diff --git a/node_modules/@actions/core/lib/command.d.ts b/node_modules/@actions/core/lib/command.d.ts
index 51b8f116d..94d5e449c 100644
--- a/node_modules/@actions/core/lib/command.d.ts
+++ b/node_modules/@actions/core/lib/command.d.ts
@@ -1,5 +1,5 @@
 interface CommandProperties {
-    [key: string]: string;
+    [key: string]: any;
 }
 /**
  * Commands
@@ -11,6 +11,11 @@ interface CommandProperties {
  *   ::warning::This is the message
  *   ::set-env name=MY_VAR::some value
  */
-export declare function issueCommand(command: string, properties: CommandProperties, message: string): void;
+export declare function issueCommand(command: string, properties: CommandProperties, message: any): void;
 export declare function issue(name: string, message?: string): void;
+/**
+ * Sanitizes an input into a string so it can be passed into issueCommand safely
+ * @param input input to sanitize into a string
+ */
+export declare function toCommandValue(input: any): string;
 export {};
diff --git a/node_modules/@actions/core/lib/command.js b/node_modules/@actions/core/lib/command.js
index eeef233ee..af28d2b11 100644
--- a/node_modules/@actions/core/lib/command.js
+++ b/node_modules/@actions/core/lib/command.js
@@ -61,14 +61,28 @@ class Command {
         return cmdStr;
     }
 }
+/**
+ * Sanitizes an input into a string so it can be passed into issueCommand safely
+ * @param input input to sanitize into a string
+ */
+function toCommandValue(input) {
+    if (input === null || input === undefined) {
+        return '';
+    }
+    else if (typeof input === 'string' || input instanceof String) {
+        return input;
+    }
+    return JSON.stringify(input);
+}
+exports.toCommandValue = toCommandValue;
 function escapeData(s) {
-    return (s || '')
+    return toCommandValue(s)
         .replace(/%/g, '%25')
         .replace(/\r/g, '%0D')
         .replace(/\n/g, '%0A');
 }
 function escapeProperty(s) {
-    return (s || '')
+    return toCommandValue(s)
         .replace(/%/g, '%25')
         .replace(/\r/g, '%0D')
         .replace(/\n/g, '%0A')
diff --git a/node_modules/@actions/core/lib/command.js.map b/node_modules/@actions/core/lib/command.js.map
index 00a9861e6..ae755652c 100644
--- a/node_modules/@actions/core/lib/command.js.map
+++ b/node_modules/@actions/core/lib/command.js.map
@@ -1 +1 @@
-{"version":3,"file":"command.js","sourceRoot":"","sources":["../src/command.ts"],"names":[],"mappings":";;;;;;;;;AAAA,uCAAwB;AAQxB;;;;;;;;;GASG;AACH,SAAgB,YAAY,CAC1B,OAAe,EACf,UAA6B,EAC7B,OAAe;IAEf,MAAM,GAAG,GAAG,IAAI,OAAO,CAAC,OAAO,EAAE,UAAU,EAAE,OAAO,CAAC,CAAA;IACrD,OAAO,CAAC,MAAM,CAAC,KAAK,CAAC,GAAG,CAAC,QAAQ,EAAE,GAAG,EAAE,CAAC,GAAG,CAAC,CAAA;AAC/C,CAAC;AAPD,oCAOC;AAED,SAAgB,KAAK,CAAC,IAAY,EAAE,UAAkB,EAAE;IACtD,YAAY,CAAC,IAAI,EAAE,EAAE,EAAE,OAAO,CAAC,CAAA;AACjC,CAAC;AAFD,sBAEC;AAED,MAAM,UAAU,GAAG,IAAI,CAAA;AAEvB,MAAM,OAAO;IAKX,YAAY,OAAe,EAAE,UAA6B,EAAE,OAAe;QACzE,IAAI,CAAC,OAAO,EAAE;YACZ,OAAO,GAAG,iBAAiB,CAAA;SAC5B;QAED,IAAI,CAAC,OAAO,GAAG,OAAO,CAAA;QACtB,IAAI,CAAC,UAAU,GAAG,UAAU,CAAA;QAC5B,IAAI,CAAC,OAAO,GAAG,OAAO,CAAA;IACxB,CAAC;IAED,QAAQ;QACN,IAAI,MAAM,GAAG,UAAU,GAAG,IAAI,CAAC,OAAO,CAAA;QAEtC,IAAI,IAAI,CAAC,UAAU,IAAI,MAAM,CAAC,IAAI,CAAC,IAAI,CAAC,UAAU,CAAC,CAAC,MAAM,GAAG,CAAC,EAAE;YAC9D,MAAM,IAAI,GAAG,CAAA;YACb,IAAI,KAAK,GAAG,IAAI,CAAA;YAChB,KAAK,MAAM,GAAG,IAAI,IAAI,CAAC,UAAU,EAAE;gBACjC,IAAI,IAAI,CAAC,UAAU,CAAC,cAAc,CAAC,GAAG,CAAC,EAAE;oBACvC,MAAM,GAAG,GAAG,IAAI,CAAC,UAAU,CAAC,GAAG,CAAC,CAAA;oBAChC,IAAI,GAAG,EAAE;wBACP,IAAI,KAAK,EAAE;4BACT,KAAK,GAAG,KAAK,CAAA;yBACd;6BAAM;4BACL,MAAM,IAAI,GAAG,CAAA;yBACd;wBAED,MAAM,IAAI,GAAG,GAAG,IAAI,cAAc,CAAC,GAAG,CAAC,EAAE,CAAA;qBAC1C;iBACF;aACF;SACF;QAED,MAAM,IAAI,GAAG,UAAU,GAAG,UAAU,CAAC,IAAI,CAAC,OAAO,CAAC,EAAE,CAAA;QACpD,OAAO,MAAM,CAAA;IACf,CAAC;CACF;AAED,SAAS,UAAU,CAAC,CAAS;IAC3B,OAAO,CAAC,CAAC,IAAI,EAAE,CAAC;SACb,OAAO,CAAC,IAAI,EAAE,KAAK,CAAC;SACpB,OAAO,CAAC,KAAK,EAAE,KAAK,CAAC;SACrB,OAAO,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;AAC1B,CAAC;AAED,SAAS,cAAc,CAAC,CAAS;IAC/B,OAAO,CAAC,CAAC,IAAI,EAAE,CAAC;SACb,OAAO,CAAC,IAAI,EAAE,KAAK,CAAC;SACpB,OAAO,CAAC,KAAK,EAAE,KAAK,CAAC;SACrB,OAAO,CAAC,KAAK,EAAE,KAAK,CAAC;SACrB,OAAO,CAAC,IAAI,EAAE,KAAK,CAAC;SACpB,OAAO,CAAC,IAAI,EAAE,KAAK,CAAC,CAAA;AACzB,CAAC"}
\ No newline at end of file
+{"version":3,"file":"command.js","sourceRoot":"","sources":["../src/command.ts"],"names":[],"mappings":";;;;;;;;;AAAA,uCAAwB;AAWxB;;;;;;;;;GASG;AACH,SAAgB,YAAY,CAC1B,OAAe,EACf,UAA6B,EAC7B,OAAY;IAEZ,MAAM,GAAG,GAAG,IAAI,OAAO,CAAC,OAAO,EAAE,UAAU,EAAE,OAAO,CAAC,CAAA;IACrD,OAAO,CAAC,MAAM,CAAC,KAAK,CAAC,GAAG,CAAC,QAAQ,EAAE,GAAG,EAAE,CAAC,GAAG,CAAC,CAAA;AAC/C,CAAC;AAPD,oCAOC;AAED,SAAgB,KAAK,CAAC,IAAY,EAAE,UAAkB,EAAE;IACtD,YAAY,CAAC,IAAI,EAAE,EAAE,EAAE,OAAO,CAAC,CAAA;AACjC,CAAC;AAFD,sBAEC;AAED,MAAM,UAAU,GAAG,IAAI,CAAA;AAEvB,MAAM,OAAO;IAKX,YAAY,OAAe,EAAE,UAA6B,EAAE,OAAe;QACzE,IAAI,CAAC,OAAO,EAAE;YACZ,OAAO,GAAG,iBAAiB,CAAA;SAC5B;QAED,IAAI,CAAC,OAAO,GAAG,OAAO,CAAA;QACtB,IAAI,CAAC,UAAU,GAAG,UAAU,CAAA;QAC5B,IAAI,CAAC,OAAO,GAAG,OAAO,CAAA;IACxB,CAAC;IAED,QAAQ;QACN,IAAI,MAAM,GAAG,UAAU,GAAG,IAAI,CAAC,OAAO,CAAA;QAEtC,IAAI,IAAI,CAAC,UAAU,IAAI,MAAM,CAAC,IAAI,CAAC,IAAI,CAAC,UAAU,CAAC,CAAC,MAAM,GAAG,CAAC,EAAE;YAC9D,MAAM,IAAI,GAAG,CAAA;YACb,IAAI,KAAK,GAAG,IAAI,CAAA;YAChB,KAAK,MAAM,GAAG,IAAI,IAAI,CAAC,UAAU,EAAE;gBACjC,IAAI,IAAI,CAAC,UAAU,CAAC,cAAc,CAAC,GAAG,CAAC,EAAE;oBACvC,MAAM,GAAG,GAAG,IAAI,CAAC,UAAU,CAAC,GAAG,CAAC,CAAA;oBAChC,IAAI,GAAG,EAAE;wBACP,IAAI,KAAK,EAAE;4BACT,KAAK,GAAG,KAAK,CAAA;yBACd;6BAAM;4BACL,MAAM,IAAI,GAAG,CAAA;yBACd;wBAED,MAAM,IAAI,GAAG,GAAG,IAAI,cAAc,CAAC,GAAG,CAAC,EAAE,CAAA;qBAC1C;iBACF;aACF;SACF;QAED,MAAM,IAAI,GAAG,UAAU,GAAG,UAAU,CAAC,IAAI,CAAC,OAAO,CAAC,EAAE,CAAA;QACpD,OAAO,MAAM,CAAA;IACf,CAAC;CACF;AAED;;;GAGG;AACH,SAAgB,cAAc,CAAC,KAAU;IACvC,IAAI,KAAK,KAAK,IAAI,IAAI,KAAK,KAAK,SAAS,EAAE;QACzC,OAAO,EAAE,CAAA;KACV;SAAM,IAAI,OAAO,KAAK,KAAK,QAAQ,IAAI,KAAK,YAAY,MAAM,EAAE;QAC/D,OAAO,KAAe,CAAA;KACvB;IACD,OAAO,IAAI,CAAC,SAAS,CAAC,KAAK,CAAC,CAAA;AAC9B,CAAC;AAPD,wCAOC;AAED,SAAS,UAAU,CAAC,CAAM;IACxB,OAAO,cAAc,CAAC,CAAC,CAAC;SACrB,OAAO,CAAC,IAAI,EAAE,KAAK,CAAC;SACpB,OAAO,CAAC,KAAK,EAAE,KAAK,CAAC;SACrB,OAAO,CAAC,KAAK,EAAE,KAAK,CAAC,CAAA;AAC1B,CAAC;AAED,SAAS,cAAc,CAAC,CAAM;IAC5B,OAAO,cAAc,CAAC,CAAC,CAAC;SACrB,OAAO,CAAC,IAAI,EAAE,KAAK,CAAC;SACpB,OAAO,CAAC,KAAK,EAAE,KAAK,CAAC;SACrB,OAAO,CAAC,KAAK,EAAE,KAAK,CAAC;SACrB,OAAO,CAAC,IAAI,EAAE,KAAK,CAAC;SACpB,OAAO,CAAC,IAAI,EAAE,KAAK,CAAC,CAAA;AACzB,CAAC"}
\ No newline at end of file
diff --git a/node_modules/@actions/core/lib/core.d.ts b/node_modules/@actions/core/lib/core.d.ts
index 8fcc31bae..8bb5093c5 100644
--- a/node_modules/@actions/core/lib/core.d.ts
+++ b/node_modules/@actions/core/lib/core.d.ts
@@ -21,9 +21,9 @@ export declare enum ExitCode {
 /**
  * Sets env variable for this action and future actions in the job
  * @param name the name of the variable to set
- * @param val the value of the variable
+ * @param val the value of the variable. Non-string values will be converted to a string via JSON.stringify
  */
-export declare function exportVariable(name: string, val: string): void;
+export declare function exportVariable(name: string, val: any): void;
 /**
  * Registers a secret which will get masked from logs
  * @param secret value of the secret
@@ -46,15 +46,21 @@ export declare function getInput(name: string, options?: InputOptions): string;
  * Sets the value of an output.
  *
  * @param     name     name of the output to set
- * @param     value    value to store
+ * @param     value    value to store. Non-string values will be converted to a string via JSON.stringify
  */
-export declare function setOutput(name: string, value: string): void;
+export declare function setOutput(name: string, value: any): void;
+/**
+ * Enables or disables the echoing of commands into stdout for the rest of the step.
+ * Echoing is disabled by default if ACTIONS_STEP_DEBUG is not set.
+ *
+ */
+export declare function setCommandEcho(enabled: boolean): void;
 /**
  * Sets the action status to failed.
  * When the action exits it will be with an exit code of 1
  * @param message add error issue message
  */
-export declare function setFailed(message: string): void;
+export declare function setFailed(message: string | Error): void;
 /**
  * Gets whether Actions Step Debug is on or not
  */
@@ -66,14 +72,14 @@ export declare function isDebug(): boolean;
 export declare function debug(message: string): void;
 /**
  * Adds an error issue
- * @param message error issue message
+ * @param message error issue message. Errors will be converted to string via toString()
  */
-export declare function error(message: string): void;
+export declare function error(message: string | Error): void;
 /**
  * Adds an warning issue
- * @param message warning issue message
+ * @param message warning issue message. Errors will be converted to string via toString()
  */
-export declare function warning(message: string): void;
+export declare function warning(message: string | Error): void;
 /**
  * Writes info to log with console.log.
  * @param message info message
@@ -104,9 +110,9 @@ export declare function group<T>(name: string, fn: () => Promise<T>): Promise<T>
  * Saves state for current action, the state can only be retrieved by this action's post job execution.
  *
  * @param     name     name of the state to store
- * @param     value    value to store
+ * @param     value    value to store. Non-string values will be converted to a string via JSON.stringify
  */
-export declare function saveState(name: string, value: string): void;
+export declare function saveState(name: string, value: any): void;
 /**
  * Gets the value of an state set by this action's main execution.
  *
diff --git a/node_modules/@actions/core/lib/core.js b/node_modules/@actions/core/lib/core.js
index b7ec8ab45..c838f4e20 100644
--- a/node_modules/@actions/core/lib/core.js
+++ b/node_modules/@actions/core/lib/core.js
@@ -39,11 +39,13 @@ var ExitCode;
 /**
  * Sets env variable for this action and future actions in the job
  * @param name the name of the variable to set
- * @param val the value of the variable
+ * @param val the value of the variable. Non-string values will be converted to a string via JSON.stringify
  */
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
 function exportVariable(name, val) {
-    process.env[name] = val;
-    command_1.issueCommand('set-env', { name }, val);
+    const convertedVal = command_1.toCommandValue(val);
+    process.env[name] = convertedVal;
+    command_1.issueCommand('set-env', { name }, convertedVal);
 }
 exports.exportVariable = exportVariable;
 /**
@@ -82,12 +84,22 @@ exports.getInput = getInput;
  * Sets the value of an output.
  *
  * @param     name     name of the output to set
- * @param     value    value to store
+ * @param     value    value to store. Non-string values will be converted to a string via JSON.stringify
  */
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
 function setOutput(name, value) {
     command_1.issueCommand('set-output', { name }, value);
 }
 exports.setOutput = setOutput;
+/**
+ * Enables or disables the echoing of commands into stdout for the rest of the step.
+ * Echoing is disabled by default if ACTIONS_STEP_DEBUG is not set.
+ *
+ */
+function setCommandEcho(enabled) {
+    command_1.issue('echo', enabled ? 'on' : 'off');
+}
+exports.setCommandEcho = setCommandEcho;
 //-----------------------------------------------------------------------
 // Results
 //-----------------------------------------------------------------------
@@ -121,18 +133,18 @@ function debug(message) {
 exports.debug = debug;
 /**
  * Adds an error issue
- * @param message error issue message
+ * @param message error issue message. Errors will be converted to string via toString()
  */
 function error(message) {
-    command_1.issue('error', message);
+    command_1.issue('error', message instanceof Error ? message.toString() : message);
 }
 exports.error = error;
 /**
  * Adds an warning issue
- * @param message warning issue message
+ * @param message warning issue message. Errors will be converted to string via toString()
  */
 function warning(message) {
-    command_1.issue('warning', message);
+    command_1.issue('warning', message instanceof Error ? message.toString() : message);
 }
 exports.warning = warning;
 /**
@@ -190,8 +202,9 @@ exports.group = group;
  * Saves state for current action, the state can only be retrieved by this action's post job execution.
  *
  * @param     name     name of the state to store
- * @param     value    value to store
+ * @param     value    value to store. Non-string values will be converted to a string via JSON.stringify
  */
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
 function saveState(name, value) {
     command_1.issueCommand('save-state', { name }, value);
 }
diff --git a/node_modules/@actions/core/lib/core.js.map b/node_modules/@actions/core/lib/core.js.map
index fb93bd383..68e9f313f 100644
--- a/node_modules/@actions/core/lib/core.js.map
+++ b/node_modules/@actions/core/lib/core.js.map
@@ -1 +1 @@
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\ No newline at end of file
+{"version":3,"file":"core.js","sourceRoot":"","sources":["../src/core.ts"],"names":[],"mappings":";;;;;;;;;;;;;;;;;;AAAA,uCAA6D;AAE7D,uCAAwB;AACxB,2CAA4B;AAU5B;;GAEG;AACH,IAAY,QAUX;AAVD,WAAY,QAAQ;IAClB;;OAEG;IACH,6CAAW,CAAA;IAEX;;OAEG;IACH,6CAAW,CAAA;AACb,CAAC,EAVW,QAAQ,GAAR,gBAAQ,KAAR,gBAAQ,QAUnB;AAED,yEAAyE;AACzE,YAAY;AACZ,yEAAyE;AAEzE;;;;GAIG;AACH,8DAA8D;AAC9D,SAAgB,cAAc,CAAC,IAAY,EAAE,GAAQ;IACnD,MAAM,YAAY,GAAG,wBAAc,CAAC,GAAG,CAAC,CAAA;IACxC,OAAO,CAAC,GAAG,CAAC,IAAI,CAAC,GAAG,YAAY,CAAA;IAChC,sBAAY,CAAC,SAAS,EAAE,EAAC,IAAI,EAAC,EAAE,YAAY,CAAC,CAAA;AAC/C,CAAC;AAJD,wCAIC;AAED;;;GAGG;AACH,SAAgB,SAAS,CAAC,MAAc;IACtC,sBAAY,CAAC,UAAU,EAAE,EAAE,EAAE,MAAM,CAAC,CAAA;AACtC,CAAC;AAFD,8BAEC;AAED;;;GAGG;AACH,SAAgB,OAAO,CAAC,SAAiB;IACvC,sBAAY,CAAC,UAAU,EAAE,EAAE,EAAE,SAAS,CAAC,CAAA;IACvC,OAAO,CAAC,GAAG,CAAC,MAAM,CAAC,GAAG,GAAG,SAAS,GAAG,IAAI,CAAC,SAAS,GAAG,OAAO,CAAC,GAAG,CAAC,MAAM,CAAC,EAAE,CAAA;AAC7E,CAAC;AAHD,0BAGC;AAED;;;;;;GAMG;AACH,SAAgB,QAAQ,CAAC,IAAY,EAAE,OAAsB;IAC3D,MAAM,GAAG,GACP,OAAO,CAAC,GAAG,CAAC,SAAS,IAAI,CAAC,OAAO,CAAC,IAAI,EAAE,GAAG,CAAC,CAAC,WAAW,EAAE,EAAE,CAAC,IAAI,EAAE,CAAA;IACrE,IAAI,OAAO,IAAI,OAAO,CAAC,QAAQ,IAAI,CAAC,GAAG,EAAE;QACvC,MAAM,IAAI,KAAK,CAAC,oCAAoC,IAAI,EAAE,CAAC,CAAA;KAC5D;IAED,OAAO,GAAG,CAAC,IAAI,EAAE,CAAA;AACnB,CAAC;AARD,4BAQC;AAED;;;;;GAKG;AACH,8DAA8D;AAC9D,SAAgB,SAAS,CAAC,IAAY,EAAE,KAAU;IAChD,sBAAY,CAAC,YAAY,EAAE,EAAC,IAAI,EAAC,EAAE,KAAK,CAAC,CAAA;AAC3C,CAAC;AAFD,8BAEC;AAED;;;;GAIG;AACH,SAAgB,cAAc,CAAC,OAAgB;IAC7C,eAAK,CAAC,MAAM,EAAE,OAAO,CAAC,CAAC,CAAC,IAAI,CAAC,CAAC,CAAC,KAAK,CAAC,CAAA;AACvC,CAAC;AAFD,wCAEC;AAED,yEAAyE;AACzE,UAAU;AACV,yEAAyE;AAEzE;;;;GAIG;AACH,SAAgB,SAAS,CAAC,OAAuB;IAC/C,OAAO,CAAC,QAAQ,GAAG,QAAQ,CAAC,OAAO,CAAA;IAEnC,KAAK,CAAC,OAAO,CAAC,CAAA;AAChB,CAAC;AAJD,8BAIC;AAED,yEAAyE;AACzE,mBAAmB;AACnB,yEAAyE;AAEzE;;GAEG;AACH,SAAgB,OAAO;IACrB,OAAO,OAAO,CAAC,GAAG,CAAC,cAAc,CAAC,KAAK,GAAG,CAAA;AAC5C,CAAC;AAFD,0BAEC;AAED;;;GAGG;AACH,SAAgB,KAAK,CAAC,OAAe;IACnC,sBAAY,CAAC,OAAO,EAAE,EAAE,EAAE,OAAO,CAAC,CAAA;AACpC,CAAC;AAFD,sBAEC;AAED;;;GAGG;AACH,SAAgB,KAAK,CAAC,OAAuB;IAC3C,eAAK,CAAC,OAAO,EAAE,OAAO,YAAY,KAAK,CAAC,CAAC,CAAC,OAAO,CAAC,QAAQ,EAAE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAA;AACzE,CAAC;AAFD,sBAEC;AAED;;;GAGG;AACH,SAAgB,OAAO,CAAC,OAAuB;IAC7C,eAAK,CAAC,SAAS,EAAE,OAAO,YAAY,KAAK,CAAC,CAAC,CAAC,OAAO,CAAC,QAAQ,EAAE,CAAC,CAAC,CAAC,OAAO,CAAC,CAAA;AAC3E,CAAC;AAFD,0BAEC;AAED;;;GAGG;AACH,SAAgB,IAAI,CAAC,OAAe;IAClC,OAAO,CAAC,MAAM,CAAC,KAAK,CAAC,OAAO,GAAG,EAAE,CAAC,GAAG,CAAC,CAAA;AACxC,CAAC;AAFD,oBAEC;AAED;;;;;;GAMG;AACH,SAAgB,UAAU,CAAC,IAAY;IACrC,eAAK,CAAC,OAAO,EAAE,IAAI,CAAC,CAAA;AACtB,CAAC;AAFD,gCAEC;AAED;;GAEG;AACH,SAAgB,QAAQ;IACtB,eAAK,CAAC,UAAU,CAAC,CAAA;AACnB,CAAC;AAFD,4BAEC;AAED;;;;;;;GAOG;AACH,SAAsB,KAAK,CAAI,IAAY,EAAE,EAAoB;;QAC/D,UAAU,CAAC,IAAI,CAAC,CAAA;QAEhB,IAAI,MAAS,CAAA;QAEb,IAAI;YACF,MAAM,GAAG,MAAM,EAAE,EAAE,CAAA;SACpB;gBAAS;YACR,QAAQ,EAAE,CAAA;SACX;QAED,OAAO,MAAM,CAAA;IACf,CAAC;CAAA;AAZD,sBAYC;AAED,yEAAyE;AACzE,uBAAuB;AACvB,yEAAyE;AAEzE;;;;;GAKG;AACH,8DAA8D;AAC9D,SAAgB,SAAS,CAAC,IAAY,EAAE,KAAU;IAChD,sBAAY,CAAC,YAAY,EAAE,EAAC,IAAI,EAAC,EAAE,KAAK,CAAC,CAAA;AAC3C,CAAC;AAFD,8BAEC;AAED;;;;;GAKG;AACH,SAAgB,QAAQ,CAAC,IAAY;IACnC,OAAO,OAAO,CAAC,GAAG,CAAC,SAAS,IAAI,EAAE,CAAC,IAAI,EAAE,CAAA;AAC3C,CAAC;AAFD,4BAEC"}
\ No newline at end of file
diff --git a/node_modules/@actions/core/package.json b/node_modules/@actions/core/package.json
index d7c327788..0908da5b3 100644
--- a/node_modules/@actions/core/package.json
+++ b/node_modules/@actions/core/package.json
@@ -1,33 +1,33 @@
 {
   "_args": [
     [
-      "@actions/core@1.2.3",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@actions/core@1.2.4",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@actions/core@1.2.3",
-  "_id": "@actions/core@1.2.3",
+  "_from": "@actions/core@1.2.4",
+  "_id": "@actions/core@1.2.4",
   "_inBundle": false,
-  "_integrity": "sha512-Wp4xnyokakM45Uuj4WLUxdsa8fJjKVl1fDTsPbTEcTcuu0Nb26IPQbOtjmnfaCPGcaoPOOqId8H9NapZ8gii4w==",
+  "_integrity": "sha512-YJCEq8BE3CdN8+7HPZ/4DxJjk/OkZV2FFIf+DlZTC/4iBlzYCD5yjRR6eiOS5llO11zbRltIRuKAjMKaWTE6cg==",
   "_location": "/@actions/core",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@actions/core@1.2.3",
+    "raw": "@actions/core@1.2.4",
     "name": "@actions/core",
     "escapedName": "@actions%2fcore",
     "scope": "@actions",
-    "rawSpec": "1.2.3",
+    "rawSpec": "1.2.4",
     "saveSpec": null,
-    "fetchSpec": "1.2.3"
+    "fetchSpec": "1.2.4"
   },
   "_requiredBy": [
     "/"
   ],
-  "_resolved": "https://registry.npmjs.org/@actions/core/-/core-1.2.3.tgz",
-  "_spec": "1.2.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@actions/core/-/core-1.2.4.tgz",
+  "_spec": "1.2.4",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/actions/toolkit/issues"
   },
@@ -65,5 +65,5 @@
     "tsc": "tsc"
   },
   "types": "lib/core.d.ts",
-  "version": "1.2.3"
+  "version": "1.2.4"
 }
diff --git a/node_modules/@actions/github/README.md b/node_modules/@actions/github/README.md
index d6cf49b1e..02e9be077 100644
--- a/node_modules/@actions/github/README.md
+++ b/node_modules/@actions/github/README.md
@@ -4,7 +4,7 @@
 
 ## Usage
 
-Returns an authenticated Octokit client that follows the machine [proxy settings](https://help.github.com/en/actions/automating-your-workflow-with-github-actions/about-self-hosted-runners#using-a-proxy-server-with-self-hosted-runners). See https://octokit.github.io/rest.js for the API.
+Returns an authenticated Octokit client that follows the machine [proxy settings](https://help.github.com/en/actions/hosting-your-own-runners/using-a-proxy-server-with-self-hosted-runners) and correctly sets GHES base urls. See https://octokit.github.io/rest.js for the API.
 
 ```js
 const github = require('@actions/github');
@@ -17,7 +17,10 @@ async function run() {
     // https://help.github.com/en/actions/automating-your-workflow-with-github-actions/authenticating-with-the-github_token#about-the-github_token-secret
     const myToken = core.getInput('myToken');
 
-    const octokit = new github.GitHub(myToken);
+    const octokit = github.getOctokit(myToken)
+
+    // You can also pass in additional options as a second parameter to getOctokit
+    // const octokit = github.getOctokit(myToken, {userAgent: "MyActionVersion1"});
 
     const { data: pullRequest } = await octokit.pulls.get({
         owner: 'octokit',
@@ -34,8 +37,6 @@ async function run() {
 run();
 ```
 
-You can pass client options, as specified by [Octokit](https://octokit.github.io/rest.js/), as a second argument to the `GitHub` constructor.
-
 You can also make GraphQL requests. See https://github.com/octokit/graphql.js for the API.
 
 ```js
@@ -72,3 +73,25 @@ if (github.context.eventName === 'push') {
   core.info(`The head commit is: ${pushPayload.head}`)
 }
 ```
+
+## Extending the Octokit instance
+`@octokit/core` now supports the [plugin architecture](https://github.com/octokit/core.js#plugins). You can extend the GitHub instance using plugins. 
+
+For example, using the `@octokit/plugin-enterprise-server` you can now access enterprise admin apis on GHES instances.
+
+```ts
+import { GitHub, getOctokitOptions } from '@actions/github/lib/utils'
+import { enterpriseServer220Admin } from '@octokit/plugin-enterprise-server'
+
+const octokit = GitHub.plugin(enterpriseServer220Admin)
+// or override some of the default values as well 
+// const octokit = GitHub.plugin(enterpriseServer220Admin).defaults({userAgent: "MyNewUserAgent"})
+
+const myToken = core.getInput('myToken');
+const myOctokit = new octokit(getOctokitOptions(token))
+// Create a new user
+myOctokit.enterpriseAdmin.createUser({
+  login: "testuser",
+  email: "testuser@test.com",
+});
+```
diff --git a/node_modules/@actions/github/lib/context.d.ts b/node_modules/@actions/github/lib/context.d.ts
index 434fdb124..daab690c7 100644
--- a/node_modules/@actions/github/lib/context.d.ts
+++ b/node_modules/@actions/github/lib/context.d.ts
@@ -10,6 +10,9 @@ export declare class Context {
     workflow: string;
     action: string;
     actor: string;
+    job: string;
+    runNumber: number;
+    runId: number;
     /**
      * Hydrate the context from the environment
      */
diff --git a/node_modules/@actions/github/lib/context.js b/node_modules/@actions/github/lib/context.js
index 25ceea5a6..dd4d10a06 100644
--- a/node_modules/@actions/github/lib/context.js
+++ b/node_modules/@actions/github/lib/context.js
@@ -1,5 +1,6 @@
 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
+exports.Context = void 0;
 const fs_1 = require("fs");
 const os_1 = require("os");
 class Context {
@@ -23,6 +24,9 @@ class Context {
         this.workflow = process.env.GITHUB_WORKFLOW;
         this.action = process.env.GITHUB_ACTION;
         this.actor = process.env.GITHUB_ACTOR;
+        this.job = process.env.GITHUB_JOB;
+        this.runNumber = parseInt(process.env.GITHUB_RUN_NUMBER, 10);
+        this.runId = parseInt(process.env.GITHUB_RUN_ID, 10);
     }
     get issue() {
         const payload = this.payload;
diff --git a/node_modules/@actions/github/lib/context.js.map b/node_modules/@actions/github/lib/context.js.map
index d05ca0d36..9c4eafe1a 100644
--- a/node_modules/@actions/github/lib/context.js.map
+++ b/node_modules/@actions/github/lib/context.js.map
@@ -1 +1 @@
-{"version":3,"file":"context.js","sourceRoot":"","sources":["../src/context.ts"],"names":[],"mappings":";;AAEA,2BAA2C;AAC3C,2BAAsB;AAEtB,MAAa,OAAO;IAalB;;OAEG;IACH;QACE,IAAI,CAAC,OAAO,GAAG,EAAE,CAAA;QACjB,IAAI,OAAO,CAAC,GAAG,CAAC,iBAAiB,EAAE;YACjC,IAAI,eAAU,CAAC,OAAO,CAAC,GAAG,CAAC,iBAAiB,CAAC,EAAE;gBAC7C,IAAI,CAAC,OAAO,GAAG,IAAI,CAAC,KAAK,CACvB,iBAAY,CAAC,OAAO,CAAC,GAAG,CAAC,iBAAiB,EAAE,EAAC,QAAQ,EAAE,MAAM,EAAC,CAAC,CAChE,CAAA;aACF;iBAAM;gBACL,MAAM,IAAI,GAAG,OAAO,CAAC,GAAG,CAAC,iBAAiB,CAAA;gBAC1C,OAAO,CAAC,MAAM,CAAC,KAAK,CAAC,qBAAqB,IAAI,kBAAkB,QAAG,EAAE,CAAC,CAAA;aACvE;SACF;QACD,IAAI,CAAC,SAAS,GAAG,OAAO,CAAC,GAAG,CAAC,iBAA2B,CAAA;QACxD,IAAI,CAAC,GAAG,GAAG,OAAO,CAAC,GAAG,CAAC,UAAoB,CAAA;QAC3C,IAAI,CAAC,GAAG,GAAG,OAAO,CAAC,GAAG,CAAC,UAAoB,CAAA;QAC3C,IAAI,CAAC,QAAQ,GAAG,OAAO,CAAC,GAAG,CAAC,eAAyB,CAAA;QACrD,IAAI,CAAC,MAAM,GAAG,OAAO,CAAC,GAAG,CAAC,aAAuB,CAAA;QACjD,IAAI,CAAC,KAAK,GAAG,OAAO,CAAC,GAAG,CAAC,YAAsB,CAAA;IACjD,CAAC;IAED,IAAI,KAAK;QACP,MAAM,OAAO,GAAG,IAAI,CAAC,OAAO,CAAA;QAE5B,uCACK,IAAI,CAAC,IAAI,KACZ,MAAM,EAAE,CAAC,OAAO,CAAC,KAAK,IAAI,OAAO,CAAC,YAAY,IAAI,OAAO,CAAC,CAAC,MAAM,IAClE;IACH,CAAC;IAED,IAAI,IAAI;QACN,IAAI,OAAO,CAAC,GAAG,CAAC,iBAAiB,EAAE;YACjC,MAAM,CAAC,KAAK,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,GAAG,CAAC,iBAAiB,CAAC,KAAK,CAAC,GAAG,CAAC,CAAA;YAC9D,OAAO,EAAC,KAAK,EAAE,IAAI,EAAC,CAAA;SACrB;QAED,IAAI,IAAI,CAAC,OAAO,CAAC,UAAU,EAAE;YAC3B,OAAO;gBACL,KAAK,EAAE,IAAI,CAAC,OAAO,CAAC,UAAU,CAAC,KAAK,CAAC,KAAK;gBAC1C,IAAI,EAAE,IAAI,CAAC,OAAO,CAAC,UAAU,CAAC,IAAI;aACnC,CAAA;SACF;QAED,MAAM,IAAI,KAAK,CACb,kFAAkF,CACnF,CAAA;IACH,CAAC;CACF;AA9DD,0BA8DC"}
\ No newline at end of file
+{"version":3,"file":"context.js","sourceRoot":"","sources":["../src/context.ts"],"names":[],"mappings":";;;AAEA,2BAA2C;AAC3C,2BAAsB;AAEtB,MAAa,OAAO;IAgBlB;;OAEG;IACH;QACE,IAAI,CAAC,OAAO,GAAG,EAAE,CAAA;QACjB,IAAI,OAAO,CAAC,GAAG,CAAC,iBAAiB,EAAE;YACjC,IAAI,eAAU,CAAC,OAAO,CAAC,GAAG,CAAC,iBAAiB,CAAC,EAAE;gBAC7C,IAAI,CAAC,OAAO,GAAG,IAAI,CAAC,KAAK,CACvB,iBAAY,CAAC,OAAO,CAAC,GAAG,CAAC,iBAAiB,EAAE,EAAC,QAAQ,EAAE,MAAM,EAAC,CAAC,CAChE,CAAA;aACF;iBAAM;gBACL,MAAM,IAAI,GAAG,OAAO,CAAC,GAAG,CAAC,iBAAiB,CAAA;gBAC1C,OAAO,CAAC,MAAM,CAAC,KAAK,CAAC,qBAAqB,IAAI,kBAAkB,QAAG,EAAE,CAAC,CAAA;aACvE;SACF;QACD,IAAI,CAAC,SAAS,GAAG,OAAO,CAAC,GAAG,CAAC,iBAA2B,CAAA;QACxD,IAAI,CAAC,GAAG,GAAG,OAAO,CAAC,GAAG,CAAC,UAAoB,CAAA;QAC3C,IAAI,CAAC,GAAG,GAAG,OAAO,CAAC,GAAG,CAAC,UAAoB,CAAA;QAC3C,IAAI,CAAC,QAAQ,GAAG,OAAO,CAAC,GAAG,CAAC,eAAyB,CAAA;QACrD,IAAI,CAAC,MAAM,GAAG,OAAO,CAAC,GAAG,CAAC,aAAuB,CAAA;QACjD,IAAI,CAAC,KAAK,GAAG,OAAO,CAAC,GAAG,CAAC,YAAsB,CAAA;QAC/C,IAAI,CAAC,GAAG,GAAG,OAAO,CAAC,GAAG,CAAC,UAAoB,CAAA;QAC3C,IAAI,CAAC,SAAS,GAAG,QAAQ,CAAC,OAAO,CAAC,GAAG,CAAC,iBAA2B,EAAE,EAAE,CAAC,CAAA;QACtE,IAAI,CAAC,KAAK,GAAG,QAAQ,CAAC,OAAO,CAAC,GAAG,CAAC,aAAuB,EAAE,EAAE,CAAC,CAAA;IAChE,CAAC;IAED,IAAI,KAAK;QACP,MAAM,OAAO,GAAG,IAAI,CAAC,OAAO,CAAA;QAE5B,uCACK,IAAI,CAAC,IAAI,KACZ,MAAM,EAAE,CAAC,OAAO,CAAC,KAAK,IAAI,OAAO,CAAC,YAAY,IAAI,OAAO,CAAC,CAAC,MAAM,IAClE;IACH,CAAC;IAED,IAAI,IAAI;QACN,IAAI,OAAO,CAAC,GAAG,CAAC,iBAAiB,EAAE;YACjC,MAAM,CAAC,KAAK,EAAE,IAAI,CAAC,GAAG,OAAO,CAAC,GAAG,CAAC,iBAAiB,CAAC,KAAK,CAAC,GAAG,CAAC,CAAA;YAC9D,OAAO,EAAC,KAAK,EAAE,IAAI,EAAC,CAAA;SACrB;QAED,IAAI,IAAI,CAAC,OAAO,CAAC,UAAU,EAAE;YAC3B,OAAO;gBACL,KAAK,EAAE,IAAI,CAAC,OAAO,CAAC,UAAU,CAAC,KAAK,CAAC,KAAK;gBAC1C,IAAI,EAAE,IAAI,CAAC,OAAO,CAAC,UAAU,CAAC,IAAI;aACnC,CAAA;SACF;QAED,MAAM,IAAI,KAAK,CACb,kFAAkF,CACnF,CAAA;IACH,CAAC;CACF;AApED,0BAoEC"}
\ No newline at end of file
diff --git a/node_modules/@actions/github/lib/github.d.ts b/node_modules/@actions/github/lib/github.d.ts
index c868122d4..90c3b985d 100644
--- a/node_modules/@actions/github/lib/github.d.ts
+++ b/node_modules/@actions/github/lib/github.d.ts
@@ -1,25 +1,11 @@
-import { graphql as GraphQL } from '@octokit/graphql/dist-types/types';
-import { Octokit } from '@octokit/rest';
 import * as Context from './context';
+import { GitHub } from './utils';
+import { OctokitOptions } from '@octokit/core/dist-types/types';
 export declare const context: Context.Context;
-export declare class GitHub extends Octokit {
-    graphql: GraphQL;
-    /**
-     * Sets up the REST client and GraphQL client with auth and proxy support.
-     * The parameter `token` or `opts.auth` must be supplied. The GraphQL client
-     * authorization is not setup when `opts.auth` is a function or object.
-     *
-     * @param token  Auth token
-     * @param opts   Octokit options
-     */
-    constructor(token: string, opts?: Omit<Octokit.Options, 'auth'>);
-    constructor(opts: Octokit.Options);
-    /**
-     * Disambiguates the constructor overload parameters
-     */
-    private static disambiguate;
-    private static getOctokitOptions;
-    private static getGraphQL;
-    private static getAuthString;
-    private static getProxyAgent;
-}
+/**
+ * Returns a hydrated octokit ready to use for GitHub Actions
+ *
+ * @param     token    the repo PAT or GITHUB_TOKEN
+ * @param     options  other options to set
+ */
+export declare function getOctokit(token: string, options?: OctokitOptions): InstanceType<typeof GitHub>;
diff --git a/node_modules/@actions/github/lib/github.js b/node_modules/@actions/github/lib/github.js
index ee4e72f1d..e30e81ec6 100644
--- a/node_modules/@actions/github/lib/github.js
+++ b/node_modules/@actions/github/lib/github.js
@@ -1,91 +1,36 @@
 "use strict";
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } });
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
+    Object.defineProperty(o, "default", { enumerable: true, value: v });
+}) : function(o, v) {
+    o["default"] = v;
+});
 var __importStar = (this && this.__importStar) || function (mod) {
     if (mod && mod.__esModule) return mod;
     var result = {};
-    if (mod != null) for (var k in mod) if (Object.hasOwnProperty.call(mod, k)) result[k] = mod[k];
-    result["default"] = mod;
+    if (mod != null) for (var k in mod) if (Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
     return result;
 };
 Object.defineProperty(exports, "__esModule", { value: true });
-// Originally pulled from https://github.com/JasonEtco/actions-toolkit/blob/master/src/github.ts
-const graphql_1 = require("@octokit/graphql");
-const rest_1 = require("@octokit/rest");
+exports.getOctokit = exports.context = void 0;
 const Context = __importStar(require("./context"));
-const httpClient = __importStar(require("@actions/http-client"));
-// We need this in order to extend Octokit
-rest_1.Octokit.prototype = new rest_1.Octokit();
+const utils_1 = require("./utils");
 exports.context = new Context.Context();
-class GitHub extends rest_1.Octokit {
-    constructor(token, opts) {
-        super(GitHub.getOctokitOptions(GitHub.disambiguate(token, opts)));
-        this.graphql = GitHub.getGraphQL(GitHub.disambiguate(token, opts));
-    }
-    /**
-     * Disambiguates the constructor overload parameters
-     */
-    static disambiguate(token, opts) {
-        return [
-            typeof token === 'string' ? token : '',
-            typeof token === 'object' ? token : opts || {}
-        ];
-    }
-    static getOctokitOptions(args) {
-        const token = args[0];
-        const options = Object.assign({}, args[1]); // Shallow clone - don't mutate the object provided by the caller
-        // Auth
-        const auth = GitHub.getAuthString(token, options);
-        if (auth) {
-            options.auth = auth;
-        }
-        // Proxy
-        const agent = GitHub.getProxyAgent(options);
-        if (agent) {
-            // Shallow clone - don't mutate the object provided by the caller
-            options.request = options.request ? Object.assign({}, options.request) : {};
-            // Set the agent
-            options.request.agent = agent;
-        }
-        return options;
-    }
-    static getGraphQL(args) {
-        const defaults = {};
-        const token = args[0];
-        const options = args[1];
-        // Authorization
-        const auth = this.getAuthString(token, options);
-        if (auth) {
-            defaults.headers = {
-                authorization: auth
-            };
-        }
-        // Proxy
-        const agent = GitHub.getProxyAgent(options);
-        if (agent) {
-            defaults.request = { agent };
-        }
-        return graphql_1.graphql.defaults(defaults);
-    }
-    static getAuthString(token, options) {
-        // Validate args
-        if (!token && !options.auth) {
-            throw new Error('Parameter token or opts.auth is required');
-        }
-        else if (token && options.auth) {
-            throw new Error('Parameters token and opts.auth may not both be specified');
-        }
-        return typeof options.auth === 'string' ? options.auth : `token ${token}`;
-    }
-    static getProxyAgent(options) {
-        var _a;
-        if (!((_a = options.request) === null || _a === void 0 ? void 0 : _a.agent)) {
-            const serverUrl = 'https://api.github.com';
-            if (httpClient.getProxyUrl(serverUrl)) {
-                const hc = new httpClient.HttpClient();
-                return hc.getAgent(serverUrl);
-            }
-        }
-        return undefined;
-    }
+/**
+ * Returns a hydrated octokit ready to use for GitHub Actions
+ *
+ * @param     token    the repo PAT or GITHUB_TOKEN
+ * @param     options  other options to set
+ */
+function getOctokit(token, options) {
+    return new utils_1.GitHub(utils_1.getOctokitOptions(token, options));
 }
-exports.GitHub = GitHub;
+exports.getOctokit = getOctokit;
 //# sourceMappingURL=github.js.map
\ No newline at end of file
diff --git a/node_modules/@actions/github/lib/github.js.map b/node_modules/@actions/github/lib/github.js.map
index 5afe3449c..717d03e85 100644
--- a/node_modules/@actions/github/lib/github.js.map
+++ b/node_modules/@actions/github/lib/github.js.map
@@ -1 +1 @@
-{"version":3,"file":"github.js","sourceRoot":"","sources":["../src/github.ts"],"names":[],"mappings":";;;;;;;;;AAAA,gGAAgG;AAChG,8CAAwC;AAUxC,wCAAqC;AACrC,mDAAoC;AAEpC,iEAAkD;AAElD,0CAA0C;AAC1C,cAAO,CAAC,SAAS,GAAG,IAAI,cAAO,EAAE,CAAA;AAEpB,QAAA,OAAO,GAAG,IAAI,OAAO,CAAC,OAAO,EAAE,CAAA;AAE5C,MAAa,MAAO,SAAQ,cAAO;IAiBjC,YAAY,KAA+B,EAAE,IAAsB;QACjE,KAAK,CAAC,MAAM,CAAC,iBAAiB,CAAC,MAAM,CAAC,YAAY,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC,CAAC,CAAA;QAEjE,IAAI,CAAC,OAAO,GAAG,MAAM,CAAC,UAAU,CAAC,MAAM,CAAC,YAAY,CAAC,KAAK,EAAE,IAAI,CAAC,CAAC,CAAA;IACpE,CAAC;IAED;;OAEG;IACK,MAAM,CAAC,YAAY,CACzB,KAA+B,EAC/B,IAAsB;QAEtB,OAAO;YACL,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,EAAE;YACtC,OAAO,KAAK,KAAK,QAAQ,CAAC,CAAC,CAAC,KAAK,CAAC,CAAC,CAAC,IAAI,IAAI,EAAE;SAC/C,CAAA;IACH,CAAC;IAEO,MAAM,CAAC,iBAAiB,CAC9B,IAA+B;QAE/B,MAAM,KAAK,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QACrB,MAAM,OAAO,qBAAO,IAAI,CAAC,CAAC,CAAC,CAAC,CAAA,CAAC,iEAAiE;QAE9F,OAAO;QACP,MAAM,IAAI,GAAG,MAAM,CAAC,aAAa,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;QACjD,IAAI,IAAI,EAAE;YACR,OAAO,CAAC,IAAI,GAAG,IAAI,CAAA;SACpB;QAED,QAAQ;QACR,MAAM,KAAK,GAAG,MAAM,CAAC,aAAa,CAAC,OAAO,CAAC,CAAA;QAC3C,IAAI,KAAK,EAAE;YACT,iEAAiE;YACjE,OAAO,CAAC,OAAO,GAAG,OAAO,CAAC,OAAO,CAAC,CAAC,mBAAK,OAAO,CAAC,OAAO,EAAE,CAAC,CAAC,EAAE,CAAA;YAE7D,gBAAgB;YAChB,OAAO,CAAC,OAAO,CAAC,KAAK,GAAG,KAAK,CAAA;SAC9B;QAED,OAAO,OAAO,CAAA;IAChB,CAAC;IAEO,MAAM,CAAC,UAAU,CAAC,IAA+B;QACvD,MAAM,QAAQ,GAA6B,EAAE,CAAA;QAC7C,MAAM,KAAK,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QACrB,MAAM,OAAO,GAAG,IAAI,CAAC,CAAC,CAAC,CAAA;QAEvB,gBAAgB;QAChB,MAAM,IAAI,GAAG,IAAI,CAAC,aAAa,CAAC,KAAK,EAAE,OAAO,CAAC,CAAA;QAC/C,IAAI,IAAI,EAAE;YACR,QAAQ,CAAC,OAAO,GAAG;gBACjB,aAAa,EAAE,IAAI;aACpB,CAAA;SACF;QAED,QAAQ;QACR,MAAM,KAAK,GAAG,MAAM,CAAC,aAAa,CAAC,OAAO,CAAC,CAAA;QAC3C,IAAI,KAAK,EAAE;YACT,QAAQ,CAAC,OAAO,GAAG,EAAC,KAAK,EAAC,CAAA;SAC3B;QAED,OAAO,iBAAO,CAAC,QAAQ,CAAC,QAAQ,CAAC,CAAA;IACnC,CAAC;IAEO,MAAM,CAAC,aAAa,CAC1B,KAAa,EACb,OAAwB;QAExB,gBAAgB;QAChB,IAAI,CAAC,KAAK,IAAI,CAAC,OAAO,CAAC,IAAI,EAAE;YAC3B,MAAM,IAAI,KAAK,CAAC,0CAA0C,CAAC,CAAA;SAC5D;aAAM,IAAI,KAAK,IAAI,OAAO,CAAC,IAAI,EAAE;YAChC,MAAM,IAAI,KAAK,CACb,0DAA0D,CAC3D,CAAA;SACF;QAED,OAAO,OAAO,OAAO,CAAC,IAAI,KAAK,QAAQ,CAAC,CAAC,CAAC,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,SAAS,KAAK,EAAE,CAAA;IAC3E,CAAC;IAEO,MAAM,CAAC,aAAa,CAC1B,OAAwB;;QAExB,IAAI,QAAC,OAAO,CAAC,OAAO,0CAAE,KAAK,CAAA,EAAE;YAC3B,MAAM,SAAS,GAAG,wBAAwB,CAAA;YAC1C,IAAI,UAAU,CAAC,WAAW,CAAC,SAAS,CAAC,EAAE;gBACrC,MAAM,EAAE,GAAG,IAAI,UAAU,CAAC,UAAU,EAAE,CAAA;gBACtC,OAAO,EAAE,CAAC,QAAQ,CAAC,SAAS,CAAC,CAAA;aAC9B;SACF;QAED,OAAO,SAAS,CAAA;IAClB,CAAC;CACF;AAhHD,wBAgHC"}
\ No newline at end of file
+{"version":3,"file":"github.js","sourceRoot":"","sources":["../src/github.ts"],"names":[],"mappings":";;;;;;;;;;;;;;;;;;;;;;AAAA,mDAAoC;AACpC,mCAAiD;AAKpC,QAAA,OAAO,GAAG,IAAI,OAAO,CAAC,OAAO,EAAE,CAAA;AAE5C;;;;;GAKG;AACH,SAAgB,UAAU,CACxB,KAAa,EACb,OAAwB;IAExB,OAAO,IAAI,cAAM,CAAC,yBAAiB,CAAC,KAAK,EAAE,OAAO,CAAC,CAAC,CAAA;AACtD,CAAC;AALD,gCAKC"}
\ No newline at end of file
diff --git a/node_modules/@actions/github/lib/interfaces.d.ts b/node_modules/@actions/github/lib/interfaces.d.ts
index 23788cced..f81033325 100644
--- a/node_modules/@actions/github/lib/interfaces.d.ts
+++ b/node_modules/@actions/github/lib/interfaces.d.ts
@@ -33,4 +33,8 @@ export interface WebhookPayload {
         id: number;
         [key: string]: any;
     };
+    comment?: {
+        id: number;
+        [key: string]: any;
+    };
 }
diff --git a/node_modules/@actions/github/lib/internal/utils.d.ts b/node_modules/@actions/github/lib/internal/utils.d.ts
new file mode 100644
index 000000000..5790d91f0
--- /dev/null
+++ b/node_modules/@actions/github/lib/internal/utils.d.ts
@@ -0,0 +1,6 @@
+/// <reference types="node" />
+import * as http from 'http';
+import { OctokitOptions } from '@octokit/core/dist-types/types';
+export declare function getAuthString(token: string, options: OctokitOptions): string | undefined;
+export declare function getProxyAgent(destinationUrl: string): http.Agent;
+export declare function getApiBaseUrl(): string;
diff --git a/node_modules/@actions/github/lib/internal/utils.js b/node_modules/@actions/github/lib/internal/utils.js
new file mode 100644
index 000000000..197a441e2
--- /dev/null
+++ b/node_modules/@actions/github/lib/internal/utils.js
@@ -0,0 +1,43 @@
+"use strict";
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } });
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
+    Object.defineProperty(o, "default", { enumerable: true, value: v });
+}) : function(o, v) {
+    o["default"] = v;
+});
+var __importStar = (this && this.__importStar) || function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null) for (var k in mod) if (Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.getApiBaseUrl = exports.getProxyAgent = exports.getAuthString = void 0;
+const httpClient = __importStar(require("@actions/http-client"));
+function getAuthString(token, options) {
+    if (!token && !options.auth) {
+        throw new Error('Parameter token or opts.auth is required');
+    }
+    else if (token && options.auth) {
+        throw new Error('Parameters token and opts.auth may not both be specified');
+    }
+    return typeof options.auth === 'string' ? options.auth : `token ${token}`;
+}
+exports.getAuthString = getAuthString;
+function getProxyAgent(destinationUrl) {
+    const hc = new httpClient.HttpClient();
+    return hc.getAgent(destinationUrl);
+}
+exports.getProxyAgent = getProxyAgent;
+function getApiBaseUrl() {
+    return process.env['GITHUB_API_URL'] || 'https://api.github.com';
+}
+exports.getApiBaseUrl = getApiBaseUrl;
+//# sourceMappingURL=utils.js.map
\ No newline at end of file
diff --git a/node_modules/@actions/github/lib/internal/utils.js.map b/node_modules/@actions/github/lib/internal/utils.js.map
new file mode 100644
index 000000000..f1f519d5f
--- /dev/null
+++ b/node_modules/@actions/github/lib/internal/utils.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"utils.js","sourceRoot":"","sources":["../../src/internal/utils.ts"],"names":[],"mappings":";;;;;;;;;;;;;;;;;;;;;;AACA,iEAAkD;AAGlD,SAAgB,aAAa,CAC3B,KAAa,EACb,OAAuB;IAEvB,IAAI,CAAC,KAAK,IAAI,CAAC,OAAO,CAAC,IAAI,EAAE;QAC3B,MAAM,IAAI,KAAK,CAAC,0CAA0C,CAAC,CAAA;KAC5D;SAAM,IAAI,KAAK,IAAI,OAAO,CAAC,IAAI,EAAE;QAChC,MAAM,IAAI,KAAK,CAAC,0DAA0D,CAAC,CAAA;KAC5E;IAED,OAAO,OAAO,OAAO,CAAC,IAAI,KAAK,QAAQ,CAAC,CAAC,CAAC,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC,SAAS,KAAK,EAAE,CAAA;AAC3E,CAAC;AAXD,sCAWC;AAED,SAAgB,aAAa,CAAC,cAAsB;IAClD,MAAM,EAAE,GAAG,IAAI,UAAU,CAAC,UAAU,EAAE,CAAA;IACtC,OAAO,EAAE,CAAC,QAAQ,CAAC,cAAc,CAAC,CAAA;AACpC,CAAC;AAHD,sCAGC;AAED,SAAgB,aAAa;IAC3B,OAAO,OAAO,CAAC,GAAG,CAAC,gBAAgB,CAAC,IAAI,wBAAwB,CAAA;AAClE,CAAC;AAFD,sCAEC"}
\ No newline at end of file
diff --git a/node_modules/@actions/github/lib/utils.d.ts b/node_modules/@actions/github/lib/utils.d.ts
new file mode 100644
index 000000000..0015a35fd
--- /dev/null
+++ b/node_modules/@actions/github/lib/utils.d.ts
@@ -0,0 +1,21 @@
+import * as Context from './context';
+import { Octokit } from '@octokit/core';
+import { OctokitOptions } from '@octokit/core/dist-types/types';
+export declare const context: Context.Context;
+export declare const GitHub: (new (...args: any[]) => {
+    [x: string]: any;
+}) & {
+    new (...args: any[]): {
+        [x: string]: any;
+    };
+    plugins: any[];
+} & typeof Octokit & import("@octokit/core/dist-types/types").Constructor<import("@octokit/plugin-rest-endpoint-methods/dist-types/generated/method-types").RestEndpointMethods & {
+    paginate: import("@octokit/plugin-paginate-rest").PaginateInterface;
+}>;
+/**
+ * Convience function to correctly format Octokit Options to pass into the constructor.
+ *
+ * @param     token    the repo PAT or GITHUB_TOKEN
+ * @param     options  other options to set
+ */
+export declare function getOctokitOptions(token: string, options?: OctokitOptions): OctokitOptions;
diff --git a/node_modules/@actions/github/lib/utils.js b/node_modules/@actions/github/lib/utils.js
new file mode 100644
index 000000000..b066c225c
--- /dev/null
+++ b/node_modules/@actions/github/lib/utils.js
@@ -0,0 +1,54 @@
+"use strict";
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    Object.defineProperty(o, k2, { enumerable: true, get: function() { return m[k]; } });
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
+    Object.defineProperty(o, "default", { enumerable: true, value: v });
+}) : function(o, v) {
+    o["default"] = v;
+});
+var __importStar = (this && this.__importStar) || function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null) for (var k in mod) if (Object.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.getOctokitOptions = exports.GitHub = exports.context = void 0;
+const Context = __importStar(require("./context"));
+const Utils = __importStar(require("./internal/utils"));
+// octokit + plugins
+const core_1 = require("@octokit/core");
+const plugin_rest_endpoint_methods_1 = require("@octokit/plugin-rest-endpoint-methods");
+const plugin_paginate_rest_1 = require("@octokit/plugin-paginate-rest");
+exports.context = new Context.Context();
+const baseUrl = Utils.getApiBaseUrl();
+const defaults = {
+    baseUrl,
+    request: {
+        agent: Utils.getProxyAgent(baseUrl)
+    }
+};
+exports.GitHub = core_1.Octokit.plugin(plugin_rest_endpoint_methods_1.restEndpointMethods, plugin_paginate_rest_1.paginateRest).defaults(defaults);
+/**
+ * Convience function to correctly format Octokit Options to pass into the constructor.
+ *
+ * @param     token    the repo PAT or GITHUB_TOKEN
+ * @param     options  other options to set
+ */
+function getOctokitOptions(token, options) {
+    const opts = Object.assign({}, options || {}); // Shallow clone - don't mutate the object provided by the caller
+    // Auth
+    const auth = Utils.getAuthString(token, opts);
+    if (auth) {
+        opts.auth = auth;
+    }
+    return opts;
+}
+exports.getOctokitOptions = getOctokitOptions;
+//# sourceMappingURL=utils.js.map
\ No newline at end of file
diff --git a/node_modules/@actions/github/lib/utils.js.map b/node_modules/@actions/github/lib/utils.js.map
new file mode 100644
index 000000000..3a6f6b427
--- /dev/null
+++ b/node_modules/@actions/github/lib/utils.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"utils.js","sourceRoot":"","sources":["../src/utils.ts"],"names":[],"mappings":";;;;;;;;;;;;;;;;;;;;;;AAAA,mDAAoC;AACpC,wDAAyC;AAEzC,oBAAoB;AACpB,wCAAqC;AAErC,wFAAyE;AACzE,wEAA0D;AAE7C,QAAA,OAAO,GAAG,IAAI,OAAO,CAAC,OAAO,EAAE,CAAA;AAE5C,MAAM,OAAO,GAAG,KAAK,CAAC,aAAa,EAAE,CAAA;AACrC,MAAM,QAAQ,GAAG;IACf,OAAO;IACP,OAAO,EAAE;QACP,KAAK,EAAE,KAAK,CAAC,aAAa,CAAC,OAAO,CAAC;KACpC;CACF,CAAA;AAEY,QAAA,MAAM,GAAG,cAAO,CAAC,MAAM,CAClC,kDAAmB,EACnB,mCAAY,CACb,CAAC,QAAQ,CAAC,QAAQ,CAAC,CAAA;AAEpB;;;;;GAKG;AACH,SAAgB,iBAAiB,CAC/B,KAAa,EACb,OAAwB;IAExB,MAAM,IAAI,GAAG,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,OAAO,IAAI,EAAE,CAAC,CAAA,CAAC,iEAAiE;IAE/G,OAAO;IACP,MAAM,IAAI,GAAG,KAAK,CAAC,aAAa,CAAC,KAAK,EAAE,IAAI,CAAC,CAAA;IAC7C,IAAI,IAAI,EAAE;QACR,IAAI,CAAC,IAAI,GAAG,IAAI,CAAA;KACjB;IAED,OAAO,IAAI,CAAA;AACb,CAAC;AAbD,8CAaC"}
\ No newline at end of file
diff --git a/node_modules/@actions/github/package.json b/node_modules/@actions/github/package.json
index f17de2d34..8cf79e307 100644
--- a/node_modules/@actions/github/package.json
+++ b/node_modules/@actions/github/package.json
@@ -1,44 +1,43 @@
 {
-  "_args": [
-    [
-      "@actions/github@2.1.1",
-      "/home/runner/work/readable-readme/readable-readme"
-    ]
-  ],
-  "_from": "@actions/github@2.1.1",
-  "_id": "@actions/github@2.1.1",
+  "_from": "@actions/github@^4.0.0",
+  "_id": "@actions/github@4.0.0",
   "_inBundle": false,
-  "_integrity": "sha512-kAgTGUx7yf5KQCndVeHSwCNZuDBvPyxm5xKTswW2lofugeuC1AZX73nUUVDNaysnM9aKFMHv9YCdVJbg7syEyA==",
+  "_integrity": "sha512-Ej/Y2E+VV6sR9X7pWL5F3VgEWrABaT292DRqRU6R4hnQjPtC/zD3nagxVdXWiRQvYDh8kHXo7IDmG42eJ/dOMA==",
   "_location": "/@actions/github",
   "_phantomChildren": {},
   "_requested": {
-    "type": "version",
+    "type": "range",
     "registry": true,
-    "raw": "@actions/github@2.1.1",
+    "raw": "@actions/github@^4.0.0",
     "name": "@actions/github",
     "escapedName": "@actions%2fgithub",
     "scope": "@actions",
-    "rawSpec": "2.1.1",
+    "rawSpec": "^4.0.0",
     "saveSpec": null,
-    "fetchSpec": "2.1.1"
+    "fetchSpec": "^4.0.0"
   },
   "_requiredBy": [
+    "#USER",
     "/"
   ],
-  "_resolved": "https://registry.npmjs.org/@actions/github/-/github-2.1.1.tgz",
-  "_spec": "2.1.1",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@actions/github/-/github-4.0.0.tgz",
+  "_shasum": "d520483151a2bf5d2dc9cd0f20f9ac3a2e458816",
+  "_spec": "@actions/github@^4.0.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/actions/toolkit/issues"
   },
+  "bundleDependencies": false,
   "dependencies": {
-    "@actions/http-client": "^1.0.3",
-    "@octokit/graphql": "^4.3.1",
-    "@octokit/rest": "^16.43.1"
+    "@actions/http-client": "^1.0.8",
+    "@octokit/core": "^3.0.0",
+    "@octokit/plugin-paginate-rest": "^2.2.3",
+    "@octokit/plugin-rest-endpoint-methods": "^4.0.0"
   },
+  "deprecated": false,
   "description": "Actions github lib",
   "devDependencies": {
-    "jest": "^24.7.1",
+    "jest": "^25.1.0",
     "proxy": "^1.0.1"
   },
   "directories": {
@@ -46,7 +45,8 @@
     "test": "__tests__"
   },
   "files": [
-    "lib"
+    "lib",
+    "!.DS_Store"
   ],
   "homepage": "https://github.com/actions/toolkit/tree/master/packages/github",
   "keywords": [
@@ -73,5 +73,5 @@
     "tsc": "tsc"
   },
   "types": "lib/github.d.ts",
-  "version": "2.1.1"
+  "version": "4.0.0"
 }
diff --git a/node_modules/@actions/http-client/RELEASES.md b/node_modules/@actions/http-client/RELEASES.md
index c8040ed3d..79f9a5819 100644
--- a/node_modules/@actions/http-client/RELEASES.md
+++ b/node_modules/@actions/http-client/RELEASES.md
@@ -1,5 +1,8 @@
 ## Releases
 
+## 1.0.7
+Update NPM dependencies and add 429 to the list of HttpCodes
+
 ## 1.0.6
 Automatically sends Content-Type and Accept application/json headers for \<verb>Json() helper methods if not set in the client or parameters.
 
diff --git a/node_modules/@actions/http-client/auth.js b/node_modules/@actions/http-client/auth.js
index 98d22d66d..67a58aa78 100644
--- a/node_modules/@actions/http-client/auth.js
+++ b/node_modules/@actions/http-client/auth.js
@@ -6,7 +6,9 @@ class BasicCredentialHandler {
         this.password = password;
     }
     prepareRequest(options) {
-        options.headers['Authorization'] = 'Basic ' + Buffer.from(this.username + ':' + this.password).toString('base64');
+        options.headers['Authorization'] =
+            'Basic ' +
+                Buffer.from(this.username + ':' + this.password).toString('base64');
     }
     // This handler cannot handle 401
     canHandleAuthentication(response) {
@@ -42,7 +44,8 @@ class PersonalAccessTokenCredentialHandler {
     // currently implements pre-authorization
     // TODO: support preAuth = false where it hooks on 401
     prepareRequest(options) {
-        options.headers['Authorization'] = 'Basic ' + Buffer.from('PAT:' + this.token).toString('base64');
+        options.headers['Authorization'] =
+            'Basic ' + Buffer.from('PAT:' + this.token).toString('base64');
     }
     // This handler cannot handle 401
     canHandleAuthentication(response) {
diff --git a/node_modules/@actions/http-client/index.d.ts b/node_modules/@actions/http-client/index.d.ts
index 2bbcc6a1e..7cdc11554 100644
--- a/node_modules/@actions/http-client/index.d.ts
+++ b/node_modules/@actions/http-client/index.d.ts
@@ -1,5 +1,5 @@
 /// <reference types="node" />
-import http = require("http");
+import http = require('http');
 import ifm = require('./interfaces');
 export declare enum HttpCodes {
     OK = 200,
@@ -23,6 +23,7 @@ export declare enum HttpCodes {
     RequestTimeout = 408,
     Conflict = 409,
     Gone = 410,
+    TooManyRequests = 429,
     InternalServerError = 500,
     NotImplemented = 501,
     BadGateway = 502,
diff --git a/node_modules/@actions/http-client/index.js b/node_modules/@actions/http-client/index.js
index 7e553a6f3..e1930da87 100644
--- a/node_modules/@actions/http-client/index.js
+++ b/node_modules/@actions/http-client/index.js
@@ -28,6 +28,7 @@ var HttpCodes;
     HttpCodes[HttpCodes["RequestTimeout"] = 408] = "RequestTimeout";
     HttpCodes[HttpCodes["Conflict"] = 409] = "Conflict";
     HttpCodes[HttpCodes["Gone"] = 410] = "Gone";
+    HttpCodes[HttpCodes["TooManyRequests"] = 429] = "TooManyRequests";
     HttpCodes[HttpCodes["InternalServerError"] = 500] = "InternalServerError";
     HttpCodes[HttpCodes["NotImplemented"] = 501] = "NotImplemented";
     HttpCodes[HttpCodes["BadGateway"] = 502] = "BadGateway";
@@ -52,8 +53,18 @@ function getProxyUrl(serverUrl) {
     return proxyUrl ? proxyUrl.href : '';
 }
 exports.getProxyUrl = getProxyUrl;
-const HttpRedirectCodes = [HttpCodes.MovedPermanently, HttpCodes.ResourceMoved, HttpCodes.SeeOther, HttpCodes.TemporaryRedirect, HttpCodes.PermanentRedirect];
-const HttpResponseRetryCodes = [HttpCodes.BadGateway, HttpCodes.ServiceUnavailable, HttpCodes.GatewayTimeout];
+const HttpRedirectCodes = [
+    HttpCodes.MovedPermanently,
+    HttpCodes.ResourceMoved,
+    HttpCodes.SeeOther,
+    HttpCodes.TemporaryRedirect,
+    HttpCodes.PermanentRedirect
+];
+const HttpResponseRetryCodes = [
+    HttpCodes.BadGateway,
+    HttpCodes.ServiceUnavailable,
+    HttpCodes.GatewayTimeout
+];
 const RetryableHttpVerbs = ['OPTIONS', 'GET', 'DELETE', 'HEAD'];
 const ExponentialBackoffCeiling = 10;
 const ExponentialBackoffTimeSlice = 5;
@@ -178,18 +189,22 @@ class HttpClient {
      */
     async request(verb, requestUrl, data, headers) {
         if (this._disposed) {
-            throw new Error("Client has already been disposed.");
+            throw new Error('Client has already been disposed.');
         }
         let parsedUrl = url.parse(requestUrl);
         let info = this._prepareRequest(verb, parsedUrl, headers);
         // Only perform retries on reads since writes may not be idempotent.
-        let maxTries = (this._allowRetries && RetryableHttpVerbs.indexOf(verb) != -1) ? this._maxRetries + 1 : 1;
+        let maxTries = this._allowRetries && RetryableHttpVerbs.indexOf(verb) != -1
+            ? this._maxRetries + 1
+            : 1;
         let numTries = 0;
         let response;
         while (numTries < maxTries) {
             response = await this.requestRaw(info, data);
             // Check if it's an authentication challenge
-            if (response && response.message && response.message.statusCode === HttpCodes.Unauthorized) {
+            if (response &&
+                response.message &&
+                response.message.statusCode === HttpCodes.Unauthorized) {
                 let authenticationHandler;
                 for (let i = 0; i < this.handlers.length; i++) {
                     if (this.handlers[i].canHandleAuthentication(response)) {
@@ -207,21 +222,32 @@ class HttpClient {
                 }
             }
             let redirectsRemaining = this._maxRedirects;
-            while (HttpRedirectCodes.indexOf(response.message.statusCode) != -1
-                && this._allowRedirects
-                && redirectsRemaining > 0) {
-                const redirectUrl = response.message.headers["location"];
+            while (HttpRedirectCodes.indexOf(response.message.statusCode) != -1 &&
+                this._allowRedirects &&
+                redirectsRemaining > 0) {
+                const redirectUrl = response.message.headers['location'];
                 if (!redirectUrl) {
                     // if there's no location to redirect to, we won't
                     break;
                 }
                 let parsedRedirectUrl = url.parse(redirectUrl);
-                if (parsedUrl.protocol == 'https:' && parsedUrl.protocol != parsedRedirectUrl.protocol && !this._allowRedirectDowngrade) {
-                    throw new Error("Redirect from HTTPS to HTTP protocol. This downgrade is not allowed for security reasons. If you want to allow this behavior, set the allowRedirectDowngrade option to true.");
+                if (parsedUrl.protocol == 'https:' &&
+                    parsedUrl.protocol != parsedRedirectUrl.protocol &&
+                    !this._allowRedirectDowngrade) {
+                    throw new Error('Redirect from HTTPS to HTTP protocol. This downgrade is not allowed for security reasons. If you want to allow this behavior, set the allowRedirectDowngrade option to true.');
                 }
                 // we need to finish reading the response before reassigning response
                 // which will leak the open socket.
                 await response.readBody();
+                // strip authorization header if redirected to a different hostname
+                if (parsedRedirectUrl.hostname !== parsedUrl.hostname) {
+                    for (let header in headers) {
+                        // header names are case insensitive
+                        if (header.toLowerCase() === 'authorization') {
+                            delete headers[header];
+                        }
+                    }
+                }
                 // let's make the request with the new redirectUrl
                 info = this._prepareRequest(verb, parsedRedirectUrl, headers);
                 response = await this.requestRaw(info, data);
@@ -272,8 +298,8 @@ class HttpClient {
      */
     requestRawWithCallback(info, data, onResult) {
         let socket;
-        if (typeof (data) === 'string') {
-            info.options.headers["Content-Length"] = Buffer.byteLength(data, 'utf8');
+        if (typeof data === 'string') {
+            info.options.headers['Content-Length'] = Buffer.byteLength(data, 'utf8');
         }
         let callbackCalled = false;
         let handleResult = (err, res) => {
@@ -286,7 +312,7 @@ class HttpClient {
             let res = new HttpClientResponse(msg);
             handleResult(null, res);
         });
-        req.on('socket', (sock) => {
+        req.on('socket', sock => {
             socket = sock;
         });
         // If we ever get disconnected, we want the socket to timeout eventually
@@ -301,10 +327,10 @@ class HttpClient {
             // res should have headers
             handleResult(err, null);
         });
-        if (data && typeof (data) === 'string') {
+        if (data && typeof data === 'string') {
             req.write(data, 'utf8');
         }
-        if (data && typeof (data) !== 'string') {
+        if (data && typeof data !== 'string') {
             data.on('close', function () {
                 req.end();
             });
@@ -331,31 +357,34 @@ class HttpClient {
         const defaultPort = usingSsl ? 443 : 80;
         info.options = {};
         info.options.host = info.parsedUrl.hostname;
-        info.options.port = info.parsedUrl.port ? parseInt(info.parsedUrl.port) : defaultPort;
-        info.options.path = (info.parsedUrl.pathname || '') + (info.parsedUrl.search || '');
+        info.options.port = info.parsedUrl.port
+            ? parseInt(info.parsedUrl.port)
+            : defaultPort;
+        info.options.path =
+            (info.parsedUrl.pathname || '') + (info.parsedUrl.search || '');
         info.options.method = method;
         info.options.headers = this._mergeHeaders(headers);
         if (this.userAgent != null) {
-            info.options.headers["user-agent"] = this.userAgent;
+            info.options.headers['user-agent'] = this.userAgent;
         }
         info.options.agent = this._getAgent(info.parsedUrl);
         // gives handlers an opportunity to participate
         if (this.handlers) {
-            this.handlers.forEach((handler) => {
+            this.handlers.forEach(handler => {
                 handler.prepareRequest(info.options);
             });
         }
         return info;
     }
     _mergeHeaders(headers) {
-        const lowercaseKeys = obj => Object.keys(obj).reduce((c, k) => (c[k.toLowerCase()] = obj[k], c), {});
+        const lowercaseKeys = obj => Object.keys(obj).reduce((c, k) => ((c[k.toLowerCase()] = obj[k]), c), {});
         if (this.requestOptions && this.requestOptions.headers) {
             return Object.assign({}, lowercaseKeys(this.requestOptions.headers), lowercaseKeys(headers));
         }
         return lowercaseKeys(headers || {});
     }
     _getExistingOrDefaultHeader(additionalHeaders, header, _default) {
-        const lowercaseKeys = obj => Object.keys(obj).reduce((c, k) => (c[k.toLowerCase()] = obj[k], c), {});
+        const lowercaseKeys = obj => Object.keys(obj).reduce((c, k) => ((c[k.toLowerCase()] = obj[k]), c), {});
         let clientHeader;
         if (this.requestOptions && this.requestOptions.headers) {
             clientHeader = lowercaseKeys(this.requestOptions.headers)[header];
@@ -393,7 +422,7 @@ class HttpClient {
                     proxyAuth: proxyUrl.auth,
                     host: proxyUrl.hostname,
                     port: proxyUrl.port
-                },
+                }
             };
             let tunnelAgent;
             const overHttps = proxyUrl.protocol === 'https:';
@@ -420,7 +449,9 @@ class HttpClient {
             // we don't want to set NODE_TLS_REJECT_UNAUTHORIZED=0 since that will affect request for entire process
             // http.RequestOptions doesn't expose a way to modify RequestOptions.agent.options
             // we have to cast it to any and change it directly
-            agent.options = Object.assign(agent.options || {}, { rejectUnauthorized: false });
+            agent.options = Object.assign(agent.options || {}, {
+                rejectUnauthorized: false
+            });
         }
         return agent;
     }
@@ -481,7 +512,7 @@ class HttpClient {
                     msg = contents;
                 }
                 else {
-                    msg = "Failed request: (" + statusCode + ")";
+                    msg = 'Failed request: (' + statusCode + ')';
                 }
                 let err = new Error(msg);
                 // attach statusCode and body obj (if available) to the error object
diff --git a/node_modules/@actions/http-client/interfaces.d.ts b/node_modules/@actions/http-client/interfaces.d.ts
index 7e3fc3f06..0b348dc01 100644
--- a/node_modules/@actions/http-client/interfaces.d.ts
+++ b/node_modules/@actions/http-client/interfaces.d.ts
@@ -1,6 +1,6 @@
 /// <reference types="node" />
-import http = require("http");
-import url = require("url");
+import http = require('http');
+import url = require('url');
 export interface IHeaders {
     [key: string]: any;
 }
diff --git a/node_modules/@actions/http-client/interfaces.js b/node_modules/@actions/http-client/interfaces.js
index 04363ad2b..c8ad2e549 100644
--- a/node_modules/@actions/http-client/interfaces.js
+++ b/node_modules/@actions/http-client/interfaces.js
@@ -1,3 +1,2 @@
 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-;
diff --git a/node_modules/@actions/http-client/package.json b/node_modules/@actions/http-client/package.json
index 372b9aae2..1880c0379 100644
--- a/node_modules/@actions/http-client/package.json
+++ b/node_modules/@actions/http-client/package.json
@@ -1,33 +1,33 @@
 {
   "_args": [
     [
-      "@actions/http-client@1.0.6",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@actions/http-client@1.0.8",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@actions/http-client@1.0.6",
-  "_id": "@actions/http-client@1.0.6",
+  "_from": "@actions/http-client@1.0.8",
+  "_id": "@actions/http-client@1.0.8",
   "_inBundle": false,
-  "_integrity": "sha512-LGmio4w98UyGX33b/W6V6Nx/sQHRXZ859YlMkn36wPsXPB82u8xTVlA/Dq2DXrm6lEq9RVmisRJa1c+HETAIJA==",
+  "_integrity": "sha512-G4JjJ6f9Hb3Zvejj+ewLLKLf99ZC+9v+yCxoYf9vSyH+WkzPLB2LuUtRMGNkooMqdugGBFStIKXOuvH1W+EctA==",
   "_location": "/@actions/http-client",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@actions/http-client@1.0.6",
+    "raw": "@actions/http-client@1.0.8",
     "name": "@actions/http-client",
     "escapedName": "@actions%2fhttp-client",
     "scope": "@actions",
-    "rawSpec": "1.0.6",
+    "rawSpec": "1.0.8",
     "saveSpec": null,
-    "fetchSpec": "1.0.6"
+    "fetchSpec": "1.0.8"
   },
   "_requiredBy": [
     "/@actions/github"
   ],
-  "_resolved": "https://registry.npmjs.org/@actions/http-client/-/http-client-1.0.6.tgz",
-  "_spec": "1.0.6",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@actions/http-client/-/http-client-1.0.8.tgz",
+  "_spec": "1.0.8",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "GitHub, Inc."
   },
@@ -39,12 +39,13 @@
   },
   "description": "Actions Http Client",
   "devDependencies": {
-    "@types/jest": "^24.0.25",
-    "@types/node": "^12.12.24",
-    "jest": "^24.9.0",
+    "@types/jest": "^25.1.4",
+    "@types/node": "^12.12.31",
+    "jest": "^25.1.0",
+    "prettier": "^2.0.4",
     "proxy": "^1.0.1",
-    "ts-jest": "^24.3.0",
-    "typescript": "^3.7.4"
+    "ts-jest": "^25.2.1",
+    "typescript": "^3.8.3"
   },
   "homepage": "https://github.com/actions/http-client#readme",
   "keywords": [
@@ -59,8 +60,11 @@
     "url": "git+https://github.com/actions/http-client.git"
   },
   "scripts": {
+    "audit-check": "npm audit --audit-level=moderate",
     "build": "rm -Rf ./_out && tsc && cp package*.json ./_out && cp *.md ./_out && cp LICENSE ./_out && cp actions.png ./_out",
+    "format": "prettier --write *.ts && prettier --write **/*.ts",
+    "format-check": "prettier --check *.ts && prettier --check **/*.ts",
     "test": "jest"
   },
-  "version": "1.0.6"
+  "version": "1.0.8"
 }
diff --git a/node_modules/@actions/http-client/proxy.js b/node_modules/@actions/http-client/proxy.js
index 7233779e4..06936b392 100644
--- a/node_modules/@actions/http-client/proxy.js
+++ b/node_modules/@actions/http-client/proxy.js
@@ -9,12 +9,10 @@ function getProxyUrl(reqUrl) {
     }
     let proxyVar;
     if (usingSsl) {
-        proxyVar = process.env["https_proxy"] ||
-            process.env["HTTPS_PROXY"];
+        proxyVar = process.env['https_proxy'] || process.env['HTTPS_PROXY'];
     }
     else {
-        proxyVar = process.env["http_proxy"] ||
-            process.env["HTTP_PROXY"];
+        proxyVar = process.env['http_proxy'] || process.env['HTTP_PROXY'];
     }
     if (proxyVar) {
         proxyUrl = url.parse(proxyVar);
@@ -26,7 +24,7 @@ function checkBypass(reqUrl) {
     if (!reqUrl.hostname) {
         return false;
     }
-    let noProxy = process.env["no_proxy"] || process.env["NO_PROXY"] || '';
+    let noProxy = process.env['no_proxy'] || process.env['NO_PROXY'] || '';
     if (!noProxy) {
         return false;
     }
@@ -47,7 +45,10 @@ function checkBypass(reqUrl) {
         upperReqHosts.push(`${upperReqHosts[0]}:${reqPort}`);
     }
     // Compare request host against noproxy
-    for (let upperNoProxyItem of noProxy.split(',').map(x => x.trim().toUpperCase()).filter(x => x)) {
+    for (let upperNoProxyItem of noProxy
+        .split(',')
+        .map(x => x.trim().toUpperCase())
+        .filter(x => x)) {
         if (upperReqHosts.some(x => x === upperNoProxyItem)) {
             return true;
         }
diff --git a/node_modules/@babel/code-frame/package.json b/node_modules/@babel/code-frame/package.json
index 2303a1222..425ee4432 100644
--- a/node_modules/@babel/code-frame/package.json
+++ b/node_modules/@babel/code-frame/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/code-frame@7.5.5",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,13 +27,19 @@
     "/@babel/core",
     "/@babel/template",
     "/@babel/traverse",
+    "/@jest/test-sequencer/jest-message-util",
     "/jest-circus/jest-message-util",
+    "/jest-config/jest-message-util",
+    "/jest-jasmine2/jest-message-util",
     "/jest-message-util",
+    "/jest-runner/jest-message-util",
+    "/jest-runtime/jest-message-util",
+    "/parse-json",
     "/tslint"
   ],
   "_resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.5.5.tgz",
   "_spec": "7.5.5",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sebastian McKenzie",
     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/core/node_modules/debug/package.json b/node_modules/@babel/core/node_modules/debug/package.json
index de0c4058c..44eb4703c 100644
--- a/node_modules/@babel/core/node_modules/debug/package.json
+++ b/node_modules/@babel/core/node_modules/debug/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "debug@4.1.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/debug/-/debug-4.1.1.tgz",
   "_spec": "4.1.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "TJ Holowaychuk",
     "email": "tj@vision-media.ca"
diff --git a/node_modules/@babel/core/node_modules/ms/package.json b/node_modules/@babel/core/node_modules/ms/package.json
index b09fefd66..9a671ba06 100644
--- a/node_modules/@babel/core/node_modules/ms/package.json
+++ b/node_modules/@babel/core/node_modules/ms/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ms@2.1.2",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz",
   "_spec": "2.1.2",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/zeit/ms/issues"
   },
diff --git a/node_modules/@babel/core/node_modules/semver/package.json b/node_modules/@babel/core/node_modules/semver/package.json
index e05349638..eb1f32a3b 100644
--- a/node_modules/@babel/core/node_modules/semver/package.json
+++ b/node_modules/@babel/core/node_modules/semver/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "semver@5.7.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,9 +27,9 @@
   ],
   "_resolved": "https://registry.npmjs.org/semver/-/semver-5.7.0.tgz",
   "_spec": "5.7.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bin": {
-    "semver": "./bin/semver"
+    "semver": "bin/semver"
   },
   "bugs": {
     "url": "https://github.com/npm/node-semver/issues"
diff --git a/node_modules/@babel/core/node_modules/source-map/package.json b/node_modules/@babel/core/node_modules/source-map/package.json
index 6141fcae5..e862ad389 100644
--- a/node_modules/@babel/core/node_modules/source-map/package.json
+++ b/node_modules/@babel/core/node_modules/source-map/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "source-map@0.5.7",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
   "_spec": "0.5.7",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Nick Fitzgerald",
     "email": "nfitzgerald@mozilla.com"
diff --git a/node_modules/@babel/core/package.json b/node_modules/@babel/core/package.json
index 53f4647cb..5966b6591 100644
--- a/node_modules/@babel/core/package.json
+++ b/node_modules/@babel/core/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/core@7.5.5",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -24,13 +24,16 @@
     "fetchSpec": "7.5.5"
   },
   "_requiredBy": [
+    "/@jest/core/jest-config",
     "/@jest/transform",
-    "/jest-circus/@jest/transform",
-    "/jest-config"
+    "/jest-config",
+    "/jest-config/@jest/transform",
+    "/jest-runtime/@jest/transform",
+    "/jest/jest-config"
   ],
   "_resolved": "https://registry.npmjs.org/@babel/core/-/core-7.5.5.tgz",
   "_spec": "7.5.5",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sebastian McKenzie",
     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/generator/node_modules/source-map/package.json b/node_modules/@babel/generator/node_modules/source-map/package.json
index 1ba9ffe7d..fa4c1550e 100644
--- a/node_modules/@babel/generator/node_modules/source-map/package.json
+++ b/node_modules/@babel/generator/node_modules/source-map/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "source-map@0.5.7",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/source-map/-/source-map-0.5.7.tgz",
   "_spec": "0.5.7",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Nick Fitzgerald",
     "email": "nfitzgerald@mozilla.com"
diff --git a/node_modules/@babel/generator/package.json b/node_modules/@babel/generator/package.json
index 107e6cced..914de4e9a 100644
--- a/node_modules/@babel/generator/package.json
+++ b/node_modules/@babel/generator/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/generator@7.5.5",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -29,7 +29,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.5.5.tgz",
   "_spec": "7.5.5",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sebastian McKenzie",
     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/helper-function-name/package.json b/node_modules/@babel/helper-function-name/package.json
index 63f228c55..387bae378 100644
--- a/node_modules/@babel/helper-function-name/package.json
+++ b/node_modules/@babel/helper-function-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/helper-function-name@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "dependencies": {
     "@babel/helper-get-function-arity": "^7.0.0",
     "@babel/template": "^7.1.0",
diff --git a/node_modules/@babel/helper-get-function-arity/package.json b/node_modules/@babel/helper-get-function-arity/package.json
index 54311d87e..7bb23ea7b 100644
--- a/node_modules/@babel/helper-get-function-arity/package.json
+++ b/node_modules/@babel/helper-get-function-arity/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/helper-get-function-arity@7.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/helper-get-function-arity/-/helper-get-function-arity-7.0.0.tgz",
   "_spec": "7.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "dependencies": {
     "@babel/types": "^7.0.0"
   },
diff --git a/node_modules/@babel/helper-member-expression-to-functions/node_modules/@babel/types/package.json b/node_modules/@babel/helper-member-expression-to-functions/node_modules/@babel/types/package.json
index 0d770aa0b..7067c01e6 100644
--- a/node_modules/@babel/helper-member-expression-to-functions/node_modules/@babel/types/package.json
+++ b/node_modules/@babel/helper-member-expression-to-functions/node_modules/@babel/types/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/types@7.9.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/types/-/types-7.9.0.tgz",
   "_spec": "7.9.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sebastian McKenzie",
     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/helper-member-expression-to-functions/package.json b/node_modules/@babel/helper-member-expression-to-functions/package.json
index 3db2dd708..293285eb6 100644
--- a/node_modules/@babel/helper-member-expression-to-functions/package.json
+++ b/node_modules/@babel/helper-member-expression-to-functions/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/helper-member-expression-to-functions@7.8.3",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -13,7 +13,7 @@
   "_location": "/@babel/helper-member-expression-to-functions",
   "_phantomChildren": {
     "@babel/helper-validator-identifier": "7.9.0",
-    "lodash": "4.17.15",
+    "lodash": "4.17.19",
     "to-fast-properties": "2.0.0"
   },
   "_requested": {
@@ -32,7 +32,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/helper-member-expression-to-functions/-/helper-member-expression-to-functions-7.8.3.tgz",
   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Justin Ridgewell",
     "email": "justin@ridgewell.name"
diff --git a/node_modules/@babel/helper-module-imports/node_modules/@babel/types/package.json b/node_modules/@babel/helper-module-imports/node_modules/@babel/types/package.json
index 36a09ec31..3ea622ab6 100644
--- a/node_modules/@babel/helper-module-imports/node_modules/@babel/types/package.json
+++ b/node_modules/@babel/helper-module-imports/node_modules/@babel/types/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/types@7.9.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/types/-/types-7.9.0.tgz",
   "_spec": "7.9.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sebastian McKenzie",
     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/helper-module-imports/package.json b/node_modules/@babel/helper-module-imports/package.json
index 0f5d6db4f..6568dd2ff 100644
--- a/node_modules/@babel/helper-module-imports/package.json
+++ b/node_modules/@babel/helper-module-imports/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/helper-module-imports@7.8.3",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -13,7 +13,7 @@
   "_location": "/@babel/helper-module-imports",
   "_phantomChildren": {
     "@babel/helper-validator-identifier": "7.9.0",
-    "lodash": "4.17.15",
+    "lodash": "4.17.19",
     "to-fast-properties": "2.0.0"
   },
   "_requested": {
@@ -32,7 +32,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.8.3.tgz",
   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Logan Smyth",
     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/helper-module-transforms/node_modules/@babel/code-frame/package.json b/node_modules/@babel/helper-module-transforms/node_modules/@babel/code-frame/package.json
index 1a18f9111..f7286ba91 100644
--- a/node_modules/@babel/helper-module-transforms/node_modules/@babel/code-frame/package.json
+++ b/node_modules/@babel/helper-module-transforms/node_modules/@babel/code-frame/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/code-frame@7.8.3",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.8.3.tgz",
   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sebastian McKenzie",
     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/helper-module-transforms/node_modules/@babel/helper-split-export-declaration/package.json b/node_modules/@babel/helper-module-transforms/node_modules/@babel/helper-split-export-declaration/package.json
index 856f5eec8..a835fe4fe 100644
--- a/node_modules/@babel/helper-module-transforms/node_modules/@babel/helper-split-export-declaration/package.json
+++ b/node_modules/@babel/helper-module-transforms/node_modules/@babel/helper-split-export-declaration/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/helper-split-export-declaration@7.8.3",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.8.3.tgz",
   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "dependencies": {
     "@babel/types": "^7.8.3"
   },
diff --git a/node_modules/@babel/helper-module-transforms/node_modules/@babel/highlight/package.json b/node_modules/@babel/helper-module-transforms/node_modules/@babel/highlight/package.json
index 2da9fa89a..7640887b0 100644
--- a/node_modules/@babel/helper-module-transforms/node_modules/@babel/highlight/package.json
+++ b/node_modules/@babel/helper-module-transforms/node_modules/@babel/highlight/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/highlight@7.9.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.9.0.tgz",
   "_spec": "7.9.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "suchipi",
     "email": "me@suchipi.com"
diff --git a/node_modules/@babel/helper-module-transforms/node_modules/@babel/parser/package.json b/node_modules/@babel/helper-module-transforms/node_modules/@babel/parser/package.json
index 4d3c12ba6..51531ca76 100644
--- a/node_modules/@babel/helper-module-transforms/node_modules/@babel/parser/package.json
+++ b/node_modules/@babel/helper-module-transforms/node_modules/@babel/parser/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@babel/parser@7.9.4",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
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diff --git a/node_modules/@babel/helper-module-transforms/node_modules/@babel/template/package.json b/node_modules/@babel/helper-module-transforms/node_modules/@babel/template/package.json
index a4b748b27..7e40ca4ac 100644
--- a/node_modules/@babel/helper-module-transforms/node_modules/@babel/template/package.json
+++ b/node_modules/@babel/helper-module-transforms/node_modules/@babel/template/package.json
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+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/helper-module-transforms/node_modules/@babel/types/package.json b/node_modules/@babel/helper-module-transforms/node_modules/@babel/types/package.json
index 4cb97bd13..ffcda84a3 100644
--- a/node_modules/@babel/helper-module-transforms/node_modules/@babel/types/package.json
+++ b/node_modules/@babel/helper-module-transforms/node_modules/@babel/types/package.json
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+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/helper-module-transforms/package.json b/node_modules/@babel/helper-module-transforms/package.json
index 4aa76af9a..7515765fc 100644
--- a/node_modules/@babel/helper-module-transforms/package.json
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@@ -2,7 +2,7 @@
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diff --git a/node_modules/@babel/helper-optimise-call-expression/node_modules/@babel/types/package.json b/node_modules/@babel/helper-optimise-call-expression/node_modules/@babel/types/package.json
index e85d46bfb..0789cf604 100644
--- a/node_modules/@babel/helper-optimise-call-expression/node_modules/@babel/types/package.json
+++ b/node_modules/@babel/helper-optimise-call-expression/node_modules/@babel/types/package.json
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diff --git a/node_modules/@babel/helper-optimise-call-expression/package.json b/node_modules/@babel/helper-optimise-call-expression/package.json
index c1142ceaa..5e81ca487 100644
--- a/node_modules/@babel/helper-optimise-call-expression/package.json
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+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/helper-plugin-utils/package.json
index c5c8ecec3..88e64124d 100644
--- a/node_modules/@babel/helper-plugin-utils/package.json
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-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/code-frame/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/code-frame/package.json
index 59ab39f94..5faf5dd08 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/code-frame/package.json
+++ b/node_modules/@babel/helper-replace-supers/node_modules/@babel/code-frame/package.json
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/generator/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/generator/package.json
index 0fa6c82de..ee946478f 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/generator/package.json
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/helper-function-name/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/helper-function-name/package.json
index 41b938f03..1c2911284 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/helper-function-name/package.json
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/helper-get-function-arity/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/helper-get-function-arity/package.json
index 0963a46a7..9b7d37c45 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/helper-get-function-arity/package.json
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index 685d01b86..7f63a7aec 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/helper-split-export-declaration/package.json
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/highlight/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/highlight/package.json
index a67cb43e1..2d7a5693e 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/highlight/package.json
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/parser/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/parser/package.json
index effffbd6d..14f62f5fa 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/parser/package.json
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/template/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/template/package.json
index 340c5128e..326a8d2c7 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/template/package.json
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/traverse/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/traverse/package.json
index e5c322352..6a9e1fddd 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/traverse/package.json
+++ b/node_modules/@babel/helper-replace-supers/node_modules/@babel/traverse/package.json
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/@babel/types/package.json b/node_modules/@babel/helper-replace-supers/node_modules/@babel/types/package.json
index 02771cc07..fd9f85f1c 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/@babel/types/package.json
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@@ -2,7 +2,7 @@
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/debug/package.json b/node_modules/@babel/helper-replace-supers/node_modules/debug/package.json
index d4cf12872..470e1883e 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/debug/package.json
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@@ -2,7 +2,7 @@
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/ms/package.json b/node_modules/@babel/helper-replace-supers/node_modules/ms/package.json
index 249ff5299..c9790248d 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/ms/package.json
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@@ -2,7 +2,7 @@
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diff --git a/node_modules/@babel/helper-replace-supers/node_modules/source-map/package.json b/node_modules/@babel/helper-replace-supers/node_modules/source-map/package.json
index 7830cd79e..93406f447 100644
--- a/node_modules/@babel/helper-replace-supers/node_modules/source-map/package.json
+++ b/node_modules/@babel/helper-replace-supers/node_modules/source-map/package.json
@@ -2,7 +2,7 @@
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diff --git a/node_modules/@babel/helper-replace-supers/package.json b/node_modules/@babel/helper-replace-supers/package.json
index 3b5fe94be..433f7f422 100644
--- a/node_modules/@babel/helper-replace-supers/package.json
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diff --git a/node_modules/@babel/helper-simple-access/node_modules/@babel/code-frame/package.json b/node_modules/@babel/helper-simple-access/node_modules/@babel/code-frame/package.json
index 47c818bc9..1a91acff1 100644
--- a/node_modules/@babel/helper-simple-access/node_modules/@babel/code-frame/package.json
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diff --git a/node_modules/@babel/helper-simple-access/node_modules/@babel/highlight/package.json b/node_modules/@babel/helper-simple-access/node_modules/@babel/highlight/package.json
index c4f518d6f..d95b69b69 100644
--- a/node_modules/@babel/helper-simple-access/node_modules/@babel/highlight/package.json
+++ b/node_modules/@babel/helper-simple-access/node_modules/@babel/highlight/package.json
@@ -2,7 +2,7 @@
   "_args": [
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       "@babel/highlight@7.9.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.9.0.tgz",
   "_spec": "7.9.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "me@suchipi.com"
diff --git a/node_modules/@babel/helper-simple-access/node_modules/@babel/parser/package.json b/node_modules/@babel/helper-simple-access/node_modules/@babel/parser/package.json
index 084692327..e00125c04 100644
--- a/node_modules/@babel/helper-simple-access/node_modules/@babel/parser/package.json
+++ b/node_modules/@babel/helper-simple-access/node_modules/@babel/parser/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.9.4",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
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     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/helper-simple-access/node_modules/@babel/template/package.json b/node_modules/@babel/helper-simple-access/node_modules/@babel/template/package.json
index 08e479fec..cba8ed184 100644
--- a/node_modules/@babel/helper-simple-access/node_modules/@babel/template/package.json
+++ b/node_modules/@babel/helper-simple-access/node_modules/@babel/template/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.8.6",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/helper-simple-access/node_modules/@babel/types/package.json b/node_modules/@babel/helper-simple-access/node_modules/@babel/types/package.json
index c2ed2b130..71bea03f7 100644
--- a/node_modules/@babel/helper-simple-access/node_modules/@babel/types/package.json
+++ b/node_modules/@babel/helper-simple-access/node_modules/@babel/types/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -29,7 +29,7 @@
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   "_spec": "7.9.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sebastian McKenzie",
     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/helper-simple-access/package.json b/node_modules/@babel/helper-simple-access/package.json
index 1c3df67e2..8c4ae8f43 100644
--- a/node_modules/@babel/helper-simple-access/package.json
+++ b/node_modules/@babel/helper-simple-access/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -15,7 +15,7 @@
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     "chalk": "2.4.2",
     "js-tokens": "4.0.0",
-    "lodash": "4.17.15",
+    "lodash": "4.17.19",
     "to-fast-properties": "2.0.0"
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@@ -34,7 +34,7 @@
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   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/helper-split-export-declaration/package.json b/node_modules/@babel/helper-split-export-declaration/package.json
index 0a10c2c8a..2b65d2a32 100644
--- a/node_modules/@babel/helper-split-export-declaration/package.json
+++ b/node_modules/@babel/helper-split-export-declaration/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.4.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/helper-validator-identifier/package.json b/node_modules/@babel/helper-validator-identifier/package.json
index 9d6ca0b93..8fe57ea28 100644
--- a/node_modules/@babel/helper-validator-identifier/package.json
+++ b/node_modules/@babel/helper-validator-identifier/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -38,7 +38,7 @@
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   "_resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.9.0.tgz",
   "_spec": "7.9.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "description": "Validate identifier/keywords name",
   "devDependencies": {
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diff --git a/node_modules/@babel/helpers/package.json b/node_modules/@babel/helpers/package.json
index a8eedb384..573607cc2 100644
--- a/node_modules/@babel/helpers/package.json
+++ b/node_modules/@babel/helpers/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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   "_spec": "7.5.5",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/highlight/package.json b/node_modules/@babel/highlight/package.json
index f86b82965..a3d0ca748 100644
--- a/node_modules/@babel/highlight/package.json
+++ b/node_modules/@babel/highlight/package.json
@@ -2,7 +2,7 @@
   "_args": [
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       "@babel/highlight@7.5.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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   "_spec": "7.5.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
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     "email": "me@suchipi.com"
diff --git a/node_modules/@babel/parser/package.json b/node_modules/@babel/parser/package.json
index 82468a314..84c17087d 100644
--- a/node_modules/@babel/parser/package.json
+++ b/node_modules/@babel/parser/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -32,13 +32,13 @@
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   "_spec": "7.5.5",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sebastian McKenzie",
     "email": "sebmck@gmail.com"
   },
   "bin": {
-    "parser": "./bin/babel-parser.js"
+    "parser": "bin/babel-parser.js"
   },
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   "devDependencies": {
diff --git a/node_modules/@babel/plugin-syntax-async-generators/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-async-generators/node_modules/@babel/helper-plugin-utils/package.json
index 169ca7675..3b6ca805a 100644
--- a/node_modules/@babel/plugin-syntax-async-generators/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-async-generators/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-async-generators/package.json b/node_modules/@babel/plugin-syntax-async-generators/package.json
index 3516971c7..d69ddb2aa 100644
--- a/node_modules/@babel/plugin-syntax-async-generators/package.json
+++ b/node_modules/@babel/plugin-syntax-async-generators/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.8.4",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-bigint/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-bigint/node_modules/@babel/helper-plugin-utils/package.json
index cc6aef8aa..bdb9f2b83 100644
--- a/node_modules/@babel/plugin-syntax-bigint/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-bigint/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Logan Smyth",
     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-bigint/package.json b/node_modules/@babel/plugin-syntax-bigint/package.json
index 553ad497f..011e7789a 100644
--- a/node_modules/@babel/plugin-syntax-bigint/package.json
+++ b/node_modules/@babel/plugin-syntax-bigint/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -24,11 +24,11 @@
     "fetchSpec": "7.8.3"
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-    "/babel-preset-jest"
+    "/babel-preset-current-node-syntax"
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   "_spec": "7.8.3",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-class-properties/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-class-properties/node_modules/@babel/helper-plugin-utils/package.json
index a419d485a..98bf57f31 100644
--- a/node_modules/@babel/plugin-syntax-class-properties/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-class-properties/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-class-properties/package.json b/node_modules/@babel/plugin-syntax-class-properties/package.json
index 07467b535..896463cad 100644
--- a/node_modules/@babel/plugin-syntax-class-properties/package.json
+++ b/node_modules/@babel/plugin-syntax-class-properties/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-json-strings/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-json-strings/node_modules/@babel/helper-plugin-utils/package.json
index 4b929d6a2..ecc4c7a20 100644
--- a/node_modules/@babel/plugin-syntax-json-strings/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-json-strings/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
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     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-json-strings/package.json b/node_modules/@babel/plugin-syntax-json-strings/package.json
index 85edd5c7e..8b48037a2 100644
--- a/node_modules/@babel/plugin-syntax-json-strings/package.json
+++ b/node_modules/@babel/plugin-syntax-json-strings/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-logical-assignment-operators/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-logical-assignment-operators/node_modules/@babel/helper-plugin-utils/package.json
index 29df86679..29c19e8d5 100644
--- a/node_modules/@babel/plugin-syntax-logical-assignment-operators/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-logical-assignment-operators/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-logical-assignment-operators/package.json b/node_modules/@babel/plugin-syntax-logical-assignment-operators/package.json
index 087f96c50..164d5cc0f 100644
--- a/node_modules/@babel/plugin-syntax-logical-assignment-operators/package.json
+++ b/node_modules/@babel/plugin-syntax-logical-assignment-operators/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-nullish-coalescing-operator/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-nullish-coalescing-operator/node_modules/@babel/helper-plugin-utils/package.json
index 5c075a997..225dd39e9 100644
--- a/node_modules/@babel/plugin-syntax-nullish-coalescing-operator/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-nullish-coalescing-operator/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-nullish-coalescing-operator/package.json b/node_modules/@babel/plugin-syntax-nullish-coalescing-operator/package.json
index 840920d2a..94a114457 100644
--- a/node_modules/@babel/plugin-syntax-nullish-coalescing-operator/package.json
+++ b/node_modules/@babel/plugin-syntax-nullish-coalescing-operator/package.json
@@ -2,7 +2,7 @@
   "_args": [
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+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-numeric-separator/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-numeric-separator/node_modules/@babel/helper-plugin-utils/package.json
index 7ab08f3bc..971c48411 100644
--- a/node_modules/@babel/plugin-syntax-numeric-separator/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-numeric-separator/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
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       "@babel/helper-plugin-utils@7.8.3",
-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
     ]
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.8.3.tgz",
   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Logan Smyth",
     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-numeric-separator/package.json b/node_modules/@babel/plugin-syntax-numeric-separator/package.json
index 3d805d677..dc8d95d6a 100644
--- a/node_modules/@babel/plugin-syntax-numeric-separator/package.json
+++ b/node_modules/@babel/plugin-syntax-numeric-separator/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_resolved": "https://registry.npmjs.org/@babel/plugin-syntax-numeric-separator/-/plugin-syntax-numeric-separator-7.8.3.tgz",
   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-object-rest-spread/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-object-rest-spread/node_modules/@babel/helper-plugin-utils/package.json
index bce85b7db..8157deab8 100644
--- a/node_modules/@babel/plugin-syntax-object-rest-spread/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-object-rest-spread/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Logan Smyth",
     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-object-rest-spread/package.json b/node_modules/@babel/plugin-syntax-object-rest-spread/package.json
index 4143be83d..6cfe237f3 100644
--- a/node_modules/@babel/plugin-syntax-object-rest-spread/package.json
+++ b/node_modules/@babel/plugin-syntax-object-rest-spread/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   ],
   "_development": true,
@@ -24,11 +24,11 @@
     "fetchSpec": "7.8.3"
   },
   "_requiredBy": [
-    "/babel-preset-jest"
+    "/babel-preset-current-node-syntax"
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   "_resolved": "https://registry.npmjs.org/@babel/plugin-syntax-object-rest-spread/-/plugin-syntax-object-rest-spread-7.8.3.tgz",
   "_spec": "7.8.3",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-optional-catch-binding/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-optional-catch-binding/node_modules/@babel/helper-plugin-utils/package.json
index b500fb683..c93d984a7 100644
--- a/node_modules/@babel/plugin-syntax-optional-catch-binding/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-optional-catch-binding/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.8.3.tgz",
   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
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     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-optional-catch-binding/package.json b/node_modules/@babel/plugin-syntax-optional-catch-binding/package.json
index 0f7c05859..e8def05ae 100644
--- a/node_modules/@babel/plugin-syntax-optional-catch-binding/package.json
+++ b/node_modules/@babel/plugin-syntax-optional-catch-binding/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/plugin-syntax-optional-chaining/node_modules/@babel/helper-plugin-utils/package.json b/node_modules/@babel/plugin-syntax-optional-chaining/node_modules/@babel/helper-plugin-utils/package.json
index 259534140..d09583f97 100644
--- a/node_modules/@babel/plugin-syntax-optional-chaining/node_modules/@babel/helper-plugin-utils/package.json
+++ b/node_modules/@babel/plugin-syntax-optional-chaining/node_modules/@babel/helper-plugin-utils/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
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     "email": "loganfsmyth@gmail.com"
diff --git a/node_modules/@babel/plugin-syntax-optional-chaining/package.json b/node_modules/@babel/plugin-syntax-optional-chaining/package.json
index 791b5dca4..d0d48386d 100644
--- a/node_modules/@babel/plugin-syntax-optional-chaining/package.json
+++ b/node_modules/@babel/plugin-syntax-optional-chaining/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/home/runner/work/readable-readme/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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   "_spec": "7.8.3",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/template/package.json b/node_modules/@babel/template/package.json
index bce662b13..96df8e451 100644
--- a/node_modules/@babel/template/package.json
+++ b/node_modules/@babel/template/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -26,11 +26,13 @@
   "_requiredBy": [
     "/@babel/core",
     "/@babel/helper-function-name",
-    "/@babel/helpers"
+    "/@babel/helpers",
+    "/babel-plugin-jest-hoist",
+    "/jest-config/babel-plugin-jest-hoist"
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   "_spec": "7.4.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/traverse/node_modules/debug/package.json b/node_modules/@babel/traverse/node_modules/debug/package.json
index 25d64246d..875c79cd2 100644
--- a/node_modules/@babel/traverse/node_modules/debug/package.json
+++ b/node_modules/@babel/traverse/node_modules/debug/package.json
@@ -2,7 +2,7 @@
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -27,7 +27,7 @@
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   "_spec": "4.1.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "tj@vision-media.ca"
diff --git a/node_modules/@babel/traverse/node_modules/ms/package.json b/node_modules/@babel/traverse/node_modules/ms/package.json
index 6d1acc299..a61e802e6 100644
--- a/node_modules/@babel/traverse/node_modules/ms/package.json
+++ b/node_modules/@babel/traverse/node_modules/ms/package.json
@@ -2,7 +2,7 @@
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -27,7 +27,7 @@
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   "_spec": "2.1.2",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@babel/traverse/package.json b/node_modules/@babel/traverse/package.json
index 4d11f8f0c..1dd0fc40e 100644
--- a/node_modules/@babel/traverse/package.json
+++ b/node_modules/@babel/traverse/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -26,12 +26,14 @@
   "_requiredBy": [
     "/@babel/core",
     "/@babel/helpers",
+    "/@jest/core/jest-jasmine2",
     "/jest-circus",
-    "/jest-jasmine2"
+    "/jest-jasmine2",
+    "/jest/jest-jasmine2"
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   "_resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.5.5.tgz",
   "_spec": "7.5.5",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "sebmck@gmail.com"
diff --git a/node_modules/@babel/types/package.json b/node_modules/@babel/types/package.json
index 96cb3fd55..f84f7add2 100644
--- a/node_modules/@babel/types/package.json
+++ b/node_modules/@babel/types/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -36,11 +36,16 @@
     "/@types/babel__generator",
     "/@types/babel__template",
     "/@types/babel__traverse",
+    "/babel-plugin-jest-hoist",
+    "/jest-circus/jest-snapshot",
+    "/jest-config/babel-plugin-jest-hoist",
+    "/jest-jasmine2/jest-snapshot",
+    "/jest-runtime/jest-snapshot",
     "/jest-snapshot"
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   "_spec": "7.5.5",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "sebmck@gmail.com"
diff --git a/node_modules/@bcoe/v8-coverage/package.json b/node_modules/@bcoe/v8-coverage/package.json
index caa812ad8..548bd4970 100644
--- a/node_modules/@bcoe/v8-coverage/package.json
+++ b/node_modules/@bcoe/v8-coverage/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,7 +28,7 @@
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   "_spec": "0.2.3",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@cnakazawa/watch/package.json b/node_modules/@cnakazawa/watch/package.json
index b9402040d..fc5fde618 100644
--- a/node_modules/@cnakazawa/watch/package.json
+++ b/node_modules/@cnakazawa/watch/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -28,13 +28,13 @@
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   "_spec": "1.0.3",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Mikeal Rogers",
     "email": "mikeal.rogers@gmail.com"
   },
   "bin": {
-    "watch": "./cli.js"
+    "watch": "cli.js"
   },
   "bugs": {
     "url": "https://github.com/mikeal/watch/issues"
diff --git a/node_modules/@istanbuljs/load-nyc-config/node_modules/find-up/package.json b/node_modules/@istanbuljs/load-nyc-config/node_modules/find-up/package.json
index f8ccd0686..e10dbd439 100644
--- a/node_modules/@istanbuljs/load-nyc-config/node_modules/find-up/package.json
+++ b/node_modules/@istanbuljs/load-nyc-config/node_modules/find-up/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -27,7 +27,7 @@
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   "_spec": "4.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
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diff --git a/node_modules/@istanbuljs/load-nyc-config/node_modules/locate-path/package.json b/node_modules/@istanbuljs/load-nyc-config/node_modules/locate-path/package.json
index bc5921226..4ad322419 100644
--- a/node_modules/@istanbuljs/load-nyc-config/node_modules/locate-path/package.json
+++ b/node_modules/@istanbuljs/load-nyc-config/node_modules/locate-path/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -27,7 +27,7 @@
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   "_spec": "5.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
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diff --git a/node_modules/@istanbuljs/load-nyc-config/node_modules/p-locate/package.json b/node_modules/@istanbuljs/load-nyc-config/node_modules/p-locate/package.json
index 09b5a7d5c..9e57f9da3 100644
--- a/node_modules/@istanbuljs/load-nyc-config/node_modules/p-locate/package.json
+++ b/node_modules/@istanbuljs/load-nyc-config/node_modules/p-locate/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -27,7 +27,7 @@
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   "_spec": "4.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@istanbuljs/load-nyc-config/node_modules/path-exists/package.json b/node_modules/@istanbuljs/load-nyc-config/node_modules/path-exists/package.json
index 105bc31b6..408007c34 100644
--- a/node_modules/@istanbuljs/load-nyc-config/node_modules/path-exists/package.json
+++ b/node_modules/@istanbuljs/load-nyc-config/node_modules/path-exists/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -27,7 +27,7 @@
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   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@istanbuljs/load-nyc-config/node_modules/resolve-from/package.json b/node_modules/@istanbuljs/load-nyc-config/node_modules/resolve-from/package.json
index ac31ccfaa..ddf7187a8 100644
--- a/node_modules/@istanbuljs/load-nyc-config/node_modules/resolve-from/package.json
+++ b/node_modules/@istanbuljs/load-nyc-config/node_modules/resolve-from/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -27,7 +27,7 @@
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   "_spec": "5.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@istanbuljs/load-nyc-config/package.json b/node_modules/@istanbuljs/load-nyc-config/package.json
index 6277479e6..a1ae6000b 100644
--- a/node_modules/@istanbuljs/load-nyc-config/package.json
+++ b/node_modules/@istanbuljs/load-nyc-config/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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   "_development": true,
@@ -26,12 +26,11 @@
     "fetchSpec": "1.0.0"
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   "_requiredBy": [
-    "/babel-plugin-istanbul",
-    "/jest-circus/babel-plugin-istanbul"
+    "/babel-plugin-istanbul"
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   "_resolved": "https://registry.npmjs.org/@istanbuljs/load-nyc-config/-/load-nyc-config-1.0.0.tgz",
   "_spec": "1.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@istanbuljs/schema/package.json b/node_modules/@istanbuljs/schema/package.json
index 692171314..5c468c5a5 100644
--- a/node_modules/@istanbuljs/schema/package.json
+++ b/node_modules/@istanbuljs/schema/package.json
@@ -2,7 +2,7 @@
   "_args": [
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-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
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@@ -26,14 +26,11 @@
   "_requiredBy": [
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     "/istanbul-lib-instrument",
-    "/jest-circus/babel-plugin-istanbul",
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   "_spec": "0.1.2",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
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diff --git a/node_modules/@jest/console/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/console/node_modules/@jest/types/build/Transform.d.ts
index ea3e511cb..af8063f7d 100644
--- a/node_modules/@jest/console/node_modules/@jest/types/build/Transform.d.ts
+++ b/node_modules/@jest/console/node_modules/@jest/types/build/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/console/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/console/node_modules/@jest/types/build/ts3.4/Transform.d.ts
index bcc63baf1..231ae24ca 100644
--- a/node_modules/@jest/console/node_modules/@jest/types/build/ts3.4/Transform.d.ts
+++ b/node_modules/@jest/console/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/console/node_modules/@jest/types/package.json b/node_modules/@jest/console/node_modules/@jest/types/package.json
index 1f72d4062..e7fa04fee 100644
--- a/node_modules/@jest/console/node_modules/@jest/types/package.json
+++ b/node_modules/@jest/console/node_modules/@jest/types/package.json
@@ -1,34 +1,34 @@
 {
   "_args": [
     [
-      "@jest/types@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/types@25.4.0",
-  "_id": "@jest/types@25.4.0",
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-XBeaWNzw2PPnGW5aXvZt3+VO60M+34RY3XDsCK5tW7kyj3RK0XClRutCfjqcBuaR2aBQTbluEDME9b5MB9UAPw==",
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
   "_location": "/@jest/console/@jest/types",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/types@25.4.0",
+    "raw": "@jest/types@25.5.0",
     "name": "@jest/types",
     "escapedName": "@jest%2ftypes",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/console"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
@@ -44,7 +44,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -65,5 +65,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/console/node_modules/ansi-styles/package.json b/node_modules/@jest/console/node_modules/ansi-styles/package.json
index 74926d473..7da0d11a9 100644
--- a/node_modules/@jest/console/node_modules/ansi-styles/package.json
+++ b/node_modules/@jest/console/node_modules/ansi-styles/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ansi-styles@4.2.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
   "_spec": "4.2.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/console/node_modules/chalk/package.json b/node_modules/@jest/console/node_modules/chalk/package.json
index 4cfc85e57..7a6434e68 100644
--- a/node_modules/@jest/console/node_modules/chalk/package.json
+++ b/node_modules/@jest/console/node_modules/chalk/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "chalk@3.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -23,11 +23,12 @@
     "fetchSpec": "3.0.0"
   },
   "_requiredBy": [
-    "/@jest/console"
+    "/@jest/console",
+    "/@jest/console/@jest/types"
   ],
   "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
   "_spec": "3.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/chalk/chalk/issues"
   },
diff --git a/node_modules/@jest/console/node_modules/color-convert/package.json b/node_modules/@jest/console/node_modules/color-convert/package.json
index 03b0d0256..7ca5b5b62 100644
--- a/node_modules/@jest/console/node_modules/color-convert/package.json
+++ b/node_modules/@jest/console/node_modules/color-convert/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-convert@2.0.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
   "_spec": "2.0.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Heather Arthur",
     "email": "fayearthur@gmail.com"
diff --git a/node_modules/@jest/console/node_modules/color-name/package.json b/node_modules/@jest/console/node_modules/color-name/package.json
index b2e04d087..84255b2a8 100644
--- a/node_modules/@jest/console/node_modules/color-name/package.json
+++ b/node_modules/@jest/console/node_modules/color-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-name@1.1.4",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
   "_spec": "1.1.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "DY",
     "email": "dfcreative@gmail.com"
diff --git a/node_modules/@jest/console/node_modules/has-flag/package.json b/node_modules/@jest/console/node_modules/has-flag/package.json
index 7fc805a12..eaf560d3a 100644
--- a/node_modules/@jest/console/node_modules/has-flag/package.json
+++ b/node_modules/@jest/console/node_modules/has-flag/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "has-flag@4.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/console/node_modules/supports-color/package.json b/node_modules/@jest/console/node_modules/supports-color/package.json
index 7c44887ff..e916bfdbe 100644
--- a/node_modules/@jest/console/node_modules/supports-color/package.json
+++ b/node_modules/@jest/console/node_modules/supports-color/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "supports-color@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/console/package.json b/node_modules/@jest/console/package.json
index 505bfe876..0a1347880 100644
--- a/node_modules/@jest/console/package.json
+++ b/node_modules/@jest/console/package.json
@@ -1,15 +1,15 @@
 {
   "_args": [
     [
-      "@jest/console@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/console@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/console@25.4.0",
-  "_id": "@jest/console@25.4.0",
+  "_from": "@jest/console@25.5.0",
+  "_id": "@jest/console@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-CfE0erx4hdJ6t7RzAcE1wLG6ZzsHSmybvIBQDoCkDM1QaSeWL9wJMzID/2BbHHa7ll9SsbbK43HjbERbBaFX2A==",
+  "_integrity": "sha512-T48kZa6MK1Y6k4b89sexwmSF4YLeZS/Udqg3Jj3jG/cHH+N/sLFCEoXEDMOKugJQ9FxPN1osxIknvKkxt6MKyw==",
   "_location": "/@jest/console",
   "_phantomChildren": {
     "@types/color-name": "1.1.1",
@@ -20,32 +20,34 @@
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/console@25.4.0",
+    "raw": "@jest/console@25.5.0",
     "name": "@jest/console",
     "escapedName": "@jest%2fconsole",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/core",
+    "/@jest/core/jest-runner",
+    "/@jest/core/jest-runtime",
     "/@jest/reporters",
     "/@jest/test-result",
-    "/jest-runner",
-    "/jest-runtime"
+    "/jest/jest-runner",
+    "/jest/jest-runtime"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/console/-/console-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/console/-/console-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
-    "@jest/types": "^25.4.0",
+    "@jest/types": "^25.5.0",
     "chalk": "^3.0.0",
-    "jest-message-util": "^25.4.0",
-    "jest-util": "^25.4.0",
+    "jest-message-util": "^25.5.0",
+    "jest-util": "^25.5.0",
     "slash": "^3.0.0"
   },
   "devDependencies": {
@@ -54,7 +56,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -75,5 +77,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/core/build/SearchSource.d.ts b/node_modules/@jest/core/build/SearchSource.d.ts
index 42eafe81f..a605bf1b5 100644
--- a/node_modules/@jest/core/build/SearchSource.d.ts
+++ b/node_modules/@jest/core/build/SearchSource.d.ts
@@ -27,8 +27,10 @@ export declare type TestSelectionConfig = {
 };
 export default class SearchSource {
     private _context;
+    private _dependencyResolver;
     private _testPathCases;
     constructor(context: Context);
+    private _getOrBuildDependencyResolver;
     private _filterTestPathsWithStats;
     private _getAllTestPaths;
     isTestFilePath(path: Config.Path): boolean;
@@ -39,4 +41,5 @@ export default class SearchSource {
     findTestRelatedToChangedFiles(changedFilesInfo: ChangedFiles, collectCoverage: boolean): SearchResult;
     private _getTestPaths;
     getTestPaths(globalConfig: Config.GlobalConfig, changedFiles: ChangedFiles | undefined, filter?: Filter): Promise<SearchResult>;
+    findRelatedSourcesFromTestsInChangedFiles(changedFilesInfo: ChangedFiles): Array<string>;
 }
diff --git a/node_modules/@jest/core/build/SearchSource.js b/node_modules/@jest/core/build/SearchSource.js
index 12baed849..642dba1c6 100644
--- a/node_modules/@jest/core/build/SearchSource.js
+++ b/node_modules/@jest/core/build/SearchSource.js
@@ -164,14 +164,24 @@ const toTests = (context, tests) =>
     path
   }));
 
+const hasSCM = changedFilesInfo => {
+  const {repos} = changedFilesInfo; // no SCM (git/hg/...) is found in any of the roots.
+
+  const noSCM = Object.values(repos).every(scm => scm.size === 0);
+  return !noSCM;
+};
+
 class SearchSource {
   constructor(context) {
     _defineProperty(this, '_context', void 0);
 
+    _defineProperty(this, '_dependencyResolver', void 0);
+
     _defineProperty(this, '_testPathCases', []);
 
     const {config} = context;
     this._context = context;
+    this._dependencyResolver = null;
     const rootPattern = new RegExp(
       config.roots
         .map(dir => (0, _jestRegexUtil().escapePathForRegex)(dir + path().sep))
@@ -209,6 +219,18 @@ class SearchSource {
     }
   }
 
+  _getOrBuildDependencyResolver() {
+    if (!this._dependencyResolver) {
+      this._dependencyResolver = new (_jestResolveDependencies().default)(
+        this._context.resolver,
+        this._context.hasteFS,
+        (0, _jestSnapshot().buildSnapshotResolver)(this._context.config)
+      );
+    }
+
+    return this._dependencyResolver;
+  }
+
   _filterTestPathsWithStats(allPaths, testPathPattern) {
     const data = {
       stats: {
@@ -263,11 +285,7 @@ class SearchSource {
   }
 
   findRelatedTests(allPaths, collectCoverage) {
-    const dependencyResolver = new (_jestResolveDependencies().default)(
-      this._context.resolver,
-      this._context.hasteFS,
-      (0, _jestSnapshot().buildSnapshotResolver)(this._context.config)
-    );
+    const dependencyResolver = this._getOrBuildDependencyResolver();
 
     if (!collectCoverage) {
       return {
@@ -348,15 +366,15 @@ class SearchSource {
   }
 
   findTestRelatedToChangedFiles(changedFilesInfo, collectCoverage) {
-    const {repos, changedFiles} = changedFilesInfo; // no SCM (git/hg/...) is found in any of the roots.
+    if (!hasSCM(changedFilesInfo)) {
+      return {
+        noSCM: true,
+        tests: []
+      };
+    }
 
-    const noSCM = Object.keys(repos).every(scm => repos[scm].size === 0);
-    return noSCM
-      ? {
-          noSCM: true,
-          tests: []
-        }
-      : this.findRelatedTests(changedFiles, collectCoverage);
+    const {changedFiles} = changedFilesInfo;
+    return this.findRelatedTests(changedFiles, collectCoverage);
   }
 
   _getTestPaths(globalConfig, changedFiles) {
@@ -381,16 +399,18 @@ class SearchSource {
         windows: false
       };
       paths = paths
-        .map(p => path().resolve(this._context.config.cwd, p))
-        .map(
-          p =>
-            (0, _micromatch().default)(
-              allFiles,
-              p.replace(/\\/g, '\\\\'),
-              options
-            )[0]
-        )
-        .filter(p => p);
+        .map(p => {
+          const relativePath = path()
+            .resolve(this._context.config.cwd, p)
+            .replace(/\\/g, '\\\\');
+          const match = (0, _micromatch().default)(
+            allFiles,
+            relativePath,
+            options
+          );
+          return match[0];
+        })
+        .filter(Boolean);
     }
 
     if (globalConfig.runTestsByPath && paths && paths.length) {
@@ -435,6 +455,27 @@ class SearchSource {
 
     return searchResult;
   }
+
+  findRelatedSourcesFromTestsInChangedFiles(changedFilesInfo) {
+    if (!hasSCM(changedFilesInfo)) {
+      return [];
+    }
+
+    const {changedFiles} = changedFilesInfo;
+
+    const dependencyResolver = this._getOrBuildDependencyResolver();
+
+    const relatedSourcesSet = new Set();
+    changedFiles.forEach(filePath => {
+      if (this.isTestFilePath(filePath)) {
+        const sourcePaths = dependencyResolver.resolve(filePath, {
+          skipNodeResolution: this._context.config.skipNodeResolution
+        });
+        sourcePaths.forEach(sourcePath => relatedSourcesSet.add(sourcePath));
+      }
+    });
+    return Array.from(relatedSourcesSet);
+  }
 }
 
 exports.default = SearchSource;
diff --git a/node_modules/@jest/core/build/TestScheduler.d.ts b/node_modules/@jest/core/build/TestScheduler.d.ts
index 45e069be3..5e41b1422 100644
--- a/node_modules/@jest/core/build/TestScheduler.d.ts
+++ b/node_modules/@jest/core/build/TestScheduler.d.ts
@@ -16,6 +16,7 @@ export declare type TestSchedulerContext = {
     firstRun: boolean;
     previousSuccess: boolean;
     changedFiles?: Set<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>;
 };
 export default class TestScheduler {
     private _dispatcher;
diff --git a/node_modules/@jest/core/build/TestScheduler.js b/node_modules/@jest/core/build/TestScheduler.js
index ed97d1c1d..244877d1e 100644
--- a/node_modules/@jest/core/build/TestScheduler.js
+++ b/node_modules/@jest/core/build/TestScheduler.js
@@ -244,10 +244,21 @@ class TestScheduler {
     const testRunners = Object.create(null);
     contexts.forEach(({config}) => {
       if (!testRunners[config.runner]) {
+        var _this$_context, _this$_context2;
+
         const Runner = require(config.runner);
 
         testRunners[config.runner] = new Runner(this._globalConfig, {
-          changedFiles: this._context && this._context.changedFiles
+          changedFiles:
+            (_this$_context = this._context) === null ||
+            _this$_context === void 0
+              ? void 0
+              : _this$_context.changedFiles,
+          sourcesRelatedToTestsInChangedFiles:
+            (_this$_context2 = this._context) === null ||
+            _this$_context2 === void 0
+              ? void 0
+              : _this$_context2.sourcesRelatedToTestsInChangedFiles
         });
       }
     });
@@ -334,9 +345,20 @@ class TestScheduler {
     }
 
     if (!isDefault && collectCoverage) {
+      var _this$_context3, _this$_context4;
+
       this.addReporter(
         new (_reporters().CoverageReporter)(this._globalConfig, {
-          changedFiles: this._context && this._context.changedFiles
+          changedFiles:
+            (_this$_context3 = this._context) === null ||
+            _this$_context3 === void 0
+              ? void 0
+              : _this$_context3.changedFiles,
+          sourcesRelatedToTestsInChangedFiles:
+            (_this$_context4 = this._context) === null ||
+            _this$_context4 === void 0
+              ? void 0
+              : _this$_context4.sourcesRelatedToTestsInChangedFiles
         })
       );
     }
@@ -364,9 +386,20 @@ class TestScheduler {
     );
 
     if (collectCoverage) {
+      var _this$_context5, _this$_context6;
+
       this.addReporter(
         new (_reporters().CoverageReporter)(this._globalConfig, {
-          changedFiles: this._context && this._context.changedFiles
+          changedFiles:
+            (_this$_context5 = this._context) === null ||
+            _this$_context5 === void 0
+              ? void 0
+              : _this$_context5.changedFiles,
+          sourcesRelatedToTestsInChangedFiles:
+            (_this$_context6 = this._context) === null ||
+            _this$_context6 === void 0
+              ? void 0
+              : _this$_context6.sourcesRelatedToTestsInChangedFiles
         })
       );
     }
diff --git a/node_modules/@jest/core/build/cli/index.js b/node_modules/@jest/core/build/cli/index.js
index 1a5b1de8f..db8de1933 100644
--- a/node_modules/@jest/core/build/cli/index.js
+++ b/node_modules/@jest/core/build/cli/index.js
@@ -190,11 +190,6 @@ function _interopRequireDefault(obj) {
 const {print: preRunMessagePrint} = _jestUtil().preRunMessage;
 
 async function runCLI(argv, projects) {
-  const realFs = require('fs');
-
-  const fs = require('graceful-fs');
-
-  fs.gracefulify(realFs);
   let results; // If we output a JSON object, we can't write anything to stdout, since
   // it'll break the JSON structure and it won't be valid.
 
diff --git a/node_modules/@jest/core/build/runJest.js b/node_modules/@jest/core/build/runJest.js
index 43d433e92..ac63e11af 100644
--- a/node_modules/@jest/core/build/runJest.js
+++ b/node_modules/@jest/core/build/runJest.js
@@ -161,13 +161,12 @@ function _interopRequireWildcard(obj) {
  */
 const getTestPaths = async (
   globalConfig,
-  context,
+  source,
   outputStream,
   changedFiles,
   jestHooks,
   filter
 ) => {
-  const source = new _SearchSource.default(context);
   const data = await source.getTestPaths(globalConfig, changedFiles, filter);
 
   if (!data.tests.length && globalConfig.onlyChanged && data.noSCM) {
@@ -272,11 +271,15 @@ async function runJest({
     }
   }
 
+  const searchSources = contexts.map(
+    context => new _SearchSource.default(context)
+  );
   const testRunData = await Promise.all(
-    contexts.map(async context => {
+    contexts.map(async (context, index) => {
+      const searchSource = searchSources[index];
       const matches = await getTestPaths(
         globalConfig,
-        context,
+        searchSource,
         outputStream,
         changedFilesPromise && (await changedFilesPromise),
         jestHooks,
@@ -357,9 +360,23 @@ async function runJest({
   }
 
   if (changedFilesPromise) {
-    testSchedulerContext.changedFiles = (
-      await changedFilesPromise
-    ).changedFiles;
+    const changedFilesInfo = await changedFilesPromise;
+
+    if (changedFilesInfo.changedFiles) {
+      testSchedulerContext.changedFiles = changedFilesInfo.changedFiles;
+      const sourcesRelatedToTestsInChangedFilesArray = contexts
+        .map((_, index) => {
+          const searchSource = searchSources[index];
+          const relatedSourceFromTestsInChangedFiles = searchSource.findRelatedSourcesFromTestsInChangedFiles(
+            changedFilesInfo
+          );
+          return relatedSourceFromTestsInChangedFiles;
+        })
+        .reduce((total, paths) => total.concat(paths), []);
+      testSchedulerContext.sourcesRelatedToTestsInChangedFiles = new Set(
+        sourcesRelatedToTestsInChangedFilesArray
+      );
+    }
   }
 
   const results = await new _TestScheduler.default(
diff --git a/node_modules/@jest/core/build/ts3.4/SearchSource.d.ts b/node_modules/@jest/core/build/ts3.4/SearchSource.d.ts
index d811b3c24..9855d3af7 100644
--- a/node_modules/@jest/core/build/ts3.4/SearchSource.d.ts
+++ b/node_modules/@jest/core/build/ts3.4/SearchSource.d.ts
@@ -27,8 +27,10 @@ export declare type TestSelectionConfig = {
 };
 export default class SearchSource {
     private _context;
+    private _dependencyResolver;
     private _testPathCases;
     constructor(context: Context);
+    private _getOrBuildDependencyResolver;
     private _filterTestPathsWithStats;
     private _getAllTestPaths;
     isTestFilePath(path: Config.Path): boolean;
@@ -39,4 +41,5 @@ export default class SearchSource {
     findTestRelatedToChangedFiles(changedFilesInfo: ChangedFiles, collectCoverage: boolean): SearchResult;
     private _getTestPaths;
     getTestPaths(globalConfig: Config.GlobalConfig, changedFiles: ChangedFiles | undefined, filter?: Filter): Promise<SearchResult>;
+    findRelatedSourcesFromTestsInChangedFiles(changedFilesInfo: ChangedFiles): Array<string>;
 }
diff --git a/node_modules/@jest/core/build/ts3.4/TestScheduler.d.ts b/node_modules/@jest/core/build/ts3.4/TestScheduler.d.ts
index 47bdc4a86..e1dadf6f1 100644
--- a/node_modules/@jest/core/build/ts3.4/TestScheduler.d.ts
+++ b/node_modules/@jest/core/build/ts3.4/TestScheduler.d.ts
@@ -16,6 +16,7 @@ export declare type TestSchedulerContext = {
     firstRun: boolean;
     previousSuccess: boolean;
     changedFiles?: Set<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>;
 };
 export default class TestScheduler {
     private _dispatcher;
diff --git a/node_modules/@jest/core/node_modules/.bin/jest-runtime b/node_modules/@jest/core/node_modules/.bin/jest-runtime
new file mode 120000
index 000000000..ec00171e0
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/.bin/jest-runtime
@@ -0,0 +1 @@
+../jest-runtime/bin/jest-runtime.js
\ No newline at end of file
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/LICENSE b/node_modules/@jest/core/node_modules/@jest/test-sequencer/LICENSE
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/LICENSE
rename to node_modules/@jest/core/node_modules/@jest/test-sequencer/LICENSE
diff --git a/node_modules/@jest/core/node_modules/@jest/test-sequencer/build/index.d.ts b/node_modules/@jest/core/node_modules/@jest/test-sequencer/build/index.d.ts
new file mode 100644
index 000000000..db1524b34
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/@jest/test-sequencer/build/index.d.ts
@@ -0,0 +1,51 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { AggregatedResult } from '@jest/test-result';
+import type { Context } from 'jest-runtime';
+import type { Test } from 'jest-runner';
+declare type Cache = {
+    [key: string]: [0 | 1, number];
+};
+/**
+ * The TestSequencer will ultimately decide which tests should run first.
+ * It is responsible for storing and reading from a local cache
+ * map that stores context information for a given test, such as how long it
+ * took to run during the last run and if it has failed or not.
+ * Such information is used on:
+ * TestSequencer.sort(tests: Array<Test>)
+ * to sort the order of the provided tests.
+ *
+ * After the results are collected,
+ * TestSequencer.cacheResults(tests: Array<Test>, results: AggregatedResult)
+ * is called to store/update this information on the cache map.
+ */
+export default class TestSequencer {
+    private _cache;
+    _getCachePath(context: Context): string;
+    _getCache(test: Test): Cache;
+    /**
+     * Sorting tests is very important because it has a great impact on the
+     * user-perceived responsiveness and speed of the test run.
+     *
+     * If such information is on cache, tests are sorted based on:
+     * -> Has it failed during the last run ?
+     * Since it's important to provide the most expected feedback as quickly
+     * as possible.
+     * -> How long it took to run ?
+     * Because running long tests first is an effort to minimize worker idle
+     * time at the end of a long test run.
+     * And if that information is not available they are sorted based on file size
+     * since big test files usually take longer to complete.
+     *
+     * Note that a possible improvement would be to analyse other information
+     * from the file other than its size.
+     *
+     */
+    sort(tests: Array<Test>): Array<Test>;
+    cacheResults(tests: Array<Test>, results: AggregatedResult): void;
+}
+export {};
diff --git a/node_modules/@jest/core/node_modules/@jest/test-sequencer/build/index.js b/node_modules/@jest/core/node_modules/@jest/test-sequencer/build/index.js
new file mode 100644
index 000000000..0e969dca9
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/@jest/test-sequencer/build/index.js
@@ -0,0 +1,213 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestHasteMap() {
+  const data = require('jest-haste-map');
+
+  _jestHasteMap = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+const FAIL = 0;
+const SUCCESS = 1;
+
+/**
+ * The TestSequencer will ultimately decide which tests should run first.
+ * It is responsible for storing and reading from a local cache
+ * map that stores context information for a given test, such as how long it
+ * took to run during the last run and if it has failed or not.
+ * Such information is used on:
+ * TestSequencer.sort(tests: Array<Test>)
+ * to sort the order of the provided tests.
+ *
+ * After the results are collected,
+ * TestSequencer.cacheResults(tests: Array<Test>, results: AggregatedResult)
+ * is called to store/update this information on the cache map.
+ */
+class TestSequencer {
+  constructor() {
+    _defineProperty(this, '_cache', new Map());
+  }
+
+  _getCachePath(context) {
+    const {config} = context;
+    return (0, _jestHasteMap().getCacheFilePath)(
+      config.cacheDirectory,
+      'perf-cache-' + config.name
+    );
+  }
+
+  _getCache(test) {
+    const {context} = test;
+
+    if (!this._cache.has(context) && context.config.cache) {
+      const cachePath = this._getCachePath(context);
+
+      if (fs().existsSync(cachePath)) {
+        try {
+          this._cache.set(
+            context,
+            JSON.parse(fs().readFileSync(cachePath, 'utf8'))
+          );
+        } catch (e) {}
+      }
+    }
+
+    let cache = this._cache.get(context);
+
+    if (!cache) {
+      cache = {};
+
+      this._cache.set(context, cache);
+    }
+
+    return cache;
+  }
+  /**
+   * Sorting tests is very important because it has a great impact on the
+   * user-perceived responsiveness and speed of the test run.
+   *
+   * If such information is on cache, tests are sorted based on:
+   * -> Has it failed during the last run ?
+   * Since it's important to provide the most expected feedback as quickly
+   * as possible.
+   * -> How long it took to run ?
+   * Because running long tests first is an effort to minimize worker idle
+   * time at the end of a long test run.
+   * And if that information is not available they are sorted based on file size
+   * since big test files usually take longer to complete.
+   *
+   * Note that a possible improvement would be to analyse other information
+   * from the file other than its size.
+   *
+   */
+
+  sort(tests) {
+    const stats = {};
+
+    const fileSize = ({path, context: {hasteFS}}) =>
+      stats[path] || (stats[path] = hasteFS.getSize(path) || 0);
+
+    const hasFailed = (cache, test) =>
+      cache[test.path] && cache[test.path][0] === FAIL;
+
+    const time = (cache, test) => cache[test.path] && cache[test.path][1];
+
+    tests.forEach(test => (test.duration = time(this._getCache(test), test)));
+    return tests.sort((testA, testB) => {
+      const cacheA = this._getCache(testA);
+
+      const cacheB = this._getCache(testB);
+
+      const failedA = hasFailed(cacheA, testA);
+      const failedB = hasFailed(cacheB, testB);
+      const hasTimeA = testA.duration != null;
+
+      if (failedA !== failedB) {
+        return failedA ? -1 : 1;
+      } else if (hasTimeA != (testB.duration != null)) {
+        // If only one of two tests has timing information, run it last
+        return hasTimeA ? 1 : -1;
+      } else if (testA.duration != null && testB.duration != null) {
+        return testA.duration < testB.duration ? 1 : -1;
+      } else {
+        return fileSize(testA) < fileSize(testB) ? 1 : -1;
+      }
+    });
+  }
+
+  cacheResults(tests, results) {
+    const map = Object.create(null);
+    tests.forEach(test => (map[test.path] = test));
+    results.testResults.forEach(testResult => {
+      if (testResult && map[testResult.testFilePath] && !testResult.skipped) {
+        const cache = this._getCache(map[testResult.testFilePath]);
+
+        const perf = testResult.perfStats;
+        cache[testResult.testFilePath] = [
+          testResult.numFailingTests ? FAIL : SUCCESS,
+          perf.end - perf.start || 0
+        ];
+      }
+    });
+
+    this._cache.forEach((cache, context) =>
+      fs().writeFileSync(this._getCachePath(context), JSON.stringify(cache))
+    );
+  }
+}
+
+exports.default = TestSequencer;
diff --git a/node_modules/@jest/test-sequencer/build/ts3.4/index.d.ts b/node_modules/@jest/core/node_modules/@jest/test-sequencer/build/ts3.4/index.d.ts
similarity index 100%
rename from node_modules/@jest/test-sequencer/build/ts3.4/index.d.ts
rename to node_modules/@jest/core/node_modules/@jest/test-sequencer/build/ts3.4/index.d.ts
diff --git a/node_modules/@jest/core/node_modules/@jest/test-sequencer/package.json b/node_modules/@jest/core/node_modules/@jest/test-sequencer/package.json
new file mode 100644
index 000000000..56729bcb6
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/@jest/test-sequencer/package.json
@@ -0,0 +1,70 @@
+{
+  "_args": [
+    [
+      "@jest/test-sequencer@25.5.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "@jest/test-sequencer@25.5.4",
+  "_id": "@jest/test-sequencer@25.5.4",
+  "_inBundle": false,
+  "_integrity": "sha512-pTJGEkSeg1EkCO2YWq6hbFvKNXk8ejqlxiOg1jBNLnWrgXOkdY6UmqZpwGFXNnRt9B8nO1uWMzLLZ4eCmhkPNA==",
+  "_location": "/@jest/core/@jest/test-sequencer",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "@jest/test-sequencer@25.5.4",
+    "name": "@jest/test-sequencer",
+    "escapedName": "@jest%2ftest-sequencer",
+    "scope": "@jest",
+    "rawSpec": "25.5.4",
+    "saveSpec": null,
+    "fetchSpec": "25.5.4"
+  },
+  "_requiredBy": [
+    "/@jest/core/jest-config"
+  ],
+  "_resolved": "https://registry.npmjs.org/@jest/test-sequencer/-/test-sequencer-25.5.4.tgz",
+  "_spec": "25.5.4",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/test-result": "^25.5.0",
+    "graceful-fs": "^4.2.4",
+    "jest-haste-map": "^25.5.1",
+    "jest-runner": "^25.5.4",
+    "jest-runtime": "^25.5.4"
+  },
+  "devDependencies": {
+    "@types/graceful-fs": "^4.1.3"
+  },
+  "engines": {
+    "node": ">= 8.3"
+  },
+  "gitHead": "389d13724bbf6bb64dcde9700a6ecea3333942db",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "@jest/test-sequencer",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-test-sequencer"
+  },
+  "types": "build/index.d.ts",
+  "typesVersions": {
+    "<3.8": {
+      "build/*": [
+        "build/ts3.4/*"
+      ]
+    }
+  },
+  "version": "25.5.4"
+}
diff --git a/node_modules/@jest/core/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/core/node_modules/@jest/types/build/Transform.d.ts
index ea3e511cb..af8063f7d 100644
--- a/node_modules/@jest/core/node_modules/@jest/types/build/Transform.d.ts
+++ b/node_modules/@jest/core/node_modules/@jest/types/build/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/core/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/core/node_modules/@jest/types/build/ts3.4/Transform.d.ts
index bcc63baf1..231ae24ca 100644
--- a/node_modules/@jest/core/node_modules/@jest/types/build/ts3.4/Transform.d.ts
+++ b/node_modules/@jest/core/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/core/node_modules/@jest/types/package.json b/node_modules/@jest/core/node_modules/@jest/types/package.json
index 58406c7d9..62f9944ee 100644
--- a/node_modules/@jest/core/node_modules/@jest/types/package.json
+++ b/node_modules/@jest/core/node_modules/@jest/types/package.json
@@ -1,34 +1,39 @@
 {
   "_args": [
     [
-      "@jest/types@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/types@25.4.0",
-  "_id": "@jest/types@25.4.0",
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-XBeaWNzw2PPnGW5aXvZt3+VO60M+34RY3XDsCK5tW7kyj3RK0XClRutCfjqcBuaR2aBQTbluEDME9b5MB9UAPw==",
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
   "_location": "/@jest/core/@jest/types",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/types@25.4.0",
+    "raw": "@jest/types@25.5.0",
     "name": "@jest/types",
     "escapedName": "@jest%2ftypes",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
-    "/@jest/core"
+    "/@jest/core",
+    "/@jest/core/jest-config",
+    "/@jest/core/jest-jasmine2",
+    "/@jest/core/jest-runner",
+    "/@jest/core/jest-runtime",
+    "/@jest/core/pretty-format"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
@@ -44,7 +49,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -65,5 +70,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/core/node_modules/ansi-regex/index.d.ts b/node_modules/@jest/core/node_modules/ansi-regex/index.d.ts
new file mode 100644
index 000000000..2dbf6af2b
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/ansi-regex/index.d.ts
@@ -0,0 +1,37 @@
+declare namespace ansiRegex {
+	interface Options {
+		/**
+		Match only the first ANSI escape.
+
+		@default false
+		*/
+		onlyFirst: boolean;
+	}
+}
+
+/**
+Regular expression for matching ANSI escape codes.
+
+@example
+```
+import ansiRegex = require('ansi-regex');
+
+ansiRegex().test('\u001B[4mcake\u001B[0m');
+//=> true
+
+ansiRegex().test('cake');
+//=> false
+
+'\u001B[4mcake\u001B[0m'.match(ansiRegex());
+//=> ['\u001B[4m', '\u001B[0m']
+
+'\u001B[4mcake\u001B[0m'.match(ansiRegex({onlyFirst: true}));
+//=> ['\u001B[4m']
+
+'\u001B]8;;https://github.com\u0007click\u001B]8;;\u0007'.match(ansiRegex());
+//=> ['\u001B]8;;https://github.com\u0007', '\u001B]8;;\u0007']
+```
+*/
+declare function ansiRegex(options?: ansiRegex.Options): RegExp;
+
+export = ansiRegex;
diff --git a/node_modules/@jest/core/node_modules/ansi-regex/index.js b/node_modules/@jest/core/node_modules/ansi-regex/index.js
new file mode 100644
index 000000000..35054aa67
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/ansi-regex/index.js
@@ -0,0 +1,10 @@
+'use strict';
+
+module.exports = ({onlyFirst = false} = {}) => {
+	const pattern = [
+		'[\\u001B\\u009B][[\\]()#;?]*(?:(?:(?:[a-zA-Z\\d]*(?:;[-a-zA-Z\\d\\/#&.:=?%@~_]*)*)?\\u0007)',
+		'(?:(?:\\d{1,4}(?:;\\d{0,4})*)?[\\dA-PR-TZcf-ntqry=><~]))'
+	].join('|');
+
+	return new RegExp(pattern, onlyFirst ? undefined : 'g');
+};
diff --git a/node_modules/macos-release/license b/node_modules/@jest/core/node_modules/ansi-regex/license
similarity index 100%
rename from node_modules/macos-release/license
rename to node_modules/@jest/core/node_modules/ansi-regex/license
diff --git a/node_modules/@jest/core/node_modules/ansi-regex/package.json b/node_modules/@jest/core/node_modules/ansi-regex/package.json
new file mode 100644
index 000000000..7a42bf46f
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/ansi-regex/package.json
@@ -0,0 +1,91 @@
+{
+  "_args": [
+    [
+      "ansi-regex@5.0.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "ansi-regex@5.0.0",
+  "_id": "ansi-regex@5.0.0",
+  "_inBundle": false,
+  "_integrity": "sha512-bY6fj56OUQ0hU1KjFNDQuJFezqKdrAyFdIevADiqrWHwSlbmBNMHp5ak2f40Pm8JTFyM2mqxkG6ngkHO11f/lg==",
+  "_location": "/@jest/core/ansi-regex",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "ansi-regex@5.0.0",
+    "name": "ansi-regex",
+    "escapedName": "ansi-regex",
+    "rawSpec": "5.0.0",
+    "saveSpec": null,
+    "fetchSpec": "5.0.0"
+  },
+  "_requiredBy": [
+    "/@jest/core/pretty-format"
+  ],
+  "_resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.0.tgz",
+  "_spec": "5.0.0",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Sindre Sorhus",
+    "email": "sindresorhus@gmail.com",
+    "url": "sindresorhus.com"
+  },
+  "bugs": {
+    "url": "https://github.com/chalk/ansi-regex/issues"
+  },
+  "description": "Regular expression for matching ANSI escape codes",
+  "devDependencies": {
+    "ava": "^2.4.0",
+    "tsd": "^0.9.0",
+    "xo": "^0.25.3"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "index.js",
+    "index.d.ts"
+  ],
+  "homepage": "https://github.com/chalk/ansi-regex#readme",
+  "keywords": [
+    "ansi",
+    "styles",
+    "color",
+    "colour",
+    "colors",
+    "terminal",
+    "console",
+    "cli",
+    "string",
+    "tty",
+    "escape",
+    "formatting",
+    "rgb",
+    "256",
+    "shell",
+    "xterm",
+    "command-line",
+    "text",
+    "regex",
+    "regexp",
+    "re",
+    "match",
+    "test",
+    "find",
+    "pattern"
+  ],
+  "license": "MIT",
+  "name": "ansi-regex",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/chalk/ansi-regex.git"
+  },
+  "scripts": {
+    "test": "xo && ava && tsd",
+    "view-supported": "node fixtures/view-codes.js"
+  },
+  "version": "5.0.0"
+}
diff --git a/node_modules/@jest/core/node_modules/ansi-regex/readme.md b/node_modules/@jest/core/node_modules/ansi-regex/readme.md
new file mode 100644
index 000000000..3c2b77c43
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/ansi-regex/readme.md
@@ -0,0 +1,78 @@
+# ansi-regex [![Build Status](https://travis-ci.org/chalk/ansi-regex.svg?branch=master)](https://travis-ci.org/chalk/ansi-regex)
+
+> Regular expression for matching [ANSI escape codes](https://en.wikipedia.org/wiki/ANSI_escape_code)
+
+
+## Install
+
+```
+$ npm install ansi-regex
+```
+
+
+## Usage
+
+```js
+const ansiRegex = require('ansi-regex');
+
+ansiRegex().test('\u001B[4mcake\u001B[0m');
+//=> true
+
+ansiRegex().test('cake');
+//=> false
+
+'\u001B[4mcake\u001B[0m'.match(ansiRegex());
+//=> ['\u001B[4m', '\u001B[0m']
+
+'\u001B[4mcake\u001B[0m'.match(ansiRegex({onlyFirst: true}));
+//=> ['\u001B[4m']
+
+'\u001B]8;;https://github.com\u0007click\u001B]8;;\u0007'.match(ansiRegex());
+//=> ['\u001B]8;;https://github.com\u0007', '\u001B]8;;\u0007']
+```
+
+
+## API
+
+### ansiRegex(options?)
+
+Returns a regex for matching ANSI escape codes.
+
+#### options
+
+Type: `object`
+
+##### onlyFirst
+
+Type: `boolean`<br>
+Default: `false` *(Matches any ANSI escape codes in a string)*
+
+Match only the first ANSI escape.
+
+
+## FAQ
+
+### Why do you test for codes not in the ECMA 48 standard?
+
+Some of the codes we run as a test are codes that we acquired finding various lists of non-standard or manufacturer specific codes. We test for both standard and non-standard codes, as most of them follow the same or similar format and can be safely matched in strings without the risk of removing actual string content. There are a few non-standard control codes that do not follow the traditional format (i.e. they end in numbers) thus forcing us to exclude them from the test because we cannot reliably match them.
+
+On the historical side, those ECMA standards were established in the early 90's whereas the VT100, for example, was designed in the mid/late 70's. At that point in time, control codes were still pretty ungoverned and engineers used them for a multitude of things, namely to activate hardware ports that may have been proprietary. Somewhere else you see a similar 'anarchy' of codes is in the x86 architecture for processors; there are a ton of "interrupts" that can mean different things on certain brands of processors, most of which have been phased out.
+
+
+## Maintainers
+
+- [Sindre Sorhus](https://github.com/sindresorhus)
+- [Josh Junon](https://github.com/qix-)
+
+
+---
+
+<div align="center">
+	<b>
+		<a href="https://tidelift.com/subscription/pkg/npm-ansi-regex?utm_source=npm-ansi-regex&utm_medium=referral&utm_campaign=readme">Get professional support for this package with a Tidelift subscription</a>
+	</b>
+	<br>
+	<sub>
+		Tidelift helps make open source sustainable for maintainers while giving companies<br>assurances about security, maintenance, and licensing for their dependencies.
+	</sub>
+</div>
diff --git a/node_modules/@jest/core/node_modules/ansi-styles/package.json b/node_modules/@jest/core/node_modules/ansi-styles/package.json
index 91022c6e1..f635e4fb9 100644
--- a/node_modules/@jest/core/node_modules/ansi-styles/package.json
+++ b/node_modules/@jest/core/node_modules/ansi-styles/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ansi-styles@4.2.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -23,11 +23,12 @@
     "fetchSpec": "4.2.1"
   },
   "_requiredBy": [
-    "/@jest/core/chalk"
+    "/@jest/core/chalk",
+    "/@jest/core/pretty-format"
   ],
   "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
   "_spec": "4.2.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/core/node_modules/chalk/package.json b/node_modules/@jest/core/node_modules/chalk/package.json
index 468d77ec1..93a1dd837 100644
--- a/node_modules/@jest/core/node_modules/chalk/package.json
+++ b/node_modules/@jest/core/node_modules/chalk/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "chalk@3.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -24,11 +24,15 @@
   },
   "_requiredBy": [
     "/@jest/core",
-    "/@jest/core/@jest/types"
+    "/@jest/core/@jest/types",
+    "/@jest/core/jest-config",
+    "/@jest/core/jest-jasmine2",
+    "/@jest/core/jest-runner",
+    "/@jest/core/jest-runtime"
   ],
   "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
   "_spec": "3.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/chalk/chalk/issues"
   },
diff --git a/node_modules/@jest/core/node_modules/color-convert/package.json b/node_modules/@jest/core/node_modules/color-convert/package.json
index 1d20e6e25..2073ce378 100644
--- a/node_modules/@jest/core/node_modules/color-convert/package.json
+++ b/node_modules/@jest/core/node_modules/color-convert/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-convert@2.0.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
   "_spec": "2.0.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Heather Arthur",
     "email": "fayearthur@gmail.com"
diff --git a/node_modules/@jest/core/node_modules/color-name/package.json b/node_modules/@jest/core/node_modules/color-name/package.json
index 16846162f..7af43cf8e 100644
--- a/node_modules/@jest/core/node_modules/color-name/package.json
+++ b/node_modules/@jest/core/node_modules/color-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-name@1.1.4",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
   "_spec": "1.1.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "DY",
     "email": "dfcreative@gmail.com"
diff --git a/node_modules/@jest/core/node_modules/graceful-fs/LICENSE b/node_modules/@jest/core/node_modules/graceful-fs/LICENSE
new file mode 100644
index 000000000..9d2c80369
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/graceful-fs/LICENSE
@@ -0,0 +1,15 @@
+The ISC License
+
+Copyright (c) Isaac Z. Schlueter, Ben Noordhuis, and Contributors
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted, provided that the above
+copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
+WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
+MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
+ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
+IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
diff --git a/node_modules/@jest/core/node_modules/graceful-fs/README.md b/node_modules/@jest/core/node_modules/graceful-fs/README.md
new file mode 100644
index 000000000..5273a50ad
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/graceful-fs/README.md
@@ -0,0 +1,133 @@
+# graceful-fs
+
+graceful-fs functions as a drop-in replacement for the fs module,
+making various improvements.
+
+The improvements are meant to normalize behavior across different
+platforms and environments, and to make filesystem access more
+resilient to errors.
+
+## Improvements over [fs module](https://nodejs.org/api/fs.html)
+
+* Queues up `open` and `readdir` calls, and retries them once
+  something closes if there is an EMFILE error from too many file
+  descriptors.
+* fixes `lchmod` for Node versions prior to 0.6.2.
+* implements `fs.lutimes` if possible. Otherwise it becomes a noop.
+* ignores `EINVAL` and `EPERM` errors in `chown`, `fchown` or
+  `lchown` if the user isn't root.
+* makes `lchmod` and `lchown` become noops, if not available.
+* retries reading a file if `read` results in EAGAIN error.
+
+On Windows, it retries renaming a file for up to one second if `EACCESS`
+or `EPERM` error occurs, likely because antivirus software has locked
+the directory.
+
+## USAGE
+
+```javascript
+// use just like fs
+var fs = require('graceful-fs')
+
+// now go and do stuff with it...
+fs.readFileSync('some-file-or-whatever')
+```
+
+## Global Patching
+
+If you want to patch the global fs module (or any other fs-like
+module) you can do this:
+
+```javascript
+// Make sure to read the caveat below.
+var realFs = require('fs')
+var gracefulFs = require('graceful-fs')
+gracefulFs.gracefulify(realFs)
+```
+
+This should only ever be done at the top-level application layer, in
+order to delay on EMFILE errors from any fs-using dependencies.  You
+should **not** do this in a library, because it can cause unexpected
+delays in other parts of the program.
+
+## Changes
+
+This module is fairly stable at this point, and used by a lot of
+things.  That being said, because it implements a subtle behavior
+change in a core part of the node API, even modest changes can be
+extremely breaking, and the versioning is thus biased towards
+bumping the major when in doubt.
+
+The main change between major versions has been switching between
+providing a fully-patched `fs` module vs monkey-patching the node core
+builtin, and the approach by which a non-monkey-patched `fs` was
+created.
+
+The goal is to trade `EMFILE` errors for slower fs operations.  So, if
+you try to open a zillion files, rather than crashing, `open`
+operations will be queued up and wait for something else to `close`.
+
+There are advantages to each approach.  Monkey-patching the fs means
+that no `EMFILE` errors can possibly occur anywhere in your
+application, because everything is using the same core `fs` module,
+which is patched.  However, it can also obviously cause undesirable
+side-effects, especially if the module is loaded multiple times.
+
+Implementing a separate-but-identical patched `fs` module is more
+surgical (and doesn't run the risk of patching multiple times), but
+also imposes the challenge of keeping in sync with the core module.
+
+The current approach loads the `fs` module, and then creates a
+lookalike object that has all the same methods, except a few that are
+patched.  It is safe to use in all versions of Node from 0.8 through
+7.0.
+
+### v4
+
+* Do not monkey-patch the fs module.  This module may now be used as a
+  drop-in dep, and users can opt into monkey-patching the fs builtin
+  if their app requires it.
+
+### v3
+
+* Monkey-patch fs, because the eval approach no longer works on recent
+  node.
+* fixed possible type-error throw if rename fails on windows
+* verify that we *never* get EMFILE errors
+* Ignore ENOSYS from chmod/chown
+* clarify that graceful-fs must be used as a drop-in
+
+### v2.1.0
+
+* Use eval rather than monkey-patching fs.
+* readdir: Always sort the results
+* win32: requeue a file if error has an OK status
+
+### v2.0
+
+* A return to monkey patching
+* wrap process.cwd
+
+### v1.1
+
+* wrap readFile
+* Wrap fs.writeFile.
+* readdir protection
+* Don't clobber the fs builtin
+* Handle fs.read EAGAIN errors by trying again
+* Expose the curOpen counter
+* No-op lchown/lchmod if not implemented
+* fs.rename patch only for win32
+* Patch fs.rename to handle AV software on Windows
+* Close #4 Chown should not fail on einval or eperm if non-root
+* Fix isaacs/fstream#1 Only wrap fs one time
+* Fix #3 Start at 1024 max files, then back off on EMFILE
+* lutimes that doens't blow up on Linux
+* A full on-rewrite using a queue instead of just swallowing the EMFILE error
+* Wrap Read/Write streams as well
+
+### 1.0
+
+* Update engines for node 0.6
+* Be lstat-graceful on Windows
+* first
diff --git a/node_modules/@jest/core/node_modules/graceful-fs/clone.js b/node_modules/@jest/core/node_modules/graceful-fs/clone.js
new file mode 100644
index 000000000..028356c96
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/graceful-fs/clone.js
@@ -0,0 +1,19 @@
+'use strict'
+
+module.exports = clone
+
+function clone (obj) {
+  if (obj === null || typeof obj !== 'object')
+    return obj
+
+  if (obj instanceof Object)
+    var copy = { __proto__: obj.__proto__ }
+  else
+    var copy = Object.create(null)
+
+  Object.getOwnPropertyNames(obj).forEach(function (key) {
+    Object.defineProperty(copy, key, Object.getOwnPropertyDescriptor(obj, key))
+  })
+
+  return copy
+}
diff --git a/node_modules/@jest/core/node_modules/graceful-fs/graceful-fs.js b/node_modules/@jest/core/node_modules/graceful-fs/graceful-fs.js
new file mode 100644
index 000000000..de3df47fd
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/graceful-fs/graceful-fs.js
@@ -0,0 +1,354 @@
+var fs = require('fs')
+var polyfills = require('./polyfills.js')
+var legacy = require('./legacy-streams.js')
+var clone = require('./clone.js')
+
+var util = require('util')
+
+/* istanbul ignore next - node 0.x polyfill */
+var gracefulQueue
+var previousSymbol
+
+/* istanbul ignore else - node 0.x polyfill */
+if (typeof Symbol === 'function' && typeof Symbol.for === 'function') {
+  gracefulQueue = Symbol.for('graceful-fs.queue')
+  // This is used in testing by future versions
+  previousSymbol = Symbol.for('graceful-fs.previous')
+} else {
+  gracefulQueue = '___graceful-fs.queue'
+  previousSymbol = '___graceful-fs.previous'
+}
+
+function noop () {}
+
+function publishQueue(context, queue) {
+  Object.defineProperty(context, gracefulQueue, {
+    get: function() {
+      return queue
+    }
+  })
+}
+
+var debug = noop
+if (util.debuglog)
+  debug = util.debuglog('gfs4')
+else if (/\bgfs4\b/i.test(process.env.NODE_DEBUG || ''))
+  debug = function() {
+    var m = util.format.apply(util, arguments)
+    m = 'GFS4: ' + m.split(/\n/).join('\nGFS4: ')
+    console.error(m)
+  }
+
+// Once time initialization
+if (!fs[gracefulQueue]) {
+  // This queue can be shared by multiple loaded instances
+  var queue = global[gracefulQueue] || []
+  publishQueue(fs, queue)
+
+  // Patch fs.close/closeSync to shared queue version, because we need
+  // to retry() whenever a close happens *anywhere* in the program.
+  // This is essential when multiple graceful-fs instances are
+  // in play at the same time.
+  fs.close = (function (fs$close) {
+    function close (fd, cb) {
+      return fs$close.call(fs, fd, function (err) {
+        // This function uses the graceful-fs shared queue
+        if (!err) {
+          retry()
+        }
+
+        if (typeof cb === 'function')
+          cb.apply(this, arguments)
+      })
+    }
+
+    Object.defineProperty(close, previousSymbol, {
+      value: fs$close
+    })
+    return close
+  })(fs.close)
+
+  fs.closeSync = (function (fs$closeSync) {
+    function closeSync (fd) {
+      // This function uses the graceful-fs shared queue
+      fs$closeSync.apply(fs, arguments)
+      retry()
+    }
+
+    Object.defineProperty(closeSync, previousSymbol, {
+      value: fs$closeSync
+    })
+    return closeSync
+  })(fs.closeSync)
+
+  if (/\bgfs4\b/i.test(process.env.NODE_DEBUG || '')) {
+    process.on('exit', function() {
+      debug(fs[gracefulQueue])
+      require('assert').equal(fs[gracefulQueue].length, 0)
+    })
+  }
+}
+
+if (!global[gracefulQueue]) {
+  publishQueue(global, fs[gracefulQueue]);
+}
+
+module.exports = patch(clone(fs))
+if (process.env.TEST_GRACEFUL_FS_GLOBAL_PATCH && !fs.__patched) {
+    module.exports = patch(fs)
+    fs.__patched = true;
+}
+
+function patch (fs) {
+  // Everything that references the open() function needs to be in here
+  polyfills(fs)
+  fs.gracefulify = patch
+
+  fs.createReadStream = createReadStream
+  fs.createWriteStream = createWriteStream
+  var fs$readFile = fs.readFile
+  fs.readFile = readFile
+  function readFile (path, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$readFile(path, options, cb)
+
+    function go$readFile (path, options, cb) {
+      return fs$readFile(path, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$readFile, [path, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$writeFile = fs.writeFile
+  fs.writeFile = writeFile
+  function writeFile (path, data, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$writeFile(path, data, options, cb)
+
+    function go$writeFile (path, data, options, cb) {
+      return fs$writeFile(path, data, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$writeFile, [path, data, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$appendFile = fs.appendFile
+  if (fs$appendFile)
+    fs.appendFile = appendFile
+  function appendFile (path, data, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$appendFile(path, data, options, cb)
+
+    function go$appendFile (path, data, options, cb) {
+      return fs$appendFile(path, data, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$appendFile, [path, data, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$readdir = fs.readdir
+  fs.readdir = readdir
+  function readdir (path, options, cb) {
+    var args = [path]
+    if (typeof options !== 'function') {
+      args.push(options)
+    } else {
+      cb = options
+    }
+    args.push(go$readdir$cb)
+
+    return go$readdir(args)
+
+    function go$readdir$cb (err, files) {
+      if (files && files.sort)
+        files.sort()
+
+      if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+        enqueue([go$readdir, [args]])
+
+      else {
+        if (typeof cb === 'function')
+          cb.apply(this, arguments)
+        retry()
+      }
+    }
+  }
+
+  function go$readdir (args) {
+    return fs$readdir.apply(fs, args)
+  }
+
+  if (process.version.substr(0, 4) === 'v0.8') {
+    var legStreams = legacy(fs)
+    ReadStream = legStreams.ReadStream
+    WriteStream = legStreams.WriteStream
+  }
+
+  var fs$ReadStream = fs.ReadStream
+  if (fs$ReadStream) {
+    ReadStream.prototype = Object.create(fs$ReadStream.prototype)
+    ReadStream.prototype.open = ReadStream$open
+  }
+
+  var fs$WriteStream = fs.WriteStream
+  if (fs$WriteStream) {
+    WriteStream.prototype = Object.create(fs$WriteStream.prototype)
+    WriteStream.prototype.open = WriteStream$open
+  }
+
+  Object.defineProperty(fs, 'ReadStream', {
+    get: function () {
+      return ReadStream
+    },
+    set: function (val) {
+      ReadStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+  Object.defineProperty(fs, 'WriteStream', {
+    get: function () {
+      return WriteStream
+    },
+    set: function (val) {
+      WriteStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+
+  // legacy names
+  var FileReadStream = ReadStream
+  Object.defineProperty(fs, 'FileReadStream', {
+    get: function () {
+      return FileReadStream
+    },
+    set: function (val) {
+      FileReadStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+  var FileWriteStream = WriteStream
+  Object.defineProperty(fs, 'FileWriteStream', {
+    get: function () {
+      return FileWriteStream
+    },
+    set: function (val) {
+      FileWriteStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+
+  function ReadStream (path, options) {
+    if (this instanceof ReadStream)
+      return fs$ReadStream.apply(this, arguments), this
+    else
+      return ReadStream.apply(Object.create(ReadStream.prototype), arguments)
+  }
+
+  function ReadStream$open () {
+    var that = this
+    open(that.path, that.flags, that.mode, function (err, fd) {
+      if (err) {
+        if (that.autoClose)
+          that.destroy()
+
+        that.emit('error', err)
+      } else {
+        that.fd = fd
+        that.emit('open', fd)
+        that.read()
+      }
+    })
+  }
+
+  function WriteStream (path, options) {
+    if (this instanceof WriteStream)
+      return fs$WriteStream.apply(this, arguments), this
+    else
+      return WriteStream.apply(Object.create(WriteStream.prototype), arguments)
+  }
+
+  function WriteStream$open () {
+    var that = this
+    open(that.path, that.flags, that.mode, function (err, fd) {
+      if (err) {
+        that.destroy()
+        that.emit('error', err)
+      } else {
+        that.fd = fd
+        that.emit('open', fd)
+      }
+    })
+  }
+
+  function createReadStream (path, options) {
+    return new fs.ReadStream(path, options)
+  }
+
+  function createWriteStream (path, options) {
+    return new fs.WriteStream(path, options)
+  }
+
+  var fs$open = fs.open
+  fs.open = open
+  function open (path, flags, mode, cb) {
+    if (typeof mode === 'function')
+      cb = mode, mode = null
+
+    return go$open(path, flags, mode, cb)
+
+    function go$open (path, flags, mode, cb) {
+      return fs$open(path, flags, mode, function (err, fd) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$open, [path, flags, mode, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  return fs
+}
+
+function enqueue (elem) {
+  debug('ENQUEUE', elem[0].name, elem[1])
+  fs[gracefulQueue].push(elem)
+}
+
+function retry () {
+  var elem = fs[gracefulQueue].shift()
+  if (elem) {
+    debug('RETRY', elem[0].name, elem[1])
+    elem[0].apply(null, elem[1])
+  }
+}
diff --git a/node_modules/@jest/core/node_modules/graceful-fs/legacy-streams.js b/node_modules/@jest/core/node_modules/graceful-fs/legacy-streams.js
new file mode 100644
index 000000000..d617b50fc
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/graceful-fs/legacy-streams.js
@@ -0,0 +1,118 @@
+var Stream = require('stream').Stream
+
+module.exports = legacy
+
+function legacy (fs) {
+  return {
+    ReadStream: ReadStream,
+    WriteStream: WriteStream
+  }
+
+  function ReadStream (path, options) {
+    if (!(this instanceof ReadStream)) return new ReadStream(path, options);
+
+    Stream.call(this);
+
+    var self = this;
+
+    this.path = path;
+    this.fd = null;
+    this.readable = true;
+    this.paused = false;
+
+    this.flags = 'r';
+    this.mode = 438; /*=0666*/
+    this.bufferSize = 64 * 1024;
+
+    options = options || {};
+
+    // Mixin options into this
+    var keys = Object.keys(options);
+    for (var index = 0, length = keys.length; index < length; index++) {
+      var key = keys[index];
+      this[key] = options[key];
+    }
+
+    if (this.encoding) this.setEncoding(this.encoding);
+
+    if (this.start !== undefined) {
+      if ('number' !== typeof this.start) {
+        throw TypeError('start must be a Number');
+      }
+      if (this.end === undefined) {
+        this.end = Infinity;
+      } else if ('number' !== typeof this.end) {
+        throw TypeError('end must be a Number');
+      }
+
+      if (this.start > this.end) {
+        throw new Error('start must be <= end');
+      }
+
+      this.pos = this.start;
+    }
+
+    if (this.fd !== null) {
+      process.nextTick(function() {
+        self._read();
+      });
+      return;
+    }
+
+    fs.open(this.path, this.flags, this.mode, function (err, fd) {
+      if (err) {
+        self.emit('error', err);
+        self.readable = false;
+        return;
+      }
+
+      self.fd = fd;
+      self.emit('open', fd);
+      self._read();
+    })
+  }
+
+  function WriteStream (path, options) {
+    if (!(this instanceof WriteStream)) return new WriteStream(path, options);
+
+    Stream.call(this);
+
+    this.path = path;
+    this.fd = null;
+    this.writable = true;
+
+    this.flags = 'w';
+    this.encoding = 'binary';
+    this.mode = 438; /*=0666*/
+    this.bytesWritten = 0;
+
+    options = options || {};
+
+    // Mixin options into this
+    var keys = Object.keys(options);
+    for (var index = 0, length = keys.length; index < length; index++) {
+      var key = keys[index];
+      this[key] = options[key];
+    }
+
+    if (this.start !== undefined) {
+      if ('number' !== typeof this.start) {
+        throw TypeError('start must be a Number');
+      }
+      if (this.start < 0) {
+        throw new Error('start must be >= zero');
+      }
+
+      this.pos = this.start;
+    }
+
+    this.busy = false;
+    this._queue = [];
+
+    if (this.fd === null) {
+      this._open = fs.open;
+      this._queue.push([this._open, this.path, this.flags, this.mode, undefined]);
+      this.flush();
+    }
+  }
+}
diff --git a/node_modules/@jest/core/node_modules/graceful-fs/package.json b/node_modules/@jest/core/node_modules/graceful-fs/package.json
new file mode 100644
index 000000000..2b190323d
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/graceful-fs/package.json
@@ -0,0 +1,87 @@
+{
+  "_args": [
+    [
+      "graceful-fs@4.2.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "graceful-fs@4.2.4",
+  "_id": "graceful-fs@4.2.4",
+  "_inBundle": false,
+  "_integrity": "sha512-WjKPNJF79dtJAVniUlGGWHYGz2jWxT6VhN/4m1NdkbZ2nOsEF+cI1Edgql5zCRhs/VsQYRvrXctxktVXZUkixw==",
+  "_location": "/@jest/core/graceful-fs",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "graceful-fs@4.2.4",
+    "name": "graceful-fs",
+    "escapedName": "graceful-fs",
+    "rawSpec": "4.2.4",
+    "saveSpec": null,
+    "fetchSpec": "4.2.4"
+  },
+  "_requiredBy": [
+    "/@jest/core",
+    "/@jest/core/@jest/test-sequencer",
+    "/@jest/core/jest-config",
+    "/@jest/core/jest-runner",
+    "/@jest/core/jest-runtime"
+  ],
+  "_resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.4.tgz",
+  "_spec": "4.2.4",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/isaacs/node-graceful-fs/issues"
+  },
+  "dependencies": {},
+  "description": "A drop-in replacement for fs, making various improvements.",
+  "devDependencies": {
+    "import-fresh": "^2.0.0",
+    "mkdirp": "^0.5.0",
+    "rimraf": "^2.2.8",
+    "tap": "^12.7.0"
+  },
+  "directories": {
+    "test": "test"
+  },
+  "files": [
+    "fs.js",
+    "graceful-fs.js",
+    "legacy-streams.js",
+    "polyfills.js",
+    "clone.js"
+  ],
+  "homepage": "https://github.com/isaacs/node-graceful-fs#readme",
+  "keywords": [
+    "fs",
+    "module",
+    "reading",
+    "retry",
+    "retries",
+    "queue",
+    "error",
+    "errors",
+    "handling",
+    "EMFILE",
+    "EAGAIN",
+    "EINVAL",
+    "EPERM",
+    "EACCESS"
+  ],
+  "license": "ISC",
+  "main": "graceful-fs.js",
+  "name": "graceful-fs",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/isaacs/node-graceful-fs.git"
+  },
+  "scripts": {
+    "postpublish": "git push origin --follow-tags",
+    "postversion": "npm publish",
+    "preversion": "npm test",
+    "test": "node test.js | tap -"
+  },
+  "version": "4.2.4"
+}
diff --git a/node_modules/@jest/core/node_modules/graceful-fs/polyfills.js b/node_modules/@jest/core/node_modules/graceful-fs/polyfills.js
new file mode 100644
index 000000000..a5808d23f
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/graceful-fs/polyfills.js
@@ -0,0 +1,342 @@
+var constants = require('constants')
+
+var origCwd = process.cwd
+var cwd = null
+
+var platform = process.env.GRACEFUL_FS_PLATFORM || process.platform
+
+process.cwd = function() {
+  if (!cwd)
+    cwd = origCwd.call(process)
+  return cwd
+}
+try {
+  process.cwd()
+} catch (er) {}
+
+var chdir = process.chdir
+process.chdir = function(d) {
+  cwd = null
+  chdir.call(process, d)
+}
+
+module.exports = patch
+
+function patch (fs) {
+  // (re-)implement some things that are known busted or missing.
+
+  // lchmod, broken prior to 0.6.2
+  // back-port the fix here.
+  if (constants.hasOwnProperty('O_SYMLINK') &&
+      process.version.match(/^v0\.6\.[0-2]|^v0\.5\./)) {
+    patchLchmod(fs)
+  }
+
+  // lutimes implementation, or no-op
+  if (!fs.lutimes) {
+    patchLutimes(fs)
+  }
+
+  // https://github.com/isaacs/node-graceful-fs/issues/4
+  // Chown should not fail on einval or eperm if non-root.
+  // It should not fail on enosys ever, as this just indicates
+  // that a fs doesn't support the intended operation.
+
+  fs.chown = chownFix(fs.chown)
+  fs.fchown = chownFix(fs.fchown)
+  fs.lchown = chownFix(fs.lchown)
+
+  fs.chmod = chmodFix(fs.chmod)
+  fs.fchmod = chmodFix(fs.fchmod)
+  fs.lchmod = chmodFix(fs.lchmod)
+
+  fs.chownSync = chownFixSync(fs.chownSync)
+  fs.fchownSync = chownFixSync(fs.fchownSync)
+  fs.lchownSync = chownFixSync(fs.lchownSync)
+
+  fs.chmodSync = chmodFixSync(fs.chmodSync)
+  fs.fchmodSync = chmodFixSync(fs.fchmodSync)
+  fs.lchmodSync = chmodFixSync(fs.lchmodSync)
+
+  fs.stat = statFix(fs.stat)
+  fs.fstat = statFix(fs.fstat)
+  fs.lstat = statFix(fs.lstat)
+
+  fs.statSync = statFixSync(fs.statSync)
+  fs.fstatSync = statFixSync(fs.fstatSync)
+  fs.lstatSync = statFixSync(fs.lstatSync)
+
+  // if lchmod/lchown do not exist, then make them no-ops
+  if (!fs.lchmod) {
+    fs.lchmod = function (path, mode, cb) {
+      if (cb) process.nextTick(cb)
+    }
+    fs.lchmodSync = function () {}
+  }
+  if (!fs.lchown) {
+    fs.lchown = function (path, uid, gid, cb) {
+      if (cb) process.nextTick(cb)
+    }
+    fs.lchownSync = function () {}
+  }
+
+  // on Windows, A/V software can lock the directory, causing this
+  // to fail with an EACCES or EPERM if the directory contains newly
+  // created files.  Try again on failure, for up to 60 seconds.
+
+  // Set the timeout this long because some Windows Anti-Virus, such as Parity
+  // bit9, may lock files for up to a minute, causing npm package install
+  // failures. Also, take care to yield the scheduler. Windows scheduling gives
+  // CPU to a busy looping process, which can cause the program causing the lock
+  // contention to be starved of CPU by node, so the contention doesn't resolve.
+  if (platform === "win32") {
+    fs.rename = (function (fs$rename) { return function (from, to, cb) {
+      var start = Date.now()
+      var backoff = 0;
+      fs$rename(from, to, function CB (er) {
+        if (er
+            && (er.code === "EACCES" || er.code === "EPERM")
+            && Date.now() - start < 60000) {
+          setTimeout(function() {
+            fs.stat(to, function (stater, st) {
+              if (stater && stater.code === "ENOENT")
+                fs$rename(from, to, CB);
+              else
+                cb(er)
+            })
+          }, backoff)
+          if (backoff < 100)
+            backoff += 10;
+          return;
+        }
+        if (cb) cb(er)
+      })
+    }})(fs.rename)
+  }
+
+  // if read() returns EAGAIN, then just try it again.
+  fs.read = (function (fs$read) {
+    function read (fd, buffer, offset, length, position, callback_) {
+      var callback
+      if (callback_ && typeof callback_ === 'function') {
+        var eagCounter = 0
+        callback = function (er, _, __) {
+          if (er && er.code === 'EAGAIN' && eagCounter < 10) {
+            eagCounter ++
+            return fs$read.call(fs, fd, buffer, offset, length, position, callback)
+          }
+          callback_.apply(this, arguments)
+        }
+      }
+      return fs$read.call(fs, fd, buffer, offset, length, position, callback)
+    }
+
+    // This ensures `util.promisify` works as it does for native `fs.read`.
+    read.__proto__ = fs$read
+    return read
+  })(fs.read)
+
+  fs.readSync = (function (fs$readSync) { return function (fd, buffer, offset, length, position) {
+    var eagCounter = 0
+    while (true) {
+      try {
+        return fs$readSync.call(fs, fd, buffer, offset, length, position)
+      } catch (er) {
+        if (er.code === 'EAGAIN' && eagCounter < 10) {
+          eagCounter ++
+          continue
+        }
+        throw er
+      }
+    }
+  }})(fs.readSync)
+
+  function patchLchmod (fs) {
+    fs.lchmod = function (path, mode, callback) {
+      fs.open( path
+             , constants.O_WRONLY | constants.O_SYMLINK
+             , mode
+             , function (err, fd) {
+        if (err) {
+          if (callback) callback(err)
+          return
+        }
+        // prefer to return the chmod error, if one occurs,
+        // but still try to close, and report closing errors if they occur.
+        fs.fchmod(fd, mode, function (err) {
+          fs.close(fd, function(err2) {
+            if (callback) callback(err || err2)
+          })
+        })
+      })
+    }
+
+    fs.lchmodSync = function (path, mode) {
+      var fd = fs.openSync(path, constants.O_WRONLY | constants.O_SYMLINK, mode)
+
+      // prefer to return the chmod error, if one occurs,
+      // but still try to close, and report closing errors if they occur.
+      var threw = true
+      var ret
+      try {
+        ret = fs.fchmodSync(fd, mode)
+        threw = false
+      } finally {
+        if (threw) {
+          try {
+            fs.closeSync(fd)
+          } catch (er) {}
+        } else {
+          fs.closeSync(fd)
+        }
+      }
+      return ret
+    }
+  }
+
+  function patchLutimes (fs) {
+    if (constants.hasOwnProperty("O_SYMLINK")) {
+      fs.lutimes = function (path, at, mt, cb) {
+        fs.open(path, constants.O_SYMLINK, function (er, fd) {
+          if (er) {
+            if (cb) cb(er)
+            return
+          }
+          fs.futimes(fd, at, mt, function (er) {
+            fs.close(fd, function (er2) {
+              if (cb) cb(er || er2)
+            })
+          })
+        })
+      }
+
+      fs.lutimesSync = function (path, at, mt) {
+        var fd = fs.openSync(path, constants.O_SYMLINK)
+        var ret
+        var threw = true
+        try {
+          ret = fs.futimesSync(fd, at, mt)
+          threw = false
+        } finally {
+          if (threw) {
+            try {
+              fs.closeSync(fd)
+            } catch (er) {}
+          } else {
+            fs.closeSync(fd)
+          }
+        }
+        return ret
+      }
+
+    } else {
+      fs.lutimes = function (_a, _b, _c, cb) { if (cb) process.nextTick(cb) }
+      fs.lutimesSync = function () {}
+    }
+  }
+
+  function chmodFix (orig) {
+    if (!orig) return orig
+    return function (target, mode, cb) {
+      return orig.call(fs, target, mode, function (er) {
+        if (chownErOk(er)) er = null
+        if (cb) cb.apply(this, arguments)
+      })
+    }
+  }
+
+  function chmodFixSync (orig) {
+    if (!orig) return orig
+    return function (target, mode) {
+      try {
+        return orig.call(fs, target, mode)
+      } catch (er) {
+        if (!chownErOk(er)) throw er
+      }
+    }
+  }
+
+
+  function chownFix (orig) {
+    if (!orig) return orig
+    return function (target, uid, gid, cb) {
+      return orig.call(fs, target, uid, gid, function (er) {
+        if (chownErOk(er)) er = null
+        if (cb) cb.apply(this, arguments)
+      })
+    }
+  }
+
+  function chownFixSync (orig) {
+    if (!orig) return orig
+    return function (target, uid, gid) {
+      try {
+        return orig.call(fs, target, uid, gid)
+      } catch (er) {
+        if (!chownErOk(er)) throw er
+      }
+    }
+  }
+
+  function statFix (orig) {
+    if (!orig) return orig
+    // Older versions of Node erroneously returned signed integers for
+    // uid + gid.
+    return function (target, options, cb) {
+      if (typeof options === 'function') {
+        cb = options
+        options = null
+      }
+      function callback (er, stats) {
+        if (stats) {
+          if (stats.uid < 0) stats.uid += 0x100000000
+          if (stats.gid < 0) stats.gid += 0x100000000
+        }
+        if (cb) cb.apply(this, arguments)
+      }
+      return options ? orig.call(fs, target, options, callback)
+        : orig.call(fs, target, callback)
+    }
+  }
+
+  function statFixSync (orig) {
+    if (!orig) return orig
+    // Older versions of Node erroneously returned signed integers for
+    // uid + gid.
+    return function (target, options) {
+      var stats = options ? orig.call(fs, target, options)
+        : orig.call(fs, target)
+      if (stats.uid < 0) stats.uid += 0x100000000
+      if (stats.gid < 0) stats.gid += 0x100000000
+      return stats;
+    }
+  }
+
+  // ENOSYS means that the fs doesn't support the op. Just ignore
+  // that, because it doesn't matter.
+  //
+  // if there's no getuid, or if getuid() is something other
+  // than 0, and the error is EINVAL or EPERM, then just ignore
+  // it.
+  //
+  // This specific case is a silent failure in cp, install, tar,
+  // and most other unix tools that manage permissions.
+  //
+  // When running as root, or if other types of errors are
+  // encountered, then it's strict.
+  function chownErOk (er) {
+    if (!er)
+      return true
+
+    if (er.code === "ENOSYS")
+      return true
+
+    var nonroot = !process.getuid || process.getuid() !== 0
+    if (nonroot) {
+      if (er.code === "EINVAL" || er.code === "EPERM")
+        return true
+    }
+
+    return false
+  }
+}
diff --git a/node_modules/@jest/core/node_modules/has-flag/package.json b/node_modules/@jest/core/node_modules/has-flag/package.json
index 167c52818..e52985684 100644
--- a/node_modules/@jest/core/node_modules/has-flag/package.json
+++ b/node_modules/@jest/core/node_modules/has-flag/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "has-flag@4.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/babel-preset-jest/node_modules/babel-plugin-jest-hoist/LICENSE b/node_modules/@jest/core/node_modules/jest-config/LICENSE
similarity index 100%
rename from node_modules/babel-preset-jest/node_modules/babel-plugin-jest-hoist/LICENSE
rename to node_modules/@jest/core/node_modules/jest-config/LICENSE
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/Defaults.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/Defaults.d.ts
new file mode 100644
index 000000000..8a26ee6ec
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/Defaults.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+declare const defaultOptions: Config.DefaultOptions;
+export default defaultOptions;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/Defaults.js b/node_modules/@jest/core/node_modules/jest-config/build/Defaults.js
new file mode 100644
index 000000000..c3e1a44c5
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/Defaults.js
@@ -0,0 +1,94 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _jestRegexUtil() {
+  const data = require('jest-regex-util');
+
+  _jestRegexUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _constants = require('./constants');
+
+var _getCacheDirectory = _interopRequireDefault(require('./getCacheDirectory'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const NODE_MODULES_REGEXP = (0, _jestRegexUtil().replacePathSepForRegex)(
+  _constants.NODE_MODULES
+);
+const defaultOptions = {
+  automock: false,
+  bail: 0,
+  browser: false,
+  cache: true,
+  cacheDirectory: (0, _getCacheDirectory.default)(),
+  changedFilesWithAncestor: false,
+  clearMocks: false,
+  collectCoverage: false,
+  coveragePathIgnorePatterns: [NODE_MODULES_REGEXP],
+  coverageProvider: 'babel',
+  coverageReporters: ['json', 'text', 'lcov', 'clover'],
+  errorOnDeprecated: false,
+  expand: false,
+  forceCoverageMatch: [],
+  globals: {},
+  haste: {
+    computeSha1: false,
+    providesModuleNodeModules: [],
+    throwOnModuleCollision: false
+  },
+  maxConcurrency: 5,
+  maxWorkers: '50%',
+  moduleDirectories: ['node_modules'],
+  moduleFileExtensions: ['js', 'json', 'jsx', 'ts', 'tsx', 'node'],
+  moduleNameMapper: {},
+  modulePathIgnorePatterns: [],
+  noStackTrace: false,
+  notify: false,
+  notifyMode: 'failure-change',
+  prettierPath: 'prettier',
+  resetMocks: false,
+  resetModules: false,
+  restoreMocks: false,
+  roots: ['<rootDir>'],
+  runTestsByPath: false,
+  runner: 'jest-runner',
+  setupFiles: [],
+  setupFilesAfterEnv: [],
+  skipFilter: false,
+  snapshotSerializers: [],
+  testEnvironment: 'jest-environment-jsdom',
+  testEnvironmentOptions: {},
+  testFailureExitCode: 1,
+  testLocationInResults: false,
+  testMatch: ['**/__tests__/**/*.[jt]s?(x)', '**/?(*.)+(spec|test).[tj]s?(x)'],
+  testPathIgnorePatterns: [NODE_MODULES_REGEXP],
+  testRegex: [],
+  testRunner: 'jasmine2',
+  testSequencer: '@jest/test-sequencer',
+  testURL: 'http://localhost',
+  timers: 'real',
+  transformIgnorePatterns: [NODE_MODULES_REGEXP],
+  useStderr: false,
+  watch: false,
+  watchPathIgnorePatterns: [],
+  watchman: true
+};
+var _default = defaultOptions;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/Deprecated.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/Deprecated.d.ts
new file mode 100644
index 000000000..58f67ccbb
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/Deprecated.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare const _default: Record<string, Function>;
+export default _default;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/Deprecated.js b/node_modules/@jest/core/node_modules/jest-config/build/Deprecated.js
new file mode 100644
index 000000000..44031b124
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/Deprecated.js
@@ -0,0 +1,98 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _prettyFormat() {
+  const data = _interopRequireDefault(require('pretty-format'));
+
+  _prettyFormat = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const format = value =>
+  (0, _prettyFormat().default)(value, {
+    min: true
+  });
+
+var _default = {
+  mapCoverage: () => `  Option ${_chalk().default.bold(
+    '"mapCoverage"'
+  )} has been removed, as it's no longer necessary.
+
+  Please update your configuration.`,
+  preprocessorIgnorePatterns: options => `  Option ${_chalk().default.bold(
+    '"preprocessorIgnorePatterns"'
+  )} was replaced by ${_chalk().default.bold(
+    '"transformIgnorePatterns"'
+  )}, which support multiple preprocessors.
+
+  Jest now treats your current configuration as:
+  {
+    ${_chalk().default.bold(
+      '"transformIgnorePatterns"'
+    )}: ${_chalk().default.bold(format(options.preprocessorIgnorePatterns))}
+  }
+
+  Please update your configuration.`,
+  scriptPreprocessor: options => `  Option ${_chalk().default.bold(
+    '"scriptPreprocessor"'
+  )} was replaced by ${_chalk().default.bold(
+    '"transform"'
+  )}, which support multiple preprocessors.
+
+  Jest now treats your current configuration as:
+  {
+    ${_chalk().default.bold('"transform"')}: ${_chalk().default.bold(
+    `{".*": ${format(options.scriptPreprocessor)}}`
+  )}
+  }
+
+  Please update your configuration.`,
+  setupTestFrameworkScriptFile: _options => `  Option ${_chalk().default.bold(
+    '"setupTestFrameworkScriptFile"'
+  )} was replaced by configuration ${_chalk().default.bold(
+    '"setupFilesAfterEnv"'
+  )}, which supports multiple paths.
+
+  Please update your configuration.`,
+  testPathDirs: options => `  Option ${_chalk().default.bold(
+    '"testPathDirs"'
+  )} was replaced by ${_chalk().default.bold('"roots"')}.
+
+  Jest now treats your current configuration as:
+  {
+    ${_chalk().default.bold('"roots"')}: ${_chalk().default.bold(
+    format(options.testPathDirs)
+  )}
+  }
+
+  Please update your configuration.
+  `
+};
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/Descriptions.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/Descriptions.d.ts
new file mode 100644
index 000000000..acf6e3b67
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/Descriptions.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+declare const descriptions: {
+    [key in keyof Config.InitialOptions]: string;
+};
+export default descriptions;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/Descriptions.js b/node_modules/@jest/core/node_modules/jest-config/build/Descriptions.js
new file mode 100644
index 000000000..bcdf116f2
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/Descriptions.js
@@ -0,0 +1,102 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const descriptions = {
+  automock: 'All imported modules in your tests should be mocked automatically',
+  bail: 'Stop running tests after `n` failures',
+  browser: 'Respect "browser" field in package.json when resolving modules',
+  cacheDirectory:
+    'The directory where Jest should store its cached dependency information',
+  clearMocks: 'Automatically clear mock calls and instances between every test',
+  collectCoverage:
+    'Indicates whether the coverage information should be collected while executing the test',
+  collectCoverageFrom:
+    'An array of glob patterns indicating a set of files for which coverage information should be collected',
+  coverageDirectory:
+    'The directory where Jest should output its coverage files',
+  coveragePathIgnorePatterns:
+    'An array of regexp pattern strings used to skip coverage collection',
+  coverageReporters:
+    'A list of reporter names that Jest uses when writing coverage reports',
+  coverageThreshold:
+    'An object that configures minimum threshold enforcement for coverage results',
+  dependencyExtractor: 'A path to a custom dependency extractor',
+  errorOnDeprecated:
+    'Make calling deprecated APIs throw helpful error messages',
+  forceCoverageMatch:
+    'Force coverage collection from ignored files using an array of glob patterns',
+  globalSetup:
+    'A path to a module which exports an async function that is triggered once before all test suites',
+  globalTeardown:
+    'A path to a module which exports an async function that is triggered once after all test suites',
+  globals:
+    'A set of global variables that need to be available in all test environments',
+  maxWorkers:
+    'The maximum amount of workers used to run your tests. Can be specified as % or a number. E.g. maxWorkers: 10% will use 10% of your CPU amount + 1 as the maximum worker number. maxWorkers: 2 will use a maximum of 2 workers.',
+  moduleDirectories:
+    "An array of directory names to be searched recursively up from the requiring module's location",
+  moduleFileExtensions: 'An array of file extensions your modules use',
+  moduleNameMapper:
+    'A map from regular expressions to module names or to arrays of module names that allow to stub out resources with a single module',
+  modulePathIgnorePatterns:
+    "An array of regexp pattern strings, matched against all module paths before considered 'visible' to the module loader",
+  notify: 'Activates notifications for test results',
+  notifyMode:
+    'An enum that specifies notification mode. Requires { notify: true }',
+  preset: "A preset that is used as a base for Jest's configuration",
+  projects: 'Run tests from one or more projects',
+  reporters: 'Use this configuration option to add custom reporters to Jest',
+  resetMocks: 'Automatically reset mock state between every test',
+  resetModules: 'Reset the module registry before running each individual test',
+  resolver: 'A path to a custom resolver',
+  restoreMocks: 'Automatically restore mock state between every test',
+  rootDir:
+    'The root directory that Jest should scan for tests and modules within',
+  roots:
+    'A list of paths to directories that Jest should use to search for files in',
+  runner:
+    "Allows you to use a custom runner instead of Jest's default test runner",
+  setupFiles:
+    'The paths to modules that run some code to configure or set up the testing environment before each test',
+  setupFilesAfterEnv:
+    'A list of paths to modules that run some code to configure or set up the testing framework before each test',
+  snapshotSerializers:
+    'A list of paths to snapshot serializer modules Jest should use for snapshot testing',
+  testEnvironment: 'The test environment that will be used for testing',
+  testEnvironmentOptions: 'Options that will be passed to the testEnvironment',
+  testLocationInResults: 'Adds a location field to test results',
+  testMatch: 'The glob patterns Jest uses to detect test files',
+  testPathIgnorePatterns:
+    'An array of regexp pattern strings that are matched against all test paths, matched tests are skipped',
+  testRegex:
+    'The regexp pattern or array of patterns that Jest uses to detect test files',
+  testResultsProcessor:
+    'This option allows the use of a custom results processor',
+  testRunner: 'This option allows use of a custom test runner',
+  testURL:
+    'This option sets the URL for the jsdom environment. It is reflected in properties such as location.href',
+  timers:
+    'Setting this value to "fake" allows the use of fake timers for functions such as "setTimeout"',
+  transform: 'A map from regular expressions to paths to transformers',
+  transformIgnorePatterns:
+    'An array of regexp pattern strings that are matched against all source file paths, matched files will skip transformation',
+  unmockedModulePathPatterns:
+    'An array of regexp pattern strings that are matched against all modules before the module loader will automatically return a mock for them',
+  verbose:
+    'Indicates whether each individual test should be reported during the run',
+  watchPathIgnorePatterns:
+    'An array of regexp patterns that are matched against all source file paths before re-running tests in watch mode',
+  watchman: 'Whether to use watchman for file crawling'
+};
+var _default = descriptions;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/ReporterValidationErrors.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ReporterValidationErrors.d.ts
new file mode 100644
index 000000000..642fdae48
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/ReporterValidationErrors.d.ts
@@ -0,0 +1,19 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import { ValidationError } from 'jest-validate';
+/**
+ * Reporter Validation Error is thrown if the given arguments
+ * within the reporter are not valid.
+ *
+ * This is a highly specific reporter error and in the future will be
+ * merged with jest-validate. Till then, we can make use of it. It works
+ * and that's what counts most at this time.
+ */
+export declare function createReporterError(reporterIndex: number, reporterValue: Array<Config.ReporterConfig> | string): ValidationError;
+export declare function createArrayReporterError(arrayReporter: Config.ReporterConfig, reporterIndex: number, valueIndex: number, value: string | Record<string, unknown>, expectedType: string, valueName: string): ValidationError;
+export declare function validateReporters(reporterConfig: Array<Config.ReporterConfig | string>): boolean;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/ReporterValidationErrors.js b/node_modules/@jest/core/node_modules/jest-config/build/ReporterValidationErrors.js
new file mode 100644
index 000000000..53e1b8226
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/ReporterValidationErrors.js
@@ -0,0 +1,138 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.createReporterError = createReporterError;
+exports.createArrayReporterError = createArrayReporterError;
+exports.validateReporters = validateReporters;
+
+function _jestValidate() {
+  const data = require('jest-validate');
+
+  _jestValidate = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestGetType() {
+  const data = _interopRequireDefault(require('jest-get-type'));
+
+  _jestGetType = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _utils = require('./utils');
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const validReporterTypes = ['array', 'string'];
+const ERROR = `${_utils.BULLET}Reporter Validation Error`;
+/**
+ * Reporter Validation Error is thrown if the given arguments
+ * within the reporter are not valid.
+ *
+ * This is a highly specific reporter error and in the future will be
+ * merged with jest-validate. Till then, we can make use of it. It works
+ * and that's what counts most at this time.
+ */
+
+function createReporterError(reporterIndex, reporterValue) {
+  const errorMessage =
+    `  Reporter at index ${reporterIndex} must be of type:\n` +
+    `    ${_chalk().default.bold.green(validReporterTypes.join(' or '))}\n` +
+    `  but instead received:\n` +
+    `    ${_chalk().default.bold.red(
+      (0, _jestGetType().default)(reporterValue)
+    )}`;
+  return new (_jestValidate().ValidationError)(
+    ERROR,
+    errorMessage,
+    _utils.DOCUMENTATION_NOTE
+  );
+}
+
+function createArrayReporterError(
+  arrayReporter,
+  reporterIndex,
+  valueIndex,
+  value,
+  expectedType,
+  valueName
+) {
+  const errorMessage =
+    `  Unexpected value for ${valueName} ` +
+    `at index ${valueIndex} of reporter at index ${reporterIndex}\n` +
+    '  Expected:\n' +
+    `    ${_chalk().default.bold.red(expectedType)}\n` +
+    '  Got:\n' +
+    `    ${_chalk().default.bold.green((0, _jestGetType().default)(value))}\n` +
+    `  Reporter configuration:\n` +
+    `    ${_chalk().default.bold.green(
+      JSON.stringify(arrayReporter, null, 2).split('\n').join('\n    ')
+    )}`;
+  return new (_jestValidate().ValidationError)(
+    ERROR,
+    errorMessage,
+    _utils.DOCUMENTATION_NOTE
+  );
+}
+
+function validateReporters(reporterConfig) {
+  return reporterConfig.every((reporter, index) => {
+    if (Array.isArray(reporter)) {
+      validateArrayReporter(reporter, index);
+    } else if (typeof reporter !== 'string') {
+      throw createReporterError(index, reporter);
+    }
+
+    return true;
+  });
+}
+
+function validateArrayReporter(arrayReporter, reporterIndex) {
+  const [path, options] = arrayReporter;
+
+  if (typeof path !== 'string') {
+    throw createArrayReporterError(
+      arrayReporter,
+      reporterIndex,
+      0,
+      path,
+      'string',
+      'Path'
+    );
+  } else if (typeof options !== 'object') {
+    throw createArrayReporterError(
+      arrayReporter,
+      reporterIndex,
+      1,
+      options,
+      'object',
+      'Reporter Configuration'
+    );
+  }
+}
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/ValidConfig.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ValidConfig.d.ts
new file mode 100644
index 000000000..a58484fa0
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/ValidConfig.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+declare const initialOptions: Config.InitialOptions;
+export default initialOptions;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/ValidConfig.js b/node_modules/@jest/core/node_modules/jest-config/build/ValidConfig.js
new file mode 100644
index 000000000..5a67c6c6f
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/ValidConfig.js
@@ -0,0 +1,179 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _jestRegexUtil() {
+  const data = require('jest-regex-util');
+
+  _jestRegexUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestValidate() {
+  const data = require('jest-validate');
+
+  _jestValidate = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _constants = require('./constants');
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const NODE_MODULES_REGEXP = (0, _jestRegexUtil().replacePathSepForRegex)(
+  _constants.NODE_MODULES
+);
+const initialOptions = {
+  automock: false,
+  bail: (0, _jestValidate().multipleValidOptions)(false, 0),
+  browser: false,
+  cache: true,
+  cacheDirectory: '/tmp/user/jest',
+  changedFilesWithAncestor: false,
+  changedSince: 'master',
+  clearMocks: false,
+  collectCoverage: true,
+  collectCoverageFrom: ['src', '!public'],
+  collectCoverageOnlyFrom: {
+    '<rootDir>/this-directory-is-covered/Covered.js': true
+  },
+  coverageDirectory: 'coverage',
+  coveragePathIgnorePatterns: [NODE_MODULES_REGEXP],
+  coverageProvider: 'v8',
+  coverageReporters: ['json', 'text', 'lcov', 'clover'],
+  coverageThreshold: {
+    global: {
+      branches: 50,
+      functions: 100,
+      lines: 100,
+      statements: 100
+    }
+  },
+  dependencyExtractor: '<rootDir>/dependencyExtractor.js',
+  displayName: (0, _jestValidate().multipleValidOptions)('test-config', {
+    color: 'blue',
+    name: 'test-config'
+  }),
+  errorOnDeprecated: false,
+  expand: false,
+  extraGlobals: [],
+  filter: '<rootDir>/filter.js',
+  forceCoverageMatch: ['**/*.t.js'],
+  forceExit: false,
+  globalSetup: 'setup.js',
+  globalTeardown: 'teardown.js',
+  globals: {
+    __DEV__: true
+  },
+  haste: {
+    computeSha1: true,
+    defaultPlatform: 'ios',
+    hasteImplModulePath: '<rootDir>/haste_impl.js',
+    platforms: ['ios', 'android'],
+    providesModuleNodeModules: ['react', 'react-native'],
+    throwOnModuleCollision: false
+  },
+  json: false,
+  lastCommit: false,
+  logHeapUsage: true,
+  maxConcurrency: 5,
+  maxWorkers: '50%',
+  moduleDirectories: ['node_modules'],
+  moduleFileExtensions: ['js', 'json', 'jsx', 'ts', 'tsx', 'node'],
+  moduleLoader: '<rootDir>',
+  moduleNameMapper: {
+    '^React$': '<rootDir>/node_modules/react'
+  },
+  modulePathIgnorePatterns: ['<rootDir>/build/'],
+  modulePaths: ['/shared/vendor/modules'],
+  name: 'string',
+  noStackTrace: false,
+  notify: false,
+  notifyMode: 'failure-change',
+  onlyChanged: false,
+  preset: 'react-native',
+  prettierPath: '<rootDir>/node_modules/prettier',
+  projects: ['project-a', 'project-b/'],
+  reporters: [
+    'default',
+    'custom-reporter-1',
+    [
+      'custom-reporter-2',
+      {
+        configValue: true
+      }
+    ]
+  ],
+  resetMocks: false,
+  resetModules: false,
+  resolver: '<rootDir>/resolver.js',
+  restoreMocks: false,
+  rootDir: '/',
+  roots: ['<rootDir>'],
+  runTestsByPath: false,
+  runner: 'jest-runner',
+  setupFiles: ['<rootDir>/setup.js'],
+  setupFilesAfterEnv: ['<rootDir>/testSetupFile.js'],
+  silent: true,
+  skipFilter: false,
+  skipNodeResolution: false,
+  snapshotResolver: '<rootDir>/snapshotResolver.js',
+  snapshotSerializers: ['my-serializer-module'],
+  testEnvironment: 'jest-environment-jsdom',
+  testEnvironmentOptions: {
+    userAgent: 'Agent/007'
+  },
+  testFailureExitCode: 1,
+  testLocationInResults: false,
+  testMatch: ['**/__tests__/**/*.[jt]s?(x)', '**/?(*.)+(spec|test).[jt]s?(x)'],
+  testNamePattern: 'test signature',
+  testPathIgnorePatterns: [NODE_MODULES_REGEXP],
+  testRegex: (0,
+  _jestValidate()
+    .multipleValidOptions)('(/__tests__/.*|(\\.|/)(test|spec))\\.[jt]sx?$', [
+    '/__tests__/\\.test\\.[jt]sx?$',
+    '/__tests__/\\.spec\\.[jt]sx?$'
+  ]),
+  testResultsProcessor: 'processor-node-module',
+  testRunner: 'jasmine2',
+  testSequencer: '@jest/test-sequencer',
+  testTimeout: 5000,
+  testURL: 'http://localhost',
+  timers: 'real',
+  transform: {
+    '^.+\\.js$': '<rootDir>/preprocessor.js'
+  },
+  transformIgnorePatterns: [NODE_MODULES_REGEXP],
+  unmockedModulePathPatterns: ['mock'],
+  updateSnapshot: true,
+  useStderr: false,
+  verbose: false,
+  watch: false,
+  watchPathIgnorePatterns: ['<rootDir>/e2e/'],
+  watchPlugins: [
+    'path/to/yourWatchPlugin',
+    [
+      'jest-watch-typeahead/filename',
+      {
+        key: 'k',
+        prompt: 'do something with my custom prompt'
+      }
+    ]
+  ],
+  watchman: true
+};
+var _default = initialOptions;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/color.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/color.d.ts
new file mode 100644
index 000000000..199baac4a
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/color.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare const getDisplayNameColor: (seed?: string | undefined) => "hex" | "bold" | "reset" | "black" | "red" | "green" | "yellow" | "blue" | "magenta" | "cyan" | "white" | "gray" | "grey" | "blackBright" | "redBright" | "greenBright" | "yellowBright" | "blueBright" | "magentaBright" | "cyanBright" | "whiteBright" | "bgBlack" | "bgRed" | "bgGreen" | "bgYellow" | "bgBlue" | "bgMagenta" | "bgCyan" | "bgWhite" | "bgGray" | "bgGrey" | "bgBlackBright" | "bgRedBright" | "bgGreenBright" | "bgYellowBright" | "bgBlueBright" | "bgMagentaBright" | "bgCyanBright" | "bgWhiteBright" | "dim" | "italic" | "underline" | "inverse" | "hidden" | "strikethrough" | "visible" | "Instance" | "level" | "keyword" | "rgb" | "hsl" | "hsv" | "hwb" | "ansi" | "ansi256" | "bgHex" | "bgKeyword" | "bgRgb" | "bgHsl" | "bgHsv" | "bgHwb" | "bgAnsi" | "bgAnsi256" | "supportsColor" | "Level" | "Color" | "ForegroundColor" | "BackgroundColor" | "Modifiers" | "stderr";
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/color.js b/node_modules/@jest/core/node_modules/jest-config/build/color.js
new file mode 100644
index 000000000..378d41f98
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/color.js
@@ -0,0 +1,51 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.getDisplayNameColor = void 0;
+
+function _crypto() {
+  const data = require('crypto');
+
+  _crypto = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const colors = ['red', 'green', 'yellow', 'blue', 'magenta', 'cyan', 'white'];
+
+const getDisplayNameColor = seed => {
+  if (seed === undefined) {
+    return 'white';
+  }
+
+  const hash = (0, _crypto().createHash)('sha256');
+  hash.update(seed);
+  const num = hash.digest().readUInt32LE(0);
+  return colors[num % colors.length];
+};
+
+exports.getDisplayNameColor = getDisplayNameColor;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/constants.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/constants.d.ts
new file mode 100644
index 000000000..fb9b1a2af
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/constants.d.ts
@@ -0,0 +1,16 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare const NODE_MODULES: string;
+export declare const DEFAULT_JS_PATTERN = "^.+\\.[jt]sx?$";
+export declare const DEFAULT_REPORTER_LABEL = "default";
+export declare const PACKAGE_JSON = "package.json";
+export declare const JEST_CONFIG_BASE_NAME = "jest.config";
+export declare const JEST_CONFIG_EXT_CJS = ".cjs";
+export declare const JEST_CONFIG_EXT_MJS = ".mjs";
+export declare const JEST_CONFIG_EXT_JS = ".js";
+export declare const JEST_CONFIG_EXT_JSON = ".json";
+export declare const JEST_CONFIG_EXT_ORDER: readonly string[];
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/constants.js b/node_modules/@jest/core/node_modules/jest-config/build/constants.js
new file mode 100644
index 000000000..b6735b896
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/constants.js
@@ -0,0 +1,90 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.JEST_CONFIG_EXT_ORDER = exports.JEST_CONFIG_EXT_JSON = exports.JEST_CONFIG_EXT_JS = exports.JEST_CONFIG_EXT_MJS = exports.JEST_CONFIG_EXT_CJS = exports.JEST_CONFIG_BASE_NAME = exports.PACKAGE_JSON = exports.DEFAULT_REPORTER_LABEL = exports.DEFAULT_JS_PATTERN = exports.NODE_MODULES = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const NODE_MODULES = path().sep + 'node_modules' + path().sep;
+exports.NODE_MODULES = NODE_MODULES;
+const DEFAULT_JS_PATTERN = '^.+\\.[jt]sx?$';
+exports.DEFAULT_JS_PATTERN = DEFAULT_JS_PATTERN;
+const DEFAULT_REPORTER_LABEL = 'default';
+exports.DEFAULT_REPORTER_LABEL = DEFAULT_REPORTER_LABEL;
+const PACKAGE_JSON = 'package.json';
+exports.PACKAGE_JSON = PACKAGE_JSON;
+const JEST_CONFIG_BASE_NAME = 'jest.config';
+exports.JEST_CONFIG_BASE_NAME = JEST_CONFIG_BASE_NAME;
+const JEST_CONFIG_EXT_CJS = '.cjs';
+exports.JEST_CONFIG_EXT_CJS = JEST_CONFIG_EXT_CJS;
+const JEST_CONFIG_EXT_MJS = '.mjs';
+exports.JEST_CONFIG_EXT_MJS = JEST_CONFIG_EXT_MJS;
+const JEST_CONFIG_EXT_JS = '.js';
+exports.JEST_CONFIG_EXT_JS = JEST_CONFIG_EXT_JS;
+const JEST_CONFIG_EXT_JSON = '.json';
+exports.JEST_CONFIG_EXT_JSON = JEST_CONFIG_EXT_JSON;
+const JEST_CONFIG_EXT_ORDER = Object.freeze([
+  JEST_CONFIG_EXT_JS,
+  JEST_CONFIG_EXT_MJS,
+  JEST_CONFIG_EXT_CJS,
+  JEST_CONFIG_EXT_JSON
+]);
+exports.JEST_CONFIG_EXT_ORDER = JEST_CONFIG_EXT_ORDER;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/getCacheDirectory.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/getCacheDirectory.d.ts
new file mode 100644
index 000000000..e2767bc38
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/getCacheDirectory.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare const getCacheDirectory: () => string;
+export default getCacheDirectory;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/getCacheDirectory.js b/node_modules/@jest/core/node_modules/jest-config/build/getCacheDirectory.js
new file mode 100644
index 000000000..409def636
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/getCacheDirectory.js
@@ -0,0 +1,104 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _os() {
+  const data = require('os');
+
+  _os = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _realpathNative() {
+  const data = require('realpath-native');
+
+  _realpathNative = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const getCacheDirectory = () => {
+  const {getuid} = process;
+  const tmpdirPath = path().join(
+    (0, _realpathNative().sync)((0, _os().tmpdir)()),
+    'jest'
+  );
+
+  if (getuid == null) {
+    return tmpdirPath;
+  } else {
+    // On some platforms tmpdir() is `/tmp`, causing conflicts between different
+    // users and permission issues. Adding an additional subdivision by UID can
+    // help.
+    return `${tmpdirPath}_${getuid.call(process).toString(36)}`;
+  }
+};
+
+var _default = getCacheDirectory;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/getMaxWorkers.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/getMaxWorkers.d.ts
new file mode 100644
index 000000000..81dfedc36
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/getMaxWorkers.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+export default function getMaxWorkers(argv: Partial<Pick<Config.Argv, 'maxWorkers' | 'runInBand' | 'watch' | 'watchAll'>>, defaultOptions?: Partial<Pick<Config.Argv, 'maxWorkers'>>): number;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/getMaxWorkers.js b/node_modules/@jest/core/node_modules/jest-config/build/getMaxWorkers.js
new file mode 100644
index 000000000..7f97165cc
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/getMaxWorkers.js
@@ -0,0 +1,57 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = getMaxWorkers;
+
+function _os() {
+  const data = require('os');
+
+  _os = function () {
+    return data;
+  };
+
+  return data;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function getMaxWorkers(argv, defaultOptions) {
+  if (argv.runInBand) {
+    return 1;
+  } else if (argv.maxWorkers) {
+    return parseWorkers(argv.maxWorkers);
+  } else if (defaultOptions && defaultOptions.maxWorkers) {
+    return parseWorkers(defaultOptions.maxWorkers);
+  } else {
+    // In watch mode, Jest should be unobtrusive and not use all available CPUs.
+    const numCpus = (0, _os().cpus)() ? (0, _os().cpus)().length : 1;
+    const isWatchModeEnabled = argv.watch || argv.watchAll;
+    return Math.max(
+      isWatchModeEnabled ? Math.floor(numCpus / 2) : numCpus - 1,
+      1
+    );
+  }
+}
+
+const parseWorkers = maxWorkers => {
+  const parsed = parseInt(maxWorkers.toString(), 10);
+
+  if (
+    typeof maxWorkers === 'string' &&
+    maxWorkers.trim().endsWith('%') &&
+    parsed > 0 &&
+    parsed <= 100
+  ) {
+    const numCpus = (0, _os().cpus)().length;
+    const workers = Math.floor((parsed / 100) * numCpus);
+    return workers >= 1 ? workers : 1;
+  }
+
+  return parsed > 0 ? parsed : 1;
+};
diff --git a/node_modules/jest-config/build/importEsm.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/importEsm.d.ts
similarity index 100%
rename from node_modules/jest-config/build/importEsm.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/importEsm.d.ts
diff --git a/node_modules/jest-config/build/importEsm.js b/node_modules/@jest/core/node_modules/jest-config/build/importEsm.js
similarity index 100%
rename from node_modules/jest-config/build/importEsm.js
rename to node_modules/@jest/core/node_modules/jest-config/build/importEsm.js
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/index.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/index.d.ts
new file mode 100644
index 000000000..1a57d2032
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/index.d.ts
@@ -0,0 +1,27 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+export { getTestEnvironment, isJSONString } from './utils';
+export { default as normalize } from './normalize';
+export { default as deprecationEntries } from './Deprecated';
+export { replaceRootDirInPath } from './utils';
+export { default as defaults } from './Defaults';
+export { default as descriptions } from './Descriptions';
+import * as constants from './constants';
+export { constants };
+declare type ReadConfig = {
+    configPath: Config.Path | null | undefined;
+    globalConfig: Config.GlobalConfig;
+    hasDeprecationWarnings: boolean;
+    projectConfig: Config.ProjectConfig;
+};
+export declare function readConfig(argv: Config.Argv, packageRootOrConfig: Config.Path | Config.InitialOptions, skipArgvConfigOption?: boolean, parentConfigPath?: Config.Path | null, projectIndex?: number): Promise<ReadConfig>;
+export declare function readConfigs(argv: Config.Argv, projectPaths: Array<Config.Path>): Promise<{
+    globalConfig: Config.GlobalConfig;
+    configs: Array<Config.ProjectConfig>;
+    hasDeprecationWarnings: boolean;
+}>;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/index.js b/node_modules/@jest/core/node_modules/jest-config/build/index.js
new file mode 100644
index 000000000..6a585f502
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/index.js
@@ -0,0 +1,474 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.readConfig = readConfig;
+exports.readConfigs = readConfigs;
+Object.defineProperty(exports, 'getTestEnvironment', {
+  enumerable: true,
+  get: function () {
+    return _utils.getTestEnvironment;
+  }
+});
+Object.defineProperty(exports, 'isJSONString', {
+  enumerable: true,
+  get: function () {
+    return _utils.isJSONString;
+  }
+});
+Object.defineProperty(exports, 'replaceRootDirInPath', {
+  enumerable: true,
+  get: function () {
+    return _utils.replaceRootDirInPath;
+  }
+});
+Object.defineProperty(exports, 'normalize', {
+  enumerable: true,
+  get: function () {
+    return _normalize.default;
+  }
+});
+Object.defineProperty(exports, 'deprecationEntries', {
+  enumerable: true,
+  get: function () {
+    return _Deprecated.default;
+  }
+});
+Object.defineProperty(exports, 'defaults', {
+  enumerable: true,
+  get: function () {
+    return _Defaults.default;
+  }
+});
+Object.defineProperty(exports, 'descriptions', {
+  enumerable: true,
+  get: function () {
+    return _Descriptions.default;
+  }
+});
+exports.constants = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _realpathNative() {
+  const data = require('realpath-native');
+
+  _realpathNative = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _utils = require('./utils');
+
+var _normalize = _interopRequireDefault(require('./normalize'));
+
+var _resolveConfigPath = _interopRequireDefault(require('./resolveConfigPath'));
+
+var _readConfigFileAndSetRootDir = _interopRequireDefault(
+  require('./readConfigFileAndSetRootDir')
+);
+
+var _Deprecated = _interopRequireDefault(require('./Deprecated'));
+
+var _Defaults = _interopRequireDefault(require('./Defaults'));
+
+var _Descriptions = _interopRequireDefault(require('./Descriptions'));
+
+var constants = _interopRequireWildcard(require('./constants'));
+
+exports.constants = constants;
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+async function readConfig(
+  argv,
+  packageRootOrConfig, // Whether it needs to look into `--config` arg passed to CLI.
+  // It only used to read initial config. If the initial config contains
+  // `project` property, we don't want to read `--config` value and rather
+  // read individual configs for every project.
+  skipArgvConfigOption,
+  parentConfigPath,
+  projectIndex = Infinity
+) {
+  let rawOptions;
+  let configPath = null;
+
+  if (typeof packageRootOrConfig !== 'string') {
+    if (parentConfigPath) {
+      const parentConfigDirname = path().dirname(parentConfigPath);
+      rawOptions = packageRootOrConfig;
+      rawOptions.rootDir = rawOptions.rootDir
+        ? (0, _utils.replaceRootDirInPath)(
+            parentConfigDirname,
+            rawOptions.rootDir
+          )
+        : parentConfigDirname;
+    } else {
+      throw new Error(
+        'Jest: Cannot use configuration as an object without a file path.'
+      );
+    }
+  } else if ((0, _utils.isJSONString)(argv.config)) {
+    // A JSON string was passed to `--config` argument and we can parse it
+    // and use as is.
+    let config;
+
+    try {
+      config = JSON.parse(argv.config);
+    } catch (e) {
+      throw new Error(
+        'There was an error while parsing the `--config` argument as a JSON string.'
+      );
+    } // NOTE: we might need to resolve this dir to an absolute path in the future
+
+    config.rootDir = config.rootDir || packageRootOrConfig;
+    rawOptions = config; // A string passed to `--config`, which is either a direct path to the config
+    // or a path to directory containing `package.json` or `jest.config.js`
+  } else if (!skipArgvConfigOption && typeof argv.config == 'string') {
+    configPath = (0, _resolveConfigPath.default)(argv.config, process.cwd());
+    rawOptions = await (0, _readConfigFileAndSetRootDir.default)(configPath);
+  } else {
+    // Otherwise just try to find config in the current rootDir.
+    configPath = (0, _resolveConfigPath.default)(
+      packageRootOrConfig,
+      process.cwd()
+    );
+    rawOptions = await (0, _readConfigFileAndSetRootDir.default)(configPath);
+  }
+
+  const {options, hasDeprecationWarnings} = (0, _normalize.default)(
+    rawOptions,
+    argv,
+    configPath,
+    projectIndex
+  );
+  const {globalConfig, projectConfig} = groupOptions(options);
+  return {
+    configPath,
+    globalConfig,
+    hasDeprecationWarnings,
+    projectConfig
+  };
+}
+
+const groupOptions = options => ({
+  globalConfig: Object.freeze({
+    bail: options.bail,
+    changedFilesWithAncestor: options.changedFilesWithAncestor,
+    changedSince: options.changedSince,
+    collectCoverage: options.collectCoverage,
+    collectCoverageFrom: options.collectCoverageFrom,
+    collectCoverageOnlyFrom: options.collectCoverageOnlyFrom,
+    coverageDirectory: options.coverageDirectory,
+    coverageProvider: options.coverageProvider,
+    coverageReporters: options.coverageReporters,
+    coverageThreshold: options.coverageThreshold,
+    detectLeaks: options.detectLeaks,
+    detectOpenHandles: options.detectOpenHandles,
+    enabledTestsMap: options.enabledTestsMap,
+    errorOnDeprecated: options.errorOnDeprecated,
+    expand: options.expand,
+    filter: options.filter,
+    findRelatedTests: options.findRelatedTests,
+    forceExit: options.forceExit,
+    globalSetup: options.globalSetup,
+    globalTeardown: options.globalTeardown,
+    json: options.json,
+    lastCommit: options.lastCommit,
+    listTests: options.listTests,
+    logHeapUsage: options.logHeapUsage,
+    maxConcurrency: options.maxConcurrency,
+    maxWorkers: options.maxWorkers,
+    noSCM: undefined,
+    noStackTrace: options.noStackTrace,
+    nonFlagArgs: options.nonFlagArgs,
+    notify: options.notify,
+    notifyMode: options.notifyMode,
+    onlyChanged: options.onlyChanged,
+    onlyFailures: options.onlyFailures,
+    outputFile: options.outputFile,
+    passWithNoTests: options.passWithNoTests,
+    projects: options.projects,
+    replname: options.replname,
+    reporters: options.reporters,
+    rootDir: options.rootDir,
+    runTestsByPath: options.runTestsByPath,
+    silent: options.silent,
+    skipFilter: options.skipFilter,
+    testFailureExitCode: options.testFailureExitCode,
+    testNamePattern: options.testNamePattern,
+    testPathPattern: options.testPathPattern,
+    testResultsProcessor: options.testResultsProcessor,
+    testSequencer: options.testSequencer,
+    testTimeout: options.testTimeout,
+    updateSnapshot: options.updateSnapshot,
+    useStderr: options.useStderr,
+    verbose: options.verbose,
+    watch: options.watch,
+    watchAll: options.watchAll,
+    watchPlugins: options.watchPlugins,
+    watchman: options.watchman
+  }),
+  projectConfig: Object.freeze({
+    automock: options.automock,
+    browser: options.browser,
+    cache: options.cache,
+    cacheDirectory: options.cacheDirectory,
+    clearMocks: options.clearMocks,
+    coveragePathIgnorePatterns: options.coveragePathIgnorePatterns,
+    cwd: options.cwd,
+    dependencyExtractor: options.dependencyExtractor,
+    detectLeaks: options.detectLeaks,
+    detectOpenHandles: options.detectOpenHandles,
+    displayName: options.displayName,
+    errorOnDeprecated: options.errorOnDeprecated,
+    extraGlobals: options.extraGlobals,
+    filter: options.filter,
+    forceCoverageMatch: options.forceCoverageMatch,
+    globalSetup: options.globalSetup,
+    globalTeardown: options.globalTeardown,
+    globals: options.globals,
+    haste: options.haste,
+    moduleDirectories: options.moduleDirectories,
+    moduleFileExtensions: options.moduleFileExtensions,
+    moduleLoader: options.moduleLoader,
+    moduleNameMapper: options.moduleNameMapper,
+    modulePathIgnorePatterns: options.modulePathIgnorePatterns,
+    modulePaths: options.modulePaths,
+    name: options.name,
+    prettierPath: options.prettierPath,
+    resetMocks: options.resetMocks,
+    resetModules: options.resetModules,
+    resolver: options.resolver,
+    restoreMocks: options.restoreMocks,
+    rootDir: options.rootDir,
+    roots: options.roots,
+    runner: options.runner,
+    setupFiles: options.setupFiles,
+    setupFilesAfterEnv: options.setupFilesAfterEnv,
+    skipFilter: options.skipFilter,
+    skipNodeResolution: options.skipNodeResolution,
+    snapshotResolver: options.snapshotResolver,
+    snapshotSerializers: options.snapshotSerializers,
+    testEnvironment: options.testEnvironment,
+    testEnvironmentOptions: options.testEnvironmentOptions,
+    testLocationInResults: options.testLocationInResults,
+    testMatch: options.testMatch,
+    testPathIgnorePatterns: options.testPathIgnorePatterns,
+    testRegex: options.testRegex,
+    testRunner: options.testRunner,
+    testURL: options.testURL,
+    timers: options.timers,
+    transform: options.transform,
+    transformIgnorePatterns: options.transformIgnorePatterns,
+    unmockedModulePathPatterns: options.unmockedModulePathPatterns,
+    watchPathIgnorePatterns: options.watchPathIgnorePatterns
+  })
+});
+
+const ensureNoDuplicateConfigs = (parsedConfigs, projects) => {
+  if (projects.length <= 1) {
+    return;
+  }
+
+  const configPathMap = new Map();
+
+  for (const config of parsedConfigs) {
+    const {configPath} = config;
+
+    if (configPathMap.has(configPath)) {
+      const message = `Whoops! Two projects resolved to the same config path: ${_chalk().default.bold(
+        String(configPath)
+      )}:
+
+  Project 1: ${_chalk().default.bold(
+    projects[parsedConfigs.findIndex(x => x === config)]
+  )}
+  Project 2: ${_chalk().default.bold(
+    projects[parsedConfigs.findIndex(x => x === configPathMap.get(configPath))]
+  )}
+
+This usually means that your ${_chalk().default.bold(
+        '"projects"'
+      )} config includes a directory that doesn't have any configuration recognizable by Jest. Please fix it.
+`;
+      throw new Error(message);
+    }
+
+    if (configPath !== null) {
+      configPathMap.set(configPath, config);
+    }
+  }
+}; // Possible scenarios:
+//  1. jest --config config.json
+//  2. jest --projects p1 p2
+//  3. jest --projects p1 p2 --config config.json
+//  4. jest --projects p1
+//  5. jest
+//
+// If no projects are specified, process.cwd() will be used as the default
+// (and only) project.
+
+async function readConfigs(argv, projectPaths) {
+  let globalConfig;
+  let hasDeprecationWarnings;
+  let configs = [];
+  let projects = projectPaths;
+  let configPath;
+
+  if (projectPaths.length === 1) {
+    const parsedConfig = await readConfig(argv, projects[0]);
+    configPath = parsedConfig.configPath;
+    hasDeprecationWarnings = parsedConfig.hasDeprecationWarnings;
+    globalConfig = parsedConfig.globalConfig;
+    configs = [parsedConfig.projectConfig];
+
+    if (globalConfig.projects && globalConfig.projects.length) {
+      // Even though we had one project in CLI args, there might be more
+      // projects defined in the config.
+      // In other words, if this was a single project,
+      // and its config has `projects` settings, use that value instead.
+      projects = globalConfig.projects;
+    }
+  }
+
+  if (projects.length > 0) {
+    const projectIsCwd =
+      process.platform === 'win32'
+        ? projects[0] === (0, _realpathNative().sync)(process.cwd())
+        : projects[0] === process.cwd();
+    const parsedConfigs = await Promise.all(
+      projects
+        .filter(root => {
+          // Ignore globbed files that cannot be `require`d.
+          if (
+            typeof root === 'string' &&
+            fs().existsSync(root) &&
+            !fs().lstatSync(root).isDirectory() &&
+            !constants.JEST_CONFIG_EXT_ORDER.some(ext => root.endsWith(ext))
+          ) {
+            return false;
+          }
+
+          return true;
+        })
+        .map((root, projectIndex) => {
+          const projectIsTheOnlyProject =
+            projectIndex === 0 && projects.length === 1;
+          const skipArgvConfigOption = !(
+            projectIsTheOnlyProject && projectIsCwd
+          );
+          return readConfig(
+            argv,
+            root,
+            skipArgvConfigOption,
+            configPath,
+            projectIndex
+          );
+        })
+    );
+    ensureNoDuplicateConfigs(parsedConfigs, projects);
+    configs = parsedConfigs.map(({projectConfig}) => projectConfig);
+
+    if (!hasDeprecationWarnings) {
+      hasDeprecationWarnings = parsedConfigs.some(
+        ({hasDeprecationWarnings}) => !!hasDeprecationWarnings
+      );
+    } // If no config was passed initially, use the one from the first project
+
+    if (!globalConfig) {
+      globalConfig = parsedConfigs[0].globalConfig;
+    }
+  }
+
+  if (!globalConfig || !configs.length) {
+    throw new Error('jest: No configuration found for any project.');
+  }
+
+  return {
+    configs,
+    globalConfig,
+    hasDeprecationWarnings: !!hasDeprecationWarnings
+  };
+}
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/normalize.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/normalize.d.ts
new file mode 100644
index 000000000..fc939e63d
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/normalize.d.ts
@@ -0,0 +1,13 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+declare type AllOptions = Config.ProjectConfig & Config.GlobalConfig;
+export default function normalize(initialOptions: Config.InitialOptions, argv: Config.Argv, configPath?: Config.Path | null, projectIndex?: number): {
+    hasDeprecationWarnings: boolean;
+    options: AllOptions;
+};
+export {};
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/normalize.js b/node_modules/@jest/core/node_modules/jest-config/build/normalize.js
new file mode 100644
index 000000000..f4e48f20f
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/normalize.js
@@ -0,0 +1,1260 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = normalize;
+
+function _crypto() {
+  const data = require('crypto');
+
+  _crypto = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _gracefulFs() {
+  const data = require('graceful-fs');
+
+  _gracefulFs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _glob() {
+  const data = require('glob');
+
+  _glob = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestValidate() {
+  const data = require('jest-validate');
+
+  _jestValidate = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestUtil() {
+  const data = require('jest-util');
+
+  _jestUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _micromatch() {
+  const data = _interopRequireDefault(require('micromatch'));
+
+  _micromatch = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _realpathNative() {
+  const data = require('realpath-native');
+
+  _realpathNative = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestResolve() {
+  const data = _interopRequireDefault(require('jest-resolve'));
+
+  _jestResolve = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestRegexUtil() {
+  const data = require('jest-regex-util');
+
+  _jestRegexUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _deepmerge() {
+  const data = _interopRequireDefault(require('deepmerge'));
+
+  _deepmerge = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _validatePattern = _interopRequireDefault(require('./validatePattern'));
+
+var _getMaxWorkers = _interopRequireDefault(require('./getMaxWorkers'));
+
+var _utils = require('./utils');
+
+var _constants = require('./constants');
+
+var _ReporterValidationErrors = require('./ReporterValidationErrors');
+
+var _Defaults = _interopRequireDefault(require('./Defaults'));
+
+var _Deprecated = _interopRequireDefault(require('./Deprecated'));
+
+var _setFromArgv = _interopRequireDefault(require('./setFromArgv'));
+
+var _ValidConfig = _interopRequireDefault(require('./ValidConfig'));
+
+var _color = require('./color');
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const ERROR = `${_utils.BULLET}Validation Error`;
+const PRESET_EXTENSIONS = ['.json', '.js'];
+const PRESET_NAME = 'jest-preset';
+
+const createConfigError = message =>
+  new (_jestValidate().ValidationError)(
+    ERROR,
+    message,
+    _utils.DOCUMENTATION_NOTE
+  );
+
+function verifyDirectoryExists(path, key) {
+  try {
+    const rootStat = (0, _gracefulFs().statSync)(path);
+
+    if (!rootStat.isDirectory()) {
+      throw createConfigError(
+        `  ${_chalk().default.bold(path)} in the ${_chalk().default.bold(
+          key
+        )} option is not a directory.`
+      );
+    }
+  } catch (err) {
+    if (err instanceof _jestValidate().ValidationError) {
+      throw err;
+    }
+
+    if (err.code === 'ENOENT') {
+      throw createConfigError(
+        `  Directory ${_chalk().default.bold(
+          path
+        )} in the ${_chalk().default.bold(key)} option was not found.`
+      );
+    } // Not sure in which cases `statSync` can throw, so let's just show the underlying error to the user
+
+    throw createConfigError(
+      `  Got an error trying to find ${_chalk().default.bold(
+        path
+      )} in the ${_chalk().default.bold(key)} option.\n\n  Error was: ${
+        err.message
+      }`
+    );
+  }
+} // TS 3.5 forces us to split these into 2
+
+const mergeModuleNameMapperWithPreset = (options, preset) => {
+  if (options['moduleNameMapper'] && preset['moduleNameMapper']) {
+    options['moduleNameMapper'] = {
+      ...options['moduleNameMapper'],
+      ...preset['moduleNameMapper'],
+      ...options['moduleNameMapper']
+    };
+  }
+};
+
+const mergeTransformWithPreset = (options, preset) => {
+  if (options['transform'] && preset['transform']) {
+    options['transform'] = {
+      ...options['transform'],
+      ...preset['transform'],
+      ...options['transform']
+    };
+  }
+};
+
+const mergeGlobalsWithPreset = (options, preset) => {
+  if (options['globals'] && preset['globals']) {
+    options['globals'] = (0, _deepmerge().default)(
+      preset['globals'],
+      options['globals']
+    );
+  }
+};
+
+const setupPreset = (options, optionsPreset) => {
+  let preset;
+  const presetPath = (0, _utils.replaceRootDirInPath)(
+    options.rootDir,
+    optionsPreset
+  );
+
+  const presetModule = _jestResolve().default.findNodeModule(
+    presetPath.startsWith('.')
+      ? presetPath
+      : path().join(presetPath, PRESET_NAME),
+    {
+      basedir: options.rootDir,
+      extensions: PRESET_EXTENSIONS
+    }
+  );
+
+  try {
+    // Force re-evaluation to support multiple projects
+    try {
+      if (presetModule) {
+        delete require.cache[require.resolve(presetModule)];
+      }
+    } catch (e) {} // @ts-ignore: `presetModule` can be null?
+
+    preset = require(presetModule);
+  } catch (error) {
+    if (error instanceof SyntaxError || error instanceof TypeError) {
+      throw createConfigError(
+        `  Preset ${_chalk().default.bold(presetPath)} is invalid:\n\n  ${
+          error.message
+        }\n  ${error.stack}`
+      );
+    }
+
+    if (error.message.includes('Cannot find module')) {
+      if (error.message.includes(presetPath)) {
+        const preset = _jestResolve().default.findNodeModule(presetPath, {
+          basedir: options.rootDir
+        });
+
+        if (preset) {
+          throw createConfigError(
+            `  Module ${_chalk().default.bold(
+              presetPath
+            )} should have "jest-preset.js" or "jest-preset.json" file at the root.`
+          );
+        }
+
+        throw createConfigError(
+          `  Preset ${_chalk().default.bold(presetPath)} not found.`
+        );
+      }
+
+      throw createConfigError(
+        `  Missing dependency in ${_chalk().default.bold(presetPath)}:\n\n  ${
+          error.message
+        }\n  ${error.stack}`
+      );
+    }
+
+    throw createConfigError(
+      `  An unknown error occurred in ${_chalk().default.bold(
+        presetPath
+      )}:\n\n  ${error.message}\n  ${error.stack}`
+    );
+  }
+
+  if (options.setupFiles) {
+    options.setupFiles = (preset.setupFiles || []).concat(options.setupFiles);
+  }
+
+  if (options.setupFilesAfterEnv) {
+    options.setupFilesAfterEnv = (preset.setupFilesAfterEnv || []).concat(
+      options.setupFilesAfterEnv
+    );
+  }
+
+  if (options.modulePathIgnorePatterns && preset.modulePathIgnorePatterns) {
+    options.modulePathIgnorePatterns = preset.modulePathIgnorePatterns.concat(
+      options.modulePathIgnorePatterns
+    );
+  }
+
+  mergeModuleNameMapperWithPreset(options, preset);
+  mergeTransformWithPreset(options, preset);
+  mergeGlobalsWithPreset(options, preset);
+  return {...preset, ...options};
+};
+
+const setupBabelJest = options => {
+  const transform = options.transform;
+  let babelJest;
+
+  if (transform) {
+    const customJSPattern = Object.keys(transform).find(pattern => {
+      const regex = new RegExp(pattern);
+      return regex.test('a.js') || regex.test('a.jsx');
+    });
+    const customTSPattern = Object.keys(transform).find(pattern => {
+      const regex = new RegExp(pattern);
+      return regex.test('a.ts') || regex.test('a.tsx');
+    });
+    [customJSPattern, customTSPattern].forEach(pattern => {
+      if (pattern) {
+        const customTransformer = transform[pattern];
+
+        if (Array.isArray(customTransformer)) {
+          if (customTransformer[0] === 'babel-jest') {
+            babelJest = require.resolve('babel-jest');
+            customTransformer[0] = babelJest;
+          } else if (customTransformer[0].includes('babel-jest')) {
+            babelJest = customTransformer[0];
+          }
+        } else {
+          if (customTransformer === 'babel-jest') {
+            babelJest = require.resolve('babel-jest');
+            transform[pattern] = babelJest;
+          } else if (customTransformer.includes('babel-jest')) {
+            babelJest = customTransformer;
+          }
+        }
+      }
+    });
+  } else {
+    babelJest = require.resolve('babel-jest');
+    options.transform = {
+      [_constants.DEFAULT_JS_PATTERN]: babelJest
+    };
+  }
+};
+
+const normalizeCollectCoverageOnlyFrom = (options, key) => {
+  const initialCollectCoverageFrom = options[key];
+  const collectCoverageOnlyFrom = Array.isArray(initialCollectCoverageFrom)
+    ? initialCollectCoverageFrom // passed from argv
+    : Object.keys(initialCollectCoverageFrom); // passed from options
+
+  return collectCoverageOnlyFrom.reduce((map, filePath) => {
+    filePath = path().resolve(
+      options.rootDir,
+      (0, _utils.replaceRootDirInPath)(options.rootDir, filePath)
+    );
+    map[filePath] = true;
+    return map;
+  }, Object.create(null));
+};
+
+const normalizeCollectCoverageFrom = (options, key) => {
+  const initialCollectCoverageFrom = options[key];
+  let value;
+
+  if (!initialCollectCoverageFrom) {
+    value = [];
+  }
+
+  if (!Array.isArray(initialCollectCoverageFrom)) {
+    try {
+      value = JSON.parse(initialCollectCoverageFrom);
+    } catch (e) {}
+
+    if (options[key] && !Array.isArray(value)) {
+      value = [initialCollectCoverageFrom];
+    }
+  } else {
+    value = initialCollectCoverageFrom;
+  }
+
+  if (value) {
+    value = value.map(filePath =>
+      filePath.replace(/^(!?)(<rootDir>\/)(.*)/, '$1$3')
+    );
+  }
+
+  return value;
+};
+
+const normalizeUnmockedModulePathPatterns = (
+  options,
+  key // _replaceRootDirTags is specifically well-suited for substituting
+) =>
+  // <rootDir> in paths (it deals with properly interpreting relative path
+  // separators, etc).
+  //
+  // For patterns, direct global substitution is far more ideal, so we
+  // special case substitutions for patterns here.
+  options[key].map(pattern =>
+    (0, _jestRegexUtil().replacePathSepForRegex)(
+      pattern.replace(/<rootDir>/g, options.rootDir)
+    )
+  );
+
+const normalizePreprocessor = options => {
+  if (options.scriptPreprocessor && options.transform) {
+    throw createConfigError(`  Options: ${_chalk().default.bold(
+      'scriptPreprocessor'
+    )} and ${_chalk().default.bold('transform')} cannot be used together.
+  Please change your configuration to only use ${_chalk().default.bold(
+    'transform'
+  )}.`);
+  }
+
+  if (options.preprocessorIgnorePatterns && options.transformIgnorePatterns) {
+    throw createConfigError(`  Options ${_chalk().default.bold(
+      'preprocessorIgnorePatterns'
+    )} and ${_chalk().default.bold(
+      'transformIgnorePatterns'
+    )} cannot be used together.
+  Please change your configuration to only use ${_chalk().default.bold(
+    'transformIgnorePatterns'
+  )}.`);
+  }
+
+  if (options.scriptPreprocessor) {
+    options.transform = {
+      '.*': options.scriptPreprocessor
+    };
+  }
+
+  if (options.preprocessorIgnorePatterns) {
+    options.transformIgnorePatterns = options.preprocessorIgnorePatterns;
+  }
+
+  delete options.scriptPreprocessor;
+  delete options.preprocessorIgnorePatterns;
+  return options;
+};
+
+const normalizeMissingOptions = (options, configPath, projectIndex) => {
+  if (!options.name) {
+    options.name = (0, _crypto().createHash)('md5')
+      .update(options.rootDir) // In case we load config from some path that has the same root dir
+      .update(configPath || '')
+      .update(String(projectIndex))
+      .digest('hex');
+  }
+
+  if (!options.setupFiles) {
+    options.setupFiles = [];
+  }
+
+  return options;
+};
+
+const normalizeRootDir = options => {
+  // Assert that there *is* a rootDir
+  if (!options.rootDir) {
+    throw createConfigError(
+      `  Configuration option ${_chalk().default.bold(
+        'rootDir'
+      )} must be specified.`
+    );
+  }
+
+  options.rootDir = path().normalize(options.rootDir);
+
+  try {
+    // try to resolve windows short paths, ignoring errors (permission errors, mostly)
+    options.rootDir = (0, _realpathNative().sync)(options.rootDir);
+  } catch (e) {
+    // ignored
+  }
+
+  verifyDirectoryExists(options.rootDir, 'rootDir');
+  return {...options, rootDir: options.rootDir};
+};
+
+const normalizeReporters = options => {
+  const reporters = options.reporters;
+
+  if (!reporters || !Array.isArray(reporters)) {
+    return options;
+  }
+
+  (0, _ReporterValidationErrors.validateReporters)(reporters);
+  options.reporters = reporters.map(reporterConfig => {
+    const normalizedReporterConfig =
+      typeof reporterConfig === 'string' // if reporter config is a string, we wrap it in an array
+        ? // and pass an empty object for options argument, to normalize
+          // the shape.
+          [reporterConfig, {}]
+        : reporterConfig;
+    const reporterPath = (0, _utils.replaceRootDirInPath)(
+      options.rootDir,
+      normalizedReporterConfig[0]
+    );
+
+    if (reporterPath !== _constants.DEFAULT_REPORTER_LABEL) {
+      const reporter = _jestResolve().default.findNodeModule(reporterPath, {
+        basedir: options.rootDir
+      });
+
+      if (!reporter) {
+        throw new (_jestResolve().default.ModuleNotFoundError)(
+          `Could not resolve a module for a custom reporter.\n` +
+            `  Module name: ${reporterPath}`
+        );
+      }
+
+      normalizedReporterConfig[0] = reporter;
+    }
+
+    return normalizedReporterConfig;
+  });
+  return options;
+};
+
+const buildTestPathPattern = argv => {
+  const patterns = [];
+
+  if (argv._) {
+    patterns.push(...argv._);
+  }
+
+  if (argv.testPathPattern) {
+    patterns.push(...argv.testPathPattern);
+  }
+
+  const replacePosixSep = pattern => {
+    // yargs coerces positional args into numbers
+    const patternAsString = pattern.toString();
+
+    if (path().sep === '/') {
+      return patternAsString;
+    }
+
+    return patternAsString.replace(/\//g, '\\\\');
+  };
+
+  const testPathPattern = patterns.map(replacePosixSep).join('|');
+
+  if ((0, _validatePattern.default)(testPathPattern)) {
+    return testPathPattern;
+  } else {
+    showTestPathPatternError(testPathPattern);
+    return '';
+  }
+};
+
+const showTestPathPatternError = testPathPattern => {
+  (0, _jestUtil().clearLine)(process.stdout);
+  console.log(
+    _chalk().default.red(
+      `  Invalid testPattern ${testPathPattern} supplied. ` +
+        `Running all tests instead.`
+    )
+  );
+};
+
+function normalize(initialOptions, argv, configPath, projectIndex = Infinity) {
+  const {hasDeprecationWarnings} = (0, _jestValidate().validate)(
+    initialOptions,
+    {
+      comment: _utils.DOCUMENTATION_NOTE,
+      deprecatedConfig: _Deprecated.default,
+      exampleConfig: _ValidConfig.default,
+      recursiveBlacklist: [
+        'collectCoverageOnlyFrom', // 'coverageThreshold' allows to use 'global' and glob strings on the same
+        // level, there's currently no way we can deal with such config
+        'coverageThreshold',
+        'globals',
+        'moduleNameMapper',
+        'testEnvironmentOptions',
+        'transform'
+      ]
+    }
+  );
+  let options = normalizePreprocessor(
+    normalizeReporters(
+      normalizeMissingOptions(
+        normalizeRootDir((0, _setFromArgv.default)(initialOptions, argv)),
+        configPath,
+        projectIndex
+      )
+    )
+  );
+
+  if (options.preset) {
+    options = setupPreset(options, options.preset);
+  }
+
+  if (!options.setupFilesAfterEnv) {
+    options.setupFilesAfterEnv = [];
+  }
+
+  if (
+    options.setupTestFrameworkScriptFile &&
+    options.setupFilesAfterEnv.length > 0
+  ) {
+    throw createConfigError(`  Options: ${_chalk().default.bold(
+      'setupTestFrameworkScriptFile'
+    )} and ${_chalk().default.bold(
+      'setupFilesAfterEnv'
+    )} cannot be used together.
+  Please change your configuration to only use ${_chalk().default.bold(
+    'setupFilesAfterEnv'
+  )}.`);
+  }
+
+  if (options.setupTestFrameworkScriptFile) {
+    options.setupFilesAfterEnv.push(options.setupTestFrameworkScriptFile);
+  }
+
+  options.testEnvironment = (0, _utils.getTestEnvironment)({
+    rootDir: options.rootDir,
+    testEnvironment:
+      options.testEnvironment || _Defaults.default.testEnvironment
+  });
+
+  if (!options.roots && options.testPathDirs) {
+    options.roots = options.testPathDirs;
+    delete options.testPathDirs;
+  }
+
+  if (!options.roots) {
+    options.roots = [options.rootDir];
+  }
+
+  if (!options.testRunner || options.testRunner === 'jasmine2') {
+    options.testRunner = require.resolve('jest-jasmine2');
+  }
+
+  if (!options.coverageDirectory) {
+    options.coverageDirectory = path().resolve(options.rootDir, 'coverage');
+  }
+
+  setupBabelJest(options); // TODO: Type this properly
+
+  const newOptions = {..._Defaults.default};
+
+  if (options.resolver) {
+    newOptions.resolver = (0, _utils.resolve)(null, {
+      filePath: options.resolver,
+      key: 'resolver',
+      rootDir: options.rootDir
+    });
+  }
+
+  const optionKeys = Object.keys(options);
+  optionKeys.reduce((newOptions, key) => {
+    // The resolver has been resolved separately; skip it
+    if (key === 'resolver') {
+      return newOptions;
+    } // This is cheating, because it claims that all keys of InitialOptions are Required.
+    // We only really know it's Required for oldOptions[key], not for oldOptions.someOtherKey,
+    // so oldOptions[key] is the only way it should be used.
+
+    const oldOptions = options;
+    let value;
+
+    switch (key) {
+      case 'collectCoverageOnlyFrom':
+        value = normalizeCollectCoverageOnlyFrom(oldOptions, key);
+        break;
+
+      case 'setupFiles':
+      case 'setupFilesAfterEnv':
+      case 'snapshotSerializers':
+        {
+          const option = oldOptions[key];
+          value =
+            option &&
+            option.map(filePath =>
+              (0, _utils.resolve)(newOptions.resolver, {
+                filePath,
+                key,
+                rootDir: options.rootDir
+              })
+            );
+        }
+        break;
+
+      case 'modulePaths':
+      case 'roots':
+        {
+          const option = oldOptions[key];
+          value =
+            option &&
+            option.map(filePath =>
+              path().resolve(
+                options.rootDir,
+                (0, _utils.replaceRootDirInPath)(options.rootDir, filePath)
+              )
+            );
+        }
+        break;
+
+      case 'collectCoverageFrom':
+        value = normalizeCollectCoverageFrom(oldOptions, key);
+        break;
+
+      case 'cacheDirectory':
+      case 'coverageDirectory':
+        {
+          const option = oldOptions[key];
+          value =
+            option &&
+            path().resolve(
+              options.rootDir,
+              (0, _utils.replaceRootDirInPath)(options.rootDir, option)
+            );
+        }
+        break;
+
+      case 'dependencyExtractor':
+      case 'globalSetup':
+      case 'globalTeardown':
+      case 'moduleLoader':
+      case 'snapshotResolver':
+      case 'testResultsProcessor':
+      case 'testRunner':
+      case 'filter':
+        {
+          const option = oldOptions[key];
+          value =
+            option &&
+            (0, _utils.resolve)(newOptions.resolver, {
+              filePath: option,
+              key,
+              rootDir: options.rootDir
+            });
+        }
+        break;
+
+      case 'runner':
+        {
+          const option = oldOptions[key];
+          value =
+            option &&
+            (0, _utils.getRunner)(newOptions.resolver, {
+              filePath: option,
+              rootDir: options.rootDir
+            });
+        }
+        break;
+
+      case 'prettierPath':
+        {
+          // We only want this to throw if "prettierPath" is explicitly passed
+          // from config or CLI, and the requested path isn't found. Otherwise we
+          // set it to null and throw an error lazily when it is used.
+          const option = oldOptions[key];
+          value =
+            option &&
+            (0, _utils.resolve)(newOptions.resolver, {
+              filePath: option,
+              key,
+              optional: option === _Defaults.default[key],
+              rootDir: options.rootDir
+            });
+        }
+        break;
+
+      case 'moduleNameMapper':
+        const moduleNameMapper = oldOptions[key];
+        value =
+          moduleNameMapper &&
+          Object.keys(moduleNameMapper).map(regex => {
+            const item = moduleNameMapper && moduleNameMapper[regex];
+            return (
+              item && [
+                regex,
+                (0, _utils._replaceRootDirTags)(options.rootDir, item)
+              ]
+            );
+          });
+        break;
+
+      case 'transform':
+        const transform = oldOptions[key];
+        value =
+          transform &&
+          Object.keys(transform).map(regex => {
+            const transformElement = transform[regex];
+            return [
+              regex,
+              (0, _utils.resolve)(newOptions.resolver, {
+                filePath: Array.isArray(transformElement)
+                  ? transformElement[0]
+                  : transformElement,
+                key,
+                rootDir: options.rootDir
+              }),
+              Array.isArray(transformElement) ? transformElement[1] : {}
+            ];
+          });
+        break;
+
+      case 'coveragePathIgnorePatterns':
+      case 'modulePathIgnorePatterns':
+      case 'testPathIgnorePatterns':
+      case 'transformIgnorePatterns':
+      case 'watchPathIgnorePatterns':
+      case 'unmockedModulePathPatterns':
+        value = normalizeUnmockedModulePathPatterns(oldOptions, key);
+        break;
+
+      case 'haste':
+        value = {...oldOptions[key]};
+
+        if (value.hasteImplModulePath != null) {
+          const resolvedHasteImpl = (0, _utils.resolve)(newOptions.resolver, {
+            filePath: (0, _utils.replaceRootDirInPath)(
+              options.rootDir,
+              value.hasteImplModulePath
+            ),
+            key: 'haste.hasteImplModulePath',
+            rootDir: options.rootDir
+          });
+          value.hasteImplModulePath = resolvedHasteImpl || undefined;
+        }
+
+        break;
+
+      case 'projects':
+        value = (oldOptions[key] || [])
+          .map(project =>
+            typeof project === 'string'
+              ? (0, _utils._replaceRootDirTags)(options.rootDir, project)
+              : project
+          )
+          .reduce((projects, project) => {
+            // Project can be specified as globs. If a glob matches any files,
+            // We expand it to these paths. If not, we keep the original path
+            // for the future resolution.
+            const globMatches =
+              typeof project === 'string' ? (0, _glob().sync)(project) : [];
+            return projects.concat(globMatches.length ? globMatches : project);
+          }, []);
+        break;
+
+      case 'moduleDirectories':
+      case 'testMatch':
+        {
+          const replacedRootDirTags = (0, _utils._replaceRootDirTags)(
+            (0, _utils.escapeGlobCharacters)(options.rootDir),
+            oldOptions[key]
+          );
+
+          if (replacedRootDirTags) {
+            value = Array.isArray(replacedRootDirTags)
+              ? replacedRootDirTags.map(_jestUtil().replacePathSepForGlob)
+              : (0, _jestUtil().replacePathSepForGlob)(replacedRootDirTags);
+          } else {
+            value = replacedRootDirTags;
+          }
+        }
+        break;
+
+      case 'testRegex':
+        {
+          const option = oldOptions[key];
+          value = option
+            ? (Array.isArray(option) ? option : [option]).map(
+                _jestRegexUtil().replacePathSepForRegex
+              )
+            : [];
+        }
+        break;
+
+      case 'moduleFileExtensions': {
+        value = oldOptions[key];
+
+        if (
+          Array.isArray(value) && // If it's the wrong type, it can throw at a later time
+          (options.runner === undefined ||
+            options.runner === _Defaults.default.runner) && // Only require 'js' for the default jest-runner
+          !value.includes('js')
+        ) {
+          const errorMessage =
+            `  moduleFileExtensions must include 'js':\n` +
+            `  but instead received:\n` +
+            `    ${_chalk().default.bold.red(JSON.stringify(value))}`; // If `js` is not included, any dependency Jest itself injects into
+          // the environment, like jasmine or sourcemap-support, will need to
+          // `require` its modules with a file extension. This is not plausible
+          // in the long run, so it's way easier to just fail hard early.
+          // We might consider throwing if `json` is missing as well, as it's a
+          // fair assumption from modules that they can do
+          // `require('some-package/package') without the trailing `.json` as it
+          // works in Node normally.
+
+          throw createConfigError(
+            errorMessage +
+              "\n  Please change your configuration to include 'js'."
+          );
+        }
+
+        break;
+      }
+
+      case 'bail': {
+        const bail = oldOptions[key];
+
+        if (typeof bail === 'boolean') {
+          value = bail ? 1 : 0;
+        } else if (typeof bail === 'string') {
+          value = 1; // If Jest is invoked as `jest --bail someTestPattern` then need to
+          // move the pattern from the `bail` configuration and into `argv._`
+          // to be processed as an extra parameter
+
+          argv._.push(bail);
+        } else {
+          value = oldOptions[key];
+        }
+
+        break;
+      }
+
+      case 'displayName': {
+        const displayName = oldOptions[key];
+        /**
+         * Ensuring that displayName shape is correct here so that the
+         * reporters can trust the shape of the data
+         */
+
+        if (typeof displayName === 'object') {
+          const {name, color} = displayName;
+
+          if (
+            !name ||
+            !color ||
+            typeof name !== 'string' ||
+            typeof color !== 'string'
+          ) {
+            const errorMessage =
+              `  Option "${_chalk().default.bold(
+                'displayName'
+              )}" must be of type:\n\n` +
+              '  {\n' +
+              '    name: string;\n' +
+              '    color: string;\n' +
+              '  }\n';
+            throw createConfigError(errorMessage);
+          }
+
+          value = oldOptions[key];
+        } else {
+          value = {
+            color: (0, _color.getDisplayNameColor)(options.runner),
+            name: displayName
+          };
+        }
+
+        break;
+      }
+
+      case 'testTimeout': {
+        if (oldOptions[key] < 0) {
+          throw createConfigError(
+            `  Option "${_chalk().default.bold(
+              'testTimeout'
+            )}" must be a natural number.`
+          );
+        }
+
+        value = oldOptions[key];
+        break;
+      }
+
+      case 'automock':
+      case 'browser':
+      case 'cache':
+      case 'changedSince':
+      case 'changedFilesWithAncestor':
+      case 'clearMocks':
+      case 'collectCoverage':
+      case 'coverageProvider':
+      case 'coverageReporters':
+      case 'coverageThreshold':
+      case 'detectLeaks':
+      case 'detectOpenHandles':
+      case 'errorOnDeprecated':
+      case 'expand':
+      case 'extraGlobals':
+      case 'globals':
+      case 'findRelatedTests':
+      case 'forceCoverageMatch':
+      case 'forceExit':
+      case 'lastCommit':
+      case 'listTests':
+      case 'logHeapUsage':
+      case 'maxConcurrency':
+      case 'mapCoverage':
+      case 'name':
+      case 'noStackTrace':
+      case 'notify':
+      case 'notifyMode':
+      case 'onlyChanged':
+      case 'outputFile':
+      case 'passWithNoTests':
+      case 'replname':
+      case 'reporters':
+      case 'resetMocks':
+      case 'resetModules':
+      case 'restoreMocks':
+      case 'rootDir':
+      case 'runTestsByPath':
+      case 'silent':
+      case 'skipFilter':
+      case 'skipNodeResolution':
+      case 'testEnvironment':
+      case 'testEnvironmentOptions':
+      case 'testFailureExitCode':
+      case 'testLocationInResults':
+      case 'testNamePattern':
+      case 'testURL':
+      case 'timers':
+      case 'useStderr':
+      case 'verbose':
+      case 'watch':
+      case 'watchAll':
+      case 'watchman':
+        value = oldOptions[key];
+        break;
+
+      case 'watchPlugins':
+        value = (oldOptions[key] || []).map(watchPlugin => {
+          if (typeof watchPlugin === 'string') {
+            return {
+              config: {},
+              path: (0, _utils.getWatchPlugin)(newOptions.resolver, {
+                filePath: watchPlugin,
+                rootDir: options.rootDir
+              })
+            };
+          } else {
+            return {
+              config: watchPlugin[1] || {},
+              path: (0, _utils.getWatchPlugin)(newOptions.resolver, {
+                filePath: watchPlugin[0],
+                rootDir: options.rootDir
+              })
+            };
+          }
+        });
+        break;
+    } // @ts-ignore: automock is missing in GlobalConfig, so what
+
+    newOptions[key] = value;
+    return newOptions;
+  }, newOptions);
+  newOptions.roots.forEach((root, i) => {
+    verifyDirectoryExists(root, `roots[${i}]`);
+  });
+
+  try {
+    // try to resolve windows short paths, ignoring errors (permission errors, mostly)
+    newOptions.cwd = (0, _realpathNative().sync)(process.cwd());
+  } catch (e) {
+    // ignored
+  }
+
+  newOptions.testSequencer = (0, _utils.getSequencer)(newOptions.resolver, {
+    filePath: options.testSequencer || _Defaults.default.testSequencer,
+    rootDir: options.rootDir
+  });
+  newOptions.nonFlagArgs = argv._;
+  newOptions.testPathPattern = buildTestPathPattern(argv);
+  newOptions.json = !!argv.json;
+  newOptions.testFailureExitCode = parseInt(newOptions.testFailureExitCode, 10);
+
+  if (
+    newOptions.lastCommit ||
+    newOptions.changedFilesWithAncestor ||
+    newOptions.changedSince
+  ) {
+    newOptions.onlyChanged = true;
+  }
+
+  if (argv.all) {
+    newOptions.onlyChanged = false;
+  } else if (newOptions.testPathPattern) {
+    // When passing a test path pattern we don't want to only monitor changed
+    // files unless `--watch` is also passed.
+    newOptions.onlyChanged = newOptions.watch;
+  }
+
+  if (!newOptions.onlyChanged) {
+    newOptions.onlyChanged = false;
+  }
+
+  if (!newOptions.lastCommit) {
+    newOptions.lastCommit = false;
+  }
+
+  if (!newOptions.onlyFailures) {
+    newOptions.onlyFailures = false;
+  }
+
+  if (!newOptions.watchAll) {
+    newOptions.watchAll = false;
+  } // as any since it can happen. We really need to fix the types here
+
+  if (newOptions.moduleNameMapper === _Defaults.default.moduleNameMapper) {
+    newOptions.moduleNameMapper = [];
+  }
+
+  newOptions.updateSnapshot =
+    argv.ci && !argv.updateSnapshot
+      ? 'none'
+      : argv.updateSnapshot
+      ? 'all'
+      : 'new';
+  newOptions.maxConcurrency = parseInt(newOptions.maxConcurrency, 10);
+  newOptions.maxWorkers = (0, _getMaxWorkers.default)(argv, options);
+
+  if (newOptions.testRegex.length && options.testMatch) {
+    throw createConfigError(
+      `  Configuration options ${_chalk().default.bold('testMatch')} and` +
+        ` ${_chalk().default.bold('testRegex')} cannot be used together.`
+    );
+  }
+
+  if (newOptions.testRegex.length && !options.testMatch) {
+    // Prevent the default testMatch conflicting with any explicitly
+    // configured `testRegex` value
+    newOptions.testMatch = [];
+  } // If argv.json is set, coverageReporters shouldn't print a text report.
+
+  if (argv.json) {
+    newOptions.coverageReporters = (newOptions.coverageReporters || []).filter(
+      reporter => reporter !== 'text'
+    );
+  } // If collectCoverage is enabled while using --findRelatedTests we need to
+  // avoid having false negatives in the generated coverage report.
+  // The following: `--findRelatedTests '/rootDir/file1.js' --coverage`
+  // Is transformed to: `--findRelatedTests '/rootDir/file1.js' --coverage --collectCoverageFrom 'file1.js'`
+  // where arguments to `--collectCoverageFrom` should be globs (or relative
+  // paths to the rootDir)
+
+  if (newOptions.collectCoverage && argv.findRelatedTests) {
+    let collectCoverageFrom = argv._.map(filename => {
+      filename = (0, _utils.replaceRootDirInPath)(options.rootDir, filename);
+      return path().isAbsolute(filename)
+        ? path().relative(options.rootDir, filename)
+        : filename;
+    }); // Don't override existing collectCoverageFrom options
+
+    if (newOptions.collectCoverageFrom) {
+      collectCoverageFrom = collectCoverageFrom.reduce((patterns, filename) => {
+        if (
+          (0, _micromatch().default)(
+            [
+              (0, _jestUtil().replacePathSepForGlob)(
+                path().relative(options.rootDir, filename)
+              )
+            ],
+            newOptions.collectCoverageFrom
+          ).length === 0
+        ) {
+          return patterns;
+        }
+
+        return [...patterns, filename];
+      }, newOptions.collectCoverageFrom);
+    }
+
+    newOptions.collectCoverageFrom = collectCoverageFrom;
+  } else if (!newOptions.collectCoverageFrom) {
+    newOptions.collectCoverageFrom = [];
+  }
+
+  if (!newOptions.findRelatedTests) {
+    newOptions.findRelatedTests = false;
+  }
+
+  if (!newOptions.projects) {
+    newOptions.projects = [];
+  }
+
+  if (!newOptions.extraGlobals) {
+    newOptions.extraGlobals = [];
+  }
+
+  if (!newOptions.forceExit) {
+    newOptions.forceExit = false;
+  }
+
+  if (!newOptions.logHeapUsage) {
+    newOptions.logHeapUsage = false;
+  }
+
+  return {
+    hasDeprecationWarnings,
+    options: newOptions
+  };
+}
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/readConfigFileAndSetRootDir.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/readConfigFileAndSetRootDir.d.ts
new file mode 100644
index 000000000..0b5a48fb6
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/readConfigFileAndSetRootDir.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+export default function readConfigFileAndSetRootDir(configPath: Config.Path): Promise<Config.InitialOptions>;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/readConfigFileAndSetRootDir.js b/node_modules/@jest/core/node_modules/jest-config/build/readConfigFileAndSetRootDir.js
new file mode 100644
index 000000000..bd1f5f928
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/readConfigFileAndSetRootDir.js
@@ -0,0 +1,157 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = readConfigFileAndSetRootDir;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _jsonlint = _interopRequireDefault(require('./vendor/jsonlint'));
+
+var _constants = require('./constants');
+
+function _importEsm() {
+  const data = _interopRequireDefault(require('./importEsm'));
+
+  _importEsm = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// @ts-ignore: vendored
+// Read the configuration and set its `rootDir`
+// 1. If it's a `package.json` file, we look into its "jest" property
+// 2. For any other file, we just require it. If we receive an 'ERR_REQUIRE_ESM'
+//    from node, perform a dynamic import instead.
+async function readConfigFileAndSetRootDir(configPath) {
+  const isJSON = configPath.endsWith(_constants.JEST_CONFIG_EXT_JSON);
+  let configObject;
+
+  try {
+    configObject = require(configPath);
+  } catch (error) {
+    if (error.code === 'ERR_REQUIRE_ESM') {
+      try {
+        const importedConfig = await (0, _importEsm().default)(configPath);
+
+        if (!importedConfig.default) {
+          throw new Error(
+            `Jest: Failed to load mjs config file ${configPath} - did you use a default export?`
+          );
+        }
+
+        configObject = importedConfig.default;
+      } catch (innerError) {
+        if (innerError.message === 'Not supported') {
+          throw new Error(
+            `Jest: Your version of Node does not support dynamic import - please enable it or use a .cjs file extension for file ${configPath}`
+          );
+        }
+
+        throw innerError;
+      }
+    } else if (isJSON) {
+      throw new Error(
+        `Jest: Failed to parse config file ${configPath}\n` +
+          `  ${_jsonlint.default.errors(fs().readFileSync(configPath, 'utf8'))}`
+      );
+    } else {
+      throw error;
+    }
+  }
+
+  if (configPath.endsWith(_constants.PACKAGE_JSON)) {
+    // Event if there's no "jest" property in package.json we will still use
+    // an empty object.
+    configObject = configObject.jest || {};
+  }
+
+  if (configObject.rootDir) {
+    // We don't touch it if it has an absolute path specified
+    if (!path().isAbsolute(configObject.rootDir)) {
+      // otherwise, we'll resolve it relative to the file's __dirname
+      configObject.rootDir = path().resolve(
+        path().dirname(configPath),
+        configObject.rootDir
+      );
+    }
+  } else {
+    // If rootDir is not there, we'll set it to this file's __dirname
+    configObject.rootDir = path().dirname(configPath);
+  }
+
+  return configObject;
+}
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/resolveConfigPath.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/resolveConfigPath.d.ts
new file mode 100644
index 000000000..4dfebc97c
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/resolveConfigPath.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare const _default: (pathToResolve: string, cwd: string) => string;
+export default _default;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/resolveConfigPath.js b/node_modules/@jest/core/node_modules/jest-config/build/resolveConfigPath.js
new file mode 100644
index 000000000..9896ee9b9
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/resolveConfigPath.js
@@ -0,0 +1,153 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _constants = require('./constants');
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const isFile = filePath =>
+  fs().existsSync(filePath) && !fs().lstatSync(filePath).isDirectory();
+
+const getConfigFilename = ext => _constants.JEST_CONFIG_BASE_NAME + ext;
+
+var _default = (pathToResolve, cwd) => {
+  if (!path().isAbsolute(cwd)) {
+    throw new Error(`"cwd" must be an absolute path. cwd: ${cwd}`);
+  }
+
+  const absolutePath = path().isAbsolute(pathToResolve)
+    ? pathToResolve
+    : path().resolve(cwd, pathToResolve);
+
+  if (isFile(absolutePath)) {
+    return absolutePath;
+  } // This is a guard against passing non existing path as a project/config,
+  // that will otherwise result in a very confusing situation.
+  // e.g.
+  // With a directory structure like this:
+  //   my_project/
+  //     packcage.json
+  //
+  // Passing a `my_project/some_directory_that_doesnt_exist` as a project
+  // name will resolve into a (possibly empty) `my_project/package.json` and
+  // try to run all tests it finds under `my_project` directory.
+
+  if (!fs().existsSync(absolutePath)) {
+    throw new Error(
+      `Can't find a root directory while resolving a config file path.\n` +
+        `Provided path to resolve: ${pathToResolve}\n` +
+        `cwd: ${cwd}`
+    );
+  }
+
+  return resolveConfigPathByTraversing(absolutePath, pathToResolve, cwd);
+};
+
+exports.default = _default;
+
+const resolveConfigPathByTraversing = (pathToResolve, initialPath, cwd) => {
+  const jestConfig = _constants.JEST_CONFIG_EXT_ORDER.map(ext =>
+    path().resolve(pathToResolve, getConfigFilename(ext))
+  ).find(isFile);
+
+  if (jestConfig) {
+    return jestConfig;
+  }
+
+  const packageJson = path().resolve(pathToResolve, _constants.PACKAGE_JSON);
+
+  if (isFile(packageJson)) {
+    return packageJson;
+  } // This is the system root.
+  // We tried everything, config is nowhere to be found ¯\_(ツ)_/¯
+
+  if (pathToResolve === path().dirname(pathToResolve)) {
+    throw new Error(makeResolutionErrorMessage(initialPath, cwd));
+  } // go up a level and try it again
+
+  return resolveConfigPathByTraversing(
+    path().dirname(pathToResolve),
+    initialPath,
+    cwd
+  );
+};
+
+const makeResolutionErrorMessage = (initialPath, cwd) =>
+  'Could not find a config file based on provided values:\n' +
+  `path: "${initialPath}"\n` +
+  `cwd: "${cwd}"\n` +
+  'Config paths must be specified by either a direct path to a config\n' +
+  'file, or a path to a directory. If directory is given, Jest will try to\n' +
+  `traverse directory tree up, until it finds one of those files in exact order: ${_constants.JEST_CONFIG_EXT_ORDER.map(
+    ext => `"${getConfigFilename(ext)}"`
+  ).join(' or ')}.`;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/setFromArgv.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/setFromArgv.d.ts
new file mode 100644
index 000000000..1e45a955a
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/setFromArgv.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+export default function setFromArgv(options: Config.InitialOptions, argv: Config.Argv): Config.InitialOptions;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/setFromArgv.js b/node_modules/@jest/core/node_modules/jest-config/build/setFromArgv.js
new file mode 100644
index 000000000..6990440c3
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/setFromArgv.js
@@ -0,0 +1,67 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = setFromArgv;
+
+var _utils = require('./utils');
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const specialArgs = ['_', '$0', 'h', 'help', 'config'];
+
+function setFromArgv(options, argv) {
+  const argvToOptions = Object.keys(argv)
+    .filter(key => argv[key] !== undefined && specialArgs.indexOf(key) === -1)
+    .reduce((options, key) => {
+      switch (key) {
+        case 'coverage':
+          options.collectCoverage = argv[key];
+          break;
+
+        case 'json':
+          options.useStderr = argv[key];
+          break;
+
+        case 'watchAll':
+          options.watch = false;
+          options.watchAll = argv[key];
+          break;
+
+        case 'env':
+          options.testEnvironment = argv[key];
+          break;
+
+        case 'config':
+          break;
+
+        case 'coverageThreshold':
+        case 'globals':
+        case 'moduleNameMapper':
+        case 'transform':
+        case 'haste':
+          const str = argv[key];
+
+          if ((0, _utils.isJSONString)(str)) {
+            options[key] = JSON.parse(str);
+          }
+
+          break;
+
+        default:
+          options[key] = argv[key];
+      }
+
+      return options;
+    }, {});
+  return {
+    ...options,
+    ...((0, _utils.isJSONString)(argv.config) ? JSON.parse(argv.config) : null),
+    ...argvToOptions
+  };
+}
diff --git a/node_modules/jest-config/build/ts3.4/Defaults.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/Defaults.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/Defaults.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/Defaults.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/Deprecated.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/Deprecated.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/Deprecated.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/Deprecated.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/Descriptions.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/Descriptions.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/Descriptions.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/Descriptions.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/ReporterValidationErrors.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/ReporterValidationErrors.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/ReporterValidationErrors.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/ReporterValidationErrors.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/ValidConfig.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/ValidConfig.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/ValidConfig.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/ValidConfig.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/color.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/color.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/color.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/color.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/constants.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/constants.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/constants.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/constants.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/getCacheDirectory.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/getCacheDirectory.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/getCacheDirectory.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/getCacheDirectory.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/getMaxWorkers.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/getMaxWorkers.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/getMaxWorkers.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/getMaxWorkers.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/importEsm.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/importEsm.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/importEsm.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/importEsm.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/index.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/index.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/index.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/index.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/normalize.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/normalize.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/normalize.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/normalize.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/readConfigFileAndSetRootDir.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/readConfigFileAndSetRootDir.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/readConfigFileAndSetRootDir.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/readConfigFileAndSetRootDir.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/resolveConfigPath.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/resolveConfigPath.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/resolveConfigPath.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/resolveConfigPath.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/setFromArgv.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/setFromArgv.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/setFromArgv.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/setFromArgv.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/utils.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/utils.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/utils.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/utils.d.ts
diff --git a/node_modules/jest-config/build/ts3.4/validatePattern.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/ts3.4/validatePattern.d.ts
similarity index 100%
rename from node_modules/jest-config/build/ts3.4/validatePattern.d.ts
rename to node_modules/@jest/core/node_modules/jest-config/build/ts3.4/validatePattern.d.ts
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/utils.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/utils.d.ts
new file mode 100644
index 000000000..16ba40886
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/utils.d.ts
@@ -0,0 +1,74 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+declare type ResolveOptions = {
+    rootDir: Config.Path;
+    key: string;
+    filePath: Config.Path;
+    optional?: boolean;
+};
+export declare const BULLET: string;
+export declare const DOCUMENTATION_NOTE: string;
+export declare const resolve: (resolver: string | null | undefined, { key, filePath, rootDir, optional }: ResolveOptions) => string;
+export declare const escapeGlobCharacters: (path: string) => string;
+export declare const replaceRootDirInPath: (rootDir: string, filePath: string) => string;
+declare type OrArray<T> = T | Array<T>;
+declare type ReplaceRootDirConfigObj = Record<string, Config.Path>;
+declare type ReplaceRootDirConfigValues = OrArray<ReplaceRootDirConfigObj> | OrArray<RegExp> | OrArray<Config.Path>;
+export declare const _replaceRootDirTags: <T extends ReplaceRootDirConfigValues>(rootDir: string, config: T) => T;
+export declare const resolveWithPrefix: (resolver: string | null | undefined, { filePath, humanOptionName, optionName, prefix, rootDir, }: {
+    filePath: string;
+    humanOptionName: string;
+    optionName: string;
+    prefix: string;
+    rootDir: string;
+}) => string;
+/**
+ * Finds the test environment to use:
+ *
+ * 1. looks for jest-environment-<name> relative to project.
+ * 1. looks for jest-environment-<name> relative to Jest.
+ * 1. looks for <name> relative to project.
+ * 1. looks for <name> relative to Jest.
+ */
+export declare const getTestEnvironment: ({ rootDir, testEnvironment: filePath, }: {
+    rootDir: string;
+    testEnvironment: string;
+}) => string;
+/**
+ * Finds the watch plugins to use:
+ *
+ * 1. looks for jest-watch-<name> relative to project.
+ * 1. looks for jest-watch-<name> relative to Jest.
+ * 1. looks for <name> relative to project.
+ * 1. looks for <name> relative to Jest.
+ */
+export declare const getWatchPlugin: (resolver: string | null | undefined, { filePath, rootDir }: {
+    filePath: string;
+    rootDir: string;
+}) => string;
+/**
+ * Finds the runner to use:
+ *
+ * 1. looks for jest-runner-<name> relative to project.
+ * 1. looks for jest-runner-<name> relative to Jest.
+ * 1. looks for <name> relative to project.
+ * 1. looks for <name> relative to Jest.
+ */
+export declare const getRunner: (resolver: string | null | undefined, { filePath, rootDir }: {
+    filePath: string;
+    rootDir: string;
+}) => string;
+declare type JSONString = string & {
+    readonly $$type: never;
+};
+export declare const isJSONString: (text?: string | JSONString | undefined) => text is JSONString;
+export declare const getSequencer: (resolver: string | null | undefined, { filePath, rootDir }: {
+    filePath: string;
+    rootDir: string;
+}) => string;
+export {};
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/utils.js b/node_modules/@jest/core/node_modules/jest-config/build/utils.js
new file mode 100644
index 000000000..0be254a32
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/utils.js
@@ -0,0 +1,313 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.getSequencer = exports.isJSONString = exports.getRunner = exports.getWatchPlugin = exports.getTestEnvironment = exports.resolveWithPrefix = exports._replaceRootDirTags = exports.replaceRootDirInPath = exports.escapeGlobCharacters = exports.resolve = exports.DOCUMENTATION_NOTE = exports.BULLET = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestValidate() {
+  const data = require('jest-validate');
+
+  _jestValidate = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestResolve() {
+  const data = _interopRequireDefault(require('jest-resolve'));
+
+  _jestResolve = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const BULLET = _chalk().default.bold('\u25cf ');
+
+exports.BULLET = BULLET;
+const DOCUMENTATION_NOTE = `  ${_chalk().default.bold(
+  'Configuration Documentation:'
+)}
+  https://jestjs.io/docs/configuration.html
+`;
+exports.DOCUMENTATION_NOTE = DOCUMENTATION_NOTE;
+
+const createValidationError = message =>
+  new (_jestValidate().ValidationError)(
+    `${BULLET}Validation Error`,
+    message,
+    DOCUMENTATION_NOTE
+  );
+
+const resolve = (resolver, {key, filePath, rootDir, optional}) => {
+  const module = _jestResolve().default.findNodeModule(
+    replaceRootDirInPath(rootDir, filePath),
+    {
+      basedir: rootDir,
+      resolver: resolver || undefined
+    }
+  );
+
+  if (!module && !optional) {
+    throw createValidationError(`  Module ${_chalk().default.bold(
+      filePath
+    )} in the ${_chalk().default.bold(key)} option was not found.
+         ${_chalk().default.bold('<rootDir>')} is: ${rootDir}`);
+  } /// can cast as string since nulls will be thrown
+
+  return module;
+};
+
+exports.resolve = resolve;
+
+const escapeGlobCharacters = path => path.replace(/([()*{}\[\]!?\\])/g, '\\$1');
+
+exports.escapeGlobCharacters = escapeGlobCharacters;
+
+const replaceRootDirInPath = (rootDir, filePath) => {
+  if (!/^<rootDir>/.test(filePath)) {
+    return filePath;
+  }
+
+  return path().resolve(
+    rootDir,
+    path().normalize('./' + filePath.substr('<rootDir>'.length))
+  );
+};
+
+exports.replaceRootDirInPath = replaceRootDirInPath;
+
+const _replaceRootDirInObject = (rootDir, config) => {
+  const newConfig = {};
+
+  for (const configKey in config) {
+    newConfig[configKey] =
+      configKey === 'rootDir'
+        ? config[configKey]
+        : _replaceRootDirTags(rootDir, config[configKey]);
+  }
+
+  return newConfig;
+};
+
+const _replaceRootDirTags = (rootDir, config) => {
+  if (config == null) {
+    return config;
+  }
+
+  switch (typeof config) {
+    case 'object':
+      if (Array.isArray(config)) {
+        /// can be string[] or {}[]
+        return config.map(item => _replaceRootDirTags(rootDir, item));
+      }
+
+      if (config instanceof RegExp) {
+        return config;
+      }
+
+      return _replaceRootDirInObject(rootDir, config);
+
+    case 'string':
+      return replaceRootDirInPath(rootDir, config);
+  }
+
+  return config;
+};
+
+exports._replaceRootDirTags = _replaceRootDirTags;
+
+const resolveWithPrefix = (
+  resolver,
+  {filePath, humanOptionName, optionName, prefix, rootDir}
+) => {
+  const fileName = replaceRootDirInPath(rootDir, filePath);
+
+  let module = _jestResolve().default.findNodeModule(`${prefix}${fileName}`, {
+    basedir: rootDir,
+    resolver: resolver || undefined
+  });
+
+  if (module) {
+    return module;
+  }
+
+  try {
+    return require.resolve(`${prefix}${fileName}`);
+  } catch (e) {}
+
+  module = _jestResolve().default.findNodeModule(fileName, {
+    basedir: rootDir,
+    resolver: resolver || undefined
+  });
+
+  if (module) {
+    return module;
+  }
+
+  try {
+    return require.resolve(fileName);
+  } catch (e) {}
+
+  throw createValidationError(
+    `  ${humanOptionName} ${_chalk().default.bold(
+      fileName
+    )} cannot be found. Make sure the ${_chalk().default.bold(
+      optionName
+    )} configuration option points to an existing node module.`
+  );
+};
+/**
+ * Finds the test environment to use:
+ *
+ * 1. looks for jest-environment-<name> relative to project.
+ * 1. looks for jest-environment-<name> relative to Jest.
+ * 1. looks for <name> relative to project.
+ * 1. looks for <name> relative to Jest.
+ */
+
+exports.resolveWithPrefix = resolveWithPrefix;
+
+const getTestEnvironment = ({rootDir, testEnvironment: filePath}) =>
+  resolveWithPrefix(undefined, {
+    filePath,
+    humanOptionName: 'Test environment',
+    optionName: 'testEnvironment',
+    prefix: 'jest-environment-',
+    rootDir
+  });
+/**
+ * Finds the watch plugins to use:
+ *
+ * 1. looks for jest-watch-<name> relative to project.
+ * 1. looks for jest-watch-<name> relative to Jest.
+ * 1. looks for <name> relative to project.
+ * 1. looks for <name> relative to Jest.
+ */
+
+exports.getTestEnvironment = getTestEnvironment;
+
+const getWatchPlugin = (resolver, {filePath, rootDir}) =>
+  resolveWithPrefix(resolver, {
+    filePath,
+    humanOptionName: 'Watch plugin',
+    optionName: 'watchPlugins',
+    prefix: 'jest-watch-',
+    rootDir
+  });
+/**
+ * Finds the runner to use:
+ *
+ * 1. looks for jest-runner-<name> relative to project.
+ * 1. looks for jest-runner-<name> relative to Jest.
+ * 1. looks for <name> relative to project.
+ * 1. looks for <name> relative to Jest.
+ */
+
+exports.getWatchPlugin = getWatchPlugin;
+
+const getRunner = (resolver, {filePath, rootDir}) =>
+  resolveWithPrefix(resolver, {
+    filePath,
+    humanOptionName: 'Jest Runner',
+    optionName: 'runner',
+    prefix: 'jest-runner-',
+    rootDir
+  });
+
+exports.getRunner = getRunner;
+
+// newtype
+const isJSONString = text =>
+  text != null &&
+  typeof text === 'string' &&
+  text.startsWith('{') &&
+  text.endsWith('}');
+
+exports.isJSONString = isJSONString;
+
+const getSequencer = (resolver, {filePath, rootDir}) =>
+  resolveWithPrefix(resolver, {
+    filePath,
+    humanOptionName: 'Jest Sequencer',
+    optionName: 'testSequencer',
+    prefix: 'jest-sequencer-',
+    rootDir
+  });
+
+exports.getSequencer = getSequencer;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/validatePattern.d.ts b/node_modules/@jest/core/node_modules/jest-config/build/validatePattern.d.ts
new file mode 100644
index 000000000..8f15207c5
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/validatePattern.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function validatePattern(pattern?: string): boolean;
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/validatePattern.js b/node_modules/@jest/core/node_modules/jest-config/build/validatePattern.js
new file mode 100644
index 000000000..36ef2a0c7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/validatePattern.js
@@ -0,0 +1,25 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = validatePattern;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function validatePattern(pattern) {
+  if (pattern) {
+    try {
+      // eslint-disable-next-line no-new
+      new RegExp(pattern, 'i');
+    } catch (e) {
+      return false;
+    }
+  }
+
+  return true;
+}
diff --git a/node_modules/@jest/core/node_modules/jest-config/build/vendor/jsonlint.js b/node_modules/@jest/core/node_modules/jest-config/build/vendor/jsonlint.js
new file mode 100644
index 000000000..93399c561
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/build/vendor/jsonlint.js
@@ -0,0 +1,917 @@
+'use strict';
+
+// From: https://github.com/zaach/jsonlint
+// Vendored in Jest to avoid jsonlint's transitive dependencies.
+
+/* eslint-disable */
+var jsonlint = (function () {
+  var parser = {
+    trace: function trace() {},
+    yy: {},
+    symbols_: {
+      error: 2,
+      JSONString: 3,
+      STRING: 4,
+      JSONNumber: 5,
+      NUMBER: 6,
+      JSONNullLiteral: 7,
+      NULL: 8,
+      JSONBooleanLiteral: 9,
+      TRUE: 10,
+      FALSE: 11,
+      JSONText: 12,
+      JSONValue: 13,
+      EOF: 14,
+      JSONObject: 15,
+      JSONArray: 16,
+      '{': 17,
+      '}': 18,
+      JSONMemberList: 19,
+      JSONMember: 20,
+      ':': 21,
+      ',': 22,
+      '[': 23,
+      ']': 24,
+      JSONElementList: 25,
+      $accept: 0,
+      $end: 1
+    },
+    terminals_: {
+      2: 'error',
+      4: 'STRING',
+      6: 'NUMBER',
+      8: 'NULL',
+      10: 'TRUE',
+      11: 'FALSE',
+      14: 'EOF',
+      17: '{',
+      18: '}',
+      21: ':',
+      22: ',',
+      23: '[',
+      24: ']'
+    },
+    productions_: [
+      0,
+      [3, 1],
+      [5, 1],
+      [7, 1],
+      [9, 1],
+      [9, 1],
+      [12, 2],
+      [13, 1],
+      [13, 1],
+      [13, 1],
+      [13, 1],
+      [13, 1],
+      [13, 1],
+      [15, 2],
+      [15, 3],
+      [20, 3],
+      [19, 1],
+      [19, 3],
+      [16, 2],
+      [16, 3],
+      [25, 1],
+      [25, 3]
+    ],
+    performAction: function anonymous(
+      yytext,
+      yyleng,
+      yylineno,
+      yy,
+      yystate,
+      $$,
+      _$
+    ) {
+      var $0 = $$.length - 1;
+
+      switch (yystate) {
+        case 1:
+          // replace escaped characters with actual character
+          this.$ = yytext
+            .replace(/\\(\\|")/g, '$' + '1')
+            .replace(/\\n/g, '\n')
+            .replace(/\\r/g, '\r')
+            .replace(/\\t/g, '\t')
+            .replace(/\\v/g, '\v')
+            .replace(/\\f/g, '\f')
+            .replace(/\\b/g, '\b');
+          break;
+
+        case 2:
+          this.$ = Number(yytext);
+          break;
+
+        case 3:
+          this.$ = null;
+          break;
+
+        case 4:
+          this.$ = true;
+          break;
+
+        case 5:
+          this.$ = false;
+          break;
+
+        case 6:
+          return (this.$ = $$[$0 - 1]);
+          break;
+
+        case 13:
+          this.$ = {};
+          break;
+
+        case 14:
+          this.$ = $$[$0 - 1];
+          break;
+
+        case 15:
+          this.$ = [$$[$0 - 2], $$[$0]];
+          break;
+
+        case 16:
+          this.$ = {};
+          this.$[$$[$0][0]] = $$[$0][1];
+          break;
+
+        case 17:
+          this.$ = $$[$0 - 2];
+          $$[$0 - 2][$$[$0][0]] = $$[$0][1];
+          break;
+
+        case 18:
+          this.$ = [];
+          break;
+
+        case 19:
+          this.$ = $$[$0 - 1];
+          break;
+
+        case 20:
+          this.$ = [$$[$0]];
+          break;
+
+        case 21:
+          this.$ = $$[$0 - 2];
+          $$[$0 - 2].push($$[$0]);
+          break;
+      }
+    },
+    table: [
+      {
+        3: 5,
+        4: [1, 12],
+        5: 6,
+        6: [1, 13],
+        7: 3,
+        8: [1, 9],
+        9: 4,
+        10: [1, 10],
+        11: [1, 11],
+        12: 1,
+        13: 2,
+        15: 7,
+        16: 8,
+        17: [1, 14],
+        23: [1, 15]
+      },
+      {
+        1: [3]
+      },
+      {
+        14: [1, 16]
+      },
+      {
+        14: [2, 7],
+        18: [2, 7],
+        22: [2, 7],
+        24: [2, 7]
+      },
+      {
+        14: [2, 8],
+        18: [2, 8],
+        22: [2, 8],
+        24: [2, 8]
+      },
+      {
+        14: [2, 9],
+        18: [2, 9],
+        22: [2, 9],
+        24: [2, 9]
+      },
+      {
+        14: [2, 10],
+        18: [2, 10],
+        22: [2, 10],
+        24: [2, 10]
+      },
+      {
+        14: [2, 11],
+        18: [2, 11],
+        22: [2, 11],
+        24: [2, 11]
+      },
+      {
+        14: [2, 12],
+        18: [2, 12],
+        22: [2, 12],
+        24: [2, 12]
+      },
+      {
+        14: [2, 3],
+        18: [2, 3],
+        22: [2, 3],
+        24: [2, 3]
+      },
+      {
+        14: [2, 4],
+        18: [2, 4],
+        22: [2, 4],
+        24: [2, 4]
+      },
+      {
+        14: [2, 5],
+        18: [2, 5],
+        22: [2, 5],
+        24: [2, 5]
+      },
+      {
+        14: [2, 1],
+        18: [2, 1],
+        21: [2, 1],
+        22: [2, 1],
+        24: [2, 1]
+      },
+      {
+        14: [2, 2],
+        18: [2, 2],
+        22: [2, 2],
+        24: [2, 2]
+      },
+      {
+        3: 20,
+        4: [1, 12],
+        18: [1, 17],
+        19: 18,
+        20: 19
+      },
+      {
+        3: 5,
+        4: [1, 12],
+        5: 6,
+        6: [1, 13],
+        7: 3,
+        8: [1, 9],
+        9: 4,
+        10: [1, 10],
+        11: [1, 11],
+        13: 23,
+        15: 7,
+        16: 8,
+        17: [1, 14],
+        23: [1, 15],
+        24: [1, 21],
+        25: 22
+      },
+      {
+        1: [2, 6]
+      },
+      {
+        14: [2, 13],
+        18: [2, 13],
+        22: [2, 13],
+        24: [2, 13]
+      },
+      {
+        18: [1, 24],
+        22: [1, 25]
+      },
+      {
+        18: [2, 16],
+        22: [2, 16]
+      },
+      {
+        21: [1, 26]
+      },
+      {
+        14: [2, 18],
+        18: [2, 18],
+        22: [2, 18],
+        24: [2, 18]
+      },
+      {
+        22: [1, 28],
+        24: [1, 27]
+      },
+      {
+        22: [2, 20],
+        24: [2, 20]
+      },
+      {
+        14: [2, 14],
+        18: [2, 14],
+        22: [2, 14],
+        24: [2, 14]
+      },
+      {
+        3: 20,
+        4: [1, 12],
+        20: 29
+      },
+      {
+        3: 5,
+        4: [1, 12],
+        5: 6,
+        6: [1, 13],
+        7: 3,
+        8: [1, 9],
+        9: 4,
+        10: [1, 10],
+        11: [1, 11],
+        13: 30,
+        15: 7,
+        16: 8,
+        17: [1, 14],
+        23: [1, 15]
+      },
+      {
+        14: [2, 19],
+        18: [2, 19],
+        22: [2, 19],
+        24: [2, 19]
+      },
+      {
+        3: 5,
+        4: [1, 12],
+        5: 6,
+        6: [1, 13],
+        7: 3,
+        8: [1, 9],
+        9: 4,
+        10: [1, 10],
+        11: [1, 11],
+        13: 31,
+        15: 7,
+        16: 8,
+        17: [1, 14],
+        23: [1, 15]
+      },
+      {
+        18: [2, 17],
+        22: [2, 17]
+      },
+      {
+        18: [2, 15],
+        22: [2, 15]
+      },
+      {
+        22: [2, 21],
+        24: [2, 21]
+      }
+    ],
+    defaultActions: {
+      16: [2, 6]
+    },
+    parseError: function parseError(str, hash) {
+      throw new Error(str);
+    },
+    parse: function parse(input) {
+      var self = this,
+        stack = [0],
+        vstack = [null],
+        // semantic value stack
+        lstack = [],
+        // location stack
+        table = this.table,
+        yytext = '',
+        yylineno = 0,
+        yyleng = 0,
+        recovering = 0,
+        TERROR = 2,
+        EOF = 1; //this.reductionCount = this.shiftCount = 0;
+
+      this.lexer.setInput(input);
+      this.lexer.yy = this.yy;
+      this.yy.lexer = this.lexer;
+      if (typeof this.lexer.yylloc == 'undefined') this.lexer.yylloc = {};
+      var yyloc = this.lexer.yylloc;
+      lstack.push(yyloc);
+      if (typeof this.yy.parseError === 'function')
+        this.parseError = this.yy.parseError;
+
+      function popStack(n) {
+        stack.length = stack.length - 2 * n;
+        vstack.length = vstack.length - n;
+        lstack.length = lstack.length - n;
+      }
+
+      function lex() {
+        var token;
+        token = self.lexer.lex() || 1; // $end = 1
+        // if token isn't its numeric value, convert
+
+        if (typeof token !== 'number') {
+          token = self.symbols_[token] || token;
+        }
+
+        return token;
+      }
+
+      var symbol,
+        preErrorSymbol,
+        state,
+        action,
+        a,
+        r,
+        yyval = {},
+        p,
+        len,
+        newState,
+        expected;
+
+      while (true) {
+        // retrieve state number from top of stack
+        state = stack[stack.length - 1]; // use default actions if available
+
+        if (this.defaultActions[state]) {
+          action = this.defaultActions[state];
+        } else {
+          if (symbol == null) symbol = lex(); // read action for current state and first input
+
+          action = table[state] && table[state][symbol];
+        } // handle parse error
+
+        _handle_error: if (
+          typeof action === 'undefined' ||
+          !action.length ||
+          !action[0]
+        ) {
+          if (!recovering) {
+            // Report error
+            expected = [];
+
+            for (p in table[state])
+              if (this.terminals_[p] && p > 2) {
+                expected.push("'" + this.terminals_[p] + "'");
+              }
+
+            var errStr = '';
+
+            if (this.lexer.showPosition) {
+              errStr =
+                'Parse error on line ' +
+                (yylineno + 1) +
+                ':\n' +
+                this.lexer.showPosition() +
+                '\nExpecting ' +
+                expected.join(', ') +
+                ", got '" +
+                this.terminals_[symbol] +
+                "'";
+            } else {
+              errStr =
+                'Parse error on line ' +
+                (yylineno + 1) +
+                ': Unexpected ' +
+                (symbol == 1
+                  ? /*EOF*/
+                    'end of input'
+                  : "'" + (this.terminals_[symbol] || symbol) + "'");
+            }
+
+            this.parseError(errStr, {
+              text: this.lexer.match,
+              token: this.terminals_[symbol] || symbol,
+              line: this.lexer.yylineno,
+              loc: yyloc,
+              expected: expected
+            });
+          } // just recovered from another error
+
+          if (recovering == 3) {
+            if (symbol == EOF) {
+              throw new Error(errStr || 'Parsing halted.');
+            } // discard current lookahead and grab another
+
+            yyleng = this.lexer.yyleng;
+            yytext = this.lexer.yytext;
+            yylineno = this.lexer.yylineno;
+            yyloc = this.lexer.yylloc;
+            symbol = lex();
+          } // try to recover from error
+
+          while (1) {
+            // check for error recovery rule in this state
+            if (TERROR.toString() in table[state]) {
+              break;
+            }
+
+            if (state == 0) {
+              throw new Error(errStr || 'Parsing halted.');
+            }
+
+            popStack(1);
+            state = stack[stack.length - 1];
+          }
+
+          preErrorSymbol = symbol; // save the lookahead token
+
+          symbol = TERROR; // insert generic error symbol as new lookahead
+
+          state = stack[stack.length - 1];
+          action = table[state] && table[state][TERROR];
+          recovering = 3; // allow 3 real symbols to be shifted before reporting a new error
+        } // this shouldn't happen, unless resolve defaults are off
+
+        if (action[0] instanceof Array && action.length > 1) {
+          throw new Error(
+            'Parse Error: multiple actions possible at state: ' +
+              state +
+              ', token: ' +
+              symbol
+          );
+        }
+
+        switch (action[0]) {
+          case 1:
+            // shift
+            //this.shiftCount++;
+            stack.push(symbol);
+            vstack.push(this.lexer.yytext);
+            lstack.push(this.lexer.yylloc);
+            stack.push(action[1]); // push state
+
+            symbol = null;
+
+            if (!preErrorSymbol) {
+              // normal execution/no error
+              yyleng = this.lexer.yyleng;
+              yytext = this.lexer.yytext;
+              yylineno = this.lexer.yylineno;
+              yyloc = this.lexer.yylloc;
+              if (recovering > 0) recovering--;
+            } else {
+              // error just occurred, resume old lookahead f/ before error
+              symbol = preErrorSymbol;
+              preErrorSymbol = null;
+            }
+
+            break;
+
+          case 2:
+            // reduce
+            //this.reductionCount++;
+            len = this.productions_[action[1]][1]; // perform semantic action
+
+            yyval.$ = vstack[vstack.length - len]; // default to $$ = $1
+            // default location, uses first token for firsts, last for lasts
+
+            yyval._$ = {
+              first_line: lstack[lstack.length - (len || 1)].first_line,
+              last_line: lstack[lstack.length - 1].last_line,
+              first_column: lstack[lstack.length - (len || 1)].first_column,
+              last_column: lstack[lstack.length - 1].last_column
+            };
+            r = this.performAction.call(
+              yyval,
+              yytext,
+              yyleng,
+              yylineno,
+              this.yy,
+              action[1],
+              vstack,
+              lstack
+            );
+
+            if (typeof r !== 'undefined') {
+              return r;
+            } // pop off stack
+
+            if (len) {
+              stack = stack.slice(0, -1 * len * 2);
+              vstack = vstack.slice(0, -1 * len);
+              lstack = lstack.slice(0, -1 * len);
+            }
+
+            stack.push(this.productions_[action[1]][0]); // push nonterminal (reduce)
+
+            vstack.push(yyval.$);
+            lstack.push(yyval._$); // goto new state = table[STATE][NONTERMINAL]
+
+            newState = table[stack[stack.length - 2]][stack[stack.length - 1]];
+            stack.push(newState);
+            break;
+
+          case 3:
+            // accept
+            return true;
+        }
+      }
+
+      return true;
+    }
+  };
+  /* Jison generated lexer */
+
+  var lexer = (function () {
+    var lexer = {
+      EOF: 1,
+      parseError: function parseError(str, hash) {
+        if (this.yy.parseError) {
+          this.yy.parseError(str, hash);
+        } else {
+          throw new Error(str);
+        }
+      },
+      setInput: function (input) {
+        this._input = input;
+        this._more = this._less = this.done = false;
+        this.yylineno = this.yyleng = 0;
+        this.yytext = this.matched = this.match = '';
+        this.conditionStack = ['INITIAL'];
+        this.yylloc = {
+          first_line: 1,
+          first_column: 0,
+          last_line: 1,
+          last_column: 0
+        };
+        return this;
+      },
+      input: function () {
+        var ch = this._input[0];
+        this.yytext += ch;
+        this.yyleng++;
+        this.match += ch;
+        this.matched += ch;
+        var lines = ch.match(/\n/);
+        if (lines) this.yylineno++;
+        this._input = this._input.slice(1);
+        return ch;
+      },
+      unput: function (ch) {
+        this._input = ch + this._input;
+        return this;
+      },
+      more: function () {
+        this._more = true;
+        return this;
+      },
+      less: function (n) {
+        this._input = this.match.slice(n) + this._input;
+      },
+      pastInput: function () {
+        var past = this.matched.substr(
+          0,
+          this.matched.length - this.match.length
+        );
+        return (
+          (past.length > 20 ? '...' : '') + past.substr(-20).replace(/\n/g, '')
+        );
+      },
+      upcomingInput: function () {
+        var next = this.match;
+
+        if (next.length < 20) {
+          next += this._input.substr(0, 20 - next.length);
+        }
+
+        return (next.substr(0, 20) + (next.length > 20 ? '...' : '')).replace(
+          /\n/g,
+          ''
+        );
+      },
+      showPosition: function () {
+        var pre = this.pastInput();
+        var c = new Array(pre.length + 1).join('-');
+        return pre + this.upcomingInput() + '\n' + c + '^';
+      },
+      next: function () {
+        if (this.done) {
+          return this.EOF;
+        }
+
+        if (!this._input) this.done = true;
+        var token, match, tempMatch, index, col, lines;
+
+        if (!this._more) {
+          this.yytext = '';
+          this.match = '';
+        }
+
+        var rules = this._currentRules();
+
+        for (var i = 0; i < rules.length; i++) {
+          tempMatch = this._input.match(this.rules[rules[i]]);
+
+          if (tempMatch && (!match || tempMatch[0].length > match[0].length)) {
+            match = tempMatch;
+            index = i;
+            if (!this.options.flex) break;
+          }
+        }
+
+        if (match) {
+          lines = match[0].match(/\n.*/g);
+          if (lines) this.yylineno += lines.length;
+          this.yylloc = {
+            first_line: this.yylloc.last_line,
+            last_line: this.yylineno + 1,
+            first_column: this.yylloc.last_column,
+            last_column: lines
+              ? lines[lines.length - 1].length - 1
+              : this.yylloc.last_column + match[0].length
+          };
+          this.yytext += match[0];
+          this.match += match[0];
+          this.yyleng = this.yytext.length;
+          this._more = false;
+          this._input = this._input.slice(match[0].length);
+          this.matched += match[0];
+          token = this.performAction.call(
+            this,
+            this.yy,
+            this,
+            rules[index],
+            this.conditionStack[this.conditionStack.length - 1]
+          );
+          if (this.done && this._input) this.done = false;
+          if (token) return token;
+          else return;
+        }
+
+        if (this._input === '') {
+          return this.EOF;
+        } else {
+          this.parseError(
+            'Lexical error on line ' +
+              (this.yylineno + 1) +
+              '. Unrecognized text.\n' +
+              this.showPosition(),
+            {
+              text: '',
+              token: null,
+              line: this.yylineno
+            }
+          );
+        }
+      },
+      lex: function lex() {
+        var r = this.next();
+
+        if (typeof r !== 'undefined') {
+          return r;
+        } else {
+          return this.lex();
+        }
+      },
+      begin: function begin(condition) {
+        this.conditionStack.push(condition);
+      },
+      popState: function popState() {
+        return this.conditionStack.pop();
+      },
+      _currentRules: function _currentRules() {
+        return this.conditions[
+          this.conditionStack[this.conditionStack.length - 1]
+        ].rules;
+      },
+      topState: function () {
+        return this.conditionStack[this.conditionStack.length - 2];
+      },
+      pushState: function begin(condition) {
+        this.begin(condition);
+      }
+    };
+    lexer.options = {};
+
+    lexer.performAction = function anonymous(
+      yy,
+      yy_,
+      $avoiding_name_collisions,
+      YY_START
+    ) {
+      var YYSTATE = YY_START;
+
+      switch ($avoiding_name_collisions) {
+        case 0:
+          /* skip whitespace */
+          break;
+
+        case 1:
+          return 6;
+          break;
+
+        case 2:
+          yy_.yytext = yy_.yytext.substr(1, yy_.yyleng - 2);
+          return 4;
+          break;
+
+        case 3:
+          return 17;
+          break;
+
+        case 4:
+          return 18;
+          break;
+
+        case 5:
+          return 23;
+          break;
+
+        case 6:
+          return 24;
+          break;
+
+        case 7:
+          return 22;
+          break;
+
+        case 8:
+          return 21;
+          break;
+
+        case 9:
+          return 10;
+          break;
+
+        case 10:
+          return 11;
+          break;
+
+        case 11:
+          return 8;
+          break;
+
+        case 12:
+          return 14;
+          break;
+
+        case 13:
+          return 'INVALID';
+          break;
+      }
+    };
+
+    lexer.rules = [
+      /^(?:\s+)/,
+      /^(?:(-?([0-9]|[1-9][0-9]+))(\.[0-9]+)?([eE][-+]?[0-9]+)?\b)/,
+      /^(?:"(?:\\[\\"bfnrt/]|\\u[a-fA-F0-9]{4}|[^\\\0-\x09\x0a-\x1f"])*")/,
+      /^(?:\{)/,
+      /^(?:\})/,
+      /^(?:\[)/,
+      /^(?:\])/,
+      /^(?:,)/,
+      /^(?::)/,
+      /^(?:true\b)/,
+      /^(?:false\b)/,
+      /^(?:null\b)/,
+      /^(?:$)/,
+      /^(?:.)/
+    ];
+    lexer.conditions = {
+      INITIAL: {
+        rules: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13],
+        inclusive: true
+      }
+    };
+    return lexer;
+  })();
+
+  parser.lexer = lexer;
+  return parser;
+})();
+
+exports.parser = jsonlint;
+
+exports.errors = function (input) {
+  try {
+    this.parse(input);
+  } catch (e) {
+    return e.stack;
+  }
+};
+
+exports.parse = function () {
+  return jsonlint.parse.apply(jsonlint, arguments);
+};
+
+exports.main = function commonjsMain(args) {
+  if (!args[1]) throw new Error('Usage: ' + args[0] + ' FILE');
+
+  if (typeof process !== 'undefined') {
+    var source = require('fs').readFileSync(
+      require('path').join(process.cwd(), args[1]),
+      'utf8'
+    );
+  } else {
+    var cwd = require('file').path(require('file').cwd());
+
+    var source = cwd.join(args[1]).read({
+      charset: 'utf-8'
+    });
+  }
+
+  return exports.parser.parse(source);
+};
diff --git a/node_modules/@jest/core/node_modules/jest-config/package.json b/node_modules/@jest/core/node_modules/jest-config/package.json
new file mode 100644
index 000000000..8841a889b
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-config/package.json
@@ -0,0 +1,88 @@
+{
+  "_args": [
+    [
+      "jest-config@25.5.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-config@25.5.4",
+  "_id": "jest-config@25.5.4",
+  "_inBundle": false,
+  "_integrity": "sha512-SZwR91SwcdK6bz7Gco8qL7YY2sx8tFJYzvg216DLihTWf+LKY/DoJXpM9nTzYakSyfblbqeU48p/p7Jzy05Atg==",
+  "_location": "/@jest/core/jest-config",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-config@25.5.4",
+    "name": "jest-config",
+    "escapedName": "jest-config",
+    "rawSpec": "25.5.4",
+    "saveSpec": null,
+    "fetchSpec": "25.5.4"
+  },
+  "_requiredBy": [
+    "/@jest/core",
+    "/@jest/core/jest-runner",
+    "/@jest/core/jest-runtime"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-config/-/jest-config-25.5.4.tgz",
+  "_spec": "25.5.4",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@babel/core": "^7.1.0",
+    "@jest/test-sequencer": "^25.5.4",
+    "@jest/types": "^25.5.0",
+    "babel-jest": "^25.5.1",
+    "chalk": "^3.0.0",
+    "deepmerge": "^4.2.2",
+    "glob": "^7.1.1",
+    "graceful-fs": "^4.2.4",
+    "jest-environment-jsdom": "^25.5.0",
+    "jest-environment-node": "^25.5.0",
+    "jest-get-type": "^25.2.6",
+    "jest-jasmine2": "^25.5.4",
+    "jest-regex-util": "^25.2.6",
+    "jest-resolve": "^25.5.1",
+    "jest-util": "^25.5.0",
+    "jest-validate": "^25.5.0",
+    "micromatch": "^4.0.2",
+    "pretty-format": "^25.5.0",
+    "realpath-native": "^2.0.0"
+  },
+  "devDependencies": {
+    "@types/babel__core": "^7.0.4",
+    "@types/glob": "^7.1.1",
+    "@types/graceful-fs": "^4.1.3",
+    "@types/micromatch": "^4.0.0"
+  },
+  "engines": {
+    "node": ">= 8.3"
+  },
+  "gitHead": "389d13724bbf6bb64dcde9700a6ecea3333942db",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-config",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-config"
+  },
+  "types": "build/index.d.ts",
+  "typesVersions": {
+    "<3.8": {
+      "build/*": [
+        "build/ts3.4/*"
+      ]
+    }
+  },
+  "version": "25.5.4"
+}
diff --git a/node_modules/jest-haste-map/node_modules/jest-worker/LICENSE b/node_modules/@jest/core/node_modules/jest-jasmine2/LICENSE
similarity index 100%
rename from node_modules/jest-haste-map/node_modules/jest-worker/LICENSE
rename to node_modules/@jest/core/node_modules/jest-jasmine2/LICENSE
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/ExpectationFailed.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ExpectationFailed.d.ts
new file mode 100644
index 000000000..657f1ccf2
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ExpectationFailed.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default class ExpectationFailed extends Error {
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/ExpectationFailed.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ExpectationFailed.js
new file mode 100644
index 000000000..cca6c96f4
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ExpectationFailed.js
@@ -0,0 +1,16 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+class ExpectationFailed extends Error {}
+
+exports.default = ExpectationFailed;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/PCancelable.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/PCancelable.js
new file mode 100644
index 000000000..31cca71b2
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/PCancelable.js
@@ -0,0 +1,85 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+'use strict';
+
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Promise = global[Symbol.for('jest-native-promise')] || global.Promise;
+
+class CancelError extends Error {
+  constructor() {
+    super('Promise was canceled');
+    this.name = 'CancelError';
+  }
+}
+
+class PCancelable {
+  static fn(fn) {
+    return function () {
+      const args = [].slice.apply(arguments);
+      return new PCancelable((onCancel, resolve, reject) => {
+        args.unshift(onCancel);
+        fn.apply(null, args).then(resolve, reject);
+      });
+    };
+  }
+
+  constructor(executor) {
+    this._pending = true;
+    this._canceled = false;
+    this._promise = new Promise((resolve, reject) => {
+      this._reject = reject;
+      return executor(
+        fn => {
+          this._cancel = fn;
+        },
+        val => {
+          this._pending = false;
+          resolve(val);
+        },
+        err => {
+          this._pending = false;
+          reject(err);
+        }
+      );
+    });
+  }
+
+  then() {
+    return this._promise.then.apply(this._promise, arguments);
+  }
+
+  catch() {
+    return this._promise.catch.apply(this._promise, arguments);
+  }
+
+  cancel() {
+    if (!this._pending || this._canceled) {
+      return;
+    }
+
+    if (typeof this._cancel === 'function') {
+      try {
+        this._cancel();
+      } catch (err) {
+        this._reject(err);
+      }
+    }
+
+    this._canceled = true;
+
+    this._reject(new CancelError());
+  }
+
+  get canceled() {
+    return this._canceled;
+  }
+}
+
+Object.setPrototypeOf(PCancelable.prototype, Promise.prototype);
+module.exports = PCancelable;
+module.exports.CancelError = CancelError;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/assertionErrorMessage.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/assertionErrorMessage.d.ts
new file mode 100644
index 000000000..8c00fb574
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/assertionErrorMessage.d.ts
@@ -0,0 +1,10 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import { DiffOptions } from 'jest-matcher-utils';
+import type { AssertionErrorWithStack } from './types';
+declare function assertionErrorMessage(error: AssertionErrorWithStack, options: DiffOptions): string;
+export default assertionErrorMessage;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/assertionErrorMessage.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/assertionErrorMessage.js
new file mode 100644
index 000000000..74558f40e
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/assertionErrorMessage.js
@@ -0,0 +1,156 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _jestMatcherUtils = require('jest-matcher-utils');
+
+var _chalk = _interopRequireDefault(require('chalk'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const assertOperatorsMap = {
+  '!=': 'notEqual',
+  '!==': 'notStrictEqual',
+  '==': 'equal',
+  '===': 'strictEqual'
+};
+const humanReadableOperators = {
+  deepEqual: 'to deeply equal',
+  deepStrictEqual: 'to deeply and strictly equal',
+  equal: 'to be equal',
+  notDeepEqual: 'not to deeply equal',
+  notDeepStrictEqual: 'not to deeply and strictly equal',
+  notEqual: 'to not be equal',
+  notStrictEqual: 'not be strictly equal',
+  strictEqual: 'to strictly be equal'
+};
+
+const getOperatorName = (operator, stack) => {
+  if (typeof operator === 'string') {
+    return assertOperatorsMap[operator] || operator;
+  }
+
+  if (stack.match('.doesNotThrow')) {
+    return 'doesNotThrow';
+  }
+
+  if (stack.match('.throws')) {
+    return 'throws';
+  } // this fallback is only needed for versions older than node 10
+
+  if (stack.match('.fail')) {
+    return 'fail';
+  }
+
+  return '';
+};
+
+const operatorMessage = operator => {
+  const niceOperatorName = getOperatorName(operator, '');
+  const humanReadableOperator = humanReadableOperators[niceOperatorName];
+  return typeof operator === 'string'
+    ? `${humanReadableOperator || niceOperatorName} to:\n`
+    : '';
+};
+
+const assertThrowingMatcherHint = operatorName =>
+  operatorName
+    ? _chalk.default.dim('assert') +
+      _chalk.default.dim('.' + operatorName + '(') +
+      _chalk.default.red('function') +
+      _chalk.default.dim(')')
+    : '';
+
+const assertMatcherHint = (operator, operatorName, expected) => {
+  let message = '';
+
+  if (operator === '==' && expected === true) {
+    message =
+      _chalk.default.dim('assert') +
+      _chalk.default.dim('(') +
+      _chalk.default.red('received') +
+      _chalk.default.dim(')');
+  } else if (operatorName) {
+    message =
+      _chalk.default.dim('assert') +
+      _chalk.default.dim('.' + operatorName + '(') +
+      _chalk.default.red('received') +
+      _chalk.default.dim(', ') +
+      _chalk.default.green('expected') +
+      _chalk.default.dim(')');
+  }
+
+  return message;
+};
+
+function assertionErrorMessage(error, options) {
+  const {expected, actual, generatedMessage, message, operator, stack} = error;
+  const diffString = (0, _jestMatcherUtils.diff)(expected, actual, options);
+  const hasCustomMessage = !generatedMessage;
+  const operatorName = getOperatorName(operator, stack);
+  const trimmedStack = stack
+    .replace(message, '')
+    .replace(/AssertionError(.*)/g, '');
+
+  if (operatorName === 'doesNotThrow') {
+    return (
+      buildHintString(assertThrowingMatcherHint(operatorName)) +
+      _chalk.default.reset(`Expected the function not to throw an error.\n`) +
+      _chalk.default.reset(`Instead, it threw:\n`) +
+      `  ${(0, _jestMatcherUtils.printReceived)(actual)}` +
+      _chalk.default.reset(
+        hasCustomMessage ? '\n\nMessage:\n  ' + message : ''
+      ) +
+      trimmedStack
+    );
+  }
+
+  if (operatorName === 'throws') {
+    return (
+      buildHintString(assertThrowingMatcherHint(operatorName)) +
+      _chalk.default.reset(`Expected the function to throw an error.\n`) +
+      _chalk.default.reset(`But it didn't throw anything.`) +
+      _chalk.default.reset(
+        hasCustomMessage ? '\n\nMessage:\n  ' + message : ''
+      ) +
+      trimmedStack
+    );
+  }
+
+  if (operatorName === 'fail') {
+    return (
+      buildHintString(assertMatcherHint(operator, operatorName, expected)) +
+      _chalk.default.reset(hasCustomMessage ? 'Message:\n  ' + message : '') +
+      trimmedStack
+    );
+  }
+
+  return (
+    buildHintString(assertMatcherHint(operator, operatorName, expected)) +
+    _chalk.default.reset(`Expected value ${operatorMessage(operator)}`) +
+    `  ${(0, _jestMatcherUtils.printExpected)(expected)}\n` +
+    _chalk.default.reset(`Received:\n`) +
+    `  ${(0, _jestMatcherUtils.printReceived)(actual)}` +
+    _chalk.default.reset(hasCustomMessage ? '\n\nMessage:\n  ' + message : '') +
+    (diffString ? `\n\nDifference:\n\n${diffString}` : '') +
+    trimmedStack
+  );
+}
+
+function buildHintString(hint) {
+  return hint ? hint + '\n\n' : '';
+}
+
+var _default = assertionErrorMessage;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/each.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/each.d.ts
new file mode 100644
index 000000000..c49770bdf
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/each.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { JestEnvironment } from '@jest/environment';
+declare const _default: (environment: JestEnvironment) => void;
+export default _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/each.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/each.js
new file mode 100644
index 000000000..0f93bb352
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/each.js
@@ -0,0 +1,34 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _jestEach = require('jest-each');
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+var _default = environment => {
+  environment.global.it.each = (0, _jestEach.bind)(environment.global.it);
+  environment.global.fit.each = (0, _jestEach.bind)(environment.global.fit);
+  environment.global.xit.each = (0, _jestEach.bind)(environment.global.xit);
+  environment.global.describe.each = (0, _jestEach.bind)(
+    environment.global.describe,
+    false
+  );
+  environment.global.xdescribe.each = (0, _jestEach.bind)(
+    environment.global.xdescribe,
+    false
+  );
+  environment.global.fdescribe.each = (0, _jestEach.bind)(
+    environment.global.fdescribe,
+    false
+  );
+};
+
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/errorOnPrivate.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/errorOnPrivate.d.ts
new file mode 100644
index 000000000..081dd14a7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/errorOnPrivate.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Global } from '@jest/types';
+export declare function installErrorOnPrivate(global: Global.Global): void;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/errorOnPrivate.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/errorOnPrivate.js
new file mode 100644
index 000000000..5b7342517
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/errorOnPrivate.js
@@ -0,0 +1,66 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.installErrorOnPrivate = installErrorOnPrivate;
+
+var _jestUtil = require('jest-util');
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// prettier-ignore
+const disabledGlobals = {
+  fail: 'Illegal usage of global `fail`, prefer throwing an error, or the `done.fail` callback.',
+  pending: 'Illegal usage of global `pending`, prefer explicitly skipping a test using `test.skip`',
+  spyOn: 'Illegal usage of global `spyOn`, prefer `jest.spyOn`.',
+  spyOnProperty: 'Illegal usage of global `spyOnProperty`, prefer `jest.spyOn`.'
+};
+// prettier-ignore
+const disabledJasmineMethods = {
+  addMatchers: 'Illegal usage of `jasmine.addMatchers`, prefer `expect.extends`.',
+  any: 'Illegal usage of `jasmine.any`, prefer `expect.any`.',
+  anything: 'Illegal usage of `jasmine.anything`, prefer `expect.anything`.',
+  arrayContaining: 'Illegal usage of `jasmine.arrayContaining`, prefer `expect.arrayContaining`.',
+  createSpy: 'Illegal usage of `jasmine.createSpy`, prefer `jest.fn`.',
+  objectContaining: 'Illegal usage of `jasmine.objectContaining`, prefer `expect.objectContaining`.',
+  stringMatching: 'Illegal usage of `jasmine.stringMatching`, prefer `expect.stringMatching`.'
+};
+
+function installErrorOnPrivate(global) {
+  const jasmine = global.jasmine;
+  Object.keys(disabledGlobals).forEach(functionName => {
+    global[functionName] = () => {
+      throwAtFunction(disabledGlobals[functionName], global[functionName]);
+    };
+  });
+  Object.keys(disabledJasmineMethods).forEach(methodName => {
+    // @ts-ignore
+    jasmine[methodName] = () => {
+      throwAtFunction(disabledJasmineMethods[methodName], jasmine[methodName]);
+    };
+  });
+
+  function set() {
+    throwAtFunction(
+      'Illegal usage of `jasmine.DEFAULT_TIMEOUT_INTERVAL`, prefer `jest.setTimeout`.',
+      set
+    );
+  }
+
+  const original = jasmine.DEFAULT_TIMEOUT_INTERVAL;
+  Object.defineProperty(jasmine, 'DEFAULT_TIMEOUT_INTERVAL', {
+    configurable: true,
+    enumerable: true,
+    get: () => original,
+    set
+  });
+}
+
+function throwAtFunction(message, fn) {
+  throw new _jestUtil.ErrorWithStack(message, fn);
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/expectationResultFactory.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/expectationResultFactory.d.ts
new file mode 100644
index 000000000..f3101fadf
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/expectationResultFactory.d.ts
@@ -0,0 +1,16 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { FailedAssertion } from '@jest/test-result';
+export declare type Options = {
+    matcherName: string;
+    passed: boolean;
+    actual?: any;
+    error?: any;
+    expected?: any;
+    message?: string | null;
+};
+export default function expectationResultFactory(options: Options, initError?: Error): FailedAssertion;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/expectationResultFactory.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/expectationResultFactory.js
new file mode 100644
index 000000000..90761f784
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/expectationResultFactory.js
@@ -0,0 +1,93 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = expectationResultFactory;
+
+var _prettyFormat = _interopRequireDefault(require('pretty-format'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function messageFormatter({error, message, passed}) {
+  if (passed) {
+    return 'Passed.';
+  }
+
+  if (message) {
+    return message;
+  }
+
+  if (typeof error === 'string') {
+    return error;
+  }
+
+  if (
+    // duck-type Error, see #2549
+    error &&
+    typeof error === 'object' &&
+    typeof error.message === 'string' &&
+    typeof error.name === 'string'
+  ) {
+    return `${error.name}: ${error.message}`;
+  }
+
+  return `thrown: ${(0, _prettyFormat.default)(error, {
+    maxDepth: 3
+  })}`;
+}
+
+function stackFormatter(options, initError, errorMessage) {
+  if (options.passed) {
+    return '';
+  }
+
+  if (options.error) {
+    if (options.error.stack) {
+      return options.error.stack;
+    }
+
+    if (options.error === errorMessage) {
+      return errorMessage;
+    }
+  }
+
+  if (initError) {
+    return errorMessage.trimRight() + '\n\n' + initError.stack;
+  }
+
+  return new Error(errorMessage).stack;
+}
+
+function expectationResultFactory(options, initError) {
+  const message = messageFormatter(options);
+  const stack = stackFormatter(options, initError, message);
+
+  if (options.passed) {
+    return {
+      error: options.error,
+      matcherName: options.matcherName,
+      message,
+      passed: options.passed,
+      stack
+    };
+  }
+
+  return {
+    actual: options.actual,
+    error: options.error,
+    expected: options.expected,
+    matcherName: options.matcherName,
+    message,
+    passed: options.passed,
+    stack
+  };
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/index.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/index.d.ts
new file mode 100644
index 000000000..c71445918
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/index.d.ts
@@ -0,0 +1,16 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import type { TestResult } from '@jest/test-result';
+import type { JestEnvironment } from '@jest/environment';
+import type { RuntimeType as Runtime } from 'jest-runtime';
+import type { Jasmine as JestJasmine } from './types';
+declare function jasmine2(globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, environment: JestEnvironment, runtime: Runtime, testPath: string): Promise<TestResult>;
+declare namespace jasmine2 {
+    type Jasmine = JestJasmine;
+}
+export = jasmine2;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/index.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/index.js
new file mode 100644
index 000000000..63b2ca3d7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/index.js
@@ -0,0 +1,263 @@
+'use strict';
+
+var path = _interopRequireWildcard(require('path'));
+
+var _sourceMap = require('@jest/source-map');
+
+var _each = _interopRequireDefault(require('./each'));
+
+var _errorOnPrivate = require('./errorOnPrivate');
+
+var _reporter = _interopRequireDefault(require('./reporter'));
+
+var _jasmineAsyncInstall = _interopRequireDefault(
+  require('./jasmineAsyncInstall')
+);
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const JASMINE = require.resolve('./jasmine/jasmineLight');
+
+async function jasmine2(globalConfig, config, environment, runtime, testPath) {
+  var _runtime$unstable_sho2;
+
+  const reporter = new _reporter.default(globalConfig, config, testPath);
+  const jasmineFactory = runtime.requireInternalModule(JASMINE);
+  const jasmine = jasmineFactory.create({
+    process,
+    testPath,
+    testTimeout: globalConfig.testTimeout
+  });
+  const env = jasmine.getEnv();
+
+  const jasmineInterface = jasmineFactory._interface(jasmine, env);
+
+  Object.assign(environment.global, jasmineInterface);
+  env.addReporter(jasmineInterface.jsApiReporter); // TODO: Remove config option if V8 exposes some way of getting location of caller
+  // in a future version
+
+  if (config.testLocationInResults === true) {
+    const originalIt = environment.global.it;
+
+    environment.global.it = (...args) => {
+      const stack = (0, _sourceMap.getCallsite)(1, runtime.getSourceMaps());
+      const it = originalIt(...args); // @ts-ignore
+
+      it.result.__callsite = stack;
+      return it;
+    };
+
+    const originalXit = environment.global.xit;
+
+    environment.global.xit = (...args) => {
+      const stack = (0, _sourceMap.getCallsite)(1, runtime.getSourceMaps());
+      const xit = originalXit(...args); // @ts-ignore
+
+      xit.result.__callsite = stack;
+      return xit;
+    };
+
+    const originalFit = environment.global.fit;
+
+    environment.global.fit = (...args) => {
+      const stack = (0, _sourceMap.getCallsite)(1, runtime.getSourceMaps());
+      const fit = originalFit(...args); // @ts-ignore
+
+      fit.result.__callsite = stack;
+      return fit;
+    };
+  }
+
+  (0, _jasmineAsyncInstall.default)(globalConfig, environment.global);
+  (0, _each.default)(environment);
+  environment.global.test = environment.global.it;
+  environment.global.it.only = environment.global.fit;
+  environment.global.it.todo = env.todo;
+  environment.global.it.skip = environment.global.xit;
+  environment.global.xtest = environment.global.xit;
+  environment.global.describe.skip = environment.global.xdescribe;
+  environment.global.describe.only = environment.global.fdescribe;
+
+  if (config.timers === 'fake') {
+    environment.fakeTimers.useFakeTimers();
+  }
+
+  env.beforeEach(() => {
+    if (config.resetModules) {
+      runtime.resetModules();
+    }
+
+    if (config.clearMocks) {
+      runtime.clearAllMocks();
+    }
+
+    if (config.resetMocks) {
+      runtime.resetAllMocks();
+
+      if (config.timers === 'fake') {
+        environment.fakeTimers.useFakeTimers();
+      }
+    }
+
+    if (config.restoreMocks) {
+      runtime.restoreAllMocks();
+    }
+  });
+  env.addReporter(reporter);
+  runtime
+    .requireInternalModule(path.resolve(__dirname, './jestExpect.js'))
+    .default({
+      expand: globalConfig.expand
+    });
+
+  if (globalConfig.errorOnDeprecated) {
+    (0, _errorOnPrivate.installErrorOnPrivate)(environment.global);
+  } else {
+    Object.defineProperty(jasmine, 'DEFAULT_TIMEOUT_INTERVAL', {
+      configurable: true,
+      enumerable: true,
+
+      get() {
+        return this._DEFAULT_TIMEOUT_INTERVAL;
+      },
+
+      set(value) {
+        this._DEFAULT_TIMEOUT_INTERVAL = value;
+      }
+    });
+  }
+
+  const snapshotState = runtime
+    .requireInternalModule(path.resolve(__dirname, './setup_jest_globals.js'))
+    .default({
+      config,
+      globalConfig,
+      localRequire: runtime.requireModule.bind(runtime),
+      testPath
+    });
+
+  for (const path of config.setupFilesAfterEnv) {
+    var _runtime$unstable_sho;
+
+    // TODO: remove ? in Jest 26
+    const esm =
+      (_runtime$unstable_sho = runtime.unstable_shouldLoadAsEsm) === null ||
+      _runtime$unstable_sho === void 0
+        ? void 0
+        : _runtime$unstable_sho.call(runtime, path);
+
+    if (esm) {
+      await runtime.unstable_importModule(path);
+    } else {
+      runtime.requireModule(path);
+    }
+  }
+
+  if (globalConfig.enabledTestsMap) {
+    env.specFilter = spec => {
+      const suiteMap =
+        globalConfig.enabledTestsMap &&
+        globalConfig.enabledTestsMap[spec.result.testPath];
+      return (suiteMap && suiteMap[spec.result.fullName]) || false;
+    };
+  } else if (globalConfig.testNamePattern) {
+    const testNameRegex = new RegExp(globalConfig.testNamePattern, 'i');
+
+    env.specFilter = spec => testNameRegex.test(spec.getFullName());
+  } // TODO: remove ? in Jest 26
+
+  const esm =
+    (_runtime$unstable_sho2 = runtime.unstable_shouldLoadAsEsm) === null ||
+    _runtime$unstable_sho2 === void 0
+      ? void 0
+      : _runtime$unstable_sho2.call(runtime, testPath);
+
+  if (esm) {
+    await runtime.unstable_importModule(testPath);
+  } else {
+    runtime.requireModule(testPath);
+  }
+
+  await env.execute();
+  const results = await reporter.getResults();
+  return addSnapshotData(results, snapshotState);
+}
+
+const addSnapshotData = (results, snapshotState) => {
+  results.testResults.forEach(({fullName, status}) => {
+    if (status === 'pending' || status === 'failed') {
+      // if test is skipped or failed, we don't want to mark
+      // its snapshots as obsolete.
+      snapshotState.markSnapshotsAsCheckedForTest(fullName);
+    }
+  });
+  const uncheckedCount = snapshotState.getUncheckedCount();
+  const uncheckedKeys = snapshotState.getUncheckedKeys();
+
+  if (uncheckedCount) {
+    snapshotState.removeUncheckedKeys();
+  }
+
+  const status = snapshotState.save();
+  results.snapshot.fileDeleted = status.deleted;
+  results.snapshot.added = snapshotState.added;
+  results.snapshot.matched = snapshotState.matched;
+  results.snapshot.unmatched = snapshotState.unmatched;
+  results.snapshot.updated = snapshotState.updated;
+  results.snapshot.unchecked = !status.deleted ? uncheckedCount : 0; // Copy the array to prevent memory leaks
+
+  results.snapshot.uncheckedKeys = Array.from(uncheckedKeys);
+  return results;
+}; // eslint-disable-next-line no-redeclare
+
+module.exports = jasmine2;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/isError.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/isError.d.ts
new file mode 100644
index 000000000..b21d23599
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/isError.d.ts
@@ -0,0 +1,10 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function isError(potentialError: any): {
+    isError: boolean;
+    message: string | null;
+};
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/isError.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/isError.js
new file mode 100644
index 000000000..7e79a2909
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/isError.js
@@ -0,0 +1,37 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = isError;
+
+var _prettyFormat = _interopRequireDefault(require('pretty-format'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// eslint-disable-next-line @typescript-eslint/explicit-module-boundary-types
+function isError(potentialError) {
+  // duck-type Error, see #2549
+  const isError =
+    potentialError !== null &&
+    typeof potentialError === 'object' &&
+    typeof potentialError.message === 'string' &&
+    typeof potentialError.name === 'string';
+  const message = isError
+    ? null
+    : `Failed: ${(0, _prettyFormat.default)(potentialError, {
+        maxDepth: 3
+      })}`;
+  return {
+    isError,
+    message
+  };
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/CallTracker.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/CallTracker.d.ts
new file mode 100644
index 000000000..1692e9c91
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/CallTracker.d.ts
@@ -0,0 +1,25 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+export declare type Context = {
+    object: unknown;
+    args: Array<unknown>;
+    returnValue?: unknown;
+};
+declare class CallTracker {
+    track: (context: Context) => void;
+    any: () => boolean;
+    count: () => number;
+    argsFor: (index: number) => Array<unknown>;
+    all: () => Array<Context>;
+    allArgs: () => Array<unknown>;
+    first: () => Context;
+    mostRecent: () => Context;
+    reset: () => void;
+    constructor();
+}
+export default CallTracker;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/CallTracker.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/CallTracker.js
new file mode 100644
index 000000000..c0ce7505c
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/CallTracker.js
@@ -0,0 +1,121 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+// This file is a heavily modified fork of Jasmine. Original license:
+
+/*
+Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+class CallTracker {
+  constructor() {
+    _defineProperty(this, 'track', void 0);
+
+    _defineProperty(this, 'any', void 0);
+
+    _defineProperty(this, 'count', void 0);
+
+    _defineProperty(this, 'argsFor', void 0);
+
+    _defineProperty(this, 'all', void 0);
+
+    _defineProperty(this, 'allArgs', void 0);
+
+    _defineProperty(this, 'first', void 0);
+
+    _defineProperty(this, 'mostRecent', void 0);
+
+    _defineProperty(this, 'reset', void 0);
+
+    let calls = [];
+
+    this.track = function (context) {
+      calls.push(context);
+    };
+
+    this.any = function () {
+      return !!calls.length;
+    };
+
+    this.count = function () {
+      return calls.length;
+    };
+
+    this.argsFor = function (index) {
+      const call = calls[index];
+      return call ? call.args : [];
+    };
+
+    this.all = function () {
+      return calls;
+    };
+
+    this.allArgs = function () {
+      const callArgs = [];
+
+      for (let i = 0; i < calls.length; i++) {
+        callArgs.push(calls[i].args);
+      }
+
+      return callArgs;
+    };
+
+    this.first = function () {
+      return calls[0];
+    };
+
+    this.mostRecent = function () {
+      return calls[calls.length - 1];
+    };
+
+    this.reset = function () {
+      calls = [];
+    };
+  }
+}
+
+var _default = CallTracker;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Env.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Env.d.ts
new file mode 100644
index 000000000..5ca161244
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Env.d.ts
@@ -0,0 +1,42 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { AssertionErrorWithStack, Jasmine, Reporter, Spy } from '../types';
+import type { default as Spec } from './Spec';
+import type Suite from './Suite';
+export default function (j$: Jasmine): {
+    new (_options?: object | undefined): {
+        specFilter: (spec: Spec) => boolean;
+        catchExceptions: (value: unknown) => boolean;
+        throwOnExpectationFailure: (value: unknown) => void;
+        catchingExceptions: () => boolean;
+        topSuite: () => Suite;
+        fail: (error: Error | AssertionErrorWithStack) => void;
+        pending: (message: string) => void;
+        afterAll: (afterAllFunction: (done: (error?: any) => void) => void, timeout?: number | undefined) => void;
+        fit: (description: string, fn: (done: (error?: any) => void) => void, timeout?: number | undefined) => Spec;
+        throwingExpectationFailures: () => boolean;
+        randomizeTests: (value: unknown) => void;
+        randomTests: () => boolean;
+        seed: (value: unknown) => unknown;
+        execute: (runnablesToRun?: string[] | undefined, suiteTree?: Suite | undefined) => Promise<void>;
+        fdescribe: (description: string, specDefinitions: Function) => Suite;
+        spyOn: (obj: Record<string, Spy>, methodName: string, accessType?: "get" | "set" | "writable" | "configurable" | "enumerable" | "value" | undefined) => Spy;
+        beforeEach: (beforeEachFunction: (done: (error?: any) => void) => void, timeout?: number | undefined) => void;
+        afterEach: (afterEachFunction: (done: (error?: any) => void) => void, timeout?: number | undefined) => void;
+        clearReporters: () => void;
+        addReporter: (reporterToAdd: Reporter) => void;
+        it: (description: string, fn: (done: (error?: any) => void) => void, timeout?: number | undefined) => Spec;
+        xdescribe: (description: string, specDefinitions: Function) => Suite;
+        xit: (description: string, fn: (done: (error?: any) => void) => void, timeout?: number | undefined) => Spec;
+        beforeAll: (beforeAllFunction: (done: (error?: any) => void) => void, timeout?: number | undefined) => void;
+        todo: () => Spec;
+        provideFallbackReporter: (reporterToAdd: Reporter) => void;
+        allowRespy: (allow: boolean) => void;
+        describe: (description: string, specDefinitions: Function) => Suite;
+    };
+};
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Env.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Env.js
new file mode 100644
index 000000000..c57976077
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Env.js
@@ -0,0 +1,745 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = _default;
+
+var _assert = require('assert');
+
+var _chalk = _interopRequireDefault(require('chalk'));
+
+var _jestMessageUtil = require('jest-message-util');
+
+var _jestUtil = require('jest-util');
+
+var _queueRunner = _interopRequireDefault(require('../queueRunner'));
+
+var _treeProcessor = _interopRequireDefault(require('../treeProcessor'));
+
+var _isError = _interopRequireDefault(require('../isError'));
+
+var _assertionErrorMessage = _interopRequireDefault(
+  require('../assertionErrorMessage')
+);
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+function _default(j$) {
+  var _temp;
+
+  return (
+    (_temp = class Env {
+      constructor(_options) {
+        _defineProperty(this, 'specFilter', void 0);
+
+        _defineProperty(this, 'catchExceptions', void 0);
+
+        _defineProperty(this, 'throwOnExpectationFailure', void 0);
+
+        _defineProperty(this, 'catchingExceptions', void 0);
+
+        _defineProperty(this, 'topSuite', void 0);
+
+        _defineProperty(this, 'fail', void 0);
+
+        _defineProperty(this, 'pending', void 0);
+
+        _defineProperty(this, 'afterAll', void 0);
+
+        _defineProperty(this, 'fit', void 0);
+
+        _defineProperty(this, 'throwingExpectationFailures', void 0);
+
+        _defineProperty(this, 'randomizeTests', void 0);
+
+        _defineProperty(this, 'randomTests', void 0);
+
+        _defineProperty(this, 'seed', void 0);
+
+        _defineProperty(this, 'execute', void 0);
+
+        _defineProperty(this, 'fdescribe', void 0);
+
+        _defineProperty(this, 'spyOn', void 0);
+
+        _defineProperty(this, 'beforeEach', void 0);
+
+        _defineProperty(this, 'afterEach', void 0);
+
+        _defineProperty(this, 'clearReporters', void 0);
+
+        _defineProperty(this, 'addReporter', void 0);
+
+        _defineProperty(this, 'it', void 0);
+
+        _defineProperty(this, 'xdescribe', void 0);
+
+        _defineProperty(this, 'xit', void 0);
+
+        _defineProperty(this, 'beforeAll', void 0);
+
+        _defineProperty(this, 'todo', void 0);
+
+        _defineProperty(this, 'provideFallbackReporter', void 0);
+
+        _defineProperty(this, 'allowRespy', void 0);
+
+        _defineProperty(this, 'describe', void 0);
+
+        let totalSpecsDefined = 0;
+        let catchExceptions = true;
+        const realSetTimeout = global.setTimeout;
+        const realClearTimeout = global.clearTimeout;
+        const runnableResources = {};
+        const currentlyExecutingSuites = [];
+        let currentSpec = null;
+        let throwOnExpectationFailure = false;
+        let random = false;
+        let seed = null;
+        let nextSpecId = 0;
+        let nextSuiteId = 0;
+
+        const getNextSpecId = function () {
+          return 'spec' + nextSpecId++;
+        };
+
+        const getNextSuiteId = function () {
+          return 'suite' + nextSuiteId++;
+        };
+
+        const topSuite = new j$.Suite({
+          id: getNextSuiteId(),
+          description: '',
+
+          getTestPath() {
+            return j$.testPath;
+          }
+        });
+        let currentDeclarationSuite = topSuite;
+
+        const currentSuite = function () {
+          return currentlyExecutingSuites[currentlyExecutingSuites.length - 1];
+        };
+
+        const currentRunnable = function () {
+          return currentSpec || currentSuite();
+        };
+
+        const reporter = new j$.ReportDispatcher([
+          'jasmineStarted',
+          'jasmineDone',
+          'suiteStarted',
+          'suiteDone',
+          'specStarted',
+          'specDone'
+        ]);
+
+        this.specFilter = function () {
+          return true;
+        };
+
+        const defaultResourcesForRunnable = function (id, _parentRunnableId) {
+          const resources = {
+            spies: []
+          };
+          runnableResources[id] = resources;
+        };
+
+        const clearResourcesForRunnable = function (id) {
+          spyRegistry.clearSpies();
+          delete runnableResources[id];
+        };
+
+        const beforeAndAfterFns = function (suite) {
+          return function () {
+            let afters = [];
+            let befores = [];
+
+            while (suite) {
+              befores = befores.concat(suite.beforeFns);
+              afters = afters.concat(suite.afterFns);
+              suite = suite.parentSuite;
+            }
+
+            return {
+              befores: befores.reverse(),
+              afters
+            };
+          };
+        };
+
+        const getSpecName = function (spec, suite) {
+          const fullName = [spec.description];
+          const suiteFullName = suite.getFullName();
+
+          if (suiteFullName !== '') {
+            fullName.unshift(suiteFullName);
+          }
+
+          return fullName.join(' ');
+        };
+
+        this.catchExceptions = function (value) {
+          catchExceptions = !!value;
+          return catchExceptions;
+        };
+
+        this.catchingExceptions = function () {
+          return catchExceptions;
+        };
+
+        this.throwOnExpectationFailure = function (value) {
+          throwOnExpectationFailure = !!value;
+        };
+
+        this.throwingExpectationFailures = function () {
+          return throwOnExpectationFailure;
+        };
+
+        this.randomizeTests = function (value) {
+          random = !!value;
+        };
+
+        this.randomTests = function () {
+          return random;
+        };
+
+        this.seed = function (value) {
+          if (value) {
+            seed = value;
+          }
+
+          return seed;
+        };
+
+        const queueRunnerFactory = options => {
+          options.clearTimeout = realClearTimeout;
+          options.fail = this.fail;
+          options.setTimeout = realSetTimeout;
+          return (0, _queueRunner.default)(options);
+        };
+
+        this.topSuite = function () {
+          return topSuite;
+        };
+
+        const uncaught = err => {
+          if (currentSpec) {
+            currentSpec.onException(err);
+            currentSpec.cancel();
+          } else {
+            console.error('Unhandled error');
+            console.error(err.stack);
+          }
+        };
+
+        let oldListenersException;
+        let oldListenersRejection;
+
+        const executionSetup = function () {
+          // Need to ensure we are the only ones handling these exceptions.
+          oldListenersException = process
+            .listeners('uncaughtException')
+            .slice();
+          oldListenersRejection = process
+            .listeners('unhandledRejection')
+            .slice();
+          j$.process.removeAllListeners('uncaughtException');
+          j$.process.removeAllListeners('unhandledRejection');
+          j$.process.on('uncaughtException', uncaught);
+          j$.process.on('unhandledRejection', uncaught);
+        };
+
+        const executionTeardown = function () {
+          j$.process.removeListener('uncaughtException', uncaught);
+          j$.process.removeListener('unhandledRejection', uncaught); // restore previous exception handlers
+
+          oldListenersException.forEach(listener => {
+            j$.process.on('uncaughtException', listener);
+          });
+          oldListenersRejection.forEach(listener => {
+            j$.process.on('unhandledRejection', listener);
+          });
+        };
+
+        this.execute = async function (runnablesToRun, suiteTree = topSuite) {
+          if (!runnablesToRun) {
+            if (focusedRunnables.length) {
+              runnablesToRun = focusedRunnables;
+            } else {
+              runnablesToRun = [suiteTree.id];
+            }
+          }
+
+          if (currentlyExecutingSuites.length === 0) {
+            executionSetup();
+          }
+
+          const lastDeclarationSuite = currentDeclarationSuite;
+          await (0, _treeProcessor.default)({
+            nodeComplete(suite) {
+              if (!suite.disabled) {
+                clearResourcesForRunnable(suite.id);
+              }
+
+              currentlyExecutingSuites.pop();
+
+              if (suite === topSuite) {
+                reporter.jasmineDone({
+                  failedExpectations: topSuite.result.failedExpectations
+                });
+              } else {
+                reporter.suiteDone(suite.getResult());
+              }
+            },
+
+            nodeStart(suite) {
+              currentlyExecutingSuites.push(suite);
+              defaultResourcesForRunnable(
+                suite.id,
+                suite.parentSuite && suite.parentSuite.id
+              );
+
+              if (suite === topSuite) {
+                reporter.jasmineStarted({
+                  totalSpecsDefined
+                });
+              } else {
+                reporter.suiteStarted(suite.result);
+              }
+            },
+
+            queueRunnerFactory,
+            runnableIds: runnablesToRun,
+            tree: suiteTree
+          });
+          currentDeclarationSuite = lastDeclarationSuite;
+
+          if (currentlyExecutingSuites.length === 0) {
+            executionTeardown();
+          }
+        };
+
+        this.addReporter = function (reporterToAdd) {
+          reporter.addReporter(reporterToAdd);
+        };
+
+        this.provideFallbackReporter = function (reporterToAdd) {
+          reporter.provideFallbackReporter(reporterToAdd);
+        };
+
+        this.clearReporters = function () {
+          reporter.clearReporters();
+        };
+
+        const spyRegistry = new j$.SpyRegistry({
+          currentSpies() {
+            if (!currentRunnable()) {
+              throw new Error(
+                'Spies must be created in a before function or a spec'
+              );
+            }
+
+            return runnableResources[currentRunnable().id].spies;
+          }
+        });
+
+        this.allowRespy = function (allow) {
+          spyRegistry.allowRespy(allow);
+        };
+
+        this.spyOn = function (...args) {
+          return spyRegistry.spyOn.apply(spyRegistry, args);
+        };
+
+        const suiteFactory = function (description) {
+          const suite = new j$.Suite({
+            id: getNextSuiteId(),
+            description,
+            parentSuite: currentDeclarationSuite,
+            throwOnExpectationFailure,
+
+            getTestPath() {
+              return j$.testPath;
+            }
+          });
+          return suite;
+        };
+
+        this.describe = function (description, specDefinitions) {
+          const suite = suiteFactory(description);
+
+          if (specDefinitions === undefined) {
+            throw new Error(
+              `Missing second argument. It must be a callback function.`
+            );
+          }
+
+          if (typeof specDefinitions !== 'function') {
+            throw new Error(
+              `Invalid second argument, ${specDefinitions}. It must be a callback function.`
+            );
+          }
+
+          if (specDefinitions.length > 0) {
+            throw new Error('describe does not expect any arguments');
+          }
+
+          if (currentDeclarationSuite.markedPending) {
+            suite.pend();
+          }
+
+          if (currentDeclarationSuite.markedTodo) {
+            // @ts-ignore TODO Possible error: Suite does not have todo method
+            suite.todo();
+          }
+
+          addSpecsToSuite(suite, specDefinitions);
+          return suite;
+        };
+
+        this.xdescribe = function (description, specDefinitions) {
+          const suite = suiteFactory(description);
+          suite.pend();
+          addSpecsToSuite(suite, specDefinitions);
+          return suite;
+        };
+
+        const focusedRunnables = [];
+
+        this.fdescribe = function (description, specDefinitions) {
+          const suite = suiteFactory(description);
+          suite.isFocused = true;
+          focusedRunnables.push(suite.id);
+          unfocusAncestor();
+          addSpecsToSuite(suite, specDefinitions);
+          return suite;
+        };
+
+        const addSpecsToSuite = (suite, specDefinitions) => {
+          const parentSuite = currentDeclarationSuite;
+          parentSuite.addChild(suite);
+          currentDeclarationSuite = suite;
+          let declarationError = undefined;
+          let describeReturnValue = undefined;
+
+          try {
+            describeReturnValue = specDefinitions.call(suite);
+          } catch (e) {
+            declarationError = e;
+          } // TODO throw in Jest 25: declarationError = new Error
+
+          if ((0, _jestUtil.isPromise)(describeReturnValue)) {
+            console.log(
+              (0, _jestMessageUtil.formatExecError)(
+                new Error(
+                  _chalk.default.yellow(
+                    'Returning a Promise from "describe" is not supported. Tests must be defined synchronously.\n' +
+                      'Returning a value from "describe" will fail the test in a future version of Jest.'
+                  )
+                ),
+                {
+                  rootDir: '',
+                  testMatch: []
+                },
+                {
+                  noStackTrace: false
+                }
+              )
+            );
+          } else if (describeReturnValue !== undefined) {
+            console.log(
+              (0, _jestMessageUtil.formatExecError)(
+                new Error(
+                  _chalk.default.yellow(
+                    'A "describe" callback must not return a value.\n' +
+                      'Returning a value from "describe" will fail the test in a future version of Jest.'
+                  )
+                ),
+                {
+                  rootDir: '',
+                  testMatch: []
+                },
+                {
+                  noStackTrace: false
+                }
+              )
+            );
+          }
+
+          if (declarationError) {
+            this.it('encountered a declaration exception', () => {
+              throw declarationError;
+            });
+          }
+
+          currentDeclarationSuite = parentSuite;
+        };
+
+        function findFocusedAncestor(suite) {
+          while (suite) {
+            if (suite.isFocused) {
+              return suite.id;
+            }
+
+            suite = suite.parentSuite;
+          }
+
+          return null;
+        }
+
+        function unfocusAncestor() {
+          const focusedAncestor = findFocusedAncestor(currentDeclarationSuite);
+
+          if (focusedAncestor) {
+            for (let i = 0; i < focusedRunnables.length; i++) {
+              if (focusedRunnables[i] === focusedAncestor) {
+                focusedRunnables.splice(i, 1);
+                break;
+              }
+            }
+          }
+        }
+
+        const specFactory = (description, fn, suite, timeout) => {
+          totalSpecsDefined++;
+          const spec = new j$.Spec({
+            id: getNextSpecId(),
+            beforeAndAfterFns: beforeAndAfterFns(suite),
+            resultCallback: specResultCallback,
+
+            getSpecName(spec) {
+              return getSpecName(spec, suite);
+            },
+
+            getTestPath() {
+              return j$.testPath;
+            },
+
+            onStart: specStarted,
+            description,
+            queueRunnerFactory,
+
+            userContext() {
+              return suite.clonedSharedUserContext();
+            },
+
+            queueableFn: {
+              fn,
+
+              timeout() {
+                return timeout || j$._DEFAULT_TIMEOUT_INTERVAL;
+              }
+            },
+            throwOnExpectationFailure
+          });
+
+          if (!this.specFilter(spec)) {
+            spec.disable();
+          }
+
+          return spec;
+
+          function specResultCallback(result) {
+            clearResourcesForRunnable(spec.id);
+            currentSpec = null;
+            reporter.specDone(result);
+          }
+
+          function specStarted(spec) {
+            currentSpec = spec;
+            defaultResourcesForRunnable(spec.id, suite.id);
+            reporter.specStarted(spec.result);
+          }
+        };
+
+        this.it = function (description, fn, timeout) {
+          if (typeof description !== 'string') {
+            throw new Error(
+              `Invalid first argument, ${description}. It must be a string.`
+            );
+          }
+
+          if (fn === undefined) {
+            throw new Error(
+              'Missing second argument. It must be a callback function. Perhaps you want to use `test.todo` for a test placeholder.'
+            );
+          }
+
+          if (typeof fn !== 'function') {
+            throw new Error(
+              `Invalid second argument, ${fn}. It must be a callback function.`
+            );
+          }
+
+          const spec = specFactory(
+            description,
+            fn,
+            currentDeclarationSuite,
+            timeout
+          );
+
+          if (currentDeclarationSuite.markedPending) {
+            spec.pend();
+          } // When a test is defined inside another, jasmine will not run it.
+          // This check throws an error to warn the user about the edge-case.
+
+          if (currentSpec !== null) {
+            throw new Error(
+              `Tests cannot be nested. Test "${spec.description}" cannot run because it is nested within "${currentSpec.description}".`
+            );
+          }
+
+          currentDeclarationSuite.addChild(spec);
+          return spec;
+        };
+
+        this.xit = function (...args) {
+          const spec = this.it.apply(this, args);
+          spec.pend('Temporarily disabled with xit');
+          return spec;
+        };
+
+        this.todo = function () {
+          const description = arguments[0];
+
+          if (arguments.length !== 1 || typeof description !== 'string') {
+            throw new _jestUtil.ErrorWithStack(
+              'Todo must be called with only a description.',
+              this.todo
+            );
+          }
+
+          const spec = specFactory(
+            description,
+            () => {},
+            currentDeclarationSuite
+          );
+          spec.todo();
+          currentDeclarationSuite.addChild(spec);
+          return spec;
+        };
+
+        this.fit = function (description, fn, timeout) {
+          const spec = specFactory(
+            description,
+            fn,
+            currentDeclarationSuite,
+            timeout
+          );
+          currentDeclarationSuite.addChild(spec);
+          focusedRunnables.push(spec.id);
+          unfocusAncestor();
+          return spec;
+        };
+
+        this.beforeEach = function (beforeEachFunction, timeout) {
+          currentDeclarationSuite.beforeEach({
+            fn: beforeEachFunction,
+
+            timeout() {
+              return timeout || j$._DEFAULT_TIMEOUT_INTERVAL;
+            }
+          });
+        };
+
+        this.beforeAll = function (beforeAllFunction, timeout) {
+          currentDeclarationSuite.beforeAll({
+            fn: beforeAllFunction,
+
+            timeout() {
+              return timeout || j$._DEFAULT_TIMEOUT_INTERVAL;
+            }
+          });
+        };
+
+        this.afterEach = function (afterEachFunction, timeout) {
+          currentDeclarationSuite.afterEach({
+            fn: afterEachFunction,
+
+            timeout() {
+              return timeout || j$._DEFAULT_TIMEOUT_INTERVAL;
+            }
+          });
+        };
+
+        this.afterAll = function (afterAllFunction, timeout) {
+          currentDeclarationSuite.afterAll({
+            fn: afterAllFunction,
+
+            timeout() {
+              return timeout || j$._DEFAULT_TIMEOUT_INTERVAL;
+            }
+          });
+        };
+
+        this.pending = function (message) {
+          let fullMessage = j$.Spec.pendingSpecExceptionMessage;
+
+          if (message) {
+            fullMessage += message;
+          }
+
+          throw fullMessage;
+        };
+
+        this.fail = function (error) {
+          let checkIsError;
+          let message;
+
+          if (
+            error instanceof _assert.AssertionError ||
+            (error && error.name === _assert.AssertionError.name)
+          ) {
+            checkIsError = false; // @ts-ignore TODO Possible error: j$.Spec does not have expand property
+
+            message = (0, _assertionErrorMessage.default)(error, {
+              expand: j$.Spec.expand
+            });
+          } else {
+            const check = (0, _isError.default)(error);
+            checkIsError = check.isError;
+            message = check.message;
+          }
+
+          const errorAsErrorObject = checkIsError ? error : new Error(message);
+          const runnable = currentRunnable();
+
+          if (!runnable) {
+            errorAsErrorObject.message =
+              'Caught error after test environment was torn down\n\n' +
+              errorAsErrorObject.message;
+            throw errorAsErrorObject;
+          }
+
+          runnable.addExpectationResult(false, {
+            matcherName: '',
+            passed: false,
+            expected: '',
+            actual: '',
+            message,
+            error: errorAsErrorObject
+          });
+        };
+      }
+    }),
+    _temp
+  );
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/JsApiReporter.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/JsApiReporter.d.ts
new file mode 100644
index 000000000..ece0b732d
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/JsApiReporter.d.ts
@@ -0,0 +1,31 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Reporter, RunDetails } from '../types';
+import type { SpecResult } from './Spec';
+import type { SuiteResult } from './Suite';
+import type Timer from './Timer';
+export default class JsApiReporter implements Reporter {
+    started: boolean;
+    finished: boolean;
+    runDetails: RunDetails;
+    jasmineStarted: (runDetails: RunDetails) => void;
+    jasmineDone: (runDetails: RunDetails) => void;
+    status: () => unknown;
+    executionTime: () => unknown;
+    suiteStarted: (result: SuiteResult) => void;
+    suiteDone: (result: SuiteResult) => void;
+    suiteResults: (index: number, length: number) => Array<SuiteResult>;
+    suites: () => Record<string, SuiteResult>;
+    specResults: (index: number, length: number) => Array<SpecResult>;
+    specDone: (result: SpecResult) => void;
+    specs: () => Array<SpecResult>;
+    specStarted: (spec: SpecResult) => void;
+    constructor(options: {
+        timer?: Timer;
+    });
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/JsApiReporter.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/JsApiReporter.js
new file mode 100644
index 000000000..982f4469d
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/JsApiReporter.js
@@ -0,0 +1,173 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+// This file is a heavily modified fork of Jasmine. Original license:
+
+/*
+Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+
+/* eslint-disable sort-keys */
+const noopTimer = {
+  start() {},
+
+  elapsed() {
+    return 0;
+  }
+};
+
+class JsApiReporter {
+  constructor(options) {
+    _defineProperty(this, 'started', void 0);
+
+    _defineProperty(this, 'finished', void 0);
+
+    _defineProperty(this, 'runDetails', void 0);
+
+    _defineProperty(this, 'jasmineStarted', void 0);
+
+    _defineProperty(this, 'jasmineDone', void 0);
+
+    _defineProperty(this, 'status', void 0);
+
+    _defineProperty(this, 'executionTime', void 0);
+
+    _defineProperty(this, 'suiteStarted', void 0);
+
+    _defineProperty(this, 'suiteDone', void 0);
+
+    _defineProperty(this, 'suiteResults', void 0);
+
+    _defineProperty(this, 'suites', void 0);
+
+    _defineProperty(this, 'specResults', void 0);
+
+    _defineProperty(this, 'specDone', void 0);
+
+    _defineProperty(this, 'specs', void 0);
+
+    _defineProperty(this, 'specStarted', void 0);
+
+    const timer = options.timer || noopTimer;
+    let status = 'loaded';
+    this.started = false;
+    this.finished = false;
+    this.runDetails = {};
+
+    this.jasmineStarted = () => {
+      this.started = true;
+      status = 'started';
+      timer.start();
+    };
+
+    let executionTime;
+
+    function validateAfterAllExceptions({failedExpectations}) {
+      if (failedExpectations && failedExpectations.length > 0) {
+        throw failedExpectations[0];
+      }
+    }
+
+    this.jasmineDone = function (runDetails) {
+      validateAfterAllExceptions(runDetails);
+      this.finished = true;
+      this.runDetails = runDetails;
+      executionTime = timer.elapsed();
+      status = 'done';
+    };
+
+    this.status = function () {
+      return status;
+    };
+
+    const suites = [];
+    const suites_hash = {};
+
+    this.specStarted = function () {};
+
+    this.suiteStarted = function (result) {
+      suites_hash[result.id] = result;
+    };
+
+    this.suiteDone = function (result) {
+      storeSuite(result);
+    };
+
+    this.suiteResults = function (index, length) {
+      return suites.slice(index, index + length);
+    };
+
+    function storeSuite(result) {
+      suites.push(result);
+      suites_hash[result.id] = result;
+    }
+
+    this.suites = function () {
+      return suites_hash;
+    };
+
+    const specs = [];
+
+    this.specDone = function (result) {
+      specs.push(result);
+    };
+
+    this.specResults = function (index, length) {
+      return specs.slice(index, index + length);
+    };
+
+    this.specs = function () {
+      return specs;
+    };
+
+    this.executionTime = function () {
+      return executionTime;
+    };
+  }
+}
+
+exports.default = JsApiReporter;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/ReportDispatcher.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/ReportDispatcher.d.ts
new file mode 100644
index 000000000..9f89d05c7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/ReportDispatcher.d.ts
@@ -0,0 +1,22 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Reporter, RunDetails } from '../types';
+import type { SpecResult } from './Spec';
+import type { SuiteResult } from './Suite';
+export default class ReportDispatcher implements Reporter {
+    addReporter: (reporter: Reporter) => void;
+    provideFallbackReporter: (reporter: Reporter) => void;
+    clearReporters: () => void;
+    jasmineDone: (runDetails: RunDetails) => void;
+    jasmineStarted: (runDetails: RunDetails) => void;
+    specDone: (result: SpecResult) => void;
+    specStarted: (spec: SpecResult) => void;
+    suiteDone: (result: SuiteResult) => void;
+    suiteStarted: (result: SuiteResult) => void;
+    constructor(methods: Array<keyof Reporter>);
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/ReportDispatcher.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/ReportDispatcher.js
new file mode 100644
index 000000000..730e76b37
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/ReportDispatcher.js
@@ -0,0 +1,125 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+// This file is a heavily modified fork of Jasmine. Original license:
+
+/*
+Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+class ReportDispatcher {
+  // @ts-ignore
+  // @ts-ignore
+  // @ts-ignore
+  // @ts-ignore
+  // @ts-ignore
+  // @ts-ignore
+  constructor(methods) {
+    _defineProperty(this, 'addReporter', void 0);
+
+    _defineProperty(this, 'provideFallbackReporter', void 0);
+
+    _defineProperty(this, 'clearReporters', void 0);
+
+    _defineProperty(this, 'jasmineDone', void 0);
+
+    _defineProperty(this, 'jasmineStarted', void 0);
+
+    _defineProperty(this, 'specDone', void 0);
+
+    _defineProperty(this, 'specStarted', void 0);
+
+    _defineProperty(this, 'suiteDone', void 0);
+
+    _defineProperty(this, 'suiteStarted', void 0);
+
+    const dispatchedMethods = methods || [];
+
+    for (let i = 0; i < dispatchedMethods.length; i++) {
+      const method = dispatchedMethods[i];
+
+      this[method] = (function (m) {
+        return function () {
+          dispatch(m, arguments);
+        };
+      })(method);
+    }
+
+    let reporters = [];
+    let fallbackReporter = null;
+
+    this.addReporter = function (reporter) {
+      reporters.push(reporter);
+    };
+
+    this.provideFallbackReporter = function (reporter) {
+      fallbackReporter = reporter;
+    };
+
+    this.clearReporters = function () {
+      reporters = [];
+    };
+
+    return this;
+
+    function dispatch(method, args) {
+      if (reporters.length === 0 && fallbackReporter !== null) {
+        reporters.push(fallbackReporter);
+      }
+
+      for (let i = 0; i < reporters.length; i++) {
+        const reporter = reporters[i];
+
+        if (reporter[method]) {
+          // @ts-ignore
+          reporter[method].apply(reporter, args);
+        }
+      }
+    }
+  }
+}
+
+exports.default = ReportDispatcher;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Spec.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Spec.d.ts
new file mode 100644
index 000000000..1b8ed45e1
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Spec.d.ts
@@ -0,0 +1,81 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Config } from '@jest/types';
+import type { FailedAssertion, Milliseconds, Status } from '@jest/test-result';
+import ExpectationFailed from '../ExpectationFailed';
+import expectationResultFactory, { Options as ExpectationResultFactoryOptions } from '../expectationResultFactory';
+import type { QueueableFn, default as queueRunner } from '../queueRunner';
+import type { AssertionErrorWithStack } from '../types';
+export declare type Attributes = {
+    id: string;
+    resultCallback: (result: Spec['result']) => void;
+    description: string;
+    throwOnExpectationFailure: unknown;
+    getTestPath: () => Config.Path;
+    queueableFn: QueueableFn;
+    beforeAndAfterFns: () => {
+        befores: Array<QueueableFn>;
+        afters: Array<QueueableFn>;
+    };
+    userContext: () => unknown;
+    onStart: (context: Spec) => void;
+    getSpecName: (spec: Spec) => string;
+    queueRunnerFactory: typeof queueRunner;
+};
+export declare type SpecResult = {
+    id: string;
+    description: string;
+    fullName: string;
+    duration?: Milliseconds;
+    failedExpectations: Array<FailedAssertion>;
+    testPath: Config.Path;
+    passedExpectations: Array<ReturnType<typeof expectationResultFactory>>;
+    pendingReason: string;
+    status: Status;
+    __callsite?: {
+        getColumnNumber: () => number;
+        getLineNumber: () => number;
+    };
+};
+export default class Spec {
+    id: string;
+    description: string;
+    resultCallback: (result: SpecResult) => void;
+    queueableFn: QueueableFn;
+    beforeAndAfterFns: () => {
+        befores: Array<QueueableFn>;
+        afters: Array<QueueableFn>;
+    };
+    userContext: () => unknown;
+    onStart: (spec: Spec) => void;
+    getSpecName: (spec: Spec) => string;
+    queueRunnerFactory: typeof queueRunner;
+    throwOnExpectationFailure: boolean;
+    initError: Error;
+    result: SpecResult;
+    disabled?: boolean;
+    currentRun?: ReturnType<typeof queueRunner>;
+    markedTodo?: boolean;
+    markedPending?: boolean;
+    expand?: boolean;
+    static pendingSpecExceptionMessage: string;
+    static isPendingSpecException(e: Error): boolean;
+    constructor(attrs: Attributes);
+    addExpectationResult(passed: boolean, data: ExpectationResultFactoryOptions, isError?: boolean): void;
+    execute(onComplete: Function, enabled: boolean): void;
+    cancel(): void;
+    onException(error: ExpectationFailed | AssertionErrorWithStack): void;
+    disable(): void;
+    pend(message?: string): void;
+    todo(): void;
+    getResult(): SpecResult;
+    status(enabled?: boolean): "todo" | "passed" | "failed" | "pending" | "disabled";
+    isExecutable(): boolean;
+    getFullName(): string;
+    isAssertionError(error: Error): boolean;
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Spec.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Spec.js
new file mode 100644
index 000000000..6fb658bda
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Spec.js
@@ -0,0 +1,298 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _assert = require('assert');
+
+var _ExpectationFailed = _interopRequireDefault(
+  require('../ExpectationFailed')
+);
+
+var _expectationResultFactory = _interopRequireDefault(
+  require('../expectationResultFactory')
+);
+
+var _assertionErrorMessage = _interopRequireDefault(
+  require('../assertionErrorMessage')
+);
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+class Spec {
+  static isPendingSpecException(e) {
+    return !!(
+      e &&
+      e.toString &&
+      e.toString().indexOf(Spec.pendingSpecExceptionMessage) !== -1
+    );
+  }
+
+  constructor(attrs) {
+    _defineProperty(this, 'id', void 0);
+
+    _defineProperty(this, 'description', void 0);
+
+    _defineProperty(this, 'resultCallback', void 0);
+
+    _defineProperty(this, 'queueableFn', void 0);
+
+    _defineProperty(this, 'beforeAndAfterFns', void 0);
+
+    _defineProperty(this, 'userContext', void 0);
+
+    _defineProperty(this, 'onStart', void 0);
+
+    _defineProperty(this, 'getSpecName', void 0);
+
+    _defineProperty(this, 'queueRunnerFactory', void 0);
+
+    _defineProperty(this, 'throwOnExpectationFailure', void 0);
+
+    _defineProperty(this, 'initError', void 0);
+
+    _defineProperty(this, 'result', void 0);
+
+    _defineProperty(this, 'disabled', void 0);
+
+    _defineProperty(this, 'currentRun', void 0);
+
+    _defineProperty(this, 'markedTodo', void 0);
+
+    _defineProperty(this, 'markedPending', void 0);
+
+    _defineProperty(this, 'expand', void 0);
+
+    this.resultCallback = attrs.resultCallback || function () {};
+
+    this.id = attrs.id;
+    this.description = attrs.description || '';
+    this.queueableFn = attrs.queueableFn;
+
+    this.beforeAndAfterFns =
+      attrs.beforeAndAfterFns ||
+      function () {
+        return {
+          befores: [],
+          afters: []
+        };
+      };
+
+    this.userContext =
+      attrs.userContext ||
+      function () {
+        return {};
+      };
+
+    this.onStart = attrs.onStart || function () {};
+
+    this.getSpecName =
+      attrs.getSpecName ||
+      function () {
+        return '';
+      };
+
+    this.queueRunnerFactory = attrs.queueRunnerFactory || function () {};
+
+    this.throwOnExpectationFailure = !!attrs.throwOnExpectationFailure;
+    this.initError = new Error();
+    this.initError.name = ''; // Without this line v8 stores references to all closures
+    // in the stack in the Error object. This line stringifies the stack
+    // property to allow garbage-collecting objects on the stack
+    // https://crbug.com/v8/7142
+
+    this.initError.stack = this.initError.stack;
+    this.queueableFn.initError = this.initError; // @ts-ignore
+
+    this.result = {
+      id: this.id,
+      description: this.description,
+      fullName: this.getFullName(),
+      failedExpectations: [],
+      passedExpectations: [],
+      pendingReason: '',
+      testPath: attrs.getTestPath()
+    };
+  }
+
+  addExpectationResult(passed, data, isError) {
+    const expectationResult = (0, _expectationResultFactory.default)(
+      data,
+      this.initError
+    );
+
+    if (passed) {
+      this.result.passedExpectations.push(expectationResult);
+    } else {
+      this.result.failedExpectations.push(expectationResult);
+
+      if (this.throwOnExpectationFailure && !isError) {
+        throw new _ExpectationFailed.default();
+      }
+    }
+  }
+
+  execute(onComplete, enabled) {
+    const self = this;
+    this.onStart(this);
+
+    if (
+      !this.isExecutable() ||
+      this.markedPending ||
+      this.markedTodo ||
+      enabled === false
+    ) {
+      complete(enabled);
+      return;
+    }
+
+    const fns = this.beforeAndAfterFns();
+    const allFns = fns.befores.concat(this.queueableFn).concat(fns.afters);
+    this.currentRun = this.queueRunnerFactory({
+      queueableFns: allFns,
+
+      onException() {
+        // @ts-ignore
+        self.onException.apply(self, arguments);
+      },
+
+      userContext: this.userContext(),
+      setTimeout,
+      clearTimeout,
+      fail: () => {}
+    });
+    this.currentRun.then(() => complete(true));
+
+    function complete(enabledAgain) {
+      self.result.status = self.status(enabledAgain);
+      self.resultCallback(self.result);
+
+      if (onComplete) {
+        onComplete();
+      }
+    }
+  }
+
+  cancel() {
+    if (this.currentRun) {
+      this.currentRun.cancel();
+    }
+  }
+
+  onException(error) {
+    if (Spec.isPendingSpecException(error)) {
+      this.pend(extractCustomPendingMessage(error));
+      return;
+    }
+
+    if (error instanceof _ExpectationFailed.default) {
+      return;
+    }
+
+    this.addExpectationResult(
+      false,
+      {
+        matcherName: '',
+        passed: false,
+        expected: '',
+        actual: '',
+        error: this.isAssertionError(error)
+          ? (0, _assertionErrorMessage.default)(error, {
+              expand: this.expand
+            })
+          : error
+      },
+      true
+    );
+  }
+
+  disable() {
+    this.disabled = true;
+  }
+
+  pend(message) {
+    this.markedPending = true;
+
+    if (message) {
+      this.result.pendingReason = message;
+    }
+  }
+
+  todo() {
+    this.markedTodo = true;
+  }
+
+  getResult() {
+    this.result.status = this.status();
+    return this.result;
+  }
+
+  status(enabled) {
+    if (this.disabled || enabled === false) {
+      return 'disabled';
+    }
+
+    if (this.markedTodo) {
+      return 'todo';
+    }
+
+    if (this.markedPending) {
+      return 'pending';
+    }
+
+    if (this.result.failedExpectations.length > 0) {
+      return 'failed';
+    } else {
+      return 'passed';
+    }
+  }
+
+  isExecutable() {
+    return !this.disabled;
+  }
+
+  getFullName() {
+    return this.getSpecName(this);
+  }
+
+  isAssertionError(error) {
+    return (
+      error instanceof _assert.AssertionError ||
+      (error && error.name === _assert.AssertionError.name)
+    );
+  }
+}
+
+exports.default = Spec;
+
+_defineProperty(Spec, 'pendingSpecExceptionMessage', void 0);
+
+Spec.pendingSpecExceptionMessage = '=> marked Pending';
+
+const extractCustomPendingMessage = function (e) {
+  const fullMessage = e.toString();
+  const boilerplateStart = fullMessage.indexOf(
+    Spec.pendingSpecExceptionMessage
+  );
+  const boilerplateEnd =
+    boilerplateStart + Spec.pendingSpecExceptionMessage.length;
+  return fullMessage.substr(boilerplateEnd);
+};
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/SpyStrategy.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/SpyStrategy.d.ts
new file mode 100644
index 000000000..a54754d42
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/SpyStrategy.d.ts
@@ -0,0 +1,22 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+export default class SpyStrategy {
+    identity: () => string;
+    exec: (...args: Array<any>) => unknown;
+    callThrough: () => unknown;
+    returnValue: (value: unknown) => unknown;
+    returnValues: () => unknown;
+    throwError: (something: string | Error) => unknown;
+    callFake: (fn: Function) => unknown;
+    stub: (fn: Function) => unknown;
+    constructor({ name, fn, getSpy, }?: {
+        name?: string;
+        fn?: Function;
+        getSpy?: () => unknown;
+    });
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/SpyStrategy.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/SpyStrategy.js
new file mode 100644
index 000000000..ce1679452
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/SpyStrategy.js
@@ -0,0 +1,141 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+// This file is a heavily modified fork of Jasmine. Original license:
+
+/*
+Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+class SpyStrategy {
+  constructor({
+    name = 'unknown',
+    fn = function () {},
+    getSpy = function () {}
+  } = {}) {
+    _defineProperty(this, 'identity', void 0);
+
+    _defineProperty(this, 'exec', void 0);
+
+    _defineProperty(this, 'callThrough', void 0);
+
+    _defineProperty(this, 'returnValue', void 0);
+
+    _defineProperty(this, 'returnValues', void 0);
+
+    _defineProperty(this, 'throwError', void 0);
+
+    _defineProperty(this, 'callFake', void 0);
+
+    _defineProperty(this, 'stub', void 0);
+
+    const identity = name;
+    const originalFn = fn;
+
+    let plan = function () {};
+
+    this.identity = function () {
+      return identity;
+    };
+
+    this.exec = function () {
+      return plan.apply(this, arguments);
+    };
+
+    this.callThrough = function () {
+      plan = originalFn;
+      return getSpy();
+    };
+
+    this.returnValue = function (value) {
+      plan = function () {
+        return value;
+      };
+
+      return getSpy();
+    };
+
+    this.returnValues = function () {
+      const values = Array.prototype.slice.call(arguments);
+
+      plan = function () {
+        return values.shift();
+      };
+
+      return getSpy();
+    };
+
+    this.throwError = function (something) {
+      const error =
+        something instanceof Error ? something : new Error(something);
+
+      plan = function () {
+        throw error;
+      };
+
+      return getSpy();
+    };
+
+    this.callFake = function (fn) {
+      if (typeof fn !== 'function') {
+        throw new Error(
+          'Argument passed to callFake should be a function, got ' + fn
+        );
+      }
+
+      plan = fn;
+      return getSpy();
+    };
+
+    this.stub = function (_fn) {
+      plan = function () {};
+
+      return getSpy();
+    };
+  }
+}
+
+exports.default = SpyStrategy;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Suite.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Suite.d.ts
new file mode 100644
index 000000000..7bfd374e0
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Suite.d.ts
@@ -0,0 +1,61 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Config } from '@jest/types';
+import expectationResultFactory from '../expectationResultFactory';
+import type { QueueableFn } from '../queueRunner';
+import type Spec from './Spec';
+export declare type SuiteResult = {
+    id: string;
+    description: string;
+    fullName: string;
+    failedExpectations: Array<ReturnType<typeof expectationResultFactory>>;
+    testPath: Config.Path;
+    status?: string;
+};
+export declare type Attributes = {
+    id: string;
+    parentSuite?: Suite;
+    description: string;
+    throwOnExpectationFailure?: boolean;
+    getTestPath: () => Config.Path;
+};
+export default class Suite {
+    id: string;
+    parentSuite?: Suite;
+    description: string;
+    throwOnExpectationFailure: boolean;
+    beforeFns: Array<QueueableFn>;
+    afterFns: Array<QueueableFn>;
+    beforeAllFns: Array<QueueableFn>;
+    afterAllFns: Array<QueueableFn>;
+    disabled: boolean;
+    children: Array<Suite | Spec>;
+    result: SuiteResult;
+    sharedContext?: object;
+    markedPending: boolean;
+    markedTodo: boolean;
+    isFocused: boolean;
+    constructor(attrs: Attributes);
+    getFullName(): string;
+    disable(): void;
+    pend(_message?: string): void;
+    beforeEach(fn: QueueableFn): void;
+    beforeAll(fn: QueueableFn): void;
+    afterEach(fn: QueueableFn): void;
+    afterAll(fn: QueueableFn): void;
+    addChild(child: Suite | Spec): void;
+    status(): "failed" | "pending" | "disabled" | "finished";
+    isExecutable(): boolean;
+    canBeReentered(): boolean;
+    getResult(): SuiteResult;
+    sharedUserContext(): object;
+    clonedSharedUserContext(): object;
+    onException(...args: Parameters<Spec['onException']>): void;
+    addExpectationResult(...args: Parameters<Spec['addExpectationResult']>): void;
+    execute(..._args: Array<any>): void;
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Suite.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Suite.js
new file mode 100644
index 000000000..f1a505121
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Suite.js
@@ -0,0 +1,235 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _jestUtil = require('jest-util');
+
+var _ExpectationFailed = _interopRequireDefault(
+  require('../ExpectationFailed')
+);
+
+var _expectationResultFactory = _interopRequireDefault(
+  require('../expectationResultFactory')
+);
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+class Suite {
+  constructor(attrs) {
+    _defineProperty(this, 'id', void 0);
+
+    _defineProperty(this, 'parentSuite', void 0);
+
+    _defineProperty(this, 'description', void 0);
+
+    _defineProperty(this, 'throwOnExpectationFailure', void 0);
+
+    _defineProperty(this, 'beforeFns', void 0);
+
+    _defineProperty(this, 'afterFns', void 0);
+
+    _defineProperty(this, 'beforeAllFns', void 0);
+
+    _defineProperty(this, 'afterAllFns', void 0);
+
+    _defineProperty(this, 'disabled', void 0);
+
+    _defineProperty(this, 'children', void 0);
+
+    _defineProperty(this, 'result', void 0);
+
+    _defineProperty(this, 'sharedContext', void 0);
+
+    _defineProperty(this, 'markedPending', void 0);
+
+    _defineProperty(this, 'markedTodo', void 0);
+
+    _defineProperty(this, 'isFocused', void 0);
+
+    this.markedPending = false;
+    this.markedTodo = false;
+    this.isFocused = false;
+    this.id = attrs.id;
+    this.parentSuite = attrs.parentSuite;
+    this.description = (0, _jestUtil.convertDescriptorToString)(
+      attrs.description
+    );
+    this.throwOnExpectationFailure = !!attrs.throwOnExpectationFailure;
+    this.beforeFns = [];
+    this.afterFns = [];
+    this.beforeAllFns = [];
+    this.afterAllFns = [];
+    this.disabled = false;
+    this.children = [];
+    this.result = {
+      id: this.id,
+      description: this.description,
+      fullName: this.getFullName(),
+      failedExpectations: [],
+      testPath: attrs.getTestPath()
+    };
+  }
+
+  getFullName() {
+    const fullName = [];
+
+    for (
+      let parentSuite = this;
+      parentSuite;
+      parentSuite = parentSuite.parentSuite
+    ) {
+      if (parentSuite.parentSuite) {
+        fullName.unshift(parentSuite.description);
+      }
+    }
+
+    return fullName.join(' ');
+  }
+
+  disable() {
+    this.disabled = true;
+  }
+
+  pend(_message) {
+    this.markedPending = true;
+  }
+
+  beforeEach(fn) {
+    this.beforeFns.unshift(fn);
+  }
+
+  beforeAll(fn) {
+    this.beforeAllFns.push(fn);
+  }
+
+  afterEach(fn) {
+    this.afterFns.unshift(fn);
+  }
+
+  afterAll(fn) {
+    this.afterAllFns.unshift(fn);
+  }
+
+  addChild(child) {
+    this.children.push(child);
+  }
+
+  status() {
+    if (this.disabled) {
+      return 'disabled';
+    }
+
+    if (this.markedPending) {
+      return 'pending';
+    }
+
+    if (this.result.failedExpectations.length > 0) {
+      return 'failed';
+    } else {
+      return 'finished';
+    }
+  }
+
+  isExecutable() {
+    return !this.disabled;
+  }
+
+  canBeReentered() {
+    return this.beforeAllFns.length === 0 && this.afterAllFns.length === 0;
+  }
+
+  getResult() {
+    this.result.status = this.status();
+    return this.result;
+  }
+
+  sharedUserContext() {
+    if (!this.sharedContext) {
+      this.sharedContext = {};
+    }
+
+    return this.sharedContext;
+  }
+
+  clonedSharedUserContext() {
+    return this.sharedUserContext();
+  }
+
+  onException(...args) {
+    if (args[0] instanceof _ExpectationFailed.default) {
+      return;
+    }
+
+    if (isAfterAll(this.children)) {
+      const data = {
+        matcherName: '',
+        passed: false,
+        expected: '',
+        actual: '',
+        error: arguments[0]
+      };
+      this.result.failedExpectations.push(
+        (0, _expectationResultFactory.default)(data)
+      );
+    } else {
+      for (let i = 0; i < this.children.length; i++) {
+        const child = this.children[i];
+        child.onException.apply(child, args);
+      }
+    }
+  }
+
+  addExpectationResult(...args) {
+    if (isAfterAll(this.children) && isFailure(args)) {
+      const data = args[1];
+      this.result.failedExpectations.push(
+        (0, _expectationResultFactory.default)(data)
+      );
+
+      if (this.throwOnExpectationFailure) {
+        throw new _ExpectationFailed.default();
+      }
+    } else {
+      for (let i = 0; i < this.children.length; i++) {
+        const child = this.children[i];
+
+        try {
+          child.addExpectationResult.apply(child, args);
+        } catch (e) {
+          // keep going
+        }
+      }
+    }
+  }
+
+  execute(..._args) {}
+}
+
+exports.default = Suite;
+
+function isAfterAll(children) {
+  return children && children[0] && children[0].result.status;
+}
+
+function isFailure(args) {
+  return !args[0];
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Timer.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Timer.d.ts
new file mode 100644
index 000000000..17c97e615
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Timer.d.ts
@@ -0,0 +1,14 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+export default class Timer {
+    start: () => void;
+    elapsed: () => number;
+    constructor(options?: {
+        now?: () => number;
+    });
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Timer.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Timer.js
new file mode 100644
index 000000000..61839408e
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/Timer.js
@@ -0,0 +1,79 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+// This file is a heavily modified fork of Jasmine. Original license:
+
+/*
+Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+const defaultNow = (function (Date) {
+  return function () {
+    return new Date().getTime();
+  };
+})(Date);
+
+class Timer {
+  constructor(options) {
+    _defineProperty(this, 'start', void 0);
+
+    _defineProperty(this, 'elapsed', void 0);
+
+    options = options || {};
+    const now = options.now || defaultNow;
+    let startTime;
+
+    this.start = function () {
+      startTime = now();
+    };
+
+    this.elapsed = function () {
+      return now() - startTime;
+    };
+  }
+}
+
+exports.default = Timer;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/createSpy.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/createSpy.d.ts
new file mode 100644
index 000000000..5f23ea9fb
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/createSpy.d.ts
@@ -0,0 +1,13 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Spy } from '../types';
+interface Fn extends Record<string, any> {
+    (): any;
+}
+declare function createSpy(name: string, originalFn: Fn): Spy;
+export default createSpy;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/createSpy.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/createSpy.js
new file mode 100644
index 000000000..44f487aa3
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/createSpy.js
@@ -0,0 +1,88 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _CallTracker = _interopRequireDefault(require('./CallTracker'));
+
+var _SpyStrategy = _interopRequireDefault(require('./SpyStrategy'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+// This file is a heavily modified fork of Jasmine. Original license:
+
+/*
+Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+
+/* eslint-disable sort-keys */
+function createSpy(name, originalFn) {
+  const spyStrategy = new _SpyStrategy.default({
+    name,
+    fn: originalFn,
+
+    getSpy() {
+      return spy;
+    }
+  });
+  const callTracker = new _CallTracker.default();
+
+  const spy = function (...args) {
+    const callData = {
+      object: this,
+      args: Array.prototype.slice.apply(arguments)
+    };
+    callTracker.track(callData);
+    const returnValue = spyStrategy.exec.apply(this, args);
+    callData.returnValue = returnValue;
+    return returnValue;
+  };
+
+  for (const prop in originalFn) {
+    if (prop === 'and' || prop === 'calls') {
+      throw new Error(
+        "Jasmine spies would overwrite the 'and' and 'calls' properties " +
+          'on the object being spied upon'
+      );
+    }
+
+    spy[prop] = originalFn[prop];
+  }
+
+  spy.and = spyStrategy;
+  spy.calls = callTracker;
+  return spy;
+}
+
+var _default = createSpy;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/jasmineLight.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/jasmineLight.d.ts
new file mode 100644
index 000000000..649a15a83
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/jasmineLight.d.ts
@@ -0,0 +1,27 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Jasmine } from '../types';
+import JsApiReporter from './JsApiReporter';
+export declare const create: (createOptions: Record<string, any>) => Jasmine;
+export declare const _interface: (jasmine: Jasmine, env: any) => {
+    describe(description: string, specDefinitions: Function): any;
+    xdescribe(description: string, specDefinitions: Function): any;
+    fdescribe(description: string, specDefinitions: Function): any;
+    it(): any;
+    xit(): any;
+    fit(): any;
+    beforeEach(): any;
+    afterEach(): any;
+    beforeAll(): any;
+    afterAll(): any;
+    pending(): any;
+    fail(): any;
+    spyOn(obj: Record<string, any>, methodName: string, accessType?: string | undefined): any;
+    jsApiReporter: JsApiReporter;
+    jasmine: Jasmine;
+};
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/jasmineLight.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/jasmineLight.js
new file mode 100644
index 000000000..2ea6a0cb6
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/jasmineLight.js
@@ -0,0 +1,171 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports._interface = exports.create = void 0;
+
+var _createSpy = _interopRequireDefault(require('./createSpy'));
+
+var _Env = _interopRequireDefault(require('./Env'));
+
+var _JsApiReporter = _interopRequireDefault(require('./JsApiReporter'));
+
+var _ReportDispatcher = _interopRequireDefault(require('./ReportDispatcher'));
+
+var _Spec = _interopRequireDefault(require('./Spec'));
+
+var _spyRegistry = _interopRequireDefault(require('./spyRegistry'));
+
+var _Suite = _interopRequireDefault(require('./Suite'));
+
+var _Timer = _interopRequireDefault(require('./Timer'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+// This file is a heavily modified fork of Jasmine. Original license:
+
+/*
+Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+
+/* eslint-disable sort-keys */
+const create = function (createOptions) {
+  const j$ = {...createOptions};
+  j$._DEFAULT_TIMEOUT_INTERVAL = createOptions.testTimeout || 5000;
+
+  j$.getEnv = function (options) {
+    const env = (j$.currentEnv_ = j$.currentEnv_ || new j$.Env(options)); //jasmine. singletons in here (setTimeout blah blah).
+
+    return env;
+  };
+
+  j$.createSpy = _createSpy.default;
+  j$.Env = (0, _Env.default)(j$);
+  j$.JsApiReporter = _JsApiReporter.default;
+  j$.ReportDispatcher = _ReportDispatcher.default;
+  j$.Spec = _Spec.default;
+  j$.SpyRegistry = _spyRegistry.default;
+  j$.Suite = _Suite.default;
+  j$.Timer = _Timer.default;
+  j$.version = '2.5.2-light';
+  return j$;
+}; // Interface is a reserved word in strict mode, so can't export it as ESM
+
+exports.create = create;
+
+const _interface = function (jasmine, env) {
+  const jasmineInterface = {
+    describe(description, specDefinitions) {
+      return env.describe(description, specDefinitions);
+    },
+
+    xdescribe(description, specDefinitions) {
+      return env.xdescribe(description, specDefinitions);
+    },
+
+    fdescribe(description, specDefinitions) {
+      return env.fdescribe(description, specDefinitions);
+    },
+
+    it() {
+      return env.it.apply(env, arguments);
+    },
+
+    xit() {
+      return env.xit.apply(env, arguments);
+    },
+
+    fit() {
+      return env.fit.apply(env, arguments);
+    },
+
+    beforeEach() {
+      if (typeof arguments[0] !== 'function') {
+        throw new Error(
+          'Invalid first argument. It must be a callback function.'
+        );
+      }
+
+      return env.beforeEach.apply(env, arguments);
+    },
+
+    afterEach() {
+      if (typeof arguments[0] !== 'function') {
+        throw new Error(
+          'Invalid first argument. It must be a callback function.'
+        );
+      }
+
+      return env.afterEach.apply(env, arguments);
+    },
+
+    beforeAll() {
+      if (typeof arguments[0] !== 'function') {
+        throw new Error(
+          'Invalid first argument. It must be a callback function.'
+        );
+      }
+
+      return env.beforeAll.apply(env, arguments);
+    },
+
+    afterAll() {
+      if (typeof arguments[0] !== 'function') {
+        throw new Error(
+          'Invalid first argument. It must be a callback function.'
+        );
+      }
+
+      return env.afterAll.apply(env, arguments);
+    },
+
+    pending() {
+      return env.pending.apply(env, arguments);
+    },
+
+    fail() {
+      return env.fail.apply(env, arguments);
+    },
+
+    spyOn(obj, methodName, accessType) {
+      return env.spyOn(obj, methodName, accessType);
+    },
+
+    jsApiReporter: new jasmine.JsApiReporter({
+      timer: new jasmine.Timer()
+    }),
+    jasmine
+  };
+  return jasmineInterface;
+};
+
+exports._interface = _interface;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/spyRegistry.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/spyRegistry.d.ts
new file mode 100644
index 000000000..c5f215c31
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/spyRegistry.d.ts
@@ -0,0 +1,18 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Spy } from '../types';
+export default class SpyRegistry {
+    allowRespy: (allow: unknown) => void;
+    spyOn: (obj: Record<string, Spy>, methodName: string, accessType?: keyof PropertyDescriptor) => Spy;
+    clearSpies: () => void;
+    respy: unknown;
+    private _spyOnProperty;
+    constructor({ currentSpies, }?: {
+        currentSpies?: () => Array<Spy>;
+    });
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/spyRegistry.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/spyRegistry.js
new file mode 100644
index 000000000..6109ae30d
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmine/spyRegistry.js
@@ -0,0 +1,222 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _CallTracker = _interopRequireDefault(require('./CallTracker'));
+
+var _createSpy = _interopRequireDefault(require('./createSpy'));
+
+var _SpyStrategy = _interopRequireDefault(require('./SpyStrategy'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+const formatErrorMsg = (domain, usage) => {
+  const usageDefinition = usage ? '\nUsage: ' + usage : '';
+  return msg => domain + ' : ' + msg + usageDefinition;
+};
+
+function isSpy(putativeSpy) {
+  if (!putativeSpy) {
+    return false;
+  }
+
+  return (
+    putativeSpy.and instanceof _SpyStrategy.default &&
+    putativeSpy.calls instanceof _CallTracker.default
+  );
+}
+
+const getErrorMsg = formatErrorMsg('<spyOn>', 'spyOn(<object>, <methodName>)');
+
+class SpyRegistry {
+  constructor({currentSpies = () => []} = {}) {
+    _defineProperty(this, 'allowRespy', void 0);
+
+    _defineProperty(this, 'spyOn', void 0);
+
+    _defineProperty(this, 'clearSpies', void 0);
+
+    _defineProperty(this, 'respy', void 0);
+
+    _defineProperty(this, '_spyOnProperty', void 0);
+
+    this.allowRespy = function (allow) {
+      this.respy = allow;
+    };
+
+    this.spyOn = (obj, methodName, accessType) => {
+      if (accessType) {
+        return this._spyOnProperty(obj, methodName, accessType);
+      }
+
+      if (obj === void 0) {
+        throw new Error(
+          getErrorMsg(
+            'could not find an object to spy upon for ' + methodName + '()'
+          )
+        );
+      }
+
+      if (methodName === void 0) {
+        throw new Error(getErrorMsg('No method name supplied'));
+      }
+
+      if (obj[methodName] === void 0) {
+        throw new Error(getErrorMsg(methodName + '() method does not exist'));
+      }
+
+      if (obj[methodName] && isSpy(obj[methodName])) {
+        if (this.respy) {
+          return obj[methodName];
+        } else {
+          throw new Error(
+            getErrorMsg(methodName + ' has already been spied upon')
+          );
+        }
+      }
+
+      let descriptor;
+
+      try {
+        descriptor = Object.getOwnPropertyDescriptor(obj, methodName);
+      } catch (e) {
+        // IE 8 doesn't support `definePropery` on non-DOM nodes
+      }
+
+      if (descriptor && !(descriptor.writable || descriptor.set)) {
+        throw new Error(
+          getErrorMsg(methodName + ' is not declared writable or has no setter')
+        );
+      }
+
+      const originalMethod = obj[methodName];
+      const spiedMethod = (0, _createSpy.default)(methodName, originalMethod);
+      let restoreStrategy;
+
+      if (Object.prototype.hasOwnProperty.call(obj, methodName)) {
+        restoreStrategy = function () {
+          obj[methodName] = originalMethod;
+        };
+      } else {
+        restoreStrategy = function () {
+          if (!delete obj[methodName]) {
+            obj[methodName] = originalMethod;
+          }
+        };
+      }
+
+      currentSpies().push({
+        restoreObjectToOriginalState: restoreStrategy
+      });
+      obj[methodName] = spiedMethod;
+      return spiedMethod;
+    };
+
+    this._spyOnProperty = function (obj, propertyName, accessType = 'get') {
+      if (!obj) {
+        throw new Error(
+          getErrorMsg(
+            'could not find an object to spy upon for ' + propertyName
+          )
+        );
+      }
+
+      if (!propertyName) {
+        throw new Error(getErrorMsg('No property name supplied'));
+      }
+
+      let descriptor;
+
+      try {
+        descriptor = Object.getOwnPropertyDescriptor(obj, propertyName);
+      } catch (e) {
+        // IE 8 doesn't support `definePropery` on non-DOM nodes
+      }
+
+      if (!descriptor) {
+        throw new Error(getErrorMsg(propertyName + ' property does not exist'));
+      }
+
+      if (!descriptor.configurable) {
+        throw new Error(
+          getErrorMsg(propertyName + ' is not declared configurable')
+        );
+      }
+
+      if (!descriptor[accessType]) {
+        throw new Error(
+          getErrorMsg(
+            'Property ' +
+              propertyName +
+              ' does not have access type ' +
+              accessType
+          )
+        );
+      }
+
+      if (obj[propertyName] && isSpy(obj[propertyName])) {
+        if (this.respy) {
+          return obj[propertyName];
+        } else {
+          throw new Error(
+            getErrorMsg(propertyName + ' has already been spied upon')
+          );
+        }
+      }
+
+      const originalDescriptor = descriptor;
+      const spiedProperty = (0, _createSpy.default)(
+        propertyName,
+        descriptor[accessType]
+      );
+      let restoreStrategy;
+
+      if (Object.prototype.hasOwnProperty.call(obj, propertyName)) {
+        restoreStrategy = function () {
+          Object.defineProperty(obj, propertyName, originalDescriptor);
+        };
+      } else {
+        restoreStrategy = function () {
+          delete obj[propertyName];
+        };
+      }
+
+      currentSpies().push({
+        restoreObjectToOriginalState: restoreStrategy
+      });
+      const spiedDescriptor = {...descriptor, [accessType]: spiedProperty};
+      Object.defineProperty(obj, propertyName, spiedDescriptor);
+      return spiedProperty;
+    };
+
+    this.clearSpies = function () {
+      const spies = currentSpies();
+
+      for (let i = spies.length - 1; i >= 0; i--) {
+        const spyEntry = spies[i];
+        spyEntry.restoreObjectToOriginalState();
+      }
+    };
+  }
+}
+
+exports.default = SpyRegistry;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmineAsyncInstall.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmineAsyncInstall.d.ts
new file mode 100644
index 000000000..ec25aba4c
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmineAsyncInstall.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/**
+ * This module adds ability to test async promise code with jasmine by
+ * returning a promise from `it/test` and `before/afterEach/All` blocks.
+ */
+import type { Config, Global } from '@jest/types';
+export default function jasmineAsyncInstall(globalConfig: Config.GlobalConfig, global: Global.Global): void;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmineAsyncInstall.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmineAsyncInstall.js
new file mode 100644
index 000000000..27b4c316c
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jasmineAsyncInstall.js
@@ -0,0 +1,180 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = jasmineAsyncInstall;
+
+var _co = _interopRequireDefault(require('co'));
+
+var _isGeneratorFn = _interopRequireDefault(require('is-generator-fn'));
+
+var _throat = _interopRequireDefault(require('throat'));
+
+var _isError = _interopRequireDefault(require('./isError'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Promise = global[Symbol.for('jest-native-promise')] || global.Promise;
+
+function isPromise(obj) {
+  return obj && typeof obj.then === 'function';
+}
+
+function promisifyLifeCycleFunction(originalFn, env) {
+  return function (fn, timeout) {
+    if (!fn) {
+      return originalFn.call(env);
+    }
+
+    const hasDoneCallback = typeof fn === 'function' && fn.length > 0;
+
+    if (hasDoneCallback) {
+      // Jasmine will handle it
+      return originalFn.call(env, fn, timeout);
+    }
+
+    const extraError = new Error(); // Without this line v8 stores references to all closures
+    // in the stack in the Error object. This line stringifies the stack
+    // property to allow garbage-collecting objects on the stack
+    // https://crbug.com/v8/7142
+
+    extraError.stack = extraError.stack; // We make *all* functions async and run `done` right away if they
+    // didn't return a promise.
+
+    const asyncJestLifecycle = function (done) {
+      const wrappedFn = (0, _isGeneratorFn.default)(fn)
+        ? _co.default.wrap(fn)
+        : fn;
+      const returnValue = wrappedFn.call({});
+
+      if (isPromise(returnValue)) {
+        returnValue.then(done.bind(null, null), error => {
+          const {isError: checkIsError, message} = (0, _isError.default)(error);
+
+          if (message) {
+            extraError.message = message;
+          }
+
+          done.fail(checkIsError ? error : extraError);
+        });
+      } else {
+        done();
+      }
+    };
+
+    return originalFn.call(env, asyncJestLifecycle, timeout);
+  };
+} // Similar to promisifyLifeCycleFunction but throws an error
+// when the return value is neither a Promise nor `undefined`
+
+function promisifyIt(originalFn, env, jasmine) {
+  return function (specName, fn, timeout) {
+    if (!fn) {
+      const spec = originalFn.call(env, specName);
+      spec.pend('not implemented');
+      return spec;
+    }
+
+    const hasDoneCallback = fn.length > 0;
+
+    if (hasDoneCallback) {
+      return originalFn.call(env, specName, fn, timeout);
+    }
+
+    const extraError = new Error(); // Without this line v8 stores references to all closures
+    // in the stack in the Error object. This line stringifies the stack
+    // property to allow garbage-collecting objects on the stack
+    // https://crbug.com/v8/7142
+
+    extraError.stack = extraError.stack;
+
+    const asyncJestTest = function (done) {
+      const wrappedFn = (0, _isGeneratorFn.default)(fn)
+        ? _co.default.wrap(fn)
+        : fn;
+      const returnValue = wrappedFn.call({});
+
+      if (isPromise(returnValue)) {
+        returnValue.then(done.bind(null, null), error => {
+          const {isError: checkIsError, message} = (0, _isError.default)(error);
+
+          if (message) {
+            extraError.message = message;
+          }
+
+          if (jasmine.Spec.isPendingSpecException(error)) {
+            env.pending(message);
+            done();
+          } else {
+            done.fail(checkIsError ? error : extraError);
+          }
+        });
+      } else if (returnValue === undefined) {
+        done();
+      } else {
+        done.fail(
+          new Error(
+            'Jest: `it` and `test` must return either a Promise or undefined.'
+          )
+        );
+      }
+    };
+
+    return originalFn.call(env, specName, asyncJestTest, timeout);
+  };
+}
+
+function makeConcurrent(originalFn, env, mutex) {
+  return function (specName, fn, timeout) {
+    let promise = Promise.resolve();
+    const spec = originalFn.call(env, specName, () => promise, timeout);
+
+    if (env != null && !env.specFilter(spec)) {
+      return spec;
+    }
+
+    try {
+      promise = mutex(() => {
+        const promise = fn();
+
+        if (isPromise(promise)) {
+          return promise;
+        }
+
+        throw new Error(
+          `Jest: concurrent test "${spec.getFullName()}" must return a Promise.`
+        );
+      });
+    } catch (error) {
+      promise = Promise.reject(error);
+    }
+
+    return spec;
+  };
+}
+
+function jasmineAsyncInstall(globalConfig, global) {
+  const jasmine = global.jasmine;
+  const mutex = (0, _throat.default)(globalConfig.maxConcurrency);
+  const env = jasmine.getEnv();
+  env.it = promisifyIt(env.it, env, jasmine);
+  env.fit = promisifyIt(env.fit, env, jasmine);
+
+  global.it.concurrent = (env => {
+    const concurrent = makeConcurrent(env.it, env, mutex);
+    concurrent.only = makeConcurrent(env.fit, env, mutex);
+    concurrent.skip = makeConcurrent(env.xit, env, mutex);
+    return concurrent;
+  })(env);
+
+  global.fit.concurrent = makeConcurrent(env.fit, env, mutex);
+  env.afterAll = promisifyLifeCycleFunction(env.afterAll, env);
+  env.afterEach = promisifyLifeCycleFunction(env.afterEach, env);
+  env.beforeAll = promisifyLifeCycleFunction(env.beforeAll, env);
+  env.beforeEach = promisifyLifeCycleFunction(env.beforeEach, env);
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jestExpect.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jestExpect.d.ts
new file mode 100644
index 000000000..0557578a6
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jestExpect.d.ts
@@ -0,0 +1,10 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare const _default: (config: {
+    expand: boolean;
+}) => void;
+export default _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/jestExpect.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jestExpect.js
new file mode 100644
index 000000000..19f1684c5
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/jestExpect.js
@@ -0,0 +1,69 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _expect = _interopRequireDefault(require('expect'));
+
+var _jestSnapshot = require('jest-snapshot');
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+var _default = config => {
+  global.expect = _expect.default;
+
+  _expect.default.setState({
+    expand: config.expand
+  });
+
+  _expect.default.extend({
+    toMatchInlineSnapshot: _jestSnapshot.toMatchInlineSnapshot,
+    toMatchSnapshot: _jestSnapshot.toMatchSnapshot,
+    toThrowErrorMatchingInlineSnapshot:
+      _jestSnapshot.toThrowErrorMatchingInlineSnapshot,
+    toThrowErrorMatchingSnapshot: _jestSnapshot.toThrowErrorMatchingSnapshot
+  });
+
+  _expect.default.addSnapshotSerializer = _jestSnapshot.addSerializer;
+  const jasmine = global.jasmine;
+  jasmine.anything = _expect.default.anything;
+  jasmine.any = _expect.default.any;
+  jasmine.objectContaining = _expect.default.objectContaining;
+  jasmine.arrayContaining = _expect.default.arrayContaining;
+  jasmine.stringMatching = _expect.default.stringMatching;
+
+  jasmine.addMatchers = jasmineMatchersObject => {
+    const jestMatchersObject = Object.create(null);
+    Object.keys(jasmineMatchersObject).forEach(name => {
+      jestMatchersObject[name] = function (...args) {
+        // use "expect.extend" if you need to use equality testers (via this.equal)
+        const result = jasmineMatchersObject[name](null, null); // if there is no 'negativeCompare', both should be handled by `compare`
+
+        const negativeCompare = result.negativeCompare || result.compare;
+        return this.isNot
+          ? negativeCompare.apply(
+              null, // @ts-ignore
+              args
+            )
+          : result.compare.apply(
+              null, // @ts-ignore
+              args
+            );
+      };
+    });
+    const expect = global.expect;
+    expect.extend(jestMatchersObject);
+  };
+};
+
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/pTimeout.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/pTimeout.d.ts
new file mode 100644
index 000000000..35eb08201
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/pTimeout.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function pTimeout(promise: Promise<any>, ms: number, clearTimeout: NodeJS.Global['clearTimeout'], setTimeout: NodeJS.Global['setTimeout'], onTimeout: () => any): Promise<any>;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/pTimeout.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/pTimeout.js
new file mode 100644
index 000000000..4f878955a
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/pTimeout.js
@@ -0,0 +1,33 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = pTimeout;
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Promise = global[Symbol.for('jest-native-promise')] || global.Promise;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// A specialized version of `p-timeout` that does not touch globals.
+// It does not throw on timeout.
+function pTimeout(promise, ms, clearTimeout, setTimeout, onTimeout) {
+  return new Promise((resolve, reject) => {
+    const timer = setTimeout(() => resolve(onTimeout()), ms);
+    promise.then(
+      val => {
+        clearTimeout(timer);
+        resolve(val);
+      },
+      err => {
+        clearTimeout(timer);
+        reject(err);
+      }
+    );
+  });
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/queueRunner.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/queueRunner.d.ts
new file mode 100644
index 000000000..9c60f33ab
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/queueRunner.d.ts
@@ -0,0 +1,26 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare type Global = NodeJS.Global;
+export declare type Options = {
+    clearTimeout: Global['clearTimeout'];
+    fail: (error: Error) => void;
+    onException: (error: Error) => void;
+    queueableFns: Array<QueueableFn>;
+    setTimeout: Global['setTimeout'];
+    userContext: any;
+};
+export declare type QueueableFn = {
+    fn: (done: (error?: any) => void) => void;
+    timeout?: () => number;
+    initError?: Error;
+};
+export default function queueRunner(options: Options): {
+    cancel: any;
+    catch: <TResult = never>(onrejected?: ((reason: any) => TResult | PromiseLike<TResult>) | null | undefined) => Promise<void | TResult>;
+    then: <TResult1 = void, TResult2 = never>(onfulfilled?: ((value: void) => TResult1 | PromiseLike<TResult1>) | null | undefined, onrejected?: ((reason: any) => TResult2 | PromiseLike<TResult2>) | null | undefined) => Promise<TResult1 | TResult2>;
+};
+export {};
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/queueRunner.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/queueRunner.js
new file mode 100644
index 000000000..d2b316584
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/queueRunner.js
@@ -0,0 +1,83 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = queueRunner;
+
+var _PCancelable = _interopRequireDefault(require('./PCancelable'));
+
+var _pTimeout = _interopRequireDefault(require('./pTimeout'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Promise = global[Symbol.for('jest-native-promise')] || global.Promise;
+
+// har to type :(
+// eslint-disable-next-line @typescript-eslint/explicit-module-boundary-types
+function queueRunner(options) {
+  const token = new _PCancelable.default((onCancel, resolve) => {
+    onCancel(resolve);
+  });
+
+  const mapper = ({fn, timeout, initError = new Error()}) => {
+    let promise = new Promise(resolve => {
+      const next = function (...args) {
+        const err = args[0];
+
+        if (err) {
+          options.fail.apply(null, args);
+        }
+
+        resolve();
+      };
+
+      next.fail = function (...args) {
+        options.fail.apply(null, args);
+        resolve();
+      };
+
+      try {
+        fn.call(options.userContext, next);
+      } catch (e) {
+        options.onException(e);
+        resolve();
+      }
+    });
+    promise = Promise.race([promise, token]);
+
+    if (!timeout) {
+      return promise;
+    }
+
+    const timeoutMs = timeout();
+    return (0, _pTimeout.default)(
+      promise,
+      timeoutMs,
+      options.clearTimeout,
+      options.setTimeout,
+      () => {
+        initError.message =
+          'Timeout - Async callback was not invoked within the ' +
+          timeoutMs +
+          'ms timeout specified by jest.setTimeout.';
+        initError.stack = initError.message + initError.stack;
+        options.onException(initError);
+      }
+    );
+  };
+
+  const result = options.queueableFns.reduce(
+    (promise, fn) => promise.then(() => mapper(fn)),
+    Promise.resolve()
+  );
+  return {
+    cancel: token.cancel.bind(token),
+    catch: result.catch.bind(result),
+    then: result.then.bind(result)
+  };
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/reporter.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/reporter.d.ts
new file mode 100644
index 000000000..902d4510f
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/reporter.d.ts
@@ -0,0 +1,31 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import { TestResult } from '@jest/test-result';
+import type { SpecResult } from './jasmine/Spec';
+import type { SuiteResult } from './jasmine/Suite';
+import type { Reporter, RunDetails } from './types';
+export default class Jasmine2Reporter implements Reporter {
+    private _testResults;
+    private _globalConfig;
+    private _config;
+    private _currentSuites;
+    private _resolve;
+    private _resultsPromise;
+    private _startTimes;
+    private _testPath;
+    constructor(globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, testPath: Config.Path);
+    jasmineStarted(_runDetails: RunDetails): void;
+    specStarted(spec: SpecResult): void;
+    specDone(result: SpecResult): void;
+    suiteStarted(suite: SuiteResult): void;
+    suiteDone(_result: SuiteResult): void;
+    jasmineDone(_runDetails: RunDetails): void;
+    getResults(): Promise<TestResult>;
+    private _addMissingMessageToStack;
+    private _extractSpecResults;
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/reporter.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/reporter.js
new file mode 100644
index 000000000..10b1cd2eb
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/reporter.js
@@ -0,0 +1,175 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _testResult = require('@jest/test-result');
+
+var _jestMessageUtil = require('jest-message-util');
+
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var jestNow = global[Symbol.for('jest-native-now')] || global.Date.now;
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Promise = global[Symbol.for('jest-native-promise')] || global.Promise;
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+class Jasmine2Reporter {
+  constructor(globalConfig, config, testPath) {
+    _defineProperty(this, '_testResults', void 0);
+
+    _defineProperty(this, '_globalConfig', void 0);
+
+    _defineProperty(this, '_config', void 0);
+
+    _defineProperty(this, '_currentSuites', void 0);
+
+    _defineProperty(this, '_resolve', void 0);
+
+    _defineProperty(this, '_resultsPromise', void 0);
+
+    _defineProperty(this, '_startTimes', void 0);
+
+    _defineProperty(this, '_testPath', void 0);
+
+    this._globalConfig = globalConfig;
+    this._config = config;
+    this._testPath = testPath;
+    this._testResults = [];
+    this._currentSuites = [];
+    this._resolve = null;
+    this._resultsPromise = new Promise(resolve => (this._resolve = resolve));
+    this._startTimes = new Map();
+  }
+
+  jasmineStarted(_runDetails) {}
+
+  specStarted(spec) {
+    this._startTimes.set(spec.id, jestNow());
+  }
+
+  specDone(result) {
+    this._testResults.push(
+      this._extractSpecResults(result, this._currentSuites.slice(0))
+    );
+  }
+
+  suiteStarted(suite) {
+    this._currentSuites.push(suite.description);
+  }
+
+  suiteDone(_result) {
+    this._currentSuites.pop();
+  }
+
+  jasmineDone(_runDetails) {
+    let numFailingTests = 0;
+    let numPassingTests = 0;
+    let numPendingTests = 0;
+    let numTodoTests = 0;
+    const testResults = this._testResults;
+    testResults.forEach(testResult => {
+      if (testResult.status === 'failed') {
+        numFailingTests++;
+      } else if (testResult.status === 'pending') {
+        numPendingTests++;
+      } else if (testResult.status === 'todo') {
+        numTodoTests++;
+      } else {
+        numPassingTests++;
+      }
+    });
+    const testResult = {
+      ...(0, _testResult.createEmptyTestResult)(),
+      console: null,
+      failureMessage: (0, _jestMessageUtil.formatResultsErrors)(
+        testResults,
+        this._config,
+        this._globalConfig,
+        this._testPath
+      ),
+      numFailingTests,
+      numPassingTests,
+      numPendingTests,
+      numTodoTests,
+      snapshot: {
+        added: 0,
+        fileDeleted: false,
+        matched: 0,
+        unchecked: 0,
+        unmatched: 0,
+        updated: 0
+      },
+      testFilePath: this._testPath,
+      testResults
+    };
+
+    this._resolve(testResult);
+  }
+
+  getResults() {
+    return this._resultsPromise;
+  }
+
+  _addMissingMessageToStack(stack, message) {
+    // Some errors (e.g. Angular injection error) don't prepend error.message
+    // to stack, instead the first line of the stack is just plain 'Error'
+    const ERROR_REGEX = /^Error:?\s*\n/;
+
+    if (stack && message && !stack.includes(message)) {
+      return message + stack.replace(ERROR_REGEX, '\n');
+    }
+
+    return stack;
+  }
+
+  _extractSpecResults(specResult, ancestorTitles) {
+    const start = this._startTimes.get(specResult.id);
+
+    const duration = start ? jestNow() - start : undefined;
+    const status =
+      specResult.status === 'disabled' ? 'pending' : specResult.status;
+    const location = specResult.__callsite
+      ? {
+          column: specResult.__callsite.getColumnNumber(),
+          line: specResult.__callsite.getLineNumber()
+        }
+      : null;
+    const results = {
+      ancestorTitles,
+      duration,
+      failureMessages: [],
+      fullName: specResult.fullName,
+      location,
+      numPassingAsserts: 0,
+      // Jasmine2 only returns an array of failed asserts.
+      status,
+      title: specResult.description
+    };
+    specResult.failedExpectations.forEach(failed => {
+      const message =
+        !failed.matcherName && failed.stack
+          ? this._addMissingMessageToStack(failed.stack, failed.message)
+          : failed.message || '';
+      results.failureMessages.push(message);
+    });
+    return results;
+  }
+}
+
+exports.default = Jasmine2Reporter;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/setup_jest_globals.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/setup_jest_globals.d.ts
new file mode 100644
index 000000000..0f89d4439
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/setup_jest_globals.d.ts
@@ -0,0 +1,16 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import type { Plugin } from 'pretty-format';
+export declare type SetupOptions = {
+    config: Config.ProjectConfig;
+    globalConfig: Config.GlobalConfig;
+    localRequire: (moduleName: string) => Plugin;
+    testPath: Config.Path;
+};
+declare const _default: ({ config, globalConfig, localRequire, testPath, }: SetupOptions) => import("jest-snapshot/build/State").default;
+export default _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/setup_jest_globals.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/setup_jest_globals.js
new file mode 100644
index 000000000..875345b46
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/setup_jest_globals.js
@@ -0,0 +1,114 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _expect = require('expect');
+
+var _jestSnapshot = require('jest-snapshot');
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// Get suppressed errors form  jest-matchers that weren't throw during
+// test execution and add them to the test result, potentially failing
+// a passing test.
+const addSuppressedErrors = result => {
+  const {suppressedErrors} = (0, _expect.getState)();
+  (0, _expect.setState)({
+    suppressedErrors: []
+  });
+
+  if (suppressedErrors.length) {
+    result.status = 'failed';
+    result.failedExpectations = suppressedErrors.map(error => ({
+      actual: '',
+      // passing error for custom test reporters
+      error,
+      expected: '',
+      matcherName: '',
+      message: error.message,
+      passed: false,
+      stack: error.stack
+    }));
+  }
+};
+
+const addAssertionErrors = result => {
+  const assertionErrors = (0, _expect.extractExpectedAssertionsErrors)();
+
+  if (assertionErrors.length) {
+    const jasmineErrors = assertionErrors.map(({actual, error, expected}) => ({
+      actual,
+      expected,
+      message: error.stack,
+      passed: false
+    }));
+    result.status = 'failed';
+    result.failedExpectations = result.failedExpectations.concat(jasmineErrors);
+  }
+};
+
+const patchJasmine = () => {
+  global.jasmine.Spec = (realSpec => {
+    class Spec extends realSpec {
+      constructor(attr) {
+        const resultCallback = attr.resultCallback;
+
+        attr.resultCallback = function (result) {
+          addSuppressedErrors(result);
+          addAssertionErrors(result);
+          resultCallback.call(attr, result);
+        };
+
+        const onStart = attr.onStart;
+
+        attr.onStart = context => {
+          (0, _expect.setState)({
+            currentTestName: context.getFullName()
+          });
+          onStart && onStart.call(attr, context);
+        };
+
+        super(attr);
+      }
+    }
+
+    return Spec;
+  })(global.jasmine.Spec);
+};
+
+var _default = ({config, globalConfig, localRequire, testPath}) => {
+  // Jest tests snapshotSerializers in order preceding built-in serializers.
+  // Therefore, add in reverse because the last added is the first tested.
+  config.snapshotSerializers
+    .concat()
+    .reverse()
+    .forEach(path => {
+      (0, _jestSnapshot.addSerializer)(localRequire(path));
+    });
+  patchJasmine();
+  const {expand, updateSnapshot} = globalConfig;
+  const snapshotResolver = (0, _jestSnapshot.buildSnapshotResolver)(config);
+  const snapshotPath = snapshotResolver.resolveSnapshotPath(testPath);
+  const snapshotState = new _jestSnapshot.SnapshotState(snapshotPath, {
+    expand,
+    getBabelTraverse: () => require('@babel/traverse').default,
+    getPrettier: () =>
+      config.prettierPath ? require(config.prettierPath) : null,
+    updateSnapshot
+  });
+  (0, _expect.setState)({
+    snapshotState,
+    testPath
+  }); // Return it back to the outer scope (test runner outside the VM).
+
+  return snapshotState;
+};
+
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/treeProcessor.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/treeProcessor.d.ts
new file mode 100644
index 000000000..725de8a1c
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/treeProcessor.d.ts
@@ -0,0 +1,26 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type Suite from './jasmine/Suite';
+declare type Options = {
+    nodeComplete: (suite: TreeNode) => void;
+    nodeStart: (suite: TreeNode) => void;
+    queueRunnerFactory: any;
+    runnableIds: Array<string>;
+    tree: TreeNode;
+};
+export declare type TreeNode = {
+    afterAllFns: Array<any>;
+    beforeAllFns: Array<any>;
+    disabled?: boolean;
+    execute: (onComplete: () => void, enabled: boolean) => void;
+    id: string;
+    onException: (error: Error) => void;
+    sharedUserContext: () => any;
+    children?: Array<TreeNode>;
+} & Pick<Suite, 'getResult' | 'parentSuite' | 'result' | 'markedPending'>;
+export default function treeProcessor(options: Options): void;
+export {};
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/treeProcessor.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/treeProcessor.js
new file mode 100644
index 000000000..a9c682544
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/treeProcessor.js
@@ -0,0 +1,79 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = treeProcessor;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function treeProcessor(options) {
+  const {
+    nodeComplete,
+    nodeStart,
+    queueRunnerFactory,
+    runnableIds,
+    tree
+  } = options;
+
+  function isEnabled(node, parentEnabled) {
+    return parentEnabled || runnableIds.indexOf(node.id) !== -1;
+  }
+
+  function getNodeHandler(node, parentEnabled) {
+    const enabled = isEnabled(node, parentEnabled);
+    return node.children
+      ? getNodeWithChildrenHandler(node, enabled)
+      : getNodeWithoutChildrenHandler(node, enabled);
+  }
+
+  function getNodeWithoutChildrenHandler(node, enabled) {
+    return function fn(done = () => {}) {
+      node.execute(done, enabled);
+    };
+  }
+
+  function getNodeWithChildrenHandler(node, enabled) {
+    return async function fn(done = () => {}) {
+      nodeStart(node);
+      await queueRunnerFactory({
+        onException: error => node.onException(error),
+        queueableFns: wrapChildren(node, enabled),
+        userContext: node.sharedUserContext()
+      });
+      nodeComplete(node);
+      done();
+    };
+  }
+
+  function hasNoEnabledTest(node) {
+    if (node.children) {
+      return node.children.every(hasNoEnabledTest);
+    }
+
+    return node.disabled || node.markedPending;
+  }
+
+  function wrapChildren(node, enabled) {
+    if (!node.children) {
+      throw new Error('`node.children` is not defined.');
+    }
+
+    const children = node.children.map(child => ({
+      fn: getNodeHandler(child, enabled)
+    }));
+
+    if (hasNoEnabledTest(node)) {
+      return children;
+    }
+
+    return node.beforeAllFns.concat(children).concat(node.afterAllFns);
+  }
+
+  const treeHandler = getNodeHandler(tree, false);
+  return treeHandler();
+}
diff --git a/node_modules/jest-jasmine2/build/ts3.4/ExpectationFailed.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/ExpectationFailed.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/ExpectationFailed.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/ExpectationFailed.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/assertionErrorMessage.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/assertionErrorMessage.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/assertionErrorMessage.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/assertionErrorMessage.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/each.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/each.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/each.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/each.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/errorOnPrivate.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/errorOnPrivate.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/errorOnPrivate.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/errorOnPrivate.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/expectationResultFactory.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/expectationResultFactory.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/expectationResultFactory.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/expectationResultFactory.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/index.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/index.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/index.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/index.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/isError.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/isError.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/isError.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/isError.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/CallTracker.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/CallTracker.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/CallTracker.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/CallTracker.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/Env.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/Env.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/Env.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/Env.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/JsApiReporter.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/JsApiReporter.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/JsApiReporter.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/JsApiReporter.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/ReportDispatcher.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/ReportDispatcher.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/ReportDispatcher.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/ReportDispatcher.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/Spec.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/Spec.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/Spec.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/Spec.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/SpyStrategy.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/SpyStrategy.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/SpyStrategy.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/SpyStrategy.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/Suite.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/Suite.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/Suite.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/Suite.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/Timer.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/Timer.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/Timer.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/Timer.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/createSpy.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/createSpy.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/createSpy.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/createSpy.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/jasmineLight.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/jasmineLight.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/jasmineLight.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/jasmineLight.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmine/spyRegistry.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/spyRegistry.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmine/spyRegistry.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmine/spyRegistry.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/jasmineAsyncInstall.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmineAsyncInstall.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/jasmineAsyncInstall.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jasmineAsyncInstall.d.ts
diff --git a/node_modules/jest-circus/build/ts3.4/legacy-code-todo-rewrite/jestExpect.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jestExpect.d.ts
similarity index 100%
rename from node_modules/jest-circus/build/ts3.4/legacy-code-todo-rewrite/jestExpect.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/jestExpect.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/pTimeout.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/pTimeout.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/pTimeout.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/pTimeout.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/queueRunner.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/queueRunner.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/queueRunner.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/queueRunner.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/reporter.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/reporter.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/reporter.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/reporter.d.ts
diff --git a/node_modules/jest-jasmine2/build/ts3.4/setup_jest_globals.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/setup_jest_globals.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/setup_jest_globals.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/setup_jest_globals.d.ts
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/treeProcessor.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/treeProcessor.d.ts
new file mode 100644
index 000000000..87b7a469c
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/treeProcessor.d.ts
@@ -0,0 +1,26 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import Suite from './jasmine/Suite';
+declare type Options = {
+    nodeComplete: (suite: TreeNode) => void;
+    nodeStart: (suite: TreeNode) => void;
+    queueRunnerFactory: any;
+    runnableIds: Array<string>;
+    tree: TreeNode;
+};
+export declare type TreeNode = {
+    afterAllFns: Array<any>;
+    beforeAllFns: Array<any>;
+    disabled?: boolean;
+    execute: (onComplete: () => void, enabled: boolean) => void;
+    id: string;
+    onException: (error: Error) => void;
+    sharedUserContext: () => any;
+    children?: Array<TreeNode>;
+} & Pick<Suite, 'getResult' | 'parentSuite' | 'result' | 'markedPending'>;
+export default function treeProcessor(options: Options): void;
+export {};
diff --git a/node_modules/jest-jasmine2/build/ts3.4/types.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/types.d.ts
similarity index 100%
rename from node_modules/jest-jasmine2/build/ts3.4/types.d.ts
rename to node_modules/@jest/core/node_modules/jest-jasmine2/build/ts3.4/types.d.ts
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/types.d.ts b/node_modules/@jest/core/node_modules/jest-jasmine2/build/types.d.ts
new file mode 100644
index 000000000..f1b050897
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/types.d.ts
@@ -0,0 +1,72 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type { AssertionError } from 'assert';
+import type { Config } from '@jest/types';
+import expect = require('expect');
+import type { default as Spec, SpecResult } from './jasmine/Spec';
+import type JsApiReporter from './jasmine/JsApiReporter';
+import type Timer from './jasmine/Timer';
+import type Env from './jasmine/Env';
+import type createSpy from './jasmine/createSpy';
+import type ReportDispatcher from './jasmine/ReportDispatcher';
+import type SpyRegistry from './jasmine/spyRegistry';
+import type { default as Suite, SuiteResult } from './jasmine/Suite';
+import type SpyStrategy from './jasmine/SpyStrategy';
+import type CallTracker from './jasmine/CallTracker';
+export interface AssertionErrorWithStack extends AssertionError {
+    stack: string;
+}
+export declare type SyncExpectationResult = {
+    pass: boolean;
+    message: () => string;
+};
+export declare type AsyncExpectationResult = Promise<SyncExpectationResult>;
+export declare type ExpectationResult = SyncExpectationResult | AsyncExpectationResult;
+export declare type RawMatcherFn = (expected: any, actual: any, options?: any) => ExpectationResult;
+export declare type RunDetails = {
+    totalSpecsDefined?: number;
+    failedExpectations?: SuiteResult['failedExpectations'];
+};
+export declare type Reporter = {
+    jasmineDone: (runDetails: RunDetails) => void;
+    jasmineStarted: (runDetails: RunDetails) => void;
+    specDone: (result: SpecResult) => void;
+    specStarted: (spec: SpecResult) => void;
+    suiteDone: (result: SuiteResult) => void;
+    suiteStarted: (result: SuiteResult) => void;
+};
+export interface Spy extends Record<string, any> {
+    (this: Record<string, unknown>, ...args: Array<any>): unknown;
+    and: SpyStrategy;
+    calls: CallTracker;
+    restoreObjectToOriginalState?: () => void;
+}
+export declare type Jasmine = {
+    _DEFAULT_TIMEOUT_INTERVAL: number;
+    DEFAULT_TIMEOUT_INTERVAL: number;
+    currentEnv_: ReturnType<typeof Env>['prototype'];
+    getEnv: (options?: object) => ReturnType<typeof Env>['prototype'];
+    createSpy: typeof createSpy;
+    Env: ReturnType<typeof Env>;
+    JsApiReporter: typeof JsApiReporter;
+    ReportDispatcher: typeof ReportDispatcher;
+    Spec: typeof Spec;
+    SpyRegistry: typeof SpyRegistry;
+    Suite: typeof Suite;
+    Timer: typeof Timer;
+    version: string;
+    testPath: Config.Path;
+    addMatchers: Function;
+} & typeof expect & NodeJS.Global;
+declare global {
+    module NodeJS {
+        interface Global {
+            expect: typeof expect;
+        }
+    }
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/build/types.js b/node_modules/@jest/core/node_modules/jest-jasmine2/build/types.js
new file mode 100644
index 000000000..d852d2412
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/build/types.js
@@ -0,0 +1,7 @@
+'use strict';
+
+var _expect = _interopRequireDefault(require('expect'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
diff --git a/node_modules/@jest/core/node_modules/jest-jasmine2/package.json b/node_modules/@jest/core/node_modules/jest-jasmine2/package.json
new file mode 100644
index 000000000..eeda3e76e
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-jasmine2/package.json
@@ -0,0 +1,83 @@
+{
+  "_args": [
+    [
+      "jest-jasmine2@25.5.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-jasmine2@25.5.4",
+  "_id": "jest-jasmine2@25.5.4",
+  "_inBundle": false,
+  "_integrity": "sha512-9acbWEfbmS8UpdcfqnDO+uBUgKa/9hcRh983IHdM+pKmJPL77G0sWAAK0V0kr5LK3a8cSBfkFSoncXwQlRZfkQ==",
+  "_location": "/@jest/core/jest-jasmine2",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-jasmine2@25.5.4",
+    "name": "jest-jasmine2",
+    "escapedName": "jest-jasmine2",
+    "rawSpec": "25.5.4",
+    "saveSpec": null,
+    "fetchSpec": "25.5.4"
+  },
+  "_requiredBy": [
+    "/@jest/core/jest-config",
+    "/@jest/core/jest-runner"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-jasmine2/-/jest-jasmine2-25.5.4.tgz",
+  "_spec": "25.5.4",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@babel/traverse": "^7.1.0",
+    "@jest/environment": "^25.5.0",
+    "@jest/source-map": "^25.5.0",
+    "@jest/test-result": "^25.5.0",
+    "@jest/types": "^25.5.0",
+    "chalk": "^3.0.0",
+    "co": "^4.6.0",
+    "expect": "^25.5.0",
+    "is-generator-fn": "^2.0.0",
+    "jest-each": "^25.5.0",
+    "jest-matcher-utils": "^25.5.0",
+    "jest-message-util": "^25.5.0",
+    "jest-runtime": "^25.5.4",
+    "jest-snapshot": "^25.5.1",
+    "jest-util": "^25.5.0",
+    "pretty-format": "^25.5.0",
+    "throat": "^5.0.0"
+  },
+  "devDependencies": {
+    "@types/babel__traverse": "^7.0.4",
+    "@types/co": "^4.6.2"
+  },
+  "engines": {
+    "node": ">= 8.3"
+  },
+  "gitHead": "389d13724bbf6bb64dcde9700a6ecea3333942db",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-jasmine2",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-jasmine2"
+  },
+  "types": "build/index.d.ts",
+  "typesVersions": {
+    "<3.8": {
+      "build/*": [
+        "build/ts3.4/*"
+      ]
+    }
+  },
+  "version": "25.5.4"
+}
diff --git a/node_modules/@jest/core/node_modules/jest-runner/LICENSE b/node_modules/@jest/core/node_modules/jest-runner/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/index.d.ts b/node_modules/@jest/core/node_modules/jest-runner/build/index.d.ts
new file mode 100644
index 000000000..c71e8fbe7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/index.d.ts
@@ -0,0 +1,27 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import type { OnTestFailure as JestOnTestFailure, OnTestStart as JestOnTestStart, OnTestSuccess as JestOnTestSuccess, Test as JestTest, TestRunnerContext as JestTestRunnerContext, TestRunnerOptions as JestTestRunnerOptions, TestWatcher as JestTestWatcher } from './types';
+declare namespace TestRunner {
+    type Test = JestTest;
+    type OnTestFailure = JestOnTestFailure;
+    type OnTestStart = JestOnTestStart;
+    type OnTestSuccess = JestOnTestSuccess;
+    type TestWatcher = JestTestWatcher;
+    type TestRunnerContext = JestTestRunnerContext;
+    type TestRunnerOptions = JestTestRunnerOptions;
+}
+declare class TestRunner {
+    private _globalConfig;
+    private _context;
+    readonly isSerial?: boolean;
+    constructor(globalConfig: Config.GlobalConfig, context?: JestTestRunnerContext);
+    runTests(tests: Array<JestTest>, watcher: JestTestWatcher, onStart: JestOnTestStart, onResult: JestOnTestSuccess, onFailure: JestOnTestFailure, options: JestTestRunnerOptions): Promise<void>;
+    private _createInBandTestRun;
+    private _createParallelTestRun;
+}
+export = TestRunner;
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/index.js b/node_modules/@jest/core/node_modules/jest-runner/build/index.js
new file mode 100644
index 000000000..cc6e9181e
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/index.js
@@ -0,0 +1,223 @@
+'use strict';
+
+function _exit() {
+  const data = _interopRequireDefault(require('exit'));
+
+  _exit = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _throat() {
+  const data = _interopRequireDefault(require('throat'));
+
+  _throat = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestWorker() {
+  const data = _interopRequireDefault(require('jest-worker'));
+
+  _jestWorker = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _runTest = _interopRequireDefault(require('./runTest'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+const TEST_WORKER_PATH = require.resolve('./testWorker');
+
+/* eslint-disable-next-line no-redeclare */
+class TestRunner {
+  constructor(globalConfig, context) {
+    _defineProperty(this, '_globalConfig', void 0);
+
+    _defineProperty(this, '_context', void 0);
+
+    _defineProperty(this, 'isSerial', void 0);
+
+    this._globalConfig = globalConfig;
+    this._context = context || {};
+  }
+
+  async runTests(tests, watcher, onStart, onResult, onFailure, options) {
+    return await (options.serial
+      ? this._createInBandTestRun(tests, watcher, onStart, onResult, onFailure)
+      : this._createParallelTestRun(
+          tests,
+          watcher,
+          onStart,
+          onResult,
+          onFailure
+        ));
+  }
+
+  async _createInBandTestRun(tests, watcher, onStart, onResult, onFailure) {
+    process.env.JEST_WORKER_ID = '1';
+    const mutex = (0, _throat().default)(1);
+    return tests.reduce(
+      (promise, test) =>
+        mutex(() =>
+          promise
+            .then(async () => {
+              if (watcher.isInterrupted()) {
+                throw new CancelRun();
+              }
+
+              await onStart(test);
+              return (0, _runTest.default)(
+                test.path,
+                this._globalConfig,
+                test.context.config,
+                test.context.resolver,
+                this._context
+              );
+            })
+            .then(result => onResult(test, result))
+            .catch(err => onFailure(test, err))
+        ),
+      Promise.resolve()
+    );
+  }
+
+  async _createParallelTestRun(tests, watcher, onStart, onResult, onFailure) {
+    const resolvers = new Map();
+
+    for (const test of tests) {
+      if (!resolvers.has(test.context.config.name)) {
+        resolvers.set(test.context.config.name, {
+          config: test.context.config,
+          serializableModuleMap: test.context.moduleMap.toJSON()
+        });
+      }
+    }
+
+    const worker = new (_jestWorker().default)(TEST_WORKER_PATH, {
+      exposedMethods: ['worker'],
+      forkOptions: {
+        stdio: 'pipe'
+      },
+      maxRetries: 3,
+      numWorkers: this._globalConfig.maxWorkers,
+      setupArgs: [
+        {
+          serializableResolvers: Array.from(resolvers.values())
+        }
+      ]
+    });
+    if (worker.getStdout()) worker.getStdout().pipe(process.stdout);
+    if (worker.getStderr()) worker.getStderr().pipe(process.stderr);
+    const mutex = (0, _throat().default)(this._globalConfig.maxWorkers); // Send test suites to workers continuously instead of all at once to track
+    // the start time of individual tests.
+
+    const runTestInWorker = test =>
+      mutex(async () => {
+        if (watcher.isInterrupted()) {
+          return Promise.reject();
+        }
+
+        await onStart(test);
+        return worker.worker({
+          config: test.context.config,
+          context: {
+            ...this._context,
+            changedFiles:
+              this._context.changedFiles &&
+              Array.from(this._context.changedFiles),
+            sourcesRelatedToTestsInChangedFiles:
+              this._context.sourcesRelatedToTestsInChangedFiles &&
+              Array.from(this._context.sourcesRelatedToTestsInChangedFiles)
+          },
+          globalConfig: this._globalConfig,
+          path: test.path
+        });
+      });
+
+    const onError = async (err, test) => {
+      await onFailure(test, err);
+
+      if (err.type === 'ProcessTerminatedError') {
+        console.error(
+          'A worker process has quit unexpectedly! ' +
+            'Most likely this is an initialization error.'
+        );
+        (0, _exit().default)(1);
+      }
+    };
+
+    const onInterrupt = new Promise((_, reject) => {
+      watcher.on('change', state => {
+        if (state.interrupted) {
+          reject(new CancelRun());
+        }
+      });
+    });
+    const runAllTests = Promise.all(
+      tests.map(test =>
+        runTestInWorker(test)
+          .then(testResult => onResult(test, testResult))
+          .catch(error => onError(error, test))
+      )
+    );
+
+    const cleanup = async () => {
+      const {forceExited} = await worker.end();
+
+      if (forceExited) {
+        console.error(
+          _chalk().default.yellow(
+            'A worker process has failed to exit gracefully and has been force exited. ' +
+              'This is likely caused by tests leaking due to improper teardown. ' +
+              'Try running with --runInBand --detectOpenHandles to find leaks.'
+          )
+        );
+      }
+    };
+
+    return Promise.race([runAllTests, onInterrupt]).then(cleanup, cleanup);
+  }
+}
+
+class CancelRun extends Error {
+  constructor(message) {
+    super(message);
+    this.name = 'CancelRun';
+  }
+}
+
+module.exports = TestRunner;
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/runTest.d.ts b/node_modules/@jest/core/node_modules/jest-runner/build/runTest.d.ts
new file mode 100644
index 000000000..fcc242c73
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/runTest.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Config } from '@jest/types';
+import type { TestResult } from '@jest/test-result';
+import Resolver = require('jest-resolve');
+import type { TestRunnerContext } from './types';
+export default function runTest(path: Config.Path, globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, resolver: Resolver, context?: TestRunnerContext): Promise<TestResult>;
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/runTest.js b/node_modules/@jest/core/node_modules/jest-runner/build/runTest.js
new file mode 100644
index 000000000..edd174b78
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/runTest.js
@@ -0,0 +1,483 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = runTest;
+
+function _vm() {
+  const data = require('vm');
+
+  _vm = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _console() {
+  const data = require('@jest/console');
+
+  _console = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestRuntime() {
+  const data = _interopRequireDefault(require('jest-runtime'));
+
+  _jestRuntime = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestUtil() {
+  const data = require('jest-util');
+
+  _jestUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestLeakDetector() {
+  const data = _interopRequireDefault(require('jest-leak-detector'));
+
+  _jestLeakDetector = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestResolve() {
+  const data = _interopRequireDefault(require('jest-resolve'));
+
+  _jestResolve = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestConfig() {
+  const data = require('jest-config');
+
+  _jestConfig = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function docblock() {
+  const data = _interopRequireWildcard(require('jest-docblock'));
+
+  docblock = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestMessageUtil() {
+  const data = require('jest-message-util');
+
+  _jestMessageUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _sourceMapSupport() {
+  const data = _interopRequireDefault(require('source-map-support'));
+
+  _sourceMapSupport = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+function freezeConsole(testConsole, config) {
+  // @ts-ignore: `_log` is `private` - we should figure out some proper API here
+  testConsole._log = function fakeConsolePush(_type, message) {
+    const error = new (_jestUtil().ErrorWithStack)(
+      `${_chalk().default.red(
+        `${_chalk().default.bold(
+          'Cannot log after tests are done.'
+        )} Did you forget to wait for something async in your test?`
+      )}\nAttempted to log "${message}".`,
+      fakeConsolePush
+    );
+    const formattedError = (0, _jestMessageUtil().formatExecError)(
+      error,
+      config,
+      {
+        noStackTrace: false
+      },
+      undefined,
+      true
+    );
+    process.stderr.write('\n' + formattedError + '\n'); // TODO: set exit code in Jest 25
+    // process.exitCode = 1;
+  };
+} // Keeping the core of "runTest" as a separate function (as "runTestInternal")
+// is key to be able to detect memory leaks. Since all variables are local to
+// the function, when "runTestInternal" finishes its execution, they can all be
+// freed, UNLESS something else is leaking them (and that's why we can detect
+// the leak!).
+//
+// If we had all the code in a single function, we should manually nullify all
+// references to verify if there is a leak, which is not maintainable and error
+// prone. That's why "runTestInternal" CANNOT be inlined inside "runTest".
+
+async function runTestInternal(path, globalConfig, config, resolver, context) {
+  const testSource = fs().readFileSync(path, 'utf8');
+  const docblockPragmas = docblock().parse(docblock().extract(testSource));
+  const customEnvironment = docblockPragmas['jest-environment'];
+  let testEnvironment = config.testEnvironment;
+
+  if (customEnvironment) {
+    if (Array.isArray(customEnvironment)) {
+      throw new Error(
+        `You can only define a single test environment through docblocks, got "${customEnvironment.join(
+          ', '
+        )}"`
+      );
+    }
+
+    testEnvironment = (0, _jestConfig().getTestEnvironment)({
+      ...config,
+      testEnvironment: customEnvironment
+    });
+  }
+
+  const TestEnvironment = (0, _jestUtil().interopRequireDefault)(
+    require(testEnvironment)
+  ).default;
+  const testFramework =
+    process.env.JEST_CIRCUS === '1'
+      ? require('jest-circus/runner') // eslint-disable-line import/no-extraneous-dependencies
+      : require(config.testRunner);
+  const Runtime = config.moduleLoader
+    ? require(config.moduleLoader)
+    : require('jest-runtime');
+  const consoleOut = globalConfig.useStderr ? process.stderr : process.stdout;
+
+  const consoleFormatter = (type, message) =>
+    (0, _console().getConsoleOutput)(
+      config.cwd,
+      !!globalConfig.verbose, // 4 = the console call is buried 4 stack frames deep
+      _console().BufferedConsole.write([], type, message, 4),
+      config
+    );
+
+  let testConsole;
+
+  if (globalConfig.silent) {
+    testConsole = new (_console().NullConsole)(
+      consoleOut,
+      consoleOut,
+      consoleFormatter
+    );
+  } else if (globalConfig.verbose) {
+    testConsole = new (_console().CustomConsole)(
+      consoleOut,
+      consoleOut,
+      consoleFormatter
+    );
+  } else {
+    testConsole = new (_console().BufferedConsole)();
+  }
+
+  const environment = new TestEnvironment(config, {
+    console: testConsole,
+    docblockPragmas,
+    testPath: path
+  });
+  const leakDetector = config.detectLeaks
+    ? new (_jestLeakDetector().default)(environment)
+    : null;
+  const cacheFS = {
+    [path]: testSource
+  };
+  (0, _jestUtil().setGlobal)(environment.global, 'console', testConsole);
+  const runtime = new Runtime(config, environment, resolver, cacheFS, {
+    changedFiles:
+      context === null || context === void 0 ? void 0 : context.changedFiles,
+    collectCoverage: globalConfig.collectCoverage,
+    collectCoverageFrom: globalConfig.collectCoverageFrom,
+    collectCoverageOnlyFrom: globalConfig.collectCoverageOnlyFrom,
+    coverageProvider: globalConfig.coverageProvider,
+    sourcesRelatedToTestsInChangedFiles:
+      context === null || context === void 0
+        ? void 0
+        : context.sourcesRelatedToTestsInChangedFiles
+  });
+  const start = Date.now();
+
+  for (const path of config.setupFiles) {
+    var _runtime$unstable_sho;
+
+    // TODO: remove ? in Jest 26
+    const esm =
+      (_runtime$unstable_sho = runtime.unstable_shouldLoadAsEsm) === null ||
+      _runtime$unstable_sho === void 0
+        ? void 0
+        : _runtime$unstable_sho.call(runtime, path);
+
+    if (esm) {
+      await runtime.unstable_importModule(path);
+    } else {
+      runtime.requireModule(path);
+    }
+  }
+
+  const sourcemapOptions = {
+    environment: 'node',
+    handleUncaughtExceptions: false,
+    retrieveSourceMap: source => {
+      const sourceMaps = runtime.getSourceMaps();
+      const sourceMapSource = sourceMaps && sourceMaps[source];
+
+      if (sourceMapSource) {
+        try {
+          return {
+            map: JSON.parse(fs().readFileSync(sourceMapSource, 'utf8')),
+            url: source
+          };
+        } catch (e) {}
+      }
+
+      return null;
+    }
+  }; // For tests
+
+  runtime
+    .requireInternalModule(
+      require.resolve('source-map-support'),
+      'source-map-support'
+    )
+    .install(sourcemapOptions); // For runtime errors
+
+  _sourceMapSupport().default.install(sourcemapOptions);
+
+  if (
+    environment.global &&
+    environment.global.process &&
+    environment.global.process.exit
+  ) {
+    const realExit = environment.global.process.exit;
+
+    environment.global.process.exit = function exit(...args) {
+      const error = new (_jestUtil().ErrorWithStack)(
+        `process.exit called with "${args.join(', ')}"`,
+        exit
+      );
+      const formattedError = (0, _jestMessageUtil().formatExecError)(
+        error,
+        config,
+        {
+          noStackTrace: false
+        },
+        undefined,
+        true
+      );
+      process.stderr.write(formattedError);
+      return realExit(...args);
+    };
+  } // if we don't have `getVmContext` on the env,or `compileFunction` available skip coverage
+
+  const collectV8Coverage =
+    globalConfig.coverageProvider === 'v8' &&
+    typeof environment.getVmContext === 'function' &&
+    typeof _vm().compileFunction === 'function';
+
+  try {
+    await environment.setup();
+    let result;
+
+    try {
+      if (collectV8Coverage) {
+        await runtime.collectV8Coverage();
+      }
+
+      result = await testFramework(
+        globalConfig,
+        config,
+        environment,
+        runtime,
+        path
+      );
+    } catch (err) {
+      // Access stack before uninstalling sourcemaps
+      err.stack;
+      throw err;
+    } finally {
+      if (collectV8Coverage) {
+        await runtime.stopCollectingV8Coverage();
+      }
+    }
+
+    freezeConsole(testConsole, config);
+    const testCount =
+      result.numPassingTests +
+      result.numFailingTests +
+      result.numPendingTests +
+      result.numTodoTests;
+    result.perfStats = {
+      end: Date.now(),
+      start
+    };
+    result.testFilePath = path;
+    result.console = testConsole.getBuffer();
+    result.skipped = testCount === result.numPendingTests;
+    result.displayName = config.displayName;
+    const coverage = runtime.getAllCoverageInfoCopy();
+
+    if (coverage) {
+      const coverageKeys = Object.keys(coverage);
+
+      if (coverageKeys.length) {
+        result.coverage = coverage;
+      }
+    }
+
+    if (collectV8Coverage) {
+      const v8Coverage = runtime.getAllV8CoverageInfoCopy();
+
+      if (v8Coverage && v8Coverage.length > 0) {
+        result.v8Coverage = v8Coverage;
+      }
+    }
+
+    if (globalConfig.logHeapUsage) {
+      if (global.gc) {
+        global.gc();
+      }
+
+      result.memoryUsage = process.memoryUsage().heapUsed;
+    } // Delay the resolution to allow log messages to be output.
+
+    return new Promise(resolve => {
+      setImmediate(() =>
+        resolve({
+          leakDetector,
+          result
+        })
+      );
+    });
+  } finally {
+    var _runtime$teardown;
+
+    await environment.teardown(); // TODO: this function might be missing, remove ? in Jest 26
+
+    (_runtime$teardown = runtime.teardown) === null ||
+    _runtime$teardown === void 0
+      ? void 0
+      : _runtime$teardown.call(runtime);
+
+    _sourceMapSupport().default.resetRetrieveHandlers();
+  }
+}
+
+async function runTest(path, globalConfig, config, resolver, context) {
+  const {leakDetector, result} = await runTestInternal(
+    path,
+    globalConfig,
+    config,
+    resolver,
+    context
+  );
+
+  if (leakDetector) {
+    // We wanna allow a tiny but time to pass to allow last-minute cleanup
+    await new Promise(resolve => setTimeout(resolve, 100)); // Resolve leak detector, outside the "runTestInternal" closure.
+
+    result.leaks = await leakDetector.isLeaking();
+  } else {
+    result.leaks = false;
+  }
+
+  return result;
+}
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/testWorker.d.ts b/node_modules/@jest/core/node_modules/jest-runner/build/testWorker.d.ts
new file mode 100644
index 000000000..9b8142324
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/testWorker.d.ts
@@ -0,0 +1,26 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Config } from '@jest/types';
+import type { TestResult } from '@jest/test-result';
+import HasteMap = require('jest-haste-map');
+import type { TestRunnerSerializedContext } from './types';
+export declare type SerializableResolver = {
+    config: Config.ProjectConfig;
+    serializableModuleMap: HasteMap.SerializableModuleMap;
+};
+declare type WorkerData = {
+    config: Config.ProjectConfig;
+    globalConfig: Config.GlobalConfig;
+    path: Config.Path;
+    context?: TestRunnerSerializedContext;
+};
+export declare function setup(setupData: {
+    serializableResolvers: Array<SerializableResolver>;
+}): void;
+export declare function worker({ config, globalConfig, path, context, }: WorkerData): Promise<TestResult>;
+export {};
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/testWorker.js b/node_modules/@jest/core/node_modules/jest-runner/build/testWorker.js
new file mode 100644
index 000000000..e78c06892
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/testWorker.js
@@ -0,0 +1,145 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.setup = setup;
+exports.worker = worker;
+
+function _jestHasteMap() {
+  const data = _interopRequireDefault(require('jest-haste-map'));
+
+  _jestHasteMap = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _exit() {
+  const data = _interopRequireDefault(require('exit'));
+
+  _exit = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestMessageUtil() {
+  const data = require('jest-message-util');
+
+  _jestMessageUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestRuntime() {
+  const data = _interopRequireDefault(require('jest-runtime'));
+
+  _jestRuntime = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestResolve() {
+  const data = _interopRequireDefault(require('jest-resolve'));
+
+  _jestResolve = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _runTest = _interopRequireDefault(require('./runTest'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+// Make sure uncaught errors are logged before we exit.
+process.on('uncaughtException', err => {
+  console.error(err.stack);
+  (0, _exit().default)(1);
+});
+
+const formatError = error => {
+  if (typeof error === 'string') {
+    const {message, stack} = (0, _jestMessageUtil().separateMessageFromStack)(
+      error
+    );
+    return {
+      message,
+      stack,
+      type: 'Error'
+    };
+  }
+
+  return {
+    code: error.code || undefined,
+    message: error.message,
+    stack: error.stack,
+    type: 'Error'
+  };
+};
+
+const resolvers = new Map();
+
+const getResolver = config => {
+  const resolver = resolvers.get(config.name);
+
+  if (!resolver) {
+    throw new Error('Cannot find resolver for: ' + config.name);
+  }
+
+  return resolver;
+};
+
+function setup(setupData) {
+  // Module maps that will be needed for the test runs are passed.
+  for (const {
+    config,
+    serializableModuleMap
+  } of setupData.serializableResolvers) {
+    const moduleMap = _jestHasteMap().default.ModuleMap.fromJSON(
+      serializableModuleMap
+    );
+
+    resolvers.set(
+      config.name,
+      _jestRuntime().default.createResolver(config, moduleMap)
+    );
+  }
+}
+
+async function worker({config, globalConfig, path, context}) {
+  try {
+    return await (0, _runTest.default)(
+      path,
+      globalConfig,
+      config,
+      getResolver(config),
+      context && {
+        ...context,
+        changedFiles: context.changedFiles && new Set(context.changedFiles),
+        sourcesRelatedToTestsInChangedFiles:
+          context.sourcesRelatedToTestsInChangedFiles &&
+          new Set(context.sourcesRelatedToTestsInChangedFiles)
+      }
+    );
+  } catch (error) {
+    throw formatError(error);
+  }
+}
diff --git a/node_modules/jest-runner/build/ts3.4/index.d.ts b/node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/index.d.ts
similarity index 100%
rename from node_modules/jest-runner/build/ts3.4/index.d.ts
rename to node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/index.d.ts
diff --git a/node_modules/jest-runner/build/ts3.4/runTest.d.ts b/node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/runTest.d.ts
similarity index 100%
rename from node_modules/jest-runner/build/ts3.4/runTest.d.ts
rename to node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/runTest.d.ts
diff --git a/node_modules/jest-runner/build/ts3.4/testWorker.d.ts b/node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/testWorker.d.ts
similarity index 100%
rename from node_modules/jest-runner/build/ts3.4/testWorker.d.ts
rename to node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/testWorker.d.ts
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/types.d.ts b/node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/types.d.ts
new file mode 100644
index 000000000..5c909b2e6
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/ts3.4/types.d.ts
@@ -0,0 +1,53 @@
+/// <reference types="node" />
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import { EventEmitter } from 'events';
+import { Config } from '@jest/types';
+import { SerializableError, TestResult } from '@jest/test-result';
+import { JestEnvironment } from '@jest/environment';
+import { FS as HasteFS, ModuleMap } from 'jest-haste-map';
+import HasteResolver = require('jest-resolve');
+import Runtime = require('jest-runtime');
+export declare type ErrorWithCode = Error & {
+    code?: string;
+};
+export declare type Test = {
+    context: Context;
+    duration?: number;
+    path: Config.Path;
+};
+export declare type Context = {
+    config: Config.ProjectConfig;
+    hasteFS: HasteFS;
+    moduleMap: ModuleMap;
+    resolver: HasteResolver;
+};
+export declare type OnTestStart = (test: Test) => Promise<void>;
+export declare type OnTestFailure = (test: Test, serializableError: SerializableError) => Promise<void>;
+export declare type OnTestSuccess = (test: Test, testResult: TestResult) => Promise<void>;
+export declare type TestFramework = (globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, environment: JestEnvironment, runtime: Runtime, testPath: string) => Promise<TestResult>;
+export declare type TestRunnerOptions = {
+    serial: boolean;
+};
+export declare type TestRunnerContext = {
+    changedFiles?: Set<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>;
+};
+export declare type TestRunnerSerializedContext = {
+    changedFiles?: Array<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Array<Config.Path>;
+};
+export declare type WatcherState = {
+    interrupted: boolean;
+};
+export interface TestWatcher extends EventEmitter {
+    state: WatcherState;
+    setState(state: WatcherState): void;
+    isInterrupted(): boolean;
+    isWatchMode(): boolean;
+}
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/types.d.ts b/node_modules/@jest/core/node_modules/jest-runner/build/types.d.ts
new file mode 100644
index 000000000..dcd557926
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/types.d.ts
@@ -0,0 +1,52 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type { EventEmitter } from 'events';
+import type { Config } from '@jest/types';
+import type { SerializableError, TestResult } from '@jest/test-result';
+import type { JestEnvironment } from '@jest/environment';
+import type { FS as HasteFS, ModuleMap } from 'jest-haste-map';
+import HasteResolver = require('jest-resolve');
+import Runtime = require('jest-runtime');
+export declare type ErrorWithCode = Error & {
+    code?: string;
+};
+export declare type Test = {
+    context: Context;
+    duration?: number;
+    path: Config.Path;
+};
+export declare type Context = {
+    config: Config.ProjectConfig;
+    hasteFS: HasteFS;
+    moduleMap: ModuleMap;
+    resolver: HasteResolver;
+};
+export declare type OnTestStart = (test: Test) => Promise<void>;
+export declare type OnTestFailure = (test: Test, serializableError: SerializableError) => Promise<void>;
+export declare type OnTestSuccess = (test: Test, testResult: TestResult) => Promise<void>;
+export declare type TestFramework = (globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, environment: JestEnvironment, runtime: Runtime, testPath: string) => Promise<TestResult>;
+export declare type TestRunnerOptions = {
+    serial: boolean;
+};
+export declare type TestRunnerContext = {
+    changedFiles?: Set<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>;
+};
+export declare type TestRunnerSerializedContext = {
+    changedFiles?: Array<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Array<Config.Path>;
+};
+export declare type WatcherState = {
+    interrupted: boolean;
+};
+export interface TestWatcher extends EventEmitter {
+    state: WatcherState;
+    setState(state: WatcherState): void;
+    isInterrupted(): boolean;
+    isWatchMode(): boolean;
+}
diff --git a/node_modules/@jest/core/node_modules/jest-runner/build/types.js b/node_modules/@jest/core/node_modules/jest-runner/build/types.js
new file mode 100644
index 000000000..a5deb51a9
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/build/types.js
@@ -0,0 +1,25 @@
+'use strict';
+
+function _jestResolve() {
+  const data = _interopRequireDefault(require('jest-resolve'));
+
+  _jestResolve = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestRuntime() {
+  const data = _interopRequireDefault(require('jest-runtime'));
+
+  _jestRuntime = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
diff --git a/node_modules/@jest/core/node_modules/jest-runner/package.json b/node_modules/@jest/core/node_modules/jest-runner/package.json
new file mode 100644
index 000000000..8418c5846
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runner/package.json
@@ -0,0 +1,88 @@
+{
+  "_args": [
+    [
+      "jest-runner@25.5.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-runner@25.5.4",
+  "_id": "jest-runner@25.5.4",
+  "_inBundle": false,
+  "_integrity": "sha512-V/2R7fKZo6blP8E9BL9vJ8aTU4TH2beuqGNxHbxi6t14XzTb+x90B3FRgdvuHm41GY8ch4xxvf0ATH4hdpjTqg==",
+  "_location": "/@jest/core/jest-runner",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-runner@25.5.4",
+    "name": "jest-runner",
+    "escapedName": "jest-runner",
+    "rawSpec": "25.5.4",
+    "saveSpec": null,
+    "fetchSpec": "25.5.4"
+  },
+  "_requiredBy": [
+    "/@jest/core",
+    "/@jest/core/@jest/test-sequencer"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-runner/-/jest-runner-25.5.4.tgz",
+  "_spec": "25.5.4",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/console": "^25.5.0",
+    "@jest/environment": "^25.5.0",
+    "@jest/test-result": "^25.5.0",
+    "@jest/types": "^25.5.0",
+    "chalk": "^3.0.0",
+    "exit": "^0.1.2",
+    "graceful-fs": "^4.2.4",
+    "jest-config": "^25.5.4",
+    "jest-docblock": "^25.3.0",
+    "jest-haste-map": "^25.5.1",
+    "jest-jasmine2": "^25.5.4",
+    "jest-leak-detector": "^25.5.0",
+    "jest-message-util": "^25.5.0",
+    "jest-resolve": "^25.5.1",
+    "jest-runtime": "^25.5.4",
+    "jest-util": "^25.5.0",
+    "jest-worker": "^25.5.0",
+    "source-map-support": "^0.5.6",
+    "throat": "^5.0.0"
+  },
+  "devDependencies": {
+    "@types/exit": "^0.1.30",
+    "@types/graceful-fs": "^4.1.2",
+    "@types/node": "*",
+    "@types/source-map-support": "^0.5.0",
+    "jest-circus": "^25.5.4"
+  },
+  "engines": {
+    "node": ">= 8.3"
+  },
+  "gitHead": "389d13724bbf6bb64dcde9700a6ecea3333942db",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-runner",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-runner"
+  },
+  "types": "build/index.d.ts",
+  "typesVersions": {
+    "<3.8": {
+      "build/*": [
+        "build/ts3.4/*"
+      ]
+    }
+  },
+  "version": "25.5.4"
+}
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/LICENSE b/node_modules/@jest/core/node_modules/jest-runtime/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/bin/jest-runtime.js b/node_modules/@jest/core/node_modules/jest-runtime/bin/jest-runtime.js
new file mode 100755
index 000000000..6a510e724
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/bin/jest-runtime.js
@@ -0,0 +1,13 @@
+#!/usr/bin/env node
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+if (process.env.NODE_ENV == null) {
+  process.env.NODE_ENV = 'test';
+}
+
+require('../build/cli').run();
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/cli/args.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/cli/args.d.ts
new file mode 100644
index 000000000..191ccbe42
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/cli/args.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Options } from 'yargs';
+export declare const usage = "Usage: $0 [--config=<pathToConfigFile>] <file>";
+export declare const options: Record<'cache' | 'config' | 'debug' | 'version' | 'watchman', Options>;
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/cli/args.js b/node_modules/@jest/core/node_modules/jest-runtime/build/cli/args.js
new file mode 100644
index 000000000..9419c6099
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/cli/args.js
@@ -0,0 +1,46 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.options = exports.usage = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const usage = 'Usage: $0 [--config=<pathToConfigFile>] <file>';
+exports.usage = usage;
+const options = {
+  cache: {
+    default: true,
+    description:
+      'Whether to use the preprocessor cache. Disable ' +
+      'the cache using --no-cache.',
+    type: 'boolean'
+  },
+  config: {
+    alias: 'c',
+    description: 'The path to a Jest config file.',
+    type: 'string'
+  },
+  debug: {
+    description: 'Print debugging info about your jest config.',
+    type: 'boolean'
+  },
+  version: {
+    alias: 'v',
+    description: 'Print the version and exit',
+    type: 'boolean'
+  },
+  watchman: {
+    default: true,
+    description:
+      'Whether to use watchman for file crawling. Disable using ' +
+      '--no-watchman.',
+    type: 'boolean'
+  }
+};
+exports.options = options;
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/cli/index.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/cli/index.d.ts
new file mode 100644
index 000000000..7f3973e60
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/cli/index.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+export declare function run(cliArgv?: Config.Argv, cliInfo?: Array<string>): Promise<void>;
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/cli/index.js b/node_modules/@jest/core/node_modules/jest-runtime/build/cli/index.js
new file mode 100644
index 000000000..36507d53f
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/cli/index.js
@@ -0,0 +1,268 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.run = run;
+
+function _os() {
+  const data = require('os');
+
+  _os = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _realpathNative() {
+  const data = require('realpath-native');
+
+  _realpathNative = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _yargs() {
+  const data = _interopRequireDefault(require('yargs'));
+
+  _yargs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _console() {
+  const data = require('@jest/console');
+
+  _console = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestUtil() {
+  const data = require('jest-util');
+
+  _jestUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestValidate() {
+  const data = require('jest-validate');
+
+  _jestValidate = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestConfig() {
+  const data = require('jest-config');
+
+  _jestConfig = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _version() {
+  const data = require('../version');
+
+  _version = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var args = _interopRequireWildcard(require('./args'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+async function run(cliArgv, cliInfo) {
+  let argv;
+
+  if (cliArgv) {
+    argv = cliArgv;
+  } else {
+    argv = _yargs()
+      .default.usage(args.usage)
+      .help(false)
+      .version(false)
+      .options(args.options).argv;
+    (0, _jestValidate().validateCLIOptions)(argv, {
+      ...args.options,
+      deprecationEntries: _jestConfig().deprecationEntries
+    });
+  }
+
+  if (argv.help) {
+    _yargs().default.showHelp();
+
+    process.on('exit', () => (process.exitCode = 1));
+    return;
+  }
+
+  if (argv.version) {
+    console.log(`v${_version().VERSION}\n`);
+    return;
+  }
+
+  if (!argv._.length) {
+    console.log('Please provide a path to a script. (See --help for details)');
+    process.on('exit', () => (process.exitCode = 1));
+    return;
+  }
+
+  const root = (0, _realpathNative().sync)(process.cwd());
+  const filePath = path().resolve(root, argv._[0]);
+
+  if (argv.debug) {
+    const info = cliInfo ? ', ' + cliInfo.join(', ') : '';
+    console.log(`Using Jest Runtime v${_version().VERSION}${info}`);
+  }
+
+  const options = await (0, _jestConfig().readConfig)(argv, root);
+  const globalConfig = options.globalConfig; // Always disable automocking in scripts.
+
+  const config = {...options.projectConfig, automock: false}; // Break circular dependency
+
+  const Runtime = require('..');
+
+  try {
+    var _runtime$unstable_sho2;
+
+    const hasteMap = await Runtime.createContext(config, {
+      maxWorkers: Math.max((0, _os().cpus)().length - 1, 1),
+      watchman: globalConfig.watchman
+    });
+
+    const Environment = require(config.testEnvironment);
+
+    const environment = new Environment(config);
+    (0, _jestUtil().setGlobal)(
+      environment.global,
+      'console',
+      new (_console().CustomConsole)(process.stdout, process.stderr)
+    );
+    (0, _jestUtil().setGlobal)(environment.global, 'jestProjectConfig', config);
+    (0, _jestUtil().setGlobal)(
+      environment.global,
+      'jestGlobalConfig',
+      globalConfig
+    );
+    const runtime = new Runtime(config, environment, hasteMap.resolver);
+
+    for (const path of config.setupFiles) {
+      var _runtime$unstable_sho;
+
+      // TODO: remove ? in Jest 26
+      const esm =
+        (_runtime$unstable_sho = runtime.unstable_shouldLoadAsEsm) === null ||
+        _runtime$unstable_sho === void 0
+          ? void 0
+          : _runtime$unstable_sho.call(runtime, path);
+
+      if (esm) {
+        await runtime.unstable_importModule(path);
+      } else {
+        runtime.requireModule(path);
+      }
+    } // TODO: remove ? in Jest 26
+
+    const esm =
+      (_runtime$unstable_sho2 = runtime.unstable_shouldLoadAsEsm) === null ||
+      _runtime$unstable_sho2 === void 0
+        ? void 0
+        : _runtime$unstable_sho2.call(runtime, filePath);
+
+    if (esm) {
+      await runtime.unstable_importModule(filePath);
+    } else {
+      runtime.requireModule(filePath);
+    }
+  } catch (e) {
+    console.error(_chalk().default.red(e.stack || e));
+    process.on('exit', () => (process.exitCode = 1));
+  }
+}
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/helpers.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/helpers.d.ts
new file mode 100644
index 000000000..8529b38f8
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/helpers.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare const findSiblingsWithFileExtension: (moduleFileExtensions: string[], from: string, moduleName: string) => string;
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/helpers.js b/node_modules/@jest/core/node_modules/jest-runtime/build/helpers.js
new file mode 100644
index 000000000..a7ef6c618
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/helpers.js
@@ -0,0 +1,131 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.findSiblingsWithFileExtension = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _slash() {
+  const data = _interopRequireDefault(require('slash'));
+
+  _slash = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _glob() {
+  const data = _interopRequireDefault(require('glob'));
+
+  _glob = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const findSiblingsWithFileExtension = (
+  moduleFileExtensions,
+  from,
+  moduleName
+) => {
+  if (!path().isAbsolute(moduleName) && path().extname(moduleName) === '') {
+    const dirname = path().dirname(from);
+    const pathToModule = path().resolve(dirname, moduleName);
+
+    try {
+      const slashedDirname = (0, _slash().default)(dirname);
+
+      const matches = _glob()
+        .default.sync(`${pathToModule}.*`)
+        .map(match => (0, _slash().default)(match))
+        .map(match => {
+          const relativePath = path().posix.relative(slashedDirname, match);
+          return path().posix.dirname(match) === slashedDirname
+            ? `./${relativePath}`
+            : relativePath;
+        })
+        .map(match => `\t'${match}'`)
+        .join('\n');
+
+      if (matches) {
+        const foundMessage = `\n\nHowever, Jest was able to find:\n${matches}`;
+        const mappedModuleFileExtensions = moduleFileExtensions
+          .map(ext => `'${ext}'`)
+          .join(', ');
+        return (
+          foundMessage +
+          "\n\nYou might want to include a file extension in your import, or update your 'moduleFileExtensions', which is currently " +
+          `[${mappedModuleFileExtensions}].\n\nSee https://jestjs.io/docs/en/configuration#modulefileextensions-arraystring`
+        );
+      }
+    } catch (_unused) {}
+  }
+
+  return '';
+};
+
+exports.findSiblingsWithFileExtension = findSiblingsWithFileExtension;
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/index.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/index.d.ts
new file mode 100644
index 000000000..6c0c8f866
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/index.d.ts
@@ -0,0 +1,124 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import type { JestEnvironment } from '@jest/environment';
+import type { SourceMapRegistry } from '@jest/source-map';
+import { ShouldInstrumentOptions, shouldInstrument } from '@jest/transform';
+import type { V8CoverageResult } from '@jest/test-result';
+import { options as cliOptions } from './cli/args';
+import type { Context as JestContext } from './types';
+import HasteMap = require('jest-haste-map');
+import Resolver = require('jest-resolve');
+declare type HasteMapOptions = {
+    console?: Console;
+    maxWorkers: number;
+    resetCache: boolean;
+    watch?: boolean;
+    watchman: boolean;
+};
+declare type InternalModuleOptions = {
+    isInternalModule: boolean;
+    supportsDynamicImport: boolean;
+    supportsStaticESM: boolean;
+};
+declare namespace Runtime {
+    type Context = JestContext;
+    type RuntimeType = Runtime;
+}
+declare class Runtime {
+    private _cacheFS;
+    private _config;
+    private _coverageOptions;
+    private _currentlyExecutingModulePath;
+    private _environment;
+    private _explicitShouldMock;
+    private _internalModuleRegistry;
+    private _isCurrentlyExecutingManualMock;
+    private _mockFactories;
+    private _mockMetaDataCache;
+    private _mockRegistry;
+    private _isolatedMockRegistry;
+    private _moduleMocker;
+    private _isolatedModuleRegistry;
+    private _moduleRegistry;
+    private _esmoduleRegistry;
+    private _resolver;
+    private _shouldAutoMock;
+    private _shouldMockModuleCache;
+    private _shouldUnmockTransitiveDependenciesCache;
+    private _sourceMapRegistry;
+    private _scriptTransformer;
+    private _fileTransforms;
+    private _v8CoverageInstrumenter;
+    private _v8CoverageResult;
+    private _transitiveShouldMock;
+    private _unmockList;
+    private _virtualMocks;
+    private _moduleImplementation?;
+    private jestObjectCaches;
+    constructor(config: Config.ProjectConfig, environment: JestEnvironment, resolver: Resolver, cacheFS?: Record<string, string>, coverageOptions?: ShouldInstrumentOptions);
+    static shouldInstrument: typeof shouldInstrument;
+    static createContext(config: Config.ProjectConfig, options: {
+        console?: Console;
+        maxWorkers: number;
+        watch?: boolean;
+        watchman: boolean;
+    }): Promise<JestContext>;
+    static createHasteMap(config: Config.ProjectConfig, options?: HasteMapOptions): HasteMap;
+    static createResolver(config: Config.ProjectConfig, moduleMap: HasteMap.ModuleMap): Resolver;
+    static runCLI(args?: Config.Argv, info?: Array<string>): Promise<void>;
+    static getCLIOptions(): typeof cliOptions;
+    unstable_shouldLoadAsEsm: typeof import("jest-resolve/build/shouldLoadAsEsm").default;
+    private loadEsmModule;
+    private linkModules;
+    unstable_importModule(from: Config.Path, moduleName?: string): Promise<void>;
+    private loadCjsAsEsm;
+    requireModule<T = unknown>(from: Config.Path, moduleName?: string, options?: InternalModuleOptions, isRequireActual?: boolean | null): T;
+    requireInternalModule<T = unknown>(from: Config.Path, to?: string): T;
+    requireActual<T = unknown>(from: Config.Path, moduleName: string): T;
+    requireMock<T = unknown>(from: Config.Path, moduleName: string): T;
+    private _loadModule;
+    private _getFullTransformationOptions;
+    requireModuleOrMock<T = unknown>(from: Config.Path, moduleName: string): T;
+    isolateModules(fn: () => void): void;
+    resetModules(): void;
+    collectV8Coverage(): Promise<void>;
+    stopCollectingV8Coverage(): Promise<void>;
+    getAllCoverageInfoCopy(): JestEnvironment['global']['__coverage__'];
+    getAllV8CoverageInfoCopy(): V8CoverageResult;
+    getSourceMapInfo(_coveredFiles: Set<string>): Record<string, string>;
+    getSourceMaps(): SourceMapRegistry;
+    setMock(from: string, moduleName: string, mockFactory: () => unknown, options?: {
+        virtual?: boolean;
+    }): void;
+    restoreAllMocks(): void;
+    resetAllMocks(): void;
+    clearAllMocks(): void;
+    teardown(): void;
+    private _resolveModule;
+    private _requireResolve;
+    private _requireResolvePaths;
+    private _execModule;
+    private transformFile;
+    private createScriptFromCode;
+    private _requireCoreModule;
+    private _importCoreModule;
+    private _getMockedNativeModule;
+    private _generateMock;
+    private _shouldMock;
+    private _createRequireImplementation;
+    private _createJestObjectFor;
+    private _logFormattedReferenceError;
+    private wrapCodeInModuleWrapper;
+    private constructInjectedModuleParameters;
+    private handleExecutionError;
+    private getGlobalsForCjs;
+    private getGlobalsForEsm;
+    private getGlobalsFromEnvironment;
+    private readFile;
+}
+export = Runtime;
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/index.js b/node_modules/@jest/core/node_modules/jest-runtime/build/index.js
new file mode 100644
index 000000000..35d64c03a
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/index.js
@@ -0,0 +1,1859 @@
+'use strict';
+
+function _url() {
+  const data = require('url');
+
+  _url = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _vm() {
+  const data = require('vm');
+
+  _vm = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function nativeModule() {
+  const data = _interopRequireWildcard(require('module'));
+
+  nativeModule = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestMessageUtil() {
+  const data = require('jest-message-util');
+
+  _jestMessageUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestUtil() {
+  const data = require('jest-util');
+
+  _jestUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestRegexUtil() {
+  const data = require('jest-regex-util');
+
+  _jestRegexUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _transform() {
+  const data = require('@jest/transform');
+
+  _transform = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _collectV8Coverage() {
+  const data = require('collect-v8-coverage');
+
+  _collectV8Coverage = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _cli = require('./cli');
+
+var _args = require('./cli/args');
+
+var _helpers = require('./helpers');
+
+function _jestMock() {
+  const data = _interopRequireDefault(require('jest-mock'));
+
+  _jestMock = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestHasteMap() {
+  const data = _interopRequireDefault(require('jest-haste-map'));
+
+  _jestHasteMap = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestResolve() {
+  const data = _interopRequireDefault(require('jest-resolve'));
+
+  _jestResolve = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestSnapshot() {
+  const data = _interopRequireDefault(require('jest-snapshot'));
+
+  _jestSnapshot = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _stripBom() {
+  const data = _interopRequireDefault(require('strip-bom'));
+
+  _stripBom = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _Object$fromEntries;
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+const defaultTransformOptions = {
+  isInternalModule: false,
+  supportsDynamicImport: false,
+  supportsStaticESM: false
+};
+const fromEntries =
+  (_Object$fromEntries = Object.fromEntries) !== null &&
+  _Object$fromEntries !== void 0
+    ? _Object$fromEntries
+    : function fromEntries(iterable) {
+        return [...iterable].reduce((obj, [key, val]) => {
+          obj[key] = val;
+          return obj;
+        }, {});
+      };
+const testTimeoutSymbol = Symbol.for('TEST_TIMEOUT_SYMBOL');
+const retryTimesSymbol = Symbol.for('RETRY_TIMES');
+const NODE_MODULES = path().sep + 'node_modules' + path().sep;
+
+const getModuleNameMapper = config => {
+  if (
+    Array.isArray(config.moduleNameMapper) &&
+    config.moduleNameMapper.length
+  ) {
+    return config.moduleNameMapper.map(([regex, moduleName]) => ({
+      moduleName,
+      regex: new RegExp(regex)
+    }));
+  }
+
+  return null;
+};
+
+const unmockRegExpCache = new WeakMap();
+const EVAL_RESULT_VARIABLE = 'Object.<anonymous>';
+const runtimeSupportsVmModules = typeof _vm().SyntheticModule === 'function';
+/* eslint-disable-next-line no-redeclare */
+
+class Runtime {
+  constructor(config, environment, resolver, cacheFS = {}, coverageOptions) {
+    _defineProperty(this, '_cacheFS', void 0);
+
+    _defineProperty(this, '_config', void 0);
+
+    _defineProperty(this, '_coverageOptions', void 0);
+
+    _defineProperty(this, '_currentlyExecutingModulePath', void 0);
+
+    _defineProperty(this, '_environment', void 0);
+
+    _defineProperty(this, '_explicitShouldMock', void 0);
+
+    _defineProperty(this, '_internalModuleRegistry', void 0);
+
+    _defineProperty(this, '_isCurrentlyExecutingManualMock', void 0);
+
+    _defineProperty(this, '_mockFactories', void 0);
+
+    _defineProperty(this, '_mockMetaDataCache', void 0);
+
+    _defineProperty(this, '_mockRegistry', void 0);
+
+    _defineProperty(this, '_isolatedMockRegistry', void 0);
+
+    _defineProperty(this, '_moduleMocker', void 0);
+
+    _defineProperty(this, '_isolatedModuleRegistry', void 0);
+
+    _defineProperty(this, '_moduleRegistry', void 0);
+
+    _defineProperty(this, '_esmoduleRegistry', void 0);
+
+    _defineProperty(this, '_resolver', void 0);
+
+    _defineProperty(this, '_shouldAutoMock', void 0);
+
+    _defineProperty(this, '_shouldMockModuleCache', void 0);
+
+    _defineProperty(this, '_shouldUnmockTransitiveDependenciesCache', void 0);
+
+    _defineProperty(this, '_sourceMapRegistry', void 0);
+
+    _defineProperty(this, '_scriptTransformer', void 0);
+
+    _defineProperty(this, '_fileTransforms', void 0);
+
+    _defineProperty(this, '_v8CoverageInstrumenter', void 0);
+
+    _defineProperty(this, '_v8CoverageResult', void 0);
+
+    _defineProperty(this, '_transitiveShouldMock', void 0);
+
+    _defineProperty(this, '_unmockList', void 0);
+
+    _defineProperty(this, '_virtualMocks', void 0);
+
+    _defineProperty(this, '_moduleImplementation', void 0);
+
+    _defineProperty(this, 'jestObjectCaches', void 0);
+
+    _defineProperty(
+      this,
+      'unstable_shouldLoadAsEsm',
+      _jestResolve().default.unstable_shouldLoadAsEsm
+    );
+
+    this._cacheFS = new Map(Object.entries(cacheFS));
+    this._config = config;
+    this._coverageOptions = coverageOptions || {
+      changedFiles: undefined,
+      collectCoverage: false,
+      collectCoverageFrom: [],
+      collectCoverageOnlyFrom: undefined,
+      coverageProvider: 'babel',
+      sourcesRelatedToTestsInChangedFiles: undefined
+    };
+    this._currentlyExecutingModulePath = '';
+    this._environment = environment;
+    this._explicitShouldMock = new Map();
+    this._internalModuleRegistry = new Map();
+    this._isCurrentlyExecutingManualMock = null;
+    this._mockFactories = new Map();
+    this._mockRegistry = new Map(); // during setup, this cannot be null (and it's fine to explode if it is)
+
+    this._moduleMocker = this._environment.moduleMocker;
+    this._isolatedModuleRegistry = null;
+    this._isolatedMockRegistry = null;
+    this._moduleRegistry = new Map();
+    this._esmoduleRegistry = new Map();
+    this._resolver = resolver;
+    this._scriptTransformer = new (_transform().ScriptTransformer)(config);
+    this._shouldAutoMock = config.automock;
+    this._sourceMapRegistry = new Map();
+    this._fileTransforms = new Map();
+    this._virtualMocks = new Map();
+    this.jestObjectCaches = new Map();
+    this._mockMetaDataCache = new Map();
+    this._shouldMockModuleCache = new Map();
+    this._shouldUnmockTransitiveDependenciesCache = new Map();
+    this._transitiveShouldMock = new Map();
+    this._unmockList = unmockRegExpCache.get(config);
+
+    if (!this._unmockList && config.unmockedModulePathPatterns) {
+      this._unmockList = new RegExp(
+        config.unmockedModulePathPatterns.join('|')
+      );
+      unmockRegExpCache.set(config, this._unmockList);
+    }
+
+    if (config.automock) {
+      const virtualMocks = fromEntries(this._virtualMocks);
+      config.setupFiles.forEach(filePath => {
+        if (filePath && filePath.includes(NODE_MODULES)) {
+          const moduleID = this._resolver.getModuleID(virtualMocks, filePath);
+
+          this._transitiveShouldMock.set(moduleID, false);
+        }
+      });
+    }
+
+    this.resetModules();
+  }
+
+  static createContext(config, options) {
+    (0, _jestUtil().createDirectory)(config.cacheDirectory);
+    const instance = Runtime.createHasteMap(config, {
+      console: options.console,
+      maxWorkers: options.maxWorkers,
+      resetCache: !config.cache,
+      watch: options.watch,
+      watchman: options.watchman
+    });
+    return instance.build().then(
+      hasteMap => ({
+        config,
+        hasteFS: hasteMap.hasteFS,
+        moduleMap: hasteMap.moduleMap,
+        resolver: Runtime.createResolver(config, hasteMap.moduleMap)
+      }),
+      error => {
+        throw error;
+      }
+    );
+  }
+
+  static createHasteMap(config, options) {
+    const ignorePatternParts = [
+      ...config.modulePathIgnorePatterns,
+      ...(options && options.watch ? config.watchPathIgnorePatterns : []),
+      config.cacheDirectory.startsWith(config.rootDir + path().sep) &&
+        config.cacheDirectory
+    ].filter(Boolean);
+    const ignorePattern =
+      ignorePatternParts.length > 0
+        ? new RegExp(ignorePatternParts.join('|'))
+        : undefined;
+    return new (_jestHasteMap().default)({
+      cacheDirectory: config.cacheDirectory,
+      computeSha1: config.haste.computeSha1,
+      console: options && options.console,
+      dependencyExtractor: config.dependencyExtractor,
+      extensions: [_jestSnapshot().default.EXTENSION].concat(
+        config.moduleFileExtensions
+      ),
+      hasteImplModulePath: config.haste.hasteImplModulePath,
+      ignorePattern,
+      maxWorkers: (options && options.maxWorkers) || 1,
+      mocksPattern: (0, _jestRegexUtil().escapePathForRegex)(
+        path().sep + '__mocks__' + path().sep
+      ),
+      name: config.name,
+      platforms: config.haste.platforms || ['ios', 'android'],
+      providesModuleNodeModules: config.haste.providesModuleNodeModules,
+      resetCache: options && options.resetCache,
+      retainAllFiles: false,
+      rootDir: config.rootDir,
+      roots: config.roots,
+      throwOnModuleCollision: config.haste.throwOnModuleCollision,
+      useWatchman: options && options.watchman,
+      watch: options && options.watch
+    });
+  }
+
+  static createResolver(config, moduleMap) {
+    return new (_jestResolve().default)(moduleMap, {
+      browser: config.browser,
+      defaultPlatform: config.haste.defaultPlatform,
+      extensions: config.moduleFileExtensions.map(extension => '.' + extension),
+      hasCoreModules: true,
+      moduleDirectories: config.moduleDirectories,
+      moduleNameMapper: getModuleNameMapper(config),
+      modulePaths: config.modulePaths,
+      platforms: config.haste.platforms,
+      resolver: config.resolver,
+      rootDir: config.rootDir
+    });
+  }
+
+  static runCLI(args, info) {
+    return (0, _cli.run)(args, info);
+  }
+
+  static getCLIOptions() {
+    return _args.options;
+  } // unstable as it should be replaced by https://github.com/nodejs/modules/issues/393, and we don't want people to use it
+
+  async loadEsmModule(modulePath, query = '') {
+    const cacheKey = modulePath + query;
+
+    if (!this._esmoduleRegistry.has(cacheKey)) {
+      invariant(
+        typeof this._environment.getVmContext === 'function',
+        'ES Modules are only supported if your test environment has the `getVmContext` function'
+      );
+
+      const context = this._environment.getVmContext();
+
+      invariant(context);
+
+      if (this._resolver.isCoreModule(modulePath)) {
+        const core = await this._importCoreModule(modulePath, context);
+
+        this._esmoduleRegistry.set(cacheKey, core);
+
+        return core;
+      }
+
+      const transformedCode = this.transformFile(modulePath, {
+        isInternalModule: false,
+        supportsDynamicImport: true,
+        supportsStaticESM: true
+      });
+      const module = new (_vm().SourceTextModule)(transformedCode, {
+        context,
+        identifier: modulePath,
+        importModuleDynamically: this.linkModules.bind(this),
+
+        initializeImportMeta(meta) {
+          meta.url = (0, _url().pathToFileURL)(modulePath).href;
+        }
+      });
+
+      this._esmoduleRegistry.set(
+        cacheKey, // we wanna put the linking promise in the cache so modules loaded in
+        // parallel can all await it. We then await it synchronously below, so
+        // we shouldn't get any unhandled rejections
+        module
+          .link(this.linkModules.bind(this))
+          .then(() => module.evaluate())
+          .then(() => module)
+      );
+    }
+
+    const module = this._esmoduleRegistry.get(cacheKey);
+
+    invariant(module);
+    return module;
+  }
+
+  linkModules(specifier, referencingModule) {
+    if (specifier === '@jest/globals') {
+      const fromCache = this._esmoduleRegistry.get('@jest/globals');
+
+      if (fromCache) {
+        return fromCache;
+      }
+
+      const globals = this.getGlobalsForEsm(
+        referencingModule.identifier,
+        referencingModule.context
+      );
+
+      this._esmoduleRegistry.set('@jest/globals', globals);
+
+      return globals;
+    }
+
+    const [path, query] = specifier.split('?');
+
+    const resolved = this._resolveModule(referencingModule.identifier, path);
+
+    if (
+      this._resolver.isCoreModule(resolved) ||
+      this.unstable_shouldLoadAsEsm(resolved)
+    ) {
+      return this.loadEsmModule(resolved, query);
+    }
+
+    return this.loadCjsAsEsm(
+      referencingModule.identifier,
+      resolved,
+      referencingModule.context
+    );
+  }
+
+  async unstable_importModule(from, moduleName) {
+    invariant(
+      runtimeSupportsVmModules,
+      'You need to run with a version of node that supports ES Modules in the VM API.'
+    );
+    const [path, query] = (moduleName !== null && moduleName !== void 0
+      ? moduleName
+      : ''
+    ).split('?');
+
+    const modulePath = this._resolveModule(from, path);
+
+    return this.loadEsmModule(modulePath, query);
+  }
+
+  async loadCjsAsEsm(from, modulePath, context) {
+    // CJS loaded via `import` should share cache with other CJS: https://github.com/nodejs/modules/issues/503
+    const cjs = this.requireModuleOrMock(from, modulePath);
+    const module = new (_vm().SyntheticModule)(
+      ['default'],
+      function () {
+        // @ts-ignore: TS doesn't know what `this` is
+        this.setExport('default', cjs);
+      },
+      {
+        context,
+        identifier: modulePath
+      }
+    );
+    await module.link(() => {
+      throw new Error('This should never happen');
+    });
+    await module.evaluate();
+    return module;
+  }
+
+  requireModule(from, moduleName, options, isRequireActual) {
+    const moduleID = this._resolver.getModuleID(
+      fromEntries(this._virtualMocks),
+      from,
+      moduleName
+    );
+
+    let modulePath; // Some old tests rely on this mocking behavior. Ideally we'll change this
+    // to be more explicit.
+
+    const moduleResource = moduleName && this._resolver.getModule(moduleName);
+
+    const manualMock =
+      moduleName && this._resolver.getMockModule(from, moduleName);
+
+    if (
+      !(options === null || options === void 0
+        ? void 0
+        : options.isInternalModule) &&
+      !isRequireActual &&
+      !moduleResource &&
+      manualMock &&
+      manualMock !== this._isCurrentlyExecutingManualMock &&
+      this._explicitShouldMock.get(moduleID) !== false
+    ) {
+      modulePath = manualMock;
+    }
+
+    if (moduleName && this._resolver.isCoreModule(moduleName)) {
+      return this._requireCoreModule(moduleName);
+    }
+
+    if (!modulePath) {
+      modulePath = this._resolveModule(from, moduleName);
+    }
+
+    let moduleRegistry;
+
+    if (
+      options === null || options === void 0 ? void 0 : options.isInternalModule
+    ) {
+      moduleRegistry = this._internalModuleRegistry;
+    } else {
+      if (
+        this._moduleRegistry.get(modulePath) ||
+        !this._isolatedModuleRegistry
+      ) {
+        moduleRegistry = this._moduleRegistry;
+      } else {
+        moduleRegistry = this._isolatedModuleRegistry;
+      }
+    }
+
+    const module = moduleRegistry.get(modulePath);
+
+    if (module) {
+      return module.exports;
+    } // We must register the pre-allocated module object first so that any
+    // circular dependencies that may arise while evaluating the module can
+    // be satisfied.
+
+    const localModule = {
+      children: [],
+      exports: {},
+      filename: modulePath,
+      id: modulePath,
+      loaded: false
+    };
+    moduleRegistry.set(modulePath, localModule);
+
+    this._loadModule(
+      localModule,
+      from,
+      moduleName,
+      modulePath,
+      options,
+      moduleRegistry
+    );
+
+    return localModule.exports;
+  }
+
+  requireInternalModule(from, to) {
+    return this.requireModule(from, to, {
+      isInternalModule: true,
+      supportsDynamicImport: false,
+      supportsStaticESM: false
+    });
+  }
+
+  requireActual(from, moduleName) {
+    return this.requireModule(from, moduleName, undefined, true);
+  }
+
+  requireMock(from, moduleName) {
+    const moduleID = this._resolver.getModuleID(
+      fromEntries(this._virtualMocks),
+      from,
+      moduleName
+    );
+
+    if (
+      this._isolatedMockRegistry &&
+      this._isolatedMockRegistry.get(moduleID)
+    ) {
+      return this._isolatedMockRegistry.get(moduleID);
+    } else if (this._mockRegistry.get(moduleID)) {
+      return this._mockRegistry.get(moduleID);
+    }
+
+    const mockRegistry = this._isolatedMockRegistry || this._mockRegistry;
+
+    if (this._mockFactories.has(moduleID)) {
+      // has check above makes this ok
+      const module = this._mockFactories.get(moduleID)();
+
+      mockRegistry.set(moduleID, module);
+      return module;
+    }
+
+    const manualMockOrStub = this._resolver.getMockModule(from, moduleName);
+
+    let modulePath;
+
+    if (manualMockOrStub) {
+      modulePath = this._resolveModule(from, manualMockOrStub);
+    } else {
+      modulePath = this._resolveModule(from, moduleName);
+    }
+
+    let isManualMock =
+      manualMockOrStub &&
+      !this._resolver.resolveStubModuleName(from, moduleName);
+
+    if (!isManualMock) {
+      // If the actual module file has a __mocks__ dir sitting immediately next
+      // to it, look to see if there is a manual mock for this file.
+      //
+      // subDir1/my_module.js
+      // subDir1/__mocks__/my_module.js
+      // subDir2/my_module.js
+      // subDir2/__mocks__/my_module.js
+      //
+      // Where some other module does a relative require into each of the
+      // respective subDir{1,2} directories and expects a manual mock
+      // corresponding to that particular my_module.js file.
+      const moduleDir = path().dirname(modulePath);
+      const moduleFileName = path().basename(modulePath);
+      const potentialManualMock = path().join(
+        moduleDir,
+        '__mocks__',
+        moduleFileName
+      );
+
+      if (fs().existsSync(potentialManualMock)) {
+        isManualMock = true;
+        modulePath = potentialManualMock;
+      }
+    }
+
+    if (isManualMock) {
+      const localModule = {
+        children: [],
+        exports: {},
+        filename: modulePath,
+        id: modulePath,
+        loaded: false
+      };
+
+      this._loadModule(
+        localModule,
+        from,
+        moduleName,
+        modulePath,
+        undefined,
+        mockRegistry
+      );
+
+      mockRegistry.set(moduleID, localModule.exports);
+    } else {
+      // Look for a real module to generate an automock from
+      mockRegistry.set(moduleID, this._generateMock(from, moduleName));
+    }
+
+    return mockRegistry.get(moduleID);
+  }
+
+  _loadModule(
+    localModule,
+    from,
+    moduleName,
+    modulePath,
+    options,
+    moduleRegistry
+  ) {
+    if (path().extname(modulePath) === '.json') {
+      const text = (0, _stripBom().default)(this.readFile(modulePath));
+
+      const transformedFile = this._scriptTransformer.transformJson(
+        modulePath,
+        this._getFullTransformationOptions(options),
+        text
+      );
+
+      localModule.exports = this._environment.global.JSON.parse(
+        transformedFile
+      );
+    } else if (path().extname(modulePath) === '.node') {
+      localModule.exports = require(modulePath);
+    } else {
+      // Only include the fromPath if a moduleName is given. Else treat as root.
+      const fromPath = moduleName ? from : null;
+
+      this._execModule(localModule, options, moduleRegistry, fromPath);
+    }
+
+    localModule.loaded = true;
+  }
+
+  _getFullTransformationOptions(options = defaultTransformOptions) {
+    return {...options, ...this._coverageOptions};
+  }
+
+  requireModuleOrMock(from, moduleName) {
+    // this module is unmockable
+    if (moduleName === '@jest/globals') {
+      // @ts-ignore: we don't care that it's not assignable to T
+      return this.getGlobalsForCjs(from);
+    }
+
+    try {
+      if (this._shouldMock(from, moduleName)) {
+        return this.requireMock(from, moduleName);
+      } else {
+        return this.requireModule(from, moduleName);
+      }
+    } catch (e) {
+      const moduleNotFound = _jestResolve().default.tryCastModuleNotFoundError(
+        e
+      );
+
+      if (moduleNotFound) {
+        if (
+          moduleNotFound.siblingWithSimilarExtensionFound === null ||
+          moduleNotFound.siblingWithSimilarExtensionFound === undefined
+        ) {
+          moduleNotFound.hint = (0, _helpers.findSiblingsWithFileExtension)(
+            this._config.moduleFileExtensions,
+            from,
+            moduleNotFound.moduleName || moduleName
+          );
+          moduleNotFound.siblingWithSimilarExtensionFound = Boolean(
+            moduleNotFound.hint
+          );
+        }
+
+        moduleNotFound.buildMessage(this._config.rootDir);
+        throw moduleNotFound;
+      }
+
+      throw e;
+    }
+  }
+
+  isolateModules(fn) {
+    if (this._isolatedModuleRegistry || this._isolatedMockRegistry) {
+      throw new Error(
+        'isolateModules cannot be nested inside another isolateModules.'
+      );
+    }
+
+    this._isolatedModuleRegistry = new Map();
+    this._isolatedMockRegistry = new Map();
+
+    try {
+      fn();
+    } finally {
+      var _this$_isolatedModule, _this$_isolatedMockRe;
+
+      // might be cleared within the callback
+      (_this$_isolatedModule = this._isolatedModuleRegistry) === null ||
+      _this$_isolatedModule === void 0
+        ? void 0
+        : _this$_isolatedModule.clear();
+      (_this$_isolatedMockRe = this._isolatedMockRegistry) === null ||
+      _this$_isolatedMockRe === void 0
+        ? void 0
+        : _this$_isolatedMockRe.clear();
+      this._isolatedModuleRegistry = null;
+      this._isolatedMockRegistry = null;
+    }
+  }
+
+  resetModules() {
+    var _this$_isolatedModule2, _this$_isolatedMockRe2;
+
+    (_this$_isolatedModule2 = this._isolatedModuleRegistry) === null ||
+    _this$_isolatedModule2 === void 0
+      ? void 0
+      : _this$_isolatedModule2.clear();
+    (_this$_isolatedMockRe2 = this._isolatedMockRegistry) === null ||
+    _this$_isolatedMockRe2 === void 0
+      ? void 0
+      : _this$_isolatedMockRe2.clear();
+    this._isolatedModuleRegistry = null;
+    this._isolatedMockRegistry = null;
+
+    this._mockRegistry.clear();
+
+    this._moduleRegistry.clear();
+
+    this._esmoduleRegistry.clear();
+
+    if (this._environment) {
+      if (this._environment.global) {
+        const envGlobal = this._environment.global;
+        Object.keys(envGlobal).forEach(key => {
+          const globalMock = envGlobal[key];
+
+          if (
+            ((typeof globalMock === 'object' && globalMock !== null) ||
+              typeof globalMock === 'function') &&
+            globalMock._isMockFunction === true
+          ) {
+            globalMock.mockClear();
+          }
+        });
+      }
+
+      if (this._environment.fakeTimers) {
+        this._environment.fakeTimers.clearAllTimers();
+      }
+    }
+  }
+
+  async collectV8Coverage() {
+    this._v8CoverageInstrumenter = new (_collectV8Coverage().CoverageInstrumenter)();
+    await this._v8CoverageInstrumenter.startInstrumenting();
+  }
+
+  async stopCollectingV8Coverage() {
+    if (!this._v8CoverageInstrumenter) {
+      throw new Error('You need to call `collectV8Coverage` first.');
+    }
+
+    this._v8CoverageResult = await this._v8CoverageInstrumenter.stopInstrumenting();
+  }
+
+  getAllCoverageInfoCopy() {
+    return (0, _jestUtil().deepCyclicCopy)(
+      this._environment.global.__coverage__
+    );
+  }
+
+  getAllV8CoverageInfoCopy() {
+    if (!this._v8CoverageResult) {
+      throw new Error('You need to `stopCollectingV8Coverage` first');
+    }
+
+    return this._v8CoverageResult
+      .filter(res => res.url.startsWith('file://'))
+      .map(res => ({...res, url: (0, _url().fileURLToPath)(res.url)}))
+      .filter(
+        (
+          res // TODO: will this work on windows? It might be better if `shouldInstrument` deals with it anyways
+        ) =>
+          res.url.startsWith(this._config.rootDir) &&
+          this._fileTransforms.has(res.url) &&
+          (0, _transform().shouldInstrument)(
+            res.url,
+            this._coverageOptions,
+            this._config
+          )
+      )
+      .map(result => {
+        const transformedFile = this._fileTransforms.get(result.url);
+
+        return {
+          codeTransformResult: transformedFile,
+          result
+        };
+      });
+  } // TODO - remove in Jest 26
+
+  getSourceMapInfo(_coveredFiles) {
+    return {};
+  }
+
+  getSourceMaps() {
+    return fromEntries(this._sourceMapRegistry);
+  }
+
+  setMock(from, moduleName, mockFactory, options) {
+    if (options === null || options === void 0 ? void 0 : options.virtual) {
+      const mockPath = this._resolver.getModulePath(from, moduleName);
+
+      this._virtualMocks.set(mockPath, true);
+    }
+
+    const moduleID = this._resolver.getModuleID(
+      fromEntries(this._virtualMocks),
+      from,
+      moduleName
+    );
+
+    this._explicitShouldMock.set(moduleID, true);
+
+    this._mockFactories.set(moduleID, mockFactory);
+  }
+
+  restoreAllMocks() {
+    this._moduleMocker.restoreAllMocks();
+  }
+
+  resetAllMocks() {
+    this._moduleMocker.resetAllMocks();
+  }
+
+  clearAllMocks() {
+    this._moduleMocker.clearAllMocks();
+  }
+
+  teardown() {
+    this.restoreAllMocks();
+    this.resetAllMocks();
+    this.resetModules();
+
+    this._internalModuleRegistry.clear();
+
+    this._mockFactories.clear();
+
+    this._mockMetaDataCache.clear();
+
+    this._shouldMockModuleCache.clear();
+
+    this._shouldUnmockTransitiveDependenciesCache.clear();
+
+    this._explicitShouldMock.clear();
+
+    this._transitiveShouldMock.clear();
+
+    this._virtualMocks.clear();
+
+    this._cacheFS.clear();
+
+    this._unmockList = undefined;
+
+    this._sourceMapRegistry.clear();
+
+    this._fileTransforms.clear();
+
+    this.jestObjectCaches.clear();
+    this._v8CoverageResult = [];
+    this._v8CoverageInstrumenter = undefined;
+    this._moduleImplementation = undefined;
+  }
+
+  _resolveModule(from, to) {
+    return to ? this._resolver.resolveModule(from, to) : from;
+  }
+
+  _requireResolve(from, moduleName, options = {}) {
+    if (moduleName == null) {
+      throw new Error(
+        'The first argument to require.resolve must be a string. Received null or undefined.'
+      );
+    }
+
+    const {paths} = options;
+
+    if (paths) {
+      for (const p of paths) {
+        const absolutePath = path().resolve(from, '..', p);
+
+        const module = this._resolver.resolveModuleFromDirIfExists(
+          absolutePath,
+          moduleName, // required to also resolve files without leading './' directly in the path
+          {
+            paths: [absolutePath]
+          }
+        );
+
+        if (module) {
+          return module;
+        }
+      }
+
+      throw new (_jestResolve().default.ModuleNotFoundError)(
+        `Cannot resolve module '${moduleName}' from paths ['${paths.join(
+          "', '"
+        )}'] from ${from}`
+      );
+    }
+
+    try {
+      return this._resolveModule(from, moduleName);
+    } catch (err) {
+      const module = this._resolver.getMockModule(from, moduleName);
+
+      if (module) {
+        return module;
+      } else {
+        throw err;
+      }
+    }
+  }
+
+  _requireResolvePaths(from, moduleName) {
+    if (moduleName == null) {
+      throw new Error(
+        'The first argument to require.resolve.paths must be a string. Received null or undefined.'
+      );
+    }
+
+    if (!moduleName.length) {
+      throw new Error(
+        'The first argument to require.resolve.paths must not be the empty string.'
+      );
+    }
+
+    if (moduleName[0] === '.') {
+      return [path().resolve(from, '..')];
+    }
+
+    if (this._resolver.isCoreModule(moduleName)) {
+      return null;
+    }
+
+    return this._resolver.getModulePaths(path().resolve(from, '..'));
+  }
+
+  _execModule(localModule, options, moduleRegistry, from) {
+    // If the environment was disposed, prevent this module from being executed.
+    if (!this._environment.global) {
+      return;
+    }
+
+    const filename = localModule.filename;
+    const lastExecutingModulePath = this._currentlyExecutingModulePath;
+    this._currentlyExecutingModulePath = filename;
+    const origCurrExecutingManualMock = this._isCurrentlyExecutingManualMock;
+    this._isCurrentlyExecutingManualMock = filename;
+    const dirname = path().dirname(filename);
+    localModule.children = [];
+    Object.defineProperty(localModule, 'parent', {
+      enumerable: true,
+
+      get() {
+        const key = from || '';
+        return moduleRegistry.get(key) || null;
+      }
+    });
+    localModule.paths = this._resolver.getModulePaths(dirname);
+    Object.defineProperty(localModule, 'require', {
+      value: this._createRequireImplementation(localModule, options)
+    });
+    const transformedCode = this.transformFile(filename, options);
+    let compiledFunction = null; // Use this if available instead of deprecated `JestEnvironment.runScript`
+
+    if (typeof this._environment.getVmContext === 'function') {
+      const vmContext = this._environment.getVmContext();
+
+      if (vmContext) {
+        if (typeof _vm().compileFunction === 'function') {
+          try {
+            compiledFunction = (0, _vm().compileFunction)(
+              transformedCode,
+              this.constructInjectedModuleParameters(),
+              {
+                filename,
+                parsingContext: vmContext
+              }
+            );
+          } catch (e) {
+            throw (0, _transform().handlePotentialSyntaxError)(e);
+          }
+        } else {
+          const script = this.createScriptFromCode(transformedCode, filename);
+          const runScript = script.runInContext(vmContext);
+
+          if (runScript === null) {
+            compiledFunction = null;
+          } else {
+            compiledFunction = runScript[EVAL_RESULT_VARIABLE];
+          }
+        }
+      }
+    } else {
+      const script = this.createScriptFromCode(transformedCode, filename);
+
+      const runScript = this._environment.runScript(script);
+
+      if (runScript === null) {
+        compiledFunction = null;
+      } else {
+        compiledFunction = runScript[EVAL_RESULT_VARIABLE];
+      }
+    }
+
+    if (compiledFunction === null) {
+      this._logFormattedReferenceError(
+        'You are trying to `import` a file after the Jest environment has been torn down.'
+      );
+
+      process.exitCode = 1;
+      return;
+    }
+
+    const jestObject = this._createJestObjectFor(filename);
+
+    this.jestObjectCaches.set(filename, jestObject);
+
+    try {
+      compiledFunction.call(
+        localModule.exports,
+        localModule, // module object
+        localModule.exports, // module exports
+        localModule.require, // require implementation
+        dirname, // __dirname
+        filename, // __filename
+        this._environment.global, // global object
+        jestObject, // jest object
+        ...this._config.extraGlobals.map(globalVariable => {
+          if (this._environment.global[globalVariable]) {
+            return this._environment.global[globalVariable];
+          }
+
+          throw new Error(
+            `You have requested '${globalVariable}' as a global variable, but it was not present. Please check your config or your global environment.`
+          );
+        })
+      );
+    } catch (error) {
+      this.handleExecutionError(error, localModule);
+    }
+
+    this._isCurrentlyExecutingManualMock = origCurrExecutingManualMock;
+    this._currentlyExecutingModulePath = lastExecutingModulePath;
+  }
+
+  transformFile(filename, options) {
+    const source = this.readFile(filename);
+
+    if (
+      options === null || options === void 0 ? void 0 : options.isInternalModule
+    ) {
+      return source;
+    }
+
+    const transformedFile = this._scriptTransformer.transform(
+      filename,
+      this._getFullTransformationOptions(options),
+      source
+    );
+
+    this._fileTransforms.set(filename, transformedFile);
+
+    if (transformedFile.sourceMapPath) {
+      this._sourceMapRegistry.set(filename, transformedFile.sourceMapPath);
+    }
+
+    return transformedFile.code;
+  }
+
+  createScriptFromCode(scriptSource, filename) {
+    try {
+      return new (_vm().Script)(this.wrapCodeInModuleWrapper(scriptSource), {
+        displayErrors: true,
+        filename: this._resolver.isCoreModule(filename)
+          ? `jest-nodejs-core-${filename}`
+          : filename
+      });
+    } catch (e) {
+      throw (0, _transform().handlePotentialSyntaxError)(e);
+    }
+  }
+
+  _requireCoreModule(moduleName) {
+    if (moduleName === 'process') {
+      return this._environment.global.process;
+    }
+
+    if (moduleName === 'module') {
+      return this._getMockedNativeModule();
+    }
+
+    return require(moduleName);
+  }
+
+  _importCoreModule(moduleName, context) {
+    const required = this._requireCoreModule(moduleName);
+
+    return new (_vm().SyntheticModule)(
+      ['default', ...Object.keys(required)],
+      function () {
+        // @ts-ignore: TS doesn't know what `this` is
+        this.setExport('default', required);
+        Object.entries(required).forEach(([key, value]) => {
+          // @ts-ignore: TS doesn't know what `this` is
+          this.setExport(key, value);
+        });
+      }, // should identifier be `node://${moduleName}`?
+      {
+        context,
+        identifier: moduleName
+      }
+    );
+  }
+
+  _getMockedNativeModule() {
+    if (this._moduleImplementation) {
+      return this._moduleImplementation;
+    }
+
+    const createRequire = modulePath => {
+      const filename =
+        typeof modulePath === 'string'
+          ? modulePath.startsWith('file:///')
+            ? (0, _url().fileURLToPath)(new (_url().URL)(modulePath))
+            : modulePath
+          : (0, _url().fileURLToPath)(modulePath);
+
+      if (!path().isAbsolute(filename)) {
+        const error = new TypeError(
+          `The argument 'filename' must be a file URL object, file URL string, or absolute path string. Received '${filename}'`
+        ); // @ts-ignore
+
+        error.code = 'ERR_INVALID_ARG_TYPE';
+        throw error;
+      }
+
+      return this._createRequireImplementation({
+        children: [],
+        exports: {},
+        filename,
+        id: filename,
+        loaded: false
+      });
+    }; // should we implement the class ourselves?
+
+    class Module extends nativeModule().Module {}
+
+    Object.entries(nativeModule().Module).forEach(([key, value]) => {
+      // @ts-ignore
+      Module[key] = value;
+    });
+    Module.Module = Module;
+
+    if ('createRequire' in nativeModule()) {
+      Module.createRequire = createRequire;
+    }
+
+    if ('createRequireFromPath' in nativeModule()) {
+      Module.createRequireFromPath = function createRequireFromPath(filename) {
+        if (typeof filename !== 'string') {
+          const error = new TypeError(
+            `The argument 'filename' must be string. Received '${filename}'.${
+              filename instanceof _url().URL
+                ? ' Use createRequire for URL filename.'
+                : ''
+            }`
+          ); // @ts-ignore
+
+          error.code = 'ERR_INVALID_ARG_TYPE';
+          throw error;
+        }
+
+        return createRequire(filename);
+      };
+    }
+
+    if ('syncBuiltinESMExports' in nativeModule()) {
+      Module.syncBuiltinESMExports = function syncBuiltinESMExports() {};
+    }
+
+    this._moduleImplementation = Module;
+    return Module;
+  }
+
+  _generateMock(from, moduleName) {
+    const modulePath =
+      this._resolver.resolveStubModuleName(from, moduleName) ||
+      this._resolveModule(from, moduleName);
+
+    if (!this._mockMetaDataCache.has(modulePath)) {
+      // This allows us to handle circular dependencies while generating an
+      // automock
+      this._mockMetaDataCache.set(
+        modulePath,
+        this._moduleMocker.getMetadata({}) || {}
+      ); // In order to avoid it being possible for automocking to potentially
+      // cause side-effects within the module environment, we need to execute
+      // the module in isolation. This could cause issues if the module being
+      // mocked has calls into side-effectful APIs on another module.
+
+      const origMockRegistry = this._mockRegistry;
+      const origModuleRegistry = this._moduleRegistry;
+      this._mockRegistry = new Map();
+      this._moduleRegistry = new Map();
+      const moduleExports = this.requireModule(from, moduleName); // Restore the "real" module/mock registries
+
+      this._mockRegistry = origMockRegistry;
+      this._moduleRegistry = origModuleRegistry;
+
+      const mockMetadata = this._moduleMocker.getMetadata(moduleExports);
+
+      if (mockMetadata == null) {
+        throw new Error(
+          `Failed to get mock metadata: ${modulePath}\n\n` +
+            `See: https://jestjs.io/docs/manual-mocks.html#content`
+        );
+      }
+
+      this._mockMetaDataCache.set(modulePath, mockMetadata);
+    }
+
+    return this._moduleMocker.generateFromMetadata(
+      // added above if missing
+      this._mockMetaDataCache.get(modulePath)
+    );
+  }
+
+  _shouldMock(from, moduleName) {
+    const explicitShouldMock = this._explicitShouldMock;
+
+    const moduleID = this._resolver.getModuleID(
+      fromEntries(this._virtualMocks),
+      from,
+      moduleName
+    );
+
+    const key = from + path().delimiter + moduleID;
+
+    if (explicitShouldMock.has(moduleID)) {
+      // guaranteed by `has` above
+      return explicitShouldMock.get(moduleID);
+    }
+
+    if (
+      !this._shouldAutoMock ||
+      this._resolver.isCoreModule(moduleName) ||
+      this._shouldUnmockTransitiveDependenciesCache.get(key)
+    ) {
+      return false;
+    }
+
+    if (this._shouldMockModuleCache.has(moduleID)) {
+      // guaranteed by `has` above
+      return this._shouldMockModuleCache.get(moduleID);
+    }
+
+    let modulePath;
+
+    try {
+      modulePath = this._resolveModule(from, moduleName);
+    } catch (e) {
+      const manualMock = this._resolver.getMockModule(from, moduleName);
+
+      if (manualMock) {
+        this._shouldMockModuleCache.set(moduleID, true);
+
+        return true;
+      }
+
+      throw e;
+    }
+
+    if (this._unmockList && this._unmockList.test(modulePath)) {
+      this._shouldMockModuleCache.set(moduleID, false);
+
+      return false;
+    } // transitive unmocking for package managers that store flat packages (npm3)
+
+    const currentModuleID = this._resolver.getModuleID(
+      fromEntries(this._virtualMocks),
+      from
+    );
+
+    if (
+      this._transitiveShouldMock.get(currentModuleID) === false ||
+      (from.includes(NODE_MODULES) &&
+        modulePath.includes(NODE_MODULES) &&
+        ((this._unmockList && this._unmockList.test(from)) ||
+          explicitShouldMock.get(currentModuleID) === false))
+    ) {
+      this._transitiveShouldMock.set(moduleID, false);
+
+      this._shouldUnmockTransitiveDependenciesCache.set(key, true);
+
+      return false;
+    }
+
+    this._shouldMockModuleCache.set(moduleID, true);
+
+    return true;
+  }
+
+  _createRequireImplementation(from, options) {
+    // TODO: somehow avoid having to type the arguments - they should come from `NodeRequire/LocalModuleRequire.resolve`
+    const resolve = (moduleName, options) =>
+      this._requireResolve(from.filename, moduleName, options);
+
+    resolve.paths = moduleName =>
+      this._requireResolvePaths(from.filename, moduleName);
+
+    const moduleRequire = (
+      options === null || options === void 0 ? void 0 : options.isInternalModule
+    )
+      ? moduleName => this.requireInternalModule(from.filename, moduleName)
+      : this.requireModuleOrMock.bind(this, from.filename);
+    moduleRequire.extensions = Object.create(null);
+    moduleRequire.requireActual = this.requireActual.bind(this, from.filename);
+    moduleRequire.requireMock = this.requireMock.bind(this, from.filename);
+    moduleRequire.resolve = resolve;
+
+    moduleRequire.cache = (() => {
+      // TODO: consider warning somehow that this does nothing. We should support deletions, anyways
+      const notPermittedMethod = () => true;
+
+      return new Proxy(Object.create(null), {
+        defineProperty: notPermittedMethod,
+        deleteProperty: notPermittedMethod,
+        get: (_target, key) =>
+          typeof key === 'string' ? this._moduleRegistry.get(key) : undefined,
+
+        getOwnPropertyDescriptor() {
+          return {
+            configurable: true,
+            enumerable: true
+          };
+        },
+
+        has: (_target, key) =>
+          typeof key === 'string' && this._moduleRegistry.has(key),
+        ownKeys: () => Array.from(this._moduleRegistry.keys()),
+        set: notPermittedMethod
+      });
+    })();
+
+    Object.defineProperty(moduleRequire, 'main', {
+      enumerable: true,
+
+      get() {
+        let mainModule = from.parent;
+
+        while (
+          mainModule &&
+          mainModule.parent &&
+          mainModule.id !== mainModule.parent.id
+        ) {
+          mainModule = mainModule.parent;
+        }
+
+        return mainModule;
+      }
+    });
+    return moduleRequire;
+  }
+
+  _createJestObjectFor(from) {
+    const disableAutomock = () => {
+      this._shouldAutoMock = false;
+      return jestObject;
+    };
+
+    const enableAutomock = () => {
+      this._shouldAutoMock = true;
+      return jestObject;
+    };
+
+    const unmock = moduleName => {
+      const moduleID = this._resolver.getModuleID(
+        fromEntries(this._virtualMocks),
+        from,
+        moduleName
+      );
+
+      this._explicitShouldMock.set(moduleID, false);
+
+      return jestObject;
+    };
+
+    const deepUnmock = moduleName => {
+      const moduleID = this._resolver.getModuleID(
+        fromEntries(this._virtualMocks),
+        from,
+        moduleName
+      );
+
+      this._explicitShouldMock.set(moduleID, false);
+
+      this._transitiveShouldMock.set(moduleID, false);
+
+      return jestObject;
+    };
+
+    const mock = (moduleName, mockFactory, options) => {
+      if (mockFactory !== undefined) {
+        return setMockFactory(moduleName, mockFactory, options);
+      }
+
+      const moduleID = this._resolver.getModuleID(
+        fromEntries(this._virtualMocks),
+        from,
+        moduleName
+      );
+
+      this._explicitShouldMock.set(moduleID, true);
+
+      return jestObject;
+    };
+
+    const setMockFactory = (moduleName, mockFactory, options) => {
+      this.setMock(from, moduleName, mockFactory, options);
+      return jestObject;
+    };
+
+    const clearAllMocks = () => {
+      this.clearAllMocks();
+      return jestObject;
+    };
+
+    const resetAllMocks = () => {
+      this.resetAllMocks();
+      return jestObject;
+    };
+
+    const restoreAllMocks = () => {
+      this.restoreAllMocks();
+      return jestObject;
+    };
+
+    const useFakeTimers = () => {
+      _getFakeTimers().useFakeTimers();
+
+      return jestObject;
+    };
+
+    const useRealTimers = () => {
+      _getFakeTimers().useRealTimers();
+
+      return jestObject;
+    };
+
+    const resetModules = () => {
+      this.resetModules();
+      return jestObject;
+    };
+
+    const isolateModules = fn => {
+      this.isolateModules(fn);
+      return jestObject;
+    };
+
+    const fn = this._moduleMocker.fn.bind(this._moduleMocker);
+
+    const spyOn = this._moduleMocker.spyOn.bind(this._moduleMocker);
+
+    const setTimeout = timeout => {
+      if (this._environment.global.jasmine) {
+        this._environment.global.jasmine._DEFAULT_TIMEOUT_INTERVAL = timeout;
+      } else {
+        // @ts-ignore: https://github.com/Microsoft/TypeScript/issues/24587
+        this._environment.global[testTimeoutSymbol] = timeout;
+      }
+
+      return jestObject;
+    };
+
+    const retryTimes = numTestRetries => {
+      // @ts-ignore: https://github.com/Microsoft/TypeScript/issues/24587
+      this._environment.global[retryTimesSymbol] = numTestRetries;
+      return jestObject;
+    };
+
+    const _getFakeTimers = () => {
+      if (!this._environment.fakeTimers) {
+        this._logFormattedReferenceError(
+          'You are trying to access a property or method of the Jest environment after it has been torn down.'
+        );
+
+        process.exitCode = 1;
+      } // We've logged a user message above, so it doesn't matter if we return `null` here
+
+      return this._environment.fakeTimers;
+    };
+
+    const jestObject = {
+      addMatchers: matchers =>
+        this._environment.global.jasmine.addMatchers(matchers),
+      advanceTimersByTime: msToRun =>
+        _getFakeTimers().advanceTimersByTime(msToRun),
+      advanceTimersToNextTimer: steps =>
+        _getFakeTimers().advanceTimersToNextTimer(steps),
+      autoMockOff: disableAutomock,
+      autoMockOn: enableAutomock,
+      clearAllMocks,
+      clearAllTimers: () => _getFakeTimers().clearAllTimers(),
+      deepUnmock,
+      disableAutomock,
+      doMock: mock,
+      dontMock: unmock,
+      enableAutomock,
+      fn,
+      genMockFromModule: moduleName => this._generateMock(from, moduleName),
+      getTimerCount: () => _getFakeTimers().getTimerCount(),
+      isMockFunction: this._moduleMocker.isMockFunction,
+      isolateModules,
+      mock,
+      requireActual: this.requireActual.bind(this, from),
+      requireMock: this.requireMock.bind(this, from),
+      resetAllMocks,
+      resetModuleRegistry: resetModules,
+      resetModules,
+      restoreAllMocks,
+      retryTimes,
+      runAllImmediates: () => _getFakeTimers().runAllImmediates(),
+      runAllTicks: () => _getFakeTimers().runAllTicks(),
+      runAllTimers: () => _getFakeTimers().runAllTimers(),
+      runOnlyPendingTimers: () => _getFakeTimers().runOnlyPendingTimers(),
+      runTimersToTime: msToRun => _getFakeTimers().advanceTimersByTime(msToRun),
+      setMock: (moduleName, mock) => setMockFactory(moduleName, () => mock),
+      setTimeout,
+      spyOn,
+      unmock,
+      useFakeTimers,
+      useRealTimers
+    };
+    return jestObject;
+  }
+
+  _logFormattedReferenceError(errorMessage) {
+    const originalStack = new ReferenceError(errorMessage).stack
+      .split('\n') // Remove this file from the stack (jest-message-utils will keep one line)
+      .filter(line => line.indexOf(__filename) === -1)
+      .join('\n');
+    const {message, stack} = (0, _jestMessageUtil().separateMessageFromStack)(
+      originalStack
+    );
+    console.error(
+      `\n${message}\n` +
+        (0, _jestMessageUtil().formatStackTrace)(stack, this._config, {
+          noStackTrace: false
+        })
+    );
+  }
+
+  wrapCodeInModuleWrapper(content) {
+    const args = this.constructInjectedModuleParameters();
+    return (
+      '({"' +
+      EVAL_RESULT_VARIABLE +
+      `":function(${args.join(',')}){` +
+      content +
+      '\n}});'
+    );
+  }
+
+  constructInjectedModuleParameters() {
+    return [
+      'module',
+      'exports',
+      'require',
+      '__dirname',
+      '__filename',
+      'global',
+      'jest',
+      ...this._config.extraGlobals
+    ];
+  }
+
+  handleExecutionError(e, module) {
+    const moduleNotFoundError = _jestResolve().default.tryCastModuleNotFoundError(
+      e
+    );
+
+    if (moduleNotFoundError) {
+      if (!moduleNotFoundError.requireStack) {
+        moduleNotFoundError.requireStack = [module.filename || module.id];
+
+        for (let cursor = module.parent; cursor; cursor = cursor.parent) {
+          moduleNotFoundError.requireStack.push(cursor.filename || cursor.id);
+        }
+
+        moduleNotFoundError.buildMessage(this._config.rootDir);
+      }
+
+      throw moduleNotFoundError;
+    }
+
+    throw e;
+  }
+
+  getGlobalsForCjs(from) {
+    const jest = this.jestObjectCaches.get(from);
+    invariant(jest, 'There should always be a Jest object already');
+    return {...this.getGlobalsFromEnvironment(), jest};
+  }
+
+  async getGlobalsForEsm(from, context) {
+    let jest = this.jestObjectCaches.get(from);
+
+    if (!jest) {
+      jest = this._createJestObjectFor(from);
+      this.jestObjectCaches.set(from, jest);
+    }
+
+    const globals = {...this.getGlobalsFromEnvironment(), jest};
+    const module = new (_vm().SyntheticModule)(
+      Object.keys(globals),
+      function () {
+        Object.entries(globals).forEach(([key, value]) => {
+          // @ts-ignore: TS doesn't know what `this` is
+          this.setExport(key, value);
+        });
+      },
+      {
+        context,
+        identifier: '@jest/globals'
+      }
+    );
+    await module.link(() => {
+      throw new Error('This should never happen');
+    });
+    await module.evaluate();
+    return module;
+  }
+
+  getGlobalsFromEnvironment() {
+    return {
+      afterAll: this._environment.global.afterAll,
+      afterEach: this._environment.global.afterEach,
+      beforeAll: this._environment.global.beforeAll,
+      beforeEach: this._environment.global.beforeEach,
+      describe: this._environment.global.describe,
+      expect: this._environment.global.expect,
+      fdescribe: this._environment.global.fdescribe,
+      fit: this._environment.global.fit,
+      it: this._environment.global.it,
+      test: this._environment.global.test,
+      xdescribe: this._environment.global.xdescribe,
+      xit: this._environment.global.xit,
+      xtest: this._environment.global.xtest
+    };
+  }
+
+  readFile(filename) {
+    let source = this._cacheFS.get(filename);
+
+    if (!source) {
+      source = fs().readFileSync(filename, 'utf8');
+
+      this._cacheFS.set(filename, source);
+    }
+
+    return source;
+  }
+}
+
+_defineProperty(Runtime, 'shouldInstrument', _transform().shouldInstrument);
+
+function invariant(condition, message) {
+  if (!condition) {
+    throw new Error(message);
+  }
+}
+
+module.exports = Runtime;
diff --git a/node_modules/jest-runtime/build/ts3.4/cli/args.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/cli/args.d.ts
similarity index 100%
rename from node_modules/jest-runtime/build/ts3.4/cli/args.d.ts
rename to node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/cli/args.d.ts
diff --git a/node_modules/jest-runtime/build/ts3.4/cli/index.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/cli/index.d.ts
similarity index 100%
rename from node_modules/jest-runtime/build/ts3.4/cli/index.d.ts
rename to node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/cli/index.d.ts
diff --git a/node_modules/jest-runtime/build/ts3.4/helpers.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/helpers.d.ts
similarity index 100%
rename from node_modules/jest-runtime/build/ts3.4/helpers.d.ts
rename to node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/helpers.d.ts
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/index.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/index.d.ts
new file mode 100644
index 000000000..cb8e6dded
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/index.d.ts
@@ -0,0 +1,124 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import { Config } from '@jest/types';
+import { JestEnvironment } from '@jest/environment';
+import { SourceMapRegistry } from '@jest/source-map';
+import { ShouldInstrumentOptions, shouldInstrument } from '@jest/transform';
+import { V8CoverageResult } from '@jest/test-result';
+import { options as cliOptions } from './cli/args';
+import { Context as JestContext } from './types';
+import HasteMap = require('jest-haste-map');
+import Resolver = require('jest-resolve');
+declare type HasteMapOptions = {
+    console?: Console;
+    maxWorkers: number;
+    resetCache: boolean;
+    watch?: boolean;
+    watchman: boolean;
+};
+declare type InternalModuleOptions = {
+    isInternalModule: boolean;
+    supportsDynamicImport: boolean;
+    supportsStaticESM: boolean;
+};
+declare namespace Runtime {
+    type Context = JestContext;
+    type RuntimeType = Runtime;
+}
+declare class Runtime {
+    private _cacheFS;
+    private _config;
+    private _coverageOptions;
+    private _currentlyExecutingModulePath;
+    private _environment;
+    private _explicitShouldMock;
+    private _internalModuleRegistry;
+    private _isCurrentlyExecutingManualMock;
+    private _mockFactories;
+    private _mockMetaDataCache;
+    private _mockRegistry;
+    private _isolatedMockRegistry;
+    private _moduleMocker;
+    private _isolatedModuleRegistry;
+    private _moduleRegistry;
+    private _esmoduleRegistry;
+    private _resolver;
+    private _shouldAutoMock;
+    private _shouldMockModuleCache;
+    private _shouldUnmockTransitiveDependenciesCache;
+    private _sourceMapRegistry;
+    private _scriptTransformer;
+    private _fileTransforms;
+    private _v8CoverageInstrumenter;
+    private _v8CoverageResult;
+    private _transitiveShouldMock;
+    private _unmockList;
+    private _virtualMocks;
+    private _moduleImplementation?;
+    private jestObjectCaches;
+    constructor(config: Config.ProjectConfig, environment: JestEnvironment, resolver: Resolver, cacheFS?: Record<string, string>, coverageOptions?: ShouldInstrumentOptions);
+    static shouldInstrument: typeof shouldInstrument;
+    static createContext(config: Config.ProjectConfig, options: {
+        console?: Console;
+        maxWorkers: number;
+        watch?: boolean;
+        watchman: boolean;
+    }): Promise<JestContext>;
+    static createHasteMap(config: Config.ProjectConfig, options?: HasteMapOptions): HasteMap;
+    static createResolver(config: Config.ProjectConfig, moduleMap: HasteMap.ModuleMap): Resolver;
+    static runCLI(args?: Config.Argv, info?: Array<string>): Promise<void>;
+    static getCLIOptions(): typeof cliOptions;
+    unstable_shouldLoadAsEsm: typeof import("jest-resolve/build/shouldLoadAsEsm").default;
+    private loadEsmModule;
+    private linkModules;
+    unstable_importModule(from: Config.Path, moduleName?: string): Promise<void>;
+    private loadCjsAsEsm;
+    requireModule<T = unknown>(from: Config.Path, moduleName?: string, options?: InternalModuleOptions, isRequireActual?: boolean | null): T;
+    requireInternalModule<T = unknown>(from: Config.Path, to?: string): T;
+    requireActual<T = unknown>(from: Config.Path, moduleName: string): T;
+    requireMock<T = unknown>(from: Config.Path, moduleName: string): T;
+    private _loadModule;
+    private _getFullTransformationOptions;
+    requireModuleOrMock<T = unknown>(from: Config.Path, moduleName: string): T;
+    isolateModules(fn: () => void): void;
+    resetModules(): void;
+    collectV8Coverage(): Promise<void>;
+    stopCollectingV8Coverage(): Promise<void>;
+    getAllCoverageInfoCopy(): JestEnvironment['global']['__coverage__'];
+    getAllV8CoverageInfoCopy(): V8CoverageResult;
+    getSourceMapInfo(_coveredFiles: Set<string>): Record<string, string>;
+    getSourceMaps(): SourceMapRegistry;
+    setMock(from: string, moduleName: string, mockFactory: () => unknown, options?: {
+        virtual?: boolean;
+    }): void;
+    restoreAllMocks(): void;
+    resetAllMocks(): void;
+    clearAllMocks(): void;
+    teardown(): void;
+    private _resolveModule;
+    private _requireResolve;
+    private _requireResolvePaths;
+    private _execModule;
+    private transformFile;
+    private createScriptFromCode;
+    private _requireCoreModule;
+    private _importCoreModule;
+    private _getMockedNativeModule;
+    private _generateMock;
+    private _shouldMock;
+    private _createRequireImplementation;
+    private _createJestObjectFor;
+    private _logFormattedReferenceError;
+    private wrapCodeInModuleWrapper;
+    private constructInjectedModuleParameters;
+    private handleExecutionError;
+    private getGlobalsForCjs;
+    private getGlobalsForEsm;
+    private getGlobalsFromEnvironment;
+    private readFile;
+}
+export = Runtime;
diff --git a/node_modules/jest-runtime/build/ts3.4/types.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/types.d.ts
similarity index 100%
rename from node_modules/jest-runtime/build/ts3.4/types.d.ts
rename to node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/types.d.ts
diff --git a/node_modules/jest-runtime/build/ts3.4/version.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/version.d.ts
similarity index 100%
rename from node_modules/jest-runtime/build/ts3.4/version.d.ts
rename to node_modules/@jest/core/node_modules/jest-runtime/build/ts3.4/version.d.ts
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/types.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/types.d.ts
new file mode 100644
index 000000000..f52c4be37
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/types.d.ts
@@ -0,0 +1,15 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import HasteResolver = require('jest-resolve');
+import type { FS as HasteFS, ModuleMap } from 'jest-haste-map';
+export declare type Context = {
+    config: Config.ProjectConfig;
+    hasteFS: HasteFS;
+    moduleMap: ModuleMap;
+    resolver: HasteResolver;
+};
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/types.js b/node_modules/@jest/core/node_modules/jest-runtime/build/types.js
new file mode 100644
index 000000000..56441c8d0
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/types.js
@@ -0,0 +1,15 @@
+'use strict';
+
+function _jestResolve() {
+  const data = _interopRequireDefault(require('jest-resolve'));
+
+  _jestResolve = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/version.d.ts b/node_modules/@jest/core/node_modules/jest-runtime/build/version.d.ts
new file mode 100644
index 000000000..f74a8838d
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/version.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare const VERSION: string;
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/build/version.js b/node_modules/@jest/core/node_modules/jest-runtime/build/version.js
new file mode 100644
index 000000000..5ca58b3e7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/build/version.js
@@ -0,0 +1,17 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.VERSION = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// For some reason, doing `require`ing here works, while inside `cli` fails
+const VERSION = require('../package.json').version;
+
+exports.VERSION = VERSION;
diff --git a/node_modules/@jest/core/node_modules/jest-runtime/package.json b/node_modules/@jest/core/node_modules/jest-runtime/package.json
new file mode 100644
index 000000000..10f1b9084
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/jest-runtime/package.json
@@ -0,0 +1,102 @@
+{
+  "_args": [
+    [
+      "jest-runtime@25.5.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-runtime@25.5.4",
+  "_id": "jest-runtime@25.5.4",
+  "_inBundle": false,
+  "_integrity": "sha512-RWTt8LeWh3GvjYtASH2eezkc8AehVoWKK20udV6n3/gC87wlTbE1kIA+opCvNWyyPeBs6ptYsc6nyHUb1GlUVQ==",
+  "_location": "/@jest/core/jest-runtime",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-runtime@25.5.4",
+    "name": "jest-runtime",
+    "escapedName": "jest-runtime",
+    "rawSpec": "25.5.4",
+    "saveSpec": null,
+    "fetchSpec": "25.5.4"
+  },
+  "_requiredBy": [
+    "/@jest/core",
+    "/@jest/core/@jest/test-sequencer",
+    "/@jest/core/jest-jasmine2",
+    "/@jest/core/jest-runner"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-runtime/-/jest-runtime-25.5.4.tgz",
+  "_spec": "25.5.4",
+  "_where": "/workspace/readable-readme",
+  "bin": {
+    "jest-runtime": "bin/jest-runtime.js"
+  },
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/console": "^25.5.0",
+    "@jest/environment": "^25.5.0",
+    "@jest/globals": "^25.5.2",
+    "@jest/source-map": "^25.5.0",
+    "@jest/test-result": "^25.5.0",
+    "@jest/transform": "^25.5.1",
+    "@jest/types": "^25.5.0",
+    "@types/yargs": "^15.0.0",
+    "chalk": "^3.0.0",
+    "collect-v8-coverage": "^1.0.0",
+    "exit": "^0.1.2",
+    "glob": "^7.1.3",
+    "graceful-fs": "^4.2.4",
+    "jest-config": "^25.5.4",
+    "jest-haste-map": "^25.5.1",
+    "jest-message-util": "^25.5.0",
+    "jest-mock": "^25.5.0",
+    "jest-regex-util": "^25.2.6",
+    "jest-resolve": "^25.5.1",
+    "jest-snapshot": "^25.5.1",
+    "jest-util": "^25.5.0",
+    "jest-validate": "^25.5.0",
+    "realpath-native": "^2.0.0",
+    "slash": "^3.0.0",
+    "strip-bom": "^4.0.0",
+    "yargs": "^15.3.1"
+  },
+  "devDependencies": {
+    "@jest/test-utils": "^25.5.0",
+    "@types/exit": "^0.1.30",
+    "@types/glob": "^7.1.1",
+    "@types/graceful-fs": "^4.1.2",
+    "execa": "^3.2.0",
+    "jest-environment-node": "^25.5.0",
+    "jest-snapshot-serializer-raw": "^1.1.0"
+  },
+  "engines": {
+    "node": ">= 8.3"
+  },
+  "gitHead": "389d13724bbf6bb64dcde9700a6ecea3333942db",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-runtime",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-runtime"
+  },
+  "types": "build/index.d.ts",
+  "typesVersions": {
+    "<3.8": {
+      "build/*": [
+        "build/ts3.4/*"
+      ]
+    }
+  },
+  "version": "25.5.4"
+}
diff --git a/node_modules/@jest/core/node_modules/pretty-format/LICENSE b/node_modules/@jest/core/node_modules/pretty-format/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/core/node_modules/pretty-format/README.md b/node_modules/@jest/core/node_modules/pretty-format/README.md
new file mode 100755
index 000000000..ca445cfaf
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/README.md
@@ -0,0 +1,456 @@
+# pretty-format
+
+Stringify any JavaScript value.
+
+- Serialize built-in JavaScript types.
+- Serialize application-specific data types with built-in or user-defined plugins.
+
+## Installation
+
+```sh
+$ yarn add pretty-format
+```
+
+## Usage
+
+```js
+const prettyFormat = require('pretty-format'); // CommonJS
+```
+
+```js
+import prettyFormat from 'pretty-format'; // ES2015 modules
+```
+
+```js
+const val = {object: {}};
+val.circularReference = val;
+val[Symbol('foo')] = 'foo';
+val.map = new Map([['prop', 'value']]);
+val.array = [-0, Infinity, NaN];
+
+console.log(prettyFormat(val));
+/*
+Object {
+  "array": Array [
+    -0,
+    Infinity,
+    NaN,
+  ],
+  "circularReference": [Circular],
+  "map": Map {
+    "prop" => "value",
+  },
+  "object": Object {},
+  Symbol(foo): "foo",
+}
+*/
+```
+
+## Usage with options
+
+```js
+function onClick() {}
+
+console.log(prettyFormat(onClick));
+/*
+[Function onClick]
+*/
+
+const options = {
+  printFunctionName: false,
+};
+console.log(prettyFormat(onClick, options));
+/*
+[Function]
+*/
+```
+
+<!-- prettier-ignore -->
+| key                 | type      | default    | description                                             |
+| :------------------ | :-------- | :--------- | :------------------------------------------------------ |
+| `callToJSON`        | `boolean` | `true`     | call `toJSON` method (if it exists) on objects          |
+| `escapeRegex`       | `boolean` | `false`    | escape special characters in regular expressions        |
+| `escapeString`      | `boolean` | `true`     | escape special characters in strings                    |
+| `highlight`         | `boolean` | `false`    | highlight syntax with colors in terminal (some plugins) |
+| `indent`            | `number`  | `2`        | spaces in each level of indentation                     |
+| `maxDepth`          | `number`  | `Infinity` | levels to print in arrays, objects, elements, and so on |
+| `min`               | `boolean` | `false`    | minimize added space: no indentation nor line breaks    |
+| `plugins`           | `array`   | `[]`       | plugins to serialize application-specific data types    |
+| `printFunctionName` | `boolean` | `true`     | include or omit the name of a function                  |
+| `theme`             | `object`  |            | colors to highlight syntax in terminal                  |
+
+Property values of `theme` are from [ansi-styles colors](https://github.com/chalk/ansi-styles#colors)
+
+```js
+const DEFAULT_THEME = {
+  comment: 'gray',
+  content: 'reset',
+  prop: 'yellow',
+  tag: 'cyan',
+  value: 'green',
+};
+```
+
+## Usage with plugins
+
+The `pretty-format` package provides some built-in plugins, including:
+
+- `ReactElement` for elements from `react`
+- `ReactTestComponent` for test objects from `react-test-renderer`
+
+```js
+// CommonJS
+const prettyFormat = require('pretty-format');
+const ReactElement = prettyFormat.plugins.ReactElement;
+const ReactTestComponent = prettyFormat.plugins.ReactTestComponent;
+
+const React = require('react');
+const renderer = require('react-test-renderer');
+```
+
+```js
+// ES2015 modules and destructuring assignment
+import prettyFormat from 'pretty-format';
+const {ReactElement, ReactTestComponent} = prettyFormat.plugins;
+
+import React from 'react';
+import renderer from 'react-test-renderer';
+```
+
+```js
+const onClick = () => {};
+const element = React.createElement('button', {onClick}, 'Hello World');
+
+const formatted1 = prettyFormat(element, {
+  plugins: [ReactElement],
+  printFunctionName: false,
+});
+const formatted2 = prettyFormat(renderer.create(element).toJSON(), {
+  plugins: [ReactTestComponent],
+  printFunctionName: false,
+});
+/*
+<button
+  onClick=[Function]
+>
+  Hello World
+</button>
+*/
+```
+
+## Usage in Jest
+
+For snapshot tests, Jest uses `pretty-format` with options that include some of its built-in plugins. For this purpose, plugins are also known as **snapshot serializers**.
+
+To serialize application-specific data types, you can add modules to `devDependencies` of a project, and then:
+
+In an **individual** test file, you can add a module as follows. It precedes any modules from Jest configuration.
+
+```js
+import serializer from 'my-serializer-module';
+expect.addSnapshotSerializer(serializer);
+
+// tests which have `expect(value).toMatchSnapshot()` assertions
+```
+
+For **all** test files, you can specify modules in Jest configuration. They precede built-in plugins for React, HTML, and Immutable.js data types. For example, in a `package.json` file:
+
+```json
+{
+  "jest": {
+    "snapshotSerializers": ["my-serializer-module"]
+  }
+}
+```
+
+## Writing plugins
+
+A plugin is a JavaScript object.
+
+If `options` has a `plugins` array: for the first plugin whose `test(val)` method returns a truthy value, then `prettyFormat(val, options)` returns the result from either:
+
+- `serialize(val, …)` method of the **improved** interface (available in **version 21** or later)
+- `print(val, …)` method of the **original** interface (if plugin does not have `serialize` method)
+
+### test
+
+Write `test` so it can receive `val` argument of any type. To serialize **objects** which have certain properties, then a guarded expression like `val != null && …` or more concise `val && …` prevents the following errors:
+
+- `TypeError: Cannot read property 'whatever' of null`
+- `TypeError: Cannot read property 'whatever' of undefined`
+
+For example, `test` method of built-in `ReactElement` plugin:
+
+```js
+const elementSymbol = Symbol.for('react.element');
+const test = val => val && val.$$typeof === elementSymbol;
+```
+
+Pay attention to efficiency in `test` because `pretty-format` calls it often.
+
+### serialize
+
+The **improved** interface is available in **version 21** or later.
+
+Write `serialize` to return a string, given the arguments:
+
+- `val` which “passed the test”
+- unchanging `config` object: derived from `options`
+- current `indentation` string: concatenate to `indent` from `config`
+- current `depth` number: compare to `maxDepth` from `config`
+- current `refs` array: find circular references in objects
+- `printer` callback function: serialize children
+
+### config
+
+<!-- prettier-ignore -->
+| key                 | type      | description                                             |
+| :------------------ | :-------- | :------------------------------------------------------ |
+| `callToJSON`        | `boolean` | call `toJSON` method (if it exists) on objects          |
+| `colors`            | `Object`  | escape codes for colors to highlight syntax             |
+| `escapeRegex`       | `boolean` | escape special characters in regular expressions        |
+| `escapeString`      | `boolean` | escape special characters in strings                    |
+| `indent`            | `string`  | spaces in each level of indentation                     |
+| `maxDepth`          | `number`  | levels to print in arrays, objects, elements, and so on |
+| `min`               | `boolean` | minimize added space: no indentation nor line breaks    |
+| `plugins`           | `array`   | plugins to serialize application-specific data types    |
+| `printFunctionName` | `boolean` | include or omit the name of a function                  |
+| `spacingInner`      | `strong`  | spacing to separate items in a list                     |
+| `spacingOuter`      | `strong`  | spacing to enclose a list of items                      |
+
+Each property of `colors` in `config` corresponds to a property of `theme` in `options`:
+
+- the key is the same (for example, `tag`)
+- the value in `colors` is a object with `open` and `close` properties whose values are escape codes from [ansi-styles](https://github.com/chalk/ansi-styles) for the color value in `theme` (for example, `'cyan'`)
+
+Some properties in `config` are derived from `min` in `options`:
+
+- `spacingInner` and `spacingOuter` are **newline** if `min` is `false`
+- `spacingInner` is **space** and `spacingOuter` is **empty string** if `min` is `true`
+
+### Example of serialize and test
+
+This plugin is a pattern you can apply to serialize composite data types. Side note: `pretty-format` does not need a plugin to serialize arrays.
+
+```js
+// We reused more code when we factored out a function for child items
+// that is independent of depth, name, and enclosing punctuation (see below).
+const SEPARATOR = ',';
+function serializeItems(items, config, indentation, depth, refs, printer) {
+  if (items.length === 0) {
+    return '';
+  }
+  const indentationItems = indentation + config.indent;
+  return (
+    config.spacingOuter +
+    items
+      .map(
+        item =>
+          indentationItems +
+          printer(item, config, indentationItems, depth, refs), // callback
+      )
+      .join(SEPARATOR + config.spacingInner) +
+    (config.min ? '' : SEPARATOR) + // following the last item
+    config.spacingOuter +
+    indentation
+  );
+}
+
+const plugin = {
+  test(val) {
+    return Array.isArray(val);
+  },
+  serialize(array, config, indentation, depth, refs, printer) {
+    const name = array.constructor.name;
+    return ++depth > config.maxDepth
+      ? '[' + name + ']'
+      : (config.min ? '' : name + ' ') +
+          '[' +
+          serializeItems(array, config, indentation, depth, refs, printer) +
+          ']';
+  },
+};
+```
+
+```js
+const val = {
+  filter: 'completed',
+  items: [
+    {
+      text: 'Write test',
+      completed: true,
+    },
+    {
+      text: 'Write serialize',
+      completed: true,
+    },
+  ],
+};
+```
+
+```js
+console.log(
+  prettyFormat(val, {
+    plugins: [plugin],
+  }),
+);
+/*
+Object {
+  "filter": "completed",
+  "items": Array [
+    Object {
+      "completed": true,
+      "text": "Write test",
+    },
+    Object {
+      "completed": true,
+      "text": "Write serialize",
+    },
+  ],
+}
+*/
+```
+
+```js
+console.log(
+  prettyFormat(val, {
+    indent: 4,
+    plugins: [plugin],
+  }),
+);
+/*
+Object {
+    "filter": "completed",
+    "items": Array [
+        Object {
+            "completed": true,
+            "text": "Write test",
+        },
+        Object {
+            "completed": true,
+            "text": "Write serialize",
+        },
+    ],
+}
+*/
+```
+
+```js
+console.log(
+  prettyFormat(val, {
+    maxDepth: 1,
+    plugins: [plugin],
+  }),
+);
+/*
+Object {
+  "filter": "completed",
+  "items": [Array],
+}
+*/
+```
+
+```js
+console.log(
+  prettyFormat(val, {
+    min: true,
+    plugins: [plugin],
+  }),
+);
+/*
+{"filter": "completed", "items": [{"completed": true, "text": "Write test"}, {"completed": true, "text": "Write serialize"}]}
+*/
+```
+
+### print
+
+The **original** interface is adequate for plugins:
+
+- that **do not** depend on options other than `highlight` or `min`
+- that **do not** depend on `depth` or `refs` in recursive traversal, and
+- if values either
+  - do **not** require indentation, or
+  - do **not** occur as children of JavaScript data structures (for example, array)
+
+Write `print` to return a string, given the arguments:
+
+- `val` which “passed the test”
+- current `printer(valChild)` callback function: serialize children
+- current `indenter(lines)` callback function: indent lines at the next level
+- unchanging `config` object: derived from `options`
+- unchanging `colors` object: derived from `options`
+
+The 3 properties of `config` are `min` in `options` and:
+
+- `spacing` and `edgeSpacing` are **newline** if `min` is `false`
+- `spacing` is **space** and `edgeSpacing` is **empty string** if `min` is `true`
+
+Each property of `colors` corresponds to a property of `theme` in `options`:
+
+- the key is the same (for example, `tag`)
+- the value in `colors` is a object with `open` and `close` properties whose values are escape codes from [ansi-styles](https://github.com/chalk/ansi-styles) for the color value in `theme` (for example, `'cyan'`)
+
+### Example of print and test
+
+This plugin prints functions with the **number of named arguments** excluding rest argument.
+
+```js
+const plugin = {
+  print(val) {
+    return `[Function ${val.name || 'anonymous'} ${val.length}]`;
+  },
+  test(val) {
+    return typeof val === 'function';
+  },
+};
+```
+
+```js
+const val = {
+  onClick(event) {},
+  render() {},
+};
+
+prettyFormat(val, {
+  plugins: [plugin],
+});
+/*
+Object {
+  "onClick": [Function onClick 1],
+  "render": [Function render 0],
+}
+*/
+
+prettyFormat(val);
+/*
+Object {
+  "onClick": [Function onClick],
+  "render": [Function render],
+}
+*/
+```
+
+This plugin **ignores** the `printFunctionName` option. That limitation of the original `print` interface is a reason to use the improved `serialize` interface, described above.
+
+```js
+prettyFormat(val, {
+  plugins: [pluginOld],
+  printFunctionName: false,
+});
+/*
+Object {
+  "onClick": [Function onClick 1],
+  "render": [Function render 0],
+}
+*/
+
+prettyFormat(val, {
+  printFunctionName: false,
+});
+/*
+Object {
+  "onClick": [Function],
+  "render": [Function],
+}
+*/
+```
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build-es5/index.js b/node_modules/@jest/core/node_modules/pretty-format/build-es5/index.js
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build-es5/index.js
rename to node_modules/@jest/core/node_modules/pretty-format/build-es5/index.js
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build-es5/index.js.map b/node_modules/@jest/core/node_modules/pretty-format/build-es5/index.js.map
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build-es5/index.js.map
rename to node_modules/@jest/core/node_modules/pretty-format/build-es5/index.js.map
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/collections.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/collections.d.ts
new file mode 100644
index 000000000..eaf7e611e
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/collections.d.ts
@@ -0,0 +1,32 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+import type { Config, Printer, Refs } from './types';
+/**
+ * Return entries (for example, of a map)
+ * with spacing, indentation, and comma
+ * without surrounding punctuation (for example, braces)
+ */
+export declare function printIteratorEntries(iterator: Iterator<[unknown, unknown]>, config: Config, indentation: string, depth: number, refs: Refs, printer: Printer, separator?: string): string;
+/**
+ * Return values (for example, of a set)
+ * with spacing, indentation, and comma
+ * without surrounding punctuation (braces or brackets)
+ */
+export declare function printIteratorValues(iterator: Iterator<unknown>, config: Config, indentation: string, depth: number, refs: Refs, printer: Printer): string;
+/**
+ * Return items (for example, of an array)
+ * with spacing, indentation, and comma
+ * without surrounding punctuation (for example, brackets)
+ **/
+export declare function printListItems(list: ArrayLike<unknown>, config: Config, indentation: string, depth: number, refs: Refs, printer: Printer): string;
+/**
+ * Return properties of an object
+ * with spacing, indentation, and comma
+ * without surrounding punctuation (for example, braces)
+ */
+export declare function printObjectProperties(val: Record<string, unknown>, config: Config, indentation: string, depth: number, refs: Refs, printer: Printer): string;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/collections.js b/node_modules/@jest/core/node_modules/pretty-format/build/collections.js
new file mode 100644
index 000000000..c31d21e94
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/collections.js
@@ -0,0 +1,185 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.printIteratorEntries = printIteratorEntries;
+exports.printIteratorValues = printIteratorValues;
+exports.printListItems = printListItems;
+exports.printObjectProperties = printObjectProperties;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+const getKeysOfEnumerableProperties = object => {
+  const keys = Object.keys(object).sort();
+
+  if (Object.getOwnPropertySymbols) {
+    Object.getOwnPropertySymbols(object).forEach(symbol => {
+      if (Object.getOwnPropertyDescriptor(object, symbol).enumerable) {
+        keys.push(symbol);
+      }
+    });
+  }
+
+  return keys;
+};
+/**
+ * Return entries (for example, of a map)
+ * with spacing, indentation, and comma
+ * without surrounding punctuation (for example, braces)
+ */
+
+function printIteratorEntries(
+  iterator,
+  config,
+  indentation,
+  depth,
+  refs,
+  printer, // Too bad, so sad that separator for ECMAScript Map has been ' => '
+  // What a distracting diff if you change a data structure to/from
+  // ECMAScript Object or Immutable.Map/OrderedMap which use the default.
+  separator = ': '
+) {
+  let result = '';
+  let current = iterator.next();
+
+  if (!current.done) {
+    result += config.spacingOuter;
+    const indentationNext = indentation + config.indent;
+
+    while (!current.done) {
+      const name = printer(
+        current.value[0],
+        config,
+        indentationNext,
+        depth,
+        refs
+      );
+      const value = printer(
+        current.value[1],
+        config,
+        indentationNext,
+        depth,
+        refs
+      );
+      result += indentationNext + name + separator + value;
+      current = iterator.next();
+
+      if (!current.done) {
+        result += ',' + config.spacingInner;
+      } else if (!config.min) {
+        result += ',';
+      }
+    }
+
+    result += config.spacingOuter + indentation;
+  }
+
+  return result;
+}
+/**
+ * Return values (for example, of a set)
+ * with spacing, indentation, and comma
+ * without surrounding punctuation (braces or brackets)
+ */
+
+function printIteratorValues(
+  iterator,
+  config,
+  indentation,
+  depth,
+  refs,
+  printer
+) {
+  let result = '';
+  let current = iterator.next();
+
+  if (!current.done) {
+    result += config.spacingOuter;
+    const indentationNext = indentation + config.indent;
+
+    while (!current.done) {
+      result +=
+        indentationNext +
+        printer(current.value, config, indentationNext, depth, refs);
+      current = iterator.next();
+
+      if (!current.done) {
+        result += ',' + config.spacingInner;
+      } else if (!config.min) {
+        result += ',';
+      }
+    }
+
+    result += config.spacingOuter + indentation;
+  }
+
+  return result;
+}
+/**
+ * Return items (for example, of an array)
+ * with spacing, indentation, and comma
+ * without surrounding punctuation (for example, brackets)
+ **/
+
+function printListItems(list, config, indentation, depth, refs, printer) {
+  let result = '';
+
+  if (list.length) {
+    result += config.spacingOuter;
+    const indentationNext = indentation + config.indent;
+
+    for (let i = 0; i < list.length; i++) {
+      result +=
+        indentationNext +
+        printer(list[i], config, indentationNext, depth, refs);
+
+      if (i < list.length - 1) {
+        result += ',' + config.spacingInner;
+      } else if (!config.min) {
+        result += ',';
+      }
+    }
+
+    result += config.spacingOuter + indentation;
+  }
+
+  return result;
+}
+/**
+ * Return properties of an object
+ * with spacing, indentation, and comma
+ * without surrounding punctuation (for example, braces)
+ */
+
+function printObjectProperties(val, config, indentation, depth, refs, printer) {
+  let result = '';
+  const keys = getKeysOfEnumerableProperties(val);
+
+  if (keys.length) {
+    result += config.spacingOuter;
+    const indentationNext = indentation + config.indent;
+
+    for (let i = 0; i < keys.length; i++) {
+      const key = keys[i];
+      const name = printer(key, config, indentationNext, depth, refs);
+      const value = printer(val[key], config, indentationNext, depth, refs);
+      result += indentationNext + name + ': ' + value;
+
+      if (i < keys.length - 1) {
+        result += ',' + config.spacingInner;
+      } else if (!config.min) {
+        result += ',';
+      }
+    }
+
+    result += config.spacingOuter + indentation;
+  }
+
+  return result;
+}
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/index.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/index.d.ts
new file mode 100644
index 000000000..8b3bc9e15
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/index.d.ts
@@ -0,0 +1,37 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type * as PrettyFormat from './types';
+/**
+ * Returns a presentation string of your `val` object
+ * @param val any potential JavaScript object
+ * @param options Custom settings
+ */
+declare function prettyFormat(val: unknown, options?: PrettyFormat.OptionsReceived): string;
+declare namespace prettyFormat {
+    var plugins: {
+        AsymmetricMatcher: PrettyFormat.NewPlugin;
+        ConvertAnsi: PrettyFormat.NewPlugin;
+        DOMCollection: PrettyFormat.NewPlugin;
+        DOMElement: PrettyFormat.NewPlugin;
+        Immutable: PrettyFormat.NewPlugin;
+        ReactElement: PrettyFormat.NewPlugin;
+        ReactTestComponent: PrettyFormat.NewPlugin;
+    };
+}
+declare namespace prettyFormat {
+    type Colors = PrettyFormat.Colors;
+    type Config = PrettyFormat.Config;
+    type Options = PrettyFormat.Options;
+    type OptionsReceived = PrettyFormat.OptionsReceived;
+    type OldPlugin = PrettyFormat.OldPlugin;
+    type NewPlugin = PrettyFormat.NewPlugin;
+    type Plugin = PrettyFormat.Plugin;
+    type Plugins = PrettyFormat.Plugins;
+    type Refs = PrettyFormat.Refs;
+    type Theme = PrettyFormat.Theme;
+}
+export = prettyFormat;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/index.js b/node_modules/@jest/core/node_modules/pretty-format/build/index.js
new file mode 100644
index 000000000..95198471e
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/index.js
@@ -0,0 +1,559 @@
+'use strict';
+
+var _ansiStyles = _interopRequireDefault(require('ansi-styles'));
+
+var _collections = require('./collections');
+
+var _AsymmetricMatcher = _interopRequireDefault(
+  require('./plugins/AsymmetricMatcher')
+);
+
+var _ConvertAnsi = _interopRequireDefault(require('./plugins/ConvertAnsi'));
+
+var _DOMCollection = _interopRequireDefault(require('./plugins/DOMCollection'));
+
+var _DOMElement = _interopRequireDefault(require('./plugins/DOMElement'));
+
+var _Immutable = _interopRequireDefault(require('./plugins/Immutable'));
+
+var _ReactElement = _interopRequireDefault(require('./plugins/ReactElement'));
+
+var _ReactTestComponent = _interopRequireDefault(
+  require('./plugins/ReactTestComponent')
+);
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const toString = Object.prototype.toString;
+const toISOString = Date.prototype.toISOString;
+const errorToString = Error.prototype.toString;
+const regExpToString = RegExp.prototype.toString;
+/**
+ * Explicitly comparing typeof constructor to function avoids undefined as name
+ * when mock identity-obj-proxy returns the key as the value for any key.
+ */
+
+const getConstructorName = val =>
+  (typeof val.constructor === 'function' && val.constructor.name) || 'Object';
+/* global window */
+
+/** Is val is equal to global window object? Works even if it does not exist :) */
+
+const isWindow = val => typeof window !== 'undefined' && val === window;
+
+const SYMBOL_REGEXP = /^Symbol\((.*)\)(.*)$/;
+const NEWLINE_REGEXP = /\n/gi;
+
+class PrettyFormatPluginError extends Error {
+  constructor(message, stack) {
+    super(message);
+    this.stack = stack;
+    this.name = this.constructor.name;
+  }
+}
+
+function isToStringedArrayType(toStringed) {
+  return (
+    toStringed === '[object Array]' ||
+    toStringed === '[object ArrayBuffer]' ||
+    toStringed === '[object DataView]' ||
+    toStringed === '[object Float32Array]' ||
+    toStringed === '[object Float64Array]' ||
+    toStringed === '[object Int8Array]' ||
+    toStringed === '[object Int16Array]' ||
+    toStringed === '[object Int32Array]' ||
+    toStringed === '[object Uint8Array]' ||
+    toStringed === '[object Uint8ClampedArray]' ||
+    toStringed === '[object Uint16Array]' ||
+    toStringed === '[object Uint32Array]'
+  );
+}
+
+function printNumber(val) {
+  return Object.is(val, -0) ? '-0' : String(val);
+}
+
+function printBigInt(val) {
+  return String(`${val}n`);
+}
+
+function printFunction(val, printFunctionName) {
+  if (!printFunctionName) {
+    return '[Function]';
+  }
+
+  return '[Function ' + (val.name || 'anonymous') + ']';
+}
+
+function printSymbol(val) {
+  return String(val).replace(SYMBOL_REGEXP, 'Symbol($1)');
+}
+
+function printError(val) {
+  return '[' + errorToString.call(val) + ']';
+}
+/**
+ * The first port of call for printing an object, handles most of the
+ * data-types in JS.
+ */
+
+function printBasicValue(val, printFunctionName, escapeRegex, escapeString) {
+  if (val === true || val === false) {
+    return '' + val;
+  }
+
+  if (val === undefined) {
+    return 'undefined';
+  }
+
+  if (val === null) {
+    return 'null';
+  }
+
+  const typeOf = typeof val;
+
+  if (typeOf === 'number') {
+    return printNumber(val);
+  }
+
+  if (typeOf === 'bigint') {
+    return printBigInt(val);
+  }
+
+  if (typeOf === 'string') {
+    if (escapeString) {
+      return '"' + val.replace(/"|\\/g, '\\$&') + '"';
+    }
+
+    return '"' + val + '"';
+  }
+
+  if (typeOf === 'function') {
+    return printFunction(val, printFunctionName);
+  }
+
+  if (typeOf === 'symbol') {
+    return printSymbol(val);
+  }
+
+  const toStringed = toString.call(val);
+
+  if (toStringed === '[object WeakMap]') {
+    return 'WeakMap {}';
+  }
+
+  if (toStringed === '[object WeakSet]') {
+    return 'WeakSet {}';
+  }
+
+  if (
+    toStringed === '[object Function]' ||
+    toStringed === '[object GeneratorFunction]'
+  ) {
+    return printFunction(val, printFunctionName);
+  }
+
+  if (toStringed === '[object Symbol]') {
+    return printSymbol(val);
+  }
+
+  if (toStringed === '[object Date]') {
+    return isNaN(+val) ? 'Date { NaN }' : toISOString.call(val);
+  }
+
+  if (toStringed === '[object Error]') {
+    return printError(val);
+  }
+
+  if (toStringed === '[object RegExp]') {
+    if (escapeRegex) {
+      // https://github.com/benjamingr/RegExp.escape/blob/master/polyfill.js
+      return regExpToString.call(val).replace(/[\\^$*+?.()|[\]{}]/g, '\\$&');
+    }
+
+    return regExpToString.call(val);
+  }
+
+  if (val instanceof Error) {
+    return printError(val);
+  }
+
+  return null;
+}
+/**
+ * Handles more complex objects ( such as objects with circular references.
+ * maps and sets etc )
+ */
+
+function printComplexValue(
+  val,
+  config,
+  indentation,
+  depth,
+  refs,
+  hasCalledToJSON
+) {
+  if (refs.indexOf(val) !== -1) {
+    return '[Circular]';
+  }
+
+  refs = refs.slice();
+  refs.push(val);
+  const hitMaxDepth = ++depth > config.maxDepth;
+  const min = config.min;
+
+  if (
+    config.callToJSON &&
+    !hitMaxDepth &&
+    val.toJSON &&
+    typeof val.toJSON === 'function' &&
+    !hasCalledToJSON
+  ) {
+    return printer(val.toJSON(), config, indentation, depth, refs, true);
+  }
+
+  const toStringed = toString.call(val);
+
+  if (toStringed === '[object Arguments]') {
+    return hitMaxDepth
+      ? '[Arguments]'
+      : (min ? '' : 'Arguments ') +
+          '[' +
+          (0, _collections.printListItems)(
+            val,
+            config,
+            indentation,
+            depth,
+            refs,
+            printer
+          ) +
+          ']';
+  }
+
+  if (isToStringedArrayType(toStringed)) {
+    return hitMaxDepth
+      ? '[' + val.constructor.name + ']'
+      : (min ? '' : val.constructor.name + ' ') +
+          '[' +
+          (0, _collections.printListItems)(
+            val,
+            config,
+            indentation,
+            depth,
+            refs,
+            printer
+          ) +
+          ']';
+  }
+
+  if (toStringed === '[object Map]') {
+    return hitMaxDepth
+      ? '[Map]'
+      : 'Map {' +
+          (0, _collections.printIteratorEntries)(
+            val.entries(),
+            config,
+            indentation,
+            depth,
+            refs,
+            printer,
+            ' => '
+          ) +
+          '}';
+  }
+
+  if (toStringed === '[object Set]') {
+    return hitMaxDepth
+      ? '[Set]'
+      : 'Set {' +
+          (0, _collections.printIteratorValues)(
+            val.values(),
+            config,
+            indentation,
+            depth,
+            refs,
+            printer
+          ) +
+          '}';
+  } // Avoid failure to serialize global window object in jsdom test environment.
+  // For example, not even relevant if window is prop of React element.
+
+  return hitMaxDepth || isWindow(val)
+    ? '[' + getConstructorName(val) + ']'
+    : (min ? '' : getConstructorName(val) + ' ') +
+        '{' +
+        (0, _collections.printObjectProperties)(
+          val,
+          config,
+          indentation,
+          depth,
+          refs,
+          printer
+        ) +
+        '}';
+}
+
+function isNewPlugin(plugin) {
+  return plugin.serialize != null;
+}
+
+function printPlugin(plugin, val, config, indentation, depth, refs) {
+  let printed;
+
+  try {
+    printed = isNewPlugin(plugin)
+      ? plugin.serialize(val, config, indentation, depth, refs, printer)
+      : plugin.print(
+          val,
+          valChild => printer(valChild, config, indentation, depth, refs),
+          str => {
+            const indentationNext = indentation + config.indent;
+            return (
+              indentationNext +
+              str.replace(NEWLINE_REGEXP, '\n' + indentationNext)
+            );
+          },
+          {
+            edgeSpacing: config.spacingOuter,
+            min: config.min,
+            spacing: config.spacingInner
+          },
+          config.colors
+        );
+  } catch (error) {
+    throw new PrettyFormatPluginError(error.message, error.stack);
+  }
+
+  if (typeof printed !== 'string') {
+    throw new Error(
+      `pretty-format: Plugin must return type "string" but instead returned "${typeof printed}".`
+    );
+  }
+
+  return printed;
+}
+
+function findPlugin(plugins, val) {
+  for (let p = 0; p < plugins.length; p++) {
+    try {
+      if (plugins[p].test(val)) {
+        return plugins[p];
+      }
+    } catch (error) {
+      throw new PrettyFormatPluginError(error.message, error.stack);
+    }
+  }
+
+  return null;
+}
+
+function printer(val, config, indentation, depth, refs, hasCalledToJSON) {
+  const plugin = findPlugin(config.plugins, val);
+
+  if (plugin !== null) {
+    return printPlugin(plugin, val, config, indentation, depth, refs);
+  }
+
+  const basicResult = printBasicValue(
+    val,
+    config.printFunctionName,
+    config.escapeRegex,
+    config.escapeString
+  );
+
+  if (basicResult !== null) {
+    return basicResult;
+  }
+
+  return printComplexValue(
+    val,
+    config,
+    indentation,
+    depth,
+    refs,
+    hasCalledToJSON
+  );
+}
+
+const DEFAULT_THEME = {
+  comment: 'gray',
+  content: 'reset',
+  prop: 'yellow',
+  tag: 'cyan',
+  value: 'green'
+};
+const DEFAULT_THEME_KEYS = Object.keys(DEFAULT_THEME);
+const DEFAULT_OPTIONS = {
+  callToJSON: true,
+  escapeRegex: false,
+  escapeString: true,
+  highlight: false,
+  indent: 2,
+  maxDepth: Infinity,
+  min: false,
+  plugins: [],
+  printFunctionName: true,
+  theme: DEFAULT_THEME
+};
+
+function validateOptions(options) {
+  Object.keys(options).forEach(key => {
+    if (!DEFAULT_OPTIONS.hasOwnProperty(key)) {
+      throw new Error(`pretty-format: Unknown option "${key}".`);
+    }
+  });
+
+  if (options.min && options.indent !== undefined && options.indent !== 0) {
+    throw new Error(
+      'pretty-format: Options "min" and "indent" cannot be used together.'
+    );
+  }
+
+  if (options.theme !== undefined) {
+    if (options.theme === null) {
+      throw new Error(`pretty-format: Option "theme" must not be null.`);
+    }
+
+    if (typeof options.theme !== 'object') {
+      throw new Error(
+        `pretty-format: Option "theme" must be of type "object" but instead received "${typeof options.theme}".`
+      );
+    }
+  }
+}
+
+const getColorsHighlight = options =>
+  DEFAULT_THEME_KEYS.reduce((colors, key) => {
+    const value =
+      options.theme && options.theme[key] !== undefined
+        ? options.theme[key]
+        : DEFAULT_THEME[key];
+    const color = value && _ansiStyles.default[value];
+
+    if (
+      color &&
+      typeof color.close === 'string' &&
+      typeof color.open === 'string'
+    ) {
+      colors[key] = color;
+    } else {
+      throw new Error(
+        `pretty-format: Option "theme" has a key "${key}" whose value "${value}" is undefined in ansi-styles.`
+      );
+    }
+
+    return colors;
+  }, Object.create(null));
+
+const getColorsEmpty = () =>
+  DEFAULT_THEME_KEYS.reduce((colors, key) => {
+    colors[key] = {
+      close: '',
+      open: ''
+    };
+    return colors;
+  }, Object.create(null));
+
+const getPrintFunctionName = options =>
+  options && options.printFunctionName !== undefined
+    ? options.printFunctionName
+    : DEFAULT_OPTIONS.printFunctionName;
+
+const getEscapeRegex = options =>
+  options && options.escapeRegex !== undefined
+    ? options.escapeRegex
+    : DEFAULT_OPTIONS.escapeRegex;
+
+const getEscapeString = options =>
+  options && options.escapeString !== undefined
+    ? options.escapeString
+    : DEFAULT_OPTIONS.escapeString;
+
+const getConfig = options => ({
+  callToJSON:
+    options && options.callToJSON !== undefined
+      ? options.callToJSON
+      : DEFAULT_OPTIONS.callToJSON,
+  colors:
+    options && options.highlight
+      ? getColorsHighlight(options)
+      : getColorsEmpty(),
+  escapeRegex: getEscapeRegex(options),
+  escapeString: getEscapeString(options),
+  indent:
+    options && options.min
+      ? ''
+      : createIndent(
+          options && options.indent !== undefined
+            ? options.indent
+            : DEFAULT_OPTIONS.indent
+        ),
+  maxDepth:
+    options && options.maxDepth !== undefined
+      ? options.maxDepth
+      : DEFAULT_OPTIONS.maxDepth,
+  min: options && options.min !== undefined ? options.min : DEFAULT_OPTIONS.min,
+  plugins:
+    options && options.plugins !== undefined
+      ? options.plugins
+      : DEFAULT_OPTIONS.plugins,
+  printFunctionName: getPrintFunctionName(options),
+  spacingInner: options && options.min ? ' ' : '\n',
+  spacingOuter: options && options.min ? '' : '\n'
+});
+
+function createIndent(indent) {
+  return new Array(indent + 1).join(' ');
+}
+/**
+ * Returns a presentation string of your `val` object
+ * @param val any potential JavaScript object
+ * @param options Custom settings
+ */
+
+function prettyFormat(val, options) {
+  if (options) {
+    validateOptions(options);
+
+    if (options.plugins) {
+      const plugin = findPlugin(options.plugins, val);
+
+      if (plugin !== null) {
+        return printPlugin(plugin, val, getConfig(options), '', 0, []);
+      }
+    }
+  }
+
+  const basicResult = printBasicValue(
+    val,
+    getPrintFunctionName(options),
+    getEscapeRegex(options),
+    getEscapeString(options)
+  );
+
+  if (basicResult !== null) {
+    return basicResult;
+  }
+
+  return printComplexValue(val, getConfig(options), '', 0, []);
+}
+
+prettyFormat.plugins = {
+  AsymmetricMatcher: _AsymmetricMatcher.default,
+  ConvertAnsi: _ConvertAnsi.default,
+  DOMCollection: _DOMCollection.default,
+  DOMElement: _DOMElement.default,
+  Immutable: _Immutable.default,
+  ReactElement: _ReactElement.default,
+  ReactTestComponent: _ReactTestComponent.default
+}; // eslint-disable-next-line no-redeclare
+
+module.exports = prettyFormat;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/AsymmetricMatcher.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/AsymmetricMatcher.d.ts
new file mode 100644
index 000000000..fd2531b88
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/AsymmetricMatcher.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { NewPlugin } from '../types';
+export declare const serialize: NewPlugin['serialize'];
+export declare const test: NewPlugin['test'];
+declare const plugin: NewPlugin;
+export default plugin;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/AsymmetricMatcher.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/AsymmetricMatcher.js
new file mode 100644
index 000000000..a09dec215
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/AsymmetricMatcher.js
@@ -0,0 +1,103 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = exports.test = exports.serialize = void 0;
+
+var _collections = require('../collections');
+
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+const asymmetricMatcher =
+  typeof Symbol === 'function' && Symbol.for
+    ? Symbol.for('jest.asymmetricMatcher')
+    : 0x1357a5;
+const SPACE = ' ';
+
+const serialize = (val, config, indentation, depth, refs, printer) => {
+  const stringedValue = val.toString();
+
+  if (
+    stringedValue === 'ArrayContaining' ||
+    stringedValue === 'ArrayNotContaining'
+  ) {
+    if (++depth > config.maxDepth) {
+      return '[' + stringedValue + ']';
+    }
+
+    return (
+      stringedValue +
+      SPACE +
+      '[' +
+      (0, _collections.printListItems)(
+        val.sample,
+        config,
+        indentation,
+        depth,
+        refs,
+        printer
+      ) +
+      ']'
+    );
+  }
+
+  if (
+    stringedValue === 'ObjectContaining' ||
+    stringedValue === 'ObjectNotContaining'
+  ) {
+    if (++depth > config.maxDepth) {
+      return '[' + stringedValue + ']';
+    }
+
+    return (
+      stringedValue +
+      SPACE +
+      '{' +
+      (0, _collections.printObjectProperties)(
+        val.sample,
+        config,
+        indentation,
+        depth,
+        refs,
+        printer
+      ) +
+      '}'
+    );
+  }
+
+  if (
+    stringedValue === 'StringMatching' ||
+    stringedValue === 'StringNotMatching'
+  ) {
+    return (
+      stringedValue +
+      SPACE +
+      printer(val.sample, config, indentation, depth, refs)
+    );
+  }
+
+  if (
+    stringedValue === 'StringContaining' ||
+    stringedValue === 'StringNotContaining'
+  ) {
+    return (
+      stringedValue +
+      SPACE +
+      printer(val.sample, config, indentation, depth, refs)
+    );
+  }
+
+  return val.toAsymmetricMatcher();
+};
+
+exports.serialize = serialize;
+
+const test = val => val && val.$$typeof === asymmetricMatcher;
+
+exports.test = test;
+const plugin = {
+  serialize,
+  test
+};
+var _default = plugin;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ConvertAnsi.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ConvertAnsi.d.ts
new file mode 100644
index 000000000..bb0f507b7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ConvertAnsi.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { NewPlugin } from '../types';
+export declare const test: NewPlugin['test'];
+export declare const serialize: NewPlugin['serialize'];
+declare const plugin: NewPlugin;
+export default plugin;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ConvertAnsi.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ConvertAnsi.js
new file mode 100644
index 000000000..3d2d8fcbe
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ConvertAnsi.js
@@ -0,0 +1,96 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = exports.serialize = exports.test = void 0;
+
+var _ansiRegex = _interopRequireDefault(require('ansi-regex'));
+
+var _ansiStyles = _interopRequireDefault(require('ansi-styles'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const toHumanReadableAnsi = text =>
+  text.replace((0, _ansiRegex.default)(), match => {
+    switch (match) {
+      case _ansiStyles.default.red.close:
+      case _ansiStyles.default.green.close:
+      case _ansiStyles.default.cyan.close:
+      case _ansiStyles.default.gray.close:
+      case _ansiStyles.default.white.close:
+      case _ansiStyles.default.yellow.close:
+      case _ansiStyles.default.bgRed.close:
+      case _ansiStyles.default.bgGreen.close:
+      case _ansiStyles.default.bgYellow.close:
+      case _ansiStyles.default.inverse.close:
+      case _ansiStyles.default.dim.close:
+      case _ansiStyles.default.bold.close:
+      case _ansiStyles.default.reset.open:
+      case _ansiStyles.default.reset.close:
+        return '</>';
+
+      case _ansiStyles.default.red.open:
+        return '<red>';
+
+      case _ansiStyles.default.green.open:
+        return '<green>';
+
+      case _ansiStyles.default.cyan.open:
+        return '<cyan>';
+
+      case _ansiStyles.default.gray.open:
+        return '<gray>';
+
+      case _ansiStyles.default.white.open:
+        return '<white>';
+
+      case _ansiStyles.default.yellow.open:
+        return '<yellow>';
+
+      case _ansiStyles.default.bgRed.open:
+        return '<bgRed>';
+
+      case _ansiStyles.default.bgGreen.open:
+        return '<bgGreen>';
+
+      case _ansiStyles.default.bgYellow.open:
+        return '<bgYellow>';
+
+      case _ansiStyles.default.inverse.open:
+        return '<inverse>';
+
+      case _ansiStyles.default.dim.open:
+        return '<dim>';
+
+      case _ansiStyles.default.bold.open:
+        return '<bold>';
+
+      default:
+        return '';
+    }
+  });
+
+const test = val =>
+  typeof val === 'string' && !!val.match((0, _ansiRegex.default)());
+
+exports.test = test;
+
+const serialize = (val, config, indentation, depth, refs, printer) =>
+  printer(toHumanReadableAnsi(val), config, indentation, depth, refs);
+
+exports.serialize = serialize;
+const plugin = {
+  serialize,
+  test
+};
+var _default = plugin;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMCollection.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMCollection.d.ts
new file mode 100644
index 000000000..bb0f507b7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMCollection.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { NewPlugin } from '../types';
+export declare const test: NewPlugin['test'];
+export declare const serialize: NewPlugin['serialize'];
+declare const plugin: NewPlugin;
+export default plugin;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMCollection.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMCollection.js
new file mode 100644
index 000000000..f25655138
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMCollection.js
@@ -0,0 +1,78 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = exports.serialize = exports.test = void 0;
+
+var _collections = require('../collections');
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const SPACE = ' ';
+const OBJECT_NAMES = ['DOMStringMap', 'NamedNodeMap'];
+const ARRAY_REGEXP = /^(HTML\w*Collection|NodeList)$/;
+
+const testName = name =>
+  OBJECT_NAMES.indexOf(name) !== -1 || ARRAY_REGEXP.test(name);
+
+const test = val =>
+  val &&
+  val.constructor &&
+  !!val.constructor.name &&
+  testName(val.constructor.name);
+
+exports.test = test;
+
+const isNamedNodeMap = collection =>
+  collection.constructor.name === 'NamedNodeMap';
+
+const serialize = (collection, config, indentation, depth, refs, printer) => {
+  const name = collection.constructor.name;
+
+  if (++depth > config.maxDepth) {
+    return '[' + name + ']';
+  }
+
+  return (
+    (config.min ? '' : name + SPACE) +
+    (OBJECT_NAMES.indexOf(name) !== -1
+      ? '{' +
+        (0, _collections.printObjectProperties)(
+          isNamedNodeMap(collection)
+            ? Array.from(collection).reduce((props, attribute) => {
+                props[attribute.name] = attribute.value;
+                return props;
+              }, {})
+            : {...collection},
+          config,
+          indentation,
+          depth,
+          refs,
+          printer
+        ) +
+        '}'
+      : '[' +
+        (0, _collections.printListItems)(
+          Array.from(collection),
+          config,
+          indentation,
+          depth,
+          refs,
+          printer
+        ) +
+        ']')
+  );
+};
+
+exports.serialize = serialize;
+const plugin = {
+  serialize,
+  test
+};
+var _default = plugin;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMElement.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMElement.d.ts
new file mode 100644
index 000000000..bb0f507b7
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMElement.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { NewPlugin } from '../types';
+export declare const test: NewPlugin['test'];
+export declare const serialize: NewPlugin['serialize'];
+declare const plugin: NewPlugin;
+export default plugin;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMElement.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMElement.js
new file mode 100644
index 000000000..ffa2d32e0
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/DOMElement.js
@@ -0,0 +1,104 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = exports.serialize = exports.test = void 0;
+
+var _markup = require('./lib/markup');
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const ELEMENT_NODE = 1;
+const TEXT_NODE = 3;
+const COMMENT_NODE = 8;
+const FRAGMENT_NODE = 11;
+const ELEMENT_REGEXP = /^((HTML|SVG)\w*)?Element$/;
+
+const testNode = (nodeType, name) =>
+  (nodeType === ELEMENT_NODE && ELEMENT_REGEXP.test(name)) ||
+  (nodeType === TEXT_NODE && name === 'Text') ||
+  (nodeType === COMMENT_NODE && name === 'Comment') ||
+  (nodeType === FRAGMENT_NODE && name === 'DocumentFragment');
+
+const test = val =>
+  val &&
+  val.constructor &&
+  val.constructor.name &&
+  testNode(val.nodeType, val.constructor.name);
+
+exports.test = test;
+
+function nodeIsText(node) {
+  return node.nodeType === TEXT_NODE;
+}
+
+function nodeIsComment(node) {
+  return node.nodeType === COMMENT_NODE;
+}
+
+function nodeIsFragment(node) {
+  return node.nodeType === FRAGMENT_NODE;
+}
+
+const serialize = (node, config, indentation, depth, refs, printer) => {
+  if (nodeIsText(node)) {
+    return (0, _markup.printText)(node.data, config);
+  }
+
+  if (nodeIsComment(node)) {
+    return (0, _markup.printComment)(node.data, config);
+  }
+
+  const type = nodeIsFragment(node)
+    ? `DocumentFragment`
+    : node.tagName.toLowerCase();
+
+  if (++depth > config.maxDepth) {
+    return (0, _markup.printElementAsLeaf)(type, config);
+  }
+
+  return (0, _markup.printElement)(
+    type,
+    (0, _markup.printProps)(
+      nodeIsFragment(node)
+        ? []
+        : Array.from(node.attributes)
+            .map(attr => attr.name)
+            .sort(),
+      nodeIsFragment(node)
+        ? {}
+        : Array.from(node.attributes).reduce((props, attribute) => {
+            props[attribute.name] = attribute.value;
+            return props;
+          }, {}),
+      config,
+      indentation + config.indent,
+      depth,
+      refs,
+      printer
+    ),
+    (0, _markup.printChildren)(
+      Array.prototype.slice.call(node.childNodes || node.children),
+      config,
+      indentation + config.indent,
+      depth,
+      refs,
+      printer
+    ),
+    config,
+    indentation
+  );
+};
+
+exports.serialize = serialize;
+const plugin = {
+  serialize,
+  test
+};
+var _default = plugin;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/Immutable.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/Immutable.d.ts
new file mode 100644
index 000000000..fd2531b88
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/Immutable.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { NewPlugin } from '../types';
+export declare const serialize: NewPlugin['serialize'];
+export declare const test: NewPlugin['test'];
+declare const plugin: NewPlugin;
+export default plugin;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/Immutable.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/Immutable.js
new file mode 100644
index 000000000..92684017d
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/Immutable.js
@@ -0,0 +1,247 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = exports.test = exports.serialize = void 0;
+
+var _collections = require('../collections');
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// SENTINEL constants are from https://github.com/facebook/immutable-js
+const IS_ITERABLE_SENTINEL = '@@__IMMUTABLE_ITERABLE__@@';
+const IS_LIST_SENTINEL = '@@__IMMUTABLE_LIST__@@';
+const IS_KEYED_SENTINEL = '@@__IMMUTABLE_KEYED__@@';
+const IS_MAP_SENTINEL = '@@__IMMUTABLE_MAP__@@';
+const IS_ORDERED_SENTINEL = '@@__IMMUTABLE_ORDERED__@@';
+const IS_RECORD_SENTINEL = '@@__IMMUTABLE_RECORD__@@'; // immutable v4
+
+const IS_SEQ_SENTINEL = '@@__IMMUTABLE_SEQ__@@';
+const IS_SET_SENTINEL = '@@__IMMUTABLE_SET__@@';
+const IS_STACK_SENTINEL = '@@__IMMUTABLE_STACK__@@';
+
+const getImmutableName = name => 'Immutable.' + name;
+
+const printAsLeaf = name => '[' + name + ']';
+
+const SPACE = ' ';
+const LAZY = '…'; // Seq is lazy if it calls a method like filter
+
+const printImmutableEntries = (
+  val,
+  config,
+  indentation,
+  depth,
+  refs,
+  printer,
+  type
+) =>
+  ++depth > config.maxDepth
+    ? printAsLeaf(getImmutableName(type))
+    : getImmutableName(type) +
+      SPACE +
+      '{' +
+      (0, _collections.printIteratorEntries)(
+        val.entries(),
+        config,
+        indentation,
+        depth,
+        refs,
+        printer
+      ) +
+      '}'; // Record has an entries method because it is a collection in immutable v3.
+// Return an iterator for Immutable Record from version v3 or v4.
+
+function getRecordEntries(val) {
+  let i = 0;
+  return {
+    next() {
+      if (i < val._keys.length) {
+        const key = val._keys[i++];
+        return {
+          done: false,
+          value: [key, val.get(key)]
+        };
+      }
+
+      return {
+        done: true,
+        value: undefined
+      };
+    }
+  };
+}
+
+const printImmutableRecord = (
+  val,
+  config,
+  indentation,
+  depth,
+  refs,
+  printer
+) => {
+  // _name property is defined only for an Immutable Record instance
+  // which was constructed with a second optional descriptive name arg
+  const name = getImmutableName(val._name || 'Record');
+  return ++depth > config.maxDepth
+    ? printAsLeaf(name)
+    : name +
+        SPACE +
+        '{' +
+        (0, _collections.printIteratorEntries)(
+          getRecordEntries(val),
+          config,
+          indentation,
+          depth,
+          refs,
+          printer
+        ) +
+        '}';
+};
+
+const printImmutableSeq = (val, config, indentation, depth, refs, printer) => {
+  const name = getImmutableName('Seq');
+
+  if (++depth > config.maxDepth) {
+    return printAsLeaf(name);
+  }
+
+  if (val[IS_KEYED_SENTINEL]) {
+    return (
+      name +
+      SPACE +
+      '{' + // from Immutable collection of entries or from ECMAScript object
+      (val._iter || val._object
+        ? (0, _collections.printIteratorEntries)(
+            val.entries(),
+            config,
+            indentation,
+            depth,
+            refs,
+            printer
+          )
+        : LAZY) +
+      '}'
+    );
+  }
+
+  return (
+    name +
+    SPACE +
+    '[' +
+    (val._iter || // from Immutable collection of values
+    val._array || // from ECMAScript array
+    val._collection || // from ECMAScript collection in immutable v4
+    val._iterable // from ECMAScript collection in immutable v3
+      ? (0, _collections.printIteratorValues)(
+          val.values(),
+          config,
+          indentation,
+          depth,
+          refs,
+          printer
+        )
+      : LAZY) +
+    ']'
+  );
+};
+
+const printImmutableValues = (
+  val,
+  config,
+  indentation,
+  depth,
+  refs,
+  printer,
+  type
+) =>
+  ++depth > config.maxDepth
+    ? printAsLeaf(getImmutableName(type))
+    : getImmutableName(type) +
+      SPACE +
+      '[' +
+      (0, _collections.printIteratorValues)(
+        val.values(),
+        config,
+        indentation,
+        depth,
+        refs,
+        printer
+      ) +
+      ']';
+
+const serialize = (val, config, indentation, depth, refs, printer) => {
+  if (val[IS_MAP_SENTINEL]) {
+    return printImmutableEntries(
+      val,
+      config,
+      indentation,
+      depth,
+      refs,
+      printer,
+      val[IS_ORDERED_SENTINEL] ? 'OrderedMap' : 'Map'
+    );
+  }
+
+  if (val[IS_LIST_SENTINEL]) {
+    return printImmutableValues(
+      val,
+      config,
+      indentation,
+      depth,
+      refs,
+      printer,
+      'List'
+    );
+  }
+
+  if (val[IS_SET_SENTINEL]) {
+    return printImmutableValues(
+      val,
+      config,
+      indentation,
+      depth,
+      refs,
+      printer,
+      val[IS_ORDERED_SENTINEL] ? 'OrderedSet' : 'Set'
+    );
+  }
+
+  if (val[IS_STACK_SENTINEL]) {
+    return printImmutableValues(
+      val,
+      config,
+      indentation,
+      depth,
+      refs,
+      printer,
+      'Stack'
+    );
+  }
+
+  if (val[IS_SEQ_SENTINEL]) {
+    return printImmutableSeq(val, config, indentation, depth, refs, printer);
+  } // For compatibility with immutable v3 and v4, let record be the default.
+
+  return printImmutableRecord(val, config, indentation, depth, refs, printer);
+}; // Explicitly comparing sentinel properties to true avoids false positive
+// when mock identity-obj-proxy returns the key as the value for any key.
+
+exports.serialize = serialize;
+
+const test = val =>
+  val &&
+  (val[IS_ITERABLE_SENTINEL] === true || val[IS_RECORD_SENTINEL] === true);
+
+exports.test = test;
+const plugin = {
+  serialize,
+  test
+};
+var _default = plugin;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactElement.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactElement.d.ts
new file mode 100644
index 000000000..fd2531b88
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactElement.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { NewPlugin } from '../types';
+export declare const serialize: NewPlugin['serialize'];
+export declare const test: NewPlugin['test'];
+declare const plugin: NewPlugin;
+export default plugin;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactElement.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactElement.js
new file mode 100644
index 000000000..ad2cca083
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactElement.js
@@ -0,0 +1,166 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = exports.test = exports.serialize = void 0;
+
+var ReactIs = _interopRequireWildcard(require('react-is'));
+
+var _markup = require('./lib/markup');
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// Given element.props.children, or subtree during recursive traversal,
+// return flattened array of children.
+const getChildren = (arg, children = []) => {
+  if (Array.isArray(arg)) {
+    arg.forEach(item => {
+      getChildren(item, children);
+    });
+  } else if (arg != null && arg !== false) {
+    children.push(arg);
+  }
+
+  return children;
+};
+
+const getType = element => {
+  const type = element.type;
+
+  if (typeof type === 'string') {
+    return type;
+  }
+
+  if (typeof type === 'function') {
+    return type.displayName || type.name || 'Unknown';
+  }
+
+  if (ReactIs.isFragment(element)) {
+    return 'React.Fragment';
+  }
+
+  if (ReactIs.isSuspense(element)) {
+    return 'React.Suspense';
+  }
+
+  if (typeof type === 'object' && type !== null) {
+    if (ReactIs.isContextProvider(element)) {
+      return 'Context.Provider';
+    }
+
+    if (ReactIs.isContextConsumer(element)) {
+      return 'Context.Consumer';
+    }
+
+    if (ReactIs.isForwardRef(element)) {
+      if (type.displayName) {
+        return type.displayName;
+      }
+
+      const functionName = type.render.displayName || type.render.name || '';
+      return functionName !== ''
+        ? 'ForwardRef(' + functionName + ')'
+        : 'ForwardRef';
+    }
+
+    if (ReactIs.isMemo(element)) {
+      const functionName =
+        type.displayName || type.type.displayName || type.type.name || '';
+      return functionName !== '' ? 'Memo(' + functionName + ')' : 'Memo';
+    }
+  }
+
+  return 'UNDEFINED';
+};
+
+const getPropKeys = element => {
+  const {props} = element;
+  return Object.keys(props)
+    .filter(key => key !== 'children' && props[key] !== undefined)
+    .sort();
+};
+
+const serialize = (element, config, indentation, depth, refs, printer) =>
+  ++depth > config.maxDepth
+    ? (0, _markup.printElementAsLeaf)(getType(element), config)
+    : (0, _markup.printElement)(
+        getType(element),
+        (0, _markup.printProps)(
+          getPropKeys(element),
+          element.props,
+          config,
+          indentation + config.indent,
+          depth,
+          refs,
+          printer
+        ),
+        (0, _markup.printChildren)(
+          getChildren(element.props.children),
+          config,
+          indentation + config.indent,
+          depth,
+          refs,
+          printer
+        ),
+        config,
+        indentation
+      );
+
+exports.serialize = serialize;
+
+const test = val => val && ReactIs.isElement(val);
+
+exports.test = test;
+const plugin = {
+  serialize,
+  test
+};
+var _default = plugin;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactTestComponent.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactTestComponent.d.ts
new file mode 100644
index 000000000..91542d985
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactTestComponent.d.ts
@@ -0,0 +1,18 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { NewPlugin } from '../types';
+export declare type ReactTestObject = {
+    $$typeof: symbol;
+    type: string;
+    props?: Record<string, unknown>;
+    children?: null | Array<ReactTestChild>;
+};
+declare type ReactTestChild = ReactTestObject | string | number;
+export declare const serialize: NewPlugin['serialize'];
+export declare const test: NewPlugin['test'];
+declare const plugin: NewPlugin;
+export default plugin;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactTestComponent.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactTestComponent.js
new file mode 100644
index 000000000..9399f78b0
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/ReactTestComponent.js
@@ -0,0 +1,65 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = exports.test = exports.serialize = void 0;
+
+var _markup = require('./lib/markup');
+
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+const testSymbol =
+  typeof Symbol === 'function' && Symbol.for
+    ? Symbol.for('react.test.json')
+    : 0xea71357;
+
+const getPropKeys = object => {
+  const {props} = object;
+  return props
+    ? Object.keys(props)
+        .filter(key => props[key] !== undefined)
+        .sort()
+    : [];
+};
+
+const serialize = (object, config, indentation, depth, refs, printer) =>
+  ++depth > config.maxDepth
+    ? (0, _markup.printElementAsLeaf)(object.type, config)
+    : (0, _markup.printElement)(
+        object.type,
+        object.props
+          ? (0, _markup.printProps)(
+              getPropKeys(object),
+              object.props,
+              config,
+              indentation + config.indent,
+              depth,
+              refs,
+              printer
+            )
+          : '',
+        object.children
+          ? (0, _markup.printChildren)(
+              object.children,
+              config,
+              indentation + config.indent,
+              depth,
+              refs,
+              printer
+            )
+          : '',
+        config,
+        indentation
+      );
+
+exports.serialize = serialize;
+
+const test = val => val && val.$$typeof === testSymbol;
+
+exports.test = test;
+const plugin = {
+  serialize,
+  test
+};
+var _default = plugin;
+exports.default = _default;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/escapeHTML.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/escapeHTML.d.ts
new file mode 100644
index 000000000..aee0d3d06
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/escapeHTML.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function escapeHTML(str: string): string;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/escapeHTML.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/escapeHTML.js
new file mode 100644
index 000000000..50dda2590
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/escapeHTML.js
@@ -0,0 +1,16 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = escapeHTML;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function escapeHTML(str) {
+  return str.replace(/</g, '&lt;').replace(/>/g, '&gt;');
+}
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/markup.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/markup.d.ts
new file mode 100644
index 000000000..bf662a691
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/markup.d.ts
@@ -0,0 +1,13 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config, Printer, Refs } from '../../types';
+export declare const printProps: (keys: string[], props: Record<string, unknown>, config: Config, indentation: string, depth: number, refs: Refs, printer: Printer) => string;
+export declare const printChildren: (children: any[], config: Config, indentation: string, depth: number, refs: Refs, printer: Printer) => string;
+export declare const printText: (text: string, config: Config) => string;
+export declare const printComment: (comment: string, config: Config) => string;
+export declare const printElement: (type: string, printedProps: string, printedChildren: string, config: Config, indentation: string) => string;
+export declare const printElementAsLeaf: (type: string, config: Config) => string;
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/markup.js b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/markup.js
new file mode 100644
index 000000000..d47b88f7b
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/plugins/lib/markup.js
@@ -0,0 +1,147 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.printElementAsLeaf = exports.printElement = exports.printComment = exports.printText = exports.printChildren = exports.printProps = void 0;
+
+var _escapeHTML = _interopRequireDefault(require('./escapeHTML'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// Return empty string if keys is empty.
+const printProps = (keys, props, config, indentation, depth, refs, printer) => {
+  const indentationNext = indentation + config.indent;
+  const colors = config.colors;
+  return keys
+    .map(key => {
+      const value = props[key];
+      let printed = printer(value, config, indentationNext, depth, refs);
+
+      if (typeof value !== 'string') {
+        if (printed.indexOf('\n') !== -1) {
+          printed =
+            config.spacingOuter +
+            indentationNext +
+            printed +
+            config.spacingOuter +
+            indentation;
+        }
+
+        printed = '{' + printed + '}';
+      }
+
+      return (
+        config.spacingInner +
+        indentation +
+        colors.prop.open +
+        key +
+        colors.prop.close +
+        '=' +
+        colors.value.open +
+        printed +
+        colors.value.close
+      );
+    })
+    .join('');
+}; // Return empty string if children is empty.
+
+exports.printProps = printProps;
+
+const printChildren = (children, config, indentation, depth, refs, printer) =>
+  children
+    .map(
+      child =>
+        config.spacingOuter +
+        indentation +
+        (typeof child === 'string'
+          ? printText(child, config)
+          : printer(child, config, indentation, depth, refs))
+    )
+    .join('');
+
+exports.printChildren = printChildren;
+
+const printText = (text, config) => {
+  const contentColor = config.colors.content;
+  return (
+    contentColor.open + (0, _escapeHTML.default)(text) + contentColor.close
+  );
+};
+
+exports.printText = printText;
+
+const printComment = (comment, config) => {
+  const commentColor = config.colors.comment;
+  return (
+    commentColor.open +
+    '<!--' +
+    (0, _escapeHTML.default)(comment) +
+    '-->' +
+    commentColor.close
+  );
+}; // Separate the functions to format props, children, and element,
+// so a plugin could override a particular function, if needed.
+// Too bad, so sad: the traditional (but unnecessary) space
+// in a self-closing tagColor requires a second test of printedProps.
+
+exports.printComment = printComment;
+
+const printElement = (
+  type,
+  printedProps,
+  printedChildren,
+  config,
+  indentation
+) => {
+  const tagColor = config.colors.tag;
+  return (
+    tagColor.open +
+    '<' +
+    type +
+    (printedProps &&
+      tagColor.close +
+        printedProps +
+        config.spacingOuter +
+        indentation +
+        tagColor.open) +
+    (printedChildren
+      ? '>' +
+        tagColor.close +
+        printedChildren +
+        config.spacingOuter +
+        indentation +
+        tagColor.open +
+        '</' +
+        type
+      : (printedProps && !config.min ? '' : ' ') + '/') +
+    '>' +
+    tagColor.close
+  );
+};
+
+exports.printElement = printElement;
+
+const printElementAsLeaf = (type, config) => {
+  const tagColor = config.colors.tag;
+  return (
+    tagColor.open +
+    '<' +
+    type +
+    tagColor.close +
+    ' …' +
+    tagColor.open +
+    ' />' +
+    tagColor.close
+  );
+};
+
+exports.printElementAsLeaf = printElementAsLeaf;
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/collections.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/collections.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/collections.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/collections.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/index.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/index.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/index.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/index.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/AsymmetricMatcher.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/AsymmetricMatcher.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/AsymmetricMatcher.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/AsymmetricMatcher.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/ConvertAnsi.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/ConvertAnsi.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/ConvertAnsi.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/ConvertAnsi.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/DOMCollection.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/DOMCollection.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/DOMCollection.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/DOMCollection.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/DOMElement.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/DOMElement.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/DOMElement.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/DOMElement.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/Immutable.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/Immutable.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/Immutable.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/Immutable.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/ReactElement.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/ReactElement.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/ReactElement.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/ReactElement.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/ReactTestComponent.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/ReactTestComponent.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/ReactTestComponent.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/ReactTestComponent.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/lib/escapeHTML.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/lib/escapeHTML.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/lib/escapeHTML.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/lib/escapeHTML.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/lib/markup.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/lib/markup.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/plugins/lib/markup.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/plugins/lib/markup.d.ts
diff --git a/node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/types.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/types.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/pretty-format/build/ts3.4/types.d.ts
rename to node_modules/@jest/core/node_modules/pretty-format/build/ts3.4/types.d.ts
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/types.d.ts b/node_modules/@jest/core/node_modules/pretty-format/build/types.d.ts
new file mode 100644
index 000000000..5f1e06dbd
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/types.d.ts
@@ -0,0 +1,100 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare type Colors = {
+    comment: {
+        close: string;
+        open: string;
+    };
+    content: {
+        close: string;
+        open: string;
+    };
+    prop: {
+        close: string;
+        open: string;
+    };
+    tag: {
+        close: string;
+        open: string;
+    };
+    value: {
+        close: string;
+        open: string;
+    };
+};
+declare type Indent = (arg0: string) => string;
+export declare type Refs = Array<unknown>;
+declare type Print = (arg0: unknown) => string;
+export declare type Theme = {
+    comment: string;
+    content: string;
+    prop: string;
+    tag: string;
+    value: string;
+};
+declare type ThemeReceived = {
+    comment?: string;
+    content?: string;
+    prop?: string;
+    tag?: string;
+    value?: string;
+};
+export declare type Options = {
+    callToJSON: boolean;
+    escapeRegex: boolean;
+    escapeString: boolean;
+    highlight: boolean;
+    indent: number;
+    maxDepth: number;
+    min: boolean;
+    plugins: Plugins;
+    printFunctionName: boolean;
+    theme: Theme;
+};
+export declare type OptionsReceived = {
+    callToJSON?: boolean;
+    escapeRegex?: boolean;
+    escapeString?: boolean;
+    highlight?: boolean;
+    indent?: number;
+    maxDepth?: number;
+    min?: boolean;
+    plugins?: Plugins;
+    printFunctionName?: boolean;
+    theme?: ThemeReceived;
+};
+export declare type Config = {
+    callToJSON: boolean;
+    colors: Colors;
+    escapeRegex: boolean;
+    escapeString: boolean;
+    indent: string;
+    maxDepth: number;
+    min: boolean;
+    plugins: Plugins;
+    printFunctionName: boolean;
+    spacingInner: string;
+    spacingOuter: string;
+};
+export declare type Printer = (val: unknown, config: Config, indentation: string, depth: number, refs: Refs, hasCalledToJSON?: boolean) => string;
+declare type Test = (arg0: any) => boolean;
+export declare type NewPlugin = {
+    serialize: (val: any, config: Config, indentation: string, depth: number, refs: Refs, printer: Printer) => string;
+    test: Test;
+};
+declare type PluginOptions = {
+    edgeSpacing: string;
+    min: boolean;
+    spacing: string;
+};
+export declare type OldPlugin = {
+    print: (val: unknown, print: Print, indent: Indent, options: PluginOptions, colors: Colors) => string;
+    test: Test;
+};
+export declare type Plugin = NewPlugin | OldPlugin;
+export declare type Plugins = Array<Plugin>;
+export {};
diff --git a/node_modules/@jest/core/node_modules/pretty-format/build/types.js b/node_modules/@jest/core/node_modules/pretty-format/build/types.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/build/types.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/core/node_modules/pretty-format/package.json b/node_modules/@jest/core/node_modules/pretty-format/package.json
new file mode 100644
index 000000000..d4ace1fec
--- /dev/null
+++ b/node_modules/@jest/core/node_modules/pretty-format/package.json
@@ -0,0 +1,81 @@
+{
+  "_args": [
+    [
+      "pretty-format@25.5.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "pretty-format@25.5.0",
+  "_id": "pretty-format@25.5.0",
+  "_inBundle": false,
+  "_integrity": "sha512-kbo/kq2LQ/A/is0PQwsEHM7Ca6//bGPPvU6UnsdDRSKTWxT/ru/xb88v4BJf6a69H+uTytOEsTusT9ksd/1iWQ==",
+  "_location": "/@jest/core/pretty-format",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "pretty-format@25.5.0",
+    "name": "pretty-format",
+    "escapedName": "pretty-format",
+    "rawSpec": "25.5.0",
+    "saveSpec": null,
+    "fetchSpec": "25.5.0"
+  },
+  "_requiredBy": [
+    "/@jest/core/jest-config",
+    "/@jest/core/jest-jasmine2"
+  ],
+  "_resolved": "https://registry.npmjs.org/pretty-format/-/pretty-format-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "James Kyle",
+    "email": "me@thejameskyle.com"
+  },
+  "browser": "build-es5/index.js",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/types": "^25.5.0",
+    "ansi-regex": "^5.0.0",
+    "ansi-styles": "^4.0.0",
+    "react-is": "^16.12.0"
+  },
+  "description": "Stringify any JavaScript value.",
+  "devDependencies": {
+    "@types/react": "*",
+    "@types/react-is": "^16.7.1",
+    "@types/react-test-renderer": "*",
+    "immutable": "4.0.0-rc.9",
+    "react": "*",
+    "react-dom": "*",
+    "react-test-renderer": "*"
+  },
+  "engines": {
+    "node": ">= 8.3"
+  },
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "pretty-format",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/pretty-format"
+  },
+  "types": "build/index.d.ts",
+  "typesVersions": {
+    "<3.8": {
+      "build/*": [
+        "build/ts3.4/*"
+      ]
+    }
+  },
+  "version": "25.5.0"
+}
diff --git a/node_modules/@jest/core/node_modules/supports-color/package.json b/node_modules/@jest/core/node_modules/supports-color/package.json
index 26a7c4d9a..1263636b9 100644
--- a/node_modules/@jest/core/node_modules/supports-color/package.json
+++ b/node_modules/@jest/core/node_modules/supports-color/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "supports-color@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/core/package.json b/node_modules/@jest/core/package.json
index c6931883b..9b0a4edc7 100644
--- a/node_modules/@jest/core/package.json
+++ b/node_modules/@jest/core/package.json
@@ -1,66 +1,106 @@
 {
   "_args": [
     [
-      "@jest/core@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/core@25.5.4",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/core@25.4.0",
-  "_id": "@jest/core@25.4.0",
+  "_from": "@jest/core@25.5.4",
+  "_id": "@jest/core@25.5.4",
   "_inBundle": false,
-  "_integrity": "sha512-h1x9WSVV0+TKVtATGjyQIMJENs8aF6eUjnCoi4jyRemYZmekLr8EJOGQqTWEX8W6SbZ6Skesy9pGXrKeAolUJw==",
+  "_integrity": "sha512-3uSo7laYxF00Dg/DMgbn4xMJKmDdWvZnf89n8Xj/5/AeQ2dOQmn6b6Hkj/MleyzZWXpwv+WSdYWl4cLsy2JsoA==",
   "_location": "/@jest/core",
   "_phantomChildren": {
+    "@babel/core": "7.5.5",
+    "@babel/traverse": "7.5.5",
+    "@jest/console": "25.5.0",
+    "@jest/environment": "25.5.0",
+    "@jest/globals": "25.5.2",
+    "@jest/source-map": "25.5.0",
+    "@jest/test-result": "25.5.0",
+    "@jest/transform": "25.5.1",
     "@types/color-name": "1.1.1",
     "@types/istanbul-lib-coverage": "2.0.1",
     "@types/istanbul-reports": "1.1.1",
-    "@types/yargs": "15.0.4"
+    "@types/yargs": "15.0.4",
+    "babel-jest": "25.5.1",
+    "co": "4.6.0",
+    "collect-v8-coverage": "1.0.0",
+    "deepmerge": "4.2.2",
+    "exit": "0.1.2",
+    "expect": "25.5.0",
+    "glob": "7.1.4",
+    "is-generator-fn": "2.1.0",
+    "jest-docblock": "25.3.0",
+    "jest-each": "25.5.0",
+    "jest-environment-jsdom": "25.5.0",
+    "jest-environment-node": "25.5.0",
+    "jest-get-type": "25.2.6",
+    "jest-haste-map": "25.5.1",
+    "jest-leak-detector": "25.5.0",
+    "jest-matcher-utils": "25.5.0",
+    "jest-message-util": "25.5.0",
+    "jest-mock": "25.5.0",
+    "jest-regex-util": "25.2.6",
+    "jest-resolve": "25.5.1",
+    "jest-snapshot": "25.5.1",
+    "jest-util": "25.5.0",
+    "jest-validate": "25.5.0",
+    "jest-worker": "25.5.0",
+    "micromatch": "4.0.2",
+    "react-is": "16.13.0",
+    "realpath-native": "2.0.0",
+    "slash": "3.0.0",
+    "source-map-support": "0.5.13",
+    "strip-bom": "4.0.0",
+    "throat": "5.0.0",
+    "yargs": "15.3.1"
   },
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/core@25.4.0",
+    "raw": "@jest/core@25.5.4",
     "name": "@jest/core",
     "escapedName": "@jest%2fcore",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.4",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.4"
   },
   "_requiredBy": [
     "/jest",
     "/jest/jest-cli"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/core/-/core-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/core/-/core-25.5.4.tgz",
+  "_spec": "25.5.4",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
-    "@jest/console": "^25.4.0",
-    "@jest/reporters": "^25.4.0",
-    "@jest/test-result": "^25.4.0",
-    "@jest/transform": "^25.4.0",
-    "@jest/types": "^25.4.0",
+    "@jest/console": "^25.5.0",
+    "@jest/reporters": "^25.5.1",
+    "@jest/test-result": "^25.5.0",
+    "@jest/transform": "^25.5.1",
+    "@jest/types": "^25.5.0",
     "ansi-escapes": "^4.2.1",
     "chalk": "^3.0.0",
     "exit": "^0.1.2",
-    "graceful-fs": "^4.2.3",
-    "jest-changed-files": "^25.4.0",
-    "jest-config": "^25.4.0",
-    "jest-haste-map": "^25.4.0",
-    "jest-message-util": "^25.4.0",
+    "graceful-fs": "^4.2.4",
+    "jest-changed-files": "^25.5.0",
+    "jest-config": "^25.5.4",
+    "jest-haste-map": "^25.5.1",
+    "jest-message-util": "^25.5.0",
     "jest-regex-util": "^25.2.6",
-    "jest-resolve": "^25.4.0",
-    "jest-resolve-dependencies": "^25.4.0",
-    "jest-runner": "^25.4.0",
-    "jest-runtime": "^25.4.0",
-    "jest-snapshot": "^25.4.0",
-    "jest-util": "^25.4.0",
-    "jest-validate": "^25.4.0",
-    "jest-watcher": "^25.4.0",
+    "jest-resolve": "^25.5.1",
+    "jest-resolve-dependencies": "^25.5.4",
+    "jest-runner": "^25.5.4",
+    "jest-runtime": "^25.5.4",
+    "jest-snapshot": "^25.5.1",
+    "jest-util": "^25.5.0",
+    "jest-validate": "^25.5.0",
+    "jest-watcher": "^25.5.0",
     "micromatch": "^4.0.2",
     "p-each-series": "^2.1.0",
     "realpath-native": "^2.0.0",
@@ -70,7 +110,7 @@
   },
   "description": "Delightful JavaScript Testing.",
   "devDependencies": {
-    "@jest/test-sequencer": "^25.4.0",
+    "@jest/test-sequencer": "^25.5.4",
     "@types/exit": "^0.1.30",
     "@types/graceful-fs": "^4.1.2",
     "@types/micromatch": "^4.0.0",
@@ -81,7 +121,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "389d13724bbf6bb64dcde9700a6ecea3333942db",
   "homepage": "https://jestjs.io/",
   "keywords": [
     "ava",
@@ -128,5 +168,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.4"
 }
diff --git a/node_modules/@jest/environment/build/index.d.ts b/node_modules/@jest/environment/build/index.d.ts
index 76a4ef094..cf46e963c 100644
--- a/node_modules/@jest/environment/build/index.d.ts
+++ b/node_modules/@jest/environment/build/index.d.ts
@@ -5,7 +5,6 @@
  * LICENSE file in the root directory of this source tree.
  */
 /// <reference types="node" />
-/// <reference types="jest" />
 import type { Context, Script } from 'vm';
 import type { Circus, Config, Global } from '@jest/types';
 import jestMock = require('jest-mock');
diff --git a/node_modules/@jest/environment/build/ts3.4/index.d.ts b/node_modules/@jest/environment/build/ts3.4/index.d.ts
index 81daed998..1cd63757a 100644
--- a/node_modules/@jest/environment/build/ts3.4/index.d.ts
+++ b/node_modules/@jest/environment/build/ts3.4/index.d.ts
@@ -1,5 +1,4 @@
 /// <reference types="node" />
-/// <reference types="jest" />
 /**
  * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
  *
@@ -7,7 +6,6 @@
  * LICENSE file in the root directory of this source tree.
  */
 /// <reference types="node" />
-/// <reference types="jest" />
 import { Context, Script } from 'vm';
 import { Circus, Config, Global } from '@jest/types';
 import jestMock = require('jest-mock');
diff --git a/node_modules/@jest/environment/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/environment/node_modules/@jest/types/build/Transform.d.ts
index ea3e511cb..af8063f7d 100644
--- a/node_modules/@jest/environment/node_modules/@jest/types/build/Transform.d.ts
+++ b/node_modules/@jest/environment/node_modules/@jest/types/build/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/environment/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/environment/node_modules/@jest/types/build/ts3.4/Transform.d.ts
index bcc63baf1..231ae24ca 100644
--- a/node_modules/@jest/environment/node_modules/@jest/types/build/ts3.4/Transform.d.ts
+++ b/node_modules/@jest/environment/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/environment/node_modules/@jest/types/package.json b/node_modules/@jest/environment/node_modules/@jest/types/package.json
index 221d0d59e..77d484dd9 100644
--- a/node_modules/@jest/environment/node_modules/@jest/types/package.json
+++ b/node_modules/@jest/environment/node_modules/@jest/types/package.json
@@ -1,34 +1,34 @@
 {
   "_args": [
     [
-      "@jest/types@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/types@25.4.0",
-  "_id": "@jest/types@25.4.0",
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-XBeaWNzw2PPnGW5aXvZt3+VO60M+34RY3XDsCK5tW7kyj3RK0XClRutCfjqcBuaR2aBQTbluEDME9b5MB9UAPw==",
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
   "_location": "/@jest/environment/@jest/types",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/types@25.4.0",
+    "raw": "@jest/types@25.5.0",
     "name": "@jest/types",
     "escapedName": "@jest%2ftypes",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/environment"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
@@ -44,7 +44,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -65,5 +65,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/environment/node_modules/ansi-styles/package.json b/node_modules/@jest/environment/node_modules/ansi-styles/package.json
index 68e4968d2..c19198271 100644
--- a/node_modules/@jest/environment/node_modules/ansi-styles/package.json
+++ b/node_modules/@jest/environment/node_modules/ansi-styles/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ansi-styles@4.2.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
   "_spec": "4.2.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/environment/node_modules/chalk/package.json b/node_modules/@jest/environment/node_modules/chalk/package.json
index 0907c4f9b..2c14f5bbd 100644
--- a/node_modules/@jest/environment/node_modules/chalk/package.json
+++ b/node_modules/@jest/environment/node_modules/chalk/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "chalk@3.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
   "_spec": "3.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/chalk/chalk/issues"
   },
diff --git a/node_modules/@jest/environment/node_modules/color-convert/package.json b/node_modules/@jest/environment/node_modules/color-convert/package.json
index 9d6da17ed..a31ac7205 100644
--- a/node_modules/@jest/environment/node_modules/color-convert/package.json
+++ b/node_modules/@jest/environment/node_modules/color-convert/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-convert@2.0.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
   "_spec": "2.0.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Heather Arthur",
     "email": "fayearthur@gmail.com"
diff --git a/node_modules/@jest/environment/node_modules/color-name/package.json b/node_modules/@jest/environment/node_modules/color-name/package.json
index dd578a4d9..207e74f86 100644
--- a/node_modules/@jest/environment/node_modules/color-name/package.json
+++ b/node_modules/@jest/environment/node_modules/color-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-name@1.1.4",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
   "_spec": "1.1.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "DY",
     "email": "dfcreative@gmail.com"
diff --git a/node_modules/@jest/environment/node_modules/has-flag/package.json b/node_modules/@jest/environment/node_modules/has-flag/package.json
index a6eeb8644..a5fac1f32 100644
--- a/node_modules/@jest/environment/node_modules/has-flag/package.json
+++ b/node_modules/@jest/environment/node_modules/has-flag/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "has-flag@4.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/environment/node_modules/supports-color/package.json b/node_modules/@jest/environment/node_modules/supports-color/package.json
index 89ad716b3..f2d9dfa35 100644
--- a/node_modules/@jest/environment/node_modules/supports-color/package.json
+++ b/node_modules/@jest/environment/node_modules/supports-color/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "supports-color@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/environment/package.json b/node_modules/@jest/environment/package.json
index 47ec693a7..0bbab6c14 100644
--- a/node_modules/@jest/environment/package.json
+++ b/node_modules/@jest/environment/package.json
@@ -1,15 +1,15 @@
 {
   "_args": [
     [
-      "@jest/environment@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/environment@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/environment@25.4.0",
-  "_id": "@jest/environment@25.4.0",
+  "_from": "@jest/environment@25.5.0",
+  "_id": "@jest/environment@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-KDctiak4mu7b4J6BIoN/+LUL3pscBzoUCP+EtSPd2tK9fqyDY5OF+CmkBywkFWezS9tyH5ACOQNtpjtueEDH6Q==",
+  "_integrity": "sha512-U2VXPEqL07E/V7pSZMSQCvV5Ea4lqOlT+0ZFijl/i316cRMHvZ4qC+jBdryd+lmRetjQo0YIQr6cVPNxxK87mA==",
   "_location": "/@jest/environment",
   "_phantomChildren": {
     "@types/color-name": "1.1.1",
@@ -20,32 +20,35 @@
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/environment@25.4.0",
+    "raw": "@jest/environment@25.5.0",
     "name": "@jest/environment",
     "escapedName": "@jest%2fenvironment",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
-    "/jest-circus",
+    "/@jest/core/jest-jasmine2",
+    "/@jest/core/jest-runner",
+    "/@jest/core/jest-runtime",
+    "/@jest/globals",
     "/jest-environment-jsdom",
     "/jest-environment-node",
-    "/jest-jasmine2",
-    "/jest-runner",
-    "/jest-runtime"
+    "/jest/jest-jasmine2",
+    "/jest/jest-runner",
+    "/jest/jest-runtime"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/environment/-/environment-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/environment/-/environment-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
-    "@jest/fake-timers": "^25.4.0",
-    "@jest/types": "^25.4.0",
-    "jest-mock": "^25.4.0"
+    "@jest/fake-timers": "^25.5.0",
+    "@jest/types": "^25.5.0",
+    "jest-mock": "^25.5.0"
   },
   "devDependencies": {
     "@types/node": "*"
@@ -53,7 +56,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -74,5 +77,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/fake-timers/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/fake-timers/node_modules/@jest/types/build/Transform.d.ts
index ea3e511cb..af8063f7d 100644
--- a/node_modules/@jest/fake-timers/node_modules/@jest/types/build/Transform.d.ts
+++ b/node_modules/@jest/fake-timers/node_modules/@jest/types/build/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/fake-timers/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/fake-timers/node_modules/@jest/types/build/ts3.4/Transform.d.ts
index bcc63baf1..231ae24ca 100644
--- a/node_modules/@jest/fake-timers/node_modules/@jest/types/build/ts3.4/Transform.d.ts
+++ b/node_modules/@jest/fake-timers/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/fake-timers/node_modules/@jest/types/package.json b/node_modules/@jest/fake-timers/node_modules/@jest/types/package.json
index ce8726495..42efee46a 100644
--- a/node_modules/@jest/fake-timers/node_modules/@jest/types/package.json
+++ b/node_modules/@jest/fake-timers/node_modules/@jest/types/package.json
@@ -1,34 +1,34 @@
 {
   "_args": [
     [
-      "@jest/types@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/types@25.4.0",
-  "_id": "@jest/types@25.4.0",
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-XBeaWNzw2PPnGW5aXvZt3+VO60M+34RY3XDsCK5tW7kyj3RK0XClRutCfjqcBuaR2aBQTbluEDME9b5MB9UAPw==",
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
   "_location": "/@jest/fake-timers/@jest/types",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/types@25.4.0",
+    "raw": "@jest/types@25.5.0",
     "name": "@jest/types",
     "escapedName": "@jest%2ftypes",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/fake-timers"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
@@ -44,7 +44,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -65,5 +65,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/fake-timers/node_modules/ansi-styles/package.json b/node_modules/@jest/fake-timers/node_modules/ansi-styles/package.json
index 3a3957898..d623fc92a 100644
--- a/node_modules/@jest/fake-timers/node_modules/ansi-styles/package.json
+++ b/node_modules/@jest/fake-timers/node_modules/ansi-styles/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ansi-styles@4.2.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
   "_spec": "4.2.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/fake-timers/node_modules/chalk/package.json b/node_modules/@jest/fake-timers/node_modules/chalk/package.json
index 737dca387..23516320a 100644
--- a/node_modules/@jest/fake-timers/node_modules/chalk/package.json
+++ b/node_modules/@jest/fake-timers/node_modules/chalk/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "chalk@3.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
   "_spec": "3.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/chalk/chalk/issues"
   },
diff --git a/node_modules/@jest/fake-timers/node_modules/color-convert/package.json b/node_modules/@jest/fake-timers/node_modules/color-convert/package.json
index 9d65e500b..b65faf46a 100644
--- a/node_modules/@jest/fake-timers/node_modules/color-convert/package.json
+++ b/node_modules/@jest/fake-timers/node_modules/color-convert/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-convert@2.0.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
   "_spec": "2.0.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Heather Arthur",
     "email": "fayearthur@gmail.com"
diff --git a/node_modules/@jest/fake-timers/node_modules/color-name/package.json b/node_modules/@jest/fake-timers/node_modules/color-name/package.json
index 2d215bdde..35bd93c64 100644
--- a/node_modules/@jest/fake-timers/node_modules/color-name/package.json
+++ b/node_modules/@jest/fake-timers/node_modules/color-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-name@1.1.4",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
   "_spec": "1.1.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "DY",
     "email": "dfcreative@gmail.com"
diff --git a/node_modules/@jest/fake-timers/node_modules/has-flag/package.json b/node_modules/@jest/fake-timers/node_modules/has-flag/package.json
index f8c5fb092..db03e017e 100644
--- a/node_modules/@jest/fake-timers/node_modules/has-flag/package.json
+++ b/node_modules/@jest/fake-timers/node_modules/has-flag/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "has-flag@4.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/fake-timers/node_modules/supports-color/package.json b/node_modules/@jest/fake-timers/node_modules/supports-color/package.json
index bb82644e0..05b1ea99a 100644
--- a/node_modules/@jest/fake-timers/node_modules/supports-color/package.json
+++ b/node_modules/@jest/fake-timers/node_modules/supports-color/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "supports-color@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/fake-timers/package.json b/node_modules/@jest/fake-timers/package.json
index 14f643e3a..c63e22941 100644
--- a/node_modules/@jest/fake-timers/package.json
+++ b/node_modules/@jest/fake-timers/package.json
@@ -1,15 +1,15 @@
 {
   "_args": [
     [
-      "@jest/fake-timers@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/fake-timers@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/fake-timers@25.4.0",
-  "_id": "@jest/fake-timers@25.4.0",
+  "_from": "@jest/fake-timers@25.5.0",
+  "_id": "@jest/fake-timers@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-lI9z+VOmVX4dPPFzyj0vm+UtaB8dCJJ852lcDnY0uCPRvZAaVGnMwBBc1wxtf+h7Vz6KszoOvKAt4QijDnHDkg==",
+  "_integrity": "sha512-9y2+uGnESw/oyOI3eww9yaxdZyHq7XvprfP/eeoCsjqKYts2yRlsHS/SgjPDV8FyMfn2nbMy8YzUk6nyvdLOpQ==",
   "_location": "/@jest/fake-timers",
   "_phantomChildren": {
     "@types/color-name": "1.1.1",
@@ -20,30 +20,30 @@
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/fake-timers@25.4.0",
+    "raw": "@jest/fake-timers@25.5.0",
     "name": "@jest/fake-timers",
     "escapedName": "@jest%2ffake-timers",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/environment",
     "/jest-environment-jsdom",
     "/jest-environment-node"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/fake-timers/-/fake-timers-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/fake-timers/-/fake-timers-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
-    "@jest/types": "^25.4.0",
-    "jest-message-util": "^25.4.0",
-    "jest-mock": "^25.4.0",
-    "jest-util": "^25.4.0",
+    "@jest/types": "^25.5.0",
+    "jest-message-util": "^25.5.0",
+    "jest-mock": "^25.5.0",
+    "jest-util": "^25.5.0",
     "lolex": "^5.0.0"
   },
   "devDependencies": {
@@ -53,7 +53,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -74,5 +74,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/globals/LICENSE b/node_modules/@jest/globals/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/globals/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/globals/build/index.d.ts b/node_modules/@jest/globals/build/index.d.ts
new file mode 100644
index 000000000..06ec26a0a
--- /dev/null
+++ b/node_modules/@jest/globals/build/index.d.ts
@@ -0,0 +1,23 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import importedExpect = require('expect');
+import type { Jest } from '@jest/environment';
+import type { Global } from '@jest/types';
+export declare const jest: Jest;
+export declare const expect: typeof importedExpect;
+export declare const it: Global.GlobalAdditions['it'];
+export declare const test: Global.GlobalAdditions['test'];
+export declare const fit: Global.GlobalAdditions['fit'];
+export declare const xit: Global.GlobalAdditions['xit'];
+export declare const xtest: Global.GlobalAdditions['xtest'];
+export declare const describe: Global.GlobalAdditions['describe'];
+export declare const xdescribe: Global.GlobalAdditions['xdescribe'];
+export declare const fdescribe: Global.GlobalAdditions['fdescribe'];
+export declare const beforeAll: Global.GlobalAdditions['beforeAll'];
+export declare const beforeEach: Global.GlobalAdditions['beforeEach'];
+export declare const afterEach: Global.GlobalAdditions['afterEach'];
+export declare const afterAll: Global.GlobalAdditions['afterAll'];
diff --git a/node_modules/@jest/globals/build/index.js b/node_modules/@jest/globals/build/index.js
new file mode 100644
index 000000000..06f90c10c
--- /dev/null
+++ b/node_modules/@jest/globals/build/index.js
@@ -0,0 +1,25 @@
+'use strict';
+
+function _expect() {
+  const data = _interopRequireDefault(require('expect'));
+
+  _expect = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+throw new Error(
+  'Do not import `@jest/globals` outside of the Jest test environment'
+);
diff --git a/node_modules/@jest/globals/build/ts3.4/index.d.ts b/node_modules/@jest/globals/build/ts3.4/index.d.ts
new file mode 100644
index 000000000..e0c9479ce
--- /dev/null
+++ b/node_modules/@jest/globals/build/ts3.4/index.d.ts
@@ -0,0 +1,23 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import importedExpect = require('expect');
+import { Jest } from '@jest/environment';
+import { Global } from '@jest/types';
+export declare const jest: Jest;
+export declare const expect: typeof importedExpect;
+export declare const it: Global.GlobalAdditions['it'];
+export declare const test: Global.GlobalAdditions['test'];
+export declare const fit: Global.GlobalAdditions['fit'];
+export declare const xit: Global.GlobalAdditions['xit'];
+export declare const xtest: Global.GlobalAdditions['xtest'];
+export declare const describe: Global.GlobalAdditions['describe'];
+export declare const xdescribe: Global.GlobalAdditions['xdescribe'];
+export declare const fdescribe: Global.GlobalAdditions['fdescribe'];
+export declare const beforeAll: Global.GlobalAdditions['beforeAll'];
+export declare const beforeEach: Global.GlobalAdditions['beforeEach'];
+export declare const afterEach: Global.GlobalAdditions['afterEach'];
+export declare const afterAll: Global.GlobalAdditions['afterAll'];
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/LICENSE b/node_modules/@jest/globals/node_modules/@jest/types/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/Circus.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/Circus.d.ts
new file mode 100644
index 000000000..4a6ad8926
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/Circus.d.ts
@@ -0,0 +1,176 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type * as Global from './Global';
+declare type Process = NodeJS.Process;
+export declare type DoneFn = Global.DoneFn;
+export declare type BlockFn = Global.BlockFn;
+export declare type BlockName = Global.BlockName;
+export declare type BlockMode = void | 'skip' | 'only' | 'todo';
+export declare type TestMode = BlockMode;
+export declare type TestName = Global.TestName;
+export declare type TestFn = Global.TestFn;
+export declare type HookFn = Global.HookFn;
+export declare type AsyncFn = TestFn | HookFn;
+export declare type SharedHookType = 'afterAll' | 'beforeAll';
+export declare type HookType = SharedHookType | 'afterEach' | 'beforeEach';
+export declare type TestContext = Record<string, any>;
+export declare type Exception = any;
+export declare type FormattedError = string;
+export declare type Hook = {
+    asyncError: Error;
+    fn: HookFn;
+    type: HookType;
+    parent: DescribeBlock;
+    timeout: number | undefined | null;
+};
+export interface EventHandler {
+    (event: AsyncEvent, state: State): void | Promise<void>;
+    (event: SyncEvent, state: State): void;
+}
+export declare type Event = SyncEvent | AsyncEvent;
+export declare type SyncEvent = {
+    asyncError: Error;
+    mode: BlockMode;
+    name: 'start_describe_definition';
+    blockName: BlockName;
+} | {
+    mode: BlockMode;
+    name: 'finish_describe_definition';
+    blockName: BlockName;
+} | {
+    asyncError: Error;
+    name: 'add_hook';
+    hookType: HookType;
+    fn: HookFn;
+    timeout: number | undefined;
+} | {
+    asyncError: Error;
+    name: 'add_test';
+    testName: TestName;
+    fn?: TestFn;
+    mode?: TestMode;
+    timeout: number | undefined;
+} | {
+    name: 'error';
+    error: Exception;
+};
+export declare type AsyncEvent = {
+    name: 'setup';
+    testNamePattern?: string;
+    parentProcess: Process;
+} | {
+    name: 'include_test_location_in_result';
+} | {
+    name: 'hook_start';
+    hook: Hook;
+} | {
+    name: 'hook_success';
+    describeBlock?: DescribeBlock;
+    test?: TestEntry;
+    hook: Hook;
+} | {
+    name: 'hook_failure';
+    error: string | Exception;
+    describeBlock?: DescribeBlock;
+    test?: TestEntry;
+    hook: Hook;
+} | {
+    name: 'test_fn_start';
+    test: TestEntry;
+} | {
+    name: 'test_fn_success';
+    test: TestEntry;
+} | {
+    name: 'test_fn_failure';
+    error: Exception;
+    test: TestEntry;
+} | {
+    name: 'test_retry';
+    test: TestEntry;
+} | {
+    name: 'test_start';
+    test: TestEntry;
+} | {
+    name: 'test_skip';
+    test: TestEntry;
+} | {
+    name: 'test_todo';
+    test: TestEntry;
+} | {
+    name: 'test_done';
+    test: TestEntry;
+} | {
+    name: 'run_describe_start';
+    describeBlock: DescribeBlock;
+} | {
+    name: 'run_describe_finish';
+    describeBlock: DescribeBlock;
+} | {
+    name: 'run_start';
+} | {
+    name: 'run_finish';
+} | {
+    name: 'teardown';
+};
+export declare type TestStatus = 'skip' | 'done' | 'todo';
+export declare type TestResult = {
+    duration?: number | null;
+    errors: Array<FormattedError>;
+    invocations: number;
+    status: TestStatus;
+    location?: {
+        column: number;
+        line: number;
+    } | null;
+    testPath: Array<TestName | BlockName>;
+};
+export declare type RunResult = {
+    unhandledErrors: Array<FormattedError>;
+    testResults: TestResults;
+};
+export declare type TestResults = Array<TestResult>;
+export declare type GlobalErrorHandlers = {
+    uncaughtException: Array<(exception: Exception) => void>;
+    unhandledRejection: Array<(exception: Exception, promise: Promise<any>) => void>;
+};
+export declare type State = {
+    currentDescribeBlock: DescribeBlock;
+    currentlyRunningTest?: TestEntry | null;
+    expand?: boolean;
+    hasFocusedTests: boolean;
+    originalGlobalErrorHandlers?: GlobalErrorHandlers;
+    parentProcess: Process | null;
+    rootDescribeBlock: DescribeBlock;
+    testNamePattern?: RegExp | null;
+    testTimeout: number;
+    unhandledErrors: Array<Exception>;
+    includeTestLocationInResult: boolean;
+};
+export declare type DescribeBlock = {
+    children: Array<DescribeBlock>;
+    hooks: Array<Hook>;
+    mode: BlockMode;
+    name: BlockName;
+    parent?: DescribeBlock;
+    tests: Array<TestEntry>;
+};
+export declare type TestError = Exception | Array<[Exception | undefined, Exception]>;
+export declare type TestEntry = {
+    asyncError: Exception;
+    errors: TestError;
+    fn?: TestFn;
+    invocations: number;
+    mode: TestMode;
+    name: TestName;
+    parent: DescribeBlock;
+    startedAt?: number | null;
+    duration?: number | null;
+    status?: TestStatus | null;
+    timeout?: number;
+};
+export {};
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/Circus.js b/node_modules/@jest/globals/node_modules/@jest/types/build/Circus.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/Circus.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/Config.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/Config.d.ts
new file mode 100644
index 000000000..f9f49a4d4
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/Config.d.ts
@@ -0,0 +1,419 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type { Arguments } from 'yargs';
+import type { ReportOptions } from 'istanbul-reports';
+import chalk = require('chalk');
+declare type CoverageProvider = 'babel' | 'v8';
+export declare type Path = string;
+export declare type Glob = string;
+export declare type HasteConfig = {
+    computeSha1?: boolean;
+    defaultPlatform?: string | null;
+    hasteImplModulePath?: string;
+    platforms?: Array<string>;
+    providesModuleNodeModules: Array<string>;
+    throwOnModuleCollision?: boolean;
+};
+export declare type ReporterConfig = [string, Record<string, unknown>];
+export declare type TransformerConfig = [string, Record<string, unknown>];
+export interface ConfigGlobals {
+    [K: string]: unknown;
+}
+export declare type DefaultOptions = {
+    automock: boolean;
+    bail: number;
+    browser: boolean;
+    cache: boolean;
+    cacheDirectory: Path;
+    changedFilesWithAncestor: boolean;
+    clearMocks: boolean;
+    collectCoverage: boolean;
+    coveragePathIgnorePatterns: Array<string>;
+    coverageReporters: Array<string | [string, any]>;
+    coverageProvider: CoverageProvider;
+    errorOnDeprecated: boolean;
+    expand: boolean;
+    forceCoverageMatch: Array<Glob>;
+    globals: ConfigGlobals;
+    haste: HasteConfig;
+    maxConcurrency: number;
+    maxWorkers: number | string;
+    moduleDirectories: Array<string>;
+    moduleFileExtensions: Array<string>;
+    moduleNameMapper: Record<string, string | Array<string>>;
+    modulePathIgnorePatterns: Array<string>;
+    noStackTrace: boolean;
+    notify: boolean;
+    notifyMode: NotifyMode;
+    prettierPath: string;
+    resetMocks: boolean;
+    resetModules: boolean;
+    restoreMocks: boolean;
+    roots: Array<Path>;
+    runTestsByPath: boolean;
+    runner: 'jest-runner';
+    setupFiles: Array<Path>;
+    setupFilesAfterEnv: Array<Path>;
+    skipFilter: boolean;
+    snapshotSerializers: Array<Path>;
+    testEnvironment: string;
+    testEnvironmentOptions: Record<string, any>;
+    testFailureExitCode: string | number;
+    testLocationInResults: boolean;
+    testMatch: Array<Glob>;
+    testPathIgnorePatterns: Array<string>;
+    testRegex: Array<string>;
+    testRunner: string;
+    testSequencer: string;
+    testURL: string;
+    timers: 'real' | 'fake';
+    transformIgnorePatterns: Array<Glob>;
+    useStderr: boolean;
+    watch: boolean;
+    watchPathIgnorePatterns: Array<string>;
+    watchman: boolean;
+};
+export declare type DisplayName = string | {
+    name: string;
+    color: typeof chalk.Color;
+};
+export declare type InitialOptionsWithRootDir = InitialOptions & Required<Pick<InitialOptions, 'rootDir'>>;
+export declare type InitialOptions = Partial<{
+    automock: boolean;
+    bail: boolean | number;
+    browser: boolean;
+    cache: boolean;
+    cacheDirectory: Path;
+    clearMocks: boolean;
+    changedFilesWithAncestor: boolean;
+    changedSince: string;
+    collectCoverage: boolean;
+    collectCoverageFrom: Array<Glob>;
+    collectCoverageOnlyFrom: {
+        [key: string]: boolean;
+    };
+    coverageDirectory: string;
+    coveragePathIgnorePatterns: Array<string>;
+    coverageProvider: CoverageProvider;
+    coverageReporters: Array<string>;
+    coverageThreshold: {
+        global: {
+            [key: string]: number;
+        };
+    };
+    dependencyExtractor: string;
+    detectLeaks: boolean;
+    detectOpenHandles: boolean;
+    displayName: DisplayName;
+    expand: boolean;
+    extraGlobals: Array<string>;
+    filter: Path;
+    findRelatedTests: boolean;
+    forceCoverageMatch: Array<Glob>;
+    forceExit: boolean;
+    json: boolean;
+    globals: ConfigGlobals;
+    globalSetup: string | null | undefined;
+    globalTeardown: string | null | undefined;
+    haste: HasteConfig;
+    reporters: Array<string | ReporterConfig>;
+    logHeapUsage: boolean;
+    lastCommit: boolean;
+    listTests: boolean;
+    mapCoverage: boolean;
+    maxConcurrency: number;
+    maxWorkers: number | string;
+    moduleDirectories: Array<string>;
+    moduleFileExtensions: Array<string>;
+    moduleLoader: Path;
+    moduleNameMapper: {
+        [key: string]: string | Array<string>;
+    };
+    modulePathIgnorePatterns: Array<string>;
+    modulePaths: Array<string>;
+    name: string;
+    noStackTrace: boolean;
+    notify: boolean;
+    notifyMode: string;
+    onlyChanged: boolean;
+    outputFile: Path;
+    passWithNoTests: boolean;
+    preprocessorIgnorePatterns: Array<Glob>;
+    preset: string | null | undefined;
+    prettierPath: string | null | undefined;
+    projects: Array<Glob>;
+    replname: string | null | undefined;
+    resetMocks: boolean;
+    resetModules: boolean;
+    resolver: Path | null | undefined;
+    restoreMocks: boolean;
+    rootDir: Path;
+    roots: Array<Path>;
+    runner: string;
+    runTestsByPath: boolean;
+    scriptPreprocessor: string;
+    setupFiles: Array<Path>;
+    setupTestFrameworkScriptFile: Path;
+    setupFilesAfterEnv: Array<Path>;
+    silent: boolean;
+    skipFilter: boolean;
+    skipNodeResolution: boolean;
+    snapshotResolver: Path;
+    snapshotSerializers: Array<Path>;
+    errorOnDeprecated: boolean;
+    testEnvironment: string;
+    testEnvironmentOptions: Record<string, any>;
+    testFailureExitCode: string | number;
+    testLocationInResults: boolean;
+    testMatch: Array<Glob>;
+    testNamePattern: string;
+    testPathDirs: Array<Path>;
+    testPathIgnorePatterns: Array<string>;
+    testRegex: string | Array<string>;
+    testResultsProcessor: string;
+    testRunner: string;
+    testSequencer: string;
+    testURL: string;
+    testTimeout: number;
+    timers: 'real' | 'fake';
+    transform: {
+        [regex: string]: Path | TransformerConfig;
+    };
+    transformIgnorePatterns: Array<Glob>;
+    watchPathIgnorePatterns: Array<string>;
+    unmockedModulePathPatterns: Array<string>;
+    updateSnapshot: boolean;
+    useStderr: boolean;
+    verbose?: boolean;
+    watch: boolean;
+    watchAll: boolean;
+    watchman: boolean;
+    watchPlugins: Array<string | [string, Record<string, any>]>;
+}>;
+export declare type SnapshotUpdateState = 'all' | 'new' | 'none';
+declare type NotifyMode = 'always' | 'failure' | 'success' | 'change' | 'success-change' | 'failure-change';
+export declare type CoverageThresholdValue = {
+    branches?: number;
+    functions?: number;
+    lines?: number;
+    statements?: number;
+};
+declare type CoverageThreshold = {
+    [path: string]: CoverageThresholdValue;
+    global: CoverageThresholdValue;
+};
+export declare type GlobalConfig = {
+    bail: number;
+    changedSince?: string;
+    changedFilesWithAncestor: boolean;
+    collectCoverage: boolean;
+    collectCoverageFrom: Array<Glob>;
+    collectCoverageOnlyFrom?: {
+        [key: string]: boolean;
+    };
+    coverageDirectory: string;
+    coveragePathIgnorePatterns?: Array<string>;
+    coverageProvider: CoverageProvider;
+    coverageReporters: Array<keyof ReportOptions | [keyof ReportOptions, any]>;
+    coverageThreshold?: CoverageThreshold;
+    detectLeaks: boolean;
+    detectOpenHandles: boolean;
+    enabledTestsMap?: {
+        [key: string]: {
+            [key: string]: boolean;
+        };
+    };
+    expand: boolean;
+    filter?: Path;
+    findRelatedTests: boolean;
+    forceExit: boolean;
+    json: boolean;
+    globalSetup?: string;
+    globalTeardown?: string;
+    lastCommit: boolean;
+    logHeapUsage: boolean;
+    listTests: boolean;
+    maxConcurrency: number;
+    maxWorkers: number;
+    noStackTrace: boolean;
+    nonFlagArgs: Array<string>;
+    noSCM?: boolean;
+    notify: boolean;
+    notifyMode: NotifyMode;
+    outputFile?: Path;
+    onlyChanged: boolean;
+    onlyFailures: boolean;
+    passWithNoTests: boolean;
+    projects: Array<Glob>;
+    replname?: string;
+    reporters?: Array<string | ReporterConfig>;
+    runTestsByPath: boolean;
+    rootDir: Path;
+    silent?: boolean;
+    skipFilter: boolean;
+    errorOnDeprecated: boolean;
+    testFailureExitCode: number;
+    testNamePattern?: string;
+    testPathPattern: string;
+    testResultsProcessor?: string;
+    testSequencer: string;
+    testTimeout?: number;
+    updateSnapshot: SnapshotUpdateState;
+    useStderr: boolean;
+    verbose?: boolean;
+    watch: boolean;
+    watchAll: boolean;
+    watchman: boolean;
+    watchPlugins?: Array<{
+        path: string;
+        config: Record<string, any>;
+    }> | null;
+};
+export declare type ProjectConfig = {
+    automock: boolean;
+    browser: boolean;
+    cache: boolean;
+    cacheDirectory: Path;
+    clearMocks: boolean;
+    coveragePathIgnorePatterns: Array<string>;
+    cwd: Path;
+    dependencyExtractor?: string;
+    detectLeaks: boolean;
+    detectOpenHandles: boolean;
+    displayName?: DisplayName;
+    errorOnDeprecated: boolean;
+    extraGlobals: Array<keyof NodeJS.Global>;
+    filter?: Path;
+    forceCoverageMatch: Array<Glob>;
+    globalSetup?: string;
+    globalTeardown?: string;
+    globals: ConfigGlobals;
+    haste: HasteConfig;
+    moduleDirectories: Array<string>;
+    moduleFileExtensions: Array<string>;
+    moduleLoader?: Path;
+    moduleNameMapper: Array<[string, string]>;
+    modulePathIgnorePatterns: Array<string>;
+    modulePaths?: Array<string>;
+    name: string;
+    prettierPath: string;
+    resetMocks: boolean;
+    resetModules: boolean;
+    resolver?: Path;
+    restoreMocks: boolean;
+    rootDir: Path;
+    roots: Array<Path>;
+    runner: string;
+    setupFiles: Array<Path>;
+    setupFilesAfterEnv: Array<Path>;
+    skipFilter: boolean;
+    skipNodeResolution?: boolean;
+    snapshotResolver?: Path;
+    snapshotSerializers: Array<Path>;
+    testEnvironment: string;
+    testEnvironmentOptions: Record<string, any>;
+    testMatch: Array<Glob>;
+    testLocationInResults: boolean;
+    testPathIgnorePatterns: Array<string>;
+    testRegex: Array<string | RegExp>;
+    testRunner: string;
+    testURL: string;
+    timers: 'real' | 'fake';
+    transform: Array<[string, Path, Record<string, unknown>]>;
+    transformIgnorePatterns: Array<Glob>;
+    watchPathIgnorePatterns: Array<string>;
+    unmockedModulePathPatterns?: Array<string>;
+};
+export declare type Argv = Arguments<Partial<{
+    all: boolean;
+    automock: boolean;
+    bail: boolean | number;
+    browser: boolean;
+    cache: boolean;
+    cacheDirectory: string;
+    changedFilesWithAncestor: boolean;
+    changedSince: string;
+    ci: boolean;
+    clearCache: boolean;
+    clearMocks: boolean;
+    collectCoverage: boolean;
+    collectCoverageFrom: string;
+    collectCoverageOnlyFrom: Array<string>;
+    color: boolean;
+    colors: boolean;
+    config: string;
+    coverage: boolean;
+    coverageDirectory: string;
+    coveragePathIgnorePatterns: Array<string>;
+    coverageReporters: Array<string>;
+    coverageThreshold: string;
+    debug: boolean;
+    env: string;
+    expand: boolean;
+    findRelatedTests: boolean;
+    forceExit: boolean;
+    globals: string;
+    globalSetup: string | null | undefined;
+    globalTeardown: string | null | undefined;
+    haste: string;
+    init: boolean;
+    json: boolean;
+    lastCommit: boolean;
+    logHeapUsage: boolean;
+    maxWorkers: number | string;
+    moduleDirectories: Array<string>;
+    moduleFileExtensions: Array<string>;
+    moduleNameMapper: string;
+    modulePathIgnorePatterns: Array<string>;
+    modulePaths: Array<string>;
+    noStackTrace: boolean;
+    notify: boolean;
+    notifyMode: string;
+    onlyChanged: boolean;
+    outputFile: string;
+    preset: string | null | undefined;
+    projects: Array<string>;
+    prettierPath: string | null | undefined;
+    resetMocks: boolean;
+    resetModules: boolean;
+    resolver: string | null | undefined;
+    restoreMocks: boolean;
+    rootDir: string;
+    roots: Array<string>;
+    runInBand: boolean;
+    setupFiles: Array<string>;
+    setupFilesAfterEnv: Array<string>;
+    showConfig: boolean;
+    silent: boolean;
+    snapshotSerializers: Array<string>;
+    testEnvironment: string;
+    testFailureExitCode: string | null | undefined;
+    testMatch: Array<string>;
+    testNamePattern: string;
+    testPathIgnorePatterns: Array<string>;
+    testPathPattern: Array<string>;
+    testRegex: string | Array<string>;
+    testResultsProcessor: string;
+    testRunner: string;
+    testSequencer: string;
+    testURL: string;
+    testTimeout: number | null | undefined;
+    timers: string;
+    transform: string;
+    transformIgnorePatterns: Array<string>;
+    unmockedModulePathPatterns: Array<string> | null | undefined;
+    updateSnapshot: boolean;
+    useStderr: boolean;
+    verbose: boolean;
+    version: boolean;
+    watch: boolean;
+    watchAll: boolean;
+    watchman: boolean;
+    watchPathIgnorePatterns: Array<string>;
+}>>;
+export {};
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/Config.js b/node_modules/@jest/globals/node_modules/@jest/types/build/Config.js
new file mode 100644
index 000000000..c6c531133
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/Config.js
@@ -0,0 +1,15 @@
+'use strict';
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/Global.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/Global.d.ts
new file mode 100644
index 000000000..37676d5e2
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/Global.d.ts
@@ -0,0 +1,83 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type { CoverageMapData } from 'istanbul-lib-coverage';
+export declare type DoneFn = (reason?: string | Error) => void;
+export declare type TestName = string;
+export declare type TestFn = (done?: DoneFn) => Promise<void | undefined | unknown> | void | undefined;
+export declare type BlockFn = () => void;
+export declare type BlockName = string;
+export declare type HookFn = TestFn;
+export declare type Col = unknown;
+export declare type Row = Array<Col>;
+export declare type Table = Array<Row>;
+export declare type ArrayTable = Table | Row;
+export declare type TemplateTable = TemplateStringsArray;
+export declare type TemplateData = Array<unknown>;
+export declare type EachTable = ArrayTable | TemplateTable;
+export declare type EachTestFn = (...args: Array<any>) => Promise<any> | void | undefined;
+declare type Jasmine = {
+    _DEFAULT_TIMEOUT_INTERVAL?: number;
+    addMatchers: Function;
+};
+declare type Each = (table: EachTable, ...taggedTemplateData: Array<unknown>) => (title: string, test: EachTestFn, timeout?: number) => void;
+export interface ItBase {
+    (testName: TestName, fn: TestFn, timeout?: number): void;
+    each: Each;
+}
+export interface It extends ItBase {
+    only: ItBase;
+    skip: ItBase;
+    todo: (testName: TestName, ...rest: Array<any>) => void;
+}
+export interface ItConcurrentBase {
+    (testName: string, testFn: () => Promise<any>, timeout?: number): void;
+}
+export interface ItConcurrentExtended extends ItConcurrentBase {
+    only: ItConcurrentBase;
+    skip: ItConcurrentBase;
+}
+export interface ItConcurrent extends It {
+    concurrent: ItConcurrentExtended;
+}
+export interface DescribeBase {
+    (blockName: BlockName, blockFn: BlockFn): void;
+    each: Each;
+}
+export interface Describe extends DescribeBase {
+    only: DescribeBase;
+    skip: DescribeBase;
+}
+export interface TestFrameworkGlobals {
+    it: ItConcurrent;
+    test: ItConcurrent;
+    fit: ItBase & {
+        concurrent?: ItConcurrentBase;
+    };
+    xit: ItBase;
+    xtest: ItBase;
+    describe: Describe;
+    xdescribe: DescribeBase;
+    fdescribe: DescribeBase;
+    beforeAll: HookFn;
+    beforeEach: HookFn;
+    afterEach: HookFn;
+    afterAll: HookFn;
+}
+export interface GlobalAdditions extends TestFrameworkGlobals {
+    __coverage__: CoverageMapData;
+    jasmine: Jasmine;
+    fail: () => void;
+    pending: () => void;
+    spyOn: () => void;
+    spyOnProperty: () => void;
+}
+declare type NodeGlobalWithoutAdditions = Omit<NodeJS.Global, keyof GlobalAdditions>;
+export interface Global extends GlobalAdditions, NodeGlobalWithoutAdditions {
+    [extras: string]: any;
+}
+export {};
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/Global.js b/node_modules/@jest/globals/node_modules/@jest/types/build/Global.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/Global.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/TestResult.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/TestResult.d.ts
new file mode 100644
index 000000000..560216c9e
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/TestResult.d.ts
@@ -0,0 +1,30 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare type Milliseconds = number;
+declare type Status = 'passed' | 'failed' | 'skipped' | 'pending' | 'todo' | 'disabled';
+declare type Callsite = {
+    column: number;
+    line: number;
+};
+export declare type AssertionResult = {
+    ancestorTitles: Array<string>;
+    duration?: Milliseconds | null;
+    failureMessages: Array<string>;
+    fullName: string;
+    invocations?: number;
+    location?: Callsite | null;
+    numPassingAsserts: number;
+    status: Status;
+    title: string;
+};
+export declare type SerializableError = {
+    code?: unknown;
+    message: string;
+    stack: string | null | undefined;
+    type?: string;
+};
+export {};
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/TestResult.js b/node_modules/@jest/globals/node_modules/@jest/types/build/TestResult.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/TestResult.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/Transform.d.ts
new file mode 100644
index 000000000..af8063f7d
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/Transform.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare type TransformResult = {
+    code: string;
+    originalCode: string;
+    mapCoverage?: boolean;
+    sourceMapPath: string | null;
+};
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/Transform.js b/node_modules/@jest/globals/node_modules/@jest/types/build/Transform.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/Transform.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/index.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/index.d.ts
new file mode 100644
index 000000000..be82158e4
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/index.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type * as Circus from './Circus';
+import type * as Config from './Config';
+import type * as Global from './Global';
+import type * as TestResult from './TestResult';
+import type * as TransformTypes from './Transform';
+export type { Circus, Config, Global, TestResult, TransformTypes };
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/index.js b/node_modules/@jest/globals/node_modules/@jest/types/build/index.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/index.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/Circus.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Circus.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/Circus.d.ts
rename to node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Circus.d.ts
diff --git a/node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/Config.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Config.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/Config.d.ts
rename to node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Config.d.ts
diff --git a/node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/Global.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Global.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/Global.d.ts
rename to node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Global.d.ts
diff --git a/node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/TestResult.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/TestResult.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/TestResult.d.ts
rename to node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/TestResult.d.ts
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Transform.d.ts
new file mode 100644
index 000000000..231ae24ca
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare type TransformResult = {
+    code: string;
+    originalCode: string;
+    mapCoverage?: boolean;
+    sourceMapPath: string | null;
+};
diff --git a/node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/index.d.ts b/node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/index.d.ts
similarity index 100%
rename from node_modules/jest-circus/node_modules/@jest/types/build/ts3.4/index.d.ts
rename to node_modules/@jest/globals/node_modules/@jest/types/build/ts3.4/index.d.ts
diff --git a/node_modules/@jest/globals/node_modules/@jest/types/package.json b/node_modules/@jest/globals/node_modules/@jest/types/package.json
new file mode 100644
index 000000000..1d35fe766
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/@jest/types/package.json
@@ -0,0 +1,69 @@
+{
+  "_args": [
+    [
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
+  "_inBundle": false,
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
+  "_location": "/@jest/globals/@jest/types",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "@jest/types@25.5.0",
+    "name": "@jest/types",
+    "escapedName": "@jest%2ftypes",
+    "scope": "@jest",
+    "rawSpec": "25.5.0",
+    "saveSpec": null,
+    "fetchSpec": "25.5.0"
+  },
+  "_requiredBy": [
+    "/@jest/globals"
+  ],
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@types/istanbul-lib-coverage": "^2.0.0",
+    "@types/istanbul-reports": "^1.1.1",
+    "@types/yargs": "^15.0.0",
+    "chalk": "^3.0.0"
+  },
+  "devDependencies": {
+    "@types/node": "*"
+  },
+  "engines": {
+    "node": ">= 8.3"
+  },
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "@jest/types",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-types"
+  },
+  "types": "build/index.d.ts",
+  "typesVersions": {
+    "<3.8": {
+      "build/*": [
+        "build/ts3.4/*"
+      ]
+    }
+  },
+  "version": "25.5.0"
+}
diff --git a/node_modules/@jest/globals/node_modules/ansi-styles/index.d.ts b/node_modules/@jest/globals/node_modules/ansi-styles/index.d.ts
new file mode 100644
index 000000000..7e9b2b71b
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/ansi-styles/index.d.ts
@@ -0,0 +1,197 @@
+import * as cssColors from 'color-name';
+
+declare namespace ansiStyles {
+	interface ColorConvert {
+		/**
+		The RGB color space.
+
+		@param red - (`0`-`255`)
+		@param green - (`0`-`255`)
+		@param blue - (`0`-`255`)
+		*/
+		rgb(red: number, green: number, blue: number): string;
+
+		/**
+		The RGB HEX color space.
+
+		@param hex - A hexadecimal string containing RGB data.
+		*/
+		hex(hex: string): string;
+
+		/**
+		@param keyword - A CSS color name.
+		*/
+		keyword(keyword: keyof typeof cssColors): string;
+
+		/**
+		The HSL color space.
+
+		@param hue - (`0`-`360`)
+		@param saturation - (`0`-`100`)
+		@param lightness - (`0`-`100`)
+		*/
+		hsl(hue: number, saturation: number, lightness: number): string;
+
+		/**
+		The HSV color space.
+
+		@param hue - (`0`-`360`)
+		@param saturation - (`0`-`100`)
+		@param value - (`0`-`100`)
+		*/
+		hsv(hue: number, saturation: number, value: number): string;
+
+		/**
+		The HSV color space.
+
+		@param hue - (`0`-`360`)
+		@param whiteness - (`0`-`100`)
+		@param blackness - (`0`-`100`)
+		*/
+		hwb(hue: number, whiteness: number, blackness: number): string;
+
+		/**
+		Use a [4-bit unsigned number](https://en.wikipedia.org/wiki/ANSI_escape_code#3/4-bit) to set text color.
+		*/
+		ansi(ansi: number): string;
+
+		/**
+		Use an [8-bit unsigned number](https://en.wikipedia.org/wiki/ANSI_escape_code#8-bit) to set text color.
+		*/
+		ansi256(ansi: number): string;
+	}
+
+	interface CSPair {
+		/**
+		The ANSI terminal control sequence for starting this style.
+		*/
+		readonly open: string;
+
+		/**
+		The ANSI terminal control sequence for ending this style.
+		*/
+		readonly close: string;
+	}
+
+	interface ColorBase {
+		readonly ansi: ColorConvert;
+		readonly ansi256: ColorConvert;
+		readonly ansi16m: ColorConvert;
+
+		/**
+		The ANSI terminal control sequence for ending this color.
+		*/
+		readonly close: string;
+	}
+
+	interface Modifier {
+		/**
+		Resets the current color chain.
+		*/
+		readonly reset: CSPair;
+
+		/**
+		Make text bold.
+		*/
+		readonly bold: CSPair;
+
+		/**
+		Emitting only a small amount of light.
+		*/
+		readonly dim: CSPair;
+
+		/**
+		Make text italic. (Not widely supported)
+		*/
+		readonly italic: CSPair;
+
+		/**
+		Make text underline. (Not widely supported)
+		*/
+		readonly underline: CSPair;
+
+		/**
+		Inverse background and foreground colors.
+		*/
+		readonly inverse: CSPair;
+
+		/**
+		Prints the text, but makes it invisible.
+		*/
+		readonly hidden: CSPair;
+
+		/**
+		Puts a horizontal line through the center of the text. (Not widely supported)
+		*/
+		readonly strikethrough: CSPair;
+	}
+
+	interface ForegroundColor {
+		readonly black: CSPair;
+		readonly red: CSPair;
+		readonly green: CSPair;
+		readonly yellow: CSPair;
+		readonly blue: CSPair;
+		readonly cyan: CSPair;
+		readonly magenta: CSPair;
+		readonly white: CSPair;
+
+		/**
+		Alias for `blackBright`.
+		*/
+		readonly gray: CSPair;
+
+		/**
+		Alias for `blackBright`.
+		*/
+		readonly grey: CSPair;
+
+		readonly blackBright: CSPair;
+		readonly redBright: CSPair;
+		readonly greenBright: CSPair;
+		readonly yellowBright: CSPair;
+		readonly blueBright: CSPair;
+		readonly cyanBright: CSPair;
+		readonly magentaBright: CSPair;
+		readonly whiteBright: CSPair;
+	}
+
+	interface BackgroundColor {
+		readonly bgBlack: CSPair;
+		readonly bgRed: CSPair;
+		readonly bgGreen: CSPair;
+		readonly bgYellow: CSPair;
+		readonly bgBlue: CSPair;
+		readonly bgCyan: CSPair;
+		readonly bgMagenta: CSPair;
+		readonly bgWhite: CSPair;
+
+		/**
+		Alias for `bgBlackBright`.
+		*/
+		readonly bgGray: CSPair;
+
+		/**
+		Alias for `bgBlackBright`.
+		*/
+		readonly bgGrey: CSPair;
+
+		readonly bgBlackBright: CSPair;
+		readonly bgRedBright: CSPair;
+		readonly bgGreenBright: CSPair;
+		readonly bgYellowBright: CSPair;
+		readonly bgBlueBright: CSPair;
+		readonly bgCyanBright: CSPair;
+		readonly bgMagentaBright: CSPair;
+		readonly bgWhiteBright: CSPair;
+	}
+}
+
+declare const ansiStyles: {
+	readonly modifier: ansiStyles.Modifier;
+	readonly color: ansiStyles.ForegroundColor & ansiStyles.ColorBase;
+	readonly bgColor: ansiStyles.BackgroundColor & ansiStyles.ColorBase;
+	readonly codes: ReadonlyMap<number, number>;
+} & ansiStyles.BackgroundColor & ansiStyles.ForegroundColor & ansiStyles.Modifier;
+
+export = ansiStyles;
diff --git a/node_modules/@jest/globals/node_modules/ansi-styles/index.js b/node_modules/@jest/globals/node_modules/ansi-styles/index.js
new file mode 100644
index 000000000..5d82581a1
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/ansi-styles/index.js
@@ -0,0 +1,163 @@
+'use strict';
+
+const wrapAnsi16 = (fn, offset) => (...args) => {
+	const code = fn(...args);
+	return `\u001B[${code + offset}m`;
+};
+
+const wrapAnsi256 = (fn, offset) => (...args) => {
+	const code = fn(...args);
+	return `\u001B[${38 + offset};5;${code}m`;
+};
+
+const wrapAnsi16m = (fn, offset) => (...args) => {
+	const rgb = fn(...args);
+	return `\u001B[${38 + offset};2;${rgb[0]};${rgb[1]};${rgb[2]}m`;
+};
+
+const ansi2ansi = n => n;
+const rgb2rgb = (r, g, b) => [r, g, b];
+
+const setLazyProperty = (object, property, get) => {
+	Object.defineProperty(object, property, {
+		get: () => {
+			const value = get();
+
+			Object.defineProperty(object, property, {
+				value,
+				enumerable: true,
+				configurable: true
+			});
+
+			return value;
+		},
+		enumerable: true,
+		configurable: true
+	});
+};
+
+/** @type {typeof import('color-convert')} */
+let colorConvert;
+const makeDynamicStyles = (wrap, targetSpace, identity, isBackground) => {
+	if (colorConvert === undefined) {
+		colorConvert = require('color-convert');
+	}
+
+	const offset = isBackground ? 10 : 0;
+	const styles = {};
+
+	for (const [sourceSpace, suite] of Object.entries(colorConvert)) {
+		const name = sourceSpace === 'ansi16' ? 'ansi' : sourceSpace;
+		if (sourceSpace === targetSpace) {
+			styles[name] = wrap(identity, offset);
+		} else if (typeof suite === 'object') {
+			styles[name] = wrap(suite[targetSpace], offset);
+		}
+	}
+
+	return styles;
+};
+
+function assembleStyles() {
+	const codes = new Map();
+	const styles = {
+		modifier: {
+			reset: [0, 0],
+			// 21 isn't widely supported and 22 does the same thing
+			bold: [1, 22],
+			dim: [2, 22],
+			italic: [3, 23],
+			underline: [4, 24],
+			inverse: [7, 27],
+			hidden: [8, 28],
+			strikethrough: [9, 29]
+		},
+		color: {
+			black: [30, 39],
+			red: [31, 39],
+			green: [32, 39],
+			yellow: [33, 39],
+			blue: [34, 39],
+			magenta: [35, 39],
+			cyan: [36, 39],
+			white: [37, 39],
+
+			// Bright color
+			blackBright: [90, 39],
+			redBright: [91, 39],
+			greenBright: [92, 39],
+			yellowBright: [93, 39],
+			blueBright: [94, 39],
+			magentaBright: [95, 39],
+			cyanBright: [96, 39],
+			whiteBright: [97, 39]
+		},
+		bgColor: {
+			bgBlack: [40, 49],
+			bgRed: [41, 49],
+			bgGreen: [42, 49],
+			bgYellow: [43, 49],
+			bgBlue: [44, 49],
+			bgMagenta: [45, 49],
+			bgCyan: [46, 49],
+			bgWhite: [47, 49],
+
+			// Bright color
+			bgBlackBright: [100, 49],
+			bgRedBright: [101, 49],
+			bgGreenBright: [102, 49],
+			bgYellowBright: [103, 49],
+			bgBlueBright: [104, 49],
+			bgMagentaBright: [105, 49],
+			bgCyanBright: [106, 49],
+			bgWhiteBright: [107, 49]
+		}
+	};
+
+	// Alias bright black as gray (and grey)
+	styles.color.gray = styles.color.blackBright;
+	styles.bgColor.bgGray = styles.bgColor.bgBlackBright;
+	styles.color.grey = styles.color.blackBright;
+	styles.bgColor.bgGrey = styles.bgColor.bgBlackBright;
+
+	for (const [groupName, group] of Object.entries(styles)) {
+		for (const [styleName, style] of Object.entries(group)) {
+			styles[styleName] = {
+				open: `\u001B[${style[0]}m`,
+				close: `\u001B[${style[1]}m`
+			};
+
+			group[styleName] = styles[styleName];
+
+			codes.set(style[0], style[1]);
+		}
+
+		Object.defineProperty(styles, groupName, {
+			value: group,
+			enumerable: false
+		});
+	}
+
+	Object.defineProperty(styles, 'codes', {
+		value: codes,
+		enumerable: false
+	});
+
+	styles.color.close = '\u001B[39m';
+	styles.bgColor.close = '\u001B[49m';
+
+	setLazyProperty(styles.color, 'ansi', () => makeDynamicStyles(wrapAnsi16, 'ansi16', ansi2ansi, false));
+	setLazyProperty(styles.color, 'ansi256', () => makeDynamicStyles(wrapAnsi256, 'ansi256', ansi2ansi, false));
+	setLazyProperty(styles.color, 'ansi16m', () => makeDynamicStyles(wrapAnsi16m, 'rgb', rgb2rgb, false));
+	setLazyProperty(styles.bgColor, 'ansi', () => makeDynamicStyles(wrapAnsi16, 'ansi16', ansi2ansi, true));
+	setLazyProperty(styles.bgColor, 'ansi256', () => makeDynamicStyles(wrapAnsi256, 'ansi256', ansi2ansi, true));
+	setLazyProperty(styles.bgColor, 'ansi16m', () => makeDynamicStyles(wrapAnsi16m, 'rgb', rgb2rgb, true));
+
+	return styles;
+}
+
+// Make the export immutable
+Object.defineProperty(module, 'exports', {
+	enumerable: true,
+	get: assembleStyles
+});
diff --git a/node_modules/os-name/license b/node_modules/@jest/globals/node_modules/ansi-styles/license
similarity index 100%
rename from node_modules/os-name/license
rename to node_modules/@jest/globals/node_modules/ansi-styles/license
diff --git a/node_modules/@jest/globals/node_modules/ansi-styles/package.json b/node_modules/@jest/globals/node_modules/ansi-styles/package.json
new file mode 100644
index 000000000..2b1011e00
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/ansi-styles/package.json
@@ -0,0 +1,93 @@
+{
+  "_args": [
+    [
+      "ansi-styles@4.2.1",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "ansi-styles@4.2.1",
+  "_id": "ansi-styles@4.2.1",
+  "_inBundle": false,
+  "_integrity": "sha512-9VGjrMsG1vePxcSweQsN20KY/c4zN0h9fLjqAbwbPfahM3t+NL+M9HC8xeXG2I8pX5NoamTGNuomEUFI7fcUjA==",
+  "_location": "/@jest/globals/ansi-styles",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "ansi-styles@4.2.1",
+    "name": "ansi-styles",
+    "escapedName": "ansi-styles",
+    "rawSpec": "4.2.1",
+    "saveSpec": null,
+    "fetchSpec": "4.2.1"
+  },
+  "_requiredBy": [
+    "/@jest/globals/chalk"
+  ],
+  "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
+  "_spec": "4.2.1",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Sindre Sorhus",
+    "email": "sindresorhus@gmail.com",
+    "url": "sindresorhus.com"
+  },
+  "bugs": {
+    "url": "https://github.com/chalk/ansi-styles/issues"
+  },
+  "dependencies": {
+    "@types/color-name": "^1.1.1",
+    "color-convert": "^2.0.1"
+  },
+  "description": "ANSI escape codes for styling strings in the terminal",
+  "devDependencies": {
+    "@types/color-convert": "^1.9.0",
+    "ava": "^2.3.0",
+    "svg-term-cli": "^2.1.1",
+    "tsd": "^0.11.0",
+    "xo": "^0.25.3"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "index.js",
+    "index.d.ts"
+  ],
+  "funding": "https://github.com/chalk/ansi-styles?sponsor=1",
+  "homepage": "https://github.com/chalk/ansi-styles#readme",
+  "keywords": [
+    "ansi",
+    "styles",
+    "color",
+    "colour",
+    "colors",
+    "terminal",
+    "console",
+    "cli",
+    "string",
+    "tty",
+    "escape",
+    "formatting",
+    "rgb",
+    "256",
+    "shell",
+    "xterm",
+    "log",
+    "logging",
+    "command-line",
+    "text"
+  ],
+  "license": "MIT",
+  "name": "ansi-styles",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/chalk/ansi-styles.git"
+  },
+  "scripts": {
+    "screenshot": "svg-term --command='node screenshot' --out=screenshot.svg --padding=3 --width=55 --height=3 --at=1000 --no-cursor",
+    "test": "xo && ava && tsd"
+  },
+  "version": "4.2.1"
+}
diff --git a/node_modules/@jest/globals/node_modules/ansi-styles/readme.md b/node_modules/@jest/globals/node_modules/ansi-styles/readme.md
new file mode 100644
index 000000000..2a1ef6546
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/ansi-styles/readme.md
@@ -0,0 +1,158 @@
+# ansi-styles [![Build Status](https://travis-ci.org/chalk/ansi-styles.svg?branch=master)](https://travis-ci.org/chalk/ansi-styles)
+
+> [ANSI escape codes](https://en.wikipedia.org/wiki/ANSI_escape_code#Colors_and_Styles) for styling strings in the terminal
+
+You probably want the higher-level [chalk](https://github.com/chalk/chalk) module for styling your strings.
+
+<img src="screenshot.svg" width="900">
+
+## Install
+
+```
+$ npm install ansi-styles
+```
+
+## Usage
+
+```js
+const style = require('ansi-styles');
+
+console.log(`${style.green.open}Hello world!${style.green.close}`);
+
+
+// Color conversion between 16/256/truecolor
+// NOTE: If conversion goes to 16 colors or 256 colors, the original color
+//       may be degraded to fit that color palette. This means terminals
+//       that do not support 16 million colors will best-match the
+//       original color.
+console.log(style.bgColor.ansi.hsl(120, 80, 72) + 'Hello world!' + style.bgColor.close);
+console.log(style.color.ansi256.rgb(199, 20, 250) + 'Hello world!' + style.color.close);
+console.log(style.color.ansi16m.hex('#abcdef') + 'Hello world!' + style.color.close);
+```
+
+## API
+
+Each style has an `open` and `close` property.
+
+## Styles
+
+### Modifiers
+
+- `reset`
+- `bold`
+- `dim`
+- `italic` *(Not widely supported)*
+- `underline`
+- `inverse`
+- `hidden`
+- `strikethrough` *(Not widely supported)*
+
+### Colors
+
+- `black`
+- `red`
+- `green`
+- `yellow`
+- `blue`
+- `magenta`
+- `cyan`
+- `white`
+- `blackBright` (alias: `gray`, `grey`)
+- `redBright`
+- `greenBright`
+- `yellowBright`
+- `blueBright`
+- `magentaBright`
+- `cyanBright`
+- `whiteBright`
+
+### Background colors
+
+- `bgBlack`
+- `bgRed`
+- `bgGreen`
+- `bgYellow`
+- `bgBlue`
+- `bgMagenta`
+- `bgCyan`
+- `bgWhite`
+- `bgBlackBright` (alias: `bgGray`, `bgGrey`)
+- `bgRedBright`
+- `bgGreenBright`
+- `bgYellowBright`
+- `bgBlueBright`
+- `bgMagentaBright`
+- `bgCyanBright`
+- `bgWhiteBright`
+
+## Advanced usage
+
+By default, you get a map of styles, but the styles are also available as groups. They are non-enumerable so they don't show up unless you access them explicitly. This makes it easier to expose only a subset in a higher-level module.
+
+- `style.modifier`
+- `style.color`
+- `style.bgColor`
+
+###### Example
+
+```js
+console.log(style.color.green.open);
+```
+
+Raw escape codes (i.e. without the CSI escape prefix `\u001B[` and render mode postfix `m`) are available under `style.codes`, which returns a `Map` with the open codes as keys and close codes as values.
+
+###### Example
+
+```js
+console.log(style.codes.get(36));
+//=> 39
+```
+
+## [256 / 16 million (TrueColor) support](https://gist.github.com/XVilka/8346728)
+
+`ansi-styles` uses the [`color-convert`](https://github.com/Qix-/color-convert) package to allow for converting between various colors and ANSI escapes, with support for 256 and 16 million colors.
+
+The following color spaces from `color-convert` are supported:
+
+- `rgb`
+- `hex`
+- `keyword`
+- `hsl`
+- `hsv`
+- `hwb`
+- `ansi`
+- `ansi256`
+
+To use these, call the associated conversion function with the intended output, for example:
+
+```js
+style.color.ansi.rgb(100, 200, 15); // RGB to 16 color ansi foreground code
+style.bgColor.ansi.rgb(100, 200, 15); // RGB to 16 color ansi background code
+
+style.color.ansi256.hsl(120, 100, 60); // HSL to 256 color ansi foreground code
+style.bgColor.ansi256.hsl(120, 100, 60); // HSL to 256 color ansi foreground code
+
+style.color.ansi16m.hex('#C0FFEE'); // Hex (RGB) to 16 million color foreground code
+style.bgColor.ansi16m.hex('#C0FFEE'); // Hex (RGB) to 16 million color background code
+```
+
+## Related
+
+- [ansi-escapes](https://github.com/sindresorhus/ansi-escapes) - ANSI escape codes for manipulating the terminal
+
+## Maintainers
+
+- [Sindre Sorhus](https://github.com/sindresorhus)
+- [Josh Junon](https://github.com/qix-)
+
+---
+
+<div align="center">
+	<b>
+		<a href="https://tidelift.com/subscription/pkg/npm-ansi-styles?utm_source=npm-ansi-styles&utm_medium=referral&utm_campaign=readme">Get professional support for this package with a Tidelift subscription</a>
+	</b>
+	<br>
+	<sub>
+		Tidelift helps make open source sustainable for maintainers while giving companies<br>assurances about security, maintenance, and licensing for their dependencies.
+	</sub>
+</div>
diff --git a/node_modules/@jest/globals/node_modules/chalk/index.d.ts b/node_modules/@jest/globals/node_modules/chalk/index.d.ts
new file mode 100644
index 000000000..7e22c45ec
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/chalk/index.d.ts
@@ -0,0 +1,411 @@
+declare const enum LevelEnum {
+	/**
+	All colors disabled.
+	*/
+	None = 0,
+
+	/**
+	Basic 16 colors support.
+	*/
+	Basic = 1,
+
+	/**
+	ANSI 256 colors support.
+	*/
+	Ansi256 = 2,
+
+	/**
+	Truecolor 16 million colors support.
+	*/
+	TrueColor = 3
+}
+
+/**
+Basic foreground colors.
+
+[More colors here.](https://github.com/chalk/chalk/blob/master/readme.md#256-and-truecolor-color-support)
+*/
+declare type ForegroundColor =
+	| 'black'
+	| 'red'
+	| 'green'
+	| 'yellow'
+	| 'blue'
+	| 'magenta'
+	| 'cyan'
+	| 'white'
+	| 'gray'
+	| 'grey'
+	| 'blackBright'
+	| 'redBright'
+	| 'greenBright'
+	| 'yellowBright'
+	| 'blueBright'
+	| 'magentaBright'
+	| 'cyanBright'
+	| 'whiteBright';
+
+/**
+Basic background colors.
+
+[More colors here.](https://github.com/chalk/chalk/blob/master/readme.md#256-and-truecolor-color-support)
+*/
+declare type BackgroundColor =
+	| 'bgBlack'
+	| 'bgRed'
+	| 'bgGreen'
+	| 'bgYellow'
+	| 'bgBlue'
+	| 'bgMagenta'
+	| 'bgCyan'
+	| 'bgWhite'
+	| 'bgGray'
+	| 'bgGrey'
+	| 'bgBlackBright'
+	| 'bgRedBright'
+	| 'bgGreenBright'
+	| 'bgYellowBright'
+	| 'bgBlueBright'
+	| 'bgMagentaBright'
+	| 'bgCyanBright'
+	| 'bgWhiteBright';
+
+/**
+Basic colors.
+
+[More colors here.](https://github.com/chalk/chalk/blob/master/readme.md#256-and-truecolor-color-support)
+*/
+declare type Color = ForegroundColor | BackgroundColor;
+
+declare type Modifiers =
+	| 'reset'
+	| 'bold'
+	| 'dim'
+	| 'italic'
+	| 'underline'
+	| 'inverse'
+	| 'hidden'
+	| 'strikethrough'
+	| 'visible';
+
+declare namespace chalk {
+	type Level = LevelEnum;
+
+	interface Options {
+		/**
+		Specify the color support for Chalk.
+		By default, color support is automatically detected based on the environment.
+		*/
+		level?: Level;
+	}
+
+	interface Instance {
+		/**
+		Return a new Chalk instance.
+		*/
+		new (options?: Options): Chalk;
+	}
+
+	/**
+	Detect whether the terminal supports color.
+	*/
+	interface ColorSupport {
+		/**
+		The color level used by Chalk.
+		*/
+		level: Level;
+
+		/**
+		Return whether Chalk supports basic 16 colors.
+		*/
+		hasBasic: boolean;
+
+		/**
+		Return whether Chalk supports ANSI 256 colors.
+		*/
+		has256: boolean;
+
+		/**
+		Return whether Chalk supports Truecolor 16 million colors.
+		*/
+		has16m: boolean;
+	}
+
+	interface ChalkFunction {
+		/**
+		Use a template string.
+
+		@remarks Template literals are unsupported for nested calls (see [issue #341](https://github.com/chalk/chalk/issues/341))
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		log(chalk`
+		CPU: {red ${cpu.totalPercent}%}
+		RAM: {green ${ram.used / ram.total * 100}%}
+		DISK: {rgb(255,131,0) ${disk.used / disk.total * 100}%}
+		`);
+		```
+		*/
+		(text: TemplateStringsArray, ...placeholders: unknown[]): string;
+
+		(...text: unknown[]): string;
+	}
+
+	interface Chalk extends ChalkFunction {
+		/**
+		Return a new Chalk instance.
+		*/
+		Instance: Instance;
+
+		/**
+		The color support for Chalk.
+		By default, color support is automatically detected based on the environment.
+		*/
+		level: Level;
+
+		/**
+		Use HEX value to set text color.
+
+		@param color - Hexadecimal value representing the desired color.
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		chalk.hex('#DEADED');
+		```
+		*/
+		hex(color: string): Chalk;
+
+		/**
+		Use keyword color value to set text color.
+
+		@param color - Keyword value representing the desired color.
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		chalk.keyword('orange');
+		```
+		*/
+		keyword(color: string): Chalk;
+
+		/**
+		Use RGB values to set text color.
+		*/
+		rgb(red: number, green: number, blue: number): Chalk;
+
+		/**
+		Use HSL values to set text color.
+		*/
+		hsl(hue: number, saturation: number, lightness: number): Chalk;
+
+		/**
+		Use HSV values to set text color.
+		*/
+		hsv(hue: number, saturation: number, value: number): Chalk;
+
+		/**
+		Use HWB values to set text color.
+		*/
+		hwb(hue: number, whiteness: number, blackness: number): Chalk;
+
+		/**
+		Use a [Select/Set Graphic Rendition](https://en.wikipedia.org/wiki/ANSI_escape_code#SGR_parameters) (SGR) [color code number](https://en.wikipedia.org/wiki/ANSI_escape_code#3/4_bit) to set text color.
+
+		30 <= code && code < 38 || 90 <= code && code < 98
+		For example, 31 for red, 91 for redBright.
+		*/
+		ansi(code: number): Chalk;
+
+		/**
+		Use a [8-bit unsigned number](https://en.wikipedia.org/wiki/ANSI_escape_code#8-bit) to set text color.
+		*/
+		ansi256(index: number): Chalk;
+
+		/**
+		Use HEX value to set background color.
+
+		@param color - Hexadecimal value representing the desired color.
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		chalk.bgHex('#DEADED');
+		```
+		*/
+		bgHex(color: string): Chalk;
+
+		/**
+		Use keyword color value to set background color.
+
+		@param color - Keyword value representing the desired color.
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		chalk.bgKeyword('orange');
+		```
+		*/
+		bgKeyword(color: string): Chalk;
+
+		/**
+		Use RGB values to set background color.
+		*/
+		bgRgb(red: number, green: number, blue: number): Chalk;
+
+		/**
+		Use HSL values to set background color.
+		*/
+		bgHsl(hue: number, saturation: number, lightness: number): Chalk;
+
+		/**
+		Use HSV values to set background color.
+		*/
+		bgHsv(hue: number, saturation: number, value: number): Chalk;
+
+		/**
+		Use HWB values to set background color.
+		*/
+		bgHwb(hue: number, whiteness: number, blackness: number): Chalk;
+
+		/**
+		Use a [Select/Set Graphic Rendition](https://en.wikipedia.org/wiki/ANSI_escape_code#SGR_parameters) (SGR) [color code number](https://en.wikipedia.org/wiki/ANSI_escape_code#3/4_bit) to set background color.
+
+		30 <= code && code < 38 || 90 <= code && code < 98
+		For example, 31 for red, 91 for redBright.
+		Use the foreground code, not the background code (for example, not 41, nor 101).
+		*/
+		bgAnsi(code: number): Chalk;
+
+		/**
+		Use a [8-bit unsigned number](https://en.wikipedia.org/wiki/ANSI_escape_code#8-bit) to set background color.
+		*/
+		bgAnsi256(index: number): Chalk;
+
+		/**
+		Modifier: Resets the current color chain.
+		*/
+		readonly reset: Chalk;
+
+		/**
+		Modifier: Make text bold.
+		*/
+		readonly bold: Chalk;
+
+		/**
+		Modifier: Emitting only a small amount of light.
+		*/
+		readonly dim: Chalk;
+
+		/**
+		Modifier: Make text italic. (Not widely supported)
+		*/
+		readonly italic: Chalk;
+
+		/**
+		Modifier: Make text underline. (Not widely supported)
+		*/
+		readonly underline: Chalk;
+
+		/**
+		Modifier: Inverse background and foreground colors.
+		*/
+		readonly inverse: Chalk;
+
+		/**
+		Modifier: Prints the text, but makes it invisible.
+		*/
+		readonly hidden: Chalk;
+
+		/**
+		Modifier: Puts a horizontal line through the center of the text. (Not widely supported)
+		*/
+		readonly strikethrough: Chalk;
+
+		/**
+		Modifier: Prints the text only when Chalk has a color support level > 0.
+		Can be useful for things that are purely cosmetic.
+		*/
+		readonly visible: Chalk;
+
+		readonly black: Chalk;
+		readonly red: Chalk;
+		readonly green: Chalk;
+		readonly yellow: Chalk;
+		readonly blue: Chalk;
+		readonly magenta: Chalk;
+		readonly cyan: Chalk;
+		readonly white: Chalk;
+
+		/*
+		Alias for `blackBright`.
+		*/
+		readonly gray: Chalk;
+
+		/*
+		Alias for `blackBright`.
+		*/
+		readonly grey: Chalk;
+
+		readonly blackBright: Chalk;
+		readonly redBright: Chalk;
+		readonly greenBright: Chalk;
+		readonly yellowBright: Chalk;
+		readonly blueBright: Chalk;
+		readonly magentaBright: Chalk;
+		readonly cyanBright: Chalk;
+		readonly whiteBright: Chalk;
+
+		readonly bgBlack: Chalk;
+		readonly bgRed: Chalk;
+		readonly bgGreen: Chalk;
+		readonly bgYellow: Chalk;
+		readonly bgBlue: Chalk;
+		readonly bgMagenta: Chalk;
+		readonly bgCyan: Chalk;
+		readonly bgWhite: Chalk;
+
+		/*
+		Alias for `bgBlackBright`.
+		*/
+		readonly bgGray: Chalk;
+
+		/*
+		Alias for `bgBlackBright`.
+		*/
+		readonly bgGrey: Chalk;
+
+		readonly bgBlackBright: Chalk;
+		readonly bgRedBright: Chalk;
+		readonly bgGreenBright: Chalk;
+		readonly bgYellowBright: Chalk;
+		readonly bgBlueBright: Chalk;
+		readonly bgMagentaBright: Chalk;
+		readonly bgCyanBright: Chalk;
+		readonly bgWhiteBright: Chalk;
+	}
+}
+
+/**
+Main Chalk object that allows to chain styles together.
+Call the last one as a method with a string argument.
+Order doesn't matter, and later styles take precedent in case of a conflict.
+This simply means that `chalk.red.yellow.green` is equivalent to `chalk.green`.
+*/
+declare const chalk: chalk.Chalk & chalk.ChalkFunction & {
+	supportsColor: chalk.ColorSupport | false;
+	Level: typeof LevelEnum;
+	Color: Color;
+	ForegroundColor: ForegroundColor;
+	BackgroundColor: BackgroundColor;
+	Modifiers: Modifiers;
+	stderr: chalk.Chalk & {supportsColor: chalk.ColorSupport | false};
+};
+
+export = chalk;
diff --git a/node_modules/windows-release/license b/node_modules/@jest/globals/node_modules/chalk/license
similarity index 100%
rename from node_modules/windows-release/license
rename to node_modules/@jest/globals/node_modules/chalk/license
diff --git a/node_modules/@jest/globals/node_modules/chalk/package.json b/node_modules/@jest/globals/node_modules/chalk/package.json
new file mode 100644
index 000000000..6c5ef0d53
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/chalk/package.json
@@ -0,0 +1,99 @@
+{
+  "_args": [
+    [
+      "chalk@3.0.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "chalk@3.0.0",
+  "_id": "chalk@3.0.0",
+  "_inBundle": false,
+  "_integrity": "sha512-4D3B6Wf41KOYRFdszmDqMCGq5VV/uMAB273JILmO+3jAlh8X4qDtdtgCR3fxtbLEMzSx22QdhnDcJvu2u1fVwg==",
+  "_location": "/@jest/globals/chalk",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "chalk@3.0.0",
+    "name": "chalk",
+    "escapedName": "chalk",
+    "rawSpec": "3.0.0",
+    "saveSpec": null,
+    "fetchSpec": "3.0.0"
+  },
+  "_requiredBy": [
+    "/@jest/globals/@jest/types"
+  ],
+  "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
+  "_spec": "3.0.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/chalk/chalk/issues"
+  },
+  "dependencies": {
+    "ansi-styles": "^4.1.0",
+    "supports-color": "^7.1.0"
+  },
+  "description": "Terminal string styling done right",
+  "devDependencies": {
+    "ava": "^2.4.0",
+    "coveralls": "^3.0.7",
+    "execa": "^3.2.0",
+    "import-fresh": "^3.1.0",
+    "matcha": "^0.7.0",
+    "nyc": "^14.1.1",
+    "resolve-from": "^5.0.0",
+    "tsd": "^0.7.4",
+    "xo": "^0.25.3"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "source",
+    "index.d.ts"
+  ],
+  "homepage": "https://github.com/chalk/chalk#readme",
+  "keywords": [
+    "color",
+    "colour",
+    "colors",
+    "terminal",
+    "console",
+    "cli",
+    "string",
+    "str",
+    "ansi",
+    "style",
+    "styles",
+    "tty",
+    "formatting",
+    "rgb",
+    "256",
+    "shell",
+    "xterm",
+    "log",
+    "logging",
+    "command-line",
+    "text"
+  ],
+  "license": "MIT",
+  "main": "source",
+  "name": "chalk",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/chalk/chalk.git"
+  },
+  "scripts": {
+    "bench": "matcha benchmark.js",
+    "test": "xo && nyc ava && tsd"
+  },
+  "version": "3.0.0",
+  "xo": {
+    "rules": {
+      "unicorn/prefer-string-slice": "off",
+      "unicorn/prefer-includes": "off"
+    }
+  }
+}
diff --git a/node_modules/@jest/globals/node_modules/chalk/readme.md b/node_modules/@jest/globals/node_modules/chalk/readme.md
new file mode 100644
index 000000000..877cb93b7
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/chalk/readme.md
@@ -0,0 +1,304 @@
+<h1 align="center">
+	<br>
+	<br>
+	<img width="320" src="media/logo.svg" alt="Chalk">
+	<br>
+	<br>
+	<br>
+</h1>
+
+> Terminal string styling done right
+
+[![Build Status](https://travis-ci.org/chalk/chalk.svg?branch=master)](https://travis-ci.org/chalk/chalk) [![Coverage Status](https://coveralls.io/repos/github/chalk/chalk/badge.svg?branch=master)](https://coveralls.io/github/chalk/chalk?branch=master) [![npm dependents](https://badgen.net/npm/dependents/chalk)](https://www.npmjs.com/package/chalk?activeTab=dependents) [![Downloads](https://badgen.net/npm/dt/chalk)](https://www.npmjs.com/package/chalk) [![](https://img.shields.io/badge/unicorn-approved-ff69b4.svg)](https://www.youtube.com/watch?v=9auOCbH5Ns4) [![XO code style](https://img.shields.io/badge/code_style-XO-5ed9c7.svg)](https://github.com/xojs/xo) ![TypeScript-ready](https://img.shields.io/npm/types/chalk.svg)
+
+<img src="https://cdn.jsdelivr.net/gh/chalk/ansi-styles@8261697c95bf34b6c7767e2cbe9941a851d59385/screenshot.svg" width="900">
+
+
+## Highlights
+
+- Expressive API
+- Highly performant
+- Ability to nest styles
+- [256/Truecolor color support](#256-and-truecolor-color-support)
+- Auto-detects color support
+- Doesn't extend `String.prototype`
+- Clean and focused
+- Actively maintained
+- [Used by ~46,000 packages](https://www.npmjs.com/browse/depended/chalk) as of October 1, 2019
+
+
+## Install
+
+```console
+$ npm install chalk
+```
+
+
+## Usage
+
+```js
+const chalk = require('chalk');
+
+console.log(chalk.blue('Hello world!'));
+```
+
+Chalk comes with an easy to use composable API where you just chain and nest the styles you want.
+
+```js
+const chalk = require('chalk');
+const log = console.log;
+
+// Combine styled and normal strings
+log(chalk.blue('Hello') + ' World' + chalk.red('!'));
+
+// Compose multiple styles using the chainable API
+log(chalk.blue.bgRed.bold('Hello world!'));
+
+// Pass in multiple arguments
+log(chalk.blue('Hello', 'World!', 'Foo', 'bar', 'biz', 'baz'));
+
+// Nest styles
+log(chalk.red('Hello', chalk.underline.bgBlue('world') + '!'));
+
+// Nest styles of the same type even (color, underline, background)
+log(chalk.green(
+	'I am a green line ' +
+	chalk.blue.underline.bold('with a blue substring') +
+	' that becomes green again!'
+));
+
+// ES2015 template literal
+log(`
+CPU: ${chalk.red('90%')}
+RAM: ${chalk.green('40%')}
+DISK: ${chalk.yellow('70%')}
+`);
+
+// ES2015 tagged template literal
+log(chalk`
+CPU: {red ${cpu.totalPercent}%}
+RAM: {green ${ram.used / ram.total * 100}%}
+DISK: {rgb(255,131,0) ${disk.used / disk.total * 100}%}
+`);
+
+// Use RGB colors in terminal emulators that support it.
+log(chalk.keyword('orange')('Yay for orange colored text!'));
+log(chalk.rgb(123, 45, 67).underline('Underlined reddish color'));
+log(chalk.hex('#DEADED').bold('Bold gray!'));
+```
+
+Easily define your own themes:
+
+```js
+const chalk = require('chalk');
+
+const error = chalk.bold.red;
+const warning = chalk.keyword('orange');
+
+console.log(error('Error!'));
+console.log(warning('Warning!'));
+```
+
+Take advantage of console.log [string substitution](https://nodejs.org/docs/latest/api/console.html#console_console_log_data_args):
+
+```js
+const name = 'Sindre';
+console.log(chalk.green('Hello %s'), name);
+//=> 'Hello Sindre'
+```
+
+
+## API
+
+### chalk.`<style>[.<style>...](string, [string...])`
+
+Example: `chalk.red.bold.underline('Hello', 'world');`
+
+Chain [styles](#styles) and call the last one as a method with a string argument. Order doesn't matter, and later styles take precedent in case of a conflict. This simply means that `chalk.red.yellow.green` is equivalent to `chalk.green`.
+
+Multiple arguments will be separated by space.
+
+### chalk.level
+
+Specifies the level of color support.
+
+Color support is automatically detected, but you can override it by setting the `level` property. You should however only do this in your own code as it applies globally to all Chalk consumers.
+
+If you need to change this in a reusable module, create a new instance:
+
+```js
+const ctx = new chalk.Instance({level: 0});
+```
+
+| Level | Description |
+| :---: | :--- |
+| `0` | All colors disabled |
+| `1` | Basic color support (16 colors) |
+| `2` | 256 color support |
+| `3` | Truecolor support (16 million colors) |
+
+### chalk.supportsColor
+
+Detect whether the terminal [supports color](https://github.com/chalk/supports-color). Used internally and handled for you, but exposed for convenience.
+
+Can be overridden by the user with the flags `--color` and `--no-color`. For situations where using `--color` is not possible, use the environment variable `FORCE_COLOR=1` (level 1), `FORCE_COLOR=2` (level 2), or `FORCE_COLOR=3` (level 3) to forcefully enable color, or `FORCE_COLOR=0` to forcefully disable. The use of `FORCE_COLOR` overrides all other color support checks.
+
+Explicit 256/Truecolor mode can be enabled using the `--color=256` and `--color=16m` flags, respectively.
+
+### chalk.stderr and chalk.stderr.supportsColor
+
+`chalk.stderr` contains a separate instance configured with color support detected for `stderr` stream instead of `stdout`. Override rules from `chalk.supportsColor` apply to this too. `chalk.stderr.supportsColor` is exposed for convenience.
+
+
+## Styles
+
+### Modifiers
+
+- `reset` - Resets the current color chain.
+- `bold` - Make text bold.
+- `dim` - Emitting only a small amount of light.
+- `italic` - Make text italic. *(Not widely supported)*
+- `underline` - Make text underline. *(Not widely supported)*
+- `inverse`- Inverse background and foreground colors.
+- `hidden` - Prints the text, but makes it invisible.
+- `strikethrough` - Puts a horizontal line through the center of the text. *(Not widely supported)*
+- `visible`- Prints the text only when Chalk has a color level > 0. Can be useful for things that are purely cosmetic.
+
+### Colors
+
+- `black`
+- `red`
+- `green`
+- `yellow`
+- `blue`
+- `magenta`
+- `cyan`
+- `white`
+- `blackBright` (alias: `gray`, `grey`)
+- `redBright`
+- `greenBright`
+- `yellowBright`
+- `blueBright`
+- `magentaBright`
+- `cyanBright`
+- `whiteBright`
+
+### Background colors
+
+- `bgBlack`
+- `bgRed`
+- `bgGreen`
+- `bgYellow`
+- `bgBlue`
+- `bgMagenta`
+- `bgCyan`
+- `bgWhite`
+- `bgBlackBright` (alias: `bgGray`, `bgGrey`)
+- `bgRedBright`
+- `bgGreenBright`
+- `bgYellowBright`
+- `bgBlueBright`
+- `bgMagentaBright`
+- `bgCyanBright`
+- `bgWhiteBright`
+
+
+## Tagged template literal
+
+Chalk can be used as a [tagged template literal](http://exploringjs.com/es6/ch_template-literals.html#_tagged-template-literals).
+
+```js
+const chalk = require('chalk');
+
+const miles = 18;
+const calculateFeet = miles => miles * 5280;
+
+console.log(chalk`
+	There are {bold 5280 feet} in a mile.
+	In {bold ${miles} miles}, there are {green.bold ${calculateFeet(miles)} feet}.
+`);
+```
+
+Blocks are delimited by an opening curly brace (`{`), a style, some content, and a closing curly brace (`}`).
+
+Template styles are chained exactly like normal Chalk styles. The following two statements are equivalent:
+
+```js
+console.log(chalk.bold.rgb(10, 100, 200)('Hello!'));
+console.log(chalk`{bold.rgb(10,100,200) Hello!}`);
+```
+
+Note that function styles (`rgb()`, `hsl()`, `keyword()`, etc.) may not contain spaces between parameters.
+
+All interpolated values (`` chalk`${foo}` ``) are converted to strings via the `.toString()` method. All curly braces (`{` and `}`) in interpolated value strings are escaped.
+
+
+## 256 and Truecolor color support
+
+Chalk supports 256 colors and [Truecolor](https://gist.github.com/XVilka/8346728) (16 million colors) on supported terminal apps.
+
+Colors are downsampled from 16 million RGB values to an ANSI color format that is supported by the terminal emulator (or by specifying `{level: n}` as a Chalk option). For example, Chalk configured to run at level 1 (basic color support) will downsample an RGB value of #FF0000 (red) to 31 (ANSI escape for red).
+
+Examples:
+
+- `chalk.hex('#DEADED').underline('Hello, world!')`
+- `chalk.keyword('orange')('Some orange text')`
+- `chalk.rgb(15, 100, 204).inverse('Hello!')`
+
+Background versions of these models are prefixed with `bg` and the first level of the module capitalized (e.g. `keyword` for foreground colors and `bgKeyword` for background colors).
+
+- `chalk.bgHex('#DEADED').underline('Hello, world!')`
+- `chalk.bgKeyword('orange')('Some orange text')`
+- `chalk.bgRgb(15, 100, 204).inverse('Hello!')`
+
+The following color models can be used:
+
+- [`rgb`](https://en.wikipedia.org/wiki/RGB_color_model) - Example: `chalk.rgb(255, 136, 0).bold('Orange!')`
+- [`hex`](https://en.wikipedia.org/wiki/Web_colors#Hex_triplet) - Example: `chalk.hex('#FF8800').bold('Orange!')`
+- [`keyword`](https://www.w3.org/wiki/CSS/Properties/color/keywords) (CSS keywords) - Example: `chalk.keyword('orange').bold('Orange!')`
+- [`hsl`](https://en.wikipedia.org/wiki/HSL_and_HSV) - Example: `chalk.hsl(32, 100, 50).bold('Orange!')`
+- [`hsv`](https://en.wikipedia.org/wiki/HSL_and_HSV) - Example: `chalk.hsv(32, 100, 100).bold('Orange!')`
+- [`hwb`](https://en.wikipedia.org/wiki/HWB_color_model) - Example: `chalk.hwb(32, 0, 50).bold('Orange!')`
+- [`ansi`](https://en.wikipedia.org/wiki/ANSI_escape_code#3/4_bit) - Example: `chalk.ansi(31).bgAnsi(93)('red on yellowBright')`
+- [`ansi256`](https://en.wikipedia.org/wiki/ANSI_escape_code#8-bit) - Example: `chalk.bgAnsi256(194)('Honeydew, more or less')`
+
+
+## Windows
+
+If you're on Windows, do yourself a favor and use [Windows Terminal](https://github.com/microsoft/terminal) instead of `cmd.exe`.
+
+
+## Origin story
+
+[colors.js](https://github.com/Marak/colors.js) used to be the most popular string styling module, but it has serious deficiencies like extending `String.prototype` which causes all kinds of [problems](https://github.com/yeoman/yo/issues/68) and the package is unmaintained. Although there are other packages, they either do too much or not enough. Chalk is a clean and focused alternative.
+
+
+## chalk for enterprise
+
+Available as part of the Tidelift Subscription.
+
+The maintainers of chalk and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. [Learn more.](https://tidelift.com/subscription/pkg/npm-chalk?utm_source=npm-chalk&utm_medium=referral&utm_campaign=enterprise&utm_term=repo)
+
+
+## Related
+
+- [chalk-cli](https://github.com/chalk/chalk-cli) - CLI for this module
+- [ansi-styles](https://github.com/chalk/ansi-styles) - ANSI escape codes for styling strings in the terminal
+- [supports-color](https://github.com/chalk/supports-color) - Detect whether a terminal supports color
+- [strip-ansi](https://github.com/chalk/strip-ansi) - Strip ANSI escape codes
+- [strip-ansi-stream](https://github.com/chalk/strip-ansi-stream) - Strip ANSI escape codes from a stream
+- [has-ansi](https://github.com/chalk/has-ansi) - Check if a string has ANSI escape codes
+- [ansi-regex](https://github.com/chalk/ansi-regex) - Regular expression for matching ANSI escape codes
+- [wrap-ansi](https://github.com/chalk/wrap-ansi) - Wordwrap a string with ANSI escape codes
+- [slice-ansi](https://github.com/chalk/slice-ansi) - Slice a string with ANSI escape codes
+- [color-convert](https://github.com/qix-/color-convert) - Converts colors between different models
+- [chalk-animation](https://github.com/bokub/chalk-animation) - Animate strings in the terminal
+- [gradient-string](https://github.com/bokub/gradient-string) - Apply color gradients to strings
+- [chalk-pipe](https://github.com/LitoMore/chalk-pipe) - Create chalk style schemes with simpler style strings
+- [terminal-link](https://github.com/sindresorhus/terminal-link) - Create clickable links in the terminal
+
+
+## Maintainers
+
+- [Sindre Sorhus](https://github.com/sindresorhus)
+- [Josh Junon](https://github.com/qix-)
diff --git a/node_modules/@jest/globals/node_modules/chalk/source/index.js b/node_modules/@jest/globals/node_modules/chalk/source/index.js
new file mode 100644
index 000000000..53fcc168b
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/chalk/source/index.js
@@ -0,0 +1,233 @@
+'use strict';
+const ansiStyles = require('ansi-styles');
+const {stdout: stdoutColor, stderr: stderrColor} = require('supports-color');
+const {
+	stringReplaceAll,
+	stringEncaseCRLFWithFirstIndex
+} = require('./util');
+
+// `supportsColor.level` → `ansiStyles.color[name]` mapping
+const levelMapping = [
+	'ansi',
+	'ansi',
+	'ansi256',
+	'ansi16m'
+];
+
+const styles = Object.create(null);
+
+const applyOptions = (object, options = {}) => {
+	if (options.level > 3 || options.level < 0) {
+		throw new Error('The `level` option should be an integer from 0 to 3');
+	}
+
+	// Detect level if not set manually
+	const colorLevel = stdoutColor ? stdoutColor.level : 0;
+	object.level = options.level === undefined ? colorLevel : options.level;
+};
+
+class ChalkClass {
+	constructor(options) {
+		return chalkFactory(options);
+	}
+}
+
+const chalkFactory = options => {
+	const chalk = {};
+	applyOptions(chalk, options);
+
+	chalk.template = (...arguments_) => chalkTag(chalk.template, ...arguments_);
+
+	Object.setPrototypeOf(chalk, Chalk.prototype);
+	Object.setPrototypeOf(chalk.template, chalk);
+
+	chalk.template.constructor = () => {
+		throw new Error('`chalk.constructor()` is deprecated. Use `new chalk.Instance()` instead.');
+	};
+
+	chalk.template.Instance = ChalkClass;
+
+	return chalk.template;
+};
+
+function Chalk(options) {
+	return chalkFactory(options);
+}
+
+for (const [styleName, style] of Object.entries(ansiStyles)) {
+	styles[styleName] = {
+		get() {
+			const builder = createBuilder(this, createStyler(style.open, style.close, this._styler), this._isEmpty);
+			Object.defineProperty(this, styleName, {value: builder});
+			return builder;
+		}
+	};
+}
+
+styles.visible = {
+	get() {
+		const builder = createBuilder(this, this._styler, true);
+		Object.defineProperty(this, 'visible', {value: builder});
+		return builder;
+	}
+};
+
+const usedModels = ['rgb', 'hex', 'keyword', 'hsl', 'hsv', 'hwb', 'ansi', 'ansi256'];
+
+for (const model of usedModels) {
+	styles[model] = {
+		get() {
+			const {level} = this;
+			return function (...arguments_) {
+				const styler = createStyler(ansiStyles.color[levelMapping[level]][model](...arguments_), ansiStyles.color.close, this._styler);
+				return createBuilder(this, styler, this._isEmpty);
+			};
+		}
+	};
+}
+
+for (const model of usedModels) {
+	const bgModel = 'bg' + model[0].toUpperCase() + model.slice(1);
+	styles[bgModel] = {
+		get() {
+			const {level} = this;
+			return function (...arguments_) {
+				const styler = createStyler(ansiStyles.bgColor[levelMapping[level]][model](...arguments_), ansiStyles.bgColor.close, this._styler);
+				return createBuilder(this, styler, this._isEmpty);
+			};
+		}
+	};
+}
+
+const proto = Object.defineProperties(() => {}, {
+	...styles,
+	level: {
+		enumerable: true,
+		get() {
+			return this._generator.level;
+		},
+		set(level) {
+			this._generator.level = level;
+		}
+	}
+});
+
+const createStyler = (open, close, parent) => {
+	let openAll;
+	let closeAll;
+	if (parent === undefined) {
+		openAll = open;
+		closeAll = close;
+	} else {
+		openAll = parent.openAll + open;
+		closeAll = close + parent.closeAll;
+	}
+
+	return {
+		open,
+		close,
+		openAll,
+		closeAll,
+		parent
+	};
+};
+
+const createBuilder = (self, _styler, _isEmpty) => {
+	const builder = (...arguments_) => {
+		// Single argument is hot path, implicit coercion is faster than anything
+		// eslint-disable-next-line no-implicit-coercion
+		return applyStyle(builder, (arguments_.length === 1) ? ('' + arguments_[0]) : arguments_.join(' '));
+	};
+
+	// `__proto__` is used because we must return a function, but there is
+	// no way to create a function with a different prototype
+	builder.__proto__ = proto; // eslint-disable-line no-proto
+
+	builder._generator = self;
+	builder._styler = _styler;
+	builder._isEmpty = _isEmpty;
+
+	return builder;
+};
+
+const applyStyle = (self, string) => {
+	if (self.level <= 0 || !string) {
+		return self._isEmpty ? '' : string;
+	}
+
+	let styler = self._styler;
+
+	if (styler === undefined) {
+		return string;
+	}
+
+	const {openAll, closeAll} = styler;
+	if (string.indexOf('\u001B') !== -1) {
+		while (styler !== undefined) {
+			// Replace any instances already present with a re-opening code
+			// otherwise only the part of the string until said closing code
+			// will be colored, and the rest will simply be 'plain'.
+			string = stringReplaceAll(string, styler.close, styler.open);
+
+			styler = styler.parent;
+		}
+	}
+
+	// We can move both next actions out of loop, because remaining actions in loop won't have
+	// any/visible effect on parts we add here. Close the styling before a linebreak and reopen
+	// after next line to fix a bleed issue on macOS: https://github.com/chalk/chalk/pull/92
+	const lfIndex = string.indexOf('\n');
+	if (lfIndex !== -1) {
+		string = stringEncaseCRLFWithFirstIndex(string, closeAll, openAll, lfIndex);
+	}
+
+	return openAll + string + closeAll;
+};
+
+let template;
+const chalkTag = (chalk, ...strings) => {
+	const [firstString] = strings;
+
+	if (!Array.isArray(firstString)) {
+		// If chalk() was called by itself or with a string,
+		// return the string itself as a string.
+		return strings.join(' ');
+	}
+
+	const arguments_ = strings.slice(1);
+	const parts = [firstString.raw[0]];
+
+	for (let i = 1; i < firstString.length; i++) {
+		parts.push(
+			String(arguments_[i - 1]).replace(/[{}\\]/g, '\\$&'),
+			String(firstString.raw[i])
+		);
+	}
+
+	if (template === undefined) {
+		template = require('./templates');
+	}
+
+	return template(chalk, parts.join(''));
+};
+
+Object.defineProperties(Chalk.prototype, styles);
+
+const chalk = Chalk(); // eslint-disable-line new-cap
+chalk.supportsColor = stdoutColor;
+chalk.stderr = Chalk({level: stderrColor ? stderrColor.level : 0}); // eslint-disable-line new-cap
+chalk.stderr.supportsColor = stderrColor;
+
+// For TypeScript
+chalk.Level = {
+	None: 0,
+	Basic: 1,
+	Ansi256: 2,
+	TrueColor: 3,
+	0: 'None',
+	1: 'Basic',
+	2: 'Ansi256',
+	3: 'TrueColor'
+};
+
+module.exports = chalk;
diff --git a/node_modules/@jest/globals/node_modules/chalk/source/templates.js b/node_modules/@jest/globals/node_modules/chalk/source/templates.js
new file mode 100644
index 000000000..fe94642b4
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/chalk/source/templates.js
@@ -0,0 +1,134 @@
+'use strict';
+const TEMPLATE_REGEX = /(?:\\(u(?:[a-f\d]{4}|\{[a-f\d]{1,6}\})|x[a-f\d]{2}|.))|(?:\{(~)?(\w+(?:\([^)]*\))?(?:\.\w+(?:\([^)]*\))?)*)(?:[ \t]|(?=\r?\n)))|(\})|((?:.|[\r\n\f])+?)/gi;
+const STYLE_REGEX = /(?:^|\.)(\w+)(?:\(([^)]*)\))?/g;
+const STRING_REGEX = /^(['"])((?:\\.|(?!\1)[^\\])*)\1$/;
+const ESCAPE_REGEX = /\\(u(?:[a-f\d]{4}|\{[a-f\d]{1,6}\})|x[a-f\d]{2}|.)|([^\\])/gi;
+
+const ESCAPES = new Map([
+	['n', '\n'],
+	['r', '\r'],
+	['t', '\t'],
+	['b', '\b'],
+	['f', '\f'],
+	['v', '\v'],
+	['0', '\0'],
+	['\\', '\\'],
+	['e', '\u001B'],
+	['a', '\u0007']
+]);
+
+function unescape(c) {
+	const u = c[0] === 'u';
+	const bracket = c[1] === '{';
+
+	if ((u && !bracket && c.length === 5) || (c[0] === 'x' && c.length === 3)) {
+		return String.fromCharCode(parseInt(c.slice(1), 16));
+	}
+
+	if (u && bracket) {
+		return String.fromCodePoint(parseInt(c.slice(2, -1), 16));
+	}
+
+	return ESCAPES.get(c) || c;
+}
+
+function parseArguments(name, arguments_) {
+	const results = [];
+	const chunks = arguments_.trim().split(/\s*,\s*/g);
+	let matches;
+
+	for (const chunk of chunks) {
+		const number = Number(chunk);
+		if (!Number.isNaN(number)) {
+			results.push(number);
+		} else if ((matches = chunk.match(STRING_REGEX))) {
+			results.push(matches[2].replace(ESCAPE_REGEX, (m, escape, character) => escape ? unescape(escape) : character));
+		} else {
+			throw new Error(`Invalid Chalk template style argument: ${chunk} (in style '${name}')`);
+		}
+	}
+
+	return results;
+}
+
+function parseStyle(style) {
+	STYLE_REGEX.lastIndex = 0;
+
+	const results = [];
+	let matches;
+
+	while ((matches = STYLE_REGEX.exec(style)) !== null) {
+		const name = matches[1];
+
+		if (matches[2]) {
+			const args = parseArguments(name, matches[2]);
+			results.push([name].concat(args));
+		} else {
+			results.push([name]);
+		}
+	}
+
+	return results;
+}
+
+function buildStyle(chalk, styles) {
+	const enabled = {};
+
+	for (const layer of styles) {
+		for (const style of layer.styles) {
+			enabled[style[0]] = layer.inverse ? null : style.slice(1);
+		}
+	}
+
+	let current = chalk;
+	for (const [styleName, styles] of Object.entries(enabled)) {
+		if (!Array.isArray(styles)) {
+			continue;
+		}
+
+		if (!(styleName in current)) {
+			throw new Error(`Unknown Chalk style: ${styleName}`);
+		}
+
+		current = styles.length > 0 ? current[styleName](...styles) : current[styleName];
+	}
+
+	return current;
+}
+
+module.exports = (chalk, temporary) => {
+	const styles = [];
+	const chunks = [];
+	let chunk = [];
+
+	// eslint-disable-next-line max-params
+	temporary.replace(TEMPLATE_REGEX, (m, escapeCharacter, inverse, style, close, character) => {
+		if (escapeCharacter) {
+			chunk.push(unescape(escapeCharacter));
+		} else if (style) {
+			const string = chunk.join('');
+			chunk = [];
+			chunks.push(styles.length === 0 ? string : buildStyle(chalk, styles)(string));
+			styles.push({inverse, styles: parseStyle(style)});
+		} else if (close) {
+			if (styles.length === 0) {
+				throw new Error('Found extraneous } in Chalk template literal');
+			}
+
+			chunks.push(buildStyle(chalk, styles)(chunk.join('')));
+			chunk = [];
+			styles.pop();
+		} else {
+			chunk.push(character);
+		}
+	});
+
+	chunks.push(chunk.join(''));
+
+	if (styles.length > 0) {
+		const errMsg = `Chalk template literal is missing ${styles.length} closing bracket${styles.length === 1 ? '' : 's'} (\`}\`)`;
+		throw new Error(errMsg);
+	}
+
+	return chunks.join('');
+};
diff --git a/node_modules/@jest/globals/node_modules/chalk/source/util.js b/node_modules/@jest/globals/node_modules/chalk/source/util.js
new file mode 100644
index 000000000..ca466fd46
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/chalk/source/util.js
@@ -0,0 +1,39 @@
+'use strict';
+
+const stringReplaceAll = (string, substring, replacer) => {
+	let index = string.indexOf(substring);
+	if (index === -1) {
+		return string;
+	}
+
+	const substringLength = substring.length;
+	let endIndex = 0;
+	let returnValue = '';
+	do {
+		returnValue += string.substr(endIndex, index - endIndex) + substring + replacer;
+		endIndex = index + substringLength;
+		index = string.indexOf(substring, endIndex);
+	} while (index !== -1);
+
+	returnValue += string.substr(endIndex);
+	return returnValue;
+};
+
+const stringEncaseCRLFWithFirstIndex = (string, prefix, postfix, index) => {
+	let endIndex = 0;
+	let returnValue = '';
+	do {
+		const gotCR = string[index - 1] === '\r';
+		returnValue += string.substr(endIndex, (gotCR ? index - 1 : index) - endIndex) + prefix + (gotCR ? '\r\n' : '\n') + postfix;
+		endIndex = index + 1;
+		index = string.indexOf('\n', endIndex);
+	} while (index !== -1);
+
+	returnValue += string.substr(endIndex);
+	return returnValue;
+};
+
+module.exports = {
+	stringReplaceAll,
+	stringEncaseCRLFWithFirstIndex
+};
diff --git a/node_modules/@jest/globals/node_modules/color-convert/CHANGELOG.md b/node_modules/@jest/globals/node_modules/color-convert/CHANGELOG.md
new file mode 100644
index 000000000..0a7bce4fd
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-convert/CHANGELOG.md
@@ -0,0 +1,54 @@
+# 1.0.0 - 2016-01-07
+
+- Removed: unused speed test
+- Added: Automatic routing between previously unsupported conversions
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Removed: `xxx2xxx()` and `xxx2xxxRaw()` functions
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Removed: `convert()` class
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Changed: all functions to lookup dictionary
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Changed: `ansi` to `ansi256`
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Fixed: argument grouping for functions requiring only one argument
+([#27](https://github.com/Qix-/color-convert/pull/27))
+
+# 0.6.0 - 2015-07-23
+
+- Added: methods to handle
+[ANSI](https://en.wikipedia.org/wiki/ANSI_escape_code#Colors) 16/256 colors:
+  - rgb2ansi16
+  - rgb2ansi
+  - hsl2ansi16
+  - hsl2ansi
+  - hsv2ansi16
+  - hsv2ansi
+  - hwb2ansi16
+  - hwb2ansi
+  - cmyk2ansi16
+  - cmyk2ansi
+  - keyword2ansi16
+  - keyword2ansi
+  - ansi162rgb
+  - ansi162hsl
+  - ansi162hsv
+  - ansi162hwb
+  - ansi162cmyk
+  - ansi162keyword
+  - ansi2rgb
+  - ansi2hsl
+  - ansi2hsv
+  - ansi2hwb
+  - ansi2cmyk
+  - ansi2keyword
+([#18](https://github.com/harthur/color-convert/pull/18))
+
+# 0.5.3 - 2015-06-02
+
+- Fixed: hsl2hsv does not return `NaN` anymore when using `[0,0,0]`
+([#15](https://github.com/harthur/color-convert/issues/15))
+
+---
+
+Check out commit logs for older releases
diff --git a/node_modules/@jest/globals/node_modules/color-convert/LICENSE b/node_modules/@jest/globals/node_modules/color-convert/LICENSE
new file mode 100644
index 000000000..5b4c386f9
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-convert/LICENSE
@@ -0,0 +1,21 @@
+Copyright (c) 2011-2016 Heather Arthur <fayearthur@gmail.com>
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
diff --git a/node_modules/@jest/globals/node_modules/color-convert/README.md b/node_modules/@jest/globals/node_modules/color-convert/README.md
new file mode 100644
index 000000000..d4b08fc36
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-convert/README.md
@@ -0,0 +1,68 @@
+# color-convert
+
+[![Build Status](https://travis-ci.org/Qix-/color-convert.svg?branch=master)](https://travis-ci.org/Qix-/color-convert)
+
+Color-convert is a color conversion library for JavaScript and node.
+It converts all ways between `rgb`, `hsl`, `hsv`, `hwb`, `cmyk`, `ansi`, `ansi16`, `hex` strings, and CSS `keyword`s (will round to closest):
+
+```js
+var convert = require('color-convert');
+
+convert.rgb.hsl(140, 200, 100);             // [96, 48, 59]
+convert.keyword.rgb('blue');                // [0, 0, 255]
+
+var rgbChannels = convert.rgb.channels;     // 3
+var cmykChannels = convert.cmyk.channels;   // 4
+var ansiChannels = convert.ansi16.channels; // 1
+```
+
+# Install
+
+```console
+$ npm install color-convert
+```
+
+# API
+
+Simply get the property of the _from_ and _to_ conversion that you're looking for.
+
+All functions have a rounded and unrounded variant. By default, return values are rounded. To get the unrounded (raw) results, simply tack on `.raw` to the function.
+
+All 'from' functions have a hidden property called `.channels` that indicates the number of channels the function expects (not including alpha).
+
+```js
+var convert = require('color-convert');
+
+// Hex to LAB
+convert.hex.lab('DEADBF');         // [ 76, 21, -2 ]
+convert.hex.lab.raw('DEADBF');     // [ 75.56213190997677, 20.653827952644754, -2.290532499330533 ]
+
+// RGB to CMYK
+convert.rgb.cmyk(167, 255, 4);     // [ 35, 0, 98, 0 ]
+convert.rgb.cmyk.raw(167, 255, 4); // [ 34.509803921568626, 0, 98.43137254901961, 0 ]
+```
+
+### Arrays
+All functions that accept multiple arguments also support passing an array.
+
+Note that this does **not** apply to functions that convert from a color that only requires one value (e.g. `keyword`, `ansi256`, `hex`, etc.)
+
+```js
+var convert = require('color-convert');
+
+convert.rgb.hex(123, 45, 67);      // '7B2D43'
+convert.rgb.hex([123, 45, 67]);    // '7B2D43'
+```
+
+## Routing
+
+Conversions that don't have an _explicitly_ defined conversion (in [conversions.js](conversions.js)), but can be converted by means of sub-conversions (e.g. XYZ -> **RGB** -> CMYK), are automatically routed together. This allows just about any color model supported by `color-convert` to be converted to any other model, so long as a sub-conversion path exists. This is also true for conversions requiring more than one step in between (e.g. LCH -> **LAB** -> **XYZ** -> **RGB** -> Hex).
+
+Keep in mind that extensive conversions _may_ result in a loss of precision, and exist only to be complete. For a list of "direct" (single-step) conversions, see [conversions.js](conversions.js).
+
+# Contribute
+
+If there is a new model you would like to support, or want to add a direct conversion between two existing models, please send us a pull request.
+
+# License
+Copyright &copy; 2011-2016, Heather Arthur and Josh Junon. Licensed under the [MIT License](LICENSE).
diff --git a/node_modules/@jest/globals/node_modules/color-convert/conversions.js b/node_modules/@jest/globals/node_modules/color-convert/conversions.js
new file mode 100644
index 000000000..2657f265c
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-convert/conversions.js
@@ -0,0 +1,839 @@
+/* MIT license */
+/* eslint-disable no-mixed-operators */
+const cssKeywords = require('color-name');
+
+// NOTE: conversions should only return primitive values (i.e. arrays, or
+//       values that give correct `typeof` results).
+//       do not use box values types (i.e. Number(), String(), etc.)
+
+const reverseKeywords = {};
+for (const key of Object.keys(cssKeywords)) {
+	reverseKeywords[cssKeywords[key]] = key;
+}
+
+const convert = {
+	rgb: {channels: 3, labels: 'rgb'},
+	hsl: {channels: 3, labels: 'hsl'},
+	hsv: {channels: 3, labels: 'hsv'},
+	hwb: {channels: 3, labels: 'hwb'},
+	cmyk: {channels: 4, labels: 'cmyk'},
+	xyz: {channels: 3, labels: 'xyz'},
+	lab: {channels: 3, labels: 'lab'},
+	lch: {channels: 3, labels: 'lch'},
+	hex: {channels: 1, labels: ['hex']},
+	keyword: {channels: 1, labels: ['keyword']},
+	ansi16: {channels: 1, labels: ['ansi16']},
+	ansi256: {channels: 1, labels: ['ansi256']},
+	hcg: {channels: 3, labels: ['h', 'c', 'g']},
+	apple: {channels: 3, labels: ['r16', 'g16', 'b16']},
+	gray: {channels: 1, labels: ['gray']}
+};
+
+module.exports = convert;
+
+// Hide .channels and .labels properties
+for (const model of Object.keys(convert)) {
+	if (!('channels' in convert[model])) {
+		throw new Error('missing channels property: ' + model);
+	}
+
+	if (!('labels' in convert[model])) {
+		throw new Error('missing channel labels property: ' + model);
+	}
+
+	if (convert[model].labels.length !== convert[model].channels) {
+		throw new Error('channel and label counts mismatch: ' + model);
+	}
+
+	const {channels, labels} = convert[model];
+	delete convert[model].channels;
+	delete convert[model].labels;
+	Object.defineProperty(convert[model], 'channels', {value: channels});
+	Object.defineProperty(convert[model], 'labels', {value: labels});
+}
+
+convert.rgb.hsl = function (rgb) {
+	const r = rgb[0] / 255;
+	const g = rgb[1] / 255;
+	const b = rgb[2] / 255;
+	const min = Math.min(r, g, b);
+	const max = Math.max(r, g, b);
+	const delta = max - min;
+	let h;
+	let s;
+
+	if (max === min) {
+		h = 0;
+	} else if (r === max) {
+		h = (g - b) / delta;
+	} else if (g === max) {
+		h = 2 + (b - r) / delta;
+	} else if (b === max) {
+		h = 4 + (r - g) / delta;
+	}
+
+	h = Math.min(h * 60, 360);
+
+	if (h < 0) {
+		h += 360;
+	}
+
+	const l = (min + max) / 2;
+
+	if (max === min) {
+		s = 0;
+	} else if (l <= 0.5) {
+		s = delta / (max + min);
+	} else {
+		s = delta / (2 - max - min);
+	}
+
+	return [h, s * 100, l * 100];
+};
+
+convert.rgb.hsv = function (rgb) {
+	let rdif;
+	let gdif;
+	let bdif;
+	let h;
+	let s;
+
+	const r = rgb[0] / 255;
+	const g = rgb[1] / 255;
+	const b = rgb[2] / 255;
+	const v = Math.max(r, g, b);
+	const diff = v - Math.min(r, g, b);
+	const diffc = function (c) {
+		return (v - c) / 6 / diff + 1 / 2;
+	};
+
+	if (diff === 0) {
+		h = 0;
+		s = 0;
+	} else {
+		s = diff / v;
+		rdif = diffc(r);
+		gdif = diffc(g);
+		bdif = diffc(b);
+
+		if (r === v) {
+			h = bdif - gdif;
+		} else if (g === v) {
+			h = (1 / 3) + rdif - bdif;
+		} else if (b === v) {
+			h = (2 / 3) + gdif - rdif;
+		}
+
+		if (h < 0) {
+			h += 1;
+		} else if (h > 1) {
+			h -= 1;
+		}
+	}
+
+	return [
+		h * 360,
+		s * 100,
+		v * 100
+	];
+};
+
+convert.rgb.hwb = function (rgb) {
+	const r = rgb[0];
+	const g = rgb[1];
+	let b = rgb[2];
+	const h = convert.rgb.hsl(rgb)[0];
+	const w = 1 / 255 * Math.min(r, Math.min(g, b));
+
+	b = 1 - 1 / 255 * Math.max(r, Math.max(g, b));
+
+	return [h, w * 100, b * 100];
+};
+
+convert.rgb.cmyk = function (rgb) {
+	const r = rgb[0] / 255;
+	const g = rgb[1] / 255;
+	const b = rgb[2] / 255;
+
+	const k = Math.min(1 - r, 1 - g, 1 - b);
+	const c = (1 - r - k) / (1 - k) || 0;
+	const m = (1 - g - k) / (1 - k) || 0;
+	const y = (1 - b - k) / (1 - k) || 0;
+
+	return [c * 100, m * 100, y * 100, k * 100];
+};
+
+function comparativeDistance(x, y) {
+	/*
+		See https://en.m.wikipedia.org/wiki/Euclidean_distance#Squared_Euclidean_distance
+	*/
+	return (
+		((x[0] - y[0]) ** 2) +
+		((x[1] - y[1]) ** 2) +
+		((x[2] - y[2]) ** 2)
+	);
+}
+
+convert.rgb.keyword = function (rgb) {
+	const reversed = reverseKeywords[rgb];
+	if (reversed) {
+		return reversed;
+	}
+
+	let currentClosestDistance = Infinity;
+	let currentClosestKeyword;
+
+	for (const keyword of Object.keys(cssKeywords)) {
+		const value = cssKeywords[keyword];
+
+		// Compute comparative distance
+		const distance = comparativeDistance(rgb, value);
+
+		// Check if its less, if so set as closest
+		if (distance < currentClosestDistance) {
+			currentClosestDistance = distance;
+			currentClosestKeyword = keyword;
+		}
+	}
+
+	return currentClosestKeyword;
+};
+
+convert.keyword.rgb = function (keyword) {
+	return cssKeywords[keyword];
+};
+
+convert.rgb.xyz = function (rgb) {
+	let r = rgb[0] / 255;
+	let g = rgb[1] / 255;
+	let b = rgb[2] / 255;
+
+	// Assume sRGB
+	r = r > 0.04045 ? (((r + 0.055) / 1.055) ** 2.4) : (r / 12.92);
+	g = g > 0.04045 ? (((g + 0.055) / 1.055) ** 2.4) : (g / 12.92);
+	b = b > 0.04045 ? (((b + 0.055) / 1.055) ** 2.4) : (b / 12.92);
+
+	const x = (r * 0.4124) + (g * 0.3576) + (b * 0.1805);
+	const y = (r * 0.2126) + (g * 0.7152) + (b * 0.0722);
+	const z = (r * 0.0193) + (g * 0.1192) + (b * 0.9505);
+
+	return [x * 100, y * 100, z * 100];
+};
+
+convert.rgb.lab = function (rgb) {
+	const xyz = convert.rgb.xyz(rgb);
+	let x = xyz[0];
+	let y = xyz[1];
+	let z = xyz[2];
+
+	x /= 95.047;
+	y /= 100;
+	z /= 108.883;
+
+	x = x > 0.008856 ? (x ** (1 / 3)) : (7.787 * x) + (16 / 116);
+	y = y > 0.008856 ? (y ** (1 / 3)) : (7.787 * y) + (16 / 116);
+	z = z > 0.008856 ? (z ** (1 / 3)) : (7.787 * z) + (16 / 116);
+
+	const l = (116 * y) - 16;
+	const a = 500 * (x - y);
+	const b = 200 * (y - z);
+
+	return [l, a, b];
+};
+
+convert.hsl.rgb = function (hsl) {
+	const h = hsl[0] / 360;
+	const s = hsl[1] / 100;
+	const l = hsl[2] / 100;
+	let t2;
+	let t3;
+	let val;
+
+	if (s === 0) {
+		val = l * 255;
+		return [val, val, val];
+	}
+
+	if (l < 0.5) {
+		t2 = l * (1 + s);
+	} else {
+		t2 = l + s - l * s;
+	}
+
+	const t1 = 2 * l - t2;
+
+	const rgb = [0, 0, 0];
+	for (let i = 0; i < 3; i++) {
+		t3 = h + 1 / 3 * -(i - 1);
+		if (t3 < 0) {
+			t3++;
+		}
+
+		if (t3 > 1) {
+			t3--;
+		}
+
+		if (6 * t3 < 1) {
+			val = t1 + (t2 - t1) * 6 * t3;
+		} else if (2 * t3 < 1) {
+			val = t2;
+		} else if (3 * t3 < 2) {
+			val = t1 + (t2 - t1) * (2 / 3 - t3) * 6;
+		} else {
+			val = t1;
+		}
+
+		rgb[i] = val * 255;
+	}
+
+	return rgb;
+};
+
+convert.hsl.hsv = function (hsl) {
+	const h = hsl[0];
+	let s = hsl[1] / 100;
+	let l = hsl[2] / 100;
+	let smin = s;
+	const lmin = Math.max(l, 0.01);
+
+	l *= 2;
+	s *= (l <= 1) ? l : 2 - l;
+	smin *= lmin <= 1 ? lmin : 2 - lmin;
+	const v = (l + s) / 2;
+	const sv = l === 0 ? (2 * smin) / (lmin + smin) : (2 * s) / (l + s);
+
+	return [h, sv * 100, v * 100];
+};
+
+convert.hsv.rgb = function (hsv) {
+	const h = hsv[0] / 60;
+	const s = hsv[1] / 100;
+	let v = hsv[2] / 100;
+	const hi = Math.floor(h) % 6;
+
+	const f = h - Math.floor(h);
+	const p = 255 * v * (1 - s);
+	const q = 255 * v * (1 - (s * f));
+	const t = 255 * v * (1 - (s * (1 - f)));
+	v *= 255;
+
+	switch (hi) {
+		case 0:
+			return [v, t, p];
+		case 1:
+			return [q, v, p];
+		case 2:
+			return [p, v, t];
+		case 3:
+			return [p, q, v];
+		case 4:
+			return [t, p, v];
+		case 5:
+			return [v, p, q];
+	}
+};
+
+convert.hsv.hsl = function (hsv) {
+	const h = hsv[0];
+	const s = hsv[1] / 100;
+	const v = hsv[2] / 100;
+	const vmin = Math.max(v, 0.01);
+	let sl;
+	let l;
+
+	l = (2 - s) * v;
+	const lmin = (2 - s) * vmin;
+	sl = s * vmin;
+	sl /= (lmin <= 1) ? lmin : 2 - lmin;
+	sl = sl || 0;
+	l /= 2;
+
+	return [h, sl * 100, l * 100];
+};
+
+// http://dev.w3.org/csswg/css-color/#hwb-to-rgb
+convert.hwb.rgb = function (hwb) {
+	const h = hwb[0] / 360;
+	let wh = hwb[1] / 100;
+	let bl = hwb[2] / 100;
+	const ratio = wh + bl;
+	let f;
+
+	// Wh + bl cant be > 1
+	if (ratio > 1) {
+		wh /= ratio;
+		bl /= ratio;
+	}
+
+	const i = Math.floor(6 * h);
+	const v = 1 - bl;
+	f = 6 * h - i;
+
+	if ((i & 0x01) !== 0) {
+		f = 1 - f;
+	}
+
+	const n = wh + f * (v - wh); // Linear interpolation
+
+	let r;
+	let g;
+	let b;
+	/* eslint-disable max-statements-per-line,no-multi-spaces */
+	switch (i) {
+		default:
+		case 6:
+		case 0: r = v;  g = n;  b = wh; break;
+		case 1: r = n;  g = v;  b = wh; break;
+		case 2: r = wh; g = v;  b = n; break;
+		case 3: r = wh; g = n;  b = v; break;
+		case 4: r = n;  g = wh; b = v; break;
+		case 5: r = v;  g = wh; b = n; break;
+	}
+	/* eslint-enable max-statements-per-line,no-multi-spaces */
+
+	return [r * 255, g * 255, b * 255];
+};
+
+convert.cmyk.rgb = function (cmyk) {
+	const c = cmyk[0] / 100;
+	const m = cmyk[1] / 100;
+	const y = cmyk[2] / 100;
+	const k = cmyk[3] / 100;
+
+	const r = 1 - Math.min(1, c * (1 - k) + k);
+	const g = 1 - Math.min(1, m * (1 - k) + k);
+	const b = 1 - Math.min(1, y * (1 - k) + k);
+
+	return [r * 255, g * 255, b * 255];
+};
+
+convert.xyz.rgb = function (xyz) {
+	const x = xyz[0] / 100;
+	const y = xyz[1] / 100;
+	const z = xyz[2] / 100;
+	let r;
+	let g;
+	let b;
+
+	r = (x * 3.2406) + (y * -1.5372) + (z * -0.4986);
+	g = (x * -0.9689) + (y * 1.8758) + (z * 0.0415);
+	b = (x * 0.0557) + (y * -0.2040) + (z * 1.0570);
+
+	// Assume sRGB
+	r = r > 0.0031308
+		? ((1.055 * (r ** (1.0 / 2.4))) - 0.055)
+		: r * 12.92;
+
+	g = g > 0.0031308
+		? ((1.055 * (g ** (1.0 / 2.4))) - 0.055)
+		: g * 12.92;
+
+	b = b > 0.0031308
+		? ((1.055 * (b ** (1.0 / 2.4))) - 0.055)
+		: b * 12.92;
+
+	r = Math.min(Math.max(0, r), 1);
+	g = Math.min(Math.max(0, g), 1);
+	b = Math.min(Math.max(0, b), 1);
+
+	return [r * 255, g * 255, b * 255];
+};
+
+convert.xyz.lab = function (xyz) {
+	let x = xyz[0];
+	let y = xyz[1];
+	let z = xyz[2];
+
+	x /= 95.047;
+	y /= 100;
+	z /= 108.883;
+
+	x = x > 0.008856 ? (x ** (1 / 3)) : (7.787 * x) + (16 / 116);
+	y = y > 0.008856 ? (y ** (1 / 3)) : (7.787 * y) + (16 / 116);
+	z = z > 0.008856 ? (z ** (1 / 3)) : (7.787 * z) + (16 / 116);
+
+	const l = (116 * y) - 16;
+	const a = 500 * (x - y);
+	const b = 200 * (y - z);
+
+	return [l, a, b];
+};
+
+convert.lab.xyz = function (lab) {
+	const l = lab[0];
+	const a = lab[1];
+	const b = lab[2];
+	let x;
+	let y;
+	let z;
+
+	y = (l + 16) / 116;
+	x = a / 500 + y;
+	z = y - b / 200;
+
+	const y2 = y ** 3;
+	const x2 = x ** 3;
+	const z2 = z ** 3;
+	y = y2 > 0.008856 ? y2 : (y - 16 / 116) / 7.787;
+	x = x2 > 0.008856 ? x2 : (x - 16 / 116) / 7.787;
+	z = z2 > 0.008856 ? z2 : (z - 16 / 116) / 7.787;
+
+	x *= 95.047;
+	y *= 100;
+	z *= 108.883;
+
+	return [x, y, z];
+};
+
+convert.lab.lch = function (lab) {
+	const l = lab[0];
+	const a = lab[1];
+	const b = lab[2];
+	let h;
+
+	const hr = Math.atan2(b, a);
+	h = hr * 360 / 2 / Math.PI;
+
+	if (h < 0) {
+		h += 360;
+	}
+
+	const c = Math.sqrt(a * a + b * b);
+
+	return [l, c, h];
+};
+
+convert.lch.lab = function (lch) {
+	const l = lch[0];
+	const c = lch[1];
+	const h = lch[2];
+
+	const hr = h / 360 * 2 * Math.PI;
+	const a = c * Math.cos(hr);
+	const b = c * Math.sin(hr);
+
+	return [l, a, b];
+};
+
+convert.rgb.ansi16 = function (args, saturation = null) {
+	const [r, g, b] = args;
+	let value = saturation === null ? convert.rgb.hsv(args)[2] : saturation; // Hsv -> ansi16 optimization
+
+	value = Math.round(value / 50);
+
+	if (value === 0) {
+		return 30;
+	}
+
+	let ansi = 30
+		+ ((Math.round(b / 255) << 2)
+		| (Math.round(g / 255) << 1)
+		| Math.round(r / 255));
+
+	if (value === 2) {
+		ansi += 60;
+	}
+
+	return ansi;
+};
+
+convert.hsv.ansi16 = function (args) {
+	// Optimization here; we already know the value and don't need to get
+	// it converted for us.
+	return convert.rgb.ansi16(convert.hsv.rgb(args), args[2]);
+};
+
+convert.rgb.ansi256 = function (args) {
+	const r = args[0];
+	const g = args[1];
+	const b = args[2];
+
+	// We use the extended greyscale palette here, with the exception of
+	// black and white. normal palette only has 4 greyscale shades.
+	if (r === g && g === b) {
+		if (r < 8) {
+			return 16;
+		}
+
+		if (r > 248) {
+			return 231;
+		}
+
+		return Math.round(((r - 8) / 247) * 24) + 232;
+	}
+
+	const ansi = 16
+		+ (36 * Math.round(r / 255 * 5))
+		+ (6 * Math.round(g / 255 * 5))
+		+ Math.round(b / 255 * 5);
+
+	return ansi;
+};
+
+convert.ansi16.rgb = function (args) {
+	let color = args % 10;
+
+	// Handle greyscale
+	if (color === 0 || color === 7) {
+		if (args > 50) {
+			color += 3.5;
+		}
+
+		color = color / 10.5 * 255;
+
+		return [color, color, color];
+	}
+
+	const mult = (~~(args > 50) + 1) * 0.5;
+	const r = ((color & 1) * mult) * 255;
+	const g = (((color >> 1) & 1) * mult) * 255;
+	const b = (((color >> 2) & 1) * mult) * 255;
+
+	return [r, g, b];
+};
+
+convert.ansi256.rgb = function (args) {
+	// Handle greyscale
+	if (args >= 232) {
+		const c = (args - 232) * 10 + 8;
+		return [c, c, c];
+	}
+
+	args -= 16;
+
+	let rem;
+	const r = Math.floor(args / 36) / 5 * 255;
+	const g = Math.floor((rem = args % 36) / 6) / 5 * 255;
+	const b = (rem % 6) / 5 * 255;
+
+	return [r, g, b];
+};
+
+convert.rgb.hex = function (args) {
+	const integer = ((Math.round(args[0]) & 0xFF) << 16)
+		+ ((Math.round(args[1]) & 0xFF) << 8)
+		+ (Math.round(args[2]) & 0xFF);
+
+	const string = integer.toString(16).toUpperCase();
+	return '000000'.substring(string.length) + string;
+};
+
+convert.hex.rgb = function (args) {
+	const match = args.toString(16).match(/[a-f0-9]{6}|[a-f0-9]{3}/i);
+	if (!match) {
+		return [0, 0, 0];
+	}
+
+	let colorString = match[0];
+
+	if (match[0].length === 3) {
+		colorString = colorString.split('').map(char => {
+			return char + char;
+		}).join('');
+	}
+
+	const integer = parseInt(colorString, 16);
+	const r = (integer >> 16) & 0xFF;
+	const g = (integer >> 8) & 0xFF;
+	const b = integer & 0xFF;
+
+	return [r, g, b];
+};
+
+convert.rgb.hcg = function (rgb) {
+	const r = rgb[0] / 255;
+	const g = rgb[1] / 255;
+	const b = rgb[2] / 255;
+	const max = Math.max(Math.max(r, g), b);
+	const min = Math.min(Math.min(r, g), b);
+	const chroma = (max - min);
+	let grayscale;
+	let hue;
+
+	if (chroma < 1) {
+		grayscale = min / (1 - chroma);
+	} else {
+		grayscale = 0;
+	}
+
+	if (chroma <= 0) {
+		hue = 0;
+	} else
+	if (max === r) {
+		hue = ((g - b) / chroma) % 6;
+	} else
+	if (max === g) {
+		hue = 2 + (b - r) / chroma;
+	} else {
+		hue = 4 + (r - g) / chroma;
+	}
+
+	hue /= 6;
+	hue %= 1;
+
+	return [hue * 360, chroma * 100, grayscale * 100];
+};
+
+convert.hsl.hcg = function (hsl) {
+	const s = hsl[1] / 100;
+	const l = hsl[2] / 100;
+
+	const c = l < 0.5 ? (2.0 * s * l) : (2.0 * s * (1.0 - l));
+
+	let f = 0;
+	if (c < 1.0) {
+		f = (l - 0.5 * c) / (1.0 - c);
+	}
+
+	return [hsl[0], c * 100, f * 100];
+};
+
+convert.hsv.hcg = function (hsv) {
+	const s = hsv[1] / 100;
+	const v = hsv[2] / 100;
+
+	const c = s * v;
+	let f = 0;
+
+	if (c < 1.0) {
+		f = (v - c) / (1 - c);
+	}
+
+	return [hsv[0], c * 100, f * 100];
+};
+
+convert.hcg.rgb = function (hcg) {
+	const h = hcg[0] / 360;
+	const c = hcg[1] / 100;
+	const g = hcg[2] / 100;
+
+	if (c === 0.0) {
+		return [g * 255, g * 255, g * 255];
+	}
+
+	const pure = [0, 0, 0];
+	const hi = (h % 1) * 6;
+	const v = hi % 1;
+	const w = 1 - v;
+	let mg = 0;
+
+	/* eslint-disable max-statements-per-line */
+	switch (Math.floor(hi)) {
+		case 0:
+			pure[0] = 1; pure[1] = v; pure[2] = 0; break;
+		case 1:
+			pure[0] = w; pure[1] = 1; pure[2] = 0; break;
+		case 2:
+			pure[0] = 0; pure[1] = 1; pure[2] = v; break;
+		case 3:
+			pure[0] = 0; pure[1] = w; pure[2] = 1; break;
+		case 4:
+			pure[0] = v; pure[1] = 0; pure[2] = 1; break;
+		default:
+			pure[0] = 1; pure[1] = 0; pure[2] = w;
+	}
+	/* eslint-enable max-statements-per-line */
+
+	mg = (1.0 - c) * g;
+
+	return [
+		(c * pure[0] + mg) * 255,
+		(c * pure[1] + mg) * 255,
+		(c * pure[2] + mg) * 255
+	];
+};
+
+convert.hcg.hsv = function (hcg) {
+	const c = hcg[1] / 100;
+	const g = hcg[2] / 100;
+
+	const v = c + g * (1.0 - c);
+	let f = 0;
+
+	if (v > 0.0) {
+		f = c / v;
+	}
+
+	return [hcg[0], f * 100, v * 100];
+};
+
+convert.hcg.hsl = function (hcg) {
+	const c = hcg[1] / 100;
+	const g = hcg[2] / 100;
+
+	const l = g * (1.0 - c) + 0.5 * c;
+	let s = 0;
+
+	if (l > 0.0 && l < 0.5) {
+		s = c / (2 * l);
+	} else
+	if (l >= 0.5 && l < 1.0) {
+		s = c / (2 * (1 - l));
+	}
+
+	return [hcg[0], s * 100, l * 100];
+};
+
+convert.hcg.hwb = function (hcg) {
+	const c = hcg[1] / 100;
+	const g = hcg[2] / 100;
+	const v = c + g * (1.0 - c);
+	return [hcg[0], (v - c) * 100, (1 - v) * 100];
+};
+
+convert.hwb.hcg = function (hwb) {
+	const w = hwb[1] / 100;
+	const b = hwb[2] / 100;
+	const v = 1 - b;
+	const c = v - w;
+	let g = 0;
+
+	if (c < 1) {
+		g = (v - c) / (1 - c);
+	}
+
+	return [hwb[0], c * 100, g * 100];
+};
+
+convert.apple.rgb = function (apple) {
+	return [(apple[0] / 65535) * 255, (apple[1] / 65535) * 255, (apple[2] / 65535) * 255];
+};
+
+convert.rgb.apple = function (rgb) {
+	return [(rgb[0] / 255) * 65535, (rgb[1] / 255) * 65535, (rgb[2] / 255) * 65535];
+};
+
+convert.gray.rgb = function (args) {
+	return [args[0] / 100 * 255, args[0] / 100 * 255, args[0] / 100 * 255];
+};
+
+convert.gray.hsl = function (args) {
+	return [0, 0, args[0]];
+};
+
+convert.gray.hsv = convert.gray.hsl;
+
+convert.gray.hwb = function (gray) {
+	return [0, 100, gray[0]];
+};
+
+convert.gray.cmyk = function (gray) {
+	return [0, 0, 0, gray[0]];
+};
+
+convert.gray.lab = function (gray) {
+	return [gray[0], 0, 0];
+};
+
+convert.gray.hex = function (gray) {
+	const val = Math.round(gray[0] / 100 * 255) & 0xFF;
+	const integer = (val << 16) + (val << 8) + val;
+
+	const string = integer.toString(16).toUpperCase();
+	return '000000'.substring(string.length) + string;
+};
+
+convert.rgb.gray = function (rgb) {
+	const val = (rgb[0] + rgb[1] + rgb[2]) / 3;
+	return [val / 255 * 100];
+};
diff --git a/node_modules/@jest/globals/node_modules/color-convert/index.js b/node_modules/@jest/globals/node_modules/color-convert/index.js
new file mode 100644
index 000000000..b648e5737
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-convert/index.js
@@ -0,0 +1,81 @@
+const conversions = require('./conversions');
+const route = require('./route');
+
+const convert = {};
+
+const models = Object.keys(conversions);
+
+function wrapRaw(fn) {
+	const wrappedFn = function (...args) {
+		const arg0 = args[0];
+		if (arg0 === undefined || arg0 === null) {
+			return arg0;
+		}
+
+		if (arg0.length > 1) {
+			args = arg0;
+		}
+
+		return fn(args);
+	};
+
+	// Preserve .conversion property if there is one
+	if ('conversion' in fn) {
+		wrappedFn.conversion = fn.conversion;
+	}
+
+	return wrappedFn;
+}
+
+function wrapRounded(fn) {
+	const wrappedFn = function (...args) {
+		const arg0 = args[0];
+
+		if (arg0 === undefined || arg0 === null) {
+			return arg0;
+		}
+
+		if (arg0.length > 1) {
+			args = arg0;
+		}
+
+		const result = fn(args);
+
+		// We're assuming the result is an array here.
+		// see notice in conversions.js; don't use box types
+		// in conversion functions.
+		if (typeof result === 'object') {
+			for (let len = result.length, i = 0; i < len; i++) {
+				result[i] = Math.round(result[i]);
+			}
+		}
+
+		return result;
+	};
+
+	// Preserve .conversion property if there is one
+	if ('conversion' in fn) {
+		wrappedFn.conversion = fn.conversion;
+	}
+
+	return wrappedFn;
+}
+
+models.forEach(fromModel => {
+	convert[fromModel] = {};
+
+	Object.defineProperty(convert[fromModel], 'channels', {value: conversions[fromModel].channels});
+	Object.defineProperty(convert[fromModel], 'labels', {value: conversions[fromModel].labels});
+
+	const routes = route(fromModel);
+	const routeModels = Object.keys(routes);
+
+	routeModels.forEach(toModel => {
+		const fn = routes[toModel];
+
+		convert[fromModel][toModel] = wrapRounded(fn);
+		convert[fromModel][toModel].raw = wrapRaw(fn);
+	});
+});
+
+module.exports = convert;
diff --git a/node_modules/@jest/globals/node_modules/color-convert/package.json b/node_modules/@jest/globals/node_modules/color-convert/package.json
new file mode 100644
index 000000000..1af8061be
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-convert/package.json
@@ -0,0 +1,87 @@
+{
+  "_args": [
+    [
+      "color-convert@2.0.1",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "color-convert@2.0.1",
+  "_id": "color-convert@2.0.1",
+  "_inBundle": false,
+  "_integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+  "_location": "/@jest/globals/color-convert",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "color-convert@2.0.1",
+    "name": "color-convert",
+    "escapedName": "color-convert",
+    "rawSpec": "2.0.1",
+    "saveSpec": null,
+    "fetchSpec": "2.0.1"
+  },
+  "_requiredBy": [
+    "/@jest/globals/ansi-styles"
+  ],
+  "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+  "_spec": "2.0.1",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Heather Arthur",
+    "email": "fayearthur@gmail.com"
+  },
+  "bugs": {
+    "url": "https://github.com/Qix-/color-convert/issues"
+  },
+  "dependencies": {
+    "color-name": "~1.1.4"
+  },
+  "description": "Plain color conversion functions",
+  "devDependencies": {
+    "chalk": "^2.4.2",
+    "xo": "^0.24.0"
+  },
+  "engines": {
+    "node": ">=7.0.0"
+  },
+  "files": [
+    "index.js",
+    "conversions.js",
+    "route.js"
+  ],
+  "homepage": "https://github.com/Qix-/color-convert#readme",
+  "keywords": [
+    "color",
+    "colour",
+    "convert",
+    "converter",
+    "conversion",
+    "rgb",
+    "hsl",
+    "hsv",
+    "hwb",
+    "cmyk",
+    "ansi",
+    "ansi16"
+  ],
+  "license": "MIT",
+  "name": "color-convert",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/Qix-/color-convert.git"
+  },
+  "scripts": {
+    "pretest": "xo",
+    "test": "node test/basic.js"
+  },
+  "version": "2.0.1",
+  "xo": {
+    "rules": {
+      "default-case": 0,
+      "no-inline-comments": 0,
+      "operator-linebreak": 0
+    }
+  }
+}
diff --git a/node_modules/@jest/globals/node_modules/color-convert/route.js b/node_modules/@jest/globals/node_modules/color-convert/route.js
new file mode 100644
index 000000000..1a08521b5
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-convert/route.js
@@ -0,0 +1,97 @@
+const conversions = require('./conversions');
+
+/*
+	This function routes a model to all other models.
+
+	all functions that are routed have a property `.conversion` attached
+	to the returned synthetic function. This property is an array
+	of strings, each with the steps in between the 'from' and 'to'
+	color models (inclusive).
+
+	conversions that are not possible simply are not included.
+*/
+
+function buildGraph() {
+	const graph = {};
+	// https://jsperf.com/object-keys-vs-for-in-with-closure/3
+	const models = Object.keys(conversions);
+
+	for (let len = models.length, i = 0; i < len; i++) {
+		graph[models[i]] = {
+			// http://jsperf.com/1-vs-infinity
+			// micro-opt, but this is simple.
+			distance: -1,
+			parent: null
+		};
+	}
+
+	return graph;
+}
+
+// https://en.wikipedia.org/wiki/Breadth-first_search
+function deriveBFS(fromModel) {
+	const graph = buildGraph();
+	const queue = [fromModel]; // Unshift -> queue -> pop
+
+	graph[fromModel].distance = 0;
+
+	while (queue.length) {
+		const current = queue.pop();
+		const adjacents = Object.keys(conversions[current]);
+
+		for (let len = adjacents.length, i = 0; i < len; i++) {
+			const adjacent = adjacents[i];
+			const node = graph[adjacent];
+
+			if (node.distance === -1) {
+				node.distance = graph[current].distance + 1;
+				node.parent = current;
+				queue.unshift(adjacent);
+			}
+		}
+	}
+
+	return graph;
+}
+
+function link(from, to) {
+	return function (args) {
+		return to(from(args));
+	};
+}
+
+function wrapConversion(toModel, graph) {
+	const path = [graph[toModel].parent, toModel];
+	let fn = conversions[graph[toModel].parent][toModel];
+
+	let cur = graph[toModel].parent;
+	while (graph[cur].parent) {
+		path.unshift(graph[cur].parent);
+		fn = link(conversions[graph[cur].parent][cur], fn);
+		cur = graph[cur].parent;
+	}
+
+	fn.conversion = path;
+	return fn;
+}
+
+module.exports = function (fromModel) {
+	const graph = deriveBFS(fromModel);
+	const conversion = {};
+
+	const models = Object.keys(graph);
+	for (let len = models.length, i = 0; i < len; i++) {
+		const toModel = models[i];
+		const node = graph[toModel];
+
+		if (node.parent === null) {
+			// No possible conversion, or this node is the source model.
+			continue;
+		}
+
+		conversion[toModel] = wrapConversion(toModel, graph);
+	}
+
+	return conversion;
+};
+
diff --git a/node_modules/@jest/globals/node_modules/color-name/LICENSE b/node_modules/@jest/globals/node_modules/color-name/LICENSE
new file mode 100644
index 000000000..c6b100125
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-name/LICENSE
@@ -0,0 +1,8 @@
+The MIT License (MIT)
+Copyright (c) 2015 Dmitry Ivanov
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
\ No newline at end of file
diff --git a/node_modules/@jest/globals/node_modules/color-name/README.md b/node_modules/@jest/globals/node_modules/color-name/README.md
new file mode 100644
index 000000000..932b97917
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-name/README.md
@@ -0,0 +1,11 @@
+A JSON with color names and its values. Based on http://dev.w3.org/csswg/css-color/#named-colors.
+
+[![NPM](https://nodei.co/npm/color-name.png?mini=true)](https://nodei.co/npm/color-name/)
+
+
+```js
+var colors = require('color-name');
+colors.red //[255,0,0]
+```
+
+<a href="LICENSE"><img src="https://upload.wikimedia.org/wikipedia/commons/0/0c/MIT_logo.svg" width="120"/></a>
diff --git a/node_modules/@jest/globals/node_modules/color-name/index.js b/node_modules/@jest/globals/node_modules/color-name/index.js
new file mode 100644
index 000000000..b7c198a6f
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-name/index.js
@@ -0,0 +1,152 @@
+'use strict'
+
+module.exports = {
+	"aliceblue": [240, 248, 255],
+	"antiquewhite": [250, 235, 215],
+	"aqua": [0, 255, 255],
+	"aquamarine": [127, 255, 212],
+	"azure": [240, 255, 255],
+	"beige": [245, 245, 220],
+	"bisque": [255, 228, 196],
+	"black": [0, 0, 0],
+	"blanchedalmond": [255, 235, 205],
+	"blue": [0, 0, 255],
+	"blueviolet": [138, 43, 226],
+	"brown": [165, 42, 42],
+	"burlywood": [222, 184, 135],
+	"cadetblue": [95, 158, 160],
+	"chartreuse": [127, 255, 0],
+	"chocolate": [210, 105, 30],
+	"coral": [255, 127, 80],
+	"cornflowerblue": [100, 149, 237],
+	"cornsilk": [255, 248, 220],
+	"crimson": [220, 20, 60],
+	"cyan": [0, 255, 255],
+	"darkblue": [0, 0, 139],
+	"darkcyan": [0, 139, 139],
+	"darkgoldenrod": [184, 134, 11],
+	"darkgray": [169, 169, 169],
+	"darkgreen": [0, 100, 0],
+	"darkgrey": [169, 169, 169],
+	"darkkhaki": [189, 183, 107],
+	"darkmagenta": [139, 0, 139],
+	"darkolivegreen": [85, 107, 47],
+	"darkorange": [255, 140, 0],
+	"darkorchid": [153, 50, 204],
+	"darkred": [139, 0, 0],
+	"darksalmon": [233, 150, 122],
+	"darkseagreen": [143, 188, 143],
+	"darkslateblue": [72, 61, 139],
+	"darkslategray": [47, 79, 79],
+	"darkslategrey": [47, 79, 79],
+	"darkturquoise": [0, 206, 209],
+	"darkviolet": [148, 0, 211],
+	"deeppink": [255, 20, 147],
+	"deepskyblue": [0, 191, 255],
+	"dimgray": [105, 105, 105],
+	"dimgrey": [105, 105, 105],
+	"dodgerblue": [30, 144, 255],
+	"firebrick": [178, 34, 34],
+	"floralwhite": [255, 250, 240],
+	"forestgreen": [34, 139, 34],
+	"fuchsia": [255, 0, 255],
+	"gainsboro": [220, 220, 220],
+	"ghostwhite": [248, 248, 255],
+	"gold": [255, 215, 0],
+	"goldenrod": [218, 165, 32],
+	"gray": [128, 128, 128],
+	"green": [0, 128, 0],
+	"greenyellow": [173, 255, 47],
+	"grey": [128, 128, 128],
+	"honeydew": [240, 255, 240],
+	"hotpink": [255, 105, 180],
+	"indianred": [205, 92, 92],
+	"indigo": [75, 0, 130],
+	"ivory": [255, 255, 240],
+	"khaki": [240, 230, 140],
+	"lavender": [230, 230, 250],
+	"lavenderblush": [255, 240, 245],
+	"lawngreen": [124, 252, 0],
+	"lemonchiffon": [255, 250, 205],
+	"lightblue": [173, 216, 230],
+	"lightcoral": [240, 128, 128],
+	"lightcyan": [224, 255, 255],
+	"lightgoldenrodyellow": [250, 250, 210],
+	"lightgray": [211, 211, 211],
+	"lightgreen": [144, 238, 144],
+	"lightgrey": [211, 211, 211],
+	"lightpink": [255, 182, 193],
+	"lightsalmon": [255, 160, 122],
+	"lightseagreen": [32, 178, 170],
+	"lightskyblue": [135, 206, 250],
+	"lightslategray": [119, 136, 153],
+	"lightslategrey": [119, 136, 153],
+	"lightsteelblue": [176, 196, 222],
+	"lightyellow": [255, 255, 224],
+	"lime": [0, 255, 0],
+	"limegreen": [50, 205, 50],
+	"linen": [250, 240, 230],
+	"magenta": [255, 0, 255],
+	"maroon": [128, 0, 0],
+	"mediumaquamarine": [102, 205, 170],
+	"mediumblue": [0, 0, 205],
+	"mediumorchid": [186, 85, 211],
+	"mediumpurple": [147, 112, 219],
+	"mediumseagreen": [60, 179, 113],
+	"mediumslateblue": [123, 104, 238],
+	"mediumspringgreen": [0, 250, 154],
+	"mediumturquoise": [72, 209, 204],
+	"mediumvioletred": [199, 21, 133],
+	"midnightblue": [25, 25, 112],
+	"mintcream": [245, 255, 250],
+	"mistyrose": [255, 228, 225],
+	"moccasin": [255, 228, 181],
+	"navajowhite": [255, 222, 173],
+	"navy": [0, 0, 128],
+	"oldlace": [253, 245, 230],
+	"olive": [128, 128, 0],
+	"olivedrab": [107, 142, 35],
+	"orange": [255, 165, 0],
+	"orangered": [255, 69, 0],
+	"orchid": [218, 112, 214],
+	"palegoldenrod": [238, 232, 170],
+	"palegreen": [152, 251, 152],
+	"paleturquoise": [175, 238, 238],
+	"palevioletred": [219, 112, 147],
+	"papayawhip": [255, 239, 213],
+	"peachpuff": [255, 218, 185],
+	"peru": [205, 133, 63],
+	"pink": [255, 192, 203],
+	"plum": [221, 160, 221],
+	"powderblue": [176, 224, 230],
+	"purple": [128, 0, 128],
+	"rebeccapurple": [102, 51, 153],
+	"red": [255, 0, 0],
+	"rosybrown": [188, 143, 143],
+	"royalblue": [65, 105, 225],
+	"saddlebrown": [139, 69, 19],
+	"salmon": [250, 128, 114],
+	"sandybrown": [244, 164, 96],
+	"seagreen": [46, 139, 87],
+	"seashell": [255, 245, 238],
+	"sienna": [160, 82, 45],
+	"silver": [192, 192, 192],
+	"skyblue": [135, 206, 235],
+	"slateblue": [106, 90, 205],
+	"slategray": [112, 128, 144],
+	"slategrey": [112, 128, 144],
+	"snow": [255, 250, 250],
+	"springgreen": [0, 255, 127],
+	"steelblue": [70, 130, 180],
+	"tan": [210, 180, 140],
+	"teal": [0, 128, 128],
+	"thistle": [216, 191, 216],
+	"tomato": [255, 99, 71],
+	"turquoise": [64, 224, 208],
+	"violet": [238, 130, 238],
+	"wheat": [245, 222, 179],
+	"white": [255, 255, 255],
+	"whitesmoke": [245, 245, 245],
+	"yellow": [255, 255, 0],
+	"yellowgreen": [154, 205, 50]
+};
diff --git a/node_modules/@jest/globals/node_modules/color-name/package.json b/node_modules/@jest/globals/node_modules/color-name/package.json
new file mode 100644
index 000000000..9ad016f16
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/color-name/package.json
@@ -0,0 +1,60 @@
+{
+  "_args": [
+    [
+      "color-name@1.1.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "color-name@1.1.4",
+  "_id": "color-name@1.1.4",
+  "_inBundle": false,
+  "_integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+  "_location": "/@jest/globals/color-name",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "color-name@1.1.4",
+    "name": "color-name",
+    "escapedName": "color-name",
+    "rawSpec": "1.1.4",
+    "saveSpec": null,
+    "fetchSpec": "1.1.4"
+  },
+  "_requiredBy": [
+    "/@jest/globals/color-convert"
+  ],
+  "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+  "_spec": "1.1.4",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "DY",
+    "email": "dfcreative@gmail.com"
+  },
+  "bugs": {
+    "url": "https://github.com/colorjs/color-name/issues"
+  },
+  "description": "A list of color names and its values",
+  "files": [
+    "index.js"
+  ],
+  "homepage": "https://github.com/colorjs/color-name",
+  "keywords": [
+    "color-name",
+    "color",
+    "color-keyword",
+    "keyword"
+  ],
+  "license": "MIT",
+  "main": "index.js",
+  "name": "color-name",
+  "repository": {
+    "type": "git",
+    "url": "git+ssh://git@github.com/colorjs/color-name.git"
+  },
+  "scripts": {
+    "test": "node test.js"
+  },
+  "version": "1.1.4"
+}
diff --git a/node_modules/@jest/globals/node_modules/has-flag/index.d.ts b/node_modules/@jest/globals/node_modules/has-flag/index.d.ts
new file mode 100644
index 000000000..a0a48c891
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/has-flag/index.d.ts
@@ -0,0 +1,39 @@
+/**
+Check if [`argv`](https://nodejs.org/docs/latest/api/process.html#process_process_argv) has a specific flag.
+
+@param flag - CLI flag to look for. The `--` prefix is optional.
+@param argv - CLI arguments. Default: `process.argv`.
+@returns Whether the flag exists.
+
+@example
+```
+// $ ts-node foo.ts -f --unicorn --foo=bar -- --rainbow
+
+// foo.ts
+import hasFlag = require('has-flag');
+
+hasFlag('unicorn');
+//=> true
+
+hasFlag('--unicorn');
+//=> true
+
+hasFlag('f');
+//=> true
+
+hasFlag('-f');
+//=> true
+
+hasFlag('foo=bar');
+//=> true
+
+hasFlag('foo');
+//=> false
+
+hasFlag('rainbow');
+//=> false
+```
+*/
+declare function hasFlag(flag: string, argv?: string[]): boolean;
+
+export = hasFlag;
diff --git a/node_modules/@jest/globals/node_modules/has-flag/index.js b/node_modules/@jest/globals/node_modules/has-flag/index.js
new file mode 100644
index 000000000..b6f80b1f8
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/has-flag/index.js
@@ -0,0 +1,8 @@
+'use strict';
+
+module.exports = (flag, argv = process.argv) => {
+	const prefix = flag.startsWith('-') ? '' : (flag.length === 1 ? '-' : '--');
+	const position = argv.indexOf(prefix + flag);
+	const terminatorPosition = argv.indexOf('--');
+	return position !== -1 && (terminatorPosition === -1 || position < terminatorPosition);
+};
diff --git a/node_modules/@jest/globals/node_modules/has-flag/license b/node_modules/@jest/globals/node_modules/has-flag/license
new file mode 100644
index 000000000..e7af2f771
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/has-flag/license
@@ -0,0 +1,9 @@
+MIT License
+
+Copyright (c) Sindre Sorhus <sindresorhus@gmail.com> (sindresorhus.com)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/node_modules/@jest/globals/node_modules/has-flag/package.json b/node_modules/@jest/globals/node_modules/has-flag/package.json
new file mode 100644
index 000000000..05a5833dd
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/has-flag/package.json
@@ -0,0 +1,82 @@
+{
+  "_args": [
+    [
+      "has-flag@4.0.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "has-flag@4.0.0",
+  "_id": "has-flag@4.0.0",
+  "_inBundle": false,
+  "_integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+  "_location": "/@jest/globals/has-flag",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "has-flag@4.0.0",
+    "name": "has-flag",
+    "escapedName": "has-flag",
+    "rawSpec": "4.0.0",
+    "saveSpec": null,
+    "fetchSpec": "4.0.0"
+  },
+  "_requiredBy": [
+    "/@jest/globals/supports-color"
+  ],
+  "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+  "_spec": "4.0.0",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Sindre Sorhus",
+    "email": "sindresorhus@gmail.com",
+    "url": "sindresorhus.com"
+  },
+  "bugs": {
+    "url": "https://github.com/sindresorhus/has-flag/issues"
+  },
+  "description": "Check if argv has a specific flag",
+  "devDependencies": {
+    "ava": "^1.4.1",
+    "tsd": "^0.7.2",
+    "xo": "^0.24.0"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "index.js",
+    "index.d.ts"
+  ],
+  "homepage": "https://github.com/sindresorhus/has-flag#readme",
+  "keywords": [
+    "has",
+    "check",
+    "detect",
+    "contains",
+    "find",
+    "flag",
+    "cli",
+    "command-line",
+    "argv",
+    "process",
+    "arg",
+    "args",
+    "argument",
+    "arguments",
+    "getopt",
+    "minimist",
+    "optimist"
+  ],
+  "license": "MIT",
+  "name": "has-flag",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/sindresorhus/has-flag.git"
+  },
+  "scripts": {
+    "test": "xo && ava && tsd"
+  },
+  "version": "4.0.0"
+}
diff --git a/node_modules/@jest/globals/node_modules/has-flag/readme.md b/node_modules/@jest/globals/node_modules/has-flag/readme.md
new file mode 100644
index 000000000..3f72dff29
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/has-flag/readme.md
@@ -0,0 +1,89 @@
+# has-flag [![Build Status](https://travis-ci.org/sindresorhus/has-flag.svg?branch=master)](https://travis-ci.org/sindresorhus/has-flag)
+
+> Check if [`argv`](https://nodejs.org/docs/latest/api/process.html#process_process_argv) has a specific flag
+
+Correctly stops looking after an `--` argument terminator.
+
+---
+
+<div align="center">
+	<b>
+		<a href="https://tidelift.com/subscription/pkg/npm-has-flag?utm_source=npm-has-flag&utm_medium=referral&utm_campaign=readme">Get professional support for this package with a Tidelift subscription</a>
+	</b>
+	<br>
+	<sub>
+		Tidelift helps make open source sustainable for maintainers while giving companies<br>assurances about security, maintenance, and licensing for their dependencies.
+	</sub>
+</div>
+
+---
+
+
+## Install
+
+```
+$ npm install has-flag
+```
+
+
+## Usage
+
+```js
+// foo.js
+const hasFlag = require('has-flag');
+
+hasFlag('unicorn');
+//=> true
+
+hasFlag('--unicorn');
+//=> true
+
+hasFlag('f');
+//=> true
+
+hasFlag('-f');
+//=> true
+
+hasFlag('foo=bar');
+//=> true
+
+hasFlag('foo');
+//=> false
+
+hasFlag('rainbow');
+//=> false
+```
+
+```
+$ node foo.js -f --unicorn --foo=bar -- --rainbow
+```
+
+
+## API
+
+### hasFlag(flag, [argv])
+
+Returns a boolean for whether the flag exists.
+
+#### flag
+
+Type: `string`
+
+CLI flag to look for. The `--` prefix is optional.
+
+#### argv
+
+Type: `string[]`<br>
+Default: `process.argv`
+
+CLI arguments.
+
+
+## Security
+
+To report a security vulnerability, please use the [Tidelift security contact](https://tidelift.com/security). Tidelift will coordinate the fix and disclosure.
+
+
+## License
+
+MIT © [Sindre Sorhus](https://sindresorhus.com)
diff --git a/node_modules/@jest/globals/node_modules/supports-color/browser.js b/node_modules/@jest/globals/node_modules/supports-color/browser.js
new file mode 100644
index 000000000..62afa3a74
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/supports-color/browser.js
@@ -0,0 +1,5 @@
+'use strict';
+module.exports = {
+	stdout: false,
+	stderr: false
+};
diff --git a/node_modules/@jest/globals/node_modules/supports-color/index.js b/node_modules/@jest/globals/node_modules/supports-color/index.js
new file mode 100644
index 000000000..dcaa45412
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/supports-color/index.js
@@ -0,0 +1,139 @@
+'use strict';
+const os = require('os');
+const tty = require('tty');
+const hasFlag = require('has-flag');
+
+const {env} = process;
+
+let forceColor;
+if (hasFlag('no-color') ||
+	hasFlag('no-colors') ||
+	hasFlag('color=false') ||
+	hasFlag('color=never')) {
+	forceColor = 0;
+} else if (hasFlag('color') ||
+	hasFlag('colors') ||
+	hasFlag('color=true') ||
+	hasFlag('color=always')) {
+	forceColor = 1;
+}
+
+if ('FORCE_COLOR' in env) {
+	if (env.FORCE_COLOR === 'true') {
+		forceColor = 1;
+	} else if (env.FORCE_COLOR === 'false') {
+		forceColor = 0;
+	} else {
+		forceColor = env.FORCE_COLOR.length === 0 ? 1 : Math.min(parseInt(env.FORCE_COLOR, 10), 3);
+	}
+}
+
+function translateLevel(level) {
+	if (level === 0) {
+		return false;
+	}
+
+	return {
+		level,
+		hasBasic: true,
+		has256: level >= 2,
+		has16m: level >= 3
+	};
+}
+
+function supportsColor(haveStream, streamIsTTY) {
+	if (forceColor === 0) {
+		return 0;
+	}
+
+	if (hasFlag('color=16m') ||
+		hasFlag('color=full') ||
+		hasFlag('color=truecolor')) {
+		return 3;
+	}
+
+	if (hasFlag('color=256')) {
+		return 2;
+	}
+
+	if (haveStream && !streamIsTTY && forceColor === undefined) {
+		return 0;
+	}
+
+	const min = forceColor || 0;
+
+	if (env.TERM === 'dumb') {
+		return min;
+	}
+
+	if (process.platform === 'win32') {
+		// Windows 10 build 10586 is the first Windows release that supports 256 colors.
+		// Windows 10 build 14931 is the first release that supports 16m/TrueColor.
+		const osRelease = os.release().split('.');
+		if (
+			Number(osRelease[0]) >= 10 &&
+			Number(osRelease[2]) >= 10586
+		) {
+			return Number(osRelease[2]) >= 14931 ? 3 : 2;
+		}
+
+		return 1;
+	}
+
+	if ('CI' in env) {
+		if (['TRAVIS', 'CIRCLECI', 'APPVEYOR', 'GITLAB_CI'].some(sign => sign in env) || env.CI_NAME === 'codeship') {
+			return 1;
+		}
+
+		return min;
+	}
+
+	if ('TEAMCITY_VERSION' in env) {
+		return /^(9\.(0*[1-9]\d*)\.|\d{2,}\.)/.test(env.TEAMCITY_VERSION) ? 1 : 0;
+	}
+
+	if ('GITHUB_ACTIONS' in env) {
+		return 1;
+	}
+
+	if (env.COLORTERM === 'truecolor') {
+		return 3;
+	}
+
+	if ('TERM_PROGRAM' in env) {
+		const version = parseInt((env.TERM_PROGRAM_VERSION || '').split('.')[0], 10);
+
+		switch (env.TERM_PROGRAM) {
+			case 'iTerm.app':
+				return version >= 3 ? 3 : 2;
+			case 'Apple_Terminal':
+				return 2;
+			// No default
+		}
+	}
+
+	if (/-256(color)?$/i.test(env.TERM)) {
+		return 2;
+	}
+
+	if (/^screen|^xterm|^vt100|^vt220|^rxvt|color|ansi|cygwin|linux/i.test(env.TERM)) {
+		return 1;
+	}
+
+	if ('COLORTERM' in env) {
+		return 1;
+	}
+
+	return min;
+}
+
+function getSupportLevel(stream) {
+	const level = supportsColor(stream, stream && stream.isTTY);
+	return translateLevel(level);
+}
+
+module.exports = {
+	supportsColor: getSupportLevel,
+	stdout: translateLevel(supportsColor(true, tty.isatty(1))),
+	stderr: translateLevel(supportsColor(true, tty.isatty(2)))
+};
diff --git a/node_modules/@jest/globals/node_modules/supports-color/license b/node_modules/@jest/globals/node_modules/supports-color/license
new file mode 100644
index 000000000..e7af2f771
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/supports-color/license
@@ -0,0 +1,9 @@
+MIT License
+
+Copyright (c) Sindre Sorhus <sindresorhus@gmail.com> (sindresorhus.com)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/node_modules/@jest/globals/node_modules/supports-color/package.json b/node_modules/@jest/globals/node_modules/supports-color/package.json
new file mode 100644
index 000000000..de5423df7
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/supports-color/package.json
@@ -0,0 +1,89 @@
+{
+  "_args": [
+    [
+      "supports-color@7.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "supports-color@7.1.0",
+  "_id": "supports-color@7.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-oRSIpR8pxT1Wr2FquTNnGet79b3BWljqOuoW/h4oBhxJ/HUbX5nX6JSruTkvXDCFMwDPvsaTTbvMLKZWSy0R5g==",
+  "_location": "/@jest/globals/supports-color",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "supports-color@7.1.0",
+    "name": "supports-color",
+    "escapedName": "supports-color",
+    "rawSpec": "7.1.0",
+    "saveSpec": null,
+    "fetchSpec": "7.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/globals/chalk"
+  ],
+  "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
+  "_spec": "7.1.0",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Sindre Sorhus",
+    "email": "sindresorhus@gmail.com",
+    "url": "sindresorhus.com"
+  },
+  "browser": "browser.js",
+  "bugs": {
+    "url": "https://github.com/chalk/supports-color/issues"
+  },
+  "dependencies": {
+    "has-flag": "^4.0.0"
+  },
+  "description": "Detect whether a terminal supports color",
+  "devDependencies": {
+    "ava": "^1.4.1",
+    "import-fresh": "^3.0.0",
+    "xo": "^0.24.0"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "index.js",
+    "browser.js"
+  ],
+  "homepage": "https://github.com/chalk/supports-color#readme",
+  "keywords": [
+    "color",
+    "colour",
+    "colors",
+    "terminal",
+    "console",
+    "cli",
+    "ansi",
+    "styles",
+    "tty",
+    "rgb",
+    "256",
+    "shell",
+    "xterm",
+    "command-line",
+    "support",
+    "supports",
+    "capability",
+    "detect",
+    "truecolor",
+    "16m"
+  ],
+  "license": "MIT",
+  "name": "supports-color",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/chalk/supports-color.git"
+  },
+  "scripts": {
+    "test": "xo && ava"
+  },
+  "version": "7.1.0"
+}
diff --git a/node_modules/@jest/globals/node_modules/supports-color/readme.md b/node_modules/@jest/globals/node_modules/supports-color/readme.md
new file mode 100644
index 000000000..365422858
--- /dev/null
+++ b/node_modules/@jest/globals/node_modules/supports-color/readme.md
@@ -0,0 +1,76 @@
+# supports-color [![Build Status](https://travis-ci.org/chalk/supports-color.svg?branch=master)](https://travis-ci.org/chalk/supports-color)
+
+> Detect whether a terminal supports color
+
+
+## Install
+
+```
+$ npm install supports-color
+```
+
+
+## Usage
+
+```js
+const supportsColor = require('supports-color');
+
+if (supportsColor.stdout) {
+	console.log('Terminal stdout supports color');
+}
+
+if (supportsColor.stdout.has256) {
+	console.log('Terminal stdout supports 256 colors');
+}
+
+if (supportsColor.stderr.has16m) {
+	console.log('Terminal stderr supports 16 million colors (truecolor)');
+}
+```
+
+
+## API
+
+Returns an `Object` with a `stdout` and `stderr` property for testing either streams. Each property is an `Object`, or `false` if color is not supported.
+
+The `stdout`/`stderr` objects specifies a level of support for color through a `.level` property and a corresponding flag:
+
+- `.level = 1` and `.hasBasic = true`: Basic color support (16 colors)
+- `.level = 2` and `.has256 = true`: 256 color support
+- `.level = 3` and `.has16m = true`: Truecolor support (16 million colors)
+
+
+## Info
+
+It obeys the `--color` and `--no-color` CLI flags.
+
+For situations where using `--color` is not possible, use the environment variable `FORCE_COLOR=1` (level 1), `FORCE_COLOR=2` (level 2), or `FORCE_COLOR=3` (level 3) to forcefully enable color, or `FORCE_COLOR=0` to forcefully disable. The use of `FORCE_COLOR` overrides all other color support checks.
+
+Explicit 256/Truecolor mode can be enabled using the `--color=256` and `--color=16m` flags, respectively.
+
+
+## Related
+
+- [supports-color-cli](https://github.com/chalk/supports-color-cli) - CLI for this module
+- [chalk](https://github.com/chalk/chalk) - Terminal string styling done right
+
+
+## Maintainers
+
+- [Sindre Sorhus](https://github.com/sindresorhus)
+- [Josh Junon](https://github.com/qix-)
+
+
+---
+
+<div align="center">
+	<b>
+		<a href="https://tidelift.com/subscription/pkg/npm-supports-color?utm_source=npm-supports-color&utm_medium=referral&utm_campaign=readme">Get professional support for this package with a Tidelift subscription</a>
+	</b>
+	<br>
+	<sub>
+		Tidelift helps make open source sustainable for maintainers while giving companies<br>assurances about security, maintenance, and licensing for their dependencies.
+	</sub>
+</div>
+
+---
diff --git a/node_modules/@jest/globals/package.json b/node_modules/@jest/globals/package.json
new file mode 100644
index 000000000..6cc8ddef6
--- /dev/null
+++ b/node_modules/@jest/globals/package.json
@@ -0,0 +1,71 @@
+{
+  "_args": [
+    [
+      "@jest/globals@25.5.2",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "@jest/globals@25.5.2",
+  "_id": "@jest/globals@25.5.2",
+  "_inBundle": false,
+  "_integrity": "sha512-AgAS/Ny7Q2RCIj5kZ+0MuKM1wbF0WMLxbCVl/GOMoCNbODRdJ541IxJ98xnZdVSZXivKpJlNPIWa3QmY0l4CXA==",
+  "_location": "/@jest/globals",
+  "_phantomChildren": {
+    "@types/color-name": "1.1.1",
+    "@types/istanbul-lib-coverage": "2.0.1",
+    "@types/istanbul-reports": "1.1.1",
+    "@types/yargs": "15.0.4"
+  },
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "@jest/globals@25.5.2",
+    "name": "@jest/globals",
+    "escapedName": "@jest%2fglobals",
+    "scope": "@jest",
+    "rawSpec": "25.5.2",
+    "saveSpec": null,
+    "fetchSpec": "25.5.2"
+  },
+  "_requiredBy": [
+    "/@jest/core/jest-runtime",
+    "/jest/jest-runtime"
+  ],
+  "_resolved": "https://registry.npmjs.org/@jest/globals/-/globals-25.5.2.tgz",
+  "_spec": "25.5.2",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/environment": "^25.5.0",
+    "@jest/types": "^25.5.0",
+    "expect": "^25.5.0"
+  },
+  "engines": {
+    "node": ">= 8.3"
+  },
+  "gitHead": "ad1b9dc090922a8ed5632ec7382ac999e6b8cac1",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "@jest/globals",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-globals"
+  },
+  "types": "build/index.d.ts",
+  "typesVersions": {
+    "<3.8": {
+      "build/*": [
+        "build/ts3.4/*"
+      ]
+    }
+  },
+  "version": "25.5.2"
+}
diff --git a/node_modules/@jest/reporters/build/coverage_reporter.js b/node_modules/@jest/reporters/build/coverage_reporter.js
index 3c9273821..1c2904f2b 100644
--- a/node_modules/@jest/reporters/build/coverage_reporter.js
+++ b/node_modules/@jest/reporters/build/coverage_reporter.js
@@ -16,7 +16,7 @@ function path() {
 }
 
 function fs() {
-  const data = _interopRequireWildcard(require('fs'));
+  const data = _interopRequireWildcard(require('graceful-fs'));
 
   fs = function () {
     return data;
@@ -224,29 +224,6 @@ class CoverageReporter extends _base_reporter.default {
     if (testResult.coverage) {
       this._coverageMap.merge(testResult.coverage);
     }
-
-    const sourceMaps = testResult.sourceMaps;
-
-    if (sourceMaps) {
-      Object.keys(sourceMaps).forEach(sourcePath => {
-        let inputSourceMap;
-
-        try {
-          const coverage = this._coverageMap.fileCoverageFor(sourcePath);
-
-          inputSourceMap = coverage.toJSON().inputSourceMap;
-        } finally {
-          if (inputSourceMap) {
-            this._sourceMapStore.registerMap(sourcePath, inputSourceMap);
-          } else {
-            this._sourceMapStore.registerURL(
-              sourcePath,
-              sourceMaps[sourcePath]
-            );
-          }
-        }
-      });
-    }
   }
 
   async onRunComplete(contexts, aggregatedResults) {
@@ -358,7 +335,10 @@ class CoverageReporter extends _base_reporter.default {
               ...this._options,
               changedFiles:
                 this._options.changedFiles &&
-                Array.from(this._options.changedFiles)
+                Array.from(this._options.changedFiles),
+              sourcesRelatedToTestsInChangedFiles:
+                this._options.sourcesRelatedToTestsInChangedFiles &&
+                Array.from(this._options.sourcesRelatedToTestsInChangedFiles)
             },
             path: filename
           });
@@ -373,13 +353,6 @@ class CoverageReporter extends _base_reporter.default {
               ]);
             } else {
               this._coverageMap.addFileCoverage(result.coverage);
-
-              if (result.sourceMapPath) {
-                this._sourceMapStore.registerURL(
-                  filename,
-                  result.sourceMapPath
-                );
-              }
             }
           }
         } catch (error) {
diff --git a/node_modules/@jest/reporters/build/coverage_worker.js b/node_modules/@jest/reporters/build/coverage_worker.js
index da36b5762..69e870912 100644
--- a/node_modules/@jest/reporters/build/coverage_worker.js
+++ b/node_modules/@jest/reporters/build/coverage_worker.js
@@ -6,7 +6,7 @@ Object.defineProperty(exports, '__esModule', {
 exports.worker = worker;
 
 function fs() {
-  const data = _interopRequireWildcard(require('fs'));
+  const data = _interopRequireWildcard(require('graceful-fs'));
 
   fs = function () {
     return data;
@@ -93,6 +93,11 @@ function worker({config, globalConfig, path, options}) {
     path,
     globalConfig,
     config,
-    options && options.changedFiles && new Set(options.changedFiles)
+    (options === null || options === void 0 ? void 0 : options.changedFiles) &&
+      new Set(options.changedFiles),
+    (options === null || options === void 0
+      ? void 0
+      : options.sourcesRelatedToTestsInChangedFiles) &&
+      new Set(options.sourcesRelatedToTestsInChangedFiles)
   );
 }
diff --git a/node_modules/@jest/reporters/build/generateEmptyCoverage.d.ts b/node_modules/@jest/reporters/build/generateEmptyCoverage.d.ts
index ba7094a0a..a4261ebeb 100644
--- a/node_modules/@jest/reporters/build/generateEmptyCoverage.d.ts
+++ b/node_modules/@jest/reporters/build/generateEmptyCoverage.d.ts
@@ -11,10 +11,9 @@ declare type SingleV8Coverage = V8Coverage[number];
 export declare type CoverageWorkerResult = {
     kind: 'BabelCoverage';
     coverage: FileCoverage;
-    sourceMapPath?: string | null;
 } | {
     kind: 'V8Coverage';
     result: SingleV8Coverage;
 };
-export default function (source: string, filename: Config.Path, globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, changedFiles?: Set<Config.Path>): CoverageWorkerResult | null;
+export default function (source: string, filename: Config.Path, globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, changedFiles?: Set<Config.Path>, sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>): CoverageWorkerResult | null;
 export {};
diff --git a/node_modules/@jest/reporters/build/generateEmptyCoverage.js b/node_modules/@jest/reporters/build/generateEmptyCoverage.js
index 3255126ec..9de22198a 100644
--- a/node_modules/@jest/reporters/build/generateEmptyCoverage.js
+++ b/node_modules/@jest/reporters/build/generateEmptyCoverage.js
@@ -6,7 +6,7 @@ Object.defineProperty(exports, '__esModule', {
 exports.default = _default;
 
 function fs() {
-  const data = _interopRequireWildcard(require('fs'));
+  const data = _interopRequireWildcard(require('graceful-fs'));
 
   fs = function () {
     return data;
@@ -93,13 +93,21 @@ function _interopRequireWildcard(obj) {
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
  */
-function _default(source, filename, globalConfig, config, changedFiles) {
+function _default(
+  source,
+  filename,
+  globalConfig,
+  config,
+  changedFiles,
+  sourcesRelatedToTestsInChangedFiles
+) {
   const coverageOptions = {
     changedFiles,
     collectCoverage: globalConfig.collectCoverage,
     collectCoverageFrom: globalConfig.collectCoverageFrom,
     collectCoverageOnlyFrom: globalConfig.collectCoverageOnlyFrom,
-    coverageProvider: globalConfig.coverageProvider
+    coverageProvider: globalConfig.coverageProvider,
+    sourcesRelatedToTestsInChangedFiles
   };
   let coverageWorkerResult = null;
 
@@ -128,11 +136,7 @@ function _default(source, filename, globalConfig, config, changedFiles) {
       };
     } // Transform file with instrumentation to make sure initial coverage data is well mapped to original code.
 
-    const {
-      code,
-      mapCoverage,
-      sourceMapPath
-    } = new (_transform().ScriptTransformer)(config).transformSource(
+    const {code} = new (_transform().ScriptTransformer)(config).transformSource(
       filename,
       source,
       true
@@ -145,8 +149,7 @@ function _default(source, filename, globalConfig, config, changedFiles) {
         coverage: (0, _istanbulLibCoverage().createFileCoverage)(
           extracted.coverageData
         ),
-        kind: 'BabelCoverage',
-        sourceMapPath: mapCoverage ? sourceMapPath : null
+        kind: 'BabelCoverage'
       };
     }
   }
diff --git a/node_modules/@jest/reporters/build/ts3.4/generateEmptyCoverage.d.ts b/node_modules/@jest/reporters/build/ts3.4/generateEmptyCoverage.d.ts
index c502242e3..3624e5ce7 100644
--- a/node_modules/@jest/reporters/build/ts3.4/generateEmptyCoverage.d.ts
+++ b/node_modules/@jest/reporters/build/ts3.4/generateEmptyCoverage.d.ts
@@ -11,10 +11,9 @@ declare type SingleV8Coverage = V8Coverage[number];
 export declare type CoverageWorkerResult = {
     kind: 'BabelCoverage';
     coverage: FileCoverage;
-    sourceMapPath?: string | null;
 } | {
     kind: 'V8Coverage';
     result: SingleV8Coverage;
 };
-export default function (source: string, filename: Config.Path, globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, changedFiles?: Set<Config.Path>): CoverageWorkerResult | null;
+export default function (source: string, filename: Config.Path, globalConfig: Config.GlobalConfig, config: Config.ProjectConfig, changedFiles?: Set<Config.Path>, sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>): CoverageWorkerResult | null;
 export {};
diff --git a/node_modules/@jest/reporters/build/ts3.4/types.d.ts b/node_modules/@jest/reporters/build/ts3.4/types.d.ts
index c5516facd..ae502da92 100644
--- a/node_modules/@jest/reporters/build/ts3.4/types.d.ts
+++ b/node_modules/@jest/reporters/build/ts3.4/types.d.ts
@@ -29,9 +29,11 @@ export declare type CoverageWorker = {
 };
 export declare type CoverageReporterOptions = {
     changedFiles?: Set<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>;
 };
 export declare type CoverageReporterSerializedOptions = {
     changedFiles?: Array<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Array<Config.Path>;
 };
 export declare type OnTestStart = (test: Test) => Promise<void>;
 export declare type OnTestFailure = (test: Test, error: SerializableError) => Promise<any>;
diff --git a/node_modules/@jest/reporters/build/types.d.ts b/node_modules/@jest/reporters/build/types.d.ts
index 874f3ba91..e1c71775d 100644
--- a/node_modules/@jest/reporters/build/types.d.ts
+++ b/node_modules/@jest/reporters/build/types.d.ts
@@ -29,9 +29,11 @@ export declare type CoverageWorker = {
 };
 export declare type CoverageReporterOptions = {
     changedFiles?: Set<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>;
 };
 export declare type CoverageReporterSerializedOptions = {
     changedFiles?: Array<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Array<Config.Path>;
 };
 export declare type OnTestStart = (test: Test) => Promise<void>;
 export declare type OnTestFailure = (test: Test, error: SerializableError) => Promise<any>;
diff --git a/node_modules/@jest/reporters/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/reporters/node_modules/@jest/types/build/Transform.d.ts
index ea3e511cb..af8063f7d 100644
--- a/node_modules/@jest/reporters/node_modules/@jest/types/build/Transform.d.ts
+++ b/node_modules/@jest/reporters/node_modules/@jest/types/build/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/reporters/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/reporters/node_modules/@jest/types/build/ts3.4/Transform.d.ts
index bcc63baf1..231ae24ca 100644
--- a/node_modules/@jest/reporters/node_modules/@jest/types/build/ts3.4/Transform.d.ts
+++ b/node_modules/@jest/reporters/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/reporters/node_modules/@jest/types/package.json b/node_modules/@jest/reporters/node_modules/@jest/types/package.json
index 1deb26a9a..aeb56ff45 100644
--- a/node_modules/@jest/reporters/node_modules/@jest/types/package.json
+++ b/node_modules/@jest/reporters/node_modules/@jest/types/package.json
@@ -1,34 +1,34 @@
 {
   "_args": [
     [
-      "@jest/types@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/types@25.4.0",
-  "_id": "@jest/types@25.4.0",
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-XBeaWNzw2PPnGW5aXvZt3+VO60M+34RY3XDsCK5tW7kyj3RK0XClRutCfjqcBuaR2aBQTbluEDME9b5MB9UAPw==",
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
   "_location": "/@jest/reporters/@jest/types",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/types@25.4.0",
+    "raw": "@jest/types@25.5.0",
     "name": "@jest/types",
     "escapedName": "@jest%2ftypes",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/reporters"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
@@ -44,7 +44,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -65,5 +65,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/reporters/node_modules/ansi-styles/package.json b/node_modules/@jest/reporters/node_modules/ansi-styles/package.json
index 5ef0bf2ef..e8bb17cee 100644
--- a/node_modules/@jest/reporters/node_modules/ansi-styles/package.json
+++ b/node_modules/@jest/reporters/node_modules/ansi-styles/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ansi-styles@4.2.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
   "_spec": "4.2.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/reporters/node_modules/chalk/package.json b/node_modules/@jest/reporters/node_modules/chalk/package.json
index 6199c641a..f0127bbd7 100644
--- a/node_modules/@jest/reporters/node_modules/chalk/package.json
+++ b/node_modules/@jest/reporters/node_modules/chalk/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "chalk@3.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
   "_spec": "3.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/chalk/chalk/issues"
   },
diff --git a/node_modules/@jest/reporters/node_modules/color-convert/package.json b/node_modules/@jest/reporters/node_modules/color-convert/package.json
index c3cbcdf63..7872693f9 100644
--- a/node_modules/@jest/reporters/node_modules/color-convert/package.json
+++ b/node_modules/@jest/reporters/node_modules/color-convert/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-convert@2.0.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
   "_spec": "2.0.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Heather Arthur",
     "email": "fayearthur@gmail.com"
diff --git a/node_modules/@jest/reporters/node_modules/color-name/package.json b/node_modules/@jest/reporters/node_modules/color-name/package.json
index 21d7763c9..029bf9c29 100644
--- a/node_modules/@jest/reporters/node_modules/color-name/package.json
+++ b/node_modules/@jest/reporters/node_modules/color-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-name@1.1.4",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
   "_spec": "1.1.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "DY",
     "email": "dfcreative@gmail.com"
diff --git a/node_modules/@jest/reporters/node_modules/graceful-fs/LICENSE b/node_modules/@jest/reporters/node_modules/graceful-fs/LICENSE
new file mode 100644
index 000000000..9d2c80369
--- /dev/null
+++ b/node_modules/@jest/reporters/node_modules/graceful-fs/LICENSE
@@ -0,0 +1,15 @@
+The ISC License
+
+Copyright (c) Isaac Z. Schlueter, Ben Noordhuis, and Contributors
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted, provided that the above
+copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
+WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
+MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
+ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
+IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
diff --git a/node_modules/@jest/reporters/node_modules/graceful-fs/README.md b/node_modules/@jest/reporters/node_modules/graceful-fs/README.md
new file mode 100644
index 000000000..5273a50ad
--- /dev/null
+++ b/node_modules/@jest/reporters/node_modules/graceful-fs/README.md
@@ -0,0 +1,133 @@
+# graceful-fs
+
+graceful-fs functions as a drop-in replacement for the fs module,
+making various improvements.
+
+The improvements are meant to normalize behavior across different
+platforms and environments, and to make filesystem access more
+resilient to errors.
+
+## Improvements over [fs module](https://nodejs.org/api/fs.html)
+
+* Queues up `open` and `readdir` calls, and retries them once
+  something closes if there is an EMFILE error from too many file
+  descriptors.
+* fixes `lchmod` for Node versions prior to 0.6.2.
+* implements `fs.lutimes` if possible. Otherwise it becomes a noop.
+* ignores `EINVAL` and `EPERM` errors in `chown`, `fchown` or
+  `lchown` if the user isn't root.
+* makes `lchmod` and `lchown` become noops, if not available.
+* retries reading a file if `read` results in EAGAIN error.
+
+On Windows, it retries renaming a file for up to one second if `EACCESS`
+or `EPERM` error occurs, likely because antivirus software has locked
+the directory.
+
+## USAGE
+
+```javascript
+// use just like fs
+var fs = require('graceful-fs')
+
+// now go and do stuff with it...
+fs.readFileSync('some-file-or-whatever')
+```
+
+## Global Patching
+
+If you want to patch the global fs module (or any other fs-like
+module) you can do this:
+
+```javascript
+// Make sure to read the caveat below.
+var realFs = require('fs')
+var gracefulFs = require('graceful-fs')
+gracefulFs.gracefulify(realFs)
+```
+
+This should only ever be done at the top-level application layer, in
+order to delay on EMFILE errors from any fs-using dependencies.  You
+should **not** do this in a library, because it can cause unexpected
+delays in other parts of the program.
+
+## Changes
+
+This module is fairly stable at this point, and used by a lot of
+things.  That being said, because it implements a subtle behavior
+change in a core part of the node API, even modest changes can be
+extremely breaking, and the versioning is thus biased towards
+bumping the major when in doubt.
+
+The main change between major versions has been switching between
+providing a fully-patched `fs` module vs monkey-patching the node core
+builtin, and the approach by which a non-monkey-patched `fs` was
+created.
+
+The goal is to trade `EMFILE` errors for slower fs operations.  So, if
+you try to open a zillion files, rather than crashing, `open`
+operations will be queued up and wait for something else to `close`.
+
+There are advantages to each approach.  Monkey-patching the fs means
+that no `EMFILE` errors can possibly occur anywhere in your
+application, because everything is using the same core `fs` module,
+which is patched.  However, it can also obviously cause undesirable
+side-effects, especially if the module is loaded multiple times.
+
+Implementing a separate-but-identical patched `fs` module is more
+surgical (and doesn't run the risk of patching multiple times), but
+also imposes the challenge of keeping in sync with the core module.
+
+The current approach loads the `fs` module, and then creates a
+lookalike object that has all the same methods, except a few that are
+patched.  It is safe to use in all versions of Node from 0.8 through
+7.0.
+
+### v4
+
+* Do not monkey-patch the fs module.  This module may now be used as a
+  drop-in dep, and users can opt into monkey-patching the fs builtin
+  if their app requires it.
+
+### v3
+
+* Monkey-patch fs, because the eval approach no longer works on recent
+  node.
+* fixed possible type-error throw if rename fails on windows
+* verify that we *never* get EMFILE errors
+* Ignore ENOSYS from chmod/chown
+* clarify that graceful-fs must be used as a drop-in
+
+### v2.1.0
+
+* Use eval rather than monkey-patching fs.
+* readdir: Always sort the results
+* win32: requeue a file if error has an OK status
+
+### v2.0
+
+* A return to monkey patching
+* wrap process.cwd
+
+### v1.1
+
+* wrap readFile
+* Wrap fs.writeFile.
+* readdir protection
+* Don't clobber the fs builtin
+* Handle fs.read EAGAIN errors by trying again
+* Expose the curOpen counter
+* No-op lchown/lchmod if not implemented
+* fs.rename patch only for win32
+* Patch fs.rename to handle AV software on Windows
+* Close #4 Chown should not fail on einval or eperm if non-root
+* Fix isaacs/fstream#1 Only wrap fs one time
+* Fix #3 Start at 1024 max files, then back off on EMFILE
+* lutimes that doens't blow up on Linux
+* A full on-rewrite using a queue instead of just swallowing the EMFILE error
+* Wrap Read/Write streams as well
+
+### 1.0
+
+* Update engines for node 0.6
+* Be lstat-graceful on Windows
+* first
diff --git a/node_modules/@jest/reporters/node_modules/graceful-fs/clone.js b/node_modules/@jest/reporters/node_modules/graceful-fs/clone.js
new file mode 100644
index 000000000..028356c96
--- /dev/null
+++ b/node_modules/@jest/reporters/node_modules/graceful-fs/clone.js
@@ -0,0 +1,19 @@
+'use strict'
+
+module.exports = clone
+
+function clone (obj) {
+  if (obj === null || typeof obj !== 'object')
+    return obj
+
+  if (obj instanceof Object)
+    var copy = { __proto__: obj.__proto__ }
+  else
+    var copy = Object.create(null)
+
+  Object.getOwnPropertyNames(obj).forEach(function (key) {
+    Object.defineProperty(copy, key, Object.getOwnPropertyDescriptor(obj, key))
+  })
+
+  return copy
+}
diff --git a/node_modules/@jest/reporters/node_modules/graceful-fs/graceful-fs.js b/node_modules/@jest/reporters/node_modules/graceful-fs/graceful-fs.js
new file mode 100644
index 000000000..de3df47fd
--- /dev/null
+++ b/node_modules/@jest/reporters/node_modules/graceful-fs/graceful-fs.js
@@ -0,0 +1,354 @@
+var fs = require('fs')
+var polyfills = require('./polyfills.js')
+var legacy = require('./legacy-streams.js')
+var clone = require('./clone.js')
+
+var util = require('util')
+
+/* istanbul ignore next - node 0.x polyfill */
+var gracefulQueue
+var previousSymbol
+
+/* istanbul ignore else - node 0.x polyfill */
+if (typeof Symbol === 'function' && typeof Symbol.for === 'function') {
+  gracefulQueue = Symbol.for('graceful-fs.queue')
+  // This is used in testing by future versions
+  previousSymbol = Symbol.for('graceful-fs.previous')
+} else {
+  gracefulQueue = '___graceful-fs.queue'
+  previousSymbol = '___graceful-fs.previous'
+}
+
+function noop () {}
+
+function publishQueue(context, queue) {
+  Object.defineProperty(context, gracefulQueue, {
+    get: function() {
+      return queue
+    }
+  })
+}
+
+var debug = noop
+if (util.debuglog)
+  debug = util.debuglog('gfs4')
+else if (/\bgfs4\b/i.test(process.env.NODE_DEBUG || ''))
+  debug = function() {
+    var m = util.format.apply(util, arguments)
+    m = 'GFS4: ' + m.split(/\n/).join('\nGFS4: ')
+    console.error(m)
+  }
+
+// Once time initialization
+if (!fs[gracefulQueue]) {
+  // This queue can be shared by multiple loaded instances
+  var queue = global[gracefulQueue] || []
+  publishQueue(fs, queue)
+
+  // Patch fs.close/closeSync to shared queue version, because we need
+  // to retry() whenever a close happens *anywhere* in the program.
+  // This is essential when multiple graceful-fs instances are
+  // in play at the same time.
+  fs.close = (function (fs$close) {
+    function close (fd, cb) {
+      return fs$close.call(fs, fd, function (err) {
+        // This function uses the graceful-fs shared queue
+        if (!err) {
+          retry()
+        }
+
+        if (typeof cb === 'function')
+          cb.apply(this, arguments)
+      })
+    }
+
+    Object.defineProperty(close, previousSymbol, {
+      value: fs$close
+    })
+    return close
+  })(fs.close)
+
+  fs.closeSync = (function (fs$closeSync) {
+    function closeSync (fd) {
+      // This function uses the graceful-fs shared queue
+      fs$closeSync.apply(fs, arguments)
+      retry()
+    }
+
+    Object.defineProperty(closeSync, previousSymbol, {
+      value: fs$closeSync
+    })
+    return closeSync
+  })(fs.closeSync)
+
+  if (/\bgfs4\b/i.test(process.env.NODE_DEBUG || '')) {
+    process.on('exit', function() {
+      debug(fs[gracefulQueue])
+      require('assert').equal(fs[gracefulQueue].length, 0)
+    })
+  }
+}
+
+if (!global[gracefulQueue]) {
+  publishQueue(global, fs[gracefulQueue]);
+}
+
+module.exports = patch(clone(fs))
+if (process.env.TEST_GRACEFUL_FS_GLOBAL_PATCH && !fs.__patched) {
+    module.exports = patch(fs)
+    fs.__patched = true;
+}
+
+function patch (fs) {
+  // Everything that references the open() function needs to be in here
+  polyfills(fs)
+  fs.gracefulify = patch
+
+  fs.createReadStream = createReadStream
+  fs.createWriteStream = createWriteStream
+  var fs$readFile = fs.readFile
+  fs.readFile = readFile
+  function readFile (path, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$readFile(path, options, cb)
+
+    function go$readFile (path, options, cb) {
+      return fs$readFile(path, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$readFile, [path, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$writeFile = fs.writeFile
+  fs.writeFile = writeFile
+  function writeFile (path, data, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$writeFile(path, data, options, cb)
+
+    function go$writeFile (path, data, options, cb) {
+      return fs$writeFile(path, data, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$writeFile, [path, data, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$appendFile = fs.appendFile
+  if (fs$appendFile)
+    fs.appendFile = appendFile
+  function appendFile (path, data, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$appendFile(path, data, options, cb)
+
+    function go$appendFile (path, data, options, cb) {
+      return fs$appendFile(path, data, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$appendFile, [path, data, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$readdir = fs.readdir
+  fs.readdir = readdir
+  function readdir (path, options, cb) {
+    var args = [path]
+    if (typeof options !== 'function') {
+      args.push(options)
+    } else {
+      cb = options
+    }
+    args.push(go$readdir$cb)
+
+    return go$readdir(args)
+
+    function go$readdir$cb (err, files) {
+      if (files && files.sort)
+        files.sort()
+
+      if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+        enqueue([go$readdir, [args]])
+
+      else {
+        if (typeof cb === 'function')
+          cb.apply(this, arguments)
+        retry()
+      }
+    }
+  }
+
+  function go$readdir (args) {
+    return fs$readdir.apply(fs, args)
+  }
+
+  if (process.version.substr(0, 4) === 'v0.8') {
+    var legStreams = legacy(fs)
+    ReadStream = legStreams.ReadStream
+    WriteStream = legStreams.WriteStream
+  }
+
+  var fs$ReadStream = fs.ReadStream
+  if (fs$ReadStream) {
+    ReadStream.prototype = Object.create(fs$ReadStream.prototype)
+    ReadStream.prototype.open = ReadStream$open
+  }
+
+  var fs$WriteStream = fs.WriteStream
+  if (fs$WriteStream) {
+    WriteStream.prototype = Object.create(fs$WriteStream.prototype)
+    WriteStream.prototype.open = WriteStream$open
+  }
+
+  Object.defineProperty(fs, 'ReadStream', {
+    get: function () {
+      return ReadStream
+    },
+    set: function (val) {
+      ReadStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+  Object.defineProperty(fs, 'WriteStream', {
+    get: function () {
+      return WriteStream
+    },
+    set: function (val) {
+      WriteStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+
+  // legacy names
+  var FileReadStream = ReadStream
+  Object.defineProperty(fs, 'FileReadStream', {
+    get: function () {
+      return FileReadStream
+    },
+    set: function (val) {
+      FileReadStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+  var FileWriteStream = WriteStream
+  Object.defineProperty(fs, 'FileWriteStream', {
+    get: function () {
+      return FileWriteStream
+    },
+    set: function (val) {
+      FileWriteStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+
+  function ReadStream (path, options) {
+    if (this instanceof ReadStream)
+      return fs$ReadStream.apply(this, arguments), this
+    else
+      return ReadStream.apply(Object.create(ReadStream.prototype), arguments)
+  }
+
+  function ReadStream$open () {
+    var that = this
+    open(that.path, that.flags, that.mode, function (err, fd) {
+      if (err) {
+        if (that.autoClose)
+          that.destroy()
+
+        that.emit('error', err)
+      } else {
+        that.fd = fd
+        that.emit('open', fd)
+        that.read()
+      }
+    })
+  }
+
+  function WriteStream (path, options) {
+    if (this instanceof WriteStream)
+      return fs$WriteStream.apply(this, arguments), this
+    else
+      return WriteStream.apply(Object.create(WriteStream.prototype), arguments)
+  }
+
+  function WriteStream$open () {
+    var that = this
+    open(that.path, that.flags, that.mode, function (err, fd) {
+      if (err) {
+        that.destroy()
+        that.emit('error', err)
+      } else {
+        that.fd = fd
+        that.emit('open', fd)
+      }
+    })
+  }
+
+  function createReadStream (path, options) {
+    return new fs.ReadStream(path, options)
+  }
+
+  function createWriteStream (path, options) {
+    return new fs.WriteStream(path, options)
+  }
+
+  var fs$open = fs.open
+  fs.open = open
+  function open (path, flags, mode, cb) {
+    if (typeof mode === 'function')
+      cb = mode, mode = null
+
+    return go$open(path, flags, mode, cb)
+
+    function go$open (path, flags, mode, cb) {
+      return fs$open(path, flags, mode, function (err, fd) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$open, [path, flags, mode, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  return fs
+}
+
+function enqueue (elem) {
+  debug('ENQUEUE', elem[0].name, elem[1])
+  fs[gracefulQueue].push(elem)
+}
+
+function retry () {
+  var elem = fs[gracefulQueue].shift()
+  if (elem) {
+    debug('RETRY', elem[0].name, elem[1])
+    elem[0].apply(null, elem[1])
+  }
+}
diff --git a/node_modules/@jest/reporters/node_modules/graceful-fs/legacy-streams.js b/node_modules/@jest/reporters/node_modules/graceful-fs/legacy-streams.js
new file mode 100644
index 000000000..d617b50fc
--- /dev/null
+++ b/node_modules/@jest/reporters/node_modules/graceful-fs/legacy-streams.js
@@ -0,0 +1,118 @@
+var Stream = require('stream').Stream
+
+module.exports = legacy
+
+function legacy (fs) {
+  return {
+    ReadStream: ReadStream,
+    WriteStream: WriteStream
+  }
+
+  function ReadStream (path, options) {
+    if (!(this instanceof ReadStream)) return new ReadStream(path, options);
+
+    Stream.call(this);
+
+    var self = this;
+
+    this.path = path;
+    this.fd = null;
+    this.readable = true;
+    this.paused = false;
+
+    this.flags = 'r';
+    this.mode = 438; /*=0666*/
+    this.bufferSize = 64 * 1024;
+
+    options = options || {};
+
+    // Mixin options into this
+    var keys = Object.keys(options);
+    for (var index = 0, length = keys.length; index < length; index++) {
+      var key = keys[index];
+      this[key] = options[key];
+    }
+
+    if (this.encoding) this.setEncoding(this.encoding);
+
+    if (this.start !== undefined) {
+      if ('number' !== typeof this.start) {
+        throw TypeError('start must be a Number');
+      }
+      if (this.end === undefined) {
+        this.end = Infinity;
+      } else if ('number' !== typeof this.end) {
+        throw TypeError('end must be a Number');
+      }
+
+      if (this.start > this.end) {
+        throw new Error('start must be <= end');
+      }
+
+      this.pos = this.start;
+    }
+
+    if (this.fd !== null) {
+      process.nextTick(function() {
+        self._read();
+      });
+      return;
+    }
+
+    fs.open(this.path, this.flags, this.mode, function (err, fd) {
+      if (err) {
+        self.emit('error', err);
+        self.readable = false;
+        return;
+      }
+
+      self.fd = fd;
+      self.emit('open', fd);
+      self._read();
+    })
+  }
+
+  function WriteStream (path, options) {
+    if (!(this instanceof WriteStream)) return new WriteStream(path, options);
+
+    Stream.call(this);
+
+    this.path = path;
+    this.fd = null;
+    this.writable = true;
+
+    this.flags = 'w';
+    this.encoding = 'binary';
+    this.mode = 438; /*=0666*/
+    this.bytesWritten = 0;
+
+    options = options || {};
+
+    // Mixin options into this
+    var keys = Object.keys(options);
+    for (var index = 0, length = keys.length; index < length; index++) {
+      var key = keys[index];
+      this[key] = options[key];
+    }
+
+    if (this.start !== undefined) {
+      if ('number' !== typeof this.start) {
+        throw TypeError('start must be a Number');
+      }
+      if (this.start < 0) {
+        throw new Error('start must be >= zero');
+      }
+
+      this.pos = this.start;
+    }
+
+    this.busy = false;
+    this._queue = [];
+
+    if (this.fd === null) {
+      this._open = fs.open;
+      this._queue.push([this._open, this.path, this.flags, this.mode, undefined]);
+      this.flush();
+    }
+  }
+}
diff --git a/node_modules/@jest/reporters/node_modules/graceful-fs/package.json b/node_modules/@jest/reporters/node_modules/graceful-fs/package.json
new file mode 100644
index 000000000..46d4ed601
--- /dev/null
+++ b/node_modules/@jest/reporters/node_modules/graceful-fs/package.json
@@ -0,0 +1,83 @@
+{
+  "_args": [
+    [
+      "graceful-fs@4.2.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "graceful-fs@4.2.4",
+  "_id": "graceful-fs@4.2.4",
+  "_inBundle": false,
+  "_integrity": "sha512-WjKPNJF79dtJAVniUlGGWHYGz2jWxT6VhN/4m1NdkbZ2nOsEF+cI1Edgql5zCRhs/VsQYRvrXctxktVXZUkixw==",
+  "_location": "/@jest/reporters/graceful-fs",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "graceful-fs@4.2.4",
+    "name": "graceful-fs",
+    "escapedName": "graceful-fs",
+    "rawSpec": "4.2.4",
+    "saveSpec": null,
+    "fetchSpec": "4.2.4"
+  },
+  "_requiredBy": [
+    "/@jest/reporters"
+  ],
+  "_resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.4.tgz",
+  "_spec": "4.2.4",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/isaacs/node-graceful-fs/issues"
+  },
+  "dependencies": {},
+  "description": "A drop-in replacement for fs, making various improvements.",
+  "devDependencies": {
+    "import-fresh": "^2.0.0",
+    "mkdirp": "^0.5.0",
+    "rimraf": "^2.2.8",
+    "tap": "^12.7.0"
+  },
+  "directories": {
+    "test": "test"
+  },
+  "files": [
+    "fs.js",
+    "graceful-fs.js",
+    "legacy-streams.js",
+    "polyfills.js",
+    "clone.js"
+  ],
+  "homepage": "https://github.com/isaacs/node-graceful-fs#readme",
+  "keywords": [
+    "fs",
+    "module",
+    "reading",
+    "retry",
+    "retries",
+    "queue",
+    "error",
+    "errors",
+    "handling",
+    "EMFILE",
+    "EAGAIN",
+    "EINVAL",
+    "EPERM",
+    "EACCESS"
+  ],
+  "license": "ISC",
+  "main": "graceful-fs.js",
+  "name": "graceful-fs",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/isaacs/node-graceful-fs.git"
+  },
+  "scripts": {
+    "postpublish": "git push origin --follow-tags",
+    "postversion": "npm publish",
+    "preversion": "npm test",
+    "test": "node test.js | tap -"
+  },
+  "version": "4.2.4"
+}
diff --git a/node_modules/@jest/reporters/node_modules/graceful-fs/polyfills.js b/node_modules/@jest/reporters/node_modules/graceful-fs/polyfills.js
new file mode 100644
index 000000000..a5808d23f
--- /dev/null
+++ b/node_modules/@jest/reporters/node_modules/graceful-fs/polyfills.js
@@ -0,0 +1,342 @@
+var constants = require('constants')
+
+var origCwd = process.cwd
+var cwd = null
+
+var platform = process.env.GRACEFUL_FS_PLATFORM || process.platform
+
+process.cwd = function() {
+  if (!cwd)
+    cwd = origCwd.call(process)
+  return cwd
+}
+try {
+  process.cwd()
+} catch (er) {}
+
+var chdir = process.chdir
+process.chdir = function(d) {
+  cwd = null
+  chdir.call(process, d)
+}
+
+module.exports = patch
+
+function patch (fs) {
+  // (re-)implement some things that are known busted or missing.
+
+  // lchmod, broken prior to 0.6.2
+  // back-port the fix here.
+  if (constants.hasOwnProperty('O_SYMLINK') &&
+      process.version.match(/^v0\.6\.[0-2]|^v0\.5\./)) {
+    patchLchmod(fs)
+  }
+
+  // lutimes implementation, or no-op
+  if (!fs.lutimes) {
+    patchLutimes(fs)
+  }
+
+  // https://github.com/isaacs/node-graceful-fs/issues/4
+  // Chown should not fail on einval or eperm if non-root.
+  // It should not fail on enosys ever, as this just indicates
+  // that a fs doesn't support the intended operation.
+
+  fs.chown = chownFix(fs.chown)
+  fs.fchown = chownFix(fs.fchown)
+  fs.lchown = chownFix(fs.lchown)
+
+  fs.chmod = chmodFix(fs.chmod)
+  fs.fchmod = chmodFix(fs.fchmod)
+  fs.lchmod = chmodFix(fs.lchmod)
+
+  fs.chownSync = chownFixSync(fs.chownSync)
+  fs.fchownSync = chownFixSync(fs.fchownSync)
+  fs.lchownSync = chownFixSync(fs.lchownSync)
+
+  fs.chmodSync = chmodFixSync(fs.chmodSync)
+  fs.fchmodSync = chmodFixSync(fs.fchmodSync)
+  fs.lchmodSync = chmodFixSync(fs.lchmodSync)
+
+  fs.stat = statFix(fs.stat)
+  fs.fstat = statFix(fs.fstat)
+  fs.lstat = statFix(fs.lstat)
+
+  fs.statSync = statFixSync(fs.statSync)
+  fs.fstatSync = statFixSync(fs.fstatSync)
+  fs.lstatSync = statFixSync(fs.lstatSync)
+
+  // if lchmod/lchown do not exist, then make them no-ops
+  if (!fs.lchmod) {
+    fs.lchmod = function (path, mode, cb) {
+      if (cb) process.nextTick(cb)
+    }
+    fs.lchmodSync = function () {}
+  }
+  if (!fs.lchown) {
+    fs.lchown = function (path, uid, gid, cb) {
+      if (cb) process.nextTick(cb)
+    }
+    fs.lchownSync = function () {}
+  }
+
+  // on Windows, A/V software can lock the directory, causing this
+  // to fail with an EACCES or EPERM if the directory contains newly
+  // created files.  Try again on failure, for up to 60 seconds.
+
+  // Set the timeout this long because some Windows Anti-Virus, such as Parity
+  // bit9, may lock files for up to a minute, causing npm package install
+  // failures. Also, take care to yield the scheduler. Windows scheduling gives
+  // CPU to a busy looping process, which can cause the program causing the lock
+  // contention to be starved of CPU by node, so the contention doesn't resolve.
+  if (platform === "win32") {
+    fs.rename = (function (fs$rename) { return function (from, to, cb) {
+      var start = Date.now()
+      var backoff = 0;
+      fs$rename(from, to, function CB (er) {
+        if (er
+            && (er.code === "EACCES" || er.code === "EPERM")
+            && Date.now() - start < 60000) {
+          setTimeout(function() {
+            fs.stat(to, function (stater, st) {
+              if (stater && stater.code === "ENOENT")
+                fs$rename(from, to, CB);
+              else
+                cb(er)
+            })
+          }, backoff)
+          if (backoff < 100)
+            backoff += 10;
+          return;
+        }
+        if (cb) cb(er)
+      })
+    }})(fs.rename)
+  }
+
+  // if read() returns EAGAIN, then just try it again.
+  fs.read = (function (fs$read) {
+    function read (fd, buffer, offset, length, position, callback_) {
+      var callback
+      if (callback_ && typeof callback_ === 'function') {
+        var eagCounter = 0
+        callback = function (er, _, __) {
+          if (er && er.code === 'EAGAIN' && eagCounter < 10) {
+            eagCounter ++
+            return fs$read.call(fs, fd, buffer, offset, length, position, callback)
+          }
+          callback_.apply(this, arguments)
+        }
+      }
+      return fs$read.call(fs, fd, buffer, offset, length, position, callback)
+    }
+
+    // This ensures `util.promisify` works as it does for native `fs.read`.
+    read.__proto__ = fs$read
+    return read
+  })(fs.read)
+
+  fs.readSync = (function (fs$readSync) { return function (fd, buffer, offset, length, position) {
+    var eagCounter = 0
+    while (true) {
+      try {
+        return fs$readSync.call(fs, fd, buffer, offset, length, position)
+      } catch (er) {
+        if (er.code === 'EAGAIN' && eagCounter < 10) {
+          eagCounter ++
+          continue
+        }
+        throw er
+      }
+    }
+  }})(fs.readSync)
+
+  function patchLchmod (fs) {
+    fs.lchmod = function (path, mode, callback) {
+      fs.open( path
+             , constants.O_WRONLY | constants.O_SYMLINK
+             , mode
+             , function (err, fd) {
+        if (err) {
+          if (callback) callback(err)
+          return
+        }
+        // prefer to return the chmod error, if one occurs,
+        // but still try to close, and report closing errors if they occur.
+        fs.fchmod(fd, mode, function (err) {
+          fs.close(fd, function(err2) {
+            if (callback) callback(err || err2)
+          })
+        })
+      })
+    }
+
+    fs.lchmodSync = function (path, mode) {
+      var fd = fs.openSync(path, constants.O_WRONLY | constants.O_SYMLINK, mode)
+
+      // prefer to return the chmod error, if one occurs,
+      // but still try to close, and report closing errors if they occur.
+      var threw = true
+      var ret
+      try {
+        ret = fs.fchmodSync(fd, mode)
+        threw = false
+      } finally {
+        if (threw) {
+          try {
+            fs.closeSync(fd)
+          } catch (er) {}
+        } else {
+          fs.closeSync(fd)
+        }
+      }
+      return ret
+    }
+  }
+
+  function patchLutimes (fs) {
+    if (constants.hasOwnProperty("O_SYMLINK")) {
+      fs.lutimes = function (path, at, mt, cb) {
+        fs.open(path, constants.O_SYMLINK, function (er, fd) {
+          if (er) {
+            if (cb) cb(er)
+            return
+          }
+          fs.futimes(fd, at, mt, function (er) {
+            fs.close(fd, function (er2) {
+              if (cb) cb(er || er2)
+            })
+          })
+        })
+      }
+
+      fs.lutimesSync = function (path, at, mt) {
+        var fd = fs.openSync(path, constants.O_SYMLINK)
+        var ret
+        var threw = true
+        try {
+          ret = fs.futimesSync(fd, at, mt)
+          threw = false
+        } finally {
+          if (threw) {
+            try {
+              fs.closeSync(fd)
+            } catch (er) {}
+          } else {
+            fs.closeSync(fd)
+          }
+        }
+        return ret
+      }
+
+    } else {
+      fs.lutimes = function (_a, _b, _c, cb) { if (cb) process.nextTick(cb) }
+      fs.lutimesSync = function () {}
+    }
+  }
+
+  function chmodFix (orig) {
+    if (!orig) return orig
+    return function (target, mode, cb) {
+      return orig.call(fs, target, mode, function (er) {
+        if (chownErOk(er)) er = null
+        if (cb) cb.apply(this, arguments)
+      })
+    }
+  }
+
+  function chmodFixSync (orig) {
+    if (!orig) return orig
+    return function (target, mode) {
+      try {
+        return orig.call(fs, target, mode)
+      } catch (er) {
+        if (!chownErOk(er)) throw er
+      }
+    }
+  }
+
+
+  function chownFix (orig) {
+    if (!orig) return orig
+    return function (target, uid, gid, cb) {
+      return orig.call(fs, target, uid, gid, function (er) {
+        if (chownErOk(er)) er = null
+        if (cb) cb.apply(this, arguments)
+      })
+    }
+  }
+
+  function chownFixSync (orig) {
+    if (!orig) return orig
+    return function (target, uid, gid) {
+      try {
+        return orig.call(fs, target, uid, gid)
+      } catch (er) {
+        if (!chownErOk(er)) throw er
+      }
+    }
+  }
+
+  function statFix (orig) {
+    if (!orig) return orig
+    // Older versions of Node erroneously returned signed integers for
+    // uid + gid.
+    return function (target, options, cb) {
+      if (typeof options === 'function') {
+        cb = options
+        options = null
+      }
+      function callback (er, stats) {
+        if (stats) {
+          if (stats.uid < 0) stats.uid += 0x100000000
+          if (stats.gid < 0) stats.gid += 0x100000000
+        }
+        if (cb) cb.apply(this, arguments)
+      }
+      return options ? orig.call(fs, target, options, callback)
+        : orig.call(fs, target, callback)
+    }
+  }
+
+  function statFixSync (orig) {
+    if (!orig) return orig
+    // Older versions of Node erroneously returned signed integers for
+    // uid + gid.
+    return function (target, options) {
+      var stats = options ? orig.call(fs, target, options)
+        : orig.call(fs, target)
+      if (stats.uid < 0) stats.uid += 0x100000000
+      if (stats.gid < 0) stats.gid += 0x100000000
+      return stats;
+    }
+  }
+
+  // ENOSYS means that the fs doesn't support the op. Just ignore
+  // that, because it doesn't matter.
+  //
+  // if there's no getuid, or if getuid() is something other
+  // than 0, and the error is EINVAL or EPERM, then just ignore
+  // it.
+  //
+  // This specific case is a silent failure in cp, install, tar,
+  // and most other unix tools that manage permissions.
+  //
+  // When running as root, or if other types of errors are
+  // encountered, then it's strict.
+  function chownErOk (er) {
+    if (!er)
+      return true
+
+    if (er.code === "ENOSYS")
+      return true
+
+    var nonroot = !process.getuid || process.getuid() !== 0
+    if (nonroot) {
+      if (er.code === "EINVAL" || er.code === "EPERM")
+        return true
+    }
+
+    return false
+  }
+}
diff --git a/node_modules/@jest/reporters/node_modules/has-flag/package.json b/node_modules/@jest/reporters/node_modules/has-flag/package.json
index 7d2160ef2..c6f14dfc0 100644
--- a/node_modules/@jest/reporters/node_modules/has-flag/package.json
+++ b/node_modules/@jest/reporters/node_modules/has-flag/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "has-flag@4.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/WorkerPool.js b/node_modules/@jest/reporters/node_modules/jest-worker/build/WorkerPool.js
deleted file mode 100644
index 752ea5b11..000000000
--- a/node_modules/@jest/reporters/node_modules/jest-worker/build/WorkerPool.js
+++ /dev/null
@@ -1,49 +0,0 @@
-'use strict';
-
-Object.defineProperty(exports, '__esModule', {
-  value: true
-});
-exports.default = void 0;
-
-var _BaseWorkerPool = _interopRequireDefault(require('./base/BaseWorkerPool'));
-
-function _interopRequireDefault(obj) {
-  return obj && obj.__esModule ? obj : {default: obj};
-}
-
-/**
- * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE file in the root directory of this source tree.
- */
-const canUseWorkerThreads = () => {
-  try {
-    require('worker_threads');
-
-    return true;
-  } catch (_) {
-    return false;
-  }
-};
-
-class WorkerPool extends _BaseWorkerPool.default {
-  send(workerId, request, onStart, onEnd) {
-    this.getWorkerById(workerId).send(request, onStart, onEnd);
-  }
-
-  createWorker(workerOptions) {
-    let Worker;
-
-    if (this._options.enableWorkerThreads && canUseWorkerThreads()) {
-      Worker = require('./workers/NodeThreadsWorker').default;
-    } else {
-      Worker = require('./workers/ChildProcessWorker').default;
-    }
-
-    return new Worker(workerOptions);
-  }
-}
-
-var _default = WorkerPool;
-exports.default = _default;
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/package.json b/node_modules/@jest/reporters/node_modules/jest-worker/package.json
deleted file mode 100644
index 0d68676a8..000000000
--- a/node_modules/@jest/reporters/node_modules/jest-worker/package.json
+++ /dev/null
@@ -1,71 +0,0 @@
-{
-  "_args": [
-    [
-      "jest-worker@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
-    ]
-  ],
-  "_development": true,
-  "_from": "jest-worker@25.4.0",
-  "_id": "jest-worker@25.4.0",
-  "_inBundle": false,
-  "_integrity": "sha512-ghAs/1FtfYpMmYQ0AHqxV62XPvKdUDIBBApMZfly+E9JEmYh2K45G0R5dWxx986RN12pRCxsViwQVtGl+N4whw==",
-  "_location": "/@jest/reporters/jest-worker",
-  "_phantomChildren": {},
-  "_requested": {
-    "type": "version",
-    "registry": true,
-    "raw": "jest-worker@25.4.0",
-    "name": "jest-worker",
-    "escapedName": "jest-worker",
-    "rawSpec": "25.4.0",
-    "saveSpec": null,
-    "fetchSpec": "25.4.0"
-  },
-  "_requiredBy": [
-    "/@jest/reporters"
-  ],
-  "_resolved": "https://registry.npmjs.org/jest-worker/-/jest-worker-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
-  "bugs": {
-    "url": "https://github.com/facebook/jest/issues"
-  },
-  "dependencies": {
-    "merge-stream": "^2.0.0",
-    "supports-color": "^7.0.0"
-  },
-  "description": "Module for executing heavy tasks under forked processes in parallel, by providing a `Promise` based interface, minimum overhead, and bound workers.",
-  "devDependencies": {
-    "@types/merge-stream": "^1.1.2",
-    "@types/node": "*",
-    "@types/supports-color": "^5.3.0",
-    "get-stream": "^5.1.0",
-    "worker-farm": "^1.6.0"
-  },
-  "engines": {
-    "node": ">= 8.3"
-  },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
-  "homepage": "https://github.com/facebook/jest#readme",
-  "license": "MIT",
-  "main": "build/index.js",
-  "name": "jest-worker",
-  "publishConfig": {
-    "access": "public"
-  },
-  "repository": {
-    "type": "git",
-    "url": "git+https://github.com/facebook/jest.git",
-    "directory": "packages/jest-worker"
-  },
-  "types": "build/index.d.ts",
-  "typesVersions": {
-    "<3.8": {
-      "build/*": [
-        "build/ts3.4/*"
-      ]
-    }
-  },
-  "version": "25.4.0"
-}
diff --git a/node_modules/@jest/reporters/node_modules/supports-color/package.json b/node_modules/@jest/reporters/node_modules/supports-color/package.json
index a94af5c81..6143e6b24 100644
--- a/node_modules/@jest/reporters/node_modules/supports-color/package.json
+++ b/node_modules/@jest/reporters/node_modules/supports-color/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "supports-color@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/reporters/package.json b/node_modules/@jest/reporters/package.json
index 5fde19cea..93ab4681d 100644
--- a/node_modules/@jest/reporters/package.json
+++ b/node_modules/@jest/reporters/package.json
@@ -1,62 +1,62 @@
 {
   "_args": [
     [
-      "@jest/reporters@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/reporters@25.5.1",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/reporters@25.4.0",
-  "_id": "@jest/reporters@25.4.0",
+  "_from": "@jest/reporters@25.5.1",
+  "_id": "@jest/reporters@25.5.1",
   "_inBundle": false,
-  "_integrity": "sha512-bhx/buYbZgLZm4JWLcRJ/q9Gvmd3oUh7k2V7gA4ZYBx6J28pIuykIouclRdiAC6eGVX1uRZT+GK4CQJLd/PwPg==",
+  "_integrity": "sha512-3jbd8pPDTuhYJ7vqiHXbSwTJQNavczPs+f1kRprRDxETeE3u6srJ+f0NPuwvOmk+lmunZzPkYWIFZDLHQPkviw==",
   "_location": "/@jest/reporters",
   "_phantomChildren": {
     "@types/color-name": "1.1.1",
     "@types/istanbul-lib-coverage": "2.0.1",
     "@types/istanbul-reports": "1.1.1",
-    "@types/yargs": "15.0.4",
-    "merge-stream": "2.0.0"
+    "@types/yargs": "15.0.4"
   },
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/reporters@25.4.0",
+    "raw": "@jest/reporters@25.5.1",
     "name": "@jest/reporters",
     "escapedName": "@jest%2freporters",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.1",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.1"
   },
   "_requiredBy": [
     "/@jest/core"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/reporters/-/reporters-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/reporters/-/reporters-25.5.1.tgz",
+  "_spec": "25.5.1",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
     "@bcoe/v8-coverage": "^0.2.3",
-    "@jest/console": "^25.4.0",
-    "@jest/test-result": "^25.4.0",
-    "@jest/transform": "^25.4.0",
-    "@jest/types": "^25.4.0",
+    "@jest/console": "^25.5.0",
+    "@jest/test-result": "^25.5.0",
+    "@jest/transform": "^25.5.1",
+    "@jest/types": "^25.5.0",
     "chalk": "^3.0.0",
     "collect-v8-coverage": "^1.0.0",
     "exit": "^0.1.2",
     "glob": "^7.1.2",
+    "graceful-fs": "^4.2.4",
     "istanbul-lib-coverage": "^3.0.0",
     "istanbul-lib-instrument": "^4.0.0",
     "istanbul-lib-report": "^3.0.0",
     "istanbul-lib-source-maps": "^4.0.0",
     "istanbul-reports": "^3.0.2",
-    "jest-haste-map": "^25.4.0",
-    "jest-resolve": "^25.4.0",
-    "jest-util": "^25.4.0",
-    "jest-worker": "^25.4.0",
+    "jest-haste-map": "^25.5.1",
+    "jest-resolve": "^25.5.1",
+    "jest-util": "^25.5.0",
+    "jest-worker": "^25.5.0",
     "node-notifier": "^6.0.0",
     "slash": "^3.0.0",
     "source-map": "^0.6.0",
@@ -68,6 +68,7 @@
   "devDependencies": {
     "@types/exit": "^0.1.30",
     "@types/glob": "^7.1.1",
+    "@types/graceful-fs": "^4.1.3",
     "@types/istanbul-lib-coverage": "^2.0.0",
     "@types/istanbul-lib-instrument": "^1.7.2",
     "@types/istanbul-lib-report": "^3.0.0",
@@ -80,7 +81,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "c5f2fd756331895b8177a19304feb49657687e22",
   "homepage": "https://jestjs.io/",
   "license": "MIT",
   "main": "build/index.js",
@@ -104,5 +105,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.1"
 }
diff --git a/node_modules/@jest/source-map/build/getCallsite.d.ts b/node_modules/@jest/source-map/build/getCallsite.d.ts
index e3c27472c..824dd16b4 100644
--- a/node_modules/@jest/source-map/build/getCallsite.d.ts
+++ b/node_modules/@jest/source-map/build/getCallsite.d.ts
@@ -7,4 +7,3 @@
 import callsites = require('callsites');
 declare const _default: (level: number, sourceMaps?: Record<string, string> | null | undefined) => callsites.CallSite;
 export default _default;
-//# sourceMappingURL=getCallsite.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/source-map/build/getCallsite.d.ts.map b/node_modules/@jest/source-map/build/getCallsite.d.ts.map
deleted file mode 100644
index 4ced87ca5..000000000
--- a/node_modules/@jest/source-map/build/getCallsite.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"getCallsite.d.ts","sourceRoot":"","sources":["../src/getCallsite.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;AAGH,OAAO,SAAS,GAAG,QAAQ,WAAW,CAAC,CAAC;;AAwCxC,wBAmBE"}
\ No newline at end of file
diff --git a/node_modules/@jest/source-map/build/index.d.ts b/node_modules/@jest/source-map/build/index.d.ts
index d00658c94..a6ffae945 100644
--- a/node_modules/@jest/source-map/build/index.d.ts
+++ b/node_modules/@jest/source-map/build/index.d.ts
@@ -6,4 +6,3 @@
  */
 export { default as getCallsite } from './getCallsite';
 export type { SourceMapRegistry } from './types';
-//# sourceMappingURL=index.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/source-map/build/index.d.ts.map b/node_modules/@jest/source-map/build/index.d.ts.map
deleted file mode 100644
index e76d4b280..000000000
--- a/node_modules/@jest/source-map/build/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;AAEH,OAAO,EAAC,OAAO,IAAI,WAAW,EAAC,MAAM,eAAe,CAAC;AACrD,YAAY,EAAC,iBAAiB,EAAC,MAAM,SAAS,CAAC"}
\ No newline at end of file
diff --git a/node_modules/@jest/source-map/build/ts3.4/getCallsite.d.ts b/node_modules/@jest/source-map/build/ts3.4/getCallsite.d.ts
index 6a18db5d0..4a2014eac 100644
--- a/node_modules/@jest/source-map/build/ts3.4/getCallsite.d.ts
+++ b/node_modules/@jest/source-map/build/ts3.4/getCallsite.d.ts
@@ -7,4 +7,3 @@
 import callsites = require('callsites');
 declare const _default: (level: number, sourceMaps?: Record<string, string> | null | undefined) => callsites.CallSite;
 export default _default;
-//# sourceMappingURL=getCallsite.d.ts.map
diff --git a/node_modules/@jest/source-map/build/ts3.4/index.d.ts b/node_modules/@jest/source-map/build/ts3.4/index.d.ts
index f1944b458..8c1564927 100644
--- a/node_modules/@jest/source-map/build/ts3.4/index.d.ts
+++ b/node_modules/@jest/source-map/build/ts3.4/index.d.ts
@@ -6,4 +6,3 @@
  */
 export { default as getCallsite } from './getCallsite';
 export { SourceMapRegistry } from './types';
-//# sourceMappingURL=index.d.ts.map
diff --git a/node_modules/@jest/source-map/build/ts3.4/types.d.ts b/node_modules/@jest/source-map/build/ts3.4/types.d.ts
index 046f260c7..3c91157b4 100644
--- a/node_modules/@jest/source-map/build/ts3.4/types.d.ts
+++ b/node_modules/@jest/source-map/build/ts3.4/types.d.ts
@@ -5,4 +5,3 @@
  * LICENSE file in the root directory of this source tree.
  */
 export declare type SourceMapRegistry = Record<string, string>;
-//# sourceMappingURL=types.d.ts.map
diff --git a/node_modules/@jest/source-map/build/types.d.ts b/node_modules/@jest/source-map/build/types.d.ts
index 76330d755..3085f8e5c 100644
--- a/node_modules/@jest/source-map/build/types.d.ts
+++ b/node_modules/@jest/source-map/build/types.d.ts
@@ -5,4 +5,3 @@
  * LICENSE file in the root directory of this source tree.
  */
 export declare type SourceMapRegistry = Record<string, string>;
-//# sourceMappingURL=types.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/source-map/build/types.d.ts.map b/node_modules/@jest/source-map/build/types.d.ts.map
deleted file mode 100644
index f5c35e89c..000000000
--- a/node_modules/@jest/source-map/build/types.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"types.d.ts","sourceRoot":"","sources":["../src/types.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;AAEH,oBAAY,iBAAiB,GAAG,MAAM,CAAC,MAAM,EAAE,MAAM,CAAC,CAAC"}
\ No newline at end of file
diff --git a/node_modules/@jest/source-map/node_modules/graceful-fs/LICENSE b/node_modules/@jest/source-map/node_modules/graceful-fs/LICENSE
new file mode 100644
index 000000000..9d2c80369
--- /dev/null
+++ b/node_modules/@jest/source-map/node_modules/graceful-fs/LICENSE
@@ -0,0 +1,15 @@
+The ISC License
+
+Copyright (c) Isaac Z. Schlueter, Ben Noordhuis, and Contributors
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted, provided that the above
+copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
+WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
+MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
+ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
+IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
diff --git a/node_modules/@jest/source-map/node_modules/graceful-fs/README.md b/node_modules/@jest/source-map/node_modules/graceful-fs/README.md
new file mode 100644
index 000000000..5273a50ad
--- /dev/null
+++ b/node_modules/@jest/source-map/node_modules/graceful-fs/README.md
@@ -0,0 +1,133 @@
+# graceful-fs
+
+graceful-fs functions as a drop-in replacement for the fs module,
+making various improvements.
+
+The improvements are meant to normalize behavior across different
+platforms and environments, and to make filesystem access more
+resilient to errors.
+
+## Improvements over [fs module](https://nodejs.org/api/fs.html)
+
+* Queues up `open` and `readdir` calls, and retries them once
+  something closes if there is an EMFILE error from too many file
+  descriptors.
+* fixes `lchmod` for Node versions prior to 0.6.2.
+* implements `fs.lutimes` if possible. Otherwise it becomes a noop.
+* ignores `EINVAL` and `EPERM` errors in `chown`, `fchown` or
+  `lchown` if the user isn't root.
+* makes `lchmod` and `lchown` become noops, if not available.
+* retries reading a file if `read` results in EAGAIN error.
+
+On Windows, it retries renaming a file for up to one second if `EACCESS`
+or `EPERM` error occurs, likely because antivirus software has locked
+the directory.
+
+## USAGE
+
+```javascript
+// use just like fs
+var fs = require('graceful-fs')
+
+// now go and do stuff with it...
+fs.readFileSync('some-file-or-whatever')
+```
+
+## Global Patching
+
+If you want to patch the global fs module (or any other fs-like
+module) you can do this:
+
+```javascript
+// Make sure to read the caveat below.
+var realFs = require('fs')
+var gracefulFs = require('graceful-fs')
+gracefulFs.gracefulify(realFs)
+```
+
+This should only ever be done at the top-level application layer, in
+order to delay on EMFILE errors from any fs-using dependencies.  You
+should **not** do this in a library, because it can cause unexpected
+delays in other parts of the program.
+
+## Changes
+
+This module is fairly stable at this point, and used by a lot of
+things.  That being said, because it implements a subtle behavior
+change in a core part of the node API, even modest changes can be
+extremely breaking, and the versioning is thus biased towards
+bumping the major when in doubt.
+
+The main change between major versions has been switching between
+providing a fully-patched `fs` module vs monkey-patching the node core
+builtin, and the approach by which a non-monkey-patched `fs` was
+created.
+
+The goal is to trade `EMFILE` errors for slower fs operations.  So, if
+you try to open a zillion files, rather than crashing, `open`
+operations will be queued up and wait for something else to `close`.
+
+There are advantages to each approach.  Monkey-patching the fs means
+that no `EMFILE` errors can possibly occur anywhere in your
+application, because everything is using the same core `fs` module,
+which is patched.  However, it can also obviously cause undesirable
+side-effects, especially if the module is loaded multiple times.
+
+Implementing a separate-but-identical patched `fs` module is more
+surgical (and doesn't run the risk of patching multiple times), but
+also imposes the challenge of keeping in sync with the core module.
+
+The current approach loads the `fs` module, and then creates a
+lookalike object that has all the same methods, except a few that are
+patched.  It is safe to use in all versions of Node from 0.8 through
+7.0.
+
+### v4
+
+* Do not monkey-patch the fs module.  This module may now be used as a
+  drop-in dep, and users can opt into monkey-patching the fs builtin
+  if their app requires it.
+
+### v3
+
+* Monkey-patch fs, because the eval approach no longer works on recent
+  node.
+* fixed possible type-error throw if rename fails on windows
+* verify that we *never* get EMFILE errors
+* Ignore ENOSYS from chmod/chown
+* clarify that graceful-fs must be used as a drop-in
+
+### v2.1.0
+
+* Use eval rather than monkey-patching fs.
+* readdir: Always sort the results
+* win32: requeue a file if error has an OK status
+
+### v2.0
+
+* A return to monkey patching
+* wrap process.cwd
+
+### v1.1
+
+* wrap readFile
+* Wrap fs.writeFile.
+* readdir protection
+* Don't clobber the fs builtin
+* Handle fs.read EAGAIN errors by trying again
+* Expose the curOpen counter
+* No-op lchown/lchmod if not implemented
+* fs.rename patch only for win32
+* Patch fs.rename to handle AV software on Windows
+* Close #4 Chown should not fail on einval or eperm if non-root
+* Fix isaacs/fstream#1 Only wrap fs one time
+* Fix #3 Start at 1024 max files, then back off on EMFILE
+* lutimes that doens't blow up on Linux
+* A full on-rewrite using a queue instead of just swallowing the EMFILE error
+* Wrap Read/Write streams as well
+
+### 1.0
+
+* Update engines for node 0.6
+* Be lstat-graceful on Windows
+* first
diff --git a/node_modules/@jest/source-map/node_modules/graceful-fs/clone.js b/node_modules/@jest/source-map/node_modules/graceful-fs/clone.js
new file mode 100644
index 000000000..028356c96
--- /dev/null
+++ b/node_modules/@jest/source-map/node_modules/graceful-fs/clone.js
@@ -0,0 +1,19 @@
+'use strict'
+
+module.exports = clone
+
+function clone (obj) {
+  if (obj === null || typeof obj !== 'object')
+    return obj
+
+  if (obj instanceof Object)
+    var copy = { __proto__: obj.__proto__ }
+  else
+    var copy = Object.create(null)
+
+  Object.getOwnPropertyNames(obj).forEach(function (key) {
+    Object.defineProperty(copy, key, Object.getOwnPropertyDescriptor(obj, key))
+  })
+
+  return copy
+}
diff --git a/node_modules/@jest/source-map/node_modules/graceful-fs/graceful-fs.js b/node_modules/@jest/source-map/node_modules/graceful-fs/graceful-fs.js
new file mode 100644
index 000000000..de3df47fd
--- /dev/null
+++ b/node_modules/@jest/source-map/node_modules/graceful-fs/graceful-fs.js
@@ -0,0 +1,354 @@
+var fs = require('fs')
+var polyfills = require('./polyfills.js')
+var legacy = require('./legacy-streams.js')
+var clone = require('./clone.js')
+
+var util = require('util')
+
+/* istanbul ignore next - node 0.x polyfill */
+var gracefulQueue
+var previousSymbol
+
+/* istanbul ignore else - node 0.x polyfill */
+if (typeof Symbol === 'function' && typeof Symbol.for === 'function') {
+  gracefulQueue = Symbol.for('graceful-fs.queue')
+  // This is used in testing by future versions
+  previousSymbol = Symbol.for('graceful-fs.previous')
+} else {
+  gracefulQueue = '___graceful-fs.queue'
+  previousSymbol = '___graceful-fs.previous'
+}
+
+function noop () {}
+
+function publishQueue(context, queue) {
+  Object.defineProperty(context, gracefulQueue, {
+    get: function() {
+      return queue
+    }
+  })
+}
+
+var debug = noop
+if (util.debuglog)
+  debug = util.debuglog('gfs4')
+else if (/\bgfs4\b/i.test(process.env.NODE_DEBUG || ''))
+  debug = function() {
+    var m = util.format.apply(util, arguments)
+    m = 'GFS4: ' + m.split(/\n/).join('\nGFS4: ')
+    console.error(m)
+  }
+
+// Once time initialization
+if (!fs[gracefulQueue]) {
+  // This queue can be shared by multiple loaded instances
+  var queue = global[gracefulQueue] || []
+  publishQueue(fs, queue)
+
+  // Patch fs.close/closeSync to shared queue version, because we need
+  // to retry() whenever a close happens *anywhere* in the program.
+  // This is essential when multiple graceful-fs instances are
+  // in play at the same time.
+  fs.close = (function (fs$close) {
+    function close (fd, cb) {
+      return fs$close.call(fs, fd, function (err) {
+        // This function uses the graceful-fs shared queue
+        if (!err) {
+          retry()
+        }
+
+        if (typeof cb === 'function')
+          cb.apply(this, arguments)
+      })
+    }
+
+    Object.defineProperty(close, previousSymbol, {
+      value: fs$close
+    })
+    return close
+  })(fs.close)
+
+  fs.closeSync = (function (fs$closeSync) {
+    function closeSync (fd) {
+      // This function uses the graceful-fs shared queue
+      fs$closeSync.apply(fs, arguments)
+      retry()
+    }
+
+    Object.defineProperty(closeSync, previousSymbol, {
+      value: fs$closeSync
+    })
+    return closeSync
+  })(fs.closeSync)
+
+  if (/\bgfs4\b/i.test(process.env.NODE_DEBUG || '')) {
+    process.on('exit', function() {
+      debug(fs[gracefulQueue])
+      require('assert').equal(fs[gracefulQueue].length, 0)
+    })
+  }
+}
+
+if (!global[gracefulQueue]) {
+  publishQueue(global, fs[gracefulQueue]);
+}
+
+module.exports = patch(clone(fs))
+if (process.env.TEST_GRACEFUL_FS_GLOBAL_PATCH && !fs.__patched) {
+    module.exports = patch(fs)
+    fs.__patched = true;
+}
+
+function patch (fs) {
+  // Everything that references the open() function needs to be in here
+  polyfills(fs)
+  fs.gracefulify = patch
+
+  fs.createReadStream = createReadStream
+  fs.createWriteStream = createWriteStream
+  var fs$readFile = fs.readFile
+  fs.readFile = readFile
+  function readFile (path, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$readFile(path, options, cb)
+
+    function go$readFile (path, options, cb) {
+      return fs$readFile(path, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$readFile, [path, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$writeFile = fs.writeFile
+  fs.writeFile = writeFile
+  function writeFile (path, data, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$writeFile(path, data, options, cb)
+
+    function go$writeFile (path, data, options, cb) {
+      return fs$writeFile(path, data, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$writeFile, [path, data, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$appendFile = fs.appendFile
+  if (fs$appendFile)
+    fs.appendFile = appendFile
+  function appendFile (path, data, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$appendFile(path, data, options, cb)
+
+    function go$appendFile (path, data, options, cb) {
+      return fs$appendFile(path, data, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$appendFile, [path, data, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$readdir = fs.readdir
+  fs.readdir = readdir
+  function readdir (path, options, cb) {
+    var args = [path]
+    if (typeof options !== 'function') {
+      args.push(options)
+    } else {
+      cb = options
+    }
+    args.push(go$readdir$cb)
+
+    return go$readdir(args)
+
+    function go$readdir$cb (err, files) {
+      if (files && files.sort)
+        files.sort()
+
+      if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+        enqueue([go$readdir, [args]])
+
+      else {
+        if (typeof cb === 'function')
+          cb.apply(this, arguments)
+        retry()
+      }
+    }
+  }
+
+  function go$readdir (args) {
+    return fs$readdir.apply(fs, args)
+  }
+
+  if (process.version.substr(0, 4) === 'v0.8') {
+    var legStreams = legacy(fs)
+    ReadStream = legStreams.ReadStream
+    WriteStream = legStreams.WriteStream
+  }
+
+  var fs$ReadStream = fs.ReadStream
+  if (fs$ReadStream) {
+    ReadStream.prototype = Object.create(fs$ReadStream.prototype)
+    ReadStream.prototype.open = ReadStream$open
+  }
+
+  var fs$WriteStream = fs.WriteStream
+  if (fs$WriteStream) {
+    WriteStream.prototype = Object.create(fs$WriteStream.prototype)
+    WriteStream.prototype.open = WriteStream$open
+  }
+
+  Object.defineProperty(fs, 'ReadStream', {
+    get: function () {
+      return ReadStream
+    },
+    set: function (val) {
+      ReadStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+  Object.defineProperty(fs, 'WriteStream', {
+    get: function () {
+      return WriteStream
+    },
+    set: function (val) {
+      WriteStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+
+  // legacy names
+  var FileReadStream = ReadStream
+  Object.defineProperty(fs, 'FileReadStream', {
+    get: function () {
+      return FileReadStream
+    },
+    set: function (val) {
+      FileReadStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+  var FileWriteStream = WriteStream
+  Object.defineProperty(fs, 'FileWriteStream', {
+    get: function () {
+      return FileWriteStream
+    },
+    set: function (val) {
+      FileWriteStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+
+  function ReadStream (path, options) {
+    if (this instanceof ReadStream)
+      return fs$ReadStream.apply(this, arguments), this
+    else
+      return ReadStream.apply(Object.create(ReadStream.prototype), arguments)
+  }
+
+  function ReadStream$open () {
+    var that = this
+    open(that.path, that.flags, that.mode, function (err, fd) {
+      if (err) {
+        if (that.autoClose)
+          that.destroy()
+
+        that.emit('error', err)
+      } else {
+        that.fd = fd
+        that.emit('open', fd)
+        that.read()
+      }
+    })
+  }
+
+  function WriteStream (path, options) {
+    if (this instanceof WriteStream)
+      return fs$WriteStream.apply(this, arguments), this
+    else
+      return WriteStream.apply(Object.create(WriteStream.prototype), arguments)
+  }
+
+  function WriteStream$open () {
+    var that = this
+    open(that.path, that.flags, that.mode, function (err, fd) {
+      if (err) {
+        that.destroy()
+        that.emit('error', err)
+      } else {
+        that.fd = fd
+        that.emit('open', fd)
+      }
+    })
+  }
+
+  function createReadStream (path, options) {
+    return new fs.ReadStream(path, options)
+  }
+
+  function createWriteStream (path, options) {
+    return new fs.WriteStream(path, options)
+  }
+
+  var fs$open = fs.open
+  fs.open = open
+  function open (path, flags, mode, cb) {
+    if (typeof mode === 'function')
+      cb = mode, mode = null
+
+    return go$open(path, flags, mode, cb)
+
+    function go$open (path, flags, mode, cb) {
+      return fs$open(path, flags, mode, function (err, fd) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$open, [path, flags, mode, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  return fs
+}
+
+function enqueue (elem) {
+  debug('ENQUEUE', elem[0].name, elem[1])
+  fs[gracefulQueue].push(elem)
+}
+
+function retry () {
+  var elem = fs[gracefulQueue].shift()
+  if (elem) {
+    debug('RETRY', elem[0].name, elem[1])
+    elem[0].apply(null, elem[1])
+  }
+}
diff --git a/node_modules/@jest/source-map/node_modules/graceful-fs/legacy-streams.js b/node_modules/@jest/source-map/node_modules/graceful-fs/legacy-streams.js
new file mode 100644
index 000000000..d617b50fc
--- /dev/null
+++ b/node_modules/@jest/source-map/node_modules/graceful-fs/legacy-streams.js
@@ -0,0 +1,118 @@
+var Stream = require('stream').Stream
+
+module.exports = legacy
+
+function legacy (fs) {
+  return {
+    ReadStream: ReadStream,
+    WriteStream: WriteStream
+  }
+
+  function ReadStream (path, options) {
+    if (!(this instanceof ReadStream)) return new ReadStream(path, options);
+
+    Stream.call(this);
+
+    var self = this;
+
+    this.path = path;
+    this.fd = null;
+    this.readable = true;
+    this.paused = false;
+
+    this.flags = 'r';
+    this.mode = 438; /*=0666*/
+    this.bufferSize = 64 * 1024;
+
+    options = options || {};
+
+    // Mixin options into this
+    var keys = Object.keys(options);
+    for (var index = 0, length = keys.length; index < length; index++) {
+      var key = keys[index];
+      this[key] = options[key];
+    }
+
+    if (this.encoding) this.setEncoding(this.encoding);
+
+    if (this.start !== undefined) {
+      if ('number' !== typeof this.start) {
+        throw TypeError('start must be a Number');
+      }
+      if (this.end === undefined) {
+        this.end = Infinity;
+      } else if ('number' !== typeof this.end) {
+        throw TypeError('end must be a Number');
+      }
+
+      if (this.start > this.end) {
+        throw new Error('start must be <= end');
+      }
+
+      this.pos = this.start;
+    }
+
+    if (this.fd !== null) {
+      process.nextTick(function() {
+        self._read();
+      });
+      return;
+    }
+
+    fs.open(this.path, this.flags, this.mode, function (err, fd) {
+      if (err) {
+        self.emit('error', err);
+        self.readable = false;
+        return;
+      }
+
+      self.fd = fd;
+      self.emit('open', fd);
+      self._read();
+    })
+  }
+
+  function WriteStream (path, options) {
+    if (!(this instanceof WriteStream)) return new WriteStream(path, options);
+
+    Stream.call(this);
+
+    this.path = path;
+    this.fd = null;
+    this.writable = true;
+
+    this.flags = 'w';
+    this.encoding = 'binary';
+    this.mode = 438; /*=0666*/
+    this.bytesWritten = 0;
+
+    options = options || {};
+
+    // Mixin options into this
+    var keys = Object.keys(options);
+    for (var index = 0, length = keys.length; index < length; index++) {
+      var key = keys[index];
+      this[key] = options[key];
+    }
+
+    if (this.start !== undefined) {
+      if ('number' !== typeof this.start) {
+        throw TypeError('start must be a Number');
+      }
+      if (this.start < 0) {
+        throw new Error('start must be >= zero');
+      }
+
+      this.pos = this.start;
+    }
+
+    this.busy = false;
+    this._queue = [];
+
+    if (this.fd === null) {
+      this._open = fs.open;
+      this._queue.push([this._open, this.path, this.flags, this.mode, undefined]);
+      this.flush();
+    }
+  }
+}
diff --git a/node_modules/@jest/source-map/node_modules/graceful-fs/package.json b/node_modules/@jest/source-map/node_modules/graceful-fs/package.json
new file mode 100644
index 000000000..33de18a96
--- /dev/null
+++ b/node_modules/@jest/source-map/node_modules/graceful-fs/package.json
@@ -0,0 +1,83 @@
+{
+  "_args": [
+    [
+      "graceful-fs@4.2.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "graceful-fs@4.2.4",
+  "_id": "graceful-fs@4.2.4",
+  "_inBundle": false,
+  "_integrity": "sha512-WjKPNJF79dtJAVniUlGGWHYGz2jWxT6VhN/4m1NdkbZ2nOsEF+cI1Edgql5zCRhs/VsQYRvrXctxktVXZUkixw==",
+  "_location": "/@jest/source-map/graceful-fs",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "graceful-fs@4.2.4",
+    "name": "graceful-fs",
+    "escapedName": "graceful-fs",
+    "rawSpec": "4.2.4",
+    "saveSpec": null,
+    "fetchSpec": "4.2.4"
+  },
+  "_requiredBy": [
+    "/@jest/source-map"
+  ],
+  "_resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.4.tgz",
+  "_spec": "4.2.4",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/isaacs/node-graceful-fs/issues"
+  },
+  "dependencies": {},
+  "description": "A drop-in replacement for fs, making various improvements.",
+  "devDependencies": {
+    "import-fresh": "^2.0.0",
+    "mkdirp": "^0.5.0",
+    "rimraf": "^2.2.8",
+    "tap": "^12.7.0"
+  },
+  "directories": {
+    "test": "test"
+  },
+  "files": [
+    "fs.js",
+    "graceful-fs.js",
+    "legacy-streams.js",
+    "polyfills.js",
+    "clone.js"
+  ],
+  "homepage": "https://github.com/isaacs/node-graceful-fs#readme",
+  "keywords": [
+    "fs",
+    "module",
+    "reading",
+    "retry",
+    "retries",
+    "queue",
+    "error",
+    "errors",
+    "handling",
+    "EMFILE",
+    "EAGAIN",
+    "EINVAL",
+    "EPERM",
+    "EACCESS"
+  ],
+  "license": "ISC",
+  "main": "graceful-fs.js",
+  "name": "graceful-fs",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/isaacs/node-graceful-fs.git"
+  },
+  "scripts": {
+    "postpublish": "git push origin --follow-tags",
+    "postversion": "npm publish",
+    "preversion": "npm test",
+    "test": "node test.js | tap -"
+  },
+  "version": "4.2.4"
+}
diff --git a/node_modules/@jest/source-map/node_modules/graceful-fs/polyfills.js b/node_modules/@jest/source-map/node_modules/graceful-fs/polyfills.js
new file mode 100644
index 000000000..a5808d23f
--- /dev/null
+++ b/node_modules/@jest/source-map/node_modules/graceful-fs/polyfills.js
@@ -0,0 +1,342 @@
+var constants = require('constants')
+
+var origCwd = process.cwd
+var cwd = null
+
+var platform = process.env.GRACEFUL_FS_PLATFORM || process.platform
+
+process.cwd = function() {
+  if (!cwd)
+    cwd = origCwd.call(process)
+  return cwd
+}
+try {
+  process.cwd()
+} catch (er) {}
+
+var chdir = process.chdir
+process.chdir = function(d) {
+  cwd = null
+  chdir.call(process, d)
+}
+
+module.exports = patch
+
+function patch (fs) {
+  // (re-)implement some things that are known busted or missing.
+
+  // lchmod, broken prior to 0.6.2
+  // back-port the fix here.
+  if (constants.hasOwnProperty('O_SYMLINK') &&
+      process.version.match(/^v0\.6\.[0-2]|^v0\.5\./)) {
+    patchLchmod(fs)
+  }
+
+  // lutimes implementation, or no-op
+  if (!fs.lutimes) {
+    patchLutimes(fs)
+  }
+
+  // https://github.com/isaacs/node-graceful-fs/issues/4
+  // Chown should not fail on einval or eperm if non-root.
+  // It should not fail on enosys ever, as this just indicates
+  // that a fs doesn't support the intended operation.
+
+  fs.chown = chownFix(fs.chown)
+  fs.fchown = chownFix(fs.fchown)
+  fs.lchown = chownFix(fs.lchown)
+
+  fs.chmod = chmodFix(fs.chmod)
+  fs.fchmod = chmodFix(fs.fchmod)
+  fs.lchmod = chmodFix(fs.lchmod)
+
+  fs.chownSync = chownFixSync(fs.chownSync)
+  fs.fchownSync = chownFixSync(fs.fchownSync)
+  fs.lchownSync = chownFixSync(fs.lchownSync)
+
+  fs.chmodSync = chmodFixSync(fs.chmodSync)
+  fs.fchmodSync = chmodFixSync(fs.fchmodSync)
+  fs.lchmodSync = chmodFixSync(fs.lchmodSync)
+
+  fs.stat = statFix(fs.stat)
+  fs.fstat = statFix(fs.fstat)
+  fs.lstat = statFix(fs.lstat)
+
+  fs.statSync = statFixSync(fs.statSync)
+  fs.fstatSync = statFixSync(fs.fstatSync)
+  fs.lstatSync = statFixSync(fs.lstatSync)
+
+  // if lchmod/lchown do not exist, then make them no-ops
+  if (!fs.lchmod) {
+    fs.lchmod = function (path, mode, cb) {
+      if (cb) process.nextTick(cb)
+    }
+    fs.lchmodSync = function () {}
+  }
+  if (!fs.lchown) {
+    fs.lchown = function (path, uid, gid, cb) {
+      if (cb) process.nextTick(cb)
+    }
+    fs.lchownSync = function () {}
+  }
+
+  // on Windows, A/V software can lock the directory, causing this
+  // to fail with an EACCES or EPERM if the directory contains newly
+  // created files.  Try again on failure, for up to 60 seconds.
+
+  // Set the timeout this long because some Windows Anti-Virus, such as Parity
+  // bit9, may lock files for up to a minute, causing npm package install
+  // failures. Also, take care to yield the scheduler. Windows scheduling gives
+  // CPU to a busy looping process, which can cause the program causing the lock
+  // contention to be starved of CPU by node, so the contention doesn't resolve.
+  if (platform === "win32") {
+    fs.rename = (function (fs$rename) { return function (from, to, cb) {
+      var start = Date.now()
+      var backoff = 0;
+      fs$rename(from, to, function CB (er) {
+        if (er
+            && (er.code === "EACCES" || er.code === "EPERM")
+            && Date.now() - start < 60000) {
+          setTimeout(function() {
+            fs.stat(to, function (stater, st) {
+              if (stater && stater.code === "ENOENT")
+                fs$rename(from, to, CB);
+              else
+                cb(er)
+            })
+          }, backoff)
+          if (backoff < 100)
+            backoff += 10;
+          return;
+        }
+        if (cb) cb(er)
+      })
+    }})(fs.rename)
+  }
+
+  // if read() returns EAGAIN, then just try it again.
+  fs.read = (function (fs$read) {
+    function read (fd, buffer, offset, length, position, callback_) {
+      var callback
+      if (callback_ && typeof callback_ === 'function') {
+        var eagCounter = 0
+        callback = function (er, _, __) {
+          if (er && er.code === 'EAGAIN' && eagCounter < 10) {
+            eagCounter ++
+            return fs$read.call(fs, fd, buffer, offset, length, position, callback)
+          }
+          callback_.apply(this, arguments)
+        }
+      }
+      return fs$read.call(fs, fd, buffer, offset, length, position, callback)
+    }
+
+    // This ensures `util.promisify` works as it does for native `fs.read`.
+    read.__proto__ = fs$read
+    return read
+  })(fs.read)
+
+  fs.readSync = (function (fs$readSync) { return function (fd, buffer, offset, length, position) {
+    var eagCounter = 0
+    while (true) {
+      try {
+        return fs$readSync.call(fs, fd, buffer, offset, length, position)
+      } catch (er) {
+        if (er.code === 'EAGAIN' && eagCounter < 10) {
+          eagCounter ++
+          continue
+        }
+        throw er
+      }
+    }
+  }})(fs.readSync)
+
+  function patchLchmod (fs) {
+    fs.lchmod = function (path, mode, callback) {
+      fs.open( path
+             , constants.O_WRONLY | constants.O_SYMLINK
+             , mode
+             , function (err, fd) {
+        if (err) {
+          if (callback) callback(err)
+          return
+        }
+        // prefer to return the chmod error, if one occurs,
+        // but still try to close, and report closing errors if they occur.
+        fs.fchmod(fd, mode, function (err) {
+          fs.close(fd, function(err2) {
+            if (callback) callback(err || err2)
+          })
+        })
+      })
+    }
+
+    fs.lchmodSync = function (path, mode) {
+      var fd = fs.openSync(path, constants.O_WRONLY | constants.O_SYMLINK, mode)
+
+      // prefer to return the chmod error, if one occurs,
+      // but still try to close, and report closing errors if they occur.
+      var threw = true
+      var ret
+      try {
+        ret = fs.fchmodSync(fd, mode)
+        threw = false
+      } finally {
+        if (threw) {
+          try {
+            fs.closeSync(fd)
+          } catch (er) {}
+        } else {
+          fs.closeSync(fd)
+        }
+      }
+      return ret
+    }
+  }
+
+  function patchLutimes (fs) {
+    if (constants.hasOwnProperty("O_SYMLINK")) {
+      fs.lutimes = function (path, at, mt, cb) {
+        fs.open(path, constants.O_SYMLINK, function (er, fd) {
+          if (er) {
+            if (cb) cb(er)
+            return
+          }
+          fs.futimes(fd, at, mt, function (er) {
+            fs.close(fd, function (er2) {
+              if (cb) cb(er || er2)
+            })
+          })
+        })
+      }
+
+      fs.lutimesSync = function (path, at, mt) {
+        var fd = fs.openSync(path, constants.O_SYMLINK)
+        var ret
+        var threw = true
+        try {
+          ret = fs.futimesSync(fd, at, mt)
+          threw = false
+        } finally {
+          if (threw) {
+            try {
+              fs.closeSync(fd)
+            } catch (er) {}
+          } else {
+            fs.closeSync(fd)
+          }
+        }
+        return ret
+      }
+
+    } else {
+      fs.lutimes = function (_a, _b, _c, cb) { if (cb) process.nextTick(cb) }
+      fs.lutimesSync = function () {}
+    }
+  }
+
+  function chmodFix (orig) {
+    if (!orig) return orig
+    return function (target, mode, cb) {
+      return orig.call(fs, target, mode, function (er) {
+        if (chownErOk(er)) er = null
+        if (cb) cb.apply(this, arguments)
+      })
+    }
+  }
+
+  function chmodFixSync (orig) {
+    if (!orig) return orig
+    return function (target, mode) {
+      try {
+        return orig.call(fs, target, mode)
+      } catch (er) {
+        if (!chownErOk(er)) throw er
+      }
+    }
+  }
+
+
+  function chownFix (orig) {
+    if (!orig) return orig
+    return function (target, uid, gid, cb) {
+      return orig.call(fs, target, uid, gid, function (er) {
+        if (chownErOk(er)) er = null
+        if (cb) cb.apply(this, arguments)
+      })
+    }
+  }
+
+  function chownFixSync (orig) {
+    if (!orig) return orig
+    return function (target, uid, gid) {
+      try {
+        return orig.call(fs, target, uid, gid)
+      } catch (er) {
+        if (!chownErOk(er)) throw er
+      }
+    }
+  }
+
+  function statFix (orig) {
+    if (!orig) return orig
+    // Older versions of Node erroneously returned signed integers for
+    // uid + gid.
+    return function (target, options, cb) {
+      if (typeof options === 'function') {
+        cb = options
+        options = null
+      }
+      function callback (er, stats) {
+        if (stats) {
+          if (stats.uid < 0) stats.uid += 0x100000000
+          if (stats.gid < 0) stats.gid += 0x100000000
+        }
+        if (cb) cb.apply(this, arguments)
+      }
+      return options ? orig.call(fs, target, options, callback)
+        : orig.call(fs, target, callback)
+    }
+  }
+
+  function statFixSync (orig) {
+    if (!orig) return orig
+    // Older versions of Node erroneously returned signed integers for
+    // uid + gid.
+    return function (target, options) {
+      var stats = options ? orig.call(fs, target, options)
+        : orig.call(fs, target)
+      if (stats.uid < 0) stats.uid += 0x100000000
+      if (stats.gid < 0) stats.gid += 0x100000000
+      return stats;
+    }
+  }
+
+  // ENOSYS means that the fs doesn't support the op. Just ignore
+  // that, because it doesn't matter.
+  //
+  // if there's no getuid, or if getuid() is something other
+  // than 0, and the error is EINVAL or EPERM, then just ignore
+  // it.
+  //
+  // This specific case is a silent failure in cp, install, tar,
+  // and most other unix tools that manage permissions.
+  //
+  // When running as root, or if other types of errors are
+  // encountered, then it's strict.
+  function chownErOk (er) {
+    if (!er)
+      return true
+
+    if (er.code === "ENOSYS")
+      return true
+
+    var nonroot = !process.getuid || process.getuid() !== 0
+    if (nonroot) {
+      if (er.code === "EINVAL" || er.code === "EPERM")
+        return true
+    }
+
+    return false
+  }
+}
diff --git a/node_modules/@jest/source-map/package.json b/node_modules/@jest/source-map/package.json
index 110d82658..badb245cd 100644
--- a/node_modules/@jest/source-map/package.json
+++ b/node_modules/@jest/source-map/package.json
@@ -1,41 +1,43 @@
 {
   "_args": [
     [
-      "@jest/source-map@25.2.6",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/source-map@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/source-map@25.2.6",
-  "_id": "@jest/source-map@25.2.6",
+  "_from": "@jest/source-map@25.5.0",
+  "_id": "@jest/source-map@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-VuIRZF8M2zxYFGTEhkNSvQkUKafQro4y+mwUxy5ewRqs5N/ynSFUODYp3fy1zCnbCMy1pz3k+u57uCqx8QRSQQ==",
+  "_integrity": "sha512-eIGx0xN12yVpMcPaVpjXPnn3N30QGJCJQSkEDUt9x1fI1Gdvb07Ml6K5iN2hG7NmMP6FDmtPEssE3z6doOYUwQ==",
   "_location": "/@jest/source-map",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/source-map@25.2.6",
+    "raw": "@jest/source-map@25.5.0",
     "name": "@jest/source-map",
     "escapedName": "@jest%2fsource-map",
     "scope": "@jest",
-    "rawSpec": "25.2.6",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.2.6"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
-    "/jest-jasmine2",
-    "/jest-runtime"
+    "/@jest/core/jest-jasmine2",
+    "/@jest/core/jest-runtime",
+    "/jest/jest-jasmine2",
+    "/jest/jest-runtime"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/source-map/-/source-map-25.2.6.tgz",
-  "_spec": "25.2.6",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/source-map/-/source-map-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
     "callsites": "^3.0.0",
-    "graceful-fs": "^4.2.3",
+    "graceful-fs": "^4.2.4",
     "source-map": "^0.6.0"
   },
   "devDependencies": {
@@ -44,7 +46,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "43207b743df164e9e58bd483dd9167b9084da18b",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -65,5 +67,5 @@
       ]
     }
   },
-  "version": "25.2.6"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/test-result/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/test-result/node_modules/@jest/types/build/Transform.d.ts
index ea3e511cb..af8063f7d 100644
--- a/node_modules/@jest/test-result/node_modules/@jest/types/build/Transform.d.ts
+++ b/node_modules/@jest/test-result/node_modules/@jest/types/build/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/test-result/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/test-result/node_modules/@jest/types/build/ts3.4/Transform.d.ts
index bcc63baf1..231ae24ca 100644
--- a/node_modules/@jest/test-result/node_modules/@jest/types/build/ts3.4/Transform.d.ts
+++ b/node_modules/@jest/test-result/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/test-result/node_modules/@jest/types/package.json b/node_modules/@jest/test-result/node_modules/@jest/types/package.json
index 9e2819581..b3e30f691 100644
--- a/node_modules/@jest/test-result/node_modules/@jest/types/package.json
+++ b/node_modules/@jest/test-result/node_modules/@jest/types/package.json
@@ -1,34 +1,34 @@
 {
   "_args": [
     [
-      "@jest/types@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/types@25.4.0",
-  "_id": "@jest/types@25.4.0",
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-XBeaWNzw2PPnGW5aXvZt3+VO60M+34RY3XDsCK5tW7kyj3RK0XClRutCfjqcBuaR2aBQTbluEDME9b5MB9UAPw==",
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
   "_location": "/@jest/test-result/@jest/types",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/types@25.4.0",
+    "raw": "@jest/types@25.5.0",
     "name": "@jest/types",
     "escapedName": "@jest%2ftypes",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/test-result"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
@@ -44,7 +44,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -65,5 +65,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/test-result/node_modules/ansi-styles/package.json b/node_modules/@jest/test-result/node_modules/ansi-styles/package.json
index 6e79a8152..9f4ca2167 100644
--- a/node_modules/@jest/test-result/node_modules/ansi-styles/package.json
+++ b/node_modules/@jest/test-result/node_modules/ansi-styles/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ansi-styles@4.2.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
   "_spec": "4.2.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/test-result/node_modules/chalk/package.json b/node_modules/@jest/test-result/node_modules/chalk/package.json
index e07635eeb..d0fd1778c 100644
--- a/node_modules/@jest/test-result/node_modules/chalk/package.json
+++ b/node_modules/@jest/test-result/node_modules/chalk/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "chalk@3.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
   "_spec": "3.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/chalk/chalk/issues"
   },
diff --git a/node_modules/@jest/test-result/node_modules/color-convert/package.json b/node_modules/@jest/test-result/node_modules/color-convert/package.json
index cdfb32c6c..83715a533 100644
--- a/node_modules/@jest/test-result/node_modules/color-convert/package.json
+++ b/node_modules/@jest/test-result/node_modules/color-convert/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-convert@2.0.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
   "_spec": "2.0.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Heather Arthur",
     "email": "fayearthur@gmail.com"
diff --git a/node_modules/@jest/test-result/node_modules/color-name/package.json b/node_modules/@jest/test-result/node_modules/color-name/package.json
index 25f46e276..8fada785d 100644
--- a/node_modules/@jest/test-result/node_modules/color-name/package.json
+++ b/node_modules/@jest/test-result/node_modules/color-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-name@1.1.4",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
   "_spec": "1.1.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "DY",
     "email": "dfcreative@gmail.com"
diff --git a/node_modules/@jest/test-result/node_modules/has-flag/package.json b/node_modules/@jest/test-result/node_modules/has-flag/package.json
index b42810b19..6edc35519 100644
--- a/node_modules/@jest/test-result/node_modules/has-flag/package.json
+++ b/node_modules/@jest/test-result/node_modules/has-flag/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "has-flag@4.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/test-result/node_modules/supports-color/package.json b/node_modules/@jest/test-result/node_modules/supports-color/package.json
index 46ccacf5b..f9a994a87 100644
--- a/node_modules/@jest/test-result/node_modules/supports-color/package.json
+++ b/node_modules/@jest/test-result/node_modules/supports-color/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "supports-color@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/test-result/package.json b/node_modules/@jest/test-result/package.json
index 8fc0730e7..0b6a17c6b 100644
--- a/node_modules/@jest/test-result/package.json
+++ b/node_modules/@jest/test-result/package.json
@@ -1,15 +1,15 @@
 {
   "_args": [
     [
-      "@jest/test-result@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/test-result@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/test-result@25.4.0",
-  "_id": "@jest/test-result@25.4.0",
+  "_from": "@jest/test-result@25.5.0",
+  "_id": "@jest/test-result@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-8BAKPaMCHlL941eyfqhWbmp3MebtzywlxzV+qtngQ3FH+RBqnoSAhNEPj4MG7d2NVUrMOVfrwuzGpVIK+QnMAA==",
+  "_integrity": "sha512-oV+hPJgXN7IQf/fHWkcS99y0smKLU2czLBJ9WA0jHITLst58HpQMtzSYxzaBvYc6U5U6jfoMthqsUlUlbRXs0A==",
   "_location": "/@jest/test-result",
   "_phantomChildren": {
     "@types/color-name": "1.1.1",
@@ -20,41 +20,44 @@
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/test-result@25.4.0",
+    "raw": "@jest/test-result@25.5.0",
     "name": "@jest/test-result",
     "escapedName": "@jest%2ftest-result",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/core",
+    "/@jest/core/@jest/test-sequencer",
+    "/@jest/core/jest-jasmine2",
+    "/@jest/core/jest-runner",
+    "/@jest/core/jest-runtime",
     "/@jest/reporters",
-    "/@jest/test-sequencer",
-    "/jest-circus",
-    "/jest-jasmine2",
-    "/jest-runner",
-    "/jest-runtime",
     "/jest-watcher",
-    "/jest/jest-cli"
+    "/jest/@jest/test-sequencer",
+    "/jest/jest-cli",
+    "/jest/jest-jasmine2",
+    "/jest/jest-runner",
+    "/jest/jest-runtime"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/test-result/-/test-result-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/test-result/-/test-result-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
-    "@jest/console": "^25.4.0",
-    "@jest/types": "^25.4.0",
+    "@jest/console": "^25.5.0",
+    "@jest/types": "^25.5.0",
     "@types/istanbul-lib-coverage": "^2.0.0",
     "collect-v8-coverage": "^1.0.0"
   },
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -75,5 +78,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/test-sequencer/build/index.js b/node_modules/@jest/test-sequencer/build/index.js
index 53fa6e1a3..0e969dca9 100644
--- a/node_modules/@jest/test-sequencer/build/index.js
+++ b/node_modules/@jest/test-sequencer/build/index.js
@@ -6,7 +6,7 @@ Object.defineProperty(exports, '__esModule', {
 exports.default = void 0;
 
 function fs() {
-  const data = _interopRequireWildcard(require('fs'));
+  const data = _interopRequireWildcard(require('graceful-fs'));
 
   fs = function () {
     return data;
diff --git a/node_modules/@jest/test-sequencer/node_modules/.bin/node-which b/node_modules/@jest/test-sequencer/node_modules/.bin/node-which
new file mode 120000
index 000000000..6f8415ec5
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/.bin/node-which
@@ -0,0 +1 @@
+../which/bin/node-which
\ No newline at end of file
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/LICENSE b/node_modules/@jest/test-sequencer/node_modules/@jest/console/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/BufferedConsole.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/BufferedConsole.d.ts
new file mode 100644
index 000000000..c746faccd
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/BufferedConsole.d.ts
@@ -0,0 +1,33 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import { Console } from 'console';
+import type { ConsoleBuffer, LogMessage, LogType } from './types';
+export default class BufferedConsole extends Console {
+    private _buffer;
+    private _counters;
+    private _timers;
+    private _groupDepth;
+    constructor();
+    static write(buffer: ConsoleBuffer, type: LogType, message: LogMessage, level?: number | null): ConsoleBuffer;
+    private _log;
+    assert(value: unknown, message?: string | Error): void;
+    count(label?: string): void;
+    countReset(label?: string): void;
+    debug(firstArg: unknown, ...rest: Array<unknown>): void;
+    dir(firstArg: unknown, ...rest: Array<unknown>): void;
+    dirxml(firstArg: unknown, ...rest: Array<unknown>): void;
+    error(firstArg: unknown, ...rest: Array<unknown>): void;
+    group(title?: string, ...rest: Array<unknown>): void;
+    groupCollapsed(title?: string, ...rest: Array<unknown>): void;
+    groupEnd(): void;
+    info(firstArg: unknown, ...rest: Array<unknown>): void;
+    log(firstArg: unknown, ...rest: Array<unknown>): void;
+    time(label?: string): void;
+    timeEnd(label?: string): void;
+    warn(firstArg: unknown, ...rest: Array<unknown>): void;
+    getBuffer(): ConsoleBuffer | undefined;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/BufferedConsole.js b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/BufferedConsole.js
new file mode 100644
index 000000000..89e3d3420
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/BufferedConsole.js
@@ -0,0 +1,243 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _assert() {
+  const data = _interopRequireDefault(require('assert'));
+
+  _assert = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _console() {
+  const data = require('console');
+
+  _console = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _util() {
+  const data = require('util');
+
+  _util = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestUtil() {
+  const data = require('jest-util');
+
+  _jestUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+class BufferedConsole extends _console().Console {
+  constructor() {
+    const buffer = [];
+    super({
+      write: message => {
+        BufferedConsole.write(buffer, 'log', message, null);
+        return true;
+      }
+    });
+
+    _defineProperty(this, '_buffer', void 0);
+
+    _defineProperty(this, '_counters', void 0);
+
+    _defineProperty(this, '_timers', void 0);
+
+    _defineProperty(this, '_groupDepth', void 0);
+
+    this._buffer = buffer;
+    this._counters = {};
+    this._timers = {};
+    this._groupDepth = 0;
+  }
+
+  static write(buffer, type, message, level) {
+    const stackLevel = level != null ? level : 2;
+    const rawStack = new (_jestUtil().ErrorWithStack)(
+      undefined,
+      BufferedConsole.write
+    ).stack;
+    invariant(rawStack, 'always have a stack trace');
+    const origin = rawStack
+      .split('\n')
+      .slice(stackLevel)
+      .filter(Boolean)
+      .join('\n');
+    buffer.push({
+      message,
+      origin,
+      type
+    });
+    return buffer;
+  }
+
+  _log(type, message) {
+    BufferedConsole.write(
+      this._buffer,
+      type,
+      '  '.repeat(this._groupDepth) + message,
+      3
+    );
+  }
+
+  assert(value, message) {
+    try {
+      (0, _assert().default)(value, message);
+    } catch (error) {
+      this._log('assert', error.toString());
+    }
+  }
+
+  count(label = 'default') {
+    if (!this._counters[label]) {
+      this._counters[label] = 0;
+    }
+
+    this._log(
+      'count',
+      (0, _util().format)(`${label}: ${++this._counters[label]}`)
+    );
+  }
+
+  countReset(label = 'default') {
+    this._counters[label] = 0;
+  }
+
+  debug(firstArg, ...rest) {
+    this._log('debug', (0, _util().format)(firstArg, ...rest));
+  }
+
+  dir(firstArg, ...rest) {
+    this._log('dir', (0, _util().format)(firstArg, ...rest));
+  }
+
+  dirxml(firstArg, ...rest) {
+    this._log('dirxml', (0, _util().format)(firstArg, ...rest));
+  }
+
+  error(firstArg, ...rest) {
+    this._log('error', (0, _util().format)(firstArg, ...rest));
+  }
+
+  group(title, ...rest) {
+    this._groupDepth++;
+
+    if (title || rest.length > 0) {
+      this._log(
+        'group',
+        _chalk().default.bold((0, _util().format)(title, ...rest))
+      );
+    }
+  }
+
+  groupCollapsed(title, ...rest) {
+    this._groupDepth++;
+
+    if (title || rest.length > 0) {
+      this._log(
+        'groupCollapsed',
+        _chalk().default.bold((0, _util().format)(title, ...rest))
+      );
+    }
+  }
+
+  groupEnd() {
+    if (this._groupDepth > 0) {
+      this._groupDepth--;
+    }
+  }
+
+  info(firstArg, ...rest) {
+    this._log('info', (0, _util().format)(firstArg, ...rest));
+  }
+
+  log(firstArg, ...rest) {
+    this._log('log', (0, _util().format)(firstArg, ...rest));
+  }
+
+  time(label = 'default') {
+    if (this._timers[label]) {
+      return;
+    }
+
+    this._timers[label] = new Date();
+  }
+
+  timeEnd(label = 'default') {
+    const startTime = this._timers[label];
+
+    if (startTime) {
+      const endTime = new Date();
+      const time = endTime.getTime() - startTime.getTime();
+
+      this._log(
+        'time',
+        (0, _util().format)(`${label}: ${(0, _jestUtil().formatTime)(time)}`)
+      );
+
+      delete this._timers[label];
+    }
+  }
+
+  warn(firstArg, ...rest) {
+    this._log('warn', (0, _util().format)(firstArg, ...rest));
+  }
+
+  getBuffer() {
+    return this._buffer.length ? this._buffer : undefined;
+  }
+}
+
+exports.default = BufferedConsole;
+
+function invariant(condition, message) {
+  if (!condition) {
+    throw new Error(message);
+  }
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/CustomConsole.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/CustomConsole.d.ts
new file mode 100644
index 000000000..6df0c0b77
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/CustomConsole.d.ts
@@ -0,0 +1,38 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import { Console } from 'console';
+import type { LogMessage, LogType } from './types';
+declare type Formatter = (type: LogType, message: LogMessage) => string;
+export default class CustomConsole extends Console {
+    private _stdout;
+    private _stderr;
+    private _formatBuffer;
+    private _counters;
+    private _timers;
+    private _groupDepth;
+    constructor(stdout: NodeJS.WriteStream, stderr: NodeJS.WriteStream, formatBuffer?: Formatter);
+    private _log;
+    private _logError;
+    assert(value: unknown, message?: string | Error): asserts value;
+    count(label?: string): void;
+    countReset(label?: string): void;
+    debug(firstArg: unknown, ...args: Array<unknown>): void;
+    dir(firstArg: unknown, ...args: Array<unknown>): void;
+    dirxml(firstArg: unknown, ...args: Array<unknown>): void;
+    error(firstArg: unknown, ...args: Array<unknown>): void;
+    group(title?: string, ...args: Array<unknown>): void;
+    groupCollapsed(title?: string, ...args: Array<unknown>): void;
+    groupEnd(): void;
+    info(firstArg: unknown, ...args: Array<unknown>): void;
+    log(firstArg: unknown, ...args: Array<unknown>): void;
+    time(label?: string): void;
+    timeEnd(label?: string): void;
+    warn(firstArg: unknown, ...args: Array<unknown>): void;
+    getBuffer(): undefined;
+}
+export {};
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/CustomConsole.js b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/CustomConsole.js
new file mode 100644
index 000000000..990a4c907
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/CustomConsole.js
@@ -0,0 +1,222 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _assert() {
+  const data = _interopRequireDefault(require('assert'));
+
+  _assert = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _util() {
+  const data = require('util');
+
+  _util = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _console() {
+  const data = require('console');
+
+  _console = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestUtil() {
+  const data = require('jest-util');
+
+  _jestUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+class CustomConsole extends _console().Console {
+  constructor(stdout, stderr, formatBuffer = (_type, message) => message) {
+    super(stdout, stderr);
+
+    _defineProperty(this, '_stdout', void 0);
+
+    _defineProperty(this, '_stderr', void 0);
+
+    _defineProperty(this, '_formatBuffer', void 0);
+
+    _defineProperty(this, '_counters', void 0);
+
+    _defineProperty(this, '_timers', void 0);
+
+    _defineProperty(this, '_groupDepth', void 0);
+
+    this._stdout = stdout;
+    this._stderr = stderr;
+    this._formatBuffer = formatBuffer;
+    this._counters = {};
+    this._timers = {};
+    this._groupDepth = 0;
+  }
+
+  _log(type, message) {
+    (0, _jestUtil().clearLine)(this._stdout);
+    super.log(
+      this._formatBuffer(type, '  '.repeat(this._groupDepth) + message)
+    );
+  }
+
+  _logError(type, message) {
+    (0, _jestUtil().clearLine)(this._stderr);
+    super.error(
+      this._formatBuffer(type, '  '.repeat(this._groupDepth) + message)
+    );
+  }
+
+  assert(value, message) {
+    try {
+      (0, _assert().default)(value, message);
+    } catch (error) {
+      this._logError('assert', error.toString());
+    }
+  }
+
+  count(label = 'default') {
+    if (!this._counters[label]) {
+      this._counters[label] = 0;
+    }
+
+    this._log(
+      'count',
+      (0, _util().format)(`${label}: ${++this._counters[label]}`)
+    );
+  }
+
+  countReset(label = 'default') {
+    this._counters[label] = 0;
+  }
+
+  debug(firstArg, ...args) {
+    this._log('debug', (0, _util().format)(firstArg, ...args));
+  }
+
+  dir(firstArg, ...args) {
+    this._log('dir', (0, _util().format)(firstArg, ...args));
+  }
+
+  dirxml(firstArg, ...args) {
+    this._log('dirxml', (0, _util().format)(firstArg, ...args));
+  }
+
+  error(firstArg, ...args) {
+    this._logError('error', (0, _util().format)(firstArg, ...args));
+  }
+
+  group(title, ...args) {
+    this._groupDepth++;
+
+    if (title || args.length > 0) {
+      this._log(
+        'group',
+        _chalk().default.bold((0, _util().format)(title, ...args))
+      );
+    }
+  }
+
+  groupCollapsed(title, ...args) {
+    this._groupDepth++;
+
+    if (title || args.length > 0) {
+      this._log(
+        'groupCollapsed',
+        _chalk().default.bold((0, _util().format)(title, ...args))
+      );
+    }
+  }
+
+  groupEnd() {
+    if (this._groupDepth > 0) {
+      this._groupDepth--;
+    }
+  }
+
+  info(firstArg, ...args) {
+    this._log('info', (0, _util().format)(firstArg, ...args));
+  }
+
+  log(firstArg, ...args) {
+    this._log('log', (0, _util().format)(firstArg, ...args));
+  }
+
+  time(label = 'default') {
+    if (this._timers[label]) {
+      return;
+    }
+
+    this._timers[label] = new Date();
+  }
+
+  timeEnd(label = 'default') {
+    const startTime = this._timers[label];
+
+    if (startTime) {
+      const endTime = new Date().getTime();
+      const time = endTime - startTime.getTime();
+
+      this._log(
+        'time',
+        (0, _util().format)(`${label}: ${(0, _jestUtil().formatTime)(time)}`)
+      );
+
+      delete this._timers[label];
+    }
+  }
+
+  warn(firstArg, ...args) {
+    this._logError('warn', (0, _util().format)(firstArg, ...args));
+  }
+
+  getBuffer() {
+    return undefined;
+  }
+}
+
+exports.default = CustomConsole;
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/NullConsole.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/NullConsole.d.ts
new file mode 100644
index 000000000..07ba4aef0
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/NullConsole.d.ts
@@ -0,0 +1,22 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import CustomConsole from './CustomConsole';
+export default class NullConsole extends CustomConsole {
+    assert(): void;
+    debug(): void;
+    dir(): void;
+    error(): void;
+    info(): void;
+    log(): void;
+    time(): void;
+    timeEnd(): void;
+    trace(): void;
+    warn(): void;
+    group(): void;
+    groupCollapsed(): void;
+    groupEnd(): void;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/NullConsole.js b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/NullConsole.js
new file mode 100644
index 000000000..2d038bb79
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/NullConsole.js
@@ -0,0 +1,48 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _CustomConsole = _interopRequireDefault(require('./CustomConsole'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+class NullConsole extends _CustomConsole.default {
+  assert() {}
+
+  debug() {}
+
+  dir() {}
+
+  error() {}
+
+  info() {}
+
+  log() {}
+
+  time() {}
+
+  timeEnd() {}
+
+  trace() {}
+
+  warn() {}
+
+  group() {}
+
+  groupCollapsed() {}
+
+  groupEnd() {}
+}
+
+exports.default = NullConsole;
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/getConsoleOutput.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/getConsoleOutput.d.ts
new file mode 100644
index 000000000..155bdcca9
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/getConsoleOutput.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import { StackTraceConfig } from 'jest-message-util';
+import type { Config } from '@jest/types';
+import type { ConsoleBuffer } from './types';
+declare const _default: (root: string, verbose: boolean, buffer: ConsoleBuffer, config?: StackTraceConfig, globalConfig?: Config.GlobalConfig | undefined) => string;
+export default _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/getConsoleOutput.js b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/getConsoleOutput.js
new file mode 100644
index 000000000..a30b4f159
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/getConsoleOutput.js
@@ -0,0 +1,112 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestMessageUtil() {
+  const data = require('jest-message-util');
+
+  _jestMessageUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+var _default = (
+  root,
+  verbose,
+  buffer, // TODO: make mandatory and take Config.ProjectConfig in 27
+  config = {
+    rootDir: root,
+    testMatch: []
+  },
+  globalConfig
+) => {
+  const TITLE_INDENT = verbose ? '  ' : '    ';
+  const CONSOLE_INDENT = TITLE_INDENT + '  ';
+  const logEntries = buffer.reduce((output, {type, message, origin}) => {
+    message = message
+      .split(/\n/)
+      .map(line => CONSOLE_INDENT + line)
+      .join('\n');
+    let typeMessage = 'console.' + type;
+    let noStackTrace = true;
+    let noCodeFrame = true;
+
+    if (type === 'warn') {
+      var _globalConfig$noStack;
+
+      message = _chalk().default.yellow(message);
+      typeMessage = _chalk().default.yellow(typeMessage);
+      noStackTrace =
+        (_globalConfig$noStack =
+          globalConfig === null || globalConfig === void 0
+            ? void 0
+            : globalConfig.noStackTrace) !== null &&
+        _globalConfig$noStack !== void 0
+          ? _globalConfig$noStack
+          : false;
+      noCodeFrame = false;
+    } else if (type === 'error') {
+      var _globalConfig$noStack2;
+
+      message = _chalk().default.red(message);
+      typeMessage = _chalk().default.red(typeMessage);
+      noStackTrace =
+        (_globalConfig$noStack2 =
+          globalConfig === null || globalConfig === void 0
+            ? void 0
+            : globalConfig.noStackTrace) !== null &&
+        _globalConfig$noStack2 !== void 0
+          ? _globalConfig$noStack2
+          : false;
+      noCodeFrame = false;
+    }
+
+    const options = {
+      noCodeFrame,
+      noStackTrace
+    };
+    const formattedStackTrace = (0, _jestMessageUtil().formatStackTrace)(
+      origin,
+      config,
+      options
+    );
+    return (
+      output +
+      TITLE_INDENT +
+      _chalk().default.dim(typeMessage) +
+      '\n' +
+      message.trimRight() +
+      '\n' +
+      _chalk().default.dim(formattedStackTrace.trimRight()) +
+      '\n\n'
+    );
+  }, '');
+  return logEntries.trimRight() + '\n';
+};
+
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/index.d.ts
new file mode 100644
index 000000000..83ce5a70c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/index.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export { default as BufferedConsole } from './BufferedConsole';
+export { default as CustomConsole } from './CustomConsole';
+export { default as NullConsole } from './NullConsole';
+export { default as getConsoleOutput } from './getConsoleOutput';
+export type { ConsoleBuffer, LogMessage, LogType } from './types';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/index.js b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/index.js
new file mode 100644
index 000000000..88f6cb4dd
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/index.js
@@ -0,0 +1,41 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+Object.defineProperty(exports, 'BufferedConsole', {
+  enumerable: true,
+  get: function () {
+    return _BufferedConsole.default;
+  }
+});
+Object.defineProperty(exports, 'CustomConsole', {
+  enumerable: true,
+  get: function () {
+    return _CustomConsole.default;
+  }
+});
+Object.defineProperty(exports, 'NullConsole', {
+  enumerable: true,
+  get: function () {
+    return _NullConsole.default;
+  }
+});
+Object.defineProperty(exports, 'getConsoleOutput', {
+  enumerable: true,
+  get: function () {
+    return _getConsoleOutput.default;
+  }
+});
+
+var _BufferedConsole = _interopRequireDefault(require('./BufferedConsole'));
+
+var _CustomConsole = _interopRequireDefault(require('./CustomConsole'));
+
+var _NullConsole = _interopRequireDefault(require('./NullConsole'));
+
+var _getConsoleOutput = _interopRequireDefault(require('./getConsoleOutput'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/types.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/types.d.ts
new file mode 100644
index 000000000..8490c6764
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/types.d.ts
@@ -0,0 +1,20 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare type LogMessage = string;
+export declare type LogEntry = {
+    message: LogMessage;
+    origin: string;
+    type: LogType;
+};
+export declare type LogCounters = {
+    [label: string]: number;
+};
+export declare type LogTimers = {
+    [label: string]: Date;
+};
+export declare type LogType = 'assert' | 'count' | 'debug' | 'dir' | 'dirxml' | 'error' | 'group' | 'groupCollapsed' | 'info' | 'log' | 'time' | 'warn';
+export declare type ConsoleBuffer = Array<LogEntry>;
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/types.js b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/types.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/build/types.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/console/package.json b/node_modules/@jest/test-sequencer/node_modules/@jest/console/package.json
new file mode 100644
index 000000000..42b5e11fd
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/console/package.json
@@ -0,0 +1,63 @@
+{
+  "_args": [
+    [
+      "@jest/console@26.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "@jest/console@26.1.0",
+  "_id": "@jest/console@26.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-+0lpTHMd/8pJp+Nd4lyip+/Iyf2dZJvcCqrlkeZQoQid+JlThA4M9vxHtheyrQ99jJTMQam+es4BcvZ5W5cC3A==",
+  "_location": "/@jest/test-sequencer/@jest/console",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "@jest/console@26.1.0",
+    "name": "@jest/console",
+    "escapedName": "@jest%2fconsole",
+    "scope": "@jest",
+    "rawSpec": "26.1.0",
+    "saveSpec": null,
+    "fetchSpec": "26.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/@jest/test-result"
+  ],
+  "_resolved": "https://registry.npmjs.org/@jest/console/-/console-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/types": "^26.1.0",
+    "chalk": "^4.0.0",
+    "jest-message-util": "^26.1.0",
+    "jest-util": "^26.1.0",
+    "slash": "^3.0.0"
+  },
+  "devDependencies": {
+    "@types/node": "*"
+  },
+  "engines": {
+    "node": ">= 10.14.2"
+  },
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "@jest/console",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-console"
+  },
+  "types": "build/index.d.ts",
+  "version": "26.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/LICENSE b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/formatTestResults.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/formatTestResults.d.ts
new file mode 100644
index 000000000..6a3bf03a4
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/formatTestResults.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { AggregatedResult, CodeCoverageFormatter, CodeCoverageReporter, FormattedTestResults } from './types';
+export default function formatTestResults(results: AggregatedResult, codeCoverageFormatter?: CodeCoverageFormatter, reporter?: CodeCoverageReporter): FormattedTestResults;
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/formatTestResults.js b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/formatTestResults.js
new file mode 100644
index 000000000..3de0cdfa3
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/formatTestResults.js
@@ -0,0 +1,70 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = formatTestResults;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const formatTestResult = (testResult, codeCoverageFormatter, reporter) => {
+  const assertionResults = testResult.testResults.map(formatTestAssertion);
+
+  if (testResult.testExecError) {
+    const now = Date.now();
+    return {
+      assertionResults,
+      coverage: {},
+      endTime: now,
+      message: testResult.failureMessage
+        ? testResult.failureMessage
+        : testResult.testExecError.message,
+      name: testResult.testFilePath,
+      startTime: now,
+      status: 'failed',
+      summary: ''
+    };
+  } else {
+    const allTestsPassed = testResult.numFailingTests === 0;
+    return {
+      assertionResults,
+      coverage: codeCoverageFormatter
+        ? codeCoverageFormatter(testResult.coverage, reporter)
+        : testResult.coverage,
+      endTime: testResult.perfStats.end,
+      message: testResult.failureMessage || '',
+      name: testResult.testFilePath,
+      startTime: testResult.perfStats.start,
+      status: allTestsPassed ? 'passed' : 'failed',
+      summary: ''
+    };
+  }
+};
+
+function formatTestAssertion(assertion) {
+  const result = {
+    ancestorTitles: assertion.ancestorTitles,
+    failureMessages: null,
+    fullName: assertion.fullName,
+    location: assertion.location,
+    status: assertion.status,
+    title: assertion.title
+  };
+
+  if (assertion.failureMessages) {
+    result.failureMessages = assertion.failureMessages;
+  }
+
+  return result;
+}
+
+function formatTestResults(results, codeCoverageFormatter, reporter) {
+  const testResults = results.testResults.map(testResult =>
+    formatTestResult(testResult, codeCoverageFormatter, reporter)
+  );
+  return {...results, testResults};
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/helpers.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/helpers.d.ts
new file mode 100644
index 000000000..480c7ab3e
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/helpers.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import type { AggregatedResult, SerializableError, TestResult } from './types';
+export declare const makeEmptyAggregatedTestResult: () => AggregatedResult;
+export declare const buildFailureTestResult: (testPath: Config.Path, err: SerializableError) => TestResult;
+export declare const addResult: (aggregatedResults: AggregatedResult, testResult: TestResult) => void;
+export declare const createEmptyTestResult: () => TestResult;
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/helpers.js b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/helpers.js
new file mode 100644
index 000000000..d20417c61
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/helpers.js
@@ -0,0 +1,181 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.createEmptyTestResult = exports.addResult = exports.buildFailureTestResult = exports.makeEmptyAggregatedTestResult = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const makeEmptyAggregatedTestResult = () => ({
+  numFailedTestSuites: 0,
+  numFailedTests: 0,
+  numPassedTestSuites: 0,
+  numPassedTests: 0,
+  numPendingTestSuites: 0,
+  numPendingTests: 0,
+  numRuntimeErrorTestSuites: 0,
+  numTodoTests: 0,
+  numTotalTestSuites: 0,
+  numTotalTests: 0,
+  openHandles: [],
+  snapshot: {
+    added: 0,
+    didUpdate: false,
+    // is set only after the full run
+    failure: false,
+    filesAdded: 0,
+    // combines individual test results + removed files after the full run
+    filesRemoved: 0,
+    filesRemovedList: [],
+    filesUnmatched: 0,
+    filesUpdated: 0,
+    matched: 0,
+    total: 0,
+    unchecked: 0,
+    uncheckedKeysByFile: [],
+    unmatched: 0,
+    updated: 0
+  },
+  startTime: 0,
+  success: true,
+  testResults: [],
+  wasInterrupted: false
+});
+
+exports.makeEmptyAggregatedTestResult = makeEmptyAggregatedTestResult;
+
+const buildFailureTestResult = (testPath, err) => ({
+  console: undefined,
+  displayName: undefined,
+  failureMessage: null,
+  leaks: false,
+  numFailingTests: 0,
+  numPassingTests: 0,
+  numPendingTests: 0,
+  numTodoTests: 0,
+  openHandles: [],
+  perfStats: {
+    end: 0,
+    start: 0
+  },
+  skipped: false,
+  snapshot: {
+    added: 0,
+    fileDeleted: false,
+    matched: 0,
+    unchecked: 0,
+    uncheckedKeys: [],
+    unmatched: 0,
+    updated: 0
+  },
+  sourceMaps: {},
+  testExecError: err,
+  testFilePath: testPath,
+  testResults: []
+}); // Add individual test result to an aggregated test result
+
+exports.buildFailureTestResult = buildFailureTestResult;
+
+const addResult = (aggregatedResults, testResult) => {
+  // `todos` are new as of Jest 24, and not all runners return it.
+  // Set it to `0` to avoid `NaN`
+  if (!testResult.numTodoTests) {
+    testResult.numTodoTests = 0;
+  }
+
+  aggregatedResults.testResults.push(testResult);
+  aggregatedResults.numTotalTests +=
+    testResult.numPassingTests +
+    testResult.numFailingTests +
+    testResult.numPendingTests +
+    testResult.numTodoTests;
+  aggregatedResults.numFailedTests += testResult.numFailingTests;
+  aggregatedResults.numPassedTests += testResult.numPassingTests;
+  aggregatedResults.numPendingTests += testResult.numPendingTests;
+  aggregatedResults.numTodoTests += testResult.numTodoTests;
+
+  if (testResult.testExecError) {
+    aggregatedResults.numRuntimeErrorTestSuites++;
+  }
+
+  if (testResult.skipped) {
+    aggregatedResults.numPendingTestSuites++;
+  } else if (testResult.numFailingTests > 0 || testResult.testExecError) {
+    aggregatedResults.numFailedTestSuites++;
+  } else {
+    aggregatedResults.numPassedTestSuites++;
+  } // Snapshot data
+
+  if (testResult.snapshot.added) {
+    aggregatedResults.snapshot.filesAdded++;
+  }
+
+  if (testResult.snapshot.fileDeleted) {
+    aggregatedResults.snapshot.filesRemoved++;
+  }
+
+  if (testResult.snapshot.unmatched) {
+    aggregatedResults.snapshot.filesUnmatched++;
+  }
+
+  if (testResult.snapshot.updated) {
+    aggregatedResults.snapshot.filesUpdated++;
+  }
+
+  aggregatedResults.snapshot.added += testResult.snapshot.added;
+  aggregatedResults.snapshot.matched += testResult.snapshot.matched;
+  aggregatedResults.snapshot.unchecked += testResult.snapshot.unchecked;
+
+  if (
+    testResult.snapshot.uncheckedKeys &&
+    testResult.snapshot.uncheckedKeys.length > 0
+  ) {
+    aggregatedResults.snapshot.uncheckedKeysByFile.push({
+      filePath: testResult.testFilePath,
+      keys: testResult.snapshot.uncheckedKeys
+    });
+  }
+
+  aggregatedResults.snapshot.unmatched += testResult.snapshot.unmatched;
+  aggregatedResults.snapshot.updated += testResult.snapshot.updated;
+  aggregatedResults.snapshot.total +=
+    testResult.snapshot.added +
+    testResult.snapshot.matched +
+    testResult.snapshot.unmatched +
+    testResult.snapshot.updated;
+};
+
+exports.addResult = addResult;
+
+const createEmptyTestResult = () => ({
+  leaks: false,
+  // That's legacy code, just adding it as needed for typing
+  numFailingTests: 0,
+  numPassingTests: 0,
+  numPendingTests: 0,
+  numTodoTests: 0,
+  openHandles: [],
+  perfStats: {
+    end: 0,
+    start: 0
+  },
+  skipped: false,
+  snapshot: {
+    added: 0,
+    fileDeleted: false,
+    matched: 0,
+    unchecked: 0,
+    uncheckedKeys: [],
+    unmatched: 0,
+    updated: 0
+  },
+  testFilePath: '',
+  testResults: []
+});
+
+exports.createEmptyTestResult = createEmptyTestResult;
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/index.d.ts
new file mode 100644
index 000000000..a54a258b8
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/index.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export { default as formatTestResults } from './formatTestResults';
+export { addResult, buildFailureTestResult, createEmptyTestResult, makeEmptyAggregatedTestResult, } from './helpers';
+export type { AggregatedResult, AssertionLocation, AssertionResult, FailedAssertion, FormattedTestResults, Milliseconds, SerializableError, SnapshotSummary, Status, Suite, TestResult, V8CoverageResult, } from './types';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/index.js b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/index.js
new file mode 100644
index 000000000..243e6682f
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/index.js
@@ -0,0 +1,43 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+Object.defineProperty(exports, 'formatTestResults', {
+  enumerable: true,
+  get: function () {
+    return _formatTestResults.default;
+  }
+});
+Object.defineProperty(exports, 'addResult', {
+  enumerable: true,
+  get: function () {
+    return _helpers.addResult;
+  }
+});
+Object.defineProperty(exports, 'buildFailureTestResult', {
+  enumerable: true,
+  get: function () {
+    return _helpers.buildFailureTestResult;
+  }
+});
+Object.defineProperty(exports, 'createEmptyTestResult', {
+  enumerable: true,
+  get: function () {
+    return _helpers.createEmptyTestResult;
+  }
+});
+Object.defineProperty(exports, 'makeEmptyAggregatedTestResult', {
+  enumerable: true,
+  get: function () {
+    return _helpers.makeEmptyAggregatedTestResult;
+  }
+});
+
+var _formatTestResults = _interopRequireDefault(require('./formatTestResults'));
+
+var _helpers = require('./helpers');
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/types.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/types.d.ts
new file mode 100644
index 000000000..207aa8d4d
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/types.d.ts
@@ -0,0 +1,146 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { CoverageMap, CoverageMapData } from 'istanbul-lib-coverage';
+import type { ConsoleBuffer } from '@jest/console';
+import type { Config, TestResult, TransformTypes } from '@jest/types';
+import type { V8Coverage } from 'collect-v8-coverage';
+export declare type V8CoverageResult = Array<{
+    codeTransformResult: TransformTypes.TransformResult | undefined;
+    result: V8Coverage[number];
+}>;
+export declare type SerializableError = TestResult.SerializableError;
+export declare type FailedAssertion = {
+    matcherName?: string;
+    message?: string;
+    actual?: any;
+    pass?: boolean;
+    passed?: boolean;
+    expected?: any;
+    isNot?: boolean;
+    stack?: string;
+    error?: any;
+};
+export declare type AssertionLocation = {
+    fullName: string;
+    path: string;
+};
+export declare type Status = AssertionResult['status'];
+export declare type Bytes = number;
+export declare type Milliseconds = TestResult.Milliseconds;
+export declare type AssertionResult = TestResult.AssertionResult;
+export declare type FormattedAssertionResult = Pick<AssertionResult, 'ancestorTitles' | 'fullName' | 'location' | 'status' | 'title'> & {
+    failureMessages: AssertionResult['failureMessages'] | null;
+};
+export declare type AggregatedResultWithoutCoverage = {
+    numFailedTests: number;
+    numFailedTestSuites: number;
+    numPassedTests: number;
+    numPassedTestSuites: number;
+    numPendingTests: number;
+    numTodoTests: number;
+    numPendingTestSuites: number;
+    numRuntimeErrorTestSuites: number;
+    numTotalTests: number;
+    numTotalTestSuites: number;
+    openHandles: Array<Error>;
+    snapshot: SnapshotSummary;
+    startTime: number;
+    success: boolean;
+    testResults: Array<TestResult>;
+    wasInterrupted: boolean;
+};
+export declare type AggregatedResult = AggregatedResultWithoutCoverage & {
+    coverageMap?: CoverageMap | null;
+};
+export declare type Suite = {
+    title: string;
+    suites: Array<Suite>;
+    tests: Array<AssertionResult>;
+};
+export declare type TestResult = {
+    console?: ConsoleBuffer;
+    coverage?: CoverageMapData;
+    displayName?: Config.DisplayName;
+    failureMessage?: string | null;
+    leaks: boolean;
+    memoryUsage?: Bytes;
+    numFailingTests: number;
+    numPassingTests: number;
+    numPendingTests: number;
+    numTodoTests: number;
+    openHandles: Array<Error>;
+    perfStats: {
+        end: Milliseconds;
+        start: Milliseconds;
+    };
+    skipped: boolean;
+    snapshot: {
+        added: number;
+        fileDeleted: boolean;
+        matched: number;
+        unchecked: number;
+        uncheckedKeys: Array<string>;
+        unmatched: number;
+        updated: number;
+    };
+    sourceMaps?: {
+        [sourcePath: string]: string;
+    };
+    testExecError?: SerializableError;
+    testFilePath: Config.Path;
+    testResults: Array<AssertionResult>;
+    v8Coverage?: V8CoverageResult;
+};
+export declare type FormattedTestResult = {
+    message: string;
+    name: string;
+    summary: string;
+    status: 'failed' | 'passed';
+    startTime: number;
+    endTime: number;
+    coverage: any;
+    assertionResults: Array<FormattedAssertionResult>;
+};
+export declare type FormattedTestResults = {
+    coverageMap?: CoverageMap | null | undefined;
+    numFailedTests: number;
+    numFailedTestSuites: number;
+    numPassedTests: number;
+    numPassedTestSuites: number;
+    numPendingTests: number;
+    numPendingTestSuites: number;
+    numRuntimeErrorTestSuites: number;
+    numTotalTests: number;
+    numTotalTestSuites: number;
+    snapshot: SnapshotSummary;
+    startTime: number;
+    success: boolean;
+    testResults: Array<FormattedTestResult>;
+    wasInterrupted: boolean;
+};
+export declare type CodeCoverageReporter = any;
+export declare type CodeCoverageFormatter = (coverage: CoverageMapData | null | undefined, reporter: CodeCoverageReporter) => Record<string, any> | null | undefined;
+export declare type UncheckedSnapshot = {
+    filePath: string;
+    keys: Array<string>;
+};
+export declare type SnapshotSummary = {
+    added: number;
+    didUpdate: boolean;
+    failure: boolean;
+    filesAdded: number;
+    filesRemoved: number;
+    filesRemovedList: Array<string>;
+    filesUnmatched: number;
+    filesUpdated: number;
+    matched: number;
+    total: number;
+    unchecked: number;
+    uncheckedKeysByFile: Array<UncheckedSnapshot>;
+    unmatched: number;
+    updated: number;
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/types.js b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/types.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/build/types.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/package.json b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/package.json
new file mode 100644
index 000000000..4c1ac3b9b
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/test-result/package.json
@@ -0,0 +1,59 @@
+{
+  "_args": [
+    [
+      "@jest/test-result@26.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "@jest/test-result@26.1.0",
+  "_id": "@jest/test-result@26.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-Xz44mhXph93EYMA8aYDz+75mFbarTV/d/x0yMdI3tfSRs/vh4CqSxgzVmCps1fPkHDCtn0tU8IH9iCKgGeGpfw==",
+  "_location": "/@jest/test-sequencer/@jest/test-result",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "@jest/test-result@26.1.0",
+    "name": "@jest/test-result",
+    "escapedName": "@jest%2ftest-result",
+    "scope": "@jest",
+    "rawSpec": "26.1.0",
+    "saveSpec": null,
+    "fetchSpec": "26.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer"
+  ],
+  "_resolved": "https://registry.npmjs.org/@jest/test-result/-/test-result-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/console": "^26.1.0",
+    "@jest/types": "^26.1.0",
+    "@types/istanbul-lib-coverage": "^2.0.0",
+    "collect-v8-coverage": "^1.0.0"
+  },
+  "engines": {
+    "node": ">= 10.14.2"
+  },
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "@jest/test-result",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-test-result"
+  },
+  "types": "build/index.d.ts",
+  "version": "26.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/LICENSE b/node_modules/@jest/test-sequencer/node_modules/@jest/types/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Circus.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Circus.d.ts
new file mode 100644
index 000000000..651a9a4f6
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Circus.d.ts
@@ -0,0 +1,180 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type * as Global from './Global';
+declare type Process = NodeJS.Process;
+export declare type DoneFn = Global.DoneFn;
+export declare type BlockFn = Global.BlockFn;
+export declare type BlockName = Global.BlockName;
+export declare type BlockMode = void | 'skip' | 'only' | 'todo';
+export declare type TestMode = BlockMode;
+export declare type TestName = Global.TestName;
+export declare type TestFn = Global.TestFn;
+export declare type HookFn = Global.HookFn;
+export declare type AsyncFn = TestFn | HookFn;
+export declare type SharedHookType = 'afterAll' | 'beforeAll';
+export declare type HookType = SharedHookType | 'afterEach' | 'beforeEach';
+export declare type TestContext = Record<string, any>;
+export declare type Exception = any;
+export declare type FormattedError = string;
+export declare type Hook = {
+    asyncError: Error;
+    fn: HookFn;
+    type: HookType;
+    parent: DescribeBlock;
+    timeout: number | undefined | null;
+};
+export interface EventHandler {
+    (event: AsyncEvent, state: State): void | Promise<void>;
+    (event: SyncEvent, state: State): void;
+}
+export declare type Event = SyncEvent | AsyncEvent;
+export declare type SyncEvent = {
+    asyncError: Error;
+    mode: BlockMode;
+    name: 'start_describe_definition';
+    blockName: BlockName;
+} | {
+    mode: BlockMode;
+    name: 'finish_describe_definition';
+    blockName: BlockName;
+} | {
+    asyncError: Error;
+    name: 'add_hook';
+    hookType: HookType;
+    fn: HookFn;
+    timeout: number | undefined;
+} | {
+    asyncError: Error;
+    name: 'add_test';
+    testName: TestName;
+    fn?: TestFn;
+    mode?: TestMode;
+    timeout: number | undefined;
+} | {
+    name: 'error';
+    error: Exception;
+};
+export declare type AsyncEvent = {
+    name: 'setup';
+    testNamePattern?: string;
+    parentProcess: Process;
+} | {
+    name: 'include_test_location_in_result';
+} | {
+    name: 'hook_start';
+    hook: Hook;
+} | {
+    name: 'hook_success';
+    describeBlock?: DescribeBlock;
+    test?: TestEntry;
+    hook: Hook;
+} | {
+    name: 'hook_failure';
+    error: string | Exception;
+    describeBlock?: DescribeBlock;
+    test?: TestEntry;
+    hook: Hook;
+} | {
+    name: 'test_fn_start';
+    test: TestEntry;
+} | {
+    name: 'test_fn_success';
+    test: TestEntry;
+} | {
+    name: 'test_fn_failure';
+    error: Exception;
+    test: TestEntry;
+} | {
+    name: 'test_retry';
+    test: TestEntry;
+} | {
+    name: 'test_start';
+    test: TestEntry;
+} | {
+    name: 'test_skip';
+    test: TestEntry;
+} | {
+    name: 'test_todo';
+    test: TestEntry;
+} | {
+    name: 'test_done';
+    test: TestEntry;
+} | {
+    name: 'run_describe_start';
+    describeBlock: DescribeBlock;
+} | {
+    name: 'run_describe_finish';
+    describeBlock: DescribeBlock;
+} | {
+    name: 'run_start';
+} | {
+    name: 'run_finish';
+} | {
+    name: 'teardown';
+};
+export declare type TestStatus = 'skip' | 'done' | 'todo';
+export declare type TestResult = {
+    duration?: number | null;
+    errors: Array<FormattedError>;
+    invocations: number;
+    status: TestStatus;
+    location?: {
+        column: number;
+        line: number;
+    } | null;
+    testPath: Array<TestName | BlockName>;
+};
+export declare type RunResult = {
+    unhandledErrors: Array<FormattedError>;
+    testResults: TestResults;
+};
+export declare type TestResults = Array<TestResult>;
+export declare type GlobalErrorHandlers = {
+    uncaughtException: Array<(exception: Exception) => void>;
+    unhandledRejection: Array<(exception: Exception, promise: Promise<any>) => void>;
+};
+export declare type State = {
+    currentDescribeBlock: DescribeBlock;
+    currentlyRunningTest?: TestEntry | null;
+    expand?: boolean;
+    hasFocusedTests: boolean;
+    hasStarted: boolean;
+    originalGlobalErrorHandlers?: GlobalErrorHandlers;
+    parentProcess: Process | null;
+    rootDescribeBlock: DescribeBlock;
+    testNamePattern?: RegExp | null;
+    testTimeout: number;
+    unhandledErrors: Array<Exception>;
+    includeTestLocationInResult: boolean;
+};
+export declare type DescribeBlock = {
+    type: 'describeBlock';
+    children: Array<DescribeBlock | TestEntry>;
+    hooks: Array<Hook>;
+    mode: BlockMode;
+    name: BlockName;
+    parent?: DescribeBlock;
+    /** @deprecated Please get from `children` array instead */
+    tests: Array<TestEntry>;
+};
+export declare type TestError = Exception | [Exception | undefined, Exception];
+export declare type TestEntry = {
+    type: 'test';
+    asyncError: Exception;
+    errors: Array<TestError>;
+    fn?: TestFn;
+    invocations: number;
+    mode: TestMode;
+    name: TestName;
+    parent: DescribeBlock;
+    startedAt?: number | null;
+    duration?: number | null;
+    status?: TestStatus | null;
+    timeout?: number;
+};
+export {};
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Circus.js b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Circus.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Circus.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Config.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Config.d.ts
new file mode 100644
index 000000000..d79a5d525
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Config.d.ts
@@ -0,0 +1,415 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type { Arguments } from 'yargs';
+import type { ReportOptions } from 'istanbul-reports';
+import chalk = require('chalk');
+declare type CoverageProvider = 'babel' | 'v8';
+export declare type Path = string;
+export declare type Glob = string;
+export declare type HasteConfig = {
+    computeSha1?: boolean;
+    defaultPlatform?: string | null;
+    hasteImplModulePath?: string;
+    platforms?: Array<string>;
+    throwOnModuleCollision?: boolean;
+};
+export declare type ReporterConfig = [string, Record<string, unknown>];
+export declare type TransformerConfig = [string, Record<string, unknown>];
+export interface ConfigGlobals {
+    [K: string]: unknown;
+}
+export declare type DefaultOptions = {
+    automock: boolean;
+    bail: number;
+    cache: boolean;
+    cacheDirectory: Path;
+    changedFilesWithAncestor: boolean;
+    clearMocks: boolean;
+    collectCoverage: boolean;
+    coveragePathIgnorePatterns: Array<string>;
+    coverageReporters: Array<string | [string, any]>;
+    coverageProvider: CoverageProvider;
+    errorOnDeprecated: boolean;
+    expand: boolean;
+    forceCoverageMatch: Array<Glob>;
+    globals: ConfigGlobals;
+    haste: HasteConfig;
+    maxConcurrency: number;
+    maxWorkers: number | string;
+    moduleDirectories: Array<string>;
+    moduleFileExtensions: Array<string>;
+    moduleNameMapper: Record<string, string | Array<string>>;
+    modulePathIgnorePatterns: Array<string>;
+    noStackTrace: boolean;
+    notify: boolean;
+    notifyMode: NotifyMode;
+    prettierPath: string;
+    resetMocks: boolean;
+    resetModules: boolean;
+    restoreMocks: boolean;
+    roots: Array<Path>;
+    runTestsByPath: boolean;
+    runner: 'jest-runner';
+    setupFiles: Array<Path>;
+    setupFilesAfterEnv: Array<Path>;
+    skipFilter: boolean;
+    snapshotSerializers: Array<Path>;
+    testEnvironment: string;
+    testEnvironmentOptions: Record<string, any>;
+    testFailureExitCode: string | number;
+    testLocationInResults: boolean;
+    testMatch: Array<Glob>;
+    testPathIgnorePatterns: Array<string>;
+    testRegex: Array<string>;
+    testRunner: string;
+    testSequencer: string;
+    testURL: string;
+    timers: 'real' | 'fake';
+    transformIgnorePatterns: Array<Glob>;
+    useStderr: boolean;
+    watch: boolean;
+    watchPathIgnorePatterns: Array<string>;
+    watchman: boolean;
+};
+export declare type DisplayName = {
+    name: string;
+    color: typeof chalk.Color;
+};
+export declare type InitialOptionsWithRootDir = InitialOptions & Required<Pick<InitialOptions, 'rootDir'>>;
+export declare type InitialOptions = Partial<{
+    automock: boolean;
+    bail: boolean | number;
+    cache: boolean;
+    cacheDirectory: Path;
+    clearMocks: boolean;
+    changedFilesWithAncestor: boolean;
+    changedSince: string;
+    collectCoverage: boolean;
+    collectCoverageFrom: Array<Glob>;
+    collectCoverageOnlyFrom: {
+        [key: string]: boolean;
+    };
+    coverageDirectory: string;
+    coveragePathIgnorePatterns: Array<string>;
+    coverageProvider: CoverageProvider;
+    coverageReporters: Array<string>;
+    coverageThreshold: {
+        global: {
+            [key: string]: number;
+        };
+    };
+    dependencyExtractor: string;
+    detectLeaks: boolean;
+    detectOpenHandles: boolean;
+    displayName: string | DisplayName;
+    expand: boolean;
+    extraGlobals: Array<string>;
+    filter: Path;
+    findRelatedTests: boolean;
+    forceCoverageMatch: Array<Glob>;
+    forceExit: boolean;
+    json: boolean;
+    globals: ConfigGlobals;
+    globalSetup: string | null | undefined;
+    globalTeardown: string | null | undefined;
+    haste: HasteConfig;
+    reporters: Array<string | ReporterConfig>;
+    logHeapUsage: boolean;
+    lastCommit: boolean;
+    listTests: boolean;
+    mapCoverage: boolean;
+    maxConcurrency: number;
+    maxWorkers: number | string;
+    moduleDirectories: Array<string>;
+    moduleFileExtensions: Array<string>;
+    moduleLoader: Path;
+    moduleNameMapper: {
+        [key: string]: string | Array<string>;
+    };
+    modulePathIgnorePatterns: Array<string>;
+    modulePaths: Array<string>;
+    name: string;
+    noStackTrace: boolean;
+    notify: boolean;
+    notifyMode: string;
+    onlyChanged: boolean;
+    outputFile: Path;
+    passWithNoTests: boolean;
+    preprocessorIgnorePatterns: Array<Glob>;
+    preset: string | null | undefined;
+    prettierPath: string | null | undefined;
+    projects: Array<Glob>;
+    replname: string | null | undefined;
+    resetMocks: boolean;
+    resetModules: boolean;
+    resolver: Path | null | undefined;
+    restoreMocks: boolean;
+    rootDir: Path;
+    roots: Array<Path>;
+    runner: string;
+    runTestsByPath: boolean;
+    scriptPreprocessor: string;
+    setupFiles: Array<Path>;
+    setupTestFrameworkScriptFile: Path;
+    setupFilesAfterEnv: Array<Path>;
+    silent: boolean;
+    skipFilter: boolean;
+    skipNodeResolution: boolean;
+    snapshotResolver: Path;
+    snapshotSerializers: Array<Path>;
+    errorOnDeprecated: boolean;
+    testEnvironment: string;
+    testEnvironmentOptions: Record<string, any>;
+    testFailureExitCode: string | number;
+    testLocationInResults: boolean;
+    testMatch: Array<Glob>;
+    testNamePattern: string;
+    testPathDirs: Array<Path>;
+    testPathIgnorePatterns: Array<string>;
+    testRegex: string | Array<string>;
+    testResultsProcessor: string;
+    testRunner: string;
+    testSequencer: string;
+    testURL: string;
+    testTimeout: number;
+    timers: 'real' | 'fake';
+    transform: {
+        [regex: string]: Path | TransformerConfig;
+    };
+    transformIgnorePatterns: Array<Glob>;
+    watchPathIgnorePatterns: Array<string>;
+    unmockedModulePathPatterns: Array<string>;
+    updateSnapshot: boolean;
+    useStderr: boolean;
+    verbose?: boolean;
+    watch: boolean;
+    watchAll: boolean;
+    watchman: boolean;
+    watchPlugins: Array<string | [string, Record<string, any>]>;
+}>;
+export declare type SnapshotUpdateState = 'all' | 'new' | 'none';
+declare type NotifyMode = 'always' | 'failure' | 'success' | 'change' | 'success-change' | 'failure-change';
+export declare type CoverageThresholdValue = {
+    branches?: number;
+    functions?: number;
+    lines?: number;
+    statements?: number;
+};
+declare type CoverageThreshold = {
+    [path: string]: CoverageThresholdValue;
+    global: CoverageThresholdValue;
+};
+export declare type GlobalConfig = {
+    bail: number;
+    changedSince?: string;
+    changedFilesWithAncestor: boolean;
+    collectCoverage: boolean;
+    collectCoverageFrom: Array<Glob>;
+    collectCoverageOnlyFrom?: {
+        [key: string]: boolean;
+    };
+    coverageDirectory: string;
+    coveragePathIgnorePatterns?: Array<string>;
+    coverageProvider: CoverageProvider;
+    coverageReporters: Array<keyof ReportOptions | [keyof ReportOptions, any]>;
+    coverageThreshold?: CoverageThreshold;
+    detectLeaks: boolean;
+    detectOpenHandles: boolean;
+    enabledTestsMap?: {
+        [key: string]: {
+            [key: string]: boolean;
+        };
+    };
+    expand: boolean;
+    filter?: Path;
+    findRelatedTests: boolean;
+    forceExit: boolean;
+    json: boolean;
+    globalSetup?: string;
+    globalTeardown?: string;
+    lastCommit: boolean;
+    logHeapUsage: boolean;
+    listTests: boolean;
+    maxConcurrency: number;
+    maxWorkers: number;
+    noStackTrace: boolean;
+    nonFlagArgs: Array<string>;
+    noSCM?: boolean;
+    notify: boolean;
+    notifyMode: NotifyMode;
+    outputFile?: Path;
+    onlyChanged: boolean;
+    onlyFailures: boolean;
+    passWithNoTests: boolean;
+    projects: Array<Glob>;
+    replname?: string;
+    reporters?: Array<string | ReporterConfig>;
+    runTestsByPath: boolean;
+    rootDir: Path;
+    silent?: boolean;
+    skipFilter: boolean;
+    errorOnDeprecated: boolean;
+    testFailureExitCode: number;
+    testNamePattern?: string;
+    testPathPattern: string;
+    testResultsProcessor?: string;
+    testSequencer: string;
+    testTimeout?: number;
+    updateSnapshot: SnapshotUpdateState;
+    useStderr: boolean;
+    verbose?: boolean;
+    watch: boolean;
+    watchAll: boolean;
+    watchman: boolean;
+    watchPlugins?: Array<{
+        path: string;
+        config: Record<string, any>;
+    }> | null;
+};
+export declare type ProjectConfig = {
+    automock: boolean;
+    cache: boolean;
+    cacheDirectory: Path;
+    clearMocks: boolean;
+    coveragePathIgnorePatterns: Array<string>;
+    cwd: Path;
+    dependencyExtractor?: string;
+    detectLeaks: boolean;
+    detectOpenHandles: boolean;
+    displayName?: DisplayName;
+    errorOnDeprecated: boolean;
+    extraGlobals: Array<keyof NodeJS.Global>;
+    filter?: Path;
+    forceCoverageMatch: Array<Glob>;
+    globalSetup?: string;
+    globalTeardown?: string;
+    globals: ConfigGlobals;
+    haste: HasteConfig;
+    moduleDirectories: Array<string>;
+    moduleFileExtensions: Array<string>;
+    moduleLoader?: Path;
+    moduleNameMapper: Array<[string, string]>;
+    modulePathIgnorePatterns: Array<string>;
+    modulePaths?: Array<string>;
+    name: string;
+    prettierPath: string;
+    resetMocks: boolean;
+    resetModules: boolean;
+    resolver?: Path;
+    restoreMocks: boolean;
+    rootDir: Path;
+    roots: Array<Path>;
+    runner: string;
+    setupFiles: Array<Path>;
+    setupFilesAfterEnv: Array<Path>;
+    skipFilter: boolean;
+    skipNodeResolution?: boolean;
+    snapshotResolver?: Path;
+    snapshotSerializers: Array<Path>;
+    testEnvironment: string;
+    testEnvironmentOptions: Record<string, any>;
+    testMatch: Array<Glob>;
+    testLocationInResults: boolean;
+    testPathIgnorePatterns: Array<string>;
+    testRegex: Array<string | RegExp>;
+    testRunner: string;
+    testURL: string;
+    timers: 'real' | 'fake' | 'modern' | 'legacy';
+    transform: Array<[string, Path, Record<string, unknown>]>;
+    transformIgnorePatterns: Array<Glob>;
+    watchPathIgnorePatterns: Array<string>;
+    unmockedModulePathPatterns?: Array<string>;
+};
+export declare type Argv = Arguments<Partial<{
+    all: boolean;
+    automock: boolean;
+    bail: boolean | number;
+    cache: boolean;
+    cacheDirectory: string;
+    changedFilesWithAncestor: boolean;
+    changedSince: string;
+    ci: boolean;
+    clearCache: boolean;
+    clearMocks: boolean;
+    collectCoverage: boolean;
+    collectCoverageFrom: string;
+    collectCoverageOnlyFrom: Array<string>;
+    color: boolean;
+    colors: boolean;
+    config: string;
+    coverage: boolean;
+    coverageDirectory: string;
+    coveragePathIgnorePatterns: Array<string>;
+    coverageReporters: Array<string>;
+    coverageThreshold: string;
+    debug: boolean;
+    env: string;
+    expand: boolean;
+    findRelatedTests: boolean;
+    forceExit: boolean;
+    globals: string;
+    globalSetup: string | null | undefined;
+    globalTeardown: string | null | undefined;
+    haste: string;
+    init: boolean;
+    json: boolean;
+    lastCommit: boolean;
+    logHeapUsage: boolean;
+    maxWorkers: number | string;
+    moduleDirectories: Array<string>;
+    moduleFileExtensions: Array<string>;
+    moduleNameMapper: string;
+    modulePathIgnorePatterns: Array<string>;
+    modulePaths: Array<string>;
+    noStackTrace: boolean;
+    notify: boolean;
+    notifyMode: string;
+    onlyChanged: boolean;
+    outputFile: string;
+    preset: string | null | undefined;
+    projects: Array<string>;
+    prettierPath: string | null | undefined;
+    resetMocks: boolean;
+    resetModules: boolean;
+    resolver: string | null | undefined;
+    restoreMocks: boolean;
+    rootDir: string;
+    roots: Array<string>;
+    runInBand: boolean;
+    selectProjects: Array<string>;
+    setupFiles: Array<string>;
+    setupFilesAfterEnv: Array<string>;
+    showConfig: boolean;
+    silent: boolean;
+    snapshotSerializers: Array<string>;
+    testEnvironment: string;
+    testFailureExitCode: string | null | undefined;
+    testMatch: Array<string>;
+    testNamePattern: string;
+    testPathIgnorePatterns: Array<string>;
+    testPathPattern: Array<string>;
+    testRegex: string | Array<string>;
+    testResultsProcessor: string;
+    testRunner: string;
+    testSequencer: string;
+    testURL: string;
+    testTimeout: number | null | undefined;
+    timers: string;
+    transform: string;
+    transformIgnorePatterns: Array<string>;
+    unmockedModulePathPatterns: Array<string> | null | undefined;
+    updateSnapshot: boolean;
+    useStderr: boolean;
+    verbose: boolean;
+    version: boolean;
+    watch: boolean;
+    watchAll: boolean;
+    watchman: boolean;
+    watchPathIgnorePatterns: Array<string>;
+}>>;
+export {};
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Config.js b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Config.js
new file mode 100644
index 000000000..c6c531133
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Config.js
@@ -0,0 +1,15 @@
+'use strict';
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Global.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Global.d.ts
new file mode 100644
index 000000000..ba73aa43a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Global.d.ts
@@ -0,0 +1,82 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type { CoverageMapData } from 'istanbul-lib-coverage';
+export declare type DoneFn = (reason?: string | Error) => void;
+export declare type TestName = string;
+export declare type TestFn = (done?: DoneFn) => Promise<void | undefined | unknown> | void | undefined;
+export declare type BlockFn = () => void;
+export declare type BlockName = string;
+export declare type HookFn = TestFn;
+export declare type Col = unknown;
+export declare type Row = Array<Col>;
+export declare type Table = Array<Row>;
+export declare type ArrayTable = Table | Row;
+export declare type TemplateTable = TemplateStringsArray;
+export declare type TemplateData = Array<unknown>;
+export declare type EachTable = ArrayTable | TemplateTable;
+export declare type EachTestFn = (...args: Array<any>) => Promise<any> | void | undefined;
+declare type Jasmine = {
+    _DEFAULT_TIMEOUT_INTERVAL?: number;
+    addMatchers: Function;
+};
+declare type Each = (table: EachTable, ...taggedTemplateData: Array<unknown>) => (title: string, test: EachTestFn, timeout?: number) => void;
+export interface ItBase {
+    (testName: TestName, fn: TestFn, timeout?: number): void;
+    each: Each;
+}
+export interface It extends ItBase {
+    only: ItBase;
+    skip: ItBase;
+    todo: (testName: TestName, ...rest: Array<any>) => void;
+}
+export interface ItConcurrentBase {
+    (testName: string, testFn: () => Promise<any>, timeout?: number): void;
+}
+export interface ItConcurrentExtended extends ItConcurrentBase {
+    only: ItConcurrentBase;
+    skip: ItConcurrentBase;
+}
+export interface ItConcurrent extends It {
+    concurrent: ItConcurrentExtended;
+}
+export interface DescribeBase {
+    (blockName: BlockName, blockFn: BlockFn): void;
+    each: Each;
+}
+export interface Describe extends DescribeBase {
+    only: DescribeBase;
+    skip: DescribeBase;
+}
+export interface TestFrameworkGlobals {
+    it: ItConcurrent;
+    test: ItConcurrent;
+    fit: ItBase & {
+        concurrent?: ItConcurrentBase;
+    };
+    xit: ItBase;
+    xtest: ItBase;
+    describe: Describe;
+    xdescribe: DescribeBase;
+    fdescribe: DescribeBase;
+    beforeAll: HookFn;
+    beforeEach: HookFn;
+    afterEach: HookFn;
+    afterAll: HookFn;
+}
+export interface GlobalAdditions extends TestFrameworkGlobals {
+    __coverage__: CoverageMapData;
+    jasmine: Jasmine;
+    fail: () => void;
+    pending: () => void;
+    spyOn: () => void;
+    spyOnProperty: () => void;
+}
+export interface Global extends GlobalAdditions, Omit<NodeJS.Global, keyof GlobalAdditions> {
+    [extras: string]: any;
+}
+export {};
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Global.js b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Global.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Global.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/TestResult.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/TestResult.d.ts
new file mode 100644
index 000000000..560216c9e
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/TestResult.d.ts
@@ -0,0 +1,30 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare type Milliseconds = number;
+declare type Status = 'passed' | 'failed' | 'skipped' | 'pending' | 'todo' | 'disabled';
+declare type Callsite = {
+    column: number;
+    line: number;
+};
+export declare type AssertionResult = {
+    ancestorTitles: Array<string>;
+    duration?: Milliseconds | null;
+    failureMessages: Array<string>;
+    fullName: string;
+    invocations?: number;
+    location?: Callsite | null;
+    numPassingAsserts: number;
+    status: Status;
+    title: string;
+};
+export declare type SerializableError = {
+    code?: unknown;
+    message: string;
+    stack: string | null | undefined;
+    type?: string;
+};
+export {};
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/TestResult.js b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/TestResult.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/TestResult.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Transform.d.ts
new file mode 100644
index 000000000..af8063f7d
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Transform.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare type TransformResult = {
+    code: string;
+    originalCode: string;
+    mapCoverage?: boolean;
+    sourceMapPath: string | null;
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Transform.js b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Transform.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/Transform.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/index.d.ts
new file mode 100644
index 000000000..be82158e4
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/index.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type * as Circus from './Circus';
+import type * as Config from './Config';
+import type * as Global from './Global';
+import type * as TestResult from './TestResult';
+import type * as TransformTypes from './Transform';
+export type { Circus, Config, Global, TestResult, TransformTypes };
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/index.js b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/index.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/build/index.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/@jest/types/package.json b/node_modules/@jest/test-sequencer/node_modules/@jest/types/package.json
new file mode 100644
index 000000000..b11273755
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/@jest/types/package.json
@@ -0,0 +1,66 @@
+{
+  "_args": [
+    [
+      "@jest/types@26.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "@jest/types@26.1.0",
+  "_id": "@jest/types@26.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-GXigDDsp6ZlNMhXQDeuy/iYCDsRIHJabWtDzvnn36+aqFfG14JmFV0e/iXxY4SP9vbXSiPNOWdehU5MeqrYHBQ==",
+  "_location": "/@jest/test-sequencer/@jest/types",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "@jest/types@26.1.0",
+    "name": "@jest/types",
+    "escapedName": "@jest%2ftypes",
+    "scope": "@jest",
+    "rawSpec": "26.1.0",
+    "saveSpec": null,
+    "fetchSpec": "26.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/@jest/console",
+    "/@jest/test-sequencer/@jest/test-result",
+    "/@jest/test-sequencer/jest-haste-map",
+    "/@jest/test-sequencer/jest-message-util",
+    "/@jest/test-sequencer/jest-util"
+  ],
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@types/istanbul-lib-coverage": "^2.0.0",
+    "@types/istanbul-reports": "^1.1.1",
+    "@types/yargs": "^15.0.0",
+    "chalk": "^4.0.0"
+  },
+  "devDependencies": {
+    "@types/node": "*"
+  },
+  "engines": {
+    "node": ">= 10.14.2"
+  },
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "@jest/types",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-types"
+  },
+  "types": "build/index.d.ts",
+  "version": "26.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/ansi-styles/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/index.d.ts
new file mode 100644
index 000000000..7e9b2b71b
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/index.d.ts
@@ -0,0 +1,197 @@
+import * as cssColors from 'color-name';
+
+declare namespace ansiStyles {
+	interface ColorConvert {
+		/**
+		The RGB color space.
+
+		@param red - (`0`-`255`)
+		@param green - (`0`-`255`)
+		@param blue - (`0`-`255`)
+		*/
+		rgb(red: number, green: number, blue: number): string;
+
+		/**
+		The RGB HEX color space.
+
+		@param hex - A hexadecimal string containing RGB data.
+		*/
+		hex(hex: string): string;
+
+		/**
+		@param keyword - A CSS color name.
+		*/
+		keyword(keyword: keyof typeof cssColors): string;
+
+		/**
+		The HSL color space.
+
+		@param hue - (`0`-`360`)
+		@param saturation - (`0`-`100`)
+		@param lightness - (`0`-`100`)
+		*/
+		hsl(hue: number, saturation: number, lightness: number): string;
+
+		/**
+		The HSV color space.
+
+		@param hue - (`0`-`360`)
+		@param saturation - (`0`-`100`)
+		@param value - (`0`-`100`)
+		*/
+		hsv(hue: number, saturation: number, value: number): string;
+
+		/**
+		The HSV color space.
+
+		@param hue - (`0`-`360`)
+		@param whiteness - (`0`-`100`)
+		@param blackness - (`0`-`100`)
+		*/
+		hwb(hue: number, whiteness: number, blackness: number): string;
+
+		/**
+		Use a [4-bit unsigned number](https://en.wikipedia.org/wiki/ANSI_escape_code#3/4-bit) to set text color.
+		*/
+		ansi(ansi: number): string;
+
+		/**
+		Use an [8-bit unsigned number](https://en.wikipedia.org/wiki/ANSI_escape_code#8-bit) to set text color.
+		*/
+		ansi256(ansi: number): string;
+	}
+
+	interface CSPair {
+		/**
+		The ANSI terminal control sequence for starting this style.
+		*/
+		readonly open: string;
+
+		/**
+		The ANSI terminal control sequence for ending this style.
+		*/
+		readonly close: string;
+	}
+
+	interface ColorBase {
+		readonly ansi: ColorConvert;
+		readonly ansi256: ColorConvert;
+		readonly ansi16m: ColorConvert;
+
+		/**
+		The ANSI terminal control sequence for ending this color.
+		*/
+		readonly close: string;
+	}
+
+	interface Modifier {
+		/**
+		Resets the current color chain.
+		*/
+		readonly reset: CSPair;
+
+		/**
+		Make text bold.
+		*/
+		readonly bold: CSPair;
+
+		/**
+		Emitting only a small amount of light.
+		*/
+		readonly dim: CSPair;
+
+		/**
+		Make text italic. (Not widely supported)
+		*/
+		readonly italic: CSPair;
+
+		/**
+		Make text underline. (Not widely supported)
+		*/
+		readonly underline: CSPair;
+
+		/**
+		Inverse background and foreground colors.
+		*/
+		readonly inverse: CSPair;
+
+		/**
+		Prints the text, but makes it invisible.
+		*/
+		readonly hidden: CSPair;
+
+		/**
+		Puts a horizontal line through the center of the text. (Not widely supported)
+		*/
+		readonly strikethrough: CSPair;
+	}
+
+	interface ForegroundColor {
+		readonly black: CSPair;
+		readonly red: CSPair;
+		readonly green: CSPair;
+		readonly yellow: CSPair;
+		readonly blue: CSPair;
+		readonly cyan: CSPair;
+		readonly magenta: CSPair;
+		readonly white: CSPair;
+
+		/**
+		Alias for `blackBright`.
+		*/
+		readonly gray: CSPair;
+
+		/**
+		Alias for `blackBright`.
+		*/
+		readonly grey: CSPair;
+
+		readonly blackBright: CSPair;
+		readonly redBright: CSPair;
+		readonly greenBright: CSPair;
+		readonly yellowBright: CSPair;
+		readonly blueBright: CSPair;
+		readonly cyanBright: CSPair;
+		readonly magentaBright: CSPair;
+		readonly whiteBright: CSPair;
+	}
+
+	interface BackgroundColor {
+		readonly bgBlack: CSPair;
+		readonly bgRed: CSPair;
+		readonly bgGreen: CSPair;
+		readonly bgYellow: CSPair;
+		readonly bgBlue: CSPair;
+		readonly bgCyan: CSPair;
+		readonly bgMagenta: CSPair;
+		readonly bgWhite: CSPair;
+
+		/**
+		Alias for `bgBlackBright`.
+		*/
+		readonly bgGray: CSPair;
+
+		/**
+		Alias for `bgBlackBright`.
+		*/
+		readonly bgGrey: CSPair;
+
+		readonly bgBlackBright: CSPair;
+		readonly bgRedBright: CSPair;
+		readonly bgGreenBright: CSPair;
+		readonly bgYellowBright: CSPair;
+		readonly bgBlueBright: CSPair;
+		readonly bgCyanBright: CSPair;
+		readonly bgMagentaBright: CSPair;
+		readonly bgWhiteBright: CSPair;
+	}
+}
+
+declare const ansiStyles: {
+	readonly modifier: ansiStyles.Modifier;
+	readonly color: ansiStyles.ForegroundColor & ansiStyles.ColorBase;
+	readonly bgColor: ansiStyles.BackgroundColor & ansiStyles.ColorBase;
+	readonly codes: ReadonlyMap<number, number>;
+} & ansiStyles.BackgroundColor & ansiStyles.ForegroundColor & ansiStyles.Modifier;
+
+export = ansiStyles;
diff --git a/node_modules/@jest/test-sequencer/node_modules/ansi-styles/index.js b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/index.js
new file mode 100644
index 000000000..5d82581a1
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/index.js
@@ -0,0 +1,163 @@
+'use strict';
+
+const wrapAnsi16 = (fn, offset) => (...args) => {
+	const code = fn(...args);
+	return `\u001B[${code + offset}m`;
+};
+
+const wrapAnsi256 = (fn, offset) => (...args) => {
+	const code = fn(...args);
+	return `\u001B[${38 + offset};5;${code}m`;
+};
+
+const wrapAnsi16m = (fn, offset) => (...args) => {
+	const rgb = fn(...args);
+	return `\u001B[${38 + offset};2;${rgb[0]};${rgb[1]};${rgb[2]}m`;
+};
+
+const ansi2ansi = n => n;
+const rgb2rgb = (r, g, b) => [r, g, b];
+
+const setLazyProperty = (object, property, get) => {
+	Object.defineProperty(object, property, {
+		get: () => {
+			const value = get();
+
+			Object.defineProperty(object, property, {
+				value,
+				enumerable: true,
+				configurable: true
+			});
+
+			return value;
+		},
+		enumerable: true,
+		configurable: true
+	});
+};
+
+/** @type {typeof import('color-convert')} */
+let colorConvert;
+const makeDynamicStyles = (wrap, targetSpace, identity, isBackground) => {
+	if (colorConvert === undefined) {
+		colorConvert = require('color-convert');
+	}
+
+	const offset = isBackground ? 10 : 0;
+	const styles = {};
+
+	for (const [sourceSpace, suite] of Object.entries(colorConvert)) {
+		const name = sourceSpace === 'ansi16' ? 'ansi' : sourceSpace;
+		if (sourceSpace === targetSpace) {
+			styles[name] = wrap(identity, offset);
+		} else if (typeof suite === 'object') {
+			styles[name] = wrap(suite[targetSpace], offset);
+		}
+	}
+
+	return styles;
+};
+
+function assembleStyles() {
+	const codes = new Map();
+	const styles = {
+		modifier: {
+			reset: [0, 0],
+			// 21 isn't widely supported and 22 does the same thing
+			bold: [1, 22],
+			dim: [2, 22],
+			italic: [3, 23],
+			underline: [4, 24],
+			inverse: [7, 27],
+			hidden: [8, 28],
+			strikethrough: [9, 29]
+		},
+		color: {
+			black: [30, 39],
+			red: [31, 39],
+			green: [32, 39],
+			yellow: [33, 39],
+			blue: [34, 39],
+			magenta: [35, 39],
+			cyan: [36, 39],
+			white: [37, 39],
+
+			// Bright color
+			blackBright: [90, 39],
+			redBright: [91, 39],
+			greenBright: [92, 39],
+			yellowBright: [93, 39],
+			blueBright: [94, 39],
+			magentaBright: [95, 39],
+			cyanBright: [96, 39],
+			whiteBright: [97, 39]
+		},
+		bgColor: {
+			bgBlack: [40, 49],
+			bgRed: [41, 49],
+			bgGreen: [42, 49],
+			bgYellow: [43, 49],
+			bgBlue: [44, 49],
+			bgMagenta: [45, 49],
+			bgCyan: [46, 49],
+			bgWhite: [47, 49],
+
+			// Bright color
+			bgBlackBright: [100, 49],
+			bgRedBright: [101, 49],
+			bgGreenBright: [102, 49],
+			bgYellowBright: [103, 49],
+			bgBlueBright: [104, 49],
+			bgMagentaBright: [105, 49],
+			bgCyanBright: [106, 49],
+			bgWhiteBright: [107, 49]
+		}
+	};
+
+	// Alias bright black as gray (and grey)
+	styles.color.gray = styles.color.blackBright;
+	styles.bgColor.bgGray = styles.bgColor.bgBlackBright;
+	styles.color.grey = styles.color.blackBright;
+	styles.bgColor.bgGrey = styles.bgColor.bgBlackBright;
+
+	for (const [groupName, group] of Object.entries(styles)) {
+		for (const [styleName, style] of Object.entries(group)) {
+			styles[styleName] = {
+				open: `\u001B[${style[0]}m`,
+				close: `\u001B[${style[1]}m`
+			};
+
+			group[styleName] = styles[styleName];
+
+			codes.set(style[0], style[1]);
+		}
+
+		Object.defineProperty(styles, groupName, {
+			value: group,
+			enumerable: false
+		});
+	}
+
+	Object.defineProperty(styles, 'codes', {
+		value: codes,
+		enumerable: false
+	});
+
+	styles.color.close = '\u001B[39m';
+	styles.bgColor.close = '\u001B[49m';
+
+	setLazyProperty(styles.color, 'ansi', () => makeDynamicStyles(wrapAnsi16, 'ansi16', ansi2ansi, false));
+	setLazyProperty(styles.color, 'ansi256', () => makeDynamicStyles(wrapAnsi256, 'ansi256', ansi2ansi, false));
+	setLazyProperty(styles.color, 'ansi16m', () => makeDynamicStyles(wrapAnsi16m, 'rgb', rgb2rgb, false));
+	setLazyProperty(styles.bgColor, 'ansi', () => makeDynamicStyles(wrapAnsi16, 'ansi16', ansi2ansi, true));
+	setLazyProperty(styles.bgColor, 'ansi256', () => makeDynamicStyles(wrapAnsi256, 'ansi256', ansi2ansi, true));
+	setLazyProperty(styles.bgColor, 'ansi16m', () => makeDynamicStyles(wrapAnsi16m, 'rgb', rgb2rgb, true));
+
+	return styles;
+}
+
+// Make the export immutable
+Object.defineProperty(module, 'exports', {
+	enumerable: true,
+	get: assembleStyles
+});
diff --git a/node_modules/@jest/test-sequencer/node_modules/ansi-styles/license b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/license
new file mode 100644
index 000000000..e7af2f771
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/license
@@ -0,0 +1,9 @@
+MIT License
+
+Copyright (c) Sindre Sorhus <sindresorhus@gmail.com> (sindresorhus.com)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/ansi-styles/package.json b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/package.json
new file mode 100644
index 000000000..f12108066
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/package.json
@@ -0,0 +1,93 @@
+{
+  "_args": [
+    [
+      "ansi-styles@4.2.1",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "ansi-styles@4.2.1",
+  "_id": "ansi-styles@4.2.1",
+  "_inBundle": false,
+  "_integrity": "sha512-9VGjrMsG1vePxcSweQsN20KY/c4zN0h9fLjqAbwbPfahM3t+NL+M9HC8xeXG2I8pX5NoamTGNuomEUFI7fcUjA==",
+  "_location": "/@jest/test-sequencer/ansi-styles",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "ansi-styles@4.2.1",
+    "name": "ansi-styles",
+    "escapedName": "ansi-styles",
+    "rawSpec": "4.2.1",
+    "saveSpec": null,
+    "fetchSpec": "4.2.1"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/chalk"
+  ],
+  "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
+  "_spec": "4.2.1",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Sindre Sorhus",
+    "email": "sindresorhus@gmail.com",
+    "url": "sindresorhus.com"
+  },
+  "bugs": {
+    "url": "https://github.com/chalk/ansi-styles/issues"
+  },
+  "dependencies": {
+    "@types/color-name": "^1.1.1",
+    "color-convert": "^2.0.1"
+  },
+  "description": "ANSI escape codes for styling strings in the terminal",
+  "devDependencies": {
+    "@types/color-convert": "^1.9.0",
+    "ava": "^2.3.0",
+    "svg-term-cli": "^2.1.1",
+    "tsd": "^0.11.0",
+    "xo": "^0.25.3"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "index.js",
+    "index.d.ts"
+  ],
+  "funding": "https://github.com/chalk/ansi-styles?sponsor=1",
+  "homepage": "https://github.com/chalk/ansi-styles#readme",
+  "keywords": [
+    "ansi",
+    "styles",
+    "color",
+    "colour",
+    "colors",
+    "terminal",
+    "console",
+    "cli",
+    "string",
+    "tty",
+    "escape",
+    "formatting",
+    "rgb",
+    "256",
+    "shell",
+    "xterm",
+    "log",
+    "logging",
+    "command-line",
+    "text"
+  ],
+  "license": "MIT",
+  "name": "ansi-styles",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/chalk/ansi-styles.git"
+  },
+  "scripts": {
+    "screenshot": "svg-term --command='node screenshot' --out=screenshot.svg --padding=3 --width=55 --height=3 --at=1000 --no-cursor",
+    "test": "xo && ava && tsd"
+  },
+  "version": "4.2.1"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/ansi-styles/readme.md b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/readme.md
new file mode 100644
index 000000000..2a1ef6546
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/ansi-styles/readme.md
@@ -0,0 +1,158 @@
+# ansi-styles [![Build Status](https://travis-ci.org/chalk/ansi-styles.svg?branch=master)](https://travis-ci.org/chalk/ansi-styles)
+
+> [ANSI escape codes](https://en.wikipedia.org/wiki/ANSI_escape_code#Colors_and_Styles) for styling strings in the terminal
+
+You probably want the higher-level [chalk](https://github.com/chalk/chalk) module for styling your strings.
+
+<img src="screenshot.svg" width="900">
+
+## Install
+
+```
+$ npm install ansi-styles
+```
+
+## Usage
+
+```js
+const style = require('ansi-styles');
+
+console.log(`${style.green.open}Hello world!${style.green.close}`);
+
+
+// Color conversion between 16/256/truecolor
+// NOTE: If conversion goes to 16 colors or 256 colors, the original color
+//       may be degraded to fit that color palette. This means terminals
+//       that do not support 16 million colors will best-match the
+//       original color.
+console.log(style.bgColor.ansi.hsl(120, 80, 72) + 'Hello world!' + style.bgColor.close);
+console.log(style.color.ansi256.rgb(199, 20, 250) + 'Hello world!' + style.color.close);
+console.log(style.color.ansi16m.hex('#abcdef') + 'Hello world!' + style.color.close);
+```
+
+## API
+
+Each style has an `open` and `close` property.
+
+## Styles
+
+### Modifiers
+
+- `reset`
+- `bold`
+- `dim`
+- `italic` *(Not widely supported)*
+- `underline`
+- `inverse`
+- `hidden`
+- `strikethrough` *(Not widely supported)*
+
+### Colors
+
+- `black`
+- `red`
+- `green`
+- `yellow`
+- `blue`
+- `magenta`
+- `cyan`
+- `white`
+- `blackBright` (alias: `gray`, `grey`)
+- `redBright`
+- `greenBright`
+- `yellowBright`
+- `blueBright`
+- `magentaBright`
+- `cyanBright`
+- `whiteBright`
+
+### Background colors
+
+- `bgBlack`
+- `bgRed`
+- `bgGreen`
+- `bgYellow`
+- `bgBlue`
+- `bgMagenta`
+- `bgCyan`
+- `bgWhite`
+- `bgBlackBright` (alias: `bgGray`, `bgGrey`)
+- `bgRedBright`
+- `bgGreenBright`
+- `bgYellowBright`
+- `bgBlueBright`
+- `bgMagentaBright`
+- `bgCyanBright`
+- `bgWhiteBright`
+
+## Advanced usage
+
+By default, you get a map of styles, but the styles are also available as groups. They are non-enumerable so they don't show up unless you access them explicitly. This makes it easier to expose only a subset in a higher-level module.
+
+- `style.modifier`
+- `style.color`
+- `style.bgColor`
+
+###### Example
+
+```js
+console.log(style.color.green.open);
+```
+
+Raw escape codes (i.e. without the CSI escape prefix `\u001B[` and render mode postfix `m`) are available under `style.codes`, which returns a `Map` with the open codes as keys and close codes as values.
+
+###### Example
+
+```js
+console.log(style.codes.get(36));
+//=> 39
+```
+
+## [256 / 16 million (TrueColor) support](https://gist.github.com/XVilka/8346728)
+
+`ansi-styles` uses the [`color-convert`](https://github.com/Qix-/color-convert) package to allow for converting between various colors and ANSI escapes, with support for 256 and 16 million colors.
+
+The following color spaces from `color-convert` are supported:
+
+- `rgb`
+- `hex`
+- `keyword`
+- `hsl`
+- `hsv`
+- `hwb`
+- `ansi`
+- `ansi256`
+
+To use these, call the associated conversion function with the intended output, for example:
+
+```js
+style.color.ansi.rgb(100, 200, 15); // RGB to 16 color ansi foreground code
+style.bgColor.ansi.rgb(100, 200, 15); // RGB to 16 color ansi background code
+
+style.color.ansi256.hsl(120, 100, 60); // HSL to 256 color ansi foreground code
+style.bgColor.ansi256.hsl(120, 100, 60); // HSL to 256 color ansi foreground code
+
+style.color.ansi16m.hex('#C0FFEE'); // Hex (RGB) to 16 million color foreground code
+style.bgColor.ansi16m.hex('#C0FFEE'); // Hex (RGB) to 16 million color background code
+```
+
+## Related
+
+- [ansi-escapes](https://github.com/sindresorhus/ansi-escapes) - ANSI escape codes for manipulating the terminal
+
+## Maintainers
+
+- [Sindre Sorhus](https://github.com/sindresorhus)
+- [Josh Junon](https://github.com/qix-)
+
+---
+
+<div align="center">
+	<b>
+		<a href="https://tidelift.com/subscription/pkg/npm-ansi-styles?utm_source=npm-ansi-styles&utm_medium=referral&utm_campaign=readme">Get professional support for this package with a Tidelift subscription</a>
+	</b>
+	<br>
+	<sub>
+		Tidelift helps make open source sustainable for maintainers while giving companies<br>assurances about security, maintenance, and licensing for their dependencies.
+	</sub>
+</div>
diff --git a/node_modules/@jest/test-sequencer/node_modules/anymatch/LICENSE b/node_modules/@jest/test-sequencer/node_modules/anymatch/LICENSE
new file mode 100644
index 000000000..491766ca7
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/anymatch/LICENSE
@@ -0,0 +1,15 @@
+The ISC License
+
+Copyright (c) 2019 Elan Shanker, Paul Miller (https://paulmillr.com)
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted, provided that the above
+copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
+WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
+MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
+ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
+IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/anymatch/README.md b/node_modules/@jest/test-sequencer/node_modules/anymatch/README.md
new file mode 100644
index 000000000..1dd67f534
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/anymatch/README.md
@@ -0,0 +1,87 @@
+anymatch [![Build Status](https://travis-ci.org/micromatch/anymatch.svg?branch=master)](https://travis-ci.org/micromatch/anymatch) [![Coverage Status](https://img.shields.io/coveralls/micromatch/anymatch.svg?branch=master)](https://coveralls.io/r/micromatch/anymatch?branch=master)
+======
+Javascript module to match a string against a regular expression, glob, string,
+or function that takes the string as an argument and returns a truthy or falsy
+value. The matcher can also be an array of any or all of these. Useful for
+allowing a very flexible user-defined config to define things like file paths.
+
+__Note: This module has Bash-parity, please be aware that Windows-style backslashes are not supported as separators. See https://github.com/micromatch/micromatch#backslashes for more information.__
+
+
+Usage
+-----
+```sh
+npm install anymatch
+```
+
+#### anymatch(matchers, testString, [returnIndex], [options])
+* __matchers__: (_Array|String|RegExp|Function_)
+String to be directly matched, string with glob patterns, regular expression
+test, function that takes the testString as an argument and returns a truthy
+value if it should be matched, or an array of any number and mix of these types.
+* __testString__: (_String|Array_) The string to test against the matchers. If
+passed as an array, the first element of the array will be used as the
+`testString` for non-function matchers, while the entire array will be applied
+as the arguments for function matchers.
+* __options__: (_Object_ [optional]_) Any of the [picomatch](https://github.com/micromatch/picomatch#options) options.
+    * __returnIndex__: (_Boolean [optional]_) If true, return the array index of
+the first matcher that that testString matched, or -1 if no match, instead of a
+boolean result.
+
+```js
+const anymatch = require('anymatch');
+
+const matchers = [ 'path/to/file.js', 'path/anyjs/**/*.js', /foo.js$/, string => string.includes('bar') && string.length > 10 ] ;
+
+anymatch(matchers, 'path/to/file.js'); // true
+anymatch(matchers, 'path/anyjs/baz.js'); // true
+anymatch(matchers, 'path/to/foo.js'); // true
+anymatch(matchers, 'path/to/bar.js'); // true
+anymatch(matchers, 'bar.js'); // false
+
+// returnIndex = true
+anymatch(matchers, 'foo.js', {returnIndex: true}); // 2
+anymatch(matchers, 'path/anyjs/foo.js', {returnIndex: true}); // 1
+
+// any picomatc
+
+// using globs to match directories and their children
+anymatch('node_modules', 'node_modules'); // true
+anymatch('node_modules', 'node_modules/somelib/index.js'); // false
+anymatch('node_modules/**', 'node_modules/somelib/index.js'); // true
+anymatch('node_modules/**', '/absolute/path/to/node_modules/somelib/index.js'); // false
+anymatch('**/node_modules/**', '/absolute/path/to/node_modules/somelib/index.js'); // true
+
+const matcher = anymatch(matchers);
+['foo.js', 'bar.js'].filter(matcher);  // [ 'foo.js' ]
+anymatch master* ❯
+
+```
+
+#### anymatch(matchers)
+You can also pass in only your matcher(s) to get a curried function that has
+already been bound to the provided matching criteria. This can be used as an
+`Array#filter` callback.
+
+```js
+var matcher = anymatch(matchers);
+
+matcher('path/to/file.js'); // true
+matcher('path/anyjs/baz.js', true); // 1
+
+['foo.js', 'bar.js'].filter(matcher); // ['foo.js']
+```
+
+Changelog
+----------
+[See release notes page on GitHub](https://github.com/micromatch/anymatch/releases)
+
+- **v3.0:** Removed `startIndex` and `endIndex` arguments. Node 8.x-only.
+- **v2.0:** [micromatch](https://github.com/jonschlinkert/micromatch) moves away from minimatch-parity and inline with Bash. This includes handling backslashes differently (see https://github.com/micromatch/micromatch#backslashes for more information).
+- **v1.2:** anymatch uses [micromatch](https://github.com/jonschlinkert/micromatch)
+for glob pattern matching. Issues with glob pattern matching should be
+reported directly to the [micromatch issue tracker](https://github.com/jonschlinkert/micromatch/issues).
+
+License
+-------
+[ISC](https://raw.github.com/micromatch/anymatch/master/LICENSE)
diff --git a/node_modules/@jest/test-sequencer/node_modules/anymatch/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/anymatch/index.d.ts
new file mode 100644
index 000000000..196d06178
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/anymatch/index.d.ts
@@ -0,0 +1,19 @@
+type AnymatchFn = (testString: string) => boolean;
+type AnymatchPattern = string|RegExp|AnymatchFn;
+type AnymatchMatcher = AnymatchPattern|AnymatchPattern[]
+type AnymatchTester = {
+  (testString: string|any[], returnIndex: true): number;
+  (testString: string|any[]): boolean;
+}
+
+type PicomatchOptions = {dot: boolean};
+
+declare const anymatch: {
+  (matchers: AnymatchMatcher): AnymatchTester;
+  (matchers: AnymatchMatcher, testString: string|any[], returnIndex: true | PicomatchOptions): number;
+  (matchers: AnymatchMatcher, testString: string|any[]): boolean;
+}
+
+export {AnymatchMatcher as Matcher}
+export {AnymatchTester as Tester}
+export default anymatch
diff --git a/node_modules/@jest/test-sequencer/node_modules/anymatch/index.js b/node_modules/@jest/test-sequencer/node_modules/anymatch/index.js
new file mode 100644
index 000000000..24529c8a4
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/anymatch/index.js
@@ -0,0 +1,102 @@
+'use strict';
+
+Object.defineProperty(exports, "__esModule", { value: true });
+
+const picomatch = require('picomatch');
+const normalizePath = require('normalize-path');
+
+/**
+ * @typedef {(testString: string) => boolean} AnymatchFn
+ * @typedef {string|RegExp|AnymatchFn} AnymatchPattern
+ * @typedef {AnymatchPattern|AnymatchPattern[]} AnymatchMatcher
+ */
+const BANG = '!';
+const DEFAULT_OPTIONS = {returnIndex: false};
+const arrify = (item) => Array.isArray(item) ? item : [item];
+
+/**
+ * @param {AnymatchPattern} matcher
+ * @param {object} options
+ * @returns {AnymatchFn}
+ */
+const createPattern = (matcher, options) => {
+  if (typeof matcher === 'function') {
+    return matcher;
+  }
+  if (typeof matcher === 'string') {
+    const glob = picomatch(matcher, options);
+    return (string) => matcher === string || glob(string);
+  }
+  if (matcher instanceof RegExp) {
+    return (string) => matcher.test(string);
+  }
+  return (string) => false;
+};
+
+/**
+ * @param {Array<Function>} patterns
+ * @param {Array<Function>} negPatterns
+ * @param {String|Array} args
+ * @param {Boolean} returnIndex
+ * @returns {boolean|number}
+ */
+const matchPatterns = (patterns, negPatterns, args, returnIndex) => {
+  const isList = Array.isArray(args);
+  const _path = isList ? args[0] : args;
+  if (!isList && typeof _path !== 'string') {
+    throw new TypeError('anymatch: second argument must be a string: got ' +
+      Object.prototype.toString.call(_path))
+  }
+  const path = normalizePath(_path);
+
+  for (let index = 0; index < negPatterns.length; index++) {
+    const nglob = negPatterns[index];
+    if (nglob(path)) {
+      return returnIndex ? -1 : false;
+    }
+  }
+
+  const applied = isList && [path].concat(args.slice(1));
+  for (let index = 0; index < patterns.length; index++) {
+    const pattern = patterns[index];
+    if (isList ? pattern(...applied) : pattern(path)) {
+      return returnIndex ? index : true;
+    }
+  }
+
+  return returnIndex ? -1 : false;
+};
+
+/**
+ * @param {AnymatchMatcher} matchers
+ * @param {Array|string} testString
+ * @param {object} options
+ * @returns {boolean|number|Function}
+ */
+const anymatch = (matchers, testString, options = DEFAULT_OPTIONS) => {
+  if (matchers == null) {
+    throw new TypeError('anymatch: specify first argument');
+  }
+  const opts = typeof options === 'boolean' ? {returnIndex: options} : options;
+  const returnIndex = opts.returnIndex || false;
+
+  // Early cache for matchers.
+  const mtchers = arrify(matchers);
+  const negatedGlobs = mtchers
+    .filter(item => typeof item === 'string' && item.charAt(0) === BANG)
+    .map(item => item.slice(1))
+    .map(item => picomatch(item, opts));
+  const patterns = mtchers.map(matcher => createPattern(matcher, opts));
+
+  if (testString == null) {
+    return (testString, ri = false) => {
+      const returnIndex = typeof ri === 'boolean' ? ri : false;
+      return matchPatterns(patterns, negatedGlobs, testString, returnIndex);
+    }
+  }
+
+  return matchPatterns(patterns, negatedGlobs, testString, returnIndex);
+};
+
+anymatch.default = anymatch;
+module.exports = anymatch;
diff --git a/node_modules/@jest/test-sequencer/node_modules/anymatch/package.json b/node_modules/@jest/test-sequencer/node_modules/anymatch/package.json
new file mode 100644
index 000000000..96b475ccb
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/anymatch/package.json
@@ -0,0 +1,80 @@
+{
+  "_args": [
+    [
+      "anymatch@3.1.1",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "anymatch@3.1.1",
+  "_id": "anymatch@3.1.1",
+  "_inBundle": false,
+  "_integrity": "sha512-mM8522psRCqzV+6LhomX5wgp25YVibjh8Wj23I5RPkPppSVSjyKD2A2mBJmWGa+KN7f2D6LNh9jkBCeyLktzjg==",
+  "_location": "/@jest/test-sequencer/anymatch",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "anymatch@3.1.1",
+    "name": "anymatch",
+    "escapedName": "anymatch",
+    "rawSpec": "3.1.1",
+    "saveSpec": null,
+    "fetchSpec": "3.1.1"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/jest-haste-map"
+  ],
+  "_resolved": "https://registry.npmjs.org/anymatch/-/anymatch-3.1.1.tgz",
+  "_spec": "3.1.1",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Elan Shanker",
+    "url": "https://github.com/es128"
+  },
+  "bugs": {
+    "url": "https://github.com/micromatch/anymatch/issues"
+  },
+  "dependencies": {
+    "normalize-path": "^3.0.0",
+    "picomatch": "^2.0.4"
+  },
+  "description": "Matches strings against configurable strings, globs, regular expressions, and/or functions",
+  "devDependencies": {
+    "mocha": "^6.1.3",
+    "nyc": "^14.0.0"
+  },
+  "engines": {
+    "node": ">= 8"
+  },
+  "files": [
+    "index.js",
+    "index.d.ts"
+  ],
+  "homepage": "https://github.com/micromatch/anymatch",
+  "keywords": [
+    "match",
+    "any",
+    "string",
+    "file",
+    "fs",
+    "list",
+    "glob",
+    "regex",
+    "regexp",
+    "regular",
+    "expression",
+    "function"
+  ],
+  "license": "ISC",
+  "name": "anymatch",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/micromatch/anymatch.git"
+  },
+  "scripts": {
+    "mocha": "mocha",
+    "test": "nyc mocha"
+  },
+  "version": "3.1.1"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/chalk/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/chalk/index.d.ts
new file mode 100644
index 000000000..9cd88f38b
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/chalk/index.d.ts
@@ -0,0 +1,415 @@
+/**
+Basic foreground colors.
+
+[More colors here.](https://github.com/chalk/chalk/blob/master/readme.md#256-and-truecolor-color-support)
+*/
+declare type ForegroundColor =
+	| 'black'
+	| 'red'
+	| 'green'
+	| 'yellow'
+	| 'blue'
+	| 'magenta'
+	| 'cyan'
+	| 'white'
+	| 'gray'
+	| 'grey'
+	| 'blackBright'
+	| 'redBright'
+	| 'greenBright'
+	| 'yellowBright'
+	| 'blueBright'
+	| 'magentaBright'
+	| 'cyanBright'
+	| 'whiteBright';
+
+/**
+Basic background colors.
+
+[More colors here.](https://github.com/chalk/chalk/blob/master/readme.md#256-and-truecolor-color-support)
+*/
+declare type BackgroundColor =
+	| 'bgBlack'
+	| 'bgRed'
+	| 'bgGreen'
+	| 'bgYellow'
+	| 'bgBlue'
+	| 'bgMagenta'
+	| 'bgCyan'
+	| 'bgWhite'
+	| 'bgGray'
+	| 'bgGrey'
+	| 'bgBlackBright'
+	| 'bgRedBright'
+	| 'bgGreenBright'
+	| 'bgYellowBright'
+	| 'bgBlueBright'
+	| 'bgMagentaBright'
+	| 'bgCyanBright'
+	| 'bgWhiteBright';
+
+/**
+Basic colors.
+
+[More colors here.](https://github.com/chalk/chalk/blob/master/readme.md#256-and-truecolor-color-support)
+*/
+declare type Color = ForegroundColor | BackgroundColor;
+
+declare type Modifiers =
+	| 'reset'
+	| 'bold'
+	| 'dim'
+	| 'italic'
+	| 'underline'
+	| 'inverse'
+	| 'hidden'
+	| 'strikethrough'
+	| 'visible';
+
+declare namespace chalk {
+	/**
+	Levels:
+	- `0` - All colors disabled.
+	- `1` - Basic 16 colors support.
+	- `2` - ANSI 256 colors support.
+	- `3` - Truecolor 16 million colors support.
+	*/
+	type Level = 0 | 1 | 2 | 3;
+
+	interface Options {
+		/**
+		Specify the color support for Chalk.
+
+		By default, color support is automatically detected based on the environment.
+
+		Levels:
+		- `0` - All colors disabled.
+		- `1` - Basic 16 colors support.
+		- `2` - ANSI 256 colors support.
+		- `3` - Truecolor 16 million colors support.
+		*/
+		level?: Level;
+	}
+
+	/**
+	Return a new Chalk instance.
+	*/
+	type Instance = new (options?: Options) => Chalk;
+
+	/**
+	Detect whether the terminal supports color.
+	*/
+	interface ColorSupport {
+		/**
+		The color level used by Chalk.
+		*/
+		level: Level;
+
+		/**
+		Return whether Chalk supports basic 16 colors.
+		*/
+		hasBasic: boolean;
+
+		/**
+		Return whether Chalk supports ANSI 256 colors.
+		*/
+		has256: boolean;
+
+		/**
+		Return whether Chalk supports Truecolor 16 million colors.
+		*/
+		has16m: boolean;
+	}
+
+	interface ChalkFunction {
+		/**
+		Use a template string.
+
+		@remarks Template literals are unsupported for nested calls (see [issue #341](https://github.com/chalk/chalk/issues/341))
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		log(chalk`
+		CPU: {red ${cpu.totalPercent}%}
+		RAM: {green ${ram.used / ram.total * 100}%}
+		DISK: {rgb(255,131,0) ${disk.used / disk.total * 100}%}
+		`);
+		```
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		log(chalk.red.bgBlack`2 + 3 = {bold ${2 + 3}}`)
+		```
+		*/
+		(text: TemplateStringsArray, ...placeholders: unknown[]): string;
+
+		(...text: unknown[]): string;
+	}
+
+	interface Chalk extends ChalkFunction {
+		/**
+		Return a new Chalk instance.
+		*/
+		Instance: Instance;
+
+		/**
+		The color support for Chalk.
+
+		By default, color support is automatically detected based on the environment.
+
+		Levels:
+		- `0` - All colors disabled.
+		- `1` - Basic 16 colors support.
+		- `2` - ANSI 256 colors support.
+		- `3` - Truecolor 16 million colors support.
+		*/
+		level: Level;
+
+		/**
+		Use HEX value to set text color.
+
+		@param color - Hexadecimal value representing the desired color.
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		chalk.hex('#DEADED');
+		```
+		*/
+		hex(color: string): Chalk;
+
+		/**
+		Use keyword color value to set text color.
+
+		@param color - Keyword value representing the desired color.
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		chalk.keyword('orange');
+		```
+		*/
+		keyword(color: string): Chalk;
+
+		/**
+		Use RGB values to set text color.
+		*/
+		rgb(red: number, green: number, blue: number): Chalk;
+
+		/**
+		Use HSL values to set text color.
+		*/
+		hsl(hue: number, saturation: number, lightness: number): Chalk;
+
+		/**
+		Use HSV values to set text color.
+		*/
+		hsv(hue: number, saturation: number, value: number): Chalk;
+
+		/**
+		Use HWB values to set text color.
+		*/
+		hwb(hue: number, whiteness: number, blackness: number): Chalk;
+
+		/**
+		Use a [Select/Set Graphic Rendition](https://en.wikipedia.org/wiki/ANSI_escape_code#SGR_parameters) (SGR) [color code number](https://en.wikipedia.org/wiki/ANSI_escape_code#3/4_bit) to set text color.
+
+		30 <= code && code < 38 || 90 <= code && code < 98
+		For example, 31 for red, 91 for redBright.
+		*/
+		ansi(code: number): Chalk;
+
+		/**
+		Use a [8-bit unsigned number](https://en.wikipedia.org/wiki/ANSI_escape_code#8-bit) to set text color.
+		*/
+		ansi256(index: number): Chalk;
+
+		/**
+		Use HEX value to set background color.
+
+		@param color - Hexadecimal value representing the desired color.
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		chalk.bgHex('#DEADED');
+		```
+		*/
+		bgHex(color: string): Chalk;
+
+		/**
+		Use keyword color value to set background color.
+
+		@param color - Keyword value representing the desired color.
+
+		@example
+		```
+		import chalk = require('chalk');
+
+		chalk.bgKeyword('orange');
+		```
+		*/
+		bgKeyword(color: string): Chalk;
+
+		/**
+		Use RGB values to set background color.
+		*/
+		bgRgb(red: number, green: number, blue: number): Chalk;
+
+		/**
+		Use HSL values to set background color.
+		*/
+		bgHsl(hue: number, saturation: number, lightness: number): Chalk;
+
+		/**
+		Use HSV values to set background color.
+		*/
+		bgHsv(hue: number, saturation: number, value: number): Chalk;
+
+		/**
+		Use HWB values to set background color.
+		*/
+		bgHwb(hue: number, whiteness: number, blackness: number): Chalk;
+
+		/**
+		Use a [Select/Set Graphic Rendition](https://en.wikipedia.org/wiki/ANSI_escape_code#SGR_parameters) (SGR) [color code number](https://en.wikipedia.org/wiki/ANSI_escape_code#3/4_bit) to set background color.
+
+		30 <= code && code < 38 || 90 <= code && code < 98
+		For example, 31 for red, 91 for redBright.
+		Use the foreground code, not the background code (for example, not 41, nor 101).
+		*/
+		bgAnsi(code: number): Chalk;
+
+		/**
+		Use a [8-bit unsigned number](https://en.wikipedia.org/wiki/ANSI_escape_code#8-bit) to set background color.
+		*/
+		bgAnsi256(index: number): Chalk;
+
+		/**
+		Modifier: Resets the current color chain.
+		*/
+		readonly reset: Chalk;
+
+		/**
+		Modifier: Make text bold.
+		*/
+		readonly bold: Chalk;
+
+		/**
+		Modifier: Emitting only a small amount of light.
+		*/
+		readonly dim: Chalk;
+
+		/**
+		Modifier: Make text italic. (Not widely supported)
+		*/
+		readonly italic: Chalk;
+
+		/**
+		Modifier: Make text underline. (Not widely supported)
+		*/
+		readonly underline: Chalk;
+
+		/**
+		Modifier: Inverse background and foreground colors.
+		*/
+		readonly inverse: Chalk;
+
+		/**
+		Modifier: Prints the text, but makes it invisible.
+		*/
+		readonly hidden: Chalk;
+
+		/**
+		Modifier: Puts a horizontal line through the center of the text. (Not widely supported)
+		*/
+		readonly strikethrough: Chalk;
+
+		/**
+		Modifier: Prints the text only when Chalk has a color support level > 0.
+		Can be useful for things that are purely cosmetic.
+		*/
+		readonly visible: Chalk;
+
+		readonly black: Chalk;
+		readonly red: Chalk;
+		readonly green: Chalk;
+		readonly yellow: Chalk;
+		readonly blue: Chalk;
+		readonly magenta: Chalk;
+		readonly cyan: Chalk;
+		readonly white: Chalk;
+
+		/*
+		Alias for `blackBright`.
+		*/
+		readonly gray: Chalk;
+
+		/*
+		Alias for `blackBright`.
+		*/
+		readonly grey: Chalk;
+
+		readonly blackBright: Chalk;
+		readonly redBright: Chalk;
+		readonly greenBright: Chalk;
+		readonly yellowBright: Chalk;
+		readonly blueBright: Chalk;
+		readonly magentaBright: Chalk;
+		readonly cyanBright: Chalk;
+		readonly whiteBright: Chalk;
+
+		readonly bgBlack: Chalk;
+		readonly bgRed: Chalk;
+		readonly bgGreen: Chalk;
+		readonly bgYellow: Chalk;
+		readonly bgBlue: Chalk;
+		readonly bgMagenta: Chalk;
+		readonly bgCyan: Chalk;
+		readonly bgWhite: Chalk;
+
+		/*
+		Alias for `bgBlackBright`.
+		*/
+		readonly bgGray: Chalk;
+
+		/*
+		Alias for `bgBlackBright`.
+		*/
+		readonly bgGrey: Chalk;
+
+		readonly bgBlackBright: Chalk;
+		readonly bgRedBright: Chalk;
+		readonly bgGreenBright: Chalk;
+		readonly bgYellowBright: Chalk;
+		readonly bgBlueBright: Chalk;
+		readonly bgMagentaBright: Chalk;
+		readonly bgCyanBright: Chalk;
+		readonly bgWhiteBright: Chalk;
+	}
+}
+
+/**
+Main Chalk object that allows to chain styles together.
+Call the last one as a method with a string argument.
+Order doesn't matter, and later styles take precedent in case of a conflict.
+This simply means that `chalk.red.yellow.green` is equivalent to `chalk.green`.
+*/
+declare const chalk: chalk.Chalk & chalk.ChalkFunction & {
+	supportsColor: chalk.ColorSupport | false;
+	Level: chalk.Level;
+	Color: Color;
+	ForegroundColor: ForegroundColor;
+	BackgroundColor: BackgroundColor;
+	Modifiers: Modifiers;
+	stderr: chalk.Chalk & {supportsColor: chalk.ColorSupport | false};
+};
+
+export = chalk;
diff --git a/node_modules/@jest/test-sequencer/node_modules/chalk/license b/node_modules/@jest/test-sequencer/node_modules/chalk/license
new file mode 100644
index 000000000..e7af2f771
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/chalk/license
@@ -0,0 +1,9 @@
+MIT License
+
+Copyright (c) Sindre Sorhus <sindresorhus@gmail.com> (sindresorhus.com)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/chalk/package.json b/node_modules/@jest/test-sequencer/node_modules/chalk/package.json
new file mode 100644
index 000000000..8a439fcb1
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/chalk/package.json
@@ -0,0 +1,107 @@
+{
+  "_args": [
+    [
+      "chalk@4.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "chalk@4.1.0",
+  "_id": "chalk@4.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-qwx12AxXe2Q5xQ43Ac//I6v5aXTipYrSESdOgzrN+9XjgEpyjpKuvSGaN4qE93f7TQTlerQQ8S+EQ0EyDoVL1A==",
+  "_location": "/@jest/test-sequencer/chalk",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "chalk@4.1.0",
+    "name": "chalk",
+    "escapedName": "chalk",
+    "rawSpec": "4.1.0",
+    "saveSpec": null,
+    "fetchSpec": "4.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/@jest/console",
+    "/@jest/test-sequencer/@jest/types",
+    "/@jest/test-sequencer/jest-message-util",
+    "/@jest/test-sequencer/jest-util"
+  ],
+  "_resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.0.tgz",
+  "_spec": "4.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/chalk/chalk/issues"
+  },
+  "dependencies": {
+    "ansi-styles": "^4.1.0",
+    "supports-color": "^7.1.0"
+  },
+  "description": "Terminal string styling done right",
+  "devDependencies": {
+    "ava": "^2.4.0",
+    "coveralls": "^3.0.7",
+    "execa": "^4.0.0",
+    "import-fresh": "^3.1.0",
+    "matcha": "^0.7.0",
+    "nyc": "^15.0.0",
+    "resolve-from": "^5.0.0",
+    "tsd": "^0.7.4",
+    "xo": "^0.28.2"
+  },
+  "engines": {
+    "node": ">=10"
+  },
+  "files": [
+    "source",
+    "index.d.ts"
+  ],
+  "funding": "https://github.com/chalk/chalk?sponsor=1",
+  "homepage": "https://github.com/chalk/chalk#readme",
+  "keywords": [
+    "color",
+    "colour",
+    "colors",
+    "terminal",
+    "console",
+    "cli",
+    "string",
+    "str",
+    "ansi",
+    "style",
+    "styles",
+    "tty",
+    "formatting",
+    "rgb",
+    "256",
+    "shell",
+    "xterm",
+    "log",
+    "logging",
+    "command-line",
+    "text"
+  ],
+  "license": "MIT",
+  "main": "source",
+  "name": "chalk",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/chalk/chalk.git"
+  },
+  "scripts": {
+    "bench": "matcha benchmark.js",
+    "test": "xo && nyc ava && tsd"
+  },
+  "version": "4.1.0",
+  "xo": {
+    "rules": {
+      "unicorn/prefer-string-slice": "off",
+      "unicorn/prefer-includes": "off",
+      "@typescript-eslint/member-ordering": "off",
+      "no-redeclare": "off",
+      "unicorn/string-content": "off",
+      "unicorn/better-regex": "off"
+    }
+  }
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/chalk/readme.md b/node_modules/@jest/test-sequencer/node_modules/chalk/readme.md
new file mode 100644
index 000000000..338f42cb8
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/chalk/readme.md
@@ -0,0 +1,293 @@
+<h1 align="center">
+	<br>
+	<br>
+	<img width="320" src="media/logo.svg" alt="Chalk">
+	<br>
+	<br>
+	<br>
+</h1>
+
+> Terminal string styling done right
+
+[![Build Status](https://travis-ci.org/chalk/chalk.svg?branch=master)](https://travis-ci.org/chalk/chalk) [![Coverage Status](https://coveralls.io/repos/github/chalk/chalk/badge.svg?branch=master)](https://coveralls.io/github/chalk/chalk?branch=master) [![npm dependents](https://badgen.net/npm/dependents/chalk)](https://www.npmjs.com/package/chalk?activeTab=dependents) [![Downloads](https://badgen.net/npm/dt/chalk)](https://www.npmjs.com/package/chalk) [![](https://img.shields.io/badge/unicorn-approved-ff69b4.svg)](https://www.youtube.com/watch?v=9auOCbH5Ns4) [![XO code style](https://img.shields.io/badge/code_style-XO-5ed9c7.svg)](https://github.com/xojs/xo) ![TypeScript-ready](https://img.shields.io/npm/types/chalk.svg) [![run on repl.it](https://repl.it/badge/github/chalk/chalk)](https://repl.it/github/chalk/chalk)
+
+<img src="https://cdn.jsdelivr.net/gh/chalk/ansi-styles@8261697c95bf34b6c7767e2cbe9941a851d59385/screenshot.svg" width="900">
+
+## Highlights
+
+- Expressive API
+- Highly performant
+- Ability to nest styles
+- [256/Truecolor color support](#256-and-truecolor-color-support)
+- Auto-detects color support
+- Doesn't extend `String.prototype`
+- Clean and focused
+- Actively maintained
+- [Used by ~50,000 packages](https://www.npmjs.com/browse/depended/chalk) as of January 1, 2020
+
+## Install
+
+```console
+$ npm install chalk
+```
+
+## Usage
+
+```js
+const chalk = require('chalk');
+
+console.log(chalk.blue('Hello world!'));
+```
+
+Chalk comes with an easy to use composable API where you just chain and nest the styles you want.
+
+```js
+const chalk = require('chalk');
+const log = console.log;
+
+// Combine styled and normal strings
+log(chalk.blue('Hello') + ' World' + chalk.red('!'));
+
+// Compose multiple styles using the chainable API
+log(chalk.blue.bgRed.bold('Hello world!'));
+
+// Pass in multiple arguments
+log(chalk.blue('Hello', 'World!', 'Foo', 'bar', 'biz', 'baz'));
+
+// Nest styles
+log(chalk.red('Hello', chalk.underline.bgBlue('world') + '!'));
+
+// Nest styles of the same type even (color, underline, background)
+log(chalk.green(
+	'I am a green line ' +
+	chalk.blue.underline.bold('with a blue substring') +
+	' that becomes green again!'
+));
+
+// ES2015 template literal
+log(`
+CPU: ${chalk.red('90%')}
+RAM: ${chalk.green('40%')}
+DISK: ${chalk.yellow('70%')}
+`);
+
+// ES2015 tagged template literal
+log(chalk`
+CPU: {red ${cpu.totalPercent}%}
+RAM: {green ${ram.used / ram.total * 100}%}
+DISK: {rgb(255,131,0) ${disk.used / disk.total * 100}%}
+`);
+
+// Use RGB colors in terminal emulators that support it.
+log(chalk.keyword('orange')('Yay for orange colored text!'));
+log(chalk.rgb(123, 45, 67).underline('Underlined reddish color'));
+log(chalk.hex('#DEADED').bold('Bold gray!'));
+```
+
+Easily define your own themes:
+
+```js
+const chalk = require('chalk');
+
+const error = chalk.bold.red;
+const warning = chalk.keyword('orange');
+
+console.log(error('Error!'));
+console.log(warning('Warning!'));
+```
+
+Take advantage of console.log [string substitution](https://nodejs.org/docs/latest/api/console.html#console_console_log_data_args):
+
+```js
+const name = 'Sindre';
+console.log(chalk.green('Hello %s'), name);
+//=> 'Hello Sindre'
+```
+
+## API
+
+### chalk.`<style>[.<style>...](string, [string...])`
+
+Example: `chalk.red.bold.underline('Hello', 'world');`
+
+Chain [styles](#styles) and call the last one as a method with a string argument. Order doesn't matter, and later styles take precedent in case of a conflict. This simply means that `chalk.red.yellow.green` is equivalent to `chalk.green`.
+
+Multiple arguments will be separated by space.
+
+### chalk.level
+
+Specifies the level of color support.
+
+Color support is automatically detected, but you can override it by setting the `level` property. You should however only do this in your own code as it applies globally to all Chalk consumers.
+
+If you need to change this in a reusable module, create a new instance:
+
+```js
+const ctx = new chalk.Instance({level: 0});
+```
+
+| Level | Description |
+| :---: | :--- |
+| `0` | All colors disabled |
+| `1` | Basic color support (16 colors) |
+| `2` | 256 color support |
+| `3` | Truecolor support (16 million colors) |
+
+### chalk.supportsColor
+
+Detect whether the terminal [supports color](https://github.com/chalk/supports-color). Used internally and handled for you, but exposed for convenience.
+
+Can be overridden by the user with the flags `--color` and `--no-color`. For situations where using `--color` is not possible, use the environment variable `FORCE_COLOR=1` (level 1), `FORCE_COLOR=2` (level 2), or `FORCE_COLOR=3` (level 3) to forcefully enable color, or `FORCE_COLOR=0` to forcefully disable. The use of `FORCE_COLOR` overrides all other color support checks.
+
+Explicit 256/Truecolor mode can be enabled using the `--color=256` and `--color=16m` flags, respectively.
+
+### chalk.stderr and chalk.stderr.supportsColor
+
+`chalk.stderr` contains a separate instance configured with color support detected for `stderr` stream instead of `stdout`. Override rules from `chalk.supportsColor` apply to this too. `chalk.stderr.supportsColor` is exposed for convenience.
+
+## Styles
+
+### Modifiers
+
+- `reset` - Resets the current color chain.
+- `bold` - Make text bold.
+- `dim` - Emitting only a small amount of light.
+- `italic` - Make text italic. *(Not widely supported)*
+- `underline` - Make text underline. *(Not widely supported)*
+- `inverse`- Inverse background and foreground colors.
+- `hidden` - Prints the text, but makes it invisible.
+- `strikethrough` - Puts a horizontal line through the center of the text. *(Not widely supported)*
+- `visible`- Prints the text only when Chalk has a color level > 0. Can be useful for things that are purely cosmetic.
+
+### Colors
+
+- `black`
+- `red`
+- `green`
+- `yellow`
+- `blue`
+- `magenta`
+- `cyan`
+- `white`
+- `blackBright` (alias: `gray`, `grey`)
+- `redBright`
+- `greenBright`
+- `yellowBright`
+- `blueBright`
+- `magentaBright`
+- `cyanBright`
+- `whiteBright`
+
+### Background colors
+
+- `bgBlack`
+- `bgRed`
+- `bgGreen`
+- `bgYellow`
+- `bgBlue`
+- `bgMagenta`
+- `bgCyan`
+- `bgWhite`
+- `bgBlackBright` (alias: `bgGray`, `bgGrey`)
+- `bgRedBright`
+- `bgGreenBright`
+- `bgYellowBright`
+- `bgBlueBright`
+- `bgMagentaBright`
+- `bgCyanBright`
+- `bgWhiteBright`
+
+## Tagged template literal
+
+Chalk can be used as a [tagged template literal](https://exploringjs.com/es6/ch_template-literals.html#_tagged-template-literals).
+
+```js
+const chalk = require('chalk');
+
+const miles = 18;
+const calculateFeet = miles => miles * 5280;
+
+console.log(chalk`
+	There are {bold 5280 feet} in a mile.
+	In {bold ${miles} miles}, there are {green.bold ${calculateFeet(miles)} feet}.
+`);
+```
+
+Blocks are delimited by an opening curly brace (`{`), a style, some content, and a closing curly brace (`}`).
+
+Template styles are chained exactly like normal Chalk styles. The following three statements are equivalent:
+
+```js
+console.log(chalk.bold.rgb(10, 100, 200)('Hello!'));
+console.log(chalk.bold.rgb(10, 100, 200)`Hello!`);
+console.log(chalk`{bold.rgb(10,100,200) Hello!}`);
+```
+
+Note that function styles (`rgb()`, `hsl()`, `keyword()`, etc.) may not contain spaces between parameters.
+
+All interpolated values (`` chalk`${foo}` ``) are converted to strings via the `.toString()` method. All curly braces (`{` and `}`) in interpolated value strings are escaped.
+
+## 256 and Truecolor color support
+
+Chalk supports 256 colors and [Truecolor](https://gist.github.com/XVilka/8346728) (16 million colors) on supported terminal apps.
+
+Colors are downsampled from 16 million RGB values to an ANSI color format that is supported by the terminal emulator (or by specifying `{level: n}` as a Chalk option). For example, Chalk configured to run at level 1 (basic color support) will downsample an RGB value of #FF0000 (red) to 31 (ANSI escape for red).
+
+Examples:
+
+- `chalk.hex('#DEADED').underline('Hello, world!')`
+- `chalk.keyword('orange')('Some orange text')`
+- `chalk.rgb(15, 100, 204).inverse('Hello!')`
+
+Background versions of these models are prefixed with `bg` and the first level of the module capitalized (e.g. `keyword` for foreground colors and `bgKeyword` for background colors).
+
+- `chalk.bgHex('#DEADED').underline('Hello, world!')`
+- `chalk.bgKeyword('orange')('Some orange text')`
+- `chalk.bgRgb(15, 100, 204).inverse('Hello!')`
+
+The following color models can be used:
+
+- [`rgb`](https://en.wikipedia.org/wiki/RGB_color_model) - Example: `chalk.rgb(255, 136, 0).bold('Orange!')`
+- [`hex`](https://en.wikipedia.org/wiki/Web_colors#Hex_triplet) - Example: `chalk.hex('#FF8800').bold('Orange!')`
+- [`keyword`](https://www.w3.org/wiki/CSS/Properties/color/keywords) (CSS keywords) - Example: `chalk.keyword('orange').bold('Orange!')`
+- [`hsl`](https://en.wikipedia.org/wiki/HSL_and_HSV) - Example: `chalk.hsl(32, 100, 50).bold('Orange!')`
+- [`hsv`](https://en.wikipedia.org/wiki/HSL_and_HSV) - Example: `chalk.hsv(32, 100, 100).bold('Orange!')`
+- [`hwb`](https://en.wikipedia.org/wiki/HWB_color_model) - Example: `chalk.hwb(32, 0, 50).bold('Orange!')`
+- [`ansi`](https://en.wikipedia.org/wiki/ANSI_escape_code#3/4_bit) - Example: `chalk.ansi(31).bgAnsi(93)('red on yellowBright')`
+- [`ansi256`](https://en.wikipedia.org/wiki/ANSI_escape_code#8-bit) - Example: `chalk.bgAnsi256(194)('Honeydew, more or less')`
+
+## Windows
+
+If you're on Windows, do yourself a favor and use [Windows Terminal](https://github.com/microsoft/terminal) instead of `cmd.exe`.
+
+## Origin story
+
+[colors.js](https://github.com/Marak/colors.js) used to be the most popular string styling module, but it has serious deficiencies like extending `String.prototype` which causes all kinds of [problems](https://github.com/yeoman/yo/issues/68) and the package is unmaintained. Although there are other packages, they either do too much or not enough. Chalk is a clean and focused alternative.
+
+## chalk for enterprise
+
+Available as part of the Tidelift Subscription.
+
+The maintainers of chalk and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. [Learn more.](https://tidelift.com/subscription/pkg/npm-chalk?utm_source=npm-chalk&utm_medium=referral&utm_campaign=enterprise&utm_term=repo)
+
+## Related
+
+- [chalk-cli](https://github.com/chalk/chalk-cli) - CLI for this module
+- [ansi-styles](https://github.com/chalk/ansi-styles) - ANSI escape codes for styling strings in the terminal
+- [supports-color](https://github.com/chalk/supports-color) - Detect whether a terminal supports color
+- [strip-ansi](https://github.com/chalk/strip-ansi) - Strip ANSI escape codes
+- [strip-ansi-stream](https://github.com/chalk/strip-ansi-stream) - Strip ANSI escape codes from a stream
+- [has-ansi](https://github.com/chalk/has-ansi) - Check if a string has ANSI escape codes
+- [ansi-regex](https://github.com/chalk/ansi-regex) - Regular expression for matching ANSI escape codes
+- [wrap-ansi](https://github.com/chalk/wrap-ansi) - Wordwrap a string with ANSI escape codes
+- [slice-ansi](https://github.com/chalk/slice-ansi) - Slice a string with ANSI escape codes
+- [color-convert](https://github.com/qix-/color-convert) - Converts colors between different models
+- [chalk-animation](https://github.com/bokub/chalk-animation) - Animate strings in the terminal
+- [gradient-string](https://github.com/bokub/gradient-string) - Apply color gradients to strings
+- [chalk-pipe](https://github.com/LitoMore/chalk-pipe) - Create chalk style schemes with simpler style strings
+- [terminal-link](https://github.com/sindresorhus/terminal-link) - Create clickable links in the terminal
+
+## Maintainers
+
+- [Sindre Sorhus](https://github.com/sindresorhus)
+- [Josh Junon](https://github.com/qix-)
diff --git a/node_modules/@jest/test-sequencer/node_modules/chalk/source/index.js b/node_modules/@jest/test-sequencer/node_modules/chalk/source/index.js
new file mode 100644
index 000000000..75ec66350
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/chalk/source/index.js
@@ -0,0 +1,229 @@
+'use strict';
+const ansiStyles = require('ansi-styles');
+const {stdout: stdoutColor, stderr: stderrColor} = require('supports-color');
+const {
+	stringReplaceAll,
+	stringEncaseCRLFWithFirstIndex
+} = require('./util');
+
+const {isArray} = Array;
+
+// `supportsColor.level` → `ansiStyles.color[name]` mapping
+const levelMapping = [
+	'ansi',
+	'ansi',
+	'ansi256',
+	'ansi16m'
+];
+
+const styles = Object.create(null);
+
+const applyOptions = (object, options = {}) => {
+	if (options.level && !(Number.isInteger(options.level) && options.level >= 0 && options.level <= 3)) {
+		throw new Error('The `level` option should be an integer from 0 to 3');
+	}
+
+	// Detect level if not set manually
+	const colorLevel = stdoutColor ? stdoutColor.level : 0;
+	object.level = options.level === undefined ? colorLevel : options.level;
+};
+
+class ChalkClass {
+	constructor(options) {
+		// eslint-disable-next-line no-constructor-return
+		return chalkFactory(options);
+	}
+}
+
+const chalkFactory = options => {
+	const chalk = {};
+	applyOptions(chalk, options);
+
+	chalk.template = (...arguments_) => chalkTag(chalk.template, ...arguments_);
+
+	Object.setPrototypeOf(chalk, Chalk.prototype);
+	Object.setPrototypeOf(chalk.template, chalk);
+
+	chalk.template.constructor = () => {
+		throw new Error('`chalk.constructor()` is deprecated. Use `new chalk.Instance()` instead.');
+	};
+
+	chalk.template.Instance = ChalkClass;
+
+	return chalk.template;
+};
+
+function Chalk(options) {
+	return chalkFactory(options);
+}
+
+for (const [styleName, style] of Object.entries(ansiStyles)) {
+	styles[styleName] = {
+		get() {
+			const builder = createBuilder(this, createStyler(style.open, style.close, this._styler), this._isEmpty);
+			Object.defineProperty(this, styleName, {value: builder});
+			return builder;
+		}
+	};
+}
+
+styles.visible = {
+	get() {
+		const builder = createBuilder(this, this._styler, true);
+		Object.defineProperty(this, 'visible', {value: builder});
+		return builder;
+	}
+};
+
+const usedModels = ['rgb', 'hex', 'keyword', 'hsl', 'hsv', 'hwb', 'ansi', 'ansi256'];
+
+for (const model of usedModels) {
+	styles[model] = {
+		get() {
+			const {level} = this;
+			return function (...arguments_) {
+				const styler = createStyler(ansiStyles.color[levelMapping[level]][model](...arguments_), ansiStyles.color.close, this._styler);
+				return createBuilder(this, styler, this._isEmpty);
+			};
+		}
+	};
+}
+
+for (const model of usedModels) {
+	const bgModel = 'bg' + model[0].toUpperCase() + model.slice(1);
+	styles[bgModel] = {
+		get() {
+			const {level} = this;
+			return function (...arguments_) {
+				const styler = createStyler(ansiStyles.bgColor[levelMapping[level]][model](...arguments_), ansiStyles.bgColor.close, this._styler);
+				return createBuilder(this, styler, this._isEmpty);
+			};
+		}
+	};
+}
+
+const proto = Object.defineProperties(() => {}, {
+	...styles,
+	level: {
+		enumerable: true,
+		get() {
+			return this._generator.level;
+		},
+		set(level) {
+			this._generator.level = level;
+		}
+	}
+});
+
+const createStyler = (open, close, parent) => {
+	let openAll;
+	let closeAll;
+	if (parent === undefined) {
+		openAll = open;
+		closeAll = close;
+	} else {
+		openAll = parent.openAll + open;
+		closeAll = close + parent.closeAll;
+	}
+
+	return {
+		open,
+		close,
+		openAll,
+		closeAll,
+		parent
+	};
+};
+
+const createBuilder = (self, _styler, _isEmpty) => {
+	const builder = (...arguments_) => {
+		if (isArray(arguments_[0]) && isArray(arguments_[0].raw)) {
+			// Called as a template literal, for example: chalk.red`2 + 3 = {bold ${2+3}}`
+			return applyStyle(builder, chalkTag(builder, ...arguments_));
+		}
+
+		// Single argument is hot path, implicit coercion is faster than anything
+		// eslint-disable-next-line no-implicit-coercion
+		return applyStyle(builder, (arguments_.length === 1) ? ('' + arguments_[0]) : arguments_.join(' '));
+	};
+
+	// We alter the prototype because we must return a function, but there is
+	// no way to create a function with a different prototype
+	Object.setPrototypeOf(builder, proto);
+
+	builder._generator = self;
+	builder._styler = _styler;
+	builder._isEmpty = _isEmpty;
+
+	return builder;
+};
+
+const applyStyle = (self, string) => {
+	if (self.level <= 0 || !string) {
+		return self._isEmpty ? '' : string;
+	}
+
+	let styler = self._styler;
+
+	if (styler === undefined) {
+		return string;
+	}
+
+	const {openAll, closeAll} = styler;
+	if (string.indexOf('\u001B') !== -1) {
+		while (styler !== undefined) {
+			// Replace any instances already present with a re-opening code
+			// otherwise only the part of the string until said closing code
+			// will be colored, and the rest will simply be 'plain'.
+			string = stringReplaceAll(string, styler.close, styler.open);
+
+			styler = styler.parent;
+		}
+	}
+
+	// We can move both next actions out of loop, because remaining actions in loop won't have
+	// any/visible effect on parts we add here. Close the styling before a linebreak and reopen
+	// after next line to fix a bleed issue on macOS: https://github.com/chalk/chalk/pull/92
+	const lfIndex = string.indexOf('\n');
+	if (lfIndex !== -1) {
+		string = stringEncaseCRLFWithFirstIndex(string, closeAll, openAll, lfIndex);
+	}
+
+	return openAll + string + closeAll;
+};
+
+let template;
+const chalkTag = (chalk, ...strings) => {
+	const [firstString] = strings;
+
+	if (!isArray(firstString) || !isArray(firstString.raw)) {
+		// If chalk() was called by itself or with a string,
+		// return the string itself as a string.
+		return strings.join(' ');
+	}
+
+	const arguments_ = strings.slice(1);
+	const parts = [firstString.raw[0]];
+
+	for (let i = 1; i < firstString.length; i++) {
+		parts.push(
+			String(arguments_[i - 1]).replace(/[{}\\]/g, '\\$&'),
+			String(firstString.raw[i])
+		);
+	}
+
+	if (template === undefined) {
+		template = require('./templates');
+	}
+
+	return template(chalk, parts.join(''));
+};
+
+Object.defineProperties(Chalk.prototype, styles);
+
+const chalk = Chalk(); // eslint-disable-line new-cap
+chalk.supportsColor = stdoutColor;
+chalk.stderr = Chalk({level: stderrColor ? stderrColor.level : 0}); // eslint-disable-line new-cap
+chalk.stderr.supportsColor = stderrColor;
+
+module.exports = chalk;
diff --git a/node_modules/@jest/test-sequencer/node_modules/chalk/source/templates.js b/node_modules/@jest/test-sequencer/node_modules/chalk/source/templates.js
new file mode 100644
index 000000000..b130949d6
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/chalk/source/templates.js
@@ -0,0 +1,134 @@
+'use strict';
+const TEMPLATE_REGEX = /(?:\\(u(?:[a-f\d]{4}|\{[a-f\d]{1,6}\})|x[a-f\d]{2}|.))|(?:\{(~)?(\w+(?:\([^)]*\))?(?:\.\w+(?:\([^)]*\))?)*)(?:[ \t]|(?=\r?\n)))|(\})|((?:.|[\r\n\f])+?)/gi;
+const STYLE_REGEX = /(?:^|\.)(\w+)(?:\(([^)]*)\))?/g;
+const STRING_REGEX = /^(['"])((?:\\.|(?!\1)[^\\])*)\1$/;
+const ESCAPE_REGEX = /\\(u(?:[a-f\d]{4}|{[a-f\d]{1,6}})|x[a-f\d]{2}|.)|([^\\])/gi;
+
+const ESCAPES = new Map([
+	['n', '\n'],
+	['r', '\r'],
+	['t', '\t'],
+	['b', '\b'],
+	['f', '\f'],
+	['v', '\v'],
+	['0', '\0'],
+	['\\', '\\'],
+	['e', '\u001B'],
+	['a', '\u0007']
+]);
+
+function unescape(c) {
+	const u = c[0] === 'u';
+	const bracket = c[1] === '{';
+
+	if ((u && !bracket && c.length === 5) || (c[0] === 'x' && c.length === 3)) {
+		return String.fromCharCode(parseInt(c.slice(1), 16));
+	}
+
+	if (u && bracket) {
+		return String.fromCodePoint(parseInt(c.slice(2, -1), 16));
+	}
+
+	return ESCAPES.get(c) || c;
+}
+
+function parseArguments(name, arguments_) {
+	const results = [];
+	const chunks = arguments_.trim().split(/\s*,\s*/g);
+	let matches;
+
+	for (const chunk of chunks) {
+		const number = Number(chunk);
+		if (!Number.isNaN(number)) {
+			results.push(number);
+		} else if ((matches = chunk.match(STRING_REGEX))) {
+			results.push(matches[2].replace(ESCAPE_REGEX, (m, escape, character) => escape ? unescape(escape) : character));
+		} else {
+			throw new Error(`Invalid Chalk template style argument: ${chunk} (in style '${name}')`);
+		}
+	}
+
+	return results;
+}
+
+function parseStyle(style) {
+	STYLE_REGEX.lastIndex = 0;
+
+	const results = [];
+	let matches;
+
+	while ((matches = STYLE_REGEX.exec(style)) !== null) {
+		const name = matches[1];
+
+		if (matches[2]) {
+			const args = parseArguments(name, matches[2]);
+			results.push([name].concat(args));
+		} else {
+			results.push([name]);
+		}
+	}
+
+	return results;
+}
+
+function buildStyle(chalk, styles) {
+	const enabled = {};
+
+	for (const layer of styles) {
+		for (const style of layer.styles) {
+			enabled[style[0]] = layer.inverse ? null : style.slice(1);
+		}
+	}
+
+	let current = chalk;
+	for (const [styleName, styles] of Object.entries(enabled)) {
+		if (!Array.isArray(styles)) {
+			continue;
+		}
+
+		if (!(styleName in current)) {
+			throw new Error(`Unknown Chalk style: ${styleName}`);
+		}
+
+		current = styles.length > 0 ? current[styleName](...styles) : current[styleName];
+	}
+
+	return current;
+}
+
+module.exports = (chalk, temporary) => {
+	const styles = [];
+	const chunks = [];
+	let chunk = [];
+
+	// eslint-disable-next-line max-params
+	temporary.replace(TEMPLATE_REGEX, (m, escapeCharacter, inverse, style, close, character) => {
+		if (escapeCharacter) {
+			chunk.push(unescape(escapeCharacter));
+		} else if (style) {
+			const string = chunk.join('');
+			chunk = [];
+			chunks.push(styles.length === 0 ? string : buildStyle(chalk, styles)(string));
+			styles.push({inverse, styles: parseStyle(style)});
+		} else if (close) {
+			if (styles.length === 0) {
+				throw new Error('Found extraneous } in Chalk template literal');
+			}
+
+			chunks.push(buildStyle(chalk, styles)(chunk.join('')));
+			chunk = [];
+			styles.pop();
+		} else {
+			chunk.push(character);
+		}
+	});
+
+	chunks.push(chunk.join(''));
+
+	if (styles.length > 0) {
+		const errMessage = `Chalk template literal is missing ${styles.length} closing bracket${styles.length === 1 ? '' : 's'} (\`}\`)`;
+		throw new Error(errMessage);
+	}
+
+	return chunks.join('');
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/chalk/source/util.js b/node_modules/@jest/test-sequencer/node_modules/chalk/source/util.js
new file mode 100644
index 000000000..ca466fd46
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/chalk/source/util.js
@@ -0,0 +1,39 @@
+'use strict';
+
+const stringReplaceAll = (string, substring, replacer) => {
+	let index = string.indexOf(substring);
+	if (index === -1) {
+		return string;
+	}
+
+	const substringLength = substring.length;
+	let endIndex = 0;
+	let returnValue = '';
+	do {
+		returnValue += string.substr(endIndex, index - endIndex) + substring + replacer;
+		endIndex = index + substringLength;
+		index = string.indexOf(substring, endIndex);
+	} while (index !== -1);
+
+	returnValue += string.substr(endIndex);
+	return returnValue;
+};
+
+const stringEncaseCRLFWithFirstIndex = (string, prefix, postfix, index) => {
+	let endIndex = 0;
+	let returnValue = '';
+	do {
+		const gotCR = string[index - 1] === '\r';
+		returnValue += string.substr(endIndex, (gotCR ? index - 1 : index) - endIndex) + prefix + (gotCR ? '\r\n' : '\n') + postfix;
+		endIndex = index + 1;
+		index = string.indexOf('\n', endIndex);
+	} while (index !== -1);
+
+	returnValue += string.substr(endIndex);
+	return returnValue;
+};
+
+module.exports = {
+	stringReplaceAll,
+	stringEncaseCRLFWithFirstIndex
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-convert/CHANGELOG.md b/node_modules/@jest/test-sequencer/node_modules/color-convert/CHANGELOG.md
new file mode 100644
index 000000000..0a7bce4fd
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-convert/CHANGELOG.md
@@ -0,0 +1,54 @@
+# 1.0.0 - 2016-01-07
+
+- Removed: unused speed test
+- Added: Automatic routing between previously unsupported conversions
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Removed: `xxx2xxx()` and `xxx2xxxRaw()` functions
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Removed: `convert()` class
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Changed: all functions to lookup dictionary
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Changed: `ansi` to `ansi256`
+([#27](https://github.com/Qix-/color-convert/pull/27))
+- Fixed: argument grouping for functions requiring only one argument
+([#27](https://github.com/Qix-/color-convert/pull/27))
+
+# 0.6.0 - 2015-07-23
+
+- Added: methods to handle
+[ANSI](https://en.wikipedia.org/wiki/ANSI_escape_code#Colors) 16/256 colors:
+  - rgb2ansi16
+  - rgb2ansi
+  - hsl2ansi16
+  - hsl2ansi
+  - hsv2ansi16
+  - hsv2ansi
+  - hwb2ansi16
+  - hwb2ansi
+  - cmyk2ansi16
+  - cmyk2ansi
+  - keyword2ansi16
+  - keyword2ansi
+  - ansi162rgb
+  - ansi162hsl
+  - ansi162hsv
+  - ansi162hwb
+  - ansi162cmyk
+  - ansi162keyword
+  - ansi2rgb
+  - ansi2hsl
+  - ansi2hsv
+  - ansi2hwb
+  - ansi2cmyk
+  - ansi2keyword
+([#18](https://github.com/harthur/color-convert/pull/18))
+
+# 0.5.3 - 2015-06-02
+
+- Fixed: hsl2hsv does not return `NaN` anymore when using `[0,0,0]`
+([#15](https://github.com/harthur/color-convert/issues/15))
+
+---
+
+Check out commit logs for older releases
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-convert/LICENSE b/node_modules/@jest/test-sequencer/node_modules/color-convert/LICENSE
new file mode 100644
index 000000000..5b4c386f9
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-convert/LICENSE
@@ -0,0 +1,21 @@
+Copyright (c) 2011-2016 Heather Arthur <fayearthur@gmail.com>
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-convert/README.md b/node_modules/@jest/test-sequencer/node_modules/color-convert/README.md
new file mode 100644
index 000000000..d4b08fc36
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-convert/README.md
@@ -0,0 +1,68 @@
+# color-convert
+
+[![Build Status](https://travis-ci.org/Qix-/color-convert.svg?branch=master)](https://travis-ci.org/Qix-/color-convert)
+
+Color-convert is a color conversion library for JavaScript and node.
+It converts all ways between `rgb`, `hsl`, `hsv`, `hwb`, `cmyk`, `ansi`, `ansi16`, `hex` strings, and CSS `keyword`s (will round to closest):
+
+```js
+var convert = require('color-convert');
+
+convert.rgb.hsl(140, 200, 100);             // [96, 48, 59]
+convert.keyword.rgb('blue');                // [0, 0, 255]
+
+var rgbChannels = convert.rgb.channels;     // 3
+var cmykChannels = convert.cmyk.channels;   // 4
+var ansiChannels = convert.ansi16.channels; // 1
+```
+
+# Install
+
+```console
+$ npm install color-convert
+```
+
+# API
+
+Simply get the property of the _from_ and _to_ conversion that you're looking for.
+
+All functions have a rounded and unrounded variant. By default, return values are rounded. To get the unrounded (raw) results, simply tack on `.raw` to the function.
+
+All 'from' functions have a hidden property called `.channels` that indicates the number of channels the function expects (not including alpha).
+
+```js
+var convert = require('color-convert');
+
+// Hex to LAB
+convert.hex.lab('DEADBF');         // [ 76, 21, -2 ]
+convert.hex.lab.raw('DEADBF');     // [ 75.56213190997677, 20.653827952644754, -2.290532499330533 ]
+
+// RGB to CMYK
+convert.rgb.cmyk(167, 255, 4);     // [ 35, 0, 98, 0 ]
+convert.rgb.cmyk.raw(167, 255, 4); // [ 34.509803921568626, 0, 98.43137254901961, 0 ]
+```
+
+### Arrays
+All functions that accept multiple arguments also support passing an array.
+
+Note that this does **not** apply to functions that convert from a color that only requires one value (e.g. `keyword`, `ansi256`, `hex`, etc.)
+
+```js
+var convert = require('color-convert');
+
+convert.rgb.hex(123, 45, 67);      // '7B2D43'
+convert.rgb.hex([123, 45, 67]);    // '7B2D43'
+```
+
+## Routing
+
+Conversions that don't have an _explicitly_ defined conversion (in [conversions.js](conversions.js)), but can be converted by means of sub-conversions (e.g. XYZ -> **RGB** -> CMYK), are automatically routed together. This allows just about any color model supported by `color-convert` to be converted to any other model, so long as a sub-conversion path exists. This is also true for conversions requiring more than one step in between (e.g. LCH -> **LAB** -> **XYZ** -> **RGB** -> Hex).
+
+Keep in mind that extensive conversions _may_ result in a loss of precision, and exist only to be complete. For a list of "direct" (single-step) conversions, see [conversions.js](conversions.js).
+
+# Contribute
+
+If there is a new model you would like to support, or want to add a direct conversion between two existing models, please send us a pull request.
+
+# License
+Copyright &copy; 2011-2016, Heather Arthur and Josh Junon. Licensed under the [MIT License](LICENSE).
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-convert/conversions.js b/node_modules/@jest/test-sequencer/node_modules/color-convert/conversions.js
new file mode 100644
index 000000000..2657f265c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-convert/conversions.js
@@ -0,0 +1,839 @@
+/* MIT license */
+/* eslint-disable no-mixed-operators */
+const cssKeywords = require('color-name');
+
+// NOTE: conversions should only return primitive values (i.e. arrays, or
+//       values that give correct `typeof` results).
+//       do not use box values types (i.e. Number(), String(), etc.)
+
+const reverseKeywords = {};
+for (const key of Object.keys(cssKeywords)) {
+	reverseKeywords[cssKeywords[key]] = key;
+}
+
+const convert = {
+	rgb: {channels: 3, labels: 'rgb'},
+	hsl: {channels: 3, labels: 'hsl'},
+	hsv: {channels: 3, labels: 'hsv'},
+	hwb: {channels: 3, labels: 'hwb'},
+	cmyk: {channels: 4, labels: 'cmyk'},
+	xyz: {channels: 3, labels: 'xyz'},
+	lab: {channels: 3, labels: 'lab'},
+	lch: {channels: 3, labels: 'lch'},
+	hex: {channels: 1, labels: ['hex']},
+	keyword: {channels: 1, labels: ['keyword']},
+	ansi16: {channels: 1, labels: ['ansi16']},
+	ansi256: {channels: 1, labels: ['ansi256']},
+	hcg: {channels: 3, labels: ['h', 'c', 'g']},
+	apple: {channels: 3, labels: ['r16', 'g16', 'b16']},
+	gray: {channels: 1, labels: ['gray']}
+};
+
+module.exports = convert;
+
+// Hide .channels and .labels properties
+for (const model of Object.keys(convert)) {
+	if (!('channels' in convert[model])) {
+		throw new Error('missing channels property: ' + model);
+	}
+
+	if (!('labels' in convert[model])) {
+		throw new Error('missing channel labels property: ' + model);
+	}
+
+	if (convert[model].labels.length !== convert[model].channels) {
+		throw new Error('channel and label counts mismatch: ' + model);
+	}
+
+	const {channels, labels} = convert[model];
+	delete convert[model].channels;
+	delete convert[model].labels;
+	Object.defineProperty(convert[model], 'channels', {value: channels});
+	Object.defineProperty(convert[model], 'labels', {value: labels});
+}
+
+convert.rgb.hsl = function (rgb) {
+	const r = rgb[0] / 255;
+	const g = rgb[1] / 255;
+	const b = rgb[2] / 255;
+	const min = Math.min(r, g, b);
+	const max = Math.max(r, g, b);
+	const delta = max - min;
+	let h;
+	let s;
+
+	if (max === min) {
+		h = 0;
+	} else if (r === max) {
+		h = (g - b) / delta;
+	} else if (g === max) {
+		h = 2 + (b - r) / delta;
+	} else if (b === max) {
+		h = 4 + (r - g) / delta;
+	}
+
+	h = Math.min(h * 60, 360);
+
+	if (h < 0) {
+		h += 360;
+	}
+
+	const l = (min + max) / 2;
+
+	if (max === min) {
+		s = 0;
+	} else if (l <= 0.5) {
+		s = delta / (max + min);
+	} else {
+		s = delta / (2 - max - min);
+	}
+
+	return [h, s * 100, l * 100];
+};
+
+convert.rgb.hsv = function (rgb) {
+	let rdif;
+	let gdif;
+	let bdif;
+	let h;
+	let s;
+
+	const r = rgb[0] / 255;
+	const g = rgb[1] / 255;
+	const b = rgb[2] / 255;
+	const v = Math.max(r, g, b);
+	const diff = v - Math.min(r, g, b);
+	const diffc = function (c) {
+		return (v - c) / 6 / diff + 1 / 2;
+	};
+
+	if (diff === 0) {
+		h = 0;
+		s = 0;
+	} else {
+		s = diff / v;
+		rdif = diffc(r);
+		gdif = diffc(g);
+		bdif = diffc(b);
+
+		if (r === v) {
+			h = bdif - gdif;
+		} else if (g === v) {
+			h = (1 / 3) + rdif - bdif;
+		} else if (b === v) {
+			h = (2 / 3) + gdif - rdif;
+		}
+
+		if (h < 0) {
+			h += 1;
+		} else if (h > 1) {
+			h -= 1;
+		}
+	}
+
+	return [
+		h * 360,
+		s * 100,
+		v * 100
+	];
+};
+
+convert.rgb.hwb = function (rgb) {
+	const r = rgb[0];
+	const g = rgb[1];
+	let b = rgb[2];
+	const h = convert.rgb.hsl(rgb)[0];
+	const w = 1 / 255 * Math.min(r, Math.min(g, b));
+
+	b = 1 - 1 / 255 * Math.max(r, Math.max(g, b));
+
+	return [h, w * 100, b * 100];
+};
+
+convert.rgb.cmyk = function (rgb) {
+	const r = rgb[0] / 255;
+	const g = rgb[1] / 255;
+	const b = rgb[2] / 255;
+
+	const k = Math.min(1 - r, 1 - g, 1 - b);
+	const c = (1 - r - k) / (1 - k) || 0;
+	const m = (1 - g - k) / (1 - k) || 0;
+	const y = (1 - b - k) / (1 - k) || 0;
+
+	return [c * 100, m * 100, y * 100, k * 100];
+};
+
+function comparativeDistance(x, y) {
+	/*
+		See https://en.m.wikipedia.org/wiki/Euclidean_distance#Squared_Euclidean_distance
+	*/
+	return (
+		((x[0] - y[0]) ** 2) +
+		((x[1] - y[1]) ** 2) +
+		((x[2] - y[2]) ** 2)
+	);
+}
+
+convert.rgb.keyword = function (rgb) {
+	const reversed = reverseKeywords[rgb];
+	if (reversed) {
+		return reversed;
+	}
+
+	let currentClosestDistance = Infinity;
+	let currentClosestKeyword;
+
+	for (const keyword of Object.keys(cssKeywords)) {
+		const value = cssKeywords[keyword];
+
+		// Compute comparative distance
+		const distance = comparativeDistance(rgb, value);
+
+		// Check if its less, if so set as closest
+		if (distance < currentClosestDistance) {
+			currentClosestDistance = distance;
+			currentClosestKeyword = keyword;
+		}
+	}
+
+	return currentClosestKeyword;
+};
+
+convert.keyword.rgb = function (keyword) {
+	return cssKeywords[keyword];
+};
+
+convert.rgb.xyz = function (rgb) {
+	let r = rgb[0] / 255;
+	let g = rgb[1] / 255;
+	let b = rgb[2] / 255;
+
+	// Assume sRGB
+	r = r > 0.04045 ? (((r + 0.055) / 1.055) ** 2.4) : (r / 12.92);
+	g = g > 0.04045 ? (((g + 0.055) / 1.055) ** 2.4) : (g / 12.92);
+	b = b > 0.04045 ? (((b + 0.055) / 1.055) ** 2.4) : (b / 12.92);
+
+	const x = (r * 0.4124) + (g * 0.3576) + (b * 0.1805);
+	const y = (r * 0.2126) + (g * 0.7152) + (b * 0.0722);
+	const z = (r * 0.0193) + (g * 0.1192) + (b * 0.9505);
+
+	return [x * 100, y * 100, z * 100];
+};
+
+convert.rgb.lab = function (rgb) {
+	const xyz = convert.rgb.xyz(rgb);
+	let x = xyz[0];
+	let y = xyz[1];
+	let z = xyz[2];
+
+	x /= 95.047;
+	y /= 100;
+	z /= 108.883;
+
+	x = x > 0.008856 ? (x ** (1 / 3)) : (7.787 * x) + (16 / 116);
+	y = y > 0.008856 ? (y ** (1 / 3)) : (7.787 * y) + (16 / 116);
+	z = z > 0.008856 ? (z ** (1 / 3)) : (7.787 * z) + (16 / 116);
+
+	const l = (116 * y) - 16;
+	const a = 500 * (x - y);
+	const b = 200 * (y - z);
+
+	return [l, a, b];
+};
+
+convert.hsl.rgb = function (hsl) {
+	const h = hsl[0] / 360;
+	const s = hsl[1] / 100;
+	const l = hsl[2] / 100;
+	let t2;
+	let t3;
+	let val;
+
+	if (s === 0) {
+		val = l * 255;
+		return [val, val, val];
+	}
+
+	if (l < 0.5) {
+		t2 = l * (1 + s);
+	} else {
+		t2 = l + s - l * s;
+	}
+
+	const t1 = 2 * l - t2;
+
+	const rgb = [0, 0, 0];
+	for (let i = 0; i < 3; i++) {
+		t3 = h + 1 / 3 * -(i - 1);
+		if (t3 < 0) {
+			t3++;
+		}
+
+		if (t3 > 1) {
+			t3--;
+		}
+
+		if (6 * t3 < 1) {
+			val = t1 + (t2 - t1) * 6 * t3;
+		} else if (2 * t3 < 1) {
+			val = t2;
+		} else if (3 * t3 < 2) {
+			val = t1 + (t2 - t1) * (2 / 3 - t3) * 6;
+		} else {
+			val = t1;
+		}
+
+		rgb[i] = val * 255;
+	}
+
+	return rgb;
+};
+
+convert.hsl.hsv = function (hsl) {
+	const h = hsl[0];
+	let s = hsl[1] / 100;
+	let l = hsl[2] / 100;
+	let smin = s;
+	const lmin = Math.max(l, 0.01);
+
+	l *= 2;
+	s *= (l <= 1) ? l : 2 - l;
+	smin *= lmin <= 1 ? lmin : 2 - lmin;
+	const v = (l + s) / 2;
+	const sv = l === 0 ? (2 * smin) / (lmin + smin) : (2 * s) / (l + s);
+
+	return [h, sv * 100, v * 100];
+};
+
+convert.hsv.rgb = function (hsv) {
+	const h = hsv[0] / 60;
+	const s = hsv[1] / 100;
+	let v = hsv[2] / 100;
+	const hi = Math.floor(h) % 6;
+
+	const f = h - Math.floor(h);
+	const p = 255 * v * (1 - s);
+	const q = 255 * v * (1 - (s * f));
+	const t = 255 * v * (1 - (s * (1 - f)));
+	v *= 255;
+
+	switch (hi) {
+		case 0:
+			return [v, t, p];
+		case 1:
+			return [q, v, p];
+		case 2:
+			return [p, v, t];
+		case 3:
+			return [p, q, v];
+		case 4:
+			return [t, p, v];
+		case 5:
+			return [v, p, q];
+	}
+};
+
+convert.hsv.hsl = function (hsv) {
+	const h = hsv[0];
+	const s = hsv[1] / 100;
+	const v = hsv[2] / 100;
+	const vmin = Math.max(v, 0.01);
+	let sl;
+	let l;
+
+	l = (2 - s) * v;
+	const lmin = (2 - s) * vmin;
+	sl = s * vmin;
+	sl /= (lmin <= 1) ? lmin : 2 - lmin;
+	sl = sl || 0;
+	l /= 2;
+
+	return [h, sl * 100, l * 100];
+};
+
+// http://dev.w3.org/csswg/css-color/#hwb-to-rgb
+convert.hwb.rgb = function (hwb) {
+	const h = hwb[0] / 360;
+	let wh = hwb[1] / 100;
+	let bl = hwb[2] / 100;
+	const ratio = wh + bl;
+	let f;
+
+	// Wh + bl cant be > 1
+	if (ratio > 1) {
+		wh /= ratio;
+		bl /= ratio;
+	}
+
+	const i = Math.floor(6 * h);
+	const v = 1 - bl;
+	f = 6 * h - i;
+
+	if ((i & 0x01) !== 0) {
+		f = 1 - f;
+	}
+
+	const n = wh + f * (v - wh); // Linear interpolation
+
+	let r;
+	let g;
+	let b;
+	/* eslint-disable max-statements-per-line,no-multi-spaces */
+	switch (i) {
+		default:
+		case 6:
+		case 0: r = v;  g = n;  b = wh; break;
+		case 1: r = n;  g = v;  b = wh; break;
+		case 2: r = wh; g = v;  b = n; break;
+		case 3: r = wh; g = n;  b = v; break;
+		case 4: r = n;  g = wh; b = v; break;
+		case 5: r = v;  g = wh; b = n; break;
+	}
+	/* eslint-enable max-statements-per-line,no-multi-spaces */
+
+	return [r * 255, g * 255, b * 255];
+};
+
+convert.cmyk.rgb = function (cmyk) {
+	const c = cmyk[0] / 100;
+	const m = cmyk[1] / 100;
+	const y = cmyk[2] / 100;
+	const k = cmyk[3] / 100;
+
+	const r = 1 - Math.min(1, c * (1 - k) + k);
+	const g = 1 - Math.min(1, m * (1 - k) + k);
+	const b = 1 - Math.min(1, y * (1 - k) + k);
+
+	return [r * 255, g * 255, b * 255];
+};
+
+convert.xyz.rgb = function (xyz) {
+	const x = xyz[0] / 100;
+	const y = xyz[1] / 100;
+	const z = xyz[2] / 100;
+	let r;
+	let g;
+	let b;
+
+	r = (x * 3.2406) + (y * -1.5372) + (z * -0.4986);
+	g = (x * -0.9689) + (y * 1.8758) + (z * 0.0415);
+	b = (x * 0.0557) + (y * -0.2040) + (z * 1.0570);
+
+	// Assume sRGB
+	r = r > 0.0031308
+		? ((1.055 * (r ** (1.0 / 2.4))) - 0.055)
+		: r * 12.92;
+
+	g = g > 0.0031308
+		? ((1.055 * (g ** (1.0 / 2.4))) - 0.055)
+		: g * 12.92;
+
+	b = b > 0.0031308
+		? ((1.055 * (b ** (1.0 / 2.4))) - 0.055)
+		: b * 12.92;
+
+	r = Math.min(Math.max(0, r), 1);
+	g = Math.min(Math.max(0, g), 1);
+	b = Math.min(Math.max(0, b), 1);
+
+	return [r * 255, g * 255, b * 255];
+};
+
+convert.xyz.lab = function (xyz) {
+	let x = xyz[0];
+	let y = xyz[1];
+	let z = xyz[2];
+
+	x /= 95.047;
+	y /= 100;
+	z /= 108.883;
+
+	x = x > 0.008856 ? (x ** (1 / 3)) : (7.787 * x) + (16 / 116);
+	y = y > 0.008856 ? (y ** (1 / 3)) : (7.787 * y) + (16 / 116);
+	z = z > 0.008856 ? (z ** (1 / 3)) : (7.787 * z) + (16 / 116);
+
+	const l = (116 * y) - 16;
+	const a = 500 * (x - y);
+	const b = 200 * (y - z);
+
+	return [l, a, b];
+};
+
+convert.lab.xyz = function (lab) {
+	const l = lab[0];
+	const a = lab[1];
+	const b = lab[2];
+	let x;
+	let y;
+	let z;
+
+	y = (l + 16) / 116;
+	x = a / 500 + y;
+	z = y - b / 200;
+
+	const y2 = y ** 3;
+	const x2 = x ** 3;
+	const z2 = z ** 3;
+	y = y2 > 0.008856 ? y2 : (y - 16 / 116) / 7.787;
+	x = x2 > 0.008856 ? x2 : (x - 16 / 116) / 7.787;
+	z = z2 > 0.008856 ? z2 : (z - 16 / 116) / 7.787;
+
+	x *= 95.047;
+	y *= 100;
+	z *= 108.883;
+
+	return [x, y, z];
+};
+
+convert.lab.lch = function (lab) {
+	const l = lab[0];
+	const a = lab[1];
+	const b = lab[2];
+	let h;
+
+	const hr = Math.atan2(b, a);
+	h = hr * 360 / 2 / Math.PI;
+
+	if (h < 0) {
+		h += 360;
+	}
+
+	const c = Math.sqrt(a * a + b * b);
+
+	return [l, c, h];
+};
+
+convert.lch.lab = function (lch) {
+	const l = lch[0];
+	const c = lch[1];
+	const h = lch[2];
+
+	const hr = h / 360 * 2 * Math.PI;
+	const a = c * Math.cos(hr);
+	const b = c * Math.sin(hr);
+
+	return [l, a, b];
+};
+
+convert.rgb.ansi16 = function (args, saturation = null) {
+	const [r, g, b] = args;
+	let value = saturation === null ? convert.rgb.hsv(args)[2] : saturation; // Hsv -> ansi16 optimization
+
+	value = Math.round(value / 50);
+
+	if (value === 0) {
+		return 30;
+	}
+
+	let ansi = 30
+		+ ((Math.round(b / 255) << 2)
+		| (Math.round(g / 255) << 1)
+		| Math.round(r / 255));
+
+	if (value === 2) {
+		ansi += 60;
+	}
+
+	return ansi;
+};
+
+convert.hsv.ansi16 = function (args) {
+	// Optimization here; we already know the value and don't need to get
+	// it converted for us.
+	return convert.rgb.ansi16(convert.hsv.rgb(args), args[2]);
+};
+
+convert.rgb.ansi256 = function (args) {
+	const r = args[0];
+	const g = args[1];
+	const b = args[2];
+
+	// We use the extended greyscale palette here, with the exception of
+	// black and white. normal palette only has 4 greyscale shades.
+	if (r === g && g === b) {
+		if (r < 8) {
+			return 16;
+		}
+
+		if (r > 248) {
+			return 231;
+		}
+
+		return Math.round(((r - 8) / 247) * 24) + 232;
+	}
+
+	const ansi = 16
+		+ (36 * Math.round(r / 255 * 5))
+		+ (6 * Math.round(g / 255 * 5))
+		+ Math.round(b / 255 * 5);
+
+	return ansi;
+};
+
+convert.ansi16.rgb = function (args) {
+	let color = args % 10;
+
+	// Handle greyscale
+	if (color === 0 || color === 7) {
+		if (args > 50) {
+			color += 3.5;
+		}
+
+		color = color / 10.5 * 255;
+
+		return [color, color, color];
+	}
+
+	const mult = (~~(args > 50) + 1) * 0.5;
+	const r = ((color & 1) * mult) * 255;
+	const g = (((color >> 1) & 1) * mult) * 255;
+	const b = (((color >> 2) & 1) * mult) * 255;
+
+	return [r, g, b];
+};
+
+convert.ansi256.rgb = function (args) {
+	// Handle greyscale
+	if (args >= 232) {
+		const c = (args - 232) * 10 + 8;
+		return [c, c, c];
+	}
+
+	args -= 16;
+
+	let rem;
+	const r = Math.floor(args / 36) / 5 * 255;
+	const g = Math.floor((rem = args % 36) / 6) / 5 * 255;
+	const b = (rem % 6) / 5 * 255;
+
+	return [r, g, b];
+};
+
+convert.rgb.hex = function (args) {
+	const integer = ((Math.round(args[0]) & 0xFF) << 16)
+		+ ((Math.round(args[1]) & 0xFF) << 8)
+		+ (Math.round(args[2]) & 0xFF);
+
+	const string = integer.toString(16).toUpperCase();
+	return '000000'.substring(string.length) + string;
+};
+
+convert.hex.rgb = function (args) {
+	const match = args.toString(16).match(/[a-f0-9]{6}|[a-f0-9]{3}/i);
+	if (!match) {
+		return [0, 0, 0];
+	}
+
+	let colorString = match[0];
+
+	if (match[0].length === 3) {
+		colorString = colorString.split('').map(char => {
+			return char + char;
+		}).join('');
+	}
+
+	const integer = parseInt(colorString, 16);
+	const r = (integer >> 16) & 0xFF;
+	const g = (integer >> 8) & 0xFF;
+	const b = integer & 0xFF;
+
+	return [r, g, b];
+};
+
+convert.rgb.hcg = function (rgb) {
+	const r = rgb[0] / 255;
+	const g = rgb[1] / 255;
+	const b = rgb[2] / 255;
+	const max = Math.max(Math.max(r, g), b);
+	const min = Math.min(Math.min(r, g), b);
+	const chroma = (max - min);
+	let grayscale;
+	let hue;
+
+	if (chroma < 1) {
+		grayscale = min / (1 - chroma);
+	} else {
+		grayscale = 0;
+	}
+
+	if (chroma <= 0) {
+		hue = 0;
+	} else
+	if (max === r) {
+		hue = ((g - b) / chroma) % 6;
+	} else
+	if (max === g) {
+		hue = 2 + (b - r) / chroma;
+	} else {
+		hue = 4 + (r - g) / chroma;
+	}
+
+	hue /= 6;
+	hue %= 1;
+
+	return [hue * 360, chroma * 100, grayscale * 100];
+};
+
+convert.hsl.hcg = function (hsl) {
+	const s = hsl[1] / 100;
+	const l = hsl[2] / 100;
+
+	const c = l < 0.5 ? (2.0 * s * l) : (2.0 * s * (1.0 - l));
+
+	let f = 0;
+	if (c < 1.0) {
+		f = (l - 0.5 * c) / (1.0 - c);
+	}
+
+	return [hsl[0], c * 100, f * 100];
+};
+
+convert.hsv.hcg = function (hsv) {
+	const s = hsv[1] / 100;
+	const v = hsv[2] / 100;
+
+	const c = s * v;
+	let f = 0;
+
+	if (c < 1.0) {
+		f = (v - c) / (1 - c);
+	}
+
+	return [hsv[0], c * 100, f * 100];
+};
+
+convert.hcg.rgb = function (hcg) {
+	const h = hcg[0] / 360;
+	const c = hcg[1] / 100;
+	const g = hcg[2] / 100;
+
+	if (c === 0.0) {
+		return [g * 255, g * 255, g * 255];
+	}
+
+	const pure = [0, 0, 0];
+	const hi = (h % 1) * 6;
+	const v = hi % 1;
+	const w = 1 - v;
+	let mg = 0;
+
+	/* eslint-disable max-statements-per-line */
+	switch (Math.floor(hi)) {
+		case 0:
+			pure[0] = 1; pure[1] = v; pure[2] = 0; break;
+		case 1:
+			pure[0] = w; pure[1] = 1; pure[2] = 0; break;
+		case 2:
+			pure[0] = 0; pure[1] = 1; pure[2] = v; break;
+		case 3:
+			pure[0] = 0; pure[1] = w; pure[2] = 1; break;
+		case 4:
+			pure[0] = v; pure[1] = 0; pure[2] = 1; break;
+		default:
+			pure[0] = 1; pure[1] = 0; pure[2] = w;
+	}
+	/* eslint-enable max-statements-per-line */
+
+	mg = (1.0 - c) * g;
+
+	return [
+		(c * pure[0] + mg) * 255,
+		(c * pure[1] + mg) * 255,
+		(c * pure[2] + mg) * 255
+	];
+};
+
+convert.hcg.hsv = function (hcg) {
+	const c = hcg[1] / 100;
+	const g = hcg[2] / 100;
+
+	const v = c + g * (1.0 - c);
+	let f = 0;
+
+	if (v > 0.0) {
+		f = c / v;
+	}
+
+	return [hcg[0], f * 100, v * 100];
+};
+
+convert.hcg.hsl = function (hcg) {
+	const c = hcg[1] / 100;
+	const g = hcg[2] / 100;
+
+	const l = g * (1.0 - c) + 0.5 * c;
+	let s = 0;
+
+	if (l > 0.0 && l < 0.5) {
+		s = c / (2 * l);
+	} else
+	if (l >= 0.5 && l < 1.0) {
+		s = c / (2 * (1 - l));
+	}
+
+	return [hcg[0], s * 100, l * 100];
+};
+
+convert.hcg.hwb = function (hcg) {
+	const c = hcg[1] / 100;
+	const g = hcg[2] / 100;
+	const v = c + g * (1.0 - c);
+	return [hcg[0], (v - c) * 100, (1 - v) * 100];
+};
+
+convert.hwb.hcg = function (hwb) {
+	const w = hwb[1] / 100;
+	const b = hwb[2] / 100;
+	const v = 1 - b;
+	const c = v - w;
+	let g = 0;
+
+	if (c < 1) {
+		g = (v - c) / (1 - c);
+	}
+
+	return [hwb[0], c * 100, g * 100];
+};
+
+convert.apple.rgb = function (apple) {
+	return [(apple[0] / 65535) * 255, (apple[1] / 65535) * 255, (apple[2] / 65535) * 255];
+};
+
+convert.rgb.apple = function (rgb) {
+	return [(rgb[0] / 255) * 65535, (rgb[1] / 255) * 65535, (rgb[2] / 255) * 65535];
+};
+
+convert.gray.rgb = function (args) {
+	return [args[0] / 100 * 255, args[0] / 100 * 255, args[0] / 100 * 255];
+};
+
+convert.gray.hsl = function (args) {
+	return [0, 0, args[0]];
+};
+
+convert.gray.hsv = convert.gray.hsl;
+
+convert.gray.hwb = function (gray) {
+	return [0, 100, gray[0]];
+};
+
+convert.gray.cmyk = function (gray) {
+	return [0, 0, 0, gray[0]];
+};
+
+convert.gray.lab = function (gray) {
+	return [gray[0], 0, 0];
+};
+
+convert.gray.hex = function (gray) {
+	const val = Math.round(gray[0] / 100 * 255) & 0xFF;
+	const integer = (val << 16) + (val << 8) + val;
+
+	const string = integer.toString(16).toUpperCase();
+	return '000000'.substring(string.length) + string;
+};
+
+convert.rgb.gray = function (rgb) {
+	const val = (rgb[0] + rgb[1] + rgb[2]) / 3;
+	return [val / 255 * 100];
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-convert/index.js b/node_modules/@jest/test-sequencer/node_modules/color-convert/index.js
new file mode 100644
index 000000000..b648e5737
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-convert/index.js
@@ -0,0 +1,81 @@
+const conversions = require('./conversions');
+const route = require('./route');
+
+const convert = {};
+
+const models = Object.keys(conversions);
+
+function wrapRaw(fn) {
+	const wrappedFn = function (...args) {
+		const arg0 = args[0];
+		if (arg0 === undefined || arg0 === null) {
+			return arg0;
+		}
+
+		if (arg0.length > 1) {
+			args = arg0;
+		}
+
+		return fn(args);
+	};
+
+	// Preserve .conversion property if there is one
+	if ('conversion' in fn) {
+		wrappedFn.conversion = fn.conversion;
+	}
+
+	return wrappedFn;
+}
+
+function wrapRounded(fn) {
+	const wrappedFn = function (...args) {
+		const arg0 = args[0];
+
+		if (arg0 === undefined || arg0 === null) {
+			return arg0;
+		}
+
+		if (arg0.length > 1) {
+			args = arg0;
+		}
+
+		const result = fn(args);
+
+		// We're assuming the result is an array here.
+		// see notice in conversions.js; don't use box types
+		// in conversion functions.
+		if (typeof result === 'object') {
+			for (let len = result.length, i = 0; i < len; i++) {
+				result[i] = Math.round(result[i]);
+			}
+		}
+
+		return result;
+	};
+
+	// Preserve .conversion property if there is one
+	if ('conversion' in fn) {
+		wrappedFn.conversion = fn.conversion;
+	}
+
+	return wrappedFn;
+}
+
+models.forEach(fromModel => {
+	convert[fromModel] = {};
+
+	Object.defineProperty(convert[fromModel], 'channels', {value: conversions[fromModel].channels});
+	Object.defineProperty(convert[fromModel], 'labels', {value: conversions[fromModel].labels});
+
+	const routes = route(fromModel);
+	const routeModels = Object.keys(routes);
+
+	routeModels.forEach(toModel => {
+		const fn = routes[toModel];
+
+		convert[fromModel][toModel] = wrapRounded(fn);
+		convert[fromModel][toModel].raw = wrapRaw(fn);
+	});
+});
+
+module.exports = convert;
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-convert/package.json b/node_modules/@jest/test-sequencer/node_modules/color-convert/package.json
new file mode 100644
index 000000000..8379f6d41
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-convert/package.json
@@ -0,0 +1,87 @@
+{
+  "_args": [
+    [
+      "color-convert@2.0.1",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "color-convert@2.0.1",
+  "_id": "color-convert@2.0.1",
+  "_inBundle": false,
+  "_integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==",
+  "_location": "/@jest/test-sequencer/color-convert",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "color-convert@2.0.1",
+    "name": "color-convert",
+    "escapedName": "color-convert",
+    "rawSpec": "2.0.1",
+    "saveSpec": null,
+    "fetchSpec": "2.0.1"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/ansi-styles"
+  ],
+  "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
+  "_spec": "2.0.1",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Heather Arthur",
+    "email": "fayearthur@gmail.com"
+  },
+  "bugs": {
+    "url": "https://github.com/Qix-/color-convert/issues"
+  },
+  "dependencies": {
+    "color-name": "~1.1.4"
+  },
+  "description": "Plain color conversion functions",
+  "devDependencies": {
+    "chalk": "^2.4.2",
+    "xo": "^0.24.0"
+  },
+  "engines": {
+    "node": ">=7.0.0"
+  },
+  "files": [
+    "index.js",
+    "conversions.js",
+    "route.js"
+  ],
+  "homepage": "https://github.com/Qix-/color-convert#readme",
+  "keywords": [
+    "color",
+    "colour",
+    "convert",
+    "converter",
+    "conversion",
+    "rgb",
+    "hsl",
+    "hsv",
+    "hwb",
+    "cmyk",
+    "ansi",
+    "ansi16"
+  ],
+  "license": "MIT",
+  "name": "color-convert",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/Qix-/color-convert.git"
+  },
+  "scripts": {
+    "pretest": "xo",
+    "test": "node test/basic.js"
+  },
+  "version": "2.0.1",
+  "xo": {
+    "rules": {
+      "default-case": 0,
+      "no-inline-comments": 0,
+      "operator-linebreak": 0
+    }
+  }
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-convert/route.js b/node_modules/@jest/test-sequencer/node_modules/color-convert/route.js
new file mode 100644
index 000000000..1a08521b5
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-convert/route.js
@@ -0,0 +1,97 @@
+const conversions = require('./conversions');
+
+/*
+	This function routes a model to all other models.
+
+	all functions that are routed have a property `.conversion` attached
+	to the returned synthetic function. This property is an array
+	of strings, each with the steps in between the 'from' and 'to'
+	color models (inclusive).
+
+	conversions that are not possible simply are not included.
+*/
+
+function buildGraph() {
+	const graph = {};
+	// https://jsperf.com/object-keys-vs-for-in-with-closure/3
+	const models = Object.keys(conversions);
+
+	for (let len = models.length, i = 0; i < len; i++) {
+		graph[models[i]] = {
+			// http://jsperf.com/1-vs-infinity
+			// micro-opt, but this is simple.
+			distance: -1,
+			parent: null
+		};
+	}
+
+	return graph;
+}
+
+// https://en.wikipedia.org/wiki/Breadth-first_search
+function deriveBFS(fromModel) {
+	const graph = buildGraph();
+	const queue = [fromModel]; // Unshift -> queue -> pop
+
+	graph[fromModel].distance = 0;
+
+	while (queue.length) {
+		const current = queue.pop();
+		const adjacents = Object.keys(conversions[current]);
+
+		for (let len = adjacents.length, i = 0; i < len; i++) {
+			const adjacent = adjacents[i];
+			const node = graph[adjacent];
+
+			if (node.distance === -1) {
+				node.distance = graph[current].distance + 1;
+				node.parent = current;
+				queue.unshift(adjacent);
+			}
+		}
+	}
+
+	return graph;
+}
+
+function link(from, to) {
+	return function (args) {
+		return to(from(args));
+	};
+}
+
+function wrapConversion(toModel, graph) {
+	const path = [graph[toModel].parent, toModel];
+	let fn = conversions[graph[toModel].parent][toModel];
+
+	let cur = graph[toModel].parent;
+	while (graph[cur].parent) {
+		path.unshift(graph[cur].parent);
+		fn = link(conversions[graph[cur].parent][cur], fn);
+		cur = graph[cur].parent;
+	}
+
+	fn.conversion = path;
+	return fn;
+}
+
+module.exports = function (fromModel) {
+	const graph = deriveBFS(fromModel);
+	const conversion = {};
+
+	const models = Object.keys(graph);
+	for (let len = models.length, i = 0; i < len; i++) {
+		const toModel = models[i];
+		const node = graph[toModel];
+
+		if (node.parent === null) {
+			// No possible conversion, or this node is the source model.
+			continue;
+		}
+
+		conversion[toModel] = wrapConversion(toModel, graph);
+	}
+
+	return conversion;
+};
+
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-name/LICENSE b/node_modules/@jest/test-sequencer/node_modules/color-name/LICENSE
new file mode 100644
index 000000000..c6b100125
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-name/LICENSE
@@ -0,0 +1,8 @@
+The MIT License (MIT)
+Copyright (c) 2015 Dmitry Ivanov
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
\ No newline at end of file
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-name/README.md b/node_modules/@jest/test-sequencer/node_modules/color-name/README.md
new file mode 100644
index 000000000..932b97917
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-name/README.md
@@ -0,0 +1,11 @@
+A JSON with color names and its values. Based on http://dev.w3.org/csswg/css-color/#named-colors.
+
+[![NPM](https://nodei.co/npm/color-name.png?mini=true)](https://nodei.co/npm/color-name/)
+
+
+```js
+var colors = require('color-name');
+colors.red //[255,0,0]
+```
+
+<a href="LICENSE"><img src="https://upload.wikimedia.org/wikipedia/commons/0/0c/MIT_logo.svg" width="120"/></a>
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-name/index.js b/node_modules/@jest/test-sequencer/node_modules/color-name/index.js
new file mode 100644
index 000000000..b7c198a6f
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-name/index.js
@@ -0,0 +1,152 @@
+'use strict'
+
+module.exports = {
+	"aliceblue": [240, 248, 255],
+	"antiquewhite": [250, 235, 215],
+	"aqua": [0, 255, 255],
+	"aquamarine": [127, 255, 212],
+	"azure": [240, 255, 255],
+	"beige": [245, 245, 220],
+	"bisque": [255, 228, 196],
+	"black": [0, 0, 0],
+	"blanchedalmond": [255, 235, 205],
+	"blue": [0, 0, 255],
+	"blueviolet": [138, 43, 226],
+	"brown": [165, 42, 42],
+	"burlywood": [222, 184, 135],
+	"cadetblue": [95, 158, 160],
+	"chartreuse": [127, 255, 0],
+	"chocolate": [210, 105, 30],
+	"coral": [255, 127, 80],
+	"cornflowerblue": [100, 149, 237],
+	"cornsilk": [255, 248, 220],
+	"crimson": [220, 20, 60],
+	"cyan": [0, 255, 255],
+	"darkblue": [0, 0, 139],
+	"darkcyan": [0, 139, 139],
+	"darkgoldenrod": [184, 134, 11],
+	"darkgray": [169, 169, 169],
+	"darkgreen": [0, 100, 0],
+	"darkgrey": [169, 169, 169],
+	"darkkhaki": [189, 183, 107],
+	"darkmagenta": [139, 0, 139],
+	"darkolivegreen": [85, 107, 47],
+	"darkorange": [255, 140, 0],
+	"darkorchid": [153, 50, 204],
+	"darkred": [139, 0, 0],
+	"darksalmon": [233, 150, 122],
+	"darkseagreen": [143, 188, 143],
+	"darkslateblue": [72, 61, 139],
+	"darkslategray": [47, 79, 79],
+	"darkslategrey": [47, 79, 79],
+	"darkturquoise": [0, 206, 209],
+	"darkviolet": [148, 0, 211],
+	"deeppink": [255, 20, 147],
+	"deepskyblue": [0, 191, 255],
+	"dimgray": [105, 105, 105],
+	"dimgrey": [105, 105, 105],
+	"dodgerblue": [30, 144, 255],
+	"firebrick": [178, 34, 34],
+	"floralwhite": [255, 250, 240],
+	"forestgreen": [34, 139, 34],
+	"fuchsia": [255, 0, 255],
+	"gainsboro": [220, 220, 220],
+	"ghostwhite": [248, 248, 255],
+	"gold": [255, 215, 0],
+	"goldenrod": [218, 165, 32],
+	"gray": [128, 128, 128],
+	"green": [0, 128, 0],
+	"greenyellow": [173, 255, 47],
+	"grey": [128, 128, 128],
+	"honeydew": [240, 255, 240],
+	"hotpink": [255, 105, 180],
+	"indianred": [205, 92, 92],
+	"indigo": [75, 0, 130],
+	"ivory": [255, 255, 240],
+	"khaki": [240, 230, 140],
+	"lavender": [230, 230, 250],
+	"lavenderblush": [255, 240, 245],
+	"lawngreen": [124, 252, 0],
+	"lemonchiffon": [255, 250, 205],
+	"lightblue": [173, 216, 230],
+	"lightcoral": [240, 128, 128],
+	"lightcyan": [224, 255, 255],
+	"lightgoldenrodyellow": [250, 250, 210],
+	"lightgray": [211, 211, 211],
+	"lightgreen": [144, 238, 144],
+	"lightgrey": [211, 211, 211],
+	"lightpink": [255, 182, 193],
+	"lightsalmon": [255, 160, 122],
+	"lightseagreen": [32, 178, 170],
+	"lightskyblue": [135, 206, 250],
+	"lightslategray": [119, 136, 153],
+	"lightslategrey": [119, 136, 153],
+	"lightsteelblue": [176, 196, 222],
+	"lightyellow": [255, 255, 224],
+	"lime": [0, 255, 0],
+	"limegreen": [50, 205, 50],
+	"linen": [250, 240, 230],
+	"magenta": [255, 0, 255],
+	"maroon": [128, 0, 0],
+	"mediumaquamarine": [102, 205, 170],
+	"mediumblue": [0, 0, 205],
+	"mediumorchid": [186, 85, 211],
+	"mediumpurple": [147, 112, 219],
+	"mediumseagreen": [60, 179, 113],
+	"mediumslateblue": [123, 104, 238],
+	"mediumspringgreen": [0, 250, 154],
+	"mediumturquoise": [72, 209, 204],
+	"mediumvioletred": [199, 21, 133],
+	"midnightblue": [25, 25, 112],
+	"mintcream": [245, 255, 250],
+	"mistyrose": [255, 228, 225],
+	"moccasin": [255, 228, 181],
+	"navajowhite": [255, 222, 173],
+	"navy": [0, 0, 128],
+	"oldlace": [253, 245, 230],
+	"olive": [128, 128, 0],
+	"olivedrab": [107, 142, 35],
+	"orange": [255, 165, 0],
+	"orangered": [255, 69, 0],
+	"orchid": [218, 112, 214],
+	"palegoldenrod": [238, 232, 170],
+	"palegreen": [152, 251, 152],
+	"paleturquoise": [175, 238, 238],
+	"palevioletred": [219, 112, 147],
+	"papayawhip": [255, 239, 213],
+	"peachpuff": [255, 218, 185],
+	"peru": [205, 133, 63],
+	"pink": [255, 192, 203],
+	"plum": [221, 160, 221],
+	"powderblue": [176, 224, 230],
+	"purple": [128, 0, 128],
+	"rebeccapurple": [102, 51, 153],
+	"red": [255, 0, 0],
+	"rosybrown": [188, 143, 143],
+	"royalblue": [65, 105, 225],
+	"saddlebrown": [139, 69, 19],
+	"salmon": [250, 128, 114],
+	"sandybrown": [244, 164, 96],
+	"seagreen": [46, 139, 87],
+	"seashell": [255, 245, 238],
+	"sienna": [160, 82, 45],
+	"silver": [192, 192, 192],
+	"skyblue": [135, 206, 235],
+	"slateblue": [106, 90, 205],
+	"slategray": [112, 128, 144],
+	"slategrey": [112, 128, 144],
+	"snow": [255, 250, 250],
+	"springgreen": [0, 255, 127],
+	"steelblue": [70, 130, 180],
+	"tan": [210, 180, 140],
+	"teal": [0, 128, 128],
+	"thistle": [216, 191, 216],
+	"tomato": [255, 99, 71],
+	"turquoise": [64, 224, 208],
+	"violet": [238, 130, 238],
+	"wheat": [245, 222, 179],
+	"white": [255, 255, 255],
+	"whitesmoke": [245, 245, 245],
+	"yellow": [255, 255, 0],
+	"yellowgreen": [154, 205, 50]
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/color-name/package.json b/node_modules/@jest/test-sequencer/node_modules/color-name/package.json
new file mode 100644
index 000000000..35735e6a8
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/color-name/package.json
@@ -0,0 +1,60 @@
+{
+  "_args": [
+    [
+      "color-name@1.1.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "color-name@1.1.4",
+  "_id": "color-name@1.1.4",
+  "_inBundle": false,
+  "_integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==",
+  "_location": "/@jest/test-sequencer/color-name",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "color-name@1.1.4",
+    "name": "color-name",
+    "escapedName": "color-name",
+    "rawSpec": "1.1.4",
+    "saveSpec": null,
+    "fetchSpec": "1.1.4"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/color-convert"
+  ],
+  "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
+  "_spec": "1.1.4",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "DY",
+    "email": "dfcreative@gmail.com"
+  },
+  "bugs": {
+    "url": "https://github.com/colorjs/color-name/issues"
+  },
+  "description": "A list of color names and its values",
+  "files": [
+    "index.js"
+  ],
+  "homepage": "https://github.com/colorjs/color-name",
+  "keywords": [
+    "color-name",
+    "color",
+    "color-keyword",
+    "keyword"
+  ],
+  "license": "MIT",
+  "main": "index.js",
+  "name": "color-name",
+  "repository": {
+    "type": "git",
+    "url": "git+ssh://git@github.com/colorjs/color-name.git"
+  },
+  "scripts": {
+    "test": "node test.js"
+  },
+  "version": "1.1.4"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/index.d.ts
new file mode 100644
index 000000000..7d34edc7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/index.d.ts
@@ -0,0 +1,18 @@
+/**
+Escape RegExp special characters.
+
+You can also use this to escape a string that is inserted into the middle of a regex, for example, into a character class.
+
+@example
+```
+import escapeStringRegexp = require('escape-string-regexp');
+
+const escapedString = escapeStringRegexp('How much $ for a 🦄?');
+//=> 'How much \\$ for a 🦄\\?'
+
+new RegExp(escapedString);
+```
+*/
+declare const escapeStringRegexp: (string: string) => string;
+
+export = escapeStringRegexp;
diff --git a/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/index.js b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/index.js
new file mode 100644
index 000000000..58217a4ef
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/index.js
@@ -0,0 +1,11 @@
+'use strict';
+
+const matchOperatorsRegex = /[|\\{}()[\]^$+*?.-]/g;
+
+module.exports = string => {
+	if (typeof string !== 'string') {
+		throw new TypeError('Expected a string');
+	}
+
+	return string.replace(matchOperatorsRegex, '\\$&');
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/license b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/license
new file mode 100644
index 000000000..e7af2f771
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/license
@@ -0,0 +1,9 @@
+MIT License
+
+Copyright (c) Sindre Sorhus <sindresorhus@gmail.com> (sindresorhus.com)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/package.json b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/package.json
new file mode 100644
index 000000000..a483d8435
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/package.json
@@ -0,0 +1,87 @@
+{
+  "_args": [
+    [
+      "escape-string-regexp@2.0.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "escape-string-regexp@2.0.0",
+  "_id": "escape-string-regexp@2.0.0",
+  "_inBundle": false,
+  "_integrity": "sha512-UpzcLCXolUWcNu5HtVMHYdXJjArjsF9C0aNnquZYY4uW/Vu0miy5YoWvbV345HauVvcAUnpRuhMMcqTcGOY2+w==",
+  "_location": "/@jest/test-sequencer/escape-string-regexp",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "escape-string-regexp@2.0.0",
+    "name": "escape-string-regexp",
+    "escapedName": "escape-string-regexp",
+    "rawSpec": "2.0.0",
+    "saveSpec": null,
+    "fetchSpec": "2.0.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/stack-utils"
+  ],
+  "_resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-2.0.0.tgz",
+  "_spec": "2.0.0",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Sindre Sorhus",
+    "email": "sindresorhus@gmail.com",
+    "url": "sindresorhus.com"
+  },
+  "bugs": {
+    "url": "https://github.com/sindresorhus/escape-string-regexp/issues"
+  },
+  "description": "Escape RegExp special characters",
+  "devDependencies": {
+    "ava": "^1.4.1",
+    "tsd": "^0.7.2",
+    "xo": "^0.24.0"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "index.js",
+    "index.d.ts"
+  ],
+  "homepage": "https://github.com/sindresorhus/escape-string-regexp#readme",
+  "keywords": [
+    "escape",
+    "regex",
+    "regexp",
+    "re",
+    "regular",
+    "expression",
+    "string",
+    "str",
+    "special",
+    "characters"
+  ],
+  "license": "MIT",
+  "maintainers": [
+    {
+      "name": "Sindre Sorhus",
+      "email": "sindresorhus@gmail.com",
+      "url": "sindresorhus.com"
+    },
+    {
+      "name": "Joshua Boy Nicolai Appelman",
+      "email": "joshua@jbna.nl",
+      "url": "jbna.nl"
+    }
+  ],
+  "name": "escape-string-regexp",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/sindresorhus/escape-string-regexp.git"
+  },
+  "scripts": {
+    "test": "xo && ava && tsd"
+  },
+  "version": "2.0.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/readme.md b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/readme.md
new file mode 100644
index 000000000..157472b7a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/escape-string-regexp/readme.md
@@ -0,0 +1,29 @@
+# escape-string-regexp [![Build Status](https://travis-ci.org/sindresorhus/escape-string-regexp.svg?branch=master)](https://travis-ci.org/sindresorhus/escape-string-regexp)
+
+> Escape RegExp special characters
+
+
+## Install
+
+```
+$ npm install escape-string-regexp
+```
+
+
+## Usage
+
+```js
+const escapeStringRegexp = require('escape-string-regexp');
+
+const escapedString = escapeStringRegexp('How much $ for a 🦄?');
+//=> 'How much \\$ for a 🦄\\?'
+
+new RegExp(escapedString);
+```
+
+You can also use this to escape a string that is inserted into the middle of a regex, for example, into a character class.
+
+
+## License
+
+MIT © [Sindre Sorhus](https://sindresorhus.com)
diff --git a/node_modules/@jest/test-sequencer/node_modules/has-flag/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/has-flag/index.d.ts
new file mode 100644
index 000000000..a0a48c891
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/has-flag/index.d.ts
@@ -0,0 +1,39 @@
+/**
+Check if [`argv`](https://nodejs.org/docs/latest/api/process.html#process_process_argv) has a specific flag.
+
+@param flag - CLI flag to look for. The `--` prefix is optional.
+@param argv - CLI arguments. Default: `process.argv`.
+@returns Whether the flag exists.
+
+@example
+```
+// $ ts-node foo.ts -f --unicorn --foo=bar -- --rainbow
+
+// foo.ts
+import hasFlag = require('has-flag');
+
+hasFlag('unicorn');
+//=> true
+
+hasFlag('--unicorn');
+//=> true
+
+hasFlag('f');
+//=> true
+
+hasFlag('-f');
+//=> true
+
+hasFlag('foo=bar');
+//=> true
+
+hasFlag('foo');
+//=> false
+
+hasFlag('rainbow');
+//=> false
+```
+*/
+declare function hasFlag(flag: string, argv?: string[]): boolean;
+
+export = hasFlag;
diff --git a/node_modules/@jest/test-sequencer/node_modules/has-flag/index.js b/node_modules/@jest/test-sequencer/node_modules/has-flag/index.js
new file mode 100644
index 000000000..b6f80b1f8
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/has-flag/index.js
@@ -0,0 +1,8 @@
+'use strict';
+
+module.exports = (flag, argv = process.argv) => {
+	const prefix = flag.startsWith('-') ? '' : (flag.length === 1 ? '-' : '--');
+	const position = argv.indexOf(prefix + flag);
+	const terminatorPosition = argv.indexOf('--');
+	return position !== -1 && (terminatorPosition === -1 || position < terminatorPosition);
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/has-flag/license b/node_modules/@jest/test-sequencer/node_modules/has-flag/license
new file mode 100644
index 000000000..e7af2f771
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/has-flag/license
@@ -0,0 +1,9 @@
+MIT License
+
+Copyright (c) Sindre Sorhus <sindresorhus@gmail.com> (sindresorhus.com)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/has-flag/package.json b/node_modules/@jest/test-sequencer/node_modules/has-flag/package.json
new file mode 100644
index 000000000..a75fec3e7
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/has-flag/package.json
@@ -0,0 +1,82 @@
+{
+  "_args": [
+    [
+      "has-flag@4.0.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "has-flag@4.0.0",
+  "_id": "has-flag@4.0.0",
+  "_inBundle": false,
+  "_integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+  "_location": "/@jest/test-sequencer/has-flag",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "has-flag@4.0.0",
+    "name": "has-flag",
+    "escapedName": "has-flag",
+    "rawSpec": "4.0.0",
+    "saveSpec": null,
+    "fetchSpec": "4.0.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/supports-color"
+  ],
+  "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
+  "_spec": "4.0.0",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Sindre Sorhus",
+    "email": "sindresorhus@gmail.com",
+    "url": "sindresorhus.com"
+  },
+  "bugs": {
+    "url": "https://github.com/sindresorhus/has-flag/issues"
+  },
+  "description": "Check if argv has a specific flag",
+  "devDependencies": {
+    "ava": "^1.4.1",
+    "tsd": "^0.7.2",
+    "xo": "^0.24.0"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "index.js",
+    "index.d.ts"
+  ],
+  "homepage": "https://github.com/sindresorhus/has-flag#readme",
+  "keywords": [
+    "has",
+    "check",
+    "detect",
+    "contains",
+    "find",
+    "flag",
+    "cli",
+    "command-line",
+    "argv",
+    "process",
+    "arg",
+    "args",
+    "argument",
+    "arguments",
+    "getopt",
+    "minimist",
+    "optimist"
+  ],
+  "license": "MIT",
+  "name": "has-flag",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/sindresorhus/has-flag.git"
+  },
+  "scripts": {
+    "test": "xo && ava && tsd"
+  },
+  "version": "4.0.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/has-flag/readme.md b/node_modules/@jest/test-sequencer/node_modules/has-flag/readme.md
new file mode 100644
index 000000000..3f72dff29
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/has-flag/readme.md
@@ -0,0 +1,89 @@
+# has-flag [![Build Status](https://travis-ci.org/sindresorhus/has-flag.svg?branch=master)](https://travis-ci.org/sindresorhus/has-flag)
+
+> Check if [`argv`](https://nodejs.org/docs/latest/api/process.html#process_process_argv) has a specific flag
+
+Correctly stops looking after an `--` argument terminator.
+
+---
+
+<div align="center">
+	<b>
+		<a href="https://tidelift.com/subscription/pkg/npm-has-flag?utm_source=npm-has-flag&utm_medium=referral&utm_campaign=readme">Get professional support for this package with a Tidelift subscription</a>
+	</b>
+	<br>
+	<sub>
+		Tidelift helps make open source sustainable for maintainers while giving companies<br>assurances about security, maintenance, and licensing for their dependencies.
+	</sub>
+</div>
+
+---
+
+
+## Install
+
+```
+$ npm install has-flag
+```
+
+
+## Usage
+
+```js
+// foo.js
+const hasFlag = require('has-flag');
+
+hasFlag('unicorn');
+//=> true
+
+hasFlag('--unicorn');
+//=> true
+
+hasFlag('f');
+//=> true
+
+hasFlag('-f');
+//=> true
+
+hasFlag('foo=bar');
+//=> true
+
+hasFlag('foo');
+//=> false
+
+hasFlag('rainbow');
+//=> false
+```
+
+```
+$ node foo.js -f --unicorn --foo=bar -- --rainbow
+```
+
+
+## API
+
+### hasFlag(flag, [argv])
+
+Returns a boolean for whether the flag exists.
+
+#### flag
+
+Type: `string`
+
+CLI flag to look for. The `--` prefix is optional.
+
+#### argv
+
+Type: `string[]`<br>
+Default: `process.argv`
+
+CLI arguments.
+
+
+## Security
+
+To report a security vulnerability, please use the [Tidelift security contact](https://tidelift.com/security). Tidelift will coordinate the fix and disclosure.
+
+
+## License
+
+MIT © [Sindre Sorhus](https://sindresorhus.com)
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/LICENSE b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/HasteFS.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/HasteFS.d.ts
new file mode 100644
index 000000000..93cc4046c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/HasteFS.d.ts
@@ -0,0 +1,27 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import type { FileData } from './types';
+export default class HasteFS {
+    private readonly _rootDir;
+    private readonly _files;
+    constructor({ rootDir, files }: {
+        rootDir: Config.Path;
+        files: FileData;
+    });
+    getModuleName(file: Config.Path): string | null;
+    getSize(file: Config.Path): number | null;
+    getDependencies(file: Config.Path): Array<string> | null;
+    getSha1(file: Config.Path): string | null;
+    exists(file: Config.Path): boolean;
+    getAllFiles(): Array<Config.Path>;
+    getFileIterator(): Iterable<Config.Path>;
+    getAbsoluteFileIterator(): Iterable<Config.Path>;
+    matchFiles(pattern: RegExp | string): Array<Config.Path>;
+    matchFilesWithGlob(globs: Array<Config.Glob>, root: Config.Path | null): Set<Config.Path>;
+    private _getFileData;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/HasteFS.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/HasteFS.js
new file mode 100644
index 000000000..9c3037624
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/HasteFS.js
@@ -0,0 +1,179 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _jestUtil() {
+  const data = require('jest-util');
+
+  _jestUtil = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var fastPath = _interopRequireWildcard(require('./lib/fast_path'));
+
+var _constants = _interopRequireDefault(require('./constants'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+class HasteFS {
+  constructor({rootDir, files}) {
+    _defineProperty(this, '_rootDir', void 0);
+
+    _defineProperty(this, '_files', void 0);
+
+    this._rootDir = rootDir;
+    this._files = files;
+  }
+
+  getModuleName(file) {
+    const fileMetadata = this._getFileData(file);
+
+    return (fileMetadata && fileMetadata[_constants.default.ID]) || null;
+  }
+
+  getSize(file) {
+    const fileMetadata = this._getFileData(file);
+
+    return (fileMetadata && fileMetadata[_constants.default.SIZE]) || null;
+  }
+
+  getDependencies(file) {
+    const fileMetadata = this._getFileData(file);
+
+    if (fileMetadata) {
+      return fileMetadata[_constants.default.DEPENDENCIES]
+        ? fileMetadata[_constants.default.DEPENDENCIES].split(
+            _constants.default.DEPENDENCY_DELIM
+          )
+        : [];
+    } else {
+      return null;
+    }
+  }
+
+  getSha1(file) {
+    const fileMetadata = this._getFileData(file);
+
+    return (fileMetadata && fileMetadata[_constants.default.SHA1]) || null;
+  }
+
+  exists(file) {
+    return this._getFileData(file) != null;
+  }
+
+  getAllFiles() {
+    return Array.from(this.getAbsoluteFileIterator());
+  }
+
+  getFileIterator() {
+    return this._files.keys();
+  }
+
+  *getAbsoluteFileIterator() {
+    for (const file of this.getFileIterator()) {
+      yield fastPath.resolve(this._rootDir, file);
+    }
+  }
+
+  matchFiles(pattern) {
+    if (!(pattern instanceof RegExp)) {
+      pattern = new RegExp(pattern);
+    }
+
+    const files = [];
+
+    for (const file of this.getAbsoluteFileIterator()) {
+      if (pattern.test(file)) {
+        files.push(file);
+      }
+    }
+
+    return files;
+  }
+
+  matchFilesWithGlob(globs, root) {
+    const files = new Set();
+    const matcher = (0, _jestUtil().globsToMatcher)(globs);
+
+    for (const file of this.getAbsoluteFileIterator()) {
+      const filePath = root ? fastPath.relative(root, file) : file;
+
+      if (matcher((0, _jestUtil().replacePathSepForGlob)(filePath))) {
+        files.add(file);
+      }
+    }
+
+    return files;
+  }
+
+  _getFileData(file) {
+    const relativePath = fastPath.relative(this._rootDir, file);
+    return this._files.get(relativePath);
+  }
+}
+
+exports.default = HasteFS;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/ModuleMap.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/ModuleMap.d.ts
new file mode 100644
index 000000000..b9f682dbf
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/ModuleMap.d.ts
@@ -0,0 +1,48 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+import type { DuplicatesSet, HTypeValue, MockData, ModuleMapData, RawModuleMap } from './types';
+declare type ValueType<T> = T extends Map<string, infer V> ? V : never;
+export declare type SerializableModuleMap = {
+    duplicates: ReadonlyArray<[string, [string, [string, [string, number]]]]>;
+    map: ReadonlyArray<[string, ValueType<ModuleMapData>]>;
+    mocks: ReadonlyArray<[string, ValueType<MockData>]>;
+    rootDir: Config.Path;
+};
+export default class ModuleMap {
+    static DuplicateHasteCandidatesError: typeof DuplicateHasteCandidatesError;
+    private readonly _raw;
+    private json;
+    private static mapToArrayRecursive;
+    private static mapFromArrayRecursive;
+    constructor(raw: RawModuleMap);
+    getModule(name: string, platform?: string | null, supportsNativePlatform?: boolean | null, type?: HTypeValue | null): Config.Path | null;
+    getPackage(name: string, platform: string | null | undefined, _supportsNativePlatform: boolean | null): Config.Path | null;
+    getMockModule(name: string): Config.Path | undefined;
+    getRawModuleMap(): RawModuleMap;
+    toJSON(): SerializableModuleMap;
+    static fromJSON(serializableModuleMap: SerializableModuleMap): ModuleMap;
+    /**
+     * When looking up a module's data, we walk through each eligible platform for
+     * the query. For each platform, we want to check if there are known
+     * duplicates for that name+platform pair. The duplication logic normally
+     * removes elements from the `map` object, but we want to check upfront to be
+     * extra sure. If metadata exists both in the `duplicates` object and the
+     * `map`, this would be a bug.
+     */
+    private _getModuleMetadata;
+    private _assertNoDuplicates;
+    static create(rootDir: Config.Path): ModuleMap;
+}
+declare class DuplicateHasteCandidatesError extends Error {
+    hasteName: string;
+    platform: string | null;
+    supportsNativePlatform: boolean;
+    duplicatesSet: DuplicatesSet;
+    constructor(name: string, platform: string, supportsNativePlatform: boolean, duplicatesSet: DuplicatesSet);
+}
+export {};
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/ModuleMap.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/ModuleMap.js
new file mode 100644
index 000000000..0e2d1c5f1
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/ModuleMap.js
@@ -0,0 +1,305 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var fastPath = _interopRequireWildcard(require('./lib/fast_path'));
+
+var _constants = _interopRequireDefault(require('./constants'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+const EMPTY_OBJ = {};
+const EMPTY_MAP = new Map();
+
+class ModuleMap {
+  static mapToArrayRecursive(map) {
+    let arr = Array.from(map);
+
+    if (arr[0] && arr[0][1] instanceof Map) {
+      arr = arr.map(el => [el[0], this.mapToArrayRecursive(el[1])]);
+    }
+
+    return arr;
+  }
+
+  static mapFromArrayRecursive(arr) {
+    if (arr[0] && Array.isArray(arr[1])) {
+      arr = arr.map(el => [el[0], this.mapFromArrayRecursive(el[1])]);
+    }
+
+    return new Map(arr);
+  }
+
+  constructor(raw) {
+    _defineProperty(this, '_raw', void 0);
+
+    _defineProperty(this, 'json', void 0);
+
+    this._raw = raw;
+  }
+
+  getModule(name, platform, supportsNativePlatform, type) {
+    if (type == null) {
+      type = _constants.default.MODULE;
+    }
+
+    const module = this._getModuleMetadata(
+      name,
+      platform,
+      !!supportsNativePlatform
+    );
+
+    if (module && module[_constants.default.TYPE] === type) {
+      const modulePath = module[_constants.default.PATH];
+      return modulePath && fastPath.resolve(this._raw.rootDir, modulePath);
+    }
+
+    return null;
+  }
+
+  getPackage(name, platform, _supportsNativePlatform) {
+    return this.getModule(name, platform, null, _constants.default.PACKAGE);
+  }
+
+  getMockModule(name) {
+    const mockPath =
+      this._raw.mocks.get(name) || this._raw.mocks.get(name + '/index');
+
+    return mockPath && fastPath.resolve(this._raw.rootDir, mockPath);
+  }
+
+  getRawModuleMap() {
+    return {
+      duplicates: this._raw.duplicates,
+      map: this._raw.map,
+      mocks: this._raw.mocks,
+      rootDir: this._raw.rootDir
+    };
+  }
+
+  toJSON() {
+    if (!this.json) {
+      this.json = {
+        duplicates: ModuleMap.mapToArrayRecursive(this._raw.duplicates),
+        map: Array.from(this._raw.map),
+        mocks: Array.from(this._raw.mocks),
+        rootDir: this._raw.rootDir
+      };
+    }
+
+    return this.json;
+  }
+
+  static fromJSON(serializableModuleMap) {
+    return new ModuleMap({
+      duplicates: ModuleMap.mapFromArrayRecursive(
+        serializableModuleMap.duplicates
+      ),
+      map: new Map(serializableModuleMap.map),
+      mocks: new Map(serializableModuleMap.mocks),
+      rootDir: serializableModuleMap.rootDir
+    });
+  }
+  /**
+   * When looking up a module's data, we walk through each eligible platform for
+   * the query. For each platform, we want to check if there are known
+   * duplicates for that name+platform pair. The duplication logic normally
+   * removes elements from the `map` object, but we want to check upfront to be
+   * extra sure. If metadata exists both in the `duplicates` object and the
+   * `map`, this would be a bug.
+   */
+
+  _getModuleMetadata(name, platform, supportsNativePlatform) {
+    const map = this._raw.map.get(name) || EMPTY_OBJ;
+    const dupMap = this._raw.duplicates.get(name) || EMPTY_MAP;
+
+    if (platform != null) {
+      this._assertNoDuplicates(
+        name,
+        platform,
+        supportsNativePlatform,
+        dupMap.get(platform)
+      );
+
+      if (map[platform] != null) {
+        return map[platform];
+      }
+    }
+
+    if (supportsNativePlatform) {
+      this._assertNoDuplicates(
+        name,
+        _constants.default.NATIVE_PLATFORM,
+        supportsNativePlatform,
+        dupMap.get(_constants.default.NATIVE_PLATFORM)
+      );
+
+      if (map[_constants.default.NATIVE_PLATFORM]) {
+        return map[_constants.default.NATIVE_PLATFORM];
+      }
+    }
+
+    this._assertNoDuplicates(
+      name,
+      _constants.default.GENERIC_PLATFORM,
+      supportsNativePlatform,
+      dupMap.get(_constants.default.GENERIC_PLATFORM)
+    );
+
+    if (map[_constants.default.GENERIC_PLATFORM]) {
+      return map[_constants.default.GENERIC_PLATFORM];
+    }
+
+    return null;
+  }
+
+  _assertNoDuplicates(name, platform, supportsNativePlatform, relativePathSet) {
+    if (relativePathSet == null) {
+      return;
+    } // Force flow refinement
+
+    const previousSet = relativePathSet;
+    const duplicates = new Map();
+
+    for (const [relativePath, type] of previousSet) {
+      const duplicatePath = fastPath.resolve(this._raw.rootDir, relativePath);
+      duplicates.set(duplicatePath, type);
+    }
+
+    throw new DuplicateHasteCandidatesError(
+      name,
+      platform,
+      supportsNativePlatform,
+      duplicates
+    );
+  }
+
+  static create(rootDir) {
+    return new ModuleMap({
+      duplicates: new Map(),
+      map: new Map(),
+      mocks: new Map(),
+      rootDir
+    });
+  }
+}
+
+exports.default = ModuleMap;
+
+_defineProperty(ModuleMap, 'DuplicateHasteCandidatesError', void 0);
+
+class DuplicateHasteCandidatesError extends Error {
+  constructor(name, platform, supportsNativePlatform, duplicatesSet) {
+    const platformMessage = getPlatformMessage(platform);
+    super(
+      `The name \`${name}\` was looked up in the Haste module map. It ` +
+        `cannot be resolved, because there exists several different ` +
+        `files, or packages, that provide a module for ` +
+        `that particular name and platform. ${platformMessage} You must ` +
+        `delete or blacklist files until there remains only one of these:\n\n` +
+        Array.from(duplicatesSet)
+          .map(
+            ([dupFilePath, dupFileType]) =>
+              `  * \`${dupFilePath}\` (${getTypeMessage(dupFileType)})\n`
+          )
+          .sort()
+          .join('')
+    );
+
+    _defineProperty(this, 'hasteName', void 0);
+
+    _defineProperty(this, 'platform', void 0);
+
+    _defineProperty(this, 'supportsNativePlatform', void 0);
+
+    _defineProperty(this, 'duplicatesSet', void 0);
+
+    this.hasteName = name;
+    this.platform = platform;
+    this.supportsNativePlatform = supportsNativePlatform;
+    this.duplicatesSet = duplicatesSet;
+  }
+}
+
+function getPlatformMessage(platform) {
+  if (platform === _constants.default.GENERIC_PLATFORM) {
+    return 'The platform is generic (no extension).';
+  }
+
+  return `The platform extension is \`${platform}\`.`;
+}
+
+function getTypeMessage(type) {
+  switch (type) {
+    case _constants.default.MODULE:
+      return 'module';
+
+    case _constants.default.PACKAGE:
+      return 'package';
+  }
+
+  return 'unknown';
+}
+
+ModuleMap.DuplicateHasteCandidatesError = DuplicateHasteCandidatesError;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/blacklist.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/blacklist.d.ts
new file mode 100644
index 000000000..c29223113
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/blacklist.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare const extensions: Set<string>;
+export default extensions;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/blacklist.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/blacklist.js
new file mode 100644
index 000000000..190a3988c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/blacklist.js
@@ -0,0 +1,59 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// This list is compiled after the MDN list of the most common MIME types (see
+// https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/MIME_types/
+// Complete_list_of_MIME_types).
+//
+// Only MIME types starting with "image/", "video/", "audio/" and "font/" are
+// reflected in the list. Adding "application/" is too risky since some text
+// file formats (like ".js" and ".json") have an "application/" MIME type.
+//
+// Feel free to add any extensions that cannot be a Haste module.
+const extensions = new Set([
+  // JSONs are never haste modules, except for "package.json", which is handled.
+  '.json', // Image extensions.
+  '.bmp',
+  '.gif',
+  '.ico',
+  '.jpeg',
+  '.jpg',
+  '.png',
+  '.svg',
+  '.tiff',
+  '.tif',
+  '.webp', // Video extensions.
+  '.avi',
+  '.mp4',
+  '.mpeg',
+  '.mpg',
+  '.ogv',
+  '.webm',
+  '.3gp',
+  '.3g2', // Audio extensions.
+  '.aac',
+  '.midi',
+  '.mid',
+  '.mp3',
+  '.oga',
+  '.wav',
+  '.3gp',
+  '.3g2', // Font extensions.
+  '.eot',
+  '.otf',
+  '.ttf',
+  '.woff',
+  '.woff2'
+]);
+var _default = extensions;
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/constants.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/constants.d.ts
new file mode 100644
index 000000000..b41896900
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/constants.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { HType } from './types';
+declare const constants: HType;
+export default constants;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/constants.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/constants.js
new file mode 100644
index 000000000..2269de4fc
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/constants.js
@@ -0,0 +1,52 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+/*
+ * This file exports a set of constants that are used for Jest's haste map
+ * serialization. On very large repositories, the haste map cache becomes very
+ * large to the point where it is the largest overhead in starting up Jest.
+ *
+ * This constant key map allows to keep the map smaller without having to build
+ * a custom serialization library.
+ */
+
+/* eslint-disable sort-keys */
+const constants = {
+  /* dependency serialization */
+  DEPENDENCY_DELIM: '\0',
+
+  /* file map attributes */
+  ID: 0,
+  MTIME: 1,
+  SIZE: 2,
+  VISITED: 3,
+  DEPENDENCIES: 4,
+  SHA1: 5,
+
+  /* module map attributes */
+  PATH: 0,
+  TYPE: 1,
+
+  /* module types */
+  MODULE: 0,
+  PACKAGE: 1,
+
+  /* platforms */
+  GENERIC_PLATFORM: 'g',
+  NATIVE_PLATFORM: 'native'
+};
+/* eslint-enable */
+
+var _default = constants;
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/node.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/node.d.ts
new file mode 100644
index 000000000..ae0f21d98
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/node.d.ts
@@ -0,0 +1,12 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { CrawlerOptions, FileData, InternalHasteMap } from '../types';
+declare const _default: (options: CrawlerOptions) => Promise<{
+    removedFiles: FileData;
+    hasteMap: InternalHasteMap;
+}>;
+export = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/node.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/node.js
new file mode 100644
index 000000000..6b6e11a1b
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/node.js
@@ -0,0 +1,308 @@
+'use strict';
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _child_process() {
+  const data = require('child_process');
+
+  _child_process = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _which() {
+  const data = _interopRequireDefault(require('which'));
+
+  _which = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _constants() {
+  const data = _interopRequireDefault(require('../constants'));
+
+  _constants = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fastPath() {
+  const data = _interopRequireWildcard(require('../lib/fast_path'));
+
+  fastPath = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+async function hasNativeFindSupport(forceNodeFilesystemAPI) {
+  if (forceNodeFilesystemAPI || process.platform === 'win32') {
+    return false;
+  }
+
+  try {
+    await (0, _which().default)('find');
+    return true;
+  } catch {
+    return false;
+  }
+}
+
+function find(roots, extensions, ignore, callback) {
+  const result = [];
+  let activeCalls = 0;
+
+  function search(directory) {
+    activeCalls++;
+    fs().readdir(
+      directory,
+      {
+        withFileTypes: true
+      },
+      (err, entries) => {
+        activeCalls--;
+
+        if (err) {
+          callback(result);
+          return;
+        } // node < v10.10 does not support the withFileTypes option, and
+        // entry will be a string.
+
+        entries.forEach(entry => {
+          const file = path().join(
+            directory,
+            typeof entry === 'string' ? entry : entry.name
+          );
+
+          if (ignore(file)) {
+            return;
+          }
+
+          if (typeof entry !== 'string') {
+            if (entry.isSymbolicLink()) {
+              return;
+            }
+
+            if (entry.isDirectory()) {
+              search(file);
+              return;
+            }
+          }
+
+          activeCalls++;
+          fs().lstat(file, (err, stat) => {
+            activeCalls--; // This logic is unnecessary for node > v10.10, but leaving it in
+            // since we need it for backwards-compatibility still.
+
+            if (!err && stat && !stat.isSymbolicLink()) {
+              if (stat.isDirectory()) {
+                search(file);
+              } else {
+                const ext = path().extname(file).substr(1);
+
+                if (extensions.indexOf(ext) !== -1) {
+                  result.push([file, stat.mtime.getTime(), stat.size]);
+                }
+              }
+            }
+
+            if (activeCalls === 0) {
+              callback(result);
+            }
+          });
+        });
+
+        if (activeCalls === 0) {
+          callback(result);
+        }
+      }
+    );
+  }
+
+  if (roots.length > 0) {
+    roots.forEach(search);
+  } else {
+    callback(result);
+  }
+}
+
+function findNative(roots, extensions, ignore, callback) {
+  const args = Array.from(roots);
+  args.push('-type', 'f');
+
+  if (extensions.length) {
+    args.push('(');
+  }
+
+  extensions.forEach((ext, index) => {
+    if (index) {
+      args.push('-o');
+    }
+
+    args.push('-iname');
+    args.push('*.' + ext);
+  });
+
+  if (extensions.length) {
+    args.push(')');
+  }
+
+  const child = (0, _child_process().spawn)('find', args);
+  let stdout = '';
+
+  if (child.stdout === null) {
+    throw new Error(
+      'stdout is null - this should never happen. Please open up an issue at https://github.com/facebook/jest'
+    );
+  }
+
+  child.stdout.setEncoding('utf-8');
+  child.stdout.on('data', data => (stdout += data));
+  child.stdout.on('close', () => {
+    const lines = stdout
+      .trim()
+      .split('\n')
+      .filter(x => !ignore(x));
+    const result = [];
+    let count = lines.length;
+
+    if (!count) {
+      callback([]);
+    } else {
+      lines.forEach(path => {
+        fs().stat(path, (err, stat) => {
+          if (!err && stat) {
+            result.push([path, stat.mtime.getTime(), stat.size]);
+          }
+
+          if (--count === 0) {
+            callback(result);
+          }
+        });
+      });
+    }
+  });
+}
+
+module.exports = async function nodeCrawl(options) {
+  const {
+    data,
+    extensions,
+    forceNodeFilesystemAPI,
+    ignore,
+    rootDir,
+    roots
+  } = options;
+  const useNativeFind = await hasNativeFindSupport(forceNodeFilesystemAPI);
+  return new Promise(resolve => {
+    const callback = list => {
+      const files = new Map();
+      const removedFiles = new Map(data.files);
+      list.forEach(fileData => {
+        const [filePath, mtime, size] = fileData;
+        const relativeFilePath = fastPath().relative(rootDir, filePath);
+        const existingFile = data.files.get(relativeFilePath);
+
+        if (
+          existingFile &&
+          existingFile[_constants().default.MTIME] === mtime
+        ) {
+          files.set(relativeFilePath, existingFile);
+        } else {
+          // See ../constants.js; SHA-1 will always be null and fulfilled later.
+          files.set(relativeFilePath, ['', mtime, size, 0, '', null]);
+        }
+
+        removedFiles.delete(relativeFilePath);
+      });
+      data.files = files;
+      resolve({
+        hasteMap: data,
+        removedFiles
+      });
+    };
+
+    if (useNativeFind) {
+      findNative(roots, extensions, ignore, callback);
+    } else {
+      find(roots, extensions, ignore, callback);
+    }
+  });
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/watchman.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/watchman.d.ts
new file mode 100644
index 000000000..bf261da8a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/watchman.d.ts
@@ -0,0 +1,13 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { CrawlerOptions, FileData, InternalHasteMap } from '../types';
+declare const _default: (options: CrawlerOptions) => Promise<{
+    changedFiles?: FileData | undefined;
+    removedFiles: FileData;
+    hasteMap: InternalHasteMap;
+}>;
+export = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/watchman.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/watchman.js
new file mode 100644
index 000000000..7b2f2d44e
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/crawlers/watchman.js
@@ -0,0 +1,326 @@
+'use strict';
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _fbWatchman() {
+  const data = _interopRequireDefault(require('fb-watchman'));
+
+  _fbWatchman = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fastPath() {
+  const data = _interopRequireWildcard(require('../lib/fast_path'));
+
+  fastPath = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _normalizePathSep() {
+  const data = _interopRequireDefault(require('../lib/normalizePathSep'));
+
+  _normalizePathSep = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _constants() {
+  const data = _interopRequireDefault(require('../constants'));
+
+  _constants = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const watchmanURL = 'https://facebook.github.io/watchman/docs/troubleshooting';
+
+function WatchmanError(error) {
+  error.message =
+    `Watchman error: ${error.message.trim()}. Make sure watchman ` +
+    `is running for this project. See ${watchmanURL}.`;
+  return error;
+}
+
+module.exports = async function watchmanCrawl(options) {
+  const fields = ['name', 'exists', 'mtime_ms', 'size'];
+  const {data, extensions, ignore, rootDir, roots} = options;
+  const defaultWatchExpression = [
+    'allof',
+    ['type', 'f'],
+    ['anyof', ...extensions.map(extension => ['suffix', extension])]
+  ];
+  const clocks = data.clocks;
+  const client = new (_fbWatchman().default.Client)();
+  let clientError;
+  client.on('error', error => (clientError = WatchmanError(error))); // TODO: type better than `any`
+
+  const cmd = (...args) =>
+    new Promise((resolve, reject) =>
+      client.command(args, (error, result) =>
+        error ? reject(WatchmanError(error)) : resolve(result)
+      )
+    );
+
+  if (options.computeSha1) {
+    const {capabilities} = await cmd('list-capabilities');
+
+    if (capabilities.indexOf('field-content.sha1hex') !== -1) {
+      fields.push('content.sha1hex');
+    }
+  }
+
+  async function getWatchmanRoots(roots) {
+    const watchmanRoots = new Map();
+    await Promise.all(
+      roots.map(async root => {
+        const response = await cmd('watch-project', root);
+        const existing = watchmanRoots.get(response.watch); // A root can only be filtered if it was never seen with a
+        // relative_path before.
+
+        const canBeFiltered = !existing || existing.length > 0;
+
+        if (canBeFiltered) {
+          if (response.relative_path) {
+            watchmanRoots.set(
+              response.watch,
+              (existing || []).concat(response.relative_path)
+            );
+          } else {
+            // Make the filter directories an empty array to signal that this
+            // root was already seen and needs to be watched for all files or
+            // directories.
+            watchmanRoots.set(response.watch, []);
+          }
+        }
+      })
+    );
+    return watchmanRoots;
+  }
+
+  async function queryWatchmanForDirs(rootProjectDirMappings) {
+    const files = new Map();
+    let isFresh = false;
+    await Promise.all(
+      Array.from(rootProjectDirMappings).map(
+        async ([root, directoryFilters]) => {
+          const expression = Array.from(defaultWatchExpression);
+          const glob = [];
+
+          if (directoryFilters.length > 0) {
+            expression.push([
+              'anyof',
+              ...directoryFilters.map(dir => ['dirname', dir])
+            ]);
+
+            for (const directory of directoryFilters) {
+              for (const extension of extensions) {
+                glob.push(`${directory}/**/*.${extension}`);
+              }
+            }
+          } else {
+            for (const extension of extensions) {
+              glob.push(`**/*.${extension}`);
+            }
+          }
+
+          const relativeRoot = fastPath().relative(rootDir, root);
+          const query = clocks.has(relativeRoot) // Use the `since` generator if we have a clock available
+            ? {
+                expression,
+                fields,
+                since: clocks.get(relativeRoot)
+              } // Otherwise use the `glob` filter
+            : {
+                expression,
+                fields,
+                glob
+              };
+          const response = await cmd('query', root, query);
+
+          if ('warning' in response) {
+            console.warn('watchman warning: ', response.warning);
+          }
+
+          isFresh = isFresh || response.is_fresh_instance;
+          files.set(root, response);
+        }
+      )
+    );
+    return {
+      files,
+      isFresh
+    };
+  }
+
+  let files = data.files;
+  let removedFiles = new Map();
+  const changedFiles = new Map();
+  let watchmanFiles;
+  let isFresh = false;
+
+  try {
+    const watchmanRoots = await getWatchmanRoots(roots);
+    const watchmanFileResults = await queryWatchmanForDirs(watchmanRoots); // Reset the file map if watchman was restarted and sends us a list of
+    // files.
+
+    if (watchmanFileResults.isFresh) {
+      files = new Map();
+      removedFiles = new Map(data.files);
+      isFresh = true;
+    }
+
+    watchmanFiles = watchmanFileResults.files;
+  } finally {
+    client.end();
+  }
+
+  if (clientError) {
+    throw clientError;
+  } // TODO: remove non-null
+
+  for (const [watchRoot, response] of watchmanFiles) {
+    const fsRoot = (0, _normalizePathSep().default)(watchRoot);
+    const relativeFsRoot = fastPath().relative(rootDir, fsRoot);
+    clocks.set(relativeFsRoot, response.clock);
+
+    for (const fileData of response.files) {
+      const filePath =
+        fsRoot + path().sep + (0, _normalizePathSep().default)(fileData.name);
+      const relativeFilePath = fastPath().relative(rootDir, filePath);
+      const existingFileData = data.files.get(relativeFilePath); // If watchman is fresh, the removed files map starts with all files
+      // and we remove them as we verify they still exist.
+
+      if (isFresh && existingFileData && fileData.exists) {
+        removedFiles.delete(relativeFilePath);
+      }
+
+      if (!fileData.exists) {
+        // No need to act on files that do not exist and were not tracked.
+        if (existingFileData) {
+          files.delete(relativeFilePath); // If watchman is not fresh, we will know what specific files were
+          // deleted since we last ran and can track only those files.
+
+          if (!isFresh) {
+            removedFiles.set(relativeFilePath, existingFileData);
+          }
+        }
+      } else if (!ignore(filePath)) {
+        const mtime =
+          typeof fileData.mtime_ms === 'number'
+            ? fileData.mtime_ms
+            : fileData.mtime_ms.toNumber();
+        const size = fileData.size;
+        let sha1hex = fileData['content.sha1hex'];
+
+        if (typeof sha1hex !== 'string' || sha1hex.length !== 40) {
+          sha1hex = null;
+        }
+
+        let nextData;
+
+        if (
+          existingFileData &&
+          existingFileData[_constants().default.MTIME] === mtime
+        ) {
+          nextData = existingFileData;
+        } else if (
+          existingFileData &&
+          sha1hex &&
+          existingFileData[_constants().default.SHA1] === sha1hex
+        ) {
+          nextData = [
+            existingFileData[0],
+            mtime,
+            existingFileData[2],
+            existingFileData[3],
+            existingFileData[4],
+            existingFileData[5]
+          ];
+        } else {
+          // See ../constants.ts
+          nextData = ['', mtime, size, 0, '', sha1hex];
+        }
+
+        files.set(relativeFilePath, nextData);
+        changedFiles.set(relativeFilePath, nextData);
+      }
+    }
+  }
+
+  data.files = files;
+  return {
+    changedFiles: isFresh ? undefined : changedFiles,
+    hasteMap: data,
+    removedFiles
+  };
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/getMockName.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/getMockName.d.ts
new file mode 100644
index 000000000..dbd08cd16
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/getMockName.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare const getMockName: (filePath: string) => string;
+export default getMockName;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/getMockName.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/getMockName.js
new file mode 100644
index 000000000..f8b6ad150
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/getMockName.js
@@ -0,0 +1,76 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const MOCKS_PATTERN = path().sep + '__mocks__' + path().sep;
+
+const getMockName = filePath => {
+  const mockPath = filePath.split(MOCKS_PATTERN)[1];
+  return mockPath
+    .substring(0, mockPath.lastIndexOf(path().extname(mockPath)))
+    .replace(/\\/g, '/');
+};
+
+var _default = getMockName;
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/index.d.ts
new file mode 100644
index 000000000..74e4ad594
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/index.d.ts
@@ -0,0 +1,187 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import { EventEmitter } from 'events';
+import type { Config } from '@jest/types';
+import H from './constants';
+import HasteFS from './HasteFS';
+import HasteModuleMap, { SerializableModuleMap as HasteSerializableModuleMap } from './ModuleMap';
+import type { ChangeEvent, HasteRegExp, InternalHasteMap, HasteMap as InternalHasteMapObject } from './types';
+declare type HType = typeof H;
+declare type Options = {
+    cacheDirectory?: string;
+    computeDependencies?: boolean;
+    computeSha1?: boolean;
+    console?: Console;
+    dependencyExtractor?: string | null;
+    extensions: Array<string>;
+    forceNodeFilesystemAPI?: boolean;
+    hasteImplModulePath?: string;
+    ignorePattern?: HasteRegExp;
+    maxWorkers: number;
+    mocksPattern?: string;
+    name: string;
+    platforms: Array<string>;
+    resetCache?: boolean;
+    retainAllFiles: boolean;
+    rootDir: string;
+    roots: Array<string>;
+    skipPackageJson?: boolean;
+    throwOnModuleCollision?: boolean;
+    useWatchman?: boolean;
+    watch?: boolean;
+};
+declare namespace HasteMap {
+    type ModuleMap = HasteModuleMap;
+    type SerializableModuleMap = HasteSerializableModuleMap;
+    type FS = HasteFS;
+    type HasteMapObject = InternalHasteMapObject;
+    type HasteChangeEvent = ChangeEvent;
+}
+/**
+ * HasteMap is a JavaScript implementation of Facebook's haste module system.
+ *
+ * This implementation is inspired by https://github.com/facebook/node-haste
+ * and was built with for high-performance in large code repositories with
+ * hundreds of thousands of files. This implementation is scalable and provides
+ * predictable performance.
+ *
+ * Because the haste map creation and synchronization is critical to startup
+ * performance and most tasks are blocked by I/O this class makes heavy use of
+ * synchronous operations. It uses worker processes for parallelizing file
+ * access and metadata extraction.
+ *
+ * The data structures created by `jest-haste-map` can be used directly from the
+ * cache without further processing. The metadata objects in the `files` and
+ * `map` objects contain cross-references: a metadata object from one can look
+ * up the corresponding metadata object in the other map. Note that in most
+ * projects, the number of files will be greater than the number of haste
+ * modules one module can refer to many files based on platform extensions.
+ *
+ * type HasteMap = {
+ *   clocks: WatchmanClocks,
+ *   files: {[filepath: string]: FileMetaData},
+ *   map: {[id: string]: ModuleMapItem},
+ *   mocks: {[id: string]: string},
+ * }
+ *
+ * // Watchman clocks are used for query synchronization and file system deltas.
+ * type WatchmanClocks = {[filepath: string]: string};
+ *
+ * type FileMetaData = {
+ *   id: ?string, // used to look up module metadata objects in `map`.
+ *   mtime: number, // check for outdated files.
+ *   size: number, // size of the file in bytes.
+ *   visited: boolean, // whether the file has been parsed or not.
+ *   dependencies: Array<string>, // all relative dependencies of this file.
+ *   sha1: ?string, // SHA-1 of the file, if requested via options.
+ * };
+ *
+ * // Modules can be targeted to a specific platform based on the file name.
+ * // Example: platform.ios.js and Platform.android.js will both map to the same
+ * // `Platform` module. The platform should be specified during resolution.
+ * type ModuleMapItem = {[platform: string]: ModuleMetaData};
+ *
+ * //
+ * type ModuleMetaData = {
+ *   path: string, // the path to look up the file object in `files`.
+ *   type: string, // the module type (either `package` or `module`).
+ * };
+ *
+ * Note that the data structures described above are conceptual only. The actual
+ * implementation uses arrays and constant keys for metadata storage. Instead of
+ * `{id: 'flatMap', mtime: 3421, size: 42, visited: true, dependencies: []}` the real
+ * representation is similar to `['flatMap', 3421, 42, 1, []]` to save storage space
+ * and reduce parse and write time of a big JSON blob.
+ *
+ * The HasteMap is created as follows:
+ *  1. read data from the cache or create an empty structure.
+ *
+ *  2. crawl the file system.
+ *     * empty cache: crawl the entire file system.
+ *     * cache available:
+ *       * if watchman is available: get file system delta changes.
+ *       * if watchman is unavailable: crawl the entire file system.
+ *     * build metadata objects for every file. This builds the `files` part of
+ *       the `HasteMap`.
+ *
+ *  3. parse and extract metadata from changed files.
+ *     * this is done in parallel over worker processes to improve performance.
+ *     * the worst case is to parse all files.
+ *     * the best case is no file system access and retrieving all data from
+ *       the cache.
+ *     * the average case is a small number of changed files.
+ *
+ *  4. serialize the new `HasteMap` in a cache file.
+ *     Worker processes can directly access the cache through `HasteMap.read()`.
+ *
+ */
+declare class HasteMap extends EventEmitter {
+    private _buildPromise;
+    private _cachePath;
+    private _changeInterval?;
+    private _console;
+    private _options;
+    private _watchers;
+    private _worker;
+    constructor(options: Options);
+    static getCacheFilePath(tmpdir: Config.Path, name: string, ...extra: Array<string>): string;
+    getCacheFilePath(): string;
+    build(): Promise<InternalHasteMapObject>;
+    /**
+     * 1. read data from the cache or create an empty structure.
+     */
+    read(): InternalHasteMap;
+    readModuleMap(): HasteModuleMap;
+    /**
+     * 2. crawl the file system.
+     */
+    private _buildFileMap;
+    /**
+     * 3. parse and extract metadata from changed files.
+     */
+    private _processFile;
+    private _buildHasteMap;
+    private _cleanup;
+    /**
+     * 4. serialize the new `HasteMap` in a cache file.
+     */
+    private _persist;
+    /**
+     * Creates workers or parses files and extracts metadata in-process.
+     */
+    private _getWorker;
+    private _crawl;
+    /**
+     * Watch mode
+     */
+    private _watch;
+    /**
+     * This function should be called when the file under `filePath` is removed
+     * or changed. When that happens, we want to figure out if that file was
+     * part of a group of files that had the same ID. If it was, we want to
+     * remove it from the group. Furthermore, if there is only one file
+     * remaining in the group, then we want to restore that single file as the
+     * correct resolution for its ID, and cleanup the duplicates index.
+     */
+    private _recoverDuplicates;
+    end(): Promise<void>;
+    /**
+     * Helpers
+     */
+    private _ignore;
+    private _createEmptyMap;
+    static H: HType;
+    static DuplicateError: typeof DuplicateError;
+    static ModuleMap: typeof HasteModuleMap;
+}
+declare class DuplicateError extends Error {
+    mockPath1: string;
+    mockPath2: string;
+    constructor(mockPath1: string, mockPath2: string);
+}
+export = HasteMap;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/index.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/index.js
new file mode 100644
index 000000000..3ffb21799
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/index.js
@@ -0,0 +1,1217 @@
+'use strict';
+
+function _child_process() {
+  const data = require('child_process');
+
+  _child_process = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _crypto() {
+  const data = require('crypto');
+
+  _crypto = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _events() {
+  const data = require('events');
+
+  _events = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _os() {
+  const data = require('os');
+
+  _os = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _sane() {
+  const data = require('sane');
+
+  _sane = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestSerializer() {
+  const data = _interopRequireDefault(require('jest-serializer'));
+
+  _jestSerializer = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _jestWorker() {
+  const data = _interopRequireDefault(require('jest-worker'));
+
+  _jestWorker = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _worker = require('./worker');
+
+var _getMockName = _interopRequireDefault(require('./getMockName'));
+
+var _getPlatformExtension = _interopRequireDefault(
+  require('./lib/getPlatformExtension')
+);
+
+var _constants = _interopRequireDefault(require('./constants'));
+
+var _HasteFS = _interopRequireDefault(require('./HasteFS'));
+
+var _ModuleMap = _interopRequireDefault(require('./ModuleMap'));
+
+var _node = _interopRequireDefault(require('./crawlers/node'));
+
+var _normalizePathSep = _interopRequireDefault(
+  require('./lib/normalizePathSep')
+);
+
+var _watchman = _interopRequireDefault(require('./crawlers/watchman'));
+
+var _WatchmanWatcher = _interopRequireDefault(require('./lib/WatchmanWatcher'));
+
+var _FSEventsWatcher = _interopRequireDefault(require('./lib/FSEventsWatcher'));
+
+var fastPath = _interopRequireWildcard(require('./lib/fast_path'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+const CHANGE_INTERVAL = 30;
+const MAX_WAIT_TIME = 240000;
+const NODE_MODULES = path().sep + 'node_modules' + path().sep;
+const PACKAGE_JSON = path().sep + 'package.json'; // TypeScript doesn't like us importing from outside `rootDir`, but it doesn't
+// understand `require`.
+
+const {version: VERSION} = require('../package.json');
+
+const canUseWatchman = (() => {
+  try {
+    (0, _child_process().execSync)('watchman --version', {
+      stdio: ['ignore']
+    });
+    return true;
+  } catch (e) {}
+
+  return false;
+})();
+
+function invariant(condition, message) {
+  if (!condition) {
+    throw new Error(message);
+  }
+}
+/**
+ * HasteMap is a JavaScript implementation of Facebook's haste module system.
+ *
+ * This implementation is inspired by https://github.com/facebook/node-haste
+ * and was built with for high-performance in large code repositories with
+ * hundreds of thousands of files. This implementation is scalable and provides
+ * predictable performance.
+ *
+ * Because the haste map creation and synchronization is critical to startup
+ * performance and most tasks are blocked by I/O this class makes heavy use of
+ * synchronous operations. It uses worker processes for parallelizing file
+ * access and metadata extraction.
+ *
+ * The data structures created by `jest-haste-map` can be used directly from the
+ * cache without further processing. The metadata objects in the `files` and
+ * `map` objects contain cross-references: a metadata object from one can look
+ * up the corresponding metadata object in the other map. Note that in most
+ * projects, the number of files will be greater than the number of haste
+ * modules one module can refer to many files based on platform extensions.
+ *
+ * type HasteMap = {
+ *   clocks: WatchmanClocks,
+ *   files: {[filepath: string]: FileMetaData},
+ *   map: {[id: string]: ModuleMapItem},
+ *   mocks: {[id: string]: string},
+ * }
+ *
+ * // Watchman clocks are used for query synchronization and file system deltas.
+ * type WatchmanClocks = {[filepath: string]: string};
+ *
+ * type FileMetaData = {
+ *   id: ?string, // used to look up module metadata objects in `map`.
+ *   mtime: number, // check for outdated files.
+ *   size: number, // size of the file in bytes.
+ *   visited: boolean, // whether the file has been parsed or not.
+ *   dependencies: Array<string>, // all relative dependencies of this file.
+ *   sha1: ?string, // SHA-1 of the file, if requested via options.
+ * };
+ *
+ * // Modules can be targeted to a specific platform based on the file name.
+ * // Example: platform.ios.js and Platform.android.js will both map to the same
+ * // `Platform` module. The platform should be specified during resolution.
+ * type ModuleMapItem = {[platform: string]: ModuleMetaData};
+ *
+ * //
+ * type ModuleMetaData = {
+ *   path: string, // the path to look up the file object in `files`.
+ *   type: string, // the module type (either `package` or `module`).
+ * };
+ *
+ * Note that the data structures described above are conceptual only. The actual
+ * implementation uses arrays and constant keys for metadata storage. Instead of
+ * `{id: 'flatMap', mtime: 3421, size: 42, visited: true, dependencies: []}` the real
+ * representation is similar to `['flatMap', 3421, 42, 1, []]` to save storage space
+ * and reduce parse and write time of a big JSON blob.
+ *
+ * The HasteMap is created as follows:
+ *  1. read data from the cache or create an empty structure.
+ *
+ *  2. crawl the file system.
+ *     * empty cache: crawl the entire file system.
+ *     * cache available:
+ *       * if watchman is available: get file system delta changes.
+ *       * if watchman is unavailable: crawl the entire file system.
+ *     * build metadata objects for every file. This builds the `files` part of
+ *       the `HasteMap`.
+ *
+ *  3. parse and extract metadata from changed files.
+ *     * this is done in parallel over worker processes to improve performance.
+ *     * the worst case is to parse all files.
+ *     * the best case is no file system access and retrieving all data from
+ *       the cache.
+ *     * the average case is a small number of changed files.
+ *
+ *  4. serialize the new `HasteMap` in a cache file.
+ *     Worker processes can directly access the cache through `HasteMap.read()`.
+ *
+ */
+
+/* eslint-disable-next-line no-redeclare */
+
+class HasteMap extends _events().EventEmitter {
+  constructor(options) {
+    super();
+
+    _defineProperty(this, '_buildPromise', void 0);
+
+    _defineProperty(this, '_cachePath', void 0);
+
+    _defineProperty(this, '_changeInterval', void 0);
+
+    _defineProperty(this, '_console', void 0);
+
+    _defineProperty(this, '_options', void 0);
+
+    _defineProperty(this, '_watchers', void 0);
+
+    _defineProperty(this, '_worker', void 0);
+
+    this._options = {
+      cacheDirectory: options.cacheDirectory || (0, _os().tmpdir)(),
+      computeDependencies:
+        options.computeDependencies === undefined
+          ? true
+          : options.computeDependencies,
+      computeSha1: options.computeSha1 || false,
+      dependencyExtractor: options.dependencyExtractor || null,
+      extensions: options.extensions,
+      forceNodeFilesystemAPI: !!options.forceNodeFilesystemAPI,
+      hasteImplModulePath: options.hasteImplModulePath,
+      ignorePattern: options.ignorePattern,
+      maxWorkers: options.maxWorkers,
+      mocksPattern: options.mocksPattern
+        ? new RegExp(options.mocksPattern)
+        : null,
+      name: options.name,
+      platforms: options.platforms,
+      resetCache: options.resetCache,
+      retainAllFiles: options.retainAllFiles,
+      rootDir: options.rootDir,
+      roots: Array.from(new Set(options.roots)),
+      skipPackageJson: !!options.skipPackageJson,
+      throwOnModuleCollision: !!options.throwOnModuleCollision,
+      useWatchman: options.useWatchman == null ? true : options.useWatchman,
+      watch: !!options.watch
+    };
+    this._console = options.console || global.console;
+
+    if (options.ignorePattern && !(options.ignorePattern instanceof RegExp)) {
+      this._console.warn(
+        'jest-haste-map: the `ignorePattern` options as a function is being ' +
+          'deprecated. Provide a RegExp instead. See https://github.com/facebook/jest/pull/4063.'
+      );
+    }
+
+    const rootDirHash = (0, _crypto().createHash)('md5')
+      .update(options.rootDir)
+      .digest('hex');
+    let hasteImplHash = '';
+    let dependencyExtractorHash = '';
+
+    if (options.hasteImplModulePath) {
+      const hasteImpl = require(options.hasteImplModulePath);
+
+      if (hasteImpl.getCacheKey) {
+        hasteImplHash = String(hasteImpl.getCacheKey());
+      }
+    }
+
+    if (options.dependencyExtractor) {
+      const dependencyExtractor = require(options.dependencyExtractor);
+
+      if (dependencyExtractor.getCacheKey) {
+        dependencyExtractorHash = String(dependencyExtractor.getCacheKey());
+      }
+    }
+
+    this._cachePath = HasteMap.getCacheFilePath(
+      this._options.cacheDirectory,
+      `haste-map-${this._options.name}-${rootDirHash}`,
+      VERSION,
+      this._options.name,
+      this._options.roots
+        .map(root => fastPath.relative(options.rootDir, root))
+        .join(':'),
+      this._options.extensions.join(':'),
+      this._options.platforms.join(':'),
+      this._options.computeSha1.toString(),
+      options.mocksPattern || '',
+      (options.ignorePattern || '').toString(),
+      hasteImplHash,
+      dependencyExtractorHash
+    );
+    this._buildPromise = null;
+    this._watchers = [];
+    this._worker = null;
+  }
+
+  static getCacheFilePath(tmpdir, name, ...extra) {
+    const hash = (0, _crypto().createHash)('md5').update(extra.join(''));
+    return path().join(
+      tmpdir,
+      name.replace(/\W/g, '-') + '-' + hash.digest('hex')
+    );
+  }
+
+  getCacheFilePath() {
+    return this._cachePath;
+  }
+
+  build() {
+    if (!this._buildPromise) {
+      this._buildPromise = (async () => {
+        const data = await this._buildFileMap(); // Persist when we don't know if files changed (changedFiles undefined)
+        // or when we know a file was changed or deleted.
+
+        let hasteMap;
+
+        if (
+          data.changedFiles === undefined ||
+          data.changedFiles.size > 0 ||
+          data.removedFiles.size > 0
+        ) {
+          hasteMap = await this._buildHasteMap(data);
+
+          this._persist(hasteMap);
+        } else {
+          hasteMap = data.hasteMap;
+        }
+
+        const rootDir = this._options.rootDir;
+        const hasteFS = new _HasteFS.default({
+          files: hasteMap.files,
+          rootDir
+        });
+        const moduleMap = new _ModuleMap.default({
+          duplicates: hasteMap.duplicates,
+          map: hasteMap.map,
+          mocks: hasteMap.mocks,
+          rootDir
+        });
+
+        const __hasteMapForTest =
+          (process.env.NODE_ENV === 'test' && hasteMap) || null;
+
+        await this._watch(hasteMap);
+        return {
+          __hasteMapForTest,
+          hasteFS,
+          moduleMap
+        };
+      })();
+    }
+
+    return this._buildPromise;
+  }
+  /**
+   * 1. read data from the cache or create an empty structure.
+   */
+
+  read() {
+    let hasteMap;
+
+    try {
+      hasteMap = _jestSerializer().default.readFileSync(this._cachePath);
+    } catch (err) {
+      hasteMap = this._createEmptyMap();
+    }
+
+    return hasteMap;
+  }
+
+  readModuleMap() {
+    const data = this.read();
+    return new _ModuleMap.default({
+      duplicates: data.duplicates,
+      map: data.map,
+      mocks: data.mocks,
+      rootDir: this._options.rootDir
+    });
+  }
+  /**
+   * 2. crawl the file system.
+   */
+
+  async _buildFileMap() {
+    let hasteMap;
+
+    try {
+      const read = this._options.resetCache ? this._createEmptyMap : this.read;
+      hasteMap = await read.call(this);
+    } catch {
+      hasteMap = this._createEmptyMap();
+    }
+
+    return this._crawl(hasteMap);
+  }
+  /**
+   * 3. parse and extract metadata from changed files.
+   */
+
+  _processFile(hasteMap, map, mocks, filePath, workerOptions) {
+    const rootDir = this._options.rootDir;
+
+    const setModule = (id, module) => {
+      let moduleMap = map.get(id);
+
+      if (!moduleMap) {
+        moduleMap = Object.create(null);
+        map.set(id, moduleMap);
+      }
+
+      const platform =
+        (0, _getPlatformExtension.default)(
+          module[_constants.default.PATH],
+          this._options.platforms
+        ) || _constants.default.GENERIC_PLATFORM;
+
+      const existingModule = moduleMap[platform];
+
+      if (
+        existingModule &&
+        existingModule[_constants.default.PATH] !==
+          module[_constants.default.PATH]
+      ) {
+        const method = this._options.throwOnModuleCollision ? 'error' : 'warn';
+
+        this._console[method](
+          [
+            'jest-haste-map: Haste module naming collision: ' + id,
+            '  The following files share their name; please adjust your hasteImpl:',
+            '    * <rootDir>' +
+              path().sep +
+              existingModule[_constants.default.PATH],
+            '    * <rootDir>' + path().sep + module[_constants.default.PATH],
+            ''
+          ].join('\n')
+        );
+
+        if (this._options.throwOnModuleCollision) {
+          throw new DuplicateError(
+            existingModule[_constants.default.PATH],
+            module[_constants.default.PATH]
+          );
+        } // We do NOT want consumers to use a module that is ambiguous.
+
+        delete moduleMap[platform];
+
+        if (Object.keys(moduleMap).length === 1) {
+          map.delete(id);
+        }
+
+        let dupsByPlatform = hasteMap.duplicates.get(id);
+
+        if (dupsByPlatform == null) {
+          dupsByPlatform = new Map();
+          hasteMap.duplicates.set(id, dupsByPlatform);
+        }
+
+        const dups = new Map([
+          [module[_constants.default.PATH], module[_constants.default.TYPE]],
+          [
+            existingModule[_constants.default.PATH],
+            existingModule[_constants.default.TYPE]
+          ]
+        ]);
+        dupsByPlatform.set(platform, dups);
+        return;
+      }
+
+      const dupsByPlatform = hasteMap.duplicates.get(id);
+
+      if (dupsByPlatform != null) {
+        const dups = dupsByPlatform.get(platform);
+
+        if (dups != null) {
+          dups.set(
+            module[_constants.default.PATH],
+            module[_constants.default.TYPE]
+          );
+        }
+
+        return;
+      }
+
+      moduleMap[platform] = module;
+    };
+
+    const relativeFilePath = fastPath.relative(rootDir, filePath);
+    const fileMetadata = hasteMap.files.get(relativeFilePath);
+
+    if (!fileMetadata) {
+      throw new Error(
+        'jest-haste-map: File to process was not found in the haste map.'
+      );
+    }
+
+    const moduleMetadata = hasteMap.map.get(
+      fileMetadata[_constants.default.ID]
+    );
+    const computeSha1 =
+      this._options.computeSha1 && !fileMetadata[_constants.default.SHA1]; // Callback called when the response from the worker is successful.
+
+    const workerReply = metadata => {
+      // `1` for truthy values instead of `true` to save cache space.
+      fileMetadata[_constants.default.VISITED] = 1;
+      const metadataId = metadata.id;
+      const metadataModule = metadata.module;
+
+      if (metadataId && metadataModule) {
+        fileMetadata[_constants.default.ID] = metadataId;
+        setModule(metadataId, metadataModule);
+      }
+
+      fileMetadata[_constants.default.DEPENDENCIES] = metadata.dependencies
+        ? metadata.dependencies.join(_constants.default.DEPENDENCY_DELIM)
+        : '';
+
+      if (computeSha1) {
+        fileMetadata[_constants.default.SHA1] = metadata.sha1;
+      }
+    }; // Callback called when the response from the worker is an error.
+
+    const workerError = error => {
+      if (typeof error !== 'object' || !error.message || !error.stack) {
+        error = new Error(error);
+        error.stack = ''; // Remove stack for stack-less errors.
+      }
+
+      if (!['ENOENT', 'EACCES'].includes(error.code)) {
+        throw error;
+      } // If a file cannot be read we remove it from the file list and
+      // ignore the failure silently.
+
+      hasteMap.files.delete(relativeFilePath);
+    }; // If we retain all files in the virtual HasteFS representation, we avoid
+    // reading them if they aren't important (node_modules).
+
+    if (this._options.retainAllFiles && filePath.includes(NODE_MODULES)) {
+      if (computeSha1) {
+        return this._getWorker(workerOptions)
+          .getSha1({
+            computeDependencies: this._options.computeDependencies,
+            computeSha1,
+            dependencyExtractor: this._options.dependencyExtractor,
+            filePath,
+            hasteImplModulePath: this._options.hasteImplModulePath,
+            rootDir
+          })
+          .then(workerReply, workerError);
+      }
+
+      return null;
+    }
+
+    if (
+      this._options.mocksPattern &&
+      this._options.mocksPattern.test(filePath)
+    ) {
+      const mockPath = (0, _getMockName.default)(filePath);
+      const existingMockPath = mocks.get(mockPath);
+
+      if (existingMockPath) {
+        const secondMockPath = fastPath.relative(rootDir, filePath);
+
+        if (existingMockPath !== secondMockPath) {
+          const method = this._options.throwOnModuleCollision
+            ? 'error'
+            : 'warn';
+
+          this._console[method](
+            [
+              'jest-haste-map: duplicate manual mock found: ' + mockPath,
+              '  The following files share their name; please delete one of them:',
+              '    * <rootDir>' + path().sep + existingMockPath,
+              '    * <rootDir>' + path().sep + secondMockPath,
+              ''
+            ].join('\n')
+          );
+
+          if (this._options.throwOnModuleCollision) {
+            throw new DuplicateError(existingMockPath, secondMockPath);
+          }
+        }
+      }
+
+      mocks.set(mockPath, relativeFilePath);
+    }
+
+    if (fileMetadata[_constants.default.VISITED]) {
+      if (!fileMetadata[_constants.default.ID]) {
+        return null;
+      }
+
+      if (moduleMetadata != null) {
+        const platform =
+          (0, _getPlatformExtension.default)(
+            filePath,
+            this._options.platforms
+          ) || _constants.default.GENERIC_PLATFORM;
+
+        const module = moduleMetadata[platform];
+
+        if (module == null) {
+          return null;
+        }
+
+        const moduleId = fileMetadata[_constants.default.ID];
+        let modulesByPlatform = map.get(moduleId);
+
+        if (!modulesByPlatform) {
+          modulesByPlatform = Object.create(null);
+          map.set(moduleId, modulesByPlatform);
+        }
+
+        modulesByPlatform[platform] = module;
+        return null;
+      }
+    }
+
+    return this._getWorker(workerOptions)
+      .worker({
+        computeDependencies: this._options.computeDependencies,
+        computeSha1,
+        dependencyExtractor: this._options.dependencyExtractor,
+        filePath,
+        hasteImplModulePath: this._options.hasteImplModulePath,
+        rootDir
+      })
+      .then(workerReply, workerError);
+  }
+
+  _buildHasteMap(data) {
+    const {removedFiles, changedFiles, hasteMap} = data; // If any files were removed or we did not track what files changed, process
+    // every file looking for changes. Otherwise, process only changed files.
+
+    let map;
+    let mocks;
+    let filesToProcess;
+
+    if (changedFiles === undefined || removedFiles.size) {
+      map = new Map();
+      mocks = new Map();
+      filesToProcess = hasteMap.files;
+    } else {
+      map = hasteMap.map;
+      mocks = hasteMap.mocks;
+      filesToProcess = changedFiles;
+    }
+
+    for (const [relativeFilePath, fileMetadata] of removedFiles) {
+      this._recoverDuplicates(
+        hasteMap,
+        relativeFilePath,
+        fileMetadata[_constants.default.ID]
+      );
+    }
+
+    const promises = [];
+
+    for (const relativeFilePath of filesToProcess.keys()) {
+      if (
+        this._options.skipPackageJson &&
+        relativeFilePath.endsWith(PACKAGE_JSON)
+      ) {
+        continue;
+      } // SHA-1, if requested, should already be present thanks to the crawler.
+
+      const filePath = fastPath.resolve(
+        this._options.rootDir,
+        relativeFilePath
+      );
+
+      const promise = this._processFile(hasteMap, map, mocks, filePath);
+
+      if (promise) {
+        promises.push(promise);
+      }
+    }
+
+    return Promise.all(promises).then(
+      () => {
+        this._cleanup();
+
+        hasteMap.map = map;
+        hasteMap.mocks = mocks;
+        return hasteMap;
+      },
+      error => {
+        this._cleanup();
+
+        throw error;
+      }
+    );
+  }
+
+  _cleanup() {
+    const worker = this._worker; // @ts-expect-error
+
+    if (worker && typeof worker.end === 'function') {
+      // @ts-expect-error
+      worker.end();
+    }
+
+    this._worker = null;
+  }
+  /**
+   * 4. serialize the new `HasteMap` in a cache file.
+   */
+
+  _persist(hasteMap) {
+    _jestSerializer().default.writeFileSync(this._cachePath, hasteMap);
+  }
+  /**
+   * Creates workers or parses files and extracts metadata in-process.
+   */
+
+  _getWorker(options) {
+    if (!this._worker) {
+      if ((options && options.forceInBand) || this._options.maxWorkers <= 1) {
+        this._worker = {
+          getSha1: _worker.getSha1,
+          worker: _worker.worker
+        };
+      } else {
+        // @ts-expect-error: assignment of a worker with custom properties.
+        this._worker = new (_jestWorker().default)(
+          require.resolve('./worker'),
+          {
+            exposedMethods: ['getSha1', 'worker'],
+            maxRetries: 3,
+            numWorkers: this._options.maxWorkers
+          }
+        );
+      }
+    }
+
+    return this._worker;
+  }
+
+  _crawl(hasteMap) {
+    const options = this._options;
+
+    const ignore = this._ignore.bind(this);
+
+    const crawl =
+      canUseWatchman && this._options.useWatchman
+        ? _watchman.default
+        : _node.default;
+    const crawlerOptions = {
+      computeSha1: options.computeSha1,
+      data: hasteMap,
+      extensions: options.extensions,
+      forceNodeFilesystemAPI: options.forceNodeFilesystemAPI,
+      ignore,
+      rootDir: options.rootDir,
+      roots: options.roots
+    };
+
+    const retry = error => {
+      if (crawl === _watchman.default) {
+        this._console.warn(
+          `jest-haste-map: Watchman crawl failed. Retrying once with node ` +
+            `crawler.\n` +
+            `  Usually this happens when watchman isn't running. Create an ` +
+            `empty \`.watchmanconfig\` file in your project's root folder or ` +
+            `initialize a git or hg repository in your project.\n` +
+            `  ` +
+            error
+        );
+
+        return (0, _node.default)(crawlerOptions).catch(e => {
+          throw new Error(
+            `Crawler retry failed:\n` +
+              `  Original error: ${error.message}\n` +
+              `  Retry error: ${e.message}\n`
+          );
+        });
+      }
+
+      throw error;
+    };
+
+    try {
+      return crawl(crawlerOptions).catch(retry);
+    } catch (error) {
+      return retry(error);
+    }
+  }
+  /**
+   * Watch mode
+   */
+
+  _watch(hasteMap) {
+    if (!this._options.watch) {
+      return Promise.resolve();
+    } // In watch mode, we'll only warn about module collisions and we'll retain
+    // all files, even changes to node_modules.
+
+    this._options.throwOnModuleCollision = false;
+    this._options.retainAllFiles = true; // WatchmanWatcher > FSEventsWatcher > sane.NodeWatcher
+
+    const Watcher =
+      canUseWatchman && this._options.useWatchman
+        ? _WatchmanWatcher.default
+        : _FSEventsWatcher.default.isSupported()
+        ? _FSEventsWatcher.default
+        : _sane().NodeWatcher;
+    const extensions = this._options.extensions;
+    const ignorePattern = this._options.ignorePattern;
+    const rootDir = this._options.rootDir;
+    let changeQueue = Promise.resolve();
+    let eventsQueue = []; // We only need to copy the entire haste map once on every "frame".
+
+    let mustCopy = true;
+
+    const createWatcher = root => {
+      // @ts-expect-error: TODO how? "Cannot use 'new' with an expression whose type lacks a call or construct signature."
+      const watcher = new Watcher(root, {
+        dot: false,
+        glob: extensions.map(extension => '**/*.' + extension),
+        ignored: ignorePattern
+      });
+      return new Promise((resolve, reject) => {
+        const rejectTimeout = setTimeout(
+          () => reject(new Error('Failed to start watch mode.')),
+          MAX_WAIT_TIME
+        );
+        watcher.once('ready', () => {
+          clearTimeout(rejectTimeout);
+          watcher.on('all', onChange);
+          resolve(watcher);
+        });
+      });
+    };
+
+    const emitChange = () => {
+      if (eventsQueue.length) {
+        mustCopy = true;
+        const changeEvent = {
+          eventsQueue,
+          hasteFS: new _HasteFS.default({
+            files: hasteMap.files,
+            rootDir
+          }),
+          moduleMap: new _ModuleMap.default({
+            duplicates: hasteMap.duplicates,
+            map: hasteMap.map,
+            mocks: hasteMap.mocks,
+            rootDir
+          })
+        };
+        this.emit('change', changeEvent);
+        eventsQueue = [];
+      }
+    };
+
+    const onChange = (type, filePath, root, stat) => {
+      filePath = path().join(root, (0, _normalizePathSep.default)(filePath));
+
+      if (
+        (stat && stat.isDirectory()) ||
+        this._ignore(filePath) ||
+        !extensions.some(extension => filePath.endsWith(extension))
+      ) {
+        return;
+      }
+
+      const relativeFilePath = fastPath.relative(rootDir, filePath);
+      const fileMetadata = hasteMap.files.get(relativeFilePath); // The file has been accessed, not modified
+
+      if (
+        type === 'change' &&
+        fileMetadata &&
+        stat &&
+        fileMetadata[_constants.default.MTIME] === stat.mtime.getTime()
+      ) {
+        return;
+      }
+
+      changeQueue = changeQueue
+        .then(() => {
+          // If we get duplicate events for the same file, ignore them.
+          if (
+            eventsQueue.find(
+              event =>
+                event.type === type &&
+                event.filePath === filePath &&
+                ((!event.stat && !stat) ||
+                  (!!event.stat &&
+                    !!stat &&
+                    event.stat.mtime.getTime() === stat.mtime.getTime()))
+            )
+          ) {
+            return null;
+          }
+
+          if (mustCopy) {
+            mustCopy = false;
+            hasteMap = {
+              clocks: new Map(hasteMap.clocks),
+              duplicates: new Map(hasteMap.duplicates),
+              files: new Map(hasteMap.files),
+              map: new Map(hasteMap.map),
+              mocks: new Map(hasteMap.mocks)
+            };
+          }
+
+          const add = () => {
+            eventsQueue.push({
+              filePath,
+              stat,
+              type
+            });
+            return null;
+          };
+
+          const fileMetadata = hasteMap.files.get(relativeFilePath); // If it's not an addition, delete the file and all its metadata
+
+          if (fileMetadata != null) {
+            const moduleName = fileMetadata[_constants.default.ID];
+
+            const platform =
+              (0, _getPlatformExtension.default)(
+                filePath,
+                this._options.platforms
+              ) || _constants.default.GENERIC_PLATFORM;
+
+            hasteMap.files.delete(relativeFilePath);
+            let moduleMap = hasteMap.map.get(moduleName);
+
+            if (moduleMap != null) {
+              // We are forced to copy the object because jest-haste-map exposes
+              // the map as an immutable entity.
+              moduleMap = copy(moduleMap);
+              delete moduleMap[platform];
+
+              if (Object.keys(moduleMap).length === 0) {
+                hasteMap.map.delete(moduleName);
+              } else {
+                hasteMap.map.set(moduleName, moduleMap);
+              }
+            }
+
+            if (
+              this._options.mocksPattern &&
+              this._options.mocksPattern.test(filePath)
+            ) {
+              const mockName = (0, _getMockName.default)(filePath);
+              hasteMap.mocks.delete(mockName);
+            }
+
+            this._recoverDuplicates(hasteMap, relativeFilePath, moduleName);
+          } // If the file was added or changed,
+          // parse it and update the haste map.
+
+          if (type === 'add' || type === 'change') {
+            invariant(
+              stat,
+              'since the file exists or changed, it should have stats'
+            );
+            const fileMetadata = [
+              '',
+              stat.mtime.getTime(),
+              stat.size,
+              0,
+              '',
+              null
+            ];
+            hasteMap.files.set(relativeFilePath, fileMetadata);
+
+            const promise = this._processFile(
+              hasteMap,
+              hasteMap.map,
+              hasteMap.mocks,
+              filePath,
+              {
+                forceInBand: true
+              }
+            ); // Cleanup
+
+            this._cleanup();
+
+            if (promise) {
+              return promise.then(add);
+            } else {
+              // If a file in node_modules has changed,
+              // emit an event regardless.
+              add();
+            }
+          } else {
+            add();
+          }
+
+          return null;
+        })
+        .catch(error => {
+          this._console.error(
+            `jest-haste-map: watch error:\n  ${error.stack}\n`
+          );
+        });
+    };
+
+    this._changeInterval = setInterval(emitChange, CHANGE_INTERVAL);
+    return Promise.all(this._options.roots.map(createWatcher)).then(
+      watchers => {
+        this._watchers = watchers;
+      }
+    );
+  }
+  /**
+   * This function should be called when the file under `filePath` is removed
+   * or changed. When that happens, we want to figure out if that file was
+   * part of a group of files that had the same ID. If it was, we want to
+   * remove it from the group. Furthermore, if there is only one file
+   * remaining in the group, then we want to restore that single file as the
+   * correct resolution for its ID, and cleanup the duplicates index.
+   */
+
+  _recoverDuplicates(hasteMap, relativeFilePath, moduleName) {
+    let dupsByPlatform = hasteMap.duplicates.get(moduleName);
+
+    if (dupsByPlatform == null) {
+      return;
+    }
+
+    const platform =
+      (0, _getPlatformExtension.default)(
+        relativeFilePath,
+        this._options.platforms
+      ) || _constants.default.GENERIC_PLATFORM;
+
+    let dups = dupsByPlatform.get(platform);
+
+    if (dups == null) {
+      return;
+    }
+
+    dupsByPlatform = copyMap(dupsByPlatform);
+    hasteMap.duplicates.set(moduleName, dupsByPlatform);
+    dups = copyMap(dups);
+    dupsByPlatform.set(platform, dups);
+    dups.delete(relativeFilePath);
+
+    if (dups.size !== 1) {
+      return;
+    }
+
+    const uniqueModule = dups.entries().next().value;
+
+    if (!uniqueModule) {
+      return;
+    }
+
+    let dedupMap = hasteMap.map.get(moduleName);
+
+    if (dedupMap == null) {
+      dedupMap = Object.create(null);
+      hasteMap.map.set(moduleName, dedupMap);
+    }
+
+    dedupMap[platform] = uniqueModule;
+    dupsByPlatform.delete(platform);
+
+    if (dupsByPlatform.size === 0) {
+      hasteMap.duplicates.delete(moduleName);
+    }
+  }
+
+  end() {
+    // @ts-expect-error: TODO TS cannot decide if `setInterval` and `clearInterval` comes from NodeJS or the DOM
+    clearInterval(this._changeInterval);
+
+    if (!this._watchers.length) {
+      return Promise.resolve();
+    }
+
+    return Promise.all(
+      this._watchers.map(
+        watcher => new Promise(resolve => watcher.close(resolve))
+      )
+    ).then(() => {
+      this._watchers = [];
+    });
+  }
+  /**
+   * Helpers
+   */
+
+  _ignore(filePath) {
+    const ignorePattern = this._options.ignorePattern;
+    const ignoreMatched =
+      ignorePattern instanceof RegExp
+        ? ignorePattern.test(filePath)
+        : ignorePattern && ignorePattern(filePath);
+    return (
+      ignoreMatched ||
+      (!this._options.retainAllFiles && filePath.includes(NODE_MODULES))
+    );
+  }
+
+  _createEmptyMap() {
+    return {
+      clocks: new Map(),
+      duplicates: new Map(),
+      files: new Map(),
+      map: new Map(),
+      mocks: new Map()
+    };
+  }
+}
+
+_defineProperty(HasteMap, 'H', void 0);
+
+_defineProperty(HasteMap, 'DuplicateError', void 0);
+
+_defineProperty(HasteMap, 'ModuleMap', void 0);
+
+class DuplicateError extends Error {
+  constructor(mockPath1, mockPath2) {
+    super('Duplicated files or mocks. Please check the console for more info');
+
+    _defineProperty(this, 'mockPath1', void 0);
+
+    _defineProperty(this, 'mockPath2', void 0);
+
+    this.mockPath1 = mockPath1;
+    this.mockPath2 = mockPath2;
+  }
+}
+
+function copy(object) {
+  return Object.assign(Object.create(null), object);
+}
+
+function copyMap(input) {
+  return new Map(input);
+}
+
+HasteMap.H = _constants.default;
+HasteMap.DuplicateError = DuplicateError;
+HasteMap.ModuleMap = _ModuleMap.default;
+module.exports = HasteMap;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/FSEventsWatcher.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/FSEventsWatcher.d.ts
new file mode 100644
index 000000000..ddf89c76a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/FSEventsWatcher.d.ts
@@ -0,0 +1,44 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *
+ */
+/// <reference types="node" />
+import { EventEmitter } from 'events';
+import { Matcher } from 'anymatch';
+/**
+ * Export `FSEventsWatcher` class.
+ * Watches `dir`.
+ */
+declare class FSEventsWatcher extends EventEmitter {
+    readonly root: string;
+    readonly ignored?: Matcher;
+    readonly glob: Array<string>;
+    readonly dot: boolean;
+    readonly hasIgnore: boolean;
+    readonly doIgnore: (path: string) => boolean;
+    readonly fsEventsWatchStopper: () => Promise<void>;
+    private _tracked;
+    static isSupported(): boolean;
+    private static normalizeProxy;
+    private static recReaddir;
+    constructor(dir: string, opts: {
+        root: string;
+        ignored?: Matcher;
+        glob: string | Array<string>;
+        dot: boolean;
+    });
+    /**
+     * End watching.
+     */
+    close(callback?: () => void): void;
+    private isFileIncluded;
+    private handleEvent;
+    /**
+     * Emit events.
+     */
+    private _emit;
+}
+export = FSEventsWatcher;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/FSEventsWatcher.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/FSEventsWatcher.js
new file mode 100644
index 000000000..5bf02d88a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/FSEventsWatcher.js
@@ -0,0 +1,295 @@
+'use strict';
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _events() {
+  const data = require('events');
+
+  _events = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _anymatch() {
+  const data = _interopRequireDefault(require('anymatch'));
+
+  _anymatch = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _micromatch() {
+  const data = _interopRequireDefault(require('micromatch'));
+
+  _micromatch = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _walker() {
+  const data = _interopRequireDefault(require('walker'));
+
+  _walker = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+// eslint-disable-next-line @typescript-eslint/prefer-ts-expect-error
+// @ts-ignore: this is for CI which runs linux and might not have this
+let fsevents = null;
+
+try {
+  fsevents = require('fsevents');
+} catch (e) {
+  // Optional dependency, only supported on Darwin.
+}
+
+const CHANGE_EVENT = 'change';
+const DELETE_EVENT = 'delete';
+const ADD_EVENT = 'add';
+const ALL_EVENT = 'all';
+
+/**
+ * Export `FSEventsWatcher` class.
+ * Watches `dir`.
+ */
+class FSEventsWatcher extends _events().EventEmitter {
+  static isSupported() {
+    return fsevents !== null;
+  }
+
+  static normalizeProxy(callback) {
+    return (filepath, stats) => callback(path().normalize(filepath), stats);
+  }
+
+  static recReaddir(
+    dir,
+    dirCallback,
+    fileCallback,
+    endCallback,
+    errorCallback,
+    ignored
+  ) {
+    (0, _walker().default)(dir)
+      .filterDir(
+        currentDir => !ignored || !(0, _anymatch().default)(ignored, currentDir)
+      )
+      .on('dir', FSEventsWatcher.normalizeProxy(dirCallback))
+      .on('file', FSEventsWatcher.normalizeProxy(fileCallback))
+      .on('error', errorCallback)
+      .on('end', () => {
+        endCallback();
+      });
+  }
+
+  constructor(dir, opts) {
+    if (!fsevents) {
+      throw new Error(
+        '`fsevents` unavailable (this watcher can only be used on Darwin)'
+      );
+    }
+
+    super();
+
+    _defineProperty(this, 'root', void 0);
+
+    _defineProperty(this, 'ignored', void 0);
+
+    _defineProperty(this, 'glob', void 0);
+
+    _defineProperty(this, 'dot', void 0);
+
+    _defineProperty(this, 'hasIgnore', void 0);
+
+    _defineProperty(this, 'doIgnore', void 0);
+
+    _defineProperty(this, 'fsEventsWatchStopper', void 0);
+
+    _defineProperty(this, '_tracked', void 0);
+
+    this.dot = opts.dot || false;
+    this.ignored = opts.ignored;
+    this.glob = Array.isArray(opts.glob) ? opts.glob : [opts.glob];
+    this.hasIgnore =
+      Boolean(opts.ignored) && !(Array.isArray(opts) && opts.length > 0);
+    this.doIgnore = opts.ignored
+      ? (0, _anymatch().default)(opts.ignored)
+      : () => false;
+    this.root = path().resolve(dir);
+    this.fsEventsWatchStopper = fsevents.watch(
+      this.root,
+      this.handleEvent.bind(this)
+    );
+    this._tracked = new Set();
+    FSEventsWatcher.recReaddir(
+      this.root,
+      filepath => {
+        this._tracked.add(filepath);
+      },
+      filepath => {
+        this._tracked.add(filepath);
+      },
+      this.emit.bind(this, 'ready'),
+      this.emit.bind(this, 'error'),
+      this.ignored
+    );
+  }
+  /**
+   * End watching.
+   */
+
+  close(callback) {
+    this.fsEventsWatchStopper().then(() => {
+      this.removeAllListeners();
+
+      if (typeof callback === 'function') {
+        process.nextTick(callback.bind(null, null, true));
+      }
+    });
+  }
+
+  isFileIncluded(relativePath) {
+    if (this.doIgnore(relativePath)) {
+      return false;
+    }
+
+    return this.glob.length
+      ? (0, _micromatch().default)([relativePath], this.glob, {
+          dot: this.dot
+        }).length > 0
+      : this.dot ||
+          (0, _micromatch().default)([relativePath], '**/*').length > 0;
+  }
+
+  handleEvent(filepath) {
+    const relativePath = path().relative(this.root, filepath);
+
+    if (!this.isFileIncluded(relativePath)) {
+      return;
+    }
+
+    fs().lstat(filepath, (error, stat) => {
+      if (error && error.code !== 'ENOENT') {
+        this.emit('error', error);
+        return;
+      }
+
+      if (error) {
+        // Ignore files that aren't tracked and don't exist.
+        if (!this._tracked.has(filepath)) {
+          return;
+        }
+
+        this._emit(DELETE_EVENT, relativePath);
+
+        this._tracked.delete(filepath);
+
+        return;
+      }
+
+      if (this._tracked.has(filepath)) {
+        this._emit(CHANGE_EVENT, relativePath, stat);
+      } else {
+        this._tracked.add(filepath);
+
+        this._emit(ADD_EVENT, relativePath, stat);
+      }
+    });
+  }
+  /**
+   * Emit events.
+   */
+
+  _emit(type, file, stat) {
+    this.emit(type, file, this.root, stat);
+    this.emit(ALL_EVENT, type, file, this.root, stat);
+  }
+}
+
+module.exports = FSEventsWatcher;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/WatchmanWatcher.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/WatchmanWatcher.js
new file mode 100644
index 000000000..8ea1b32e7
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/WatchmanWatcher.js
@@ -0,0 +1,442 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = WatchmanWatcher;
+
+function _path() {
+  const data = _interopRequireDefault(require('path'));
+
+  _path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _assert() {
+  const data = _interopRequireDefault(require('assert'));
+
+  _assert = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _events() {
+  const data = require('events');
+
+  _events = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _fbWatchman() {
+  const data = _interopRequireDefault(require('fb-watchman'));
+
+  _fbWatchman = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _common() {
+  const data = _interopRequireDefault(require('sane/src/common'));
+
+  _common = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _recrawlWarningDedupe() {
+  const data = _interopRequireDefault(
+    require('sane/src/utils/recrawl-warning-dedupe')
+  );
+
+  _recrawlWarningDedupe = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const CHANGE_EVENT = _common().default.CHANGE_EVENT;
+
+const DELETE_EVENT = _common().default.DELETE_EVENT;
+
+const ADD_EVENT = _common().default.ADD_EVENT;
+
+const ALL_EVENT = _common().default.ALL_EVENT;
+
+const SUB_NAME = 'sane-sub';
+/**
+ * Watches `dir`.
+ *
+ * @class PollWatcher
+ * @param String dir
+ * @param {Object} opts
+ * @public
+ */
+
+function WatchmanWatcher(dir, opts) {
+  _common().default.assignOptions(this, opts);
+
+  this.root = _path().default.resolve(dir);
+  this.init();
+} // eslint-disable-next-line no-proto
+
+WatchmanWatcher.prototype.__proto__ = _events().EventEmitter.prototype;
+/**
+ * Run the watchman `watch` command on the root and subscribe to changes.
+ *
+ * @private
+ */
+
+WatchmanWatcher.prototype.init = function () {
+  if (this.client) {
+    this.client.removeAllListeners();
+  }
+
+  const self = this;
+  this.client = new (_fbWatchman().default.Client)();
+  this.client.on('error', error => {
+    self.emit('error', error);
+  });
+  this.client.on('subscription', this.handleChangeEvent.bind(this));
+  this.client.on('end', () => {
+    console.warn('[sane] Warning: Lost connection to watchman, reconnecting..');
+    self.init();
+  });
+  this.watchProjectInfo = null;
+
+  function getWatchRoot() {
+    return self.watchProjectInfo ? self.watchProjectInfo.root : self.root;
+  }
+
+  function onCapability(error, resp) {
+    if (handleError(self, error)) {
+      // The Watchman watcher is unusable on this system, we cannot continue
+      return;
+    }
+
+    handleWarning(resp);
+    self.capabilities = resp.capabilities;
+
+    if (self.capabilities.relative_root) {
+      self.client.command(['watch-project', getWatchRoot()], onWatchProject);
+    } else {
+      self.client.command(['watch', getWatchRoot()], onWatch);
+    }
+  }
+
+  function onWatchProject(error, resp) {
+    if (handleError(self, error)) {
+      return;
+    }
+
+    handleWarning(resp);
+    self.watchProjectInfo = {
+      relativePath: resp.relative_path ? resp.relative_path : '',
+      root: resp.watch
+    };
+    self.client.command(['clock', getWatchRoot()], onClock);
+  }
+
+  function onWatch(error, resp) {
+    if (handleError(self, error)) {
+      return;
+    }
+
+    handleWarning(resp);
+    self.client.command(['clock', getWatchRoot()], onClock);
+  }
+
+  function onClock(error, resp) {
+    if (handleError(self, error)) {
+      return;
+    }
+
+    handleWarning(resp);
+    const options = {
+      fields: ['name', 'exists', 'new'],
+      since: resp.clock
+    }; // If the server has the wildmatch capability available it supports
+    // the recursive **/*.foo style match and we can offload our globs
+    // to the watchman server.  This saves both on data size to be
+    // communicated back to us and compute for evaluating the globs
+    // in our node process.
+
+    if (self.capabilities.wildmatch) {
+      if (self.globs.length === 0) {
+        if (!self.dot) {
+          // Make sure we honor the dot option if even we're not using globs.
+          options.expression = [
+            'match',
+            '**',
+            'wholename',
+            {
+              includedotfiles: false
+            }
+          ];
+        }
+      } else {
+        options.expression = ['anyof'];
+
+        for (const i in self.globs) {
+          options.expression.push([
+            'match',
+            self.globs[i],
+            'wholename',
+            {
+              includedotfiles: self.dot
+            }
+          ]);
+        }
+      }
+    }
+
+    if (self.capabilities.relative_root) {
+      options.relative_root = self.watchProjectInfo.relativePath;
+    }
+
+    self.client.command(
+      ['subscribe', getWatchRoot(), SUB_NAME, options],
+      onSubscribe
+    );
+  }
+
+  function onSubscribe(error, resp) {
+    if (handleError(self, error)) {
+      return;
+    }
+
+    handleWarning(resp);
+    self.emit('ready');
+  }
+
+  self.client.capabilityCheck(
+    {
+      optional: ['wildmatch', 'relative_root']
+    },
+    onCapability
+  );
+};
+/**
+ * Handles a change event coming from the subscription.
+ *
+ * @param {Object} resp
+ * @private
+ */
+
+WatchmanWatcher.prototype.handleChangeEvent = function (resp) {
+  _assert().default.equal(
+    resp.subscription,
+    SUB_NAME,
+    'Invalid subscription event.'
+  );
+
+  if (resp.is_fresh_instance) {
+    this.emit('fresh_instance');
+  }
+
+  if (resp.is_fresh_instance) {
+    this.emit('fresh_instance');
+  }
+
+  if (Array.isArray(resp.files)) {
+    resp.files.forEach(this.handleFileChange, this);
+  }
+};
+/**
+ * Handles a single change event record.
+ *
+ * @param {Object} changeDescriptor
+ * @private
+ */
+
+WatchmanWatcher.prototype.handleFileChange = function (changeDescriptor) {
+  const self = this;
+  let absPath;
+  let relativePath;
+
+  if (this.capabilities.relative_root) {
+    relativePath = changeDescriptor.name;
+    absPath = _path().default.join(
+      this.watchProjectInfo.root,
+      this.watchProjectInfo.relativePath,
+      relativePath
+    );
+  } else {
+    absPath = _path().default.join(this.root, changeDescriptor.name);
+    relativePath = changeDescriptor.name;
+  }
+
+  if (
+    !(self.capabilities.wildmatch && !this.hasIgnore) &&
+    !_common().default.isFileIncluded(
+      this.globs,
+      this.dot,
+      this.doIgnore,
+      relativePath
+    )
+  ) {
+    return;
+  }
+
+  if (!changeDescriptor.exists) {
+    self.emitEvent(DELETE_EVENT, relativePath, self.root);
+  } else {
+    fs().lstat(absPath, (error, stat) => {
+      // Files can be deleted between the event and the lstat call
+      // the most reliable thing to do here is to ignore the event.
+      if (error && error.code === 'ENOENT') {
+        return;
+      }
+
+      if (handleError(self, error)) {
+        return;
+      }
+
+      const eventType = changeDescriptor.new ? ADD_EVENT : CHANGE_EVENT; // Change event on dirs are mostly useless.
+
+      if (!(eventType === CHANGE_EVENT && stat.isDirectory())) {
+        self.emitEvent(eventType, relativePath, self.root, stat);
+      }
+    });
+  }
+};
+/**
+ * Dispatches the event.
+ *
+ * @param {string} eventType
+ * @param {string} filepath
+ * @param {string} root
+ * @param {fs.Stat} stat
+ * @private
+ */
+
+WatchmanWatcher.prototype.emitEvent = function (
+  eventType,
+  filepath,
+  root,
+  stat
+) {
+  this.emit(eventType, filepath, root, stat);
+  this.emit(ALL_EVENT, eventType, filepath, root, stat);
+};
+/**
+ * Closes the watcher.
+ *
+ * @param {function} callback
+ * @private
+ */
+
+WatchmanWatcher.prototype.close = function (callback) {
+  this.client.removeAllListeners();
+  this.client.end();
+  callback && callback(null, true);
+};
+/**
+ * Handles an error and returns true if exists.
+ *
+ * @param {WatchmanWatcher} self
+ * @param {Error} error
+ * @private
+ */
+
+function handleError(self, error) {
+  if (error != null) {
+    self.emit('error', error);
+    return true;
+  } else {
+    return false;
+  }
+}
+/**
+ * Handles a warning in the watchman resp object.
+ *
+ * @param {object} resp
+ * @private
+ */
+
+function handleWarning(resp) {
+  if ('warning' in resp) {
+    if (_recrawlWarningDedupe().default.isRecrawlWarningDupe(resp.warning)) {
+      return true;
+    }
+
+    console.warn(resp.warning);
+    return true;
+  } else {
+    return false;
+  }
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/dependencyExtractor.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/dependencyExtractor.d.ts
new file mode 100644
index 000000000..cb927b5ba
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/dependencyExtractor.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare function extract(code: string): Set<string>;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/dependencyExtractor.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/dependencyExtractor.js
new file mode 100644
index 000000000..6d34b2384
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/dependencyExtractor.js
@@ -0,0 +1,99 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.extract = extract;
+
+var _isRegExpSupported = _interopRequireDefault(require('./isRegExpSupported'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// Negative look behind is only supported in Node 9+
+const NOT_A_DOT = (0, _isRegExpSupported.default)('(?<!\\.\\s*)')
+  ? '(?<!\\.\\s*)'
+  : '(?:^|[^.]\\s*)';
+
+const CAPTURE_STRING_LITERAL = pos => `([\`'"])([^'"\`]*?)(?:\\${pos})`;
+
+const WORD_SEPARATOR = '\\b';
+const LEFT_PARENTHESIS = '\\(';
+const RIGHT_PARENTHESIS = '\\)';
+const WHITESPACE = '\\s*';
+const OPTIONAL_COMMA = '(:?,\\s*)?';
+
+function createRegExp(parts, flags) {
+  return new RegExp(parts.join(''), flags);
+}
+
+function alternatives(...parts) {
+  return `(?:${parts.join('|')})`;
+}
+
+function functionCallStart(...names) {
+  return [
+    NOT_A_DOT,
+    WORD_SEPARATOR,
+    alternatives(...names),
+    WHITESPACE,
+    LEFT_PARENTHESIS,
+    WHITESPACE
+  ];
+}
+
+const BLOCK_COMMENT_RE = /\/\*[^]*?\*\//g;
+const LINE_COMMENT_RE = /\/\/.*/g;
+const REQUIRE_OR_DYNAMIC_IMPORT_RE = createRegExp(
+  [
+    ...functionCallStart('require', 'import'),
+    CAPTURE_STRING_LITERAL(1),
+    WHITESPACE,
+    OPTIONAL_COMMA,
+    RIGHT_PARENTHESIS
+  ],
+  'g'
+);
+const IMPORT_OR_EXPORT_RE = createRegExp(
+  [
+    '\\b(?:import|export)\\s+(?!type(?:of)?\\s+)(?:[^\'"]+\\s+from\\s+)?',
+    CAPTURE_STRING_LITERAL(1)
+  ],
+  'g'
+);
+const JEST_EXTENSIONS_RE = createRegExp(
+  [
+    ...functionCallStart(
+      'jest\\s*\\.\\s*(?:requireActual|requireMock|genMockFromModule|createMockFromModule)'
+    ),
+    CAPTURE_STRING_LITERAL(1),
+    WHITESPACE,
+    OPTIONAL_COMMA,
+    RIGHT_PARENTHESIS
+  ],
+  'g'
+);
+
+function extract(code) {
+  const dependencies = new Set();
+
+  const addDependency = (match, _, dep) => {
+    dependencies.add(dep);
+    return match;
+  };
+
+  code
+    .replace(BLOCK_COMMENT_RE, '')
+    .replace(LINE_COMMENT_RE, '')
+    .replace(IMPORT_OR_EXPORT_RE, addDependency)
+    .replace(REQUIRE_OR_DYNAMIC_IMPORT_RE, addDependency)
+    .replace(JEST_EXTENSIONS_RE, addDependency);
+  return dependencies;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/fast_path.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/fast_path.d.ts
new file mode 100644
index 000000000..eaf1c6347
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/fast_path.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare function relative(rootDir: string, filename: string): string;
+export declare function resolve(rootDir: string, relativeFilename: string): string;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/fast_path.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/fast_path.js
new file mode 100644
index 000000000..3236c3bba
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/fast_path.js
@@ -0,0 +1,81 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.relative = relative;
+exports.resolve = resolve;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// rootDir and filename must be absolute paths (resolved)
+function relative(rootDir, filename) {
+  return filename.indexOf(rootDir + path().sep) === 0
+    ? filename.substr(rootDir.length + 1)
+    : path().relative(rootDir, filename);
+}
+
+const INDIRECTION_FRAGMENT = '..' + path().sep; // rootDir must be an absolute path and relativeFilename must be simple
+// (e.g.: foo/bar or ../foo/bar, but never ./foo or foo/../bar)
+
+function resolve(rootDir, relativeFilename) {
+  return relativeFilename.indexOf(INDIRECTION_FRAGMENT) === 0
+    ? path().resolve(rootDir, relativeFilename)
+    : rootDir + path().sep + relativeFilename;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/getPlatformExtension.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/getPlatformExtension.d.ts
new file mode 100644
index 000000000..62f88defe
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/getPlatformExtension.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function getPlatformExtension(file: string, platforms?: Array<string>): string | null;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/getPlatformExtension.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/getPlatformExtension.js
new file mode 100644
index 000000000..6b9e564f9
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/getPlatformExtension.js
@@ -0,0 +1,31 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = getPlatformExtension;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const SUPPORTED_PLATFORM_EXTS = new Set(['android', 'ios', 'native', 'web']); // Extract platform extension: index.ios.js -> ios
+
+function getPlatformExtension(file, platforms) {
+  const last = file.lastIndexOf('.');
+  const secondToLast = file.lastIndexOf('.', last - 1);
+
+  if (secondToLast === -1) {
+    return null;
+  }
+
+  const platform = file.substring(secondToLast + 1, last); // If an overriding platform array is passed, check that first
+
+  if (platforms && platforms.indexOf(platform) !== -1) {
+    return platform;
+  }
+
+  return SUPPORTED_PLATFORM_EXTS.has(platform) ? platform : null;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/isRegExpSupported.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/isRegExpSupported.d.ts
new file mode 100644
index 000000000..ba40ca398
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/isRegExpSupported.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function isRegExpSupported(value: string): boolean;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/isRegExpSupported.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/isRegExpSupported.js
new file mode 100644
index 000000000..44de4e119
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/isRegExpSupported.js
@@ -0,0 +1,22 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = isRegExpSupported;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function isRegExpSupported(value) {
+  try {
+    // eslint-disable-next-line no-new
+    new RegExp(value);
+    return true;
+  } catch (e) {
+    return false;
+  }
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/normalizePathSep.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/normalizePathSep.d.ts
new file mode 100644
index 000000000..1490ab7f4
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/normalizePathSep.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare let normalizePathSep: (string: string) => string;
+export default normalizePathSep;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/normalizePathSep.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/normalizePathSep.js
new file mode 100644
index 000000000..df76a24f3
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/lib/normalizePathSep.js
@@ -0,0 +1,75 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+let normalizePathSep;
+
+if (path().sep === '/') {
+  normalizePathSep = filePath => filePath;
+} else {
+  normalizePathSep = filePath => filePath.replace(/\//g, path().sep);
+}
+
+var _default = normalizePathSep;
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/types.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/types.d.ts
new file mode 100644
index 000000000..e1e7ab0fd
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/types.d.ts
@@ -0,0 +1,95 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type { Stats } from 'graceful-fs';
+import type { Config } from '@jest/types';
+import type ModuleMap from './ModuleMap';
+import type HasteFS from './HasteFS';
+export declare type IgnoreMatcher = (item: string) => boolean;
+export declare type WorkerMessage = {
+    computeDependencies: boolean;
+    computeSha1: boolean;
+    dependencyExtractor?: string | null;
+    rootDir: string;
+    filePath: string;
+    hasteImplModulePath?: string;
+};
+export declare type WorkerMetadata = {
+    dependencies: Array<string> | undefined | null;
+    id: string | undefined | null;
+    module: ModuleMetaData | undefined | null;
+    sha1: string | undefined | null;
+};
+export declare type CrawlerOptions = {
+    computeSha1: boolean;
+    data: InternalHasteMap;
+    extensions: Array<string>;
+    forceNodeFilesystemAPI: boolean;
+    ignore: IgnoreMatcher;
+    rootDir: string;
+    roots: Array<string>;
+};
+export declare type HasteImpl = {
+    getHasteName(filePath: Config.Path): string | undefined;
+};
+export declare type FileData = Map<Config.Path, FileMetaData>;
+export declare type FileMetaData = [string, number, number, 0 | 1, string, string | null | undefined];
+export declare type MockData = Map<string, Config.Path>;
+export declare type ModuleMapData = Map<string, ModuleMapItem>;
+export declare type WatchmanClocks = Map<Config.Path, string>;
+export declare type HasteRegExp = RegExp | ((str: string) => boolean);
+export declare type DuplicatesSet = Map<string, /* type */ number>;
+export declare type DuplicatesIndex = Map<string, Map<string, DuplicatesSet>>;
+export declare type InternalHasteMap = {
+    clocks: WatchmanClocks;
+    duplicates: DuplicatesIndex;
+    files: FileData;
+    map: ModuleMapData;
+    mocks: MockData;
+};
+export declare type HasteMap = {
+    hasteFS: HasteFS;
+    moduleMap: ModuleMap;
+    __hasteMapForTest?: InternalHasteMap | null;
+};
+export declare type RawModuleMap = {
+    rootDir: Config.Path;
+    duplicates: DuplicatesIndex;
+    map: ModuleMapData;
+    mocks: MockData;
+};
+declare type ModuleMapItem = {
+    [platform: string]: ModuleMetaData;
+};
+export declare type ModuleMetaData = [Config.Path, /* type */ number];
+export declare type HType = {
+    ID: 0;
+    MTIME: 1;
+    SIZE: 2;
+    VISITED: 3;
+    DEPENDENCIES: 4;
+    SHA1: 5;
+    PATH: 0;
+    TYPE: 1;
+    MODULE: 0;
+    PACKAGE: 1;
+    GENERIC_PLATFORM: 'g';
+    NATIVE_PLATFORM: 'native';
+    DEPENDENCY_DELIM: '\0';
+};
+export declare type HTypeValue = HType[keyof HType];
+export declare type EventsQueue = Array<{
+    filePath: Config.Path;
+    stat: Stats | undefined;
+    type: string;
+}>;
+export declare type ChangeEvent = {
+    eventsQueue: EventsQueue;
+    hasteFS: HasteFS;
+    moduleMap: ModuleMap;
+};
+export {};
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/types.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/types.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/types.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/worker.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/worker.d.ts
new file mode 100644
index 000000000..d17e714c8
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/worker.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { WorkerMessage, WorkerMetadata } from './types';
+export declare function worker(data: WorkerMessage): Promise<WorkerMetadata>;
+export declare function getSha1(data: WorkerMessage): Promise<WorkerMetadata>;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/worker.js b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/worker.js
new file mode 100644
index 000000000..a11e1af03
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/build/worker.js
@@ -0,0 +1,197 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.worker = worker;
+exports.getSha1 = getSha1;
+
+function _crypto() {
+  const data = require('crypto');
+
+  _crypto = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _blacklist = _interopRequireDefault(require('./blacklist'));
+
+var _constants = _interopRequireDefault(require('./constants'));
+
+var dependencyExtractor = _interopRequireWildcard(
+  require('./lib/dependencyExtractor')
+);
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const PACKAGE_JSON = path().sep + 'package.json';
+let hasteImpl = null;
+let hasteImplModulePath = null;
+
+function sha1hex(content) {
+  return (0, _crypto().createHash)('sha1').update(content).digest('hex');
+}
+
+async function worker(data) {
+  if (
+    data.hasteImplModulePath &&
+    data.hasteImplModulePath !== hasteImplModulePath
+  ) {
+    if (hasteImpl) {
+      throw new Error('jest-haste-map: hasteImplModulePath changed');
+    }
+
+    hasteImplModulePath = data.hasteImplModulePath;
+    hasteImpl = require(hasteImplModulePath);
+  }
+
+  let content;
+  let dependencies;
+  let id;
+  let module;
+  let sha1;
+  const {computeDependencies, computeSha1, rootDir, filePath} = data;
+
+  const getContent = () => {
+    if (content === undefined) {
+      content = fs().readFileSync(filePath, 'utf8');
+    }
+
+    return content;
+  };
+
+  if (filePath.endsWith(PACKAGE_JSON)) {
+    // Process a package.json that is returned as a PACKAGE type with its name.
+    try {
+      const fileData = JSON.parse(getContent());
+
+      if (fileData.name) {
+        const relativeFilePath = path().relative(rootDir, filePath);
+        id = fileData.name;
+        module = [relativeFilePath, _constants.default.PACKAGE];
+      }
+    } catch (err) {
+      throw new Error(`Cannot parse ${filePath} as JSON: ${err.message}`);
+    }
+  } else if (
+    !_blacklist.default.has(filePath.substr(filePath.lastIndexOf('.')))
+  ) {
+    // Process a random file that is returned as a MODULE.
+    if (hasteImpl) {
+      id = hasteImpl.getHasteName(filePath);
+    }
+
+    if (computeDependencies) {
+      const content = getContent();
+      dependencies = Array.from(
+        data.dependencyExtractor
+          ? require(data.dependencyExtractor).extract(
+              content,
+              filePath,
+              dependencyExtractor.extract
+            )
+          : dependencyExtractor.extract(content)
+      );
+    }
+
+    if (id) {
+      const relativeFilePath = path().relative(rootDir, filePath);
+      module = [relativeFilePath, _constants.default.MODULE];
+    }
+  } // If a SHA-1 is requested on update, compute it.
+
+  if (computeSha1) {
+    sha1 = sha1hex(getContent() || fs().readFileSync(filePath));
+  }
+
+  return {
+    dependencies,
+    id,
+    module,
+    sha1
+  };
+}
+
+async function getSha1(data) {
+  const sha1 = data.computeSha1
+    ? sha1hex(fs().readFileSync(data.filePath))
+    : null;
+  return {
+    dependencies: undefined,
+    id: undefined,
+    module: undefined,
+    sha1
+  };
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/package.json b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/package.json
new file mode 100644
index 000000000..cc8ada19e
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-haste-map/package.json
@@ -0,0 +1,79 @@
+{
+  "_args": [
+    [
+      "jest-haste-map@26.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-haste-map@26.1.0",
+  "_id": "jest-haste-map@26.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-WeBS54xCIz9twzkEdm6+vJBXgRBQfdbbXD0dk8lJh7gLihopABlJmIQFdWSDDtuDe4PRiObsjZSUjbJ1uhWEpA==",
+  "_location": "/@jest/test-sequencer/jest-haste-map",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-haste-map@26.1.0",
+    "name": "jest-haste-map",
+    "escapedName": "jest-haste-map",
+    "rawSpec": "26.1.0",
+    "saveSpec": null,
+    "fetchSpec": "26.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-haste-map/-/jest-haste-map-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/types": "^26.1.0",
+    "@types/graceful-fs": "^4.1.2",
+    "anymatch": "^3.0.3",
+    "fb-watchman": "^2.0.0",
+    "fsevents": "^2.1.2",
+    "graceful-fs": "^4.2.4",
+    "jest-serializer": "^26.1.0",
+    "jest-util": "^26.1.0",
+    "jest-worker": "^26.1.0",
+    "micromatch": "^4.0.2",
+    "sane": "^4.0.3",
+    "walker": "^1.0.7",
+    "which": "^2.0.2"
+  },
+  "devDependencies": {
+    "@jest/test-utils": "^26.0.0",
+    "@types/anymatch": "^1.3.1",
+    "@types/fb-watchman": "^2.0.0",
+    "@types/micromatch": "^4.0.0",
+    "@types/node": "*",
+    "@types/sane": "^2.0.0",
+    "@types/which": "^1.3.2"
+  },
+  "engines": {
+    "node": ">= 10.14.2"
+  },
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-haste-map",
+  "optionalDependencies": {
+    "fsevents": "^2.1.2"
+  },
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-haste-map"
+  },
+  "types": "build/index.d.ts",
+  "version": "26.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-message-util/LICENSE b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/index.d.ts
new file mode 100644
index 000000000..7be2d8412
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/index.d.ts
@@ -0,0 +1,23 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config, TestResult } from '@jest/types';
+import type { Frame } from './types';
+export type { Frame } from './types';
+export declare type StackTraceConfig = Pick<Config.ProjectConfig, 'rootDir' | 'testMatch'>;
+export declare type StackTraceOptions = {
+    noStackTrace: boolean;
+    noCodeFrame?: boolean;
+};
+export declare const formatExecError: (error: Error | TestResult.SerializableError | string | undefined, config: StackTraceConfig, options: StackTraceOptions, testPath?: string | undefined, reuseMessage?: boolean | undefined) => string;
+export declare const getStackTraceLines: (stack: string, options?: StackTraceOptions) => Array<string>;
+export declare const getTopFrame: (lines: Array<string>) => Frame | null;
+export declare const formatStackTrace: (stack: string, config: StackTraceConfig, options: StackTraceOptions, testPath?: string | undefined) => string;
+export declare const formatResultsErrors: (testResults: Array<TestResult.AssertionResult>, config: StackTraceConfig, options: StackTraceOptions, testPath?: string | undefined) => string | null;
+export declare const separateMessageFromStack: (content: string) => {
+    message: string;
+    stack: string;
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/index.js b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/index.js
new file mode 100644
index 000000000..7ca2a818a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/index.js
@@ -0,0 +1,431 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.separateMessageFromStack = exports.formatResultsErrors = exports.formatStackTrace = exports.getTopFrame = exports.getStackTraceLines = exports.formatExecError = void 0;
+
+var path = _interopRequireWildcard(require('path'));
+
+var fs = _interopRequireWildcard(require('graceful-fs'));
+
+var _chalk = _interopRequireDefault(require('chalk'));
+
+var _micromatch = _interopRequireDefault(require('micromatch'));
+
+var _slash = _interopRequireDefault(require('slash'));
+
+var _codeFrame = require('@babel/code-frame');
+
+var _stackUtils = _interopRequireDefault(require('stack-utils'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var Symbol = global['jest-symbol-do-not-touch'] || global.Symbol;
+var jestReadFile =
+  global[Symbol.for('jest-native-read-file')] || fs.readFileSync;
+// stack utils tries to create pretty stack by making paths relative.
+const stackUtils = new _stackUtils.default({
+  cwd: 'something which does not exist'
+});
+let nodeInternals = [];
+
+try {
+  nodeInternals = _stackUtils.default.nodeInternals();
+} catch (e) {
+  // `StackUtils.nodeInternals()` fails in browsers. We don't need to remove
+  // node internals in the browser though, so no issue.
+}
+
+const PATH_NODE_MODULES = `${path.sep}node_modules${path.sep}`;
+const PATH_JEST_PACKAGES = `${path.sep}jest${path.sep}packages${path.sep}`; // filter for noisy stack trace lines
+
+const JASMINE_IGNORE = /^\s+at(?:(?:.jasmine\-)|\s+jasmine\.buildExpectationResult)/;
+const JEST_INTERNALS_IGNORE = /^\s+at.*?jest(-.*?)?(\/|\\)(build|node_modules|packages)(\/|\\)/;
+const ANONYMOUS_FN_IGNORE = /^\s+at <anonymous>.*$/;
+const ANONYMOUS_PROMISE_IGNORE = /^\s+at (new )?Promise \(<anonymous>\).*$/;
+const ANONYMOUS_GENERATOR_IGNORE = /^\s+at Generator.next \(<anonymous>\).*$/;
+const NATIVE_NEXT_IGNORE = /^\s+at next \(native\).*$/;
+const TITLE_INDENT = '  ';
+const MESSAGE_INDENT = '    ';
+const STACK_INDENT = '      ';
+const ANCESTRY_SEPARATOR = ' \u203A ';
+
+const TITLE_BULLET = _chalk.default.bold('\u25cf ');
+
+const STACK_TRACE_COLOR = _chalk.default.dim;
+const STACK_PATH_REGEXP = /\s*at.*\(?(\:\d*\:\d*|native)\)?/;
+const EXEC_ERROR_MESSAGE = 'Test suite failed to run';
+const NOT_EMPTY_LINE_REGEXP = /^(?!$)/gm;
+
+const indentAllLines = (lines, indent) =>
+  lines.replace(NOT_EMPTY_LINE_REGEXP, indent);
+
+const trim = string => (string || '').trim(); // Some errors contain not only line numbers in stack traces
+// e.g. SyntaxErrors can contain snippets of code, and we don't
+// want to trim those, because they may have pointers to the column/character
+// which will get misaligned.
+
+const trimPaths = string =>
+  string.match(STACK_PATH_REGEXP) ? trim(string) : string;
+
+const getRenderedCallsite = (fileContent, line, column) => {
+  let renderedCallsite = (0, _codeFrame.codeFrameColumns)(
+    fileContent,
+    {
+      start: {
+        column,
+        line
+      }
+    },
+    {
+      highlightCode: true
+    }
+  );
+  renderedCallsite = indentAllLines(renderedCallsite, MESSAGE_INDENT);
+  renderedCallsite = `\n${renderedCallsite}\n`;
+  return renderedCallsite;
+};
+
+const blankStringRegexp = /^\s*$/;
+
+function checkForCommonEnvironmentErrors(error) {
+  if (
+    error.includes('ReferenceError: document is not defined') ||
+    error.includes('ReferenceError: window is not defined') ||
+    error.includes('ReferenceError: navigator is not defined')
+  ) {
+    return warnAboutWrongTestEnvironment(error, 'jsdom');
+  } else if (error.includes('.unref is not a function')) {
+    return warnAboutWrongTestEnvironment(error, 'node');
+  }
+
+  return error;
+}
+
+function warnAboutWrongTestEnvironment(error, env) {
+  return (
+    _chalk.default.bold.red(
+      `The error below may be caused by using the wrong test environment, see ${_chalk.default.dim.underline(
+        'https://jestjs.io/docs/en/configuration#testenvironment-string'
+      )}.\nConsider using the "${env}" test environment.\n\n`
+    ) + error
+  );
+} // ExecError is an error thrown outside of the test suite (not inside an `it` or
+// `before/after each` hooks). If it's thrown, none of the tests in the file
+// are executed.
+
+const formatExecError = (error, config, options, testPath, reuseMessage) => {
+  if (!error || typeof error === 'number') {
+    error = new Error(`Expected an Error, but "${String(error)}" was thrown`);
+    error.stack = '';
+  }
+
+  let message, stack;
+
+  if (typeof error === 'string' || !error) {
+    error || (error = 'EMPTY ERROR');
+    message = '';
+    stack = error;
+  } else {
+    message = error.message;
+    stack = error.stack;
+  }
+
+  const separated = separateMessageFromStack(stack || '');
+  stack = separated.stack;
+
+  if (separated.message.includes(trim(message))) {
+    // Often stack trace already contains the duplicate of the message
+    message = separated.message;
+  }
+
+  message = checkForCommonEnvironmentErrors(message);
+  message = indentAllLines(message, MESSAGE_INDENT);
+  stack =
+    stack && !options.noStackTrace
+      ? '\n' + formatStackTrace(stack, config, options, testPath)
+      : '';
+
+  if (blankStringRegexp.test(message) && blankStringRegexp.test(stack)) {
+    // this can happen if an empty object is thrown.
+    message = MESSAGE_INDENT + 'Error: No message was provided';
+  }
+
+  let messageToUse;
+
+  if (reuseMessage) {
+    messageToUse = ` ${message.trim()}`;
+  } else {
+    messageToUse = `${EXEC_ERROR_MESSAGE}\n\n${message}`;
+  }
+
+  return TITLE_INDENT + TITLE_BULLET + messageToUse + stack + '\n';
+};
+
+exports.formatExecError = formatExecError;
+
+const removeInternalStackEntries = (lines, options) => {
+  let pathCounter = 0;
+  return lines.filter(line => {
+    if (ANONYMOUS_FN_IGNORE.test(line)) {
+      return false;
+    }
+
+    if (ANONYMOUS_PROMISE_IGNORE.test(line)) {
+      return false;
+    }
+
+    if (ANONYMOUS_GENERATOR_IGNORE.test(line)) {
+      return false;
+    }
+
+    if (NATIVE_NEXT_IGNORE.test(line)) {
+      return false;
+    }
+
+    if (nodeInternals.some(internal => internal.test(line))) {
+      return false;
+    }
+
+    if (!STACK_PATH_REGEXP.test(line)) {
+      return true;
+    }
+
+    if (JASMINE_IGNORE.test(line)) {
+      return false;
+    }
+
+    if (++pathCounter === 1) {
+      return true; // always keep the first line even if it's from Jest
+    }
+
+    if (options.noStackTrace) {
+      return false;
+    }
+
+    if (JEST_INTERNALS_IGNORE.test(line)) {
+      return false;
+    }
+
+    return true;
+  });
+};
+
+const formatPaths = (config, relativeTestPath, line) => {
+  // Extract the file path from the trace line.
+  const match = line.match(/(^\s*at .*?\(?)([^()]+)(:[0-9]+:[0-9]+\)?.*$)/);
+
+  if (!match) {
+    return line;
+  }
+
+  let filePath = (0, _slash.default)(path.relative(config.rootDir, match[2])); // highlight paths from the current test file
+
+  if (
+    (config.testMatch &&
+      config.testMatch.length &&
+      (0, _micromatch.default)([filePath], config.testMatch).length > 0) ||
+    filePath === relativeTestPath
+  ) {
+    filePath = _chalk.default.reset.cyan(filePath);
+  }
+
+  return STACK_TRACE_COLOR(match[1]) + filePath + STACK_TRACE_COLOR(match[3]);
+};
+
+const getStackTraceLines = (
+  stack,
+  options = {
+    noCodeFrame: false,
+    noStackTrace: false
+  }
+) => removeInternalStackEntries(stack.split(/\n/), options);
+
+exports.getStackTraceLines = getStackTraceLines;
+
+const getTopFrame = lines => {
+  for (const line of lines) {
+    if (line.includes(PATH_NODE_MODULES) || line.includes(PATH_JEST_PACKAGES)) {
+      continue;
+    }
+
+    const parsedFrame = stackUtils.parseLine(line.trim());
+
+    if (parsedFrame && parsedFrame.file) {
+      return parsedFrame;
+    }
+  }
+
+  return null;
+};
+
+exports.getTopFrame = getTopFrame;
+
+const formatStackTrace = (stack, config, options, testPath) => {
+  const lines = getStackTraceLines(stack, options);
+  let renderedCallsite = '';
+  const relativeTestPath = testPath
+    ? (0, _slash.default)(path.relative(config.rootDir, testPath))
+    : null;
+
+  if (!options.noStackTrace && !options.noCodeFrame) {
+    const topFrame = getTopFrame(lines);
+
+    if (topFrame) {
+      const {column, file: filename, line} = topFrame;
+
+      if (line && filename && path.isAbsolute(filename)) {
+        let fileContent;
+
+        try {
+          // TODO: check & read HasteFS instead of reading the filesystem:
+          // see: https://github.com/facebook/jest/pull/5405#discussion_r164281696
+          fileContent = jestReadFile(filename, 'utf8');
+          renderedCallsite = getRenderedCallsite(fileContent, line, column);
+        } catch (e) {
+          // the file does not exist or is inaccessible, we ignore
+        }
+      }
+    }
+  }
+
+  const stacktrace = lines
+    .filter(Boolean)
+    .map(
+      line =>
+        STACK_INDENT + formatPaths(config, relativeTestPath, trimPaths(line))
+    )
+    .join('\n');
+  return renderedCallsite
+    ? `${renderedCallsite}\n${stacktrace}`
+    : `\n${stacktrace}`;
+};
+
+exports.formatStackTrace = formatStackTrace;
+
+const formatResultsErrors = (testResults, config, options, testPath) => {
+  const failedResults = testResults.reduce((errors, result) => {
+    result.failureMessages
+      .map(checkForCommonEnvironmentErrors)
+      .forEach(content =>
+        errors.push({
+          content,
+          result
+        })
+      );
+    return errors;
+  }, []);
+
+  if (!failedResults.length) {
+    return null;
+  }
+
+  return failedResults
+    .map(({result, content}) => {
+      let {message, stack} = separateMessageFromStack(content);
+      stack = options.noStackTrace
+        ? ''
+        : STACK_TRACE_COLOR(
+            formatStackTrace(stack, config, options, testPath)
+          ) + '\n';
+      message = indentAllLines(message, MESSAGE_INDENT);
+      const title =
+        _chalk.default.bold.red(
+          TITLE_INDENT +
+            TITLE_BULLET +
+            result.ancestorTitles.join(ANCESTRY_SEPARATOR) +
+            (result.ancestorTitles.length ? ANCESTRY_SEPARATOR : '') +
+            result.title
+        ) + '\n';
+      return title + '\n' + message + '\n' + stack;
+    })
+    .join('\n');
+};
+
+exports.formatResultsErrors = formatResultsErrors;
+const errorRegexp = /^Error:?\s*$/;
+
+const removeBlankErrorLine = str =>
+  str
+    .split('\n') // Lines saying just `Error:` are useless
+    .filter(line => !errorRegexp.test(line))
+    .join('\n')
+    .trimRight(); // jasmine and worker farm sometimes don't give us access to the actual
+// Error object, so we have to regexp out the message from the stack string
+// to format it.
+
+const separateMessageFromStack = content => {
+  if (!content) {
+    return {
+      message: '',
+      stack: ''
+    };
+  } // All lines up to what looks like a stack -- or if nothing looks like a stack
+  // (maybe it's a code frame instead), just the first non-empty line.
+  // If the error is a plain "Error:" instead of a SyntaxError or TypeError we
+  // remove the prefix from the message because it is generally not useful.
+
+  const messageMatch = content.match(
+    /^(?:Error: )?([\s\S]*?(?=\n\s*at\s.*:\d*:\d*)|\s*.*)([\s\S]*)$/
+  );
+
+  if (!messageMatch) {
+    // For typescript
+    throw new Error('If you hit this error, the regex above is buggy.');
+  }
+
+  const message = removeBlankErrorLine(messageMatch[1]);
+  const stack = removeBlankErrorLine(messageMatch[2]);
+  return {
+    message,
+    stack
+  };
+};
+
+exports.separateMessageFromStack = separateMessageFromStack;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/types.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/types.d.ts
new file mode 100644
index 000000000..9a95b778a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/types.d.ts
@@ -0,0 +1,10 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { StackData } from 'stack-utils';
+export interface Frame extends StackData {
+    file: string;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/types.js b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/types.js
new file mode 100644
index 000000000..ad9a93a7c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/build/types.js
@@ -0,0 +1 @@
+'use strict';
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-message-util/package.json b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/package.json
new file mode 100644
index 000000000..87733cbd4
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-message-util/package.json
@@ -0,0 +1,67 @@
+{
+  "_args": [
+    [
+      "jest-message-util@26.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-message-util@26.1.0",
+  "_id": "jest-message-util@26.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-dY0+UlldiAJwNDJ08SF0HdF32g9PkbF2NRK/+2iMPU40O6q+iSn1lgog/u0UH8ksWoPv0+gNq8cjhYO2MFtT0g==",
+  "_location": "/@jest/test-sequencer/jest-message-util",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-message-util@26.1.0",
+    "name": "jest-message-util",
+    "escapedName": "jest-message-util",
+    "rawSpec": "26.1.0",
+    "saveSpec": null,
+    "fetchSpec": "26.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/@jest/console"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-message-util/-/jest-message-util-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@babel/code-frame": "^7.0.0",
+    "@jest/types": "^26.1.0",
+    "@types/stack-utils": "^1.0.1",
+    "chalk": "^4.0.0",
+    "graceful-fs": "^4.2.4",
+    "micromatch": "^4.0.2",
+    "slash": "^3.0.0",
+    "stack-utils": "^2.0.2"
+  },
+  "devDependencies": {
+    "@types/babel__code-frame": "^7.0.0",
+    "@types/graceful-fs": "^4.1.3",
+    "@types/micromatch": "^4.0.0"
+  },
+  "engines": {
+    "node": ">= 10.14.2"
+  },
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-message-util",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-message-util"
+  },
+  "types": "build/index.d.ts",
+  "version": "26.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-serializer/LICENSE b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-serializer/README.md b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/README.md
new file mode 100644
index 000000000..43c8bb13a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/README.md
@@ -0,0 +1,47 @@
+# jest-serializer
+
+Module for serializing and deserializing object into memory and disk. By default, the `v8` implementations are used, but if not present, it defaults to `JSON` implementation. Both serializers have the advantage of being able to serialize `Map`, `Set`, `undefined`, `NaN`, etc, although the JSON one does it through a replacer/reviver.
+
+## Install
+
+```sh
+$ yarn add jest-serializer
+```
+
+## API
+
+Three kinds of API groups are exposed:
+
+### In-memory serialization: `serialize` and `deserialize`
+
+This set of functions take or return a `Buffer`. All the process happens in memory. This is useful when willing to transfer over HTTP, TCP or via UNIX pipes.
+
+```javascript
+import {deserialize, serialize} from 'jest-serializer';
+
+const myObject = {
+  foo: 'bar',
+  baz: [0, true, '2', [], {}],
+};
+
+const buffer = serialize(myObject);
+const myCopyObject = deserialize(buffer);
+```
+
+### Synchronous persistent filesystem: `readFileSync` and `writeFileSync`
+
+This set of functions allow to send to disk a serialization result and retrieve it back, in a synchronous way. It mimics the `fs` API so it looks familiar.
+
+```javascript
+import {readFileSync, writeFileSync} from 'jest-serializer';
+
+const myObject = {
+  foo: 'bar',
+  baz: [0, true, '2', [], {}],
+};
+
+const myFile = '/tmp/obj';
+
+writeFileSync(myFile, myObject);
+const myCopyObject = readFileSync(myFile);
+```
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-serializer/build/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/build/index.d.ts
new file mode 100644
index 000000000..fe76bdeb3
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/build/index.d.ts
@@ -0,0 +1,20 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference path="../v8.d.ts" />
+/// <reference types="node" />
+declare type Path = string;
+export declare function deserialize(buffer: Buffer): any;
+export declare function serialize(content: unknown): Buffer;
+export declare function readFileSync(filePath: Path): any;
+export declare function writeFileSync(filePath: Path, content: unknown): void;
+declare const _default: {
+    deserialize: typeof deserialize;
+    readFileSync: typeof readFileSync;
+    serialize: typeof serialize;
+    writeFileSync: typeof writeFileSync;
+};
+export default _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-serializer/build/index.js b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/build/index.js
new file mode 100644
index 000000000..f2bec8ba8
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/build/index.js
@@ -0,0 +1,109 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.deserialize = deserialize;
+exports.serialize = serialize;
+exports.readFileSync = readFileSync;
+exports.writeFileSync = writeFileSync;
+exports.default = void 0;
+
+function _v() {
+  const data = require('v8');
+
+  _v = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// TODO: Remove this
+/// <reference path="../v8.d.ts" />
+// JSON and V8 serializers are both stable when it comes to compatibility. The
+// current JSON specification is well defined in RFC 8259, and V8 ensures that
+// the versions are compatible by encoding the serialization version in the own
+// generated buffer.
+// In memory functions.
+function deserialize(buffer) {
+  return (0, _v().deserialize)(buffer);
+}
+
+function serialize(content) {
+  return (0, _v().serialize)(content);
+} // Synchronous filesystem functions.
+
+function readFileSync(filePath) {
+  return (0, _v().deserialize)(fs().readFileSync(filePath));
+}
+
+function writeFileSync(filePath, content) {
+  return fs().writeFileSync(filePath, (0, _v().serialize)(content));
+}
+
+var _default = {
+  deserialize,
+  readFileSync,
+  serialize,
+  writeFileSync
+};
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-serializer/package.json b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/package.json
new file mode 100644
index 000000000..14d4f2bf9
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/package.json
@@ -0,0 +1,60 @@
+{
+  "_args": [
+    [
+      "jest-serializer@26.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-serializer@26.1.0",
+  "_id": "jest-serializer@26.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-eqZOQG/0+MHmr25b2Z86g7+Kzd5dG9dhCiUoyUNJPgiqi38DqbDEOlHcNijyfZoj74soGBohKBZuJFS18YTJ5w==",
+  "_location": "/@jest/test-sequencer/jest-serializer",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-serializer@26.1.0",
+    "name": "jest-serializer",
+    "escapedName": "jest-serializer",
+    "rawSpec": "26.1.0",
+    "saveSpec": null,
+    "fetchSpec": "26.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/jest-haste-map"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-serializer/-/jest-serializer-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "graceful-fs": "^4.2.4"
+  },
+  "description": "Module for serializing and deserializing object into memory and disk. By default, the `v8` implementations are used, but if not present, it defaults to `JSON` implementation. Both serializers have the advantage of being able to serialize `Map`, `Set`, `undefined`, `NaN`, etc, although the JSON one does it through a replacer/reviver.",
+  "devDependencies": {
+    "@types/graceful-fs": "^4.1.3",
+    "@types/node": "*"
+  },
+  "engines": {
+    "node": ">= 10.14.2"
+  },
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-serializer",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-serializer"
+  },
+  "types": "build/index.d.ts",
+  "version": "26.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-serializer/v8.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/v8.d.ts
new file mode 100644
index 000000000..809c49911
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-serializer/v8.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+declare module 'v8' {
+  function serialize(value: unknown): Buffer;
+  function deserialize(value: Buffer): unknown;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/LICENSE b/node_modules/@jest/test-sequencer/node_modules/jest-util/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/ErrorWithStack.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/ErrorWithStack.d.ts
new file mode 100644
index 000000000..2698f3621
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/ErrorWithStack.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default class ErrorWithStack extends Error {
+    constructor(message: string | undefined, callsite: Function);
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/ErrorWithStack.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/ErrorWithStack.js
new file mode 100644
index 000000000..da7b9d2a1
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/ErrorWithStack.js
@@ -0,0 +1,24 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+class ErrorWithStack extends Error {
+  constructor(message, callsite) {
+    super(message);
+
+    if (Error.captureStackTrace) {
+      Error.captureStackTrace(this, callsite);
+    }
+  }
+}
+
+exports.default = ErrorWithStack;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/clearLine.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/clearLine.d.ts
new file mode 100644
index 000000000..cf56b982c
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/clearLine.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+export default function clearLine(stream: NodeJS.WriteStream): void;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/clearLine.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/clearLine.js
new file mode 100644
index 000000000..36c258a8b
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/clearLine.js
@@ -0,0 +1,18 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = clearLine;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function clearLine(stream) {
+  if (stream.isTTY) {
+    stream.write('\x1b[999D\x1b[K');
+  }
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/convertDescriptorToString.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/convertDescriptorToString.d.ts
new file mode 100644
index 000000000..4d406660b
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/convertDescriptorToString.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function convertDescriptorToString<T extends number | string | Function | undefined>(descriptor: T): T | string;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/convertDescriptorToString.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/convertDescriptorToString.js
new file mode 100644
index 000000000..0cfab68d3
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/convertDescriptorToString.js
@@ -0,0 +1,39 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = convertDescriptorToString;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// See: https://github.com/facebook/jest/pull/5154
+function convertDescriptorToString(descriptor) {
+  if (
+    typeof descriptor === 'string' ||
+    typeof descriptor === 'number' ||
+    descriptor === undefined
+  ) {
+    return descriptor;
+  }
+
+  if (typeof descriptor !== 'function') {
+    throw new Error('describe expects a class, function, number, or string.');
+  }
+
+  if (descriptor.name !== undefined) {
+    return descriptor.name;
+  } // Fallback for old browsers, pardon Flow
+
+  const stringified = descriptor.toString();
+  const typeDescriptorMatch = stringified.match(/class|function/);
+  const indexOfNameSpace = // @ts-expect-error: typeDescriptorMatch exists
+    typeDescriptorMatch.index + typeDescriptorMatch[0].length;
+  const indexOfNameAfterSpace = stringified.search(/\(|\{/);
+  const name = stringified.substring(indexOfNameSpace, indexOfNameAfterSpace);
+  return name.trim();
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createDirectory.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createDirectory.d.ts
new file mode 100644
index 000000000..7e3e01625
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createDirectory.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+export default function createDirectory(path: Config.Path): void;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createDirectory.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createDirectory.js
new file mode 100644
index 000000000..c90aa0af4
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createDirectory.js
@@ -0,0 +1,76 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = createDirectory;
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function createDirectory(path) {
+  try {
+    fs().mkdirSync(path, {
+      recursive: true
+    });
+  } catch (e) {
+    if (e.code !== 'EEXIST') {
+      throw e;
+    }
+  }
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createProcessObject.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createProcessObject.d.ts
new file mode 100644
index 000000000..b4468602e
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createProcessObject.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+export default function (): NodeJS.Process;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createProcessObject.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createProcessObject.js
new file mode 100644
index 000000000..90de3553a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/createProcessObject.js
@@ -0,0 +1,134 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = _default;
+
+var _deepCyclicCopy = _interopRequireDefault(require('./deepCyclicCopy'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const BLACKLIST = new Set(['env', 'mainModule', '_events']);
+const isWin32 = process.platform === 'win32';
+const proto = Object.getPrototypeOf(process.env); // The "process.env" object has a bunch of particularities: first, it does not
+// directly extend from Object; second, it converts any assigned value to a
+// string; and third, it is case-insensitive in Windows. We use a proxy here to
+// mimic it (see https://nodejs.org/api/process.html#process_process_env).
+
+function createProcessEnv() {
+  const real = Object.create(proto);
+  const lookup = {};
+
+  function deletePropertyWin32(_target, key) {
+    for (const name in real) {
+      if (real.hasOwnProperty(name)) {
+        if (typeof key === 'string') {
+          if (name.toLowerCase() === key.toLowerCase()) {
+            delete real[name];
+            delete lookup[name.toLowerCase()];
+          }
+        } else {
+          if (key === name) {
+            delete real[name];
+            delete lookup[name];
+          }
+        }
+      }
+    }
+
+    return true;
+  }
+
+  function deleteProperty(_target, key) {
+    delete real[key];
+    delete lookup[key];
+    return true;
+  }
+
+  function getProperty(_target, key) {
+    return real[key];
+  }
+
+  function getPropertyWin32(_target, key) {
+    if (typeof key === 'string') {
+      return lookup[key in proto ? key : key.toLowerCase()];
+    } else {
+      return real[key];
+    }
+  }
+
+  const proxy = new Proxy(real, {
+    deleteProperty: isWin32 ? deletePropertyWin32 : deleteProperty,
+    get: isWin32 ? getPropertyWin32 : getProperty,
+
+    set(_target, key, value) {
+      const strValue = '' + value;
+
+      if (typeof key === 'string') {
+        lookup[key.toLowerCase()] = strValue;
+      }
+
+      real[key] = strValue;
+      return true;
+    }
+  });
+  return Object.assign(proxy, process.env);
+}
+
+function _default() {
+  const process = require('process');
+
+  const newProcess = (0, _deepCyclicCopy.default)(process, {
+    blacklist: BLACKLIST,
+    keepPrototype: true
+  });
+
+  try {
+    // This fails on Node 12, but it's already set to 'process'
+    newProcess[Symbol.toStringTag] = 'process';
+  } catch (e) {
+    // Make sure it's actually set instead of potentially ignoring errors
+    if (newProcess[Symbol.toStringTag] !== 'process') {
+      e.message =
+        'Unable to set toStringTag on process. Please open up an issue at https://github.com/facebook/jest\n\n' +
+        e.message;
+      throw e;
+    }
+  } // Sequentially execute all constructors over the object.
+
+  let proto = process;
+
+  while ((proto = Object.getPrototypeOf(proto))) {
+    if (typeof proto.constructor === 'function') {
+      proto.constructor.call(newProcess);
+    }
+  }
+
+  newProcess.env = createProcessEnv();
+
+  newProcess.send = () => {};
+
+  const domainPropertyDescriptor = Object.getOwnPropertyDescriptor(
+    newProcess,
+    'domain'
+  );
+
+  if (domainPropertyDescriptor && !domainPropertyDescriptor.enumerable) {
+    Object.defineProperty(newProcess, 'domain', {
+      get() {
+        return process.domain;
+      }
+    });
+  }
+
+  return newProcess;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/deepCyclicCopy.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/deepCyclicCopy.d.ts
new file mode 100644
index 000000000..f8bd716c5
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/deepCyclicCopy.d.ts
@@ -0,0 +1,11 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare type DeepCyclicCopyOptions = {
+    blacklist?: Set<string>;
+    keepPrototype?: boolean;
+};
+export default function deepCyclicCopy<T>(value: T, options?: DeepCyclicCopyOptions, cycles?: WeakMap<any, any>): T;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/deepCyclicCopy.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/deepCyclicCopy.js
new file mode 100644
index 000000000..e76e34bf2
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/deepCyclicCopy.js
@@ -0,0 +1,84 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = deepCyclicCopy;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const EMPTY = new Set();
+
+function deepCyclicCopy(
+  value,
+  options = {
+    blacklist: EMPTY,
+    keepPrototype: false
+  },
+  cycles = new WeakMap()
+) {
+  if (typeof value !== 'object' || value === null) {
+    return value;
+  } else if (cycles.has(value)) {
+    return cycles.get(value);
+  } else if (Array.isArray(value)) {
+    return deepCyclicCopyArray(value, options, cycles);
+  } else {
+    return deepCyclicCopyObject(value, options, cycles);
+  }
+}
+
+function deepCyclicCopyObject(object, options, cycles) {
+  const newObject = options.keepPrototype
+    ? Object.create(Object.getPrototypeOf(object))
+    : {};
+  const descriptors = Object.getOwnPropertyDescriptors(object);
+  cycles.set(object, newObject);
+  Object.keys(descriptors).forEach(key => {
+    if (options.blacklist && options.blacklist.has(key)) {
+      delete descriptors[key];
+      return;
+    }
+
+    const descriptor = descriptors[key];
+
+    if (typeof descriptor.value !== 'undefined') {
+      descriptor.value = deepCyclicCopy(
+        descriptor.value,
+        {
+          blacklist: EMPTY,
+          keepPrototype: options.keepPrototype
+        },
+        cycles
+      );
+    }
+
+    descriptor.configurable = true;
+  });
+  return Object.defineProperties(newObject, descriptors);
+}
+
+function deepCyclicCopyArray(array, options, cycles) {
+  const newArray = options.keepPrototype
+    ? new (Object.getPrototypeOf(array).constructor)(array.length)
+    : [];
+  const length = array.length;
+  cycles.set(array, newArray);
+
+  for (let i = 0; i < length; i++) {
+    newArray[i] = deepCyclicCopy(
+      array[i],
+      {
+        blacklist: EMPTY,
+        keepPrototype: options.keepPrototype
+      },
+      cycles
+    );
+  }
+
+  return newArray;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/formatTime.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/formatTime.d.ts
new file mode 100644
index 000000000..fc4cd8d75
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/formatTime.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function formatTime(time: number, prefixPower?: number, padLeftLength?: number): string;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/formatTime.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/formatTime.js
new file mode 100644
index 000000000..fad4b8cc2
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/formatTime.js
@@ -0,0 +1,24 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = formatTime;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function formatTime(time, prefixPower = -3, padLeftLength = 0) {
+  const prefixes = ['n', 'μ', 'm', ''];
+  const prefixIndex = Math.max(
+    0,
+    Math.min(
+      Math.trunc(prefixPower / 3) + prefixes.length - 1,
+      prefixes.length - 1
+    )
+  );
+  return `${String(time).padStart(padLeftLength)} ${prefixes[prefixIndex]}s`;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/globsToMatcher.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/globsToMatcher.d.ts
new file mode 100644
index 000000000..4e6cc5b10
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/globsToMatcher.d.ts
@@ -0,0 +1,25 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+/**
+ * Converts a list of globs into a function that matches a path against the
+ * globs.
+ *
+ * Every time micromatch is called, it will parse the glob strings and turn
+ * them into regexp instances. Instead of calling micromatch repeatedly with
+ * the same globs, we can use this function which will build the micromatch
+ * matchers ahead of time and then have an optimized path for determining
+ * whether an individual path matches.
+ *
+ * This function is intended to match the behavior of `micromatch()`.
+ *
+ * @example
+ * const isMatch = globsToMatcher(['*.js', '!*.test.js']);
+ * isMatch('pizza.js'); // true
+ * isMatch('pizza.test.js'); // false
+ */
+export default function globsToMatcher(globs: Array<Config.Glob>): (path: Config.Path) => boolean;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/globsToMatcher.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/globsToMatcher.js
new file mode 100644
index 000000000..e51776206
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/globsToMatcher.js
@@ -0,0 +1,109 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = globsToMatcher;
+
+function _micromatch() {
+  const data = _interopRequireDefault(require('micromatch'));
+
+  _micromatch = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _replacePathSepForGlob = _interopRequireDefault(
+  require('./replacePathSepForGlob')
+);
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const globsToMatchersMap = new Map();
+const micromatchOptions = {
+  dot: true
+};
+/**
+ * Converts a list of globs into a function that matches a path against the
+ * globs.
+ *
+ * Every time micromatch is called, it will parse the glob strings and turn
+ * them into regexp instances. Instead of calling micromatch repeatedly with
+ * the same globs, we can use this function which will build the micromatch
+ * matchers ahead of time and then have an optimized path for determining
+ * whether an individual path matches.
+ *
+ * This function is intended to match the behavior of `micromatch()`.
+ *
+ * @example
+ * const isMatch = globsToMatcher(['*.js', '!*.test.js']);
+ * isMatch('pizza.js'); // true
+ * isMatch('pizza.test.js'); // false
+ */
+
+function globsToMatcher(globs) {
+  if (globs.length === 0) {
+    // Since there were no globs given, we can simply have a fast path here and
+    // return with a very simple function.
+    return _ => false;
+  }
+
+  const matchers = globs.map(glob => {
+    if (!globsToMatchersMap.has(glob)) {
+      // Matchers that are negated have different behavior than matchers that
+      // are not negated, so we need to store this information ahead of time.
+      const {negated} = _micromatch().default.scan(glob, micromatchOptions);
+
+      const matcher = {
+        isMatch: _micromatch().default.matcher(glob, micromatchOptions),
+        negated
+      };
+      globsToMatchersMap.set(glob, matcher);
+    }
+
+    return globsToMatchersMap.get(glob);
+  });
+  return path => {
+    const replacedPath = (0, _replacePathSepForGlob.default)(path);
+    let kept = undefined;
+    let negatives = 0;
+
+    for (let i = 0; i < matchers.length; i++) {
+      const {isMatch, negated} = matchers[i];
+
+      if (negated) {
+        negatives++;
+      }
+
+      const matched = isMatch(replacedPath);
+
+      if (!matched && negated) {
+        // The path was not matched, and the matcher is a negated matcher, so we
+        // want to omit the path. This means that the negative matcher is
+        // filtering the path out.
+        kept = false;
+      } else if (matched && !negated) {
+        // The path was matched, and the matcher is not a negated matcher, so we
+        // want to keep the path.
+        kept = true;
+      }
+    } // If all of the globs were negative globs, then we want to include the path
+    // as long as it was not explicitly not kept. Otherwise only include
+    // the path if it was kept. This allows sets of globs that are all negated
+    // to allow some paths to be matched, while sets of globs that are mixed
+    // negated and non-negated to cause the negated matchers to only omit paths
+    // and not keep them.
+
+    return negatives === matchers.length ? kept !== false : !!kept;
+  };
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/index.d.ts
new file mode 100644
index 000000000..034e14f76
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/index.d.ts
@@ -0,0 +1,25 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export { default as clearLine } from './clearLine';
+export { default as createDirectory } from './createDirectory';
+export { default as ErrorWithStack } from './ErrorWithStack';
+export { default as installCommonGlobals } from './installCommonGlobals';
+export { default as interopRequireDefault } from './interopRequireDefault';
+export { default as isInteractive } from './isInteractive';
+export { default as isPromise } from './isPromise';
+export { default as setGlobal } from './setGlobal';
+export { default as deepCyclicCopy } from './deepCyclicCopy';
+export { default as convertDescriptorToString } from './convertDescriptorToString';
+import * as specialChars from './specialChars';
+export { default as replacePathSepForGlob } from './replacePathSepForGlob';
+export { default as testPathPatternToRegExp } from './testPathPatternToRegExp';
+export { default as globsToMatcher } from './globsToMatcher';
+import * as preRunMessage from './preRunMessage';
+export { default as pluralize } from './pluralize';
+export { default as formatTime } from './formatTime';
+export { default as tryRealpath } from './tryRealpath';
+export { preRunMessage, specialChars };
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/index.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/index.js
new file mode 100644
index 000000000..a6e9ffa0d
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/index.js
@@ -0,0 +1,198 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+Object.defineProperty(exports, 'clearLine', {
+  enumerable: true,
+  get: function () {
+    return _clearLine.default;
+  }
+});
+Object.defineProperty(exports, 'createDirectory', {
+  enumerable: true,
+  get: function () {
+    return _createDirectory.default;
+  }
+});
+Object.defineProperty(exports, 'ErrorWithStack', {
+  enumerable: true,
+  get: function () {
+    return _ErrorWithStack.default;
+  }
+});
+Object.defineProperty(exports, 'installCommonGlobals', {
+  enumerable: true,
+  get: function () {
+    return _installCommonGlobals.default;
+  }
+});
+Object.defineProperty(exports, 'interopRequireDefault', {
+  enumerable: true,
+  get: function () {
+    return _interopRequireDefault.default;
+  }
+});
+Object.defineProperty(exports, 'isInteractive', {
+  enumerable: true,
+  get: function () {
+    return _isInteractive.default;
+  }
+});
+Object.defineProperty(exports, 'isPromise', {
+  enumerable: true,
+  get: function () {
+    return _isPromise.default;
+  }
+});
+Object.defineProperty(exports, 'setGlobal', {
+  enumerable: true,
+  get: function () {
+    return _setGlobal.default;
+  }
+});
+Object.defineProperty(exports, 'deepCyclicCopy', {
+  enumerable: true,
+  get: function () {
+    return _deepCyclicCopy.default;
+  }
+});
+Object.defineProperty(exports, 'convertDescriptorToString', {
+  enumerable: true,
+  get: function () {
+    return _convertDescriptorToString.default;
+  }
+});
+Object.defineProperty(exports, 'replacePathSepForGlob', {
+  enumerable: true,
+  get: function () {
+    return _replacePathSepForGlob.default;
+  }
+});
+Object.defineProperty(exports, 'testPathPatternToRegExp', {
+  enumerable: true,
+  get: function () {
+    return _testPathPatternToRegExp.default;
+  }
+});
+Object.defineProperty(exports, 'globsToMatcher', {
+  enumerable: true,
+  get: function () {
+    return _globsToMatcher.default;
+  }
+});
+Object.defineProperty(exports, 'pluralize', {
+  enumerable: true,
+  get: function () {
+    return _pluralize.default;
+  }
+});
+Object.defineProperty(exports, 'formatTime', {
+  enumerable: true,
+  get: function () {
+    return _formatTime.default;
+  }
+});
+Object.defineProperty(exports, 'tryRealpath', {
+  enumerable: true,
+  get: function () {
+    return _tryRealpath.default;
+  }
+});
+exports.preRunMessage = exports.specialChars = void 0;
+
+var _clearLine = _interopRequireDefault2(require('./clearLine'));
+
+var _createDirectory = _interopRequireDefault2(require('./createDirectory'));
+
+var _ErrorWithStack = _interopRequireDefault2(require('./ErrorWithStack'));
+
+var _installCommonGlobals = _interopRequireDefault2(
+  require('./installCommonGlobals')
+);
+
+var _interopRequireDefault = _interopRequireDefault2(
+  require('./interopRequireDefault')
+);
+
+var _isInteractive = _interopRequireDefault2(require('./isInteractive'));
+
+var _isPromise = _interopRequireDefault2(require('./isPromise'));
+
+var _setGlobal = _interopRequireDefault2(require('./setGlobal'));
+
+var _deepCyclicCopy = _interopRequireDefault2(require('./deepCyclicCopy'));
+
+var _convertDescriptorToString = _interopRequireDefault2(
+  require('./convertDescriptorToString')
+);
+
+var specialChars = _interopRequireWildcard(require('./specialChars'));
+
+exports.specialChars = specialChars;
+
+var _replacePathSepForGlob = _interopRequireDefault2(
+  require('./replacePathSepForGlob')
+);
+
+var _testPathPatternToRegExp = _interopRequireDefault2(
+  require('./testPathPatternToRegExp')
+);
+
+var _globsToMatcher = _interopRequireDefault2(require('./globsToMatcher'));
+
+var preRunMessage = _interopRequireWildcard(require('./preRunMessage'));
+
+exports.preRunMessage = preRunMessage;
+
+var _pluralize = _interopRequireDefault2(require('./pluralize'));
+
+var _formatTime = _interopRequireDefault2(require('./formatTime'));
+
+var _tryRealpath = _interopRequireDefault2(require('./tryRealpath'));
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _interopRequireDefault2(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/installCommonGlobals.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/installCommonGlobals.d.ts
new file mode 100644
index 000000000..619619658
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/installCommonGlobals.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+import type { Config } from '@jest/types';
+export default function (globalObject: NodeJS.Global, globals: Config.ConfigGlobals): NodeJS.Global & Config.ConfigGlobals;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/installCommonGlobals.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/installCommonGlobals.js
new file mode 100644
index 000000000..1743b2306
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/installCommonGlobals.js
@@ -0,0 +1,127 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = _default;
+
+function fs() {
+  const data = _interopRequireWildcard(require('graceful-fs'));
+
+  fs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _createProcessObject = _interopRequireDefault(
+  require('./createProcessObject')
+);
+
+var _deepCyclicCopy = _interopRequireDefault(require('./deepCyclicCopy'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const DTRACE = Object.keys(global).filter(key => key.startsWith('DTRACE'));
+
+function _default(globalObject, globals) {
+  globalObject.process = (0, _createProcessObject.default)();
+  const symbol = globalObject.Symbol; // Keep a reference to some globals that Jest needs
+
+  Object.defineProperties(globalObject, {
+    [symbol.for('jest-native-promise')]: {
+      enumerable: false,
+      value: Promise,
+      writable: false
+    },
+    [symbol.for('jest-native-now')]: {
+      enumerable: false,
+      value: globalObject.Date.now.bind(globalObject.Date),
+      writable: false
+    },
+    [symbol.for('jest-native-read-file')]: {
+      enumerable: false,
+      value: fs().readFileSync.bind(fs()),
+      writable: false
+    },
+    [symbol.for('jest-native-write-file')]: {
+      enumerable: false,
+      value: fs().writeFileSync.bind(fs()),
+      writable: false
+    },
+    [symbol.for('jest-native-exists-file')]: {
+      enumerable: false,
+      value: fs().existsSync.bind(fs()),
+      writable: false
+    },
+    'jest-symbol-do-not-touch': {
+      enumerable: false,
+      value: symbol,
+      writable: false
+    }
+  }); // Forward some APIs.
+
+  DTRACE.forEach(dtrace => {
+    // @ts-expect-error: no index
+    globalObject[dtrace] = function (...args) {
+      // @ts-expect-error: no index
+      return global[dtrace].apply(this, args);
+    };
+  }); // Forward some others (this breaks the sandbox but for now it's OK).
+
+  globalObject.Buffer = global.Buffer;
+  globalObject.setImmediate = global.setImmediate;
+  globalObject.clearImmediate = global.clearImmediate;
+  return Object.assign(globalObject, (0, _deepCyclicCopy.default)(globals));
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/interopRequireDefault.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/interopRequireDefault.d.ts
new file mode 100644
index 000000000..91b66e4fc
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/interopRequireDefault.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function interopRequireDefault(obj: any): any;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/interopRequireDefault.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/interopRequireDefault.js
new file mode 100644
index 000000000..69f2ebaeb
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/interopRequireDefault.js
@@ -0,0 +1,22 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = interopRequireDefault;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// copied from https://github.com/babel/babel/blob/56044c7851d583d498f919e9546caddf8f80a72f/packages/babel-helpers/src/helpers.js#L558-L562
+// eslint-disable-next-line @typescript-eslint/explicit-module-boundary-types
+function interopRequireDefault(obj) {
+  return obj && obj.__esModule
+    ? obj
+    : {
+        default: obj
+      };
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isInteractive.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isInteractive.d.ts
new file mode 100644
index 000000000..57ddbf0a7
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isInteractive.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare const _default: boolean;
+export default _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isInteractive.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isInteractive.js
new file mode 100644
index 000000000..e2207611a
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isInteractive.js
@@ -0,0 +1,31 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _isCi() {
+  const data = _interopRequireDefault(require('is-ci'));
+
+  _isCi = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+var _default =
+  !!process.stdout.isTTY && process.env.TERM !== 'dumb' && !_isCi().default;
+
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isPromise.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isPromise.d.ts
new file mode 100644
index 000000000..ea8589b90
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isPromise.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+declare const isPromise: (candidate: unknown) => candidate is Promise<unknown>;
+export default isPromise;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isPromise.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isPromise.js
new file mode 100644
index 000000000..7158df850
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/isPromise.js
@@ -0,0 +1,20 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// capture global.Promise before it may potentially be overwritten
+const Promise = global.Promise; // see ES2015 spec 25.4.4.5, https://stackoverflow.com/a/38339199
+
+const isPromise = candidate => Promise.resolve(candidate) === candidate;
+
+var _default = isPromise;
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/pluralize.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/pluralize.d.ts
new file mode 100644
index 000000000..9be305792
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/pluralize.d.ts
@@ -0,0 +1,7 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export default function pluralize(word: string, count: number): string;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/pluralize.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/pluralize.js
new file mode 100644
index 000000000..55f533ee0
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/pluralize.js
@@ -0,0 +1,16 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = pluralize;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function pluralize(word, count) {
+  return `${count} ${word}${count === 1 ? '' : 's'}`;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/preRunMessage.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/preRunMessage.d.ts
new file mode 100644
index 000000000..55acad973
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/preRunMessage.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+export declare const print: (stream: NodeJS.WriteStream) => void;
+export declare const remove: (stream: NodeJS.WriteStream) => void;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/preRunMessage.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/preRunMessage.js
new file mode 100644
index 000000000..370460167
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/preRunMessage.js
@@ -0,0 +1,48 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.remove = exports.print = void 0;
+
+function _chalk() {
+  const data = _interopRequireDefault(require('chalk'));
+
+  _chalk = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _clearLine = _interopRequireDefault(require('./clearLine'));
+
+var _isInteractive = _interopRequireDefault(require('./isInteractive'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const print = stream => {
+  if (_isInteractive.default) {
+    stream.write(
+      _chalk().default.bold.dim('Determining test suites to run...')
+    );
+  }
+};
+
+exports.print = print;
+
+const remove = stream => {
+  if (_isInteractive.default) {
+    (0, _clearLine.default)(stream);
+  }
+};
+
+exports.remove = remove;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/replacePathSepForGlob.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/replacePathSepForGlob.d.ts
new file mode 100644
index 000000000..7f47d18bf
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/replacePathSepForGlob.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+export default function replacePathSepForGlob(path: Config.Path): Config.Glob;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/replacePathSepForGlob.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/replacePathSepForGlob.js
new file mode 100644
index 000000000..b7a1d0f90
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/replacePathSepForGlob.js
@@ -0,0 +1,16 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = replacePathSepForGlob;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function replacePathSepForGlob(path) {
+  return path.replace(/\\(?![{}()+?.^$])/g, '/');
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/setGlobal.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/setGlobal.d.ts
new file mode 100644
index 000000000..c8debef69
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/setGlobal.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/// <reference types="node" />
+declare const _default: (globalToMutate: NodeJS.Global | Window, key: string, value: unknown) => void;
+export default _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/setGlobal.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/setGlobal.js
new file mode 100644
index 000000000..f1638ee10
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/setGlobal.js
@@ -0,0 +1,19 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+var _default = (globalToMutate, key, value) => {
+  // @ts-expect-error: no index
+  globalToMutate[key] = value;
+};
+
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/specialChars.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/specialChars.d.ts
new file mode 100644
index 000000000..1a50d4954
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/specialChars.d.ts
@@ -0,0 +1,14 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+export declare const ARROW = " \u203A ";
+export declare const ICONS: {
+    failed: string;
+    pending: string;
+    success: string;
+    todo: string;
+};
+export declare const CLEAR: string;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/specialChars.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/specialChars.js
new file mode 100644
index 000000000..1f9ddcc4e
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/specialChars.js
@@ -0,0 +1,25 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.CLEAR = exports.ICONS = exports.ARROW = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const isWindows = process.platform === 'win32';
+const ARROW = ' \u203A ';
+exports.ARROW = ARROW;
+const ICONS = {
+  failed: isWindows ? '\u00D7' : '\u2715',
+  pending: '\u25CB',
+  success: isWindows ? '\u221A' : '\u2713',
+  todo: '\u270E'
+};
+exports.ICONS = ICONS;
+const CLEAR = isWindows ? '\x1B[2J\x1B[0f' : '\x1B[2J\x1B[3J\x1B[H';
+exports.CLEAR = CLEAR;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/testPathPatternToRegExp.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/testPathPatternToRegExp.d.ts
new file mode 100644
index 000000000..6cd3f81f6
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/testPathPatternToRegExp.d.ts
@@ -0,0 +1,9 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+declare const _default: (testPathPattern: Config.GlobalConfig['testPathPattern']) => RegExp;
+export default _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/testPathPatternToRegExp.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/testPathPatternToRegExp.js
new file mode 100644
index 000000000..29fd338c9
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/testPathPatternToRegExp.js
@@ -0,0 +1,19 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+// Because we serialize/deserialize globalConfig when we spawn workers,
+// we can't pass regular expression. Using this shared function on both sides
+// will ensure that we produce consistent regexp for testPathPattern.
+var _default = testPathPattern => new RegExp(testPathPattern, 'i');
+
+exports.default = _default;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/tryRealpath.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/tryRealpath.d.ts
new file mode 100644
index 000000000..cccdfa0e5
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/tryRealpath.d.ts
@@ -0,0 +1,8 @@
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+import type { Config } from '@jest/types';
+export default function tryRealpath(path: Config.Path): Config.Path;
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/build/tryRealpath.js b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/tryRealpath.js
new file mode 100644
index 000000000..445933861
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/build/tryRealpath.js
@@ -0,0 +1,34 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = tryRealpath;
+
+function _gracefulFs() {
+  const data = require('graceful-fs');
+
+  _gracefulFs = function () {
+    return data;
+  };
+
+  return data;
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+function tryRealpath(path) {
+  try {
+    path = _gracefulFs().realpathSync.native(path);
+  } catch (error) {
+    if (error.code !== 'ENOENT') {
+      throw error;
+    }
+  }
+
+  return path;
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-util/package.json b/node_modules/@jest/test-sequencer/node_modules/jest-util/package.json
new file mode 100644
index 000000000..623c7bf39
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-util/package.json
@@ -0,0 +1,66 @@
+{
+  "_args": [
+    [
+      "jest-util@26.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-util@26.1.0",
+  "_id": "jest-util@26.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-rNMOwFQevljfNGvbzNQAxdmXQ+NawW/J72dmddsK0E8vgxXCMtwQ/EH0BiWEIxh0hhMcTsxwAxINt7Lh46Uzbg==",
+  "_location": "/@jest/test-sequencer/jest-util",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-util@26.1.0",
+    "name": "jest-util",
+    "escapedName": "jest-util",
+    "rawSpec": "26.1.0",
+    "saveSpec": null,
+    "fetchSpec": "26.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/@jest/console",
+    "/@jest/test-sequencer/jest-haste-map"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-util/-/jest-util-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "@jest/types": "^26.1.0",
+    "chalk": "^4.0.0",
+    "graceful-fs": "^4.2.4",
+    "is-ci": "^2.0.0",
+    "micromatch": "^4.0.2"
+  },
+  "devDependencies": {
+    "@types/graceful-fs": "^4.1.2",
+    "@types/is-ci": "^2.0.0",
+    "@types/micromatch": "^4.0.0",
+    "@types/node": "*"
+  },
+  "engines": {
+    "node": ">= 10.14.2"
+  },
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-util",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-util"
+  },
+  "types": "build/index.d.ts",
+  "version": "26.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-worker/LICENSE b/node_modules/@jest/test-sequencer/node_modules/jest-worker/LICENSE
new file mode 100644
index 000000000..b96dcb048
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-worker/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/README.md b/node_modules/@jest/test-sequencer/node_modules/jest-worker/README.md
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/README.md
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/README.md
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/Farm.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/Farm.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/Farm.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/Farm.d.ts
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/Farm.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/Farm.js
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/Farm.js
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/Farm.js
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/WorkerPool.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/WorkerPool.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/WorkerPool.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/WorkerPool.d.ts
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/WorkerPool.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/WorkerPool.js
new file mode 100644
index 000000000..70fc3ed72
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/WorkerPool.js
@@ -0,0 +1,49 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+var _BaseWorkerPool = _interopRequireDefault(require('./base/BaseWorkerPool'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+/**
+ * Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+const canUseWorkerThreads = () => {
+  try {
+    require('worker_threads');
+
+    return true;
+  } catch {
+    return false;
+  }
+};
+
+class WorkerPool extends _BaseWorkerPool.default {
+  send(workerId, request, onStart, onEnd) {
+    this.getWorkerById(workerId).send(request, onStart, onEnd);
+  }
+
+  createWorker(workerOptions) {
+    let Worker;
+
+    if (this._options.enableWorkerThreads && canUseWorkerThreads()) {
+      Worker = require('./workers/NodeThreadsWorker').default;
+    } else {
+      Worker = require('./workers/ChildProcessWorker').default;
+    }
+
+    return new Worker(workerOptions);
+  }
+}
+
+var _default = WorkerPool;
+exports.default = _default;
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/base/BaseWorkerPool.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/base/BaseWorkerPool.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/base/BaseWorkerPool.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/base/BaseWorkerPool.d.ts
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/base/BaseWorkerPool.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/base/BaseWorkerPool.js
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/base/BaseWorkerPool.js
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/base/BaseWorkerPool.js
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/index.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/index.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/index.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/index.d.ts
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/index.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/index.js
new file mode 100644
index 000000000..2371b9fab
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/index.js
@@ -0,0 +1,164 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _os() {
+  const data = require('os');
+
+  _os = function () {
+    return data;
+  };
+
+  return data;
+}
+
+var _WorkerPool = _interopRequireDefault(require('./WorkerPool'));
+
+var _Farm = _interopRequireDefault(require('./Farm'));
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+function getExposedMethods(workerPath, options) {
+  let exposedMethods = options.exposedMethods; // If no methods list is given, try getting it by auto-requiring the module.
+
+  if (!exposedMethods) {
+    const module = require(workerPath);
+
+    exposedMethods = Object.keys(module).filter(
+      // @ts-expect-error: no index
+      name => typeof module[name] === 'function'
+    );
+
+    if (typeof module === 'function') {
+      exposedMethods = [...exposedMethods, 'default'];
+    }
+  }
+
+  return exposedMethods;
+}
+/**
+ * The Jest farm (publicly called "Worker") is a class that allows you to queue
+ * methods across multiple child processes, in order to parallelize work. This
+ * is done by providing an absolute path to a module that will be loaded on each
+ * of the child processes, and bridged to the main process.
+ *
+ * Bridged methods are specified by using the "exposedMethods" property of the
+ * "options" object. This is an array of strings, where each of them corresponds
+ * to the exported name in the loaded module.
+ *
+ * You can also control the amount of workers by using the "numWorkers" property
+ * of the "options" object, and the settings passed to fork the process through
+ * the "forkOptions" property. The amount of workers defaults to the amount of
+ * CPUS minus one.
+ *
+ * Queueing calls can be done in two ways:
+ *   - Standard method: calls will be redirected to the first available worker,
+ *     so they will get executed as soon as they can.
+ *
+ *   - Sticky method: if a "computeWorkerKey" method is provided within the
+ *     config, the resulting string of this method will be used as a key.
+ *     Every time this key is returned, it is guaranteed that your job will be
+ *     processed by the same worker. This is specially useful if your workers
+ *     are caching results.
+ */
+
+class JestWorker {
+  constructor(workerPath, options) {
+    _defineProperty(this, '_ending', void 0);
+
+    _defineProperty(this, '_farm', void 0);
+
+    _defineProperty(this, '_options', void 0);
+
+    _defineProperty(this, '_workerPool', void 0);
+
+    this._options = {...options};
+    this._ending = false;
+    const workerPoolOptions = {
+      enableWorkerThreads: this._options.enableWorkerThreads || false,
+      forkOptions: this._options.forkOptions || {},
+      maxRetries: this._options.maxRetries || 3,
+      numWorkers:
+        this._options.numWorkers || Math.max((0, _os().cpus)().length - 1, 1),
+      setupArgs: this._options.setupArgs || []
+    };
+
+    if (this._options.WorkerPool) {
+      // @ts-expect-error: constructor target any?
+      this._workerPool = new this._options.WorkerPool(
+        workerPath,
+        workerPoolOptions
+      );
+    } else {
+      this._workerPool = new _WorkerPool.default(workerPath, workerPoolOptions);
+    }
+
+    this._farm = new _Farm.default(
+      workerPoolOptions.numWorkers,
+      this._workerPool.send.bind(this._workerPool),
+      this._options.computeWorkerKey
+    );
+
+    this._bindExposedWorkerMethods(workerPath, this._options);
+  }
+
+  _bindExposedWorkerMethods(workerPath, options) {
+    getExposedMethods(workerPath, options).forEach(name => {
+      if (name.startsWith('_')) {
+        return;
+      }
+
+      if (this.constructor.prototype.hasOwnProperty(name)) {
+        throw new TypeError('Cannot define a method called ' + name);
+      } // @ts-expect-error: dynamic extension of the class instance is expected.
+
+      this[name] = this._callFunctionWithArgs.bind(this, name);
+    });
+  }
+
+  _callFunctionWithArgs(method, ...args) {
+    if (this._ending) {
+      throw new Error('Farm is ended, no more calls can be done to it');
+    }
+
+    return this._farm.doWork(method, ...args);
+  }
+
+  getStderr() {
+    return this._workerPool.getStderr();
+  }
+
+  getStdout() {
+    return this._workerPool.getStdout();
+  }
+
+  async end() {
+    if (this._ending) {
+      throw new Error('Farm is ended, no more calls can be done to it');
+    }
+
+    this._ending = true;
+    return this._workerPool.end();
+  }
+}
+
+exports.default = JestWorker;
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/types.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/types.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/types.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/types.d.ts
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/types.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/types.js
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/types.js
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/types.js
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/workers/ChildProcessWorker.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/ChildProcessWorker.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/workers/ChildProcessWorker.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/ChildProcessWorker.d.ts
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/ChildProcessWorker.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/ChildProcessWorker.js
new file mode 100644
index 000000000..a1018b397
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/ChildProcessWorker.js
@@ -0,0 +1,330 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function _child_process() {
+  const data = require('child_process');
+
+  _child_process = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _stream() {
+  const data = require('stream');
+
+  _stream = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _mergeStream() {
+  const data = _interopRequireDefault(require('merge-stream'));
+
+  _mergeStream = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _supportsColor() {
+  const data = require('supports-color');
+
+  _supportsColor = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _types() {
+  const data = require('../types');
+
+  _types = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+const SIGNAL_BASE_EXIT_CODE = 128;
+const SIGKILL_EXIT_CODE = SIGNAL_BASE_EXIT_CODE + 9;
+const SIGTERM_EXIT_CODE = SIGNAL_BASE_EXIT_CODE + 15; // How long to wait after SIGTERM before sending SIGKILL
+
+const SIGKILL_DELAY = 500;
+/**
+ * This class wraps the child process and provides a nice interface to
+ * communicate with. It takes care of:
+ *
+ *  - Re-spawning the process if it dies.
+ *  - Queues calls while the worker is busy.
+ *  - Re-sends the requests if the worker blew up.
+ *
+ * The reason for queueing them here (since childProcess.send also has an
+ * internal queue) is because the worker could be doing asynchronous work, and
+ * this would lead to the child process to read its receiving buffer and start a
+ * second call. By queueing calls here, we don't send the next call to the
+ * children until we receive the result of the previous one.
+ *
+ * As soon as a request starts to be processed by a worker, its "processed"
+ * field is changed to "true", so that other workers which might encounter the
+ * same call skip it.
+ */
+
+class ChildProcessWorker {
+  constructor(options) {
+    _defineProperty(this, '_child', void 0);
+
+    _defineProperty(this, '_options', void 0);
+
+    _defineProperty(this, '_request', void 0);
+
+    _defineProperty(this, '_retries', void 0);
+
+    _defineProperty(this, '_onProcessEnd', void 0);
+
+    _defineProperty(this, '_fakeStream', void 0);
+
+    _defineProperty(this, '_stdout', void 0);
+
+    _defineProperty(this, '_stderr', void 0);
+
+    _defineProperty(this, '_exitPromise', void 0);
+
+    _defineProperty(this, '_resolveExitPromise', void 0);
+
+    this._options = options;
+    this._request = null;
+    this._fakeStream = null;
+    this._stdout = null;
+    this._stderr = null;
+    this._exitPromise = new Promise(resolve => {
+      this._resolveExitPromise = resolve;
+    });
+    this.initialize();
+  }
+
+  initialize() {
+    const forceColor = _supportsColor().stdout
+      ? {
+          FORCE_COLOR: '1'
+        }
+      : {};
+    const child = (0, _child_process().fork)(
+      require.resolve('./processChild'),
+      [],
+      {
+        cwd: process.cwd(),
+        env: {
+          ...process.env,
+          JEST_WORKER_ID: String(this._options.workerId + 1),
+          // 0-indexed workerId, 1-indexed JEST_WORKER_ID
+          ...forceColor
+        },
+        // Suppress --debug / --inspect flags while preserving others (like --harmony).
+        execArgv: process.execArgv.filter(v => !/^--(debug|inspect)/.test(v)),
+        silent: true,
+        ...this._options.forkOptions
+      }
+    );
+
+    if (child.stdout) {
+      if (!this._stdout) {
+        // We need to add a permanent stream to the merged stream to prevent it
+        // from ending when the subprocess stream ends
+        this._stdout = (0, _mergeStream().default)(this._getFakeStream());
+      }
+
+      this._stdout.add(child.stdout);
+    }
+
+    if (child.stderr) {
+      if (!this._stderr) {
+        // We need to add a permanent stream to the merged stream to prevent it
+        // from ending when the subprocess stream ends
+        this._stderr = (0, _mergeStream().default)(this._getFakeStream());
+      }
+
+      this._stderr.add(child.stderr);
+    }
+
+    child.on('message', this._onMessage.bind(this));
+    child.on('exit', this._onExit.bind(this));
+    child.send([
+      _types().CHILD_MESSAGE_INITIALIZE,
+      false,
+      this._options.workerPath,
+      this._options.setupArgs
+    ]);
+    this._child = child;
+    this._retries++; // If we exceeded the amount of retries, we will emulate an error reply
+    // coming from the child. This avoids code duplication related with cleaning
+    // the queue, and scheduling the next call.
+
+    if (this._retries > this._options.maxRetries) {
+      const error = new Error('Call retries were exceeded');
+
+      this._onMessage([
+        _types().PARENT_MESSAGE_CLIENT_ERROR,
+        error.name,
+        error.message,
+        error.stack,
+        {
+          type: 'WorkerError'
+        }
+      ]);
+    }
+  }
+
+  _shutdown() {
+    // End the temporary streams so the merged streams end too
+    if (this._fakeStream) {
+      this._fakeStream.end();
+
+      this._fakeStream = null;
+    }
+
+    this._resolveExitPromise();
+  }
+
+  _onMessage(response) {
+    let error;
+
+    switch (response[0]) {
+      case _types().PARENT_MESSAGE_OK:
+        this._onProcessEnd(null, response[1]);
+
+        break;
+
+      case _types().PARENT_MESSAGE_CLIENT_ERROR:
+        error = response[4];
+
+        if (error != null && typeof error === 'object') {
+          const extra = error; // @ts-expect-error: no index
+
+          const NativeCtor = global[response[1]];
+          const Ctor = typeof NativeCtor === 'function' ? NativeCtor : Error;
+          error = new Ctor(response[2]);
+          error.type = response[1];
+          error.stack = response[3];
+
+          for (const key in extra) {
+            // @ts-expect-error: adding custom properties to errors.
+            error[key] = extra[key];
+          }
+        }
+
+        this._onProcessEnd(error, null);
+
+        break;
+
+      case _types().PARENT_MESSAGE_SETUP_ERROR:
+        error = new Error('Error when calling setup: ' + response[2]); // @ts-expect-error: adding custom properties to errors.
+
+        error.type = response[1];
+        error.stack = response[3];
+
+        this._onProcessEnd(error, null);
+
+        break;
+
+      default:
+        throw new TypeError('Unexpected response from worker: ' + response[0]);
+    }
+  }
+
+  _onExit(exitCode) {
+    if (
+      exitCode !== 0 &&
+      exitCode !== SIGTERM_EXIT_CODE &&
+      exitCode !== SIGKILL_EXIT_CODE
+    ) {
+      this.initialize();
+
+      if (this._request) {
+        this._child.send(this._request);
+      }
+    } else {
+      this._shutdown();
+    }
+  }
+
+  send(request, onProcessStart, onProcessEnd) {
+    onProcessStart(this);
+
+    this._onProcessEnd = (...args) => {
+      // Clean the request to avoid sending past requests to workers that fail
+      // while waiting for a new request (timers, unhandled rejections...)
+      this._request = null;
+      return onProcessEnd(...args);
+    };
+
+    this._request = request;
+    this._retries = 0;
+
+    this._child.send(request);
+  }
+
+  waitForExit() {
+    return this._exitPromise;
+  }
+
+  forceExit() {
+    this._child.kill('SIGTERM');
+
+    const sigkillTimeout = setTimeout(
+      () => this._child.kill('SIGKILL'),
+      SIGKILL_DELAY
+    );
+
+    this._exitPromise.then(() => clearTimeout(sigkillTimeout));
+  }
+
+  getWorkerId() {
+    return this._options.workerId;
+  }
+
+  getStdout() {
+    return this._stdout;
+  }
+
+  getStderr() {
+    return this._stderr;
+  }
+
+  _getFakeStream() {
+    if (!this._fakeStream) {
+      this._fakeStream = new (_stream().PassThrough)();
+    }
+
+    return this._fakeStream;
+  }
+}
+
+exports.default = ChildProcessWorker;
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/workers/NodeThreadsWorker.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/NodeThreadsWorker.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/workers/NodeThreadsWorker.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/NodeThreadsWorker.d.ts
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/NodeThreadsWorker.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/NodeThreadsWorker.js
new file mode 100644
index 000000000..819ff1805
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/NodeThreadsWorker.js
@@ -0,0 +1,341 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', {
+  value: true
+});
+exports.default = void 0;
+
+function path() {
+  const data = _interopRequireWildcard(require('path'));
+
+  path = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _stream() {
+  const data = require('stream');
+
+  _stream = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _worker_threads() {
+  const data = require('worker_threads');
+
+  _worker_threads = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _mergeStream() {
+  const data = _interopRequireDefault(require('merge-stream'));
+
+  _mergeStream = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _types() {
+  const data = require('../types');
+
+  _types = function () {
+    return data;
+  };
+
+  return data;
+}
+
+function _interopRequireDefault(obj) {
+  return obj && obj.__esModule ? obj : {default: obj};
+}
+
+function _getRequireWildcardCache() {
+  if (typeof WeakMap !== 'function') return null;
+  var cache = new WeakMap();
+  _getRequireWildcardCache = function () {
+    return cache;
+  };
+  return cache;
+}
+
+function _interopRequireWildcard(obj) {
+  if (obj && obj.__esModule) {
+    return obj;
+  }
+  if (obj === null || (typeof obj !== 'object' && typeof obj !== 'function')) {
+    return {default: obj};
+  }
+  var cache = _getRequireWildcardCache();
+  if (cache && cache.has(obj)) {
+    return cache.get(obj);
+  }
+  var newObj = {};
+  var hasPropertyDescriptor =
+    Object.defineProperty && Object.getOwnPropertyDescriptor;
+  for (var key in obj) {
+    if (Object.prototype.hasOwnProperty.call(obj, key)) {
+      var desc = hasPropertyDescriptor
+        ? Object.getOwnPropertyDescriptor(obj, key)
+        : null;
+      if (desc && (desc.get || desc.set)) {
+        Object.defineProperty(newObj, key, desc);
+      } else {
+        newObj[key] = obj[key];
+      }
+    }
+  }
+  newObj.default = obj;
+  if (cache) {
+    cache.set(obj, newObj);
+  }
+  return newObj;
+}
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+  return obj;
+}
+
+class ExperimentalWorker {
+  constructor(options) {
+    _defineProperty(this, '_worker', void 0);
+
+    _defineProperty(this, '_options', void 0);
+
+    _defineProperty(this, '_request', void 0);
+
+    _defineProperty(this, '_retries', void 0);
+
+    _defineProperty(this, '_onProcessEnd', void 0);
+
+    _defineProperty(this, '_fakeStream', void 0);
+
+    _defineProperty(this, '_stdout', void 0);
+
+    _defineProperty(this, '_stderr', void 0);
+
+    _defineProperty(this, '_exitPromise', void 0);
+
+    _defineProperty(this, '_resolveExitPromise', void 0);
+
+    _defineProperty(this, '_forceExited', void 0);
+
+    this._options = options;
+    this._request = null;
+    this._fakeStream = null;
+    this._stdout = null;
+    this._stderr = null;
+    this._exitPromise = new Promise(resolve => {
+      this._resolveExitPromise = resolve;
+    });
+    this._forceExited = false;
+    this.initialize();
+  }
+
+  initialize() {
+    this._worker = new (_worker_threads().Worker)(
+      path().resolve(__dirname, './threadChild.js'),
+      {
+        eval: false,
+        stderr: true,
+        stdout: true,
+        workerData: {
+          cwd: process.cwd(),
+          env: {
+            ...process.env,
+            JEST_WORKER_ID: String(this._options.workerId + 1) // 0-indexed workerId, 1-indexed JEST_WORKER_ID
+          },
+          // Suppress --debug / --inspect flags while preserving others (like --harmony).
+          execArgv: process.execArgv.filter(v => !/^--(debug|inspect)/.test(v)),
+          silent: true,
+          ...this._options.forkOptions
+        }
+      }
+    );
+
+    if (this._worker.stdout) {
+      if (!this._stdout) {
+        // We need to add a permanent stream to the merged stream to prevent it
+        // from ending when the subprocess stream ends
+        this._stdout = (0, _mergeStream().default)(this._getFakeStream());
+      }
+
+      this._stdout.add(this._worker.stdout);
+    }
+
+    if (this._worker.stderr) {
+      if (!this._stderr) {
+        // We need to add a permanent stream to the merged stream to prevent it
+        // from ending when the subprocess stream ends
+        this._stderr = (0, _mergeStream().default)(this._getFakeStream());
+      }
+
+      this._stderr.add(this._worker.stderr);
+    }
+
+    this._worker.on('message', this._onMessage.bind(this));
+
+    this._worker.on('exit', this._onExit.bind(this));
+
+    this._worker.postMessage([
+      _types().CHILD_MESSAGE_INITIALIZE,
+      false,
+      this._options.workerPath,
+      this._options.setupArgs
+    ]);
+
+    this._retries++; // If we exceeded the amount of retries, we will emulate an error reply
+    // coming from the child. This avoids code duplication related with cleaning
+    // the queue, and scheduling the next call.
+
+    if (this._retries > this._options.maxRetries) {
+      const error = new Error('Call retries were exceeded');
+
+      this._onMessage([
+        _types().PARENT_MESSAGE_CLIENT_ERROR,
+        error.name,
+        error.message,
+        error.stack,
+        {
+          type: 'WorkerError'
+        }
+      ]);
+    }
+  }
+
+  _shutdown() {
+    // End the permanent stream so the merged stream end too
+    if (this._fakeStream) {
+      this._fakeStream.end();
+
+      this._fakeStream = null;
+    }
+
+    this._resolveExitPromise();
+  }
+
+  _onMessage(response) {
+    let error;
+
+    switch (response[0]) {
+      case _types().PARENT_MESSAGE_OK:
+        this._onProcessEnd(null, response[1]);
+
+        break;
+
+      case _types().PARENT_MESSAGE_CLIENT_ERROR:
+        error = response[4];
+
+        if (error != null && typeof error === 'object') {
+          const extra = error; // @ts-expect-error: no index
+
+          const NativeCtor = global[response[1]];
+          const Ctor = typeof NativeCtor === 'function' ? NativeCtor : Error;
+          error = new Ctor(response[2]);
+          error.type = response[1];
+          error.stack = response[3];
+
+          for (const key in extra) {
+            // @ts-expect-error: no index
+            error[key] = extra[key];
+          }
+        }
+
+        this._onProcessEnd(error, null);
+
+        break;
+
+      case _types().PARENT_MESSAGE_SETUP_ERROR:
+        error = new Error('Error when calling setup: ' + response[2]); // @ts-expect-error: adding custom properties to errors.
+
+        error.type = response[1];
+        error.stack = response[3];
+
+        this._onProcessEnd(error, null);
+
+        break;
+
+      default:
+        throw new TypeError('Unexpected response from worker: ' + response[0]);
+    }
+  }
+
+  _onExit(exitCode) {
+    if (exitCode !== 0 && !this._forceExited) {
+      this.initialize();
+
+      if (this._request) {
+        this._worker.postMessage(this._request);
+      }
+    } else {
+      this._shutdown();
+    }
+  }
+
+  waitForExit() {
+    return this._exitPromise;
+  }
+
+  forceExit() {
+    this._forceExited = true;
+
+    this._worker.terminate();
+  }
+
+  send(request, onProcessStart, onProcessEnd) {
+    onProcessStart(this);
+
+    this._onProcessEnd = (...args) => {
+      // Clean the request to avoid sending past requests to workers that fail
+      // while waiting for a new request (timers, unhandled rejections...)
+      this._request = null;
+      return onProcessEnd(...args);
+    };
+
+    this._request = request;
+    this._retries = 0;
+
+    this._worker.postMessage(request);
+  }
+
+  getWorkerId() {
+    return this._options.workerId;
+  }
+
+  getStdout() {
+    return this._stdout;
+  }
+
+  getStderr() {
+    return this._stderr;
+  }
+
+  _getFakeStream() {
+    if (!this._fakeStream) {
+      this._fakeStream = new (_stream().PassThrough)();
+    }
+
+    return this._fakeStream;
+  }
+}
+
+exports.default = ExperimentalWorker;
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/workers/processChild.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/processChild.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/workers/processChild.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/processChild.d.ts
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/workers/processChild.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/processChild.js
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/workers/processChild.js
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/processChild.js
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/workers/threadChild.d.ts b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/threadChild.d.ts
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/workers/threadChild.d.ts
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/threadChild.d.ts
diff --git a/node_modules/@jest/reporters/node_modules/jest-worker/build/workers/threadChild.js b/node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/threadChild.js
similarity index 100%
rename from node_modules/@jest/reporters/node_modules/jest-worker/build/workers/threadChild.js
rename to node_modules/@jest/test-sequencer/node_modules/jest-worker/build/workers/threadChild.js
diff --git a/node_modules/@jest/test-sequencer/node_modules/jest-worker/package.json b/node_modules/@jest/test-sequencer/node_modules/jest-worker/package.json
new file mode 100644
index 000000000..4f5c76486
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/jest-worker/package.json
@@ -0,0 +1,64 @@
+{
+  "_args": [
+    [
+      "jest-worker@26.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "jest-worker@26.1.0",
+  "_id": "jest-worker@26.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-Z9P5pZ6UC+kakMbNJn+tA2RdVdNX5WH1x+5UCBZ9MxIK24pjYtFt96fK+UwBTrjLYm232g1xz0L3eTh51OW+yQ==",
+  "_location": "/@jest/test-sequencer/jest-worker",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "jest-worker@26.1.0",
+    "name": "jest-worker",
+    "escapedName": "jest-worker",
+    "rawSpec": "26.1.0",
+    "saveSpec": null,
+    "fetchSpec": "26.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/jest-haste-map"
+  ],
+  "_resolved": "https://registry.npmjs.org/jest-worker/-/jest-worker-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/facebook/jest/issues"
+  },
+  "dependencies": {
+    "merge-stream": "^2.0.0",
+    "supports-color": "^7.0.0"
+  },
+  "description": "Module for executing heavy tasks under forked processes in parallel, by providing a `Promise` based interface, minimum overhead, and bound workers.",
+  "devDependencies": {
+    "@types/merge-stream": "^1.1.2",
+    "@types/node": "*",
+    "@types/supports-color": "^5.3.0",
+    "get-stream": "^5.1.0",
+    "worker-farm": "^1.6.0"
+  },
+  "engines": {
+    "node": ">= 10.14.2"
+  },
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
+  "homepage": "https://github.com/facebook/jest#readme",
+  "license": "MIT",
+  "main": "build/index.js",
+  "name": "jest-worker",
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/facebook/jest.git",
+    "directory": "packages/jest-worker"
+  },
+  "types": "build/index.d.ts",
+  "version": "26.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/normalize-path/LICENSE b/node_modules/@jest/test-sequencer/node_modules/normalize-path/LICENSE
new file mode 100644
index 000000000..d32ab4426
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/normalize-path/LICENSE
@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2014-2018, Jon Schlinkert.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/normalize-path/README.md b/node_modules/@jest/test-sequencer/node_modules/normalize-path/README.md
new file mode 100644
index 000000000..726d4d689
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/normalize-path/README.md
@@ -0,0 +1,127 @@
+# normalize-path [![NPM version](https://img.shields.io/npm/v/normalize-path.svg?style=flat)](https://www.npmjs.com/package/normalize-path) [![NPM monthly downloads](https://img.shields.io/npm/dm/normalize-path.svg?style=flat)](https://npmjs.org/package/normalize-path) [![NPM total downloads](https://img.shields.io/npm/dt/normalize-path.svg?style=flat)](https://npmjs.org/package/normalize-path) [![Linux Build Status](https://img.shields.io/travis/jonschlinkert/normalize-path.svg?style=flat&label=Travis)](https://travis-ci.org/jonschlinkert/normalize-path)
+
+> Normalize slashes in a file path to be posix/unix-like forward slashes. Also condenses repeat slashes to a single slash and removes and trailing slashes, unless disabled.
+
+Please consider following this project's author, [Jon Schlinkert](https://github.com/jonschlinkert), and consider starring the project to show your :heart: and support.
+
+## Install
+
+Install with [npm](https://www.npmjs.com/):
+
+```sh
+$ npm install --save normalize-path
+```
+
+## Usage
+
+```js
+const normalize = require('normalize-path');
+
+console.log(normalize('\\foo\\bar\\baz\\')); 
+//=> '/foo/bar/baz'
+```
+
+**win32 namespaces**
+
+```js
+console.log(normalize('\\\\?\\UNC\\Server01\\user\\docs\\Letter.txt')); 
+//=> '//?/UNC/Server01/user/docs/Letter.txt'
+
+console.log(normalize('\\\\.\\CdRomX')); 
+//=> '//./CdRomX'
+```
+
+**Consecutive slashes**
+
+Condenses multiple consecutive forward slashes (except for leading slashes in win32 namespaces) to a single slash.
+
+```js
+console.log(normalize('.//foo//bar///////baz/')); 
+//=> './foo/bar/baz'
+```
+
+### Trailing slashes
+
+By default trailing slashes are removed. Pass `false` as the last argument to disable this behavior and _**keep** trailing slashes_:
+
+```js
+console.log(normalize('foo\\bar\\baz\\', false)); //=> 'foo/bar/baz/'
+console.log(normalize('./foo/bar/baz/', false)); //=> './foo/bar/baz/'
+```
+
+## Release history
+
+### v3.0
+
+No breaking changes in this release.
+
+* a check was added to ensure that [win32 namespaces](https://msdn.microsoft.com/library/windows/desktop/aa365247(v=vs.85).aspx#namespaces) are handled properly by win32 `path.parse()` after a path has been normalized by this library.
+* a minor optimization was made to simplify how the trailing separator was handled
+
+## About
+
+<details>
+<summary><strong>Contributing</strong></summary>
+
+Pull requests and stars are always welcome. For bugs and feature requests, [please create an issue](../../issues/new).
+
+</details>
+
+<details>
+<summary><strong>Running Tests</strong></summary>
+
+Running and reviewing unit tests is a great way to get familiarized with a library and its API. You can install dependencies and run tests with the following command:
+
+```sh
+$ npm install && npm test
+```
+
+</details>
+
+<details>
+<summary><strong>Building docs</strong></summary>
+
+_(This project's readme.md is generated by [verb](https://github.com/verbose/verb-generate-readme), please don't edit the readme directly. Any changes to the readme must be made in the [.verb.md](.verb.md) readme template.)_
+
+To generate the readme, run the following command:
+
+```sh
+$ npm install -g verbose/verb#dev verb-generate-readme && verb
+```
+
+</details>
+
+### Related projects
+
+Other useful path-related libraries:
+
+* [contains-path](https://www.npmjs.com/package/contains-path): Return true if a file path contains the given path. | [homepage](https://github.com/jonschlinkert/contains-path "Return true if a file path contains the given path.")
+* [is-absolute](https://www.npmjs.com/package/is-absolute): Returns true if a file path is absolute. Does not rely on the path module… [more](https://github.com/jonschlinkert/is-absolute) | [homepage](https://github.com/jonschlinkert/is-absolute "Returns true if a file path is absolute. Does not rely on the path module and can be used as a polyfill for node.js native `path.isAbolute`.")
+* [is-relative](https://www.npmjs.com/package/is-relative): Returns `true` if the path appears to be relative. | [homepage](https://github.com/jonschlinkert/is-relative "Returns `true` if the path appears to be relative.")
+* [parse-filepath](https://www.npmjs.com/package/parse-filepath): Pollyfill for node.js `path.parse`, parses a filepath into an object. | [homepage](https://github.com/jonschlinkert/parse-filepath "Pollyfill for node.js `path.parse`, parses a filepath into an object.")
+* [path-ends-with](https://www.npmjs.com/package/path-ends-with): Return `true` if a file path ends with the given string/suffix. | [homepage](https://github.com/jonschlinkert/path-ends-with "Return `true` if a file path ends with the given string/suffix.")
+* [unixify](https://www.npmjs.com/package/unixify): Convert Windows file paths to unix paths. | [homepage](https://github.com/jonschlinkert/unixify "Convert Windows file paths to unix paths.")
+
+### Contributors
+
+| **Commits** | **Contributor** | 
+| --- | --- |
+| 35 | [jonschlinkert](https://github.com/jonschlinkert) |
+| 1 | [phated](https://github.com/phated) |
+
+### Author
+
+**Jon Schlinkert**
+
+* [LinkedIn Profile](https://linkedin.com/in/jonschlinkert)
+* [GitHub Profile](https://github.com/jonschlinkert)
+* [Twitter Profile](https://twitter.com/jonschlinkert)
+
+### License
+
+Copyright © 2018, [Jon Schlinkert](https://github.com/jonschlinkert).
+Released under the [MIT License](LICENSE).
+
+***
+
+_This file was generated by [verb-generate-readme](https://github.com/verbose/verb-generate-readme), v0.6.0, on April 19, 2018._
\ No newline at end of file
diff --git a/node_modules/@jest/test-sequencer/node_modules/normalize-path/index.js b/node_modules/@jest/test-sequencer/node_modules/normalize-path/index.js
new file mode 100644
index 000000000..6fac553a3
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/normalize-path/index.js
@@ -0,0 +1,35 @@
+/*!
+ * normalize-path <https://github.com/jonschlinkert/normalize-path>
+ *
+ * Copyright (c) 2014-2018, Jon Schlinkert.
+ * Released under the MIT License.
+ */
+
+module.exports = function(path, stripTrailing) {
+  if (typeof path !== 'string') {
+    throw new TypeError('expected path to be a string');
+  }
+
+  if (path === '\\' || path === '/') return '/';
+
+  var len = path.length;
+  if (len <= 1) return path;
+
+  // ensure that win32 namespaces has two leading slashes, so that the path is
+  // handled properly by the win32 version of path.parse() after being normalized
+  // https://msdn.microsoft.com/library/windows/desktop/aa365247(v=vs.85).aspx#namespaces
+  var prefix = '';
+  if (len > 4 && path[3] === '\\') {
+    var ch = path[2];
+    if ((ch === '?' || ch === '.') && path.slice(0, 2) === '\\\\') {
+      path = path.slice(2);
+      prefix = '//';
+    }
+  }
+
+  var segs = path.split(/[/\\]+/);
+  if (stripTrailing !== false && segs[segs.length - 1] === '') {
+    segs.pop();
+  }
+  return prefix + segs.join('/');
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/normalize-path/package.json b/node_modules/@jest/test-sequencer/node_modules/normalize-path/package.json
new file mode 100644
index 000000000..64359e8ef
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/normalize-path/package.json
@@ -0,0 +1,118 @@
+{
+  "_args": [
+    [
+      "normalize-path@3.0.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "normalize-path@3.0.0",
+  "_id": "normalize-path@3.0.0",
+  "_inBundle": false,
+  "_integrity": "sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA==",
+  "_location": "/@jest/test-sequencer/normalize-path",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "normalize-path@3.0.0",
+    "name": "normalize-path",
+    "escapedName": "normalize-path",
+    "rawSpec": "3.0.0",
+    "saveSpec": null,
+    "fetchSpec": "3.0.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/anymatch"
+  ],
+  "_resolved": "https://registry.npmjs.org/normalize-path/-/normalize-path-3.0.0.tgz",
+  "_spec": "3.0.0",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Jon Schlinkert",
+    "url": "https://github.com/jonschlinkert"
+  },
+  "bugs": {
+    "url": "https://github.com/jonschlinkert/normalize-path/issues"
+  },
+  "contributors": [
+    {
+      "name": "Blaine Bublitz",
+      "url": "https://twitter.com/BlaineBublitz"
+    },
+    {
+      "name": "Jon Schlinkert",
+      "url": "http://twitter.com/jonschlinkert"
+    }
+  ],
+  "description": "Normalize slashes in a file path to be posix/unix-like forward slashes. Also condenses repeat slashes to a single slash and removes and trailing slashes, unless disabled.",
+  "devDependencies": {
+    "gulp-format-md": "^1.0.0",
+    "minimist": "^1.2.0",
+    "mocha": "^3.5.3"
+  },
+  "engines": {
+    "node": ">=0.10.0"
+  },
+  "files": [
+    "index.js"
+  ],
+  "homepage": "https://github.com/jonschlinkert/normalize-path",
+  "keywords": [
+    "absolute",
+    "backslash",
+    "delimiter",
+    "file",
+    "file-path",
+    "filepath",
+    "fix",
+    "forward",
+    "fp",
+    "fs",
+    "normalize",
+    "path",
+    "relative",
+    "separator",
+    "slash",
+    "slashes",
+    "trailing",
+    "unix",
+    "urix"
+  ],
+  "license": "MIT",
+  "main": "index.js",
+  "name": "normalize-path",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/jonschlinkert/normalize-path.git"
+  },
+  "scripts": {
+    "test": "mocha"
+  },
+  "verb": {
+    "toc": false,
+    "layout": "default",
+    "tasks": [
+      "readme"
+    ],
+    "plugins": [
+      "gulp-format-md"
+    ],
+    "related": {
+      "description": "Other useful path-related libraries:",
+      "list": [
+        "contains-path",
+        "is-absolute",
+        "is-relative",
+        "parse-filepath",
+        "path-ends-with",
+        "path-ends-with",
+        "unixify"
+      ]
+    },
+    "lint": {
+      "reflinks": true
+    }
+  },
+  "version": "3.0.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/stack-utils/index.js b/node_modules/@jest/test-sequencer/node_modules/stack-utils/index.js
new file mode 100644
index 000000000..c0f6acfc4
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/stack-utils/index.js
@@ -0,0 +1,334 @@
+'use strict';
+
+const escapeStringRegexp = require('escape-string-regexp');
+
+const natives = [].concat(
+  require('module').builtinModules,
+  'bootstrap_node',
+  'node',
+).map(n => new RegExp(`(?:\\(${n}\\.js:\\d+:\\d+\\)$|^\\s*at ${n}\\.js:\\d+:\\d+$)`));
+
+natives.push(
+  /\(internal\/[^:]+:\d+:\d+\)$/,
+  /\s*at internal\/[^:]+:\d+:\d+$/,
+  /\/\.node-spawn-wrap-\w+-\w+\/node:\d+:\d+\)?$/
+);
+
+class StackUtils {
+  constructor (opts) {
+    opts = {
+      ignoredPackages: [],
+      ...opts
+    };
+
+    if ('internals' in opts === false) {
+      opts.internals = StackUtils.nodeInternals();
+    }
+
+    if ('cwd' in opts === false) {
+      opts.cwd = process.cwd()
+    }
+
+    this._cwd = opts.cwd.replace(/\\/g, '/');
+    this._internals = [].concat(
+      opts.internals,
+      ignoredPackagesRegExp(opts.ignoredPackages)
+    );
+
+    this._wrapCallSite = opts.wrapCallSite || false;
+  }
+
+  static nodeInternals () {
+    return [...natives];
+  }
+
+  clean (stack, indent = 0) {
+    indent = ' '.repeat(indent);
+
+    if (!Array.isArray(stack)) {
+      stack = stack.split('\n');
+    }
+
+    if (!(/^\s*at /.test(stack[0])) && (/^\s*at /.test(stack[1]))) {
+      stack = stack.slice(1);
+    }
+
+    let outdent = false;
+    let lastNonAtLine = null;
+    const result = [];
+
+    stack.forEach(st => {
+      st = st.replace(/\\/g, '/');
+
+      if (this._internals.some(internal => internal.test(st))) {
+        return;
+      }
+
+      const isAtLine = /^\s*at /.test(st);
+
+      if (outdent) {
+        st = st.trimEnd().replace(/^(\s+)at /, '$1');
+      } else {
+        st = st.trim();
+        if (isAtLine) {
+          st = st.slice(3);
+        }
+      }
+
+      st = st.replace(`${this._cwd}/`, '');
+
+      if (st) {
+        if (isAtLine) {
+          if (lastNonAtLine) {
+            result.push(lastNonAtLine);
+            lastNonAtLine = null;
+          }
+
+          result.push(st);
+        } else {
+          outdent = true;
+          lastNonAtLine = st;
+        }
+      }
+    });
+
+    return result.map(line => `${indent}${line}\n`).join('');
+  }
+
+  captureString (limit, fn = this.captureString) {
+    if (typeof limit === 'function') {
+      fn = limit;
+      limit = Infinity;
+    }
+
+    const {stackTraceLimit} = Error;
+    if (limit) {
+      Error.stackTraceLimit = limit;
+    }
+
+    const obj = {};
+
+    Error.captureStackTrace(obj, fn);
+    const {stack} = obj;
+    Error.stackTraceLimit = stackTraceLimit;
+
+    return this.clean(stack);
+  }
+
+  capture (limit, fn = this.capture) {
+    if (typeof limit === 'function') {
+      fn = limit;
+      limit = Infinity;
+    }
+
+    const {prepareStackTrace, stackTraceLimit} = Error;
+    Error.prepareStackTrace = (obj, site) => {
+      if (this._wrapCallSite) {
+        return site.map(this._wrapCallSite);
+      }
+
+      return site;
+    };
+
+    if (limit) {
+      Error.stackTraceLimit = limit;
+    }
+
+    const obj = {};
+    Error.captureStackTrace(obj, fn);
+    const { stack } = obj;
+    Object.assign(Error, {prepareStackTrace, stackTraceLimit});
+
+    return stack;
+  }
+
+  at (fn = this.at) {
+    const [site] = this.capture(1, fn);
+
+    if (!site) {
+      return {};
+    }
+
+    const res = {
+      line: site.getLineNumber(),
+      column: site.getColumnNumber()
+    };
+
+    setFile(res, site.getFileName(), this._cwd);
+
+    if (site.isConstructor()) {
+      res.constructor = true;
+    }
+
+    if (site.isEval()) {
+      res.evalOrigin = site.getEvalOrigin();
+    }
+
+    // Node v10 stopped with the isNative() on callsites, apparently
+    /* istanbul ignore next */
+    if (site.isNative()) {
+      res.native = true;
+    }
+
+    let typename;
+    try {
+      typename = site.getTypeName();
+    } catch (_) {
+    }
+
+    if (typename && typename !== 'Object' && typename !== '[object Object]') {
+      res.type = typename;
+    }
+
+    const fname = site.getFunctionName();
+    if (fname) {
+      res.function = fname;
+    }
+
+    const meth = site.getMethodName();
+    if (meth && fname !== meth) {
+      res.method = meth;
+    }
+
+    return res;
+  }
+
+  parseLine (line) {
+    const match = line && line.match(re);
+    if (!match) {
+      return null;
+    }
+
+    const ctor = match[1] === 'new';
+    let fname = match[2];
+    const evalOrigin = match[3];
+    const evalFile = match[4];
+    const evalLine = Number(match[5]);
+    const evalCol = Number(match[6]);
+    let file = match[7];
+    const lnum = match[8];
+    const col = match[9];
+    const native = match[10] === 'native';
+    const closeParen = match[11] === ')';
+    let method;
+
+    const res = {};
+
+    if (lnum) {
+      res.line = Number(lnum);
+    }
+
+    if (col) {
+      res.column = Number(col);
+    }
+
+    if (closeParen && file) {
+      // make sure parens are balanced
+      // if we have a file like "asdf) [as foo] (xyz.js", then odds are
+      // that the fname should be += " (asdf) [as foo]" and the file
+      // should be just "xyz.js"
+      // walk backwards from the end to find the last unbalanced (
+      let closes = 0;
+      for (let i = file.length - 1; i > 0; i--) {
+        if (file.charAt(i) === ')') {
+          closes++;
+        } else if (file.charAt(i) === '(' && file.charAt(i - 1) === ' ') {
+          closes--;
+          if (closes === -1 && file.charAt(i - 1) === ' ') {
+            const before = file.slice(0, i - 1);
+            const after = file.slice(i + 1);
+            file = after;
+            fname += ` (${before}`;
+            break;
+          }
+        }
+      }
+    }
+
+    if (fname) {
+      const methodMatch = fname.match(methodRe);
+      if (methodMatch) {
+        fname = methodMatch[1];
+        method = methodMatch[2];
+      }
+    }
+
+    setFile(res, file, this._cwd);
+
+    if (ctor) {
+      res.constructor = true;
+    }
+
+    if (evalOrigin) {
+      res.evalOrigin = evalOrigin;
+      res.evalLine = evalLine;
+      res.evalColumn = evalCol;
+      res.evalFile = evalFile && evalFile.replace(/\\/g, '/');
+    }
+
+    if (native) {
+      res.native = true;
+    }
+
+    if (fname) {
+      res.function = fname;
+    }
+
+    if (method && fname !== method) {
+      res.method = method;
+    }
+
+    return res;
+  }
+}
+
+function setFile (result, filename, cwd) {
+  if (filename) {
+    filename = filename.replace(/\\/g, '/');
+    if (filename.startsWith(`${cwd}/`)) {
+      filename = filename.slice(cwd.length + 1);
+    }
+
+    result.file = filename;
+  }
+}
+
+function ignoredPackagesRegExp(ignoredPackages) {
+  if (ignoredPackages.length === 0) {
+    return [];
+  }
+
+  const packages = ignoredPackages.map(mod => escapeStringRegexp(mod));
+
+  return new RegExp(`[\/\\\\]node_modules[\/\\\\](?:${packages.join('|')})[\/\\\\][^:]+:\\d+:\\d+`)
+}
+
+const re = new RegExp(
+  '^' +
+    // Sometimes we strip out the '    at' because it's noisy
+  '(?:\\s*at )?' +
+    // $1 = ctor if 'new'
+  '(?:(new) )?' +
+    // $2 = function name (can be literally anything)
+    // May contain method at the end as [as xyz]
+  '(?:(.*?) \\()?' +
+    // (eval at <anonymous> (file.js:1:1),
+    // $3 = eval origin
+    // $4:$5:$6 are eval file/line/col, but not normally reported
+  '(?:eval at ([^ ]+) \\((.+?):(\\d+):(\\d+)\\), )?' +
+    // file:line:col
+    // $7:$8:$9
+    // $10 = 'native' if native
+  '(?:(.+?):(\\d+):(\\d+)|(native))' +
+    // maybe close the paren, then end
+    // if $11 is ), then we only allow balanced parens in the filename
+    // any imbalance is placed on the fname.  This is a heuristic, and
+    // bound to be incorrect in some edge cases.  The bet is that
+    // having weird characters in method names is more common than
+    // having weird characters in filenames, which seems reasonable.
+  '(\\)?)$'
+);
+
+const methodRe = /^(.*?) \[as (.*?)\]$/;
+
+module.exports = StackUtils;
diff --git a/node_modules/@jest/test-sequencer/node_modules/stack-utils/license b/node_modules/@jest/test-sequencer/node_modules/stack-utils/license
new file mode 100644
index 000000000..28441ca9f
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/stack-utils/license
@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) Isaac Z. Schlueter <i@izs.me>, James Talmage <james@talmage.io> (github.com/jamestalmage), and Contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/stack-utils/package.json b/node_modules/@jest/test-sequencer/node_modules/stack-utils/package.json
new file mode 100644
index 000000000..5048625ee
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/stack-utils/package.json
@@ -0,0 +1,71 @@
+{
+  "_args": [
+    [
+      "stack-utils@2.0.2",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "stack-utils@2.0.2",
+  "_id": "stack-utils@2.0.2",
+  "_inBundle": false,
+  "_integrity": "sha512-0H7QK2ECz3fyZMzQ8rH0j2ykpfbnd20BFtfg/SqVC2+sCTtcw0aDTGB7dk+de4U4uUeuz6nOtJcrkFFLG1B0Rg==",
+  "_location": "/@jest/test-sequencer/stack-utils",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "stack-utils@2.0.2",
+    "name": "stack-utils",
+    "escapedName": "stack-utils",
+    "rawSpec": "2.0.2",
+    "saveSpec": null,
+    "fetchSpec": "2.0.2"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/jest-message-util"
+  ],
+  "_resolved": "https://registry.npmjs.org/stack-utils/-/stack-utils-2.0.2.tgz",
+  "_spec": "2.0.2",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "James Talmage",
+    "email": "james@talmage.io",
+    "url": "github.com/jamestalmage"
+  },
+  "bugs": {
+    "url": "https://github.com/tapjs/stack-utils/issues"
+  },
+  "dependencies": {
+    "escape-string-regexp": "^2.0.0"
+  },
+  "description": "Captures and cleans stack traces",
+  "devDependencies": {
+    "bluebird": "^3.7.2",
+    "coveralls": "^3.0.9",
+    "nested-error-stacks": "^2.1.0",
+    "pify": "^4.0.1",
+    "q": "^1.5.1",
+    "tap": "=14.10.2-unbundled"
+  },
+  "engines": {
+    "node": ">=10"
+  },
+  "files": [
+    "index.js"
+  ],
+  "homepage": "https://github.com/tapjs/stack-utils#readme",
+  "license": "MIT",
+  "name": "stack-utils",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/tapjs/stack-utils.git"
+  },
+  "scripts": {
+    "postversion": "npm publish",
+    "prepublishOnly": "git push origin --follow-tags",
+    "preversion": "npm test",
+    "test": "tap --no-esm --100"
+  },
+  "version": "2.0.2"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/stack-utils/readme.md b/node_modules/@jest/test-sequencer/node_modules/stack-utils/readme.md
new file mode 100644
index 000000000..c91f9d053
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/stack-utils/readme.md
@@ -0,0 +1,143 @@
+# stack-utils 
+
+> Captures and cleans stack traces.
+
+[![Linux Build](https://travis-ci.org/tapjs/stack-utils.svg?branch=master)](https://travis-ci.org/tapjs/stack-utils) [![Build status](https://ci.appveyor.com/api/projects/status/fb9i157knoixe3iq/branch/master?svg=true)](https://ci.appveyor.com/project/jamestalmage/stack-utils-oiw96/branch/master)  [![Coverage](https://coveralls.io/repos/tapjs/stack-utils/badge.svg?branch=master&service=github)](https://coveralls.io/github/tapjs/stack-utils?branch=master)
+
+
+Extracted from `lib/stack.js` in the [`node-tap` project](https://github.com/tapjs/node-tap)
+
+## Install
+
+```
+$ npm install --save stack-utils
+```
+
+
+## Usage
+
+```js
+const StackUtils = require('stack-utils');
+const stack = new StackUtils({cwd: process.cwd(), internals: StackUtils.nodeInternals()});
+
+console.log(stack.clean(new Error().stack));
+// outputs a beautified stack trace
+```
+
+
+## API
+
+
+### new StackUtils([options])
+
+Creates a new `stackUtils` instance.
+
+#### options
+
+##### internals
+
+Type: `array` of `RegularExpression`s  
+
+A set of regular expressions that match internal stack stack trace lines which should be culled from the stack trace.
+The default is `StackUtils.nodeInternals()`, this can be disabled by setting `[]` or appended using
+`StackUtils.nodeInternals().concat(additionalRegExp)`.  See also `ignoredPackages`.
+
+##### ignoredPackages
+
+Type: `array` of `string`s
+
+An array of npm modules to be culled from the stack trace.  This list will mapped to regular
+expressions and merged with the `internals`.
+
+Default `''`.
+
+##### cwd
+
+Type: `string`
+
+The path to the current working directory. File names in the stack trace will be shown relative to this directory.
+
+##### wrapCallSite
+
+Type: `function(CallSite)`
+
+A mapping function for manipulating CallSites before processing. The first argument is a CallSite instance, and the function should return a modified CallSite. This is useful for providing source map support.
+
+
+### StackUtils.nodeInternals()
+
+Returns an array of regular expressions that be used to cull lines from the stack trace that reference common Node.js internal files.
+
+
+### stackUtils.clean(stack, indent = 0)
+
+Cleans up a stack trace by deleting any lines that match the `internals` passed to the constructor, and shortening file names relative to `cwd`.
+
+Returns a `string` with the cleaned up stack (always terminated with a `\n` newline character).
+Spaces at the start of each line are trimmed, indentation can be added by setting `indent` to the desired number of spaces.
+
+#### stack
+
+*Required*  
+Type: `string` or an `array` of `string`s
+
+
+### stackUtils.capture([limit], [startStackFunction])
+
+Captures the current stack trace, returning an array of `CallSite`s. There are good overviews of the available CallSite methods [here](https://github.com/v8/v8/wiki/Stack%20Trace%20API#customizing-stack-traces), and [here](https://github.com/sindresorhus/callsites#api).
+
+#### limit
+
+Type: `number`
+Default: `Infinity`
+
+Limits the number of lines returned by dropping all lines in excess of the limit. This removes lines from the stack trace.
+
+#### startStackFunction
+
+Type: `function`
+
+The function where the stack trace should start. The first line of the stack trace will be the function that called `startStackFunction`. This removes lines from the end of the stack trace.
+
+
+### stackUtils.captureString([limit], [startStackFunction])
+
+Captures the current stack trace, cleans it using `stackUtils.clean(stack)`, and returns a string with the cleaned stack trace. It takes the same arguments as `stackUtils.capture`.
+
+
+### stackUtils.at([startStackFunction])
+
+Captures the first line of the stack trace (or the first line after `startStackFunction` if supplied), and returns a `CallSite` like object that is serialization friendly (properties are actual values instead of getter functions). 
+
+The available properties are:
+
+ - `line`: `number` 
+ - `column`: `number`
+ - `file`: `string`
+ - `constructor`: `boolean`
+ - `evalOrigin`: `string`
+ - `native`: `boolean`
+ - `type`: `string`
+ - `function`: `string`
+ - `method`: `string`
+
+### stackUtils.parseLine(line)
+
+Parses a `string` (which should be a single line from a stack trace), and generates an object with the following properties:
+
+ - `line`: `number` 
+ - `column`: `number`
+ - `file`: `string`
+ - `constructor`: `boolean`
+ - `evalOrigin`: `string`
+ - `evalLine`: `number`
+ - `evalColumn`: `number`
+ - `evalFile`: `string`
+ - `native`: `boolean`
+ - `function`: `string`
+ - `method`: `string`
+
+
+## License
+
+MIT © [Isaac Z. Schlueter](http://github.com/isaacs), [James Talmage](http://github.com/jamestalmage)
diff --git a/node_modules/@jest/test-sequencer/node_modules/supports-color/browser.js b/node_modules/@jest/test-sequencer/node_modules/supports-color/browser.js
new file mode 100644
index 000000000..62afa3a74
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/supports-color/browser.js
@@ -0,0 +1,5 @@
+'use strict';
+module.exports = {
+	stdout: false,
+	stderr: false
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/supports-color/index.js b/node_modules/@jest/test-sequencer/node_modules/supports-color/index.js
new file mode 100644
index 000000000..dcaa45412
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/supports-color/index.js
@@ -0,0 +1,139 @@
+'use strict';
+const os = require('os');
+const tty = require('tty');
+const hasFlag = require('has-flag');
+
+const {env} = process;
+
+let forceColor;
+if (hasFlag('no-color') ||
+	hasFlag('no-colors') ||
+	hasFlag('color=false') ||
+	hasFlag('color=never')) {
+	forceColor = 0;
+} else if (hasFlag('color') ||
+	hasFlag('colors') ||
+	hasFlag('color=true') ||
+	hasFlag('color=always')) {
+	forceColor = 1;
+}
+
+if ('FORCE_COLOR' in env) {
+	if (env.FORCE_COLOR === 'true') {
+		forceColor = 1;
+	} else if (env.FORCE_COLOR === 'false') {
+		forceColor = 0;
+	} else {
+		forceColor = env.FORCE_COLOR.length === 0 ? 1 : Math.min(parseInt(env.FORCE_COLOR, 10), 3);
+	}
+}
+
+function translateLevel(level) {
+	if (level === 0) {
+		return false;
+	}
+
+	return {
+		level,
+		hasBasic: true,
+		has256: level >= 2,
+		has16m: level >= 3
+	};
+}
+
+function supportsColor(haveStream, streamIsTTY) {
+	if (forceColor === 0) {
+		return 0;
+	}
+
+	if (hasFlag('color=16m') ||
+		hasFlag('color=full') ||
+		hasFlag('color=truecolor')) {
+		return 3;
+	}
+
+	if (hasFlag('color=256')) {
+		return 2;
+	}
+
+	if (haveStream && !streamIsTTY && forceColor === undefined) {
+		return 0;
+	}
+
+	const min = forceColor || 0;
+
+	if (env.TERM === 'dumb') {
+		return min;
+	}
+
+	if (process.platform === 'win32') {
+		// Windows 10 build 10586 is the first Windows release that supports 256 colors.
+		// Windows 10 build 14931 is the first release that supports 16m/TrueColor.
+		const osRelease = os.release().split('.');
+		if (
+			Number(osRelease[0]) >= 10 &&
+			Number(osRelease[2]) >= 10586
+		) {
+			return Number(osRelease[2]) >= 14931 ? 3 : 2;
+		}
+
+		return 1;
+	}
+
+	if ('CI' in env) {
+		if (['TRAVIS', 'CIRCLECI', 'APPVEYOR', 'GITLAB_CI'].some(sign => sign in env) || env.CI_NAME === 'codeship') {
+			return 1;
+		}
+
+		return min;
+	}
+
+	if ('TEAMCITY_VERSION' in env) {
+		return /^(9\.(0*[1-9]\d*)\.|\d{2,}\.)/.test(env.TEAMCITY_VERSION) ? 1 : 0;
+	}
+
+	if ('GITHUB_ACTIONS' in env) {
+		return 1;
+	}
+
+	if (env.COLORTERM === 'truecolor') {
+		return 3;
+	}
+
+	if ('TERM_PROGRAM' in env) {
+		const version = parseInt((env.TERM_PROGRAM_VERSION || '').split('.')[0], 10);
+
+		switch (env.TERM_PROGRAM) {
+			case 'iTerm.app':
+				return version >= 3 ? 3 : 2;
+			case 'Apple_Terminal':
+				return 2;
+			// No default
+		}
+	}
+
+	if (/-256(color)?$/i.test(env.TERM)) {
+		return 2;
+	}
+
+	if (/^screen|^xterm|^vt100|^vt220|^rxvt|color|ansi|cygwin|linux/i.test(env.TERM)) {
+		return 1;
+	}
+
+	if ('COLORTERM' in env) {
+		return 1;
+	}
+
+	return min;
+}
+
+function getSupportLevel(stream) {
+	const level = supportsColor(stream, stream && stream.isTTY);
+	return translateLevel(level);
+}
+
+module.exports = {
+	supportsColor: getSupportLevel,
+	stdout: translateLevel(supportsColor(true, tty.isatty(1))),
+	stderr: translateLevel(supportsColor(true, tty.isatty(2)))
+};
diff --git a/node_modules/@jest/test-sequencer/node_modules/supports-color/license b/node_modules/@jest/test-sequencer/node_modules/supports-color/license
new file mode 100644
index 000000000..e7af2f771
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/supports-color/license
@@ -0,0 +1,9 @@
+MIT License
+
+Copyright (c) Sindre Sorhus <sindresorhus@gmail.com> (sindresorhus.com)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/supports-color/package.json b/node_modules/@jest/test-sequencer/node_modules/supports-color/package.json
new file mode 100644
index 000000000..4ae40eca4
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/supports-color/package.json
@@ -0,0 +1,90 @@
+{
+  "_args": [
+    [
+      "supports-color@7.1.0",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "supports-color@7.1.0",
+  "_id": "supports-color@7.1.0",
+  "_inBundle": false,
+  "_integrity": "sha512-oRSIpR8pxT1Wr2FquTNnGet79b3BWljqOuoW/h4oBhxJ/HUbX5nX6JSruTkvXDCFMwDPvsaTTbvMLKZWSy0R5g==",
+  "_location": "/@jest/test-sequencer/supports-color",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "supports-color@7.1.0",
+    "name": "supports-color",
+    "escapedName": "supports-color",
+    "rawSpec": "7.1.0",
+    "saveSpec": null,
+    "fetchSpec": "7.1.0"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/chalk",
+    "/@jest/test-sequencer/jest-worker"
+  ],
+  "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
+  "_spec": "7.1.0",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Sindre Sorhus",
+    "email": "sindresorhus@gmail.com",
+    "url": "sindresorhus.com"
+  },
+  "browser": "browser.js",
+  "bugs": {
+    "url": "https://github.com/chalk/supports-color/issues"
+  },
+  "dependencies": {
+    "has-flag": "^4.0.0"
+  },
+  "description": "Detect whether a terminal supports color",
+  "devDependencies": {
+    "ava": "^1.4.1",
+    "import-fresh": "^3.0.0",
+    "xo": "^0.24.0"
+  },
+  "engines": {
+    "node": ">=8"
+  },
+  "files": [
+    "index.js",
+    "browser.js"
+  ],
+  "homepage": "https://github.com/chalk/supports-color#readme",
+  "keywords": [
+    "color",
+    "colour",
+    "colors",
+    "terminal",
+    "console",
+    "cli",
+    "ansi",
+    "styles",
+    "tty",
+    "rgb",
+    "256",
+    "shell",
+    "xterm",
+    "command-line",
+    "support",
+    "supports",
+    "capability",
+    "detect",
+    "truecolor",
+    "16m"
+  ],
+  "license": "MIT",
+  "name": "supports-color",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/chalk/supports-color.git"
+  },
+  "scripts": {
+    "test": "xo && ava"
+  },
+  "version": "7.1.0"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/supports-color/readme.md b/node_modules/@jest/test-sequencer/node_modules/supports-color/readme.md
new file mode 100644
index 000000000..365422858
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/supports-color/readme.md
@@ -0,0 +1,76 @@
+# supports-color [![Build Status](https://travis-ci.org/chalk/supports-color.svg?branch=master)](https://travis-ci.org/chalk/supports-color)
+
+> Detect whether a terminal supports color
+
+
+## Install
+
+```
+$ npm install supports-color
+```
+
+
+## Usage
+
+```js
+const supportsColor = require('supports-color');
+
+if (supportsColor.stdout) {
+	console.log('Terminal stdout supports color');
+}
+
+if (supportsColor.stdout.has256) {
+	console.log('Terminal stdout supports 256 colors');
+}
+
+if (supportsColor.stderr.has16m) {
+	console.log('Terminal stderr supports 16 million colors (truecolor)');
+}
+```
+
+
+## API
+
+Returns an `Object` with a `stdout` and `stderr` property for testing either streams. Each property is an `Object`, or `false` if color is not supported.
+
+The `stdout`/`stderr` objects specifies a level of support for color through a `.level` property and a corresponding flag:
+
+- `.level = 1` and `.hasBasic = true`: Basic color support (16 colors)
+- `.level = 2` and `.has256 = true`: 256 color support
+- `.level = 3` and `.has16m = true`: Truecolor support (16 million colors)
+
+
+## Info
+
+It obeys the `--color` and `--no-color` CLI flags.
+
+For situations where using `--color` is not possible, use the environment variable `FORCE_COLOR=1` (level 1), `FORCE_COLOR=2` (level 2), or `FORCE_COLOR=3` (level 3) to forcefully enable color, or `FORCE_COLOR=0` to forcefully disable. The use of `FORCE_COLOR` overrides all other color support checks.
+
+Explicit 256/Truecolor mode can be enabled using the `--color=256` and `--color=16m` flags, respectively.
+
+
+## Related
+
+- [supports-color-cli](https://github.com/chalk/supports-color-cli) - CLI for this module
+- [chalk](https://github.com/chalk/chalk) - Terminal string styling done right
+
+
+## Maintainers
+
+- [Sindre Sorhus](https://github.com/sindresorhus)
+- [Josh Junon](https://github.com/qix-)
+
+
+---
+
+<div align="center">
+	<b>
+		<a href="https://tidelift.com/subscription/pkg/npm-supports-color?utm_source=npm-supports-color&utm_medium=referral&utm_campaign=readme">Get professional support for this package with a Tidelift subscription</a>
+	</b>
+	<br>
+	<sub>
+		Tidelift helps make open source sustainable for maintainers while giving companies<br>assurances about security, maintenance, and licensing for their dependencies.
+	</sub>
+</div>
+
+---
diff --git a/node_modules/@jest/test-sequencer/node_modules/which/CHANGELOG.md b/node_modules/@jest/test-sequencer/node_modules/which/CHANGELOG.md
new file mode 100644
index 000000000..7fb1f2033
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/which/CHANGELOG.md
@@ -0,0 +1,166 @@
+# Changes
+
+
+## 2.0.2
+
+* Rename bin to `node-which`
+
+## 2.0.1
+
+* generate changelog and publish on version bump
+* enforce 100% test coverage
+* Promise interface
+
+## 2.0.0
+
+* Parallel tests, modern JavaScript, and drop support for node < 8
+
+## 1.3.1
+
+* update deps
+* update travis
+
+## v1.3.0
+
+* Add nothrow option to which.sync
+* update tap
+
+## v1.2.14
+
+* appveyor: drop node 5 and 0.x
+* travis-ci: add node 6, drop 0.x
+
+## v1.2.13
+
+* test: Pass missing option to pass on windows
+* update tap
+* update isexe to 2.0.0
+* neveragain.tech pledge request
+
+## v1.2.12
+
+* Removed unused require
+
+## v1.2.11
+
+* Prevent changelog script from being included in package
+
+## v1.2.10
+
+* Use env.PATH only, not env.Path
+
+## v1.2.9
+
+* fix for paths starting with ../
+* Remove unused `is-absolute` module
+
+## v1.2.8
+
+* bullet items in changelog that contain (but don't start with) #
+
+## v1.2.7
+
+* strip 'update changelog' changelog entries out of changelog
+
+## v1.2.6
+
+* make the changelog bulleted
+
+## v1.2.5
+
+* make a changelog, and keep it up to date
+* don't include tests in package
+* Properly handle relative-path executables
+* appveyor
+* Attach error code to Not Found error
+* Make tests pass on Windows
+
+## v1.2.4
+
+* Fix typo
+
+## v1.2.3
+
+* update isexe, fix regression in pathExt handling
+
+## v1.2.2
+
+* update deps, use isexe module, test windows
+
+## v1.2.1
+
+* Sometimes windows PATH entries are quoted
+* Fixed a bug in the check for group and user mode bits. This bug was introduced during refactoring for supporting strict mode.
+* doc cli
+
+## v1.2.0
+
+* Add support for opt.all and -as cli flags
+* test the bin
+* update travis
+* Allow checking for multiple programs in bin/which
+* tap 2
+
+## v1.1.2
+
+* travis
+* Refactored and fixed undefined error on Windows
+* Support strict mode
+
+## v1.1.1
+
+* test +g exes against secondary groups, if available
+* Use windows exe semantics on cygwin & msys
+* cwd should be first in path on win32, not last
+* Handle lower-case 'env.Path' on Windows
+* Update docs
+* use single-quotes
+
+## v1.1.0
+
+* Add tests, depend on is-absolute
+
+## v1.0.9
+
+* which.js: root is allowed to execute files owned by anyone
+
+## v1.0.8
+
+* don't use graceful-fs
+
+## v1.0.7
+
+* add license to package.json
+
+## v1.0.6
+
+* isc license
+
+## 1.0.5
+
+* Awful typo
+
+## 1.0.4
+
+* Test for path absoluteness properly
+* win: Allow '' as a pathext if cmd has a . in it
+
+## 1.0.3
+
+* Remove references to execPath
+* Make `which.sync()` work on Windows by honoring the PATHEXT variable.
+* Make `isExe()` always return true on Windows.
+* MIT
+
+## 1.0.2
+
+* Only files can be exes
+
+## 1.0.1
+
+* Respect the PATHEXT env for win32 support
+* should 0755 the bin
+* binary
+* guts
+* package
+* 1st
diff --git a/node_modules/@jest/test-sequencer/node_modules/which/LICENSE b/node_modules/@jest/test-sequencer/node_modules/which/LICENSE
new file mode 100644
index 000000000..19129e315
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/which/LICENSE
@@ -0,0 +1,15 @@
+The ISC License
+
+Copyright (c) Isaac Z. Schlueter and Contributors
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted, provided that the above
+copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
+WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
+MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
+ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
+IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
diff --git a/node_modules/@jest/test-sequencer/node_modules/which/README.md b/node_modules/@jest/test-sequencer/node_modules/which/README.md
new file mode 100644
index 000000000..cd833509f
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/which/README.md
@@ -0,0 +1,54 @@
+# which
+
+Like the unix `which` utility.
+
+Finds the first instance of a specified executable in the PATH
+environment variable.  Does not cache the results, so `hash -r` is not
+needed when the PATH changes.
+
+## USAGE
+
+```javascript
+var which = require('which')
+
+// async usage
+which('node', function (er, resolvedPath) {
+  // er is returned if no "node" is found on the PATH
+  // if it is found, then the absolute path to the exec is returned
+})
+
+// or promise
+which('node').then(resolvedPath => { ... }).catch(er => { ... not found ... })
+
+// sync usage
+// throws if not found
+var resolved = which.sync('node')
+
+// if nothrow option is used, returns null if not found
+resolved = which.sync('node', {nothrow: true})
+
+// Pass options to override the PATH and PATHEXT environment vars.
+which('node', { path: someOtherPath }, function (er, resolved) {
+  if (er)
+    throw er
+  console.log('found at %j', resolved)
+})
+```
+
+## CLI USAGE
+
+Same as the BSD `which(1)` binary.
+
+```
+usage: which [-as] program ...
+```
+
+## OPTIONS
+
+You may pass an options object as the second argument.
+
+- `path`: Use instead of the `PATH` environment variable.
+- `pathExt`: Use instead of the `PATHEXT` environment variable.
+- `all`: Return all matches, instead of just the first one.  Note that
+  this means the function returns an array of strings instead of a
+  single string.
diff --git a/node_modules/@jest/test-sequencer/node_modules/which/bin/node-which b/node_modules/@jest/test-sequencer/node_modules/which/bin/node-which
new file mode 100755
index 000000000..7cee3729e
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/which/bin/node-which
@@ -0,0 +1,52 @@
+#!/usr/bin/env node
+var which = require("../")
+if (process.argv.length < 3)
+  usage()
+
+function usage () {
+  console.error('usage: which [-as] program ...')
+  process.exit(1)
+}
+
+var all = false
+var silent = false
+var dashdash = false
+var args = process.argv.slice(2).filter(function (arg) {
+  if (dashdash || !/^-/.test(arg))
+    return true
+
+  if (arg === '--') {
+    dashdash = true
+    return false
+  }
+
+  var flags = arg.substr(1).split('')
+  for (var f = 0; f < flags.length; f++) {
+    var flag = flags[f]
+    switch (flag) {
+      case 's':
+        silent = true
+        break
+      case 'a':
+        all = true
+        break
+      default:
+        console.error('which: illegal option -- ' + flag)
+        usage()
+    }
+  }
+  return false
+})
+
+process.exit(args.reduce(function (pv, current) {
+  try {
+    var f = which.sync(current, { all: all })
+    if (all)
+      f = f.join('\n')
+    if (!silent)
+      console.log(f)
+    return pv;
+  } catch (e) {
+    return 1;
+  }
+}, 0))
diff --git a/node_modules/@jest/test-sequencer/node_modules/which/package.json b/node_modules/@jest/test-sequencer/node_modules/which/package.json
new file mode 100644
index 000000000..635f5c064
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/which/package.json
@@ -0,0 +1,80 @@
+{
+  "_args": [
+    [
+      "which@2.0.2",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "which@2.0.2",
+  "_id": "which@2.0.2",
+  "_inBundle": false,
+  "_integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
+  "_location": "/@jest/test-sequencer/which",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "which@2.0.2",
+    "name": "which",
+    "escapedName": "which",
+    "rawSpec": "2.0.2",
+    "saveSpec": null,
+    "fetchSpec": "2.0.2"
+  },
+  "_requiredBy": [
+    "/@jest/test-sequencer/jest-haste-map"
+  ],
+  "_resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
+  "_spec": "2.0.2",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Isaac Z. Schlueter",
+    "email": "i@izs.me",
+    "url": "http://blog.izs.me"
+  },
+  "bin": {
+    "node-which": "bin/node-which"
+  },
+  "bugs": {
+    "url": "https://github.com/isaacs/node-which/issues"
+  },
+  "dependencies": {
+    "isexe": "^2.0.0"
+  },
+  "description": "Like which(1) unix command. Find the first instance of an executable in the PATH.",
+  "devDependencies": {
+    "mkdirp": "^0.5.0",
+    "rimraf": "^2.6.2",
+    "tap": "^14.6.9"
+  },
+  "engines": {
+    "node": ">= 8"
+  },
+  "files": [
+    "which.js",
+    "bin/node-which"
+  ],
+  "homepage": "https://github.com/isaacs/node-which#readme",
+  "license": "ISC",
+  "main": "which.js",
+  "name": "which",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/isaacs/node-which.git"
+  },
+  "scripts": {
+    "changelog": "git add CHANGELOG.md",
+    "postchangelog": "git commit -m 'update changelog - '${npm_package_version}",
+    "postpublish": "git push origin --follow-tags",
+    "postversion": "npm publish",
+    "prechangelog": "bash gen-changelog.sh",
+    "prepublish": "npm run changelog",
+    "preversion": "npm test",
+    "test": "tap"
+  },
+  "tap": {
+    "check-coverage": true
+  },
+  "version": "2.0.2"
+}
diff --git a/node_modules/@jest/test-sequencer/node_modules/which/which.js b/node_modules/@jest/test-sequencer/node_modules/which/which.js
new file mode 100644
index 000000000..82afffd21
--- /dev/null
+++ b/node_modules/@jest/test-sequencer/node_modules/which/which.js
@@ -0,0 +1,125 @@
+const isWindows = process.platform === 'win32' ||
+    process.env.OSTYPE === 'cygwin' ||
+    process.env.OSTYPE === 'msys'
+
+const path = require('path')
+const COLON = isWindows ? ';' : ':'
+const isexe = require('isexe')
+
+const getNotFoundError = (cmd) =>
+  Object.assign(new Error(`not found: ${cmd}`), { code: 'ENOENT' })
+
+const getPathInfo = (cmd, opt) => {
+  const colon = opt.colon || COLON
+
+  // If it has a slash, then we don't bother searching the pathenv.
+  // just check the file itself, and that's it.
+  const pathEnv = cmd.match(/\//) || isWindows && cmd.match(/\\/) ? ['']
+    : (
+      [
+        // windows always checks the cwd first
+        ...(isWindows ? [process.cwd()] : []),
+        ...(opt.path || process.env.PATH ||
+          /* istanbul ignore next: very unusual */ '').split(colon),
+      ]
+    )
+  const pathExtExe = isWindows
+    ? opt.pathExt || process.env.PATHEXT || '.EXE;.CMD;.BAT;.COM'
+    : ''
+  const pathExt = isWindows ? pathExtExe.split(colon) : ['']
+
+  if (isWindows) {
+    if (cmd.indexOf('.') !== -1 && pathExt[0] !== '')
+      pathExt.unshift('')
+  }
+
+  return {
+    pathEnv,
+    pathExt,
+    pathExtExe,
+  }
+}
+
+const which = (cmd, opt, cb) => {
+  if (typeof opt === 'function') {
+    cb = opt
+    opt = {}
+  }
+  if (!opt)
+    opt = {}
+
+  const { pathEnv, pathExt, pathExtExe } = getPathInfo(cmd, opt)
+  const found = []
+
+  const step = i => new Promise((resolve, reject) => {
+    if (i === pathEnv.length)
+      return opt.all && found.length ? resolve(found)
+        : reject(getNotFoundError(cmd))
+
+    const ppRaw = pathEnv[i]
+    const pathPart = /^".*"$/.test(ppRaw) ? ppRaw.slice(1, -1) : ppRaw
+
+    const pCmd = path.join(pathPart, cmd)
+    const p = !pathPart && /^\.[\\\/]/.test(cmd) ? cmd.slice(0, 2) + pCmd
+      : pCmd
+
+    resolve(subStep(p, i, 0))
+  })
+
+  const subStep = (p, i, ii) => new Promise((resolve, reject) => {
+    if (ii === pathExt.length)
+      return resolve(step(i + 1))
+    const ext = pathExt[ii]
+    isexe(p + ext, { pathExt: pathExtExe }, (er, is) => {
+      if (!er && is) {
+        if (opt.all)
+          found.push(p + ext)
+        else
+          return resolve(p + ext)
+      }
+      return resolve(subStep(p, i, ii + 1))
+    })
+  })
+
+  return cb ? step(0).then(res => cb(null, res), cb) : step(0)
+}
+
+const whichSync = (cmd, opt) => {
+  opt = opt || {}
+
+  const { pathEnv, pathExt, pathExtExe } = getPathInfo(cmd, opt)
+  const found = []
+
+  for (let i = 0; i < pathEnv.length; i ++) {
+    const ppRaw = pathEnv[i]
+    const pathPart = /^".*"$/.test(ppRaw) ? ppRaw.slice(1, -1) : ppRaw
+
+    const pCmd = path.join(pathPart, cmd)
+    const p = !pathPart && /^\.[\\\/]/.test(cmd) ? cmd.slice(0, 2) + pCmd
+      : pCmd
+
+    for (let j = 0; j < pathExt.length; j ++) {
+      const cur = p + pathExt[j]
+      try {
+        const is = isexe.sync(cur, { pathExt: pathExtExe })
+        if (is) {
+          if (opt.all)
+            found.push(cur)
+          else
+            return cur
+        }
+      } catch (ex) {}
+    }
+  }
+
+  if (opt.all && found.length)
+    return found
+
+  if (opt.nothrow)
+    return null
+
+  throw getNotFoundError(cmd)
+}
+
+module.exports = which
+which.sync = whichSync
diff --git a/node_modules/@jest/test-sequencer/package.json b/node_modules/@jest/test-sequencer/package.json
index f05fa5e18..c9b9af955 100644
--- a/node_modules/@jest/test-sequencer/package.json
+++ b/node_modules/@jest/test-sequencer/package.json
@@ -1,47 +1,71 @@
 {
   "_args": [
     [
-      "@jest/test-sequencer@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/test-sequencer@26.1.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/test-sequencer@25.4.0",
-  "_id": "@jest/test-sequencer@25.4.0",
+  "_from": "@jest/test-sequencer@26.1.0",
+  "_id": "@jest/test-sequencer@26.1.0",
   "_inBundle": false,
-  "_integrity": "sha512-240cI+nsM3attx2bMp9uGjjHrwrpvxxrZi8Tyqp/cfOzl98oZXVakXBgxODGyBYAy/UGXPKXLvNc2GaqItrsJg==",
+  "_integrity": "sha512-Z/hcK+rTq56E6sBwMoQhSRDVjqrGtj1y14e2bIgcowARaIE1SgOanwx6gvY4Q9gTKMoZQXbXvptji+q5GYxa6Q==",
   "_location": "/@jest/test-sequencer",
-  "_phantomChildren": {},
+  "_phantomChildren": {
+    "@babel/code-frame": "7.5.5",
+    "@types/color-name": "1.1.1",
+    "@types/graceful-fs": "4.1.3",
+    "@types/istanbul-lib-coverage": "2.0.1",
+    "@types/istanbul-reports": "1.1.1",
+    "@types/stack-utils": "1.0.1",
+    "@types/yargs": "15.0.4",
+    "collect-v8-coverage": "1.0.0",
+    "fb-watchman": "2.0.0",
+    "fsevents": "2.1.2",
+    "graceful-fs": "4.2.4",
+    "is-ci": "2.0.0",
+    "isexe": "2.0.0",
+    "merge-stream": "2.0.0",
+    "micromatch": "4.0.2",
+    "picomatch": "2.0.7",
+    "sane": "4.1.0",
+    "slash": "3.0.0",
+    "walker": "1.0.7"
+  },
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/test-sequencer@25.4.0",
+    "raw": "@jest/test-sequencer@26.1.0",
     "name": "@jest/test-sequencer",
     "escapedName": "@jest%2ftest-sequencer",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "26.1.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "26.1.0"
   },
   "_requiredBy": [
     "/jest-config"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/test-sequencer/-/test-sequencer-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/test-sequencer/-/test-sequencer-26.1.0.tgz",
+  "_spec": "26.1.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
-    "@jest/test-result": "^25.4.0",
-    "jest-haste-map": "^25.4.0",
-    "jest-runner": "^25.4.0",
-    "jest-runtime": "^25.4.0"
+    "@jest/test-result": "^26.1.0",
+    "graceful-fs": "^4.2.4",
+    "jest-haste-map": "^26.1.0",
+    "jest-runner": "^26.1.0",
+    "jest-runtime": "^26.1.0"
+  },
+  "devDependencies": {
+    "@types/graceful-fs": "^4.1.3"
   },
   "engines": {
-    "node": ">= 8.3"
+    "node": ">= 10.14.2"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "817d8b6aca845dd4fcfd7f8316293e69f3a116c5",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -55,12 +79,5 @@
     "directory": "packages/jest-test-sequencer"
   },
   "types": "build/index.d.ts",
-  "typesVersions": {
-    "<3.8": {
-      "build/*": [
-        "build/ts3.4/*"
-      ]
-    }
-  },
-  "version": "25.4.0"
+  "version": "26.1.0"
 }
diff --git a/node_modules/@jest/transform/build/ScriptTransformer.js b/node_modules/@jest/transform/build/ScriptTransformer.js
index cf03316d3..4530ff318 100644
--- a/node_modules/@jest/transform/build/ScriptTransformer.js
+++ b/node_modules/@jest/transform/build/ScriptTransformer.js
@@ -376,8 +376,16 @@ class ScriptTransformer {
     return transform;
   }
 
-  _instrumentFile(filename, content, supportsDynamicImport, supportsStaticESM) {
-    const result = (0, _core().transformSync)(content, {
+  _instrumentFile(
+    filename,
+    input,
+    supportsDynamicImport,
+    supportsStaticESM,
+    canMapToInput
+  ) {
+    const inputCode = typeof input === 'string' ? input : input.code;
+    const inputMap = typeof input === 'string' ? null : input.map;
+    const result = (0, _core().transformSync)(inputCode, {
       auxiliaryCommentBefore: ' istanbul ignore next ',
       babelrc: false,
       caller: {
@@ -396,21 +404,19 @@ class ScriptTransformer {
             cwd: this._config.rootDir,
             exclude: [],
             extension: false,
+            inputSourceMap: inputMap,
             useInlineSourceMaps: false
           }
         ]
-      ]
+      ],
+      sourceMaps: canMapToInput ? 'both' : false
     });
 
-    if (result) {
-      const {code} = result;
-
-      if (code) {
-        return code;
-      }
+    if (result && result.code) {
+      return result;
     }
 
-    return content;
+    return input;
   }
 
   _getRealPath(filepath) {
@@ -452,10 +458,7 @@ class ScriptTransformer {
     // logic and will handle it based on `config.collectCoverage` option
 
     const transformWillInstrument =
-      shouldCallTransform && transform && transform.canInstrument; // If we handle the coverage instrumentation, we should try to map code
-    // coverage against original source with any provided source map
-
-    const mapCoverage = instrument && !transformWillInstrument;
+      shouldCallTransform && transform && transform.canInstrument;
 
     if (code) {
       // This is broken: we return the code, and a path for the source map
@@ -464,7 +467,6 @@ class ScriptTransformer {
       // two separate processes write concurrently to the same cache files.
       return {
         code,
-        mapCoverage,
         originalCode: content,
         sourceMapPath
       };
@@ -503,7 +505,7 @@ class ScriptTransformer {
         );
 
         if (inlineSourceMap) {
-          transformed.map = inlineSourceMap.toJSON();
+          transformed.map = inlineSourceMap.toObject();
         }
       } catch (e) {
         const transformPath = this._getTransformPath(filename);
@@ -514,24 +516,41 @@ class ScriptTransformer {
             'mapping for that file.'
         );
       }
-    }
+    } // Apply instrumentation to the code if necessary, keeping the instrumented code and new map
+
+    let map = transformed.map;
 
     if (!transformWillInstrument && instrument) {
-      code = this._instrumentFile(
+      /**
+       * We can map the original source code to the instrumented code ONLY if
+       * - the process of transforming the code produced a source map e.g. ts-jest
+       * - we did not transform the source code
+       *
+       * Otherwise we cannot make any statements about how the instrumented code corresponds to the original code,
+       * and we should NOT emit any source maps
+       *
+       */
+      const shouldEmitSourceMaps =
+        (transform != null && map != null) || transform == null;
+
+      const instrumented = this._instrumentFile(
         filename,
-        transformed.code,
+        transformed,
         supportsDynamicImport,
-        supportsStaticESM
+        supportsStaticESM,
+        shouldEmitSourceMaps
       );
+
+      code =
+        typeof instrumented === 'string' ? instrumented : instrumented.code;
+      map = typeof instrumented === 'string' ? null : instrumented.map;
     } else {
       code = transformed.code;
     }
 
-    if (transformed.map) {
+    if (map) {
       const sourceMapContent =
-        typeof transformed.map === 'string'
-          ? transformed.map
-          : JSON.stringify(transformed.map);
+        typeof map === 'string' ? map : JSON.stringify(map);
       writeCacheFile(sourceMapPath, sourceMapContent);
     } else {
       sourceMapPath = null;
@@ -540,7 +559,6 @@ class ScriptTransformer {
     writeCodeCacheFile(cacheFilePath, code);
     return {
       code,
-      mapCoverage,
       originalCode: content,
       sourceMapPath
     };
@@ -558,7 +576,6 @@ class ScriptTransformer {
     );
     let code = content;
     let sourceMapPath = null;
-    let mapCoverage = false;
     const willTransform =
       !isInternalModule &&
       !isCoreModule &&
@@ -575,12 +592,10 @@ class ScriptTransformer {
         );
         code = transformedSource.code;
         sourceMapPath = transformedSource.sourceMapPath;
-        mapCoverage = transformedSource.mapCoverage;
       }
 
       return {
         code,
-        mapCoverage,
         originalCode: content,
         sourceMapPath
       };
diff --git a/node_modules/@jest/transform/build/shouldInstrument.js b/node_modules/@jest/transform/build/shouldInstrument.js
index d855c0cf6..f2a9bf0f3 100644
--- a/node_modules/@jest/transform/build/shouldInstrument.js
+++ b/node_modules/@jest/transform/build/shouldInstrument.js
@@ -184,7 +184,13 @@ function shouldInstrument(filename, options, config) {
   }
 
   if (options.changedFiles && !options.changedFiles.has(filename)) {
-    return false;
+    if (!options.sourcesRelatedToTestsInChangedFiles) {
+      return false;
+    }
+
+    if (!options.sourcesRelatedToTestsInChangedFiles.has(filename)) {
+      return false;
+    }
   }
 
   return true;
diff --git a/node_modules/@jest/transform/build/ts3.4/types.d.ts b/node_modules/@jest/transform/build/ts3.4/types.d.ts
index 2b46baf29..844395b41 100644
--- a/node_modules/@jest/transform/build/ts3.4/types.d.ts
+++ b/node_modules/@jest/transform/build/ts3.4/types.d.ts
@@ -8,6 +8,7 @@ import { RawSourceMap } from 'source-map';
 import { Config, TransformTypes } from '@jest/types';
 export declare type ShouldInstrumentOptions = Pick<Config.GlobalConfig, 'collectCoverage' | 'collectCoverageFrom' | 'collectCoverageOnlyFrom' | 'coverageProvider'> & {
     changedFiles?: Set<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>;
 };
 export declare type Options = ShouldInstrumentOptions & Partial<{
     isCoreModule: boolean;
diff --git a/node_modules/@jest/transform/build/types.d.ts b/node_modules/@jest/transform/build/types.d.ts
index 70681c77e..ceb1eb89b 100644
--- a/node_modules/@jest/transform/build/types.d.ts
+++ b/node_modules/@jest/transform/build/types.d.ts
@@ -8,6 +8,7 @@ import type { RawSourceMap } from 'source-map';
 import type { Config, TransformTypes } from '@jest/types';
 export declare type ShouldInstrumentOptions = Pick<Config.GlobalConfig, 'collectCoverage' | 'collectCoverageFrom' | 'collectCoverageOnlyFrom' | 'coverageProvider'> & {
     changedFiles?: Set<Config.Path>;
+    sourcesRelatedToTestsInChangedFiles?: Set<Config.Path>;
 };
 export declare type Options = ShouldInstrumentOptions & Partial<{
     isCoreModule: boolean;
diff --git a/node_modules/@jest/transform/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/transform/node_modules/@jest/types/build/Transform.d.ts
index ea3e511cb..af8063f7d 100644
--- a/node_modules/@jest/transform/node_modules/@jest/types/build/Transform.d.ts
+++ b/node_modules/@jest/transform/node_modules/@jest/types/build/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/transform/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/transform/node_modules/@jest/types/build/ts3.4/Transform.d.ts
index bcc63baf1..231ae24ca 100644
--- a/node_modules/@jest/transform/node_modules/@jest/types/build/ts3.4/Transform.d.ts
+++ b/node_modules/@jest/transform/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -7,6 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
diff --git a/node_modules/@jest/transform/node_modules/@jest/types/package.json b/node_modules/@jest/transform/node_modules/@jest/types/package.json
index 1d6a5061c..242b9622b 100644
--- a/node_modules/@jest/transform/node_modules/@jest/types/package.json
+++ b/node_modules/@jest/transform/node_modules/@jest/types/package.json
@@ -1,34 +1,34 @@
 {
   "_args": [
     [
-      "@jest/types@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/types@25.4.0",
-  "_id": "@jest/types@25.4.0",
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-XBeaWNzw2PPnGW5aXvZt3+VO60M+34RY3XDsCK5tW7kyj3RK0XClRutCfjqcBuaR2aBQTbluEDME9b5MB9UAPw==",
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
   "_location": "/@jest/transform/@jest/types",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/types@25.4.0",
+    "raw": "@jest/types@25.5.0",
     "name": "@jest/types",
     "escapedName": "@jest%2ftypes",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/@jest/transform"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
@@ -44,7 +44,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -65,5 +65,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@jest/transform/node_modules/ansi-styles/package.json b/node_modules/@jest/transform/node_modules/ansi-styles/package.json
index a310c964c..1655db1b6 100644
--- a/node_modules/@jest/transform/node_modules/ansi-styles/package.json
+++ b/node_modules/@jest/transform/node_modules/ansi-styles/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ansi-styles@4.2.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
   "_spec": "4.2.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/transform/node_modules/chalk/package.json b/node_modules/@jest/transform/node_modules/chalk/package.json
index 6233012a2..dfdf83c33 100644
--- a/node_modules/@jest/transform/node_modules/chalk/package.json
+++ b/node_modules/@jest/transform/node_modules/chalk/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "chalk@3.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -28,7 +28,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
   "_spec": "3.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/chalk/chalk/issues"
   },
diff --git a/node_modules/@jest/transform/node_modules/color-convert/package.json b/node_modules/@jest/transform/node_modules/color-convert/package.json
index 9035c6145..357b097c7 100644
--- a/node_modules/@jest/transform/node_modules/color-convert/package.json
+++ b/node_modules/@jest/transform/node_modules/color-convert/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-convert@2.0.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
   "_spec": "2.0.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Heather Arthur",
     "email": "fayearthur@gmail.com"
diff --git a/node_modules/@jest/transform/node_modules/color-name/package.json b/node_modules/@jest/transform/node_modules/color-name/package.json
index 1ce04de74..fec731116 100644
--- a/node_modules/@jest/transform/node_modules/color-name/package.json
+++ b/node_modules/@jest/transform/node_modules/color-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-name@1.1.4",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
   "_spec": "1.1.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "DY",
     "email": "dfcreative@gmail.com"
diff --git a/node_modules/@jest/transform/node_modules/graceful-fs/LICENSE b/node_modules/@jest/transform/node_modules/graceful-fs/LICENSE
new file mode 100644
index 000000000..9d2c80369
--- /dev/null
+++ b/node_modules/@jest/transform/node_modules/graceful-fs/LICENSE
@@ -0,0 +1,15 @@
+The ISC License
+
+Copyright (c) Isaac Z. Schlueter, Ben Noordhuis, and Contributors
+
+Permission to use, copy, modify, and/or distribute this software for any
+purpose with or without fee is hereby granted, provided that the above
+copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES
+WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
+MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR
+ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
+WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
+ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR
+IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
diff --git a/node_modules/@jest/transform/node_modules/graceful-fs/README.md b/node_modules/@jest/transform/node_modules/graceful-fs/README.md
new file mode 100644
index 000000000..5273a50ad
--- /dev/null
+++ b/node_modules/@jest/transform/node_modules/graceful-fs/README.md
@@ -0,0 +1,133 @@
+# graceful-fs
+
+graceful-fs functions as a drop-in replacement for the fs module,
+making various improvements.
+
+The improvements are meant to normalize behavior across different
+platforms and environments, and to make filesystem access more
+resilient to errors.
+
+## Improvements over [fs module](https://nodejs.org/api/fs.html)
+
+* Queues up `open` and `readdir` calls, and retries them once
+  something closes if there is an EMFILE error from too many file
+  descriptors.
+* fixes `lchmod` for Node versions prior to 0.6.2.
+* implements `fs.lutimes` if possible. Otherwise it becomes a noop.
+* ignores `EINVAL` and `EPERM` errors in `chown`, `fchown` or
+  `lchown` if the user isn't root.
+* makes `lchmod` and `lchown` become noops, if not available.
+* retries reading a file if `read` results in EAGAIN error.
+
+On Windows, it retries renaming a file for up to one second if `EACCESS`
+or `EPERM` error occurs, likely because antivirus software has locked
+the directory.
+
+## USAGE
+
+```javascript
+// use just like fs
+var fs = require('graceful-fs')
+
+// now go and do stuff with it...
+fs.readFileSync('some-file-or-whatever')
+```
+
+## Global Patching
+
+If you want to patch the global fs module (or any other fs-like
+module) you can do this:
+
+```javascript
+// Make sure to read the caveat below.
+var realFs = require('fs')
+var gracefulFs = require('graceful-fs')
+gracefulFs.gracefulify(realFs)
+```
+
+This should only ever be done at the top-level application layer, in
+order to delay on EMFILE errors from any fs-using dependencies.  You
+should **not** do this in a library, because it can cause unexpected
+delays in other parts of the program.
+
+## Changes
+
+This module is fairly stable at this point, and used by a lot of
+things.  That being said, because it implements a subtle behavior
+change in a core part of the node API, even modest changes can be
+extremely breaking, and the versioning is thus biased towards
+bumping the major when in doubt.
+
+The main change between major versions has been switching between
+providing a fully-patched `fs` module vs monkey-patching the node core
+builtin, and the approach by which a non-monkey-patched `fs` was
+created.
+
+The goal is to trade `EMFILE` errors for slower fs operations.  So, if
+you try to open a zillion files, rather than crashing, `open`
+operations will be queued up and wait for something else to `close`.
+
+There are advantages to each approach.  Monkey-patching the fs means
+that no `EMFILE` errors can possibly occur anywhere in your
+application, because everything is using the same core `fs` module,
+which is patched.  However, it can also obviously cause undesirable
+side-effects, especially if the module is loaded multiple times.
+
+Implementing a separate-but-identical patched `fs` module is more
+surgical (and doesn't run the risk of patching multiple times), but
+also imposes the challenge of keeping in sync with the core module.
+
+The current approach loads the `fs` module, and then creates a
+lookalike object that has all the same methods, except a few that are
+patched.  It is safe to use in all versions of Node from 0.8 through
+7.0.
+
+### v4
+
+* Do not monkey-patch the fs module.  This module may now be used as a
+  drop-in dep, and users can opt into monkey-patching the fs builtin
+  if their app requires it.
+
+### v3
+
+* Monkey-patch fs, because the eval approach no longer works on recent
+  node.
+* fixed possible type-error throw if rename fails on windows
+* verify that we *never* get EMFILE errors
+* Ignore ENOSYS from chmod/chown
+* clarify that graceful-fs must be used as a drop-in
+
+### v2.1.0
+
+* Use eval rather than monkey-patching fs.
+* readdir: Always sort the results
+* win32: requeue a file if error has an OK status
+
+### v2.0
+
+* A return to monkey patching
+* wrap process.cwd
+
+### v1.1
+
+* wrap readFile
+* Wrap fs.writeFile.
+* readdir protection
+* Don't clobber the fs builtin
+* Handle fs.read EAGAIN errors by trying again
+* Expose the curOpen counter
+* No-op lchown/lchmod if not implemented
+* fs.rename patch only for win32
+* Patch fs.rename to handle AV software on Windows
+* Close #4 Chown should not fail on einval or eperm if non-root
+* Fix isaacs/fstream#1 Only wrap fs one time
+* Fix #3 Start at 1024 max files, then back off on EMFILE
+* lutimes that doens't blow up on Linux
+* A full on-rewrite using a queue instead of just swallowing the EMFILE error
+* Wrap Read/Write streams as well
+
+### 1.0
+
+* Update engines for node 0.6
+* Be lstat-graceful on Windows
+* first
diff --git a/node_modules/@jest/transform/node_modules/graceful-fs/clone.js b/node_modules/@jest/transform/node_modules/graceful-fs/clone.js
new file mode 100644
index 000000000..028356c96
--- /dev/null
+++ b/node_modules/@jest/transform/node_modules/graceful-fs/clone.js
@@ -0,0 +1,19 @@
+'use strict'
+
+module.exports = clone
+
+function clone (obj) {
+  if (obj === null || typeof obj !== 'object')
+    return obj
+
+  if (obj instanceof Object)
+    var copy = { __proto__: obj.__proto__ }
+  else
+    var copy = Object.create(null)
+
+  Object.getOwnPropertyNames(obj).forEach(function (key) {
+    Object.defineProperty(copy, key, Object.getOwnPropertyDescriptor(obj, key))
+  })
+
+  return copy
+}
diff --git a/node_modules/@jest/transform/node_modules/graceful-fs/graceful-fs.js b/node_modules/@jest/transform/node_modules/graceful-fs/graceful-fs.js
new file mode 100644
index 000000000..de3df47fd
--- /dev/null
+++ b/node_modules/@jest/transform/node_modules/graceful-fs/graceful-fs.js
@@ -0,0 +1,354 @@
+var fs = require('fs')
+var polyfills = require('./polyfills.js')
+var legacy = require('./legacy-streams.js')
+var clone = require('./clone.js')
+
+var util = require('util')
+
+/* istanbul ignore next - node 0.x polyfill */
+var gracefulQueue
+var previousSymbol
+
+/* istanbul ignore else - node 0.x polyfill */
+if (typeof Symbol === 'function' && typeof Symbol.for === 'function') {
+  gracefulQueue = Symbol.for('graceful-fs.queue')
+  // This is used in testing by future versions
+  previousSymbol = Symbol.for('graceful-fs.previous')
+} else {
+  gracefulQueue = '___graceful-fs.queue'
+  previousSymbol = '___graceful-fs.previous'
+}
+
+function noop () {}
+
+function publishQueue(context, queue) {
+  Object.defineProperty(context, gracefulQueue, {
+    get: function() {
+      return queue
+    }
+  })
+}
+
+var debug = noop
+if (util.debuglog)
+  debug = util.debuglog('gfs4')
+else if (/\bgfs4\b/i.test(process.env.NODE_DEBUG || ''))
+  debug = function() {
+    var m = util.format.apply(util, arguments)
+    m = 'GFS4: ' + m.split(/\n/).join('\nGFS4: ')
+    console.error(m)
+  }
+
+// Once time initialization
+if (!fs[gracefulQueue]) {
+  // This queue can be shared by multiple loaded instances
+  var queue = global[gracefulQueue] || []
+  publishQueue(fs, queue)
+
+  // Patch fs.close/closeSync to shared queue version, because we need
+  // to retry() whenever a close happens *anywhere* in the program.
+  // This is essential when multiple graceful-fs instances are
+  // in play at the same time.
+  fs.close = (function (fs$close) {
+    function close (fd, cb) {
+      return fs$close.call(fs, fd, function (err) {
+        // This function uses the graceful-fs shared queue
+        if (!err) {
+          retry()
+        }
+
+        if (typeof cb === 'function')
+          cb.apply(this, arguments)
+      })
+    }
+
+    Object.defineProperty(close, previousSymbol, {
+      value: fs$close
+    })
+    return close
+  })(fs.close)
+
+  fs.closeSync = (function (fs$closeSync) {
+    function closeSync (fd) {
+      // This function uses the graceful-fs shared queue
+      fs$closeSync.apply(fs, arguments)
+      retry()
+    }
+
+    Object.defineProperty(closeSync, previousSymbol, {
+      value: fs$closeSync
+    })
+    return closeSync
+  })(fs.closeSync)
+
+  if (/\bgfs4\b/i.test(process.env.NODE_DEBUG || '')) {
+    process.on('exit', function() {
+      debug(fs[gracefulQueue])
+      require('assert').equal(fs[gracefulQueue].length, 0)
+    })
+  }
+}
+
+if (!global[gracefulQueue]) {
+  publishQueue(global, fs[gracefulQueue]);
+}
+
+module.exports = patch(clone(fs))
+if (process.env.TEST_GRACEFUL_FS_GLOBAL_PATCH && !fs.__patched) {
+    module.exports = patch(fs)
+    fs.__patched = true;
+}
+
+function patch (fs) {
+  // Everything that references the open() function needs to be in here
+  polyfills(fs)
+  fs.gracefulify = patch
+
+  fs.createReadStream = createReadStream
+  fs.createWriteStream = createWriteStream
+  var fs$readFile = fs.readFile
+  fs.readFile = readFile
+  function readFile (path, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$readFile(path, options, cb)
+
+    function go$readFile (path, options, cb) {
+      return fs$readFile(path, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$readFile, [path, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$writeFile = fs.writeFile
+  fs.writeFile = writeFile
+  function writeFile (path, data, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$writeFile(path, data, options, cb)
+
+    function go$writeFile (path, data, options, cb) {
+      return fs$writeFile(path, data, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$writeFile, [path, data, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$appendFile = fs.appendFile
+  if (fs$appendFile)
+    fs.appendFile = appendFile
+  function appendFile (path, data, options, cb) {
+    if (typeof options === 'function')
+      cb = options, options = null
+
+    return go$appendFile(path, data, options, cb)
+
+    function go$appendFile (path, data, options, cb) {
+      return fs$appendFile(path, data, options, function (err) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$appendFile, [path, data, options, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  var fs$readdir = fs.readdir
+  fs.readdir = readdir
+  function readdir (path, options, cb) {
+    var args = [path]
+    if (typeof options !== 'function') {
+      args.push(options)
+    } else {
+      cb = options
+    }
+    args.push(go$readdir$cb)
+
+    return go$readdir(args)
+
+    function go$readdir$cb (err, files) {
+      if (files && files.sort)
+        files.sort()
+
+      if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+        enqueue([go$readdir, [args]])
+
+      else {
+        if (typeof cb === 'function')
+          cb.apply(this, arguments)
+        retry()
+      }
+    }
+  }
+
+  function go$readdir (args) {
+    return fs$readdir.apply(fs, args)
+  }
+
+  if (process.version.substr(0, 4) === 'v0.8') {
+    var legStreams = legacy(fs)
+    ReadStream = legStreams.ReadStream
+    WriteStream = legStreams.WriteStream
+  }
+
+  var fs$ReadStream = fs.ReadStream
+  if (fs$ReadStream) {
+    ReadStream.prototype = Object.create(fs$ReadStream.prototype)
+    ReadStream.prototype.open = ReadStream$open
+  }
+
+  var fs$WriteStream = fs.WriteStream
+  if (fs$WriteStream) {
+    WriteStream.prototype = Object.create(fs$WriteStream.prototype)
+    WriteStream.prototype.open = WriteStream$open
+  }
+
+  Object.defineProperty(fs, 'ReadStream', {
+    get: function () {
+      return ReadStream
+    },
+    set: function (val) {
+      ReadStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+  Object.defineProperty(fs, 'WriteStream', {
+    get: function () {
+      return WriteStream
+    },
+    set: function (val) {
+      WriteStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+
+  // legacy names
+  var FileReadStream = ReadStream
+  Object.defineProperty(fs, 'FileReadStream', {
+    get: function () {
+      return FileReadStream
+    },
+    set: function (val) {
+      FileReadStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+  var FileWriteStream = WriteStream
+  Object.defineProperty(fs, 'FileWriteStream', {
+    get: function () {
+      return FileWriteStream
+    },
+    set: function (val) {
+      FileWriteStream = val
+    },
+    enumerable: true,
+    configurable: true
+  })
+
+  function ReadStream (path, options) {
+    if (this instanceof ReadStream)
+      return fs$ReadStream.apply(this, arguments), this
+    else
+      return ReadStream.apply(Object.create(ReadStream.prototype), arguments)
+  }
+
+  function ReadStream$open () {
+    var that = this
+    open(that.path, that.flags, that.mode, function (err, fd) {
+      if (err) {
+        if (that.autoClose)
+          that.destroy()
+
+        that.emit('error', err)
+      } else {
+        that.fd = fd
+        that.emit('open', fd)
+        that.read()
+      }
+    })
+  }
+
+  function WriteStream (path, options) {
+    if (this instanceof WriteStream)
+      return fs$WriteStream.apply(this, arguments), this
+    else
+      return WriteStream.apply(Object.create(WriteStream.prototype), arguments)
+  }
+
+  function WriteStream$open () {
+    var that = this
+    open(that.path, that.flags, that.mode, function (err, fd) {
+      if (err) {
+        that.destroy()
+        that.emit('error', err)
+      } else {
+        that.fd = fd
+        that.emit('open', fd)
+      }
+    })
+  }
+
+  function createReadStream (path, options) {
+    return new fs.ReadStream(path, options)
+  }
+
+  function createWriteStream (path, options) {
+    return new fs.WriteStream(path, options)
+  }
+
+  var fs$open = fs.open
+  fs.open = open
+  function open (path, flags, mode, cb) {
+    if (typeof mode === 'function')
+      cb = mode, mode = null
+
+    return go$open(path, flags, mode, cb)
+
+    function go$open (path, flags, mode, cb) {
+      return fs$open(path, flags, mode, function (err, fd) {
+        if (err && (err.code === 'EMFILE' || err.code === 'ENFILE'))
+          enqueue([go$open, [path, flags, mode, cb]])
+        else {
+          if (typeof cb === 'function')
+            cb.apply(this, arguments)
+          retry()
+        }
+      })
+    }
+  }
+
+  return fs
+}
+
+function enqueue (elem) {
+  debug('ENQUEUE', elem[0].name, elem[1])
+  fs[gracefulQueue].push(elem)
+}
+
+function retry () {
+  var elem = fs[gracefulQueue].shift()
+  if (elem) {
+    debug('RETRY', elem[0].name, elem[1])
+    elem[0].apply(null, elem[1])
+  }
+}
diff --git a/node_modules/@jest/transform/node_modules/graceful-fs/legacy-streams.js b/node_modules/@jest/transform/node_modules/graceful-fs/legacy-streams.js
new file mode 100644
index 000000000..d617b50fc
--- /dev/null
+++ b/node_modules/@jest/transform/node_modules/graceful-fs/legacy-streams.js
@@ -0,0 +1,118 @@
+var Stream = require('stream').Stream
+
+module.exports = legacy
+
+function legacy (fs) {
+  return {
+    ReadStream: ReadStream,
+    WriteStream: WriteStream
+  }
+
+  function ReadStream (path, options) {
+    if (!(this instanceof ReadStream)) return new ReadStream(path, options);
+
+    Stream.call(this);
+
+    var self = this;
+
+    this.path = path;
+    this.fd = null;
+    this.readable = true;
+    this.paused = false;
+
+    this.flags = 'r';
+    this.mode = 438; /*=0666*/
+    this.bufferSize = 64 * 1024;
+
+    options = options || {};
+
+    // Mixin options into this
+    var keys = Object.keys(options);
+    for (var index = 0, length = keys.length; index < length; index++) {
+      var key = keys[index];
+      this[key] = options[key];
+    }
+
+    if (this.encoding) this.setEncoding(this.encoding);
+
+    if (this.start !== undefined) {
+      if ('number' !== typeof this.start) {
+        throw TypeError('start must be a Number');
+      }
+      if (this.end === undefined) {
+        this.end = Infinity;
+      } else if ('number' !== typeof this.end) {
+        throw TypeError('end must be a Number');
+      }
+
+      if (this.start > this.end) {
+        throw new Error('start must be <= end');
+      }
+
+      this.pos = this.start;
+    }
+
+    if (this.fd !== null) {
+      process.nextTick(function() {
+        self._read();
+      });
+      return;
+    }
+
+    fs.open(this.path, this.flags, this.mode, function (err, fd) {
+      if (err) {
+        self.emit('error', err);
+        self.readable = false;
+        return;
+      }
+
+      self.fd = fd;
+      self.emit('open', fd);
+      self._read();
+    })
+  }
+
+  function WriteStream (path, options) {
+    if (!(this instanceof WriteStream)) return new WriteStream(path, options);
+
+    Stream.call(this);
+
+    this.path = path;
+    this.fd = null;
+    this.writable = true;
+
+    this.flags = 'w';
+    this.encoding = 'binary';
+    this.mode = 438; /*=0666*/
+    this.bytesWritten = 0;
+
+    options = options || {};
+
+    // Mixin options into this
+    var keys = Object.keys(options);
+    for (var index = 0, length = keys.length; index < length; index++) {
+      var key = keys[index];
+      this[key] = options[key];
+    }
+
+    if (this.start !== undefined) {
+      if ('number' !== typeof this.start) {
+        throw TypeError('start must be a Number');
+      }
+      if (this.start < 0) {
+        throw new Error('start must be >= zero');
+      }
+
+      this.pos = this.start;
+    }
+
+    this.busy = false;
+    this._queue = [];
+
+    if (this.fd === null) {
+      this._open = fs.open;
+      this._queue.push([this._open, this.path, this.flags, this.mode, undefined]);
+      this.flush();
+    }
+  }
+}
diff --git a/node_modules/@jest/transform/node_modules/graceful-fs/package.json b/node_modules/@jest/transform/node_modules/graceful-fs/package.json
new file mode 100644
index 000000000..56c5a1ef7
--- /dev/null
+++ b/node_modules/@jest/transform/node_modules/graceful-fs/package.json
@@ -0,0 +1,83 @@
+{
+  "_args": [
+    [
+      "graceful-fs@4.2.4",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "graceful-fs@4.2.4",
+  "_id": "graceful-fs@4.2.4",
+  "_inBundle": false,
+  "_integrity": "sha512-WjKPNJF79dtJAVniUlGGWHYGz2jWxT6VhN/4m1NdkbZ2nOsEF+cI1Edgql5zCRhs/VsQYRvrXctxktVXZUkixw==",
+  "_location": "/@jest/transform/graceful-fs",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "graceful-fs@4.2.4",
+    "name": "graceful-fs",
+    "escapedName": "graceful-fs",
+    "rawSpec": "4.2.4",
+    "saveSpec": null,
+    "fetchSpec": "4.2.4"
+  },
+  "_requiredBy": [
+    "/@jest/transform"
+  ],
+  "_resolved": "https://registry.npmjs.org/graceful-fs/-/graceful-fs-4.2.4.tgz",
+  "_spec": "4.2.4",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/isaacs/node-graceful-fs/issues"
+  },
+  "dependencies": {},
+  "description": "A drop-in replacement for fs, making various improvements.",
+  "devDependencies": {
+    "import-fresh": "^2.0.0",
+    "mkdirp": "^0.5.0",
+    "rimraf": "^2.2.8",
+    "tap": "^12.7.0"
+  },
+  "directories": {
+    "test": "test"
+  },
+  "files": [
+    "fs.js",
+    "graceful-fs.js",
+    "legacy-streams.js",
+    "polyfills.js",
+    "clone.js"
+  ],
+  "homepage": "https://github.com/isaacs/node-graceful-fs#readme",
+  "keywords": [
+    "fs",
+    "module",
+    "reading",
+    "retry",
+    "retries",
+    "queue",
+    "error",
+    "errors",
+    "handling",
+    "EMFILE",
+    "EAGAIN",
+    "EINVAL",
+    "EPERM",
+    "EACCESS"
+  ],
+  "license": "ISC",
+  "main": "graceful-fs.js",
+  "name": "graceful-fs",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/isaacs/node-graceful-fs.git"
+  },
+  "scripts": {
+    "postpublish": "git push origin --follow-tags",
+    "postversion": "npm publish",
+    "preversion": "npm test",
+    "test": "node test.js | tap -"
+  },
+  "version": "4.2.4"
+}
diff --git a/node_modules/@jest/transform/node_modules/graceful-fs/polyfills.js b/node_modules/@jest/transform/node_modules/graceful-fs/polyfills.js
new file mode 100644
index 000000000..a5808d23f
--- /dev/null
+++ b/node_modules/@jest/transform/node_modules/graceful-fs/polyfills.js
@@ -0,0 +1,342 @@
+var constants = require('constants')
+
+var origCwd = process.cwd
+var cwd = null
+
+var platform = process.env.GRACEFUL_FS_PLATFORM || process.platform
+
+process.cwd = function() {
+  if (!cwd)
+    cwd = origCwd.call(process)
+  return cwd
+}
+try {
+  process.cwd()
+} catch (er) {}
+
+var chdir = process.chdir
+process.chdir = function(d) {
+  cwd = null
+  chdir.call(process, d)
+}
+
+module.exports = patch
+
+function patch (fs) {
+  // (re-)implement some things that are known busted or missing.
+
+  // lchmod, broken prior to 0.6.2
+  // back-port the fix here.
+  if (constants.hasOwnProperty('O_SYMLINK') &&
+      process.version.match(/^v0\.6\.[0-2]|^v0\.5\./)) {
+    patchLchmod(fs)
+  }
+
+  // lutimes implementation, or no-op
+  if (!fs.lutimes) {
+    patchLutimes(fs)
+  }
+
+  // https://github.com/isaacs/node-graceful-fs/issues/4
+  // Chown should not fail on einval or eperm if non-root.
+  // It should not fail on enosys ever, as this just indicates
+  // that a fs doesn't support the intended operation.
+
+  fs.chown = chownFix(fs.chown)
+  fs.fchown = chownFix(fs.fchown)
+  fs.lchown = chownFix(fs.lchown)
+
+  fs.chmod = chmodFix(fs.chmod)
+  fs.fchmod = chmodFix(fs.fchmod)
+  fs.lchmod = chmodFix(fs.lchmod)
+
+  fs.chownSync = chownFixSync(fs.chownSync)
+  fs.fchownSync = chownFixSync(fs.fchownSync)
+  fs.lchownSync = chownFixSync(fs.lchownSync)
+
+  fs.chmodSync = chmodFixSync(fs.chmodSync)
+  fs.fchmodSync = chmodFixSync(fs.fchmodSync)
+  fs.lchmodSync = chmodFixSync(fs.lchmodSync)
+
+  fs.stat = statFix(fs.stat)
+  fs.fstat = statFix(fs.fstat)
+  fs.lstat = statFix(fs.lstat)
+
+  fs.statSync = statFixSync(fs.statSync)
+  fs.fstatSync = statFixSync(fs.fstatSync)
+  fs.lstatSync = statFixSync(fs.lstatSync)
+
+  // if lchmod/lchown do not exist, then make them no-ops
+  if (!fs.lchmod) {
+    fs.lchmod = function (path, mode, cb) {
+      if (cb) process.nextTick(cb)
+    }
+    fs.lchmodSync = function () {}
+  }
+  if (!fs.lchown) {
+    fs.lchown = function (path, uid, gid, cb) {
+      if (cb) process.nextTick(cb)
+    }
+    fs.lchownSync = function () {}
+  }
+
+  // on Windows, A/V software can lock the directory, causing this
+  // to fail with an EACCES or EPERM if the directory contains newly
+  // created files.  Try again on failure, for up to 60 seconds.
+
+  // Set the timeout this long because some Windows Anti-Virus, such as Parity
+  // bit9, may lock files for up to a minute, causing npm package install
+  // failures. Also, take care to yield the scheduler. Windows scheduling gives
+  // CPU to a busy looping process, which can cause the program causing the lock
+  // contention to be starved of CPU by node, so the contention doesn't resolve.
+  if (platform === "win32") {
+    fs.rename = (function (fs$rename) { return function (from, to, cb) {
+      var start = Date.now()
+      var backoff = 0;
+      fs$rename(from, to, function CB (er) {
+        if (er
+            && (er.code === "EACCES" || er.code === "EPERM")
+            && Date.now() - start < 60000) {
+          setTimeout(function() {
+            fs.stat(to, function (stater, st) {
+              if (stater && stater.code === "ENOENT")
+                fs$rename(from, to, CB);
+              else
+                cb(er)
+            })
+          }, backoff)
+          if (backoff < 100)
+            backoff += 10;
+          return;
+        }
+        if (cb) cb(er)
+      })
+    }})(fs.rename)
+  }
+
+  // if read() returns EAGAIN, then just try it again.
+  fs.read = (function (fs$read) {
+    function read (fd, buffer, offset, length, position, callback_) {
+      var callback
+      if (callback_ && typeof callback_ === 'function') {
+        var eagCounter = 0
+        callback = function (er, _, __) {
+          if (er && er.code === 'EAGAIN' && eagCounter < 10) {
+            eagCounter ++
+            return fs$read.call(fs, fd, buffer, offset, length, position, callback)
+          }
+          callback_.apply(this, arguments)
+        }
+      }
+      return fs$read.call(fs, fd, buffer, offset, length, position, callback)
+    }
+
+    // This ensures `util.promisify` works as it does for native `fs.read`.
+    read.__proto__ = fs$read
+    return read
+  })(fs.read)
+
+  fs.readSync = (function (fs$readSync) { return function (fd, buffer, offset, length, position) {
+    var eagCounter = 0
+    while (true) {
+      try {
+        return fs$readSync.call(fs, fd, buffer, offset, length, position)
+      } catch (er) {
+        if (er.code === 'EAGAIN' && eagCounter < 10) {
+          eagCounter ++
+          continue
+        }
+        throw er
+      }
+    }
+  }})(fs.readSync)
+
+  function patchLchmod (fs) {
+    fs.lchmod = function (path, mode, callback) {
+      fs.open( path
+             , constants.O_WRONLY | constants.O_SYMLINK
+             , mode
+             , function (err, fd) {
+        if (err) {
+          if (callback) callback(err)
+          return
+        }
+        // prefer to return the chmod error, if one occurs,
+        // but still try to close, and report closing errors if they occur.
+        fs.fchmod(fd, mode, function (err) {
+          fs.close(fd, function(err2) {
+            if (callback) callback(err || err2)
+          })
+        })
+      })
+    }
+
+    fs.lchmodSync = function (path, mode) {
+      var fd = fs.openSync(path, constants.O_WRONLY | constants.O_SYMLINK, mode)
+
+      // prefer to return the chmod error, if one occurs,
+      // but still try to close, and report closing errors if they occur.
+      var threw = true
+      var ret
+      try {
+        ret = fs.fchmodSync(fd, mode)
+        threw = false
+      } finally {
+        if (threw) {
+          try {
+            fs.closeSync(fd)
+          } catch (er) {}
+        } else {
+          fs.closeSync(fd)
+        }
+      }
+      return ret
+    }
+  }
+
+  function patchLutimes (fs) {
+    if (constants.hasOwnProperty("O_SYMLINK")) {
+      fs.lutimes = function (path, at, mt, cb) {
+        fs.open(path, constants.O_SYMLINK, function (er, fd) {
+          if (er) {
+            if (cb) cb(er)
+            return
+          }
+          fs.futimes(fd, at, mt, function (er) {
+            fs.close(fd, function (er2) {
+              if (cb) cb(er || er2)
+            })
+          })
+        })
+      }
+
+      fs.lutimesSync = function (path, at, mt) {
+        var fd = fs.openSync(path, constants.O_SYMLINK)
+        var ret
+        var threw = true
+        try {
+          ret = fs.futimesSync(fd, at, mt)
+          threw = false
+        } finally {
+          if (threw) {
+            try {
+              fs.closeSync(fd)
+            } catch (er) {}
+          } else {
+            fs.closeSync(fd)
+          }
+        }
+        return ret
+      }
+
+    } else {
+      fs.lutimes = function (_a, _b, _c, cb) { if (cb) process.nextTick(cb) }
+      fs.lutimesSync = function () {}
+    }
+  }
+
+  function chmodFix (orig) {
+    if (!orig) return orig
+    return function (target, mode, cb) {
+      return orig.call(fs, target, mode, function (er) {
+        if (chownErOk(er)) er = null
+        if (cb) cb.apply(this, arguments)
+      })
+    }
+  }
+
+  function chmodFixSync (orig) {
+    if (!orig) return orig
+    return function (target, mode) {
+      try {
+        return orig.call(fs, target, mode)
+      } catch (er) {
+        if (!chownErOk(er)) throw er
+      }
+    }
+  }
+
+
+  function chownFix (orig) {
+    if (!orig) return orig
+    return function (target, uid, gid, cb) {
+      return orig.call(fs, target, uid, gid, function (er) {
+        if (chownErOk(er)) er = null
+        if (cb) cb.apply(this, arguments)
+      })
+    }
+  }
+
+  function chownFixSync (orig) {
+    if (!orig) return orig
+    return function (target, uid, gid) {
+      try {
+        return orig.call(fs, target, uid, gid)
+      } catch (er) {
+        if (!chownErOk(er)) throw er
+      }
+    }
+  }
+
+  function statFix (orig) {
+    if (!orig) return orig
+    // Older versions of Node erroneously returned signed integers for
+    // uid + gid.
+    return function (target, options, cb) {
+      if (typeof options === 'function') {
+        cb = options
+        options = null
+      }
+      function callback (er, stats) {
+        if (stats) {
+          if (stats.uid < 0) stats.uid += 0x100000000
+          if (stats.gid < 0) stats.gid += 0x100000000
+        }
+        if (cb) cb.apply(this, arguments)
+      }
+      return options ? orig.call(fs, target, options, callback)
+        : orig.call(fs, target, callback)
+    }
+  }
+
+  function statFixSync (orig) {
+    if (!orig) return orig
+    // Older versions of Node erroneously returned signed integers for
+    // uid + gid.
+    return function (target, options) {
+      var stats = options ? orig.call(fs, target, options)
+        : orig.call(fs, target)
+      if (stats.uid < 0) stats.uid += 0x100000000
+      if (stats.gid < 0) stats.gid += 0x100000000
+      return stats;
+    }
+  }
+
+  // ENOSYS means that the fs doesn't support the op. Just ignore
+  // that, because it doesn't matter.
+  //
+  // if there's no getuid, or if getuid() is something other
+  // than 0, and the error is EINVAL or EPERM, then just ignore
+  // it.
+  //
+  // This specific case is a silent failure in cp, install, tar,
+  // and most other unix tools that manage permissions.
+  //
+  // When running as root, or if other types of errors are
+  // encountered, then it's strict.
+  function chownErOk (er) {
+    if (!er)
+      return true
+
+    if (er.code === "ENOSYS")
+      return true
+
+    var nonroot = !process.getuid || process.getuid() !== 0
+    if (nonroot) {
+      if (er.code === "EINVAL" || er.code === "EPERM")
+        return true
+    }
+
+    return false
+  }
+}
diff --git a/node_modules/@jest/transform/node_modules/has-flag/package.json b/node_modules/@jest/transform/node_modules/has-flag/package.json
index cc4474e5b..bf22aaaa0 100644
--- a/node_modules/@jest/transform/node_modules/has-flag/package.json
+++ b/node_modules/@jest/transform/node_modules/has-flag/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "has-flag@4.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/transform/node_modules/supports-color/package.json b/node_modules/@jest/transform/node_modules/supports-color/package.json
index 4c6d3ee57..bf59c4218 100644
--- a/node_modules/@jest/transform/node_modules/supports-color/package.json
+++ b/node_modules/@jest/transform/node_modules/supports-color/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "supports-color@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/transform/package.json b/node_modules/@jest/transform/package.json
index 5e205df0f..763cbd4c9 100644
--- a/node_modules/@jest/transform/package.json
+++ b/node_modules/@jest/transform/package.json
@@ -1,15 +1,15 @@
 {
   "_args": [
     [
-      "@jest/transform@25.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/transform@25.5.1",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/transform@25.4.0",
-  "_id": "@jest/transform@25.4.0",
+  "_from": "@jest/transform@25.5.1",
+  "_id": "@jest/transform@25.5.1",
   "_inBundle": false,
-  "_integrity": "sha512-t1w2S6V1sk++1HHsxboWxPEuSpN8pxEvNrZN+Ud/knkROWtf8LeUmz73A4ezE8476a5AM00IZr9a8FO9x1+j3g==",
+  "_integrity": "sha512-Y8CEoVwXb4QwA6Y/9uDkn0Xfz0finGkieuV0xkdF9UtZGJeLukD5nLkaVrVsODB1ojRWlaoD0AJZpVHCSnJEvg==",
   "_location": "/@jest/transform",
   "_phantomChildren": {
     "@types/color-name": "1.1.1",
@@ -20,37 +20,38 @@
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/transform@25.4.0",
+    "raw": "@jest/transform@25.5.1",
     "name": "@jest/transform",
     "escapedName": "@jest%2ftransform",
     "scope": "@jest",
-    "rawSpec": "25.4.0",
+    "rawSpec": "25.5.1",
     "saveSpec": null,
-    "fetchSpec": "25.4.0"
+    "fetchSpec": "25.5.1"
   },
   "_requiredBy": [
     "/@jest/core",
+    "/@jest/core/jest-runtime",
     "/@jest/reporters",
     "/babel-jest",
-    "/jest-runtime"
+    "/jest/jest-runtime"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/transform/-/transform-25.4.0.tgz",
-  "_spec": "25.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/transform/-/transform-25.5.1.tgz",
+  "_spec": "25.5.1",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
   "dependencies": {
     "@babel/core": "^7.1.0",
-    "@jest/types": "^25.4.0",
+    "@jest/types": "^25.5.0",
     "babel-plugin-istanbul": "^6.0.0",
     "chalk": "^3.0.0",
     "convert-source-map": "^1.4.0",
     "fast-json-stable-stringify": "^2.0.0",
-    "graceful-fs": "^4.2.3",
-    "jest-haste-map": "^25.4.0",
+    "graceful-fs": "^4.2.4",
+    "jest-haste-map": "^25.5.1",
     "jest-regex-util": "^25.2.6",
-    "jest-util": "^25.4.0",
+    "jest-util": "^25.5.0",
     "micromatch": "^4.0.2",
     "pirates": "^4.0.1",
     "realpath-native": "^2.0.0",
@@ -71,7 +72,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "5b129d714cadb818be28afbe313cbeae8fbb1dde",
+  "gitHead": "c5f2fd756331895b8177a19304feb49657687e22",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -92,5 +93,5 @@
       ]
     }
   },
-  "version": "25.4.0"
+  "version": "25.5.1"
 }
diff --git a/node_modules/@jest/types/build/Circus.d.ts b/node_modules/@jest/types/build/Circus.d.ts
index 34a893f98..4a6ad8926 100644
--- a/node_modules/@jest/types/build/Circus.d.ts
+++ b/node_modules/@jest/types/build/Circus.d.ts
@@ -14,7 +14,7 @@ export declare type BlockMode = void | 'skip' | 'only' | 'todo';
 export declare type TestMode = BlockMode;
 export declare type TestName = Global.TestName;
 export declare type TestFn = Global.TestFn;
-export declare type HookFn = (done?: DoneFn) => Promise<any> | null | undefined;
+export declare type HookFn = Global.HookFn;
 export declare type AsyncFn = TestFn | HookFn;
 export declare type SharedHookType = 'afterAll' | 'beforeAll';
 export declare type HookType = SharedHookType | 'afterEach' | 'beforeEach';
@@ -28,10 +28,12 @@ export declare type Hook = {
     parent: DescribeBlock;
     timeout: number | undefined | null;
 };
-export declare type EventHandler = (event: Event, state: State) => void;
-export declare type Event = {
-    name: 'include_test_location_in_result';
-} | {
+export interface EventHandler {
+    (event: AsyncEvent, state: State): void | Promise<void>;
+    (event: SyncEvent, state: State): void;
+}
+export declare type Event = SyncEvent | AsyncEvent;
+export declare type SyncEvent = {
     asyncError: Error;
     mode: BlockMode;
     name: 'start_describe_definition';
@@ -53,6 +55,16 @@ export declare type Event = {
     fn?: TestFn;
     mode?: TestMode;
     timeout: number | undefined;
+} | {
+    name: 'error';
+    error: Exception;
+};
+export declare type AsyncEvent = {
+    name: 'setup';
+    testNamePattern?: string;
+    parentProcess: Process;
+} | {
+    name: 'include_test_location_in_result';
 } | {
     name: 'hook_start';
     hook: Hook;
@@ -102,13 +114,6 @@ export declare type Event = {
     name: 'run_start';
 } | {
     name: 'run_finish';
-} | {
-    name: 'error';
-    error: Exception;
-} | {
-    name: 'setup';
-    testNamePattern?: string;
-    parentProcess: Process;
 } | {
     name: 'teardown';
 };
@@ -169,4 +174,3 @@ export declare type TestEntry = {
     timeout?: number;
 };
 export {};
-//# sourceMappingURL=Circus.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/Circus.d.ts.map b/node_modules/@jest/types/build/Circus.d.ts.map
deleted file mode 100644
index cb8516bcf..000000000
--- a/node_modules/@jest/types/build/Circus.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"Circus.d.ts","sourceRoot":"","sources":["../src/Circus.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;;AAEH,OAAO,KAAK,KAAK,MAAM,MAAM,UAAU,CAAC;AAExC,aAAK,OAAO,GAAG,MAAM,CAAC,OAAO,CAAC;AAE9B,oBAAY,MAAM,GAAG,MAAM,CAAC,MAAM,CAAC;AACnC,oBAAY,OAAO,GAAG,MAAM,CAAC,OAAO,CAAC;AACrC,oBAAY,SAAS,GAAG,MAAM,CAAC,SAAS,CAAC;AACzC,oBAAY,SAAS,GAAG,IAAI,GAAG,MAAM,GAAG,MAAM,GAAG,MAAM,CAAC;AACxD,oBAAY,QAAQ,GAAG,SAAS,CAAC;AACjC,oBAAY,QAAQ,GAAG,MAAM,CAAC,QAAQ,CAAC;AACvC,oBAAY,MAAM,GAAG,MAAM,CAAC,MAAM,CAAC;AACnC,oBAAY,MAAM,GAAG,CAAC,IAAI,CAAC,EAAE,MAAM,KAAK,OAAO,CAAC,GAAG,CAAC,GAAG,IAAI,GAAG,SAAS,CAAC;AACxE,oBAAY,OAAO,GAAG,MAAM,GAAG,MAAM,CAAC;AACtC,oBAAY,cAAc,GAAG,UAAU,GAAG,WAAW,CAAC;AACtD,oBAAY,QAAQ,GAAG,cAAc,GAAG,WAAW,GAAG,YAAY,CAAC;AACnE,oBAAY,WAAW,GAAG,MAAM,CAAC,MAAM,EAAE,GAAG,CAAC,CAAC;AAC9C,oBAAY,SAAS,GAAG,GAAG,CAAC;AAC5B,oBAAY,cAAc,GAAG,MAAM,CAAC;AACpC,oBAAY,IAAI,GAAG;IACjB,UAAU,EAAE,KAAK,CAAC;IAClB,EAAE,EAAE,MAAM,CAAC;IACX,IAAI,EAAE,QAAQ,CAAC;IACf,MAAM,EAAE,aAAa,CAAC;IACtB,OAAO,EAAE,MAAM,GAAG,SAAS,GAAG,IAAI,CAAC;CACpC,CAAC;AAEF,oBAAY,YAAY,GAAG,CAAC,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,KAAK,IAAI,CAAC;AAEhE,oBAAY,KAAK,GACb;IACE,IAAI,EAAE,iCAAiC,CAAC;CACzC,GACD;IACE,UAAU,EAAE,KAAK,CAAC;IAClB,IAAI,EAAE,SAAS,CAAC;IAChB,IAAI,EAAE,2BAA2B,CAAC;IAClC,SAAS,EAAE,SAAS,CAAC;CACtB,GACD;IACE,IAAI,EAAE,SAAS,CAAC;IAChB,IAAI,EAAE,4BAA4B,CAAC;IACnC,SAAS,EAAE,SAAS,CAAC;CACtB,GACD;IACE,UAAU,EAAE,KAAK,CAAC;IAClB,IAAI,EAAE,UAAU,CAAC;IACjB,QAAQ,EAAE,QAAQ,CAAC;IACnB,EAAE,EAAE,MAAM,CAAC;IACX,OAAO,EAAE,MAAM,GAAG,SAAS,CAAC;CAC7B,GACD;IACE,UAAU,EAAE,KAAK,CAAC;IAClB,IAAI,EAAE,UAAU,CAAC;IACjB,QAAQ,EAAE,QAAQ,CAAC;IACnB,EAAE,CAAC,EAAE,MAAM,CAAC;IACZ,IAAI,CAAC,EAAE,QAAQ,CAAC;IAChB,OAAO,EAAE,MAAM,GAAG,SAAS,CAAC;CAC7B,GACD;IACE,IAAI,EAAE,YAAY,CAAC;IACnB,IAAI,EAAE,IAAI,CAAC;CACZ,GACD;IACE,IAAI,EAAE,cAAc,CAAC;IACrB,aAAa,CAAC,EAAE,aAAa,CAAC;IAC9B,IAAI,CAAC,EAAE,SAAS,CAAC;IACjB,IAAI,EAAE,IAAI,CAAC;CACZ,GACD;IACE,IAAI,EAAE,cAAc,CAAC;IACrB,KAAK,EAAE,MAAM,GAAG,SAAS,CAAC;IAC1B,aAAa,CAAC,EAAE,aAAa,CAAC;IAC9B,IAAI,CAAC,EAAE,SAAS,CAAC;IACjB,IAAI,EAAE,IAAI,CAAC;CACZ,GACD;IACE,IAAI,EAAE,eAAe,CAAC;IACtB,IAAI,EAAE,SAAS,CAAC;CACjB,GACD;IACE,IAAI,EAAE,iBAAiB,CAAC;IACxB,IAAI,EAAE,SAAS,CAAC;CACjB,GACD;IACE,IAAI,EAAE,iBAAiB,CAAC;IACxB,KAAK,EAAE,SAAS,CAAC;IACjB,IAAI,EAAE,SAAS,CAAC;CACjB,GACD;IACE,IAAI,EAAE,YAAY,CAAC;IACnB,IAAI,EAAE,SAAS,CAAC;CACjB,GACD;IAGE,IAAI,EAAE,YAAY,CAAC;IACnB,IAAI,EAAE,SAAS,CAAC;CACjB,GACD;IACE,IAAI,EAAE,WAAW,CAAC;IAClB,IAAI,EAAE,SAAS,CAAC;CACjB,GACD;IACE,IAAI,EAAE,WAAW,CAAC;IAClB,IAAI,EAAE,SAAS,CAAC;CACjB,GACD;IAKE,IAAI,EAAE,WAAW,CAAC;IAClB,IAAI,EAAE,SAAS,CAAC;CACjB,GACD;IACE,IAAI,EAAE,oBAAoB,CAAC;IAC3B,aAAa,EAAE,aAAa,CAAC;CAC9B,GACD;IACE,IAAI,EAAE,qBAAqB,CAAC;IAC5B,aAAa,EAAE,aAAa,CAAC;CAC9B,GACD;IACE,IAAI,EAAE,WAAW,CAAC;CACnB,GACD;IACE,IAAI,EAAE,YAAY,CAAC;CACpB,GACD;IAGE,IAAI,EAAE,OAAO,CAAC;IACd,KAAK,EAAE,SAAS,CAAC;CAClB,GACD;IAEE,IAAI,EAAE,OAAO,CAAC;IACd,eAAe,CAAC,EAAE,MAAM,CAAC;IACzB,aAAa,EAAE,OAAO,CAAC;CACxB,GACD;IAGE,IAAI,EAAE,UAAU,CAAC;CAClB,CAAC;AAEN,oBAAY,UAAU,GAAG,MAAM,GAAG,MAAM,GAAG,MAAM,CAAC;AAClD,oBAAY,UAAU,GAAG;IACvB,QAAQ,CAAC,EAAE,MAAM,GAAG,IAAI,CAAC;IACzB,MAAM,EAAE,KAAK,CAAC,cAAc,CAAC,CAAC;IAC9B,WAAW,EAAE,MAAM,CAAC;IACpB,MAAM,EAAE,UAAU,CAAC;IACnB,QAAQ,CAAC,EAAE;QAAC,MAAM,EAAE,MAAM,CAAC;QAAC,IAAI,EAAE,MAAM,CAAA;KAAC,GAAG,IAAI,CAAC;IACjD,QAAQ,EAAE,KAAK,CAAC,QAAQ,GAAG,SAAS,CAAC,CAAC;CACvC,CAAC;AAEF,oBAAY,SAAS,GAAG;IACtB,eAAe,EAAE,KAAK,CAAC,cAAc,CAAC,CAAC;IACvC,WAAW,EAAE,WAAW,CAAC;CAC1B,CAAC;AAEF,oBAAY,WAAW,GAAG,KAAK,CAAC,UAAU,CAAC,CAAC;AAE5C,oBAAY,mBAAmB,GAAG;IAChC,iBAAiB,EAAE,KAAK,CAAC,CAAC,SAAS,EAAE,SAAS,KAAK,IAAI,CAAC,CAAC;IACzD,kBAAkB,EAAE,KAAK,CACvB,CAAC,SAAS,EAAE,SAAS,EAAE,OAAO,EAAE,OAAO,CAAC,GAAG,CAAC,KAAK,IAAI,CACtD,CAAC;CACH,CAAC;AAEF,oBAAY,KAAK,GAAG;IAClB,oBAAoB,EAAE,aAAa,CAAC;IACpC,oBAAoB,CAAC,EAAE,SAAS,GAAG,IAAI,CAAC;IACxC,MAAM,CAAC,EAAE,OAAO,CAAC;IACjB,eAAe,EAAE,OAAO,CAAC;IAIzB,2BAA2B,CAAC,EAAE,mBAAmB,CAAC;IAClD,aAAa,EAAE,OAAO,GAAG,IAAI,CAAC;IAC9B,iBAAiB,EAAE,aAAa,CAAC;IACjC,eAAe,CAAC,EAAE,MAAM,GAAG,IAAI,CAAC;IAChC,WAAW,EAAE,MAAM,CAAC;IACpB,eAAe,EAAE,KAAK,CAAC,SAAS,CAAC,CAAC;IAClC,2BAA2B,EAAE,OAAO,CAAC;CACtC,CAAC;AAEF,oBAAY,aAAa,GAAG;IAC1B,QAAQ,EAAE,KAAK,CAAC,aAAa,CAAC,CAAC;IAC/B,KAAK,EAAE,KAAK,CAAC,IAAI,CAAC,CAAC;IACnB,IAAI,EAAE,SAAS,CAAC;IAChB,IAAI,EAAE,SAAS,CAAC;IAChB,MAAM,CAAC,EAAE,aAAa,CAAC;IACvB,KAAK,EAAE,KAAK,CAAC,SAAS,CAAC,CAAC;CACzB,CAAC;AAEF,oBAAY,SAAS,GAAG,SAAS,GAAG,KAAK,CAAC,CAAC,SAAS,GAAG,SAAS,EAAE,SAAS,CAAC,CAAC,CAAC;AAE9E,oBAAY,SAAS,GAAG;IACtB,UAAU,EAAE,SAAS,CAAC;IACtB,MAAM,EAAE,SAAS,CAAC;IAClB,EAAE,CAAC,EAAE,MAAM,CAAC;IACZ,WAAW,EAAE,MAAM,CAAC;IACpB,IAAI,EAAE,QAAQ,CAAC;IACf,IAAI,EAAE,QAAQ,CAAC;IACf,MAAM,EAAE,aAAa,CAAC;IACtB,SAAS,CAAC,EAAE,MAAM,GAAG,IAAI,CAAC;IAC1B,QAAQ,CAAC,EAAE,MAAM,GAAG,IAAI,CAAC;IACzB,MAAM,CAAC,EAAE,UAAU,GAAG,IAAI,CAAC;IAC3B,OAAO,CAAC,EAAE,MAAM,CAAC;CAClB,CAAC"}
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/Config.d.ts b/node_modules/@jest/types/build/Config.d.ts
index 9a01c807a..f9f49a4d4 100644
--- a/node_modules/@jest/types/build/Config.d.ts
+++ b/node_modules/@jest/types/build/Config.d.ts
@@ -320,7 +320,7 @@ export declare type ProjectConfig = {
     testMatch: Array<Glob>;
     testLocationInResults: boolean;
     testPathIgnorePatterns: Array<string>;
-    testRegex: Array<string>;
+    testRegex: Array<string | RegExp>;
     testRunner: string;
     testURL: string;
     timers: 'real' | 'fake';
@@ -417,4 +417,3 @@ export declare type Argv = Arguments<Partial<{
     watchPathIgnorePatterns: Array<string>;
 }>>;
 export {};
-//# sourceMappingURL=Config.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/Config.d.ts.map b/node_modules/@jest/types/build/Config.d.ts.map
deleted file mode 100644
index f65b103d9..000000000
--- a/node_modules/@jest/types/build/Config.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/node_modules/@jest/types/build/Global.d.ts b/node_modules/@jest/types/build/Global.d.ts
index 8a0c2c5f4..37676d5e2 100644
--- a/node_modules/@jest/types/build/Global.d.ts
+++ b/node_modules/@jest/types/build/Global.d.ts
@@ -8,9 +8,10 @@
 import type { CoverageMapData } from 'istanbul-lib-coverage';
 export declare type DoneFn = (reason?: string | Error) => void;
 export declare type TestName = string;
-export declare type TestFn = (done?: DoneFn) => Promise<any> | void | undefined;
+export declare type TestFn = (done?: DoneFn) => Promise<void | undefined | unknown> | void | undefined;
 export declare type BlockFn = () => void;
 export declare type BlockName = string;
+export declare type HookFn = TestFn;
 export declare type Col = unknown;
 export declare type Row = Array<Col>;
 export declare type Table = Array<Row>;
@@ -51,7 +52,7 @@ export interface Describe extends DescribeBase {
     only: DescribeBase;
     skip: DescribeBase;
 }
-export interface GlobalAdditions {
+export interface TestFrameworkGlobals {
     it: ItConcurrent;
     test: ItConcurrent;
     fit: ItBase & {
@@ -62,6 +63,12 @@ export interface GlobalAdditions {
     describe: Describe;
     xdescribe: DescribeBase;
     fdescribe: DescribeBase;
+    beforeAll: HookFn;
+    beforeEach: HookFn;
+    afterEach: HookFn;
+    afterAll: HookFn;
+}
+export interface GlobalAdditions extends TestFrameworkGlobals {
     __coverage__: CoverageMapData;
     jasmine: Jasmine;
     fail: () => void;
@@ -74,4 +81,3 @@ export interface Global extends GlobalAdditions, NodeGlobalWithoutAdditions {
     [extras: string]: any;
 }
 export {};
-//# sourceMappingURL=Global.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/Global.d.ts.map b/node_modules/@jest/types/build/Global.d.ts.map
deleted file mode 100644
index beaa563f4..000000000
--- a/node_modules/@jest/types/build/Global.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"Global.d.ts","sourceRoot":"","sources":["../src/Global.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;;AAEH,OAAO,KAAK,EAAC,eAAe,EAAC,MAAM,uBAAuB,CAAC;AAE3D,oBAAY,MAAM,GAAG,CAAC,MAAM,CAAC,EAAE,MAAM,GAAG,KAAK,KAAK,IAAI,CAAC;AACvD,oBAAY,QAAQ,GAAG,MAAM,CAAC;AAC9B,oBAAY,MAAM,GAAG,CAAC,IAAI,CAAC,EAAE,MAAM,KAAK,OAAO,CAAC,GAAG,CAAC,GAAG,IAAI,GAAG,SAAS,CAAC;AACxE,oBAAY,OAAO,GAAG,MAAM,IAAI,CAAC;AACjC,oBAAY,SAAS,GAAG,MAAM,CAAC;AAE/B,oBAAY,GAAG,GAAG,OAAO,CAAC;AAC1B,oBAAY,GAAG,GAAG,KAAK,CAAC,GAAG,CAAC,CAAC;AAC7B,oBAAY,KAAK,GAAG,KAAK,CAAC,GAAG,CAAC,CAAC;AAC/B,oBAAY,UAAU,GAAG,KAAK,GAAG,GAAG,CAAC;AACrC,oBAAY,aAAa,GAAG,oBAAoB,CAAC;AACjD,oBAAY,YAAY,GAAG,KAAK,CAAC,OAAO,CAAC,CAAC;AAC1C,oBAAY,SAAS,GAAG,UAAU,GAAG,aAAa,CAAC;AACnD,oBAAY,UAAU,GAAG,CACvB,GAAG,IAAI,EAAE,KAAK,CAAC,GAAG,CAAC,KAChB,OAAO,CAAC,GAAG,CAAC,GAAG,IAAI,GAAG,SAAS,CAAC;AAGrC,aAAK,OAAO,GAAG;IAAC,yBAAyB,CAAC,EAAE,MAAM,CAAC;IAAC,WAAW,EAAE,QAAQ,CAAA;CAAC,CAAC;AAE3E,aAAK,IAAI,GAAG,CACV,KAAK,EAAE,SAAS,EAChB,GAAG,kBAAkB,EAAE,KAAK,CAAC,OAAO,CAAC,KAClC,CAAC,KAAK,EAAE,MAAM,EAAE,IAAI,EAAE,UAAU,EAAE,OAAO,CAAC,EAAE,MAAM,KAAK,IAAI,CAAC;AAEjE,MAAM,WAAW,MAAM;IACrB,CAAC,QAAQ,EAAE,QAAQ,EAAE,EAAE,EAAE,MAAM,EAAE,OAAO,CAAC,EAAE,MAAM,GAAG,IAAI,CAAC;IACzD,IAAI,EAAE,IAAI,CAAC;CACZ;AAED,MAAM,WAAW,EAAG,SAAQ,MAAM;IAChC,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,MAAM,CAAC;IACb,IAAI,EAAE,CAAC,QAAQ,EAAE,QAAQ,EAAE,GAAG,IAAI,EAAE,KAAK,CAAC,GAAG,CAAC,KAAK,IAAI,CAAC;CACzD;AAED,MAAM,WAAW,gBAAgB;IAC/B,CAAC,QAAQ,EAAE,MAAM,EAAE,MAAM,EAAE,MAAM,OAAO,CAAC,GAAG,CAAC,EAAE,OAAO,CAAC,EAAE,MAAM,GAAG,IAAI,CAAC;CACxE;AAED,MAAM,WAAW,oBAAqB,SAAQ,gBAAgB;IAC5D,IAAI,EAAE,gBAAgB,CAAC;IACvB,IAAI,EAAE,gBAAgB,CAAC;CACxB;AAED,MAAM,WAAW,YAAa,SAAQ,EAAE;IACtC,UAAU,EAAE,oBAAoB,CAAC;CAClC;AAED,MAAM,WAAW,YAAY;IAC3B,CAAC,SAAS,EAAE,SAAS,EAAE,OAAO,EAAE,OAAO,GAAG,IAAI,CAAC;IAC/C,IAAI,EAAE,IAAI,CAAC;CACZ;AAED,MAAM,WAAW,QAAS,SAAQ,YAAY;IAC5C,IAAI,EAAE,YAAY,CAAC;IACnB,IAAI,EAAE,YAAY,CAAC;CACpB;AAGD,MAAM,WAAW,eAAe;IAC9B,EAAE,EAAE,YAAY,CAAC;IACjB,IAAI,EAAE,YAAY,CAAC;IACnB,GAAG,EAAE,MAAM,GAAG;QAAC,UAAU,CAAC,EAAE,gBAAgB,CAAA;KAAC,CAAC;IAC9C,GAAG,EAAE,MAAM,CAAC;IACZ,KAAK,EAAE,MAAM,CAAC;IACd,QAAQ,EAAE,QAAQ,CAAC;IACnB,SAAS,EAAE,YAAY,CAAC;IACxB,SAAS,EAAE,YAAY,CAAC;IACxB,YAAY,EAAE,eAAe,CAAC;IAC9B,OAAO,EAAE,OAAO,CAAC;IACjB,IAAI,EAAE,MAAM,IAAI,CAAC;IACjB,OAAO,EAAE,MAAM,IAAI,CAAC;IACpB,KAAK,EAAE,MAAM,IAAI,CAAC;IAClB,aAAa,EAAE,MAAM,IAAI,CAAC;CAC3B;AAGD,aAAK,0BAA0B,GAAG,IAAI,CAAC,MAAM,CAAC,MAAM,EAAE,MAAM,eAAe,CAAC,CAAC;AAE7E,MAAM,WAAW,MAAO,SAAQ,eAAe,EAAE,0BAA0B;IACzE,CAAC,MAAM,EAAE,MAAM,GAAG,GAAG,CAAC;CACvB"}
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/TestResult.d.ts b/node_modules/@jest/types/build/TestResult.d.ts
index 7b38ce654..560216c9e 100644
--- a/node_modules/@jest/types/build/TestResult.d.ts
+++ b/node_modules/@jest/types/build/TestResult.d.ts
@@ -28,4 +28,3 @@ export declare type SerializableError = {
     type?: string;
 };
 export {};
-//# sourceMappingURL=TestResult.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/TestResult.d.ts.map b/node_modules/@jest/types/build/TestResult.d.ts.map
deleted file mode 100644
index cee3e1cd0..000000000
--- a/node_modules/@jest/types/build/TestResult.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"TestResult.d.ts","sourceRoot":"","sources":["../src/TestResult.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;AAEH,oBAAY,YAAY,GAAG,MAAM,CAAC;AAElC,aAAK,MAAM,GAAG,QAAQ,GAAG,QAAQ,GAAG,SAAS,GAAG,SAAS,GAAG,MAAM,GAAG,UAAU,CAAC;AAEhF,aAAK,QAAQ,GAAG;IACd,MAAM,EAAE,MAAM,CAAC;IACf,IAAI,EAAE,MAAM,CAAC;CACd,CAAC;AAGF,oBAAY,eAAe,GAAG;IAC5B,cAAc,EAAE,KAAK,CAAC,MAAM,CAAC,CAAC;IAC9B,QAAQ,CAAC,EAAE,YAAY,GAAG,IAAI,CAAC;IAC/B,eAAe,EAAE,KAAK,CAAC,MAAM,CAAC,CAAC;IAC/B,QAAQ,EAAE,MAAM,CAAC;IACjB,WAAW,CAAC,EAAE,MAAM,CAAC;IACrB,QAAQ,CAAC,EAAE,QAAQ,GAAG,IAAI,CAAC;IAC3B,iBAAiB,EAAE,MAAM,CAAC;IAC1B,MAAM,EAAE,MAAM,CAAC;IACf,KAAK,EAAE,MAAM,CAAC;CACf,CAAC;AAEF,oBAAY,iBAAiB,GAAG;IAC9B,IAAI,CAAC,EAAE,OAAO,CAAC;IACf,OAAO,EAAE,MAAM,CAAC;IAChB,KAAK,EAAE,MAAM,GAAG,IAAI,GAAG,SAAS,CAAC;IACjC,IAAI,CAAC,EAAE,MAAM,CAAC;CACf,CAAC"}
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/Transform.d.ts b/node_modules/@jest/types/build/Transform.d.ts
index 176606c65..af8063f7d 100644
--- a/node_modules/@jest/types/build/Transform.d.ts
+++ b/node_modules/@jest/types/build/Transform.d.ts
@@ -7,7 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
-//# sourceMappingURL=Transform.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/Transform.d.ts.map b/node_modules/@jest/types/build/Transform.d.ts.map
deleted file mode 100644
index ffa748a13..000000000
--- a/node_modules/@jest/types/build/Transform.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"Transform.d.ts","sourceRoot":"","sources":["../src/Transform.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;AAGH,oBAAY,eAAe,GAAG;IAC5B,IAAI,EAAE,MAAM,CAAC;IACb,YAAY,EAAE,MAAM,CAAC;IACrB,WAAW,EAAE,OAAO,CAAC;IACrB,aAAa,EAAE,MAAM,GAAG,IAAI,CAAC;CAC9B,CAAC"}
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/index.d.ts b/node_modules/@jest/types/build/index.d.ts
index 79f8ca377..be82158e4 100644
--- a/node_modules/@jest/types/build/index.d.ts
+++ b/node_modules/@jest/types/build/index.d.ts
@@ -10,4 +10,3 @@ import type * as Global from './Global';
 import type * as TestResult from './TestResult';
 import type * as TransformTypes from './Transform';
 export type { Circus, Config, Global, TestResult, TransformTypes };
-//# sourceMappingURL=index.d.ts.map
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/index.d.ts.map b/node_modules/@jest/types/build/index.d.ts.map
deleted file mode 100644
index bdb5033e7..000000000
--- a/node_modules/@jest/types/build/index.d.ts.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../src/index.ts"],"names":[],"mappings":"AAAA;;;;;GAKG;AAEH,OAAO,KAAK,KAAK,MAAM,MAAM,UAAU,CAAC;AACxC,OAAO,KAAK,KAAK,MAAM,MAAM,UAAU,CAAC;AACxC,OAAO,KAAK,KAAK,MAAM,MAAM,UAAU,CAAC;AACxC,OAAO,KAAK,KAAK,UAAU,MAAM,cAAc,CAAC;AAChD,OAAO,KAAK,KAAK,cAAc,MAAM,aAAa,CAAC;AAEnD,YAAY,EAAC,MAAM,EAAE,MAAM,EAAE,MAAM,EAAE,UAAU,EAAE,cAAc,EAAC,CAAC"}
\ No newline at end of file
diff --git a/node_modules/@jest/types/build/ts3.4/Circus.d.ts b/node_modules/@jest/types/build/ts3.4/Circus.d.ts
index 444f9539c..a5fac78b1 100644
--- a/node_modules/@jest/types/build/ts3.4/Circus.d.ts
+++ b/node_modules/@jest/types/build/ts3.4/Circus.d.ts
@@ -15,7 +15,7 @@ export declare type BlockMode = void | 'skip' | 'only' | 'todo';
 export declare type TestMode = BlockMode;
 export declare type TestName = Global.TestName;
 export declare type TestFn = Global.TestFn;
-export declare type HookFn = (done?: DoneFn) => Promise<any> | null | undefined;
+export declare type HookFn = Global.HookFn;
 export declare type AsyncFn = TestFn | HookFn;
 export declare type SharedHookType = 'afterAll' | 'beforeAll';
 export declare type HookType = SharedHookType | 'afterEach' | 'beforeEach';
@@ -29,10 +29,12 @@ export declare type Hook = {
     parent: DescribeBlock;
     timeout: number | undefined | null;
 };
-export declare type EventHandler = (event: Event, state: State) => void;
-export declare type Event = {
-    name: 'include_test_location_in_result';
-} | {
+export interface EventHandler {
+    (event: AsyncEvent, state: State): void | Promise<void>;
+    (event: SyncEvent, state: State): void;
+}
+export declare type Event = SyncEvent | AsyncEvent;
+export declare type SyncEvent = {
     asyncError: Error;
     mode: BlockMode;
     name: 'start_describe_definition';
@@ -54,6 +56,16 @@ export declare type Event = {
     fn?: TestFn;
     mode?: TestMode;
     timeout: number | undefined;
+} | {
+    name: 'error';
+    error: Exception;
+};
+export declare type AsyncEvent = {
+    name: 'setup';
+    testNamePattern?: string;
+    parentProcess: Process;
+} | {
+    name: 'include_test_location_in_result';
 } | {
     name: 'hook_start';
     hook: Hook;
@@ -103,13 +115,6 @@ export declare type Event = {
     name: 'run_start';
 } | {
     name: 'run_finish';
-} | {
-    name: 'error';
-    error: Exception;
-} | {
-    name: 'setup';
-    testNamePattern?: string;
-    parentProcess: Process;
 } | {
     name: 'teardown';
 };
@@ -170,4 +175,3 @@ export declare type TestEntry = {
     timeout?: number;
 };
 export {};
-//# sourceMappingURL=Circus.d.ts.map
diff --git a/node_modules/@jest/types/build/ts3.4/Config.d.ts b/node_modules/@jest/types/build/ts3.4/Config.d.ts
index 58a5008c0..311db3386 100644
--- a/node_modules/@jest/types/build/ts3.4/Config.d.ts
+++ b/node_modules/@jest/types/build/ts3.4/Config.d.ts
@@ -321,7 +321,7 @@ export declare type ProjectConfig = {
     testMatch: Array<Glob>;
     testLocationInResults: boolean;
     testPathIgnorePatterns: Array<string>;
-    testRegex: Array<string>;
+    testRegex: Array<string | RegExp>;
     testRunner: string;
     testURL: string;
     timers: 'real' | 'fake';
@@ -418,4 +418,3 @@ export declare type Argv = Arguments<Partial<{
     watchPathIgnorePatterns: Array<string>;
 }>>;
 export {};
-//# sourceMappingURL=Config.d.ts.map
diff --git a/node_modules/@jest/types/build/ts3.4/Global.d.ts b/node_modules/@jest/types/build/ts3.4/Global.d.ts
index 00f9dd162..51968140a 100644
--- a/node_modules/@jest/types/build/ts3.4/Global.d.ts
+++ b/node_modules/@jest/types/build/ts3.4/Global.d.ts
@@ -9,9 +9,10 @@
 import { CoverageMapData } from 'istanbul-lib-coverage';
 export declare type DoneFn = (reason?: string | Error) => void;
 export declare type TestName = string;
-export declare type TestFn = (done?: DoneFn) => Promise<any> | void | undefined;
+export declare type TestFn = (done?: DoneFn) => Promise<void | undefined | unknown> | void | undefined;
 export declare type BlockFn = () => void;
 export declare type BlockName = string;
+export declare type HookFn = TestFn;
 export declare type Col = unknown;
 export declare type Row = Array<Col>;
 export declare type Table = Array<Row>;
@@ -52,7 +53,7 @@ export interface Describe extends DescribeBase {
     only: DescribeBase;
     skip: DescribeBase;
 }
-export interface GlobalAdditions {
+export interface TestFrameworkGlobals {
     it: ItConcurrent;
     test: ItConcurrent;
     fit: ItBase & {
@@ -63,6 +64,12 @@ export interface GlobalAdditions {
     describe: Describe;
     xdescribe: DescribeBase;
     fdescribe: DescribeBase;
+    beforeAll: HookFn;
+    beforeEach: HookFn;
+    afterEach: HookFn;
+    afterAll: HookFn;
+}
+export interface GlobalAdditions extends TestFrameworkGlobals {
     __coverage__: CoverageMapData;
     jasmine: Jasmine;
     fail: () => void;
@@ -75,4 +82,3 @@ export interface Global extends GlobalAdditions, NodeGlobalWithoutAdditions {
     [extras: string]: any;
 }
 export {};
-//# sourceMappingURL=Global.d.ts.map
diff --git a/node_modules/@jest/types/build/ts3.4/TestResult.d.ts b/node_modules/@jest/types/build/ts3.4/TestResult.d.ts
index 2461c6336..4c08812de 100644
--- a/node_modules/@jest/types/build/ts3.4/TestResult.d.ts
+++ b/node_modules/@jest/types/build/ts3.4/TestResult.d.ts
@@ -28,4 +28,3 @@ export declare type SerializableError = {
     type?: string;
 };
 export {};
-//# sourceMappingURL=TestResult.d.ts.map
diff --git a/node_modules/@jest/types/build/ts3.4/Transform.d.ts b/node_modules/@jest/types/build/ts3.4/Transform.d.ts
index 57f6a0cf1..231ae24ca 100644
--- a/node_modules/@jest/types/build/ts3.4/Transform.d.ts
+++ b/node_modules/@jest/types/build/ts3.4/Transform.d.ts
@@ -7,7 +7,6 @@
 export declare type TransformResult = {
     code: string;
     originalCode: string;
-    mapCoverage: boolean;
+    mapCoverage?: boolean;
     sourceMapPath: string | null;
 };
-//# sourceMappingURL=Transform.d.ts.map
diff --git a/node_modules/@jest/types/build/ts3.4/index.d.ts b/node_modules/@jest/types/build/ts3.4/index.d.ts
index 717fb1087..28add33e4 100644
--- a/node_modules/@jest/types/build/ts3.4/index.d.ts
+++ b/node_modules/@jest/types/build/ts3.4/index.d.ts
@@ -10,4 +10,3 @@ import * as Global from './Global';
 import * as TestResult from './TestResult';
 import * as TransformTypes from './Transform';
 export { Circus, Config, Global, TestResult, TransformTypes };
-//# sourceMappingURL=index.d.ts.map
diff --git a/node_modules/@jest/types/node_modules/ansi-styles/package.json b/node_modules/@jest/types/node_modules/ansi-styles/package.json
index 85b26677f..b1b5db287 100644
--- a/node_modules/@jest/types/node_modules/ansi-styles/package.json
+++ b/node_modules/@jest/types/node_modules/ansi-styles/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "ansi-styles@4.2.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.2.1.tgz",
   "_spec": "4.2.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/types/node_modules/chalk/package.json b/node_modules/@jest/types/node_modules/chalk/package.json
index 5e3561b7d..a147c97da 100644
--- a/node_modules/@jest/types/node_modules/chalk/package.json
+++ b/node_modules/@jest/types/node_modules/chalk/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "chalk@3.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/chalk/-/chalk-3.0.0.tgz",
   "_spec": "3.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/chalk/chalk/issues"
   },
diff --git a/node_modules/@jest/types/node_modules/color-convert/package.json b/node_modules/@jest/types/node_modules/color-convert/package.json
index 32d82077d..f46761cc8 100644
--- a/node_modules/@jest/types/node_modules/color-convert/package.json
+++ b/node_modules/@jest/types/node_modules/color-convert/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-convert@2.0.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz",
   "_spec": "2.0.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Heather Arthur",
     "email": "fayearthur@gmail.com"
diff --git a/node_modules/@jest/types/node_modules/color-name/package.json b/node_modules/@jest/types/node_modules/color-name/package.json
index 31099a5d2..68d07b22c 100644
--- a/node_modules/@jest/types/node_modules/color-name/package.json
+++ b/node_modules/@jest/types/node_modules/color-name/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "color-name@1.1.4",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz",
   "_spec": "1.1.4",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "DY",
     "email": "dfcreative@gmail.com"
diff --git a/node_modules/@jest/types/node_modules/has-flag/package.json b/node_modules/@jest/types/node_modules/has-flag/package.json
index 2a5b146c1..8059f8d22 100644
--- a/node_modules/@jest/types/node_modules/has-flag/package.json
+++ b/node_modules/@jest/types/node_modules/has-flag/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "has-flag@4.0.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
   "_spec": "4.0.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/types/node_modules/supports-color/package.json b/node_modules/@jest/types/node_modules/supports-color/package.json
index e610b16e1..6c8984e2c 100644
--- a/node_modules/@jest/types/node_modules/supports-color/package.json
+++ b/node_modules/@jest/types/node_modules/supports-color/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "supports-color@7.1.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.1.0.tgz",
   "_spec": "7.1.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": {
     "name": "Sindre Sorhus",
     "email": "sindresorhus@gmail.com",
diff --git a/node_modules/@jest/types/package.json b/node_modules/@jest/types/package.json
index 809469f92..faf82eac0 100644
--- a/node_modules/@jest/types/package.json
+++ b/node_modules/@jest/types/package.json
@@ -1,15 +1,15 @@
 {
   "_args": [
     [
-      "@jest/types@25.2.6",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@jest/types@25.5.0",
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
-  "_from": "@jest/types@25.2.6",
-  "_id": "@jest/types@25.2.6",
+  "_from": "@jest/types@25.5.0",
+  "_id": "@jest/types@25.5.0",
   "_inBundle": false,
-  "_integrity": "sha512-myJTTV37bxK7+3NgKc4Y/DlQ5q92/NOwZsZ+Uch7OXdElxOg61QYc72fPYNAjlvbnJ2YvbXLamIsa9tj48BmyQ==",
+  "_integrity": "sha512-OXD0RgQ86Tu3MazKo8bnrkDRaDXXMGUqd+kTtLtK1Zb7CRzQcaSRPPPV37SvYTdevXEBVxe0HXylEjs8ibkmCw==",
   "_location": "/@jest/types",
   "_phantomChildren": {
     "@types/color-name": "1.1.1"
@@ -17,20 +17,20 @@
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@jest/types@25.2.6",
+    "raw": "@jest/types@25.5.0",
     "name": "@jest/types",
     "escapedName": "@jest%2ftypes",
     "scope": "@jest",
-    "rawSpec": "25.2.6",
+    "rawSpec": "25.5.0",
     "saveSpec": null,
-    "fetchSpec": "25.2.6"
+    "fetchSpec": "25.5.0"
   },
   "_requiredBy": [
     "/pretty-format"
   ],
-  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.2.6.tgz",
-  "_spec": "25.2.6",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@jest/types/-/types-25.5.0.tgz",
+  "_spec": "25.5.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/facebook/jest/issues"
   },
@@ -46,7 +46,7 @@
   "engines": {
     "node": ">= 8.3"
   },
-  "gitHead": "43207b743df164e9e58bd483dd9167b9084da18b",
+  "gitHead": "ddd73d18adfb982b9b0d94bad7d41c9f78567ca7",
   "homepage": "https://github.com/facebook/jest#readme",
   "license": "MIT",
   "main": "build/index.js",
@@ -67,5 +67,5 @@
       ]
     }
   },
-  "version": "25.2.6"
+  "version": "25.5.0"
 }
diff --git a/node_modules/@octokit/auth-token/README.md b/node_modules/@octokit/auth-token/README.md
index ff80003aa..8ea6a03bc 100644
--- a/node_modules/@octokit/auth-token/README.md
+++ b/node_modules/@octokit/auth-token/README.md
@@ -3,8 +3,7 @@
 > GitHub API token authentication for browsers and Node.js
 
 [![@latest](https://img.shields.io/npm/v/@octokit/auth-token.svg)](https://www.npmjs.com/package/@octokit/auth-token)
-[![Build Status](https://travis-ci.com/octokit/auth-token.js.svg?branch=master)](https://travis-ci.com/octokit/auth-token.js)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/auth-token.js.svg)](https://greenkeeper.io/)
+[![Build Status](https://github.com/octokit/auth-token.js/workflows/Test/badge.svg)](https://github.com/octokit/auth-token.js/actions?query=workflow%3ATest)
 
 `@octokit/auth-token` is the simplest of [GitHub’s authentication strategies](https://github.com/octokit/auth.js).
 
@@ -12,6 +11,20 @@ It is useful if you want to support multiple authentication strategies, as it’
 
 <!-- toc -->
 
+- [Usage](#usage)
+- [`createTokenAuth(token) options`](#createtokenauthtoken-options)
+- [`auth()`](#auth)
+- [Authentication object](#authentication-object)
+- [`auth.hook(request, route, options)` or `auth.hook(request, options)`](#authhookrequest-route-options-or-authhookrequest-options)
+- [Find more information](#find-more-information)
+  - [Find out what scopes are enabled for oauth tokens](#find-out-what-scopes-are-enabled-for-oauth-tokens)
+  - [Find out if token is a personal access token or if it belongs to an OAuth app](#find-out-if-token-is-a-personal-access-token-or-if-it-belongs-to-an-oauth-app)
+  - [Find out what permissions are enabled for a repository](#find-out-what-permissions-are-enabled-for-a-repository)
+  - [Use token for git operations](#use-token-for-git-operations)
+- [License](#license)
+
+<!-- tocstop -->
+
 ## Usage
 
 <table>
@@ -149,8 +162,8 @@ Or it can be passed as option to [`request()`](https://github.com/octokit/reques
 ```js
 const requestWithAuth = request.defaults({
   request: {
-    hook: auth.hook
-  }
+    hook: auth.hook,
+  },
 });
 
 const { data: authorizations } = await requestWithAuth("GET /authorizations");
@@ -173,7 +186,7 @@ const auth = createTokenAuth(TOKEN);
 const authentication = await auth();
 
 const response = await request("HEAD /", {
-  headers: authentication.headers
+  headers: authentication.headers,
 });
 const scopes = response.headers["x-oauth-scopes"].split(/,\s+/);
 
@@ -195,7 +208,7 @@ const auth = createTokenAuth(TOKEN);
 const authentication = await auth();
 
 const response = await request("HEAD /", {
-  headers: authentication.headers
+  headers: authentication.headers,
 });
 const clientId = response.headers["x-oauth-client-id"];
 
diff --git a/node_modules/@octokit/auth-token/dist-node/index.js.map b/node_modules/@octokit/auth-token/dist-node/index.js.map
index 90abf8972..8a92b69bb 100644
--- a/node_modules/@octokit/auth-token/dist-node/index.js.map
+++ b/node_modules/@octokit/auth-token/dist-node/index.js.map
@@ -1 +1 @@
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+{"version":3,"file":"index.js","sources":["../dist-src/auth.js","../dist-src/with-authorization-prefix.js","../dist-src/hook.js","../dist-src/index.js"],"sourcesContent":["export async function auth(token) {\n    const tokenType = token.split(/\\./).length === 3\n        ? \"app\"\n        : /^v\\d+\\./.test(token)\n            ? \"installation\"\n            : \"oauth\";\n    return {\n        type: \"token\",\n        token: token,\n        tokenType\n    };\n}\n","/**\n * Prefix token for usage in the Authorization header\n *\n * @param token OAuth token or JSON Web Token\n */\nexport function withAuthorizationPrefix(token) {\n    if (token.split(/\\./).length === 3) {\n        return `bearer ${token}`;\n    }\n    return `token ${token}`;\n}\n","import { withAuthorizationPrefix } from \"./with-authorization-prefix\";\nexport async function hook(token, request, route, parameters) {\n    const endpoint = request.endpoint.merge(route, parameters);\n    endpoint.headers.authorization = withAuthorizationPrefix(token);\n    return request(endpoint);\n}\n","import { auth } from \"./auth\";\nimport { hook } from \"./hook\";\nexport const createTokenAuth = function createTokenAuth(token) {\n    if (!token) {\n        throw new Error(\"[@octokit/auth-token] No token passed to createTokenAuth\");\n    }\n    if (typeof token !== \"string\") {\n        throw new Error(\"[@octokit/auth-token] Token passed to createTokenAuth is not a string\");\n    }\n    token = token.replace(/^(token|bearer) +/i, \"\");\n    return Object.assign(auth.bind(null, token), {\n        hook: hook.bind(null, token)\n    });\n};\n"],"names":["auth","token","tokenType","split","length","test","type","withAuthorizationPrefix","hook","request","route","parameters","endpoint","merge","headers","authorization","createTokenAuth","Error","replace","Object","assign","bind"],"mappings":";;;;AAAO,eAAeA,IAAf,CAAoBC,KAApB,EAA2B;AAC9B,QAAMC,SAAS,GAAGD,KAAK,CAACE,KAAN,CAAY,IAAZ,EAAkBC,MAAlB,KAA6B,CAA7B,GACZ,KADY,GAEZ,UAAUC,IAAV,CAAeJ,KAAf,IACI,cADJ,GAEI,OAJV;AAKA,SAAO;AACHK,IAAAA,IAAI,EAAE,OADH;AAEHL,IAAAA,KAAK,EAAEA,KAFJ;AAGHC,IAAAA;AAHG,GAAP;AAKH;;ACXD;;;;;AAKA,AAAO,SAASK,uBAAT,CAAiCN,KAAjC,EAAwC;AAC3C,MAAIA,KAAK,CAACE,KAAN,CAAY,IAAZ,EAAkBC,MAAlB,KAA6B,CAAjC,EAAoC;AAChC,WAAQ,UAASH,KAAM,EAAvB;AACH;;AACD,SAAQ,SAAQA,KAAM,EAAtB;AACH;;ACTM,eAAeO,IAAf,CAAoBP,KAApB,EAA2BQ,OAA3B,EAAoCC,KAApC,EAA2CC,UAA3C,EAAuD;AAC1D,QAAMC,QAAQ,GAAGH,OAAO,CAACG,QAAR,CAAiBC,KAAjB,CAAuBH,KAAvB,EAA8BC,UAA9B,CAAjB;AACAC,EAAAA,QAAQ,CAACE,OAAT,CAAiBC,aAAjB,GAAiCR,uBAAuB,CAACN,KAAD,CAAxD;AACA,SAAOQ,OAAO,CAACG,QAAD,CAAd;AACH;;MCHYI,eAAe,GAAG,SAASA,eAAT,CAAyBf,KAAzB,EAAgC;AAC3D,MAAI,CAACA,KAAL,EAAY;AACR,UAAM,IAAIgB,KAAJ,CAAU,0DAAV,CAAN;AACH;;AACD,MAAI,OAAOhB,KAAP,KAAiB,QAArB,EAA+B;AAC3B,UAAM,IAAIgB,KAAJ,CAAU,uEAAV,CAAN;AACH;;AACDhB,EAAAA,KAAK,GAAGA,KAAK,CAACiB,OAAN,CAAc,oBAAd,EAAoC,EAApC,CAAR;AACA,SAAOC,MAAM,CAACC,MAAP,CAAcpB,IAAI,CAACqB,IAAL,CAAU,IAAV,EAAgBpB,KAAhB,CAAd,EAAsC;AACzCO,IAAAA,IAAI,EAAEA,IAAI,CAACa,IAAL,CAAU,IAAV,EAAgBpB,KAAhB;AADmC,GAAtC,CAAP;AAGH,CAXM;;;;"}
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diff --git a/node_modules/@octokit/auth-token/dist-web/index.js.map b/node_modules/@octokit/auth-token/dist-web/index.js.map
index 7814a3f53..60de4a6be 100644
--- a/node_modules/@octokit/auth-token/dist-web/index.js.map
+++ b/node_modules/@octokit/auth-token/dist-web/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/auth.js","../dist-src/with-authorization-prefix.js","../dist-src/hook.js","../dist-src/index.js"],"sourcesContent":["export async function auth(token) {\n    const tokenType = token.split(/\\./).length === 3\n        ? \"app\"\n        : /^v\\d+\\./.test(token)\n            ? \"installation\"\n            : \"oauth\";\n    return {\n        type: \"token\",\n        token: token,\n        tokenType\n    };\n}\n","/**\n * Prefix token for usage in the Authorization header\n *\n * @param token OAuth token or JSON Web Token\n */\nexport function withAuthorizationPrefix(token) {\n    if (token.split(/\\./).length === 3) {\n        return `bearer ${token}`;\n    }\n    return `token ${token}`;\n}\n","import { withAuthorizationPrefix } from \"./with-authorization-prefix\";\nexport async function hook(token, request, route, parameters) {\n    const endpoint = request.endpoint.merge(route, parameters);\n    endpoint.headers.authorization = withAuthorizationPrefix(token);\n    return request(endpoint);\n}\n","import { auth } from \"./auth\";\nimport { hook } from \"./hook\";\nexport const createTokenAuth = function createTokenAuth(token) {\n    if (!token) {\n        throw new Error(\"[@octokit/auth-token] No token passed to createTokenAuth\");\n    }\n    if (typeof token !== \"string\") {\n        throw new Error(\"[@octokit/auth-token] Token passed to createTokenAuth is not a string\");\n    }\n    token = token.replace(/^(token|bearer) +/i, \"\");\n    return Object.assign(auth.bind(null, token), {\n        hook: hook.bind(null, token)\n    });\n};\n"],"names":[],"mappings":"AAAO,eAAe,IAAI,CAAC,KAAK,EAAE;IAC9B,MAAM,SAAS,GAAG,KAAK,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC,MAAM,KAAK,CAAC;UAC1C,KAAK;UACL,SAAS,CAAC,IAAI,CAAC,KAAK,CAAC;cACjB,cAAc;cACd,OAAO,CAAC;IAClB,OAAO;QACH,IAAI,EAAE,OAAO;QACb,KAAK,EAAE,KAAK;QACZ,SAAS;KACZ,CAAC;CACL;;ACXD;;;;;AAKA,AAAO,SAAS,uBAAuB,CAAC,KAAK,EAAE;IAC3C,IAAI,KAAK,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC,MAAM,KAAK,CAAC,EAAE;QAChC,OAAO,CAAC,OAAO,EAAE,KAAK,CAAC,CAAC,CAAC;KAC5B;IACD,OAAO,CAAC,MAAM,EAAE,KAAK,CAAC,CAAC,CAAC;CAC3B;;ACTM,eAAe,IAAI,CAAC,KAAK,EAAE,OAAO,EAAE,KAAK,EAAE,UAAU,EAAE;IAC1D,MAAM,QAAQ,GAAG,OAAO,CAAC,QAAQ,CAAC,KAAK,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC;IAC3D,QAAQ,CAAC,OAAO,CAAC,aAAa,GAAG,uBAAuB,CAAC,KAAK,CAAC,CAAC;IAChE,OAAO,OAAO,CAAC,QAAQ,CAAC,CAAC;CAC5B;;ACHW,MAAC,eAAe,GAAG,SAAS,eAAe,CAAC,KAAK,EAAE;IAC3D,IAAI,CAAC,KAAK,EAAE;QACR,MAAM,IAAI,KAAK,CAAC,0DAA0D,CAAC,CAAC;KAC/E;IACD,IAAI,OAAO,KAAK,KAAK,QAAQ,EAAE;QAC3B,MAAM,IAAI,KAAK,CAAC,uEAAuE,CAAC,CAAC;KAC5F;IACD,KAAK,GAAG,KAAK,CAAC,OAAO,CAAC,oBAAoB,EAAE,EAAE,CAAC,CAAC;IAChD,OAAO,MAAM,CAAC,MAAM,CAAC,IAAI,CAAC,IAAI,CAAC,IAAI,EAAE,KAAK,CAAC,EAAE;QACzC,IAAI,EAAE,IAAI,CAAC,IAAI,CAAC,IAAI,EAAE,KAAK,CAAC;KAC/B,CAAC,CAAC;CACN;;;;"}
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diff --git a/node_modules/@octokit/auth-token/package.json b/node_modules/@octokit/auth-token/package.json
index 34eda22b2..3b59df773 100644
--- a/node_modules/@octokit/auth-token/package.json
+++ b/node_modules/@octokit/auth-token/package.json
@@ -1,53 +1,54 @@
 {
   "_args": [
     [
-      "@octokit/auth-token@2.4.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "@octokit/auth-token@2.4.2",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@octokit/auth-token@2.4.0",
-  "_id": "@octokit/auth-token@2.4.0",
+  "_from": "@octokit/auth-token@2.4.2",
+  "_id": "@octokit/auth-token@2.4.2",
   "_inBundle": false,
-  "_integrity": "sha512-eoOVMjILna7FVQf96iWc3+ZtE/ZT6y8ob8ZzcqKY1ibSQCnu4O/B7pJvzMx5cyZ/RjAff6DAdEb0O0Cjcxidkg==",
+  "_integrity": "sha512-jE/lE/IKIz2v1+/P0u4fJqv0kYwXOTujKemJMFr6FeopsxlIK3+wKDCJGnysg81XID5TgZQbIfuJ5J0lnTiuyQ==",
   "_location": "/@octokit/auth-token",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@octokit/auth-token@2.4.0",
+    "raw": "@octokit/auth-token@2.4.2",
     "name": "@octokit/auth-token",
     "escapedName": "@octokit%2fauth-token",
     "scope": "@octokit",
-    "rawSpec": "2.4.0",
+    "rawSpec": "2.4.2",
     "saveSpec": null,
-    "fetchSpec": "2.4.0"
+    "fetchSpec": "2.4.2"
   },
   "_requiredBy": [
-    "/@octokit/rest"
+    "/@octokit/core"
   ],
-  "_resolved": "https://registry.npmjs.org/@octokit/auth-token/-/auth-token-2.4.0.tgz",
-  "_spec": "2.4.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@octokit/auth-token/-/auth-token-2.4.2.tgz",
+  "_spec": "2.4.2",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/octokit/auth-token.js/issues"
   },
   "dependencies": {
-    "@octokit/types": "^2.0.0"
+    "@octokit/types": "^5.0.0"
   },
   "description": "GitHub API token authentication for browsers and Node.js",
   "devDependencies": {
+    "@octokit/core": "^2.2.0",
     "@octokit/request": "^5.3.0",
     "@pika/pack": "^0.5.0",
-    "@pika/plugin-build-node": "^0.7.0",
-    "@pika/plugin-build-web": "^0.7.0",
-    "@pika/plugin-ts-standard-pkg": "^0.7.0",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
     "@types/fetch-mock": "^7.3.1",
-    "@types/jest": "^24.0.13",
-    "fetch-mock": "^7.3.7",
-    "jest": "^24.8.0",
-    "semantic-release": "^15.13.12",
-    "ts-jest": "^24.0.2",
-    "typescript": "^3.5.1"
+    "@types/jest": "^26.0.0",
+    "fetch-mock": "^9.0.0",
+    "jest": "^25.1.0",
+    "semantic-release": "^17.0.0",
+    "ts-jest": "^25.1.0",
+    "typescript": "^3.7.2"
   },
   "files": [
     "dist-*/",
@@ -75,5 +76,5 @@
   "sideEffects": false,
   "source": "dist-src/index.js",
   "types": "dist-types/index.d.ts",
-  "version": "2.4.0"
+  "version": "2.4.2"
 }
diff --git a/node_modules/@octokit/core/LICENSE b/node_modules/@octokit/core/LICENSE
new file mode 100644
index 000000000..ef2c18ee5
--- /dev/null
+++ b/node_modules/@octokit/core/LICENSE
@@ -0,0 +1,21 @@
+The MIT License
+
+Copyright (c) 2019 Octokit contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
diff --git a/node_modules/@octokit/core/README.md b/node_modules/@octokit/core/README.md
new file mode 100644
index 000000000..001433165
--- /dev/null
+++ b/node_modules/@octokit/core/README.md
@@ -0,0 +1,438 @@
+# core.js
+
+> Extendable client for GitHub's REST & GraphQL APIs
+
+[![@latest](https://img.shields.io/npm/v/@octokit/core.svg)](https://www.npmjs.com/package/@octokit/core)
+[![Build Status](https://github.com/octokit/core.js/workflows/Test/badge.svg)](https://github.com/octokit/core.js/actions?query=workflow%3ATest+branch%3Amaster)
+
+<!-- toc -->
+
+- [Usage](#usage)
+  - [REST API example](#rest-api-example)
+  - [GraphQL example](#graphql-example)
+- [Options](#options)
+- [Defaults](#defaults)
+- [Authentication](#authentication)
+- [Logging](#logging)
+- [Hooks](#hooks)
+- [Plugins](#plugins)
+- [Build your own Octokit with Plugins and Defaults](#build-your-own-octokit-with-plugins-and-defaults)
+- [LICENSE](#license)
+
+<!-- tocstop -->
+
+If you need a minimalistic library to utilize GitHub's [REST API](https://developer.github.com/v3/) and [GraphQL API](https://developer.github.com/v4/) which you can extend with plugins as needed, then `@octokit/core` is a great starting point.
+
+If you don't need the Plugin API then using [`@octokit/request`](https://github.com/octokit/request.js/) or [`@octokit/graphql`](https://github.com/octokit/graphql.js/) directly is a good alternative.
+
+## Usage
+
+<table>
+<tbody valign=top align=left>
+<tr><th>
+Browsers
+</th><td width=100%>
+Load <code>@octokit/core</code> directly from <a href="https://cdn.pika.dev">cdn.pika.dev</a>
+        
+```html
+<script type="module">
+import { Octokit } from "https://cdn.pika.dev/@octokit/core";
+</script>
+```
+
+</td></tr>
+<tr><th>
+Node
+</th><td>
+
+Install with <code>npm install @octokit/core</code>
+
+```js
+const { Octokit } = require("@octokit/core");
+// or: import { Octokit } from "@octokit/core";
+```
+
+</td></tr>
+</tbody>
+</table>
+
+### REST API example
+
+```js
+// Create a personal access token at https://github.com/settings/tokens/new?scopes=repo
+const octokit = new Octokit({ auth: `personal-access-token123` });
+
+const response = await octokit.request("GET /orgs/:org/repos", {
+  org: "octokit",
+  type: "private",
+});
+```
+
+See [`@octokit/request`](https://github.com/octokit/request.js) for full documentation of the `.request` method.
+
+### GraphQL example
+
+```js
+const octokit = new Octokit({ auth: `secret123` });
+
+const response = await octokit.graphql(
+  `query ($login: String!) {
+    organization(login: $login) {
+      repositories(privacy: PRIVATE) {
+        totalCount
+      }
+    }
+  }`,
+  { login: "octokit" }
+);
+```
+
+See [`@octokit/graphql`](https://github.com/octokit/graphql.js) for full documentation of the `.graphql` method.
+
+## Options
+
+<table>
+  <thead align=left>
+    <tr>
+      <th>
+        name
+      </th>
+      <th>
+        type
+      </th>
+      <th width=100%>
+        description
+      </th>
+    </tr>
+  </thead>
+  <tbody align=left valign=top>
+    <tr>
+      <th>
+        <code>options.authStrategy</code>
+      </th>
+      <td>
+        <code>Function<code>
+      </td>
+      <td>
+        Defaults to <a href="https://github.com/octokit/auth-token.js#readme"><code>@octokit/auth-token</code></a>. See <a href="authentication">Authentication</a> below for examples.
+      </td>
+    </tr>
+    <tr>
+      <th>
+        <code>options.auth</code>
+      </th>
+      <td>
+        <code>String</code> or <code>Object</code>
+      </td>
+      <td>
+        See <a href="authentication">Authentication</a> below for examples.
+      </td>
+    </tr>
+    <tr>
+      <th>
+        <code>options.baseUrl</code>
+      </th>
+      <td>
+        <code>String</code>
+      </td>
+      <td>
+
+When using with GitHub Enterprise Server, set `options.baseUrl` to the root URL of the API. For example, if your GitHub Enterprise Server's hostname is `github.acme-inc.com`, then set `options.baseUrl` to `https://github.acme-inc.com/api/v3`. Example
+
+```js
+const octokit = new Octokit({
+  baseUrl: "https://github.acme-inc.com/api/v3",
+});
+```
+
+</td></tr>
+    <tr>
+      <th>
+        <code>options.previews</code>
+      </th>
+      <td>
+        <code>Array of Strings</code>
+      </td>
+      <td>
+
+Some REST API endpoints require preview headers to be set, or enable
+additional features. Preview headers can be set on a per-request basis, e.g.
+
+```js
+octokit.request("POST /repos/:owner/:repo/pulls", {
+  mediaType: {
+    previews: ["shadow-cat"],
+  },
+  owner,
+  repo,
+  title: "My pull request",
+  base: "master",
+  head: "my-feature",
+  draft: true,
+});
+```
+
+You can also set previews globally, by setting the `options.previews` option on the constructor. Example:
+
+```js
+const octokit = new Octokit({
+  previews: ["shadow-cat"],
+});
+```
+
+</td></tr>
+    <tr>
+      <th>
+        <code>options.request</code>
+      </th>
+      <td>
+        <code>Object</code>
+      </td>
+      <td>
+
+Set a default request timeout (`options.request.timeout`) or an [`http(s).Agent`](https://nodejs.org/api/http.html#http_class_http_agent) e.g. for proxy usage (Node only, `options.request.agent`).
+
+There are more `options.request.*` options, see [`@octokit/request` options](https://github.com/octokit/request.js#request). `options.request` can also be set on a per-request basis.
+
+</td></tr>
+    <tr>
+      <th>
+        <code>options.timeZone</code>
+      </th>
+      <td>
+        <code>String</code>
+      </td>
+      <td>
+
+Sets the `Time-Zone` header which defines a timezone according to the [list of names from the Olson database](https://en.wikipedia.org/wiki/List_of_tz_database_time_zones).
+
+```js
+const octokit = new Octokit({
+  timeZone: "America/Los_Angeles",
+});
+```
+
+The time zone header will determine the timezone used for generating the timestamp when creating commits. See [GitHub's Timezones documentation](https://developer.github.com/v3/#timezones).
+
+</td></tr>
+    <tr>
+      <th>
+        <code>options.userAgent</code>
+      </th>
+      <td>
+        <code>String</code>
+      </td>
+      <td>
+
+A custom user agent string for your app or library. Example
+
+```js
+const octokit = new Octokit({
+  userAgent: "my-app/v1.2.3",
+});
+```
+
+</td></tr>
+  </tbody>
+</table>
+
+## Defaults
+
+You can create a new Octokit class with customized default options.
+
+```js
+const MyOctokit = Octokit.defaults({
+  auth: "personal-access-token123",
+  baseUrl: "https://github.acme-inc.com/api/v3",
+  userAgent: "my-app/v1.2.3",
+});
+const octokit1 = new MyOctokit();
+const octokit2 = new MyOctokit();
+```
+
+If you pass additional options to your new constructor, the options will be merged shallowly.
+
+```js
+const MyOctokit = Octokit.defaults({
+  foo: {
+    opt1: 1,
+  },
+});
+const octokit = new MyOctokit({
+  foo: {
+    opt2: 1,
+  },
+});
+// options will be { foo: { opt2: 1 }}
+```
+
+If you need a deep or conditional merge, you can pass a function instead.
+
+```js
+const MyOctokit = Octokit.defaults((options) => {
+  return {
+    foo: Object.assign({}, options.foo, { opt2: 1 }),
+  };
+});
+const octokit = new MyOctokit({
+  foo: { opt2: 1 },
+});
+// options will be { foo: { opt1: 1, opt2: 1 }}
+```
+
+Be careful about mutating the `options` object in the `Octokit.defaults` callback, as it can have unforeseen consequences.
+
+## Authentication
+
+Authentication is optional for some REST API endpoints accessing public data, but is required for GraphQL queries. Using authentication also increases your [API rate limit](https://developer.github.com/v3/#rate-limiting).
+
+By default, Octokit authenticates using the [token authentication strategy](https://github.com/octokit/auth-token.js). Pass in a token using `options.auth`. It can be a personal access token, an OAuth token, an installation access token or a JSON Web Token for GitHub App authentication. The `Authorization` header will be set according to the type of token.
+
+```js
+import { Octokit } from "@octokit/core";
+
+const octokit = new Octokit({
+  auth: "mypersonalaccesstoken123",
+});
+
+const { data } = await octokit.request("/user");
+```
+
+To use a different authentication strategy, set `options.authStrategy`. A set of officially supported authentication strategies can be retrieved from [`@octokit/auth`](https://github.com/octokit/auth-app.js#readme). Example
+
+```js
+import { Octokit } from "@octokit/core";
+import { createAppAuth } from "@octokit/auth-app";
+
+const appOctokit = new Octokit({
+  authStrategy: createAppAuth,
+  auth: {
+    id: 123,
+    privateKey: process.env.PRIVATE_KEY,
+  },
+});
+
+const { data } = await appOctokit.request("/app");
+```
+
+The `.auth()` method returned by the current authentication strategy can be accessed at `octokit.auth()`. Example
+
+```js
+const { token } = await appOctokit.auth({
+  type: "installation",
+  installationId: 123,
+});
+```
+
+## Logging
+
+There are four built-in log methods
+
+1. `octokit.log.debug(message[, additionalInfo])`
+1. `octokit.log.info(message[, additionalInfo])`
+1. `octokit.log.warn(message[, additionalInfo])`
+1. `octokit.log.error(message[, additionalInfo])`
+
+They can be configured using the [`log` client option](client-options). By default, `octokit.log.debug()` and `octokit.log.info()` are no-ops, while the other two call `console.warn()` and `console.error()` respectively.
+
+This is useful if you build reusable [plugins](#plugins).
+
+If you would like to make the log level configurable using an environment variable or external option, we recommend the [console-log-level](https://github.com/watson/console-log-level) package. Example
+
+```js
+const octokit = new Octokit({
+  log: require("console-log-level")({ level: "info" }),
+});
+```
+
+## Hooks
+
+You can customize Octokit's request lifecycle with hooks.
+
+```js
+octokit.hook.before("request", async (options) => {
+  validate(options);
+});
+octokit.hook.after("request", async (response, options) => {
+  console.log(`${options.method} ${options.url}: ${response.status}`);
+});
+octokit.hook.error("request", async (error, options) => {
+  if (error.status === 304) {
+    return findInCache(error.headers.etag);
+  }
+
+  throw error;
+});
+octokit.hook.wrap("request", async (request, options) => {
+  // add logic before, after, catch errors or replace the request altogether
+  return request(options);
+});
+```
+
+See [before-after-hook](https://github.com/gr2m/before-after-hook#readme) for more documentation on hooks.
+
+## Plugins
+
+Octokit’s functionality can be extended using plugins. The `Octokit.plugin()` method accepts a plugin (or many) and returns a new constructor.
+
+A plugin is a function which gets two arguments:
+
+1. the current instance
+2. the options passed to the constructor.
+
+In order to extend `octokit`'s API, the plugin must return an object with the new methods.
+
+```js
+// index.js
+const { Octokit } = require("@octokit/core")
+const MyOctokit = Octokit.plugin(
+  require("./lib/my-plugin"),
+  require("octokit-plugin-example")
+);
+
+const octokit = new MyOctokit({ greeting: "Moin moin" });
+octokit.helloWorld(); // logs "Moin moin, world!"
+octokit.request("GET /"); // logs "GET / - 200 in 123ms"
+
+// lib/my-plugin.js
+module.exports = (octokit, options = { greeting: "Hello" }) => {
+  // hook into the request lifecycle
+  octokit.hook.wrap("request", async (request, options) => {
+    const time = Date.now();
+    const response = await request(options);
+    console.log(
+      `${options.method} ${options.url} – ${response.status} in ${Date.now() -
+        time}ms`
+    );
+    return response;
+  });
+
+  // add a custom method
+  return {
+    helloWorld: () => console.log(`${options.greeting}, world!`);
+  }
+};
+```
+
+## Build your own Octokit with Plugins and Defaults
+
+You can build your own Octokit class with preset default options and plugins. In fact, this is mostly how the `@octokit/<context>` modules work, such as [`@octokit/action`](https://github.com/octokit/action.js):
+
+```js
+const { Octokit } = require("@octokit/core");
+const MyActionOctokit = Octokit.plugin(
+  require("@octokit/plugin-paginate"),
+  require("@octokit/plugin-throttle"),
+  require("@octokit/plugin-retry")
+).defaults({
+  authStrategy: require("@octokit/auth-action"),
+  userAgent: `my-octokit-action/v1.2.3`,
+});
+
+const octokit = new MyActionOctokit();
+const installations = await octokit.paginate("GET /app/installations");
+```
+
+## LICENSE
+
+[MIT](LICENSE)
diff --git a/node_modules/@octokit/core/dist-node/index.js b/node_modules/@octokit/core/dist-node/index.js
new file mode 100644
index 000000000..e395c9c5b
--- /dev/null
+++ b/node_modules/@octokit/core/dist-node/index.js
@@ -0,0 +1,176 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', { value: true });
+
+var universalUserAgent = require('universal-user-agent');
+var beforeAfterHook = require('before-after-hook');
+var request = require('@octokit/request');
+var graphql = require('@octokit/graphql');
+var authToken = require('@octokit/auth-token');
+
+function _defineProperty(obj, key, value) {
+  if (key in obj) {
+    Object.defineProperty(obj, key, {
+      value: value,
+      enumerable: true,
+      configurable: true,
+      writable: true
+    });
+  } else {
+    obj[key] = value;
+  }
+
+  return obj;
+}
+
+function ownKeys(object, enumerableOnly) {
+  var keys = Object.keys(object);
+
+  if (Object.getOwnPropertySymbols) {
+    var symbols = Object.getOwnPropertySymbols(object);
+    if (enumerableOnly) symbols = symbols.filter(function (sym) {
+      return Object.getOwnPropertyDescriptor(object, sym).enumerable;
+    });
+    keys.push.apply(keys, symbols);
+  }
+
+  return keys;
+}
+
+function _objectSpread2(target) {
+  for (var i = 1; i < arguments.length; i++) {
+    var source = arguments[i] != null ? arguments[i] : {};
+
+    if (i % 2) {
+      ownKeys(Object(source), true).forEach(function (key) {
+        _defineProperty(target, key, source[key]);
+      });
+    } else if (Object.getOwnPropertyDescriptors) {
+      Object.defineProperties(target, Object.getOwnPropertyDescriptors(source));
+    } else {
+      ownKeys(Object(source)).forEach(function (key) {
+        Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key));
+      });
+    }
+  }
+
+  return target;
+}
+
+const VERSION = "3.1.1";
+
+class Octokit {
+  constructor(options = {}) {
+    const hook = new beforeAfterHook.Collection();
+    const requestDefaults = {
+      baseUrl: request.request.endpoint.DEFAULTS.baseUrl,
+      headers: {},
+      request: Object.assign({}, options.request, {
+        hook: hook.bind(null, "request")
+      }),
+      mediaType: {
+        previews: [],
+        format: ""
+      }
+    }; // prepend default user agent with `options.userAgent` if set
+
+    requestDefaults.headers["user-agent"] = [options.userAgent, `octokit-core.js/${VERSION} ${universalUserAgent.getUserAgent()}`].filter(Boolean).join(" ");
+
+    if (options.baseUrl) {
+      requestDefaults.baseUrl = options.baseUrl;
+    }
+
+    if (options.previews) {
+      requestDefaults.mediaType.previews = options.previews;
+    }
+
+    if (options.timeZone) {
+      requestDefaults.headers["time-zone"] = options.timeZone;
+    }
+
+    this.request = request.request.defaults(requestDefaults);
+    this.graphql = graphql.withCustomRequest(this.request).defaults(_objectSpread2(_objectSpread2({}, requestDefaults), {}, {
+      baseUrl: requestDefaults.baseUrl.replace(/\/api\/v3$/, "/api")
+    }));
+    this.log = Object.assign({
+      debug: () => {},
+      info: () => {},
+      warn: console.warn.bind(console),
+      error: console.error.bind(console)
+    }, options.log);
+    this.hook = hook; // (1) If neither `options.authStrategy` nor `options.auth` are set, the `octokit` instance
+    //     is unauthenticated. The `this.auth()` method is a no-op and no request hook is registred.
+    // (2) If only `options.auth` is set, use the default token authentication strategy.
+    // (3) If `options.authStrategy` is set then use it and pass in `options.auth`. Always pass own request as many strategies accept a custom request instance.
+    // TODO: type `options.auth` based on `options.authStrategy`.
+
+    if (!options.authStrategy) {
+      if (!options.auth) {
+        // (1)
+        this.auth = async () => ({
+          type: "unauthenticated"
+        });
+      } else {
+        // (2)
+        const auth = authToken.createTokenAuth(options.auth); // @ts-ignore  ¯\_(ツ)_/¯
+
+        hook.wrap("request", auth.hook);
+        this.auth = auth;
+      }
+    } else {
+      const auth = options.authStrategy(Object.assign({
+        request: this.request
+      }, options.auth)); // @ts-ignore  ¯\_(ツ)_/¯
+
+      hook.wrap("request", auth.hook);
+      this.auth = auth;
+    } // apply plugins
+    // https://stackoverflow.com/a/16345172
+
+
+    const classConstructor = this.constructor;
+    classConstructor.plugins.forEach(plugin => {
+      Object.assign(this, plugin(this, options));
+    });
+  }
+
+  static defaults(defaults) {
+    const OctokitWithDefaults = class extends this {
+      constructor(...args) {
+        const options = args[0] || {};
+
+        if (typeof defaults === "function") {
+          super(defaults(options));
+          return;
+        }
+
+        super(Object.assign({}, defaults, options, options.userAgent && defaults.userAgent ? {
+          userAgent: `${options.userAgent} ${defaults.userAgent}`
+        } : null));
+      }
+
+    };
+    return OctokitWithDefaults;
+  }
+  /**
+   * Attach a plugin (or many) to your Octokit instance.
+   *
+   * @example
+   * const API = Octokit.plugin(plugin1, plugin2, plugin3, ...)
+   */
+
+
+  static plugin(...newPlugins) {
+    var _a;
+
+    const currentPlugins = this.plugins;
+    const NewOctokit = (_a = class extends this {}, _a.plugins = currentPlugins.concat(newPlugins.filter(plugin => !currentPlugins.includes(plugin))), _a);
+    return NewOctokit;
+  }
+
+}
+Octokit.VERSION = VERSION;
+Octokit.plugins = [];
+
+exports.Octokit = Octokit;
+//# sourceMappingURL=index.js.map
diff --git a/node_modules/@octokit/core/dist-node/index.js.map b/node_modules/@octokit/core/dist-node/index.js.map
new file mode 100644
index 000000000..a3606acb3
--- /dev/null
+++ b/node_modules/@octokit/core/dist-node/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"3.1.1\";\n","import { getUserAgent } from \"universal-user-agent\";\nimport { Collection } from \"before-after-hook\";\nimport { request } from \"@octokit/request\";\nimport { withCustomRequest } from \"@octokit/graphql\";\nimport { createTokenAuth } from \"@octokit/auth-token\";\nimport { VERSION } from \"./version\";\nexport class Octokit {\n    constructor(options = {}) {\n        const hook = new Collection();\n        const requestDefaults = {\n            baseUrl: request.endpoint.DEFAULTS.baseUrl,\n            headers: {},\n            request: Object.assign({}, options.request, {\n                hook: hook.bind(null, \"request\"),\n            }),\n            mediaType: {\n                previews: [],\n                format: \"\",\n            },\n        };\n        // prepend default user agent with `options.userAgent` if set\n        requestDefaults.headers[\"user-agent\"] = [\n            options.userAgent,\n            `octokit-core.js/${VERSION} ${getUserAgent()}`,\n        ]\n            .filter(Boolean)\n            .join(\" \");\n        if (options.baseUrl) {\n            requestDefaults.baseUrl = options.baseUrl;\n        }\n        if (options.previews) {\n            requestDefaults.mediaType.previews = options.previews;\n        }\n        if (options.timeZone) {\n            requestDefaults.headers[\"time-zone\"] = options.timeZone;\n        }\n        this.request = request.defaults(requestDefaults);\n        this.graphql = withCustomRequest(this.request).defaults({\n            ...requestDefaults,\n            baseUrl: requestDefaults.baseUrl.replace(/\\/api\\/v3$/, \"/api\"),\n        });\n        this.log = Object.assign({\n            debug: () => { },\n            info: () => { },\n            warn: console.warn.bind(console),\n            error: console.error.bind(console),\n        }, options.log);\n        this.hook = hook;\n        // (1) If neither `options.authStrategy` nor `options.auth` are set, the `octokit` instance\n        //     is unauthenticated. The `this.auth()` method is a no-op and no request hook is registred.\n        // (2) If only `options.auth` is set, use the default token authentication strategy.\n        // (3) If `options.authStrategy` is set then use it and pass in `options.auth`. Always pass own request as many strategies accept a custom request instance.\n        // TODO: type `options.auth` based on `options.authStrategy`.\n        if (!options.authStrategy) {\n            if (!options.auth) {\n                // (1)\n                this.auth = async () => ({\n                    type: \"unauthenticated\",\n                });\n            }\n            else {\n                // (2)\n                const auth = createTokenAuth(options.auth);\n                // @ts-ignore  ¯\\_(ツ)_/¯\n                hook.wrap(\"request\", auth.hook);\n                this.auth = auth;\n            }\n        }\n        else {\n            const auth = options.authStrategy(Object.assign({\n                request: this.request,\n            }, options.auth));\n            // @ts-ignore  ¯\\_(ツ)_/¯\n            hook.wrap(\"request\", auth.hook);\n            this.auth = auth;\n        }\n        // apply plugins\n        // https://stackoverflow.com/a/16345172\n        const classConstructor = this.constructor;\n        classConstructor.plugins.forEach((plugin) => {\n            Object.assign(this, plugin(this, options));\n        });\n    }\n    static defaults(defaults) {\n        const OctokitWithDefaults = class extends this {\n            constructor(...args) {\n                const options = args[0] || {};\n                if (typeof defaults === \"function\") {\n                    super(defaults(options));\n                    return;\n                }\n                super(Object.assign({}, defaults, options, options.userAgent && defaults.userAgent\n                    ? {\n                        userAgent: `${options.userAgent} ${defaults.userAgent}`,\n                    }\n                    : null));\n            }\n        };\n        return OctokitWithDefaults;\n    }\n    /**\n     * Attach a plugin (or many) to your Octokit instance.\n     *\n     * @example\n     * const API = Octokit.plugin(plugin1, plugin2, plugin3, ...)\n     */\n    static plugin(...newPlugins) {\n        var _a;\n        const currentPlugins = this.plugins;\n        const NewOctokit = (_a = class extends this {\n            },\n            _a.plugins = currentPlugins.concat(newPlugins.filter((plugin) => !currentPlugins.includes(plugin))),\n            _a);\n        return NewOctokit;\n    }\n}\nOctokit.VERSION = VERSION;\nOctokit.plugins = [];\n"],"names":["VERSION","Octokit","constructor","options","hook","Collection","requestDefaults","baseUrl","request","endpoint","DEFAULTS","headers","Object","assign","bind","mediaType","previews","format","userAgent","getUserAgent","filter","Boolean","join","timeZone","defaults","graphql","withCustomRequest","replace","log","debug","info","warn","console","error","authStrategy","auth","type","createTokenAuth","wrap","classConstructor","plugins","forEach","plugin","OctokitWithDefaults","args","newPlugins","_a","currentPlugins","NewOctokit","concat","includes"],"mappings":";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;AAAO,MAAMA,OAAO,GAAG,mBAAhB;;ACMA,MAAMC,OAAN,CAAc;AACjBC,EAAAA,WAAW,CAACC,OAAO,GAAG,EAAX,EAAe;AACtB,UAAMC,IAAI,GAAG,IAAIC,0BAAJ,EAAb;AACA,UAAMC,eAAe,GAAG;AACpBC,MAAAA,OAAO,EAAEC,eAAO,CAACC,QAAR,CAAiBC,QAAjB,CAA0BH,OADf;AAEpBI,MAAAA,OAAO,EAAE,EAFW;AAGpBH,MAAAA,OAAO,EAAEI,MAAM,CAACC,MAAP,CAAc,EAAd,EAAkBV,OAAO,CAACK,OAA1B,EAAmC;AACxCJ,QAAAA,IAAI,EAAEA,IAAI,CAACU,IAAL,CAAU,IAAV,EAAgB,SAAhB;AADkC,OAAnC,CAHW;AAMpBC,MAAAA,SAAS,EAAE;AACPC,QAAAA,QAAQ,EAAE,EADH;AAEPC,QAAAA,MAAM,EAAE;AAFD;AANS,KAAxB,CAFsB;;AActBX,IAAAA,eAAe,CAACK,OAAhB,CAAwB,YAAxB,IAAwC,CACpCR,OAAO,CAACe,SAD4B,EAEnC,mBAAkBlB,OAAQ,IAAGmB,+BAAY,EAAG,EAFT,EAInCC,MAJmC,CAI5BC,OAJ4B,EAKnCC,IALmC,CAK9B,GAL8B,CAAxC;;AAMA,QAAInB,OAAO,CAACI,OAAZ,EAAqB;AACjBD,MAAAA,eAAe,CAACC,OAAhB,GAA0BJ,OAAO,CAACI,OAAlC;AACH;;AACD,QAAIJ,OAAO,CAACa,QAAZ,EAAsB;AAClBV,MAAAA,eAAe,CAACS,SAAhB,CAA0BC,QAA1B,GAAqCb,OAAO,CAACa,QAA7C;AACH;;AACD,QAAIb,OAAO,CAACoB,QAAZ,EAAsB;AAClBjB,MAAAA,eAAe,CAACK,OAAhB,CAAwB,WAAxB,IAAuCR,OAAO,CAACoB,QAA/C;AACH;;AACD,SAAKf,OAAL,GAAeA,eAAO,CAACgB,QAAR,CAAiBlB,eAAjB,CAAf;AACA,SAAKmB,OAAL,GAAeC,yBAAiB,CAAC,KAAKlB,OAAN,CAAjB,CAAgCgB,QAAhC,mCACRlB,eADQ;AAEXC,MAAAA,OAAO,EAAED,eAAe,CAACC,OAAhB,CAAwBoB,OAAxB,CAAgC,YAAhC,EAA8C,MAA9C;AAFE,OAAf;AAIA,SAAKC,GAAL,GAAWhB,MAAM,CAACC,MAAP,CAAc;AACrBgB,MAAAA,KAAK,EAAE,MAAM,EADQ;AAErBC,MAAAA,IAAI,EAAE,MAAM,EAFS;AAGrBC,MAAAA,IAAI,EAAEC,OAAO,CAACD,IAAR,CAAajB,IAAb,CAAkBkB,OAAlB,CAHe;AAIrBC,MAAAA,KAAK,EAAED,OAAO,CAACC,KAAR,CAAcnB,IAAd,CAAmBkB,OAAnB;AAJc,KAAd,EAKR7B,OAAO,CAACyB,GALA,CAAX;AAMA,SAAKxB,IAAL,GAAYA,IAAZ,CAxCsB;AA0CtB;AACA;AACA;AACA;;AACA,QAAI,CAACD,OAAO,CAAC+B,YAAb,EAA2B;AACvB,UAAI,CAAC/B,OAAO,CAACgC,IAAb,EAAmB;AACf;AACA,aAAKA,IAAL,GAAY,aAAa;AACrBC,UAAAA,IAAI,EAAE;AADe,SAAb,CAAZ;AAGH,OALD,MAMK;AACD;AACA,cAAMD,IAAI,GAAGE,yBAAe,CAAClC,OAAO,CAACgC,IAAT,CAA5B,CAFC;;AAID/B,QAAAA,IAAI,CAACkC,IAAL,CAAU,SAAV,EAAqBH,IAAI,CAAC/B,IAA1B;AACA,aAAK+B,IAAL,GAAYA,IAAZ;AACH;AACJ,KAdD,MAeK;AACD,YAAMA,IAAI,GAAGhC,OAAO,CAAC+B,YAAR,CAAqBtB,MAAM,CAACC,MAAP,CAAc;AAC5CL,QAAAA,OAAO,EAAE,KAAKA;AAD8B,OAAd,EAE/BL,OAAO,CAACgC,IAFuB,CAArB,CAAb,CADC;;AAKD/B,MAAAA,IAAI,CAACkC,IAAL,CAAU,SAAV,EAAqBH,IAAI,CAAC/B,IAA1B;AACA,WAAK+B,IAAL,GAAYA,IAAZ;AACH,KApEqB;AAsEtB;;;AACA,UAAMI,gBAAgB,GAAG,KAAKrC,WAA9B;AACAqC,IAAAA,gBAAgB,CAACC,OAAjB,CAAyBC,OAAzB,CAAkCC,MAAD,IAAY;AACzC9B,MAAAA,MAAM,CAACC,MAAP,CAAc,IAAd,EAAoB6B,MAAM,CAAC,IAAD,EAAOvC,OAAP,CAA1B;AACH,KAFD;AAGH;;AACD,SAAOqB,QAAP,CAAgBA,QAAhB,EAA0B;AACtB,UAAMmB,mBAAmB,GAAG,cAAc,IAAd,CAAmB;AAC3CzC,MAAAA,WAAW,CAAC,GAAG0C,IAAJ,EAAU;AACjB,cAAMzC,OAAO,GAAGyC,IAAI,CAAC,CAAD,CAAJ,IAAW,EAA3B;;AACA,YAAI,OAAOpB,QAAP,KAAoB,UAAxB,EAAoC;AAChC,gBAAMA,QAAQ,CAACrB,OAAD,CAAd;AACA;AACH;;AACD,cAAMS,MAAM,CAACC,MAAP,CAAc,EAAd,EAAkBW,QAAlB,EAA4BrB,OAA5B,EAAqCA,OAAO,CAACe,SAAR,IAAqBM,QAAQ,CAACN,SAA9B,GACrC;AACEA,UAAAA,SAAS,EAAG,GAAEf,OAAO,CAACe,SAAU,IAAGM,QAAQ,CAACN,SAAU;AADxD,SADqC,GAIrC,IAJA,CAAN;AAKH;;AAZ0C,KAA/C;AAcA,WAAOyB,mBAAP;AACH;AACD;;;;;;;;AAMA,SAAOD,MAAP,CAAc,GAAGG,UAAjB,EAA6B;AACzB,QAAIC,EAAJ;;AACA,UAAMC,cAAc,GAAG,KAAKP,OAA5B;AACA,UAAMQ,UAAU,IAAIF,EAAE,GAAG,cAAc,IAAd,CAAmB,EAAxB,EAEhBA,EAAE,CAACN,OAAH,GAAaO,cAAc,CAACE,MAAf,CAAsBJ,UAAU,CAACzB,MAAX,CAAmBsB,MAAD,IAAY,CAACK,cAAc,CAACG,QAAf,CAAwBR,MAAxB,CAA/B,CAAtB,CAFG,EAGhBI,EAHY,CAAhB;AAIA,WAAOE,UAAP;AACH;;AA5GgB;AA8GrB/C,OAAO,CAACD,OAAR,GAAkBA,OAAlB;AACAC,OAAO,CAACuC,OAAR,GAAkB,EAAlB;;;;"}
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diff --git a/node_modules/@octokit/core/dist-src/index.js b/node_modules/@octokit/core/dist-src/index.js
new file mode 100644
index 000000000..e22e93921
--- /dev/null
+++ b/node_modules/@octokit/core/dist-src/index.js
@@ -0,0 +1,118 @@
+import { getUserAgent } from "universal-user-agent";
+import { Collection } from "before-after-hook";
+import { request } from "@octokit/request";
+import { withCustomRequest } from "@octokit/graphql";
+import { createTokenAuth } from "@octokit/auth-token";
+import { VERSION } from "./version";
+export class Octokit {
+    constructor(options = {}) {
+        const hook = new Collection();
+        const requestDefaults = {
+            baseUrl: request.endpoint.DEFAULTS.baseUrl,
+            headers: {},
+            request: Object.assign({}, options.request, {
+                hook: hook.bind(null, "request"),
+            }),
+            mediaType: {
+                previews: [],
+                format: "",
+            },
+        };
+        // prepend default user agent with `options.userAgent` if set
+        requestDefaults.headers["user-agent"] = [
+            options.userAgent,
+            `octokit-core.js/${VERSION} ${getUserAgent()}`,
+        ]
+            .filter(Boolean)
+            .join(" ");
+        if (options.baseUrl) {
+            requestDefaults.baseUrl = options.baseUrl;
+        }
+        if (options.previews) {
+            requestDefaults.mediaType.previews = options.previews;
+        }
+        if (options.timeZone) {
+            requestDefaults.headers["time-zone"] = options.timeZone;
+        }
+        this.request = request.defaults(requestDefaults);
+        this.graphql = withCustomRequest(this.request).defaults({
+            ...requestDefaults,
+            baseUrl: requestDefaults.baseUrl.replace(/\/api\/v3$/, "/api"),
+        });
+        this.log = Object.assign({
+            debug: () => { },
+            info: () => { },
+            warn: console.warn.bind(console),
+            error: console.error.bind(console),
+        }, options.log);
+        this.hook = hook;
+        // (1) If neither `options.authStrategy` nor `options.auth` are set, the `octokit` instance
+        //     is unauthenticated. The `this.auth()` method is a no-op and no request hook is registred.
+        // (2) If only `options.auth` is set, use the default token authentication strategy.
+        // (3) If `options.authStrategy` is set then use it and pass in `options.auth`. Always pass own request as many strategies accept a custom request instance.
+        // TODO: type `options.auth` based on `options.authStrategy`.
+        if (!options.authStrategy) {
+            if (!options.auth) {
+                // (1)
+                this.auth = async () => ({
+                    type: "unauthenticated",
+                });
+            }
+            else {
+                // (2)
+                const auth = createTokenAuth(options.auth);
+                // @ts-ignore  ¯\_(ツ)_/¯
+                hook.wrap("request", auth.hook);
+                this.auth = auth;
+            }
+        }
+        else {
+            const auth = options.authStrategy(Object.assign({
+                request: this.request,
+            }, options.auth));
+            // @ts-ignore  ¯\_(ツ)_/¯
+            hook.wrap("request", auth.hook);
+            this.auth = auth;
+        }
+        // apply plugins
+        // https://stackoverflow.com/a/16345172
+        const classConstructor = this.constructor;
+        classConstructor.plugins.forEach((plugin) => {
+            Object.assign(this, plugin(this, options));
+        });
+    }
+    static defaults(defaults) {
+        const OctokitWithDefaults = class extends this {
+            constructor(...args) {
+                const options = args[0] || {};
+                if (typeof defaults === "function") {
+                    super(defaults(options));
+                    return;
+                }
+                super(Object.assign({}, defaults, options, options.userAgent && defaults.userAgent
+                    ? {
+                        userAgent: `${options.userAgent} ${defaults.userAgent}`,
+                    }
+                    : null));
+            }
+        };
+        return OctokitWithDefaults;
+    }
+    /**
+     * Attach a plugin (or many) to your Octokit instance.
+     *
+     * @example
+     * const API = Octokit.plugin(plugin1, plugin2, plugin3, ...)
+     */
+    static plugin(...newPlugins) {
+        var _a;
+        const currentPlugins = this.plugins;
+        const NewOctokit = (_a = class extends this {
+            },
+            _a.plugins = currentPlugins.concat(newPlugins.filter((plugin) => !currentPlugins.includes(plugin))),
+            _a);
+        return NewOctokit;
+    }
+}
+Octokit.VERSION = VERSION;
+Octokit.plugins = [];
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/rest-endpoint-methods-types.js b/node_modules/@octokit/core/dist-src/types.js
similarity index 100%
rename from node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/rest-endpoint-methods-types.js
rename to node_modules/@octokit/core/dist-src/types.js
diff --git a/node_modules/@octokit/core/dist-src/version.js b/node_modules/@octokit/core/dist-src/version.js
new file mode 100644
index 000000000..08e95e526
--- /dev/null
+++ b/node_modules/@octokit/core/dist-src/version.js
@@ -0,0 +1 @@
+export const VERSION = "3.1.1";
diff --git a/node_modules/@octokit/core/dist-types/index.d.ts b/node_modules/@octokit/core/dist-types/index.d.ts
new file mode 100644
index 000000000..103362276
--- /dev/null
+++ b/node_modules/@octokit/core/dist-types/index.d.ts
@@ -0,0 +1,40 @@
+import { HookCollection } from "before-after-hook";
+import { request } from "@octokit/request";
+import { graphql } from "@octokit/graphql";
+import { Constructor, OctokitOptions, OctokitPlugin, ReturnTypeOf, UnionToIntersection } from "./types";
+export declare class Octokit {
+    static VERSION: string;
+    static defaults<S extends Constructor<any>>(this: S, defaults: OctokitOptions | Function): {
+        new (...args: any[]): {
+            [x: string]: any;
+        };
+    } & S;
+    static plugins: OctokitPlugin[];
+    /**
+     * Attach a plugin (or many) to your Octokit instance.
+     *
+     * @example
+     * const API = Octokit.plugin(plugin1, plugin2, plugin3, ...)
+     */
+    static plugin<S extends Constructor<any> & {
+        plugins: any[];
+    }, T extends OctokitPlugin[]>(this: S, ...newPlugins: T): {
+        new (...args: any[]): {
+            [x: string]: any;
+        };
+        plugins: any[];
+    } & S & Constructor<UnionToIntersection<ReturnTypeOf<T>>>;
+    constructor(options?: OctokitOptions);
+    request: typeof request;
+    graphql: typeof graphql;
+    log: {
+        debug: (message: string, additionalInfo?: object) => any;
+        info: (message: string, additionalInfo?: object) => any;
+        warn: (message: string, additionalInfo?: object) => any;
+        error: (message: string, additionalInfo?: object) => any;
+        [key: string]: any;
+    };
+    hook: HookCollection;
+    auth: (...args: unknown[]) => Promise<unknown>;
+    [key: string]: any;
+}
diff --git a/node_modules/@octokit/core/dist-types/types.d.ts b/node_modules/@octokit/core/dist-types/types.d.ts
new file mode 100644
index 000000000..447d8c60d
--- /dev/null
+++ b/node_modules/@octokit/core/dist-types/types.d.ts
@@ -0,0 +1,22 @@
+import * as OctokitTypes from "@octokit/types";
+import { Octokit } from ".";
+export declare type RequestParameters = OctokitTypes.RequestParameters;
+export declare type OctokitOptions = {
+    authStrategy?: any;
+    auth?: any;
+    request?: OctokitTypes.RequestRequestOptions;
+    timeZone?: string;
+    [option: string]: any;
+};
+export declare type Constructor<T> = new (...args: any[]) => T;
+export declare type ReturnTypeOf<T extends AnyFunction | AnyFunction[]> = T extends AnyFunction ? ReturnType<T> : T extends AnyFunction[] ? UnionToIntersection<ReturnType<T[number]>> : never;
+/**
+ * @author https://stackoverflow.com/users/2887218/jcalz
+ * @see https://stackoverflow.com/a/50375286/10325032
+ */
+export declare type UnionToIntersection<Union> = (Union extends any ? (argument: Union) => void : never) extends (argument: infer Intersection) => void ? Intersection : never;
+declare type AnyFunction = (...args: any) => any;
+export declare type OctokitPlugin = (octokit: Octokit, options: OctokitOptions) => {
+    [key: string]: any;
+} | void;
+export {};
diff --git a/node_modules/@octokit/core/dist-types/version.d.ts b/node_modules/@octokit/core/dist-types/version.d.ts
new file mode 100644
index 000000000..03b6d3938
--- /dev/null
+++ b/node_modules/@octokit/core/dist-types/version.d.ts
@@ -0,0 +1 @@
+export declare const VERSION = "3.1.1";
diff --git a/node_modules/@octokit/core/dist-web/index.js b/node_modules/@octokit/core/dist-web/index.js
new file mode 100644
index 000000000..49e391e47
--- /dev/null
+++ b/node_modules/@octokit/core/dist-web/index.js
@@ -0,0 +1,123 @@
+import { getUserAgent } from 'universal-user-agent';
+import { Collection } from 'before-after-hook';
+import { request } from '@octokit/request';
+import { withCustomRequest } from '@octokit/graphql';
+import { createTokenAuth } from '@octokit/auth-token';
+
+const VERSION = "3.1.1";
+
+class Octokit {
+    constructor(options = {}) {
+        const hook = new Collection();
+        const requestDefaults = {
+            baseUrl: request.endpoint.DEFAULTS.baseUrl,
+            headers: {},
+            request: Object.assign({}, options.request, {
+                hook: hook.bind(null, "request"),
+            }),
+            mediaType: {
+                previews: [],
+                format: "",
+            },
+        };
+        // prepend default user agent with `options.userAgent` if set
+        requestDefaults.headers["user-agent"] = [
+            options.userAgent,
+            `octokit-core.js/${VERSION} ${getUserAgent()}`,
+        ]
+            .filter(Boolean)
+            .join(" ");
+        if (options.baseUrl) {
+            requestDefaults.baseUrl = options.baseUrl;
+        }
+        if (options.previews) {
+            requestDefaults.mediaType.previews = options.previews;
+        }
+        if (options.timeZone) {
+            requestDefaults.headers["time-zone"] = options.timeZone;
+        }
+        this.request = request.defaults(requestDefaults);
+        this.graphql = withCustomRequest(this.request).defaults({
+            ...requestDefaults,
+            baseUrl: requestDefaults.baseUrl.replace(/\/api\/v3$/, "/api"),
+        });
+        this.log = Object.assign({
+            debug: () => { },
+            info: () => { },
+            warn: console.warn.bind(console),
+            error: console.error.bind(console),
+        }, options.log);
+        this.hook = hook;
+        // (1) If neither `options.authStrategy` nor `options.auth` are set, the `octokit` instance
+        //     is unauthenticated. The `this.auth()` method is a no-op and no request hook is registred.
+        // (2) If only `options.auth` is set, use the default token authentication strategy.
+        // (3) If `options.authStrategy` is set then use it and pass in `options.auth`. Always pass own request as many strategies accept a custom request instance.
+        // TODO: type `options.auth` based on `options.authStrategy`.
+        if (!options.authStrategy) {
+            if (!options.auth) {
+                // (1)
+                this.auth = async () => ({
+                    type: "unauthenticated",
+                });
+            }
+            else {
+                // (2)
+                const auth = createTokenAuth(options.auth);
+                // @ts-ignore  ¯\_(ツ)_/¯
+                hook.wrap("request", auth.hook);
+                this.auth = auth;
+            }
+        }
+        else {
+            const auth = options.authStrategy(Object.assign({
+                request: this.request,
+            }, options.auth));
+            // @ts-ignore  ¯\_(ツ)_/¯
+            hook.wrap("request", auth.hook);
+            this.auth = auth;
+        }
+        // apply plugins
+        // https://stackoverflow.com/a/16345172
+        const classConstructor = this.constructor;
+        classConstructor.plugins.forEach((plugin) => {
+            Object.assign(this, plugin(this, options));
+        });
+    }
+    static defaults(defaults) {
+        const OctokitWithDefaults = class extends this {
+            constructor(...args) {
+                const options = args[0] || {};
+                if (typeof defaults === "function") {
+                    super(defaults(options));
+                    return;
+                }
+                super(Object.assign({}, defaults, options, options.userAgent && defaults.userAgent
+                    ? {
+                        userAgent: `${options.userAgent} ${defaults.userAgent}`,
+                    }
+                    : null));
+            }
+        };
+        return OctokitWithDefaults;
+    }
+    /**
+     * Attach a plugin (or many) to your Octokit instance.
+     *
+     * @example
+     * const API = Octokit.plugin(plugin1, plugin2, plugin3, ...)
+     */
+    static plugin(...newPlugins) {
+        var _a;
+        const currentPlugins = this.plugins;
+        const NewOctokit = (_a = class extends this {
+            },
+            _a.plugins = currentPlugins.concat(newPlugins.filter((plugin) => !currentPlugins.includes(plugin))),
+            _a);
+        return NewOctokit;
+    }
+}
+Octokit.VERSION = VERSION;
+Octokit.plugins = [];
+
+export { Octokit };
+//# sourceMappingURL=index.js.map
diff --git a/node_modules/@octokit/core/dist-web/index.js.map b/node_modules/@octokit/core/dist-web/index.js.map
new file mode 100644
index 000000000..0e3bef92d
--- /dev/null
+++ b/node_modules/@octokit/core/dist-web/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"3.1.1\";\n","import { getUserAgent } from \"universal-user-agent\";\nimport { Collection } from \"before-after-hook\";\nimport { request } from \"@octokit/request\";\nimport { withCustomRequest } from \"@octokit/graphql\";\nimport { createTokenAuth } from \"@octokit/auth-token\";\nimport { VERSION } from \"./version\";\nexport class Octokit {\n    constructor(options = {}) {\n        const hook = new Collection();\n        const requestDefaults = {\n            baseUrl: request.endpoint.DEFAULTS.baseUrl,\n            headers: {},\n            request: Object.assign({}, options.request, {\n                hook: hook.bind(null, \"request\"),\n            }),\n            mediaType: {\n                previews: [],\n                format: \"\",\n            },\n        };\n        // prepend default user agent with `options.userAgent` if set\n        requestDefaults.headers[\"user-agent\"] = [\n            options.userAgent,\n            `octokit-core.js/${VERSION} ${getUserAgent()}`,\n        ]\n            .filter(Boolean)\n            .join(\" \");\n        if (options.baseUrl) {\n            requestDefaults.baseUrl = options.baseUrl;\n        }\n        if (options.previews) {\n            requestDefaults.mediaType.previews = options.previews;\n        }\n        if (options.timeZone) {\n            requestDefaults.headers[\"time-zone\"] = options.timeZone;\n        }\n        this.request = request.defaults(requestDefaults);\n        this.graphql = withCustomRequest(this.request).defaults({\n            ...requestDefaults,\n            baseUrl: requestDefaults.baseUrl.replace(/\\/api\\/v3$/, \"/api\"),\n        });\n        this.log = Object.assign({\n            debug: () => { },\n            info: () => { },\n            warn: console.warn.bind(console),\n            error: console.error.bind(console),\n        }, options.log);\n        this.hook = hook;\n        // (1) If neither `options.authStrategy` nor `options.auth` are set, the `octokit` instance\n        //     is unauthenticated. The `this.auth()` method is a no-op and no request hook is registred.\n        // (2) If only `options.auth` is set, use the default token authentication strategy.\n        // (3) If `options.authStrategy` is set then use it and pass in `options.auth`. Always pass own request as many strategies accept a custom request instance.\n        // TODO: type `options.auth` based on `options.authStrategy`.\n        if (!options.authStrategy) {\n            if (!options.auth) {\n                // (1)\n                this.auth = async () => ({\n                    type: \"unauthenticated\",\n                });\n            }\n            else {\n                // (2)\n                const auth = createTokenAuth(options.auth);\n                // @ts-ignore  ¯\\_(ツ)_/¯\n                hook.wrap(\"request\", auth.hook);\n                this.auth = auth;\n            }\n        }\n        else {\n            const auth = options.authStrategy(Object.assign({\n                request: this.request,\n            }, options.auth));\n            // @ts-ignore  ¯\\_(ツ)_/¯\n            hook.wrap(\"request\", auth.hook);\n            this.auth = auth;\n        }\n        // apply plugins\n        // https://stackoverflow.com/a/16345172\n        const classConstructor = this.constructor;\n        classConstructor.plugins.forEach((plugin) => {\n            Object.assign(this, plugin(this, options));\n        });\n    }\n    static defaults(defaults) {\n        const OctokitWithDefaults = class extends this {\n            constructor(...args) {\n                const options = args[0] || {};\n                if (typeof defaults === \"function\") {\n                    super(defaults(options));\n                    return;\n                }\n                super(Object.assign({}, defaults, options, options.userAgent && defaults.userAgent\n                    ? {\n                        userAgent: `${options.userAgent} ${defaults.userAgent}`,\n                    }\n                    : null));\n            }\n        };\n        return OctokitWithDefaults;\n    }\n    /**\n     * Attach a plugin (or many) to your Octokit instance.\n     *\n     * @example\n     * const API = Octokit.plugin(plugin1, plugin2, plugin3, ...)\n     */\n    static plugin(...newPlugins) {\n        var _a;\n        const currentPlugins = this.plugins;\n        const NewOctokit = (_a = class extends this {\n            },\n            _a.plugins = currentPlugins.concat(newPlugins.filter((plugin) => !currentPlugins.includes(plugin))),\n            _a);\n        return NewOctokit;\n    }\n}\nOctokit.VERSION = VERSION;\nOctokit.plugins = [];\n"],"names":[],"mappings":";;;;;;AAAO,MAAM,OAAO,GAAG,mBAAmB;;ACMnC,MAAM,OAAO,CAAC;AACrB,IAAI,WAAW,CAAC,OAAO,GAAG,EAAE,EAAE;AAC9B,QAAQ,MAAM,IAAI,GAAG,IAAI,UAAU,EAAE,CAAC;AACtC,QAAQ,MAAM,eAAe,GAAG;AAChC,YAAY,OAAO,EAAE,OAAO,CAAC,QAAQ,CAAC,QAAQ,CAAC,OAAO;AACtD,YAAY,OAAO,EAAE,EAAE;AACvB,YAAY,OAAO,EAAE,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,OAAO,CAAC,OAAO,EAAE;AACxD,gBAAgB,IAAI,EAAE,IAAI,CAAC,IAAI,CAAC,IAAI,EAAE,SAAS,CAAC;AAChD,aAAa,CAAC;AACd,YAAY,SAAS,EAAE;AACvB,gBAAgB,QAAQ,EAAE,EAAE;AAC5B,gBAAgB,MAAM,EAAE,EAAE;AAC1B,aAAa;AACb,SAAS,CAAC;AACV;AACA,QAAQ,eAAe,CAAC,OAAO,CAAC,YAAY,CAAC,GAAG;AAChD,YAAY,OAAO,CAAC,SAAS;AAC7B,YAAY,CAAC,gBAAgB,EAAE,OAAO,CAAC,CAAC,EAAE,YAAY,EAAE,CAAC,CAAC;AAC1D,SAAS;AACT,aAAa,MAAM,CAAC,OAAO,CAAC;AAC5B,aAAa,IAAI,CAAC,GAAG,CAAC,CAAC;AACvB,QAAQ,IAAI,OAAO,CAAC,OAAO,EAAE;AAC7B,YAAY,eAAe,CAAC,OAAO,GAAG,OAAO,CAAC,OAAO,CAAC;AACtD,SAAS;AACT,QAAQ,IAAI,OAAO,CAAC,QAAQ,EAAE;AAC9B,YAAY,eAAe,CAAC,SAAS,CAAC,QAAQ,GAAG,OAAO,CAAC,QAAQ,CAAC;AAClE,SAAS;AACT,QAAQ,IAAI,OAAO,CAAC,QAAQ,EAAE;AAC9B,YAAY,eAAe,CAAC,OAAO,CAAC,WAAW,CAAC,GAAG,OAAO,CAAC,QAAQ,CAAC;AACpE,SAAS;AACT,QAAQ,IAAI,CAAC,OAAO,GAAG,OAAO,CAAC,QAAQ,CAAC,eAAe,CAAC,CAAC;AACzD,QAAQ,IAAI,CAAC,OAAO,GAAG,iBAAiB,CAAC,IAAI,CAAC,OAAO,CAAC,CAAC,QAAQ,CAAC;AAChE,YAAY,GAAG,eAAe;AAC9B,YAAY,OAAO,EAAE,eAAe,CAAC,OAAO,CAAC,OAAO,CAAC,YAAY,EAAE,MAAM,CAAC;AAC1E,SAAS,CAAC,CAAC;AACX,QAAQ,IAAI,CAAC,GAAG,GAAG,MAAM,CAAC,MAAM,CAAC;AACjC,YAAY,KAAK,EAAE,MAAM,GAAG;AAC5B,YAAY,IAAI,EAAE,MAAM,GAAG;AAC3B,YAAY,IAAI,EAAE,OAAO,CAAC,IAAI,CAAC,IAAI,CAAC,OAAO,CAAC;AAC5C,YAAY,KAAK,EAAE,OAAO,CAAC,KAAK,CAAC,IAAI,CAAC,OAAO,CAAC;AAC9C,SAAS,EAAE,OAAO,CAAC,GAAG,CAAC,CAAC;AACxB,QAAQ,IAAI,CAAC,IAAI,GAAG,IAAI,CAAC;AACzB;AACA;AACA;AACA;AACA;AACA,QAAQ,IAAI,CAAC,OAAO,CAAC,YAAY,EAAE;AACnC,YAAY,IAAI,CAAC,OAAO,CAAC,IAAI,EAAE;AAC/B;AACA,gBAAgB,IAAI,CAAC,IAAI,GAAG,aAAa;AACzC,oBAAoB,IAAI,EAAE,iBAAiB;AAC3C,iBAAiB,CAAC,CAAC;AACnB,aAAa;AACb,iBAAiB;AACjB;AACA,gBAAgB,MAAM,IAAI,GAAG,eAAe,CAAC,OAAO,CAAC,IAAI,CAAC,CAAC;AAC3D;AACA,gBAAgB,IAAI,CAAC,IAAI,CAAC,SAAS,EAAE,IAAI,CAAC,IAAI,CAAC,CAAC;AAChD,gBAAgB,IAAI,CAAC,IAAI,GAAG,IAAI,CAAC;AACjC,aAAa;AACb,SAAS;AACT,aAAa;AACb,YAAY,MAAM,IAAI,GAAG,OAAO,CAAC,YAAY,CAAC,MAAM,CAAC,MAAM,CAAC;AAC5D,gBAAgB,OAAO,EAAE,IAAI,CAAC,OAAO;AACrC,aAAa,EAAE,OAAO,CAAC,IAAI,CAAC,CAAC,CAAC;AAC9B;AACA,YAAY,IAAI,CAAC,IAAI,CAAC,SAAS,EAAE,IAAI,CAAC,IAAI,CAAC,CAAC;AAC5C,YAAY,IAAI,CAAC,IAAI,GAAG,IAAI,CAAC;AAC7B,SAAS;AACT;AACA;AACA,QAAQ,MAAM,gBAAgB,GAAG,IAAI,CAAC,WAAW,CAAC;AAClD,QAAQ,gBAAgB,CAAC,OAAO,CAAC,OAAO,CAAC,CAAC,MAAM,KAAK;AACrD,YAAY,MAAM,CAAC,MAAM,CAAC,IAAI,EAAE,MAAM,CAAC,IAAI,EAAE,OAAO,CAAC,CAAC,CAAC;AACvD,SAAS,CAAC,CAAC;AACX,KAAK;AACL,IAAI,OAAO,QAAQ,CAAC,QAAQ,EAAE;AAC9B,QAAQ,MAAM,mBAAmB,GAAG,cAAc,IAAI,CAAC;AACvD,YAAY,WAAW,CAAC,GAAG,IAAI,EAAE;AACjC,gBAAgB,MAAM,OAAO,GAAG,IAAI,CAAC,CAAC,CAAC,IAAI,EAAE,CAAC;AAC9C,gBAAgB,IAAI,OAAO,QAAQ,KAAK,UAAU,EAAE;AACpD,oBAAoB,KAAK,CAAC,QAAQ,CAAC,OAAO,CAAC,CAAC,CAAC;AAC7C,oBAAoB,OAAO;AAC3B,iBAAiB;AACjB,gBAAgB,KAAK,CAAC,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,QAAQ,EAAE,OAAO,EAAE,OAAO,CAAC,SAAS,IAAI,QAAQ,CAAC,SAAS;AAClG,sBAAsB;AACtB,wBAAwB,SAAS,EAAE,CAAC,EAAE,OAAO,CAAC,SAAS,CAAC,CAAC,EAAE,QAAQ,CAAC,SAAS,CAAC,CAAC;AAC/E,qBAAqB;AACrB,sBAAsB,IAAI,CAAC,CAAC,CAAC;AAC7B,aAAa;AACb,SAAS,CAAC;AACV,QAAQ,OAAO,mBAAmB,CAAC;AACnC,KAAK;AACL;AACA;AACA;AACA;AACA;AACA;AACA,IAAI,OAAO,MAAM,CAAC,GAAG,UAAU,EAAE;AACjC,QAAQ,IAAI,EAAE,CAAC;AACf,QAAQ,MAAM,cAAc,GAAG,IAAI,CAAC,OAAO,CAAC;AAC5C,QAAQ,MAAM,UAAU,IAAI,EAAE,GAAG,cAAc,IAAI,CAAC;AACpD,aAAa;AACb,YAAY,EAAE,CAAC,OAAO,GAAG,cAAc,CAAC,MAAM,CAAC,UAAU,CAAC,MAAM,CAAC,CAAC,MAAM,KAAK,CAAC,cAAc,CAAC,QAAQ,CAAC,MAAM,CAAC,CAAC,CAAC;AAC/G,YAAY,EAAE,CAAC,CAAC;AAChB,QAAQ,OAAO,UAAU,CAAC;AAC1B,KAAK;AACL,CAAC;AACD,OAAO,CAAC,OAAO,GAAG,OAAO,CAAC;AAC1B,OAAO,CAAC,OAAO,GAAG,EAAE,CAAC;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/core/package.json b/node_modules/@octokit/core/package.json
new file mode 100644
index 000000000..a6e271627
--- /dev/null
+++ b/node_modules/@octokit/core/package.json
@@ -0,0 +1,93 @@
+{
+  "_args": [
+    [
+      "@octokit/core@3.1.1",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_from": "@octokit/core@3.1.1",
+  "_id": "@octokit/core@3.1.1",
+  "_inBundle": false,
+  "_integrity": "sha512-cQ2HGrtyNJ1IBxpTP1U5m/FkMAJvgw7d2j1q3c9P0XUuYilEgF6e4naTpsgm4iVcQeOnccZlw7XHRIUBy0ymcg==",
+  "_location": "/@octokit/core",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "@octokit/core@3.1.1",
+    "name": "@octokit/core",
+    "escapedName": "@octokit%2fcore",
+    "scope": "@octokit",
+    "rawSpec": "3.1.1",
+    "saveSpec": null,
+    "fetchSpec": "3.1.1"
+  },
+  "_requiredBy": [
+    "/@actions/github"
+  ],
+  "_resolved": "https://registry.npmjs.org/@octokit/core/-/core-3.1.1.tgz",
+  "_spec": "3.1.1",
+  "_where": "/workspace/readable-readme",
+  "bugs": {
+    "url": "https://github.com/octokit/core.js/issues"
+  },
+  "dependencies": {
+    "@octokit/auth-token": "^2.4.0",
+    "@octokit/graphql": "^4.3.1",
+    "@octokit/request": "^5.4.0",
+    "@octokit/types": "^5.0.0",
+    "before-after-hook": "^2.1.0",
+    "universal-user-agent": "^6.0.0"
+  },
+  "description": "Extendable client for GitHub's REST & GraphQL APIs",
+  "devDependencies": {
+    "@octokit/auth": "^2.0.0",
+    "@pika/pack": "^0.5.0",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
+    "@types/fetch-mock": "^7.3.1",
+    "@types/jest": "^26.0.0",
+    "@types/lolex": "^5.1.0",
+    "@types/node": "^14.0.4",
+    "@types/node-fetch": "^2.5.0",
+    "fetch-mock": "^9.0.0",
+    "http-proxy-agent": "^4.0.1",
+    "jest": "^25.1.0",
+    "lolex": "^6.0.0",
+    "prettier": "^2.0.4",
+    "proxy": "^1.0.1",
+    "semantic-release": "^17.0.0",
+    "semantic-release-plugin-update-version-in-files": "^1.0.0",
+    "ts-jest": "^25.1.0",
+    "typescript": "^3.5.3"
+  },
+  "files": [
+    "dist-*/",
+    "bin/"
+  ],
+  "homepage": "https://github.com/octokit/core.js#readme",
+  "keywords": [
+    "octokit",
+    "github",
+    "api",
+    "sdk",
+    "toolkit"
+  ],
+  "license": "MIT",
+  "main": "dist-node/index.js",
+  "module": "dist-web/index.js",
+  "name": "@octokit/core",
+  "pika": true,
+  "publishConfig": {
+    "access": "public"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/octokit/core.js.git"
+  },
+  "sideEffects": false,
+  "source": "dist-src/index.js",
+  "types": "dist-types/index.d.ts",
+  "version": "3.1.1"
+}
diff --git a/node_modules/@octokit/endpoint/README.md b/node_modules/@octokit/endpoint/README.md
index 5ac842972..ec54be2cf 100644
--- a/node_modules/@octokit/endpoint/README.md
+++ b/node_modules/@octokit/endpoint/README.md
@@ -4,22 +4,22 @@
 
 [![@latest](https://img.shields.io/npm/v/@octokit/endpoint.svg)](https://www.npmjs.com/package/@octokit/endpoint)
 ![Build Status](https://github.com/octokit/endpoint.js/workflows/Test/badge.svg)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/endpoint.js.svg)](https://greenkeeper.io/)
 
 `@octokit/endpoint` combines [GitHub REST API routes](https://developer.github.com/v3/) with your parameters and turns them into generic request options that can be used in any request library.
 
 <!-- update table of contents by running `npx markdown-toc README.md -i` -->
+
 <!-- toc -->
 
 - [Usage](#usage)
 - [API](#api)
-  - [endpoint()](#endpointroute-options-or-endpointoptions)
-  - [endpoint.defaults()](#endpointdefaults)
-  - [endpoint.DEFAULTS](#endpointdefaults-1)
-  - [endpoint.merge()](#endpointmergeroute-options-or-endpointmergeoptions)
-  - [endpoint.parse()](#endpointparse)
+  - [`endpoint(route, options)` or `endpoint(options)`](#endpointroute-options-or-endpointoptions)
+  - [`endpoint.defaults()`](#endpointdefaults)
+  - [`endpoint.DEFAULTS`](#endpointdefaults)
+  - [`endpoint.merge(route, options)` or `endpoint.merge(options)`](#endpointmergeroute-options-or-endpointmergeoptions)
+  - [`endpoint.parse()`](#endpointparse)
 - [Special cases](#special-cases)
-  - [The `data` parameter – set request body directly](#the-data-parameter--set-request-body-directly)
+  - [The `data` parameter – set request body directly](#the-data-parameter-%E2%80%93-set-request-body-directly)
   - [Set parameters for both the URL/query and the request body](#set-parameters-for-both-the-urlquery-and-the-request-body)
 - [LICENSE](#license)
 
@@ -61,10 +61,10 @@ Example for [List organization repositories](https://developer.github.com/v3/rep
 ```js
 const requestOptions = endpoint("GET /orgs/:org/repos", {
   headers: {
-    authorization: "token 0000000000000000000000000000000000000001"
+    authorization: "token 0000000000000000000000000000000000000001",
   },
   org: "octokit",
-  type: "private"
+  type: "private",
 });
 ```
 
@@ -283,10 +283,10 @@ const myEndpoint = require("@octokit/endpoint").defaults({
   baseUrl: "https://github-enterprise.acme-inc.com/api/v3",
   headers: {
     "user-agent": "myApp/1.2.3",
-    authorization: `token 0000000000000000000000000000000000000001`
+    authorization: `token 0000000000000000000000000000000000000001`,
   },
   org: "my-project",
-  per_page: 100
+  per_page: 100,
 });
 
 request(myEndpoint(`GET /orgs/:org/repos`));
@@ -298,14 +298,14 @@ You can call `.defaults()` again on the returned method, the defaults will casca
 const myProjectEndpoint = endpoint.defaults({
   baseUrl: "https://github-enterprise.acme-inc.com/api/v3",
   headers: {
-    "user-agent": "myApp/1.2.3"
+    "user-agent": "myApp/1.2.3",
   },
-  org: "my-project"
+  org: "my-project",
 });
 const myProjectEndpointWithAuth = myProjectEndpoint.defaults({
   headers: {
-    authorization: `token 0000000000000000000000000000000000000001`
-  }
+    authorization: `token 0000000000000000000000000000000000000001`,
+  },
 });
 ```
 
@@ -320,7 +320,7 @@ The current default options.
 ```js
 endpoint.DEFAULTS.baseUrl; // https://api.github.com
 const myEndpoint = endpoint.defaults({
-  baseUrl: "https://github-enterprise.acme-inc.com/api/v3"
+  baseUrl: "https://github-enterprise.acme-inc.com/api/v3",
 });
 myEndpoint.DEFAULTS.baseUrl; // https://github-enterprise.acme-inc.com/api/v3
 ```
@@ -333,16 +333,16 @@ Get the defaulted endpoint options, but without parsing them into request option
 const myProjectEndpoint = endpoint.defaults({
   baseUrl: "https://github-enterprise.acme-inc.com/api/v3",
   headers: {
-    "user-agent": "myApp/1.2.3"
+    "user-agent": "myApp/1.2.3",
   },
-  org: "my-project"
+  org: "my-project",
 });
 myProjectEndpoint.merge("GET /orgs/:org/repos", {
   headers: {
-    authorization: `token 0000000000000000000000000000000000000001`
+    authorization: `token 0000000000000000000000000000000000000001`,
   },
   org: "my-secret-project",
-  type: "private"
+  type: "private",
 });
 
 // {
@@ -377,8 +377,8 @@ const options = endpoint("POST /markdown/raw", {
   data: "Hello world github/linguist#1 **cool**, and #1!",
   headers: {
     accept: "text/html;charset=utf-8",
-    "content-type": "text/plain"
-  }
+    "content-type": "text/plain",
+  },
 });
 
 // options is
@@ -409,9 +409,9 @@ endpoint(
     headers: {
       "content-type": "text/plain",
       "content-length": 14,
-      authorization: `token 0000000000000000000000000000000000000001`
+      authorization: `token 0000000000000000000000000000000000000001`,
     },
-    data: "Hello, world!"
+    data: "Hello, world!",
   }
 );
 ```
diff --git a/node_modules/@octokit/endpoint/dist-node/index.js b/node_modules/@octokit/endpoint/dist-node/index.js
index 9655dc596..85ff4bfcd 100644
--- a/node_modules/@octokit/endpoint/dist-node/index.js
+++ b/node_modules/@octokit/endpoint/dist-node/index.js
@@ -355,7 +355,7 @@ function withDefaults(oldDefaults, newDefaults) {
   });
 }
 
-const VERSION = "5.5.2";
+const VERSION = "6.0.5";
 
 const userAgent = `octokit-endpoint.js/${VERSION} ${universalUserAgent.getUserAgent()}`; // DEFAULTS has all properties set that EndpointOptions has, except url.
 // So we use RequestParameters and add method as additional required property.
diff --git a/node_modules/@octokit/endpoint/dist-node/index.js.map b/node_modules/@octokit/endpoint/dist-node/index.js.map
index 4614b2e2f..3132661b0 100644
--- a/node_modules/@octokit/endpoint/dist-node/index.js.map
+++ b/node_modules/@octokit/endpoint/dist-node/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/util/lowercase-keys.js","../dist-src/util/merge-deep.js","../dist-src/merge.js","../dist-src/util/add-query-parameters.js","../dist-src/util/extract-url-variable-names.js","../dist-src/util/omit.js","../dist-src/util/url-template.js","../dist-src/parse.js","../dist-src/endpoint-with-defaults.js","../dist-src/with-defaults.js","../dist-src/version.js","../dist-src/defaults.js","../dist-src/index.js"],"sourcesContent":["export function lowercaseKeys(object) {\n    if (!object) {\n        return {};\n    }\n    return Object.keys(object).reduce((newObj, key) => {\n        newObj[key.toLowerCase()] = object[key];\n        return newObj;\n    }, {});\n}\n","import isPlainObject from \"is-plain-object\";\nexport function mergeDeep(defaults, options) {\n    const result = Object.assign({}, defaults);\n    Object.keys(options).forEach(key => {\n        if (isPlainObject(options[key])) {\n            if (!(key in defaults))\n                Object.assign(result, { [key]: options[key] });\n            else\n                result[key] = mergeDeep(defaults[key], options[key]);\n        }\n        else {\n            Object.assign(result, { [key]: options[key] });\n        }\n    });\n    return result;\n}\n","import { lowercaseKeys } from \"./util/lowercase-keys\";\nimport { mergeDeep } from \"./util/merge-deep\";\nexport function merge(defaults, route, options) {\n    if (typeof route === \"string\") {\n        let [method, url] = route.split(\" \");\n        options = Object.assign(url ? { method, url } : { url: method }, options);\n    }\n    else {\n        options = Object.assign({}, route);\n    }\n    // lowercase header names before merging with defaults to avoid duplicates\n    options.headers = lowercaseKeys(options.headers);\n    const mergedOptions = mergeDeep(defaults || {}, options);\n    // mediaType.previews arrays are merged, instead of overwritten\n    if (defaults && defaults.mediaType.previews.length) {\n        mergedOptions.mediaType.previews = defaults.mediaType.previews\n            .filter(preview => !mergedOptions.mediaType.previews.includes(preview))\n            .concat(mergedOptions.mediaType.previews);\n    }\n    mergedOptions.mediaType.previews = mergedOptions.mediaType.previews.map((preview) => preview.replace(/-preview/, \"\"));\n    return mergedOptions;\n}\n","export function addQueryParameters(url, parameters) {\n    const separator = /\\?/.test(url) ? \"&\" : \"?\";\n    const names = Object.keys(parameters);\n    if (names.length === 0) {\n        return url;\n    }\n    return (url +\n        separator +\n        names\n            .map(name => {\n            if (name === \"q\") {\n                return (\"q=\" +\n                    parameters\n                        .q.split(\"+\")\n                        .map(encodeURIComponent)\n                        .join(\"+\"));\n            }\n            return `${name}=${encodeURIComponent(parameters[name])}`;\n        })\n            .join(\"&\"));\n}\n","const urlVariableRegex = /\\{[^}]+\\}/g;\nfunction removeNonChars(variableName) {\n    return variableName.replace(/^\\W+|\\W+$/g, \"\").split(/,/);\n}\nexport function extractUrlVariableNames(url) {\n    const matches = url.match(urlVariableRegex);\n    if (!matches) {\n        return [];\n    }\n    return matches.map(removeNonChars).reduce((a, b) => a.concat(b), []);\n}\n","export function omit(object, keysToOmit) {\n    return Object.keys(object)\n        .filter(option => !keysToOmit.includes(option))\n        .reduce((obj, key) => {\n        obj[key] = object[key];\n        return obj;\n    }, {});\n}\n","// Based on https://github.com/bramstein/url-template, licensed under BSD\n// TODO: create separate package.\n//\n// Copyright (c) 2012-2014, Bram Stein\n// All rights reserved.\n// Redistribution and use in source and binary forms, with or without\n// modification, are permitted provided that the following conditions\n// are met:\n//  1. Redistributions of source code must retain the above copyright\n//     notice, this list of conditions and the following disclaimer.\n//  2. Redistributions in binary form must reproduce the above copyright\n//     notice, this list of conditions and the following disclaimer in the\n//     documentation and/or other materials provided with the distribution.\n//  3. The name of the author may not be used to endorse or promote products\n//     derived from this software without specific prior written permission.\n// THIS SOFTWARE IS PROVIDED BY THE AUTHOR \"AS IS\" AND ANY EXPRESS OR IMPLIED\n// WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF\n// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO\n// EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,\n// INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,\n// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\n// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY\n// OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\n// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,\n// EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n/* istanbul ignore file */\nfunction encodeReserved(str) {\n    return str\n        .split(/(%[0-9A-Fa-f]{2})/g)\n        .map(function (part) {\n        if (!/%[0-9A-Fa-f]/.test(part)) {\n            part = encodeURI(part)\n                .replace(/%5B/g, \"[\")\n                .replace(/%5D/g, \"]\");\n        }\n        return part;\n    })\n        .join(\"\");\n}\nfunction encodeUnreserved(str) {\n    return encodeURIComponent(str).replace(/[!'()*]/g, function (c) {\n        return (\"%\" +\n            c\n                .charCodeAt(0)\n                .toString(16)\n                .toUpperCase());\n    });\n}\nfunction encodeValue(operator, value, key) {\n    value =\n        operator === \"+\" || operator === \"#\"\n            ? encodeReserved(value)\n            : encodeUnreserved(value);\n    if (key) {\n        return encodeUnreserved(key) + \"=\" + value;\n    }\n    else {\n        return value;\n    }\n}\nfunction isDefined(value) {\n    return value !== undefined && value !== null;\n}\nfunction isKeyOperator(operator) {\n    return operator === \";\" || operator === \"&\" || operator === \"?\";\n}\nfunction getValues(context, operator, key, modifier) {\n    var value = context[key], result = [];\n    if (isDefined(value) && value !== \"\") {\n        if (typeof value === \"string\" ||\n            typeof value === \"number\" ||\n            typeof value === \"boolean\") {\n            value = value.toString();\n            if (modifier && modifier !== \"*\") {\n                value = value.substring(0, parseInt(modifier, 10));\n            }\n            result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : \"\"));\n        }\n        else {\n            if (modifier === \"*\") {\n                if (Array.isArray(value)) {\n                    value.filter(isDefined).forEach(function (value) {\n                        result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : \"\"));\n                    });\n                }\n                else {\n                    Object.keys(value).forEach(function (k) {\n                        if (isDefined(value[k])) {\n                            result.push(encodeValue(operator, value[k], k));\n                        }\n                    });\n                }\n            }\n            else {\n                const tmp = [];\n                if (Array.isArray(value)) {\n                    value.filter(isDefined).forEach(function (value) {\n                        tmp.push(encodeValue(operator, value));\n                    });\n                }\n                else {\n                    Object.keys(value).forEach(function (k) {\n                        if (isDefined(value[k])) {\n                            tmp.push(encodeUnreserved(k));\n                            tmp.push(encodeValue(operator, value[k].toString()));\n                        }\n                    });\n                }\n                if (isKeyOperator(operator)) {\n                    result.push(encodeUnreserved(key) + \"=\" + tmp.join(\",\"));\n                }\n                else if (tmp.length !== 0) {\n                    result.push(tmp.join(\",\"));\n                }\n            }\n        }\n    }\n    else {\n        if (operator === \";\") {\n            if (isDefined(value)) {\n                result.push(encodeUnreserved(key));\n            }\n        }\n        else if (value === \"\" && (operator === \"&\" || operator === \"?\")) {\n            result.push(encodeUnreserved(key) + \"=\");\n        }\n        else if (value === \"\") {\n            result.push(\"\");\n        }\n    }\n    return result;\n}\nexport function parseUrl(template) {\n    return {\n        expand: expand.bind(null, template)\n    };\n}\nfunction expand(template, context) {\n    var operators = [\"+\", \"#\", \".\", \"/\", \";\", \"?\", \"&\"];\n    return template.replace(/\\{([^\\{\\}]+)\\}|([^\\{\\}]+)/g, function (_, expression, literal) {\n        if (expression) {\n            let operator = \"\";\n            const values = [];\n            if (operators.indexOf(expression.charAt(0)) !== -1) {\n                operator = expression.charAt(0);\n                expression = expression.substr(1);\n            }\n            expression.split(/,/g).forEach(function (variable) {\n                var tmp = /([^:\\*]*)(?::(\\d+)|(\\*))?/.exec(variable);\n                values.push(getValues(context, operator, tmp[1], tmp[2] || tmp[3]));\n            });\n            if (operator && operator !== \"+\") {\n                var separator = \",\";\n                if (operator === \"?\") {\n                    separator = \"&\";\n                }\n                else if (operator !== \"#\") {\n                    separator = operator;\n                }\n                return (values.length !== 0 ? operator : \"\") + values.join(separator);\n            }\n            else {\n                return values.join(\",\");\n            }\n        }\n        else {\n            return encodeReserved(literal);\n        }\n    });\n}\n","import { addQueryParameters } from \"./util/add-query-parameters\";\nimport { extractUrlVariableNames } from \"./util/extract-url-variable-names\";\nimport { omit } from \"./util/omit\";\nimport { parseUrl } from \"./util/url-template\";\nexport function parse(options) {\n    // https://fetch.spec.whatwg.org/#methods\n    let method = options.method.toUpperCase();\n    // replace :varname with {varname} to make it RFC 6570 compatible\n    let url = (options.url || \"/\").replace(/:([a-z]\\w+)/g, \"{+$1}\");\n    let headers = Object.assign({}, options.headers);\n    let body;\n    let parameters = omit(options, [\n        \"method\",\n        \"baseUrl\",\n        \"url\",\n        \"headers\",\n        \"request\",\n        \"mediaType\"\n    ]);\n    // extract variable names from URL to calculate remaining variables later\n    const urlVariableNames = extractUrlVariableNames(url);\n    url = parseUrl(url).expand(parameters);\n    if (!/^http/.test(url)) {\n        url = options.baseUrl + url;\n    }\n    const omittedParameters = Object.keys(options)\n        .filter(option => urlVariableNames.includes(option))\n        .concat(\"baseUrl\");\n    const remainingParameters = omit(parameters, omittedParameters);\n    const isBinaryRequset = /application\\/octet-stream/i.test(headers.accept);\n    if (!isBinaryRequset) {\n        if (options.mediaType.format) {\n            // e.g. application/vnd.github.v3+json => application/vnd.github.v3.raw\n            headers.accept = headers.accept\n                .split(/,/)\n                .map(preview => preview.replace(/application\\/vnd(\\.\\w+)(\\.v3)?(\\.\\w+)?(\\+json)?$/, `application/vnd$1$2.${options.mediaType.format}`))\n                .join(\",\");\n        }\n        if (options.mediaType.previews.length) {\n            const previewsFromAcceptHeader = headers.accept.match(/[\\w-]+(?=-preview)/g) || [];\n            headers.accept = previewsFromAcceptHeader\n                .concat(options.mediaType.previews)\n                .map(preview => {\n                const format = options.mediaType.format\n                    ? `.${options.mediaType.format}`\n                    : \"+json\";\n                return `application/vnd.github.${preview}-preview${format}`;\n            })\n                .join(\",\");\n        }\n    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+{"version":3,"file":"index.js","sources":["../dist-src/util/lowercase-keys.js","../dist-src/util/merge-deep.js","../dist-src/merge.js","../dist-src/util/add-query-parameters.js","../dist-src/util/extract-url-variable-names.js","../dist-src/util/omit.js","../dist-src/util/url-template.js","../dist-src/parse.js","../dist-src/endpoint-with-defaults.js","../dist-src/with-defaults.js","../dist-src/version.js","../dist-src/defaults.js","../dist-src/index.js"],"sourcesContent":["export function lowercaseKeys(object) {\n    if (!object) {\n        return {};\n    }\n    return Object.keys(object).reduce((newObj, key) => {\n        newObj[key.toLowerCase()] = object[key];\n        return newObj;\n    }, {});\n}\n","import isPlainObject from \"is-plain-object\";\nexport function mergeDeep(defaults, options) {\n    const result = Object.assign({}, defaults);\n    Object.keys(options).forEach((key) => {\n        if (isPlainObject(options[key])) {\n            if (!(key in defaults))\n                Object.assign(result, { [key]: options[key] });\n            else\n                result[key] = mergeDeep(defaults[key], options[key]);\n        }\n        else {\n            Object.assign(result, { [key]: options[key] });\n        }\n    });\n    return result;\n}\n","import { lowercaseKeys } from \"./util/lowercase-keys\";\nimport { mergeDeep } from \"./util/merge-deep\";\nexport function merge(defaults, route, options) {\n    if (typeof route === \"string\") {\n        let [method, url] = route.split(\" \");\n        options = Object.assign(url ? { method, url } : { url: method }, options);\n    }\n    else {\n        options = Object.assign({}, route);\n    }\n    // lowercase header names before merging with defaults to avoid duplicates\n    options.headers = lowercaseKeys(options.headers);\n    const mergedOptions = mergeDeep(defaults || {}, options);\n    // mediaType.previews arrays are merged, instead of overwritten\n    if (defaults && defaults.mediaType.previews.length) {\n        mergedOptions.mediaType.previews = defaults.mediaType.previews\n            .filter((preview) => !mergedOptions.mediaType.previews.includes(preview))\n            .concat(mergedOptions.mediaType.previews);\n    }\n    mergedOptions.mediaType.previews = mergedOptions.mediaType.previews.map((preview) => preview.replace(/-preview/, \"\"));\n    return mergedOptions;\n}\n","export function addQueryParameters(url, parameters) {\n    const separator = /\\?/.test(url) ? \"&\" : \"?\";\n    const names = Object.keys(parameters);\n    if (names.length === 0) {\n        return url;\n    }\n    return (url +\n        separator +\n        names\n            .map((name) => {\n            if (name === \"q\") {\n                return (\"q=\" + parameters.q.split(\"+\").map(encodeURIComponent).join(\"+\"));\n            }\n            return `${name}=${encodeURIComponent(parameters[name])}`;\n        })\n            .join(\"&\"));\n}\n","const urlVariableRegex = /\\{[^}]+\\}/g;\nfunction removeNonChars(variableName) {\n    return variableName.replace(/^\\W+|\\W+$/g, \"\").split(/,/);\n}\nexport function extractUrlVariableNames(url) {\n    const matches = url.match(urlVariableRegex);\n    if (!matches) {\n        return [];\n    }\n    return matches.map(removeNonChars).reduce((a, b) => a.concat(b), []);\n}\n","export function omit(object, keysToOmit) {\n    return Object.keys(object)\n        .filter((option) => !keysToOmit.includes(option))\n        .reduce((obj, key) => {\n        obj[key] = object[key];\n        return obj;\n    }, {});\n}\n","// Based on https://github.com/bramstein/url-template, licensed under BSD\n// TODO: create separate package.\n//\n// Copyright (c) 2012-2014, Bram Stein\n// All rights reserved.\n// Redistribution and use in source and binary forms, with or without\n// modification, are permitted provided that the following conditions\n// are met:\n//  1. Redistributions of source code must retain the above copyright\n//     notice, this list of conditions and the following disclaimer.\n//  2. Redistributions in binary form must reproduce the above copyright\n//     notice, this list of conditions and the following disclaimer in the\n//     documentation and/or other materials provided with the distribution.\n//  3. The name of the author may not be used to endorse or promote products\n//     derived from this software without specific prior written permission.\n// THIS SOFTWARE IS PROVIDED BY THE AUTHOR \"AS IS\" AND ANY EXPRESS OR IMPLIED\n// WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF\n// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO\n// EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,\n// INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,\n// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\n// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY\n// OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\n// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,\n// EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n/* istanbul ignore file */\nfunction encodeReserved(str) {\n    return str\n        .split(/(%[0-9A-Fa-f]{2})/g)\n        .map(function (part) {\n        if (!/%[0-9A-Fa-f]/.test(part)) {\n            part = encodeURI(part).replace(/%5B/g, \"[\").replace(/%5D/g, \"]\");\n        }\n        return part;\n    })\n        .join(\"\");\n}\nfunction encodeUnreserved(str) {\n    return encodeURIComponent(str).replace(/[!'()*]/g, function (c) {\n        return \"%\" + c.charCodeAt(0).toString(16).toUpperCase();\n    });\n}\nfunction encodeValue(operator, value, key) {\n    value =\n        operator === \"+\" || operator === \"#\"\n            ? encodeReserved(value)\n            : encodeUnreserved(value);\n    if (key) {\n        return encodeUnreserved(key) + \"=\" + value;\n    }\n    else {\n        return value;\n    }\n}\nfunction isDefined(value) {\n    return value !== undefined && value !== null;\n}\nfunction isKeyOperator(operator) {\n    return operator === \";\" || operator === \"&\" || operator === \"?\";\n}\nfunction getValues(context, operator, key, modifier) {\n    var value = context[key], result = [];\n    if (isDefined(value) && value !== \"\") {\n        if (typeof value === \"string\" ||\n            typeof value === \"number\" ||\n            typeof value === \"boolean\") {\n            value = value.toString();\n            if (modifier && modifier !== \"*\") {\n                value = value.substring(0, parseInt(modifier, 10));\n            }\n            result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : \"\"));\n        }\n        else {\n            if (modifier === \"*\") {\n                if (Array.isArray(value)) {\n                    value.filter(isDefined).forEach(function (value) {\n                        result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : \"\"));\n                    });\n                }\n                else {\n                    Object.keys(value).forEach(function (k) {\n                        if (isDefined(value[k])) {\n                            result.push(encodeValue(operator, value[k], k));\n                        }\n                    });\n                }\n            }\n            else {\n                const tmp = [];\n                if (Array.isArray(value)) {\n                    value.filter(isDefined).forEach(function (value) {\n                        tmp.push(encodeValue(operator, value));\n                    });\n                }\n                else {\n                    Object.keys(value).forEach(function (k) {\n                        if (isDefined(value[k])) {\n                            tmp.push(encodeUnreserved(k));\n                            tmp.push(encodeValue(operator, value[k].toString()));\n                        }\n                    });\n                }\n                if (isKeyOperator(operator)) {\n                    result.push(encodeUnreserved(key) + \"=\" + tmp.join(\",\"));\n                }\n                else if (tmp.length !== 0) {\n                    result.push(tmp.join(\",\"));\n                }\n            }\n        }\n    }\n    else {\n        if (operator === \";\") {\n            if (isDefined(value)) {\n                result.push(encodeUnreserved(key));\n            }\n        }\n        else if (value === \"\" && (operator === \"&\" || operator === \"?\")) {\n            result.push(encodeUnreserved(key) + 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operator !== \"+\") {\n                var separator = \",\";\n                if (operator === \"?\") {\n                    separator = \"&\";\n                }\n                else if (operator !== \"#\") {\n                    separator = operator;\n                }\n                return (values.length !== 0 ? operator : \"\") + values.join(separator);\n            }\n            else {\n                return values.join(\",\");\n            }\n        }\n        else {\n            return encodeReserved(literal);\n        }\n    });\n}\n","import { addQueryParameters } from \"./util/add-query-parameters\";\nimport { extractUrlVariableNames } from \"./util/extract-url-variable-names\";\nimport { omit } from \"./util/omit\";\nimport { parseUrl } from \"./util/url-template\";\nexport function parse(options) {\n    // https://fetch.spec.whatwg.org/#methods\n    let method = options.method.toUpperCase();\n    // replace :varname with {varname} to make it RFC 6570 compatible\n    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body === \"undefined\") {\n        body = \"\";\n    }\n    // Only return body/request keys if present\n    return Object.assign({ method, url, headers }, typeof body !== \"undefined\" ? { body } : null, options.request ? { request: options.request } : null);\n}\n","import { merge } from \"./merge\";\nimport { parse } from \"./parse\";\nexport function endpointWithDefaults(defaults, route, options) {\n    return parse(merge(defaults, route, options));\n}\n","import { endpointWithDefaults } from \"./endpoint-with-defaults\";\nimport { merge } from \"./merge\";\nimport { parse } from \"./parse\";\nexport function withDefaults(oldDefaults, newDefaults) {\n    const DEFAULTS = merge(oldDefaults, newDefaults);\n    const endpoint = endpointWithDefaults.bind(null, DEFAULTS);\n    return Object.assign(endpoint, {\n        DEFAULTS,\n        defaults: withDefaults.bind(null, DEFAULTS),\n        merge: merge.bind(null, DEFAULTS),\n        parse,\n    });\n}\n","export const VERSION = 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\ No newline at end of file
diff --git a/node_modules/@octokit/endpoint/dist-src/defaults.js b/node_modules/@octokit/endpoint/dist-src/defaults.js
index e1e53fbc8..456e586ad 100644
--- a/node_modules/@octokit/endpoint/dist-src/defaults.js
+++ b/node_modules/@octokit/endpoint/dist-src/defaults.js
@@ -8,10 +8,10 @@ export const DEFAULTS = {
     baseUrl: "https://api.github.com",
     headers: {
         accept: "application/vnd.github.v3+json",
-        "user-agent": userAgent
+        "user-agent": userAgent,
     },
     mediaType: {
         format: "",
-        previews: []
-    }
+        previews: [],
+    },
 };
diff --git a/node_modules/@octokit/endpoint/dist-src/merge.js b/node_modules/@octokit/endpoint/dist-src/merge.js
index a209ffa1d..d79ae65b6 100644
--- a/node_modules/@octokit/endpoint/dist-src/merge.js
+++ b/node_modules/@octokit/endpoint/dist-src/merge.js
@@ -14,7 +14,7 @@ export function merge(defaults, route, options) {
     // mediaType.previews arrays are merged, instead of overwritten
     if (defaults && defaults.mediaType.previews.length) {
         mergedOptions.mediaType.previews = defaults.mediaType.previews
-            .filter(preview => !mergedOptions.mediaType.previews.includes(preview))
+            .filter((preview) => !mergedOptions.mediaType.previews.includes(preview))
             .concat(mergedOptions.mediaType.previews);
     }
     mergedOptions.mediaType.previews = mergedOptions.mediaType.previews.map((preview) => preview.replace(/-preview/, ""));
diff --git a/node_modules/@octokit/endpoint/dist-src/parse.js b/node_modules/@octokit/endpoint/dist-src/parse.js
index ca68ca9fd..91197c837 100644
--- a/node_modules/@octokit/endpoint/dist-src/parse.js
+++ b/node_modules/@octokit/endpoint/dist-src/parse.js
@@ -15,7 +15,7 @@ export function parse(options) {
         "url",
         "headers",
         "request",
-        "mediaType"
+        "mediaType",
     ]);
     // extract variable names from URL to calculate remaining variables later
     const urlVariableNames = extractUrlVariableNames(url);
@@ -24,7 +24,7 @@ export function parse(options) {
         url = options.baseUrl + url;
     }
     const omittedParameters = Object.keys(options)
-        .filter(option => urlVariableNames.includes(option))
+        .filter((option) => urlVariableNames.includes(option))
         .concat("baseUrl");
     const remainingParameters = omit(parameters, omittedParameters);
     const isBinaryRequset = /application\/octet-stream/i.test(headers.accept);
@@ -33,14 +33,14 @@ export function parse(options) {
             // e.g. application/vnd.github.v3+json => application/vnd.github.v3.raw
             headers.accept = headers.accept
                 .split(/,/)
-                .map(preview => preview.replace(/application\/vnd(\.\w+)(\.v3)?(\.\w+)?(\+json)?$/, `application/vnd$1$2.${options.mediaType.format}`))
+                .map((preview) => preview.replace(/application\/vnd(\.\w+)(\.v3)?(\.\w+)?(\+json)?$/, `application/vnd$1$2.${options.mediaType.format}`))
                 .join(",");
         }
         if (options.mediaType.previews.length) {
             const previewsFromAcceptHeader = headers.accept.match(/[\w-]+(?=-preview)/g) || [];
             headers.accept = previewsFromAcceptHeader
                 .concat(options.mediaType.previews)
-                .map(preview => {
+                .map((preview) => {
                 const format = options.mediaType.format
                     ? `.${options.mediaType.format}`
                     : "+json";
diff --git a/node_modules/@octokit/endpoint/dist-src/util/add-query-parameters.js b/node_modules/@octokit/endpoint/dist-src/util/add-query-parameters.js
index a78812f77..d26be314c 100644
--- a/node_modules/@octokit/endpoint/dist-src/util/add-query-parameters.js
+++ b/node_modules/@octokit/endpoint/dist-src/util/add-query-parameters.js
@@ -7,13 +7,9 @@ export function addQueryParameters(url, parameters) {
     return (url +
         separator +
         names
-            .map(name => {
+            .map((name) => {
             if (name === "q") {
-                return ("q=" +
-                    parameters
-                        .q.split("+")
-                        .map(encodeURIComponent)
-                        .join("+"));
+                return ("q=" + parameters.q.split("+").map(encodeURIComponent).join("+"));
             }
             return `${name}=${encodeURIComponent(parameters[name])}`;
         })
diff --git a/node_modules/@octokit/endpoint/dist-src/util/merge-deep.js b/node_modules/@octokit/endpoint/dist-src/util/merge-deep.js
index d1c5402d9..eca9a72b6 100644
--- a/node_modules/@octokit/endpoint/dist-src/util/merge-deep.js
+++ b/node_modules/@octokit/endpoint/dist-src/util/merge-deep.js
@@ -1,7 +1,7 @@
 import isPlainObject from "is-plain-object";
 export function mergeDeep(defaults, options) {
     const result = Object.assign({}, defaults);
-    Object.keys(options).forEach(key => {
+    Object.keys(options).forEach((key) => {
         if (isPlainObject(options[key])) {
             if (!(key in defaults))
                 Object.assign(result, { [key]: options[key] });
diff --git a/node_modules/@octokit/endpoint/dist-src/util/omit.js b/node_modules/@octokit/endpoint/dist-src/util/omit.js
index 7e1aa6b4b..62450310d 100644
--- a/node_modules/@octokit/endpoint/dist-src/util/omit.js
+++ b/node_modules/@octokit/endpoint/dist-src/util/omit.js
@@ -1,6 +1,6 @@
 export function omit(object, keysToOmit) {
     return Object.keys(object)
-        .filter(option => !keysToOmit.includes(option))
+        .filter((option) => !keysToOmit.includes(option))
         .reduce((obj, key) => {
         obj[key] = object[key];
         return obj;
diff --git a/node_modules/@octokit/endpoint/dist-src/util/url-template.js b/node_modules/@octokit/endpoint/dist-src/util/url-template.js
index f6d9885ee..439b3feec 100644
--- a/node_modules/@octokit/endpoint/dist-src/util/url-template.js
+++ b/node_modules/@octokit/endpoint/dist-src/util/url-template.js
@@ -29,9 +29,7 @@ function encodeReserved(str) {
         .split(/(%[0-9A-Fa-f]{2})/g)
         .map(function (part) {
         if (!/%[0-9A-Fa-f]/.test(part)) {
-            part = encodeURI(part)
-                .replace(/%5B/g, "[")
-                .replace(/%5D/g, "]");
+            part = encodeURI(part).replace(/%5B/g, "[").replace(/%5D/g, "]");
         }
         return part;
     })
@@ -39,11 +37,7 @@ function encodeReserved(str) {
 }
 function encodeUnreserved(str) {
     return encodeURIComponent(str).replace(/[!'()*]/g, function (c) {
-        return ("%" +
-            c
-                .charCodeAt(0)
-                .toString(16)
-                .toUpperCase());
+        return "%" + c.charCodeAt(0).toString(16).toUpperCase();
     });
 }
 function encodeValue(operator, value, key) {
@@ -132,7 +126,7 @@ function getValues(context, operator, key, modifier) {
 }
 export function parseUrl(template) {
     return {
-        expand: expand.bind(null, template)
+        expand: expand.bind(null, template),
     };
 }
 function expand(template, context) {
diff --git a/node_modules/@octokit/endpoint/dist-src/version.js b/node_modules/@octokit/endpoint/dist-src/version.js
index 3d363eff8..8ab3ef48d 100644
--- a/node_modules/@octokit/endpoint/dist-src/version.js
+++ b/node_modules/@octokit/endpoint/dist-src/version.js
@@ -1 +1 @@
-export const VERSION = "5.5.2";
+export const VERSION = "6.0.5";
diff --git a/node_modules/@octokit/endpoint/dist-src/with-defaults.js b/node_modules/@octokit/endpoint/dist-src/with-defaults.js
index 9a1c886ab..81baf6cfb 100644
--- a/node_modules/@octokit/endpoint/dist-src/with-defaults.js
+++ b/node_modules/@octokit/endpoint/dist-src/with-defaults.js
@@ -8,6 +8,6 @@ export function withDefaults(oldDefaults, newDefaults) {
         DEFAULTS,
         defaults: withDefaults.bind(null, DEFAULTS),
         merge: merge.bind(null, DEFAULTS),
-        parse
+        parse,
     });
 }
diff --git a/node_modules/@octokit/endpoint/dist-types/index.d.ts b/node_modules/@octokit/endpoint/dist-types/index.d.ts
index 17be8553c..1ede13667 100644
--- a/node_modules/@octokit/endpoint/dist-types/index.d.ts
+++ b/node_modules/@octokit/endpoint/dist-types/index.d.ts
@@ -1 +1 @@
-export declare const endpoint: import("@octokit/types").EndpointInterface;
+export declare const endpoint: import("@octokit/types").EndpointInterface<object>;
diff --git a/node_modules/@octokit/endpoint/dist-types/version.d.ts b/node_modules/@octokit/endpoint/dist-types/version.d.ts
index a79473ee7..191fca6e7 100644
--- a/node_modules/@octokit/endpoint/dist-types/version.d.ts
+++ b/node_modules/@octokit/endpoint/dist-types/version.d.ts
@@ -1 +1 @@
-export declare const VERSION = "5.5.2";
+export declare const VERSION = "6.0.5";
diff --git a/node_modules/@octokit/endpoint/dist-web/index.js b/node_modules/@octokit/endpoint/dist-web/index.js
index d2bf74bd6..55aafc956 100644
--- a/node_modules/@octokit/endpoint/dist-web/index.js
+++ b/node_modules/@octokit/endpoint/dist-web/index.js
@@ -13,7 +13,7 @@ function lowercaseKeys(object) {
 
 function mergeDeep(defaults, options) {
     const result = Object.assign({}, defaults);
-    Object.keys(options).forEach(key => {
+    Object.keys(options).forEach((key) => {
         if (isPlainObject(options[key])) {
             if (!(key in defaults))
                 Object.assign(result, { [key]: options[key] });
@@ -41,7 +41,7 @@ function merge(defaults, route, options) {
     // mediaType.previews arrays are merged, instead of overwritten
     if (defaults && defaults.mediaType.previews.length) {
         mergedOptions.mediaType.previews = defaults.mediaType.previews
-            .filter(preview => !mergedOptions.mediaType.previews.includes(preview))
+            .filter((preview) => !mergedOptions.mediaType.previews.includes(preview))
             .concat(mergedOptions.mediaType.previews);
     }
     mergedOptions.mediaType.previews = mergedOptions.mediaType.previews.map((preview) => preview.replace(/-preview/, ""));
@@ -57,13 +57,9 @@ function addQueryParameters(url, parameters) {
     return (url +
         separator +
         names
-            .map(name => {
+            .map((name) => {
             if (name === "q") {
-                return ("q=" +
-                    parameters
-                        .q.split("+")
-                        .map(encodeURIComponent)
-                        .join("+"));
+                return ("q=" + parameters.q.split("+").map(encodeURIComponent).join("+"));
             }
             return `${name}=${encodeURIComponent(parameters[name])}`;
         })
@@ -84,7 +80,7 @@ function extractUrlVariableNames(url) {
 
 function omit(object, keysToOmit) {
     return Object.keys(object)
-        .filter(option => !keysToOmit.includes(option))
+        .filter((option) => !keysToOmit.includes(option))
         .reduce((obj, key) => {
         obj[key] = object[key];
         return obj;
@@ -122,9 +118,7 @@ function encodeReserved(str) {
         .split(/(%[0-9A-Fa-f]{2})/g)
         .map(function (part) {
         if (!/%[0-9A-Fa-f]/.test(part)) {
-            part = encodeURI(part)
-                .replace(/%5B/g, "[")
-                .replace(/%5D/g, "]");
+            part = encodeURI(part).replace(/%5B/g, "[").replace(/%5D/g, "]");
         }
         return part;
     })
@@ -132,11 +126,7 @@ function encodeReserved(str) {
 }
 function encodeUnreserved(str) {
     return encodeURIComponent(str).replace(/[!'()*]/g, function (c) {
-        return ("%" +
-            c
-                .charCodeAt(0)
-                .toString(16)
-                .toUpperCase());
+        return "%" + c.charCodeAt(0).toString(16).toUpperCase();
     });
 }
 function encodeValue(operator, value, key) {
@@ -225,7 +215,7 @@ function getValues(context, operator, key, modifier) {
 }
 function parseUrl(template) {
     return {
-        expand: expand.bind(null, template)
+        expand: expand.bind(null, template),
     };
 }
 function expand(template, context) {
@@ -275,7 +265,7 @@ function parse(options) {
         "url",
         "headers",
         "request",
-        "mediaType"
+        "mediaType",
     ]);
     // extract variable names from URL to calculate remaining variables later
     const urlVariableNames = extractUrlVariableNames(url);
@@ -284,7 +274,7 @@ function parse(options) {
         url = options.baseUrl + url;
     }
     const omittedParameters = Object.keys(options)
-        .filter(option => urlVariableNames.includes(option))
+        .filter((option) => urlVariableNames.includes(option))
         .concat("baseUrl");
     const remainingParameters = omit(parameters, omittedParameters);
     const isBinaryRequset = /application\/octet-stream/i.test(headers.accept);
@@ -293,14 +283,14 @@ function parse(options) {
             // e.g. application/vnd.github.v3+json => application/vnd.github.v3.raw
             headers.accept = headers.accept
                 .split(/,/)
-                .map(preview => preview.replace(/application\/vnd(\.\w+)(\.v3)?(\.\w+)?(\+json)?$/, `application/vnd$1$2.${options.mediaType.format}`))
+                .map((preview) => preview.replace(/application\/vnd(\.\w+)(\.v3)?(\.\w+)?(\+json)?$/, `application/vnd$1$2.${options.mediaType.format}`))
                 .join(",");
         }
         if (options.mediaType.previews.length) {
             const previewsFromAcceptHeader = headers.accept.match(/[\w-]+(?=-preview)/g) || [];
             headers.accept = previewsFromAcceptHeader
                 .concat(options.mediaType.previews)
-                .map(preview => {
+                .map((preview) => {
                 const format = options.mediaType.format
                     ? `.${options.mediaType.format}`
                     : "+json";
@@ -351,11 +341,11 @@ function withDefaults(oldDefaults, newDefaults) {
         DEFAULTS,
         defaults: withDefaults.bind(null, DEFAULTS),
         merge: merge.bind(null, DEFAULTS),
-        parse
+        parse,
     });
 }
 
-const VERSION = "5.5.2";
+const VERSION = "6.0.5";
 
 const userAgent = `octokit-endpoint.js/${VERSION} ${getUserAgent()}`;
 // DEFAULTS has all properties set that EndpointOptions has, except url.
@@ -365,12 +355,12 @@ const DEFAULTS = {
     baseUrl: "https://api.github.com",
     headers: {
         accept: "application/vnd.github.v3+json",
-        "user-agent": userAgent
+        "user-agent": userAgent,
     },
     mediaType: {
         format: "",
-        previews: []
-    }
+        previews: [],
+    },
 };
 
 const endpoint = withDefaults(null, DEFAULTS);
diff --git a/node_modules/@octokit/endpoint/dist-web/index.js.map b/node_modules/@octokit/endpoint/dist-web/index.js.map
index c88959b22..662645929 100644
--- a/node_modules/@octokit/endpoint/dist-web/index.js.map
+++ b/node_modules/@octokit/endpoint/dist-web/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/util/lowercase-keys.js","../dist-src/util/merge-deep.js","../dist-src/merge.js","../dist-src/util/add-query-parameters.js","../dist-src/util/extract-url-variable-names.js","../dist-src/util/omit.js","../dist-src/util/url-template.js","../dist-src/parse.js","../dist-src/endpoint-with-defaults.js","../dist-src/with-defaults.js","../dist-src/version.js","../dist-src/defaults.js","../dist-src/index.js"],"sourcesContent":["export function lowercaseKeys(object) {\n    if (!object) {\n        return {};\n    }\n    return Object.keys(object).reduce((newObj, key) => {\n        newObj[key.toLowerCase()] = object[key];\n        return newObj;\n    }, {});\n}\n","import isPlainObject from \"is-plain-object\";\nexport function mergeDeep(defaults, options) {\n    const result = Object.assign({}, defaults);\n    Object.keys(options).forEach(key => {\n        if (isPlainObject(options[key])) {\n            if (!(key in defaults))\n                Object.assign(result, { [key]: options[key] });\n            else\n                result[key] = mergeDeep(defaults[key], options[key]);\n        }\n        else {\n            Object.assign(result, { [key]: options[key] });\n        }\n    });\n    return result;\n}\n","import { lowercaseKeys } from \"./util/lowercase-keys\";\nimport { mergeDeep } from \"./util/merge-deep\";\nexport function merge(defaults, route, options) {\n    if (typeof route === \"string\") {\n        let [method, url] = route.split(\" \");\n        options = Object.assign(url ? { method, url } : { url: method }, options);\n    }\n    else {\n        options = Object.assign({}, route);\n    }\n    // lowercase header names before merging with defaults to avoid duplicates\n    options.headers = lowercaseKeys(options.headers);\n    const mergedOptions = mergeDeep(defaults || {}, options);\n    // mediaType.previews arrays are merged, instead of overwritten\n    if (defaults && defaults.mediaType.previews.length) {\n        mergedOptions.mediaType.previews = defaults.mediaType.previews\n            .filter(preview => !mergedOptions.mediaType.previews.includes(preview))\n            .concat(mergedOptions.mediaType.previews);\n    }\n    mergedOptions.mediaType.previews = mergedOptions.mediaType.previews.map((preview) => preview.replace(/-preview/, \"\"));\n    return mergedOptions;\n}\n","export function addQueryParameters(url, parameters) {\n    const separator = /\\?/.test(url) ? \"&\" : \"?\";\n    const names = Object.keys(parameters);\n    if (names.length === 0) {\n        return url;\n    }\n    return (url +\n        separator +\n        names\n            .map(name => {\n            if (name === \"q\") {\n                return (\"q=\" +\n                    parameters\n                        .q.split(\"+\")\n                        .map(encodeURIComponent)\n                        .join(\"+\"));\n            }\n            return `${name}=${encodeURIComponent(parameters[name])}`;\n        })\n            .join(\"&\"));\n}\n","const urlVariableRegex = /\\{[^}]+\\}/g;\nfunction removeNonChars(variableName) {\n    return variableName.replace(/^\\W+|\\W+$/g, \"\").split(/,/);\n}\nexport function extractUrlVariableNames(url) {\n    const matches = url.match(urlVariableRegex);\n    if (!matches) {\n        return [];\n    }\n    return matches.map(removeNonChars).reduce((a, b) => a.concat(b), []);\n}\n","export function omit(object, keysToOmit) {\n    return Object.keys(object)\n        .filter(option => !keysToOmit.includes(option))\n        .reduce((obj, key) => {\n        obj[key] = object[key];\n        return obj;\n    }, {});\n}\n","// Based on https://github.com/bramstein/url-template, licensed under BSD\n// TODO: create separate package.\n//\n// Copyright (c) 2012-2014, Bram Stein\n// All rights reserved.\n// Redistribution and use in source and binary forms, with or without\n// modification, are permitted provided that the following conditions\n// are met:\n//  1. Redistributions of source code must retain the above copyright\n//     notice, this list of conditions and the following disclaimer.\n//  2. Redistributions in binary form must reproduce the above copyright\n//     notice, this list of conditions and the following disclaimer in the\n//     documentation and/or other materials provided with the distribution.\n//  3. The name of the author may not be used to endorse or promote products\n//     derived from this software without specific prior written permission.\n// THIS SOFTWARE IS PROVIDED BY THE AUTHOR \"AS IS\" AND ANY EXPRESS OR IMPLIED\n// WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF\n// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO\n// EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,\n// INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,\n// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\n// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY\n// OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\n// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,\n// EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n/* istanbul ignore file */\nfunction encodeReserved(str) {\n    return str\n        .split(/(%[0-9A-Fa-f]{2})/g)\n        .map(function (part) {\n        if (!/%[0-9A-Fa-f]/.test(part)) {\n            part = encodeURI(part)\n                .replace(/%5B/g, \"[\")\n                .replace(/%5D/g, \"]\");\n        }\n        return part;\n    })\n        .join(\"\");\n}\nfunction encodeUnreserved(str) {\n    return encodeURIComponent(str).replace(/[!'()*]/g, function (c) {\n        return (\"%\" +\n            c\n                .charCodeAt(0)\n                .toString(16)\n                .toUpperCase());\n    });\n}\nfunction encodeValue(operator, value, key) {\n    value =\n        operator === \"+\" || operator === \"#\"\n            ? encodeReserved(value)\n            : encodeUnreserved(value);\n    if (key) {\n        return encodeUnreserved(key) + \"=\" + value;\n    }\n    else {\n        return value;\n    }\n}\nfunction isDefined(value) {\n    return value !== undefined && value !== null;\n}\nfunction isKeyOperator(operator) {\n    return operator === \";\" || operator === \"&\" || operator === \"?\";\n}\nfunction getValues(context, operator, key, modifier) {\n    var value = context[key], result = [];\n    if (isDefined(value) && value !== \"\") {\n        if (typeof value === \"string\" ||\n            typeof value === \"number\" ||\n            typeof value === \"boolean\") {\n            value = value.toString();\n            if (modifier && modifier !== \"*\") {\n                value = value.substring(0, parseInt(modifier, 10));\n            }\n            result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : \"\"));\n        }\n        else {\n            if (modifier === \"*\") {\n                if (Array.isArray(value)) {\n                    value.filter(isDefined).forEach(function (value) {\n                        result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : \"\"));\n                    });\n                }\n                else {\n                    Object.keys(value).forEach(function (k) {\n                        if (isDefined(value[k])) {\n                            result.push(encodeValue(operator, value[k], k));\n                        }\n                    });\n                }\n            }\n            else {\n                const tmp = [];\n                if (Array.isArray(value)) {\n                    value.filter(isDefined).forEach(function (value) {\n                        tmp.push(encodeValue(operator, value));\n                    });\n                }\n                else {\n                    Object.keys(value).forEach(function (k) {\n                        if (isDefined(value[k])) {\n                            tmp.push(encodeUnreserved(k));\n                            tmp.push(encodeValue(operator, value[k].toString()));\n                        }\n                    });\n                }\n                if (isKeyOperator(operator)) {\n                    result.push(encodeUnreserved(key) + \"=\" + tmp.join(\",\"));\n                }\n                else if (tmp.length !== 0) {\n                    result.push(tmp.join(\",\"));\n                }\n            }\n        }\n    }\n    else {\n        if (operator === \";\") {\n            if (isDefined(value)) {\n                result.push(encodeUnreserved(key));\n            }\n        }\n        else if (value === \"\" && (operator === \"&\" || operator === \"?\")) {\n            result.push(encodeUnreserved(key) + \"=\");\n        }\n        else if (value === \"\") {\n            result.push(\"\");\n        }\n    }\n    return result;\n}\nexport function parseUrl(template) {\n    return {\n        expand: expand.bind(null, template)\n    };\n}\nfunction expand(template, context) {\n    var operators = [\"+\", \"#\", \".\", \"/\", \";\", \"?\", \"&\"];\n    return template.replace(/\\{([^\\{\\}]+)\\}|([^\\{\\}]+)/g, function (_, expression, literal) {\n        if (expression) {\n            let operator = \"\";\n            const values = [];\n            if (operators.indexOf(expression.charAt(0)) !== -1) {\n                operator = expression.charAt(0);\n                expression = expression.substr(1);\n            }\n            expression.split(/,/g).forEach(function (variable) {\n                var tmp = /([^:\\*]*)(?::(\\d+)|(\\*))?/.exec(variable);\n                values.push(getValues(context, operator, tmp[1], tmp[2] || tmp[3]));\n            });\n            if (operator && operator !== \"+\") {\n                var separator = \",\";\n                if (operator === \"?\") {\n                    separator = \"&\";\n                }\n                else if (operator !== \"#\") {\n                    separator = operator;\n                }\n                return (values.length !== 0 ? operator : \"\") + values.join(separator);\n            }\n            else {\n                return values.join(\",\");\n            }\n        }\n        else {\n            return encodeReserved(literal);\n        }\n    });\n}\n","import { addQueryParameters } from \"./util/add-query-parameters\";\nimport { extractUrlVariableNames } from \"./util/extract-url-variable-names\";\nimport { omit } from \"./util/omit\";\nimport { parseUrl } from \"./util/url-template\";\nexport function parse(options) {\n    // https://fetch.spec.whatwg.org/#methods\n    let method = options.method.toUpperCase();\n    // replace :varname with {varname} to make it RFC 6570 compatible\n    let url = (options.url || \"/\").replace(/:([a-z]\\w+)/g, \"{+$1}\");\n    let headers = Object.assign({}, options.headers);\n    let body;\n    let parameters = omit(options, [\n        \"method\",\n        \"baseUrl\",\n        \"url\",\n        \"headers\",\n        \"request\",\n        \"mediaType\"\n    ]);\n    // extract variable names from URL to calculate remaining variables later\n    const urlVariableNames = extractUrlVariableNames(url);\n    url = parseUrl(url).expand(parameters);\n    if (!/^http/.test(url)) {\n        url = options.baseUrl + url;\n    }\n    const omittedParameters = Object.keys(options)\n        .filter(option => urlVariableNames.includes(option))\n        .concat(\"baseUrl\");\n    const remainingParameters = omit(parameters, omittedParameters);\n    const isBinaryRequset = /application\\/octet-stream/i.test(headers.accept);\n    if (!isBinaryRequset) {\n        if (options.mediaType.format) {\n            // e.g. application/vnd.github.v3+json => application/vnd.github.v3.raw\n            headers.accept = headers.accept\n                .split(/,/)\n                .map(preview => preview.replace(/application\\/vnd(\\.\\w+)(\\.v3)?(\\.\\w+)?(\\+json)?$/, `application/vnd$1$2.${options.mediaType.format}`))\n                .join(\",\");\n        }\n        if (options.mediaType.previews.length) {\n            const previewsFromAcceptHeader = headers.accept.match(/[\\w-]+(?=-preview)/g) || [];\n            headers.accept = previewsFromAcceptHeader\n                .concat(options.mediaType.previews)\n                .map(preview => {\n                const format = options.mediaType.format\n                    ? `.${options.mediaType.format}`\n                    : \"+json\";\n                return `application/vnd.github.${preview}-preview${format}`;\n            })\n                .join(\",\");\n        }\n    }\n    // for GET/HEAD requests, set URL query parameters from remaining parameters\n    // for PATCH/POST/PUT/DELETE requests, set request body from remaining parameters\n    if ([\"GET\", \"HEAD\"].includes(method)) {\n        url = addQueryParameters(url, remainingParameters);\n    }\n    else {\n        if (\"data\" in remainingParameters) {\n            body = remainingParameters.data;\n        }\n        else {\n            if (Object.keys(remainingParameters).length) {\n                body = remainingParameters;\n            }\n            else {\n                headers[\"content-length\"] = 0;\n            }\n        }\n    }\n    // default content-type for JSON if body is set\n    if (!headers[\"content-type\"] && typeof body !== \"undefined\") {\n        headers[\"content-type\"] = \"application/json; charset=utf-8\";\n    }\n    // GitHub expects 'content-length: 0' header for PUT/PATCH requests without body.\n    // fetch does not allow to set `content-length` header, but we can set body to an empty string\n    if ([\"PATCH\", \"PUT\"].includes(method) && typeof body === \"undefined\") {\n        body = \"\";\n    }\n    // Only return body/request keys if present\n    return Object.assign({ method, url, headers }, typeof body !== \"undefined\" ? { body } : null, options.request ? { request: options.request } : null);\n}\n","import { merge } from \"./merge\";\nimport { parse } from \"./parse\";\nexport function endpointWithDefaults(defaults, route, options) {\n    return parse(merge(defaults, route, options));\n}\n","import { endpointWithDefaults } from \"./endpoint-with-defaults\";\nimport { merge } from \"./merge\";\nimport { parse } from \"./parse\";\nexport function withDefaults(oldDefaults, newDefaults) {\n    const DEFAULTS = merge(oldDefaults, newDefaults);\n    const endpoint = endpointWithDefaults.bind(null, DEFAULTS);\n    return Object.assign(endpoint, {\n        DEFAULTS,\n        defaults: withDefaults.bind(null, DEFAULTS),\n        merge: merge.bind(null, DEFAULTS),\n        parse\n    });\n}\n","export const VERSION = \"5.5.2\";\n","import { getUserAgent } from \"universal-user-agent\";\nimport { VERSION } from \"./version\";\nconst userAgent = `octokit-endpoint.js/${VERSION} ${getUserAgent()}`;\n// DEFAULTS has all properties set that EndpointOptions has, except url.\n// So we use RequestParameters and add method as additional required property.\nexport const DEFAULTS = {\n    method: \"GET\",\n    baseUrl: \"https://api.github.com\",\n    headers: {\n        accept: \"application/vnd.github.v3+json\",\n        \"user-agent\": userAgent\n    },\n    mediaType: {\n        format: \"\",\n        previews: []\n    }\n};\n","import { withDefaults } from \"./with-defaults\";\nimport { DEFAULTS } from \"./defaults\";\nexport const endpoint = withDefaults(null, 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+{"version":3,"file":"index.js","sources":["../dist-src/util/lowercase-keys.js","../dist-src/util/merge-deep.js","../dist-src/merge.js","../dist-src/util/add-query-parameters.js","../dist-src/util/extract-url-variable-names.js","../dist-src/util/omit.js","../dist-src/util/url-template.js","../dist-src/parse.js","../dist-src/endpoint-with-defaults.js","../dist-src/with-defaults.js","../dist-src/version.js","../dist-src/defaults.js","../dist-src/index.js"],"sourcesContent":["export function lowercaseKeys(object) {\n    if (!object) {\n        return {};\n    }\n    return Object.keys(object).reduce((newObj, key) => {\n        newObj[key.toLowerCase()] = object[key];\n        return newObj;\n    }, {});\n}\n","import isPlainObject from \"is-plain-object\";\nexport function mergeDeep(defaults, options) {\n    const result = Object.assign({}, defaults);\n    Object.keys(options).forEach((key) => {\n        if (isPlainObject(options[key])) {\n            if (!(key in defaults))\n                Object.assign(result, { [key]: options[key] });\n            else\n                result[key] = mergeDeep(defaults[key], options[key]);\n        }\n        else {\n            Object.assign(result, { [key]: options[key] });\n        }\n    });\n    return result;\n}\n","import { lowercaseKeys } from \"./util/lowercase-keys\";\nimport { mergeDeep } from \"./util/merge-deep\";\nexport function merge(defaults, route, options) {\n    if (typeof route === \"string\") {\n        let [method, url] = route.split(\" \");\n        options = Object.assign(url ? { method, url } : { url: method }, options);\n    }\n    else {\n        options = Object.assign({}, route);\n    }\n    // lowercase header names before merging with defaults to avoid duplicates\n    options.headers = lowercaseKeys(options.headers);\n    const mergedOptions = mergeDeep(defaults || {}, options);\n    // mediaType.previews arrays are merged, instead of overwritten\n    if (defaults && defaults.mediaType.previews.length) {\n        mergedOptions.mediaType.previews = defaults.mediaType.previews\n            .filter((preview) => !mergedOptions.mediaType.previews.includes(preview))\n            .concat(mergedOptions.mediaType.previews);\n    }\n    mergedOptions.mediaType.previews = mergedOptions.mediaType.previews.map((preview) => preview.replace(/-preview/, \"\"));\n    return mergedOptions;\n}\n","export function addQueryParameters(url, parameters) {\n    const separator = /\\?/.test(url) ? \"&\" : \"?\";\n    const names = Object.keys(parameters);\n    if (names.length === 0) {\n        return url;\n    }\n    return (url +\n        separator +\n        names\n            .map((name) => {\n            if (name === \"q\") {\n                return (\"q=\" + parameters.q.split(\"+\").map(encodeURIComponent).join(\"+\"));\n            }\n            return `${name}=${encodeURIComponent(parameters[name])}`;\n        })\n            .join(\"&\"));\n}\n","const urlVariableRegex = /\\{[^}]+\\}/g;\nfunction removeNonChars(variableName) {\n    return variableName.replace(/^\\W+|\\W+$/g, \"\").split(/,/);\n}\nexport function extractUrlVariableNames(url) {\n    const matches = url.match(urlVariableRegex);\n    if (!matches) {\n        return [];\n    }\n    return matches.map(removeNonChars).reduce((a, b) => a.concat(b), []);\n}\n","export function omit(object, keysToOmit) {\n    return Object.keys(object)\n        .filter((option) => !keysToOmit.includes(option))\n        .reduce((obj, key) => {\n        obj[key] = object[key];\n        return obj;\n    }, {});\n}\n","// Based on https://github.com/bramstein/url-template, licensed under BSD\n// TODO: create separate package.\n//\n// Copyright (c) 2012-2014, Bram Stein\n// All rights reserved.\n// Redistribution and use in source and binary forms, with or without\n// modification, are permitted provided that the following conditions\n// are met:\n//  1. Redistributions of source code must retain the above copyright\n//     notice, this list of conditions and the following disclaimer.\n//  2. Redistributions in binary form must reproduce the above copyright\n//     notice, this list of conditions and the following disclaimer in the\n//     documentation and/or other materials provided with the distribution.\n//  3. The name of the author may not be used to endorse or promote products\n//     derived from this software without specific prior written permission.\n// THIS SOFTWARE IS PROVIDED BY THE AUTHOR \"AS IS\" AND ANY EXPRESS OR IMPLIED\n// WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF\n// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO\n// EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,\n// INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,\n// BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,\n// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY\n// OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\n// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,\n// EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n/* istanbul ignore file */\nfunction encodeReserved(str) {\n    return str\n        .split(/(%[0-9A-Fa-f]{2})/g)\n        .map(function (part) {\n        if (!/%[0-9A-Fa-f]/.test(part)) {\n            part = encodeURI(part).replace(/%5B/g, \"[\").replace(/%5D/g, \"]\");\n        }\n        return part;\n    })\n        .join(\"\");\n}\nfunction encodeUnreserved(str) {\n    return encodeURIComponent(str).replace(/[!'()*]/g, function (c) {\n        return \"%\" + c.charCodeAt(0).toString(16).toUpperCase();\n    });\n}\nfunction encodeValue(operator, value, key) {\n    value =\n        operator === \"+\" || operator === \"#\"\n            ? encodeReserved(value)\n            : encodeUnreserved(value);\n    if (key) {\n        return encodeUnreserved(key) + \"=\" + value;\n    }\n    else {\n        return value;\n    }\n}\nfunction isDefined(value) {\n    return value !== undefined && value !== null;\n}\nfunction isKeyOperator(operator) {\n    return operator === \";\" || operator === \"&\" || operator === \"?\";\n}\nfunction getValues(context, operator, key, modifier) {\n    var value = context[key], result = [];\n    if (isDefined(value) && value !== \"\") {\n        if (typeof value === \"string\" ||\n            typeof value === \"number\" ||\n            typeof value === \"boolean\") {\n            value = value.toString();\n            if (modifier && modifier !== \"*\") {\n                value = value.substring(0, parseInt(modifier, 10));\n            }\n            result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : \"\"));\n        }\n        else {\n            if (modifier === \"*\") {\n                if (Array.isArray(value)) {\n                    value.filter(isDefined).forEach(function (value) {\n                        result.push(encodeValue(operator, value, isKeyOperator(operator) ? key : \"\"));\n                    });\n                }\n                else {\n                    Object.keys(value).forEach(function (k) {\n                        if (isDefined(value[k])) {\n                            result.push(encodeValue(operator, value[k], k));\n                        }\n                    });\n                }\n            }\n            else {\n                const tmp = [];\n                if (Array.isArray(value)) {\n                    value.filter(isDefined).forEach(function (value) {\n                        tmp.push(encodeValue(operator, value));\n                    });\n                }\n                else {\n                    Object.keys(value).forEach(function (k) {\n                        if (isDefined(value[k])) {\n                            tmp.push(encodeUnreserved(k));\n                            tmp.push(encodeValue(operator, value[k].toString()));\n                        }\n                    });\n                }\n                if (isKeyOperator(operator)) {\n                    result.push(encodeUnreserved(key) + \"=\" + tmp.join(\",\"));\n                }\n                else if (tmp.length !== 0) {\n                    result.push(tmp.join(\",\"));\n                }\n            }\n        }\n    }\n    else {\n        if (operator === \";\") {\n            if (isDefined(value)) {\n                result.push(encodeUnreserved(key));\n            }\n        }\n        else if (value === \"\" && (operator === \"&\" || operator === \"?\")) {\n            result.push(encodeUnreserved(key) + \"=\");\n        }\n        else if (value === \"\") {\n            result.push(\"\");\n        }\n    }\n    return result;\n}\nexport function parseUrl(template) {\n    return {\n        expand: expand.bind(null, template),\n    };\n}\nfunction expand(template, context) {\n    var operators = [\"+\", \"#\", \".\", \"/\", \";\", \"?\", \"&\"];\n    return template.replace(/\\{([^\\{\\}]+)\\}|([^\\{\\}]+)/g, function (_, expression, literal) {\n        if (expression) {\n            let operator = \"\";\n            const values = [];\n            if (operators.indexOf(expression.charAt(0)) !== -1) {\n                operator = expression.charAt(0);\n                expression = expression.substr(1);\n            }\n            expression.split(/,/g).forEach(function (variable) {\n                var tmp = /([^:\\*]*)(?::(\\d+)|(\\*))?/.exec(variable);\n                values.push(getValues(context, operator, tmp[1], tmp[2] || tmp[3]));\n            });\n            if (operator && operator !== \"+\") {\n                var separator = \",\";\n                if (operator === \"?\") {\n                    separator = \"&\";\n                }\n                else if (operator !== \"#\") {\n                    separator = operator;\n                }\n                return (values.length !== 0 ? operator : \"\") + values.join(separator);\n            }\n            else {\n                return values.join(\",\");\n            }\n        }\n        else {\n            return encodeReserved(literal);\n        }\n    });\n}\n","import { addQueryParameters } from \"./util/add-query-parameters\";\nimport { extractUrlVariableNames } from \"./util/extract-url-variable-names\";\nimport { omit } from \"./util/omit\";\nimport { parseUrl } from \"./util/url-template\";\nexport function parse(options) {\n    // https://fetch.spec.whatwg.org/#methods\n    let method = options.method.toUpperCase();\n    // replace :varname with {varname} to make it RFC 6570 compatible\n    let url = (options.url || \"/\").replace(/:([a-z]\\w+)/g, \"{+$1}\");\n    let headers = Object.assign({}, options.headers);\n    let body;\n    let parameters = omit(options, [\n        \"method\",\n        \"baseUrl\",\n        \"url\",\n        \"headers\",\n        \"request\",\n        \"mediaType\",\n    ]);\n    // extract variable names from URL to calculate remaining variables later\n    const urlVariableNames = extractUrlVariableNames(url);\n    url = parseUrl(url).expand(parameters);\n    if (!/^http/.test(url)) {\n        url = options.baseUrl + url;\n    }\n    const omittedParameters = Object.keys(options)\n        .filter((option) => urlVariableNames.includes(option))\n        .concat(\"baseUrl\");\n    const remainingParameters = omit(parameters, omittedParameters);\n    const isBinaryRequset = /application\\/octet-stream/i.test(headers.accept);\n    if (!isBinaryRequset) {\n        if (options.mediaType.format) {\n            // e.g. application/vnd.github.v3+json => application/vnd.github.v3.raw\n            headers.accept = headers.accept\n                .split(/,/)\n                .map((preview) => preview.replace(/application\\/vnd(\\.\\w+)(\\.v3)?(\\.\\w+)?(\\+json)?$/, `application/vnd$1$2.${options.mediaType.format}`))\n                .join(\",\");\n        }\n        if (options.mediaType.previews.length) {\n            const previewsFromAcceptHeader = headers.accept.match(/[\\w-]+(?=-preview)/g) || [];\n            headers.accept = previewsFromAcceptHeader\n                .concat(options.mediaType.previews)\n                .map((preview) => {\n                const format = options.mediaType.format\n                    ? `.${options.mediaType.format}`\n                    : \"+json\";\n                return `application/vnd.github.${preview}-preview${format}`;\n            })\n                .join(\",\");\n        }\n    }\n    // for GET/HEAD requests, set URL query parameters from remaining parameters\n    // for PATCH/POST/PUT/DELETE requests, set request body from remaining parameters\n    if ([\"GET\", \"HEAD\"].includes(method)) {\n        url = addQueryParameters(url, remainingParameters);\n    }\n    else {\n        if (\"data\" in remainingParameters) {\n            body = remainingParameters.data;\n        }\n        else {\n            if (Object.keys(remainingParameters).length) {\n                body = remainingParameters;\n            }\n            else {\n                headers[\"content-length\"] = 0;\n            }\n        }\n    }\n    // default content-type for JSON if body is set\n    if (!headers[\"content-type\"] && typeof body !== \"undefined\") {\n        headers[\"content-type\"] = \"application/json; charset=utf-8\";\n    }\n    // GitHub expects 'content-length: 0' header for PUT/PATCH requests without body.\n    // fetch does not allow to set `content-length` header, but we can set body to an empty string\n    if ([\"PATCH\", \"PUT\"].includes(method) && typeof body === \"undefined\") {\n        body = \"\";\n    }\n    // Only return body/request keys if present\n    return Object.assign({ method, url, headers }, typeof body !== \"undefined\" ? { body } : null, options.request ? { request: options.request } : null);\n}\n","import { merge } from \"./merge\";\nimport { parse } from \"./parse\";\nexport function endpointWithDefaults(defaults, route, options) {\n    return parse(merge(defaults, route, options));\n}\n","import { endpointWithDefaults } from \"./endpoint-with-defaults\";\nimport { merge } from \"./merge\";\nimport { parse } from \"./parse\";\nexport function withDefaults(oldDefaults, newDefaults) {\n    const DEFAULTS = merge(oldDefaults, newDefaults);\n    const endpoint = endpointWithDefaults.bind(null, DEFAULTS);\n    return Object.assign(endpoint, {\n        DEFAULTS,\n        defaults: withDefaults.bind(null, DEFAULTS),\n        merge: merge.bind(null, DEFAULTS),\n        parse,\n    });\n}\n","export const VERSION = \"6.0.5\";\n","import { getUserAgent } from \"universal-user-agent\";\nimport { VERSION } from \"./version\";\nconst userAgent = `octokit-endpoint.js/${VERSION} ${getUserAgent()}`;\n// DEFAULTS has all properties set that EndpointOptions has, except url.\n// So we use RequestParameters and add method as additional required property.\nexport const DEFAULTS = {\n    method: \"GET\",\n    baseUrl: \"https://api.github.com\",\n    headers: {\n        accept: \"application/vnd.github.v3+json\",\n        \"user-agent\": userAgent,\n    },\n    mediaType: {\n        format: \"\",\n        previews: [],\n    },\n};\n","import { withDefaults } from \"./with-defaults\";\nimport { DEFAULTS } from \"./defaults\";\nexport const endpoint = withDefaults(null, 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\ No newline at end of file
diff --git a/node_modules/@octokit/endpoint/package.json b/node_modules/@octokit/endpoint/package.json
index cdb278e26..40c2af20d 100644
--- a/node_modules/@octokit/endpoint/package.json
+++ b/node_modules/@octokit/endpoint/package.json
@@ -1,53 +1,53 @@
 {
   "_args": [
     [
-      "@octokit/endpoint@5.5.2",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@octokit/endpoint@6.0.5",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@octokit/endpoint@5.5.2",
-  "_id": "@octokit/endpoint@5.5.2",
+  "_from": "@octokit/endpoint@6.0.5",
+  "_id": "@octokit/endpoint@6.0.5",
   "_inBundle": false,
-  "_integrity": "sha512-ICDcRA0C2vtTZZGud1nXRrBLXZqFayodXAKZfo3dkdcLNqcHsgaz3YSTupbURusYeucSVRjjG+RTcQhx6HPPcg==",
+  "_integrity": "sha512-70K5u6zd45ItOny6aHQAsea8HHQjlQq85yqOMe+Aj8dkhN2qSJ9T+Q3YjUjEYfPRBcuUWNgMn62DQnP/4LAIiQ==",
   "_location": "/@octokit/endpoint",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@octokit/endpoint@5.5.2",
+    "raw": "@octokit/endpoint@6.0.5",
     "name": "@octokit/endpoint",
     "escapedName": "@octokit%2fendpoint",
     "scope": "@octokit",
-    "rawSpec": "5.5.2",
+    "rawSpec": "6.0.5",
     "saveSpec": null,
-    "fetchSpec": "5.5.2"
+    "fetchSpec": "6.0.5"
   },
   "_requiredBy": [
     "/@octokit/request"
   ],
-  "_resolved": "https://registry.npmjs.org/@octokit/endpoint/-/endpoint-5.5.2.tgz",
-  "_spec": "5.5.2",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@octokit/endpoint/-/endpoint-6.0.5.tgz",
+  "_spec": "6.0.5",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/octokit/endpoint.js/issues"
   },
   "dependencies": {
-    "@octokit/types": "^2.0.0",
-    "is-plain-object": "^3.0.0",
-    "universal-user-agent": "^4.0.0"
+    "@octokit/types": "^5.0.0",
+    "is-plain-object": "^4.0.0",
+    "universal-user-agent": "^6.0.0"
   },
   "description": "Turns REST API endpoints into generic request options",
   "devDependencies": {
     "@pika/pack": "^0.5.0",
-    "@pika/plugin-build-node": "^0.8.1",
-    "@pika/plugin-build-web": "^0.8.1",
-    "@pika/plugin-ts-standard-pkg": "^0.8.1",
-    "@types/jest": "^25.1.0",
-    "jest": "^24.7.1",
-    "prettier": "1.19.0",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
+    "@types/jest": "^26.0.0",
+    "jest": "^26.0.1",
+    "prettier": "2.0.5",
     "semantic-release": "^17.0.0",
     "semantic-release-plugin-update-version-in-files": "^1.0.0",
-    "ts-jest": "^24.0.2",
+    "ts-jest": "^26.0.0",
     "typescript": "^3.4.5"
   },
   "files": [
@@ -76,5 +76,5 @@
   "sideEffects": false,
   "source": "dist-src/index.js",
   "types": "dist-types/index.d.ts",
-  "version": "5.5.2"
+  "version": "6.0.5"
 }
diff --git a/node_modules/@octokit/graphql/README.md b/node_modules/@octokit/graphql/README.md
index dd797d944..790056736 100644
--- a/node_modules/@octokit/graphql/README.md
+++ b/node_modules/@octokit/graphql/README.md
@@ -3,8 +3,7 @@
 > GitHub GraphQL API client for browsers and Node
 
 [![@latest](https://img.shields.io/npm/v/@octokit/graphql.svg)](https://www.npmjs.com/package/@octokit/graphql)
-[![Build Status](https://travis-ci.com/octokit/graphql.js.svg?branch=master)](https://travis-ci.com/octokit/graphql.js)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/graphql.js.svg)](https://greenkeeper.io/)
+[![Build Status](https://github.com/octokit/graphql.js/workflows/Test/badge.svg)](https://github.com/octokit/graphql.js/actions?query=workflow%3ATest+branch%3Amaster)
 
 <!-- toc -->
 
@@ -13,7 +12,8 @@
   - [Authentication](#authentication)
   - [Variables](#variables)
   - [Pass query together with headers and variables](#pass-query-together-with-headers-and-variables)
-  - [Use your own `@octokit/request` instance](#)
+  - [Use with GitHub Enterprise](#use-with-github-enterprise)
+  - [Use custom `@octokit/request` instance](#use-custom-octokitrequest-instance)
 - [Errors](#errors)
 - [Partial responses](#partial-responses)
 - [Writing tests](#writing-tests)
@@ -72,8 +72,8 @@ const { repository } = await graphql(
   `,
   {
     headers: {
-      authorization: `token secret123`
-    }
+      authorization: `token secret123`,
+    },
   }
 );
 ```
@@ -85,8 +85,8 @@ The simplest way to authenticate a request is to set the `Authorization` header,
 ```js
 const graphqlWithAuth = graphql.defaults({
   headers: {
-    authorization: `token secret123`
-  }
+    authorization: `token secret123`,
+  },
 });
 const { repository } = await graphqlWithAuth(`
   {
@@ -110,12 +110,12 @@ const { createAppAuth } = require("@octokit/auth-app");
 const auth = createAppAuth({
   id: process.env.APP_ID,
   privateKey: process.env.PRIVATE_KEY,
-  installationId: 123
+  installationId: 123,
 });
 const graphqlWithAuth = graphql.defaults({
   request: {
-    hook: auth.hook
-  }
+    hook: auth.hook,
+  },
 });
 
 const { repository } = await graphqlWithAuth(
@@ -189,8 +189,8 @@ let { graphql } = require("@octokit/graphql");
 graphql = graphql.defaults({
   baseUrl: "https://github-enterprise.acme-inc.com/api",
   headers: {
-    authorization: `token secret123`
-  }
+    authorization: `token secret123`,
+  },
 });
 const { repository } = await graphql(`
   {
@@ -213,20 +213,20 @@ const { repository } = await graphql(`
 const { request } = require("@octokit/request");
 const { withCustomRequest } = require("@octokit/graphql");
 
-let requestCounter = 0
+let requestCounter = 0;
 const myRequest = request.defaults({
   headers: {
-    authentication: 'token secret123'
+    authentication: "token secret123",
   },
   request: {
     hook(request, options) {
-      requestCounter++
-      return request(options)
-    }
-  }
-})
-const myGraphql = withCustomRequest(myRequest) 
-await request('/')
+      requestCounter++;
+      return request(options);
+    },
+  },
+});
+const myGraphql = withCustomRequest(myRequest);
+await request("/");
 await myGraphql(`
   {
     repository(owner: "acme-project", name: "acme-repo") {
@@ -251,8 +251,8 @@ In case of a GraphQL error, `error.message` is set to the first error from the r
 let { graphql } = require("@octokit/graphql");
 graphqlt = graphql.defaults({
   headers: {
-    authorization: `token secret123`
-  }
+    authorization: `token secret123`,
+  },
 });
 const query = `{
   viewer {
@@ -288,8 +288,8 @@ A GraphQL query may respond with partial data accompanied by errors. In this cas
 let { graphql } = require("@octokit/graphql");
 graphql = graphql.defaults({
   headers: {
-    authorization: `token secret123`
-  }
+    authorization: `token secret123`,
+  },
 });
 const query = `{
   repository(name: "probot", owner: "probot") {
@@ -357,7 +357,7 @@ const { graphql } = require("@octokit/graphql");
 
 graphql("{ viewer { login } }", {
   headers: {
-    authorization: "token secret123"
+    authorization: "token secret123",
   },
   request: {
     fetch: fetchMock
@@ -370,8 +370,8 @@ graphql("{ viewer { login } }", {
           "Sends correct query"
         );
         return { data: {} };
-      })
-  }
+      }),
+  },
 });
 ```
 
diff --git a/node_modules/@octokit/graphql/dist-node/index.js b/node_modules/@octokit/graphql/dist-node/index.js
index 48bb799aa..eb58c4d13 100644
--- a/node_modules/@octokit/graphql/dist-node/index.js
+++ b/node_modules/@octokit/graphql/dist-node/index.js
@@ -5,7 +5,7 @@ Object.defineProperty(exports, '__esModule', { value: true });
 var request = require('@octokit/request');
 var universalUserAgent = require('universal-user-agent');
 
-const VERSION = "4.3.1";
+const VERSION = "4.5.2";
 
 class GraphqlError extends Error {
   constructor(request, response) {
@@ -24,7 +24,7 @@ class GraphqlError extends Error {
 
 }
 
-const NON_VARIABLE_OPTIONS = ["method", "baseUrl", "url", "headers", "request", "query"];
+const NON_VARIABLE_OPTIONS = ["method", "baseUrl", "url", "headers", "request", "query", "mediaType"];
 function graphql(request, query, options) {
   options = typeof query === "string" ? options = Object.assign({
     query
diff --git a/node_modules/@octokit/graphql/dist-node/index.js.map b/node_modules/@octokit/graphql/dist-node/index.js.map
index 0e967f987..2cfa8630f 100644
--- a/node_modules/@octokit/graphql/dist-node/index.js.map
+++ b/node_modules/@octokit/graphql/dist-node/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/error.js","../dist-src/graphql.js","../dist-src/with-defaults.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"4.3.1\";\n","export class GraphqlError extends Error {\n    constructor(request, response) {\n        const message = response.data.errors[0].message;\n        super(message);\n        Object.assign(this, response.data);\n        this.name = \"GraphqlError\";\n        this.request = request;\n        // Maintains proper stack trace (only available on V8)\n        /* istanbul ignore next */\n        if (Error.captureStackTrace) {\n            Error.captureStackTrace(this, this.constructor);\n        }\n    }\n}\n","import { GraphqlError } from \"./error\";\nconst NON_VARIABLE_OPTIONS = [\n    \"method\",\n    \"baseUrl\",\n    \"url\",\n    \"headers\",\n    \"request\",\n    \"query\"\n];\nexport function graphql(request, query, options) {\n    options =\n        typeof query === \"string\"\n            ? (options = Object.assign({ query }, options))\n            : (options = query);\n    const requestOptions = Object.keys(options).reduce((result, key) => {\n        if (NON_VARIABLE_OPTIONS.includes(key)) {\n            result[key] = options[key];\n            return result;\n        }\n        if (!result.variables) {\n            result.variables = {};\n        }\n        result.variables[key] = options[key];\n        return result;\n    }, {});\n    return request(requestOptions).then(response => {\n        if (response.data.errors) {\n            throw new GraphqlError(requestOptions, {\n                data: response.data\n            });\n        }\n        return response.data.data;\n    });\n}\n","import { request as Request } from \"@octokit/request\";\nimport { graphql } from \"./graphql\";\nexport function withDefaults(request, newDefaults) {\n    const newRequest = request.defaults(newDefaults);\n    const newApi = (query, options) => {\n        return graphql(newRequest, query, options);\n    };\n    return Object.assign(newApi, {\n        defaults: withDefaults.bind(null, newRequest),\n        endpoint: Request.endpoint\n    });\n}\n","import { request } from \"@octokit/request\";\nimport { getUserAgent } from \"universal-user-agent\";\nimport { VERSION } from \"./version\";\nimport { withDefaults } from \"./with-defaults\";\nexport const graphql = withDefaults(request, {\n    headers: {\n        \"user-agent\": `octokit-graphql.js/${VERSION} ${getUserAgent()}`\n    },\n    method: \"POST\",\n    url: \"/graphql\"\n});\nexport function withCustomRequest(customRequest) {\n    return withDefaults(customRequest, {\n        method: \"POST\",\n        url: \"/graphql\"\n    });\n}\n"],"names":["VERSION","GraphqlError","Error","constructor","request","response","message","data","errors","Object","assign","name","captureStackTrace","NON_VARIABLE_OPTIONS","graphql","query","options","requestOptions","keys","reduce","result","key","includes","variables","then","withDefaults","newDefaults","newRequest","defaults","newApi","bind","endpoint","Request","headers","getUserAgent","method","url","withCustomRequest","customRequest"],"mappings":";;;;;;;AAAO,MAAMA,OAAO,GAAG,mBAAhB;;ACAA,MAAMC,YAAN,SAA2BC,KAA3B,CAAiC;EACpCC,WAAW,CAACC,OAAD,EAAUC,QAAV,EAAoB;UACrBC,OAAO,GAAGD,QAAQ,CAACE,IAAT,CAAcC,MAAd,CAAqB,CAArB,EAAwBF,OAAxC;UACMA,OAAN;IACAG,MAAM,CAACC,MAAP,CAAc,IAAd,EAAoBL,QAAQ,CAACE,IAA7B;SACKI,IAAL,GAAY,cAAZ;SACKP,OAAL,GAAeA,OAAf,CAL2B;;;;QAQvBF,KAAK,CAACU,iBAAV,EAA6B;MACzBV,KAAK,CAACU,iBAAN,CAAwB,IAAxB,EAA8B,KAAKT,WAAnC;;;;;;ACTZ,MAAMU,oBAAoB,GAAG,CACzB,QADyB,EAEzB,SAFyB,EAGzB,KAHyB,EAIzB,SAJyB,EAKzB,SALyB,EAMzB,OANyB,CAA7B;AAQA,AAAO,SAASC,OAAT,CAAiBV,OAAjB,EAA0BW,KAA1B,EAAiCC,OAAjC,EAA0C;EAC7CA,OAAO,GACH,OAAOD,KAAP,KAAiB,QAAjB,GACOC,OAAO,GAAGP,MAAM,CAACC,MAAP,CAAc;IAAEK;GAAhB,EAAyBC,OAAzB,CADjB,GAEOA,OAAO,GAAGD,KAHrB;QAIME,cAAc,GAAGR,MAAM,CAACS,IAAP,CAAYF,OAAZ,EAAqBG,MAArB,CAA4B,CAACC,MAAD,EAASC,GAAT,KAAiB;QAC5DR,oBAAoB,CAACS,QAArB,CAA8BD,GAA9B,CAAJ,EAAwC;MACpCD,MAAM,CAACC,GAAD,CAAN,GAAcL,OAAO,CAACK,GAAD,CAArB;aACOD,MAAP;;;QAEA,CAACA,MAAM,CAACG,SAAZ,EAAuB;MACnBH,MAAM,CAACG,SAAP,GAAmB,EAAnB;;;IAEJH,MAAM,CAACG,SAAP,CAAiBF,GAAjB,IAAwBL,OAAO,CAACK,GAAD,CAA/B;WACOD,MAAP;GATmB,EAUpB,EAVoB,CAAvB;SAWOhB,OAAO,CAACa,cAAD,CAAP,CAAwBO,IAAxB,CAA6BnB,QAAQ,IAAI;QACxCA,QAAQ,CAACE,IAAT,CAAcC,MAAlB,EAA0B;YAChB,IAAIP,YAAJ,CAAiBgB,cAAjB,EAAiC;QACnCV,IAAI,EAAEF,QAAQ,CAACE;OADb,CAAN;;;WAIGF,QAAQ,CAACE,IAAT,CAAcA,IAArB;GANG,CAAP;;;ACvBG,SAASkB,YAAT,CAAsBrB,SAAtB,EAA+BsB,WAA/B,EAA4C;QACzCC,UAAU,GAAGvB,SAAO,CAACwB,QAAR,CAAiBF,WAAjB,CAAnB;;QACMG,MAAM,GAAG,CAACd,KAAD,EAAQC,OAAR,KAAoB;WACxBF,OAAO,CAACa,UAAD,EAAaZ,KAAb,EAAoBC,OAApB,CAAd;GADJ;;SAGOP,MAAM,CAACC,MAAP,CAAcmB,MAAd,EAAsB;IACzBD,QAAQ,EAAEH,YAAY,CAACK,IAAb,CAAkB,IAAlB,EAAwBH,UAAxB,CADe;IAEzBI,QAAQ,EAAEC,eAAO,CAACD;GAFf,CAAP;;;MCHSjB,SAAO,GAAGW,YAAY,CAACrB,eAAD,EAAU;EACzC6B,OAAO,EAAE;kBACU,sBAAqBjC,OAAQ,IAAGkC,+BAAY,EAAG;GAFzB;EAIzCC,MAAM,EAAE,MAJiC;EAKzCC,GAAG,EAAE;CAL0B,CAA5B;AAOP,AAAO,SAASC,iBAAT,CAA2BC,aAA3B,EAA0C;SACtCb,YAAY,CAACa,aAAD,EAAgB;IAC/BH,MAAM,EAAE,MADuB;IAE/BC,GAAG,EAAE;GAFU,CAAnB;;;;;;"}
\ No newline at end of file
+{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/error.js","../dist-src/graphql.js","../dist-src/with-defaults.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"4.5.2\";\n","export class GraphqlError extends Error {\n    constructor(request, response) {\n        const message = response.data.errors[0].message;\n        super(message);\n        Object.assign(this, response.data);\n        this.name = \"GraphqlError\";\n        this.request = request;\n        // Maintains proper stack trace (only available on V8)\n        /* istanbul ignore next */\n        if (Error.captureStackTrace) {\n            Error.captureStackTrace(this, this.constructor);\n        }\n    }\n}\n","import { GraphqlError } from \"./error\";\nconst NON_VARIABLE_OPTIONS = [\n    \"method\",\n    \"baseUrl\",\n    \"url\",\n    \"headers\",\n    \"request\",\n    \"query\",\n    \"mediaType\",\n];\nexport function graphql(request, query, options) {\n    options =\n        typeof query === \"string\"\n            ? (options = Object.assign({ query }, options))\n            : (options = query);\n    const requestOptions = Object.keys(options).reduce((result, key) => {\n        if (NON_VARIABLE_OPTIONS.includes(key)) {\n            result[key] = options[key];\n            return result;\n        }\n        if (!result.variables) {\n            result.variables = {};\n        }\n        result.variables[key] = options[key];\n        return result;\n    }, {});\n    return request(requestOptions).then((response) => {\n        if (response.data.errors) {\n            throw new GraphqlError(requestOptions, {\n                data: response.data,\n            });\n        }\n        return response.data.data;\n    });\n}\n","import { request as Request } from \"@octokit/request\";\nimport { graphql } from \"./graphql\";\nexport function withDefaults(request, newDefaults) {\n    const newRequest = request.defaults(newDefaults);\n    const newApi = (query, options) => {\n        return graphql(newRequest, query, options);\n    };\n    return Object.assign(newApi, {\n        defaults: withDefaults.bind(null, newRequest),\n        endpoint: Request.endpoint,\n    });\n}\n","import { request } from \"@octokit/request\";\nimport { getUserAgent } from \"universal-user-agent\";\nimport { VERSION } from \"./version\";\nimport { withDefaults } from \"./with-defaults\";\nexport const graphql = withDefaults(request, {\n    headers: {\n        \"user-agent\": `octokit-graphql.js/${VERSION} ${getUserAgent()}`,\n    },\n    method: \"POST\",\n    url: \"/graphql\",\n});\nexport function withCustomRequest(customRequest) {\n    return withDefaults(customRequest, {\n        method: \"POST\",\n        url: \"/graphql\",\n    });\n}\n"],"names":["VERSION","GraphqlError","Error","constructor","request","response","message","data","errors","Object","assign","name","captureStackTrace","NON_VARIABLE_OPTIONS","graphql","query","options","requestOptions","keys","reduce","result","key","includes","variables","then","withDefaults","newDefaults","newRequest","defaults","newApi","bind","endpoint","Request","headers","getUserAgent","method","url","withCustomRequest","customRequest"],"mappings":";;;;;;;AAAO,MAAMA,OAAO,GAAG,mBAAhB;;ACAA,MAAMC,YAAN,SAA2BC,KAA3B,CAAiC;AACpCC,EAAAA,WAAW,CAACC,OAAD,EAAUC,QAAV,EAAoB;AAC3B,UAAMC,OAAO,GAAGD,QAAQ,CAACE,IAAT,CAAcC,MAAd,CAAqB,CAArB,EAAwBF,OAAxC;AACA,UAAMA,OAAN;AACAG,IAAAA,MAAM,CAACC,MAAP,CAAc,IAAd,EAAoBL,QAAQ,CAACE,IAA7B;AACA,SAAKI,IAAL,GAAY,cAAZ;AACA,SAAKP,OAAL,GAAeA,OAAf,CAL2B;;AAO3B;;AACA,QAAIF,KAAK,CAACU,iBAAV,EAA6B;AACzBV,MAAAA,KAAK,CAACU,iBAAN,CAAwB,IAAxB,EAA8B,KAAKT,WAAnC;AACH;AACJ;;AAZmC;;ACCxC,MAAMU,oBAAoB,GAAG,CACzB,QADyB,EAEzB,SAFyB,EAGzB,KAHyB,EAIzB,SAJyB,EAKzB,SALyB,EAMzB,OANyB,EAOzB,WAPyB,CAA7B;AASA,AAAO,SAASC,OAAT,CAAiBV,OAAjB,EAA0BW,KAA1B,EAAiCC,OAAjC,EAA0C;AAC7CA,EAAAA,OAAO,GACH,OAAOD,KAAP,KAAiB,QAAjB,GACOC,OAAO,GAAGP,MAAM,CAACC,MAAP,CAAc;AAAEK,IAAAA;AAAF,GAAd,EAAyBC,OAAzB,CADjB,GAEOA,OAAO,GAAGD,KAHrB;AAIA,QAAME,cAAc,GAAGR,MAAM,CAACS,IAAP,CAAYF,OAAZ,EAAqBG,MAArB,CAA4B,CAACC,MAAD,EAASC,GAAT,KAAiB;AAChE,QAAIR,oBAAoB,CAACS,QAArB,CAA8BD,GAA9B,CAAJ,EAAwC;AACpCD,MAAAA,MAAM,CAACC,GAAD,CAAN,GAAcL,OAAO,CAACK,GAAD,CAArB;AACA,aAAOD,MAAP;AACH;;AACD,QAAI,CAACA,MAAM,CAACG,SAAZ,EAAuB;AACnBH,MAAAA,MAAM,CAACG,SAAP,GAAmB,EAAnB;AACH;;AACDH,IAAAA,MAAM,CAACG,SAAP,CAAiBF,GAAjB,IAAwBL,OAAO,CAACK,GAAD,CAA/B;AACA,WAAOD,MAAP;AACH,GAVsB,EAUpB,EAVoB,CAAvB;AAWA,SAAOhB,OAAO,CAACa,cAAD,CAAP,CAAwBO,IAAxB,CAA8BnB,QAAD,IAAc;AAC9C,QAAIA,QAAQ,CAACE,IAAT,CAAcC,MAAlB,EAA0B;AACtB,YAAM,IAAIP,YAAJ,CAAiBgB,cAAjB,EAAiC;AACnCV,QAAAA,IAAI,EAAEF,QAAQ,CAACE;AADoB,OAAjC,CAAN;AAGH;;AACD,WAAOF,QAAQ,CAACE,IAAT,CAAcA,IAArB;AACH,GAPM,CAAP;AAQH;;AChCM,SAASkB,YAAT,CAAsBrB,SAAtB,EAA+BsB,WAA/B,EAA4C;AAC/C,QAAMC,UAAU,GAAGvB,SAAO,CAACwB,QAAR,CAAiBF,WAAjB,CAAnB;;AACA,QAAMG,MAAM,GAAG,CAACd,KAAD,EAAQC,OAAR,KAAoB;AAC/B,WAAOF,OAAO,CAACa,UAAD,EAAaZ,KAAb,EAAoBC,OAApB,CAAd;AACH,GAFD;;AAGA,SAAOP,MAAM,CAACC,MAAP,CAAcmB,MAAd,EAAsB;AACzBD,IAAAA,QAAQ,EAAEH,YAAY,CAACK,IAAb,CAAkB,IAAlB,EAAwBH,UAAxB,CADe;AAEzBI,IAAAA,QAAQ,EAAEC,eAAO,CAACD;AAFO,GAAtB,CAAP;AAIH;;MCPYjB,SAAO,GAAGW,YAAY,CAACrB,eAAD,EAAU;AACzC6B,EAAAA,OAAO,EAAE;AACL,kBAAe,sBAAqBjC,OAAQ,IAAGkC,+BAAY,EAAG;AADzD,GADgC;AAIzCC,EAAAA,MAAM,EAAE,MAJiC;AAKzCC,EAAAA,GAAG,EAAE;AALoC,CAAV,CAA5B;AAOP,AAAO,SAASC,iBAAT,CAA2BC,aAA3B,EAA0C;AAC7C,SAAOb,YAAY,CAACa,aAAD,EAAgB;AAC/BH,IAAAA,MAAM,EAAE,MADuB;AAE/BC,IAAAA,GAAG,EAAE;AAF0B,GAAhB,CAAnB;AAIH;;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/graphql/dist-src/graphql.js b/node_modules/@octokit/graphql/dist-src/graphql.js
index ea20a5485..6df47f6be 100644
--- a/node_modules/@octokit/graphql/dist-src/graphql.js
+++ b/node_modules/@octokit/graphql/dist-src/graphql.js
@@ -5,7 +5,8 @@ const NON_VARIABLE_OPTIONS = [
     "url",
     "headers",
     "request",
-    "query"
+    "query",
+    "mediaType",
 ];
 export function graphql(request, query, options) {
     options =
@@ -23,10 +24,10 @@ export function graphql(request, query, options) {
         result.variables[key] = options[key];
         return result;
     }, {});
-    return request(requestOptions).then(response => {
+    return request(requestOptions).then((response) => {
         if (response.data.errors) {
             throw new GraphqlError(requestOptions, {
-                data: response.data
+                data: response.data,
             });
         }
         return response.data.data;
diff --git a/node_modules/@octokit/graphql/dist-src/index.js b/node_modules/@octokit/graphql/dist-src/index.js
index 5b01f2c79..b20237849 100644
--- a/node_modules/@octokit/graphql/dist-src/index.js
+++ b/node_modules/@octokit/graphql/dist-src/index.js
@@ -4,14 +4,14 @@ import { VERSION } from "./version";
 import { withDefaults } from "./with-defaults";
 export const graphql = withDefaults(request, {
     headers: {
-        "user-agent": `octokit-graphql.js/${VERSION} ${getUserAgent()}`
+        "user-agent": `octokit-graphql.js/${VERSION} ${getUserAgent()}`,
     },
     method: "POST",
-    url: "/graphql"
+    url: "/graphql",
 });
 export function withCustomRequest(customRequest) {
     return withDefaults(customRequest, {
         method: "POST",
-        url: "/graphql"
+        url: "/graphql",
     });
 }
diff --git a/node_modules/@octokit/graphql/dist-src/version.js b/node_modules/@octokit/graphql/dist-src/version.js
index c51216ae1..4efcb01e7 100644
--- a/node_modules/@octokit/graphql/dist-src/version.js
+++ b/node_modules/@octokit/graphql/dist-src/version.js
@@ -1 +1 @@
-export const VERSION = "4.3.1";
+export const VERSION = "4.5.2";
diff --git a/node_modules/@octokit/graphql/dist-src/with-defaults.js b/node_modules/@octokit/graphql/dist-src/with-defaults.js
index 3a5b45134..6ea309e3a 100644
--- a/node_modules/@octokit/graphql/dist-src/with-defaults.js
+++ b/node_modules/@octokit/graphql/dist-src/with-defaults.js
@@ -7,6 +7,6 @@ export function withDefaults(request, newDefaults) {
     };
     return Object.assign(newApi, {
         defaults: withDefaults.bind(null, newRequest),
-        endpoint: Request.endpoint
+        endpoint: Request.endpoint,
     });
 }
diff --git a/node_modules/@octokit/graphql/dist-types/error.d.ts b/node_modules/@octokit/graphql/dist-types/error.d.ts
index 692dc671f..7eb7e0454 100644
--- a/node_modules/@octokit/graphql/dist-types/error.d.ts
+++ b/node_modules/@octokit/graphql/dist-types/error.d.ts
@@ -1,7 +1,7 @@
-import { EndpointOptions, GraphQlQueryResponse } from "./types";
-export declare class GraphqlError<T extends GraphQlQueryResponse> extends Error {
-    request: EndpointOptions;
-    constructor(request: EndpointOptions, response: {
-        data: Required<GraphQlQueryResponse>;
+import { GraphQlEndpointOptions, GraphQlQueryResponse } from "./types";
+export declare class GraphqlError<ResponseData> extends Error {
+    request: GraphQlEndpointOptions;
+    constructor(request: GraphQlEndpointOptions, response: {
+        data: Required<GraphQlQueryResponse<ResponseData>>;
     });
 }
diff --git a/node_modules/@octokit/graphql/dist-types/graphql.d.ts b/node_modules/@octokit/graphql/dist-types/graphql.d.ts
index 47c58006b..2942b8b6e 100644
--- a/node_modules/@octokit/graphql/dist-types/graphql.d.ts
+++ b/node_modules/@octokit/graphql/dist-types/graphql.d.ts
@@ -1,3 +1,3 @@
 import { request as Request } from "@octokit/request";
 import { RequestParameters, GraphQlQueryResponseData } from "./types";
-export declare function graphql(request: typeof Request, query: string | RequestParameters, options?: RequestParameters): Promise<GraphQlQueryResponseData>;
+export declare function graphql<ResponseData = GraphQlQueryResponseData>(request: typeof Request, query: string | RequestParameters, options?: RequestParameters): Promise<ResponseData>;
diff --git a/node_modules/@octokit/graphql/dist-types/types.d.ts b/node_modules/@octokit/graphql/dist-types/types.d.ts
index 2bf164b75..ef60d9547 100644
--- a/node_modules/@octokit/graphql/dist-types/types.d.ts
+++ b/node_modules/@octokit/graphql/dist-types/types.d.ts
@@ -1,7 +1,10 @@
-import * as OctokitTypes from "@octokit/types";
-import { graphql } from "./graphql";
-export declare type EndpointOptions = OctokitTypes.EndpointOptions;
-export declare type RequestParameters = OctokitTypes.RequestParameters;
+import { EndpointOptions, RequestParameters as RequestParametersType, EndpointInterface } from "@octokit/types";
+export declare type GraphQlEndpointOptions = EndpointOptions & {
+    variables?: {
+        [key: string]: unknown;
+    };
+};
+export declare type RequestParameters = RequestParametersType;
 export declare type Query = string;
 export interface graphql {
     /**
@@ -10,29 +13,29 @@ export interface graphql {
      *
      * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
      */
-    (options: OctokitTypes.RequestParameters): GraphQlResponse;
+    <ResponseData>(options: RequestParameters): GraphQlResponse<ResponseData>;
     /**
      * Sends a GraphQL query request based on endpoint options
      *
      * @param {string} query GraphQL query. Example: `'query { viewer { login } }'`.
      * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
      */
-    (query: Query, parameters?: OctokitTypes.RequestParameters): GraphQlResponse;
+    <ResponseData>(query: Query, parameters?: RequestParameters): GraphQlResponse<ResponseData>;
     /**
      * Returns a new `endpoint` with updated route and parameters
      */
-    defaults: (newDefaults: OctokitTypes.RequestParameters) => graphql;
+    defaults: (newDefaults: RequestParameters) => graphql;
     /**
      * Octokit endpoint API, see {@link https://github.com/octokit/endpoint.js|@octokit/endpoint}
      */
-    endpoint: OctokitTypes.EndpointInterface;
+    endpoint: EndpointInterface;
 }
-export declare type GraphQlResponse = ReturnType<typeof graphql>;
+export declare type GraphQlResponse<ResponseData> = Promise<ResponseData>;
 export declare type GraphQlQueryResponseData = {
     [key: string]: any;
-} | null;
-export declare type GraphQlQueryResponse = {
-    data: GraphQlQueryResponseData;
+};
+export declare type GraphQlQueryResponse<ResponseData> = {
+    data: ResponseData;
     errors?: [{
         message: string;
         path: [string];
diff --git a/node_modules/@octokit/graphql/dist-types/version.d.ts b/node_modules/@octokit/graphql/dist-types/version.d.ts
index cd3ef1e6b..40e85aab9 100644
--- a/node_modules/@octokit/graphql/dist-types/version.d.ts
+++ b/node_modules/@octokit/graphql/dist-types/version.d.ts
@@ -1 +1 @@
-export declare const VERSION = "4.3.1";
+export declare const VERSION = "4.5.2";
diff --git a/node_modules/@octokit/graphql/dist-web/index.js b/node_modules/@octokit/graphql/dist-web/index.js
index d4d8c4f50..7ab33009d 100644
--- a/node_modules/@octokit/graphql/dist-web/index.js
+++ b/node_modules/@octokit/graphql/dist-web/index.js
@@ -1,7 +1,7 @@
 import { request } from '@octokit/request';
 import { getUserAgent } from 'universal-user-agent';
 
-const VERSION = "4.3.1";
+const VERSION = "4.5.2";
 
 class GraphqlError extends Error {
     constructor(request, response) {
@@ -24,7 +24,8 @@ const NON_VARIABLE_OPTIONS = [
     "url",
     "headers",
     "request",
-    "query"
+    "query",
+    "mediaType",
 ];
 function graphql(request, query, options) {
     options =
@@ -42,10 +43,10 @@ function graphql(request, query, options) {
         result.variables[key] = options[key];
         return result;
     }, {});
-    return request(requestOptions).then(response => {
+    return request(requestOptions).then((response) => {
         if (response.data.errors) {
             throw new GraphqlError(requestOptions, {
-                data: response.data
+                data: response.data,
             });
         }
         return response.data.data;
@@ -59,21 +60,21 @@ function withDefaults(request$1, newDefaults) {
     };
     return Object.assign(newApi, {
         defaults: withDefaults.bind(null, newRequest),
-        endpoint: request.endpoint
+        endpoint: request.endpoint,
     });
 }
 
 const graphql$1 = withDefaults(request, {
     headers: {
-        "user-agent": `octokit-graphql.js/${VERSION} ${getUserAgent()}`
+        "user-agent": `octokit-graphql.js/${VERSION} ${getUserAgent()}`,
     },
     method: "POST",
-    url: "/graphql"
+    url: "/graphql",
 });
 function withCustomRequest(customRequest) {
     return withDefaults(customRequest, {
         method: "POST",
-        url: "/graphql"
+        url: "/graphql",
     });
 }
 
diff --git a/node_modules/@octokit/graphql/dist-web/index.js.map b/node_modules/@octokit/graphql/dist-web/index.js.map
index efa902e52..6cfe92b64 100644
--- a/node_modules/@octokit/graphql/dist-web/index.js.map
+++ b/node_modules/@octokit/graphql/dist-web/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/error.js","../dist-src/graphql.js","../dist-src/with-defaults.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"4.3.1\";\n","export class GraphqlError extends Error {\n    constructor(request, response) {\n        const message = response.data.errors[0].message;\n        super(message);\n        Object.assign(this, response.data);\n        this.name = \"GraphqlError\";\n        this.request = request;\n        // Maintains proper stack trace (only available on V8)\n        /* istanbul ignore next */\n        if (Error.captureStackTrace) {\n            Error.captureStackTrace(this, this.constructor);\n        }\n    }\n}\n","import { GraphqlError } from \"./error\";\nconst NON_VARIABLE_OPTIONS = [\n    \"method\",\n    \"baseUrl\",\n    \"url\",\n    \"headers\",\n    \"request\",\n    \"query\"\n];\nexport function graphql(request, query, options) {\n    options =\n        typeof query === \"string\"\n            ? (options = Object.assign({ query }, options))\n            : (options = query);\n    const requestOptions = Object.keys(options).reduce((result, key) => {\n        if (NON_VARIABLE_OPTIONS.includes(key)) {\n            result[key] = options[key];\n            return result;\n        }\n        if (!result.variables) {\n            result.variables = {};\n        }\n        result.variables[key] = options[key];\n        return result;\n    }, {});\n    return request(requestOptions).then(response => {\n        if (response.data.errors) {\n            throw new GraphqlError(requestOptions, {\n                data: response.data\n            });\n        }\n        return response.data.data;\n    });\n}\n","import { request as Request } from \"@octokit/request\";\nimport { graphql } from \"./graphql\";\nexport function withDefaults(request, newDefaults) {\n    const newRequest = request.defaults(newDefaults);\n    const newApi = (query, options) => {\n        return graphql(newRequest, query, options);\n    };\n    return Object.assign(newApi, {\n        defaults: withDefaults.bind(null, newRequest),\n        endpoint: Request.endpoint\n    });\n}\n","import { request } from \"@octokit/request\";\nimport { getUserAgent } from \"universal-user-agent\";\nimport { VERSION } from \"./version\";\nimport { withDefaults } from \"./with-defaults\";\nexport const graphql = withDefaults(request, {\n    headers: {\n        \"user-agent\": `octokit-graphql.js/${VERSION} ${getUserAgent()}`\n    },\n    method: \"POST\",\n    url: \"/graphql\"\n});\nexport function withCustomRequest(customRequest) {\n    return withDefaults(customRequest, {\n        method: \"POST\",\n        url: \"/graphql\"\n    });\n}\n"],"names":["request","Request","graphql"],"mappings":";;;AAAO,MAAM,OAAO,GAAG,mBAAmB,CAAC;;ACApC,MAAM,YAAY,SAAS,KAAK,CAAC;IACpC,WAAW,CAAC,OAAO,EAAE,QAAQ,EAAE;QAC3B,MAAM,OAAO,GAAG,QAAQ,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC;QAChD,KAAK,CAAC,OAAO,CAAC,CAAC;QACf,MAAM,CAAC,MAAM,CAAC,IAAI,EAAE,QAAQ,CAAC,IAAI,CAAC,CAAC;QACnC,IAAI,CAAC,IAAI,GAAG,cAAc,CAAC;QAC3B,IAAI,CAAC,OAAO,GAAG,OAAO,CAAC;;;QAGvB,IAAI,KAAK,CAAC,iBAAiB,EAAE;YACzB,KAAK,CAAC,iBAAiB,CAAC,IAAI,EAAE,IAAI,CAAC,WAAW,CAAC,CAAC;SACnD;KACJ;CACJ;;ACZD,MAAM,oBAAoB,GAAG;IACzB,QAAQ;IACR,SAAS;IACT,KAAK;IACL,SAAS;IACT,SAAS;IACT,OAAO;CACV,CAAC;AACF,AAAO,SAAS,OAAO,CAAC,OAAO,EAAE,KAAK,EAAE,OAAO,EAAE;IAC7C,OAAO;QACH,OAAO,KAAK,KAAK,QAAQ;eAClB,OAAO,GAAG,MAAM,CAAC,MAAM,CAAC,EAAE,KAAK,EAAE,EAAE,OAAO,CAAC;eAC3C,OAAO,GAAG,KAAK,CAAC,CAAC;IAC5B,MAAM,cAAc,GAAG,MAAM,CAAC,IAAI,CAAC,OAAO,CAAC,CAAC,MAAM,CAAC,CAAC,MAAM,EAAE,GAAG,KAAK;QAChE,IAAI,oBAAoB,CAAC,QAAQ,CAAC,GAAG,CAAC,EAAE;YACpC,MAAM,CAAC,GAAG,CAAC,GAAG,OAAO,CAAC,GAAG,CAAC,CAAC;YAC3B,OAAO,MAAM,CAAC;SACjB;QACD,IAAI,CAAC,MAAM,CAAC,SAAS,EAAE;YACnB,MAAM,CAAC,SAAS,GAAG,EAAE,CAAC;SACzB;QACD,MAAM,CAAC,SAAS,CAAC,GAAG,CAAC,GAAG,OAAO,CAAC,GAAG,CAAC,CAAC;QACrC,OAAO,MAAM,CAAC;KACjB,EAAE,EAAE,CAAC,CAAC;IACP,OAAO,OAAO,CAAC,cAAc,CAAC,CAAC,IAAI,CAAC,QAAQ,IAAI;QAC5C,IAAI,QAAQ,CAAC,IAAI,CAAC,MAAM,EAAE;YACtB,MAAM,IAAI,YAAY,CAAC,cAAc,EAAE;gBACnC,IAAI,EAAE,QAAQ,CAAC,IAAI;aACtB,CAAC,CAAC;SACN;QACD,OAAO,QAAQ,CAAC,IAAI,CAAC,IAAI,CAAC;KAC7B,CAAC,CAAC;CACN;;AC/BM,SAAS,YAAY,CAACA,SAAO,EAAE,WAAW,EAAE;IAC/C,MAAM,UAAU,GAAGA,SAAO,CAAC,QAAQ,CAAC,WAAW,CAAC,CAAC;IACjD,MAAM,MAAM,GAAG,CAAC,KAAK,EAAE,OAAO,KAAK;QAC/B,OAAO,OAAO,CAAC,UAAU,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC;KAC9C,CAAC;IACF,OAAO,MAAM,CAAC,MAAM,CAAC,MAAM,EAAE;QACzB,QAAQ,EAAE,YAAY,CAAC,IAAI,CAAC,IAAI,EAAE,UAAU,CAAC;QAC7C,QAAQ,EAAEC,OAAO,CAAC,QAAQ;KAC7B,CAAC,CAAC;CACN;;ACPW,MAACC,SAAO,GAAG,YAAY,CAAC,OAAO,EAAE;IACzC,OAAO,EAAE;QACL,YAAY,EAAE,CAAC,mBAAmB,EAAE,OAAO,CAAC,CAAC,EAAE,YAAY,EAAE,CAAC,CAAC;KAClE;IACD,MAAM,EAAE,MAAM;IACd,GAAG,EAAE,UAAU;CAClB,CAAC,CAAC;AACH,AAAO,SAAS,iBAAiB,CAAC,aAAa,EAAE;IAC7C,OAAO,YAAY,CAAC,aAAa,EAAE;QAC/B,MAAM,EAAE,MAAM;QACd,GAAG,EAAE,UAAU;KAClB,CAAC,CAAC;CACN;;;;"}
\ No newline at end of file
+{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/error.js","../dist-src/graphql.js","../dist-src/with-defaults.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"4.5.2\";\n","export class GraphqlError extends Error {\n    constructor(request, response) {\n        const message = response.data.errors[0].message;\n        super(message);\n        Object.assign(this, response.data);\n        this.name = \"GraphqlError\";\n        this.request = request;\n        // Maintains proper stack trace (only available on V8)\n        /* istanbul ignore next */\n        if (Error.captureStackTrace) {\n            Error.captureStackTrace(this, this.constructor);\n        }\n    }\n}\n","import { GraphqlError } from \"./error\";\nconst NON_VARIABLE_OPTIONS = [\n    \"method\",\n    \"baseUrl\",\n    \"url\",\n    \"headers\",\n    \"request\",\n    \"query\",\n    \"mediaType\",\n];\nexport function graphql(request, query, options) {\n    options =\n        typeof query === \"string\"\n            ? (options = Object.assign({ query }, options))\n            : (options = query);\n    const requestOptions = Object.keys(options).reduce((result, key) => {\n        if (NON_VARIABLE_OPTIONS.includes(key)) {\n            result[key] = options[key];\n            return result;\n        }\n        if (!result.variables) {\n            result.variables = {};\n        }\n        result.variables[key] = options[key];\n        return result;\n    }, {});\n    return request(requestOptions).then((response) => {\n        if (response.data.errors) {\n            throw new GraphqlError(requestOptions, {\n                data: response.data,\n            });\n        }\n        return response.data.data;\n    });\n}\n","import { request as Request } from \"@octokit/request\";\nimport { graphql } from \"./graphql\";\nexport function withDefaults(request, newDefaults) {\n    const newRequest = request.defaults(newDefaults);\n    const newApi = (query, options) => {\n        return graphql(newRequest, query, options);\n    };\n    return Object.assign(newApi, {\n        defaults: withDefaults.bind(null, newRequest),\n        endpoint: Request.endpoint,\n    });\n}\n","import { request } from \"@octokit/request\";\nimport { getUserAgent } from \"universal-user-agent\";\nimport { VERSION } from \"./version\";\nimport { withDefaults } from \"./with-defaults\";\nexport const graphql = withDefaults(request, {\n    headers: {\n        \"user-agent\": `octokit-graphql.js/${VERSION} ${getUserAgent()}`,\n    },\n    method: \"POST\",\n    url: \"/graphql\",\n});\nexport function withCustomRequest(customRequest) {\n    return withDefaults(customRequest, {\n        method: \"POST\",\n        url: \"/graphql\",\n    });\n}\n"],"names":["request","Request","graphql"],"mappings":";;;AAAO,MAAM,OAAO,GAAG,mBAAmB;;ACAnC,MAAM,YAAY,SAAS,KAAK,CAAC;AACxC,IAAI,WAAW,CAAC,OAAO,EAAE,QAAQ,EAAE;AACnC,QAAQ,MAAM,OAAO,GAAG,QAAQ,CAAC,IAAI,CAAC,MAAM,CAAC,CAAC,CAAC,CAAC,OAAO,CAAC;AACxD,QAAQ,KAAK,CAAC,OAAO,CAAC,CAAC;AACvB,QAAQ,MAAM,CAAC,MAAM,CAAC,IAAI,EAAE,QAAQ,CAAC,IAAI,CAAC,CAAC;AAC3C,QAAQ,IAAI,CAAC,IAAI,GAAG,cAAc,CAAC;AACnC,QAAQ,IAAI,CAAC,OAAO,GAAG,OAAO,CAAC;AAC/B;AACA;AACA,QAAQ,IAAI,KAAK,CAAC,iBAAiB,EAAE;AACrC,YAAY,KAAK,CAAC,iBAAiB,CAAC,IAAI,EAAE,IAAI,CAAC,WAAW,CAAC,CAAC;AAC5D,SAAS;AACT,KAAK;AACL,CAAC;;ACZD,MAAM,oBAAoB,GAAG;AAC7B,IAAI,QAAQ;AACZ,IAAI,SAAS;AACb,IAAI,KAAK;AACT,IAAI,SAAS;AACb,IAAI,SAAS;AACb,IAAI,OAAO;AACX,IAAI,WAAW;AACf,CAAC,CAAC;AACF,AAAO,SAAS,OAAO,CAAC,OAAO,EAAE,KAAK,EAAE,OAAO,EAAE;AACjD,IAAI,OAAO;AACX,QAAQ,OAAO,KAAK,KAAK,QAAQ;AACjC,eAAe,OAAO,GAAG,MAAM,CAAC,MAAM,CAAC,EAAE,KAAK,EAAE,EAAE,OAAO,CAAC;AAC1D,eAAe,OAAO,GAAG,KAAK,CAAC,CAAC;AAChC,IAAI,MAAM,cAAc,GAAG,MAAM,CAAC,IAAI,CAAC,OAAO,CAAC,CAAC,MAAM,CAAC,CAAC,MAAM,EAAE,GAAG,KAAK;AACxE,QAAQ,IAAI,oBAAoB,CAAC,QAAQ,CAAC,GAAG,CAAC,EAAE;AAChD,YAAY,MAAM,CAAC,GAAG,CAAC,GAAG,OAAO,CAAC,GAAG,CAAC,CAAC;AACvC,YAAY,OAAO,MAAM,CAAC;AAC1B,SAAS;AACT,QAAQ,IAAI,CAAC,MAAM,CAAC,SAAS,EAAE;AAC/B,YAAY,MAAM,CAAC,SAAS,GAAG,EAAE,CAAC;AAClC,SAAS;AACT,QAAQ,MAAM,CAAC,SAAS,CAAC,GAAG,CAAC,GAAG,OAAO,CAAC,GAAG,CAAC,CAAC;AAC7C,QAAQ,OAAO,MAAM,CAAC;AACtB,KAAK,EAAE,EAAE,CAAC,CAAC;AACX,IAAI,OAAO,OAAO,CAAC,cAAc,CAAC,CAAC,IAAI,CAAC,CAAC,QAAQ,KAAK;AACtD,QAAQ,IAAI,QAAQ,CAAC,IAAI,CAAC,MAAM,EAAE;AAClC,YAAY,MAAM,IAAI,YAAY,CAAC,cAAc,EAAE;AACnD,gBAAgB,IAAI,EAAE,QAAQ,CAAC,IAAI;AACnC,aAAa,CAAC,CAAC;AACf,SAAS;AACT,QAAQ,OAAO,QAAQ,CAAC,IAAI,CAAC,IAAI,CAAC;AAClC,KAAK,CAAC,CAAC;AACP,CAAC;;AChCM,SAAS,YAAY,CAACA,SAAO,EAAE,WAAW,EAAE;AACnD,IAAI,MAAM,UAAU,GAAGA,SAAO,CAAC,QAAQ,CAAC,WAAW,CAAC,CAAC;AACrD,IAAI,MAAM,MAAM,GAAG,CAAC,KAAK,EAAE,OAAO,KAAK;AACvC,QAAQ,OAAO,OAAO,CAAC,UAAU,EAAE,KAAK,EAAE,OAAO,CAAC,CAAC;AACnD,KAAK,CAAC;AACN,IAAI,OAAO,MAAM,CAAC,MAAM,CAAC,MAAM,EAAE;AACjC,QAAQ,QAAQ,EAAE,YAAY,CAAC,IAAI,CAAC,IAAI,EAAE,UAAU,CAAC;AACrD,QAAQ,QAAQ,EAAEC,OAAO,CAAC,QAAQ;AAClC,KAAK,CAAC,CAAC;AACP,CAAC;;ACPW,MAACC,SAAO,GAAG,YAAY,CAAC,OAAO,EAAE;AAC7C,IAAI,OAAO,EAAE;AACb,QAAQ,YAAY,EAAE,CAAC,mBAAmB,EAAE,OAAO,CAAC,CAAC,EAAE,YAAY,EAAE,CAAC,CAAC;AACvE,KAAK;AACL,IAAI,MAAM,EAAE,MAAM;AAClB,IAAI,GAAG,EAAE,UAAU;AACnB,CAAC,CAAC,CAAC;AACH,AAAO,SAAS,iBAAiB,CAAC,aAAa,EAAE;AACjD,IAAI,OAAO,YAAY,CAAC,aAAa,EAAE;AACvC,QAAQ,MAAM,EAAE,MAAM;AACtB,QAAQ,GAAG,EAAE,UAAU;AACvB,KAAK,CAAC,CAAC;AACP,CAAC;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/graphql/package.json b/node_modules/@octokit/graphql/package.json
index 68b9d4a3f..154263891 100644
--- a/node_modules/@octokit/graphql/package.json
+++ b/node_modules/@octokit/graphql/package.json
@@ -1,57 +1,56 @@
 {
   "_args": [
     [
-      "@octokit/graphql@4.3.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "@octokit/graphql@4.5.2",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@octokit/graphql@4.3.1",
-  "_id": "@octokit/graphql@4.3.1",
+  "_from": "@octokit/graphql@4.5.2",
+  "_id": "@octokit/graphql@4.5.2",
   "_inBundle": false,
-  "_integrity": "sha512-hCdTjfvrK+ilU2keAdqNBWOk+gm1kai1ZcdjRfB30oA3/T6n53UVJb7w0L5cR3/rhU91xT3HSqCd+qbvH06yxA==",
+  "_integrity": "sha512-SpB/JGdB7bxRj8qowwfAXjMpICUYSJqRDj26MKJAryRQBqp/ZzARsaO2LEFWzDaps0FLQoPYVGppS0HQXkBhdg==",
   "_location": "/@octokit/graphql",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@octokit/graphql@4.3.1",
+    "raw": "@octokit/graphql@4.5.2",
     "name": "@octokit/graphql",
     "escapedName": "@octokit%2fgraphql",
     "scope": "@octokit",
-    "rawSpec": "4.3.1",
+    "rawSpec": "4.5.2",
     "saveSpec": null,
-    "fetchSpec": "4.3.1"
+    "fetchSpec": "4.5.2"
   },
   "_requiredBy": [
-    "/@actions/github"
+    "/@octokit/core"
   ],
-  "_resolved": "https://registry.npmjs.org/@octokit/graphql/-/graphql-4.3.1.tgz",
-  "_spec": "4.3.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@octokit/graphql/-/graphql-4.5.2.tgz",
+  "_spec": "4.5.2",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/octokit/graphql.js/issues"
   },
-  "deno": "dist-web/index.js",
   "dependencies": {
     "@octokit/request": "^5.3.0",
-    "@octokit/types": "^2.0.0",
-    "universal-user-agent": "^4.0.0"
+    "@octokit/types": "^5.0.0",
+    "universal-user-agent": "^6.0.0"
   },
   "description": "GitHub GraphQL API client for browsers and Node",
   "devDependencies": {
     "@pika/pack": "^0.5.0",
-    "@pika/plugin-build-node": "^0.7.0",
-    "@pika/plugin-build-web": "^0.7.0",
-    "@pika/plugin-ts-standard-pkg": "^0.7.0",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
     "@types/fetch-mock": "^7.2.5",
-    "@types/jest": "^24.0.13",
-    "@types/node": "^12.0.2",
-    "fetch-mock": "^7.3.1",
-    "jest": "^24.8.0",
-    "prettier": "^1.17.1",
-    "semantic-release": "^15.13.3",
+    "@types/jest": "^26.0.0",
+    "@types/node": "^14.0.4",
+    "fetch-mock": "^9.0.0",
+    "jest": "^25.1.0",
+    "prettier": "^2.0.0",
+    "semantic-release": "^17.0.0",
     "semantic-release-plugin-update-version-in-files": "^1.0.0",
-    "ts-jest": "^24.0.2",
+    "ts-jest": "^25.1.0",
     "typescript": "^3.4.5"
   },
   "files": [
@@ -67,6 +66,7 @@
   ],
   "license": "MIT",
   "main": "dist-node/index.js",
+  "module": "dist-web/index.js",
   "name": "@octokit/graphql",
   "pika": true,
   "publishConfig": {
@@ -79,5 +79,5 @@
   "sideEffects": false,
   "source": "dist-src/index.js",
   "types": "dist-types/index.d.ts",
-  "version": "4.3.1"
+  "version": "4.5.2"
 }
diff --git a/node_modules/@octokit/plugin-paginate-rest/README.md b/node_modules/@octokit/plugin-paginate-rest/README.md
index 433766718..3c3e2ae95 100644
--- a/node_modules/@octokit/plugin-paginate-rest/README.md
+++ b/node_modules/@octokit/plugin-paginate-rest/README.md
@@ -4,7 +4,6 @@
 
 [![@latest](https://img.shields.io/npm/v/@octokit/plugin-paginate-rest.svg)](https://www.npmjs.com/package/@octokit/plugin-paginate-rest)
 [![Build Status](https://github.com/octokit/plugin-paginate-rest.js/workflows/Test/badge.svg)](https://github.com/octokit/plugin-paginate-rest.js/actions?workflow=Test)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/plugin-paginate-rest.js.svg)](https://greenkeeper.io/)
 
 ## Usage
 
@@ -48,11 +47,11 @@ const issues = await octokit.paginate("GET /repos/:owner/:repo/issues", {
   owner: "octocat",
   repo: "hello-world",
   since: "2010-10-01",
-  per_page: 100
+  per_page: 100,
 });
 ```
 
-## `octokit.paginate(route, parameters, mapFunction)` or `octokit.paginate(options, mapFunction)`
+## `octokit.paginate()`
 
 The `paginateRest` plugin adds a new `octokit.paginate()` method which accepts the same parameters as [`octokit.request`](https://github.com/octokit/request.js#request). Only "List ..." endpoints such as [List issues for a repository](https://developer.github.com/v3/issues/#list-issues-for-a-repository) are supporting pagination. Their [response includes a Link header](https://developer.github.com/v3/issues/#response-1). For other endpoints, `octokit.paginate()` behaves the same as `octokit.request()`.
 
@@ -67,9 +66,9 @@ const issueTitles = await octokit.paginate(
     owner: "octocat",
     repo: "hello-world",
     since: "2010-10-01",
-    per_page: 100
+    per_page: 100,
   },
-  response => response.data.map(issue => issue.title)
+  (response) => response.data.map((issue) => issue.title)
 );
 ```
 
@@ -82,10 +81,10 @@ const issues = await octokit.paginate(
     owner: "octocat",
     repo: "hello-world",
     since: "2010-10-01",
-    per_page: 100
+    per_page: 100,
   },
   (response, done) => {
-    if (response.data.find(issues => issue.title.includes("something"))) {
+    if (response.data.find((issues) => issue.title.includes("something"))) {
       done();
     }
     return response.data;
@@ -93,20 +92,52 @@ const issues = await octokit.paginate(
 );
 ```
 
-## `octokit.paginate.iterator(route, parameters)` or `octokit.paginate.iterator(options)`
+Alternatively you can pass a `request` method as first argument. This is great when using in combination with [`@octokit/plugin-rest-endpoint-methods`](https://github.com/octokit/plugin-rest-endpoint-methods.js/):
+
+```js
+const issues = await octokit.paginate(octokit.issues.listForRepo, {
+  owner: "octocat",
+  repo: "hello-world",
+  since: "2010-10-01",
+  per_page: 100,
+});
+```
+
+## `octokit.paginate.iterator()`
 
 If your target runtime environments supports async iterators (such as most modern browsers and Node 10+), you can iterate through each response
 
 ```js
 const parameters = {
-    owner: "octocat",
-    repo: "hello-world",
-    since: "2010-10-01",
-    per_page: 100
-  }
-for await (const response of octokit.paginate.iterator("GET /repos/:owner/:repo/issues", parameters)) {
+  owner: "octocat",
+  repo: "hello-world",
+  since: "2010-10-01",
+  per_page: 100,
+};
+for await (const response of octokit.paginate.iterator(
+  "GET /repos/:owner/:repo/issues",
+  parameters
+)) {
+  // do whatever you want with each response, break out of the loop, etc.
+  console.log(response.data.title);
+}
+```
+
+Alternatively you can pass a `request` method as first argument. This is great when using in combination with [`@octokit/plugin-rest-endpoint-methods`](https://github.com/octokit/plugin-rest-endpoint-methods.js/):
+
+```js
+const parameters = {
+  owner: "octocat",
+  repo: "hello-world",
+  since: "2010-10-01",
+  per_page: 100,
+};
+for await (const response of octokit.paginate.iterator(
+  octokit.issues.listForRepo,
+  parameters
+)) {
   // do whatever you want with each response, break out of the loop, etc.
-  console.log(response.data.title)
+  console.log(response.data.title);
 }
 ```
 
@@ -114,7 +145,7 @@ for await (const response of octokit.paginate.iterator("GET /repos/:owner/:repo/
 
 `octokit.paginate()` wraps `octokit.request()`. As long as a `rel="next"` link value is present in the response's `Link` header, it sends another request for that URL, and so on.
 
-Most of GitHub's paginating REST API endpoints return an array, but there are a few exceptions which return an object with a key that includes the items array.
+Most of GitHub's paginating REST API endpoints return an array, but there are a few exceptions which return an object with a key that includes the items array. For example:
 
 - [Search repositories](https://developer.github.com/v3/search/#example) (key `items`)
 - [List check runs for a specific ref](https://developer.github.com/v3/checks/runs/#response-3) (key: `check_runs`)
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-node/index.js b/node_modules/@octokit/plugin-paginate-rest/dist-node/index.js
index 193593156..7998fc65e 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-node/index.js
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-node/index.js
@@ -2,33 +2,27 @@
 
 Object.defineProperty(exports, '__esModule', { value: true });
 
-const VERSION = "1.1.2";
+const VERSION = "2.3.0";
 
 /**
  * Some “list” response that can be paginated have a different response structure
  *
  * They have a `total_count` key in the response (search also has `incomplete_results`,
  * /installation/repositories also has `repository_selection`), as well as a key with
- * the list of the items which name varies from endpoint to endpoint:
- *
- * - https://developer.github.com/v3/search/#example (key `items`)
- * - https://developer.github.com/v3/checks/runs/#response-3 (key: `check_runs`)
- * - https://developer.github.com/v3/checks/suites/#response-1 (key: `check_suites`)
- * - https://developer.github.com/v3/apps/installations/#list-repositories (key: `repositories`)
- * - https://developer.github.com/v3/apps/installations/#list-installations-for-a-user (key `installations`)
+ * the list of the items which name varies from endpoint to endpoint.
  *
  * Octokit normalizes these responses so that paginated results are always returned following
  * the same structure. One challenge is that if the list response has only one page, no Link
  * header is provided, so this header alone is not sufficient to check wether a response is
- * paginated or not. For the exceptions with the namespace, a fallback check for the route
- * paths has to be added in order to normalize the response. We cannot check for the total_count
- * property because it also exists in the response of Get the combined status for a specific ref.
+ * paginated or not.
+ *
+ * We check if a "total_count" key is present in the response data, but also make sure that
+ * a "url" property is not, as the "Get the combined status for a specific ref" endpoint would
+ * otherwise match: https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref
  */
-const REGEX = [/^\/search\//, /^\/repos\/[^/]+\/[^/]+\/commits\/[^/]+\/(check-runs|check-suites)([^/]|$)/, /^\/installation\/repositories([^/]|$)/, /^\/user\/installations([^/]|$)/, /^\/repos\/[^/]+\/[^/]+\/actions\/secrets([^/]|$)/, /^\/repos\/[^/]+\/[^/]+\/actions\/workflows(\/[^/]+\/runs)?([^/]|$)/, /^\/repos\/[^/]+\/[^/]+\/actions\/runs(\/[^/]+\/(artifacts|jobs))?([^/]|$)/];
-function normalizePaginatedListResponse(octokit, url, response) {
-  const path = url.replace(octokit.request.endpoint.DEFAULTS.baseUrl, "");
-  const responseNeedsNormalization = REGEX.find(regex => regex.test(path));
-  if (!responseNeedsNormalization) return; // keep the additional properties intact as there is currently no other way
+function normalizePaginatedListResponse(response) {
+  const responseNeedsNormalization = "total_count" in response.data && !("url" in response.data);
+  if (!responseNeedsNormalization) return response; // keep the additional properties intact as there is currently no other way
   // to retrieve the same information.
 
   const incompleteResults = response.data.incomplete_results;
@@ -50,17 +44,12 @@ function normalizePaginatedListResponse(octokit, url, response) {
   }
 
   response.data.total_count = totalCount;
-  Object.defineProperty(response.data, namespaceKey, {
-    get() {
-      octokit.log.warn(`[@octokit/paginate-rest] "response.data.${namespaceKey}" is deprecated for "GET ${path}". Get the results directly from "response.data"`);
-      return Array.from(data);
-    }
-
-  });
+  return response;
 }
 
 function iterator(octokit, route, parameters) {
-  const options = octokit.request.endpoint(route, parameters);
+  const options = typeof route === "function" ? route.endpoint(parameters) : octokit.request.endpoint(route, parameters);
+  const requestMethod = typeof route === "function" ? route : octokit.request;
   const method = options.method;
   const headers = options.headers;
   let url = options.url;
@@ -73,15 +62,14 @@ function iterator(octokit, route, parameters) {
           });
         }
 
-        return octokit.request({
+        return requestMethod({
           method,
           url,
           headers
-        }).then(response => {
-          normalizePaginatedListResponse(octokit, url, response); // `response.headers.link` format:
+        }).then(normalizePaginatedListResponse).then(response => {
+          // `response.headers.link` format:
           // '<https://api.github.com/users/aseemk/followers?page=2>; rel="next", <https://api.github.com/users/aseemk/followers?page=2>; rel="last"'
           // sets `url` to undefined if "next" URL is not present or `link` header is not set
-
           url = ((response.headers.link || "").match(/<([^>]+)>;\s*rel="next"/) || [])[1];
           return {
             value: response
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-node/index.js.map b/node_modules/@octokit/plugin-paginate-rest/dist-node/index.js.map
index 7955fa759..d107b0b55 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-node/index.js.map
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-node/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/normalize-paginated-list-response.js","../dist-src/iterator.js","../dist-src/paginate.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"1.1.2\";\n","/**\n * Some “list” response that can be paginated have a different response structure\n *\n * They have a `total_count` key in the response (search also has `incomplete_results`,\n * /installation/repositories also has `repository_selection`), as well as a key with\n * the list of the items which name varies from endpoint to endpoint:\n *\n * - https://developer.github.com/v3/search/#example (key `items`)\n * - https://developer.github.com/v3/checks/runs/#response-3 (key: `check_runs`)\n * - https://developer.github.com/v3/checks/suites/#response-1 (key: `check_suites`)\n * - https://developer.github.com/v3/apps/installations/#list-repositories (key: `repositories`)\n * - https://developer.github.com/v3/apps/installations/#list-installations-for-a-user (key `installations`)\n *\n * Octokit normalizes these responses so that paginated results are always returned following\n * the same structure. One challenge is that if the list response has only one page, no Link\n * header is provided, so this header alone is not sufficient to check wether a response is\n * paginated or not. For the exceptions with the namespace, a fallback check for the route\n * paths has to be added in order to normalize the response. We cannot check for the total_count\n * property because it also exists in the response of Get the combined status for a specific ref.\n */\nconst REGEX = [\n    /^\\/search\\//,\n    /^\\/repos\\/[^/]+\\/[^/]+\\/commits\\/[^/]+\\/(check-runs|check-suites)([^/]|$)/,\n    /^\\/installation\\/repositories([^/]|$)/,\n    /^\\/user\\/installations([^/]|$)/,\n    /^\\/repos\\/[^/]+\\/[^/]+\\/actions\\/secrets([^/]|$)/,\n    /^\\/repos\\/[^/]+\\/[^/]+\\/actions\\/workflows(\\/[^/]+\\/runs)?([^/]|$)/,\n    /^\\/repos\\/[^/]+\\/[^/]+\\/actions\\/runs(\\/[^/]+\\/(artifacts|jobs))?([^/]|$)/\n];\nexport function normalizePaginatedListResponse(octokit, url, response) {\n    const path = url.replace(octokit.request.endpoint.DEFAULTS.baseUrl, \"\");\n    const responseNeedsNormalization = REGEX.find(regex => regex.test(path));\n    if (!responseNeedsNormalization)\n        return;\n    // keep the additional properties intact as there is currently no other way\n    // to retrieve the same information.\n    const incompleteResults = response.data.incomplete_results;\n    const repositorySelection = response.data.repository_selection;\n    const totalCount = response.data.total_count;\n    delete response.data.incomplete_results;\n    delete response.data.repository_selection;\n    delete response.data.total_count;\n    const namespaceKey = Object.keys(response.data)[0];\n    const data = response.data[namespaceKey];\n    response.data = data;\n    if (typeof incompleteResults !== \"undefined\") {\n        response.data.incomplete_results = incompleteResults;\n    }\n    if (typeof repositorySelection !== \"undefined\") {\n        response.data.repository_selection = repositorySelection;\n    }\n    response.data.total_count = totalCount;\n    Object.defineProperty(response.data, namespaceKey, {\n        get() {\n            octokit.log.warn(`[@octokit/paginate-rest] \"response.data.${namespaceKey}\" is deprecated for \"GET ${path}\". Get the results directly from \"response.data\"`);\n            return Array.from(data);\n        }\n    });\n}\n","import { normalizePaginatedListResponse } from \"./normalize-paginated-list-response\";\nexport function iterator(octokit, route, parameters) {\n    const options = octokit.request.endpoint(route, parameters);\n    const method = options.method;\n    const headers = options.headers;\n    let url = options.url;\n    return {\n        [Symbol.asyncIterator]: () => ({\n            next() {\n                if (!url) {\n                    return Promise.resolve({ done: true });\n                }\n                return octokit\n                    .request({ method, url, headers })\n                    .then((response) => {\n                    normalizePaginatedListResponse(octokit, url, response);\n                    // `response.headers.link` format:\n                    // '<https://api.github.com/users/aseemk/followers?page=2>; rel=\"next\", <https://api.github.com/users/aseemk/followers?page=2>; rel=\"last\"'\n                    // sets `url` to undefined if \"next\" URL is not present or `link` header is not set\n                    url = ((response.headers.link || \"\").match(/<([^>]+)>;\\s*rel=\"next\"/) || [])[1];\n                    return { value: response };\n                });\n            }\n        })\n    };\n}\n","import { iterator } from \"./iterator\";\nexport function paginate(octokit, route, parameters, mapFn) {\n    if (typeof parameters === \"function\") {\n        mapFn = parameters;\n        parameters = undefined;\n    }\n    return gather(octokit, [], iterator(octokit, route, parameters)[Symbol.asyncIterator](), mapFn);\n}\nfunction gather(octokit, results, iterator, mapFn) {\n    return iterator.next().then(result => {\n        if (result.done) {\n            return results;\n        }\n        let earlyExit = false;\n        function done() {\n            earlyExit = true;\n        }\n        results = results.concat(mapFn ? 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+{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/normalize-paginated-list-response.js","../dist-src/iterator.js","../dist-src/paginate.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"2.3.0\";\n","/**\n * Some “list” response that can be paginated have a different response structure\n *\n * They have a `total_count` key in the response (search also has `incomplete_results`,\n * /installation/repositories also has `repository_selection`), as well as a key with\n * the list of the items which name varies from endpoint to endpoint.\n *\n * Octokit normalizes these responses so that paginated results are always returned following\n * the same structure. One challenge is that if the list response has only one page, no Link\n * header is provided, so this header alone is not sufficient to check wether a response is\n * paginated or not.\n *\n * We check if a \"total_count\" key is present in the response data, but also make sure that\n * a \"url\" property is not, as the \"Get the combined status for a specific ref\" endpoint would\n * otherwise match: https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref\n */\nexport function normalizePaginatedListResponse(response) {\n    const responseNeedsNormalization = \"total_count\" in response.data && !(\"url\" in response.data);\n    if (!responseNeedsNormalization)\n        return response;\n    // keep the additional properties intact as there is currently no other way\n    // to retrieve the same information.\n    const incompleteResults = response.data.incomplete_results;\n    const repositorySelection = response.data.repository_selection;\n    const totalCount = response.data.total_count;\n    delete response.data.incomplete_results;\n    delete response.data.repository_selection;\n    delete response.data.total_count;\n    const namespaceKey = Object.keys(response.data)[0];\n    const data = response.data[namespaceKey];\n    response.data = data;\n    if (typeof incompleteResults !== \"undefined\") {\n        response.data.incomplete_results = incompleteResults;\n    }\n    if (typeof repositorySelection !== \"undefined\") {\n        response.data.repository_selection = repositorySelection;\n    }\n    response.data.total_count = totalCount;\n    return response;\n}\n","import { normalizePaginatedListResponse } from \"./normalize-paginated-list-response\";\nexport function iterator(octokit, route, parameters) {\n    const options = typeof route === \"function\"\n        ? route.endpoint(parameters)\n        : octokit.request.endpoint(route, parameters);\n    const requestMethod = typeof route === \"function\" ? route : octokit.request;\n    const method = options.method;\n    const headers = options.headers;\n    let url = options.url;\n    return {\n        [Symbol.asyncIterator]: () => ({\n            next() {\n                if (!url) {\n                    return Promise.resolve({ done: true });\n                }\n                return requestMethod({ method, url, headers })\n                    .then(normalizePaginatedListResponse)\n                    .then((response) => {\n                    // `response.headers.link` format:\n                    // '<https://api.github.com/users/aseemk/followers?page=2>; rel=\"next\", <https://api.github.com/users/aseemk/followers?page=2>; rel=\"last\"'\n                    // sets `url` to undefined if \"next\" URL is not present or `link` header is not set\n                    url = ((response.headers.link || \"\").match(/<([^>]+)>;\\s*rel=\"next\"/) || [])[1];\n                    return { value: response };\n                });\n            },\n        }),\n    };\n}\n","import { iterator } from \"./iterator\";\nexport function paginate(octokit, route, parameters, mapFn) {\n    if (typeof parameters === \"function\") {\n        mapFn = parameters;\n        parameters = undefined;\n    }\n    return gather(octokit, [], iterator(octokit, route, parameters)[Symbol.asyncIterator](), mapFn);\n}\nfunction gather(octokit, results, iterator, mapFn) {\n    return iterator.next().then((result) => {\n        if (result.done) {\n            return results;\n        }\n        let earlyExit = false;\n        function done() {\n            earlyExit = true;\n        }\n        results = results.concat(mapFn ? mapFn(result.value, done) : result.value.data);\n        if (earlyExit) {\n            return results;\n        }\n        return gather(octokit, results, iterator, mapFn);\n    });\n}\n","import { VERSION } from \"./version\";\nimport { paginate } from \"./paginate\";\nimport { iterator } from \"./iterator\";\n/**\n * @param octokit Octokit instance\n * @param options Options passed to Octokit constructor\n */\nexport function paginateRest(octokit) {\n    return {\n        paginate: Object.assign(paginate.bind(null, octokit), {\n            iterator: iterator.bind(null, octokit),\n        }),\n    };\n}\npaginateRest.VERSION = VERSION;\n"],"names":["VERSION","normalizePaginatedListResponse","response","responseNeedsNormalization","data","incompleteResults","incomplete_results","repositorySelection","repository_selection","totalCount","total_count","namespaceKey","Object","keys","iterator","octokit","route","parameters","options","endpoint","request","requestMethod","method","headers","url","Symbol","asyncIterator","next","Promise","resolve","done","then","link","match","value","paginate","mapFn","undefined","gather","results","result","earlyExit","concat","paginateRest","assign","bind"],"mappings":";;;;AAAO,MAAMA,OAAO,GAAG,mBAAhB;;ACAP;;;;;;;;;;;;;;;;AAgBA,AAAO,SAASC,8BAAT,CAAwCC,QAAxC,EAAkD;AACrD,QAAMC,0BAA0B,GAAG,iBAAiBD,QAAQ,CAACE,IAA1B,IAAkC,EAAE,SAASF,QAAQ,CAACE,IAApB,CAArE;AACA,MAAI,CAACD,0BAAL,EACI,OAAOD,QAAP,CAHiD;AAKrD;;AACA,QAAMG,iBAAiB,GAAGH,QAAQ,CAACE,IAAT,CAAcE,kBAAxC;AACA,QAAMC,mBAAmB,GAAGL,QAAQ,CAACE,IAAT,CAAcI,oBAA1C;AACA,QAAMC,UAAU,GAAGP,QAAQ,CAACE,IAAT,CAAcM,WAAjC;AACA,SAAOR,QAAQ,CAACE,IAAT,CAAcE,kBAArB;AACA,SAAOJ,QAAQ,CAACE,IAAT,CAAcI,oBAArB;AACA,SAAON,QAAQ,CAACE,IAAT,CAAcM,WAArB;AACA,QAAMC,YAAY,GAAGC,MAAM,CAACC,IAAP,CAAYX,QAAQ,CAACE,IAArB,EAA2B,CAA3B,CAArB;AACA,QAAMA,IAAI,GAAGF,QAAQ,CAACE,IAAT,CAAcO,YAAd,CAAb;AACAT,EAAAA,QAAQ,CAACE,IAAT,GAAgBA,IAAhB;;AACA,MAAI,OAAOC,iBAAP,KAA6B,WAAjC,EAA8C;AAC1CH,IAAAA,QAAQ,CAACE,IAAT,CAAcE,kBAAd,GAAmCD,iBAAnC;AACH;;AACD,MAAI,OAAOE,mBAAP,KAA+B,WAAnC,EAAgD;AAC5CL,IAAAA,QAAQ,CAACE,IAAT,CAAcI,oBAAd,GAAqCD,mBAArC;AACH;;AACDL,EAAAA,QAAQ,CAACE,IAAT,CAAcM,WAAd,GAA4BD,UAA5B;AACA,SAAOP,QAAP;AACH;;ACtCM,SAASY,QAAT,CAAkBC,OAAlB,EAA2BC,KAA3B,EAAkCC,UAAlC,EAA8C;AACjD,QAAMC,OAAO,GAAG,OAAOF,KAAP,KAAiB,UAAjB,GACVA,KAAK,CAACG,QAAN,CAAeF,UAAf,CADU,GAEVF,OAAO,CAACK,OAAR,CAAgBD,QAAhB,CAAyBH,KAAzB,EAAgCC,UAAhC,CAFN;AAGA,QAAMI,aAAa,GAAG,OAAOL,KAAP,KAAiB,UAAjB,GAA8BA,KAA9B,GAAsCD,OAAO,CAACK,OAApE;AACA,QAAME,MAAM,GAAGJ,OAAO,CAACI,MAAvB;AACA,QAAMC,OAAO,GAAGL,OAAO,CAACK,OAAxB;AACA,MAAIC,GAAG,GAAGN,OAAO,CAACM,GAAlB;AACA,SAAO;AACH,KAACC,MAAM,CAACC,aAAR,GAAwB,OAAO;AAC3BC,MAAAA,IAAI,GAAG;AACH,YAAI,CAACH,GAAL,EAAU;AACN,iBAAOI,OAAO,CAACC,OAAR,CAAgB;AAAEC,YAAAA,IAAI,EAAE;AAAR,WAAhB,CAAP;AACH;;AACD,eAAOT,aAAa,CAAC;AAAEC,UAAAA,MAAF;AAAUE,UAAAA,GAAV;AAAeD,UAAAA;AAAf,SAAD,CAAb,CACFQ,IADE,CACG9B,8BADH,EAEF8B,IAFE,CAEI7B,QAAD,IAAc;AACpB;AACA;AACA;AACAsB,UAAAA,GAAG,GAAG,CAAC,CAACtB,QAAQ,CAACqB,OAAT,CAAiBS,IAAjB,IAAyB,EAA1B,EAA8BC,KAA9B,CAAoC,yBAApC,KAAkE,EAAnE,EAAuE,CAAvE,CAAN;AACA,iBAAO;AAAEC,YAAAA,KAAK,EAAEhC;AAAT,WAAP;AACH,SARM,CAAP;AASH;;AAd0B,KAAP;AADrB,GAAP;AAkBH;;AC1BM,SAASiC,QAAT,CAAkBpB,OAAlB,EAA2BC,KAA3B,EAAkCC,UAAlC,EAA8CmB,KAA9C,EAAqD;AACxD,MAAI,OAAOnB,UAAP,KAAsB,UAA1B,EAAsC;AAClCmB,IAAAA,KAAK,GAAGnB,UAAR;AACAA,IAAAA,UAAU,GAAGoB,SAAb;AACH;;AACD,SAAOC,MAAM,CAACvB,OAAD,EAAU,EAAV,EAAcD,QAAQ,CAACC,OAAD,EAAUC,KAAV,EAAiBC,UAAjB,CAAR,CAAqCQ,MAAM,CAACC,aAA5C,GAAd,EAA4EU,KAA5E,CAAb;AACH;;AACD,SAASE,MAAT,CAAgBvB,OAAhB,EAAyBwB,OAAzB,EAAkCzB,QAAlC,EAA4CsB,KAA5C,EAAmD;AAC/C,SAAOtB,QAAQ,CAACa,IAAT,GAAgBI,IAAhB,CAAsBS,MAAD,IAAY;AACpC,QAAIA,MAAM,CAACV,IAAX,EAAiB;AACb,aAAOS,OAAP;AACH;;AACD,QAAIE,SAAS,GAAG,KAAhB;;AACA,aAASX,IAAT,GAAgB;AACZW,MAAAA,SAAS,GAAG,IAAZ;AACH;;AACDF,IAAAA,OAAO,GAAGA,OAAO,CAACG,MAAR,CAAeN,KAAK,GAAGA,KAAK,CAACI,MAAM,CAACN,KAAR,EAAeJ,IAAf,CAAR,GAA+BU,MAAM,CAACN,KAAP,CAAa9B,IAAhE,CAAV;;AACA,QAAIqC,SAAJ,EAAe;AACX,aAAOF,OAAP;AACH;;AACD,WAAOD,MAAM,CAACvB,OAAD,EAAUwB,OAAV,EAAmBzB,QAAnB,EAA6BsB,KAA7B,CAAb;AACH,GAbM,CAAP;AAcH;;ACpBD;;;;;AAIA,AAAO,SAASO,YAAT,CAAsB5B,OAAtB,EAA+B;AAClC,SAAO;AACHoB,IAAAA,QAAQ,EAAEvB,MAAM,CAACgC,MAAP,CAAcT,QAAQ,CAACU,IAAT,CAAc,IAAd,EAAoB9B,OAApB,CAAd,EAA4C;AAClDD,MAAAA,QAAQ,EAAEA,QAAQ,CAAC+B,IAAT,CAAc,IAAd,EAAoB9B,OAApB;AADwC,KAA5C;AADP,GAAP;AAKH;AACD4B,YAAY,CAAC3C,OAAb,GAAuBA,OAAvB;;;;"}
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diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-src/generated/paginating-endpoints.js b/node_modules/@octokit/plugin-paginate-rest/dist-src/generated/paginating-endpoints.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-src/index.js b/node_modules/@octokit/plugin-paginate-rest/dist-src/index.js
index aa5fe65fb..ef1bdb02a 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-src/index.js
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-src/index.js
@@ -8,8 +8,8 @@ import { iterator } from "./iterator";
 export function paginateRest(octokit) {
     return {
         paginate: Object.assign(paginate.bind(null, octokit), {
-            iterator: iterator.bind(null, octokit)
-        })
+            iterator: iterator.bind(null, octokit),
+        }),
     };
 }
 paginateRest.VERSION = VERSION;
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-src/iterator.js b/node_modules/@octokit/plugin-paginate-rest/dist-src/iterator.js
index 0f9733821..092fabcdb 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-src/iterator.js
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-src/iterator.js
@@ -1,6 +1,9 @@
 import { normalizePaginatedListResponse } from "./normalize-paginated-list-response";
 export function iterator(octokit, route, parameters) {
-    const options = octokit.request.endpoint(route, parameters);
+    const options = typeof route === "function"
+        ? route.endpoint(parameters)
+        : octokit.request.endpoint(route, parameters);
+    const requestMethod = typeof route === "function" ? route : octokit.request;
     const method = options.method;
     const headers = options.headers;
     let url = options.url;
@@ -10,17 +13,16 @@ export function iterator(octokit, route, parameters) {
                 if (!url) {
                     return Promise.resolve({ done: true });
                 }
-                return octokit
-                    .request({ method, url, headers })
+                return requestMethod({ method, url, headers })
+                    .then(normalizePaginatedListResponse)
                     .then((response) => {
-                    normalizePaginatedListResponse(octokit, url, response);
                     // `response.headers.link` format:
                     // '<https://api.github.com/users/aseemk/followers?page=2>; rel="next", <https://api.github.com/users/aseemk/followers?page=2>; rel="last"'
                     // sets `url` to undefined if "next" URL is not present or `link` header is not set
                     url = ((response.headers.link || "").match(/<([^>]+)>;\s*rel="next"/) || [])[1];
                     return { value: response };
                 });
-            }
-        })
+            },
+        }),
     };
 }
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-src/normalize-paginated-list-response.js b/node_modules/@octokit/plugin-paginate-rest/dist-src/normalize-paginated-list-response.js
index 75fbf1c86..d29c6777c 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-src/normalize-paginated-list-response.js
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-src/normalize-paginated-list-response.js
@@ -3,35 +3,21 @@
  *
  * They have a `total_count` key in the response (search also has `incomplete_results`,
  * /installation/repositories also has `repository_selection`), as well as a key with
- * the list of the items which name varies from endpoint to endpoint:
- *
- * - https://developer.github.com/v3/search/#example (key `items`)
- * - https://developer.github.com/v3/checks/runs/#response-3 (key: `check_runs`)
- * - https://developer.github.com/v3/checks/suites/#response-1 (key: `check_suites`)
- * - https://developer.github.com/v3/apps/installations/#list-repositories (key: `repositories`)
- * - https://developer.github.com/v3/apps/installations/#list-installations-for-a-user (key `installations`)
+ * the list of the items which name varies from endpoint to endpoint.
  *
  * Octokit normalizes these responses so that paginated results are always returned following
  * the same structure. One challenge is that if the list response has only one page, no Link
  * header is provided, so this header alone is not sufficient to check wether a response is
- * paginated or not. For the exceptions with the namespace, a fallback check for the route
- * paths has to be added in order to normalize the response. We cannot check for the total_count
- * property because it also exists in the response of Get the combined status for a specific ref.
+ * paginated or not.
+ *
+ * We check if a "total_count" key is present in the response data, but also make sure that
+ * a "url" property is not, as the "Get the combined status for a specific ref" endpoint would
+ * otherwise match: https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref
  */
-const REGEX = [
-    /^\/search\//,
-    /^\/repos\/[^/]+\/[^/]+\/commits\/[^/]+\/(check-runs|check-suites)([^/]|$)/,
-    /^\/installation\/repositories([^/]|$)/,
-    /^\/user\/installations([^/]|$)/,
-    /^\/repos\/[^/]+\/[^/]+\/actions\/secrets([^/]|$)/,
-    /^\/repos\/[^/]+\/[^/]+\/actions\/workflows(\/[^/]+\/runs)?([^/]|$)/,
-    /^\/repos\/[^/]+\/[^/]+\/actions\/runs(\/[^/]+\/(artifacts|jobs))?([^/]|$)/
-];
-export function normalizePaginatedListResponse(octokit, url, response) {
-    const path = url.replace(octokit.request.endpoint.DEFAULTS.baseUrl, "");
-    const responseNeedsNormalization = REGEX.find(regex => regex.test(path));
+export function normalizePaginatedListResponse(response) {
+    const responseNeedsNormalization = "total_count" in response.data && !("url" in response.data);
     if (!responseNeedsNormalization)
-        return;
+        return response;
     // keep the additional properties intact as there is currently no other way
     // to retrieve the same information.
     const incompleteResults = response.data.incomplete_results;
@@ -50,10 +36,5 @@ export function normalizePaginatedListResponse(octokit, url, response) {
         response.data.repository_selection = repositorySelection;
     }
     response.data.total_count = totalCount;
-    Object.defineProperty(response.data, namespaceKey, {
-        get() {
-            octokit.log.warn(`[@octokit/paginate-rest] "response.data.${namespaceKey}" is deprecated for "GET ${path}". Get the results directly from "response.data"`);
-            return Array.from(data);
-        }
-    });
+    return response;
 }
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-src/paginate.js b/node_modules/@octokit/plugin-paginate-rest/dist-src/paginate.js
index 063380551..8d18a60f1 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-src/paginate.js
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-src/paginate.js
@@ -7,7 +7,7 @@ export function paginate(octokit, route, parameters, mapFn) {
     return gather(octokit, [], iterator(octokit, route, parameters)[Symbol.asyncIterator](), mapFn);
 }
 function gather(octokit, results, iterator, mapFn) {
-    return iterator.next().then(result => {
+    return iterator.next().then((result) => {
         if (result.done) {
             return results;
         }
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-src/version.js b/node_modules/@octokit/plugin-paginate-rest/dist-src/version.js
index 33f364d92..cfe6d8c59 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-src/version.js
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-src/version.js
@@ -1 +1 @@
-export const VERSION = "1.1.2";
+export const VERSION = "2.3.0";
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-types/generated/paginating-endpoints.d.ts b/node_modules/@octokit/plugin-paginate-rest/dist-types/generated/paginating-endpoints.d.ts
new file mode 100644
index 000000000..11dc5dcba
--- /dev/null
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-types/generated/paginating-endpoints.d.ts
@@ -0,0 +1,1215 @@
+import { Endpoints } from "@octokit/types";
+export interface PaginatingEndpoints {
+    /**
+     * @see https://developer.github.com/v3/apps/#list-installations-for-the-authenticated-app
+     */
+    "GET /app/installations": {
+        parameters: Endpoints["GET /app/installations"]["parameters"];
+        response: Endpoints["GET /app/installations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#list-your-grants
+     */
+    "GET /applications/grants": {
+        parameters: Endpoints["GET /applications/grants"]["parameters"];
+        response: Endpoints["GET /applications/grants"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations
+     */
+    "GET /authorizations": {
+        parameters: Endpoints["GET /authorizations"]["parameters"];
+        response: Endpoints["GET /authorizations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-gists-for-the-authenticated-user
+     */
+    "GET /gists": {
+        parameters: Endpoints["GET /gists"]["parameters"];
+        response: Endpoints["GET /gists"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/comments/#list-gist-comments
+     */
+    "GET /gists/:gist_id/comments": {
+        parameters: Endpoints["GET /gists/:gist_id/comments"]["parameters"];
+        response: Endpoints["GET /gists/:gist_id/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-gist-commits
+     */
+    "GET /gists/:gist_id/commits": {
+        parameters: Endpoints["GET /gists/:gist_id/commits"]["parameters"];
+        response: Endpoints["GET /gists/:gist_id/commits"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-gist-forks
+     */
+    "GET /gists/:gist_id/forks": {
+        parameters: Endpoints["GET /gists/:gist_id/forks"]["parameters"];
+        response: Endpoints["GET /gists/:gist_id/forks"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-public-gists
+     */
+    "GET /gists/public": {
+        parameters: Endpoints["GET /gists/public"]["parameters"];
+        response: Endpoints["GET /gists/public"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-starred-gists
+     */
+    "GET /gists/starred": {
+        parameters: Endpoints["GET /gists/starred"]["parameters"];
+        response: Endpoints["GET /gists/starred"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#list-repositories-accessible-to-the-app-installation
+     */
+    "GET /installation/repositories": {
+        parameters: Endpoints["GET /installation/repositories"]["parameters"];
+        response: Endpoints["GET /installation/repositories"]["response"] & {
+            data: Endpoints["GET /installation/repositories"]["response"]["data"]["repositories"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#list-issues-assigned-to-the-authenticated-user
+     */
+    "GET /issues": {
+        parameters: Endpoints["GET /issues"]["parameters"];
+        response: Endpoints["GET /issues"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-plans
+     */
+    "GET /marketplace_listing/plans": {
+        parameters: Endpoints["GET /marketplace_listing/plans"]["parameters"];
+        response: Endpoints["GET /marketplace_listing/plans"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-accounts-for-a-plan
+     */
+    "GET /marketplace_listing/plans/:plan_id/accounts": {
+        parameters: Endpoints["GET /marketplace_listing/plans/:plan_id/accounts"]["parameters"];
+        response: Endpoints["GET /marketplace_listing/plans/:plan_id/accounts"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-plans-stubbed
+     */
+    "GET /marketplace_listing/stubbed/plans": {
+        parameters: Endpoints["GET /marketplace_listing/stubbed/plans"]["parameters"];
+        response: Endpoints["GET /marketplace_listing/stubbed/plans"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-accounts-for-a-plan-stubbed
+     */
+    "GET /marketplace_listing/stubbed/plans/:plan_id/accounts": {
+        parameters: Endpoints["GET /marketplace_listing/stubbed/plans/:plan_id/accounts"]["parameters"];
+        response: Endpoints["GET /marketplace_listing/stubbed/plans/:plan_id/accounts"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#list-notifications-for-the-authenticated-user
+     */
+    "GET /notifications": {
+        parameters: Endpoints["GET /notifications"]["parameters"];
+        response: Endpoints["GET /notifications"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-organizations
+     */
+    "GET /organizations": {
+        parameters: Endpoints["GET /organizations"]["parameters"];
+        response: Endpoints["GET /organizations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#list-self-hosted-runners-for-an-organization
+     */
+    "GET /orgs/:org/actions/runners": {
+        parameters: Endpoints["GET /orgs/:org/actions/runners"]["parameters"];
+        response: Endpoints["GET /orgs/:org/actions/runners"]["response"] & {
+            data: Endpoints["GET /orgs/:org/actions/runners"]["response"]["data"]["runners"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#list-runner-applications-for-an-organization
+     */
+    "GET /orgs/:org/actions/runners/downloads": {
+        parameters: Endpoints["GET /orgs/:org/actions/runners/downloads"]["parameters"];
+        response: Endpoints["GET /orgs/:org/actions/runners/downloads"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#list-organization-secrets
+     */
+    "GET /orgs/:org/actions/secrets": {
+        parameters: Endpoints["GET /orgs/:org/actions/secrets"]["parameters"];
+        response: Endpoints["GET /orgs/:org/actions/secrets"]["response"] & {
+            data: Endpoints["GET /orgs/:org/actions/secrets"]["response"]["data"]["secrets"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#list-selected-repositories-for-an-organization-secret
+     */
+    "GET /orgs/:org/actions/secrets/:secret_name/repositories": {
+        parameters: Endpoints["GET /orgs/:org/actions/secrets/:secret_name/repositories"]["parameters"];
+        response: Endpoints["GET /orgs/:org/actions/secrets/:secret_name/repositories"]["response"] & {
+            data: Endpoints["GET /orgs/:org/actions/secrets/:secret_name/repositories"]["response"]["data"]["repositories"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/blocking/#list-users-blocked-by-an-organization
+     */
+    "GET /orgs/:org/blocks": {
+        parameters: Endpoints["GET /orgs/:org/blocks"]["parameters"];
+        response: Endpoints["GET /orgs/:org/blocks"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-saml-sso-authorizations-for-an-organization
+     */
+    "GET /orgs/:org/credential-authorizations": {
+        parameters: Endpoints["GET /orgs/:org/credential-authorizations"]["parameters"];
+        response: Endpoints["GET /orgs/:org/credential-authorizations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/hooks/#list-organization-webhooks
+     */
+    "GET /orgs/:org/hooks": {
+        parameters: Endpoints["GET /orgs/:org/hooks"]["parameters"];
+        response: Endpoints["GET /orgs/:org/hooks"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-app-installations-for-an-organization
+     */
+    "GET /orgs/:org/installations": {
+        parameters: Endpoints["GET /orgs/:org/installations"]["parameters"];
+        response: Endpoints["GET /orgs/:org/installations"]["response"] & {
+            data: Endpoints["GET /orgs/:org/installations"]["response"]["data"]["installations"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-pending-organization-invitations
+     */
+    "GET /orgs/:org/invitations": {
+        parameters: Endpoints["GET /orgs/:org/invitations"]["parameters"];
+        response: Endpoints["GET /orgs/:org/invitations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-organization-invitation-teams
+     */
+    "GET /orgs/:org/invitations/:invitation_id/teams": {
+        parameters: Endpoints["GET /orgs/:org/invitations/:invitation_id/teams"]["parameters"];
+        response: Endpoints["GET /orgs/:org/invitations/:invitation_id/teams"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#list-organization-issues-assigned-to-the-authenticated-user
+     */
+    "GET /orgs/:org/issues": {
+        parameters: Endpoints["GET /orgs/:org/issues"]["parameters"];
+        response: Endpoints["GET /orgs/:org/issues"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-organization-members
+     */
+    "GET /orgs/:org/members": {
+        parameters: Endpoints["GET /orgs/:org/members"]["parameters"];
+        response: Endpoints["GET /orgs/:org/members"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#list-organization-migrations
+     */
+    "GET /orgs/:org/migrations": {
+        parameters: Endpoints["GET /orgs/:org/migrations"]["parameters"];
+        response: Endpoints["GET /orgs/:org/migrations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#list-repositories-in-an-organization-migration
+     */
+    "GET /orgs/:org/migrations/:migration_id/repositories": {
+        parameters: Endpoints["GET /orgs/:org/migrations/:migration_id/repositories"]["parameters"];
+        response: Endpoints["GET /orgs/:org/migrations/:migration_id/repositories"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/outside_collaborators/#list-outside-collaborators-for-an-organization
+     */
+    "GET /orgs/:org/outside_collaborators": {
+        parameters: Endpoints["GET /orgs/:org/outside_collaborators"]["parameters"];
+        response: Endpoints["GET /orgs/:org/outside_collaborators"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#list-organization-projects
+     */
+    "GET /orgs/:org/projects": {
+        parameters: Endpoints["GET /orgs/:org/projects"]["parameters"];
+        response: Endpoints["GET /orgs/:org/projects"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-public-organization-members
+     */
+    "GET /orgs/:org/public_members": {
+        parameters: Endpoints["GET /orgs/:org/public_members"]["parameters"];
+        response: Endpoints["GET /orgs/:org/public_members"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-organization-repositories
+     */
+    "GET /orgs/:org/repos": {
+        parameters: Endpoints["GET /orgs/:org/repos"]["parameters"];
+        response: Endpoints["GET /orgs/:org/repos"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/team_sync/#list-idp-groups-for-an-organization
+     */
+    "GET /orgs/:org/team-sync/groups": {
+        parameters: Endpoints["GET /orgs/:org/team-sync/groups"]["parameters"];
+        response: Endpoints["GET /orgs/:org/team-sync/groups"]["response"] & {
+            data: Endpoints["GET /orgs/:org/team-sync/groups"]["response"]["data"]["groups"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-teams
+     */
+    "GET /orgs/:org/teams": {
+        parameters: Endpoints["GET /orgs/:org/teams"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#list-discussions
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/discussions"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#list-discussion-comments
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#list-pending-team-invitations
+     */
+    "GET /orgs/:org/teams/:team_slug/invitations": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/invitations"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/invitations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#list-team-members
+     */
+    "GET /orgs/:org/teams/:team_slug/members": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/members"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/members"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-team-projects
+     */
+    "GET /orgs/:org/teams/:team_slug/projects": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/projects"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/projects"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-team-repositories
+     */
+    "GET /orgs/:org/teams/:team_slug/repos": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/repos"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/repos"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/team_sync/#list-idp-groups-for-a-team
+     */
+    "GET /orgs/:org/teams/:team_slug/team-sync/group-mappings": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/team-sync/group-mappings"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/team-sync/group-mappings"]["response"] & {
+            data: Endpoints["GET /orgs/:org/teams/:team_slug/team-sync/group-mappings"]["response"]["data"]["groups"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-child-teams
+     */
+    "GET /orgs/:org/teams/:team_slug/teams": {
+        parameters: Endpoints["GET /orgs/:org/teams/:team_slug/teams"]["parameters"];
+        response: Endpoints["GET /orgs/:org/teams/:team_slug/teams"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/collaborators/#list-project-collaborators
+     */
+    "GET /projects/:project_id/collaborators": {
+        parameters: Endpoints["GET /projects/:project_id/collaborators"]["parameters"];
+        response: Endpoints["GET /projects/:project_id/collaborators"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/columns/#list-project-columns
+     */
+    "GET /projects/:project_id/columns": {
+        parameters: Endpoints["GET /projects/:project_id/columns"]["parameters"];
+        response: Endpoints["GET /projects/:project_id/columns"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/cards/#list-project-cards
+     */
+    "GET /projects/columns/:column_id/cards": {
+        parameters: Endpoints["GET /projects/columns/:column_id/cards"]["parameters"];
+        response: Endpoints["GET /projects/columns/:column_id/cards"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/artifacts/#list-artifacts-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/artifacts": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/artifacts"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/artifacts"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/actions/artifacts"]["response"]["data"]["artifacts"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#list-self-hosted-runners-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/runners": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/runners"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/runners"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/actions/runners"]["response"]["data"]["runners"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#list-runner-applications-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/runners/downloads": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/runners/downloads"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/runners/downloads"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#list-workflow-runs-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/runs": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/runs"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/runs"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/actions/runs"]["response"]["data"]["workflow_runs"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/artifacts/#list-workflow-run-artifacts
+     */
+    "GET /repos/:owner/:repo/actions/runs/:run_id/artifacts": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/artifacts"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/artifacts"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/artifacts"]["response"]["data"]["artifacts"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-jobs/#list-jobs-for-a-workflow-run
+     */
+    "GET /repos/:owner/:repo/actions/runs/:run_id/jobs": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/jobs"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/jobs"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/jobs"]["response"]["data"]["jobs"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#list-repository-secrets
+     */
+    "GET /repos/:owner/:repo/actions/secrets": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/secrets"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/secrets"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/actions/secrets"]["response"]["data"]["secrets"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflows/#list-repository-workflows
+     */
+    "GET /repos/:owner/:repo/actions/workflows": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/workflows"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/workflows"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/actions/workflows"]["response"]["data"]["workflows"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#list-workflow-runs
+     */
+    "GET /repos/:owner/:repo/actions/workflows/:workflow_id/runs": {
+        parameters: Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id/runs"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id/runs"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id/runs"]["response"]["data"]["workflow_runs"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/assignees/#list-assignees
+     */
+    "GET /repos/:owner/:repo/assignees": {
+        parameters: Endpoints["GET /repos/:owner/:repo/assignees"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/assignees"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#list-branches
+     */
+    "GET /repos/:owner/:repo/branches": {
+        parameters: Endpoints["GET /repos/:owner/:repo/branches"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/branches"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#list-check-run-annotations
+     */
+    "GET /repos/:owner/:repo/check-runs/:check_run_id/annotations": {
+        parameters: Endpoints["GET /repos/:owner/:repo/check-runs/:check_run_id/annotations"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/check-runs/:check_run_id/annotations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#list-check-runs-in-a-check-suite
+     */
+    "GET /repos/:owner/:repo/check-suites/:check_suite_id/check-runs": {
+        parameters: Endpoints["GET /repos/:owner/:repo/check-suites/:check_suite_id/check-runs"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/check-suites/:check_suite_id/check-runs"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/check-suites/:check_suite_id/check-runs"]["response"]["data"]["check_runs"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/code-scanning/#list-code-scanning-alerts-for-a-repository
+     */
+    "GET /repos/:owner/:repo/code-scanning/alerts": {
+        parameters: Endpoints["GET /repos/:owner/:repo/code-scanning/alerts"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/code-scanning/alerts"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/collaborators/#list-repository-collaborators
+     */
+    "GET /repos/:owner/:repo/collaborators": {
+        parameters: Endpoints["GET /repos/:owner/:repo/collaborators"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/collaborators"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/comments/#list-commit-comments-for-a-repository
+     */
+    "GET /repos/:owner/:repo/comments": {
+        parameters: Endpoints["GET /repos/:owner/:repo/comments"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-commit-comment
+     */
+    "GET /repos/:owner/:repo/comments/:comment_id/reactions": {
+        parameters: Endpoints["GET /repos/:owner/:repo/comments/:comment_id/reactions"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/comments/:comment_id/reactions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/commits/#list-commits
+     */
+    "GET /repos/:owner/:repo/commits": {
+        parameters: Endpoints["GET /repos/:owner/:repo/commits"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/commits"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/commits/#list-branches-for-head-commit
+     */
+    "GET /repos/:owner/:repo/commits/:commit_sha/branches-where-head": {
+        parameters: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/branches-where-head"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/branches-where-head"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/comments/#list-commit-comments
+     */
+    "GET /repos/:owner/:repo/commits/:commit_sha/comments": {
+        parameters: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/comments"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/commits/#list-pull-requests-associated-with-a-commit
+     */
+    "GET /repos/:owner/:repo/commits/:commit_sha/pulls": {
+        parameters: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/pulls"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/pulls"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#list-check-runs-for-a-git-reference
+     */
+    "GET /repos/:owner/:repo/commits/:ref/check-runs": {
+        parameters: Endpoints["GET /repos/:owner/:repo/commits/:ref/check-runs"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/commits/:ref/check-runs"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/commits/:ref/check-runs"]["response"]["data"]["check_runs"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/suites/#list-check-suites-for-a-git-reference
+     */
+    "GET /repos/:owner/:repo/commits/:ref/check-suites": {
+        parameters: Endpoints["GET /repos/:owner/:repo/commits/:ref/check-suites"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/commits/:ref/check-suites"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/commits/:ref/check-suites"]["response"]["data"]["check_suites"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statuses/#list-commit-statuses-for-a-reference
+     */
+    "GET /repos/:owner/:repo/commits/:ref/statuses": {
+        parameters: Endpoints["GET /repos/:owner/:repo/commits/:ref/statuses"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/commits/:ref/statuses"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repository-contributors
+     */
+    "GET /repos/:owner/:repo/contributors": {
+        parameters: Endpoints["GET /repos/:owner/:repo/contributors"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/contributors"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#list-deployments
+     */
+    "GET /repos/:owner/:repo/deployments": {
+        parameters: Endpoints["GET /repos/:owner/:repo/deployments"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/deployments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#list-deployment-statuses
+     */
+    "GET /repos/:owner/:repo/deployments/:deployment_id/statuses": {
+        parameters: Endpoints["GET /repos/:owner/:repo/deployments/:deployment_id/statuses"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/deployments/:deployment_id/statuses"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/forks/#list-forks
+     */
+    "GET /repos/:owner/:repo/forks": {
+        parameters: Endpoints["GET /repos/:owner/:repo/forks"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/forks"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/git/refs/#list-matching-references
+     */
+    "GET /repos/:owner/:repo/git/matching-refs/:ref": {
+        parameters: Endpoints["GET /repos/:owner/:repo/git/matching-refs/:ref"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/git/matching-refs/:ref"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/hooks/#list-repository-webhooks
+     */
+    "GET /repos/:owner/:repo/hooks": {
+        parameters: Endpoints["GET /repos/:owner/:repo/hooks"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/hooks"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/invitations/#list-repository-invitations
+     */
+    "GET /repos/:owner/:repo/invitations": {
+        parameters: Endpoints["GET /repos/:owner/:repo/invitations"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/invitations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#list-repository-issues
+     */
+    "GET /repos/:owner/:repo/issues": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/comments/#list-issue-comments
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/comments": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/comments"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/events/#list-issue-events
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/events": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/events"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/events"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#list-labels-for-an-issue
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/labels": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/labels"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/labels"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-an-issue
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/reactions": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/reactions"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/reactions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/timeline/#list-timeline-events-for-an-issue
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/timeline": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/timeline"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/timeline"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/comments/#list-issue-comments-for-a-repository
+     */
+    "GET /repos/:owner/:repo/issues/comments": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues/comments"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-an-issue-comment
+     */
+    "GET /repos/:owner/:repo/issues/comments/:comment_id/reactions": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues/comments/:comment_id/reactions"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues/comments/:comment_id/reactions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/events/#list-issue-events-for-a-repository
+     */
+    "GET /repos/:owner/:repo/issues/events": {
+        parameters: Endpoints["GET /repos/:owner/:repo/issues/events"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/issues/events"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/keys/#list-deploy-keys
+     */
+    "GET /repos/:owner/:repo/keys": {
+        parameters: Endpoints["GET /repos/:owner/:repo/keys"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/keys"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#list-labels-for-a-repository
+     */
+    "GET /repos/:owner/:repo/labels": {
+        parameters: Endpoints["GET /repos/:owner/:repo/labels"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/labels"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repository-languages
+     */
+    "GET /repos/:owner/:repo/languages": {
+        parameters: Endpoints["GET /repos/:owner/:repo/languages"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/languages"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/milestones/#list-milestones
+     */
+    "GET /repos/:owner/:repo/milestones": {
+        parameters: Endpoints["GET /repos/:owner/:repo/milestones"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/milestones"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#list-labels-for-issues-in-a-milestone
+     */
+    "GET /repos/:owner/:repo/milestones/:milestone_number/labels": {
+        parameters: Endpoints["GET /repos/:owner/:repo/milestones/:milestone_number/labels"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/milestones/:milestone_number/labels"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#list-repository-notifications-for-the-authenticated-user
+     */
+    "GET /repos/:owner/:repo/notifications": {
+        parameters: Endpoints["GET /repos/:owner/:repo/notifications"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/notifications"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#list-github-pages-builds
+     */
+    "GET /repos/:owner/:repo/pages/builds": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pages/builds"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pages/builds"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#list-repository-projects
+     */
+    "GET /repos/:owner/:repo/projects": {
+        parameters: Endpoints["GET /repos/:owner/:repo/projects"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/projects"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#list-pull-requests
+     */
+    "GET /repos/:owner/:repo/pulls": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#list-review-comments-on-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/comments": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/comments"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#list-commits-on-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/commits": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/commits"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/commits"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#list-pull-requests-files
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/files": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/files"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/files"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/review_requests/#list-requested-reviewers-for-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/requested_reviewers": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["response"] & {
+            data: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["response"]["data"]["users"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#list-reviews-for-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/reviews": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#list-comments-for-a-pull-request-review
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#list-review-comments-in-a-repository
+     */
+    "GET /repos/:owner/:repo/pulls/comments": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls/comments"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-pull-request-review-comment
+     */
+    "GET /repos/:owner/:repo/pulls/comments/:comment_id/reactions": {
+        parameters: Endpoints["GET /repos/:owner/:repo/pulls/comments/:comment_id/reactions"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/pulls/comments/:comment_id/reactions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#list-releases
+     */
+    "GET /repos/:owner/:repo/releases": {
+        parameters: Endpoints["GET /repos/:owner/:repo/releases"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/releases"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#list-release-assets
+     */
+    "GET /repos/:owner/:repo/releases/:release_id/assets": {
+        parameters: Endpoints["GET /repos/:owner/:repo/releases/:release_id/assets"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/releases/:release_id/assets"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#list-stargazers
+     */
+    "GET /repos/:owner/:repo/stargazers": {
+        parameters: Endpoints["GET /repos/:owner/:repo/stargazers"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/stargazers"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#list-watchers
+     */
+    "GET /repos/:owner/:repo/subscribers": {
+        parameters: Endpoints["GET /repos/:owner/:repo/subscribers"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/subscribers"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repository-tags
+     */
+    "GET /repos/:owner/:repo/tags": {
+        parameters: Endpoints["GET /repos/:owner/:repo/tags"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/tags"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repository-teams
+     */
+    "GET /repos/:owner/:repo/teams": {
+        parameters: Endpoints["GET /repos/:owner/:repo/teams"]["parameters"];
+        response: Endpoints["GET /repos/:owner/:repo/teams"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-public-repositories
+     */
+    "GET /repositories": {
+        parameters: Endpoints["GET /repositories"]["parameters"];
+        response: Endpoints["GET /repositories"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#list-provisioned-scim groups-for-an-enterprise
+     */
+    "GET /scim/v2/enterprises/:enterprise/Groups": {
+        parameters: Endpoints["GET /scim/v2/enterprises/:enterprise/Groups"]["parameters"];
+        response: Endpoints["GET /scim/v2/enterprises/:enterprise/Groups"]["response"] & {
+            data: Endpoints["GET /scim/v2/enterprises/:enterprise/Groups"]["response"]["data"]["schemas"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#list-scim-provisioned-identities-for-an-enterprise
+     */
+    "GET /scim/v2/enterprises/:enterprise/Users": {
+        parameters: Endpoints["GET /scim/v2/enterprises/:enterprise/Users"]["parameters"];
+        response: Endpoints["GET /scim/v2/enterprises/:enterprise/Users"]["response"] & {
+            data: Endpoints["GET /scim/v2/enterprises/:enterprise/Users"]["response"]["data"]["schemas"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/scim/#list-scim-provisioned-identities
+     */
+    "GET /scim/v2/organizations/:org/Users": {
+        parameters: Endpoints["GET /scim/v2/organizations/:org/Users"]["parameters"];
+        response: Endpoints["GET /scim/v2/organizations/:org/Users"]["response"] & {
+            data: Endpoints["GET /scim/v2/organizations/:org/Users"]["response"]["data"]["schemas"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-code
+     */
+    "GET /search/code": {
+        parameters: Endpoints["GET /search/code"]["parameters"];
+        response: Endpoints["GET /search/code"]["response"] & {
+            data: Endpoints["GET /search/code"]["response"]["data"]["items"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-commits
+     */
+    "GET /search/commits": {
+        parameters: Endpoints["GET /search/commits"]["parameters"];
+        response: Endpoints["GET /search/commits"]["response"] & {
+            data: Endpoints["GET /search/commits"]["response"]["data"]["items"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-issues-and-pull-requests
+     */
+    "GET /search/issues": {
+        parameters: Endpoints["GET /search/issues"]["parameters"];
+        response: Endpoints["GET /search/issues"]["response"] & {
+            data: Endpoints["GET /search/issues"]["response"]["data"]["items"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-labels
+     */
+    "GET /search/labels": {
+        parameters: Endpoints["GET /search/labels"]["parameters"];
+        response: Endpoints["GET /search/labels"]["response"] & {
+            data: Endpoints["GET /search/labels"]["response"]["data"]["items"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-repositories
+     */
+    "GET /search/repositories": {
+        parameters: Endpoints["GET /search/repositories"]["parameters"];
+        response: Endpoints["GET /search/repositories"]["response"] & {
+            data: Endpoints["GET /search/repositories"]["response"]["data"]["items"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-topics
+     */
+    "GET /search/topics": {
+        parameters: Endpoints["GET /search/topics"]["parameters"];
+        response: Endpoints["GET /search/topics"]["response"] & {
+            data: Endpoints["GET /search/topics"]["response"]["data"]["items"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-users
+     */
+    "GET /search/users": {
+        parameters: Endpoints["GET /search/users"]["parameters"];
+        response: Endpoints["GET /search/users"]["response"] & {
+            data: Endpoints["GET /search/users"]["response"]["data"]["items"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy
+     */
+    "GET /teams/:team_id/discussions": {
+        parameters: Endpoints["GET /teams/:team_id/discussions"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/discussions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#list-discussion-comments-legacy
+     */
+    "GET /teams/:team_id/discussions/:discussion_number/comments": {
+        parameters: Endpoints["GET /teams/:team_id/discussions/:discussion_number/comments"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/discussions/:discussion_number/comments"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy
+     */
+    "GET /teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions": {
+        parameters: Endpoints["GET /teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy
+     */
+    "GET /teams/:team_id/discussions/:discussion_number/reactions": {
+        parameters: Endpoints["GET /teams/:team_id/discussions/:discussion_number/reactions"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/discussions/:discussion_number/reactions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy
+     */
+    "GET /teams/:team_id/invitations": {
+        parameters: Endpoints["GET /teams/:team_id/invitations"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/invitations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#list-team-members-legacy
+     */
+    "GET /teams/:team_id/members": {
+        parameters: Endpoints["GET /teams/:team_id/members"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/members"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-team-projects-legacy
+     */
+    "GET /teams/:team_id/projects": {
+        parameters: Endpoints["GET /teams/:team_id/projects"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/projects"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-team-repositories-legacy
+     */
+    "GET /teams/:team_id/repos": {
+        parameters: Endpoints["GET /teams/:team_id/repos"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/repos"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/team_sync/#list-idp-groups-for-a-team-legacy
+     */
+    "GET /teams/:team_id/team-sync/group-mappings": {
+        parameters: Endpoints["GET /teams/:team_id/team-sync/group-mappings"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/team-sync/group-mappings"]["response"] & {
+            data: Endpoints["GET /teams/:team_id/team-sync/group-mappings"]["response"]["data"]["groups"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-child-teams-legacy
+     */
+    "GET /teams/:team_id/teams": {
+        parameters: Endpoints["GET /teams/:team_id/teams"]["parameters"];
+        response: Endpoints["GET /teams/:team_id/teams"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/blocking/#list-users-blocked-by-the-authenticated-user
+     */
+    "GET /user/blocks": {
+        parameters: Endpoints["GET /user/blocks"]["parameters"];
+        response: Endpoints["GET /user/blocks"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/emails/#list-email-addresses-for-the-authenticated-user
+     */
+    "GET /user/emails": {
+        parameters: Endpoints["GET /user/emails"]["parameters"];
+        response: Endpoints["GET /user/emails"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#list-followers-of-the-authenticated-user
+     */
+    "GET /user/followers": {
+        parameters: Endpoints["GET /user/followers"]["parameters"];
+        response: Endpoints["GET /user/followers"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#list-the-people-the-authenticated-user-follows
+     */
+    "GET /user/following": {
+        parameters: Endpoints["GET /user/following"]["parameters"];
+        response: Endpoints["GET /user/following"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/gpg_keys/#list-gpg-keys-for-the-authenticated-user
+     */
+    "GET /user/gpg_keys": {
+        parameters: Endpoints["GET /user/gpg_keys"]["parameters"];
+        response: Endpoints["GET /user/gpg_keys"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#list-app-installations-accessible-to-the-user-access-token
+     */
+    "GET /user/installations": {
+        parameters: Endpoints["GET /user/installations"]["parameters"];
+        response: Endpoints["GET /user/installations"]["response"] & {
+            data: Endpoints["GET /user/installations"]["response"]["data"]["installations"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#list-repositories-accessible-to-the-user-access-token
+     */
+    "GET /user/installations/:installation_id/repositories": {
+        parameters: Endpoints["GET /user/installations/:installation_id/repositories"]["parameters"];
+        response: Endpoints["GET /user/installations/:installation_id/repositories"]["response"] & {
+            data: Endpoints["GET /user/installations/:installation_id/repositories"]["response"]["data"]["repositories"];
+        };
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#list-user-account-issues-assigned-to-the-authenticated-user
+     */
+    "GET /user/issues": {
+        parameters: Endpoints["GET /user/issues"]["parameters"];
+        response: Endpoints["GET /user/issues"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/keys/#list-public-ssh-keys-for-the-authenticated-user
+     */
+    "GET /user/keys": {
+        parameters: Endpoints["GET /user/keys"]["parameters"];
+        response: Endpoints["GET /user/keys"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-subscriptions-for-the-authenticated-user
+     */
+    "GET /user/marketplace_purchases": {
+        parameters: Endpoints["GET /user/marketplace_purchases"]["parameters"];
+        response: Endpoints["GET /user/marketplace_purchases"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-subscriptions-for-the-authenticated-user-stubbed
+     */
+    "GET /user/marketplace_purchases/stubbed": {
+        parameters: Endpoints["GET /user/marketplace_purchases/stubbed"]["parameters"];
+        response: Endpoints["GET /user/marketplace_purchases/stubbed"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-organization-memberships-for-the-authenticated-user
+     */
+    "GET /user/memberships/orgs": {
+        parameters: Endpoints["GET /user/memberships/orgs"]["parameters"];
+        response: Endpoints["GET /user/memberships/orgs"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#list-user-migrations
+     */
+    "GET /user/migrations": {
+        parameters: Endpoints["GET /user/migrations"]["parameters"];
+        response: Endpoints["GET /user/migrations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#list-repositories-for-a-user-migration
+     */
+    "GET /user/migrations/:migration_id/repositories": {
+        parameters: Endpoints["GET /user/migrations/:migration_id/repositories"]["parameters"];
+        response: Endpoints["GET /user/migrations/:migration_id/repositories"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-organizations-for-the-authenticated-user
+     */
+    "GET /user/orgs": {
+        parameters: Endpoints["GET /user/orgs"]["parameters"];
+        response: Endpoints["GET /user/orgs"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/emails/#list-public-email-addresses-for-the-authenticated-user
+     */
+    "GET /user/public_emails": {
+        parameters: Endpoints["GET /user/public_emails"]["parameters"];
+        response: Endpoints["GET /user/public_emails"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/invitations/#list-repository-invitations-for-the-authenticated-user
+     */
+    "GET /user/repository_invitations": {
+        parameters: Endpoints["GET /user/repository_invitations"]["parameters"];
+        response: Endpoints["GET /user/repository_invitations"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#list-repositories-starred-by-the-authenticated-user
+     */
+    "GET /user/starred": {
+        parameters: Endpoints["GET /user/starred"]["parameters"];
+        response: Endpoints["GET /user/starred"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#list-repositories-watched-by-the-authenticated-user
+     */
+    "GET /user/subscriptions": {
+        parameters: Endpoints["GET /user/subscriptions"]["parameters"];
+        response: Endpoints["GET /user/subscriptions"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-teams-for-the-authenticated-user
+     */
+    "GET /user/teams": {
+        parameters: Endpoints["GET /user/teams"]["parameters"];
+        response: Endpoints["GET /user/teams"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/#list-users
+     */
+    "GET /users": {
+        parameters: Endpoints["GET /users"]["parameters"];
+        response: Endpoints["GET /users"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#list-followers-of-a-user
+     */
+    "GET /users/:username/followers": {
+        parameters: Endpoints["GET /users/:username/followers"]["parameters"];
+        response: Endpoints["GET /users/:username/followers"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#list-the-people-a-user-follows
+     */
+    "GET /users/:username/following": {
+        parameters: Endpoints["GET /users/:username/following"]["parameters"];
+        response: Endpoints["GET /users/:username/following"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-gists-for-a-user
+     */
+    "GET /users/:username/gists": {
+        parameters: Endpoints["GET /users/:username/gists"]["parameters"];
+        response: Endpoints["GET /users/:username/gists"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/gpg_keys/#list-gpg-keys-for-a-user
+     */
+    "GET /users/:username/gpg_keys": {
+        parameters: Endpoints["GET /users/:username/gpg_keys"]["parameters"];
+        response: Endpoints["GET /users/:username/gpg_keys"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/users/keys/#list-public-keys-for-a-user
+     */
+    "GET /users/:username/keys": {
+        parameters: Endpoints["GET /users/:username/keys"]["parameters"];
+        response: Endpoints["GET /users/:username/keys"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-organizations-for-a-user
+     */
+    "GET /users/:username/orgs": {
+        parameters: Endpoints["GET /users/:username/orgs"]["parameters"];
+        response: Endpoints["GET /users/:username/orgs"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#list-user-projects
+     */
+    "GET /users/:username/projects": {
+        parameters: Endpoints["GET /users/:username/projects"]["parameters"];
+        response: Endpoints["GET /users/:username/projects"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#list-repositories-starred-by-a-user
+     */
+    "GET /users/:username/starred": {
+        parameters: Endpoints["GET /users/:username/starred"]["parameters"];
+        response: Endpoints["GET /users/:username/starred"]["response"];
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#list-repositories-watched-by-a-user
+     */
+    "GET /users/:username/subscriptions": {
+        parameters: Endpoints["GET /users/:username/subscriptions"]["parameters"];
+        response: Endpoints["GET /users/:username/subscriptions"]["response"];
+    };
+}
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-types/iterator.d.ts b/node_modules/@octokit/plugin-paginate-rest/dist-types/iterator.d.ts
index eadc968b7..4df3cce7e 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-types/iterator.d.ts
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-types/iterator.d.ts
@@ -1,6 +1,6 @@
 import { Octokit } from "@octokit/core";
-import { OctokitResponse, RequestParameters, Route } from "./types";
-export declare function iterator(octokit: Octokit, route: Route, parameters?: RequestParameters): {
+import { RequestInterface, OctokitResponse, RequestParameters, Route } from "./types";
+export declare function iterator(octokit: Octokit, route: Route | RequestInterface, parameters?: RequestParameters): {
     [Symbol.asyncIterator]: () => {
         next(): Promise<{
             done: boolean;
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-types/normalize-paginated-list-response.d.ts b/node_modules/@octokit/plugin-paginate-rest/dist-types/normalize-paginated-list-response.d.ts
index cbae65e73..f948a78f4 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-types/normalize-paginated-list-response.d.ts
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-types/normalize-paginated-list-response.d.ts
@@ -3,21 +3,16 @@
  *
  * They have a `total_count` key in the response (search also has `incomplete_results`,
  * /installation/repositories also has `repository_selection`), as well as a key with
- * the list of the items which name varies from endpoint to endpoint:
- *
- * - https://developer.github.com/v3/search/#example (key `items`)
- * - https://developer.github.com/v3/checks/runs/#response-3 (key: `check_runs`)
- * - https://developer.github.com/v3/checks/suites/#response-1 (key: `check_suites`)
- * - https://developer.github.com/v3/apps/installations/#list-repositories (key: `repositories`)
- * - https://developer.github.com/v3/apps/installations/#list-installations-for-a-user (key `installations`)
+ * the list of the items which name varies from endpoint to endpoint.
  *
  * Octokit normalizes these responses so that paginated results are always returned following
  * the same structure. One challenge is that if the list response has only one page, no Link
  * header is provided, so this header alone is not sufficient to check wether a response is
- * paginated or not. For the exceptions with the namespace, a fallback check for the route
- * paths has to be added in order to normalize the response. We cannot check for the total_count
- * property because it also exists in the response of Get the combined status for a specific ref.
+ * paginated or not.
+ *
+ * We check if a "total_count" key is present in the response data, but also make sure that
+ * a "url" property is not, as the "Get the combined status for a specific ref" endpoint would
+ * otherwise match: https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref
  */
-import { Octokit } from "@octokit/core";
 import { OctokitResponse } from "./types";
-export declare function normalizePaginatedListResponse(octokit: Octokit, url: string, response: OctokitResponse<any>): void;
+export declare function normalizePaginatedListResponse(response: OctokitResponse<any>): OctokitResponse<any>;
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-types/paginate.d.ts b/node_modules/@octokit/plugin-paginate-rest/dist-types/paginate.d.ts
index 2c7e8b244..774c60414 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-types/paginate.d.ts
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-types/paginate.d.ts
@@ -1,3 +1,3 @@
 import { Octokit } from "@octokit/core";
-import { MapFunction, PaginationResults, RequestParameters, Route } from "./types";
-export declare function paginate(octokit: Octokit, route: Route, parameters?: RequestParameters, mapFn?: MapFunction): Promise<PaginationResults<any>>;
+import { MapFunction, PaginationResults, RequestParameters, Route, RequestInterface } from "./types";
+export declare function paginate(octokit: Octokit, route: Route | RequestInterface, parameters?: RequestParameters, mapFn?: MapFunction): Promise<PaginationResults<unknown>>;
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-types/types.d.ts b/node_modules/@octokit/plugin-paginate-rest/dist-types/types.d.ts
index cfd8acea2..d4a239ec6 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-types/types.d.ts
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-types/types.d.ts
@@ -1,69 +1,123 @@
 import * as OctokitTypes from "@octokit/types";
-export { EndpointOptions } from "@octokit/types";
-export { OctokitResponse } from "@octokit/types";
-export { RequestParameters } from "@octokit/types";
-export { Route } from "@octokit/types";
+export { EndpointOptions, RequestInterface, OctokitResponse, RequestParameters, Route, } from "@octokit/types";
+import { PaginatingEndpoints } from "./generated/paginating-endpoints";
+declare type KnownKeys<T> = Extract<{
+    [K in keyof T]: string extends K ? never : number extends K ? never : K;
+} extends {
+    [_ in keyof T]: infer U;
+} ? U : never, keyof T>;
+declare type KeysMatching<T, V> = {
+    [K in keyof T]: T[K] extends V ? K : never;
+}[keyof T];
+declare type KnownKeysMatching<T, V> = KeysMatching<Pick<T, KnownKeys<T>>, V>;
+declare type GetResultsType<T> = T extends {
+    data: any[];
+} ? T["data"] : T extends {
+    data: object;
+} ? T["data"][KnownKeysMatching<T["data"], any[]>] : never;
+declare type NormalizeResponse<T> = T & {
+    data: GetResultsType<T>;
+};
+export interface MapFunction<T = unknown, R = unknown> {
+    (response: OctokitTypes.OctokitResponse<PaginationResults<T>>, done: () => void): R[];
+}
+export declare type PaginationResults<T = unknown> = T[];
 export interface PaginateInterface {
     /**
-     * Sends a request based on endpoint options
+     * Paginate a request using endpoint options and map each response to a custom array
      *
      * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
      * @param {function} mapFn Optional method to map each response to a custom array
      */
     <T, R>(options: OctokitTypes.EndpointOptions, mapFn: MapFunction<T, R>): Promise<PaginationResults<R>>;
     /**
-     * Sends a request based on endpoint options
+     * Paginate a request using endpoint options
      *
      * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
      */
     <T>(options: OctokitTypes.EndpointOptions): Promise<PaginationResults<T>>;
     /**
-     * Sends a request based on endpoint options
+     * Paginate a request using a known endpoint route string and map each response to a custom array
      *
      * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
      * @param {function} mapFn Optional method to map each response to a custom array
      */
-    <T, R>(route: OctokitTypes.Route, mapFn: MapFunction<T>): Promise<PaginationResults<R>>;
+    <R extends keyof PaginatingEndpoints, MR extends unknown[]>(route: R, mapFn: (response: PaginatingEndpoints[R]["response"], done: () => void) => MR): Promise<MR>;
     /**
-     * Sends a request based on endpoint options
+     * Paginate a request using a known endpoint route string and parameters, and map each response to a custom array
      *
      * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
      * @param {object} parameters URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
      * @param {function} mapFn Optional method to map each response to a custom array
      */
-    <T, R>(route: OctokitTypes.Route, parameters: OctokitTypes.RequestParameters, mapFn: MapFunction<T>): Promise<PaginationResults<R>>;
+    <R extends keyof PaginatingEndpoints, MR extends unknown[]>(route: R, parameters: PaginatingEndpoints[R]["parameters"], mapFn: (response: PaginatingEndpoints[R]["response"], done: () => void) => MR): Promise<MR>;
     /**
-     * Sends a request based on endpoint options
+     * Paginate a request using an known endpoint route string
      *
      * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
-     * @param {object} parameters URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+     * @param {object} parameters? URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
      */
-    <T>(route: OctokitTypes.Route, parameters: OctokitTypes.RequestParameters): Promise<PaginationResults<T>>;
+    <R extends keyof PaginatingEndpoints>(route: R, parameters?: PaginatingEndpoints[R]["parameters"]): Promise<PaginatingEndpoints[R]["response"]["data"]>;
     /**
-     * Sends a request based on endpoint options
+     * Paginate a request using an unknown endpoint route string
      *
      * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
+     * @param {object} parameters? URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+     */
+    <T, R extends OctokitTypes.Route = OctokitTypes.Route>(route: R, parameters?: R extends keyof PaginatingEndpoints ? PaginatingEndpoints[R]["parameters"] : OctokitTypes.RequestParameters): Promise<T[]>;
+    /**
+     * Paginate a request using an endpoint method and a map function
+     *
+     * @param {string} request Request method (`octokit.request` or `@octokit/request`)
+     * @param {function} mapFn? Optional method to map each response to a custom array
+     */
+    <R extends OctokitTypes.RequestInterface, MR extends unknown[]>(request: R, mapFn: (response: NormalizeResponse<OctokitTypes.GetResponseTypeFromEndpointMethod<R>>, done: () => void) => MR): Promise<MR>;
+    /**
+     * Paginate a request using an endpoint method, parameters, and a map function
+     *
+     * @param {string} request Request method (`octokit.request` or `@octokit/request`)
+     * @param {object} parameters URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+     * @param {function} mapFn? Optional method to map each response to a custom array
+     */
+    <R extends OctokitTypes.RequestInterface, MR extends unknown[]>(request: R, parameters: Parameters<R>[0], mapFn: (response: NormalizeResponse<OctokitTypes.GetResponseTypeFromEndpointMethod<R>>, done?: () => void) => MR): Promise<MR>;
+    /**
+     * Paginate a request using an endpoint method and parameters
+     *
+     * @param {string} request Request method (`octokit.request` or `@octokit/request`)
+     * @param {object} parameters? URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
      */
-    <T>(route: OctokitTypes.Route): Promise<PaginationResults<T>>;
+    <R extends OctokitTypes.RequestInterface>(request: R, parameters?: Parameters<R>[0]): Promise<NormalizeResponse<OctokitTypes.GetResponseTypeFromEndpointMethod<R>>["data"]>;
     iterator: {
         /**
-         * Get an asynchronous iterator for use with `for await()`,
+         * Get an async iterator to paginate a request using endpoint options
          *
          * @see {link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of} for await...of
          * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
          */
         <T>(EndpointOptions: OctokitTypes.EndpointOptions): AsyncIterableIterator<OctokitTypes.OctokitResponse<PaginationResults<T>>>;
         /**
-         * Get an asynchronous iterator for use with `for await()`,
+         * Get an async iterator to paginate a request using a known endpoint route string and optional parameters
          *
          * @see {link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of} for await...of
          * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
          * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
          */
-        <T>(route: OctokitTypes.Route, parameters?: OctokitTypes.RequestParameters): AsyncIterableIterator<OctokitTypes.OctokitResponse<PaginationResults<T>>>;
+        <R extends keyof PaginatingEndpoints>(route: R, parameters?: PaginatingEndpoints[R]["parameters"]): AsyncIterableIterator<OctokitTypes.OctokitResponse<PaginatingEndpoints[R]["response"]["data"]>>;
+        /**
+         * Get an async iterator to paginate a request using an unknown endpoint route string and optional parameters
+         *
+         * @see {link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of} for await...of
+         * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
+         * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+         */
+        <T, R extends OctokitTypes.Route = OctokitTypes.Route>(route: R, parameters?: R extends keyof PaginatingEndpoints ? PaginatingEndpoints[R]["parameters"] : OctokitTypes.RequestParameters): AsyncIterableIterator<OctokitTypes.OctokitResponse<PaginationResults<T>>>;
+        /**
+         * Get an async iterator to paginate a request using a request method and optional parameters
+         *
+         * @see {link https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Statements/for-await...of} for await...of
+         * @param {string} request `@octokit/request` or `octokit.request` method
+         * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+         */
+        <R extends OctokitTypes.RequestInterface>(request: R, parameters?: Parameters<R>[0]): AsyncIterableIterator<NormalizeResponse<OctokitTypes.GetResponseTypeFromEndpointMethod<R>>>;
     };
 }
-export interface MapFunction<T = any, R = any> {
-    (response: OctokitTypes.OctokitResponse<PaginationResults<T>>, done: () => void): R[];
-}
-export declare type PaginationResults<T = any> = T[];
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-types/version.d.ts b/node_modules/@octokit/plugin-paginate-rest/dist-types/version.d.ts
index 3b6537ac3..4945a3177 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-types/version.d.ts
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-types/version.d.ts
@@ -1 +1 @@
-export declare const VERSION = "1.1.2";
+export declare const VERSION = "2.3.0";
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-web/index.js b/node_modules/@octokit/plugin-paginate-rest/dist-web/index.js
index aee57f1ff..8630a9850 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-web/index.js
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-web/index.js
@@ -1,39 +1,25 @@
-const VERSION = "1.1.2";
+const VERSION = "2.3.0";
 
 /**
  * Some “list” response that can be paginated have a different response structure
  *
  * They have a `total_count` key in the response (search also has `incomplete_results`,
  * /installation/repositories also has `repository_selection`), as well as a key with
- * the list of the items which name varies from endpoint to endpoint:
- *
- * - https://developer.github.com/v3/search/#example (key `items`)
- * - https://developer.github.com/v3/checks/runs/#response-3 (key: `check_runs`)
- * - https://developer.github.com/v3/checks/suites/#response-1 (key: `check_suites`)
- * - https://developer.github.com/v3/apps/installations/#list-repositories (key: `repositories`)
- * - https://developer.github.com/v3/apps/installations/#list-installations-for-a-user (key `installations`)
+ * the list of the items which name varies from endpoint to endpoint.
  *
  * Octokit normalizes these responses so that paginated results are always returned following
  * the same structure. One challenge is that if the list response has only one page, no Link
  * header is provided, so this header alone is not sufficient to check wether a response is
- * paginated or not. For the exceptions with the namespace, a fallback check for the route
- * paths has to be added in order to normalize the response. We cannot check for the total_count
- * property because it also exists in the response of Get the combined status for a specific ref.
+ * paginated or not.
+ *
+ * We check if a "total_count" key is present in the response data, but also make sure that
+ * a "url" property is not, as the "Get the combined status for a specific ref" endpoint would
+ * otherwise match: https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref
  */
-const REGEX = [
-    /^\/search\//,
-    /^\/repos\/[^/]+\/[^/]+\/commits\/[^/]+\/(check-runs|check-suites)([^/]|$)/,
-    /^\/installation\/repositories([^/]|$)/,
-    /^\/user\/installations([^/]|$)/,
-    /^\/repos\/[^/]+\/[^/]+\/actions\/secrets([^/]|$)/,
-    /^\/repos\/[^/]+\/[^/]+\/actions\/workflows(\/[^/]+\/runs)?([^/]|$)/,
-    /^\/repos\/[^/]+\/[^/]+\/actions\/runs(\/[^/]+\/(artifacts|jobs))?([^/]|$)/
-];
-function normalizePaginatedListResponse(octokit, url, response) {
-    const path = url.replace(octokit.request.endpoint.DEFAULTS.baseUrl, "");
-    const responseNeedsNormalization = REGEX.find(regex => regex.test(path));
+function normalizePaginatedListResponse(response) {
+    const responseNeedsNormalization = "total_count" in response.data && !("url" in response.data);
     if (!responseNeedsNormalization)
-        return;
+        return response;
     // keep the additional properties intact as there is currently no other way
     // to retrieve the same information.
     const incompleteResults = response.data.incomplete_results;
@@ -52,16 +38,14 @@ function normalizePaginatedListResponse(octokit, url, response) {
         response.data.repository_selection = repositorySelection;
     }
     response.data.total_count = totalCount;
-    Object.defineProperty(response.data, namespaceKey, {
-        get() {
-            octokit.log.warn(`[@octokit/paginate-rest] "response.data.${namespaceKey}" is deprecated for "GET ${path}". Get the results directly from "response.data"`);
-            return Array.from(data);
-        }
-    });
+    return response;
 }
 
 function iterator(octokit, route, parameters) {
-    const options = octokit.request.endpoint(route, parameters);
+    const options = typeof route === "function"
+        ? route.endpoint(parameters)
+        : octokit.request.endpoint(route, parameters);
+    const requestMethod = typeof route === "function" ? route : octokit.request;
     const method = options.method;
     const headers = options.headers;
     let url = options.url;
@@ -71,18 +55,17 @@ function iterator(octokit, route, parameters) {
                 if (!url) {
                     return Promise.resolve({ done: true });
                 }
-                return octokit
-                    .request({ method, url, headers })
+                return requestMethod({ method, url, headers })
+                    .then(normalizePaginatedListResponse)
                     .then((response) => {
-                    normalizePaginatedListResponse(octokit, url, response);
                     // `response.headers.link` format:
                     // '<https://api.github.com/users/aseemk/followers?page=2>; rel="next", <https://api.github.com/users/aseemk/followers?page=2>; rel="last"'
                     // sets `url` to undefined if "next" URL is not present or `link` header is not set
                     url = ((response.headers.link || "").match(/<([^>]+)>;\s*rel="next"/) || [])[1];
                     return { value: response };
                 });
-            }
-        })
+            },
+        }),
     };
 }
 
@@ -94,7 +77,7 @@ function paginate(octokit, route, parameters, mapFn) {
     return gather(octokit, [], iterator(octokit, route, parameters)[Symbol.asyncIterator](), mapFn);
 }
 function gather(octokit, results, iterator, mapFn) {
-    return iterator.next().then(result => {
+    return iterator.next().then((result) => {
         if (result.done) {
             return results;
         }
@@ -117,8 +100,8 @@ function gather(octokit, results, iterator, mapFn) {
 function paginateRest(octokit) {
     return {
         paginate: Object.assign(paginate.bind(null, octokit), {
-            iterator: iterator.bind(null, octokit)
-        })
+            iterator: iterator.bind(null, octokit),
+        }),
     };
 }
 paginateRest.VERSION = VERSION;
diff --git a/node_modules/@octokit/plugin-paginate-rest/dist-web/index.js.map b/node_modules/@octokit/plugin-paginate-rest/dist-web/index.js.map
index a700b0398..44dd0f9b2 100644
--- a/node_modules/@octokit/plugin-paginate-rest/dist-web/index.js.map
+++ b/node_modules/@octokit/plugin-paginate-rest/dist-web/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/normalize-paginated-list-response.js","../dist-src/iterator.js","../dist-src/paginate.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"1.1.2\";\n","/**\n * Some “list” response that can be paginated have a different response structure\n *\n * They have a `total_count` key in the response (search also has `incomplete_results`,\n * /installation/repositories also has `repository_selection`), as well as a key with\n * the list of the items which name varies from endpoint to endpoint:\n *\n * - https://developer.github.com/v3/search/#example (key `items`)\n * - https://developer.github.com/v3/checks/runs/#response-3 (key: `check_runs`)\n * - https://developer.github.com/v3/checks/suites/#response-1 (key: `check_suites`)\n * - https://developer.github.com/v3/apps/installations/#list-repositories (key: `repositories`)\n * - https://developer.github.com/v3/apps/installations/#list-installations-for-a-user (key `installations`)\n *\n * Octokit normalizes these responses so that paginated results are always returned following\n * the same structure. One challenge is that if the list response has only one page, no Link\n * header is provided, so this header alone is not sufficient to check wether a response is\n * paginated or not. For the exceptions with the namespace, a fallback check for the route\n * paths has to be added in order to normalize the response. We cannot check for the total_count\n * property because it also exists in the response of Get the combined status for a specific ref.\n */\nconst REGEX = [\n    /^\\/search\\//,\n    /^\\/repos\\/[^/]+\\/[^/]+\\/commits\\/[^/]+\\/(check-runs|check-suites)([^/]|$)/,\n    /^\\/installation\\/repositories([^/]|$)/,\n    /^\\/user\\/installations([^/]|$)/,\n    /^\\/repos\\/[^/]+\\/[^/]+\\/actions\\/secrets([^/]|$)/,\n    /^\\/repos\\/[^/]+\\/[^/]+\\/actions\\/workflows(\\/[^/]+\\/runs)?([^/]|$)/,\n    /^\\/repos\\/[^/]+\\/[^/]+\\/actions\\/runs(\\/[^/]+\\/(artifacts|jobs))?([^/]|$)/\n];\nexport function normalizePaginatedListResponse(octokit, url, response) {\n    const path = url.replace(octokit.request.endpoint.DEFAULTS.baseUrl, \"\");\n    const responseNeedsNormalization = REGEX.find(regex => regex.test(path));\n    if (!responseNeedsNormalization)\n        return;\n    // keep the additional properties intact as there is currently no other way\n    // to retrieve the same information.\n    const incompleteResults = response.data.incomplete_results;\n    const repositorySelection = response.data.repository_selection;\n    const totalCount = response.data.total_count;\n    delete response.data.incomplete_results;\n    delete response.data.repository_selection;\n    delete response.data.total_count;\n    const namespaceKey = Object.keys(response.data)[0];\n    const data = response.data[namespaceKey];\n    response.data = data;\n    if (typeof incompleteResults !== \"undefined\") {\n        response.data.incomplete_results = incompleteResults;\n    }\n    if (typeof repositorySelection !== \"undefined\") {\n        response.data.repository_selection = repositorySelection;\n    }\n    response.data.total_count = totalCount;\n    Object.defineProperty(response.data, namespaceKey, {\n        get() {\n            octokit.log.warn(`[@octokit/paginate-rest] \"response.data.${namespaceKey}\" is deprecated for \"GET ${path}\". Get the results directly from \"response.data\"`);\n            return Array.from(data);\n        }\n    });\n}\n","import { normalizePaginatedListResponse } from \"./normalize-paginated-list-response\";\nexport function iterator(octokit, route, parameters) {\n    const options = octokit.request.endpoint(route, parameters);\n    const method = options.method;\n    const headers = options.headers;\n    let url = options.url;\n    return {\n        [Symbol.asyncIterator]: () => ({\n            next() {\n                if (!url) {\n                    return Promise.resolve({ done: true });\n                }\n                return octokit\n                    .request({ method, url, headers })\n                    .then((response) => {\n                    normalizePaginatedListResponse(octokit, url, response);\n                    // `response.headers.link` format:\n                    // '<https://api.github.com/users/aseemk/followers?page=2>; rel=\"next\", <https://api.github.com/users/aseemk/followers?page=2>; rel=\"last\"'\n                    // sets `url` to undefined if \"next\" URL is not present or `link` header is not set\n                    url = ((response.headers.link || \"\").match(/<([^>]+)>;\\s*rel=\"next\"/) || [])[1];\n                    return { value: response };\n                });\n            }\n        })\n    };\n}\n","import { iterator } from \"./iterator\";\nexport function paginate(octokit, route, parameters, mapFn) {\n    if (typeof parameters === \"function\") {\n        mapFn = parameters;\n        parameters = undefined;\n    }\n    return gather(octokit, [], iterator(octokit, route, parameters)[Symbol.asyncIterator](), mapFn);\n}\nfunction gather(octokit, results, iterator, mapFn) {\n    return iterator.next().then(result => {\n        if (result.done) {\n            return results;\n        }\n        let earlyExit = false;\n        function done() {\n            earlyExit = true;\n        }\n        results = results.concat(mapFn ? mapFn(result.value, done) : result.value.data);\n        if (earlyExit) {\n            return results;\n        }\n        return gather(octokit, results, iterator, mapFn);\n    });\n}\n","import { VERSION } from \"./version\";\nimport { paginate } from \"./paginate\";\nimport { iterator } from \"./iterator\";\n/**\n * @param octokit Octokit instance\n * @param options Options passed to Octokit constructor\n */\nexport function paginateRest(octokit) {\n    return {\n        paginate: Object.assign(paginate.bind(null, octokit), {\n            iterator: iterator.bind(null, octokit)\n        })\n    };\n}\npaginateRest.VERSION = VERSION;\n"],"names":[],"mappings":"AAAO,MAAM,OAAO,GAAG,mBAAmB,CAAC;;ACA3C;;;;;;;;;;;;;;;;;;;;AAoBA,MAAM,KAAK,GAAG;IACV,aAAa;IACb,2EAA2E;IAC3E,uCAAuC;IACvC,gCAAgC;IAChC,kDAAkD;IAClD,oEAAoE;IACpE,2EAA2E;CAC9E,CAAC;AACF,AAAO,SAAS,8BAA8B,CAAC,OAAO,EAAE,GAAG,EAAE,QAAQ,EAAE;IACnE,MAAM,IAAI,GAAG,GAAG,CAAC,OAAO,CAAC,OAAO,CAAC,OAAO,CAAC,QAAQ,CAAC,QAAQ,CAAC,OAAO,EAAE,EAAE,CAAC,CAAC;IACxE,MAAM,0BAA0B,GAAG,KAAK,CAAC,IAAI,CAAC,KAAK,IAAI,KAAK,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC,CAAC;IACzE,IAAI,CAAC,0BAA0B;QAC3B,OAAO;;;IAGX,MAAM,iBAAiB,GAAG,QAAQ,CAAC,IAAI,CAAC,kBAAkB,CAAC;IAC3D,MAAM,mBAAmB,GAAG,QAAQ,CAAC,IAAI,CAAC,oBAAoB,CAAC;IAC/D,MAAM,UAAU,GAAG,QAAQ,CAAC,IAAI,CAAC,WAAW,CAAC;IAC7C,OAAO,QAAQ,CAAC,IAAI,CAAC,kBAAkB,CAAC;IACxC,OAAO,QAAQ,CAAC,IAAI,CAAC,oBAAoB,CAAC;IAC1C,OAAO,QAAQ,CAAC,IAAI,CAAC,WAAW,CAAC;IACjC,MAAM,YAAY,GAAG,MAAM,CAAC,IAAI,CAAC,QAAQ,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC;IACnD,MAAM,IAAI,GAAG,QAAQ,CAAC,IAAI,CAAC,YAAY,CAAC,CAAC;IACzC,QAAQ,CAAC,IAAI,GAAG,IAAI,CAAC;IACrB,IAAI,OAAO,iBAAiB,KAAK,WAAW,EAAE;QAC1C,QAAQ,CAAC,IAAI,CAAC,kBAAkB,GAAG,iBAAiB,CAAC;KACxD;IACD,IAAI,OAAO,mBAAmB,KAAK,WAAW,EAAE;QAC5C,QAAQ,CAAC,IAAI,CAAC,oBAAoB,GAAG,mBAAmB,CAAC;KAC5D;IACD,QAAQ,CAAC,IAAI,CAAC,WAAW,GAAG,UAAU,CAAC;IACvC,MAAM,CAAC,cAAc,CAAC,QAAQ,CAAC,IAAI,EAAE,YAAY,EAAE;QAC/C,GAAG,GAAG;YACF,OAAO,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,wCAAwC,EAAE,YAAY,CAAC,yBAAyB,EAAE,IAAI,CAAC,gDAAgD,CAAC,CAAC,CAAC;YAC5J,OAAO,KAAK,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC;SAC3B;KACJ,CAAC,CAAC;CACN;;ACzDM,SAAS,QAAQ,CAAC,OAAO,EAAE,KAAK,EAAE,UAAU,EAAE;IACjD,MAAM,OAAO,GAAG,OAAO,CAAC,OAAO,CAAC,QAAQ,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC;IAC5D,MAAM,MAAM,GAAG,OAAO,CAAC,MAAM,CAAC;IAC9B,MAAM,OAAO,GAAG,OAAO,CAAC,OAAO,CAAC;IAChC,IAAI,GAAG,GAAG,OAAO,CAAC,GAAG,CAAC;IACtB,OAAO;QACH,CAAC,MAAM,CAAC,aAAa,GAAG,OAAO;YAC3B,IAAI,GAAG;gBACH,IAAI,CAAC,GAAG,EAAE;oBACN,OAAO,OAAO,CAAC,OAAO,CAAC,EAAE,IAAI,EAAE,IAAI,EAAE,CAAC,CAAC;iBAC1C;gBACD,OAAO,OAAO;qBACT,OAAO,CAAC,EAAE,MAAM,EAAE,GAAG,EAAE,OAAO,EAAE,CAAC;qBACjC,IAAI,CAAC,CAAC,QAAQ,KAAK;oBACpB,8BAA8B,CAAC,OAAO,EAAE,GAAG,EAAE,QAAQ,CAAC,CAAC;;;;oBAIvD,GAAG,GAAG,CAAC,CAAC,QAAQ,CAAC,OAAO,CAAC,IAAI,IAAI,EAAE,EAAE,KAAK,CAAC,yBAAyB,CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,CAAC;oBAChF,OAAO,EAAE,KAAK,EAAE,QAAQ,EAAE,CAAC;iBAC9B,CAAC,CAAC;aACN;SACJ,CAAC;KACL,CAAC;CACL;;ACxBM,SAAS,QAAQ,CAAC,OAAO,EAAE,KAAK,EAAE,UAAU,EAAE,KAAK,EAAE;IACxD,IAAI,OAAO,UAAU,KAAK,UAAU,EAAE;QAClC,KAAK,GAAG,UAAU,CAAC;QACnB,UAAU,GAAG,SAAS,CAAC;KAC1B;IACD,OAAO,MAAM,CAAC,OAAO,EAAE,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,KAAK,EAAE,UAAU,CAAC,CAAC,MAAM,CAAC,aAAa,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC;CACnG;AACD,SAAS,MAAM,CAAC,OAAO,EAAE,OAAO,EAAE,QAAQ,EAAE,KAAK,EAAE;IAC/C,OAAO,QAAQ,CAAC,IAAI,EAAE,CAAC,IAAI,CAAC,MAAM,IAAI;QAClC,IAAI,MAAM,CAAC,IAAI,EAAE;YACb,OAAO,OAAO,CAAC;SAClB;QACD,IAAI,SAAS,GAAG,KAAK,CAAC;QACtB,SAAS,IAAI,GAAG;YACZ,SAAS,GAAG,IAAI,CAAC;SACpB;QACD,OAAO,GAAG,OAAO,CAAC,MAAM,CAAC,KAAK,GAAG,KAAK,CAAC,MAAM,CAAC,KAAK,EAAE,IAAI,CAAC,GAAG,MAAM,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC;QAChF,IAAI,SAAS,EAAE;YACX,OAAO,OAAO,CAAC;SAClB;QACD,OAAO,MAAM,CAAC,OAAO,EAAE,OAAO,EAAE,QAAQ,EAAE,KAAK,CAAC,CAAC;KACpD,CAAC,CAAC;CACN;;ACpBD;;;;AAIA,AAAO,SAAS,YAAY,CAAC,OAAO,EAAE;IAClC,OAAO;QACH,QAAQ,EAAE,MAAM,CAAC,MAAM,CAAC,QAAQ,CAAC,IAAI,CAAC,IAAI,EAAE,OAAO,CAAC,EAAE;YAClD,QAAQ,EAAE,QAAQ,CAAC,IAAI,CAAC,IAAI,EAAE,OAAO,CAAC;SACzC,CAAC;KACL,CAAC;CACL;AACD,YAAY,CAAC,OAAO,GAAG,OAAO,CAAC;;;;"}
\ No newline at end of file
+{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/normalize-paginated-list-response.js","../dist-src/iterator.js","../dist-src/paginate.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"2.3.0\";\n","/**\n * Some “list” response that can be paginated have a different response structure\n *\n * They have a `total_count` key in the response (search also has `incomplete_results`,\n * /installation/repositories also has `repository_selection`), as well as a key with\n * the list of the items which name varies from endpoint to endpoint.\n *\n * Octokit normalizes these responses so that paginated results are always returned following\n * the same structure. One challenge is that if the list response has only one page, no Link\n * header is provided, so this header alone is not sufficient to check wether a response is\n * paginated or not.\n *\n * We check if a \"total_count\" key is present in the response data, but also make sure that\n * a \"url\" property is not, as the \"Get the combined status for a specific ref\" endpoint would\n * otherwise match: https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref\n */\nexport function normalizePaginatedListResponse(response) {\n    const responseNeedsNormalization = \"total_count\" in response.data && !(\"url\" in response.data);\n    if (!responseNeedsNormalization)\n        return response;\n    // keep the additional properties intact as there is currently no other way\n    // to retrieve the same information.\n    const incompleteResults = response.data.incomplete_results;\n    const repositorySelection = response.data.repository_selection;\n    const totalCount = response.data.total_count;\n    delete response.data.incomplete_results;\n    delete response.data.repository_selection;\n    delete response.data.total_count;\n    const namespaceKey = Object.keys(response.data)[0];\n    const data = response.data[namespaceKey];\n    response.data = data;\n    if (typeof incompleteResults !== \"undefined\") {\n        response.data.incomplete_results = incompleteResults;\n    }\n    if (typeof repositorySelection !== \"undefined\") {\n        response.data.repository_selection = repositorySelection;\n    }\n    response.data.total_count = totalCount;\n    return response;\n}\n","import { normalizePaginatedListResponse } from \"./normalize-paginated-list-response\";\nexport function iterator(octokit, route, parameters) {\n    const options = typeof route === \"function\"\n        ? route.endpoint(parameters)\n        : octokit.request.endpoint(route, parameters);\n    const requestMethod = typeof route === \"function\" ? route : octokit.request;\n    const method = options.method;\n    const headers = options.headers;\n    let url = options.url;\n    return {\n        [Symbol.asyncIterator]: () => ({\n            next() {\n                if (!url) {\n                    return Promise.resolve({ done: true });\n                }\n                return requestMethod({ method, url, headers })\n                    .then(normalizePaginatedListResponse)\n                    .then((response) => {\n                    // `response.headers.link` format:\n                    // '<https://api.github.com/users/aseemk/followers?page=2>; rel=\"next\", <https://api.github.com/users/aseemk/followers?page=2>; rel=\"last\"'\n                    // sets `url` to undefined if \"next\" URL is not present or `link` header is not set\n                    url = ((response.headers.link || \"\").match(/<([^>]+)>;\\s*rel=\"next\"/) || [])[1];\n                    return { value: response };\n                });\n            },\n        }),\n    };\n}\n","import { iterator } from \"./iterator\";\nexport function paginate(octokit, route, parameters, mapFn) {\n    if (typeof parameters === \"function\") {\n        mapFn = parameters;\n        parameters = undefined;\n    }\n    return gather(octokit, [], iterator(octokit, route, parameters)[Symbol.asyncIterator](), mapFn);\n}\nfunction gather(octokit, results, iterator, mapFn) {\n    return iterator.next().then((result) => {\n        if (result.done) {\n            return results;\n        }\n        let earlyExit = false;\n        function done() {\n            earlyExit = true;\n        }\n        results = results.concat(mapFn ? mapFn(result.value, done) : result.value.data);\n        if (earlyExit) {\n            return results;\n        }\n        return gather(octokit, results, iterator, mapFn);\n    });\n}\n","import { VERSION } from \"./version\";\nimport { paginate } from \"./paginate\";\nimport { iterator } from \"./iterator\";\n/**\n * @param octokit Octokit instance\n * @param options Options passed to Octokit constructor\n */\nexport function paginateRest(octokit) {\n    return {\n        paginate: Object.assign(paginate.bind(null, octokit), {\n            iterator: iterator.bind(null, octokit),\n        }),\n    };\n}\npaginateRest.VERSION = VERSION;\n"],"names":[],"mappings":"AAAO,MAAM,OAAO,GAAG,mBAAmB;;ACA1C;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA;AACA,AAAO,SAAS,8BAA8B,CAAC,QAAQ,EAAE;AACzD,IAAI,MAAM,0BAA0B,GAAG,aAAa,IAAI,QAAQ,CAAC,IAAI,IAAI,EAAE,KAAK,IAAI,QAAQ,CAAC,IAAI,CAAC,CAAC;AACnG,IAAI,IAAI,CAAC,0BAA0B;AACnC,QAAQ,OAAO,QAAQ,CAAC;AACxB;AACA;AACA,IAAI,MAAM,iBAAiB,GAAG,QAAQ,CAAC,IAAI,CAAC,kBAAkB,CAAC;AAC/D,IAAI,MAAM,mBAAmB,GAAG,QAAQ,CAAC,IAAI,CAAC,oBAAoB,CAAC;AACnE,IAAI,MAAM,UAAU,GAAG,QAAQ,CAAC,IAAI,CAAC,WAAW,CAAC;AACjD,IAAI,OAAO,QAAQ,CAAC,IAAI,CAAC,kBAAkB,CAAC;AAC5C,IAAI,OAAO,QAAQ,CAAC,IAAI,CAAC,oBAAoB,CAAC;AAC9C,IAAI,OAAO,QAAQ,CAAC,IAAI,CAAC,WAAW,CAAC;AACrC,IAAI,MAAM,YAAY,GAAG,MAAM,CAAC,IAAI,CAAC,QAAQ,CAAC,IAAI,CAAC,CAAC,CAAC,CAAC,CAAC;AACvD,IAAI,MAAM,IAAI,GAAG,QAAQ,CAAC,IAAI,CAAC,YAAY,CAAC,CAAC;AAC7C,IAAI,QAAQ,CAAC,IAAI,GAAG,IAAI,CAAC;AACzB,IAAI,IAAI,OAAO,iBAAiB,KAAK,WAAW,EAAE;AAClD,QAAQ,QAAQ,CAAC,IAAI,CAAC,kBAAkB,GAAG,iBAAiB,CAAC;AAC7D,KAAK;AACL,IAAI,IAAI,OAAO,mBAAmB,KAAK,WAAW,EAAE;AACpD,QAAQ,QAAQ,CAAC,IAAI,CAAC,oBAAoB,GAAG,mBAAmB,CAAC;AACjE,KAAK;AACL,IAAI,QAAQ,CAAC,IAAI,CAAC,WAAW,GAAG,UAAU,CAAC;AAC3C,IAAI,OAAO,QAAQ,CAAC;AACpB,CAAC;;ACtCM,SAAS,QAAQ,CAAC,OAAO,EAAE,KAAK,EAAE,UAAU,EAAE;AACrD,IAAI,MAAM,OAAO,GAAG,OAAO,KAAK,KAAK,UAAU;AAC/C,UAAU,KAAK,CAAC,QAAQ,CAAC,UAAU,CAAC;AACpC,UAAU,OAAO,CAAC,OAAO,CAAC,QAAQ,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC;AACtD,IAAI,MAAM,aAAa,GAAG,OAAO,KAAK,KAAK,UAAU,GAAG,KAAK,GAAG,OAAO,CAAC,OAAO,CAAC;AAChF,IAAI,MAAM,MAAM,GAAG,OAAO,CAAC,MAAM,CAAC;AAClC,IAAI,MAAM,OAAO,GAAG,OAAO,CAAC,OAAO,CAAC;AACpC,IAAI,IAAI,GAAG,GAAG,OAAO,CAAC,GAAG,CAAC;AAC1B,IAAI,OAAO;AACX,QAAQ,CAAC,MAAM,CAAC,aAAa,GAAG,OAAO;AACvC,YAAY,IAAI,GAAG;AACnB,gBAAgB,IAAI,CAAC,GAAG,EAAE;AAC1B,oBAAoB,OAAO,OAAO,CAAC,OAAO,CAAC,EAAE,IAAI,EAAE,IAAI,EAAE,CAAC,CAAC;AAC3D,iBAAiB;AACjB,gBAAgB,OAAO,aAAa,CAAC,EAAE,MAAM,EAAE,GAAG,EAAE,OAAO,EAAE,CAAC;AAC9D,qBAAqB,IAAI,CAAC,8BAA8B,CAAC;AACzD,qBAAqB,IAAI,CAAC,CAAC,QAAQ,KAAK;AACxC;AACA;AACA;AACA,oBAAoB,GAAG,GAAG,CAAC,CAAC,QAAQ,CAAC,OAAO,CAAC,IAAI,IAAI,EAAE,EAAE,KAAK,CAAC,yBAAyB,CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,CAAC;AACpG,oBAAoB,OAAO,EAAE,KAAK,EAAE,QAAQ,EAAE,CAAC;AAC/C,iBAAiB,CAAC,CAAC;AACnB,aAAa;AACb,SAAS,CAAC;AACV,KAAK,CAAC;AACN,CAAC;;AC1BM,SAAS,QAAQ,CAAC,OAAO,EAAE,KAAK,EAAE,UAAU,EAAE,KAAK,EAAE;AAC5D,IAAI,IAAI,OAAO,UAAU,KAAK,UAAU,EAAE;AAC1C,QAAQ,KAAK,GAAG,UAAU,CAAC;AAC3B,QAAQ,UAAU,GAAG,SAAS,CAAC;AAC/B,KAAK;AACL,IAAI,OAAO,MAAM,CAAC,OAAO,EAAE,EAAE,EAAE,QAAQ,CAAC,OAAO,EAAE,KAAK,EAAE,UAAU,CAAC,CAAC,MAAM,CAAC,aAAa,CAAC,EAAE,EAAE,KAAK,CAAC,CAAC;AACpG,CAAC;AACD,SAAS,MAAM,CAAC,OAAO,EAAE,OAAO,EAAE,QAAQ,EAAE,KAAK,EAAE;AACnD,IAAI,OAAO,QAAQ,CAAC,IAAI,EAAE,CAAC,IAAI,CAAC,CAAC,MAAM,KAAK;AAC5C,QAAQ,IAAI,MAAM,CAAC,IAAI,EAAE;AACzB,YAAY,OAAO,OAAO,CAAC;AAC3B,SAAS;AACT,QAAQ,IAAI,SAAS,GAAG,KAAK,CAAC;AAC9B,QAAQ,SAAS,IAAI,GAAG;AACxB,YAAY,SAAS,GAAG,IAAI,CAAC;AAC7B,SAAS;AACT,QAAQ,OAAO,GAAG,OAAO,CAAC,MAAM,CAAC,KAAK,GAAG,KAAK,CAAC,MAAM,CAAC,KAAK,EAAE,IAAI,CAAC,GAAG,MAAM,CAAC,KAAK,CAAC,IAAI,CAAC,CAAC;AACxF,QAAQ,IAAI,SAAS,EAAE;AACvB,YAAY,OAAO,OAAO,CAAC;AAC3B,SAAS;AACT,QAAQ,OAAO,MAAM,CAAC,OAAO,EAAE,OAAO,EAAE,QAAQ,EAAE,KAAK,CAAC,CAAC;AACzD,KAAK,CAAC,CAAC;AACP,CAAC;;ACpBD;AACA;AACA;AACA;AACA,AAAO,SAAS,YAAY,CAAC,OAAO,EAAE;AACtC,IAAI,OAAO;AACX,QAAQ,QAAQ,EAAE,MAAM,CAAC,MAAM,CAAC,QAAQ,CAAC,IAAI,CAAC,IAAI,EAAE,OAAO,CAAC,EAAE;AAC9D,YAAY,QAAQ,EAAE,QAAQ,CAAC,IAAI,CAAC,IAAI,EAAE,OAAO,CAAC;AAClD,SAAS,CAAC;AACV,KAAK,CAAC;AACN,CAAC;AACD,YAAY,CAAC,OAAO,GAAG,OAAO,CAAC;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/plugin-paginate-rest/package.json b/node_modules/@octokit/plugin-paginate-rest/package.json
index a67b1f1a1..598fe20bd 100644
--- a/node_modules/@octokit/plugin-paginate-rest/package.json
+++ b/node_modules/@octokit/plugin-paginate-rest/package.json
@@ -1,55 +1,57 @@
 {
   "_args": [
     [
-      "@octokit/plugin-paginate-rest@1.1.2",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@octokit/plugin-paginate-rest@2.3.0",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@octokit/plugin-paginate-rest@1.1.2",
-  "_id": "@octokit/plugin-paginate-rest@1.1.2",
+  "_from": "@octokit/plugin-paginate-rest@2.3.0",
+  "_id": "@octokit/plugin-paginate-rest@2.3.0",
   "_inBundle": false,
-  "_integrity": "sha512-jbsSoi5Q1pj63sC16XIUboklNw+8tL9VOnJsWycWYR78TKss5PVpIPb1TUUcMQ+bBh7cY579cVAWmf5qG+dw+Q==",
+  "_integrity": "sha512-Ye2ZJreP0ZlqJQz8fz+hXvrEAEYK4ay7br1eDpWzr6j76VXs/gKqxFcH8qRzkB3fo/2xh4Vy9VtGii4ZDc9qlA==",
   "_location": "/@octokit/plugin-paginate-rest",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@octokit/plugin-paginate-rest@1.1.2",
+    "raw": "@octokit/plugin-paginate-rest@2.3.0",
     "name": "@octokit/plugin-paginate-rest",
     "escapedName": "@octokit%2fplugin-paginate-rest",
     "scope": "@octokit",
-    "rawSpec": "1.1.2",
+    "rawSpec": "2.3.0",
     "saveSpec": null,
-    "fetchSpec": "1.1.2"
+    "fetchSpec": "2.3.0"
   },
   "_requiredBy": [
-    "/@octokit/rest"
+    "/@actions/github"
   ],
-  "_resolved": "https://registry.npmjs.org/@octokit/plugin-paginate-rest/-/plugin-paginate-rest-1.1.2.tgz",
-  "_spec": "1.1.2",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@octokit/plugin-paginate-rest/-/plugin-paginate-rest-2.3.0.tgz",
+  "_spec": "2.3.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/octokit/plugin-paginate-rest.js/issues"
   },
   "dependencies": {
-    "@octokit/types": "^2.0.1"
+    "@octokit/types": "^5.2.0"
   },
   "description": "Octokit plugin to paginate REST API endpoint responses",
   "devDependencies": {
-    "@octokit/core": "^2.0.0",
+    "@octokit/core": "^3.0.0",
+    "@octokit/plugin-rest-endpoint-methods": "^4.0.0",
     "@pika/pack": "^0.5.0",
-    "@pika/plugin-build-node": "^0.8.1",
-    "@pika/plugin-build-web": "^0.8.1",
-    "@pika/plugin-ts-standard-pkg": "^0.8.1",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
     "@types/fetch-mock": "^7.3.1",
-    "@types/jest": "^24.0.18",
-    "@types/node": "^13.1.0",
-    "fetch-mock": "^8.0.0",
-    "jest": "^24.9.0",
-    "prettier": "^1.18.2",
+    "@types/jest": "^26.0.0",
+    "@types/node": "^14.0.4",
+    "fetch-mock": "^9.0.0",
+    "jest": "^26.0.1",
+    "npm-run-all": "^4.1.5",
+    "prettier": "^2.0.4",
     "semantic-release": "^17.0.0",
     "semantic-release-plugin-update-version-in-files": "^1.0.0",
-    "ts-jest": "^24.1.0",
+    "ts-jest": "^26.0.0",
     "typescript": "^3.7.2"
   },
   "files": [
@@ -78,5 +80,5 @@
   "sideEffects": false,
   "source": "dist-src/index.js",
   "types": "dist-types/index.d.ts",
-  "version": "1.1.2"
+  "version": "2.3.0"
 }
diff --git a/node_modules/@octokit/plugin-request-log/LICENSE b/node_modules/@octokit/plugin-request-log/LICENSE
deleted file mode 100644
index d7d59275c..000000000
--- a/node_modules/@octokit/plugin-request-log/LICENSE
+++ /dev/null
@@ -1,7 +0,0 @@
-MIT License Copyright (c) 2020 Octokit contributors
-
-Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice (including the next paragraph) shall be included in all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/node_modules/@octokit/plugin-request-log/README.md b/node_modules/@octokit/plugin-request-log/README.md
deleted file mode 100644
index 151886b3a..000000000
--- a/node_modules/@octokit/plugin-request-log/README.md
+++ /dev/null
@@ -1,70 +0,0 @@
-# plugin-request-log.js
-
-> Log all requests and request errors
-
-[![@latest](https://img.shields.io/npm/v/@octokit/plugin-request-log.svg)](https://www.npmjs.com/package/@octokit/plugin-request-log)
-[![Build Status](https://github.com/octokit/plugin-request-log.js/workflows/Test/badge.svg)](https://github.com/octokit/plugin-request-log.js/actions?workflow=Test)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/plugin-request-log.js.svg)](https://greenkeeper.io/)
-
-## Usage
-
-<table>
-<tbody valign=top align=left>
-<tr><th>
-Browsers
-</th><td width=100%>
-
-Load `@octokit/plugin-request-log` and [`@octokit/core`](https://github.com/octokit/core.js) (or core-compatible module) directly from [cdn.pika.dev](https://cdn.pika.dev)
-
-```html
-<script type="module">
-  import { Octokit } from "https://cdn.pika.dev/@octokit/core";
-  import { requestLog } from "https://cdn.pika.dev/@octokit/plugin-request-log";
-</script>
-```
-
-</td></tr>
-<tr><th>
-Node
-</th><td>
-
-Install with `npm install @octokit/core @octokit/plugin-request-log`. Optionally replace `@octokit/core` with a core-compatible module
-
-```js
-const { Octokit } = require("@octokit/core");
-const { requestLog } = require("@octokit/plugin-request-log");
-```
-
-</td></tr>
-</tbody>
-</table>
-
-```js
-const MyOctokit = Octokit.plugin(requestLog);
-const octokit = new MyOctokit({ auth: "secret123" });
-
-octokit.request("GET /");
-// logs "GET / - 200 in 123ms
-
-octokit.request("GET /oops");
-// logs "GET / - 404 in 123ms
-```
-
-In order to log all request options, the `log.debug` option needs to be set. We recommend the [console-log-level](https://github.com/watson/console-log-level) package for a configurable log level
-
-```js
-const octokit = new MyOctokit({
-  log: require("console-log-level")({
-    auth: "secret123",
-    level: "info"
-  })
-});
-```
-
-## Contributing
-
-See [CONTRIBUTING.md](CONTRIBUTING.md)
-
-## License
-
-[MIT](LICENSE)
diff --git a/node_modules/@octokit/plugin-request-log/dist-node/index.js b/node_modules/@octokit/plugin-request-log/dist-node/index.js
deleted file mode 100644
index 83c09ef99..000000000
--- a/node_modules/@octokit/plugin-request-log/dist-node/index.js
+++ /dev/null
@@ -1,30 +0,0 @@
-'use strict';
-
-Object.defineProperty(exports, '__esModule', { value: true });
-
-const VERSION = "1.0.0";
-
-/**
- * @param octokit Octokit instance
- * @param options Options passed to Octokit constructor
- */
-
-function requestLog(octokit) {
-  octokit.hook.wrap("request", (request, options) => {
-    octokit.log.debug("request", options);
-    const start = Date.now();
-    const requestOptions = octokit.request.endpoint.parse(options);
-    const path = requestOptions.url.replace(options.baseUrl, "");
-    return request(options).then(response => {
-      octokit.log.info(`${requestOptions.method} ${path} - ${response.status} in ${Date.now() - start}ms`);
-      return response;
-    }).catch(error => {
-      octokit.log.info(`${requestOptions.method} ${path} - ${error.status} in ${Date.now() - start}ms`);
-      throw error;
-    });
-  });
-}
-requestLog.VERSION = VERSION;
-
-exports.requestLog = requestLog;
-//# sourceMappingURL=index.js.map
diff --git a/node_modules/@octokit/plugin-request-log/dist-node/index.js.map b/node_modules/@octokit/plugin-request-log/dist-node/index.js.map
deleted file mode 100644
index 3d13ca222..000000000
--- a/node_modules/@octokit/plugin-request-log/dist-node/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"1.0.0\";\n","import { VERSION } from \"./version\";\n/**\n * @param octokit Octokit instance\n * @param options Options passed to Octokit constructor\n */\nexport function requestLog(octokit) {\n    octokit.hook.wrap(\"request\", (request, options) => {\n        octokit.log.debug(\"request\", options);\n        const start = Date.now();\n        const requestOptions = octokit.request.endpoint.parse(options);\n        const path = requestOptions.url.replace(options.baseUrl, \"\");\n        return request(options)\n            .then(response => {\n            octokit.log.info(`${requestOptions.method} ${path} - ${response.status} in ${Date.now() - start}ms`);\n            return response;\n        })\n            .catch(error => {\n            octokit.log.info(`${requestOptions.method} ${path} - ${error.status} in ${Date.now() -\n                start}ms`);\n            throw error;\n        });\n    });\n}\nrequestLog.VERSION = VERSION;\n"],"names":["VERSION","requestLog","octokit","hook","wrap","request","options","log","debug","start","Date","now","requestOptions","endpoint","parse","path","url","replace","baseUrl","then","response","info","method","status","catch","error"],"mappings":";;;;AAAO,MAAMA,OAAO,GAAG,mBAAhB;;ACCP;;;;;AAIA,AAAO,SAASC,UAAT,CAAoBC,OAApB,EAA6B;AAChCA,EAAAA,OAAO,CAACC,IAAR,CAAaC,IAAb,CAAkB,SAAlB,EAA6B,CAACC,OAAD,EAAUC,OAAV,KAAsB;AAC/CJ,IAAAA,OAAO,CAACK,GAAR,CAAYC,KAAZ,CAAkB,SAAlB,EAA6BF,OAA7B;AACA,UAAMG,KAAK,GAAGC,IAAI,CAACC,GAAL,EAAd;AACA,UAAMC,cAAc,GAAGV,OAAO,CAACG,OAAR,CAAgBQ,QAAhB,CAAyBC,KAAzB,CAA+BR,OAA/B,CAAvB;AACA,UAAMS,IAAI,GAAGH,cAAc,CAACI,GAAf,CAAmBC,OAAnB,CAA2BX,OAAO,CAACY,OAAnC,EAA4C,EAA5C,CAAb;AACA,WAAOb,OAAO,CAACC,OAAD,CAAP,CACFa,IADE,CACGC,QAAQ,IAAI;AAClBlB,MAAAA,OAAO,CAACK,GAAR,CAAYc,IAAZ,CAAkB,GAAET,cAAc,CAACU,MAAO,IAAGP,IAAK,MAAKK,QAAQ,CAACG,MAAO,OAAMb,IAAI,CAACC,GAAL,KAAaF,KAAM,IAAhG;AACA,aAAOW,QAAP;AACH,KAJM,EAKFI,KALE,CAKIC,KAAK,IAAI;AAChBvB,MAAAA,OAAO,CAACK,GAAR,CAAYc,IAAZ,CAAkB,GAAET,cAAc,CAACU,MAAO,IAAGP,IAAK,MAAKU,KAAK,CAACF,MAAO,OAAMb,IAAI,CAACC,GAAL,KACtEF,KAAM,IADV;AAEA,YAAMgB,KAAN;AACH,KATM,CAAP;AAUH,GAfD;AAgBH;AACDxB,UAAU,CAACD,OAAX,GAAqBA,OAArB;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/plugin-request-log/dist-src/index.js b/node_modules/@octokit/plugin-request-log/dist-src/index.js
deleted file mode 100644
index aa849220d..000000000
--- a/node_modules/@octokit/plugin-request-log/dist-src/index.js
+++ /dev/null
@@ -1,24 +0,0 @@
-import { VERSION } from "./version";
-/**
- * @param octokit Octokit instance
- * @param options Options passed to Octokit constructor
- */
-export function requestLog(octokit) {
-    octokit.hook.wrap("request", (request, options) => {
-        octokit.log.debug("request", options);
-        const start = Date.now();
-        const requestOptions = octokit.request.endpoint.parse(options);
-        const path = requestOptions.url.replace(options.baseUrl, "");
-        return request(options)
-            .then(response => {
-            octokit.log.info(`${requestOptions.method} ${path} - ${response.status} in ${Date.now() - start}ms`);
-            return response;
-        })
-            .catch(error => {
-            octokit.log.info(`${requestOptions.method} ${path} - ${error.status} in ${Date.now() -
-                start}ms`);
-            throw error;
-        });
-    });
-}
-requestLog.VERSION = VERSION;
diff --git a/node_modules/@octokit/plugin-request-log/dist-src/version.js b/node_modules/@octokit/plugin-request-log/dist-src/version.js
deleted file mode 100644
index aa2575bab..000000000
--- a/node_modules/@octokit/plugin-request-log/dist-src/version.js
+++ /dev/null
@@ -1 +0,0 @@
-export const VERSION = "1.0.0";
diff --git a/node_modules/@octokit/plugin-request-log/dist-types/index.d.ts b/node_modules/@octokit/plugin-request-log/dist-types/index.d.ts
deleted file mode 100644
index 5c28712b9..000000000
--- a/node_modules/@octokit/plugin-request-log/dist-types/index.d.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { Octokit } from "@octokit/core";
-/**
- * @param octokit Octokit instance
- * @param options Options passed to Octokit constructor
- */
-export declare function requestLog(octokit: Octokit): void;
-export declare namespace requestLog {
-    var VERSION: string;
-}
diff --git a/node_modules/@octokit/plugin-request-log/dist-types/version.d.ts b/node_modules/@octokit/plugin-request-log/dist-types/version.d.ts
deleted file mode 100644
index 5743c2ab5..000000000
--- a/node_modules/@octokit/plugin-request-log/dist-types/version.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export declare const VERSION = "1.0.0";
diff --git a/node_modules/@octokit/plugin-request-log/dist-web/index.js b/node_modules/@octokit/plugin-request-log/dist-web/index.js
deleted file mode 100644
index 9c06f702f..000000000
--- a/node_modules/@octokit/plugin-request-log/dist-web/index.js
+++ /dev/null
@@ -1,28 +0,0 @@
-const VERSION = "1.0.0";
-
-/**
- * @param octokit Octokit instance
- * @param options Options passed to Octokit constructor
- */
-function requestLog(octokit) {
-    octokit.hook.wrap("request", (request, options) => {
-        octokit.log.debug("request", options);
-        const start = Date.now();
-        const requestOptions = octokit.request.endpoint.parse(options);
-        const path = requestOptions.url.replace(options.baseUrl, "");
-        return request(options)
-            .then(response => {
-            octokit.log.info(`${requestOptions.method} ${path} - ${response.status} in ${Date.now() - start}ms`);
-            return response;
-        })
-            .catch(error => {
-            octokit.log.info(`${requestOptions.method} ${path} - ${error.status} in ${Date.now() -
-                start}ms`);
-            throw error;
-        });
-    });
-}
-requestLog.VERSION = VERSION;
-
-export { requestLog };
-//# sourceMappingURL=index.js.map
diff --git a/node_modules/@octokit/plugin-request-log/dist-web/index.js.map b/node_modules/@octokit/plugin-request-log/dist-web/index.js.map
deleted file mode 100644
index 59145b1dc..000000000
--- a/node_modules/@octokit/plugin-request-log/dist-web/index.js.map
+++ /dev/null
@@ -1 +0,0 @@
-{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"1.0.0\";\n","import { VERSION } from \"./version\";\n/**\n * @param octokit Octokit instance\n * @param options Options passed to Octokit constructor\n */\nexport function requestLog(octokit) {\n    octokit.hook.wrap(\"request\", (request, options) => {\n        octokit.log.debug(\"request\", options);\n        const start = Date.now();\n        const requestOptions = octokit.request.endpoint.parse(options);\n        const path = requestOptions.url.replace(options.baseUrl, \"\");\n        return request(options)\n            .then(response => {\n            octokit.log.info(`${requestOptions.method} ${path} - ${response.status} in ${Date.now() - start}ms`);\n            return response;\n        })\n            .catch(error => {\n            octokit.log.info(`${requestOptions.method} ${path} - ${error.status} in ${Date.now() -\n                start}ms`);\n            throw error;\n        });\n    });\n}\nrequestLog.VERSION = VERSION;\n"],"names":[],"mappings":"AAAO,MAAM,OAAO,GAAG,mBAAmB;;ACC1C;AACA;AACA;AACA;AACA,AAAO,SAAS,UAAU,CAAC,OAAO,EAAE;AACpC,IAAI,OAAO,CAAC,IAAI,CAAC,IAAI,CAAC,SAAS,EAAE,CAAC,OAAO,EAAE,OAAO,KAAK;AACvD,QAAQ,OAAO,CAAC,GAAG,CAAC,KAAK,CAAC,SAAS,EAAE,OAAO,CAAC,CAAC;AAC9C,QAAQ,MAAM,KAAK,GAAG,IAAI,CAAC,GAAG,EAAE,CAAC;AACjC,QAAQ,MAAM,cAAc,GAAG,OAAO,CAAC,OAAO,CAAC,QAAQ,CAAC,KAAK,CAAC,OAAO,CAAC,CAAC;AACvE,QAAQ,MAAM,IAAI,GAAG,cAAc,CAAC,GAAG,CAAC,OAAO,CAAC,OAAO,CAAC,OAAO,EAAE,EAAE,CAAC,CAAC;AACrE,QAAQ,OAAO,OAAO,CAAC,OAAO,CAAC;AAC/B,aAAa,IAAI,CAAC,QAAQ,IAAI;AAC9B,YAAY,OAAO,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,EAAE,cAAc,CAAC,MAAM,CAAC,CAAC,EAAE,IAAI,CAAC,GAAG,EAAE,QAAQ,CAAC,MAAM,CAAC,IAAI,EAAE,IAAI,CAAC,GAAG,EAAE,GAAG,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AACjH,YAAY,OAAO,QAAQ,CAAC;AAC5B,SAAS,CAAC;AACV,aAAa,KAAK,CAAC,KAAK,IAAI;AAC5B,YAAY,OAAO,CAAC,GAAG,CAAC,IAAI,CAAC,CAAC,EAAE,cAAc,CAAC,MAAM,CAAC,CAAC,EAAE,IAAI,CAAC,GAAG,EAAE,KAAK,CAAC,MAAM,CAAC,IAAI,EAAE,IAAI,CAAC,GAAG,EAAE;AAChG,gBAAgB,KAAK,CAAC,EAAE,CAAC,CAAC,CAAC;AAC3B,YAAY,MAAM,KAAK,CAAC;AACxB,SAAS,CAAC,CAAC;AACX,KAAK,CAAC,CAAC;AACP,CAAC;AACD,UAAU,CAAC,OAAO,GAAG,OAAO,CAAC;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/plugin-request-log/package.json b/node_modules/@octokit/plugin-request-log/package.json
deleted file mode 100644
index fe3101ffe..000000000
--- a/node_modules/@octokit/plugin-request-log/package.json
+++ /dev/null
@@ -1,80 +0,0 @@
-{
-  "_args": [
-    [
-      "@octokit/plugin-request-log@1.0.0",
-      "/home/runner/work/readable-readme/readable-readme"
-    ]
-  ],
-  "_from": "@octokit/plugin-request-log@1.0.0",
-  "_id": "@octokit/plugin-request-log@1.0.0",
-  "_inBundle": false,
-  "_integrity": "sha512-ywoxP68aOT3zHCLgWZgwUJatiENeHE7xJzYjfz8WI0goynp96wETBF+d95b8g/uL4QmS6owPVlaxiz3wyMAzcw==",
-  "_location": "/@octokit/plugin-request-log",
-  "_phantomChildren": {},
-  "_requested": {
-    "type": "version",
-    "registry": true,
-    "raw": "@octokit/plugin-request-log@1.0.0",
-    "name": "@octokit/plugin-request-log",
-    "escapedName": "@octokit%2fplugin-request-log",
-    "scope": "@octokit",
-    "rawSpec": "1.0.0",
-    "saveSpec": null,
-    "fetchSpec": "1.0.0"
-  },
-  "_requiredBy": [
-    "/@octokit/rest"
-  ],
-  "_resolved": "https://registry.npmjs.org/@octokit/plugin-request-log/-/plugin-request-log-1.0.0.tgz",
-  "_spec": "1.0.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
-  "bugs": {
-    "url": "https://github.com/octokit/plugin-request-log.js/issues"
-  },
-  "dependencies": {},
-  "description": "Log all requests and request errors",
-  "devDependencies": {
-    "@octokit/core": "^2.1.2",
-    "@pika/pack": "^0.5.0",
-    "@pika/plugin-build-node": "^0.8.1",
-    "@pika/plugin-build-web": "^0.8.1",
-    "@pika/plugin-ts-standard-pkg": "^0.8.1",
-    "@types/fetch-mock": "^7.3.2",
-    "@types/jest": "^24.0.25",
-    "@types/node": "^13.1.6",
-    "fetch-mock": "^8.3.1",
-    "jest": "^24.9.0",
-    "prettier": "^1.19.1",
-    "semantic-release": "^16.0.1",
-    "semantic-release-plugin-update-version-in-files": "^1.0.0",
-    "ts-jest": "^24.3.0",
-    "typescript": "^3.7.4"
-  },
-  "files": [
-    "dist-*/",
-    "bin/"
-  ],
-  "homepage": "https://github.com/octokit/plugin-request-log.js#readme",
-  "keywords": [
-    "github",
-    "api",
-    "sdk",
-    "toolkit"
-  ],
-  "license": "MIT",
-  "main": "dist-node/index.js",
-  "module": "dist-web/index.js",
-  "name": "@octokit/plugin-request-log",
-  "pika": true,
-  "publishConfig": {
-    "access": "public"
-  },
-  "repository": {
-    "type": "git",
-    "url": "git+https://github.com/octokit/plugin-request-log.js.git"
-  },
-  "sideEffects": false,
-  "source": "dist-src/index.js",
-  "types": "dist-types/index.d.ts",
-  "version": "1.0.0"
-}
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/README.md b/node_modules/@octokit/plugin-rest-endpoint-methods/README.md
index 2c3ae5c17..5168abfb3 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/README.md
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/README.md
@@ -4,7 +4,6 @@
 
 [![@latest](https://img.shields.io/npm/v/@octokit/plugin-rest-endpoint-methods.svg)](https://www.npmjs.com/package/@octokit/plugin-rest-endpoint-methods)
 [![Build Status](https://github.com/octokit/plugin-rest-endpoint-methods.js/workflows/Test/badge.svg)](https://github.com/octokit/plugin-rest-endpoint-methods.js/actions?workflow=Test)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/plugin-rest-endpoint-methods.js.svg)](https://greenkeeper.io/)
 
 ## Usage
 
@@ -33,7 +32,7 @@ Install with `npm install @octokit/core @octokit/plugin-rest-endpoint-methods`.
 ```js
 const { Octokit } = require("@octokit/core");
 const {
-  restEndpointMethods
+  restEndpointMethods,
 } = require("@octokit/plugin-rest-endpoint-methods");
 ```
 
@@ -45,2669 +44,25 @@ const {
 const MyOctokit = Octokit.plugin(restEndpointMethods);
 const octokit = new MyOctokit({ auth: "secret123" });
 
-// https://developer.github.com/v3/apps/#get-the-authenticated-github-app
-octokit.apps.getAuthenticated();
-
-// https://developer.github.com/v3/apps/#create-a-github-app-from-a-manifest
-octokit.apps.createFromManifest({ code });
-
-// https://developer.github.com/v3/apps/#list-installations
-octokit.apps.listInstallations();
-
-// https://developer.github.com/v3/apps/#get-an-installation
-octokit.apps.getInstallation({ installation_id });
-
-// https://developer.github.com/v3/apps/#delete-an-installation
-octokit.apps.deleteInstallation({ installation_id });
-
-// https://developer.github.com/v3/apps/#create-a-new-installation-token
-octokit.apps.createInstallationToken({
-  installation_id,
-  repository_ids,
-  permissions
-});
-
-// https://developer.github.com/v3/oauth_authorizations/#list-your-grants
-octokit.oauthAuthorizations.listGrants();
-
-// https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant
-octokit.oauthAuthorizations.getGrant({ grant_id });
-
-// https://developer.github.com/v3/oauth_authorizations/#delete-a-grant
-octokit.oauthAuthorizations.deleteGrant({ grant_id });
-
-// https://developer.github.com/v3/apps/oauth_applications/#delete-an-app-authorization
-octokit.apps.deleteAuthorization({ client_id, access_token });
-
-// https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application
-octokit.apps.revokeGrantForApplication({ client_id, access_token });
-
-// DEPRECATED: octokit.oauthAuthorizations.revokeGrantForApplication() has been renamed to octokit.apps.revokeGrantForApplication()
-octokit.oauthAuthorizations.revokeGrantForApplication({
-  client_id,
-  access_token
-});
-
-// https://developer.github.com/v3/apps/oauth_applications/#check-a-token
-octokit.apps.checkToken({ client_id, access_token });
-
-// https://developer.github.com/v3/apps/oauth_applications/#reset-a-token
-octokit.apps.resetToken({ client_id, access_token });
-
-// https://developer.github.com/v3/apps/oauth_applications/#delete-an-app-token
-octokit.apps.deleteToken({ client_id, access_token });
-
-// https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization
-octokit.apps.checkAuthorization({ client_id, access_token });
-
-// DEPRECATED: octokit.oauthAuthorizations.checkAuthorization() has been renamed to octokit.apps.checkAuthorization()
-octokit.oauthAuthorizations.checkAuthorization({ client_id, access_token });
-
-// https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization
-octokit.apps.resetAuthorization({ client_id, access_token });
-
-// DEPRECATED: octokit.oauthAuthorizations.resetAuthorization() has been renamed to octokit.apps.resetAuthorization()
-octokit.oauthAuthorizations.resetAuthorization({ client_id, access_token });
-
-// https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application
-octokit.apps.revokeAuthorizationForApplication({ client_id, access_token });
-
-// DEPRECATED: octokit.oauthAuthorizations.revokeAuthorizationForApplication() has been renamed to octokit.apps.revokeAuthorizationForApplication()
-octokit.oauthAuthorizations.revokeAuthorizationForApplication({
-  client_id,
-  access_token
-});
-
-// https://developer.github.com/v3/apps/#get-a-single-github-app
-octokit.apps.getBySlug({ app_slug });
-
-// https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations
-octokit.oauthAuthorizations.listAuthorizations();
-
-// https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization
-octokit.oauthAuthorizations.createAuthorization({
-  scopes,
-  note,
-  note_url,
-  client_id,
-  client_secret,
-  fingerprint
-});
-
-// https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app
-octokit.oauthAuthorizations.getOrCreateAuthorizationForApp({
-  client_id,
-  client_secret,
-  scopes,
-  note,
-  note_url,
-  fingerprint
-});
-
-// https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint
-octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint({
-  client_id,
-  fingerprint,
-  client_secret,
-  scopes,
-  note,
-  note_url
-});
-
-// DEPRECATED: octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint() has been renamed to octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint()
-octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint({
-  client_id,
-  fingerprint,
-  client_secret,
-  scopes,
-  note,
-  note_url
-});
-
-// https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization
-octokit.oauthAuthorizations.getAuthorization({ authorization_id });
-
-// https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization
-octokit.oauthAuthorizations.updateAuthorization({
-  authorization_id,
-  scopes,
-  add_scopes,
-  remove_scopes,
-  note,
-  note_url,
-  fingerprint
-});
-
-// https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization
-octokit.oauthAuthorizations.deleteAuthorization({ authorization_id });
-
-// https://developer.github.com/v3/codes_of_conduct/#list-all-codes-of-conduct
-octokit.codesOfConduct.listConductCodes();
-
-// https://developer.github.com/v3/codes_of_conduct/#get-an-individual-code-of-conduct
-octokit.codesOfConduct.getConductCode({ key });
-
-// https://developer.github.com/v3/apps/installations/#create-a-content-attachment
-octokit.apps.createContentAttachment({ content_reference_id, title, body });
-
-// https://developer.github.com/v3/emojis/#emojis
-octokit.emojis.get();
-
-// https://developer.github.com/v3/activity/events/#list-public-events
-octokit.activity.listPublicEvents();
-
-// https://developer.github.com/v3/activity/feeds/#list-feeds
-octokit.activity.listFeeds();
-
-// https://developer.github.com/v3/gists/#list-a-users-gists
-octokit.gists.list({ since });
-
-// https://developer.github.com/v3/gists/#create-a-gist
-octokit.gists.create({ files, description, public });
-
-// https://developer.github.com/v3/gists/#list-all-public-gists
-octokit.gists.listPublic({ since });
-
-// https://developer.github.com/v3/gists/#list-starred-gists
-octokit.gists.listStarred({ since });
-
-// https://developer.github.com/v3/gists/#get-a-single-gist
-octokit.gists.get({ gist_id });
-
-// https://developer.github.com/v3/gists/#edit-a-gist
-octokit.gists.update({ gist_id, description, files });
-
-// https://developer.github.com/v3/gists/#delete-a-gist
-octokit.gists.delete({ gist_id });
-
-// https://developer.github.com/v3/gists/comments/#list-comments-on-a-gist
-octokit.gists.listComments({ gist_id });
-
-// https://developer.github.com/v3/gists/comments/#create-a-comment
-octokit.gists.createComment({ gist_id, body });
-
-// https://developer.github.com/v3/gists/comments/#get-a-single-comment
-octokit.gists.getComment({ gist_id, comment_id });
-
-// https://developer.github.com/v3/gists/comments/#edit-a-comment
-octokit.gists.updateComment({ gist_id, comment_id, body });
-
-// https://developer.github.com/v3/gists/comments/#delete-a-comment
-octokit.gists.deleteComment({ gist_id, comment_id });
-
-// https://developer.github.com/v3/gists/#list-gist-commits
-octokit.gists.listCommits({ gist_id });
-
-// https://developer.github.com/v3/gists/#fork-a-gist
-octokit.gists.fork({ gist_id });
-
-// https://developer.github.com/v3/gists/#list-gist-forks
-octokit.gists.listForks({ gist_id });
-
-// https://developer.github.com/v3/gists/#star-a-gist
-octokit.gists.star({ gist_id });
-
-// https://developer.github.com/v3/gists/#unstar-a-gist
-octokit.gists.unstar({ gist_id });
-
-// https://developer.github.com/v3/gists/#check-if-a-gist-is-starred
-octokit.gists.checkIsStarred({ gist_id });
-
-// https://developer.github.com/v3/gists/#get-a-specific-revision-of-a-gist
-octokit.gists.getRevision({ gist_id, sha });
-
-// https://developer.github.com/v3/gitignore/#listing-available-templates
-octokit.gitignore.listTemplates();
-
-// https://developer.github.com/v3/gitignore/#get-a-single-template
-octokit.gitignore.getTemplate({ name });
-
-// https://developer.github.com/v3/apps/installations/#list-repositories
-octokit.apps.listRepos();
-
-// https://developer.github.com/v3/apps/installations/#revoke-an-installation-token
-octokit.apps.revokeInstallationToken();
-
-// https://developer.github.com/v3/issues/#list-issues
-octokit.issues.list({ filter, state, labels, sort, direction, since });
-
-// https://developer.github.com/v3/licenses/#list-commonly-used-licenses
-octokit.licenses.listCommonlyUsed();
-
-// DEPRECATED: octokit.licenses.list() has been renamed to octokit.licenses.listCommonlyUsed()
-octokit.licenses.list();
-
-// https://developer.github.com/v3/licenses/#get-an-individual-license
-octokit.licenses.get({ license });
-
-// https://developer.github.com/v3/markdown/#render-an-arbitrary-markdown-document
-octokit.markdown.render({ text, mode, context });
-
-// https://developer.github.com/v3/markdown/#render-a-markdown-document-in-raw-mode
-octokit.markdown.renderRaw({ data });
-
-// https://developer.github.com/v3/apps/marketplace/#check-if-a-github-account-is-associated-with-any-marketplace-listing
-octokit.apps.checkAccountIsAssociatedWithAny({ account_id });
-
-// https://developer.github.com/v3/apps/marketplace/#list-all-plans-for-your-marketplace-listing
-octokit.apps.listPlans();
-
-// https://developer.github.com/v3/apps/marketplace/#list-all-github-accounts-user-or-organization-on-a-specific-plan
-octokit.apps.listAccountsUserOrOrgOnPlan({ plan_id, sort, direction });
-
-// https://developer.github.com/v3/apps/marketplace/#check-if-a-github-account-is-associated-with-any-marketplace-listing
-octokit.apps.checkAccountIsAssociatedWithAnyStubbed({ account_id });
-
-// https://developer.github.com/v3/apps/marketplace/#list-all-plans-for-your-marketplace-listing
-octokit.apps.listPlansStubbed();
-
-// https://developer.github.com/v3/apps/marketplace/#list-all-github-accounts-user-or-organization-on-a-specific-plan
-octokit.apps.listAccountsUserOrOrgOnPlanStubbed({ plan_id, sort, direction });
-
-// https://developer.github.com/v3/meta/#meta
-octokit.meta.get();
-
-// https://developer.github.com/v3/activity/events/#list-public-events-for-a-network-of-repositories
-octokit.activity.listPublicEventsForRepoNetwork({ owner, repo });
-
-// https://developer.github.com/v3/activity/notifications/#list-your-notifications
-octokit.activity.listNotifications({ all, participating, since, before });
-
-// https://developer.github.com/v3/activity/notifications/#mark-as-read
-octokit.activity.markAsRead({ last_read_at });
-
-// https://developer.github.com/v3/activity/notifications/#view-a-single-thread
-octokit.activity.getThread({ thread_id });
-
-// https://developer.github.com/v3/activity/notifications/#mark-a-thread-as-read
-octokit.activity.markThreadAsRead({ thread_id });
-
-// https://developer.github.com/v3/activity/notifications/#get-a-thread-subscription
-octokit.activity.getThreadSubscription({ thread_id });
-
-// https://developer.github.com/v3/activity/notifications/#set-a-thread-subscription
-octokit.activity.setThreadSubscription({ thread_id, ignored });
-
-// https://developer.github.com/v3/activity/notifications/#delete-a-thread-subscription
-octokit.activity.deleteThreadSubscription({ thread_id });
-
-// https://developer.github.com/v3/orgs/#list-all-organizations
-octokit.orgs.list({ since });
-
-// https://developer.github.com/v3/orgs/#get-an-organization
-octokit.orgs.get({ org });
-
-// https://developer.github.com/v3/orgs/#edit-an-organization
-octokit.orgs.update({
-  org,
-  billing_email,
-  company,
-  email,
-  location,
-  name,
-  description,
-  has_organization_projects,
-  has_repository_projects,
-  default_repository_permission,
-  members_can_create_repositories,
-  members_can_create_internal_repositories,
-  members_can_create_private_repositories,
-  members_can_create_public_repositories,
-  members_allowed_repository_creation_type
-});
-
-// https://developer.github.com/v3/orgs/blocking/#list-blocked-users
-octokit.orgs.listBlockedUsers({ org });
-
-// https://developer.github.com/v3/orgs/blocking/#check-whether-a-user-is-blocked-from-an-organization
-octokit.orgs.checkBlockedUser({ org, username });
-
-// https://developer.github.com/v3/orgs/blocking/#block-a-user
-octokit.orgs.blockUser({ org, username });
-
-// https://developer.github.com/v3/orgs/blocking/#unblock-a-user
-octokit.orgs.unblockUser({ org, username });
-
-// https://developer.github.com/v3/activity/events/#list-public-events-for-an-organization
-octokit.activity.listPublicEventsForOrg({ org });
-
-// https://developer.github.com/v3/orgs/hooks/#list-hooks
-octokit.orgs.listHooks({ org });
-
-// https://developer.github.com/v3/orgs/hooks/#create-a-hook
-octokit.orgs.createHook({ org, name, config, events, active });
-
-// https://developer.github.com/v3/orgs/hooks/#get-single-hook
-octokit.orgs.getHook({ org, hook_id });
-
-// https://developer.github.com/v3/orgs/hooks/#edit-a-hook
-octokit.orgs.updateHook({ org, hook_id, config, events, active });
-
-// https://developer.github.com/v3/orgs/hooks/#delete-a-hook
-octokit.orgs.deleteHook({ org, hook_id });
-
-// https://developer.github.com/v3/orgs/hooks/#ping-a-hook
-octokit.orgs.pingHook({ org, hook_id });
-
-// https://developer.github.com/v3/apps/#get-an-organization-installation
-octokit.apps.getOrgInstallation({ org });
-
-// DEPRECATED: octokit.apps.findOrgInstallation() has been renamed to octokit.apps.getOrgInstallation()
-octokit.apps.findOrgInstallation({ org });
-
-// https://developer.github.com/v3/orgs/#list-installations-for-an-organization
-octokit.orgs.listInstallations({ org });
-
-// https://developer.github.com/v3/interactions/orgs/#get-interaction-restrictions-for-an-organization
-octokit.interactions.getRestrictionsForOrg({ org });
-
-// https://developer.github.com/v3/interactions/orgs/#add-or-update-interaction-restrictions-for-an-organization
-octokit.interactions.addOrUpdateRestrictionsForOrg({ org, limit });
-
-// https://developer.github.com/v3/interactions/orgs/#remove-interaction-restrictions-for-an-organization
-octokit.interactions.removeRestrictionsForOrg({ org });
-
-// https://developer.github.com/v3/orgs/members/#list-pending-organization-invitations
-octokit.orgs.listPendingInvitations({ org });
-
-// https://developer.github.com/v3/orgs/members/#create-organization-invitation
-octokit.orgs.createInvitation({ org, invitee_id, email, role, team_ids });
-
-// https://developer.github.com/v3/orgs/members/#list-organization-invitation-teams
-octokit.orgs.listInvitationTeams({ org, invitation_id });
-
-// https://developer.github.com/v3/issues/#list-issues
-octokit.issues.listForOrg({
-  org,
-  filter,
-  state,
-  labels,
-  sort,
-  direction,
-  since
-});
-
-// https://developer.github.com/v3/orgs/members/#members-list
-octokit.orgs.listMembers({ org, filter, role });
-
-// https://developer.github.com/v3/orgs/members/#check-membership
-octokit.orgs.checkMembership({ org, username });
-
-// https://developer.github.com/v3/orgs/members/#remove-a-member
-octokit.orgs.removeMember({ org, username });
-
-// https://developer.github.com/v3/orgs/members/#get-organization-membership
-octokit.orgs.getMembership({ org, username });
-
-// https://developer.github.com/v3/orgs/members/#add-or-update-organization-membership
-octokit.orgs.addOrUpdateMembership({ org, username, role });
-
-// https://developer.github.com/v3/orgs/members/#remove-organization-membership
-octokit.orgs.removeMembership({ org, username });
-
-// https://developer.github.com/v3/migrations/orgs/#start-an-organization-migration
-octokit.migrations.startForOrg({
-  org,
-  repositories,
-  lock_repositories,
-  exclude_attachments
-});
-
-// https://developer.github.com/v3/migrations/orgs/#list-organization-migrations
-octokit.migrations.listForOrg({ org });
-
-// https://developer.github.com/v3/migrations/orgs/#get-the-status-of-an-organization-migration
-octokit.migrations.getStatusForOrg({ org, migration_id });
-
-// https://developer.github.com/v3/migrations/orgs/#download-an-organization-migration-archive
-octokit.migrations.downloadArchiveForOrg({ org, migration_id });
-
-// DEPRECATED: octokit.migrations.getArchiveForOrg() has been renamed to octokit.migrations.downloadArchiveForOrg()
-octokit.migrations.getArchiveForOrg({ org, migration_id });
-
-// https://developer.github.com/v3/migrations/orgs/#delete-an-organization-migration-archive
-octokit.migrations.deleteArchiveForOrg({ org, migration_id });
-
-// https://developer.github.com/v3/migrations/orgs/#unlock-an-organization-repository
-octokit.migrations.unlockRepoForOrg({ org, migration_id, repo_name });
-
-// https://developer.github.com/v3/migrations/orgs/#list-repositories-in-an-organization-migration
-octokit.migrations.listReposForOrg({ org, migration_id });
-
-// https://developer.github.com/v3/orgs/outside_collaborators/#list-outside-collaborators
-octokit.orgs.listOutsideCollaborators({ org, filter });
-
-// https://developer.github.com/v3/orgs/outside_collaborators/#remove-outside-collaborator
-octokit.orgs.removeOutsideCollaborator({ org, username });
-
-// https://developer.github.com/v3/orgs/outside_collaborators/#convert-member-to-outside-collaborator
-octokit.orgs.convertMemberToOutsideCollaborator({ org, username });
-
-// https://developer.github.com/v3/projects/#list-organization-projects
-octokit.projects.listForOrg({ org, state });
-
-// https://developer.github.com/v3/projects/#create-an-organization-project
-octokit.projects.createForOrg({ org, name, body });
-
-// https://developer.github.com/v3/orgs/members/#public-members-list
-octokit.orgs.listPublicMembers({ org });
-
-// https://developer.github.com/v3/orgs/members/#check-public-membership
-octokit.orgs.checkPublicMembership({ org, username });
-
-// https://developer.github.com/v3/orgs/members/#publicize-a-users-membership
-octokit.orgs.publicizeMembership({ org, username });
-
-// https://developer.github.com/v3/orgs/members/#conceal-a-users-membership
-octokit.orgs.concealMembership({ org, username });
-
-// https://developer.github.com/v3/repos/#list-organization-repositories
-octokit.repos.listForOrg({ org, type, sort, direction });
-
-// https://developer.github.com/v3/repos/#create
-octokit.repos.createInOrg({
-  org,
-  name,
-  description,
-  homepage,
-  private,
-  visibility,
-  has_issues,
-  has_projects,
-  has_wiki,
-  is_template,
-  team_id,
-  auto_init,
-  gitignore_template,
-  license_template,
-  allow_squash_merge,
-  allow_merge_commit,
-  allow_rebase_merge,
-  delete_branch_on_merge
-});
-
-// https://developer.github.com/v3/teams/#list-teams
-octokit.teams.list({ org });
-
-// https://developer.github.com/v3/teams/#create-team
-octokit.teams.create({
-  org,
-  name,
-  description,
-  maintainers,
-  repo_names,
-  privacy,
-  permission,
-  parent_team_id
-});
-
-// https://developer.github.com/v3/teams/#get-team-by-name
-octokit.teams.getByName({ org, team_slug });
-
-// https://developer.github.com/v3/teams/#edit-team
-octokit.teams.updateInOrg({
-  org,
-  team_slug,
-  name,
-  description,
-  privacy,
-  permission,
-  parent_team_id
-});
-
-// https://developer.github.com/v3/teams/#delete-team
-octokit.teams.deleteInOrg({ org, team_slug });
-
-// https://developer.github.com/v3/teams/discussions/#list-discussions
-octokit.teams.listDiscussionsInOrg({ org, team_slug, direction });
-
-// https://developer.github.com/v3/teams/discussions/#create-a-discussion
-octokit.teams.createDiscussionInOrg({ org, team_slug, title, body, private });
-
-// https://developer.github.com/v3/teams/discussions/#get-a-single-discussion
-octokit.teams.getDiscussionInOrg({ org, team_slug, discussion_number });
-
-// https://developer.github.com/v3/teams/discussions/#edit-a-discussion
-octokit.teams.updateDiscussionInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  title,
-  body
-});
-
-// https://developer.github.com/v3/teams/discussions/#delete-a-discussion
-octokit.teams.deleteDiscussionInOrg({ org, team_slug, discussion_number });
-
-// https://developer.github.com/v3/teams/discussion_comments/#list-comments
-octokit.teams.listDiscussionCommentsInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  direction
-});
-
-// https://developer.github.com/v3/teams/discussion_comments/#create-a-comment
-octokit.teams.createDiscussionCommentInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  body
-});
-
-// https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment
-octokit.teams.getDiscussionCommentInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  comment_number
-});
-
-// https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment
-octokit.teams.updateDiscussionCommentInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  comment_number,
-  body
-});
-
-// https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment
-octokit.teams.deleteDiscussionCommentInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  comment_number
-});
-
-// https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment
-octokit.reactions.listForTeamDiscussionCommentInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  comment_number,
-  content
-});
-
-// https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment
-octokit.reactions.createForTeamDiscussionCommentInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  comment_number,
-  content
-});
-
-// https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion
-octokit.reactions.listForTeamDiscussionInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  content
-});
-
-// https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion
-octokit.reactions.createForTeamDiscussionInOrg({
-  org,
-  team_slug,
-  discussion_number,
-  content
-});
-
-// https://developer.github.com/v3/teams/members/#list-pending-team-invitations
-octokit.teams.listPendingInvitationsInOrg({ org, team_slug });
-
-// https://developer.github.com/v3/teams/members/#list-team-members
-octokit.teams.listMembersInOrg({ org, team_slug, role });
-
-// https://developer.github.com/v3/teams/members/#get-team-membership
-octokit.teams.getMembershipInOrg({ org, team_slug, username });
-
-// https://developer.github.com/v3/teams/members/#add-or-update-team-membership
-octokit.teams.addOrUpdateMembershipInOrg({ org, team_slug, username, role });
-
-// https://developer.github.com/v3/teams/members/#remove-team-membership
-octokit.teams.removeMembershipInOrg({ org, team_slug, username });
-
-// https://developer.github.com/v3/teams/#list-team-projects
-octokit.teams.listProjectsInOrg({ org, team_slug });
-
-// https://developer.github.com/v3/teams/#review-a-team-project
-octokit.teams.reviewProjectInOrg({ org, team_slug, project_id });
-
-// https://developer.github.com/v3/teams/#add-or-update-team-project
-octokit.teams.addOrUpdateProjectInOrg({
-  org,
-  team_slug,
-  project_id,
-  permission
-});
-
-// https://developer.github.com/v3/teams/#remove-team-project
-octokit.teams.removeProjectInOrg({ org, team_slug, project_id });
-
-// https://developer.github.com/v3/teams/#list-team-repos
-octokit.teams.listReposInOrg({ org, team_slug });
-
-// https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository
-octokit.teams.checkManagesRepoInOrg({ org, team_slug, owner, repo });
-
-// https://developer.github.com/v3/teams/#add-or-update-team-repository
-octokit.teams.addOrUpdateRepoInOrg({ org, team_slug, owner, repo, permission });
-
-// https://developer.github.com/v3/teams/#remove-team-repository
-octokit.teams.removeRepoInOrg({ org, team_slug, owner, repo });
-
-// https://developer.github.com/v3/teams/#list-child-teams
-octokit.teams.listChildInOrg({ org, team_slug });
-
-// https://developer.github.com/v3/projects/cards/#get-a-project-card
-octokit.projects.getCard({ card_id });
-
-// https://developer.github.com/v3/projects/cards/#update-a-project-card
-octokit.projects.updateCard({ card_id, note, archived });
-
-// https://developer.github.com/v3/projects/cards/#delete-a-project-card
-octokit.projects.deleteCard({ card_id });
-
-// https://developer.github.com/v3/projects/cards/#move-a-project-card
-octokit.projects.moveCard({ card_id, position, column_id });
-
-// https://developer.github.com/v3/projects/columns/#get-a-project-column
-octokit.projects.getColumn({ column_id });
-
-// https://developer.github.com/v3/projects/columns/#update-a-project-column
-octokit.projects.updateColumn({ column_id, name });
-
-// https://developer.github.com/v3/projects/columns/#delete-a-project-column
-octokit.projects.deleteColumn({ column_id });
-
-// https://developer.github.com/v3/projects/cards/#list-project-cards
-octokit.projects.listCards({ column_id, archived_state });
-
-// https://developer.github.com/v3/projects/cards/#create-a-project-card
-octokit.projects.createCard({ column_id, note, content_id, content_type });
-
-// https://developer.github.com/v3/projects/columns/#move-a-project-column
-octokit.projects.moveColumn({ column_id, position });
-
-// https://developer.github.com/v3/projects/#get-a-project
-octokit.projects.get({ project_id });
-
-// https://developer.github.com/v3/projects/#update-a-project
-octokit.projects.update({
-  project_id,
-  name,
-  body,
-  state,
-  organization_permission,
-  private
-});
-
-// https://developer.github.com/v3/projects/#delete-a-project
-octokit.projects.delete({ project_id });
-
-// https://developer.github.com/v3/projects/collaborators/#list-collaborators
-octokit.projects.listCollaborators({ project_id, affiliation });
-
-// https://developer.github.com/v3/projects/collaborators/#add-user-as-a-collaborator
-octokit.projects.addCollaborator({ project_id, username, permission });
-
-// https://developer.github.com/v3/projects/collaborators/#remove-user-as-a-collaborator
-octokit.projects.removeCollaborator({ project_id, username });
-
-// https://developer.github.com/v3/projects/collaborators/#review-a-users-permission-level
-octokit.projects.reviewUserPermissionLevel({ project_id, username });
-
-// https://developer.github.com/v3/projects/columns/#list-project-columns
-octokit.projects.listColumns({ project_id });
-
-// https://developer.github.com/v3/projects/columns/#create-a-project-column
-octokit.projects.createColumn({ project_id, name });
-
-// https://developer.github.com/v3/rate_limit/#get-your-current-rate-limit-status
-octokit.rateLimit.get();
-
-// https://developer.github.com/v3/reactions/#delete-a-reaction
-octokit.reactions.delete({ reaction_id });
-
-// https://developer.github.com/v3/repos/#get
-octokit.repos.get({ owner, repo });
-
-// https://developer.github.com/v3/repos/#edit
-octokit.repos.update({
-  owner,
-  repo,
-  name,
-  description,
-  homepage,
-  private,
-  visibility,
-  has_issues,
-  has_projects,
-  has_wiki,
-  is_template,
-  default_branch,
-  allow_squash_merge,
-  allow_merge_commit,
-  allow_rebase_merge,
-  delete_branch_on_merge,
-  archived
-});
-
-// https://developer.github.com/v3/repos/#delete-a-repository
-octokit.repos.delete({ owner, repo });
-
-// https://developer.github.com/v3/actions/artifacts/#get-an-artifact
-octokit.actions.getArtifact({ owner, repo, artifact_id });
-
-// https://developer.github.com/v3/actions/artifacts/#delete-an-artifact
-octokit.actions.deleteArtifact({ owner, repo, artifact_id });
-
-// https://developer.github.com/v3/actions/artifacts/#download-an-artifact
-octokit.actions.downloadArtifact({ owner, repo, artifact_id, archive_format });
-
-// https://developer.github.com/v3/actions/workflow_jobs/#get-a-workflow-job
-octokit.actions.getWorkflowJob({ owner, repo, job_id });
-
-// https://developer.github.com/v3/actions/workflow_jobs/#list-workflow-job-logs
-octokit.actions.listWorkflowJobLogs({ owner, repo, job_id });
-
-// https://developer.github.com/v3/actions/self_hosted_runners/#list-self-hosted-runners-for-a-repository
-octokit.actions.listSelfHostedRunnersForRepo({ owner, repo });
-
-// https://developer.github.com/v3/actions/self_hosted_runners/#list-downloads-for-the-self-hosted-runner-application
-octokit.actions.listDownloadsForSelfHostedRunnerApplication({ owner, repo });
-
-// https://developer.github.com/v3/actions/self_hosted_runners/#create-a-registration-token
-octokit.actions.createRegistrationToken({ owner, repo });
-
-// https://developer.github.com/v3/actions/self_hosted_runners/#create-a-remove-token
-octokit.actions.createRemoveToken({ owner, repo });
-
-// https://developer.github.com/v3/actions/self_hosted_runners/#get-a-self-hosted-runner
-octokit.actions.getSelfHostedRunner({ owner, repo, runner_id });
-
-// https://developer.github.com/v3/actions/self_hosted_runners/#remove-a-self-hosted-runner
-octokit.actions.removeSelfHostedRunner({ owner, repo, runner_id });
-
-// https://developer.github.com/v3/actions/workflow_runs/#list-repository-workflow-runs
-octokit.actions.listRepoWorkflowRuns({
-  owner,
-  repo,
-  actor,
-  branch,
-  event,
-  status
-});
-
-// https://developer.github.com/v3/actions/workflow_runs/#get-a-workflow-run
-octokit.actions.getWorkflowRun({ owner, repo, run_id });
-
-// https://developer.github.com/v3/actions/artifacts/#list-workflow-run-artifacts
-octokit.actions.listWorkflowRunArtifacts({ owner, repo, run_id });
-
-// https://developer.github.com/v3/actions/workflow_runs/#cancel-a-workflow-run
-octokit.actions.cancelWorkflowRun({ owner, repo, run_id });
-
-// https://developer.github.com/v3/actions/workflow_jobs/#list-jobs-for-a-workflow-run
-octokit.actions.listJobsForWorkflowRun({ owner, repo, run_id });
-
-// https://developer.github.com/v3/actions/workflow_runs/#list-workflow-run-logs
-octokit.actions.listWorkflowRunLogs({ owner, repo, run_id });
-
-// https://developer.github.com/v3/actions/workflow_runs/#re-run-a-workflow
-octokit.actions.reRunWorkflow({ owner, repo, run_id });
-
-// https://developer.github.com/v3/actions/secrets/#list-secrets-for-a-repository
-octokit.actions.listSecretsForRepo({ owner, repo });
-
-// https://developer.github.com/v3/actions/secrets/#get-your-public-key
-octokit.actions.getPublicKey({ owner, repo });
-
-// https://developer.github.com/v3/actions/secrets/#get-a-secret
-octokit.actions.getSecret({ owner, repo, name });
-
-// https://developer.github.com/v3/actions/secrets/#create-or-update-a-secret-for-a-repository
-octokit.actions.createOrUpdateSecretForRepo({
-  owner,
-  repo,
-  name,
-  encrypted_value,
-  key_id
-});
-
-// https://developer.github.com/v3/actions/secrets/#delete-a-secret-from-a-repository
-octokit.actions.deleteSecretFromRepo({ owner, repo, name });
-
-// https://developer.github.com/v3/actions/workflows/#list-repository-workflows
-octokit.actions.listRepoWorkflows({ owner, repo });
-
-// https://developer.github.com/v3/actions/workflows/#get-a-workflow
-octokit.actions.getWorkflow({ owner, repo, workflow_id });
-
-// https://developer.github.com/v3/actions/workflow_runs/#list-workflow-runs
-octokit.actions.listWorkflowRuns({
-  owner,
-  repo,
-  workflow_id,
-  actor,
-  branch,
-  event,
-  status
-});
-
-// https://developer.github.com/v3/issues/assignees/#list-assignees
-octokit.issues.listAssignees({ owner, repo });
-
-// https://developer.github.com/v3/issues/assignees/#check-assignee
-octokit.issues.checkAssignee({ owner, repo, assignee });
-
-// https://developer.github.com/v3/repos/#enable-automated-security-fixes
-octokit.repos.enableAutomatedSecurityFixes({ owner, repo });
-
-// https://developer.github.com/v3/repos/#disable-automated-security-fixes
-octokit.repos.disableAutomatedSecurityFixes({ owner, repo });
-
-// https://developer.github.com/v3/repos/branches/#list-branches
-octokit.repos.listBranches({ owner, repo, protected });
-
-// https://developer.github.com/v3/repos/branches/#get-branch
-octokit.repos.getBranch({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#get-branch-protection
-octokit.repos.getBranchProtection({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#update-branch-protection
-octokit.repos.updateBranchProtection({
-  owner,
-  repo,
-  branch,
-  required_status_checks,
-  enforce_admins,
-  required_pull_request_reviews,
-  restrictions,
-  required_linear_history,
-  allow_force_pushes,
-  allow_deletions
-});
-
-// https://developer.github.com/v3/repos/branches/#remove-branch-protection
-octokit.repos.removeBranchProtection({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#get-admin-enforcement-of-protected-branch
-octokit.repos.getProtectedBranchAdminEnforcement({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#add-admin-enforcement-of-protected-branch
-octokit.repos.addProtectedBranchAdminEnforcement({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#remove-admin-enforcement-of-protected-branch
-octokit.repos.removeProtectedBranchAdminEnforcement({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#get-pull-request-review-enforcement-of-protected-branch
-octokit.repos.getProtectedBranchPullRequestReviewEnforcement({
-  owner,
-  repo,
-  branch
-});
-
-// https://developer.github.com/v3/repos/branches/#update-pull-request-review-enforcement-of-protected-branch
-octokit.repos.updateProtectedBranchPullRequestReviewEnforcement({
-  owner,
-  repo,
-  branch,
-  dismissal_restrictions,
-  dismiss_stale_reviews,
-  require_code_owner_reviews,
-  required_approving_review_count
-});
-
-// https://developer.github.com/v3/repos/branches/#remove-pull-request-review-enforcement-of-protected-branch
-octokit.repos.removeProtectedBranchPullRequestReviewEnforcement({
-  owner,
-  repo,
-  branch
-});
-
-// https://developer.github.com/v3/repos/branches/#get-required-signatures-of-protected-branch
-octokit.repos.getProtectedBranchRequiredSignatures({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#add-required-signatures-of-protected-branch
-octokit.repos.addProtectedBranchRequiredSignatures({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#remove-required-signatures-of-protected-branch
-octokit.repos.removeProtectedBranchRequiredSignatures({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#get-required-status-checks-of-protected-branch
-octokit.repos.getProtectedBranchRequiredStatusChecks({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#update-required-status-checks-of-protected-branch
-octokit.repos.updateProtectedBranchRequiredStatusChecks({
-  owner,
-  repo,
-  branch,
-  strict,
-  contexts
-});
-
-// https://developer.github.com/v3/repos/branches/#remove-required-status-checks-of-protected-branch
-octokit.repos.removeProtectedBranchRequiredStatusChecks({
-  owner,
-  repo,
-  branch
-});
-
-// https://developer.github.com/v3/repos/branches/#list-required-status-checks-contexts-of-protected-branch
-octokit.repos.listProtectedBranchRequiredStatusChecksContexts({
-  owner,
-  repo,
-  branch
-});
-
-// https://developer.github.com/v3/repos/branches/#replace-required-status-checks-contexts-of-protected-branch
-octokit.repos.replaceProtectedBranchRequiredStatusChecksContexts({
-  owner,
-  repo,
-  branch,
-  contexts
-});
-
-// https://developer.github.com/v3/repos/branches/#add-required-status-checks-contexts-of-protected-branch
-octokit.repos.addProtectedBranchRequiredStatusChecksContexts({
-  owner,
-  repo,
-  branch,
-  contexts
-});
-
-// https://developer.github.com/v3/repos/branches/#remove-required-status-checks-contexts-of-protected-branch
-octokit.repos.removeProtectedBranchRequiredStatusChecksContexts({
-  owner,
-  repo,
-  branch,
-  contexts
-});
-
-// https://developer.github.com/v3/repos/branches/#get-restrictions-of-protected-branch
-octokit.repos.getProtectedBranchRestrictions({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#remove-restrictions-of-protected-branch
-octokit.repos.removeProtectedBranchRestrictions({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#list-apps-with-access-to-protected-branch
-octokit.repos.getAppsWithAccessToProtectedBranch({ owner, repo, branch });
-
-// DEPRECATED: octokit.repos.listAppsWithAccessToProtectedBranch() has been renamed to octokit.repos.getAppsWithAccessToProtectedBranch()
-octokit.repos.listAppsWithAccessToProtectedBranch({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#replace-app-restrictions-of-protected-branch
-octokit.repos.replaceProtectedBranchAppRestrictions({
-  owner,
-  repo,
-  branch,
-  apps
-});
-
-// https://developer.github.com/v3/repos/branches/#add-app-restrictions-of-protected-branch
-octokit.repos.addProtectedBranchAppRestrictions({ owner, repo, branch, apps });
-
-// https://developer.github.com/v3/repos/branches/#remove-app-restrictions-of-protected-branch
-octokit.repos.removeProtectedBranchAppRestrictions({
-  owner,
-  repo,
-  branch,
-  apps
-});
-
-// https://developer.github.com/v3/repos/branches/#list-teams-with-access-to-protected-branch
-octokit.repos.getTeamsWithAccessToProtectedBranch({ owner, repo, branch });
-
-// DEPRECATED: octokit.repos.listProtectedBranchTeamRestrictions() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch()
-octokit.repos.listProtectedBranchTeamRestrictions({ owner, repo, branch });
-
-// DEPRECATED: octokit.repos.listTeamsWithAccessToProtectedBranch() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch()
-octokit.repos.listTeamsWithAccessToProtectedBranch({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#replace-team-restrictions-of-protected-branch
-octokit.repos.replaceProtectedBranchTeamRestrictions({
-  owner,
-  repo,
-  branch,
-  teams
-});
-
-// https://developer.github.com/v3/repos/branches/#add-team-restrictions-of-protected-branch
-octokit.repos.addProtectedBranchTeamRestrictions({
-  owner,
-  repo,
-  branch,
-  teams
-});
-
-// https://developer.github.com/v3/repos/branches/#remove-team-restrictions-of-protected-branch
-octokit.repos.removeProtectedBranchTeamRestrictions({
-  owner,
-  repo,
-  branch,
-  teams
-});
-
-// https://developer.github.com/v3/repos/branches/#list-users-with-access-to-protected-branch
-octokit.repos.getUsersWithAccessToProtectedBranch({ owner, repo, branch });
-
-// DEPRECATED: octokit.repos.listProtectedBranchUserRestrictions() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch()
-octokit.repos.listProtectedBranchUserRestrictions({ owner, repo, branch });
-
-// DEPRECATED: octokit.repos.listUsersWithAccessToProtectedBranch() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch()
-octokit.repos.listUsersWithAccessToProtectedBranch({ owner, repo, branch });
-
-// https://developer.github.com/v3/repos/branches/#replace-user-restrictions-of-protected-branch
-octokit.repos.replaceProtectedBranchUserRestrictions({
-  owner,
-  repo,
-  branch,
-  users
-});
-
-// https://developer.github.com/v3/repos/branches/#add-user-restrictions-of-protected-branch
-octokit.repos.addProtectedBranchUserRestrictions({
-  owner,
-  repo,
-  branch,
-  users
-});
-
-// https://developer.github.com/v3/repos/branches/#remove-user-restrictions-of-protected-branch
-octokit.repos.removeProtectedBranchUserRestrictions({
-  owner,
-  repo,
-  branch,
-  users
-});
-
-// https://developer.github.com/v3/checks/runs/#create-a-check-run
-octokit.checks.create({
-  owner,
-  repo,
-  name,
-  head_sha,
-  details_url,
-  external_id,
-  status,
-  started_at,
-  conclusion,
-  completed_at,
-  output,
-  actions
-});
-
-// https://developer.github.com/v3/checks/runs/#update-a-check-run
-octokit.checks.update({
-  owner,
-  repo,
-  check_run_id,
-  name,
-  details_url,
-  external_id,
-  started_at,
-  status,
-  conclusion,
-  completed_at,
-  output,
-  actions
-});
-
-// https://developer.github.com/v3/checks/runs/#get-a-single-check-run
-octokit.checks.get({ owner, repo, check_run_id });
-
-// https://developer.github.com/v3/checks/runs/#list-annotations-for-a-check-run
-octokit.checks.listAnnotations({ owner, repo, check_run_id });
-
-// https://developer.github.com/v3/checks/suites/#create-a-check-suite
-octokit.checks.createSuite({ owner, repo, head_sha });
-
-// https://developer.github.com/v3/checks/suites/#set-preferences-for-check-suites-on-a-repository
-octokit.checks.setSuitesPreferences({ owner, repo, auto_trigger_checks });
-
-// https://developer.github.com/v3/checks/suites/#get-a-single-check-suite
-octokit.checks.getSuite({ owner, repo, check_suite_id });
-
-// https://developer.github.com/v3/checks/runs/#list-check-runs-in-a-check-suite
-octokit.checks.listForSuite({
-  owner,
-  repo,
-  check_suite_id,
-  check_name,
-  status,
-  filter
-});
-
-// https://developer.github.com/v3/checks/suites/#rerequest-check-suite
-octokit.checks.rerequestSuite({ owner, repo, check_suite_id });
-
-// https://developer.github.com/v3/repos/collaborators/#list-collaborators
-octokit.repos.listCollaborators({ owner, repo, affiliation });
-
-// https://developer.github.com/v3/repos/collaborators/#check-if-a-user-is-a-collaborator
-octokit.repos.checkCollaborator({ owner, repo, username });
-
-// https://developer.github.com/v3/repos/collaborators/#add-user-as-a-collaborator
-octokit.repos.addCollaborator({ owner, repo, username, permission });
-
-// https://developer.github.com/v3/repos/collaborators/#remove-user-as-a-collaborator
-octokit.repos.removeCollaborator({ owner, repo, username });
-
-// https://developer.github.com/v3/repos/collaborators/#review-a-users-permission-level
-octokit.repos.getCollaboratorPermissionLevel({ owner, repo, username });
-
-// https://developer.github.com/v3/repos/comments/#list-commit-comments-for-a-repository
-octokit.repos.listCommitComments({ owner, repo });
-
-// https://developer.github.com/v3/repos/comments/#get-a-single-commit-comment
-octokit.repos.getCommitComment({ owner, repo, comment_id });
-
-// https://developer.github.com/v3/repos/comments/#update-a-commit-comment
-octokit.repos.updateCommitComment({ owner, repo, comment_id, body });
-
-// https://developer.github.com/v3/repos/comments/#delete-a-commit-comment
-octokit.repos.deleteCommitComment({ owner, repo, comment_id });
-
-// https://developer.github.com/v3/reactions/#list-reactions-for-a-commit-comment
-octokit.reactions.listForCommitComment({ owner, repo, comment_id, content });
-
-// https://developer.github.com/v3/reactions/#create-reaction-for-a-commit-comment
-octokit.reactions.createForCommitComment({ owner, repo, comment_id, content });
-
-// https://developer.github.com/v3/repos/commits/#list-commits-on-a-repository
-octokit.repos.listCommits({ owner, repo, sha, path, author, since, until });
-
-// https://developer.github.com/v3/repos/commits/#list-branches-for-head-commit
-octokit.repos.listBranchesForHeadCommit({ owner, repo, commit_sha });
-
-// https://developer.github.com/v3/repos/comments/#list-comments-for-a-single-commit
-octokit.repos.listCommentsForCommit({ owner, repo, commit_sha });
-
-// https://developer.github.com/v3/repos/comments/#create-a-commit-comment
-octokit.repos.createCommitComment({
-  owner,
-  repo,
-  commit_sha,
-  body,
-  path,
-  position,
-  line
-});
-
-// https://developer.github.com/v3/repos/commits/#list-pull-requests-associated-with-commit
-octokit.repos.listPullRequestsAssociatedWithCommit({ owner, repo, commit_sha });
-
-// https://developer.github.com/v3/repos/commits/#get-a-single-commit
-octokit.repos.getCommit({ owner, repo, ref });
-
-// https://developer.github.com/v3/checks/runs/#list-check-runs-for-a-specific-ref
-octokit.checks.listForRef({ owner, repo, ref, check_name, status, filter });
-
-// https://developer.github.com/v3/checks/suites/#list-check-suites-for-a-specific-ref
-octokit.checks.listSuitesForRef({ owner, repo, ref, app_id, check_name });
-
-// https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-ref
-octokit.repos.getCombinedStatusForRef({ owner, repo, ref });
-
-// https://developer.github.com/v3/repos/statuses/#list-statuses-for-a-specific-ref
-octokit.repos.listStatusesForRef({ owner, repo, ref });
-
-// https://developer.github.com/v3/codes_of_conduct/#get-the-contents-of-a-repositorys-code-of-conduct
-octokit.codesOfConduct.getForRepo({ owner, repo });
-
-// https://developer.github.com/v3/repos/community/#retrieve-community-profile-metrics
-octokit.repos.retrieveCommunityProfileMetrics({ owner, repo });
-
-// https://developer.github.com/v3/repos/commits/#compare-two-commits
-octokit.repos.compareCommits({ owner, repo, base, head });
-
-// https://developer.github.com/v3/repos/contents/#get-contents
-octokit.repos.getContents({ owner, repo, path, ref });
-
-// https://developer.github.com/v3/repos/contents/#create-or-update-a-file
-octokit.repos.createOrUpdateFile({
-  owner,
-  repo,
-  path,
-  message,
-  content,
-  sha,
-  branch,
-  committer,
-  author
-});
-
-// DEPRECATED: octokit.repos.createFile() has been renamed to octokit.repos.createOrUpdateFile()
-octokit.repos.createFile({
-  owner,
-  repo,
-  path,
-  message,
-  content,
-  sha,
-  branch,
-  committer,
-  author
-});
-
-// DEPRECATED: octokit.repos.updateFile() has been renamed to octokit.repos.createOrUpdateFile()
-octokit.repos.updateFile({
-  owner,
-  repo,
-  path,
-  message,
-  content,
-  sha,
-  branch,
-  committer,
-  author
-});
-
-// https://developer.github.com/v3/repos/contents/#delete-a-file
-octokit.repos.deleteFile({
-  owner,
-  repo,
-  path,
-  message,
-  sha,
-  branch,
-  committer,
-  author
-});
-
-// https://developer.github.com/v3/repos/#list-contributors
-octokit.repos.listContributors({ owner, repo, anon });
-
-// https://developer.github.com/v3/repos/deployments/#list-deployments
-octokit.repos.listDeployments({ owner, repo, sha, ref, task, environment });
-
-// https://developer.github.com/v3/repos/deployments/#create-a-deployment
-octokit.repos.createDeployment({
-  owner,
-  repo,
-  ref,
-  task,
-  auto_merge,
-  required_contexts,
-  payload,
-  environment,
-  description,
-  transient_environment,
-  production_environment
-});
-
-// https://developer.github.com/v3/repos/deployments/#get-a-single-deployment
-octokit.repos.getDeployment({ owner, repo, deployment_id });
-
-// https://developer.github.com/v3/repos/deployments/#list-deployment-statuses
-octokit.repos.listDeploymentStatuses({ owner, repo, deployment_id });
-
-// https://developer.github.com/v3/repos/deployments/#create-a-deployment-status
-octokit.repos.createDeploymentStatus({
-  owner,
-  repo,
-  deployment_id,
-  state,
-  target_url,
-  log_url,
-  description,
-  environment,
-  environment_url,
-  auto_inactive
-});
-
-// https://developer.github.com/v3/repos/deployments/#get-a-single-deployment-status
-octokit.repos.getDeploymentStatus({ owner, repo, deployment_id, status_id });
-
-// https://developer.github.com/v3/repos/#create-a-repository-dispatch-event
-octokit.repos.createDispatchEvent({ owner, repo, event_type, client_payload });
-
-// https://developer.github.com/v3/repos/downloads/#list-downloads-for-a-repository
-octokit.repos.listDownloads({ owner, repo });
-
-// https://developer.github.com/v3/repos/downloads/#get-a-single-download
-octokit.repos.getDownload({ owner, repo, download_id });
-
-// https://developer.github.com/v3/repos/downloads/#delete-a-download
-octokit.repos.deleteDownload({ owner, repo, download_id });
-
-// https://developer.github.com/v3/activity/events/#list-repository-events
-octokit.activity.listRepoEvents({ owner, repo });
-
-// https://developer.github.com/v3/repos/forks/#list-forks
-octokit.repos.listForks({ owner, repo, sort });
-
-// https://developer.github.com/v3/repos/forks/#create-a-fork
-octokit.repos.createFork({ owner, repo, organization });
-
-// https://developer.github.com/v3/git/blobs/#create-a-blob
-octokit.git.createBlob({ owner, repo, content, encoding });
-
-// https://developer.github.com/v3/git/blobs/#get-a-blob
-octokit.git.getBlob({ owner, repo, file_sha });
-
-// https://developer.github.com/v3/git/commits/#create-a-commit
-octokit.git.createCommit({
-  owner,
-  repo,
-  message,
-  tree,
-  parents,
-  author,
-  committer,
-  signature
-});
-
-// https://developer.github.com/v3/git/commits/#get-a-commit
-octokit.git.getCommit({ owner, repo, commit_sha });
-
-// https://developer.github.com/v3/git/refs/#list-matching-references
-octokit.git.listMatchingRefs({ owner, repo, ref });
-
-// https://developer.github.com/v3/git/refs/#get-a-single-reference
-octokit.git.getRef({ owner, repo, ref });
-
-// https://developer.github.com/v3/git/refs/#create-a-reference
-octokit.git.createRef({ owner, repo, ref, sha });
-
-// https://developer.github.com/v3/git/refs/#update-a-reference
-octokit.git.updateRef({ owner, repo, ref, sha, force });
-
-// https://developer.github.com/v3/git/refs/#delete-a-reference
-octokit.git.deleteRef({ owner, repo, ref });
-
-// https://developer.github.com/v3/git/tags/#create-a-tag-object
-octokit.git.createTag({ owner, repo, tag, message, object, type, tagger });
-
-// https://developer.github.com/v3/git/tags/#get-a-tag
-octokit.git.getTag({ owner, repo, tag_sha });
-
-// https://developer.github.com/v3/git/trees/#create-a-tree
-octokit.git.createTree({ owner, repo, tree, base_tree });
-
-// https://developer.github.com/v3/git/trees/#get-a-tree
-octokit.git.getTree({ owner, repo, tree_sha, recursive });
-
-// https://developer.github.com/v3/repos/hooks/#list-hooks
-octokit.repos.listHooks({ owner, repo });
-
-// https://developer.github.com/v3/repos/hooks/#create-a-hook
-octokit.repos.createHook({ owner, repo, name, config, events, active });
-
-// https://developer.github.com/v3/repos/hooks/#get-single-hook
-octokit.repos.getHook({ owner, repo, hook_id });
-
-// https://developer.github.com/v3/repos/hooks/#edit-a-hook
-octokit.repos.updateHook({
-  owner,
-  repo,
-  hook_id,
-  config,
-  events,
-  add_events,
-  remove_events,
-  active
-});
-
-// https://developer.github.com/v3/repos/hooks/#delete-a-hook
-octokit.repos.deleteHook({ owner, repo, hook_id });
-
-// https://developer.github.com/v3/repos/hooks/#ping-a-hook
-octokit.repos.pingHook({ owner, repo, hook_id });
-
-// https://developer.github.com/v3/repos/hooks/#test-a-push-hook
-octokit.repos.testPushHook({ owner, repo, hook_id });
-
-// https://developer.github.com/v3/migrations/source_imports/#start-an-import
-octokit.migrations.startImport({
-  owner,
-  repo,
-  vcs_url,
-  vcs,
-  vcs_username,
-  vcs_password,
-  tfvc_project
-});
-
-// https://developer.github.com/v3/migrations/source_imports/#get-import-progress
-octokit.migrations.getImportProgress({ owner, repo });
-
-// https://developer.github.com/v3/migrations/source_imports/#update-existing-import
-octokit.migrations.updateImport({ owner, repo, vcs_username, vcs_password });
-
-// https://developer.github.com/v3/migrations/source_imports/#cancel-an-import
-octokit.migrations.cancelImport({ owner, repo });
-
-// https://developer.github.com/v3/migrations/source_imports/#get-commit-authors
-octokit.migrations.getCommitAuthors({ owner, repo, since });
-
-// https://developer.github.com/v3/migrations/source_imports/#map-a-commit-author
-octokit.migrations.mapCommitAuthor({ owner, repo, author_id, email, name });
-
-// https://developer.github.com/v3/migrations/source_imports/#get-large-files
-octokit.migrations.getLargeFiles({ owner, repo });
-
-// https://developer.github.com/v3/migrations/source_imports/#set-git-lfs-preference
-octokit.migrations.setLfsPreference({ owner, repo, use_lfs });
-
-// https://developer.github.com/v3/apps/#get-a-repository-installation
-octokit.apps.getRepoInstallation({ owner, repo });
-
-// DEPRECATED: octokit.apps.findRepoInstallation() has been renamed to octokit.apps.getRepoInstallation()
-octokit.apps.findRepoInstallation({ owner, repo });
-
-// https://developer.github.com/v3/interactions/repos/#get-interaction-restrictions-for-a-repository
-octokit.interactions.getRestrictionsForRepo({ owner, repo });
-
-// https://developer.github.com/v3/interactions/repos/#add-or-update-interaction-restrictions-for-a-repository
-octokit.interactions.addOrUpdateRestrictionsForRepo({ owner, repo, limit });
-
-// https://developer.github.com/v3/interactions/repos/#remove-interaction-restrictions-for-a-repository
-octokit.interactions.removeRestrictionsForRepo({ owner, repo });
-
-// https://developer.github.com/v3/repos/invitations/#list-invitations-for-a-repository
-octokit.repos.listInvitations({ owner, repo });
-
-// https://developer.github.com/v3/repos/invitations/#delete-a-repository-invitation
-octokit.repos.deleteInvitation({ owner, repo, invitation_id });
-
-// https://developer.github.com/v3/repos/invitations/#update-a-repository-invitation
-octokit.repos.updateInvitation({ owner, repo, invitation_id, permissions });
-
-// https://developer.github.com/v3/issues/#list-issues-for-a-repository
-octokit.issues.listForRepo({
-  owner,
-  repo,
-  milestone,
-  state,
-  assignee,
-  creator,
-  mentioned,
-  labels,
-  sort,
-  direction,
-  since
-});
-
-// https://developer.github.com/v3/issues/#create-an-issue
-octokit.issues.create({
-  owner,
-  repo,
-  title,
-  body,
-  assignee,
-  milestone,
-  labels,
-  assignees
-});
-
-// https://developer.github.com/v3/issues/comments/#list-comments-in-a-repository
-octokit.issues.listCommentsForRepo({ owner, repo, sort, direction, since });
-
-// https://developer.github.com/v3/issues/comments/#get-a-single-comment
-octokit.issues.getComment({ owner, repo, comment_id });
-
-// https://developer.github.com/v3/issues/comments/#edit-a-comment
-octokit.issues.updateComment({ owner, repo, comment_id, body });
-
-// https://developer.github.com/v3/issues/comments/#delete-a-comment
-octokit.issues.deleteComment({ owner, repo, comment_id });
-
-// https://developer.github.com/v3/reactions/#list-reactions-for-an-issue-comment
-octokit.reactions.listForIssueComment({ owner, repo, comment_id, content });
-
-// https://developer.github.com/v3/reactions/#create-reaction-for-an-issue-comment
-octokit.reactions.createForIssueComment({ owner, repo, comment_id, content });
-
-// https://developer.github.com/v3/issues/events/#list-events-for-a-repository
-octokit.issues.listEventsForRepo({ owner, repo });
-
-// https://developer.github.com/v3/issues/events/#get-a-single-event
-octokit.issues.getEvent({ owner, repo, event_id });
-
-// https://developer.github.com/v3/issues/#get-a-single-issue
-octokit.issues.get({ owner, repo, issue_number });
-
-// https://developer.github.com/v3/issues/#edit-an-issue
-octokit.issues.update({
-  owner,
-  repo,
-  issue_number,
-  title,
-  body,
-  assignee,
-  state,
-  milestone,
-  labels,
-  assignees
-});
-
-// https://developer.github.com/v3/issues/assignees/#add-assignees-to-an-issue
-octokit.issues.addAssignees({ owner, repo, issue_number, assignees });
-
-// https://developer.github.com/v3/issues/assignees/#remove-assignees-from-an-issue
-octokit.issues.removeAssignees({ owner, repo, issue_number, assignees });
-
-// https://developer.github.com/v3/issues/comments/#list-comments-on-an-issue
-octokit.issues.listComments({ owner, repo, issue_number, since });
-
-// https://developer.github.com/v3/issues/comments/#create-a-comment
-octokit.issues.createComment({ owner, repo, issue_number, body });
-
-// https://developer.github.com/v3/issues/events/#list-events-for-an-issue
-octokit.issues.listEvents({ owner, repo, issue_number });
-
-// https://developer.github.com/v3/issues/labels/#list-labels-on-an-issue
-octokit.issues.listLabelsOnIssue({ owner, repo, issue_number });
-
-// https://developer.github.com/v3/issues/labels/#add-labels-to-an-issue
-octokit.issues.addLabels({ owner, repo, issue_number, labels });
-
-// https://developer.github.com/v3/issues/labels/#replace-all-labels-for-an-issue
-octokit.issues.replaceLabels({ owner, repo, issue_number, labels });
-
-// https://developer.github.com/v3/issues/labels/#remove-all-labels-from-an-issue
-octokit.issues.removeLabels({ owner, repo, issue_number });
-
-// https://developer.github.com/v3/issues/labels/#remove-a-label-from-an-issue
-octokit.issues.removeLabel({ owner, repo, issue_number, name });
-
-// https://developer.github.com/v3/issues/#lock-an-issue
-octokit.issues.lock({ owner, repo, issue_number, lock_reason });
-
-// https://developer.github.com/v3/issues/#unlock-an-issue
-octokit.issues.unlock({ owner, repo, issue_number });
-
-// https://developer.github.com/v3/reactions/#list-reactions-for-an-issue
-octokit.reactions.listForIssue({ owner, repo, issue_number, content });
-
-// https://developer.github.com/v3/reactions/#create-reaction-for-an-issue
-octokit.reactions.createForIssue({ owner, repo, issue_number, content });
-
-// https://developer.github.com/v3/issues/timeline/#list-events-for-an-issue
-octokit.issues.listEventsForTimeline({ owner, repo, issue_number });
-
-// https://developer.github.com/v3/repos/keys/#list-deploy-keys
-octokit.repos.listDeployKeys({ owner, repo });
-
-// https://developer.github.com/v3/repos/keys/#add-a-new-deploy-key
-octokit.repos.addDeployKey({ owner, repo, title, key, read_only });
-
-// https://developer.github.com/v3/repos/keys/#get-a-deploy-key
-octokit.repos.getDeployKey({ owner, repo, key_id });
-
-// https://developer.github.com/v3/repos/keys/#remove-a-deploy-key
-octokit.repos.removeDeployKey({ owner, repo, key_id });
-
-// https://developer.github.com/v3/issues/labels/#list-all-labels-for-this-repository
-octokit.issues.listLabelsForRepo({ owner, repo });
-
-// https://developer.github.com/v3/issues/labels/#create-a-label
-octokit.issues.createLabel({ owner, repo, name, color, description });
-
-// https://developer.github.com/v3/issues/labels/#get-a-single-label
-octokit.issues.getLabel({ owner, repo, name });
-
-// https://developer.github.com/v3/issues/labels/#update-a-label
-octokit.issues.updateLabel({ owner, repo, name, new_name, color, description });
-
-// https://developer.github.com/v3/issues/labels/#delete-a-label
-octokit.issues.deleteLabel({ owner, repo, name });
-
-// https://developer.github.com/v3/repos/#list-languages
-octokit.repos.listLanguages({ owner, repo });
-
-// https://developer.github.com/v3/licenses/#get-the-contents-of-a-repositorys-license
-octokit.licenses.getForRepo({ owner, repo });
-
-// https://developer.github.com/v3/repos/merging/#perform-a-merge
-octokit.repos.merge({ owner, repo, base, head, commit_message });
-
-// https://developer.github.com/v3/issues/milestones/#list-milestones-for-a-repository
-octokit.issues.listMilestonesForRepo({ owner, repo, state, sort, direction });
-
-// https://developer.github.com/v3/issues/milestones/#create-a-milestone
-octokit.issues.createMilestone({
-  owner,
-  repo,
-  title,
-  state,
-  description,
-  due_on
-});
-
-// https://developer.github.com/v3/issues/milestones/#get-a-single-milestone
-octokit.issues.getMilestone({ owner, repo, milestone_number });
-
-// https://developer.github.com/v3/issues/milestones/#update-a-milestone
-octokit.issues.updateMilestone({
-  owner,
-  repo,
-  milestone_number,
-  title,
-  state,
-  description,
-  due_on
-});
-
-// https://developer.github.com/v3/issues/milestones/#delete-a-milestone
-octokit.issues.deleteMilestone({ owner, repo, milestone_number });
-
-// https://developer.github.com/v3/issues/labels/#get-labels-for-every-issue-in-a-milestone
-octokit.issues.listLabelsForMilestone({ owner, repo, milestone_number });
-
-// https://developer.github.com/v3/activity/notifications/#list-your-notifications-in-a-repository
-octokit.activity.listNotificationsForRepo({
-  owner,
-  repo,
-  all,
-  participating,
-  since,
-  before
-});
-
-// https://developer.github.com/v3/activity/notifications/#mark-notifications-as-read-in-a-repository
-octokit.activity.markNotificationsAsReadForRepo({ owner, repo, last_read_at });
-
-// https://developer.github.com/v3/repos/pages/#get-information-about-a-pages-site
-octokit.repos.getPages({ owner, repo });
-
-// https://developer.github.com/v3/repos/pages/#enable-a-pages-site
-octokit.repos.enablePagesSite({ owner, repo, source });
-
-// https://developer.github.com/v3/repos/pages/#disable-a-pages-site
-octokit.repos.disablePagesSite({ owner, repo });
-
-// https://developer.github.com/v3/repos/pages/#update-information-about-a-pages-site
-octokit.repos.updateInformationAboutPagesSite({ owner, repo, cname, source });
-
-// https://developer.github.com/v3/repos/pages/#request-a-page-build
-octokit.repos.requestPageBuild({ owner, repo });
-
-// https://developer.github.com/v3/repos/pages/#list-pages-builds
-octokit.repos.listPagesBuilds({ owner, repo });
-
-// https://developer.github.com/v3/repos/pages/#get-latest-pages-build
-octokit.repos.getLatestPagesBuild({ owner, repo });
-
-// https://developer.github.com/v3/repos/pages/#get-a-specific-pages-build
-octokit.repos.getPagesBuild({ owner, repo, build_id });
-
-// https://developer.github.com/v3/projects/#list-repository-projects
-octokit.projects.listForRepo({ owner, repo, state });
-
-// https://developer.github.com/v3/projects/#create-a-repository-project
-octokit.projects.createForRepo({ owner, repo, name, body });
-
-// https://developer.github.com/v3/pulls/#list-pull-requests
-octokit.pulls.list({ owner, repo, state, head, base, sort, direction });
-
-// https://developer.github.com/v3/pulls/#create-a-pull-request
-octokit.pulls.create({
-  owner,
-  repo,
-  title,
-  head,
-  base,
-  body,
-  maintainer_can_modify,
-  draft
-});
-
-// https://developer.github.com/v3/pulls/comments/#list-comments-in-a-repository
-octokit.pulls.listCommentsForRepo({ owner, repo, sort, direction, since });
-
-// https://developer.github.com/v3/pulls/comments/#get-a-single-comment
-octokit.pulls.getComment({ owner, repo, comment_id });
-
-// https://developer.github.com/v3/pulls/comments/#edit-a-comment
-octokit.pulls.updateComment({ owner, repo, comment_id, body });
-
-// https://developer.github.com/v3/pulls/comments/#delete-a-comment
-octokit.pulls.deleteComment({ owner, repo, comment_id });
-
-// https://developer.github.com/v3/reactions/#list-reactions-for-a-pull-request-review-comment
-octokit.reactions.listForPullRequestReviewComment({
-  owner,
-  repo,
-  comment_id,
-  content
-});
-
-// https://developer.github.com/v3/reactions/#create-reaction-for-a-pull-request-review-comment
-octokit.reactions.createForPullRequestReviewComment({
-  owner,
-  repo,
-  comment_id,
-  content
-});
-
-// https://developer.github.com/v3/pulls/#get-a-single-pull-request
-octokit.pulls.get({ owner, repo, pull_number });
-
-// https://developer.github.com/v3/pulls/#update-a-pull-request
-octokit.pulls.update({
-  owner,
-  repo,
-  pull_number,
-  title,
-  body,
-  state,
-  base,
-  maintainer_can_modify
-});
-
-// https://developer.github.com/v3/pulls/comments/#list-comments-on-a-pull-request
-octokit.pulls.listComments({
-  owner,
-  repo,
-  pull_number,
-  sort,
-  direction,
-  since
-});
-
-// https://developer.github.com/v3/pulls/comments/#create-a-comment
-octokit.pulls.createComment({
-  owner,
-  repo,
-  pull_number,
-  body,
-  commit_id,
-  path,
-  position,
-  side,
-  line,
-  start_line,
-  start_side,
-  in_reply_to
-});
-
-// DEPRECATED: octokit.pulls.createCommentReply() has been renamed to octokit.pulls.createComment()
-octokit.pulls.createCommentReply({
-  owner,
-  repo,
-  pull_number,
-  body,
-  commit_id,
-  path,
-  position,
-  side,
-  line,
-  start_line,
-  start_side,
-  in_reply_to
-});
-
-// https://developer.github.com/v3/pulls/comments/#create-a-review-comment-reply
-octokit.pulls.createReviewCommentReply({
-  owner,
-  repo,
-  pull_number,
-  comment_id,
-  body
-});
-
-// https://developer.github.com/v3/pulls/#list-commits-on-a-pull-request
-octokit.pulls.listCommits({ owner, repo, pull_number });
-
-// https://developer.github.com/v3/pulls/#list-pull-requests-files
-octokit.pulls.listFiles({ owner, repo, pull_number });
-
-// https://developer.github.com/v3/pulls/#get-if-a-pull-request-has-been-merged
-octokit.pulls.checkIfMerged({ owner, repo, pull_number });
-
-// https://developer.github.com/v3/pulls/#merge-a-pull-request-merge-button
-octokit.pulls.merge({
-  owner,
-  repo,
-  pull_number,
-  commit_title,
-  commit_message,
-  sha,
-  merge_method
-});
-
-// https://developer.github.com/v3/pulls/review_requests/#list-review-requests
-octokit.pulls.listReviewRequests({ owner, repo, pull_number });
-
-// https://developer.github.com/v3/pulls/review_requests/#create-a-review-request
-octokit.pulls.createReviewRequest({
-  owner,
-  repo,
-  pull_number,
-  reviewers,
-  team_reviewers
-});
-
-// https://developer.github.com/v3/pulls/review_requests/#delete-a-review-request
-octokit.pulls.deleteReviewRequest({
-  owner,
-  repo,
-  pull_number,
-  reviewers,
-  team_reviewers
-});
-
-// https://developer.github.com/v3/pulls/reviews/#list-reviews-on-a-pull-request
-octokit.pulls.listReviews({ owner, repo, pull_number });
-
-// https://developer.github.com/v3/pulls/reviews/#create-a-pull-request-review
-octokit.pulls.createReview({
-  owner,
-  repo,
-  pull_number,
-  commit_id,
-  body,
-  event,
-  comments
-});
-
-// https://developer.github.com/v3/pulls/reviews/#get-a-single-review
-octokit.pulls.getReview({ owner, repo, pull_number, review_id });
-
-// https://developer.github.com/v3/pulls/reviews/#delete-a-pending-review
-octokit.pulls.deletePendingReview({ owner, repo, pull_number, review_id });
-
-// https://developer.github.com/v3/pulls/reviews/#update-a-pull-request-review
-octokit.pulls.updateReview({ owner, repo, pull_number, review_id, body });
-
-// https://developer.github.com/v3/pulls/reviews/#get-comments-for-a-single-review
-octokit.pulls.getCommentsForReview({ owner, repo, pull_number, review_id });
-
-// https://developer.github.com/v3/pulls/reviews/#dismiss-a-pull-request-review
-octokit.pulls.dismissReview({ owner, repo, pull_number, review_id, message });
-
-// https://developer.github.com/v3/pulls/reviews/#submit-a-pull-request-review
-octokit.pulls.submitReview({
-  owner,
-  repo,
-  pull_number,
-  review_id,
-  body,
-  event
-});
-
-// https://developer.github.com/v3/pulls/#update-a-pull-request-branch
-octokit.pulls.updateBranch({ owner, repo, pull_number, expected_head_sha });
-
-// https://developer.github.com/v3/repos/contents/#get-the-readme
-octokit.repos.getReadme({ owner, repo, ref });
-
-// https://developer.github.com/v3/repos/releases/#list-releases-for-a-repository
-octokit.repos.listReleases({ owner, repo });
-
-// https://developer.github.com/v3/repos/releases/#create-a-release
-octokit.repos.createRelease({
-  owner,
-  repo,
-  tag_name,
-  target_commitish,
-  name,
-  body,
-  draft,
-  prerelease
-});
-
-// https://developer.github.com/v3/repos/releases/#get-a-single-release-asset
-octokit.repos.getReleaseAsset({ owner, repo, asset_id });
-
-// https://developer.github.com/v3/repos/releases/#edit-a-release-asset
-octokit.repos.updateReleaseAsset({ owner, repo, asset_id, name, label });
-
-// https://developer.github.com/v3/repos/releases/#delete-a-release-asset
-octokit.repos.deleteReleaseAsset({ owner, repo, asset_id });
-
-// https://developer.github.com/v3/repos/releases/#get-the-latest-release
-octokit.repos.getLatestRelease({ owner, repo });
-
-// https://developer.github.com/v3/repos/releases/#get-a-release-by-tag-name
-octokit.repos.getReleaseByTag({ owner, repo, tag });
-
-// https://developer.github.com/v3/repos/releases/#get-a-single-release
-octokit.repos.getRelease({ owner, repo, release_id });
-
-// https://developer.github.com/v3/repos/releases/#edit-a-release
-octokit.repos.updateRelease({
-  owner,
-  repo,
-  release_id,
-  tag_name,
-  target_commitish,
-  name,
-  body,
-  draft,
-  prerelease
-});
-
-// https://developer.github.com/v3/repos/releases/#delete-a-release
-octokit.repos.deleteRelease({ owner, repo, release_id });
-
-// https://developer.github.com/v3/repos/releases/#list-assets-for-a-release
-octokit.repos.listAssetsForRelease({ owner, repo, release_id });
-
-// https://developer.github.com/v3/repos/releases/#upload-a-release-asset
-octokit.repos.uploadReleaseAsset({
-  owner,
-  repo,
-  release_id,
-  name,
-  label,
-  data,
-  origin
-});
-
-// https://developer.github.com/v3/activity/starring/#list-stargazers
-octokit.activity.listStargazersForRepo({ owner, repo });
-
-// https://developer.github.com/v3/repos/statistics/#get-the-number-of-additions-and-deletions-per-week
-octokit.repos.getCodeFrequencyStats({ owner, repo });
-
-// https://developer.github.com/v3/repos/statistics/#get-the-last-year-of-commit-activity-data
-octokit.repos.getCommitActivityStats({ owner, repo });
-
-// https://developer.github.com/v3/repos/statistics/#get-contributors-list-with-additions-deletions-and-commit-counts
-octokit.repos.getContributorsStats({ owner, repo });
-
-// https://developer.github.com/v3/repos/statistics/#get-the-weekly-commit-count-for-the-repository-owner-and-everyone-else
-octokit.repos.getParticipationStats({ owner, repo });
-
-// https://developer.github.com/v3/repos/statistics/#get-the-number-of-commits-per-hour-in-each-day
-octokit.repos.getPunchCardStats({ owner, repo });
-
-// https://developer.github.com/v3/repos/statuses/#create-a-status
-octokit.repos.createStatus({
-  owner,
-  repo,
-  sha,
-  state,
-  target_url,
-  description,
-  context
-});
-
-// https://developer.github.com/v3/activity/watching/#list-watchers
-octokit.activity.listWatchersForRepo({ owner, repo });
-
-// https://developer.github.com/v3/activity/watching/#get-a-repository-subscription
-octokit.activity.getRepoSubscription({ owner, repo });
-
-// https://developer.github.com/v3/activity/watching/#set-a-repository-subscription
-octokit.activity.setRepoSubscription({ owner, repo, subscribed, ignored });
-
-// https://developer.github.com/v3/activity/watching/#delete-a-repository-subscription
-octokit.activity.deleteRepoSubscription({ owner, repo });
-
-// https://developer.github.com/v3/repos/#list-tags
-octokit.repos.listTags({ owner, repo });
-
-// https://developer.github.com/v3/repos/#list-teams
-octokit.repos.listTeams({ owner, repo });
-
-// https://developer.github.com/v3/repos/#list-all-topics-for-a-repository
-octokit.repos.listTopics({ owner, repo });
-
-// https://developer.github.com/v3/repos/#replace-all-topics-for-a-repository
-octokit.repos.replaceTopics({ owner, repo, names });
-
-// https://developer.github.com/v3/repos/traffic/#clones
-octokit.repos.getClones({ owner, repo, per });
-
-// https://developer.github.com/v3/repos/traffic/#list-paths
-octokit.repos.getTopPaths({ owner, repo });
-
-// https://developer.github.com/v3/repos/traffic/#list-referrers
-octokit.repos.getTopReferrers({ owner, repo });
-
-// https://developer.github.com/v3/repos/traffic/#views
-octokit.repos.getViews({ owner, repo, per });
-
-// https://developer.github.com/v3/repos/#transfer-a-repository
-octokit.repos.transfer({ owner, repo, new_owner, team_ids });
-
-// https://developer.github.com/v3/repos/#check-if-vulnerability-alerts-are-enabled-for-a-repository
-octokit.repos.checkVulnerabilityAlerts({ owner, repo });
-
-// https://developer.github.com/v3/repos/#enable-vulnerability-alerts
-octokit.repos.enableVulnerabilityAlerts({ owner, repo });
-
-// https://developer.github.com/v3/repos/#disable-vulnerability-alerts
-octokit.repos.disableVulnerabilityAlerts({ owner, repo });
-
-// https://developer.github.com/v3/repos/contents/#get-archive-link
-octokit.repos.getArchiveLink({ owner, repo, archive_format, ref });
-
-// https://developer.github.com/v3/repos/#create-repository-using-a-repository-template
-octokit.repos.createUsingTemplate({
-  template_owner,
-  template_repo,
-  owner,
-  name,
-  description,
-  private
-});
-
-// https://developer.github.com/v3/repos/#list-all-public-repositories
-octokit.repos.listPublic({ since });
-
-// https://developer.github.com/v3/search/#search-code
-octokit.search.code({ q, sort, order });
-
-// https://developer.github.com/v3/search/#search-commits
-octokit.search.commits({ q, sort, order });
-
-// https://developer.github.com/v3/search/#search-issues-and-pull-requests
-octokit.search.issuesAndPullRequests({ q, sort, order });
-
-// DEPRECATED: octokit.search.issues() has been renamed to octokit.search.issuesAndPullRequests()
-octokit.search.issues({ q, sort, order });
-
-// https://developer.github.com/v3/search/#search-labels
-octokit.search.labels({ repository_id, q, sort, order });
-
-// https://developer.github.com/v3/search/#search-repositories
-octokit.search.repos({ q, sort, order });
-
-// https://developer.github.com/v3/search/#search-topics
-octokit.search.topics({ q });
-
-// https://developer.github.com/v3/search/#search-users
-octokit.search.users({ q, sort, order });
-
-// https://developer.github.com/v3/teams/#get-team-legacy
-octokit.teams.getLegacy({ team_id });
-
-// DEPRECATED: octokit.teams.get() has been renamed to octokit.teams.getLegacy()
-octokit.teams.get({ team_id });
-
-// https://developer.github.com/v3/teams/#edit-team-legacy
-octokit.teams.updateLegacy({
-  team_id,
-  name,
-  description,
-  privacy,
-  permission,
-  parent_team_id
-});
-
-// DEPRECATED: octokit.teams.update() has been renamed to octokit.teams.updateLegacy()
-octokit.teams.update({
-  team_id,
-  name,
-  description,
-  privacy,
-  permission,
-  parent_team_id
-});
-
-// https://developer.github.com/v3/teams/#delete-team-legacy
-octokit.teams.deleteLegacy({ team_id });
-
-// DEPRECATED: octokit.teams.delete() has been renamed to octokit.teams.deleteLegacy()
-octokit.teams.delete({ team_id });
-
-// https://developer.github.com/v3/teams/discussions/#list-discussions-legacy
-octokit.teams.listDiscussionsLegacy({ team_id, direction });
-
-// DEPRECATED: octokit.teams.listDiscussions() has been renamed to octokit.teams.listDiscussionsLegacy()
-octokit.teams.listDiscussions({ team_id, direction });
-
-// https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy
-octokit.teams.createDiscussionLegacy({ team_id, title, body, private });
-
-// DEPRECATED: octokit.teams.createDiscussion() has been renamed to octokit.teams.createDiscussionLegacy()
-octokit.teams.createDiscussion({ team_id, title, body, private });
-
-// https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy
-octokit.teams.getDiscussionLegacy({ team_id, discussion_number });
-
-// DEPRECATED: octokit.teams.getDiscussion() has been renamed to octokit.teams.getDiscussionLegacy()
-octokit.teams.getDiscussion({ team_id, discussion_number });
-
-// https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy
-octokit.teams.updateDiscussionLegacy({
-  team_id,
-  discussion_number,
-  title,
-  body
-});
-
-// DEPRECATED: octokit.teams.updateDiscussion() has been renamed to octokit.teams.updateDiscussionLegacy()
-octokit.teams.updateDiscussion({ team_id, discussion_number, title, body });
-
-// https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy
-octokit.teams.deleteDiscussionLegacy({ team_id, discussion_number });
-
-// DEPRECATED: octokit.teams.deleteDiscussion() has been renamed to octokit.teams.deleteDiscussionLegacy()
-octokit.teams.deleteDiscussion({ team_id, discussion_number });
-
-// https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy
-octokit.teams.listDiscussionCommentsLegacy({
-  team_id,
-  discussion_number,
-  direction
-});
-
-// DEPRECATED: octokit.teams.listDiscussionComments() has been renamed to octokit.teams.listDiscussionCommentsLegacy()
-octokit.teams.listDiscussionComments({ team_id, discussion_number, direction });
-
-// https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy
-octokit.teams.createDiscussionCommentLegacy({
-  team_id,
-  discussion_number,
-  body
-});
-
-// DEPRECATED: octokit.teams.createDiscussionComment() has been renamed to octokit.teams.createDiscussionCommentLegacy()
-octokit.teams.createDiscussionComment({ team_id, discussion_number, body });
-
-// https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy
-octokit.teams.getDiscussionCommentLegacy({
-  team_id,
-  discussion_number,
-  comment_number
-});
-
-// DEPRECATED: octokit.teams.getDiscussionComment() has been renamed to octokit.teams.getDiscussionCommentLegacy()
-octokit.teams.getDiscussionComment({
-  team_id,
-  discussion_number,
-  comment_number
-});
-
-// https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy
-octokit.teams.updateDiscussionCommentLegacy({
-  team_id,
-  discussion_number,
-  comment_number,
-  body
-});
-
-// DEPRECATED: octokit.teams.updateDiscussionComment() has been renamed to octokit.teams.updateDiscussionCommentLegacy()
-octokit.teams.updateDiscussionComment({
-  team_id,
-  discussion_number,
-  comment_number,
-  body
-});
-
-// https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy
-octokit.teams.deleteDiscussionCommentLegacy({
-  team_id,
-  discussion_number,
-  comment_number
-});
-
-// DEPRECATED: octokit.teams.deleteDiscussionComment() has been renamed to octokit.teams.deleteDiscussionCommentLegacy()
-octokit.teams.deleteDiscussionComment({
-  team_id,
-  discussion_number,
-  comment_number
-});
-
-// https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy
-octokit.reactions.listForTeamDiscussionCommentLegacy({
-  team_id,
-  discussion_number,
-  comment_number,
-  content
-});
-
-// DEPRECATED: octokit.reactions.listForTeamDiscussionComment() has been renamed to octokit.reactions.listForTeamDiscussionCommentLegacy()
-octokit.reactions.listForTeamDiscussionComment({
-  team_id,
-  discussion_number,
-  comment_number,
-  content
-});
-
-// https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy
-octokit.reactions.createForTeamDiscussionCommentLegacy({
-  team_id,
-  discussion_number,
-  comment_number,
-  content
-});
-
-// DEPRECATED: octokit.reactions.createForTeamDiscussionComment() has been renamed to octokit.reactions.createForTeamDiscussionCommentLegacy()
-octokit.reactions.createForTeamDiscussionComment({
-  team_id,
-  discussion_number,
-  comment_number,
-  content
-});
-
-// https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy
-octokit.reactions.listForTeamDiscussionLegacy({
-  team_id,
-  discussion_number,
-  content
-});
-
-// DEPRECATED: octokit.reactions.listForTeamDiscussion() has been renamed to octokit.reactions.listForTeamDiscussionLegacy()
-octokit.reactions.listForTeamDiscussion({
-  team_id,
-  discussion_number,
-  content
-});
-
-// https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy
-octokit.reactions.createForTeamDiscussionLegacy({
-  team_id,
-  discussion_number,
-  content
-});
-
-// DEPRECATED: octokit.reactions.createForTeamDiscussion() has been renamed to octokit.reactions.createForTeamDiscussionLegacy()
-octokit.reactions.createForTeamDiscussion({
-  team_id,
-  discussion_number,
-  content
-});
-
-// https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy
-octokit.teams.listPendingInvitationsLegacy({ team_id });
-
-// DEPRECATED: octokit.teams.listPendingInvitations() has been renamed to octokit.teams.listPendingInvitationsLegacy()
-octokit.teams.listPendingInvitations({ team_id });
-
-// https://developer.github.com/v3/teams/members/#list-team-members-legacy
-octokit.teams.listMembersLegacy({ team_id, role });
-
-// DEPRECATED: octokit.teams.listMembers() has been renamed to octokit.teams.listMembersLegacy()
-octokit.teams.listMembers({ team_id, role });
-
-// https://developer.github.com/v3/teams/members/#get-team-member-legacy
-octokit.teams.getMemberLegacy({ team_id, username });
-
-// DEPRECATED: octokit.teams.getMember() has been renamed to octokit.teams.getMemberLegacy()
-octokit.teams.getMember({ team_id, username });
-
-// https://developer.github.com/v3/teams/members/#add-team-member-legacy
-octokit.teams.addMemberLegacy({ team_id, username });
-
-// DEPRECATED: octokit.teams.addMember() has been renamed to octokit.teams.addMemberLegacy()
-octokit.teams.addMember({ team_id, username });
-
-// https://developer.github.com/v3/teams/members/#remove-team-member-legacy
-octokit.teams.removeMemberLegacy({ team_id, username });
-
-// DEPRECATED: octokit.teams.removeMember() has been renamed to octokit.teams.removeMemberLegacy()
-octokit.teams.removeMember({ team_id, username });
-
-// https://developer.github.com/v3/teams/members/#get-team-membership-legacy
-octokit.teams.getMembershipLegacy({ team_id, username });
-
-// DEPRECATED: octokit.teams.getMembership() has been renamed to octokit.teams.getMembershipLegacy()
-octokit.teams.getMembership({ team_id, username });
-
-// https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy
-octokit.teams.addOrUpdateMembershipLegacy({ team_id, username, role });
-
-// DEPRECATED: octokit.teams.addOrUpdateMembership() has been renamed to octokit.teams.addOrUpdateMembershipLegacy()
-octokit.teams.addOrUpdateMembership({ team_id, username, role });
-
-// https://developer.github.com/v3/teams/members/#remove-team-membership-legacy
-octokit.teams.removeMembershipLegacy({ team_id, username });
-
-// DEPRECATED: octokit.teams.removeMembership() has been renamed to octokit.teams.removeMembershipLegacy()
-octokit.teams.removeMembership({ team_id, username });
-
-// https://developer.github.com/v3/teams/#list-team-projects-legacy
-octokit.teams.listProjectsLegacy({ team_id });
-
-// DEPRECATED: octokit.teams.listProjects() has been renamed to octokit.teams.listProjectsLegacy()
-octokit.teams.listProjects({ team_id });
-
-// https://developer.github.com/v3/teams/#review-a-team-project-legacy
-octokit.teams.reviewProjectLegacy({ team_id, project_id });
-
-// DEPRECATED: octokit.teams.reviewProject() has been renamed to octokit.teams.reviewProjectLegacy()
-octokit.teams.reviewProject({ team_id, project_id });
-
-// https://developer.github.com/v3/teams/#add-or-update-team-project-legacy
-octokit.teams.addOrUpdateProjectLegacy({ team_id, project_id, permission });
-
-// DEPRECATED: octokit.teams.addOrUpdateProject() has been renamed to octokit.teams.addOrUpdateProjectLegacy()
-octokit.teams.addOrUpdateProject({ team_id, project_id, permission });
-
-// https://developer.github.com/v3/teams/#remove-team-project-legacy
-octokit.teams.removeProjectLegacy({ team_id, project_id });
-
-// DEPRECATED: octokit.teams.removeProject() has been renamed to octokit.teams.removeProjectLegacy()
-octokit.teams.removeProject({ team_id, project_id });
-
-// https://developer.github.com/v3/teams/#list-team-repos-legacy
-octokit.teams.listReposLegacy({ team_id });
-
-// DEPRECATED: octokit.teams.listRepos() has been renamed to octokit.teams.listReposLegacy()
-octokit.teams.listRepos({ team_id });
-
-// https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy
-octokit.teams.checkManagesRepoLegacy({ team_id, owner, repo });
-
-// DEPRECATED: octokit.teams.checkManagesRepo() has been renamed to octokit.teams.checkManagesRepoLegacy()
-octokit.teams.checkManagesRepo({ team_id, owner, repo });
-
-// https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy
-octokit.teams.addOrUpdateRepoLegacy({ team_id, owner, repo, permission });
-
-// DEPRECATED: octokit.teams.addOrUpdateRepo() has been renamed to octokit.teams.addOrUpdateRepoLegacy()
-octokit.teams.addOrUpdateRepo({ team_id, owner, repo, permission });
-
-// https://developer.github.com/v3/teams/#remove-team-repository-legacy
-octokit.teams.removeRepoLegacy({ team_id, owner, repo });
-
-// DEPRECATED: octokit.teams.removeRepo() has been renamed to octokit.teams.removeRepoLegacy()
-octokit.teams.removeRepo({ team_id, owner, repo });
-
-// https://developer.github.com/v3/teams/#list-child-teams-legacy
-octokit.teams.listChildLegacy({ team_id });
-
-// DEPRECATED: octokit.teams.listChild() has been renamed to octokit.teams.listChildLegacy()
-octokit.teams.listChild({ team_id });
-
 // https://developer.github.com/v3/users/#get-the-authenticated-user
 octokit.users.getAuthenticated();
+```
 
-// https://developer.github.com/v3/users/#update-the-authenticated-user
-octokit.users.updateAuthenticated({
-  name,
-  email,
-  blog,
-  company,
-  location,
-  hireable,
-  bio
-});
-
-// https://developer.github.com/v3/users/blocking/#list-blocked-users
-octokit.users.listBlocked();
-
-// https://developer.github.com/v3/users/blocking/#check-whether-youve-blocked-a-user
-octokit.users.checkBlocked({ username });
-
-// https://developer.github.com/v3/users/blocking/#block-a-user
-octokit.users.block({ username });
-
-// https://developer.github.com/v3/users/blocking/#unblock-a-user
-octokit.users.unblock({ username });
-
-// https://developer.github.com/v3/users/emails/#toggle-primary-email-visibility
-octokit.users.togglePrimaryEmailVisibility({ email, visibility });
-
-// https://developer.github.com/v3/users/emails/#list-email-addresses-for-a-user
-octokit.users.listEmails();
-
-// https://developer.github.com/v3/users/emails/#add-email-addresses
-octokit.users.addEmails({ emails });
-
-// https://developer.github.com/v3/users/emails/#delete-email-addresses
-octokit.users.deleteEmails({ emails });
-
-// https://developer.github.com/v3/users/followers/#list-followers-of-a-user
-octokit.users.listFollowersForAuthenticatedUser();
-
-// https://developer.github.com/v3/users/followers/#list-users-followed-by-another-user
-octokit.users.listFollowingForAuthenticatedUser();
-
-// https://developer.github.com/v3/users/followers/#check-if-you-are-following-a-user
-octokit.users.checkFollowing({ username });
-
-// https://developer.github.com/v3/users/followers/#follow-a-user
-octokit.users.follow({ username });
-
-// https://developer.github.com/v3/users/followers/#unfollow-a-user
-octokit.users.unfollow({ username });
-
-// https://developer.github.com/v3/users/gpg_keys/#list-your-gpg-keys
-octokit.users.listGpgKeys();
-
-// https://developer.github.com/v3/users/gpg_keys/#create-a-gpg-key
-octokit.users.createGpgKey({ armored_public_key });
-
-// https://developer.github.com/v3/users/gpg_keys/#get-a-single-gpg-key
-octokit.users.getGpgKey({ gpg_key_id });
-
-// https://developer.github.com/v3/users/gpg_keys/#delete-a-gpg-key
-octokit.users.deleteGpgKey({ gpg_key_id });
-
-// https://developer.github.com/v3/apps/installations/#list-installations-for-a-user
-octokit.apps.listInstallationsForAuthenticatedUser();
-
-// https://developer.github.com/v3/apps/installations/#list-repositories-accessible-to-the-user-for-an-installation
-octokit.apps.listInstallationReposForAuthenticatedUser({ installation_id });
-
-// https://developer.github.com/v3/apps/installations/#add-repository-to-installation
-octokit.apps.addRepoToInstallation({ installation_id, repository_id });
-
-// https://developer.github.com/v3/apps/installations/#remove-repository-from-installation
-octokit.apps.removeRepoFromInstallation({ installation_id, repository_id });
-
-// https://developer.github.com/v3/issues/#list-issues
-octokit.issues.listForAuthenticatedUser({
-  filter,
-  state,
-  labels,
-  sort,
-  direction,
-  since
-});
-
-// https://developer.github.com/v3/users/keys/#list-your-public-keys
-octokit.users.listPublicKeys();
-
-// https://developer.github.com/v3/users/keys/#create-a-public-key
-octokit.users.createPublicKey({ title, key });
-
-// https://developer.github.com/v3/users/keys/#get-a-single-public-key
-octokit.users.getPublicKey({ key_id });
-
-// https://developer.github.com/v3/users/keys/#delete-a-public-key
-octokit.users.deletePublicKey({ key_id });
-
-// https://developer.github.com/v3/apps/marketplace/#get-a-users-marketplace-purchases
-octokit.apps.listMarketplacePurchasesForAuthenticatedUser();
-
-// https://developer.github.com/v3/apps/marketplace/#get-a-users-marketplace-purchases
-octokit.apps.listMarketplacePurchasesForAuthenticatedUserStubbed();
-
-// https://developer.github.com/v3/orgs/members/#list-your-organization-memberships
-octokit.orgs.listMemberships({ state });
-
-// https://developer.github.com/v3/orgs/members/#get-your-organization-membership
-octokit.orgs.getMembershipForAuthenticatedUser({ org });
-
-// https://developer.github.com/v3/orgs/members/#edit-your-organization-membership
-octokit.orgs.updateMembership({ org, state });
-
-// https://developer.github.com/v3/migrations/users/#start-a-user-migration
-octokit.migrations.startForAuthenticatedUser({
-  repositories,
-  lock_repositories,
-  exclude_attachments
-});
-
-// https://developer.github.com/v3/migrations/users/#list-user-migrations
-octokit.migrations.listForAuthenticatedUser();
-
-// https://developer.github.com/v3/migrations/users/#get-the-status-of-a-user-migration
-octokit.migrations.getStatusForAuthenticatedUser({ migration_id });
-
-// https://developer.github.com/v3/migrations/users/#download-a-user-migration-archive
-octokit.migrations.getArchiveForAuthenticatedUser({ migration_id });
-
-// https://developer.github.com/v3/migrations/users/#delete-a-user-migration-archive
-octokit.migrations.deleteArchiveForAuthenticatedUser({ migration_id });
-
-// https://developer.github.com/v3/migrations/users/#unlock-a-user-repository
-octokit.migrations.unlockRepoForAuthenticatedUser({ migration_id, repo_name });
-
-// https://developer.github.com/v3/orgs/#list-your-organizations
-octokit.orgs.listForAuthenticatedUser();
-
-// https://developer.github.com/v3/projects/#create-a-user-project
-octokit.projects.createForAuthenticatedUser({ name, body });
-
-// https://developer.github.com/v3/users/emails/#list-public-email-addresses-for-a-user
-octokit.users.listPublicEmails();
-
-// https://developer.github.com/v3/repos/#list-your-repositories
-octokit.repos.list({ visibility, affiliation, type, sort, direction });
-
-// https://developer.github.com/v3/repos/#create
-octokit.repos.createForAuthenticatedUser({
-  name,
-  description,
-  homepage,
-  private,
-  visibility,
-  has_issues,
-  has_projects,
-  has_wiki,
-  is_template,
-  team_id,
-  auto_init,
-  gitignore_template,
-  license_template,
-  allow_squash_merge,
-  allow_merge_commit,
-  allow_rebase_merge,
-  delete_branch_on_merge
-});
-
-// https://developer.github.com/v3/repos/invitations/#list-a-users-repository-invitations
-octokit.repos.listInvitationsForAuthenticatedUser();
-
-// https://developer.github.com/v3/repos/invitations/#accept-a-repository-invitation
-octokit.repos.acceptInvitation({ invitation_id });
-
-// https://developer.github.com/v3/repos/invitations/#decline-a-repository-invitation
-octokit.repos.declineInvitation({ invitation_id });
-
-// https://developer.github.com/v3/activity/starring/#list-repositories-being-starred
-octokit.activity.listReposStarredByAuthenticatedUser({ sort, direction });
-
-// https://developer.github.com/v3/activity/starring/#check-if-you-are-starring-a-repository
-octokit.activity.checkStarringRepo({ owner, repo });
-
-// https://developer.github.com/v3/activity/starring/#star-a-repository
-octokit.activity.starRepo({ owner, repo });
-
-// https://developer.github.com/v3/activity/starring/#unstar-a-repository
-octokit.activity.unstarRepo({ owner, repo });
-
-// https://developer.github.com/v3/activity/watching/#list-repositories-being-watched
-octokit.activity.listWatchedReposForAuthenticatedUser();
-
-// https://developer.github.com/v3/teams/#list-user-teams
-octokit.teams.listForAuthenticatedUser();
-
-// https://developer.github.com/v3/migrations/users/#list-repositories-for-a-user-migration
-octokit.migrations.listReposForUser({ migration_id });
-
-// https://developer.github.com/v3/users/#get-all-users
-octokit.users.list({ since });
-
-// https://developer.github.com/v3/users/#get-a-single-user
-octokit.users.getByUsername({ username });
-
-// https://developer.github.com/v3/activity/events/#list-events-performed-by-a-user
-octokit.activity.listEventsForUser({ username });
-
-// https://developer.github.com/v3/activity/events/#list-events-for-an-organization
-octokit.activity.listEventsForOrg({ username, org });
-
-// https://developer.github.com/v3/activity/events/#list-public-events-performed-by-a-user
-octokit.activity.listPublicEventsForUser({ username });
-
-// https://developer.github.com/v3/users/followers/#list-followers-of-a-user
-octokit.users.listFollowersForUser({ username });
-
-// https://developer.github.com/v3/users/followers/#list-users-followed-by-another-user
-octokit.users.listFollowingForUser({ username });
-
-// https://developer.github.com/v3/users/followers/#check-if-one-user-follows-another
-octokit.users.checkFollowingForUser({ username, target_user });
-
-// https://developer.github.com/v3/gists/#list-a-users-gists
-octokit.gists.listPublicForUser({ username, since });
-
-// https://developer.github.com/v3/users/gpg_keys/#list-gpg-keys-for-a-user
-octokit.users.listGpgKeysForUser({ username });
-
-// https://developer.github.com/v3/users/#get-contextual-information-about-a-user
-octokit.users.getContextForUser({ username, subject_type, subject_id });
-
-// https://developer.github.com/v3/apps/#get-a-user-installation
-octokit.apps.getUserInstallation({ username });
-
-// DEPRECATED: octokit.apps.findUserInstallation() has been renamed to octokit.apps.getUserInstallation()
-octokit.apps.findUserInstallation({ username });
-
-// https://developer.github.com/v3/users/keys/#list-public-keys-for-a-user
-octokit.users.listPublicKeysForUser({ username });
-
-// https://developer.github.com/v3/orgs/#list-user-organizations
-octokit.orgs.listForUser({ username });
-
-// https://developer.github.com/v3/projects/#list-user-projects
-octokit.projects.listForUser({ username, state });
-
-// https://developer.github.com/v3/activity/events/#list-events-that-a-user-has-received
-octokit.activity.listReceivedEventsForUser({ username });
-
-// https://developer.github.com/v3/activity/events/#list-public-events-that-a-user-has-received
-octokit.activity.listReceivedPublicEventsForUser({ username });
-
-// https://developer.github.com/v3/repos/#list-user-repositories
-octokit.repos.listForUser({ username, type, sort, direction });
-
-// https://developer.github.com/v3/activity/starring/#list-repositories-being-starred
-octokit.activity.listReposStarredByUser({ username, sort, direction });
-
-// https://developer.github.com/v3/activity/watching/#list-repositories-being-watched
-octokit.activity.listReposWatchedByUser({ username });
+There is one method for each REST API endpoint documented at [https://developer.github.com/v3](https://developer.github.com/v3). All endpoint methods are documented in the [docs/](docs/) folder, e.g. [docs/users/getAuthenticated.md](docs/users/getAuthenticated.md)
 
-// https://developer.github.com/v3/repos/commits/#get-a-single-commit
-octokit.repos.getCommitRefSha({ owner, ref, repo });
+## TypeScript
 
-// https://developer.github.com/v3/git/refs/#get-all-references
-octokit.git.listRefs({ owner, repo, namespace });
+Parameter and response types for all endpoint methods exported as `{ RestEndpointMethodTypes }`.
 
-// https://developer.github.com/v3/issues/labels/#update-a-label
-octokit.issues.updateLabel({
-  owner,
-  repo,
-  current_name,
-  color,
-  name,
-  description
-});
+Example
 
-// https://developer.github.com/v3/pulls/#create-a-pull-request
-octokit.pulls.createFromIssue({
-  owner,
-  repo,
-  base,
-  draft,
-  head,
-  issue,
-  maintainer_can_modify,
-  owner,
-  repo
-});
+```ts
+import { RestEndpointMethodTypes } from "@octokit/rest-endpoint-methods";
 
-// https://developer.github.com/v3/repos/releases/#upload-a-release-asset
-octokit.repos.uploadReleaseAsset({ data, headers, label, name, url });
+type UpdateLabelParameters = RestEndpointMethodTypes["issues"]["updateLabel"]["parameters"];
+type UpdateLabelResponse = RestEndpointMethodTypes["issues"]["updateLabel"]["response"];
 ```
 
-There is one method for each REST API endpoint documented at [https://developer.github.com/v3](https://developer.github.com/v3).
-
 ## Contributing
 
 See [CONTRIBUTING.md](CONTRIBUTING.md)
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-node/index.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-node/index.js
index f391f5e33..b96c3a788 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-node/index.js
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-node/index.js
@@ -2,13162 +2,1189 @@
 
 Object.defineProperty(exports, '__esModule', { value: true });
 
-var deprecation = require('deprecation');
-
-var endpointsByScope = {
+const Endpoints = {
   actions: {
-    cancelWorkflowRun: {
-      method: "POST",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        run_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runs/:run_id/cancel"
-    },
-    createOrUpdateSecretForRepo: {
-      method: "PUT",
-      params: {
-        encrypted_value: {
-          type: "string"
-        },
-        key_id: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/secrets/:name"
-    },
-    createRegistrationToken: {
-      method: "POST",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runners/registration-token"
-    },
-    createRemoveToken: {
-      method: "POST",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runners/remove-token"
-    },
-    deleteArtifact: {
-      method: "DELETE",
-      params: {
-        artifact_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/artifacts/:artifact_id"
-    },
-    deleteSecretFromRepo: {
-      method: "DELETE",
-      params: {
-        name: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/secrets/:name"
-    },
-    downloadArtifact: {
-      method: "GET",
-      params: {
-        archive_format: {
-          required: true,
-          type: "string"
-        },
-        artifact_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format"
-    },
-    getArtifact: {
-      method: "GET",
-      params: {
-        artifact_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/artifacts/:artifact_id"
-    },
-    getPublicKey: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/secrets/public-key"
-    },
-    getSecret: {
-      method: "GET",
-      params: {
-        name: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/secrets/:name"
-    },
-    getSelfHostedRunner: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        runner_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runners/:runner_id"
-    },
-    getWorkflow: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        workflow_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/workflows/:workflow_id"
-    },
-    getWorkflowJob: {
-      method: "GET",
-      params: {
-        job_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/jobs/:job_id"
-    },
-    getWorkflowRun: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        run_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runs/:run_id"
-    },
-    listDownloadsForSelfHostedRunnerApplication: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runners/downloads"
-    },
-    listJobsForWorkflowRun: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        run_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runs/:run_id/jobs"
-    },
-    listRepoWorkflowRuns: {
-      method: "GET",
-      params: {
-        actor: {
-          type: "string"
-        },
-        branch: {
-          type: "string"
-        },
-        event: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        status: {
-          enum: ["completed", "status", "conclusion"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runs"
-    },
-    listRepoWorkflows: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/workflows"
-    },
-    listSecretsForRepo: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/secrets"
-    },
-    listSelfHostedRunnersForRepo: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runners"
-    },
-    listWorkflowJobLogs: {
-      method: "GET",
-      params: {
-        job_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/jobs/:job_id/logs"
-    },
-    listWorkflowRunArtifacts: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        run_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runs/:run_id/artifacts"
-    },
-    listWorkflowRunLogs: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        run_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runs/:run_id/logs"
-    },
-    listWorkflowRuns: {
-      method: "GET",
-      params: {
-        actor: {
-          type: "string"
-        },
-        branch: {
-          type: "string"
-        },
-        event: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        status: {
-          enum: ["completed", "status", "conclusion"],
-          type: "string"
-        },
-        workflow_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/workflows/:workflow_id/runs"
-    },
-    reRunWorkflow: {
-      method: "POST",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        run_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runs/:run_id/rerun"
-    },
-    removeSelfHostedRunner: {
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        runner_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/actions/runners/:runner_id"
-    }
+    addSelectedRepoToOrgSecret: ["PUT /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}"],
+    cancelWorkflowRun: ["POST /repos/{owner}/{repo}/actions/runs/{run_id}/cancel"],
+    createOrUpdateOrgSecret: ["PUT /orgs/{org}/actions/secrets/{secret_name}"],
+    createOrUpdateRepoSecret: ["PUT /repos/{owner}/{repo}/actions/secrets/{secret_name}"],
+    createRegistrationTokenForOrg: ["POST /orgs/{org}/actions/runners/registration-token"],
+    createRegistrationTokenForRepo: ["POST /repos/{owner}/{repo}/actions/runners/registration-token"],
+    createRemoveTokenForOrg: ["POST /orgs/{org}/actions/runners/remove-token"],
+    createRemoveTokenForRepo: ["POST /repos/{owner}/{repo}/actions/runners/remove-token"],
+    createWorkflowDispatch: ["POST /repos/{owner}/{repo}/actions/workflows/{workflow_id}/dispatches"],
+    deleteArtifact: ["DELETE /repos/{owner}/{repo}/actions/artifacts/{artifact_id}"],
+    deleteOrgSecret: ["DELETE /orgs/{org}/actions/secrets/{secret_name}"],
+    deleteRepoSecret: ["DELETE /repos/{owner}/{repo}/actions/secrets/{secret_name}"],
+    deleteSelfHostedRunnerFromOrg: ["DELETE /orgs/{org}/actions/runners/{runner_id}"],
+    deleteSelfHostedRunnerFromRepo: ["DELETE /repos/{owner}/{repo}/actions/runners/{runner_id}"],
+    deleteWorkflowRun: ["DELETE /repos/{owner}/{repo}/actions/runs/{run_id}"],
+    deleteWorkflowRunLogs: ["DELETE /repos/{owner}/{repo}/actions/runs/{run_id}/logs"],
+    downloadArtifact: ["GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}/{archive_format}"],
+    downloadJobLogsForWorkflowRun: ["GET /repos/{owner}/{repo}/actions/jobs/{job_id}/logs"],
+    downloadWorkflowRunLogs: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/logs"],
+    getArtifact: ["GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}"],
+    getJobForWorkflowRun: ["GET /repos/{owner}/{repo}/actions/jobs/{job_id}"],
+    getOrgPublicKey: ["GET /orgs/{org}/actions/secrets/public-key"],
+    getOrgSecret: ["GET /orgs/{org}/actions/secrets/{secret_name}"],
+    getRepoPublicKey: ["GET /repos/{owner}/{repo}/actions/secrets/public-key"],
+    getRepoSecret: ["GET /repos/{owner}/{repo}/actions/secrets/{secret_name}"],
+    getSelfHostedRunnerForOrg: ["GET /orgs/{org}/actions/runners/{runner_id}"],
+    getSelfHostedRunnerForRepo: ["GET /repos/{owner}/{repo}/actions/runners/{runner_id}"],
+    getWorkflow: ["GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}"],
+    getWorkflowRun: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}"],
+    getWorkflowRunUsage: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/timing"],
+    getWorkflowUsage: ["GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/timing"],
+    listArtifactsForRepo: ["GET /repos/{owner}/{repo}/actions/artifacts"],
+    listJobsForWorkflowRun: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs"],
+    listOrgSecrets: ["GET /orgs/{org}/actions/secrets"],
+    listRepoSecrets: ["GET /repos/{owner}/{repo}/actions/secrets"],
+    listRepoWorkflows: ["GET /repos/{owner}/{repo}/actions/workflows"],
+    listRunnerApplicationsForOrg: ["GET /orgs/{org}/actions/runners/downloads"],
+    listRunnerApplicationsForRepo: ["GET /repos/{owner}/{repo}/actions/runners/downloads"],
+    listSelectedReposForOrgSecret: ["GET /orgs/{org}/actions/secrets/{secret_name}/repositories"],
+    listSelfHostedRunnersForOrg: ["GET /orgs/{org}/actions/runners"],
+    listSelfHostedRunnersForRepo: ["GET /repos/{owner}/{repo}/actions/runners"],
+    listWorkflowRunArtifacts: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts"],
+    listWorkflowRuns: ["GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs"],
+    listWorkflowRunsForRepo: ["GET /repos/{owner}/{repo}/actions/runs"],
+    reRunWorkflow: ["POST /repos/{owner}/{repo}/actions/runs/{run_id}/rerun"],
+    removeSelectedRepoFromOrgSecret: ["DELETE /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}"],
+    setSelectedReposForOrgSecret: ["PUT /orgs/{org}/actions/secrets/{secret_name}/repositories"]
   },
   activity: {
-    checkStarringRepo: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/starred/:owner/:repo"
-    },
-    deleteRepoSubscription: {
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/subscription"
-    },
-    deleteThreadSubscription: {
-      method: "DELETE",
-      params: {
-        thread_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/notifications/threads/:thread_id/subscription"
-    },
-    getRepoSubscription: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/subscription"
-    },
-    getThread: {
-      method: "GET",
-      params: {
-        thread_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/notifications/threads/:thread_id"
-    },
-    getThreadSubscription: {
-      method: "GET",
-      params: {
-        thread_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/notifications/threads/:thread_id/subscription"
-    },
-    listEventsForOrg: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/events/orgs/:org"
-    },
-    listEventsForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/events"
-    },
-    listFeeds: {
-      method: "GET",
-      params: {},
-      url: "/feeds"
-    },
-    listNotifications: {
-      method: "GET",
-      params: {
-        all: {
-          type: "boolean"
-        },
-        before: {
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        participating: {
-          type: "boolean"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        }
-      },
-      url: "/notifications"
-    },
-    listNotificationsForRepo: {
-      method: "GET",
-      params: {
-        all: {
-          type: "boolean"
-        },
-        before: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        participating: {
-          type: "boolean"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        since: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/notifications"
-    },
-    listPublicEvents: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/events"
-    },
-    listPublicEventsForOrg: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/orgs/:org/events"
-    },
-    listPublicEventsForRepoNetwork: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/networks/:owner/:repo/events"
-    },
-    listPublicEventsForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/events/public"
-    },
-    listReceivedEventsForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/received_events"
-    },
-    listReceivedPublicEventsForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/received_events/public"
-    },
-    listRepoEvents: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/events"
-    },
-    listReposStarredByAuthenticatedUser: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        sort: {
-          enum: ["created", "updated"],
-          type: "string"
-        }
-      },
-      url: "/user/starred"
-    },
-    listReposStarredByUser: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        sort: {
-          enum: ["created", "updated"],
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/starred"
-    },
-    listReposWatchedByUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/subscriptions"
-    },
-    listStargazersForRepo: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/stargazers"
-    },
-    listWatchedReposForAuthenticatedUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/subscriptions"
-    },
-    listWatchersForRepo: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/subscribers"
-    },
-    markAsRead: {
-      method: "PUT",
-      params: {
-        last_read_at: {
-          type: "string"
-        }
-      },
-      url: "/notifications"
-    },
-    markNotificationsAsReadForRepo: {
-      method: "PUT",
-      params: {
-        last_read_at: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/notifications"
-    },
-    markThreadAsRead: {
-      method: "PATCH",
-      params: {
-        thread_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/notifications/threads/:thread_id"
-    },
-    setRepoSubscription: {
-      method: "PUT",
-      params: {
-        ignored: {
-          type: "boolean"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        subscribed: {
-          type: "boolean"
-        }
-      },
-      url: "/repos/:owner/:repo/subscription"
-    },
-    setThreadSubscription: {
-      method: "PUT",
-      params: {
-        ignored: {
-          type: "boolean"
-        },
-        thread_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/notifications/threads/:thread_id/subscription"
-    },
-    starRepo: {
-      method: "PUT",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/starred/:owner/:repo"
-    },
-    unstarRepo: {
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/starred/:owner/:repo"
-    }
+    checkRepoIsStarredByAuthenticatedUser: ["GET /user/starred/{owner}/{repo}"],
+    deleteRepoSubscription: ["DELETE /repos/{owner}/{repo}/subscription"],
+    deleteThreadSubscription: ["DELETE /notifications/threads/{thread_id}/subscription"],
+    getFeeds: ["GET /feeds"],
+    getRepoSubscription: ["GET /repos/{owner}/{repo}/subscription"],
+    getThread: ["GET /notifications/threads/{thread_id}"],
+    getThreadSubscriptionForAuthenticatedUser: ["GET /notifications/threads/{thread_id}/subscription"],
+    listEventsForAuthenticatedUser: ["GET /users/{username}/events"],
+    listNotificationsForAuthenticatedUser: ["GET /notifications"],
+    listOrgEventsForAuthenticatedUser: ["GET /users/{username}/events/orgs/{org}"],
+    listPublicEvents: ["GET /events"],
+    listPublicEventsForRepoNetwork: ["GET /networks/{owner}/{repo}/events"],
+    listPublicEventsForUser: ["GET /users/{username}/events/public"],
+    listPublicOrgEvents: ["GET /orgs/{org}/events"],
+    listReceivedEventsForUser: ["GET /users/{username}/received_events"],
+    listReceivedPublicEventsForUser: ["GET /users/{username}/received_events/public"],
+    listRepoEvents: ["GET /repos/{owner}/{repo}/events"],
+    listRepoNotificationsForAuthenticatedUser: ["GET /repos/{owner}/{repo}/notifications"],
+    listReposStarredByAuthenticatedUser: ["GET /user/starred"],
+    listReposStarredByUser: ["GET /users/{username}/starred"],
+    listReposWatchedByUser: ["GET /users/{username}/subscriptions"],
+    listStargazersForRepo: ["GET /repos/{owner}/{repo}/stargazers"],
+    listWatchedReposForAuthenticatedUser: ["GET /user/subscriptions"],
+    listWatchersForRepo: ["GET /repos/{owner}/{repo}/subscribers"],
+    markNotificationsAsRead: ["PUT /notifications"],
+    markRepoNotificationsAsRead: ["PUT /repos/{owner}/{repo}/notifications"],
+    markThreadAsRead: ["PATCH /notifications/threads/{thread_id}"],
+    setRepoSubscription: ["PUT /repos/{owner}/{repo}/subscription"],
+    setThreadSubscription: ["PUT /notifications/threads/{thread_id}/subscription"],
+    starRepoForAuthenticatedUser: ["PUT /user/starred/{owner}/{repo}"],
+    unstarRepoForAuthenticatedUser: ["DELETE /user/starred/{owner}/{repo}"]
   },
   apps: {
-    addRepoToInstallation: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "PUT",
-      params: {
-        installation_id: {
-          required: true,
-          type: "integer"
-        },
-        repository_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/installations/:installation_id/repositories/:repository_id"
-    },
-    checkAccountIsAssociatedWithAny: {
-      method: "GET",
-      params: {
-        account_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/marketplace_listing/accounts/:account_id"
-    },
-    checkAccountIsAssociatedWithAnyStubbed: {
-      method: "GET",
-      params: {
-        account_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/marketplace_listing/stubbed/accounts/:account_id"
-    },
-    checkAuthorization: {
-      deprecated: "octokit.apps.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization",
-      method: "GET",
-      params: {
-        access_token: {
-          required: true,
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/tokens/:access_token"
-    },
-    checkToken: {
-      headers: {
-        accept: "application/vnd.github.doctor-strange-preview+json"
-      },
-      method: "POST",
-      params: {
-        access_token: {
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/token"
-    },
-    createContentAttachment: {
-      headers: {
-        accept: "application/vnd.github.corsair-preview+json"
-      },
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        content_reference_id: {
-          required: true,
-          type: "integer"
-        },
-        title: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/content_references/:content_reference_id/attachments"
-    },
-    createFromManifest: {
-      headers: {
-        accept: "application/vnd.github.fury-preview+json"
-      },
-      method: "POST",
-      params: {
-        code: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/app-manifests/:code/conversions"
-    },
-    createInstallationToken: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "POST",
-      params: {
-        installation_id: {
-          required: true,
-          type: "integer"
-        },
-        permissions: {
-          type: "object"
-        },
-        repository_ids: {
-          type: "integer[]"
-        }
-      },
-      url: "/app/installations/:installation_id/access_tokens"
-    },
-    deleteAuthorization: {
-      headers: {
-        accept: "application/vnd.github.doctor-strange-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        access_token: {
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/grant"
-    },
-    deleteInstallation: {
-      headers: {
-        accept: "application/vnd.github.gambit-preview+json,application/vnd.github.machine-man-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        installation_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/app/installations/:installation_id"
-    },
-    deleteToken: {
-      headers: {
-        accept: "application/vnd.github.doctor-strange-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        access_token: {
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/token"
-    },
-    findOrgInstallation: {
-      deprecated: "octokit.apps.findOrgInstallation() has been renamed to octokit.apps.getOrgInstallation() (2019-04-10)",
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/installation"
-    },
-    findRepoInstallation: {
-      deprecated: "octokit.apps.findRepoInstallation() has been renamed to octokit.apps.getRepoInstallation() (2019-04-10)",
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/installation"
-    },
-    findUserInstallation: {
-      deprecated: "octokit.apps.findUserInstallation() has been renamed to octokit.apps.getUserInstallation() (2019-04-10)",
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/installation"
-    },
-    getAuthenticated: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {},
-      url: "/app"
-    },
-    getBySlug: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        app_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/apps/:app_slug"
-    },
-    getInstallation: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        installation_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/app/installations/:installation_id"
-    },
-    getOrgInstallation: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/installation"
-    },
-    getRepoInstallation: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/installation"
-    },
-    getUserInstallation: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/installation"
-    },
-    listAccountsUserOrOrgOnPlan: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        plan_id: {
-          required: true,
-          type: "integer"
-        },
-        sort: {
-          enum: ["created", "updated"],
-          type: "string"
-        }
-      },
-      url: "/marketplace_listing/plans/:plan_id/accounts"
-    },
-    listAccountsUserOrOrgOnPlanStubbed: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        plan_id: {
-          required: true,
-          type: "integer"
-        },
-        sort: {
-          enum: ["created", "updated"],
-          type: "string"
-        }
-      },
-      url: "/marketplace_listing/stubbed/plans/:plan_id/accounts"
-    },
-    listInstallationReposForAuthenticatedUser: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        installation_id: {
-          required: true,
-          type: "integer"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/installations/:installation_id/repositories"
-    },
-    listInstallations: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/app/installations"
-    },
-    listInstallationsForAuthenticatedUser: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/installations"
-    },
-    listMarketplacePurchasesForAuthenticatedUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/marketplace_purchases"
-    },
-    listMarketplacePurchasesForAuthenticatedUserStubbed: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/marketplace_purchases/stubbed"
-    },
-    listPlans: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/marketplace_listing/plans"
-    },
-    listPlansStubbed: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/marketplace_listing/stubbed/plans"
-    },
-    listRepos: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/installation/repositories"
-    },
-    removeRepoFromInstallation: {
-      headers: {
-        accept: "application/vnd.github.machine-man-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        installation_id: {
-          required: true,
-          type: "integer"
-        },
-        repository_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/installations/:installation_id/repositories/:repository_id"
-    },
-    resetAuthorization: {
-      deprecated: "octokit.apps.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization",
-      method: "POST",
-      params: {
-        access_token: {
-          required: true,
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/tokens/:access_token"
-    },
-    resetToken: {
-      headers: {
-        accept: "application/vnd.github.doctor-strange-preview+json"
-      },
-      method: "PATCH",
-      params: {
-        access_token: {
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/token"
-    },
-    revokeAuthorizationForApplication: {
-      deprecated: "octokit.apps.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application",
-      method: "DELETE",
-      params: {
-        access_token: {
-          required: true,
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/tokens/:access_token"
-    },
-    revokeGrantForApplication: {
-      deprecated: "octokit.apps.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application",
-      method: "DELETE",
-      params: {
-        access_token: {
-          required: true,
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/grants/:access_token"
-    },
-    revokeInstallationToken: {
-      headers: {
-        accept: "application/vnd.github.gambit-preview+json"
-      },
-      method: "DELETE",
-      params: {},
-      url: "/installation/token"
-    }
+    addRepoToInstallation: ["PUT /user/installations/{installation_id}/repositories/{repository_id}", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    checkToken: ["POST /applications/{client_id}/token"],
+    createContentAttachment: ["POST /content_references/{content_reference_id}/attachments", {
+      mediaType: {
+        previews: ["corsair"]
+      }
+    }],
+    createFromManifest: ["POST /app-manifests/{code}/conversions"],
+    createInstallationAccessToken: ["POST /app/installations/{installation_id}/access_tokens", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    deleteAuthorization: ["DELETE /applications/{client_id}/grant"],
+    deleteInstallation: ["DELETE /app/installations/{installation_id}", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    deleteToken: ["DELETE /applications/{client_id}/token"],
+    getAuthenticated: ["GET /app", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    getBySlug: ["GET /apps/{app_slug}", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    getInstallation: ["GET /app/installations/{installation_id}", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    getOrgInstallation: ["GET /orgs/{org}/installation", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    getRepoInstallation: ["GET /repos/{owner}/{repo}/installation", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    getSubscriptionPlanForAccount: ["GET /marketplace_listing/accounts/{account_id}"],
+    getSubscriptionPlanForAccountStubbed: ["GET /marketplace_listing/stubbed/accounts/{account_id}"],
+    getUserInstallation: ["GET /users/{username}/installation", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    listAccountsForPlan: ["GET /marketplace_listing/plans/{plan_id}/accounts"],
+    listAccountsForPlanStubbed: ["GET /marketplace_listing/stubbed/plans/{plan_id}/accounts"],
+    listInstallationReposForAuthenticatedUser: ["GET /user/installations/{installation_id}/repositories", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    listInstallations: ["GET /app/installations", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    listInstallationsForAuthenticatedUser: ["GET /user/installations", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    listPlans: ["GET /marketplace_listing/plans"],
+    listPlansStubbed: ["GET /marketplace_listing/stubbed/plans"],
+    listReposAccessibleToInstallation: ["GET /installation/repositories", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    listSubscriptionsForAuthenticatedUser: ["GET /user/marketplace_purchases"],
+    listSubscriptionsForAuthenticatedUserStubbed: ["GET /user/marketplace_purchases/stubbed"],
+    removeRepoFromInstallation: ["DELETE /user/installations/{installation_id}/repositories/{repository_id}", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    resetToken: ["PATCH /applications/{client_id}/token"],
+    revokeInstallationAccessToken: ["DELETE /installation/token"],
+    suspendInstallation: ["PUT /app/installations/{installation_id}/suspended"],
+    unsuspendInstallation: ["DELETE /app/installations/{installation_id}/suspended"]
+  },
+  billing: {
+    getGithubActionsBillingOrg: ["GET /orgs/{org}/settings/billing/actions"],
+    getGithubActionsBillingUser: ["GET /users/{username}/settings/billing/actions"],
+    getGithubPackagesBillingOrg: ["GET /orgs/{org}/settings/billing/packages"],
+    getGithubPackagesBillingUser: ["GET /users/{username}/settings/billing/packages"],
+    getSharedStorageBillingOrg: ["GET /orgs/{org}/settings/billing/shared-storage"],
+    getSharedStorageBillingUser: ["GET /users/{username}/settings/billing/shared-storage"]
   },
   checks: {
-    create: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "POST",
-      params: {
-        actions: {
-          type: "object[]"
-        },
-        "actions[].description": {
-          required: true,
-          type: "string"
-        },
-        "actions[].identifier": {
-          required: true,
-          type: "string"
-        },
-        "actions[].label": {
-          required: true,
-          type: "string"
-        },
-        completed_at: {
-          type: "string"
-        },
-        conclusion: {
-          enum: ["success", "failure", "neutral", "cancelled", "timed_out", "action_required"],
-          type: "string"
-        },
-        details_url: {
-          type: "string"
-        },
-        external_id: {
-          type: "string"
-        },
-        head_sha: {
-          required: true,
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        output: {
-          type: "object"
-        },
-        "output.annotations": {
-          type: "object[]"
-        },
-        "output.annotations[].annotation_level": {
-          enum: ["notice", "warning", "failure"],
-          required: true,
-          type: "string"
-        },
-        "output.annotations[].end_column": {
-          type: "integer"
-        },
-        "output.annotations[].end_line": {
-          required: true,
-          type: "integer"
-        },
-        "output.annotations[].message": {
-          required: true,
-          type: "string"
-        },
-        "output.annotations[].path": {
-          required: true,
-          type: "string"
-        },
-        "output.annotations[].raw_details": {
-          type: "string"
-        },
-        "output.annotations[].start_column": {
-          type: "integer"
-        },
-        "output.annotations[].start_line": {
-          required: true,
-          type: "integer"
-        },
-        "output.annotations[].title": {
-          type: "string"
-        },
-        "output.images": {
-          type: "object[]"
-        },
-        "output.images[].alt": {
-          required: true,
-          type: "string"
-        },
-        "output.images[].caption": {
-          type: "string"
-        },
-        "output.images[].image_url": {
-          required: true,
-          type: "string"
-        },
-        "output.summary": {
-          required: true,
-          type: "string"
-        },
-        "output.text": {
-          type: "string"
-        },
-        "output.title": {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        started_at: {
-          type: "string"
-        },
-        status: {
-          enum: ["queued", "in_progress", "completed"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-runs"
-    },
-    createSuite: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "POST",
-      params: {
-        head_sha: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-suites"
-    },
-    get: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "GET",
-      params: {
-        check_run_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-runs/:check_run_id"
-    },
-    getSuite: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "GET",
-      params: {
-        check_suite_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-suites/:check_suite_id"
-    },
-    listAnnotations: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "GET",
-      params: {
-        check_run_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-runs/:check_run_id/annotations"
-    },
-    listForRef: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "GET",
-      params: {
-        check_name: {
-          type: "string"
-        },
-        filter: {
-          enum: ["latest", "all"],
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        status: {
-          enum: ["queued", "in_progress", "completed"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/commits/:ref/check-runs"
-    },
-    listForSuite: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "GET",
-      params: {
-        check_name: {
-          type: "string"
-        },
-        check_suite_id: {
-          required: true,
-          type: "integer"
-        },
-        filter: {
-          enum: ["latest", "all"],
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        status: {
-          enum: ["queued", "in_progress", "completed"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-suites/:check_suite_id/check-runs"
-    },
-    listSuitesForRef: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "GET",
-      params: {
-        app_id: {
-          type: "integer"
-        },
-        check_name: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/commits/:ref/check-suites"
-    },
-    rerequestSuite: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "POST",
-      params: {
-        check_suite_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-suites/:check_suite_id/rerequest"
-    },
-    setSuitesPreferences: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "PATCH",
-      params: {
-        auto_trigger_checks: {
-          type: "object[]"
-        },
-        "auto_trigger_checks[].app_id": {
-          required: true,
-          type: "integer"
-        },
-        "auto_trigger_checks[].setting": {
-          required: true,
-          type: "boolean"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-suites/preferences"
-    },
-    update: {
-      headers: {
-        accept: "application/vnd.github.antiope-preview+json"
-      },
-      method: "PATCH",
-      params: {
-        actions: {
-          type: "object[]"
-        },
-        "actions[].description": {
-          required: true,
-          type: "string"
-        },
-        "actions[].identifier": {
-          required: true,
-          type: "string"
-        },
-        "actions[].label": {
-          required: true,
-          type: "string"
-        },
-        check_run_id: {
-          required: true,
-          type: "integer"
-        },
-        completed_at: {
-          type: "string"
-        },
-        conclusion: {
-          enum: ["success", "failure", "neutral", "cancelled", "timed_out", "action_required"],
-          type: "string"
-        },
-        details_url: {
-          type: "string"
-        },
-        external_id: {
-          type: "string"
-        },
-        name: {
-          type: "string"
-        },
-        output: {
-          type: "object"
-        },
-        "output.annotations": {
-          type: "object[]"
-        },
-        "output.annotations[].annotation_level": {
-          enum: ["notice", "warning", "failure"],
-          required: true,
-          type: "string"
-        },
-        "output.annotations[].end_column": {
-          type: "integer"
-        },
-        "output.annotations[].end_line": {
-          required: true,
-          type: "integer"
-        },
-        "output.annotations[].message": {
-          required: true,
-          type: "string"
-        },
-        "output.annotations[].path": {
-          required: true,
-          type: "string"
-        },
-        "output.annotations[].raw_details": {
-          type: "string"
-        },
-        "output.annotations[].start_column": {
-          type: "integer"
-        },
-        "output.annotations[].start_line": {
-          required: true,
-          type: "integer"
-        },
-        "output.annotations[].title": {
-          type: "string"
-        },
-        "output.images": {
-          type: "object[]"
-        },
-        "output.images[].alt": {
-          required: true,
-          type: "string"
-        },
-        "output.images[].caption": {
-          type: "string"
-        },
-        "output.images[].image_url": {
-          required: true,
-          type: "string"
-        },
-        "output.summary": {
-          required: true,
-          type: "string"
-        },
-        "output.text": {
-          type: "string"
-        },
-        "output.title": {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        started_at: {
-          type: "string"
-        },
-        status: {
-          enum: ["queued", "in_progress", "completed"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/check-runs/:check_run_id"
-    }
+    create: ["POST /repos/{owner}/{repo}/check-runs", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    createSuite: ["POST /repos/{owner}/{repo}/check-suites", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    get: ["GET /repos/{owner}/{repo}/check-runs/{check_run_id}", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    getSuite: ["GET /repos/{owner}/{repo}/check-suites/{check_suite_id}", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    listAnnotations: ["GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    listForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/check-runs", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    listForSuite: ["GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    listSuitesForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/check-suites", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    rerequestSuite: ["POST /repos/{owner}/{repo}/check-suites/{check_suite_id}/rerequest", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    setSuitesPreferences: ["PATCH /repos/{owner}/{repo}/check-suites/preferences", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }],
+    update: ["PATCH /repos/{owner}/{repo}/check-runs/{check_run_id}", {
+      mediaType: {
+        previews: ["antiope"]
+      }
+    }]
+  },
+  codeScanning: {
+    getAlert: ["GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_id}"],
+    listAlertsForRepo: ["GET /repos/{owner}/{repo}/code-scanning/alerts"]
   },
   codesOfConduct: {
-    getConductCode: {
-      headers: {
-        accept: "application/vnd.github.scarlet-witch-preview+json"
-      },
-      method: "GET",
-      params: {
-        key: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/codes_of_conduct/:key"
-    },
-    getForRepo: {
-      headers: {
-        accept: "application/vnd.github.scarlet-witch-preview+json"
-      },
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/community/code_of_conduct"
-    },
-    listConductCodes: {
-      headers: {
-        accept: "application/vnd.github.scarlet-witch-preview+json"
-      },
-      method: "GET",
-      params: {},
-      url: "/codes_of_conduct"
-    }
+    getAllCodesOfConduct: ["GET /codes_of_conduct", {
+      mediaType: {
+        previews: ["scarlet-witch"]
+      }
+    }],
+    getConductCode: ["GET /codes_of_conduct/{key}", {
+      mediaType: {
+        previews: ["scarlet-witch"]
+      }
+    }],
+    getForRepo: ["GET /repos/{owner}/{repo}/community/code_of_conduct", {
+      mediaType: {
+        previews: ["scarlet-witch"]
+      }
+    }]
   },
   emojis: {
-    get: {
-      method: "GET",
-      params: {},
-      url: "/emojis"
-    }
+    get: ["GET /emojis"]
   },
   gists: {
-    checkIsStarred: {
-      method: "GET",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/star"
-    },
-    create: {
-      method: "POST",
-      params: {
-        description: {
-          type: "string"
-        },
-        files: {
-          required: true,
-          type: "object"
-        },
-        "files.content": {
-          type: "string"
-        },
-        public: {
-          type: "boolean"
-        }
-      },
-      url: "/gists"
-    },
-    createComment: {
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/comments"
-    },
-    delete: {
-      method: "DELETE",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id"
-    },
-    deleteComment: {
-      method: "DELETE",
-      params: {
-        comment_id: {
-          required: true,
-          type: "integer"
-        },
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/comments/:comment_id"
-    },
-    fork: {
-      method: "POST",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/forks"
-    },
-    get: {
-      method: "GET",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id"
-    },
-    getComment: {
-      method: "GET",
-      params: {
-        comment_id: {
-          required: true,
-          type: "integer"
-        },
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/comments/:comment_id"
-    },
-    getRevision: {
-      method: "GET",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/:sha"
-    },
-    list: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        }
-      },
-      url: "/gists"
-    },
-    listComments: {
-      method: "GET",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/gists/:gist_id/comments"
-    },
-    listCommits: {
-      method: "GET",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/gists/:gist_id/commits"
-    },
-    listForks: {
-      method: "GET",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/gists/:gist_id/forks"
-    },
-    listPublic: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        }
-      },
-      url: "/gists/public"
-    },
-    listPublicForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/gists"
-    },
-    listStarred: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        }
-      },
-      url: "/gists/starred"
-    },
-    star: {
-      method: "PUT",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/star"
-    },
-    unstar: {
-      method: "DELETE",
-      params: {
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/star"
-    },
-    update: {
-      method: "PATCH",
-      params: {
-        description: {
-          type: "string"
-        },
-        files: {
-          type: "object"
-        },
-        "files.content": {
-          type: "string"
-        },
-        "files.filename": {
-          type: "string"
-        },
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id"
-    },
-    updateComment: {
-      method: "PATCH",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        comment_id: {
-          required: true,
-          type: "integer"
-        },
-        gist_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gists/:gist_id/comments/:comment_id"
-    }
+    checkIsStarred: ["GET /gists/{gist_id}/star"],
+    create: ["POST /gists"],
+    createComment: ["POST /gists/{gist_id}/comments"],
+    delete: ["DELETE /gists/{gist_id}"],
+    deleteComment: ["DELETE /gists/{gist_id}/comments/{comment_id}"],
+    fork: ["POST /gists/{gist_id}/forks"],
+    get: ["GET /gists/{gist_id}"],
+    getComment: ["GET /gists/{gist_id}/comments/{comment_id}"],
+    getRevision: ["GET /gists/{gist_id}/{sha}"],
+    list: ["GET /gists"],
+    listComments: ["GET /gists/{gist_id}/comments"],
+    listCommits: ["GET /gists/{gist_id}/commits"],
+    listForUser: ["GET /users/{username}/gists"],
+    listForks: ["GET /gists/{gist_id}/forks"],
+    listPublic: ["GET /gists/public"],
+    listStarred: ["GET /gists/starred"],
+    star: ["PUT /gists/{gist_id}/star"],
+    unstar: ["DELETE /gists/{gist_id}/star"],
+    update: ["PATCH /gists/{gist_id}"],
+    updateComment: ["PATCH /gists/{gist_id}/comments/{comment_id}"]
   },
   git: {
-    createBlob: {
-      method: "POST",
-      params: {
-        content: {
-          required: true,
-          type: "string"
-        },
-        encoding: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/blobs"
-    },
-    createCommit: {
-      method: "POST",
-      params: {
-        author: {
-          type: "object"
-        },
-        "author.date": {
-          type: "string"
-        },
-        "author.email": {
-          type: "string"
-        },
-        "author.name": {
-          type: "string"
-        },
-        committer: {
-          type: "object"
-        },
-        "committer.date": {
-          type: "string"
-        },
-        "committer.email": {
-          type: "string"
-        },
-        "committer.name": {
-          type: "string"
-        },
-        message: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        parents: {
-          required: true,
-          type: "string[]"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        signature: {
-          type: "string"
-        },
-        tree: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/commits"
-    },
-    createRef: {
-      method: "POST",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/refs"
-    },
-    createTag: {
-      method: "POST",
-      params: {
-        message: {
-          required: true,
-          type: "string"
-        },
-        object: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        tag: {
-          required: true,
-          type: "string"
-        },
-        tagger: {
-          type: "object"
-        },
-        "tagger.date": {
-          type: "string"
-        },
-        "tagger.email": {
-          type: "string"
-        },
-        "tagger.name": {
-          type: "string"
-        },
-        type: {
-          enum: ["commit", "tree", "blob"],
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/tags"
-    },
-    createTree: {
-      method: "POST",
-      params: {
-        base_tree: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        tree: {
-          required: true,
-          type: "object[]"
-        },
-        "tree[].content": {
-          type: "string"
-        },
-        "tree[].mode": {
-          enum: ["100644", "100755", "040000", "160000", "120000"],
-          type: "string"
-        },
-        "tree[].path": {
-          type: "string"
-        },
-        "tree[].sha": {
-          allowNull: true,
-          type: "string"
-        },
-        "tree[].type": {
-          enum: ["blob", "tree", "commit"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/trees"
-    },
-    deleteRef: {
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/refs/:ref"
-    },
-    getBlob: {
-      method: "GET",
-      params: {
-        file_sha: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/blobs/:file_sha"
-    },
-    getCommit: {
-      method: "GET",
-      params: {
-        commit_sha: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/commits/:commit_sha"
-    },
-    getRef: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/ref/:ref"
-    },
-    getTag: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        tag_sha: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/tags/:tag_sha"
-    },
-    getTree: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        recursive: {
-          enum: ["1"],
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        tree_sha: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/trees/:tree_sha"
-    },
-    listMatchingRefs: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/matching-refs/:ref"
-    },
-    listRefs: {
-      method: "GET",
-      params: {
-        namespace: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/refs/:namespace"
-    },
-    updateRef: {
-      method: "PATCH",
-      params: {
-        force: {
-          type: "boolean"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/git/refs/:ref"
-    }
+    createBlob: ["POST /repos/{owner}/{repo}/git/blobs"],
+    createCommit: ["POST /repos/{owner}/{repo}/git/commits"],
+    createRef: ["POST /repos/{owner}/{repo}/git/refs"],
+    createTag: ["POST /repos/{owner}/{repo}/git/tags"],
+    createTree: ["POST /repos/{owner}/{repo}/git/trees"],
+    deleteRef: ["DELETE /repos/{owner}/{repo}/git/refs/{ref}"],
+    getBlob: ["GET /repos/{owner}/{repo}/git/blobs/{file_sha}"],
+    getCommit: ["GET /repos/{owner}/{repo}/git/commits/{commit_sha}"],
+    getRef: ["GET /repos/{owner}/{repo}/git/ref/{ref}"],
+    getTag: ["GET /repos/{owner}/{repo}/git/tags/{tag_sha}"],
+    getTree: ["GET /repos/{owner}/{repo}/git/trees/{tree_sha}"],
+    listMatchingRefs: ["GET /repos/{owner}/{repo}/git/matching-refs/{ref}"],
+    updateRef: ["PATCH /repos/{owner}/{repo}/git/refs/{ref}"]
   },
   gitignore: {
-    getTemplate: {
-      method: "GET",
-      params: {
-        name: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/gitignore/templates/:name"
-    },
-    listTemplates: {
-      method: "GET",
-      params: {},
-      url: "/gitignore/templates"
-    }
+    getAllTemplates: ["GET /gitignore/templates"],
+    getTemplate: ["GET /gitignore/templates/{name}"]
   },
   interactions: {
-    addOrUpdateRestrictionsForOrg: {
-      headers: {
-        accept: "application/vnd.github.sombra-preview+json"
-      },
-      method: "PUT",
-      params: {
-        limit: {
-          enum: ["existing_users", "contributors_only", "collaborators_only"],
-          required: true,
-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/interaction-limits"
-    },
-    addOrUpdateRestrictionsForRepo: {
-      headers: {
-        accept: "application/vnd.github.sombra-preview+json"
-      },
-      method: "PUT",
-      params: {
-        limit: {
-          enum: ["existing_users", "contributors_only", "collaborators_only"],
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/interaction-limits"
-    },
-    getRestrictionsForOrg: {
-      headers: {
-        accept: "application/vnd.github.sombra-preview+json"
-      },
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/interaction-limits"
-    },
-    getRestrictionsForRepo: {
-      headers: {
-        accept: "application/vnd.github.sombra-preview+json"
-      },
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/interaction-limits"
-    },
-    removeRestrictionsForOrg: {
-      headers: {
-        accept: "application/vnd.github.sombra-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/interaction-limits"
-    },
-    removeRestrictionsForRepo: {
-      headers: {
-        accept: "application/vnd.github.sombra-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/interaction-limits"
-    }
+    getRestrictionsForOrg: ["GET /orgs/{org}/interaction-limits", {
+      mediaType: {
+        previews: ["sombra"]
+      }
+    }],
+    getRestrictionsForRepo: ["GET /repos/{owner}/{repo}/interaction-limits", {
+      mediaType: {
+        previews: ["sombra"]
+      }
+    }],
+    removeRestrictionsForOrg: ["DELETE /orgs/{org}/interaction-limits", {
+      mediaType: {
+        previews: ["sombra"]
+      }
+    }],
+    removeRestrictionsForRepo: ["DELETE /repos/{owner}/{repo}/interaction-limits", {
+      mediaType: {
+        previews: ["sombra"]
+      }
+    }],
+    setRestrictionsForOrg: ["PUT /orgs/{org}/interaction-limits", {
+      mediaType: {
+        previews: ["sombra"]
+      }
+    }],
+    setRestrictionsForRepo: ["PUT /repos/{owner}/{repo}/interaction-limits", {
+      mediaType: {
+        previews: ["sombra"]
+      }
+    }]
   },
   issues: {
-    addAssignees: {
-      method: "POST",
-      params: {
-        assignees: {
-          type: "string[]"
-        },
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/assignees"
-    },
-    addLabels: {
-      method: "POST",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        labels: {
-          required: true,
-          type: "string[]"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/labels"
-    },
-    checkAssignee: {
-      method: "GET",
-      params: {
-        assignee: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/assignees/:assignee"
-    },
-    create: {
-      method: "POST",
-      params: {
-        assignee: {
-          type: "string"
-        },
-        assignees: {
-          type: "string[]"
-        },
-        body: {
-          type: "string"
-        },
-        labels: {
-          type: "string[]"
-        },
-        milestone: {
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        title: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues"
-    },
-    createComment: {
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/comments"
-    },
-    createLabel: {
-      method: "POST",
-      params: {
-        color: {
-          required: true,
-          type: "string"
-        },
-        description: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/labels"
-    },
-    createMilestone: {
-      method: "POST",
-      params: {
-        description: {
-          type: "string"
-        },
-        due_on: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        state: {
-          enum: ["open", "closed"],
-          type: "string"
-        },
-        title: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/milestones"
-    },
-    deleteComment: {
-      method: "DELETE",
-      params: {
-        comment_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/comments/:comment_id"
-    },
-    deleteLabel: {
-      method: "DELETE",
-      params: {
-        name: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/labels/:name"
-    },
-    deleteMilestone: {
-      method: "DELETE",
-      params: {
-        milestone_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "milestone_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/milestones/:milestone_number"
-    },
-    get: {
-      method: "GET",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number"
-    },
-    getComment: {
-      method: "GET",
-      params: {
-        comment_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/comments/:comment_id"
-    },
-    getEvent: {
-      method: "GET",
-      params: {
-        event_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/events/:event_id"
-    },
-    getLabel: {
-      method: "GET",
-      params: {
-        name: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/labels/:name"
-    },
-    getMilestone: {
-      method: "GET",
-      params: {
-        milestone_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "milestone_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/milestones/:milestone_number"
-    },
-    list: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        filter: {
-          enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-          type: "string"
-        },
-        labels: {
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        },
-        sort: {
-          enum: ["created", "updated", "comments"],
-          type: "string"
-        },
-        state: {
-          enum: ["open", "closed", "all"],
-          type: "string"
-        }
-      },
-      url: "/issues"
-    },
-    listAssignees: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/assignees"
-    },
-    listComments: {
-      method: "GET",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        since: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/comments"
-    },
-    listCommentsForRepo: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        since: {
-          type: "string"
-        },
-        sort: {
-          enum: ["created", "updated"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/comments"
-    },
-    listEvents: {
-      method: "GET",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/events"
-    },
-    listEventsForRepo: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/events"
-    },
-    listEventsForTimeline: {
-      headers: {
-        accept: "application/vnd.github.mockingbird-preview+json"
-      },
-      method: "GET",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/timeline"
-    },
-    listForAuthenticatedUser: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        filter: {
-          enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-          type: "string"
-        },
-        labels: {
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        },
-        sort: {
-          enum: ["created", "updated", "comments"],
-          type: "string"
-        },
-        state: {
-          enum: ["open", "closed", "all"],
-          type: "string"
-        }
-      },
-      url: "/user/issues"
-    },
-    listForOrg: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        filter: {
-          enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-          type: "string"
-        },
-        labels: {
-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        },
-        sort: {
-          enum: ["created", "updated", "comments"],
-          type: "string"
-        },
-        state: {
-          enum: ["open", "closed", "all"],
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/issues"
-    },
-    listForRepo: {
-      method: "GET",
-      params: {
-        assignee: {
-          type: "string"
-        },
-        creator: {
-          type: "string"
-        },
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        labels: {
-          type: "string"
-        },
-        mentioned: {
-          type: "string"
-        },
-        milestone: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        since: {
-          type: "string"
-        },
-        sort: {
-          enum: ["created", "updated", "comments"],
-          type: "string"
-        },
-        state: {
-          enum: ["open", "closed", "all"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues"
-    },
-    listLabelsForMilestone: {
-      method: "GET",
-      params: {
-        milestone_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "milestone_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/milestones/:milestone_number/labels"
-    },
-    listLabelsForRepo: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/labels"
-    },
-    listLabelsOnIssue: {
-      method: "GET",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/labels"
-    },
-    listMilestonesForRepo: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sort: {
-          enum: ["due_on", "completeness"],
-          type: "string"
-        },
-        state: {
-          enum: ["open", "closed", "all"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/milestones"
-    },
-    lock: {
-      method: "PUT",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        lock_reason: {
-          enum: ["off-topic", "too heated", "resolved", "spam"],
-          type: "string"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/lock"
-    },
-    removeAssignees: {
-      method: "DELETE",
-      params: {
-        assignees: {
-          type: "string[]"
-        },
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/assignees"
-    },
-    removeLabel: {
-      method: "DELETE",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/labels/:name"
-    },
-    removeLabels: {
-      method: "DELETE",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/labels"
-    },
-    replaceLabels: {
-      method: "PUT",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        labels: {
-          type: "string[]"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/labels"
-    },
-    unlock: {
-      method: "DELETE",
-      params: {
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number/lock"
-    },
-    update: {
-      method: "PATCH",
-      params: {
-        assignee: {
-          type: "string"
-        },
-        assignees: {
-          type: "string[]"
-        },
-        body: {
-          type: "string"
-        },
-        issue_number: {
-          required: true,
-          type: "integer"
-        },
-        labels: {
-          type: "string[]"
-        },
-        milestone: {
-          allowNull: true,
-          type: "integer"
-        },
-        number: {
-          alias: "issue_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        state: {
-          enum: ["open", "closed"],
-          type: "string"
-        },
-        title: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/:issue_number"
-    },
-    updateComment: {
-      method: "PATCH",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        comment_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/issues/comments/:comment_id"
-    },
-    updateLabel: {
-      method: "PATCH",
-      params: {
-        color: {
-          type: "string"
-        },
-        current_name: {
-          required: true,
-          type: "string"
-        },
-        description: {
-          type: "string"
-        },
-        name: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/labels/:current_name"
-    },
-    updateMilestone: {
-      method: "PATCH",
-      params: {
-        description: {
-          type: "string"
-        },
-        due_on: {
-          type: "string"
-        },
-        milestone_number: {
-          required: true,
-          type: "integer"
-        },
-        number: {
-          alias: "milestone_number",
-          deprecated: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        state: {
-          enum: ["open", "closed"],
-          type: "string"
-        },
-        title: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/milestones/:milestone_number"
-    }
+    addAssignees: ["POST /repos/{owner}/{repo}/issues/{issue_number}/assignees"],
+    addLabels: ["POST /repos/{owner}/{repo}/issues/{issue_number}/labels"],
+    checkUserCanBeAssigned: ["GET /repos/{owner}/{repo}/assignees/{assignee}"],
+    create: ["POST /repos/{owner}/{repo}/issues"],
+    createComment: ["POST /repos/{owner}/{repo}/issues/{issue_number}/comments"],
+    createLabel: ["POST /repos/{owner}/{repo}/labels"],
+    createMilestone: ["POST /repos/{owner}/{repo}/milestones"],
+    deleteComment: ["DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}"],
+    deleteLabel: ["DELETE /repos/{owner}/{repo}/labels/{name}"],
+    deleteMilestone: ["DELETE /repos/{owner}/{repo}/milestones/{milestone_number}"],
+    get: ["GET /repos/{owner}/{repo}/issues/{issue_number}"],
+    getComment: ["GET /repos/{owner}/{repo}/issues/comments/{comment_id}"],
+    getEvent: ["GET /repos/{owner}/{repo}/issues/events/{event_id}"],
+    getLabel: ["GET /repos/{owner}/{repo}/labels/{name}"],
+    getMilestone: ["GET /repos/{owner}/{repo}/milestones/{milestone_number}"],
+    list: ["GET /issues"],
+    listAssignees: ["GET /repos/{owner}/{repo}/assignees"],
+    listComments: ["GET /repos/{owner}/{repo}/issues/{issue_number}/comments"],
+    listCommentsForRepo: ["GET /repos/{owner}/{repo}/issues/comments"],
+    listEvents: ["GET /repos/{owner}/{repo}/issues/{issue_number}/events"],
+    listEventsForRepo: ["GET /repos/{owner}/{repo}/issues/events"],
+    listEventsForTimeline: ["GET /repos/{owner}/{repo}/issues/{issue_number}/timeline", {
+      mediaType: {
+        previews: ["mockingbird"]
+      }
+    }],
+    listForAuthenticatedUser: ["GET /user/issues"],
+    listForOrg: ["GET /orgs/{org}/issues"],
+    listForRepo: ["GET /repos/{owner}/{repo}/issues"],
+    listLabelsForMilestone: ["GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels"],
+    listLabelsForRepo: ["GET /repos/{owner}/{repo}/labels"],
+    listLabelsOnIssue: ["GET /repos/{owner}/{repo}/issues/{issue_number}/labels"],
+    listMilestones: ["GET /repos/{owner}/{repo}/milestones"],
+    lock: ["PUT /repos/{owner}/{repo}/issues/{issue_number}/lock"],
+    removeAllLabels: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels"],
+    removeAssignees: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/assignees"],
+    removeLabel: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels/{name}"],
+    setLabels: ["PUT /repos/{owner}/{repo}/issues/{issue_number}/labels"],
+    unlock: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/lock"],
+    update: ["PATCH /repos/{owner}/{repo}/issues/{issue_number}"],
+    updateComment: ["PATCH /repos/{owner}/{repo}/issues/comments/{comment_id}"],
+    updateLabel: ["PATCH /repos/{owner}/{repo}/labels/{name}"],
+    updateMilestone: ["PATCH /repos/{owner}/{repo}/milestones/{milestone_number}"]
   },
   licenses: {
-    get: {
-      method: "GET",
-      params: {
-        license: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/licenses/:license"
-    },
-    getForRepo: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/license"
-    },
-    list: {
-      deprecated: "octokit.licenses.list() has been renamed to octokit.licenses.listCommonlyUsed() (2019-03-05)",
-      method: "GET",
-      params: {},
-      url: "/licenses"
-    },
-    listCommonlyUsed: {
-      method: "GET",
-      params: {},
-      url: "/licenses"
-    }
+    get: ["GET /licenses/{license}"],
+    getAllCommonlyUsed: ["GET /licenses"],
+    getForRepo: ["GET /repos/{owner}/{repo}/license"]
   },
   markdown: {
-    render: {
-      method: "POST",
-      params: {
-        context: {
-          type: "string"
-        },
-        mode: {
-          enum: ["markdown", "gfm"],
-          type: "string"
-        },
-        text: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/markdown"
-    },
-    renderRaw: {
+    render: ["POST /markdown"],
+    renderRaw: ["POST /markdown/raw", {
       headers: {
         "content-type": "text/plain; charset=utf-8"
-      },
-      method: "POST",
-      params: {
-        data: {
-          mapTo: "data",
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/markdown/raw"
-    }
+      }
+    }]
   },
   meta: {
-    get: {
-      method: "GET",
-      params: {},
-      url: "/meta"
-    }
+    get: ["GET /meta"]
   },
   migrations: {
-    cancelImport: {
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/import"
-    },
-    deleteArchiveForAuthenticatedUser: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/migrations/:migration_id/archive"
-    },
-    deleteArchiveForOrg: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/migrations/:migration_id/archive"
-    },
-    downloadArchiveForOrg: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/migrations/:migration_id/archive"
-    },
-    getArchiveForAuthenticatedUser: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/migrations/:migration_id/archive"
-    },
-    getArchiveForOrg: {
-      deprecated: "octokit.migrations.getArchiveForOrg() has been renamed to octokit.migrations.downloadArchiveForOrg() (2020-01-27)",
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/migrations/:migration_id/archive"
-    },
-    getCommitAuthors: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        since: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/import/authors"
-    },
-    getImportProgress: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/import"
-    },
-    getLargeFiles: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/import/large_files"
-    },
-    getStatusForAuthenticatedUser: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/migrations/:migration_id"
-    },
-    getStatusForOrg: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/migrations/:migration_id"
-    },
-    listForAuthenticatedUser: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/migrations"
-    },
-    listForOrg: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/orgs/:org/migrations"
-    },
-    listReposForOrg: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/orgs/:org/migrations/:migration_id/repositories"
-    },
-    listReposForUser: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "GET",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/:migration_id/repositories"
-    },
-    mapCommitAuthor: {
-      method: "PATCH",
-      params: {
-        author_id: {
-          required: true,
-          type: "integer"
-        },
-        email: {
-          type: "string"
-        },
-        name: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/import/authors/:author_id"
-    },
-    setLfsPreference: {
-      method: "PATCH",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        use_lfs: {
-          enum: ["opt_in", "opt_out"],
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/import/lfs"
-    },
-    startForAuthenticatedUser: {
-      method: "POST",
-      params: {
-        exclude_attachments: {
-          type: "boolean"
-        },
-        lock_repositories: {
-          type: "boolean"
-        },
-        repositories: {
-          required: true,
-          type: "string[]"
-        }
-      },
-      url: "/user/migrations"
-    },
-    startForOrg: {
-      method: "POST",
-      params: {
-        exclude_attachments: {
-          type: "boolean"
-        },
-        lock_repositories: {
-          type: "boolean"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        repositories: {
-          required: true,
-          type: "string[]"
-        }
-      },
-      url: "/orgs/:org/migrations"
-    },
-    startImport: {
-      method: "PUT",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        tfvc_project: {
-          type: "string"
-        },
-        vcs: {
-          enum: ["subversion", "git", "mercurial", "tfvc"],
-          type: "string"
-        },
-        vcs_password: {
-          type: "string"
-        },
-        vcs_url: {
-          required: true,
-          type: "string"
-        },
-        vcs_username: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/import"
-    },
-    unlockRepoForAuthenticatedUser: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        },
-        repo_name: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/migrations/:migration_id/repos/:repo_name/lock"
-    },
-    unlockRepoForOrg: {
-      headers: {
-        accept: "application/vnd.github.wyandotte-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        migration_id: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        repo_name: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/migrations/:migration_id/repos/:repo_name/lock"
-    },
-    updateImport: {
-      method: "PATCH",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        vcs_password: {
-          type: "string"
-        },
-        vcs_username: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/import"
-    }
-  },
-  oauthAuthorizations: {
-    checkAuthorization: {
-      deprecated: "octokit.oauthAuthorizations.checkAuthorization() has been renamed to octokit.apps.checkAuthorization() (2019-11-05)",
-      method: "GET",
-      params: {
-        access_token: {
-          required: true,
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/tokens/:access_token"
-    },
-    createAuthorization: {
-      deprecated: "octokit.oauthAuthorizations.createAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization",
-      method: "POST",
-      params: {
-        client_id: {
-          type: "string"
-        },
-        client_secret: {
-          type: "string"
-        },
-        fingerprint: {
-          type: "string"
-        },
-        note: {
-          required: true,
-          type: "string"
-        },
-        note_url: {
-          type: "string"
-        },
-        scopes: {
-          type: "string[]"
-        }
-      },
-      url: "/authorizations"
-    },
-    deleteAuthorization: {
-      deprecated: "octokit.oauthAuthorizations.deleteAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization",
-      method: "DELETE",
-      params: {
-        authorization_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/authorizations/:authorization_id"
-    },
-    deleteGrant: {
-      deprecated: "octokit.oauthAuthorizations.deleteGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-a-grant",
-      method: "DELETE",
-      params: {
-        grant_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/applications/grants/:grant_id"
-    },
-    getAuthorization: {
-      deprecated: "octokit.oauthAuthorizations.getAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization",
-      method: "GET",
-      params: {
-        authorization_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/authorizations/:authorization_id"
-    },
-    getGrant: {
-      deprecated: "octokit.oauthAuthorizations.getGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant",
-      method: "GET",
-      params: {
-        grant_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/applications/grants/:grant_id"
-    },
-    getOrCreateAuthorizationForApp: {
-      deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForApp() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app",
-      method: "PUT",
-      params: {
-        client_id: {
-          required: true,
-          type: "string"
-        },
-        client_secret: {
-          required: true,
-          type: "string"
-        },
-        fingerprint: {
-          type: "string"
-        },
-        note: {
-          type: "string"
-        },
-        note_url: {
-          type: "string"
-        },
-        scopes: {
-          type: "string[]"
-        }
-      },
-      url: "/authorizations/clients/:client_id"
-    },
-    getOrCreateAuthorizationForAppAndFingerprint: {
-      deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint",
-      method: "PUT",
-      params: {
-        client_id: {
-          required: true,
-          type: "string"
-        },
-        client_secret: {
-          required: true,
-          type: "string"
-        },
-        fingerprint: {
-          required: true,
-          type: "string"
-        },
-        note: {
-          type: "string"
-        },
-        note_url: {
-          type: "string"
-        },
-        scopes: {
-          type: "string[]"
-        }
-      },
-      url: "/authorizations/clients/:client_id/:fingerprint"
-    },
-    getOrCreateAuthorizationForAppFingerprint: {
-      deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint() has been renamed to octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() (2018-12-27)",
-      method: "PUT",
-      params: {
-        client_id: {
-          required: true,
-          type: "string"
-        },
-        client_secret: {
-          required: true,
-          type: "string"
-        },
-        fingerprint: {
-          required: true,
-          type: "string"
-        },
-        note: {
-          type: "string"
-        },
-        note_url: {
-          type: "string"
-        },
-        scopes: {
-          type: "string[]"
-        }
-      },
-      url: "/authorizations/clients/:client_id/:fingerprint"
-    },
-    listAuthorizations: {
-      deprecated: "octokit.oauthAuthorizations.listAuthorizations() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations",
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/authorizations"
-    },
-    listGrants: {
-      deprecated: "octokit.oauthAuthorizations.listGrants() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-grants",
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/applications/grants"
-    },
-    resetAuthorization: {
-      deprecated: "octokit.oauthAuthorizations.resetAuthorization() has been renamed to octokit.apps.resetAuthorization() (2019-11-05)",
-      method: "POST",
-      params: {
-        access_token: {
-          required: true,
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/tokens/:access_token"
-    },
-    revokeAuthorizationForApplication: {
-      deprecated: "octokit.oauthAuthorizations.revokeAuthorizationForApplication() has been renamed to octokit.apps.revokeAuthorizationForApplication() (2019-11-05)",
-      method: "DELETE",
-      params: {
-        access_token: {
-          required: true,
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/tokens/:access_token"
-    },
-    revokeGrantForApplication: {
-      deprecated: "octokit.oauthAuthorizations.revokeGrantForApplication() has been renamed to octokit.apps.revokeGrantForApplication() (2019-11-05)",
-      method: "DELETE",
-      params: {
-        access_token: {
-          required: true,
-          type: "string"
-        },
-        client_id: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/applications/:client_id/grants/:access_token"
-    },
-    updateAuthorization: {
-      deprecated: "octokit.oauthAuthorizations.updateAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization",
-      method: "PATCH",
-      params: {
-        add_scopes: {
-          type: "string[]"
-        },
-        authorization_id: {
-          required: true,
-          type: "integer"
-        },
-        fingerprint: {
-          type: "string"
-        },
-        note: {
-          type: "string"
-        },
-        note_url: {
-          type: "string"
-        },
-        remove_scopes: {
-          type: "string[]"
-        },
-        scopes: {
-          type: "string[]"
-        }
-      },
-      url: "/authorizations/:authorization_id"
-    }
-  },
-  orgs: {
-    addOrUpdateMembership: {
-      method: "PUT",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        role: {
-          enum: ["admin", "member"],
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/memberships/:username"
-    },
-    blockUser: {
-      method: "PUT",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/blocks/:username"
-    },
-    checkBlockedUser: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/blocks/:username"
-    },
-    checkMembership: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/members/:username"
-    },
-    checkPublicMembership: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/public_members/:username"
-    },
-    concealMembership: {
-      method: "DELETE",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/public_members/:username"
-    },
-    convertMemberToOutsideCollaborator: {
-      method: "PUT",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/outside_collaborators/:username"
-    },
-    createHook: {
-      method: "POST",
-      params: {
-        active: {
-          type: "boolean"
-        },
-        config: {
-          required: true,
-          type: "object"
-        },
-        "config.content_type": {
-          type: "string"
-        },
-        "config.insecure_ssl": {
-          type: "string"
-        },
-        "config.secret": {
-          type: "string"
-        },
-        "config.url": {
-          required: true,
-          type: "string"
-        },
-        events: {
-          type: "string[]"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/hooks"
-    },
-    createInvitation: {
-      method: "POST",
-      params: {
-        email: {
-          type: "string"
-        },
-        invitee_id: {
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        role: {
-          enum: ["admin", "direct_member", "billing_manager"],
-          type: "string"
-        },
-        team_ids: {
-          type: "integer[]"
-        }
-      },
-      url: "/orgs/:org/invitations"
-    },
-    deleteHook: {
-      method: "DELETE",
-      params: {
-        hook_id: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        }
-      },
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-    createDispatchEvent: {
-      method: "POST",
-      params: {
-        client_payload: {
-          type: "object"
-        },
-        event_type: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/dispatches"
-    },
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-      deprecated: "octokit.repos.createFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)",
-      method: "PUT",
-      params: {
-        author: {
-          type: "object"
-        },
-        "author.email": {
-          required: true,
-          type: "string"
-        },
-        "author.name": {
-          required: true,
-          type: "string"
-        },
-        branch: {
-          type: "string"
-        },
-        committer: {
-          type: "object"
-        },
-        "committer.email": {
-          required: true,
-          type: "string"
-        },
-        "committer.name": {
-          required: true,
-          type: "string"
-        },
-        content: {
-          required: true,
-          type: "string"
-        },
-        message: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        path: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/contents/:path"
-    },
-    createForAuthenticatedUser: {
-      method: "POST",
-      params: {
-        allow_merge_commit: {
-          type: "boolean"
-        },
-        allow_rebase_merge: {
-          type: "boolean"
-        },
-        allow_squash_merge: {
-          type: "boolean"
-        },
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-          type: "boolean"
-        },
-        delete_branch_on_merge: {
-          type: "boolean"
-        },
-        description: {
-          type: "string"
-        },
-        gitignore_template: {
-          type: "string"
-        },
-        has_issues: {
-          type: "boolean"
-        },
-        has_projects: {
-          type: "boolean"
-        },
-        has_wiki: {
-          type: "boolean"
-        },
-        homepage: {
-          type: "string"
-        },
-        is_template: {
-          type: "boolean"
-        },
-        license_template: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        private: {
-          type: "boolean"
-        },
-        team_id: {
-          type: "integer"
-        },
-        visibility: {
-          enum: ["public", "private", "visibility", "internal"],
-          type: "string"
-        }
-      },
-      url: "/user/repos"
-    },
-    createFork: {
-      method: "POST",
-      params: {
-        organization: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/forks"
-    },
-    createHook: {
-      method: "POST",
-      params: {
-        active: {
-          type: "boolean"
-        },
-        config: {
-          required: true,
-          type: "object"
-        },
-        "config.content_type": {
-          type: "string"
-        },
-        "config.insecure_ssl": {
-          type: "string"
-        },
-        "config.secret": {
-          type: "string"
-        },
-        "config.url": {
-          required: true,
-          type: "string"
-        },
-        events: {
-          type: "string[]"
-        },
-        name: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/hooks"
-    },
-    createInOrg: {
-      method: "POST",
-      params: {
-        allow_merge_commit: {
-          type: "boolean"
-        },
-        allow_rebase_merge: {
-          type: "boolean"
-        },
-        allow_squash_merge: {
-          type: "boolean"
-        },
-        auto_init: {
-          type: "boolean"
-        },
-        delete_branch_on_merge: {
-          type: "boolean"
-        },
-        description: {
-          type: "string"
-        },
-        gitignore_template: {
-          type: "string"
-        },
-        has_issues: {
-          type: "boolean"
-        },
-        has_projects: {
-          type: "boolean"
-        },
-        has_wiki: {
-          type: "boolean"
-        },
-        homepage: {
-          type: "string"
-        },
-        is_template: {
-          type: "boolean"
-        },
-        license_template: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        private: {
-          type: "boolean"
-        },
-        team_id: {
-          type: "integer"
-        },
-        visibility: {
-          enum: ["public", "private", "visibility", "internal"],
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/repos"
-    },
-    createOrUpdateFile: {
-      method: "PUT",
-      params: {
-        author: {
-          type: "object"
-        },
-        "author.email": {
-          required: true,
-          type: "string"
-        },
-        "author.name": {
-          required: true,
-          type: "string"
-        },
-        branch: {
-          type: "string"
-        },
-        committer: {
-          type: "object"
-        },
-        "committer.email": {
-          required: true,
-          type: "string"
-        },
-        "committer.name": {
-          required: true,
-          type: "string"
-        },
-        content: {
-          required: true,
-          type: "string"
-        },
-        message: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        path: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/contents/:path"
-    },
-    createRelease: {
-      method: "POST",
-      params: {
-        body: {
-          type: "string"
-        },
-        draft: {
-          type: "boolean"
-        },
-        name: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        prerelease: {
-          type: "boolean"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        tag_name: {
-          required: true,
-          type: "string"
-        },
-        target_commitish: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases"
-    },
-    createStatus: {
-      method: "POST",
-      params: {
-        context: {
-          type: "string"
-        },
-        description: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          required: true,
-          type: "string"
-        },
-        state: {
-          enum: ["error", "failure", "pending", "success"],
-          required: true,
-          type: "string"
-        },
-        target_url: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/statuses/:sha"
-    },
-    createUsingTemplate: {
-      headers: {
-        accept: "application/vnd.github.baptiste-preview+json"
-      },
-      method: "POST",
-      params: {
-        description: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          type: "string"
-        },
-        private: {
-          type: "boolean"
-        },
-        template_owner: {
-          required: true,
-          type: "string"
-        },
-        template_repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:template_owner/:template_repo/generate"
-    },
-    declineInvitation: {
-      method: "DELETE",
-      params: {
-        invitation_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/repository_invitations/:invitation_id"
-    },
-    delete: {
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo"
-    },
-    deleteCommitComment: {
-      method: "DELETE",
-      params: {
-        comment_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/comments/:comment_id"
-    },
-    deleteDownload: {
-      method: "DELETE",
-      params: {
-        download_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/downloads/:download_id"
-    },
-    deleteFile: {
-      method: "DELETE",
-      params: {
-        author: {
-          type: "object"
-        },
-        "author.email": {
-          type: "string"
-        },
-        "author.name": {
-          type: "string"
-        },
-        branch: {
-          type: "string"
-        },
-        committer: {
-          type: "object"
-        },
-        "committer.email": {
-          type: "string"
-        },
-        "committer.name": {
-          type: "string"
-        },
-        message: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        path: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/contents/:path"
-    },
-    deleteHook: {
-      method: "DELETE",
-      params: {
-        hook_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/hooks/:hook_id"
-    },
-    deleteInvitation: {
-      method: "DELETE",
-      params: {
-        invitation_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/invitations/:invitation_id"
-    },
-    deleteRelease: {
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        release_id: {
-          required: true,
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/:release_id"
-    },
-    deleteReleaseAsset: {
-      method: "DELETE",
-      params: {
-        asset_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/assets/:asset_id"
-    },
-    disableAutomatedSecurityFixes: {
-      headers: {
-        accept: "application/vnd.github.london-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/automated-security-fixes"
-    },
-    disablePagesSite: {
-      headers: {
-        accept: "application/vnd.github.switcheroo-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/pages"
-    },
-    disableVulnerabilityAlerts: {
-      headers: {
-        accept: "application/vnd.github.dorian-preview+json"
-      },
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/vulnerability-alerts"
-    },
-    enableAutomatedSecurityFixes: {
-      headers: {
-        accept: "application/vnd.github.london-preview+json"
-      },
-      method: "PUT",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/automated-security-fixes"
-    },
-    enablePagesSite: {
-      headers: {
-        accept: "application/vnd.github.switcheroo-preview+json"
-      },
-      method: "POST",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        source: {
-          type: "object"
-        },
-        "source.branch": {
-          enum: ["master", "gh-pages"],
-          type: "string"
-        },
-        "source.path": {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/pages"
-    },
-    enableVulnerabilityAlerts: {
-      headers: {
-        accept: "application/vnd.github.dorian-preview+json"
-      },
-      method: "PUT",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/vulnerability-alerts"
-    },
-    get: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo"
-    },
-    getAppsWithAccessToProtectedBranch: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-    },
-    getArchiveLink: {
-      method: "GET",
-      params: {
-        archive_format: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/:archive_format/:ref"
-    },
-    getBranch: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch"
-    },
-    getBranchProtection: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection"
-    },
-    getClones: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        per: {
-          enum: ["day", "week"],
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/traffic/clones"
-    },
-    getCodeFrequencyStats: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/stats/code_frequency"
-    },
-    getCollaboratorPermissionLevel: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/collaborators/:username/permission"
-    },
-    getCombinedStatusForRef: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/commits/:ref/status"
-    },
-    getCommit: {
-      method: "GET",
-      params: {
-        commit_sha: {
-          alias: "ref",
-          deprecated: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          alias: "ref",
-          deprecated: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/commits/:ref"
-    },
-    getCommitActivityStats: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/stats/commit_activity"
-    },
-    getCommitComment: {
-      method: "GET",
-      params: {
-        comment_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/comments/:comment_id"
-    },
-    getCommitRefSha: {
-      deprecated: "octokit.repos.getCommitRefSha() is deprecated, see https://developer.github.com/v3/repos/commits/#get-a-single-commit",
-      headers: {
-        accept: "application/vnd.github.v3.sha"
-      },
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/commits/:ref"
-    },
-    getContents: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        path: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/contents/:path"
-    },
-    getContributorsStats: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/stats/contributors"
-    },
-    getDeployKey: {
-      method: "GET",
-      params: {
-        key_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/keys/:key_id"
-    },
-    getDeployment: {
-      method: "GET",
-      params: {
-        deployment_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/deployments/:deployment_id"
-    },
-    getDeploymentStatus: {
-      method: "GET",
-      params: {
-        deployment_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        status_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id"
-    },
-    getDownload: {
-      method: "GET",
-      params: {
-        download_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/downloads/:download_id"
-    },
-    getHook: {
-      method: "GET",
-      params: {
-        hook_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/hooks/:hook_id"
-    },
-    getLatestPagesBuild: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/pages/builds/latest"
-    },
-    getLatestRelease: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/latest"
-    },
-    getPages: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/pages"
-    },
-    getPagesBuild: {
-      method: "GET",
-      params: {
-        build_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/pages/builds/:build_id"
-    },
-    getParticipationStats: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/stats/participation"
-    },
-    getProtectedBranchAdminEnforcement: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins"
-    },
-    getProtectedBranchPullRequestReviewEnforcement: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-    },
-    getProtectedBranchRequiredSignatures: {
-      headers: {
-        accept: "application/vnd.github.zzzax-preview+json"
-      },
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures"
-    },
-    getProtectedBranchRequiredStatusChecks: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks"
-    },
-    getProtectedBranchRestrictions: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions"
-    },
-    getPunchCardStats: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/stats/punch_card"
-    },
-    getReadme: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        ref: {
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/readme"
-    },
-    getRelease: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        release_id: {
-          required: true,
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/:release_id"
-    },
-    getReleaseAsset: {
-      method: "GET",
-      params: {
-        asset_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/assets/:asset_id"
-    },
-    getReleaseByTag: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        tag: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/tags/:tag"
-    },
-    getTeamsWithAccessToProtectedBranch: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-    },
-    getTopPaths: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/traffic/popular/paths"
-    },
-    getTopReferrers: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/traffic/popular/referrers"
-    },
-    getUsersWithAccessToProtectedBranch: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-    },
-    getViews: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        per: {
-          enum: ["day", "week"],
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/traffic/views"
-    },
-    list: {
-      method: "GET",
-      params: {
-        affiliation: {
-          type: "string"
-        },
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        sort: {
-          enum: ["created", "updated", "pushed", "full_name"],
-          type: "string"
-        },
-        type: {
-          enum: ["all", "owner", "public", "private", "member"],
-          type: "string"
-        },
-        visibility: {
-          enum: ["all", "public", "private"],
-          type: "string"
-        }
-      },
-      url: "/user/repos"
-    },
-    listAppsWithAccessToProtectedBranch: {
-      deprecated: "octokit.repos.listAppsWithAccessToProtectedBranch() has been renamed to octokit.repos.getAppsWithAccessToProtectedBranch() (2019-09-13)",
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-    },
-    listAssetsForRelease: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        release_id: {
-          required: true,
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/:release_id/assets"
-    },
-    listBranches: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        protected: {
-          type: "boolean"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches"
-    },
-    listBranchesForHeadCommit: {
-      headers: {
-        accept: "application/vnd.github.groot-preview+json"
-      },
-      method: "GET",
-      params: {
-        commit_sha: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/commits/:commit_sha/branches-where-head"
-    },
-    listCollaborators: {
-      method: "GET",
-      params: {
-        affiliation: {
-          enum: ["outside", "direct", "all"],
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/collaborators"
-    },
-    listCommentsForCommit: {
-      method: "GET",
-      params: {
-        commit_sha: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        ref: {
-          alias: "commit_sha",
-          deprecated: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/commits/:commit_sha/comments"
-    },
-    listCommitComments: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/comments"
-    },
-    listCommits: {
-      method: "GET",
-      params: {
-        author: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        path: {
-          type: "string"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          type: "string"
-        },
-        since: {
-          type: "string"
-        },
-        until: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/commits"
-    },
-    listContributors: {
-      method: "GET",
-      params: {
-        anon: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/contributors"
-    },
-    listDeployKeys: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/keys"
-    },
-    listDeploymentStatuses: {
-      method: "GET",
-      params: {
-        deployment_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/deployments/:deployment_id/statuses"
-    },
-    listDeployments: {
-      method: "GET",
-      params: {
-        environment: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        ref: {
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          type: "string"
-        },
-        task: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/deployments"
-    },
-    listDownloads: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/downloads"
-    },
-    listForOrg: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        sort: {
-          enum: ["created", "updated", "pushed", "full_name"],
-          type: "string"
-        },
-        type: {
-          enum: ["all", "public", "private", "forks", "sources", "member", "internal"],
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/repos"
-    },
-    listForUser: {
-      method: "GET",
-      params: {
-        direction: {
-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        sort: {
-          enum: ["created", "updated", "pushed", "full_name"],
-          type: "string"
-        },
-        type: {
-          enum: ["all", "owner", "member"],
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/repos"
-    },
-    listForks: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sort: {
-          enum: ["newest", "oldest", "stargazers"],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/forks"
-    },
-    listHooks: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/hooks"
-    },
-    listInvitations: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/invitations"
-    },
-    listInvitationsForAuthenticatedUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/repository_invitations"
-    },
-    listLanguages: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/languages"
-    },
-    listPagesBuilds: {
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/pages/builds"
-    },
-    listProtectedBranchRequiredStatusChecksContexts: {
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-    },
-    listProtectedBranchTeamRestrictions: {
-      deprecated: "octokit.repos.listProtectedBranchTeamRestrictions() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-09)",
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-    },
-    listProtectedBranchUserRestrictions: {
-      deprecated: "octokit.repos.listProtectedBranchUserRestrictions() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-09)",
-      method: "GET",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-    },
-    listPublic: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "integer"
-        }
-      },
-      url: "/repositories"
-    },
-    listPullRequestsAssociatedWithCommit: {
-      headers: {
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-      },
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-    listStatusesForRef: {
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-    },
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-      params: {
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-          type: "string"
-        },
-        page: {
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-      params: {
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-        },
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-    },
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-      method: "GET",
-      params: {
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-        },
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-      },
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-    },
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-      params: {
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-        },
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-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/merges"
-    },
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-      params: {
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-          type: "integer"
-        },
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-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/hooks/:hook_id/pings"
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-      params: {
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-          type: "string"
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-          type: "string"
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-      params: {
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-          type: "string"
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-          type: "string"
-        },
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-          type: "string"
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-      },
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-    },
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-      params: {
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-          required: true,
-          type: "integer"
-        },
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-          type: "string"
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-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/keys/:key_id"
-    },
-    removeProtectedBranchAdminEnforcement: {
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-      params: {
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-          type: "string"
-        },
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-          type: "string"
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-      },
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-    },
-    removeProtectedBranchAppRestrictions: {
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-      params: {
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-          type: "string"
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-        },
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-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-    },
-    removeProtectedBranchPullRequestReviewEnforcement: {
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-      params: {
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-          type: "string"
-        },
-        owner: {
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-          type: "string"
-        },
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-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-    },
-    removeProtectedBranchRequiredSignatures: {
-      headers: {
-        accept: "application/vnd.github.zzzax-preview+json"
-      },
-      method: "DELETE",
-      params: {
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-          type: "string"
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-          type: "string"
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-          type: "string"
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-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures"
-    },
-    removeProtectedBranchRequiredStatusChecks: {
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-      params: {
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-          type: "string"
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-          type: "string"
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-      },
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-    },
-    removeProtectedBranchRequiredStatusChecksContexts: {
-      method: "DELETE",
-      params: {
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-        },
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-          type: "string"
-        },
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-          type: "string"
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-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-    },
-    removeProtectedBranchRestrictions: {
-      method: "DELETE",
-      params: {
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-          required: true,
-          type: "string"
-        },
-        owner: {
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-          type: "string"
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-        repo: {
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-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions"
-    },
-    removeProtectedBranchTeamRestrictions: {
-      method: "DELETE",
-      params: {
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-          type: "string"
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-        owner: {
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-          type: "string"
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-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-    },
-    removeProtectedBranchUserRestrictions: {
-      method: "DELETE",
-      params: {
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-        owner: {
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-    },
-    replaceProtectedBranchAppRestrictions: {
-      method: "PUT",
-      params: {
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-          required: true,
-          type: "string[]"
-        },
-        branch: {
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-          type: "string"
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-          type: "string"
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-          type: "string"
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-      },
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-    },
-    replaceProtectedBranchRequiredStatusChecksContexts: {
-      method: "PUT",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        contexts: {
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-    replaceProtectedBranchTeamRestrictions: {
-      method: "PUT",
-      params: {
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-          type: "string"
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-        owner: {
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-          type: "string"
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-      },
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-    },
-    replaceProtectedBranchUserRestrictions: {
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-      params: {
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-          type: "string"
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-      method: "PUT",
-      params: {
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-      url: "/repos/:owner/:repo/topics"
-    },
-    requestPageBuild: {
-      method: "POST",
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-          type: "string"
-        },
-        repo: {
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-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/pages/builds"
-    },
-    retrieveCommunityProfileMetrics: {
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-      params: {
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-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
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-      },
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-    },
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-      params: {
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-          type: "integer"
-        },
-        owner: {
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-        }
-      },
-      url: "/repos/:owner/:repo/hooks/:hook_id/tests"
-    },
-    transfer: {
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-      params: {
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-          type: "string"
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-        team_ids: {
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-    update: {
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-      params: {
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-        allow_rebase_merge: {
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-      },
-      url: "/repos/:owner/:repo"
-    },
-    updateBranchProtection: {
-      method: "PUT",
-      params: {
-        allow_deletions: {
-          type: "boolean"
-        },
-        allow_force_pushes: {
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-          type: "boolean"
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-        }
-      },
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-    },
-    updateCommitComment: {
-      method: "PATCH",
-      params: {
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-          type: "string"
-        },
-        comment_id: {
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-          type: "integer"
-        },
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-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/comments/:comment_id"
-    },
-    updateFile: {
-      deprecated: "octokit.repos.updateFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)",
-      method: "PUT",
-      params: {
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-          type: "object"
-        },
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-          type: "string"
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-          type: "string"
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-        },
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-          type: "string"
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-        "committer.name": {
-          required: true,
-          type: "string"
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-        content: {
-          required: true,
-          type: "string"
-        },
-        message: {
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-          type: "string"
-        },
-        owner: {
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-          type: "string"
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-        path: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        sha: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/contents/:path"
-    },
-    updateHook: {
-      method: "PATCH",
-      params: {
-        active: {
-          type: "boolean"
-        },
-        add_events: {
-          type: "string[]"
-        },
-        config: {
-          type: "object"
-        },
-        "config.content_type": {
-          type: "string"
-        },
-        "config.insecure_ssl": {
-          type: "string"
-        },
-        "config.secret": {
-          type: "string"
-        },
-        "config.url": {
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-          type: "string"
-        },
-        events: {
-          type: "string[]"
-        },
-        hook_id: {
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-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        remove_events: {
-          type: "string[]"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/hooks/:hook_id"
-    },
-    updateInformationAboutPagesSite: {
-      method: "PUT",
-      params: {
-        cname: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        source: {
-          enum: ['"gh-pages"', '"master"', '"master /docs"'],
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/pages"
-    },
-    updateInvitation: {
-      method: "PATCH",
-      params: {
-        invitation_id: {
-          required: true,
-          type: "integer"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        permissions: {
-          enum: ["read", "write", "admin"],
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/invitations/:invitation_id"
-    },
-    updateProtectedBranchPullRequestReviewEnforcement: {
-      method: "PATCH",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        dismiss_stale_reviews: {
-          type: "boolean"
-        },
-        dismissal_restrictions: {
-          type: "object"
-        },
-        "dismissal_restrictions.teams": {
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-        },
-        "dismissal_restrictions.users": {
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-        },
-        owner: {
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-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        require_code_owner_reviews: {
-          type: "boolean"
-        },
-        required_approving_review_count: {
-          type: "integer"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-    },
-    updateProtectedBranchRequiredStatusChecks: {
-      method: "PATCH",
-      params: {
-        branch: {
-          required: true,
-          type: "string"
-        },
-        contexts: {
-          type: "string[]"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        strict: {
-          type: "boolean"
-        }
-      },
-      url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks"
-    },
-    updateRelease: {
-      method: "PATCH",
-      params: {
-        body: {
-          type: "string"
-        },
-        draft: {
-          type: "boolean"
-        },
-        name: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        prerelease: {
-          type: "boolean"
-        },
-        release_id: {
-          required: true,
-          type: "integer"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        tag_name: {
-          type: "string"
-        },
-        target_commitish: {
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/:release_id"
-    },
-    updateReleaseAsset: {
-      method: "PATCH",
-      params: {
-        asset_id: {
-          required: true,
-          type: "integer"
-        },
-        label: {
-          type: "string"
-        },
-        name: {
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/repos/:owner/:repo/releases/assets/:asset_id"
-    },
-    uploadReleaseAsset: {
-      method: "POST",
-      params: {
-        data: {
-          mapTo: "data",
-          required: true,
-          type: "string | object"
-        },
-        file: {
-          alias: "data",
-          deprecated: true,
-          type: "string | object"
-        },
-        headers: {
-          required: true,
-          type: "object"
-        },
-        "headers.content-length": {
-          required: true,
-          type: "integer"
-        },
-        "headers.content-type": {
-          required: true,
-          type: "string"
-        },
-        label: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        url: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: ":url"
-    }
+    cancelImport: ["DELETE /repos/{owner}/{repo}/import"],
+    deleteArchiveForAuthenticatedUser: ["DELETE /user/migrations/{migration_id}/archive", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    deleteArchiveForOrg: ["DELETE /orgs/{org}/migrations/{migration_id}/archive", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    downloadArchiveForOrg: ["GET /orgs/{org}/migrations/{migration_id}/archive", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    getArchiveForAuthenticatedUser: ["GET /user/migrations/{migration_id}/archive", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    getCommitAuthors: ["GET /repos/{owner}/{repo}/import/authors"],
+    getImportStatus: ["GET /repos/{owner}/{repo}/import"],
+    getLargeFiles: ["GET /repos/{owner}/{repo}/import/large_files"],
+    getStatusForAuthenticatedUser: ["GET /user/migrations/{migration_id}", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    getStatusForOrg: ["GET /orgs/{org}/migrations/{migration_id}", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    listForAuthenticatedUser: ["GET /user/migrations", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    listForOrg: ["GET /orgs/{org}/migrations", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    listReposForOrg: ["GET /orgs/{org}/migrations/{migration_id}/repositories", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    listReposForUser: ["GET /user/migrations/{migration_id}/repositories", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    mapCommitAuthor: ["PATCH /repos/{owner}/{repo}/import/authors/{author_id}"],
+    setLfsPreference: ["PATCH /repos/{owner}/{repo}/import/lfs"],
+    startForAuthenticatedUser: ["POST /user/migrations"],
+    startForOrg: ["POST /orgs/{org}/migrations"],
+    startImport: ["PUT /repos/{owner}/{repo}/import"],
+    unlockRepoForAuthenticatedUser: ["DELETE /user/migrations/{migration_id}/repos/{repo_name}/lock", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    unlockRepoForOrg: ["DELETE /orgs/{org}/migrations/{migration_id}/repos/{repo_name}/lock", {
+      mediaType: {
+        previews: ["wyandotte"]
+      }
+    }],
+    updateImport: ["PATCH /repos/{owner}/{repo}/import"]
+  },
+  orgs: {
+    blockUser: ["PUT /orgs/{org}/blocks/{username}"],
+    checkBlockedUser: ["GET /orgs/{org}/blocks/{username}"],
+    checkMembershipForUser: ["GET /orgs/{org}/members/{username}"],
+    checkPublicMembershipForUser: ["GET /orgs/{org}/public_members/{username}"],
+    convertMemberToOutsideCollaborator: ["PUT /orgs/{org}/outside_collaborators/{username}"],
+    createInvitation: ["POST /orgs/{org}/invitations"],
+    createWebhook: ["POST /orgs/{org}/hooks"],
+    deleteWebhook: ["DELETE /orgs/{org}/hooks/{hook_id}"],
+    get: ["GET /orgs/{org}"],
+    getMembershipForAuthenticatedUser: ["GET /user/memberships/orgs/{org}"],
+    getMembershipForUser: ["GET /orgs/{org}/memberships/{username}"],
+    getWebhook: ["GET /orgs/{org}/hooks/{hook_id}"],
+    list: ["GET /organizations"],
+    listAppInstallations: ["GET /orgs/{org}/installations", {
+      mediaType: {
+        previews: ["machine-man"]
+      }
+    }],
+    listBlockedUsers: ["GET /orgs/{org}/blocks"],
+    listForAuthenticatedUser: ["GET /user/orgs"],
+    listForUser: ["GET /users/{username}/orgs"],
+    listInvitationTeams: ["GET /orgs/{org}/invitations/{invitation_id}/teams"],
+    listMembers: ["GET /orgs/{org}/members"],
+    listMembershipsForAuthenticatedUser: ["GET /user/memberships/orgs"],
+    listOutsideCollaborators: ["GET /orgs/{org}/outside_collaborators"],
+    listPendingInvitations: ["GET /orgs/{org}/invitations"],
+    listPublicMembers: ["GET /orgs/{org}/public_members"],
+    listWebhooks: ["GET /orgs/{org}/hooks"],
+    pingWebhook: ["POST /orgs/{org}/hooks/{hook_id}/pings"],
+    removeMember: ["DELETE /orgs/{org}/members/{username}"],
+    removeMembershipForUser: ["DELETE /orgs/{org}/memberships/{username}"],
+    removeOutsideCollaborator: ["DELETE /orgs/{org}/outside_collaborators/{username}"],
+    removePublicMembershipForAuthenticatedUser: ["DELETE /orgs/{org}/public_members/{username}"],
+    setMembershipForUser: ["PUT /orgs/{org}/memberships/{username}"],
+    setPublicMembershipForAuthenticatedUser: ["PUT /orgs/{org}/public_members/{username}"],
+    unblockUser: ["DELETE /orgs/{org}/blocks/{username}"],
+    update: ["PATCH /orgs/{org}"],
+    updateMembershipForAuthenticatedUser: ["PATCH /user/memberships/orgs/{org}"],
+    updateWebhook: ["PATCH /orgs/{org}/hooks/{hook_id}"]
+  },
+  projects: {
+    addCollaborator: ["PUT /projects/{project_id}/collaborators/{username}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    createCard: ["POST /projects/columns/{column_id}/cards", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    createColumn: ["POST /projects/{project_id}/columns", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    createForAuthenticatedUser: ["POST /user/projects", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    createForOrg: ["POST /orgs/{org}/projects", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    createForRepo: ["POST /repos/{owner}/{repo}/projects", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    delete: ["DELETE /projects/{project_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    deleteCard: ["DELETE /projects/columns/cards/{card_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    deleteColumn: ["DELETE /projects/columns/{column_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    get: ["GET /projects/{project_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    getCard: ["GET /projects/columns/cards/{card_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    getColumn: ["GET /projects/columns/{column_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    getPermissionForUser: ["GET /projects/{project_id}/collaborators/{username}/permission", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    listCards: ["GET /projects/columns/{column_id}/cards", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    listCollaborators: ["GET /projects/{project_id}/collaborators", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    listColumns: ["GET /projects/{project_id}/columns", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    listForOrg: ["GET /orgs/{org}/projects", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    listForRepo: ["GET /repos/{owner}/{repo}/projects", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    listForUser: ["GET /users/{username}/projects", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    moveCard: ["POST /projects/columns/cards/{card_id}/moves", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    moveColumn: ["POST /projects/columns/{column_id}/moves", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    removeCollaborator: ["DELETE /projects/{project_id}/collaborators/{username}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    update: ["PATCH /projects/{project_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    updateCard: ["PATCH /projects/columns/cards/{card_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    updateColumn: ["PATCH /projects/columns/{column_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }]
+  },
+  pulls: {
+    checkIfMerged: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/merge"],
+    create: ["POST /repos/{owner}/{repo}/pulls"],
+    createReplyForReviewComment: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/comments/{comment_id}/replies"],
+    createReview: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews"],
+    createReviewComment: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/comments"],
+    deletePendingReview: ["DELETE /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}"],
+    deleteReviewComment: ["DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}"],
+    dismissReview: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/dismissals"],
+    get: ["GET /repos/{owner}/{repo}/pulls/{pull_number}"],
+    getReview: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}"],
+    getReviewComment: ["GET /repos/{owner}/{repo}/pulls/comments/{comment_id}"],
+    list: ["GET /repos/{owner}/{repo}/pulls"],
+    listCommentsForReview: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments"],
+    listCommits: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/commits"],
+    listFiles: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/files"],
+    listRequestedReviewers: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers"],
+    listReviewComments: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/comments"],
+    listReviewCommentsForRepo: ["GET /repos/{owner}/{repo}/pulls/comments"],
+    listReviews: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews"],
+    merge: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/merge"],
+    removeRequestedReviewers: ["DELETE /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers"],
+    requestReviewers: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers"],
+    submitReview: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/events"],
+    update: ["PATCH /repos/{owner}/{repo}/pulls/{pull_number}"],
+    updateBranch: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/update-branch", {
+      mediaType: {
+        previews: ["lydian"]
+      }
+    }],
+    updateReview: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}"],
+    updateReviewComment: ["PATCH /repos/{owner}/{repo}/pulls/comments/{comment_id}"]
+  },
+  rateLimit: {
+    get: ["GET /rate_limit"]
+  },
+  reactions: {
+    createForCommitComment: ["POST /repos/{owner}/{repo}/comments/{comment_id}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    createForIssue: ["POST /repos/{owner}/{repo}/issues/{issue_number}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    createForIssueComment: ["POST /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    createForPullRequestReviewComment: ["POST /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    createForTeamDiscussionCommentInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    createForTeamDiscussionInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    deleteForCommitComment: ["DELETE /repos/{owner}/{repo}/comments/{comment_id}/reactions/{reaction_id}", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    deleteForIssue: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/reactions/{reaction_id}", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    deleteForIssueComment: ["DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions/{reaction_id}", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    deleteForPullRequestComment: ["DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions/{reaction_id}", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    deleteForTeamDiscussion: ["DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions/{reaction_id}", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    deleteForTeamDiscussionComment: ["DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions/{reaction_id}", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    deleteLegacy: ["DELETE /reactions/{reaction_id}", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }, {
+      deprecated: "octokit.reactions.deleteLegacy() is deprecated, see https://developer.github.com/v3/reactions/#delete-a-reaction-legacy"
+    }],
+    listForCommitComment: ["GET /repos/{owner}/{repo}/comments/{comment_id}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    listForIssue: ["GET /repos/{owner}/{repo}/issues/{issue_number}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    listForIssueComment: ["GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    listForPullRequestReviewComment: ["GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    listForTeamDiscussionCommentInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }],
+    listForTeamDiscussionInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions", {
+      mediaType: {
+        previews: ["squirrel-girl"]
+      }
+    }]
+  },
+  repos: {
+    acceptInvitation: ["PATCH /user/repository_invitations/{invitation_id}"],
+    addAppAccessRestrictions: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, {
+      mapToData: "apps"
+    }],
+    addCollaborator: ["PUT /repos/{owner}/{repo}/collaborators/{username}"],
+    addStatusCheckContexts: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", {}, {
+      mapToData: "contexts"
+    }],
+    addTeamAccessRestrictions: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", {}, {
+      mapToData: "teams"
+    }],
+    addUserAccessRestrictions: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", {}, {
+      mapToData: "users"
+    }],
+    checkCollaborator: ["GET /repos/{owner}/{repo}/collaborators/{username}"],
+    checkVulnerabilityAlerts: ["GET /repos/{owner}/{repo}/vulnerability-alerts", {
+      mediaType: {
+        previews: ["dorian"]
+      }
+    }],
+    compareCommits: ["GET /repos/{owner}/{repo}/compare/{base}...{head}"],
+    createCommitComment: ["POST /repos/{owner}/{repo}/commits/{commit_sha}/comments"],
+    createCommitSignatureProtection: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures", {
+      mediaType: {
+        previews: ["zzzax"]
+      }
+    }],
+    createCommitStatus: ["POST /repos/{owner}/{repo}/statuses/{sha}"],
+    createDeployKey: ["POST /repos/{owner}/{repo}/keys"],
+    createDeployment: ["POST /repos/{owner}/{repo}/deployments"],
+    createDeploymentStatus: ["POST /repos/{owner}/{repo}/deployments/{deployment_id}/statuses"],
+    createDispatchEvent: ["POST /repos/{owner}/{repo}/dispatches"],
+    createForAuthenticatedUser: ["POST /user/repos"],
+    createFork: ["POST /repos/{owner}/{repo}/forks"],
+    createInOrg: ["POST /orgs/{org}/repos"],
+    createOrUpdateFileContents: ["PUT /repos/{owner}/{repo}/contents/{path}"],
+    createPagesSite: ["POST /repos/{owner}/{repo}/pages", {
+      mediaType: {
+        previews: ["switcheroo"]
+      }
+    }],
+    createRelease: ["POST /repos/{owner}/{repo}/releases"],
+    createUsingTemplate: ["POST /repos/{template_owner}/{template_repo}/generate", {
+      mediaType: {
+        previews: ["baptiste"]
+      }
+    }],
+    createWebhook: ["POST /repos/{owner}/{repo}/hooks"],
+    declineInvitation: ["DELETE /user/repository_invitations/{invitation_id}"],
+    delete: ["DELETE /repos/{owner}/{repo}"],
+    deleteAccessRestrictions: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions"],
+    deleteAdminBranchProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins"],
+    deleteBranchProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection"],
+    deleteCommitComment: ["DELETE /repos/{owner}/{repo}/comments/{comment_id}"],
+    deleteCommitSignatureProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures", {
+      mediaType: {
+        previews: ["zzzax"]
+      }
+    }],
+    deleteDeployKey: ["DELETE /repos/{owner}/{repo}/keys/{key_id}"],
+    deleteDeployment: ["DELETE /repos/{owner}/{repo}/deployments/{deployment_id}"],
+    deleteFile: ["DELETE /repos/{owner}/{repo}/contents/{path}"],
+    deleteInvitation: ["DELETE /repos/{owner}/{repo}/invitations/{invitation_id}"],
+    deletePagesSite: ["DELETE /repos/{owner}/{repo}/pages", {
+      mediaType: {
+        previews: ["switcheroo"]
+      }
+    }],
+    deletePullRequestReviewProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews"],
+    deleteRelease: ["DELETE /repos/{owner}/{repo}/releases/{release_id}"],
+    deleteReleaseAsset: ["DELETE /repos/{owner}/{repo}/releases/assets/{asset_id}"],
+    deleteWebhook: ["DELETE /repos/{owner}/{repo}/hooks/{hook_id}"],
+    disableAutomatedSecurityFixes: ["DELETE /repos/{owner}/{repo}/automated-security-fixes", {
+      mediaType: {
+        previews: ["london"]
+      }
+    }],
+    disableVulnerabilityAlerts: ["DELETE /repos/{owner}/{repo}/vulnerability-alerts", {
+      mediaType: {
+        previews: ["dorian"]
+      }
+    }],
+    downloadArchive: ["GET /repos/{owner}/{repo}/{archive_format}/{ref}"],
+    enableAutomatedSecurityFixes: ["PUT /repos/{owner}/{repo}/automated-security-fixes", {
+      mediaType: {
+        previews: ["london"]
+      }
+    }],
+    enableVulnerabilityAlerts: ["PUT /repos/{owner}/{repo}/vulnerability-alerts", {
+      mediaType: {
+        previews: ["dorian"]
+      }
+    }],
+    get: ["GET /repos/{owner}/{repo}"],
+    getAccessRestrictions: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions"],
+    getAdminBranchProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins"],
+    getAllStatusCheckContexts: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts"],
+    getAllTopics: ["GET /repos/{owner}/{repo}/topics", {
+      mediaType: {
+        previews: ["mercy"]
+      }
+    }],
+    getAppsWithAccessToProtectedBranch: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps"],
+    getBranch: ["GET /repos/{owner}/{repo}/branches/{branch}"],
+    getBranchProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection"],
+    getClones: ["GET /repos/{owner}/{repo}/traffic/clones"],
+    getCodeFrequencyStats: ["GET /repos/{owner}/{repo}/stats/code_frequency"],
+    getCollaboratorPermissionLevel: ["GET /repos/{owner}/{repo}/collaborators/{username}/permission"],
+    getCombinedStatusForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/status"],
+    getCommit: ["GET /repos/{owner}/{repo}/commits/{ref}"],
+    getCommitActivityStats: ["GET /repos/{owner}/{repo}/stats/commit_activity"],
+    getCommitComment: ["GET /repos/{owner}/{repo}/comments/{comment_id}"],
+    getCommitSignatureProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures", {
+      mediaType: {
+        previews: ["zzzax"]
+      }
+    }],
+    getCommunityProfileMetrics: ["GET /repos/{owner}/{repo}/community/profile", {
+      mediaType: {
+        previews: ["black-panther"]
+      }
+    }],
+    getContent: ["GET /repos/{owner}/{repo}/contents/{path}"],
+    getContributorsStats: ["GET /repos/{owner}/{repo}/stats/contributors"],
+    getDeployKey: ["GET /repos/{owner}/{repo}/keys/{key_id}"],
+    getDeployment: ["GET /repos/{owner}/{repo}/deployments/{deployment_id}"],
+    getDeploymentStatus: ["GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses/{status_id}"],
+    getLatestPagesBuild: ["GET /repos/{owner}/{repo}/pages/builds/latest"],
+    getLatestRelease: ["GET /repos/{owner}/{repo}/releases/latest"],
+    getPages: ["GET /repos/{owner}/{repo}/pages"],
+    getPagesBuild: ["GET /repos/{owner}/{repo}/pages/builds/{build_id}"],
+    getParticipationStats: ["GET /repos/{owner}/{repo}/stats/participation"],
+    getPullRequestReviewProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews"],
+    getPunchCardStats: ["GET /repos/{owner}/{repo}/stats/punch_card"],
+    getReadme: ["GET /repos/{owner}/{repo}/readme"],
+    getRelease: ["GET /repos/{owner}/{repo}/releases/{release_id}"],
+    getReleaseAsset: ["GET /repos/{owner}/{repo}/releases/assets/{asset_id}"],
+    getReleaseByTag: ["GET /repos/{owner}/{repo}/releases/tags/{tag}"],
+    getStatusChecksProtection: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks"],
+    getTeamsWithAccessToProtectedBranch: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams"],
+    getTopPaths: ["GET /repos/{owner}/{repo}/traffic/popular/paths"],
+    getTopReferrers: ["GET /repos/{owner}/{repo}/traffic/popular/referrers"],
+    getUsersWithAccessToProtectedBranch: ["GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users"],
+    getViews: ["GET /repos/{owner}/{repo}/traffic/views"],
+    getWebhook: ["GET /repos/{owner}/{repo}/hooks/{hook_id}"],
+    listBranches: ["GET /repos/{owner}/{repo}/branches"],
+    listBranchesForHeadCommit: ["GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head", {
+      mediaType: {
+        previews: ["groot"]
+      }
+    }],
+    listCollaborators: ["GET /repos/{owner}/{repo}/collaborators"],
+    listCommentsForCommit: ["GET /repos/{owner}/{repo}/commits/{commit_sha}/comments"],
+    listCommitCommentsForRepo: ["GET /repos/{owner}/{repo}/comments"],
+    listCommitStatusesForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/statuses"],
+    listCommits: ["GET /repos/{owner}/{repo}/commits"],
+    listContributors: ["GET /repos/{owner}/{repo}/contributors"],
+    listDeployKeys: ["GET /repos/{owner}/{repo}/keys"],
+    listDeploymentStatuses: ["GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses"],
+    listDeployments: ["GET /repos/{owner}/{repo}/deployments"],
+    listForAuthenticatedUser: ["GET /user/repos"],
+    listForOrg: ["GET /orgs/{org}/repos"],
+    listForUser: ["GET /users/{username}/repos"],
+    listForks: ["GET /repos/{owner}/{repo}/forks"],
+    listInvitations: ["GET /repos/{owner}/{repo}/invitations"],
+    listInvitationsForAuthenticatedUser: ["GET /user/repository_invitations"],
+    listLanguages: ["GET /repos/{owner}/{repo}/languages"],
+    listPagesBuilds: ["GET /repos/{owner}/{repo}/pages/builds"],
+    listPublic: ["GET /repositories"],
+    listPullRequestsAssociatedWithCommit: ["GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls", {
+      mediaType: {
+        previews: ["groot"]
+      }
+    }],
+    listReleaseAssets: ["GET /repos/{owner}/{repo}/releases/{release_id}/assets"],
+    listReleases: ["GET /repos/{owner}/{repo}/releases"],
+    listTags: ["GET /repos/{owner}/{repo}/tags"],
+    listTeams: ["GET /repos/{owner}/{repo}/teams"],
+    listWebhooks: ["GET /repos/{owner}/{repo}/hooks"],
+    merge: ["POST /repos/{owner}/{repo}/merges"],
+    pingWebhook: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/pings"],
+    removeAppAccessRestrictions: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, {
+      mapToData: "apps"
+    }],
+    removeCollaborator: ["DELETE /repos/{owner}/{repo}/collaborators/{username}"],
+    removeStatusCheckContexts: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", {}, {
+      mapToData: "contexts"
+    }],
+    removeStatusCheckProtection: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks"],
+    removeTeamAccessRestrictions: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", {}, {
+      mapToData: "teams"
+    }],
+    removeUserAccessRestrictions: ["DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", {}, {
+      mapToData: "users"
+    }],
+    replaceAllTopics: ["PUT /repos/{owner}/{repo}/topics", {
+      mediaType: {
+        previews: ["mercy"]
+      }
+    }],
+    requestPagesBuild: ["POST /repos/{owner}/{repo}/pages/builds"],
+    setAdminBranchProtection: ["POST /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins"],
+    setAppAccessRestrictions: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps", {}, {
+      mapToData: "apps"
+    }],
+    setStatusCheckContexts: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts", {}, {
+      mapToData: "contexts"
+    }],
+    setTeamAccessRestrictions: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams", {}, {
+      mapToData: "teams"
+    }],
+    setUserAccessRestrictions: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users", {}, {
+      mapToData: "users"
+    }],
+    testPushWebhook: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/tests"],
+    transfer: ["POST /repos/{owner}/{repo}/transfer"],
+    update: ["PATCH /repos/{owner}/{repo}"],
+    updateBranchProtection: ["PUT /repos/{owner}/{repo}/branches/{branch}/protection"],
+    updateCommitComment: ["PATCH /repos/{owner}/{repo}/comments/{comment_id}"],
+    updateInformationAboutPagesSite: ["PUT /repos/{owner}/{repo}/pages"],
+    updateInvitation: ["PATCH /repos/{owner}/{repo}/invitations/{invitation_id}"],
+    updatePullRequestReviewProtection: ["PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews"],
+    updateRelease: ["PATCH /repos/{owner}/{repo}/releases/{release_id}"],
+    updateReleaseAsset: ["PATCH /repos/{owner}/{repo}/releases/assets/{asset_id}"],
+    updateStatusCheckPotection: ["PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks"],
+    updateWebhook: ["PATCH /repos/{owner}/{repo}/hooks/{hook_id}"],
+    uploadReleaseAsset: ["POST /repos/{owner}/{repo}/releases/{release_id}/assets{?name,label}", {
+      baseUrl: "https://uploads.github.com"
+    }]
   },
   search: {
-    code: {
-      method: "GET",
-      params: {
-        order: {
-          enum: ["desc", "asc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        q: {
-          required: true,
-          type: "string"
-        },
-        sort: {
-          enum: ["indexed"],
-          type: "string"
-        }
-      },
-      url: "/search/code"
-    },
-    commits: {
-      headers: {
-        accept: "application/vnd.github.cloak-preview+json"
-      },
-      method: "GET",
-      params: {
-        order: {
-          enum: ["desc", "asc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        q: {
-          required: true,
-          type: "string"
-        },
-        sort: {
-          enum: ["author-date", "committer-date"],
-          type: "string"
-        }
-      },
-      url: "/search/commits"
-    },
-    issues: {
-      deprecated: "octokit.search.issues() has been renamed to octokit.search.issuesAndPullRequests() (2018-12-27)",
-      method: "GET",
-      params: {
-        order: {
-          enum: ["desc", "asc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        q: {
-          required: true,
-          type: "string"
-        },
-        sort: {
-          enum: ["comments", "reactions", "reactions-+1", "reactions--1", "reactions-smile", "reactions-thinking_face", "reactions-heart", "reactions-tada", "interactions", "created", "updated"],
-          type: "string"
-        }
-      },
-      url: "/search/issues"
-    },
-    issuesAndPullRequests: {
-      method: "GET",
-      params: {
-        order: {
-          enum: ["desc", "asc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        q: {
-          required: true,
-          type: "string"
-        },
-        sort: {
-          enum: ["comments", "reactions", "reactions-+1", "reactions--1", "reactions-smile", "reactions-thinking_face", "reactions-heart", "reactions-tada", "interactions", "created", "updated"],
-          type: "string"
-        }
-      },
-      url: "/search/issues"
-    },
-    labels: {
-      method: "GET",
-      params: {
-        order: {
-          enum: ["desc", "asc"],
-          type: "string"
-        },
-        q: {
-          required: true,
-          type: "string"
-        },
-        repository_id: {
-          required: true,
-          type: "integer"
-        },
-        sort: {
-          enum: ["created", "updated"],
-          type: "string"
-        }
-      },
-      url: "/search/labels"
-    },
-    repos: {
-      method: "GET",
-      params: {
-        order: {
-          enum: ["desc", "asc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        q: {
-          required: true,
-          type: "string"
-        },
-        sort: {
-          enum: ["stars", "forks", "help-wanted-issues", "updated"],
-          type: "string"
-        }
-      },
-      url: "/search/repositories"
-    },
-    topics: {
-      method: "GET",
-      params: {
-        q: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/search/topics"
-    },
-    users: {
-      method: "GET",
-      params: {
-        order: {
-          enum: ["desc", "asc"],
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        q: {
-          required: true,
-          type: "string"
-        },
-        sort: {
-          enum: ["followers", "repositories", "joined"],
-          type: "string"
-        }
-      },
-      url: "/search/users"
-    }
+    code: ["GET /search/code"],
+    commits: ["GET /search/commits", {
+      mediaType: {
+        previews: ["cloak"]
+      }
+    }],
+    issuesAndPullRequests: ["GET /search/issues"],
+    labels: ["GET /search/labels"],
+    repos: ["GET /search/repositories"],
+    topics: ["GET /search/topics", {
+      mediaType: {
+        previews: ["mercy"]
+      }
+    }],
+    users: ["GET /search/users"]
   },
   teams: {
-    addMember: {
-      deprecated: "octokit.teams.addMember() has been renamed to octokit.teams.addMemberLegacy() (2020-01-16)",
-      method: "PUT",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/members/:username"
-    },
-    addMemberLegacy: {
-      deprecated: "octokit.teams.addMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy",
-      method: "PUT",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/members/:username"
-    },
-    addOrUpdateMembership: {
-      deprecated: "octokit.teams.addOrUpdateMembership() has been renamed to octokit.teams.addOrUpdateMembershipLegacy() (2020-01-16)",
-      method: "PUT",
-      params: {
-        role: {
-          enum: ["member", "maintainer"],
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/memberships/:username"
-    },
-    addOrUpdateMembershipInOrg: {
-      method: "PUT",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        role: {
-          enum: ["member", "maintainer"],
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/memberships/:username"
-    },
-    addOrUpdateMembershipLegacy: {
-      deprecated: "octokit.teams.addOrUpdateMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy",
-      method: "PUT",
-      params: {
-        role: {
-          enum: ["member", "maintainer"],
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/memberships/:username"
-    },
-    addOrUpdateProject: {
-      deprecated: "octokit.teams.addOrUpdateProject() has been renamed to octokit.teams.addOrUpdateProjectLegacy() (2020-01-16)",
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "PUT",
-      params: {
-        permission: {
-          enum: ["read", "write", "admin"],
-          type: "string"
-        },
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/projects/:project_id"
-    },
-    addOrUpdateProjectInOrg: {
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "PUT",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        permission: {
-          enum: ["read", "write", "admin"],
-          type: "string"
-        },
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-    },
-    addOrUpdateProjectLegacy: {
-      deprecated: "octokit.teams.addOrUpdateProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy",
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "PUT",
-      params: {
-        permission: {
-          enum: ["read", "write", "admin"],
-          type: "string"
-        },
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/projects/:project_id"
-    },
-    addOrUpdateRepo: {
-      deprecated: "octokit.teams.addOrUpdateRepo() has been renamed to octokit.teams.addOrUpdateRepoLegacy() (2020-01-16)",
-      method: "PUT",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        permission: {
-          enum: ["pull", "push", "admin"],
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/repos/:owner/:repo"
-    },
-    addOrUpdateRepoInOrg: {
-      method: "PUT",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        permission: {
-          enum: ["pull", "push", "admin"],
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-    },
-    addOrUpdateRepoLegacy: {
-      deprecated: "octokit.teams.addOrUpdateRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy",
-      method: "PUT",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        permission: {
-          enum: ["pull", "push", "admin"],
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/repos/:owner/:repo"
-    },
-    checkManagesRepo: {
-      deprecated: "octokit.teams.checkManagesRepo() has been renamed to octokit.teams.checkManagesRepoLegacy() (2020-01-16)",
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/repos/:owner/:repo"
-    },
-    checkManagesRepoInOrg: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-    },
-    checkManagesRepoLegacy: {
-      deprecated: "octokit.teams.checkManagesRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy",
-      method: "GET",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/repos/:owner/:repo"
-    },
-    create: {
-      method: "POST",
-      params: {
-        description: {
-          type: "string"
-        },
-        maintainers: {
-          type: "string[]"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        parent_team_id: {
-          type: "integer"
-        },
-        permission: {
-          enum: ["pull", "push", "admin"],
-          type: "string"
-        },
-        privacy: {
-          enum: ["secret", "closed"],
-          type: "string"
-        },
-        repo_names: {
-          type: "string[]"
-        }
-      },
-      url: "/orgs/:org/teams"
-    },
-    createDiscussion: {
-      deprecated: "octokit.teams.createDiscussion() has been renamed to octokit.teams.createDiscussionLegacy() (2020-01-16)",
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        private: {
-          type: "boolean"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        title: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/discussions"
-    },
-    createDiscussionComment: {
-      deprecated: "octokit.teams.createDiscussionComment() has been renamed to octokit.teams.createDiscussionCommentLegacy() (2020-01-16)",
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments"
-    },
-    createDiscussionCommentInOrg: {
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"
-    },
-    createDiscussionCommentLegacy: {
-      deprecated: "octokit.teams.createDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy",
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments"
-    },
-    createDiscussionInOrg: {
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        private: {
-          type: "boolean"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        },
-        title: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions"
-    },
-    createDiscussionLegacy: {
-      deprecated: "octokit.teams.createDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy",
-      method: "POST",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        private: {
-          type: "boolean"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        title: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/discussions"
-    },
-    delete: {
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-      method: "DELETE",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id"
-    },
-    deleteDiscussion: {
-      deprecated: "octokit.teams.deleteDiscussion() has been renamed to octokit.teams.deleteDiscussionLegacy() (2020-01-16)",
-      method: "DELETE",
-      params: {
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number"
-    },
-    deleteDiscussionComment: {
-      deprecated: "octokit.teams.deleteDiscussionComment() has been renamed to octokit.teams.deleteDiscussionCommentLegacy() (2020-01-16)",
-      method: "DELETE",
-      params: {
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-    },
-    deleteDiscussionCommentInOrg: {
-      method: "DELETE",
-      params: {
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
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-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-    },
-    deleteDiscussionCommentLegacy: {
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-      method: "DELETE",
-      params: {
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-    },
-    deleteDiscussionInOrg: {
-      method: "DELETE",
-      params: {
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-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-    },
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-      method: "DELETE",
-      params: {
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number"
-    },
-    deleteInOrg: {
-      method: "DELETE",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug"
-    },
-    deleteLegacy: {
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-      method: "DELETE",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id"
-    },
-    get: {
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-      method: "GET",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id"
-    },
-    getByName: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug"
-    },
-    getDiscussion: {
-      deprecated: "octokit.teams.getDiscussion() has been renamed to octokit.teams.getDiscussionLegacy() (2020-01-16)",
-      method: "GET",
-      params: {
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number"
-    },
-    getDiscussionComment: {
-      deprecated: "octokit.teams.getDiscussionComment() has been renamed to octokit.teams.getDiscussionCommentLegacy() (2020-01-16)",
-      method: "GET",
-      params: {
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-    },
-    getDiscussionCommentInOrg: {
-      method: "GET",
-      params: {
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-    },
-    getDiscussionCommentLegacy: {
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-      method: "GET",
-      params: {
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-    },
-    getDiscussionInOrg: {
-      method: "GET",
-      params: {
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-    },
-    getDiscussionLegacy: {
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-      method: "GET",
-      params: {
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number"
-    },
-    getLegacy: {
-      deprecated: "octokit.teams.getLegacy() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy",
-      method: "GET",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id"
-    },
-    getMember: {
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-      method: "GET",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/members/:username"
-    },
-    getMemberLegacy: {
-      deprecated: "octokit.teams.getMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy",
-      method: "GET",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/members/:username"
-    },
-    getMembership: {
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-      method: "GET",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/memberships/:username"
-    },
-    getMembershipInOrg: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/memberships/:username"
-    },
-    getMembershipLegacy: {
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-      method: "GET",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/memberships/:username"
-    },
-    list: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/orgs/:org/teams"
-    },
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-      method: "GET",
-      params: {
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-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/teams"
-    },
-    listChildInOrg: {
-      method: "GET",
-      params: {
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-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/teams"
-    },
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-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/teams"
-    },
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-      method: "GET",
-      params: {
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-          type: "string"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments"
-    },
-    listDiscussionCommentsInOrg: {
-      method: "GET",
-      params: {
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-          enum: ["asc", "desc"],
-          type: "string"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
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-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"
-    },
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-      method: "GET",
-      params: {
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-          type: "string"
-        },
-        discussion_number: {
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-          type: "integer"
-        },
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-        },
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-          type: "integer"
-        },
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-          type: "integer"
-        }
-      },
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-    },
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-      method: "GET",
-      params: {
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-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
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-        },
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-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions"
-    },
-    listDiscussionsInOrg: {
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-      params: {
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-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
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-        },
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-        },
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-          required: true,
-          type: "string"
-        }
-      },
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-    },
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-      method: "GET",
-      params: {
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-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
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-          type: "integer"
-        },
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-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions"
-    },
-    listForAuthenticatedUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/teams"
-    },
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-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        role: {
-          enum: ["member", "maintainer", "all"],
-          type: "string"
-        },
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-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/members"
-    },
-    listMembersInOrg: {
-      method: "GET",
-      params: {
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-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        role: {
-          enum: ["member", "maintainer", "all"],
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/members"
-    },
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-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        role: {
-          enum: ["member", "maintainer", "all"],
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/members"
-    },
-    listPendingInvitations: {
-      deprecated: "octokit.teams.listPendingInvitations() has been renamed to octokit.teams.listPendingInvitationsLegacy() (2020-01-16)",
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/invitations"
-    },
-    listPendingInvitationsInOrg: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/invitations"
-    },
-    listPendingInvitationsLegacy: {
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-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/invitations"
-    },
-    listProjects: {
-      deprecated: "octokit.teams.listProjects() has been renamed to octokit.teams.listProjectsLegacy() (2020-01-16)",
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/projects"
-    },
-    listProjectsInOrg: {
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/projects"
-    },
-    listProjectsLegacy: {
-      deprecated: "octokit.teams.listProjectsLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy",
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/projects"
-    },
-    listRepos: {
-      deprecated: "octokit.teams.listRepos() has been renamed to octokit.teams.listReposLegacy() (2020-01-16)",
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/repos"
-    },
-    listReposInOrg: {
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/repos"
-    },
-    listReposLegacy: {
-      deprecated: "octokit.teams.listReposLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy",
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/repos"
-    },
-    removeMember: {
-      deprecated: "octokit.teams.removeMember() has been renamed to octokit.teams.removeMemberLegacy() (2020-01-16)",
-      method: "DELETE",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/members/:username"
-    },
-    removeMemberLegacy: {
-      deprecated: "octokit.teams.removeMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy",
-      method: "DELETE",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/members/:username"
-    },
-    removeMembership: {
-      deprecated: "octokit.teams.removeMembership() has been renamed to octokit.teams.removeMembershipLegacy() (2020-01-16)",
-      method: "DELETE",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/memberships/:username"
-    },
-    removeMembershipInOrg: {
-      method: "DELETE",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/memberships/:username"
-    },
-    removeMembershipLegacy: {
-      deprecated: "octokit.teams.removeMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy",
-      method: "DELETE",
-      params: {
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/memberships/:username"
-    },
-    removeProject: {
-      deprecated: "octokit.teams.removeProject() has been renamed to octokit.teams.removeProjectLegacy() (2020-01-16)",
-      method: "DELETE",
-      params: {
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/projects/:project_id"
-    },
-    removeProjectInOrg: {
-      method: "DELETE",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-    },
-    removeProjectLegacy: {
-      deprecated: "octokit.teams.removeProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy",
-      method: "DELETE",
-      params: {
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/projects/:project_id"
-    },
-    removeRepo: {
-      deprecated: "octokit.teams.removeRepo() has been renamed to octokit.teams.removeRepoLegacy() (2020-01-16)",
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/repos/:owner/:repo"
-    },
-    removeRepoInOrg: {
-      method: "DELETE",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-    },
-    removeRepoLegacy: {
-      deprecated: "octokit.teams.removeRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy",
-      method: "DELETE",
-      params: {
-        owner: {
-          required: true,
-          type: "string"
-        },
-        repo: {
-          required: true,
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/repos/:owner/:repo"
-    },
-    reviewProject: {
-      deprecated: "octokit.teams.reviewProject() has been renamed to octokit.teams.reviewProjectLegacy() (2020-01-16)",
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "GET",
-      params: {
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/projects/:project_id"
-    },
-    reviewProjectInOrg: {
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "GET",
-      params: {
-        org: {
-          required: true,
-          type: "string"
-        },
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-    },
-    reviewProjectLegacy: {
-      deprecated: "octokit.teams.reviewProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy",
-      headers: {
-        accept: "application/vnd.github.inertia-preview+json"
-      },
-      method: "GET",
-      params: {
-        project_id: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/projects/:project_id"
-    },
-    update: {
-      deprecated: "octokit.teams.update() has been renamed to octokit.teams.updateLegacy() (2020-01-16)",
-      method: "PATCH",
-      params: {
-        description: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        parent_team_id: {
-          type: "integer"
-        },
-        permission: {
-          enum: ["pull", "push", "admin"],
-          type: "string"
-        },
-        privacy: {
-          enum: ["secret", "closed"],
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id"
-    },
-    updateDiscussion: {
-      deprecated: "octokit.teams.updateDiscussion() has been renamed to octokit.teams.updateDiscussionLegacy() (2020-01-16)",
-      method: "PATCH",
-      params: {
-        body: {
-          type: "string"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        title: {
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number"
-    },
-    updateDiscussionComment: {
-      deprecated: "octokit.teams.updateDiscussionComment() has been renamed to octokit.teams.updateDiscussionCommentLegacy() (2020-01-16)",
-      method: "PATCH",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-    },
-    updateDiscussionCommentInOrg: {
-      method: "PATCH",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-    },
-    updateDiscussionCommentLegacy: {
-      deprecated: "octokit.teams.updateDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy",
-      method: "PATCH",
-      params: {
-        body: {
-          required: true,
-          type: "string"
-        },
-        comment_number: {
-          required: true,
-          type: "integer"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-    },
-    updateDiscussionInOrg: {
-      method: "PATCH",
-      params: {
-        body: {
-          type: "string"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        },
-        title: {
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-    },
-    updateDiscussionLegacy: {
-      deprecated: "octokit.teams.updateDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy",
-      method: "PATCH",
-      params: {
-        body: {
-          type: "string"
-        },
-        discussion_number: {
-          required: true,
-          type: "integer"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        },
-        title: {
-          type: "string"
-        }
-      },
-      url: "/teams/:team_id/discussions/:discussion_number"
-    },
-    updateInOrg: {
-      method: "PATCH",
-      params: {
-        description: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        org: {
-          required: true,
-          type: "string"
-        },
-        parent_team_id: {
-          type: "integer"
-        },
-        permission: {
-          enum: ["pull", "push", "admin"],
-          type: "string"
-        },
-        privacy: {
-          enum: ["secret", "closed"],
-          type: "string"
-        },
-        team_slug: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/orgs/:org/teams/:team_slug"
-    },
-    updateLegacy: {
-      deprecated: "octokit.teams.updateLegacy() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy",
-      method: "PATCH",
-      params: {
-        description: {
-          type: "string"
-        },
-        name: {
-          required: true,
-          type: "string"
-        },
-        parent_team_id: {
-          type: "integer"
-        },
-        permission: {
-          enum: ["pull", "push", "admin"],
-          type: "string"
-        },
-        privacy: {
-          enum: ["secret", "closed"],
-          type: "string"
-        },
-        team_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/teams/:team_id"
-    }
+    addOrUpdateMembershipForUserInOrg: ["PUT /orgs/{org}/teams/{team_slug}/memberships/{username}"],
+    addOrUpdateProjectPermissionsInOrg: ["PUT /orgs/{org}/teams/{team_slug}/projects/{project_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    addOrUpdateRepoPermissionsInOrg: ["PUT /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}"],
+    checkPermissionsForProjectInOrg: ["GET /orgs/{org}/teams/{team_slug}/projects/{project_id}", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    checkPermissionsForRepoInOrg: ["GET /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}"],
+    create: ["POST /orgs/{org}/teams"],
+    createDiscussionCommentInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments"],
+    createDiscussionInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions"],
+    deleteDiscussionCommentInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}"],
+    deleteDiscussionInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}"],
+    deleteInOrg: ["DELETE /orgs/{org}/teams/{team_slug}"],
+    getByName: ["GET /orgs/{org}/teams/{team_slug}"],
+    getDiscussionCommentInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}"],
+    getDiscussionInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}"],
+    getMembershipForUserInOrg: ["GET /orgs/{org}/teams/{team_slug}/memberships/{username}"],
+    list: ["GET /orgs/{org}/teams"],
+    listChildInOrg: ["GET /orgs/{org}/teams/{team_slug}/teams"],
+    listDiscussionCommentsInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments"],
+    listDiscussionsInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions"],
+    listForAuthenticatedUser: ["GET /user/teams"],
+    listMembersInOrg: ["GET /orgs/{org}/teams/{team_slug}/members"],
+    listPendingInvitationsInOrg: ["GET /orgs/{org}/teams/{team_slug}/invitations"],
+    listProjectsInOrg: ["GET /orgs/{org}/teams/{team_slug}/projects", {
+      mediaType: {
+        previews: ["inertia"]
+      }
+    }],
+    listReposInOrg: ["GET /orgs/{org}/teams/{team_slug}/repos"],
+    removeMembershipForUserInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/memberships/{username}"],
+    removeProjectInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/projects/{project_id}"],
+    removeRepoInOrg: ["DELETE /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}"],
+    updateDiscussionCommentInOrg: ["PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}"],
+    updateDiscussionInOrg: ["PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}"],
+    updateInOrg: ["PATCH /orgs/{org}/teams/{team_slug}"]
   },
   users: {
-    addEmails: {
-      method: "POST",
-      params: {
-        emails: {
-          required: true,
-          type: "string[]"
-        }
-      },
-      url: "/user/emails"
-    },
-    block: {
-      method: "PUT",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/blocks/:username"
-    },
-    checkBlocked: {
-      method: "GET",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/blocks/:username"
-    },
-    checkFollowing: {
-      method: "GET",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/following/:username"
-    },
-    checkFollowingForUser: {
-      method: "GET",
-      params: {
-        target_user: {
-          required: true,
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/following/:target_user"
-    },
-    createGpgKey: {
-      method: "POST",
-      params: {
-        armored_public_key: {
-          type: "string"
-        }
-      },
-      url: "/user/gpg_keys"
-    },
-    createPublicKey: {
-      method: "POST",
-      params: {
-        key: {
-          type: "string"
-        },
-        title: {
-          type: "string"
-        }
-      },
-      url: "/user/keys"
-    },
-    deleteEmails: {
-      method: "DELETE",
-      params: {
-        emails: {
-          required: true,
-          type: "string[]"
-        }
-      },
-      url: "/user/emails"
-    },
-    deleteGpgKey: {
-      method: "DELETE",
-      params: {
-        gpg_key_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/gpg_keys/:gpg_key_id"
-    },
-    deletePublicKey: {
-      method: "DELETE",
-      params: {
-        key_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/keys/:key_id"
-    },
-    follow: {
-      method: "PUT",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/following/:username"
-    },
-    getAuthenticated: {
-      method: "GET",
-      params: {},
-      url: "/user"
-    },
-    getByUsername: {
-      method: "GET",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username"
-    },
-    getContextForUser: {
-      method: "GET",
-      params: {
-        subject_id: {
-          type: "string"
-        },
-        subject_type: {
-          enum: ["organization", "repository", "issue", "pull_request"],
-          type: "string"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/hovercard"
-    },
-    getGpgKey: {
-      method: "GET",
-      params: {
-        gpg_key_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/gpg_keys/:gpg_key_id"
-    },
-    getPublicKey: {
-      method: "GET",
-      params: {
-        key_id: {
-          required: true,
-          type: "integer"
-        }
-      },
-      url: "/user/keys/:key_id"
-    },
-    list: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        since: {
-          type: "string"
-        }
-      },
-      url: "/users"
-    },
-    listBlocked: {
-      method: "GET",
-      params: {},
-      url: "/user/blocks"
-    },
-    listEmails: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/emails"
-    },
-    listFollowersForAuthenticatedUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/followers"
-    },
-    listFollowersForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/followers"
-    },
-    listFollowingForAuthenticatedUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/following"
-    },
-    listFollowingForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/following"
-    },
-    listGpgKeys: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/gpg_keys"
-    },
-    listGpgKeysForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/gpg_keys"
-    },
-    listPublicEmails: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/public_emails"
-    },
-    listPublicKeys: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        }
-      },
-      url: "/user/keys"
-    },
-    listPublicKeysForUser: {
-      method: "GET",
-      params: {
-        page: {
-          type: "integer"
-        },
-        per_page: {
-          type: "integer"
-        },
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/users/:username/keys"
-    },
-    togglePrimaryEmailVisibility: {
-      method: "PATCH",
-      params: {
-        email: {
-          required: true,
-          type: "string"
-        },
-        visibility: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/email/visibility"
-    },
-    unblock: {
-      method: "DELETE",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/blocks/:username"
-    },
-    unfollow: {
-      method: "DELETE",
-      params: {
-        username: {
-          required: true,
-          type: "string"
-        }
-      },
-      url: "/user/following/:username"
-    },
-    updateAuthenticated: {
-      method: "PATCH",
-      params: {
-        bio: {
-          type: "string"
-        },
-        blog: {
-          type: "string"
-        },
-        company: {
-          type: "string"
-        },
-        email: {
-          type: "string"
-        },
-        hireable: {
-          type: "boolean"
-        },
-        location: {
-          type: "string"
-        },
-        name: {
-          type: "string"
-        }
-      },
-      url: "/user"
-    }
+    addEmailForAuthenticated: ["POST /user/emails"],
+    block: ["PUT /user/blocks/{username}"],
+    checkBlocked: ["GET /user/blocks/{username}"],
+    checkFollowingForUser: ["GET /users/{username}/following/{target_user}"],
+    checkPersonIsFollowedByAuthenticated: ["GET /user/following/{username}"],
+    createGpgKeyForAuthenticated: ["POST /user/gpg_keys"],
+    createPublicSshKeyForAuthenticated: ["POST /user/keys"],
+    deleteEmailForAuthenticated: ["DELETE /user/emails"],
+    deleteGpgKeyForAuthenticated: ["DELETE /user/gpg_keys/{gpg_key_id}"],
+    deletePublicSshKeyForAuthenticated: ["DELETE /user/keys/{key_id}"],
+    follow: ["PUT /user/following/{username}"],
+    getAuthenticated: ["GET /user"],
+    getByUsername: ["GET /users/{username}"],
+    getContextForUser: ["GET /users/{username}/hovercard"],
+    getGpgKeyForAuthenticated: ["GET /user/gpg_keys/{gpg_key_id}"],
+    getPublicSshKeyForAuthenticated: ["GET /user/keys/{key_id}"],
+    list: ["GET /users"],
+    listBlockedByAuthenticated: ["GET /user/blocks"],
+    listEmailsForAuthenticated: ["GET /user/emails"],
+    listFollowedByAuthenticated: ["GET /user/following"],
+    listFollowersForAuthenticatedUser: ["GET /user/followers"],
+    listFollowersForUser: ["GET /users/{username}/followers"],
+    listFollowingForUser: ["GET /users/{username}/following"],
+    listGpgKeysForAuthenticated: ["GET /user/gpg_keys"],
+    listGpgKeysForUser: ["GET /users/{username}/gpg_keys"],
+    listPublicEmailsForAuthenticated: ["GET /user/public_emails"],
+    listPublicKeysForUser: ["GET /users/{username}/keys"],
+    listPublicSshKeysForAuthenticated: ["GET /user/keys"],
+    setPrimaryEmailVisibilityForAuthenticated: ["PATCH /user/email/visibility"],
+    unblock: ["DELETE /user/blocks/{username}"],
+    unfollow: ["DELETE /user/following/{username}"],
+    updateAuthenticated: ["PATCH /user"]
   }
 };
 
-const VERSION = "2.4.0";
+const VERSION = "4.1.2";
 
-function registerEndpoints(octokit, routes) {
-  Object.keys(routes).forEach(namespaceName => {
-    if (!octokit[namespaceName]) {
-      octokit[namespaceName] = {};
-    }
+function endpointsToMethods(octokit, endpointsMap) {
+  const newMethods = {};
 
-    Object.keys(routes[namespaceName]).forEach(apiName => {
-      const apiOptions = routes[namespaceName][apiName];
-      const endpointDefaults = ["method", "url", "headers"].reduce((map, key) => {
-        if (typeof apiOptions[key] !== "undefined") {
-          map[key] = apiOptions[key];
-        }
+  for (const [scope, endpoints] of Object.entries(endpointsMap)) {
+    for (const [methodName, endpoint] of Object.entries(endpoints)) {
+      const [route, defaults, decorations] = endpoint;
+      const [method, url] = route.split(/ /);
+      const endpointDefaults = Object.assign({
+        method,
+        url
+      }, defaults);
 
-        return map;
-      }, {});
-      endpointDefaults.request = {
-        validate: apiOptions.params
-      };
-      let request = octokit.request.defaults(endpointDefaults); // patch request & endpoint methods to support deprecated parameters.
-      // Not the most elegant solution, but we don’t want to move deprecation
-      // logic into octokit/endpoint.js as it’s out of scope
+      if (!newMethods[scope]) {
+        newMethods[scope] = {};
+      }
 
-      const hasDeprecatedParam = Object.keys(apiOptions.params || {}).find(key => apiOptions.params[key].deprecated);
+      const scopeMethods = newMethods[scope];
 
-      if (hasDeprecatedParam) {
-        const patch = patchForDeprecation.bind(null, octokit, apiOptions);
-        request = patch(octokit.request.defaults(endpointDefaults), `.${namespaceName}.${apiName}()`);
-        request.endpoint = patch(request.endpoint, `.${namespaceName}.${apiName}.endpoint()`);
-        request.endpoint.merge = patch(request.endpoint.merge, `.${namespaceName}.${apiName}.endpoint.merge()`);
+      if (decorations) {
+        scopeMethods[methodName] = decorate(octokit, scope, methodName, endpointDefaults, decorations);
+        continue;
       }
 
-      if (apiOptions.deprecated) {
-        octokit[namespaceName][apiName] = Object.assign(function deprecatedEndpointMethod() {
-          octokit.log.warn(new deprecation.Deprecation(`[@octokit/rest] ${apiOptions.deprecated}`));
-          octokit[namespaceName][apiName] = request;
-          return request.apply(null, arguments);
-        }, request);
-        return;
-      }
+      scopeMethods[methodName] = octokit.request.defaults(endpointDefaults);
+    }
+  }
 
-      octokit[namespaceName][apiName] = request;
-    });
-  });
+  return newMethods;
 }
 
-function patchForDeprecation(octokit, apiOptions, method, methodName) {
-  const patchedMethod = options => {
-    options = Object.assign({}, options);
-    Object.keys(options).forEach(key => {
-      if (apiOptions.params[key] && apiOptions.params[key].deprecated) {
-        const aliasKey = apiOptions.params[key].alias;
-        octokit.log.warn(new deprecation.Deprecation(`[@octokit/rest] "${key}" parameter is deprecated for "${methodName}". Use "${aliasKey}" instead`));
+function decorate(octokit, scope, methodName, defaults, decorations) {
+  const requestWithDefaults = octokit.request.defaults(defaults);
+  /* istanbul ignore next */
 
-        if (!(aliasKey in options)) {
-          options[aliasKey] = options[key];
-        }
+  function withDecorations(...args) {
+    // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+    let options = requestWithDefaults.endpoint.merge(...args); // There are currently no other decorations than `.mapToData`
+
+    if (decorations.mapToData) {
+      options = Object.assign({}, options, {
+        data: options[decorations.mapToData],
+        [decorations.mapToData]: undefined
+      });
+      return requestWithDefaults(options);
+    }
 
-        delete options[key];
+    if (decorations.renamed) {
+      const [newScope, newMethodName] = decorations.renamed;
+      octokit.log.warn(`octokit.${scope}.${methodName}() has been renamed to octokit.${newScope}.${newMethodName}()`);
+    }
+
+    if (decorations.deprecated) {
+      octokit.log.warn(decorations.deprecated);
+    }
+
+    if (decorations.renamedParameters) {
+      // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+      const options = requestWithDefaults.endpoint.merge(...args);
+
+      for (const [name, alias] of Object.entries(decorations.renamedParameters)) {
+        if (name in options) {
+          octokit.log.warn(`"${name}" parameter is deprecated for "octokit.${scope}.${methodName}()". Use "${alias}" instead`);
+
+          if (!(alias in options)) {
+            options[alias] = options[name];
+          }
+
+          delete options[name];
+        }
       }
-    });
-    return method(options);
-  };
 
-  Object.keys(method).forEach(key => {
-    patchedMethod[key] = method[key];
-  });
-  return patchedMethod;
+      return requestWithDefaults(options);
+    } // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+
+
+    return requestWithDefaults(...args);
+  }
+
+  return Object.assign(withDecorations, requestWithDefaults);
 }
 
 /**
@@ -13172,23 +1199,7 @@ function patchForDeprecation(octokit, apiOptions, method, methodName) {
  */
 
 function restEndpointMethods(octokit) {
-  // @ts-ignore
-  octokit.registerEndpoints = registerEndpoints.bind(null, octokit);
-  registerEndpoints(octokit, endpointsByScope); // Aliasing scopes for backward compatibility
-  // See https://github.com/octokit/rest.js/pull/1134
-
-  [["gitdata", "git"], ["authorization", "oauthAuthorizations"], ["pullRequests", "pulls"]].forEach(([deprecatedScope, scope]) => {
-    Object.defineProperty(octokit, deprecatedScope, {
-      get() {
-        octokit.log.warn( // @ts-ignore
-        new deprecation.Deprecation(`[@octokit/plugin-rest-endpoint-methods] "octokit.${deprecatedScope}.*" methods are deprecated, use "octokit.${scope}.*" instead`)); // @ts-ignore
-
-        return octokit[scope];
-      }
-
-    });
-  });
-  return {};
+  return endpointsToMethods(octokit, Endpoints);
 }
 restEndpointMethods.VERSION = VERSION;
 
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-node/index.js.map b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-node/index.js.map
index 32beda91c..67ba074d9 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-node/index.js.map
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-node/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/generated/endpoints.js","../dist-src/version.js","../dist-src/register-endpoints.js","../dist-src/index.js"],"sourcesContent":["export default {\n    actions: {\n        cancelWorkflowRun: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/cancel\"\n        },\n        createOrUpdateSecretForRepo: {\n            method: \"PUT\",\n            params: {\n                encrypted_value: { type: \"string\" },\n                key_id: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets/:name\"\n        },\n        createRegistrationToken: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/registration-token\"\n        },\n        createRemoveToken: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/remove-token\"\n        },\n        deleteArtifact: {\n            method: \"DELETE\",\n            params: {\n                artifact_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/artifacts/:artifact_id\"\n        },\n        deleteSecretFromRepo: {\n            method: \"DELETE\",\n            params: {\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets/:name\"\n        },\n        downloadArtifact: {\n            method: \"GET\",\n            params: {\n                archive_format: { required: true, type: \"string\" },\n                artifact_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format\"\n        },\n        getArtifact: {\n            method: \"GET\",\n            params: {\n                artifact_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/artifacts/:artifact_id\"\n        },\n        getPublicKey: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets/public-key\"\n        },\n        getSecret: {\n            method: \"GET\",\n            params: {\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets/:name\"\n        },\n        getSelfHostedRunner: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                runner_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/:runner_id\"\n        },\n        getWorkflow: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                workflow_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/workflows/:workflow_id\"\n        },\n        getWorkflowJob: {\n            method: \"GET\",\n            params: {\n                job_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/jobs/:job_id\"\n        },\n        getWorkflowRun: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id\"\n        },\n        listDownloadsForSelfHostedRunnerApplication: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/downloads\"\n        },\n        listJobsForWorkflowRun: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/jobs\"\n        },\n        listRepoWorkflowRuns: {\n            method: \"GET\",\n            params: {\n                actor: { type: \"string\" },\n                branch: { type: \"string\" },\n                event: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                status: { enum: [\"completed\", \"status\", \"conclusion\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs\"\n        },\n        listRepoWorkflows: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/workflows\"\n        },\n        listSecretsForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets\"\n        },\n        listSelfHostedRunnersForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners\"\n        },\n        listWorkflowJobLogs: {\n            method: \"GET\",\n            params: {\n                job_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/jobs/:job_id/logs\"\n        },\n        listWorkflowRunArtifacts: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/artifacts\"\n        },\n        listWorkflowRunLogs: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/logs\"\n        },\n        listWorkflowRuns: {\n            method: \"GET\",\n            params: {\n                actor: { type: \"string\" },\n                branch: { type: \"string\" },\n                event: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                status: { enum: [\"completed\", \"status\", \"conclusion\"], type: \"string\" },\n                workflow_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/workflows/:workflow_id/runs\"\n        },\n        reRunWorkflow: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/rerun\"\n        },\n        removeSelfHostedRunner: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                runner_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/:runner_id\"\n        }\n    },\n    activity: {\n        checkStarringRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/user/starred/:owner/:repo\"\n        },\n        deleteRepoSubscription: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/subscription\"\n        },\n        deleteThreadSubscription: {\n            method: \"DELETE\",\n            params: { thread_id: { required: true, type: \"integer\" } },\n            url: \"/notifications/threads/:thread_id/subscription\"\n        },\n        getRepoSubscription: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/subscription\"\n        },\n        getThread: {\n            method: \"GET\",\n            params: { thread_id: { required: true, type: \"integer\" } },\n            url: \"/notifications/threads/:thread_id\"\n        },\n        getThreadSubscription: {\n            method: \"GET\",\n            params: { thread_id: { required: true, type: \"integer\" } },\n            url: \"/notifications/threads/:thread_id/subscription\"\n        },\n        listEventsForOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/events/orgs/:org\"\n        },\n        listEventsForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/events\"\n        },\n        listFeeds: { method: \"GET\", params: {}, url: \"/feeds\" },\n        listNotifications: {\n            method: \"GET\",\n            params: {\n                all: { type: \"boolean\" },\n                before: { type: \"string\" },\n                page: { type: \"integer\" },\n                participating: { type: \"boolean\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/notifications\"\n        },\n        listNotificationsForRepo: {\n            method: \"GET\",\n            params: {\n                all: { type: \"boolean\" },\n                before: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                participating: { type: \"boolean\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/notifications\"\n        },\n        listPublicEvents: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/events\"\n        },\n        listPublicEventsForOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/events\"\n        },\n        listPublicEventsForRepoNetwork: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/networks/:owner/:repo/events\"\n        },\n        listPublicEventsForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/events/public\"\n        },\n        listReceivedEventsForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/received_events\"\n        },\n        listReceivedPublicEventsForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/received_events/public\"\n        },\n        listRepoEvents: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/events\"\n        },\n        listReposStarredByAuthenticatedUser: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/user/starred\"\n        },\n        listReposStarredByUser: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/starred\"\n        },\n        listReposWatchedByUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/subscriptions\"\n        },\n        listStargazersForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stargazers\"\n        },\n        listWatchedReposForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/subscriptions\"\n        },\n        listWatchersForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/subscribers\"\n        },\n        markAsRead: {\n            method: \"PUT\",\n            params: { last_read_at: { type: \"string\" } },\n            url: \"/notifications\"\n        },\n        markNotificationsAsReadForRepo: {\n            method: \"PUT\",\n            params: {\n                last_read_at: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/notifications\"\n        },\n        markThreadAsRead: {\n            method: \"PATCH\",\n            params: { thread_id: { required: true, type: \"integer\" } },\n            url: \"/notifications/threads/:thread_id\"\n        },\n        setRepoSubscription: {\n            method: \"PUT\",\n            params: {\n                ignored: { type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                subscribed: { type: \"boolean\" }\n            },\n            url: \"/repos/:owner/:repo/subscription\"\n        },\n        setThreadSubscription: {\n            method: \"PUT\",\n            params: {\n                ignored: { type: \"boolean\" },\n                thread_id: { required: true, type: \"integer\" }\n            },\n            url: \"/notifications/threads/:thread_id/subscription\"\n        },\n        starRepo: {\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/user/starred/:owner/:repo\"\n        },\n        unstarRepo: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/user/starred/:owner/:repo\"\n        }\n    },\n    apps: {\n        addRepoToInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"PUT\",\n            params: {\n                installation_id: { required: true, type: \"integer\" },\n                repository_id: { required: true, type: \"integer\" }\n            },\n            url: \"/user/installations/:installation_id/repositories/:repository_id\"\n        },\n        checkAccountIsAssociatedWithAny: {\n            method: \"GET\",\n            params: { account_id: { required: true, type: \"integer\" } },\n            url: \"/marketplace_listing/accounts/:account_id\"\n        },\n        checkAccountIsAssociatedWithAnyStubbed: {\n            method: \"GET\",\n            params: { account_id: { required: true, type: \"integer\" } },\n            url: \"/marketplace_listing/stubbed/accounts/:account_id\"\n        },\n        checkAuthorization: {\n            deprecated: \"octokit.apps.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization\",\n            method: \"GET\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        checkToken: {\n            headers: { accept: \"application/vnd.github.doctor-strange-preview+json\" },\n            method: \"POST\",\n            params: {\n                access_token: { type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/token\"\n        },\n        createContentAttachment: {\n            headers: { accept: \"application/vnd.github.corsair-preview+json\" },\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                content_reference_id: { required: true, type: \"integer\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/content_references/:content_reference_id/attachments\"\n        },\n        createFromManifest: {\n            headers: { accept: \"application/vnd.github.fury-preview+json\" },\n            method: \"POST\",\n            params: { code: { required: true, type: \"string\" } },\n            url: \"/app-manifests/:code/conversions\"\n        },\n        createInstallationToken: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"POST\",\n            params: {\n                installation_id: { required: true, type: \"integer\" },\n                permissions: { type: \"object\" },\n                repository_ids: { type: \"integer[]\" }\n            },\n            url: \"/app/installations/:installation_id/access_tokens\"\n        },\n        deleteAuthorization: {\n            headers: { accept: \"application/vnd.github.doctor-strange-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                access_token: { type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/grant\"\n        },\n        deleteInstallation: {\n            headers: {\n                accept: \"application/vnd.github.gambit-preview+json,application/vnd.github.machine-man-preview+json\"\n            },\n            method: \"DELETE\",\n            params: { installation_id: { required: true, type: \"integer\" } },\n            url: \"/app/installations/:installation_id\"\n        },\n        deleteToken: {\n            headers: { accept: \"application/vnd.github.doctor-strange-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                access_token: { type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/token\"\n        },\n        findOrgInstallation: {\n            deprecated: \"octokit.apps.findOrgInstallation() has been renamed to octokit.apps.getOrgInstallation() (2019-04-10)\",\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/installation\"\n        },\n        findRepoInstallation: {\n            deprecated: \"octokit.apps.findRepoInstallation() has been renamed to octokit.apps.getRepoInstallation() (2019-04-10)\",\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/installation\"\n        },\n        findUserInstallation: {\n            deprecated: \"octokit.apps.findUserInstallation() has been renamed to octokit.apps.getUserInstallation() (2019-04-10)\",\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/users/:username/installation\"\n        },\n        getAuthenticated: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {},\n            url: \"/app\"\n        },\n        getBySlug: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { app_slug: { required: true, type: \"string\" } },\n            url: \"/apps/:app_slug\"\n        },\n        getInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { installation_id: { required: true, type: \"integer\" } },\n            url: \"/app/installations/:installation_id\"\n        },\n        getOrgInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/installation\"\n        },\n        getRepoInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/installation\"\n        },\n        getUserInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/users/:username/installation\"\n        },\n        listAccountsUserOrOrgOnPlan: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                plan_id: { required: true, type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/marketplace_listing/plans/:plan_id/accounts\"\n        },\n        listAccountsUserOrOrgOnPlanStubbed: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                plan_id: { required: true, type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/marketplace_listing/stubbed/plans/:plan_id/accounts\"\n        },\n        listInstallationReposForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {\n                installation_id: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/user/installations/:installation_id/repositories\"\n        },\n        listInstallations: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/app/installations\"\n        },\n        listInstallationsForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/installations\"\n        },\n        listMarketplacePurchasesForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/marketplace_purchases\"\n        },\n        listMarketplacePurchasesForAuthenticatedUserStubbed: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/marketplace_purchases/stubbed\"\n        },\n        listPlans: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/marketplace_listing/plans\"\n        },\n        listPlansStubbed: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/marketplace_listing/stubbed/plans\"\n        },\n        listRepos: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/installation/repositories\"\n        },\n        removeRepoFromInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                installation_id: { required: true, type: \"integer\" },\n                repository_id: { required: true, type: \"integer\" }\n            },\n            url: \"/user/installations/:installation_id/repositories/:repository_id\"\n        },\n        resetAuthorization: {\n            deprecated: \"octokit.apps.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization\",\n            method: \"POST\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        resetToken: {\n            headers: { accept: \"application/vnd.github.doctor-strange-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                access_token: { type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/token\"\n        },\n        revokeAuthorizationForApplication: {\n            deprecated: \"octokit.apps.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application\",\n            method: \"DELETE\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        revokeGrantForApplication: {\n            deprecated: \"octokit.apps.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application\",\n            method: \"DELETE\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/grants/:access_token\"\n        },\n        revokeInstallationToken: {\n            headers: { accept: \"application/vnd.github.gambit-preview+json\" },\n            method: \"DELETE\",\n            params: {},\n            url: \"/installation/token\"\n        }\n    },\n    checks: {\n        create: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"POST\",\n            params: {\n                actions: { type: \"object[]\" },\n                \"actions[].description\": { required: true, type: \"string\" },\n                \"actions[].identifier\": { required: true, type: \"string\" },\n                \"actions[].label\": { required: true, type: \"string\" },\n                completed_at: { type: \"string\" },\n                conclusion: {\n                    enum: [\n                        \"success\",\n                        \"failure\",\n                        \"neutral\",\n                        \"cancelled\",\n                        \"timed_out\",\n                        \"action_required\"\n                    ],\n                    type: \"string\"\n                },\n                details_url: { type: \"string\" },\n                external_id: { type: \"string\" },\n                head_sha: { required: true, type: \"string\" },\n                name: { required: true, type: \"string\" },\n                output: { type: \"object\" },\n                \"output.annotations\": { type: \"object[]\" },\n                \"output.annotations[].annotation_level\": {\n                    enum: [\"notice\", \"warning\", \"failure\"],\n                    required: true,\n                    type: \"string\"\n                },\n                \"output.annotations[].end_column\": { type: \"integer\" },\n                \"output.annotations[].end_line\": { required: true, type: \"integer\" },\n                \"output.annotations[].message\": { required: true, type: \"string\" },\n                \"output.annotations[].path\": { required: true, type: \"string\" },\n                \"output.annotations[].raw_details\": { type: \"string\" },\n                \"output.annotations[].start_column\": { type: \"integer\" },\n                \"output.annotations[].start_line\": { required: true, type: \"integer\" },\n                \"output.annotations[].title\": { type: \"string\" },\n                \"output.images\": { type: \"object[]\" },\n                \"output.images[].alt\": { required: true, type: \"string\" },\n                \"output.images[].caption\": { type: \"string\" },\n                \"output.images[].image_url\": { required: true, type: \"string\" },\n                \"output.summary\": { required: true, type: \"string\" },\n                \"output.text\": { type: \"string\" },\n                \"output.title\": { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                started_at: { type: \"string\" },\n                status: { enum: [\"queued\", \"in_progress\", \"completed\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-runs\"\n        },\n        createSuite: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"POST\",\n            params: {\n                head_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites\"\n        },\n        get: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_run_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-runs/:check_run_id\"\n        },\n        getSuite: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_suite_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites/:check_suite_id\"\n        },\n        listAnnotations: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_run_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-runs/:check_run_id/annotations\"\n        },\n        listForRef: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_name: { type: \"string\" },\n                filter: { enum: [\"latest\", \"all\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                status: { enum: [\"queued\", \"in_progress\", \"completed\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref/check-runs\"\n        },\n        listForSuite: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_name: { type: \"string\" },\n                check_suite_id: { required: true, type: \"integer\" },\n                filter: { enum: [\"latest\", \"all\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                status: { enum: [\"queued\", \"in_progress\", \"completed\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites/:check_suite_id/check-runs\"\n        },\n        listSuitesForRef: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                app_id: { type: \"integer\" },\n                check_name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref/check-suites\"\n        },\n        rerequestSuite: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"POST\",\n            params: {\n                check_suite_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites/:check_suite_id/rerequest\"\n        },\n        setSuitesPreferences: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                auto_trigger_checks: { type: \"object[]\" },\n                \"auto_trigger_checks[].app_id\": { required: true, type: \"integer\" },\n                \"auto_trigger_checks[].setting\": { required: true, type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites/preferences\"\n        },\n        update: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                actions: { type: \"object[]\" },\n                \"actions[].description\": { required: true, type: \"string\" },\n                \"actions[].identifier\": { required: true, type: \"string\" },\n                \"actions[].label\": { required: true, type: \"string\" },\n                check_run_id: { required: true, type: \"integer\" },\n                completed_at: { type: \"string\" },\n                conclusion: {\n                    enum: [\n                        \"success\",\n                        \"failure\",\n                        \"neutral\",\n                        \"cancelled\",\n                        \"timed_out\",\n                        \"action_required\"\n                    ],\n                    type: \"string\"\n                },\n                details_url: { type: \"string\" },\n                external_id: { type: \"string\" },\n                name: { type: \"string\" },\n                output: { type: \"object\" },\n                \"output.annotations\": { type: \"object[]\" },\n                \"output.annotations[].annotation_level\": {\n                    enum: [\"notice\", \"warning\", \"failure\"],\n                    required: true,\n                    type: \"string\"\n                },\n                \"output.annotations[].end_column\": { type: \"integer\" },\n                \"output.annotations[].end_line\": { required: true, type: \"integer\" },\n                \"output.annotations[].message\": { required: true, type: \"string\" },\n                \"output.annotations[].path\": { required: true, type: \"string\" },\n                \"output.annotations[].raw_details\": { type: \"string\" },\n                \"output.annotations[].start_column\": { type: \"integer\" },\n                \"output.annotations[].start_line\": { required: true, type: \"integer\" },\n                \"output.annotations[].title\": { type: \"string\" },\n                \"output.images\": { type: \"object[]\" },\n                \"output.images[].alt\": { required: true, type: \"string\" },\n                \"output.images[].caption\": { type: \"string\" },\n                \"output.images[].image_url\": { required: true, type: \"string\" },\n                \"output.summary\": { required: true, type: \"string\" },\n                \"output.text\": { type: \"string\" },\n                \"output.title\": { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                started_at: { type: \"string\" },\n                status: { enum: [\"queued\", \"in_progress\", \"completed\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-runs/:check_run_id\"\n        }\n    },\n    codesOfConduct: {\n        getConductCode: {\n            headers: { accept: \"application/vnd.github.scarlet-witch-preview+json\" },\n            method: \"GET\",\n            params: { key: { required: true, type: \"string\" } },\n            url: \"/codes_of_conduct/:key\"\n        },\n        getForRepo: {\n            headers: { accept: \"application/vnd.github.scarlet-witch-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/community/code_of_conduct\"\n        },\n        listConductCodes: {\n            headers: { accept: \"application/vnd.github.scarlet-witch-preview+json\" },\n            method: \"GET\",\n            params: {},\n            url: \"/codes_of_conduct\"\n        }\n    },\n    emojis: { get: { method: \"GET\", params: {}, url: \"/emojis\" } },\n    gists: {\n        checkIsStarred: {\n            method: \"GET\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id/star\"\n        },\n        create: {\n            method: \"POST\",\n            params: {\n                description: { type: \"string\" },\n                files: { required: true, type: \"object\" },\n                \"files.content\": { type: \"string\" },\n                public: { type: \"boolean\" }\n            },\n            url: \"/gists\"\n        },\n        createComment: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/comments\"\n        },\n        delete: {\n            method: \"DELETE\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id\"\n        },\n        deleteComment: {\n            method: \"DELETE\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/comments/:comment_id\"\n        },\n        fork: {\n            method: \"POST\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id/forks\"\n        },\n        get: {\n            method: \"GET\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id\"\n        },\n        getComment: {\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/comments/:comment_id\"\n        },\n        getRevision: {\n            method: \"GET\",\n            params: {\n                gist_id: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/:sha\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/gists\"\n        },\n        listComments: {\n            method: \"GET\",\n            params: {\n                gist_id: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/gists/:gist_id/comments\"\n        },\n        listCommits: {\n            method: \"GET\",\n            params: {\n                gist_id: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/gists/:gist_id/commits\"\n        },\n        listForks: {\n            method: \"GET\",\n            params: {\n                gist_id: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/gists/:gist_id/forks\"\n        },\n        listPublic: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/gists/public\"\n        },\n        listPublicForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/gists\"\n        },\n        listStarred: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/gists/starred\"\n        },\n        star: {\n            method: \"PUT\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id/star\"\n        },\n        unstar: {\n            method: \"DELETE\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id/star\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                files: { type: \"object\" },\n                \"files.content\": { type: \"string\" },\n                \"files.filename\": { type: \"string\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id\"\n        },\n        updateComment: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/comments/:comment_id\"\n        }\n    },\n    git: {\n        createBlob: {\n            method: \"POST\",\n            params: {\n                content: { required: true, type: \"string\" },\n                encoding: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/blobs\"\n        },\n        createCommit: {\n            method: \"POST\",\n            params: {\n                author: { type: \"object\" },\n                \"author.date\": { type: \"string\" },\n                \"author.email\": { type: \"string\" },\n                \"author.name\": { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.date\": { type: \"string\" },\n                \"committer.email\": { type: \"string\" },\n                \"committer.name\": { type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                parents: { required: true, type: \"string[]\" },\n                repo: { required: true, type: \"string\" },\n                signature: { type: \"string\" },\n                tree: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/commits\"\n        },\n        createRef: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/refs\"\n        },\n        createTag: {\n            method: \"POST\",\n            params: {\n                message: { required: true, type: \"string\" },\n                object: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tag: { required: true, type: \"string\" },\n                tagger: { type: \"object\" },\n                \"tagger.date\": { type: \"string\" },\n                \"tagger.email\": { type: \"string\" },\n                \"tagger.name\": { type: \"string\" },\n                type: {\n                    enum: [\"commit\", \"tree\", \"blob\"],\n                    required: true,\n                    type: \"string\"\n                }\n            },\n            url: \"/repos/:owner/:repo/git/tags\"\n        },\n        createTree: {\n            method: \"POST\",\n            params: {\n                base_tree: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tree: { required: true, type: \"object[]\" },\n                \"tree[].content\": { type: \"string\" },\n                \"tree[].mode\": {\n                    enum: [\"100644\", \"100755\", \"040000\", \"160000\", \"120000\"],\n                    type: \"string\"\n                },\n                \"tree[].path\": { type: \"string\" },\n                \"tree[].sha\": { allowNull: true, type: \"string\" },\n                \"tree[].type\": { enum: [\"blob\", \"tree\", \"commit\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/trees\"\n        },\n        deleteRef: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/refs/:ref\"\n        },\n        getBlob: {\n            method: \"GET\",\n            params: {\n                file_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/blobs/:file_sha\"\n        },\n        getCommit: {\n            method: \"GET\",\n            params: {\n                commit_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/commits/:commit_sha\"\n        },\n        getRef: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/ref/:ref\"\n        },\n        getTag: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tag_sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/tags/:tag_sha\"\n        },\n        getTree: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                recursive: { enum: [\"1\"], type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                tree_sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/trees/:tree_sha\"\n        },\n        listMatchingRefs: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/matching-refs/:ref\"\n        },\n        listRefs: {\n            method: \"GET\",\n            params: {\n                namespace: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/refs/:namespace\"\n        },\n        updateRef: {\n            method: \"PATCH\",\n            params: {\n                force: { type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/refs/:ref\"\n        }\n    },\n    gitignore: {\n        getTemplate: {\n            method: \"GET\",\n            params: { name: { required: true, type: \"string\" } },\n            url: \"/gitignore/templates/:name\"\n        },\n        listTemplates: { method: \"GET\", params: {}, url: \"/gitignore/templates\" }\n    },\n    interactions: {\n        addOrUpdateRestrictionsForOrg: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"PUT\",\n            params: {\n                limit: {\n                    enum: [\"existing_users\", \"contributors_only\", \"collaborators_only\"],\n                    required: true,\n                    type: \"string\"\n                },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/interaction-limits\"\n        },\n        addOrUpdateRestrictionsForRepo: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"PUT\",\n            params: {\n                limit: {\n                    enum: [\"existing_users\", \"contributors_only\", \"collaborators_only\"],\n                    required: true,\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/interaction-limits\"\n        },\n        getRestrictionsForOrg: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/interaction-limits\"\n        },\n        getRestrictionsForRepo: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/interaction-limits\"\n        },\n        removeRestrictionsForOrg: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"DELETE\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/interaction-limits\"\n        },\n        removeRestrictionsForRepo: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/interaction-limits\"\n        }\n    },\n    issues: {\n        addAssignees: {\n            method: \"POST\",\n            params: {\n                assignees: { type: \"string[]\" },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/assignees\"\n        },\n        addLabels: {\n            method: \"POST\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                labels: { required: true, type: \"string[]\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels\"\n        },\n        checkAssignee: {\n            method: \"GET\",\n            params: {\n                assignee: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/assignees/:assignee\"\n        },\n        create: {\n            method: \"POST\",\n            params: {\n                assignee: { type: \"string\" },\n                assignees: { type: \"string[]\" },\n                body: { type: \"string\" },\n                labels: { type: \"string[]\" },\n                milestone: { type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues\"\n        },\n        createComment: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/comments\"\n        },\n        createLabel: {\n            method: \"POST\",\n            params: {\n                color: { required: true, type: \"string\" },\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels\"\n        },\n        createMilestone: {\n            method: \"POST\",\n            params: {\n                description: { type: \"string\" },\n                due_on: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones\"\n        },\n        deleteComment: {\n            method: \"DELETE\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id\"\n        },\n        deleteLabel: {\n            method: \"DELETE\",\n            params: {\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels/:name\"\n        },\n        deleteMilestone: {\n            method: \"DELETE\",\n            params: {\n                milestone_number: { required: true, type: \"integer\" },\n                number: {\n                    alias: \"milestone_number\",\n                    deprecated: true,\n                    type: \"integer\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones/:milestone_number\"\n        },\n        get: {\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number\"\n        },\n        getComment: {\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id\"\n        },\n        getEvent: {\n            method: \"GET\",\n            params: {\n                event_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/events/:event_id\"\n        },\n        getLabel: {\n            method: \"GET\",\n            params: {\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels/:name\"\n        },\n        getMilestone: {\n            method: \"GET\",\n            params: {\n                milestone_number: { required: true, type: \"integer\" },\n                number: {\n                    alias: \"milestone_number\",\n                    deprecated: true,\n                    type: \"integer\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones/:milestone_number\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                filter: {\n                    enum: [\"assigned\", \"created\", \"mentioned\", \"subscribed\", \"all\"],\n                    type: \"string\"\n                },\n                labels: { type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\", \"comments\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/issues\"\n        },\n        listAssignees: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/assignees\"\n        },\n        listComments: {\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/comments\"\n        },\n        listCommentsForRepo: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments\"\n        },\n        listEvents: {\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/events\"\n        },\n        listEventsForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/events\"\n        },\n        listEventsForTimeline: {\n            headers: { accept: \"application/vnd.github.mockingbird-preview+json\" },\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/timeline\"\n        },\n        listForAuthenticatedUser: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                filter: {\n                    enum: [\"assigned\", \"created\", \"mentioned\", \"subscribed\", \"all\"],\n                    type: \"string\"\n                },\n                labels: { type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\", \"comments\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/user/issues\"\n        },\n        listForOrg: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                filter: {\n                    enum: [\"assigned\", \"created\", \"mentioned\", \"subscribed\", \"all\"],\n                    type: \"string\"\n                },\n                labels: { type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\", \"comments\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/orgs/:org/issues\"\n        },\n        listForRepo: {\n            method: \"GET\",\n            params: {\n                assignee: { type: \"string\" },\n                creator: { type: \"string\" },\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                labels: { type: \"string\" },\n                mentioned: { type: \"string\" },\n                milestone: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\", \"comments\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues\"\n        },\n        listLabelsForMilestone: {\n            method: \"GET\",\n            params: {\n                milestone_number: { required: true, type: \"integer\" },\n                number: {\n                    alias: \"milestone_number\",\n                    deprecated: true,\n                    type: \"integer\"\n                },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones/:milestone_number/labels\"\n        },\n        listLabelsForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels\"\n        },\n        listLabelsOnIssue: {\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels\"\n        },\n        listMilestonesForRepo: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sort: { enum: [\"due_on\", \"completeness\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones\"\n        },\n        lock: {\n            method: \"PUT\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                lock_reason: {\n                    enum: [\"off-topic\", \"too heated\", \"resolved\", \"spam\"],\n                    type: \"string\"\n                },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/lock\"\n        },\n        removeAssignees: {\n            method: \"DELETE\",\n            params: {\n                assignees: { type: \"string[]\" },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/assignees\"\n        },\n        removeLabel: {\n            method: \"DELETE\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                name: { required: true, type: \"string\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels/:name\"\n        },\n        removeLabels: {\n            method: \"DELETE\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels\"\n        },\n        replaceLabels: {\n            method: \"PUT\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                labels: { type: \"string[]\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels\"\n        },\n        unlock: {\n            method: \"DELETE\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/lock\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                assignee: { type: \"string\" },\n                assignees: { type: \"string[]\" },\n                body: { type: \"string\" },\n                issue_number: { required: true, type: \"integer\" },\n                labels: { type: \"string[]\" },\n                milestone: { allowNull: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number\"\n        },\n        updateComment: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id\"\n        },\n        updateLabel: {\n            method: \"PATCH\",\n            params: {\n                color: { type: \"string\" },\n                current_name: { required: true, type: \"string\" },\n                description: { type: \"string\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels/:current_name\"\n        },\n        updateMilestone: {\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                due_on: { type: \"string\" },\n                milestone_number: { required: true, type: \"integer\" },\n                number: {\n                    alias: \"milestone_number\",\n                    deprecated: true,\n                    type: \"integer\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones/:milestone_number\"\n        }\n    },\n    licenses: {\n        get: {\n            method: \"GET\",\n            params: { license: { required: true, type: \"string\" } },\n            url: \"/licenses/:license\"\n        },\n        getForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/license\"\n        },\n        list: {\n            deprecated: \"octokit.licenses.list() has been renamed to octokit.licenses.listCommonlyUsed() (2019-03-05)\",\n            method: \"GET\",\n            params: {},\n            url: \"/licenses\"\n        },\n        listCommonlyUsed: { method: \"GET\", params: {}, url: \"/licenses\" }\n    },\n    markdown: {\n        render: {\n            method: \"POST\",\n            params: {\n                context: { type: \"string\" },\n                mode: { enum: [\"markdown\", \"gfm\"], type: \"string\" },\n                text: { required: true, type: \"string\" }\n            },\n            url: \"/markdown\"\n        },\n        renderRaw: {\n            headers: { \"content-type\": \"text/plain; charset=utf-8\" },\n            method: \"POST\",\n            params: { data: { mapTo: \"data\", required: true, type: \"string\" } },\n            url: \"/markdown/raw\"\n        }\n    },\n    meta: { get: { method: \"GET\", params: {}, url: \"/meta\" } },\n    migrations: {\n        cancelImport: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import\"\n        },\n        deleteArchiveForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"DELETE\",\n            params: { migration_id: { required: true, type: \"integer\" } },\n            url: \"/user/migrations/:migration_id/archive\"\n        },\n        deleteArchiveForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/archive\"\n        },\n        downloadArchiveForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/archive\"\n        },\n        getArchiveForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: { migration_id: { required: true, type: \"integer\" } },\n            url: \"/user/migrations/:migration_id/archive\"\n        },\n        getArchiveForOrg: {\n            deprecated: \"octokit.migrations.getArchiveForOrg() has been renamed to octokit.migrations.downloadArchiveForOrg() (2020-01-27)\",\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/archive\"\n        },\n        getCommitAuthors: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import/authors\"\n        },\n        getImportProgress: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import\"\n        },\n        getLargeFiles: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import/large_files\"\n        },\n        getStatusForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: { migration_id: { required: true, type: \"integer\" } },\n            url: \"/user/migrations/:migration_id\"\n        },\n        getStatusForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id\"\n        },\n        listForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/migrations\"\n        },\n        listForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/migrations\"\n        },\n        listReposForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/repositories\"\n        },\n        listReposForUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/user/:migration_id/repositories\"\n        },\n        mapCommitAuthor: {\n            method: \"PATCH\",\n            params: {\n                author_id: { required: true, type: \"integer\" },\n                email: { type: \"string\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import/authors/:author_id\"\n        },\n        setLfsPreference: {\n            method: \"PATCH\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                use_lfs: { enum: [\"opt_in\", \"opt_out\"], required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import/lfs\"\n        },\n        startForAuthenticatedUser: {\n            method: \"POST\",\n            params: {\n                exclude_attachments: { type: \"boolean\" },\n                lock_repositories: { type: \"boolean\" },\n                repositories: { required: true, type: \"string[]\" }\n            },\n            url: \"/user/migrations\"\n        },\n        startForOrg: {\n            method: \"POST\",\n            params: {\n                exclude_attachments: { type: \"boolean\" },\n                lock_repositories: { type: \"boolean\" },\n                org: { required: true, type: \"string\" },\n                repositories: { required: true, type: \"string[]\" }\n            },\n            url: \"/orgs/:org/migrations\"\n        },\n        startImport: {\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tfvc_project: { type: \"string\" },\n                vcs: {\n                    enum: [\"subversion\", \"git\", \"mercurial\", \"tfvc\"],\n                    type: \"string\"\n                },\n                vcs_password: { type: \"string\" },\n                vcs_url: { required: true, type: \"string\" },\n                vcs_username: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import\"\n        },\n        unlockRepoForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                repo_name: { required: true, type: \"string\" }\n            },\n            url: \"/user/migrations/:migration_id/repos/:repo_name/lock\"\n        },\n        unlockRepoForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                repo_name: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/repos/:repo_name/lock\"\n        },\n        updateImport: {\n            method: \"PATCH\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                vcs_password: { type: \"string\" },\n                vcs_username: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import\"\n        }\n    },\n    oauthAuthorizations: {\n        checkAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.checkAuthorization() has been renamed to octokit.apps.checkAuthorization() (2019-11-05)\",\n            method: \"GET\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        createAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.createAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization\",\n            method: \"POST\",\n            params: {\n                client_id: { type: \"string\" },\n                client_secret: { type: \"string\" },\n                fingerprint: { type: \"string\" },\n                note: { required: true, type: \"string\" },\n                note_url: { type: \"string\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations\"\n        },\n        deleteAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.deleteAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization\",\n            method: \"DELETE\",\n            params: { authorization_id: { required: true, type: \"integer\" } },\n            url: \"/authorizations/:authorization_id\"\n        },\n        deleteGrant: {\n            deprecated: \"octokit.oauthAuthorizations.deleteGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-a-grant\",\n            method: \"DELETE\",\n            params: { grant_id: { required: true, type: \"integer\" } },\n            url: \"/applications/grants/:grant_id\"\n        },\n        getAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.getAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization\",\n            method: \"GET\",\n            params: { authorization_id: { required: true, type: \"integer\" } },\n            url: \"/authorizations/:authorization_id\"\n        },\n        getGrant: {\n            deprecated: \"octokit.oauthAuthorizations.getGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant\",\n            method: \"GET\",\n            params: { grant_id: { required: true, type: \"integer\" } },\n            url: \"/applications/grants/:grant_id\"\n        },\n        getOrCreateAuthorizationForApp: {\n            deprecated: \"octokit.oauthAuthorizations.getOrCreateAuthorizationForApp() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app\",\n            method: \"PUT\",\n            params: {\n                client_id: { required: true, type: \"string\" },\n                client_secret: { required: true, type: \"string\" },\n                fingerprint: { type: \"string\" },\n                note: { type: \"string\" },\n                note_url: { type: \"string\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations/clients/:client_id\"\n        },\n        getOrCreateAuthorizationForAppAndFingerprint: {\n            deprecated: \"octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint\",\n            method: \"PUT\",\n            params: {\n                client_id: { required: true, type: \"string\" },\n                client_secret: { required: true, type: \"string\" },\n                fingerprint: { required: true, type: \"string\" },\n                note: { type: \"string\" },\n                note_url: { type: \"string\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations/clients/:client_id/:fingerprint\"\n        },\n        getOrCreateAuthorizationForAppFingerprint: {\n            deprecated: \"octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint() has been renamed to octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() (2018-12-27)\",\n            method: \"PUT\",\n            params: {\n                client_id: { required: true, type: \"string\" },\n                client_secret: { required: true, type: \"string\" },\n                fingerprint: { required: true, type: \"string\" },\n                note: { type: \"string\" },\n                note_url: { type: \"string\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations/clients/:client_id/:fingerprint\"\n        },\n        listAuthorizations: {\n            deprecated: \"octokit.oauthAuthorizations.listAuthorizations() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations\",\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/authorizations\"\n        },\n        listGrants: {\n            deprecated: \"octokit.oauthAuthorizations.listGrants() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-grants\",\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/applications/grants\"\n        },\n        resetAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.resetAuthorization() has been renamed to octokit.apps.resetAuthorization() (2019-11-05)\",\n            method: \"POST\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        revokeAuthorizationForApplication: {\n            deprecated: \"octokit.oauthAuthorizations.revokeAuthorizationForApplication() has been renamed to octokit.apps.revokeAuthorizationForApplication() (2019-11-05)\",\n            method: \"DELETE\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        revokeGrantForApplication: {\n            deprecated: \"octokit.oauthAuthorizations.revokeGrantForApplication() has been renamed to octokit.apps.revokeGrantForApplication() (2019-11-05)\",\n            method: \"DELETE\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/grants/:access_token\"\n        },\n        updateAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.updateAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization\",\n            method: \"PATCH\",\n            params: {\n                add_scopes: { type: \"string[]\" },\n                authorization_id: { required: true, type: \"integer\" },\n                fingerprint: { type: \"string\" },\n                note: { type: \"string\" },\n                note_url: { type: \"string\" },\n                remove_scopes: { type: \"string[]\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations/:authorization_id\"\n        }\n    },\n    orgs: {\n        addOrUpdateMembership: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                role: { enum: [\"admin\", \"member\"], type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/memberships/:username\"\n        },\n        blockUser: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/blocks/:username\"\n        },\n        checkBlockedUser: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/blocks/:username\"\n        },\n        checkMembership: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/members/:username\"\n        },\n        checkPublicMembership: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/public_members/:username\"\n        },\n        concealMembership: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/public_members/:username\"\n        },\n        convertMemberToOutsideCollaborator: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/outside_collaborators/:username\"\n        },\n        createHook: {\n            method: \"POST\",\n            params: {\n                active: { type: \"boolean\" },\n                config: { required: true, type: \"object\" },\n                \"config.content_type\": { type: \"string\" },\n                \"config.insecure_ssl\": { type: \"string\" },\n                \"config.secret\": { type: \"string\" },\n                \"config.url\": { required: true, type: \"string\" },\n                events: { type: \"string[]\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks\"\n        },\n        createInvitation: {\n            method: \"POST\",\n            params: {\n                email: { type: \"string\" },\n                invitee_id: { type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                role: {\n                    enum: [\"admin\", \"direct_member\", \"billing_manager\"],\n                    type: \"string\"\n                },\n                team_ids: { type: \"integer[]\" }\n            },\n            url: \"/orgs/:org/invitations\"\n        },\n        deleteHook: {\n            method: \"DELETE\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks/:hook_id\"\n        },\n        get: {\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org\"\n        },\n        getHook: {\n            method: \"GET\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks/:hook_id\"\n        },\n        getMembership: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/memberships/:username\"\n        },\n        getMembershipForAuthenticatedUser: {\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/user/memberships/orgs/:org\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"integer\" }\n            },\n            url: \"/organizations\"\n        },\n        listBlockedUsers: {\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/blocks\"\n        },\n        listForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/orgs\"\n        },\n        listForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/orgs\"\n        },\n        listHooks: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/hooks\"\n        },\n        listInstallations: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/installations\"\n        },\n        listInvitationTeams: {\n            method: \"GET\",\n            params: {\n                invitation_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/invitations/:invitation_id/teams\"\n        },\n        listMembers: {\n            method: \"GET\",\n            params: {\n                filter: { enum: [\"2fa_disabled\", \"all\"], type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                role: { enum: [\"all\", \"admin\", \"member\"], type: \"string\" }\n            },\n            url: \"/orgs/:org/members\"\n        },\n        listMemberships: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                state: { enum: [\"active\", \"pending\"], type: \"string\" }\n            },\n            url: \"/user/memberships/orgs\"\n        },\n        listOutsideCollaborators: {\n            method: \"GET\",\n            params: {\n                filter: { enum: [\"2fa_disabled\", \"all\"], type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/outside_collaborators\"\n        },\n        listPendingInvitations: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/invitations\"\n        },\n        listPublicMembers: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/public_members\"\n        },\n        pingHook: {\n            method: \"POST\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks/:hook_id/pings\"\n        },\n        publicizeMembership: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/public_members/:username\"\n        },\n        removeMember: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/members/:username\"\n        },\n        removeMembership: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/memberships/:username\"\n        },\n        removeOutsideCollaborator: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/outside_collaborators/:username\"\n        },\n        unblockUser: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/blocks/:username\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                billing_email: { type: \"string\" },\n                company: { type: \"string\" },\n                default_repository_permission: {\n                    enum: [\"read\", \"write\", \"admin\", \"none\"],\n                    type: \"string\"\n                },\n                description: { type: \"string\" },\n                email: { type: \"string\" },\n                has_organization_projects: { type: \"boolean\" },\n                has_repository_projects: { type: \"boolean\" },\n                location: { type: \"string\" },\n                members_allowed_repository_creation_type: {\n                    enum: [\"all\", \"private\", \"none\"],\n                    type: \"string\"\n                },\n                members_can_create_internal_repositories: { type: \"boolean\" },\n                members_can_create_private_repositories: { type: \"boolean\" },\n                members_can_create_public_repositories: { type: \"boolean\" },\n                members_can_create_repositories: { type: \"boolean\" },\n                name: { type: \"string\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org\"\n        },\n        updateHook: {\n            method: \"PATCH\",\n            params: {\n                active: { type: \"boolean\" },\n                config: { type: \"object\" },\n                \"config.content_type\": { type: \"string\" },\n                \"config.insecure_ssl\": { type: \"string\" },\n                \"config.secret\": { type: \"string\" },\n                \"config.url\": { required: true, type: \"string\" },\n                events: { type: \"string[]\" },\n                hook_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks/:hook_id\"\n        },\n        updateMembership: {\n            method: \"PATCH\",\n            params: {\n                org: { required: true, type: \"string\" },\n                state: { enum: [\"active\"], required: true, type: \"string\" }\n            },\n            url: \"/user/memberships/orgs/:org\"\n        }\n    },\n    projects: {\n        addCollaborator: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PUT\",\n            params: {\n                permission: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/projects/:project_id/collaborators/:username\"\n        },\n        createCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                column_id: { required: true, type: \"integer\" },\n                content_id: { type: \"integer\" },\n                content_type: { type: \"string\" },\n                note: { type: \"string\" }\n            },\n            url: \"/projects/columns/:column_id/cards\"\n        },\n        createColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                name: { required: true, type: \"string\" },\n                project_id: { required: true, type: \"integer\" }\n            },\n            url: \"/projects/:project_id/columns\"\n        },\n        createForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                name: { required: true, type: \"string\" }\n            },\n            url: \"/user/projects\"\n        },\n        createForOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/projects\"\n        },\n        createForRepo: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/projects\"\n        },\n        delete: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"DELETE\",\n            params: { project_id: { required: true, type: \"integer\" } },\n            url: \"/projects/:project_id\"\n        },\n        deleteCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"DELETE\",\n            params: { card_id: { required: true, type: \"integer\" } },\n            url: \"/projects/columns/cards/:card_id\"\n        },\n        deleteColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"DELETE\",\n            params: { column_id: { required: true, type: \"integer\" } },\n            url: \"/projects/columns/:column_id\"\n        },\n        get: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: { project_id: { required: true, type: \"integer\" } },\n            url: \"/projects/:project_id\"\n        },\n        getCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: { card_id: { required: true, type: \"integer\" } },\n            url: \"/projects/columns/cards/:card_id\"\n        },\n        getColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: { column_id: { required: true, type: \"integer\" } },\n            url: \"/projects/columns/:column_id\"\n        },\n        listCards: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                archived_state: {\n                    enum: [\"all\", \"archived\", \"not_archived\"],\n                    type: \"string\"\n                },\n                column_id: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/projects/columns/:column_id/cards\"\n        },\n        listCollaborators: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                affiliation: { enum: [\"outside\", \"direct\", \"all\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                project_id: { required: true, type: \"integer\" }\n            },\n            url: \"/projects/:project_id/collaborators\"\n        },\n        listColumns: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                project_id: { required: true, type: \"integer\" }\n            },\n            url: \"/projects/:project_id/columns\"\n        },\n        listForOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/orgs/:org/projects\"\n        },\n        listForRepo: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/projects\"\n        },\n        listForUser: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/projects\"\n        },\n        moveCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                card_id: { required: true, type: \"integer\" },\n                column_id: { type: \"integer\" },\n                position: {\n                    required: true,\n                    type: \"string\",\n                    validation: \"^(top|bottom|after:\\\\d+)$\"\n                }\n            },\n            url: \"/projects/columns/cards/:card_id/moves\"\n        },\n        moveColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                column_id: { required: true, type: \"integer\" },\n                position: {\n                    required: true,\n                    type: \"string\",\n                    validation: \"^(first|last|after:\\\\d+)$\"\n                }\n            },\n            url: \"/projects/columns/:column_id/moves\"\n        },\n        removeCollaborator: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/projects/:project_id/collaborators/:username\"\n        },\n        reviewUserPermissionLevel: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/projects/:project_id/collaborators/:username/permission\"\n        },\n        update: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                name: { type: \"string\" },\n                organization_permission: { type: \"string\" },\n                private: { type: \"boolean\" },\n                project_id: { required: true, type: \"integer\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" }\n            },\n            url: \"/projects/:project_id\"\n        },\n        updateCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                archived: { type: \"boolean\" },\n                card_id: { required: true, type: \"integer\" },\n                note: { type: \"string\" }\n            },\n            url: \"/projects/columns/cards/:card_id\"\n        },\n        updateColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                column_id: { required: true, type: \"integer\" },\n                name: { required: true, type: \"string\" }\n            },\n            url: \"/projects/columns/:column_id\"\n        }\n    },\n    pulls: {\n        checkIfMerged: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/merge\"\n        },\n        create: {\n            method: \"POST\",\n            params: {\n                base: { required: true, type: \"string\" },\n                body: { type: \"string\" },\n                draft: { type: \"boolean\" },\n                head: { required: true, type: \"string\" },\n                maintainer_can_modify: { type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls\"\n        },\n        createComment: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                commit_id: { required: true, type: \"string\" },\n                in_reply_to: {\n                    deprecated: true,\n                    description: \"The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.\",\n                    type: \"integer\"\n                },\n                line: { type: \"integer\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                position: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                side: { enum: [\"LEFT\", \"RIGHT\"], type: \"string\" },\n                start_line: { type: \"integer\" },\n                start_side: { enum: [\"LEFT\", \"RIGHT\", \"side\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/comments\"\n        },\n        createCommentReply: {\n            deprecated: \"octokit.pulls.createCommentReply() has been renamed to octokit.pulls.createComment() (2019-09-09)\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                commit_id: { required: true, type: \"string\" },\n                in_reply_to: {\n                    deprecated: true,\n                    description: \"The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.\",\n                    type: \"integer\"\n                },\n                line: { type: \"integer\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                position: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                side: { enum: [\"LEFT\", \"RIGHT\"], type: \"string\" },\n                start_line: { type: \"integer\" },\n                start_side: { enum: [\"LEFT\", \"RIGHT\", \"side\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/comments\"\n        },\n        createFromIssue: {\n            deprecated: \"octokit.pulls.createFromIssue() is deprecated, see https://developer.github.com/v3/pulls/#create-a-pull-request\",\n            method: \"POST\",\n            params: {\n                base: { required: true, type: \"string\" },\n                draft: { type: \"boolean\" },\n                head: { required: true, type: \"string\" },\n                issue: { required: true, type: \"integer\" },\n                maintainer_can_modify: { type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls\"\n        },\n        createReview: {\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                comments: { type: \"object[]\" },\n                \"comments[].body\": { required: true, type: \"string\" },\n                \"comments[].path\": { required: true, type: \"string\" },\n                \"comments[].position\": { required: true, type: \"integer\" },\n                commit_id: { type: \"string\" },\n                event: {\n                    enum: [\"APPROVE\", \"REQUEST_CHANGES\", \"COMMENT\"],\n                    type: \"string\"\n                },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews\"\n        },\n        createReviewCommentReply: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies\"\n        },\n        createReviewRequest: {\n            method: \"POST\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                reviewers: { type: \"string[]\" },\n                team_reviewers: { type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/requested_reviewers\"\n        },\n        deleteComment: {\n            method: \"DELETE\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id\"\n        },\n        deletePendingReview: {\n            method: \"DELETE\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id\"\n        },\n        deleteReviewRequest: {\n            method: \"DELETE\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                reviewers: { type: \"string[]\" },\n                team_reviewers: { type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/requested_reviewers\"\n        },\n        dismissReview: {\n            method: \"PUT\",\n            params: {\n                message: { required: true, type: \"string\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals\"\n        },\n        get: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number\"\n        },\n        getComment: {\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id\"\n        },\n        getCommentsForReview: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments\"\n        },\n        getReview: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                base: { type: \"string\" },\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                head: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sort: {\n                    enum: [\"created\", \"updated\", \"popularity\", \"long-running\"],\n                    type: \"string\"\n                },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls\"\n        },\n        listComments: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/comments\"\n        },\n        listCommentsForRepo: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments\"\n        },\n        listCommits: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/commits\"\n        },\n        listFiles: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/files\"\n        },\n        listReviewRequests: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/requested_reviewers\"\n        },\n        listReviews: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews\"\n        },\n        merge: {\n            method: \"PUT\",\n            params: {\n                commit_message: { type: \"string\" },\n                commit_title: { type: \"string\" },\n                merge_method: { enum: [\"merge\", \"squash\", \"rebase\"], type: \"string\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/merge\"\n        },\n        submitReview: {\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                event: {\n                    enum: [\"APPROVE\", \"REQUEST_CHANGES\", \"COMMENT\"],\n                    required: true,\n                    type: \"string\"\n                },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                base: { type: \"string\" },\n                body: { type: \"string\" },\n                maintainer_can_modify: { type: \"boolean\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number\"\n        },\n        updateBranch: {\n            headers: { accept: \"application/vnd.github.lydian-preview+json\" },\n            method: \"PUT\",\n            params: {\n                expected_head_sha: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/update-branch\"\n        },\n        updateComment: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id\"\n        },\n        updateReview: {\n            method: \"PUT\",\n            params: {\n                body: { required: true, type: \"string\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id\"\n        }\n    },\n    rateLimit: { get: { method: \"GET\", params: {}, url: \"/rate_limit\" } },\n    reactions: {\n        createForCommitComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id/reactions\"\n        },\n        createForIssue: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/reactions\"\n        },\n        createForIssueComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id/reactions\"\n        },\n        createForPullRequestReviewComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id/reactions\"\n        },\n        createForTeamDiscussion: {\n            deprecated: \"octokit.reactions.createForTeamDiscussion() has been renamed to octokit.reactions.createForTeamDiscussionLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/reactions\"\n        },\n        createForTeamDiscussionComment: {\n            deprecated: \"octokit.reactions.createForTeamDiscussionComment() has been renamed to octokit.reactions.createForTeamDiscussionCommentLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        createForTeamDiscussionCommentInOrg: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        createForTeamDiscussionCommentLegacy: {\n            deprecated: \"octokit.reactions.createForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        createForTeamDiscussionInOrg: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions\"\n        },\n        createForTeamDiscussionLegacy: {\n            deprecated: \"octokit.reactions.createForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/reactions\"\n        },\n        delete: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"DELETE\",\n            params: { reaction_id: { required: true, type: \"integer\" } },\n            url: \"/reactions/:reaction_id\"\n        },\n        listForCommitComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id/reactions\"\n        },\n        listForIssue: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/reactions\"\n        },\n        listForIssueComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id/reactions\"\n        },\n        listForPullRequestReviewComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id/reactions\"\n        },\n        listForTeamDiscussion: {\n            deprecated: \"octokit.reactions.listForTeamDiscussion() has been renamed to octokit.reactions.listForTeamDiscussionLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/reactions\"\n        },\n        listForTeamDiscussionComment: {\n            deprecated: \"octokit.reactions.listForTeamDiscussionComment() has been renamed to octokit.reactions.listForTeamDiscussionCommentLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        listForTeamDiscussionCommentInOrg: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        listForTeamDiscussionCommentLegacy: {\n            deprecated: \"octokit.reactions.listForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        listForTeamDiscussionInOrg: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions\"\n        },\n        listForTeamDiscussionLegacy: {\n            deprecated: \"octokit.reactions.listForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/reactions\"\n        }\n    },\n    repos: {\n        acceptInvitation: {\n            method: \"PATCH\",\n            params: { invitation_id: { required: true, type: \"integer\" } },\n            url: \"/user/repository_invitations/:invitation_id\"\n        },\n        addCollaborator: {\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators/:username\"\n        },\n        addDeployKey: {\n            method: \"POST\",\n            params: {\n                key: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                read_only: { type: \"boolean\" },\n                repo: { required: true, type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/keys\"\n        },\n        addProtectedBranchAdminEnforcement: {\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/enforce_admins\"\n        },\n        addProtectedBranchAppRestrictions: {\n            method: \"POST\",\n            params: {\n                apps: { mapTo: \"data\", required: true, type: \"string[]\" },\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        addProtectedBranchRequiredSignatures: {\n            headers: { accept: \"application/vnd.github.zzzax-preview+json\" },\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_signatures\"\n        },\n        addProtectedBranchRequiredStatusChecksContexts: {\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                contexts: { mapTo: \"data\", required: true, type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts\"\n        },\n        addProtectedBranchTeamRestrictions: {\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                teams: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        addProtectedBranchUserRestrictions: {\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                users: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        checkCollaborator: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators/:username\"\n        },\n        checkVulnerabilityAlerts: {\n            headers: { accept: \"application/vnd.github.dorian-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/vulnerability-alerts\"\n        },\n        compareCommits: {\n            method: \"GET\",\n            params: {\n                base: { required: true, type: \"string\" },\n                head: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/compare/:base...:head\"\n        },\n        createCommitComment: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                commit_sha: { required: true, type: \"string\" },\n                line: { type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                path: { type: \"string\" },\n                position: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sha: { alias: \"commit_sha\", deprecated: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:commit_sha/comments\"\n        },\n        createDeployment: {\n            method: \"POST\",\n            params: {\n                auto_merge: { type: \"boolean\" },\n                description: { type: \"string\" },\n                environment: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                payload: { type: \"string\" },\n                production_environment: { type: \"boolean\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                required_contexts: { type: \"string[]\" },\n                task: { type: \"string\" },\n                transient_environment: { type: \"boolean\" }\n            },\n            url: \"/repos/:owner/:repo/deployments\"\n        },\n        createDeploymentStatus: {\n            method: \"POST\",\n            params: {\n                auto_inactive: { type: \"boolean\" },\n                deployment_id: { required: true, type: \"integer\" },\n                description: { type: \"string\" },\n                environment: { enum: [\"production\", \"staging\", \"qa\"], type: \"string\" },\n                environment_url: { type: \"string\" },\n                log_url: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                state: {\n                    enum: [\n                        \"error\",\n                        \"failure\",\n                        \"inactive\",\n                        \"in_progress\",\n                        \"queued\",\n                        \"pending\",\n                        \"success\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                target_url: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/deployments/:deployment_id/statuses\"\n        },\n        createDispatchEvent: {\n            method: \"POST\",\n            params: {\n                client_payload: { type: \"object\" },\n                event_type: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/dispatches\"\n        },\n        createFile: {\n            deprecated: \"octokit.repos.createFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)\",\n            method: \"PUT\",\n            params: {\n                author: { type: \"object\" },\n                \"author.email\": { required: true, type: \"string\" },\n                \"author.name\": { required: true, type: \"string\" },\n                branch: { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.email\": { required: true, type: \"string\" },\n                \"committer.name\": { required: true, type: \"string\" },\n                content: { required: true, type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        createForAuthenticatedUser: {\n            method: \"POST\",\n            params: {\n                allow_merge_commit: { type: \"boolean\" },\n                allow_rebase_merge: { type: \"boolean\" },\n                allow_squash_merge: { type: \"boolean\" },\n                auto_init: { type: \"boolean\" },\n                delete_branch_on_merge: { type: \"boolean\" },\n                description: { type: \"string\" },\n                gitignore_template: { type: \"string\" },\n                has_issues: { type: \"boolean\" },\n                has_projects: { type: \"boolean\" },\n                has_wiki: { type: \"boolean\" },\n                homepage: { type: \"string\" },\n                is_template: { type: \"boolean\" },\n                license_template: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_id: { type: \"integer\" },\n                visibility: {\n                    enum: [\"public\", \"private\", \"visibility\", \"internal\"],\n                    type: \"string\"\n                }\n            },\n            url: \"/user/repos\"\n        },\n        createFork: {\n            method: \"POST\",\n            params: {\n                organization: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/forks\"\n        },\n        createHook: {\n            method: \"POST\",\n            params: {\n                active: { type: \"boolean\" },\n                config: { required: true, type: \"object\" },\n                \"config.content_type\": { type: \"string\" },\n                \"config.insecure_ssl\": { type: \"string\" },\n                \"config.secret\": { type: \"string\" },\n                \"config.url\": { required: true, type: \"string\" },\n                events: { type: \"string[]\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks\"\n        },\n        createInOrg: {\n            method: \"POST\",\n            params: {\n                allow_merge_commit: { type: \"boolean\" },\n                allow_rebase_merge: { type: \"boolean\" },\n                allow_squash_merge: { type: \"boolean\" },\n                auto_init: { type: \"boolean\" },\n                delete_branch_on_merge: { type: \"boolean\" },\n                description: { type: \"string\" },\n                gitignore_template: { type: \"string\" },\n                has_issues: { type: \"boolean\" },\n                has_projects: { type: \"boolean\" },\n                has_wiki: { type: \"boolean\" },\n                homepage: { type: \"string\" },\n                is_template: { type: \"boolean\" },\n                license_template: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_id: { type: \"integer\" },\n                visibility: {\n                    enum: [\"public\", \"private\", \"visibility\", \"internal\"],\n                    type: \"string\"\n                }\n            },\n            url: \"/orgs/:org/repos\"\n        },\n        createOrUpdateFile: {\n            method: \"PUT\",\n            params: {\n                author: { type: \"object\" },\n                \"author.email\": { required: true, type: \"string\" },\n                \"author.name\": { required: true, type: \"string\" },\n                branch: { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.email\": { required: true, type: \"string\" },\n                \"committer.name\": { required: true, type: \"string\" },\n                content: { required: true, type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        createRelease: {\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                draft: { type: \"boolean\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                prerelease: { type: \"boolean\" },\n                repo: { required: true, type: \"string\" },\n                tag_name: { required: true, type: \"string\" },\n                target_commitish: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases\"\n        },\n        createStatus: {\n            method: \"POST\",\n            params: {\n                context: { type: \"string\" },\n                description: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" },\n                state: {\n                    enum: [\"error\", \"failure\", \"pending\", \"success\"],\n                    required: true,\n                    type: \"string\"\n                },\n                target_url: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/statuses/:sha\"\n        },\n        createUsingTemplate: {\n            headers: { accept: \"application/vnd.github.baptiste-preview+json\" },\n            method: \"POST\",\n            params: {\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                owner: { type: \"string\" },\n                private: { type: \"boolean\" },\n                template_owner: { required: true, type: \"string\" },\n                template_repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:template_owner/:template_repo/generate\"\n        },\n        declineInvitation: {\n            method: \"DELETE\",\n            params: { invitation_id: { required: true, type: \"integer\" } },\n            url: \"/user/repository_invitations/:invitation_id\"\n        },\n        delete: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo\"\n        },\n        deleteCommitComment: {\n            method: \"DELETE\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id\"\n        },\n        deleteDownload: {\n            method: \"DELETE\",\n            params: {\n                download_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/downloads/:download_id\"\n        },\n        deleteFile: {\n            method: \"DELETE\",\n            params: {\n                author: { type: \"object\" },\n                \"author.email\": { type: \"string\" },\n                \"author.name\": { type: \"string\" },\n                branch: { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.email\": { type: \"string\" },\n                \"committer.name\": { type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        deleteHook: {\n            method: \"DELETE\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id\"\n        },\n        deleteInvitation: {\n            method: \"DELETE\",\n            params: {\n                invitation_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/invitations/:invitation_id\"\n        },\n        deleteRelease: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                release_id: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/:release_id\"\n        },\n        deleteReleaseAsset: {\n            method: \"DELETE\",\n            params: {\n                asset_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/assets/:asset_id\"\n        },\n        disableAutomatedSecurityFixes: {\n            headers: { accept: \"application/vnd.github.london-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/automated-security-fixes\"\n        },\n        disablePagesSite: {\n            headers: { accept: \"application/vnd.github.switcheroo-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages\"\n        },\n        disableVulnerabilityAlerts: {\n            headers: { accept: \"application/vnd.github.dorian-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/vulnerability-alerts\"\n        },\n        enableAutomatedSecurityFixes: {\n            headers: { accept: \"application/vnd.github.london-preview+json\" },\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/automated-security-fixes\"\n        },\n        enablePagesSite: {\n            headers: { accept: \"application/vnd.github.switcheroo-preview+json\" },\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                source: { type: \"object\" },\n                \"source.branch\": { enum: [\"master\", \"gh-pages\"], type: \"string\" },\n                \"source.path\": { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages\"\n        },\n        enableVulnerabilityAlerts: {\n            headers: { accept: \"application/vnd.github.dorian-preview+json\" },\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/vulnerability-alerts\"\n        },\n        get: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo\"\n        },\n        getAppsWithAccessToProtectedBranch: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        getArchiveLink: {\n            method: \"GET\",\n            params: {\n                archive_format: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/:archive_format/:ref\"\n        },\n        getBranch: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch\"\n        },\n        getBranchProtection: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection\"\n        },\n        getClones: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                per: { enum: [\"day\", \"week\"], type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/traffic/clones\"\n        },\n        getCodeFrequencyStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/code_frequency\"\n        },\n        getCollaboratorPermissionLevel: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators/:username/permission\"\n        },\n        getCombinedStatusForRef: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref/status\"\n        },\n        getCommit: {\n            method: \"GET\",\n            params: {\n                commit_sha: { alias: \"ref\", deprecated: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { alias: \"ref\", deprecated: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref\"\n        },\n        getCommitActivityStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/commit_activity\"\n        },\n        getCommitComment: {\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id\"\n        },\n        getCommitRefSha: {\n            deprecated: \"octokit.repos.getCommitRefSha() is deprecated, see https://developer.github.com/v3/repos/commits/#get-a-single-commit\",\n            headers: { accept: \"application/vnd.github.v3.sha\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref\"\n        },\n        getContents: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                ref: { type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        getContributorsStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/contributors\"\n        },\n        getDeployKey: {\n            method: \"GET\",\n            params: {\n                key_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/keys/:key_id\"\n        },\n        getDeployment: {\n            method: \"GET\",\n            params: {\n                deployment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/deployments/:deployment_id\"\n        },\n        getDeploymentStatus: {\n            method: \"GET\",\n            params: {\n                deployment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                status_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id\"\n        },\n        getDownload: {\n            method: \"GET\",\n            params: {\n                download_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/downloads/:download_id\"\n        },\n        getHook: {\n            method: \"GET\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id\"\n        },\n        getLatestPagesBuild: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages/builds/latest\"\n        },\n        getLatestRelease: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/latest\"\n        },\n        getPages: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages\"\n        },\n        getPagesBuild: {\n            method: \"GET\",\n            params: {\n                build_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages/builds/:build_id\"\n        },\n        getParticipationStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/participation\"\n        },\n        getProtectedBranchAdminEnforcement: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/enforce_admins\"\n        },\n        getProtectedBranchPullRequestReviewEnforcement: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews\"\n        },\n        getProtectedBranchRequiredSignatures: {\n            headers: { accept: \"application/vnd.github.zzzax-preview+json\" },\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_signatures\"\n        },\n        getProtectedBranchRequiredStatusChecks: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks\"\n        },\n        getProtectedBranchRestrictions: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions\"\n        },\n        getPunchCardStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/punch_card\"\n        },\n        getReadme: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/readme\"\n        },\n        getRelease: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                release_id: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/:release_id\"\n        },\n        getReleaseAsset: {\n            method: \"GET\",\n            params: {\n                asset_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/assets/:asset_id\"\n        },\n        getReleaseByTag: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tag: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/tags/:tag\"\n        },\n        getTeamsWithAccessToProtectedBranch: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        getTopPaths: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/traffic/popular/paths\"\n        },\n        getTopReferrers: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/traffic/popular/referrers\"\n        },\n        getUsersWithAccessToProtectedBranch: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        getViews: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                per: { enum: [\"day\", \"week\"], type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/traffic/views\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                affiliation: { type: \"string\" },\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: {\n                    enum: [\"created\", \"updated\", \"pushed\", \"full_name\"],\n                    type: \"string\"\n                },\n                type: {\n                    enum: [\"all\", \"owner\", \"public\", \"private\", \"member\"],\n                    type: \"string\"\n                },\n                visibility: { enum: [\"all\", \"public\", \"private\"], type: \"string\" }\n            },\n            url: \"/user/repos\"\n        },\n        listAppsWithAccessToProtectedBranch: {\n            deprecated: \"octokit.repos.listAppsWithAccessToProtectedBranch() has been renamed to octokit.repos.getAppsWithAccessToProtectedBranch() (2019-09-13)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        listAssetsForRelease: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                release_id: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/:release_id/assets\"\n        },\n        listBranches: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                protected: { type: \"boolean\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches\"\n        },\n        listBranchesForHeadCommit: {\n            headers: { accept: \"application/vnd.github.groot-preview+json\" },\n            method: \"GET\",\n            params: {\n                commit_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:commit_sha/branches-where-head\"\n        },\n        listCollaborators: {\n            method: \"GET\",\n            params: {\n                affiliation: { enum: [\"outside\", \"direct\", \"all\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators\"\n        },\n        listCommentsForCommit: {\n            method: \"GET\",\n            params: {\n                commit_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { alias: \"commit_sha\", deprecated: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:commit_sha/comments\"\n        },\n        listCommitComments: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments\"\n        },\n        listCommits: {\n            method: \"GET\",\n            params: {\n                author: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                path: { type: \"string\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" },\n                since: { type: \"string\" },\n                until: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits\"\n        },\n        listContributors: {\n            method: \"GET\",\n            params: {\n                anon: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contributors\"\n        },\n        listDeployKeys: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/keys\"\n        },\n        listDeploymentStatuses: {\n            method: \"GET\",\n            params: {\n                deployment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/deployments/:deployment_id/statuses\"\n        },\n        listDeployments: {\n            method: \"GET\",\n            params: {\n                environment: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" },\n                task: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/deployments\"\n        },\n        listDownloads: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/downloads\"\n        },\n        listForOrg: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: {\n                    enum: [\"created\", \"updated\", \"pushed\", \"full_name\"],\n                    type: \"string\"\n                },\n                type: {\n                    enum: [\n                        \"all\",\n                        \"public\",\n                        \"private\",\n                        \"forks\",\n                        \"sources\",\n                        \"member\",\n                        \"internal\"\n                    ],\n                    type: \"string\"\n                }\n            },\n            url: \"/orgs/:org/repos\"\n        },\n        listForUser: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: {\n                    enum: [\"created\", \"updated\", \"pushed\", \"full_name\"],\n                    type: \"string\"\n                },\n                type: { enum: [\"all\", \"owner\", \"member\"], type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/repos\"\n        },\n        listForks: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sort: { enum: [\"newest\", \"oldest\", \"stargazers\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/forks\"\n        },\n        listHooks: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks\"\n        },\n        listInvitations: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/invitations\"\n        },\n        listInvitationsForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/repository_invitations\"\n        },\n        listLanguages: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/languages\"\n        },\n        listPagesBuilds: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages/builds\"\n        },\n        listProtectedBranchRequiredStatusChecksContexts: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts\"\n        },\n        listProtectedBranchTeamRestrictions: {\n            deprecated: \"octokit.repos.listProtectedBranchTeamRestrictions() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-09)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        listProtectedBranchUserRestrictions: {\n            deprecated: \"octokit.repos.listProtectedBranchUserRestrictions() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-09)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        listPublic: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"integer\" }\n            },\n            url: \"/repositories\"\n        },\n        listPullRequestsAssociatedWithCommit: {\n            headers: { accept: \"application/vnd.github.groot-preview+json\" },\n            method: \"GET\",\n            params: {\n                commit_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:commit_sha/pulls\"\n        },\n        listReleases: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases\"\n        },\n        listStatusesForRef: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref/statuses\"\n        },\n        listTags: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/tags\"\n        },\n        listTeams: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/teams\"\n        },\n        listTeamsWithAccessToProtectedBranch: {\n            deprecated: \"octokit.repos.listTeamsWithAccessToProtectedBranch() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-13)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        listTopics: {\n            headers: { accept: \"application/vnd.github.mercy-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/topics\"\n        },\n        listUsersWithAccessToProtectedBranch: {\n            deprecated: \"octokit.repos.listUsersWithAccessToProtectedBranch() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-13)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        merge: {\n            method: \"POST\",\n            params: {\n                base: { required: true, type: \"string\" },\n                commit_message: { type: \"string\" },\n                head: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/merges\"\n        },\n        pingHook: {\n            method: \"POST\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id/pings\"\n        },\n        removeBranchProtection: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection\"\n        },\n        removeCollaborator: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators/:username\"\n        },\n        removeDeployKey: {\n            method: \"DELETE\",\n            params: {\n                key_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/keys/:key_id\"\n        },\n        removeProtectedBranchAdminEnforcement: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/enforce_admins\"\n        },\n        removeProtectedBranchAppRestrictions: {\n            method: \"DELETE\",\n            params: {\n                apps: { mapTo: \"data\", required: true, type: \"string[]\" },\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        removeProtectedBranchPullRequestReviewEnforcement: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews\"\n        },\n        removeProtectedBranchRequiredSignatures: {\n            headers: { accept: \"application/vnd.github.zzzax-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_signatures\"\n        },\n        removeProtectedBranchRequiredStatusChecks: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks\"\n        },\n        removeProtectedBranchRequiredStatusChecksContexts: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                contexts: { mapTo: \"data\", required: true, type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts\"\n        },\n        removeProtectedBranchRestrictions: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions\"\n        },\n        removeProtectedBranchTeamRestrictions: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                teams: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        removeProtectedBranchUserRestrictions: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                users: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        replaceProtectedBranchAppRestrictions: {\n            method: \"PUT\",\n            params: {\n                apps: { mapTo: \"data\", required: true, type: \"string[]\" },\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        replaceProtectedBranchRequiredStatusChecksContexts: {\n            method: \"PUT\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                contexts: { mapTo: \"data\", required: true, type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts\"\n        },\n        replaceProtectedBranchTeamRestrictions: {\n            method: \"PUT\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                teams: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        replaceProtectedBranchUserRestrictions: {\n            method: \"PUT\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                users: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        replaceTopics: {\n            headers: { accept: \"application/vnd.github.mercy-preview+json\" },\n            method: \"PUT\",\n            params: {\n                names: { required: true, type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/topics\"\n        },\n        requestPageBuild: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages/builds\"\n        },\n        retrieveCommunityProfileMetrics: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/community/profile\"\n        },\n        testPushHook: {\n            method: \"POST\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id/tests\"\n        },\n        transfer: {\n            method: \"POST\",\n            params: {\n                new_owner: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_ids: { type: \"integer[]\" }\n            },\n            url: \"/repos/:owner/:repo/transfer\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                allow_merge_commit: { type: \"boolean\" },\n                allow_rebase_merge: { type: \"boolean\" },\n                allow_squash_merge: { type: \"boolean\" },\n                archived: { type: \"boolean\" },\n                default_branch: { type: \"string\" },\n                delete_branch_on_merge: { type: \"boolean\" },\n                description: { type: \"string\" },\n                has_issues: { type: \"boolean\" },\n                has_projects: { type: \"boolean\" },\n                has_wiki: { type: \"boolean\" },\n                homepage: { type: \"string\" },\n                is_template: { type: \"boolean\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                repo: { required: true, type: \"string\" },\n                visibility: {\n                    enum: [\"public\", \"private\", \"visibility\", \"internal\"],\n                    type: \"string\"\n                }\n            },\n            url: \"/repos/:owner/:repo\"\n        },\n        updateBranchProtection: {\n            method: \"PUT\",\n            params: {\n                allow_deletions: { type: \"boolean\" },\n                allow_force_pushes: { allowNull: true, type: \"boolean\" },\n                branch: { required: true, type: \"string\" },\n                enforce_admins: { allowNull: true, required: true, type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                required_linear_history: { type: \"boolean\" },\n                required_pull_request_reviews: {\n                    allowNull: true,\n                    required: true,\n                    type: \"object\"\n                },\n                \"required_pull_request_reviews.dismiss_stale_reviews\": {\n                    type: \"boolean\"\n                },\n                \"required_pull_request_reviews.dismissal_restrictions\": {\n                    type: \"object\"\n                },\n                \"required_pull_request_reviews.dismissal_restrictions.teams\": {\n                    type: \"string[]\"\n                },\n                \"required_pull_request_reviews.dismissal_restrictions.users\": {\n                    type: \"string[]\"\n                },\n                \"required_pull_request_reviews.require_code_owner_reviews\": {\n                    type: \"boolean\"\n                },\n                \"required_pull_request_reviews.required_approving_review_count\": {\n                    type: \"integer\"\n                },\n                required_status_checks: {\n                    allowNull: true,\n                    required: true,\n                    type: \"object\"\n                },\n                \"required_status_checks.contexts\": { required: true, type: \"string[]\" },\n                \"required_status_checks.strict\": { required: true, type: \"boolean\" },\n                restrictions: { allowNull: true, required: true, type: \"object\" },\n                \"restrictions.apps\": { type: \"string[]\" },\n                \"restrictions.teams\": { required: true, type: \"string[]\" },\n                \"restrictions.users\": { required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection\"\n        },\n        updateCommitComment: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id\"\n        },\n        updateFile: {\n            deprecated: \"octokit.repos.updateFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)\",\n            method: \"PUT\",\n            params: {\n                author: { type: \"object\" },\n                \"author.email\": { required: true, type: \"string\" },\n                \"author.name\": { required: true, type: \"string\" },\n                branch: { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.email\": { required: true, type: \"string\" },\n                \"committer.name\": { required: true, type: \"string\" },\n                content: { required: true, type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        updateHook: {\n            method: \"PATCH\",\n            params: {\n                active: { type: \"boolean\" },\n                add_events: { type: \"string[]\" },\n                config: { type: \"object\" },\n                \"config.content_type\": { type: \"string\" },\n                \"config.insecure_ssl\": { type: \"string\" },\n                \"config.secret\": { type: \"string\" },\n                \"config.url\": { required: true, type: \"string\" },\n                events: { type: \"string[]\" },\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                remove_events: { type: \"string[]\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id\"\n        },\n        updateInformationAboutPagesSite: {\n            method: \"PUT\",\n            params: {\n                cname: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                source: {\n                    enum: ['\"gh-pages\"', '\"master\"', '\"master /docs\"'],\n                    type: \"string\"\n                }\n            },\n            url: \"/repos/:owner/:repo/pages\"\n        },\n        updateInvitation: {\n            method: \"PATCH\",\n            params: {\n                invitation_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                permissions: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/invitations/:invitation_id\"\n        },\n        updateProtectedBranchPullRequestReviewEnforcement: {\n            method: \"PATCH\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                dismiss_stale_reviews: { type: \"boolean\" },\n                dismissal_restrictions: { type: \"object\" },\n                \"dismissal_restrictions.teams\": { type: \"string[]\" },\n                \"dismissal_restrictions.users\": { type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                require_code_owner_reviews: { type: \"boolean\" },\n                required_approving_review_count: { type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews\"\n        },\n        updateProtectedBranchRequiredStatusChecks: {\n            method: \"PATCH\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                contexts: { type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                strict: { type: \"boolean\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks\"\n        },\n        updateRelease: {\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                draft: { type: \"boolean\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                prerelease: { type: \"boolean\" },\n                release_id: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                tag_name: { type: \"string\" },\n                target_commitish: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/:release_id\"\n        },\n        updateReleaseAsset: {\n            method: \"PATCH\",\n            params: {\n                asset_id: { required: true, type: \"integer\" },\n                label: { type: \"string\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/assets/:asset_id\"\n        },\n        uploadReleaseAsset: {\n            method: \"POST\",\n            params: {\n                data: { mapTo: \"data\", required: true, type: \"string | object\" },\n                file: { alias: \"data\", deprecated: true, type: \"string | object\" },\n                headers: { required: true, type: \"object\" },\n                \"headers.content-length\": { required: true, type: \"integer\" },\n                \"headers.content-type\": { required: true, type: \"string\" },\n                label: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                url: { required: true, type: \"string\" }\n            },\n            url: \":url\"\n        }\n    },\n    search: {\n        code: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: { enum: [\"indexed\"], type: \"string\" }\n            },\n            url: \"/search/code\"\n        },\n        commits: {\n            headers: { accept: \"application/vnd.github.cloak-preview+json\" },\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: { enum: [\"author-date\", \"committer-date\"], type: \"string\" }\n            },\n            url: \"/search/commits\"\n        },\n        issues: {\n            deprecated: \"octokit.search.issues() has been renamed to octokit.search.issuesAndPullRequests() (2018-12-27)\",\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: {\n                    enum: [\n                        \"comments\",\n                        \"reactions\",\n                        \"reactions-+1\",\n                        \"reactions--1\",\n                        \"reactions-smile\",\n                        \"reactions-thinking_face\",\n                        \"reactions-heart\",\n                        \"reactions-tada\",\n                        \"interactions\",\n                        \"created\",\n                        \"updated\"\n                    ],\n                    type: \"string\"\n                }\n            },\n            url: \"/search/issues\"\n        },\n        issuesAndPullRequests: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: {\n                    enum: [\n                        \"comments\",\n                        \"reactions\",\n                        \"reactions-+1\",\n                        \"reactions--1\",\n                        \"reactions-smile\",\n                        \"reactions-thinking_face\",\n                        \"reactions-heart\",\n                        \"reactions-tada\",\n                        \"interactions\",\n                        \"created\",\n                        \"updated\"\n                    ],\n                    type: \"string\"\n                }\n            },\n            url: \"/search/issues\"\n        },\n        labels: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                q: { required: true, type: \"string\" },\n                repository_id: { required: true, type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/search/labels\"\n        },\n        repos: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: {\n                    enum: [\"stars\", \"forks\", \"help-wanted-issues\", \"updated\"],\n                    type: \"string\"\n                }\n            },\n            url: \"/search/repositories\"\n        },\n        topics: {\n            method: \"GET\",\n            params: { q: { required: true, type: \"string\" } },\n            url: \"/search/topics\"\n        },\n        users: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: { enum: [\"followers\", \"repositories\", \"joined\"], type: \"string\" }\n            },\n            url: \"/search/users\"\n        }\n    },\n    teams: {\n        addMember: {\n            deprecated: \"octokit.teams.addMember() has been renamed to octokit.teams.addMemberLegacy() (2020-01-16)\",\n            method: \"PUT\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        addMemberLegacy: {\n            deprecated: \"octokit.teams.addMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy\",\n            method: \"PUT\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        addOrUpdateMembership: {\n            deprecated: \"octokit.teams.addOrUpdateMembership() has been renamed to octokit.teams.addOrUpdateMembershipLegacy() (2020-01-16)\",\n            method: \"PUT\",\n            params: {\n                role: { enum: [\"member\", \"maintainer\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        addOrUpdateMembershipInOrg: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                role: { enum: [\"member\", \"maintainer\"], type: \"string\" },\n                team_slug: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/memberships/:username\"\n        },\n        addOrUpdateMembershipLegacy: {\n            deprecated: \"octokit.teams.addOrUpdateMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy\",\n            method: \"PUT\",\n            params: {\n                role: { enum: [\"member\", \"maintainer\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        addOrUpdateProject: {\n            deprecated: \"octokit.teams.addOrUpdateProject() has been renamed to octokit.teams.addOrUpdateProjectLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PUT\",\n            params: {\n                permission: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        addOrUpdateProjectInOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                permission: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/projects/:project_id\"\n        },\n        addOrUpdateProjectLegacy: {\n            deprecated: \"octokit.teams.addOrUpdateProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PUT\",\n            params: {\n                permission: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        addOrUpdateRepo: {\n            deprecated: \"octokit.teams.addOrUpdateRepo() has been renamed to octokit.teams.addOrUpdateRepoLegacy() (2020-01-16)\",\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        addOrUpdateRepoInOrg: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/repos/:owner/:repo\"\n        },\n        addOrUpdateRepoLegacy: {\n            deprecated: \"octokit.teams.addOrUpdateRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy\",\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        checkManagesRepo: {\n            deprecated: \"octokit.teams.checkManagesRepo() has been renamed to octokit.teams.checkManagesRepoLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        checkManagesRepoInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/repos/:owner/:repo\"\n        },\n        checkManagesRepoLegacy: {\n            deprecated: \"octokit.teams.checkManagesRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy\",\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        create: {\n            method: \"POST\",\n            params: {\n                description: { type: \"string\" },\n                maintainers: { type: \"string[]\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" },\n                parent_team_id: { type: \"integer\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                privacy: { enum: [\"secret\", \"closed\"], type: \"string\" },\n                repo_names: { type: \"string[]\" }\n            },\n            url: \"/orgs/:org/teams\"\n        },\n        createDiscussion: {\n            deprecated: \"octokit.teams.createDiscussion() has been renamed to octokit.teams.createDiscussionLegacy() (2020-01-16)\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_id: { required: true, type: \"integer\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/discussions\"\n        },\n        createDiscussionComment: {\n            deprecated: \"octokit.teams.createDiscussionComment() has been renamed to octokit.teams.createDiscussionCommentLegacy() (2020-01-16)\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments\"\n        },\n        createDiscussionCommentInOrg: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments\"\n        },\n        createDiscussionCommentLegacy: {\n            deprecated: \"octokit.teams.createDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments\"\n        },\n        createDiscussionInOrg: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_slug: { required: true, type: \"string\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions\"\n        },\n        createDiscussionLegacy: {\n            deprecated: \"octokit.teams.createDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_id: { required: true, type: \"integer\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/discussions\"\n        },\n        delete: {\n            deprecated: \"octokit.teams.delete() has been renamed to octokit.teams.deleteLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: { team_id: { required: true, type: \"integer\" } },\n            url: \"/teams/:team_id\"\n        },\n        deleteDiscussion: {\n            deprecated: \"octokit.teams.deleteDiscussion() has been renamed to octokit.teams.deleteDiscussionLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        deleteDiscussionComment: {\n            deprecated: \"octokit.teams.deleteDiscussionComment() has been renamed to octokit.teams.deleteDiscussionCommentLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        deleteDiscussionCommentInOrg: {\n            method: \"DELETE\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number\"\n        },\n        deleteDiscussionCommentLegacy: {\n            deprecated: \"octokit.teams.deleteDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy\",\n            method: \"DELETE\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        deleteDiscussionInOrg: {\n            method: \"DELETE\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number\"\n        },\n        deleteDiscussionLegacy: {\n            deprecated: \"octokit.teams.deleteDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy\",\n            method: \"DELETE\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        deleteInOrg: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug\"\n        },\n        deleteLegacy: {\n            deprecated: \"octokit.teams.deleteLegacy() is deprecated, see https://developer.github.com/v3/teams/#delete-team-legacy\",\n            method: \"DELETE\",\n            params: { team_id: { required: true, type: \"integer\" } },\n            url: \"/teams/:team_id\"\n        },\n        get: {\n            deprecated: \"octokit.teams.get() has been renamed to octokit.teams.getLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: { team_id: { required: true, type: \"integer\" } },\n            url: \"/teams/:team_id\"\n        },\n        getByName: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug\"\n        },\n        getDiscussion: {\n            deprecated: \"octokit.teams.getDiscussion() has been renamed to octokit.teams.getDiscussionLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        getDiscussionComment: {\n            deprecated: \"octokit.teams.getDiscussionComment() has been renamed to octokit.teams.getDiscussionCommentLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        getDiscussionCommentInOrg: {\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number\"\n        },\n        getDiscussionCommentLegacy: {\n            deprecated: \"octokit.teams.getDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy\",\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        getDiscussionInOrg: {\n            method: \"GET\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number\"\n        },\n        getDiscussionLegacy: {\n            deprecated: \"octokit.teams.getDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy\",\n            method: \"GET\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        getLegacy: {\n            deprecated: \"octokit.teams.getLegacy() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy\",\n            method: \"GET\",\n            params: { team_id: { required: true, type: \"integer\" } },\n            url: \"/teams/:team_id\"\n        },\n        getMember: {\n            deprecated: \"octokit.teams.getMember() has been renamed to octokit.teams.getMemberLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        getMemberLegacy: {\n            deprecated: \"octokit.teams.getMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy\",\n            method: \"GET\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        getMembership: {\n            deprecated: \"octokit.teams.getMembership() has been renamed to octokit.teams.getMembershipLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        getMembershipInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/memberships/:username\"\n        },\n        getMembershipLegacy: {\n            deprecated: \"octokit.teams.getMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-membership-legacy\",\n            method: \"GET\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/teams\"\n        },\n        listChild: {\n            deprecated: \"octokit.teams.listChild() has been renamed to octokit.teams.listChildLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/teams\"\n        },\n        listChildInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/teams\"\n        },\n        listChildLegacy: {\n            deprecated: \"octokit.teams.listChildLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-child-teams-legacy\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/teams\"\n        },\n        listDiscussionComments: {\n            deprecated: \"octokit.teams.listDiscussionComments() has been renamed to octokit.teams.listDiscussionCommentsLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments\"\n        },\n        listDiscussionCommentsInOrg: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments\"\n        },\n        listDiscussionCommentsLegacy: {\n            deprecated: \"octokit.teams.listDiscussionCommentsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy\",\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments\"\n        },\n        listDiscussions: {\n            deprecated: \"octokit.teams.listDiscussions() has been renamed to octokit.teams.listDiscussionsLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions\"\n        },\n        listDiscussionsInOrg: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions\"\n        },\n        listDiscussionsLegacy: {\n            deprecated: \"octokit.teams.listDiscussionsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy\",\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions\"\n        },\n        listForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/teams\"\n        },\n        listMembers: {\n            deprecated: \"octokit.teams.listMembers() has been renamed to octokit.teams.listMembersLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                role: { enum: [\"member\", \"maintainer\", \"all\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/members\"\n        },\n        listMembersInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                role: { enum: [\"member\", \"maintainer\", \"all\"], type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/members\"\n        },\n        listMembersLegacy: {\n            deprecated: \"octokit.teams.listMembersLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-team-members-legacy\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                role: { enum: [\"member\", \"maintainer\", \"all\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/members\"\n        },\n        listPendingInvitations: {\n            deprecated: \"octokit.teams.listPendingInvitations() has been renamed to octokit.teams.listPendingInvitationsLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/invitations\"\n        },\n        listPendingInvitationsInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/invitations\"\n        },\n        listPendingInvitationsLegacy: {\n            deprecated: \"octokit.teams.listPendingInvitationsLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/invitations\"\n        },\n        listProjects: {\n            deprecated: \"octokit.teams.listProjects() has been renamed to octokit.teams.listProjectsLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects\"\n        },\n        listProjectsInOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/projects\"\n        },\n        listProjectsLegacy: {\n            deprecated: \"octokit.teams.listProjectsLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects\"\n        },\n        listRepos: {\n            deprecated: \"octokit.teams.listRepos() has been renamed to octokit.teams.listReposLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos\"\n        },\n        listReposInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/repos\"\n        },\n        listReposLegacy: {\n            deprecated: \"octokit.teams.listReposLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos\"\n        },\n        removeMember: {\n            deprecated: \"octokit.teams.removeMember() has been renamed to octokit.teams.removeMemberLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        removeMemberLegacy: {\n            deprecated: \"octokit.teams.removeMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy\",\n            method: \"DELETE\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        removeMembership: {\n            deprecated: \"octokit.teams.removeMembership() has been renamed to octokit.teams.removeMembershipLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        removeMembershipInOrg: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/memberships/:username\"\n        },\n        removeMembershipLegacy: {\n            deprecated: \"octokit.teams.removeMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy\",\n            method: \"DELETE\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        removeProject: {\n            deprecated: \"octokit.teams.removeProject() has been renamed to octokit.teams.removeProjectLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        removeProjectInOrg: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/projects/:project_id\"\n        },\n        removeProjectLegacy: {\n            deprecated: \"octokit.teams.removeProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy\",\n            method: \"DELETE\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        removeRepo: {\n            deprecated: \"octokit.teams.removeRepo() has been renamed to octokit.teams.removeRepoLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        removeRepoInOrg: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/repos/:owner/:repo\"\n        },\n        removeRepoLegacy: {\n            deprecated: \"octokit.teams.removeRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy\",\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        reviewProject: {\n            deprecated: \"octokit.teams.reviewProject() has been renamed to octokit.teams.reviewProjectLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        reviewProjectInOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/projects/:project_id\"\n        },\n        reviewProjectLegacy: {\n            deprecated: \"octokit.teams.reviewProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        update: {\n            deprecated: \"octokit.teams.update() has been renamed to octokit.teams.updateLegacy() (2020-01-16)\",\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                parent_team_id: { type: \"integer\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                privacy: { enum: [\"secret\", \"closed\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id\"\n        },\n        updateDiscussion: {\n            deprecated: \"octokit.teams.updateDiscussion() has been renamed to octokit.teams.updateDiscussionLegacy() (2020-01-16)\",\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" },\n                title: { type: \"string\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        updateDiscussionComment: {\n            deprecated: \"octokit.teams.updateDiscussionComment() has been renamed to octokit.teams.updateDiscussionCommentLegacy() (2020-01-16)\",\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        updateDiscussionCommentInOrg: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number\"\n        },\n        updateDiscussionCommentLegacy: {\n            deprecated: \"octokit.teams.updateDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy\",\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        updateDiscussionInOrg: {\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number\"\n        },\n        updateDiscussionLegacy: {\n            deprecated: \"octokit.teams.updateDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy\",\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" },\n                title: { type: \"string\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        updateInOrg: {\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" },\n                parent_team_id: { type: \"integer\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                privacy: { enum: [\"secret\", \"closed\"], type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug\"\n        },\n        updateLegacy: {\n            deprecated: \"octokit.teams.updateLegacy() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy\",\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                parent_team_id: { type: \"integer\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                privacy: { enum: [\"secret\", \"closed\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id\"\n        }\n    },\n    users: {\n        addEmails: {\n            method: \"POST\",\n            params: { emails: { required: true, type: \"string[]\" } },\n            url: \"/user/emails\"\n        },\n        block: {\n            method: \"PUT\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/blocks/:username\"\n        },\n        checkBlocked: {\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/blocks/:username\"\n        },\n        checkFollowing: {\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/following/:username\"\n        },\n        checkFollowingForUser: {\n            method: \"GET\",\n            params: {\n                target_user: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/following/:target_user\"\n        },\n        createGpgKey: {\n            method: \"POST\",\n            params: { armored_public_key: { type: \"string\" } },\n            url: \"/user/gpg_keys\"\n        },\n        createPublicKey: {\n            method: \"POST\",\n            params: { key: { type: \"string\" }, title: { type: \"string\" } },\n            url: \"/user/keys\"\n        },\n        deleteEmails: {\n            method: \"DELETE\",\n            params: { emails: { required: true, type: \"string[]\" } },\n            url: \"/user/emails\"\n        },\n        deleteGpgKey: {\n            method: \"DELETE\",\n            params: { gpg_key_id: { required: true, type: \"integer\" } },\n            url: \"/user/gpg_keys/:gpg_key_id\"\n        },\n        deletePublicKey: {\n            method: \"DELETE\",\n            params: { key_id: { required: true, type: \"integer\" } },\n            url: \"/user/keys/:key_id\"\n        },\n        follow: {\n            method: \"PUT\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/following/:username\"\n        },\n        getAuthenticated: { method: \"GET\", params: {}, url: \"/user\" },\n        getByUsername: {\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/users/:username\"\n        },\n        getContextForUser: {\n            method: \"GET\",\n            params: {\n                subject_id: { type: \"string\" },\n                subject_type: {\n                    enum: [\"organization\", \"repository\", \"issue\", \"pull_request\"],\n                    type: \"string\"\n                },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/hovercard\"\n        },\n        getGpgKey: {\n            method: \"GET\",\n            params: { gpg_key_id: { required: true, type: \"integer\" } },\n            url: \"/user/gpg_keys/:gpg_key_id\"\n        },\n        getPublicKey: {\n            method: \"GET\",\n            params: { key_id: { required: true, type: \"integer\" } },\n            url: \"/user/keys/:key_id\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/users\"\n        },\n        listBlocked: { method: \"GET\", params: {}, url: \"/user/blocks\" },\n        listEmails: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/emails\"\n        },\n        listFollowersForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/followers\"\n        },\n        listFollowersForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/followers\"\n        },\n        listFollowingForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/following\"\n        },\n        listFollowingForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/following\"\n        },\n        listGpgKeys: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/gpg_keys\"\n        },\n        listGpgKeysForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/gpg_keys\"\n        },\n        listPublicEmails: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/public_emails\"\n        },\n        listPublicKeys: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/keys\"\n        },\n        listPublicKeysForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/keys\"\n        },\n        togglePrimaryEmailVisibility: {\n            method: \"PATCH\",\n            params: {\n                email: { required: true, type: \"string\" },\n                visibility: { required: true, type: \"string\" }\n            },\n            url: \"/user/email/visibility\"\n        },\n        unblock: {\n            method: \"DELETE\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/blocks/:username\"\n        },\n        unfollow: {\n            method: \"DELETE\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/following/:username\"\n        },\n        updateAuthenticated: {\n            method: \"PATCH\",\n            params: {\n                bio: { type: \"string\" },\n                blog: { type: \"string\" },\n                company: { type: \"string\" },\n                email: { type: \"string\" },\n                hireable: { type: \"boolean\" },\n                location: { type: \"string\" },\n                name: { type: \"string\" }\n            },\n            url: \"/user\"\n        }\n    }\n};\n","export const VERSION = \"2.4.0\";\n","import { Deprecation } from \"deprecation\";\nexport function registerEndpoints(octokit, routes) {\n    Object.keys(routes).forEach(namespaceName => {\n        if (!octokit[namespaceName]) {\n            octokit[namespaceName] = {};\n        }\n        Object.keys(routes[namespaceName]).forEach(apiName => {\n            const apiOptions = routes[namespaceName][apiName];\n            const endpointDefaults = [\"method\", \"url\", \"headers\"].reduce((map, key) => {\n                if (typeof apiOptions[key] !== \"undefined\") {\n                    map[key] = apiOptions[key];\n                }\n                return map;\n            }, {});\n            endpointDefaults.request = {\n                validate: apiOptions.params\n            };\n            let request = octokit.request.defaults(endpointDefaults);\n            // patch request & endpoint methods to support deprecated parameters.\n            // Not the most elegant solution, but we don’t want to move deprecation\n            // logic into octokit/endpoint.js as it’s out of scope\n            const hasDeprecatedParam = Object.keys(apiOptions.params || {}).find(key => apiOptions.params[key].deprecated);\n            if (hasDeprecatedParam) {\n                const patch = patchForDeprecation.bind(null, octokit, apiOptions);\n                request = patch(octokit.request.defaults(endpointDefaults), `.${namespaceName}.${apiName}()`);\n                request.endpoint = patch(request.endpoint, `.${namespaceName}.${apiName}.endpoint()`);\n                request.endpoint.merge = patch(request.endpoint.merge, `.${namespaceName}.${apiName}.endpoint.merge()`);\n            }\n            if (apiOptions.deprecated) {\n                octokit[namespaceName][apiName] = Object.assign(function deprecatedEndpointMethod() {\n                    octokit.log.warn(new Deprecation(`[@octokit/rest] ${apiOptions.deprecated}`));\n                    octokit[namespaceName][apiName] = request;\n                    return request.apply(null, arguments);\n                }, request);\n                return;\n            }\n            octokit[namespaceName][apiName] = request;\n        });\n    });\n}\nfunction patchForDeprecation(octokit, apiOptions, method, methodName) {\n    const patchedMethod = (options) => {\n        options = Object.assign({}, options);\n        Object.keys(options).forEach(key => {\n            if (apiOptions.params[key] && apiOptions.params[key].deprecated) {\n                const aliasKey = apiOptions.params[key].alias;\n                octokit.log.warn(new Deprecation(`[@octokit/rest] \"${key}\" parameter is deprecated for \"${methodName}\". Use \"${aliasKey}\" instead`));\n                if (!(aliasKey in options)) {\n                    options[aliasKey] = options[key];\n                }\n                delete options[key];\n            }\n        });\n        return method(options);\n    };\n    Object.keys(method).forEach(key => {\n        patchedMethod[key] = method[key];\n    });\n    return patchedMethod;\n}\n","import { Deprecation } from \"deprecation\";\nimport endpointsByScope from \"./generated/endpoints\";\nimport { VERSION } from \"./version\";\nimport { registerEndpoints } from \"./register-endpoints\";\n/**\n * This plugin is a 1:1 copy of internal @octokit/rest plugins. The primary\n * goal is to rebuild @octokit/rest on top of @octokit/core. Once that is\n * done, we will remove the registerEndpoints methods and return the methods\n * directly as with the other plugins. 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\ No newline at end of file
+{"version":3,"file":"index.js","sources":["../dist-src/generated/endpoints.js","../dist-src/version.js","../dist-src/endpoints-to-methods.js","../dist-src/index.js"],"sourcesContent":["const Endpoints = {\n    actions: {\n        addSelectedRepoToOrgSecret: [\n            \"PUT /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}\",\n        ],\n        cancelWorkflowRun: [\n            \"POST /repos/{owner}/{repo}/actions/runs/{run_id}/cancel\",\n        ],\n        createOrUpdateOrgSecret: [\"PUT /orgs/{org}/actions/secrets/{secret_name}\"],\n        createOrUpdateRepoSecret: [\n            \"PUT /repos/{owner}/{repo}/actions/secrets/{secret_name}\",\n        ],\n        createRegistrationTokenForOrg: [\n            \"POST /orgs/{org}/actions/runners/registration-token\",\n        ],\n        createRegistrationTokenForRepo: [\n            \"POST /repos/{owner}/{repo}/actions/runners/registration-token\",\n        ],\n        createRemoveTokenForOrg: [\"POST /orgs/{org}/actions/runners/remove-token\"],\n        createRemoveTokenForRepo: [\n            \"POST /repos/{owner}/{repo}/actions/runners/remove-token\",\n        ],\n        createWorkflowDispatch: [\n            \"POST /repos/{owner}/{repo}/actions/workflows/{workflow_id}/dispatches\",\n        ],\n        deleteArtifact: [\n            \"DELETE /repos/{owner}/{repo}/actions/artifacts/{artifact_id}\",\n        ],\n        deleteOrgSecret: [\"DELETE /orgs/{org}/actions/secrets/{secret_name}\"],\n        deleteRepoSecret: [\n            \"DELETE /repos/{owner}/{repo}/actions/secrets/{secret_name}\",\n        ],\n        deleteSelfHostedRunnerFromOrg: [\n            \"DELETE /orgs/{org}/actions/runners/{runner_id}\",\n        ],\n        deleteSelfHostedRunnerFromRepo: [\n            \"DELETE /repos/{owner}/{repo}/actions/runners/{runner_id}\",\n        ],\n        deleteWorkflowRun: [\"DELETE /repos/{owner}/{repo}/actions/runs/{run_id}\"],\n        deleteWorkflowRunLogs: [\n            \"DELETE /repos/{owner}/{repo}/actions/runs/{run_id}/logs\",\n        ],\n        downloadArtifact: [\n            \"GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}/{archive_format}\",\n        ],\n        downloadJobLogsForWorkflowRun: [\n            \"GET /repos/{owner}/{repo}/actions/jobs/{job_id}/logs\",\n        ],\n        downloadWorkflowRunLogs: [\n            \"GET /repos/{owner}/{repo}/actions/runs/{run_id}/logs\",\n        ],\n        getArtifact: [\"GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}\"],\n        getJobForWorkflowRun: [\"GET /repos/{owner}/{repo}/actions/jobs/{job_id}\"],\n        getOrgPublicKey: [\"GET /orgs/{org}/actions/secrets/public-key\"],\n        getOrgSecret: [\"GET /orgs/{org}/actions/secrets/{secret_name}\"],\n        getRepoPublicKey: [\"GET /repos/{owner}/{repo}/actions/secrets/public-key\"],\n        getRepoSecret: [\"GET /repos/{owner}/{repo}/actions/secrets/{secret_name}\"],\n        getSelfHostedRunnerForOrg: [\"GET /orgs/{org}/actions/runners/{runner_id}\"],\n        getSelfHostedRunnerForRepo: [\n            \"GET /repos/{owner}/{repo}/actions/runners/{runner_id}\",\n        ],\n        getWorkflow: [\"GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}\"],\n        getWorkflowRun: [\"GET /repos/{owner}/{repo}/actions/runs/{run_id}\"],\n        getWorkflowRunUsage: [\n            \"GET /repos/{owner}/{repo}/actions/runs/{run_id}/timing\",\n        ],\n        getWorkflowUsage: [\n            \"GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/timing\",\n        ],\n        listArtifactsForRepo: [\"GET /repos/{owner}/{repo}/actions/artifacts\"],\n        listJobsForWorkflowRun: [\n            \"GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs\",\n        ],\n        listOrgSecrets: [\"GET /orgs/{org}/actions/secrets\"],\n        listRepoSecrets: [\"GET /repos/{owner}/{repo}/actions/secrets\"],\n        listRepoWorkflows: [\"GET /repos/{owner}/{repo}/actions/workflows\"],\n        listRunnerApplicationsForOrg: [\"GET /orgs/{org}/actions/runners/downloads\"],\n        listRunnerApplicationsForRepo: [\n            \"GET /repos/{owner}/{repo}/actions/runners/downloads\",\n        ],\n        listSelectedReposForOrgSecret: [\n            \"GET /orgs/{org}/actions/secrets/{secret_name}/repositories\",\n        ],\n        listSelfHostedRunnersForOrg: [\"GET /orgs/{org}/actions/runners\"],\n        listSelfHostedRunnersForRepo: [\"GET /repos/{owner}/{repo}/actions/runners\"],\n        listWorkflowRunArtifacts: [\n            \"GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts\",\n        ],\n        listWorkflowRuns: [\n            \"GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs\",\n        ],\n        listWorkflowRunsForRepo: [\"GET /repos/{owner}/{repo}/actions/runs\"],\n        reRunWorkflow: [\"POST /repos/{owner}/{repo}/actions/runs/{run_id}/rerun\"],\n        removeSelectedRepoFromOrgSecret: [\n            \"DELETE /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}\",\n        ],\n        setSelectedReposForOrgSecret: [\n            \"PUT /orgs/{org}/actions/secrets/{secret_name}/repositories\",\n        ],\n    },\n    activity: {\n        checkRepoIsStarredByAuthenticatedUser: [\"GET /user/starred/{owner}/{repo}\"],\n        deleteRepoSubscription: [\"DELETE /repos/{owner}/{repo}/subscription\"],\n        deleteThreadSubscription: [\n            \"DELETE /notifications/threads/{thread_id}/subscription\",\n        ],\n        getFeeds: [\"GET /feeds\"],\n        getRepoSubscription: [\"GET /repos/{owner}/{repo}/subscription\"],\n        getThread: [\"GET /notifications/threads/{thread_id}\"],\n        getThreadSubscriptionForAuthenticatedUser: [\n            \"GET /notifications/threads/{thread_id}/subscription\",\n        ],\n        listEventsForAuthenticatedUser: [\"GET /users/{username}/events\"],\n        listNotificationsForAuthenticatedUser: [\"GET /notifications\"],\n        listOrgEventsForAuthenticatedUser: [\n            \"GET /users/{username}/events/orgs/{org}\",\n        ],\n        listPublicEvents: [\"GET /events\"],\n        listPublicEventsForRepoNetwork: [\"GET /networks/{owner}/{repo}/events\"],\n        listPublicEventsForUser: [\"GET /users/{username}/events/public\"],\n        listPublicOrgEvents: [\"GET /orgs/{org}/events\"],\n        listReceivedEventsForUser: [\"GET /users/{username}/received_events\"],\n        listReceivedPublicEventsForUser: [\n            \"GET /users/{username}/received_events/public\",\n        ],\n        listRepoEvents: [\"GET /repos/{owner}/{repo}/events\"],\n        listRepoNotificationsForAuthenticatedUser: [\n            \"GET /repos/{owner}/{repo}/notifications\",\n        ],\n        listReposStarredByAuthenticatedUser: [\"GET /user/starred\"],\n        listReposStarredByUser: [\"GET /users/{username}/starred\"],\n        listReposWatchedByUser: [\"GET /users/{username}/subscriptions\"],\n        listStargazersForRepo: [\"GET /repos/{owner}/{repo}/stargazers\"],\n        listWatchedReposForAuthenticatedUser: [\"GET /user/subscriptions\"],\n        listWatchersForRepo: [\"GET /repos/{owner}/{repo}/subscribers\"],\n        markNotificationsAsRead: [\"PUT /notifications\"],\n        markRepoNotificationsAsRead: [\"PUT /repos/{owner}/{repo}/notifications\"],\n        markThreadAsRead: [\"PATCH /notifications/threads/{thread_id}\"],\n        setRepoSubscription: [\"PUT /repos/{owner}/{repo}/subscription\"],\n        setThreadSubscription: [\n            \"PUT /notifications/threads/{thread_id}/subscription\",\n        ],\n        starRepoForAuthenticatedUser: [\"PUT /user/starred/{owner}/{repo}\"],\n        unstarRepoForAuthenticatedUser: [\"DELETE /user/starred/{owner}/{repo}\"],\n    },\n    apps: {\n        addRepoToInstallation: [\n            \"PUT /user/installations/{installation_id}/repositories/{repository_id}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        checkToken: [\"POST /applications/{client_id}/token\"],\n        createContentAttachment: [\n            \"POST /content_references/{content_reference_id}/attachments\",\n            { mediaType: { previews: [\"corsair\"] } },\n        ],\n        createFromManifest: [\"POST /app-manifests/{code}/conversions\"],\n        createInstallationAccessToken: [\n            \"POST /app/installations/{installation_id}/access_tokens\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        deleteAuthorization: [\"DELETE /applications/{client_id}/grant\"],\n        deleteInstallation: [\n            \"DELETE /app/installations/{installation_id}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        deleteToken: [\"DELETE /applications/{client_id}/token\"],\n        getAuthenticated: [\n            \"GET /app\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getBySlug: [\n            \"GET /apps/{app_slug}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getInstallation: [\n            \"GET /app/installations/{installation_id}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getOrgInstallation: [\n            \"GET /orgs/{org}/installation\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getRepoInstallation: [\n            \"GET /repos/{owner}/{repo}/installation\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getSubscriptionPlanForAccount: [\n            \"GET /marketplace_listing/accounts/{account_id}\",\n        ],\n        getSubscriptionPlanForAccountStubbed: [\n            \"GET /marketplace_listing/stubbed/accounts/{account_id}\",\n        ],\n        getUserInstallation: [\n            \"GET /users/{username}/installation\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listAccountsForPlan: [\"GET /marketplace_listing/plans/{plan_id}/accounts\"],\n        listAccountsForPlanStubbed: [\n            \"GET /marketplace_listing/stubbed/plans/{plan_id}/accounts\",\n        ],\n        listInstallationReposForAuthenticatedUser: [\n            \"GET /user/installations/{installation_id}/repositories\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listInstallations: [\n            \"GET /app/installations\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listInstallationsForAuthenticatedUser: [\n            \"GET /user/installations\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listPlans: [\"GET /marketplace_listing/plans\"],\n        listPlansStubbed: [\"GET /marketplace_listing/stubbed/plans\"],\n        listReposAccessibleToInstallation: [\n            \"GET /installation/repositories\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listSubscriptionsForAuthenticatedUser: [\"GET /user/marketplace_purchases\"],\n        listSubscriptionsForAuthenticatedUserStubbed: [\n            \"GET /user/marketplace_purchases/stubbed\",\n        ],\n        removeRepoFromInstallation: [\n            \"DELETE /user/installations/{installation_id}/repositories/{repository_id}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        resetToken: [\"PATCH /applications/{client_id}/token\"],\n        revokeInstallationAccessToken: [\"DELETE /installation/token\"],\n        suspendInstallation: [\"PUT /app/installations/{installation_id}/suspended\"],\n        unsuspendInstallation: [\n            \"DELETE /app/installations/{installation_id}/suspended\",\n        ],\n    },\n    billing: {\n        getGithubActionsBillingOrg: [\"GET /orgs/{org}/settings/billing/actions\"],\n        getGithubActionsBillingUser: [\n            \"GET /users/{username}/settings/billing/actions\",\n        ],\n        getGithubPackagesBillingOrg: [\"GET /orgs/{org}/settings/billing/packages\"],\n        getGithubPackagesBillingUser: [\n            \"GET /users/{username}/settings/billing/packages\",\n        ],\n        getSharedStorageBillingOrg: [\n            \"GET /orgs/{org}/settings/billing/shared-storage\",\n        ],\n        getSharedStorageBillingUser: [\n            \"GET /users/{username}/settings/billing/shared-storage\",\n        ],\n    },\n    checks: {\n        create: [\n            \"POST /repos/{owner}/{repo}/check-runs\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        createSuite: [\n            \"POST /repos/{owner}/{repo}/check-suites\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        get: [\n            \"GET /repos/{owner}/{repo}/check-runs/{check_run_id}\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        getSuite: [\n            \"GET /repos/{owner}/{repo}/check-suites/{check_suite_id}\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        listAnnotations: [\n            \"GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        listForRef: [\n            \"GET /repos/{owner}/{repo}/commits/{ref}/check-runs\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        listForSuite: [\n            \"GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        listSuitesForRef: [\n            \"GET /repos/{owner}/{repo}/commits/{ref}/check-suites\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        rerequestSuite: [\n            \"POST /repos/{owner}/{repo}/check-suites/{check_suite_id}/rerequest\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        setSuitesPreferences: [\n            \"PATCH /repos/{owner}/{repo}/check-suites/preferences\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        update: [\n            \"PATCH /repos/{owner}/{repo}/check-runs/{check_run_id}\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n    },\n    codeScanning: {\n        getAlert: [\"GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_id}\"],\n        listAlertsForRepo: [\"GET /repos/{owner}/{repo}/code-scanning/alerts\"],\n    },\n    codesOfConduct: {\n        getAllCodesOfConduct: [\n            \"GET /codes_of_conduct\",\n            { mediaType: { previews: [\"scarlet-witch\"] } },\n        ],\n        getConductCode: [\n            \"GET /codes_of_conduct/{key}\",\n            { mediaType: { previews: [\"scarlet-witch\"] } },\n        ],\n        getForRepo: [\n            \"GET /repos/{owner}/{repo}/community/code_of_conduct\",\n            { mediaType: { previews: [\"scarlet-witch\"] } },\n        ],\n    },\n    emojis: { get: [\"GET /emojis\"] },\n    gists: {\n        checkIsStarred: [\"GET /gists/{gist_id}/star\"],\n        create: [\"POST /gists\"],\n        createComment: [\"POST /gists/{gist_id}/comments\"],\n        delete: [\"DELETE /gists/{gist_id}\"],\n        deleteComment: [\"DELETE /gists/{gist_id}/comments/{comment_id}\"],\n        fork: [\"POST /gists/{gist_id}/forks\"],\n        get: [\"GET /gists/{gist_id}\"],\n        getComment: [\"GET /gists/{gist_id}/comments/{comment_id}\"],\n        getRevision: [\"GET /gists/{gist_id}/{sha}\"],\n        list: [\"GET /gists\"],\n        listComments: [\"GET /gists/{gist_id}/comments\"],\n        listCommits: [\"GET /gists/{gist_id}/commits\"],\n        listForUser: [\"GET /users/{username}/gists\"],\n        listForks: [\"GET /gists/{gist_id}/forks\"],\n        listPublic: [\"GET /gists/public\"],\n        listStarred: [\"GET /gists/starred\"],\n        star: [\"PUT /gists/{gist_id}/star\"],\n        unstar: [\"DELETE /gists/{gist_id}/star\"],\n        update: [\"PATCH /gists/{gist_id}\"],\n        updateComment: [\"PATCH /gists/{gist_id}/comments/{comment_id}\"],\n    },\n    git: {\n        createBlob: [\"POST /repos/{owner}/{repo}/git/blobs\"],\n        createCommit: [\"POST /repos/{owner}/{repo}/git/commits\"],\n        createRef: [\"POST /repos/{owner}/{repo}/git/refs\"],\n        createTag: [\"POST /repos/{owner}/{repo}/git/tags\"],\n        createTree: [\"POST /repos/{owner}/{repo}/git/trees\"],\n        deleteRef: [\"DELETE /repos/{owner}/{repo}/git/refs/{ref}\"],\n        getBlob: [\"GET /repos/{owner}/{repo}/git/blobs/{file_sha}\"],\n        getCommit: [\"GET /repos/{owner}/{repo}/git/commits/{commit_sha}\"],\n        getRef: [\"GET /repos/{owner}/{repo}/git/ref/{ref}\"],\n        getTag: [\"GET /repos/{owner}/{repo}/git/tags/{tag_sha}\"],\n        getTree: [\"GET /repos/{owner}/{repo}/git/trees/{tree_sha}\"],\n        listMatchingRefs: [\"GET /repos/{owner}/{repo}/git/matching-refs/{ref}\"],\n        updateRef: [\"PATCH /repos/{owner}/{repo}/git/refs/{ref}\"],\n    },\n    gitignore: {\n        getAllTemplates: [\"GET /gitignore/templates\"],\n        getTemplate: [\"GET /gitignore/templates/{name}\"],\n    },\n    interactions: {\n        getRestrictionsForOrg: [\n            \"GET /orgs/{org}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        getRestrictionsForRepo: [\n            \"GET /repos/{owner}/{repo}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        removeRestrictionsForOrg: [\n            \"DELETE /orgs/{org}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        removeRestrictionsForRepo: [\n            \"DELETE /repos/{owner}/{repo}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        setRestrictionsForOrg: [\n            \"PUT /orgs/{org}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        setRestrictionsForRepo: [\n            \"PUT /repos/{owner}/{repo}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n    },\n    issues: {\n        addAssignees: [\n            \"POST /repos/{owner}/{repo}/issues/{issue_number}/assignees\",\n        ],\n        addLabels: [\"POST /repos/{owner}/{repo}/issues/{issue_number}/labels\"],\n        checkUserCanBeAssigned: [\"GET /repos/{owner}/{repo}/assignees/{assignee}\"],\n        create: [\"POST /repos/{owner}/{repo}/issues\"],\n        createComment: [\n            \"POST /repos/{owner}/{repo}/issues/{issue_number}/comments\",\n        ],\n        createLabel: [\"POST /repos/{owner}/{repo}/labels\"],\n        createMilestone: [\"POST /repos/{owner}/{repo}/milestones\"],\n        deleteComment: [\n            \"DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}\",\n        ],\n        deleteLabel: [\"DELETE /repos/{owner}/{repo}/labels/{name}\"],\n        deleteMilestone: [\n            \"DELETE /repos/{owner}/{repo}/milestones/{milestone_number}\",\n        ],\n        get: [\"GET /repos/{owner}/{repo}/issues/{issue_number}\"],\n        getComment: [\"GET /repos/{owner}/{repo}/issues/comments/{comment_id}\"],\n        getEvent: [\"GET /repos/{owner}/{repo}/issues/events/{event_id}\"],\n        getLabel: [\"GET /repos/{owner}/{repo}/labels/{name}\"],\n        getMilestone: [\"GET /repos/{owner}/{repo}/milestones/{milestone_number}\"],\n        list: [\"GET /issues\"],\n        listAssignees: [\"GET /repos/{owner}/{repo}/assignees\"],\n        listComments: [\"GET /repos/{owner}/{repo}/issues/{issue_number}/comments\"],\n        listCommentsForRepo: [\"GET /repos/{owner}/{repo}/issues/comments\"],\n        listEvents: [\"GET /repos/{owner}/{repo}/issues/{issue_number}/events\"],\n        listEventsForRepo: [\"GET /repos/{owner}/{repo}/issues/events\"],\n        listEventsForTimeline: [\n            \"GET /repos/{owner}/{repo}/issues/{issue_number}/timeline\",\n            { mediaType: { previews: [\"mockingbird\"] } },\n        ],\n        listForAuthenticatedUser: [\"GET /user/issues\"],\n        listForOrg: [\"GET /orgs/{org}/issues\"],\n        listForRepo: [\"GET /repos/{owner}/{repo}/issues\"],\n        listLabelsForMilestone: [\n            \"GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels\",\n        ],\n        listLabelsForRepo: [\"GET /repos/{owner}/{repo}/labels\"],\n        listLabelsOnIssue: [\n            \"GET /repos/{owner}/{repo}/issues/{issue_number}/labels\",\n        ],\n        listMilestones: [\"GET /repos/{owner}/{repo}/milestones\"],\n        lock: [\"PUT /repos/{owner}/{repo}/issues/{issue_number}/lock\"],\n        removeAllLabels: [\n            \"DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels\",\n        ],\n        removeAssignees: [\n            \"DELETE /repos/{owner}/{repo}/issues/{issue_number}/assignees\",\n        ],\n        removeLabel: [\n            \"DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels/{name}\",\n        ],\n        setLabels: [\"PUT /repos/{owner}/{repo}/issues/{issue_number}/labels\"],\n        unlock: [\"DELETE /repos/{owner}/{repo}/issues/{issue_number}/lock\"],\n        update: [\"PATCH /repos/{owner}/{repo}/issues/{issue_number}\"],\n        updateComment: [\"PATCH /repos/{owner}/{repo}/issues/comments/{comment_id}\"],\n        updateLabel: [\"PATCH /repos/{owner}/{repo}/labels/{name}\"],\n        updateMilestone: [\n            \"PATCH /repos/{owner}/{repo}/milestones/{milestone_number}\",\n        ],\n    },\n    licenses: {\n        get: [\"GET /licenses/{license}\"],\n        getAllCommonlyUsed: [\"GET /licenses\"],\n        getForRepo: [\"GET /repos/{owner}/{repo}/license\"],\n    },\n    markdown: {\n        render: [\"POST /markdown\"],\n        renderRaw: [\n            \"POST /markdown/raw\",\n            { headers: { \"content-type\": \"text/plain; charset=utf-8\" } },\n        ],\n    },\n    meta: { get: [\"GET /meta\"] },\n    migrations: {\n        cancelImport: [\"DELETE /repos/{owner}/{repo}/import\"],\n        deleteArchiveForAuthenticatedUser: [\n            \"DELETE /user/migrations/{migration_id}/archive\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        deleteArchiveForOrg: [\n            \"DELETE /orgs/{org}/migrations/{migration_id}/archive\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        downloadArchiveForOrg: [\n            \"GET /orgs/{org}/migrations/{migration_id}/archive\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        getArchiveForAuthenticatedUser: [\n            \"GET /user/migrations/{migration_id}/archive\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        getCommitAuthors: [\"GET /repos/{owner}/{repo}/import/authors\"],\n        getImportStatus: [\"GET /repos/{owner}/{repo}/import\"],\n        getLargeFiles: [\"GET /repos/{owner}/{repo}/import/large_files\"],\n        getStatusForAuthenticatedUser: [\n            \"GET /user/migrations/{migration_id}\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        getStatusForOrg: [\n            \"GET /orgs/{org}/migrations/{migration_id}\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        listForAuthenticatedUser: [\n            \"GET /user/migrations\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        listForOrg: [\n            \"GET /orgs/{org}/migrations\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        listReposForOrg: [\n            \"GET /orgs/{org}/migrations/{migration_id}/repositories\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        listReposForUser: [\n            \"GET /user/migrations/{migration_id}/repositories\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        mapCommitAuthor: [\"PATCH /repos/{owner}/{repo}/import/authors/{author_id}\"],\n        setLfsPreference: [\"PATCH /repos/{owner}/{repo}/import/lfs\"],\n        startForAuthenticatedUser: [\"POST /user/migrations\"],\n        startForOrg: [\"POST /orgs/{org}/migrations\"],\n        startImport: [\"PUT /repos/{owner}/{repo}/import\"],\n        unlockRepoForAuthenticatedUser: [\n            \"DELETE /user/migrations/{migration_id}/repos/{repo_name}/lock\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        unlockRepoForOrg: [\n            \"DELETE /orgs/{org}/migrations/{migration_id}/repos/{repo_name}/lock\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        updateImport: [\"PATCH /repos/{owner}/{repo}/import\"],\n    },\n    orgs: {\n        blockUser: [\"PUT /orgs/{org}/blocks/{username}\"],\n        checkBlockedUser: [\"GET /orgs/{org}/blocks/{username}\"],\n        checkMembershipForUser: [\"GET /orgs/{org}/members/{username}\"],\n        checkPublicMembershipForUser: [\"GET /orgs/{org}/public_members/{username}\"],\n        convertMemberToOutsideCollaborator: [\n            \"PUT /orgs/{org}/outside_collaborators/{username}\",\n        ],\n        createInvitation: [\"POST /orgs/{org}/invitations\"],\n        createWebhook: [\"POST /orgs/{org}/hooks\"],\n        deleteWebhook: [\"DELETE /orgs/{org}/hooks/{hook_id}\"],\n        get: [\"GET /orgs/{org}\"],\n        getMembershipForAuthenticatedUser: [\"GET /user/memberships/orgs/{org}\"],\n        getMembershipForUser: [\"GET /orgs/{org}/memberships/{username}\"],\n        getWebhook: [\"GET /orgs/{org}/hooks/{hook_id}\"],\n        list: [\"GET /organizations\"],\n        listAppInstallations: [\n            \"GET /orgs/{org}/installations\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listBlockedUsers: [\"GET /orgs/{org}/blocks\"],\n        listForAuthenticatedUser: [\"GET /user/orgs\"],\n        listForUser: [\"GET /users/{username}/orgs\"],\n        listInvitationTeams: [\"GET /orgs/{org}/invitations/{invitation_id}/teams\"],\n        listMembers: [\"GET /orgs/{org}/members\"],\n        listMembershipsForAuthenticatedUser: [\"GET /user/memberships/orgs\"],\n        listOutsideCollaborators: [\"GET /orgs/{org}/outside_collaborators\"],\n        listPendingInvitations: [\"GET /orgs/{org}/invitations\"],\n        listPublicMembers: [\"GET /orgs/{org}/public_members\"],\n        listWebhooks: [\"GET /orgs/{org}/hooks\"],\n        pingWebhook: [\"POST /orgs/{org}/hooks/{hook_id}/pings\"],\n        removeMember: [\"DELETE /orgs/{org}/members/{username}\"],\n        removeMembershipForUser: [\"DELETE /orgs/{org}/memberships/{username}\"],\n        removeOutsideCollaborator: [\n            \"DELETE /orgs/{org}/outside_collaborators/{username}\",\n        ],\n        removePublicMembershipForAuthenticatedUser: [\n            \"DELETE /orgs/{org}/public_members/{username}\",\n        ],\n        setMembershipForUser: [\"PUT /orgs/{org}/memberships/{username}\"],\n        setPublicMembershipForAuthenticatedUser: [\n            \"PUT /orgs/{org}/public_members/{username}\",\n        ],\n        unblockUser: [\"DELETE /orgs/{org}/blocks/{username}\"],\n        update: [\"PATCH /orgs/{org}\"],\n        updateMembershipForAuthenticatedUser: [\n            \"PATCH /user/memberships/orgs/{org}\",\n        ],\n        updateWebhook: [\"PATCH /orgs/{org}/hooks/{hook_id}\"],\n    },\n    projects: {\n        addCollaborator: [\n            \"PUT /projects/{project_id}/collaborators/{username}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createCard: [\n            \"POST /projects/columns/{column_id}/cards\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createColumn: [\n            \"POST /projects/{project_id}/columns\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createForAuthenticatedUser: [\n            \"POST /user/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createForOrg: [\n            \"POST /orgs/{org}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createForRepo: [\n            \"POST /repos/{owner}/{repo}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        delete: [\n            \"DELETE /projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        deleteCard: [\n            \"DELETE /projects/columns/cards/{card_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        deleteColumn: [\n            \"DELETE /projects/columns/{column_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        get: [\n            \"GET /projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        getCard: [\n            \"GET /projects/columns/cards/{card_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        getColumn: [\n            \"GET /projects/columns/{column_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        getPermissionForUser: [\n            \"GET /projects/{project_id}/collaborators/{username}/permission\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listCards: [\n            \"GET /projects/columns/{column_id}/cards\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listCollaborators: [\n            \"GET /projects/{project_id}/collaborators\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listColumns: [\n            \"GET /projects/{project_id}/columns\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listForOrg: [\n            \"GET /orgs/{org}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listForRepo: [\n            \"GET /repos/{owner}/{repo}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listForUser: [\n            \"GET /users/{username}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        moveCard: [\n            \"POST /projects/columns/cards/{card_id}/moves\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        moveColumn: [\n            \"POST /projects/columns/{column_id}/moves\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        removeCollaborator: [\n            \"DELETE /projects/{project_id}/collaborators/{username}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        update: [\n            \"PATCH /projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        updateCard: [\n            \"PATCH /projects/columns/cards/{card_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        updateColumn: [\n            \"PATCH /projects/columns/{column_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n    },\n    pulls: {\n        checkIfMerged: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}/merge\"],\n        create: [\"POST /repos/{owner}/{repo}/pulls\"],\n        createReplyForReviewComment: [\n            \"POST /repos/{owner}/{repo}/pulls/{pull_number}/comments/{comment_id}/replies\",\n        ],\n        createReview: [\"POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews\"],\n        createReviewComment: [\n            \"POST /repos/{owner}/{repo}/pulls/{pull_number}/comments\",\n        ],\n        deletePendingReview: [\n            \"DELETE /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}\",\n        ],\n        deleteReviewComment: [\n            \"DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}\",\n        ],\n        dismissReview: [\n            \"PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/dismissals\",\n        ],\n        get: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}\"],\n        getReview: [\n            \"GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}\",\n        ],\n        getReviewComment: [\"GET /repos/{owner}/{repo}/pulls/comments/{comment_id}\"],\n        list: [\"GET /repos/{owner}/{repo}/pulls\"],\n        listCommentsForReview: [\n            \"GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments\",\n        ],\n        listCommits: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}/commits\"],\n        listFiles: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}/files\"],\n        listRequestedReviewers: [\n            \"GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers\",\n        ],\n        listReviewComments: [\n            \"GET /repos/{owner}/{repo}/pulls/{pull_number}/comments\",\n        ],\n        listReviewCommentsForRepo: [\"GET /repos/{owner}/{repo}/pulls/comments\"],\n        listReviews: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews\"],\n        merge: [\"PUT /repos/{owner}/{repo}/pulls/{pull_number}/merge\"],\n        removeRequestedReviewers: [\n            \"DELETE /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers\",\n        ],\n        requestReviewers: [\n            \"POST /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers\",\n        ],\n        submitReview: [\n            \"POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/events\",\n        ],\n        update: [\"PATCH /repos/{owner}/{repo}/pulls/{pull_number}\"],\n        updateBranch: [\n            \"PUT /repos/{owner}/{repo}/pulls/{pull_number}/update-branch\",\n            { mediaType: { previews: [\"lydian\"] } },\n        ],\n        updateReview: [\n            \"PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}\",\n        ],\n        updateReviewComment: [\n            \"PATCH /repos/{owner}/{repo}/pulls/comments/{comment_id}\",\n        ],\n    },\n    rateLimit: { get: [\"GET /rate_limit\"] },\n    reactions: {\n        createForCommitComment: [\n            \"POST /repos/{owner}/{repo}/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForIssue: [\n            \"POST /repos/{owner}/{repo}/issues/{issue_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForIssueComment: [\n            \"POST /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForPullRequestReviewComment: [\n            \"POST /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForTeamDiscussionCommentInOrg: [\n            \"POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForTeamDiscussionInOrg: [\n            \"POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForCommitComment: [\n            \"DELETE /repos/{owner}/{repo}/comments/{comment_id}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForIssue: [\n            \"DELETE /repos/{owner}/{repo}/issues/{issue_number}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForIssueComment: [\n            \"DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForPullRequestComment: [\n            \"DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForTeamDiscussion: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForTeamDiscussionComment: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteLegacy: [\n            \"DELETE /reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n            {\n                deprecated: \"octokit.reactions.deleteLegacy() is deprecated, see https://developer.github.com/v3/reactions/#delete-a-reaction-legacy\",\n            },\n        ],\n        listForCommitComment: [\n            \"GET /repos/{owner}/{repo}/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForIssue: [\n            \"GET /repos/{owner}/{repo}/issues/{issue_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForIssueComment: [\n            \"GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForPullRequestReviewComment: [\n            \"GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForTeamDiscussionCommentInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForTeamDiscussionInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n    },\n    repos: {\n        acceptInvitation: [\"PATCH /user/repository_invitations/{invitation_id}\"],\n        addAppAccessRestrictions: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps\",\n            {},\n            { mapToData: \"apps\" },\n        ],\n        addCollaborator: [\"PUT /repos/{owner}/{repo}/collaborators/{username}\"],\n        addStatusCheckContexts: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts\",\n            {},\n            { mapToData: \"contexts\" },\n        ],\n        addTeamAccessRestrictions: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams\",\n            {},\n            { mapToData: \"teams\" },\n        ],\n        addUserAccessRestrictions: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users\",\n            {},\n            { mapToData: \"users\" },\n        ],\n        checkCollaborator: [\"GET /repos/{owner}/{repo}/collaborators/{username}\"],\n        checkVulnerabilityAlerts: [\n            \"GET /repos/{owner}/{repo}/vulnerability-alerts\",\n            { mediaType: { previews: [\"dorian\"] } },\n        ],\n        compareCommits: [\"GET /repos/{owner}/{repo}/compare/{base}...{head}\"],\n        createCommitComment: [\n            \"POST /repos/{owner}/{repo}/commits/{commit_sha}/comments\",\n        ],\n        createCommitSignatureProtection: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures\",\n            { mediaType: { previews: [\"zzzax\"] } },\n        ],\n        createCommitStatus: [\"POST /repos/{owner}/{repo}/statuses/{sha}\"],\n        createDeployKey: [\"POST /repos/{owner}/{repo}/keys\"],\n        createDeployment: [\"POST /repos/{owner}/{repo}/deployments\"],\n        createDeploymentStatus: [\n            \"POST /repos/{owner}/{repo}/deployments/{deployment_id}/statuses\",\n        ],\n        createDispatchEvent: [\"POST /repos/{owner}/{repo}/dispatches\"],\n        createForAuthenticatedUser: [\"POST /user/repos\"],\n        createFork: [\"POST /repos/{owner}/{repo}/forks\"],\n        createInOrg: [\"POST /orgs/{org}/repos\"],\n        createOrUpdateFileContents: [\"PUT /repos/{owner}/{repo}/contents/{path}\"],\n        createPagesSite: [\n            \"POST /repos/{owner}/{repo}/pages\",\n            { mediaType: { previews: [\"switcheroo\"] } },\n        ],\n        createRelease: [\"POST /repos/{owner}/{repo}/releases\"],\n        createUsingTemplate: [\n            \"POST /repos/{template_owner}/{template_repo}/generate\",\n            { mediaType: { previews: [\"baptiste\"] } },\n        ],\n        createWebhook: [\"POST /repos/{owner}/{repo}/hooks\"],\n        declineInvitation: [\"DELETE /user/repository_invitations/{invitation_id}\"],\n        delete: [\"DELETE /repos/{owner}/{repo}\"],\n        deleteAccessRestrictions: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions\",\n        ],\n        deleteAdminBranchProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins\",\n        ],\n        deleteBranchProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection\",\n        ],\n        deleteCommitComment: [\"DELETE /repos/{owner}/{repo}/comments/{comment_id}\"],\n        deleteCommitSignatureProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures\",\n            { mediaType: { previews: [\"zzzax\"] } },\n        ],\n        deleteDeployKey: [\"DELETE /repos/{owner}/{repo}/keys/{key_id}\"],\n        deleteDeployment: [\n            \"DELETE /repos/{owner}/{repo}/deployments/{deployment_id}\",\n        ],\n        deleteFile: [\"DELETE /repos/{owner}/{repo}/contents/{path}\"],\n        deleteInvitation: [\n            \"DELETE /repos/{owner}/{repo}/invitations/{invitation_id}\",\n        ],\n        deletePagesSite: [\n            \"DELETE /repos/{owner}/{repo}/pages\",\n            { mediaType: { previews: [\"switcheroo\"] } },\n        ],\n        deletePullRequestReviewProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews\",\n        ],\n        deleteRelease: [\"DELETE /repos/{owner}/{repo}/releases/{release_id}\"],\n        deleteReleaseAsset: [\n            \"DELETE /repos/{owner}/{repo}/releases/assets/{asset_id}\",\n        ],\n        deleteWebhook: [\"DELETE /repos/{owner}/{repo}/hooks/{hook_id}\"],\n        disableAutomatedSecurityFixes: [\n            \"DELETE /repos/{owner}/{repo}/automated-security-fixes\",\n            { mediaType: { previews: [\"london\"] } },\n        ],\n        disableVulnerabilityAlerts: [\n            \"DELETE /repos/{owner}/{repo}/vulnerability-alerts\",\n            { mediaType: { previews: [\"dorian\"] } },\n        ],\n        downloadArchive: [\"GET /repos/{owner}/{repo}/{archive_format}/{ref}\"],\n        enableAutomatedSecurityFixes: [\n            \"PUT /repos/{owner}/{repo}/automated-security-fixes\",\n            { mediaType: { previews: [\"london\"] } },\n        ],\n        enableVulnerabilityAlerts: [\n            \"PUT /repos/{owner}/{repo}/vulnerability-alerts\",\n            { mediaType: { previews: [\"dorian\"] } },\n        ],\n        get: [\"GET /repos/{owner}/{repo}\"],\n        getAccessRestrictions: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions\",\n        ],\n        getAdminBranchProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins\",\n        ],\n        getAllStatusCheckContexts: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts\",\n        ],\n        getAllTopics: [\n            \"GET /repos/{owner}/{repo}/topics\",\n            { mediaType: { previews: [\"mercy\"] } },\n        ],\n        getAppsWithAccessToProtectedBranch: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps\",\n        ],\n        getBranch: [\"GET /repos/{owner}/{repo}/branches/{branch}\"],\n        getBranchProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection\",\n        ],\n        getClones: [\"GET /repos/{owner}/{repo}/traffic/clones\"],\n        getCodeFrequencyStats: [\"GET /repos/{owner}/{repo}/stats/code_frequency\"],\n        getCollaboratorPermissionLevel: [\n            \"GET /repos/{owner}/{repo}/collaborators/{username}/permission\",\n        ],\n        getCombinedStatusForRef: [\"GET /repos/{owner}/{repo}/commits/{ref}/status\"],\n        getCommit: [\"GET /repos/{owner}/{repo}/commits/{ref}\"],\n        getCommitActivityStats: [\"GET /repos/{owner}/{repo}/stats/commit_activity\"],\n        getCommitComment: [\"GET /repos/{owner}/{repo}/comments/{comment_id}\"],\n        getCommitSignatureProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures\",\n            { mediaType: { previews: [\"zzzax\"] } },\n        ],\n        getCommunityProfileMetrics: [\n            \"GET /repos/{owner}/{repo}/community/profile\",\n            { mediaType: { previews: [\"black-panther\"] } },\n        ],\n        getContent: [\"GET /repos/{owner}/{repo}/contents/{path}\"],\n        getContributorsStats: [\"GET /repos/{owner}/{repo}/stats/contributors\"],\n        getDeployKey: [\"GET /repos/{owner}/{repo}/keys/{key_id}\"],\n        getDeployment: [\"GET /repos/{owner}/{repo}/deployments/{deployment_id}\"],\n        getDeploymentStatus: [\n            \"GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses/{status_id}\",\n        ],\n        getLatestPagesBuild: [\"GET /repos/{owner}/{repo}/pages/builds/latest\"],\n        getLatestRelease: [\"GET /repos/{owner}/{repo}/releases/latest\"],\n        getPages: [\"GET /repos/{owner}/{repo}/pages\"],\n        getPagesBuild: [\"GET /repos/{owner}/{repo}/pages/builds/{build_id}\"],\n        getParticipationStats: [\"GET /repos/{owner}/{repo}/stats/participation\"],\n        getPullRequestReviewProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews\",\n        ],\n        getPunchCardStats: [\"GET /repos/{owner}/{repo}/stats/punch_card\"],\n        getReadme: [\"GET /repos/{owner}/{repo}/readme\"],\n        getRelease: [\"GET /repos/{owner}/{repo}/releases/{release_id}\"],\n        getReleaseAsset: [\"GET /repos/{owner}/{repo}/releases/assets/{asset_id}\"],\n        getReleaseByTag: [\"GET /repos/{owner}/{repo}/releases/tags/{tag}\"],\n        getStatusChecksProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks\",\n        ],\n        getTeamsWithAccessToProtectedBranch: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams\",\n        ],\n        getTopPaths: [\"GET /repos/{owner}/{repo}/traffic/popular/paths\"],\n        getTopReferrers: [\"GET /repos/{owner}/{repo}/traffic/popular/referrers\"],\n        getUsersWithAccessToProtectedBranch: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users\",\n        ],\n        getViews: [\"GET /repos/{owner}/{repo}/traffic/views\"],\n        getWebhook: [\"GET /repos/{owner}/{repo}/hooks/{hook_id}\"],\n        listBranches: [\"GET /repos/{owner}/{repo}/branches\"],\n        listBranchesForHeadCommit: [\n            \"GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head\",\n            { mediaType: { previews: [\"groot\"] } },\n        ],\n        listCollaborators: [\"GET /repos/{owner}/{repo}/collaborators\"],\n        listCommentsForCommit: [\n            \"GET /repos/{owner}/{repo}/commits/{commit_sha}/comments\",\n        ],\n        listCommitCommentsForRepo: [\"GET /repos/{owner}/{repo}/comments\"],\n        listCommitStatusesForRef: [\n            \"GET /repos/{owner}/{repo}/commits/{ref}/statuses\",\n        ],\n        listCommits: [\"GET /repos/{owner}/{repo}/commits\"],\n        listContributors: [\"GET /repos/{owner}/{repo}/contributors\"],\n        listDeployKeys: [\"GET /repos/{owner}/{repo}/keys\"],\n        listDeploymentStatuses: [\n            \"GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses\",\n        ],\n        listDeployments: [\"GET /repos/{owner}/{repo}/deployments\"],\n        listForAuthenticatedUser: [\"GET /user/repos\"],\n        listForOrg: [\"GET /orgs/{org}/repos\"],\n        listForUser: [\"GET /users/{username}/repos\"],\n        listForks: [\"GET /repos/{owner}/{repo}/forks\"],\n        listInvitations: [\"GET /repos/{owner}/{repo}/invitations\"],\n        listInvitationsForAuthenticatedUser: [\"GET /user/repository_invitations\"],\n        listLanguages: [\"GET /repos/{owner}/{repo}/languages\"],\n        listPagesBuilds: [\"GET /repos/{owner}/{repo}/pages/builds\"],\n        listPublic: [\"GET /repositories\"],\n        listPullRequestsAssociatedWithCommit: [\n            \"GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls\",\n            { mediaType: { previews: [\"groot\"] } },\n        ],\n        listReleaseAssets: [\n            \"GET /repos/{owner}/{repo}/releases/{release_id}/assets\",\n        ],\n        listReleases: [\"GET /repos/{owner}/{repo}/releases\"],\n        listTags: [\"GET /repos/{owner}/{repo}/tags\"],\n        listTeams: [\"GET /repos/{owner}/{repo}/teams\"],\n        listWebhooks: [\"GET /repos/{owner}/{repo}/hooks\"],\n        merge: [\"POST /repos/{owner}/{repo}/merges\"],\n        pingWebhook: [\"POST /repos/{owner}/{repo}/hooks/{hook_id}/pings\"],\n        removeAppAccessRestrictions: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps\",\n            {},\n            { mapToData: \"apps\" },\n        ],\n        removeCollaborator: [\n            \"DELETE /repos/{owner}/{repo}/collaborators/{username}\",\n        ],\n        removeStatusCheckContexts: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts\",\n            {},\n            { mapToData: \"contexts\" },\n        ],\n        removeStatusCheckProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks\",\n        ],\n        removeTeamAccessRestrictions: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams\",\n            {},\n            { mapToData: \"teams\" },\n        ],\n        removeUserAccessRestrictions: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users\",\n            {},\n            { mapToData: \"users\" },\n        ],\n        replaceAllTopics: [\n            \"PUT /repos/{owner}/{repo}/topics\",\n            { mediaType: { previews: [\"mercy\"] } },\n        ],\n        requestPagesBuild: [\"POST /repos/{owner}/{repo}/pages/builds\"],\n        setAdminBranchProtection: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins\",\n        ],\n        setAppAccessRestrictions: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps\",\n            {},\n            { mapToData: \"apps\" },\n        ],\n        setStatusCheckContexts: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts\",\n            {},\n            { mapToData: \"contexts\" },\n        ],\n        setTeamAccessRestrictions: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams\",\n            {},\n            { mapToData: \"teams\" },\n        ],\n        setUserAccessRestrictions: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users\",\n            {},\n            { mapToData: \"users\" },\n        ],\n        testPushWebhook: [\"POST /repos/{owner}/{repo}/hooks/{hook_id}/tests\"],\n        transfer: [\"POST /repos/{owner}/{repo}/transfer\"],\n        update: [\"PATCH /repos/{owner}/{repo}\"],\n        updateBranchProtection: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection\",\n        ],\n        updateCommitComment: [\"PATCH /repos/{owner}/{repo}/comments/{comment_id}\"],\n        updateInformationAboutPagesSite: [\"PUT /repos/{owner}/{repo}/pages\"],\n        updateInvitation: [\n            \"PATCH /repos/{owner}/{repo}/invitations/{invitation_id}\",\n        ],\n        updatePullRequestReviewProtection: [\n            \"PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews\",\n        ],\n        updateRelease: [\"PATCH /repos/{owner}/{repo}/releases/{release_id}\"],\n        updateReleaseAsset: [\n            \"PATCH /repos/{owner}/{repo}/releases/assets/{asset_id}\",\n        ],\n        updateStatusCheckPotection: [\n            \"PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks\",\n        ],\n        updateWebhook: [\"PATCH /repos/{owner}/{repo}/hooks/{hook_id}\"],\n        uploadReleaseAsset: [\n            \"POST /repos/{owner}/{repo}/releases/{release_id}/assets{?name,label}\",\n            { baseUrl: \"https://uploads.github.com\" },\n        ],\n    },\n    search: {\n        code: [\"GET /search/code\"],\n        commits: [\"GET /search/commits\", { mediaType: { previews: [\"cloak\"] } }],\n        issuesAndPullRequests: [\"GET /search/issues\"],\n        labels: [\"GET /search/labels\"],\n        repos: [\"GET /search/repositories\"],\n        topics: [\"GET /search/topics\", { mediaType: { previews: [\"mercy\"] } }],\n        users: [\"GET /search/users\"],\n    },\n    teams: {\n        addOrUpdateMembershipForUserInOrg: [\n            \"PUT /orgs/{org}/teams/{team_slug}/memberships/{username}\",\n        ],\n        addOrUpdateProjectPermissionsInOrg: [\n            \"PUT /orgs/{org}/teams/{team_slug}/projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        addOrUpdateRepoPermissionsInOrg: [\n            \"PUT /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}\",\n        ],\n        checkPermissionsForProjectInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        checkPermissionsForRepoInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}\",\n        ],\n        create: [\"POST /orgs/{org}/teams\"],\n        createDiscussionCommentInOrg: [\n            \"POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments\",\n        ],\n        createDiscussionInOrg: [\"POST /orgs/{org}/teams/{team_slug}/discussions\"],\n        deleteDiscussionCommentInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}\",\n        ],\n        deleteDiscussionInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}\",\n        ],\n        deleteInOrg: [\"DELETE /orgs/{org}/teams/{team_slug}\"],\n        getByName: [\"GET /orgs/{org}/teams/{team_slug}\"],\n        getDiscussionCommentInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}\",\n        ],\n        getDiscussionInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}\",\n        ],\n        getMembershipForUserInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/memberships/{username}\",\n        ],\n        list: [\"GET /orgs/{org}/teams\"],\n        listChildInOrg: [\"GET /orgs/{org}/teams/{team_slug}/teams\"],\n        listDiscussionCommentsInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments\",\n        ],\n        listDiscussionsInOrg: [\"GET /orgs/{org}/teams/{team_slug}/discussions\"],\n        listForAuthenticatedUser: [\"GET /user/teams\"],\n        listMembersInOrg: [\"GET /orgs/{org}/teams/{team_slug}/members\"],\n        listPendingInvitationsInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/invitations\",\n        ],\n        listProjectsInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listReposInOrg: [\"GET /orgs/{org}/teams/{team_slug}/repos\"],\n        removeMembershipForUserInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/memberships/{username}\",\n        ],\n        removeProjectInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/projects/{project_id}\",\n        ],\n        removeRepoInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}\",\n        ],\n        updateDiscussionCommentInOrg: [\n            \"PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}\",\n        ],\n        updateDiscussionInOrg: [\n            \"PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}\",\n        ],\n        updateInOrg: [\"PATCH /orgs/{org}/teams/{team_slug}\"],\n    },\n    users: {\n        addEmailForAuthenticated: [\"POST /user/emails\"],\n        block: [\"PUT /user/blocks/{username}\"],\n        checkBlocked: [\"GET /user/blocks/{username}\"],\n        checkFollowingForUser: [\"GET /users/{username}/following/{target_user}\"],\n        checkPersonIsFollowedByAuthenticated: [\"GET /user/following/{username}\"],\n        createGpgKeyForAuthenticated: [\"POST /user/gpg_keys\"],\n        createPublicSshKeyForAuthenticated: [\"POST /user/keys\"],\n        deleteEmailForAuthenticated: [\"DELETE /user/emails\"],\n        deleteGpgKeyForAuthenticated: [\"DELETE /user/gpg_keys/{gpg_key_id}\"],\n        deletePublicSshKeyForAuthenticated: [\"DELETE /user/keys/{key_id}\"],\n        follow: [\"PUT /user/following/{username}\"],\n        getAuthenticated: [\"GET /user\"],\n        getByUsername: [\"GET /users/{username}\"],\n        getContextForUser: [\"GET /users/{username}/hovercard\"],\n        getGpgKeyForAuthenticated: [\"GET /user/gpg_keys/{gpg_key_id}\"],\n        getPublicSshKeyForAuthenticated: [\"GET /user/keys/{key_id}\"],\n        list: [\"GET /users\"],\n        listBlockedByAuthenticated: [\"GET /user/blocks\"],\n        listEmailsForAuthenticated: [\"GET /user/emails\"],\n        listFollowedByAuthenticated: [\"GET /user/following\"],\n        listFollowersForAuthenticatedUser: [\"GET /user/followers\"],\n        listFollowersForUser: [\"GET /users/{username}/followers\"],\n        listFollowingForUser: [\"GET /users/{username}/following\"],\n        listGpgKeysForAuthenticated: [\"GET /user/gpg_keys\"],\n        listGpgKeysForUser: [\"GET /users/{username}/gpg_keys\"],\n        listPublicEmailsForAuthenticated: [\"GET /user/public_emails\"],\n        listPublicKeysForUser: [\"GET /users/{username}/keys\"],\n        listPublicSshKeysForAuthenticated: [\"GET /user/keys\"],\n        setPrimaryEmailVisibilityForAuthenticated: [\"PATCH /user/email/visibility\"],\n        unblock: [\"DELETE /user/blocks/{username}\"],\n        unfollow: [\"DELETE /user/following/{username}\"],\n        updateAuthenticated: [\"PATCH /user\"],\n    },\n};\nexport default Endpoints;\n","export const VERSION = \"4.1.2\";\n","export function endpointsToMethods(octokit, endpointsMap) {\n    const newMethods = {};\n    for (const [scope, endpoints] of Object.entries(endpointsMap)) {\n        for (const [methodName, endpoint] of Object.entries(endpoints)) {\n            const [route, defaults, decorations] = endpoint;\n            const [method, url] = route.split(/ /);\n            const endpointDefaults = Object.assign({ method, url }, defaults);\n            if (!newMethods[scope]) {\n                newMethods[scope] = {};\n            }\n            const scopeMethods = newMethods[scope];\n            if (decorations) {\n                scopeMethods[methodName] = decorate(octokit, scope, methodName, endpointDefaults, decorations);\n                continue;\n            }\n            scopeMethods[methodName] = octokit.request.defaults(endpointDefaults);\n        }\n    }\n    return newMethods;\n}\nfunction decorate(octokit, scope, methodName, defaults, decorations) {\n    const requestWithDefaults = octokit.request.defaults(defaults);\n    /* istanbul ignore next */\n    function withDecorations(...args) {\n        // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488\n        let options = requestWithDefaults.endpoint.merge(...args);\n        // There are currently no other decorations than `.mapToData`\n        if (decorations.mapToData) {\n            options = Object.assign({}, options, {\n                data: options[decorations.mapToData],\n                [decorations.mapToData]: undefined,\n            });\n            return requestWithDefaults(options);\n        }\n        if (decorations.renamed) {\n            const [newScope, newMethodName] = decorations.renamed;\n            octokit.log.warn(`octokit.${scope}.${methodName}() has been renamed to octokit.${newScope}.${newMethodName}()`);\n        }\n        if (decorations.deprecated) {\n            octokit.log.warn(decorations.deprecated);\n        }\n        if (decorations.renamedParameters) {\n            // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488\n            const options = requestWithDefaults.endpoint.merge(...args);\n            for (const [name, alias] of Object.entries(decorations.renamedParameters)) {\n                if (name in options) {\n                    octokit.log.warn(`\"${name}\" parameter is deprecated for \"octokit.${scope}.${methodName}()\". Use \"${alias}\" instead`);\n                    if (!(alias in options)) {\n                        options[alias] = options[name];\n                    }\n                    delete options[name];\n                }\n            }\n            return requestWithDefaults(options);\n        }\n        // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488\n        return requestWithDefaults(...args);\n    }\n    return Object.assign(withDecorations, requestWithDefaults);\n}\n","import ENDPOINTS from \"./generated/endpoints\";\nimport { VERSION } from \"./version\";\nimport { endpointsToMethods } from \"./endpoints-to-methods\";\n/**\n * This plugin is a 1:1 copy of internal @octokit/rest plugins. The primary\n * goal is to rebuild @octokit/rest on top of @octokit/core. Once that is\n * done, we will remove the registerEndpoints methods and return the methods\n * directly as with the other plugins. At that point we will also remove the\n * legacy workarounds and deprecations.\n *\n * See the plan at\n * https://github.com/octokit/plugin-rest-endpoint-methods.js/pull/1\n */\nexport function restEndpointMethods(octokit) {\n    return endpointsToMethods(octokit, ENDPOINTS);\n}\nrestEndpointMethods.VERSION = 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\ No newline at end of file
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/endpoints-to-methods.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/endpoints-to-methods.js
new file mode 100644
index 000000000..32c2f39a3
--- /dev/null
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/endpoints-to-methods.js
@@ -0,0 +1,60 @@
+export function endpointsToMethods(octokit, endpointsMap) {
+    const newMethods = {};
+    for (const [scope, endpoints] of Object.entries(endpointsMap)) {
+        for (const [methodName, endpoint] of Object.entries(endpoints)) {
+            const [route, defaults, decorations] = endpoint;
+            const [method, url] = route.split(/ /);
+            const endpointDefaults = Object.assign({ method, url }, defaults);
+            if (!newMethods[scope]) {
+                newMethods[scope] = {};
+            }
+            const scopeMethods = newMethods[scope];
+            if (decorations) {
+                scopeMethods[methodName] = decorate(octokit, scope, methodName, endpointDefaults, decorations);
+                continue;
+            }
+            scopeMethods[methodName] = octokit.request.defaults(endpointDefaults);
+        }
+    }
+    return newMethods;
+}
+function decorate(octokit, scope, methodName, defaults, decorations) {
+    const requestWithDefaults = octokit.request.defaults(defaults);
+    /* istanbul ignore next */
+    function withDecorations(...args) {
+        // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+        let options = requestWithDefaults.endpoint.merge(...args);
+        // There are currently no other decorations than `.mapToData`
+        if (decorations.mapToData) {
+            options = Object.assign({}, options, {
+                data: options[decorations.mapToData],
+                [decorations.mapToData]: undefined,
+            });
+            return requestWithDefaults(options);
+        }
+        if (decorations.renamed) {
+            const [newScope, newMethodName] = decorations.renamed;
+            octokit.log.warn(`octokit.${scope}.${methodName}() has been renamed to octokit.${newScope}.${newMethodName}()`);
+        }
+        if (decorations.deprecated) {
+            octokit.log.warn(decorations.deprecated);
+        }
+        if (decorations.renamedParameters) {
+            // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+            const options = requestWithDefaults.endpoint.merge(...args);
+            for (const [name, alias] of Object.entries(decorations.renamedParameters)) {
+                if (name in options) {
+                    octokit.log.warn(`"${name}" parameter is deprecated for "octokit.${scope}.${methodName}()". Use "${alias}" instead`);
+                    if (!(alias in options)) {
+                        options[alias] = options[name];
+                    }
+                    delete options[name];
+                }
+            }
+            return requestWithDefaults(options);
+        }
+        // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+        return requestWithDefaults(...args);
+    }
+    return Object.assign(withDecorations, requestWithDefaults);
+}
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/endpoints.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/endpoints.js
index 90efed223..a04b4b930 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/endpoints.js
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/endpoints.js
@@ -1,6624 +1,1234 @@
-export default {
+const Endpoints = {
     actions: {
-        cancelWorkflowRun: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/cancel"
-        },
-        createOrUpdateSecretForRepo: {
-            method: "PUT",
-            params: {
-                encrypted_value: { type: "string" },
-                key_id: { type: "string" },
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets/:name"
-        },
-        createRegistrationToken: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/registration-token"
-        },
-        createRemoveToken: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/remove-token"
-        },
-        deleteArtifact: {
-            method: "DELETE",
-            params: {
-                artifact_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/artifacts/:artifact_id"
-        },
-        deleteSecretFromRepo: {
-            method: "DELETE",
-            params: {
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets/:name"
-        },
-        downloadArtifact: {
-            method: "GET",
-            params: {
-                archive_format: { required: true, type: "string" },
-                artifact_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format"
-        },
-        getArtifact: {
-            method: "GET",
-            params: {
-                artifact_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/artifacts/:artifact_id"
-        },
-        getPublicKey: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets/public-key"
-        },
-        getSecret: {
-            method: "GET",
-            params: {
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets/:name"
-        },
-        getSelfHostedRunner: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                runner_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/:runner_id"
-        },
-        getWorkflow: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                workflow_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/workflows/:workflow_id"
-        },
-        getWorkflowJob: {
-            method: "GET",
-            params: {
-                job_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/jobs/:job_id"
-        },
-        getWorkflowRun: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id"
-        },
-        listDownloadsForSelfHostedRunnerApplication: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/downloads"
-        },
-        listJobsForWorkflowRun: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/jobs"
-        },
-        listRepoWorkflowRuns: {
-            method: "GET",
-            params: {
-                actor: { type: "string" },
-                branch: { type: "string" },
-                event: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                status: { enum: ["completed", "status", "conclusion"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runs"
-        },
-        listRepoWorkflows: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/workflows"
-        },
-        listSecretsForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets"
-        },
-        listSelfHostedRunnersForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runners"
-        },
-        listWorkflowJobLogs: {
-            method: "GET",
-            params: {
-                job_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/jobs/:job_id/logs"
-        },
-        listWorkflowRunArtifacts: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/artifacts"
-        },
-        listWorkflowRunLogs: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/logs"
-        },
-        listWorkflowRuns: {
-            method: "GET",
-            params: {
-                actor: { type: "string" },
-                branch: { type: "string" },
-                event: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                status: { enum: ["completed", "status", "conclusion"], type: "string" },
-                workflow_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/workflows/:workflow_id/runs"
-        },
-        reRunWorkflow: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/rerun"
-        },
-        removeSelfHostedRunner: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                runner_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/:runner_id"
-        }
+        addSelectedRepoToOrgSecret: [
+            "PUT /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}",
+        ],
+        cancelWorkflowRun: [
+            "POST /repos/{owner}/{repo}/actions/runs/{run_id}/cancel",
+        ],
+        createOrUpdateOrgSecret: ["PUT /orgs/{org}/actions/secrets/{secret_name}"],
+        createOrUpdateRepoSecret: [
+            "PUT /repos/{owner}/{repo}/actions/secrets/{secret_name}",
+        ],
+        createRegistrationTokenForOrg: [
+            "POST /orgs/{org}/actions/runners/registration-token",
+        ],
+        createRegistrationTokenForRepo: [
+            "POST /repos/{owner}/{repo}/actions/runners/registration-token",
+        ],
+        createRemoveTokenForOrg: ["POST /orgs/{org}/actions/runners/remove-token"],
+        createRemoveTokenForRepo: [
+            "POST /repos/{owner}/{repo}/actions/runners/remove-token",
+        ],
+        createWorkflowDispatch: [
+            "POST /repos/{owner}/{repo}/actions/workflows/{workflow_id}/dispatches",
+        ],
+        deleteArtifact: [
+            "DELETE /repos/{owner}/{repo}/actions/artifacts/{artifact_id}",
+        ],
+        deleteOrgSecret: ["DELETE /orgs/{org}/actions/secrets/{secret_name}"],
+        deleteRepoSecret: [
+            "DELETE /repos/{owner}/{repo}/actions/secrets/{secret_name}",
+        ],
+        deleteSelfHostedRunnerFromOrg: [
+            "DELETE /orgs/{org}/actions/runners/{runner_id}",
+        ],
+        deleteSelfHostedRunnerFromRepo: [
+            "DELETE /repos/{owner}/{repo}/actions/runners/{runner_id}",
+        ],
+        deleteWorkflowRun: ["DELETE /repos/{owner}/{repo}/actions/runs/{run_id}"],
+        deleteWorkflowRunLogs: [
+            "DELETE /repos/{owner}/{repo}/actions/runs/{run_id}/logs",
+        ],
+        downloadArtifact: [
+            "GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}/{archive_format}",
+        ],
+        downloadJobLogsForWorkflowRun: [
+            "GET /repos/{owner}/{repo}/actions/jobs/{job_id}/logs",
+        ],
+        downloadWorkflowRunLogs: [
+            "GET /repos/{owner}/{repo}/actions/runs/{run_id}/logs",
+        ],
+        getArtifact: ["GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}"],
+        getJobForWorkflowRun: ["GET /repos/{owner}/{repo}/actions/jobs/{job_id}"],
+        getOrgPublicKey: ["GET /orgs/{org}/actions/secrets/public-key"],
+        getOrgSecret: ["GET /orgs/{org}/actions/secrets/{secret_name}"],
+        getRepoPublicKey: ["GET /repos/{owner}/{repo}/actions/secrets/public-key"],
+        getRepoSecret: ["GET /repos/{owner}/{repo}/actions/secrets/{secret_name}"],
+        getSelfHostedRunnerForOrg: ["GET /orgs/{org}/actions/runners/{runner_id}"],
+        getSelfHostedRunnerForRepo: [
+            "GET /repos/{owner}/{repo}/actions/runners/{runner_id}",
+        ],
+        getWorkflow: ["GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}"],
+        getWorkflowRun: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}"],
+        getWorkflowRunUsage: [
+            "GET /repos/{owner}/{repo}/actions/runs/{run_id}/timing",
+        ],
+        getWorkflowUsage: [
+            "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/timing",
+        ],
+        listArtifactsForRepo: ["GET /repos/{owner}/{repo}/actions/artifacts"],
+        listJobsForWorkflowRun: [
+            "GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs",
+        ],
+        listOrgSecrets: ["GET /orgs/{org}/actions/secrets"],
+        listRepoSecrets: ["GET /repos/{owner}/{repo}/actions/secrets"],
+        listRepoWorkflows: ["GET /repos/{owner}/{repo}/actions/workflows"],
+        listRunnerApplicationsForOrg: ["GET /orgs/{org}/actions/runners/downloads"],
+        listRunnerApplicationsForRepo: [
+            "GET /repos/{owner}/{repo}/actions/runners/downloads",
+        ],
+        listSelectedReposForOrgSecret: [
+            "GET /orgs/{org}/actions/secrets/{secret_name}/repositories",
+        ],
+        listSelfHostedRunnersForOrg: ["GET /orgs/{org}/actions/runners"],
+        listSelfHostedRunnersForRepo: ["GET /repos/{owner}/{repo}/actions/runners"],
+        listWorkflowRunArtifacts: [
+            "GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts",
+        ],
+        listWorkflowRuns: [
+            "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs",
+        ],
+        listWorkflowRunsForRepo: ["GET /repos/{owner}/{repo}/actions/runs"],
+        reRunWorkflow: ["POST /repos/{owner}/{repo}/actions/runs/{run_id}/rerun"],
+        removeSelectedRepoFromOrgSecret: [
+            "DELETE /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}",
+        ],
+        setSelectedReposForOrgSecret: [
+            "PUT /orgs/{org}/actions/secrets/{secret_name}/repositories",
+        ],
     },
     activity: {
-        checkStarringRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/user/starred/:owner/:repo"
-        },
-        deleteRepoSubscription: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/subscription"
-        },
-        deleteThreadSubscription: {
-            method: "DELETE",
-            params: { thread_id: { required: true, type: "integer" } },
-            url: "/notifications/threads/:thread_id/subscription"
-        },
-        getRepoSubscription: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/subscription"
-        },
-        getThread: {
-            method: "GET",
-            params: { thread_id: { required: true, type: "integer" } },
-            url: "/notifications/threads/:thread_id"
-        },
-        getThreadSubscription: {
-            method: "GET",
-            params: { thread_id: { required: true, type: "integer" } },
-            url: "/notifications/threads/:thread_id/subscription"
-        },
-        listEventsForOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/events/orgs/:org"
-        },
-        listEventsForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/events"
-        },
-        listFeeds: { method: "GET", params: {}, url: "/feeds" },
-        listNotifications: {
-            method: "GET",
-            params: {
-                all: { type: "boolean" },
-                before: { type: "string" },
-                page: { type: "integer" },
-                participating: { type: "boolean" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/notifications"
-        },
-        listNotificationsForRepo: {
-            method: "GET",
-            params: {
-                all: { type: "boolean" },
-                before: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                participating: { type: "boolean" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/notifications"
-        },
-        listPublicEvents: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/events"
-        },
-        listPublicEventsForOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/events"
-        },
-        listPublicEventsForRepoNetwork: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/networks/:owner/:repo/events"
-        },
-        listPublicEventsForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/events/public"
-        },
-        listReceivedEventsForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/received_events"
-        },
-        listReceivedPublicEventsForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/received_events/public"
-        },
-        listRepoEvents: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/events"
-        },
-        listReposStarredByAuthenticatedUser: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/user/starred"
-        },
-        listReposStarredByUser: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/starred"
-        },
-        listReposWatchedByUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/subscriptions"
-        },
-        listStargazersForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stargazers"
-        },
-        listWatchedReposForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/subscriptions"
-        },
-        listWatchersForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/subscribers"
-        },
-        markAsRead: {
-            method: "PUT",
-            params: { last_read_at: { type: "string" } },
-            url: "/notifications"
-        },
-        markNotificationsAsReadForRepo: {
-            method: "PUT",
-            params: {
-                last_read_at: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/notifications"
-        },
-        markThreadAsRead: {
-            method: "PATCH",
-            params: { thread_id: { required: true, type: "integer" } },
-            url: "/notifications/threads/:thread_id"
-        },
-        setRepoSubscription: {
-            method: "PUT",
-            params: {
-                ignored: { type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                subscribed: { type: "boolean" }
-            },
-            url: "/repos/:owner/:repo/subscription"
-        },
-        setThreadSubscription: {
-            method: "PUT",
-            params: {
-                ignored: { type: "boolean" },
-                thread_id: { required: true, type: "integer" }
-            },
-            url: "/notifications/threads/:thread_id/subscription"
-        },
-        starRepo: {
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/user/starred/:owner/:repo"
-        },
-        unstarRepo: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/user/starred/:owner/:repo"
-        }
+        checkRepoIsStarredByAuthenticatedUser: ["GET /user/starred/{owner}/{repo}"],
+        deleteRepoSubscription: ["DELETE /repos/{owner}/{repo}/subscription"],
+        deleteThreadSubscription: [
+            "DELETE /notifications/threads/{thread_id}/subscription",
+        ],
+        getFeeds: ["GET /feeds"],
+        getRepoSubscription: ["GET /repos/{owner}/{repo}/subscription"],
+        getThread: ["GET /notifications/threads/{thread_id}"],
+        getThreadSubscriptionForAuthenticatedUser: [
+            "GET /notifications/threads/{thread_id}/subscription",
+        ],
+        listEventsForAuthenticatedUser: ["GET /users/{username}/events"],
+        listNotificationsForAuthenticatedUser: ["GET /notifications"],
+        listOrgEventsForAuthenticatedUser: [
+            "GET /users/{username}/events/orgs/{org}",
+        ],
+        listPublicEvents: ["GET /events"],
+        listPublicEventsForRepoNetwork: ["GET /networks/{owner}/{repo}/events"],
+        listPublicEventsForUser: ["GET /users/{username}/events/public"],
+        listPublicOrgEvents: ["GET /orgs/{org}/events"],
+        listReceivedEventsForUser: ["GET /users/{username}/received_events"],
+        listReceivedPublicEventsForUser: [
+            "GET /users/{username}/received_events/public",
+        ],
+        listRepoEvents: ["GET /repos/{owner}/{repo}/events"],
+        listRepoNotificationsForAuthenticatedUser: [
+            "GET /repos/{owner}/{repo}/notifications",
+        ],
+        listReposStarredByAuthenticatedUser: ["GET /user/starred"],
+        listReposStarredByUser: ["GET /users/{username}/starred"],
+        listReposWatchedByUser: ["GET /users/{username}/subscriptions"],
+        listStargazersForRepo: ["GET /repos/{owner}/{repo}/stargazers"],
+        listWatchedReposForAuthenticatedUser: ["GET /user/subscriptions"],
+        listWatchersForRepo: ["GET /repos/{owner}/{repo}/subscribers"],
+        markNotificationsAsRead: ["PUT /notifications"],
+        markRepoNotificationsAsRead: ["PUT /repos/{owner}/{repo}/notifications"],
+        markThreadAsRead: ["PATCH /notifications/threads/{thread_id}"],
+        setRepoSubscription: ["PUT /repos/{owner}/{repo}/subscription"],
+        setThreadSubscription: [
+            "PUT /notifications/threads/{thread_id}/subscription",
+        ],
+        starRepoForAuthenticatedUser: ["PUT /user/starred/{owner}/{repo}"],
+        unstarRepoForAuthenticatedUser: ["DELETE /user/starred/{owner}/{repo}"],
     },
     apps: {
-        addRepoToInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "PUT",
-            params: {
-                installation_id: { required: true, type: "integer" },
-                repository_id: { required: true, type: "integer" }
-            },
-            url: "/user/installations/:installation_id/repositories/:repository_id"
-        },
-        checkAccountIsAssociatedWithAny: {
-            method: "GET",
-            params: { account_id: { required: true, type: "integer" } },
-            url: "/marketplace_listing/accounts/:account_id"
-        },
-        checkAccountIsAssociatedWithAnyStubbed: {
-            method: "GET",
-            params: { account_id: { required: true, type: "integer" } },
-            url: "/marketplace_listing/stubbed/accounts/:account_id"
-        },
-        checkAuthorization: {
-            deprecated: "octokit.apps.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization",
-            method: "GET",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        checkToken: {
-            headers: { accept: "application/vnd.github.doctor-strange-preview+json" },
-            method: "POST",
-            params: {
-                access_token: { type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/token"
-        },
-        createContentAttachment: {
-            headers: { accept: "application/vnd.github.corsair-preview+json" },
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                content_reference_id: { required: true, type: "integer" },
-                title: { required: true, type: "string" }
-            },
-            url: "/content_references/:content_reference_id/attachments"
-        },
-        createFromManifest: {
-            headers: { accept: "application/vnd.github.fury-preview+json" },
-            method: "POST",
-            params: { code: { required: true, type: "string" } },
-            url: "/app-manifests/:code/conversions"
-        },
-        createInstallationToken: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "POST",
-            params: {
-                installation_id: { required: true, type: "integer" },
-                permissions: { type: "object" },
-                repository_ids: { type: "integer[]" }
-            },
-            url: "/app/installations/:installation_id/access_tokens"
-        },
-        deleteAuthorization: {
-            headers: { accept: "application/vnd.github.doctor-strange-preview+json" },
-            method: "DELETE",
-            params: {
-                access_token: { type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/grant"
-        },
-        deleteInstallation: {
-            headers: {
-                accept: "application/vnd.github.gambit-preview+json,application/vnd.github.machine-man-preview+json"
-            },
-            method: "DELETE",
-            params: { installation_id: { required: true, type: "integer" } },
-            url: "/app/installations/:installation_id"
-        },
-        deleteToken: {
-            headers: { accept: "application/vnd.github.doctor-strange-preview+json" },
-            method: "DELETE",
-            params: {
-                access_token: { type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/token"
-        },
-        findOrgInstallation: {
-            deprecated: "octokit.apps.findOrgInstallation() has been renamed to octokit.apps.getOrgInstallation() (2019-04-10)",
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/installation"
-        },
-        findRepoInstallation: {
-            deprecated: "octokit.apps.findRepoInstallation() has been renamed to octokit.apps.getRepoInstallation() (2019-04-10)",
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/installation"
-        },
-        findUserInstallation: {
-            deprecated: "octokit.apps.findUserInstallation() has been renamed to octokit.apps.getUserInstallation() (2019-04-10)",
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/users/:username/installation"
-        },
-        getAuthenticated: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {},
-            url: "/app"
-        },
-        getBySlug: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { app_slug: { required: true, type: "string" } },
-            url: "/apps/:app_slug"
-        },
-        getInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { installation_id: { required: true, type: "integer" } },
-            url: "/app/installations/:installation_id"
-        },
-        getOrgInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/installation"
-        },
-        getRepoInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/installation"
-        },
-        getUserInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/users/:username/installation"
-        },
-        listAccountsUserOrOrgOnPlan: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                plan_id: { required: true, type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/marketplace_listing/plans/:plan_id/accounts"
-        },
-        listAccountsUserOrOrgOnPlanStubbed: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                plan_id: { required: true, type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/marketplace_listing/stubbed/plans/:plan_id/accounts"
-        },
-        listInstallationReposForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {
-                installation_id: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/user/installations/:installation_id/repositories"
-        },
-        listInstallations: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/app/installations"
-        },
-        listInstallationsForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/installations"
-        },
-        listMarketplacePurchasesForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/marketplace_purchases"
-        },
-        listMarketplacePurchasesForAuthenticatedUserStubbed: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/marketplace_purchases/stubbed"
-        },
-        listPlans: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/marketplace_listing/plans"
-        },
-        listPlansStubbed: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/marketplace_listing/stubbed/plans"
-        },
-        listRepos: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/installation/repositories"
-        },
-        removeRepoFromInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "DELETE",
-            params: {
-                installation_id: { required: true, type: "integer" },
-                repository_id: { required: true, type: "integer" }
-            },
-            url: "/user/installations/:installation_id/repositories/:repository_id"
-        },
-        resetAuthorization: {
-            deprecated: "octokit.apps.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization",
-            method: "POST",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        resetToken: {
-            headers: { accept: "application/vnd.github.doctor-strange-preview+json" },
-            method: "PATCH",
-            params: {
-                access_token: { type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/token"
-        },
-        revokeAuthorizationForApplication: {
-            deprecated: "octokit.apps.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application",
-            method: "DELETE",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        revokeGrantForApplication: {
-            deprecated: "octokit.apps.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application",
-            method: "DELETE",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/grants/:access_token"
-        },
-        revokeInstallationToken: {
-            headers: { accept: "application/vnd.github.gambit-preview+json" },
-            method: "DELETE",
-            params: {},
-            url: "/installation/token"
-        }
+        addRepoToInstallation: [
+            "PUT /user/installations/{installation_id}/repositories/{repository_id}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        checkToken: ["POST /applications/{client_id}/token"],
+        createContentAttachment: [
+            "POST /content_references/{content_reference_id}/attachments",
+            { mediaType: { previews: ["corsair"] } },
+        ],
+        createFromManifest: ["POST /app-manifests/{code}/conversions"],
+        createInstallationAccessToken: [
+            "POST /app/installations/{installation_id}/access_tokens",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        deleteAuthorization: ["DELETE /applications/{client_id}/grant"],
+        deleteInstallation: [
+            "DELETE /app/installations/{installation_id}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        deleteToken: ["DELETE /applications/{client_id}/token"],
+        getAuthenticated: [
+            "GET /app",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getBySlug: [
+            "GET /apps/{app_slug}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getInstallation: [
+            "GET /app/installations/{installation_id}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getOrgInstallation: [
+            "GET /orgs/{org}/installation",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getRepoInstallation: [
+            "GET /repos/{owner}/{repo}/installation",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getSubscriptionPlanForAccount: [
+            "GET /marketplace_listing/accounts/{account_id}",
+        ],
+        getSubscriptionPlanForAccountStubbed: [
+            "GET /marketplace_listing/stubbed/accounts/{account_id}",
+        ],
+        getUserInstallation: [
+            "GET /users/{username}/installation",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listAccountsForPlan: ["GET /marketplace_listing/plans/{plan_id}/accounts"],
+        listAccountsForPlanStubbed: [
+            "GET /marketplace_listing/stubbed/plans/{plan_id}/accounts",
+        ],
+        listInstallationReposForAuthenticatedUser: [
+            "GET /user/installations/{installation_id}/repositories",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listInstallations: [
+            "GET /app/installations",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listInstallationsForAuthenticatedUser: [
+            "GET /user/installations",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listPlans: ["GET /marketplace_listing/plans"],
+        listPlansStubbed: ["GET /marketplace_listing/stubbed/plans"],
+        listReposAccessibleToInstallation: [
+            "GET /installation/repositories",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listSubscriptionsForAuthenticatedUser: ["GET /user/marketplace_purchases"],
+        listSubscriptionsForAuthenticatedUserStubbed: [
+            "GET /user/marketplace_purchases/stubbed",
+        ],
+        removeRepoFromInstallation: [
+            "DELETE /user/installations/{installation_id}/repositories/{repository_id}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        resetToken: ["PATCH /applications/{client_id}/token"],
+        revokeInstallationAccessToken: ["DELETE /installation/token"],
+        suspendInstallation: ["PUT /app/installations/{installation_id}/suspended"],
+        unsuspendInstallation: [
+            "DELETE /app/installations/{installation_id}/suspended",
+        ],
+    },
+    billing: {
+        getGithubActionsBillingOrg: ["GET /orgs/{org}/settings/billing/actions"],
+        getGithubActionsBillingUser: [
+            "GET /users/{username}/settings/billing/actions",
+        ],
+        getGithubPackagesBillingOrg: ["GET /orgs/{org}/settings/billing/packages"],
+        getGithubPackagesBillingUser: [
+            "GET /users/{username}/settings/billing/packages",
+        ],
+        getSharedStorageBillingOrg: [
+            "GET /orgs/{org}/settings/billing/shared-storage",
+        ],
+        getSharedStorageBillingUser: [
+            "GET /users/{username}/settings/billing/shared-storage",
+        ],
     },
     checks: {
-        create: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "POST",
-            params: {
-                actions: { type: "object[]" },
-                "actions[].description": { required: true, type: "string" },
-                "actions[].identifier": { required: true, type: "string" },
-                "actions[].label": { required: true, type: "string" },
-                completed_at: { type: "string" },
-                conclusion: {
-                    enum: [
-                        "success",
-                        "failure",
-                        "neutral",
-                        "cancelled",
-                        "timed_out",
-                        "action_required"
-                    ],
-                    type: "string"
-                },
-                details_url: { type: "string" },
-                external_id: { type: "string" },
-                head_sha: { required: true, type: "string" },
-                name: { required: true, type: "string" },
-                output: { type: "object" },
-                "output.annotations": { type: "object[]" },
-                "output.annotations[].annotation_level": {
-                    enum: ["notice", "warning", "failure"],
-                    required: true,
-                    type: "string"
-                },
-                "output.annotations[].end_column": { type: "integer" },
-                "output.annotations[].end_line": { required: true, type: "integer" },
-                "output.annotations[].message": { required: true, type: "string" },
-                "output.annotations[].path": { required: true, type: "string" },
-                "output.annotations[].raw_details": { type: "string" },
-                "output.annotations[].start_column": { type: "integer" },
-                "output.annotations[].start_line": { required: true, type: "integer" },
-                "output.annotations[].title": { type: "string" },
-                "output.images": { type: "object[]" },
-                "output.images[].alt": { required: true, type: "string" },
-                "output.images[].caption": { type: "string" },
-                "output.images[].image_url": { required: true, type: "string" },
-                "output.summary": { required: true, type: "string" },
-                "output.text": { type: "string" },
-                "output.title": { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                started_at: { type: "string" },
-                status: { enum: ["queued", "in_progress", "completed"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-runs"
-        },
-        createSuite: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "POST",
-            params: {
-                head_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites"
-        },
-        get: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_run_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-runs/:check_run_id"
-        },
-        getSuite: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_suite_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites/:check_suite_id"
-        },
-        listAnnotations: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_run_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-runs/:check_run_id/annotations"
-        },
-        listForRef: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_name: { type: "string" },
-                filter: { enum: ["latest", "all"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                status: { enum: ["queued", "in_progress", "completed"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref/check-runs"
-        },
-        listForSuite: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_name: { type: "string" },
-                check_suite_id: { required: true, type: "integer" },
-                filter: { enum: ["latest", "all"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                status: { enum: ["queued", "in_progress", "completed"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites/:check_suite_id/check-runs"
-        },
-        listSuitesForRef: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                app_id: { type: "integer" },
-                check_name: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref/check-suites"
-        },
-        rerequestSuite: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "POST",
-            params: {
-                check_suite_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites/:check_suite_id/rerequest"
-        },
-        setSuitesPreferences: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "PATCH",
-            params: {
-                auto_trigger_checks: { type: "object[]" },
-                "auto_trigger_checks[].app_id": { required: true, type: "integer" },
-                "auto_trigger_checks[].setting": { required: true, type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites/preferences"
-        },
-        update: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "PATCH",
-            params: {
-                actions: { type: "object[]" },
-                "actions[].description": { required: true, type: "string" },
-                "actions[].identifier": { required: true, type: "string" },
-                "actions[].label": { required: true, type: "string" },
-                check_run_id: { required: true, type: "integer" },
-                completed_at: { type: "string" },
-                conclusion: {
-                    enum: [
-                        "success",
-                        "failure",
-                        "neutral",
-                        "cancelled",
-                        "timed_out",
-                        "action_required"
-                    ],
-                    type: "string"
-                },
-                details_url: { type: "string" },
-                external_id: { type: "string" },
-                name: { type: "string" },
-                output: { type: "object" },
-                "output.annotations": { type: "object[]" },
-                "output.annotations[].annotation_level": {
-                    enum: ["notice", "warning", "failure"],
-                    required: true,
-                    type: "string"
-                },
-                "output.annotations[].end_column": { type: "integer" },
-                "output.annotations[].end_line": { required: true, type: "integer" },
-                "output.annotations[].message": { required: true, type: "string" },
-                "output.annotations[].path": { required: true, type: "string" },
-                "output.annotations[].raw_details": { type: "string" },
-                "output.annotations[].start_column": { type: "integer" },
-                "output.annotations[].start_line": { required: true, type: "integer" },
-                "output.annotations[].title": { type: "string" },
-                "output.images": { type: "object[]" },
-                "output.images[].alt": { required: true, type: "string" },
-                "output.images[].caption": { type: "string" },
-                "output.images[].image_url": { required: true, type: "string" },
-                "output.summary": { required: true, type: "string" },
-                "output.text": { type: "string" },
-                "output.title": { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                started_at: { type: "string" },
-                status: { enum: ["queued", "in_progress", "completed"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-runs/:check_run_id"
-        }
+        create: [
+            "POST /repos/{owner}/{repo}/check-runs",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        createSuite: [
+            "POST /repos/{owner}/{repo}/check-suites",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        get: [
+            "GET /repos/{owner}/{repo}/check-runs/{check_run_id}",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        getSuite: [
+            "GET /repos/{owner}/{repo}/check-suites/{check_suite_id}",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        listAnnotations: [
+            "GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        listForRef: [
+            "GET /repos/{owner}/{repo}/commits/{ref}/check-runs",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        listForSuite: [
+            "GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        listSuitesForRef: [
+            "GET /repos/{owner}/{repo}/commits/{ref}/check-suites",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        rerequestSuite: [
+            "POST /repos/{owner}/{repo}/check-suites/{check_suite_id}/rerequest",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        setSuitesPreferences: [
+            "PATCH /repos/{owner}/{repo}/check-suites/preferences",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        update: [
+            "PATCH /repos/{owner}/{repo}/check-runs/{check_run_id}",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+    },
+    codeScanning: {
+        getAlert: ["GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_id}"],
+        listAlertsForRepo: ["GET /repos/{owner}/{repo}/code-scanning/alerts"],
     },
     codesOfConduct: {
-        getConductCode: {
-            headers: { accept: "application/vnd.github.scarlet-witch-preview+json" },
-            method: "GET",
-            params: { key: { required: true, type: "string" } },
-            url: "/codes_of_conduct/:key"
-        },
-        getForRepo: {
-            headers: { accept: "application/vnd.github.scarlet-witch-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/community/code_of_conduct"
-        },
-        listConductCodes: {
-            headers: { accept: "application/vnd.github.scarlet-witch-preview+json" },
-            method: "GET",
-            params: {},
-            url: "/codes_of_conduct"
-        }
+        getAllCodesOfConduct: [
+            "GET /codes_of_conduct",
+            { mediaType: { previews: ["scarlet-witch"] } },
+        ],
+        getConductCode: [
+            "GET /codes_of_conduct/{key}",
+            { mediaType: { previews: ["scarlet-witch"] } },
+        ],
+        getForRepo: [
+            "GET /repos/{owner}/{repo}/community/code_of_conduct",
+            { mediaType: { previews: ["scarlet-witch"] } },
+        ],
     },
-    emojis: { get: { method: "GET", params: {}, url: "/emojis" } },
+    emojis: { get: ["GET /emojis"] },
     gists: {
-        checkIsStarred: {
-            method: "GET",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id/star"
-        },
-        create: {
-            method: "POST",
-            params: {
-                description: { type: "string" },
-                files: { required: true, type: "object" },
-                "files.content": { type: "string" },
-                public: { type: "boolean" }
-            },
-            url: "/gists"
-        },
-        createComment: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/comments"
-        },
-        delete: {
-            method: "DELETE",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id"
-        },
-        deleteComment: {
-            method: "DELETE",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/comments/:comment_id"
-        },
-        fork: {
-            method: "POST",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id/forks"
-        },
-        get: {
-            method: "GET",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id"
-        },
-        getComment: {
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/comments/:comment_id"
-        },
-        getRevision: {
-            method: "GET",
-            params: {
-                gist_id: { required: true, type: "string" },
-                sha: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/:sha"
-        },
-        list: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/gists"
-        },
-        listComments: {
-            method: "GET",
-            params: {
-                gist_id: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/gists/:gist_id/comments"
-        },
-        listCommits: {
-            method: "GET",
-            params: {
-                gist_id: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/gists/:gist_id/commits"
-        },
-        listForks: {
-            method: "GET",
-            params: {
-                gist_id: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/gists/:gist_id/forks"
-        },
-        listPublic: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/gists/public"
-        },
-        listPublicForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/gists"
-        },
-        listStarred: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/gists/starred"
-        },
-        star: {
-            method: "PUT",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id/star"
-        },
-        unstar: {
-            method: "DELETE",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id/star"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                files: { type: "object" },
-                "files.content": { type: "string" },
-                "files.filename": { type: "string" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id"
-        },
-        updateComment: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/comments/:comment_id"
-        }
+        checkIsStarred: ["GET /gists/{gist_id}/star"],
+        create: ["POST /gists"],
+        createComment: ["POST /gists/{gist_id}/comments"],
+        delete: ["DELETE /gists/{gist_id}"],
+        deleteComment: ["DELETE /gists/{gist_id}/comments/{comment_id}"],
+        fork: ["POST /gists/{gist_id}/forks"],
+        get: ["GET /gists/{gist_id}"],
+        getComment: ["GET /gists/{gist_id}/comments/{comment_id}"],
+        getRevision: ["GET /gists/{gist_id}/{sha}"],
+        list: ["GET /gists"],
+        listComments: ["GET /gists/{gist_id}/comments"],
+        listCommits: ["GET /gists/{gist_id}/commits"],
+        listForUser: ["GET /users/{username}/gists"],
+        listForks: ["GET /gists/{gist_id}/forks"],
+        listPublic: ["GET /gists/public"],
+        listStarred: ["GET /gists/starred"],
+        star: ["PUT /gists/{gist_id}/star"],
+        unstar: ["DELETE /gists/{gist_id}/star"],
+        update: ["PATCH /gists/{gist_id}"],
+        updateComment: ["PATCH /gists/{gist_id}/comments/{comment_id}"],
     },
     git: {
-        createBlob: {
-            method: "POST",
-            params: {
-                content: { required: true, type: "string" },
-                encoding: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/blobs"
-        },
-        createCommit: {
-            method: "POST",
-            params: {
-                author: { type: "object" },
-                "author.date": { type: "string" },
-                "author.email": { type: "string" },
-                "author.name": { type: "string" },
-                committer: { type: "object" },
-                "committer.date": { type: "string" },
-                "committer.email": { type: "string" },
-                "committer.name": { type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                parents: { required: true, type: "string[]" },
-                repo: { required: true, type: "string" },
-                signature: { type: "string" },
-                tree: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/commits"
-        },
-        createRef: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/refs"
-        },
-        createTag: {
-            method: "POST",
-            params: {
-                message: { required: true, type: "string" },
-                object: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tag: { required: true, type: "string" },
-                tagger: { type: "object" },
-                "tagger.date": { type: "string" },
-                "tagger.email": { type: "string" },
-                "tagger.name": { type: "string" },
-                type: {
-                    enum: ["commit", "tree", "blob"],
-                    required: true,
-                    type: "string"
-                }
-            },
-            url: "/repos/:owner/:repo/git/tags"
-        },
-        createTree: {
-            method: "POST",
-            params: {
-                base_tree: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tree: { required: true, type: "object[]" },
-                "tree[].content": { type: "string" },
-                "tree[].mode": {
-                    enum: ["100644", "100755", "040000", "160000", "120000"],
-                    type: "string"
-                },
-                "tree[].path": { type: "string" },
-                "tree[].sha": { allowNull: true, type: "string" },
-                "tree[].type": { enum: ["blob", "tree", "commit"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/trees"
-        },
-        deleteRef: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/refs/:ref"
-        },
-        getBlob: {
-            method: "GET",
-            params: {
-                file_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/blobs/:file_sha"
-        },
-        getCommit: {
-            method: "GET",
-            params: {
-                commit_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/commits/:commit_sha"
-        },
-        getRef: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/ref/:ref"
-        },
-        getTag: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tag_sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/tags/:tag_sha"
-        },
-        getTree: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                recursive: { enum: ["1"], type: "integer" },
-                repo: { required: true, type: "string" },
-                tree_sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/trees/:tree_sha"
-        },
-        listMatchingRefs: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/matching-refs/:ref"
-        },
-        listRefs: {
-            method: "GET",
-            params: {
-                namespace: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/refs/:namespace"
-        },
-        updateRef: {
-            method: "PATCH",
-            params: {
-                force: { type: "boolean" },
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/refs/:ref"
-        }
+        createBlob: ["POST /repos/{owner}/{repo}/git/blobs"],
+        createCommit: ["POST /repos/{owner}/{repo}/git/commits"],
+        createRef: ["POST /repos/{owner}/{repo}/git/refs"],
+        createTag: ["POST /repos/{owner}/{repo}/git/tags"],
+        createTree: ["POST /repos/{owner}/{repo}/git/trees"],
+        deleteRef: ["DELETE /repos/{owner}/{repo}/git/refs/{ref}"],
+        getBlob: ["GET /repos/{owner}/{repo}/git/blobs/{file_sha}"],
+        getCommit: ["GET /repos/{owner}/{repo}/git/commits/{commit_sha}"],
+        getRef: ["GET /repos/{owner}/{repo}/git/ref/{ref}"],
+        getTag: ["GET /repos/{owner}/{repo}/git/tags/{tag_sha}"],
+        getTree: ["GET /repos/{owner}/{repo}/git/trees/{tree_sha}"],
+        listMatchingRefs: ["GET /repos/{owner}/{repo}/git/matching-refs/{ref}"],
+        updateRef: ["PATCH /repos/{owner}/{repo}/git/refs/{ref}"],
     },
     gitignore: {
-        getTemplate: {
-            method: "GET",
-            params: { name: { required: true, type: "string" } },
-            url: "/gitignore/templates/:name"
-        },
-        listTemplates: { method: "GET", params: {}, url: "/gitignore/templates" }
+        getAllTemplates: ["GET /gitignore/templates"],
+        getTemplate: ["GET /gitignore/templates/{name}"],
     },
     interactions: {
-        addOrUpdateRestrictionsForOrg: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "PUT",
-            params: {
-                limit: {
-                    enum: ["existing_users", "contributors_only", "collaborators_only"],
-                    required: true,
-                    type: "string"
-                },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/interaction-limits"
-        },
-        addOrUpdateRestrictionsForRepo: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "PUT",
-            params: {
-                limit: {
-                    enum: ["existing_users", "contributors_only", "collaborators_only"],
-                    required: true,
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/interaction-limits"
-        },
-        getRestrictionsForOrg: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/interaction-limits"
-        },
-        getRestrictionsForRepo: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/interaction-limits"
-        },
-        removeRestrictionsForOrg: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "DELETE",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/interaction-limits"
-        },
-        removeRestrictionsForRepo: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/interaction-limits"
-        }
+        getRestrictionsForOrg: [
+            "GET /orgs/{org}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        getRestrictionsForRepo: [
+            "GET /repos/{owner}/{repo}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        removeRestrictionsForOrg: [
+            "DELETE /orgs/{org}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        removeRestrictionsForRepo: [
+            "DELETE /repos/{owner}/{repo}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        setRestrictionsForOrg: [
+            "PUT /orgs/{org}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        setRestrictionsForRepo: [
+            "PUT /repos/{owner}/{repo}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
     },
     issues: {
-        addAssignees: {
-            method: "POST",
-            params: {
-                assignees: { type: "string[]" },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/assignees"
-        },
-        addLabels: {
-            method: "POST",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                labels: { required: true, type: "string[]" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels"
-        },
-        checkAssignee: {
-            method: "GET",
-            params: {
-                assignee: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/assignees/:assignee"
-        },
-        create: {
-            method: "POST",
-            params: {
-                assignee: { type: "string" },
-                assignees: { type: "string[]" },
-                body: { type: "string" },
-                labels: { type: "string[]" },
-                milestone: { type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                title: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues"
-        },
-        createComment: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/comments"
-        },
-        createLabel: {
-            method: "POST",
-            params: {
-                color: { required: true, type: "string" },
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels"
-        },
-        createMilestone: {
-            method: "POST",
-            params: {
-                description: { type: "string" },
-                due_on: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed"], type: "string" },
-                title: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones"
-        },
-        deleteComment: {
-            method: "DELETE",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id"
-        },
-        deleteLabel: {
-            method: "DELETE",
-            params: {
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels/:name"
-        },
-        deleteMilestone: {
-            method: "DELETE",
-            params: {
-                milestone_number: { required: true, type: "integer" },
-                number: {
-                    alias: "milestone_number",
-                    deprecated: true,
-                    type: "integer"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones/:milestone_number"
-        },
-        get: {
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number"
-        },
-        getComment: {
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id"
-        },
-        getEvent: {
-            method: "GET",
-            params: {
-                event_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/events/:event_id"
-        },
-        getLabel: {
-            method: "GET",
-            params: {
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels/:name"
-        },
-        getMilestone: {
-            method: "GET",
-            params: {
-                milestone_number: { required: true, type: "integer" },
-                number: {
-                    alias: "milestone_number",
-                    deprecated: true,
-                    type: "integer"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones/:milestone_number"
-        },
-        list: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                filter: {
-                    enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-                    type: "string"
-                },
-                labels: { type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated", "comments"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/issues"
-        },
-        listAssignees: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/assignees"
-        },
-        listComments: {
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/comments"
-        },
-        listCommentsForRepo: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments"
-        },
-        listEvents: {
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/events"
-        },
-        listEventsForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/events"
-        },
-        listEventsForTimeline: {
-            headers: { accept: "application/vnd.github.mockingbird-preview+json" },
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/timeline"
-        },
-        listForAuthenticatedUser: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                filter: {
-                    enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-                    type: "string"
-                },
-                labels: { type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated", "comments"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/user/issues"
-        },
-        listForOrg: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                filter: {
-                    enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-                    type: "string"
-                },
-                labels: { type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated", "comments"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/orgs/:org/issues"
-        },
-        listForRepo: {
-            method: "GET",
-            params: {
-                assignee: { type: "string" },
-                creator: { type: "string" },
-                direction: { enum: ["asc", "desc"], type: "string" },
-                labels: { type: "string" },
-                mentioned: { type: "string" },
-                milestone: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated", "comments"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues"
-        },
-        listLabelsForMilestone: {
-            method: "GET",
-            params: {
-                milestone_number: { required: true, type: "integer" },
-                number: {
-                    alias: "milestone_number",
-                    deprecated: true,
-                    type: "integer"
-                },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones/:milestone_number/labels"
-        },
-        listLabelsForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels"
-        },
-        listLabelsOnIssue: {
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels"
-        },
-        listMilestonesForRepo: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sort: { enum: ["due_on", "completeness"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones"
-        },
-        lock: {
-            method: "PUT",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                lock_reason: {
-                    enum: ["off-topic", "too heated", "resolved", "spam"],
-                    type: "string"
-                },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/lock"
-        },
-        removeAssignees: {
-            method: "DELETE",
-            params: {
-                assignees: { type: "string[]" },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/assignees"
-        },
-        removeLabel: {
-            method: "DELETE",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                name: { required: true, type: "string" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels/:name"
-        },
-        removeLabels: {
-            method: "DELETE",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels"
-        },
-        replaceLabels: {
-            method: "PUT",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                labels: { type: "string[]" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels"
-        },
-        unlock: {
-            method: "DELETE",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/lock"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                assignee: { type: "string" },
-                assignees: { type: "string[]" },
-                body: { type: "string" },
-                issue_number: { required: true, type: "integer" },
-                labels: { type: "string[]" },
-                milestone: { allowNull: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed"], type: "string" },
-                title: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number"
-        },
-        updateComment: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id"
-        },
-        updateLabel: {
-            method: "PATCH",
-            params: {
-                color: { type: "string" },
-                current_name: { required: true, type: "string" },
-                description: { type: "string" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels/:current_name"
-        },
-        updateMilestone: {
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                due_on: { type: "string" },
-                milestone_number: { required: true, type: "integer" },
-                number: {
-                    alias: "milestone_number",
-                    deprecated: true,
-                    type: "integer"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed"], type: "string" },
-                title: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones/:milestone_number"
-        }
+        addAssignees: [
+            "POST /repos/{owner}/{repo}/issues/{issue_number}/assignees",
+        ],
+        addLabels: ["POST /repos/{owner}/{repo}/issues/{issue_number}/labels"],
+        checkUserCanBeAssigned: ["GET /repos/{owner}/{repo}/assignees/{assignee}"],
+        create: ["POST /repos/{owner}/{repo}/issues"],
+        createComment: [
+            "POST /repos/{owner}/{repo}/issues/{issue_number}/comments",
+        ],
+        createLabel: ["POST /repos/{owner}/{repo}/labels"],
+        createMilestone: ["POST /repos/{owner}/{repo}/milestones"],
+        deleteComment: [
+            "DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}",
+        ],
+        deleteLabel: ["DELETE /repos/{owner}/{repo}/labels/{name}"],
+        deleteMilestone: [
+            "DELETE /repos/{owner}/{repo}/milestones/{milestone_number}",
+        ],
+        get: ["GET /repos/{owner}/{repo}/issues/{issue_number}"],
+        getComment: ["GET /repos/{owner}/{repo}/issues/comments/{comment_id}"],
+        getEvent: ["GET /repos/{owner}/{repo}/issues/events/{event_id}"],
+        getLabel: ["GET /repos/{owner}/{repo}/labels/{name}"],
+        getMilestone: ["GET /repos/{owner}/{repo}/milestones/{milestone_number}"],
+        list: ["GET /issues"],
+        listAssignees: ["GET /repos/{owner}/{repo}/assignees"],
+        listComments: ["GET /repos/{owner}/{repo}/issues/{issue_number}/comments"],
+        listCommentsForRepo: ["GET /repos/{owner}/{repo}/issues/comments"],
+        listEvents: ["GET /repos/{owner}/{repo}/issues/{issue_number}/events"],
+        listEventsForRepo: ["GET /repos/{owner}/{repo}/issues/events"],
+        listEventsForTimeline: [
+            "GET /repos/{owner}/{repo}/issues/{issue_number}/timeline",
+            { mediaType: { previews: ["mockingbird"] } },
+        ],
+        listForAuthenticatedUser: ["GET /user/issues"],
+        listForOrg: ["GET /orgs/{org}/issues"],
+        listForRepo: ["GET /repos/{owner}/{repo}/issues"],
+        listLabelsForMilestone: [
+            "GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels",
+        ],
+        listLabelsForRepo: ["GET /repos/{owner}/{repo}/labels"],
+        listLabelsOnIssue: [
+            "GET /repos/{owner}/{repo}/issues/{issue_number}/labels",
+        ],
+        listMilestones: ["GET /repos/{owner}/{repo}/milestones"],
+        lock: ["PUT /repos/{owner}/{repo}/issues/{issue_number}/lock"],
+        removeAllLabels: [
+            "DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels",
+        ],
+        removeAssignees: [
+            "DELETE /repos/{owner}/{repo}/issues/{issue_number}/assignees",
+        ],
+        removeLabel: [
+            "DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels/{name}",
+        ],
+        setLabels: ["PUT /repos/{owner}/{repo}/issues/{issue_number}/labels"],
+        unlock: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/lock"],
+        update: ["PATCH /repos/{owner}/{repo}/issues/{issue_number}"],
+        updateComment: ["PATCH /repos/{owner}/{repo}/issues/comments/{comment_id}"],
+        updateLabel: ["PATCH /repos/{owner}/{repo}/labels/{name}"],
+        updateMilestone: [
+            "PATCH /repos/{owner}/{repo}/milestones/{milestone_number}",
+        ],
     },
     licenses: {
-        get: {
-            method: "GET",
-            params: { license: { required: true, type: "string" } },
-            url: "/licenses/:license"
-        },
-        getForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/license"
-        },
-        list: {
-            deprecated: "octokit.licenses.list() has been renamed to octokit.licenses.listCommonlyUsed() (2019-03-05)",
-            method: "GET",
-            params: {},
-            url: "/licenses"
-        },
-        listCommonlyUsed: { method: "GET", params: {}, url: "/licenses" }
+        get: ["GET /licenses/{license}"],
+        getAllCommonlyUsed: ["GET /licenses"],
+        getForRepo: ["GET /repos/{owner}/{repo}/license"],
     },
     markdown: {
-        render: {
-            method: "POST",
-            params: {
-                context: { type: "string" },
-                mode: { enum: ["markdown", "gfm"], type: "string" },
-                text: { required: true, type: "string" }
-            },
-            url: "/markdown"
-        },
-        renderRaw: {
-            headers: { "content-type": "text/plain; charset=utf-8" },
-            method: "POST",
-            params: { data: { mapTo: "data", required: true, type: "string" } },
-            url: "/markdown/raw"
-        }
+        render: ["POST /markdown"],
+        renderRaw: [
+            "POST /markdown/raw",
+            { headers: { "content-type": "text/plain; charset=utf-8" } },
+        ],
     },
-    meta: { get: { method: "GET", params: {}, url: "/meta" } },
+    meta: { get: ["GET /meta"] },
     migrations: {
-        cancelImport: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import"
-        },
-        deleteArchiveForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "DELETE",
-            params: { migration_id: { required: true, type: "integer" } },
-            url: "/user/migrations/:migration_id/archive"
-        },
-        deleteArchiveForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "DELETE",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/archive"
-        },
-        downloadArchiveForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/archive"
-        },
-        getArchiveForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: { migration_id: { required: true, type: "integer" } },
-            url: "/user/migrations/:migration_id/archive"
-        },
-        getArchiveForOrg: {
-            deprecated: "octokit.migrations.getArchiveForOrg() has been renamed to octokit.migrations.downloadArchiveForOrg() (2020-01-27)",
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/archive"
-        },
-        getCommitAuthors: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/import/authors"
-        },
-        getImportProgress: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import"
-        },
-        getLargeFiles: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import/large_files"
-        },
-        getStatusForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: { migration_id: { required: true, type: "integer" } },
-            url: "/user/migrations/:migration_id"
-        },
-        getStatusForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id"
-        },
-        listForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/migrations"
-        },
-        listForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/migrations"
-        },
-        listReposForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/repositories"
-        },
-        listReposForUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/user/:migration_id/repositories"
-        },
-        mapCommitAuthor: {
-            method: "PATCH",
-            params: {
-                author_id: { required: true, type: "integer" },
-                email: { type: "string" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import/authors/:author_id"
-        },
-        setLfsPreference: {
-            method: "PATCH",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                use_lfs: { enum: ["opt_in", "opt_out"], required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import/lfs"
-        },
-        startForAuthenticatedUser: {
-            method: "POST",
-            params: {
-                exclude_attachments: { type: "boolean" },
-                lock_repositories: { type: "boolean" },
-                repositories: { required: true, type: "string[]" }
-            },
-            url: "/user/migrations"
-        },
-        startForOrg: {
-            method: "POST",
-            params: {
-                exclude_attachments: { type: "boolean" },
-                lock_repositories: { type: "boolean" },
-                org: { required: true, type: "string" },
-                repositories: { required: true, type: "string[]" }
-            },
-            url: "/orgs/:org/migrations"
-        },
-        startImport: {
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tfvc_project: { type: "string" },
-                vcs: {
-                    enum: ["subversion", "git", "mercurial", "tfvc"],
-                    type: "string"
-                },
-                vcs_password: { type: "string" },
-                vcs_url: { required: true, type: "string" },
-                vcs_username: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/import"
-        },
-        unlockRepoForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "DELETE",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                repo_name: { required: true, type: "string" }
-            },
-            url: "/user/migrations/:migration_id/repos/:repo_name/lock"
-        },
-        unlockRepoForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "DELETE",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                repo_name: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/repos/:repo_name/lock"
-        },
-        updateImport: {
-            method: "PATCH",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                vcs_password: { type: "string" },
-                vcs_username: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/import"
-        }
-    },
-    oauthAuthorizations: {
-        checkAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.checkAuthorization() has been renamed to octokit.apps.checkAuthorization() (2019-11-05)",
-            method: "GET",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        createAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.createAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization",
-            method: "POST",
-            params: {
-                client_id: { type: "string" },
-                client_secret: { type: "string" },
-                fingerprint: { type: "string" },
-                note: { required: true, type: "string" },
-                note_url: { type: "string" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations"
-        },
-        deleteAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.deleteAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization",
-            method: "DELETE",
-            params: { authorization_id: { required: true, type: "integer" } },
-            url: "/authorizations/:authorization_id"
-        },
-        deleteGrant: {
-            deprecated: "octokit.oauthAuthorizations.deleteGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-a-grant",
-            method: "DELETE",
-            params: { grant_id: { required: true, type: "integer" } },
-            url: "/applications/grants/:grant_id"
-        },
-        getAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.getAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization",
-            method: "GET",
-            params: { authorization_id: { required: true, type: "integer" } },
-            url: "/authorizations/:authorization_id"
-        },
-        getGrant: {
-            deprecated: "octokit.oauthAuthorizations.getGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant",
-            method: "GET",
-            params: { grant_id: { required: true, type: "integer" } },
-            url: "/applications/grants/:grant_id"
-        },
-        getOrCreateAuthorizationForApp: {
-            deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForApp() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app",
-            method: "PUT",
-            params: {
-                client_id: { required: true, type: "string" },
-                client_secret: { required: true, type: "string" },
-                fingerprint: { type: "string" },
-                note: { type: "string" },
-                note_url: { type: "string" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations/clients/:client_id"
-        },
-        getOrCreateAuthorizationForAppAndFingerprint: {
-            deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint",
-            method: "PUT",
-            params: {
-                client_id: { required: true, type: "string" },
-                client_secret: { required: true, type: "string" },
-                fingerprint: { required: true, type: "string" },
-                note: { type: "string" },
-                note_url: { type: "string" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations/clients/:client_id/:fingerprint"
-        },
-        getOrCreateAuthorizationForAppFingerprint: {
-            deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint() has been renamed to octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() (2018-12-27)",
-            method: "PUT",
-            params: {
-                client_id: { required: true, type: "string" },
-                client_secret: { required: true, type: "string" },
-                fingerprint: { required: true, type: "string" },
-                note: { type: "string" },
-                note_url: { type: "string" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations/clients/:client_id/:fingerprint"
-        },
-        listAuthorizations: {
-            deprecated: "octokit.oauthAuthorizations.listAuthorizations() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations",
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/authorizations"
-        },
-        listGrants: {
-            deprecated: "octokit.oauthAuthorizations.listGrants() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-grants",
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/applications/grants"
-        },
-        resetAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.resetAuthorization() has been renamed to octokit.apps.resetAuthorization() (2019-11-05)",
-            method: "POST",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        revokeAuthorizationForApplication: {
-            deprecated: "octokit.oauthAuthorizations.revokeAuthorizationForApplication() has been renamed to octokit.apps.revokeAuthorizationForApplication() (2019-11-05)",
-            method: "DELETE",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        revokeGrantForApplication: {
-            deprecated: "octokit.oauthAuthorizations.revokeGrantForApplication() has been renamed to octokit.apps.revokeGrantForApplication() (2019-11-05)",
-            method: "DELETE",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/grants/:access_token"
-        },
-        updateAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.updateAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization",
-            method: "PATCH",
-            params: {
-                add_scopes: { type: "string[]" },
-                authorization_id: { required: true, type: "integer" },
-                fingerprint: { type: "string" },
-                note: { type: "string" },
-                note_url: { type: "string" },
-                remove_scopes: { type: "string[]" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations/:authorization_id"
-        }
+        cancelImport: ["DELETE /repos/{owner}/{repo}/import"],
+        deleteArchiveForAuthenticatedUser: [
+            "DELETE /user/migrations/{migration_id}/archive",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        deleteArchiveForOrg: [
+            "DELETE /orgs/{org}/migrations/{migration_id}/archive",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        downloadArchiveForOrg: [
+            "GET /orgs/{org}/migrations/{migration_id}/archive",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        getArchiveForAuthenticatedUser: [
+            "GET /user/migrations/{migration_id}/archive",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        getCommitAuthors: ["GET /repos/{owner}/{repo}/import/authors"],
+        getImportStatus: ["GET /repos/{owner}/{repo}/import"],
+        getLargeFiles: ["GET /repos/{owner}/{repo}/import/large_files"],
+        getStatusForAuthenticatedUser: [
+            "GET /user/migrations/{migration_id}",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        getStatusForOrg: [
+            "GET /orgs/{org}/migrations/{migration_id}",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        listForAuthenticatedUser: [
+            "GET /user/migrations",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        listForOrg: [
+            "GET /orgs/{org}/migrations",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        listReposForOrg: [
+            "GET /orgs/{org}/migrations/{migration_id}/repositories",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        listReposForUser: [
+            "GET /user/migrations/{migration_id}/repositories",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        mapCommitAuthor: ["PATCH /repos/{owner}/{repo}/import/authors/{author_id}"],
+        setLfsPreference: ["PATCH /repos/{owner}/{repo}/import/lfs"],
+        startForAuthenticatedUser: ["POST /user/migrations"],
+        startForOrg: ["POST /orgs/{org}/migrations"],
+        startImport: ["PUT /repos/{owner}/{repo}/import"],
+        unlockRepoForAuthenticatedUser: [
+            "DELETE /user/migrations/{migration_id}/repos/{repo_name}/lock",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        unlockRepoForOrg: [
+            "DELETE /orgs/{org}/migrations/{migration_id}/repos/{repo_name}/lock",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        updateImport: ["PATCH /repos/{owner}/{repo}/import"],
     },
     orgs: {
-        addOrUpdateMembership: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                role: { enum: ["admin", "member"], type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/memberships/:username"
-        },
-        blockUser: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/blocks/:username"
-        },
-        checkBlockedUser: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/blocks/:username"
-        },
-        checkMembership: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/members/:username"
-        },
-        checkPublicMembership: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/public_members/:username"
-        },
-        concealMembership: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/public_members/:username"
-        },
-        convertMemberToOutsideCollaborator: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/outside_collaborators/:username"
-        },
-        createHook: {
-            method: "POST",
-            params: {
-                active: { type: "boolean" },
-                config: { required: true, type: "object" },
-                "config.content_type": { type: "string" },
-                "config.insecure_ssl": { type: "string" },
-                "config.secret": { type: "string" },
-                "config.url": { required: true, type: "string" },
-                events: { type: "string[]" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks"
-        },
-        createInvitation: {
-            method: "POST",
-            params: {
-                email: { type: "string" },
-                invitee_id: { type: "integer" },
-                org: { required: true, type: "string" },
-                role: {
-                    enum: ["admin", "direct_member", "billing_manager"],
-                    type: "string"
-                },
-                team_ids: { type: "integer[]" }
-            },
-            url: "/orgs/:org/invitations"
-        },
-        deleteHook: {
-            method: "DELETE",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks/:hook_id"
-        },
-        get: {
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org"
-        },
-        getHook: {
-            method: "GET",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks/:hook_id"
-        },
-        getMembership: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/memberships/:username"
-        },
-        getMembershipForAuthenticatedUser: {
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/user/memberships/orgs/:org"
-        },
-        list: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "integer" }
-            },
-            url: "/organizations"
-        },
-        listBlockedUsers: {
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/blocks"
-        },
-        listForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/orgs"
-        },
-        listForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/orgs"
-        },
-        listHooks: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/hooks"
-        },
-        listInstallations: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/installations"
-        },
-        listInvitationTeams: {
-            method: "GET",
-            params: {
-                invitation_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/invitations/:invitation_id/teams"
-        },
-        listMembers: {
-            method: "GET",
-            params: {
-                filter: { enum: ["2fa_disabled", "all"], type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                role: { enum: ["all", "admin", "member"], type: "string" }
-            },
-            url: "/orgs/:org/members"
-        },
-        listMemberships: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                state: { enum: ["active", "pending"], type: "string" }
-            },
-            url: "/user/memberships/orgs"
-        },
-        listOutsideCollaborators: {
-            method: "GET",
-            params: {
-                filter: { enum: ["2fa_disabled", "all"], type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/outside_collaborators"
-        },
-        listPendingInvitations: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/invitations"
-        },
-        listPublicMembers: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/public_members"
-        },
-        pingHook: {
-            method: "POST",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks/:hook_id/pings"
-        },
-        publicizeMembership: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/public_members/:username"
-        },
-        removeMember: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/members/:username"
-        },
-        removeMembership: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/memberships/:username"
-        },
-        removeOutsideCollaborator: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/outside_collaborators/:username"
-        },
-        unblockUser: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/blocks/:username"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                billing_email: { type: "string" },
-                company: { type: "string" },
-                default_repository_permission: {
-                    enum: ["read", "write", "admin", "none"],
-                    type: "string"
-                },
-                description: { type: "string" },
-                email: { type: "string" },
-                has_organization_projects: { type: "boolean" },
-                has_repository_projects: { type: "boolean" },
-                location: { type: "string" },
-                members_allowed_repository_creation_type: {
-                    enum: ["all", "private", "none"],
-                    type: "string"
-                },
-                members_can_create_internal_repositories: { type: "boolean" },
-                members_can_create_private_repositories: { type: "boolean" },
-                members_can_create_public_repositories: { type: "boolean" },
-                members_can_create_repositories: { type: "boolean" },
-                name: { type: "string" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org"
-        },
-        updateHook: {
-            method: "PATCH",
-            params: {
-                active: { type: "boolean" },
-                config: { type: "object" },
-                "config.content_type": { type: "string" },
-                "config.insecure_ssl": { type: "string" },
-                "config.secret": { type: "string" },
-                "config.url": { required: true, type: "string" },
-                events: { type: "string[]" },
-                hook_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks/:hook_id"
-        },
-        updateMembership: {
-            method: "PATCH",
-            params: {
-                org: { required: true, type: "string" },
-                state: { enum: ["active"], required: true, type: "string" }
-            },
-            url: "/user/memberships/orgs/:org"
-        }
+        blockUser: ["PUT /orgs/{org}/blocks/{username}"],
+        checkBlockedUser: ["GET /orgs/{org}/blocks/{username}"],
+        checkMembershipForUser: ["GET /orgs/{org}/members/{username}"],
+        checkPublicMembershipForUser: ["GET /orgs/{org}/public_members/{username}"],
+        convertMemberToOutsideCollaborator: [
+            "PUT /orgs/{org}/outside_collaborators/{username}",
+        ],
+        createInvitation: ["POST /orgs/{org}/invitations"],
+        createWebhook: ["POST /orgs/{org}/hooks"],
+        deleteWebhook: ["DELETE /orgs/{org}/hooks/{hook_id}"],
+        get: ["GET /orgs/{org}"],
+        getMembershipForAuthenticatedUser: ["GET /user/memberships/orgs/{org}"],
+        getMembershipForUser: ["GET /orgs/{org}/memberships/{username}"],
+        getWebhook: ["GET /orgs/{org}/hooks/{hook_id}"],
+        list: ["GET /organizations"],
+        listAppInstallations: [
+            "GET /orgs/{org}/installations",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listBlockedUsers: ["GET /orgs/{org}/blocks"],
+        listForAuthenticatedUser: ["GET /user/orgs"],
+        listForUser: ["GET /users/{username}/orgs"],
+        listInvitationTeams: ["GET /orgs/{org}/invitations/{invitation_id}/teams"],
+        listMembers: ["GET /orgs/{org}/members"],
+        listMembershipsForAuthenticatedUser: ["GET /user/memberships/orgs"],
+        listOutsideCollaborators: ["GET /orgs/{org}/outside_collaborators"],
+        listPendingInvitations: ["GET /orgs/{org}/invitations"],
+        listPublicMembers: ["GET /orgs/{org}/public_members"],
+        listWebhooks: ["GET /orgs/{org}/hooks"],
+        pingWebhook: ["POST /orgs/{org}/hooks/{hook_id}/pings"],
+        removeMember: ["DELETE /orgs/{org}/members/{username}"],
+        removeMembershipForUser: ["DELETE /orgs/{org}/memberships/{username}"],
+        removeOutsideCollaborator: [
+            "DELETE /orgs/{org}/outside_collaborators/{username}",
+        ],
+        removePublicMembershipForAuthenticatedUser: [
+            "DELETE /orgs/{org}/public_members/{username}",
+        ],
+        setMembershipForUser: ["PUT /orgs/{org}/memberships/{username}"],
+        setPublicMembershipForAuthenticatedUser: [
+            "PUT /orgs/{org}/public_members/{username}",
+        ],
+        unblockUser: ["DELETE /orgs/{org}/blocks/{username}"],
+        update: ["PATCH /orgs/{org}"],
+        updateMembershipForAuthenticatedUser: [
+            "PATCH /user/memberships/orgs/{org}",
+        ],
+        updateWebhook: ["PATCH /orgs/{org}/hooks/{hook_id}"],
     },
     projects: {
-        addCollaborator: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PUT",
-            params: {
-                permission: { enum: ["read", "write", "admin"], type: "string" },
-                project_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/projects/:project_id/collaborators/:username"
-        },
-        createCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                column_id: { required: true, type: "integer" },
-                content_id: { type: "integer" },
-                content_type: { type: "string" },
-                note: { type: "string" }
-            },
-            url: "/projects/columns/:column_id/cards"
-        },
-        createColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                name: { required: true, type: "string" },
-                project_id: { required: true, type: "integer" }
-            },
-            url: "/projects/:project_id/columns"
-        },
-        createForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                name: { required: true, type: "string" }
-            },
-            url: "/user/projects"
-        },
-        createForOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/projects"
-        },
-        createForRepo: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/projects"
-        },
-        delete: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "DELETE",
-            params: { project_id: { required: true, type: "integer" } },
-            url: "/projects/:project_id"
-        },
-        deleteCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "DELETE",
-            params: { card_id: { required: true, type: "integer" } },
-            url: "/projects/columns/cards/:card_id"
-        },
-        deleteColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "DELETE",
-            params: { column_id: { required: true, type: "integer" } },
-            url: "/projects/columns/:column_id"
-        },
-        get: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: { project_id: { required: true, type: "integer" } },
-            url: "/projects/:project_id"
-        },
-        getCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: { card_id: { required: true, type: "integer" } },
-            url: "/projects/columns/cards/:card_id"
-        },
-        getColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: { column_id: { required: true, type: "integer" } },
-            url: "/projects/columns/:column_id"
-        },
-        listCards: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                archived_state: {
-                    enum: ["all", "archived", "not_archived"],
-                    type: "string"
-                },
-                column_id: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/projects/columns/:column_id/cards"
-        },
-        listCollaborators: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                affiliation: { enum: ["outside", "direct", "all"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                project_id: { required: true, type: "integer" }
-            },
-            url: "/projects/:project_id/collaborators"
-        },
-        listColumns: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                project_id: { required: true, type: "integer" }
-            },
-            url: "/projects/:project_id/columns"
-        },
-        listForOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/orgs/:org/projects"
-        },
-        listForRepo: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/projects"
-        },
-        listForUser: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                state: { enum: ["open", "closed", "all"], type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/projects"
-        },
-        moveCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                card_id: { required: true, type: "integer" },
-                column_id: { type: "integer" },
-                position: {
-                    required: true,
-                    type: "string",
-                    validation: "^(top|bottom|after:\\d+)$"
-                }
-            },
-            url: "/projects/columns/cards/:card_id/moves"
-        },
-        moveColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                column_id: { required: true, type: "integer" },
-                position: {
-                    required: true,
-                    type: "string",
-                    validation: "^(first|last|after:\\d+)$"
-                }
-            },
-            url: "/projects/columns/:column_id/moves"
-        },
-        removeCollaborator: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "DELETE",
-            params: {
-                project_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/projects/:project_id/collaborators/:username"
-        },
-        reviewUserPermissionLevel: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                project_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/projects/:project_id/collaborators/:username/permission"
-        },
-        update: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                name: { type: "string" },
-                organization_permission: { type: "string" },
-                private: { type: "boolean" },
-                project_id: { required: true, type: "integer" },
-                state: { enum: ["open", "closed"], type: "string" }
-            },
-            url: "/projects/:project_id"
-        },
-        updateCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PATCH",
-            params: {
-                archived: { type: "boolean" },
-                card_id: { required: true, type: "integer" },
-                note: { type: "string" }
-            },
-            url: "/projects/columns/cards/:card_id"
-        },
-        updateColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PATCH",
-            params: {
-                column_id: { required: true, type: "integer" },
-                name: { required: true, type: "string" }
-            },
-            url: "/projects/columns/:column_id"
-        }
+        addCollaborator: [
+            "PUT /projects/{project_id}/collaborators/{username}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createCard: [
+            "POST /projects/columns/{column_id}/cards",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createColumn: [
+            "POST /projects/{project_id}/columns",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createForAuthenticatedUser: [
+            "POST /user/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createForOrg: [
+            "POST /orgs/{org}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createForRepo: [
+            "POST /repos/{owner}/{repo}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        delete: [
+            "DELETE /projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        deleteCard: [
+            "DELETE /projects/columns/cards/{card_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        deleteColumn: [
+            "DELETE /projects/columns/{column_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        get: [
+            "GET /projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        getCard: [
+            "GET /projects/columns/cards/{card_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        getColumn: [
+            "GET /projects/columns/{column_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        getPermissionForUser: [
+            "GET /projects/{project_id}/collaborators/{username}/permission",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listCards: [
+            "GET /projects/columns/{column_id}/cards",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listCollaborators: [
+            "GET /projects/{project_id}/collaborators",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listColumns: [
+            "GET /projects/{project_id}/columns",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listForOrg: [
+            "GET /orgs/{org}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listForRepo: [
+            "GET /repos/{owner}/{repo}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listForUser: [
+            "GET /users/{username}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        moveCard: [
+            "POST /projects/columns/cards/{card_id}/moves",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        moveColumn: [
+            "POST /projects/columns/{column_id}/moves",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        removeCollaborator: [
+            "DELETE /projects/{project_id}/collaborators/{username}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        update: [
+            "PATCH /projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        updateCard: [
+            "PATCH /projects/columns/cards/{card_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        updateColumn: [
+            "PATCH /projects/columns/{column_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
     },
     pulls: {
-        checkIfMerged: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/merge"
-        },
-        create: {
-            method: "POST",
-            params: {
-                base: { required: true, type: "string" },
-                body: { type: "string" },
-                draft: { type: "boolean" },
-                head: { required: true, type: "string" },
-                maintainer_can_modify: { type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                title: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls"
-        },
-        createComment: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                commit_id: { required: true, type: "string" },
-                in_reply_to: {
-                    deprecated: true,
-                    description: "The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.",
-                    type: "integer"
-                },
-                line: { type: "integer" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                position: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                side: { enum: ["LEFT", "RIGHT"], type: "string" },
-                start_line: { type: "integer" },
-                start_side: { enum: ["LEFT", "RIGHT", "side"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/comments"
-        },
-        createCommentReply: {
-            deprecated: "octokit.pulls.createCommentReply() has been renamed to octokit.pulls.createComment() (2019-09-09)",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                commit_id: { required: true, type: "string" },
-                in_reply_to: {
-                    deprecated: true,
-                    description: "The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.",
-                    type: "integer"
-                },
-                line: { type: "integer" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                position: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                side: { enum: ["LEFT", "RIGHT"], type: "string" },
-                start_line: { type: "integer" },
-                start_side: { enum: ["LEFT", "RIGHT", "side"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/comments"
-        },
-        createFromIssue: {
-            deprecated: "octokit.pulls.createFromIssue() is deprecated, see https://developer.github.com/v3/pulls/#create-a-pull-request",
-            method: "POST",
-            params: {
-                base: { required: true, type: "string" },
-                draft: { type: "boolean" },
-                head: { required: true, type: "string" },
-                issue: { required: true, type: "integer" },
-                maintainer_can_modify: { type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls"
-        },
-        createReview: {
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                comments: { type: "object[]" },
-                "comments[].body": { required: true, type: "string" },
-                "comments[].path": { required: true, type: "string" },
-                "comments[].position": { required: true, type: "integer" },
-                commit_id: { type: "string" },
-                event: {
-                    enum: ["APPROVE", "REQUEST_CHANGES", "COMMENT"],
-                    type: "string"
-                },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews"
-        },
-        createReviewCommentReply: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies"
-        },
-        createReviewRequest: {
-            method: "POST",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                reviewers: { type: "string[]" },
-                team_reviewers: { type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers"
-        },
-        deleteComment: {
-            method: "DELETE",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id"
-        },
-        deletePendingReview: {
-            method: "DELETE",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"
-        },
-        deleteReviewRequest: {
-            method: "DELETE",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                reviewers: { type: "string[]" },
-                team_reviewers: { type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers"
-        },
-        dismissReview: {
-            method: "PUT",
-            params: {
-                message: { required: true, type: "string" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals"
-        },
-        get: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number"
-        },
-        getComment: {
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id"
-        },
-        getCommentsForReview: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments"
-        },
-        getReview: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"
-        },
-        list: {
-            method: "GET",
-            params: {
-                base: { type: "string" },
-                direction: { enum: ["asc", "desc"], type: "string" },
-                head: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sort: {
-                    enum: ["created", "updated", "popularity", "long-running"],
-                    type: "string"
-                },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls"
-        },
-        listComments: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/comments"
-        },
-        listCommentsForRepo: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments"
-        },
-        listCommits: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/commits"
-        },
-        listFiles: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/files"
-        },
-        listReviewRequests: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers"
-        },
-        listReviews: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews"
-        },
-        merge: {
-            method: "PUT",
-            params: {
-                commit_message: { type: "string" },
-                commit_title: { type: "string" },
-                merge_method: { enum: ["merge", "squash", "rebase"], type: "string" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/merge"
-        },
-        submitReview: {
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                event: {
-                    enum: ["APPROVE", "REQUEST_CHANGES", "COMMENT"],
-                    required: true,
-                    type: "string"
-                },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                base: { type: "string" },
-                body: { type: "string" },
-                maintainer_can_modify: { type: "boolean" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed"], type: "string" },
-                title: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number"
-        },
-        updateBranch: {
-            headers: { accept: "application/vnd.github.lydian-preview+json" },
-            method: "PUT",
-            params: {
-                expected_head_sha: { type: "string" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/update-branch"
-        },
-        updateComment: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id"
-        },
-        updateReview: {
-            method: "PUT",
-            params: {
-                body: { required: true, type: "string" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"
-        }
+        checkIfMerged: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/merge"],
+        create: ["POST /repos/{owner}/{repo}/pulls"],
+        createReplyForReviewComment: [
+            "POST /repos/{owner}/{repo}/pulls/{pull_number}/comments/{comment_id}/replies",
+        ],
+        createReview: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews"],
+        createReviewComment: [
+            "POST /repos/{owner}/{repo}/pulls/{pull_number}/comments",
+        ],
+        deletePendingReview: [
+            "DELETE /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}",
+        ],
+        deleteReviewComment: [
+            "DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}",
+        ],
+        dismissReview: [
+            "PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/dismissals",
+        ],
+        get: ["GET /repos/{owner}/{repo}/pulls/{pull_number}"],
+        getReview: [
+            "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}",
+        ],
+        getReviewComment: ["GET /repos/{owner}/{repo}/pulls/comments/{comment_id}"],
+        list: ["GET /repos/{owner}/{repo}/pulls"],
+        listCommentsForReview: [
+            "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments",
+        ],
+        listCommits: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/commits"],
+        listFiles: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/files"],
+        listRequestedReviewers: [
+            "GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers",
+        ],
+        listReviewComments: [
+            "GET /repos/{owner}/{repo}/pulls/{pull_number}/comments",
+        ],
+        listReviewCommentsForRepo: ["GET /repos/{owner}/{repo}/pulls/comments"],
+        listReviews: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews"],
+        merge: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/merge"],
+        removeRequestedReviewers: [
+            "DELETE /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers",
+        ],
+        requestReviewers: [
+            "POST /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers",
+        ],
+        submitReview: [
+            "POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/events",
+        ],
+        update: ["PATCH /repos/{owner}/{repo}/pulls/{pull_number}"],
+        updateBranch: [
+            "PUT /repos/{owner}/{repo}/pulls/{pull_number}/update-branch",
+            { mediaType: { previews: ["lydian"] } },
+        ],
+        updateReview: [
+            "PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}",
+        ],
+        updateReviewComment: [
+            "PATCH /repos/{owner}/{repo}/pulls/comments/{comment_id}",
+        ],
     },
-    rateLimit: { get: { method: "GET", params: {}, url: "/rate_limit" } },
+    rateLimit: { get: ["GET /rate_limit"] },
     reactions: {
-        createForCommitComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id/reactions"
-        },
-        createForIssue: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/reactions"
-        },
-        createForIssueComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id/reactions"
-        },
-        createForPullRequestReviewComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id/reactions"
-        },
-        createForTeamDiscussion: {
-            deprecated: "octokit.reactions.createForTeamDiscussion() has been renamed to octokit.reactions.createForTeamDiscussionLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/reactions"
-        },
-        createForTeamDiscussionComment: {
-            deprecated: "octokit.reactions.createForTeamDiscussionComment() has been renamed to octokit.reactions.createForTeamDiscussionCommentLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        createForTeamDiscussionCommentInOrg: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        createForTeamDiscussionCommentLegacy: {
-            deprecated: "octokit.reactions.createForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        createForTeamDiscussionInOrg: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"
-        },
-        createForTeamDiscussionLegacy: {
-            deprecated: "octokit.reactions.createForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/reactions"
-        },
-        delete: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "DELETE",
-            params: { reaction_id: { required: true, type: "integer" } },
-            url: "/reactions/:reaction_id"
-        },
-        listForCommitComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id/reactions"
-        },
-        listForIssue: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/reactions"
-        },
-        listForIssueComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id/reactions"
-        },
-        listForPullRequestReviewComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id/reactions"
-        },
-        listForTeamDiscussion: {
-            deprecated: "octokit.reactions.listForTeamDiscussion() has been renamed to octokit.reactions.listForTeamDiscussionLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/reactions"
-        },
-        listForTeamDiscussionComment: {
-            deprecated: "octokit.reactions.listForTeamDiscussionComment() has been renamed to octokit.reactions.listForTeamDiscussionCommentLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        listForTeamDiscussionCommentInOrg: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        listForTeamDiscussionCommentLegacy: {
-            deprecated: "octokit.reactions.listForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        listForTeamDiscussionInOrg: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"
-        },
-        listForTeamDiscussionLegacy: {
-            deprecated: "octokit.reactions.listForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/reactions"
-        }
+        createForCommitComment: [
+            "POST /repos/{owner}/{repo}/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForIssue: [
+            "POST /repos/{owner}/{repo}/issues/{issue_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForIssueComment: [
+            "POST /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForPullRequestReviewComment: [
+            "POST /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForTeamDiscussionCommentInOrg: [
+            "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForTeamDiscussionInOrg: [
+            "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForCommitComment: [
+            "DELETE /repos/{owner}/{repo}/comments/{comment_id}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForIssue: [
+            "DELETE /repos/{owner}/{repo}/issues/{issue_number}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForIssueComment: [
+            "DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForPullRequestComment: [
+            "DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForTeamDiscussion: [
+            "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForTeamDiscussionComment: [
+            "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteLegacy: [
+            "DELETE /reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+            {
+                deprecated: "octokit.reactions.deleteLegacy() is deprecated, see https://developer.github.com/v3/reactions/#delete-a-reaction-legacy",
+            },
+        ],
+        listForCommitComment: [
+            "GET /repos/{owner}/{repo}/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForIssue: [
+            "GET /repos/{owner}/{repo}/issues/{issue_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForIssueComment: [
+            "GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForPullRequestReviewComment: [
+            "GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForTeamDiscussionCommentInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForTeamDiscussionInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
     },
     repos: {
-        acceptInvitation: {
-            method: "PATCH",
-            params: { invitation_id: { required: true, type: "integer" } },
-            url: "/user/repository_invitations/:invitation_id"
-        },
-        addCollaborator: {
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                repo: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators/:username"
-        },
-        addDeployKey: {
-            method: "POST",
-            params: {
-                key: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                read_only: { type: "boolean" },
-                repo: { required: true, type: "string" },
-                title: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/keys"
-        },
-        addProtectedBranchAdminEnforcement: {
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins"
-        },
-        addProtectedBranchAppRestrictions: {
-            method: "POST",
-            params: {
-                apps: { mapTo: "data", required: true, type: "string[]" },
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        addProtectedBranchRequiredSignatures: {
-            headers: { accept: "application/vnd.github.zzzax-preview+json" },
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures"
-        },
-        addProtectedBranchRequiredStatusChecksContexts: {
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                contexts: { mapTo: "data", required: true, type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-        },
-        addProtectedBranchTeamRestrictions: {
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                teams: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        addProtectedBranchUserRestrictions: {
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                users: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        checkCollaborator: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators/:username"
-        },
-        checkVulnerabilityAlerts: {
-            headers: { accept: "application/vnd.github.dorian-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/vulnerability-alerts"
-        },
-        compareCommits: {
-            method: "GET",
-            params: {
-                base: { required: true, type: "string" },
-                head: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/compare/:base...:head"
-        },
-        createCommitComment: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                commit_sha: { required: true, type: "string" },
-                line: { type: "integer" },
-                owner: { required: true, type: "string" },
-                path: { type: "string" },
-                position: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sha: { alias: "commit_sha", deprecated: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:commit_sha/comments"
-        },
-        createDeployment: {
-            method: "POST",
-            params: {
-                auto_merge: { type: "boolean" },
-                description: { type: "string" },
-                environment: { type: "string" },
-                owner: { required: true, type: "string" },
-                payload: { type: "string" },
-                production_environment: { type: "boolean" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                required_contexts: { type: "string[]" },
-                task: { type: "string" },
-                transient_environment: { type: "boolean" }
-            },
-            url: "/repos/:owner/:repo/deployments"
-        },
-        createDeploymentStatus: {
-            method: "POST",
-            params: {
-                auto_inactive: { type: "boolean" },
-                deployment_id: { required: true, type: "integer" },
-                description: { type: "string" },
-                environment: { enum: ["production", "staging", "qa"], type: "string" },
-                environment_url: { type: "string" },
-                log_url: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                state: {
-                    enum: [
-                        "error",
-                        "failure",
-                        "inactive",
-                        "in_progress",
-                        "queued",
-                        "pending",
-                        "success"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                target_url: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/deployments/:deployment_id/statuses"
-        },
-        createDispatchEvent: {
-            method: "POST",
-            params: {
-                client_payload: { type: "object" },
-                event_type: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/dispatches"
-        },
-        createFile: {
-            deprecated: "octokit.repos.createFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)",
-            method: "PUT",
-            params: {
-                author: { type: "object" },
-                "author.email": { required: true, type: "string" },
-                "author.name": { required: true, type: "string" },
-                branch: { type: "string" },
-                committer: { type: "object" },
-                "committer.email": { required: true, type: "string" },
-                "committer.name": { required: true, type: "string" },
-                content: { required: true, type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        createForAuthenticatedUser: {
-            method: "POST",
-            params: {
-                allow_merge_commit: { type: "boolean" },
-                allow_rebase_merge: { type: "boolean" },
-                allow_squash_merge: { type: "boolean" },
-                auto_init: { type: "boolean" },
-                delete_branch_on_merge: { type: "boolean" },
-                description: { type: "string" },
-                gitignore_template: { type: "string" },
-                has_issues: { type: "boolean" },
-                has_projects: { type: "boolean" },
-                has_wiki: { type: "boolean" },
-                homepage: { type: "string" },
-                is_template: { type: "boolean" },
-                license_template: { type: "string" },
-                name: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_id: { type: "integer" },
-                visibility: {
-                    enum: ["public", "private", "visibility", "internal"],
-                    type: "string"
-                }
-            },
-            url: "/user/repos"
-        },
-        createFork: {
-            method: "POST",
-            params: {
-                organization: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/forks"
-        },
-        createHook: {
-            method: "POST",
-            params: {
-                active: { type: "boolean" },
-                config: { required: true, type: "object" },
-                "config.content_type": { type: "string" },
-                "config.insecure_ssl": { type: "string" },
-                "config.secret": { type: "string" },
-                "config.url": { required: true, type: "string" },
-                events: { type: "string[]" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks"
-        },
-        createInOrg: {
-            method: "POST",
-            params: {
-                allow_merge_commit: { type: "boolean" },
-                allow_rebase_merge: { type: "boolean" },
-                allow_squash_merge: { type: "boolean" },
-                auto_init: { type: "boolean" },
-                delete_branch_on_merge: { type: "boolean" },
-                description: { type: "string" },
-                gitignore_template: { type: "string" },
-                has_issues: { type: "boolean" },
-                has_projects: { type: "boolean" },
-                has_wiki: { type: "boolean" },
-                homepage: { type: "string" },
-                is_template: { type: "boolean" },
-                license_template: { type: "string" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_id: { type: "integer" },
-                visibility: {
-                    enum: ["public", "private", "visibility", "internal"],
-                    type: "string"
-                }
-            },
-            url: "/orgs/:org/repos"
-        },
-        createOrUpdateFile: {
-            method: "PUT",
-            params: {
-                author: { type: "object" },
-                "author.email": { required: true, type: "string" },
-                "author.name": { required: true, type: "string" },
-                branch: { type: "string" },
-                committer: { type: "object" },
-                "committer.email": { required: true, type: "string" },
-                "committer.name": { required: true, type: "string" },
-                content: { required: true, type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        createRelease: {
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                draft: { type: "boolean" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                prerelease: { type: "boolean" },
-                repo: { required: true, type: "string" },
-                tag_name: { required: true, type: "string" },
-                target_commitish: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases"
-        },
-        createStatus: {
-            method: "POST",
-            params: {
-                context: { type: "string" },
-                description: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { required: true, type: "string" },
-                state: {
-                    enum: ["error", "failure", "pending", "success"],
-                    required: true,
-                    type: "string"
-                },
-                target_url: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/statuses/:sha"
-        },
-        createUsingTemplate: {
-            headers: { accept: "application/vnd.github.baptiste-preview+json" },
-            method: "POST",
-            params: {
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                owner: { type: "string" },
-                private: { type: "boolean" },
-                template_owner: { required: true, type: "string" },
-                template_repo: { required: true, type: "string" }
-            },
-            url: "/repos/:template_owner/:template_repo/generate"
-        },
-        declineInvitation: {
-            method: "DELETE",
-            params: { invitation_id: { required: true, type: "integer" } },
-            url: "/user/repository_invitations/:invitation_id"
-        },
-        delete: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo"
-        },
-        deleteCommitComment: {
-            method: "DELETE",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id"
-        },
-        deleteDownload: {
-            method: "DELETE",
-            params: {
-                download_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/downloads/:download_id"
-        },
-        deleteFile: {
-            method: "DELETE",
-            params: {
-                author: { type: "object" },
-                "author.email": { type: "string" },
-                "author.name": { type: "string" },
-                branch: { type: "string" },
-                committer: { type: "object" },
-                "committer.email": { type: "string" },
-                "committer.name": { type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        deleteHook: {
-            method: "DELETE",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id"
-        },
-        deleteInvitation: {
-            method: "DELETE",
-            params: {
-                invitation_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/invitations/:invitation_id"
-        },
-        deleteRelease: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                release_id: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/:release_id"
-        },
-        deleteReleaseAsset: {
-            method: "DELETE",
-            params: {
-                asset_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/assets/:asset_id"
-        },
-        disableAutomatedSecurityFixes: {
-            headers: { accept: "application/vnd.github.london-preview+json" },
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/automated-security-fixes"
-        },
-        disablePagesSite: {
-            headers: { accept: "application/vnd.github.switcheroo-preview+json" },
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages"
-        },
-        disableVulnerabilityAlerts: {
-            headers: { accept: "application/vnd.github.dorian-preview+json" },
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/vulnerability-alerts"
-        },
-        enableAutomatedSecurityFixes: {
-            headers: { accept: "application/vnd.github.london-preview+json" },
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/automated-security-fixes"
-        },
-        enablePagesSite: {
-            headers: { accept: "application/vnd.github.switcheroo-preview+json" },
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                source: { type: "object" },
-                "source.branch": { enum: ["master", "gh-pages"], type: "string" },
-                "source.path": { type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages"
-        },
-        enableVulnerabilityAlerts: {
-            headers: { accept: "application/vnd.github.dorian-preview+json" },
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/vulnerability-alerts"
-        },
-        get: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo"
-        },
-        getAppsWithAccessToProtectedBranch: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        getArchiveLink: {
-            method: "GET",
-            params: {
-                archive_format: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/:archive_format/:ref"
-        },
-        getBranch: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch"
-        },
-        getBranchProtection: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection"
-        },
-        getClones: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                per: { enum: ["day", "week"], type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/traffic/clones"
-        },
-        getCodeFrequencyStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/code_frequency"
-        },
-        getCollaboratorPermissionLevel: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators/:username/permission"
-        },
-        getCombinedStatusForRef: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref/status"
-        },
-        getCommit: {
-            method: "GET",
-            params: {
-                commit_sha: { alias: "ref", deprecated: true, type: "string" },
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { alias: "ref", deprecated: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref"
-        },
-        getCommitActivityStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/commit_activity"
-        },
-        getCommitComment: {
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id"
-        },
-        getCommitRefSha: {
-            deprecated: "octokit.repos.getCommitRefSha() is deprecated, see https://developer.github.com/v3/repos/commits/#get-a-single-commit",
-            headers: { accept: "application/vnd.github.v3.sha" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref"
-        },
-        getContents: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                ref: { type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        getContributorsStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/contributors"
-        },
-        getDeployKey: {
-            method: "GET",
-            params: {
-                key_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/keys/:key_id"
-        },
-        getDeployment: {
-            method: "GET",
-            params: {
-                deployment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/deployments/:deployment_id"
-        },
-        getDeploymentStatus: {
-            method: "GET",
-            params: {
-                deployment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                status_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id"
-        },
-        getDownload: {
-            method: "GET",
-            params: {
-                download_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/downloads/:download_id"
-        },
-        getHook: {
-            method: "GET",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id"
-        },
-        getLatestPagesBuild: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages/builds/latest"
-        },
-        getLatestRelease: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/latest"
-        },
-        getPages: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages"
-        },
-        getPagesBuild: {
-            method: "GET",
-            params: {
-                build_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages/builds/:build_id"
-        },
-        getParticipationStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/participation"
-        },
-        getProtectedBranchAdminEnforcement: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins"
-        },
-        getProtectedBranchPullRequestReviewEnforcement: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-        },
-        getProtectedBranchRequiredSignatures: {
-            headers: { accept: "application/vnd.github.zzzax-preview+json" },
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures"
-        },
-        getProtectedBranchRequiredStatusChecks: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks"
-        },
-        getProtectedBranchRestrictions: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions"
-        },
-        getPunchCardStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/punch_card"
-        },
-        getReadme: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/readme"
-        },
-        getRelease: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                release_id: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/:release_id"
-        },
-        getReleaseAsset: {
-            method: "GET",
-            params: {
-                asset_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/assets/:asset_id"
-        },
-        getReleaseByTag: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tag: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/tags/:tag"
-        },
-        getTeamsWithAccessToProtectedBranch: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        getTopPaths: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/traffic/popular/paths"
-        },
-        getTopReferrers: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/traffic/popular/referrers"
-        },
-        getUsersWithAccessToProtectedBranch: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        getViews: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                per: { enum: ["day", "week"], type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/traffic/views"
-        },
-        list: {
-            method: "GET",
-            params: {
-                affiliation: { type: "string" },
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: {
-                    enum: ["created", "updated", "pushed", "full_name"],
-                    type: "string"
-                },
-                type: {
-                    enum: ["all", "owner", "public", "private", "member"],
-                    type: "string"
-                },
-                visibility: { enum: ["all", "public", "private"], type: "string" }
-            },
-            url: "/user/repos"
-        },
-        listAppsWithAccessToProtectedBranch: {
-            deprecated: "octokit.repos.listAppsWithAccessToProtectedBranch() has been renamed to octokit.repos.getAppsWithAccessToProtectedBranch() (2019-09-13)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        listAssetsForRelease: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                release_id: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/:release_id/assets"
-        },
-        listBranches: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                protected: { type: "boolean" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches"
-        },
-        listBranchesForHeadCommit: {
-            headers: { accept: "application/vnd.github.groot-preview+json" },
-            method: "GET",
-            params: {
-                commit_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:commit_sha/branches-where-head"
-        },
-        listCollaborators: {
-            method: "GET",
-            params: {
-                affiliation: { enum: ["outside", "direct", "all"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators"
-        },
-        listCommentsForCommit: {
-            method: "GET",
-            params: {
-                commit_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { alias: "commit_sha", deprecated: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:commit_sha/comments"
-        },
-        listCommitComments: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments"
-        },
-        listCommits: {
-            method: "GET",
-            params: {
-                author: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                path: { type: "string" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" },
-                since: { type: "string" },
-                until: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits"
-        },
-        listContributors: {
-            method: "GET",
-            params: {
-                anon: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/contributors"
-        },
-        listDeployKeys: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/keys"
-        },
-        listDeploymentStatuses: {
-            method: "GET",
-            params: {
-                deployment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/deployments/:deployment_id/statuses"
-        },
-        listDeployments: {
-            method: "GET",
-            params: {
-                environment: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" },
-                task: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/deployments"
-        },
-        listDownloads: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/downloads"
-        },
-        listForOrg: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: {
-                    enum: ["created", "updated", "pushed", "full_name"],
-                    type: "string"
-                },
-                type: {
-                    enum: [
-                        "all",
-                        "public",
-                        "private",
-                        "forks",
-                        "sources",
-                        "member",
-                        "internal"
-                    ],
-                    type: "string"
-                }
-            },
-            url: "/orgs/:org/repos"
-        },
-        listForUser: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: {
-                    enum: ["created", "updated", "pushed", "full_name"],
-                    type: "string"
-                },
-                type: { enum: ["all", "owner", "member"], type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/repos"
-        },
-        listForks: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sort: { enum: ["newest", "oldest", "stargazers"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/forks"
-        },
-        listHooks: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks"
-        },
-        listInvitations: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/invitations"
-        },
-        listInvitationsForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/repository_invitations"
-        },
-        listLanguages: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/languages"
-        },
-        listPagesBuilds: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages/builds"
-        },
-        listProtectedBranchRequiredStatusChecksContexts: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-        },
-        listProtectedBranchTeamRestrictions: {
-            deprecated: "octokit.repos.listProtectedBranchTeamRestrictions() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-09)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        listProtectedBranchUserRestrictions: {
-            deprecated: "octokit.repos.listProtectedBranchUserRestrictions() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-09)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        listPublic: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "integer" }
-            },
-            url: "/repositories"
-        },
-        listPullRequestsAssociatedWithCommit: {
-            headers: { accept: "application/vnd.github.groot-preview+json" },
-            method: "GET",
-            params: {
-                commit_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:commit_sha/pulls"
-        },
-        listReleases: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases"
-        },
-        listStatusesForRef: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref/statuses"
-        },
-        listTags: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/tags"
-        },
-        listTeams: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/teams"
-        },
-        listTeamsWithAccessToProtectedBranch: {
-            deprecated: "octokit.repos.listTeamsWithAccessToProtectedBranch() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-13)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        listTopics: {
-            headers: { accept: "application/vnd.github.mercy-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/topics"
-        },
-        listUsersWithAccessToProtectedBranch: {
-            deprecated: "octokit.repos.listUsersWithAccessToProtectedBranch() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-13)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        merge: {
-            method: "POST",
-            params: {
-                base: { required: true, type: "string" },
-                commit_message: { type: "string" },
-                head: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/merges"
-        },
-        pingHook: {
-            method: "POST",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id/pings"
-        },
-        removeBranchProtection: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection"
-        },
-        removeCollaborator: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators/:username"
-        },
-        removeDeployKey: {
-            method: "DELETE",
-            params: {
-                key_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/keys/:key_id"
-        },
-        removeProtectedBranchAdminEnforcement: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins"
-        },
-        removeProtectedBranchAppRestrictions: {
-            method: "DELETE",
-            params: {
-                apps: { mapTo: "data", required: true, type: "string[]" },
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        removeProtectedBranchPullRequestReviewEnforcement: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-        },
-        removeProtectedBranchRequiredSignatures: {
-            headers: { accept: "application/vnd.github.zzzax-preview+json" },
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures"
-        },
-        removeProtectedBranchRequiredStatusChecks: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks"
-        },
-        removeProtectedBranchRequiredStatusChecksContexts: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                contexts: { mapTo: "data", required: true, type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-        },
-        removeProtectedBranchRestrictions: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions"
-        },
-        removeProtectedBranchTeamRestrictions: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                teams: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        removeProtectedBranchUserRestrictions: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                users: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        replaceProtectedBranchAppRestrictions: {
-            method: "PUT",
-            params: {
-                apps: { mapTo: "data", required: true, type: "string[]" },
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        replaceProtectedBranchRequiredStatusChecksContexts: {
-            method: "PUT",
-            params: {
-                branch: { required: true, type: "string" },
-                contexts: { mapTo: "data", required: true, type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-        },
-        replaceProtectedBranchTeamRestrictions: {
-            method: "PUT",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                teams: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        replaceProtectedBranchUserRestrictions: {
-            method: "PUT",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                users: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        replaceTopics: {
-            headers: { accept: "application/vnd.github.mercy-preview+json" },
-            method: "PUT",
-            params: {
-                names: { required: true, type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/topics"
-        },
-        requestPageBuild: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages/builds"
-        },
-        retrieveCommunityProfileMetrics: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/community/profile"
-        },
-        testPushHook: {
-            method: "POST",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id/tests"
-        },
-        transfer: {
-            method: "POST",
-            params: {
-                new_owner: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_ids: { type: "integer[]" }
-            },
-            url: "/repos/:owner/:repo/transfer"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                allow_merge_commit: { type: "boolean" },
-                allow_rebase_merge: { type: "boolean" },
-                allow_squash_merge: { type: "boolean" },
-                archived: { type: "boolean" },
-                default_branch: { type: "string" },
-                delete_branch_on_merge: { type: "boolean" },
-                description: { type: "string" },
-                has_issues: { type: "boolean" },
-                has_projects: { type: "boolean" },
-                has_wiki: { type: "boolean" },
-                homepage: { type: "string" },
-                is_template: { type: "boolean" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                private: { type: "boolean" },
-                repo: { required: true, type: "string" },
-                visibility: {
-                    enum: ["public", "private", "visibility", "internal"],
-                    type: "string"
-                }
-            },
-            url: "/repos/:owner/:repo"
-        },
-        updateBranchProtection: {
-            method: "PUT",
-            params: {
-                allow_deletions: { type: "boolean" },
-                allow_force_pushes: { allowNull: true, type: "boolean" },
-                branch: { required: true, type: "string" },
-                enforce_admins: { allowNull: true, required: true, type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                required_linear_history: { type: "boolean" },
-                required_pull_request_reviews: {
-                    allowNull: true,
-                    required: true,
-                    type: "object"
-                },
-                "required_pull_request_reviews.dismiss_stale_reviews": {
-                    type: "boolean"
-                },
-                "required_pull_request_reviews.dismissal_restrictions": {
-                    type: "object"
-                },
-                "required_pull_request_reviews.dismissal_restrictions.teams": {
-                    type: "string[]"
-                },
-                "required_pull_request_reviews.dismissal_restrictions.users": {
-                    type: "string[]"
-                },
-                "required_pull_request_reviews.require_code_owner_reviews": {
-                    type: "boolean"
-                },
-                "required_pull_request_reviews.required_approving_review_count": {
-                    type: "integer"
-                },
-                required_status_checks: {
-                    allowNull: true,
-                    required: true,
-                    type: "object"
-                },
-                "required_status_checks.contexts": { required: true, type: "string[]" },
-                "required_status_checks.strict": { required: true, type: "boolean" },
-                restrictions: { allowNull: true, required: true, type: "object" },
-                "restrictions.apps": { type: "string[]" },
-                "restrictions.teams": { required: true, type: "string[]" },
-                "restrictions.users": { required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection"
-        },
-        updateCommitComment: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id"
-        },
-        updateFile: {
-            deprecated: "octokit.repos.updateFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)",
-            method: "PUT",
-            params: {
-                author: { type: "object" },
-                "author.email": { required: true, type: "string" },
-                "author.name": { required: true, type: "string" },
-                branch: { type: "string" },
-                committer: { type: "object" },
-                "committer.email": { required: true, type: "string" },
-                "committer.name": { required: true, type: "string" },
-                content: { required: true, type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        updateHook: {
-            method: "PATCH",
-            params: {
-                active: { type: "boolean" },
-                add_events: { type: "string[]" },
-                config: { type: "object" },
-                "config.content_type": { type: "string" },
-                "config.insecure_ssl": { type: "string" },
-                "config.secret": { type: "string" },
-                "config.url": { required: true, type: "string" },
-                events: { type: "string[]" },
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                remove_events: { type: "string[]" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id"
-        },
-        updateInformationAboutPagesSite: {
-            method: "PUT",
-            params: {
-                cname: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                source: {
-                    enum: ['"gh-pages"', '"master"', '"master /docs"'],
-                    type: "string"
-                }
-            },
-            url: "/repos/:owner/:repo/pages"
-        },
-        updateInvitation: {
-            method: "PATCH",
-            params: {
-                invitation_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                permissions: { enum: ["read", "write", "admin"], type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/invitations/:invitation_id"
-        },
-        updateProtectedBranchPullRequestReviewEnforcement: {
-            method: "PATCH",
-            params: {
-                branch: { required: true, type: "string" },
-                dismiss_stale_reviews: { type: "boolean" },
-                dismissal_restrictions: { type: "object" },
-                "dismissal_restrictions.teams": { type: "string[]" },
-                "dismissal_restrictions.users": { type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                require_code_owner_reviews: { type: "boolean" },
-                required_approving_review_count: { type: "integer" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-        },
-        updateProtectedBranchRequiredStatusChecks: {
-            method: "PATCH",
-            params: {
-                branch: { required: true, type: "string" },
-                contexts: { type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                strict: { type: "boolean" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks"
-        },
-        updateRelease: {
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                draft: { type: "boolean" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                prerelease: { type: "boolean" },
-                release_id: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                tag_name: { type: "string" },
-                target_commitish: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/:release_id"
-        },
-        updateReleaseAsset: {
-            method: "PATCH",
-            params: {
-                asset_id: { required: true, type: "integer" },
-                label: { type: "string" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/assets/:asset_id"
-        },
-        uploadReleaseAsset: {
-            method: "POST",
-            params: {
-                data: { mapTo: "data", required: true, type: "string | object" },
-                file: { alias: "data", deprecated: true, type: "string | object" },
-                headers: { required: true, type: "object" },
-                "headers.content-length": { required: true, type: "integer" },
-                "headers.content-type": { required: true, type: "string" },
-                label: { type: "string" },
-                name: { required: true, type: "string" },
-                url: { required: true, type: "string" }
-            },
-            url: ":url"
-        }
+        acceptInvitation: ["PATCH /user/repository_invitations/{invitation_id}"],
+        addAppAccessRestrictions: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps",
+            {},
+            { mapToData: "apps" },
+        ],
+        addCollaborator: ["PUT /repos/{owner}/{repo}/collaborators/{username}"],
+        addStatusCheckContexts: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts",
+            {},
+            { mapToData: "contexts" },
+        ],
+        addTeamAccessRestrictions: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams",
+            {},
+            { mapToData: "teams" },
+        ],
+        addUserAccessRestrictions: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users",
+            {},
+            { mapToData: "users" },
+        ],
+        checkCollaborator: ["GET /repos/{owner}/{repo}/collaborators/{username}"],
+        checkVulnerabilityAlerts: [
+            "GET /repos/{owner}/{repo}/vulnerability-alerts",
+            { mediaType: { previews: ["dorian"] } },
+        ],
+        compareCommits: ["GET /repos/{owner}/{repo}/compare/{base}...{head}"],
+        createCommitComment: [
+            "POST /repos/{owner}/{repo}/commits/{commit_sha}/comments",
+        ],
+        createCommitSignatureProtection: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures",
+            { mediaType: { previews: ["zzzax"] } },
+        ],
+        createCommitStatus: ["POST /repos/{owner}/{repo}/statuses/{sha}"],
+        createDeployKey: ["POST /repos/{owner}/{repo}/keys"],
+        createDeployment: ["POST /repos/{owner}/{repo}/deployments"],
+        createDeploymentStatus: [
+            "POST /repos/{owner}/{repo}/deployments/{deployment_id}/statuses",
+        ],
+        createDispatchEvent: ["POST /repos/{owner}/{repo}/dispatches"],
+        createForAuthenticatedUser: ["POST /user/repos"],
+        createFork: ["POST /repos/{owner}/{repo}/forks"],
+        createInOrg: ["POST /orgs/{org}/repos"],
+        createOrUpdateFileContents: ["PUT /repos/{owner}/{repo}/contents/{path}"],
+        createPagesSite: [
+            "POST /repos/{owner}/{repo}/pages",
+            { mediaType: { previews: ["switcheroo"] } },
+        ],
+        createRelease: ["POST /repos/{owner}/{repo}/releases"],
+        createUsingTemplate: [
+            "POST /repos/{template_owner}/{template_repo}/generate",
+            { mediaType: { previews: ["baptiste"] } },
+        ],
+        createWebhook: ["POST /repos/{owner}/{repo}/hooks"],
+        declineInvitation: ["DELETE /user/repository_invitations/{invitation_id}"],
+        delete: ["DELETE /repos/{owner}/{repo}"],
+        deleteAccessRestrictions: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions",
+        ],
+        deleteAdminBranchProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins",
+        ],
+        deleteBranchProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection",
+        ],
+        deleteCommitComment: ["DELETE /repos/{owner}/{repo}/comments/{comment_id}"],
+        deleteCommitSignatureProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures",
+            { mediaType: { previews: ["zzzax"] } },
+        ],
+        deleteDeployKey: ["DELETE /repos/{owner}/{repo}/keys/{key_id}"],
+        deleteDeployment: [
+            "DELETE /repos/{owner}/{repo}/deployments/{deployment_id}",
+        ],
+        deleteFile: ["DELETE /repos/{owner}/{repo}/contents/{path}"],
+        deleteInvitation: [
+            "DELETE /repos/{owner}/{repo}/invitations/{invitation_id}",
+        ],
+        deletePagesSite: [
+            "DELETE /repos/{owner}/{repo}/pages",
+            { mediaType: { previews: ["switcheroo"] } },
+        ],
+        deletePullRequestReviewProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews",
+        ],
+        deleteRelease: ["DELETE /repos/{owner}/{repo}/releases/{release_id}"],
+        deleteReleaseAsset: [
+            "DELETE /repos/{owner}/{repo}/releases/assets/{asset_id}",
+        ],
+        deleteWebhook: ["DELETE /repos/{owner}/{repo}/hooks/{hook_id}"],
+        disableAutomatedSecurityFixes: [
+            "DELETE /repos/{owner}/{repo}/automated-security-fixes",
+            { mediaType: { previews: ["london"] } },
+        ],
+        disableVulnerabilityAlerts: [
+            "DELETE /repos/{owner}/{repo}/vulnerability-alerts",
+            { mediaType: { previews: ["dorian"] } },
+        ],
+        downloadArchive: ["GET /repos/{owner}/{repo}/{archive_format}/{ref}"],
+        enableAutomatedSecurityFixes: [
+            "PUT /repos/{owner}/{repo}/automated-security-fixes",
+            { mediaType: { previews: ["london"] } },
+        ],
+        enableVulnerabilityAlerts: [
+            "PUT /repos/{owner}/{repo}/vulnerability-alerts",
+            { mediaType: { previews: ["dorian"] } },
+        ],
+        get: ["GET /repos/{owner}/{repo}"],
+        getAccessRestrictions: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions",
+        ],
+        getAdminBranchProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins",
+        ],
+        getAllStatusCheckContexts: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts",
+        ],
+        getAllTopics: [
+            "GET /repos/{owner}/{repo}/topics",
+            { mediaType: { previews: ["mercy"] } },
+        ],
+        getAppsWithAccessToProtectedBranch: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps",
+        ],
+        getBranch: ["GET /repos/{owner}/{repo}/branches/{branch}"],
+        getBranchProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection",
+        ],
+        getClones: ["GET /repos/{owner}/{repo}/traffic/clones"],
+        getCodeFrequencyStats: ["GET /repos/{owner}/{repo}/stats/code_frequency"],
+        getCollaboratorPermissionLevel: [
+            "GET /repos/{owner}/{repo}/collaborators/{username}/permission",
+        ],
+        getCombinedStatusForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/status"],
+        getCommit: ["GET /repos/{owner}/{repo}/commits/{ref}"],
+        getCommitActivityStats: ["GET /repos/{owner}/{repo}/stats/commit_activity"],
+        getCommitComment: ["GET /repos/{owner}/{repo}/comments/{comment_id}"],
+        getCommitSignatureProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures",
+            { mediaType: { previews: ["zzzax"] } },
+        ],
+        getCommunityProfileMetrics: [
+            "GET /repos/{owner}/{repo}/community/profile",
+            { mediaType: { previews: ["black-panther"] } },
+        ],
+        getContent: ["GET /repos/{owner}/{repo}/contents/{path}"],
+        getContributorsStats: ["GET /repos/{owner}/{repo}/stats/contributors"],
+        getDeployKey: ["GET /repos/{owner}/{repo}/keys/{key_id}"],
+        getDeployment: ["GET /repos/{owner}/{repo}/deployments/{deployment_id}"],
+        getDeploymentStatus: [
+            "GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses/{status_id}",
+        ],
+        getLatestPagesBuild: ["GET /repos/{owner}/{repo}/pages/builds/latest"],
+        getLatestRelease: ["GET /repos/{owner}/{repo}/releases/latest"],
+        getPages: ["GET /repos/{owner}/{repo}/pages"],
+        getPagesBuild: ["GET /repos/{owner}/{repo}/pages/builds/{build_id}"],
+        getParticipationStats: ["GET /repos/{owner}/{repo}/stats/participation"],
+        getPullRequestReviewProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews",
+        ],
+        getPunchCardStats: ["GET /repos/{owner}/{repo}/stats/punch_card"],
+        getReadme: ["GET /repos/{owner}/{repo}/readme"],
+        getRelease: ["GET /repos/{owner}/{repo}/releases/{release_id}"],
+        getReleaseAsset: ["GET /repos/{owner}/{repo}/releases/assets/{asset_id}"],
+        getReleaseByTag: ["GET /repos/{owner}/{repo}/releases/tags/{tag}"],
+        getStatusChecksProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks",
+        ],
+        getTeamsWithAccessToProtectedBranch: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams",
+        ],
+        getTopPaths: ["GET /repos/{owner}/{repo}/traffic/popular/paths"],
+        getTopReferrers: ["GET /repos/{owner}/{repo}/traffic/popular/referrers"],
+        getUsersWithAccessToProtectedBranch: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users",
+        ],
+        getViews: ["GET /repos/{owner}/{repo}/traffic/views"],
+        getWebhook: ["GET /repos/{owner}/{repo}/hooks/{hook_id}"],
+        listBranches: ["GET /repos/{owner}/{repo}/branches"],
+        listBranchesForHeadCommit: [
+            "GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head",
+            { mediaType: { previews: ["groot"] } },
+        ],
+        listCollaborators: ["GET /repos/{owner}/{repo}/collaborators"],
+        listCommentsForCommit: [
+            "GET /repos/{owner}/{repo}/commits/{commit_sha}/comments",
+        ],
+        listCommitCommentsForRepo: ["GET /repos/{owner}/{repo}/comments"],
+        listCommitStatusesForRef: [
+            "GET /repos/{owner}/{repo}/commits/{ref}/statuses",
+        ],
+        listCommits: ["GET /repos/{owner}/{repo}/commits"],
+        listContributors: ["GET /repos/{owner}/{repo}/contributors"],
+        listDeployKeys: ["GET /repos/{owner}/{repo}/keys"],
+        listDeploymentStatuses: [
+            "GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses",
+        ],
+        listDeployments: ["GET /repos/{owner}/{repo}/deployments"],
+        listForAuthenticatedUser: ["GET /user/repos"],
+        listForOrg: ["GET /orgs/{org}/repos"],
+        listForUser: ["GET /users/{username}/repos"],
+        listForks: ["GET /repos/{owner}/{repo}/forks"],
+        listInvitations: ["GET /repos/{owner}/{repo}/invitations"],
+        listInvitationsForAuthenticatedUser: ["GET /user/repository_invitations"],
+        listLanguages: ["GET /repos/{owner}/{repo}/languages"],
+        listPagesBuilds: ["GET /repos/{owner}/{repo}/pages/builds"],
+        listPublic: ["GET /repositories"],
+        listPullRequestsAssociatedWithCommit: [
+            "GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls",
+            { mediaType: { previews: ["groot"] } },
+        ],
+        listReleaseAssets: [
+            "GET /repos/{owner}/{repo}/releases/{release_id}/assets",
+        ],
+        listReleases: ["GET /repos/{owner}/{repo}/releases"],
+        listTags: ["GET /repos/{owner}/{repo}/tags"],
+        listTeams: ["GET /repos/{owner}/{repo}/teams"],
+        listWebhooks: ["GET /repos/{owner}/{repo}/hooks"],
+        merge: ["POST /repos/{owner}/{repo}/merges"],
+        pingWebhook: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/pings"],
+        removeAppAccessRestrictions: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps",
+            {},
+            { mapToData: "apps" },
+        ],
+        removeCollaborator: [
+            "DELETE /repos/{owner}/{repo}/collaborators/{username}",
+        ],
+        removeStatusCheckContexts: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts",
+            {},
+            { mapToData: "contexts" },
+        ],
+        removeStatusCheckProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks",
+        ],
+        removeTeamAccessRestrictions: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams",
+            {},
+            { mapToData: "teams" },
+        ],
+        removeUserAccessRestrictions: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users",
+            {},
+            { mapToData: "users" },
+        ],
+        replaceAllTopics: [
+            "PUT /repos/{owner}/{repo}/topics",
+            { mediaType: { previews: ["mercy"] } },
+        ],
+        requestPagesBuild: ["POST /repos/{owner}/{repo}/pages/builds"],
+        setAdminBranchProtection: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins",
+        ],
+        setAppAccessRestrictions: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps",
+            {},
+            { mapToData: "apps" },
+        ],
+        setStatusCheckContexts: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts",
+            {},
+            { mapToData: "contexts" },
+        ],
+        setTeamAccessRestrictions: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams",
+            {},
+            { mapToData: "teams" },
+        ],
+        setUserAccessRestrictions: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users",
+            {},
+            { mapToData: "users" },
+        ],
+        testPushWebhook: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/tests"],
+        transfer: ["POST /repos/{owner}/{repo}/transfer"],
+        update: ["PATCH /repos/{owner}/{repo}"],
+        updateBranchProtection: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection",
+        ],
+        updateCommitComment: ["PATCH /repos/{owner}/{repo}/comments/{comment_id}"],
+        updateInformationAboutPagesSite: ["PUT /repos/{owner}/{repo}/pages"],
+        updateInvitation: [
+            "PATCH /repos/{owner}/{repo}/invitations/{invitation_id}",
+        ],
+        updatePullRequestReviewProtection: [
+            "PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews",
+        ],
+        updateRelease: ["PATCH /repos/{owner}/{repo}/releases/{release_id}"],
+        updateReleaseAsset: [
+            "PATCH /repos/{owner}/{repo}/releases/assets/{asset_id}",
+        ],
+        updateStatusCheckPotection: [
+            "PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks",
+        ],
+        updateWebhook: ["PATCH /repos/{owner}/{repo}/hooks/{hook_id}"],
+        uploadReleaseAsset: [
+            "POST /repos/{owner}/{repo}/releases/{release_id}/assets{?name,label}",
+            { baseUrl: "https://uploads.github.com" },
+        ],
     },
     search: {
-        code: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: { enum: ["indexed"], type: "string" }
-            },
-            url: "/search/code"
-        },
-        commits: {
-            headers: { accept: "application/vnd.github.cloak-preview+json" },
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: { enum: ["author-date", "committer-date"], type: "string" }
-            },
-            url: "/search/commits"
-        },
-        issues: {
-            deprecated: "octokit.search.issues() has been renamed to octokit.search.issuesAndPullRequests() (2018-12-27)",
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: {
-                    enum: [
-                        "comments",
-                        "reactions",
-                        "reactions-+1",
-                        "reactions--1",
-                        "reactions-smile",
-                        "reactions-thinking_face",
-                        "reactions-heart",
-                        "reactions-tada",
-                        "interactions",
-                        "created",
-                        "updated"
-                    ],
-                    type: "string"
-                }
-            },
-            url: "/search/issues"
-        },
-        issuesAndPullRequests: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: {
-                    enum: [
-                        "comments",
-                        "reactions",
-                        "reactions-+1",
-                        "reactions--1",
-                        "reactions-smile",
-                        "reactions-thinking_face",
-                        "reactions-heart",
-                        "reactions-tada",
-                        "interactions",
-                        "created",
-                        "updated"
-                    ],
-                    type: "string"
-                }
-            },
-            url: "/search/issues"
-        },
-        labels: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                q: { required: true, type: "string" },
-                repository_id: { required: true, type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/search/labels"
-        },
-        repos: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: {
-                    enum: ["stars", "forks", "help-wanted-issues", "updated"],
-                    type: "string"
-                }
-            },
-            url: "/search/repositories"
-        },
-        topics: {
-            method: "GET",
-            params: { q: { required: true, type: "string" } },
-            url: "/search/topics"
-        },
-        users: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: { enum: ["followers", "repositories", "joined"], type: "string" }
-            },
-            url: "/search/users"
-        }
+        code: ["GET /search/code"],
+        commits: ["GET /search/commits", { mediaType: { previews: ["cloak"] } }],
+        issuesAndPullRequests: ["GET /search/issues"],
+        labels: ["GET /search/labels"],
+        repos: ["GET /search/repositories"],
+        topics: ["GET /search/topics", { mediaType: { previews: ["mercy"] } }],
+        users: ["GET /search/users"],
     },
     teams: {
-        addMember: {
-            deprecated: "octokit.teams.addMember() has been renamed to octokit.teams.addMemberLegacy() (2020-01-16)",
-            method: "PUT",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        addMemberLegacy: {
-            deprecated: "octokit.teams.addMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy",
-            method: "PUT",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        addOrUpdateMembership: {
-            deprecated: "octokit.teams.addOrUpdateMembership() has been renamed to octokit.teams.addOrUpdateMembershipLegacy() (2020-01-16)",
-            method: "PUT",
-            params: {
-                role: { enum: ["member", "maintainer"], type: "string" },
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        addOrUpdateMembershipInOrg: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                role: { enum: ["member", "maintainer"], type: "string" },
-                team_slug: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/memberships/:username"
-        },
-        addOrUpdateMembershipLegacy: {
-            deprecated: "octokit.teams.addOrUpdateMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy",
-            method: "PUT",
-            params: {
-                role: { enum: ["member", "maintainer"], type: "string" },
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        addOrUpdateProject: {
-            deprecated: "octokit.teams.addOrUpdateProject() has been renamed to octokit.teams.addOrUpdateProjectLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PUT",
-            params: {
-                permission: { enum: ["read", "write", "admin"], type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        addOrUpdateProjectInOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                permission: { enum: ["read", "write", "admin"], type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-        },
-        addOrUpdateProjectLegacy: {
-            deprecated: "octokit.teams.addOrUpdateProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PUT",
-            params: {
-                permission: { enum: ["read", "write", "admin"], type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        addOrUpdateRepo: {
-            deprecated: "octokit.teams.addOrUpdateRepo() has been renamed to octokit.teams.addOrUpdateRepoLegacy() (2020-01-16)",
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        addOrUpdateRepoInOrg: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                repo: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-        },
-        addOrUpdateRepoLegacy: {
-            deprecated: "octokit.teams.addOrUpdateRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy",
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        checkManagesRepo: {
-            deprecated: "octokit.teams.checkManagesRepo() has been renamed to octokit.teams.checkManagesRepoLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        checkManagesRepoInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-        },
-        checkManagesRepoLegacy: {
-            deprecated: "octokit.teams.checkManagesRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy",
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        create: {
-            method: "POST",
-            params: {
-                description: { type: "string" },
-                maintainers: { type: "string[]" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" },
-                parent_team_id: { type: "integer" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                privacy: { enum: ["secret", "closed"], type: "string" },
-                repo_names: { type: "string[]" }
-            },
-            url: "/orgs/:org/teams"
-        },
-        createDiscussion: {
-            deprecated: "octokit.teams.createDiscussion() has been renamed to octokit.teams.createDiscussionLegacy() (2020-01-16)",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_id: { required: true, type: "integer" },
-                title: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/discussions"
-        },
-        createDiscussionComment: {
-            deprecated: "octokit.teams.createDiscussionComment() has been renamed to octokit.teams.createDiscussionCommentLegacy() (2020-01-16)",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments"
-        },
-        createDiscussionCommentInOrg: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"
-        },
-        createDiscussionCommentLegacy: {
-            deprecated: "octokit.teams.createDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments"
-        },
-        createDiscussionInOrg: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                org: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_slug: { required: true, type: "string" },
-                title: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions"
-        },
-        createDiscussionLegacy: {
-            deprecated: "octokit.teams.createDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_id: { required: true, type: "integer" },
-                title: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/discussions"
-        },
-        delete: {
-            deprecated: "octokit.teams.delete() has been renamed to octokit.teams.deleteLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: { team_id: { required: true, type: "integer" } },
-            url: "/teams/:team_id"
-        },
-        deleteDiscussion: {
-            deprecated: "octokit.teams.deleteDiscussion() has been renamed to octokit.teams.deleteDiscussionLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        deleteDiscussionComment: {
-            deprecated: "octokit.teams.deleteDiscussionComment() has been renamed to octokit.teams.deleteDiscussionCommentLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        deleteDiscussionCommentInOrg: {
-            method: "DELETE",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-        },
-        deleteDiscussionCommentLegacy: {
-            deprecated: "octokit.teams.deleteDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy",
-            method: "DELETE",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        deleteDiscussionInOrg: {
-            method: "DELETE",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-        },
-        deleteDiscussionLegacy: {
-            deprecated: "octokit.teams.deleteDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy",
-            method: "DELETE",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        deleteInOrg: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug"
-        },
-        deleteLegacy: {
-            deprecated: "octokit.teams.deleteLegacy() is deprecated, see https://developer.github.com/v3/teams/#delete-team-legacy",
-            method: "DELETE",
-            params: { team_id: { required: true, type: "integer" } },
-            url: "/teams/:team_id"
-        },
-        get: {
-            deprecated: "octokit.teams.get() has been renamed to octokit.teams.getLegacy() (2020-01-16)",
-            method: "GET",
-            params: { team_id: { required: true, type: "integer" } },
-            url: "/teams/:team_id"
-        },
-        getByName: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug"
-        },
-        getDiscussion: {
-            deprecated: "octokit.teams.getDiscussion() has been renamed to octokit.teams.getDiscussionLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        getDiscussionComment: {
-            deprecated: "octokit.teams.getDiscussionComment() has been renamed to octokit.teams.getDiscussionCommentLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        getDiscussionCommentInOrg: {
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-        },
-        getDiscussionCommentLegacy: {
-            deprecated: "octokit.teams.getDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy",
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        getDiscussionInOrg: {
-            method: "GET",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-        },
-        getDiscussionLegacy: {
-            deprecated: "octokit.teams.getDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy",
-            method: "GET",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        getLegacy: {
-            deprecated: "octokit.teams.getLegacy() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy",
-            method: "GET",
-            params: { team_id: { required: true, type: "integer" } },
-            url: "/teams/:team_id"
-        },
-        getMember: {
-            deprecated: "octokit.teams.getMember() has been renamed to octokit.teams.getMemberLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        getMemberLegacy: {
-            deprecated: "octokit.teams.getMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy",
-            method: "GET",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        getMembership: {
-            deprecated: "octokit.teams.getMembership() has been renamed to octokit.teams.getMembershipLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        getMembershipInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/memberships/:username"
-        },
-        getMembershipLegacy: {
-            deprecated: "octokit.teams.getMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-membership-legacy",
-            method: "GET",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        list: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/teams"
-        },
-        listChild: {
-            deprecated: "octokit.teams.listChild() has been renamed to octokit.teams.listChildLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/teams"
-        },
-        listChildInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/teams"
-        },
-        listChildLegacy: {
-            deprecated: "octokit.teams.listChildLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-child-teams-legacy",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/teams"
-        },
-        listDiscussionComments: {
-            deprecated: "octokit.teams.listDiscussionComments() has been renamed to octokit.teams.listDiscussionCommentsLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments"
-        },
-        listDiscussionCommentsInOrg: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"
-        },
-        listDiscussionCommentsLegacy: {
-            deprecated: "octokit.teams.listDiscussionCommentsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy",
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments"
-        },
-        listDiscussions: {
-            deprecated: "octokit.teams.listDiscussions() has been renamed to octokit.teams.listDiscussionsLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions"
-        },
-        listDiscussionsInOrg: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions"
-        },
-        listDiscussionsLegacy: {
-            deprecated: "octokit.teams.listDiscussionsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy",
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions"
-        },
-        listForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/teams"
-        },
-        listMembers: {
-            deprecated: "octokit.teams.listMembers() has been renamed to octokit.teams.listMembersLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                role: { enum: ["member", "maintainer", "all"], type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/members"
-        },
-        listMembersInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                role: { enum: ["member", "maintainer", "all"], type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/members"
-        },
-        listMembersLegacy: {
-            deprecated: "octokit.teams.listMembersLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-team-members-legacy",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                role: { enum: ["member", "maintainer", "all"], type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/members"
-        },
-        listPendingInvitations: {
-            deprecated: "octokit.teams.listPendingInvitations() has been renamed to octokit.teams.listPendingInvitationsLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/invitations"
-        },
-        listPendingInvitationsInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/invitations"
-        },
-        listPendingInvitationsLegacy: {
-            deprecated: "octokit.teams.listPendingInvitationsLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/invitations"
-        },
-        listProjects: {
-            deprecated: "octokit.teams.listProjects() has been renamed to octokit.teams.listProjectsLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects"
-        },
-        listProjectsInOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/projects"
-        },
-        listProjectsLegacy: {
-            deprecated: "octokit.teams.listProjectsLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects"
-        },
-        listRepos: {
-            deprecated: "octokit.teams.listRepos() has been renamed to octokit.teams.listReposLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos"
-        },
-        listReposInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/repos"
-        },
-        listReposLegacy: {
-            deprecated: "octokit.teams.listReposLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos"
-        },
-        removeMember: {
-            deprecated: "octokit.teams.removeMember() has been renamed to octokit.teams.removeMemberLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        removeMemberLegacy: {
-            deprecated: "octokit.teams.removeMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy",
-            method: "DELETE",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        removeMembership: {
-            deprecated: "octokit.teams.removeMembership() has been renamed to octokit.teams.removeMembershipLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        removeMembershipInOrg: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/memberships/:username"
-        },
-        removeMembershipLegacy: {
-            deprecated: "octokit.teams.removeMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy",
-            method: "DELETE",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        removeProject: {
-            deprecated: "octokit.teams.removeProject() has been renamed to octokit.teams.removeProjectLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        removeProjectInOrg: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-        },
-        removeProjectLegacy: {
-            deprecated: "octokit.teams.removeProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy",
-            method: "DELETE",
-            params: {
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        removeRepo: {
-            deprecated: "octokit.teams.removeRepo() has been renamed to octokit.teams.removeRepoLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        removeRepoInOrg: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-        },
-        removeRepoLegacy: {
-            deprecated: "octokit.teams.removeRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy",
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        reviewProject: {
-            deprecated: "octokit.teams.reviewProject() has been renamed to octokit.teams.reviewProjectLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        reviewProjectInOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-        },
-        reviewProjectLegacy: {
-            deprecated: "octokit.teams.reviewProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        update: {
-            deprecated: "octokit.teams.update() has been renamed to octokit.teams.updateLegacy() (2020-01-16)",
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                parent_team_id: { type: "integer" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                privacy: { enum: ["secret", "closed"], type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id"
-        },
-        updateDiscussion: {
-            deprecated: "octokit.teams.updateDiscussion() has been renamed to octokit.teams.updateDiscussionLegacy() (2020-01-16)",
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" },
-                title: { type: "string" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        updateDiscussionComment: {
-            deprecated: "octokit.teams.updateDiscussionComment() has been renamed to octokit.teams.updateDiscussionCommentLegacy() (2020-01-16)",
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        updateDiscussionCommentInOrg: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-        },
-        updateDiscussionCommentLegacy: {
-            deprecated: "octokit.teams.updateDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy",
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        updateDiscussionInOrg: {
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" },
-                title: { type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-        },
-        updateDiscussionLegacy: {
-            deprecated: "octokit.teams.updateDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy",
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" },
-                title: { type: "string" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        updateInOrg: {
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" },
-                parent_team_id: { type: "integer" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                privacy: { enum: ["secret", "closed"], type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug"
-        },
-        updateLegacy: {
-            deprecated: "octokit.teams.updateLegacy() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy",
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                parent_team_id: { type: "integer" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                privacy: { enum: ["secret", "closed"], type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id"
-        }
+        addOrUpdateMembershipForUserInOrg: [
+            "PUT /orgs/{org}/teams/{team_slug}/memberships/{username}",
+        ],
+        addOrUpdateProjectPermissionsInOrg: [
+            "PUT /orgs/{org}/teams/{team_slug}/projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        addOrUpdateRepoPermissionsInOrg: [
+            "PUT /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}",
+        ],
+        checkPermissionsForProjectInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        checkPermissionsForRepoInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}",
+        ],
+        create: ["POST /orgs/{org}/teams"],
+        createDiscussionCommentInOrg: [
+            "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments",
+        ],
+        createDiscussionInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions"],
+        deleteDiscussionCommentInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}",
+        ],
+        deleteDiscussionInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}",
+        ],
+        deleteInOrg: ["DELETE /orgs/{org}/teams/{team_slug}"],
+        getByName: ["GET /orgs/{org}/teams/{team_slug}"],
+        getDiscussionCommentInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}",
+        ],
+        getDiscussionInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}",
+        ],
+        getMembershipForUserInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/memberships/{username}",
+        ],
+        list: ["GET /orgs/{org}/teams"],
+        listChildInOrg: ["GET /orgs/{org}/teams/{team_slug}/teams"],
+        listDiscussionCommentsInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments",
+        ],
+        listDiscussionsInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions"],
+        listForAuthenticatedUser: ["GET /user/teams"],
+        listMembersInOrg: ["GET /orgs/{org}/teams/{team_slug}/members"],
+        listPendingInvitationsInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/invitations",
+        ],
+        listProjectsInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listReposInOrg: ["GET /orgs/{org}/teams/{team_slug}/repos"],
+        removeMembershipForUserInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/memberships/{username}",
+        ],
+        removeProjectInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/projects/{project_id}",
+        ],
+        removeRepoInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}",
+        ],
+        updateDiscussionCommentInOrg: [
+            "PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}",
+        ],
+        updateDiscussionInOrg: [
+            "PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}",
+        ],
+        updateInOrg: ["PATCH /orgs/{org}/teams/{team_slug}"],
     },
     users: {
-        addEmails: {
-            method: "POST",
-            params: { emails: { required: true, type: "string[]" } },
-            url: "/user/emails"
-        },
-        block: {
-            method: "PUT",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/blocks/:username"
-        },
-        checkBlocked: {
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/blocks/:username"
-        },
-        checkFollowing: {
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/following/:username"
-        },
-        checkFollowingForUser: {
-            method: "GET",
-            params: {
-                target_user: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/following/:target_user"
-        },
-        createGpgKey: {
-            method: "POST",
-            params: { armored_public_key: { type: "string" } },
-            url: "/user/gpg_keys"
-        },
-        createPublicKey: {
-            method: "POST",
-            params: { key: { type: "string" }, title: { type: "string" } },
-            url: "/user/keys"
-        },
-        deleteEmails: {
-            method: "DELETE",
-            params: { emails: { required: true, type: "string[]" } },
-            url: "/user/emails"
-        },
-        deleteGpgKey: {
-            method: "DELETE",
-            params: { gpg_key_id: { required: true, type: "integer" } },
-            url: "/user/gpg_keys/:gpg_key_id"
-        },
-        deletePublicKey: {
-            method: "DELETE",
-            params: { key_id: { required: true, type: "integer" } },
-            url: "/user/keys/:key_id"
-        },
-        follow: {
-            method: "PUT",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/following/:username"
-        },
-        getAuthenticated: { method: "GET", params: {}, url: "/user" },
-        getByUsername: {
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/users/:username"
-        },
-        getContextForUser: {
-            method: "GET",
-            params: {
-                subject_id: { type: "string" },
-                subject_type: {
-                    enum: ["organization", "repository", "issue", "pull_request"],
-                    type: "string"
-                },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/hovercard"
-        },
-        getGpgKey: {
-            method: "GET",
-            params: { gpg_key_id: { required: true, type: "integer" } },
-            url: "/user/gpg_keys/:gpg_key_id"
-        },
-        getPublicKey: {
-            method: "GET",
-            params: { key_id: { required: true, type: "integer" } },
-            url: "/user/keys/:key_id"
-        },
-        list: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/users"
-        },
-        listBlocked: { method: "GET", params: {}, url: "/user/blocks" },
-        listEmails: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/emails"
-        },
-        listFollowersForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/followers"
-        },
-        listFollowersForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/followers"
-        },
-        listFollowingForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/following"
-        },
-        listFollowingForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/following"
-        },
-        listGpgKeys: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/gpg_keys"
-        },
-        listGpgKeysForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/gpg_keys"
-        },
-        listPublicEmails: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/public_emails"
-        },
-        listPublicKeys: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/keys"
-        },
-        listPublicKeysForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/keys"
-        },
-        togglePrimaryEmailVisibility: {
-            method: "PATCH",
-            params: {
-                email: { required: true, type: "string" },
-                visibility: { required: true, type: "string" }
-            },
-            url: "/user/email/visibility"
-        },
-        unblock: {
-            method: "DELETE",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/blocks/:username"
-        },
-        unfollow: {
-            method: "DELETE",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/following/:username"
-        },
-        updateAuthenticated: {
-            method: "PATCH",
-            params: {
-                bio: { type: "string" },
-                blog: { type: "string" },
-                company: { type: "string" },
-                email: { type: "string" },
-                hireable: { type: "boolean" },
-                location: { type: "string" },
-                name: { type: "string" }
-            },
-            url: "/user"
-        }
-    }
+        addEmailForAuthenticated: ["POST /user/emails"],
+        block: ["PUT /user/blocks/{username}"],
+        checkBlocked: ["GET /user/blocks/{username}"],
+        checkFollowingForUser: ["GET /users/{username}/following/{target_user}"],
+        checkPersonIsFollowedByAuthenticated: ["GET /user/following/{username}"],
+        createGpgKeyForAuthenticated: ["POST /user/gpg_keys"],
+        createPublicSshKeyForAuthenticated: ["POST /user/keys"],
+        deleteEmailForAuthenticated: ["DELETE /user/emails"],
+        deleteGpgKeyForAuthenticated: ["DELETE /user/gpg_keys/{gpg_key_id}"],
+        deletePublicSshKeyForAuthenticated: ["DELETE /user/keys/{key_id}"],
+        follow: ["PUT /user/following/{username}"],
+        getAuthenticated: ["GET /user"],
+        getByUsername: ["GET /users/{username}"],
+        getContextForUser: ["GET /users/{username}/hovercard"],
+        getGpgKeyForAuthenticated: ["GET /user/gpg_keys/{gpg_key_id}"],
+        getPublicSshKeyForAuthenticated: ["GET /user/keys/{key_id}"],
+        list: ["GET /users"],
+        listBlockedByAuthenticated: ["GET /user/blocks"],
+        listEmailsForAuthenticated: ["GET /user/emails"],
+        listFollowedByAuthenticated: ["GET /user/following"],
+        listFollowersForAuthenticatedUser: ["GET /user/followers"],
+        listFollowersForUser: ["GET /users/{username}/followers"],
+        listFollowingForUser: ["GET /users/{username}/following"],
+        listGpgKeysForAuthenticated: ["GET /user/gpg_keys"],
+        listGpgKeysForUser: ["GET /users/{username}/gpg_keys"],
+        listPublicEmailsForAuthenticated: ["GET /user/public_emails"],
+        listPublicKeysForUser: ["GET /users/{username}/keys"],
+        listPublicSshKeysForAuthenticated: ["GET /user/keys"],
+        setPrimaryEmailVisibilityForAuthenticated: ["PATCH /user/email/visibility"],
+        unblock: ["DELETE /user/blocks/{username}"],
+        unfollow: ["DELETE /user/following/{username}"],
+        updateAuthenticated: ["PATCH /user"],
+    },
 };
+export default Endpoints;
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/method-types.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/method-types.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/parameters-and-response-types.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/generated/parameters-and-response-types.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/index.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/index.js
index e44276748..0535b19eb 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/index.js
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/index.js
@@ -1,7 +1,6 @@
-import { Deprecation } from "deprecation";
-import endpointsByScope from "./generated/endpoints";
+import ENDPOINTS from "./generated/endpoints";
 import { VERSION } from "./version";
-import { registerEndpoints } from "./register-endpoints";
+import { endpointsToMethods } from "./endpoints-to-methods";
 /**
  * This plugin is a 1:1 copy of internal @octokit/rest plugins. The primary
  * goal is to rebuild @octokit/rest on top of @octokit/core. Once that is
@@ -13,26 +12,6 @@ import { registerEndpoints } from "./register-endpoints";
  * https://github.com/octokit/plugin-rest-endpoint-methods.js/pull/1
  */
 export function restEndpointMethods(octokit) {
-    // @ts-ignore
-    octokit.registerEndpoints = registerEndpoints.bind(null, octokit);
-    registerEndpoints(octokit, endpointsByScope);
-    // Aliasing scopes for backward compatibility
-    // See https://github.com/octokit/rest.js/pull/1134
-    [
-        ["gitdata", "git"],
-        ["authorization", "oauthAuthorizations"],
-        ["pullRequests", "pulls"]
-    ].forEach(([deprecatedScope, scope]) => {
-        Object.defineProperty(octokit, deprecatedScope, {
-            get() {
-                octokit.log.warn(
-                // @ts-ignore
-                new Deprecation(`[@octokit/plugin-rest-endpoint-methods] "octokit.${deprecatedScope}.*" methods are deprecated, use "octokit.${scope}.*" instead`));
-                // @ts-ignore
-                return octokit[scope];
-            }
-        });
-    });
-    return {};
+    return endpointsToMethods(octokit, ENDPOINTS);
 }
 restEndpointMethods.VERSION = VERSION;
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/register-endpoints.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/register-endpoints.js
deleted file mode 100644
index 7b0b3c231..000000000
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/register-endpoints.js
+++ /dev/null
@@ -1,60 +0,0 @@
-import { Deprecation } from "deprecation";
-export function registerEndpoints(octokit, routes) {
-    Object.keys(routes).forEach(namespaceName => {
-        if (!octokit[namespaceName]) {
-            octokit[namespaceName] = {};
-        }
-        Object.keys(routes[namespaceName]).forEach(apiName => {
-            const apiOptions = routes[namespaceName][apiName];
-            const endpointDefaults = ["method", "url", "headers"].reduce((map, key) => {
-                if (typeof apiOptions[key] !== "undefined") {
-                    map[key] = apiOptions[key];
-                }
-                return map;
-            }, {});
-            endpointDefaults.request = {
-                validate: apiOptions.params
-            };
-            let request = octokit.request.defaults(endpointDefaults);
-            // patch request & endpoint methods to support deprecated parameters.
-            // Not the most elegant solution, but we don’t want to move deprecation
-            // logic into octokit/endpoint.js as it’s out of scope
-            const hasDeprecatedParam = Object.keys(apiOptions.params || {}).find(key => apiOptions.params[key].deprecated);
-            if (hasDeprecatedParam) {
-                const patch = patchForDeprecation.bind(null, octokit, apiOptions);
-                request = patch(octokit.request.defaults(endpointDefaults), `.${namespaceName}.${apiName}()`);
-                request.endpoint = patch(request.endpoint, `.${namespaceName}.${apiName}.endpoint()`);
-                request.endpoint.merge = patch(request.endpoint.merge, `.${namespaceName}.${apiName}.endpoint.merge()`);
-            }
-            if (apiOptions.deprecated) {
-                octokit[namespaceName][apiName] = Object.assign(function deprecatedEndpointMethod() {
-                    octokit.log.warn(new Deprecation(`[@octokit/rest] ${apiOptions.deprecated}`));
-                    octokit[namespaceName][apiName] = request;
-                    return request.apply(null, arguments);
-                }, request);
-                return;
-            }
-            octokit[namespaceName][apiName] = request;
-        });
-    });
-}
-function patchForDeprecation(octokit, apiOptions, method, methodName) {
-    const patchedMethod = (options) => {
-        options = Object.assign({}, options);
-        Object.keys(options).forEach(key => {
-            if (apiOptions.params[key] && apiOptions.params[key].deprecated) {
-                const aliasKey = apiOptions.params[key].alias;
-                octokit.log.warn(new Deprecation(`[@octokit/rest] "${key}" parameter is deprecated for "${methodName}". Use "${aliasKey}" instead`));
-                if (!(aliasKey in options)) {
-                    options[aliasKey] = options[key];
-                }
-                delete options[key];
-            }
-        });
-        return method(options);
-    };
-    Object.keys(method).forEach(key => {
-        patchedMethod[key] = method[key];
-    });
-    return patchedMethod;
-}
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/version.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/version.js
index 48b74baff..d770f611b 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/version.js
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-src/version.js
@@ -1 +1 @@
-export const VERSION = "2.4.0";
+export const VERSION = "4.1.2";
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/endpoints-to-methods.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/endpoints-to-methods.d.ts
new file mode 100644
index 000000000..2a97a4b4e
--- /dev/null
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/endpoints-to-methods.d.ts
@@ -0,0 +1,4 @@
+import { Octokit } from "@octokit/core";
+import { EndpointsDefaultsAndDecorations } from "./types";
+import { RestEndpointMethods } from "./generated/method-types";
+export declare function endpointsToMethods(octokit: Octokit, endpointsMap: EndpointsDefaultsAndDecorations): RestEndpointMethods;
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/endpoints.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/endpoints.d.ts
index 528dd6e76..a3c1d92ad 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/endpoints.d.ts
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/endpoints.d.ts
@@ -1,13085 +1,3 @@
-declare const _default: {
-    actions: {
-        cancelWorkflowRun: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                run_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createOrUpdateSecretForRepo: {
-            method: string;
-            params: {
-                encrypted_value: {
-                    type: string;
-                };
-                key_id: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createRegistrationToken: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createRemoveToken: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteArtifact: {
-            method: string;
-            params: {
-                artifact_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteSecretFromRepo: {
-            method: string;
-            params: {
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        downloadArtifact: {
-            method: string;
-            params: {
-                archive_format: {
-                    required: boolean;
-                    type: string;
-                };
-                artifact_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getArtifact: {
-            method: string;
-            params: {
-                artifact_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getPublicKey: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getSecret: {
-            method: string;
-            params: {
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getSelfHostedRunner: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                runner_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getWorkflow: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                workflow_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getWorkflowJob: {
-            method: string;
-            params: {
-                job_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getWorkflowRun: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                run_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listDownloadsForSelfHostedRunnerApplication: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listJobsForWorkflowRun: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                run_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listRepoWorkflowRuns: {
-            method: string;
-            params: {
-                actor: {
-                    type: string;
-                };
-                branch: {
-                    type: string;
-                };
-                event: {
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                status: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listRepoWorkflows: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listSecretsForRepo: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listSelfHostedRunnersForRepo: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listWorkflowJobLogs: {
-            method: string;
-            params: {
-                job_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listWorkflowRunArtifacts: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                run_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listWorkflowRunLogs: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                run_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listWorkflowRuns: {
-            method: string;
-            params: {
-                actor: {
-                    type: string;
-                };
-                branch: {
-                    type: string;
-                };
-                event: {
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                status: {
-                    enum: string[];
-                    type: string;
-                };
-                workflow_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        reRunWorkflow: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                run_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeSelfHostedRunner: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                runner_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-    };
-    activity: {
-        checkStarringRepo: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteRepoSubscription: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteThreadSubscription: {
-            method: string;
-            params: {
-                thread_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getRepoSubscription: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getThread: {
-            method: string;
-            params: {
-                thread_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getThreadSubscription: {
-            method: string;
-            params: {
-                thread_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listEventsForOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listEventsForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listFeeds: {
-            method: string;
-            params: {};
-            url: string;
-        };
-        listNotifications: {
-            method: string;
-            params: {
-                all: {
-                    type: string;
-                };
-                before: {
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                participating: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                since: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listNotificationsForRepo: {
-            method: string;
-            params: {
-                all: {
-                    type: string;
-                };
-                before: {
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                participating: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                since: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublicEvents: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublicEventsForOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublicEventsForRepoNetwork: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublicEventsForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listReceivedEventsForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listReceivedPublicEventsForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listRepoEvents: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listReposStarredByAuthenticatedUser: {
-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                sort: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listReposStarredByUser: {
-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                sort: {
-                    enum: string[];
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listReposWatchedByUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listStargazersForRepo: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listWatchedReposForAuthenticatedUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listWatchersForRepo: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        markAsRead: {
-            method: string;
-            params: {
-                last_read_at: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        markNotificationsAsReadForRepo: {
-            method: string;
-            params: {
-                last_read_at: {
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        markThreadAsRead: {
-            method: string;
-            params: {
-                thread_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        setRepoSubscription: {
-            method: string;
-            params: {
-                ignored: {
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                subscribed: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        setThreadSubscription: {
-            method: string;
-            params: {
-                ignored: {
-                    type: string;
-                };
-                thread_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        starRepo: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        unstarRepo: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-    };
-    apps: {
-        addRepoToInstallation: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                installation_id: {
-                    required: boolean;
-                    type: string;
-                };
-                repository_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkAccountIsAssociatedWithAny: {
-            method: string;
-            params: {
-                account_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkAccountIsAssociatedWithAnyStubbed: {
-            method: string;
-            params: {
-                account_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkAuthorization: {
-            deprecated: string;
-            method: string;
-            params: {
-                access_token: {
-                    required: boolean;
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkToken: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                access_token: {
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createContentAttachment: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                content_reference_id: {
-                    required: boolean;
-                    type: string;
-                };
-                title: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createFromManifest: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                code: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createInstallationToken: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                installation_id: {
-                    required: boolean;
-                    type: string;
-                };
-                permissions: {
-                    type: string;
-                };
-                repository_ids: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteAuthorization: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                access_token: {
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteInstallation: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                installation_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteToken: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                access_token: {
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        findOrgInstallation: {
-            deprecated: string;
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        findRepoInstallation: {
-            deprecated: string;
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        findUserInstallation: {
-            deprecated: string;
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getAuthenticated: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {};
-            url: string;
-        };
-        getBySlug: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                app_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getInstallation: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                installation_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getOrgInstallation: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getRepoInstallation: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getUserInstallation: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listAccountsUserOrOrgOnPlan: {
-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                plan_id: {
-                    required: boolean;
-                    type: string;
-                };
-                sort: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listAccountsUserOrOrgOnPlanStubbed: {
-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                plan_id: {
-                    required: boolean;
-                    type: string;
-                };
-                sort: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listInstallationReposForAuthenticatedUser: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                installation_id: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listInstallations: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listInstallationsForAuthenticatedUser: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listMarketplacePurchasesForAuthenticatedUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listMarketplacePurchasesForAuthenticatedUserStubbed: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPlans: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPlansStubbed: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listRepos: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeRepoFromInstallation: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                installation_id: {
-                    required: boolean;
-                    type: string;
-                };
-                repository_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        resetAuthorization: {
-            deprecated: string;
-            method: string;
-            params: {
-                access_token: {
-                    required: boolean;
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        resetToken: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                access_token: {
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        revokeAuthorizationForApplication: {
-            deprecated: string;
-            method: string;
-            params: {
-                access_token: {
-                    required: boolean;
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        revokeGrantForApplication: {
-            deprecated: string;
-            method: string;
-            params: {
-                access_token: {
-                    required: boolean;
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        revokeInstallationToken: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {};
-            url: string;
-        };
-    };
-    checks: {
-        create: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                actions: {
-                    type: string;
-                };
-                "actions[].description": {
-                    required: boolean;
-                    type: string;
-                };
-                "actions[].identifier": {
-                    required: boolean;
-                    type: string;
-                };
-                "actions[].label": {
-                    required: boolean;
-                    type: string;
-                };
-                completed_at: {
-                    type: string;
-                };
-                conclusion: {
-                    enum: string[];
-                    type: string;
-                };
-                details_url: {
-                    type: string;
-                };
-                external_id: {
-                    type: string;
-                };
-                head_sha: {
-                    required: boolean;
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                output: {
-                    type: string;
-                };
-                "output.annotations": {
-                    type: string;
-                };
-                "output.annotations[].annotation_level": {
-                    enum: string[];
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].end_column": {
-                    type: string;
-                };
-                "output.annotations[].end_line": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].message": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].path": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].raw_details": {
-                    type: string;
-                };
-                "output.annotations[].start_column": {
-                    type: string;
-                };
-                "output.annotations[].start_line": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].title": {
-                    type: string;
-                };
-                "output.images": {
-                    type: string;
-                };
-                "output.images[].alt": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.images[].caption": {
-                    type: string;
-                };
-                "output.images[].image_url": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.summary": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.text": {
-                    type: string;
-                };
-                "output.title": {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                started_at: {
-                    type: string;
-                };
-                status: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                head_sha: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        get: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                check_run_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getSuite: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                check_suite_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listAnnotations: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                check_run_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listForRef: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                check_name: {
-                    type: string;
-                };
-                filter: {
-                    enum: string[];
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                ref: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                status: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listForSuite: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                check_name: {
-                    type: string;
-                };
-                check_suite_id: {
-                    required: boolean;
-                    type: string;
-                };
-                filter: {
-                    enum: string[];
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                status: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listSuitesForRef: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                app_id: {
-                    type: string;
-                };
-                check_name: {
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                ref: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        rerequestSuite: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                check_suite_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        setSuitesPreferences: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                auto_trigger_checks: {
-                    type: string;
-                };
-                "auto_trigger_checks[].app_id": {
-                    required: boolean;
-                    type: string;
-                };
-                "auto_trigger_checks[].setting": {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        update: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                actions: {
-                    type: string;
-                };
-                "actions[].description": {
-                    required: boolean;
-                    type: string;
-                };
-                "actions[].identifier": {
-                    required: boolean;
-                    type: string;
-                };
-                "actions[].label": {
-                    required: boolean;
-                    type: string;
-                };
-                check_run_id: {
-                    required: boolean;
-                    type: string;
-                };
-                completed_at: {
-                    type: string;
-                };
-                conclusion: {
-                    enum: string[];
-                    type: string;
-                };
-                details_url: {
-                    type: string;
-                };
-                external_id: {
-                    type: string;
-                };
-                name: {
-                    type: string;
-                };
-                output: {
-                    type: string;
-                };
-                "output.annotations": {
-                    type: string;
-                };
-                "output.annotations[].annotation_level": {
-                    enum: string[];
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].end_column": {
-                    type: string;
-                };
-                "output.annotations[].end_line": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].message": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].path": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].raw_details": {
-                    type: string;
-                };
-                "output.annotations[].start_column": {
-                    type: string;
-                };
-                "output.annotations[].start_line": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.annotations[].title": {
-                    type: string;
-                };
-                "output.images": {
-                    type: string;
-                };
-                "output.images[].alt": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.images[].caption": {
-                    type: string;
-                };
-                "output.images[].image_url": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.summary": {
-                    required: boolean;
-                    type: string;
-                };
-                "output.text": {
-                    type: string;
-                };
-                "output.title": {
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                started_at: {
-                    type: string;
-                };
-                status: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-    };
-    codesOfConduct: {
-        getConductCode: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                key: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getForRepo: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listConductCodes: {
-            headers: {
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-                    type: string;
-                };
-                repo_name: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateImport: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                vcs_password: {
-                    type: string;
-                };
-                vcs_username: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-    };
-    oauthAuthorizations: {
-        checkAuthorization: {
-            deprecated: string;
-            method: string;
-            params: {
-                access_token: {
-                    required: boolean;
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createAuthorization: {
-            deprecated: string;
-            method: string;
-            params: {
-                client_id: {
-                    type: string;
-                };
-                client_secret: {
-                    type: string;
-                };
-                fingerprint: {
-                    type: string;
-                };
-                note: {
-                    required: boolean;
-                    type: string;
-                };
-                note_url: {
-                    type: string;
-                };
-                scopes: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteAuthorization: {
-            deprecated: string;
-            method: string;
-            params: {
-                authorization_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteGrant: {
-            deprecated: string;
-            method: string;
-            params: {
-                grant_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getAuthorization: {
-            deprecated: string;
-            method: string;
-            params: {
-                authorization_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getGrant: {
-            deprecated: string;
-            method: string;
-            params: {
-                grant_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getOrCreateAuthorizationForApp: {
-            deprecated: string;
-            method: string;
-            params: {
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-                client_secret: {
-                    required: boolean;
-                    type: string;
-                };
-                fingerprint: {
-                    type: string;
-                };
-                note: {
-                    type: string;
-                };
-                note_url: {
-                    type: string;
-                };
-                scopes: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getOrCreateAuthorizationForAppAndFingerprint: {
-            deprecated: string;
-            method: string;
-            params: {
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-                client_secret: {
-                    required: boolean;
-                    type: string;
-                };
-                fingerprint: {
-                    required: boolean;
-                    type: string;
-                };
-                note: {
-                    type: string;
-                };
-                note_url: {
-                    type: string;
-                };
-                scopes: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getOrCreateAuthorizationForAppFingerprint: {
-            deprecated: string;
-            method: string;
-            params: {
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-                client_secret: {
-                    required: boolean;
-                    type: string;
-                };
-                fingerprint: {
-                    required: boolean;
-                    type: string;
-                };
-                note: {
-                    type: string;
-                };
-                note_url: {
-                    type: string;
-                };
-                scopes: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listAuthorizations: {
-            deprecated: string;
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listGrants: {
-            deprecated: string;
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        resetAuthorization: {
-            deprecated: string;
-            method: string;
-            params: {
-                access_token: {
-                    required: boolean;
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        revokeAuthorizationForApplication: {
-            deprecated: string;
-            method: string;
-            params: {
-                access_token: {
-                    required: boolean;
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        revokeGrantForApplication: {
-            deprecated: string;
-            method: string;
-            params: {
-                access_token: {
-                    required: boolean;
-                    type: string;
-                };
-                client_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateAuthorization: {
-            deprecated: string;
-            method: string;
-            params: {
-                add_scopes: {
-                    type: string;
-                };
-                authorization_id: {
-                    required: boolean;
-                    type: string;
-                };
-                fingerprint: {
-                    type: string;
-                };
-                note: {
-                    type: string;
-                };
-                note_url: {
-                    type: string;
-                };
-                remove_scopes: {
-                    type: string;
-                };
-                scopes: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-    };
-    orgs: {
-        addOrUpdateMembership: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                role: {
-                    enum: string[];
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        blockUser: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkBlockedUser: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkMembership: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkPublicMembership: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        concealMembership: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        convertMemberToOutsideCollaborator: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createHook: {
-            method: string;
-            params: {
-                active: {
-                    type: string;
-                };
-                config: {
-                    required: boolean;
-                    type: string;
-                };
-                "config.content_type": {
-                    type: string;
-                };
-                "config.insecure_ssl": {
-                    type: string;
-                };
-                "config.secret": {
-                    type: string;
-                };
-                "config.url": {
-                    required: boolean;
-                    type: string;
-                };
-                events: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createInvitation: {
-            method: string;
-            params: {
-                email: {
-                    type: string;
-                };
-                invitee_id: {
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                role: {
-                    enum: string[];
-                    type: string;
-                };
-                team_ids: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteHook: {
-            method: string;
-            params: {
-                hook_id: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        get: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getHook: {
-            method: string;
-            params: {
-                hook_id: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getMembership: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getMembershipForAuthenticatedUser: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        list: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                since: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listBlockedUsers: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listForAuthenticatedUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listHooks: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listInstallations: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listInvitationTeams: {
-            method: string;
-            params: {
-                invitation_id: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listMembers: {
-            method: string;
-            params: {
-                filter: {
-                    enum: string[];
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                role: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listMemberships: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                state: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listOutsideCollaborators: {
-            method: string;
-            params: {
-                filter: {
-                    enum: string[];
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPendingInvitations: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublicMembers: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        pingHook: {
-            method: string;
-            params: {
-                hook_id: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        publicizeMembership: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeMember: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeMembership: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeOutsideCollaborator: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        unblockUser: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        update: {
-            method: string;
-            params: {
-                billing_email: {
-                    type: string;
-                };
-                company: {
-                    type: string;
-                };
-                default_repository_permission: {
-                    enum: string[];
-                    type: string;
-                };
-                description: {
-                    type: string;
-                };
-                email: {
-                    type: string;
-                };
-                has_organization_projects: {
-                    type: string;
-                };
-                has_repository_projects: {
-                    type: string;
-                };
-                location: {
-                    type: string;
-                };
-                members_allowed_repository_creation_type: {
-                    enum: string[];
-                    type: string;
-                };
-                members_can_create_internal_repositories: {
-                    type: string;
-                };
-                members_can_create_private_repositories: {
-                    type: string;
-                };
-                members_can_create_public_repositories: {
-                    type: string;
-                };
-                members_can_create_repositories: {
-                    type: string;
-                };
-                name: {
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateHook: {
-            method: string;
-            params: {
-                active: {
-                    type: string;
-                };
-                config: {
-                    type: string;
-                };
-                "config.content_type": {
-                    type: string;
-                };
-                "config.insecure_ssl": {
-                    type: string;
-                };
-                "config.secret": {
-                    type: string;
-                };
-                "config.url": {
-                    required: boolean;
-                    type: string;
-                };
-                events: {
-                    type: string;
-                };
-                hook_id: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateMembership: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                state: {
-                    enum: string[];
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-    };
-    projects: {
-        addCollaborator: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                permission: {
-                    enum: string[];
-                    type: string;
-                };
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createCard: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                column_id: {
-                    required: boolean;
-                    type: string;
-                };
-                content_id: {
-                    type: string;
-                };
-                content_type: {
-                    type: string;
-                };
-                note: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createColumn: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createForAuthenticatedUser: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                body: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createForOrg: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                body: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createForRepo: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                body: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        delete: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteCard: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                card_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteColumn: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                column_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        get: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getCard: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                card_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getColumn: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                column_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listCards: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                archived_state: {
-                    enum: string[];
-                    type: string;
-                };
-                column_id: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
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-                    type: string;
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-                    type: string;
-                };
-                repo: {
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-                    type: string;
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-                };
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-                    type: string;
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-                    type: string;
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-                "config.secret": {
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-                "config.url": {
-                    required: boolean;
-                    type: string;
-                };
-                events: {
-                    type: string;
-                };
-                name: {
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createInOrg: {
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-            params: {
-                allow_merge_commit: {
-                    type: string;
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-                allow_rebase_merge: {
-                    type: string;
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-                allow_squash_merge: {
-                    type: string;
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-                auto_init: {
-                    type: string;
-                };
-                delete_branch_on_merge: {
-                    type: string;
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-                    type: string;
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-                gitignore_template: {
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-                has_issues: {
-                    type: string;
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-                has_projects: {
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-                has_wiki: {
-                    type: string;
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-                homepage: {
-                    type: string;
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-                is_template: {
-                    type: string;
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-                license_template: {
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-                    type: string;
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-                org: {
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-                    type: string;
-                };
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-                    type: string;
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-                team_id: {
-                    type: string;
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-                author: {
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-                "author.email": {
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-                    type: string;
-                };
-                "author.name": {
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-                    type: string;
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-                committer: {
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-                "committer.email": {
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-                };
-                "committer.name": {
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-                    type: string;
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-                    required: boolean;
-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    required: boolean;
-                    type: string;
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-                    type: string;
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-                draft: {
-                    type: string;
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-                name: {
-                    type: string;
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-                prerelease: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
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-                tag_name: {
-                    required: boolean;
-                    type: string;
-                };
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-                    type: string;
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-                    type: string;
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-                description: {
-                    type: string;
-                };
-                owner: {
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-                repo: {
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-                    type: string;
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-                owner: {
-                    type: string;
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-                private: {
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-        declineInvitation: {
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-            params: {
-                invitation_id: {
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-                    type: string;
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-                    type: string;
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-            url: string;
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-        deleteCommitComment: {
-            method: string;
-            params: {
-                comment_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
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-                    type: string;
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-            url: string;
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-        deleteDownload: {
-            method: string;
-            params: {
-                download_id: {
-                    required: boolean;
-                    type: string;
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-                owner: {
-                    required: boolean;
-                    type: string;
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-                repo: {
-                    required: boolean;
-                    type: string;
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-            };
-            url: string;
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-        deleteFile: {
-            method: string;
-            params: {
-                author: {
-                    type: string;
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-                "author.email": {
-                    type: string;
-                };
-                "author.name": {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                "committer.name": {
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-                    type: string;
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-                invitation_id: {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-            params: {
-                asset_id: {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-            url: string;
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-            params: {
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-            params: {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                owner: {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                username: {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    deprecated: boolean;
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-                owner: {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                sha: {
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-                    type: string;
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-                    type: string;
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-                owner: {
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-                    type: string;
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-            params: {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                repo: {
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-                    type: string;
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-            url: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                repo: {
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-                    type: string;
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-                    type: string;
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-                repo: {
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-                    type: string;
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-            url: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                owner: {
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-                    type: string;
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-                repo: {
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-                    type: string;
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-            url: string;
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-        getLatestPagesBuild: {
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-                    type: string;
-                };
-                repo: {
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-                    type: string;
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-            url: string;
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-        getLatestRelease: {
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-            params: {
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-                    required: boolean;
-                    type: string;
-                };
-                repo: {
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-                    type: string;
-                };
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-            url: string;
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-        getPages: {
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-            params: {
-                owner: {
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-                    type: string;
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-                repo: {
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-                    type: string;
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-            };
-            url: string;
-        };
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-            params: {
-                build_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
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-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
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-        getParticipationStats: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
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-        getProtectedBranchAdminEnforcement: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
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-                    type: string;
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-            };
-            url: string;
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-        getProtectedBranchPullRequestReviewEnforcement: {
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-            params: {
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-                    required: boolean;
-                    type: string;
-                };
-                owner: {
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-                    type: string;
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-                repo: {
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-                    type: string;
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-            url: string;
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-            };
-            method: string;
-            params: {
-                branch: {
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-                    type: string;
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-                owner: {
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-                    type: string;
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-                repo: {
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-                    type: string;
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-            url: string;
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-                    type: string;
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-                owner: {
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-                    type: string;
-                };
-                repo: {
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-                    type: string;
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-            url: string;
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-        getProtectedBranchRestrictions: {
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-            params: {
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-                    type: string;
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-                owner: {
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-                    type: string;
-                };
-                repo: {
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-                    type: string;
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-            url: string;
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-            params: {
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-                    type: string;
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-                repo: {
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-                    type: string;
-                };
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-            url: string;
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-        getReadme: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                ref: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getRelease: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                release_id: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getReleaseAsset: {
-            method: string;
-            params: {
-                asset_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getReleaseByTag: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                tag: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getTeamsWithAccessToProtectedBranch: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getTopPaths: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getTopReferrers: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getUsersWithAccessToProtectedBranch: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getViews: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                per: {
-                    enum: string[];
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        list: {
-            method: string;
-            params: {
-                affiliation: {
-                    type: string;
-                };
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                sort: {
-                    enum: string[];
-                    type: string;
-                };
-                type: {
-                    enum: string[];
-                    type: string;
-                };
-                visibility: {
-                    enum: string[];
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listAppsWithAccessToProtectedBranch: {
-            deprecated: string;
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listAssetsForRelease: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                release_id: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listBranches: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                protected: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listBranchesForHeadCommit: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                commit_sha: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
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-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listCollaborators: {
-            method: string;
-            params: {
-                affiliation: {
-                    enum: string[];
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
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-                    type: string;
-                };
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-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
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-        listCommentsForCommit: {
-            method: string;
-            params: {
-                commit_sha: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
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-                    type: string;
-                };
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-                };
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-                };
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-                    deprecated: boolean;
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-            url: string;
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-        listCommitComments: {
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-            params: {
-                owner: {
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-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
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-                repo: {
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-                    type: string;
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-            };
-            url: string;
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-            params: {
-                author: {
-                    type: string;
-                };
-                owner: {
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-                    type: string;
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-                page: {
-                    type: string;
-                };
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-                    type: string;
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-            params: {
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-                    type: string;
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-            params: {
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-                    type: string;
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-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
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-                };
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-                    type: string;
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-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
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-                    type: string;
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-                repo: {
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-                    type: string;
-                };
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-            url: string;
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-        listForOrg: {
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-            params: {
-                direction: {
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-                    type: string;
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-                org: {
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-                    type: string;
-                };
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-                };
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-                    type: string;
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-                type: {
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-                    type: string;
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-            url: string;
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-        listForUser: {
-            method: string;
-            params: {
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-                    enum: string[];
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
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-                sort: {
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-                    type: string;
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-                type: {
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-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
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-            };
-            url: string;
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-        listForks: {
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-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
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-                repo: {
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-                    type: string;
-                };
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-                    type: string;
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-            };
-            url: string;
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-        listHooks: {
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-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listInvitations: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listInvitationsForAuthenticatedUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listLanguages: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPagesBuilds: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listProtectedBranchRequiredStatusChecksContexts: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listProtectedBranchTeamRestrictions: {
-            deprecated: string;
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listProtectedBranchUserRestrictions: {
-            deprecated: string;
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublic: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                since: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPullRequestsAssociatedWithCommit: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                commit_sha: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
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-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listReleases: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listStatusesForRef: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
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-                    type: string;
-                };
-                repo: {
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-                    type: string;
-                };
-            };
-            url: string;
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-        listTags: {
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-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                repo: {
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-                    type: string;
-                };
-            };
-            url: string;
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-        listTeams: {
-            method: string;
-            params: {
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-                    required: boolean;
-                    type: string;
-                };
-                page: {
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-                per_page: {
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-                };
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-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
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-        listTeamsWithAccessToProtectedBranch: {
-            deprecated: string;
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
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-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listTopics: {
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-                accept: string;
-            };
-            method: string;
-            params: {
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-                    required: boolean;
-                    type: string;
-                };
-                repo: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listUsersWithAccessToProtectedBranch: {
-            deprecated: string;
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
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-                    type: string;
-                };
-                repo: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        merge: {
-            method: string;
-            params: {
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-                    type: string;
-                };
-                commit_message: {
-                    type: string;
-                };
-                head: {
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-                    type: string;
-                };
-                owner: {
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-                    type: string;
-                };
-                repo: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        pingHook: {
-            method: string;
-            params: {
-                hook_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeBranchProtection: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeCollaborator: {
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeDeployKey: {
-            method: string;
-            params: {
-                key_id: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchAdminEnforcement: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchAppRestrictions: {
-            method: string;
-            params: {
-                apps: {
-                    mapTo: string;
-                    required: boolean;
-                    type: string;
-                };
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchPullRequestReviewEnforcement: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchRequiredSignatures: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchRequiredStatusChecks: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchRequiredStatusChecksContexts: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                contexts: {
-                    mapTo: string;
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchRestrictions: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchTeamRestrictions: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                teams: {
-                    mapTo: string;
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProtectedBranchUserRestrictions: {
-            method: string;
-            params: {
-                branch: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
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-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkManagesRepoLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        create: {
-            method: string;
-            params: {
-                description: {
-                    type: string;
-                };
-                maintainers: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                parent_team_id: {
-                    type: string;
-                };
-                permission: {
-                    enum: string[];
-                    type: string;
-                };
-                privacy: {
-                    enum: string[];
-                    type: string;
-                };
-                repo_names: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createDiscussion: {
-            deprecated: string;
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                private: {
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                title: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createDiscussionComment: {
-            deprecated: string;
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createDiscussionCommentInOrg: {
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createDiscussionCommentLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createDiscussionInOrg: {
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                private: {
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-                title: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createDiscussionLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                private: {
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                title: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        delete: {
-            deprecated: string;
-            method: string;
-            params: {
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteDiscussion: {
-            deprecated: string;
-            method: string;
-            params: {
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteDiscussionComment: {
-            deprecated: string;
-            method: string;
-            params: {
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteDiscussionCommentInOrg: {
-            method: string;
-            params: {
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteDiscussionCommentLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteDiscussionInOrg: {
-            method: string;
-            params: {
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteDiscussionLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteInOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                team_id: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
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-            params: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getDiscussion: {
-            deprecated: string;
-            method: string;
-            params: {
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getDiscussionComment: {
-            deprecated: string;
-            method: string;
-            params: {
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getDiscussionCommentInOrg: {
-            method: string;
-            params: {
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getDiscussionCommentLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getDiscussionInOrg: {
-            method: string;
-            params: {
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getMembership: {
-            deprecated: string;
-            method: string;
-            params: {
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getMembershipInOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
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-                    type: string;
-                };
-            };
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-        };
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-                    type: string;
-                };
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-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            params: {
-                org: {
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-                    type: string;
-                };
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-                    type: string;
-                };
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-                };
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-                    type: string;
-                };
-            };
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-        };
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-            method: string;
-            params: {
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-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listDiscussionCommentsInOrg: {
-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
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-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                discussion_number: {
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-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_id: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listDiscussionsInOrg: {
-            method: string;
-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listDiscussionsLegacy: {
-            deprecated: string;
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-            params: {
-                direction: {
-                    enum: string[];
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listForAuthenticatedUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listMembers: {
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-            method: string;
-            params: {
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-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
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-                    type: string;
-                };
-                team_id: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listMembersInOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                role: {
-                    enum: string[];
-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                role: {
-                    enum: string[];
-                    type: string;
-                };
-                team_id: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPendingInvitations: {
-            deprecated: string;
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPendingInvitationsInOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPendingInvitationsLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listProjects: {
-            deprecated: string;
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-                accept: string;
-            };
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listProjectsInOrg: {
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-                accept: string;
-            };
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listProjectsLegacy: {
-            deprecated: string;
-            headers: {
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-            };
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_id: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
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-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listReposInOrg: {
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-            params: {
-                org: {
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-                    type: string;
-                };
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                team_slug: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
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-            deprecated: string;
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeMember: {
-            deprecated: string;
-            method: string;
-            params: {
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-                    type: string;
-                };
-                username: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeMemberLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeMembership: {
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-            method: string;
-            params: {
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeMembershipInOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeMembershipLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
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-                    required: boolean;
-                    type: string;
-                };
-                username: {
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-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProject: {
-            deprecated: string;
-            method: string;
-            params: {
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-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProjectInOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeProjectLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeRepo: {
-            deprecated: string;
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeRepoInOrg: {
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        removeRepoLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                owner: {
-                    required: boolean;
-                    type: string;
-                };
-                repo: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        reviewProject: {
-            deprecated: string;
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        reviewProjectInOrg: {
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        reviewProjectLegacy: {
-            deprecated: string;
-            headers: {
-                accept: string;
-            };
-            method: string;
-            params: {
-                project_id: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        update: {
-            deprecated: string;
-            method: string;
-            params: {
-                description: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                parent_team_id: {
-                    type: string;
-                };
-                permission: {
-                    enum: string[];
-                    type: string;
-                };
-                privacy: {
-                    enum: string[];
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateDiscussion: {
-            deprecated: string;
-            method: string;
-            params: {
-                body: {
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                title: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateDiscussionComment: {
-            deprecated: string;
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateDiscussionCommentInOrg: {
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateDiscussionCommentLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                body: {
-                    required: boolean;
-                    type: string;
-                };
-                comment_number: {
-                    required: boolean;
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateDiscussionInOrg: {
-            method: string;
-            params: {
-                body: {
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-                title: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateDiscussionLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                body: {
-                    type: string;
-                };
-                discussion_number: {
-                    required: boolean;
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-                title: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateInOrg: {
-            method: string;
-            params: {
-                description: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                org: {
-                    required: boolean;
-                    type: string;
-                };
-                parent_team_id: {
-                    type: string;
-                };
-                permission: {
-                    enum: string[];
-                    type: string;
-                };
-                privacy: {
-                    enum: string[];
-                    type: string;
-                };
-                team_slug: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateLegacy: {
-            deprecated: string;
-            method: string;
-            params: {
-                description: {
-                    type: string;
-                };
-                name: {
-                    required: boolean;
-                    type: string;
-                };
-                parent_team_id: {
-                    type: string;
-                };
-                permission: {
-                    enum: string[];
-                    type: string;
-                };
-                privacy: {
-                    enum: string[];
-                    type: string;
-                };
-                team_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-    };
-    users: {
-        addEmails: {
-            method: string;
-            params: {
-                emails: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        block: {
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkBlocked: {
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkFollowing: {
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        checkFollowingForUser: {
-            method: string;
-            params: {
-                target_user: {
-                    required: boolean;
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createGpgKey: {
-            method: string;
-            params: {
-                armored_public_key: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        createPublicKey: {
-            method: string;
-            params: {
-                key: {
-                    type: string;
-                };
-                title: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteEmails: {
-            method: string;
-            params: {
-                emails: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deleteGpgKey: {
-            method: string;
-            params: {
-                gpg_key_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        deletePublicKey: {
-            method: string;
-            params: {
-                key_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        follow: {
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getAuthenticated: {
-            method: string;
-            params: {};
-            url: string;
-        };
-        getByUsername: {
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getContextForUser: {
-            method: string;
-            params: {
-                subject_id: {
-                    type: string;
-                };
-                subject_type: {
-                    enum: string[];
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getGpgKey: {
-            method: string;
-            params: {
-                gpg_key_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        getPublicKey: {
-            method: string;
-            params: {
-                key_id: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        list: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                since: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listBlocked: {
-            method: string;
-            params: {};
-            url: string;
-        };
-        listEmails: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listFollowersForAuthenticatedUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listFollowersForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listFollowingForAuthenticatedUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listFollowingForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listGpgKeys: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listGpgKeysForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublicEmails: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublicKeys: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        listPublicKeysForUser: {
-            method: string;
-            params: {
-                page: {
-                    type: string;
-                };
-                per_page: {
-                    type: string;
-                };
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        togglePrimaryEmailVisibility: {
-            method: string;
-            params: {
-                email: {
-                    required: boolean;
-                    type: string;
-                };
-                visibility: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        unblock: {
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        unfollow: {
-            method: string;
-            params: {
-                username: {
-                    required: boolean;
-                    type: string;
-                };
-            };
-            url: string;
-        };
-        updateAuthenticated: {
-            method: string;
-            params: {
-                bio: {
-                    type: string;
-                };
-                blog: {
-                    type: string;
-                };
-                company: {
-                    type: string;
-                };
-                email: {
-                    type: string;
-                };
-                hireable: {
-                    type: string;
-                };
-                location: {
-                    type: string;
-                };
-                name: {
-                    type: string;
-                };
-            };
-            url: string;
-        };
-    };
-};
-export default _default;
+import { EndpointsDefaultsAndDecorations } from "../types";
+declare const Endpoints: EndpointsDefaultsAndDecorations;
+export default Endpoints;
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/method-types.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/method-types.d.ts
new file mode 100644
index 000000000..bfa50b6ee
--- /dev/null
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/method-types.d.ts
@@ -0,0 +1,6588 @@
+import { EndpointInterface, RequestInterface } from "@octokit/types";
+import { RestEndpointMethodTypes } from "./parameters-and-response-types";
+export declare type RestEndpointMethods = {
+    actions: {
+        /**
+         * Adds a repository to an organization secret when the `visibility` for repository access is set to `selected`. The visibility is set when you [Create or update an organization secret](https://developer.github.com/v3/actions/secrets/#create-or-update-an-organization-secret). You must authenticate using an access token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to use this endpoint.
+         */
+        addSelectedRepoToOrgSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["addSelectedRepoToOrgSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["addSelectedRepoToOrgSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Cancels a workflow run using its `id`. You must authenticate using an access token with the `repo` scope to use this endpoint. GitHub Apps must have the `actions:write` permission to use this endpoint.
+         */
+        cancelWorkflowRun: {
+            (params?: RestEndpointMethodTypes["actions"]["cancelWorkflowRun"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["cancelWorkflowRun"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates or updates an organization secret with an encrypted value. Encrypt your secret using
+         * [LibSodium](https://libsodium.gitbook.io/doc/bindings_for_other_languages). You must authenticate using an access
+         * token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to
+         * use this endpoint.
+         *
+         * #### Example encrypting a secret using Node.js
+         *
+         * Encrypt your secret using the [tweetsodium](https://github.com/github/tweetsodium) library.
+         *
+         * ```
+         * const sodium = require('tweetsodium');
+         *
+         * const key = "base64-encoded-public-key";
+         * const value = "plain-text-secret";
+         *
+         * // Convert the message and key to Uint8Array's (Buffer implements that interface)
+         * const messageBytes = Buffer.from(value);
+         * const keyBytes = Buffer.from(key, 'base64');
+         *
+         * // Encrypt using LibSodium.
+         * const encryptedBytes = sodium.seal(messageBytes, keyBytes);
+         *
+         * // Base64 the encrypted secret
+         * const encrypted = Buffer.from(encryptedBytes).toString('base64');
+         *
+         * console.log(encrypted);
+         * ```
+         *
+         *
+         * #### Example encrypting a secret using Python
+         *
+         * Encrypt your secret using [pynacl](https://pynacl.readthedocs.io/en/stable/public/#nacl-public-sealedbox) with Python 3.
+         *
+         * ```
+         * from base64 import b64encode
+         * from nacl import encoding, public
+         *
+         * def encrypt(public_key: str, secret_value: str) -> str:
+         *   """Encrypt a Unicode string using the public key."""
+         *   public_key = public.PublicKey(public_key.encode("utf-8"), encoding.Base64Encoder())
+         *   sealed_box = public.SealedBox(public_key)
+         *   encrypted = sealed_box.encrypt(secret_value.encode("utf-8"))
+         *   return b64encode(encrypted).decode("utf-8")
+         * ```
+         *
+         * #### Example encrypting a secret using C#
+         *
+         * Encrypt your secret using the [Sodium.Core](https://www.nuget.org/packages/Sodium.Core/) package.
+         *
+         * ```
+         * var secretValue = System.Text.Encoding.UTF8.GetBytes("mySecret");
+         * var publicKey = Convert.FromBase64String("2Sg8iYjAxxmI2LvUXpJjkYrMxURPc8r+dB7TJyvvcCU=");
+         *
+         * var sealedPublicKeyBox = Sodium.SealedPublicKeyBox.Create(secretValue, publicKey);
+         *
+         * Console.WriteLine(Convert.ToBase64String(sealedPublicKeyBox));
+         * ```
+         *
+         * #### Example encrypting a secret using Ruby
+         *
+         * Encrypt your secret using the [rbnacl](https://github.com/RubyCrypto/rbnacl) gem.
+         *
+         * ```ruby
+         * require "rbnacl"
+         * require "base64"
+         *
+         * key = Base64.decode64("+ZYvJDZMHUfBkJdyq5Zm9SKqeuBQ4sj+6sfjlH4CgG0=")
+         * public_key = RbNaCl::PublicKey.new(key)
+         *
+         * box = RbNaCl::Boxes::Sealed.from_public_key(public_key)
+         * encrypted_secret = box.encrypt("my_secret")
+         *
+         * # Print the base64 encoded secret
+         * puts Base64.strict_encode64(encrypted_secret)
+         * ```
+         */
+        createOrUpdateOrgSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["createOrUpdateOrgSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["createOrUpdateOrgSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates or updates a repository secret with an encrypted value. Encrypt your secret using
+         * [LibSodium](https://libsodium.gitbook.io/doc/bindings_for_other_languages). You must authenticate using an access
+         * token with the `repo` scope to use this endpoint. GitHub Apps must have the `secrets` repository permission to use
+         * this endpoint.
+         *
+         * #### Example encrypting a secret using Node.js
+         *
+         * Encrypt your secret using the [tweetsodium](https://github.com/github/tweetsodium) library.
+         *
+         * ```
+         * const sodium = require('tweetsodium');
+         *
+         * const key = "base64-encoded-public-key";
+         * const value = "plain-text-secret";
+         *
+         * // Convert the message and key to Uint8Array's (Buffer implements that interface)
+         * const messageBytes = Buffer.from(value);
+         * const keyBytes = Buffer.from(key, 'base64');
+         *
+         * // Encrypt using LibSodium.
+         * const encryptedBytes = sodium.seal(messageBytes, keyBytes);
+         *
+         * // Base64 the encrypted secret
+         * const encrypted = Buffer.from(encryptedBytes).toString('base64');
+         *
+         * console.log(encrypted);
+         * ```
+         *
+         *
+         * #### Example encrypting a secret using Python
+         *
+         * Encrypt your secret using [pynacl](https://pynacl.readthedocs.io/en/stable/public/#nacl-public-sealedbox) with Python 3.
+         *
+         * ```
+         * from base64 import b64encode
+         * from nacl import encoding, public
+         *
+         * def encrypt(public_key: str, secret_value: str) -> str:
+         *   """Encrypt a Unicode string using the public key."""
+         *   public_key = public.PublicKey(public_key.encode("utf-8"), encoding.Base64Encoder())
+         *   sealed_box = public.SealedBox(public_key)
+         *   encrypted = sealed_box.encrypt(secret_value.encode("utf-8"))
+         *   return b64encode(encrypted).decode("utf-8")
+         * ```
+         *
+         * #### Example encrypting a secret using C#
+         *
+         * Encrypt your secret using the [Sodium.Core](https://www.nuget.org/packages/Sodium.Core/) package.
+         *
+         * ```
+         * var secretValue = System.Text.Encoding.UTF8.GetBytes("mySecret");
+         * var publicKey = Convert.FromBase64String("2Sg8iYjAxxmI2LvUXpJjkYrMxURPc8r+dB7TJyvvcCU=");
+         *
+         * var sealedPublicKeyBox = Sodium.SealedPublicKeyBox.Create(secretValue, publicKey);
+         *
+         * Console.WriteLine(Convert.ToBase64String(sealedPublicKeyBox));
+         * ```
+         *
+         * #### Example encrypting a secret using Ruby
+         *
+         * Encrypt your secret using the [rbnacl](https://github.com/RubyCrypto/rbnacl) gem.
+         *
+         * ```ruby
+         * require "rbnacl"
+         * require "base64"
+         *
+         * key = Base64.decode64("+ZYvJDZMHUfBkJdyq5Zm9SKqeuBQ4sj+6sfjlH4CgG0=")
+         * public_key = RbNaCl::PublicKey.new(key)
+         *
+         * box = RbNaCl::Boxes::Sealed.from_public_key(public_key)
+         * encrypted_secret = box.encrypt("my_secret")
+         *
+         * # Print the base64 encoded secret
+         * puts Base64.strict_encode64(encrypted_secret)
+         * ```
+         */
+        createOrUpdateRepoSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["createOrUpdateRepoSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["createOrUpdateRepoSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The self-hosted runners API for organizations is currently in public beta and subject to change.
+         *
+         *
+         * Returns a token that you can pass to the `config` script. The token expires after one hour. You must authenticate
+         * using an access token with the `admin:org` scope to use this endpoint.
+         *
+         * #### Example using registration token
+         *
+         * Configure your self-hosted runner, replacing `TOKEN` with the registration token provided by this endpoint.
+         *
+         * ```
+         * ./config.sh --url https://github.com/octo-org --token TOKEN
+         * ```
+         */
+        createRegistrationTokenForOrg: {
+            (params?: RestEndpointMethodTypes["actions"]["createRegistrationTokenForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["createRegistrationTokenForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns a token that you can pass to the `config` script. The token expires after one hour. You must authenticate
+         * using an access token with the `repo` scope to use this endpoint.
+         *
+         * #### Example using registration token
+         *
+         * Configure your self-hosted runner, replacing `TOKEN` with the registration token provided by this endpoint.
+         *
+         * ```
+         * ./config.sh --url https://github.com/octo-org/octo-repo-artifacts --token TOKEN
+         * ```
+         */
+        createRegistrationTokenForRepo: {
+            (params?: RestEndpointMethodTypes["actions"]["createRegistrationTokenForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["createRegistrationTokenForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The self-hosted runners API for organizations is currently in public beta and subject to change.
+         *
+         *
+         * Returns a token that you can pass to the `config` script to remove a self-hosted runner from an organization. The
+         * token expires after one hour. You must authenticate using an access token with the `admin:org` scope to use this
+         * endpoint.
+         *
+         * #### Example using remove token
+         *
+         * To remove your self-hosted runner from an organization, replace `TOKEN` with the remove token provided by this
+         * endpoint.
+         *
+         * ```
+         * ./config.sh remove --token TOKEN
+         * ```
+         */
+        createRemoveTokenForOrg: {
+            (params?: RestEndpointMethodTypes["actions"]["createRemoveTokenForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["createRemoveTokenForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns a token that you can pass to remove a self-hosted runner from a repository. The token expires after one hour.
+         * You must authenticate using an access token with the `repo` scope to use this endpoint.
+         *
+         * #### Example using remove token
+         *
+         * To remove your self-hosted runner from a repository, replace TOKEN with the remove token provided by this endpoint.
+         *
+         * ```
+         * ./config.sh remove --token TOKEN
+         * ```
+         */
+        createRemoveTokenForRepo: {
+            (params?: RestEndpointMethodTypes["actions"]["createRemoveTokenForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["createRemoveTokenForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * You can use this endpoint to manually trigger a GitHub Actions workflow run. You can also replace `{workflow_id}` with the workflow file name. For example, you could use `main.yml`.
+         *
+         * You must configure your GitHub Actions workflow to run when the [`workflow_dispatch` webhook](/developers/webhooks-and-events/webhook-events-and-payloads#workflow_dispatch) event occurs. The `inputs` are configured in the workflow file. For more information about how to configure the `workflow_dispatch` event in the workflow file, see "[Events that trigger workflows](/actions/reference/events-that-trigger-workflows#workflow_dispatch)."
+         *
+         * You must authenticate using an access token with the `repo` scope to use this endpoint. GitHub Apps must have the `actions:write` permission to use this endpoint. For more information, see "[Creating a personal access token for the command line](https://docs.github.com/articles/creating-a-personal-access-token-for-the-command-line)."
+         */
+        createWorkflowDispatch: {
+            (params?: RestEndpointMethodTypes["actions"]["createWorkflowDispatch"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["createWorkflowDispatch"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes an artifact for a workflow run. You must authenticate using an access token with the `repo` scope to use this endpoint. GitHub Apps must have the `actions:write` permission to use this endpoint.
+         */
+        deleteArtifact: {
+            (params?: RestEndpointMethodTypes["actions"]["deleteArtifact"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["deleteArtifact"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes a secret in an organization using the secret name. You must authenticate using an access token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to use this endpoint.
+         */
+        deleteOrgSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["deleteOrgSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["deleteOrgSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes a secret in a repository using the secret name. You must authenticate using an access token with the `repo` scope to use this endpoint. GitHub Apps must have the `secrets` repository permission to use this endpoint.
+         */
+        deleteRepoSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["deleteRepoSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["deleteRepoSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The self-hosted runners API for organizations is currently in public beta and subject to change.
+         *
+         * Forces the removal of a self-hosted runner from an organization. You can use this endpoint to completely remove the runner when the machine you were using no longer exists. You must authenticate using an access token with the `admin:org` scope to use this endpoint.
+         */
+        deleteSelfHostedRunnerFromOrg: {
+            (params?: RestEndpointMethodTypes["actions"]["deleteSelfHostedRunnerFromOrg"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["deleteSelfHostedRunnerFromOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Forces the removal of a self-hosted runner from a repository. You can use this endpoint to completely remove the runner when the machine you were using no longer exists. You must authenticate using an access token with the `repo` scope to use this endpoint.
+         */
+        deleteSelfHostedRunnerFromRepo: {
+            (params?: RestEndpointMethodTypes["actions"]["deleteSelfHostedRunnerFromRepo"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["deleteSelfHostedRunnerFromRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Delete a specific workflow run. Anyone with write access to the repository can use this endpoint. If the repository is
+         * private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:write` permission to use
+         * this endpoint.
+         */
+        deleteWorkflowRun: {
+            (params?: RestEndpointMethodTypes["actions"]["deleteWorkflowRun"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["deleteWorkflowRun"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes all logs for a workflow run. You must authenticate using an access token with the `repo` scope to use this endpoint. GitHub Apps must have the `actions:write` permission to use this endpoint.
+         */
+        deleteWorkflowRunLogs: {
+            (params?: RestEndpointMethodTypes["actions"]["deleteWorkflowRunLogs"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["deleteWorkflowRunLogs"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a redirect URL to download an archive for a repository. This URL expires after 1 minute. Look for `Location:` in
+         * the response header to find the URL for the download. The `:archive_format` must be `zip`. Anyone with read access to
+         * the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope.
+         * GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        downloadArtifact: {
+            (params?: RestEndpointMethodTypes["actions"]["downloadArtifact"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["downloadArtifact"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a redirect URL to download a plain text file of logs for a workflow job. This link expires after 1 minute. Look
+         * for `Location:` in the response header to find the URL for the download. Anyone with read access to the repository can
+         * use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must
+         * have the `actions:read` permission to use this endpoint.
+         */
+        downloadJobLogsForWorkflowRun: {
+            (params?: RestEndpointMethodTypes["actions"]["downloadJobLogsForWorkflowRun"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["downloadJobLogsForWorkflowRun"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a redirect URL to download an archive of log files for a workflow run. This link expires after 1 minute. Look for
+         * `Location:` in the response header to find the URL for the download. Anyone with read access to the repository can use
+         * this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have
+         * the `actions:read` permission to use this endpoint.
+         */
+        downloadWorkflowRunLogs: {
+            (params?: RestEndpointMethodTypes["actions"]["downloadWorkflowRunLogs"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["downloadWorkflowRunLogs"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a specific artifact for a workflow run. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        getArtifact: {
+            (params?: RestEndpointMethodTypes["actions"]["getArtifact"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getArtifact"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a specific job in a workflow run. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        getJobForWorkflowRun: {
+            (params?: RestEndpointMethodTypes["actions"]["getJobForWorkflowRun"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getJobForWorkflowRun"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets your public key, which you need to encrypt secrets. You need to encrypt a secret before you can create or update secrets. You must authenticate using an access token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to use this endpoint.
+         */
+        getOrgPublicKey: {
+            (params?: RestEndpointMethodTypes["actions"]["getOrgPublicKey"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getOrgPublicKey"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a single organization secret without revealing its encrypted value. You must authenticate using an access token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to use this endpoint.
+         */
+        getOrgSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["getOrgSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getOrgSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets your public key, which you need to encrypt secrets. You need to encrypt a secret before you can create or update secrets. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `secrets` repository permission to use this endpoint.
+         */
+        getRepoPublicKey: {
+            (params?: RestEndpointMethodTypes["actions"]["getRepoPublicKey"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getRepoPublicKey"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a single repository secret without revealing its encrypted value. You must authenticate using an access token with the `repo` scope to use this endpoint. GitHub Apps must have the `secrets` repository permission to use this endpoint.
+         */
+        getRepoSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["getRepoSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getRepoSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The self-hosted runners API for organizations is currently in public beta and subject to change.
+         *
+         * Gets a specific self-hosted runner for an organization. You must authenticate using an access token with the `admin:org` scope to use this endpoint.
+         */
+        getSelfHostedRunnerForOrg: {
+            (params?: RestEndpointMethodTypes["actions"]["getSelfHostedRunnerForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getSelfHostedRunnerForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a specific self-hosted runner. You must authenticate using an access token with the `repo` scope to use this endpoint.
+         */
+        getSelfHostedRunnerForRepo: {
+            (params?: RestEndpointMethodTypes["actions"]["getSelfHostedRunnerForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getSelfHostedRunnerForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a specific workflow. You can also replace `:workflow_id` with `:workflow_file_name`. For example, you could use `main.yml`. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        getWorkflow: {
+            (params?: RestEndpointMethodTypes["actions"]["getWorkflow"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getWorkflow"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a specific workflow run. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        getWorkflowRun: {
+            (params?: RestEndpointMethodTypes["actions"]["getWorkflowRun"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getWorkflowRun"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** This GitHub Actions usage endpoint is currently in public beta and subject to change. For more information, see "[GitHub Actions API workflow usage](https://developer.github.com/changes/2020-05-15-actions-api-workflow-usage)."
+         *
+         * Gets the number of billable minutes and total run time for a specific workflow run. Billable minutes only apply to workflows in private repositories that use GitHub-hosted runners. Usage is listed for each GitHub-hosted runner operating system in milliseconds. Any job re-runs are also included in the usage. The usage does not include the multiplier for macOS and Windows runners and is not rounded up to the nearest whole minute. For more information, see "[Managing billing for GitHub Actions](https://docs.github.com/github/setting-up-and-managing-billing-and-payments-on-github/managing-billing-for-github-actions)".
+         *
+         * Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        getWorkflowRunUsage: {
+            (params?: RestEndpointMethodTypes["actions"]["getWorkflowRunUsage"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getWorkflowRunUsage"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** This GitHub Actions usage endpoint is currently in public beta and subject to change. For more information, see "[GitHub Actions API workflow usage](https://developer.github.com/changes/2020-05-15-actions-api-workflow-usage)."
+         *
+         * Gets the number of billable minutes used by a specific workflow during the current billing cycle. Billable minutes only apply to workflows in private repositories that use GitHub-hosted runners. Usage is listed for each GitHub-hosted runner operating system in milliseconds. Any job re-runs are also included in the usage. The usage does not include the multiplier for macOS and Windows runners and is not rounded up to the nearest whole minute. For more information, see "[Managing billing for GitHub Actions](https://docs.github.com/github/setting-up-and-managing-billing-and-payments-on-github/managing-billing-for-github-actions)".
+         *
+         * You can also replace `:workflow_id` with `:workflow_file_name`. For example, you could use `main.yml`. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        getWorkflowUsage: {
+            (params?: RestEndpointMethodTypes["actions"]["getWorkflowUsage"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["getWorkflowUsage"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all artifacts for a repository. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        listArtifactsForRepo: {
+            (params?: RestEndpointMethodTypes["actions"]["listArtifactsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listArtifactsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists jobs for a workflow run. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint. You can use parameters to narrow the list of results. For more information about using parameters, see [Parameters](https://developer.github.com/v3/#parameters).
+         */
+        listJobsForWorkflowRun: {
+            (params?: RestEndpointMethodTypes["actions"]["listJobsForWorkflowRun"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listJobsForWorkflowRun"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all secrets available in an organization without revealing their encrypted values. You must authenticate using an access token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to use this endpoint.
+         */
+        listOrgSecrets: {
+            (params?: RestEndpointMethodTypes["actions"]["listOrgSecrets"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listOrgSecrets"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all secrets available in a repository without revealing their encrypted values. You must authenticate using an access token with the `repo` scope to use this endpoint. GitHub Apps must have the `secrets` repository permission to use this endpoint.
+         */
+        listRepoSecrets: {
+            (params?: RestEndpointMethodTypes["actions"]["listRepoSecrets"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listRepoSecrets"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the workflows in a repository. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        listRepoWorkflows: {
+            (params?: RestEndpointMethodTypes["actions"]["listRepoWorkflows"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listRepoWorkflows"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The self-hosted runners API for organizations is currently in public beta and subject to change.
+         *
+         * Lists binaries for the runner application that you can download and run. You must authenticate using an access token with the `admin:org` scope to use this endpoint.
+         */
+        listRunnerApplicationsForOrg: {
+            (params?: RestEndpointMethodTypes["actions"]["listRunnerApplicationsForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listRunnerApplicationsForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists binaries for the runner application that you can download and run. You must authenticate using an access token with the `repo` scope to use this endpoint.
+         */
+        listRunnerApplicationsForRepo: {
+            (params?: RestEndpointMethodTypes["actions"]["listRunnerApplicationsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listRunnerApplicationsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all repositories that have been selected when the `visibility` for repository access to a secret is set to `selected`. You must authenticate using an access token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to use this endpoint.
+         */
+        listSelectedReposForOrgSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["listSelectedReposForOrgSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listSelectedReposForOrgSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The self-hosted runners API for organizations is currently in public beta and subject to change.
+         *
+         * Lists all self-hosted runners for an organization. You must authenticate using an access token with the `admin:org` scope to use this endpoint.
+         */
+        listSelfHostedRunnersForOrg: {
+            (params?: RestEndpointMethodTypes["actions"]["listSelfHostedRunnersForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listSelfHostedRunnersForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all self-hosted runners for a repository. You must authenticate using an access token with the `repo` scope to use this endpoint.
+         */
+        listSelfHostedRunnersForRepo: {
+            (params?: RestEndpointMethodTypes["actions"]["listSelfHostedRunnersForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listSelfHostedRunnersForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists artifacts for a workflow run. Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        listWorkflowRunArtifacts: {
+            (params?: RestEndpointMethodTypes["actions"]["listWorkflowRunArtifacts"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listWorkflowRunArtifacts"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all workflow runs for a workflow. You can also replace `:workflow_id` with `:workflow_file_name`. For example, you could use `main.yml`. You can use parameters to narrow the list of results. For more information about using parameters, see [Parameters](https://developer.github.com/v3/#parameters).
+         *
+         * Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope.
+         */
+        listWorkflowRuns: {
+            (params?: RestEndpointMethodTypes["actions"]["listWorkflowRuns"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listWorkflowRuns"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all workflow runs for a repository. You can use parameters to narrow the list of results. For more information about using parameters, see [Parameters](https://developer.github.com/v3/#parameters).
+         *
+         * Anyone with read access to the repository can use this endpoint. If the repository is private you must use an access token with the `repo` scope. GitHub Apps must have the `actions:read` permission to use this endpoint.
+         */
+        listWorkflowRunsForRepo: {
+            (params?: RestEndpointMethodTypes["actions"]["listWorkflowRunsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["listWorkflowRunsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Re-runs your workflow run using its `id`. You must authenticate using an access token with the `repo` scope to use this endpoint. GitHub Apps must have the `actions:write` permission to use this endpoint.
+         */
+        reRunWorkflow: {
+            (params?: RestEndpointMethodTypes["actions"]["reRunWorkflow"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["reRunWorkflow"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes a repository from an organization secret when the `visibility` for repository access is set to `selected`. The visibility is set when you [Create or update an organization secret](https://developer.github.com/v3/actions/secrets/#create-or-update-an-organization-secret). You must authenticate using an access token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to use this endpoint.
+         */
+        removeSelectedRepoFromOrgSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["removeSelectedRepoFromOrgSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["removeSelectedRepoFromOrgSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Replaces all repositories for an organization secret when the `visibility` for repository access is set to `selected`. The visibility is set when you [Create or update an organization secret](https://developer.github.com/v3/actions/secrets/#create-or-update-an-organization-secret). You must authenticate using an access token with the `admin:org` scope to use this endpoint. GitHub Apps must have the `secrets` organization permission to use this endpoint.
+         */
+        setSelectedReposForOrgSecret: {
+            (params?: RestEndpointMethodTypes["actions"]["setSelectedReposForOrgSecret"]["parameters"]): Promise<RestEndpointMethodTypes["actions"]["setSelectedReposForOrgSecret"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    activity: {
+        checkRepoIsStarredByAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["checkRepoIsStarredByAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["checkRepoIsStarredByAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint should only be used to stop watching a repository. To control whether or not you wish to receive notifications from a repository, [set the repository's subscription manually](https://developer.github.com/v3/activity/watching/#set-a-repository-subscription).
+         */
+        deleteRepoSubscription: {
+            (params?: RestEndpointMethodTypes["activity"]["deleteRepoSubscription"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["deleteRepoSubscription"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Mutes all future notifications for a conversation until you comment on the thread or get an **@mention**. If you are watching the repository of the thread, you will still receive notifications. To ignore future notifications for a repository you are watching, use the [Set a thread subscription](https://developer.github.com/v3/activity/notifications/#set-a-thread-subscription) endpoint and set `ignore` to `true`.
+         */
+        deleteThreadSubscription: {
+            (params?: RestEndpointMethodTypes["activity"]["deleteThreadSubscription"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["deleteThreadSubscription"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * GitHub provides several timeline resources in [Atom](http://en.wikipedia.org/wiki/Atom_(standard)) format. The Feeds API lists all the feeds available to the authenticated user:
+         *
+         * *   **Timeline**: The GitHub global public timeline
+         * *   **User**: The public timeline for any user, using [URI template](https://developer.github.com/v3/#hypermedia)
+         * *   **Current user public**: The public timeline for the authenticated user
+         * *   **Current user**: The private timeline for the authenticated user
+         * *   **Current user actor**: The private timeline for activity created by the authenticated user
+         * *   **Current user organizations**: The private timeline for the organizations the authenticated user is a member of.
+         * *   **Security advisories**: A collection of public announcements that provide information about security-related vulnerabilities in software on GitHub.
+         *
+         * **Note**: Private feeds are only returned when [authenticating via Basic Auth](https://developer.github.com/v3/#basic-authentication) since current feed URIs use the older, non revocable auth tokens.
+         */
+        getFeeds: {
+            (params?: RestEndpointMethodTypes["activity"]["getFeeds"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["getFeeds"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getRepoSubscription: {
+            (params?: RestEndpointMethodTypes["activity"]["getRepoSubscription"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["getRepoSubscription"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getThread: {
+            (params?: RestEndpointMethodTypes["activity"]["getThread"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["getThread"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This checks to see if the current user is subscribed to a thread. You can also [get a repository subscription](https://developer.github.com/v3/activity/watching/#get-a-repository-subscription).
+         *
+         * Note that subscriptions are only generated if a user is participating in a conversation--for example, they've replied to the thread, were **@mentioned**, or manually subscribe to a thread.
+         */
+        getThreadSubscriptionForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["getThreadSubscriptionForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["getThreadSubscriptionForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * If you are authenticated as the given user, you will see your private events. Otherwise, you'll only see public events.
+         */
+        listEventsForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listEventsForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listEventsForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all notifications for the current user, sorted by most recently updated.
+         */
+        listNotificationsForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listNotificationsForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listNotificationsForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This is the user's organization dashboard. You must be authenticated as the user to view this.
+         */
+        listOrgEventsForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listOrgEventsForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listOrgEventsForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * We delay the public events feed by five minutes, which means the most recent event returned by the public events API actually occurred at least five minutes ago.
+         */
+        listPublicEvents: {
+            (params?: RestEndpointMethodTypes["activity"]["listPublicEvents"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listPublicEvents"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listPublicEventsForRepoNetwork: {
+            (params?: RestEndpointMethodTypes["activity"]["listPublicEventsForRepoNetwork"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listPublicEventsForRepoNetwork"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listPublicEventsForUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listPublicEventsForUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listPublicEventsForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listPublicOrgEvents: {
+            (params?: RestEndpointMethodTypes["activity"]["listPublicOrgEvents"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listPublicOrgEvents"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * These are events that you've received by watching repos and following users. If you are authenticated as the given user, you will see private events. Otherwise, you'll only see public events.
+         */
+        listReceivedEventsForUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listReceivedEventsForUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listReceivedEventsForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listReceivedPublicEventsForUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listReceivedPublicEventsForUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listReceivedPublicEventsForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listRepoEvents: {
+            (params?: RestEndpointMethodTypes["activity"]["listRepoEvents"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listRepoEvents"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all notifications for the current user.
+         */
+        listRepoNotificationsForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listRepoNotificationsForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listRepoNotificationsForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists repositories the authenticated user has starred.
+         *
+         * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
+         */
+        listReposStarredByAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listReposStarredByAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listReposStarredByAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists repositories a user has starred.
+         *
+         * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
+         */
+        listReposStarredByUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listReposStarredByUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listReposStarredByUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists repositories a user is watching.
+         */
+        listReposWatchedByUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listReposWatchedByUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listReposWatchedByUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the people that have starred the repository.
+         *
+         * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
+         */
+        listStargazersForRepo: {
+            (params?: RestEndpointMethodTypes["activity"]["listStargazersForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listStargazersForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists repositories the authenticated user is watching.
+         */
+        listWatchedReposForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["listWatchedReposForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listWatchedReposForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the people watching the specified repository.
+         */
+        listWatchersForRepo: {
+            (params?: RestEndpointMethodTypes["activity"]["listWatchersForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["listWatchersForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Marks all notifications as "read" removes it from the [default view on GitHub](https://github.com/notifications). If the number of notifications is too large to complete in one request, you will receive a `202 Accepted` status and GitHub will run an asynchronous process to mark notifications as "read." To check whether any "unread" notifications remain, you can use the [List notifications for the authenticated user](https://developer.github.com/v3/activity/notifications/#list-notifications-for-the-authenticated-user) endpoint and pass the query parameter `all=false`.
+         */
+        markNotificationsAsRead: {
+            (params?: RestEndpointMethodTypes["activity"]["markNotificationsAsRead"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["markNotificationsAsRead"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Marks all notifications in a repository as "read" removes them from the [default view on GitHub](https://github.com/notifications). If the number of notifications is too large to complete in one request, you will receive a `202 Accepted` status and GitHub will run an asynchronous process to mark notifications as "read." To check whether any "unread" notifications remain, you can use the [List repository notifications for the authenticated user](https://developer.github.com/v3/activity/notifications/#list-repository-notifications-for-the-authenticated-user) endpoint and pass the query parameter `all=false`.
+         */
+        markRepoNotificationsAsRead: {
+            (params?: RestEndpointMethodTypes["activity"]["markRepoNotificationsAsRead"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["markRepoNotificationsAsRead"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        markThreadAsRead: {
+            (params?: RestEndpointMethodTypes["activity"]["markThreadAsRead"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["markThreadAsRead"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * If you would like to watch a repository, set `subscribed` to `true`. If you would like to ignore notifications made within a repository, set `ignored` to `true`. If you would like to stop watching a repository, [delete the repository's subscription](https://developer.github.com/v3/activity/watching/#delete-a-repository-subscription) completely.
+         */
+        setRepoSubscription: {
+            (params?: RestEndpointMethodTypes["activity"]["setRepoSubscription"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["setRepoSubscription"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * If you are watching a repository, you receive notifications for all threads by default. Use this endpoint to ignore future notifications for threads until you comment on the thread or get an **@mention**.
+         *
+         * You can also use this endpoint to subscribe to threads that you are currently not receiving notifications for or to subscribed to threads that you have previously ignored.
+         *
+         * Unsubscribing from a conversation in a repository that you are not watching is functionally equivalent to the [Delete a thread subscription](https://developer.github.com/v3/activity/notifications/#delete-a-thread-subscription) endpoint.
+         */
+        setThreadSubscription: {
+            (params?: RestEndpointMethodTypes["activity"]["setThreadSubscription"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["setThreadSubscription"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+         */
+        starRepoForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["starRepoForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["starRepoForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        unstarRepoForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["activity"]["unstarRepoForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["activity"]["unstarRepoForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    apps: {
+        /**
+         * Add a single repository to an installation. The authenticated user must have admin access to the repository.
+         *
+         * You must use a personal access token (which you can create via the [command line](https://docs.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization)) or [Basic Authentication](https://developer.github.com/v3/auth/#basic-authentication) to access this endpoint.
+         */
+        addRepoToInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["addRepoToInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["addRepoToInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * OAuth applications can use a special API method for checking OAuth token validity without exceeding the normal rate limits for failed login attempts. Authentication works differently with this particular endpoint. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) to use this endpoint, where the username is the OAuth application `client_id` and the password is its `client_secret`. Invalid tokens will return `404 NOT FOUND`.
+         */
+        checkToken: {
+            (params?: RestEndpointMethodTypes["apps"]["checkToken"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["checkToken"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates an attachment under a content reference URL in the body or comment of an issue or pull request. Use the `id` of the content reference from the [`content_reference` event](https://developer.github.com/webhooks/event-payloads/#content_reference) to create an attachment.
+         *
+         * The app must create a content attachment within six hours of the content reference URL being posted. See "[Using content attachments](https://developer.github.com/apps/using-content-attachments/)" for details about content attachments.
+         *
+         * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
+         */
+        createContentAttachment: {
+            (params?: RestEndpointMethodTypes["apps"]["createContentAttachment"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["createContentAttachment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Use this endpoint to complete the handshake necessary when implementing the [GitHub App Manifest flow](https://developer.github.com/apps/building-github-apps/creating-github-apps-from-a-manifest/). When you create a GitHub App with the manifest flow, you receive a temporary `code` used to retrieve the GitHub App's `id`, `pem` (private key), and `webhook_secret`.
+         */
+        createFromManifest: {
+            (params?: RestEndpointMethodTypes["apps"]["createFromManifest"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["createFromManifest"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates an installation access token that enables a GitHub App to make authenticated API requests for the app's installation on an organization or individual account. Installation tokens expire one hour from the time you create them. Using an expired token produces a status code of `401 - Unauthorized`, and requires creating a new installation token. By default the installation token has access to all repositories that the installation can access. To restrict the access to specific repositories, you can provide the `repository_ids` when creating the token. When you omit `repository_ids`, the response does not contain the `repositories` key.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        createInstallationAccessToken: {
+            (params?: RestEndpointMethodTypes["apps"]["createInstallationAccessToken"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["createInstallationAccessToken"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * OAuth application owners can revoke a grant for their OAuth application and a specific user. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. You must also provide a valid OAuth `access_token` as an input parameter and the grant for the token's owner will be deleted.
+         *
+         * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for the user. Once deleted, the application will have no access to the user's account and will no longer be listed on [the application authorizations settings screen within GitHub](https://github.com/settings/applications#authorized).
+         */
+        deleteAuthorization: {
+            (params?: RestEndpointMethodTypes["apps"]["deleteAuthorization"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["deleteAuthorization"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Uninstalls a GitHub App on a user, organization, or business account. If you prefer to temporarily suspend an app's access to your account's resources, then we recommend the "[Suspend an app installation](https://developer.github.com/v3/apps/#suspend-an-app-installation)" endpoint.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        deleteInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["deleteInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["deleteInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * OAuth application owners can revoke a single token for an OAuth application. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password.
+         */
+        deleteToken: {
+            (params?: RestEndpointMethodTypes["apps"]["deleteToken"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["deleteToken"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns the GitHub App associated with the authentication credentials used. To see how many app installations are associated with this GitHub App, see the `installations_count` in the response. For more details about your app's installations, see the "[List installations for the authenticated app](https://developer.github.com/v3/apps/#list-installations-for-the-authenticated-app)" endpoint.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        getAuthenticated: {
+            (params?: RestEndpointMethodTypes["apps"]["getAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["getAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note**: The `:app_slug` is just the URL-friendly name of your GitHub App. You can find this on the settings page for your GitHub App (e.g., `https://github.com/settings/apps/:app_slug`).
+         *
+         * If the GitHub App you specify is public, you can access this endpoint without authenticating. If the GitHub App you specify is private, you must authenticate with a [personal access token](https://docs.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
+         */
+        getBySlug: {
+            (params?: RestEndpointMethodTypes["apps"]["getBySlug"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["getBySlug"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Enables an authenticated GitHub App to find an installation's information using the installation id. The installation's account type (`target_type`) will be either an organization or a user account, depending which account the repository belongs to.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        getInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["getInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["getInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Enables an authenticated GitHub App to find the organization's installation information.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        getOrgInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["getOrgInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["getOrgInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Enables an authenticated GitHub App to find the repository's installation information. The installation's account type will be either an organization or a user account, depending which account the repository belongs to.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        getRepoInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["getRepoInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["getRepoInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Shows whether the user or organization account actively subscribes to a plan listed by the authenticated GitHub App. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
+         *
+         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
+         */
+        getSubscriptionPlanForAccount: {
+            (params?: RestEndpointMethodTypes["apps"]["getSubscriptionPlanForAccount"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["getSubscriptionPlanForAccount"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Shows whether the user or organization account actively subscribes to a plan listed by the authenticated GitHub App. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
+         *
+         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
+         */
+        getSubscriptionPlanForAccountStubbed: {
+            (params?: RestEndpointMethodTypes["apps"]["getSubscriptionPlanForAccountStubbed"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["getSubscriptionPlanForAccountStubbed"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Enables an authenticated GitHub App to find the user’s installation information.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        getUserInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["getUserInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["getUserInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns user and organization accounts associated with the specified plan, including free plans. For per-seat pricing, you see the list of accounts that have purchased the plan, including the number of seats purchased. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
+         *
+         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
+         */
+        listAccountsForPlan: {
+            (params?: RestEndpointMethodTypes["apps"]["listAccountsForPlan"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listAccountsForPlan"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns repository and organization accounts associated with the specified plan, including free plans. For per-seat pricing, you see the list of accounts that have purchased the plan, including the number of seats purchased. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
+         *
+         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
+         */
+        listAccountsForPlanStubbed: {
+            (params?: RestEndpointMethodTypes["apps"]["listAccountsForPlanStubbed"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listAccountsForPlanStubbed"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List repositories that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access for an installation.
+         *
+         * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
+         *
+         * You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint.
+         *
+         * The access the user has to each repository is included in the hash under the `permissions` key.
+         */
+        listInstallationReposForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["apps"]["listInstallationReposForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listInstallationReposForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         *
+         * The permissions the installation has are included under the `permissions` key.
+         */
+        listInstallations: {
+            (params?: RestEndpointMethodTypes["apps"]["listInstallations"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listInstallations"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists installations of your GitHub App that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access.
+         *
+         * You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint.
+         *
+         * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
+         *
+         * You can find the permissions for the installation under the `permissions` key.
+         */
+        listInstallationsForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["apps"]["listInstallationsForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listInstallationsForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all plans that are part of your GitHub Marketplace listing.
+         *
+         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
+         */
+        listPlans: {
+            (params?: RestEndpointMethodTypes["apps"]["listPlans"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listPlans"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all plans that are part of your GitHub Marketplace listing.
+         *
+         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
+         */
+        listPlansStubbed: {
+            (params?: RestEndpointMethodTypes["apps"]["listPlansStubbed"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listPlansStubbed"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List repositories that an app installation can access.
+         *
+         * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
+         */
+        listReposAccessibleToInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["listReposAccessibleToInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listReposAccessibleToInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the active subscriptions for the authenticated user. You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint. . OAuth Apps must authenticate using an [OAuth token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/).
+         */
+        listSubscriptionsForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["apps"]["listSubscriptionsForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listSubscriptionsForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the active subscriptions for the authenticated user. You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint. . OAuth Apps must authenticate using an [OAuth token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/).
+         */
+        listSubscriptionsForAuthenticatedUserStubbed: {
+            (params?: RestEndpointMethodTypes["apps"]["listSubscriptionsForAuthenticatedUserStubbed"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["listSubscriptionsForAuthenticatedUserStubbed"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Remove a single repository from an installation. The authenticated user must have admin access to the repository.
+         *
+         * You must use a personal access token (which you can create via the [command line](https://docs.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization)) or [Basic Authentication](https://developer.github.com/v3/auth/#basic-authentication) to access this endpoint.
+         */
+        removeRepoFromInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["removeRepoFromInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["removeRepoFromInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * OAuth applications can use this API method to reset a valid OAuth token without end-user involvement. Applications must save the "token" property in the response because changes take effect immediately. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
+         */
+        resetToken: {
+            (params?: RestEndpointMethodTypes["apps"]["resetToken"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["resetToken"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Revokes the installation token you're using to authenticate as an installation and access this endpoint.
+         *
+         * Once an installation token is revoked, the token is invalidated and cannot be used. Other endpoints that require the revoked installation token must have a new installation token to work. You can create a new token using the "[Create an installation access token for an app](https://developer.github.com/v3/apps/#create-an-installation-access-token-for-an-app)" endpoint.
+         *
+         * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
+         */
+        revokeInstallationAccessToken: {
+            (params?: RestEndpointMethodTypes["apps"]["revokeInstallationAccessToken"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["revokeInstallationAccessToken"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** Suspending a GitHub App installation is currently in beta and subject to change. Before you can suspend a GitHub App, the app owner must enable suspending installations for the app by opting-in to the beta. For more information, see "[Suspending a GitHub App installation](https://developer.github.com/apps/managing-github-apps/suspending-a-github-app-installation/)."
+         *
+         * Suspends a GitHub App on a user, organization, or business account, which blocks the app from accessing the account's resources. When a GitHub App is suspended, the app's access to the GitHub API or webhook events is blocked for that account.
+         *
+         * To suspend a GitHub App, you must be an account owner or have admin permissions in the repository or organization where the app is installed.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        suspendInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["suspendInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["suspendInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** Suspending a GitHub App installation is currently in beta and subject to change. Before you can suspend a GitHub App, the app owner must enable suspending installations for the app by opting-in to the beta. For more information, see "[Suspending a GitHub App installation](https://developer.github.com/apps/managing-github-apps/suspending-a-github-app-installation/)."
+         *
+         * Removes a GitHub App installation suspension.
+         *
+         * To unsuspend a GitHub App, you must be an account owner or have admin permissions in the repository or organization where the app is installed and suspended.
+         *
+         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
+         */
+        unsuspendInstallation: {
+            (params?: RestEndpointMethodTypes["apps"]["unsuspendInstallation"]["parameters"]): Promise<RestEndpointMethodTypes["apps"]["unsuspendInstallation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    billing: {
+        /**
+         * **Warning:** The Billing API is currently in public beta and subject to change.
+         *
+         * Gets the summary of the free and paid GitHub Actions minutes used.
+         *
+         * Paid minutes only apply to workflows in private repositories that use GitHub-hosted runners. Minutes used is listed for each GitHub-hosted runner operating system. Any job re-runs are also included in the usage. The usage does not include the multiplier for macOS and Windows runners and is not rounded up to the nearest whole minute. For more information, see "[Managing billing for GitHub Actions](https://docs.github.com/github/setting-up-and-managing-billing-and-payments-on-github/managing-billing-for-github-actions)".
+         *
+         * Access tokens must have the `read:org` scope.
+         */
+        getGithubActionsBillingOrg: {
+            (params?: RestEndpointMethodTypes["billing"]["getGithubActionsBillingOrg"]["parameters"]): Promise<RestEndpointMethodTypes["billing"]["getGithubActionsBillingOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The Billing API is currently in public beta and subject to change.
+         *
+         * Gets the summary of the free and paid GitHub Actions minutes used.
+         *
+         * Paid minutes only apply to workflows in private repositories that use GitHub-hosted runners. Minutes used is listed for each GitHub-hosted runner operating system. Any job re-runs are also included in the usage. The usage does not include the multiplier for macOS and Windows runners and is not rounded up to the nearest whole minute. For more information, see "[Managing billing for GitHub Actions](https://docs.github.com/github/setting-up-and-managing-billing-and-payments-on-github/managing-billing-for-github-actions)".
+         *
+         * Access tokens must have the `user` scope.
+         */
+        getGithubActionsBillingUser: {
+            (params?: RestEndpointMethodTypes["billing"]["getGithubActionsBillingUser"]["parameters"]): Promise<RestEndpointMethodTypes["billing"]["getGithubActionsBillingUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The Billing API is currently in public beta and subject to change.
+         *
+         * Gets the free and paid storage usued for GitHub Packages in gigabytes.
+         *
+         * Paid minutes only apply to packages stored for private repositories. For more information, see "[Managing billing for GitHub Packages](https://docs.github.com/github/setting-up-and-managing-billing-and-payments-on-github/managing-billing-for-github-packages)."
+         *
+         * Access tokens must have the `read:org` scope.
+         */
+        getGithubPackagesBillingOrg: {
+            (params?: RestEndpointMethodTypes["billing"]["getGithubPackagesBillingOrg"]["parameters"]): Promise<RestEndpointMethodTypes["billing"]["getGithubPackagesBillingOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The Billing API is currently in public beta and subject to change.
+         *
+         * Gets the free and paid storage used for GitHub Packages in gigabytes.
+         *
+         * Paid minutes only apply to packages stored for private repositories. For more information, see "[Managing billing for GitHub Packages](https://docs.github.com/github/setting-up-and-managing-billing-and-payments-on-github/managing-billing-for-github-packages)."
+         *
+         * Access tokens must have the `user` scope.
+         */
+        getGithubPackagesBillingUser: {
+            (params?: RestEndpointMethodTypes["billing"]["getGithubPackagesBillingUser"]["parameters"]): Promise<RestEndpointMethodTypes["billing"]["getGithubPackagesBillingUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The Billing API is currently in public beta and subject to change.
+         *
+         * Gets the estimated paid and estimated total storage used for GitHub Actions and Github Packages.
+         *
+         * Paid minutes only apply to packages stored for private repositories. For more information, see "[Managing billing for GitHub Packages](https://docs.github.com/github/setting-up-and-managing-billing-and-payments-on-github/managing-billing-for-github-packages)."
+         *
+         * Access tokens must have the `read:org` scope.
+         */
+        getSharedStorageBillingOrg: {
+            (params?: RestEndpointMethodTypes["billing"]["getSharedStorageBillingOrg"]["parameters"]): Promise<RestEndpointMethodTypes["billing"]["getSharedStorageBillingOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Warning:** The Billing API is currently in public beta and subject to change.
+         *
+         * Gets the estimated paid and estimated total storage used for GitHub Actions and Github Packages.
+         *
+         * Paid minutes only apply to packages stored for private repositories. For more information, see "[Managing billing for GitHub Packages](https://docs.github.com/github/setting-up-and-managing-billing-and-payments-on-github/managing-billing-for-github-packages)."
+         *
+         * Access tokens must have the `user` scope.
+         */
+        getSharedStorageBillingUser: {
+            (params?: RestEndpointMethodTypes["billing"]["getSharedStorageBillingUser"]["parameters"]): Promise<RestEndpointMethodTypes["billing"]["getSharedStorageBillingUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    checks: {
+        /**
+         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
+         *
+         * Creates a new check run for a specific commit in a repository. Your GitHub App must have the `checks:write` permission to create check runs.
+         */
+        create: {
+            (params?: RestEndpointMethodTypes["checks"]["create"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["create"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
+         *
+         * By default, check suites are automatically created when you create a [check run](https://developer.github.com/v3/checks/runs/). You only need to use this endpoint for manually creating check suites when you've disabled automatic creation using "[Update repository preferences for check suites](https://developer.github.com/v3/checks/suites/#update-repository-preferences-for-check-suites)". Your GitHub App must have the `checks:write` permission to create check suites.
+         */
+        createSuite: {
+            (params?: RestEndpointMethodTypes["checks"]["createSuite"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["createSuite"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
+         *
+         * Gets a single check run using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["checks"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
+         *
+         * Gets a single check suite using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check suites. OAuth Apps and authenticated users must have the `repo` scope to get check suites in a private repository.
+         */
+        getSuite: {
+            (params?: RestEndpointMethodTypes["checks"]["getSuite"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["getSuite"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists annotations for a check run using the annotation `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get annotations for a check run. OAuth Apps and authenticated users must have the `repo` scope to get annotations for a check run in a private repository.
+         */
+        listAnnotations: {
+            (params?: RestEndpointMethodTypes["checks"]["listAnnotations"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["listAnnotations"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
+         *
+         * Lists check runs for a commit ref. The `ref` can be a SHA, branch name, or a tag name. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
+         */
+        listForRef: {
+            (params?: RestEndpointMethodTypes["checks"]["listForRef"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["listForRef"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
+         *
+         * Lists check runs for a check suite using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
+         */
+        listForSuite: {
+            (params?: RestEndpointMethodTypes["checks"]["listForSuite"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["listForSuite"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
+         *
+         * Lists check suites for a commit `ref`. The `ref` can be a SHA, branch name, or a tag name. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to list check suites. OAuth Apps and authenticated users must have the `repo` scope to get check suites in a private repository.
+         */
+        listSuitesForRef: {
+            (params?: RestEndpointMethodTypes["checks"]["listSuitesForRef"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["listSuitesForRef"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Triggers GitHub to rerequest an existing check suite, without pushing new code to a repository. This endpoint will trigger the [`check_suite` webhook](https://developer.github.com/webhooks/event-payloads/#check_suite) event with the action `rerequested`. When a check suite is `rerequested`, its `status` is reset to `queued` and the `conclusion` is cleared.
+         *
+         * To rerequest a check suite, your GitHub App must have the `checks:read` permission on a private repository or pull access to a public repository.
+         */
+        rerequestSuite: {
+            (params?: RestEndpointMethodTypes["checks"]["rerequestSuite"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["rerequestSuite"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Changes the default automatic flow when creating check suites. By default, a check suite is automatically created each time code is pushed to a repository. When you disable the automatic creation of check suites, you can manually [Create a check suite](https://developer.github.com/v3/checks/suites/#create-a-check-suite). You must have admin permissions in the repository to set preferences for check suites.
+         */
+        setSuitesPreferences: {
+            (params?: RestEndpointMethodTypes["checks"]["setSuitesPreferences"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["setSuitesPreferences"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
+         *
+         * Updates a check run for a specific commit in a repository. Your GitHub App must have the `checks:write` permission to edit check runs.
+         */
+        update: {
+            (params?: RestEndpointMethodTypes["checks"]["update"]["parameters"]): Promise<RestEndpointMethodTypes["checks"]["update"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    codeScanning: {
+        /**
+         * Gets a single code scanning alert. You must use an access token with the `security_events` scope to use this endpoint. GitHub Apps must have the `security_events` read permission to use this endpoint.
+         *
+         * The security `alert_id` is found at the end of the security alert's URL. For example, the security alert ID for `https://github.com/Octo-org/octo-repo/security/code-scanning/88` is `88`.
+         */
+        getAlert: {
+            (params?: RestEndpointMethodTypes["codeScanning"]["getAlert"]["parameters"]): Promise<RestEndpointMethodTypes["codeScanning"]["getAlert"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all open code scanning alerts for the default branch (usually `master`) and protected branches in a repository. You must use an access token with the `security_events` scope to use this endpoint. GitHub Apps must have the `security_events` read permission to use this endpoint.
+         */
+        listAlertsForRepo: {
+            (params?: RestEndpointMethodTypes["codeScanning"]["listAlertsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["codeScanning"]["listAlertsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    codesOfConduct: {
+        getAllCodesOfConduct: {
+            (params?: RestEndpointMethodTypes["codesOfConduct"]["getAllCodesOfConduct"]["parameters"]): Promise<RestEndpointMethodTypes["codesOfConduct"]["getAllCodesOfConduct"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getConductCode: {
+            (params?: RestEndpointMethodTypes["codesOfConduct"]["getConductCode"]["parameters"]): Promise<RestEndpointMethodTypes["codesOfConduct"]["getConductCode"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This method returns the contents of the repository's code of conduct file, if one is detected.
+         */
+        getForRepo: {
+            (params?: RestEndpointMethodTypes["codesOfConduct"]["getForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["codesOfConduct"]["getForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    emojis: {
+        /**
+         * Lists all the emojis available to use on GitHub.
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["emojis"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["emojis"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    gists: {
+        checkIsStarred: {
+            (params?: RestEndpointMethodTypes["gists"]["checkIsStarred"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["checkIsStarred"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Allows you to add a new gist with one or more files.
+         *
+         * **Note:** Don't name your files "gistfile" with a numerical suffix. This is the format of the automatic naming scheme that Gist uses internally.
+         */
+        create: {
+            (params?: RestEndpointMethodTypes["gists"]["create"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["create"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        createComment: {
+            (params?: RestEndpointMethodTypes["gists"]["createComment"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["createComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        delete: {
+            (params?: RestEndpointMethodTypes["gists"]["delete"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["delete"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteComment: {
+            (params?: RestEndpointMethodTypes["gists"]["deleteComment"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["deleteComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note**: This was previously `/gists/:gist_id/fork`.
+         */
+        fork: {
+            (params?: RestEndpointMethodTypes["gists"]["fork"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["fork"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        get: {
+            (params?: RestEndpointMethodTypes["gists"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getComment: {
+            (params?: RestEndpointMethodTypes["gists"]["getComment"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["getComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getRevision: {
+            (params?: RestEndpointMethodTypes["gists"]["getRevision"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["getRevision"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the authenticated user's gists or if called anonymously, this endpoint returns all public gists:
+         */
+        list: {
+            (params?: RestEndpointMethodTypes["gists"]["list"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["list"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listComments: {
+            (params?: RestEndpointMethodTypes["gists"]["listComments"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["listComments"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listCommits: {
+            (params?: RestEndpointMethodTypes["gists"]["listCommits"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["listCommits"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists public gists for the specified user:
+         */
+        listForUser: {
+            (params?: RestEndpointMethodTypes["gists"]["listForUser"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["listForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listForks: {
+            (params?: RestEndpointMethodTypes["gists"]["listForks"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["listForks"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List public gists sorted by most recently updated to least recently updated.
+         *
+         * Note: With [pagination](https://developer.github.com/v3/#pagination), you can fetch up to 3000 gists. For example, you can fetch 100 pages with 30 gists per page or 30 pages with 100 gists per page.
+         */
+        listPublic: {
+            (params?: RestEndpointMethodTypes["gists"]["listPublic"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["listPublic"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the authenticated user's starred gists:
+         */
+        listStarred: {
+            (params?: RestEndpointMethodTypes["gists"]["listStarred"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["listStarred"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+         */
+        star: {
+            (params?: RestEndpointMethodTypes["gists"]["star"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["star"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        unstar: {
+            (params?: RestEndpointMethodTypes["gists"]["unstar"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["unstar"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Allows you to update or delete a gist file and rename gist files. Files from the previous version of the gist that aren't explicitly changed during an edit are unchanged.
+         */
+        update: {
+            (params?: RestEndpointMethodTypes["gists"]["update"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["update"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateComment: {
+            (params?: RestEndpointMethodTypes["gists"]["updateComment"]["parameters"]): Promise<RestEndpointMethodTypes["gists"]["updateComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    git: {
+        createBlob: {
+            (params?: RestEndpointMethodTypes["git"]["createBlob"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["createBlob"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a new Git [commit object](https://git-scm.com/book/en/v1/Git-Internals-Git-Objects#Commit-Objects).
+         *
+         * In this example, the payload of the signature would be:
+         *
+         *
+         *
+         * **Signature verification object**
+         *
+         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
+         *
+         * These are the possible values for `reason` in the `verification` object:
+         *
+         * | Value                    | Description                                                                                                                       |
+         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
+         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
+         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
+         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
+         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
+         * | `unsigned`               | The object does not include a signature.                                                                                          |
+         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
+         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
+         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
+         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
+         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
+         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
+         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
+         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
+         */
+        createCommit: {
+            (params?: RestEndpointMethodTypes["git"]["createCommit"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["createCommit"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a reference for your repository. You are unable to create new references for empty repositories, even if the commit SHA-1 hash used exists. Empty repositories are repositories without branches.
+         */
+        createRef: {
+            (params?: RestEndpointMethodTypes["git"]["createRef"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["createRef"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Note that creating a tag object does not create the reference that makes a tag in Git. If you want to create an annotated tag in Git, you have to do this call to create the tag object, and then [create](https://developer.github.com/v3/git/refs/#create-a-reference) the `refs/tags/[tag]` reference. If you want to create a lightweight tag, you only have to [create](https://developer.github.com/v3/git/refs/#create-a-reference) the tag reference - this call would be unnecessary.
+         *
+         * **Signature verification object**
+         *
+         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
+         *
+         * These are the possible values for `reason` in the `verification` object:
+         *
+         * | Value                    | Description                                                                                                                       |
+         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
+         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
+         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
+         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
+         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
+         * | `unsigned`               | The object does not include a signature.                                                                                          |
+         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
+         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
+         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
+         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
+         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
+         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
+         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
+         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
+         */
+        createTag: {
+            (params?: RestEndpointMethodTypes["git"]["createTag"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["createTag"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * The tree creation API accepts nested entries. If you specify both a tree and a nested path modifying that tree, this endpoint will overwrite the contents of the tree with the new path contents, and create a new tree structure.
+         *
+         * If you use this endpoint to add, delete, or modify the file contents in a tree, you will need to commit the tree and then update a branch to point to the commit. For more information see "[Create a commit](https://developer.github.com/v3/git/commits/#create-a-commit)" and "[Update a reference](https://developer.github.com/v3/git/refs/#update-a-reference)."
+         */
+        createTree: {
+            (params?: RestEndpointMethodTypes["git"]["createTree"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["createTree"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteRef: {
+            (params?: RestEndpointMethodTypes["git"]["deleteRef"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["deleteRef"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * The `content` in the response will always be Base64 encoded.
+         *
+         * _Note_: This API supports blobs up to 100 megabytes in size.
+         */
+        getBlob: {
+            (params?: RestEndpointMethodTypes["git"]["getBlob"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["getBlob"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a Git [commit object](https://git-scm.com/book/en/v1/Git-Internals-Git-Objects#Commit-Objects).
+         *
+         * **Signature verification object**
+         *
+         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
+         *
+         * These are the possible values for `reason` in the `verification` object:
+         *
+         * | Value                    | Description                                                                                                                       |
+         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
+         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
+         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
+         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
+         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
+         * | `unsigned`               | The object does not include a signature.                                                                                          |
+         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
+         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
+         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
+         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
+         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
+         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
+         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
+         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
+         */
+        getCommit: {
+            (params?: RestEndpointMethodTypes["git"]["getCommit"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["getCommit"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns a single reference from your Git database. The `:ref` in the URL must be formatted as `heads/<branch name>` for branches and `tags/<tag name>` for tags. If the `:ref` doesn't match an existing ref, a `404` is returned.
+         *
+         * **Note:** You need to explicitly [request a pull request](https://developer.github.com/v3/pulls/#get-a-pull-request) to trigger a test merge commit, which checks the mergeability of pull requests. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
+         */
+        getRef: {
+            (params?: RestEndpointMethodTypes["git"]["getRef"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["getRef"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Signature verification object**
+         *
+         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
+         *
+         * These are the possible values for `reason` in the `verification` object:
+         *
+         * | Value                    | Description                                                                                                                       |
+         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
+         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
+         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
+         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
+         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
+         * | `unsigned`               | The object does not include a signature.                                                                                          |
+         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
+         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
+         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
+         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
+         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
+         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
+         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
+         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
+         */
+        getTag: {
+            (params?: RestEndpointMethodTypes["git"]["getTag"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["getTag"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns a single tree using the SHA1 value for that tree.
+         *
+         * If `truncated` is `true` in the response then the number of items in the `tree` array exceeded our maximum limit. If you need to fetch more items, use the non-recursive method of fetching trees, and fetch one sub-tree at a time.
+         */
+        getTree: {
+            (params?: RestEndpointMethodTypes["git"]["getTree"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["getTree"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns an array of references from your Git database that match the supplied name. The `:ref` in the URL must be formatted as `heads/<branch name>` for branches and `tags/<tag name>` for tags. If the `:ref` doesn't exist in the repository, but existing refs start with `:ref`, they will be returned as an array.
+         *
+         * When you use this endpoint without providing a `:ref`, it will return an array of all the references from your Git database, including notes and stashes if they exist on the server. Anything in the namespace is returned, not just `heads` and `tags`.
+         *
+         * **Note:** You need to explicitly [request a pull request](https://developer.github.com/v3/pulls/#get-a-pull-request) to trigger a test merge commit, which checks the mergeability of pull requests. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
+         *
+         * If you request matching references for a branch named `feature` but the branch `feature` doesn't exist, the response can still include other matching head refs that start with the word `feature`, such as `featureA` and `featureB`.
+         */
+        listMatchingRefs: {
+            (params?: RestEndpointMethodTypes["git"]["listMatchingRefs"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["listMatchingRefs"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateRef: {
+            (params?: RestEndpointMethodTypes["git"]["updateRef"]["parameters"]): Promise<RestEndpointMethodTypes["git"]["updateRef"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    gitignore: {
+        /**
+         * List all templates available to pass as an option when [creating a repository](https://developer.github.com/v3/repos/#create-a-repository-for-the-authenticated-user).
+         */
+        getAllTemplates: {
+            (params?: RestEndpointMethodTypes["gitignore"]["getAllTemplates"]["parameters"]): Promise<RestEndpointMethodTypes["gitignore"]["getAllTemplates"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * The API also allows fetching the source of a single template.
+         *
+         * Use the raw [media type](https://developer.github.com/v3/media/) to get the raw contents.
+         */
+        getTemplate: {
+            (params?: RestEndpointMethodTypes["gitignore"]["getTemplate"]["parameters"]): Promise<RestEndpointMethodTypes["gitignore"]["getTemplate"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    interactions: {
+        /**
+         * Shows which group of GitHub users can interact with this organization and when the restriction expires. If there are no restrictions, you will see an empty response.
+         */
+        getRestrictionsForOrg: {
+            (params?: RestEndpointMethodTypes["interactions"]["getRestrictionsForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["interactions"]["getRestrictionsForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Shows which group of GitHub users can interact with this repository and when the restriction expires. If there are no restrictions, you will see an empty response.
+         */
+        getRestrictionsForRepo: {
+            (params?: RestEndpointMethodTypes["interactions"]["getRestrictionsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["interactions"]["getRestrictionsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes all interaction restrictions from public repositories in the given organization. You must be an organization owner to remove restrictions.
+         */
+        removeRestrictionsForOrg: {
+            (params?: RestEndpointMethodTypes["interactions"]["removeRestrictionsForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["interactions"]["removeRestrictionsForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes all interaction restrictions from the given repository. You must have owner or admin access to remove restrictions.
+         */
+        removeRestrictionsForRepo: {
+            (params?: RestEndpointMethodTypes["interactions"]["removeRestrictionsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["interactions"]["removeRestrictionsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Temporarily restricts interactions to certain GitHub users in any public repository in the given organization. You must be an organization owner to set these restrictions.
+         */
+        setRestrictionsForOrg: {
+            (params?: RestEndpointMethodTypes["interactions"]["setRestrictionsForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["interactions"]["setRestrictionsForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Temporarily restricts interactions to certain GitHub users within the given repository. You must have owner or admin access to set restrictions.
+         */
+        setRestrictionsForRepo: {
+            (params?: RestEndpointMethodTypes["interactions"]["setRestrictionsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["interactions"]["setRestrictionsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    issues: {
+        /**
+         * Adds up to 10 assignees to an issue. Users already assigned to an issue are not replaced.
+         */
+        addAssignees: {
+            (params?: RestEndpointMethodTypes["issues"]["addAssignees"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["addAssignees"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        addLabels: {
+            (params?: RestEndpointMethodTypes["issues"]["addLabels"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["addLabels"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Checks if a user has permission to be assigned to an issue in this repository.
+         *
+         * If the `assignee` can be assigned to issues in the repository, a `204` header with no content is returned.
+         *
+         * Otherwise a `404` status code is returned.
+         */
+        checkUserCanBeAssigned: {
+            (params?: RestEndpointMethodTypes["issues"]["checkUserCanBeAssigned"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["checkUserCanBeAssigned"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Any user with pull access to a repository can create an issue. If [issues are disabled in the repository](https://docs.github.com/articles/disabling-issues/), the API returns a `410 Gone` status.
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        create: {
+            (params?: RestEndpointMethodTypes["issues"]["create"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["create"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        createComment: {
+            (params?: RestEndpointMethodTypes["issues"]["createComment"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["createComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        createLabel: {
+            (params?: RestEndpointMethodTypes["issues"]["createLabel"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["createLabel"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        createMilestone: {
+            (params?: RestEndpointMethodTypes["issues"]["createMilestone"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["createMilestone"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteComment: {
+            (params?: RestEndpointMethodTypes["issues"]["deleteComment"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["deleteComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteLabel: {
+            (params?: RestEndpointMethodTypes["issues"]["deleteLabel"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["deleteLabel"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteMilestone: {
+            (params?: RestEndpointMethodTypes["issues"]["deleteMilestone"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["deleteMilestone"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * The API returns a [`301 Moved Permanently` status](https://developer.github.com/v3/#http-redirects) if the issue was
+         * [transferred](https://docs.github.com/articles/transferring-an-issue-to-another-repository/) to another repository. If
+         * the issue was transferred to or deleted from a repository where the authenticated user lacks read access, the API
+         * returns a `404 Not Found` status. If the issue was deleted from a repository where the authenticated user has read
+         * access, the API returns a `410 Gone` status. To receive webhook events for transferred and deleted issues, subscribe
+         * to the [`issues`](https://developer.github.com/webhooks/event-payloads/#issues) webhook.
+         *
+         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this
+         * reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by
+         * the `pull_request` key. Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull
+         * request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["issues"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getComment: {
+            (params?: RestEndpointMethodTypes["issues"]["getComment"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["getComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getEvent: {
+            (params?: RestEndpointMethodTypes["issues"]["getEvent"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["getEvent"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getLabel: {
+            (params?: RestEndpointMethodTypes["issues"]["getLabel"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["getLabel"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getMilestone: {
+            (params?: RestEndpointMethodTypes["issues"]["getMilestone"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["getMilestone"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List issues assigned to the authenticated user across all visible repositories including owned repositories, member
+         * repositories, and organization repositories. You can use the `filter` query parameter to fetch issues that are not
+         * necessarily assigned to you. See the [Parameters table](https://developer.github.com/v3/issues/#parameters) for more
+         * information.
+         *
+         *
+         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this
+         * reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by
+         * the `pull_request` key. Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull
+         * request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
+         */
+        list: {
+            (params?: RestEndpointMethodTypes["issues"]["list"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["list"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the [available assignees](https://docs.github.com/articles/assigning-issues-and-pull-requests-to-other-github-users/) for issues in a repository.
+         */
+        listAssignees: {
+            (params?: RestEndpointMethodTypes["issues"]["listAssignees"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listAssignees"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Issue Comments are ordered by ascending ID.
+         */
+        listComments: {
+            (params?: RestEndpointMethodTypes["issues"]["listComments"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listComments"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * By default, Issue Comments are ordered by ascending ID.
+         */
+        listCommentsForRepo: {
+            (params?: RestEndpointMethodTypes["issues"]["listCommentsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listCommentsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listEvents: {
+            (params?: RestEndpointMethodTypes["issues"]["listEvents"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listEvents"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listEventsForRepo: {
+            (params?: RestEndpointMethodTypes["issues"]["listEventsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listEventsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listEventsForTimeline: {
+            (params?: RestEndpointMethodTypes["issues"]["listEventsForTimeline"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listEventsForTimeline"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List issues across owned and member repositories assigned to the authenticated user.
+         *
+         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this
+         * reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by
+         * the `pull_request` key. Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull
+         * request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
+         */
+        listForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["issues"]["listForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List issues in an organization assigned to the authenticated user.
+         *
+         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this
+         * reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by
+         * the `pull_request` key. Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull
+         * request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
+         */
+        listForOrg: {
+            (params?: RestEndpointMethodTypes["issues"]["listForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List issues in a repository.
+         *
+         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this
+         * reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by
+         * the `pull_request` key. Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull
+         * request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
+         */
+        listForRepo: {
+            (params?: RestEndpointMethodTypes["issues"]["listForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listLabelsForMilestone: {
+            (params?: RestEndpointMethodTypes["issues"]["listLabelsForMilestone"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listLabelsForMilestone"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listLabelsForRepo: {
+            (params?: RestEndpointMethodTypes["issues"]["listLabelsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listLabelsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listLabelsOnIssue: {
+            (params?: RestEndpointMethodTypes["issues"]["listLabelsOnIssue"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listLabelsOnIssue"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listMilestones: {
+            (params?: RestEndpointMethodTypes["issues"]["listMilestones"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["listMilestones"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with push access can lock an issue or pull request's conversation.
+         *
+         * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+         */
+        lock: {
+            (params?: RestEndpointMethodTypes["issues"]["lock"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["lock"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        removeAllLabels: {
+            (params?: RestEndpointMethodTypes["issues"]["removeAllLabels"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["removeAllLabels"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes one or more assignees from an issue.
+         */
+        removeAssignees: {
+            (params?: RestEndpointMethodTypes["issues"]["removeAssignees"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["removeAssignees"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes the specified label from the issue, and returns the remaining labels on the issue. This endpoint returns a `404 Not Found` status if the label does not exist.
+         */
+        removeLabel: {
+            (params?: RestEndpointMethodTypes["issues"]["removeLabel"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["removeLabel"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes any previous labels and sets the new labels for an issue.
+         */
+        setLabels: {
+            (params?: RestEndpointMethodTypes["issues"]["setLabels"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["setLabels"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with push access can unlock an issue's conversation.
+         */
+        unlock: {
+            (params?: RestEndpointMethodTypes["issues"]["unlock"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["unlock"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Issue owners and users with push access can edit an issue.
+         */
+        update: {
+            (params?: RestEndpointMethodTypes["issues"]["update"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["update"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateComment: {
+            (params?: RestEndpointMethodTypes["issues"]["updateComment"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["updateComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateLabel: {
+            (params?: RestEndpointMethodTypes["issues"]["updateLabel"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["updateLabel"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateMilestone: {
+            (params?: RestEndpointMethodTypes["issues"]["updateMilestone"]["parameters"]): Promise<RestEndpointMethodTypes["issues"]["updateMilestone"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    licenses: {
+        get: {
+            (params?: RestEndpointMethodTypes["licenses"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["licenses"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getAllCommonlyUsed: {
+            (params?: RestEndpointMethodTypes["licenses"]["getAllCommonlyUsed"]["parameters"]): Promise<RestEndpointMethodTypes["licenses"]["getAllCommonlyUsed"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This method returns the contents of the repository's license file, if one is detected.
+         *
+         * Similar to [Get repository content](https://developer.github.com/v3/repos/contents/#get-repository-content), this method also supports [custom media types](https://developer.github.com/v3/repos/contents/#custom-media-types) for retrieving the raw license content or rendered license HTML.
+         */
+        getForRepo: {
+            (params?: RestEndpointMethodTypes["licenses"]["getForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["licenses"]["getForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    markdown: {
+        render: {
+            (params?: RestEndpointMethodTypes["markdown"]["render"]["parameters"]): Promise<RestEndpointMethodTypes["markdown"]["render"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * You must send Markdown as plain text (using a `Content-Type` header of `text/plain` or `text/x-markdown`) to this endpoint, rather than using JSON format. In raw mode, [GitHub Flavored Markdown](https://github.github.com/gfm/) is not supported and Markdown will be rendered in plain format like a README.md file. Markdown content must be 400 KB or less.
+         */
+        renderRaw: {
+            (params?: RestEndpointMethodTypes["markdown"]["renderRaw"]["parameters"]): Promise<RestEndpointMethodTypes["markdown"]["renderRaw"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    meta: {
+        /**
+         * This endpoint provides a list of GitHub's IP addresses. For more information, see "[About GitHub's IP addresses](https://docs.github.com/articles/about-github-s-ip-addresses/)."
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["meta"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["meta"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    migrations: {
+        /**
+         * Stop an import for a repository.
+         */
+        cancelImport: {
+            (params?: RestEndpointMethodTypes["migrations"]["cancelImport"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["cancelImport"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes a previous migration archive. Downloadable migration archives are automatically deleted after seven days. Migration metadata, which is returned in the [List user migrations](https://developer.github.com/v3/migrations/users/#list-user-migrations) and [Get a user migration status](https://developer.github.com/v3/migrations/users/#get-a-user-migration-status) endpoints, will continue to be available even after an archive is deleted.
+         */
+        deleteArchiveForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["migrations"]["deleteArchiveForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["deleteArchiveForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes a previous migration archive. Migration archives are automatically deleted after seven days.
+         */
+        deleteArchiveForOrg: {
+            (params?: RestEndpointMethodTypes["migrations"]["deleteArchiveForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["deleteArchiveForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Fetches the URL to a migration archive.
+         */
+        downloadArchiveForOrg: {
+            (params?: RestEndpointMethodTypes["migrations"]["downloadArchiveForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["downloadArchiveForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Fetches the URL to download the migration archive as a `tar.gz` file. Depending on the resources your repository uses, the migration archive can contain JSON files with data for these objects:
+         *
+         * *   attachments
+         * *   bases
+         * *   commit\_comments
+         * *   issue\_comments
+         * *   issue\_events
+         * *   issues
+         * *   milestones
+         * *   organizations
+         * *   projects
+         * *   protected\_branches
+         * *   pull\_request\_reviews
+         * *   pull\_requests
+         * *   releases
+         * *   repositories
+         * *   review\_comments
+         * *   schema
+         * *   users
+         *
+         * The archive will also contain an `attachments` directory that includes all attachment files uploaded to GitHub.com and a `repositories` directory that contains the repository's Git data.
+         */
+        getArchiveForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["migrations"]["getArchiveForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["getArchiveForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Each type of source control system represents authors in a different way. For example, a Git commit author has a display name and an email address, but a Subversion commit author just has a username. The GitHub Importer will make the author information valid, but the author might not be correct. For example, it will change the bare Subversion username `hubot` into something like `hubot <hubot@12341234-abab-fefe-8787-fedcba987654>`.
+         *
+         * This endpoint and the [Map a commit author](https://developer.github.com/v3/migrations/source_imports/#map-a-commit-author) endpoint allow you to provide correct Git author information.
+         */
+        getCommitAuthors: {
+            (params?: RestEndpointMethodTypes["migrations"]["getCommitAuthors"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["getCommitAuthors"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * View the progress of an import.
+         *
+         * **Import status**
+         *
+         * This section includes details about the possible values of the `status` field of the Import Progress response.
+         *
+         * An import that does not have errors will progress through these steps:
+         *
+         * *   `detecting` - the "detection" step of the import is in progress because the request did not include a `vcs` parameter. The import is identifying the type of source control present at the URL.
+         * *   `importing` - the "raw" step of the import is in progress. This is where commit data is fetched from the original repository. The import progress response will include `commit_count` (the total number of raw commits that will be imported) and `percent` (0 - 100, the current progress through the import).
+         * *   `mapping` - the "rewrite" step of the import is in progress. This is where SVN branches are converted to Git branches, and where author updates are applied. The import progress response does not include progress information.
+         * *   `pushing` - the "push" step of the import is in progress. This is where the importer updates the repository on GitHub. The import progress response will include `push_percent`, which is the percent value reported by `git push` when it is "Writing objects".
+         * *   `complete` - the import is complete, and the repository is ready on GitHub.
+         *
+         * If there are problems, you will see one of these in the `status` field:
+         *
+         * *   `auth_failed` - the import requires authentication in order to connect to the original repository. To update authentication for the import, please see the [Update an import](https://developer.github.com/v3/migrations/source_imports/#update-an-import) section.
+         * *   `error` - the import encountered an error. The import progress response will include the `failed_step` and an error message. Contact [GitHub Support](https://github.com/contact) or [GitHub Premium Support](https://premium.githubsupport.com) for more information.
+         * *   `detection_needs_auth` - the importer requires authentication for the originating repository to continue detection. To update authentication for the import, please see the [Update an import](https://developer.github.com/v3/migrations/source_imports/#update-an-import) section.
+         * *   `detection_found_nothing` - the importer didn't recognize any source control at the URL. To resolve, [Cancel the import](https://developer.github.com/v3/migrations/source_imports/#cancel-an-import) and [retry](https://developer.github.com/v3/migrations/source_imports/#start-an-import) with the correct URL.
+         * *   `detection_found_multiple` - the importer found several projects or repositories at the provided URL. When this is the case, the Import Progress response will also include a `project_choices` field with the possible project choices as values. To update project choice, please see the [Update an import](https://developer.github.com/v3/migrations/source_imports/#update-an-import) section.
+         *
+         * **The project_choices field**
+         *
+         * When multiple projects are found at the provided URL, the response hash will include a `project_choices` field, the value of which is an array of hashes each representing a project choice. The exact key/value pairs of the project hashes will differ depending on the version control type.
+         *
+         * **Git LFS related fields**
+         *
+         * This section includes details about Git LFS related fields that may be present in the Import Progress response.
+         *
+         * *   `use_lfs` - describes whether the import has been opted in or out of using Git LFS. The value can be `opt_in`, `opt_out`, or `undecided` if no action has been taken.
+         * *   `has_large_files` - the boolean value describing whether files larger than 100MB were found during the `importing` step.
+         * *   `large_files_size` - the total size in gigabytes of files larger than 100MB found in the originating repository.
+         * *   `large_files_count` - the total number of files larger than 100MB found in the originating repository. To see a list of these files, make a "Get Large Files" request.
+         */
+        getImportStatus: {
+            (params?: RestEndpointMethodTypes["migrations"]["getImportStatus"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["getImportStatus"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List files larger than 100MB found during the import
+         */
+        getLargeFiles: {
+            (params?: RestEndpointMethodTypes["migrations"]["getLargeFiles"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["getLargeFiles"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Fetches a single user migration. The response includes the `state` of the migration, which can be one of the following values:
+         *
+         * *   `pending` - the migration hasn't started yet.
+         * *   `exporting` - the migration is in progress.
+         * *   `exported` - the migration finished successfully.
+         * *   `failed` - the migration failed.
+         *
+         * Once the migration has been `exported` you can [download the migration archive](https://developer.github.com/v3/migrations/users/#download-a-user-migration-archive).
+         */
+        getStatusForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["migrations"]["getStatusForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["getStatusForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Fetches the status of a migration.
+         *
+         * The `state` of a migration can be one of the following values:
+         *
+         * *   `pending`, which means the migration hasn't started yet.
+         * *   `exporting`, which means the migration is in progress.
+         * *   `exported`, which means the migration finished successfully.
+         * *   `failed`, which means the migration failed.
+         */
+        getStatusForOrg: {
+            (params?: RestEndpointMethodTypes["migrations"]["getStatusForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["getStatusForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all migrations a user has started.
+         */
+        listForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["migrations"]["listForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["listForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the most recent migrations.
+         */
+        listForOrg: {
+            (params?: RestEndpointMethodTypes["migrations"]["listForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["listForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all the repositories for this organization migration.
+         */
+        listReposForOrg: {
+            (params?: RestEndpointMethodTypes["migrations"]["listReposForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["listReposForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all the repositories for this user migration.
+         */
+        listReposForUser: {
+            (params?: RestEndpointMethodTypes["migrations"]["listReposForUser"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["listReposForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Update an author's identity for the import. Your application can continue updating authors any time before you push new commits to the repository.
+         */
+        mapCommitAuthor: {
+            (params?: RestEndpointMethodTypes["migrations"]["mapCommitAuthor"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["mapCommitAuthor"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * You can import repositories from Subversion, Mercurial, and TFS that include files larger than 100MB. This ability is powered by [Git LFS](https://git-lfs.github.com). You can learn more about our LFS feature and working with large files [on our help site](https://docs.github.com/articles/versioning-large-files/).
+         */
+        setLfsPreference: {
+            (params?: RestEndpointMethodTypes["migrations"]["setLfsPreference"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["setLfsPreference"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Initiates the generation of a user migration archive.
+         */
+        startForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["migrations"]["startForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["startForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Initiates the generation of a migration archive.
+         */
+        startForOrg: {
+            (params?: RestEndpointMethodTypes["migrations"]["startForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["startForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Start a source import to a GitHub repository using GitHub Importer.
+         */
+        startImport: {
+            (params?: RestEndpointMethodTypes["migrations"]["startImport"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["startImport"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Unlocks a repository. You can lock repositories when you [start a user migration](https://developer.github.com/v3/migrations/users/#start-a-user-migration). Once the migration is complete you can unlock each repository to begin using it again or [delete the repository](https://developer.github.com/v3/repos/#delete-a-repository) if you no longer need the source data. Returns a status of `404 Not Found` if the repository is not locked.
+         */
+        unlockRepoForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["migrations"]["unlockRepoForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["unlockRepoForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Unlocks a repository that was locked for migration. You should unlock each migrated repository and [delete them](https://developer.github.com/v3/repos/#delete-a-repository) when the migration is complete and you no longer need the source data.
+         */
+        unlockRepoForOrg: {
+            (params?: RestEndpointMethodTypes["migrations"]["unlockRepoForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["unlockRepoForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * An import can be updated with credentials or a project choice by passing in the appropriate parameters in this API
+         * request. If no parameters are provided, the import will be restarted.
+         */
+        updateImport: {
+            (params?: RestEndpointMethodTypes["migrations"]["updateImport"]["parameters"]): Promise<RestEndpointMethodTypes["migrations"]["updateImport"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    orgs: {
+        blockUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["blockUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["blockUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        checkBlockedUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["checkBlockedUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["checkBlockedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Check if a user is, publicly or privately, a member of the organization.
+         */
+        checkMembershipForUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["checkMembershipForUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["checkMembershipForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        checkPublicMembershipForUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["checkPublicMembershipForUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["checkPublicMembershipForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * When an organization member is converted to an outside collaborator, they'll only have access to the repositories that their current team membership allows. The user will no longer be a member of the organization. For more information, see "[Converting an organization member to an outside collaborator](https://docs.github.com/articles/converting-an-organization-member-to-an-outside-collaborator/)".
+         */
+        convertMemberToOutsideCollaborator: {
+            (params?: RestEndpointMethodTypes["orgs"]["convertMemberToOutsideCollaborator"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["convertMemberToOutsideCollaborator"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Invite people to an organization by using their GitHub user ID or their email address. In order to create invitations in an organization, the authenticated user must be an organization owner.
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        createInvitation: {
+            (params?: RestEndpointMethodTypes["orgs"]["createInvitation"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["createInvitation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Here's how you can create a hook that posts payloads in JSON format:
+         */
+        createWebhook: {
+            (params?: RestEndpointMethodTypes["orgs"]["createWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["createWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteWebhook: {
+            (params?: RestEndpointMethodTypes["orgs"]["deleteWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["deleteWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * To see many of the organization response values, you need to be an authenticated organization owner with the `admin:org` scope. When the value of `two_factor_requirement_enabled` is `true`, the organization requires all members, billing managers, and outside collaborators to enable [two-factor authentication](https://docs.github.com/articles/securing-your-account-with-two-factor-authentication-2fa/).
+         *
+         * GitHub Apps with the `Organization plan` permission can use this endpoint to retrieve information about an organization's GitHub plan. See "[Authenticating with GitHub Apps](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/)" for details. For an example response, see "[Response with GitHub plan information](https://developer.github.com/v3/orgs/#response-with-github-plan-information)."
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["orgs"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getMembershipForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["getMembershipForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["getMembershipForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * In order to get a user's membership with an organization, the authenticated user must be an organization member.
+         */
+        getMembershipForUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["getMembershipForUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["getMembershipForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getWebhook: {
+            (params?: RestEndpointMethodTypes["orgs"]["getWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["getWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all organizations, in the order that they were created on GitHub.
+         *
+         * **Note:** Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of organizations.
+         */
+        list: {
+            (params?: RestEndpointMethodTypes["orgs"]["list"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["list"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all GitHub Apps in an organization. The installation count includes all GitHub Apps installed on repositories in the organization. You must be an organization owner with `admin:read` scope to use this endpoint.
+         */
+        listAppInstallations: {
+            (params?: RestEndpointMethodTypes["orgs"]["listAppInstallations"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listAppInstallations"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the users blocked by an organization.
+         */
+        listBlockedUsers: {
+            (params?: RestEndpointMethodTypes["orgs"]["listBlockedUsers"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listBlockedUsers"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List organizations for the authenticated user.
+         *
+         * **OAuth scope requirements**
+         *
+         * This only lists organizations that your authorization allows you to operate on in some way (e.g., you can list teams with `read:org` scope, you can publicize your organization membership with `user` scope, etc.). Therefore, this API requires at least `user` or `read:org` scope. OAuth requests with insufficient scope receive a `403 Forbidden` response.
+         */
+        listForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["listForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List [public organization memberships](https://docs.github.com/articles/publicizing-or-concealing-organization-membership) for the specified user.
+         *
+         * This method only lists _public_ memberships, regardless of authentication. If you need to fetch all of the organization memberships (public and private) for the authenticated user, use the [List organizations for the authenticated user](https://developer.github.com/v3/orgs/#list-organizations-for-the-authenticated-user) API instead.
+         */
+        listForUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["listForUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all teams associated with an invitation. In order to see invitations in an organization, the authenticated user must be an organization owner.
+         */
+        listInvitationTeams: {
+            (params?: RestEndpointMethodTypes["orgs"]["listInvitationTeams"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listInvitationTeams"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all users who are members of an organization. If the authenticated user is also a member of this organization then both concealed and public members will be returned.
+         */
+        listMembers: {
+            (params?: RestEndpointMethodTypes["orgs"]["listMembers"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listMembers"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listMembershipsForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["listMembershipsForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listMembershipsForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all users who are outside collaborators of an organization.
+         */
+        listOutsideCollaborators: {
+            (params?: RestEndpointMethodTypes["orgs"]["listOutsideCollaborators"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listOutsideCollaborators"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
+         */
+        listPendingInvitations: {
+            (params?: RestEndpointMethodTypes["orgs"]["listPendingInvitations"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listPendingInvitations"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Members of an organization can choose to have their membership publicized or not.
+         */
+        listPublicMembers: {
+            (params?: RestEndpointMethodTypes["orgs"]["listPublicMembers"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listPublicMembers"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listWebhooks: {
+            (params?: RestEndpointMethodTypes["orgs"]["listWebhooks"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["listWebhooks"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This will trigger a [ping event](https://developer.github.com/webhooks/#ping-event) to be sent to the hook.
+         */
+        pingWebhook: {
+            (params?: RestEndpointMethodTypes["orgs"]["pingWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["pingWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removing a user from this list will remove them from all teams and they will no longer have any access to the organization's repositories.
+         */
+        removeMember: {
+            (params?: RestEndpointMethodTypes["orgs"]["removeMember"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["removeMember"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * In order to remove a user's membership with an organization, the authenticated user must be an organization owner.
+         *
+         * If the specified user is an active member of the organization, this will remove them from the organization. If the specified user has been invited to the organization, this will cancel their invitation. The specified user will receive an email notification in both cases.
+         */
+        removeMembershipForUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["removeMembershipForUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["removeMembershipForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removing a user from this list will remove them from all the organization's repositories.
+         */
+        removeOutsideCollaborator: {
+            (params?: RestEndpointMethodTypes["orgs"]["removeOutsideCollaborator"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["removeOutsideCollaborator"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        removePublicMembershipForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["removePublicMembershipForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["removePublicMembershipForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Only authenticated organization owners can add a member to the organization or update the member's role.
+         *
+         * *   If the authenticated user is _adding_ a member to the organization, the invited user will receive an email inviting them to the organization. The user's [membership status](https://developer.github.com/v3/orgs/members/#get-organization-membership-for-a-user) will be `pending` until they accept the invitation.
+         *
+         * *   Authenticated users can _update_ a user's membership by passing the `role` parameter. If the authenticated user changes a member's role to `admin`, the affected user will receive an email notifying them that they've been made an organization owner. If the authenticated user changes an owner's role to `member`, no email will be sent.
+         *
+         * **Rate limits**
+         *
+         * To prevent abuse, the authenticated user is limited to 50 organization invitations per 24 hour period. If the organization is more than one month old or on a paid plan, the limit is 500 invitations per 24 hour period.
+         */
+        setMembershipForUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["setMembershipForUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["setMembershipForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * The user can publicize their own membership. (A user cannot publicize the membership for another user.)
+         *
+         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+         */
+        setPublicMembershipForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["setPublicMembershipForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["setPublicMembershipForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        unblockUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["unblockUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["unblockUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Parameter Deprecation Notice:** GitHub will replace and discontinue `members_allowed_repository_creation_type` in favor of more granular permissions. The new input parameters are `members_can_create_public_repositories`, `members_can_create_private_repositories` for all organizations and `members_can_create_internal_repositories` for organizations associated with an enterprise account using GitHub Enterprise Cloud or GitHub Enterprise Server 2.20+. For more information, see the [blog post](https://developer.github.com/changes/2019-12-03-internal-visibility-changes).
+         *
+         * Enables an authenticated organization owner with the `admin:org` scope to update the organization's profile and member privileges.
+         */
+        update: {
+            (params?: RestEndpointMethodTypes["orgs"]["update"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["update"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateMembershipForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["orgs"]["updateMembershipForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["updateMembershipForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateWebhook: {
+            (params?: RestEndpointMethodTypes["orgs"]["updateWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["orgs"]["updateWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    projects: {
+        /**
+         * Adds a collaborator to an organization project and sets their permission level. You must be an organization owner or a project `admin` to add a collaborator.
+         */
+        addCollaborator: {
+            (params?: RestEndpointMethodTypes["projects"]["addCollaborator"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["addCollaborator"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
+         *
+         * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
+         */
+        createCard: {
+            (params?: RestEndpointMethodTypes["projects"]["createCard"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["createCard"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        createColumn: {
+            (params?: RestEndpointMethodTypes["projects"]["createColumn"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["createColumn"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        createForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["projects"]["createForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["createForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates an organization project board. Returns a `404 Not Found` status if projects are disabled in the organization. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
+         */
+        createForOrg: {
+            (params?: RestEndpointMethodTypes["projects"]["createForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["createForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a repository project board. Returns a `404 Not Found` status if projects are disabled in the repository. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
+         */
+        createForRepo: {
+            (params?: RestEndpointMethodTypes["projects"]["createForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["createForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes a project board. Returns a `404 Not Found` status if projects are disabled.
+         */
+        delete: {
+            (params?: RestEndpointMethodTypes["projects"]["delete"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["delete"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteCard: {
+            (params?: RestEndpointMethodTypes["projects"]["deleteCard"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["deleteCard"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteColumn: {
+            (params?: RestEndpointMethodTypes["projects"]["deleteColumn"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["deleteColumn"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a project by its `id`. Returns a `404 Not Found` status if projects are disabled. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["projects"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getCard: {
+            (params?: RestEndpointMethodTypes["projects"]["getCard"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["getCard"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getColumn: {
+            (params?: RestEndpointMethodTypes["projects"]["getColumn"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["getColumn"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns the collaborator's permission level for an organization project. Possible values for the `permission` key: `admin`, `write`, `read`, `none`. You must be an organization owner or a project `admin` to review a user's permission level.
+         */
+        getPermissionForUser: {
+            (params?: RestEndpointMethodTypes["projects"]["getPermissionForUser"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["getPermissionForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listCards: {
+            (params?: RestEndpointMethodTypes["projects"]["listCards"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["listCards"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the collaborators for an organization project. For a project, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners. You must be an organization owner or a project `admin` to list collaborators.
+         */
+        listCollaborators: {
+            (params?: RestEndpointMethodTypes["projects"]["listCollaborators"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["listCollaborators"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listColumns: {
+            (params?: RestEndpointMethodTypes["projects"]["listColumns"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["listColumns"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the projects in an organization. Returns a `404 Not Found` status if projects are disabled in the organization. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
+         */
+        listForOrg: {
+            (params?: RestEndpointMethodTypes["projects"]["listForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["listForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the projects in a repository. Returns a `404 Not Found` status if projects are disabled in the repository. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
+         */
+        listForRepo: {
+            (params?: RestEndpointMethodTypes["projects"]["listForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["listForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listForUser: {
+            (params?: RestEndpointMethodTypes["projects"]["listForUser"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["listForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        moveCard: {
+            (params?: RestEndpointMethodTypes["projects"]["moveCard"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["moveCard"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        moveColumn: {
+            (params?: RestEndpointMethodTypes["projects"]["moveColumn"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["moveColumn"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes a collaborator from an organization project. You must be an organization owner or a project `admin` to remove a collaborator.
+         */
+        removeCollaborator: {
+            (params?: RestEndpointMethodTypes["projects"]["removeCollaborator"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["removeCollaborator"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Updates a project board's information. Returns a `404 Not Found` status if projects are disabled. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
+         */
+        update: {
+            (params?: RestEndpointMethodTypes["projects"]["update"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["update"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateCard: {
+            (params?: RestEndpointMethodTypes["projects"]["updateCard"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["updateCard"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateColumn: {
+            (params?: RestEndpointMethodTypes["projects"]["updateColumn"]["parameters"]): Promise<RestEndpointMethodTypes["projects"]["updateColumn"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    pulls: {
+        checkIfMerged: {
+            (params?: RestEndpointMethodTypes["pulls"]["checkIfMerged"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["checkIfMerged"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Draft pull requests are available in public repositories with GitHub Free and GitHub Free for organizations, GitHub Pro, and legacy per-repository billing plans, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * To open or update a pull request in a public repository, you must have write access to the head or the source branch. For organization-owned repositories, you must be a member of the organization that owns the repository to open or update a pull request.
+         *
+         * You can create a new pull request.
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        create: {
+            (params?: RestEndpointMethodTypes["pulls"]["create"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["create"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a reply to a review comment for a pull request. For the `comment_id`, provide the ID of the review comment you are replying to. This must be the ID of a _top-level review comment_, not a reply to that comment. Replies to replies are not supported.
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        createReplyForReviewComment: {
+            (params?: RestEndpointMethodTypes["pulls"]["createReplyForReviewComment"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["createReplyForReviewComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         *
+         * Pull request reviews created in the `PENDING` state do not include the `submitted_at` property in the response.
+         *
+         * **Note:** To comment on a specific line in a file, you need to first determine the _position_ of that line in the diff. The GitHub REST API v3 offers the `application/vnd.github.v3.diff` [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests). To see a pull request diff, add this media type to the `Accept` header of a call to the [single pull request](https://developer.github.com/v3/pulls/#get-a-pull-request) endpoint.
+         *
+         * The `position` value equals the number of lines down from the first "@@" hunk header in the file you want to add a comment. The line just below the "@@" line is position 1, the next line is position 2, and so on. The position in the diff continues to increase through lines of whitespace and additional hunks until the beginning of a new file.
+         */
+        createReview: {
+            (params?: RestEndpointMethodTypes["pulls"]["createReview"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["createReview"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
+         *
+         * Creates a review comment in the pull request diff. To add a regular comment to a pull request timeline, see "[Create an issue comment](https://developer.github.com/v3/issues/comments/#create-an-issue-comment)." We recommend creating a review comment using `line`, `side`, and optionally `start_line` and `start_side` if your comment applies to more than one line in the pull request diff.
+         *
+         * You can still create a review comment using the `position` parameter. When you use `position`, the `line`, `side`, `start_line`, and `start_side` parameters are not required. For more information, see [Multi-line comment summary](https://developer.github.com/v3/pulls/comments/#multi-line-comment-summary-3).
+         *
+         * **Note:** The position value equals the number of lines down from the first "@@" hunk header in the file you want to add a comment. The line just below the "@@" line is position 1, the next line is position 2, and so on. The position in the diff continues to increase through lines of whitespace and additional hunks until the beginning of a new file.
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         *
+         * **Multi-line comment summary**
+         *
+         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
+         *
+         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
+         *
+         * If you use the `comfort-fade` preview header, your response will show:
+         *
+         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
+         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
+         *
+         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
+         *
+         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
+         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
+         */
+        createReviewComment: {
+            (params?: RestEndpointMethodTypes["pulls"]["createReviewComment"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["createReviewComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deletePendingReview: {
+            (params?: RestEndpointMethodTypes["pulls"]["deletePendingReview"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["deletePendingReview"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes a review comment.
+         */
+        deleteReviewComment: {
+            (params?: RestEndpointMethodTypes["pulls"]["deleteReviewComment"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["deleteReviewComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** To dismiss a pull request review on a [protected branch](https://developer.github.com/v3/repos/branches/), you must be a repository administrator or be included in the list of people or teams who can dismiss pull request reviews.
+         */
+        dismissReview: {
+            (params?: RestEndpointMethodTypes["pulls"]["dismissReview"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["dismissReview"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Draft pull requests are available in public repositories with GitHub Free and GitHub Free for organizations, GitHub Pro, and legacy per-repository billing plans, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Lists details of a pull request by providing its number.
+         *
+         * When you get, [create](https://developer.github.com/v3/pulls/#create-a-pull-request), or [edit](https://developer.github.com/v3/pulls/#update-a-pull-request) a pull request, GitHub creates a merge commit to test whether the pull request can be automatically merged into the base branch. This test commit is not added to the base branch or the head branch. You can review the status of the test commit using the `mergeable` key. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
+         *
+         * The value of the `mergeable` attribute can be `true`, `false`, or `null`. If the value is `null`, then GitHub has started a background job to compute the mergeability. After giving the job time to complete, resubmit the request. When the job finishes, you will see a non-`null` value for the `mergeable` attribute in the response. If `mergeable` is `true`, then `merge_commit_sha` will be the SHA of the _test_ merge commit.
+         *
+         * The value of the `merge_commit_sha` attribute changes depending on the state of the pull request. Before merging a pull request, the `merge_commit_sha` attribute holds the SHA of the _test_ merge commit. After merging a pull request, the `merge_commit_sha` attribute changes depending on how you merged the pull request:
+         *
+         * *   If merged as a [merge commit](https://docs.github.com/articles/about-merge-methods-on-github/), `merge_commit_sha` represents the SHA of the merge commit.
+         * *   If merged via a [squash](https://docs.github.com/articles/about-merge-methods-on-github/#squashing-your-merge-commits), `merge_commit_sha` represents the SHA of the squashed commit on the base branch.
+         * *   If [rebased](https://docs.github.com/articles/about-merge-methods-on-github/#rebasing-and-merging-your-commits), `merge_commit_sha` represents the commit that the base branch was updated to.
+         *
+         * Pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch diff and patch formats.
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["pulls"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getReview: {
+            (params?: RestEndpointMethodTypes["pulls"]["getReview"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["getReview"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
+         *
+         * Provides details for a review comment.
+         *
+         * **Multi-line comment summary**
+         *
+         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
+         *
+         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
+         *
+         * If you use the `comfort-fade` preview header, your response will show:
+         *
+         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
+         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
+         *
+         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
+         *
+         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
+         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
+         *
+         * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
+         */
+        getReviewComment: {
+            (params?: RestEndpointMethodTypes["pulls"]["getReviewComment"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["getReviewComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Draft pull requests are available in public repositories with GitHub Free and GitHub Free for organizations, GitHub Pro, and legacy per-repository billing plans, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        list: {
+            (params?: RestEndpointMethodTypes["pulls"]["list"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["list"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List comments for a specific pull request review.
+         */
+        listCommentsForReview: {
+            (params?: RestEndpointMethodTypes["pulls"]["listCommentsForReview"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["listCommentsForReview"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists a maximum of 250 commits for a pull request. To receive a complete commit list for pull requests with more than 250 commits, use the [List commits](https://developer.github.com/v3/repos/commits/#list-commits) endpoint.
+         */
+        listCommits: {
+            (params?: RestEndpointMethodTypes["pulls"]["listCommits"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["listCommits"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** Responses include a maximum of 3000 files. The paginated response returns 30 files per page by default.
+         */
+        listFiles: {
+            (params?: RestEndpointMethodTypes["pulls"]["listFiles"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["listFiles"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listRequestedReviewers: {
+            (params?: RestEndpointMethodTypes["pulls"]["listRequestedReviewers"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["listRequestedReviewers"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
+         *
+         * Lists all review comments for a pull request. By default, review comments are in ascending order by ID.
+         *
+         * **Multi-line comment summary**
+         *
+         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
+         *
+         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
+         *
+         * If you use the `comfort-fade` preview header, your response will show:
+         *
+         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
+         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
+         *
+         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
+         *
+         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
+         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
+         *
+         * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
+         */
+        listReviewComments: {
+            (params?: RestEndpointMethodTypes["pulls"]["listReviewComments"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["listReviewComments"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
+         *
+         * Lists review comments for all pull requests in a repository. By default, review comments are in ascending order by ID.
+         *
+         * **Multi-line comment summary**
+         *
+         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
+         *
+         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
+         *
+         * If you use the `comfort-fade` preview header, your response will show:
+         *
+         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
+         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
+         *
+         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
+         *
+         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
+         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
+         *
+         * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
+         */
+        listReviewCommentsForRepo: {
+            (params?: RestEndpointMethodTypes["pulls"]["listReviewCommentsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["listReviewCommentsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * The list of reviews returns in chronological order.
+         */
+        listReviews: {
+            (params?: RestEndpointMethodTypes["pulls"]["listReviews"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["listReviews"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        merge: {
+            (params?: RestEndpointMethodTypes["pulls"]["merge"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["merge"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        removeRequestedReviewers: {
+            (params?: RestEndpointMethodTypes["pulls"]["removeRequestedReviewers"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["removeRequestedReviewers"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        requestReviewers: {
+            (params?: RestEndpointMethodTypes["pulls"]["requestReviewers"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["requestReviewers"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        submitReview: {
+            (params?: RestEndpointMethodTypes["pulls"]["submitReview"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["submitReview"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Draft pull requests are available in public repositories with GitHub Free and GitHub Free for organizations, GitHub Pro, and legacy per-repository billing plans, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * To open or update a pull request in a public repository, you must have write access to the head or the source branch. For organization-owned repositories, you must be a member of the organization that owns the repository to open or update a pull request.
+         */
+        update: {
+            (params?: RestEndpointMethodTypes["pulls"]["update"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["update"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Updates the pull request branch with the latest upstream changes by merging HEAD from the base branch into the pull request branch.
+         */
+        updateBranch: {
+            (params?: RestEndpointMethodTypes["pulls"]["updateBranch"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["updateBranch"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Update the review summary comment with new text.
+         */
+        updateReview: {
+            (params?: RestEndpointMethodTypes["pulls"]["updateReview"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["updateReview"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
+         *
+         * Enables you to edit a review comment.
+         *
+         * **Multi-line comment summary**
+         *
+         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
+         *
+         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
+         *
+         * If you use the `comfort-fade` preview header, your response will show:
+         *
+         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
+         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
+         *
+         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
+         *
+         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
+         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
+         */
+        updateReviewComment: {
+            (params?: RestEndpointMethodTypes["pulls"]["updateReviewComment"]["parameters"]): Promise<RestEndpointMethodTypes["pulls"]["updateReviewComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    rateLimit: {
+        /**
+         * **Note:** Accessing this endpoint does not count against your REST API rate limit.
+         *
+         * **Note:** The `rate` object is deprecated. If you're writing new API client code or updating existing code, you should use the `core` object instead of the `rate` object. The `core` object contains the same information that is present in the `rate` object.
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["rateLimit"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["rateLimit"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    reactions: {
+        /**
+         * Create a reaction to a [commit comment](https://developer.github.com/v3/repos/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this commit comment.
+         */
+        createForCommitComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["createForCommitComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["createForCommitComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Create a reaction to an [issue](https://developer.github.com/v3/issues/). A response with a `Status: 200 OK` means that you already added the reaction type to this issue.
+         */
+        createForIssue: {
+            (params?: RestEndpointMethodTypes["reactions"]["createForIssue"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["createForIssue"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Create a reaction to an [issue comment](https://developer.github.com/v3/issues/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this issue comment.
+         */
+        createForIssueComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["createForIssueComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["createForIssueComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Create a reaction to a [pull request review comment](https://developer.github.com/v3/pulls/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this pull request review comment.
+         */
+        createForPullRequestReviewComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["createForPullRequestReviewComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["createForPullRequestReviewComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Create a reaction to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion comment.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number/reactions`.
+         */
+        createForTeamDiscussionCommentInOrg: {
+            (params?: RestEndpointMethodTypes["reactions"]["createForTeamDiscussionCommentInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["createForTeamDiscussionCommentInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Create a reaction to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions/:discussion_number/reactions`.
+         */
+        createForTeamDiscussionInOrg: {
+            (params?: RestEndpointMethodTypes["reactions"]["createForTeamDiscussionInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["createForTeamDiscussionInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** You can also specify a repository by `repository_id` using the route `DELETE /repositories/:repository_id/comments/:comment_id/reactions/:reaction_id`.
+         *
+         * Delete a reaction to a [commit comment](https://developer.github.com/v3/repos/comments/).
+         */
+        deleteForCommitComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["deleteForCommitComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["deleteForCommitComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** You can also specify a repository by `repository_id` using the route `DELETE /repositories/:repository_id/issues/:issue_number/reactions/:reaction_id`.
+         *
+         * Delete a reaction to an [issue](https://developer.github.com/v3/issues/).
+         */
+        deleteForIssue: {
+            (params?: RestEndpointMethodTypes["reactions"]["deleteForIssue"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["deleteForIssue"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** You can also specify a repository by `repository_id` using the route `DELETE delete /repositories/:repository_id/issues/comments/:comment_id/reactions/:reaction_id`.
+         *
+         * Delete a reaction to an [issue comment](https://developer.github.com/v3/issues/comments/).
+         */
+        deleteForIssueComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["deleteForIssueComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["deleteForIssueComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** You can also specify a repository by `repository_id` using the route `DELETE /repositories/:repository_id/pulls/comments/:comment_id/reactions/:reaction_id.`
+         *
+         * Delete a reaction to a [pull request review comment](https://developer.github.com/v3/pulls/comments/).
+         */
+        deleteForPullRequestComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["deleteForPullRequestComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["deleteForPullRequestComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** You can also specify a team or organization with `team_id` and `org_id` using the route `DELETE /organizations/:org_id/team/:team_id/discussions/:discussion_number/reactions/:reaction_id`.
+         *
+         * Delete a reaction to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        deleteForTeamDiscussion: {
+            (params?: RestEndpointMethodTypes["reactions"]["deleteForTeamDiscussion"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["deleteForTeamDiscussion"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** You can also specify a team or organization with `team_id` and `org_id` using the route `DELETE /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number/reactions/:reaction_id`.
+         *
+         * Delete a reaction to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        deleteForTeamDiscussionComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["deleteForTeamDiscussionComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["deleteForTeamDiscussionComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Reactions API. We recommend migrating your existing code to use the new delete reactions endpoints. For more information, see this [blog post](https://developer.github.com/changes/2020-02-26-new-delete-reactions-endpoints/).
+         *
+         * OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), when deleting a [team discussion](https://developer.github.com/v3/teams/discussions/) or [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/).
+         * @deprecated octokit.reactions.deleteLegacy() is deprecated, see https://developer.github.com/v3/reactions/#delete-a-reaction-legacy
+         */
+        deleteLegacy: {
+            (params?: RestEndpointMethodTypes["reactions"]["deleteLegacy"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["deleteLegacy"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the reactions to a [commit comment](https://developer.github.com/v3/repos/comments/).
+         */
+        listForCommitComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["listForCommitComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["listForCommitComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the reactions to an [issue](https://developer.github.com/v3/issues/).
+         */
+        listForIssue: {
+            (params?: RestEndpointMethodTypes["reactions"]["listForIssue"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["listForIssue"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the reactions to an [issue comment](https://developer.github.com/v3/issues/comments/).
+         */
+        listForIssueComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["listForIssueComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["listForIssueComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the reactions to a [pull request review comment](https://developer.github.com/v3/pulls/comments/).
+         */
+        listForPullRequestReviewComment: {
+            (params?: RestEndpointMethodTypes["reactions"]["listForPullRequestReviewComment"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["listForPullRequestReviewComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the reactions to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number/reactions`.
+         */
+        listForTeamDiscussionCommentInOrg: {
+            (params?: RestEndpointMethodTypes["reactions"]["listForTeamDiscussionCommentInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["listForTeamDiscussionCommentInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the reactions to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/reactions`.
+         */
+        listForTeamDiscussionInOrg: {
+            (params?: RestEndpointMethodTypes["reactions"]["listForTeamDiscussionInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["reactions"]["listForTeamDiscussionInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    repos: {
+        acceptInvitation: {
+            (params?: RestEndpointMethodTypes["repos"]["acceptInvitation"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["acceptInvitation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Grants the specified apps push access for this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
+         *
+         * | Type    | Description                                                                                                                                                |
+         * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
+         * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        addAppAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["addAppAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["addAppAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         *
+         * For more information the permission levels, see "[Repository permission levels for an organization](https://docs.github.com/en/github/setting-up-and-managing-organizations-and-teams/repository-permission-levels-for-an-organization#permission-levels-for-repositories-owned-by-an-organization)".
+         *
+         * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+         *
+         * The invitee will receive a notification that they have been invited to the repository, which they must accept or decline. They may do this via the notifications page, the email they receive, or by using the [repository invitations API endpoints](https://developer.github.com/v3/repos/invitations/).
+         *
+         * **Rate limits**
+         *
+         * To prevent abuse, you are limited to sending 50 invitations to a repository per 24 hour period. Note there is no limit if you are inviting organization members to an organization repository.
+         */
+        addCollaborator: {
+            (params?: RestEndpointMethodTypes["repos"]["addCollaborator"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["addCollaborator"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        addStatusCheckContexts: {
+            (params?: RestEndpointMethodTypes["repos"]["addStatusCheckContexts"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["addStatusCheckContexts"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Grants the specified teams push access for this branch. You can also give push access to child teams.
+         *
+         * | Type    | Description                                                                                                                                |
+         * | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
+         * | `array` | The teams that can have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        addTeamAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["addTeamAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["addTeamAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Grants the specified people push access for this branch.
+         *
+         * | Type    | Description                                                                                                                   |
+         * | ------- | ----------------------------------------------------------------------------------------------------------------------------- |
+         * | `array` | Usernames for people who can have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        addUserAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["addUserAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["addUserAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * For organization-owned repositories, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners.
+         *
+         * Team members will include the members of child teams.
+         */
+        checkCollaborator: {
+            (params?: RestEndpointMethodTypes["repos"]["checkCollaborator"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["checkCollaborator"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Shows whether dependency alerts are enabled or disabled for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://docs.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)".
+         */
+        checkVulnerabilityAlerts: {
+            (params?: RestEndpointMethodTypes["repos"]["checkVulnerabilityAlerts"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["checkVulnerabilityAlerts"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Both `:base` and `:head` must be branch names in `:repo`. To compare branches across other repositories in the same network as `:repo`, use the format `<USERNAME>:branch`.
+         *
+         * The response from the API is equivalent to running the `git log base..head` command; however, commits are returned in chronological order. Pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch diff and patch formats.
+         *
+         * The response also includes details on the files that were changed between the two commits. This includes the status of the change (for example, if a file was added, removed, modified, or renamed), and details of the change itself. For example, files with a `renamed` status have a `previous_filename` field showing the previous filename of the file, and files with a `modified` status have a `patch` field showing the changes made to the file.
+         *
+         * **Working with large comparisons**
+         *
+         * The response will include a comparison of up to 250 commits. If you are working with a larger commit range, you can use the [List commits](https://developer.github.com/v3/repos/commits/#list-commits) to enumerate all commits in the range.
+         *
+         * For comparisons with extremely large diffs, you may receive an error response indicating that the diff took too long to generate. You can typically resolve this error by using a smaller commit range.
+         *
+         * **Signature verification object**
+         *
+         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
+         *
+         * These are the possible values for `reason` in the `verification` object:
+         *
+         * | Value                    | Description                                                                                                                       |
+         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
+         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
+         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
+         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
+         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
+         * | `unsigned`               | The object does not include a signature.                                                                                          |
+         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
+         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
+         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
+         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
+         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
+         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
+         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
+         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
+         */
+        compareCommits: {
+            (params?: RestEndpointMethodTypes["repos"]["compareCommits"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["compareCommits"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Create a comment for a commit using its `:commit_sha`.
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        createCommitComment: {
+            (params?: RestEndpointMethodTypes["repos"]["createCommitComment"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createCommitComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * When authenticated with admin or owner permissions to the repository, you can use this endpoint to require signed commits on a branch. You must enable branch protection to require signed commits.
+         */
+        createCommitSignatureProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["createCommitSignatureProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createCommitSignatureProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with push access in a repository can create commit statuses for a given SHA.
+         *
+         * Note: there is a limit of 1000 statuses per `sha` and `context` within a repository. Attempts to create more than 1000 statuses will result in a validation error.
+         */
+        createCommitStatus: {
+            (params?: RestEndpointMethodTypes["repos"]["createCommitStatus"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createCommitStatus"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * You can create a read-only deploy key.
+         */
+        createDeployKey: {
+            (params?: RestEndpointMethodTypes["repos"]["createDeployKey"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createDeployKey"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deployments offer a few configurable parameters with certain defaults.
+         *
+         * The `ref` parameter can be any named branch, tag, or SHA. At GitHub we often deploy branches and verify them
+         * before we merge a pull request.
+         *
+         * The `environment` parameter allows deployments to be issued to different runtime environments. Teams often have
+         * multiple environments for verifying their applications, such as `production`, `staging`, and `qa`. This parameter
+         * makes it easier to track which environments have requested deployments. The default environment is `production`.
+         *
+         * The `auto_merge` parameter is used to ensure that the requested ref is not behind the repository's default branch. If
+         * the ref _is_ behind the default branch for the repository, we will attempt to merge it for you. If the merge succeeds,
+         * the API will return a successful merge commit. If merge conflicts prevent the merge from succeeding, the API will
+         * return a failure response.
+         *
+         * By default, [commit statuses](https://developer.github.com/v3/repos/statuses) for every submitted context must be in a `success`
+         * state. The `required_contexts` parameter allows you to specify a subset of contexts that must be `success`, or to
+         * specify contexts that have not yet been submitted. You are not required to use commit statuses to deploy. If you do
+         * not require any contexts or create any commit statuses, the deployment will always succeed.
+         *
+         * The `payload` parameter is available for any extra information that a deployment system might need. It is a JSON text
+         * field that will be passed on when a deployment event is dispatched.
+         *
+         * The `task` parameter is used by the deployment system to allow different execution paths. In the web world this might
+         * be `deploy:migrations` to run schema changes on the system. In the compiled world this could be a flag to compile an
+         * application with debugging enabled.
+         *
+         * Users with `repo` or `repo_deployment` scopes can create a deployment for a given ref.
+         *
+         * #### Merged branch response
+         * You will see this response when GitHub automatically merges the base branch into the topic branch instead of creating
+         * a deployment. This auto-merge happens when:
+         * *   Auto-merge option is enabled in the repository
+         * *   Topic branch does not include the latest changes on the base branch, which is `master` in the response example
+         * *   There are no merge conflicts
+         *
+         * If there are no new commits in the base branch, a new request to create a deployment should give a successful
+         * response.
+         *
+         * #### Merge conflict response
+         * This error happens when the `auto_merge` option is enabled and when the default branch (in this case `master`), can't
+         * be merged into the branch that's being deployed (in this case `topic-branch`), due to merge conflicts.
+         *
+         * #### Failed commit status checks
+         * This error happens when the `required_contexts` parameter indicates that one or more contexts need to have a `success`
+         * status for the commit to be deployed, but one or more of the required contexts do not have a state of `success`.
+         */
+        createDeployment: {
+            (params?: RestEndpointMethodTypes["repos"]["createDeployment"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createDeployment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with `push` access can create deployment statuses for a given deployment.
+         *
+         * GitHub Apps require `read & write` access to "Deployments" and `read-only` access to "Repo contents" (for private repos). OAuth Apps require the `repo_deployment` scope.
+         */
+        createDeploymentStatus: {
+            (params?: RestEndpointMethodTypes["repos"]["createDeploymentStatus"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createDeploymentStatus"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * You can use this endpoint to trigger a webhook event called `repository_dispatch` when you want activity that happens outside of GitHub to trigger a GitHub Actions workflow or GitHub App webhook. You must configure your GitHub Actions workflow or GitHub App to run when the `repository_dispatch` event occurs. For an example `repository_dispatch` webhook payload, see "[RepositoryDispatchEvent](https://developer.github.com/webhooks/event-payloads/#repository_dispatch)."
+         *
+         * The `client_payload` parameter is available for any extra information that your workflow might need. This parameter is a JSON payload that will be passed on when the webhook event is dispatched. For example, the `client_payload` can include a message that a user would like to send using a GitHub Actions workflow. Or the `client_payload` can be used as a test to debug your workflow. For a test example, see the [input example](https://developer.github.com/v3/repos/#example-4).
+         *
+         * To give you write access to the repository, you must use a personal access token with the `repo` scope. For more information, see "[Creating a personal access token for the command line](https://docs.github.com/articles/creating-a-personal-access-token-for-the-command-line)" in the GitHub Help documentation.
+         *
+         * This input example shows how you can use the `client_payload` as a test to debug your workflow.
+         */
+        createDispatchEvent: {
+            (params?: RestEndpointMethodTypes["repos"]["createDispatchEvent"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createDispatchEvent"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a new repository for the authenticated user.
+         *
+         * **OAuth scope requirements**
+         *
+         * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
+         *
+         * *   `public_repo` scope or `repo` scope to create a public repository
+         * *   `repo` scope to create a private repository
+         */
+        createForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["repos"]["createForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Create a fork for the authenticated user.
+         *
+         * **Note**: Forking a Repository happens asynchronously. You may have to wait a short period of time before you can access the git objects. If this takes longer than 5 minutes, be sure to contact [GitHub Support](https://github.com/contact) or [GitHub Premium Support](https://premium.githubsupport.com).
+         */
+        createFork: {
+            (params?: RestEndpointMethodTypes["repos"]["createFork"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createFork"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a new repository in the specified organization. The authenticated user must be a member of the organization.
+         *
+         * **OAuth scope requirements**
+         *
+         * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
+         *
+         * *   `public_repo` scope or `repo` scope to create a public repository
+         * *   `repo` scope to create a private repository
+         */
+        createInOrg: {
+            (params?: RestEndpointMethodTypes["repos"]["createInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a new file or replaces an existing file in a repository.
+         */
+        createOrUpdateFileContents: {
+            (params?: RestEndpointMethodTypes["repos"]["createOrUpdateFileContents"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createOrUpdateFileContents"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        createPagesSite: {
+            (params?: RestEndpointMethodTypes["repos"]["createPagesSite"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createPagesSite"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with push access to the repository can create a release.
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         */
+        createRelease: {
+            (params?: RestEndpointMethodTypes["repos"]["createRelease"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createRelease"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a new repository using a repository template. Use the `template_owner` and `template_repo` route parameters to specify the repository to use as the template. The authenticated user must own or be a member of an organization that owns the repository. To check if a repository is available to use as a template, get the repository's information using the [Get a repository](https://developer.github.com/v3/repos/#get-a-repository) endpoint and check that the `is_template` key is `true`.
+         *
+         * **OAuth scope requirements**
+         *
+         * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
+         *
+         * *   `public_repo` scope or `repo` scope to create a public repository
+         * *   `repo` scope to create a private repository
+         */
+        createUsingTemplate: {
+            (params?: RestEndpointMethodTypes["repos"]["createUsingTemplate"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createUsingTemplate"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Repositories can have multiple webhooks installed. Each webhook should have a unique `config`. Multiple webhooks can
+         * share the same `config` as long as those webhooks do not have any `events` that overlap.
+         */
+        createWebhook: {
+            (params?: RestEndpointMethodTypes["repos"]["createWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["createWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        declineInvitation: {
+            (params?: RestEndpointMethodTypes["repos"]["declineInvitation"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["declineInvitation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deleting a repository requires admin access. If OAuth is used, the `delete_repo` scope is required.
+         *
+         * If an organization owner has configured the organization to prevent members from deleting organization-owned
+         * repositories, you will get a `403 Forbidden` response.
+         */
+        delete: {
+            (params?: RestEndpointMethodTypes["repos"]["delete"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["delete"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Disables the ability to restrict who can push to this branch.
+         */
+        deleteAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Removing admin enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
+         */
+        deleteAdminBranchProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteAdminBranchProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteAdminBranchProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        deleteBranchProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteBranchProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteBranchProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteCommitComment: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteCommitComment"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteCommitComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * When authenticated with admin or owner permissions to the repository, you can use this endpoint to disable required signed commits on a branch. You must enable branch protection to require signed commits.
+         */
+        deleteCommitSignatureProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteCommitSignatureProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteCommitSignatureProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deploy keys are immutable. If you need to update a key, remove the key and create a new one instead.
+         */
+        deleteDeployKey: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteDeployKey"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteDeployKey"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * To ensure there can always be an active deployment, you can only delete an _inactive_ deployment. Anyone with `repo` or `repo_deployment` scopes can delete an inactive deployment.
+         *
+         * To set a deployment as inactive, you must:
+         *
+         * *   Create a new deployment that is active so that the system has a record of the current state, then delete the previously active deployment.
+         * *   Mark the active deployment as inactive by adding any non-successful deployment status.
+         *
+         * For more information, see "[Create a deployment](https://developer.github.com/v3/repos/deployments/#create-a-deployment)" and "[Create a deployment status](https://developer.github.com/v3/repos/deployments/#create-a-deployment-status)."
+         */
+        deleteDeployment: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteDeployment"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteDeployment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes a file in a repository.
+         *
+         * You can provide an additional `committer` parameter, which is an object containing information about the committer. Or, you can provide an `author` parameter, which is an object containing information about the author.
+         *
+         * The `author` section is optional and is filled in with the `committer` information if omitted. If the `committer` information is omitted, the authenticated user's information is used.
+         *
+         * You must provide values for both `name` and `email`, whether you choose to use `author` or `committer`. Otherwise, you'll receive a `422` status code.
+         */
+        deleteFile: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteFile"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteFile"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteInvitation: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteInvitation"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteInvitation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deletePagesSite: {
+            (params?: RestEndpointMethodTypes["repos"]["deletePagesSite"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deletePagesSite"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        deletePullRequestReviewProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["deletePullRequestReviewProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deletePullRequestReviewProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with push access to the repository can delete a release.
+         */
+        deleteRelease: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteRelease"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteRelease"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteReleaseAsset: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteReleaseAsset"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteReleaseAsset"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        deleteWebhook: {
+            (params?: RestEndpointMethodTypes["repos"]["deleteWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["deleteWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Disables automated security fixes for a repository. The authenticated user must have admin access to the repository. For more information, see "[Configuring automated security fixes](https://docs.github.com/en/articles/configuring-automated-security-fixes)".
+         */
+        disableAutomatedSecurityFixes: {
+            (params?: RestEndpointMethodTypes["repos"]["disableAutomatedSecurityFixes"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["disableAutomatedSecurityFixes"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Disables dependency alerts and the dependency graph for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://docs.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)".
+         */
+        disableVulnerabilityAlerts: {
+            (params?: RestEndpointMethodTypes["repos"]["disableVulnerabilityAlerts"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["disableVulnerabilityAlerts"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a redirect URL to download an archive for a repository. The `:archive_format` can be either `tarball` or
+         * `zipball`. The `:ref` must be a valid Git reference. If you omit `:ref`, the repository’s default branch (usually
+         * `master`) will be used. Please make sure your HTTP framework is configured to follow redirects or you will need to use
+         * the `Location` header to make a second `GET` request.
+         *
+         * **Note**: For private repositories, these links are temporary and expire after five minutes.
+         */
+        downloadArchive: {
+            (params?: RestEndpointMethodTypes["repos"]["downloadArchive"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["downloadArchive"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Enables automated security fixes for a repository. The authenticated user must have admin access to the repository. For more information, see "[Configuring automated security fixes](https://docs.github.com/en/articles/configuring-automated-security-fixes)".
+         */
+        enableAutomatedSecurityFixes: {
+            (params?: RestEndpointMethodTypes["repos"]["enableAutomatedSecurityFixes"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["enableAutomatedSecurityFixes"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Enables dependency alerts and the dependency graph for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://docs.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)".
+         */
+        enableVulnerabilityAlerts: {
+            (params?: RestEndpointMethodTypes["repos"]["enableVulnerabilityAlerts"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["enableVulnerabilityAlerts"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * When you pass the `scarlet-witch-preview` media type, requests to get a repository will also return the repository's code of conduct if it can be detected from the repository's code of conduct file.
+         *
+         * The `parent` and `source` objects are present when the repository is a fork. `parent` is the repository this repository was forked from, `source` is the ultimate source for the network.
+         */
+        get: {
+            (params?: RestEndpointMethodTypes["repos"]["get"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["get"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Lists who has access to this protected branch.
+         *
+         * **Note**: Users, apps, and teams `restrictions` are only available for organization-owned repositories.
+         */
+        getAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["getAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        getAdminBranchProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["getAdminBranchProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getAdminBranchProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        getAllStatusCheckContexts: {
+            (params?: RestEndpointMethodTypes["repos"]["getAllStatusCheckContexts"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getAllStatusCheckContexts"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getAllTopics: {
+            (params?: RestEndpointMethodTypes["repos"]["getAllTopics"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getAllTopics"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Lists the GitHub Apps that have push access to this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
+         */
+        getAppsWithAccessToProtectedBranch: {
+            (params?: RestEndpointMethodTypes["repos"]["getAppsWithAccessToProtectedBranch"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getAppsWithAccessToProtectedBranch"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getBranch: {
+            (params?: RestEndpointMethodTypes["repos"]["getBranch"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getBranch"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        getBranchProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["getBranchProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getBranchProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Get the total number of clones and breakdown per day or week for the last 14 days. Timestamps are aligned to UTC midnight of the beginning of the day or week. Week begins on Monday.
+         */
+        getClones: {
+            (params?: RestEndpointMethodTypes["repos"]["getClones"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getClones"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns a weekly aggregate of the number of additions and deletions pushed to a repository.
+         */
+        getCodeFrequencyStats: {
+            (params?: RestEndpointMethodTypes["repos"]["getCodeFrequencyStats"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getCodeFrequencyStats"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Checks the repository permission of a collaborator. The possible repository permissions are `admin`, `write`, `read`, and `none`.
+         */
+        getCollaboratorPermissionLevel: {
+            (params?: RestEndpointMethodTypes["repos"]["getCollaboratorPermissionLevel"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getCollaboratorPermissionLevel"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with pull access in a repository can access a combined view of commit statuses for a given ref. The ref can be a SHA, a branch name, or a tag name.
+         *
+         * The most recent status for each context is returned, up to 100. This field [paginates](https://developer.github.com/v3/#pagination) if there are over 100 contexts.
+         *
+         * Additionally, a combined `state` is returned. The `state` is one of:
+         *
+         * *   **failure** if any of the contexts report as `error` or `failure`
+         * *   **pending** if there are no statuses or a context is `pending`
+         * *   **success** if the latest status for all contexts is `success`
+         */
+        getCombinedStatusForRef: {
+            (params?: RestEndpointMethodTypes["repos"]["getCombinedStatusForRef"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getCombinedStatusForRef"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns the contents of a single commit reference. You must have `read` access for the repository to use this endpoint.
+         *
+         * You can pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch `diff` and `patch` formats. Diffs with binary data will have no `patch` property.
+         *
+         * To return only the SHA-1 hash of the commit reference, you can provide the `sha` custom [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) in the `Accept` header. You can use this endpoint to check if a remote reference's SHA-1 hash is the same as your local reference's SHA-1 hash by providing the local SHA-1 reference as the ETag.
+         *
+         * **Signature verification object**
+         *
+         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
+         *
+         * These are the possible values for `reason` in the `verification` object:
+         *
+         * | Value                    | Description                                                                                                                       |
+         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
+         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
+         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
+         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
+         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
+         * | `unsigned`               | The object does not include a signature.                                                                                          |
+         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
+         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
+         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
+         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
+         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
+         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
+         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
+         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
+         */
+        getCommit: {
+            (params?: RestEndpointMethodTypes["repos"]["getCommit"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getCommit"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns the last year of commit activity grouped by week. The `days` array is a group of commits per day, starting on `Sunday`.
+         */
+        getCommitActivityStats: {
+            (params?: RestEndpointMethodTypes["repos"]["getCommitActivityStats"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getCommitActivityStats"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getCommitComment: {
+            (params?: RestEndpointMethodTypes["repos"]["getCommitComment"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getCommitComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * When authenticated with admin or owner permissions to the repository, you can use this endpoint to check whether a branch requires signed commits. An enabled status of `true` indicates you must sign commits on this branch. For more information, see [Signing commits with GPG](https://docs.github.com/articles/signing-commits-with-gpg) in GitHub Help.
+         *
+         * **Note**: You must enable branch protection to require signed commits.
+         */
+        getCommitSignatureProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["getCommitSignatureProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getCommitSignatureProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint will return all community profile metrics, including an overall health score, repository description, the presence of documentation, detected code of conduct, detected license, and the presence of ISSUE\_TEMPLATE, PULL\_REQUEST\_TEMPLATE, README, and CONTRIBUTING files.
+         */
+        getCommunityProfileMetrics: {
+            (params?: RestEndpointMethodTypes["repos"]["getCommunityProfileMetrics"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getCommunityProfileMetrics"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets the contents of a file or directory in a repository. Specify the file path or directory in `:path`. If you omit
+         * `:path`, you will receive the contents of all files in the repository.
+         *
+         * Files and symlinks support [a custom media type](https://developer.github.com/v3/repos/contents/#custom-media-types) for
+         * retrieving the raw content or rendered HTML (when supported). All content types support [a custom media
+         * type](https://developer.github.com/v3/repos/contents/#custom-media-types) to ensure the content is returned in a consistent
+         * object format.
+         *
+         * **Note**:
+         * *   To get a repository's contents recursively, you can [recursively get the tree](https://developer.github.com/v3/git/trees/).
+         * *   This API has an upper limit of 1,000 files for a directory. If you need to retrieve more files, use the [Git Trees
+         * API](https://developer.github.com/v3/git/trees/#get-a-tree).
+         * *   This API supports files up to 1 megabyte in size.
+         *
+         * #### If the content is a directory
+         * The response will be an array of objects, one object for each item in the directory.
+         * When listing the contents of a directory, submodules have their "type" specified as "file". Logically, the value
+         * _should_ be "submodule". This behavior exists in API v3 [for backwards compatibility purposes](https://git.io/v1YCW).
+         * In the next major version of the API, the type will be returned as "submodule".
+         *
+         * #### If the content is a symlink
+         * If the requested `:path` points to a symlink, and the symlink's target is a normal file in the repository, then the
+         * API responds with the content of the file (in the format shown in the example. Otherwise, the API responds with an object
+         * describing the symlink itself.
+         *
+         * #### If the content is a submodule
+         * The `submodule_git_url` identifies the location of the submodule repository, and the `sha` identifies a specific
+         * commit within the submodule repository. Git uses the given URL when cloning the submodule repository, and checks out
+         * the submodule at that specific commit.
+         *
+         * If the submodule repository is not hosted on github.com, the Git URLs (`git_url` and `_links["git"]`) and the
+         * github.com URLs (`html_url` and `_links["html"]`) will have null values.
+         */
+        getContent: {
+            (params?: RestEndpointMethodTypes["repos"]["getContent"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getContent"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns the `total` number of commits authored by the contributor. In addition, the response includes a Weekly Hash (`weeks` array) with the following information:
+         *
+         * *   `w` - Start of the week, given as a [Unix timestamp](http://en.wikipedia.org/wiki/Unix_time).
+         * *   `a` - Number of additions
+         * *   `d` - Number of deletions
+         * *   `c` - Number of commits
+         */
+        getContributorsStats: {
+            (params?: RestEndpointMethodTypes["repos"]["getContributorsStats"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getContributorsStats"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getDeployKey: {
+            (params?: RestEndpointMethodTypes["repos"]["getDeployKey"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getDeployKey"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getDeployment: {
+            (params?: RestEndpointMethodTypes["repos"]["getDeployment"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getDeployment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with pull access can view a deployment status for a deployment:
+         */
+        getDeploymentStatus: {
+            (params?: RestEndpointMethodTypes["repos"]["getDeploymentStatus"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getDeploymentStatus"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getLatestPagesBuild: {
+            (params?: RestEndpointMethodTypes["repos"]["getLatestPagesBuild"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getLatestPagesBuild"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * View the latest published full release for the repository.
+         *
+         * The latest release is the most recent non-prerelease, non-draft release, sorted by the `created_at` attribute. The `created_at` attribute is the date of the commit used for the release, and not the date when the release was drafted or published.
+         */
+        getLatestRelease: {
+            (params?: RestEndpointMethodTypes["repos"]["getLatestRelease"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getLatestRelease"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getPages: {
+            (params?: RestEndpointMethodTypes["repos"]["getPages"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getPages"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getPagesBuild: {
+            (params?: RestEndpointMethodTypes["repos"]["getPagesBuild"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getPagesBuild"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Returns the total commit counts for the `owner` and total commit counts in `all`. `all` is everyone combined, including the `owner` in the last 52 weeks. If you'd like to get the commit counts for non-owners, you can subtract `owner` from `all`.
+         *
+         * The array order is oldest week (index 0) to most recent week.
+         */
+        getParticipationStats: {
+            (params?: RestEndpointMethodTypes["repos"]["getParticipationStats"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getParticipationStats"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        getPullRequestReviewProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["getPullRequestReviewProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getPullRequestReviewProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Each array contains the day number, hour number, and number of commits:
+         *
+         * *   `0-6`: Sunday - Saturday
+         * *   `0-23`: Hour of day
+         * *   Number of commits
+         *
+         * For example, `[2, 14, 25]` indicates that there were 25 total commits, during the 2:00pm hour on Tuesdays. All times are based on the time zone of individual commits.
+         */
+        getPunchCardStats: {
+            (params?: RestEndpointMethodTypes["repos"]["getPunchCardStats"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getPunchCardStats"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets the preferred README for a repository.
+         *
+         * READMEs support [custom media types](https://developer.github.com/v3/repos/contents/#custom-media-types) for retrieving the raw content or rendered HTML.
+         */
+        getReadme: {
+            (params?: RestEndpointMethodTypes["repos"]["getReadme"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getReadme"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** This returns an `upload_url` key corresponding to the endpoint for uploading release assets. This key is a [hypermedia resource](https://developer.github.com/v3/#hypermedia).
+         */
+        getRelease: {
+            (params?: RestEndpointMethodTypes["repos"]["getRelease"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getRelease"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * To download the asset's binary content, set the `Accept` header of the request to [`application/octet-stream`](https://developer.github.com/v3/media/#media-types). The API will either redirect the client to the location, or stream it directly if possible. API clients should handle both a `200` or `302` response.
+         */
+        getReleaseAsset: {
+            (params?: RestEndpointMethodTypes["repos"]["getReleaseAsset"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getReleaseAsset"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Get a published release with the specified tag.
+         */
+        getReleaseByTag: {
+            (params?: RestEndpointMethodTypes["repos"]["getReleaseByTag"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getReleaseByTag"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        getStatusChecksProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["getStatusChecksProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getStatusChecksProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Lists the teams who have push access to this branch. The list includes child teams.
+         */
+        getTeamsWithAccessToProtectedBranch: {
+            (params?: RestEndpointMethodTypes["repos"]["getTeamsWithAccessToProtectedBranch"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getTeamsWithAccessToProtectedBranch"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Get the top 10 popular contents over the last 14 days.
+         */
+        getTopPaths: {
+            (params?: RestEndpointMethodTypes["repos"]["getTopPaths"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getTopPaths"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Get the top 10 referrers over the last 14 days.
+         */
+        getTopReferrers: {
+            (params?: RestEndpointMethodTypes["repos"]["getTopReferrers"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getTopReferrers"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Lists the people who have push access to this branch.
+         */
+        getUsersWithAccessToProtectedBranch: {
+            (params?: RestEndpointMethodTypes["repos"]["getUsersWithAccessToProtectedBranch"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getUsersWithAccessToProtectedBranch"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Get the total number of views and breakdown per day or week for the last 14 days. Timestamps are aligned to UTC midnight of the beginning of the day or week. Week begins on Monday.
+         */
+        getViews: {
+            (params?: RestEndpointMethodTypes["repos"]["getViews"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getViews"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        getWebhook: {
+            (params?: RestEndpointMethodTypes["repos"]["getWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["getWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listBranches: {
+            (params?: RestEndpointMethodTypes["repos"]["listBranches"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listBranches"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Returns all branches where the given commit SHA is the HEAD, or latest commit for the branch.
+         */
+        listBranchesForHeadCommit: {
+            (params?: RestEndpointMethodTypes["repos"]["listBranchesForHeadCommit"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listBranchesForHeadCommit"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * For organization-owned repositories, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners.
+         *
+         * Team members will include the members of child teams.
+         */
+        listCollaborators: {
+            (params?: RestEndpointMethodTypes["repos"]["listCollaborators"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listCollaborators"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Use the `:commit_sha` to specify the commit that will have its comments listed.
+         */
+        listCommentsForCommit: {
+            (params?: RestEndpointMethodTypes["repos"]["listCommentsForCommit"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listCommentsForCommit"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Commit Comments use [these custom media types](https://developer.github.com/v3/repos/comments/#custom-media-types). You can read more about the use of media types in the API [here](https://developer.github.com/v3/media/).
+         *
+         * Comments are ordered by ascending ID.
+         */
+        listCommitCommentsForRepo: {
+            (params?: RestEndpointMethodTypes["repos"]["listCommitCommentsForRepo"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listCommitCommentsForRepo"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with pull access in a repository can view commit statuses for a given ref. The ref can be a SHA, a branch name, or a tag name. Statuses are returned in reverse chronological order. The first status in the list will be the latest one.
+         *
+         * This resource is also available via a legacy route: `GET /repos/:owner/:repo/statuses/:ref`.
+         */
+        listCommitStatusesForRef: {
+            (params?: RestEndpointMethodTypes["repos"]["listCommitStatusesForRef"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listCommitStatusesForRef"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Signature verification object**
+         *
+         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
+         *
+         * These are the possible values for `reason` in the `verification` object:
+         *
+         * | Value                    | Description                                                                                                                       |
+         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
+         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
+         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
+         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
+         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
+         * | `unsigned`               | The object does not include a signature.                                                                                          |
+         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
+         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
+         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
+         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
+         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
+         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
+         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
+         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
+         */
+        listCommits: {
+            (params?: RestEndpointMethodTypes["repos"]["listCommits"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listCommits"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists contributors to the specified repository and sorts them by the number of commits per contributor in descending order. This endpoint may return information that is a few hours old because the GitHub REST API v3 caches contributor data to improve performance.
+         *
+         * GitHub identifies contributors by author email address. This endpoint groups contribution counts by GitHub user, which includes all associated email addresses. To improve performance, only the first 500 author email addresses in the repository link to GitHub users. The rest will appear as anonymous contributors without associated GitHub user information.
+         */
+        listContributors: {
+            (params?: RestEndpointMethodTypes["repos"]["listContributors"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listContributors"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listDeployKeys: {
+            (params?: RestEndpointMethodTypes["repos"]["listDeployKeys"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listDeployKeys"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with pull access can view deployment statuses for a deployment:
+         */
+        listDeploymentStatuses: {
+            (params?: RestEndpointMethodTypes["repos"]["listDeploymentStatuses"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listDeploymentStatuses"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Simple filtering of deployments is available via query parameters:
+         */
+        listDeployments: {
+            (params?: RestEndpointMethodTypes["repos"]["listDeployments"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listDeployments"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists repositories that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access.
+         *
+         * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
+         */
+        listForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["repos"]["listForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists repositories for the specified organization.
+         */
+        listForOrg: {
+            (params?: RestEndpointMethodTypes["repos"]["listForOrg"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listForOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists public repositories for the specified user.
+         */
+        listForUser: {
+            (params?: RestEndpointMethodTypes["repos"]["listForUser"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listForks: {
+            (params?: RestEndpointMethodTypes["repos"]["listForks"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listForks"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * When authenticating as a user with admin rights to a repository, this endpoint will list all currently open repository invitations.
+         */
+        listInvitations: {
+            (params?: RestEndpointMethodTypes["repos"]["listInvitations"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listInvitations"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * When authenticating as a user, this endpoint will list all currently open repository invitations for that user.
+         */
+        listInvitationsForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["repos"]["listInvitationsForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listInvitationsForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists languages for the specified repository. The value shown for each language is the number of bytes of code written in that language.
+         */
+        listLanguages: {
+            (params?: RestEndpointMethodTypes["repos"]["listLanguages"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listLanguages"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listPagesBuilds: {
+            (params?: RestEndpointMethodTypes["repos"]["listPagesBuilds"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listPagesBuilds"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all public repositories in the order that they were created.
+         *
+         * Note: Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of repositories.
+         */
+        listPublic: {
+            (params?: RestEndpointMethodTypes["repos"]["listPublic"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listPublic"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all pull requests containing the provided commit SHA, which can be from any point in the commit history. The results will include open and closed pull requests. Additional preview headers may be required to see certain details for associated pull requests, such as whether a pull request is in a draft state. For more information about previews that might affect this endpoint, see the [List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests) endpoint.
+         */
+        listPullRequestsAssociatedWithCommit: {
+            (params?: RestEndpointMethodTypes["repos"]["listPullRequestsAssociatedWithCommit"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listPullRequestsAssociatedWithCommit"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listReleaseAssets: {
+            (params?: RestEndpointMethodTypes["repos"]["listReleaseAssets"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listReleaseAssets"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This returns a list of releases, which does not include regular Git tags that have not been associated with a release. To get a list of Git tags, use the [Repository Tags API](https://developer.github.com/v3/repos/#list-repository-tags).
+         *
+         * Information about published releases are available to everyone. Only users with push access will receive listings for draft releases.
+         */
+        listReleases: {
+            (params?: RestEndpointMethodTypes["repos"]["listReleases"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listReleases"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listTags: {
+            (params?: RestEndpointMethodTypes["repos"]["listTags"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listTags"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listTeams: {
+            (params?: RestEndpointMethodTypes["repos"]["listTeams"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listTeams"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        listWebhooks: {
+            (params?: RestEndpointMethodTypes["repos"]["listWebhooks"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["listWebhooks"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        merge: {
+            (params?: RestEndpointMethodTypes["repos"]["merge"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["merge"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This will trigger a [ping event](https://developer.github.com/webhooks/#ping-event) to be sent to the hook.
+         */
+        pingWebhook: {
+            (params?: RestEndpointMethodTypes["repos"]["pingWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["pingWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Removes the ability of an app to push to this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
+         *
+         * | Type    | Description                                                                                                                                                |
+         * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
+         * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        removeAppAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["removeAppAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["removeAppAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        removeCollaborator: {
+            (params?: RestEndpointMethodTypes["repos"]["removeCollaborator"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["removeCollaborator"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        removeStatusCheckContexts: {
+            (params?: RestEndpointMethodTypes["repos"]["removeStatusCheckContexts"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["removeStatusCheckContexts"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        removeStatusCheckProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["removeStatusCheckProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["removeStatusCheckProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Removes the ability of a team to push to this branch. You can also remove push access for child teams.
+         *
+         * | Type    | Description                                                                                                                                         |
+         * | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------- |
+         * | `array` | Teams that should no longer have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        removeTeamAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["removeTeamAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["removeTeamAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Removes the ability of a user to push to this branch.
+         *
+         * | Type    | Description                                                                                                                                   |
+         * | ------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
+         * | `array` | Usernames of the people who should no longer have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        removeUserAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["removeUserAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["removeUserAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        replaceAllTopics: {
+            (params?: RestEndpointMethodTypes["repos"]["replaceAllTopics"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["replaceAllTopics"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * You can request that your site be built from the latest revision on the default branch. This has the same effect as pushing a commit to your default branch, but does not require an additional commit. Manually triggering page builds can be helpful when diagnosing build warnings and failures.
+         *
+         * Build requests are limited to one concurrent build per repository and one concurrent build per requester. If you request a build while another is still in progress, the second request will be queued until the first completes.
+         */
+        requestPagesBuild: {
+            (params?: RestEndpointMethodTypes["repos"]["requestPagesBuild"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["requestPagesBuild"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Adding admin enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
+         */
+        setAdminBranchProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["setAdminBranchProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["setAdminBranchProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Replaces the list of apps that have push access to this branch. This removes all apps that previously had push access and grants push access to the new list of apps. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
+         *
+         * | Type    | Description                                                                                                                                                |
+         * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
+         * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        setAppAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["setAppAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["setAppAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         */
+        setStatusCheckContexts: {
+            (params?: RestEndpointMethodTypes["repos"]["setStatusCheckContexts"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["setStatusCheckContexts"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Replaces the list of teams that have push access to this branch. This removes all teams that previously had push access and grants push access to the new list of teams. Team restrictions include child teams.
+         *
+         * | Type    | Description                                                                                                                                |
+         * | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
+         * | `array` | The teams that can have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        setTeamAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["setTeamAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["setTeamAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Replaces the list of people that have push access to this branch. This removes all people that previously had push access and grants push access to the new list of people.
+         *
+         * | Type    | Description                                                                                                                   |
+         * | ------- | ----------------------------------------------------------------------------------------------------------------------------- |
+         * | `array` | Usernames for people who can have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
+         */
+        setUserAccessRestrictions: {
+            (params?: RestEndpointMethodTypes["repos"]["setUserAccessRestrictions"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["setUserAccessRestrictions"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This will trigger the hook with the latest push to the current repository if the hook is subscribed to `push` events. If the hook is not subscribed to `push` events, the server will respond with 204 but no test POST will be generated.
+         *
+         * **Note**: Previously `/repos/:owner/:repo/hooks/:hook_id/test`
+         */
+        testPushWebhook: {
+            (params?: RestEndpointMethodTypes["repos"]["testPushWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["testPushWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * A transfer request will need to be accepted by the new owner when transferring a personal repository to another user. The response will contain the original `owner`, and the transfer will continue asynchronously. For more details on the requirements to transfer personal and organization-owned repositories, see [about repository transfers](https://docs.github.com/articles/about-repository-transfers/).
+         */
+        transfer: {
+            (params?: RestEndpointMethodTypes["repos"]["transfer"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["transfer"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note**: To edit a repository's topics, use the [Replace all repository topics](https://developer.github.com/v3/repos/#replace-all-repository-topics) endpoint.
+         */
+        update: {
+            (params?: RestEndpointMethodTypes["repos"]["update"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["update"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Protecting a branch requires admin or owner permissions to the repository.
+         *
+         * **Note**: Passing new arrays of `users` and `teams` replaces their previous values.
+         *
+         * **Note**: The list of users, apps, and teams in total is limited to 100 items.
+         */
+        updateBranchProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["updateBranchProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updateBranchProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateCommitComment: {
+            (params?: RestEndpointMethodTypes["repos"]["updateCommitComment"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updateCommitComment"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateInformationAboutPagesSite: {
+            (params?: RestEndpointMethodTypes["repos"]["updateInformationAboutPagesSite"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updateInformationAboutPagesSite"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateInvitation: {
+            (params?: RestEndpointMethodTypes["repos"]["updateInvitation"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updateInvitation"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Updating pull request review enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
+         *
+         * **Note**: Passing new arrays of `users` and `teams` replaces their previous values.
+         */
+        updatePullRequestReviewProtection: {
+            (params?: RestEndpointMethodTypes["repos"]["updatePullRequestReviewProtection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updatePullRequestReviewProtection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with push access to the repository can edit a release.
+         */
+        updateRelease: {
+            (params?: RestEndpointMethodTypes["repos"]["updateRelease"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updateRelease"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Users with push access to the repository can edit a release asset.
+         */
+        updateReleaseAsset: {
+            (params?: RestEndpointMethodTypes["repos"]["updateReleaseAsset"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updateReleaseAsset"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Protected branches are available in public repositories with GitHub Free and GitHub Free for organizations, and in public and private repositories with GitHub Pro, GitHub Team, GitHub Enterprise Cloud, and GitHub Enterprise Server. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Updating required status checks requires admin or owner permissions to the repository and branch protection to be enabled.
+         */
+        updateStatusCheckPotection: {
+            (params?: RestEndpointMethodTypes["repos"]["updateStatusCheckPotection"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updateStatusCheckPotection"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        updateWebhook: {
+            (params?: RestEndpointMethodTypes["repos"]["updateWebhook"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["updateWebhook"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint makes use of [a Hypermedia relation](https://developer.github.com/v3/#hypermedia) to determine which URL to access. The endpoint you call to upload release assets is specific to your release. Use the `upload_url` returned in
+         * the response of the [Create a release endpoint](https://developer.github.com/v3/repos/releases/#create-a-release) to upload a release asset.
+         *
+         * You need to use an HTTP client which supports [SNI](http://en.wikipedia.org/wiki/Server_Name_Indication) to make calls to this endpoint.
+         *
+         * Most libraries will set the required `Content-Length` header automatically. Use the required `Content-Type` header to provide the media type of the asset. For a list of media types, see [Media Types](https://www.iana.org/assignments/media-types/media-types.xhtml). For example:
+         *
+         * `application/zip`
+         *
+         * GitHub expects the asset data in its raw binary form, rather than JSON. You will send the raw binary content of the asset as the request body. Everything else about the endpoint is the same as the rest of the API. For example,
+         * you'll still need to pass your authentication to be able to upload an asset.
+         *
+         * When an upstream failure occurs, you will receive a `502 Bad Gateway` status. This may leave an empty asset with a state of `starter`. It can be safely deleted.
+         *
+         * **Notes:**
+         * *   GitHub renames asset filenames that have special characters, non-alphanumeric characters, and leading or trailing periods. The "[List assets for a release](https://developer.github.com/v3/repos/releases/#list-assets-for-a-release)"
+         * endpoint lists the renamed filenames. For more information and help, contact [GitHub Support](https://github.com/contact).
+         * *   If you upload an asset with the same filename as another uploaded asset, you'll receive an error and must delete the old file before you can re-upload the new asset.
+         */
+        uploadReleaseAsset: {
+            (params?: RestEndpointMethodTypes["repos"]["uploadReleaseAsset"]["parameters"]): Promise<RestEndpointMethodTypes["repos"]["uploadReleaseAsset"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    search: {
+        /**
+         * Searches for query terms inside of a file. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
+         *
+         * When searching for code, you can get text match metadata for the file **content** and file **path** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
+         *
+         * For example, if you want to find the definition of the `addClass` function inside [jQuery](https://github.com/jquery/jquery) repository, your query would look something like this:
+         *
+         * `q=addClass+in:file+language:js+repo:jquery/jquery`
+         *
+         * This query searches for the keyword `addClass` within a file's contents. The query limits the search to files where the language is JavaScript in the `jquery/jquery` repository.
+         *
+         * #### Considerations for code search
+         *
+         * Due to the complexity of searching code, there are a few restrictions on how searches are performed:
+         *
+         * *   Only the _default branch_ is considered. In most cases, this will be the `master` branch.
+         * *   Only files smaller than 384 KB are searchable.
+         * *   You must always include at least one search term when searching source code. For example, searching for [`language:go`](https://github.com/search?utf8=%E2%9C%93&q=language%3Ago&type=Code) is not valid, while [`amazing
+         * language:go`](https://github.com/search?utf8=%E2%9C%93&q=amazing+language%3Ago&type=Code) is.
+         */
+        code: {
+            (params?: RestEndpointMethodTypes["search"]["code"]["parameters"]): Promise<RestEndpointMethodTypes["search"]["code"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Find commits via various criteria on the default branch (usually `master`). This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
+         *
+         * When searching for commits, you can get text match metadata for the **message** field when you provide the `text-match` media type. For more details about how to receive highlighted search results, see [Text match
+         * metadata](https://developer.github.com/v3/search/#text-match-metadata).
+         *
+         * For example, if you want to find commits related to CSS in the [octocat/Spoon-Knife](https://github.com/octocat/Spoon-Knife) repository. Your query would look something like this:
+         *
+         * `q=repo:octocat/Spoon-Knife+css`
+         */
+        commits: {
+            (params?: RestEndpointMethodTypes["search"]["commits"]["parameters"]): Promise<RestEndpointMethodTypes["search"]["commits"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Find issues by state and keyword. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
+         *
+         * When searching for issues, you can get text match metadata for the issue **title**, issue **body**, and issue **comment body** fields when you pass the `text-match` media type. For more details about how to receive highlighted
+         * search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
+         *
+         * For example, if you want to find the oldest unresolved Python bugs on Windows. Your query might look something like this.
+         *
+         * `q=windows+label:bug+language:python+state:open&sort=created&order=asc`
+         *
+         * This query searches for the keyword `windows`, within any open issue that is labeled as `bug`. The search runs across repositories whose primary language is Python. The results are sorted by creation date in ascending order, whick means the oldest issues appear first in the search results.
+         */
+        issuesAndPullRequests: {
+            (params?: RestEndpointMethodTypes["search"]["issuesAndPullRequests"]["parameters"]): Promise<RestEndpointMethodTypes["search"]["issuesAndPullRequests"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Find labels in a repository with names or descriptions that match search keywords. Returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
+         *
+         * When searching for labels, you can get text match metadata for the label **name** and **description** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
+         *
+         * For example, if you want to find labels in the `linguist` repository that match `bug`, `defect`, or `enhancement`. Your query might look like this:
+         *
+         * `q=bug+defect+enhancement&repository_id=64778136`
+         *
+         * The labels that best match the query appear first in the search results.
+         */
+        labels: {
+            (params?: RestEndpointMethodTypes["search"]["labels"]["parameters"]): Promise<RestEndpointMethodTypes["search"]["labels"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Find repositories via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
+         *
+         * When searching for repositories, you can get text match metadata for the **name** and **description** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
+         *
+         * For example, if you want to search for popular Tetris repositories written in assembly code, your query might look like this:
+         *
+         * `q=tetris+language:assembly&sort=stars&order=desc`
+         *
+         * This query searches for repositories with the word `tetris` in the name, the description, or the README. The results are limited to repositories where the primary language is assembly. The results are sorted by stars in descending order, so that the most popular repositories appear first in the search results.
+         *
+         * When you include the `mercy` preview header, you can also search for multiple topics by adding more `topic:` instances. For example, your query might look like this:
+         *
+         * `q=topic:ruby+topic:rails`
+         */
+        repos: {
+            (params?: RestEndpointMethodTypes["search"]["repos"]["parameters"]): Promise<RestEndpointMethodTypes["search"]["repos"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Find topics via various criteria. Results are sorted by best match. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination). See "[Searching topics](https://docs.github.com/articles/searching-topics/)" for a detailed list of qualifiers.
+         *
+         * When searching for topics, you can get text match metadata for the topic's **short\_description**, **description**, **name**, or **display\_name** field when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
+         *
+         * For example, if you want to search for topics related to Ruby that are featured on https://github.com/topics. Your query might look like this:
+         *
+         * `q=ruby+is:featured`
+         *
+         * This query searches for topics with the keyword `ruby` and limits the results to find only topics that are featured. The topics that are the best match for the query appear first in the search results.
+         */
+        topics: {
+            (params?: RestEndpointMethodTypes["search"]["topics"]["parameters"]): Promise<RestEndpointMethodTypes["search"]["topics"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Find users via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
+         *
+         * When searching for users, you can get text match metadata for the issue **login**, **email**, and **name** fields when you pass the `text-match` media type. For more details about highlighting search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata). For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
+         *
+         * For example, if you're looking for a list of popular users, you might try this query:
+         *
+         * `q=tom+repos:%3E42+followers:%3E1000`
+         *
+         * This query searches for users with the name `tom`. The results are restricted to users with more than 42 repositories and over 1,000 followers.
+         */
+        users: {
+            (params?: RestEndpointMethodTypes["search"]["users"]["parameters"]): Promise<RestEndpointMethodTypes["search"]["users"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    teams: {
+        /**
+         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * Adds an organization member to a team. An authenticated organization owner or team maintainer can add organization members to a team.
+         *
+         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://docs.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
+         *
+         * An organization owner can add someone who is not part of the team's organization to a team. When an organization owner adds someone to a team who is not an organization member, this endpoint will send an invitation to the person via email. This newly-created membership will be in the "pending" state until the person accepts the invitation, at which point the membership will transition to the "active" state and the user will be added as a member of the team.
+         *
+         * If the user is already a member of the team, this endpoint will update the role of the team member's role. To update the membership of a team member, the authenticated user must be an organization owner or a team maintainer.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/{org_id}/team/{team_id}/memberships/{username}`.
+         */
+        addOrUpdateMembershipForUserInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["addOrUpdateMembershipForUserInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["addOrUpdateMembershipForUserInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Adds an organization project to a team. To add a project to a team or update the team's permission on a project, the authenticated user must have `admin` permissions for the project. The project and team must be part of the same organization.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/{org_id}/team/{team_id}/projects/{project_id}`.
+         */
+        addOrUpdateProjectPermissionsInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["addOrUpdateProjectPermissionsInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["addOrUpdateProjectPermissionsInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * To add a repository to a team or update the team's permission on a repository, the authenticated user must have admin access to the repository, and must be able to see the team. The repository must be owned by the organization, or a direct fork of a repository owned by the organization. You will get a `422 Unprocessable Entity` status if you attempt to add a repository to a team that is not owned by the organization. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/{org_id}/team/{team_id}/repos/{owner}/{repo}`.
+         *
+         * For more information about the permission levels, see "[Repository permission levels for an organization](https://docs.github.com/en/github/setting-up-and-managing-organizations-and-teams/repository-permission-levels-for-an-organization#permission-levels-for-repositories-owned-by-an-organization)".
+         */
+        addOrUpdateRepoPermissionsInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["addOrUpdateRepoPermissionsInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["addOrUpdateRepoPermissionsInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Checks whether a team has `read`, `write`, or `admin` permissions for an organization project. The response includes projects inherited from a parent team.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/projects/{project_id}`.
+         */
+        checkPermissionsForProjectInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["checkPermissionsForProjectInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["checkPermissionsForProjectInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Checks whether a team has `admin`, `push`, `maintain`, `triage`, or `pull` permission for a repository. Repositories inherited through a parent team will also be checked.
+         *
+         * You can also get information about the specified repository, including what permissions the team grants on it, by passing the following custom [media type](https://developer.github.com/v3/media/) via the `application/vnd.github.v3.repository+json` accept header.
+         *
+         * If a team doesn't have permission for the repository, you will receive a `404 Not Found` response status.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/repos/{owner}/{repo}`.
+         */
+        checkPermissionsForRepoInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["checkPermissionsForRepoInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["checkPermissionsForRepoInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * To create a team, the authenticated user must be a member or owner of `{org}`. By default, organization members can create teams. Organization owners can limit team creation to organization owners. For more information, see "[Setting team creation permissions](https://docs.github.com/en/articles/setting-team-creation-permissions-in-your-organization)."
+         *
+         * When you create a new team, you automatically become a team maintainer without explicitly adding yourself to the optional array of `maintainers`. For more information, see "[About teams](https://docs.github.com/en/github/setting-up-and-managing-organizations-and-teams/about-teams)".
+         */
+        create: {
+            (params?: RestEndpointMethodTypes["teams"]["create"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["create"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a new comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/{org_id}/team/{team_id}/discussions/{discussion_number}/comments`.
+         */
+        createDiscussionCommentInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["createDiscussionCommentInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["createDiscussionCommentInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Creates a new discussion post on a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * This endpoint triggers [notifications](https://docs.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/{org_id}/team/{team_id}/discussions`.
+         */
+        createDiscussionInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["createDiscussionInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["createDiscussionInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Deletes a comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/{org_id}/team/{team_id}/discussions/{discussion_number}/comments/{comment_number}`.
+         */
+        deleteDiscussionCommentInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["deleteDiscussionCommentInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["deleteDiscussionCommentInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Delete a discussion from a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/{org_id}/team/{team_id}/discussions/{discussion_number}`.
+         */
+        deleteDiscussionInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["deleteDiscussionInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["deleteDiscussionInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * To delete a team, the authenticated user must be an organization owner or team maintainer.
+         *
+         * If you are an organization owner, deleting a parent team will delete all of its child teams as well.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/{org_id}/team/{team_id}`.
+         */
+        deleteInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["deleteInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["deleteInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Gets a team using the team's `slug`. GitHub generates the `slug` from the team `name`.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}`.
+         */
+        getByName: {
+            (params?: RestEndpointMethodTypes["teams"]["getByName"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["getByName"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Get a specific comment on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/discussions/{discussion_number}/comments/{comment_number}`.
+         */
+        getDiscussionCommentInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["getDiscussionCommentInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["getDiscussionCommentInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Get a specific discussion on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/discussions/{discussion_number}`.
+         */
+        getDiscussionInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["getDiscussionInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["getDiscussionInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Team members will include the members of child teams.
+         *
+         * To get a user's membership with a team, the team must be visible to the authenticated user.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/memberships/{username}`.
+         *
+         * **Note:** The `role` for organization owners returns as `maintainer`. For more information about `maintainer` roles, see [Create a team](https://developer.github.com/v3/teams/#create-a-team).
+         */
+        getMembershipForUserInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["getMembershipForUserInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["getMembershipForUserInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all teams in an organization that are visible to the authenticated user.
+         */
+        list: {
+            (params?: RestEndpointMethodTypes["teams"]["list"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["list"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the child teams of the team specified by `{team_slug}`.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/teams`.
+         */
+        listChildInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["listChildInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["listChildInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all comments on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/discussions/{discussion_number}/comments`.
+         */
+        listDiscussionCommentsInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["listDiscussionCommentsInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["listDiscussionCommentsInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all discussions on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/discussions`.
+         */
+        listDiscussionsInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["listDiscussionsInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["listDiscussionsInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List all of the teams across all of the organizations to which the authenticated user belongs. This method requires `user`, `repo`, or `read:org` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/) when authenticating via [OAuth](https://developer.github.com/apps/building-oauth-apps/).
+         */
+        listForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["teams"]["listForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["listForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Team members will include the members of child teams.
+         *
+         * To list members in a team, the team must be visible to the authenticated user.
+         */
+        listMembersInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["listMembersInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["listMembersInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/invitations`.
+         */
+        listPendingInvitationsInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["listPendingInvitationsInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["listPendingInvitationsInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the organization projects for a team.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/projects`.
+         */
+        listProjectsInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["listProjectsInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["listProjectsInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists a team's repositories visible to the authenticated user.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/{org_id}/team/{team_id}/repos`.
+         */
+        listReposInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["listReposInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["listReposInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://docs.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
+         *
+         * To remove a membership between a user and a team, the authenticated user must have 'admin' permissions to the team or be an owner of the organization that the team is associated with. Removing team membership does not delete the user, it just removes their membership from the team.
+         *
+         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://docs.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/{org_id}/team/{team_id}/memberships/{username}`.
+         */
+        removeMembershipForUserInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["removeMembershipForUserInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["removeMembershipForUserInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes an organization project from a team. An organization owner or a team maintainer can remove any project from the team. To remove a project from a team as an organization member, the authenticated user must have `read` access to both the team and project, or `admin` access to the team or project. This endpoint removes the project from the team, but does not delete the project.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/{org_id}/team/{team_id}/projects/{project_id}`.
+         */
+        removeProjectInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["removeProjectInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["removeProjectInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * If the authenticated user is an organization owner or a team maintainer, they can remove any repositories from the team. To remove a repository from a team as an organization member, the authenticated user must have admin access to the repository and must be able to see the team. This does not delete the repository, it just removes it from the team.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/{org_id}/team/{team_id}/repos/{owner}/{repo}`.
+         */
+        removeRepoInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["removeRepoInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["removeRepoInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Edits the body text of a discussion comment. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/{org_id}/team/{team_id}/discussions/{discussion_number}/comments/{comment_number}`.
+         */
+        updateDiscussionCommentInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["updateDiscussionCommentInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["updateDiscussionCommentInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Edits the title and body text of a discussion post. Only the parameters you provide are updated. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/{org_id}/team/{team_id}/discussions/{discussion_number}`.
+         */
+        updateDiscussionInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["updateDiscussionInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["updateDiscussionInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * To edit a team, the authenticated user must either be an organization owner or a team maintainer.
+         *
+         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/{org_id}/team/{team_id}`.
+         */
+        updateInOrg: {
+            (params?: RestEndpointMethodTypes["teams"]["updateInOrg"]["parameters"]): Promise<RestEndpointMethodTypes["teams"]["updateInOrg"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+    users: {
+        /**
+         * This endpoint is accessible with the `user` scope.
+         */
+        addEmailForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["addEmailForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["addEmailForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        block: {
+            (params?: RestEndpointMethodTypes["users"]["block"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["block"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * If the user is blocked:
+         *
+         * If the user is not blocked:
+         */
+        checkBlocked: {
+            (params?: RestEndpointMethodTypes["users"]["checkBlocked"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["checkBlocked"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        checkFollowingForUser: {
+            (params?: RestEndpointMethodTypes["users"]["checkFollowingForUser"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["checkFollowingForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        checkPersonIsFollowedByAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["checkPersonIsFollowedByAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["checkPersonIsFollowedByAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Adds a GPG key to the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth, or OAuth with at least `write:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        createGpgKeyForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["createGpgKeyForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["createGpgKeyForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Adds a public SSH key to the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth, or OAuth with at least `write:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        createPublicSshKeyForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["createPublicSshKeyForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["createPublicSshKeyForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * This endpoint is accessible with the `user` scope.
+         */
+        deleteEmailForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["deleteEmailForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["deleteEmailForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes a GPG key from the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `admin:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        deleteGpgKeyForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["deleteGpgKeyForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["deleteGpgKeyForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Removes a public SSH key from the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `admin:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        deletePublicSshKeyForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["deletePublicSshKeyForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["deletePublicSshKeyForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+         *
+         * Following a user requires the user to be logged in and authenticated with basic auth or OAuth with the `user:follow` scope.
+         */
+        follow: {
+            (params?: RestEndpointMethodTypes["users"]["follow"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["follow"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * If the authenticated user is authenticated through basic authentication or OAuth with the `user` scope, then the response lists public and private profile information.
+         *
+         * If the authenticated user is authenticated through OAuth without the `user` scope, then the response lists only public profile information.
+         */
+        getAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["getAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["getAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Provides publicly available information about someone with a GitHub account.
+         *
+         * GitHub Apps with the `Plan` user permission can use this endpoint to retrieve information about a user's GitHub plan. The GitHub App must be authenticated as a user. See "[Identifying and authorizing users for GitHub Apps](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/)" for details about authentication. For an example response, see "[Response with GitHub plan information](https://developer.github.com/v3/users/#response-with-github-plan-information)."
+         *
+         * The `email` key in the following response is the publicly visible email address from your GitHub [profile page](https://github.com/settings/profile). When setting up your profile, you can select a primary email address to be “public” which provides an email entry for this endpoint. If you do not set a public email address for `email`, then it will have a value of `null`. You only see publicly visible email addresses when authenticated with GitHub. For more information, see [Authentication](https://developer.github.com/v3/#authentication).
+         *
+         * The Emails API enables you to list all of your email addresses, and toggle a primary email to be visible publicly. For more information, see "[Emails API](https://developer.github.com/v3/users/emails/)".
+         */
+        getByUsername: {
+            (params?: RestEndpointMethodTypes["users"]["getByUsername"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["getByUsername"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Provides hovercard information when authenticated through basic auth or OAuth with the `repo` scope. You can find out more about someone in relation to their pull requests, issues, repositories, and organizations.
+         *
+         * The `subject_type` and `subject_id` parameters provide context for the person's hovercard, which returns more information than without the parameters. For example, if you wanted to find out more about `octocat` who owns the `Spoon-Knife` repository via cURL, it would look like this:
+         *
+         * ```shell
+         *  curl -u username:token
+         *   https://api.github.com/users/octocat/hovercard?subject_type=repository&subject_id=1300192
+         * ```
+         */
+        getContextForUser: {
+            (params?: RestEndpointMethodTypes["users"]["getContextForUser"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["getContextForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * View extended details for a single GPG key. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        getGpgKeyForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["getGpgKeyForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["getGpgKeyForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * View extended details for a single public SSH key. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        getPublicSshKeyForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["getPublicSshKeyForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["getPublicSshKeyForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all users, in the order that they signed up on GitHub. This list includes personal user accounts and organization accounts.
+         *
+         * Note: Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of users.
+         */
+        list: {
+            (params?: RestEndpointMethodTypes["users"]["list"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["list"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * List the users you've blocked on your personal account.
+         */
+        listBlockedByAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["listBlockedByAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listBlockedByAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists all of your email addresses, and specifies which one is visible to the public. This endpoint is accessible with the `user:email` scope.
+         */
+        listEmailsForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["listEmailsForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listEmailsForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the people who the authenticated user follows.
+         */
+        listFollowedByAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["listFollowedByAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listFollowedByAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the people following the authenticated user.
+         */
+        listFollowersForAuthenticatedUser: {
+            (params?: RestEndpointMethodTypes["users"]["listFollowersForAuthenticatedUser"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listFollowersForAuthenticatedUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the people following the specified user.
+         */
+        listFollowersForUser: {
+            (params?: RestEndpointMethodTypes["users"]["listFollowersForUser"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listFollowersForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the people who the specified user follows.
+         */
+        listFollowingForUser: {
+            (params?: RestEndpointMethodTypes["users"]["listFollowingForUser"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listFollowingForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the current user's GPG keys. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        listGpgKeysForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["listGpgKeysForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listGpgKeysForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the GPG keys for a user. This information is accessible by anyone.
+         */
+        listGpgKeysForUser: {
+            (params?: RestEndpointMethodTypes["users"]["listGpgKeysForUser"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listGpgKeysForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists your publicly visible email address, which you can set with the [Set primary email visibility for the authenticated user](https://developer.github.com/v3/users/emails/#set-primary-email-visibility-for-the-authenticated-user) endpoint. This endpoint is accessible with the `user:email` scope.
+         */
+        listPublicEmailsForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["listPublicEmailsForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listPublicEmailsForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the _verified_ public SSH keys for a user. This is accessible by anyone.
+         */
+        listPublicKeysForUser: {
+            (params?: RestEndpointMethodTypes["users"]["listPublicKeysForUser"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listPublicKeysForUser"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Lists the public SSH keys for the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
+         */
+        listPublicSshKeysForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["listPublicSshKeysForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["listPublicSshKeysForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Sets the visibility for your primary email addresses.
+         */
+        setPrimaryEmailVisibilityForAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["setPrimaryEmailVisibilityForAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["setPrimaryEmailVisibilityForAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        unblock: {
+            (params?: RestEndpointMethodTypes["users"]["unblock"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["unblock"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * Unfollowing a user requires the user to be logged in and authenticated with basic auth or OAuth with the `user:follow` scope.
+         */
+        unfollow: {
+            (params?: RestEndpointMethodTypes["users"]["unfollow"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["unfollow"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+        /**
+         * **Note:** If your email is set to private and you send an `email` parameter as part of this request to update your profile, your privacy settings are still enforced: the email address will not be displayed on your public profile or via the API.
+         */
+        updateAuthenticated: {
+            (params?: RestEndpointMethodTypes["users"]["updateAuthenticated"]["parameters"]): Promise<RestEndpointMethodTypes["users"]["updateAuthenticated"]["response"]>;
+            defaults: RequestInterface["defaults"];
+            endpoint: EndpointInterface<{
+                url: string;
+            }>;
+        };
+    };
+};
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/parameters-and-response-types.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/parameters-and-response-types.d.ts
new file mode 100644
index 000000000..7210f8f33
--- /dev/null
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/parameters-and-response-types.d.ts
@@ -0,0 +1,2275 @@
+import { Endpoints, RequestParameters } from "@octokit/types";
+export declare type RestEndpointMethodTypes = {
+    actions: {
+        addSelectedRepoToOrgSecret: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/actions/secrets/:secret_name/repositories/:repository_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/actions/secrets/:secret_name/repositories/:repository_id"]["response"];
+        };
+        cancelWorkflowRun: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/actions/runs/:run_id/cancel"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/actions/runs/:run_id/cancel"]["response"];
+        };
+        createOrUpdateOrgSecret: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/actions/secrets/:secret_name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/actions/secrets/:secret_name"]["response"];
+        };
+        createOrUpdateRepoSecret: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/actions/secrets/:secret_name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/actions/secrets/:secret_name"]["response"];
+        };
+        createRegistrationTokenForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/actions/runners/registration-token"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/actions/runners/registration-token"]["response"];
+        };
+        createRegistrationTokenForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/actions/runners/registration-token"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/actions/runners/registration-token"]["response"];
+        };
+        createRemoveTokenForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/actions/runners/remove-token"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/actions/runners/remove-token"]["response"];
+        };
+        createRemoveTokenForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/actions/runners/remove-token"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/actions/runners/remove-token"]["response"];
+        };
+        createWorkflowDispatch: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/actions/workflows/:workflow_id/dispatches"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/actions/workflows/:workflow_id/dispatches"]["response"];
+        };
+        deleteArtifact: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/actions/artifacts/:artifact_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/actions/artifacts/:artifact_id"]["response"];
+        };
+        deleteOrgSecret: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/actions/secrets/:secret_name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/actions/secrets/:secret_name"]["response"];
+        };
+        deleteRepoSecret: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/actions/secrets/:secret_name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/actions/secrets/:secret_name"]["response"];
+        };
+        deleteSelfHostedRunnerFromOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/actions/runners/:runner_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/actions/runners/:runner_id"]["response"];
+        };
+        deleteSelfHostedRunnerFromRepo: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/actions/runners/:runner_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/actions/runners/:runner_id"]["response"];
+        };
+        deleteWorkflowRun: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/actions/runs/:run_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/actions/runs/:run_id"]["response"];
+        };
+        deleteWorkflowRunLogs: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/actions/runs/:run_id/logs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/actions/runs/:run_id/logs"]["response"];
+        };
+        downloadArtifact: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format"]["response"];
+        };
+        downloadJobLogsForWorkflowRun: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/jobs/:job_id/logs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/jobs/:job_id/logs"]["response"];
+        };
+        downloadWorkflowRunLogs: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/logs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/logs"]["response"];
+        };
+        getArtifact: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/artifacts/:artifact_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/artifacts/:artifact_id"]["response"];
+        };
+        getJobForWorkflowRun: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/jobs/:job_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/jobs/:job_id"]["response"];
+        };
+        getOrgPublicKey: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/actions/secrets/public-key"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/actions/secrets/public-key"]["response"];
+        };
+        getOrgSecret: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/actions/secrets/:secret_name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/actions/secrets/:secret_name"]["response"];
+        };
+        getRepoPublicKey: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/secrets/public-key"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/secrets/public-key"]["response"];
+        };
+        getRepoSecret: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/secrets/:secret_name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/secrets/:secret_name"]["response"];
+        };
+        getSelfHostedRunnerForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/actions/runners/:runner_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/actions/runners/:runner_id"]["response"];
+        };
+        getSelfHostedRunnerForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runners/:runner_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runners/:runner_id"]["response"];
+        };
+        getWorkflow: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id"]["response"];
+        };
+        getWorkflowRun: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id"]["response"];
+        };
+        getWorkflowRunUsage: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/timing"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/timing"]["response"];
+        };
+        getWorkflowUsage: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id/timing"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id/timing"]["response"];
+        };
+        listArtifactsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/artifacts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/artifacts"]["response"];
+        };
+        listJobsForWorkflowRun: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/jobs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/jobs"]["response"];
+        };
+        listOrgSecrets: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/actions/secrets"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/actions/secrets"]["response"];
+        };
+        listRepoSecrets: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/secrets"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/secrets"]["response"];
+        };
+        listRepoWorkflows: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/workflows"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/workflows"]["response"];
+        };
+        listRunnerApplicationsForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/actions/runners/downloads"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/actions/runners/downloads"]["response"];
+        };
+        listRunnerApplicationsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runners/downloads"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runners/downloads"]["response"];
+        };
+        listSelectedReposForOrgSecret: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/actions/secrets/:secret_name/repositories"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/actions/secrets/:secret_name/repositories"]["response"];
+        };
+        listSelfHostedRunnersForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/actions/runners"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/actions/runners"]["response"];
+        };
+        listSelfHostedRunnersForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runners"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runners"]["response"];
+        };
+        listWorkflowRunArtifacts: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/artifacts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runs/:run_id/artifacts"]["response"];
+        };
+        listWorkflowRuns: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id/runs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/workflows/:workflow_id/runs"]["response"];
+        };
+        listWorkflowRunsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/actions/runs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/actions/runs"]["response"];
+        };
+        reRunWorkflow: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/actions/runs/:run_id/rerun"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/actions/runs/:run_id/rerun"]["response"];
+        };
+        removeSelectedRepoFromOrgSecret: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/actions/secrets/:secret_name/repositories/:repository_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/actions/secrets/:secret_name/repositories/:repository_id"]["response"];
+        };
+        setSelectedReposForOrgSecret: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/actions/secrets/:secret_name/repositories"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/actions/secrets/:secret_name/repositories"]["response"];
+        };
+    };
+    activity: {
+        checkRepoIsStarredByAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/starred/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/starred/:owner/:repo"]["response"];
+        };
+        deleteRepoSubscription: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/subscription"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/subscription"]["response"];
+        };
+        deleteThreadSubscription: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /notifications/threads/:thread_id/subscription"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /notifications/threads/:thread_id/subscription"]["response"];
+        };
+        getFeeds: {
+            parameters: RequestParameters & Omit<Endpoints["GET /feeds"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /feeds"]["response"];
+        };
+        getRepoSubscription: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/subscription"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/subscription"]["response"];
+        };
+        getThread: {
+            parameters: RequestParameters & Omit<Endpoints["GET /notifications/threads/:thread_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /notifications/threads/:thread_id"]["response"];
+        };
+        getThreadSubscriptionForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /notifications/threads/:thread_id/subscription"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /notifications/threads/:thread_id/subscription"]["response"];
+        };
+        listEventsForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/events"]["response"];
+        };
+        listNotificationsForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /notifications"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /notifications"]["response"];
+        };
+        listOrgEventsForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/events/orgs/:org"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/events/orgs/:org"]["response"];
+        };
+        listPublicEvents: {
+            parameters: RequestParameters & Omit<Endpoints["GET /events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /events"]["response"];
+        };
+        listPublicEventsForRepoNetwork: {
+            parameters: RequestParameters & Omit<Endpoints["GET /networks/:owner/:repo/events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /networks/:owner/:repo/events"]["response"];
+        };
+        listPublicEventsForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/events/public"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/events/public"]["response"];
+        };
+        listPublicOrgEvents: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/events"]["response"];
+        };
+        listReceivedEventsForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/received_events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/received_events"]["response"];
+        };
+        listReceivedPublicEventsForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/received_events/public"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/received_events/public"]["response"];
+        };
+        listRepoEvents: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/events"]["response"];
+        };
+        listRepoNotificationsForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/notifications"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/notifications"]["response"];
+        };
+        listReposStarredByAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/starred"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/starred"]["response"];
+        };
+        listReposStarredByUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/starred"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/starred"]["response"];
+        };
+        listReposWatchedByUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/subscriptions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/subscriptions"]["response"];
+        };
+        listStargazersForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/stargazers"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/stargazers"]["response"];
+        };
+        listWatchedReposForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/subscriptions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/subscriptions"]["response"];
+        };
+        listWatchersForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/subscribers"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/subscribers"]["response"];
+        };
+        markNotificationsAsRead: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /notifications"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /notifications"]["response"];
+        };
+        markRepoNotificationsAsRead: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/notifications"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/notifications"]["response"];
+        };
+        markThreadAsRead: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /notifications/threads/:thread_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /notifications/threads/:thread_id"]["response"];
+        };
+        setRepoSubscription: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/subscription"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/subscription"]["response"];
+        };
+        setThreadSubscription: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /notifications/threads/:thread_id/subscription"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /notifications/threads/:thread_id/subscription"]["response"];
+        };
+        starRepoForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /user/starred/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /user/starred/:owner/:repo"]["response"];
+        };
+        unstarRepoForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/starred/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/starred/:owner/:repo"]["response"];
+        };
+    };
+    apps: {
+        addRepoToInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /user/installations/:installation_id/repositories/:repository_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /user/installations/:installation_id/repositories/:repository_id"]["response"];
+        };
+        checkToken: {
+            parameters: RequestParameters & Omit<Endpoints["POST /applications/:client_id/token"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /applications/:client_id/token"]["response"];
+        };
+        createContentAttachment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /content_references/:content_reference_id/attachments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /content_references/:content_reference_id/attachments"]["response"];
+        };
+        createFromManifest: {
+            parameters: RequestParameters & Omit<Endpoints["POST /app-manifests/:code/conversions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /app-manifests/:code/conversions"]["response"];
+        };
+        createInstallationAccessToken: {
+            parameters: RequestParameters & Omit<Endpoints["POST /app/installations/:installation_id/access_tokens"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /app/installations/:installation_id/access_tokens"]["response"];
+        };
+        deleteAuthorization: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /applications/:client_id/grant"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /applications/:client_id/grant"]["response"];
+        };
+        deleteInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /app/installations/:installation_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /app/installations/:installation_id"]["response"];
+        };
+        deleteToken: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /applications/:client_id/token"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /applications/:client_id/token"]["response"];
+        };
+        getAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /app"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /app"]["response"];
+        };
+        getBySlug: {
+            parameters: RequestParameters & Omit<Endpoints["GET /apps/:app_slug"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /apps/:app_slug"]["response"];
+        };
+        getInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["GET /app/installations/:installation_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /app/installations/:installation_id"]["response"];
+        };
+        getOrgInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/installation"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/installation"]["response"];
+        };
+        getRepoInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/installation"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/installation"]["response"];
+        };
+        getSubscriptionPlanForAccount: {
+            parameters: RequestParameters & Omit<Endpoints["GET /marketplace_listing/accounts/:account_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /marketplace_listing/accounts/:account_id"]["response"];
+        };
+        getSubscriptionPlanForAccountStubbed: {
+            parameters: RequestParameters & Omit<Endpoints["GET /marketplace_listing/stubbed/accounts/:account_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /marketplace_listing/stubbed/accounts/:account_id"]["response"];
+        };
+        getUserInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/installation"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/installation"]["response"];
+        };
+        listAccountsForPlan: {
+            parameters: RequestParameters & Omit<Endpoints["GET /marketplace_listing/plans/:plan_id/accounts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /marketplace_listing/plans/:plan_id/accounts"]["response"];
+        };
+        listAccountsForPlanStubbed: {
+            parameters: RequestParameters & Omit<Endpoints["GET /marketplace_listing/stubbed/plans/:plan_id/accounts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /marketplace_listing/stubbed/plans/:plan_id/accounts"]["response"];
+        };
+        listInstallationReposForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/installations/:installation_id/repositories"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/installations/:installation_id/repositories"]["response"];
+        };
+        listInstallations: {
+            parameters: RequestParameters & Omit<Endpoints["GET /app/installations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /app/installations"]["response"];
+        };
+        listInstallationsForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/installations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/installations"]["response"];
+        };
+        listPlans: {
+            parameters: RequestParameters & Omit<Endpoints["GET /marketplace_listing/plans"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /marketplace_listing/plans"]["response"];
+        };
+        listPlansStubbed: {
+            parameters: RequestParameters & Omit<Endpoints["GET /marketplace_listing/stubbed/plans"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /marketplace_listing/stubbed/plans"]["response"];
+        };
+        listReposAccessibleToInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["GET /installation/repositories"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /installation/repositories"]["response"];
+        };
+        listSubscriptionsForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/marketplace_purchases"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/marketplace_purchases"]["response"];
+        };
+        listSubscriptionsForAuthenticatedUserStubbed: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/marketplace_purchases/stubbed"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/marketplace_purchases/stubbed"]["response"];
+        };
+        removeRepoFromInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/installations/:installation_id/repositories/:repository_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/installations/:installation_id/repositories/:repository_id"]["response"];
+        };
+        resetToken: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /applications/:client_id/token"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /applications/:client_id/token"]["response"];
+        };
+        revokeInstallationAccessToken: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /installation/token"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /installation/token"]["response"];
+        };
+        suspendInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /app/installations/:installation_id/suspended"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /app/installations/:installation_id/suspended"]["response"];
+        };
+        unsuspendInstallation: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /app/installations/:installation_id/suspended"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /app/installations/:installation_id/suspended"]["response"];
+        };
+    };
+    billing: {
+        getGithubActionsBillingOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/settings/billing/actions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/settings/billing/actions"]["response"];
+        };
+        getGithubActionsBillingUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/settings/billing/actions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/settings/billing/actions"]["response"];
+        };
+        getGithubPackagesBillingOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/settings/billing/packages"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/settings/billing/packages"]["response"];
+        };
+        getGithubPackagesBillingUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/settings/billing/packages"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/settings/billing/packages"]["response"];
+        };
+        getSharedStorageBillingOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/settings/billing/shared-storage"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/settings/billing/shared-storage"]["response"];
+        };
+        getSharedStorageBillingUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/settings/billing/shared-storage"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/settings/billing/shared-storage"]["response"];
+        };
+    };
+    checks: {
+        create: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/check-runs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/check-runs"]["response"];
+        };
+        createSuite: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/check-suites"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/check-suites"]["response"];
+        };
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/check-runs/:check_run_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/check-runs/:check_run_id"]["response"];
+        };
+        getSuite: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/check-suites/:check_suite_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/check-suites/:check_suite_id"]["response"];
+        };
+        listAnnotations: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/check-runs/:check_run_id/annotations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/check-runs/:check_run_id/annotations"]["response"];
+        };
+        listForRef: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits/:ref/check-runs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits/:ref/check-runs"]["response"];
+        };
+        listForSuite: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/check-suites/:check_suite_id/check-runs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/check-suites/:check_suite_id/check-runs"]["response"];
+        };
+        listSuitesForRef: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits/:ref/check-suites"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits/:ref/check-suites"]["response"];
+        };
+        rerequestSuite: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/check-suites/:check_suite_id/rerequest"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/check-suites/:check_suite_id/rerequest"]["response"];
+        };
+        setSuitesPreferences: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/check-suites/preferences"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/check-suites/preferences"]["response"];
+        };
+        update: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/check-runs/:check_run_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/check-runs/:check_run_id"]["response"];
+        };
+    };
+    codeScanning: {
+        getAlert: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/code-scanning/alerts/:alert_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/code-scanning/alerts/:alert_id"]["response"];
+        };
+        listAlertsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/code-scanning/alerts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/code-scanning/alerts"]["response"];
+        };
+    };
+    codesOfConduct: {
+        getAllCodesOfConduct: {
+            parameters: RequestParameters & Omit<Endpoints["GET /codes_of_conduct"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /codes_of_conduct"]["response"];
+        };
+        getConductCode: {
+            parameters: RequestParameters & Omit<Endpoints["GET /codes_of_conduct/:key"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /codes_of_conduct/:key"]["response"];
+        };
+        getForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/community/code_of_conduct"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/community/code_of_conduct"]["response"];
+        };
+    };
+    emojis: {
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /emojis"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /emojis"]["response"];
+        };
+    };
+    gists: {
+        checkIsStarred: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/:gist_id/star"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/:gist_id/star"]["response"];
+        };
+        create: {
+            parameters: RequestParameters & Omit<Endpoints["POST /gists"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /gists"]["response"];
+        };
+        createComment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /gists/:gist_id/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /gists/:gist_id/comments"]["response"];
+        };
+        delete: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /gists/:gist_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /gists/:gist_id"]["response"];
+        };
+        deleteComment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /gists/:gist_id/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /gists/:gist_id/comments/:comment_id"]["response"];
+        };
+        fork: {
+            parameters: RequestParameters & Omit<Endpoints["POST /gists/:gist_id/forks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /gists/:gist_id/forks"]["response"];
+        };
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/:gist_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/:gist_id"]["response"];
+        };
+        getComment: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/:gist_id/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/:gist_id/comments/:comment_id"]["response"];
+        };
+        getRevision: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/:gist_id/:sha"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/:gist_id/:sha"]["response"];
+        };
+        list: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists"]["response"];
+        };
+        listComments: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/:gist_id/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/:gist_id/comments"]["response"];
+        };
+        listCommits: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/:gist_id/commits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/:gist_id/commits"]["response"];
+        };
+        listForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/gists"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/gists"]["response"];
+        };
+        listForks: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/:gist_id/forks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/:gist_id/forks"]["response"];
+        };
+        listPublic: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/public"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/public"]["response"];
+        };
+        listStarred: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gists/starred"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gists/starred"]["response"];
+        };
+        star: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /gists/:gist_id/star"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /gists/:gist_id/star"]["response"];
+        };
+        unstar: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /gists/:gist_id/star"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /gists/:gist_id/star"]["response"];
+        };
+        update: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /gists/:gist_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /gists/:gist_id"]["response"];
+        };
+        updateComment: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /gists/:gist_id/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /gists/:gist_id/comments/:comment_id"]["response"];
+        };
+    };
+    git: {
+        createBlob: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/git/blobs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/git/blobs"]["response"];
+        };
+        createCommit: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/git/commits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/git/commits"]["response"];
+        };
+        createRef: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/git/refs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/git/refs"]["response"];
+        };
+        createTag: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/git/tags"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/git/tags"]["response"];
+        };
+        createTree: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/git/trees"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/git/trees"]["response"];
+        };
+        deleteRef: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/git/refs/:ref"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/git/refs/:ref"]["response"];
+        };
+        getBlob: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/git/blobs/:file_sha"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/git/blobs/:file_sha"]["response"];
+        };
+        getCommit: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/git/commits/:commit_sha"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/git/commits/:commit_sha"]["response"];
+        };
+        getRef: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/git/ref/:ref"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/git/ref/:ref"]["response"];
+        };
+        getTag: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/git/tags/:tag_sha"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/git/tags/:tag_sha"]["response"];
+        };
+        getTree: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/git/trees/:tree_sha"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/git/trees/:tree_sha"]["response"];
+        };
+        listMatchingRefs: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/git/matching-refs/:ref"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/git/matching-refs/:ref"]["response"];
+        };
+        updateRef: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/git/refs/:ref"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/git/refs/:ref"]["response"];
+        };
+    };
+    gitignore: {
+        getAllTemplates: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gitignore/templates"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gitignore/templates"]["response"];
+        };
+        getTemplate: {
+            parameters: RequestParameters & Omit<Endpoints["GET /gitignore/templates/:name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /gitignore/templates/:name"]["response"];
+        };
+    };
+    interactions: {
+        getRestrictionsForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/interaction-limits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/interaction-limits"]["response"];
+        };
+        getRestrictionsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/interaction-limits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/interaction-limits"]["response"];
+        };
+        removeRestrictionsForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/interaction-limits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/interaction-limits"]["response"];
+        };
+        removeRestrictionsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/interaction-limits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/interaction-limits"]["response"];
+        };
+        setRestrictionsForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/interaction-limits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/interaction-limits"]["response"];
+        };
+        setRestrictionsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/interaction-limits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/interaction-limits"]["response"];
+        };
+    };
+    issues: {
+        addAssignees: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/issues/:issue_number/assignees"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/issues/:issue_number/assignees"]["response"];
+        };
+        addLabels: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/issues/:issue_number/labels"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/issues/:issue_number/labels"]["response"];
+        };
+        checkUserCanBeAssigned: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/assignees/:assignee"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/assignees/:assignee"]["response"];
+        };
+        create: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/issues"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/issues"]["response"];
+        };
+        createComment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/issues/:issue_number/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/issues/:issue_number/comments"]["response"];
+        };
+        createLabel: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/labels"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/labels"]["response"];
+        };
+        createMilestone: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/milestones"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/milestones"]["response"];
+        };
+        deleteComment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/issues/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/issues/comments/:comment_id"]["response"];
+        };
+        deleteLabel: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/labels/:name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/labels/:name"]["response"];
+        };
+        deleteMilestone: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/milestones/:milestone_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/milestones/:milestone_number"]["response"];
+        };
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/:issue_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number"]["response"];
+        };
+        getComment: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/comments/:comment_id"]["response"];
+        };
+        getEvent: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/events/:event_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/events/:event_id"]["response"];
+        };
+        getLabel: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/labels/:name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/labels/:name"]["response"];
+        };
+        getMilestone: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/milestones/:milestone_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/milestones/:milestone_number"]["response"];
+        };
+        list: {
+            parameters: RequestParameters & Omit<Endpoints["GET /issues"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /issues"]["response"];
+        };
+        listAssignees: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/assignees"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/assignees"]["response"];
+        };
+        listComments: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/:issue_number/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/comments"]["response"];
+        };
+        listCommentsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/comments"]["response"];
+        };
+        listEvents: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/:issue_number/events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/events"]["response"];
+        };
+        listEventsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/events"]["response"];
+        };
+        listEventsForTimeline: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/:issue_number/timeline"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/timeline"]["response"];
+        };
+        listForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/issues"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/issues"]["response"];
+        };
+        listForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/issues"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/issues"]["response"];
+        };
+        listForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues"]["response"];
+        };
+        listLabelsForMilestone: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/milestones/:milestone_number/labels"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/milestones/:milestone_number/labels"]["response"];
+        };
+        listLabelsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/labels"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/labels"]["response"];
+        };
+        listLabelsOnIssue: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/:issue_number/labels"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/labels"]["response"];
+        };
+        listMilestones: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/milestones"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/milestones"]["response"];
+        };
+        lock: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/issues/:issue_number/lock"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/issues/:issue_number/lock"]["response"];
+        };
+        removeAllLabels: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/labels"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/labels"]["response"];
+        };
+        removeAssignees: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/assignees"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/assignees"]["response"];
+        };
+        removeLabel: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/labels/:name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/labels/:name"]["response"];
+        };
+        setLabels: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/issues/:issue_number/labels"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/issues/:issue_number/labels"]["response"];
+        };
+        unlock: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/lock"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/lock"]["response"];
+        };
+        update: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/issues/:issue_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/issues/:issue_number"]["response"];
+        };
+        updateComment: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/issues/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/issues/comments/:comment_id"]["response"];
+        };
+        updateLabel: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/labels/:name"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/labels/:name"]["response"];
+        };
+        updateMilestone: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/milestones/:milestone_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/milestones/:milestone_number"]["response"];
+        };
+    };
+    licenses: {
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /licenses/:license"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /licenses/:license"]["response"];
+        };
+        getAllCommonlyUsed: {
+            parameters: RequestParameters & Omit<Endpoints["GET /licenses"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /licenses"]["response"];
+        };
+        getForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/license"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/license"]["response"];
+        };
+    };
+    markdown: {
+        render: {
+            parameters: RequestParameters & Omit<Endpoints["POST /markdown"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /markdown"]["response"];
+        };
+        renderRaw: {
+            parameters: RequestParameters & Omit<Endpoints["POST /markdown/raw"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /markdown/raw"]["response"];
+        };
+    };
+    meta: {
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /meta"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /meta"]["response"];
+        };
+    };
+    migrations: {
+        cancelImport: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/import"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/import"]["response"];
+        };
+        deleteArchiveForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/migrations/:migration_id/archive"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/migrations/:migration_id/archive"]["response"];
+        };
+        deleteArchiveForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/migrations/:migration_id/archive"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/migrations/:migration_id/archive"]["response"];
+        };
+        downloadArchiveForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/migrations/:migration_id/archive"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/migrations/:migration_id/archive"]["response"];
+        };
+        getArchiveForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/migrations/:migration_id/archive"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/migrations/:migration_id/archive"]["response"];
+        };
+        getCommitAuthors: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/import/authors"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/import/authors"]["response"];
+        };
+        getImportStatus: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/import"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/import"]["response"];
+        };
+        getLargeFiles: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/import/large_files"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/import/large_files"]["response"];
+        };
+        getStatusForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/migrations/:migration_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/migrations/:migration_id"]["response"];
+        };
+        getStatusForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/migrations/:migration_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/migrations/:migration_id"]["response"];
+        };
+        listForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/migrations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/migrations"]["response"];
+        };
+        listForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/migrations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/migrations"]["response"];
+        };
+        listReposForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/migrations/:migration_id/repositories"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/migrations/:migration_id/repositories"]["response"];
+        };
+        listReposForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/migrations/:migration_id/repositories"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/migrations/:migration_id/repositories"]["response"];
+        };
+        mapCommitAuthor: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/import/authors/:author_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/import/authors/:author_id"]["response"];
+        };
+        setLfsPreference: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/import/lfs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/import/lfs"]["response"];
+        };
+        startForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["POST /user/migrations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /user/migrations"]["response"];
+        };
+        startForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/migrations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/migrations"]["response"];
+        };
+        startImport: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/import"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/import"]["response"];
+        };
+        unlockRepoForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/migrations/:migration_id/repos/:repo_name/lock"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/migrations/:migration_id/repos/:repo_name/lock"]["response"];
+        };
+        unlockRepoForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/migrations/:migration_id/repos/:repo_name/lock"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/migrations/:migration_id/repos/:repo_name/lock"]["response"];
+        };
+        updateImport: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/import"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/import"]["response"];
+        };
+    };
+    orgs: {
+        blockUser: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/blocks/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/blocks/:username"]["response"];
+        };
+        checkBlockedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/blocks/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/blocks/:username"]["response"];
+        };
+        checkMembershipForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/members/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/members/:username"]["response"];
+        };
+        checkPublicMembershipForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/public_members/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/public_members/:username"]["response"];
+        };
+        convertMemberToOutsideCollaborator: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/outside_collaborators/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/outside_collaborators/:username"]["response"];
+        };
+        createInvitation: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/invitations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/invitations"]["response"];
+        };
+        createWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/hooks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/hooks"]["response"];
+        };
+        deleteWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/hooks/:hook_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/hooks/:hook_id"]["response"];
+        };
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org"]["response"];
+        };
+        getMembershipForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/memberships/orgs/:org"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/memberships/orgs/:org"]["response"];
+        };
+        getMembershipForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/memberships/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/memberships/:username"]["response"];
+        };
+        getWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/hooks/:hook_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/hooks/:hook_id"]["response"];
+        };
+        list: {
+            parameters: RequestParameters & Omit<Endpoints["GET /organizations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /organizations"]["response"];
+        };
+        listAppInstallations: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/installations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/installations"]["response"];
+        };
+        listBlockedUsers: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/blocks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/blocks"]["response"];
+        };
+        listForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/orgs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/orgs"]["response"];
+        };
+        listForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/orgs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/orgs"]["response"];
+        };
+        listInvitationTeams: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/invitations/:invitation_id/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/invitations/:invitation_id/teams"]["response"];
+        };
+        listMembers: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/members"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/members"]["response"];
+        };
+        listMembershipsForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/memberships/orgs"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/memberships/orgs"]["response"];
+        };
+        listOutsideCollaborators: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/outside_collaborators"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/outside_collaborators"]["response"];
+        };
+        listPendingInvitations: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/invitations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/invitations"]["response"];
+        };
+        listPublicMembers: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/public_members"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/public_members"]["response"];
+        };
+        listWebhooks: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/hooks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/hooks"]["response"];
+        };
+        pingWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/hooks/:hook_id/pings"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/hooks/:hook_id/pings"]["response"];
+        };
+        removeMember: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/members/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/members/:username"]["response"];
+        };
+        removeMembershipForUser: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/memberships/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/memberships/:username"]["response"];
+        };
+        removeOutsideCollaborator: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/outside_collaborators/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/outside_collaborators/:username"]["response"];
+        };
+        removePublicMembershipForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/public_members/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/public_members/:username"]["response"];
+        };
+        setMembershipForUser: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/memberships/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/memberships/:username"]["response"];
+        };
+        setPublicMembershipForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/public_members/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/public_members/:username"]["response"];
+        };
+        unblockUser: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/blocks/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/blocks/:username"]["response"];
+        };
+        update: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /orgs/:org"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /orgs/:org"]["response"];
+        };
+        updateMembershipForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /user/memberships/orgs/:org"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /user/memberships/orgs/:org"]["response"];
+        };
+        updateWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /orgs/:org/hooks/:hook_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /orgs/:org/hooks/:hook_id"]["response"];
+        };
+    };
+    projects: {
+        addCollaborator: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /projects/:project_id/collaborators/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /projects/:project_id/collaborators/:username"]["response"];
+        };
+        createCard: {
+            parameters: RequestParameters & Omit<Endpoints["POST /projects/columns/:column_id/cards"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /projects/columns/:column_id/cards"]["response"];
+        };
+        createColumn: {
+            parameters: RequestParameters & Omit<Endpoints["POST /projects/:project_id/columns"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /projects/:project_id/columns"]["response"];
+        };
+        createForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["POST /user/projects"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /user/projects"]["response"];
+        };
+        createForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/projects"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/projects"]["response"];
+        };
+        createForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/projects"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/projects"]["response"];
+        };
+        delete: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /projects/:project_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /projects/:project_id"]["response"];
+        };
+        deleteCard: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /projects/columns/cards/:card_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /projects/columns/cards/:card_id"]["response"];
+        };
+        deleteColumn: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /projects/columns/:column_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /projects/columns/:column_id"]["response"];
+        };
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /projects/:project_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /projects/:project_id"]["response"];
+        };
+        getCard: {
+            parameters: RequestParameters & Omit<Endpoints["GET /projects/columns/cards/:card_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /projects/columns/cards/:card_id"]["response"];
+        };
+        getColumn: {
+            parameters: RequestParameters & Omit<Endpoints["GET /projects/columns/:column_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /projects/columns/:column_id"]["response"];
+        };
+        getPermissionForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /projects/:project_id/collaborators/:username/permission"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /projects/:project_id/collaborators/:username/permission"]["response"];
+        };
+        listCards: {
+            parameters: RequestParameters & Omit<Endpoints["GET /projects/columns/:column_id/cards"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /projects/columns/:column_id/cards"]["response"];
+        };
+        listCollaborators: {
+            parameters: RequestParameters & Omit<Endpoints["GET /projects/:project_id/collaborators"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /projects/:project_id/collaborators"]["response"];
+        };
+        listColumns: {
+            parameters: RequestParameters & Omit<Endpoints["GET /projects/:project_id/columns"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /projects/:project_id/columns"]["response"];
+        };
+        listForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/projects"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/projects"]["response"];
+        };
+        listForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/projects"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/projects"]["response"];
+        };
+        listForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/projects"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/projects"]["response"];
+        };
+        moveCard: {
+            parameters: RequestParameters & Omit<Endpoints["POST /projects/columns/cards/:card_id/moves"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /projects/columns/cards/:card_id/moves"]["response"];
+        };
+        moveColumn: {
+            parameters: RequestParameters & Omit<Endpoints["POST /projects/columns/:column_id/moves"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /projects/columns/:column_id/moves"]["response"];
+        };
+        removeCollaborator: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /projects/:project_id/collaborators/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /projects/:project_id/collaborators/:username"]["response"];
+        };
+        update: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /projects/:project_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /projects/:project_id"]["response"];
+        };
+        updateCard: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /projects/columns/cards/:card_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /projects/columns/cards/:card_id"]["response"];
+        };
+        updateColumn: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /projects/columns/:column_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /projects/columns/:column_id"]["response"];
+        };
+    };
+    pulls: {
+        checkIfMerged: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/merge"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/merge"]["response"];
+        };
+        create: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pulls"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pulls"]["response"];
+        };
+        createReplyForReviewComment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies"]["response"];
+        };
+        createReview: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/reviews"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/reviews"]["response"];
+        };
+        createReviewComment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/comments"]["response"];
+        };
+        deletePendingReview: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"]["response"];
+        };
+        deleteReviewComment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/pulls/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/pulls/comments/:comment_id"]["response"];
+        };
+        dismissReview: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals"]["response"];
+        };
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number"]["response"];
+        };
+        getReview: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"]["response"];
+        };
+        getReviewComment: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/comments/:comment_id"]["response"];
+        };
+        list: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls"]["response"];
+        };
+        listCommentsForReview: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments"]["response"];
+        };
+        listCommits: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/commits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/commits"]["response"];
+        };
+        listFiles: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/files"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/files"]["response"];
+        };
+        listRequestedReviewers: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["response"];
+        };
+        listReviewComments: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/comments"]["response"];
+        };
+        listReviewCommentsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/comments"]["response"];
+        };
+        listReviews: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/:pull_number/reviews"]["response"];
+        };
+        merge: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/pulls/:pull_number/merge"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/pulls/:pull_number/merge"]["response"];
+        };
+        removeRequestedReviewers: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["response"];
+        };
+        requestReviewers: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/requested_reviewers"]["response"];
+        };
+        submitReview: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events"]["response"];
+        };
+        update: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/pulls/:pull_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/pulls/:pull_number"]["response"];
+        };
+        updateBranch: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/pulls/:pull_number/update-branch"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/pulls/:pull_number/update-branch"]["response"];
+        };
+        updateReview: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"]["response"];
+        };
+        updateReviewComment: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/pulls/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/pulls/comments/:comment_id"]["response"];
+        };
+    };
+    rateLimit: {
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /rate_limit"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /rate_limit"]["response"];
+        };
+    };
+    reactions: {
+        createForCommitComment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/comments/:comment_id/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/comments/:comment_id/reactions"]["response"];
+        };
+        createForIssue: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/issues/:issue_number/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/issues/:issue_number/reactions"]["response"];
+        };
+        createForIssueComment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/issues/comments/:comment_id/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/issues/comments/:comment_id/reactions"]["response"];
+        };
+        createForPullRequestReviewComment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pulls/comments/:comment_id/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pulls/comments/:comment_id/reactions"]["response"];
+        };
+        createForTeamDiscussionCommentInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"]["response"];
+        };
+        createForTeamDiscussionInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"]["response"];
+        };
+        deleteForCommitComment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/comments/:comment_id/reactions/:reaction_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/comments/:comment_id/reactions/:reaction_id"]["response"];
+        };
+        deleteForIssue: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/reactions/:reaction_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/issues/:issue_number/reactions/:reaction_id"]["response"];
+        };
+        deleteForIssueComment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/issues/comments/:comment_id/reactions/:reaction_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/issues/comments/:comment_id/reactions/:reaction_id"]["response"];
+        };
+        deleteForPullRequestComment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/pulls/comments/:comment_id/reactions/:reaction_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/pulls/comments/:comment_id/reactions/:reaction_id"]["response"];
+        };
+        deleteForTeamDiscussion: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions/:reaction_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions/:reaction_id"]["response"];
+        };
+        deleteForTeamDiscussionComment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions/:reaction_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions/:reaction_id"]["response"];
+        };
+        deleteLegacy: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /reactions/:reaction_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /reactions/:reaction_id"]["response"];
+        };
+        listForCommitComment: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/comments/:comment_id/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/comments/:comment_id/reactions"]["response"];
+        };
+        listForIssue: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/:issue_number/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/:issue_number/reactions"]["response"];
+        };
+        listForIssueComment: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/issues/comments/:comment_id/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/issues/comments/:comment_id/reactions"]["response"];
+        };
+        listForPullRequestReviewComment: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pulls/comments/:comment_id/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pulls/comments/:comment_id/reactions"]["response"];
+        };
+        listForTeamDiscussionCommentInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"]["response"];
+        };
+        listForTeamDiscussionInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"]["response"];
+        };
+    };
+    repos: {
+        acceptInvitation: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /user/repository_invitations/:invitation_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /user/repository_invitations/:invitation_id"]["response"];
+        };
+        addAppAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/restrictions/apps"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/restrictions/apps"]["response"];
+        };
+        addCollaborator: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/collaborators/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/collaborators/:username"]["response"];
+        };
+        addStatusCheckContexts: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"]["response"];
+        };
+        addTeamAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/restrictions/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/restrictions/teams"]["response"];
+        };
+        addUserAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/restrictions/users"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/restrictions/users"]["response"];
+        };
+        checkCollaborator: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/collaborators/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/collaborators/:username"]["response"];
+        };
+        checkVulnerabilityAlerts: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/vulnerability-alerts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/vulnerability-alerts"]["response"];
+        };
+        compareCommits: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/compare/:base...:head"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/compare/:base...:head"]["response"];
+        };
+        createCommitComment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/commits/:commit_sha/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/commits/:commit_sha/comments"]["response"];
+        };
+        createCommitSignatureProtection: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/required_signatures"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/required_signatures"]["response"];
+        };
+        createCommitStatus: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/statuses/:sha"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/statuses/:sha"]["response"];
+        };
+        createDeployKey: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/keys"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/keys"]["response"];
+        };
+        createDeployment: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/deployments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/deployments"]["response"];
+        };
+        createDeploymentStatus: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/deployments/:deployment_id/statuses"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/deployments/:deployment_id/statuses"]["response"];
+        };
+        createDispatchEvent: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/dispatches"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/dispatches"]["response"];
+        };
+        createForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["POST /user/repos"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /user/repos"]["response"];
+        };
+        createFork: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/forks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/forks"]["response"];
+        };
+        createInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/repos"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/repos"]["response"];
+        };
+        createOrUpdateFileContents: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/contents/:path"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/contents/:path"]["response"];
+        };
+        createPagesSite: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pages"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pages"]["response"];
+        };
+        createRelease: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/releases"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/releases"]["response"];
+        };
+        createUsingTemplate: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:template_owner/:template_repo/generate"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:template_owner/:template_repo/generate"]["response"];
+        };
+        createWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/hooks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/hooks"]["response"];
+        };
+        declineInvitation: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/repository_invitations/:invitation_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/repository_invitations/:invitation_id"]["response"];
+        };
+        delete: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo"]["response"];
+        };
+        deleteAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions"]["response"];
+        };
+        deleteAdminBranchProtection: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/enforce_admins"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/enforce_admins"]["response"];
+        };
+        deleteBranchProtection: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection"]["response"];
+        };
+        deleteCommitComment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/comments/:comment_id"]["response"];
+        };
+        deleteCommitSignatureProtection: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/required_signatures"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/required_signatures"]["response"];
+        };
+        deleteDeployKey: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/keys/:key_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/keys/:key_id"]["response"];
+        };
+        deleteDeployment: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/deployments/:deployment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/deployments/:deployment_id"]["response"];
+        };
+        deleteFile: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/contents/:path"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/contents/:path"]["response"];
+        };
+        deleteInvitation: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/invitations/:invitation_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/invitations/:invitation_id"]["response"];
+        };
+        deletePagesSite: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/pages"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/pages"]["response"];
+        };
+        deletePullRequestReviewProtection: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"]["response"];
+        };
+        deleteRelease: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/releases/:release_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/releases/:release_id"]["response"];
+        };
+        deleteReleaseAsset: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/releases/assets/:asset_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/releases/assets/:asset_id"]["response"];
+        };
+        deleteWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/hooks/:hook_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/hooks/:hook_id"]["response"];
+        };
+        disableAutomatedSecurityFixes: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/automated-security-fixes"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/automated-security-fixes"]["response"];
+        };
+        disableVulnerabilityAlerts: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/vulnerability-alerts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/vulnerability-alerts"]["response"];
+        };
+        downloadArchive: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/:archive_format/:ref"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/:archive_format/:ref"]["response"];
+        };
+        enableAutomatedSecurityFixes: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/automated-security-fixes"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/automated-security-fixes"]["response"];
+        };
+        enableVulnerabilityAlerts: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/vulnerability-alerts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/vulnerability-alerts"]["response"];
+        };
+        get: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo"]["response"];
+        };
+        getAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/restrictions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/restrictions"]["response"];
+        };
+        getAdminBranchProtection: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/enforce_admins"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/enforce_admins"]["response"];
+        };
+        getAllStatusCheckContexts: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"]["response"];
+        };
+        getAllTopics: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/topics"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/topics"]["response"];
+        };
+        getAppsWithAccessToProtectedBranch: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/restrictions/apps"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/restrictions/apps"]["response"];
+        };
+        getBranch: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch"]["response"];
+        };
+        getBranchProtection: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection"]["response"];
+        };
+        getClones: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/traffic/clones"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/traffic/clones"]["response"];
+        };
+        getCodeFrequencyStats: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/stats/code_frequency"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/stats/code_frequency"]["response"];
+        };
+        getCollaboratorPermissionLevel: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/collaborators/:username/permission"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/collaborators/:username/permission"]["response"];
+        };
+        getCombinedStatusForRef: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits/:ref/status"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits/:ref/status"]["response"];
+        };
+        getCommit: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits/:ref"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits/:ref"]["response"];
+        };
+        getCommitActivityStats: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/stats/commit_activity"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/stats/commit_activity"]["response"];
+        };
+        getCommitComment: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/comments/:comment_id"]["response"];
+        };
+        getCommitSignatureProtection: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/required_signatures"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/required_signatures"]["response"];
+        };
+        getCommunityProfileMetrics: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/community/profile"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/community/profile"]["response"];
+        };
+        getContent: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/contents/:path"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/contents/:path"]["response"];
+        };
+        getContributorsStats: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/stats/contributors"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/stats/contributors"]["response"];
+        };
+        getDeployKey: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/keys/:key_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/keys/:key_id"]["response"];
+        };
+        getDeployment: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/deployments/:deployment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/deployments/:deployment_id"]["response"];
+        };
+        getDeploymentStatus: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id"]["response"];
+        };
+        getLatestPagesBuild: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pages/builds/latest"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pages/builds/latest"]["response"];
+        };
+        getLatestRelease: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/releases/latest"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/releases/latest"]["response"];
+        };
+        getPages: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pages"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pages"]["response"];
+        };
+        getPagesBuild: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pages/builds/:build_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pages/builds/:build_id"]["response"];
+        };
+        getParticipationStats: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/stats/participation"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/stats/participation"]["response"];
+        };
+        getPullRequestReviewProtection: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"]["response"];
+        };
+        getPunchCardStats: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/stats/punch_card"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/stats/punch_card"]["response"];
+        };
+        getReadme: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/readme"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/readme"]["response"];
+        };
+        getRelease: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/releases/:release_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/releases/:release_id"]["response"];
+        };
+        getReleaseAsset: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/releases/assets/:asset_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/releases/assets/:asset_id"]["response"];
+        };
+        getReleaseByTag: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/releases/tags/:tag"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/releases/tags/:tag"]["response"];
+        };
+        getStatusChecksProtection: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/required_status_checks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/required_status_checks"]["response"];
+        };
+        getTeamsWithAccessToProtectedBranch: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/restrictions/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/restrictions/teams"]["response"];
+        };
+        getTopPaths: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/traffic/popular/paths"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/traffic/popular/paths"]["response"];
+        };
+        getTopReferrers: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/traffic/popular/referrers"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/traffic/popular/referrers"]["response"];
+        };
+        getUsersWithAccessToProtectedBranch: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/restrictions/users"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches/:branch/protection/restrictions/users"]["response"];
+        };
+        getViews: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/traffic/views"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/traffic/views"]["response"];
+        };
+        getWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/hooks/:hook_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/hooks/:hook_id"]["response"];
+        };
+        listBranches: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/branches"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/branches"]["response"];
+        };
+        listBranchesForHeadCommit: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/branches-where-head"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/branches-where-head"]["response"];
+        };
+        listCollaborators: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/collaborators"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/collaborators"]["response"];
+        };
+        listCommentsForCommit: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/comments"]["response"];
+        };
+        listCommitCommentsForRepo: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/comments"]["response"];
+        };
+        listCommitStatusesForRef: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits/:ref/statuses"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits/:ref/statuses"]["response"];
+        };
+        listCommits: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits"]["response"];
+        };
+        listContributors: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/contributors"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/contributors"]["response"];
+        };
+        listDeployKeys: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/keys"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/keys"]["response"];
+        };
+        listDeploymentStatuses: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/deployments/:deployment_id/statuses"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/deployments/:deployment_id/statuses"]["response"];
+        };
+        listDeployments: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/deployments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/deployments"]["response"];
+        };
+        listForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/repos"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/repos"]["response"];
+        };
+        listForOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/repos"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/repos"]["response"];
+        };
+        listForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/repos"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/repos"]["response"];
+        };
+        listForks: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/forks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/forks"]["response"];
+        };
+        listInvitations: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/invitations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/invitations"]["response"];
+        };
+        listInvitationsForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/repository_invitations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/repository_invitations"]["response"];
+        };
+        listLanguages: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/languages"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/languages"]["response"];
+        };
+        listPagesBuilds: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/pages/builds"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/pages/builds"]["response"];
+        };
+        listPublic: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repositories"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repositories"]["response"];
+        };
+        listPullRequestsAssociatedWithCommit: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/pulls"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/commits/:commit_sha/pulls"]["response"];
+        };
+        listReleaseAssets: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/releases/:release_id/assets"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/releases/:release_id/assets"]["response"];
+        };
+        listReleases: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/releases"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/releases"]["response"];
+        };
+        listTags: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/tags"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/tags"]["response"];
+        };
+        listTeams: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/teams"]["response"];
+        };
+        listWebhooks: {
+            parameters: RequestParameters & Omit<Endpoints["GET /repos/:owner/:repo/hooks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /repos/:owner/:repo/hooks"]["response"];
+        };
+        merge: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/merges"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/merges"]["response"];
+        };
+        pingWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/hooks/:hook_id/pings"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/hooks/:hook_id/pings"]["response"];
+        };
+        removeAppAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/apps"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/apps"]["response"];
+        };
+        removeCollaborator: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/collaborators/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/collaborators/:username"]["response"];
+        };
+        removeStatusCheckContexts: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"]["response"];
+        };
+        removeStatusCheckProtection: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/required_status_checks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/required_status_checks"]["response"];
+        };
+        removeTeamAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/teams"]["response"];
+        };
+        removeUserAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/users"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/users"]["response"];
+        };
+        replaceAllTopics: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/topics"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/topics"]["response"];
+        };
+        requestPagesBuild: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/pages/builds"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/pages/builds"]["response"];
+        };
+        setAdminBranchProtection: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/enforce_admins"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/branches/:branch/protection/enforce_admins"]["response"];
+        };
+        setAppAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/apps"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/apps"]["response"];
+        };
+        setStatusCheckContexts: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"]["response"];
+        };
+        setTeamAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/teams"]["response"];
+        };
+        setUserAccessRestrictions: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/users"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/users"]["response"];
+        };
+        testPushWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/hooks/:hook_id/tests"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/hooks/:hook_id/tests"]["response"];
+        };
+        transfer: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/transfer"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/transfer"]["response"];
+        };
+        update: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo"]["response"];
+        };
+        updateBranchProtection: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/branches/:branch/protection"]["response"];
+        };
+        updateCommitComment: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/comments/:comment_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/comments/:comment_id"]["response"];
+        };
+        updateInformationAboutPagesSite: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /repos/:owner/:repo/pages"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /repos/:owner/:repo/pages"]["response"];
+        };
+        updateInvitation: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/invitations/:invitation_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/invitations/:invitation_id"]["response"];
+        };
+        updatePullRequestReviewProtection: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"]["response"];
+        };
+        updateRelease: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/releases/:release_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/releases/:release_id"]["response"];
+        };
+        updateReleaseAsset: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/releases/assets/:asset_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/releases/assets/:asset_id"]["response"];
+        };
+        updateStatusCheckPotection: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/branches/:branch/protection/required_status_checks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/branches/:branch/protection/required_status_checks"]["response"];
+        };
+        updateWebhook: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /repos/:owner/:repo/hooks/:hook_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /repos/:owner/:repo/hooks/:hook_id"]["response"];
+        };
+        uploadReleaseAsset: {
+            parameters: RequestParameters & Omit<Endpoints["POST /repos/:owner/:repo/releases/:release_id/assets{?name,label}"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /repos/:owner/:repo/releases/:release_id/assets{?name,label}"]["response"];
+        };
+    };
+    search: {
+        code: {
+            parameters: RequestParameters & Omit<Endpoints["GET /search/code"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /search/code"]["response"];
+        };
+        commits: {
+            parameters: RequestParameters & Omit<Endpoints["GET /search/commits"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /search/commits"]["response"];
+        };
+        issuesAndPullRequests: {
+            parameters: RequestParameters & Omit<Endpoints["GET /search/issues"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /search/issues"]["response"];
+        };
+        labels: {
+            parameters: RequestParameters & Omit<Endpoints["GET /search/labels"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /search/labels"]["response"];
+        };
+        repos: {
+            parameters: RequestParameters & Omit<Endpoints["GET /search/repositories"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /search/repositories"]["response"];
+        };
+        topics: {
+            parameters: RequestParameters & Omit<Endpoints["GET /search/topics"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /search/topics"]["response"];
+        };
+        users: {
+            parameters: RequestParameters & Omit<Endpoints["GET /search/users"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /search/users"]["response"];
+        };
+    };
+    teams: {
+        addOrUpdateMembershipForUserInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/teams/:team_slug/memberships/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/teams/:team_slug/memberships/:username"]["response"];
+        };
+        addOrUpdateProjectPermissionsInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/teams/:team_slug/projects/:project_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/teams/:team_slug/projects/:project_id"]["response"];
+        };
+        addOrUpdateRepoPermissionsInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /orgs/:org/teams/:team_slug/repos/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /orgs/:org/teams/:team_slug/repos/:owner/:repo"]["response"];
+        };
+        checkPermissionsForProjectInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/projects/:project_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/projects/:project_id"]["response"];
+        };
+        checkPermissionsForRepoInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/repos/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/repos/:owner/:repo"]["response"];
+        };
+        create: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/teams"]["response"];
+        };
+        createDiscussionCommentInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"]["response"];
+        };
+        createDiscussionInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["POST /orgs/:org/teams/:team_slug/discussions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /orgs/:org/teams/:team_slug/discussions"]["response"];
+        };
+        deleteDiscussionCommentInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"]["response"];
+        };
+        deleteDiscussionInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number"]["response"];
+        };
+        deleteInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/teams/:team_slug"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/teams/:team_slug"]["response"];
+        };
+        getByName: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug"]["response"];
+        };
+        getDiscussionCommentInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"]["response"];
+        };
+        getDiscussionInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number"]["response"];
+        };
+        getMembershipForUserInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/memberships/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/memberships/:username"]["response"];
+        };
+        list: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams"]["response"];
+        };
+        listChildInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/teams"]["response"];
+        };
+        listDiscussionCommentsInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"]["response"];
+        };
+        listDiscussionsInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/discussions"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/discussions"]["response"];
+        };
+        listForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/teams"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/teams"]["response"];
+        };
+        listMembersInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/members"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/members"]["response"];
+        };
+        listPendingInvitationsInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/invitations"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/invitations"]["response"];
+        };
+        listProjectsInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/projects"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/projects"]["response"];
+        };
+        listReposInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["GET /orgs/:org/teams/:team_slug/repos"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /orgs/:org/teams/:team_slug/repos"]["response"];
+        };
+        removeMembershipForUserInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/teams/:team_slug/memberships/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/teams/:team_slug/memberships/:username"]["response"];
+        };
+        removeProjectInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/teams/:team_slug/projects/:project_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/teams/:team_slug/projects/:project_id"]["response"];
+        };
+        removeRepoInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /orgs/:org/teams/:team_slug/repos/:owner/:repo"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /orgs/:org/teams/:team_slug/repos/:owner/:repo"]["response"];
+        };
+        updateDiscussionCommentInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"]["response"];
+        };
+        updateDiscussionInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /orgs/:org/teams/:team_slug/discussions/:discussion_number"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /orgs/:org/teams/:team_slug/discussions/:discussion_number"]["response"];
+        };
+        updateInOrg: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /orgs/:org/teams/:team_slug"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /orgs/:org/teams/:team_slug"]["response"];
+        };
+    };
+    users: {
+        addEmailForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["POST /user/emails"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /user/emails"]["response"];
+        };
+        block: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /user/blocks/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /user/blocks/:username"]["response"];
+        };
+        checkBlocked: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/blocks/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/blocks/:username"]["response"];
+        };
+        checkFollowingForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/following/:target_user"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/following/:target_user"]["response"];
+        };
+        checkPersonIsFollowedByAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/following/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/following/:username"]["response"];
+        };
+        createGpgKeyForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["POST /user/gpg_keys"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /user/gpg_keys"]["response"];
+        };
+        createPublicSshKeyForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["POST /user/keys"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["POST /user/keys"]["response"];
+        };
+        deleteEmailForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/emails"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/emails"]["response"];
+        };
+        deleteGpgKeyForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/gpg_keys/:gpg_key_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/gpg_keys/:gpg_key_id"]["response"];
+        };
+        deletePublicSshKeyForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/keys/:key_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/keys/:key_id"]["response"];
+        };
+        follow: {
+            parameters: RequestParameters & Omit<Endpoints["PUT /user/following/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PUT /user/following/:username"]["response"];
+        };
+        getAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user"]["response"];
+        };
+        getByUsername: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username"]["response"];
+        };
+        getContextForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/hovercard"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/hovercard"]["response"];
+        };
+        getGpgKeyForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/gpg_keys/:gpg_key_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/gpg_keys/:gpg_key_id"]["response"];
+        };
+        getPublicSshKeyForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/keys/:key_id"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/keys/:key_id"]["response"];
+        };
+        list: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users"]["response"];
+        };
+        listBlockedByAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/blocks"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/blocks"]["response"];
+        };
+        listEmailsForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/emails"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/emails"]["response"];
+        };
+        listFollowedByAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/following"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/following"]["response"];
+        };
+        listFollowersForAuthenticatedUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/followers"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/followers"]["response"];
+        };
+        listFollowersForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/followers"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/followers"]["response"];
+        };
+        listFollowingForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/following"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/following"]["response"];
+        };
+        listGpgKeysForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/gpg_keys"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/gpg_keys"]["response"];
+        };
+        listGpgKeysForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/gpg_keys"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/gpg_keys"]["response"];
+        };
+        listPublicEmailsForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/public_emails"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/public_emails"]["response"];
+        };
+        listPublicKeysForUser: {
+            parameters: RequestParameters & Omit<Endpoints["GET /users/:username/keys"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /users/:username/keys"]["response"];
+        };
+        listPublicSshKeysForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["GET /user/keys"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["GET /user/keys"]["response"];
+        };
+        setPrimaryEmailVisibilityForAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /user/email/visibility"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /user/email/visibility"]["response"];
+        };
+        unblock: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/blocks/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/blocks/:username"]["response"];
+        };
+        unfollow: {
+            parameters: RequestParameters & Omit<Endpoints["DELETE /user/following/:username"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["DELETE /user/following/:username"]["response"];
+        };
+        updateAuthenticated: {
+            parameters: RequestParameters & Omit<Endpoints["PATCH /user"]["parameters"], "baseUrl" | "headers" | "mediaType">;
+            response: Endpoints["PATCH /user"]["response"];
+        };
+    };
+};
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/rest-endpoint-methods-types.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/rest-endpoint-methods-types.d.ts
deleted file mode 100644
index 4a1927e77..000000000
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/generated/rest-endpoint-methods-types.d.ts
+++ /dev/null
@@ -1,38224 +0,0 @@
-import { EndpointInterface, RequestParameters, OctokitResponse } from "@octokit/types";
-declare type AnyResponse = OctokitResponse<any>;
-declare type EmptyParams = {};
-declare type UsersUpdateAuthenticatedResponsePlan = {
-    collaborators: number;
-    name: string;
-    private_repos: number;
-    space: number;
-};
-declare type UsersUpdateAuthenticatedResponse = {
-    avatar_url: string;
-    bio: string;
-    blog: string;
-    collaborators: number;
-    company: string;
-    created_at: string;
-    disk_usage: number;
-    email: string;
-    events_url: string;
-    followers: number;
-    followers_url: string;
-    following: number;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    hireable: boolean;
-    html_url: string;
-    id: number;
-    location: string;
-    login: string;
-    name: string;
-    node_id: string;
-    organizations_url: string;
-    owned_private_repos: number;
-    plan: UsersUpdateAuthenticatedResponsePlan;
-    private_gists: number;
-    public_gists: number;
-    public_repos: number;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    total_private_repos: number;
-    two_factor_authentication: boolean;
-    type: string;
-    updated_at: string;
-    url: string;
-};
-declare type UsersTogglePrimaryEmailVisibilityResponseItem = {
-    email: string;
-    primary: boolean;
-    verified: boolean;
-    visibility: string;
-};
-declare type UsersListPublicKeysForUserResponseItem = {
-    id: number;
-    key: string;
-};
-declare type UsersListPublicKeysResponseItem = {
-    key: string;
-    key_id: string;
-};
-declare type UsersListPublicEmailsResponseItem = {
-    email: string;
-    primary: boolean;
-    verified: boolean;
-    visibility: string;
-};
-declare type UsersListGpgKeysForUserResponseItemSubkeysItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<any>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: number;
-    public_key: string;
-    subkeys: Array<any>;
-};
-declare type UsersListGpgKeysForUserResponseItemEmailsItem = {
-    email: string;
-    verified: boolean;
-};
-declare type UsersListGpgKeysForUserResponseItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<UsersListGpgKeysForUserResponseItemEmailsItem>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: null;
-    public_key: string;
-    subkeys: Array<UsersListGpgKeysForUserResponseItemSubkeysItem>;
-};
-declare type UsersListGpgKeysResponseItemSubkeysItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<any>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: number;
-    public_key: string;
-    subkeys: Array<any>;
-};
-declare type UsersListGpgKeysResponseItemEmailsItem = {
-    email: string;
-    verified: boolean;
-};
-declare type UsersListGpgKeysResponseItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<UsersListGpgKeysResponseItemEmailsItem>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: null;
-    public_key: string;
-    subkeys: Array<UsersListGpgKeysResponseItemSubkeysItem>;
-};
-declare type UsersListFollowingForUserResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type UsersListFollowingForAuthenticatedUserResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type UsersListFollowersForUserResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type UsersListFollowersForAuthenticatedUserResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type UsersListEmailsResponseItem = {
-    email: string;
-    primary: boolean;
-    verified: boolean;
-    visibility: string;
-};
-declare type UsersListBlockedResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type UsersListResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type UsersGetPublicKeyResponse = {
-    key: string;
-    key_id: string;
-};
-declare type UsersGetGpgKeyResponseSubkeysItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<any>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: number;
-    public_key: string;
-    subkeys: Array<any>;
-};
-declare type UsersGetGpgKeyResponseEmailsItem = {
-    email: string;
-    verified: boolean;
-};
-declare type UsersGetGpgKeyResponse = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<UsersGetGpgKeyResponseEmailsItem>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: null;
-    public_key: string;
-    subkeys: Array<UsersGetGpgKeyResponseSubkeysItem>;
-};
-declare type UsersGetContextForUserResponseContextsItem = {
-    message: string;
-    octicon: string;
-};
-declare type UsersGetContextForUserResponse = {
-    contexts: Array<UsersGetContextForUserResponseContextsItem>;
-};
-declare type UsersGetByUsernameResponsePlan = {
-    collaborators: number;
-    name: string;
-    private_repos: number;
-    space: number;
-};
-declare type UsersGetByUsernameResponse = {
-    avatar_url: string;
-    bio: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    followers_url: string;
-    following: number;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    hireable: boolean;
-    html_url: string;
-    id: number;
-    location: string;
-    login: string;
-    name: string;
-    node_id: string;
-    organizations_url: string;
-    public_gists: number;
-    public_repos: number;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-    plan?: UsersGetByUsernameResponsePlan;
-};
-declare type UsersGetAuthenticatedResponsePlan = {
-    collaborators: number;
-    name: string;
-    private_repos: number;
-    space: number;
-};
-declare type UsersGetAuthenticatedResponse = {
-    avatar_url: string;
-    bio: string;
-    blog: string;
-    collaborators?: number;
-    company: string;
-    created_at: string;
-    disk_usage?: number;
-    email: string;
-    events_url: string;
-    followers: number;
-    followers_url: string;
-    following: number;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    hireable: boolean;
-    html_url: string;
-    id: number;
-    location: string;
-    login: string;
-    name: string;
-    node_id: string;
-    organizations_url: string;
-    owned_private_repos?: number;
-    plan?: UsersGetAuthenticatedResponsePlan;
-    private_gists?: number;
-    public_gists: number;
-    public_repos: number;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    total_private_repos?: number;
-    two_factor_authentication?: boolean;
-    type: string;
-    updated_at: string;
-    url: string;
-};
-declare type UsersCreatePublicKeyResponse = {
-    key: string;
-    key_id: string;
-};
-declare type UsersCreateGpgKeyResponseSubkeysItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<any>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: number;
-    public_key: string;
-    subkeys: Array<any>;
-};
-declare type UsersCreateGpgKeyResponseEmailsItem = {
-    email: string;
-    verified: boolean;
-};
-declare type UsersCreateGpgKeyResponse = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<UsersCreateGpgKeyResponseEmailsItem>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: null;
-    public_key: string;
-    subkeys: Array<UsersCreateGpgKeyResponseSubkeysItem>;
-};
-declare type UsersAddEmailsResponseItem = {
-    email: string;
-    primary: boolean;
-    verified: boolean;
-    visibility: string | null;
-};
-declare type TeamsUpdateLegacyResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateLegacyResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsUpdateLegacyResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsUpdateInOrgResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateInOrgResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsUpdateInOrgResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsUpdateDiscussionLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionLegacyResponse = {
-    author: TeamsUpdateDiscussionLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsUpdateDiscussionLegacyResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsUpdateDiscussionInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionInOrgResponse = {
-    author: TeamsUpdateDiscussionInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsUpdateDiscussionInOrgResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentLegacyResponse = {
-    author: TeamsUpdateDiscussionCommentLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    reactions: TeamsUpdateDiscussionCommentLegacyResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentInOrgResponse = {
-    author: TeamsUpdateDiscussionCommentInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    reactions: TeamsUpdateDiscussionCommentInOrgResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionCommentResponse = {
-    author: TeamsUpdateDiscussionCommentResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    reactions: TeamsUpdateDiscussionCommentResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsUpdateDiscussionResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateDiscussionResponse = {
-    author: TeamsUpdateDiscussionResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsUpdateDiscussionResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsUpdateResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsUpdateResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsUpdateResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsReviewProjectLegacyResponsePermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-};
-declare type TeamsReviewProjectLegacyResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsReviewProjectLegacyResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsReviewProjectLegacyResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsReviewProjectLegacyResponsePermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsReviewProjectInOrgResponsePermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-};
-declare type TeamsReviewProjectInOrgResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsReviewProjectInOrgResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsReviewProjectInOrgResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsReviewProjectInOrgResponsePermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsReviewProjectResponsePermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-};
-declare type TeamsReviewProjectResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsReviewProjectResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsReviewProjectResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsReviewProjectResponsePermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListReposLegacyResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type TeamsListReposLegacyResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListReposLegacyResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type TeamsListReposLegacyResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: TeamsListReposLegacyResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsListReposLegacyResponseItemOwner;
-    permissions: TeamsListReposLegacyResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type TeamsListReposInOrgResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type TeamsListReposInOrgResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListReposInOrgResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type TeamsListReposInOrgResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: TeamsListReposInOrgResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsListReposInOrgResponseItemOwner;
-    permissions: TeamsListReposInOrgResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type TeamsListReposResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type TeamsListReposResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListReposResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type TeamsListReposResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: TeamsListReposResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsListReposResponseItemOwner;
-    permissions: TeamsListReposResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type TeamsListProjectsLegacyResponseItemPermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-};
-declare type TeamsListProjectsLegacyResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListProjectsLegacyResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsListProjectsLegacyResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsListProjectsLegacyResponseItemPermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListProjectsInOrgResponseItemPermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-};
-declare type TeamsListProjectsInOrgResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListProjectsInOrgResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsListProjectsInOrgResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsListProjectsInOrgResponseItemPermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListProjectsResponseItemPermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-};
-declare type TeamsListProjectsResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListProjectsResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsListProjectsResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsListProjectsResponseItemPermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListPendingInvitationsLegacyResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListPendingInvitationsLegacyResponseItem = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: TeamsListPendingInvitationsLegacyResponseItemInviter;
-    login: string;
-    role: string;
-    team_count: number;
-};
-declare type TeamsListPendingInvitationsInOrgResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListPendingInvitationsInOrgResponseItem = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: TeamsListPendingInvitationsInOrgResponseItemInviter;
-    login: string;
-    role: string;
-    team_count: number;
-};
-declare type TeamsListPendingInvitationsResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListPendingInvitationsResponseItem = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: TeamsListPendingInvitationsResponseItemInviter;
-    login: string;
-    role: string;
-    team_count: number;
-};
-declare type TeamsListMembersLegacyResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListMembersInOrgResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListMembersResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListForAuthenticatedUserResponseItemOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListForAuthenticatedUserResponseItem = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsListForAuthenticatedUserResponseItemOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListDiscussionsLegacyResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsListDiscussionsLegacyResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListDiscussionsLegacyResponseItem = {
-    author: TeamsListDiscussionsLegacyResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsListDiscussionsLegacyResponseItemReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListDiscussionsInOrgResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsListDiscussionsInOrgResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListDiscussionsInOrgResponseItem = {
-    author: TeamsListDiscussionsInOrgResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsListDiscussionsInOrgResponseItemReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListDiscussionsResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsListDiscussionsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListDiscussionsResponseItem = {
-    author: TeamsListDiscussionsResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsListDiscussionsResponseItemReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsLegacyResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsLegacyResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsLegacyResponseItem = {
-    author: TeamsListDiscussionCommentsLegacyResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsListDiscussionCommentsLegacyResponseItemReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsInOrgResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsInOrgResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsInOrgResponseItem = {
-    author: TeamsListDiscussionCommentsInOrgResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsListDiscussionCommentsInOrgResponseItemReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsListDiscussionCommentsResponseItem = {
-    author: TeamsListDiscussionCommentsResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsListDiscussionCommentsResponseItemReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsListChildLegacyResponseItemParent = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type TeamsListChildLegacyResponseItem = {
-    description: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: TeamsListChildLegacyResponseItemParent;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type TeamsListChildInOrgResponseItemParent = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type TeamsListChildInOrgResponseItem = {
-    description: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: TeamsListChildInOrgResponseItemParent;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type TeamsListChildResponseItemParent = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type TeamsListChildResponseItem = {
-    description: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: TeamsListChildResponseItemParent;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type TeamsListResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type TeamsGetMembershipLegacyResponse = {
-    role: string;
-    state: string;
-    url: string;
-};
-declare type TeamsGetMembershipInOrgResponse = {
-    role: string;
-    state: string;
-    url: string;
-};
-declare type TeamsGetMembershipResponse = {
-    role: string;
-    state: string;
-    url: string;
-};
-declare type TeamsGetLegacyResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetLegacyResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsGetLegacyResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsGetDiscussionLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsGetDiscussionLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetDiscussionLegacyResponse = {
-    author: TeamsGetDiscussionLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsGetDiscussionLegacyResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsGetDiscussionInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsGetDiscussionInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetDiscussionInOrgResponse = {
-    author: TeamsGetDiscussionInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsGetDiscussionInOrgResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentLegacyResponse = {
-    author: TeamsGetDiscussionCommentLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsGetDiscussionCommentLegacyResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentInOrgResponse = {
-    author: TeamsGetDiscussionCommentInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsGetDiscussionCommentInOrgResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetDiscussionCommentResponse = {
-    author: TeamsGetDiscussionCommentResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsGetDiscussionCommentResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsGetDiscussionResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsGetDiscussionResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetDiscussionResponse = {
-    author: TeamsGetDiscussionResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsGetDiscussionResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsGetByNameResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetByNameResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsGetByNameResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsGetResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsGetResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsGetResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsCreateDiscussionLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionLegacyResponse = {
-    author: TeamsCreateDiscussionLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsCreateDiscussionLegacyResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsCreateDiscussionInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionInOrgResponse = {
-    author: TeamsCreateDiscussionInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsCreateDiscussionInOrgResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentLegacyResponse = {
-    author: TeamsCreateDiscussionCommentLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsCreateDiscussionCommentLegacyResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentInOrgResponse = {
-    author: TeamsCreateDiscussionCommentInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsCreateDiscussionCommentInOrgResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionCommentResponse = {
-    author: TeamsCreateDiscussionCommentResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsCreateDiscussionCommentResponseReactions;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-};
-declare type TeamsCreateDiscussionResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCreateDiscussionResponse = {
-    author: TeamsCreateDiscussionResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsCreateDiscussionResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsCreateResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCreateResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsCreateResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-};
-declare type TeamsCheckManagesRepoLegacyResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type TeamsCheckManagesRepoLegacyResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCheckManagesRepoLegacyResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsCheckManagesRepoLegacyResponseOwner;
-    permissions: TeamsCheckManagesRepoLegacyResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type TeamsCheckManagesRepoInOrgResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type TeamsCheckManagesRepoInOrgResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCheckManagesRepoInOrgResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsCheckManagesRepoInOrgResponseOwner;
-    permissions: TeamsCheckManagesRepoInOrgResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type TeamsCheckManagesRepoResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type TeamsCheckManagesRepoResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type TeamsCheckManagesRepoResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsCheckManagesRepoResponseOwner;
-    permissions: TeamsCheckManagesRepoResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type TeamsAddOrUpdateProjectLegacyResponse = {
-    documentation_url: string;
-    message: string;
-};
-declare type TeamsAddOrUpdateProjectInOrgResponse = {
-    documentation_url: string;
-    message: string;
-};
-declare type TeamsAddOrUpdateProjectResponse = {
-    documentation_url: string;
-    message: string;
-};
-declare type TeamsAddOrUpdateMembershipLegacyResponse = {
-    role: string;
-    state: string;
-    url: string;
-};
-declare type TeamsAddOrUpdateMembershipInOrgResponse = {
-    role: string;
-    state: string;
-    url: string;
-};
-declare type TeamsAddOrUpdateMembershipResponse = {
-    role: string;
-    state: string;
-    url: string;
-};
-declare type TeamsAddMemberLegacyResponseErrorsItem = {
-    code: string;
-    field: string;
-    resource: string;
-};
-declare type TeamsAddMemberLegacyResponse = {
-    errors: Array<TeamsAddMemberLegacyResponseErrorsItem>;
-    message: string;
-};
-declare type TeamsAddMemberResponseErrorsItem = {
-    code: string;
-    field: string;
-    resource: string;
-};
-declare type TeamsAddMemberResponse = {
-    errors: Array<TeamsAddMemberResponseErrorsItem>;
-    message: string;
-};
-declare type SearchUsersLegacyResponseUsersItem = {
-    created: string;
-    created_at: string;
-    followers: number;
-    followers_count: number;
-    fullname: string;
-    gravatar_id: string;
-    id: string;
-    language: string;
-    location: string;
-    login: string;
-    name: string;
-    public_repo_count: number;
-    repos: number;
-    score: number;
-    type: string;
-    username: string;
-};
-declare type SearchUsersLegacyResponse = {
-    users: Array<SearchUsersLegacyResponseUsersItem>;
-};
-declare type SearchUsersResponseItemsItem = {
-    avatar_url: string;
-    followers_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    score: number;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type SearchUsersResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchUsersResponseItemsItem>;
-    total_count: number;
-};
-declare type SearchTopicsResponseItemsItem = {
-    created_at: string;
-    created_by: string;
-    curated: boolean;
-    description: string;
-    display_name: string;
-    featured: boolean;
-    name: string;
-    released: string;
-    score: number;
-    short_description: string;
-    updated_at: string;
-};
-declare type SearchTopicsResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchTopicsResponseItemsItem>;
-    total_count: number;
-};
-declare type SearchReposLegacyResponseRepositoriesItem = {
-    created: string;
-    created_at: string;
-    description: string;
-    followers: number;
-    fork: boolean;
-    forks: number;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    language: string;
-    name: string;
-    open_issues: number;
-    owner: string;
-    private: boolean;
-    pushed: string;
-    pushed_at: string;
-    score: number;
-    size: number;
-    type: string;
-    url: string;
-    username: string;
-    watchers: number;
-};
-declare type SearchReposLegacyResponse = {
-    repositories: Array<SearchReposLegacyResponseRepositoriesItem>;
-};
-declare type SearchReposResponseItemsItemOwner = {
-    avatar_url: string;
-    gravatar_id: string;
-    id: number;
-    login: string;
-    node_id: string;
-    received_events_url: string;
-    type: string;
-    url: string;
-};
-declare type SearchReposResponseItemsItem = {
-    created_at: string;
-    default_branch: string;
-    description: string;
-    fork: boolean;
-    forks_count: number;
-    full_name: string;
-    homepage: string;
-    html_url: string;
-    id: number;
-    language: string;
-    master_branch: string;
-    name: string;
-    node_id: string;
-    open_issues_count: number;
-    owner: SearchReposResponseItemsItemOwner;
-    private: boolean;
-    pushed_at: string;
-    score: number;
-    size: number;
-    stargazers_count: number;
-    updated_at: string;
-    url: string;
-    watchers_count: number;
-};
-declare type SearchReposResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchReposResponseItemsItem>;
-    total_count: number;
-};
-declare type SearchLabelsResponseItemsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    score: number;
-    url: string;
-};
-declare type SearchLabelsResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchLabelsResponseItemsItem>;
-    total_count: number;
-};
-declare type SearchIssuesLegacyResponseIssuesItem = {
-    body: string;
-    comments: number;
-    created_at: string;
-    gravatar_id: string;
-    html_url: string;
-    labels: Array<string>;
-    number: number;
-    position: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    user: string;
-    votes: number;
-};
-declare type SearchIssuesLegacyResponse = {
-    issues: Array<SearchIssuesLegacyResponseIssuesItem>;
-};
-declare type SearchIssuesAndPullRequestsResponseItemsItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type SearchIssuesAndPullRequestsResponseItemsItemPullRequest = {
-    diff_url: null;
-    html_url: null;
-    patch_url: null;
-};
-declare type SearchIssuesAndPullRequestsResponseItemsItemLabelsItem = {
-    color: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type SearchIssuesAndPullRequestsResponseItemsItem = {
-    assignee: null;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<SearchIssuesAndPullRequestsResponseItemsItemLabelsItem>;
-    labels_url: string;
-    milestone: null;
-    node_id: string;
-    number: number;
-    pull_request: SearchIssuesAndPullRequestsResponseItemsItemPullRequest;
-    repository_url: string;
-    score: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: SearchIssuesAndPullRequestsResponseItemsItemUser;
-};
-declare type SearchIssuesAndPullRequestsResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchIssuesAndPullRequestsResponseItemsItem>;
-    total_count: number;
-};
-declare type SearchIssuesResponseItemsItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type SearchIssuesResponseItemsItemPullRequest = {
-    diff_url: null;
-    html_url: null;
-    patch_url: null;
-};
-declare type SearchIssuesResponseItemsItemLabelsItem = {
-    color: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type SearchIssuesResponseItemsItem = {
-    assignee: null;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<SearchIssuesResponseItemsItemLabelsItem>;
-    labels_url: string;
-    milestone: null;
-    node_id: string;
-    number: number;
-    pull_request: SearchIssuesResponseItemsItemPullRequest;
-    repository_url: string;
-    score: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: SearchIssuesResponseItemsItemUser;
-};
-declare type SearchIssuesResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchIssuesResponseItemsItem>;
-    total_count: number;
-};
-declare type SearchEmailLegacyResponseUser = {
-    blog: string;
-    company: string;
-    created: string;
-    created_at: string;
-    email: string;
-    followers_count: number;
-    following_count: number;
-    gravatar_id: string;
-    id: number;
-    location: string;
-    login: string;
-    name: string;
-    public_gist_count: number;
-    public_repo_count: number;
-    type: string;
-};
-declare type SearchEmailLegacyResponse = {
-    user: SearchEmailLegacyResponseUser;
-};
-declare type SearchCommitsResponseItemsItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type SearchCommitsResponseItemsItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: SearchCommitsResponseItemsItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type SearchCommitsResponseItemsItemParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-};
-declare type SearchCommitsResponseItemsItemCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type SearchCommitsResponseItemsItemCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type SearchCommitsResponseItemsItemCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type SearchCommitsResponseItemsItemCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type SearchCommitsResponseItemsItemCommit = {
-    author: SearchCommitsResponseItemsItemCommitAuthor;
-    comment_count: number;
-    committer: SearchCommitsResponseItemsItemCommitCommitter;
-    message: string;
-    tree: SearchCommitsResponseItemsItemCommitTree;
-    url: string;
-};
-declare type SearchCommitsResponseItemsItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type SearchCommitsResponseItemsItem = {
-    author: SearchCommitsResponseItemsItemAuthor;
-    comments_url: string;
-    commit: SearchCommitsResponseItemsItemCommit;
-    committer: SearchCommitsResponseItemsItemCommitter;
-    html_url: string;
-    parents: Array<SearchCommitsResponseItemsItemParentsItem>;
-    repository: SearchCommitsResponseItemsItemRepository;
-    score: number;
-    sha: string;
-    url: string;
-};
-declare type SearchCommitsResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchCommitsResponseItemsItem>;
-    total_count: number;
-};
-declare type SearchCodeResponseItemsItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type SearchCodeResponseItemsItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: SearchCodeResponseItemsItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type SearchCodeResponseItemsItem = {
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    repository: SearchCodeResponseItemsItemRepository;
-    score: number;
-    sha: string;
-    url: string;
-};
-declare type SearchCodeResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchCodeResponseItemsItem>;
-    total_count: number;
-};
-declare type ReposUploadReleaseAssetResponseValueUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUploadReleaseAssetResponseValue = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposUploadReleaseAssetResponseValueUploader;
-    url: string;
-};
-declare type ReposUploadReleaseAssetResponse = {
-    value: ReposUploadReleaseAssetResponseValue;
-};
-declare type ReposUpdateReleaseAssetResponseUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateReleaseAssetResponse = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposUpdateReleaseAssetResponseUploader;
-    url: string;
-};
-declare type ReposUpdateReleaseResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateReleaseResponseAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateReleaseResponseAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposUpdateReleaseResponseAssetsItemUploader;
-    url: string;
-};
-declare type ReposUpdateReleaseResponse = {
-    assets: Array<ReposUpdateReleaseResponseAssetsItem>;
-    assets_url: string;
-    author: ReposUpdateReleaseResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-};
-declare type ReposUpdateProtectedBranchRequiredStatusChecksResponse = {
-    contexts: Array<string>;
-    contexts_url: string;
-    strict: boolean;
-    url: string;
-};
-declare type ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictions = {
-    teams: Array<ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsUsersItem>;
-    users_url: string;
-};
-declare type ReposUpdateProtectedBranchPullRequestReviewEnforcementResponse = {
-    dismiss_stale_reviews: boolean;
-    dismissal_restrictions: ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictions;
-    require_code_owner_reviews: boolean;
-    required_approving_review_count: number;
-    url: string;
-};
-declare type ReposUpdateInvitationResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateInvitationResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposUpdateInvitationResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ReposUpdateInvitationResponseInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateInvitationResponseInvitee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateInvitationResponse = {
-    created_at: string;
-    html_url: string;
-    id: number;
-    invitee: ReposUpdateInvitationResponseInvitee;
-    inviter: ReposUpdateInvitationResponseInviter;
-    permissions: string;
-    repository: ReposUpdateInvitationResponseRepository;
-    url: string;
-};
-declare type ReposUpdateHookResponseLastResponse = {
-    code: null;
-    message: null;
-    status: string;
-};
-declare type ReposUpdateHookResponseConfig = {
-    content_type: string;
-    insecure_ssl: string;
-    url: string;
-};
-declare type ReposUpdateHookResponse = {
-    active: boolean;
-    config: ReposUpdateHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    last_response: ReposUpdateHookResponseLastResponse;
-    name: string;
-    ping_url: string;
-    test_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposUpdateFileResponseContentLinks = {
-    git: string;
-    html: string;
-    self: string;
-};
-declare type ReposUpdateFileResponseContent = {
-    _links: ReposUpdateFileResponseContentLinks;
-    download_url: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateFileResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposUpdateFileResponseCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposUpdateFileResponseCommitParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-};
-declare type ReposUpdateFileResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposUpdateFileResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposUpdateFileResponseCommit = {
-    author: ReposUpdateFileResponseCommitAuthor;
-    committer: ReposUpdateFileResponseCommitCommitter;
-    html_url: string;
-    message: string;
-    node_id: string;
-    parents: Array<ReposUpdateFileResponseCommitParentsItem>;
-    sha: string;
-    tree: ReposUpdateFileResponseCommitTree;
-    url: string;
-    verification: ReposUpdateFileResponseCommitVerification;
-};
-declare type ReposUpdateFileResponse = {
-    commit: ReposUpdateFileResponseCommit;
-    content: ReposUpdateFileResponseContent;
-};
-declare type ReposUpdateCommitCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateCommitCommentResponse = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposUpdateCommitCommentResponseUser;
-};
-declare type ReposUpdateBranchProtectionResponseRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRestrictionsAppsItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ReposUpdateBranchProtectionResponseRestrictionsAppsItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRestrictionsAppsItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposUpdateBranchProtectionResponseRestrictionsAppsItemOwner;
-    permissions: ReposUpdateBranchProtectionResponseRestrictionsAppsItemPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ReposUpdateBranchProtectionResponseRestrictions = {
-    apps: Array<ReposUpdateBranchProtectionResponseRestrictionsAppsItem>;
-    apps_url: string;
-    teams: Array<ReposUpdateBranchProtectionResponseRestrictionsTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposUpdateBranchProtectionResponseRestrictionsUsersItem>;
-    users_url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRequiredStatusChecks = {
-    contexts: Array<string>;
-    contexts_url: string;
-    strict: boolean;
-    url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictions = {
-    teams: Array<ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsUsersItem>;
-    users_url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRequiredPullRequestReviews = {
-    dismiss_stale_reviews: boolean;
-    dismissal_restrictions: ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictions;
-    require_code_owner_reviews: boolean;
-    required_approving_review_count: number;
-    url: string;
-};
-declare type ReposUpdateBranchProtectionResponseRequiredLinearHistory = {
-    enabled: boolean;
-};
-declare type ReposUpdateBranchProtectionResponseEnforceAdmins = {
-    enabled: boolean;
-    url: string;
-};
-declare type ReposUpdateBranchProtectionResponseAllowForcePushes = {
-    enabled: boolean;
-};
-declare type ReposUpdateBranchProtectionResponseAllowDeletions = {
-    enabled: boolean;
-};
-declare type ReposUpdateBranchProtectionResponse = {
-    allow_deletions: ReposUpdateBranchProtectionResponseAllowDeletions;
-    allow_force_pushes: ReposUpdateBranchProtectionResponseAllowForcePushes;
-    enforce_admins: ReposUpdateBranchProtectionResponseEnforceAdmins;
-    required_linear_history: ReposUpdateBranchProtectionResponseRequiredLinearHistory;
-    required_pull_request_reviews: ReposUpdateBranchProtectionResponseRequiredPullRequestReviews;
-    required_status_checks: ReposUpdateBranchProtectionResponseRequiredStatusChecks;
-    restrictions: ReposUpdateBranchProtectionResponseRestrictions;
-    url: string;
-};
-declare type ReposUpdateResponseSourcePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposUpdateResponseSourceOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateResponseSource = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposUpdateResponseSourceOwner;
-    permissions: ReposUpdateResponseSourcePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposUpdateResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposUpdateResponseParentPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposUpdateResponseParentOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateResponseParent = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposUpdateResponseParentOwner;
-    permissions: ReposUpdateResponseParentPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposUpdateResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateResponseOrganization = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposUpdateResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    organization: ReposUpdateResponseOrganization;
-    owner: ReposUpdateResponseOwner;
-    parent: ReposUpdateResponseParent;
-    permissions: ReposUpdateResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    source: ReposUpdateResponseSource;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposTransferResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposTransferResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposTransferResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposTransferResponseOwner;
-    permissions: ReposTransferResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposRetrieveCommunityProfileMetricsResponseFilesReadme = {
-    html_url: string;
-    url: string;
-};
-declare type ReposRetrieveCommunityProfileMetricsResponseFilesPullRequestTemplate = {
-    html_url: string;
-    url: string;
-};
-declare type ReposRetrieveCommunityProfileMetricsResponseFilesLicense = {
-    html_url: string;
-    key: string;
-    name: string;
-    spdx_id: string;
-    url: string;
-};
-declare type ReposRetrieveCommunityProfileMetricsResponseFilesIssueTemplate = {
-    html_url: string;
-    url: string;
-};
-declare type ReposRetrieveCommunityProfileMetricsResponseFilesContributing = {
-    html_url: string;
-    url: string;
-};
-declare type ReposRetrieveCommunityProfileMetricsResponseFilesCodeOfConduct = {
-    html_url: string;
-    key: string;
-    name: string;
-    url: string;
-};
-declare type ReposRetrieveCommunityProfileMetricsResponseFiles = {
-    code_of_conduct: ReposRetrieveCommunityProfileMetricsResponseFilesCodeOfConduct;
-    contributing: ReposRetrieveCommunityProfileMetricsResponseFilesContributing;
-    issue_template: ReposRetrieveCommunityProfileMetricsResponseFilesIssueTemplate;
-    license: ReposRetrieveCommunityProfileMetricsResponseFilesLicense;
-    pull_request_template: ReposRetrieveCommunityProfileMetricsResponseFilesPullRequestTemplate;
-    readme: ReposRetrieveCommunityProfileMetricsResponseFilesReadme;
-};
-declare type ReposRetrieveCommunityProfileMetricsResponse = {
-    description: string;
-    documentation: boolean;
-    files: ReposRetrieveCommunityProfileMetricsResponseFiles;
-    health_percentage: number;
-    updated_at: string;
-};
-declare type ReposRequestPageBuildResponse = {
-    status: string;
-    url: string;
-};
-declare type ReposReplaceTopicsResponse = {
-    names: Array<string>;
-};
-declare type ReposReplaceProtectedBranchUserRestrictionsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposReplaceProtectedBranchTeamRestrictionsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposReplaceProtectedBranchAppRestrictionsResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ReposReplaceProtectedBranchAppRestrictionsResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ReposReplaceProtectedBranchAppRestrictionsResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposReplaceProtectedBranchAppRestrictionsResponseItemOwner;
-    permissions: ReposReplaceProtectedBranchAppRestrictionsResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ReposRemoveProtectedBranchUserRestrictionsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposRemoveProtectedBranchTeamRestrictionsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposRemoveProtectedBranchAppRestrictionsResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ReposRemoveProtectedBranchAppRestrictionsResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ReposRemoveProtectedBranchAppRestrictionsResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposRemoveProtectedBranchAppRestrictionsResponseItemOwner;
-    permissions: ReposRemoveProtectedBranchAppRestrictionsResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ReposMergeResponseParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type ReposMergeResponseCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposMergeResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposMergeResponseCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposMergeResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposMergeResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposMergeResponseCommit = {
-    author: ReposMergeResponseCommitAuthor;
-    comment_count: number;
-    committer: ReposMergeResponseCommitCommitter;
-    message: string;
-    tree: ReposMergeResponseCommitTree;
-    url: string;
-    verification: ReposMergeResponseCommitVerification;
-};
-declare type ReposMergeResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposMergeResponse = {
-    author: ReposMergeResponseAuthor;
-    comments_url: string;
-    commit: ReposMergeResponseCommit;
-    committer: ReposMergeResponseCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposMergeResponseParentsItem>;
-    sha: string;
-    url: string;
-};
-declare type ReposListUsersWithAccessToProtectedBranchResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListTopicsResponse = {
-    names: Array<string>;
-};
-declare type ReposListTeamsWithAccessToProtectedBranchResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposListTeamsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposListTagsResponseItemCommit = {
-    sha: string;
-    url: string;
-};
-declare type ReposListTagsResponseItem = {
-    commit: ReposListTagsResponseItemCommit;
-    name: string;
-    tarball_url: string;
-    zipball_url: string;
-};
-declare type ReposListStatusesForRefResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListStatusesForRefResponseItem = {
-    avatar_url: string;
-    context: string;
-    created_at: string;
-    creator: ReposListStatusesForRefResponseItemCreator;
-    description: string;
-    id: number;
-    node_id: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposListReleasesResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListReleasesResponseItemAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListReleasesResponseItemAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposListReleasesResponseItemAssetsItemUploader;
-    url: string;
-};
-declare type ReposListReleasesResponseItem = {
-    assets: Array<ReposListReleasesResponseItemAssetsItem>;
-    assets_url: string;
-    author: ReposListReleasesResponseItemAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: ReposListPullRequestsAssociatedWithCommitResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepoOwner;
-    permissions: ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemHead = {
-    label: string;
-    ref: string;
-    repo: ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepo;
-    sha: string;
-    user: ReposListPullRequestsAssociatedWithCommitResponseItemHeadUser;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepoOwner;
-    permissions: ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemBase = {
-    label: string;
-    ref: string;
-    repo: ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepo;
-    sha: string;
-    user: ReposListPullRequestsAssociatedWithCommitResponseItemBaseUser;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinksStatuses = {
-    href: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinksSelf = {
-    href: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinksReviewComments = {
-    href: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinksReviewComment = {
-    href: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinksIssue = {
-    href: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinksHtml = {
-    href: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinksCommits = {
-    href: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinksComments = {
-    href: string;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItemLinks = {
-    comments: ReposListPullRequestsAssociatedWithCommitResponseItemLinksComments;
-    commits: ReposListPullRequestsAssociatedWithCommitResponseItemLinksCommits;
-    html: ReposListPullRequestsAssociatedWithCommitResponseItemLinksHtml;
-    issue: ReposListPullRequestsAssociatedWithCommitResponseItemLinksIssue;
-    review_comment: ReposListPullRequestsAssociatedWithCommitResponseItemLinksReviewComment;
-    review_comments: ReposListPullRequestsAssociatedWithCommitResponseItemLinksReviewComments;
-    self: ReposListPullRequestsAssociatedWithCommitResponseItemLinksSelf;
-    statuses: ReposListPullRequestsAssociatedWithCommitResponseItemLinksStatuses;
-};
-declare type ReposListPullRequestsAssociatedWithCommitResponseItem = {
-    _links: ReposListPullRequestsAssociatedWithCommitResponseItemLinks;
-    active_lock_reason: string;
-    assignee: ReposListPullRequestsAssociatedWithCommitResponseItemAssignee;
-    assignees: Array<ReposListPullRequestsAssociatedWithCommitResponseItemAssigneesItem>;
-    author_association: string;
-    base: ReposListPullRequestsAssociatedWithCommitResponseItemBase;
-    body: string;
-    closed_at: string;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    diff_url: string;
-    draft: boolean;
-    head: ReposListPullRequestsAssociatedWithCommitResponseItemHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<ReposListPullRequestsAssociatedWithCommitResponseItemLabelsItem>;
-    locked: boolean;
-    merge_commit_sha: string;
-    merged_at: string;
-    milestone: ReposListPullRequestsAssociatedWithCommitResponseItemMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    requested_reviewers: Array<ReposListPullRequestsAssociatedWithCommitResponseItemRequestedReviewersItem>;
-    requested_teams: Array<ReposListPullRequestsAssociatedWithCommitResponseItemRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: ReposListPullRequestsAssociatedWithCommitResponseItemUser;
-};
-declare type ReposListPublicResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPublicResponseItem = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposListPublicResponseItemOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ReposListProtectedBranchUserRestrictionsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListProtectedBranchTeamRestrictionsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposListPagesBuildsResponseItemPusher = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListPagesBuildsResponseItemError = {
-    message: null;
-};
-declare type ReposListPagesBuildsResponseItem = {
-    commit: string;
-    created_at: string;
-    duration: number;
-    error: ReposListPagesBuildsResponseItemError;
-    pusher: ReposListPagesBuildsResponseItemPusher;
-    status: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposListLanguagesResponse = {
-    C: number;
-    Python: number;
-};
-declare type ReposListInvitationsForAuthenticatedUserResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListInvitationsForAuthenticatedUserResponseItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposListInvitationsForAuthenticatedUserResponseItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ReposListInvitationsForAuthenticatedUserResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListInvitationsForAuthenticatedUserResponseItemInvitee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListInvitationsForAuthenticatedUserResponseItem = {
-    created_at: string;
-    html_url: string;
-    id: number;
-    invitee: ReposListInvitationsForAuthenticatedUserResponseItemInvitee;
-    inviter: ReposListInvitationsForAuthenticatedUserResponseItemInviter;
-    permissions: string;
-    repository: ReposListInvitationsForAuthenticatedUserResponseItemRepository;
-    url: string;
-};
-declare type ReposListInvitationsResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListInvitationsResponseItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposListInvitationsResponseItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ReposListInvitationsResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListInvitationsResponseItemInvitee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListInvitationsResponseItem = {
-    created_at: string;
-    html_url: string;
-    id: number;
-    invitee: ReposListInvitationsResponseItemInvitee;
-    inviter: ReposListInvitationsResponseItemInviter;
-    permissions: string;
-    repository: ReposListInvitationsResponseItemRepository;
-    url: string;
-};
-declare type ReposListHooksResponseItemLastResponse = {
-    code: null;
-    message: null;
-    status: string;
-};
-declare type ReposListHooksResponseItemConfig = {
-    content_type: string;
-    insecure_ssl: string;
-    url: string;
-};
-declare type ReposListHooksResponseItem = {
-    active: boolean;
-    config: ReposListHooksResponseItemConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    last_response: ReposListHooksResponseItemLastResponse;
-    name: string;
-    ping_url: string;
-    test_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposListForksResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposListForksResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListForksResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type ReposListForksResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ReposListForksResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposListForksResponseItemOwner;
-    permissions: ReposListForksResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposListForOrgResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposListForOrgResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListForOrgResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type ReposListForOrgResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ReposListForOrgResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposListForOrgResponseItemOwner;
-    permissions: ReposListForOrgResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposListDownloadsResponseItem = {
-    content_type: string;
-    description: string;
-    download_count: number;
-    html_url: string;
-    id: number;
-    name: string;
-    size: number;
-    url: string;
-};
-declare type ReposListDeploymentsResponseItemPayload = {
-    deploy: string;
-};
-declare type ReposListDeploymentsResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListDeploymentsResponseItem = {
-    created_at: string;
-    creator: ReposListDeploymentsResponseItemCreator;
-    description: string;
-    environment: string;
-    id: number;
-    node_id: string;
-    original_environment: string;
-    payload: ReposListDeploymentsResponseItemPayload;
-    production_environment: boolean;
-    ref: string;
-    repository_url: string;
-    sha: string;
-    statuses_url: string;
-    task: string;
-    transient_environment: boolean;
-    updated_at: string;
-    url: string;
-};
-declare type ReposListDeploymentStatusesResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListDeploymentStatusesResponseItem = {
-    created_at: string;
-    creator: ReposListDeploymentStatusesResponseItemCreator;
-    deployment_url: string;
-    description: string;
-    environment: string;
-    environment_url: string;
-    id: number;
-    log_url: string;
-    node_id: string;
-    repository_url: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposListDeployKeysResponseItem = {
-    created_at: string;
-    id: number;
-    key: string;
-    read_only: boolean;
-    title: string;
-    url: string;
-    verified: boolean;
-};
-declare type ReposListContributorsResponseItem = {
-    avatar_url: string;
-    contributions: number;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListCommitsResponseItemParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type ReposListCommitsResponseItemCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListCommitsResponseItemCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposListCommitsResponseItemCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposListCommitsResponseItemCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposListCommitsResponseItemCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposListCommitsResponseItemCommit = {
-    author: ReposListCommitsResponseItemCommitAuthor;
-    comment_count: number;
-    committer: ReposListCommitsResponseItemCommitCommitter;
-    message: string;
-    tree: ReposListCommitsResponseItemCommitTree;
-    url: string;
-    verification: ReposListCommitsResponseItemCommitVerification;
-};
-declare type ReposListCommitsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListCommitsResponseItem = {
-    author: ReposListCommitsResponseItemAuthor;
-    comments_url: string;
-    commit: ReposListCommitsResponseItemCommit;
-    committer: ReposListCommitsResponseItemCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposListCommitsResponseItemParentsItem>;
-    sha: string;
-    url: string;
-};
-declare type ReposListCommitCommentsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListCommitCommentsResponseItem = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposListCommitCommentsResponseItemUser;
-};
-declare type ReposListCommentsForCommitResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListCommentsForCommitResponseItem = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposListCommentsForCommitResponseItemUser;
-};
-declare type ReposListCollaboratorsResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposListCollaboratorsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    permissions: ReposListCollaboratorsResponseItemPermissions;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListBranchesForHeadCommitResponseItemCommit = {
-    sha: string;
-    url: string;
-};
-declare type ReposListBranchesForHeadCommitResponseItem = {
-    commit: ReposListBranchesForHeadCommitResponseItemCommit;
-    name: string;
-    protected: string;
-};
-declare type ReposListBranchesResponseItemProtectionRequiredStatusChecks = {
-    contexts: Array<string>;
-    enforcement_level: string;
-};
-declare type ReposListBranchesResponseItemProtection = {
-    enabled: boolean;
-    required_status_checks: ReposListBranchesResponseItemProtectionRequiredStatusChecks;
-};
-declare type ReposListBranchesResponseItemCommit = {
-    sha: string;
-    url: string;
-};
-declare type ReposListBranchesResponseItem = {
-    commit: ReposListBranchesResponseItemCommit;
-    name: string;
-    protected: boolean;
-    protection: ReposListBranchesResponseItemProtection;
-    protection_url: string;
-};
-declare type ReposListAssetsForReleaseResponseItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposListAssetsForReleaseResponseItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposListAssetsForReleaseResponseItemUploader;
-    url: string;
-};
-declare type ReposListAppsWithAccessToProtectedBranchResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ReposListAppsWithAccessToProtectedBranchResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ReposListAppsWithAccessToProtectedBranchResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposListAppsWithAccessToProtectedBranchResponseItemOwner;
-    permissions: ReposListAppsWithAccessToProtectedBranchResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ReposGetViewsResponseViewsItem = {
-    count: number;
-    timestamp: string;
-    uniques: number;
-};
-declare type ReposGetViewsResponse = {
-    count: number;
-    uniques: number;
-    views: Array<ReposGetViewsResponseViewsItem>;
-};
-declare type ReposGetUsersWithAccessToProtectedBranchResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetTopReferrersResponseItem = {
-    count: number;
-    referrer: string;
-    uniques: number;
-};
-declare type ReposGetTopPathsResponseItem = {
-    count: number;
-    path: string;
-    title: string;
-    uniques: number;
-};
-declare type ReposGetTeamsWithAccessToProtectedBranchResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposGetReleaseByTagResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetReleaseByTagResponseAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetReleaseByTagResponseAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposGetReleaseByTagResponseAssetsItemUploader;
-    url: string;
-};
-declare type ReposGetReleaseByTagResponse = {
-    assets: Array<ReposGetReleaseByTagResponseAssetsItem>;
-    assets_url: string;
-    author: ReposGetReleaseByTagResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-};
-declare type ReposGetReleaseAssetResponseUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetReleaseAssetResponse = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposGetReleaseAssetResponseUploader;
-    url: string;
-};
-declare type ReposGetReleaseResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetReleaseResponseAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetReleaseResponseAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposGetReleaseResponseAssetsItemUploader;
-    url: string;
-};
-declare type ReposGetReleaseResponse = {
-    assets: Array<ReposGetReleaseResponseAssetsItem>;
-    assets_url: string;
-    author: ReposGetReleaseResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-};
-declare type ReposGetReadmeResponseLinks = {
-    git: string;
-    html: string;
-    self: string;
-};
-declare type ReposGetReadmeResponse = {
-    _links: ReposGetReadmeResponseLinks;
-    content: string;
-    download_url: string;
-    encoding: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-};
-declare type ReposGetProtectedBranchRestrictionsResponseUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetProtectedBranchRestrictionsResponseTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposGetProtectedBranchRestrictionsResponseAppsItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ReposGetProtectedBranchRestrictionsResponseAppsItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ReposGetProtectedBranchRestrictionsResponseAppsItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposGetProtectedBranchRestrictionsResponseAppsItemOwner;
-    permissions: ReposGetProtectedBranchRestrictionsResponseAppsItemPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ReposGetProtectedBranchRestrictionsResponse = {
-    apps: Array<ReposGetProtectedBranchRestrictionsResponseAppsItem>;
-    apps_url: string;
-    teams: Array<ReposGetProtectedBranchRestrictionsResponseTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposGetProtectedBranchRestrictionsResponseUsersItem>;
-    users_url: string;
-};
-declare type ReposGetProtectedBranchRequiredStatusChecksResponse = {
-    contexts: Array<string>;
-    contexts_url: string;
-    strict: boolean;
-    url: string;
-};
-declare type ReposGetProtectedBranchRequiredSignaturesResponse = {
-    enabled: boolean;
-    url: string;
-};
-declare type ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictions = {
-    teams: Array<ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsUsersItem>;
-    users_url: string;
-};
-declare type ReposGetProtectedBranchPullRequestReviewEnforcementResponse = {
-    dismiss_stale_reviews: boolean;
-    dismissal_restrictions: ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictions;
-    require_code_owner_reviews: boolean;
-    required_approving_review_count: number;
-    url: string;
-};
-declare type ReposGetProtectedBranchAdminEnforcementResponse = {
-    enabled: boolean;
-    url: string;
-};
-declare type ReposGetParticipationStatsResponse = {
-    all: Array<number>;
-    owner: Array<number>;
-};
-declare type ReposGetPagesBuildResponsePusher = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetPagesBuildResponseError = {
-    message: null;
-};
-declare type ReposGetPagesBuildResponse = {
-    commit: string;
-    created_at: string;
-    duration: number;
-    error: ReposGetPagesBuildResponseError;
-    pusher: ReposGetPagesBuildResponsePusher;
-    status: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposGetPagesResponseSource = {
-    branch: string;
-    directory: string;
-};
-declare type ReposGetPagesResponse = {
-    cname: string;
-    custom_404: boolean;
-    html_url: string;
-    source: ReposGetPagesResponseSource;
-    status: string;
-    url: string;
-};
-declare type ReposGetLatestReleaseResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetLatestReleaseResponseAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetLatestReleaseResponseAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposGetLatestReleaseResponseAssetsItemUploader;
-    url: string;
-};
-declare type ReposGetLatestReleaseResponse = {
-    assets: Array<ReposGetLatestReleaseResponseAssetsItem>;
-    assets_url: string;
-    author: ReposGetLatestReleaseResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-};
-declare type ReposGetLatestPagesBuildResponsePusher = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetLatestPagesBuildResponseError = {
-    message: null;
-};
-declare type ReposGetLatestPagesBuildResponse = {
-    commit: string;
-    created_at: string;
-    duration: number;
-    error: ReposGetLatestPagesBuildResponseError;
-    pusher: ReposGetLatestPagesBuildResponsePusher;
-    status: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposGetHookResponseLastResponse = {
-    code: null;
-    message: null;
-    status: string;
-};
-declare type ReposGetHookResponseConfig = {
-    content_type: string;
-    insecure_ssl: string;
-    url: string;
-};
-declare type ReposGetHookResponse = {
-    active: boolean;
-    config: ReposGetHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    last_response: ReposGetHookResponseLastResponse;
-    name: string;
-    ping_url: string;
-    test_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposGetDownloadResponse = {
-    content_type: string;
-    description: string;
-    download_count: number;
-    html_url: string;
-    id: number;
-    name: string;
-    size: number;
-    url: string;
-};
-declare type ReposGetDeploymentStatusResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetDeploymentStatusResponse = {
-    created_at: string;
-    creator: ReposGetDeploymentStatusResponseCreator;
-    deployment_url: string;
-    description: string;
-    environment: string;
-    environment_url: string;
-    id: number;
-    log_url: string;
-    node_id: string;
-    repository_url: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposGetDeploymentResponsePayload = {
-    deploy: string;
-};
-declare type ReposGetDeploymentResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetDeploymentResponse = {
-    created_at: string;
-    creator: ReposGetDeploymentResponseCreator;
-    description: string;
-    environment: string;
-    id: number;
-    node_id: string;
-    original_environment: string;
-    payload: ReposGetDeploymentResponsePayload;
-    production_environment: boolean;
-    ref: string;
-    repository_url: string;
-    sha: string;
-    statuses_url: string;
-    task: string;
-    transient_environment: boolean;
-    updated_at: string;
-    url: string;
-};
-declare type ReposGetDeployKeyResponse = {
-    created_at: string;
-    id: number;
-    key: string;
-    read_only: boolean;
-    title: string;
-    url: string;
-    verified: boolean;
-};
-declare type ReposGetContributorsStatsResponseItemWeeksItem = {
-    a: number;
-    c: number;
-    d: number;
-    w: string;
-};
-declare type ReposGetContributorsStatsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetContributorsStatsResponseItem = {
-    author: ReposGetContributorsStatsResponseItemAuthor;
-    total: number;
-    weeks: Array<ReposGetContributorsStatsResponseItemWeeksItem>;
-};
-declare type ReposGetContentsResponseItemLinks = {
-    git: string;
-    html: string;
-    self: string;
-};
-declare type ReposGetContentsResponseItem = {
-    _links: ReposGetContentsResponseItemLinks;
-    download_url: string | null;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-};
-declare type ReposGetContentsResponseLinks = {
-    git: string;
-    html: string;
-    self: string;
-};
-declare type ReposGetContentsResponse = {
-    _links: ReposGetContentsResponseLinks;
-    content?: string;
-    download_url: string | null;
-    encoding?: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-    target?: string;
-    submodule_git_url?: string;
-} | Array<ReposGetContentsResponseItem>;
-declare type ReposGetCommitCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetCommitCommentResponse = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposGetCommitCommentResponseUser;
-};
-declare type ReposGetCommitActivityStatsResponseItem = {
-    days: Array<number>;
-    total: number;
-    week: number;
-};
-declare type ReposGetCommitResponseStats = {
-    additions: number;
-    deletions: number;
-    total: number;
-};
-declare type ReposGetCommitResponseParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type ReposGetCommitResponseFilesItem = {
-    additions: number;
-    blob_url: string;
-    changes: number;
-    deletions: number;
-    filename: string;
-    patch: string;
-    raw_url: string;
-    status: string;
-};
-declare type ReposGetCommitResponseCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetCommitResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposGetCommitResponseCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposGetCommitResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposGetCommitResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposGetCommitResponseCommit = {
-    author: ReposGetCommitResponseCommitAuthor;
-    comment_count: number;
-    committer: ReposGetCommitResponseCommitCommitter;
-    message: string;
-    tree: ReposGetCommitResponseCommitTree;
-    url: string;
-    verification: ReposGetCommitResponseCommitVerification;
-};
-declare type ReposGetCommitResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetCommitResponse = {
-    author: ReposGetCommitResponseAuthor;
-    comments_url: string;
-    commit: ReposGetCommitResponseCommit;
-    committer: ReposGetCommitResponseCommitter;
-    files: Array<ReposGetCommitResponseFilesItem>;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposGetCommitResponseParentsItem>;
-    sha: string;
-    stats: ReposGetCommitResponseStats;
-    url: string;
-};
-declare type ReposGetCombinedStatusForRefResponseStatusesItem = {
-    avatar_url: string;
-    context: string;
-    created_at: string;
-    description: string;
-    id: number;
-    node_id: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposGetCombinedStatusForRefResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetCombinedStatusForRefResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposGetCombinedStatusForRefResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ReposGetCombinedStatusForRefResponse = {
-    commit_url: string;
-    repository: ReposGetCombinedStatusForRefResponseRepository;
-    sha: string;
-    state: string;
-    statuses: Array<ReposGetCombinedStatusForRefResponseStatusesItem>;
-    total_count: number;
-    url: string;
-};
-declare type ReposGetCollaboratorPermissionLevelResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetCollaboratorPermissionLevelResponse = {
-    permission: string;
-    user: ReposGetCollaboratorPermissionLevelResponseUser;
-};
-declare type ReposGetClonesResponseClonesItem = {
-    count: number;
-    timestamp: string;
-    uniques: number;
-};
-declare type ReposGetClonesResponse = {
-    clones: Array<ReposGetClonesResponseClonesItem>;
-    count: number;
-    uniques: number;
-};
-declare type ReposGetBranchProtectionResponseRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetBranchProtectionResponseRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposGetBranchProtectionResponseRestrictionsAppsItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ReposGetBranchProtectionResponseRestrictionsAppsItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ReposGetBranchProtectionResponseRestrictionsAppsItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposGetBranchProtectionResponseRestrictionsAppsItemOwner;
-    permissions: ReposGetBranchProtectionResponseRestrictionsAppsItemPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ReposGetBranchProtectionResponseRestrictions = {
-    apps: Array<ReposGetBranchProtectionResponseRestrictionsAppsItem>;
-    apps_url: string;
-    teams: Array<ReposGetBranchProtectionResponseRestrictionsTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposGetBranchProtectionResponseRestrictionsUsersItem>;
-    users_url: string;
-};
-declare type ReposGetBranchProtectionResponseRequiredStatusChecks = {
-    contexts: Array<string>;
-    contexts_url: string;
-    strict: boolean;
-    url: string;
-};
-declare type ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictions = {
-    teams: Array<ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsUsersItem>;
-    users_url: string;
-};
-declare type ReposGetBranchProtectionResponseRequiredPullRequestReviews = {
-    dismiss_stale_reviews: boolean;
-    dismissal_restrictions: ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictions;
-    require_code_owner_reviews: boolean;
-    required_approving_review_count: number;
-    url: string;
-};
-declare type ReposGetBranchProtectionResponseRequiredLinearHistory = {
-    enabled: boolean;
-};
-declare type ReposGetBranchProtectionResponseEnforceAdmins = {
-    enabled: boolean;
-    url: string;
-};
-declare type ReposGetBranchProtectionResponseAllowForcePushes = {
-    enabled: boolean;
-};
-declare type ReposGetBranchProtectionResponseAllowDeletions = {
-    enabled: boolean;
-};
-declare type ReposGetBranchProtectionResponse = {
-    allow_deletions: ReposGetBranchProtectionResponseAllowDeletions;
-    allow_force_pushes: ReposGetBranchProtectionResponseAllowForcePushes;
-    enforce_admins: ReposGetBranchProtectionResponseEnforceAdmins;
-    required_linear_history: ReposGetBranchProtectionResponseRequiredLinearHistory;
-    required_pull_request_reviews: ReposGetBranchProtectionResponseRequiredPullRequestReviews;
-    required_status_checks: ReposGetBranchProtectionResponseRequiredStatusChecks;
-    restrictions: ReposGetBranchProtectionResponseRestrictions;
-    url: string;
-};
-declare type ReposGetBranchResponseProtectionRequiredStatusChecks = {
-    contexts: Array<string>;
-    enforcement_level: string;
-};
-declare type ReposGetBranchResponseProtection = {
-    enabled: boolean;
-    required_status_checks: ReposGetBranchResponseProtectionRequiredStatusChecks;
-};
-declare type ReposGetBranchResponseCommitParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type ReposGetBranchResponseCommitCommitter = {
-    avatar_url: string;
-    gravatar_id: string;
-    id: number;
-    login: string;
-    url: string;
-};
-declare type ReposGetBranchResponseCommitCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposGetBranchResponseCommitCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposGetBranchResponseCommitCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposGetBranchResponseCommitCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposGetBranchResponseCommitCommit = {
-    author: ReposGetBranchResponseCommitCommitAuthor;
-    committer: ReposGetBranchResponseCommitCommitCommitter;
-    message: string;
-    tree: ReposGetBranchResponseCommitCommitTree;
-    url: string;
-    verification: ReposGetBranchResponseCommitCommitVerification;
-};
-declare type ReposGetBranchResponseCommitAuthor = {
-    avatar_url: string;
-    gravatar_id: string;
-    id: number;
-    login: string;
-    url: string;
-};
-declare type ReposGetBranchResponseCommit = {
-    author: ReposGetBranchResponseCommitAuthor;
-    commit: ReposGetBranchResponseCommitCommit;
-    committer: ReposGetBranchResponseCommitCommitter;
-    node_id: string;
-    parents: Array<ReposGetBranchResponseCommitParentsItem>;
-    sha: string;
-    url: string;
-};
-declare type ReposGetBranchResponseLinks = {
-    html: string;
-    self: string;
-};
-declare type ReposGetBranchResponse = {
-    _links: ReposGetBranchResponseLinks;
-    commit: ReposGetBranchResponseCommit;
-    name: string;
-    protected: boolean;
-    protection: ReposGetBranchResponseProtection;
-    protection_url: string;
-};
-declare type ReposGetAppsWithAccessToProtectedBranchResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ReposGetAppsWithAccessToProtectedBranchResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ReposGetAppsWithAccessToProtectedBranchResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposGetAppsWithAccessToProtectedBranchResponseItemOwner;
-    permissions: ReposGetAppsWithAccessToProtectedBranchResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ReposGetResponseSourcePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposGetResponseSourceOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetResponseSource = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposGetResponseSourceOwner;
-    permissions: ReposGetResponseSourcePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposGetResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposGetResponseParentPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposGetResponseParentOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetResponseParent = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposGetResponseParentOwner;
-    permissions: ReposGetResponseParentPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposGetResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetResponseOrganization = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposGetResponseLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type ReposGetResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ReposGetResponseLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    organization: ReposGetResponseOrganization;
-    owner: ReposGetResponseOwner;
-    parent: ReposGetResponseParent;
-    permissions: ReposGetResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    source: ReposGetResponseSource;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposEnablePagesSiteResponseSource = {
-    branch: string;
-    directory: string;
-};
-declare type ReposEnablePagesSiteResponse = {
-    cname: string;
-    custom_404: boolean;
-    html_url: string;
-    source: ReposEnablePagesSiteResponseSource;
-    status: string;
-    url: string;
-};
-declare type ReposDeleteFileResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposDeleteFileResponseCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposDeleteFileResponseCommitParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-};
-declare type ReposDeleteFileResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposDeleteFileResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposDeleteFileResponseCommit = {
-    author: ReposDeleteFileResponseCommitAuthor;
-    committer: ReposDeleteFileResponseCommitCommitter;
-    html_url: string;
-    message: string;
-    node_id: string;
-    parents: Array<ReposDeleteFileResponseCommitParentsItem>;
-    sha: string;
-    tree: ReposDeleteFileResponseCommitTree;
-    url: string;
-    verification: ReposDeleteFileResponseCommitVerification;
-};
-declare type ReposDeleteFileResponse = {
-    commit: ReposDeleteFileResponseCommit;
-    content: null;
-};
-declare type ReposDeleteResponse = {
-    documentation_url: string;
-    message: string;
-};
-declare type ReposCreateUsingTemplateResponseTemplateRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposCreateUsingTemplateResponseTemplateRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateUsingTemplateResponseTemplateRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateUsingTemplateResponseTemplateRepositoryOwner;
-    permissions: ReposCreateUsingTemplateResponseTemplateRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposCreateUsingTemplateResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposCreateUsingTemplateResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateUsingTemplateResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateUsingTemplateResponseOwner;
-    permissions: ReposCreateUsingTemplateResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: ReposCreateUsingTemplateResponseTemplateRepository;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposCreateStatusResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateStatusResponse = {
-    avatar_url: string;
-    context: string;
-    created_at: string;
-    creator: ReposCreateStatusResponseCreator;
-    description: string;
-    id: number;
-    node_id: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposCreateReleaseResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateReleaseResponse = {
-    assets: Array<any>;
-    assets_url: string;
-    author: ReposCreateReleaseResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-};
-declare type ReposCreateOrUpdateFileResponseContentLinks = {
-    git: string;
-    html: string;
-    self: string;
-};
-declare type ReposCreateOrUpdateFileResponseContent = {
-    _links: ReposCreateOrUpdateFileResponseContentLinks;
-    download_url: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-};
-declare type ReposCreateOrUpdateFileResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposCreateOrUpdateFileResponseCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposCreateOrUpdateFileResponseCommitParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-};
-declare type ReposCreateOrUpdateFileResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCreateOrUpdateFileResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCreateOrUpdateFileResponseCommit = {
-    author: ReposCreateOrUpdateFileResponseCommitAuthor;
-    committer: ReposCreateOrUpdateFileResponseCommitCommitter;
-    html_url: string;
-    message: string;
-    node_id: string;
-    parents: Array<ReposCreateOrUpdateFileResponseCommitParentsItem>;
-    sha: string;
-    tree: ReposCreateOrUpdateFileResponseCommitTree;
-    url: string;
-    verification: ReposCreateOrUpdateFileResponseCommitVerification;
-};
-declare type ReposCreateOrUpdateFileResponse = {
-    commit: ReposCreateOrUpdateFileResponseCommit;
-    content: ReposCreateOrUpdateFileResponseContent;
-};
-declare type ReposCreateInOrgResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposCreateInOrgResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateInOrgResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateInOrgResponseOwner;
-    permissions: ReposCreateInOrgResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposCreateHookResponseLastResponse = {
-    code: null;
-    message: null;
-    status: string;
-};
-declare type ReposCreateHookResponseConfig = {
-    content_type: string;
-    insecure_ssl: string;
-    url: string;
-};
-declare type ReposCreateHookResponse = {
-    active: boolean;
-    config: ReposCreateHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    last_response: ReposCreateHookResponseLastResponse;
-    name: string;
-    ping_url: string;
-    test_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposCreateForkResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposCreateForkResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateForkResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateForkResponseOwner;
-    permissions: ReposCreateForkResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposCreateForAuthenticatedUserResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ReposCreateForAuthenticatedUserResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateForAuthenticatedUserResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateForAuthenticatedUserResponseOwner;
-    permissions: ReposCreateForAuthenticatedUserResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ReposCreateFileResponseContentLinks = {
-    git: string;
-    html: string;
-    self: string;
-};
-declare type ReposCreateFileResponseContent = {
-    _links: ReposCreateFileResponseContentLinks;
-    download_url: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-};
-declare type ReposCreateFileResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposCreateFileResponseCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposCreateFileResponseCommitParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-};
-declare type ReposCreateFileResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCreateFileResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCreateFileResponseCommit = {
-    author: ReposCreateFileResponseCommitAuthor;
-    committer: ReposCreateFileResponseCommitCommitter;
-    html_url: string;
-    message: string;
-    node_id: string;
-    parents: Array<ReposCreateFileResponseCommitParentsItem>;
-    sha: string;
-    tree: ReposCreateFileResponseCommitTree;
-    url: string;
-    verification: ReposCreateFileResponseCommitVerification;
-};
-declare type ReposCreateFileResponse = {
-    commit: ReposCreateFileResponseCommit;
-    content: ReposCreateFileResponseContent;
-};
-declare type ReposCreateDeploymentStatusResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateDeploymentStatusResponse = {
-    created_at: string;
-    creator: ReposCreateDeploymentStatusResponseCreator;
-    deployment_url: string;
-    description: string;
-    environment: string;
-    environment_url: string;
-    id: number;
-    log_url: string;
-    node_id: string;
-    repository_url: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ReposCreateDeploymentResponsePayload = {
-    deploy: string;
-};
-declare type ReposCreateDeploymentResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateDeploymentResponse = {
-    created_at: string;
-    creator: ReposCreateDeploymentResponseCreator;
-    description: string;
-    environment: string;
-    id: number;
-    node_id: string;
-    original_environment: string;
-    payload: ReposCreateDeploymentResponsePayload;
-    production_environment: boolean;
-    ref: string;
-    repository_url: string;
-    sha: string;
-    statuses_url: string;
-    task: string;
-    transient_environment: boolean;
-    updated_at: string;
-    url: string;
-};
-declare type ReposCreateCommitCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCreateCommitCommentResponse = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposCreateCommitCommentResponseUser;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommitParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommitCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommitCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommitCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommitCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommitCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommitCommit = {
-    author: ReposCompareCommitsResponseMergeBaseCommitCommitAuthor;
-    comment_count: number;
-    committer: ReposCompareCommitsResponseMergeBaseCommitCommitCommitter;
-    message: string;
-    tree: ReposCompareCommitsResponseMergeBaseCommitCommitTree;
-    url: string;
-    verification: ReposCompareCommitsResponseMergeBaseCommitCommitVerification;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommitAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseMergeBaseCommit = {
-    author: ReposCompareCommitsResponseMergeBaseCommitAuthor;
-    comments_url: string;
-    commit: ReposCompareCommitsResponseMergeBaseCommitCommit;
-    committer: ReposCompareCommitsResponseMergeBaseCommitCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposCompareCommitsResponseMergeBaseCommitParentsItem>;
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseFilesItem = {
-    additions: number;
-    blob_url: string;
-    changes: number;
-    contents_url: string;
-    deletions: number;
-    filename: string;
-    patch: string;
-    raw_url: string;
-    sha: string;
-    status: string;
-};
-declare type ReposCompareCommitsResponseCommitsItemParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseCommitsItemCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseCommitsItemCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposCompareCommitsResponseCommitsItemCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseCommitsItemCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCompareCommitsResponseCommitsItemCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCompareCommitsResponseCommitsItemCommit = {
-    author: ReposCompareCommitsResponseCommitsItemCommitAuthor;
-    comment_count: number;
-    committer: ReposCompareCommitsResponseCommitsItemCommitCommitter;
-    message: string;
-    tree: ReposCompareCommitsResponseCommitsItemCommitTree;
-    url: string;
-    verification: ReposCompareCommitsResponseCommitsItemCommitVerification;
-};
-declare type ReposCompareCommitsResponseCommitsItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseCommitsItem = {
-    author: ReposCompareCommitsResponseCommitsItemAuthor;
-    comments_url: string;
-    commit: ReposCompareCommitsResponseCommitsItemCommit;
-    committer: ReposCompareCommitsResponseCommitsItemCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposCompareCommitsResponseCommitsItemParentsItem>;
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseBaseCommitParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseBaseCommitCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseBaseCommitCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type ReposCompareCommitsResponseBaseCommitCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseBaseCommitCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCompareCommitsResponseBaseCommitCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type ReposCompareCommitsResponseBaseCommitCommit = {
-    author: ReposCompareCommitsResponseBaseCommitCommitAuthor;
-    comment_count: number;
-    committer: ReposCompareCommitsResponseBaseCommitCommitCommitter;
-    message: string;
-    tree: ReposCompareCommitsResponseBaseCommitCommitTree;
-    url: string;
-    verification: ReposCompareCommitsResponseBaseCommitCommitVerification;
-};
-declare type ReposCompareCommitsResponseBaseCommitAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponseBaseCommit = {
-    author: ReposCompareCommitsResponseBaseCommitAuthor;
-    comments_url: string;
-    commit: ReposCompareCommitsResponseBaseCommitCommit;
-    committer: ReposCompareCommitsResponseBaseCommitCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposCompareCommitsResponseBaseCommitParentsItem>;
-    sha: string;
-    url: string;
-};
-declare type ReposCompareCommitsResponse = {
-    ahead_by: number;
-    base_commit: ReposCompareCommitsResponseBaseCommit;
-    behind_by: number;
-    commits: Array<ReposCompareCommitsResponseCommitsItem>;
-    diff_url: string;
-    files: Array<ReposCompareCommitsResponseFilesItem>;
-    html_url: string;
-    merge_base_commit: ReposCompareCommitsResponseMergeBaseCommit;
-    patch_url: string;
-    permalink_url: string;
-    status: string;
-    total_commits: number;
-    url: string;
-};
-declare type ReposAddProtectedBranchUserRestrictionsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposAddProtectedBranchTeamRestrictionsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type ReposAddProtectedBranchRequiredSignaturesResponse = {
-    enabled: boolean;
-    url: string;
-};
-declare type ReposAddProtectedBranchAppRestrictionsResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ReposAddProtectedBranchAppRestrictionsResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ReposAddProtectedBranchAppRestrictionsResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposAddProtectedBranchAppRestrictionsResponseItemOwner;
-    permissions: ReposAddProtectedBranchAppRestrictionsResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ReposAddProtectedBranchAdminEnforcementResponse = {
-    enabled: boolean;
-    url: string;
-};
-declare type ReposAddDeployKeyResponse = {
-    created_at: string;
-    id: number;
-    key: string;
-    read_only: boolean;
-    title: string;
-    url: string;
-    verified: boolean;
-};
-declare type ReposAddCollaboratorResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposAddCollaboratorResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposAddCollaboratorResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ReposAddCollaboratorResponseInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposAddCollaboratorResponseInvitee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReposAddCollaboratorResponse = {
-    created_at: string;
-    html_url: string;
-    id: number;
-    invitee: ReposAddCollaboratorResponseInvitee;
-    inviter: ReposAddCollaboratorResponseInviter;
-    permissions: string;
-    repository: ReposAddCollaboratorResponseRepository;
-    url: string;
-};
-declare type ReactionsListForTeamDiscussionLegacyResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForTeamDiscussionLegacyResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionLegacyResponseItemUser;
-};
-declare type ReactionsListForTeamDiscussionInOrgResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForTeamDiscussionInOrgResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionInOrgResponseItemUser;
-};
-declare type ReactionsListForTeamDiscussionCommentLegacyResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForTeamDiscussionCommentLegacyResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionCommentLegacyResponseItemUser;
-};
-declare type ReactionsListForTeamDiscussionCommentInOrgResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForTeamDiscussionCommentInOrgResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionCommentInOrgResponseItemUser;
-};
-declare type ReactionsListForTeamDiscussionCommentResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForTeamDiscussionCommentResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionCommentResponseItemUser;
-};
-declare type ReactionsListForTeamDiscussionResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForTeamDiscussionResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionResponseItemUser;
-};
-declare type ReactionsListForPullRequestReviewCommentResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForPullRequestReviewCommentResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForPullRequestReviewCommentResponseItemUser;
-};
-declare type ReactionsListForIssueCommentResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForIssueCommentResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForIssueCommentResponseItemUser;
-};
-declare type ReactionsListForIssueResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForIssueResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForIssueResponseItemUser;
-};
-declare type ReactionsListForCommitCommentResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsListForCommitCommentResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForCommitCommentResponseItemUser;
-};
-declare type ReactionsCreateForTeamDiscussionLegacyResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForTeamDiscussionLegacyResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionLegacyResponseUser;
-};
-declare type ReactionsCreateForTeamDiscussionInOrgResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForTeamDiscussionInOrgResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionInOrgResponseUser;
-};
-declare type ReactionsCreateForTeamDiscussionCommentLegacyResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForTeamDiscussionCommentLegacyResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionCommentLegacyResponseUser;
-};
-declare type ReactionsCreateForTeamDiscussionCommentInOrgResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForTeamDiscussionCommentInOrgResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionCommentInOrgResponseUser;
-};
-declare type ReactionsCreateForTeamDiscussionCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForTeamDiscussionCommentResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionCommentResponseUser;
-};
-declare type ReactionsCreateForTeamDiscussionResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForTeamDiscussionResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionResponseUser;
-};
-declare type ReactionsCreateForPullRequestReviewCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForPullRequestReviewCommentResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForPullRequestReviewCommentResponseUser;
-};
-declare type ReactionsCreateForIssueCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForIssueCommentResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForIssueCommentResponseUser;
-};
-declare type ReactionsCreateForIssueResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForIssueResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForIssueResponseUser;
-};
-declare type ReactionsCreateForCommitCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ReactionsCreateForCommitCommentResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForCommitCommentResponseUser;
-};
-declare type RateLimitGetResponseResourcesSearch = {
-    limit: number;
-    remaining: number;
-    reset: number;
-};
-declare type RateLimitGetResponseResourcesIntegrationManifest = {
-    limit: number;
-    remaining: number;
-    reset: number;
-};
-declare type RateLimitGetResponseResourcesGraphql = {
-    limit: number;
-    remaining: number;
-    reset: number;
-};
-declare type RateLimitGetResponseResourcesCore = {
-    limit: number;
-    remaining: number;
-    reset: number;
-};
-declare type RateLimitGetResponseResources = {
-    core: RateLimitGetResponseResourcesCore;
-    graphql: RateLimitGetResponseResourcesGraphql;
-    integration_manifest: RateLimitGetResponseResourcesIntegrationManifest;
-    search: RateLimitGetResponseResourcesSearch;
-};
-declare type RateLimitGetResponseRate = {
-    limit: number;
-    remaining: number;
-    reset: number;
-};
-declare type RateLimitGetResponse = {
-    rate: RateLimitGetResponseRate;
-    resources: RateLimitGetResponseResources;
-};
-declare type PullsUpdateReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateReviewResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsUpdateReviewResponseLinksHtml = {
-    href: string;
-};
-declare type PullsUpdateReviewResponseLinks = {
-    html: PullsUpdateReviewResponseLinksHtml;
-    pull_request: PullsUpdateReviewResponseLinksPullRequest;
-};
-declare type PullsUpdateReviewResponse = {
-    _links: PullsUpdateReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    user: PullsUpdateReviewResponseUser;
-};
-declare type PullsUpdateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateCommentResponseLinksSelf = {
-    href: string;
-};
-declare type PullsUpdateCommentResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsUpdateCommentResponseLinksHtml = {
-    href: string;
-};
-declare type PullsUpdateCommentResponseLinks = {
-    html: PullsUpdateCommentResponseLinksHtml;
-    pull_request: PullsUpdateCommentResponseLinksPullRequest;
-    self: PullsUpdateCommentResponseLinksSelf;
-};
-declare type PullsUpdateCommentResponse = {
-    _links: PullsUpdateCommentResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsUpdateCommentResponseUser;
-};
-declare type PullsUpdateBranchResponse = {
-    message: string;
-    url: string;
-};
-declare type PullsUpdateResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type PullsUpdateResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsUpdateResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type PullsUpdateResponseMergedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type PullsUpdateResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsUpdateResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsUpdateResponseHeadRepoOwner;
-    permissions: PullsUpdateResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsUpdateResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsUpdateResponseHeadRepo;
-    sha: string;
-    user: PullsUpdateResponseHeadUser;
-};
-declare type PullsUpdateResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsUpdateResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsUpdateResponseBaseRepoOwner;
-    permissions: PullsUpdateResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsUpdateResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsUpdateResponseBaseRepo;
-    sha: string;
-    user: PullsUpdateResponseBaseUser;
-};
-declare type PullsUpdateResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsUpdateResponseLinksStatuses = {
-    href: string;
-};
-declare type PullsUpdateResponseLinksSelf = {
-    href: string;
-};
-declare type PullsUpdateResponseLinksReviewComments = {
-    href: string;
-};
-declare type PullsUpdateResponseLinksReviewComment = {
-    href: string;
-};
-declare type PullsUpdateResponseLinksIssue = {
-    href: string;
-};
-declare type PullsUpdateResponseLinksHtml = {
-    href: string;
-};
-declare type PullsUpdateResponseLinksCommits = {
-    href: string;
-};
-declare type PullsUpdateResponseLinksComments = {
-    href: string;
-};
-declare type PullsUpdateResponseLinks = {
-    comments: PullsUpdateResponseLinksComments;
-    commits: PullsUpdateResponseLinksCommits;
-    html: PullsUpdateResponseLinksHtml;
-    issue: PullsUpdateResponseLinksIssue;
-    review_comment: PullsUpdateResponseLinksReviewComment;
-    review_comments: PullsUpdateResponseLinksReviewComments;
-    self: PullsUpdateResponseLinksSelf;
-    statuses: PullsUpdateResponseLinksStatuses;
-};
-declare type PullsUpdateResponse = {
-    _links: PullsUpdateResponseLinks;
-    active_lock_reason: string;
-    additions: number;
-    assignee: PullsUpdateResponseAssignee;
-    assignees: Array<PullsUpdateResponseAssigneesItem>;
-    author_association: string;
-    base: PullsUpdateResponseBase;
-    body: string;
-    changed_files: number;
-    closed_at: string;
-    comments: number;
-    comments_url: string;
-    commits: number;
-    commits_url: string;
-    created_at: string;
-    deletions: number;
-    diff_url: string;
-    draft: boolean;
-    head: PullsUpdateResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsUpdateResponseLabelsItem>;
-    locked: boolean;
-    maintainer_can_modify: boolean;
-    merge_commit_sha: string;
-    mergeable: boolean;
-    mergeable_state: string;
-    merged: boolean;
-    merged_at: string;
-    merged_by: PullsUpdateResponseMergedBy;
-    milestone: PullsUpdateResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    rebaseable: boolean;
-    requested_reviewers: Array<PullsUpdateResponseRequestedReviewersItem>;
-    requested_teams: Array<PullsUpdateResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments: number;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsUpdateResponseUser;
-};
-declare type PullsSubmitReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsSubmitReviewResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsSubmitReviewResponseLinksHtml = {
-    href: string;
-};
-declare type PullsSubmitReviewResponseLinks = {
-    html: PullsSubmitReviewResponseLinksHtml;
-    pull_request: PullsSubmitReviewResponseLinksPullRequest;
-};
-declare type PullsSubmitReviewResponse = {
-    _links: PullsSubmitReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    submitted_at: string;
-    user: PullsSubmitReviewResponseUser;
-};
-declare type PullsMergeResponse = {
-    merged: boolean;
-    message: string;
-    sha: string;
-};
-declare type PullsListReviewsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListReviewsResponseItemLinksPullRequest = {
-    href: string;
-};
-declare type PullsListReviewsResponseItemLinksHtml = {
-    href: string;
-};
-declare type PullsListReviewsResponseItemLinks = {
-    html: PullsListReviewsResponseItemLinksHtml;
-    pull_request: PullsListReviewsResponseItemLinksPullRequest;
-};
-declare type PullsListReviewsResponseItem = {
-    _links: PullsListReviewsResponseItemLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    submitted_at: string;
-    user: PullsListReviewsResponseItemUser;
-};
-declare type PullsListReviewRequestsResponseUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListReviewRequestsResponseTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type PullsListReviewRequestsResponse = {
-    teams: Array<PullsListReviewRequestsResponseTeamsItem>;
-    users: Array<PullsListReviewRequestsResponseUsersItem>;
-};
-declare type PullsListFilesResponseItem = {
-    additions: number;
-    blob_url: string;
-    changes: number;
-    contents_url: string;
-    deletions: number;
-    filename: string;
-    patch: string;
-    raw_url: string;
-    sha: string;
-    status: string;
-};
-declare type PullsListCommitsResponseItemParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type PullsListCommitsResponseItemCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListCommitsResponseItemCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type PullsListCommitsResponseItemCommitTree = {
-    sha: string;
-    url: string;
-};
-declare type PullsListCommitsResponseItemCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type PullsListCommitsResponseItemCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type PullsListCommitsResponseItemCommit = {
-    author: PullsListCommitsResponseItemCommitAuthor;
-    comment_count: number;
-    committer: PullsListCommitsResponseItemCommitCommitter;
-    message: string;
-    tree: PullsListCommitsResponseItemCommitTree;
-    url: string;
-    verification: PullsListCommitsResponseItemCommitVerification;
-};
-declare type PullsListCommitsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListCommitsResponseItem = {
-    author: PullsListCommitsResponseItemAuthor;
-    comments_url: string;
-    commit: PullsListCommitsResponseItemCommit;
-    committer: PullsListCommitsResponseItemCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<PullsListCommitsResponseItemParentsItem>;
-    sha: string;
-    url: string;
-};
-declare type PullsListCommentsForRepoResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListCommentsForRepoResponseItemLinksSelf = {
-    href: string;
-};
-declare type PullsListCommentsForRepoResponseItemLinksPullRequest = {
-    href: string;
-};
-declare type PullsListCommentsForRepoResponseItemLinksHtml = {
-    href: string;
-};
-declare type PullsListCommentsForRepoResponseItemLinks = {
-    html: PullsListCommentsForRepoResponseItemLinksHtml;
-    pull_request: PullsListCommentsForRepoResponseItemLinksPullRequest;
-    self: PullsListCommentsForRepoResponseItemLinksSelf;
-};
-declare type PullsListCommentsForRepoResponseItem = {
-    _links: PullsListCommentsForRepoResponseItemLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsListCommentsForRepoResponseItemUser;
-};
-declare type PullsListCommentsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListCommentsResponseItemLinksSelf = {
-    href: string;
-};
-declare type PullsListCommentsResponseItemLinksPullRequest = {
-    href: string;
-};
-declare type PullsListCommentsResponseItemLinksHtml = {
-    href: string;
-};
-declare type PullsListCommentsResponseItemLinks = {
-    html: PullsListCommentsResponseItemLinksHtml;
-    pull_request: PullsListCommentsResponseItemLinksPullRequest;
-    self: PullsListCommentsResponseItemLinksSelf;
-};
-declare type PullsListCommentsResponseItem = {
-    _links: PullsListCommentsResponseItemLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsListCommentsResponseItemUser;
-};
-declare type PullsListResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type PullsListResponseItemRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsListResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type PullsListResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type PullsListResponseItemHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsListResponseItemHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsListResponseItemHeadRepoOwner;
-    permissions: PullsListResponseItemHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsListResponseItemHead = {
-    label: string;
-    ref: string;
-    repo: PullsListResponseItemHeadRepo;
-    sha: string;
-    user: PullsListResponseItemHeadUser;
-};
-declare type PullsListResponseItemBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsListResponseItemBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsListResponseItemBaseRepoOwner;
-    permissions: PullsListResponseItemBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsListResponseItemBase = {
-    label: string;
-    ref: string;
-    repo: PullsListResponseItemBaseRepo;
-    sha: string;
-    user: PullsListResponseItemBaseUser;
-};
-declare type PullsListResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsListResponseItemLinksStatuses = {
-    href: string;
-};
-declare type PullsListResponseItemLinksSelf = {
-    href: string;
-};
-declare type PullsListResponseItemLinksReviewComments = {
-    href: string;
-};
-declare type PullsListResponseItemLinksReviewComment = {
-    href: string;
-};
-declare type PullsListResponseItemLinksIssue = {
-    href: string;
-};
-declare type PullsListResponseItemLinksHtml = {
-    href: string;
-};
-declare type PullsListResponseItemLinksCommits = {
-    href: string;
-};
-declare type PullsListResponseItemLinksComments = {
-    href: string;
-};
-declare type PullsListResponseItemLinks = {
-    comments: PullsListResponseItemLinksComments;
-    commits: PullsListResponseItemLinksCommits;
-    html: PullsListResponseItemLinksHtml;
-    issue: PullsListResponseItemLinksIssue;
-    review_comment: PullsListResponseItemLinksReviewComment;
-    review_comments: PullsListResponseItemLinksReviewComments;
-    self: PullsListResponseItemLinksSelf;
-    statuses: PullsListResponseItemLinksStatuses;
-};
-declare type PullsListResponseItem = {
-    _links: PullsListResponseItemLinks;
-    active_lock_reason: string;
-    assignee: PullsListResponseItemAssignee;
-    assignees: Array<PullsListResponseItemAssigneesItem>;
-    author_association: string;
-    base: PullsListResponseItemBase;
-    body: string;
-    closed_at: string;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    diff_url: string;
-    draft: boolean;
-    head: PullsListResponseItemHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsListResponseItemLabelsItem>;
-    locked: boolean;
-    merge_commit_sha: string;
-    merged_at: string;
-    milestone: PullsListResponseItemMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    requested_reviewers: Array<PullsListResponseItemRequestedReviewersItem>;
-    requested_teams: Array<PullsListResponseItemRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsListResponseItemUser;
-};
-declare type PullsGetReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetReviewResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsGetReviewResponseLinksHtml = {
-    href: string;
-};
-declare type PullsGetReviewResponseLinks = {
-    html: PullsGetReviewResponseLinksHtml;
-    pull_request: PullsGetReviewResponseLinksPullRequest;
-};
-declare type PullsGetReviewResponse = {
-    _links: PullsGetReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    submitted_at: string;
-    user: PullsGetReviewResponseUser;
-};
-declare type PullsGetCommentsForReviewResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetCommentsForReviewResponseItemLinksSelf = {
-    href: string;
-};
-declare type PullsGetCommentsForReviewResponseItemLinksPullRequest = {
-    href: string;
-};
-declare type PullsGetCommentsForReviewResponseItemLinksHtml = {
-    href: string;
-};
-declare type PullsGetCommentsForReviewResponseItemLinks = {
-    html: PullsGetCommentsForReviewResponseItemLinksHtml;
-    pull_request: PullsGetCommentsForReviewResponseItemLinksPullRequest;
-    self: PullsGetCommentsForReviewResponseItemLinksSelf;
-};
-declare type PullsGetCommentsForReviewResponseItem = {
-    _links: PullsGetCommentsForReviewResponseItemLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    node_id: string;
-    original_commit_id: string;
-    original_position: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    updated_at: string;
-    url: string;
-    user: PullsGetCommentsForReviewResponseItemUser;
-};
-declare type PullsGetCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetCommentResponseLinksSelf = {
-    href: string;
-};
-declare type PullsGetCommentResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsGetCommentResponseLinksHtml = {
-    href: string;
-};
-declare type PullsGetCommentResponseLinks = {
-    html: PullsGetCommentResponseLinksHtml;
-    pull_request: PullsGetCommentResponseLinksPullRequest;
-    self: PullsGetCommentResponseLinksSelf;
-};
-declare type PullsGetCommentResponse = {
-    _links: PullsGetCommentResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsGetCommentResponseUser;
-};
-declare type PullsGetResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type PullsGetResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsGetResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type PullsGetResponseMergedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type PullsGetResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsGetResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsGetResponseHeadRepoOwner;
-    permissions: PullsGetResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsGetResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsGetResponseHeadRepo;
-    sha: string;
-    user: PullsGetResponseHeadUser;
-};
-declare type PullsGetResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsGetResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsGetResponseBaseRepoOwner;
-    permissions: PullsGetResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsGetResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsGetResponseBaseRepo;
-    sha: string;
-    user: PullsGetResponseBaseUser;
-};
-declare type PullsGetResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsGetResponseLinksStatuses = {
-    href: string;
-};
-declare type PullsGetResponseLinksSelf = {
-    href: string;
-};
-declare type PullsGetResponseLinksReviewComments = {
-    href: string;
-};
-declare type PullsGetResponseLinksReviewComment = {
-    href: string;
-};
-declare type PullsGetResponseLinksIssue = {
-    href: string;
-};
-declare type PullsGetResponseLinksHtml = {
-    href: string;
-};
-declare type PullsGetResponseLinksCommits = {
-    href: string;
-};
-declare type PullsGetResponseLinksComments = {
-    href: string;
-};
-declare type PullsGetResponseLinks = {
-    comments: PullsGetResponseLinksComments;
-    commits: PullsGetResponseLinksCommits;
-    html: PullsGetResponseLinksHtml;
-    issue: PullsGetResponseLinksIssue;
-    review_comment: PullsGetResponseLinksReviewComment;
-    review_comments: PullsGetResponseLinksReviewComments;
-    self: PullsGetResponseLinksSelf;
-    statuses: PullsGetResponseLinksStatuses;
-};
-declare type PullsGetResponse = {
-    _links: PullsGetResponseLinks;
-    active_lock_reason: string;
-    additions: number;
-    assignee: PullsGetResponseAssignee;
-    assignees: Array<PullsGetResponseAssigneesItem>;
-    author_association: string;
-    base: PullsGetResponseBase;
-    body: string;
-    changed_files: number;
-    closed_at: string;
-    comments: number;
-    comments_url: string;
-    commits: number;
-    commits_url: string;
-    created_at: string;
-    deletions: number;
-    diff_url: string;
-    draft: boolean;
-    head: PullsGetResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsGetResponseLabelsItem>;
-    locked: boolean;
-    maintainer_can_modify: boolean;
-    merge_commit_sha: string;
-    mergeable: boolean;
-    mergeable_state: string;
-    merged: boolean;
-    merged_at: string;
-    merged_by: PullsGetResponseMergedBy;
-    milestone: PullsGetResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    rebaseable: boolean;
-    requested_reviewers: Array<PullsGetResponseRequestedReviewersItem>;
-    requested_teams: Array<PullsGetResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments: number;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsGetResponseUser;
-};
-declare type PullsDismissReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsDismissReviewResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsDismissReviewResponseLinksHtml = {
-    href: string;
-};
-declare type PullsDismissReviewResponseLinks = {
-    html: PullsDismissReviewResponseLinksHtml;
-    pull_request: PullsDismissReviewResponseLinksPullRequest;
-};
-declare type PullsDismissReviewResponse = {
-    _links: PullsDismissReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    user: PullsDismissReviewResponseUser;
-};
-declare type PullsDeletePendingReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsDeletePendingReviewResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsDeletePendingReviewResponseLinksHtml = {
-    href: string;
-};
-declare type PullsDeletePendingReviewResponseLinks = {
-    html: PullsDeletePendingReviewResponseLinksHtml;
-    pull_request: PullsDeletePendingReviewResponseLinksPullRequest;
-};
-declare type PullsDeletePendingReviewResponse = {
-    _links: PullsDeletePendingReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    user: PullsDeletePendingReviewResponseUser;
-};
-declare type PullsCreateReviewRequestResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsCreateReviewRequestResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsCreateReviewRequestResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateReviewRequestResponseHeadRepoOwner;
-    permissions: PullsCreateReviewRequestResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsCreateReviewRequestResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsCreateReviewRequestResponseHeadRepo;
-    sha: string;
-    user: PullsCreateReviewRequestResponseHeadUser;
-};
-declare type PullsCreateReviewRequestResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsCreateReviewRequestResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateReviewRequestResponseBaseRepoOwner;
-    permissions: PullsCreateReviewRequestResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsCreateReviewRequestResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsCreateReviewRequestResponseBaseRepo;
-    sha: string;
-    user: PullsCreateReviewRequestResponseBaseUser;
-};
-declare type PullsCreateReviewRequestResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewRequestResponseLinksStatuses = {
-    href: string;
-};
-declare type PullsCreateReviewRequestResponseLinksSelf = {
-    href: string;
-};
-declare type PullsCreateReviewRequestResponseLinksReviewComments = {
-    href: string;
-};
-declare type PullsCreateReviewRequestResponseLinksReviewComment = {
-    href: string;
-};
-declare type PullsCreateReviewRequestResponseLinksIssue = {
-    href: string;
-};
-declare type PullsCreateReviewRequestResponseLinksHtml = {
-    href: string;
-};
-declare type PullsCreateReviewRequestResponseLinksCommits = {
-    href: string;
-};
-declare type PullsCreateReviewRequestResponseLinksComments = {
-    href: string;
-};
-declare type PullsCreateReviewRequestResponseLinks = {
-    comments: PullsCreateReviewRequestResponseLinksComments;
-    commits: PullsCreateReviewRequestResponseLinksCommits;
-    html: PullsCreateReviewRequestResponseLinksHtml;
-    issue: PullsCreateReviewRequestResponseLinksIssue;
-    review_comment: PullsCreateReviewRequestResponseLinksReviewComment;
-    review_comments: PullsCreateReviewRequestResponseLinksReviewComments;
-    self: PullsCreateReviewRequestResponseLinksSelf;
-    statuses: PullsCreateReviewRequestResponseLinksStatuses;
-};
-declare type PullsCreateReviewRequestResponse = {
-    _links: PullsCreateReviewRequestResponseLinks;
-    active_lock_reason: string;
-    assignee: PullsCreateReviewRequestResponseAssignee;
-    assignees: Array<PullsCreateReviewRequestResponseAssigneesItem>;
-    author_association: string;
-    base: PullsCreateReviewRequestResponseBase;
-    body: string;
-    closed_at: string;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    diff_url: string;
-    draft: boolean;
-    head: PullsCreateReviewRequestResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsCreateReviewRequestResponseLabelsItem>;
-    locked: boolean;
-    merge_commit_sha: string;
-    merged_at: string;
-    milestone: PullsCreateReviewRequestResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    requested_reviewers: Array<PullsCreateReviewRequestResponseRequestedReviewersItem>;
-    requested_teams: Array<PullsCreateReviewRequestResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateReviewRequestResponseUser;
-};
-declare type PullsCreateReviewCommentReplyResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewCommentReplyResponseLinksSelf = {
-    href: string;
-};
-declare type PullsCreateReviewCommentReplyResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsCreateReviewCommentReplyResponseLinksHtml = {
-    href: string;
-};
-declare type PullsCreateReviewCommentReplyResponseLinks = {
-    html: PullsCreateReviewCommentReplyResponseLinksHtml;
-    pull_request: PullsCreateReviewCommentReplyResponseLinksPullRequest;
-    self: PullsCreateReviewCommentReplyResponseLinksSelf;
-};
-declare type PullsCreateReviewCommentReplyResponse = {
-    _links: PullsCreateReviewCommentReplyResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    original_commit_id: string;
-    original_position: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateReviewCommentReplyResponseUser;
-};
-declare type PullsCreateReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateReviewResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsCreateReviewResponseLinksHtml = {
-    href: string;
-};
-declare type PullsCreateReviewResponseLinks = {
-    html: PullsCreateReviewResponseLinksHtml;
-    pull_request: PullsCreateReviewResponseLinksPullRequest;
-};
-declare type PullsCreateReviewResponse = {
-    _links: PullsCreateReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    user: PullsCreateReviewResponseUser;
-};
-declare type PullsCreateFromIssueResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsCreateFromIssueResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseMergedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsCreateFromIssueResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateFromIssueResponseHeadRepoOwner;
-    permissions: PullsCreateFromIssueResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsCreateFromIssueResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsCreateFromIssueResponseHeadRepo;
-    sha: string;
-    user: PullsCreateFromIssueResponseHeadUser;
-};
-declare type PullsCreateFromIssueResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsCreateFromIssueResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateFromIssueResponseBaseRepoOwner;
-    permissions: PullsCreateFromIssueResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsCreateFromIssueResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsCreateFromIssueResponseBaseRepo;
-    sha: string;
-    user: PullsCreateFromIssueResponseBaseUser;
-};
-declare type PullsCreateFromIssueResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateFromIssueResponseLinksStatuses = {
-    href: string;
-};
-declare type PullsCreateFromIssueResponseLinksSelf = {
-    href: string;
-};
-declare type PullsCreateFromIssueResponseLinksReviewComments = {
-    href: string;
-};
-declare type PullsCreateFromIssueResponseLinksReviewComment = {
-    href: string;
-};
-declare type PullsCreateFromIssueResponseLinksIssue = {
-    href: string;
-};
-declare type PullsCreateFromIssueResponseLinksHtml = {
-    href: string;
-};
-declare type PullsCreateFromIssueResponseLinksCommits = {
-    href: string;
-};
-declare type PullsCreateFromIssueResponseLinksComments = {
-    href: string;
-};
-declare type PullsCreateFromIssueResponseLinks = {
-    comments: PullsCreateFromIssueResponseLinksComments;
-    commits: PullsCreateFromIssueResponseLinksCommits;
-    html: PullsCreateFromIssueResponseLinksHtml;
-    issue: PullsCreateFromIssueResponseLinksIssue;
-    review_comment: PullsCreateFromIssueResponseLinksReviewComment;
-    review_comments: PullsCreateFromIssueResponseLinksReviewComments;
-    self: PullsCreateFromIssueResponseLinksSelf;
-    statuses: PullsCreateFromIssueResponseLinksStatuses;
-};
-declare type PullsCreateFromIssueResponse = {
-    _links: PullsCreateFromIssueResponseLinks;
-    active_lock_reason: string;
-    additions: number;
-    assignee: PullsCreateFromIssueResponseAssignee;
-    assignees: Array<PullsCreateFromIssueResponseAssigneesItem>;
-    author_association: string;
-    base: PullsCreateFromIssueResponseBase;
-    body: string;
-    changed_files: number;
-    closed_at: string;
-    comments: number;
-    comments_url: string;
-    commits: number;
-    commits_url: string;
-    created_at: string;
-    deletions: number;
-    diff_url: string;
-    draft: boolean;
-    head: PullsCreateFromIssueResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsCreateFromIssueResponseLabelsItem>;
-    locked: boolean;
-    maintainer_can_modify: boolean;
-    merge_commit_sha: string;
-    mergeable: boolean;
-    mergeable_state: string;
-    merged: boolean;
-    merged_at: string;
-    merged_by: PullsCreateFromIssueResponseMergedBy;
-    milestone: PullsCreateFromIssueResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    rebaseable: boolean;
-    requested_reviewers: Array<PullsCreateFromIssueResponseRequestedReviewersItem>;
-    requested_teams: Array<PullsCreateFromIssueResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments: number;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateFromIssueResponseUser;
-};
-declare type PullsCreateCommentReplyResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateCommentReplyResponseLinksSelf = {
-    href: string;
-};
-declare type PullsCreateCommentReplyResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsCreateCommentReplyResponseLinksHtml = {
-    href: string;
-};
-declare type PullsCreateCommentReplyResponseLinks = {
-    html: PullsCreateCommentReplyResponseLinksHtml;
-    pull_request: PullsCreateCommentReplyResponseLinksPullRequest;
-    self: PullsCreateCommentReplyResponseLinksSelf;
-};
-declare type PullsCreateCommentReplyResponse = {
-    _links: PullsCreateCommentReplyResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateCommentReplyResponseUser;
-};
-declare type PullsCreateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateCommentResponseLinksSelf = {
-    href: string;
-};
-declare type PullsCreateCommentResponseLinksPullRequest = {
-    href: string;
-};
-declare type PullsCreateCommentResponseLinksHtml = {
-    href: string;
-};
-declare type PullsCreateCommentResponseLinks = {
-    html: PullsCreateCommentResponseLinksHtml;
-    pull_request: PullsCreateCommentResponseLinksPullRequest;
-    self: PullsCreateCommentResponseLinksSelf;
-};
-declare type PullsCreateCommentResponse = {
-    _links: PullsCreateCommentResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateCommentResponseUser;
-};
-declare type PullsCreateResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type PullsCreateResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsCreateResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type PullsCreateResponseMergedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type PullsCreateResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsCreateResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateResponseHeadRepoOwner;
-    permissions: PullsCreateResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsCreateResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsCreateResponseHeadRepo;
-    sha: string;
-    user: PullsCreateResponseHeadUser;
-};
-declare type PullsCreateResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type PullsCreateResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateResponseBaseRepoOwner;
-    permissions: PullsCreateResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type PullsCreateResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsCreateResponseBaseRepo;
-    sha: string;
-    user: PullsCreateResponseBaseUser;
-};
-declare type PullsCreateResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type PullsCreateResponseLinksStatuses = {
-    href: string;
-};
-declare type PullsCreateResponseLinksSelf = {
-    href: string;
-};
-declare type PullsCreateResponseLinksReviewComments = {
-    href: string;
-};
-declare type PullsCreateResponseLinksReviewComment = {
-    href: string;
-};
-declare type PullsCreateResponseLinksIssue = {
-    href: string;
-};
-declare type PullsCreateResponseLinksHtml = {
-    href: string;
-};
-declare type PullsCreateResponseLinksCommits = {
-    href: string;
-};
-declare type PullsCreateResponseLinksComments = {
-    href: string;
-};
-declare type PullsCreateResponseLinks = {
-    comments: PullsCreateResponseLinksComments;
-    commits: PullsCreateResponseLinksCommits;
-    html: PullsCreateResponseLinksHtml;
-    issue: PullsCreateResponseLinksIssue;
-    review_comment: PullsCreateResponseLinksReviewComment;
-    review_comments: PullsCreateResponseLinksReviewComments;
-    self: PullsCreateResponseLinksSelf;
-    statuses: PullsCreateResponseLinksStatuses;
-};
-declare type PullsCreateResponse = {
-    _links: PullsCreateResponseLinks;
-    active_lock_reason: string;
-    additions: number;
-    assignee: PullsCreateResponseAssignee;
-    assignees: Array<PullsCreateResponseAssigneesItem>;
-    author_association: string;
-    base: PullsCreateResponseBase;
-    body: string;
-    changed_files: number;
-    closed_at: string;
-    comments: number;
-    comments_url: string;
-    commits: number;
-    commits_url: string;
-    created_at: string;
-    deletions: number;
-    diff_url: string;
-    draft: boolean;
-    head: PullsCreateResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsCreateResponseLabelsItem>;
-    locked: boolean;
-    maintainer_can_modify: boolean;
-    merge_commit_sha: string;
-    mergeable: boolean;
-    mergeable_state: string;
-    merged: boolean;
-    merged_at: string;
-    merged_by: PullsCreateResponseMergedBy;
-    milestone: PullsCreateResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    rebaseable: boolean;
-    requested_reviewers: Array<PullsCreateResponseRequestedReviewersItem>;
-    requested_teams: Array<PullsCreateResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments: number;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateResponseUser;
-};
-declare type ProjectsUpdateColumnResponse = {
-    cards_url: string;
-    created_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsUpdateCardResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsUpdateCardResponse = {
-    archived: boolean;
-    column_url: string;
-    content_url: string;
-    created_at: string;
-    creator: ProjectsUpdateCardResponseCreator;
-    id: number;
-    node_id: string;
-    note: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsUpdateResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsUpdateResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsUpdateResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsReviewUserPermissionLevelResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsReviewUserPermissionLevelResponse = {
-    permission: string;
-    user: ProjectsReviewUserPermissionLevelResponseUser;
-};
-declare type ProjectsListForUserResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsListForUserResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsListForUserResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsListForRepoResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsListForRepoResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsListForRepoResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsListForOrgResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsListForOrgResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsListForOrgResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsListColumnsResponseItem = {
-    cards_url: string;
-    created_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsListCollaboratorsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsListCardsResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsListCardsResponseItem = {
-    archived: boolean;
-    column_url: string;
-    content_url: string;
-    created_at: string;
-    creator: ProjectsListCardsResponseItemCreator;
-    id: number;
-    node_id: string;
-    note: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsGetColumnResponse = {
-    cards_url: string;
-    created_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsGetCardResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsGetCardResponse = {
-    archived: boolean;
-    column_url: string;
-    content_url: string;
-    created_at: string;
-    creator: ProjectsGetCardResponseCreator;
-    id: number;
-    node_id: string;
-    note: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsGetResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsGetResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsGetResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsCreateForRepoResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsCreateForRepoResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsCreateForRepoResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsCreateForOrgResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsCreateForOrgResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsCreateForOrgResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsCreateForAuthenticatedUserResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsCreateForAuthenticatedUserResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsCreateForAuthenticatedUserResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsCreateColumnResponse = {
-    cards_url: string;
-    created_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type ProjectsCreateCardResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ProjectsCreateCardResponse = {
-    archived: boolean;
-    column_url: string;
-    content_url: string;
-    created_at: string;
-    creator: ProjectsCreateCardResponseCreator;
-    id: number;
-    node_id: string;
-    note: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type OrgsUpdateMembershipResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsUpdateMembershipResponseOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type OrgsUpdateMembershipResponse = {
-    organization: OrgsUpdateMembershipResponseOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsUpdateMembershipResponseUser;
-};
-declare type OrgsUpdateHookResponseConfig = {
-    content_type: string;
-    url: string;
-};
-declare type OrgsUpdateHookResponse = {
-    active: boolean;
-    config: OrgsUpdateHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    name: string;
-    ping_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type OrgsUpdateResponsePlan = {
-    name: string;
-    private_repos: number;
-    space: number;
-};
-declare type OrgsUpdateResponse = {
-    avatar_url: string;
-    billing_email: string;
-    blog: string;
-    collaborators: number;
-    company: string;
-    created_at: string;
-    default_repository_permission: string;
-    description: string;
-    disk_usage: number;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_allowed_repository_creation_type: string;
-    members_can_create_internal_repositories: boolean;
-    members_can_create_private_repositories: boolean;
-    members_can_create_public_repositories: boolean;
-    members_can_create_repositories: boolean;
-    members_url: string;
-    name: string;
-    node_id: string;
-    owned_private_repos: number;
-    plan: OrgsUpdateResponsePlan;
-    private_gists: number;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    total_private_repos: number;
-    two_factor_requirement_enabled: boolean;
-    type: string;
-    url: string;
-};
-declare type OrgsRemoveOutsideCollaboratorResponse = {
-    documentation_url: string;
-    message: string;
-};
-declare type OrgsListPublicMembersResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsListPendingInvitationsResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsListPendingInvitationsResponseItem = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: OrgsListPendingInvitationsResponseItemInviter;
-    login: string;
-    role: string;
-    team_count: number;
-};
-declare type OrgsListOutsideCollaboratorsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsListMembershipsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsListMembershipsResponseItemOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type OrgsListMembershipsResponseItem = {
-    organization: OrgsListMembershipsResponseItemOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsListMembershipsResponseItemUser;
-};
-declare type OrgsListMembersResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsListInvitationTeamsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-};
-declare type OrgsListInstallationsResponseInstallationsItemPermissions = {
-    deployments: string;
-    metadata: string;
-    pull_requests: string;
-    statuses: string;
-};
-declare type OrgsListInstallationsResponseInstallationsItemAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsListInstallationsResponseInstallationsItem = {
-    access_tokens_url: string;
-    account: OrgsListInstallationsResponseInstallationsItemAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: OrgsListInstallationsResponseInstallationsItemPermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-};
-declare type OrgsListInstallationsResponse = {
-    installations: Array<OrgsListInstallationsResponseInstallationsItem>;
-    total_count: number;
-};
-declare type OrgsListHooksResponseItemConfig = {
-    content_type: string;
-    url: string;
-};
-declare type OrgsListHooksResponseItem = {
-    active: boolean;
-    config: OrgsListHooksResponseItemConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    name: string;
-    ping_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type OrgsListForUserResponseItem = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type OrgsListForAuthenticatedUserResponseItem = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type OrgsListBlockedUsersResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsListResponseItem = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type OrgsGetMembershipForAuthenticatedUserResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsGetMembershipForAuthenticatedUserResponseOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type OrgsGetMembershipForAuthenticatedUserResponse = {
-    organization: OrgsGetMembershipForAuthenticatedUserResponseOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsGetMembershipForAuthenticatedUserResponseUser;
-};
-declare type OrgsGetMembershipResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsGetMembershipResponseOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type OrgsGetMembershipResponse = {
-    organization: OrgsGetMembershipResponseOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsGetMembershipResponseUser;
-};
-declare type OrgsGetHookResponseConfig = {
-    content_type: string;
-    url: string;
-};
-declare type OrgsGetHookResponse = {
-    active: boolean;
-    config: OrgsGetHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    name: string;
-    ping_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type OrgsGetResponsePlan = {
-    name: string;
-    private_repos: number;
-    space: number;
-    filled_seats?: number;
-    seats?: number;
-};
-declare type OrgsGetResponse = {
-    avatar_url: string;
-    billing_email?: string;
-    blog: string;
-    collaborators?: number;
-    company: string;
-    created_at: string;
-    default_repository_permission?: string;
-    description: string;
-    disk_usage?: number;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_allowed_repository_creation_type?: string;
-    members_can_create_internal_repositories?: boolean;
-    members_can_create_private_repositories?: boolean;
-    members_can_create_public_repositories?: boolean;
-    members_can_create_repositories?: boolean;
-    members_url: string;
-    name: string;
-    node_id: string;
-    owned_private_repos?: number;
-    plan: OrgsGetResponsePlan;
-    private_gists?: number;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    total_private_repos?: number;
-    two_factor_requirement_enabled?: boolean;
-    type: string;
-    url: string;
-};
-declare type OrgsCreateInvitationResponseInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsCreateInvitationResponse = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: OrgsCreateInvitationResponseInviter;
-    login: string;
-    role: string;
-    team_count: number;
-};
-declare type OrgsCreateHookResponseConfig = {
-    content_type: string;
-    url: string;
-};
-declare type OrgsCreateHookResponse = {
-    active: boolean;
-    config: OrgsCreateHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    name: string;
-    ping_url: string;
-    updated_at: string;
-    url: string;
-};
-declare type OrgsConvertMemberToOutsideCollaboratorResponse = {
-    documentation_url: string;
-    message: string;
-};
-declare type OrgsAddOrUpdateMembershipResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OrgsAddOrUpdateMembershipResponseOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type OrgsAddOrUpdateMembershipResponse = {
-    organization: OrgsAddOrUpdateMembershipResponseOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsAddOrUpdateMembershipResponseUser;
-};
-declare type OauthAuthorizationsUpdateAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsUpdateAuthorizationResponse = {
-    app: OauthAuthorizationsUpdateAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsResetAuthorizationResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OauthAuthorizationsResetAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsResetAuthorizationResponse = {
-    app: OauthAuthorizationsResetAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: OauthAuthorizationsResetAuthorizationResponseUser;
-};
-declare type OauthAuthorizationsListGrantsResponseItemApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsListGrantsResponseItem = {
-    app: OauthAuthorizationsListGrantsResponseItemApp;
-    created_at: string;
-    id: number;
-    scopes: Array<string>;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsListAuthorizationsResponseItemApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsListAuthorizationsResponseItem = {
-    app: OauthAuthorizationsListAuthorizationsResponseItemApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintResponse = {
-    app: OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponse = {
-    app: OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetOrCreateAuthorizationForAppResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetOrCreateAuthorizationForAppResponse = {
-    app: OauthAuthorizationsGetOrCreateAuthorizationForAppResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetGrantResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetGrantResponse = {
-    app: OauthAuthorizationsGetGrantResponseApp;
-    created_at: string;
-    id: number;
-    scopes: Array<string>;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsGetAuthorizationResponse = {
-    app: OauthAuthorizationsGetAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsCreateAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsCreateAuthorizationResponse = {
-    app: OauthAuthorizationsCreateAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-};
-declare type OauthAuthorizationsCheckAuthorizationResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type OauthAuthorizationsCheckAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type OauthAuthorizationsCheckAuthorizationResponse = {
-    app: OauthAuthorizationsCheckAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: OauthAuthorizationsCheckAuthorizationResponseUser;
-};
-declare type MigrationsUpdateImportResponse = {
-    authors_url: string;
-    html_url: string;
-    repository_url: string;
-    status: string;
-    url: string;
-    use_lfs: string;
-    vcs: string;
-    vcs_url: string;
-    authors_count?: number;
-    commit_count?: number;
-    has_large_files?: boolean;
-    large_files_count?: number;
-    large_files_size?: number;
-    percent?: number;
-    status_text?: string;
-    tfvc_project?: string;
-};
-declare type MigrationsStartImportResponse = {
-    authors_count: number;
-    authors_url: string;
-    commit_count: number;
-    has_large_files: boolean;
-    html_url: string;
-    large_files_count: number;
-    large_files_size: number;
-    percent: number;
-    repository_url: string;
-    status: string;
-    status_text: string;
-    url: string;
-    use_lfs: string;
-    vcs: string;
-    vcs_url: string;
-};
-declare type MigrationsStartForOrgResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type MigrationsStartForOrgResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsStartForOrgResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsStartForOrgResponseRepositoriesItemOwner;
-    permissions: MigrationsStartForOrgResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type MigrationsStartForOrgResponseOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type MigrationsStartForOrgResponse = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsStartForOrgResponseOwner;
-    repositories: Array<MigrationsStartForOrgResponseRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type MigrationsStartForAuthenticatedUserResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type MigrationsStartForAuthenticatedUserResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsStartForAuthenticatedUserResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsStartForAuthenticatedUserResponseRepositoriesItemOwner;
-    permissions: MigrationsStartForAuthenticatedUserResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type MigrationsStartForAuthenticatedUserResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsStartForAuthenticatedUserResponse = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsStartForAuthenticatedUserResponseOwner;
-    repositories: Array<MigrationsStartForAuthenticatedUserResponseRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type MigrationsSetLfsPreferenceResponse = {
-    authors_count: number;
-    authors_url: string;
-    has_large_files: boolean;
-    html_url: string;
-    large_files_count: number;
-    large_files_size: number;
-    repository_url: string;
-    status: string;
-    status_text: string;
-    url: string;
-    use_lfs: string;
-    vcs: string;
-    vcs_url: string;
-};
-declare type MigrationsMapCommitAuthorResponse = {
-    email: string;
-    id: number;
-    import_url: string;
-    name: string;
-    remote_id: string;
-    remote_name: string;
-    url: string;
-};
-declare type MigrationsListReposForUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type MigrationsListReposForUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsListReposForUserResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type MigrationsListReposForUserResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: MigrationsListReposForUserResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsListReposForUserResponseItemOwner;
-    permissions: MigrationsListReposForUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type MigrationsListReposForOrgResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type MigrationsListReposForOrgResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsListReposForOrgResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type MigrationsListReposForOrgResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: MigrationsListReposForOrgResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsListReposForOrgResponseItemOwner;
-    permissions: MigrationsListReposForOrgResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type MigrationsListForOrgResponseItemRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type MigrationsListForOrgResponseItemRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsListForOrgResponseItemRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsListForOrgResponseItemRepositoriesItemOwner;
-    permissions: MigrationsListForOrgResponseItemRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type MigrationsListForOrgResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type MigrationsListForOrgResponseItem = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsListForOrgResponseItemOwner;
-    repositories: Array<MigrationsListForOrgResponseItemRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type MigrationsListForAuthenticatedUserResponseItemRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type MigrationsListForAuthenticatedUserResponseItemRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsListForAuthenticatedUserResponseItemRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsListForAuthenticatedUserResponseItemRepositoriesItemOwner;
-    permissions: MigrationsListForAuthenticatedUserResponseItemRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type MigrationsListForAuthenticatedUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsListForAuthenticatedUserResponseItem = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsListForAuthenticatedUserResponseItemOwner;
-    repositories: Array<MigrationsListForAuthenticatedUserResponseItemRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type MigrationsGetStatusForOrgResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type MigrationsGetStatusForOrgResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsGetStatusForOrgResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsGetStatusForOrgResponseRepositoriesItemOwner;
-    permissions: MigrationsGetStatusForOrgResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type MigrationsGetStatusForOrgResponseOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type MigrationsGetStatusForOrgResponse = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsGetStatusForOrgResponseOwner;
-    repositories: Array<MigrationsGetStatusForOrgResponseRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItemOwner;
-    permissions: MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type MigrationsGetStatusForAuthenticatedUserResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type MigrationsGetStatusForAuthenticatedUserResponse = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsGetStatusForAuthenticatedUserResponseOwner;
-    repositories: Array<MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type MigrationsGetLargeFilesResponseItem = {
-    oid: string;
-    path: string;
-    ref_name: string;
-    size: number;
-};
-declare type MigrationsGetImportProgressResponse = {
-    authors_count: number;
-    authors_url: string;
-    has_large_files: boolean;
-    html_url: string;
-    large_files_count: number;
-    large_files_size: number;
-    repository_url: string;
-    status: string;
-    status_text: string;
-    url: string;
-    use_lfs: string;
-    vcs: string;
-    vcs_url: string;
-};
-declare type MigrationsGetCommitAuthorsResponseItem = {
-    email: string;
-    id: number;
-    import_url: string;
-    name: string;
-    remote_id: string;
-    remote_name: string;
-    url: string;
-};
-declare type MetaGetResponseSshKeyFingerprints = {
-    MD5_DSA: string;
-    MD5_RSA: string;
-    SHA256_DSA: string;
-    SHA256_RSA: string;
-};
-declare type MetaGetResponse = {
-    api: Array<string>;
-    git: Array<string>;
-    hooks: Array<string>;
-    importer: Array<string>;
-    pages: Array<string>;
-    ssh_key_fingerprints: MetaGetResponseSshKeyFingerprints;
-    verifiable_password_authentication: boolean;
-    web: Array<string>;
-};
-declare type LicensesListCommonlyUsedResponseItem = {
-    key: string;
-    name: string;
-    node_id?: string;
-    spdx_id: string;
-    url: string;
-};
-declare type LicensesListResponseItem = {
-    key: string;
-    name: string;
-    node_id?: string;
-    spdx_id: string;
-    url: string;
-};
-declare type LicensesGetForRepoResponseLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type LicensesGetForRepoResponseLinks = {
-    git: string;
-    html: string;
-    self: string;
-};
-declare type LicensesGetForRepoResponse = {
-    _links: LicensesGetForRepoResponseLinks;
-    content: string;
-    download_url: string;
-    encoding: string;
-    git_url: string;
-    html_url: string;
-    license: LicensesGetForRepoResponseLicense;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-};
-declare type LicensesGetResponse = {
-    body: string;
-    conditions: Array<string>;
-    description: string;
-    featured: boolean;
-    html_url: string;
-    implementation: string;
-    key: string;
-    limitations: Array<string>;
-    name: string;
-    node_id: string;
-    permissions: Array<string>;
-    spdx_id: string;
-    url: string;
-};
-declare type IssuesUpdateMilestoneResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesUpdateMilestoneResponse = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesUpdateMilestoneResponseCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesUpdateLabelResponse = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesUpdateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesUpdateCommentResponse = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesUpdateCommentResponseUser;
-};
-declare type IssuesUpdateResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesUpdateResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesUpdateResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesUpdateResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesUpdateResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesUpdateResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesUpdateResponseClosedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesUpdateResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesUpdateResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesUpdateResponse = {
-    active_lock_reason: string;
-    assignee: IssuesUpdateResponseAssignee;
-    assignees: Array<IssuesUpdateResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    closed_by: IssuesUpdateResponseClosedBy;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesUpdateResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesUpdateResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesUpdateResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesUpdateResponseUser;
-};
-declare type IssuesReplaceLabelsResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesRemoveLabelResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesRemoveAssigneesResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesRemoveAssigneesResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesRemoveAssigneesResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesRemoveAssigneesResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesRemoveAssigneesResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesRemoveAssigneesResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesRemoveAssigneesResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesRemoveAssigneesResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesRemoveAssigneesResponse = {
-    active_lock_reason: string;
-    assignee: IssuesRemoveAssigneesResponseAssignee;
-    assignees: Array<IssuesRemoveAssigneesResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesRemoveAssigneesResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesRemoveAssigneesResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesRemoveAssigneesResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesRemoveAssigneesResponseUser;
-};
-declare type IssuesListMilestonesForRepoResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListMilestonesForRepoResponseItem = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListMilestonesForRepoResponseItemCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesListLabelsOnIssueResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListLabelsForRepoResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListLabelsForMilestoneResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListForRepoResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForRepoResponseItemPullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesListForRepoResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForRepoResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListForRepoResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesListForRepoResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListForRepoResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForRepoResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForRepoResponseItem = {
-    active_lock_reason: string;
-    assignee: IssuesListForRepoResponseItemAssignee;
-    assignees: Array<IssuesListForRepoResponseItemAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListForRepoResponseItemLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListForRepoResponseItemMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListForRepoResponseItemPullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListForRepoResponseItemUser;
-};
-declare type IssuesListForOrgResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForOrgResponseItemRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type IssuesListForOrgResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForOrgResponseItemRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: IssuesListForOrgResponseItemRepositoryOwner;
-    permissions: IssuesListForOrgResponseItemRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type IssuesListForOrgResponseItemPullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesListForOrgResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForOrgResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListForOrgResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesListForOrgResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListForOrgResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForOrgResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForOrgResponseItem = {
-    active_lock_reason: string;
-    assignee: IssuesListForOrgResponseItemAssignee;
-    assignees: Array<IssuesListForOrgResponseItemAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListForOrgResponseItemLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListForOrgResponseItemMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListForOrgResponseItemPullRequest;
-    repository: IssuesListForOrgResponseItemRepository;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListForOrgResponseItemUser;
-};
-declare type IssuesListForAuthenticatedUserResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForAuthenticatedUserResponseItemRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type IssuesListForAuthenticatedUserResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForAuthenticatedUserResponseItemRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: IssuesListForAuthenticatedUserResponseItemRepositoryOwner;
-    permissions: IssuesListForAuthenticatedUserResponseItemRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type IssuesListForAuthenticatedUserResponseItemPullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesListForAuthenticatedUserResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForAuthenticatedUserResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListForAuthenticatedUserResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesListForAuthenticatedUserResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListForAuthenticatedUserResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForAuthenticatedUserResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListForAuthenticatedUserResponseItem = {
-    active_lock_reason: string;
-    assignee: IssuesListForAuthenticatedUserResponseItemAssignee;
-    assignees: Array<IssuesListForAuthenticatedUserResponseItemAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListForAuthenticatedUserResponseItemLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListForAuthenticatedUserResponseItemMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListForAuthenticatedUserResponseItemPullRequest;
-    repository: IssuesListForAuthenticatedUserResponseItemRepository;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListForAuthenticatedUserResponseItemUser;
-};
-declare type IssuesListEventsForTimelineResponseItemActor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListEventsForTimelineResponseItem = {
-    actor: IssuesListEventsForTimelineResponseItemActor;
-    commit_id: string;
-    commit_url: string;
-    created_at: string;
-    event: string;
-    id: number;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItemIssueUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItemIssuePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItemIssueMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItemIssueMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListEventsForRepoResponseItemIssueMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItemIssueLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItemIssueAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItemIssueAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItemIssue = {
-    active_lock_reason: string;
-    assignee: IssuesListEventsForRepoResponseItemIssueAssignee;
-    assignees: Array<IssuesListEventsForRepoResponseItemIssueAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListEventsForRepoResponseItemIssueLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListEventsForRepoResponseItemIssueMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListEventsForRepoResponseItemIssuePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListEventsForRepoResponseItemIssueUser;
-};
-declare type IssuesListEventsForRepoResponseItemActor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListEventsForRepoResponseItem = {
-    actor: IssuesListEventsForRepoResponseItemActor;
-    commit_id: string;
-    commit_url: string;
-    created_at: string;
-    event: string;
-    id: number;
-    issue: IssuesListEventsForRepoResponseItemIssue;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListEventsResponseItemActor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListEventsResponseItem = {
-    actor: IssuesListEventsResponseItemActor;
-    commit_id: string;
-    commit_url: string;
-    created_at: string;
-    event: string;
-    id: number;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListCommentsForRepoResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListCommentsForRepoResponseItem = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListCommentsForRepoResponseItemUser;
-};
-declare type IssuesListCommentsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListCommentsResponseItem = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListCommentsResponseItemUser;
-};
-declare type IssuesListAssigneesResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListResponseItemRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type IssuesListResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListResponseItemRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: IssuesListResponseItemRepositoryOwner;
-    permissions: IssuesListResponseItemRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type IssuesListResponseItemPullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesListResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesListResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesListResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesListResponseItem = {
-    active_lock_reason: string;
-    assignee: IssuesListResponseItemAssignee;
-    assignees: Array<IssuesListResponseItemAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListResponseItemLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListResponseItemMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListResponseItemPullRequest;
-    repository: IssuesListResponseItemRepository;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListResponseItemUser;
-};
-declare type IssuesGetMilestoneResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetMilestoneResponse = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesGetMilestoneResponseCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesGetLabelResponse = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesGetEventResponseIssueUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetEventResponseIssuePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesGetEventResponseIssueMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetEventResponseIssueMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesGetEventResponseIssueMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesGetEventResponseIssueLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesGetEventResponseIssueAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetEventResponseIssueAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetEventResponseIssue = {
-    active_lock_reason: string;
-    assignee: IssuesGetEventResponseIssueAssignee;
-    assignees: Array<IssuesGetEventResponseIssueAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesGetEventResponseIssueLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesGetEventResponseIssueMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesGetEventResponseIssuePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesGetEventResponseIssueUser;
-};
-declare type IssuesGetEventResponseActor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetEventResponse = {
-    actor: IssuesGetEventResponseActor;
-    commit_id: string;
-    commit_url: string;
-    created_at: string;
-    event: string;
-    id: number;
-    issue: IssuesGetEventResponseIssue;
-    node_id: string;
-    url: string;
-};
-declare type IssuesGetCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetCommentResponse = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesGetCommentResponseUser;
-};
-declare type IssuesGetResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesGetResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesGetResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesGetResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesGetResponseClosedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesGetResponse = {
-    active_lock_reason: string;
-    assignee: IssuesGetResponseAssignee;
-    assignees: Array<IssuesGetResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    closed_by: IssuesGetResponseClosedBy;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesGetResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesGetResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesGetResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesGetResponseUser;
-};
-declare type IssuesCreateMilestoneResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesCreateMilestoneResponse = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesCreateMilestoneResponseCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesCreateLabelResponse = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesCreateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesCreateCommentResponse = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesCreateCommentResponseUser;
-};
-declare type IssuesCreateResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesCreateResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesCreateResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesCreateResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesCreateResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesCreateResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesCreateResponseClosedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesCreateResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesCreateResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesCreateResponse = {
-    active_lock_reason: string;
-    assignee: IssuesCreateResponseAssignee;
-    assignees: Array<IssuesCreateResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    closed_by: IssuesCreateResponseClosedBy;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesCreateResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesCreateResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesCreateResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesCreateResponseUser;
-};
-declare type IssuesAddLabelsResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesAddAssigneesResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesAddAssigneesResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-};
-declare type IssuesAddAssigneesResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesAddAssigneesResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesAddAssigneesResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-};
-declare type IssuesAddAssigneesResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-};
-declare type IssuesAddAssigneesResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesAddAssigneesResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type IssuesAddAssigneesResponse = {
-    active_lock_reason: string;
-    assignee: IssuesAddAssigneesResponseAssignee;
-    assignees: Array<IssuesAddAssigneesResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesAddAssigneesResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesAddAssigneesResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesAddAssigneesResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesAddAssigneesResponseUser;
-};
-declare type InteractionsGetRestrictionsForRepoResponse = {
-    expires_at: string;
-    limit: string;
-    origin: string;
-};
-declare type InteractionsGetRestrictionsForOrgResponse = {
-    expires_at: string;
-    limit: string;
-    origin: string;
-};
-declare type InteractionsAddOrUpdateRestrictionsForRepoResponse = {
-    expires_at: string;
-    limit: string;
-    origin: string;
-};
-declare type InteractionsAddOrUpdateRestrictionsForOrgResponse = {
-    expires_at: string;
-    limit: string;
-    origin: string;
-};
-declare type GitignoreGetTemplateResponse = {
-    name: string;
-    source: string;
-};
-declare type GitUpdateRefResponseObject = {
-    sha: string;
-    type: string;
-    url: string;
-};
-declare type GitUpdateRefResponse = {
-    node_id: string;
-    object: GitUpdateRefResponseObject;
-    ref: string;
-    url: string;
-};
-declare type GitListMatchingRefsResponseItemObject = {
-    sha: string;
-    type: string;
-    url: string;
-};
-declare type GitListMatchingRefsResponseItem = {
-    node_id: string;
-    object: GitListMatchingRefsResponseItemObject;
-    ref: string;
-    url: string;
-};
-declare type GitGetTreeResponseTreeItem = {
-    mode: string;
-    path: string;
-    sha: string;
-    size?: number;
-    type: string;
-    url: string;
-};
-declare type GitGetTreeResponse = {
-    sha: string;
-    tree: Array<GitGetTreeResponseTreeItem>;
-    truncated: boolean;
-    url: string;
-};
-declare type GitGetTagResponseVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type GitGetTagResponseTagger = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type GitGetTagResponseObject = {
-    sha: string;
-    type: string;
-    url: string;
-};
-declare type GitGetTagResponse = {
-    message: string;
-    node_id: string;
-    object: GitGetTagResponseObject;
-    sha: string;
-    tag: string;
-    tagger: GitGetTagResponseTagger;
-    url: string;
-    verification: GitGetTagResponseVerification;
-};
-declare type GitGetRefResponseObject = {
-    sha: string;
-    type: string;
-    url: string;
-};
-declare type GitGetRefResponse = {
-    node_id: string;
-    object: GitGetRefResponseObject;
-    ref: string;
-    url: string;
-};
-declare type GitGetCommitResponseVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type GitGetCommitResponseTree = {
-    sha: string;
-    url: string;
-};
-declare type GitGetCommitResponseParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type GitGetCommitResponseCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type GitGetCommitResponseAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type GitGetCommitResponse = {
-    author: GitGetCommitResponseAuthor;
-    committer: GitGetCommitResponseCommitter;
-    message: string;
-    parents: Array<GitGetCommitResponseParentsItem>;
-    sha: string;
-    tree: GitGetCommitResponseTree;
-    url: string;
-    verification: GitGetCommitResponseVerification;
-};
-declare type GitGetBlobResponse = {
-    content: string;
-    encoding: string;
-    sha: string;
-    size: number;
-    url: string;
-};
-declare type GitCreateTreeResponseTreeItem = {
-    mode: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-};
-declare type GitCreateTreeResponse = {
-    sha: string;
-    tree: Array<GitCreateTreeResponseTreeItem>;
-    url: string;
-};
-declare type GitCreateTagResponseVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type GitCreateTagResponseTagger = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type GitCreateTagResponseObject = {
-    sha: string;
-    type: string;
-    url: string;
-};
-declare type GitCreateTagResponse = {
-    message: string;
-    node_id: string;
-    object: GitCreateTagResponseObject;
-    sha: string;
-    tag: string;
-    tagger: GitCreateTagResponseTagger;
-    url: string;
-    verification: GitCreateTagResponseVerification;
-};
-declare type GitCreateRefResponseObject = {
-    sha: string;
-    type: string;
-    url: string;
-};
-declare type GitCreateRefResponse = {
-    node_id: string;
-    object: GitCreateRefResponseObject;
-    ref: string;
-    url: string;
-};
-declare type GitCreateCommitResponseVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-};
-declare type GitCreateCommitResponseTree = {
-    sha: string;
-    url: string;
-};
-declare type GitCreateCommitResponseParentsItem = {
-    sha: string;
-    url: string;
-};
-declare type GitCreateCommitResponseCommitter = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type GitCreateCommitResponseAuthor = {
-    date: string;
-    email: string;
-    name: string;
-};
-declare type GitCreateCommitResponse = {
-    author: GitCreateCommitResponseAuthor;
-    committer: GitCreateCommitResponseCommitter;
-    message: string;
-    node_id: string;
-    parents: Array<GitCreateCommitResponseParentsItem>;
-    sha: string;
-    tree: GitCreateCommitResponseTree;
-    url: string;
-    verification: GitCreateCommitResponseVerification;
-};
-declare type GitCreateBlobResponse = {
-    sha: string;
-    url: string;
-};
-declare type GistsUpdateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsUpdateCommentResponse = {
-    body: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: GistsUpdateCommentResponseUser;
-};
-declare type GistsUpdateResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsUpdateResponseHistoryItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsUpdateResponseHistoryItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-};
-declare type GistsUpdateResponseHistoryItem = {
-    change_status: GistsUpdateResponseHistoryItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsUpdateResponseHistoryItemUser;
-    version: string;
-};
-declare type GistsUpdateResponseForksItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsUpdateResponseForksItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsUpdateResponseForksItemUser;
-};
-declare type GistsUpdateResponseFilesNewFileTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsUpdateResponseFilesHelloWorldRb = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsUpdateResponseFilesHelloWorldPy = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsUpdateResponseFilesHelloWorldMd = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsUpdateResponseFiles = {
-    "hello_world.md": GistsUpdateResponseFilesHelloWorldMd;
-    "hello_world.py": GistsUpdateResponseFilesHelloWorldPy;
-    "hello_world.rb": GistsUpdateResponseFilesHelloWorldRb;
-    "new_file.txt": GistsUpdateResponseFilesNewFileTxt;
-};
-declare type GistsUpdateResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsUpdateResponseFiles;
-    forks: Array<GistsUpdateResponseForksItem>;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    history: Array<GistsUpdateResponseHistoryItem>;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsUpdateResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type GistsListStarredResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsListStarredResponseItemFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-};
-declare type GistsListStarredResponseItemFiles = {
-    "hello_world.rb": GistsListStarredResponseItemFilesHelloWorldRb;
-};
-declare type GistsListStarredResponseItem = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsListStarredResponseItemFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsListStarredResponseItemOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type GistsListPublicForUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsListPublicForUserResponseItemFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-};
-declare type GistsListPublicForUserResponseItemFiles = {
-    "hello_world.rb": GistsListPublicForUserResponseItemFilesHelloWorldRb;
-};
-declare type GistsListPublicForUserResponseItem = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsListPublicForUserResponseItemFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsListPublicForUserResponseItemOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type GistsListPublicResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsListPublicResponseItemFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-};
-declare type GistsListPublicResponseItemFiles = {
-    "hello_world.rb": GistsListPublicResponseItemFilesHelloWorldRb;
-};
-declare type GistsListPublicResponseItem = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsListPublicResponseItemFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsListPublicResponseItemOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type GistsListForksResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsListForksResponseItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsListForksResponseItemUser;
-};
-declare type GistsListCommitsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsListCommitsResponseItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-};
-declare type GistsListCommitsResponseItem = {
-    change_status: GistsListCommitsResponseItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsListCommitsResponseItemUser;
-    version: string;
-};
-declare type GistsListCommentsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsListCommentsResponseItem = {
-    body: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: GistsListCommentsResponseItemUser;
-};
-declare type GistsListResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsListResponseItemFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-};
-declare type GistsListResponseItemFiles = {
-    "hello_world.rb": GistsListResponseItemFilesHelloWorldRb;
-};
-declare type GistsListResponseItem = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsListResponseItemFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsListResponseItemOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type GistsGetRevisionResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsGetRevisionResponseHistoryItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsGetRevisionResponseHistoryItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-};
-declare type GistsGetRevisionResponseHistoryItem = {
-    change_status: GistsGetRevisionResponseHistoryItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsGetRevisionResponseHistoryItemUser;
-    version: string;
-};
-declare type GistsGetRevisionResponseForksItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsGetRevisionResponseForksItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsGetRevisionResponseForksItemUser;
-};
-declare type GistsGetRevisionResponseFilesHelloWorldRubyTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsGetRevisionResponseFilesHelloWorldPythonTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsGetRevisionResponseFilesHelloWorldRb = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsGetRevisionResponseFilesHelloWorldPy = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsGetRevisionResponseFiles = {
-    "hello_world.py": GistsGetRevisionResponseFilesHelloWorldPy;
-    "hello_world.rb": GistsGetRevisionResponseFilesHelloWorldRb;
-    "hello_world_python.txt": GistsGetRevisionResponseFilesHelloWorldPythonTxt;
-    "hello_world_ruby.txt": GistsGetRevisionResponseFilesHelloWorldRubyTxt;
-};
-declare type GistsGetRevisionResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsGetRevisionResponseFiles;
-    forks: Array<GistsGetRevisionResponseForksItem>;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    history: Array<GistsGetRevisionResponseHistoryItem>;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsGetRevisionResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type GistsGetCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsGetCommentResponse = {
-    body: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: GistsGetCommentResponseUser;
-};
-declare type GistsGetResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsGetResponseHistoryItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsGetResponseHistoryItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-};
-declare type GistsGetResponseHistoryItem = {
-    change_status: GistsGetResponseHistoryItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsGetResponseHistoryItemUser;
-    version: string;
-};
-declare type GistsGetResponseForksItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsGetResponseForksItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsGetResponseForksItemUser;
-};
-declare type GistsGetResponseFilesHelloWorldRubyTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsGetResponseFilesHelloWorldPythonTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsGetResponseFilesHelloWorldRb = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsGetResponseFilesHelloWorldPy = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsGetResponseFiles = {
-    "hello_world.py": GistsGetResponseFilesHelloWorldPy;
-    "hello_world.rb": GistsGetResponseFilesHelloWorldRb;
-    "hello_world_python.txt": GistsGetResponseFilesHelloWorldPythonTxt;
-    "hello_world_ruby.txt": GistsGetResponseFilesHelloWorldRubyTxt;
-};
-declare type GistsGetResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsGetResponseFiles;
-    forks: Array<GistsGetResponseForksItem>;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    history: Array<GistsGetResponseHistoryItem>;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsGetResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type GistsForkResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsForkResponseFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-};
-declare type GistsForkResponseFiles = {
-    "hello_world.rb": GistsForkResponseFilesHelloWorldRb;
-};
-declare type GistsForkResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsForkResponseFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsForkResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type GistsCreateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsCreateCommentResponse = {
-    body: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: GistsCreateCommentResponseUser;
-};
-declare type GistsCreateResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsCreateResponseHistoryItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsCreateResponseHistoryItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-};
-declare type GistsCreateResponseHistoryItem = {
-    change_status: GistsCreateResponseHistoryItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsCreateResponseHistoryItemUser;
-    version: string;
-};
-declare type GistsCreateResponseForksItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type GistsCreateResponseForksItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsCreateResponseForksItemUser;
-};
-declare type GistsCreateResponseFilesHelloWorldRubyTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsCreateResponseFilesHelloWorldPythonTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsCreateResponseFilesHelloWorldRb = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsCreateResponseFilesHelloWorldPy = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-};
-declare type GistsCreateResponseFiles = {
-    "hello_world.py": GistsCreateResponseFilesHelloWorldPy;
-    "hello_world.rb": GistsCreateResponseFilesHelloWorldRb;
-    "hello_world_python.txt": GistsCreateResponseFilesHelloWorldPythonTxt;
-    "hello_world_ruby.txt": GistsCreateResponseFilesHelloWorldRubyTxt;
-};
-declare type GistsCreateResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsCreateResponseFiles;
-    forks: Array<GistsCreateResponseForksItem>;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    history: Array<GistsCreateResponseHistoryItem>;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsCreateResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-};
-declare type CodesOfConductListConductCodesResponseItem = {
-    key: string;
-    name: string;
-    url: string;
-};
-declare type CodesOfConductGetForRepoResponse = {
-    body: string;
-    key: string;
-    name: string;
-    url: string;
-};
-declare type CodesOfConductGetConductCodeResponse = {
-    body: string;
-    key: string;
-    name: string;
-    url: string;
-};
-declare type ChecksUpdateResponsePullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksUpdateResponsePullRequestsItemHead = {
-    ref: string;
-    repo: ChecksUpdateResponsePullRequestsItemHeadRepo;
-    sha: string;
-};
-declare type ChecksUpdateResponsePullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksUpdateResponsePullRequestsItemBase = {
-    ref: string;
-    repo: ChecksUpdateResponsePullRequestsItemBaseRepo;
-    sha: string;
-};
-declare type ChecksUpdateResponsePullRequestsItem = {
-    base: ChecksUpdateResponsePullRequestsItemBase;
-    head: ChecksUpdateResponsePullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-};
-declare type ChecksUpdateResponseOutput = {
-    annotations_count: number;
-    annotations_url: string;
-    summary: string;
-    text: string;
-    title: string;
-};
-declare type ChecksUpdateResponseCheckSuite = {
-    id: number;
-};
-declare type ChecksUpdateResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ChecksUpdateResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ChecksUpdateResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksUpdateResponseAppOwner;
-    permissions: ChecksUpdateResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ChecksUpdateResponse = {
-    app: ChecksUpdateResponseApp;
-    check_suite: ChecksUpdateResponseCheckSuite;
-    completed_at: string;
-    conclusion: string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksUpdateResponseOutput;
-    pull_requests: Array<ChecksUpdateResponsePullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-};
-declare type ChecksSetSuitesPreferencesResponseRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ChecksSetSuitesPreferencesResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ChecksSetSuitesPreferencesResponseRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ChecksSetSuitesPreferencesResponseRepositoryOwner;
-    permissions: ChecksSetSuitesPreferencesResponseRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ChecksSetSuitesPreferencesResponsePreferencesAutoTriggerChecksItem = {
-    app_id: number;
-    setting: boolean;
-};
-declare type ChecksSetSuitesPreferencesResponsePreferences = {
-    auto_trigger_checks: Array<ChecksSetSuitesPreferencesResponsePreferencesAutoTriggerChecksItem>;
-};
-declare type ChecksSetSuitesPreferencesResponse = {
-    preferences: ChecksSetSuitesPreferencesResponsePreferences;
-    repository: ChecksSetSuitesPreferencesResponseRepository;
-};
-declare type ChecksListSuitesForRefResponseCheckSuitesItemRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ChecksListSuitesForRefResponseCheckSuitesItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ChecksListSuitesForRefResponseCheckSuitesItemRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ChecksListSuitesForRefResponseCheckSuitesItemRepositoryOwner;
-    permissions: ChecksListSuitesForRefResponseCheckSuitesItemRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ChecksListSuitesForRefResponseCheckSuitesItemAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ChecksListSuitesForRefResponseCheckSuitesItemAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ChecksListSuitesForRefResponseCheckSuitesItemApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksListSuitesForRefResponseCheckSuitesItemAppOwner;
-    permissions: ChecksListSuitesForRefResponseCheckSuitesItemAppPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ChecksListSuitesForRefResponseCheckSuitesItem = {
-    after: string;
-    app: ChecksListSuitesForRefResponseCheckSuitesItemApp;
-    before: string;
-    conclusion: string;
-    head_branch: string;
-    head_sha: string;
-    id: number;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ChecksListSuitesForRefResponseCheckSuitesItemRepository;
-    status: string;
-    url: string;
-};
-declare type ChecksListSuitesForRefResponse = {
-    check_suites: Array<ChecksListSuitesForRefResponseCheckSuitesItem>;
-    total_count: number;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemPullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemPullRequestsItemHead = {
-    ref: string;
-    repo: ChecksListForSuiteResponseCheckRunsItemPullRequestsItemHeadRepo;
-    sha: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemPullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemPullRequestsItemBase = {
-    ref: string;
-    repo: ChecksListForSuiteResponseCheckRunsItemPullRequestsItemBaseRepo;
-    sha: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemPullRequestsItem = {
-    base: ChecksListForSuiteResponseCheckRunsItemPullRequestsItemBase;
-    head: ChecksListForSuiteResponseCheckRunsItemPullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemOutput = {
-    annotations_count: number;
-    annotations_url: string;
-    summary: string;
-    text: string;
-    title: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemCheckSuite = {
-    id: number;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItemApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksListForSuiteResponseCheckRunsItemAppOwner;
-    permissions: ChecksListForSuiteResponseCheckRunsItemAppPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ChecksListForSuiteResponseCheckRunsItem = {
-    app: ChecksListForSuiteResponseCheckRunsItemApp;
-    check_suite: ChecksListForSuiteResponseCheckRunsItemCheckSuite;
-    completed_at: string;
-    conclusion: string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksListForSuiteResponseCheckRunsItemOutput;
-    pull_requests: Array<ChecksListForSuiteResponseCheckRunsItemPullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-};
-declare type ChecksListForSuiteResponse = {
-    check_runs: Array<ChecksListForSuiteResponseCheckRunsItem>;
-    total_count: number;
-};
-declare type ChecksListForRefResponseCheckRunsItemPullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksListForRefResponseCheckRunsItemPullRequestsItemHead = {
-    ref: string;
-    repo: ChecksListForRefResponseCheckRunsItemPullRequestsItemHeadRepo;
-    sha: string;
-};
-declare type ChecksListForRefResponseCheckRunsItemPullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksListForRefResponseCheckRunsItemPullRequestsItemBase = {
-    ref: string;
-    repo: ChecksListForRefResponseCheckRunsItemPullRequestsItemBaseRepo;
-    sha: string;
-};
-declare type ChecksListForRefResponseCheckRunsItemPullRequestsItem = {
-    base: ChecksListForRefResponseCheckRunsItemPullRequestsItemBase;
-    head: ChecksListForRefResponseCheckRunsItemPullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-};
-declare type ChecksListForRefResponseCheckRunsItemOutput = {
-    annotations_count: number;
-    annotations_url: string;
-    summary: string;
-    text: string;
-    title: string;
-};
-declare type ChecksListForRefResponseCheckRunsItemCheckSuite = {
-    id: number;
-};
-declare type ChecksListForRefResponseCheckRunsItemAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ChecksListForRefResponseCheckRunsItemAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ChecksListForRefResponseCheckRunsItemApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksListForRefResponseCheckRunsItemAppOwner;
-    permissions: ChecksListForRefResponseCheckRunsItemAppPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ChecksListForRefResponseCheckRunsItem = {
-    app: ChecksListForRefResponseCheckRunsItemApp;
-    check_suite: ChecksListForRefResponseCheckRunsItemCheckSuite;
-    completed_at: string;
-    conclusion: string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksListForRefResponseCheckRunsItemOutput;
-    pull_requests: Array<ChecksListForRefResponseCheckRunsItemPullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-};
-declare type ChecksListForRefResponse = {
-    check_runs: Array<ChecksListForRefResponseCheckRunsItem>;
-    total_count: number;
-};
-declare type ChecksListAnnotationsResponseItem = {
-    annotation_level: string;
-    end_column: number;
-    end_line: number;
-    message: string;
-    path: string;
-    raw_details: string;
-    start_column: number;
-    start_line: number;
-    title: string;
-};
-declare type ChecksGetSuiteResponseRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ChecksGetSuiteResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ChecksGetSuiteResponseRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ChecksGetSuiteResponseRepositoryOwner;
-    permissions: ChecksGetSuiteResponseRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ChecksGetSuiteResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ChecksGetSuiteResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ChecksGetSuiteResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksGetSuiteResponseAppOwner;
-    permissions: ChecksGetSuiteResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ChecksGetSuiteResponse = {
-    after: string;
-    app: ChecksGetSuiteResponseApp;
-    before: string;
-    conclusion: string;
-    head_branch: string;
-    head_sha: string;
-    id: number;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ChecksGetSuiteResponseRepository;
-    status: string;
-    url: string;
-};
-declare type ChecksGetResponsePullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksGetResponsePullRequestsItemHead = {
-    ref: string;
-    repo: ChecksGetResponsePullRequestsItemHeadRepo;
-    sha: string;
-};
-declare type ChecksGetResponsePullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksGetResponsePullRequestsItemBase = {
-    ref: string;
-    repo: ChecksGetResponsePullRequestsItemBaseRepo;
-    sha: string;
-};
-declare type ChecksGetResponsePullRequestsItem = {
-    base: ChecksGetResponsePullRequestsItemBase;
-    head: ChecksGetResponsePullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-};
-declare type ChecksGetResponseOutput = {
-    annotations_count: number;
-    annotations_url: string;
-    summary: string;
-    text: string;
-    title: string;
-};
-declare type ChecksGetResponseCheckSuite = {
-    id: number;
-};
-declare type ChecksGetResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ChecksGetResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ChecksGetResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksGetResponseAppOwner;
-    permissions: ChecksGetResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ChecksGetResponse = {
-    app: ChecksGetResponseApp;
-    check_suite: ChecksGetResponseCheckSuite;
-    completed_at: string;
-    conclusion: string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksGetResponseOutput;
-    pull_requests: Array<ChecksGetResponsePullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-};
-declare type ChecksCreateSuiteResponseRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ChecksCreateSuiteResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ChecksCreateSuiteResponseRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ChecksCreateSuiteResponseRepositoryOwner;
-    permissions: ChecksCreateSuiteResponseRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ChecksCreateSuiteResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ChecksCreateSuiteResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ChecksCreateSuiteResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksCreateSuiteResponseAppOwner;
-    permissions: ChecksCreateSuiteResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ChecksCreateSuiteResponse = {
-    after: string;
-    app: ChecksCreateSuiteResponseApp;
-    before: string;
-    conclusion: string;
-    head_branch: string;
-    head_sha: string;
-    id: number;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ChecksCreateSuiteResponseRepository;
-    status: string;
-    url: string;
-};
-declare type ChecksCreateResponsePullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksCreateResponsePullRequestsItemHead = {
-    ref: string;
-    repo: ChecksCreateResponsePullRequestsItemHeadRepo;
-    sha: string;
-};
-declare type ChecksCreateResponsePullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-};
-declare type ChecksCreateResponsePullRequestsItemBase = {
-    ref: string;
-    repo: ChecksCreateResponsePullRequestsItemBaseRepo;
-    sha: string;
-};
-declare type ChecksCreateResponsePullRequestsItem = {
-    base: ChecksCreateResponsePullRequestsItemBase;
-    head: ChecksCreateResponsePullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-};
-declare type ChecksCreateResponseOutput = {
-    summary: string;
-    text: string;
-    title: string;
-    annotations_count?: number;
-    annotations_url?: string;
-};
-declare type ChecksCreateResponseCheckSuite = {
-    id: number;
-};
-declare type ChecksCreateResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type ChecksCreateResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type ChecksCreateResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksCreateResponseAppOwner;
-    permissions: ChecksCreateResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type ChecksCreateResponse = {
-    app: ChecksCreateResponseApp;
-    check_suite: ChecksCreateResponseCheckSuite;
-    completed_at: null | string;
-    conclusion: null | string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksCreateResponseOutput;
-    pull_requests: Array<ChecksCreateResponsePullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-};
-declare type AppsResetTokenResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsResetTokenResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type AppsResetTokenResponse = {
-    app: AppsResetTokenResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: AppsResetTokenResponseUser;
-};
-declare type AppsResetAuthorizationResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsResetAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type AppsResetAuthorizationResponse = {
-    app: AppsResetAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: AppsResetAuthorizationResponseUser;
-};
-declare type AppsListReposResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsListReposResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: AppsListReposResponseRepositoriesItemOwner;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type AppsListReposResponse = {
-    repositories: Array<AppsListReposResponseRepositoriesItem>;
-    total_count: number;
-};
-declare type AppsListPlansStubbedResponseItem = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsListPlansResponseItem = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItemPlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItemAccount = {
-    email: null;
-    id: number;
-    login: string;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-};
-declare type AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItem = {
-    account: AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItemAccount;
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItemPlan;
-    unit_count: null;
-    updated_at: string;
-};
-declare type AppsListMarketplacePurchasesForAuthenticatedUserResponseItemPlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsListMarketplacePurchasesForAuthenticatedUserResponseItemAccount = {
-    email: null;
-    id: number;
-    login: string;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-};
-declare type AppsListMarketplacePurchasesForAuthenticatedUserResponseItem = {
-    account: AppsListMarketplacePurchasesForAuthenticatedUserResponseItemAccount;
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsListMarketplacePurchasesForAuthenticatedUserResponseItemPlan;
-    unit_count: null;
-    updated_at: string;
-};
-declare type AppsListInstallationsForAuthenticatedUserResponseInstallationsItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type AppsListInstallationsForAuthenticatedUserResponseInstallationsItemAccount = {
-    avatar_url: string;
-    description?: string;
-    events_url: string;
-    hooks_url?: string;
-    id: number;
-    issues_url?: string;
-    login: string;
-    members_url?: string;
-    node_id: string;
-    public_members_url?: string;
-    repos_url: string;
-    url: string;
-    followers_url?: string;
-    following_url?: string;
-    gists_url?: string;
-    gravatar_id?: string;
-    html_url?: string;
-    organizations_url?: string;
-    received_events_url?: string;
-    site_admin?: boolean;
-    starred_url?: string;
-    subscriptions_url?: string;
-    type?: string;
-};
-declare type AppsListInstallationsForAuthenticatedUserResponseInstallationsItem = {
-    access_tokens_url: string;
-    account: AppsListInstallationsForAuthenticatedUserResponseInstallationsItemAccount;
-    app_id: number;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsListInstallationsForAuthenticatedUserResponseInstallationsItemPermissions;
-    repositories_url: string;
-    single_file_name: string;
-    target_id: number;
-    target_type: string;
-};
-declare type AppsListInstallationsForAuthenticatedUserResponse = {
-    installations: Array<AppsListInstallationsForAuthenticatedUserResponseInstallationsItem>;
-    total_count: number;
-};
-declare type AppsListInstallationsResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type AppsListInstallationsResponseItemAccount = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type AppsListInstallationsResponseItem = {
-    access_tokens_url: string;
-    account: AppsListInstallationsResponseItemAccount;
-    app_id: number;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsListInstallationsResponseItemPermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: string;
-    target_id: number;
-    target_type: string;
-};
-declare type AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItemOwner;
-    permissions: AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type AppsListInstallationReposForAuthenticatedUserResponse = {
-    repositories: Array<AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItem>;
-    total_count: number;
-};
-declare type AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePurchasePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePurchase = {
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePurchasePlan;
-    unit_count: null;
-    updated_at: string;
-};
-declare type AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePendingChangePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePendingChange = {
-    effective_date: string;
-    id: number;
-    plan: AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePendingChangePlan;
-    unit_count: null;
-};
-declare type AppsListAccountsUserOrOrgOnPlanStubbedResponseItem = {
-    email: null;
-    id: number;
-    login: string;
-    marketplace_pending_change: AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePendingChange;
-    marketplace_purchase: AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePurchase;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-};
-declare type AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePurchasePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePurchase = {
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePurchasePlan;
-    unit_count: null;
-    updated_at: string;
-};
-declare type AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePendingChangePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePendingChange = {
-    effective_date: string;
-    id: number;
-    plan: AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePendingChangePlan;
-    unit_count: null;
-};
-declare type AppsListAccountsUserOrOrgOnPlanResponseItem = {
-    email: null;
-    id: number;
-    login: string;
-    marketplace_pending_change: AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePendingChange;
-    marketplace_purchase: AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePurchase;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-};
-declare type AppsGetUserInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-};
-declare type AppsGetUserInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsGetUserInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsGetUserInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsGetUserInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-};
-declare type AppsGetRepoInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-};
-declare type AppsGetRepoInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsGetRepoInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsGetRepoInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsGetRepoInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-};
-declare type AppsGetOrgInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-};
-declare type AppsGetOrgInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsGetOrgInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsGetOrgInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsGetOrgInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-};
-declare type AppsGetInstallationResponsePermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type AppsGetInstallationResponseAccount = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type AppsGetInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsGetInstallationResponseAccount;
-    app_id: number;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsGetInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: string;
-    target_id: number;
-    target_type: string;
-};
-declare type AppsGetBySlugResponsePermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type AppsGetBySlugResponseOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type AppsGetBySlugResponse = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: AppsGetBySlugResponseOwner;
-    permissions: AppsGetBySlugResponsePermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type AppsGetAuthenticatedResponsePermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-};
-declare type AppsGetAuthenticatedResponseOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-};
-declare type AppsGetAuthenticatedResponse = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    installations_count: number;
-    name: string;
-    node_id: string;
-    owner: AppsGetAuthenticatedResponseOwner;
-    permissions: AppsGetAuthenticatedResponsePermissions;
-    slug: string;
-    updated_at: string;
-};
-declare type AppsFindUserInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-};
-declare type AppsFindUserInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsFindUserInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsFindUserInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsFindUserInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-};
-declare type AppsFindRepoInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-};
-declare type AppsFindRepoInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsFindRepoInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsFindRepoInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsFindRepoInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-};
-declare type AppsFindOrgInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-};
-declare type AppsFindOrgInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsFindOrgInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsFindOrgInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsFindOrgInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-};
-declare type AppsCreateInstallationTokenResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type AppsCreateInstallationTokenResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsCreateInstallationTokenResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: AppsCreateInstallationTokenResponseRepositoriesItemOwner;
-    permissions: AppsCreateInstallationTokenResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type AppsCreateInstallationTokenResponsePermissions = {
-    contents: string;
-    issues: string;
-};
-declare type AppsCreateInstallationTokenResponse = {
-    expires_at: string;
-    permissions: AppsCreateInstallationTokenResponsePermissions;
-    repositories: Array<AppsCreateInstallationTokenResponseRepositoriesItem>;
-    token: string;
-};
-declare type AppsCreateFromManifestResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsCreateFromManifestResponse = {
-    client_id: string;
-    client_secret: string;
-    created_at: string;
-    description: null;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: AppsCreateFromManifestResponseOwner;
-    pem: string;
-    updated_at: string;
-    webhook_secret: string;
-};
-declare type AppsCreateContentAttachmentResponse = {
-    body: string;
-    id: number;
-    title: string;
-};
-declare type AppsCheckTokenResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsCheckTokenResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type AppsCheckTokenResponse = {
-    app: AppsCheckTokenResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: AppsCheckTokenResponseUser;
-};
-declare type AppsCheckAuthorizationResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type AppsCheckAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-};
-declare type AppsCheckAuthorizationResponse = {
-    app: AppsCheckAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: AppsCheckAuthorizationResponseUser;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePurchasePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePurchase = {
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePurchasePlan;
-    unit_count: null;
-    updated_at: string;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePendingChangePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePendingChange = {
-    effective_date: string;
-    id: number;
-    plan: AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePendingChangePlan;
-    unit_count: null;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyStubbedResponse = {
-    email: null;
-    id: number;
-    login: string;
-    marketplace_pending_change: AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePendingChange;
-    marketplace_purchase: AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePurchase;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePurchasePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePurchase = {
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePurchasePlan;
-    unit_count: null;
-    updated_at: string;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePendingChangePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePendingChange = {
-    effective_date: string;
-    id: number;
-    plan: AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePendingChangePlan;
-    unit_count: null;
-};
-declare type AppsCheckAccountIsAssociatedWithAnyResponse = {
-    email: null;
-    id: number;
-    login: string;
-    marketplace_pending_change: AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePendingChange;
-    marketplace_purchase: AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePurchase;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-};
-declare type ActivitySetThreadSubscriptionResponse = {
-    created_at: string;
-    ignored: boolean;
-    reason: null;
-    subscribed: boolean;
-    thread_url: string;
-    url: string;
-};
-declare type ActivitySetRepoSubscriptionResponse = {
-    created_at: string;
-    ignored: boolean;
-    reason: null;
-    repository_url: string;
-    subscribed: boolean;
-    url: string;
-};
-declare type ActivityListWatchersForRepoResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListWatchedReposForAuthenticatedUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ActivityListWatchedReposForAuthenticatedUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListWatchedReposForAuthenticatedUserResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type ActivityListWatchedReposForAuthenticatedUserResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ActivityListWatchedReposForAuthenticatedUserResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ActivityListWatchedReposForAuthenticatedUserResponseItemOwner;
-    permissions: ActivityListWatchedReposForAuthenticatedUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ActivityListStargazersForRepoResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListReposWatchedByUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ActivityListReposWatchedByUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListReposWatchedByUserResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-};
-declare type ActivityListReposWatchedByUserResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ActivityListReposWatchedByUserResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ActivityListReposWatchedByUserResponseItemOwner;
-    permissions: ActivityListReposWatchedByUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ActivityListReposStarredByUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ActivityListReposStarredByUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListReposStarredByUserResponseItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ActivityListReposStarredByUserResponseItemOwner;
-    permissions: ActivityListReposStarredByUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ActivityListReposStarredByAuthenticatedUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-};
-declare type ActivityListReposStarredByAuthenticatedUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListReposStarredByAuthenticatedUserResponseItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ActivityListReposStarredByAuthenticatedUserResponseItemOwner;
-    permissions: ActivityListReposStarredByAuthenticatedUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-};
-declare type ActivityListNotificationsForRepoResponseItemSubject = {
-    latest_comment_url: string;
-    title: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListNotificationsForRepoResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListNotificationsForRepoResponseItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActivityListNotificationsForRepoResponseItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActivityListNotificationsForRepoResponseItem = {
-    id: string;
-    last_read_at: string;
-    reason: string;
-    repository: ActivityListNotificationsForRepoResponseItemRepository;
-    subject: ActivityListNotificationsForRepoResponseItemSubject;
-    unread: boolean;
-    updated_at: string;
-    url: string;
-};
-declare type ActivityListNotificationsResponseItemSubject = {
-    latest_comment_url: string;
-    title: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListNotificationsResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityListNotificationsResponseItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActivityListNotificationsResponseItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActivityListNotificationsResponseItem = {
-    id: string;
-    last_read_at: string;
-    reason: string;
-    repository: ActivityListNotificationsResponseItemRepository;
-    subject: ActivityListNotificationsResponseItemSubject;
-    unread: boolean;
-    updated_at: string;
-    url: string;
-};
-declare type ActivityListFeedsResponseLinksUser = {
-    href: string;
-    type: string;
-};
-declare type ActivityListFeedsResponseLinksTimeline = {
-    href: string;
-    type: string;
-};
-declare type ActivityListFeedsResponseLinksSecurityAdvisories = {
-    href: string;
-    type: string;
-};
-declare type ActivityListFeedsResponseLinksCurrentUserPublic = {
-    href: string;
-    type: string;
-};
-declare type ActivityListFeedsResponseLinksCurrentUserOrganizationsItem = {
-    href: string;
-    type: string;
-};
-declare type ActivityListFeedsResponseLinksCurrentUserOrganization = {
-    href: string;
-    type: string;
-};
-declare type ActivityListFeedsResponseLinksCurrentUserActor = {
-    href: string;
-    type: string;
-};
-declare type ActivityListFeedsResponseLinksCurrentUser = {
-    href: string;
-    type: string;
-};
-declare type ActivityListFeedsResponseLinks = {
-    current_user: ActivityListFeedsResponseLinksCurrentUser;
-    current_user_actor: ActivityListFeedsResponseLinksCurrentUserActor;
-    current_user_organization: ActivityListFeedsResponseLinksCurrentUserOrganization;
-    current_user_organizations: Array<ActivityListFeedsResponseLinksCurrentUserOrganizationsItem>;
-    current_user_public: ActivityListFeedsResponseLinksCurrentUserPublic;
-    security_advisories: ActivityListFeedsResponseLinksSecurityAdvisories;
-    timeline: ActivityListFeedsResponseLinksTimeline;
-    user: ActivityListFeedsResponseLinksUser;
-};
-declare type ActivityListFeedsResponse = {
-    _links: ActivityListFeedsResponseLinks;
-    current_user_actor_url: string;
-    current_user_organization_url: string;
-    current_user_organization_urls: Array<string>;
-    current_user_public_url: string;
-    current_user_url: string;
-    security_advisories_url: string;
-    timeline_url: string;
-    user_url: string;
-};
-declare type ActivityGetThreadSubscriptionResponse = {
-    created_at: string;
-    ignored: boolean;
-    reason: null;
-    subscribed: boolean;
-    thread_url: string;
-    url: string;
-};
-declare type ActivityGetThreadResponseSubject = {
-    latest_comment_url: string;
-    title: string;
-    type: string;
-    url: string;
-};
-declare type ActivityGetThreadResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActivityGetThreadResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActivityGetThreadResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActivityGetThreadResponse = {
-    id: string;
-    last_read_at: string;
-    reason: string;
-    repository: ActivityGetThreadResponseRepository;
-    subject: ActivityGetThreadResponseSubject;
-    unread: boolean;
-    updated_at: string;
-    url: string;
-};
-declare type ActivityGetRepoSubscriptionResponse = {
-    created_at: string;
-    ignored: boolean;
-    reason: null;
-    repository_url: string;
-    subscribed: boolean;
-    url: string;
-};
-declare type ActionsListWorkflowRunsResponseWorkflowRunsItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActionsListWorkflowRunsResponseWorkflowRunsItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsListWorkflowRunsResponseWorkflowRunsItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: null;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommitCommitter = {
-    email: string;
-    name: string;
-};
-declare type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommitAuthor = {
-    email: string;
-    name: string;
-};
-declare type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommit = {
-    author: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommitAuthor;
-    committer: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommitCommitter;
-    id: string;
-    message: string;
-    timestamp: string;
-    tree_id: string;
-};
-declare type ActionsListWorkflowRunsResponseWorkflowRunsItem = {
-    artifacts_url: string;
-    cancel_url: string;
-    check_suite_id: number;
-    conclusion: null;
-    created_at: string;
-    event: string;
-    head_branch: string;
-    head_commit: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommit;
-    head_repository: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadRepository;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    jobs_url: string;
-    logs_url: string;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ActionsListWorkflowRunsResponseWorkflowRunsItemRepository;
-    rerun_url: string;
-    run_number: number;
-    status: string;
-    updated_at: string;
-    url: string;
-    workflow_url: string;
-};
-declare type ActionsListWorkflowRunsResponse = {
-    total_count: number;
-    workflow_runs: Array<ActionsListWorkflowRunsResponseWorkflowRunsItem>;
-};
-declare type ActionsListWorkflowRunArtifactsResponseArtifactsItem = {
-    archive_download_url: string;
-    created_at: string;
-    expired: string;
-    expires_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    size_in_bytes: number;
-};
-declare type ActionsListWorkflowRunArtifactsResponse = {
-    artifacts: Array<ActionsListWorkflowRunArtifactsResponseArtifactsItem>;
-    total_count: number;
-};
-declare type ActionsListSelfHostedRunnersForRepoResponseItemItem = {
-    id: number;
-    name: string;
-    os: string;
-    status: string;
-};
-declare type ActionsListSecretsForRepoResponseSecretsItem = {
-    created_at: string;
-    name: string;
-    updated_at: string;
-};
-declare type ActionsListSecretsForRepoResponse = {
-    secrets: Array<ActionsListSecretsForRepoResponseSecretsItem>;
-    total_count: number;
-};
-declare type ActionsListRepoWorkflowsResponseWorkflowsItem = {
-    badge_url: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    path: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ActionsListRepoWorkflowsResponse = {
-    total_count: number;
-    workflows: Array<ActionsListRepoWorkflowsResponseWorkflowsItem>;
-};
-declare type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: null;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommitCommitter = {
-    email: string;
-    name: string;
-};
-declare type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommitAuthor = {
-    email: string;
-    name: string;
-};
-declare type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommit = {
-    author: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommitAuthor;
-    committer: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommitCommitter;
-    id: string;
-    message: string;
-    timestamp: string;
-    tree_id: string;
-};
-declare type ActionsListRepoWorkflowRunsResponseWorkflowRunsItem = {
-    artifacts_url: string;
-    cancel_url: string;
-    check_suite_id: number;
-    conclusion: null;
-    created_at: string;
-    event: string;
-    head_branch: string;
-    head_commit: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommit;
-    head_repository: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadRepository;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    jobs_url: string;
-    logs_url: string;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemRepository;
-    rerun_url: string;
-    run_number: number;
-    status: string;
-    updated_at: string;
-    url: string;
-    workflow_url: string;
-};
-declare type ActionsListRepoWorkflowRunsResponse = {
-    total_count: number;
-    workflow_runs: Array<ActionsListRepoWorkflowRunsResponseWorkflowRunsItem>;
-};
-declare type ActionsListJobsForWorkflowRunResponseJobsItemStepsItem = {
-    completed_at: string;
-    conclusion: string;
-    name: string;
-    number: number;
-    started_at: string;
-    status: string;
-};
-declare type ActionsListJobsForWorkflowRunResponseJobsItem = {
-    check_run_url: string;
-    completed_at: string;
-    conclusion: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    run_id: number;
-    run_url: string;
-    started_at: string;
-    status: string;
-    steps: Array<ActionsListJobsForWorkflowRunResponseJobsItemStepsItem>;
-    url: string;
-};
-declare type ActionsListJobsForWorkflowRunResponse = {
-    jobs: Array<ActionsListJobsForWorkflowRunResponseJobsItem>;
-    total_count: number;
-};
-declare type ActionsListDownloadsForSelfHostedRunnerApplicationResponseItem = {
-    architecture: string;
-    download_url: string;
-    filename: string;
-    os: string;
-};
-declare type ActionsGetWorkflowRunResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActionsGetWorkflowRunResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsGetWorkflowRunResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActionsGetWorkflowRunResponseHeadRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-};
-declare type ActionsGetWorkflowRunResponseHeadRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: null;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsGetWorkflowRunResponseHeadRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-};
-declare type ActionsGetWorkflowRunResponseHeadCommitCommitter = {
-    email: string;
-    name: string;
-};
-declare type ActionsGetWorkflowRunResponseHeadCommitAuthor = {
-    email: string;
-    name: string;
-};
-declare type ActionsGetWorkflowRunResponseHeadCommit = {
-    author: ActionsGetWorkflowRunResponseHeadCommitAuthor;
-    committer: ActionsGetWorkflowRunResponseHeadCommitCommitter;
-    id: string;
-    message: string;
-    timestamp: string;
-    tree_id: string;
-};
-declare type ActionsGetWorkflowRunResponse = {
-    artifacts_url: string;
-    cancel_url: string;
-    check_suite_id: number;
-    conclusion: null;
-    created_at: string;
-    event: string;
-    head_branch: string;
-    head_commit: ActionsGetWorkflowRunResponseHeadCommit;
-    head_repository: ActionsGetWorkflowRunResponseHeadRepository;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    jobs_url: string;
-    logs_url: string;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ActionsGetWorkflowRunResponseRepository;
-    rerun_url: string;
-    run_number: number;
-    status: string;
-    updated_at: string;
-    url: string;
-    workflow_url: string;
-};
-declare type ActionsGetWorkflowJobResponseStepsItem = {
-    completed_at: string;
-    conclusion: string;
-    name: string;
-    number: number;
-    started_at: string;
-    status: string;
-};
-declare type ActionsGetWorkflowJobResponse = {
-    check_run_url: string;
-    completed_at: string;
-    conclusion: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    run_id: number;
-    run_url: string;
-    started_at: string;
-    status: string;
-    steps: Array<ActionsGetWorkflowJobResponseStepsItem>;
-    url: string;
-};
-declare type ActionsGetWorkflowResponse = {
-    badge_url: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    path: string;
-    state: string;
-    updated_at: string;
-    url: string;
-};
-declare type ActionsGetSelfHostedRunnerResponse = {
-    id: number;
-    name: string;
-    os: string;
-    status: string;
-};
-declare type ActionsGetSecretResponse = {
-    created_at: string;
-    name: string;
-    updated_at: string;
-};
-declare type ActionsGetPublicKeyResponse = {
-    key: string;
-    key_id: string;
-};
-declare type ActionsGetArtifactResponse = {
-    archive_download_url: string;
-    created_at: string;
-    expired: string;
-    expires_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    size_in_bytes: number;
-};
-declare type ActionsCreateRemoveTokenResponse = {
-    expires_at: string;
-    token: string;
-};
-declare type ActionsCreateRegistrationTokenResponse = {
-    expires_at: string;
-    token: string;
-};
-declare type ActionsListDownloadsForSelfHostedRunnerApplicationResponse = Array<ActionsListDownloadsForSelfHostedRunnerApplicationResponseItem>;
-declare type ActionsListSelfHostedRunnersForRepoResponse = Array<Array<ActionsListSelfHostedRunnersForRepoResponseItemItem>>;
-declare type ActivityListNotificationsResponse = Array<ActivityListNotificationsResponseItem>;
-declare type ActivityListNotificationsForRepoResponse = Array<ActivityListNotificationsForRepoResponseItem>;
-declare type ActivityListReposStarredByAuthenticatedUserResponse = Array<ActivityListReposStarredByAuthenticatedUserResponseItem>;
-declare type ActivityListReposStarredByUserResponse = Array<ActivityListReposStarredByUserResponseItem>;
-declare type ActivityListReposWatchedByUserResponse = Array<ActivityListReposWatchedByUserResponseItem>;
-declare type ActivityListStargazersForRepoResponse = Array<ActivityListStargazersForRepoResponseItem>;
-declare type ActivityListWatchedReposForAuthenticatedUserResponse = Array<ActivityListWatchedReposForAuthenticatedUserResponseItem>;
-declare type ActivityListWatchersForRepoResponse = Array<ActivityListWatchersForRepoResponseItem>;
-declare type AppsListAccountsUserOrOrgOnPlanResponse = Array<AppsListAccountsUserOrOrgOnPlanResponseItem>;
-declare type AppsListAccountsUserOrOrgOnPlanStubbedResponse = Array<AppsListAccountsUserOrOrgOnPlanStubbedResponseItem>;
-declare type AppsListInstallationsResponse = Array<AppsListInstallationsResponseItem>;
-declare type AppsListMarketplacePurchasesForAuthenticatedUserResponse = Array<AppsListMarketplacePurchasesForAuthenticatedUserResponseItem>;
-declare type AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponse = Array<AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItem>;
-declare type AppsListPlansResponse = Array<AppsListPlansResponseItem>;
-declare type AppsListPlansStubbedResponse = Array<AppsListPlansStubbedResponseItem>;
-declare type ChecksListAnnotationsResponse = Array<ChecksListAnnotationsResponseItem>;
-declare type CodesOfConductListConductCodesResponse = Array<CodesOfConductListConductCodesResponseItem>;
-declare type GistsListResponse = Array<GistsListResponseItem>;
-declare type GistsListCommentsResponse = Array<GistsListCommentsResponseItem>;
-declare type GistsListCommitsResponse = Array<GistsListCommitsResponseItem>;
-declare type GistsListForksResponse = Array<GistsListForksResponseItem>;
-declare type GistsListPublicResponse = Array<GistsListPublicResponseItem>;
-declare type GistsListPublicForUserResponse = Array<GistsListPublicForUserResponseItem>;
-declare type GistsListStarredResponse = Array<GistsListStarredResponseItem>;
-declare type GitListMatchingRefsResponse = Array<GitListMatchingRefsResponseItem>;
-declare type GitignoreListTemplatesResponse = Array<string>;
-declare type IssuesAddLabelsResponse = Array<IssuesAddLabelsResponseItem>;
-declare type IssuesListResponse = Array<IssuesListResponseItem>;
-declare type IssuesListAssigneesResponse = Array<IssuesListAssigneesResponseItem>;
-declare type IssuesListCommentsResponse = Array<IssuesListCommentsResponseItem>;
-declare type IssuesListCommentsForRepoResponse = Array<IssuesListCommentsForRepoResponseItem>;
-declare type IssuesListEventsResponse = Array<IssuesListEventsResponseItem>;
-declare type IssuesListEventsForRepoResponse = Array<IssuesListEventsForRepoResponseItem>;
-declare type IssuesListEventsForTimelineResponse = Array<IssuesListEventsForTimelineResponseItem>;
-declare type IssuesListForAuthenticatedUserResponse = Array<IssuesListForAuthenticatedUserResponseItem>;
-declare type IssuesListForOrgResponse = Array<IssuesListForOrgResponseItem>;
-declare type IssuesListForRepoResponse = Array<IssuesListForRepoResponseItem>;
-declare type IssuesListLabelsForMilestoneResponse = Array<IssuesListLabelsForMilestoneResponseItem>;
-declare type IssuesListLabelsForRepoResponse = Array<IssuesListLabelsForRepoResponseItem>;
-declare type IssuesListLabelsOnIssueResponse = Array<IssuesListLabelsOnIssueResponseItem>;
-declare type IssuesListMilestonesForRepoResponse = Array<IssuesListMilestonesForRepoResponseItem>;
-declare type IssuesRemoveLabelResponse = Array<IssuesRemoveLabelResponseItem>;
-declare type IssuesReplaceLabelsResponse = Array<IssuesReplaceLabelsResponseItem>;
-declare type LicensesListResponse = Array<LicensesListResponseItem>;
-declare type LicensesListCommonlyUsedResponse = Array<LicensesListCommonlyUsedResponseItem>;
-declare type MigrationsGetCommitAuthorsResponse = Array<MigrationsGetCommitAuthorsResponseItem>;
-declare type MigrationsGetLargeFilesResponse = Array<MigrationsGetLargeFilesResponseItem>;
-declare type MigrationsListForAuthenticatedUserResponse = Array<MigrationsListForAuthenticatedUserResponseItem>;
-declare type MigrationsListForOrgResponse = Array<MigrationsListForOrgResponseItem>;
-declare type MigrationsListReposForOrgResponse = Array<MigrationsListReposForOrgResponseItem>;
-declare type MigrationsListReposForUserResponse = Array<MigrationsListReposForUserResponseItem>;
-declare type OauthAuthorizationsListAuthorizationsResponse = Array<OauthAuthorizationsListAuthorizationsResponseItem>;
-declare type OauthAuthorizationsListGrantsResponse = Array<OauthAuthorizationsListGrantsResponseItem>;
-declare type OrgsListResponse = Array<OrgsListResponseItem>;
-declare type OrgsListBlockedUsersResponse = Array<OrgsListBlockedUsersResponseItem>;
-declare type OrgsListForAuthenticatedUserResponse = Array<OrgsListForAuthenticatedUserResponseItem>;
-declare type OrgsListForUserResponse = Array<OrgsListForUserResponseItem>;
-declare type OrgsListHooksResponse = Array<OrgsListHooksResponseItem>;
-declare type OrgsListInvitationTeamsResponse = Array<OrgsListInvitationTeamsResponseItem>;
-declare type OrgsListMembersResponse = Array<OrgsListMembersResponseItem>;
-declare type OrgsListMembershipsResponse = Array<OrgsListMembershipsResponseItem>;
-declare type OrgsListOutsideCollaboratorsResponse = Array<OrgsListOutsideCollaboratorsResponseItem>;
-declare type OrgsListPendingInvitationsResponse = Array<OrgsListPendingInvitationsResponseItem>;
-declare type OrgsListPublicMembersResponse = Array<OrgsListPublicMembersResponseItem>;
-declare type ProjectsListCardsResponse = Array<ProjectsListCardsResponseItem>;
-declare type ProjectsListCollaboratorsResponse = Array<ProjectsListCollaboratorsResponseItem>;
-declare type ProjectsListColumnsResponse = Array<ProjectsListColumnsResponseItem>;
-declare type ProjectsListForOrgResponse = Array<ProjectsListForOrgResponseItem>;
-declare type ProjectsListForRepoResponse = Array<ProjectsListForRepoResponseItem>;
-declare type ProjectsListForUserResponse = Array<ProjectsListForUserResponseItem>;
-declare type PullsGetCommentsForReviewResponse = Array<PullsGetCommentsForReviewResponseItem>;
-declare type PullsListResponse = Array<PullsListResponseItem>;
-declare type PullsListCommentsResponse = Array<PullsListCommentsResponseItem>;
-declare type PullsListCommentsForRepoResponse = Array<PullsListCommentsForRepoResponseItem>;
-declare type PullsListCommitsResponse = Array<PullsListCommitsResponseItem>;
-declare type PullsListFilesResponse = Array<PullsListFilesResponseItem>;
-declare type PullsListReviewsResponse = Array<PullsListReviewsResponseItem>;
-declare type ReactionsListForCommitCommentResponse = Array<ReactionsListForCommitCommentResponseItem>;
-declare type ReactionsListForIssueResponse = Array<ReactionsListForIssueResponseItem>;
-declare type ReactionsListForIssueCommentResponse = Array<ReactionsListForIssueCommentResponseItem>;
-declare type ReactionsListForPullRequestReviewCommentResponse = Array<ReactionsListForPullRequestReviewCommentResponseItem>;
-declare type ReactionsListForTeamDiscussionResponse = Array<ReactionsListForTeamDiscussionResponseItem>;
-declare type ReactionsListForTeamDiscussionCommentResponse = Array<ReactionsListForTeamDiscussionCommentResponseItem>;
-declare type ReactionsListForTeamDiscussionCommentInOrgResponse = Array<ReactionsListForTeamDiscussionCommentInOrgResponseItem>;
-declare type ReactionsListForTeamDiscussionCommentLegacyResponse = Array<ReactionsListForTeamDiscussionCommentLegacyResponseItem>;
-declare type ReactionsListForTeamDiscussionInOrgResponse = Array<ReactionsListForTeamDiscussionInOrgResponseItem>;
-declare type ReactionsListForTeamDiscussionLegacyResponse = Array<ReactionsListForTeamDiscussionLegacyResponseItem>;
-declare type ReposAddProtectedBranchAppRestrictionsResponse = Array<ReposAddProtectedBranchAppRestrictionsResponseItem>;
-declare type ReposAddProtectedBranchRequiredStatusChecksContextsResponse = Array<string>;
-declare type ReposAddProtectedBranchTeamRestrictionsResponse = Array<ReposAddProtectedBranchTeamRestrictionsResponseItem>;
-declare type ReposAddProtectedBranchUserRestrictionsResponse = Array<ReposAddProtectedBranchUserRestrictionsResponseItem>;
-declare type ReposGetAppsWithAccessToProtectedBranchResponse = Array<ReposGetAppsWithAccessToProtectedBranchResponseItem>;
-declare type ReposGetCodeFrequencyStatsResponse = Array<Array<number>>;
-declare type ReposGetCommitActivityStatsResponse = Array<ReposGetCommitActivityStatsResponseItem>;
-declare type ReposGetContributorsStatsResponse = Array<ReposGetContributorsStatsResponseItem>;
-declare type ReposGetPunchCardStatsResponse = Array<Array<number>>;
-declare type ReposGetTeamsWithAccessToProtectedBranchResponse = Array<ReposGetTeamsWithAccessToProtectedBranchResponseItem>;
-declare type ReposGetTopPathsResponse = Array<ReposGetTopPathsResponseItem>;
-declare type ReposGetTopReferrersResponse = Array<ReposGetTopReferrersResponseItem>;
-declare type ReposGetUsersWithAccessToProtectedBranchResponse = Array<ReposGetUsersWithAccessToProtectedBranchResponseItem>;
-declare type ReposListAppsWithAccessToProtectedBranchResponse = Array<ReposListAppsWithAccessToProtectedBranchResponseItem>;
-declare type ReposListAssetsForReleaseResponse = Array<ReposListAssetsForReleaseResponseItem>;
-declare type ReposListBranchesResponse = Array<ReposListBranchesResponseItem>;
-declare type ReposListBranchesForHeadCommitResponse = Array<ReposListBranchesForHeadCommitResponseItem>;
-declare type ReposListCollaboratorsResponse = Array<ReposListCollaboratorsResponseItem>;
-declare type ReposListCommentsForCommitResponse = Array<ReposListCommentsForCommitResponseItem>;
-declare type ReposListCommitCommentsResponse = Array<ReposListCommitCommentsResponseItem>;
-declare type ReposListCommitsResponse = Array<ReposListCommitsResponseItem>;
-declare type ReposListContributorsResponse = Array<ReposListContributorsResponseItem>;
-declare type ReposListDeployKeysResponse = Array<ReposListDeployKeysResponseItem>;
-declare type ReposListDeploymentStatusesResponse = Array<ReposListDeploymentStatusesResponseItem>;
-declare type ReposListDeploymentsResponse = Array<ReposListDeploymentsResponseItem>;
-declare type ReposListDownloadsResponse = Array<ReposListDownloadsResponseItem>;
-declare type ReposListForOrgResponse = Array<ReposListForOrgResponseItem>;
-declare type ReposListForksResponse = Array<ReposListForksResponseItem>;
-declare type ReposListHooksResponse = Array<ReposListHooksResponseItem>;
-declare type ReposListInvitationsResponse = Array<ReposListInvitationsResponseItem>;
-declare type ReposListInvitationsForAuthenticatedUserResponse = Array<ReposListInvitationsForAuthenticatedUserResponseItem>;
-declare type ReposListPagesBuildsResponse = Array<ReposListPagesBuildsResponseItem>;
-declare type ReposListProtectedBranchRequiredStatusChecksContextsResponse = Array<string>;
-declare type ReposListProtectedBranchTeamRestrictionsResponse = Array<ReposListProtectedBranchTeamRestrictionsResponseItem>;
-declare type ReposListProtectedBranchUserRestrictionsResponse = Array<ReposListProtectedBranchUserRestrictionsResponseItem>;
-declare type ReposListPublicResponse = Array<ReposListPublicResponseItem>;
-declare type ReposListPullRequestsAssociatedWithCommitResponse = Array<ReposListPullRequestsAssociatedWithCommitResponseItem>;
-declare type ReposListReleasesResponse = Array<ReposListReleasesResponseItem>;
-declare type ReposListStatusesForRefResponse = Array<ReposListStatusesForRefResponseItem>;
-declare type ReposListTagsResponse = Array<ReposListTagsResponseItem>;
-declare type ReposListTeamsResponse = Array<ReposListTeamsResponseItem>;
-declare type ReposListTeamsWithAccessToProtectedBranchResponse = Array<ReposListTeamsWithAccessToProtectedBranchResponseItem>;
-declare type ReposListUsersWithAccessToProtectedBranchResponse = Array<ReposListUsersWithAccessToProtectedBranchResponseItem>;
-declare type ReposRemoveProtectedBranchAppRestrictionsResponse = Array<ReposRemoveProtectedBranchAppRestrictionsResponseItem>;
-declare type ReposRemoveProtectedBranchRequiredStatusChecksContextsResponse = Array<string>;
-declare type ReposRemoveProtectedBranchTeamRestrictionsResponse = Array<ReposRemoveProtectedBranchTeamRestrictionsResponseItem>;
-declare type ReposRemoveProtectedBranchUserRestrictionsResponse = Array<ReposRemoveProtectedBranchUserRestrictionsResponseItem>;
-declare type ReposReplaceProtectedBranchAppRestrictionsResponse = Array<ReposReplaceProtectedBranchAppRestrictionsResponseItem>;
-declare type ReposReplaceProtectedBranchRequiredStatusChecksContextsResponse = Array<string>;
-declare type ReposReplaceProtectedBranchTeamRestrictionsResponse = Array<ReposReplaceProtectedBranchTeamRestrictionsResponseItem>;
-declare type ReposReplaceProtectedBranchUserRestrictionsResponse = Array<ReposReplaceProtectedBranchUserRestrictionsResponseItem>;
-declare type TeamsListResponse = Array<TeamsListResponseItem>;
-declare type TeamsListChildResponse = Array<TeamsListChildResponseItem>;
-declare type TeamsListChildInOrgResponse = Array<TeamsListChildInOrgResponseItem>;
-declare type TeamsListChildLegacyResponse = Array<TeamsListChildLegacyResponseItem>;
-declare type TeamsListDiscussionCommentsResponse = Array<TeamsListDiscussionCommentsResponseItem>;
-declare type TeamsListDiscussionCommentsInOrgResponse = Array<TeamsListDiscussionCommentsInOrgResponseItem>;
-declare type TeamsListDiscussionCommentsLegacyResponse = Array<TeamsListDiscussionCommentsLegacyResponseItem>;
-declare type TeamsListDiscussionsResponse = Array<TeamsListDiscussionsResponseItem>;
-declare type TeamsListDiscussionsInOrgResponse = Array<TeamsListDiscussionsInOrgResponseItem>;
-declare type TeamsListDiscussionsLegacyResponse = Array<TeamsListDiscussionsLegacyResponseItem>;
-declare type TeamsListForAuthenticatedUserResponse = Array<TeamsListForAuthenticatedUserResponseItem>;
-declare type TeamsListMembersResponse = Array<TeamsListMembersResponseItem>;
-declare type TeamsListMembersInOrgResponse = Array<TeamsListMembersInOrgResponseItem>;
-declare type TeamsListMembersLegacyResponse = Array<TeamsListMembersLegacyResponseItem>;
-declare type TeamsListPendingInvitationsResponse = Array<TeamsListPendingInvitationsResponseItem>;
-declare type TeamsListPendingInvitationsInOrgResponse = Array<TeamsListPendingInvitationsInOrgResponseItem>;
-declare type TeamsListPendingInvitationsLegacyResponse = Array<TeamsListPendingInvitationsLegacyResponseItem>;
-declare type TeamsListProjectsResponse = Array<TeamsListProjectsResponseItem>;
-declare type TeamsListProjectsInOrgResponse = Array<TeamsListProjectsInOrgResponseItem>;
-declare type TeamsListProjectsLegacyResponse = Array<TeamsListProjectsLegacyResponseItem>;
-declare type TeamsListReposResponse = Array<TeamsListReposResponseItem>;
-declare type TeamsListReposInOrgResponse = Array<TeamsListReposInOrgResponseItem>;
-declare type TeamsListReposLegacyResponse = Array<TeamsListReposLegacyResponseItem>;
-declare type UsersAddEmailsResponse = Array<UsersAddEmailsResponseItem>;
-declare type UsersListResponse = Array<UsersListResponseItem>;
-declare type UsersListBlockedResponse = Array<UsersListBlockedResponseItem>;
-declare type UsersListEmailsResponse = Array<UsersListEmailsResponseItem>;
-declare type UsersListFollowersForAuthenticatedUserResponse = Array<UsersListFollowersForAuthenticatedUserResponseItem>;
-declare type UsersListFollowersForUserResponse = Array<UsersListFollowersForUserResponseItem>;
-declare type UsersListFollowingForAuthenticatedUserResponse = Array<UsersListFollowingForAuthenticatedUserResponseItem>;
-declare type UsersListFollowingForUserResponse = Array<UsersListFollowingForUserResponseItem>;
-declare type UsersListGpgKeysResponse = Array<UsersListGpgKeysResponseItem>;
-declare type UsersListGpgKeysForUserResponse = Array<UsersListGpgKeysForUserResponseItem>;
-declare type UsersListPublicEmailsResponse = Array<UsersListPublicEmailsResponseItem>;
-declare type UsersListPublicKeysResponse = Array<UsersListPublicKeysResponseItem>;
-declare type UsersListPublicKeysForUserResponse = Array<UsersListPublicKeysForUserResponseItem>;
-declare type UsersTogglePrimaryEmailVisibilityResponse = Array<UsersTogglePrimaryEmailVisibilityResponseItem>;
-export declare type ActionsCancelWorkflowRunParams = {
-    owner: string;
-    repo: string;
-    run_id: number;
-};
-export declare type ActionsCreateOrUpdateSecretForRepoParams = {
-    /**
-     * Value for your secret, encrypted with [LibSodium](https://libsodium.gitbook.io/doc/bindings_for_other_languages) using the public key retrieved from the [Get your public key](https://developer.github.com/v3/actions/secrets/#get-your-public-key) endpoint.
-     */
-    encrypted_value?: string;
-    /**
-     * ID of the key you used to encrypt the secret.
-     */
-    key_id?: string;
-    name: string;
-    owner: string;
-    repo: string;
-};
-export declare type ActionsCreateRegistrationTokenParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActionsCreateRemoveTokenParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActionsDeleteArtifactParams = {
-    artifact_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ActionsDeleteSecretFromRepoParams = {
-    name: string;
-    owner: string;
-    repo: string;
-};
-export declare type ActionsDownloadArtifactParams = {
-    archive_format: string;
-    artifact_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ActionsGetArtifactParams = {
-    artifact_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ActionsGetPublicKeyParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActionsGetSecretParams = {
-    name: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActionsGetSelfHostedRunnerParams = {
-    owner: string;
-    repo: string;
-    runner_id: number;
-};
-export declare type ActionsGetWorkflowParams = {
-    owner: string;
-    repo: string;
-    workflow_id: number;
-};
-export declare type ActionsGetWorkflowJobParams = {
-    job_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ActionsGetWorkflowRunParams = {
-    owner: string;
-    repo: string;
-    run_id: number;
-};
-export declare type ActionsListDownloadsForSelfHostedRunnerApplicationParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActionsListJobsForWorkflowRunParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    run_id: number;
-};
-export declare type ActionsListRepoWorkflowRunsParams = {
-    /**
-     * Returns someone's workflow runs. Use the login for the user who created the `push` associated with the check suite or workflow run.
-     */
-    actor?: string;
-    /**
-     * Returns workflow runs associated with a branch. Use the name of the branch of the `push`.
-     */
-    branch?: string;
-    /**
-     * Returns workflow run triggered by the event you specify. For example, `push`, `pull_request` or `issue`. For more information, see "[Events that trigger workflows](https://help.github.com/en/actions/automating-your-workflow-with-github-actions/events-that-trigger-workflows)" in the GitHub Help documentation.
-     */
-    event?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * Returns workflow runs associated with the check run `status` or `conclusion` you specify. For example, a conclusion can be `success` or a status can be `completed`. For more information, see the `status` and `conclusion` options available in "[Create a check run](https://developer.github.com/v3/checks/runs/#create-a-check-run)."
-     */
-    status?: "completed" | "status" | "conclusion";
-};
-export declare type ActionsListRepoWorkflowsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActionsListSecretsForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActionsListSelfHostedRunnersForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActionsListWorkflowJobLogsParams = {
-    job_id: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActionsListWorkflowRunArtifactsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    run_id: number;
-};
-export declare type ActionsListWorkflowRunLogsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    run_id: number;
-};
-export declare type ActionsListWorkflowRunsParams = {
-    /**
-     * Returns someone's workflow runs. Use the login for the user who created the `push` associated with the check suite or workflow run.
-     */
-    actor?: string;
-    /**
-     * Returns workflow runs associated with a branch. Use the name of the branch of the `push`.
-     */
-    branch?: string;
-    /**
-     * Returns workflow run triggered by the event you specify. For example, `push`, `pull_request` or `issue`. For more information, see "[Events that trigger workflows](https://help.github.com/en/actions/automating-your-workflow-with-github-actions/events-that-trigger-workflows)" in the GitHub Help documentation.
-     */
-    event?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * Returns workflow runs associated with the check run `status` or `conclusion` you specify. For example, a conclusion can be `success` or a status can be `completed`. For more information, see the `status` and `conclusion` options available in "[Create a check run](https://developer.github.com/v3/checks/runs/#create-a-check-run)."
-     */
-    status?: "completed" | "status" | "conclusion";
-    workflow_id: number;
-};
-export declare type ActionsReRunWorkflowParams = {
-    owner: string;
-    repo: string;
-    run_id: number;
-};
-export declare type ActionsRemoveSelfHostedRunnerParams = {
-    owner: string;
-    repo: string;
-    runner_id: number;
-};
-export declare type ActivityCheckStarringRepoParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActivityCheckWatchingRepoLegacyParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActivityDeleteRepoSubscriptionParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActivityDeleteThreadSubscriptionParams = {
-    thread_id: number;
-};
-export declare type ActivityGetRepoSubscriptionParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActivityGetThreadParams = {
-    thread_id: number;
-};
-export declare type ActivityGetThreadSubscriptionParams = {
-    thread_id: number;
-};
-export declare type ActivityListEventsForOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type ActivityListEventsForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type ActivityListNotificationsParams = {
-    /**
-     * If `true`, show notifications marked as read.
-     */
-    all?: boolean;
-    /**
-     * Only show notifications updated before the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    before?: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * If `true`, only shows notifications in which the user is directly participating or mentioned.
-     */
-    participating?: boolean;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Only show notifications updated after the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-};
-export declare type ActivityListNotificationsForRepoParams = {
-    /**
-     * If `true`, show notifications marked as read.
-     */
-    all?: boolean;
-    /**
-     * Only show notifications updated before the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    before?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * If `true`, only shows notifications in which the user is directly participating or mentioned.
-     */
-    participating?: boolean;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * Only show notifications updated after the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-};
-export declare type ActivityListPublicEventsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type ActivityListPublicEventsForOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type ActivityListPublicEventsForRepoNetworkParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActivityListPublicEventsForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type ActivityListReceivedEventsForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type ActivityListReceivedPublicEventsForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type ActivityListRepoEventsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActivityListReposStarredByAuthenticatedUserParams = {
-    /**
-     * One of `asc` (ascending) or `desc` (descending).
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * One of `created` (when the repository was starred) or `updated` (when it was last pushed to).
-     */
-    sort?: "created" | "updated";
-};
-export declare type ActivityListReposStarredByUserParams = {
-    /**
-     * One of `asc` (ascending) or `desc` (descending).
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * One of `created` (when the repository was starred) or `updated` (when it was last pushed to).
-     */
-    sort?: "created" | "updated";
-    username: string;
-};
-export declare type ActivityListReposWatchedByUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type ActivityListStargazersForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActivityListWatchedReposForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type ActivityListWatchersForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ActivityMarkAsReadParams = {
-    /**
-     * Describes the last point that notifications were checked. Anything updated since this time will not be updated. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Default: The current timestamp.
-     */
-    last_read_at?: string;
-};
-export declare type ActivityMarkNotificationsAsReadForRepoParams = {
-    /**
-     * Describes the last point that notifications were checked. Anything updated since this time will not be updated. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Default: The current timestamp.
-     */
-    last_read_at?: string;
-    owner: string;
-    repo: string;
-};
-export declare type ActivityMarkThreadAsReadParams = {
-    thread_id: number;
-};
-export declare type ActivitySetRepoSubscriptionParams = {
-    /**
-     * Determines if all notifications should be blocked from this repository.
-     */
-    ignored?: boolean;
-    owner: string;
-    repo: string;
-    /**
-     * Determines if notifications should be received from this repository.
-     */
-    subscribed?: boolean;
-};
-export declare type ActivitySetThreadSubscriptionParams = {
-    /**
-     * Unsubscribes and subscribes you to a conversation. Set `ignored` to `true` to block all notifications from this thread.
-     */
-    ignored?: boolean;
-    thread_id: number;
-};
-export declare type ActivityStarRepoParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActivityStopWatchingRepoLegacyParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActivityUnstarRepoParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ActivityWatchRepoLegacyParams = {
-    owner: string;
-    repo: string;
-};
-export declare type AppsAddRepoToInstallationParams = {
-    installation_id: number;
-    repository_id: number;
-};
-export declare type AppsCheckAccountIsAssociatedWithAnyParams = {
-    account_id: number;
-};
-export declare type AppsCheckAccountIsAssociatedWithAnyStubbedParams = {
-    account_id: number;
-};
-export declare type AppsCheckAuthorizationParams = {
-    access_token: string;
-    client_id: string;
-};
-export declare type AppsCheckTokenParams = {
-    /**
-     * The OAuth access token used to authenticate to the GitHub API.
-     */
-    access_token?: string;
-    client_id: string;
-};
-export declare type AppsCreateContentAttachmentParams = {
-    /**
-     * The body text of the content attachment displayed in the body or comment of an issue or pull request. This parameter supports markdown.
-     */
-    body: string;
-    content_reference_id: number;
-    /**
-     * The title of the content attachment displayed in the body or comment of an issue or pull request.
-     */
-    title: string;
-};
-export declare type AppsCreateFromManifestParams = {
-    code: string;
-};
-export declare type AppsCreateInstallationTokenParams = {
-    installation_id: number;
-    /**
-     * The permissions granted to the access token. The permissions object includes the permission names and their access type. For a complete list of permissions and allowable values, see "[GitHub App permissions](https://developer.github.com/apps/building-github-apps/creating-github-apps-using-url-parameters/#github-app-permissions)."
-     */
-    permissions?: AppsCreateInstallationTokenParamsPermissions;
-    /**
-     * The `id`s of the repositories that the installation token can access. Providing repository `id`s restricts the access of an installation token to specific repositories. You can use the "[List repositories](https://developer.github.com/v3/apps/installations/#list-repositories)" endpoint to get the `id` of all repositories that an installation can access. For example, you can select specific repositories when creating an installation token to restrict the number of repositories that can be cloned using the token.
-     */
-    repository_ids?: number[];
-};
-export declare type AppsDeleteAuthorizationParams = {
-    /**
-     * The OAuth access token used to authenticate to the GitHub API.
-     */
-    access_token?: string;
-    client_id: string;
-};
-export declare type AppsDeleteInstallationParams = {
-    installation_id: number;
-};
-export declare type AppsDeleteTokenParams = {
-    /**
-     * The OAuth access token used to authenticate to the GitHub API.
-     */
-    access_token?: string;
-    client_id: string;
-};
-export declare type AppsFindOrgInstallationParams = {
-    org: string;
-};
-export declare type AppsFindRepoInstallationParams = {
-    owner: string;
-    repo: string;
-};
-export declare type AppsFindUserInstallationParams = {
-    username: string;
-};
-export declare type AppsGetBySlugParams = {
-    app_slug: string;
-};
-export declare type AppsGetInstallationParams = {
-    installation_id: number;
-};
-export declare type AppsGetOrgInstallationParams = {
-    org: string;
-};
-export declare type AppsGetRepoInstallationParams = {
-    owner: string;
-    repo: string;
-};
-export declare type AppsGetUserInstallationParams = {
-    username: string;
-};
-export declare type AppsListAccountsUserOrOrgOnPlanParams = {
-    /**
-     * To return the oldest accounts first, set to `asc`. Can be one of `asc` or `desc`. Ignored without the `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    plan_id: number;
-    /**
-     * Sorts the GitHub accounts by the date they were created or last updated. Can be one of `created` or `updated`.
-     */
-    sort?: "created" | "updated";
-};
-export declare type AppsListAccountsUserOrOrgOnPlanStubbedParams = {
-    /**
-     * To return the oldest accounts first, set to `asc`. Can be one of `asc` or `desc`. Ignored without the `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    plan_id: number;
-    /**
-     * Sorts the GitHub accounts by the date they were created or last updated. Can be one of `created` or `updated`.
-     */
-    sort?: "created" | "updated";
-};
-export declare type AppsListInstallationReposForAuthenticatedUserParams = {
-    installation_id: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type AppsListInstallationsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type AppsListInstallationsForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type AppsListMarketplacePurchasesForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type AppsListMarketplacePurchasesForAuthenticatedUserStubbedParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type AppsListPlansParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type AppsListPlansStubbedParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type AppsListReposParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type AppsRemoveRepoFromInstallationParams = {
-    installation_id: number;
-    repository_id: number;
-};
-export declare type AppsResetAuthorizationParams = {
-    access_token: string;
-    client_id: string;
-};
-export declare type AppsResetTokenParams = {
-    /**
-     * The OAuth access token used to authenticate to the GitHub API.
-     */
-    access_token?: string;
-    client_id: string;
-};
-export declare type AppsRevokeAuthorizationForApplicationParams = {
-    access_token: string;
-    client_id: string;
-};
-export declare type AppsRevokeGrantForApplicationParams = {
-    access_token: string;
-    client_id: string;
-};
-export declare type ChecksCreateParams = {
-    /**
-     * Displays a button on GitHub that can be clicked to alert your app to do additional tasks. For example, a code linting app can display a button that automatically fixes detected errors. The button created in this object is displayed after the check run completes. When a user clicks the button, GitHub sends the [`check_run.requested_action` webhook](https://developer.github.com/v3/activity/events/types/#checkrunevent) to your app. Each action includes a `label`, `identifier` and `description`. A maximum of three actions are accepted. See the [`actions` object](https://developer.github.com/v3/checks/runs/#actions-object) description. To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)." To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)."
-     */
-    actions?: ChecksCreateParamsActions[];
-    /**
-     * The time the check completed. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    completed_at?: string;
-    /**
-     * **Required if you provide `completed_at` or a `status` of `completed`**. The final conclusion of the check. Can be one of `success`, `failure`, `neutral`, `cancelled`, `timed_out`, or `action_required`. When the conclusion is `action_required`, additional details should be provided on the site specified by `details_url`.
-     * **Note:** Providing `conclusion` will automatically set the `status` parameter to `completed`.
-     */
-    conclusion?: "success" | "failure" | "neutral" | "cancelled" | "timed_out" | "action_required";
-    /**
-     * The URL of the integrator's site that has the full details of the check.
-     */
-    details_url?: string;
-    /**
-     * A reference for the run on the integrator's system.
-     */
-    external_id?: string;
-    /**
-     * The SHA of the commit.
-     */
-    head_sha: string;
-    /**
-     * The name of the check. For example, "code-coverage".
-     */
-    name: string;
-    /**
-     * Check runs can accept a variety of data in the `output` object, including a `title` and `summary` and can optionally provide descriptive details about the run. See the [`output` object](https://developer.github.com/v3/checks/runs/#output-object) description.
-     */
-    output?: ChecksCreateParamsOutput;
-    owner: string;
-    repo: string;
-    /**
-     * The time that the check run began. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    started_at?: string;
-    /**
-     * The current status. Can be one of `queued`, `in_progress`, or `completed`.
-     */
-    status?: "queued" | "in_progress" | "completed";
-};
-export declare type ChecksCreateSuiteParams = {
-    /**
-     * The sha of the head commit.
-     */
-    head_sha: string;
-    owner: string;
-    repo: string;
-};
-export declare type ChecksGetParams = {
-    check_run_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ChecksGetSuiteParams = {
-    check_suite_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ChecksListAnnotationsParams = {
-    check_run_id: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ChecksListForRefParams = {
-    /**
-     * Returns check runs with the specified `name`.
-     */
-    check_name?: string;
-    /**
-     * Filters check runs by their `completed_at` timestamp. Can be one of `latest` (returning the most recent check runs) or `all`.
-     */
-    filter?: "latest" | "all";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    ref: string;
-    repo: string;
-    /**
-     * Returns check runs with the specified `status`. Can be one of `queued`, `in_progress`, or `completed`.
-     */
-    status?: "queued" | "in_progress" | "completed";
-};
-export declare type ChecksListForSuiteParams = {
-    /**
-     * Returns check runs with the specified `name`.
-     */
-    check_name?: string;
-    check_suite_id: number;
-    /**
-     * Filters check runs by their `completed_at` timestamp. Can be one of `latest` (returning the most recent check runs) or `all`.
-     */
-    filter?: "latest" | "all";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * Returns check runs with the specified `status`. Can be one of `queued`, `in_progress`, or `completed`.
-     */
-    status?: "queued" | "in_progress" | "completed";
-};
-export declare type ChecksListSuitesForRefParams = {
-    /**
-     * Filters check suites by GitHub App `id`.
-     */
-    app_id?: number;
-    /**
-     * Filters checks suites by the name of the [check run](https://developer.github.com/v3/checks/runs/).
-     */
-    check_name?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    ref: string;
-    repo: string;
-};
-export declare type ChecksRerequestSuiteParams = {
-    check_suite_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ChecksSetSuitesPreferencesParams = {
-    /**
-     * Enables or disables automatic creation of CheckSuite events upon pushes to the repository. Enabled by default. See the [`auto_trigger_checks` object](https://developer.github.com/v3/checks/suites/#auto_trigger_checks-object) description for details.
-     */
-    auto_trigger_checks?: ChecksSetSuitesPreferencesParamsAutoTriggerChecks[];
-    owner: string;
-    repo: string;
-};
-export declare type ChecksUpdateParams = {
-    /**
-     * Possible further actions the integrator can perform, which a user may trigger. Each action includes a `label`, `identifier` and `description`. A maximum of three actions are accepted. See the [`actions` object](https://developer.github.com/v3/checks/runs/#actions-object) description. To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)."
-     */
-    actions?: ChecksUpdateParamsActions[];
-    check_run_id: number;
-    /**
-     * The time the check completed. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    completed_at?: string;
-    /**
-     * **Required if you provide `completed_at` or a `status` of `completed`**. The final conclusion of the check. Can be one of `success`, `failure`, `neutral`, `cancelled`, `timed_out`, or `action_required`.
-     * **Note:** Providing `conclusion` will automatically set the `status` parameter to `completed`.
-     */
-    conclusion?: "success" | "failure" | "neutral" | "cancelled" | "timed_out" | "action_required";
-    /**
-     * The URL of the integrator's site that has the full details of the check.
-     */
-    details_url?: string;
-    /**
-     * A reference for the run on the integrator's system.
-     */
-    external_id?: string;
-    /**
-     * The name of the check. For example, "code-coverage".
-     */
-    name?: string;
-    /**
-     * Check runs can accept a variety of data in the `output` object, including a `title` and `summary` and can optionally provide descriptive details about the run. See the [`output` object](https://developer.github.com/v3/checks/runs/#output-object-1) description.
-     */
-    output?: ChecksUpdateParamsOutput;
-    owner: string;
-    repo: string;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    started_at?: string;
-    /**
-     * The current status. Can be one of `queued`, `in_progress`, or `completed`.
-     */
-    status?: "queued" | "in_progress" | "completed";
-};
-export declare type CodesOfConductGetConductCodeParams = {
-    key: string;
-};
-export declare type CodesOfConductGetForRepoParams = {
-    owner: string;
-    repo: string;
-};
-export declare type GistsCheckIsStarredParams = {
-    gist_id: string;
-};
-export declare type GistsCreateParams = {
-    /**
-     * A descriptive name for this gist.
-     */
-    description?: string;
-    /**
-     * The filenames and content of each file in the gist. The keys in the `files` object represent the filename and have the type `string`.
-     */
-    files: GistsCreateParamsFiles;
-    /**
-     * When `true`, the gist will be public and available for anyone to see.
-     */
-    public?: boolean;
-};
-export declare type GistsCreateCommentParams = {
-    /**
-     * The comment text.
-     */
-    body: string;
-    gist_id: string;
-};
-export declare type GistsDeleteParams = {
-    gist_id: string;
-};
-export declare type GistsDeleteCommentParams = {
-    comment_id: number;
-    gist_id: string;
-};
-export declare type GistsForkParams = {
-    gist_id: string;
-};
-export declare type GistsGetParams = {
-    gist_id: string;
-};
-export declare type GistsGetCommentParams = {
-    comment_id: number;
-    gist_id: string;
-};
-export declare type GistsGetRevisionParams = {
-    gist_id: string;
-    sha: string;
-};
-export declare type GistsListParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-     */
-    since?: string;
-};
-export declare type GistsListCommentsParams = {
-    gist_id: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type GistsListCommitsParams = {
-    gist_id: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type GistsListForksParams = {
-    gist_id: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type GistsListPublicParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-     */
-    since?: string;
-};
-export declare type GistsListPublicForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-     */
-    since?: string;
-    username: string;
-};
-export declare type GistsListStarredParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-     */
-    since?: string;
-};
-export declare type GistsStarParams = {
-    gist_id: string;
-};
-export declare type GistsUnstarParams = {
-    gist_id: string;
-};
-export declare type GistsUpdateParams = {
-    /**
-     * A descriptive name for this gist.
-     */
-    description?: string;
-    /**
-     * The filenames and content that make up this gist.
-     */
-    files?: GistsUpdateParamsFiles;
-    gist_id: string;
-};
-export declare type GistsUpdateCommentParams = {
-    /**
-     * The comment text.
-     */
-    body: string;
-    comment_id: number;
-    gist_id: string;
-};
-export declare type GitCreateBlobParams = {
-    /**
-     * The new blob's content.
-     */
-    content: string;
-    /**
-     * The encoding used for `content`. Currently, `"utf-8"` and `"base64"` are supported.
-     */
-    encoding?: string;
-    owner: string;
-    repo: string;
-};
-export declare type GitCreateCommitParams = {
-    /**
-     * Information about the author of the commit. By default, the `author` will be the authenticated user and the current date. See the `author` and `committer` object below for details.
-     */
-    author?: GitCreateCommitParamsAuthor;
-    /**
-     * Information about the person who is making the commit. By default, `committer` will use the information set in `author`. See the `author` and `committer` object below for details.
-     */
-    committer?: GitCreateCommitParamsCommitter;
-    /**
-     * The commit message
-     */
-    message: string;
-    owner: string;
-    /**
-     * The SHAs of the commits that were the parents of this commit. If omitted or empty, the commit will be written as a root commit. For a single parent, an array of one SHA should be provided; for a merge commit, an array of more than one should be provided.
-     */
-    parents: string[];
-    repo: string;
-    /**
-     * The [PGP signature](https://en.wikipedia.org/wiki/Pretty_Good_Privacy) of the commit. GitHub adds the signature to the `gpgsig` header of the created commit. For a commit signature to be verifiable by Git or GitHub, it must be an ASCII-armored detached PGP signature over the string commit as it would be written to the object database. To pass a `signature` parameter, you need to first manually create a valid PGP signature, which can be complicated. You may find it easier to [use the command line](https://git-scm.com/book/id/v2/Git-Tools-Signing-Your-Work) to create signed commits.
-     */
-    signature?: string;
-    /**
-     * The SHA of the tree object this commit points to
-     */
-    tree: string;
-};
-export declare type GitCreateRefParams = {
-    owner: string;
-    /**
-     * The name of the fully qualified reference (ie: `refs/heads/master`). If it doesn't start with 'refs' and have at least two slashes, it will be rejected.
-     */
-    ref: string;
-    repo: string;
-    /**
-     * The SHA1 value for this reference.
-     */
-    sha: string;
-};
-export declare type GitCreateTagParams = {
-    /**
-     * The tag message.
-     */
-    message: string;
-    /**
-     * The SHA of the git object this is tagging.
-     */
-    object: string;
-    owner: string;
-    repo: string;
-    /**
-     * The tag's name. This is typically a version (e.g., "v0.0.1").
-     */
-    tag: string;
-    /**
-     * An object with information about the individual creating the tag.
-     */
-    tagger?: GitCreateTagParamsTagger;
-    /**
-     * The type of the object we're tagging. Normally this is a `commit` but it can also be a `tree` or a `blob`.
-     */
-    type: "commit" | "tree" | "blob";
-};
-export declare type GitCreateTreeParams = {
-    /**
-     * The SHA1 of the tree you want to update with new data. If you don't set this, the commit will be created on top of everything; however, it will only contain your change, the rest of your files will show up as deleted.
-     */
-    base_tree?: string;
-    owner: string;
-    repo: string;
-    /**
-     * Objects (of `path`, `mode`, `type`, and `sha`) specifying a tree structure.
-     */
-    tree: GitCreateTreeParamsTree[];
-};
-export declare type GitDeleteRefParams = {
-    owner: string;
-    ref: string;
-    repo: string;
-};
-export declare type GitGetBlobParams = {
-    file_sha: string;
-    owner: string;
-    repo: string;
-};
-export declare type GitGetCommitParams = {
-    commit_sha: string;
-    owner: string;
-    repo: string;
-};
-export declare type GitGetRefParams = {
-    owner: string;
-    ref: string;
-    repo: string;
-};
-export declare type GitGetTagParams = {
-    owner: string;
-    repo: string;
-    tag_sha: string;
-};
-export declare type GitGetTreeParams = {
-    owner: string;
-    recursive?: "1";
-    repo: string;
-    tree_sha: string;
-};
-export declare type GitListMatchingRefsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    ref: string;
-    repo: string;
-};
-export declare type GitListRefsParams = {
-    /**
-     * Filter by sub-namespace (reference prefix). Most commen examples would be `'heads/'` and `'tags/'` to retrieve branches or tags
-     */
-    namespace?: string;
-    owner: string;
-    page?: number;
-    per_page?: number;
-    repo: string;
-};
-export declare type GitUpdateRefParams = {
-    /**
-     * Indicates whether to force the update or to make sure the update is a fast-forward update. Leaving this out or setting it to `false` will make sure you're not overwriting work.
-     */
-    force?: boolean;
-    owner: string;
-    ref: string;
-    repo: string;
-    /**
-     * The SHA1 value to set this reference to
-     */
-    sha: string;
-};
-export declare type GitignoreGetTemplateParams = {
-    name: string;
-};
-export declare type InteractionsAddOrUpdateRestrictionsForOrgParams = {
-    /**
-     * Specifies the group of GitHub users who can comment, open issues, or create pull requests in public repositories for the given organization. Must be one of: `existing_users`, `contributors_only`, or `collaborators_only`.
-     */
-    limit: "existing_users" | "contributors_only" | "collaborators_only";
-    org: string;
-};
-export declare type InteractionsAddOrUpdateRestrictionsForRepoParams = {
-    /**
-     * Specifies the group of GitHub users who can comment, open issues, or create pull requests for the given repository. Must be one of: `existing_users`, `contributors_only`, or `collaborators_only`.
-     */
-    limit: "existing_users" | "contributors_only" | "collaborators_only";
-    owner: string;
-    repo: string;
-};
-export declare type InteractionsGetRestrictionsForOrgParams = {
-    org: string;
-};
-export declare type InteractionsGetRestrictionsForRepoParams = {
-    owner: string;
-    repo: string;
-};
-export declare type InteractionsRemoveRestrictionsForOrgParams = {
-    org: string;
-};
-export declare type InteractionsRemoveRestrictionsForRepoParams = {
-    owner: string;
-    repo: string;
-};
-export declare type IssuesAddAssigneesParamsDeprecatedNumber = {
-    /**
-     * Usernames of people to assign this issue to. _NOTE: Only users with push access can add assignees to an issue. Assignees are silently ignored otherwise._
-     */
-    assignees?: string[];
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesAddAssigneesParams = {
-    /**
-     * Usernames of people to assign this issue to. _NOTE: Only users with push access can add assignees to an issue. Assignees are silently ignored otherwise._
-     */
-    assignees?: string[];
-    issue_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesAddLabelsParamsDeprecatedNumber = {
-    /**
-     * The name of the label to add to the issue. Must contain at least one label. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-     */
-    labels: string[];
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesAddLabelsParams = {
-    issue_number: number;
-    /**
-     * The name of the label to add to the issue. Must contain at least one label. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-     */
-    labels: string[];
-    owner: string;
-    repo: string;
-};
-export declare type IssuesCheckAssigneeParams = {
-    assignee: string;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesCreateParamsDeprecatedAssignee = {
-    /**
-     * Login for the user that this issue should be assigned to. _NOTE: Only users with push access can set the assignee for new issues. The assignee is silently dropped otherwise. **This field is deprecated.**_
-     * @deprecated "assignee" parameter has been deprecated and will be removed in future
-     */
-    assignee?: string;
-    /**
-     * Logins for Users to assign to this issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-    /**
-     * Labels to associate with this issue. _NOTE: Only users with push access can set labels for new issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with. _NOTE: Only users with push access can set the milestone for new issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number;
-    owner: string;
-    repo: string;
-    /**
-     * The title of the issue.
-     */
-    title: string;
-};
-export declare type IssuesCreateParams = {
-    /**
-     * Logins for Users to assign to this issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-    /**
-     * Labels to associate with this issue. _NOTE: Only users with push access can set labels for new issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with. _NOTE: Only users with push access can set the milestone for new issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number;
-    owner: string;
-    repo: string;
-    /**
-     * The title of the issue.
-     */
-    title: string;
-};
-export declare type IssuesCreateCommentParamsDeprecatedNumber = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesCreateCommentParams = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-    issue_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesCreateLabelParams = {
-    /**
-     * The [hexadecimal color code](http://www.color-hex.com/) for the label, without the leading `#`.
-     */
-    color: string;
-    /**
-     * A short description of the label.
-     */
-    description?: string;
-    /**
-     * The name of the label. Emoji can be added to label names, using either native emoji or colon-style markup. For example, typing `:strawberry:` will render the emoji ![:strawberry:](https://github.githubassets.com/images/icons/emoji/unicode/1f353.png ":strawberry:"). For a full list of available emoji and codes, see [emoji-cheat-sheet.com](http://emoji-cheat-sheet.com/).
-     */
-    name: string;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesCreateMilestoneParams = {
-    /**
-     * A description of the milestone.
-     */
-    description?: string;
-    /**
-     * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    due_on?: string;
-    owner: string;
-    repo: string;
-    /**
-     * The state of the milestone. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the milestone.
-     */
-    title: string;
-};
-export declare type IssuesDeleteCommentParams = {
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesDeleteLabelParams = {
-    name: string;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesDeleteMilestoneParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "milestone_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesDeleteMilestoneParams = {
-    milestone_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesGetParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesGetParams = {
-    issue_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesGetCommentParams = {
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesGetEventParams = {
-    event_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesGetLabelParams = {
-    name: string;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesGetMilestoneParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "milestone_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesGetMilestoneParams = {
-    milestone_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesListParams = {
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Indicates which sorts of issues to return. Can be one of:
-     * \* `assigned`: Issues assigned to you
-     * \* `created`: Issues created by you
-     * \* `mentioned`: Issues mentioning you
-     * \* `subscribed`: Issues you're subscribed to updates for
-     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-     */
-    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-    /**
-     * A list of comma separated label names. Example: `bug,ui,@high`
-     */
-    labels?: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `comments`.
-     */
-    sort?: "created" | "updated" | "comments";
-    /**
-     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-};
-export declare type IssuesListAssigneesParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListCommentsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-};
-export declare type IssuesListCommentsParams = {
-    issue_number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-};
-export declare type IssuesListCommentsForRepoParams = {
-    /**
-     * Either `asc` or `desc`. Ignored without the `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    owner: string;
-    repo: string;
-    /**
-     * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * Either `created` or `updated`.
-     */
-    sort?: "created" | "updated";
-};
-export declare type IssuesListEventsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListEventsParams = {
-    issue_number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListEventsForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListEventsForTimelineParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListEventsForTimelineParams = {
-    issue_number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListForAuthenticatedUserParams = {
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Indicates which sorts of issues to return. Can be one of:
-     * \* `assigned`: Issues assigned to you
-     * \* `created`: Issues created by you
-     * \* `mentioned`: Issues mentioning you
-     * \* `subscribed`: Issues you're subscribed to updates for
-     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-     */
-    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-    /**
-     * A list of comma separated label names. Example: `bug,ui,@high`
-     */
-    labels?: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `comments`.
-     */
-    sort?: "created" | "updated" | "comments";
-    /**
-     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-};
-export declare type IssuesListForOrgParams = {
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Indicates which sorts of issues to return. Can be one of:
-     * \* `assigned`: Issues assigned to you
-     * \* `created`: Issues created by you
-     * \* `mentioned`: Issues mentioning you
-     * \* `subscribed`: Issues you're subscribed to updates for
-     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-     */
-    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-    /**
-     * A list of comma separated label names. Example: `bug,ui,@high`
-     */
-    labels?: string;
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `comments`.
-     */
-    sort?: "created" | "updated" | "comments";
-    /**
-     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-};
-export declare type IssuesListForRepoParams = {
-    /**
-     * Can be the name of a user. Pass in `none` for issues with no assigned user, and `*` for issues assigned to any user.
-     */
-    assignee?: string;
-    /**
-     * The user that created the issue.
-     */
-    creator?: string;
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * A list of comma separated label names. Example: `bug,ui,@high`
-     */
-    labels?: string;
-    /**
-     * A user that's mentioned in the issue.
-     */
-    mentioned?: string;
-    /**
-     * If an `integer` is passed, it should refer to a milestone by its `number` field. If the string `*` is passed, issues with any milestone are accepted. If the string `none` is passed, issues without milestones are returned.
-     */
-    milestone?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `comments`.
-     */
-    sort?: "created" | "updated" | "comments";
-    /**
-     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-};
-export declare type IssuesListLabelsForMilestoneParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "milestone_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListLabelsForMilestoneParams = {
-    milestone_number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListLabelsForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListLabelsOnIssueParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListLabelsOnIssueParams = {
-    issue_number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type IssuesListMilestonesForRepoParams = {
-    /**
-     * The direction of the sort. Either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * What to sort results by. Either `due_on` or `completeness`.
-     */
-    sort?: "due_on" | "completeness";
-    /**
-     * The state of the milestone. Either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-};
-export declare type IssuesLockParamsDeprecatedNumber = {
-    /**
-     * The reason for locking the issue or pull request conversation. Lock will fail if you don't use one of these reasons:
-     * \* `off-topic`
-     * \* `too heated`
-     * \* `resolved`
-     * \* `spam`
-     */
-    lock_reason?: "off-topic" | "too heated" | "resolved" | "spam";
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesLockParams = {
-    issue_number: number;
-    /**
-     * The reason for locking the issue or pull request conversation. Lock will fail if you don't use one of these reasons:
-     * \* `off-topic`
-     * \* `too heated`
-     * \* `resolved`
-     * \* `spam`
-     */
-    lock_reason?: "off-topic" | "too heated" | "resolved" | "spam";
-    owner: string;
-    repo: string;
-};
-export declare type IssuesRemoveAssigneesParamsDeprecatedNumber = {
-    /**
-     * Usernames of assignees to remove from an issue. _NOTE: Only users with push access can remove assignees from an issue. Assignees are silently ignored otherwise._
-     */
-    assignees?: string[];
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesRemoveAssigneesParams = {
-    /**
-     * Usernames of assignees to remove from an issue. _NOTE: Only users with push access can remove assignees from an issue. Assignees are silently ignored otherwise._
-     */
-    assignees?: string[];
-    issue_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesRemoveLabelParamsDeprecatedNumber = {
-    name: string;
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesRemoveLabelParams = {
-    issue_number: number;
-    name: string;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesRemoveLabelsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesRemoveLabelsParams = {
-    issue_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesReplaceLabelsParamsDeprecatedNumber = {
-    /**
-     * The names of the labels to add to the issue. You can pass an empty array to remove all labels. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-     */
-    labels?: string[];
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesReplaceLabelsParams = {
-    issue_number: number;
-    /**
-     * The names of the labels to add to the issue. You can pass an empty array to remove all labels. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-     */
-    labels?: string[];
-    owner: string;
-    repo: string;
-};
-export declare type IssuesUnlockParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesUnlockParams = {
-    issue_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesUpdateParamsDeprecatedNumber = {
-    /**
-     * Logins for Users to assign to this issue. Pass one or more user logins to _replace_ the set of assignees on this Issue. Send an empty array (`[]`) to clear all assignees from the Issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-    /**
-     * Labels to associate with this issue. Pass one or more Labels to _replace_ the set of Labels on this Issue. Send an empty array (`[]`) to clear all Labels from the Issue. _NOTE: Only users with push access can set labels for issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with or `null` to remove current. _NOTE: Only users with push access can set the milestone for issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number | null;
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    /**
-     * State of the issue. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the issue.
-     */
-    title?: string;
-};
-export declare type IssuesUpdateParamsDeprecatedAssignee = {
-    /**
-     * Login for the user that this issue should be assigned to. **This field is deprecated.**
-     * @deprecated "assignee" parameter has been deprecated and will be removed in future
-     */
-    assignee?: string;
-    /**
-     * Logins for Users to assign to this issue. Pass one or more user logins to _replace_ the set of assignees on this Issue. Send an empty array (`[]`) to clear all assignees from the Issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-    issue_number: number;
-    /**
-     * Labels to associate with this issue. Pass one or more Labels to _replace_ the set of Labels on this Issue. Send an empty array (`[]`) to clear all Labels from the Issue. _NOTE: Only users with push access can set labels for issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with or `null` to remove current. _NOTE: Only users with push access can set the milestone for issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number | null;
-    owner: string;
-    repo: string;
-    /**
-     * State of the issue. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the issue.
-     */
-    title?: string;
-};
-export declare type IssuesUpdateParams = {
-    /**
-     * Logins for Users to assign to this issue. Pass one or more user logins to _replace_ the set of assignees on this Issue. Send an empty array (`[]`) to clear all assignees from the Issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-    issue_number: number;
-    /**
-     * Labels to associate with this issue. Pass one or more Labels to _replace_ the set of Labels on this Issue. Send an empty array (`[]`) to clear all Labels from the Issue. _NOTE: Only users with push access can set labels for issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with or `null` to remove current. _NOTE: Only users with push access can set the milestone for issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number | null;
-    owner: string;
-    repo: string;
-    /**
-     * State of the issue. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the issue.
-     */
-    title?: string;
-};
-export declare type IssuesUpdateCommentParams = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesUpdateLabelParams = {
-    /**
-     * The [hexadecimal color code](http://www.color-hex.com/) for the label, without the leading `#`.
-     */
-    color?: string;
-    current_name: string;
-    /**
-     * A short description of the label.
-     */
-    description?: string;
-    /**
-     * The new name of the label. Emoji can be added to label names, using either native emoji or colon-style markup. For example, typing `:strawberry:` will render the emoji ![:strawberry:](https://github.githubassets.com/images/icons/emoji/unicode/1f353.png ":strawberry:"). For a full list of available emoji and codes, see [emoji-cheat-sheet.com](http://emoji-cheat-sheet.com/).
-     */
-    name?: string;
-    owner: string;
-    repo: string;
-};
-export declare type IssuesUpdateMilestoneParamsDeprecatedNumber = {
-    /**
-     * A description of the milestone.
-     */
-    description?: string;
-    /**
-     * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    due_on?: string;
-    /**
-     * @deprecated "number" parameter renamed to "milestone_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    /**
-     * The state of the milestone. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the milestone.
-     */
-    title?: string;
-};
-export declare type IssuesUpdateMilestoneParams = {
-    /**
-     * A description of the milestone.
-     */
-    description?: string;
-    /**
-     * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    due_on?: string;
-    milestone_number: number;
-    owner: string;
-    repo: string;
-    /**
-     * The state of the milestone. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the milestone.
-     */
-    title?: string;
-};
-export declare type LicensesGetParams = {
-    license: string;
-};
-export declare type LicensesGetForRepoParams = {
-    owner: string;
-    repo: string;
-};
-export declare type MarkdownRenderParams = {
-    /**
-     * The repository context to use when creating references in `gfm` mode. Omit this parameter when using `markdown` mode.
-     */
-    context?: string;
-    /**
-     * The rendering mode. Can be either:
-     * \* `markdown` to render a document in plain Markdown, just like README.md files are rendered.
-     * \* `gfm` to render a document in [GitHub Flavored Markdown](https://github.github.com/gfm/), which creates links for user mentions as well as references to SHA-1 hashes, issues, and pull requests.
-     */
-    mode?: "markdown" | "gfm";
-    /**
-     * The Markdown text to render in HTML. Markdown content must be 400 KB or less.
-     */
-    text: string;
-};
-export declare type MarkdownRenderRawParams = {
-    data: string;
-};
-export declare type MigrationsCancelImportParams = {
-    owner: string;
-    repo: string;
-};
-export declare type MigrationsDeleteArchiveForAuthenticatedUserParams = {
-    migration_id: number;
-};
-export declare type MigrationsDeleteArchiveForOrgParams = {
-    migration_id: number;
-    org: string;
-};
-export declare type MigrationsDownloadArchiveForOrgParams = {
-    migration_id: number;
-    org: string;
-};
-export declare type MigrationsGetArchiveForAuthenticatedUserParams = {
-    migration_id: number;
-};
-export declare type MigrationsGetArchiveForOrgParams = {
-    migration_id: number;
-    org: string;
-};
-export declare type MigrationsGetCommitAuthorsParams = {
-    owner: string;
-    repo: string;
-    /**
-     * Only authors found after this id are returned. Provide the highest author ID you've seen so far. New authors may be added to the list at any point while the importer is performing the `raw` step.
-     */
-    since?: string;
-};
-export declare type MigrationsGetImportProgressParams = {
-    owner: string;
-    repo: string;
-};
-export declare type MigrationsGetLargeFilesParams = {
-    owner: string;
-    repo: string;
-};
-export declare type MigrationsGetStatusForAuthenticatedUserParams = {
-    migration_id: number;
-};
-export declare type MigrationsGetStatusForOrgParams = {
-    migration_id: number;
-    org: string;
-};
-export declare type MigrationsListForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type MigrationsListForOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type MigrationsListReposForOrgParams = {
-    migration_id: number;
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type MigrationsListReposForUserParams = {
-    migration_id: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type MigrationsMapCommitAuthorParams = {
-    author_id: number;
-    /**
-     * The new Git author email.
-     */
-    email?: string;
-    /**
-     * The new Git author name.
-     */
-    name?: string;
-    owner: string;
-    repo: string;
-};
-export declare type MigrationsSetLfsPreferenceParams = {
-    owner: string;
-    repo: string;
-    /**
-     * Can be one of `opt_in` (large files will be stored using Git LFS) or `opt_out` (large files will be removed during the import).
-     */
-    use_lfs: "opt_in" | "opt_out";
-};
-export declare type MigrationsStartForAuthenticatedUserParams = {
-    /**
-     * Does not include attachments uploaded to GitHub.com in the migration data when set to `true`. Excluding attachments will reduce the migration archive file size.
-     */
-    exclude_attachments?: boolean;
-    /**
-     * Locks the `repositories` to prevent changes during the migration when set to `true`.
-     */
-    lock_repositories?: boolean;
-    /**
-     * An array of repositories to include in the migration.
-     */
-    repositories: string[];
-};
-export declare type MigrationsStartForOrgParams = {
-    /**
-     * Indicates whether attachments should be excluded from the migration (to reduce migration archive file size).
-     */
-    exclude_attachments?: boolean;
-    /**
-     * Indicates whether repositories should be locked (to prevent manipulation) while migrating data.
-     */
-    lock_repositories?: boolean;
-    org: string;
-    /**
-     * A list of arrays indicating which repositories should be migrated.
-     */
-    repositories: string[];
-};
-export declare type MigrationsStartImportParams = {
-    owner: string;
-    repo: string;
-    /**
-     * For a tfvc import, the name of the project that is being imported.
-     */
-    tfvc_project?: string;
-    /**
-     * The originating VCS type. Can be one of `subversion`, `git`, `mercurial`, or `tfvc`. Please be aware that without this parameter, the import job will take additional time to detect the VCS type before beginning the import. This detection step will be reflected in the response.
-     */
-    vcs?: "subversion" | "git" | "mercurial" | "tfvc";
-    /**
-     * If authentication is required, the password to provide to `vcs_url`.
-     */
-    vcs_password?: string;
-    /**
-     * The URL of the originating repository.
-     */
-    vcs_url: string;
-    /**
-     * If authentication is required, the username to provide to `vcs_url`.
-     */
-    vcs_username?: string;
-};
-export declare type MigrationsUnlockRepoForAuthenticatedUserParams = {
-    migration_id: number;
-    repo_name: string;
-};
-export declare type MigrationsUnlockRepoForOrgParams = {
-    migration_id: number;
-    org: string;
-    repo_name: string;
-};
-export declare type MigrationsUpdateImportParams = {
-    owner: string;
-    repo: string;
-    /**
-     * The password to provide to the originating repository.
-     */
-    vcs_password?: string;
-    /**
-     * The username to provide to the originating repository.
-     */
-    vcs_username?: string;
-};
-export declare type OauthAuthorizationsCheckAuthorizationParams = {
-    access_token: string;
-    client_id: string;
-};
-export declare type OauthAuthorizationsCreateAuthorizationParams = {
-    /**
-     * The 20 character OAuth app client key for which to create the token.
-     */
-    client_id?: string;
-    /**
-     * The 40 character OAuth app client secret for which to create the token.
-     */
-    client_secret?: string;
-    /**
-     * A unique string to distinguish an authorization from others created for the same client ID and user.
-     */
-    fingerprint?: string;
-    /**
-     * A note to remind you what the OAuth token is for. Tokens not associated with a specific OAuth application (i.e. personal access tokens) must have a unique note.
-     */
-    note: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes that this authorization is in.
-     */
-    scopes?: string[];
-};
-export declare type OauthAuthorizationsDeleteAuthorizationParams = {
-    authorization_id: number;
-};
-export declare type OauthAuthorizationsDeleteGrantParams = {
-    grant_id: number;
-};
-export declare type OauthAuthorizationsGetAuthorizationParams = {
-    authorization_id: number;
-};
-export declare type OauthAuthorizationsGetGrantParams = {
-    grant_id: number;
-};
-export declare type OauthAuthorizationsGetOrCreateAuthorizationForAppParams = {
-    client_id: string;
-    /**
-     * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-     */
-    client_secret: string;
-    /**
-     * A unique string to distinguish an authorization from others created for the same client and user. If provided, this API is functionally equivalent to [Get-or-create an authorization for a specific app and fingerprint](https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint).
-     */
-    fingerprint?: string;
-    /**
-     * A note to remind you what the OAuth token is for.
-     */
-    note?: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes that this authorization is in.
-     */
-    scopes?: string[];
-};
-export declare type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintParams = {
-    client_id: string;
-    /**
-     * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-     */
-    client_secret: string;
-    fingerprint: string;
-    /**
-     * A note to remind you what the OAuth token is for.
-     */
-    note?: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes that this authorization is in.
-     */
-    scopes?: string[];
-};
-export declare type OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintParams = {
-    client_id: string;
-    /**
-     * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-     */
-    client_secret: string;
-    fingerprint: string;
-    /**
-     * A note to remind you what the OAuth token is for.
-     */
-    note?: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes that this authorization is in.
-     */
-    scopes?: string[];
-};
-export declare type OauthAuthorizationsListAuthorizationsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OauthAuthorizationsListGrantsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OauthAuthorizationsResetAuthorizationParams = {
-    access_token: string;
-    client_id: string;
-};
-export declare type OauthAuthorizationsRevokeAuthorizationForApplicationParams = {
-    access_token: string;
-    client_id: string;
-};
-export declare type OauthAuthorizationsRevokeGrantForApplicationParams = {
-    access_token: string;
-    client_id: string;
-};
-export declare type OauthAuthorizationsUpdateAuthorizationParams = {
-    /**
-     * A list of scopes to add to this authorization.
-     */
-    add_scopes?: string[];
-    authorization_id: number;
-    /**
-     * A unique string to distinguish an authorization from others created for the same client ID and user.
-     */
-    fingerprint?: string;
-    /**
-     * A note to remind you what the OAuth token is for. Tokens not associated with a specific OAuth application (i.e. personal access tokens) must have a unique note.
-     */
-    note?: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes to remove from this authorization.
-     */
-    remove_scopes?: string[];
-    /**
-     * Replaces the authorization scopes with these.
-     */
-    scopes?: string[];
-};
-export declare type OrgsAddOrUpdateMembershipParams = {
-    org: string;
-    /**
-     * The role to give the user in the organization. Can be one of:
-     * \* `admin` - The user will become an owner of the organization.
-     * \* `member` - The user will become a non-owner member of the organization.
-     */
-    role?: "admin" | "member";
-    username: string;
-};
-export declare type OrgsBlockUserParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsCheckBlockedUserParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsCheckMembershipParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsCheckPublicMembershipParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsConcealMembershipParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsConvertMemberToOutsideCollaboratorParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsCreateHookParams = {
-    /**
-     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-     */
-    active?: boolean;
-    /**
-     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/orgs/hooks/#create-hook-config-params).
-     */
-    config: OrgsCreateHookParamsConfig;
-    /**
-     * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-     */
-    events?: string[];
-    /**
-     * Must be passed as "web".
-     */
-    name: string;
-    org: string;
-};
-export declare type OrgsCreateInvitationParams = {
-    /**
-     * **Required unless you provide `invitee_id`**. Email address of the person you are inviting, which can be an existing GitHub user.
-     */
-    email?: string;
-    /**
-     * **Required unless you provide `email`**. GitHub user ID for the person you are inviting.
-     */
-    invitee_id?: number;
-    org: string;
-    /**
-     * Specify role for new member. Can be one of:
-     * \* `admin` - Organization owners with full administrative rights to the organization and complete access to all repositories and teams.
-     * \* `direct_member` - Non-owner organization members with ability to see other members and join teams by invitation.
-     * \* `billing_manager` - Non-owner organization members with ability to manage the billing settings of your organization.
-     */
-    role?: "admin" | "direct_member" | "billing_manager";
-    /**
-     * Specify IDs for the teams you want to invite new members to.
-     */
-    team_ids?: number[];
-};
-export declare type OrgsDeleteHookParams = {
-    hook_id: number;
-    org: string;
-};
-export declare type OrgsGetParams = {
-    org: string;
-};
-export declare type OrgsGetHookParams = {
-    hook_id: number;
-    org: string;
-};
-export declare type OrgsGetMembershipParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsGetMembershipForAuthenticatedUserParams = {
-    org: string;
-};
-export declare type OrgsListParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The integer ID of the last organization that you've seen.
-     */
-    since?: number;
-};
-export declare type OrgsListBlockedUsersParams = {
-    org: string;
-};
-export declare type OrgsListForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OrgsListForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type OrgsListHooksParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OrgsListInstallationsParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OrgsListInvitationTeamsParams = {
-    invitation_id: number;
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OrgsListMembersParams = {
-    /**
-     * Filter members returned in the list. Can be one of:
-     * \* `2fa_disabled` - Members without [two-factor authentication](https://github.com/blog/1614-two-factor-authentication) enabled. Available for organization owners.
-     * \* `all` - All members the authenticated user can see.
-     */
-    filter?: "2fa_disabled" | "all";
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Filter members returned by their role. Can be one of:
-     * \* `all` - All members of the organization, regardless of role.
-     * \* `admin` - Organization owners.
-     * \* `member` - Non-owner organization members.
-     */
-    role?: "all" | "admin" | "member";
-};
-export declare type OrgsListMembershipsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Indicates the state of the memberships to return. Can be either `active` or `pending`. If not specified, the API returns both active and pending memberships.
-     */
-    state?: "active" | "pending";
-};
-export declare type OrgsListOutsideCollaboratorsParams = {
-    /**
-     * Filter the list of outside collaborators. Can be one of:
-     * \* `2fa_disabled`: Outside collaborators without [two-factor authentication](https://github.com/blog/1614-two-factor-authentication) enabled.
-     * \* `all`: All outside collaborators.
-     */
-    filter?: "2fa_disabled" | "all";
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OrgsListPendingInvitationsParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OrgsListPublicMembersParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type OrgsPingHookParams = {
-    hook_id: number;
-    org: string;
-};
-export declare type OrgsPublicizeMembershipParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsRemoveMemberParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsRemoveMembershipParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsRemoveOutsideCollaboratorParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsUnblockUserParams = {
-    org: string;
-    username: string;
-};
-export declare type OrgsUpdateParamsDeprecatedMembersAllowedRepositoryCreationType = {
-    /**
-     * Billing email address. This address is not publicized.
-     */
-    billing_email?: string;
-    /**
-     * The company name.
-     */
-    company?: string;
-    /**
-     * Default permission level members have for organization repositories:
-     * \* `read` - can pull, but not push to or administer this repository.
-     * \* `write` - can pull and push, but not administer this repository.
-     * \* `admin` - can pull, push, and administer this repository.
-     * \* `none` - no permissions granted by default.
-     */
-    default_repository_permission?: "read" | "write" | "admin" | "none";
-    /**
-     * The description of the company.
-     */
-    description?: string;
-    /**
-     * The publicly visible email address.
-     */
-    email?: string;
-    /**
-     * Toggles whether an organization can use organization projects.
-     */
-    has_organization_projects?: boolean;
-    /**
-     * Toggles whether repositories that belong to the organization can use repository projects.
-     */
-    has_repository_projects?: boolean;
-    /**
-     * The location.
-     */
-    location?: string;
-    /**
-     * Specifies which types of repositories non-admin organization members can create. Can be one of:
-     * \* `all` - all organization members can create public and private repositories.
-     * \* `private` - members can create private repositories. This option is only available to repositories that are part of an organization on GitHub Enterprise Cloud.
-     * \* `none` - only admin members can create repositories.
-     * **Note:** This parameter is deprecated and will be removed in the future. Its return value ignores internal repositories. Using this parameter overrides values set in `members_can_create_repositories`. See [this note](https://developer.github.com/v3/orgs/#members_can_create_repositories) for details.
-     * @deprecated "members_allowed_repository_creation_type" parameter has been deprecated and will be removed in future
-     */
-    members_allowed_repository_creation_type?: string;
-    /**
-     * Toggles whether organization members can create internal repositories, which are visible to all enterprise members. You can only allow members to create internal repositories if your organization is associated with an enterprise account using GitHub Enterprise Cloud. Can be one of:
-     * \* `true` - all organization members can create internal repositories.
-     * \* `false` - only organization owners can create internal repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_internal_repositories?: boolean;
-    /**
-     * Toggles whether organization members can create private repositories, which are visible to organization members with permission. Can be one of:
-     * \* `true` - all organization members can create private repositories.
-     * \* `false` - only organization owners can create private repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_private_repositories?: boolean;
-    /**
-     * Toggles whether organization members can create public repositories, which are visible to anyone. Can be one of:
-     * \* `true` - all organization members can create public repositories.
-     * \* `false` - only organization owners can create public repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_public_repositories?: boolean;
-    /**
-     * Toggles the ability of non-admin organization members to create repositories. Can be one of:
-     * \* `true` - all organization members can create repositories.
-     * \* `false` - only organization owners can create repositories.
-     * Default: `true`
-     * **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details. **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details.
-     */
-    members_can_create_repositories?: boolean;
-    /**
-     * The shorthand name of the company.
-     */
-    name?: string;
-    org: string;
-};
-export declare type OrgsUpdateParams = {
-    /**
-     * Billing email address. This address is not publicized.
-     */
-    billing_email?: string;
-    /**
-     * The company name.
-     */
-    company?: string;
-    /**
-     * Default permission level members have for organization repositories:
-     * \* `read` - can pull, but not push to or administer this repository.
-     * \* `write` - can pull and push, but not administer this repository.
-     * \* `admin` - can pull, push, and administer this repository.
-     * \* `none` - no permissions granted by default.
-     */
-    default_repository_permission?: "read" | "write" | "admin" | "none";
-    /**
-     * The description of the company.
-     */
-    description?: string;
-    /**
-     * The publicly visible email address.
-     */
-    email?: string;
-    /**
-     * Toggles whether an organization can use organization projects.
-     */
-    has_organization_projects?: boolean;
-    /**
-     * Toggles whether repositories that belong to the organization can use repository projects.
-     */
-    has_repository_projects?: boolean;
-    /**
-     * The location.
-     */
-    location?: string;
-    /**
-     * Toggles whether organization members can create internal repositories, which are visible to all enterprise members. You can only allow members to create internal repositories if your organization is associated with an enterprise account using GitHub Enterprise Cloud. Can be one of:
-     * \* `true` - all organization members can create internal repositories.
-     * \* `false` - only organization owners can create internal repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_internal_repositories?: boolean;
-    /**
-     * Toggles whether organization members can create private repositories, which are visible to organization members with permission. Can be one of:
-     * \* `true` - all organization members can create private repositories.
-     * \* `false` - only organization owners can create private repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_private_repositories?: boolean;
-    /**
-     * Toggles whether organization members can create public repositories, which are visible to anyone. Can be one of:
-     * \* `true` - all organization members can create public repositories.
-     * \* `false` - only organization owners can create public repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_public_repositories?: boolean;
-    /**
-     * Toggles the ability of non-admin organization members to create repositories. Can be one of:
-     * \* `true` - all organization members can create repositories.
-     * \* `false` - only organization owners can create repositories.
-     * Default: `true`
-     * **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details. **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details.
-     */
-    members_can_create_repositories?: boolean;
-    /**
-     * The shorthand name of the company.
-     */
-    name?: string;
-    org: string;
-};
-export declare type OrgsUpdateHookParams = {
-    /**
-     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-     */
-    active?: boolean;
-    /**
-     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/orgs/hooks/#update-hook-config-params).
-     */
-    config?: OrgsUpdateHookParamsConfig;
-    /**
-     * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-     */
-    events?: string[];
-    hook_id: number;
-    org: string;
-};
-export declare type OrgsUpdateMembershipParams = {
-    org: string;
-    /**
-     * The state that the membership should be in. Only `"active"` will be accepted.
-     */
-    state: "active";
-};
-export declare type ProjectsAddCollaboratorParams = {
-    /**
-     * The permission to grant the collaborator. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)." Can be one of:
-     * \* `read` - can read, but not write to or administer this project.
-     * \* `write` - can read and write, but not administer this project.
-     * \* `admin` - can read, write and administer this project.
-     */
-    permission?: "read" | "write" | "admin";
-    project_id: number;
-    username: string;
-};
-export declare type ProjectsCreateCardParams = {
-    column_id: number;
-    /**
-     * The issue or pull request id you want to associate with this card. You can use the [List issues for a repository](https://developer.github.com/v3/issues/#list-issues-for-a-repository) and [List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests) endpoints to find this id.
-     * **Note:** Depending on whether you use the issue id or pull request id, you will need to specify `Issue` or `PullRequest` as the `content_type`.
-     */
-    content_id?: number;
-    /**
-     * **Required if you provide `content_id`**. The type of content you want to associate with this card. Use `Issue` when `content_id` is an issue id and use `PullRequest` when `content_id` is a pull request id.
-     */
-    content_type?: string;
-    /**
-     * The card's note content. Only valid for cards without another type of content, so you must omit when specifying `content_id` and `content_type`.
-     */
-    note?: string;
-};
-export declare type ProjectsCreateColumnParams = {
-    /**
-     * The name of the column.
-     */
-    name: string;
-    project_id: number;
-};
-export declare type ProjectsCreateForAuthenticatedUserParams = {
-    /**
-     * The description of the project.
-     */
-    body?: string;
-    /**
-     * The name of the project.
-     */
-    name: string;
-};
-export declare type ProjectsCreateForOrgParams = {
-    /**
-     * The description of the project.
-     */
-    body?: string;
-    /**
-     * The name of the project.
-     */
-    name: string;
-    org: string;
-};
-export declare type ProjectsCreateForRepoParams = {
-    /**
-     * The description of the project.
-     */
-    body?: string;
-    /**
-     * The name of the project.
-     */
-    name: string;
-    owner: string;
-    repo: string;
-};
-export declare type ProjectsDeleteParams = {
-    project_id: number;
-};
-export declare type ProjectsDeleteCardParams = {
-    card_id: number;
-};
-export declare type ProjectsDeleteColumnParams = {
-    column_id: number;
-};
-export declare type ProjectsGetParams = {
-    project_id: number;
-};
-export declare type ProjectsGetCardParams = {
-    card_id: number;
-};
-export declare type ProjectsGetColumnParams = {
-    column_id: number;
-};
-export declare type ProjectsListCardsParams = {
-    /**
-     * Filters the project cards that are returned by the card's state. Can be one of `all`,`archived`, or `not_archived`.
-     */
-    archived_state?: "all" | "archived" | "not_archived";
-    column_id: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type ProjectsListCollaboratorsParams = {
-    /**
-     * Filters the collaborators by their affiliation. Can be one of:
-     * \* `outside`: Outside collaborators of a project that are not a member of the project's organization.
-     * \* `direct`: Collaborators with permissions to a project, regardless of organization membership status.
-     * \* `all`: All collaborators the authenticated user can see.
-     */
-    affiliation?: "outside" | "direct" | "all";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    project_id: number;
-};
-export declare type ProjectsListColumnsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    project_id: number;
-};
-export declare type ProjectsListForOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-};
-export declare type ProjectsListForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-};
-export declare type ProjectsListForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-    username: string;
-};
-export declare type ProjectsMoveCardParams = {
-    card_id: number;
-    /**
-     * The `id` value of a column in the same project.
-     */
-    column_id?: number;
-    /**
-     * Can be one of `top`, `bottom`, or `after:<card_id>`, where `<card_id>` is the `id` value of a card in the same column, or in the new column specified by `column_id`.
-     */
-    position: string;
-};
-export declare type ProjectsMoveColumnParams = {
-    column_id: number;
-    /**
-     * Can be one of `first`, `last`, or `after:<column_id>`, where `<column_id>` is the `id` value of a column in the same project.
-     */
-    position: string;
-};
-export declare type ProjectsRemoveCollaboratorParams = {
-    project_id: number;
-    username: string;
-};
-export declare type ProjectsReviewUserPermissionLevelParams = {
-    project_id: number;
-    username: string;
-};
-export declare type ProjectsUpdateParams = {
-    /**
-     * The description of the project.
-     */
-    body?: string;
-    /**
-     * The name of the project.
-     */
-    name?: string;
-    /**
-     * The permission level that determines whether all members of the project's organization can see and/or make changes to the project. Setting `organization_permission` is only available for organization projects. If an organization member belongs to a team with a higher level of access or is a collaborator with a higher level of access, their permission level is not lowered by `organization_permission`. For information on changing access for a team or collaborator, see [Add or update team project](https://developer.github.com/v3/teams/#add-or-update-team-project) or [Add user as a collaborator](https://developer.github.com/v3/projects/collaborators/#add-user-as-a-collaborator).
-     *
-     * **Note:** Updating a project's `organization_permission` requires `admin` access to the project.
-     *
-     * Can be one of:
-     * \* `read` - Organization members can read, but not write to or administer this project.
-     * \* `write` - Organization members can read and write, but not administer this project.
-     * \* `admin` - Organization members can read, write and administer this project.
-     * \* `none` - Organization members can only see this project if it is public.
-     */
-    organization_permission?: string;
-    /**
-     * Sets the visibility of a project board. Setting `private` is only available for organization and user projects. **Note:** Updating a project's visibility requires `admin` access to the project.
-     *
-     * Can be one of:
-     * \* `false` - Anyone can see the project.
-     * \* `true` - Only the user can view a project board created on a user account. Organization members with the appropriate `organization_permission` can see project boards in an organization account.
-     */
-    private?: boolean;
-    project_id: number;
-    /**
-     * State of the project. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-};
-export declare type ProjectsUpdateCardParams = {
-    /**
-     * Use `true` to archive a project card. Specify `false` if you need to restore a previously archived project card.
-     */
-    archived?: boolean;
-    card_id: number;
-    /**
-     * The card's note content. Only valid for cards without another type of content, so this cannot be specified if the card already has a `content_id` and `content_type`.
-     */
-    note?: string;
-};
-export declare type ProjectsUpdateColumnParams = {
-    column_id: number;
-    /**
-     * The new name of the column.
-     */
-    name: string;
-};
-export declare type PullsCheckIfMergedParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type PullsCheckIfMergedParams = {
-    owner: string;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsCreateParams = {
-    /**
-     * The name of the branch you want the changes pulled into. This should be an existing branch on the current repository. You cannot submit a pull request to one repository that requests a merge to a base of another repository.
-     */
-    base: string;
-    /**
-     * The contents of the pull request.
-     */
-    body?: string;
-    /**
-     * Indicates whether the pull request is a draft. See "[Draft Pull Requests](https://help.github.com/en/articles/about-pull-requests#draft-pull-requests)" in the GitHub Help documentation to learn more.
-     */
-    draft?: boolean;
-    /**
-     * The name of the branch where your changes are implemented. For cross-repository pull requests in the same network, namespace `head` with a user like this: `username:branch`.
-     */
-    head: string;
-    /**
-     * Indicates whether [maintainers can modify](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
-     */
-    maintainer_can_modify?: boolean;
-    owner: string;
-    repo: string;
-    /**
-     * The title of the new pull request.
-     */
-    title: string;
-};
-export declare type PullsCreateCommentParamsDeprecatedNumber = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-};
-export declare type PullsCreateCommentParamsDeprecatedInReplyTo = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.
-     * @deprecated "in_reply_to" parameter has been deprecated and will be removed in future
-     */
-    in_reply_to?: number;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-    pull_number: number;
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-};
-export declare type PullsCreateCommentParams = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-    pull_number: number;
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-};
-export declare type PullsCreateCommentReplyParamsDeprecatedNumber = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-};
-export declare type PullsCreateCommentReplyParamsDeprecatedInReplyTo = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.
-     * @deprecated "in_reply_to" parameter has been deprecated and will be removed in future
-     */
-    in_reply_to?: number;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-    pull_number: number;
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-};
-export declare type PullsCreateCommentReplyParams = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-    pull_number: number;
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-};
-export declare type PullsCreateFromIssueParams = {
-    base: string;
-    draft?: boolean;
-    head: string;
-    issue: number;
-    maintainer_can_modify?: boolean;
-    owner: string;
-    repo: string;
-};
-export declare type PullsCreateReviewParamsDeprecatedNumber = {
-    /**
-     * **Required** when using `REQUEST_CHANGES` or `COMMENT` for the `event` parameter. The body text of the pull request review.
-     */
-    body?: string;
-    /**
-     * Use the following table to specify the location, destination, and contents of the draft review comment.
-     */
-    comments?: PullsCreateReviewParamsComments[];
-    /**
-     * The SHA of the commit that needs a review. Not using the latest commit SHA may render your review comment outdated if a subsequent commit modifies the line you specify as the `position`. Defaults to the most recent commit in the pull request when you do not specify a value.
-     */
-    commit_id?: string;
-    /**
-     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. By leaving this blank, you set the review action state to `PENDING`, which means you will need to [submit the pull request review](https://developer.github.com/v3/pulls/reviews/#submit-a-pull-request-review) when you are ready.
-     */
-    event?: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type PullsCreateReviewParams = {
-    /**
-     * **Required** when using `REQUEST_CHANGES` or `COMMENT` for the `event` parameter. The body text of the pull request review.
-     */
-    body?: string;
-    /**
-     * Use the following table to specify the location, destination, and contents of the draft review comment.
-     */
-    comments?: PullsCreateReviewParamsComments[];
-    /**
-     * The SHA of the commit that needs a review. Not using the latest commit SHA may render your review comment outdated if a subsequent commit modifies the line you specify as the `position`. Defaults to the most recent commit in the pull request when you do not specify a value.
-     */
-    commit_id?: string;
-    /**
-     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. By leaving this blank, you set the review action state to `PENDING`, which means you will need to [submit the pull request review](https://developer.github.com/v3/pulls/reviews/#submit-a-pull-request-review) when you are ready.
-     */
-    event?: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-    owner: string;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsCreateReviewCommentReplyParams = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    comment_id: number;
-    owner: string;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsCreateReviewRequestParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    /**
-     * An array of user `login`s that will be requested.
-     */
-    reviewers?: string[];
-    /**
-     * An array of team `slug`s that will be requested.
-     */
-    team_reviewers?: string[];
-};
-export declare type PullsCreateReviewRequestParams = {
-    owner: string;
-    pull_number: number;
-    repo: string;
-    /**
-     * An array of user `login`s that will be requested.
-     */
-    reviewers?: string[];
-    /**
-     * An array of team `slug`s that will be requested.
-     */
-    team_reviewers?: string[];
-};
-export declare type PullsDeleteCommentParams = {
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type PullsDeletePendingReviewParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsDeletePendingReviewParams = {
-    owner: string;
-    pull_number: number;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsDeleteReviewRequestParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    /**
-     * An array of user `login`s that will be removed.
-     */
-    reviewers?: string[];
-    /**
-     * An array of team `slug`s that will be removed.
-     */
-    team_reviewers?: string[];
-};
-export declare type PullsDeleteReviewRequestParams = {
-    owner: string;
-    pull_number: number;
-    repo: string;
-    /**
-     * An array of user `login`s that will be removed.
-     */
-    reviewers?: string[];
-    /**
-     * An array of team `slug`s that will be removed.
-     */
-    team_reviewers?: string[];
-};
-export declare type PullsDismissReviewParamsDeprecatedNumber = {
-    /**
-     * The message for the pull request review dismissal
-     */
-    message: string;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsDismissReviewParams = {
-    /**
-     * The message for the pull request review dismissal
-     */
-    message: string;
-    owner: string;
-    pull_number: number;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsGetParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type PullsGetParams = {
-    owner: string;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsGetCommentParams = {
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type PullsGetCommentsForReviewParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsGetCommentsForReviewParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    pull_number: number;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsGetReviewParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsGetReviewParams = {
-    owner: string;
-    pull_number: number;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsListParams = {
-    /**
-     * Filter pulls by base branch name. Example: `gh-pages`.
-     */
-    base?: string;
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`. Default: `desc` when sort is `created` or sort is not specified, otherwise `asc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Filter pulls by head user or head organization and branch name in the format of `user:ref-name` or `organization:ref-name`. For example: `github:new-script-format` or `octocat:test-branch`.
-     */
-    head?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `popularity` (comment count) or `long-running` (age, filtering by pulls updated in the last month).
-     */
-    sort?: "created" | "updated" | "popularity" | "long-running";
-    /**
-     * Either `open`, `closed`, or `all` to filter by state.
-     */
-    state?: "open" | "closed" | "all";
-};
-export declare type PullsListCommentsParamsDeprecatedNumber = {
-    /**
-     * Can be either `asc` or `desc`. Ignored without `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
-     */
-    since?: string;
-    /**
-     * Can be either `created` or `updated` comments.
-     */
-    sort?: "created" | "updated";
-};
-export declare type PullsListCommentsParams = {
-    /**
-     * Can be either `asc` or `desc`. Ignored without `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    pull_number: number;
-    repo: string;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
-     */
-    since?: string;
-    /**
-     * Can be either `created` or `updated` comments.
-     */
-    sort?: "created" | "updated";
-};
-export declare type PullsListCommentsForRepoParams = {
-    /**
-     * Can be either `asc` or `desc`. Ignored without `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
-     */
-    since?: string;
-    /**
-     * Can be either `created` or `updated` comments.
-     */
-    sort?: "created" | "updated";
-};
-export declare type PullsListCommitsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type PullsListCommitsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsListFilesParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type PullsListFilesParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsListReviewRequestsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type PullsListReviewRequestsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsListReviewsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type PullsListReviewsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsMergeParamsDeprecatedNumber = {
-    /**
-     * Extra detail to append to automatic commit message.
-     */
-    commit_message?: string;
-    /**
-     * Title for the automatic commit message.
-     */
-    commit_title?: string;
-    /**
-     * Merge method to use. Possible values are `merge`, `squash` or `rebase`. Default is `merge`.
-     */
-    merge_method?: "merge" | "squash" | "rebase";
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    /**
-     * SHA that pull request head must match to allow merge.
-     */
-    sha?: string;
-};
-export declare type PullsMergeParams = {
-    /**
-     * Extra detail to append to automatic commit message.
-     */
-    commit_message?: string;
-    /**
-     * Title for the automatic commit message.
-     */
-    commit_title?: string;
-    /**
-     * Merge method to use. Possible values are `merge`, `squash` or `rebase`. Default is `merge`.
-     */
-    merge_method?: "merge" | "squash" | "rebase";
-    owner: string;
-    pull_number: number;
-    repo: string;
-    /**
-     * SHA that pull request head must match to allow merge.
-     */
-    sha?: string;
-};
-export declare type PullsSubmitReviewParamsDeprecatedNumber = {
-    /**
-     * The body text of the pull request review
-     */
-    body?: string;
-    /**
-     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. When you leave this blank, the API returns _HTTP 422 (Unrecognizable entity)_ and sets the review action state to `PENDING`, which means you will need to re-submit the pull request review using a review action.
-     */
-    event: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsSubmitReviewParams = {
-    /**
-     * The body text of the pull request review
-     */
-    body?: string;
-    /**
-     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. When you leave this blank, the API returns _HTTP 422 (Unrecognizable entity)_ and sets the review action state to `PENDING`, which means you will need to re-submit the pull request review using a review action.
-     */
-    event: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-    owner: string;
-    pull_number: number;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsUpdateParamsDeprecatedNumber = {
-    /**
-     * The name of the branch you want your changes pulled into. This should be an existing branch on the current repository. You cannot update the base branch on a pull request to point to another repository.
-     */
-    base?: string;
-    /**
-     * The contents of the pull request.
-     */
-    body?: string;
-    /**
-     * Indicates whether [maintainers can modify](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
-     */
-    maintainer_can_modify?: boolean;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    /**
-     * State of this Pull Request. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the pull request.
-     */
-    title?: string;
-};
-export declare type PullsUpdateParams = {
-    /**
-     * The name of the branch you want your changes pulled into. This should be an existing branch on the current repository. You cannot update the base branch on a pull request to point to another repository.
-     */
-    base?: string;
-    /**
-     * The contents of the pull request.
-     */
-    body?: string;
-    /**
-     * Indicates whether [maintainers can modify](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
-     */
-    maintainer_can_modify?: boolean;
-    owner: string;
-    pull_number: number;
-    repo: string;
-    /**
-     * State of this Pull Request. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the pull request.
-     */
-    title?: string;
-};
-export declare type PullsUpdateBranchParams = {
-    /**
-     * The expected SHA of the pull request's HEAD ref. This is the most recent commit on the pull request's branch. If the expected SHA does not match the pull request's HEAD, you will receive a `422 Unprocessable Entity` status. You can use the "[List commits on a repository](https://developer.github.com/v3/repos/commits/#list-commits-on-a-repository)" endpoint to find the most recent commit SHA. Default: SHA of the pull request's current HEAD ref.
-     */
-    expected_head_sha?: string;
-    owner: string;
-    pull_number: number;
-    repo: string;
-};
-export declare type PullsUpdateCommentParams = {
-    /**
-     * The text of the reply to the review comment.
-     */
-    body: string;
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type PullsUpdateReviewParamsDeprecatedNumber = {
-    /**
-     * The body text of the pull request review.
-     */
-    body: string;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-    review_id: number;
-};
-export declare type PullsUpdateReviewParams = {
-    /**
-     * The body text of the pull request review.
-     */
-    body: string;
-    owner: string;
-    pull_number: number;
-    repo: string;
-    review_id: number;
-};
-export declare type ReactionsCreateForCommitCommentParams = {
-    comment_id: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the commit comment.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    owner: string;
-    repo: string;
-};
-export declare type ReactionsCreateForIssueParamsDeprecatedNumber = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReactionsCreateForIssueParams = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    issue_number: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReactionsCreateForIssueCommentParams = {
-    comment_id: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue comment.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    owner: string;
-    repo: string;
-};
-export declare type ReactionsCreateForPullRequestReviewCommentParams = {
-    comment_id: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the pull request review comment.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    owner: string;
-    repo: string;
-};
-export declare type ReactionsCreateForTeamDiscussionParams = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    team_id: number;
-};
-export declare type ReactionsCreateForTeamDiscussionCommentParams = {
-    comment_number: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    team_id: number;
-};
-export declare type ReactionsCreateForTeamDiscussionCommentInOrgParams = {
-    comment_number: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-};
-export declare type ReactionsCreateForTeamDiscussionCommentLegacyParams = {
-    comment_number: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    team_id: number;
-};
-export declare type ReactionsCreateForTeamDiscussionInOrgParams = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-};
-export declare type ReactionsCreateForTeamDiscussionLegacyParams = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-     */
-    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    team_id: number;
-};
-export declare type ReactionsDeleteParams = {
-    reaction_id: number;
-};
-export declare type ReactionsListForCommitCommentParams = {
-    comment_id: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a commit comment.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReactionsListForIssueParamsDeprecatedNumber = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReactionsListForIssueParams = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    issue_number: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReactionsListForIssueCommentParams = {
-    comment_id: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue comment.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReactionsListForPullRequestReviewCommentParams = {
-    comment_id: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a pull request review comment.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReactionsListForTeamDiscussionParams = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type ReactionsListForTeamDiscussionCommentParams = {
-    comment_number: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type ReactionsListForTeamDiscussionCommentInOrgParams = {
-    comment_number: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_slug: string;
-};
-export declare type ReactionsListForTeamDiscussionCommentLegacyParams = {
-    comment_number: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type ReactionsListForTeamDiscussionInOrgParams = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_slug: string;
-};
-export declare type ReactionsListForTeamDiscussionLegacyParams = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-     */
-    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type ReposAcceptInvitationParams = {
-    invitation_id: number;
-};
-export declare type ReposAddCollaboratorParams = {
-    owner: string;
-    /**
-     * The permission to grant the collaborator. **Only valid on organization-owned repositories.** Can be one of:
-     * \* `pull` - can pull, but not push to or administer this repository.
-     * \* `push` - can pull and push, but not administer this repository.
-     * \* `admin` - can pull, push and administer this repository.
-     */
-    permission?: "pull" | "push" | "admin";
-    repo: string;
-    username: string;
-};
-export declare type ReposAddDeployKeyParams = {
-    /**
-     * The contents of the key.
-     */
-    key: string;
-    owner: string;
-    /**
-     * If `true`, the key will only be able to read repository contents. Otherwise, the key will be able to read and write.
-     *
-     * Deploy keys with write access can perform the same actions as an organization member with admin access, or a collaborator on a personal repository. For more information, see "[Repository permission levels for an organization](https://help.github.com/articles/repository-permission-levels-for-an-organization/)" and "[Permission levels for a user account repository](https://help.github.com/articles/permission-levels-for-a-user-account-repository/)."
-     */
-    read_only?: boolean;
-    repo: string;
-    /**
-     * A name for the key.
-     */
-    title?: string;
-};
-export declare type ReposAddProtectedBranchAdminEnforcementParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposAddProtectedBranchAppRestrictionsParams = {
-    apps: string[];
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposAddProtectedBranchRequiredSignaturesParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposAddProtectedBranchRequiredStatusChecksContextsParams = {
-    branch: string;
-    contexts: string[];
-    owner: string;
-    repo: string;
-};
-export declare type ReposAddProtectedBranchTeamRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-    teams: string[];
-};
-export declare type ReposAddProtectedBranchUserRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-    users: string[];
-};
-export declare type ReposCheckCollaboratorParams = {
-    owner: string;
-    repo: string;
-    username: string;
-};
-export declare type ReposCheckVulnerabilityAlertsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposCompareCommitsParams = {
-    base: string;
-    head: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposCreateCommitCommentParamsDeprecatedSha = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-    owner: string;
-    /**
-     * Relative path of the file to comment on.
-     */
-    path?: string;
-    /**
-     * Line index in the diff to comment on.
-     */
-    position?: number;
-    repo: string;
-    /**
-     * @deprecated "sha" parameter renamed to "commit_sha"
-     */
-    sha: string;
-};
-export declare type ReposCreateCommitCommentParamsDeprecatedLine = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-    commit_sha: string;
-    /**
-     * **Deprecated**. Use **position** parameter instead. Line number in the file to comment on.
-     * @deprecated "line" parameter has been deprecated and will be removed in future
-     */
-    line?: number;
-    owner: string;
-    /**
-     * Relative path of the file to comment on.
-     */
-    path?: string;
-    /**
-     * Line index in the diff to comment on.
-     */
-    position?: number;
-    repo: string;
-};
-export declare type ReposCreateCommitCommentParams = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-    commit_sha: string;
-    owner: string;
-    /**
-     * Relative path of the file to comment on.
-     */
-    path?: string;
-    /**
-     * Line index in the diff to comment on.
-     */
-    position?: number;
-    repo: string;
-};
-export declare type ReposCreateDeploymentParams = {
-    /**
-     * Attempts to automatically merge the default branch into the requested ref, if it's behind the default branch.
-     */
-    auto_merge?: boolean;
-    /**
-     * Short description of the deployment.
-     */
-    description?: string;
-    /**
-     * Name for the target deployment environment (e.g., `production`, `staging`, `qa`).
-     */
-    environment?: string;
-    owner: string;
-    /**
-     * JSON payload with extra information about the deployment.
-     */
-    payload?: string;
-    /**
-     * Specifies if the given environment is one that end-users directly interact with. Default: `true` when `environment` is `production` and `false` otherwise.
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    production_environment?: boolean;
-    /**
-     * The ref to deploy. This can be a branch, tag, or SHA.
-     */
-    ref: string;
-    repo: string;
-    /**
-     * The [status](https://developer.github.com/v3/repos/statuses/) contexts to verify against commit status checks. If you omit this parameter, GitHub verifies all unique contexts before creating a deployment. To bypass checking entirely, pass an empty array. Defaults to all unique contexts.
-     */
-    required_contexts?: string[];
-    /**
-     * Specifies a task to execute (e.g., `deploy` or `deploy:migrations`).
-     */
-    task?: string;
-    /**
-     * Specifies if the given environment is specific to the deployment and will no longer exist at some point in the future. Default: `false`
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    transient_environment?: boolean;
-};
-export declare type ReposCreateDeploymentStatusParams = {
-    /**
-     * Adds a new `inactive` status to all prior non-transient, non-production environment deployments with the same repository and `environment` name as the created status's deployment. An `inactive` status is only added to deployments that had a `success` state. Default: `true`
-     * **Note:** To add an `inactive` status to `production` environments, you must use the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    auto_inactive?: boolean;
-    deployment_id: number;
-    /**
-     * A short description of the status. The maximum description length is 140 characters.
-     */
-    description?: string;
-    /**
-     * Name for the target deployment environment, which can be changed when setting a deploy status. For example, `production`, `staging`, or `qa`. **Note:** This parameter requires you to use the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-     */
-    environment?: "production" | "staging" | "qa";
-    /**
-     * Sets the URL for accessing your environment. Default: `""`
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    environment_url?: string;
-    /**
-     * The full URL of the deployment's output. This parameter replaces `target_url`. We will continue to accept `target_url` to support legacy uses, but we recommend replacing `target_url` with `log_url`. Setting `log_url` will automatically set `target_url` to the same value. Default: `""`
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    log_url?: string;
-    owner: string;
-    repo: string;
-    /**
-     * The state of the status. Can be one of `error`, `failure`, `inactive`, `in_progress`, `queued` `pending`, or `success`. **Note:** To use the `inactive` state, you must provide the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. To use the `in_progress` and `queued` states, you must provide the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-     */
-    state: "error" | "failure" | "inactive" | "in_progress" | "queued" | "pending" | "success";
-    /**
-     * The target URL to associate with this status. This URL should contain output to keep the user updated while the task is running or serve as historical information for what happened in the deployment. **Note:** It's recommended to use the `log_url` parameter, which replaces `target_url`.
-     */
-    target_url?: string;
-};
-export declare type ReposCreateDispatchEventParams = {
-    /**
-     * JSON payload with extra information about the webhook event that your action or worklow may use.
-     */
-    client_payload?: ReposCreateDispatchEventParamsClientPayload;
-    /**
-     * **Required:** A custom webhook event name.
-     */
-    event_type?: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposCreateFileParams = {
-    /**
-     * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-     */
-    author?: ReposCreateFileParamsAuthor;
-    /**
-     * The branch name. Default: the repository’s default branch (usually `master`)
-     */
-    branch?: string;
-    /**
-     * The person that committed the file. Default: the authenticated user.
-     */
-    committer?: ReposCreateFileParamsCommitter;
-    /**
-     * The new file content, using Base64 encoding.
-     */
-    content: string;
-    /**
-     * The commit message.
-     */
-    message: string;
-    owner: string;
-    path: string;
-    repo: string;
-    /**
-     * **Required if you are updating a file**. The blob SHA of the file being replaced.
-     */
-    sha?: string;
-};
-export declare type ReposCreateForAuthenticatedUserParams = {
-    /**
-     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-     */
-    allow_merge_commit?: boolean;
-    /**
-     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-     */
-    allow_rebase_merge?: boolean;
-    /**
-     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-     */
-    allow_squash_merge?: boolean;
-    /**
-     * Pass `true` to create an initial commit with empty README.
-     */
-    auto_init?: boolean;
-    /**
-     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-     */
-    delete_branch_on_merge?: boolean;
-    /**
-     * A short description of the repository.
-     */
-    description?: string;
-    /**
-     * Desired language or platform [.gitignore template](https://github.com/github/gitignore) to apply. Use the name of the template without the extension. For example, "Haskell".
-     */
-    gitignore_template?: string;
-    /**
-     * Either `true` to enable issues for this repository or `false` to disable them.
-     */
-    has_issues?: boolean;
-    /**
-     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-     */
-    has_projects?: boolean;
-    /**
-     * Either `true` to enable the wiki for this repository or `false` to disable it.
-     */
-    has_wiki?: boolean;
-    /**
-     * A URL with more information about the repository.
-     */
-    homepage?: string;
-    /**
-     * Either `true` to make this repo available as a template repository or `false` to prevent it.
-     */
-    is_template?: boolean;
-    /**
-     * Choose an [open source license template](https://choosealicense.com/) that best suits your needs, and then use the [license keyword](https://help.github.com/articles/licensing-a-repository/#searching-github-by-license-type) as the `license_template` string. For example, "mit" or "mpl-2.0".
-     */
-    license_template?: string;
-    /**
-     * The name of the repository.
-     */
-    name: string;
-    /**
-     * Either `true` to create a private repository or `false` to create a public one. Creating private repositories requires a paid GitHub account.
-     */
-    private?: boolean;
-    /**
-     * The id of the team that will be granted access to this repository. This is only valid when creating a repository in an organization.
-     */
-    team_id?: number;
-    /**
-     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. For more information, see "[Creating an internal repository](https://help.github.com/github/creating-cloning-and-archiving-repositories/creating-an-internal-repository)" in the GitHub Help documentation.
-     * The `visibility` parameter overrides the `private` parameter when you use both parameters with the `nebula-preview` preview header.
-     */
-    visibility?: "public" | "private" | "visibility" | "internal";
-};
-export declare type ReposCreateForkParams = {
-    /**
-     * Optional parameter to specify the organization name if forking into an organization.
-     */
-    organization?: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposCreateHookParams = {
-    /**
-     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-     */
-    active?: boolean;
-    /**
-     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/repos/hooks/#create-hook-config-params).
-     */
-    config: ReposCreateHookParamsConfig;
-    /**
-     * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-     */
-    events?: string[];
-    /**
-     * Use `web` to create a webhook. Default: `web`. This parameter only accepts the value `web`.
-     */
-    name?: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposCreateInOrgParams = {
-    /**
-     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-     */
-    allow_merge_commit?: boolean;
-    /**
-     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-     */
-    allow_rebase_merge?: boolean;
-    /**
-     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-     */
-    allow_squash_merge?: boolean;
-    /**
-     * Pass `true` to create an initial commit with empty README.
-     */
-    auto_init?: boolean;
-    /**
-     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-     */
-    delete_branch_on_merge?: boolean;
-    /**
-     * A short description of the repository.
-     */
-    description?: string;
-    /**
-     * Desired language or platform [.gitignore template](https://github.com/github/gitignore) to apply. Use the name of the template without the extension. For example, "Haskell".
-     */
-    gitignore_template?: string;
-    /**
-     * Either `true` to enable issues for this repository or `false` to disable them.
-     */
-    has_issues?: boolean;
-    /**
-     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-     */
-    has_projects?: boolean;
-    /**
-     * Either `true` to enable the wiki for this repository or `false` to disable it.
-     */
-    has_wiki?: boolean;
-    /**
-     * A URL with more information about the repository.
-     */
-    homepage?: string;
-    /**
-     * Either `true` to make this repo available as a template repository or `false` to prevent it.
-     */
-    is_template?: boolean;
-    /**
-     * Choose an [open source license template](https://choosealicense.com/) that best suits your needs, and then use the [license keyword](https://help.github.com/articles/licensing-a-repository/#searching-github-by-license-type) as the `license_template` string. For example, "mit" or "mpl-2.0".
-     */
-    license_template?: string;
-    /**
-     * The name of the repository.
-     */
-    name: string;
-    org: string;
-    /**
-     * Either `true` to create a private repository or `false` to create a public one. Creating private repositories requires a paid GitHub account.
-     */
-    private?: boolean;
-    /**
-     * The id of the team that will be granted access to this repository. This is only valid when creating a repository in an organization.
-     */
-    team_id?: number;
-    /**
-     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. For more information, see "[Creating an internal repository](https://help.github.com/github/creating-cloning-and-archiving-repositories/creating-an-internal-repository)" in the GitHub Help documentation.
-     * The `visibility` parameter overrides the `private` parameter when you use both parameters with the `nebula-preview` preview header.
-     */
-    visibility?: "public" | "private" | "visibility" | "internal";
-};
-export declare type ReposCreateOrUpdateFileParams = {
-    /**
-     * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-     */
-    author?: ReposCreateOrUpdateFileParamsAuthor;
-    /**
-     * The branch name. Default: the repository’s default branch (usually `master`)
-     */
-    branch?: string;
-    /**
-     * The person that committed the file. Default: the authenticated user.
-     */
-    committer?: ReposCreateOrUpdateFileParamsCommitter;
-    /**
-     * The new file content, using Base64 encoding.
-     */
-    content: string;
-    /**
-     * The commit message.
-     */
-    message: string;
-    owner: string;
-    path: string;
-    repo: string;
-    /**
-     * **Required if you are updating a file**. The blob SHA of the file being replaced.
-     */
-    sha?: string;
-};
-export declare type ReposCreateReleaseParams = {
-    /**
-     * Text describing the contents of the tag.
-     */
-    body?: string;
-    /**
-     * `true` to create a draft (unpublished) release, `false` to create a published one.
-     */
-    draft?: boolean;
-    /**
-     * The name of the release.
-     */
-    name?: string;
-    owner: string;
-    /**
-     * `true` to identify the release as a prerelease. `false` to identify the release as a full release.
-     */
-    prerelease?: boolean;
-    repo: string;
-    /**
-     * The name of the tag.
-     */
-    tag_name: string;
-    /**
-     * Specifies the commitish value that determines where the Git tag is created from. Can be any branch or commit SHA. Unused if the Git tag already exists. Default: the repository's default branch (usually `master`).
-     */
-    target_commitish?: string;
-};
-export declare type ReposCreateStatusParams = {
-    /**
-     * A string label to differentiate this status from the status of other systems.
-     */
-    context?: string;
-    /**
-     * A short description of the status.
-     */
-    description?: string;
-    owner: string;
-    repo: string;
-    sha: string;
-    /**
-     * The state of the status. Can be one of `error`, `failure`, `pending`, or `success`.
-     */
-    state: "error" | "failure" | "pending" | "success";
-    /**
-     * The target URL to associate with this status. This URL will be linked from the GitHub UI to allow users to easily see the source of the status.
-     * For example, if your continuous integration system is posting build status, you would want to provide the deep link for the build output for this specific SHA:
-     * `http://ci.example.com/user/repo/build/sha`
-     */
-    target_url?: string;
-};
-export declare type ReposCreateUsingTemplateParams = {
-    /**
-     * A short description of the new repository.
-     */
-    description?: string;
-    /**
-     * The name of the new repository.
-     */
-    name: string;
-    /**
-     * The organization or person who will own the new repository. To create a new repository in an organization, the authenticated user must be a member of the specified organization.
-     */
-    owner?: string;
-    /**
-     * Either `true` to create a new private repository or `false` to create a new public one.
-     */
-    private?: boolean;
-    template_owner: string;
-    template_repo: string;
-};
-export declare type ReposDeclineInvitationParams = {
-    invitation_id: number;
-};
-export declare type ReposDeleteParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposDeleteCommitCommentParams = {
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposDeleteDownloadParams = {
-    download_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposDeleteFileParams = {
-    /**
-     * object containing information about the author.
-     */
-    author?: ReposDeleteFileParamsAuthor;
-    /**
-     * The branch name. Default: the repository’s default branch (usually `master`)
-     */
-    branch?: string;
-    /**
-     * object containing information about the committer.
-     */
-    committer?: ReposDeleteFileParamsCommitter;
-    /**
-     * The commit message.
-     */
-    message: string;
-    owner: string;
-    path: string;
-    repo: string;
-    /**
-     * The blob SHA of the file being replaced.
-     */
-    sha: string;
-};
-export declare type ReposDeleteHookParams = {
-    hook_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposDeleteInvitationParams = {
-    invitation_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposDeleteReleaseParams = {
-    owner: string;
-    release_id: number;
-    repo: string;
-};
-export declare type ReposDeleteReleaseAssetParams = {
-    asset_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposDisableAutomatedSecurityFixesParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposDisablePagesSiteParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposDisableVulnerabilityAlertsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposEnableAutomatedSecurityFixesParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposEnablePagesSiteParams = {
-    owner: string;
-    repo: string;
-    source?: ReposEnablePagesSiteParamsSource;
-};
-export declare type ReposEnableVulnerabilityAlertsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetAppsWithAccessToProtectedBranchParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetArchiveLinkParams = {
-    archive_format: string;
-    owner: string;
-    ref: string;
-    repo: string;
-};
-export declare type ReposGetBranchParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetBranchProtectionParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetClonesParams = {
-    owner: string;
-    /**
-     * Must be one of: `day`, `week`.
-     */
-    per?: "day" | "week";
-    repo: string;
-};
-export declare type ReposGetCodeFrequencyStatsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetCollaboratorPermissionLevelParams = {
-    owner: string;
-    repo: string;
-    username: string;
-};
-export declare type ReposGetCombinedStatusForRefParams = {
-    owner: string;
-    ref: string;
-    repo: string;
-};
-export declare type ReposGetCommitParamsDeprecatedSha = {
-    owner: string;
-    repo: string;
-    /**
-     * @deprecated "sha" parameter renamed to "ref"
-     */
-    sha: string;
-};
-export declare type ReposGetCommitParamsDeprecatedCommitSha = {
-    /**
-     * @deprecated "commit_sha" parameter renamed to "ref"
-     */
-    commit_sha: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetCommitParams = {
-    owner: string;
-    ref: string;
-    repo: string;
-};
-export declare type ReposGetCommitActivityStatsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetCommitCommentParams = {
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetCommitRefShaParams = {
-    owner: string;
-    ref: string;
-    repo: string;
-};
-export declare type ReposGetContentsParams = {
-    owner: string;
-    path: string;
-    /**
-     * The name of the commit/branch/tag. Default: the repository’s default branch (usually `master`)
-     */
-    ref?: string;
-    repo: string;
-};
-export declare type ReposGetContributorsStatsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetDeployKeyParams = {
-    key_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetDeploymentParams = {
-    deployment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetDeploymentStatusParams = {
-    deployment_id: number;
-    owner: string;
-    repo: string;
-    status_id: number;
-};
-export declare type ReposGetDownloadParams = {
-    download_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetHookParams = {
-    hook_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetLatestPagesBuildParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetLatestReleaseParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetPagesParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetPagesBuildParams = {
-    build_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetParticipationStatsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetProtectedBranchAdminEnforcementParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetProtectedBranchPullRequestReviewEnforcementParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetProtectedBranchRequiredSignaturesParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetProtectedBranchRequiredStatusChecksParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetProtectedBranchRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetPunchCardStatsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetReadmeParams = {
-    owner: string;
-    /**
-     * The name of the commit/branch/tag. Default: the repository’s default branch (usually `master`)
-     */
-    ref?: string;
-    repo: string;
-};
-export declare type ReposGetReleaseParams = {
-    owner: string;
-    release_id: number;
-    repo: string;
-};
-export declare type ReposGetReleaseAssetParams = {
-    asset_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetReleaseByTagParams = {
-    owner: string;
-    repo: string;
-    tag: string;
-};
-export declare type ReposGetTeamsWithAccessToProtectedBranchParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetTopPathsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetTopReferrersParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetUsersWithAccessToProtectedBranchParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposGetViewsParams = {
-    owner: string;
-    /**
-     * Must be one of: `day`, `week`.
-     */
-    per?: "day" | "week";
-    repo: string;
-};
-export declare type ReposListParams = {
-    /**
-     * Comma-separated list of values. Can include:
-     * \* `owner`: Repositories that are owned by the authenticated user.
-     * \* `collaborator`: Repositories that the user has been added to as a collaborator.
-     * \* `organization_member`: Repositories that the user has access to through being a member of an organization. This includes every repository on every team that the user is on.
-     */
-    affiliation?: string;
-    /**
-     * Can be one of `asc` or `desc`. Default: `asc` when using `full_name`, otherwise `desc`
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Can be one of `created`, `updated`, `pushed`, `full_name`.
-     */
-    sort?: "created" | "updated" | "pushed" | "full_name";
-    /**
-     * Can be one of `all`, `owner`, `public`, `private`, `member`. Default: `all`
-     *
-     * Will cause a `422` error if used in the same request as **visibility** or **affiliation**. Will cause a `422` error if used in the same request as **visibility** or **affiliation**.
-     */
-    type?: "all" | "owner" | "public" | "private" | "member";
-    /**
-     * Can be one of `all`, `public`, or `private`.
-     */
-    visibility?: "all" | "public" | "private";
-};
-export declare type ReposListAppsWithAccessToProtectedBranchParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposListAssetsForReleaseParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    release_id: number;
-    repo: string;
-};
-export declare type ReposListBranchesParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Setting to `true` returns only protected branches. When set to `false`, only unprotected branches are returned. Omitting this parameter returns all branches.
-     */
-    protected?: boolean;
-    repo: string;
-};
-export declare type ReposListBranchesForHeadCommitParams = {
-    commit_sha: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposListCollaboratorsParams = {
-    /**
-     * Filter collaborators returned by their affiliation. Can be one of:
-     * \* `outside`: All outside collaborators of an organization-owned repository.
-     * \* `direct`: All collaborators with permissions to an organization-owned repository, regardless of organization membership status.
-     * \* `all`: All collaborators the authenticated user can see.
-     */
-    affiliation?: "outside" | "direct" | "all";
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListCommentsForCommitParamsDeprecatedRef = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * @deprecated "ref" parameter renamed to "commit_sha"
-     */
-    ref: string;
-    repo: string;
-};
-export declare type ReposListCommentsForCommitParams = {
-    commit_sha: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListCommitCommentsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListCommitsParams = {
-    /**
-     * GitHub login or email address by which to filter by commit author.
-     */
-    author?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Only commits containing this file path will be returned.
-     */
-    path?: string;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * SHA or branch to start listing commits from. Default: the repository’s default branch (usually `master`).
-     */
-    sha?: string;
-    /**
-     * Only commits after this date will be returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * Only commits before this date will be returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    until?: string;
-};
-export declare type ReposListContributorsParams = {
-    /**
-     * Set to `1` or `true` to include anonymous contributors in results.
-     */
-    anon?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListDeployKeysParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListDeploymentStatusesParams = {
-    deployment_id: number;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListDeploymentsParams = {
-    /**
-     * The name of the environment that was deployed to (e.g., `staging` or `production`).
-     */
-    environment?: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The name of the ref. This can be a branch, tag, or SHA.
-     */
-    ref?: string;
-    repo: string;
-    /**
-     * The SHA recorded at creation time.
-     */
-    sha?: string;
-    /**
-     * The name of the task for the deployment (e.g., `deploy` or `deploy:migrations`).
-     */
-    task?: string;
-};
-export declare type ReposListDownloadsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListForOrgParams = {
-    /**
-     * Can be one of `asc` or `desc`. Default: when using `full_name`: `asc`, otherwise `desc`
-     */
-    direction?: "asc" | "desc";
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Can be one of `created`, `updated`, `pushed`, `full_name`.
-     */
-    sort?: "created" | "updated" | "pushed" | "full_name";
-    /**
-     * Specifies the types of repositories you want returned. Can be one of `all`, `public`, `private`, `forks`, `sources`, `member`, `internal`. Default: `all`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `type` can also be `internal`.
-     */
-    type?: "all" | "public" | "private" | "forks" | "sources" | "member" | "internal";
-};
-export declare type ReposListForUserParams = {
-    /**
-     * Can be one of `asc` or `desc`. Default: `asc` when using `full_name`, otherwise `desc`
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Can be one of `created`, `updated`, `pushed`, `full_name`.
-     */
-    sort?: "created" | "updated" | "pushed" | "full_name";
-    /**
-     * Can be one of `all`, `owner`, `member`.
-     */
-    type?: "all" | "owner" | "member";
-    username: string;
-};
-export declare type ReposListForksParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-    /**
-     * The sort order. Can be either `newest`, `oldest`, or `stargazers`.
-     */
-    sort?: "newest" | "oldest" | "stargazers";
-};
-export declare type ReposListHooksParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListInvitationsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListInvitationsForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type ReposListLanguagesParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposListPagesBuildsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListProtectedBranchRequiredStatusChecksContextsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposListProtectedBranchTeamRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposListProtectedBranchUserRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposListPublicParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The integer ID of the last repository that you've seen.
-     */
-    since?: number;
-};
-export declare type ReposListPullRequestsAssociatedWithCommitParams = {
-    commit_sha: string;
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListReleasesParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListStatusesForRefParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    ref: string;
-    repo: string;
-};
-export declare type ReposListTagsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListTeamsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    repo: string;
-};
-export declare type ReposListTeamsWithAccessToProtectedBranchParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposListTopicsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposListUsersWithAccessToProtectedBranchParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposMergeParams = {
-    /**
-     * The name of the base branch that the head will be merged into.
-     */
-    base: string;
-    /**
-     * Commit message to use for the merge commit. If omitted, a default message will be used.
-     */
-    commit_message?: string;
-    /**
-     * The head to merge. This can be a branch name or a commit SHA1.
-     */
-    head: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposPingHookParams = {
-    hook_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveBranchProtectionParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveCollaboratorParams = {
-    owner: string;
-    repo: string;
-    username: string;
-};
-export declare type ReposRemoveDeployKeyParams = {
-    key_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveProtectedBranchAdminEnforcementParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveProtectedBranchAppRestrictionsParams = {
-    apps: string[];
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveProtectedBranchPullRequestReviewEnforcementParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveProtectedBranchRequiredSignaturesParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveProtectedBranchRequiredStatusChecksParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveProtectedBranchRequiredStatusChecksContextsParams = {
-    branch: string;
-    contexts: string[];
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveProtectedBranchRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposRemoveProtectedBranchTeamRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-    teams: string[];
-};
-export declare type ReposRemoveProtectedBranchUserRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-    users: string[];
-};
-export declare type ReposReplaceProtectedBranchAppRestrictionsParams = {
-    apps: string[];
-    branch: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposReplaceProtectedBranchRequiredStatusChecksContextsParams = {
-    branch: string;
-    contexts: string[];
-    owner: string;
-    repo: string;
-};
-export declare type ReposReplaceProtectedBranchTeamRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-    teams: string[];
-};
-export declare type ReposReplaceProtectedBranchUserRestrictionsParams = {
-    branch: string;
-    owner: string;
-    repo: string;
-    users: string[];
-};
-export declare type ReposReplaceTopicsParams = {
-    /**
-     * An array of topics to add to the repository. Pass one or more topics to _replace_ the set of existing topics. Send an empty array (`[]`) to clear all topics from the repository. **Note:** Topic `names` cannot contain uppercase letters.
-     */
-    names: string[];
-    owner: string;
-    repo: string;
-};
-export declare type ReposRequestPageBuildParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposRetrieveCommunityProfileMetricsParams = {
-    owner: string;
-    repo: string;
-};
-export declare type ReposTestPushHookParams = {
-    hook_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposTransferParams = {
-    /**
-     * **Required:** The username or organization name the repository will be transferred to.
-     */
-    new_owner?: string;
-    owner: string;
-    repo: string;
-    /**
-     * ID of the team or teams to add to the repository. Teams can only be added to organization-owned repositories.
-     */
-    team_ids?: number[];
-};
-export declare type ReposUpdateParams = {
-    /**
-     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-     */
-    allow_merge_commit?: boolean;
-    /**
-     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-     */
-    allow_rebase_merge?: boolean;
-    /**
-     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-     */
-    allow_squash_merge?: boolean;
-    /**
-     * `true` to archive this repository. **Note**: You cannot unarchive repositories through the API.
-     */
-    archived?: boolean;
-    /**
-     * Updates the default branch for this repository.
-     */
-    default_branch?: string;
-    /**
-     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-     */
-    delete_branch_on_merge?: boolean;
-    /**
-     * A short description of the repository.
-     */
-    description?: string;
-    /**
-     * Either `true` to enable issues for this repository or `false` to disable them.
-     */
-    has_issues?: boolean;
-    /**
-     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-     */
-    has_projects?: boolean;
-    /**
-     * Either `true` to enable the wiki for this repository or `false` to disable it.
-     */
-    has_wiki?: boolean;
-    /**
-     * A URL with more information about the repository.
-     */
-    homepage?: string;
-    /**
-     * Either `true` to make this repo available as a template repository or `false` to prevent it.
-     */
-    is_template?: boolean;
-    /**
-     * The name of the repository.
-     */
-    name?: string;
-    owner: string;
-    /**
-     * Either `true` to make the repository private or `false` to make it public. Creating private repositories requires a paid GitHub account. Default: `false`.
-     * **Note**: You will get a `422` error if the organization restricts [changing repository visibility](https://help.github.com/articles/repository-permission-levels-for-an-organization#changing-the-visibility-of-repositories) to organization owners and a non-owner tries to change the value of private. **Note**: You will get a `422` error if the organization restricts [changing repository visibility](https://help.github.com/articles/repository-permission-levels-for-an-organization#changing-the-visibility-of-repositories) to organization owners and a non-owner tries to change the value of private.
-     */
-    private?: boolean;
-    repo: string;
-    /**
-     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. The `visibility` parameter overrides the `private` parameter when you use both along with the `nebula-preview` preview header.
-     */
-    visibility?: "public" | "private" | "visibility" | "internal";
-};
-export declare type ReposUpdateBranchProtectionParams = {
-    /**
-     * Allows deletion of the protected branch by anyone with write access to the repository. Set to `false` to prevent deletion of the protected branch. Default: `false`. For more information, see "[Enabling force pushes to a protected branch](https://help.github.com/en/github/administering-a-repository/enabling-force-pushes-to-a-protected-branch)" in the GitHub Help documentation.
-     */
-    allow_deletions?: boolean;
-    /**
-     * Permits force pushes to the protected branch by anyone with write access to the repository. Set to `true` to allow force pushes. Set to `false` or `null` to block force pushes. Default: `false`. For more information, see "[Enabling force pushes to a protected branch](https://help.github.com/en/github/administering-a-repository/enabling-force-pushes-to-a-protected-branch)" in the GitHub Help documentation."
-     */
-    allow_force_pushes?: boolean | null;
-    branch: string;
-    /**
-     * Enforce all configured restrictions for administrators. Set to `true` to enforce required status checks for repository administrators. Set to `null` to disable.
-     */
-    enforce_admins: boolean | null;
-    owner: string;
-    repo: string;
-    /**
-     * Enforces a linear commit Git history, which prevents anyone from pushing merge commits to a branch. Set to `true` to enforce a linear commit history. Set to `false` to disable a linear commit Git history. Your repository must allow squash merging or rebase merging before you can enable a linear commit history. Default: `false`. For more information, see "[Requiring a linear commit history](https://help.github.com/github/administering-a-repository/requiring-a-linear-commit-history)" in the GitHub Help documentation.
-     */
-    required_linear_history?: boolean;
-    /**
-     * Require at least one approving review on a pull request, before merging. Set to `null` to disable.
-     */
-    required_pull_request_reviews: ReposUpdateBranchProtectionParamsRequiredPullRequestReviews | null;
-    /**
-     * Require status checks to pass before merging. Set to `null` to disable.
-     */
-    required_status_checks: ReposUpdateBranchProtectionParamsRequiredStatusChecks | null;
-    /**
-     * Restrict who can push to the protected branch. User, app, and team `restrictions` are only available for organization-owned repositories. Set to `null` to disable.
-     */
-    restrictions: ReposUpdateBranchProtectionParamsRestrictions | null;
-};
-export declare type ReposUpdateCommitCommentParams = {
-    /**
-     * The contents of the comment
-     */
-    body: string;
-    comment_id: number;
-    owner: string;
-    repo: string;
-};
-export declare type ReposUpdateFileParams = {
-    /**
-     * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-     */
-    author?: ReposUpdateFileParamsAuthor;
-    /**
-     * The branch name. Default: the repository’s default branch (usually `master`)
-     */
-    branch?: string;
-    /**
-     * The person that committed the file. Default: the authenticated user.
-     */
-    committer?: ReposUpdateFileParamsCommitter;
-    /**
-     * The new file content, using Base64 encoding.
-     */
-    content: string;
-    /**
-     * The commit message.
-     */
-    message: string;
-    owner: string;
-    path: string;
-    repo: string;
-    /**
-     * **Required if you are updating a file**. The blob SHA of the file being replaced.
-     */
-    sha?: string;
-};
-export declare type ReposUpdateHookParams = {
-    /**
-     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-     */
-    active?: boolean;
-    /**
-     * Determines a list of events to be added to the list of events that the Hook triggers for.
-     */
-    add_events?: string[];
-    /**
-     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/repos/hooks/#create-hook-config-params).
-     */
-    config?: ReposUpdateHookParamsConfig;
-    /**
-     * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for. This replaces the entire array of events.
-     */
-    events?: string[];
-    hook_id: number;
-    owner: string;
-    /**
-     * Determines a list of events to be removed from the list of events that the Hook triggers for.
-     */
-    remove_events?: string[];
-    repo: string;
-};
-export declare type ReposUpdateInformationAboutPagesSiteParams = {
-    /**
-     * Specify a custom domain for the repository. Sending a `null` value will remove the custom domain. For more about custom domains, see "[Using a custom domain with GitHub Pages](https://help.github.com/articles/using-a-custom-domain-with-github-pages/)."
-     */
-    cname?: string;
-    owner: string;
-    repo: string;
-    /**
-     * Update the source for the repository. Must include the branch name, and may optionally specify the subdirectory `/docs`. Possible values are `"gh-pages"`, `"master"`, and `"master /docs"`.
-     */
-    source?: '"gh-pages"' | '"master"' | '"master /docs"';
-};
-export declare type ReposUpdateInvitationParams = {
-    invitation_id: number;
-    owner: string;
-    /**
-     * The permissions that the associated user will have on the repository. Valid values are `read`, `write`, and `admin`.
-     */
-    permissions?: "read" | "write" | "admin";
-    repo: string;
-};
-export declare type ReposUpdateProtectedBranchPullRequestReviewEnforcementParams = {
-    branch: string;
-    /**
-     * Set to `true` if you want to automatically dismiss approving reviews when someone pushes a new commit.
-     */
-    dismiss_stale_reviews?: boolean;
-    /**
-     * Specify which users and teams can dismiss pull request reviews. Pass an empty `dismissal_restrictions` object to disable. User and team `dismissal_restrictions` are only available for organization-owned repositories. Omit this parameter for personal repositories.
-     */
-    dismissal_restrictions?: ReposUpdateProtectedBranchPullRequestReviewEnforcementParamsDismissalRestrictions;
-    owner: string;
-    repo: string;
-    /**
-     * Blocks merging pull requests until [code owners](https://help.github.com/articles/about-code-owners/) have reviewed.
-     */
-    require_code_owner_reviews?: boolean;
-    /**
-     * Specifies the number of reviewers required to approve pull requests. Use a number between 1 and 6.
-     */
-    required_approving_review_count?: number;
-};
-export declare type ReposUpdateProtectedBranchRequiredStatusChecksParams = {
-    branch: string;
-    /**
-     * The list of status checks to require in order to merge into this branch
-     */
-    contexts?: string[];
-    owner: string;
-    repo: string;
-    /**
-     * Require branches to be up to date before merging.
-     */
-    strict?: boolean;
-};
-export declare type ReposUpdateReleaseParams = {
-    /**
-     * Text describing the contents of the tag.
-     */
-    body?: string;
-    /**
-     * `true` makes the release a draft, and `false` publishes the release.
-     */
-    draft?: boolean;
-    /**
-     * The name of the release.
-     */
-    name?: string;
-    owner: string;
-    /**
-     * `true` to identify the release as a prerelease, `false` to identify the release as a full release.
-     */
-    prerelease?: boolean;
-    release_id: number;
-    repo: string;
-    /**
-     * The name of the tag.
-     */
-    tag_name?: string;
-    /**
-     * Specifies the commitish value that determines where the Git tag is created from. Can be any branch or commit SHA. Unused if the Git tag already exists. Default: the repository's default branch (usually `master`).
-     */
-    target_commitish?: string;
-};
-export declare type ReposUpdateReleaseAssetParams = {
-    asset_id: number;
-    /**
-     * An alternate short description of the asset. Used in place of the filename.
-     */
-    label?: string;
-    /**
-     * The file name of the asset.
-     */
-    name?: string;
-    owner: string;
-    repo: string;
-};
-export declare type ReposUploadReleaseAssetParamsDeprecatedFile = {
-    /**
-     * @deprecated "file" parameter renamed to "data"
-     */
-    file: string | object;
-    headers: ReposUploadReleaseAssetParamsHeaders;
-    /**
-     * An alternate short description of the asset. Used in place of the filename. This should be set in a URI query parameter.
-     */
-    label?: string;
-    /**
-     * The file name of the asset. This should be set in a URI query parameter.
-     */
-    name: string;
-    /**
-     * The `upload_url` key returned from creating or getting a release
-     */
-    url: string;
-};
-export declare type ReposUploadReleaseAssetParams = {
-    data: string | object;
-    headers: ReposUploadReleaseAssetParamsHeaders;
-    /**
-     * An alternate short description of the asset. Used in place of the filename. This should be set in a URI query parameter.
-     */
-    label?: string;
-    /**
-     * The file name of the asset. This should be set in a URI query parameter.
-     */
-    name: string;
-    /**
-     * The `upload_url` key returned from creating or getting a release
-     */
-    url: string;
-};
-export declare type SearchCodeParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching code](https://help.github.com/articles/searching-code/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query. Can only be `indexed`, which indicates how recently a file has been indexed by the GitHub search infrastructure. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "indexed";
-};
-export declare type SearchCommitsParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching commits](https://help.github.com/articles/searching-commits/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by `author-date` or `committer-date`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "author-date" | "committer-date";
-};
-export declare type SearchEmailLegacyParams = {
-    /**
-     * The email address.
-     */
-    email: string;
-};
-export declare type SearchIssuesParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching issues and pull requests](https://help.github.com/articles/searching-issues-and-pull-requests/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by the number of `comments`, `reactions`, `reactions-+1`, `reactions--1`, `reactions-smile`, `reactions-thinking_face`, `reactions-heart`, `reactions-tada`, or `interactions`. You can also sort results by how recently the items were `created` or `updated`, Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "comments" | "reactions" | "reactions-+1" | "reactions--1" | "reactions-smile" | "reactions-thinking_face" | "reactions-heart" | "reactions-tada" | "interactions" | "created" | "updated";
-};
-export declare type SearchIssuesAndPullRequestsParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching issues and pull requests](https://help.github.com/articles/searching-issues-and-pull-requests/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by the number of `comments`, `reactions`, `reactions-+1`, `reactions--1`, `reactions-smile`, `reactions-thinking_face`, `reactions-heart`, `reactions-tada`, or `interactions`. You can also sort results by how recently the items were `created` or `updated`, Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "comments" | "reactions" | "reactions-+1" | "reactions--1" | "reactions-smile" | "reactions-thinking_face" | "reactions-heart" | "reactions-tada" | "interactions" | "created" | "updated";
-};
-export declare type SearchIssuesLegacyParams = {
-    /**
-     * The search term.
-     */
-    keyword: string;
-    owner: string;
-    repository: string;
-    /**
-     * Indicates the state of the issues to return. Can be either `open` or `closed`.
-     */
-    state: "open" | "closed";
-};
-export declare type SearchLabelsParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * The search keywords. This endpoint does not accept qualifiers in the query. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query).
-     */
-    q: string;
-    /**
-     * The id of the repository.
-     */
-    repository_id: number;
-    /**
-     * Sorts the results of your query by when the label was `created` or `updated`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "created" | "updated";
-};
-export declare type SearchReposParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching for repositories](https://help.github.com/articles/searching-for-repositories/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by number of `stars`, `forks`, or `help-wanted-issues` or how recently the items were `updated`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "stars" | "forks" | "help-wanted-issues" | "updated";
-};
-export declare type SearchReposLegacyParams = {
-    /**
-     * The search term.
-     */
-    keyword: string;
-    /**
-     * Filter results by language.
-     */
-    language?: string;
-    /**
-     * The sort field. if `sort` param is provided. Can be either `asc` or `desc`.
-     */
-    order?: "asc" | "desc";
-    /**
-     * The sort field. One of `stars`, `forks`, or `updated`. Default: results are sorted by best match.
-     */
-    sort?: "stars" | "forks" | "updated";
-    /**
-     * The page number to fetch.
-     */
-    start_page?: string;
-};
-export declare type SearchTopicsParams = {
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query).
-     */
-    q: string;
-};
-export declare type SearchUsersParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching users](https://help.github.com/articles/searching-users/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by number of `followers` or `repositories`, or when the person `joined` GitHub. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "followers" | "repositories" | "joined";
-};
-export declare type SearchUsersLegacyParams = {
-    /**
-     * The search term.
-     */
-    keyword: string;
-    /**
-     * The sort field. if `sort` param is provided. Can be either `asc` or `desc`.
-     */
-    order?: "asc" | "desc";
-    /**
-     * The sort field. One of `stars`, `forks`, or `updated`. Default: results are sorted by best match.
-     */
-    sort?: "stars" | "forks" | "updated";
-    /**
-     * The page number to fetch.
-     */
-    start_page?: string;
-};
-export declare type TeamsAddMemberParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsAddMemberLegacyParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsAddOrUpdateMembershipParams = {
-    /**
-     * The role that this user should have in the team. Can be one of:
-     * \* `member` - a normal member of the team.
-     * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-     */
-    role?: "member" | "maintainer";
-    team_id: number;
-    username: string;
-};
-export declare type TeamsAddOrUpdateMembershipInOrgParams = {
-    org: string;
-    /**
-     * The role that this user should have in the team. Can be one of:
-     * \* `member` - a normal member of the team.
-     * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-     */
-    role?: "member" | "maintainer";
-    team_slug: string;
-    username: string;
-};
-export declare type TeamsAddOrUpdateMembershipLegacyParams = {
-    /**
-     * The role that this user should have in the team. Can be one of:
-     * \* `member` - a normal member of the team.
-     * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-     */
-    role?: "member" | "maintainer";
-    team_id: number;
-    username: string;
-};
-export declare type TeamsAddOrUpdateProjectParams = {
-    /**
-     * The permission to grant to the team for this project. Can be one of:
-     * \* `read` - team members can read, but not write to or administer this project.
-     * \* `write` - team members can read and write, but not administer this project.
-     * \* `admin` - team members can read, write and administer this project.
-     * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    permission?: "read" | "write" | "admin";
-    project_id: number;
-    team_id: number;
-};
-export declare type TeamsAddOrUpdateProjectInOrgParams = {
-    org: string;
-    /**
-     * The permission to grant to the team for this project. Can be one of:
-     * \* `read` - team members can read, but not write to or administer this project.
-     * \* `write` - team members can read and write, but not administer this project.
-     * \* `admin` - team members can read, write and administer this project.
-     * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    permission?: "read" | "write" | "admin";
-    project_id: number;
-    team_slug: string;
-};
-export declare type TeamsAddOrUpdateProjectLegacyParams = {
-    /**
-     * The permission to grant to the team for this project. Can be one of:
-     * \* `read` - team members can read, but not write to or administer this project.
-     * \* `write` - team members can read and write, but not administer this project.
-     * \* `admin` - team members can read, write and administer this project.
-     * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    permission?: "read" | "write" | "admin";
-    project_id: number;
-    team_id: number;
-};
-export declare type TeamsAddOrUpdateRepoParams = {
-    owner: string;
-    /**
-     * The permission to grant the team on this repository. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer this repository.
-     * \* `push` - team members can pull and push, but not administer this repository.
-     * \* `admin` - team members can pull, push and administer this repository.
-     *
-     * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-     */
-    permission?: "pull" | "push" | "admin";
-    repo: string;
-    team_id: number;
-};
-export declare type TeamsAddOrUpdateRepoInOrgParams = {
-    org: string;
-    owner: string;
-    /**
-     * The permission to grant the team on this repository. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer this repository.
-     * \* `push` - team members can pull and push, but not administer this repository.
-     * \* `admin` - team members can pull, push and administer this repository.
-     *
-     * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-     */
-    permission?: "pull" | "push" | "admin";
-    repo: string;
-    team_slug: string;
-};
-export declare type TeamsAddOrUpdateRepoLegacyParams = {
-    owner: string;
-    /**
-     * The permission to grant the team on this repository. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer this repository.
-     * \* `push` - team members can pull and push, but not administer this repository.
-     * \* `admin` - team members can pull, push and administer this repository.
-     *
-     * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-     */
-    permission?: "pull" | "push" | "admin";
-    repo: string;
-    team_id: number;
-};
-export declare type TeamsCheckManagesRepoParams = {
-    owner: string;
-    repo: string;
-    team_id: number;
-};
-export declare type TeamsCheckManagesRepoInOrgParams = {
-    org: string;
-    owner: string;
-    repo: string;
-    team_slug: string;
-};
-export declare type TeamsCheckManagesRepoLegacyParams = {
-    owner: string;
-    repo: string;
-    team_id: number;
-};
-export declare type TeamsCreateParamsDeprecatedPermission = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * List GitHub IDs for organization members who will become team maintainers.
-     */
-    maintainers?: string[];
-    /**
-     * The name of the team.
-     */
-    name: string;
-    org: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-     * \* `push` - team members can pull and push, but not administer newly-added repositories.
-     * \* `admin` - team members can pull, push and administer newly-added repositories.
-     * @deprecated "permission" parameter has been deprecated and will be removed in future
-     */
-    permission?: string;
-    /**
-     * The level of privacy this team should have. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * Default: `secret`
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     * Default for child team: `closed`
-     */
-    privacy?: "secret" | "closed";
-    /**
-     * The full name (e.g., "organization-name/repository-name") of repositories to add the team to.
-     */
-    repo_names?: string[];
-};
-export declare type TeamsCreateParams = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * List GitHub IDs for organization members who will become team maintainers.
-     */
-    maintainers?: string[];
-    /**
-     * The name of the team.
-     */
-    name: string;
-    org: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * The level of privacy this team should have. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * Default: `secret`
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     * Default for child team: `closed`
-     */
-    privacy?: "secret" | "closed";
-    /**
-     * The full name (e.g., "organization-name/repository-name") of repositories to add the team to.
-     */
-    repo_names?: string[];
-};
-export declare type TeamsCreateDiscussionParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body: string;
-    /**
-     * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-     */
-    private?: boolean;
-    team_id: number;
-    /**
-     * The discussion post's title.
-     */
-    title: string;
-};
-export declare type TeamsCreateDiscussionCommentParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsCreateDiscussionCommentInOrgParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-};
-export declare type TeamsCreateDiscussionCommentLegacyParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsCreateDiscussionInOrgParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body: string;
-    org: string;
-    /**
-     * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-     */
-    private?: boolean;
-    team_slug: string;
-    /**
-     * The discussion post's title.
-     */
-    title: string;
-};
-export declare type TeamsCreateDiscussionLegacyParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body: string;
-    /**
-     * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-     */
-    private?: boolean;
-    team_id: number;
-    /**
-     * The discussion post's title.
-     */
-    title: string;
-};
-export declare type TeamsDeleteParams = {
-    team_id: number;
-};
-export declare type TeamsDeleteDiscussionParams = {
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsDeleteDiscussionCommentParams = {
-    comment_number: number;
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsDeleteDiscussionCommentInOrgParams = {
-    comment_number: number;
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-};
-export declare type TeamsDeleteDiscussionCommentLegacyParams = {
-    comment_number: number;
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsDeleteDiscussionInOrgParams = {
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-};
-export declare type TeamsDeleteDiscussionLegacyParams = {
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsDeleteInOrgParams = {
-    org: string;
-    team_slug: string;
-};
-export declare type TeamsDeleteLegacyParams = {
-    team_id: number;
-};
-export declare type TeamsGetParams = {
-    team_id: number;
-};
-export declare type TeamsGetByNameParams = {
-    org: string;
-    team_slug: string;
-};
-export declare type TeamsGetDiscussionParams = {
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsGetDiscussionCommentParams = {
-    comment_number: number;
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsGetDiscussionCommentInOrgParams = {
-    comment_number: number;
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-};
-export declare type TeamsGetDiscussionCommentLegacyParams = {
-    comment_number: number;
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsGetDiscussionInOrgParams = {
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-};
-export declare type TeamsGetDiscussionLegacyParams = {
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsGetLegacyParams = {
-    team_id: number;
-};
-export declare type TeamsGetMemberParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsGetMemberLegacyParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsGetMembershipParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsGetMembershipInOrgParams = {
-    org: string;
-    team_slug: string;
-    username: string;
-};
-export declare type TeamsGetMembershipLegacyParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsListParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type TeamsListChildParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListChildInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_slug: string;
-};
-export declare type TeamsListChildLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListDiscussionCommentsParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListDiscussionCommentsInOrgParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    discussion_number: number;
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_slug: string;
-};
-export declare type TeamsListDiscussionCommentsLegacyParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListDiscussionsParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListDiscussionsInOrgParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_slug: string;
-};
-export declare type TeamsListDiscussionsLegacyParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type TeamsListMembersParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Filters members returned by their role in the team. Can be one of:
-     * \* `member` - normal members of the team.
-     * \* `maintainer` - team maintainers.
-     * \* `all` - all members of the team.
-     */
-    role?: "member" | "maintainer" | "all";
-    team_id: number;
-};
-export declare type TeamsListMembersInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Filters members returned by their role in the team. Can be one of:
-     * \* `member` - normal members of the team.
-     * \* `maintainer` - team maintainers.
-     * \* `all` - all members of the team.
-     */
-    role?: "member" | "maintainer" | "all";
-    team_slug: string;
-};
-export declare type TeamsListMembersLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Filters members returned by their role in the team. Can be one of:
-     * \* `member` - normal members of the team.
-     * \* `maintainer` - team maintainers.
-     * \* `all` - all members of the team.
-     */
-    role?: "member" | "maintainer" | "all";
-    team_id: number;
-};
-export declare type TeamsListPendingInvitationsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListPendingInvitationsInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_slug: string;
-};
-export declare type TeamsListPendingInvitationsLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListProjectsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListProjectsInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_slug: string;
-};
-export declare type TeamsListProjectsLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListReposParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsListReposInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_slug: string;
-};
-export declare type TeamsListReposLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    team_id: number;
-};
-export declare type TeamsRemoveMemberParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsRemoveMemberLegacyParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsRemoveMembershipParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsRemoveMembershipInOrgParams = {
-    org: string;
-    team_slug: string;
-    username: string;
-};
-export declare type TeamsRemoveMembershipLegacyParams = {
-    team_id: number;
-    username: string;
-};
-export declare type TeamsRemoveProjectParams = {
-    project_id: number;
-    team_id: number;
-};
-export declare type TeamsRemoveProjectInOrgParams = {
-    org: string;
-    project_id: number;
-    team_slug: string;
-};
-export declare type TeamsRemoveProjectLegacyParams = {
-    project_id: number;
-    team_id: number;
-};
-export declare type TeamsRemoveRepoParams = {
-    owner: string;
-    repo: string;
-    team_id: number;
-};
-export declare type TeamsRemoveRepoInOrgParams = {
-    org: string;
-    owner: string;
-    repo: string;
-    team_slug: string;
-};
-export declare type TeamsRemoveRepoLegacyParams = {
-    owner: string;
-    repo: string;
-    team_id: number;
-};
-export declare type TeamsReviewProjectParams = {
-    project_id: number;
-    team_id: number;
-};
-export declare type TeamsReviewProjectInOrgParams = {
-    org: string;
-    project_id: number;
-    team_slug: string;
-};
-export declare type TeamsReviewProjectLegacyParams = {
-    project_id: number;
-    team_id: number;
-};
-export declare type TeamsUpdateParamsDeprecatedPermission = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-     * \* `push` - team members can pull and push, but not administer newly-added repositories.
-     * \* `admin` - team members can pull, push and administer newly-added repositories.
-     * @deprecated "permission" parameter has been deprecated and will be removed in future
-     */
-    permission?: string;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-    team_id: number;
-};
-export declare type TeamsUpdateParams = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-    team_id: number;
-};
-export declare type TeamsUpdateDiscussionParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body?: string;
-    discussion_number: number;
-    team_id: number;
-    /**
-     * The discussion post's title.
-     */
-    title?: string;
-};
-export declare type TeamsUpdateDiscussionCommentParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-    comment_number: number;
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsUpdateDiscussionCommentInOrgParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-    comment_number: number;
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-};
-export declare type TeamsUpdateDiscussionCommentLegacyParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-    comment_number: number;
-    discussion_number: number;
-    team_id: number;
-};
-export declare type TeamsUpdateDiscussionInOrgParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body?: string;
-    discussion_number: number;
-    org: string;
-    team_slug: string;
-    /**
-     * The discussion post's title.
-     */
-    title?: string;
-};
-export declare type TeamsUpdateDiscussionLegacyParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body?: string;
-    discussion_number: number;
-    team_id: number;
-    /**
-     * The discussion post's title.
-     */
-    title?: string;
-};
-export declare type TeamsUpdateInOrgParamsDeprecatedPermission = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    org: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-     * \* `push` - team members can pull and push, but not administer newly-added repositories.
-     * \* `admin` - team members can pull, push and administer newly-added repositories.
-     * @deprecated "permission" parameter has been deprecated and will be removed in future
-     */
-    permission?: string;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. When a team is nested, the `privacy` for parent teams cannot be `secret`. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-    team_slug: string;
-};
-export declare type TeamsUpdateInOrgParams = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    org: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. When a team is nested, the `privacy` for parent teams cannot be `secret`. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-    team_slug: string;
-};
-export declare type TeamsUpdateLegacyParamsDeprecatedPermission = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-     * \* `push` - team members can pull and push, but not administer newly-added repositories.
-     * \* `admin` - team members can pull, push and administer newly-added repositories.
-     * @deprecated "permission" parameter has been deprecated and will be removed in future
-     */
-    permission?: string;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-    team_id: number;
-};
-export declare type TeamsUpdateLegacyParams = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-    team_id: number;
-};
-export declare type UsersAddEmailsParams = {
-    /**
-     * Adds one or more email addresses to your GitHub account. Must contain at least one email address. **Note:** Alternatively, you can pass a single email address or an `array` of emails addresses directly, but we recommend that you pass an object using the `emails` key.
-     */
-    emails: string[];
-};
-export declare type UsersBlockParams = {
-    username: string;
-};
-export declare type UsersCheckBlockedParams = {
-    username: string;
-};
-export declare type UsersCheckFollowingParams = {
-    username: string;
-};
-export declare type UsersCheckFollowingForUserParams = {
-    target_user: string;
-    username: string;
-};
-export declare type UsersCreateGpgKeyParams = {
-    /**
-     * Your GPG key, generated in ASCII-armored format. See "[Generating a new GPG key](https://help.github.com/articles/generating-a-new-gpg-key/)" for help creating a GPG key.
-     */
-    armored_public_key?: string;
-};
-export declare type UsersCreatePublicKeyParams = {
-    /**
-     * The public SSH key to add to your GitHub account. See "[Generating a new SSH key](https://help.github.com/articles/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent/)" for guidance on how to create a public SSH key.
-     */
-    key?: string;
-    /**
-     * A descriptive name for the new key. Use a name that will help you recognize this key in your GitHub account. For example, if you're using a personal Mac, you might call this key "Personal MacBook Air".
-     */
-    title?: string;
-};
-export declare type UsersDeleteEmailsParams = {
-    /**
-     * Deletes one or more email addresses from your GitHub account. Must contain at least one email address. **Note:** Alternatively, you can pass a single email address or an `array` of emails addresses directly, but we recommend that you pass an object using the `emails` key.
-     */
-    emails: string[];
-};
-export declare type UsersDeleteGpgKeyParams = {
-    gpg_key_id: number;
-};
-export declare type UsersDeletePublicKeyParams = {
-    key_id: number;
-};
-export declare type UsersFollowParams = {
-    username: string;
-};
-export declare type UsersGetByUsernameParams = {
-    username: string;
-};
-export declare type UsersGetContextForUserParams = {
-    /**
-     * Uses the ID for the `subject_type` you specified. **Required** when using `subject_type`.
-     */
-    subject_id?: string;
-    /**
-     * Identifies which additional information you'd like to receive about the person's hovercard. Can be `organization`, `repository`, `issue`, `pull_request`. **Required** when using `subject_id`.
-     */
-    subject_type?: "organization" | "repository" | "issue" | "pull_request";
-    username: string;
-};
-export declare type UsersGetGpgKeyParams = {
-    gpg_key_id: number;
-};
-export declare type UsersGetPublicKeyParams = {
-    key_id: number;
-};
-export declare type UsersListParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The integer ID of the last User that you've seen.
-     */
-    since?: string;
-};
-export declare type UsersListEmailsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type UsersListFollowersForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type UsersListFollowersForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type UsersListFollowingForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type UsersListFollowingForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type UsersListGpgKeysParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type UsersListGpgKeysForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type UsersListPublicEmailsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type UsersListPublicKeysParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-};
-export declare type UsersListPublicKeysForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    username: string;
-};
-export declare type UsersTogglePrimaryEmailVisibilityParams = {
-    /**
-     * Specify the _primary_ email address that needs a visibility change.
-     */
-    email: string;
-    /**
-     * Use `public` to enable an authenticated user to view the specified email address, or use `private` so this primary email address cannot be seen publicly.
-     */
-    visibility: string;
-};
-export declare type UsersUnblockParams = {
-    username: string;
-};
-export declare type UsersUnfollowParams = {
-    username: string;
-};
-export declare type UsersUpdateAuthenticatedParams = {
-    /**
-     * The new short biography of the user.
-     */
-    bio?: string;
-    /**
-     * The new blog URL of the user.
-     */
-    blog?: string;
-    /**
-     * The new company of the user.
-     */
-    company?: string;
-    /**
-     * The publicly visible email address of the user.
-     */
-    email?: string;
-    /**
-     * The new hiring availability of the user.
-     */
-    hireable?: boolean;
-    /**
-     * The new location of the user.
-     */
-    location?: string;
-    /**
-     * The new name of the user.
-     */
-    name?: string;
-};
-export declare type AppsCreateInstallationTokenParamsPermissions = {};
-export declare type ChecksCreateParamsActions = {
-    /**
-     * A short explanation of what this action would do. The maximum size is 40 characters.
-     */
-    description: string;
-    /**
-     * A reference for the action on the integrator's system. The maximum size is 20 characters.
-     */
-    identifier: string;
-    /**
-     * The text to be displayed on a button in the web UI. The maximum size is 20 characters.
-     */
-    label: string;
-};
-export declare type ChecksCreateParamsOutput = {
-    /**
-     * Adds information from your analysis to specific lines of code. Annotations are visible on GitHub in the **Checks** and **Files changed** tab of the pull request. The Checks API limits the number of annotations to a maximum of 50 per API request. To create more than 50 annotations, you have to make multiple requests to the [Update a check run](https://developer.github.com/v3/checks/runs/#update-a-check-run) endpoint. Each time you update the check run, annotations are appended to the list of annotations that already exist for the check run. For details about how you can view annotations on GitHub, see "[About status checks](https://help.github.com/articles/about-status-checks#checks)". See the [`annotations` object](https://developer.github.com/v3/checks/runs/#annotations-object) description for details about how to use this parameter.
-     */
-    annotations?: ChecksCreateParamsOutputAnnotations[];
-    /**
-     * Adds images to the output displayed in the GitHub pull request UI. See the [`images` object](https://developer.github.com/v3/checks/runs/#images-object) description for details.
-     */
-    images?: ChecksCreateParamsOutputImages[];
-    /**
-     * The summary of the check run. This parameter supports Markdown.
-     */
-    summary: string;
-    /**
-     * The details of the check run. This parameter supports Markdown.
-     */
-    text?: string;
-    /**
-     * The title of the check run.
-     */
-    title: string;
-};
-export declare type ChecksCreateParamsOutputAnnotations = {
-    /**
-     * The level of the annotation. Can be one of `notice`, `warning`, or `failure`.
-     */
-    annotation_level: "notice" | "warning" | "failure";
-    /**
-     * The end column of the annotation. Annotations only support `start_column` and `end_column` on the same line. Omit this parameter if `start_line` and `end_line` have different values.
-     */
-    end_column?: number;
-    /**
-     * The end line of the annotation.
-     */
-    end_line: number;
-    /**
-     * A short description of the feedback for these lines of code. The maximum size is 64 KB.
-     */
-    message: string;
-    /**
-     * The path of the file to add an annotation to. For example, `assets/css/main.css`.
-     */
-    path: string;
-    /**
-     * Details about this annotation. The maximum size is 64 KB.
-     */
-    raw_details?: string;
-    /**
-     * The start column of the annotation. Annotations only support `start_column` and `end_column` on the same line. Omit this parameter if `start_line` and `end_line` have different values.
-     */
-    start_column?: number;
-    /**
-     * The start line of the annotation.
-     */
-    start_line: number;
-    /**
-     * The title that represents the annotation. The maximum size is 255 characters.
-     */
-    title?: string;
-};
-export declare type ChecksCreateParamsOutputImages = {
-    /**
-     * The alternative text for the image.
-     */
-    alt: string;
-    /**
-     * A short image description.
-     */
-    caption?: string;
-    /**
-     * The full URL of the image.
-     */
-    image_url: string;
-};
-export declare type ChecksSetSuitesPreferencesParamsAutoTriggerChecks = {
-    /**
-     * The `id` of the GitHub App.
-     */
-    app_id: number;
-    /**
-     * Set to `true` to enable automatic creation of CheckSuite events upon pushes to the repository, or `false` to disable them.
-     */
-    setting: boolean;
-};
-export declare type ChecksUpdateParamsActions = {
-    /**
-     * A short explanation of what this action would do. The maximum size is 40 characters.
-     */
-    description: string;
-    /**
-     * A reference for the action on the integrator's system. The maximum size is 20 characters.
-     */
-    identifier: string;
-    /**
-     * The text to be displayed on a button in the web UI. The maximum size is 20 characters.
-     */
-    label: string;
-};
-export declare type ChecksUpdateParamsOutput = {
-    /**
-     * Adds information from your analysis to specific lines of code. Annotations are visible in GitHub's pull request UI. Annotations are visible in GitHub's pull request UI. The Checks API limits the number of annotations to a maximum of 50 per API request. To create more than 50 annotations, you have to make multiple requests to the [Update a check run](https://developer.github.com/v3/checks/runs/#update-a-check-run) endpoint. Each time you update the check run, annotations are appended to the list of annotations that already exist for the check run. For details about annotations in the UI, see "[About status checks](https://help.github.com/articles/about-status-checks#checks)". See the [`annotations` object](https://developer.github.com/v3/checks/runs/#annotations-object-1) description for details.
-     */
-    annotations?: ChecksUpdateParamsOutputAnnotations[];
-    /**
-     * Adds images to the output displayed in the GitHub pull request UI. See the [`images` object](https://developer.github.com/v3/checks/runs/#annotations-object-1) description for details.
-     */
-    images?: ChecksUpdateParamsOutputImages[];
-    /**
-     * Can contain Markdown.
-     */
-    summary: string;
-    /**
-     * Can contain Markdown.
-     */
-    text?: string;
-    /**
-     * **Required**.
-     */
-    title?: string;
-};
-export declare type ChecksUpdateParamsOutputAnnotations = {
-    /**
-     * The level of the annotation. Can be one of `notice`, `warning`, or `failure`.
-     */
-    annotation_level: "notice" | "warning" | "failure";
-    /**
-     * The end column of the annotation. Annotations only support `start_column` and `end_column` on the same line. Omit this parameter if `start_line` and `end_line` have different values.
-     */
-    end_column?: number;
-    /**
-     * The end line of the annotation.
-     */
-    end_line: number;
-    /**
-     * A short description of the feedback for these lines of code. The maximum size is 64 KB.
-     */
-    message: string;
-    /**
-     * The path of the file to add an annotation to. For example, `assets/css/main.css`.
-     */
-    path: string;
-    /**
-     * Details about this annotation. The maximum size is 64 KB.
-     */
-    raw_details?: string;
-    /**
-     * The start column of the annotation. Annotations only support `start_column` and `end_column` on the same line. Omit this parameter if `start_line` and `end_line` have different values.
-     */
-    start_column?: number;
-    /**
-     * The start line of the annotation.
-     */
-    start_line: number;
-    /**
-     * The title that represents the annotation. The maximum size is 255 characters.
-     */
-    title?: string;
-};
-export declare type ChecksUpdateParamsOutputImages = {
-    /**
-     * The alternative text for the image.
-     */
-    alt: string;
-    /**
-     * A short image description.
-     */
-    caption?: string;
-    /**
-     * The full URL of the image.
-     */
-    image_url: string;
-};
-export declare type GistsCreateParamsFiles = {
-    /**
-     * The content of the file.
-     */
-    content?: string;
-};
-export declare type GistsUpdateParamsFiles = {
-    /**
-     * The updated content of the file.
-     */
-    content?: string;
-    /**
-     * The new name for this file. To delete a file, set the value of the filename to `null`.
-     */
-    filename?: string;
-};
-export declare type GitCreateCommitParamsAuthor = {
-    /**
-     * Indicates when this commit was authored (or committed). This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    date?: string;
-    /**
-     * The email of the author (or committer) of the commit
-     */
-    email?: string;
-    /**
-     * The name of the author (or committer) of the commit
-     */
-    name?: string;
-};
-export declare type GitCreateCommitParamsCommitter = {
-    /**
-     * Indicates when this commit was authored (or committed). This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    date?: string;
-    /**
-     * The email of the author (or committer) of the commit
-     */
-    email?: string;
-    /**
-     * The name of the author (or committer) of the commit
-     */
-    name?: string;
-};
-export declare type GitCreateTagParamsTagger = {
-    /**
-     * When this object was tagged. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    date?: string;
-    /**
-     * The email of the author of the tag
-     */
-    email?: string;
-    /**
-     * The name of the author of the tag
-     */
-    name?: string;
-};
-export declare type GitCreateTreeParamsTree = {
-    /**
-     * The content you want this file to have. GitHub will write this blob out and use that SHA for this entry. Use either this, or `tree.sha`.
-     *
-     * **Note:** Use either `tree.sha` or `content` to specify the contents of the entry. Using both `tree.sha` and `content` will return an error.
-     */
-    content?: string;
-    /**
-     * The file mode; one of `100644` for file (blob), `100755` for executable (blob), `040000` for subdirectory (tree), `160000` for submodule (commit), or `120000` for a blob that specifies the path of a symlink.
-     */
-    mode?: "100644" | "100755" | "040000" | "160000" | "120000";
-    /**
-     * The file referenced in the tree.
-     */
-    path?: string;
-    /**
-     * The SHA1 checksum ID of the object in the tree. Also called `tree.sha`. If the value is `null` then the file will be deleted.
-     *
-     * **Note:** Use either `tree.sha` or `content` to specify the contents of the entry. Using both `tree.sha` and `content` will return an error.
-     */
-    sha?: string | null;
-    /**
-     * Either `blob`, `tree`, or `commit`.
-     */
-    type?: "blob" | "tree" | "commit";
-};
-export declare type OrgsCreateHookParamsConfig = {
-    /**
-     * The media type used to serialize the payloads. Supported values include `json` and `form`. The default is `form`.
-     */
-    content_type?: string;
-    /**
-     * Determines whether the SSL certificate of the host for `url` will be verified when delivering payloads. Supported values include `0` (verification is performed) and `1` (verification is not performed). The default is `0`. **We strongly recommend not setting this to `1` as you are subject to man-in-the-middle and other attacks.**
-     */
-    insecure_ssl?: string;
-    /**
-     * If provided, the `secret` will be used as the `key` to generate the HMAC hex digest value in the [`X-Hub-Signature`](https://developer.github.com/webhooks/#delivery-headers) header.
-     */
-    secret?: string;
-    /**
-     * The URL to which the payloads will be delivered.
-     */
-    url: string;
-};
-export declare type OrgsUpdateHookParamsConfig = {
-    /**
-     * The media type used to serialize the payloads. Supported values include `json` and `form`. The default is `form`.
-     */
-    content_type?: string;
-    /**
-     * Determines whether the SSL certificate of the host for `url` will be verified when delivering payloads. Supported values include `0` (verification is performed) and `1` (verification is not performed). The default is `0`. **We strongly recommend not setting this to `1` as you are subject to man-in-the-middle and other attacks.**
-     */
-    insecure_ssl?: string;
-    /**
-     * If provided, the `secret` will be used as the `key` to generate the HMAC hex digest value in the [`X-Hub-Signature`](https://developer.github.com/webhooks/#delivery-headers) header.
-     */
-    secret?: string;
-    /**
-     * The URL to which the payloads will be delivered.
-     */
-    url: string;
-};
-export declare type PullsCreateReviewParamsComments = {
-    /**
-     * Text of the review comment.
-     */
-    body: string;
-    /**
-     * The relative path to the file that necessitates a review comment.
-     */
-    path: string;
-    /**
-     * The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note below.
-     */
-    position: number;
-};
-export declare type ReposCreateDispatchEventParamsClientPayload = {};
-export declare type ReposCreateFileParamsAuthor = {
-    /**
-     * The email of the author or committer of the commit. You'll receive a `422` status code if `email` is omitted.
-     */
-    email: string;
-    /**
-     * The name of the author or committer of the commit. You'll receive a `422` status code if `name` is omitted.
-     */
-    name: string;
-};
-export declare type ReposCreateFileParamsCommitter = {
-    /**
-     * The email of the author or committer of the commit. You'll receive a `422` status code if `email` is omitted.
-     */
-    email: string;
-    /**
-     * The name of the author or committer of the commit. You'll receive a `422` status code if `name` is omitted.
-     */
-    name: string;
-};
-export declare type ReposCreateHookParamsConfig = {
-    /**
-     * The media type used to serialize the payloads. Supported values include `json` and `form`. The default is `form`.
-     */
-    content_type?: string;
-    /**
-     * Determines whether the SSL certificate of the host for `url` will be verified when delivering payloads. Supported values include `0` (verification is performed) and `1` (verification is not performed). The default is `0`. **We strongly recommend not setting this to `1` as you are subject to man-in-the-middle and other attacks.**
-     */
-    insecure_ssl?: string;
-    /**
-     * If provided, the `secret` will be used as the `key` to generate the HMAC hex digest value in the [`X-Hub-Signature`](https://developer.github.com/webhooks/#delivery-headers) header.
-     */
-    secret?: string;
-    /**
-     * The URL to which the payloads will be delivered.
-     */
-    url: string;
-};
-export declare type ReposCreateOrUpdateFileParamsAuthor = {
-    /**
-     * The email of the author or committer of the commit. You'll receive a `422` status code if `email` is omitted.
-     */
-    email: string;
-    /**
-     * The name of the author or committer of the commit. You'll receive a `422` status code if `name` is omitted.
-     */
-    name: string;
-};
-export declare type ReposCreateOrUpdateFileParamsCommitter = {
-    /**
-     * The email of the author or committer of the commit. You'll receive a `422` status code if `email` is omitted.
-     */
-    email: string;
-    /**
-     * The name of the author or committer of the commit. You'll receive a `422` status code if `name` is omitted.
-     */
-    name: string;
-};
-export declare type ReposDeleteFileParamsAuthor = {
-    /**
-     * The email of the author (or committer) of the commit
-     */
-    email?: string;
-    /**
-     * The name of the author (or committer) of the commit
-     */
-    name?: string;
-};
-export declare type ReposDeleteFileParamsCommitter = {
-    /**
-     * The email of the author (or committer) of the commit
-     */
-    email?: string;
-    /**
-     * The name of the author (or committer) of the commit
-     */
-    name?: string;
-};
-export declare type ReposEnablePagesSiteParamsSource = {
-    /**
-     * The repository branch used to publish your [site's source files](https://help.github.com/articles/configuring-a-publishing-source-for-github-pages/). Can be either `master` or `gh-pages`.
-     */
-    branch?: "master" | "gh-pages";
-    /**
-     * The repository directory that includes the source files for the Pages site. When `branch` is `master`, you can change `path` to `/docs`. When `branch` is `gh-pages`, you are unable to specify a `path` other than `/`.
-     */
-    path?: string;
-};
-export declare type ReposUpdateBranchProtectionParamsRequiredPullRequestReviews = {
-    /**
-     * Set to `true` if you want to automatically dismiss approving reviews when someone pushes a new commit.
-     */
-    dismiss_stale_reviews?: boolean;
-    /**
-     * Specify which users and teams can dismiss pull request reviews. Pass an empty `dismissal_restrictions` object to disable. User and team `dismissal_restrictions` are only available for organization-owned repositories. Omit this parameter for personal repositories.
-     */
-    dismissal_restrictions?: ReposUpdateBranchProtectionParamsRequiredPullRequestReviewsDismissalRestrictions;
-    /**
-     * Blocks merging pull requests until [code owners](https://help.github.com/articles/about-code-owners/) review them.
-     */
-    require_code_owner_reviews?: boolean;
-    /**
-     * Specify the number of reviewers required to approve pull requests. Use a number between 1 and 6.
-     */
-    required_approving_review_count?: number;
-};
-export declare type ReposUpdateBranchProtectionParamsRequiredPullRequestReviewsDismissalRestrictions = {
-    /**
-     * The list of team `slug`s with dismissal access
-     */
-    teams?: string[];
-    /**
-     * The list of user `login`s with dismissal access
-     */
-    users?: string[];
-};
-export declare type ReposUpdateBranchProtectionParamsRequiredStatusChecks = {
-    /**
-     * The list of status checks to require in order to merge into this branch
-     */
-    contexts: string[];
-    /**
-     * Require branches to be up to date before merging.
-     */
-    strict: boolean;
-};
-export declare type ReposUpdateBranchProtectionParamsRestrictions = {
-    /**
-     * The list of app `slug`s with push access
-     */
-    apps?: string[];
-    /**
-     * The list of team `slug`s with push access
-     */
-    teams: string[];
-    /**
-     * The list of user `login`s with push access
-     */
-    users: string[];
-};
-export declare type ReposUpdateFileParamsAuthor = {
-    /**
-     * The email of the author or committer of the commit. You'll receive a `422` status code if `email` is omitted.
-     */
-    email: string;
-    /**
-     * The name of the author or committer of the commit. You'll receive a `422` status code if `name` is omitted.
-     */
-    name: string;
-};
-export declare type ReposUpdateFileParamsCommitter = {
-    /**
-     * The email of the author or committer of the commit. You'll receive a `422` status code if `email` is omitted.
-     */
-    email: string;
-    /**
-     * The name of the author or committer of the commit. You'll receive a `422` status code if `name` is omitted.
-     */
-    name: string;
-};
-export declare type ReposUpdateHookParamsConfig = {
-    /**
-     * The media type used to serialize the payloads. Supported values include `json` and `form`. The default is `form`.
-     */
-    content_type?: string;
-    /**
-     * Determines whether the SSL certificate of the host for `url` will be verified when delivering payloads. Supported values include `0` (verification is performed) and `1` (verification is not performed). The default is `0`. **We strongly recommend not setting this to `1` as you are subject to man-in-the-middle and other attacks.**
-     */
-    insecure_ssl?: string;
-    /**
-     * If provided, the `secret` will be used as the `key` to generate the HMAC hex digest value in the [`X-Hub-Signature`](https://developer.github.com/webhooks/#delivery-headers) header.
-     */
-    secret?: string;
-    /**
-     * The URL to which the payloads will be delivered.
-     */
-    url: string;
-};
-export declare type ReposUpdateProtectedBranchPullRequestReviewEnforcementParamsDismissalRestrictions = {
-    /**
-     * The list of team `slug`s with dismissal access
-     */
-    teams?: string[];
-    /**
-     * The list of user `login`s with dismissal access
-     */
-    users?: string[];
-};
-export declare type ReposUploadReleaseAssetParamsHeaders = {
-    "content-length": number;
-    "content-type": string;
-};
-export declare type RestEndpointMethods = {
-    actions: {
-        /**
-         * Cancels a workflow run using its `id`. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        cancelWorkflowRun: {
-            (params?: RequestParameters & ActionsCancelWorkflowRunParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates or updates a secret with an encrypted value. Encrypt your secret using [LibSodium](https://libsodium.gitbook.io/doc/bindings_for_other_languages). Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-         *
-         * Encrypt your secret using the [tweetsodium](https://github.com/mastahyeti/tweetsodium) library.
-         *
-         *
-         *
-         * Encrypt your secret using [pynacl](https://pynacl.readthedocs.io/en/stable/public/#nacl-public-sealedbox) with Python 3.
-         *
-         *
-         *
-         * Encrypt your secret using the [Sodium.Core](https://www.nuget.org/packages/Sodium.Core/) package.
-         *
-         *
-         *
-         * Encrypt your secret using the [rbnacl](https://github.com/RubyCrypto/rbnacl) gem.
-         */
-        createOrUpdateSecretForRepo: {
-            (params?: RequestParameters & ActionsCreateOrUpdateSecretForRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns a token that you can pass to the `config` script. The token expires after one hour. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-         *
-         * Configure your self-hosted runner, replacing TOKEN with the registration token provided by this endpoint.
-         */
-        createRegistrationToken: {
-            (params?: RequestParameters & ActionsCreateRegistrationTokenParams): Promise<OctokitResponse<ActionsCreateRegistrationTokenResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns a token that you can pass to remove a self-hosted runner from a repository. The token expires after one hour. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-         *
-         * Remove your self-hosted runner from a repository, replacing TOKEN with the remove token provided by this endpoint.
-         */
-        createRemoveToken: {
-            (params?: RequestParameters & ActionsCreateRemoveTokenParams): Promise<OctokitResponse<ActionsCreateRemoveTokenResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deletes an artifact for a workflow run. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        deleteArtifact: {
-            (params?: RequestParameters & ActionsDeleteArtifactParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deletes a secret in a repository using the secret name. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-         */
-        deleteSecretFromRepo: {
-            (params?: RequestParameters & ActionsDeleteSecretFromRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a redirect URL to download an archive for a repository. This URL expires after 1 minute. Look for `Location:` in the response header to find the URL for the download. The `:archive_format` must be `zip`. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         *
-         * Call this endpoint using the `-v` flag, which enables verbose output and allows you to see the download URL in the header. To download the file into the current working directory, specify the filename using the `-o` flag.
-         */
-        downloadArtifact: {
-            (params?: RequestParameters & ActionsDownloadArtifactParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a specific artifact for a workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        getArtifact: {
-            (params?: RequestParameters & ActionsGetArtifactParams): Promise<OctokitResponse<ActionsGetArtifactResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets your public key, which you must store. You need your public key to use other secrets endpoints. Use the returned `key` to encrypt your secrets. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-         */
-        getPublicKey: {
-            (params?: RequestParameters & ActionsGetPublicKeyParams): Promise<OctokitResponse<ActionsGetPublicKeyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a single secret without revealing its encrypted value. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-         */
-        getSecret: {
-            (params?: RequestParameters & ActionsGetSecretParams): Promise<OctokitResponse<ActionsGetSecretResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a specific self-hosted runner. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-         */
-        getSelfHostedRunner: {
-            (params?: RequestParameters & ActionsGetSelfHostedRunnerParams): Promise<OctokitResponse<ActionsGetSelfHostedRunnerResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a specific workflow. You can also replace `:workflow_id` with `:workflow_file_name`. For example, you could use `main.yml`. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        getWorkflow: {
-            (params?: RequestParameters & ActionsGetWorkflowParams): Promise<OctokitResponse<ActionsGetWorkflowResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a specific job in a workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        getWorkflowJob: {
-            (params?: RequestParameters & ActionsGetWorkflowJobParams): Promise<OctokitResponse<ActionsGetWorkflowJobResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a specific workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        getWorkflowRun: {
-            (params?: RequestParameters & ActionsGetWorkflowRunParams): Promise<OctokitResponse<ActionsGetWorkflowRunResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists binaries for the self-hosted runner application that you can download and run. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-         */
-        listDownloadsForSelfHostedRunnerApplication: {
-            (params?: RequestParameters & ActionsListDownloadsForSelfHostedRunnerApplicationParams): Promise<OctokitResponse<ActionsListDownloadsForSelfHostedRunnerApplicationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists jobs for a workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        listJobsForWorkflowRun: {
-            (params?: RequestParameters & ActionsListJobsForWorkflowRunParams): Promise<OctokitResponse<ActionsListJobsForWorkflowRunResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all workflow runs for a repository. You can use parameters to narrow the list of results. For more information about using parameters, see [Parameters](https://developer.github.com/v3/#parameters).
-         *
-         * Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        listRepoWorkflowRuns: {
-            (params?: RequestParameters & ActionsListRepoWorkflowRunsParams): Promise<OctokitResponse<ActionsListRepoWorkflowRunsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the workflows in a repository. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        listRepoWorkflows: {
-            (params?: RequestParameters & ActionsListRepoWorkflowsParams): Promise<OctokitResponse<ActionsListRepoWorkflowsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all secrets available in a repository without revealing their encrypted values. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-         */
-        listSecretsForRepo: {
-            (params?: RequestParameters & ActionsListSecretsForRepoParams): Promise<OctokitResponse<ActionsListSecretsForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all self-hosted runners for a repository. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-         */
-        listSelfHostedRunnersForRepo: {
-            (params?: RequestParameters & ActionsListSelfHostedRunnersForRepoParams): Promise<OctokitResponse<ActionsListSelfHostedRunnersForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a redirect URL to download a plain text file of logs for a workflow job. This link expires after 1 minute. Look for `Location:` in the response header to find the URL for the download. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         *
-         * Call this endpoint using the `-v` flag, which enables verbose output and allows you to see the download URL in the header. To download the file into the current working directory, specify the filename using the `-o` flag.
-         */
-        listWorkflowJobLogs: {
-            (params?: RequestParameters & ActionsListWorkflowJobLogsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists artifacts for a workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        listWorkflowRunArtifacts: {
-            (params?: RequestParameters & ActionsListWorkflowRunArtifactsParams): Promise<OctokitResponse<ActionsListWorkflowRunArtifactsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a redirect URL to download an archive of log files for a workflow run. This link expires after 1 minute. Look for `Location:` in the response header to find the URL for the download. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         *
-         * Call this endpoint using the `-v` flag, which enables verbose output and allows you to see the download URL in the header. To download the file into the current working directory, specify the filename using the `-o` flag.
-         */
-        listWorkflowRunLogs: {
-            (params?: RequestParameters & ActionsListWorkflowRunLogsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all workflow runs for a workflow. You can also replace `:workflow_id` with `:workflow_file_name`. For example, you could use `main.yml`. You can use parameters to narrow the list of results. For more information about using parameters, see [Parameters](https://developer.github.com/v3/#parameters).
-         *
-         * Anyone with read access to the repository can use this endpoint.
-         */
-        listWorkflowRuns: {
-            (params?: RequestParameters & ActionsListWorkflowRunsParams): Promise<OctokitResponse<ActionsListWorkflowRunsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Re-runs your workflow run using its `id`. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-         */
-        reRunWorkflow: {
-            (params?: RequestParameters & ActionsReRunWorkflowParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Forces the removal of a self-hosted runner from a repository. You can use this endpoint to completely remove the runner when the machine you were using no longer exists. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-         */
-        removeSelfHostedRunner: {
-            (params?: RequestParameters & ActionsRemoveSelfHostedRunnerParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-    };
-    activity: {
-        /**
-         * Requires for the user to be authenticated.
-         */
-        checkStarringRepo: {
-            (params?: RequestParameters & ActivityCheckStarringRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Requires for the user to be authenticated.
-         */
-        checkWatchingRepoLegacy: {
-            (params?: RequestParameters & ActivityCheckWatchingRepoLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint should only be used to stop watching a repository. To control whether or not you wish to receive notifications from a repository, [set the repository's subscription manually](https://developer.github.com/v3/activity/watching/#set-a-repository-subscription).
-         */
-        deleteRepoSubscription: {
-            (params?: RequestParameters & ActivityDeleteRepoSubscriptionParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Mutes all future notifications for a conversation until you comment on the thread or get **@mention**ed.
-         */
-        deleteThreadSubscription: {
-            (params?: RequestParameters & ActivityDeleteThreadSubscriptionParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        getRepoSubscription: {
-            (params?: RequestParameters & ActivityGetRepoSubscriptionParams): Promise<OctokitResponse<ActivityGetRepoSubscriptionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getThread: {
-            (params?: RequestParameters & ActivityGetThreadParams): Promise<OctokitResponse<ActivityGetThreadResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This checks to see if the current user is subscribed to a thread. You can also [get a repository subscription](https://developer.github.com/v3/activity/watching/#get-a-repository-subscription).
-         *
-         * Note that subscriptions are only generated if a user is participating in a conversation--for example, they've replied to the thread, were **@mentioned**, or manually subscribe to a thread.
-         */
-        getThreadSubscription: {
-            (params?: RequestParameters & ActivityGetThreadSubscriptionParams): Promise<OctokitResponse<ActivityGetThreadSubscriptionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This is the user's organization dashboard. You must be authenticated as the user to view this.
-         */
-        listEventsForOrg: {
-            (params?: RequestParameters & ActivityListEventsForOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * If you are authenticated as the given user, you will see your private events. Otherwise, you'll only see public events.
-         */
-        listEventsForUser: {
-            (params?: RequestParameters & ActivityListEventsForUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * GitHub provides several timeline resources in [Atom](http://en.wikipedia.org/wiki/Atom_(standard)) format. The Feeds API lists all the feeds available to the authenticated user:
-         *
-         * *   **Timeline**: The GitHub global public timeline
-         * *   **User**: The public timeline for any user, using [URI template](https://developer.github.com/v3/#hypermedia)
-         * *   **Current user public**: The public timeline for the authenticated user
-         * *   **Current user**: The private timeline for the authenticated user
-         * *   **Current user actor**: The private timeline for activity created by the authenticated user
-         * *   **Current user organizations**: The private timeline for the organizations the authenticated user is a member of.
-         * *   **Security advisories**: A collection of public announcements that provide information about security-related vulnerabilities in software on GitHub.
-         *
-         * **Note**: Private feeds are only returned when [authenticating via Basic Auth](https://developer.github.com/v3/#basic-authentication) since current feed URIs use the older, non revocable auth tokens.
-         */
-        listFeeds: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<ActivityListFeedsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all notifications for the current user, sorted by most recently updated.
-         *
-         * The following example uses the `since` parameter to list notifications that have been updated after the specified time.
-         */
-        listNotifications: {
-            (params?: RequestParameters & ActivityListNotificationsParams): Promise<OctokitResponse<ActivityListNotificationsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all notifications for the current user.
-         */
-        listNotificationsForRepo: {
-            (params?: RequestParameters & ActivityListNotificationsForRepoParams): Promise<OctokitResponse<ActivityListNotificationsForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * We delay the public events feed by five minutes, which means the most recent event returned by the public events API actually occurred at least five minutes ago.
-         */
-        listPublicEvents: {
-            (params?: RequestParameters & ActivityListPublicEventsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        listPublicEventsForOrg: {
-            (params?: RequestParameters & ActivityListPublicEventsForOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        listPublicEventsForRepoNetwork: {
-            (params?: RequestParameters & ActivityListPublicEventsForRepoNetworkParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        listPublicEventsForUser: {
-            (params?: RequestParameters & ActivityListPublicEventsForUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * These are events that you've received by watching repos and following users. If you are authenticated as the given user, you will see private events. Otherwise, you'll only see public events.
-         */
-        listReceivedEventsForUser: {
-            (params?: RequestParameters & ActivityListReceivedEventsForUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        listReceivedPublicEventsForUser: {
-            (params?: RequestParameters & ActivityListReceivedPublicEventsForUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        listRepoEvents: {
-            (params?: RequestParameters & ActivityListRepoEventsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-         */
-        listReposStarredByAuthenticatedUser: {
-            (params?: RequestParameters & ActivityListReposStarredByAuthenticatedUserParams): Promise<OctokitResponse<ActivityListReposStarredByAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-         */
-        listReposStarredByUser: {
-            (params?: RequestParameters & ActivityListReposStarredByUserParams): Promise<OctokitResponse<ActivityListReposStarredByUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listReposWatchedByUser: {
-            (params?: RequestParameters & ActivityListReposWatchedByUserParams): Promise<OctokitResponse<ActivityListReposWatchedByUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-         */
-        listStargazersForRepo: {
-            (params?: RequestParameters & ActivityListStargazersForRepoParams): Promise<OctokitResponse<ActivityListStargazersForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listWatchedReposForAuthenticatedUser: {
-            (params?: RequestParameters & ActivityListWatchedReposForAuthenticatedUserParams): Promise<OctokitResponse<ActivityListWatchedReposForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listWatchersForRepo: {
-            (params?: RequestParameters & ActivityListWatchersForRepoParams): Promise<OctokitResponse<ActivityListWatchersForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Marks a notification as "read" removes it from the [default view on GitHub](https://github.com/notifications). If the number of notifications is too large to complete in one request, you will receive a `202 Accepted` status and GitHub will run an asynchronous process to mark notifications as "read." To check whether any "unread" notifications remain, you can use the [List your notifications](https://developer.github.com/v3/activity/notifications/#list-your-notifications) endpoint and pass the query parameter `all=false`.
-         */
-        markAsRead: {
-            (params?: RequestParameters & ActivityMarkAsReadParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Marks all notifications in a repository as "read" removes them from the [default view on GitHub](https://github.com/notifications). If the number of notifications is too large to complete in one request, you will receive a `202 Accepted` status and GitHub will run an asynchronous process to mark notifications as "read." To check whether any "unread" notifications remain, you can use the [List your notifications in a repository](https://developer.github.com/v3/activity/notifications/#list-your-notifications-in-a-repository) endpoint and pass the query parameter `all=false`.
-         */
-        markNotificationsAsReadForRepo: {
-            (params?: RequestParameters & ActivityMarkNotificationsAsReadForRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        markThreadAsRead: {
-            (params?: RequestParameters & ActivityMarkThreadAsReadParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * If you would like to watch a repository, set `subscribed` to `true`. If you would like to ignore notifications made within a repository, set `ignored` to `true`. If you would like to stop watching a repository, [delete the repository's subscription](https://developer.github.com/v3/activity/watching/#delete-a-repository-subscription) completely.
-         */
-        setRepoSubscription: {
-            (params?: RequestParameters & ActivitySetRepoSubscriptionParams): Promise<OctokitResponse<ActivitySetRepoSubscriptionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This lets you subscribe or unsubscribe from a conversation.
-         */
-        setThreadSubscription: {
-            (params?: RequestParameters & ActivitySetThreadSubscriptionParams): Promise<OctokitResponse<ActivitySetThreadSubscriptionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Requires for the user to be authenticated.
-         *
-         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         */
-        starRepo: {
-            (params?: RequestParameters & ActivityStarRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Requires for the user to be authenticated.
-         */
-        stopWatchingRepoLegacy: {
-            (params?: RequestParameters & ActivityStopWatchingRepoLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Requires for the user to be authenticated.
-         */
-        unstarRepo: {
-            (params?: RequestParameters & ActivityUnstarRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Requires the user to be authenticated.
-         *
-         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         */
-        watchRepoLegacy: {
-            (params?: RequestParameters & ActivityWatchRepoLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-    };
-    apps: {
-        /**
-         * Add a single repository to an installation. The authenticated user must have admin access to the repository.
-         *
-         * You must use a personal access token (which you can create via the [command line](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization)) or [Basic Authentication](https://developer.github.com/v3/auth/#basic-authentication) to access this endpoint.
-         */
-        addRepoToInstallation: {
-            (params?: RequestParameters & AppsAddRepoToInstallationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Shows whether the user or organization account actively subscribes to a plan listed by the authenticated GitHub App. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
-         *
-         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-         */
-        checkAccountIsAssociatedWithAny: {
-            (params?: RequestParameters & AppsCheckAccountIsAssociatedWithAnyParams): Promise<OctokitResponse<AppsCheckAccountIsAssociatedWithAnyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Shows whether the user or organization account actively subscribes to a plan listed by the authenticated GitHub App. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
-         *
-         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-         */
-        checkAccountIsAssociatedWithAnyStubbed: {
-            (params?: RequestParameters & AppsCheckAccountIsAssociatedWithAnyStubbedParams): Promise<OctokitResponse<AppsCheckAccountIsAssociatedWithAnyStubbedResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * OAuth applications can use a special API method for checking OAuth token validity without exceeding the normal rate limits for failed login attempts. Authentication works differently with this particular endpoint. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-         * @deprecated octokit.apps.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization
-         */
-        checkAuthorization: {
-            (params?: RequestParameters & AppsCheckAuthorizationParams): Promise<OctokitResponse<AppsCheckAuthorizationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * OAuth applications can use a special API method for checking OAuth token validity without exceeding the normal rate limits for failed login attempts. Authentication works differently with this particular endpoint. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) to use this endpoint, where the username is the OAuth application `client_id` and the password is its `client_secret`. Invalid tokens will return `404 NOT FOUND`.
-         */
-        checkToken: {
-            (params?: RequestParameters & AppsCheckTokenParams): Promise<OctokitResponse<AppsCheckTokenResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates an attachment under a content reference URL in the body or comment of an issue or pull request. Use the `id` of the content reference from the [`content_reference` event](https://developer.github.com/v3/activity/events/types/#contentreferenceevent) to create an attachment.
-         *
-         * The app must create a content attachment within six hours of the content reference URL being posted. See "[Using content attachments](https://developer.github.com/apps/using-content-attachments/)" for details about content attachments.
-         *
-         * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
-         *
-         * This example creates a content attachment for the domain `https://errors.ai/`.
-         */
-        createContentAttachment: {
-            (params?: RequestParameters & AppsCreateContentAttachmentParams): Promise<OctokitResponse<AppsCreateContentAttachmentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Use this endpoint to complete the handshake necessary when implementing the [GitHub App Manifest flow](https://developer.github.com/apps/building-github-apps/creating-github-apps-from-a-manifest/). When you create a GitHub App with the manifest flow, you receive a temporary `code` used to retrieve the GitHub App's `id`, `pem` (private key), and `webhook_secret`.
-         */
-        createFromManifest: {
-            (params?: RequestParameters & AppsCreateFromManifestParams): Promise<OctokitResponse<AppsCreateFromManifestResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates an installation access token that enables a GitHub App to make authenticated API requests for the app's installation on an organization or individual account. Installation tokens expire one hour from the time you create them. Using an expired token produces a status code of `401 - Unauthorized`, and requires creating a new installation token. By default the installation token has access to all repositories that the installation can access. To restrict the access to specific repositories, you can provide the `repository_ids` when creating the token. When you omit `repository_ids`, the response does not contain the `repositories` key.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         *
-         * This example grants the token "Read and write" permission to `issues` and "Read" permission to `contents`, and restricts the token's access to the repository with an `id` of 1296269.
-         */
-        createInstallationToken: {
-            (params?: RequestParameters & AppsCreateInstallationTokenParams): Promise<OctokitResponse<AppsCreateInstallationTokenResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * OAuth application owners can revoke a grant for their OAuth application and a specific user. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. You must also provide a valid OAuth `access_token` as an input parameter and the grant for the token's owner will be deleted.
-         *
-         * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for the user. Once deleted, the application will have no access to the user's account and will no longer be listed on [the application authorizations settings screen within GitHub](https://github.com/settings/applications#authorized).
-         */
-        deleteAuthorization: {
-            (params?: RequestParameters & AppsDeleteAuthorizationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Uninstalls a GitHub App on a user, organization, or business account.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         */
-        deleteInstallation: {
-            (params?: RequestParameters & AppsDeleteInstallationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * OAuth application owners can revoke a single token for an OAuth application. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password.
-         */
-        deleteToken: {
-            (params?: RequestParameters & AppsDeleteTokenParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Enables an authenticated GitHub App to find the organization's installation information.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         * @deprecated octokit.apps.findOrgInstallation() has been renamed to octokit.apps.getOrgInstallation() (2019-04-10)
-         */
-        findOrgInstallation: {
-            (params?: RequestParameters & AppsFindOrgInstallationParams): Promise<OctokitResponse<AppsFindOrgInstallationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Enables an authenticated GitHub App to find the repository's installation information. The installation's account type will be either an organization or a user account, depending which account the repository belongs to.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         * @deprecated octokit.apps.findRepoInstallation() has been renamed to octokit.apps.getRepoInstallation() (2019-04-10)
-         */
-        findRepoInstallation: {
-            (params?: RequestParameters & AppsFindRepoInstallationParams): Promise<OctokitResponse<AppsFindRepoInstallationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Enables an authenticated GitHub App to find the user’s installation information.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         * @deprecated octokit.apps.findUserInstallation() has been renamed to octokit.apps.getUserInstallation() (2019-04-10)
-         */
-        findUserInstallation: {
-            (params?: RequestParameters & AppsFindUserInstallationParams): Promise<OctokitResponse<AppsFindUserInstallationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns the GitHub App associated with the authentication credentials used. To see how many app installations are associated with this GitHub App, see the `installations_count` in the response. For more details about your app's installations, see the "[List installations](https://developer.github.com/v3/apps/#list-installations)" endpoint.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         */
-        getAuthenticated: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<AppsGetAuthenticatedResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: The `:app_slug` is just the URL-friendly name of your GitHub App. You can find this on the settings page for your GitHub App (e.g., `https://github.com/settings/apps/:app_slug`).
-         *
-         * If the GitHub App you specify is public, you can access this endpoint without authenticating. If the GitHub App you specify is private, you must authenticate with a [personal access token](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
-         */
-        getBySlug: {
-            (params?: RequestParameters & AppsGetBySlugParams): Promise<OctokitResponse<AppsGetBySlugResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         */
-        getInstallation: {
-            (params?: RequestParameters & AppsGetInstallationParams): Promise<OctokitResponse<AppsGetInstallationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Enables an authenticated GitHub App to find the organization's installation information.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         */
-        getOrgInstallation: {
-            (params?: RequestParameters & AppsGetOrgInstallationParams): Promise<OctokitResponse<AppsGetOrgInstallationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Enables an authenticated GitHub App to find the repository's installation information. The installation's account type will be either an organization or a user account, depending which account the repository belongs to.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         */
-        getRepoInstallation: {
-            (params?: RequestParameters & AppsGetRepoInstallationParams): Promise<OctokitResponse<AppsGetRepoInstallationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Enables an authenticated GitHub App to find the user’s installation information.
-         *
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         */
-        getUserInstallation: {
-            (params?: RequestParameters & AppsGetUserInstallationParams): Promise<OctokitResponse<AppsGetUserInstallationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns any accounts associated with a plan, including free plans. For per-seat pricing, you see the list of accounts that have purchased the plan, including the number of seats purchased. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
-         *
-         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-         */
-        listAccountsUserOrOrgOnPlan: {
-            (params?: RequestParameters & AppsListAccountsUserOrOrgOnPlanParams): Promise<OctokitResponse<AppsListAccountsUserOrOrgOnPlanResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns any accounts associated with a plan, including free plans. For per-seat pricing, you see the list of accounts that have purchased the plan, including the number of seats purchased. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
-         *
-         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-         */
-        listAccountsUserOrOrgOnPlanStubbed: {
-            (params?: RequestParameters & AppsListAccountsUserOrOrgOnPlanStubbedParams): Promise<OctokitResponse<AppsListAccountsUserOrOrgOnPlanStubbedResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List repositories that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access for an installation.
-         *
-         * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
-         *
-         * You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint.
-         *
-         * The access the user has to each repository is included in the hash under the `permissions` key.
-         */
-        listInstallationReposForAuthenticatedUser: {
-            (params?: RequestParameters & AppsListInstallationReposForAuthenticatedUserParams): Promise<OctokitResponse<AppsListInstallationReposForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-         *
-         * The permissions the installation has are included under the `permissions` key.
-         */
-        listInstallations: {
-            (params?: RequestParameters & AppsListInstallationsParams): Promise<OctokitResponse<AppsListInstallationsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists installations of your GitHub App that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access.
-         *
-         * You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint.
-         *
-         * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
-         *
-         * You can find the permissions for the installation under the `permissions` key.
-         */
-        listInstallationsForAuthenticatedUser: {
-            (params?: RequestParameters & AppsListInstallationsForAuthenticatedUserParams): Promise<OctokitResponse<AppsListInstallationsForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns only active subscriptions. You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint. . OAuth Apps must authenticate using an [OAuth token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/).
-         */
-        listMarketplacePurchasesForAuthenticatedUser: {
-            (params?: RequestParameters & AppsListMarketplacePurchasesForAuthenticatedUserParams): Promise<OctokitResponse<AppsListMarketplacePurchasesForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns only active subscriptions. You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint. . OAuth Apps must authenticate using an [OAuth token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/).
-         */
-        listMarketplacePurchasesForAuthenticatedUserStubbed: {
-            (params?: RequestParameters & AppsListMarketplacePurchasesForAuthenticatedUserStubbedParams): Promise<OctokitResponse<AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-         */
-        listPlans: {
-            (params?: RequestParameters & AppsListPlansParams): Promise<OctokitResponse<AppsListPlansResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-         */
-        listPlansStubbed: {
-            (params?: RequestParameters & AppsListPlansStubbedParams): Promise<OctokitResponse<AppsListPlansStubbedResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List repositories that an installation can access.
-         *
-         * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
-         */
-        listRepos: {
-            (params?: RequestParameters & AppsListReposParams): Promise<OctokitResponse<AppsListReposResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Remove a single repository from an installation. The authenticated user must have admin access to the repository.
-         *
-         * You must use a personal access token (which you can create via the [command line](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization)) or [Basic Authentication](https://developer.github.com/v3/auth/#basic-authentication) to access this endpoint.
-         */
-        removeRepoFromInstallation: {
-            (params?: RequestParameters & AppsRemoveRepoFromInstallationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * OAuth applications can use this API method to reset a valid OAuth token without end-user involvement. Applications must save the "token" property in the response because changes take effect immediately. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-         * @deprecated octokit.apps.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization
-         */
-        resetAuthorization: {
-            (params?: RequestParameters & AppsResetAuthorizationParams): Promise<OctokitResponse<AppsResetAuthorizationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * OAuth applications can use this API method to reset a valid OAuth token without end-user involvement. Applications must save the "token" property in the response because changes take effect immediately. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-         */
-        resetToken: {
-            (params?: RequestParameters & AppsResetTokenParams): Promise<OctokitResponse<AppsResetTokenResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * OAuth application owners can revoke a single token for an OAuth application. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password.
-         * @deprecated octokit.apps.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application
-         */
-        revokeAuthorizationForApplication: {
-            (params?: RequestParameters & AppsRevokeAuthorizationForApplicationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * OAuth application owners can revoke a grant for their OAuth application and a specific user. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. You must also provide a valid token as `:access_token` and the grant for the token's owner will be deleted.
-         *
-         * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for the user. Once deleted, the application will have no access to the user's account and will no longer be listed on [the Applications settings page under "Authorized OAuth Apps" on GitHub](https://github.com/settings/applications#authorized).
-         * @deprecated octokit.apps.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application
-         */
-        revokeGrantForApplication: {
-            (params?: RequestParameters & AppsRevokeGrantForApplicationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Revokes the installation token you're using to authenticate as an installation and access this endpoint.
-         *
-         * Once an installation token is revoked, the token is invalidated and cannot be used. Other endpoints that require the revoked installation token must have a new installation token to work. You can create a new token using the "[Create a new installation token](https://developer.github.com/v3/apps/#create-a-new-installation-token)" endpoint.
-         *
-         * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
-         */
-        revokeInstallationToken: {
-            (params?: RequestParameters & EmptyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-    };
-    checks: {
-        /**
-         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-         *
-         * Creates a new check run for a specific commit in a repository. Your GitHub App must have the `checks:write` permission to create check runs.
-         */
-        create: {
-            (params?: RequestParameters & ChecksCreateParams): Promise<OctokitResponse<ChecksCreateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
-         *
-         * By default, check suites are automatically created when you create a [check run](https://developer.github.com/v3/checks/runs/). You only need to use this endpoint for manually creating check suites when you've disabled automatic creation using "[Set preferences for check suites on a repository](https://developer.github.com/v3/checks/suites/#set-preferences-for-check-suites-on-a-repository)". Your GitHub App must have the `checks:write` permission to create check suites.
-         */
-        createSuite: {
-            (params?: RequestParameters & ChecksCreateSuiteParams): Promise<OctokitResponse<ChecksCreateSuiteResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-         *
-         * Gets a single check run using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
-         */
-        get: {
-            (params?: RequestParameters & ChecksGetParams): Promise<OctokitResponse<ChecksGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
-         *
-         * Gets a single check suite using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check suites. OAuth Apps and authenticated users must have the `repo` scope to get check suites in a private repository.
-         */
-        getSuite: {
-            (params?: RequestParameters & ChecksGetSuiteParams): Promise<OctokitResponse<ChecksGetSuiteResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists annotations for a check run using the annotation `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get annotations for a check run. OAuth Apps and authenticated users must have the `repo` scope to get annotations for a check run in a private repository.
-         */
-        listAnnotations: {
-            (params?: RequestParameters & ChecksListAnnotationsParams): Promise<OctokitResponse<ChecksListAnnotationsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-         *
-         * Lists check runs for a commit ref. The `ref` can be a SHA, branch name, or a tag name. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
-         */
-        listForRef: {
-            (params?: RequestParameters & ChecksListForRefParams): Promise<OctokitResponse<ChecksListForRefResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-         *
-         * Lists check runs for a check suite using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
-         */
-        listForSuite: {
-            (params?: RequestParameters & ChecksListForSuiteParams): Promise<OctokitResponse<ChecksListForSuiteResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
-         *
-         * Lists check suites for a commit `ref`. The `ref` can be a SHA, branch name, or a tag name. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to list check suites. OAuth Apps and authenticated users must have the `repo` scope to get check suites in a private repository.
-         */
-        listSuitesForRef: {
-            (params?: RequestParameters & ChecksListSuitesForRefParams): Promise<OctokitResponse<ChecksListSuitesForRefResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Triggers GitHub to rerequest an existing check suite, without pushing new code to a repository. This endpoint will trigger the [`check_suite` webhook](https://developer.github.com/v3/activity/events/types/#checksuiteevent) event with the action `rerequested`. When a check suite is `rerequested`, its `status` is reset to `queued` and the `conclusion` is cleared.
-         *
-         * To rerequest a check suite, your GitHub App must have the `checks:read` permission on a private repository or pull access to a public repository.
-         */
-        rerequestSuite: {
-            (params?: RequestParameters & ChecksRerequestSuiteParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Changes the default automatic flow when creating check suites. By default, the CheckSuiteEvent is automatically created each time code is pushed to a repository. When you disable the automatic creation of check suites, you can manually [Create a check suite](https://developer.github.com/v3/checks/suites/#create-a-check-suite). You must have admin permissions in the repository to set preferences for check suites.
-         */
-        setSuitesPreferences: {
-            (params?: RequestParameters & ChecksSetSuitesPreferencesParams): Promise<OctokitResponse<ChecksSetSuitesPreferencesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-         *
-         * Updates a check run for a specific commit in a repository. Your GitHub App must have the `checks:write` permission to edit check runs.
-         */
-        update: {
-            (params?: RequestParameters & ChecksUpdateParams): Promise<OctokitResponse<ChecksUpdateResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    codesOfConduct: {
-        getConductCode: {
-            (params?: RequestParameters & CodesOfConductGetConductCodeParams): Promise<OctokitResponse<CodesOfConductGetConductCodeResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This method returns the contents of the repository's code of conduct file, if one is detected.
-         */
-        getForRepo: {
-            (params?: RequestParameters & CodesOfConductGetForRepoParams): Promise<OctokitResponse<CodesOfConductGetForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listConductCodes: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<CodesOfConductListConductCodesResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    emojis: {
-        /**
-         * Lists all the emojis available to use on GitHub.
-         */
-        get: {
-            (params?: RequestParameters & EmptyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-    };
-    gists: {
-        checkIsStarred: {
-            (params?: RequestParameters & GistsCheckIsStarredParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Allows you to add a new gist with one or more files.
-         *
-         * **Note:** Don't name your files "gistfile" with a numerical suffix. This is the format of the automatic naming scheme that Gist uses internally.
-         */
-        create: {
-            (params?: RequestParameters & GistsCreateParams): Promise<OctokitResponse<GistsCreateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        createComment: {
-            (params?: RequestParameters & GistsCreateCommentParams): Promise<OctokitResponse<GistsCreateCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        delete: {
-            (params?: RequestParameters & GistsDeleteParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deleteComment: {
-            (params?: RequestParameters & GistsDeleteCommentParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: This was previously `/gists/:gist_id/fork`.
-         */
-        fork: {
-            (params?: RequestParameters & GistsForkParams): Promise<OctokitResponse<GistsForkResponse>>;
-            endpoint: EndpointInterface;
-        };
-        get: {
-            (params?: RequestParameters & GistsGetParams): Promise<OctokitResponse<GistsGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getComment: {
-            (params?: RequestParameters & GistsGetCommentParams): Promise<OctokitResponse<GistsGetCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getRevision: {
-            (params?: RequestParameters & GistsGetRevisionParams): Promise<OctokitResponse<GistsGetRevisionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        list: {
-            (params?: RequestParameters & GistsListParams): Promise<OctokitResponse<GistsListResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listComments: {
-            (params?: RequestParameters & GistsListCommentsParams): Promise<OctokitResponse<GistsListCommentsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listCommits: {
-            (params?: RequestParameters & GistsListCommitsParams): Promise<OctokitResponse<GistsListCommitsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listForks: {
-            (params?: RequestParameters & GistsListForksParams): Promise<OctokitResponse<GistsListForksResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all public gists sorted by most recently updated to least recently updated.
-         *
-         * Note: With [pagination](https://developer.github.com/v3/#pagination), you can fetch up to 3000 gists. For example, you can fetch 100 pages with 30 gists per page or 30 pages with 100 gists per page.
-         */
-        listPublic: {
-            (params?: RequestParameters & GistsListPublicParams): Promise<OctokitResponse<GistsListPublicResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listPublicForUser: {
-            (params?: RequestParameters & GistsListPublicForUserParams): Promise<OctokitResponse<GistsListPublicForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the authenticated user's starred gists:
-         */
-        listStarred: {
-            (params?: RequestParameters & GistsListStarredParams): Promise<OctokitResponse<GistsListStarredResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         */
-        star: {
-            (params?: RequestParameters & GistsStarParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        unstar: {
-            (params?: RequestParameters & GistsUnstarParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Allows you to update or delete a gist file and rename gist files. Files from the previous version of the gist that aren't explicitly changed during an edit are unchanged.
-         */
-        update: {
-            (params?: RequestParameters & GistsUpdateParams): Promise<OctokitResponse<GistsUpdateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateComment: {
-            (params?: RequestParameters & GistsUpdateCommentParams): Promise<OctokitResponse<GistsUpdateCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    git: {
-        createBlob: {
-            (params?: RequestParameters & GitCreateBlobParams): Promise<OctokitResponse<GitCreateBlobResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new Git [commit object](https://git-scm.com/book/en/v1/Git-Internals-Git-Objects#Commit-Objects).
-         *
-         * In this example, the payload of the signature would be:
-         *
-         *
-         *
-         * **Signature verification object**
-         *
-         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-         *
-         * These are the possible values for `reason` in the `verification` object:
-         *
-         * | Value                    | Description                                                                                                                       |
-         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-         * | `unsigned`               | The object does not include a signature.                                                                                          |
-         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-         */
-        createCommit: {
-            (params?: RequestParameters & GitCreateCommitParams): Promise<OctokitResponse<GitCreateCommitResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a reference for your repository. You are unable to create new references for empty repositories, even if the commit SHA-1 hash used exists. Empty repositories are repositories without branches.
-         */
-        createRef: {
-            (params?: RequestParameters & GitCreateRefParams): Promise<OctokitResponse<GitCreateRefResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Note that creating a tag object does not create the reference that makes a tag in Git. If you want to create an annotated tag in Git, you have to do this call to create the tag object, and then [create](https://developer.github.com/v3/git/refs/#create-a-reference) the `refs/tags/[tag]` reference. If you want to create a lightweight tag, you only have to [create](https://developer.github.com/v3/git/refs/#create-a-reference) the tag reference - this call would be unnecessary.
-         *
-         * **Signature verification object**
-         *
-         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-         *
-         * These are the possible values for `reason` in the `verification` object:
-         *
-         * | Value                    | Description                                                                                                                       |
-         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-         * | `unsigned`               | The object does not include a signature.                                                                                          |
-         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-         */
-        createTag: {
-            (params?: RequestParameters & GitCreateTagParams): Promise<OctokitResponse<GitCreateTagResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The tree creation API accepts nested entries. If you specify both a tree and a nested path modifying that tree, this endpoint will overwrite the contents of the tree with the new path contents, and create a new tree structure.
-         *
-         * If you use this endpoint to add, delete, or modify the file contents in a tree, you will need to commit the tree and then update a branch to point to the commit. For more information see "[Create a commit](https://developer.github.com/v3/git/commits/#create-a-commit)" and "[Update a reference](https://developer.github.com/v3/git/refs/#update-a-reference)."
-         */
-        createTree: {
-            (params?: RequestParameters & GitCreateTreeParams): Promise<OctokitResponse<GitCreateTreeResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * ```
-         * DELETE /repos/octocat/Hello-World/git/refs/heads/feature-a
-         * ```
-         *
-         * ```
-         * DELETE /repos/octocat/Hello-World/git/refs/tags/v1.0
-         * ```
-         */
-        deleteRef: {
-            (params?: RequestParameters & GitDeleteRefParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The `content` in the response will always be Base64 encoded.
-         *
-         * _Note_: This API supports blobs up to 100 megabytes in size.
-         */
-        getBlob: {
-            (params?: RequestParameters & GitGetBlobParams): Promise<OctokitResponse<GitGetBlobResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a Git [commit object](https://git-scm.com/book/en/v1/Git-Internals-Git-Objects#Commit-Objects).
-         *
-         * **Signature verification object**
-         *
-         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-         *
-         * These are the possible values for `reason` in the `verification` object:
-         *
-         * | Value                    | Description                                                                                                                       |
-         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-         * | `unsigned`               | The object does not include a signature.                                                                                          |
-         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-         */
-        getCommit: {
-            (params?: RequestParameters & GitGetCommitParams): Promise<OctokitResponse<GitGetCommitResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns a single reference from your Git database. The `:ref` in the URL must be formatted as `heads/<branch name>` for branches and `tags/<tag name>` for tags. If the `:ref` doesn't match an existing ref, a `404` is returned.
-         *
-         * **Note:** You need to explicitly [request a pull request](https://developer.github.com/v3/pulls/#get-a-single-pull-request) to trigger a test merge commit, which checks the mergeability of pull requests. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
-         *
-         * To get the reference for a branch named `skunkworkz/featureA`, the endpoint route is:
-         */
-        getRef: {
-            (params?: RequestParameters & GitGetRefParams): Promise<OctokitResponse<GitGetRefResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Signature verification object**
-         *
-         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-         *
-         * These are the possible values for `reason` in the `verification` object:
-         *
-         * | Value                    | Description                                                                                                                       |
-         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-         * | `unsigned`               | The object does not include a signature.                                                                                          |
-         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-         */
-        getTag: {
-            (params?: RequestParameters & GitGetTagParams): Promise<OctokitResponse<GitGetTagResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns a single tree using the SHA1 value for that tree.
-         *
-         * If `truncated` is `true` in the response then the number of items in the `tree` array exceeded our maximum limit. If you need to fetch more items, you can clone the repository and iterate over the Git data locally.
-         */
-        getTree: {
-            (params?: RequestParameters & GitGetTreeParams): Promise<OctokitResponse<GitGetTreeResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns an array of references from your Git database that match the supplied name. The `:ref` in the URL must be formatted as `heads/<branch name>` for branches and `tags/<tag name>` for tags. If the `:ref` doesn't exist in the repository, but existing refs start with `:ref`, they will be returned as an array.
-         *
-         * When you use this endpoint without providing a `:ref`, it will return an array of all the references from your Git database, including notes and stashes if they exist on the server. Anything in the namespace is returned, not just `heads` and `tags`.
-         *
-         * **Note:** You need to explicitly [request a pull request](https://developer.github.com/v3/pulls/#get-a-single-pull-request) to trigger a test merge commit, which checks the mergeability of pull requests. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
-         *
-         * If you request matching references for a branch named `feature` but the branch `feature` doesn't exist, the response can still include other matching head refs that start with the word `feature`, such as `featureA` and `featureB`.
-         */
-        listMatchingRefs: {
-            (params?: RequestParameters & GitListMatchingRefsParams): Promise<OctokitResponse<GitListMatchingRefsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns an array of all the references from your Git database, including notes and stashes if they exist on the server. Anything in the namespace is returned, not just `heads` and `tags`. If there are no references to list, a `404` is returned.
-         */
-        listRefs: {
-            (params?: RequestParameters & GitListRefsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        updateRef: {
-            (params?: RequestParameters & GitUpdateRefParams): Promise<OctokitResponse<GitUpdateRefResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    gitignore: {
-        /**
-         * The API also allows fetching the source of a single template.
-         *
-         * Use the raw [media type](https://developer.github.com/v3/media/) to get the raw contents.
-         */
-        getTemplate: {
-            (params?: RequestParameters & GitignoreGetTemplateParams): Promise<OctokitResponse<GitignoreGetTemplateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all templates available to pass as an option when [creating a repository](https://developer.github.com/v3/repos/#create).
-         */
-        listTemplates: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<GitignoreListTemplatesResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    interactions: {
-        /**
-         * Temporarily restricts interactions to certain GitHub users in any public repository in the given organization. You must be an organization owner to set these restrictions.
-         */
-        addOrUpdateRestrictionsForOrg: {
-            (params?: RequestParameters & InteractionsAddOrUpdateRestrictionsForOrgParams): Promise<OctokitResponse<InteractionsAddOrUpdateRestrictionsForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Temporarily restricts interactions to certain GitHub users within the given repository. You must have owner or admin access to set restrictions.
-         */
-        addOrUpdateRestrictionsForRepo: {
-            (params?: RequestParameters & InteractionsAddOrUpdateRestrictionsForRepoParams): Promise<OctokitResponse<InteractionsAddOrUpdateRestrictionsForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Shows which group of GitHub users can interact with this organization and when the restriction expires. If there are no restrictions, you will see an empty response.
-         */
-        getRestrictionsForOrg: {
-            (params?: RequestParameters & InteractionsGetRestrictionsForOrgParams): Promise<OctokitResponse<InteractionsGetRestrictionsForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Shows which group of GitHub users can interact with this repository and when the restriction expires. If there are no restrictions, you will see an empty response.
-         */
-        getRestrictionsForRepo: {
-            (params?: RequestParameters & InteractionsGetRestrictionsForRepoParams): Promise<OctokitResponse<InteractionsGetRestrictionsForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removes all interaction restrictions from public repositories in the given organization. You must be an organization owner to remove restrictions.
-         */
-        removeRestrictionsForOrg: {
-            (params?: RequestParameters & InteractionsRemoveRestrictionsForOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removes all interaction restrictions from the given repository. You must have owner or admin access to remove restrictions.
-         */
-        removeRestrictionsForRepo: {
-            (params?: RequestParameters & InteractionsRemoveRestrictionsForRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-    };
-    issues: {
-        /**
-         * Adds up to 10 assignees to an issue. Users already assigned to an issue are not replaced.
-         *
-         * This example adds two assignees to the existing `octocat` assignee.
-         */
-        addAssignees: {
-            (params?: RequestParameters & IssuesAddAssigneesParamsDeprecatedNumber): Promise<OctokitResponse<IssuesAddAssigneesResponse>>;
-            (params?: RequestParameters & IssuesAddAssigneesParams): Promise<OctokitResponse<IssuesAddAssigneesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        addLabels: {
-            (params?: RequestParameters & IssuesAddLabelsParamsDeprecatedNumber): Promise<OctokitResponse<IssuesAddLabelsResponse>>;
-            (params?: RequestParameters & IssuesAddLabelsParams): Promise<OctokitResponse<IssuesAddLabelsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Checks if a user has permission to be assigned to an issue in this repository.
-         *
-         * If the `assignee` can be assigned to issues in the repository, a `204` header with no content is returned.
-         *
-         * Otherwise a `404` status code is returned.
-         */
-        checkAssignee: {
-            (params?: RequestParameters & IssuesCheckAssigneeParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Any user with pull access to a repository can create an issue. If [issues are disabled in the repository](https://help.github.com/articles/disabling-issues/), the API returns a `410 Gone` status.
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        create: {
-            (params?: RequestParameters & IssuesCreateParamsDeprecatedAssignee): Promise<OctokitResponse<IssuesCreateResponse>>;
-            (params?: RequestParameters & IssuesCreateParams): Promise<OctokitResponse<IssuesCreateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        createComment: {
-            (params?: RequestParameters & IssuesCreateCommentParamsDeprecatedNumber): Promise<OctokitResponse<IssuesCreateCommentResponse>>;
-            (params?: RequestParameters & IssuesCreateCommentParams): Promise<OctokitResponse<IssuesCreateCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        createLabel: {
-            (params?: RequestParameters & IssuesCreateLabelParams): Promise<OctokitResponse<IssuesCreateLabelResponse>>;
-            endpoint: EndpointInterface;
-        };
-        createMilestone: {
-            (params?: RequestParameters & IssuesCreateMilestoneParams): Promise<OctokitResponse<IssuesCreateMilestoneResponse>>;
-            endpoint: EndpointInterface;
-        };
-        deleteComment: {
-            (params?: RequestParameters & IssuesDeleteCommentParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deleteLabel: {
-            (params?: RequestParameters & IssuesDeleteLabelParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deleteMilestone: {
-            (params?: RequestParameters & IssuesDeleteMilestoneParamsDeprecatedNumber): Promise<AnyResponse>;
-            (params?: RequestParameters & IssuesDeleteMilestoneParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The API returns a [`301 Moved Permanently` status](https://developer.github.com/v3/#http-redirects) if the issue was [transferred](https://help.github.com/articles/transferring-an-issue-to-another-repository/) to another repository. If the issue was transferred to or deleted from a repository where the authenticated user lacks read access, the API returns a `404 Not Found` status. If the issue was deleted from a repository where the authenticated user has read access, the API returns a `410 Gone` status. To receive webhook events for transferred and deleted issues, subscribe to the [`issues`](https://developer.github.com/v3/activity/events/types/#issuesevent) webhook.
-         *
-         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-         *
-         * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-         */
-        get: {
-            (params?: RequestParameters & IssuesGetParamsDeprecatedNumber): Promise<OctokitResponse<IssuesGetResponse>>;
-            (params?: RequestParameters & IssuesGetParams): Promise<OctokitResponse<IssuesGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getComment: {
-            (params?: RequestParameters & IssuesGetCommentParams): Promise<OctokitResponse<IssuesGetCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getEvent: {
-            (params?: RequestParameters & IssuesGetEventParams): Promise<OctokitResponse<IssuesGetEventResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getLabel: {
-            (params?: RequestParameters & IssuesGetLabelParams): Promise<OctokitResponse<IssuesGetLabelResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getMilestone: {
-            (params?: RequestParameters & IssuesGetMilestoneParamsDeprecatedNumber): Promise<OctokitResponse<IssuesGetMilestoneResponse>>;
-            (params?: RequestParameters & IssuesGetMilestoneParams): Promise<OctokitResponse<IssuesGetMilestoneResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-         *
-         * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-         */
-        list: {
-            (params?: RequestParameters & IssuesListParams): Promise<OctokitResponse<IssuesListResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the [available assignees](https://help.github.com/articles/assigning-issues-and-pull-requests-to-other-github-users/) for issues in a repository.
-         */
-        listAssignees: {
-            (params?: RequestParameters & IssuesListAssigneesParams): Promise<OctokitResponse<IssuesListAssigneesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Issue Comments are ordered by ascending ID.
-         */
-        listComments: {
-            (params?: RequestParameters & IssuesListCommentsParamsDeprecatedNumber): Promise<OctokitResponse<IssuesListCommentsResponse>>;
-            (params?: RequestParameters & IssuesListCommentsParams): Promise<OctokitResponse<IssuesListCommentsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * By default, Issue Comments are ordered by ascending ID.
-         */
-        listCommentsForRepo: {
-            (params?: RequestParameters & IssuesListCommentsForRepoParams): Promise<OctokitResponse<IssuesListCommentsForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listEvents: {
-            (params?: RequestParameters & IssuesListEventsParamsDeprecatedNumber): Promise<OctokitResponse<IssuesListEventsResponse>>;
-            (params?: RequestParameters & IssuesListEventsParams): Promise<OctokitResponse<IssuesListEventsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listEventsForRepo: {
-            (params?: RequestParameters & IssuesListEventsForRepoParams): Promise<OctokitResponse<IssuesListEventsForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listEventsForTimeline: {
-            (params?: RequestParameters & IssuesListEventsForTimelineParamsDeprecatedNumber): Promise<OctokitResponse<IssuesListEventsForTimelineResponse>>;
-            (params?: RequestParameters & IssuesListEventsForTimelineParams): Promise<OctokitResponse<IssuesListEventsForTimelineResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-         *
-         * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-         */
-        listForAuthenticatedUser: {
-            (params?: RequestParameters & IssuesListForAuthenticatedUserParams): Promise<OctokitResponse<IssuesListForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-         *
-         * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-         */
-        listForOrg: {
-            (params?: RequestParameters & IssuesListForOrgParams): Promise<OctokitResponse<IssuesListForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-         *
-         * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-         */
-        listForRepo: {
-            (params?: RequestParameters & IssuesListForRepoParams): Promise<OctokitResponse<IssuesListForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listLabelsForMilestone: {
-            (params?: RequestParameters & IssuesListLabelsForMilestoneParamsDeprecatedNumber): Promise<OctokitResponse<IssuesListLabelsForMilestoneResponse>>;
-            (params?: RequestParameters & IssuesListLabelsForMilestoneParams): Promise<OctokitResponse<IssuesListLabelsForMilestoneResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listLabelsForRepo: {
-            (params?: RequestParameters & IssuesListLabelsForRepoParams): Promise<OctokitResponse<IssuesListLabelsForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listLabelsOnIssue: {
-            (params?: RequestParameters & IssuesListLabelsOnIssueParamsDeprecatedNumber): Promise<OctokitResponse<IssuesListLabelsOnIssueResponse>>;
-            (params?: RequestParameters & IssuesListLabelsOnIssueParams): Promise<OctokitResponse<IssuesListLabelsOnIssueResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listMilestonesForRepo: {
-            (params?: RequestParameters & IssuesListMilestonesForRepoParams): Promise<OctokitResponse<IssuesListMilestonesForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with push access can lock an issue or pull request's conversation.
-         *
-         * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         */
-        lock: {
-            (params?: RequestParameters & IssuesLockParamsDeprecatedNumber): Promise<AnyResponse>;
-            (params?: RequestParameters & IssuesLockParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removes one or more assignees from an issue.
-         *
-         * This example removes two of three assignees, leaving the `octocat` assignee.
-         */
-        removeAssignees: {
-            (params?: RequestParameters & IssuesRemoveAssigneesParamsDeprecatedNumber): Promise<OctokitResponse<IssuesRemoveAssigneesResponse>>;
-            (params?: RequestParameters & IssuesRemoveAssigneesParams): Promise<OctokitResponse<IssuesRemoveAssigneesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removes the specified label from the issue, and returns the remaining labels on the issue. This endpoint returns a `404 Not Found` status if the label does not exist.
-         */
-        removeLabel: {
-            (params?: RequestParameters & IssuesRemoveLabelParamsDeprecatedNumber): Promise<OctokitResponse<IssuesRemoveLabelResponse>>;
-            (params?: RequestParameters & IssuesRemoveLabelParams): Promise<OctokitResponse<IssuesRemoveLabelResponse>>;
-            endpoint: EndpointInterface;
-        };
-        removeLabels: {
-            (params?: RequestParameters & IssuesRemoveLabelsParamsDeprecatedNumber): Promise<AnyResponse>;
-            (params?: RequestParameters & IssuesRemoveLabelsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        replaceLabels: {
-            (params?: RequestParameters & IssuesReplaceLabelsParamsDeprecatedNumber): Promise<OctokitResponse<IssuesReplaceLabelsResponse>>;
-            (params?: RequestParameters & IssuesReplaceLabelsParams): Promise<OctokitResponse<IssuesReplaceLabelsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with push access can unlock an issue's conversation.
-         */
-        unlock: {
-            (params?: RequestParameters & IssuesUnlockParamsDeprecatedNumber): Promise<AnyResponse>;
-            (params?: RequestParameters & IssuesUnlockParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Issue owners and users with push access can edit an issue.
-         */
-        update: {
-            (params?: RequestParameters & IssuesUpdateParamsDeprecatedNumber): Promise<OctokitResponse<IssuesUpdateResponse>>;
-            (params?: RequestParameters & IssuesUpdateParamsDeprecatedAssignee): Promise<OctokitResponse<IssuesUpdateResponse>>;
-            (params?: RequestParameters & IssuesUpdateParams): Promise<OctokitResponse<IssuesUpdateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateComment: {
-            (params?: RequestParameters & IssuesUpdateCommentParams): Promise<OctokitResponse<IssuesUpdateCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateLabel: {
-            (params?: RequestParameters & IssuesUpdateLabelParams): Promise<OctokitResponse<IssuesUpdateLabelResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateMilestone: {
-            (params?: RequestParameters & IssuesUpdateMilestoneParamsDeprecatedNumber): Promise<OctokitResponse<IssuesUpdateMilestoneResponse>>;
-            (params?: RequestParameters & IssuesUpdateMilestoneParams): Promise<OctokitResponse<IssuesUpdateMilestoneResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    licenses: {
-        get: {
-            (params?: RequestParameters & LicensesGetParams): Promise<OctokitResponse<LicensesGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This method returns the contents of the repository's license file, if one is detected.
-         *
-         * Similar to [the repository contents API](https://developer.github.com/v3/repos/contents/#get-contents), this method also supports [custom media types](https://developer.github.com/v3/repos/contents/#custom-media-types) for retrieving the raw license content or rendered license HTML.
-         */
-        getForRepo: {
-            (params?: RequestParameters & LicensesGetForRepoParams): Promise<OctokitResponse<LicensesGetForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * @deprecated octokit.licenses.list() has been renamed to octokit.licenses.listCommonlyUsed() (2019-03-05)
-         */
-        list: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<LicensesListResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listCommonlyUsed: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<LicensesListCommonlyUsedResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    markdown: {
-        render: {
-            (params?: RequestParameters & MarkdownRenderParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You must send Markdown as plain text (using a `Content-Type` header of `text/plain` or `text/x-markdown`) to this endpoint, rather than using JSON format. In raw mode, [GitHub Flavored Markdown](https://github.github.com/gfm/) is not supported and Markdown will be rendered in plain format like a README.md file. Markdown content must be 400 KB or less.
-         */
-        renderRaw: {
-            (params?: RequestParameters & MarkdownRenderRawParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-    };
-    meta: {
-        /**
-         * This endpoint provides a list of GitHub's IP addresses. For more information, see "[About GitHub's IP addresses](https://help.github.com/articles/about-github-s-ip-addresses/)."
-         */
-        get: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<MetaGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    migrations: {
-        /**
-         * Stop an import for a repository.
-         */
-        cancelImport: {
-            (params?: RequestParameters & MigrationsCancelImportParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deletes a previous migration archive. Downloadable migration archives are automatically deleted after seven days. Migration metadata, which is returned in the [List user migrations](https://developer.github.com/v3/migrations/users/#list-user-migrations) and [Get the status of a user migration](https://developer.github.com/v3/migrations/users/#get-the-status-of-a-user-migration) endpoints, will continue to be available even after an archive is deleted.
-         */
-        deleteArchiveForAuthenticatedUser: {
-            (params?: RequestParameters & MigrationsDeleteArchiveForAuthenticatedUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deletes a previous migration archive. Migration archives are automatically deleted after seven days.
-         */
-        deleteArchiveForOrg: {
-            (params?: RequestParameters & MigrationsDeleteArchiveForOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Fetches the URL to a migration archive.
-         */
-        downloadArchiveForOrg: {
-            (params?: RequestParameters & MigrationsDownloadArchiveForOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Fetches the URL to download the migration archive as a `tar.gz` file. Depending on the resources your repository uses, the migration archive can contain JSON files with data for these objects:
-         *
-         * *   attachments
-         * *   bases
-         * *   commit\_comments
-         * *   issue\_comments
-         * *   issue\_events
-         * *   issues
-         * *   milestones
-         * *   organizations
-         * *   projects
-         * *   protected\_branches
-         * *   pull\_request\_reviews
-         * *   pull\_requests
-         * *   releases
-         * *   repositories
-         * *   review\_comments
-         * *   schema
-         * *   users
-         *
-         * The archive will also contain an `attachments` directory that includes all attachment files uploaded to GitHub.com and a `repositories` directory that contains the repository's Git data.
-         */
-        getArchiveForAuthenticatedUser: {
-            (params?: RequestParameters & MigrationsGetArchiveForAuthenticatedUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Fetches the URL to a migration archive.
-         *
-         *
-         * @deprecated octokit.migrations.getArchiveForOrg() has been renamed to octokit.migrations.downloadArchiveForOrg() (2020-01-27)
-         */
-        getArchiveForOrg: {
-            (params?: RequestParameters & MigrationsGetArchiveForOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Each type of source control system represents authors in a different way. For example, a Git commit author has a display name and an email address, but a Subversion commit author just has a username. The GitHub Importer will make the author information valid, but the author might not be correct. For example, it will change the bare Subversion username `hubot` into something like `hubot <hubot@12341234-abab-fefe-8787-fedcba987654>`.
-         *
-         * This API method and the "Map a commit author" method allow you to provide correct Git author information.
-         */
-        getCommitAuthors: {
-            (params?: RequestParameters & MigrationsGetCommitAuthorsParams): Promise<OctokitResponse<MigrationsGetCommitAuthorsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * View the progress of an import.
-         *
-         * **Import status**
-         *
-         * This section includes details about the possible values of the `status` field of the Import Progress response.
-         *
-         * An import that does not have errors will progress through these steps:
-         *
-         * *   `detecting` - the "detection" step of the import is in progress because the request did not include a `vcs` parameter. The import is identifying the type of source control present at the URL.
-         * *   `importing` - the "raw" step of the import is in progress. This is where commit data is fetched from the original repository. The import progress response will include `commit_count` (the total number of raw commits that will be imported) and `percent` (0 - 100, the current progress through the import).
-         * *   `mapping` - the "rewrite" step of the import is in progress. This is where SVN branches are converted to Git branches, and where author updates are applied. The import progress response does not include progress information.
-         * *   `pushing` - the "push" step of the import is in progress. This is where the importer updates the repository on GitHub. The import progress response will include `push_percent`, which is the percent value reported by `git push` when it is "Writing objects".
-         * *   `complete` - the import is complete, and the repository is ready on GitHub.
-         *
-         * If there are problems, you will see one of these in the `status` field:
-         *
-         * *   `auth_failed` - the import requires authentication in order to connect to the original repository. To update authentication for the import, please see the [Update Existing Import](https://developer.github.com/v3/migrations/source_imports/#update-existing-import) section.
-         * *   `error` - the import encountered an error. The import progress response will include the `failed_step` and an error message. Contact [GitHub Support](https://github.com/contact) or [GitHub Premium Support](https://premium.githubsupport.com) for more information.
-         * *   `detection_needs_auth` - the importer requires authentication for the originating repository to continue detection. To update authentication for the import, please see the [Update Existing Import](https://developer.github.com/v3/migrations/source_imports/#update-existing-import) section.
-         * *   `detection_found_nothing` - the importer didn't recognize any source control at the URL. To resolve, [Cancel the import](https://developer.github.com/v3/migrations/source_imports/#cancel-an-import) and [retry](https://developer.github.com/v3/migrations/source_imports/#start-an-import) with the correct URL.
-         * *   `detection_found_multiple` - the importer found several projects or repositories at the provided URL. When this is the case, the Import Progress response will also include a `project_choices` field with the possible project choices as values. To update project choice, please see the [Update Existing Import](https://developer.github.com/v3/migrations/source_imports/#update-existing-import) section.
-         *
-         * **The project_choices field**
-         *
-         * When multiple projects are found at the provided URL, the response hash will include a `project_choices` field, the value of which is an array of hashes each representing a project choice. The exact key/value pairs of the project hashes will differ depending on the version control type.
-         *
-         * **Git LFS related fields**
-         *
-         * This section includes details about Git LFS related fields that may be present in the Import Progress response.
-         *
-         * *   `use_lfs` - describes whether the import has been opted in or out of using Git LFS. The value can be `opt_in`, `opt_out`, or `undecided` if no action has been taken.
-         * *   `has_large_files` - the boolean value describing whether files larger than 100MB were found during the `importing` step.
-         * *   `large_files_size` - the total size in gigabytes of files larger than 100MB found in the originating repository.
-         * *   `large_files_count` - the total number of files larger than 100MB found in the originating repository. To see a list of these files, make a "Get Large Files" request.
-         */
-        getImportProgress: {
-            (params?: RequestParameters & MigrationsGetImportProgressParams): Promise<OctokitResponse<MigrationsGetImportProgressResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List files larger than 100MB found during the import
-         */
-        getLargeFiles: {
-            (params?: RequestParameters & MigrationsGetLargeFilesParams): Promise<OctokitResponse<MigrationsGetLargeFilesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Fetches a single user migration. The response includes the `state` of the migration, which can be one of the following values:
-         *
-         * *   `pending` - the migration hasn't started yet.
-         * *   `exporting` - the migration is in progress.
-         * *   `exported` - the migration finished successfully.
-         * *   `failed` - the migration failed.
-         *
-         * Once the migration has been `exported` you can [download the migration archive](https://developer.github.com/v3/migrations/users/#download-a-user-migration-archive).
-         */
-        getStatusForAuthenticatedUser: {
-            (params?: RequestParameters & MigrationsGetStatusForAuthenticatedUserParams): Promise<OctokitResponse<MigrationsGetStatusForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Fetches the status of a migration.
-         *
-         * The `state` of a migration can be one of the following values:
-         *
-         * *   `pending`, which means the migration hasn't started yet.
-         * *   `exporting`, which means the migration is in progress.
-         * *   `exported`, which means the migration finished successfully.
-         * *   `failed`, which means the migration failed.
-         */
-        getStatusForOrg: {
-            (params?: RequestParameters & MigrationsGetStatusForOrgParams): Promise<OctokitResponse<MigrationsGetStatusForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all migrations a user has started.
-         */
-        listForAuthenticatedUser: {
-            (params?: RequestParameters & MigrationsListForAuthenticatedUserParams): Promise<OctokitResponse<MigrationsListForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the most recent migrations.
-         */
-        listForOrg: {
-            (params?: RequestParameters & MigrationsListForOrgParams): Promise<OctokitResponse<MigrationsListForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all the repositories for this organization migration.
-         */
-        listReposForOrg: {
-            (params?: RequestParameters & MigrationsListReposForOrgParams): Promise<OctokitResponse<MigrationsListReposForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all the repositories for this user migration.
-         */
-        listReposForUser: {
-            (params?: RequestParameters & MigrationsListReposForUserParams): Promise<OctokitResponse<MigrationsListReposForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Update an author's identity for the import. Your application can continue updating authors any time before you push new commits to the repository.
-         */
-        mapCommitAuthor: {
-            (params?: RequestParameters & MigrationsMapCommitAuthorParams): Promise<OctokitResponse<MigrationsMapCommitAuthorResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You can import repositories from Subversion, Mercurial, and TFS that include files larger than 100MB. This ability is powered by [Git LFS](https://git-lfs.github.com). You can learn more about our LFS feature and working with large files [on our help site](https://help.github.com/articles/versioning-large-files/).
-         */
-        setLfsPreference: {
-            (params?: RequestParameters & MigrationsSetLfsPreferenceParams): Promise<OctokitResponse<MigrationsSetLfsPreferenceResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Initiates the generation of a user migration archive.
-         */
-        startForAuthenticatedUser: {
-            (params?: RequestParameters & MigrationsStartForAuthenticatedUserParams): Promise<OctokitResponse<MigrationsStartForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Initiates the generation of a migration archive.
-         */
-        startForOrg: {
-            (params?: RequestParameters & MigrationsStartForOrgParams): Promise<OctokitResponse<MigrationsStartForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Start a source import to a GitHub repository using GitHub Importer.
-         */
-        startImport: {
-            (params?: RequestParameters & MigrationsStartImportParams): Promise<OctokitResponse<MigrationsStartImportResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Unlocks a repository. You can lock repositories when you [start a user migration](https://developer.github.com/v3/migrations/users/#start-a-user-migration). Once the migration is complete you can unlock each repository to begin using it again or [delete the repository](https://developer.github.com/v3/repos/#delete-a-repository) if you no longer need the source data. Returns a status of `404 Not Found` if the repository is not locked.
-         */
-        unlockRepoForAuthenticatedUser: {
-            (params?: RequestParameters & MigrationsUnlockRepoForAuthenticatedUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Unlocks a repository that was locked for migration. You should unlock each migrated repository and [delete them](https://developer.github.com/v3/repos/#delete-a-repository) when the migration is complete and you no longer need the source data.
-         */
-        unlockRepoForOrg: {
-            (params?: RequestParameters & MigrationsUnlockRepoForOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * An import can be updated with credentials or a project choice by passing in the appropriate parameters in this API request. If no parameters are provided, the import will be restarted.
-         *
-         * Some servers (e.g. TFS servers) can have several projects at a single URL. In those cases the import progress will have the status `detection_found_multiple` and the Import Progress response will include a `project_choices` array. You can select the project to import by providing one of the objects in the `project_choices` array in the update request.
-         *
-         * The following example demonstrates the workflow for updating an import with "project1" as the project choice. Given a `project_choices` array like such:
-         *
-         * To restart an import, no parameters are provided in the update request.
-         */
-        updateImport: {
-            (params?: RequestParameters & MigrationsUpdateImportParams): Promise<OctokitResponse<MigrationsUpdateImportResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    oauthAuthorizations: {
-        /**
-         * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * OAuth applications can use a special API method for checking OAuth token validity without exceeding the normal rate limits for failed login attempts. Authentication works differently with this particular endpoint. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-         * @deprecated octokit.oauthAuthorizations.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization
-         */
-        checkAuthorization: {
-            (params?: RequestParameters & OauthAuthorizationsCheckAuthorizationParams): Promise<OctokitResponse<OauthAuthorizationsCheckAuthorizationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * **Warning:** Apps must use the [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow) to obtain OAuth tokens that work with GitHub SAML organizations. OAuth tokens created using the Authorizations API will be unable to access GitHub SAML organizations. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * Creates OAuth tokens using [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication). If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-         *
-         * To create tokens for a particular OAuth application using this endpoint, you must authenticate as the user you want to create an authorization for and provide the app's client ID and secret, found on your OAuth application's settings page. If your OAuth application intends to create multiple tokens for one user, use `fingerprint` to differentiate between them.
-         *
-         * You can also create tokens on GitHub from the [personal access tokens settings](https://github.com/settings/tokens) page. Read more about these tokens in [the GitHub Help documentation](https://help.github.com/articles/creating-an-access-token-for-command-line-use).
-         *
-         * Organizations that enforce SAML SSO require personal access tokens to be whitelisted. Read more about whitelisting tokens in [the GitHub Help documentation](https://help.github.com/articles/about-identity-and-access-management-with-saml-single-sign-on).
-         * @deprecated octokit.oauthAuthorizations.createAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization
-         */
-        createAuthorization: {
-            (params?: RequestParameters & OauthAuthorizationsCreateAuthorizationParams): Promise<OctokitResponse<OauthAuthorizationsCreateAuthorizationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         * @deprecated octokit.oauthAuthorizations.deleteAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization
-         */
-        deleteAuthorization: {
-            (params?: RequestParameters & OauthAuthorizationsDeleteAuthorizationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for your user. Once deleted, the application has no access to your account and is no longer listed on [the application authorizations settings screen within GitHub](https://github.com/settings/applications#authorized).
-         * @deprecated octokit.oauthAuthorizations.deleteGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-a-grant
-         */
-        deleteGrant: {
-            (params?: RequestParameters & OauthAuthorizationsDeleteGrantParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         * @deprecated octokit.oauthAuthorizations.getAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization
-         */
-        getAuthorization: {
-            (params?: RequestParameters & OauthAuthorizationsGetAuthorizationParams): Promise<OctokitResponse<OauthAuthorizationsGetAuthorizationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         * @deprecated octokit.oauthAuthorizations.getGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant
-         */
-        getGrant: {
-            (params?: RequestParameters & OauthAuthorizationsGetGrantParams): Promise<OctokitResponse<OauthAuthorizationsGetGrantResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * **Warning:** Apps must use the [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow) to obtain OAuth tokens that work with GitHub SAML organizations. OAuth tokens created using the Authorizations API will be unable to access GitHub SAML organizations. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * Creates a new authorization for the specified OAuth application, only if an authorization for that application doesn't already exist for the user. The URL includes the 20 character client ID for the OAuth app that is requesting the token. It returns the user's existing authorization for the application if one is present. Otherwise, it creates and returns a new one.
-         *
-         * If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-         *
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         * @deprecated octokit.oauthAuthorizations.getOrCreateAuthorizationForApp() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app
-         */
-        getOrCreateAuthorizationForApp: {
-            (params?: RequestParameters & OauthAuthorizationsGetOrCreateAuthorizationForAppParams): Promise<OctokitResponse<OauthAuthorizationsGetOrCreateAuthorizationForAppResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * **Warning:** Apps must use the [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow) to obtain OAuth tokens that work with GitHub SAML organizations. OAuth tokens created using the Authorizations API will be unable to access GitHub SAML organizations. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * This method will create a new authorization for the specified OAuth application, only if an authorization for that application and fingerprint do not already exist for the user. The URL includes the 20 character client ID for the OAuth app that is requesting the token. `fingerprint` is a unique string to distinguish an authorization from others created for the same client ID and user. It returns the user's existing authorization for the application if one is present. Otherwise, it creates and returns a new one.
-         *
-         * If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-         * @deprecated octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint
-         */
-        getOrCreateAuthorizationForAppAndFingerprint: {
-            (params?: RequestParameters & OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintParams): Promise<OctokitResponse<OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * **Warning:** Apps must use the [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow) to obtain OAuth tokens that work with GitHub SAML organizations. OAuth tokens created using the Authorizations API will be unable to access GitHub SAML organizations. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * This method will create a new authorization for the specified OAuth application, only if an authorization for that application and fingerprint do not already exist for the user. The URL includes the 20 character client ID for the OAuth app that is requesting the token. `fingerprint` is a unique string to distinguish an authorization from others created for the same client ID and user. It returns the user's existing authorization for the application if one is present. Otherwise, it creates and returns a new one.
-         *
-         * If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-         * @deprecated octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint
-         */
-        getOrCreateAuthorizationForAppFingerprint: {
-            (params?: RequestParameters & OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintParams): Promise<OctokitResponse<OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         * @deprecated octokit.oauthAuthorizations.listAuthorizations() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations
-         */
-        listAuthorizations: {
-            (params?: RequestParameters & OauthAuthorizationsListAuthorizationsParams): Promise<OctokitResponse<OauthAuthorizationsListAuthorizationsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * You can use this API to list the set of OAuth applications that have been granted access to your account. Unlike the [list your authorizations](https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations) API, this API does not manage individual tokens. This API will return one entry for each OAuth application that has been granted access to your account, regardless of the number of tokens an application has generated for your user. The list of OAuth applications returned matches what is shown on [the application authorizations settings screen within GitHub](https://github.com/settings/applications#authorized). The `scopes` returned are the union of scopes authorized for the application. For example, if an application has one token with `repo` scope and another token with `user` scope, the grant will return `["repo", "user"]`.
-         * @deprecated octokit.oauthAuthorizations.listGrants() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-grants
-         */
-        listGrants: {
-            (params?: RequestParameters & OauthAuthorizationsListGrantsParams): Promise<OctokitResponse<OauthAuthorizationsListGrantsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * OAuth applications can use this API method to reset a valid OAuth token without end-user involvement. Applications must save the "token" property in the response because changes take effect immediately. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-         * @deprecated octokit.oauthAuthorizations.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization
-         */
-        resetAuthorization: {
-            (params?: RequestParameters & OauthAuthorizationsResetAuthorizationParams): Promise<OctokitResponse<OauthAuthorizationsResetAuthorizationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * OAuth application owners can revoke a single token for an OAuth application. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password.
-         * @deprecated octokit.oauthAuthorizations.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application
-         */
-        revokeAuthorizationForApplication: {
-            (params?: RequestParameters & OauthAuthorizationsRevokeAuthorizationForApplicationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * OAuth application owners can revoke a grant for their OAuth application and a specific user. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. You must also provide a valid token as `:access_token` and the grant for the token's owner will be deleted.
-         *
-         * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for the user. Once deleted, the application will have no access to the user's account and will no longer be listed on [the Applications settings page under "Authorized OAuth Apps" on GitHub](https://github.com/settings/applications#authorized).
-         * @deprecated octokit.oauthAuthorizations.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application
-         */
-        revokeGrantForApplication: {
-            (params?: RequestParameters & OauthAuthorizationsRevokeGrantForApplicationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-         *
-         * If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-         *
-         * You can only send one of these scope keys at a time.
-         * @deprecated octokit.oauthAuthorizations.updateAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization
-         */
-        updateAuthorization: {
-            (params?: RequestParameters & OauthAuthorizationsUpdateAuthorizationParams): Promise<OctokitResponse<OauthAuthorizationsUpdateAuthorizationResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    orgs: {
-        /**
-         * Only authenticated organization owners can add a member to the organization or update the member's role.
-         *
-         * *   If the authenticated user is _adding_ a member to the organization, the invited user will receive an email inviting them to the organization. The user's [membership status](https://developer.github.com/v3/orgs/members/#get-organization-membership) will be `pending` until they accept the invitation.
-         *
-         * *   Authenticated users can _update_ a user's membership by passing the `role` parameter. If the authenticated user changes a member's role to `admin`, the affected user will receive an email notifying them that they've been made an organization owner. If the authenticated user changes an owner's role to `member`, no email will be sent.
-         *
-         * **Rate limits**
-         *
-         * To prevent abuse, the authenticated user is limited to 50 organization invitations per 24 hour period. If the organization is more than one month old or on a paid plan, the limit is 500 invitations per 24 hour period.
-         */
-        addOrUpdateMembership: {
-            (params?: RequestParameters & OrgsAddOrUpdateMembershipParams): Promise<OctokitResponse<OrgsAddOrUpdateMembershipResponse>>;
-            endpoint: EndpointInterface;
-        };
-        blockUser: {
-            (params?: RequestParameters & OrgsBlockUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * If the user is blocked:
-         *
-         * If the user is not blocked:
-         */
-        checkBlockedUser: {
-            (params?: RequestParameters & OrgsCheckBlockedUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Check if a user is, publicly or privately, a member of the organization.
-         */
-        checkMembership: {
-            (params?: RequestParameters & OrgsCheckMembershipParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        checkPublicMembership: {
-            (params?: RequestParameters & OrgsCheckPublicMembershipParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        concealMembership: {
-            (params?: RequestParameters & OrgsConcealMembershipParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * When an organization member is converted to an outside collaborator, they'll only have access to the repositories that their current team membership allows. The user will no longer be a member of the organization. For more information, see "[Converting an organization member to an outside collaborator](https://help.github.com/articles/converting-an-organization-member-to-an-outside-collaborator/)".
-         */
-        convertMemberToOutsideCollaborator: {
-            (params?: RequestParameters & OrgsConvertMemberToOutsideCollaboratorParams): Promise<OctokitResponse<OrgsConvertMemberToOutsideCollaboratorResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Here's how you can create a hook that posts payloads in JSON format:
-         */
-        createHook: {
-            (params?: RequestParameters & OrgsCreateHookParams): Promise<OctokitResponse<OrgsCreateHookResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Invite people to an organization by using their GitHub user ID or their email address. In order to create invitations in an organization, the authenticated user must be an organization owner.
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        createInvitation: {
-            (params?: RequestParameters & OrgsCreateInvitationParams): Promise<OctokitResponse<OrgsCreateInvitationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        deleteHook: {
-            (params?: RequestParameters & OrgsDeleteHookParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * To see many of the organization response values, you need to be an authenticated organization owner with the `admin:org` scope. When the value of `two_factor_requirement_enabled` is `true`, the organization requires all members, billing managers, and outside collaborators to enable [two-factor authentication](https://help.github.com/articles/securing-your-account-with-two-factor-authentication-2fa/).
-         *
-         * GitHub Apps with the `Organization plan` permission can use this endpoint to retrieve information about an organization's GitHub plan. See "[Authenticating with GitHub Apps](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/)" for details. For an example response, see "[Response with GitHub plan information](https://developer.github.com/v3/orgs/#response-with-github-plan-information)."
-         */
-        get: {
-            (params?: RequestParameters & OrgsGetParams): Promise<OctokitResponse<OrgsGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getHook: {
-            (params?: RequestParameters & OrgsGetHookParams): Promise<OctokitResponse<OrgsGetHookResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * In order to get a user's membership with an organization, the authenticated user must be an organization member.
-         */
-        getMembership: {
-            (params?: RequestParameters & OrgsGetMembershipParams): Promise<OctokitResponse<OrgsGetMembershipResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getMembershipForAuthenticatedUser: {
-            (params?: RequestParameters & OrgsGetMembershipForAuthenticatedUserParams): Promise<OctokitResponse<OrgsGetMembershipForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all organizations, in the order that they were created on GitHub.
-         *
-         * **Note:** Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of organizations.
-         */
-        list: {
-            (params?: RequestParameters & OrgsListParams): Promise<OctokitResponse<OrgsListResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the users blocked by an organization.
-         */
-        listBlockedUsers: {
-            (params?: RequestParameters & OrgsListBlockedUsersParams): Promise<OctokitResponse<OrgsListBlockedUsersResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List organizations for the authenticated user.
-         *
-         * **OAuth scope requirements**
-         *
-         * This only lists organizations that your authorization allows you to operate on in some way (e.g., you can list teams with `read:org` scope, you can publicize your organization membership with `user` scope, etc.). Therefore, this API requires at least `user` or `read:org` scope. OAuth requests with insufficient scope receive a `403 Forbidden` response.
-         */
-        listForAuthenticatedUser: {
-            (params?: RequestParameters & OrgsListForAuthenticatedUserParams): Promise<OctokitResponse<OrgsListForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List [public organization memberships](https://help.github.com/articles/publicizing-or-concealing-organization-membership) for the specified user.
-         *
-         * This method only lists _public_ memberships, regardless of authentication. If you need to fetch all of the organization memberships (public and private) for the authenticated user, use the [List your organizations](https://developer.github.com/v3/orgs/#list-your-organizations) API instead.
-         */
-        listForUser: {
-            (params?: RequestParameters & OrgsListForUserParams): Promise<OctokitResponse<OrgsListForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listHooks: {
-            (params?: RequestParameters & OrgsListHooksParams): Promise<OctokitResponse<OrgsListHooksResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all GitHub Apps in an organization. The installation count includes all GitHub Apps installed on repositories in the organization. You must be an organization owner with `admin:read` scope to use this endpoint.
-         */
-        listInstallations: {
-            (params?: RequestParameters & OrgsListInstallationsParams): Promise<OctokitResponse<OrgsListInstallationsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all teams associated with an invitation. In order to see invitations in an organization, the authenticated user must be an organization owner.
-         */
-        listInvitationTeams: {
-            (params?: RequestParameters & OrgsListInvitationTeamsParams): Promise<OctokitResponse<OrgsListInvitationTeamsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all users who are members of an organization. If the authenticated user is also a member of this organization then both concealed and public members will be returned.
-         */
-        listMembers: {
-            (params?: RequestParameters & OrgsListMembersParams): Promise<OctokitResponse<OrgsListMembersResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listMemberships: {
-            (params?: RequestParameters & OrgsListMembershipsParams): Promise<OctokitResponse<OrgsListMembershipsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all users who are outside collaborators of an organization.
-         */
-        listOutsideCollaborators: {
-            (params?: RequestParameters & OrgsListOutsideCollaboratorsParams): Promise<OctokitResponse<OrgsListOutsideCollaboratorsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
-         */
-        listPendingInvitations: {
-            (params?: RequestParameters & OrgsListPendingInvitationsParams): Promise<OctokitResponse<OrgsListPendingInvitationsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Members of an organization can choose to have their membership publicized or not.
-         */
-        listPublicMembers: {
-            (params?: RequestParameters & OrgsListPublicMembersParams): Promise<OctokitResponse<OrgsListPublicMembersResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This will trigger a [ping event](https://developer.github.com/webhooks/#ping-event) to be sent to the hook.
-         */
-        pingHook: {
-            (params?: RequestParameters & OrgsPingHookParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The user can publicize their own membership. (A user cannot publicize the membership for another user.)
-         *
-         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         */
-        publicizeMembership: {
-            (params?: RequestParameters & OrgsPublicizeMembershipParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removing a user from this list will remove them from all teams and they will no longer have any access to the organization's repositories.
-         */
-        removeMember: {
-            (params?: RequestParameters & OrgsRemoveMemberParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * In order to remove a user's membership with an organization, the authenticated user must be an organization owner.
-         *
-         * If the specified user is an active member of the organization, this will remove them from the organization. If the specified user has been invited to the organization, this will cancel their invitation. The specified user will receive an email notification in both cases.
-         */
-        removeMembership: {
-            (params?: RequestParameters & OrgsRemoveMembershipParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removing a user from this list will remove them from all the organization's repositories.
-         */
-        removeOutsideCollaborator: {
-            (params?: RequestParameters & OrgsRemoveOutsideCollaboratorParams): Promise<OctokitResponse<OrgsRemoveOutsideCollaboratorResponse>>;
-            endpoint: EndpointInterface;
-        };
-        unblockUser: {
-            (params?: RequestParameters & OrgsUnblockUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Parameter Deprecation Notice:** GitHub will replace and discontinue `members_allowed_repository_creation_type` in favor of more granular permissions. The new input parameters are `members_can_create_public_repositories`, `members_can_create_private_repositories` for all organizations and `members_can_create_internal_repositories` for organizations associated with an enterprise account using GitHub Enterprise Cloud. For more information, see the [blog post](https://developer.github.com/changes/2019-12-03-internal-visibility-changes).
-         *
-         * Enables an authenticated organization owner with the `admin:org` scope to update the organization's profile and member privileges.
-         */
-        update: {
-            (params?: RequestParameters & OrgsUpdateParamsDeprecatedMembersAllowedRepositoryCreationType): Promise<OctokitResponse<OrgsUpdateResponse>>;
-            (params?: RequestParameters & OrgsUpdateParams): Promise<OctokitResponse<OrgsUpdateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateHook: {
-            (params?: RequestParameters & OrgsUpdateHookParams): Promise<OctokitResponse<OrgsUpdateHookResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateMembership: {
-            (params?: RequestParameters & OrgsUpdateMembershipParams): Promise<OctokitResponse<OrgsUpdateMembershipResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    projects: {
-        /**
-         * Adds a collaborator to a an organization project and sets their permission level. You must be an organization owner or a project `admin` to add a collaborator.
-         */
-        addCollaborator: {
-            (params?: RequestParameters & ProjectsAddCollaboratorParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-         *
-         * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-         */
-        createCard: {
-            (params?: RequestParameters & ProjectsCreateCardParams): Promise<OctokitResponse<ProjectsCreateCardResponse>>;
-            endpoint: EndpointInterface;
-        };
-        createColumn: {
-            (params?: RequestParameters & ProjectsCreateColumnParams): Promise<OctokitResponse<ProjectsCreateColumnResponse>>;
-            endpoint: EndpointInterface;
-        };
-        createForAuthenticatedUser: {
-            (params?: RequestParameters & ProjectsCreateForAuthenticatedUserParams): Promise<OctokitResponse<ProjectsCreateForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates an organization project board. Returns a `404 Not Found` status if projects are disabled in the organization. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-         */
-        createForOrg: {
-            (params?: RequestParameters & ProjectsCreateForOrgParams): Promise<OctokitResponse<ProjectsCreateForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a repository project board. Returns a `404 Not Found` status if projects are disabled in the repository. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-         */
-        createForRepo: {
-            (params?: RequestParameters & ProjectsCreateForRepoParams): Promise<OctokitResponse<ProjectsCreateForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deletes a project board. Returns a `404 Not Found` status if projects are disabled.
-         */
-        delete: {
-            (params?: RequestParameters & ProjectsDeleteParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deleteCard: {
-            (params?: RequestParameters & ProjectsDeleteCardParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deleteColumn: {
-            (params?: RequestParameters & ProjectsDeleteColumnParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a project by its `id`. Returns a `404 Not Found` status if projects are disabled. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-         */
-        get: {
-            (params?: RequestParameters & ProjectsGetParams): Promise<OctokitResponse<ProjectsGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getCard: {
-            (params?: RequestParameters & ProjectsGetCardParams): Promise<OctokitResponse<ProjectsGetCardResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getColumn: {
-            (params?: RequestParameters & ProjectsGetColumnParams): Promise<OctokitResponse<ProjectsGetColumnResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listCards: {
-            (params?: RequestParameters & ProjectsListCardsParams): Promise<OctokitResponse<ProjectsListCardsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the collaborators for an organization project. For a project, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners. You must be an organization owner or a project `admin` to list collaborators.
-         */
-        listCollaborators: {
-            (params?: RequestParameters & ProjectsListCollaboratorsParams): Promise<OctokitResponse<ProjectsListCollaboratorsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listColumns: {
-            (params?: RequestParameters & ProjectsListColumnsParams): Promise<OctokitResponse<ProjectsListColumnsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the projects in an organization. Returns a `404 Not Found` status if projects are disabled in the organization. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-         *
-         * s
-         */
-        listForOrg: {
-            (params?: RequestParameters & ProjectsListForOrgParams): Promise<OctokitResponse<ProjectsListForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the projects in a repository. Returns a `404 Not Found` status if projects are disabled in the repository. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-         */
-        listForRepo: {
-            (params?: RequestParameters & ProjectsListForRepoParams): Promise<OctokitResponse<ProjectsListForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listForUser: {
-            (params?: RequestParameters & ProjectsListForUserParams): Promise<OctokitResponse<ProjectsListForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        moveCard: {
-            (params?: RequestParameters & ProjectsMoveCardParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        moveColumn: {
-            (params?: RequestParameters & ProjectsMoveColumnParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removes a collaborator from an organization project. You must be an organization owner or a project `admin` to remove a collaborator.
-         */
-        removeCollaborator: {
-            (params?: RequestParameters & ProjectsRemoveCollaboratorParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns the collaborator's permission level for an organization project. Possible values for the `permission` key: `admin`, `write`, `read`, `none`. You must be an organization owner or a project `admin` to review a user's permission level.
-         */
-        reviewUserPermissionLevel: {
-            (params?: RequestParameters & ProjectsReviewUserPermissionLevelParams): Promise<OctokitResponse<ProjectsReviewUserPermissionLevelResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Updates a project board's information. Returns a `404 Not Found` status if projects are disabled. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-         */
-        update: {
-            (params?: RequestParameters & ProjectsUpdateParams): Promise<OctokitResponse<ProjectsUpdateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateCard: {
-            (params?: RequestParameters & ProjectsUpdateCardParams): Promise<OctokitResponse<ProjectsUpdateCardResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateColumn: {
-            (params?: RequestParameters & ProjectsUpdateColumnParams): Promise<OctokitResponse<ProjectsUpdateColumnResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    pulls: {
-        checkIfMerged: {
-            (params?: RequestParameters & PullsCheckIfMergedParamsDeprecatedNumber): Promise<AnyResponse>;
-            (params?: RequestParameters & PullsCheckIfMergedParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Draft pull requests are available in public repositories with GitHub Free and GitHub Pro, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To open or update a pull request in a public repository, you must have write access to the head or the source branch. For organization-owned repositories, you must be a member of the organization that owns the repository to open or update a pull request.
-         *
-         * You can create a new pull request.
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        create: {
-            (params?: RequestParameters & PullsCreateParams): Promise<OctokitResponse<PullsCreateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-         *
-         * Creates a review comment in the pull request diff. To add a regular comment to a pull request timeline, see "[Comments](https://developer.github.com/v3/issues/comments/#create-a-comment)." We recommend creating a review comment using `line`, `side`, and optionally `start_line` and `start_side` if your comment applies to more than one line in the pull request diff.
-         *
-         * You can still create a review comment using the `position` parameter. When you use `position`, the `line`, `side`, `start_line`, and `start_side` parameters are not required. For more information, see [Multi-line comment summary](https://developer.github.com/v3/pulls/comments/#multi-line-comment-summary-3).
-         *
-         * **Note:** The position value equals the number of lines down from the first "@@" hunk header in the file you want to add a comment. The line just below the "@@" line is position 1, the next line is position 2, and so on. The position in the diff continues to increase through lines of whitespace and additional hunks until the beginning of a new file.
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         *
-         * **Multi-line comment summary**
-         *
-         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-         *
-         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-         *
-         * If you use the `comfort-fade` preview header, your response will show:
-         *
-         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-         *
-         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-         *
-         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-         */
-        createComment: {
-            (params?: RequestParameters & PullsCreateCommentParamsDeprecatedNumber): Promise<OctokitResponse<PullsCreateCommentResponse>>;
-            (params?: RequestParameters & PullsCreateCommentParamsDeprecatedInReplyTo): Promise<OctokitResponse<PullsCreateCommentResponse>>;
-            (params?: RequestParameters & PullsCreateCommentParams): Promise<OctokitResponse<PullsCreateCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-         *
-         * Creates a review comment in the pull request diff. To add a regular comment to a pull request timeline, see "[Comments](https://developer.github.com/v3/issues/comments/#create-a-comment)." We recommend creating a review comment using `line`, `side`, and optionally `start_line` and `start_side` if your comment applies to more than one line in the pull request diff.
-         *
-         * You can still create a review comment using the `position` parameter. When you use `position`, the `line`, `side`, `start_line`, and `start_side` parameters are not required. For more information, see [Multi-line comment summary](https://developer.github.com/v3/pulls/comments/#multi-line-comment-summary-3).
-         *
-         * **Note:** The position value equals the number of lines down from the first "@@" hunk header in the file you want to add a comment. The line just below the "@@" line is position 1, the next line is position 2, and so on. The position in the diff continues to increase through lines of whitespace and additional hunks until the beginning of a new file.
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         *
-         * **Multi-line comment summary**
-         *
-         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-         *
-         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-         *
-         * If you use the `comfort-fade` preview header, your response will show:
-         *
-         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-         *
-         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-         *
-         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-         * @deprecated octokit.pulls.createCommentReply() has been renamed to octokit.pulls.createComment() (2019-09-09)
-         */
-        createCommentReply: {
-            (params?: RequestParameters & PullsCreateCommentReplyParamsDeprecatedNumber): Promise<OctokitResponse<PullsCreateCommentReplyResponse>>;
-            (params?: RequestParameters & PullsCreateCommentReplyParamsDeprecatedInReplyTo): Promise<OctokitResponse<PullsCreateCommentReplyResponse>>;
-            (params?: RequestParameters & PullsCreateCommentReplyParams): Promise<OctokitResponse<PullsCreateCommentReplyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        createFromIssue: {
-            (params?: RequestParameters & PullsCreateFromIssueParams): Promise<OctokitResponse<PullsCreateFromIssueResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         *
-         * **Note:** To comment on a specific line in a file, you need to first determine the _position_ of that line in the diff. The GitHub REST API v3 offers the `application/vnd.github.v3.diff` [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests). To see a pull request diff, add this media type to the `Accept` header of a call to the [single pull request](https://developer.github.com/v3/pulls/#get-a-single-pull-request) endpoint.
-         *
-         * The `position` value equals the number of lines down from the first "@@" hunk header in the file you want to add a comment. The line just below the "@@" line is position 1, the next line is position 2, and so on. The position in the diff continues to increase through lines of whitespace and additional hunks until the beginning of a new file.
-         */
-        createReview: {
-            (params?: RequestParameters & PullsCreateReviewParamsDeprecatedNumber): Promise<OctokitResponse<PullsCreateReviewResponse>>;
-            (params?: RequestParameters & PullsCreateReviewParams): Promise<OctokitResponse<PullsCreateReviewResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a reply to a review comment for a pull request. For the `comment_id`, provide the ID of the review comment you are replying to. This must be the ID of a _top-level review comment_, not a reply to that comment. Replies to replies are not supported.
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        createReviewCommentReply: {
-            (params?: RequestParameters & PullsCreateReviewCommentReplyParams): Promise<OctokitResponse<PullsCreateReviewCommentReplyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        createReviewRequest: {
-            (params?: RequestParameters & PullsCreateReviewRequestParamsDeprecatedNumber): Promise<OctokitResponse<PullsCreateReviewRequestResponse>>;
-            (params?: RequestParameters & PullsCreateReviewRequestParams): Promise<OctokitResponse<PullsCreateReviewRequestResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deletes a review comment.
-         */
-        deleteComment: {
-            (params?: RequestParameters & PullsDeleteCommentParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deletePendingReview: {
-            (params?: RequestParameters & PullsDeletePendingReviewParamsDeprecatedNumber): Promise<OctokitResponse<PullsDeletePendingReviewResponse>>;
-            (params?: RequestParameters & PullsDeletePendingReviewParams): Promise<OctokitResponse<PullsDeletePendingReviewResponse>>;
-            endpoint: EndpointInterface;
-        };
-        deleteReviewRequest: {
-            (params?: RequestParameters & PullsDeleteReviewRequestParamsDeprecatedNumber): Promise<AnyResponse>;
-            (params?: RequestParameters & PullsDeleteReviewRequestParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** To dismiss a pull request review on a [protected branch](https://developer.github.com/v3/repos/branches/), you must be a repository administrator or be included in the list of people or teams who can dismiss pull request reviews.
-         */
-        dismissReview: {
-            (params?: RequestParameters & PullsDismissReviewParamsDeprecatedNumber): Promise<OctokitResponse<PullsDismissReviewResponse>>;
-            (params?: RequestParameters & PullsDismissReviewParams): Promise<OctokitResponse<PullsDismissReviewResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Draft pull requests are available in public repositories with GitHub Free and GitHub Pro, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists details of a pull request by providing its number.
-         *
-         * When you get, [create](https://developer.github.com/v3/pulls/#create-a-pull-request), or [edit](https://developer.github.com/v3/pulls/#update-a-pull-request) a pull request, GitHub creates a merge commit to test whether the pull request can be automatically merged into the base branch. This test commit is not added to the base branch or the head branch. You can review the status of the test commit using the `mergeable` key. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
-         *
-         * The value of the `mergeable` attribute can be `true`, `false`, or `null`. If the value is `null`, then GitHub has started a background job to compute the mergeability. After giving the job time to complete, resubmit the request. When the job finishes, you will see a non-`null` value for the `mergeable` attribute in the response. If `mergeable` is `true`, then `merge_commit_sha` will be the SHA of the _test_ merge commit.
-         *
-         * The value of the `merge_commit_sha` attribute changes depending on the state of the pull request. Before merging a pull request, the `merge_commit_sha` attribute holds the SHA of the _test_ merge commit. After merging a pull request, the `merge_commit_sha` attribute changes depending on how you merged the pull request:
-         *
-         * *   If merged as a [merge commit](https://help.github.com/articles/about-merge-methods-on-github/), `merge_commit_sha` represents the SHA of the merge commit.
-         * *   If merged via a [squash](https://help.github.com/articles/about-merge-methods-on-github/#squashing-your-merge-commits), `merge_commit_sha` represents the SHA of the squashed commit on the base branch.
-         * *   If [rebased](https://help.github.com/articles/about-merge-methods-on-github/#rebasing-and-merging-your-commits), `merge_commit_sha` represents the commit that the base branch was updated to.
-         *
-         * Pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch diff and patch formats.
-         */
-        get: {
-            (params?: RequestParameters & PullsGetParamsDeprecatedNumber): Promise<OctokitResponse<PullsGetResponse>>;
-            (params?: RequestParameters & PullsGetParams): Promise<OctokitResponse<PullsGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-         *
-         * Provides details for a review comment.
-         *
-         * **Multi-line comment summary**
-         *
-         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-         *
-         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-         *
-         * If you use the `comfort-fade` preview header, your response will show:
-         *
-         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-         *
-         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-         *
-         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-         *
-         * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
-         */
-        getComment: {
-            (params?: RequestParameters & PullsGetCommentParams): Promise<OctokitResponse<PullsGetCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getCommentsForReview: {
-            (params?: RequestParameters & PullsGetCommentsForReviewParamsDeprecatedNumber): Promise<OctokitResponse<PullsGetCommentsForReviewResponse>>;
-            (params?: RequestParameters & PullsGetCommentsForReviewParams): Promise<OctokitResponse<PullsGetCommentsForReviewResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getReview: {
-            (params?: RequestParameters & PullsGetReviewParamsDeprecatedNumber): Promise<OctokitResponse<PullsGetReviewResponse>>;
-            (params?: RequestParameters & PullsGetReviewParams): Promise<OctokitResponse<PullsGetReviewResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Draft pull requests are available in public repositories with GitHub Free and GitHub Pro, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        list: {
-            (params?: RequestParameters & PullsListParams): Promise<OctokitResponse<PullsListResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-         *
-         * Lists review comments for a pull request. By default, review comments are in ascending order by ID.
-         *
-         * **Multi-line comment summary**
-         *
-         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-         *
-         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-         *
-         * If you use the `comfort-fade` preview header, your response will show:
-         *
-         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-         *
-         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-         *
-         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-         *
-         * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
-         */
-        listComments: {
-            (params?: RequestParameters & PullsListCommentsParamsDeprecatedNumber): Promise<OctokitResponse<PullsListCommentsResponse>>;
-            (params?: RequestParameters & PullsListCommentsParams): Promise<OctokitResponse<PullsListCommentsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-         *
-         * Lists review comments for all pull requests in a repository. By default, review comments are in ascending order by ID.
-         *
-         * **Multi-line comment summary**
-         *
-         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-         *
-         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-         *
-         * If you use the `comfort-fade` preview header, your response will show:
-         *
-         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-         *
-         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-         *
-         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-         *
-         * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
-         */
-        listCommentsForRepo: {
-            (params?: RequestParameters & PullsListCommentsForRepoParams): Promise<OctokitResponse<PullsListCommentsForRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists a maximum of 250 commits for a pull request. To receive a complete commit list for pull requests with more than 250 commits, use the [Commit List API](https://developer.github.com/v3/repos/commits/#list-commits-on-a-repository).
-         */
-        listCommits: {
-            (params?: RequestParameters & PullsListCommitsParamsDeprecatedNumber): Promise<OctokitResponse<PullsListCommitsResponse>>;
-            (params?: RequestParameters & PullsListCommitsParams): Promise<OctokitResponse<PullsListCommitsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** Responses include a maximum of 3000 files. The paginated response returns 30 files per page by default.
-         */
-        listFiles: {
-            (params?: RequestParameters & PullsListFilesParamsDeprecatedNumber): Promise<OctokitResponse<PullsListFilesResponse>>;
-            (params?: RequestParameters & PullsListFilesParams): Promise<OctokitResponse<PullsListFilesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listReviewRequests: {
-            (params?: RequestParameters & PullsListReviewRequestsParamsDeprecatedNumber): Promise<OctokitResponse<PullsListReviewRequestsResponse>>;
-            (params?: RequestParameters & PullsListReviewRequestsParams): Promise<OctokitResponse<PullsListReviewRequestsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The list of reviews returns in chronological order.
-         */
-        listReviews: {
-            (params?: RequestParameters & PullsListReviewsParamsDeprecatedNumber): Promise<OctokitResponse<PullsListReviewsResponse>>;
-            (params?: RequestParameters & PullsListReviewsParams): Promise<OctokitResponse<PullsListReviewsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        merge: {
-            (params?: RequestParameters & PullsMergeParamsDeprecatedNumber): Promise<OctokitResponse<PullsMergeResponse>>;
-            (params?: RequestParameters & PullsMergeParams): Promise<OctokitResponse<PullsMergeResponse>>;
-            endpoint: EndpointInterface;
-        };
-        submitReview: {
-            (params?: RequestParameters & PullsSubmitReviewParamsDeprecatedNumber): Promise<OctokitResponse<PullsSubmitReviewResponse>>;
-            (params?: RequestParameters & PullsSubmitReviewParams): Promise<OctokitResponse<PullsSubmitReviewResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Draft pull requests are available in public repositories with GitHub Free and GitHub Pro, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To open or update a pull request in a public repository, you must have write access to the head or the source branch. For organization-owned repositories, you must be a member of the organization that owns the repository to open or update a pull request.
-         */
-        update: {
-            (params?: RequestParameters & PullsUpdateParamsDeprecatedNumber): Promise<OctokitResponse<PullsUpdateResponse>>;
-            (params?: RequestParameters & PullsUpdateParams): Promise<OctokitResponse<PullsUpdateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Updates the pull request branch with the latest upstream changes by merging HEAD from the base branch into the pull request branch.
-         */
-        updateBranch: {
-            (params?: RequestParameters & PullsUpdateBranchParams): Promise<OctokitResponse<PullsUpdateBranchResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-         *
-         * Enables you to edit a review comment.
-         *
-         * **Multi-line comment summary**
-         *
-         * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-         *
-         * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-         *
-         * If you use the `comfort-fade` preview header, your response will show:
-         *
-         * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-         * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-         *
-         * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-         *
-         * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-         * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-         */
-        updateComment: {
-            (params?: RequestParameters & PullsUpdateCommentParams): Promise<OctokitResponse<PullsUpdateCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Update the review summary comment with new text.
-         */
-        updateReview: {
-            (params?: RequestParameters & PullsUpdateReviewParamsDeprecatedNumber): Promise<OctokitResponse<PullsUpdateReviewResponse>>;
-            (params?: RequestParameters & PullsUpdateReviewParams): Promise<OctokitResponse<PullsUpdateReviewResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    rateLimit: {
-        /**
-         * **Note:** Accessing this endpoint does not count against your REST API rate limit.
-         *
-         * **Understanding your rate limit status**
-         *
-         * The Search API has a [custom rate limit](https://developer.github.com/v3/search/#rate-limit), separate from the rate limit governing the rest of the REST API. The GraphQL API also has a [custom rate limit](https://developer.github.com/v4/guides/resource-limitations/#rate-limit) that is separate from and calculated differently than rate limits in the REST API.
-         *
-         * For these reasons, the Rate Limit API response categorizes your rate limit. Under `resources`, you'll see four objects:
-         *
-         * *   The `core` object provides your rate limit status for all non-search-related resources in the REST API.
-         * *   The `search` object provides your rate limit status for the [Search API](https://developer.github.com/v3/search/).
-         * *   The `graphql` object provides your rate limit status for the [GraphQL API](https://developer.github.com/v4/).
-         * *   The `integration_manifest` object provides your rate limit status for the [GitHub App Manifest code conversion](https://developer.github.com/apps/building-github-apps/creating-github-apps-from-a-manifest/#3-you-exchange-the-temporary-code-to-retrieve-the-app-configuration) endpoint.
-         *
-         * For more information on the headers and values in the rate limit response, see "[Rate limiting](https://developer.github.com/v3/#rate-limiting)."
-         *
-         * The `rate` object (shown at the bottom of the response above) is deprecated.
-         *
-         * If you're writing new API client code or updating existing code, you should use the `core` object instead of the `rate` object. The `core` object contains the same information that is present in the `rate` object.
-         */
-        get: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<RateLimitGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    reactions: {
-        /**
-         * Create a reaction to a [commit comment](https://developer.github.com/v3/repos/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this commit comment.
-         */
-        createForCommitComment: {
-            (params?: RequestParameters & ReactionsCreateForCommitCommentParams): Promise<OctokitResponse<ReactionsCreateForCommitCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Create a reaction to an [issue](https://developer.github.com/v3/issues/). A response with a `Status: 200 OK` means that you already added the reaction type to this issue.
-         */
-        createForIssue: {
-            (params?: RequestParameters & ReactionsCreateForIssueParamsDeprecatedNumber): Promise<OctokitResponse<ReactionsCreateForIssueResponse>>;
-            (params?: RequestParameters & ReactionsCreateForIssueParams): Promise<OctokitResponse<ReactionsCreateForIssueResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Create a reaction to an [issue comment](https://developer.github.com/v3/issues/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this issue comment.
-         */
-        createForIssueComment: {
-            (params?: RequestParameters & ReactionsCreateForIssueCommentParams): Promise<OctokitResponse<ReactionsCreateForIssueCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Create a reaction to a [pull request review comment](https://developer.github.com/v3/pulls/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this pull request review comment.
-         */
-        createForPullRequestReviewComment: {
-            (params?: RequestParameters & ReactionsCreateForPullRequestReviewCommentParams): Promise<OctokitResponse<ReactionsCreateForPullRequestReviewCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create reaction for a team discussion`](https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion) endpoint.
-         *
-         * Create a reaction to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion.
-         * @deprecated octokit.reactions.createForTeamDiscussion() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy
-         */
-        createForTeamDiscussion: {
-            (params?: RequestParameters & ReactionsCreateForTeamDiscussionParams): Promise<OctokitResponse<ReactionsCreateForTeamDiscussionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create reaction for a team discussion comment`](https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment) endpoint.
-         *
-         * Create a reaction to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion comment.
-         * @deprecated octokit.reactions.createForTeamDiscussionComment() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy
-         */
-        createForTeamDiscussionComment: {
-            (params?: RequestParameters & ReactionsCreateForTeamDiscussionCommentParams): Promise<OctokitResponse<ReactionsCreateForTeamDiscussionCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Create a reaction to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion comment.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number/reactions`.
-         */
-        createForTeamDiscussionCommentInOrg: {
-            (params?: RequestParameters & ReactionsCreateForTeamDiscussionCommentInOrgParams): Promise<OctokitResponse<ReactionsCreateForTeamDiscussionCommentInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create reaction for a team discussion comment`](https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment) endpoint.
-         *
-         * Create a reaction to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion comment.
-         * @deprecated octokit.reactions.createForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy
-         */
-        createForTeamDiscussionCommentLegacy: {
-            (params?: RequestParameters & ReactionsCreateForTeamDiscussionCommentLegacyParams): Promise<OctokitResponse<ReactionsCreateForTeamDiscussionCommentLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Create a reaction to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions/:discussion_number/reactions`.
-         */
-        createForTeamDiscussionInOrg: {
-            (params?: RequestParameters & ReactionsCreateForTeamDiscussionInOrgParams): Promise<OctokitResponse<ReactionsCreateForTeamDiscussionInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create reaction for a team discussion`](https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion) endpoint.
-         *
-         * Create a reaction to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion.
-         * @deprecated octokit.reactions.createForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy
-         */
-        createForTeamDiscussionLegacy: {
-            (params?: RequestParameters & ReactionsCreateForTeamDiscussionLegacyParams): Promise<OctokitResponse<ReactionsCreateForTeamDiscussionLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), when deleting a [team discussion](https://developer.github.com/v3/teams/discussions/) or [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/).
-         */
-        delete: {
-            (params?: RequestParameters & ReactionsDeleteParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the reactions to a [commit comment](https://developer.github.com/v3/repos/comments/).
-         */
-        listForCommitComment: {
-            (params?: RequestParameters & ReactionsListForCommitCommentParams): Promise<OctokitResponse<ReactionsListForCommitCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the reactions to an [issue](https://developer.github.com/v3/issues/).
-         */
-        listForIssue: {
-            (params?: RequestParameters & ReactionsListForIssueParamsDeprecatedNumber): Promise<OctokitResponse<ReactionsListForIssueResponse>>;
-            (params?: RequestParameters & ReactionsListForIssueParams): Promise<OctokitResponse<ReactionsListForIssueResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the reactions to an [issue comment](https://developer.github.com/v3/issues/comments/).
-         */
-        listForIssueComment: {
-            (params?: RequestParameters & ReactionsListForIssueCommentParams): Promise<OctokitResponse<ReactionsListForIssueCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the reactions to a [pull request review comment](https://developer.github.com/v3/pulls/comments/).
-         */
-        listForPullRequestReviewComment: {
-            (params?: RequestParameters & ReactionsListForPullRequestReviewCommentParams): Promise<OctokitResponse<ReactionsListForPullRequestReviewCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List reactions for a team discussion`](https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion) endpoint.
-         *
-         * List the reactions to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.reactions.listForTeamDiscussion() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy
-         */
-        listForTeamDiscussion: {
-            (params?: RequestParameters & ReactionsListForTeamDiscussionParams): Promise<OctokitResponse<ReactionsListForTeamDiscussionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List reactions for a team discussion comment`](https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment) endpoint.
-         *
-         * List the reactions to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.reactions.listForTeamDiscussionComment() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy
-         */
-        listForTeamDiscussionComment: {
-            (params?: RequestParameters & ReactionsListForTeamDiscussionCommentParams): Promise<OctokitResponse<ReactionsListForTeamDiscussionCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the reactions to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number/reactions`.
-         */
-        listForTeamDiscussionCommentInOrg: {
-            (params?: RequestParameters & ReactionsListForTeamDiscussionCommentInOrgParams): Promise<OctokitResponse<ReactionsListForTeamDiscussionCommentInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List reactions for a team discussion comment`](https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment) endpoint.
-         *
-         * List the reactions to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.reactions.listForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy
-         */
-        listForTeamDiscussionCommentLegacy: {
-            (params?: RequestParameters & ReactionsListForTeamDiscussionCommentLegacyParams): Promise<OctokitResponse<ReactionsListForTeamDiscussionCommentLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the reactions to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/reactions`.
-         */
-        listForTeamDiscussionInOrg: {
-            (params?: RequestParameters & ReactionsListForTeamDiscussionInOrgParams): Promise<OctokitResponse<ReactionsListForTeamDiscussionInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List reactions for a team discussion`](https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion) endpoint.
-         *
-         * List the reactions to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.reactions.listForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy
-         */
-        listForTeamDiscussionLegacy: {
-            (params?: RequestParameters & ReactionsListForTeamDiscussionLegacyParams): Promise<OctokitResponse<ReactionsListForTeamDiscussionLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    repos: {
-        acceptInvitation: {
-            (params?: RequestParameters & ReposAcceptInvitationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         *
-         * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         *
-         * The invitee will receive a notification that they have been invited to the repository, which they must accept or decline. They may do this via the notifications page, the email they receive, or by using the [repository invitations API endpoints](https://developer.github.com/v3/repos/invitations/).
-         *
-         * **Rate limits**
-         *
-         * To prevent abuse, you are limited to sending 50 invitations to a repository per 24 hour period. Note there is no limit if you are inviting organization members to an organization repository.
-         */
-        addCollaborator: {
-            (params?: RequestParameters & ReposAddCollaboratorParams): Promise<OctokitResponse<ReposAddCollaboratorResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Here's how you can create a read-only deploy key:
-         */
-        addDeployKey: {
-            (params?: RequestParameters & ReposAddDeployKeyParams): Promise<OctokitResponse<ReposAddDeployKeyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Adding admin enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
-         */
-        addProtectedBranchAdminEnforcement: {
-            (params?: RequestParameters & ReposAddProtectedBranchAdminEnforcementParams): Promise<OctokitResponse<ReposAddProtectedBranchAdminEnforcementResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Grants the specified apps push access for this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-         *
-         * | Type    | Description                                                                                                                                                |
-         * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
-         * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        addProtectedBranchAppRestrictions: {
-            (params?: RequestParameters & ReposAddProtectedBranchAppRestrictionsParams): Promise<OctokitResponse<ReposAddProtectedBranchAppRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * When authenticated with admin or owner permissions to the repository, you can use this endpoint to require signed commits on a branch. You must enable branch protection to require signed commits.
-         */
-        addProtectedBranchRequiredSignatures: {
-            (params?: RequestParameters & ReposAddProtectedBranchRequiredSignaturesParams): Promise<OctokitResponse<ReposAddProtectedBranchRequiredSignaturesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        addProtectedBranchRequiredStatusChecksContexts: {
-            (params?: RequestParameters & ReposAddProtectedBranchRequiredStatusChecksContextsParams): Promise<OctokitResponse<ReposAddProtectedBranchRequiredStatusChecksContextsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Grants the specified teams push access for this branch. You can also give push access to child teams.
-         *
-         * | Type    | Description                                                                                                                                |
-         * | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
-         * | `array` | The teams that can have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        addProtectedBranchTeamRestrictions: {
-            (params?: RequestParameters & ReposAddProtectedBranchTeamRestrictionsParams): Promise<OctokitResponse<ReposAddProtectedBranchTeamRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Grants the specified people push access for this branch.
-         *
-         * | Type    | Description                                                                                                                   |
-         * | ------- | ----------------------------------------------------------------------------------------------------------------------------- |
-         * | `array` | Usernames for people who can have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        addProtectedBranchUserRestrictions: {
-            (params?: RequestParameters & ReposAddProtectedBranchUserRestrictionsParams): Promise<OctokitResponse<ReposAddProtectedBranchUserRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * For organization-owned repositories, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners.
-         *
-         * Team members will include the members of child teams.
-         */
-        checkCollaborator: {
-            (params?: RequestParameters & ReposCheckCollaboratorParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Shows whether vulnerability alerts are enabled or disabled for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://help.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)" in the GitHub Help documentation.
-         */
-        checkVulnerabilityAlerts: {
-            (params?: RequestParameters & ReposCheckVulnerabilityAlertsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Both `:base` and `:head` must be branch names in `:repo`. To compare branches across other repositories in the same network as `:repo`, use the format `<USERNAME>:branch`.
-         *
-         * The response from the API is equivalent to running the `git log base..head` command; however, commits are returned in chronological order. Pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch diff and patch formats.
-         *
-         * The response also includes details on the files that were changed between the two commits. This includes the status of the change (for example, if a file was added, removed, modified, or renamed), and details of the change itself. For example, files with a `renamed` status have a `previous_filename` field showing the previous filename of the file, and files with a `modified` status have a `patch` field showing the changes made to the file.
-         *
-         * **Working with large comparisons**
-         *
-         * The response will include a comparison of up to 250 commits. If you are working with a larger commit range, you can use the [Commit List API](https://developer.github.com/v3/repos/commits/#list-commits-on-a-repository) to enumerate all commits in the range.
-         *
-         * For comparisons with extremely large diffs, you may receive an error response indicating that the diff took too long to generate. You can typically resolve this error by using a smaller commit range.
-         *
-         * **Signature verification object**
-         *
-         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-         *
-         * These are the possible values for `reason` in the `verification` object:
-         *
-         * | Value                    | Description                                                                                                                       |
-         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-         * | `unsigned`               | The object does not include a signature.                                                                                          |
-         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-         */
-        compareCommits: {
-            (params?: RequestParameters & ReposCompareCommitsParams): Promise<OctokitResponse<ReposCompareCommitsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Create a comment for a commit using its `:commit_sha`.
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        createCommitComment: {
-            (params?: RequestParameters & ReposCreateCommitCommentParamsDeprecatedSha): Promise<OctokitResponse<ReposCreateCommitCommentResponse>>;
-            (params?: RequestParameters & ReposCreateCommitCommentParamsDeprecatedLine): Promise<OctokitResponse<ReposCreateCommitCommentResponse>>;
-            (params?: RequestParameters & ReposCreateCommitCommentParams): Promise<OctokitResponse<ReposCreateCommitCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deployments offer a few configurable parameters with sane defaults.
-         *
-         * The `ref` parameter can be any named branch, tag, or SHA. At GitHub we often deploy branches and verify them before we merge a pull request.
-         *
-         * The `environment` parameter allows deployments to be issued to different runtime environments. Teams often have multiple environments for verifying their applications, such as `production`, `staging`, and `qa`. This parameter makes it easier to track which environments have requested deployments. The default environment is `production`.
-         *
-         * The `auto_merge` parameter is used to ensure that the requested ref is not behind the repository's default branch. If the ref _is_ behind the default branch for the repository, we will attempt to merge it for you. If the merge succeeds, the API will return a successful merge commit. If merge conflicts prevent the merge from succeeding, the API will return a failure response.
-         *
-         * By default, [commit statuses](https://developer.github.com/v3/repos/statuses) for every submitted context must be in a `success` state. The `required_contexts` parameter allows you to specify a subset of contexts that must be `success`, or to specify contexts that have not yet been submitted. You are not required to use commit statuses to deploy. If you do not require any contexts or create any commit statuses, the deployment will always succeed.
-         *
-         * The `payload` parameter is available for any extra information that a deployment system might need. It is a JSON text field that will be passed on when a deployment event is dispatched.
-         *
-         * The `task` parameter is used by the deployment system to allow different execution paths. In the web world this might be `deploy:migrations` to run schema changes on the system. In the compiled world this could be a flag to compile an application with debugging enabled.
-         *
-         * Users with `repo` or `repo_deployment` scopes can create a deployment for a given ref:
-         *
-         * A simple example putting the user and room into the payload to notify back to chat networks.
-         *
-         * A more advanced example specifying required commit statuses and bypassing auto-merging.
-         *
-         * You will see this response when GitHub automatically merges the base branch into the topic branch instead of creating a deployment. This auto-merge happens when:
-         *
-         * *   Auto-merge option is enabled in the repository
-         * *   Topic branch does not include the latest changes on the base branch, which is `master`in the response example
-         * *   There are no merge conflicts
-         *
-         * If there are no new commits in the base branch, a new request to create a deployment should give a successful response.
-         *
-         * This error happens when the `auto_merge` option is enabled and when the default branch (in this case `master`), can't be merged into the branch that's being deployed (in this case `topic-branch`), due to merge conflicts.
-         *
-         * This error happens when the `required_contexts` parameter indicates that one or more contexts need to have a `success` status for the commit to be deployed, but one or more of the required contexts do not have a state of `success`.
-         */
-        createDeployment: {
-            (params?: RequestParameters & ReposCreateDeploymentParams): Promise<OctokitResponse<ReposCreateDeploymentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with `push` access can create deployment statuses for a given deployment.
-         *
-         * GitHub Apps require `read & write` access to "Deployments" and `read-only` access to "Repo contents" (for private repos). OAuth Apps require the `repo_deployment` scope.
-         */
-        createDeploymentStatus: {
-            (params?: RequestParameters & ReposCreateDeploymentStatusParams): Promise<OctokitResponse<ReposCreateDeploymentStatusResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You can use this endpoint to trigger a webhook event called `repository_dispatch` when you want activity that happens outside of GitHub to trigger a GitHub Actions workflow or GitHub App webhook. You must configure your GitHub Actions workflow or GitHub App to run when the `repository_dispatch` event occurs. For an example `repository_dispatch` webhook payload, see "[RepositoryDispatchEvent](https://developer.github.com/v3/activity/events/types/#repositorydispatchevent)."
-         *
-         * The `client_payload` parameter is available for any extra information that your workflow might need. This parameter is a JSON payload that will be passed on when the webhook event is dispatched. For example, the `client_payload` can include a message that a user would like to send using a GitHub Actions workflow. Or the `client_payload` can be used as a test to debug your workflow. For a test example, see the [input example](https://developer.github.com/v3/repos/#example-4).
-         *
-         * To give you write access to the repository, you must use a personal access token with the `repo` scope. For more information, see "[Creating a personal access token for the command line](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line)" in the GitHub Help documentation.
-         *
-         * This input example shows how you can use the `client_payload` as a test to debug your workflow.
-         */
-        createDispatchEvent: {
-            (params?: RequestParameters & ReposCreateDispatchEventParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new file or updates an existing file in a repository.
-         * @deprecated octokit.repos.createFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)
-         */
-        createFile: {
-            (params?: RequestParameters & ReposCreateFileParams): Promise<OctokitResponse<ReposCreateFileResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new repository for the authenticated user.
-         *
-         * **OAuth scope requirements**
-         *
-         * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
-         *
-         * *   `public_repo` scope or `repo` scope to create a public repository
-         * *   `repo` scope to create a private repository
-         */
-        createForAuthenticatedUser: {
-            (params?: RequestParameters & ReposCreateForAuthenticatedUserParams): Promise<OctokitResponse<ReposCreateForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Create a fork for the authenticated user.
-         *
-         * **Note**: Forking a Repository happens asynchronously. You may have to wait a short period of time before you can access the git objects. If this takes longer than 5 minutes, be sure to contact [GitHub Support](https://github.com/contact) or [GitHub Premium Support](https://premium.githubsupport.com).
-         */
-        createFork: {
-            (params?: RequestParameters & ReposCreateForkParams): Promise<OctokitResponse<ReposCreateForkResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Repositories can have multiple webhooks installed. Each webhook should have a unique `config`. Multiple webhooks can share the same `config` as long as those webhooks do not have any `events` that overlap.
-         *
-         * Here's how you can create a hook that posts payloads in JSON format:
-         */
-        createHook: {
-            (params?: RequestParameters & ReposCreateHookParams): Promise<OctokitResponse<ReposCreateHookResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new repository for the authenticated user.
-         *
-         * **OAuth scope requirements**
-         *
-         * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
-         *
-         * *   `public_repo` scope or `repo` scope to create a public repository
-         * *   `repo` scope to create a private repository
-         */
-        createInOrg: {
-            (params?: RequestParameters & ReposCreateInOrgParams): Promise<OctokitResponse<ReposCreateInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new file or updates an existing file in a repository.
-         */
-        createOrUpdateFile: {
-            (params?: RequestParameters & ReposCreateOrUpdateFileParams): Promise<OctokitResponse<ReposCreateOrUpdateFileResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with push access to the repository can create a release.
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         */
-        createRelease: {
-            (params?: RequestParameters & ReposCreateReleaseParams): Promise<OctokitResponse<ReposCreateReleaseResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with push access in a repository can create commit statuses for a given SHA.
-         *
-         * Note: there is a limit of 1000 statuses per `sha` and `context` within a repository. Attempts to create more than 1000 statuses will result in a validation error.
-         */
-        createStatus: {
-            (params?: RequestParameters & ReposCreateStatusParams): Promise<OctokitResponse<ReposCreateStatusResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new repository using a repository template. Use the `template_owner` and `template_repo` route parameters to specify the repository to use as the template. The authenticated user must own or be a member of an organization that owns the repository. To check if a repository is available to use as a template, get the repository's information using the [`GET /repos/:owner/:repo`](https://developer.github.com/v3/repos/#get) endpoint and check that the `is_template` key is `true`.
-         *
-         * **OAuth scope requirements**
-         *
-         * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
-         *
-         * *   `public_repo` scope or `repo` scope to create a public repository
-         * *   `repo` scope to create a private repository
-         *
-         * \`
-         */
-        createUsingTemplate: {
-            (params?: RequestParameters & ReposCreateUsingTemplateParams): Promise<OctokitResponse<ReposCreateUsingTemplateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        declineInvitation: {
-            (params?: RequestParameters & ReposDeclineInvitationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deleting a repository requires admin access. If OAuth is used, the `delete_repo` scope is required.
-         *
-         * If an organization owner has configured the organization to prevent members from deleting organization-owned repositories, a member will get this response:
-         */
-        delete: {
-            (params?: RequestParameters & ReposDeleteParams): Promise<OctokitResponse<ReposDeleteResponse>>;
-            endpoint: EndpointInterface;
-        };
-        deleteCommitComment: {
-            (params?: RequestParameters & ReposDeleteCommitCommentParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deleteDownload: {
-            (params?: RequestParameters & ReposDeleteDownloadParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deletes a file in a repository.
-         *
-         * You can provide an additional `committer` parameter, which is an object containing information about the committer. Or, you can provide an `author` parameter, which is an object containing information about the author.
-         *
-         * The `author` section is optional and is filled in with the `committer` information if omitted. If the `committer` information is omitted, the authenticated user's information is used.
-         *
-         * You must provide values for both `name` and `email`, whether you choose to use `author` or `committer`. Otherwise, you'll receive a `422` status code.
-         */
-        deleteFile: {
-            (params?: RequestParameters & ReposDeleteFileParams): Promise<OctokitResponse<ReposDeleteFileResponse>>;
-            endpoint: EndpointInterface;
-        };
-        deleteHook: {
-            (params?: RequestParameters & ReposDeleteHookParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deleteInvitation: {
-            (params?: RequestParameters & ReposDeleteInvitationParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with push access to the repository can delete a release.
-         */
-        deleteRelease: {
-            (params?: RequestParameters & ReposDeleteReleaseParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        deleteReleaseAsset: {
-            (params?: RequestParameters & ReposDeleteReleaseAssetParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Disables automated security fixes for a repository. The authenticated user must have admin access to the repository. For more information, see "[Configuring automated security fixes](https://help.github.com/en/articles/configuring-automated-security-fixes)" in the GitHub Help documentation.
-         */
-        disableAutomatedSecurityFixes: {
-            (params?: RequestParameters & ReposDisableAutomatedSecurityFixesParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        disablePagesSite: {
-            (params?: RequestParameters & ReposDisablePagesSiteParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Disables vulnerability alerts and the dependency graph for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://help.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)" in the GitHub Help documentation.
-         */
-        disableVulnerabilityAlerts: {
-            (params?: RequestParameters & ReposDisableVulnerabilityAlertsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Enables automated security fixes for a repository. The authenticated user must have admin access to the repository. For more information, see "[Configuring automated security fixes](https://help.github.com/en/articles/configuring-automated-security-fixes)" in the GitHub Help documentation.
-         */
-        enableAutomatedSecurityFixes: {
-            (params?: RequestParameters & ReposEnableAutomatedSecurityFixesParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        enablePagesSite: {
-            (params?: RequestParameters & ReposEnablePagesSiteParams): Promise<OctokitResponse<ReposEnablePagesSiteResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Enables vulnerability alerts and the dependency graph for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://help.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)" in the GitHub Help documentation.
-         */
-        enableVulnerabilityAlerts: {
-            (params?: RequestParameters & ReposEnableVulnerabilityAlertsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The `parent` and `source` objects are present when the repository is a fork. `parent` is the repository this repository was forked from, `source` is the ultimate source for the network.
-         */
-        get: {
-            (params?: RequestParameters & ReposGetParams): Promise<OctokitResponse<ReposGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists the GitHub Apps that have push access to this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-         */
-        getAppsWithAccessToProtectedBranch: {
-            (params?: RequestParameters & ReposGetAppsWithAccessToProtectedBranchParams): Promise<OctokitResponse<ReposGetAppsWithAccessToProtectedBranchResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a redirect URL to download an archive for a repository. The `:archive_format` can be either `tarball` or `zipball`. The `:ref` must be a valid Git reference. If you omit `:ref`, the repository’s default branch (usually `master`) will be used. Please make sure your HTTP framework is configured to follow redirects or you will need to use the `Location` header to make a second `GET` request.
-         *
-         * _Note_: For private repositories, these links are temporary and expire after five minutes.
-         *
-         * To follow redirects with curl, use the `-L` switch:
-         */
-        getArchiveLink: {
-            (params?: RequestParameters & ReposGetArchiveLinkParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        getBranch: {
-            (params?: RequestParameters & ReposGetBranchParams): Promise<OctokitResponse<ReposGetBranchResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        getBranchProtection: {
-            (params?: RequestParameters & ReposGetBranchProtectionParams): Promise<OctokitResponse<ReposGetBranchProtectionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Get the total number of clones and breakdown per day or week for the last 14 days. Timestamps are aligned to UTC midnight of the beginning of the day or week. Week begins on Monday.
-         */
-        getClones: {
-            (params?: RequestParameters & ReposGetClonesParams): Promise<OctokitResponse<ReposGetClonesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns a weekly aggregate of the number of additions and deletions pushed to a repository.
-         */
-        getCodeFrequencyStats: {
-            (params?: RequestParameters & ReposGetCodeFrequencyStatsParams): Promise<OctokitResponse<ReposGetCodeFrequencyStatsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Possible values for the `permission` key: `admin`, `write`, `read`, `none`.
-         */
-        getCollaboratorPermissionLevel: {
-            (params?: RequestParameters & ReposGetCollaboratorPermissionLevelParams): Promise<OctokitResponse<ReposGetCollaboratorPermissionLevelResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with pull access in a repository can access a combined view of commit statuses for a given ref. The ref can be a SHA, a branch name, or a tag name.
-         *
-         * The most recent status for each context is returned, up to 100. This field [paginates](https://developer.github.com/v3/#pagination) if there are over 100 contexts.
-         *
-         * Additionally, a combined `state` is returned. The `state` is one of:
-         *
-         * *   **failure** if any of the contexts report as `error` or `failure`
-         * *   **pending** if there are no statuses or a context is `pending`
-         * *   **success** if the latest status for all contexts is `success`
-         */
-        getCombinedStatusForRef: {
-            (params?: RequestParameters & ReposGetCombinedStatusForRefParams): Promise<OctokitResponse<ReposGetCombinedStatusForRefResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns the contents of a single commit reference. You must have `read` access for the repository to use this endpoint.
-         *
-         * You can pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch `diff` and `patch` formats. Diffs with binary data will have no `patch` property.
-         *
-         * To return only the SHA-1 hash of the commit reference, you can provide the `sha` custom [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) in the `Accept` header. You can use this endpoint to check if a remote reference's SHA-1 hash is the same as your local reference's SHA-1 hash by providing the local SHA-1 reference as the ETag.
-         *
-         * **Signature verification object**
-         *
-         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-         *
-         * These are the possible values for `reason` in the `verification` object:
-         *
-         * | Value                    | Description                                                                                                                       |
-         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-         * | `unsigned`               | The object does not include a signature.                                                                                          |
-         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-         */
-        getCommit: {
-            (params?: RequestParameters & ReposGetCommitParamsDeprecatedSha): Promise<OctokitResponse<ReposGetCommitResponse>>;
-            (params?: RequestParameters & ReposGetCommitParamsDeprecatedCommitSha): Promise<OctokitResponse<ReposGetCommitResponse>>;
-            (params?: RequestParameters & ReposGetCommitParams): Promise<OctokitResponse<ReposGetCommitResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns the last year of commit activity grouped by week. The `days` array is a group of commits per day, starting on `Sunday`.
-         */
-        getCommitActivityStats: {
-            (params?: RequestParameters & ReposGetCommitActivityStatsParams): Promise<OctokitResponse<ReposGetCommitActivityStatsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getCommitComment: {
-            (params?: RequestParameters & ReposGetCommitCommentParams): Promise<OctokitResponse<ReposGetCommitCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** To access this endpoint, you must provide a custom [media type](https://developer.github.com/v3/media) in the `Accept` header:
-         * ```
-         * application/vnd.github.VERSION.sha
-         * ```
-         * Returns the SHA-1 of the commit reference. You must have `read` access for the repository to get the SHA-1 of a commit reference. You can use this endpoint to check if a remote reference's SHA-1 is the same as your local reference's SHA-1 by providing the local SHA-1 reference as the ETag.
-         * @deprecated "Get the SHA-1 of a commit reference" will be removed. Use "Get a single commit" instead with media type format set to "sha" instead.
-         */
-        getCommitRefSha: {
-            (params?: RequestParameters & ReposGetCommitRefShaParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets the contents of a file or directory in a repository. Specify the file path or directory in `:path`. If you omit `:path`, you will receive the contents of all files in the repository.
-         *
-         * Files and symlinks support [a custom media type](https://developer.github.com/v3/repos/contents/#custom-media-types) for retrieving the raw content or rendered HTML (when supported). All content types support [a custom media type](https://developer.github.com/v3/repos/contents/#custom-media-types) to ensure the content is returned in a consistent object format.
-         *
-         * **Note**:
-         *
-         * *   To get a repository's contents recursively, you can [recursively get the tree](https://developer.github.com/v3/git/trees/).
-         * *   This API has an upper limit of 1,000 files for a directory. If you need to retrieve more files, use the [Git Trees API](https://developer.github.com/v3/git/trees/#get-a-tree).
-         * *   This API supports files up to 1 megabyte in size.
-         *
-         * The response will be an array of objects, one object for each item in the directory.
-         *
-         * When listing the contents of a directory, submodules have their "type" specified as "file". Logically, the value _should_ be "submodule". This behavior exists in API v3 [for backwards compatibility purposes](https://git.io/v1YCW). In the next major version of the API, the type will be returned as "submodule".
-         *
-         * If the requested `:path` points to a symlink, and the symlink's target is a normal file in the repository, then the API responds with the content of the file (in the [format shown above](https://developer.github.com/v3/repos/contents/#response-if-content-is-a-file)).
-         *
-         * Otherwise, the API responds with an object describing the symlink itself:
-         *
-         * The `submodule_git_url` identifies the location of the submodule repository, and the `sha` identifies a specific commit within the submodule repository. Git uses the given URL when cloning the submodule repository, and checks out the submodule at that specific commit.
-         *
-         * If the submodule repository is not hosted on github.com, the Git URLs (`git_url` and `_links["git"]`) and the github.com URLs (`html_url` and `_links["html"]`) will have null values.
-         */
-        getContents: {
-            (params?: RequestParameters & ReposGetContentsParams): Promise<OctokitResponse<ReposGetContentsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * *   `total` - The Total number of commits authored by the contributor.
-         *
-         * Weekly Hash (`weeks` array):
-         *
-         * *   `w` - Start of the week, given as a [Unix timestamp](http://en.wikipedia.org/wiki/Unix_time).
-         * *   `a` - Number of additions
-         * *   `d` - Number of deletions
-         * *   `c` - Number of commits
-         */
-        getContributorsStats: {
-            (params?: RequestParameters & ReposGetContributorsStatsParams): Promise<OctokitResponse<ReposGetContributorsStatsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getDeployKey: {
-            (params?: RequestParameters & ReposGetDeployKeyParams): Promise<OctokitResponse<ReposGetDeployKeyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getDeployment: {
-            (params?: RequestParameters & ReposGetDeploymentParams): Promise<OctokitResponse<ReposGetDeploymentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with pull access can view a deployment status for a deployment:
-         */
-        getDeploymentStatus: {
-            (params?: RequestParameters & ReposGetDeploymentStatusParams): Promise<OctokitResponse<ReposGetDeploymentStatusResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getDownload: {
-            (params?: RequestParameters & ReposGetDownloadParams): Promise<OctokitResponse<ReposGetDownloadResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getHook: {
-            (params?: RequestParameters & ReposGetHookParams): Promise<OctokitResponse<ReposGetHookResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getLatestPagesBuild: {
-            (params?: RequestParameters & ReposGetLatestPagesBuildParams): Promise<OctokitResponse<ReposGetLatestPagesBuildResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * View the latest published full release for the repository.
-         *
-         * The latest release is the most recent non-prerelease, non-draft release, sorted by the `created_at` attribute. The `created_at` attribute is the date of the commit used for the release, and not the date when the release was drafted or published.
-         */
-        getLatestRelease: {
-            (params?: RequestParameters & ReposGetLatestReleaseParams): Promise<OctokitResponse<ReposGetLatestReleaseResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getPages: {
-            (params?: RequestParameters & ReposGetPagesParams): Promise<OctokitResponse<ReposGetPagesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        getPagesBuild: {
-            (params?: RequestParameters & ReposGetPagesBuildParams): Promise<OctokitResponse<ReposGetPagesBuildResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Returns the total commit counts for the `owner` and total commit counts in `all`. `all` is everyone combined, including the `owner` in the last 52 weeks. If you'd like to get the commit counts for non-owners, you can subtract `owner` from `all`.
-         *
-         * The array order is oldest week (index 0) to most recent week.
-         */
-        getParticipationStats: {
-            (params?: RequestParameters & ReposGetParticipationStatsParams): Promise<OctokitResponse<ReposGetParticipationStatsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        getProtectedBranchAdminEnforcement: {
-            (params?: RequestParameters & ReposGetProtectedBranchAdminEnforcementParams): Promise<OctokitResponse<ReposGetProtectedBranchAdminEnforcementResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        getProtectedBranchPullRequestReviewEnforcement: {
-            (params?: RequestParameters & ReposGetProtectedBranchPullRequestReviewEnforcementParams): Promise<OctokitResponse<ReposGetProtectedBranchPullRequestReviewEnforcementResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * When authenticated with admin or owner permissions to the repository, you can use this endpoint to check whether a branch requires signed commits. An enabled status of `true` indicates you must sign commits on this branch. For more information, see [Signing commits with GPG](https://help.github.com/articles/signing-commits-with-gpg) in GitHub Help.
-         *
-         * **Note**: You must enable branch protection to require signed commits.
-         */
-        getProtectedBranchRequiredSignatures: {
-            (params?: RequestParameters & ReposGetProtectedBranchRequiredSignaturesParams): Promise<OctokitResponse<ReposGetProtectedBranchRequiredSignaturesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        getProtectedBranchRequiredStatusChecks: {
-            (params?: RequestParameters & ReposGetProtectedBranchRequiredStatusChecksParams): Promise<OctokitResponse<ReposGetProtectedBranchRequiredStatusChecksResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists who has access to this protected branch. {{#note}}
-         *
-         * **Note**: Users, apps, and teams `restrictions` are only available for organization-owned repositories.
-         */
-        getProtectedBranchRestrictions: {
-            (params?: RequestParameters & ReposGetProtectedBranchRestrictionsParams): Promise<OctokitResponse<ReposGetProtectedBranchRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Each array contains the day number, hour number, and number of commits:
-         *
-         * *   `0-6`: Sunday - Saturday
-         * *   `0-23`: Hour of day
-         * *   Number of commits
-         *
-         * For example, `[2, 14, 25]` indicates that there were 25 total commits, during the 2:00pm hour on Tuesdays. All times are based on the time zone of individual commits.
-         */
-        getPunchCardStats: {
-            (params?: RequestParameters & ReposGetPunchCardStatsParams): Promise<OctokitResponse<ReposGetPunchCardStatsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets the preferred README for a repository.
-         *
-         * READMEs support [custom media types](https://developer.github.com/v3/repos/contents/#custom-media-types) for retrieving the raw content or rendered HTML.
-         */
-        getReadme: {
-            (params?: RequestParameters & ReposGetReadmeParams): Promise<OctokitResponse<ReposGetReadmeResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** This returns an `upload_url` key corresponding to the endpoint for uploading release assets. This key is a [hypermedia resource](https://developer.github.com/v3/#hypermedia).
-         */
-        getRelease: {
-            (params?: RequestParameters & ReposGetReleaseParams): Promise<OctokitResponse<ReposGetReleaseResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * To download the asset's binary content, set the `Accept` header of the request to [`application/octet-stream`](https://developer.github.com/v3/media/#media-types). The API will either redirect the client to the location, or stream it directly if possible. API clients should handle both a `200` or `302` response.
-         */
-        getReleaseAsset: {
-            (params?: RequestParameters & ReposGetReleaseAssetParams): Promise<OctokitResponse<ReposGetReleaseAssetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Get a published release with the specified tag.
-         */
-        getReleaseByTag: {
-            (params?: RequestParameters & ReposGetReleaseByTagParams): Promise<OctokitResponse<ReposGetReleaseByTagResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists the teams who have push access to this branch. The list includes child teams.
-         */
-        getTeamsWithAccessToProtectedBranch: {
-            (params?: RequestParameters & ReposGetTeamsWithAccessToProtectedBranchParams): Promise<OctokitResponse<ReposGetTeamsWithAccessToProtectedBranchResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Get the top 10 popular contents over the last 14 days.
-         */
-        getTopPaths: {
-            (params?: RequestParameters & ReposGetTopPathsParams): Promise<OctokitResponse<ReposGetTopPathsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Get the top 10 referrers over the last 14 days.
-         */
-        getTopReferrers: {
-            (params?: RequestParameters & ReposGetTopReferrersParams): Promise<OctokitResponse<ReposGetTopReferrersResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists the people who have push access to this branch.
-         */
-        getUsersWithAccessToProtectedBranch: {
-            (params?: RequestParameters & ReposGetUsersWithAccessToProtectedBranchParams): Promise<OctokitResponse<ReposGetUsersWithAccessToProtectedBranchResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Get the total number of views and breakdown per day or week for the last 14 days. Timestamps are aligned to UTC midnight of the beginning of the day or week. Week begins on Monday.
-         */
-        getViews: {
-            (params?: RequestParameters & ReposGetViewsParams): Promise<OctokitResponse<ReposGetViewsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists repositories that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access.
-         *
-         * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
-         */
-        list: {
-            (params?: RequestParameters & ReposListParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists the GitHub Apps that have push access to this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-         * @deprecated octokit.repos.listAppsWithAccessToProtectedBranch() has been renamed to octokit.repos.getAppsWithAccessToProtectedBranch() (2019-09-13)
-         */
-        listAppsWithAccessToProtectedBranch: {
-            (params?: RequestParameters & ReposListAppsWithAccessToProtectedBranchParams): Promise<OctokitResponse<ReposListAppsWithAccessToProtectedBranchResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listAssetsForRelease: {
-            (params?: RequestParameters & ReposListAssetsForReleaseParams): Promise<OctokitResponse<ReposListAssetsForReleaseResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listBranches: {
-            (params?: RequestParameters & ReposListBranchesParams): Promise<OctokitResponse<ReposListBranchesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Returns all branches where the given commit SHA is the HEAD, or latest commit for the branch.
-         */
-        listBranchesForHeadCommit: {
-            (params?: RequestParameters & ReposListBranchesForHeadCommitParams): Promise<OctokitResponse<ReposListBranchesForHeadCommitResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * For organization-owned repositories, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners.
-         *
-         * Team members will include the members of child teams.
-         */
-        listCollaborators: {
-            (params?: RequestParameters & ReposListCollaboratorsParams): Promise<OctokitResponse<ReposListCollaboratorsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Use the `:commit_sha` to specify the commit that will have its comments listed.
-         */
-        listCommentsForCommit: {
-            (params?: RequestParameters & ReposListCommentsForCommitParamsDeprecatedRef): Promise<OctokitResponse<ReposListCommentsForCommitResponse>>;
-            (params?: RequestParameters & ReposListCommentsForCommitParams): Promise<OctokitResponse<ReposListCommentsForCommitResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Commit Comments use [these custom media types](https://developer.github.com/v3/repos/comments/#custom-media-types). You can read more about the use of media types in the API [here](https://developer.github.com/v3/media/).
-         *
-         * Comments are ordered by ascending ID.
-         */
-        listCommitComments: {
-            (params?: RequestParameters & ReposListCommitCommentsParams): Promise<OctokitResponse<ReposListCommitCommentsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Signature verification object**
-         *
-         * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-         *
-         * These are the possible values for `reason` in the `verification` object:
-         *
-         * | Value                    | Description                                                                                                                       |
-         * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-         * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-         * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-         * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-         * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-         * | `unsigned`               | The object does not include a signature.                                                                                          |
-         * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-         * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-         * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-         * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-         * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-         * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-         * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-         * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-         */
-        listCommits: {
-            (params?: RequestParameters & ReposListCommitsParams): Promise<OctokitResponse<ReposListCommitsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists contributors to the specified repository and sorts them by the number of commits per contributor in descending order. This endpoint may return information that is a few hours old because the GitHub REST API v3 caches contributor data to improve performance.
-         *
-         * GitHub identifies contributors by author email address. This endpoint groups contribution counts by GitHub user, which includes all associated email addresses. To improve performance, only the first 500 author email addresses in the repository link to GitHub users. The rest will appear as anonymous contributors without associated GitHub user information.
-         */
-        listContributors: {
-            (params?: RequestParameters & ReposListContributorsParams): Promise<OctokitResponse<ReposListContributorsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listDeployKeys: {
-            (params?: RequestParameters & ReposListDeployKeysParams): Promise<OctokitResponse<ReposListDeployKeysResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with pull access can view deployment statuses for a deployment:
-         */
-        listDeploymentStatuses: {
-            (params?: RequestParameters & ReposListDeploymentStatusesParams): Promise<OctokitResponse<ReposListDeploymentStatusesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Simple filtering of deployments is available via query parameters:
-         */
-        listDeployments: {
-            (params?: RequestParameters & ReposListDeploymentsParams): Promise<OctokitResponse<ReposListDeploymentsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listDownloads: {
-            (params?: RequestParameters & ReposListDownloadsParams): Promise<OctokitResponse<ReposListDownloadsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists repositories for the specified organization.
-         */
-        listForOrg: {
-            (params?: RequestParameters & ReposListForOrgParams): Promise<OctokitResponse<ReposListForOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists public repositories for the specified user.
-         */
-        listForUser: {
-            (params?: RequestParameters & ReposListForUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        listForks: {
-            (params?: RequestParameters & ReposListForksParams): Promise<OctokitResponse<ReposListForksResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listHooks: {
-            (params?: RequestParameters & ReposListHooksParams): Promise<OctokitResponse<ReposListHooksResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * When authenticating as a user with admin rights to a repository, this endpoint will list all currently open repository invitations.
-         */
-        listInvitations: {
-            (params?: RequestParameters & ReposListInvitationsParams): Promise<OctokitResponse<ReposListInvitationsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * When authenticating as a user, this endpoint will list all currently open repository invitations for that user.
-         */
-        listInvitationsForAuthenticatedUser: {
-            (params?: RequestParameters & ReposListInvitationsForAuthenticatedUserParams): Promise<OctokitResponse<ReposListInvitationsForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists languages for the specified repository. The value shown for each language is the number of bytes of code written in that language.
-         */
-        listLanguages: {
-            (params?: RequestParameters & ReposListLanguagesParams): Promise<OctokitResponse<ReposListLanguagesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listPagesBuilds: {
-            (params?: RequestParameters & ReposListPagesBuildsParams): Promise<OctokitResponse<ReposListPagesBuildsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        listProtectedBranchRequiredStatusChecksContexts: {
-            (params?: RequestParameters & ReposListProtectedBranchRequiredStatusChecksContextsParams): Promise<OctokitResponse<ReposListProtectedBranchRequiredStatusChecksContextsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists the teams who have push access to this branch. The list includes child teams.
-         * @deprecated octokit.repos.listProtectedBranchTeamRestrictions() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-09)
-         */
-        listProtectedBranchTeamRestrictions: {
-            (params?: RequestParameters & ReposListProtectedBranchTeamRestrictionsParams): Promise<OctokitResponse<ReposListProtectedBranchTeamRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists the people who have push access to this branch.
-         * @deprecated octokit.repos.listProtectedBranchUserRestrictions() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-09)
-         */
-        listProtectedBranchUserRestrictions: {
-            (params?: RequestParameters & ReposListProtectedBranchUserRestrictionsParams): Promise<OctokitResponse<ReposListProtectedBranchUserRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all public repositories in the order that they were created.
-         *
-         * Note: Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of repositories.
-         */
-        listPublic: {
-            (params?: RequestParameters & ReposListPublicParams): Promise<OctokitResponse<ReposListPublicResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all pull requests containing the provided commit SHA, which can be from any point in the commit history. The results will include open and closed pull requests. Additional preview headers may be required to see certain details for associated pull requests, such as whether a pull request is in a draft state. For more information about previews that might affect this endpoint, see the [List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests) endpoint.
-         */
-        listPullRequestsAssociatedWithCommit: {
-            (params?: RequestParameters & ReposListPullRequestsAssociatedWithCommitParams): Promise<OctokitResponse<ReposListPullRequestsAssociatedWithCommitResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This returns a list of releases, which does not include regular Git tags that have not been associated with a release. To get a list of Git tags, use the [Repository Tags API](https://developer.github.com/v3/repos/#list-tags).
-         *
-         * Information about published releases are available to everyone. Only users with push access will receive listings for draft releases.
-         */
-        listReleases: {
-            (params?: RequestParameters & ReposListReleasesParams): Promise<OctokitResponse<ReposListReleasesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with pull access in a repository can view commit statuses for a given ref. The ref can be a SHA, a branch name, or a tag name. Statuses are returned in reverse chronological order. The first status in the list will be the latest one.
-         *
-         * This resource is also available via a legacy route: `GET /repos/:owner/:repo/statuses/:ref`.
-         */
-        listStatusesForRef: {
-            (params?: RequestParameters & ReposListStatusesForRefParams): Promise<OctokitResponse<ReposListStatusesForRefResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listTags: {
-            (params?: RequestParameters & ReposListTagsParams): Promise<OctokitResponse<ReposListTagsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listTeams: {
-            (params?: RequestParameters & ReposListTeamsParams): Promise<OctokitResponse<ReposListTeamsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists the teams who have push access to this branch. The list includes child teams.
-         * @deprecated octokit.repos.listTeamsWithAccessToProtectedBranch() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-13)
-         */
-        listTeamsWithAccessToProtectedBranch: {
-            (params?: RequestParameters & ReposListTeamsWithAccessToProtectedBranchParams): Promise<OctokitResponse<ReposListTeamsWithAccessToProtectedBranchResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listTopics: {
-            (params?: RequestParameters & ReposListTopicsParams): Promise<OctokitResponse<ReposListTopicsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Lists the people who have push access to this branch.
-         * @deprecated octokit.repos.listUsersWithAccessToProtectedBranch() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-13)
-         */
-        listUsersWithAccessToProtectedBranch: {
-            (params?: RequestParameters & ReposListUsersWithAccessToProtectedBranchParams): Promise<OctokitResponse<ReposListUsersWithAccessToProtectedBranchResponse>>;
-            endpoint: EndpointInterface;
-        };
-        merge: {
-            (params?: RequestParameters & ReposMergeParams): Promise<OctokitResponse<ReposMergeResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This will trigger a [ping event](https://developer.github.com/webhooks/#ping-event) to be sent to the hook.
-         */
-        pingHook: {
-            (params?: RequestParameters & ReposPingHookParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        removeBranchProtection: {
-            (params?: RequestParameters & ReposRemoveBranchProtectionParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        removeCollaborator: {
-            (params?: RequestParameters & ReposRemoveCollaboratorParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        removeDeployKey: {
-            (params?: RequestParameters & ReposRemoveDeployKeyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Removing admin enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
-         */
-        removeProtectedBranchAdminEnforcement: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchAdminEnforcementParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Removes the ability of an app to push to this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-         *
-         * | Type    | Description                                                                                                                                                |
-         * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
-         * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        removeProtectedBranchAppRestrictions: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchAppRestrictionsParams): Promise<OctokitResponse<ReposRemoveProtectedBranchAppRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        removeProtectedBranchPullRequestReviewEnforcement: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchPullRequestReviewEnforcementParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * When authenticated with admin or owner permissions to the repository, you can use this endpoint to disable required signed commits on a branch. You must enable branch protection to require signed commits.
-         */
-        removeProtectedBranchRequiredSignatures: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchRequiredSignaturesParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        removeProtectedBranchRequiredStatusChecks: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchRequiredStatusChecksParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        removeProtectedBranchRequiredStatusChecksContexts: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchRequiredStatusChecksContextsParams): Promise<OctokitResponse<ReposRemoveProtectedBranchRequiredStatusChecksContextsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Disables the ability to restrict who can push to this branch.
-         */
-        removeProtectedBranchRestrictions: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchRestrictionsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Removes the ability of a team to push to this branch. You can also remove push access for child teams.
-         *
-         * | Type    | Description                                                                                                                                         |
-         * | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------- |
-         * | `array` | Teams that should no longer have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        removeProtectedBranchTeamRestrictions: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchTeamRestrictionsParams): Promise<OctokitResponse<ReposRemoveProtectedBranchTeamRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Removes the ability of a user to push to this branch.
-         *
-         * | Type    | Description                                                                                                                                   |
-         * | ------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
-         * | `array` | Usernames of the people who should no longer have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        removeProtectedBranchUserRestrictions: {
-            (params?: RequestParameters & ReposRemoveProtectedBranchUserRestrictionsParams): Promise<OctokitResponse<ReposRemoveProtectedBranchUserRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Replaces the list of apps that have push access to this branch. This removes all apps that previously had push access and grants push access to the new list of apps. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-         *
-         * | Type    | Description                                                                                                                                                |
-         * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
-         * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        replaceProtectedBranchAppRestrictions: {
-            (params?: RequestParameters & ReposReplaceProtectedBranchAppRestrictionsParams): Promise<OctokitResponse<ReposReplaceProtectedBranchAppRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         */
-        replaceProtectedBranchRequiredStatusChecksContexts: {
-            (params?: RequestParameters & ReposReplaceProtectedBranchRequiredStatusChecksContextsParams): Promise<OctokitResponse<ReposReplaceProtectedBranchRequiredStatusChecksContextsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Replaces the list of teams that have push access to this branch. This removes all teams that previously had push access and grants push access to the new list of teams. Team restrictions include child teams.
-         *
-         * | Type    | Description                                                                                                                                |
-         * | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
-         * | `array` | The teams that can have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        replaceProtectedBranchTeamRestrictions: {
-            (params?: RequestParameters & ReposReplaceProtectedBranchTeamRestrictionsParams): Promise<OctokitResponse<ReposReplaceProtectedBranchTeamRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Replaces the list of people that have push access to this branch. This removes all people that previously had push access and grants push access to the new list of people.
-         *
-         * | Type    | Description                                                                                                                   |
-         * | ------- | ----------------------------------------------------------------------------------------------------------------------------- |
-         * | `array` | Usernames for people who can have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-         */
-        replaceProtectedBranchUserRestrictions: {
-            (params?: RequestParameters & ReposReplaceProtectedBranchUserRestrictionsParams): Promise<OctokitResponse<ReposReplaceProtectedBranchUserRestrictionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        replaceTopics: {
-            (params?: RequestParameters & ReposReplaceTopicsParams): Promise<OctokitResponse<ReposReplaceTopicsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * You can request that your site be built from the latest revision on the default branch. This has the same effect as pushing a commit to your default branch, but does not require an additional commit. Manually triggering page builds can be helpful when diagnosing build warnings and failures.
-         *
-         * Build requests are limited to one concurrent build per repository and one concurrent build per requester. If you request a build while another is still in progress, the second request will be queued until the first completes.
-         */
-        requestPageBuild: {
-            (params?: RequestParameters & ReposRequestPageBuildParams): Promise<OctokitResponse<ReposRequestPageBuildResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint will return all community profile metrics, including an overall health score, repository description, the presence of documentation, detected code of conduct, detected license, and the presence of ISSUE\_TEMPLATE, PULL\_REQUEST\_TEMPLATE, README, and CONTRIBUTING files.
-         */
-        retrieveCommunityProfileMetrics: {
-            (params?: RequestParameters & ReposRetrieveCommunityProfileMetricsParams): Promise<OctokitResponse<ReposRetrieveCommunityProfileMetricsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This will trigger the hook with the latest push to the current repository if the hook is subscribed to `push` events. If the hook is not subscribed to `push` events, the server will respond with 204 but no test POST will be generated.
-         *
-         * **Note**: Previously `/repos/:owner/:repo/hooks/:hook_id/test`
-         */
-        testPushHook: {
-            (params?: RequestParameters & ReposTestPushHookParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * A transfer request will need to be accepted by the new owner when transferring a personal repository to another user. The response will contain the original `owner`, and the transfer will continue asynchronously. For more details on the requirements to transfer personal and organization-owned repositories, see [about repository transfers](https://help.github.com/articles/about-repository-transfers/).
-         */
-        transfer: {
-            (params?: RequestParameters & ReposTransferParams): Promise<OctokitResponse<ReposTransferResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: To edit a repository's topics, use the [`topics` endpoint](https://developer.github.com/v3/repos/#replace-all-topics-for-a-repository).
-         */
-        update: {
-            (params?: RequestParameters & ReposUpdateParams): Promise<OctokitResponse<ReposUpdateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Protecting a branch requires admin or owner permissions to the repository.
-         *
-         * **Note**: Passing new arrays of `users` and `teams` replaces their previous values.
-         *
-         * **Note**: The list of users, apps, and teams in total is limited to 100 items.
-         */
-        updateBranchProtection: {
-            (params?: RequestParameters & ReposUpdateBranchProtectionParams): Promise<OctokitResponse<ReposUpdateBranchProtectionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateCommitComment: {
-            (params?: RequestParameters & ReposUpdateCommitCommentParams): Promise<OctokitResponse<ReposUpdateCommitCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new file or updates an existing file in a repository.
-         * @deprecated octokit.repos.updateFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)
-         */
-        updateFile: {
-            (params?: RequestParameters & ReposUpdateFileParams): Promise<OctokitResponse<ReposUpdateFileResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateHook: {
-            (params?: RequestParameters & ReposUpdateHookParams): Promise<OctokitResponse<ReposUpdateHookResponse>>;
-            endpoint: EndpointInterface;
-        };
-        updateInformationAboutPagesSite: {
-            (params?: RequestParameters & ReposUpdateInformationAboutPagesSiteParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        updateInvitation: {
-            (params?: RequestParameters & ReposUpdateInvitationParams): Promise<OctokitResponse<ReposUpdateInvitationResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Updating pull request review enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
-         *
-         * **Note**: Passing new arrays of `users` and `teams` replaces their previous values.
-         */
-        updateProtectedBranchPullRequestReviewEnforcement: {
-            (params?: RequestParameters & ReposUpdateProtectedBranchPullRequestReviewEnforcementParams): Promise<OctokitResponse<ReposUpdateProtectedBranchPullRequestReviewEnforcementResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Updating required status checks requires admin or owner permissions to the repository and branch protection to be enabled.
-         */
-        updateProtectedBranchRequiredStatusChecks: {
-            (params?: RequestParameters & ReposUpdateProtectedBranchRequiredStatusChecksParams): Promise<OctokitResponse<ReposUpdateProtectedBranchRequiredStatusChecksResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with push access to the repository can edit a release.
-         */
-        updateRelease: {
-            (params?: RequestParameters & ReposUpdateReleaseParams): Promise<OctokitResponse<ReposUpdateReleaseResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Users with push access to the repository can edit a release asset.
-         */
-        updateReleaseAsset: {
-            (params?: RequestParameters & ReposUpdateReleaseAssetParams): Promise<OctokitResponse<ReposUpdateReleaseAssetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint makes use of [a Hypermedia relation](https://developer.github.com/v3/#hypermedia) to determine which URL to access. The endpoint you call to upload release assets is specific to your release. Use the `upload_url` returned in the response of the [Create a release endpoint](https://developer.github.com/v3/repos/releases/#create-a-release) to upload a release asset.
-         *
-         * You need to use an HTTP client which supports [SNI](http://en.wikipedia.org/wiki/Server_Name_Indication) to make calls to this endpoint.
-         *
-         * Most libraries will set the required `Content-Length` header automatically. Use the required `Content-Type` header to provide the media type of the asset. For a list of media types, see [Media Types](https://www.iana.org/assignments/media-types/media-types.xhtml). For example:
-         *
-         * `application/zip`
-         *
-         * GitHub expects the asset data in its raw binary form, rather than JSON. You will send the raw binary content of the asset as the request body. Everything else about the endpoint is the same as the rest of the API. For example, you'll still need to pass your authentication to be able to upload an asset.
-         */
-        uploadReleaseAsset: {
-            (params?: RequestParameters & ReposUploadReleaseAssetParamsDeprecatedFile): Promise<OctokitResponse<ReposUploadReleaseAssetResponse>>;
-            (params?: RequestParameters & ReposUploadReleaseAssetParams): Promise<OctokitResponse<ReposUploadReleaseAssetResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    search: {
-        /**
-         * Find file contents via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-         *
-         * When searching for code, you can get text match metadata for the file **content** and file **path** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-         *
-         * **Note:** You must [authenticate](https://developer.github.com/v3/#authentication) to search for code across all public repositories.
-         *
-         * **Considerations for code search**
-         *
-         * Due to the complexity of searching code, there are a few restrictions on how searches are performed:
-         *
-         * *   Only the _default branch_ is considered. In most cases, this will be the `master` branch.
-         * *   Only files smaller than 384 KB are searchable.
-         * *   You must always include at least one search term when searching source code. For example, searching for [`language:go`](https://github.com/search?utf8=%E2%9C%93&q=language%3Ago&type=Code) is not valid, while [`amazing language:go`](https://github.com/search?utf8=%E2%9C%93&q=amazing+language%3Ago&type=Code) is.
-         *
-         * Suppose you want to find the definition of the `addClass` function inside [jQuery](https://github.com/jquery/jquery). Your query would look something like this:
-         *
-         * Here, we're searching for the keyword `addClass` within a file's contents. We're making sure that we're only looking in files where the language is JavaScript. And we're scoping the search to the `repo:jquery/jquery` repository.
-         */
-        code: {
-            (params?: RequestParameters & SearchCodeParams): Promise<OctokitResponse<SearchCodeResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find commits via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-         *
-         * When searching for commits, you can get text match metadata for the **message** field when you provide the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-         *
-         * **Considerations for commit search**
-         *
-         * Only the _default branch_ is considered. In most cases, this will be the `master` branch.
-         *
-         * Suppose you want to find commits related to CSS in the [octocat/Spoon-Knife](https://github.com/octocat/Spoon-Knife) repository. Your query would look something like this:
-         */
-        commits: {
-            (params?: RequestParameters & SearchCommitsParams): Promise<OctokitResponse<SearchCommitsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This API call is added for compatibility reasons only. There's no guarantee that full email searches will always be available. The `@` character in the address must be left unencoded. Searches only against public email addresses (as configured on the user's GitHub profile).
-         * @deprecated octokit.search.emailLegacy() is deprecated, see https://developer.github.com/v3/search/legacy/#email-search
-         */
-        emailLegacy: {
-            (params?: RequestParameters & SearchEmailLegacyParams): Promise<OctokitResponse<SearchEmailLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find issues by state and keyword. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-         *
-         * When searching for issues, you can get text match metadata for the issue **title**, issue **body**, and issue **comment body** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-         *
-         * Let's say you want to find the oldest unresolved Python bugs on Windows. Your query might look something like this.
-         *
-         * In this query, we're searching for the keyword `windows`, within any open issue that's labeled as `bug`. The search runs across repositories whose primary language is Python. We’re sorting by creation date in ascending order, so that the oldest issues appear first in the search results.
-         * @deprecated octokit.search.issues() has been renamed to octokit.search.issuesAndPullRequests() (2018-12-27)
-         */
-        issues: {
-            (params?: RequestParameters & SearchIssuesParams): Promise<OctokitResponse<SearchIssuesResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find issues by state and keyword. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-         *
-         * When searching for issues, you can get text match metadata for the issue **title**, issue **body**, and issue **comment body** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-         *
-         * Let's say you want to find the oldest unresolved Python bugs on Windows. Your query might look something like this.
-         *
-         * In this query, we're searching for the keyword `windows`, within any open issue that's labeled as `bug`. The search runs across repositories whose primary language is Python. We’re sorting by creation date in ascending order, so that the oldest issues appear first in the search results.
-         */
-        issuesAndPullRequests: {
-            (params?: RequestParameters & SearchIssuesAndPullRequestsParams): Promise<OctokitResponse<SearchIssuesAndPullRequestsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find issues by state and keyword.
-         * @deprecated octokit.search.issuesLegacy() is deprecated, see https://developer.github.com/v3/search/legacy/#search-issues
-         */
-        issuesLegacy: {
-            (params?: RequestParameters & SearchIssuesLegacyParams): Promise<OctokitResponse<SearchIssuesLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find labels in a repository with names or descriptions that match search keywords. Returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-         *
-         * When searching for labels, you can get text match metadata for the label **name** and **description** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-         *
-         * Suppose you want to find labels in the `linguist` repository that match `bug`, `defect`, or `enhancement`. Your query might look like this:
-         *
-         * The labels that best match for the query appear first in the search results.
-         */
-        labels: {
-            (params?: RequestParameters & SearchLabelsParams): Promise<OctokitResponse<SearchLabelsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find repositories via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-         *
-         * When searching for repositories, you can get text match metadata for the **name** and **description** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-         *
-         * Suppose you want to search for popular Tetris repositories written in Assembly. Your query might look like this.
-         *
-         * You can search for multiple topics by adding more `topic:` instances, and including the `mercy-preview` header. For example:
-         *
-         * In this request, we're searching for repositories with the word `tetris` in the name, the description, or the README. We're limiting the results to only find repositories where the primary language is Assembly. We're sorting by stars in descending order, so that the most popular repositories appear first in the search results.
-         */
-        repos: {
-            (params?: RequestParameters & SearchReposParams): Promise<OctokitResponse<SearchReposResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find repositories by keyword. Note, this legacy method does not follow the v3 pagination pattern. This method returns up to 100 results per page and pages can be fetched using the `start_page` parameter.
-         * @deprecated octokit.search.reposLegacy() is deprecated, see https://developer.github.com/v3/search/legacy/#search-repositories
-         */
-        reposLegacy: {
-            (params?: RequestParameters & SearchReposLegacyParams): Promise<OctokitResponse<SearchReposLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find topics via various criteria. Results are sorted by best match. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-         *
-         * When searching for topics, you can get text match metadata for the topic's **short\_description**, **description**, **name**, or **display\_name** field when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-         *
-         * See "[Searching topics](https://help.github.com/articles/searching-topics/)" for a detailed list of qualifiers.
-         *
-         * Suppose you want to search for topics related to Ruby that are featured on [https://github.com/topics](https://github.com/topics). Your query might look like this:
-         *
-         * In this request, we're searching for topics with the keyword `ruby`, and we're limiting the results to find only topics that are featured. The topics that are the best match for the query appear first in the search results.
-         *
-         * **Note:** A search for featured Ruby topics only has 6 total results, so a [Link header](https://developer.github.com/v3/#link-header) indicating pagination is not included in the response.
-         */
-        topics: {
-            (params?: RequestParameters & SearchTopicsParams): Promise<OctokitResponse<SearchTopicsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find users via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-         *
-         * When searching for users, you can get text match metadata for the issue **login**, **email**, and **name** fields when you pass the `text-match` media type. For more details about highlighting search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata). For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-         *
-         * Imagine you're looking for a list of popular users. You might try out this query:
-         *
-         * Here, we're looking at users with the name Tom. We're only interested in those with more than 42 repositories, and only if they have over 1,000 followers.
-         */
-        users: {
-            (params?: RequestParameters & SearchUsersParams): Promise<OctokitResponse<SearchUsersResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Find users by keyword.
-         * @deprecated octokit.search.usersLegacy() is deprecated, see https://developer.github.com/v3/search/legacy/#search-users
-         */
-        usersLegacy: {
-            (params?: RequestParameters & SearchUsersLegacyParams): Promise<OctokitResponse<SearchUsersLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    teams: {
-        /**
-         * The "Add team member" endpoint (described below) is deprecated.
-         *
-         * We recommend using the [Add team membership](https://developer.github.com/v3/teams/members/#add-or-update-team-membership) endpoint instead. It allows you to invite new organization members to your teams.
-         *
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To add someone to a team, the authenticated user must be an organization owner or a team maintainer in the team they're changing. The person being added to the team must be a member of the team's organization.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         *
-         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         * @deprecated octokit.teams.addMember() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy
-         */
-        addMember: {
-            (params?: RequestParameters & TeamsAddMemberParams): Promise<OctokitResponse<TeamsAddMemberResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The "Add team member" endpoint (described below) is deprecated.
-         *
-         * We recommend using the [Add team membership](https://developer.github.com/v3/teams/members/#add-or-update-team-membership) endpoint instead. It allows you to invite new organization members to your teams.
-         *
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To add someone to a team, the authenticated user must be an organization owner or a team maintainer in the team they're changing. The person being added to the team must be a member of the team's organization.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         *
-         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         * @deprecated octokit.teams.addMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy
-         */
-        addMemberLegacy: {
-            (params?: RequestParameters & TeamsAddMemberLegacyParams): Promise<OctokitResponse<TeamsAddMemberLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team membership`](https://developer.github.com/v3/teams/members/#add-or-update-team-membership) endpoint.
-         *
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * If the user is already a member of the team's organization, this endpoint will add the user to the team. To add a membership between an organization member and a team, the authenticated user must be an organization owner or a team maintainer.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         *
-         * If the user is unaffiliated with the team's organization, this endpoint will send an invitation to the user via email. This newly-created membership will be in the "pending" state until the user accepts the invitation, at which point the membership will transition to the "active" state and the user will be added as a member of the team. To add a membership between an unaffiliated user and a team, the authenticated user must be an organization owner.
-         *
-         * If the user is already a member of the team, this endpoint will update the role of the team member's role. To update the membership of a team member, the authenticated user must be an organization owner or a team maintainer.
-         * @deprecated octokit.teams.addOrUpdateMembership() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy
-         */
-        addOrUpdateMembership: {
-            (params?: RequestParameters & TeamsAddOrUpdateMembershipParams): Promise<OctokitResponse<TeamsAddOrUpdateMembershipResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * Adds an organization member to a team. An authenticated organization owner or team maintainer can add organization members to a team.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         *
-         * An organization owner can add someone who is not part of the team's organization to a team. When an organization owner adds someone to a team who is not an organization member, this endpoint will send an invitation to the person via email. This newly-created membership will be in the "pending" state until the person accepts the invitation, at which point the membership will transition to the "active" state and the user will be added as a member of the team.
-         *
-         * If the user is already a member of the team, this endpoint will update the role of the team member's role. To update the membership of a team member, the authenticated user must be an organization owner or a team maintainer.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/:org_id/team/:team_id/memberships/:username`.
-         */
-        addOrUpdateMembershipInOrg: {
-            (params?: RequestParameters & TeamsAddOrUpdateMembershipInOrgParams): Promise<OctokitResponse<TeamsAddOrUpdateMembershipInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team membership`](https://developer.github.com/v3/teams/members/#add-or-update-team-membership) endpoint.
-         *
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * If the user is already a member of the team's organization, this endpoint will add the user to the team. To add a membership between an organization member and a team, the authenticated user must be an organization owner or a team maintainer.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         *
-         * If the user is unaffiliated with the team's organization, this endpoint will send an invitation to the user via email. This newly-created membership will be in the "pending" state until the user accepts the invitation, at which point the membership will transition to the "active" state and the user will be added as a member of the team. To add a membership between an unaffiliated user and a team, the authenticated user must be an organization owner.
-         *
-         * If the user is already a member of the team, this endpoint will update the role of the team member's role. To update the membership of a team member, the authenticated user must be an organization owner or a team maintainer.
-         * @deprecated octokit.teams.addOrUpdateMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy
-         */
-        addOrUpdateMembershipLegacy: {
-            (params?: RequestParameters & TeamsAddOrUpdateMembershipLegacyParams): Promise<OctokitResponse<TeamsAddOrUpdateMembershipLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team project`](https://developer.github.com/v3/teams/#add-or-update-team-project) endpoint.
-         *
-         * Adds an organization project to a team. To add a project to a team or update the team's permission on a project, the authenticated user must have `admin` permissions for the project. The project and team must be part of the same organization.
-         * @deprecated octokit.teams.addOrUpdateProject() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy
-         */
-        addOrUpdateProject: {
-            (params?: RequestParameters & TeamsAddOrUpdateProjectParams): Promise<OctokitResponse<TeamsAddOrUpdateProjectResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Adds an organization project to a team. To add a project to a team or update the team's permission on a project, the authenticated user must have `admin` permissions for the project. The project and team must be part of the same organization.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/:org_id/team/:team_id/projects/:project_id`.
-         */
-        addOrUpdateProjectInOrg: {
-            (params?: RequestParameters & TeamsAddOrUpdateProjectInOrgParams): Promise<OctokitResponse<TeamsAddOrUpdateProjectInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team project`](https://developer.github.com/v3/teams/#add-or-update-team-project) endpoint.
-         *
-         * Adds an organization project to a team. To add a project to a team or update the team's permission on a project, the authenticated user must have `admin` permissions for the project. The project and team must be part of the same organization.
-         * @deprecated octokit.teams.addOrUpdateProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy
-         */
-        addOrUpdateProjectLegacy: {
-            (params?: RequestParameters & TeamsAddOrUpdateProjectLegacyParams): Promise<OctokitResponse<TeamsAddOrUpdateProjectLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team repository`](https://developer.github.com/v3/teams/#add-or-update-team-repository) endpoint.
-         *
-         * To add a repository to a team or update the team's permission on a repository, the authenticated user must have admin access to the repository, and must be able to see the team. The repository must be owned by the organization, or a direct fork of a repository owned by the organization. You will get a `422 Unprocessable Entity` status if you attempt to add a repository to a team that is not owned by the organization.
-         *
-         * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         * @deprecated octokit.teams.addOrUpdateRepo() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy
-         */
-        addOrUpdateRepo: {
-            (params?: RequestParameters & TeamsAddOrUpdateRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * To add a repository to a team or update the team's permission on a repository, the authenticated user must have admin access to the repository, and must be able to see the team. The repository must be owned by the organization, or a direct fork of a repository owned by the organization. You will get a `422 Unprocessable Entity` status if you attempt to add a repository to a team that is not owned by the organization. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/:org_id/team/:team_id/repos/:owner/:repo`.
-         */
-        addOrUpdateRepoInOrg: {
-            (params?: RequestParameters & TeamsAddOrUpdateRepoInOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team repository`](https://developer.github.com/v3/teams/#add-or-update-team-repository) endpoint.
-         *
-         * To add a repository to a team or update the team's permission on a repository, the authenticated user must have admin access to the repository, and must be able to see the team. The repository must be owned by the organization, or a direct fork of a repository owned by the organization. You will get a `422 Unprocessable Entity` status if you attempt to add a repository to a team that is not owned by the organization.
-         *
-         * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         * @deprecated octokit.teams.addOrUpdateRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy
-         */
-        addOrUpdateRepoLegacy: {
-            (params?: RequestParameters & TeamsAddOrUpdateRepoLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: Repositories inherited through a parent team will also be checked.
-         *
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Check if a team manages a repository`](https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository) endpoint.
-         *
-         * You can also get information about the specified repository, including what permissions the team grants on it, by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-         * @deprecated octokit.teams.checkManagesRepo() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy
-         */
-        checkManagesRepo: {
-            (params?: RequestParameters & TeamsCheckManagesRepoParams): Promise<OctokitResponse<TeamsCheckManagesRepoResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Checks whether a team has `admin`, `push`, or `pull` permission for a repository. Repositories inherited through a parent team will also be checked.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/repos/:owner/:repo`.
-         *
-         * You can also get information about the specified repository, including what permissions the team grants on it, by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-         */
-        checkManagesRepoInOrg: {
-            (params?: RequestParameters & TeamsCheckManagesRepoInOrgParams): Promise<OctokitResponse<TeamsCheckManagesRepoInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note**: Repositories inherited through a parent team will also be checked.
-         *
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Check if a team manages a repository`](https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository) endpoint.
-         *
-         * You can also get information about the specified repository, including what permissions the team grants on it, by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-         * @deprecated octokit.teams.checkManagesRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy
-         */
-        checkManagesRepoLegacy: {
-            (params?: RequestParameters & TeamsCheckManagesRepoLegacyParams): Promise<OctokitResponse<TeamsCheckManagesRepoLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * To create a team, the authenticated user must be a member or owner of `:org`. By default, organization members can create teams. Organization owners can limit team creation to organization owners. For more information, see "[Setting team creation permissions](https://help.github.com/en/articles/setting-team-creation-permissions-in-your-organization)."
-         *
-         * When you create a new team, you automatically become a team maintainer without explicitly adding yourself to the optional array of `maintainers`. For more information, see "[About teams](https://help.github.com/en/github/setting-up-and-managing-organizations-and-teams/about-teams)" in the GitHub Help documentation.
-         */
-        create: {
-            (params?: RequestParameters & TeamsCreateParamsDeprecatedPermission): Promise<OctokitResponse<TeamsCreateResponse>>;
-            (params?: RequestParameters & TeamsCreateParams): Promise<OctokitResponse<TeamsCreateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create a discussion`](https://developer.github.com/v3/teams/discussions/#create-a-discussion) endpoint.
-         *
-         * Creates a new discussion post on a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         * @deprecated octokit.teams.createDiscussion() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy
-         */
-        createDiscussion: {
-            (params?: RequestParameters & TeamsCreateDiscussionParams): Promise<OctokitResponse<TeamsCreateDiscussionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create a comment`](https://developer.github.com/v3/teams/discussion_comments/#create-a-comment) endpoint.
-         *
-         * Creates a new comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         * @deprecated octokit.teams.createDiscussionComment() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy
-         */
-        createDiscussionComment: {
-            (params?: RequestParameters & TeamsCreateDiscussionCommentParams): Promise<OctokitResponse<TeamsCreateDiscussionCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments`.
-         */
-        createDiscussionCommentInOrg: {
-            (params?: RequestParameters & TeamsCreateDiscussionCommentInOrgParams): Promise<OctokitResponse<TeamsCreateDiscussionCommentInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create a comment`](https://developer.github.com/v3/teams/discussion_comments/#create-a-comment) endpoint.
-         *
-         * Creates a new comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         * @deprecated octokit.teams.createDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy
-         */
-        createDiscussionCommentLegacy: {
-            (params?: RequestParameters & TeamsCreateDiscussionCommentLegacyParams): Promise<OctokitResponse<TeamsCreateDiscussionCommentLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Creates a new discussion post on a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions`.
-         */
-        createDiscussionInOrg: {
-            (params?: RequestParameters & TeamsCreateDiscussionInOrgParams): Promise<OctokitResponse<TeamsCreateDiscussionInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create a discussion`](https://developer.github.com/v3/teams/discussions/#create-a-discussion) endpoint.
-         *
-         * Creates a new discussion post on a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-         * @deprecated octokit.teams.createDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy
-         */
-        createDiscussionLegacy: {
-            (params?: RequestParameters & TeamsCreateDiscussionLegacyParams): Promise<OctokitResponse<TeamsCreateDiscussionLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete team`](https://developer.github.com/v3/teams/#delete-team) endpoint.
-         *
-         * To delete a team, the authenticated user must be an organization owner or team maintainer.
-         *
-         * If you are an organization owner, deleting a parent team will delete all of its child teams as well.
-         * @deprecated octokit.teams.delete() is deprecated, see https://developer.github.com/v3/teams/#delete-team-legacy
-         */
-        delete: {
-            (params?: RequestParameters & TeamsDeleteParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete a discussion`](https://developer.github.com/v3/teams/discussions/#delete-a-discussion) endpoint.
-         *
-         * Delete a discussion from a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.deleteDiscussion() is deprecated, see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy
-         */
-        deleteDiscussion: {
-            (params?: RequestParameters & TeamsDeleteDiscussionParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete a comment`](https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment) endpoint.
-         *
-         * Deletes a comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.deleteDiscussionComment() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy
-         */
-        deleteDiscussionComment: {
-            (params?: RequestParameters & TeamsDeleteDiscussionCommentParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Deletes a comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number`.
-         */
-        deleteDiscussionCommentInOrg: {
-            (params?: RequestParameters & TeamsDeleteDiscussionCommentInOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete a comment`](https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment) endpoint.
-         *
-         * Deletes a comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.deleteDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy
-         */
-        deleteDiscussionCommentLegacy: {
-            (params?: RequestParameters & TeamsDeleteDiscussionCommentLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Delete a discussion from a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/discussions/:discussion_number`.
-         */
-        deleteDiscussionInOrg: {
-            (params?: RequestParameters & TeamsDeleteDiscussionInOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete a discussion`](https://developer.github.com/v3/teams/discussions/#delete-a-discussion) endpoint.
-         *
-         * Delete a discussion from a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.deleteDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy
-         */
-        deleteDiscussionLegacy: {
-            (params?: RequestParameters & TeamsDeleteDiscussionLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * To delete a team, the authenticated user must be an organization owner or team maintainer.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id`.
-         *
-         * If you are an organization owner, deleting a parent team will delete all of its child teams as well.
-         */
-        deleteInOrg: {
-            (params?: RequestParameters & TeamsDeleteInOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete team`](https://developer.github.com/v3/teams/#delete-team) endpoint.
-         *
-         * To delete a team, the authenticated user must be an organization owner or team maintainer.
-         *
-         * If you are an organization owner, deleting a parent team will delete all of its child teams as well.
-         * @deprecated octokit.teams.deleteLegacy() is deprecated, see https://developer.github.com/v3/teams/#delete-team-legacy
-         */
-        deleteLegacy: {
-            (params?: RequestParameters & TeamsDeleteLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the [`Get team by name`](https://developer.github.com/v3/teams/#get-team-by-name) endpoint.
-         * @deprecated octokit.teams.get() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy
-         */
-        get: {
-            (params?: RequestParameters & TeamsGetParams): Promise<OctokitResponse<TeamsGetResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Gets a team using the team's `slug`. GitHub generates the `slug` from the team `name`.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id`.
-         */
-        getByName: {
-            (params?: RequestParameters & TeamsGetByNameParams): Promise<OctokitResponse<TeamsGetByNameResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get a single discussion`](https://developer.github.com/v3/teams/discussions/#get-a-single-discussion) endpoint.
-         *
-         * Get a specific discussion on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.getDiscussion() is deprecated, see https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy
-         */
-        getDiscussion: {
-            (params?: RequestParameters & TeamsGetDiscussionParams): Promise<OctokitResponse<TeamsGetDiscussionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get a single comment`](https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment) endpoint.
-         *
-         * Get a specific comment on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.getDiscussionComment() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy
-         */
-        getDiscussionComment: {
-            (params?: RequestParameters & TeamsGetDiscussionCommentParams): Promise<OctokitResponse<TeamsGetDiscussionCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Get a specific comment on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number`.
-         */
-        getDiscussionCommentInOrg: {
-            (params?: RequestParameters & TeamsGetDiscussionCommentInOrgParams): Promise<OctokitResponse<TeamsGetDiscussionCommentInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get a single comment`](https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment) endpoint.
-         *
-         * Get a specific comment on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.getDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy
-         */
-        getDiscussionCommentLegacy: {
-            (params?: RequestParameters & TeamsGetDiscussionCommentLegacyParams): Promise<OctokitResponse<TeamsGetDiscussionCommentLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Get a specific discussion on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number`.
-         */
-        getDiscussionInOrg: {
-            (params?: RequestParameters & TeamsGetDiscussionInOrgParams): Promise<OctokitResponse<TeamsGetDiscussionInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get a single discussion`](https://developer.github.com/v3/teams/discussions/#get-a-single-discussion) endpoint.
-         *
-         * Get a specific discussion on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.getDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy
-         */
-        getDiscussionLegacy: {
-            (params?: RequestParameters & TeamsGetDiscussionLegacyParams): Promise<OctokitResponse<TeamsGetDiscussionLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the [`Get team by name`](https://developer.github.com/v3/teams/#get-team-by-name) endpoint.
-         * @deprecated octokit.teams.getLegacy() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy
-         */
-        getLegacy: {
-            (params?: RequestParameters & TeamsGetLegacyParams): Promise<OctokitResponse<TeamsGetLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The "Get team member" endpoint (described below) is deprecated.
-         *
-         * We recommend using the [Get team membership](https://developer.github.com/v3/teams/members/#get-team-membership) endpoint instead. It allows you to get both active and pending memberships.
-         *
-         * To list members in a team, the team must be visible to the authenticated user.
-         * @deprecated octokit.teams.getMember() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy
-         */
-        getMember: {
-            (params?: RequestParameters & TeamsGetMemberParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The "Get team member" endpoint (described below) is deprecated.
-         *
-         * We recommend using the [Get team membership](https://developer.github.com/v3/teams/members/#get-team-membership) endpoint instead. It allows you to get both active and pending memberships.
-         *
-         * To list members in a team, the team must be visible to the authenticated user.
-         * @deprecated octokit.teams.getMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy
-         */
-        getMemberLegacy: {
-            (params?: RequestParameters & TeamsGetMemberLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get team membership`](https://developer.github.com/v3/teams/members/#get-team-membership) endpoint.
-         *
-         * Team members will include the members of child teams.
-         *
-         * To get a user's membership with a team, the team must be visible to the authenticated user.
-         *
-         * **Note:** The `role` for organization owners returns as `maintainer`. For more information about `maintainer` roles, see [Create team](https://developer.github.com/v3/teams#create-team).
-         * @deprecated octokit.teams.getMembership() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-membership-legacy
-         */
-        getMembership: {
-            (params?: RequestParameters & TeamsGetMembershipParams): Promise<OctokitResponse<TeamsGetMembershipResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Team members will include the members of child teams.
-         *
-         * To get a user's membership with a team, the team must be visible to the authenticated user.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/memberships/:username`.
-         *
-         * **Note:** The `role` for organization owners returns as `maintainer`. For more information about `maintainer` roles, see [Create team](https://developer.github.com/v3/teams#create-team).
-         */
-        getMembershipInOrg: {
-            (params?: RequestParameters & TeamsGetMembershipInOrgParams): Promise<OctokitResponse<TeamsGetMembershipInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get team membership`](https://developer.github.com/v3/teams/members/#get-team-membership) endpoint.
-         *
-         * Team members will include the members of child teams.
-         *
-         * To get a user's membership with a team, the team must be visible to the authenticated user.
-         *
-         * **Note:** The `role` for organization owners returns as `maintainer`. For more information about `maintainer` roles, see [Create team](https://developer.github.com/v3/teams#create-team).
-         * @deprecated octokit.teams.getMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-membership-legacy
-         */
-        getMembershipLegacy: {
-            (params?: RequestParameters & TeamsGetMembershipLegacyParams): Promise<OctokitResponse<TeamsGetMembershipLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all teams in an organization that are visible to the authenticated user.
-         */
-        list: {
-            (params?: RequestParameters & TeamsListParams): Promise<OctokitResponse<TeamsListResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List child teams`](https://developer.github.com/v3/teams/#list-child-teams) endpoint.
-         *
-         *
-         * @deprecated octokit.teams.listChild() is deprecated, see https://developer.github.com/v3/teams/#list-child-teams-legacy
-         */
-        listChild: {
-            (params?: RequestParameters & TeamsListChildParams): Promise<OctokitResponse<TeamsListChildResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the child teams of the team requested by `:team_slug`.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/teams`.
-         */
-        listChildInOrg: {
-            (params?: RequestParameters & TeamsListChildInOrgParams): Promise<OctokitResponse<TeamsListChildInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List child teams`](https://developer.github.com/v3/teams/#list-child-teams) endpoint.
-         *
-         *
-         * @deprecated octokit.teams.listChildLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-child-teams-legacy
-         */
-        listChildLegacy: {
-            (params?: RequestParameters & TeamsListChildLegacyParams): Promise<OctokitResponse<TeamsListChildLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List comments`](https://developer.github.com/v3/teams/discussion_comments/#list-comments) endpoint.
-         *
-         * List all comments on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.listDiscussionComments() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy
-         */
-        listDiscussionComments: {
-            (params?: RequestParameters & TeamsListDiscussionCommentsParams): Promise<OctokitResponse<TeamsListDiscussionCommentsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all comments on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments`.
-         */
-        listDiscussionCommentsInOrg: {
-            (params?: RequestParameters & TeamsListDiscussionCommentsInOrgParams): Promise<OctokitResponse<TeamsListDiscussionCommentsInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List comments`](https://developer.github.com/v3/teams/discussion_comments/#list-comments) endpoint.
-         *
-         * List all comments on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.listDiscussionCommentsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy
-         */
-        listDiscussionCommentsLegacy: {
-            (params?: RequestParameters & TeamsListDiscussionCommentsLegacyParams): Promise<OctokitResponse<TeamsListDiscussionCommentsLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List discussions`](https://developer.github.com/v3/teams/discussions/#list-discussions) endpoint.
-         *
-         * List all discussions on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.listDiscussions() is deprecated, see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy
-         */
-        listDiscussions: {
-            (params?: RequestParameters & TeamsListDiscussionsParams): Promise<OctokitResponse<TeamsListDiscussionsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all discussions on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions`.
-         */
-        listDiscussionsInOrg: {
-            (params?: RequestParameters & TeamsListDiscussionsInOrgParams): Promise<OctokitResponse<TeamsListDiscussionsInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List discussions`](https://developer.github.com/v3/teams/discussions/#list-discussions) endpoint.
-         *
-         * List all discussions on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.listDiscussionsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy
-         */
-        listDiscussionsLegacy: {
-            (params?: RequestParameters & TeamsListDiscussionsLegacyParams): Promise<OctokitResponse<TeamsListDiscussionsLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List all of the teams across all of the organizations to which the authenticated user belongs. This method requires `user`, `repo`, or `read:org` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/) when authenticating via [OAuth](https://developer.github.com/apps/building-oauth-apps/).
-         */
-        listForAuthenticatedUser: {
-            (params?: RequestParameters & TeamsListForAuthenticatedUserParams): Promise<OctokitResponse<TeamsListForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team members`](https://developer.github.com/v3/teams/members/#list-team-members) endpoint.
-         *
-         * Team members will include the members of child teams.
-         * @deprecated octokit.teams.listMembers() is deprecated, see https://developer.github.com/v3/teams/members/#list-team-members-legacy
-         */
-        listMembers: {
-            (params?: RequestParameters & TeamsListMembersParams): Promise<OctokitResponse<TeamsListMembersResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Team members will include the members of child teams.
-         *
-         * To list members in a team, the team must be visible to the authenticated user.
-         */
-        listMembersInOrg: {
-            (params?: RequestParameters & TeamsListMembersInOrgParams): Promise<OctokitResponse<TeamsListMembersInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team members`](https://developer.github.com/v3/teams/members/#list-team-members) endpoint.
-         *
-         * Team members will include the members of child teams.
-         * @deprecated octokit.teams.listMembersLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-team-members-legacy
-         */
-        listMembersLegacy: {
-            (params?: RequestParameters & TeamsListMembersLegacyParams): Promise<OctokitResponse<TeamsListMembersLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List pending team invitations`](https://developer.github.com/v3/teams/members/#list-pending-team-invitations) endpoint.
-         *
-         * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
-         * @deprecated octokit.teams.listPendingInvitations() is deprecated, see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy
-         */
-        listPendingInvitations: {
-            (params?: RequestParameters & TeamsListPendingInvitationsParams): Promise<OctokitResponse<TeamsListPendingInvitationsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/invitations`.
-         */
-        listPendingInvitationsInOrg: {
-            (params?: RequestParameters & TeamsListPendingInvitationsInOrgParams): Promise<OctokitResponse<TeamsListPendingInvitationsInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List pending team invitations`](https://developer.github.com/v3/teams/members/#list-pending-team-invitations) endpoint.
-         *
-         * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
-         * @deprecated octokit.teams.listPendingInvitationsLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy
-         */
-        listPendingInvitationsLegacy: {
-            (params?: RequestParameters & TeamsListPendingInvitationsLegacyParams): Promise<OctokitResponse<TeamsListPendingInvitationsLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team projects`](https://developer.github.com/v3/teams/#list-team-projects) endpoint.
-         *
-         * Lists the organization projects for a team.
-         * @deprecated octokit.teams.listProjects() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy
-         */
-        listProjects: {
-            (params?: RequestParameters & TeamsListProjectsParams): Promise<OctokitResponse<TeamsListProjectsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the organization projects for a team.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/projects`.
-         */
-        listProjectsInOrg: {
-            (params?: RequestParameters & TeamsListProjectsInOrgParams): Promise<OctokitResponse<TeamsListProjectsInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team projects`](https://developer.github.com/v3/teams/#list-team-projects) endpoint.
-         *
-         * Lists the organization projects for a team.
-         * @deprecated octokit.teams.listProjectsLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy
-         */
-        listProjectsLegacy: {
-            (params?: RequestParameters & TeamsListProjectsLegacyParams): Promise<OctokitResponse<TeamsListProjectsLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team repos`](https://developer.github.com/v3/teams/#list-team-repos) endpoint.
-         * @deprecated octokit.teams.listRepos() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy
-         */
-        listRepos: {
-            (params?: RequestParameters & TeamsListReposParams): Promise<OctokitResponse<TeamsListReposResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists a team's repositories visible to the authenticated user.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/repos`.
-         */
-        listReposInOrg: {
-            (params?: RequestParameters & TeamsListReposInOrgParams): Promise<OctokitResponse<TeamsListReposInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team repos`](https://developer.github.com/v3/teams/#list-team-repos) endpoint.
-         * @deprecated octokit.teams.listReposLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy
-         */
-        listReposLegacy: {
-            (params?: RequestParameters & TeamsListReposLegacyParams): Promise<OctokitResponse<TeamsListReposLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The "Remove team member" endpoint (described below) is deprecated.
-         *
-         * We recommend using the [Remove team membership](https://developer.github.com/v3/teams/members/#remove-team-membership) endpoint instead. It allows you to remove both active and pending memberships.
-         *
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To remove a team member, the authenticated user must have 'admin' permissions to the team or be an owner of the org that the team is associated with. Removing a team member does not delete the user, it just removes them from the team.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         * @deprecated octokit.teams.removeMember() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy
-         */
-        removeMember: {
-            (params?: RequestParameters & TeamsRemoveMemberParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * The "Remove team member" endpoint (described below) is deprecated.
-         *
-         * We recommend using the [Remove team membership](https://developer.github.com/v3/teams/members/#remove-team-membership) endpoint instead. It allows you to remove both active and pending memberships.
-         *
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To remove a team member, the authenticated user must have 'admin' permissions to the team or be an owner of the org that the team is associated with. Removing a team member does not delete the user, it just removes them from the team.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         * @deprecated octokit.teams.removeMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy
-         */
-        removeMemberLegacy: {
-            (params?: RequestParameters & TeamsRemoveMemberLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team membership`](https://developer.github.com/v3/teams/members/#remove-team-membership) endpoint.
-         *
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To remove a membership between a user and a team, the authenticated user must have 'admin' permissions to the team or be an owner of the organization that the team is associated with. Removing team membership does not delete the user, it just removes their membership from the team.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         * @deprecated octokit.teams.removeMembership() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy
-         */
-        removeMembership: {
-            (params?: RequestParameters & TeamsRemoveMembershipParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To remove a membership between a user and a team, the authenticated user must have 'admin' permissions to the team or be an owner of the organization that the team is associated with. Removing team membership does not delete the user, it just removes their membership from the team.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/memberships/:username`.
-         */
-        removeMembershipInOrg: {
-            (params?: RequestParameters & TeamsRemoveMembershipInOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team membership`](https://developer.github.com/v3/teams/members/#remove-team-membership) endpoint.
-         *
-         * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-         *
-         * To remove a membership between a user and a team, the authenticated user must have 'admin' permissions to the team or be an owner of the organization that the team is associated with. Removing team membership does not delete the user, it just removes their membership from the team.
-         *
-         * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-         * @deprecated octokit.teams.removeMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy
-         */
-        removeMembershipLegacy: {
-            (params?: RequestParameters & TeamsRemoveMembershipLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team project`](https://developer.github.com/v3/teams/#remove-team-project) endpoint.
-         *
-         * Removes an organization project from a team. An organization owner or a team maintainer can remove any project from the team. To remove a project from a team as an organization member, the authenticated user must have `read` access to both the team and project, or `admin` access to the team or project. **Note:** This endpoint removes the project from the team, but does not delete it.
-         * @deprecated octokit.teams.removeProject() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy
-         */
-        removeProject: {
-            (params?: RequestParameters & TeamsRemoveProjectParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removes an organization project from a team. An organization owner or a team maintainer can remove any project from the team. To remove a project from a team as an organization member, the authenticated user must have `read` access to both the team and project, or `admin` access to the team or project. This endpoint removes the project from the team, but does not delete the project.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/projects/:project_id`.
-         */
-        removeProjectInOrg: {
-            (params?: RequestParameters & TeamsRemoveProjectInOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team project`](https://developer.github.com/v3/teams/#remove-team-project) endpoint.
-         *
-         * Removes an organization project from a team. An organization owner or a team maintainer can remove any project from the team. To remove a project from a team as an organization member, the authenticated user must have `read` access to both the team and project, or `admin` access to the team or project. **Note:** This endpoint removes the project from the team, but does not delete it.
-         * @deprecated octokit.teams.removeProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy
-         */
-        removeProjectLegacy: {
-            (params?: RequestParameters & TeamsRemoveProjectLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team repository`](https://developer.github.com/v3/teams/#remove-team-repository) endpoint.
-         *
-         * If the authenticated user is an organization owner or a team maintainer, they can remove any repositories from the team. To remove a repository from a team as an organization member, the authenticated user must have admin access to the repository and must be able to see the team. NOTE: This does not delete the repository, it just removes it from the team.
-         * @deprecated octokit.teams.removeRepo() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy
-         */
-        removeRepo: {
-            (params?: RequestParameters & TeamsRemoveRepoParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * If the authenticated user is an organization owner or a team maintainer, they can remove any repositories from the team. To remove a repository from a team as an organization member, the authenticated user must have admin access to the repository and must be able to see the team. This does not delete the repository, it just removes it from the team.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/repos/:owner/:repo`.
-         */
-        removeRepoInOrg: {
-            (params?: RequestParameters & TeamsRemoveRepoInOrgParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team repository`](https://developer.github.com/v3/teams/#remove-team-repository) endpoint.
-         *
-         * If the authenticated user is an organization owner or a team maintainer, they can remove any repositories from the team. To remove a repository from a team as an organization member, the authenticated user must have admin access to the repository and must be able to see the team. NOTE: This does not delete the repository, it just removes it from the team.
-         * @deprecated octokit.teams.removeRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy
-         */
-        removeRepoLegacy: {
-            (params?: RequestParameters & TeamsRemoveRepoLegacyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Review a team project`](https://developer.github.com/v3/teams/#review-a-team-project) endpoint.
-         *
-         * Checks whether a team has `read`, `write`, or `admin` permissions for an organization project. The response includes projects inherited from a parent team.
-         * @deprecated octokit.teams.reviewProject() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy
-         */
-        reviewProject: {
-            (params?: RequestParameters & TeamsReviewProjectParams): Promise<OctokitResponse<TeamsReviewProjectResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Checks whether a team has `read`, `write`, or `admin` permissions for an organization project. The response includes projects inherited from a parent team.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/projects/:project_id`.
-         */
-        reviewProjectInOrg: {
-            (params?: RequestParameters & TeamsReviewProjectInOrgParams): Promise<OctokitResponse<TeamsReviewProjectInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Review a team project`](https://developer.github.com/v3/teams/#review-a-team-project) endpoint.
-         *
-         * Checks whether a team has `read`, `write`, or `admin` permissions for an organization project. The response includes projects inherited from a parent team.
-         * @deprecated octokit.teams.reviewProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy
-         */
-        reviewProjectLegacy: {
-            (params?: RequestParameters & TeamsReviewProjectLegacyParams): Promise<OctokitResponse<TeamsReviewProjectLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit team`](https://developer.github.com/v3/teams/#edit-team) endpoint.
-         *
-         * To edit a team, the authenticated user must either be an organization owner or a team maintainer.
-         *
-         * **Note:** With nested teams, the `privacy` for parent teams cannot be `secret`.
-         * @deprecated octokit.teams.update() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy
-         */
-        update: {
-            (params?: RequestParameters & TeamsUpdateParamsDeprecatedPermission): Promise<OctokitResponse<TeamsUpdateResponse>>;
-            (params?: RequestParameters & TeamsUpdateParams): Promise<OctokitResponse<TeamsUpdateResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit a discussion`](https://developer.github.com/v3/teams/discussions/#edit-a-discussion) endpoint.
-         *
-         * Edits the title and body text of a discussion post. Only the parameters you provide are updated. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.updateDiscussion() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy
-         */
-        updateDiscussion: {
-            (params?: RequestParameters & TeamsUpdateDiscussionParams): Promise<OctokitResponse<TeamsUpdateDiscussionResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit a comment`](https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment) endpoint.
-         *
-         * Edits the body text of a discussion comment. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.updateDiscussionComment() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy
-         */
-        updateDiscussionComment: {
-            (params?: RequestParameters & TeamsUpdateDiscussionCommentParams): Promise<OctokitResponse<TeamsUpdateDiscussionCommentResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Edits the body text of a discussion comment. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number`.
-         */
-        updateDiscussionCommentInOrg: {
-            (params?: RequestParameters & TeamsUpdateDiscussionCommentInOrgParams): Promise<OctokitResponse<TeamsUpdateDiscussionCommentInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit a comment`](https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment) endpoint.
-         *
-         * Edits the body text of a discussion comment. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.updateDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy
-         */
-        updateDiscussionCommentLegacy: {
-            (params?: RequestParameters & TeamsUpdateDiscussionCommentLegacyParams): Promise<OctokitResponse<TeamsUpdateDiscussionCommentLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Edits the title and body text of a discussion post. Only the parameters you provide are updated. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/:org_id/team/:team_id/discussions/:discussion_number`.
-         */
-        updateDiscussionInOrg: {
-            (params?: RequestParameters & TeamsUpdateDiscussionInOrgParams): Promise<OctokitResponse<TeamsUpdateDiscussionInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit a discussion`](https://developer.github.com/v3/teams/discussions/#edit-a-discussion) endpoint.
-         *
-         * Edits the title and body text of a discussion post. Only the parameters you provide are updated. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         * @deprecated octokit.teams.updateDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy
-         */
-        updateDiscussionLegacy: {
-            (params?: RequestParameters & TeamsUpdateDiscussionLegacyParams): Promise<OctokitResponse<TeamsUpdateDiscussionLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * To edit a team, the authenticated user must either be an organization owner or a team maintainer.
-         *
-         * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/:org_id/team/:team_id`.
-         */
-        updateInOrg: {
-            (params?: RequestParameters & TeamsUpdateInOrgParamsDeprecatedPermission): Promise<OctokitResponse<TeamsUpdateInOrgResponse>>;
-            (params?: RequestParameters & TeamsUpdateInOrgParams): Promise<OctokitResponse<TeamsUpdateInOrgResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit team`](https://developer.github.com/v3/teams/#edit-team) endpoint.
-         *
-         * To edit a team, the authenticated user must either be an organization owner or a team maintainer.
-         *
-         * **Note:** With nested teams, the `privacy` for parent teams cannot be `secret`.
-         * @deprecated octokit.teams.updateLegacy() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy
-         */
-        updateLegacy: {
-            (params?: RequestParameters & TeamsUpdateLegacyParamsDeprecatedPermission): Promise<OctokitResponse<TeamsUpdateLegacyResponse>>;
-            (params?: RequestParameters & TeamsUpdateLegacyParams): Promise<OctokitResponse<TeamsUpdateLegacyResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-    users: {
-        /**
-         * This endpoint is accessible with the `user` scope.
-         */
-        addEmails: {
-            (params?: RequestParameters & UsersAddEmailsParams): Promise<OctokitResponse<UsersAddEmailsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        block: {
-            (params?: RequestParameters & UsersBlockParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * If the user is blocked:
-         *
-         * If the user is not blocked:
-         */
-        checkBlocked: {
-            (params?: RequestParameters & UsersCheckBlockedParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        checkFollowing: {
-            (params?: RequestParameters & UsersCheckFollowingParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        checkFollowingForUser: {
-            (params?: RequestParameters & UsersCheckFollowingForUserParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Adds a GPG key to the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth, or OAuth with at least `write:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         */
-        createGpgKey: {
-            (params?: RequestParameters & UsersCreateGpgKeyParams): Promise<OctokitResponse<UsersCreateGpgKeyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Adds a public SSH key to the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth, or OAuth with at least `write:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         */
-        createPublicKey: {
-            (params?: RequestParameters & UsersCreatePublicKeyParams): Promise<OctokitResponse<UsersCreatePublicKeyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * This endpoint is accessible with the `user` scope.
-         */
-        deleteEmails: {
-            (params?: RequestParameters & UsersDeleteEmailsParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removes a GPG key from the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `admin:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         */
-        deleteGpgKey: {
-            (params?: RequestParameters & UsersDeleteGpgKeyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Removes a public SSH key from the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `admin:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         */
-        deletePublicKey: {
-            (params?: RequestParameters & UsersDeletePublicKeyParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-         *
-         * Following a user requires the user to be logged in and authenticated with basic auth or OAuth with the `user:follow` scope.
-         */
-        follow: {
-            (params?: RequestParameters & UsersFollowParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists public and private profile information when authenticated through basic auth or OAuth with the `user` scope.
-         *
-         * Lists public profile information when authenticated through OAuth without the `user` scope.
-         */
-        getAuthenticated: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<UsersGetAuthenticatedResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Provides publicly available information about someone with a GitHub account.
-         *
-         * GitHub Apps with the `Plan` user permission can use this endpoint to retrieve information about a user's GitHub plan. The GitHub App must be authenticated as a user. See "[Identifying and authorizing users for GitHub Apps](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/)" for details about authentication. For an example response, see "[Response with GitHub plan information](https://developer.github.com/v3/users/#response-with-github-plan-information)."
-         *
-         * The `email` key in the following response is the publicly visible email address from your GitHub [profile page](https://github.com/settings/profile). When setting up your profile, you can select a primary email address to be “public” which provides an email entry for this endpoint. If you do not set a public email address for `email`, then it will have a value of `null`. You only see publicly visible email addresses when authenticated with GitHub. For more information, see [Authentication](https://developer.github.com/v3/#authentication).
-         *
-         * The Emails API enables you to list all of your email addresses, and toggle a primary email to be visible publicly. For more information, see "[Emails API](https://developer.github.com/v3/users/emails/)".
-         */
-        getByUsername: {
-            (params?: RequestParameters & UsersGetByUsernameParams): Promise<OctokitResponse<UsersGetByUsernameResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Provides hovercard information when authenticated through basic auth or OAuth with the `repo` scope. You can find out more about someone in relation to their pull requests, issues, repositories, and organizations.
-         *
-         * The `subject_type` and `subject_id` parameters provide context for the person's hovercard, which returns more information than without the parameters. For example, if you wanted to find out more about `octocat` who owns the `Spoon-Knife` repository via cURL, it would look like this:
-         */
-        getContextForUser: {
-            (params?: RequestParameters & UsersGetContextForUserParams): Promise<OctokitResponse<UsersGetContextForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * View extended details for a single GPG key. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         */
-        getGpgKey: {
-            (params?: RequestParameters & UsersGetGpgKeyParams): Promise<OctokitResponse<UsersGetGpgKeyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * View extended details for a single public SSH key. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         */
-        getPublicKey: {
-            (params?: RequestParameters & UsersGetPublicKeyParams): Promise<OctokitResponse<UsersGetPublicKeyResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all users, in the order that they signed up on GitHub. This list includes personal user accounts and organization accounts.
-         *
-         * Note: Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of users.
-         */
-        list: {
-            (params?: RequestParameters & UsersListParams): Promise<OctokitResponse<UsersListResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * List the users you've blocked on your personal account.
-         */
-        listBlocked: {
-            (params?: RequestParameters & EmptyParams): Promise<OctokitResponse<UsersListBlockedResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists all of your email addresses, and specifies which one is visible to the public. This endpoint is accessible with the `user:email` scope.
-         */
-        listEmails: {
-            (params?: RequestParameters & UsersListEmailsParams): Promise<OctokitResponse<UsersListEmailsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listFollowersForAuthenticatedUser: {
-            (params?: RequestParameters & UsersListFollowersForAuthenticatedUserParams): Promise<OctokitResponse<UsersListFollowersForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listFollowersForUser: {
-            (params?: RequestParameters & UsersListFollowersForUserParams): Promise<OctokitResponse<UsersListFollowersForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listFollowingForAuthenticatedUser: {
-            (params?: RequestParameters & UsersListFollowingForAuthenticatedUserParams): Promise<OctokitResponse<UsersListFollowingForAuthenticatedUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        listFollowingForUser: {
-            (params?: RequestParameters & UsersListFollowingForUserParams): Promise<OctokitResponse<UsersListFollowingForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the current user's GPG keys. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         */
-        listGpgKeys: {
-            (params?: RequestParameters & UsersListGpgKeysParams): Promise<OctokitResponse<UsersListGpgKeysResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the GPG keys for a user. This information is accessible by anyone.
-         */
-        listGpgKeysForUser: {
-            (params?: RequestParameters & UsersListGpgKeysForUserParams): Promise<OctokitResponse<UsersListGpgKeysForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists your publicly visible email address, which you can set with the [Toggle primary email visibility](https://developer.github.com/v3/users/emails/#toggle-primary-email-visibility) endpoint. This endpoint is accessible with the `user:email` scope.
-         */
-        listPublicEmails: {
-            (params?: RequestParameters & UsersListPublicEmailsParams): Promise<OctokitResponse<UsersListPublicEmailsResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the public SSH keys for the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-         */
-        listPublicKeys: {
-            (params?: RequestParameters & UsersListPublicKeysParams): Promise<OctokitResponse<UsersListPublicKeysResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Lists the _verified_ public SSH keys for a user. This is accessible by anyone.
-         */
-        listPublicKeysForUser: {
-            (params?: RequestParameters & UsersListPublicKeysForUserParams): Promise<OctokitResponse<UsersListPublicKeysForUserResponse>>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Sets the visibility for your primary email addresses.
-         */
-        togglePrimaryEmailVisibility: {
-            (params?: RequestParameters & UsersTogglePrimaryEmailVisibilityParams): Promise<OctokitResponse<UsersTogglePrimaryEmailVisibilityResponse>>;
-            endpoint: EndpointInterface;
-        };
-        unblock: {
-            (params?: RequestParameters & UsersUnblockParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * Unfollowing a user requires the user to be logged in and authenticated with basic auth or OAuth with the `user:follow` scope.
-         */
-        unfollow: {
-            (params?: RequestParameters & UsersUnfollowParams): Promise<AnyResponse>;
-            endpoint: EndpointInterface;
-        };
-        /**
-         * **Note:** If your email is set to private and you send an `email` parameter as part of this request to update your profile, your privacy settings are still enforced: the email address will not be displayed on your public profile or via the API.
-         */
-        updateAuthenticated: {
-            (params?: RequestParameters & UsersUpdateAuthenticatedParams): Promise<OctokitResponse<UsersUpdateAuthenticatedResponse>>;
-            endpoint: EndpointInterface;
-        };
-    };
-};
-export {};
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/index.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/index.d.ts
index 454dd5ef6..455e99898 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/index.d.ts
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/index.d.ts
@@ -1,4 +1,5 @@
 import { Octokit } from "@octokit/core";
+export { RestEndpointMethodTypes } from "./generated/parameters-and-response-types";
 import { Api } from "./types";
 /**
  * This plugin is a 1:1 copy of internal @octokit/rest plugins. The primary
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/register-endpoints.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/register-endpoints.d.ts
deleted file mode 100644
index b80dde0a3..000000000
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/register-endpoints.d.ts
+++ /dev/null
@@ -1 +0,0 @@
-export declare function registerEndpoints(octokit: any, routes: any): void;
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/types.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/types.d.ts
index 4cabd9f5c..e9b177b40 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/types.d.ts
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/types.d.ts
@@ -1,4 +1,16 @@
-import { RestEndpointMethods } from "./generated/rest-endpoint-methods-types";
-export declare type Api = {
-    registerEndpoints: (endpoints: any) => void;
-} & RestEndpointMethods;
+import { Route, RequestParameters } from "@octokit/types";
+import { RestEndpointMethods } from "./generated/method-types";
+export declare type Api = RestEndpointMethods;
+export declare type EndpointDecorations = {
+    mapToData?: string;
+    deprecated?: string;
+    renamed?: [string, string];
+    renamedParameters?: {
+        [name: string]: string;
+    };
+};
+export declare type EndpointsDefaultsAndDecorations = {
+    [scope: string]: {
+        [methodName: string]: [Route, RequestParameters?, EndpointDecorations?];
+    };
+};
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/version.d.ts b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/version.d.ts
index d1c6894db..14e1dd5c0 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/version.d.ts
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-types/version.d.ts
@@ -1 +1 @@
-export declare const VERSION = "2.4.0";
+export declare const VERSION = "4.1.2";
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-web/index.js b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-web/index.js
index b6b0f1c36..e634e7766 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-web/index.js
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-web/index.js
@@ -1,6690 +1,1298 @@
-import { Deprecation } from 'deprecation';
-
-var endpointsByScope = {
+const Endpoints = {
     actions: {
-        cancelWorkflowRun: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/cancel"
-        },
-        createOrUpdateSecretForRepo: {
-            method: "PUT",
-            params: {
-                encrypted_value: { type: "string" },
-                key_id: { type: "string" },
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets/:name"
-        },
-        createRegistrationToken: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/registration-token"
-        },
-        createRemoveToken: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/remove-token"
-        },
-        deleteArtifact: {
-            method: "DELETE",
-            params: {
-                artifact_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/artifacts/:artifact_id"
-        },
-        deleteSecretFromRepo: {
-            method: "DELETE",
-            params: {
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets/:name"
-        },
-        downloadArtifact: {
-            method: "GET",
-            params: {
-                archive_format: { required: true, type: "string" },
-                artifact_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format"
-        },
-        getArtifact: {
-            method: "GET",
-            params: {
-                artifact_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/artifacts/:artifact_id"
-        },
-        getPublicKey: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets/public-key"
-        },
-        getSecret: {
-            method: "GET",
-            params: {
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets/:name"
-        },
-        getSelfHostedRunner: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                runner_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/:runner_id"
-        },
-        getWorkflow: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                workflow_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/workflows/:workflow_id"
-        },
-        getWorkflowJob: {
-            method: "GET",
-            params: {
-                job_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/jobs/:job_id"
-        },
-        getWorkflowRun: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id"
-        },
-        listDownloadsForSelfHostedRunnerApplication: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/downloads"
-        },
-        listJobsForWorkflowRun: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/jobs"
-        },
-        listRepoWorkflowRuns: {
-            method: "GET",
-            params: {
-                actor: { type: "string" },
-                branch: { type: "string" },
-                event: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                status: { enum: ["completed", "status", "conclusion"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runs"
-        },
-        listRepoWorkflows: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/workflows"
-        },
-        listSecretsForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/secrets"
-        },
-        listSelfHostedRunnersForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/runners"
-        },
-        listWorkflowJobLogs: {
-            method: "GET",
-            params: {
-                job_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/actions/jobs/:job_id/logs"
-        },
-        listWorkflowRunArtifacts: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/artifacts"
-        },
-        listWorkflowRunLogs: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/logs"
-        },
-        listWorkflowRuns: {
-            method: "GET",
-            params: {
-                actor: { type: "string" },
-                branch: { type: "string" },
-                event: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                status: { enum: ["completed", "status", "conclusion"], type: "string" },
-                workflow_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/workflows/:workflow_id/runs"
-        },
-        reRunWorkflow: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                run_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runs/:run_id/rerun"
-        },
-        removeSelfHostedRunner: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                runner_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/actions/runners/:runner_id"
-        }
+        addSelectedRepoToOrgSecret: [
+            "PUT /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}",
+        ],
+        cancelWorkflowRun: [
+            "POST /repos/{owner}/{repo}/actions/runs/{run_id}/cancel",
+        ],
+        createOrUpdateOrgSecret: ["PUT /orgs/{org}/actions/secrets/{secret_name}"],
+        createOrUpdateRepoSecret: [
+            "PUT /repos/{owner}/{repo}/actions/secrets/{secret_name}",
+        ],
+        createRegistrationTokenForOrg: [
+            "POST /orgs/{org}/actions/runners/registration-token",
+        ],
+        createRegistrationTokenForRepo: [
+            "POST /repos/{owner}/{repo}/actions/runners/registration-token",
+        ],
+        createRemoveTokenForOrg: ["POST /orgs/{org}/actions/runners/remove-token"],
+        createRemoveTokenForRepo: [
+            "POST /repos/{owner}/{repo}/actions/runners/remove-token",
+        ],
+        createWorkflowDispatch: [
+            "POST /repos/{owner}/{repo}/actions/workflows/{workflow_id}/dispatches",
+        ],
+        deleteArtifact: [
+            "DELETE /repos/{owner}/{repo}/actions/artifacts/{artifact_id}",
+        ],
+        deleteOrgSecret: ["DELETE /orgs/{org}/actions/secrets/{secret_name}"],
+        deleteRepoSecret: [
+            "DELETE /repos/{owner}/{repo}/actions/secrets/{secret_name}",
+        ],
+        deleteSelfHostedRunnerFromOrg: [
+            "DELETE /orgs/{org}/actions/runners/{runner_id}",
+        ],
+        deleteSelfHostedRunnerFromRepo: [
+            "DELETE /repos/{owner}/{repo}/actions/runners/{runner_id}",
+        ],
+        deleteWorkflowRun: ["DELETE /repos/{owner}/{repo}/actions/runs/{run_id}"],
+        deleteWorkflowRunLogs: [
+            "DELETE /repos/{owner}/{repo}/actions/runs/{run_id}/logs",
+        ],
+        downloadArtifact: [
+            "GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}/{archive_format}",
+        ],
+        downloadJobLogsForWorkflowRun: [
+            "GET /repos/{owner}/{repo}/actions/jobs/{job_id}/logs",
+        ],
+        downloadWorkflowRunLogs: [
+            "GET /repos/{owner}/{repo}/actions/runs/{run_id}/logs",
+        ],
+        getArtifact: ["GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}"],
+        getJobForWorkflowRun: ["GET /repos/{owner}/{repo}/actions/jobs/{job_id}"],
+        getOrgPublicKey: ["GET /orgs/{org}/actions/secrets/public-key"],
+        getOrgSecret: ["GET /orgs/{org}/actions/secrets/{secret_name}"],
+        getRepoPublicKey: ["GET /repos/{owner}/{repo}/actions/secrets/public-key"],
+        getRepoSecret: ["GET /repos/{owner}/{repo}/actions/secrets/{secret_name}"],
+        getSelfHostedRunnerForOrg: ["GET /orgs/{org}/actions/runners/{runner_id}"],
+        getSelfHostedRunnerForRepo: [
+            "GET /repos/{owner}/{repo}/actions/runners/{runner_id}",
+        ],
+        getWorkflow: ["GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}"],
+        getWorkflowRun: ["GET /repos/{owner}/{repo}/actions/runs/{run_id}"],
+        getWorkflowRunUsage: [
+            "GET /repos/{owner}/{repo}/actions/runs/{run_id}/timing",
+        ],
+        getWorkflowUsage: [
+            "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/timing",
+        ],
+        listArtifactsForRepo: ["GET /repos/{owner}/{repo}/actions/artifacts"],
+        listJobsForWorkflowRun: [
+            "GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs",
+        ],
+        listOrgSecrets: ["GET /orgs/{org}/actions/secrets"],
+        listRepoSecrets: ["GET /repos/{owner}/{repo}/actions/secrets"],
+        listRepoWorkflows: ["GET /repos/{owner}/{repo}/actions/workflows"],
+        listRunnerApplicationsForOrg: ["GET /orgs/{org}/actions/runners/downloads"],
+        listRunnerApplicationsForRepo: [
+            "GET /repos/{owner}/{repo}/actions/runners/downloads",
+        ],
+        listSelectedReposForOrgSecret: [
+            "GET /orgs/{org}/actions/secrets/{secret_name}/repositories",
+        ],
+        listSelfHostedRunnersForOrg: ["GET /orgs/{org}/actions/runners"],
+        listSelfHostedRunnersForRepo: ["GET /repos/{owner}/{repo}/actions/runners"],
+        listWorkflowRunArtifacts: [
+            "GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts",
+        ],
+        listWorkflowRuns: [
+            "GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs",
+        ],
+        listWorkflowRunsForRepo: ["GET /repos/{owner}/{repo}/actions/runs"],
+        reRunWorkflow: ["POST /repos/{owner}/{repo}/actions/runs/{run_id}/rerun"],
+        removeSelectedRepoFromOrgSecret: [
+            "DELETE /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}",
+        ],
+        setSelectedReposForOrgSecret: [
+            "PUT /orgs/{org}/actions/secrets/{secret_name}/repositories",
+        ],
     },
     activity: {
-        checkStarringRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/user/starred/:owner/:repo"
-        },
-        deleteRepoSubscription: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/subscription"
-        },
-        deleteThreadSubscription: {
-            method: "DELETE",
-            params: { thread_id: { required: true, type: "integer" } },
-            url: "/notifications/threads/:thread_id/subscription"
-        },
-        getRepoSubscription: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/subscription"
-        },
-        getThread: {
-            method: "GET",
-            params: { thread_id: { required: true, type: "integer" } },
-            url: "/notifications/threads/:thread_id"
-        },
-        getThreadSubscription: {
-            method: "GET",
-            params: { thread_id: { required: true, type: "integer" } },
-            url: "/notifications/threads/:thread_id/subscription"
-        },
-        listEventsForOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/events/orgs/:org"
-        },
-        listEventsForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/events"
-        },
-        listFeeds: { method: "GET", params: {}, url: "/feeds" },
-        listNotifications: {
-            method: "GET",
-            params: {
-                all: { type: "boolean" },
-                before: { type: "string" },
-                page: { type: "integer" },
-                participating: { type: "boolean" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/notifications"
-        },
-        listNotificationsForRepo: {
-            method: "GET",
-            params: {
-                all: { type: "boolean" },
-                before: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                participating: { type: "boolean" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/notifications"
-        },
-        listPublicEvents: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/events"
-        },
-        listPublicEventsForOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/events"
-        },
-        listPublicEventsForRepoNetwork: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/networks/:owner/:repo/events"
-        },
-        listPublicEventsForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/events/public"
-        },
-        listReceivedEventsForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/received_events"
-        },
-        listReceivedPublicEventsForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/received_events/public"
-        },
-        listRepoEvents: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/events"
-        },
-        listReposStarredByAuthenticatedUser: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/user/starred"
-        },
-        listReposStarredByUser: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/starred"
-        },
-        listReposWatchedByUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/subscriptions"
-        },
-        listStargazersForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stargazers"
-        },
-        listWatchedReposForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/subscriptions"
-        },
-        listWatchersForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/subscribers"
-        },
-        markAsRead: {
-            method: "PUT",
-            params: { last_read_at: { type: "string" } },
-            url: "/notifications"
-        },
-        markNotificationsAsReadForRepo: {
-            method: "PUT",
-            params: {
-                last_read_at: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/notifications"
-        },
-        markThreadAsRead: {
-            method: "PATCH",
-            params: { thread_id: { required: true, type: "integer" } },
-            url: "/notifications/threads/:thread_id"
-        },
-        setRepoSubscription: {
-            method: "PUT",
-            params: {
-                ignored: { type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                subscribed: { type: "boolean" }
-            },
-            url: "/repos/:owner/:repo/subscription"
-        },
-        setThreadSubscription: {
-            method: "PUT",
-            params: {
-                ignored: { type: "boolean" },
-                thread_id: { required: true, type: "integer" }
-            },
-            url: "/notifications/threads/:thread_id/subscription"
-        },
-        starRepo: {
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/user/starred/:owner/:repo"
-        },
-        unstarRepo: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/user/starred/:owner/:repo"
-        }
+        checkRepoIsStarredByAuthenticatedUser: ["GET /user/starred/{owner}/{repo}"],
+        deleteRepoSubscription: ["DELETE /repos/{owner}/{repo}/subscription"],
+        deleteThreadSubscription: [
+            "DELETE /notifications/threads/{thread_id}/subscription",
+        ],
+        getFeeds: ["GET /feeds"],
+        getRepoSubscription: ["GET /repos/{owner}/{repo}/subscription"],
+        getThread: ["GET /notifications/threads/{thread_id}"],
+        getThreadSubscriptionForAuthenticatedUser: [
+            "GET /notifications/threads/{thread_id}/subscription",
+        ],
+        listEventsForAuthenticatedUser: ["GET /users/{username}/events"],
+        listNotificationsForAuthenticatedUser: ["GET /notifications"],
+        listOrgEventsForAuthenticatedUser: [
+            "GET /users/{username}/events/orgs/{org}",
+        ],
+        listPublicEvents: ["GET /events"],
+        listPublicEventsForRepoNetwork: ["GET /networks/{owner}/{repo}/events"],
+        listPublicEventsForUser: ["GET /users/{username}/events/public"],
+        listPublicOrgEvents: ["GET /orgs/{org}/events"],
+        listReceivedEventsForUser: ["GET /users/{username}/received_events"],
+        listReceivedPublicEventsForUser: [
+            "GET /users/{username}/received_events/public",
+        ],
+        listRepoEvents: ["GET /repos/{owner}/{repo}/events"],
+        listRepoNotificationsForAuthenticatedUser: [
+            "GET /repos/{owner}/{repo}/notifications",
+        ],
+        listReposStarredByAuthenticatedUser: ["GET /user/starred"],
+        listReposStarredByUser: ["GET /users/{username}/starred"],
+        listReposWatchedByUser: ["GET /users/{username}/subscriptions"],
+        listStargazersForRepo: ["GET /repos/{owner}/{repo}/stargazers"],
+        listWatchedReposForAuthenticatedUser: ["GET /user/subscriptions"],
+        listWatchersForRepo: ["GET /repos/{owner}/{repo}/subscribers"],
+        markNotificationsAsRead: ["PUT /notifications"],
+        markRepoNotificationsAsRead: ["PUT /repos/{owner}/{repo}/notifications"],
+        markThreadAsRead: ["PATCH /notifications/threads/{thread_id}"],
+        setRepoSubscription: ["PUT /repos/{owner}/{repo}/subscription"],
+        setThreadSubscription: [
+            "PUT /notifications/threads/{thread_id}/subscription",
+        ],
+        starRepoForAuthenticatedUser: ["PUT /user/starred/{owner}/{repo}"],
+        unstarRepoForAuthenticatedUser: ["DELETE /user/starred/{owner}/{repo}"],
     },
     apps: {
-        addRepoToInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "PUT",
-            params: {
-                installation_id: { required: true, type: "integer" },
-                repository_id: { required: true, type: "integer" }
-            },
-            url: "/user/installations/:installation_id/repositories/:repository_id"
-        },
-        checkAccountIsAssociatedWithAny: {
-            method: "GET",
-            params: { account_id: { required: true, type: "integer" } },
-            url: "/marketplace_listing/accounts/:account_id"
-        },
-        checkAccountIsAssociatedWithAnyStubbed: {
-            method: "GET",
-            params: { account_id: { required: true, type: "integer" } },
-            url: "/marketplace_listing/stubbed/accounts/:account_id"
-        },
-        checkAuthorization: {
-            deprecated: "octokit.apps.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization",
-            method: "GET",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        checkToken: {
-            headers: { accept: "application/vnd.github.doctor-strange-preview+json" },
-            method: "POST",
-            params: {
-                access_token: { type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/token"
-        },
-        createContentAttachment: {
-            headers: { accept: "application/vnd.github.corsair-preview+json" },
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                content_reference_id: { required: true, type: "integer" },
-                title: { required: true, type: "string" }
-            },
-            url: "/content_references/:content_reference_id/attachments"
-        },
-        createFromManifest: {
-            headers: { accept: "application/vnd.github.fury-preview+json" },
-            method: "POST",
-            params: { code: { required: true, type: "string" } },
-            url: "/app-manifests/:code/conversions"
-        },
-        createInstallationToken: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "POST",
-            params: {
-                installation_id: { required: true, type: "integer" },
-                permissions: { type: "object" },
-                repository_ids: { type: "integer[]" }
-            },
-            url: "/app/installations/:installation_id/access_tokens"
-        },
-        deleteAuthorization: {
-            headers: { accept: "application/vnd.github.doctor-strange-preview+json" },
-            method: "DELETE",
-            params: {
-                access_token: { type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/grant"
-        },
-        deleteInstallation: {
-            headers: {
-                accept: "application/vnd.github.gambit-preview+json,application/vnd.github.machine-man-preview+json"
-            },
-            method: "DELETE",
-            params: { installation_id: { required: true, type: "integer" } },
-            url: "/app/installations/:installation_id"
-        },
-        deleteToken: {
-            headers: { accept: "application/vnd.github.doctor-strange-preview+json" },
-            method: "DELETE",
-            params: {
-                access_token: { type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/token"
-        },
-        findOrgInstallation: {
-            deprecated: "octokit.apps.findOrgInstallation() has been renamed to octokit.apps.getOrgInstallation() (2019-04-10)",
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/installation"
-        },
-        findRepoInstallation: {
-            deprecated: "octokit.apps.findRepoInstallation() has been renamed to octokit.apps.getRepoInstallation() (2019-04-10)",
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/installation"
-        },
-        findUserInstallation: {
-            deprecated: "octokit.apps.findUserInstallation() has been renamed to octokit.apps.getUserInstallation() (2019-04-10)",
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/users/:username/installation"
-        },
-        getAuthenticated: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {},
-            url: "/app"
-        },
-        getBySlug: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { app_slug: { required: true, type: "string" } },
-            url: "/apps/:app_slug"
-        },
-        getInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { installation_id: { required: true, type: "integer" } },
-            url: "/app/installations/:installation_id"
-        },
-        getOrgInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/installation"
-        },
-        getRepoInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/installation"
-        },
-        getUserInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/users/:username/installation"
-        },
-        listAccountsUserOrOrgOnPlan: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                plan_id: { required: true, type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/marketplace_listing/plans/:plan_id/accounts"
-        },
-        listAccountsUserOrOrgOnPlanStubbed: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                plan_id: { required: true, type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/marketplace_listing/stubbed/plans/:plan_id/accounts"
-        },
-        listInstallationReposForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {
-                installation_id: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/user/installations/:installation_id/repositories"
-        },
-        listInstallations: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/app/installations"
-        },
-        listInstallationsForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/installations"
-        },
-        listMarketplacePurchasesForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/marketplace_purchases"
-        },
-        listMarketplacePurchasesForAuthenticatedUserStubbed: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/marketplace_purchases/stubbed"
-        },
-        listPlans: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/marketplace_listing/plans"
-        },
-        listPlansStubbed: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/marketplace_listing/stubbed/plans"
-        },
-        listRepos: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/installation/repositories"
-        },
-        removeRepoFromInstallation: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "DELETE",
-            params: {
-                installation_id: { required: true, type: "integer" },
-                repository_id: { required: true, type: "integer" }
-            },
-            url: "/user/installations/:installation_id/repositories/:repository_id"
-        },
-        resetAuthorization: {
-            deprecated: "octokit.apps.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization",
-            method: "POST",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        resetToken: {
-            headers: { accept: "application/vnd.github.doctor-strange-preview+json" },
-            method: "PATCH",
-            params: {
-                access_token: { type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/token"
-        },
-        revokeAuthorizationForApplication: {
-            deprecated: "octokit.apps.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application",
-            method: "DELETE",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        revokeGrantForApplication: {
-            deprecated: "octokit.apps.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application",
-            method: "DELETE",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/grants/:access_token"
-        },
-        revokeInstallationToken: {
-            headers: { accept: "application/vnd.github.gambit-preview+json" },
-            method: "DELETE",
-            params: {},
-            url: "/installation/token"
-        }
+        addRepoToInstallation: [
+            "PUT /user/installations/{installation_id}/repositories/{repository_id}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        checkToken: ["POST /applications/{client_id}/token"],
+        createContentAttachment: [
+            "POST /content_references/{content_reference_id}/attachments",
+            { mediaType: { previews: ["corsair"] } },
+        ],
+        createFromManifest: ["POST /app-manifests/{code}/conversions"],
+        createInstallationAccessToken: [
+            "POST /app/installations/{installation_id}/access_tokens",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        deleteAuthorization: ["DELETE /applications/{client_id}/grant"],
+        deleteInstallation: [
+            "DELETE /app/installations/{installation_id}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        deleteToken: ["DELETE /applications/{client_id}/token"],
+        getAuthenticated: [
+            "GET /app",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getBySlug: [
+            "GET /apps/{app_slug}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getInstallation: [
+            "GET /app/installations/{installation_id}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getOrgInstallation: [
+            "GET /orgs/{org}/installation",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getRepoInstallation: [
+            "GET /repos/{owner}/{repo}/installation",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        getSubscriptionPlanForAccount: [
+            "GET /marketplace_listing/accounts/{account_id}",
+        ],
+        getSubscriptionPlanForAccountStubbed: [
+            "GET /marketplace_listing/stubbed/accounts/{account_id}",
+        ],
+        getUserInstallation: [
+            "GET /users/{username}/installation",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listAccountsForPlan: ["GET /marketplace_listing/plans/{plan_id}/accounts"],
+        listAccountsForPlanStubbed: [
+            "GET /marketplace_listing/stubbed/plans/{plan_id}/accounts",
+        ],
+        listInstallationReposForAuthenticatedUser: [
+            "GET /user/installations/{installation_id}/repositories",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listInstallations: [
+            "GET /app/installations",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listInstallationsForAuthenticatedUser: [
+            "GET /user/installations",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listPlans: ["GET /marketplace_listing/plans"],
+        listPlansStubbed: ["GET /marketplace_listing/stubbed/plans"],
+        listReposAccessibleToInstallation: [
+            "GET /installation/repositories",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listSubscriptionsForAuthenticatedUser: ["GET /user/marketplace_purchases"],
+        listSubscriptionsForAuthenticatedUserStubbed: [
+            "GET /user/marketplace_purchases/stubbed",
+        ],
+        removeRepoFromInstallation: [
+            "DELETE /user/installations/{installation_id}/repositories/{repository_id}",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        resetToken: ["PATCH /applications/{client_id}/token"],
+        revokeInstallationAccessToken: ["DELETE /installation/token"],
+        suspendInstallation: ["PUT /app/installations/{installation_id}/suspended"],
+        unsuspendInstallation: [
+            "DELETE /app/installations/{installation_id}/suspended",
+        ],
+    },
+    billing: {
+        getGithubActionsBillingOrg: ["GET /orgs/{org}/settings/billing/actions"],
+        getGithubActionsBillingUser: [
+            "GET /users/{username}/settings/billing/actions",
+        ],
+        getGithubPackagesBillingOrg: ["GET /orgs/{org}/settings/billing/packages"],
+        getGithubPackagesBillingUser: [
+            "GET /users/{username}/settings/billing/packages",
+        ],
+        getSharedStorageBillingOrg: [
+            "GET /orgs/{org}/settings/billing/shared-storage",
+        ],
+        getSharedStorageBillingUser: [
+            "GET /users/{username}/settings/billing/shared-storage",
+        ],
     },
     checks: {
-        create: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "POST",
-            params: {
-                actions: { type: "object[]" },
-                "actions[].description": { required: true, type: "string" },
-                "actions[].identifier": { required: true, type: "string" },
-                "actions[].label": { required: true, type: "string" },
-                completed_at: { type: "string" },
-                conclusion: {
-                    enum: [
-                        "success",
-                        "failure",
-                        "neutral",
-                        "cancelled",
-                        "timed_out",
-                        "action_required"
-                    ],
-                    type: "string"
-                },
-                details_url: { type: "string" },
-                external_id: { type: "string" },
-                head_sha: { required: true, type: "string" },
-                name: { required: true, type: "string" },
-                output: { type: "object" },
-                "output.annotations": { type: "object[]" },
-                "output.annotations[].annotation_level": {
-                    enum: ["notice", "warning", "failure"],
-                    required: true,
-                    type: "string"
-                },
-                "output.annotations[].end_column": { type: "integer" },
-                "output.annotations[].end_line": { required: true, type: "integer" },
-                "output.annotations[].message": { required: true, type: "string" },
-                "output.annotations[].path": { required: true, type: "string" },
-                "output.annotations[].raw_details": { type: "string" },
-                "output.annotations[].start_column": { type: "integer" },
-                "output.annotations[].start_line": { required: true, type: "integer" },
-                "output.annotations[].title": { type: "string" },
-                "output.images": { type: "object[]" },
-                "output.images[].alt": { required: true, type: "string" },
-                "output.images[].caption": { type: "string" },
-                "output.images[].image_url": { required: true, type: "string" },
-                "output.summary": { required: true, type: "string" },
-                "output.text": { type: "string" },
-                "output.title": { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                started_at: { type: "string" },
-                status: { enum: ["queued", "in_progress", "completed"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-runs"
-        },
-        createSuite: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "POST",
-            params: {
-                head_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites"
-        },
-        get: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_run_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-runs/:check_run_id"
-        },
-        getSuite: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_suite_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites/:check_suite_id"
-        },
-        listAnnotations: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_run_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-runs/:check_run_id/annotations"
-        },
-        listForRef: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_name: { type: "string" },
-                filter: { enum: ["latest", "all"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                status: { enum: ["queued", "in_progress", "completed"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref/check-runs"
-        },
-        listForSuite: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                check_name: { type: "string" },
-                check_suite_id: { required: true, type: "integer" },
-                filter: { enum: ["latest", "all"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                status: { enum: ["queued", "in_progress", "completed"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites/:check_suite_id/check-runs"
-        },
-        listSuitesForRef: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "GET",
-            params: {
-                app_id: { type: "integer" },
-                check_name: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref/check-suites"
-        },
-        rerequestSuite: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "POST",
-            params: {
-                check_suite_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites/:check_suite_id/rerequest"
-        },
-        setSuitesPreferences: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "PATCH",
-            params: {
-                auto_trigger_checks: { type: "object[]" },
-                "auto_trigger_checks[].app_id": { required: true, type: "integer" },
-                "auto_trigger_checks[].setting": { required: true, type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-suites/preferences"
-        },
-        update: {
-            headers: { accept: "application/vnd.github.antiope-preview+json" },
-            method: "PATCH",
-            params: {
-                actions: { type: "object[]" },
-                "actions[].description": { required: true, type: "string" },
-                "actions[].identifier": { required: true, type: "string" },
-                "actions[].label": { required: true, type: "string" },
-                check_run_id: { required: true, type: "integer" },
-                completed_at: { type: "string" },
-                conclusion: {
-                    enum: [
-                        "success",
-                        "failure",
-                        "neutral",
-                        "cancelled",
-                        "timed_out",
-                        "action_required"
-                    ],
-                    type: "string"
-                },
-                details_url: { type: "string" },
-                external_id: { type: "string" },
-                name: { type: "string" },
-                output: { type: "object" },
-                "output.annotations": { type: "object[]" },
-                "output.annotations[].annotation_level": {
-                    enum: ["notice", "warning", "failure"],
-                    required: true,
-                    type: "string"
-                },
-                "output.annotations[].end_column": { type: "integer" },
-                "output.annotations[].end_line": { required: true, type: "integer" },
-                "output.annotations[].message": { required: true, type: "string" },
-                "output.annotations[].path": { required: true, type: "string" },
-                "output.annotations[].raw_details": { type: "string" },
-                "output.annotations[].start_column": { type: "integer" },
-                "output.annotations[].start_line": { required: true, type: "integer" },
-                "output.annotations[].title": { type: "string" },
-                "output.images": { type: "object[]" },
-                "output.images[].alt": { required: true, type: "string" },
-                "output.images[].caption": { type: "string" },
-                "output.images[].image_url": { required: true, type: "string" },
-                "output.summary": { required: true, type: "string" },
-                "output.text": { type: "string" },
-                "output.title": { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                started_at: { type: "string" },
-                status: { enum: ["queued", "in_progress", "completed"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/check-runs/:check_run_id"
-        }
+        create: [
+            "POST /repos/{owner}/{repo}/check-runs",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        createSuite: [
+            "POST /repos/{owner}/{repo}/check-suites",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        get: [
+            "GET /repos/{owner}/{repo}/check-runs/{check_run_id}",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        getSuite: [
+            "GET /repos/{owner}/{repo}/check-suites/{check_suite_id}",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        listAnnotations: [
+            "GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        listForRef: [
+            "GET /repos/{owner}/{repo}/commits/{ref}/check-runs",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        listForSuite: [
+            "GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        listSuitesForRef: [
+            "GET /repos/{owner}/{repo}/commits/{ref}/check-suites",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        rerequestSuite: [
+            "POST /repos/{owner}/{repo}/check-suites/{check_suite_id}/rerequest",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        setSuitesPreferences: [
+            "PATCH /repos/{owner}/{repo}/check-suites/preferences",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+        update: [
+            "PATCH /repos/{owner}/{repo}/check-runs/{check_run_id}",
+            { mediaType: { previews: ["antiope"] } },
+        ],
+    },
+    codeScanning: {
+        getAlert: ["GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_id}"],
+        listAlertsForRepo: ["GET /repos/{owner}/{repo}/code-scanning/alerts"],
     },
     codesOfConduct: {
-        getConductCode: {
-            headers: { accept: "application/vnd.github.scarlet-witch-preview+json" },
-            method: "GET",
-            params: { key: { required: true, type: "string" } },
-            url: "/codes_of_conduct/:key"
-        },
-        getForRepo: {
-            headers: { accept: "application/vnd.github.scarlet-witch-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/community/code_of_conduct"
-        },
-        listConductCodes: {
-            headers: { accept: "application/vnd.github.scarlet-witch-preview+json" },
-            method: "GET",
-            params: {},
-            url: "/codes_of_conduct"
-        }
+        getAllCodesOfConduct: [
+            "GET /codes_of_conduct",
+            { mediaType: { previews: ["scarlet-witch"] } },
+        ],
+        getConductCode: [
+            "GET /codes_of_conduct/{key}",
+            { mediaType: { previews: ["scarlet-witch"] } },
+        ],
+        getForRepo: [
+            "GET /repos/{owner}/{repo}/community/code_of_conduct",
+            { mediaType: { previews: ["scarlet-witch"] } },
+        ],
     },
-    emojis: { get: { method: "GET", params: {}, url: "/emojis" } },
+    emojis: { get: ["GET /emojis"] },
     gists: {
-        checkIsStarred: {
-            method: "GET",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id/star"
-        },
-        create: {
-            method: "POST",
-            params: {
-                description: { type: "string" },
-                files: { required: true, type: "object" },
-                "files.content": { type: "string" },
-                public: { type: "boolean" }
-            },
-            url: "/gists"
-        },
-        createComment: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/comments"
-        },
-        delete: {
-            method: "DELETE",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id"
-        },
-        deleteComment: {
-            method: "DELETE",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/comments/:comment_id"
-        },
-        fork: {
-            method: "POST",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id/forks"
-        },
-        get: {
-            method: "GET",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id"
-        },
-        getComment: {
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/comments/:comment_id"
-        },
-        getRevision: {
-            method: "GET",
-            params: {
-                gist_id: { required: true, type: "string" },
-                sha: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/:sha"
-        },
-        list: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/gists"
-        },
-        listComments: {
-            method: "GET",
-            params: {
-                gist_id: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/gists/:gist_id/comments"
-        },
-        listCommits: {
-            method: "GET",
-            params: {
-                gist_id: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/gists/:gist_id/commits"
-        },
-        listForks: {
-            method: "GET",
-            params: {
-                gist_id: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/gists/:gist_id/forks"
-        },
-        listPublic: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/gists/public"
-        },
-        listPublicForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/gists"
-        },
-        listStarred: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/gists/starred"
-        },
-        star: {
-            method: "PUT",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id/star"
-        },
-        unstar: {
-            method: "DELETE",
-            params: { gist_id: { required: true, type: "string" } },
-            url: "/gists/:gist_id/star"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                files: { type: "object" },
-                "files.content": { type: "string" },
-                "files.filename": { type: "string" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id"
-        },
-        updateComment: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                gist_id: { required: true, type: "string" }
-            },
-            url: "/gists/:gist_id/comments/:comment_id"
-        }
+        checkIsStarred: ["GET /gists/{gist_id}/star"],
+        create: ["POST /gists"],
+        createComment: ["POST /gists/{gist_id}/comments"],
+        delete: ["DELETE /gists/{gist_id}"],
+        deleteComment: ["DELETE /gists/{gist_id}/comments/{comment_id}"],
+        fork: ["POST /gists/{gist_id}/forks"],
+        get: ["GET /gists/{gist_id}"],
+        getComment: ["GET /gists/{gist_id}/comments/{comment_id}"],
+        getRevision: ["GET /gists/{gist_id}/{sha}"],
+        list: ["GET /gists"],
+        listComments: ["GET /gists/{gist_id}/comments"],
+        listCommits: ["GET /gists/{gist_id}/commits"],
+        listForUser: ["GET /users/{username}/gists"],
+        listForks: ["GET /gists/{gist_id}/forks"],
+        listPublic: ["GET /gists/public"],
+        listStarred: ["GET /gists/starred"],
+        star: ["PUT /gists/{gist_id}/star"],
+        unstar: ["DELETE /gists/{gist_id}/star"],
+        update: ["PATCH /gists/{gist_id}"],
+        updateComment: ["PATCH /gists/{gist_id}/comments/{comment_id}"],
     },
     git: {
-        createBlob: {
-            method: "POST",
-            params: {
-                content: { required: true, type: "string" },
-                encoding: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/blobs"
-        },
-        createCommit: {
-            method: "POST",
-            params: {
-                author: { type: "object" },
-                "author.date": { type: "string" },
-                "author.email": { type: "string" },
-                "author.name": { type: "string" },
-                committer: { type: "object" },
-                "committer.date": { type: "string" },
-                "committer.email": { type: "string" },
-                "committer.name": { type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                parents: { required: true, type: "string[]" },
-                repo: { required: true, type: "string" },
-                signature: { type: "string" },
-                tree: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/commits"
-        },
-        createRef: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/refs"
-        },
-        createTag: {
-            method: "POST",
-            params: {
-                message: { required: true, type: "string" },
-                object: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tag: { required: true, type: "string" },
-                tagger: { type: "object" },
-                "tagger.date": { type: "string" },
-                "tagger.email": { type: "string" },
-                "tagger.name": { type: "string" },
-                type: {
-                    enum: ["commit", "tree", "blob"],
-                    required: true,
-                    type: "string"
-                }
-            },
-            url: "/repos/:owner/:repo/git/tags"
-        },
-        createTree: {
-            method: "POST",
-            params: {
-                base_tree: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tree: { required: true, type: "object[]" },
-                "tree[].content": { type: "string" },
-                "tree[].mode": {
-                    enum: ["100644", "100755", "040000", "160000", "120000"],
-                    type: "string"
-                },
-                "tree[].path": { type: "string" },
-                "tree[].sha": { allowNull: true, type: "string" },
-                "tree[].type": { enum: ["blob", "tree", "commit"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/trees"
-        },
-        deleteRef: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/refs/:ref"
-        },
-        getBlob: {
-            method: "GET",
-            params: {
-                file_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/blobs/:file_sha"
-        },
-        getCommit: {
-            method: "GET",
-            params: {
-                commit_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/commits/:commit_sha"
-        },
-        getRef: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/ref/:ref"
-        },
-        getTag: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tag_sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/tags/:tag_sha"
-        },
-        getTree: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                recursive: { enum: ["1"], type: "integer" },
-                repo: { required: true, type: "string" },
-                tree_sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/trees/:tree_sha"
-        },
-        listMatchingRefs: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/matching-refs/:ref"
-        },
-        listRefs: {
-            method: "GET",
-            params: {
-                namespace: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/refs/:namespace"
-        },
-        updateRef: {
-            method: "PATCH",
-            params: {
-                force: { type: "boolean" },
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/git/refs/:ref"
-        }
+        createBlob: ["POST /repos/{owner}/{repo}/git/blobs"],
+        createCommit: ["POST /repos/{owner}/{repo}/git/commits"],
+        createRef: ["POST /repos/{owner}/{repo}/git/refs"],
+        createTag: ["POST /repos/{owner}/{repo}/git/tags"],
+        createTree: ["POST /repos/{owner}/{repo}/git/trees"],
+        deleteRef: ["DELETE /repos/{owner}/{repo}/git/refs/{ref}"],
+        getBlob: ["GET /repos/{owner}/{repo}/git/blobs/{file_sha}"],
+        getCommit: ["GET /repos/{owner}/{repo}/git/commits/{commit_sha}"],
+        getRef: ["GET /repos/{owner}/{repo}/git/ref/{ref}"],
+        getTag: ["GET /repos/{owner}/{repo}/git/tags/{tag_sha}"],
+        getTree: ["GET /repos/{owner}/{repo}/git/trees/{tree_sha}"],
+        listMatchingRefs: ["GET /repos/{owner}/{repo}/git/matching-refs/{ref}"],
+        updateRef: ["PATCH /repos/{owner}/{repo}/git/refs/{ref}"],
     },
     gitignore: {
-        getTemplate: {
-            method: "GET",
-            params: { name: { required: true, type: "string" } },
-            url: "/gitignore/templates/:name"
-        },
-        listTemplates: { method: "GET", params: {}, url: "/gitignore/templates" }
+        getAllTemplates: ["GET /gitignore/templates"],
+        getTemplate: ["GET /gitignore/templates/{name}"],
     },
     interactions: {
-        addOrUpdateRestrictionsForOrg: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "PUT",
-            params: {
-                limit: {
-                    enum: ["existing_users", "contributors_only", "collaborators_only"],
-                    required: true,
-                    type: "string"
-                },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/interaction-limits"
-        },
-        addOrUpdateRestrictionsForRepo: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "PUT",
-            params: {
-                limit: {
-                    enum: ["existing_users", "contributors_only", "collaborators_only"],
-                    required: true,
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/interaction-limits"
-        },
-        getRestrictionsForOrg: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/interaction-limits"
-        },
-        getRestrictionsForRepo: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/interaction-limits"
-        },
-        removeRestrictionsForOrg: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "DELETE",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/interaction-limits"
-        },
-        removeRestrictionsForRepo: {
-            headers: { accept: "application/vnd.github.sombra-preview+json" },
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/interaction-limits"
-        }
+        getRestrictionsForOrg: [
+            "GET /orgs/{org}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        getRestrictionsForRepo: [
+            "GET /repos/{owner}/{repo}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        removeRestrictionsForOrg: [
+            "DELETE /orgs/{org}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        removeRestrictionsForRepo: [
+            "DELETE /repos/{owner}/{repo}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        setRestrictionsForOrg: [
+            "PUT /orgs/{org}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
+        setRestrictionsForRepo: [
+            "PUT /repos/{owner}/{repo}/interaction-limits",
+            { mediaType: { previews: ["sombra"] } },
+        ],
     },
     issues: {
-        addAssignees: {
-            method: "POST",
-            params: {
-                assignees: { type: "string[]" },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/assignees"
-        },
-        addLabels: {
-            method: "POST",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                labels: { required: true, type: "string[]" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels"
-        },
-        checkAssignee: {
-            method: "GET",
-            params: {
-                assignee: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/assignees/:assignee"
-        },
-        create: {
-            method: "POST",
-            params: {
-                assignee: { type: "string" },
-                assignees: { type: "string[]" },
-                body: { type: "string" },
-                labels: { type: "string[]" },
-                milestone: { type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                title: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues"
-        },
-        createComment: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/comments"
-        },
-        createLabel: {
-            method: "POST",
-            params: {
-                color: { required: true, type: "string" },
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels"
-        },
-        createMilestone: {
-            method: "POST",
-            params: {
-                description: { type: "string" },
-                due_on: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed"], type: "string" },
-                title: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones"
-        },
-        deleteComment: {
-            method: "DELETE",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id"
-        },
-        deleteLabel: {
-            method: "DELETE",
-            params: {
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels/:name"
-        },
-        deleteMilestone: {
-            method: "DELETE",
-            params: {
-                milestone_number: { required: true, type: "integer" },
-                number: {
-                    alias: "milestone_number",
-                    deprecated: true,
-                    type: "integer"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones/:milestone_number"
-        },
-        get: {
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number"
-        },
-        getComment: {
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id"
-        },
-        getEvent: {
-            method: "GET",
-            params: {
-                event_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/events/:event_id"
-        },
-        getLabel: {
-            method: "GET",
-            params: {
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels/:name"
-        },
-        getMilestone: {
-            method: "GET",
-            params: {
-                milestone_number: { required: true, type: "integer" },
-                number: {
-                    alias: "milestone_number",
-                    deprecated: true,
-                    type: "integer"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones/:milestone_number"
-        },
-        list: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                filter: {
-                    enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-                    type: "string"
-                },
-                labels: { type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated", "comments"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/issues"
-        },
-        listAssignees: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/assignees"
-        },
-        listComments: {
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/comments"
-        },
-        listCommentsForRepo: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments"
-        },
-        listEvents: {
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/events"
-        },
-        listEventsForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/events"
-        },
-        listEventsForTimeline: {
-            headers: { accept: "application/vnd.github.mockingbird-preview+json" },
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/timeline"
-        },
-        listForAuthenticatedUser: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                filter: {
-                    enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-                    type: "string"
-                },
-                labels: { type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated", "comments"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/user/issues"
-        },
-        listForOrg: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                filter: {
-                    enum: ["assigned", "created", "mentioned", "subscribed", "all"],
-                    type: "string"
-                },
-                labels: { type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated", "comments"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/orgs/:org/issues"
-        },
-        listForRepo: {
-            method: "GET",
-            params: {
-                assignee: { type: "string" },
-                creator: { type: "string" },
-                direction: { enum: ["asc", "desc"], type: "string" },
-                labels: { type: "string" },
-                mentioned: { type: "string" },
-                milestone: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated", "comments"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues"
-        },
-        listLabelsForMilestone: {
-            method: "GET",
-            params: {
-                milestone_number: { required: true, type: "integer" },
-                number: {
-                    alias: "milestone_number",
-                    deprecated: true,
-                    type: "integer"
-                },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones/:milestone_number/labels"
-        },
-        listLabelsForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels"
-        },
-        listLabelsOnIssue: {
-            method: "GET",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels"
-        },
-        listMilestonesForRepo: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sort: { enum: ["due_on", "completeness"], type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones"
-        },
-        lock: {
-            method: "PUT",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                lock_reason: {
-                    enum: ["off-topic", "too heated", "resolved", "spam"],
-                    type: "string"
-                },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/lock"
-        },
-        removeAssignees: {
-            method: "DELETE",
-            params: {
-                assignees: { type: "string[]" },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/assignees"
-        },
-        removeLabel: {
-            method: "DELETE",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                name: { required: true, type: "string" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels/:name"
-        },
-        removeLabels: {
-            method: "DELETE",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels"
-        },
-        replaceLabels: {
-            method: "PUT",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                labels: { type: "string[]" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/labels"
-        },
-        unlock: {
-            method: "DELETE",
-            params: {
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/lock"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                assignee: { type: "string" },
-                assignees: { type: "string[]" },
-                body: { type: "string" },
-                issue_number: { required: true, type: "integer" },
-                labels: { type: "string[]" },
-                milestone: { allowNull: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed"], type: "string" },
-                title: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number"
-        },
-        updateComment: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id"
-        },
-        updateLabel: {
-            method: "PATCH",
-            params: {
-                color: { type: "string" },
-                current_name: { required: true, type: "string" },
-                description: { type: "string" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/labels/:current_name"
-        },
-        updateMilestone: {
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                due_on: { type: "string" },
-                milestone_number: { required: true, type: "integer" },
-                number: {
-                    alias: "milestone_number",
-                    deprecated: true,
-                    type: "integer"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed"], type: "string" },
-                title: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/milestones/:milestone_number"
-        }
+        addAssignees: [
+            "POST /repos/{owner}/{repo}/issues/{issue_number}/assignees",
+        ],
+        addLabels: ["POST /repos/{owner}/{repo}/issues/{issue_number}/labels"],
+        checkUserCanBeAssigned: ["GET /repos/{owner}/{repo}/assignees/{assignee}"],
+        create: ["POST /repos/{owner}/{repo}/issues"],
+        createComment: [
+            "POST /repos/{owner}/{repo}/issues/{issue_number}/comments",
+        ],
+        createLabel: ["POST /repos/{owner}/{repo}/labels"],
+        createMilestone: ["POST /repos/{owner}/{repo}/milestones"],
+        deleteComment: [
+            "DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}",
+        ],
+        deleteLabel: ["DELETE /repos/{owner}/{repo}/labels/{name}"],
+        deleteMilestone: [
+            "DELETE /repos/{owner}/{repo}/milestones/{milestone_number}",
+        ],
+        get: ["GET /repos/{owner}/{repo}/issues/{issue_number}"],
+        getComment: ["GET /repos/{owner}/{repo}/issues/comments/{comment_id}"],
+        getEvent: ["GET /repos/{owner}/{repo}/issues/events/{event_id}"],
+        getLabel: ["GET /repos/{owner}/{repo}/labels/{name}"],
+        getMilestone: ["GET /repos/{owner}/{repo}/milestones/{milestone_number}"],
+        list: ["GET /issues"],
+        listAssignees: ["GET /repos/{owner}/{repo}/assignees"],
+        listComments: ["GET /repos/{owner}/{repo}/issues/{issue_number}/comments"],
+        listCommentsForRepo: ["GET /repos/{owner}/{repo}/issues/comments"],
+        listEvents: ["GET /repos/{owner}/{repo}/issues/{issue_number}/events"],
+        listEventsForRepo: ["GET /repos/{owner}/{repo}/issues/events"],
+        listEventsForTimeline: [
+            "GET /repos/{owner}/{repo}/issues/{issue_number}/timeline",
+            { mediaType: { previews: ["mockingbird"] } },
+        ],
+        listForAuthenticatedUser: ["GET /user/issues"],
+        listForOrg: ["GET /orgs/{org}/issues"],
+        listForRepo: ["GET /repos/{owner}/{repo}/issues"],
+        listLabelsForMilestone: [
+            "GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels",
+        ],
+        listLabelsForRepo: ["GET /repos/{owner}/{repo}/labels"],
+        listLabelsOnIssue: [
+            "GET /repos/{owner}/{repo}/issues/{issue_number}/labels",
+        ],
+        listMilestones: ["GET /repos/{owner}/{repo}/milestones"],
+        lock: ["PUT /repos/{owner}/{repo}/issues/{issue_number}/lock"],
+        removeAllLabels: [
+            "DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels",
+        ],
+        removeAssignees: [
+            "DELETE /repos/{owner}/{repo}/issues/{issue_number}/assignees",
+        ],
+        removeLabel: [
+            "DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels/{name}",
+        ],
+        setLabels: ["PUT /repos/{owner}/{repo}/issues/{issue_number}/labels"],
+        unlock: ["DELETE /repos/{owner}/{repo}/issues/{issue_number}/lock"],
+        update: ["PATCH /repos/{owner}/{repo}/issues/{issue_number}"],
+        updateComment: ["PATCH /repos/{owner}/{repo}/issues/comments/{comment_id}"],
+        updateLabel: ["PATCH /repos/{owner}/{repo}/labels/{name}"],
+        updateMilestone: [
+            "PATCH /repos/{owner}/{repo}/milestones/{milestone_number}",
+        ],
     },
     licenses: {
-        get: {
-            method: "GET",
-            params: { license: { required: true, type: "string" } },
-            url: "/licenses/:license"
-        },
-        getForRepo: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/license"
-        },
-        list: {
-            deprecated: "octokit.licenses.list() has been renamed to octokit.licenses.listCommonlyUsed() (2019-03-05)",
-            method: "GET",
-            params: {},
-            url: "/licenses"
-        },
-        listCommonlyUsed: { method: "GET", params: {}, url: "/licenses" }
+        get: ["GET /licenses/{license}"],
+        getAllCommonlyUsed: ["GET /licenses"],
+        getForRepo: ["GET /repos/{owner}/{repo}/license"],
     },
     markdown: {
-        render: {
-            method: "POST",
-            params: {
-                context: { type: "string" },
-                mode: { enum: ["markdown", "gfm"], type: "string" },
-                text: { required: true, type: "string" }
-            },
-            url: "/markdown"
-        },
-        renderRaw: {
-            headers: { "content-type": "text/plain; charset=utf-8" },
-            method: "POST",
-            params: { data: { mapTo: "data", required: true, type: "string" } },
-            url: "/markdown/raw"
-        }
+        render: ["POST /markdown"],
+        renderRaw: [
+            "POST /markdown/raw",
+            { headers: { "content-type": "text/plain; charset=utf-8" } },
+        ],
     },
-    meta: { get: { method: "GET", params: {}, url: "/meta" } },
+    meta: { get: ["GET /meta"] },
     migrations: {
-        cancelImport: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import"
-        },
-        deleteArchiveForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "DELETE",
-            params: { migration_id: { required: true, type: "integer" } },
-            url: "/user/migrations/:migration_id/archive"
-        },
-        deleteArchiveForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "DELETE",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/archive"
-        },
-        downloadArchiveForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/archive"
-        },
-        getArchiveForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: { migration_id: { required: true, type: "integer" } },
-            url: "/user/migrations/:migration_id/archive"
-        },
-        getArchiveForOrg: {
-            deprecated: "octokit.migrations.getArchiveForOrg() has been renamed to octokit.migrations.downloadArchiveForOrg() (2020-01-27)",
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/archive"
-        },
-        getCommitAuthors: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/import/authors"
-        },
-        getImportProgress: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import"
-        },
-        getLargeFiles: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import/large_files"
-        },
-        getStatusForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: { migration_id: { required: true, type: "integer" } },
-            url: "/user/migrations/:migration_id"
-        },
-        getStatusForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id"
-        },
-        listForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/migrations"
-        },
-        listForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/migrations"
-        },
-        listReposForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/repositories"
-        },
-        listReposForUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "GET",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/user/:migration_id/repositories"
-        },
-        mapCommitAuthor: {
-            method: "PATCH",
-            params: {
-                author_id: { required: true, type: "integer" },
-                email: { type: "string" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import/authors/:author_id"
-        },
-        setLfsPreference: {
-            method: "PATCH",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                use_lfs: { enum: ["opt_in", "opt_out"], required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/import/lfs"
-        },
-        startForAuthenticatedUser: {
-            method: "POST",
-            params: {
-                exclude_attachments: { type: "boolean" },
-                lock_repositories: { type: "boolean" },
-                repositories: { required: true, type: "string[]" }
-            },
-            url: "/user/migrations"
-        },
-        startForOrg: {
-            method: "POST",
-            params: {
-                exclude_attachments: { type: "boolean" },
-                lock_repositories: { type: "boolean" },
-                org: { required: true, type: "string" },
-                repositories: { required: true, type: "string[]" }
-            },
-            url: "/orgs/:org/migrations"
-        },
-        startImport: {
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tfvc_project: { type: "string" },
-                vcs: {
-                    enum: ["subversion", "git", "mercurial", "tfvc"],
-                    type: "string"
-                },
-                vcs_password: { type: "string" },
-                vcs_url: { required: true, type: "string" },
-                vcs_username: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/import"
-        },
-        unlockRepoForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "DELETE",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                repo_name: { required: true, type: "string" }
-            },
-            url: "/user/migrations/:migration_id/repos/:repo_name/lock"
-        },
-        unlockRepoForOrg: {
-            headers: { accept: "application/vnd.github.wyandotte-preview+json" },
-            method: "DELETE",
-            params: {
-                migration_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                repo_name: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/migrations/:migration_id/repos/:repo_name/lock"
-        },
-        updateImport: {
-            method: "PATCH",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                vcs_password: { type: "string" },
-                vcs_username: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/import"
-        }
-    },
-    oauthAuthorizations: {
-        checkAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.checkAuthorization() has been renamed to octokit.apps.checkAuthorization() (2019-11-05)",
-            method: "GET",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        createAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.createAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization",
-            method: "POST",
-            params: {
-                client_id: { type: "string" },
-                client_secret: { type: "string" },
-                fingerprint: { type: "string" },
-                note: { required: true, type: "string" },
-                note_url: { type: "string" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations"
-        },
-        deleteAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.deleteAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization",
-            method: "DELETE",
-            params: { authorization_id: { required: true, type: "integer" } },
-            url: "/authorizations/:authorization_id"
-        },
-        deleteGrant: {
-            deprecated: "octokit.oauthAuthorizations.deleteGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-a-grant",
-            method: "DELETE",
-            params: { grant_id: { required: true, type: "integer" } },
-            url: "/applications/grants/:grant_id"
-        },
-        getAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.getAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization",
-            method: "GET",
-            params: { authorization_id: { required: true, type: "integer" } },
-            url: "/authorizations/:authorization_id"
-        },
-        getGrant: {
-            deprecated: "octokit.oauthAuthorizations.getGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant",
-            method: "GET",
-            params: { grant_id: { required: true, type: "integer" } },
-            url: "/applications/grants/:grant_id"
-        },
-        getOrCreateAuthorizationForApp: {
-            deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForApp() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app",
-            method: "PUT",
-            params: {
-                client_id: { required: true, type: "string" },
-                client_secret: { required: true, type: "string" },
-                fingerprint: { type: "string" },
-                note: { type: "string" },
-                note_url: { type: "string" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations/clients/:client_id"
-        },
-        getOrCreateAuthorizationForAppAndFingerprint: {
-            deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint",
-            method: "PUT",
-            params: {
-                client_id: { required: true, type: "string" },
-                client_secret: { required: true, type: "string" },
-                fingerprint: { required: true, type: "string" },
-                note: { type: "string" },
-                note_url: { type: "string" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations/clients/:client_id/:fingerprint"
-        },
-        getOrCreateAuthorizationForAppFingerprint: {
-            deprecated: "octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint() has been renamed to octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() (2018-12-27)",
-            method: "PUT",
-            params: {
-                client_id: { required: true, type: "string" },
-                client_secret: { required: true, type: "string" },
-                fingerprint: { required: true, type: "string" },
-                note: { type: "string" },
-                note_url: { type: "string" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations/clients/:client_id/:fingerprint"
-        },
-        listAuthorizations: {
-            deprecated: "octokit.oauthAuthorizations.listAuthorizations() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations",
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/authorizations"
-        },
-        listGrants: {
-            deprecated: "octokit.oauthAuthorizations.listGrants() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-grants",
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/applications/grants"
-        },
-        resetAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.resetAuthorization() has been renamed to octokit.apps.resetAuthorization() (2019-11-05)",
-            method: "POST",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        revokeAuthorizationForApplication: {
-            deprecated: "octokit.oauthAuthorizations.revokeAuthorizationForApplication() has been renamed to octokit.apps.revokeAuthorizationForApplication() (2019-11-05)",
-            method: "DELETE",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/tokens/:access_token"
-        },
-        revokeGrantForApplication: {
-            deprecated: "octokit.oauthAuthorizations.revokeGrantForApplication() has been renamed to octokit.apps.revokeGrantForApplication() (2019-11-05)",
-            method: "DELETE",
-            params: {
-                access_token: { required: true, type: "string" },
-                client_id: { required: true, type: "string" }
-            },
-            url: "/applications/:client_id/grants/:access_token"
-        },
-        updateAuthorization: {
-            deprecated: "octokit.oauthAuthorizations.updateAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization",
-            method: "PATCH",
-            params: {
-                add_scopes: { type: "string[]" },
-                authorization_id: { required: true, type: "integer" },
-                fingerprint: { type: "string" },
-                note: { type: "string" },
-                note_url: { type: "string" },
-                remove_scopes: { type: "string[]" },
-                scopes: { type: "string[]" }
-            },
-            url: "/authorizations/:authorization_id"
-        }
+        cancelImport: ["DELETE /repos/{owner}/{repo}/import"],
+        deleteArchiveForAuthenticatedUser: [
+            "DELETE /user/migrations/{migration_id}/archive",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        deleteArchiveForOrg: [
+            "DELETE /orgs/{org}/migrations/{migration_id}/archive",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        downloadArchiveForOrg: [
+            "GET /orgs/{org}/migrations/{migration_id}/archive",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        getArchiveForAuthenticatedUser: [
+            "GET /user/migrations/{migration_id}/archive",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        getCommitAuthors: ["GET /repos/{owner}/{repo}/import/authors"],
+        getImportStatus: ["GET /repos/{owner}/{repo}/import"],
+        getLargeFiles: ["GET /repos/{owner}/{repo}/import/large_files"],
+        getStatusForAuthenticatedUser: [
+            "GET /user/migrations/{migration_id}",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        getStatusForOrg: [
+            "GET /orgs/{org}/migrations/{migration_id}",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        listForAuthenticatedUser: [
+            "GET /user/migrations",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        listForOrg: [
+            "GET /orgs/{org}/migrations",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        listReposForOrg: [
+            "GET /orgs/{org}/migrations/{migration_id}/repositories",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        listReposForUser: [
+            "GET /user/migrations/{migration_id}/repositories",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        mapCommitAuthor: ["PATCH /repos/{owner}/{repo}/import/authors/{author_id}"],
+        setLfsPreference: ["PATCH /repos/{owner}/{repo}/import/lfs"],
+        startForAuthenticatedUser: ["POST /user/migrations"],
+        startForOrg: ["POST /orgs/{org}/migrations"],
+        startImport: ["PUT /repos/{owner}/{repo}/import"],
+        unlockRepoForAuthenticatedUser: [
+            "DELETE /user/migrations/{migration_id}/repos/{repo_name}/lock",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        unlockRepoForOrg: [
+            "DELETE /orgs/{org}/migrations/{migration_id}/repos/{repo_name}/lock",
+            { mediaType: { previews: ["wyandotte"] } },
+        ],
+        updateImport: ["PATCH /repos/{owner}/{repo}/import"],
     },
     orgs: {
-        addOrUpdateMembership: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                role: { enum: ["admin", "member"], type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/memberships/:username"
-        },
-        blockUser: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/blocks/:username"
-        },
-        checkBlockedUser: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/blocks/:username"
-        },
-        checkMembership: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/members/:username"
-        },
-        checkPublicMembership: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/public_members/:username"
-        },
-        concealMembership: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/public_members/:username"
-        },
-        convertMemberToOutsideCollaborator: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/outside_collaborators/:username"
-        },
-        createHook: {
-            method: "POST",
-            params: {
-                active: { type: "boolean" },
-                config: { required: true, type: "object" },
-                "config.content_type": { type: "string" },
-                "config.insecure_ssl": { type: "string" },
-                "config.secret": { type: "string" },
-                "config.url": { required: true, type: "string" },
-                events: { type: "string[]" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks"
-        },
-        createInvitation: {
-            method: "POST",
-            params: {
-                email: { type: "string" },
-                invitee_id: { type: "integer" },
-                org: { required: true, type: "string" },
-                role: {
-                    enum: ["admin", "direct_member", "billing_manager"],
-                    type: "string"
-                },
-                team_ids: { type: "integer[]" }
-            },
-            url: "/orgs/:org/invitations"
-        },
-        deleteHook: {
-            method: "DELETE",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks/:hook_id"
-        },
-        get: {
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org"
-        },
-        getHook: {
-            method: "GET",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks/:hook_id"
-        },
-        getMembership: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/memberships/:username"
-        },
-        getMembershipForAuthenticatedUser: {
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/user/memberships/orgs/:org"
-        },
-        list: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "integer" }
-            },
-            url: "/organizations"
-        },
-        listBlockedUsers: {
-            method: "GET",
-            params: { org: { required: true, type: "string" } },
-            url: "/orgs/:org/blocks"
-        },
-        listForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/orgs"
-        },
-        listForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/orgs"
-        },
-        listHooks: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/hooks"
-        },
-        listInstallations: {
-            headers: { accept: "application/vnd.github.machine-man-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/installations"
-        },
-        listInvitationTeams: {
-            method: "GET",
-            params: {
-                invitation_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/invitations/:invitation_id/teams"
-        },
-        listMembers: {
-            method: "GET",
-            params: {
-                filter: { enum: ["2fa_disabled", "all"], type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                role: { enum: ["all", "admin", "member"], type: "string" }
-            },
-            url: "/orgs/:org/members"
-        },
-        listMemberships: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                state: { enum: ["active", "pending"], type: "string" }
-            },
-            url: "/user/memberships/orgs"
-        },
-        listOutsideCollaborators: {
-            method: "GET",
-            params: {
-                filter: { enum: ["2fa_disabled", "all"], type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/outside_collaborators"
-        },
-        listPendingInvitations: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/invitations"
-        },
-        listPublicMembers: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/public_members"
-        },
-        pingHook: {
-            method: "POST",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks/:hook_id/pings"
-        },
-        publicizeMembership: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/public_members/:username"
-        },
-        removeMember: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/members/:username"
-        },
-        removeMembership: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/memberships/:username"
-        },
-        removeOutsideCollaborator: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/outside_collaborators/:username"
-        },
-        unblockUser: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/blocks/:username"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                billing_email: { type: "string" },
-                company: { type: "string" },
-                default_repository_permission: {
-                    enum: ["read", "write", "admin", "none"],
-                    type: "string"
-                },
-                description: { type: "string" },
-                email: { type: "string" },
-                has_organization_projects: { type: "boolean" },
-                has_repository_projects: { type: "boolean" },
-                location: { type: "string" },
-                members_allowed_repository_creation_type: {
-                    enum: ["all", "private", "none"],
-                    type: "string"
-                },
-                members_can_create_internal_repositories: { type: "boolean" },
-                members_can_create_private_repositories: { type: "boolean" },
-                members_can_create_public_repositories: { type: "boolean" },
-                members_can_create_repositories: { type: "boolean" },
-                name: { type: "string" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org"
-        },
-        updateHook: {
-            method: "PATCH",
-            params: {
-                active: { type: "boolean" },
-                config: { type: "object" },
-                "config.content_type": { type: "string" },
-                "config.insecure_ssl": { type: "string" },
-                "config.secret": { type: "string" },
-                "config.url": { required: true, type: "string" },
-                events: { type: "string[]" },
-                hook_id: { required: true, type: "integer" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/hooks/:hook_id"
-        },
-        updateMembership: {
-            method: "PATCH",
-            params: {
-                org: { required: true, type: "string" },
-                state: { enum: ["active"], required: true, type: "string" }
-            },
-            url: "/user/memberships/orgs/:org"
-        }
+        blockUser: ["PUT /orgs/{org}/blocks/{username}"],
+        checkBlockedUser: ["GET /orgs/{org}/blocks/{username}"],
+        checkMembershipForUser: ["GET /orgs/{org}/members/{username}"],
+        checkPublicMembershipForUser: ["GET /orgs/{org}/public_members/{username}"],
+        convertMemberToOutsideCollaborator: [
+            "PUT /orgs/{org}/outside_collaborators/{username}",
+        ],
+        createInvitation: ["POST /orgs/{org}/invitations"],
+        createWebhook: ["POST /orgs/{org}/hooks"],
+        deleteWebhook: ["DELETE /orgs/{org}/hooks/{hook_id}"],
+        get: ["GET /orgs/{org}"],
+        getMembershipForAuthenticatedUser: ["GET /user/memberships/orgs/{org}"],
+        getMembershipForUser: ["GET /orgs/{org}/memberships/{username}"],
+        getWebhook: ["GET /orgs/{org}/hooks/{hook_id}"],
+        list: ["GET /organizations"],
+        listAppInstallations: [
+            "GET /orgs/{org}/installations",
+            { mediaType: { previews: ["machine-man"] } },
+        ],
+        listBlockedUsers: ["GET /orgs/{org}/blocks"],
+        listForAuthenticatedUser: ["GET /user/orgs"],
+        listForUser: ["GET /users/{username}/orgs"],
+        listInvitationTeams: ["GET /orgs/{org}/invitations/{invitation_id}/teams"],
+        listMembers: ["GET /orgs/{org}/members"],
+        listMembershipsForAuthenticatedUser: ["GET /user/memberships/orgs"],
+        listOutsideCollaborators: ["GET /orgs/{org}/outside_collaborators"],
+        listPendingInvitations: ["GET /orgs/{org}/invitations"],
+        listPublicMembers: ["GET /orgs/{org}/public_members"],
+        listWebhooks: ["GET /orgs/{org}/hooks"],
+        pingWebhook: ["POST /orgs/{org}/hooks/{hook_id}/pings"],
+        removeMember: ["DELETE /orgs/{org}/members/{username}"],
+        removeMembershipForUser: ["DELETE /orgs/{org}/memberships/{username}"],
+        removeOutsideCollaborator: [
+            "DELETE /orgs/{org}/outside_collaborators/{username}",
+        ],
+        removePublicMembershipForAuthenticatedUser: [
+            "DELETE /orgs/{org}/public_members/{username}",
+        ],
+        setMembershipForUser: ["PUT /orgs/{org}/memberships/{username}"],
+        setPublicMembershipForAuthenticatedUser: [
+            "PUT /orgs/{org}/public_members/{username}",
+        ],
+        unblockUser: ["DELETE /orgs/{org}/blocks/{username}"],
+        update: ["PATCH /orgs/{org}"],
+        updateMembershipForAuthenticatedUser: [
+            "PATCH /user/memberships/orgs/{org}",
+        ],
+        updateWebhook: ["PATCH /orgs/{org}/hooks/{hook_id}"],
     },
     projects: {
-        addCollaborator: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PUT",
-            params: {
-                permission: { enum: ["read", "write", "admin"], type: "string" },
-                project_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/projects/:project_id/collaborators/:username"
-        },
-        createCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                column_id: { required: true, type: "integer" },
-                content_id: { type: "integer" },
-                content_type: { type: "string" },
-                note: { type: "string" }
-            },
-            url: "/projects/columns/:column_id/cards"
-        },
-        createColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                name: { required: true, type: "string" },
-                project_id: { required: true, type: "integer" }
-            },
-            url: "/projects/:project_id/columns"
-        },
-        createForAuthenticatedUser: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                name: { required: true, type: "string" }
-            },
-            url: "/user/projects"
-        },
-        createForOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/projects"
-        },
-        createForRepo: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                name: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/projects"
-        },
-        delete: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "DELETE",
-            params: { project_id: { required: true, type: "integer" } },
-            url: "/projects/:project_id"
-        },
-        deleteCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "DELETE",
-            params: { card_id: { required: true, type: "integer" } },
-            url: "/projects/columns/cards/:card_id"
-        },
-        deleteColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "DELETE",
-            params: { column_id: { required: true, type: "integer" } },
-            url: "/projects/columns/:column_id"
-        },
-        get: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: { project_id: { required: true, type: "integer" } },
-            url: "/projects/:project_id"
-        },
-        getCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: { card_id: { required: true, type: "integer" } },
-            url: "/projects/columns/cards/:card_id"
-        },
-        getColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: { column_id: { required: true, type: "integer" } },
-            url: "/projects/columns/:column_id"
-        },
-        listCards: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                archived_state: {
-                    enum: ["all", "archived", "not_archived"],
-                    type: "string"
-                },
-                column_id: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/projects/columns/:column_id/cards"
-        },
-        listCollaborators: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                affiliation: { enum: ["outside", "direct", "all"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                project_id: { required: true, type: "integer" }
-            },
-            url: "/projects/:project_id/collaborators"
-        },
-        listColumns: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                project_id: { required: true, type: "integer" }
-            },
-            url: "/projects/:project_id/columns"
-        },
-        listForOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/orgs/:org/projects"
-        },
-        listForRepo: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/projects"
-        },
-        listForUser: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                state: { enum: ["open", "closed", "all"], type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/projects"
-        },
-        moveCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                card_id: { required: true, type: "integer" },
-                column_id: { type: "integer" },
-                position: {
-                    required: true,
-                    type: "string",
-                    validation: "^(top|bottom|after:\\d+)$"
-                }
-            },
-            url: "/projects/columns/cards/:card_id/moves"
-        },
-        moveColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "POST",
-            params: {
-                column_id: { required: true, type: "integer" },
-                position: {
-                    required: true,
-                    type: "string",
-                    validation: "^(first|last|after:\\d+)$"
-                }
-            },
-            url: "/projects/columns/:column_id/moves"
-        },
-        removeCollaborator: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "DELETE",
-            params: {
-                project_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/projects/:project_id/collaborators/:username"
-        },
-        reviewUserPermissionLevel: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                project_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/projects/:project_id/collaborators/:username/permission"
-        },
-        update: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                name: { type: "string" },
-                organization_permission: { type: "string" },
-                private: { type: "boolean" },
-                project_id: { required: true, type: "integer" },
-                state: { enum: ["open", "closed"], type: "string" }
-            },
-            url: "/projects/:project_id"
-        },
-        updateCard: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PATCH",
-            params: {
-                archived: { type: "boolean" },
-                card_id: { required: true, type: "integer" },
-                note: { type: "string" }
-            },
-            url: "/projects/columns/cards/:card_id"
-        },
-        updateColumn: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PATCH",
-            params: {
-                column_id: { required: true, type: "integer" },
-                name: { required: true, type: "string" }
-            },
-            url: "/projects/columns/:column_id"
-        }
+        addCollaborator: [
+            "PUT /projects/{project_id}/collaborators/{username}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createCard: [
+            "POST /projects/columns/{column_id}/cards",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createColumn: [
+            "POST /projects/{project_id}/columns",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createForAuthenticatedUser: [
+            "POST /user/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createForOrg: [
+            "POST /orgs/{org}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        createForRepo: [
+            "POST /repos/{owner}/{repo}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        delete: [
+            "DELETE /projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        deleteCard: [
+            "DELETE /projects/columns/cards/{card_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        deleteColumn: [
+            "DELETE /projects/columns/{column_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        get: [
+            "GET /projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        getCard: [
+            "GET /projects/columns/cards/{card_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        getColumn: [
+            "GET /projects/columns/{column_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        getPermissionForUser: [
+            "GET /projects/{project_id}/collaborators/{username}/permission",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listCards: [
+            "GET /projects/columns/{column_id}/cards",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listCollaborators: [
+            "GET /projects/{project_id}/collaborators",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listColumns: [
+            "GET /projects/{project_id}/columns",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listForOrg: [
+            "GET /orgs/{org}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listForRepo: [
+            "GET /repos/{owner}/{repo}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listForUser: [
+            "GET /users/{username}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        moveCard: [
+            "POST /projects/columns/cards/{card_id}/moves",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        moveColumn: [
+            "POST /projects/columns/{column_id}/moves",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        removeCollaborator: [
+            "DELETE /projects/{project_id}/collaborators/{username}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        update: [
+            "PATCH /projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        updateCard: [
+            "PATCH /projects/columns/cards/{card_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        updateColumn: [
+            "PATCH /projects/columns/{column_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
     },
     pulls: {
-        checkIfMerged: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/merge"
-        },
-        create: {
-            method: "POST",
-            params: {
-                base: { required: true, type: "string" },
-                body: { type: "string" },
-                draft: { type: "boolean" },
-                head: { required: true, type: "string" },
-                maintainer_can_modify: { type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                title: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls"
-        },
-        createComment: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                commit_id: { required: true, type: "string" },
-                in_reply_to: {
-                    deprecated: true,
-                    description: "The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.",
-                    type: "integer"
-                },
-                line: { type: "integer" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                position: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                side: { enum: ["LEFT", "RIGHT"], type: "string" },
-                start_line: { type: "integer" },
-                start_side: { enum: ["LEFT", "RIGHT", "side"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/comments"
-        },
-        createCommentReply: {
-            deprecated: "octokit.pulls.createCommentReply() has been renamed to octokit.pulls.createComment() (2019-09-09)",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                commit_id: { required: true, type: "string" },
-                in_reply_to: {
-                    deprecated: true,
-                    description: "The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.",
-                    type: "integer"
-                },
-                line: { type: "integer" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                position: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                side: { enum: ["LEFT", "RIGHT"], type: "string" },
-                start_line: { type: "integer" },
-                start_side: { enum: ["LEFT", "RIGHT", "side"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/comments"
-        },
-        createFromIssue: {
-            deprecated: "octokit.pulls.createFromIssue() is deprecated, see https://developer.github.com/v3/pulls/#create-a-pull-request",
-            method: "POST",
-            params: {
-                base: { required: true, type: "string" },
-                draft: { type: "boolean" },
-                head: { required: true, type: "string" },
-                issue: { required: true, type: "integer" },
-                maintainer_can_modify: { type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls"
-        },
-        createReview: {
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                comments: { type: "object[]" },
-                "comments[].body": { required: true, type: "string" },
-                "comments[].path": { required: true, type: "string" },
-                "comments[].position": { required: true, type: "integer" },
-                commit_id: { type: "string" },
-                event: {
-                    enum: ["APPROVE", "REQUEST_CHANGES", "COMMENT"],
-                    type: "string"
-                },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews"
-        },
-        createReviewCommentReply: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies"
-        },
-        createReviewRequest: {
-            method: "POST",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                reviewers: { type: "string[]" },
-                team_reviewers: { type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers"
-        },
-        deleteComment: {
-            method: "DELETE",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id"
-        },
-        deletePendingReview: {
-            method: "DELETE",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"
-        },
-        deleteReviewRequest: {
-            method: "DELETE",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                reviewers: { type: "string[]" },
-                team_reviewers: { type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers"
-        },
-        dismissReview: {
-            method: "PUT",
-            params: {
-                message: { required: true, type: "string" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals"
-        },
-        get: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number"
-        },
-        getComment: {
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id"
-        },
-        getCommentsForReview: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments"
-        },
-        getReview: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"
-        },
-        list: {
-            method: "GET",
-            params: {
-                base: { type: "string" },
-                direction: { enum: ["asc", "desc"], type: "string" },
-                head: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sort: {
-                    enum: ["created", "updated", "popularity", "long-running"],
-                    type: "string"
-                },
-                state: { enum: ["open", "closed", "all"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls"
-        },
-        listComments: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/comments"
-        },
-        listCommentsForRepo: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                since: { type: "string" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments"
-        },
-        listCommits: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/commits"
-        },
-        listFiles: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/files"
-        },
-        listReviewRequests: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers"
-        },
-        listReviews: {
-            method: "GET",
-            params: {
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews"
-        },
-        merge: {
-            method: "PUT",
-            params: {
-                commit_message: { type: "string" },
-                commit_title: { type: "string" },
-                merge_method: { enum: ["merge", "squash", "rebase"], type: "string" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/merge"
-        },
-        submitReview: {
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                event: {
-                    enum: ["APPROVE", "REQUEST_CHANGES", "COMMENT"],
-                    required: true,
-                    type: "string"
-                },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                base: { type: "string" },
-                body: { type: "string" },
-                maintainer_can_modify: { type: "boolean" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                state: { enum: ["open", "closed"], type: "string" },
-                title: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number"
-        },
-        updateBranch: {
-            headers: { accept: "application/vnd.github.lydian-preview+json" },
-            method: "PUT",
-            params: {
-                expected_head_sha: { type: "string" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/update-branch"
-        },
-        updateComment: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id"
-        },
-        updateReview: {
-            method: "PUT",
-            params: {
-                body: { required: true, type: "string" },
-                number: { alias: "pull_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                pull_number: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                review_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id"
-        }
+        checkIfMerged: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/merge"],
+        create: ["POST /repos/{owner}/{repo}/pulls"],
+        createReplyForReviewComment: [
+            "POST /repos/{owner}/{repo}/pulls/{pull_number}/comments/{comment_id}/replies",
+        ],
+        createReview: ["POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews"],
+        createReviewComment: [
+            "POST /repos/{owner}/{repo}/pulls/{pull_number}/comments",
+        ],
+        deletePendingReview: [
+            "DELETE /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}",
+        ],
+        deleteReviewComment: [
+            "DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}",
+        ],
+        dismissReview: [
+            "PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/dismissals",
+        ],
+        get: ["GET /repos/{owner}/{repo}/pulls/{pull_number}"],
+        getReview: [
+            "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}",
+        ],
+        getReviewComment: ["GET /repos/{owner}/{repo}/pulls/comments/{comment_id}"],
+        list: ["GET /repos/{owner}/{repo}/pulls"],
+        listCommentsForReview: [
+            "GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments",
+        ],
+        listCommits: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/commits"],
+        listFiles: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/files"],
+        listRequestedReviewers: [
+            "GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers",
+        ],
+        listReviewComments: [
+            "GET /repos/{owner}/{repo}/pulls/{pull_number}/comments",
+        ],
+        listReviewCommentsForRepo: ["GET /repos/{owner}/{repo}/pulls/comments"],
+        listReviews: ["GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews"],
+        merge: ["PUT /repos/{owner}/{repo}/pulls/{pull_number}/merge"],
+        removeRequestedReviewers: [
+            "DELETE /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers",
+        ],
+        requestReviewers: [
+            "POST /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers",
+        ],
+        submitReview: [
+            "POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/events",
+        ],
+        update: ["PATCH /repos/{owner}/{repo}/pulls/{pull_number}"],
+        updateBranch: [
+            "PUT /repos/{owner}/{repo}/pulls/{pull_number}/update-branch",
+            { mediaType: { previews: ["lydian"] } },
+        ],
+        updateReview: [
+            "PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}",
+        ],
+        updateReviewComment: [
+            "PATCH /repos/{owner}/{repo}/pulls/comments/{comment_id}",
+        ],
     },
-    rateLimit: { get: { method: "GET", params: {}, url: "/rate_limit" } },
+    rateLimit: { get: ["GET /rate_limit"] },
     reactions: {
-        createForCommitComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id/reactions"
-        },
-        createForIssue: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/reactions"
-        },
-        createForIssueComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id/reactions"
-        },
-        createForPullRequestReviewComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id/reactions"
-        },
-        createForTeamDiscussion: {
-            deprecated: "octokit.reactions.createForTeamDiscussion() has been renamed to octokit.reactions.createForTeamDiscussionLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/reactions"
-        },
-        createForTeamDiscussionComment: {
-            deprecated: "octokit.reactions.createForTeamDiscussionComment() has been renamed to octokit.reactions.createForTeamDiscussionCommentLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        createForTeamDiscussionCommentInOrg: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        createForTeamDiscussionCommentLegacy: {
-            deprecated: "octokit.reactions.createForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        createForTeamDiscussionInOrg: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"
-        },
-        createForTeamDiscussionLegacy: {
-            deprecated: "octokit.reactions.createForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "POST",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/reactions"
-        },
-        delete: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "DELETE",
-            params: { reaction_id: { required: true, type: "integer" } },
-            url: "/reactions/:reaction_id"
-        },
-        listForCommitComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id/reactions"
-        },
-        listForIssue: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                issue_number: { required: true, type: "integer" },
-                number: { alias: "issue_number", deprecated: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/:issue_number/reactions"
-        },
-        listForIssueComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/issues/comments/:comment_id/reactions"
-        },
-        listForPullRequestReviewComment: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pulls/comments/:comment_id/reactions"
-        },
-        listForTeamDiscussion: {
-            deprecated: "octokit.reactions.listForTeamDiscussion() has been renamed to octokit.reactions.listForTeamDiscussionLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/reactions"
-        },
-        listForTeamDiscussionComment: {
-            deprecated: "octokit.reactions.listForTeamDiscussionComment() has been renamed to octokit.reactions.listForTeamDiscussionCommentLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        listForTeamDiscussionCommentInOrg: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        listForTeamDiscussionCommentLegacy: {
-            deprecated: "octokit.reactions.listForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions"
-        },
-        listForTeamDiscussionInOrg: {
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions"
-        },
-        listForTeamDiscussionLegacy: {
-            deprecated: "octokit.reactions.listForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy",
-            headers: { accept: "application/vnd.github.squirrel-girl-preview+json" },
-            method: "GET",
-            params: {
-                content: {
-                    enum: [
-                        "+1",
-                        "-1",
-                        "laugh",
-                        "confused",
-                        "heart",
-                        "hooray",
-                        "rocket",
-                        "eyes"
-                    ],
-                    type: "string"
-                },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/reactions"
-        }
+        createForCommitComment: [
+            "POST /repos/{owner}/{repo}/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForIssue: [
+            "POST /repos/{owner}/{repo}/issues/{issue_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForIssueComment: [
+            "POST /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForPullRequestReviewComment: [
+            "POST /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForTeamDiscussionCommentInOrg: [
+            "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        createForTeamDiscussionInOrg: [
+            "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForCommitComment: [
+            "DELETE /repos/{owner}/{repo}/comments/{comment_id}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForIssue: [
+            "DELETE /repos/{owner}/{repo}/issues/{issue_number}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForIssueComment: [
+            "DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForPullRequestComment: [
+            "DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForTeamDiscussion: [
+            "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteForTeamDiscussionComment: [
+            "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        deleteLegacy: [
+            "DELETE /reactions/{reaction_id}",
+            { mediaType: { previews: ["squirrel-girl"] } },
+            {
+                deprecated: "octokit.reactions.deleteLegacy() is deprecated, see https://developer.github.com/v3/reactions/#delete-a-reaction-legacy",
+            },
+        ],
+        listForCommitComment: [
+            "GET /repos/{owner}/{repo}/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForIssue: [
+            "GET /repos/{owner}/{repo}/issues/{issue_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForIssueComment: [
+            "GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForPullRequestReviewComment: [
+            "GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForTeamDiscussionCommentInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
+        listForTeamDiscussionInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions",
+            { mediaType: { previews: ["squirrel-girl"] } },
+        ],
     },
     repos: {
-        acceptInvitation: {
-            method: "PATCH",
-            params: { invitation_id: { required: true, type: "integer" } },
-            url: "/user/repository_invitations/:invitation_id"
-        },
-        addCollaborator: {
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                repo: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators/:username"
-        },
-        addDeployKey: {
-            method: "POST",
-            params: {
-                key: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                read_only: { type: "boolean" },
-                repo: { required: true, type: "string" },
-                title: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/keys"
-        },
-        addProtectedBranchAdminEnforcement: {
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins"
-        },
-        addProtectedBranchAppRestrictions: {
-            method: "POST",
-            params: {
-                apps: { mapTo: "data", required: true, type: "string[]" },
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        addProtectedBranchRequiredSignatures: {
-            headers: { accept: "application/vnd.github.zzzax-preview+json" },
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures"
-        },
-        addProtectedBranchRequiredStatusChecksContexts: {
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                contexts: { mapTo: "data", required: true, type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-        },
-        addProtectedBranchTeamRestrictions: {
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                teams: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        addProtectedBranchUserRestrictions: {
-            method: "POST",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                users: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        checkCollaborator: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators/:username"
-        },
-        checkVulnerabilityAlerts: {
-            headers: { accept: "application/vnd.github.dorian-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/vulnerability-alerts"
-        },
-        compareCommits: {
-            method: "GET",
-            params: {
-                base: { required: true, type: "string" },
-                head: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/compare/:base...:head"
-        },
-        createCommitComment: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                commit_sha: { required: true, type: "string" },
-                line: { type: "integer" },
-                owner: { required: true, type: "string" },
-                path: { type: "string" },
-                position: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sha: { alias: "commit_sha", deprecated: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:commit_sha/comments"
-        },
-        createDeployment: {
-            method: "POST",
-            params: {
-                auto_merge: { type: "boolean" },
-                description: { type: "string" },
-                environment: { type: "string" },
-                owner: { required: true, type: "string" },
-                payload: { type: "string" },
-                production_environment: { type: "boolean" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                required_contexts: { type: "string[]" },
-                task: { type: "string" },
-                transient_environment: { type: "boolean" }
-            },
-            url: "/repos/:owner/:repo/deployments"
-        },
-        createDeploymentStatus: {
-            method: "POST",
-            params: {
-                auto_inactive: { type: "boolean" },
-                deployment_id: { required: true, type: "integer" },
-                description: { type: "string" },
-                environment: { enum: ["production", "staging", "qa"], type: "string" },
-                environment_url: { type: "string" },
-                log_url: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                state: {
-                    enum: [
-                        "error",
-                        "failure",
-                        "inactive",
-                        "in_progress",
-                        "queued",
-                        "pending",
-                        "success"
-                    ],
-                    required: true,
-                    type: "string"
-                },
-                target_url: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/deployments/:deployment_id/statuses"
-        },
-        createDispatchEvent: {
-            method: "POST",
-            params: {
-                client_payload: { type: "object" },
-                event_type: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/dispatches"
-        },
-        createFile: {
-            deprecated: "octokit.repos.createFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)",
-            method: "PUT",
-            params: {
-                author: { type: "object" },
-                "author.email": { required: true, type: "string" },
-                "author.name": { required: true, type: "string" },
-                branch: { type: "string" },
-                committer: { type: "object" },
-                "committer.email": { required: true, type: "string" },
-                "committer.name": { required: true, type: "string" },
-                content: { required: true, type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        createForAuthenticatedUser: {
-            method: "POST",
-            params: {
-                allow_merge_commit: { type: "boolean" },
-                allow_rebase_merge: { type: "boolean" },
-                allow_squash_merge: { type: "boolean" },
-                auto_init: { type: "boolean" },
-                delete_branch_on_merge: { type: "boolean" },
-                description: { type: "string" },
-                gitignore_template: { type: "string" },
-                has_issues: { type: "boolean" },
-                has_projects: { type: "boolean" },
-                has_wiki: { type: "boolean" },
-                homepage: { type: "string" },
-                is_template: { type: "boolean" },
-                license_template: { type: "string" },
-                name: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_id: { type: "integer" },
-                visibility: {
-                    enum: ["public", "private", "visibility", "internal"],
-                    type: "string"
-                }
-            },
-            url: "/user/repos"
-        },
-        createFork: {
-            method: "POST",
-            params: {
-                organization: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/forks"
-        },
-        createHook: {
-            method: "POST",
-            params: {
-                active: { type: "boolean" },
-                config: { required: true, type: "object" },
-                "config.content_type": { type: "string" },
-                "config.insecure_ssl": { type: "string" },
-                "config.secret": { type: "string" },
-                "config.url": { required: true, type: "string" },
-                events: { type: "string[]" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks"
-        },
-        createInOrg: {
-            method: "POST",
-            params: {
-                allow_merge_commit: { type: "boolean" },
-                allow_rebase_merge: { type: "boolean" },
-                allow_squash_merge: { type: "boolean" },
-                auto_init: { type: "boolean" },
-                delete_branch_on_merge: { type: "boolean" },
-                description: { type: "string" },
-                gitignore_template: { type: "string" },
-                has_issues: { type: "boolean" },
-                has_projects: { type: "boolean" },
-                has_wiki: { type: "boolean" },
-                homepage: { type: "string" },
-                is_template: { type: "boolean" },
-                license_template: { type: "string" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_id: { type: "integer" },
-                visibility: {
-                    enum: ["public", "private", "visibility", "internal"],
-                    type: "string"
-                }
-            },
-            url: "/orgs/:org/repos"
-        },
-        createOrUpdateFile: {
-            method: "PUT",
-            params: {
-                author: { type: "object" },
-                "author.email": { required: true, type: "string" },
-                "author.name": { required: true, type: "string" },
-                branch: { type: "string" },
-                committer: { type: "object" },
-                "committer.email": { required: true, type: "string" },
-                "committer.name": { required: true, type: "string" },
-                content: { required: true, type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        createRelease: {
-            method: "POST",
-            params: {
-                body: { type: "string" },
-                draft: { type: "boolean" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                prerelease: { type: "boolean" },
-                repo: { required: true, type: "string" },
-                tag_name: { required: true, type: "string" },
-                target_commitish: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases"
-        },
-        createStatus: {
-            method: "POST",
-            params: {
-                context: { type: "string" },
-                description: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { required: true, type: "string" },
-                state: {
-                    enum: ["error", "failure", "pending", "success"],
-                    required: true,
-                    type: "string"
-                },
-                target_url: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/statuses/:sha"
-        },
-        createUsingTemplate: {
-            headers: { accept: "application/vnd.github.baptiste-preview+json" },
-            method: "POST",
-            params: {
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                owner: { type: "string" },
-                private: { type: "boolean" },
-                template_owner: { required: true, type: "string" },
-                template_repo: { required: true, type: "string" }
-            },
-            url: "/repos/:template_owner/:template_repo/generate"
-        },
-        declineInvitation: {
-            method: "DELETE",
-            params: { invitation_id: { required: true, type: "integer" } },
-            url: "/user/repository_invitations/:invitation_id"
-        },
-        delete: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo"
-        },
-        deleteCommitComment: {
-            method: "DELETE",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id"
-        },
-        deleteDownload: {
-            method: "DELETE",
-            params: {
-                download_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/downloads/:download_id"
-        },
-        deleteFile: {
-            method: "DELETE",
-            params: {
-                author: { type: "object" },
-                "author.email": { type: "string" },
-                "author.name": { type: "string" },
-                branch: { type: "string" },
-                committer: { type: "object" },
-                "committer.email": { type: "string" },
-                "committer.name": { type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        deleteHook: {
-            method: "DELETE",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id"
-        },
-        deleteInvitation: {
-            method: "DELETE",
-            params: {
-                invitation_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/invitations/:invitation_id"
-        },
-        deleteRelease: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                release_id: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/:release_id"
-        },
-        deleteReleaseAsset: {
-            method: "DELETE",
-            params: {
-                asset_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/assets/:asset_id"
-        },
-        disableAutomatedSecurityFixes: {
-            headers: { accept: "application/vnd.github.london-preview+json" },
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/automated-security-fixes"
-        },
-        disablePagesSite: {
-            headers: { accept: "application/vnd.github.switcheroo-preview+json" },
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages"
-        },
-        disableVulnerabilityAlerts: {
-            headers: { accept: "application/vnd.github.dorian-preview+json" },
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/vulnerability-alerts"
-        },
-        enableAutomatedSecurityFixes: {
-            headers: { accept: "application/vnd.github.london-preview+json" },
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/automated-security-fixes"
-        },
-        enablePagesSite: {
-            headers: { accept: "application/vnd.github.switcheroo-preview+json" },
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                source: { type: "object" },
-                "source.branch": { enum: ["master", "gh-pages"], type: "string" },
-                "source.path": { type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages"
-        },
-        enableVulnerabilityAlerts: {
-            headers: { accept: "application/vnd.github.dorian-preview+json" },
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/vulnerability-alerts"
-        },
-        get: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo"
-        },
-        getAppsWithAccessToProtectedBranch: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        getArchiveLink: {
-            method: "GET",
-            params: {
-                archive_format: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/:archive_format/:ref"
-        },
-        getBranch: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch"
-        },
-        getBranchProtection: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection"
-        },
-        getClones: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                per: { enum: ["day", "week"], type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/traffic/clones"
-        },
-        getCodeFrequencyStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/code_frequency"
-        },
-        getCollaboratorPermissionLevel: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators/:username/permission"
-        },
-        getCombinedStatusForRef: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref/status"
-        },
-        getCommit: {
-            method: "GET",
-            params: {
-                commit_sha: { alias: "ref", deprecated: true, type: "string" },
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { alias: "ref", deprecated: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref"
-        },
-        getCommitActivityStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/commit_activity"
-        },
-        getCommitComment: {
-            method: "GET",
-            params: {
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id"
-        },
-        getCommitRefSha: {
-            deprecated: "octokit.repos.getCommitRefSha() is deprecated, see https://developer.github.com/v3/repos/commits/#get-a-single-commit",
-            headers: { accept: "application/vnd.github.v3.sha" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref"
-        },
-        getContents: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                ref: { type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        getContributorsStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/contributors"
-        },
-        getDeployKey: {
-            method: "GET",
-            params: {
-                key_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/keys/:key_id"
-        },
-        getDeployment: {
-            method: "GET",
-            params: {
-                deployment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/deployments/:deployment_id"
-        },
-        getDeploymentStatus: {
-            method: "GET",
-            params: {
-                deployment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                status_id: { required: true, type: "integer" }
-            },
-            url: "/repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id"
-        },
-        getDownload: {
-            method: "GET",
-            params: {
-                download_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/downloads/:download_id"
-        },
-        getHook: {
-            method: "GET",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id"
-        },
-        getLatestPagesBuild: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages/builds/latest"
-        },
-        getLatestRelease: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/latest"
-        },
-        getPages: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages"
-        },
-        getPagesBuild: {
-            method: "GET",
-            params: {
-                build_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages/builds/:build_id"
-        },
-        getParticipationStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/participation"
-        },
-        getProtectedBranchAdminEnforcement: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins"
-        },
-        getProtectedBranchPullRequestReviewEnforcement: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-        },
-        getProtectedBranchRequiredSignatures: {
-            headers: { accept: "application/vnd.github.zzzax-preview+json" },
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures"
-        },
-        getProtectedBranchRequiredStatusChecks: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks"
-        },
-        getProtectedBranchRestrictions: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions"
-        },
-        getPunchCardStats: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/stats/punch_card"
-        },
-        getReadme: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                ref: { type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/readme"
-        },
-        getRelease: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                release_id: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/:release_id"
-        },
-        getReleaseAsset: {
-            method: "GET",
-            params: {
-                asset_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/assets/:asset_id"
-        },
-        getReleaseByTag: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                tag: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/tags/:tag"
-        },
-        getTeamsWithAccessToProtectedBranch: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        getTopPaths: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/traffic/popular/paths"
-        },
-        getTopReferrers: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/traffic/popular/referrers"
-        },
-        getUsersWithAccessToProtectedBranch: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        getViews: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                per: { enum: ["day", "week"], type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/traffic/views"
-        },
-        list: {
-            method: "GET",
-            params: {
-                affiliation: { type: "string" },
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: {
-                    enum: ["created", "updated", "pushed", "full_name"],
-                    type: "string"
-                },
-                type: {
-                    enum: ["all", "owner", "public", "private", "member"],
-                    type: "string"
-                },
-                visibility: { enum: ["all", "public", "private"], type: "string" }
-            },
-            url: "/user/repos"
-        },
-        listAppsWithAccessToProtectedBranch: {
-            deprecated: "octokit.repos.listAppsWithAccessToProtectedBranch() has been renamed to octokit.repos.getAppsWithAccessToProtectedBranch() (2019-09-13)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        listAssetsForRelease: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                release_id: { required: true, type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/:release_id/assets"
-        },
-        listBranches: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                protected: { type: "boolean" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches"
-        },
-        listBranchesForHeadCommit: {
-            headers: { accept: "application/vnd.github.groot-preview+json" },
-            method: "GET",
-            params: {
-                commit_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:commit_sha/branches-where-head"
-        },
-        listCollaborators: {
-            method: "GET",
-            params: {
-                affiliation: { enum: ["outside", "direct", "all"], type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators"
-        },
-        listCommentsForCommit: {
-            method: "GET",
-            params: {
-                commit_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { alias: "commit_sha", deprecated: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:commit_sha/comments"
-        },
-        listCommitComments: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments"
-        },
-        listCommits: {
-            method: "GET",
-            params: {
-                author: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                path: { type: "string" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" },
-                since: { type: "string" },
-                until: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits"
-        },
-        listContributors: {
-            method: "GET",
-            params: {
-                anon: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/contributors"
-        },
-        listDeployKeys: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/keys"
-        },
-        listDeploymentStatuses: {
-            method: "GET",
-            params: {
-                deployment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/deployments/:deployment_id/statuses"
-        },
-        listDeployments: {
-            method: "GET",
-            params: {
-                environment: { type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" },
-                task: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/deployments"
-        },
-        listDownloads: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/downloads"
-        },
-        listForOrg: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: {
-                    enum: ["created", "updated", "pushed", "full_name"],
-                    type: "string"
-                },
-                type: {
-                    enum: [
-                        "all",
-                        "public",
-                        "private",
-                        "forks",
-                        "sources",
-                        "member",
-                        "internal"
-                    ],
-                    type: "string"
-                }
-            },
-            url: "/orgs/:org/repos"
-        },
-        listForUser: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                sort: {
-                    enum: ["created", "updated", "pushed", "full_name"],
-                    type: "string"
-                },
-                type: { enum: ["all", "owner", "member"], type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/repos"
-        },
-        listForks: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" },
-                sort: { enum: ["newest", "oldest", "stargazers"], type: "string" }
-            },
-            url: "/repos/:owner/:repo/forks"
-        },
-        listHooks: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks"
-        },
-        listInvitations: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/invitations"
-        },
-        listInvitationsForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/repository_invitations"
-        },
-        listLanguages: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/languages"
-        },
-        listPagesBuilds: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages/builds"
-        },
-        listProtectedBranchRequiredStatusChecksContexts: {
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-        },
-        listProtectedBranchTeamRestrictions: {
-            deprecated: "octokit.repos.listProtectedBranchTeamRestrictions() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-09)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        listProtectedBranchUserRestrictions: {
-            deprecated: "octokit.repos.listProtectedBranchUserRestrictions() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-09)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        listPublic: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "integer" }
-            },
-            url: "/repositories"
-        },
-        listPullRequestsAssociatedWithCommit: {
-            headers: { accept: "application/vnd.github.groot-preview+json" },
-            method: "GET",
-            params: {
-                commit_sha: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:commit_sha/pulls"
-        },
-        listReleases: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases"
-        },
-        listStatusesForRef: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                ref: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/commits/:ref/statuses"
-        },
-        listTags: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/tags"
-        },
-        listTeams: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/teams"
-        },
-        listTeamsWithAccessToProtectedBranch: {
-            deprecated: "octokit.repos.listTeamsWithAccessToProtectedBranch() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-13)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        listTopics: {
-            headers: { accept: "application/vnd.github.mercy-preview+json" },
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/topics"
-        },
-        listUsersWithAccessToProtectedBranch: {
-            deprecated: "octokit.repos.listUsersWithAccessToProtectedBranch() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-13)",
-            method: "GET",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        merge: {
-            method: "POST",
-            params: {
-                base: { required: true, type: "string" },
-                commit_message: { type: "string" },
-                head: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/merges"
-        },
-        pingHook: {
-            method: "POST",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id/pings"
-        },
-        removeBranchProtection: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection"
-        },
-        removeCollaborator: {
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/collaborators/:username"
-        },
-        removeDeployKey: {
-            method: "DELETE",
-            params: {
-                key_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/keys/:key_id"
-        },
-        removeProtectedBranchAdminEnforcement: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins"
-        },
-        removeProtectedBranchAppRestrictions: {
-            method: "DELETE",
-            params: {
-                apps: { mapTo: "data", required: true, type: "string[]" },
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        removeProtectedBranchPullRequestReviewEnforcement: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-        },
-        removeProtectedBranchRequiredSignatures: {
-            headers: { accept: "application/vnd.github.zzzax-preview+json" },
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures"
-        },
-        removeProtectedBranchRequiredStatusChecks: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks"
-        },
-        removeProtectedBranchRequiredStatusChecksContexts: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                contexts: { mapTo: "data", required: true, type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-        },
-        removeProtectedBranchRestrictions: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions"
-        },
-        removeProtectedBranchTeamRestrictions: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                teams: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        removeProtectedBranchUserRestrictions: {
-            method: "DELETE",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                users: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        replaceProtectedBranchAppRestrictions: {
-            method: "PUT",
-            params: {
-                apps: { mapTo: "data", required: true, type: "string[]" },
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps"
-        },
-        replaceProtectedBranchRequiredStatusChecksContexts: {
-            method: "PUT",
-            params: {
-                branch: { required: true, type: "string" },
-                contexts: { mapTo: "data", required: true, type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts"
-        },
-        replaceProtectedBranchTeamRestrictions: {
-            method: "PUT",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                teams: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams"
-        },
-        replaceProtectedBranchUserRestrictions: {
-            method: "PUT",
-            params: {
-                branch: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                users: { mapTo: "data", required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users"
-        },
-        replaceTopics: {
-            headers: { accept: "application/vnd.github.mercy-preview+json" },
-            method: "PUT",
-            params: {
-                names: { required: true, type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/topics"
-        },
-        requestPageBuild: {
-            method: "POST",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/pages/builds"
-        },
-        retrieveCommunityProfileMetrics: {
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/community/profile"
-        },
-        testPushHook: {
-            method: "POST",
-            params: {
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id/tests"
-        },
-        transfer: {
-            method: "POST",
-            params: {
-                new_owner: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_ids: { type: "integer[]" }
-            },
-            url: "/repos/:owner/:repo/transfer"
-        },
-        update: {
-            method: "PATCH",
-            params: {
-                allow_merge_commit: { type: "boolean" },
-                allow_rebase_merge: { type: "boolean" },
-                allow_squash_merge: { type: "boolean" },
-                archived: { type: "boolean" },
-                default_branch: { type: "string" },
-                delete_branch_on_merge: { type: "boolean" },
-                description: { type: "string" },
-                has_issues: { type: "boolean" },
-                has_projects: { type: "boolean" },
-                has_wiki: { type: "boolean" },
-                homepage: { type: "string" },
-                is_template: { type: "boolean" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                private: { type: "boolean" },
-                repo: { required: true, type: "string" },
-                visibility: {
-                    enum: ["public", "private", "visibility", "internal"],
-                    type: "string"
-                }
-            },
-            url: "/repos/:owner/:repo"
-        },
-        updateBranchProtection: {
-            method: "PUT",
-            params: {
-                allow_deletions: { type: "boolean" },
-                allow_force_pushes: { allowNull: true, type: "boolean" },
-                branch: { required: true, type: "string" },
-                enforce_admins: { allowNull: true, required: true, type: "boolean" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                required_linear_history: { type: "boolean" },
-                required_pull_request_reviews: {
-                    allowNull: true,
-                    required: true,
-                    type: "object"
-                },
-                "required_pull_request_reviews.dismiss_stale_reviews": {
-                    type: "boolean"
-                },
-                "required_pull_request_reviews.dismissal_restrictions": {
-                    type: "object"
-                },
-                "required_pull_request_reviews.dismissal_restrictions.teams": {
-                    type: "string[]"
-                },
-                "required_pull_request_reviews.dismissal_restrictions.users": {
-                    type: "string[]"
-                },
-                "required_pull_request_reviews.require_code_owner_reviews": {
-                    type: "boolean"
-                },
-                "required_pull_request_reviews.required_approving_review_count": {
-                    type: "integer"
-                },
-                required_status_checks: {
-                    allowNull: true,
-                    required: true,
-                    type: "object"
-                },
-                "required_status_checks.contexts": { required: true, type: "string[]" },
-                "required_status_checks.strict": { required: true, type: "boolean" },
-                restrictions: { allowNull: true, required: true, type: "object" },
-                "restrictions.apps": { type: "string[]" },
-                "restrictions.teams": { required: true, type: "string[]" },
-                "restrictions.users": { required: true, type: "string[]" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection"
-        },
-        updateCommitComment: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/comments/:comment_id"
-        },
-        updateFile: {
-            deprecated: "octokit.repos.updateFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)",
-            method: "PUT",
-            params: {
-                author: { type: "object" },
-                "author.email": { required: true, type: "string" },
-                "author.name": { required: true, type: "string" },
-                branch: { type: "string" },
-                committer: { type: "object" },
-                "committer.email": { required: true, type: "string" },
-                "committer.name": { required: true, type: "string" },
-                content: { required: true, type: "string" },
-                message: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                path: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                sha: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/contents/:path"
-        },
-        updateHook: {
-            method: "PATCH",
-            params: {
-                active: { type: "boolean" },
-                add_events: { type: "string[]" },
-                config: { type: "object" },
-                "config.content_type": { type: "string" },
-                "config.insecure_ssl": { type: "string" },
-                "config.secret": { type: "string" },
-                "config.url": { required: true, type: "string" },
-                events: { type: "string[]" },
-                hook_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                remove_events: { type: "string[]" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/hooks/:hook_id"
-        },
-        updateInformationAboutPagesSite: {
-            method: "PUT",
-            params: {
-                cname: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                source: {
-                    enum: ['"gh-pages"', '"master"', '"master /docs"'],
-                    type: "string"
-                }
-            },
-            url: "/repos/:owner/:repo/pages"
-        },
-        updateInvitation: {
-            method: "PATCH",
-            params: {
-                invitation_id: { required: true, type: "integer" },
-                owner: { required: true, type: "string" },
-                permissions: { enum: ["read", "write", "admin"], type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/invitations/:invitation_id"
-        },
-        updateProtectedBranchPullRequestReviewEnforcement: {
-            method: "PATCH",
-            params: {
-                branch: { required: true, type: "string" },
-                dismiss_stale_reviews: { type: "boolean" },
-                dismissal_restrictions: { type: "object" },
-                "dismissal_restrictions.teams": { type: "string[]" },
-                "dismissal_restrictions.users": { type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                require_code_owner_reviews: { type: "boolean" },
-                required_approving_review_count: { type: "integer" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews"
-        },
-        updateProtectedBranchRequiredStatusChecks: {
-            method: "PATCH",
-            params: {
-                branch: { required: true, type: "string" },
-                contexts: { type: "string[]" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                strict: { type: "boolean" }
-            },
-            url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks"
-        },
-        updateRelease: {
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                draft: { type: "boolean" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                prerelease: { type: "boolean" },
-                release_id: { required: true, type: "integer" },
-                repo: { required: true, type: "string" },
-                tag_name: { type: "string" },
-                target_commitish: { type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/:release_id"
-        },
-        updateReleaseAsset: {
-            method: "PATCH",
-            params: {
-                asset_id: { required: true, type: "integer" },
-                label: { type: "string" },
-                name: { type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" }
-            },
-            url: "/repos/:owner/:repo/releases/assets/:asset_id"
-        },
-        uploadReleaseAsset: {
-            method: "POST",
-            params: {
-                data: { mapTo: "data", required: true, type: "string | object" },
-                file: { alias: "data", deprecated: true, type: "string | object" },
-                headers: { required: true, type: "object" },
-                "headers.content-length": { required: true, type: "integer" },
-                "headers.content-type": { required: true, type: "string" },
-                label: { type: "string" },
-                name: { required: true, type: "string" },
-                url: { required: true, type: "string" }
-            },
-            url: ":url"
-        }
+        acceptInvitation: ["PATCH /user/repository_invitations/{invitation_id}"],
+        addAppAccessRestrictions: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps",
+            {},
+            { mapToData: "apps" },
+        ],
+        addCollaborator: ["PUT /repos/{owner}/{repo}/collaborators/{username}"],
+        addStatusCheckContexts: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts",
+            {},
+            { mapToData: "contexts" },
+        ],
+        addTeamAccessRestrictions: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams",
+            {},
+            { mapToData: "teams" },
+        ],
+        addUserAccessRestrictions: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users",
+            {},
+            { mapToData: "users" },
+        ],
+        checkCollaborator: ["GET /repos/{owner}/{repo}/collaborators/{username}"],
+        checkVulnerabilityAlerts: [
+            "GET /repos/{owner}/{repo}/vulnerability-alerts",
+            { mediaType: { previews: ["dorian"] } },
+        ],
+        compareCommits: ["GET /repos/{owner}/{repo}/compare/{base}...{head}"],
+        createCommitComment: [
+            "POST /repos/{owner}/{repo}/commits/{commit_sha}/comments",
+        ],
+        createCommitSignatureProtection: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures",
+            { mediaType: { previews: ["zzzax"] } },
+        ],
+        createCommitStatus: ["POST /repos/{owner}/{repo}/statuses/{sha}"],
+        createDeployKey: ["POST /repos/{owner}/{repo}/keys"],
+        createDeployment: ["POST /repos/{owner}/{repo}/deployments"],
+        createDeploymentStatus: [
+            "POST /repos/{owner}/{repo}/deployments/{deployment_id}/statuses",
+        ],
+        createDispatchEvent: ["POST /repos/{owner}/{repo}/dispatches"],
+        createForAuthenticatedUser: ["POST /user/repos"],
+        createFork: ["POST /repos/{owner}/{repo}/forks"],
+        createInOrg: ["POST /orgs/{org}/repos"],
+        createOrUpdateFileContents: ["PUT /repos/{owner}/{repo}/contents/{path}"],
+        createPagesSite: [
+            "POST /repos/{owner}/{repo}/pages",
+            { mediaType: { previews: ["switcheroo"] } },
+        ],
+        createRelease: ["POST /repos/{owner}/{repo}/releases"],
+        createUsingTemplate: [
+            "POST /repos/{template_owner}/{template_repo}/generate",
+            { mediaType: { previews: ["baptiste"] } },
+        ],
+        createWebhook: ["POST /repos/{owner}/{repo}/hooks"],
+        declineInvitation: ["DELETE /user/repository_invitations/{invitation_id}"],
+        delete: ["DELETE /repos/{owner}/{repo}"],
+        deleteAccessRestrictions: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions",
+        ],
+        deleteAdminBranchProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins",
+        ],
+        deleteBranchProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection",
+        ],
+        deleteCommitComment: ["DELETE /repos/{owner}/{repo}/comments/{comment_id}"],
+        deleteCommitSignatureProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures",
+            { mediaType: { previews: ["zzzax"] } },
+        ],
+        deleteDeployKey: ["DELETE /repos/{owner}/{repo}/keys/{key_id}"],
+        deleteDeployment: [
+            "DELETE /repos/{owner}/{repo}/deployments/{deployment_id}",
+        ],
+        deleteFile: ["DELETE /repos/{owner}/{repo}/contents/{path}"],
+        deleteInvitation: [
+            "DELETE /repos/{owner}/{repo}/invitations/{invitation_id}",
+        ],
+        deletePagesSite: [
+            "DELETE /repos/{owner}/{repo}/pages",
+            { mediaType: { previews: ["switcheroo"] } },
+        ],
+        deletePullRequestReviewProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews",
+        ],
+        deleteRelease: ["DELETE /repos/{owner}/{repo}/releases/{release_id}"],
+        deleteReleaseAsset: [
+            "DELETE /repos/{owner}/{repo}/releases/assets/{asset_id}",
+        ],
+        deleteWebhook: ["DELETE /repos/{owner}/{repo}/hooks/{hook_id}"],
+        disableAutomatedSecurityFixes: [
+            "DELETE /repos/{owner}/{repo}/automated-security-fixes",
+            { mediaType: { previews: ["london"] } },
+        ],
+        disableVulnerabilityAlerts: [
+            "DELETE /repos/{owner}/{repo}/vulnerability-alerts",
+            { mediaType: { previews: ["dorian"] } },
+        ],
+        downloadArchive: ["GET /repos/{owner}/{repo}/{archive_format}/{ref}"],
+        enableAutomatedSecurityFixes: [
+            "PUT /repos/{owner}/{repo}/automated-security-fixes",
+            { mediaType: { previews: ["london"] } },
+        ],
+        enableVulnerabilityAlerts: [
+            "PUT /repos/{owner}/{repo}/vulnerability-alerts",
+            { mediaType: { previews: ["dorian"] } },
+        ],
+        get: ["GET /repos/{owner}/{repo}"],
+        getAccessRestrictions: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions",
+        ],
+        getAdminBranchProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins",
+        ],
+        getAllStatusCheckContexts: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts",
+        ],
+        getAllTopics: [
+            "GET /repos/{owner}/{repo}/topics",
+            { mediaType: { previews: ["mercy"] } },
+        ],
+        getAppsWithAccessToProtectedBranch: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps",
+        ],
+        getBranch: ["GET /repos/{owner}/{repo}/branches/{branch}"],
+        getBranchProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection",
+        ],
+        getClones: ["GET /repos/{owner}/{repo}/traffic/clones"],
+        getCodeFrequencyStats: ["GET /repos/{owner}/{repo}/stats/code_frequency"],
+        getCollaboratorPermissionLevel: [
+            "GET /repos/{owner}/{repo}/collaborators/{username}/permission",
+        ],
+        getCombinedStatusForRef: ["GET /repos/{owner}/{repo}/commits/{ref}/status"],
+        getCommit: ["GET /repos/{owner}/{repo}/commits/{ref}"],
+        getCommitActivityStats: ["GET /repos/{owner}/{repo}/stats/commit_activity"],
+        getCommitComment: ["GET /repos/{owner}/{repo}/comments/{comment_id}"],
+        getCommitSignatureProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures",
+            { mediaType: { previews: ["zzzax"] } },
+        ],
+        getCommunityProfileMetrics: [
+            "GET /repos/{owner}/{repo}/community/profile",
+            { mediaType: { previews: ["black-panther"] } },
+        ],
+        getContent: ["GET /repos/{owner}/{repo}/contents/{path}"],
+        getContributorsStats: ["GET /repos/{owner}/{repo}/stats/contributors"],
+        getDeployKey: ["GET /repos/{owner}/{repo}/keys/{key_id}"],
+        getDeployment: ["GET /repos/{owner}/{repo}/deployments/{deployment_id}"],
+        getDeploymentStatus: [
+            "GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses/{status_id}",
+        ],
+        getLatestPagesBuild: ["GET /repos/{owner}/{repo}/pages/builds/latest"],
+        getLatestRelease: ["GET /repos/{owner}/{repo}/releases/latest"],
+        getPages: ["GET /repos/{owner}/{repo}/pages"],
+        getPagesBuild: ["GET /repos/{owner}/{repo}/pages/builds/{build_id}"],
+        getParticipationStats: ["GET /repos/{owner}/{repo}/stats/participation"],
+        getPullRequestReviewProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews",
+        ],
+        getPunchCardStats: ["GET /repos/{owner}/{repo}/stats/punch_card"],
+        getReadme: ["GET /repos/{owner}/{repo}/readme"],
+        getRelease: ["GET /repos/{owner}/{repo}/releases/{release_id}"],
+        getReleaseAsset: ["GET /repos/{owner}/{repo}/releases/assets/{asset_id}"],
+        getReleaseByTag: ["GET /repos/{owner}/{repo}/releases/tags/{tag}"],
+        getStatusChecksProtection: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks",
+        ],
+        getTeamsWithAccessToProtectedBranch: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams",
+        ],
+        getTopPaths: ["GET /repos/{owner}/{repo}/traffic/popular/paths"],
+        getTopReferrers: ["GET /repos/{owner}/{repo}/traffic/popular/referrers"],
+        getUsersWithAccessToProtectedBranch: [
+            "GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users",
+        ],
+        getViews: ["GET /repos/{owner}/{repo}/traffic/views"],
+        getWebhook: ["GET /repos/{owner}/{repo}/hooks/{hook_id}"],
+        listBranches: ["GET /repos/{owner}/{repo}/branches"],
+        listBranchesForHeadCommit: [
+            "GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head",
+            { mediaType: { previews: ["groot"] } },
+        ],
+        listCollaborators: ["GET /repos/{owner}/{repo}/collaborators"],
+        listCommentsForCommit: [
+            "GET /repos/{owner}/{repo}/commits/{commit_sha}/comments",
+        ],
+        listCommitCommentsForRepo: ["GET /repos/{owner}/{repo}/comments"],
+        listCommitStatusesForRef: [
+            "GET /repos/{owner}/{repo}/commits/{ref}/statuses",
+        ],
+        listCommits: ["GET /repos/{owner}/{repo}/commits"],
+        listContributors: ["GET /repos/{owner}/{repo}/contributors"],
+        listDeployKeys: ["GET /repos/{owner}/{repo}/keys"],
+        listDeploymentStatuses: [
+            "GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses",
+        ],
+        listDeployments: ["GET /repos/{owner}/{repo}/deployments"],
+        listForAuthenticatedUser: ["GET /user/repos"],
+        listForOrg: ["GET /orgs/{org}/repos"],
+        listForUser: ["GET /users/{username}/repos"],
+        listForks: ["GET /repos/{owner}/{repo}/forks"],
+        listInvitations: ["GET /repos/{owner}/{repo}/invitations"],
+        listInvitationsForAuthenticatedUser: ["GET /user/repository_invitations"],
+        listLanguages: ["GET /repos/{owner}/{repo}/languages"],
+        listPagesBuilds: ["GET /repos/{owner}/{repo}/pages/builds"],
+        listPublic: ["GET /repositories"],
+        listPullRequestsAssociatedWithCommit: [
+            "GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls",
+            { mediaType: { previews: ["groot"] } },
+        ],
+        listReleaseAssets: [
+            "GET /repos/{owner}/{repo}/releases/{release_id}/assets",
+        ],
+        listReleases: ["GET /repos/{owner}/{repo}/releases"],
+        listTags: ["GET /repos/{owner}/{repo}/tags"],
+        listTeams: ["GET /repos/{owner}/{repo}/teams"],
+        listWebhooks: ["GET /repos/{owner}/{repo}/hooks"],
+        merge: ["POST /repos/{owner}/{repo}/merges"],
+        pingWebhook: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/pings"],
+        removeAppAccessRestrictions: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps",
+            {},
+            { mapToData: "apps" },
+        ],
+        removeCollaborator: [
+            "DELETE /repos/{owner}/{repo}/collaborators/{username}",
+        ],
+        removeStatusCheckContexts: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts",
+            {},
+            { mapToData: "contexts" },
+        ],
+        removeStatusCheckProtection: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks",
+        ],
+        removeTeamAccessRestrictions: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams",
+            {},
+            { mapToData: "teams" },
+        ],
+        removeUserAccessRestrictions: [
+            "DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users",
+            {},
+            { mapToData: "users" },
+        ],
+        replaceAllTopics: [
+            "PUT /repos/{owner}/{repo}/topics",
+            { mediaType: { previews: ["mercy"] } },
+        ],
+        requestPagesBuild: ["POST /repos/{owner}/{repo}/pages/builds"],
+        setAdminBranchProtection: [
+            "POST /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins",
+        ],
+        setAppAccessRestrictions: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps",
+            {},
+            { mapToData: "apps" },
+        ],
+        setStatusCheckContexts: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts",
+            {},
+            { mapToData: "contexts" },
+        ],
+        setTeamAccessRestrictions: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams",
+            {},
+            { mapToData: "teams" },
+        ],
+        setUserAccessRestrictions: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users",
+            {},
+            { mapToData: "users" },
+        ],
+        testPushWebhook: ["POST /repos/{owner}/{repo}/hooks/{hook_id}/tests"],
+        transfer: ["POST /repos/{owner}/{repo}/transfer"],
+        update: ["PATCH /repos/{owner}/{repo}"],
+        updateBranchProtection: [
+            "PUT /repos/{owner}/{repo}/branches/{branch}/protection",
+        ],
+        updateCommitComment: ["PATCH /repos/{owner}/{repo}/comments/{comment_id}"],
+        updateInformationAboutPagesSite: ["PUT /repos/{owner}/{repo}/pages"],
+        updateInvitation: [
+            "PATCH /repos/{owner}/{repo}/invitations/{invitation_id}",
+        ],
+        updatePullRequestReviewProtection: [
+            "PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews",
+        ],
+        updateRelease: ["PATCH /repos/{owner}/{repo}/releases/{release_id}"],
+        updateReleaseAsset: [
+            "PATCH /repos/{owner}/{repo}/releases/assets/{asset_id}",
+        ],
+        updateStatusCheckPotection: [
+            "PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks",
+        ],
+        updateWebhook: ["PATCH /repos/{owner}/{repo}/hooks/{hook_id}"],
+        uploadReleaseAsset: [
+            "POST /repos/{owner}/{repo}/releases/{release_id}/assets{?name,label}",
+            { baseUrl: "https://uploads.github.com" },
+        ],
     },
     search: {
-        code: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: { enum: ["indexed"], type: "string" }
-            },
-            url: "/search/code"
-        },
-        commits: {
-            headers: { accept: "application/vnd.github.cloak-preview+json" },
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: { enum: ["author-date", "committer-date"], type: "string" }
-            },
-            url: "/search/commits"
-        },
-        issues: {
-            deprecated: "octokit.search.issues() has been renamed to octokit.search.issuesAndPullRequests() (2018-12-27)",
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: {
-                    enum: [
-                        "comments",
-                        "reactions",
-                        "reactions-+1",
-                        "reactions--1",
-                        "reactions-smile",
-                        "reactions-thinking_face",
-                        "reactions-heart",
-                        "reactions-tada",
-                        "interactions",
-                        "created",
-                        "updated"
-                    ],
-                    type: "string"
-                }
-            },
-            url: "/search/issues"
-        },
-        issuesAndPullRequests: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: {
-                    enum: [
-                        "comments",
-                        "reactions",
-                        "reactions-+1",
-                        "reactions--1",
-                        "reactions-smile",
-                        "reactions-thinking_face",
-                        "reactions-heart",
-                        "reactions-tada",
-                        "interactions",
-                        "created",
-                        "updated"
-                    ],
-                    type: "string"
-                }
-            },
-            url: "/search/issues"
-        },
-        labels: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                q: { required: true, type: "string" },
-                repository_id: { required: true, type: "integer" },
-                sort: { enum: ["created", "updated"], type: "string" }
-            },
-            url: "/search/labels"
-        },
-        repos: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: {
-                    enum: ["stars", "forks", "help-wanted-issues", "updated"],
-                    type: "string"
-                }
-            },
-            url: "/search/repositories"
-        },
-        topics: {
-            method: "GET",
-            params: { q: { required: true, type: "string" } },
-            url: "/search/topics"
-        },
-        users: {
-            method: "GET",
-            params: {
-                order: { enum: ["desc", "asc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                q: { required: true, type: "string" },
-                sort: { enum: ["followers", "repositories", "joined"], type: "string" }
-            },
-            url: "/search/users"
-        }
+        code: ["GET /search/code"],
+        commits: ["GET /search/commits", { mediaType: { previews: ["cloak"] } }],
+        issuesAndPullRequests: ["GET /search/issues"],
+        labels: ["GET /search/labels"],
+        repos: ["GET /search/repositories"],
+        topics: ["GET /search/topics", { mediaType: { previews: ["mercy"] } }],
+        users: ["GET /search/users"],
     },
     teams: {
-        addMember: {
-            deprecated: "octokit.teams.addMember() has been renamed to octokit.teams.addMemberLegacy() (2020-01-16)",
-            method: "PUT",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        addMemberLegacy: {
-            deprecated: "octokit.teams.addMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy",
-            method: "PUT",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        addOrUpdateMembership: {
-            deprecated: "octokit.teams.addOrUpdateMembership() has been renamed to octokit.teams.addOrUpdateMembershipLegacy() (2020-01-16)",
-            method: "PUT",
-            params: {
-                role: { enum: ["member", "maintainer"], type: "string" },
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        addOrUpdateMembershipInOrg: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                role: { enum: ["member", "maintainer"], type: "string" },
-                team_slug: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/memberships/:username"
-        },
-        addOrUpdateMembershipLegacy: {
-            deprecated: "octokit.teams.addOrUpdateMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy",
-            method: "PUT",
-            params: {
-                role: { enum: ["member", "maintainer"], type: "string" },
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        addOrUpdateProject: {
-            deprecated: "octokit.teams.addOrUpdateProject() has been renamed to octokit.teams.addOrUpdateProjectLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PUT",
-            params: {
-                permission: { enum: ["read", "write", "admin"], type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        addOrUpdateProjectInOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                permission: { enum: ["read", "write", "admin"], type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-        },
-        addOrUpdateProjectLegacy: {
-            deprecated: "octokit.teams.addOrUpdateProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "PUT",
-            params: {
-                permission: { enum: ["read", "write", "admin"], type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        addOrUpdateRepo: {
-            deprecated: "octokit.teams.addOrUpdateRepo() has been renamed to octokit.teams.addOrUpdateRepoLegacy() (2020-01-16)",
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        addOrUpdateRepoInOrg: {
-            method: "PUT",
-            params: {
-                org: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                repo: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-        },
-        addOrUpdateRepoLegacy: {
-            deprecated: "octokit.teams.addOrUpdateRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy",
-            method: "PUT",
-            params: {
-                owner: { required: true, type: "string" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        checkManagesRepo: {
-            deprecated: "octokit.teams.checkManagesRepo() has been renamed to octokit.teams.checkManagesRepoLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        checkManagesRepoInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-        },
-        checkManagesRepoLegacy: {
-            deprecated: "octokit.teams.checkManagesRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy",
-            method: "GET",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        create: {
-            method: "POST",
-            params: {
-                description: { type: "string" },
-                maintainers: { type: "string[]" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" },
-                parent_team_id: { type: "integer" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                privacy: { enum: ["secret", "closed"], type: "string" },
-                repo_names: { type: "string[]" }
-            },
-            url: "/orgs/:org/teams"
-        },
-        createDiscussion: {
-            deprecated: "octokit.teams.createDiscussion() has been renamed to octokit.teams.createDiscussionLegacy() (2020-01-16)",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_id: { required: true, type: "integer" },
-                title: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/discussions"
-        },
-        createDiscussionComment: {
-            deprecated: "octokit.teams.createDiscussionComment() has been renamed to octokit.teams.createDiscussionCommentLegacy() (2020-01-16)",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments"
-        },
-        createDiscussionCommentInOrg: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"
-        },
-        createDiscussionCommentLegacy: {
-            deprecated: "octokit.teams.createDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments"
-        },
-        createDiscussionInOrg: {
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                org: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_slug: { required: true, type: "string" },
-                title: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions"
-        },
-        createDiscussionLegacy: {
-            deprecated: "octokit.teams.createDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy",
-            method: "POST",
-            params: {
-                body: { required: true, type: "string" },
-                private: { type: "boolean" },
-                team_id: { required: true, type: "integer" },
-                title: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/discussions"
-        },
-        delete: {
-            deprecated: "octokit.teams.delete() has been renamed to octokit.teams.deleteLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: { team_id: { required: true, type: "integer" } },
-            url: "/teams/:team_id"
-        },
-        deleteDiscussion: {
-            deprecated: "octokit.teams.deleteDiscussion() has been renamed to octokit.teams.deleteDiscussionLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        deleteDiscussionComment: {
-            deprecated: "octokit.teams.deleteDiscussionComment() has been renamed to octokit.teams.deleteDiscussionCommentLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        deleteDiscussionCommentInOrg: {
-            method: "DELETE",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-        },
-        deleteDiscussionCommentLegacy: {
-            deprecated: "octokit.teams.deleteDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy",
-            method: "DELETE",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        deleteDiscussionInOrg: {
-            method: "DELETE",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-        },
-        deleteDiscussionLegacy: {
-            deprecated: "octokit.teams.deleteDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy",
-            method: "DELETE",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        deleteInOrg: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug"
-        },
-        deleteLegacy: {
-            deprecated: "octokit.teams.deleteLegacy() is deprecated, see https://developer.github.com/v3/teams/#delete-team-legacy",
-            method: "DELETE",
-            params: { team_id: { required: true, type: "integer" } },
-            url: "/teams/:team_id"
-        },
-        get: {
-            deprecated: "octokit.teams.get() has been renamed to octokit.teams.getLegacy() (2020-01-16)",
-            method: "GET",
-            params: { team_id: { required: true, type: "integer" } },
-            url: "/teams/:team_id"
-        },
-        getByName: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug"
-        },
-        getDiscussion: {
-            deprecated: "octokit.teams.getDiscussion() has been renamed to octokit.teams.getDiscussionLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        getDiscussionComment: {
-            deprecated: "octokit.teams.getDiscussionComment() has been renamed to octokit.teams.getDiscussionCommentLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        getDiscussionCommentInOrg: {
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-        },
-        getDiscussionCommentLegacy: {
-            deprecated: "octokit.teams.getDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy",
-            method: "GET",
-            params: {
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        getDiscussionInOrg: {
-            method: "GET",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-        },
-        getDiscussionLegacy: {
-            deprecated: "octokit.teams.getDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy",
-            method: "GET",
-            params: {
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        getLegacy: {
-            deprecated: "octokit.teams.getLegacy() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy",
-            method: "GET",
-            params: { team_id: { required: true, type: "integer" } },
-            url: "/teams/:team_id"
-        },
-        getMember: {
-            deprecated: "octokit.teams.getMember() has been renamed to octokit.teams.getMemberLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        getMemberLegacy: {
-            deprecated: "octokit.teams.getMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy",
-            method: "GET",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        getMembership: {
-            deprecated: "octokit.teams.getMembership() has been renamed to octokit.teams.getMembershipLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        getMembershipInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/memberships/:username"
-        },
-        getMembershipLegacy: {
-            deprecated: "octokit.teams.getMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-membership-legacy",
-            method: "GET",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        list: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" }
-            },
-            url: "/orgs/:org/teams"
-        },
-        listChild: {
-            deprecated: "octokit.teams.listChild() has been renamed to octokit.teams.listChildLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/teams"
-        },
-        listChildInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/teams"
-        },
-        listChildLegacy: {
-            deprecated: "octokit.teams.listChildLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-child-teams-legacy",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/teams"
-        },
-        listDiscussionComments: {
-            deprecated: "octokit.teams.listDiscussionComments() has been renamed to octokit.teams.listDiscussionCommentsLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments"
-        },
-        listDiscussionCommentsInOrg: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments"
-        },
-        listDiscussionCommentsLegacy: {
-            deprecated: "octokit.teams.listDiscussionCommentsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy",
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments"
-        },
-        listDiscussions: {
-            deprecated: "octokit.teams.listDiscussions() has been renamed to octokit.teams.listDiscussionsLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions"
-        },
-        listDiscussionsInOrg: {
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions"
-        },
-        listDiscussionsLegacy: {
-            deprecated: "octokit.teams.listDiscussionsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy",
-            method: "GET",
-            params: {
-                direction: { enum: ["asc", "desc"], type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions"
-        },
-        listForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/teams"
-        },
-        listMembers: {
-            deprecated: "octokit.teams.listMembers() has been renamed to octokit.teams.listMembersLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                role: { enum: ["member", "maintainer", "all"], type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/members"
-        },
-        listMembersInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                role: { enum: ["member", "maintainer", "all"], type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/members"
-        },
-        listMembersLegacy: {
-            deprecated: "octokit.teams.listMembersLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-team-members-legacy",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                role: { enum: ["member", "maintainer", "all"], type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/members"
-        },
-        listPendingInvitations: {
-            deprecated: "octokit.teams.listPendingInvitations() has been renamed to octokit.teams.listPendingInvitationsLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/invitations"
-        },
-        listPendingInvitationsInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/invitations"
-        },
-        listPendingInvitationsLegacy: {
-            deprecated: "octokit.teams.listPendingInvitationsLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/invitations"
-        },
-        listProjects: {
-            deprecated: "octokit.teams.listProjects() has been renamed to octokit.teams.listProjectsLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects"
-        },
-        listProjectsInOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/projects"
-        },
-        listProjectsLegacy: {
-            deprecated: "octokit.teams.listProjectsLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects"
-        },
-        listRepos: {
-            deprecated: "octokit.teams.listRepos() has been renamed to octokit.teams.listReposLegacy() (2020-01-16)",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos"
-        },
-        listReposInOrg: {
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/repos"
-        },
-        listReposLegacy: {
-            deprecated: "octokit.teams.listReposLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy",
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos"
-        },
-        removeMember: {
-            deprecated: "octokit.teams.removeMember() has been renamed to octokit.teams.removeMemberLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        removeMemberLegacy: {
-            deprecated: "octokit.teams.removeMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy",
-            method: "DELETE",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/members/:username"
-        },
-        removeMembership: {
-            deprecated: "octokit.teams.removeMembership() has been renamed to octokit.teams.removeMembershipLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        removeMembershipInOrg: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/memberships/:username"
-        },
-        removeMembershipLegacy: {
-            deprecated: "octokit.teams.removeMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy",
-            method: "DELETE",
-            params: {
-                team_id: { required: true, type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/teams/:team_id/memberships/:username"
-        },
-        removeProject: {
-            deprecated: "octokit.teams.removeProject() has been renamed to octokit.teams.removeProjectLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        removeProjectInOrg: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-        },
-        removeProjectLegacy: {
-            deprecated: "octokit.teams.removeProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy",
-            method: "DELETE",
-            params: {
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        removeRepo: {
-            deprecated: "octokit.teams.removeRepo() has been renamed to octokit.teams.removeRepoLegacy() (2020-01-16)",
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        removeRepoInOrg: {
-            method: "DELETE",
-            params: {
-                org: { required: true, type: "string" },
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo"
-        },
-        removeRepoLegacy: {
-            deprecated: "octokit.teams.removeRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy",
-            method: "DELETE",
-            params: {
-                owner: { required: true, type: "string" },
-                repo: { required: true, type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/repos/:owner/:repo"
-        },
-        reviewProject: {
-            deprecated: "octokit.teams.reviewProject() has been renamed to octokit.teams.reviewProjectLegacy() (2020-01-16)",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        reviewProjectInOrg: {
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                org: { required: true, type: "string" },
-                project_id: { required: true, type: "integer" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/projects/:project_id"
-        },
-        reviewProjectLegacy: {
-            deprecated: "octokit.teams.reviewProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy",
-            headers: { accept: "application/vnd.github.inertia-preview+json" },
-            method: "GET",
-            params: {
-                project_id: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/projects/:project_id"
-        },
-        update: {
-            deprecated: "octokit.teams.update() has been renamed to octokit.teams.updateLegacy() (2020-01-16)",
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                parent_team_id: { type: "integer" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                privacy: { enum: ["secret", "closed"], type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id"
-        },
-        updateDiscussion: {
-            deprecated: "octokit.teams.updateDiscussion() has been renamed to octokit.teams.updateDiscussionLegacy() (2020-01-16)",
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" },
-                title: { type: "string" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        updateDiscussionComment: {
-            deprecated: "octokit.teams.updateDiscussionComment() has been renamed to octokit.teams.updateDiscussionCommentLegacy() (2020-01-16)",
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        updateDiscussionCommentInOrg: {
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number"
-        },
-        updateDiscussionCommentLegacy: {
-            deprecated: "octokit.teams.updateDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy",
-            method: "PATCH",
-            params: {
-                body: { required: true, type: "string" },
-                comment_number: { required: true, type: "integer" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number"
-        },
-        updateDiscussionInOrg: {
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                org: { required: true, type: "string" },
-                team_slug: { required: true, type: "string" },
-                title: { type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number"
-        },
-        updateDiscussionLegacy: {
-            deprecated: "octokit.teams.updateDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy",
-            method: "PATCH",
-            params: {
-                body: { type: "string" },
-                discussion_number: { required: true, type: "integer" },
-                team_id: { required: true, type: "integer" },
-                title: { type: "string" }
-            },
-            url: "/teams/:team_id/discussions/:discussion_number"
-        },
-        updateInOrg: {
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                org: { required: true, type: "string" },
-                parent_team_id: { type: "integer" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                privacy: { enum: ["secret", "closed"], type: "string" },
-                team_slug: { required: true, type: "string" }
-            },
-            url: "/orgs/:org/teams/:team_slug"
-        },
-        updateLegacy: {
-            deprecated: "octokit.teams.updateLegacy() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy",
-            method: "PATCH",
-            params: {
-                description: { type: "string" },
-                name: { required: true, type: "string" },
-                parent_team_id: { type: "integer" },
-                permission: { enum: ["pull", "push", "admin"], type: "string" },
-                privacy: { enum: ["secret", "closed"], type: "string" },
-                team_id: { required: true, type: "integer" }
-            },
-            url: "/teams/:team_id"
-        }
+        addOrUpdateMembershipForUserInOrg: [
+            "PUT /orgs/{org}/teams/{team_slug}/memberships/{username}",
+        ],
+        addOrUpdateProjectPermissionsInOrg: [
+            "PUT /orgs/{org}/teams/{team_slug}/projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        addOrUpdateRepoPermissionsInOrg: [
+            "PUT /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}",
+        ],
+        checkPermissionsForProjectInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/projects/{project_id}",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        checkPermissionsForRepoInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}",
+        ],
+        create: ["POST /orgs/{org}/teams"],
+        createDiscussionCommentInOrg: [
+            "POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments",
+        ],
+        createDiscussionInOrg: ["POST /orgs/{org}/teams/{team_slug}/discussions"],
+        deleteDiscussionCommentInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}",
+        ],
+        deleteDiscussionInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}",
+        ],
+        deleteInOrg: ["DELETE /orgs/{org}/teams/{team_slug}"],
+        getByName: ["GET /orgs/{org}/teams/{team_slug}"],
+        getDiscussionCommentInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}",
+        ],
+        getDiscussionInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}",
+        ],
+        getMembershipForUserInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/memberships/{username}",
+        ],
+        list: ["GET /orgs/{org}/teams"],
+        listChildInOrg: ["GET /orgs/{org}/teams/{team_slug}/teams"],
+        listDiscussionCommentsInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments",
+        ],
+        listDiscussionsInOrg: ["GET /orgs/{org}/teams/{team_slug}/discussions"],
+        listForAuthenticatedUser: ["GET /user/teams"],
+        listMembersInOrg: ["GET /orgs/{org}/teams/{team_slug}/members"],
+        listPendingInvitationsInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/invitations",
+        ],
+        listProjectsInOrg: [
+            "GET /orgs/{org}/teams/{team_slug}/projects",
+            { mediaType: { previews: ["inertia"] } },
+        ],
+        listReposInOrg: ["GET /orgs/{org}/teams/{team_slug}/repos"],
+        removeMembershipForUserInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/memberships/{username}",
+        ],
+        removeProjectInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/projects/{project_id}",
+        ],
+        removeRepoInOrg: [
+            "DELETE /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}",
+        ],
+        updateDiscussionCommentInOrg: [
+            "PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}",
+        ],
+        updateDiscussionInOrg: [
+            "PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}",
+        ],
+        updateInOrg: ["PATCH /orgs/{org}/teams/{team_slug}"],
     },
     users: {
-        addEmails: {
-            method: "POST",
-            params: { emails: { required: true, type: "string[]" } },
-            url: "/user/emails"
-        },
-        block: {
-            method: "PUT",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/blocks/:username"
-        },
-        checkBlocked: {
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/blocks/:username"
-        },
-        checkFollowing: {
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/following/:username"
-        },
-        checkFollowingForUser: {
-            method: "GET",
-            params: {
-                target_user: { required: true, type: "string" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/following/:target_user"
-        },
-        createGpgKey: {
-            method: "POST",
-            params: { armored_public_key: { type: "string" } },
-            url: "/user/gpg_keys"
-        },
-        createPublicKey: {
-            method: "POST",
-            params: { key: { type: "string" }, title: { type: "string" } },
-            url: "/user/keys"
-        },
-        deleteEmails: {
-            method: "DELETE",
-            params: { emails: { required: true, type: "string[]" } },
-            url: "/user/emails"
-        },
-        deleteGpgKey: {
-            method: "DELETE",
-            params: { gpg_key_id: { required: true, type: "integer" } },
-            url: "/user/gpg_keys/:gpg_key_id"
-        },
-        deletePublicKey: {
-            method: "DELETE",
-            params: { key_id: { required: true, type: "integer" } },
-            url: "/user/keys/:key_id"
-        },
-        follow: {
-            method: "PUT",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/following/:username"
-        },
-        getAuthenticated: { method: "GET", params: {}, url: "/user" },
-        getByUsername: {
-            method: "GET",
-            params: { username: { required: true, type: "string" } },
-            url: "/users/:username"
-        },
-        getContextForUser: {
-            method: "GET",
-            params: {
-                subject_id: { type: "string" },
-                subject_type: {
-                    enum: ["organization", "repository", "issue", "pull_request"],
-                    type: "string"
-                },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/hovercard"
-        },
-        getGpgKey: {
-            method: "GET",
-            params: { gpg_key_id: { required: true, type: "integer" } },
-            url: "/user/gpg_keys/:gpg_key_id"
-        },
-        getPublicKey: {
-            method: "GET",
-            params: { key_id: { required: true, type: "integer" } },
-            url: "/user/keys/:key_id"
-        },
-        list: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                since: { type: "string" }
-            },
-            url: "/users"
-        },
-        listBlocked: { method: "GET", params: {}, url: "/user/blocks" },
-        listEmails: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/emails"
-        },
-        listFollowersForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/followers"
-        },
-        listFollowersForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/followers"
-        },
-        listFollowingForAuthenticatedUser: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/following"
-        },
-        listFollowingForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/following"
-        },
-        listGpgKeys: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/gpg_keys"
-        },
-        listGpgKeysForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/gpg_keys"
-        },
-        listPublicEmails: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/public_emails"
-        },
-        listPublicKeys: {
-            method: "GET",
-            params: { page: { type: "integer" }, per_page: { type: "integer" } },
-            url: "/user/keys"
-        },
-        listPublicKeysForUser: {
-            method: "GET",
-            params: {
-                page: { type: "integer" },
-                per_page: { type: "integer" },
-                username: { required: true, type: "string" }
-            },
-            url: "/users/:username/keys"
-        },
-        togglePrimaryEmailVisibility: {
-            method: "PATCH",
-            params: {
-                email: { required: true, type: "string" },
-                visibility: { required: true, type: "string" }
-            },
-            url: "/user/email/visibility"
-        },
-        unblock: {
-            method: "DELETE",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/blocks/:username"
-        },
-        unfollow: {
-            method: "DELETE",
-            params: { username: { required: true, type: "string" } },
-            url: "/user/following/:username"
-        },
-        updateAuthenticated: {
-            method: "PATCH",
-            params: {
-                bio: { type: "string" },
-                blog: { type: "string" },
-                company: { type: "string" },
-                email: { type: "string" },
-                hireable: { type: "boolean" },
-                location: { type: "string" },
-                name: { type: "string" }
-            },
-            url: "/user"
-        }
-    }
+        addEmailForAuthenticated: ["POST /user/emails"],
+        block: ["PUT /user/blocks/{username}"],
+        checkBlocked: ["GET /user/blocks/{username}"],
+        checkFollowingForUser: ["GET /users/{username}/following/{target_user}"],
+        checkPersonIsFollowedByAuthenticated: ["GET /user/following/{username}"],
+        createGpgKeyForAuthenticated: ["POST /user/gpg_keys"],
+        createPublicSshKeyForAuthenticated: ["POST /user/keys"],
+        deleteEmailForAuthenticated: ["DELETE /user/emails"],
+        deleteGpgKeyForAuthenticated: ["DELETE /user/gpg_keys/{gpg_key_id}"],
+        deletePublicSshKeyForAuthenticated: ["DELETE /user/keys/{key_id}"],
+        follow: ["PUT /user/following/{username}"],
+        getAuthenticated: ["GET /user"],
+        getByUsername: ["GET /users/{username}"],
+        getContextForUser: ["GET /users/{username}/hovercard"],
+        getGpgKeyForAuthenticated: ["GET /user/gpg_keys/{gpg_key_id}"],
+        getPublicSshKeyForAuthenticated: ["GET /user/keys/{key_id}"],
+        list: ["GET /users"],
+        listBlockedByAuthenticated: ["GET /user/blocks"],
+        listEmailsForAuthenticated: ["GET /user/emails"],
+        listFollowedByAuthenticated: ["GET /user/following"],
+        listFollowersForAuthenticatedUser: ["GET /user/followers"],
+        listFollowersForUser: ["GET /users/{username}/followers"],
+        listFollowingForUser: ["GET /users/{username}/following"],
+        listGpgKeysForAuthenticated: ["GET /user/gpg_keys"],
+        listGpgKeysForUser: ["GET /users/{username}/gpg_keys"],
+        listPublicEmailsForAuthenticated: ["GET /user/public_emails"],
+        listPublicKeysForUser: ["GET /users/{username}/keys"],
+        listPublicSshKeysForAuthenticated: ["GET /user/keys"],
+        setPrimaryEmailVisibilityForAuthenticated: ["PATCH /user/email/visibility"],
+        unblock: ["DELETE /user/blocks/{username}"],
+        unfollow: ["DELETE /user/following/{username}"],
+        updateAuthenticated: ["PATCH /user"],
+    },
 };
 
-const VERSION = "2.4.0";
+const VERSION = "4.1.2";
 
-function registerEndpoints(octokit, routes) {
-    Object.keys(routes).forEach(namespaceName => {
-        if (!octokit[namespaceName]) {
-            octokit[namespaceName] = {};
-        }
-        Object.keys(routes[namespaceName]).forEach(apiName => {
-            const apiOptions = routes[namespaceName][apiName];
-            const endpointDefaults = ["method", "url", "headers"].reduce((map, key) => {
-                if (typeof apiOptions[key] !== "undefined") {
-                    map[key] = apiOptions[key];
-                }
-                return map;
-            }, {});
-            endpointDefaults.request = {
-                validate: apiOptions.params
-            };
-            let request = octokit.request.defaults(endpointDefaults);
-            // patch request & endpoint methods to support deprecated parameters.
-            // Not the most elegant solution, but we don’t want to move deprecation
-            // logic into octokit/endpoint.js as it’s out of scope
-            const hasDeprecatedParam = Object.keys(apiOptions.params || {}).find(key => apiOptions.params[key].deprecated);
-            if (hasDeprecatedParam) {
-                const patch = patchForDeprecation.bind(null, octokit, apiOptions);
-                request = patch(octokit.request.defaults(endpointDefaults), `.${namespaceName}.${apiName}()`);
-                request.endpoint = patch(request.endpoint, `.${namespaceName}.${apiName}.endpoint()`);
-                request.endpoint.merge = patch(request.endpoint.merge, `.${namespaceName}.${apiName}.endpoint.merge()`);
+function endpointsToMethods(octokit, endpointsMap) {
+    const newMethods = {};
+    for (const [scope, endpoints] of Object.entries(endpointsMap)) {
+        for (const [methodName, endpoint] of Object.entries(endpoints)) {
+            const [route, defaults, decorations] = endpoint;
+            const [method, url] = route.split(/ /);
+            const endpointDefaults = Object.assign({ method, url }, defaults);
+            if (!newMethods[scope]) {
+                newMethods[scope] = {};
             }
-            if (apiOptions.deprecated) {
-                octokit[namespaceName][apiName] = Object.assign(function deprecatedEndpointMethod() {
-                    octokit.log.warn(new Deprecation(`[@octokit/rest] ${apiOptions.deprecated}`));
-                    octokit[namespaceName][apiName] = request;
-                    return request.apply(null, arguments);
-                }, request);
-                return;
+            const scopeMethods = newMethods[scope];
+            if (decorations) {
+                scopeMethods[methodName] = decorate(octokit, scope, methodName, endpointDefaults, decorations);
+                continue;
             }
-            octokit[namespaceName][apiName] = request;
-        });
-    });
+            scopeMethods[methodName] = octokit.request.defaults(endpointDefaults);
+        }
+    }
+    return newMethods;
 }
-function patchForDeprecation(octokit, apiOptions, method, methodName) {
-    const patchedMethod = (options) => {
-        options = Object.assign({}, options);
-        Object.keys(options).forEach(key => {
-            if (apiOptions.params[key] && apiOptions.params[key].deprecated) {
-                const aliasKey = apiOptions.params[key].alias;
-                octokit.log.warn(new Deprecation(`[@octokit/rest] "${key}" parameter is deprecated for "${methodName}". Use "${aliasKey}" instead`));
-                if (!(aliasKey in options)) {
-                    options[aliasKey] = options[key];
+function decorate(octokit, scope, methodName, defaults, decorations) {
+    const requestWithDefaults = octokit.request.defaults(defaults);
+    /* istanbul ignore next */
+    function withDecorations(...args) {
+        // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+        let options = requestWithDefaults.endpoint.merge(...args);
+        // There are currently no other decorations than `.mapToData`
+        if (decorations.mapToData) {
+            options = Object.assign({}, options, {
+                data: options[decorations.mapToData],
+                [decorations.mapToData]: undefined,
+            });
+            return requestWithDefaults(options);
+        }
+        if (decorations.renamed) {
+            const [newScope, newMethodName] = decorations.renamed;
+            octokit.log.warn(`octokit.${scope}.${methodName}() has been renamed to octokit.${newScope}.${newMethodName}()`);
+        }
+        if (decorations.deprecated) {
+            octokit.log.warn(decorations.deprecated);
+        }
+        if (decorations.renamedParameters) {
+            // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+            const options = requestWithDefaults.endpoint.merge(...args);
+            for (const [name, alias] of Object.entries(decorations.renamedParameters)) {
+                if (name in options) {
+                    octokit.log.warn(`"${name}" parameter is deprecated for "octokit.${scope}.${methodName}()". Use "${alias}" instead`);
+                    if (!(alias in options)) {
+                        options[alias] = options[name];
+                    }
+                    delete options[name];
                 }
-                delete options[key];
             }
-        });
-        return method(options);
-    };
-    Object.keys(method).forEach(key => {
-        patchedMethod[key] = method[key];
-    });
-    return patchedMethod;
+            return requestWithDefaults(options);
+        }
+        // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488
+        return requestWithDefaults(...args);
+    }
+    return Object.assign(withDecorations, requestWithDefaults);
 }
 
 /**
@@ -6698,27 +1306,7 @@ function patchForDeprecation(octokit, apiOptions, method, methodName) {
  * https://github.com/octokit/plugin-rest-endpoint-methods.js/pull/1
  */
 function restEndpointMethods(octokit) {
-    // @ts-ignore
-    octokit.registerEndpoints = registerEndpoints.bind(null, octokit);
-    registerEndpoints(octokit, endpointsByScope);
-    // Aliasing scopes for backward compatibility
-    // See https://github.com/octokit/rest.js/pull/1134
-    [
-        ["gitdata", "git"],
-        ["authorization", "oauthAuthorizations"],
-        ["pullRequests", "pulls"]
-    ].forEach(([deprecatedScope, scope]) => {
-        Object.defineProperty(octokit, deprecatedScope, {
-            get() {
-                octokit.log.warn(
-                // @ts-ignore
-                new Deprecation(`[@octokit/plugin-rest-endpoint-methods] "octokit.${deprecatedScope}.*" methods are deprecated, use "octokit.${scope}.*" instead`));
-                // @ts-ignore
-                return octokit[scope];
-            }
-        });
-    });
-    return {};
+    return endpointsToMethods(octokit, Endpoints);
 }
 restEndpointMethods.VERSION = VERSION;
 
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-web/index.js.map b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-web/index.js.map
index 017c31353..3ad5c19ae 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/dist-web/index.js.map
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/dist-web/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/generated/endpoints.js","../dist-src/version.js","../dist-src/register-endpoints.js","../dist-src/index.js"],"sourcesContent":["export default {\n    actions: {\n        cancelWorkflowRun: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/cancel\"\n        },\n        createOrUpdateSecretForRepo: {\n            method: \"PUT\",\n            params: {\n                encrypted_value: { type: \"string\" },\n                key_id: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets/:name\"\n        },\n        createRegistrationToken: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/registration-token\"\n        },\n        createRemoveToken: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/remove-token\"\n        },\n        deleteArtifact: {\n            method: \"DELETE\",\n            params: {\n                artifact_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/artifacts/:artifact_id\"\n        },\n        deleteSecretFromRepo: {\n            method: \"DELETE\",\n            params: {\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets/:name\"\n        },\n        downloadArtifact: {\n            method: \"GET\",\n            params: {\n                archive_format: { required: true, type: \"string\" },\n                artifact_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format\"\n        },\n        getArtifact: {\n            method: \"GET\",\n            params: {\n                artifact_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/artifacts/:artifact_id\"\n        },\n        getPublicKey: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets/public-key\"\n        },\n        getSecret: {\n            method: \"GET\",\n            params: {\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets/:name\"\n        },\n        getSelfHostedRunner: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                runner_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/:runner_id\"\n        },\n        getWorkflow: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                workflow_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/workflows/:workflow_id\"\n        },\n        getWorkflowJob: {\n            method: \"GET\",\n            params: {\n                job_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/jobs/:job_id\"\n        },\n        getWorkflowRun: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id\"\n        },\n        listDownloadsForSelfHostedRunnerApplication: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/downloads\"\n        },\n        listJobsForWorkflowRun: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/jobs\"\n        },\n        listRepoWorkflowRuns: {\n            method: \"GET\",\n            params: {\n                actor: { type: \"string\" },\n                branch: { type: \"string\" },\n                event: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                status: { enum: [\"completed\", \"status\", \"conclusion\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs\"\n        },\n        listRepoWorkflows: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/workflows\"\n        },\n        listSecretsForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/secrets\"\n        },\n        listSelfHostedRunnersForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners\"\n        },\n        listWorkflowJobLogs: {\n            method: \"GET\",\n            params: {\n                job_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/actions/jobs/:job_id/logs\"\n        },\n        listWorkflowRunArtifacts: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/artifacts\"\n        },\n        listWorkflowRunLogs: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/logs\"\n        },\n        listWorkflowRuns: {\n            method: \"GET\",\n            params: {\n                actor: { type: \"string\" },\n                branch: { type: \"string\" },\n                event: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                status: { enum: [\"completed\", \"status\", \"conclusion\"], type: \"string\" },\n                workflow_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/workflows/:workflow_id/runs\"\n        },\n        reRunWorkflow: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                run_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runs/:run_id/rerun\"\n        },\n        removeSelfHostedRunner: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                runner_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/actions/runners/:runner_id\"\n        }\n    },\n    activity: {\n        checkStarringRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/user/starred/:owner/:repo\"\n        },\n        deleteRepoSubscription: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/subscription\"\n        },\n        deleteThreadSubscription: {\n            method: \"DELETE\",\n            params: { thread_id: { required: true, type: \"integer\" } },\n            url: \"/notifications/threads/:thread_id/subscription\"\n        },\n        getRepoSubscription: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/subscription\"\n        },\n        getThread: {\n            method: \"GET\",\n            params: { thread_id: { required: true, type: \"integer\" } },\n            url: \"/notifications/threads/:thread_id\"\n        },\n        getThreadSubscription: {\n            method: \"GET\",\n            params: { thread_id: { required: true, type: \"integer\" } },\n            url: \"/notifications/threads/:thread_id/subscription\"\n        },\n        listEventsForOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/events/orgs/:org\"\n        },\n        listEventsForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/events\"\n        },\n        listFeeds: { method: \"GET\", params: {}, url: \"/feeds\" },\n        listNotifications: {\n            method: \"GET\",\n            params: {\n                all: { type: \"boolean\" },\n                before: { type: \"string\" },\n                page: { type: \"integer\" },\n                participating: { type: \"boolean\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/notifications\"\n        },\n        listNotificationsForRepo: {\n            method: \"GET\",\n            params: {\n                all: { type: \"boolean\" },\n                before: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                participating: { type: \"boolean\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/notifications\"\n        },\n        listPublicEvents: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/events\"\n        },\n        listPublicEventsForOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/events\"\n        },\n        listPublicEventsForRepoNetwork: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/networks/:owner/:repo/events\"\n        },\n        listPublicEventsForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/events/public\"\n        },\n        listReceivedEventsForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/received_events\"\n        },\n        listReceivedPublicEventsForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/received_events/public\"\n        },\n        listRepoEvents: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/events\"\n        },\n        listReposStarredByAuthenticatedUser: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/user/starred\"\n        },\n        listReposStarredByUser: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/starred\"\n        },\n        listReposWatchedByUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/subscriptions\"\n        },\n        listStargazersForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stargazers\"\n        },\n        listWatchedReposForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/subscriptions\"\n        },\n        listWatchersForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/subscribers\"\n        },\n        markAsRead: {\n            method: \"PUT\",\n            params: { last_read_at: { type: \"string\" } },\n            url: \"/notifications\"\n        },\n        markNotificationsAsReadForRepo: {\n            method: \"PUT\",\n            params: {\n                last_read_at: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/notifications\"\n        },\n        markThreadAsRead: {\n            method: \"PATCH\",\n            params: { thread_id: { required: true, type: \"integer\" } },\n            url: \"/notifications/threads/:thread_id\"\n        },\n        setRepoSubscription: {\n            method: \"PUT\",\n            params: {\n                ignored: { type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                subscribed: { type: \"boolean\" }\n            },\n            url: \"/repos/:owner/:repo/subscription\"\n        },\n        setThreadSubscription: {\n            method: \"PUT\",\n            params: {\n                ignored: { type: \"boolean\" },\n                thread_id: { required: true, type: \"integer\" }\n            },\n            url: \"/notifications/threads/:thread_id/subscription\"\n        },\n        starRepo: {\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/user/starred/:owner/:repo\"\n        },\n        unstarRepo: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/user/starred/:owner/:repo\"\n        }\n    },\n    apps: {\n        addRepoToInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"PUT\",\n            params: {\n                installation_id: { required: true, type: \"integer\" },\n                repository_id: { required: true, type: \"integer\" }\n            },\n            url: \"/user/installations/:installation_id/repositories/:repository_id\"\n        },\n        checkAccountIsAssociatedWithAny: {\n            method: \"GET\",\n            params: { account_id: { required: true, type: \"integer\" } },\n            url: \"/marketplace_listing/accounts/:account_id\"\n        },\n        checkAccountIsAssociatedWithAnyStubbed: {\n            method: \"GET\",\n            params: { account_id: { required: true, type: \"integer\" } },\n            url: \"/marketplace_listing/stubbed/accounts/:account_id\"\n        },\n        checkAuthorization: {\n            deprecated: \"octokit.apps.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization\",\n            method: \"GET\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        checkToken: {\n            headers: { accept: \"application/vnd.github.doctor-strange-preview+json\" },\n            method: \"POST\",\n            params: {\n                access_token: { type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/token\"\n        },\n        createContentAttachment: {\n            headers: { accept: \"application/vnd.github.corsair-preview+json\" },\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                content_reference_id: { required: true, type: \"integer\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/content_references/:content_reference_id/attachments\"\n        },\n        createFromManifest: {\n            headers: { accept: \"application/vnd.github.fury-preview+json\" },\n            method: \"POST\",\n            params: { code: { required: true, type: \"string\" } },\n            url: \"/app-manifests/:code/conversions\"\n        },\n        createInstallationToken: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"POST\",\n            params: {\n                installation_id: { required: true, type: \"integer\" },\n                permissions: { type: \"object\" },\n                repository_ids: { type: \"integer[]\" }\n            },\n            url: \"/app/installations/:installation_id/access_tokens\"\n        },\n        deleteAuthorization: {\n            headers: { accept: \"application/vnd.github.doctor-strange-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                access_token: { type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/grant\"\n        },\n        deleteInstallation: {\n            headers: {\n                accept: \"application/vnd.github.gambit-preview+json,application/vnd.github.machine-man-preview+json\"\n            },\n            method: \"DELETE\",\n            params: { installation_id: { required: true, type: \"integer\" } },\n            url: \"/app/installations/:installation_id\"\n        },\n        deleteToken: {\n            headers: { accept: \"application/vnd.github.doctor-strange-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                access_token: { type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/token\"\n        },\n        findOrgInstallation: {\n            deprecated: \"octokit.apps.findOrgInstallation() has been renamed to octokit.apps.getOrgInstallation() (2019-04-10)\",\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/installation\"\n        },\n        findRepoInstallation: {\n            deprecated: \"octokit.apps.findRepoInstallation() has been renamed to octokit.apps.getRepoInstallation() (2019-04-10)\",\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/installation\"\n        },\n        findUserInstallation: {\n            deprecated: \"octokit.apps.findUserInstallation() has been renamed to octokit.apps.getUserInstallation() (2019-04-10)\",\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/users/:username/installation\"\n        },\n        getAuthenticated: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {},\n            url: \"/app\"\n        },\n        getBySlug: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { app_slug: { required: true, type: \"string\" } },\n            url: \"/apps/:app_slug\"\n        },\n        getInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { installation_id: { required: true, type: \"integer\" } },\n            url: \"/app/installations/:installation_id\"\n        },\n        getOrgInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/installation\"\n        },\n        getRepoInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/installation\"\n        },\n        getUserInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/users/:username/installation\"\n        },\n        listAccountsUserOrOrgOnPlan: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                plan_id: { required: true, type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/marketplace_listing/plans/:plan_id/accounts\"\n        },\n        listAccountsUserOrOrgOnPlanStubbed: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                plan_id: { required: true, type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/marketplace_listing/stubbed/plans/:plan_id/accounts\"\n        },\n        listInstallationReposForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {\n                installation_id: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/user/installations/:installation_id/repositories\"\n        },\n        listInstallations: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/app/installations\"\n        },\n        listInstallationsForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/installations\"\n        },\n        listMarketplacePurchasesForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/marketplace_purchases\"\n        },\n        listMarketplacePurchasesForAuthenticatedUserStubbed: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/marketplace_purchases/stubbed\"\n        },\n        listPlans: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/marketplace_listing/plans\"\n        },\n        listPlansStubbed: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/marketplace_listing/stubbed/plans\"\n        },\n        listRepos: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/installation/repositories\"\n        },\n        removeRepoFromInstallation: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                installation_id: { required: true, type: \"integer\" },\n                repository_id: { required: true, type: \"integer\" }\n            },\n            url: \"/user/installations/:installation_id/repositories/:repository_id\"\n        },\n        resetAuthorization: {\n            deprecated: \"octokit.apps.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization\",\n            method: \"POST\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        resetToken: {\n            headers: { accept: \"application/vnd.github.doctor-strange-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                access_token: { type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/token\"\n        },\n        revokeAuthorizationForApplication: {\n            deprecated: \"octokit.apps.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application\",\n            method: \"DELETE\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        revokeGrantForApplication: {\n            deprecated: \"octokit.apps.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application\",\n            method: \"DELETE\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/grants/:access_token\"\n        },\n        revokeInstallationToken: {\n            headers: { accept: \"application/vnd.github.gambit-preview+json\" },\n            method: \"DELETE\",\n            params: {},\n            url: \"/installation/token\"\n        }\n    },\n    checks: {\n        create: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"POST\",\n            params: {\n                actions: { type: \"object[]\" },\n                \"actions[].description\": { required: true, type: \"string\" },\n                \"actions[].identifier\": { required: true, type: \"string\" },\n                \"actions[].label\": { required: true, type: \"string\" },\n                completed_at: { type: \"string\" },\n                conclusion: {\n                    enum: [\n                        \"success\",\n                        \"failure\",\n                        \"neutral\",\n                        \"cancelled\",\n                        \"timed_out\",\n                        \"action_required\"\n                    ],\n                    type: \"string\"\n                },\n                details_url: { type: \"string\" },\n                external_id: { type: \"string\" },\n                head_sha: { required: true, type: \"string\" },\n                name: { required: true, type: \"string\" },\n                output: { type: \"object\" },\n                \"output.annotations\": { type: \"object[]\" },\n                \"output.annotations[].annotation_level\": {\n                    enum: [\"notice\", \"warning\", \"failure\"],\n                    required: true,\n                    type: \"string\"\n                },\n                \"output.annotations[].end_column\": { type: \"integer\" },\n                \"output.annotations[].end_line\": { required: true, type: \"integer\" },\n                \"output.annotations[].message\": { required: true, type: \"string\" },\n                \"output.annotations[].path\": { required: true, type: \"string\" },\n                \"output.annotations[].raw_details\": { type: \"string\" },\n                \"output.annotations[].start_column\": { type: \"integer\" },\n                \"output.annotations[].start_line\": { required: true, type: \"integer\" },\n                \"output.annotations[].title\": { type: \"string\" },\n                \"output.images\": { type: \"object[]\" },\n                \"output.images[].alt\": { required: true, type: \"string\" },\n                \"output.images[].caption\": { type: \"string\" },\n                \"output.images[].image_url\": { required: true, type: \"string\" },\n                \"output.summary\": { required: true, type: \"string\" },\n                \"output.text\": { type: \"string\" },\n                \"output.title\": { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                started_at: { type: \"string\" },\n                status: { enum: [\"queued\", \"in_progress\", \"completed\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-runs\"\n        },\n        createSuite: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"POST\",\n            params: {\n                head_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites\"\n        },\n        get: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_run_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-runs/:check_run_id\"\n        },\n        getSuite: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_suite_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites/:check_suite_id\"\n        },\n        listAnnotations: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_run_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-runs/:check_run_id/annotations\"\n        },\n        listForRef: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_name: { type: \"string\" },\n                filter: { enum: [\"latest\", \"all\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                status: { enum: [\"queued\", \"in_progress\", \"completed\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref/check-runs\"\n        },\n        listForSuite: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                check_name: { type: \"string\" },\n                check_suite_id: { required: true, type: \"integer\" },\n                filter: { enum: [\"latest\", \"all\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                status: { enum: [\"queued\", \"in_progress\", \"completed\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites/:check_suite_id/check-runs\"\n        },\n        listSuitesForRef: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"GET\",\n            params: {\n                app_id: { type: \"integer\" },\n                check_name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref/check-suites\"\n        },\n        rerequestSuite: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"POST\",\n            params: {\n                check_suite_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites/:check_suite_id/rerequest\"\n        },\n        setSuitesPreferences: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                auto_trigger_checks: { type: \"object[]\" },\n                \"auto_trigger_checks[].app_id\": { required: true, type: \"integer\" },\n                \"auto_trigger_checks[].setting\": { required: true, type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-suites/preferences\"\n        },\n        update: {\n            headers: { accept: \"application/vnd.github.antiope-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                actions: { type: \"object[]\" },\n                \"actions[].description\": { required: true, type: \"string\" },\n                \"actions[].identifier\": { required: true, type: \"string\" },\n                \"actions[].label\": { required: true, type: \"string\" },\n                check_run_id: { required: true, type: \"integer\" },\n                completed_at: { type: \"string\" },\n                conclusion: {\n                    enum: [\n                        \"success\",\n                        \"failure\",\n                        \"neutral\",\n                        \"cancelled\",\n                        \"timed_out\",\n                        \"action_required\"\n                    ],\n                    type: \"string\"\n                },\n                details_url: { type: \"string\" },\n                external_id: { type: \"string\" },\n                name: { type: \"string\" },\n                output: { type: \"object\" },\n                \"output.annotations\": { type: \"object[]\" },\n                \"output.annotations[].annotation_level\": {\n                    enum: [\"notice\", \"warning\", \"failure\"],\n                    required: true,\n                    type: \"string\"\n                },\n                \"output.annotations[].end_column\": { type: \"integer\" },\n                \"output.annotations[].end_line\": { required: true, type: \"integer\" },\n                \"output.annotations[].message\": { required: true, type: \"string\" },\n                \"output.annotations[].path\": { required: true, type: \"string\" },\n                \"output.annotations[].raw_details\": { type: \"string\" },\n                \"output.annotations[].start_column\": { type: \"integer\" },\n                \"output.annotations[].start_line\": { required: true, type: \"integer\" },\n                \"output.annotations[].title\": { type: \"string\" },\n                \"output.images\": { type: \"object[]\" },\n                \"output.images[].alt\": { required: true, type: \"string\" },\n                \"output.images[].caption\": { type: \"string\" },\n                \"output.images[].image_url\": { required: true, type: \"string\" },\n                \"output.summary\": { required: true, type: \"string\" },\n                \"output.text\": { type: \"string\" },\n                \"output.title\": { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                started_at: { type: \"string\" },\n                status: { enum: [\"queued\", \"in_progress\", \"completed\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/check-runs/:check_run_id\"\n        }\n    },\n    codesOfConduct: {\n        getConductCode: {\n            headers: { accept: \"application/vnd.github.scarlet-witch-preview+json\" },\n            method: \"GET\",\n            params: { key: { required: true, type: \"string\" } },\n            url: \"/codes_of_conduct/:key\"\n        },\n        getForRepo: {\n            headers: { accept: \"application/vnd.github.scarlet-witch-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/community/code_of_conduct\"\n        },\n        listConductCodes: {\n            headers: { accept: \"application/vnd.github.scarlet-witch-preview+json\" },\n            method: \"GET\",\n            params: {},\n            url: \"/codes_of_conduct\"\n        }\n    },\n    emojis: { get: { method: \"GET\", params: {}, url: \"/emojis\" } },\n    gists: {\n        checkIsStarred: {\n            method: \"GET\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id/star\"\n        },\n        create: {\n            method: \"POST\",\n            params: {\n                description: { type: \"string\" },\n                files: { required: true, type: \"object\" },\n                \"files.content\": { type: \"string\" },\n                public: { type: \"boolean\" }\n            },\n            url: \"/gists\"\n        },\n        createComment: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/comments\"\n        },\n        delete: {\n            method: \"DELETE\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id\"\n        },\n        deleteComment: {\n            method: \"DELETE\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/comments/:comment_id\"\n        },\n        fork: {\n            method: \"POST\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id/forks\"\n        },\n        get: {\n            method: \"GET\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id\"\n        },\n        getComment: {\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/comments/:comment_id\"\n        },\n        getRevision: {\n            method: \"GET\",\n            params: {\n                gist_id: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/:sha\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/gists\"\n        },\n        listComments: {\n            method: \"GET\",\n            params: {\n                gist_id: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/gists/:gist_id/comments\"\n        },\n        listCommits: {\n            method: \"GET\",\n            params: {\n                gist_id: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/gists/:gist_id/commits\"\n        },\n        listForks: {\n            method: \"GET\",\n            params: {\n                gist_id: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/gists/:gist_id/forks\"\n        },\n        listPublic: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/gists/public\"\n        },\n        listPublicForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/gists\"\n        },\n        listStarred: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/gists/starred\"\n        },\n        star: {\n            method: \"PUT\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id/star\"\n        },\n        unstar: {\n            method: \"DELETE\",\n            params: { gist_id: { required: true, type: \"string\" } },\n            url: \"/gists/:gist_id/star\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                files: { type: \"object\" },\n                \"files.content\": { type: \"string\" },\n                \"files.filename\": { type: \"string\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id\"\n        },\n        updateComment: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                gist_id: { required: true, type: \"string\" }\n            },\n            url: \"/gists/:gist_id/comments/:comment_id\"\n        }\n    },\n    git: {\n        createBlob: {\n            method: \"POST\",\n            params: {\n                content: { required: true, type: \"string\" },\n                encoding: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/blobs\"\n        },\n        createCommit: {\n            method: \"POST\",\n            params: {\n                author: { type: \"object\" },\n                \"author.date\": { type: \"string\" },\n                \"author.email\": { type: \"string\" },\n                \"author.name\": { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.date\": { type: \"string\" },\n                \"committer.email\": { type: \"string\" },\n                \"committer.name\": { type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                parents: { required: true, type: \"string[]\" },\n                repo: { required: true, type: \"string\" },\n                signature: { type: \"string\" },\n                tree: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/commits\"\n        },\n        createRef: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/refs\"\n        },\n        createTag: {\n            method: \"POST\",\n            params: {\n                message: { required: true, type: \"string\" },\n                object: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tag: { required: true, type: \"string\" },\n                tagger: { type: \"object\" },\n                \"tagger.date\": { type: \"string\" },\n                \"tagger.email\": { type: \"string\" },\n                \"tagger.name\": { type: \"string\" },\n                type: {\n                    enum: [\"commit\", \"tree\", \"blob\"],\n                    required: true,\n                    type: \"string\"\n                }\n            },\n            url: \"/repos/:owner/:repo/git/tags\"\n        },\n        createTree: {\n            method: \"POST\",\n            params: {\n                base_tree: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tree: { required: true, type: \"object[]\" },\n                \"tree[].content\": { type: \"string\" },\n                \"tree[].mode\": {\n                    enum: [\"100644\", \"100755\", \"040000\", \"160000\", \"120000\"],\n                    type: \"string\"\n                },\n                \"tree[].path\": { type: \"string\" },\n                \"tree[].sha\": { allowNull: true, type: \"string\" },\n                \"tree[].type\": { enum: [\"blob\", \"tree\", \"commit\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/trees\"\n        },\n        deleteRef: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/refs/:ref\"\n        },\n        getBlob: {\n            method: \"GET\",\n            params: {\n                file_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/blobs/:file_sha\"\n        },\n        getCommit: {\n            method: \"GET\",\n            params: {\n                commit_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/commits/:commit_sha\"\n        },\n        getRef: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/ref/:ref\"\n        },\n        getTag: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tag_sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/tags/:tag_sha\"\n        },\n        getTree: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                recursive: { enum: [\"1\"], type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                tree_sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/trees/:tree_sha\"\n        },\n        listMatchingRefs: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/matching-refs/:ref\"\n        },\n        listRefs: {\n            method: \"GET\",\n            params: {\n                namespace: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/refs/:namespace\"\n        },\n        updateRef: {\n            method: \"PATCH\",\n            params: {\n                force: { type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/git/refs/:ref\"\n        }\n    },\n    gitignore: {\n        getTemplate: {\n            method: \"GET\",\n            params: { name: { required: true, type: \"string\" } },\n            url: \"/gitignore/templates/:name\"\n        },\n        listTemplates: { method: \"GET\", params: {}, url: \"/gitignore/templates\" }\n    },\n    interactions: {\n        addOrUpdateRestrictionsForOrg: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"PUT\",\n            params: {\n                limit: {\n                    enum: [\"existing_users\", \"contributors_only\", \"collaborators_only\"],\n                    required: true,\n                    type: \"string\"\n                },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/interaction-limits\"\n        },\n        addOrUpdateRestrictionsForRepo: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"PUT\",\n            params: {\n                limit: {\n                    enum: [\"existing_users\", \"contributors_only\", \"collaborators_only\"],\n                    required: true,\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/interaction-limits\"\n        },\n        getRestrictionsForOrg: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/interaction-limits\"\n        },\n        getRestrictionsForRepo: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/interaction-limits\"\n        },\n        removeRestrictionsForOrg: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"DELETE\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/interaction-limits\"\n        },\n        removeRestrictionsForRepo: {\n            headers: { accept: \"application/vnd.github.sombra-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/interaction-limits\"\n        }\n    },\n    issues: {\n        addAssignees: {\n            method: \"POST\",\n            params: {\n                assignees: { type: \"string[]\" },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/assignees\"\n        },\n        addLabels: {\n            method: \"POST\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                labels: { required: true, type: \"string[]\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels\"\n        },\n        checkAssignee: {\n            method: \"GET\",\n            params: {\n                assignee: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/assignees/:assignee\"\n        },\n        create: {\n            method: \"POST\",\n            params: {\n                assignee: { type: \"string\" },\n                assignees: { type: \"string[]\" },\n                body: { type: \"string\" },\n                labels: { type: \"string[]\" },\n                milestone: { type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues\"\n        },\n        createComment: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/comments\"\n        },\n        createLabel: {\n            method: \"POST\",\n            params: {\n                color: { required: true, type: \"string\" },\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels\"\n        },\n        createMilestone: {\n            method: \"POST\",\n            params: {\n                description: { type: \"string\" },\n                due_on: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones\"\n        },\n        deleteComment: {\n            method: \"DELETE\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id\"\n        },\n        deleteLabel: {\n            method: \"DELETE\",\n            params: {\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels/:name\"\n        },\n        deleteMilestone: {\n            method: \"DELETE\",\n            params: {\n                milestone_number: { required: true, type: \"integer\" },\n                number: {\n                    alias: \"milestone_number\",\n                    deprecated: true,\n                    type: \"integer\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones/:milestone_number\"\n        },\n        get: {\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number\"\n        },\n        getComment: {\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id\"\n        },\n        getEvent: {\n            method: \"GET\",\n            params: {\n                event_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/events/:event_id\"\n        },\n        getLabel: {\n            method: \"GET\",\n            params: {\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels/:name\"\n        },\n        getMilestone: {\n            method: \"GET\",\n            params: {\n                milestone_number: { required: true, type: \"integer\" },\n                number: {\n                    alias: \"milestone_number\",\n                    deprecated: true,\n                    type: \"integer\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones/:milestone_number\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                filter: {\n                    enum: [\"assigned\", \"created\", \"mentioned\", \"subscribed\", \"all\"],\n                    type: \"string\"\n                },\n                labels: { type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\", \"comments\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/issues\"\n        },\n        listAssignees: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/assignees\"\n        },\n        listComments: {\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/comments\"\n        },\n        listCommentsForRepo: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments\"\n        },\n        listEvents: {\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/events\"\n        },\n        listEventsForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/events\"\n        },\n        listEventsForTimeline: {\n            headers: { accept: \"application/vnd.github.mockingbird-preview+json\" },\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/timeline\"\n        },\n        listForAuthenticatedUser: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                filter: {\n                    enum: [\"assigned\", \"created\", \"mentioned\", \"subscribed\", \"all\"],\n                    type: \"string\"\n                },\n                labels: { type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\", \"comments\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/user/issues\"\n        },\n        listForOrg: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                filter: {\n                    enum: [\"assigned\", \"created\", \"mentioned\", \"subscribed\", \"all\"],\n                    type: \"string\"\n                },\n                labels: { type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\", \"comments\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/orgs/:org/issues\"\n        },\n        listForRepo: {\n            method: \"GET\",\n            params: {\n                assignee: { type: \"string\" },\n                creator: { type: \"string\" },\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                labels: { type: \"string\" },\n                mentioned: { type: \"string\" },\n                milestone: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\", \"comments\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues\"\n        },\n        listLabelsForMilestone: {\n            method: \"GET\",\n            params: {\n                milestone_number: { required: true, type: \"integer\" },\n                number: {\n                    alias: \"milestone_number\",\n                    deprecated: true,\n                    type: \"integer\"\n                },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones/:milestone_number/labels\"\n        },\n        listLabelsForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels\"\n        },\n        listLabelsOnIssue: {\n            method: \"GET\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels\"\n        },\n        listMilestonesForRepo: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sort: { enum: [\"due_on\", \"completeness\"], type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones\"\n        },\n        lock: {\n            method: \"PUT\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                lock_reason: {\n                    enum: [\"off-topic\", \"too heated\", \"resolved\", \"spam\"],\n                    type: \"string\"\n                },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/lock\"\n        },\n        removeAssignees: {\n            method: \"DELETE\",\n            params: {\n                assignees: { type: \"string[]\" },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/assignees\"\n        },\n        removeLabel: {\n            method: \"DELETE\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                name: { required: true, type: \"string\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels/:name\"\n        },\n        removeLabels: {\n            method: \"DELETE\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels\"\n        },\n        replaceLabels: {\n            method: \"PUT\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                labels: { type: \"string[]\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/labels\"\n        },\n        unlock: {\n            method: \"DELETE\",\n            params: {\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/lock\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                assignee: { type: \"string\" },\n                assignees: { type: \"string[]\" },\n                body: { type: \"string\" },\n                issue_number: { required: true, type: \"integer\" },\n                labels: { type: \"string[]\" },\n                milestone: { allowNull: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number\"\n        },\n        updateComment: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id\"\n        },\n        updateLabel: {\n            method: \"PATCH\",\n            params: {\n                color: { type: \"string\" },\n                current_name: { required: true, type: \"string\" },\n                description: { type: \"string\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/labels/:current_name\"\n        },\n        updateMilestone: {\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                due_on: { type: \"string\" },\n                milestone_number: { required: true, type: \"integer\" },\n                number: {\n                    alias: \"milestone_number\",\n                    deprecated: true,\n                    type: \"integer\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/milestones/:milestone_number\"\n        }\n    },\n    licenses: {\n        get: {\n            method: \"GET\",\n            params: { license: { required: true, type: \"string\" } },\n            url: \"/licenses/:license\"\n        },\n        getForRepo: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/license\"\n        },\n        list: {\n            deprecated: \"octokit.licenses.list() has been renamed to octokit.licenses.listCommonlyUsed() (2019-03-05)\",\n            method: \"GET\",\n            params: {},\n            url: \"/licenses\"\n        },\n        listCommonlyUsed: { method: \"GET\", params: {}, url: \"/licenses\" }\n    },\n    markdown: {\n        render: {\n            method: \"POST\",\n            params: {\n                context: { type: \"string\" },\n                mode: { enum: [\"markdown\", \"gfm\"], type: \"string\" },\n                text: { required: true, type: \"string\" }\n            },\n            url: \"/markdown\"\n        },\n        renderRaw: {\n            headers: { \"content-type\": \"text/plain; charset=utf-8\" },\n            method: \"POST\",\n            params: { data: { mapTo: \"data\", required: true, type: \"string\" } },\n            url: \"/markdown/raw\"\n        }\n    },\n    meta: { get: { method: \"GET\", params: {}, url: \"/meta\" } },\n    migrations: {\n        cancelImport: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import\"\n        },\n        deleteArchiveForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"DELETE\",\n            params: { migration_id: { required: true, type: \"integer\" } },\n            url: \"/user/migrations/:migration_id/archive\"\n        },\n        deleteArchiveForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/archive\"\n        },\n        downloadArchiveForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/archive\"\n        },\n        getArchiveForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: { migration_id: { required: true, type: \"integer\" } },\n            url: \"/user/migrations/:migration_id/archive\"\n        },\n        getArchiveForOrg: {\n            deprecated: \"octokit.migrations.getArchiveForOrg() has been renamed to octokit.migrations.downloadArchiveForOrg() (2020-01-27)\",\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/archive\"\n        },\n        getCommitAuthors: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import/authors\"\n        },\n        getImportProgress: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import\"\n        },\n        getLargeFiles: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import/large_files\"\n        },\n        getStatusForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: { migration_id: { required: true, type: \"integer\" } },\n            url: \"/user/migrations/:migration_id\"\n        },\n        getStatusForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id\"\n        },\n        listForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/migrations\"\n        },\n        listForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/migrations\"\n        },\n        listReposForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/repositories\"\n        },\n        listReposForUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"GET\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/user/:migration_id/repositories\"\n        },\n        mapCommitAuthor: {\n            method: \"PATCH\",\n            params: {\n                author_id: { required: true, type: \"integer\" },\n                email: { type: \"string\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import/authors/:author_id\"\n        },\n        setLfsPreference: {\n            method: \"PATCH\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                use_lfs: { enum: [\"opt_in\", \"opt_out\"], required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import/lfs\"\n        },\n        startForAuthenticatedUser: {\n            method: \"POST\",\n            params: {\n                exclude_attachments: { type: \"boolean\" },\n                lock_repositories: { type: \"boolean\" },\n                repositories: { required: true, type: \"string[]\" }\n            },\n            url: \"/user/migrations\"\n        },\n        startForOrg: {\n            method: \"POST\",\n            params: {\n                exclude_attachments: { type: \"boolean\" },\n                lock_repositories: { type: \"boolean\" },\n                org: { required: true, type: \"string\" },\n                repositories: { required: true, type: \"string[]\" }\n            },\n            url: \"/orgs/:org/migrations\"\n        },\n        startImport: {\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tfvc_project: { type: \"string\" },\n                vcs: {\n                    enum: [\"subversion\", \"git\", \"mercurial\", \"tfvc\"],\n                    type: \"string\"\n                },\n                vcs_password: { type: \"string\" },\n                vcs_url: { required: true, type: \"string\" },\n                vcs_username: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import\"\n        },\n        unlockRepoForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                repo_name: { required: true, type: \"string\" }\n            },\n            url: \"/user/migrations/:migration_id/repos/:repo_name/lock\"\n        },\n        unlockRepoForOrg: {\n            headers: { accept: \"application/vnd.github.wyandotte-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                migration_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                repo_name: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/migrations/:migration_id/repos/:repo_name/lock\"\n        },\n        updateImport: {\n            method: \"PATCH\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                vcs_password: { type: \"string\" },\n                vcs_username: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/import\"\n        }\n    },\n    oauthAuthorizations: {\n        checkAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.checkAuthorization() has been renamed to octokit.apps.checkAuthorization() (2019-11-05)\",\n            method: \"GET\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        createAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.createAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization\",\n            method: \"POST\",\n            params: {\n                client_id: { type: \"string\" },\n                client_secret: { type: \"string\" },\n                fingerprint: { type: \"string\" },\n                note: { required: true, type: \"string\" },\n                note_url: { type: \"string\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations\"\n        },\n        deleteAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.deleteAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization\",\n            method: \"DELETE\",\n            params: { authorization_id: { required: true, type: \"integer\" } },\n            url: \"/authorizations/:authorization_id\"\n        },\n        deleteGrant: {\n            deprecated: \"octokit.oauthAuthorizations.deleteGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-a-grant\",\n            method: \"DELETE\",\n            params: { grant_id: { required: true, type: \"integer\" } },\n            url: \"/applications/grants/:grant_id\"\n        },\n        getAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.getAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization\",\n            method: \"GET\",\n            params: { authorization_id: { required: true, type: \"integer\" } },\n            url: \"/authorizations/:authorization_id\"\n        },\n        getGrant: {\n            deprecated: \"octokit.oauthAuthorizations.getGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant\",\n            method: \"GET\",\n            params: { grant_id: { required: true, type: \"integer\" } },\n            url: \"/applications/grants/:grant_id\"\n        },\n        getOrCreateAuthorizationForApp: {\n            deprecated: \"octokit.oauthAuthorizations.getOrCreateAuthorizationForApp() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app\",\n            method: \"PUT\",\n            params: {\n                client_id: { required: true, type: \"string\" },\n                client_secret: { required: true, type: \"string\" },\n                fingerprint: { type: \"string\" },\n                note: { type: \"string\" },\n                note_url: { type: \"string\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations/clients/:client_id\"\n        },\n        getOrCreateAuthorizationForAppAndFingerprint: {\n            deprecated: \"octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint\",\n            method: \"PUT\",\n            params: {\n                client_id: { required: true, type: \"string\" },\n                client_secret: { required: true, type: \"string\" },\n                fingerprint: { required: true, type: \"string\" },\n                note: { type: \"string\" },\n                note_url: { type: \"string\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations/clients/:client_id/:fingerprint\"\n        },\n        getOrCreateAuthorizationForAppFingerprint: {\n            deprecated: \"octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint() has been renamed to octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() (2018-12-27)\",\n            method: \"PUT\",\n            params: {\n                client_id: { required: true, type: \"string\" },\n                client_secret: { required: true, type: \"string\" },\n                fingerprint: { required: true, type: \"string\" },\n                note: { type: \"string\" },\n                note_url: { type: \"string\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations/clients/:client_id/:fingerprint\"\n        },\n        listAuthorizations: {\n            deprecated: \"octokit.oauthAuthorizations.listAuthorizations() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations\",\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/authorizations\"\n        },\n        listGrants: {\n            deprecated: \"octokit.oauthAuthorizations.listGrants() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-grants\",\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/applications/grants\"\n        },\n        resetAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.resetAuthorization() has been renamed to octokit.apps.resetAuthorization() (2019-11-05)\",\n            method: \"POST\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        revokeAuthorizationForApplication: {\n            deprecated: \"octokit.oauthAuthorizations.revokeAuthorizationForApplication() has been renamed to octokit.apps.revokeAuthorizationForApplication() (2019-11-05)\",\n            method: \"DELETE\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/tokens/:access_token\"\n        },\n        revokeGrantForApplication: {\n            deprecated: \"octokit.oauthAuthorizations.revokeGrantForApplication() has been renamed to octokit.apps.revokeGrantForApplication() (2019-11-05)\",\n            method: \"DELETE\",\n            params: {\n                access_token: { required: true, type: \"string\" },\n                client_id: { required: true, type: \"string\" }\n            },\n            url: \"/applications/:client_id/grants/:access_token\"\n        },\n        updateAuthorization: {\n            deprecated: \"octokit.oauthAuthorizations.updateAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization\",\n            method: \"PATCH\",\n            params: {\n                add_scopes: { type: \"string[]\" },\n                authorization_id: { required: true, type: \"integer\" },\n                fingerprint: { type: \"string\" },\n                note: { type: \"string\" },\n                note_url: { type: \"string\" },\n                remove_scopes: { type: \"string[]\" },\n                scopes: { type: \"string[]\" }\n            },\n            url: \"/authorizations/:authorization_id\"\n        }\n    },\n    orgs: {\n        addOrUpdateMembership: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                role: { enum: [\"admin\", \"member\"], type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/memberships/:username\"\n        },\n        blockUser: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/blocks/:username\"\n        },\n        checkBlockedUser: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/blocks/:username\"\n        },\n        checkMembership: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/members/:username\"\n        },\n        checkPublicMembership: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/public_members/:username\"\n        },\n        concealMembership: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/public_members/:username\"\n        },\n        convertMemberToOutsideCollaborator: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/outside_collaborators/:username\"\n        },\n        createHook: {\n            method: \"POST\",\n            params: {\n                active: { type: \"boolean\" },\n                config: { required: true, type: \"object\" },\n                \"config.content_type\": { type: \"string\" },\n                \"config.insecure_ssl\": { type: \"string\" },\n                \"config.secret\": { type: \"string\" },\n                \"config.url\": { required: true, type: \"string\" },\n                events: { type: \"string[]\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks\"\n        },\n        createInvitation: {\n            method: \"POST\",\n            params: {\n                email: { type: \"string\" },\n                invitee_id: { type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                role: {\n                    enum: [\"admin\", \"direct_member\", \"billing_manager\"],\n                    type: \"string\"\n                },\n                team_ids: { type: \"integer[]\" }\n            },\n            url: \"/orgs/:org/invitations\"\n        },\n        deleteHook: {\n            method: \"DELETE\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks/:hook_id\"\n        },\n        get: {\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org\"\n        },\n        getHook: {\n            method: \"GET\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks/:hook_id\"\n        },\n        getMembership: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/memberships/:username\"\n        },\n        getMembershipForAuthenticatedUser: {\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/user/memberships/orgs/:org\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"integer\" }\n            },\n            url: \"/organizations\"\n        },\n        listBlockedUsers: {\n            method: \"GET\",\n            params: { org: { required: true, type: \"string\" } },\n            url: \"/orgs/:org/blocks\"\n        },\n        listForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/orgs\"\n        },\n        listForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/orgs\"\n        },\n        listHooks: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/hooks\"\n        },\n        listInstallations: {\n            headers: { accept: \"application/vnd.github.machine-man-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/installations\"\n        },\n        listInvitationTeams: {\n            method: \"GET\",\n            params: {\n                invitation_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/invitations/:invitation_id/teams\"\n        },\n        listMembers: {\n            method: \"GET\",\n            params: {\n                filter: { enum: [\"2fa_disabled\", \"all\"], type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                role: { enum: [\"all\", \"admin\", \"member\"], type: \"string\" }\n            },\n            url: \"/orgs/:org/members\"\n        },\n        listMemberships: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                state: { enum: [\"active\", \"pending\"], type: \"string\" }\n            },\n            url: \"/user/memberships/orgs\"\n        },\n        listOutsideCollaborators: {\n            method: \"GET\",\n            params: {\n                filter: { enum: [\"2fa_disabled\", \"all\"], type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/outside_collaborators\"\n        },\n        listPendingInvitations: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/invitations\"\n        },\n        listPublicMembers: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/public_members\"\n        },\n        pingHook: {\n            method: \"POST\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks/:hook_id/pings\"\n        },\n        publicizeMembership: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/public_members/:username\"\n        },\n        removeMember: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/members/:username\"\n        },\n        removeMembership: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/memberships/:username\"\n        },\n        removeOutsideCollaborator: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/outside_collaborators/:username\"\n        },\n        unblockUser: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/blocks/:username\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                billing_email: { type: \"string\" },\n                company: { type: \"string\" },\n                default_repository_permission: {\n                    enum: [\"read\", \"write\", \"admin\", \"none\"],\n                    type: \"string\"\n                },\n                description: { type: \"string\" },\n                email: { type: \"string\" },\n                has_organization_projects: { type: \"boolean\" },\n                has_repository_projects: { type: \"boolean\" },\n                location: { type: \"string\" },\n                members_allowed_repository_creation_type: {\n                    enum: [\"all\", \"private\", \"none\"],\n                    type: \"string\"\n                },\n                members_can_create_internal_repositories: { type: \"boolean\" },\n                members_can_create_private_repositories: { type: \"boolean\" },\n                members_can_create_public_repositories: { type: \"boolean\" },\n                members_can_create_repositories: { type: \"boolean\" },\n                name: { type: \"string\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org\"\n        },\n        updateHook: {\n            method: \"PATCH\",\n            params: {\n                active: { type: \"boolean\" },\n                config: { type: \"object\" },\n                \"config.content_type\": { type: \"string\" },\n                \"config.insecure_ssl\": { type: \"string\" },\n                \"config.secret\": { type: \"string\" },\n                \"config.url\": { required: true, type: \"string\" },\n                events: { type: \"string[]\" },\n                hook_id: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/hooks/:hook_id\"\n        },\n        updateMembership: {\n            method: \"PATCH\",\n            params: {\n                org: { required: true, type: \"string\" },\n                state: { enum: [\"active\"], required: true, type: \"string\" }\n            },\n            url: \"/user/memberships/orgs/:org\"\n        }\n    },\n    projects: {\n        addCollaborator: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PUT\",\n            params: {\n                permission: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/projects/:project_id/collaborators/:username\"\n        },\n        createCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                column_id: { required: true, type: \"integer\" },\n                content_id: { type: \"integer\" },\n                content_type: { type: \"string\" },\n                note: { type: \"string\" }\n            },\n            url: \"/projects/columns/:column_id/cards\"\n        },\n        createColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                name: { required: true, type: \"string\" },\n                project_id: { required: true, type: \"integer\" }\n            },\n            url: \"/projects/:project_id/columns\"\n        },\n        createForAuthenticatedUser: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                name: { required: true, type: \"string\" }\n            },\n            url: \"/user/projects\"\n        },\n        createForOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/projects\"\n        },\n        createForRepo: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/projects\"\n        },\n        delete: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"DELETE\",\n            params: { project_id: { required: true, type: \"integer\" } },\n            url: \"/projects/:project_id\"\n        },\n        deleteCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"DELETE\",\n            params: { card_id: { required: true, type: \"integer\" } },\n            url: \"/projects/columns/cards/:card_id\"\n        },\n        deleteColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"DELETE\",\n            params: { column_id: { required: true, type: \"integer\" } },\n            url: \"/projects/columns/:column_id\"\n        },\n        get: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: { project_id: { required: true, type: \"integer\" } },\n            url: \"/projects/:project_id\"\n        },\n        getCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: { card_id: { required: true, type: \"integer\" } },\n            url: \"/projects/columns/cards/:card_id\"\n        },\n        getColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: { column_id: { required: true, type: \"integer\" } },\n            url: \"/projects/columns/:column_id\"\n        },\n        listCards: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                archived_state: {\n                    enum: [\"all\", \"archived\", \"not_archived\"],\n                    type: \"string\"\n                },\n                column_id: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/projects/columns/:column_id/cards\"\n        },\n        listCollaborators: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                affiliation: { enum: [\"outside\", \"direct\", \"all\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                project_id: { required: true, type: \"integer\" }\n            },\n            url: \"/projects/:project_id/collaborators\"\n        },\n        listColumns: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                project_id: { required: true, type: \"integer\" }\n            },\n            url: \"/projects/:project_id/columns\"\n        },\n        listForOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/orgs/:org/projects\"\n        },\n        listForRepo: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/projects\"\n        },\n        listForUser: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/projects\"\n        },\n        moveCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                card_id: { required: true, type: \"integer\" },\n                column_id: { type: \"integer\" },\n                position: {\n                    required: true,\n                    type: \"string\",\n                    validation: \"^(top|bottom|after:\\\\d+)$\"\n                }\n            },\n            url: \"/projects/columns/cards/:card_id/moves\"\n        },\n        moveColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"POST\",\n            params: {\n                column_id: { required: true, type: \"integer\" },\n                position: {\n                    required: true,\n                    type: \"string\",\n                    validation: \"^(first|last|after:\\\\d+)$\"\n                }\n            },\n            url: \"/projects/columns/:column_id/moves\"\n        },\n        removeCollaborator: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/projects/:project_id/collaborators/:username\"\n        },\n        reviewUserPermissionLevel: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/projects/:project_id/collaborators/:username/permission\"\n        },\n        update: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                name: { type: \"string\" },\n                organization_permission: { type: \"string\" },\n                private: { type: \"boolean\" },\n                project_id: { required: true, type: \"integer\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" }\n            },\n            url: \"/projects/:project_id\"\n        },\n        updateCard: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                archived: { type: \"boolean\" },\n                card_id: { required: true, type: \"integer\" },\n                note: { type: \"string\" }\n            },\n            url: \"/projects/columns/cards/:card_id\"\n        },\n        updateColumn: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PATCH\",\n            params: {\n                column_id: { required: true, type: \"integer\" },\n                name: { required: true, type: \"string\" }\n            },\n            url: \"/projects/columns/:column_id\"\n        }\n    },\n    pulls: {\n        checkIfMerged: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/merge\"\n        },\n        create: {\n            method: \"POST\",\n            params: {\n                base: { required: true, type: \"string\" },\n                body: { type: \"string\" },\n                draft: { type: \"boolean\" },\n                head: { required: true, type: \"string\" },\n                maintainer_can_modify: { type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls\"\n        },\n        createComment: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                commit_id: { required: true, type: \"string\" },\n                in_reply_to: {\n                    deprecated: true,\n                    description: \"The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.\",\n                    type: \"integer\"\n                },\n                line: { type: \"integer\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                position: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                side: { enum: [\"LEFT\", \"RIGHT\"], type: \"string\" },\n                start_line: { type: \"integer\" },\n                start_side: { enum: [\"LEFT\", \"RIGHT\", \"side\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/comments\"\n        },\n        createCommentReply: {\n            deprecated: \"octokit.pulls.createCommentReply() has been renamed to octokit.pulls.createComment() (2019-09-09)\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                commit_id: { required: true, type: \"string\" },\n                in_reply_to: {\n                    deprecated: true,\n                    description: \"The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.\",\n                    type: \"integer\"\n                },\n                line: { type: \"integer\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                position: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                side: { enum: [\"LEFT\", \"RIGHT\"], type: \"string\" },\n                start_line: { type: \"integer\" },\n                start_side: { enum: [\"LEFT\", \"RIGHT\", \"side\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/comments\"\n        },\n        createFromIssue: {\n            deprecated: \"octokit.pulls.createFromIssue() is deprecated, see https://developer.github.com/v3/pulls/#create-a-pull-request\",\n            method: \"POST\",\n            params: {\n                base: { required: true, type: \"string\" },\n                draft: { type: \"boolean\" },\n                head: { required: true, type: \"string\" },\n                issue: { required: true, type: \"integer\" },\n                maintainer_can_modify: { type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls\"\n        },\n        createReview: {\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                comments: { type: \"object[]\" },\n                \"comments[].body\": { required: true, type: \"string\" },\n                \"comments[].path\": { required: true, type: \"string\" },\n                \"comments[].position\": { required: true, type: \"integer\" },\n                commit_id: { type: \"string\" },\n                event: {\n                    enum: [\"APPROVE\", \"REQUEST_CHANGES\", \"COMMENT\"],\n                    type: \"string\"\n                },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews\"\n        },\n        createReviewCommentReply: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies\"\n        },\n        createReviewRequest: {\n            method: \"POST\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                reviewers: { type: \"string[]\" },\n                team_reviewers: { type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/requested_reviewers\"\n        },\n        deleteComment: {\n            method: \"DELETE\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id\"\n        },\n        deletePendingReview: {\n            method: \"DELETE\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id\"\n        },\n        deleteReviewRequest: {\n            method: \"DELETE\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                reviewers: { type: \"string[]\" },\n                team_reviewers: { type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/requested_reviewers\"\n        },\n        dismissReview: {\n            method: \"PUT\",\n            params: {\n                message: { required: true, type: \"string\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals\"\n        },\n        get: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number\"\n        },\n        getComment: {\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id\"\n        },\n        getCommentsForReview: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments\"\n        },\n        getReview: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                base: { type: \"string\" },\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                head: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sort: {\n                    enum: [\"created\", \"updated\", \"popularity\", \"long-running\"],\n                    type: \"string\"\n                },\n                state: { enum: [\"open\", \"closed\", \"all\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls\"\n        },\n        listComments: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/comments\"\n        },\n        listCommentsForRepo: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                since: { type: \"string\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments\"\n        },\n        listCommits: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/commits\"\n        },\n        listFiles: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/files\"\n        },\n        listReviewRequests: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/requested_reviewers\"\n        },\n        listReviews: {\n            method: \"GET\",\n            params: {\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews\"\n        },\n        merge: {\n            method: \"PUT\",\n            params: {\n                commit_message: { type: \"string\" },\n                commit_title: { type: \"string\" },\n                merge_method: { enum: [\"merge\", \"squash\", \"rebase\"], type: \"string\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/merge\"\n        },\n        submitReview: {\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                event: {\n                    enum: [\"APPROVE\", \"REQUEST_CHANGES\", \"COMMENT\"],\n                    required: true,\n                    type: \"string\"\n                },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                base: { type: \"string\" },\n                body: { type: \"string\" },\n                maintainer_can_modify: { type: \"boolean\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                state: { enum: [\"open\", \"closed\"], type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number\"\n        },\n        updateBranch: {\n            headers: { accept: \"application/vnd.github.lydian-preview+json\" },\n            method: \"PUT\",\n            params: {\n                expected_head_sha: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/update-branch\"\n        },\n        updateComment: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id\"\n        },\n        updateReview: {\n            method: \"PUT\",\n            params: {\n                body: { required: true, type: \"string\" },\n                number: { alias: \"pull_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                pull_number: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                review_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id\"\n        }\n    },\n    rateLimit: { get: { method: \"GET\", params: {}, url: \"/rate_limit\" } },\n    reactions: {\n        createForCommitComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id/reactions\"\n        },\n        createForIssue: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/reactions\"\n        },\n        createForIssueComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id/reactions\"\n        },\n        createForPullRequestReviewComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id/reactions\"\n        },\n        createForTeamDiscussion: {\n            deprecated: \"octokit.reactions.createForTeamDiscussion() has been renamed to octokit.reactions.createForTeamDiscussionLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/reactions\"\n        },\n        createForTeamDiscussionComment: {\n            deprecated: \"octokit.reactions.createForTeamDiscussionComment() has been renamed to octokit.reactions.createForTeamDiscussionCommentLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        createForTeamDiscussionCommentInOrg: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        createForTeamDiscussionCommentLegacy: {\n            deprecated: \"octokit.reactions.createForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        createForTeamDiscussionInOrg: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions\"\n        },\n        createForTeamDiscussionLegacy: {\n            deprecated: \"octokit.reactions.createForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"POST\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/reactions\"\n        },\n        delete: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"DELETE\",\n            params: { reaction_id: { required: true, type: \"integer\" } },\n            url: \"/reactions/:reaction_id\"\n        },\n        listForCommitComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id/reactions\"\n        },\n        listForIssue: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                issue_number: { required: true, type: \"integer\" },\n                number: { alias: \"issue_number\", deprecated: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/:issue_number/reactions\"\n        },\n        listForIssueComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/issues/comments/:comment_id/reactions\"\n        },\n        listForPullRequestReviewComment: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pulls/comments/:comment_id/reactions\"\n        },\n        listForTeamDiscussion: {\n            deprecated: \"octokit.reactions.listForTeamDiscussion() has been renamed to octokit.reactions.listForTeamDiscussionLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/reactions\"\n        },\n        listForTeamDiscussionComment: {\n            deprecated: \"octokit.reactions.listForTeamDiscussionComment() has been renamed to octokit.reactions.listForTeamDiscussionCommentLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        listForTeamDiscussionCommentInOrg: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        listForTeamDiscussionCommentLegacy: {\n            deprecated: \"octokit.reactions.listForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions\"\n        },\n        listForTeamDiscussionInOrg: {\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions\"\n        },\n        listForTeamDiscussionLegacy: {\n            deprecated: \"octokit.reactions.listForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy\",\n            headers: { accept: \"application/vnd.github.squirrel-girl-preview+json\" },\n            method: \"GET\",\n            params: {\n                content: {\n                    enum: [\n                        \"+1\",\n                        \"-1\",\n                        \"laugh\",\n                        \"confused\",\n                        \"heart\",\n                        \"hooray\",\n                        \"rocket\",\n                        \"eyes\"\n                    ],\n                    type: \"string\"\n                },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/reactions\"\n        }\n    },\n    repos: {\n        acceptInvitation: {\n            method: \"PATCH\",\n            params: { invitation_id: { required: true, type: \"integer\" } },\n            url: \"/user/repository_invitations/:invitation_id\"\n        },\n        addCollaborator: {\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators/:username\"\n        },\n        addDeployKey: {\n            method: \"POST\",\n            params: {\n                key: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                read_only: { type: \"boolean\" },\n                repo: { required: true, type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/keys\"\n        },\n        addProtectedBranchAdminEnforcement: {\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/enforce_admins\"\n        },\n        addProtectedBranchAppRestrictions: {\n            method: \"POST\",\n            params: {\n                apps: { mapTo: \"data\", required: true, type: \"string[]\" },\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        addProtectedBranchRequiredSignatures: {\n            headers: { accept: \"application/vnd.github.zzzax-preview+json\" },\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_signatures\"\n        },\n        addProtectedBranchRequiredStatusChecksContexts: {\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                contexts: { mapTo: \"data\", required: true, type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts\"\n        },\n        addProtectedBranchTeamRestrictions: {\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                teams: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        addProtectedBranchUserRestrictions: {\n            method: \"POST\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                users: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        checkCollaborator: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators/:username\"\n        },\n        checkVulnerabilityAlerts: {\n            headers: { accept: \"application/vnd.github.dorian-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/vulnerability-alerts\"\n        },\n        compareCommits: {\n            method: \"GET\",\n            params: {\n                base: { required: true, type: \"string\" },\n                head: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/compare/:base...:head\"\n        },\n        createCommitComment: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                commit_sha: { required: true, type: \"string\" },\n                line: { type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                path: { type: \"string\" },\n                position: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sha: { alias: \"commit_sha\", deprecated: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:commit_sha/comments\"\n        },\n        createDeployment: {\n            method: \"POST\",\n            params: {\n                auto_merge: { type: \"boolean\" },\n                description: { type: \"string\" },\n                environment: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                payload: { type: \"string\" },\n                production_environment: { type: \"boolean\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                required_contexts: { type: \"string[]\" },\n                task: { type: \"string\" },\n                transient_environment: { type: \"boolean\" }\n            },\n            url: \"/repos/:owner/:repo/deployments\"\n        },\n        createDeploymentStatus: {\n            method: \"POST\",\n            params: {\n                auto_inactive: { type: \"boolean\" },\n                deployment_id: { required: true, type: \"integer\" },\n                description: { type: \"string\" },\n                environment: { enum: [\"production\", \"staging\", \"qa\"], type: \"string\" },\n                environment_url: { type: \"string\" },\n                log_url: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                state: {\n                    enum: [\n                        \"error\",\n                        \"failure\",\n                        \"inactive\",\n                        \"in_progress\",\n                        \"queued\",\n                        \"pending\",\n                        \"success\"\n                    ],\n                    required: true,\n                    type: \"string\"\n                },\n                target_url: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/deployments/:deployment_id/statuses\"\n        },\n        createDispatchEvent: {\n            method: \"POST\",\n            params: {\n                client_payload: { type: \"object\" },\n                event_type: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/dispatches\"\n        },\n        createFile: {\n            deprecated: \"octokit.repos.createFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)\",\n            method: \"PUT\",\n            params: {\n                author: { type: \"object\" },\n                \"author.email\": { required: true, type: \"string\" },\n                \"author.name\": { required: true, type: \"string\" },\n                branch: { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.email\": { required: true, type: \"string\" },\n                \"committer.name\": { required: true, type: \"string\" },\n                content: { required: true, type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        createForAuthenticatedUser: {\n            method: \"POST\",\n            params: {\n                allow_merge_commit: { type: \"boolean\" },\n                allow_rebase_merge: { type: \"boolean\" },\n                allow_squash_merge: { type: \"boolean\" },\n                auto_init: { type: \"boolean\" },\n                delete_branch_on_merge: { type: \"boolean\" },\n                description: { type: \"string\" },\n                gitignore_template: { type: \"string\" },\n                has_issues: { type: \"boolean\" },\n                has_projects: { type: \"boolean\" },\n                has_wiki: { type: \"boolean\" },\n                homepage: { type: \"string\" },\n                is_template: { type: \"boolean\" },\n                license_template: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_id: { type: \"integer\" },\n                visibility: {\n                    enum: [\"public\", \"private\", \"visibility\", \"internal\"],\n                    type: \"string\"\n                }\n            },\n            url: \"/user/repos\"\n        },\n        createFork: {\n            method: \"POST\",\n            params: {\n                organization: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/forks\"\n        },\n        createHook: {\n            method: \"POST\",\n            params: {\n                active: { type: \"boolean\" },\n                config: { required: true, type: \"object\" },\n                \"config.content_type\": { type: \"string\" },\n                \"config.insecure_ssl\": { type: \"string\" },\n                \"config.secret\": { type: \"string\" },\n                \"config.url\": { required: true, type: \"string\" },\n                events: { type: \"string[]\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks\"\n        },\n        createInOrg: {\n            method: \"POST\",\n            params: {\n                allow_merge_commit: { type: \"boolean\" },\n                allow_rebase_merge: { type: \"boolean\" },\n                allow_squash_merge: { type: \"boolean\" },\n                auto_init: { type: \"boolean\" },\n                delete_branch_on_merge: { type: \"boolean\" },\n                description: { type: \"string\" },\n                gitignore_template: { type: \"string\" },\n                has_issues: { type: \"boolean\" },\n                has_projects: { type: \"boolean\" },\n                has_wiki: { type: \"boolean\" },\n                homepage: { type: \"string\" },\n                is_template: { type: \"boolean\" },\n                license_template: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_id: { type: \"integer\" },\n                visibility: {\n                    enum: [\"public\", \"private\", \"visibility\", \"internal\"],\n                    type: \"string\"\n                }\n            },\n            url: \"/orgs/:org/repos\"\n        },\n        createOrUpdateFile: {\n            method: \"PUT\",\n            params: {\n                author: { type: \"object\" },\n                \"author.email\": { required: true, type: \"string\" },\n                \"author.name\": { required: true, type: \"string\" },\n                branch: { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.email\": { required: true, type: \"string\" },\n                \"committer.name\": { required: true, type: \"string\" },\n                content: { required: true, type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        createRelease: {\n            method: \"POST\",\n            params: {\n                body: { type: \"string\" },\n                draft: { type: \"boolean\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                prerelease: { type: \"boolean\" },\n                repo: { required: true, type: \"string\" },\n                tag_name: { required: true, type: \"string\" },\n                target_commitish: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases\"\n        },\n        createStatus: {\n            method: \"POST\",\n            params: {\n                context: { type: \"string\" },\n                description: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" },\n                state: {\n                    enum: [\"error\", \"failure\", \"pending\", \"success\"],\n                    required: true,\n                    type: \"string\"\n                },\n                target_url: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/statuses/:sha\"\n        },\n        createUsingTemplate: {\n            headers: { accept: \"application/vnd.github.baptiste-preview+json\" },\n            method: \"POST\",\n            params: {\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                owner: { type: \"string\" },\n                private: { type: \"boolean\" },\n                template_owner: { required: true, type: \"string\" },\n                template_repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:template_owner/:template_repo/generate\"\n        },\n        declineInvitation: {\n            method: \"DELETE\",\n            params: { invitation_id: { required: true, type: \"integer\" } },\n            url: \"/user/repository_invitations/:invitation_id\"\n        },\n        delete: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo\"\n        },\n        deleteCommitComment: {\n            method: \"DELETE\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id\"\n        },\n        deleteDownload: {\n            method: \"DELETE\",\n            params: {\n                download_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/downloads/:download_id\"\n        },\n        deleteFile: {\n            method: \"DELETE\",\n            params: {\n                author: { type: \"object\" },\n                \"author.email\": { type: \"string\" },\n                \"author.name\": { type: \"string\" },\n                branch: { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.email\": { type: \"string\" },\n                \"committer.name\": { type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        deleteHook: {\n            method: \"DELETE\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id\"\n        },\n        deleteInvitation: {\n            method: \"DELETE\",\n            params: {\n                invitation_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/invitations/:invitation_id\"\n        },\n        deleteRelease: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                release_id: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/:release_id\"\n        },\n        deleteReleaseAsset: {\n            method: \"DELETE\",\n            params: {\n                asset_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/assets/:asset_id\"\n        },\n        disableAutomatedSecurityFixes: {\n            headers: { accept: \"application/vnd.github.london-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/automated-security-fixes\"\n        },\n        disablePagesSite: {\n            headers: { accept: \"application/vnd.github.switcheroo-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages\"\n        },\n        disableVulnerabilityAlerts: {\n            headers: { accept: \"application/vnd.github.dorian-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/vulnerability-alerts\"\n        },\n        enableAutomatedSecurityFixes: {\n            headers: { accept: \"application/vnd.github.london-preview+json\" },\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/automated-security-fixes\"\n        },\n        enablePagesSite: {\n            headers: { accept: \"application/vnd.github.switcheroo-preview+json\" },\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                source: { type: \"object\" },\n                \"source.branch\": { enum: [\"master\", \"gh-pages\"], type: \"string\" },\n                \"source.path\": { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages\"\n        },\n        enableVulnerabilityAlerts: {\n            headers: { accept: \"application/vnd.github.dorian-preview+json\" },\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/vulnerability-alerts\"\n        },\n        get: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo\"\n        },\n        getAppsWithAccessToProtectedBranch: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        getArchiveLink: {\n            method: \"GET\",\n            params: {\n                archive_format: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/:archive_format/:ref\"\n        },\n        getBranch: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch\"\n        },\n        getBranchProtection: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection\"\n        },\n        getClones: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                per: { enum: [\"day\", \"week\"], type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/traffic/clones\"\n        },\n        getCodeFrequencyStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/code_frequency\"\n        },\n        getCollaboratorPermissionLevel: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators/:username/permission\"\n        },\n        getCombinedStatusForRef: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref/status\"\n        },\n        getCommit: {\n            method: \"GET\",\n            params: {\n                commit_sha: { alias: \"ref\", deprecated: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { alias: \"ref\", deprecated: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref\"\n        },\n        getCommitActivityStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/commit_activity\"\n        },\n        getCommitComment: {\n            method: \"GET\",\n            params: {\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id\"\n        },\n        getCommitRefSha: {\n            deprecated: \"octokit.repos.getCommitRefSha() is deprecated, see https://developer.github.com/v3/repos/commits/#get-a-single-commit\",\n            headers: { accept: \"application/vnd.github.v3.sha\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref\"\n        },\n        getContents: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                ref: { type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        getContributorsStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/contributors\"\n        },\n        getDeployKey: {\n            method: \"GET\",\n            params: {\n                key_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/keys/:key_id\"\n        },\n        getDeployment: {\n            method: \"GET\",\n            params: {\n                deployment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/deployments/:deployment_id\"\n        },\n        getDeploymentStatus: {\n            method: \"GET\",\n            params: {\n                deployment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                status_id: { required: true, type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id\"\n        },\n        getDownload: {\n            method: \"GET\",\n            params: {\n                download_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/downloads/:download_id\"\n        },\n        getHook: {\n            method: \"GET\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id\"\n        },\n        getLatestPagesBuild: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages/builds/latest\"\n        },\n        getLatestRelease: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/latest\"\n        },\n        getPages: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages\"\n        },\n        getPagesBuild: {\n            method: \"GET\",\n            params: {\n                build_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages/builds/:build_id\"\n        },\n        getParticipationStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/participation\"\n        },\n        getProtectedBranchAdminEnforcement: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/enforce_admins\"\n        },\n        getProtectedBranchPullRequestReviewEnforcement: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews\"\n        },\n        getProtectedBranchRequiredSignatures: {\n            headers: { accept: \"application/vnd.github.zzzax-preview+json\" },\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_signatures\"\n        },\n        getProtectedBranchRequiredStatusChecks: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks\"\n        },\n        getProtectedBranchRestrictions: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions\"\n        },\n        getPunchCardStats: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/stats/punch_card\"\n        },\n        getReadme: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                ref: { type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/readme\"\n        },\n        getRelease: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                release_id: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/:release_id\"\n        },\n        getReleaseAsset: {\n            method: \"GET\",\n            params: {\n                asset_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/assets/:asset_id\"\n        },\n        getReleaseByTag: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                tag: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/tags/:tag\"\n        },\n        getTeamsWithAccessToProtectedBranch: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        getTopPaths: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/traffic/popular/paths\"\n        },\n        getTopReferrers: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/traffic/popular/referrers\"\n        },\n        getUsersWithAccessToProtectedBranch: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        getViews: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                per: { enum: [\"day\", \"week\"], type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/traffic/views\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                affiliation: { type: \"string\" },\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: {\n                    enum: [\"created\", \"updated\", \"pushed\", \"full_name\"],\n                    type: \"string\"\n                },\n                type: {\n                    enum: [\"all\", \"owner\", \"public\", \"private\", \"member\"],\n                    type: \"string\"\n                },\n                visibility: { enum: [\"all\", \"public\", \"private\"], type: \"string\" }\n            },\n            url: \"/user/repos\"\n        },\n        listAppsWithAccessToProtectedBranch: {\n            deprecated: \"octokit.repos.listAppsWithAccessToProtectedBranch() has been renamed to octokit.repos.getAppsWithAccessToProtectedBranch() (2019-09-13)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        listAssetsForRelease: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                release_id: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/:release_id/assets\"\n        },\n        listBranches: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                protected: { type: \"boolean\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches\"\n        },\n        listBranchesForHeadCommit: {\n            headers: { accept: \"application/vnd.github.groot-preview+json\" },\n            method: \"GET\",\n            params: {\n                commit_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:commit_sha/branches-where-head\"\n        },\n        listCollaborators: {\n            method: \"GET\",\n            params: {\n                affiliation: { enum: [\"outside\", \"direct\", \"all\"], type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators\"\n        },\n        listCommentsForCommit: {\n            method: \"GET\",\n            params: {\n                commit_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { alias: \"commit_sha\", deprecated: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:commit_sha/comments\"\n        },\n        listCommitComments: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments\"\n        },\n        listCommits: {\n            method: \"GET\",\n            params: {\n                author: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                path: { type: \"string\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" },\n                since: { type: \"string\" },\n                until: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits\"\n        },\n        listContributors: {\n            method: \"GET\",\n            params: {\n                anon: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contributors\"\n        },\n        listDeployKeys: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/keys\"\n        },\n        listDeploymentStatuses: {\n            method: \"GET\",\n            params: {\n                deployment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/deployments/:deployment_id/statuses\"\n        },\n        listDeployments: {\n            method: \"GET\",\n            params: {\n                environment: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" },\n                task: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/deployments\"\n        },\n        listDownloads: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/downloads\"\n        },\n        listForOrg: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: {\n                    enum: [\"created\", \"updated\", \"pushed\", \"full_name\"],\n                    type: \"string\"\n                },\n                type: {\n                    enum: [\n                        \"all\",\n                        \"public\",\n                        \"private\",\n                        \"forks\",\n                        \"sources\",\n                        \"member\",\n                        \"internal\"\n                    ],\n                    type: \"string\"\n                }\n            },\n            url: \"/orgs/:org/repos\"\n        },\n        listForUser: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                sort: {\n                    enum: [\"created\", \"updated\", \"pushed\", \"full_name\"],\n                    type: \"string\"\n                },\n                type: { enum: [\"all\", \"owner\", \"member\"], type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/repos\"\n        },\n        listForks: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                sort: { enum: [\"newest\", \"oldest\", \"stargazers\"], type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/forks\"\n        },\n        listHooks: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks\"\n        },\n        listInvitations: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/invitations\"\n        },\n        listInvitationsForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/repository_invitations\"\n        },\n        listLanguages: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/languages\"\n        },\n        listPagesBuilds: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages/builds\"\n        },\n        listProtectedBranchRequiredStatusChecksContexts: {\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts\"\n        },\n        listProtectedBranchTeamRestrictions: {\n            deprecated: \"octokit.repos.listProtectedBranchTeamRestrictions() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-09)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        listProtectedBranchUserRestrictions: {\n            deprecated: \"octokit.repos.listProtectedBranchUserRestrictions() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-09)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        listPublic: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"integer\" }\n            },\n            url: \"/repositories\"\n        },\n        listPullRequestsAssociatedWithCommit: {\n            headers: { accept: \"application/vnd.github.groot-preview+json\" },\n            method: \"GET\",\n            params: {\n                commit_sha: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:commit_sha/pulls\"\n        },\n        listReleases: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases\"\n        },\n        listStatusesForRef: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                ref: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/commits/:ref/statuses\"\n        },\n        listTags: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/tags\"\n        },\n        listTeams: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/teams\"\n        },\n        listTeamsWithAccessToProtectedBranch: {\n            deprecated: \"octokit.repos.listTeamsWithAccessToProtectedBranch() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-13)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        listTopics: {\n            headers: { accept: \"application/vnd.github.mercy-preview+json\" },\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/topics\"\n        },\n        listUsersWithAccessToProtectedBranch: {\n            deprecated: \"octokit.repos.listUsersWithAccessToProtectedBranch() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-13)\",\n            method: \"GET\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        merge: {\n            method: \"POST\",\n            params: {\n                base: { required: true, type: \"string\" },\n                commit_message: { type: \"string\" },\n                head: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/merges\"\n        },\n        pingHook: {\n            method: \"POST\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id/pings\"\n        },\n        removeBranchProtection: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection\"\n        },\n        removeCollaborator: {\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/collaborators/:username\"\n        },\n        removeDeployKey: {\n            method: \"DELETE\",\n            params: {\n                key_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/keys/:key_id\"\n        },\n        removeProtectedBranchAdminEnforcement: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/enforce_admins\"\n        },\n        removeProtectedBranchAppRestrictions: {\n            method: \"DELETE\",\n            params: {\n                apps: { mapTo: \"data\", required: true, type: \"string[]\" },\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        removeProtectedBranchPullRequestReviewEnforcement: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews\"\n        },\n        removeProtectedBranchRequiredSignatures: {\n            headers: { accept: \"application/vnd.github.zzzax-preview+json\" },\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_signatures\"\n        },\n        removeProtectedBranchRequiredStatusChecks: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks\"\n        },\n        removeProtectedBranchRequiredStatusChecksContexts: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                contexts: { mapTo: \"data\", required: true, type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts\"\n        },\n        removeProtectedBranchRestrictions: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions\"\n        },\n        removeProtectedBranchTeamRestrictions: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                teams: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        removeProtectedBranchUserRestrictions: {\n            method: \"DELETE\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                users: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        replaceProtectedBranchAppRestrictions: {\n            method: \"PUT\",\n            params: {\n                apps: { mapTo: \"data\", required: true, type: \"string[]\" },\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/apps\"\n        },\n        replaceProtectedBranchRequiredStatusChecksContexts: {\n            method: \"PUT\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                contexts: { mapTo: \"data\", required: true, type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts\"\n        },\n        replaceProtectedBranchTeamRestrictions: {\n            method: \"PUT\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                teams: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/teams\"\n        },\n        replaceProtectedBranchUserRestrictions: {\n            method: \"PUT\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                users: { mapTo: \"data\", required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/restrictions/users\"\n        },\n        replaceTopics: {\n            headers: { accept: \"application/vnd.github.mercy-preview+json\" },\n            method: \"PUT\",\n            params: {\n                names: { required: true, type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/topics\"\n        },\n        requestPageBuild: {\n            method: \"POST\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/pages/builds\"\n        },\n        retrieveCommunityProfileMetrics: {\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/community/profile\"\n        },\n        testPushHook: {\n            method: \"POST\",\n            params: {\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id/tests\"\n        },\n        transfer: {\n            method: \"POST\",\n            params: {\n                new_owner: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_ids: { type: \"integer[]\" }\n            },\n            url: \"/repos/:owner/:repo/transfer\"\n        },\n        update: {\n            method: \"PATCH\",\n            params: {\n                allow_merge_commit: { type: \"boolean\" },\n                allow_rebase_merge: { type: \"boolean\" },\n                allow_squash_merge: { type: \"boolean\" },\n                archived: { type: \"boolean\" },\n                default_branch: { type: \"string\" },\n                delete_branch_on_merge: { type: \"boolean\" },\n                description: { type: \"string\" },\n                has_issues: { type: \"boolean\" },\n                has_projects: { type: \"boolean\" },\n                has_wiki: { type: \"boolean\" },\n                homepage: { type: \"string\" },\n                is_template: { type: \"boolean\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                repo: { required: true, type: \"string\" },\n                visibility: {\n                    enum: [\"public\", \"private\", \"visibility\", \"internal\"],\n                    type: \"string\"\n                }\n            },\n            url: \"/repos/:owner/:repo\"\n        },\n        updateBranchProtection: {\n            method: \"PUT\",\n            params: {\n                allow_deletions: { type: \"boolean\" },\n                allow_force_pushes: { allowNull: true, type: \"boolean\" },\n                branch: { required: true, type: \"string\" },\n                enforce_admins: { allowNull: true, required: true, type: \"boolean\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                required_linear_history: { type: \"boolean\" },\n                required_pull_request_reviews: {\n                    allowNull: true,\n                    required: true,\n                    type: \"object\"\n                },\n                \"required_pull_request_reviews.dismiss_stale_reviews\": {\n                    type: \"boolean\"\n                },\n                \"required_pull_request_reviews.dismissal_restrictions\": {\n                    type: \"object\"\n                },\n                \"required_pull_request_reviews.dismissal_restrictions.teams\": {\n                    type: \"string[]\"\n                },\n                \"required_pull_request_reviews.dismissal_restrictions.users\": {\n                    type: \"string[]\"\n                },\n                \"required_pull_request_reviews.require_code_owner_reviews\": {\n                    type: \"boolean\"\n                },\n                \"required_pull_request_reviews.required_approving_review_count\": {\n                    type: \"integer\"\n                },\n                required_status_checks: {\n                    allowNull: true,\n                    required: true,\n                    type: \"object\"\n                },\n                \"required_status_checks.contexts\": { required: true, type: \"string[]\" },\n                \"required_status_checks.strict\": { required: true, type: \"boolean\" },\n                restrictions: { allowNull: true, required: true, type: \"object\" },\n                \"restrictions.apps\": { type: \"string[]\" },\n                \"restrictions.teams\": { required: true, type: \"string[]\" },\n                \"restrictions.users\": { required: true, type: \"string[]\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection\"\n        },\n        updateCommitComment: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/comments/:comment_id\"\n        },\n        updateFile: {\n            deprecated: \"octokit.repos.updateFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)\",\n            method: \"PUT\",\n            params: {\n                author: { type: \"object\" },\n                \"author.email\": { required: true, type: \"string\" },\n                \"author.name\": { required: true, type: \"string\" },\n                branch: { type: \"string\" },\n                committer: { type: \"object\" },\n                \"committer.email\": { required: true, type: \"string\" },\n                \"committer.name\": { required: true, type: \"string\" },\n                content: { required: true, type: \"string\" },\n                message: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                path: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                sha: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/contents/:path\"\n        },\n        updateHook: {\n            method: \"PATCH\",\n            params: {\n                active: { type: \"boolean\" },\n                add_events: { type: \"string[]\" },\n                config: { type: \"object\" },\n                \"config.content_type\": { type: \"string\" },\n                \"config.insecure_ssl\": { type: \"string\" },\n                \"config.secret\": { type: \"string\" },\n                \"config.url\": { required: true, type: \"string\" },\n                events: { type: \"string[]\" },\n                hook_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                remove_events: { type: \"string[]\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/hooks/:hook_id\"\n        },\n        updateInformationAboutPagesSite: {\n            method: \"PUT\",\n            params: {\n                cname: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                source: {\n                    enum: ['\"gh-pages\"', '\"master\"', '\"master /docs\"'],\n                    type: \"string\"\n                }\n            },\n            url: \"/repos/:owner/:repo/pages\"\n        },\n        updateInvitation: {\n            method: \"PATCH\",\n            params: {\n                invitation_id: { required: true, type: \"integer\" },\n                owner: { required: true, type: \"string\" },\n                permissions: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/invitations/:invitation_id\"\n        },\n        updateProtectedBranchPullRequestReviewEnforcement: {\n            method: \"PATCH\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                dismiss_stale_reviews: { type: \"boolean\" },\n                dismissal_restrictions: { type: \"object\" },\n                \"dismissal_restrictions.teams\": { type: \"string[]\" },\n                \"dismissal_restrictions.users\": { type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                require_code_owner_reviews: { type: \"boolean\" },\n                required_approving_review_count: { type: \"integer\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews\"\n        },\n        updateProtectedBranchRequiredStatusChecks: {\n            method: \"PATCH\",\n            params: {\n                branch: { required: true, type: \"string\" },\n                contexts: { type: \"string[]\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                strict: { type: \"boolean\" }\n            },\n            url: \"/repos/:owner/:repo/branches/:branch/protection/required_status_checks\"\n        },\n        updateRelease: {\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                draft: { type: \"boolean\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                prerelease: { type: \"boolean\" },\n                release_id: { required: true, type: \"integer\" },\n                repo: { required: true, type: \"string\" },\n                tag_name: { type: \"string\" },\n                target_commitish: { type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/:release_id\"\n        },\n        updateReleaseAsset: {\n            method: \"PATCH\",\n            params: {\n                asset_id: { required: true, type: \"integer\" },\n                label: { type: \"string\" },\n                name: { type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" }\n            },\n            url: \"/repos/:owner/:repo/releases/assets/:asset_id\"\n        },\n        uploadReleaseAsset: {\n            method: \"POST\",\n            params: {\n                data: { mapTo: \"data\", required: true, type: \"string | object\" },\n                file: { alias: \"data\", deprecated: true, type: \"string | object\" },\n                headers: { required: true, type: \"object\" },\n                \"headers.content-length\": { required: true, type: \"integer\" },\n                \"headers.content-type\": { required: true, type: \"string\" },\n                label: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                url: { required: true, type: \"string\" }\n            },\n            url: \":url\"\n        }\n    },\n    search: {\n        code: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: { enum: [\"indexed\"], type: \"string\" }\n            },\n            url: \"/search/code\"\n        },\n        commits: {\n            headers: { accept: \"application/vnd.github.cloak-preview+json\" },\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: { enum: [\"author-date\", \"committer-date\"], type: \"string\" }\n            },\n            url: \"/search/commits\"\n        },\n        issues: {\n            deprecated: \"octokit.search.issues() has been renamed to octokit.search.issuesAndPullRequests() (2018-12-27)\",\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: {\n                    enum: [\n                        \"comments\",\n                        \"reactions\",\n                        \"reactions-+1\",\n                        \"reactions--1\",\n                        \"reactions-smile\",\n                        \"reactions-thinking_face\",\n                        \"reactions-heart\",\n                        \"reactions-tada\",\n                        \"interactions\",\n                        \"created\",\n                        \"updated\"\n                    ],\n                    type: \"string\"\n                }\n            },\n            url: \"/search/issues\"\n        },\n        issuesAndPullRequests: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: {\n                    enum: [\n                        \"comments\",\n                        \"reactions\",\n                        \"reactions-+1\",\n                        \"reactions--1\",\n                        \"reactions-smile\",\n                        \"reactions-thinking_face\",\n                        \"reactions-heart\",\n                        \"reactions-tada\",\n                        \"interactions\",\n                        \"created\",\n                        \"updated\"\n                    ],\n                    type: \"string\"\n                }\n            },\n            url: \"/search/issues\"\n        },\n        labels: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                q: { required: true, type: \"string\" },\n                repository_id: { required: true, type: \"integer\" },\n                sort: { enum: [\"created\", \"updated\"], type: \"string\" }\n            },\n            url: \"/search/labels\"\n        },\n        repos: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: {\n                    enum: [\"stars\", \"forks\", \"help-wanted-issues\", \"updated\"],\n                    type: \"string\"\n                }\n            },\n            url: \"/search/repositories\"\n        },\n        topics: {\n            method: \"GET\",\n            params: { q: { required: true, type: \"string\" } },\n            url: \"/search/topics\"\n        },\n        users: {\n            method: \"GET\",\n            params: {\n                order: { enum: [\"desc\", \"asc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                q: { required: true, type: \"string\" },\n                sort: { enum: [\"followers\", \"repositories\", \"joined\"], type: \"string\" }\n            },\n            url: \"/search/users\"\n        }\n    },\n    teams: {\n        addMember: {\n            deprecated: \"octokit.teams.addMember() has been renamed to octokit.teams.addMemberLegacy() (2020-01-16)\",\n            method: \"PUT\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        addMemberLegacy: {\n            deprecated: \"octokit.teams.addMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy\",\n            method: \"PUT\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        addOrUpdateMembership: {\n            deprecated: \"octokit.teams.addOrUpdateMembership() has been renamed to octokit.teams.addOrUpdateMembershipLegacy() (2020-01-16)\",\n            method: \"PUT\",\n            params: {\n                role: { enum: [\"member\", \"maintainer\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        addOrUpdateMembershipInOrg: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                role: { enum: [\"member\", \"maintainer\"], type: \"string\" },\n                team_slug: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/memberships/:username\"\n        },\n        addOrUpdateMembershipLegacy: {\n            deprecated: \"octokit.teams.addOrUpdateMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy\",\n            method: \"PUT\",\n            params: {\n                role: { enum: [\"member\", \"maintainer\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        addOrUpdateProject: {\n            deprecated: \"octokit.teams.addOrUpdateProject() has been renamed to octokit.teams.addOrUpdateProjectLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PUT\",\n            params: {\n                permission: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        addOrUpdateProjectInOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                permission: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/projects/:project_id\"\n        },\n        addOrUpdateProjectLegacy: {\n            deprecated: \"octokit.teams.addOrUpdateProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"PUT\",\n            params: {\n                permission: { enum: [\"read\", \"write\", \"admin\"], type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        addOrUpdateRepo: {\n            deprecated: \"octokit.teams.addOrUpdateRepo() has been renamed to octokit.teams.addOrUpdateRepoLegacy() (2020-01-16)\",\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        addOrUpdateRepoInOrg: {\n            method: \"PUT\",\n            params: {\n                org: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/repos/:owner/:repo\"\n        },\n        addOrUpdateRepoLegacy: {\n            deprecated: \"octokit.teams.addOrUpdateRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy\",\n            method: \"PUT\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        checkManagesRepo: {\n            deprecated: \"octokit.teams.checkManagesRepo() has been renamed to octokit.teams.checkManagesRepoLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        checkManagesRepoInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/repos/:owner/:repo\"\n        },\n        checkManagesRepoLegacy: {\n            deprecated: \"octokit.teams.checkManagesRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy\",\n            method: \"GET\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        create: {\n            method: \"POST\",\n            params: {\n                description: { type: \"string\" },\n                maintainers: { type: \"string[]\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" },\n                parent_team_id: { type: \"integer\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                privacy: { enum: [\"secret\", \"closed\"], type: \"string\" },\n                repo_names: { type: \"string[]\" }\n            },\n            url: \"/orgs/:org/teams\"\n        },\n        createDiscussion: {\n            deprecated: \"octokit.teams.createDiscussion() has been renamed to octokit.teams.createDiscussionLegacy() (2020-01-16)\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_id: { required: true, type: \"integer\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/discussions\"\n        },\n        createDiscussionComment: {\n            deprecated: \"octokit.teams.createDiscussionComment() has been renamed to octokit.teams.createDiscussionCommentLegacy() (2020-01-16)\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments\"\n        },\n        createDiscussionCommentInOrg: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments\"\n        },\n        createDiscussionCommentLegacy: {\n            deprecated: \"octokit.teams.createDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments\"\n        },\n        createDiscussionInOrg: {\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_slug: { required: true, type: \"string\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions\"\n        },\n        createDiscussionLegacy: {\n            deprecated: \"octokit.teams.createDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy\",\n            method: \"POST\",\n            params: {\n                body: { required: true, type: \"string\" },\n                private: { type: \"boolean\" },\n                team_id: { required: true, type: \"integer\" },\n                title: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/discussions\"\n        },\n        delete: {\n            deprecated: \"octokit.teams.delete() has been renamed to octokit.teams.deleteLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: { team_id: { required: true, type: \"integer\" } },\n            url: \"/teams/:team_id\"\n        },\n        deleteDiscussion: {\n            deprecated: \"octokit.teams.deleteDiscussion() has been renamed to octokit.teams.deleteDiscussionLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        deleteDiscussionComment: {\n            deprecated: \"octokit.teams.deleteDiscussionComment() has been renamed to octokit.teams.deleteDiscussionCommentLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        deleteDiscussionCommentInOrg: {\n            method: \"DELETE\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number\"\n        },\n        deleteDiscussionCommentLegacy: {\n            deprecated: \"octokit.teams.deleteDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy\",\n            method: \"DELETE\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        deleteDiscussionInOrg: {\n            method: \"DELETE\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number\"\n        },\n        deleteDiscussionLegacy: {\n            deprecated: \"octokit.teams.deleteDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy\",\n            method: \"DELETE\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        deleteInOrg: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug\"\n        },\n        deleteLegacy: {\n            deprecated: \"octokit.teams.deleteLegacy() is deprecated, see https://developer.github.com/v3/teams/#delete-team-legacy\",\n            method: \"DELETE\",\n            params: { team_id: { required: true, type: \"integer\" } },\n            url: \"/teams/:team_id\"\n        },\n        get: {\n            deprecated: \"octokit.teams.get() has been renamed to octokit.teams.getLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: { team_id: { required: true, type: \"integer\" } },\n            url: \"/teams/:team_id\"\n        },\n        getByName: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug\"\n        },\n        getDiscussion: {\n            deprecated: \"octokit.teams.getDiscussion() has been renamed to octokit.teams.getDiscussionLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        getDiscussionComment: {\n            deprecated: \"octokit.teams.getDiscussionComment() has been renamed to octokit.teams.getDiscussionCommentLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        getDiscussionCommentInOrg: {\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number\"\n        },\n        getDiscussionCommentLegacy: {\n            deprecated: \"octokit.teams.getDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy\",\n            method: \"GET\",\n            params: {\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        getDiscussionInOrg: {\n            method: \"GET\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number\"\n        },\n        getDiscussionLegacy: {\n            deprecated: \"octokit.teams.getDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy\",\n            method: \"GET\",\n            params: {\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        getLegacy: {\n            deprecated: \"octokit.teams.getLegacy() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy\",\n            method: \"GET\",\n            params: { team_id: { required: true, type: \"integer\" } },\n            url: \"/teams/:team_id\"\n        },\n        getMember: {\n            deprecated: \"octokit.teams.getMember() has been renamed to octokit.teams.getMemberLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        getMemberLegacy: {\n            deprecated: \"octokit.teams.getMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy\",\n            method: \"GET\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        getMembership: {\n            deprecated: \"octokit.teams.getMembership() has been renamed to octokit.teams.getMembershipLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        getMembershipInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/memberships/:username\"\n        },\n        getMembershipLegacy: {\n            deprecated: \"octokit.teams.getMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-membership-legacy\",\n            method: \"GET\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" }\n            },\n            url: \"/orgs/:org/teams\"\n        },\n        listChild: {\n            deprecated: \"octokit.teams.listChild() has been renamed to octokit.teams.listChildLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/teams\"\n        },\n        listChildInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/teams\"\n        },\n        listChildLegacy: {\n            deprecated: \"octokit.teams.listChildLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-child-teams-legacy\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/teams\"\n        },\n        listDiscussionComments: {\n            deprecated: \"octokit.teams.listDiscussionComments() has been renamed to octokit.teams.listDiscussionCommentsLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments\"\n        },\n        listDiscussionCommentsInOrg: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments\"\n        },\n        listDiscussionCommentsLegacy: {\n            deprecated: \"octokit.teams.listDiscussionCommentsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy\",\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments\"\n        },\n        listDiscussions: {\n            deprecated: \"octokit.teams.listDiscussions() has been renamed to octokit.teams.listDiscussionsLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions\"\n        },\n        listDiscussionsInOrg: {\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions\"\n        },\n        listDiscussionsLegacy: {\n            deprecated: \"octokit.teams.listDiscussionsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy\",\n            method: \"GET\",\n            params: {\n                direction: { enum: [\"asc\", \"desc\"], type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions\"\n        },\n        listForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/teams\"\n        },\n        listMembers: {\n            deprecated: \"octokit.teams.listMembers() has been renamed to octokit.teams.listMembersLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                role: { enum: [\"member\", \"maintainer\", \"all\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/members\"\n        },\n        listMembersInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                role: { enum: [\"member\", \"maintainer\", \"all\"], type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/members\"\n        },\n        listMembersLegacy: {\n            deprecated: \"octokit.teams.listMembersLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-team-members-legacy\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                role: { enum: [\"member\", \"maintainer\", \"all\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/members\"\n        },\n        listPendingInvitations: {\n            deprecated: \"octokit.teams.listPendingInvitations() has been renamed to octokit.teams.listPendingInvitationsLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/invitations\"\n        },\n        listPendingInvitationsInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/invitations\"\n        },\n        listPendingInvitationsLegacy: {\n            deprecated: \"octokit.teams.listPendingInvitationsLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/invitations\"\n        },\n        listProjects: {\n            deprecated: \"octokit.teams.listProjects() has been renamed to octokit.teams.listProjectsLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects\"\n        },\n        listProjectsInOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/projects\"\n        },\n        listProjectsLegacy: {\n            deprecated: \"octokit.teams.listProjectsLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects\"\n        },\n        listRepos: {\n            deprecated: \"octokit.teams.listRepos() has been renamed to octokit.teams.listReposLegacy() (2020-01-16)\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos\"\n        },\n        listReposInOrg: {\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/repos\"\n        },\n        listReposLegacy: {\n            deprecated: \"octokit.teams.listReposLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy\",\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos\"\n        },\n        removeMember: {\n            deprecated: \"octokit.teams.removeMember() has been renamed to octokit.teams.removeMemberLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        removeMemberLegacy: {\n            deprecated: \"octokit.teams.removeMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy\",\n            method: \"DELETE\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/members/:username\"\n        },\n        removeMembership: {\n            deprecated: \"octokit.teams.removeMembership() has been renamed to octokit.teams.removeMembershipLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        removeMembershipInOrg: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/memberships/:username\"\n        },\n        removeMembershipLegacy: {\n            deprecated: \"octokit.teams.removeMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy\",\n            method: \"DELETE\",\n            params: {\n                team_id: { required: true, type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/teams/:team_id/memberships/:username\"\n        },\n        removeProject: {\n            deprecated: \"octokit.teams.removeProject() has been renamed to octokit.teams.removeProjectLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        removeProjectInOrg: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/projects/:project_id\"\n        },\n        removeProjectLegacy: {\n            deprecated: \"octokit.teams.removeProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy\",\n            method: \"DELETE\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        removeRepo: {\n            deprecated: \"octokit.teams.removeRepo() has been renamed to octokit.teams.removeRepoLegacy() (2020-01-16)\",\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        removeRepoInOrg: {\n            method: \"DELETE\",\n            params: {\n                org: { required: true, type: \"string\" },\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/repos/:owner/:repo\"\n        },\n        removeRepoLegacy: {\n            deprecated: \"octokit.teams.removeRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy\",\n            method: \"DELETE\",\n            params: {\n                owner: { required: true, type: \"string\" },\n                repo: { required: true, type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/repos/:owner/:repo\"\n        },\n        reviewProject: {\n            deprecated: \"octokit.teams.reviewProject() has been renamed to octokit.teams.reviewProjectLegacy() (2020-01-16)\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        reviewProjectInOrg: {\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                org: { required: true, type: \"string\" },\n                project_id: { required: true, type: \"integer\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/projects/:project_id\"\n        },\n        reviewProjectLegacy: {\n            deprecated: \"octokit.teams.reviewProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy\",\n            headers: { accept: \"application/vnd.github.inertia-preview+json\" },\n            method: \"GET\",\n            params: {\n                project_id: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/projects/:project_id\"\n        },\n        update: {\n            deprecated: \"octokit.teams.update() has been renamed to octokit.teams.updateLegacy() (2020-01-16)\",\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                parent_team_id: { type: \"integer\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                privacy: { enum: [\"secret\", \"closed\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id\"\n        },\n        updateDiscussion: {\n            deprecated: \"octokit.teams.updateDiscussion() has been renamed to octokit.teams.updateDiscussionLegacy() (2020-01-16)\",\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" },\n                title: { type: \"string\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        updateDiscussionComment: {\n            deprecated: \"octokit.teams.updateDiscussionComment() has been renamed to octokit.teams.updateDiscussionCommentLegacy() (2020-01-16)\",\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        updateDiscussionCommentInOrg: {\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number\"\n        },\n        updateDiscussionCommentLegacy: {\n            deprecated: \"octokit.teams.updateDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy\",\n            method: \"PATCH\",\n            params: {\n                body: { required: true, type: \"string\" },\n                comment_number: { required: true, type: \"integer\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number/comments/:comment_number\"\n        },\n        updateDiscussionInOrg: {\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                org: { required: true, type: \"string\" },\n                team_slug: { required: true, type: \"string\" },\n                title: { type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug/discussions/:discussion_number\"\n        },\n        updateDiscussionLegacy: {\n            deprecated: \"octokit.teams.updateDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy\",\n            method: \"PATCH\",\n            params: {\n                body: { type: \"string\" },\n                discussion_number: { required: true, type: \"integer\" },\n                team_id: { required: true, type: \"integer\" },\n                title: { type: \"string\" }\n            },\n            url: \"/teams/:team_id/discussions/:discussion_number\"\n        },\n        updateInOrg: {\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                org: { required: true, type: \"string\" },\n                parent_team_id: { type: \"integer\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                privacy: { enum: [\"secret\", \"closed\"], type: \"string\" },\n                team_slug: { required: true, type: \"string\" }\n            },\n            url: \"/orgs/:org/teams/:team_slug\"\n        },\n        updateLegacy: {\n            deprecated: \"octokit.teams.updateLegacy() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy\",\n            method: \"PATCH\",\n            params: {\n                description: { type: \"string\" },\n                name: { required: true, type: \"string\" },\n                parent_team_id: { type: \"integer\" },\n                permission: { enum: [\"pull\", \"push\", \"admin\"], type: \"string\" },\n                privacy: { enum: [\"secret\", \"closed\"], type: \"string\" },\n                team_id: { required: true, type: \"integer\" }\n            },\n            url: \"/teams/:team_id\"\n        }\n    },\n    users: {\n        addEmails: {\n            method: \"POST\",\n            params: { emails: { required: true, type: \"string[]\" } },\n            url: \"/user/emails\"\n        },\n        block: {\n            method: \"PUT\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/blocks/:username\"\n        },\n        checkBlocked: {\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/blocks/:username\"\n        },\n        checkFollowing: {\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/following/:username\"\n        },\n        checkFollowingForUser: {\n            method: \"GET\",\n            params: {\n                target_user: { required: true, type: \"string\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/following/:target_user\"\n        },\n        createGpgKey: {\n            method: \"POST\",\n            params: { armored_public_key: { type: \"string\" } },\n            url: \"/user/gpg_keys\"\n        },\n        createPublicKey: {\n            method: \"POST\",\n            params: { key: { type: \"string\" }, title: { type: \"string\" } },\n            url: \"/user/keys\"\n        },\n        deleteEmails: {\n            method: \"DELETE\",\n            params: { emails: { required: true, type: \"string[]\" } },\n            url: \"/user/emails\"\n        },\n        deleteGpgKey: {\n            method: \"DELETE\",\n            params: { gpg_key_id: { required: true, type: \"integer\" } },\n            url: \"/user/gpg_keys/:gpg_key_id\"\n        },\n        deletePublicKey: {\n            method: \"DELETE\",\n            params: { key_id: { required: true, type: \"integer\" } },\n            url: \"/user/keys/:key_id\"\n        },\n        follow: {\n            method: \"PUT\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/following/:username\"\n        },\n        getAuthenticated: { method: \"GET\", params: {}, url: \"/user\" },\n        getByUsername: {\n            method: \"GET\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/users/:username\"\n        },\n        getContextForUser: {\n            method: \"GET\",\n            params: {\n                subject_id: { type: \"string\" },\n                subject_type: {\n                    enum: [\"organization\", \"repository\", \"issue\", \"pull_request\"],\n                    type: \"string\"\n                },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/hovercard\"\n        },\n        getGpgKey: {\n            method: \"GET\",\n            params: { gpg_key_id: { required: true, type: \"integer\" } },\n            url: \"/user/gpg_keys/:gpg_key_id\"\n        },\n        getPublicKey: {\n            method: \"GET\",\n            params: { key_id: { required: true, type: \"integer\" } },\n            url: \"/user/keys/:key_id\"\n        },\n        list: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                since: { type: \"string\" }\n            },\n            url: \"/users\"\n        },\n        listBlocked: { method: \"GET\", params: {}, url: \"/user/blocks\" },\n        listEmails: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/emails\"\n        },\n        listFollowersForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/followers\"\n        },\n        listFollowersForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/followers\"\n        },\n        listFollowingForAuthenticatedUser: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/following\"\n        },\n        listFollowingForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/following\"\n        },\n        listGpgKeys: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/gpg_keys\"\n        },\n        listGpgKeysForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/gpg_keys\"\n        },\n        listPublicEmails: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/public_emails\"\n        },\n        listPublicKeys: {\n            method: \"GET\",\n            params: { page: { type: \"integer\" }, per_page: { type: \"integer\" } },\n            url: \"/user/keys\"\n        },\n        listPublicKeysForUser: {\n            method: \"GET\",\n            params: {\n                page: { type: \"integer\" },\n                per_page: { type: \"integer\" },\n                username: { required: true, type: \"string\" }\n            },\n            url: \"/users/:username/keys\"\n        },\n        togglePrimaryEmailVisibility: {\n            method: \"PATCH\",\n            params: {\n                email: { required: true, type: \"string\" },\n                visibility: { required: true, type: \"string\" }\n            },\n            url: \"/user/email/visibility\"\n        },\n        unblock: {\n            method: \"DELETE\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/blocks/:username\"\n        },\n        unfollow: {\n            method: \"DELETE\",\n            params: { username: { required: true, type: \"string\" } },\n            url: \"/user/following/:username\"\n        },\n        updateAuthenticated: {\n            method: \"PATCH\",\n            params: {\n                bio: { type: \"string\" },\n                blog: { type: \"string\" },\n                company: { type: \"string\" },\n                email: { type: \"string\" },\n                hireable: { type: \"boolean\" },\n                location: { type: \"string\" },\n                name: { type: \"string\" }\n            },\n            url: \"/user\"\n        }\n    }\n};\n","export const VERSION = \"2.4.0\";\n","import { Deprecation } from \"deprecation\";\nexport function registerEndpoints(octokit, routes) {\n    Object.keys(routes).forEach(namespaceName => {\n        if (!octokit[namespaceName]) {\n            octokit[namespaceName] = {};\n        }\n        Object.keys(routes[namespaceName]).forEach(apiName => {\n            const apiOptions = routes[namespaceName][apiName];\n            const endpointDefaults = [\"method\", \"url\", \"headers\"].reduce((map, key) => {\n                if (typeof apiOptions[key] !== \"undefined\") {\n                    map[key] = apiOptions[key];\n                }\n                return map;\n            }, {});\n            endpointDefaults.request = {\n                validate: apiOptions.params\n            };\n            let request = octokit.request.defaults(endpointDefaults);\n            // patch request & endpoint methods to support deprecated parameters.\n            // Not the most elegant solution, but we don’t want to move deprecation\n            // logic into octokit/endpoint.js as it’s out of scope\n            const hasDeprecatedParam = Object.keys(apiOptions.params || {}).find(key => apiOptions.params[key].deprecated);\n            if (hasDeprecatedParam) {\n                const patch = patchForDeprecation.bind(null, octokit, apiOptions);\n                request = patch(octokit.request.defaults(endpointDefaults), `.${namespaceName}.${apiName}()`);\n                request.endpoint = patch(request.endpoint, `.${namespaceName}.${apiName}.endpoint()`);\n                request.endpoint.merge = patch(request.endpoint.merge, `.${namespaceName}.${apiName}.endpoint.merge()`);\n            }\n            if (apiOptions.deprecated) {\n                octokit[namespaceName][apiName] = Object.assign(function deprecatedEndpointMethod() {\n                    octokit.log.warn(new Deprecation(`[@octokit/rest] ${apiOptions.deprecated}`));\n                    octokit[namespaceName][apiName] = request;\n                    return request.apply(null, arguments);\n                }, request);\n                return;\n            }\n            octokit[namespaceName][apiName] = request;\n        });\n    });\n}\nfunction patchForDeprecation(octokit, apiOptions, method, methodName) {\n    const patchedMethod = (options) => {\n        options = Object.assign({}, options);\n        Object.keys(options).forEach(key => {\n            if (apiOptions.params[key] && apiOptions.params[key].deprecated) {\n                const aliasKey = apiOptions.params[key].alias;\n                octokit.log.warn(new Deprecation(`[@octokit/rest] \"${key}\" parameter is deprecated for \"${methodName}\". Use \"${aliasKey}\" instead`));\n                if (!(aliasKey in options)) {\n                    options[aliasKey] = options[key];\n                }\n                delete options[key];\n            }\n        });\n        return method(options);\n    };\n    Object.keys(method).forEach(key => {\n        patchedMethod[key] = method[key];\n    });\n    return patchedMethod;\n}\n","import { Deprecation } from \"deprecation\";\nimport endpointsByScope from \"./generated/endpoints\";\nimport { VERSION } from \"./version\";\nimport { registerEndpoints } from \"./register-endpoints\";\n/**\n * This plugin is a 1:1 copy of internal @octokit/rest plugins. The primary\n * goal is to rebuild @octokit/rest on top of @octokit/core. Once that is\n * done, we will remove the registerEndpoints methods and return the methods\n * directly as with the other plugins. At that point we will also remove the\n * legacy workarounds and deprecations.\n *\n * See the plan at\n * https://github.com/octokit/plugin-rest-endpoint-methods.js/pull/1\n */\nexport function restEndpointMethods(octokit) {\n    // @ts-ignore\n    octokit.registerEndpoints = registerEndpoints.bind(null, octokit);\n    registerEndpoints(octokit, endpointsByScope);\n    // Aliasing scopes for backward compatibility\n    // See https://github.com/octokit/rest.js/pull/1134\n    [\n        [\"gitdata\", \"git\"],\n        [\"authorization\", \"oauthAuthorizations\"],\n        [\"pullRequests\", \"pulls\"]\n    ].forEach(([deprecatedScope, scope]) => {\n        Object.defineProperty(octokit, deprecatedScope, {\n            get() {\n                octokit.log.warn(\n                // @ts-ignore\n                new Deprecation(`[@octokit/plugin-rest-endpoint-methods] \"octokit.${deprecatedScope}.*\" methods are deprecated, use \"octokit.${scope}.*\" instead`));\n                // @ts-ignore\n                return octokit[scope];\n            }\n        });\n    });\n    return {};\n}\nrestEndpointMethods.VERSION = 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\ No newline at end of file
+{"version":3,"file":"index.js","sources":["../dist-src/generated/endpoints.js","../dist-src/version.js","../dist-src/endpoints-to-methods.js","../dist-src/index.js"],"sourcesContent":["const Endpoints = {\n    actions: {\n        addSelectedRepoToOrgSecret: [\n            \"PUT /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}\",\n        ],\n        cancelWorkflowRun: [\n            \"POST /repos/{owner}/{repo}/actions/runs/{run_id}/cancel\",\n        ],\n        createOrUpdateOrgSecret: [\"PUT /orgs/{org}/actions/secrets/{secret_name}\"],\n        createOrUpdateRepoSecret: [\n            \"PUT /repos/{owner}/{repo}/actions/secrets/{secret_name}\",\n        ],\n        createRegistrationTokenForOrg: [\n            \"POST /orgs/{org}/actions/runners/registration-token\",\n        ],\n        createRegistrationTokenForRepo: [\n            \"POST /repos/{owner}/{repo}/actions/runners/registration-token\",\n        ],\n        createRemoveTokenForOrg: [\"POST /orgs/{org}/actions/runners/remove-token\"],\n        createRemoveTokenForRepo: [\n            \"POST /repos/{owner}/{repo}/actions/runners/remove-token\",\n        ],\n        createWorkflowDispatch: [\n            \"POST /repos/{owner}/{repo}/actions/workflows/{workflow_id}/dispatches\",\n        ],\n        deleteArtifact: [\n            \"DELETE /repos/{owner}/{repo}/actions/artifacts/{artifact_id}\",\n        ],\n        deleteOrgSecret: [\"DELETE /orgs/{org}/actions/secrets/{secret_name}\"],\n        deleteRepoSecret: [\n            \"DELETE /repos/{owner}/{repo}/actions/secrets/{secret_name}\",\n        ],\n        deleteSelfHostedRunnerFromOrg: [\n            \"DELETE /orgs/{org}/actions/runners/{runner_id}\",\n        ],\n        deleteSelfHostedRunnerFromRepo: [\n            \"DELETE /repos/{owner}/{repo}/actions/runners/{runner_id}\",\n        ],\n        deleteWorkflowRun: [\"DELETE /repos/{owner}/{repo}/actions/runs/{run_id}\"],\n        deleteWorkflowRunLogs: [\n            \"DELETE /repos/{owner}/{repo}/actions/runs/{run_id}/logs\",\n        ],\n        downloadArtifact: [\n            \"GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}/{archive_format}\",\n        ],\n        downloadJobLogsForWorkflowRun: [\n            \"GET /repos/{owner}/{repo}/actions/jobs/{job_id}/logs\",\n        ],\n        downloadWorkflowRunLogs: [\n            \"GET /repos/{owner}/{repo}/actions/runs/{run_id}/logs\",\n        ],\n        getArtifact: [\"GET /repos/{owner}/{repo}/actions/artifacts/{artifact_id}\"],\n        getJobForWorkflowRun: [\"GET /repos/{owner}/{repo}/actions/jobs/{job_id}\"],\n        getOrgPublicKey: [\"GET /orgs/{org}/actions/secrets/public-key\"],\n        getOrgSecret: [\"GET /orgs/{org}/actions/secrets/{secret_name}\"],\n        getRepoPublicKey: [\"GET /repos/{owner}/{repo}/actions/secrets/public-key\"],\n        getRepoSecret: [\"GET /repos/{owner}/{repo}/actions/secrets/{secret_name}\"],\n        getSelfHostedRunnerForOrg: [\"GET /orgs/{org}/actions/runners/{runner_id}\"],\n        getSelfHostedRunnerForRepo: [\n            \"GET /repos/{owner}/{repo}/actions/runners/{runner_id}\",\n        ],\n        getWorkflow: [\"GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}\"],\n        getWorkflowRun: [\"GET /repos/{owner}/{repo}/actions/runs/{run_id}\"],\n        getWorkflowRunUsage: [\n            \"GET /repos/{owner}/{repo}/actions/runs/{run_id}/timing\",\n        ],\n        getWorkflowUsage: [\n            \"GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/timing\",\n        ],\n        listArtifactsForRepo: [\"GET /repos/{owner}/{repo}/actions/artifacts\"],\n        listJobsForWorkflowRun: [\n            \"GET /repos/{owner}/{repo}/actions/runs/{run_id}/jobs\",\n        ],\n        listOrgSecrets: [\"GET /orgs/{org}/actions/secrets\"],\n        listRepoSecrets: [\"GET /repos/{owner}/{repo}/actions/secrets\"],\n        listRepoWorkflows: [\"GET /repos/{owner}/{repo}/actions/workflows\"],\n        listRunnerApplicationsForOrg: [\"GET /orgs/{org}/actions/runners/downloads\"],\n        listRunnerApplicationsForRepo: [\n            \"GET /repos/{owner}/{repo}/actions/runners/downloads\",\n        ],\n        listSelectedReposForOrgSecret: [\n            \"GET /orgs/{org}/actions/secrets/{secret_name}/repositories\",\n        ],\n        listSelfHostedRunnersForOrg: [\"GET /orgs/{org}/actions/runners\"],\n        listSelfHostedRunnersForRepo: [\"GET /repos/{owner}/{repo}/actions/runners\"],\n        listWorkflowRunArtifacts: [\n            \"GET /repos/{owner}/{repo}/actions/runs/{run_id}/artifacts\",\n        ],\n        listWorkflowRuns: [\n            \"GET /repos/{owner}/{repo}/actions/workflows/{workflow_id}/runs\",\n        ],\n        listWorkflowRunsForRepo: [\"GET /repos/{owner}/{repo}/actions/runs\"],\n        reRunWorkflow: [\"POST /repos/{owner}/{repo}/actions/runs/{run_id}/rerun\"],\n        removeSelectedRepoFromOrgSecret: [\n            \"DELETE /orgs/{org}/actions/secrets/{secret_name}/repositories/{repository_id}\",\n        ],\n        setSelectedReposForOrgSecret: [\n            \"PUT /orgs/{org}/actions/secrets/{secret_name}/repositories\",\n        ],\n    },\n    activity: {\n        checkRepoIsStarredByAuthenticatedUser: [\"GET /user/starred/{owner}/{repo}\"],\n        deleteRepoSubscription: [\"DELETE /repos/{owner}/{repo}/subscription\"],\n        deleteThreadSubscription: [\n            \"DELETE /notifications/threads/{thread_id}/subscription\",\n        ],\n        getFeeds: [\"GET /feeds\"],\n        getRepoSubscription: [\"GET /repos/{owner}/{repo}/subscription\"],\n        getThread: [\"GET /notifications/threads/{thread_id}\"],\n        getThreadSubscriptionForAuthenticatedUser: [\n            \"GET /notifications/threads/{thread_id}/subscription\",\n        ],\n        listEventsForAuthenticatedUser: [\"GET /users/{username}/events\"],\n        listNotificationsForAuthenticatedUser: [\"GET /notifications\"],\n        listOrgEventsForAuthenticatedUser: [\n            \"GET /users/{username}/events/orgs/{org}\",\n        ],\n        listPublicEvents: [\"GET /events\"],\n        listPublicEventsForRepoNetwork: [\"GET /networks/{owner}/{repo}/events\"],\n        listPublicEventsForUser: [\"GET /users/{username}/events/public\"],\n        listPublicOrgEvents: [\"GET /orgs/{org}/events\"],\n        listReceivedEventsForUser: [\"GET /users/{username}/received_events\"],\n        listReceivedPublicEventsForUser: [\n            \"GET /users/{username}/received_events/public\",\n        ],\n        listRepoEvents: [\"GET /repos/{owner}/{repo}/events\"],\n        listRepoNotificationsForAuthenticatedUser: [\n            \"GET /repos/{owner}/{repo}/notifications\",\n        ],\n        listReposStarredByAuthenticatedUser: [\"GET /user/starred\"],\n        listReposStarredByUser: [\"GET /users/{username}/starred\"],\n        listReposWatchedByUser: [\"GET /users/{username}/subscriptions\"],\n        listStargazersForRepo: [\"GET /repos/{owner}/{repo}/stargazers\"],\n        listWatchedReposForAuthenticatedUser: [\"GET /user/subscriptions\"],\n        listWatchersForRepo: [\"GET /repos/{owner}/{repo}/subscribers\"],\n        markNotificationsAsRead: [\"PUT /notifications\"],\n        markRepoNotificationsAsRead: [\"PUT /repos/{owner}/{repo}/notifications\"],\n        markThreadAsRead: [\"PATCH /notifications/threads/{thread_id}\"],\n        setRepoSubscription: [\"PUT /repos/{owner}/{repo}/subscription\"],\n        setThreadSubscription: [\n            \"PUT /notifications/threads/{thread_id}/subscription\",\n        ],\n        starRepoForAuthenticatedUser: [\"PUT /user/starred/{owner}/{repo}\"],\n        unstarRepoForAuthenticatedUser: [\"DELETE /user/starred/{owner}/{repo}\"],\n    },\n    apps: {\n        addRepoToInstallation: [\n            \"PUT /user/installations/{installation_id}/repositories/{repository_id}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        checkToken: [\"POST /applications/{client_id}/token\"],\n        createContentAttachment: [\n            \"POST /content_references/{content_reference_id}/attachments\",\n            { mediaType: { previews: [\"corsair\"] } },\n        ],\n        createFromManifest: [\"POST /app-manifests/{code}/conversions\"],\n        createInstallationAccessToken: [\n            \"POST /app/installations/{installation_id}/access_tokens\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        deleteAuthorization: [\"DELETE /applications/{client_id}/grant\"],\n        deleteInstallation: [\n            \"DELETE /app/installations/{installation_id}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        deleteToken: [\"DELETE /applications/{client_id}/token\"],\n        getAuthenticated: [\n            \"GET /app\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getBySlug: [\n            \"GET /apps/{app_slug}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getInstallation: [\n            \"GET /app/installations/{installation_id}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getOrgInstallation: [\n            \"GET /orgs/{org}/installation\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getRepoInstallation: [\n            \"GET /repos/{owner}/{repo}/installation\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        getSubscriptionPlanForAccount: [\n            \"GET /marketplace_listing/accounts/{account_id}\",\n        ],\n        getSubscriptionPlanForAccountStubbed: [\n            \"GET /marketplace_listing/stubbed/accounts/{account_id}\",\n        ],\n        getUserInstallation: [\n            \"GET /users/{username}/installation\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listAccountsForPlan: [\"GET /marketplace_listing/plans/{plan_id}/accounts\"],\n        listAccountsForPlanStubbed: [\n            \"GET /marketplace_listing/stubbed/plans/{plan_id}/accounts\",\n        ],\n        listInstallationReposForAuthenticatedUser: [\n            \"GET /user/installations/{installation_id}/repositories\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listInstallations: [\n            \"GET /app/installations\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listInstallationsForAuthenticatedUser: [\n            \"GET /user/installations\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listPlans: [\"GET /marketplace_listing/plans\"],\n        listPlansStubbed: [\"GET /marketplace_listing/stubbed/plans\"],\n        listReposAccessibleToInstallation: [\n            \"GET /installation/repositories\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listSubscriptionsForAuthenticatedUser: [\"GET /user/marketplace_purchases\"],\n        listSubscriptionsForAuthenticatedUserStubbed: [\n            \"GET /user/marketplace_purchases/stubbed\",\n        ],\n        removeRepoFromInstallation: [\n            \"DELETE /user/installations/{installation_id}/repositories/{repository_id}\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        resetToken: [\"PATCH /applications/{client_id}/token\"],\n        revokeInstallationAccessToken: [\"DELETE /installation/token\"],\n        suspendInstallation: [\"PUT /app/installations/{installation_id}/suspended\"],\n        unsuspendInstallation: [\n            \"DELETE /app/installations/{installation_id}/suspended\",\n        ],\n    },\n    billing: {\n        getGithubActionsBillingOrg: [\"GET /orgs/{org}/settings/billing/actions\"],\n        getGithubActionsBillingUser: [\n            \"GET /users/{username}/settings/billing/actions\",\n        ],\n        getGithubPackagesBillingOrg: [\"GET /orgs/{org}/settings/billing/packages\"],\n        getGithubPackagesBillingUser: [\n            \"GET /users/{username}/settings/billing/packages\",\n        ],\n        getSharedStorageBillingOrg: [\n            \"GET /orgs/{org}/settings/billing/shared-storage\",\n        ],\n        getSharedStorageBillingUser: [\n            \"GET /users/{username}/settings/billing/shared-storage\",\n        ],\n    },\n    checks: {\n        create: [\n            \"POST /repos/{owner}/{repo}/check-runs\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        createSuite: [\n            \"POST /repos/{owner}/{repo}/check-suites\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        get: [\n            \"GET /repos/{owner}/{repo}/check-runs/{check_run_id}\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        getSuite: [\n            \"GET /repos/{owner}/{repo}/check-suites/{check_suite_id}\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        listAnnotations: [\n            \"GET /repos/{owner}/{repo}/check-runs/{check_run_id}/annotations\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        listForRef: [\n            \"GET /repos/{owner}/{repo}/commits/{ref}/check-runs\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        listForSuite: [\n            \"GET /repos/{owner}/{repo}/check-suites/{check_suite_id}/check-runs\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        listSuitesForRef: [\n            \"GET /repos/{owner}/{repo}/commits/{ref}/check-suites\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        rerequestSuite: [\n            \"POST /repos/{owner}/{repo}/check-suites/{check_suite_id}/rerequest\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        setSuitesPreferences: [\n            \"PATCH /repos/{owner}/{repo}/check-suites/preferences\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n        update: [\n            \"PATCH /repos/{owner}/{repo}/check-runs/{check_run_id}\",\n            { mediaType: { previews: [\"antiope\"] } },\n        ],\n    },\n    codeScanning: {\n        getAlert: [\"GET /repos/{owner}/{repo}/code-scanning/alerts/{alert_id}\"],\n        listAlertsForRepo: [\"GET /repos/{owner}/{repo}/code-scanning/alerts\"],\n    },\n    codesOfConduct: {\n        getAllCodesOfConduct: [\n            \"GET /codes_of_conduct\",\n            { mediaType: { previews: [\"scarlet-witch\"] } },\n        ],\n        getConductCode: [\n            \"GET /codes_of_conduct/{key}\",\n            { mediaType: { previews: [\"scarlet-witch\"] } },\n        ],\n        getForRepo: [\n            \"GET /repos/{owner}/{repo}/community/code_of_conduct\",\n            { mediaType: { previews: [\"scarlet-witch\"] } },\n        ],\n    },\n    emojis: { get: [\"GET /emojis\"] },\n    gists: {\n        checkIsStarred: [\"GET /gists/{gist_id}/star\"],\n        create: [\"POST /gists\"],\n        createComment: [\"POST /gists/{gist_id}/comments\"],\n        delete: [\"DELETE /gists/{gist_id}\"],\n        deleteComment: [\"DELETE /gists/{gist_id}/comments/{comment_id}\"],\n        fork: [\"POST /gists/{gist_id}/forks\"],\n        get: [\"GET /gists/{gist_id}\"],\n        getComment: [\"GET /gists/{gist_id}/comments/{comment_id}\"],\n        getRevision: [\"GET /gists/{gist_id}/{sha}\"],\n        list: [\"GET /gists\"],\n        listComments: [\"GET /gists/{gist_id}/comments\"],\n        listCommits: [\"GET /gists/{gist_id}/commits\"],\n        listForUser: [\"GET /users/{username}/gists\"],\n        listForks: [\"GET /gists/{gist_id}/forks\"],\n        listPublic: [\"GET /gists/public\"],\n        listStarred: [\"GET /gists/starred\"],\n        star: [\"PUT /gists/{gist_id}/star\"],\n        unstar: [\"DELETE /gists/{gist_id}/star\"],\n        update: [\"PATCH /gists/{gist_id}\"],\n        updateComment: [\"PATCH /gists/{gist_id}/comments/{comment_id}\"],\n    },\n    git: {\n        createBlob: [\"POST /repos/{owner}/{repo}/git/blobs\"],\n        createCommit: [\"POST /repos/{owner}/{repo}/git/commits\"],\n        createRef: [\"POST /repos/{owner}/{repo}/git/refs\"],\n        createTag: [\"POST /repos/{owner}/{repo}/git/tags\"],\n        createTree: [\"POST /repos/{owner}/{repo}/git/trees\"],\n        deleteRef: [\"DELETE /repos/{owner}/{repo}/git/refs/{ref}\"],\n        getBlob: [\"GET /repos/{owner}/{repo}/git/blobs/{file_sha}\"],\n        getCommit: [\"GET /repos/{owner}/{repo}/git/commits/{commit_sha}\"],\n        getRef: [\"GET /repos/{owner}/{repo}/git/ref/{ref}\"],\n        getTag: [\"GET /repos/{owner}/{repo}/git/tags/{tag_sha}\"],\n        getTree: [\"GET /repos/{owner}/{repo}/git/trees/{tree_sha}\"],\n        listMatchingRefs: [\"GET /repos/{owner}/{repo}/git/matching-refs/{ref}\"],\n        updateRef: [\"PATCH /repos/{owner}/{repo}/git/refs/{ref}\"],\n    },\n    gitignore: {\n        getAllTemplates: [\"GET /gitignore/templates\"],\n        getTemplate: [\"GET /gitignore/templates/{name}\"],\n    },\n    interactions: {\n        getRestrictionsForOrg: [\n            \"GET /orgs/{org}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        getRestrictionsForRepo: [\n            \"GET /repos/{owner}/{repo}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        removeRestrictionsForOrg: [\n            \"DELETE /orgs/{org}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        removeRestrictionsForRepo: [\n            \"DELETE /repos/{owner}/{repo}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        setRestrictionsForOrg: [\n            \"PUT /orgs/{org}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n        setRestrictionsForRepo: [\n            \"PUT /repos/{owner}/{repo}/interaction-limits\",\n            { mediaType: { previews: [\"sombra\"] } },\n        ],\n    },\n    issues: {\n        addAssignees: [\n            \"POST /repos/{owner}/{repo}/issues/{issue_number}/assignees\",\n        ],\n        addLabels: [\"POST /repos/{owner}/{repo}/issues/{issue_number}/labels\"],\n        checkUserCanBeAssigned: [\"GET /repos/{owner}/{repo}/assignees/{assignee}\"],\n        create: [\"POST /repos/{owner}/{repo}/issues\"],\n        createComment: [\n            \"POST /repos/{owner}/{repo}/issues/{issue_number}/comments\",\n        ],\n        createLabel: [\"POST /repos/{owner}/{repo}/labels\"],\n        createMilestone: [\"POST /repos/{owner}/{repo}/milestones\"],\n        deleteComment: [\n            \"DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}\",\n        ],\n        deleteLabel: [\"DELETE /repos/{owner}/{repo}/labels/{name}\"],\n        deleteMilestone: [\n            \"DELETE /repos/{owner}/{repo}/milestones/{milestone_number}\",\n        ],\n        get: [\"GET /repos/{owner}/{repo}/issues/{issue_number}\"],\n        getComment: [\"GET /repos/{owner}/{repo}/issues/comments/{comment_id}\"],\n        getEvent: [\"GET /repos/{owner}/{repo}/issues/events/{event_id}\"],\n        getLabel: [\"GET /repos/{owner}/{repo}/labels/{name}\"],\n        getMilestone: [\"GET /repos/{owner}/{repo}/milestones/{milestone_number}\"],\n        list: [\"GET /issues\"],\n        listAssignees: [\"GET /repos/{owner}/{repo}/assignees\"],\n        listComments: [\"GET /repos/{owner}/{repo}/issues/{issue_number}/comments\"],\n        listCommentsForRepo: [\"GET /repos/{owner}/{repo}/issues/comments\"],\n        listEvents: [\"GET /repos/{owner}/{repo}/issues/{issue_number}/events\"],\n        listEventsForRepo: [\"GET /repos/{owner}/{repo}/issues/events\"],\n        listEventsForTimeline: [\n            \"GET /repos/{owner}/{repo}/issues/{issue_number}/timeline\",\n            { mediaType: { previews: [\"mockingbird\"] } },\n        ],\n        listForAuthenticatedUser: [\"GET /user/issues\"],\n        listForOrg: [\"GET /orgs/{org}/issues\"],\n        listForRepo: [\"GET /repos/{owner}/{repo}/issues\"],\n        listLabelsForMilestone: [\n            \"GET /repos/{owner}/{repo}/milestones/{milestone_number}/labels\",\n        ],\n        listLabelsForRepo: [\"GET /repos/{owner}/{repo}/labels\"],\n        listLabelsOnIssue: [\n            \"GET /repos/{owner}/{repo}/issues/{issue_number}/labels\",\n        ],\n        listMilestones: [\"GET /repos/{owner}/{repo}/milestones\"],\n        lock: [\"PUT /repos/{owner}/{repo}/issues/{issue_number}/lock\"],\n        removeAllLabels: [\n            \"DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels\",\n        ],\n        removeAssignees: [\n            \"DELETE /repos/{owner}/{repo}/issues/{issue_number}/assignees\",\n        ],\n        removeLabel: [\n            \"DELETE /repos/{owner}/{repo}/issues/{issue_number}/labels/{name}\",\n        ],\n        setLabels: [\"PUT /repos/{owner}/{repo}/issues/{issue_number}/labels\"],\n        unlock: [\"DELETE /repos/{owner}/{repo}/issues/{issue_number}/lock\"],\n        update: [\"PATCH /repos/{owner}/{repo}/issues/{issue_number}\"],\n        updateComment: [\"PATCH /repos/{owner}/{repo}/issues/comments/{comment_id}\"],\n        updateLabel: [\"PATCH /repos/{owner}/{repo}/labels/{name}\"],\n        updateMilestone: [\n            \"PATCH /repos/{owner}/{repo}/milestones/{milestone_number}\",\n        ],\n    },\n    licenses: {\n        get: [\"GET /licenses/{license}\"],\n        getAllCommonlyUsed: [\"GET /licenses\"],\n        getForRepo: [\"GET /repos/{owner}/{repo}/license\"],\n    },\n    markdown: {\n        render: [\"POST /markdown\"],\n        renderRaw: [\n            \"POST /markdown/raw\",\n            { headers: { \"content-type\": \"text/plain; charset=utf-8\" } },\n        ],\n    },\n    meta: { get: [\"GET /meta\"] },\n    migrations: {\n        cancelImport: [\"DELETE /repos/{owner}/{repo}/import\"],\n        deleteArchiveForAuthenticatedUser: [\n            \"DELETE /user/migrations/{migration_id}/archive\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        deleteArchiveForOrg: [\n            \"DELETE /orgs/{org}/migrations/{migration_id}/archive\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        downloadArchiveForOrg: [\n            \"GET /orgs/{org}/migrations/{migration_id}/archive\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        getArchiveForAuthenticatedUser: [\n            \"GET /user/migrations/{migration_id}/archive\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        getCommitAuthors: [\"GET /repos/{owner}/{repo}/import/authors\"],\n        getImportStatus: [\"GET /repos/{owner}/{repo}/import\"],\n        getLargeFiles: [\"GET /repos/{owner}/{repo}/import/large_files\"],\n        getStatusForAuthenticatedUser: [\n            \"GET /user/migrations/{migration_id}\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        getStatusForOrg: [\n            \"GET /orgs/{org}/migrations/{migration_id}\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        listForAuthenticatedUser: [\n            \"GET /user/migrations\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        listForOrg: [\n            \"GET /orgs/{org}/migrations\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        listReposForOrg: [\n            \"GET /orgs/{org}/migrations/{migration_id}/repositories\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        listReposForUser: [\n            \"GET /user/migrations/{migration_id}/repositories\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        mapCommitAuthor: [\"PATCH /repos/{owner}/{repo}/import/authors/{author_id}\"],\n        setLfsPreference: [\"PATCH /repos/{owner}/{repo}/import/lfs\"],\n        startForAuthenticatedUser: [\"POST /user/migrations\"],\n        startForOrg: [\"POST /orgs/{org}/migrations\"],\n        startImport: [\"PUT /repos/{owner}/{repo}/import\"],\n        unlockRepoForAuthenticatedUser: [\n            \"DELETE /user/migrations/{migration_id}/repos/{repo_name}/lock\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        unlockRepoForOrg: [\n            \"DELETE /orgs/{org}/migrations/{migration_id}/repos/{repo_name}/lock\",\n            { mediaType: { previews: [\"wyandotte\"] } },\n        ],\n        updateImport: [\"PATCH /repos/{owner}/{repo}/import\"],\n    },\n    orgs: {\n        blockUser: [\"PUT /orgs/{org}/blocks/{username}\"],\n        checkBlockedUser: [\"GET /orgs/{org}/blocks/{username}\"],\n        checkMembershipForUser: [\"GET /orgs/{org}/members/{username}\"],\n        checkPublicMembershipForUser: [\"GET /orgs/{org}/public_members/{username}\"],\n        convertMemberToOutsideCollaborator: [\n            \"PUT /orgs/{org}/outside_collaborators/{username}\",\n        ],\n        createInvitation: [\"POST /orgs/{org}/invitations\"],\n        createWebhook: [\"POST /orgs/{org}/hooks\"],\n        deleteWebhook: [\"DELETE /orgs/{org}/hooks/{hook_id}\"],\n        get: [\"GET /orgs/{org}\"],\n        getMembershipForAuthenticatedUser: [\"GET /user/memberships/orgs/{org}\"],\n        getMembershipForUser: [\"GET /orgs/{org}/memberships/{username}\"],\n        getWebhook: [\"GET /orgs/{org}/hooks/{hook_id}\"],\n        list: [\"GET /organizations\"],\n        listAppInstallations: [\n            \"GET /orgs/{org}/installations\",\n            { mediaType: { previews: [\"machine-man\"] } },\n        ],\n        listBlockedUsers: [\"GET /orgs/{org}/blocks\"],\n        listForAuthenticatedUser: [\"GET /user/orgs\"],\n        listForUser: [\"GET /users/{username}/orgs\"],\n        listInvitationTeams: [\"GET /orgs/{org}/invitations/{invitation_id}/teams\"],\n        listMembers: [\"GET /orgs/{org}/members\"],\n        listMembershipsForAuthenticatedUser: [\"GET /user/memberships/orgs\"],\n        listOutsideCollaborators: [\"GET /orgs/{org}/outside_collaborators\"],\n        listPendingInvitations: [\"GET /orgs/{org}/invitations\"],\n        listPublicMembers: [\"GET /orgs/{org}/public_members\"],\n        listWebhooks: [\"GET /orgs/{org}/hooks\"],\n        pingWebhook: [\"POST /orgs/{org}/hooks/{hook_id}/pings\"],\n        removeMember: [\"DELETE /orgs/{org}/members/{username}\"],\n        removeMembershipForUser: [\"DELETE /orgs/{org}/memberships/{username}\"],\n        removeOutsideCollaborator: [\n            \"DELETE /orgs/{org}/outside_collaborators/{username}\",\n        ],\n        removePublicMembershipForAuthenticatedUser: [\n            \"DELETE /orgs/{org}/public_members/{username}\",\n        ],\n        setMembershipForUser: [\"PUT /orgs/{org}/memberships/{username}\"],\n        setPublicMembershipForAuthenticatedUser: [\n            \"PUT /orgs/{org}/public_members/{username}\",\n        ],\n        unblockUser: [\"DELETE /orgs/{org}/blocks/{username}\"],\n        update: [\"PATCH /orgs/{org}\"],\n        updateMembershipForAuthenticatedUser: [\n            \"PATCH /user/memberships/orgs/{org}\",\n        ],\n        updateWebhook: [\"PATCH /orgs/{org}/hooks/{hook_id}\"],\n    },\n    projects: {\n        addCollaborator: [\n            \"PUT /projects/{project_id}/collaborators/{username}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createCard: [\n            \"POST /projects/columns/{column_id}/cards\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createColumn: [\n            \"POST /projects/{project_id}/columns\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createForAuthenticatedUser: [\n            \"POST /user/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createForOrg: [\n            \"POST /orgs/{org}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        createForRepo: [\n            \"POST /repos/{owner}/{repo}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        delete: [\n            \"DELETE /projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        deleteCard: [\n            \"DELETE /projects/columns/cards/{card_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        deleteColumn: [\n            \"DELETE /projects/columns/{column_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        get: [\n            \"GET /projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        getCard: [\n            \"GET /projects/columns/cards/{card_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        getColumn: [\n            \"GET /projects/columns/{column_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        getPermissionForUser: [\n            \"GET /projects/{project_id}/collaborators/{username}/permission\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listCards: [\n            \"GET /projects/columns/{column_id}/cards\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listCollaborators: [\n            \"GET /projects/{project_id}/collaborators\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listColumns: [\n            \"GET /projects/{project_id}/columns\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listForOrg: [\n            \"GET /orgs/{org}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listForRepo: [\n            \"GET /repos/{owner}/{repo}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listForUser: [\n            \"GET /users/{username}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        moveCard: [\n            \"POST /projects/columns/cards/{card_id}/moves\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        moveColumn: [\n            \"POST /projects/columns/{column_id}/moves\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        removeCollaborator: [\n            \"DELETE /projects/{project_id}/collaborators/{username}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        update: [\n            \"PATCH /projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        updateCard: [\n            \"PATCH /projects/columns/cards/{card_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        updateColumn: [\n            \"PATCH /projects/columns/{column_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n    },\n    pulls: {\n        checkIfMerged: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}/merge\"],\n        create: [\"POST /repos/{owner}/{repo}/pulls\"],\n        createReplyForReviewComment: [\n            \"POST /repos/{owner}/{repo}/pulls/{pull_number}/comments/{comment_id}/replies\",\n        ],\n        createReview: [\"POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews\"],\n        createReviewComment: [\n            \"POST /repos/{owner}/{repo}/pulls/{pull_number}/comments\",\n        ],\n        deletePendingReview: [\n            \"DELETE /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}\",\n        ],\n        deleteReviewComment: [\n            \"DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}\",\n        ],\n        dismissReview: [\n            \"PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/dismissals\",\n        ],\n        get: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}\"],\n        getReview: [\n            \"GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}\",\n        ],\n        getReviewComment: [\"GET /repos/{owner}/{repo}/pulls/comments/{comment_id}\"],\n        list: [\"GET /repos/{owner}/{repo}/pulls\"],\n        listCommentsForReview: [\n            \"GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/comments\",\n        ],\n        listCommits: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}/commits\"],\n        listFiles: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}/files\"],\n        listRequestedReviewers: [\n            \"GET /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers\",\n        ],\n        listReviewComments: [\n            \"GET /repos/{owner}/{repo}/pulls/{pull_number}/comments\",\n        ],\n        listReviewCommentsForRepo: [\"GET /repos/{owner}/{repo}/pulls/comments\"],\n        listReviews: [\"GET /repos/{owner}/{repo}/pulls/{pull_number}/reviews\"],\n        merge: [\"PUT /repos/{owner}/{repo}/pulls/{pull_number}/merge\"],\n        removeRequestedReviewers: [\n            \"DELETE /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers\",\n        ],\n        requestReviewers: [\n            \"POST /repos/{owner}/{repo}/pulls/{pull_number}/requested_reviewers\",\n        ],\n        submitReview: [\n            \"POST /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}/events\",\n        ],\n        update: [\"PATCH /repos/{owner}/{repo}/pulls/{pull_number}\"],\n        updateBranch: [\n            \"PUT /repos/{owner}/{repo}/pulls/{pull_number}/update-branch\",\n            { mediaType: { previews: [\"lydian\"] } },\n        ],\n        updateReview: [\n            \"PUT /repos/{owner}/{repo}/pulls/{pull_number}/reviews/{review_id}\",\n        ],\n        updateReviewComment: [\n            \"PATCH /repos/{owner}/{repo}/pulls/comments/{comment_id}\",\n        ],\n    },\n    rateLimit: { get: [\"GET /rate_limit\"] },\n    reactions: {\n        createForCommitComment: [\n            \"POST /repos/{owner}/{repo}/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForIssue: [\n            \"POST /repos/{owner}/{repo}/issues/{issue_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForIssueComment: [\n            \"POST /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForPullRequestReviewComment: [\n            \"POST /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForTeamDiscussionCommentInOrg: [\n            \"POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        createForTeamDiscussionInOrg: [\n            \"POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForCommitComment: [\n            \"DELETE /repos/{owner}/{repo}/comments/{comment_id}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForIssue: [\n            \"DELETE /repos/{owner}/{repo}/issues/{issue_number}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForIssueComment: [\n            \"DELETE /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForPullRequestComment: [\n            \"DELETE /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForTeamDiscussion: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteForTeamDiscussionComment: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        deleteLegacy: [\n            \"DELETE /reactions/{reaction_id}\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n            {\n                deprecated: \"octokit.reactions.deleteLegacy() is deprecated, see https://developer.github.com/v3/reactions/#delete-a-reaction-legacy\",\n            },\n        ],\n        listForCommitComment: [\n            \"GET /repos/{owner}/{repo}/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForIssue: [\n            \"GET /repos/{owner}/{repo}/issues/{issue_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForIssueComment: [\n            \"GET /repos/{owner}/{repo}/issues/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForPullRequestReviewComment: [\n            \"GET /repos/{owner}/{repo}/pulls/comments/{comment_id}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForTeamDiscussionCommentInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n        listForTeamDiscussionInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/reactions\",\n            { mediaType: { previews: [\"squirrel-girl\"] } },\n        ],\n    },\n    repos: {\n        acceptInvitation: [\"PATCH /user/repository_invitations/{invitation_id}\"],\n        addAppAccessRestrictions: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps\",\n            {},\n            { mapToData: \"apps\" },\n        ],\n        addCollaborator: [\"PUT /repos/{owner}/{repo}/collaborators/{username}\"],\n        addStatusCheckContexts: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts\",\n            {},\n            { mapToData: \"contexts\" },\n        ],\n        addTeamAccessRestrictions: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams\",\n            {},\n            { mapToData: \"teams\" },\n        ],\n        addUserAccessRestrictions: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users\",\n            {},\n            { mapToData: \"users\" },\n        ],\n        checkCollaborator: [\"GET /repos/{owner}/{repo}/collaborators/{username}\"],\n        checkVulnerabilityAlerts: [\n            \"GET /repos/{owner}/{repo}/vulnerability-alerts\",\n            { mediaType: { previews: [\"dorian\"] } },\n        ],\n        compareCommits: [\"GET /repos/{owner}/{repo}/compare/{base}...{head}\"],\n        createCommitComment: [\n            \"POST /repos/{owner}/{repo}/commits/{commit_sha}/comments\",\n        ],\n        createCommitSignatureProtection: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures\",\n            { mediaType: { previews: [\"zzzax\"] } },\n        ],\n        createCommitStatus: [\"POST /repos/{owner}/{repo}/statuses/{sha}\"],\n        createDeployKey: [\"POST /repos/{owner}/{repo}/keys\"],\n        createDeployment: [\"POST /repos/{owner}/{repo}/deployments\"],\n        createDeploymentStatus: [\n            \"POST /repos/{owner}/{repo}/deployments/{deployment_id}/statuses\",\n        ],\n        createDispatchEvent: [\"POST /repos/{owner}/{repo}/dispatches\"],\n        createForAuthenticatedUser: [\"POST /user/repos\"],\n        createFork: [\"POST /repos/{owner}/{repo}/forks\"],\n        createInOrg: [\"POST /orgs/{org}/repos\"],\n        createOrUpdateFileContents: [\"PUT /repos/{owner}/{repo}/contents/{path}\"],\n        createPagesSite: [\n            \"POST /repos/{owner}/{repo}/pages\",\n            { mediaType: { previews: [\"switcheroo\"] } },\n        ],\n        createRelease: [\"POST /repos/{owner}/{repo}/releases\"],\n        createUsingTemplate: [\n            \"POST /repos/{template_owner}/{template_repo}/generate\",\n            { mediaType: { previews: [\"baptiste\"] } },\n        ],\n        createWebhook: [\"POST /repos/{owner}/{repo}/hooks\"],\n        declineInvitation: [\"DELETE /user/repository_invitations/{invitation_id}\"],\n        delete: [\"DELETE /repos/{owner}/{repo}\"],\n        deleteAccessRestrictions: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions\",\n        ],\n        deleteAdminBranchProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins\",\n        ],\n        deleteBranchProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection\",\n        ],\n        deleteCommitComment: [\"DELETE /repos/{owner}/{repo}/comments/{comment_id}\"],\n        deleteCommitSignatureProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures\",\n            { mediaType: { previews: [\"zzzax\"] } },\n        ],\n        deleteDeployKey: [\"DELETE /repos/{owner}/{repo}/keys/{key_id}\"],\n        deleteDeployment: [\n            \"DELETE /repos/{owner}/{repo}/deployments/{deployment_id}\",\n        ],\n        deleteFile: [\"DELETE /repos/{owner}/{repo}/contents/{path}\"],\n        deleteInvitation: [\n            \"DELETE /repos/{owner}/{repo}/invitations/{invitation_id}\",\n        ],\n        deletePagesSite: [\n            \"DELETE /repos/{owner}/{repo}/pages\",\n            { mediaType: { previews: [\"switcheroo\"] } },\n        ],\n        deletePullRequestReviewProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews\",\n        ],\n        deleteRelease: [\"DELETE /repos/{owner}/{repo}/releases/{release_id}\"],\n        deleteReleaseAsset: [\n            \"DELETE /repos/{owner}/{repo}/releases/assets/{asset_id}\",\n        ],\n        deleteWebhook: [\"DELETE /repos/{owner}/{repo}/hooks/{hook_id}\"],\n        disableAutomatedSecurityFixes: [\n            \"DELETE /repos/{owner}/{repo}/automated-security-fixes\",\n            { mediaType: { previews: [\"london\"] } },\n        ],\n        disableVulnerabilityAlerts: [\n            \"DELETE /repos/{owner}/{repo}/vulnerability-alerts\",\n            { mediaType: { previews: [\"dorian\"] } },\n        ],\n        downloadArchive: [\"GET /repos/{owner}/{repo}/{archive_format}/{ref}\"],\n        enableAutomatedSecurityFixes: [\n            \"PUT /repos/{owner}/{repo}/automated-security-fixes\",\n            { mediaType: { previews: [\"london\"] } },\n        ],\n        enableVulnerabilityAlerts: [\n            \"PUT /repos/{owner}/{repo}/vulnerability-alerts\",\n            { mediaType: { previews: [\"dorian\"] } },\n        ],\n        get: [\"GET /repos/{owner}/{repo}\"],\n        getAccessRestrictions: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions\",\n        ],\n        getAdminBranchProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins\",\n        ],\n        getAllStatusCheckContexts: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts\",\n        ],\n        getAllTopics: [\n            \"GET /repos/{owner}/{repo}/topics\",\n            { mediaType: { previews: [\"mercy\"] } },\n        ],\n        getAppsWithAccessToProtectedBranch: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps\",\n        ],\n        getBranch: [\"GET /repos/{owner}/{repo}/branches/{branch}\"],\n        getBranchProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection\",\n        ],\n        getClones: [\"GET /repos/{owner}/{repo}/traffic/clones\"],\n        getCodeFrequencyStats: [\"GET /repos/{owner}/{repo}/stats/code_frequency\"],\n        getCollaboratorPermissionLevel: [\n            \"GET /repos/{owner}/{repo}/collaborators/{username}/permission\",\n        ],\n        getCombinedStatusForRef: [\"GET /repos/{owner}/{repo}/commits/{ref}/status\"],\n        getCommit: [\"GET /repos/{owner}/{repo}/commits/{ref}\"],\n        getCommitActivityStats: [\"GET /repos/{owner}/{repo}/stats/commit_activity\"],\n        getCommitComment: [\"GET /repos/{owner}/{repo}/comments/{comment_id}\"],\n        getCommitSignatureProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/required_signatures\",\n            { mediaType: { previews: [\"zzzax\"] } },\n        ],\n        getCommunityProfileMetrics: [\n            \"GET /repos/{owner}/{repo}/community/profile\",\n            { mediaType: { previews: [\"black-panther\"] } },\n        ],\n        getContent: [\"GET /repos/{owner}/{repo}/contents/{path}\"],\n        getContributorsStats: [\"GET /repos/{owner}/{repo}/stats/contributors\"],\n        getDeployKey: [\"GET /repos/{owner}/{repo}/keys/{key_id}\"],\n        getDeployment: [\"GET /repos/{owner}/{repo}/deployments/{deployment_id}\"],\n        getDeploymentStatus: [\n            \"GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses/{status_id}\",\n        ],\n        getLatestPagesBuild: [\"GET /repos/{owner}/{repo}/pages/builds/latest\"],\n        getLatestRelease: [\"GET /repos/{owner}/{repo}/releases/latest\"],\n        getPages: [\"GET /repos/{owner}/{repo}/pages\"],\n        getPagesBuild: [\"GET /repos/{owner}/{repo}/pages/builds/{build_id}\"],\n        getParticipationStats: [\"GET /repos/{owner}/{repo}/stats/participation\"],\n        getPullRequestReviewProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews\",\n        ],\n        getPunchCardStats: [\"GET /repos/{owner}/{repo}/stats/punch_card\"],\n        getReadme: [\"GET /repos/{owner}/{repo}/readme\"],\n        getRelease: [\"GET /repos/{owner}/{repo}/releases/{release_id}\"],\n        getReleaseAsset: [\"GET /repos/{owner}/{repo}/releases/assets/{asset_id}\"],\n        getReleaseByTag: [\"GET /repos/{owner}/{repo}/releases/tags/{tag}\"],\n        getStatusChecksProtection: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks\",\n        ],\n        getTeamsWithAccessToProtectedBranch: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams\",\n        ],\n        getTopPaths: [\"GET /repos/{owner}/{repo}/traffic/popular/paths\"],\n        getTopReferrers: [\"GET /repos/{owner}/{repo}/traffic/popular/referrers\"],\n        getUsersWithAccessToProtectedBranch: [\n            \"GET /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users\",\n        ],\n        getViews: [\"GET /repos/{owner}/{repo}/traffic/views\"],\n        getWebhook: [\"GET /repos/{owner}/{repo}/hooks/{hook_id}\"],\n        listBranches: [\"GET /repos/{owner}/{repo}/branches\"],\n        listBranchesForHeadCommit: [\n            \"GET /repos/{owner}/{repo}/commits/{commit_sha}/branches-where-head\",\n            { mediaType: { previews: [\"groot\"] } },\n        ],\n        listCollaborators: [\"GET /repos/{owner}/{repo}/collaborators\"],\n        listCommentsForCommit: [\n            \"GET /repos/{owner}/{repo}/commits/{commit_sha}/comments\",\n        ],\n        listCommitCommentsForRepo: [\"GET /repos/{owner}/{repo}/comments\"],\n        listCommitStatusesForRef: [\n            \"GET /repos/{owner}/{repo}/commits/{ref}/statuses\",\n        ],\n        listCommits: [\"GET /repos/{owner}/{repo}/commits\"],\n        listContributors: [\"GET /repos/{owner}/{repo}/contributors\"],\n        listDeployKeys: [\"GET /repos/{owner}/{repo}/keys\"],\n        listDeploymentStatuses: [\n            \"GET /repos/{owner}/{repo}/deployments/{deployment_id}/statuses\",\n        ],\n        listDeployments: [\"GET /repos/{owner}/{repo}/deployments\"],\n        listForAuthenticatedUser: [\"GET /user/repos\"],\n        listForOrg: [\"GET /orgs/{org}/repos\"],\n        listForUser: [\"GET /users/{username}/repos\"],\n        listForks: [\"GET /repos/{owner}/{repo}/forks\"],\n        listInvitations: [\"GET /repos/{owner}/{repo}/invitations\"],\n        listInvitationsForAuthenticatedUser: [\"GET /user/repository_invitations\"],\n        listLanguages: [\"GET /repos/{owner}/{repo}/languages\"],\n        listPagesBuilds: [\"GET /repos/{owner}/{repo}/pages/builds\"],\n        listPublic: [\"GET /repositories\"],\n        listPullRequestsAssociatedWithCommit: [\n            \"GET /repos/{owner}/{repo}/commits/{commit_sha}/pulls\",\n            { mediaType: { previews: [\"groot\"] } },\n        ],\n        listReleaseAssets: [\n            \"GET /repos/{owner}/{repo}/releases/{release_id}/assets\",\n        ],\n        listReleases: [\"GET /repos/{owner}/{repo}/releases\"],\n        listTags: [\"GET /repos/{owner}/{repo}/tags\"],\n        listTeams: [\"GET /repos/{owner}/{repo}/teams\"],\n        listWebhooks: [\"GET /repos/{owner}/{repo}/hooks\"],\n        merge: [\"POST /repos/{owner}/{repo}/merges\"],\n        pingWebhook: [\"POST /repos/{owner}/{repo}/hooks/{hook_id}/pings\"],\n        removeAppAccessRestrictions: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps\",\n            {},\n            { mapToData: \"apps\" },\n        ],\n        removeCollaborator: [\n            \"DELETE /repos/{owner}/{repo}/collaborators/{username}\",\n        ],\n        removeStatusCheckContexts: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts\",\n            {},\n            { mapToData: \"contexts\" },\n        ],\n        removeStatusCheckProtection: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks\",\n        ],\n        removeTeamAccessRestrictions: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams\",\n            {},\n            { mapToData: \"teams\" },\n        ],\n        removeUserAccessRestrictions: [\n            \"DELETE /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users\",\n            {},\n            { mapToData: \"users\" },\n        ],\n        replaceAllTopics: [\n            \"PUT /repos/{owner}/{repo}/topics\",\n            { mediaType: { previews: [\"mercy\"] } },\n        ],\n        requestPagesBuild: [\"POST /repos/{owner}/{repo}/pages/builds\"],\n        setAdminBranchProtection: [\n            \"POST /repos/{owner}/{repo}/branches/{branch}/protection/enforce_admins\",\n        ],\n        setAppAccessRestrictions: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/apps\",\n            {},\n            { mapToData: \"apps\" },\n        ],\n        setStatusCheckContexts: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks/contexts\",\n            {},\n            { mapToData: \"contexts\" },\n        ],\n        setTeamAccessRestrictions: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/teams\",\n            {},\n            { mapToData: \"teams\" },\n        ],\n        setUserAccessRestrictions: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection/restrictions/users\",\n            {},\n            { mapToData: \"users\" },\n        ],\n        testPushWebhook: [\"POST /repos/{owner}/{repo}/hooks/{hook_id}/tests\"],\n        transfer: [\"POST /repos/{owner}/{repo}/transfer\"],\n        update: [\"PATCH /repos/{owner}/{repo}\"],\n        updateBranchProtection: [\n            \"PUT /repos/{owner}/{repo}/branches/{branch}/protection\",\n        ],\n        updateCommitComment: [\"PATCH /repos/{owner}/{repo}/comments/{comment_id}\"],\n        updateInformationAboutPagesSite: [\"PUT /repos/{owner}/{repo}/pages\"],\n        updateInvitation: [\n            \"PATCH /repos/{owner}/{repo}/invitations/{invitation_id}\",\n        ],\n        updatePullRequestReviewProtection: [\n            \"PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_pull_request_reviews\",\n        ],\n        updateRelease: [\"PATCH /repos/{owner}/{repo}/releases/{release_id}\"],\n        updateReleaseAsset: [\n            \"PATCH /repos/{owner}/{repo}/releases/assets/{asset_id}\",\n        ],\n        updateStatusCheckPotection: [\n            \"PATCH /repos/{owner}/{repo}/branches/{branch}/protection/required_status_checks\",\n        ],\n        updateWebhook: [\"PATCH /repos/{owner}/{repo}/hooks/{hook_id}\"],\n        uploadReleaseAsset: [\n            \"POST /repos/{owner}/{repo}/releases/{release_id}/assets{?name,label}\",\n            { baseUrl: \"https://uploads.github.com\" },\n        ],\n    },\n    search: {\n        code: [\"GET /search/code\"],\n        commits: [\"GET /search/commits\", { mediaType: { previews: [\"cloak\"] } }],\n        issuesAndPullRequests: [\"GET /search/issues\"],\n        labels: [\"GET /search/labels\"],\n        repos: [\"GET /search/repositories\"],\n        topics: [\"GET /search/topics\", { mediaType: { previews: [\"mercy\"] } }],\n        users: [\"GET /search/users\"],\n    },\n    teams: {\n        addOrUpdateMembershipForUserInOrg: [\n            \"PUT /orgs/{org}/teams/{team_slug}/memberships/{username}\",\n        ],\n        addOrUpdateProjectPermissionsInOrg: [\n            \"PUT /orgs/{org}/teams/{team_slug}/projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        addOrUpdateRepoPermissionsInOrg: [\n            \"PUT /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}\",\n        ],\n        checkPermissionsForProjectInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/projects/{project_id}\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        checkPermissionsForRepoInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}\",\n        ],\n        create: [\"POST /orgs/{org}/teams\"],\n        createDiscussionCommentInOrg: [\n            \"POST /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments\",\n        ],\n        createDiscussionInOrg: [\"POST /orgs/{org}/teams/{team_slug}/discussions\"],\n        deleteDiscussionCommentInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}\",\n        ],\n        deleteDiscussionInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}\",\n        ],\n        deleteInOrg: [\"DELETE /orgs/{org}/teams/{team_slug}\"],\n        getByName: [\"GET /orgs/{org}/teams/{team_slug}\"],\n        getDiscussionCommentInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}\",\n        ],\n        getDiscussionInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}\",\n        ],\n        getMembershipForUserInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/memberships/{username}\",\n        ],\n        list: [\"GET /orgs/{org}/teams\"],\n        listChildInOrg: [\"GET /orgs/{org}/teams/{team_slug}/teams\"],\n        listDiscussionCommentsInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments\",\n        ],\n        listDiscussionsInOrg: [\"GET /orgs/{org}/teams/{team_slug}/discussions\"],\n        listForAuthenticatedUser: [\"GET /user/teams\"],\n        listMembersInOrg: [\"GET /orgs/{org}/teams/{team_slug}/members\"],\n        listPendingInvitationsInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/invitations\",\n        ],\n        listProjectsInOrg: [\n            \"GET /orgs/{org}/teams/{team_slug}/projects\",\n            { mediaType: { previews: [\"inertia\"] } },\n        ],\n        listReposInOrg: [\"GET /orgs/{org}/teams/{team_slug}/repos\"],\n        removeMembershipForUserInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/memberships/{username}\",\n        ],\n        removeProjectInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/projects/{project_id}\",\n        ],\n        removeRepoInOrg: [\n            \"DELETE /orgs/{org}/teams/{team_slug}/repos/{owner}/{repo}\",\n        ],\n        updateDiscussionCommentInOrg: [\n            \"PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}/comments/{comment_number}\",\n        ],\n        updateDiscussionInOrg: [\n            \"PATCH /orgs/{org}/teams/{team_slug}/discussions/{discussion_number}\",\n        ],\n        updateInOrg: [\"PATCH /orgs/{org}/teams/{team_slug}\"],\n    },\n    users: {\n        addEmailForAuthenticated: [\"POST /user/emails\"],\n        block: [\"PUT /user/blocks/{username}\"],\n        checkBlocked: [\"GET /user/blocks/{username}\"],\n        checkFollowingForUser: [\"GET /users/{username}/following/{target_user}\"],\n        checkPersonIsFollowedByAuthenticated: [\"GET /user/following/{username}\"],\n        createGpgKeyForAuthenticated: [\"POST /user/gpg_keys\"],\n        createPublicSshKeyForAuthenticated: [\"POST /user/keys\"],\n        deleteEmailForAuthenticated: [\"DELETE /user/emails\"],\n        deleteGpgKeyForAuthenticated: [\"DELETE /user/gpg_keys/{gpg_key_id}\"],\n        deletePublicSshKeyForAuthenticated: [\"DELETE /user/keys/{key_id}\"],\n        follow: [\"PUT /user/following/{username}\"],\n        getAuthenticated: [\"GET /user\"],\n        getByUsername: [\"GET /users/{username}\"],\n        getContextForUser: [\"GET /users/{username}/hovercard\"],\n        getGpgKeyForAuthenticated: [\"GET /user/gpg_keys/{gpg_key_id}\"],\n        getPublicSshKeyForAuthenticated: [\"GET /user/keys/{key_id}\"],\n        list: [\"GET /users\"],\n        listBlockedByAuthenticated: [\"GET /user/blocks\"],\n        listEmailsForAuthenticated: [\"GET /user/emails\"],\n        listFollowedByAuthenticated: [\"GET /user/following\"],\n        listFollowersForAuthenticatedUser: [\"GET /user/followers\"],\n        listFollowersForUser: [\"GET /users/{username}/followers\"],\n        listFollowingForUser: [\"GET /users/{username}/following\"],\n        listGpgKeysForAuthenticated: [\"GET /user/gpg_keys\"],\n        listGpgKeysForUser: [\"GET /users/{username}/gpg_keys\"],\n        listPublicEmailsForAuthenticated: [\"GET /user/public_emails\"],\n        listPublicKeysForUser: [\"GET /users/{username}/keys\"],\n        listPublicSshKeysForAuthenticated: [\"GET /user/keys\"],\n        setPrimaryEmailVisibilityForAuthenticated: [\"PATCH /user/email/visibility\"],\n        unblock: [\"DELETE /user/blocks/{username}\"],\n        unfollow: [\"DELETE /user/following/{username}\"],\n        updateAuthenticated: [\"PATCH /user\"],\n    },\n};\nexport default Endpoints;\n","export const VERSION = \"4.1.2\";\n","export function endpointsToMethods(octokit, endpointsMap) {\n    const newMethods = {};\n    for (const [scope, endpoints] of Object.entries(endpointsMap)) {\n        for (const [methodName, endpoint] of Object.entries(endpoints)) {\n            const [route, defaults, decorations] = endpoint;\n            const [method, url] = route.split(/ /);\n            const endpointDefaults = Object.assign({ method, url }, defaults);\n            if (!newMethods[scope]) {\n                newMethods[scope] = {};\n            }\n            const scopeMethods = newMethods[scope];\n            if (decorations) {\n                scopeMethods[methodName] = decorate(octokit, scope, methodName, endpointDefaults, decorations);\n                continue;\n            }\n            scopeMethods[methodName] = octokit.request.defaults(endpointDefaults);\n        }\n    }\n    return newMethods;\n}\nfunction decorate(octokit, scope, methodName, defaults, decorations) {\n    const requestWithDefaults = octokit.request.defaults(defaults);\n    /* istanbul ignore next */\n    function withDecorations(...args) {\n        // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488\n        let options = requestWithDefaults.endpoint.merge(...args);\n        // There are currently no other decorations than `.mapToData`\n        if (decorations.mapToData) {\n            options = Object.assign({}, options, {\n                data: options[decorations.mapToData],\n                [decorations.mapToData]: undefined,\n            });\n            return requestWithDefaults(options);\n        }\n        if (decorations.renamed) {\n            const [newScope, newMethodName] = decorations.renamed;\n            octokit.log.warn(`octokit.${scope}.${methodName}() has been renamed to octokit.${newScope}.${newMethodName}()`);\n        }\n        if (decorations.deprecated) {\n            octokit.log.warn(decorations.deprecated);\n        }\n        if (decorations.renamedParameters) {\n            // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488\n            const options = requestWithDefaults.endpoint.merge(...args);\n            for (const [name, alias] of Object.entries(decorations.renamedParameters)) {\n                if (name in options) {\n                    octokit.log.warn(`\"${name}\" parameter is deprecated for \"octokit.${scope}.${methodName}()\". Use \"${alias}\" instead`);\n                    if (!(alias in options)) {\n                        options[alias] = options[name];\n                    }\n                    delete options[name];\n                }\n            }\n            return requestWithDefaults(options);\n        }\n        // @ts-ignore https://github.com/microsoft/TypeScript/issues/25488\n        return requestWithDefaults(...args);\n    }\n    return Object.assign(withDecorations, requestWithDefaults);\n}\n","import ENDPOINTS from \"./generated/endpoints\";\nimport { VERSION } from \"./version\";\nimport { endpointsToMethods } from \"./endpoints-to-methods\";\n/**\n * This plugin is a 1:1 copy of internal @octokit/rest plugins. The primary\n * goal is to rebuild @octokit/rest on top of @octokit/core. Once that is\n * done, we will remove the registerEndpoints methods and return the methods\n * directly as with the other plugins. At that point we will also remove the\n * legacy workarounds and deprecations.\n *\n * See the plan at\n * https://github.com/octokit/plugin-rest-endpoint-methods.js/pull/1\n */\nexport function restEndpointMethods(octokit) {\n    return endpointsToMethods(octokit, ENDPOINTS);\n}\nrestEndpointMethods.VERSION = 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\ No newline at end of file
diff --git a/node_modules/@octokit/plugin-rest-endpoint-methods/package.json b/node_modules/@octokit/plugin-rest-endpoint-methods/package.json
index 085134277..508b772ed 100644
--- a/node_modules/@octokit/plugin-rest-endpoint-methods/package.json
+++ b/node_modules/@octokit/plugin-rest-endpoint-methods/package.json
@@ -1,65 +1,66 @@
 {
   "_args": [
     [
-      "@octokit/plugin-rest-endpoint-methods@2.4.0",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@octokit/plugin-rest-endpoint-methods@4.1.2",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@octokit/plugin-rest-endpoint-methods@2.4.0",
-  "_id": "@octokit/plugin-rest-endpoint-methods@2.4.0",
+  "_from": "@octokit/plugin-rest-endpoint-methods@4.1.2",
+  "_id": "@octokit/plugin-rest-endpoint-methods@4.1.2",
   "_inBundle": false,
-  "_integrity": "sha512-EZi/AWhtkdfAYi01obpX0DF7U6b1VRr30QNQ5xSFPITMdLSfhcBqjamE3F+sKcxPbD7eZuMHu3Qkk2V+JGxBDQ==",
+  "_integrity": "sha512-PTI7wpbGEZ2IR87TVh+TNWaLcgX/RsZQalFbQCq8XxYUrQ36RHyERrHSNXFy5gkWpspUAOYRSV707JJv6BhqJA==",
   "_location": "/@octokit/plugin-rest-endpoint-methods",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@octokit/plugin-rest-endpoint-methods@2.4.0",
+    "raw": "@octokit/plugin-rest-endpoint-methods@4.1.2",
     "name": "@octokit/plugin-rest-endpoint-methods",
     "escapedName": "@octokit%2fplugin-rest-endpoint-methods",
     "scope": "@octokit",
-    "rawSpec": "2.4.0",
+    "rawSpec": "4.1.2",
     "saveSpec": null,
-    "fetchSpec": "2.4.0"
+    "fetchSpec": "4.1.2"
   },
   "_requiredBy": [
-    "/@octokit/rest"
+    "/@actions/github"
   ],
-  "_resolved": "https://registry.npmjs.org/@octokit/plugin-rest-endpoint-methods/-/plugin-rest-endpoint-methods-2.4.0.tgz",
-  "_spec": "2.4.0",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@octokit/plugin-rest-endpoint-methods/-/plugin-rest-endpoint-methods-4.1.2.tgz",
+  "_spec": "4.1.2",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/octokit/plugin-rest-endpoint-methods.js/issues"
   },
   "dependencies": {
-    "@octokit/types": "^2.0.1",
+    "@octokit/types": "^5.1.1",
     "deprecation": "^2.3.1"
   },
   "description": "Octokit plugin adding one method for all of api.github.com REST API endpoints",
   "devDependencies": {
-    "@gimenete/type-writer": "^0.1.4",
-    "@octokit/core": "^2.1.2",
+    "@gimenete/type-writer": "^0.1.5",
+    "@octokit/core": "^3.0.0",
     "@octokit/graphql": "^4.3.1",
     "@pika/pack": "^0.5.0",
-    "@pika/plugin-build-node": "^0.7.1",
-    "@pika/plugin-build-web": "^0.7.1",
-    "@pika/plugin-ts-standard-pkg": "^0.7.1",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
     "@types/fetch-mock": "^7.3.1",
-    "@types/jest": "^25.1.0",
-    "@types/node": "^13.1.0",
-    "fetch-mock": "^8.0.0",
-    "jest": "^24.9.0",
+    "@types/jest": "^26.0.0",
+    "@types/node": "^14.0.4",
+    "fetch-mock": "^9.0.0",
+    "fs-extra": "^9.0.0",
+    "jest": "^26.1.0",
     "lodash.camelcase": "^4.3.0",
     "lodash.set": "^4.3.2",
     "lodash.upperfirst": "^4.3.1",
     "mustache": "^4.0.0",
     "npm-run-all": "^4.1.5",
-    "prettier": "^1.19.1",
+    "prettier": "^2.0.1",
     "semantic-release": "^17.0.0",
     "semantic-release-plugin-update-version-in-files": "^1.0.0",
     "sort-keys": "^4.0.0",
     "string-to-jsdoc-comment": "^1.0.0",
-    "ts-jest": "^25.1.0",
+    "ts-jest": "^26.1.3",
     "typescript": "^3.7.2"
   },
   "files": [
@@ -88,5 +89,5 @@
   "sideEffects": false,
   "source": "dist-src/index.js",
   "types": "dist-types/index.d.ts",
-  "version": "2.4.0"
+  "version": "4.1.2"
 }
diff --git a/node_modules/@octokit/request-error/README.md b/node_modules/@octokit/request-error/README.md
index bcb711d91..315064ce2 100644
--- a/node_modules/@octokit/request-error/README.md
+++ b/node_modules/@octokit/request-error/README.md
@@ -3,8 +3,7 @@
 > Error class for Octokit request errors
 
 [![@latest](https://img.shields.io/npm/v/@octokit/request-error.svg)](https://www.npmjs.com/package/@octokit/request-error)
-[![Build Status](https://travis-ci.com/octokit/request-error.js.svg?branch=master)](https://travis-ci.com/octokit/request-error.js)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/request-error.js.svg)](https://greenkeeper.io/)
+[![Build Status](https://github.com/octokit/request-error.js/workflows/Test/badge.svg)](https://github.com/octokit/request-error.js/actions?query=workflow%3ATest)
 
 ## Usage
 
@@ -40,18 +39,18 @@ const { RequestError } = require("@octokit/request-error");
 ```js
 const error = new RequestError("Oops", 500, {
   headers: {
-    "x-github-request-id": "1:2:3:4"
+    "x-github-request-id": "1:2:3:4",
   }, // response headers
   request: {
     method: "POST",
     url: "https://api.github.com/foo",
     body: {
-      bar: "baz"
+      bar: "baz",
     },
     headers: {
-      authorization: "token secret123"
-    }
-  }
+      authorization: "token secret123",
+    },
+  },
 });
 
 error.message; // Oops
diff --git a/node_modules/@octokit/request-error/dist-node/index.js.map b/node_modules/@octokit/request-error/dist-node/index.js.map
index ec1c6dbc2..25620064f 100644
--- a/node_modules/@octokit/request-error/dist-node/index.js.map
+++ b/node_modules/@octokit/request-error/dist-node/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/index.js"],"sourcesContent":["import { Deprecation } from \"deprecation\";\nimport once from \"once\";\nconst logOnce = once((deprecation) => console.warn(deprecation));\n/**\n * Error with extra properties to help with debugging\n */\nexport class RequestError extends Error {\n    constructor(message, statusCode, options) {\n        super(message);\n        // Maintains proper stack trace (only available on V8)\n        /* istanbul ignore next */\n        if (Error.captureStackTrace) {\n            Error.captureStackTrace(this, this.constructor);\n        }\n        this.name = \"HttpError\";\n        this.status = statusCode;\n        Object.defineProperty(this, \"code\", {\n            get() {\n                logOnce(new Deprecation(\"[@octokit/request-error] `error.code` is deprecated, use `error.status`.\"));\n                return statusCode;\n            }\n        });\n        this.headers = options.headers || {};\n        // redact request credentials without mutating original request options\n        const requestCopy = Object.assign({}, options.request);\n        if (options.request.headers.authorization) {\n            requestCopy.headers = Object.assign({}, options.request.headers, {\n                authorization: options.request.headers.authorization.replace(/ .*$/, \" [REDACTED]\")\n            });\n        }\n        requestCopy.url = requestCopy.url\n            // client_id & client_secret can be passed as URL query parameters to increase rate limit\n            // see https://developer.github.com/v3/#increasing-the-unauthenticated-rate-limit-for-oauth-applications\n            .replace(/\\bclient_secret=\\w+/g, \"client_secret=[REDACTED]\")\n            // OAuth tokens can be passed as URL query parameters, although it is not recommended\n            // see https://developer.github.com/v3/#oauth2-token-sent-in-a-header\n            .replace(/\\baccess_token=\\w+/g, \"access_token=[REDACTED]\");\n        this.request = requestCopy;\n    }\n}\n"],"names":["logOnce","once","deprecation","console","warn","RequestError","Error","constructor","message","statusCode","options","captureStackTrace","name","status","Object","defineProperty","get","Deprecation","headers","requestCopy","assign","request","authorization","replace","url"],"mappings":";;;;;;;;;AAEA,MAAMA,OAAO,GAAGC,IAAI,CAAEC,WAAD,IAAiBC,OAAO,CAACC,IAAR,CAAaF,WAAb,CAAlB,CAApB;;;;;AAIA,AAAO,MAAMG,YAAN,SAA2BC,KAA3B,CAAiC;EACpCC,WAAW,CAACC,OAAD,EAAUC,UAAV,EAAsBC,OAAtB,EAA+B;UAChCF,OAAN,EADsC;;;;QAIlCF,KAAK,CAACK,iBAAV,EAA6B;MACzBL,KAAK,CAACK,iBAAN,CAAwB,IAAxB,EAA8B,KAAKJ,WAAnC;;;SAECK,IAAL,GAAY,WAAZ;SACKC,MAAL,GAAcJ,UAAd;IACAK,MAAM,CAACC,cAAP,CAAsB,IAAtB,EAA4B,MAA5B,EAAoC;MAChCC,GAAG,GAAG;QACFhB,OAAO,CAAC,IAAIiB,uBAAJ,CAAgB,0EAAhB,CAAD,CAAP;eACOR,UAAP;;;KAHR;SAMKS,OAAL,GAAeR,OAAO,CAACQ,OAAR,IAAmB,EAAlC,CAfsC;;UAiBhCC,WAAW,GAAGL,MAAM,CAACM,MAAP,CAAc,EAAd,EAAkBV,OAAO,CAACW,OAA1B,CAApB;;QACIX,OAAO,CAACW,OAAR,CAAgBH,OAAhB,CAAwBI,aAA5B,EAA2C;MACvCH,WAAW,CAACD,OAAZ,GAAsBJ,MAAM,CAACM,MAAP,CAAc,EAAd,EAAkBV,OAAO,CAACW,OAAR,CAAgBH,OAAlC,EAA2C;QAC7DI,aAAa,EAAEZ,OAAO,CAACW,OAAR,CAAgBH,OAAhB,CAAwBI,aAAxB,CAAsCC,OAAtC,CAA8C,MAA9C,EAAsD,aAAtD;OADG,CAAtB;;;IAIJJ,WAAW,CAACK,GAAZ,GAAkBL,WAAW,CAACK,GAAZ;;KAGbD,OAHa,CAGL,sBAHK,EAGmB,0BAHnB;;KAMbA,OANa,CAML,qBANK,EAMkB,yBANlB,CAAlB;SAOKF,OAAL,GAAeF,WAAf;;;;;;;"}
\ No newline at end of file
+{"version":3,"file":"index.js","sources":["../dist-src/index.js"],"sourcesContent":["import { Deprecation } from \"deprecation\";\nimport once from \"once\";\nconst logOnce = once((deprecation) => console.warn(deprecation));\n/**\n * Error with extra properties to help with debugging\n */\nexport class RequestError extends Error {\n    constructor(message, statusCode, options) {\n        super(message);\n        // Maintains proper stack trace (only available on V8)\n        /* istanbul ignore next */\n        if (Error.captureStackTrace) {\n            Error.captureStackTrace(this, this.constructor);\n        }\n        this.name = \"HttpError\";\n        this.status = statusCode;\n        Object.defineProperty(this, \"code\", {\n            get() {\n                logOnce(new Deprecation(\"[@octokit/request-error] `error.code` is deprecated, use `error.status`.\"));\n                return statusCode;\n            },\n        });\n        this.headers = options.headers || {};\n        // redact request credentials without mutating original request options\n        const requestCopy = Object.assign({}, options.request);\n        if (options.request.headers.authorization) {\n            requestCopy.headers = Object.assign({}, options.request.headers, {\n                authorization: options.request.headers.authorization.replace(/ .*$/, \" [REDACTED]\"),\n            });\n        }\n        requestCopy.url = requestCopy.url\n            // client_id & client_secret can be passed as URL query parameters to increase rate limit\n            // see https://developer.github.com/v3/#increasing-the-unauthenticated-rate-limit-for-oauth-applications\n            .replace(/\\bclient_secret=\\w+/g, \"client_secret=[REDACTED]\")\n            // OAuth tokens can be passed as URL query parameters, although it is not recommended\n            // see https://developer.github.com/v3/#oauth2-token-sent-in-a-header\n            .replace(/\\baccess_token=\\w+/g, \"access_token=[REDACTED]\");\n        this.request = requestCopy;\n    }\n}\n"],"names":["logOnce","once","deprecation","console","warn","RequestError","Error","constructor","message","statusCode","options","captureStackTrace","name","status","Object","defineProperty","get","Deprecation","headers","requestCopy","assign","request","authorization","replace","url"],"mappings":";;;;;;;;;AAEA,MAAMA,OAAO,GAAGC,IAAI,CAAEC,WAAD,IAAiBC,OAAO,CAACC,IAAR,CAAaF,WAAb,CAAlB,CAApB;AACA;;;;AAGO,MAAMG,YAAN,SAA2BC,KAA3B,CAAiC;AACpCC,EAAAA,WAAW,CAACC,OAAD,EAAUC,UAAV,EAAsBC,OAAtB,EAA+B;AACtC,UAAMF,OAAN,EADsC;;AAGtC;;AACA,QAAIF,KAAK,CAACK,iBAAV,EAA6B;AACzBL,MAAAA,KAAK,CAACK,iBAAN,CAAwB,IAAxB,EAA8B,KAAKJ,WAAnC;AACH;;AACD,SAAKK,IAAL,GAAY,WAAZ;AACA,SAAKC,MAAL,GAAcJ,UAAd;AACAK,IAAAA,MAAM,CAACC,cAAP,CAAsB,IAAtB,EAA4B,MAA5B,EAAoC;AAChCC,MAAAA,GAAG,GAAG;AACFhB,QAAAA,OAAO,CAAC,IAAIiB,uBAAJ,CAAgB,0EAAhB,CAAD,CAAP;AACA,eAAOR,UAAP;AACH;;AAJ+B,KAApC;AAMA,SAAKS,OAAL,GAAeR,OAAO,CAACQ,OAAR,IAAmB,EAAlC,CAfsC;;AAiBtC,UAAMC,WAAW,GAAGL,MAAM,CAACM,MAAP,CAAc,EAAd,EAAkBV,OAAO,CAACW,OAA1B,CAApB;;AACA,QAAIX,OAAO,CAACW,OAAR,CAAgBH,OAAhB,CAAwBI,aAA5B,EAA2C;AACvCH,MAAAA,WAAW,CAACD,OAAZ,GAAsBJ,MAAM,CAACM,MAAP,CAAc,EAAd,EAAkBV,OAAO,CAACW,OAAR,CAAgBH,OAAlC,EAA2C;AAC7DI,QAAAA,aAAa,EAAEZ,OAAO,CAACW,OAAR,CAAgBH,OAAhB,CAAwBI,aAAxB,CAAsCC,OAAtC,CAA8C,MAA9C,EAAsD,aAAtD;AAD8C,OAA3C,CAAtB;AAGH;;AACDJ,IAAAA,WAAW,CAACK,GAAZ,GAAkBL,WAAW,CAACK,GAAZ;AAEd;AAFc,KAGbD,OAHa,CAGL,sBAHK,EAGmB,0BAHnB;AAKd;AALc,KAMbA,OANa,CAML,qBANK,EAMkB,yBANlB,CAAlB;AAOA,SAAKF,OAAL,GAAeF,WAAf;AACH;;AAhCmC;;;;"}
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diff --git a/node_modules/@octokit/request-error/dist-src/index.js b/node_modules/@octokit/request-error/dist-src/index.js
index cfcb7c416..c880b450f 100644
--- a/node_modules/@octokit/request-error/dist-src/index.js
+++ b/node_modules/@octokit/request-error/dist-src/index.js
@@ -18,14 +18,14 @@ export class RequestError extends Error {
             get() {
                 logOnce(new Deprecation("[@octokit/request-error] `error.code` is deprecated, use `error.status`."));
                 return statusCode;
-            }
+            },
         });
         this.headers = options.headers || {};
         // redact request credentials without mutating original request options
         const requestCopy = Object.assign({}, options.request);
         if (options.request.headers.authorization) {
             requestCopy.headers = Object.assign({}, options.request.headers, {
-                authorization: options.request.headers.authorization.replace(/ .*$/, " [REDACTED]")
+                authorization: options.request.headers.authorization.replace(/ .*$/, " [REDACTED]"),
             });
         }
         requestCopy.url = requestCopy.url
diff --git a/node_modules/@octokit/request-error/dist-web/index.js b/node_modules/@octokit/request-error/dist-web/index.js
index 32b45a36f..feec58ef6 100644
--- a/node_modules/@octokit/request-error/dist-web/index.js
+++ b/node_modules/@octokit/request-error/dist-web/index.js
@@ -19,14 +19,14 @@ class RequestError extends Error {
             get() {
                 logOnce(new Deprecation("[@octokit/request-error] `error.code` is deprecated, use `error.status`."));
                 return statusCode;
-            }
+            },
         });
         this.headers = options.headers || {};
         // redact request credentials without mutating original request options
         const requestCopy = Object.assign({}, options.request);
         if (options.request.headers.authorization) {
             requestCopy.headers = Object.assign({}, options.request.headers, {
-                authorization: options.request.headers.authorization.replace(/ .*$/, " [REDACTED]")
+                authorization: options.request.headers.authorization.replace(/ .*$/, " [REDACTED]"),
             });
         }
         requestCopy.url = requestCopy.url
diff --git a/node_modules/@octokit/request-error/dist-web/index.js.map b/node_modules/@octokit/request-error/dist-web/index.js.map
index 05151b094..130740d7f 100644
--- a/node_modules/@octokit/request-error/dist-web/index.js.map
+++ b/node_modules/@octokit/request-error/dist-web/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/index.js"],"sourcesContent":["import { Deprecation } from \"deprecation\";\nimport once from \"once\";\nconst logOnce = once((deprecation) => console.warn(deprecation));\n/**\n * Error with extra properties to help with debugging\n */\nexport class RequestError extends Error {\n    constructor(message, statusCode, options) {\n        super(message);\n        // Maintains proper stack trace (only available on V8)\n        /* istanbul ignore next */\n        if (Error.captureStackTrace) {\n            Error.captureStackTrace(this, this.constructor);\n        }\n        this.name = \"HttpError\";\n        this.status = statusCode;\n        Object.defineProperty(this, \"code\", {\n            get() {\n                logOnce(new Deprecation(\"[@octokit/request-error] `error.code` is deprecated, use `error.status`.\"));\n                return statusCode;\n            }\n        });\n        this.headers = options.headers || {};\n        // redact request credentials without mutating original request options\n        const requestCopy = Object.assign({}, options.request);\n        if (options.request.headers.authorization) {\n            requestCopy.headers = Object.assign({}, options.request.headers, {\n                authorization: options.request.headers.authorization.replace(/ .*$/, \" [REDACTED]\")\n            });\n        }\n        requestCopy.url = requestCopy.url\n            // client_id & client_secret can be passed as URL query parameters to increase rate limit\n            // see https://developer.github.com/v3/#increasing-the-unauthenticated-rate-limit-for-oauth-applications\n            .replace(/\\bclient_secret=\\w+/g, \"client_secret=[REDACTED]\")\n            // OAuth tokens can be passed as URL query parameters, although it is not recommended\n            // see https://developer.github.com/v3/#oauth2-token-sent-in-a-header\n            .replace(/\\baccess_token=\\w+/g, \"access_token=[REDACTED]\");\n        this.request = requestCopy;\n    }\n}\n"],"names":[],"mappings":";;;AAEA,MAAM,OAAO,GAAG,IAAI,CAAC,CAAC,WAAW,KAAK,OAAO,CAAC,IAAI,CAAC,WAAW,CAAC,CAAC,CAAC;;;;AAIjE,AAAO,MAAM,YAAY,SAAS,KAAK,CAAC;IACpC,WAAW,CAAC,OAAO,EAAE,UAAU,EAAE,OAAO,EAAE;QACtC,KAAK,CAAC,OAAO,CAAC,CAAC;;;QAGf,IAAI,KAAK,CAAC,iBAAiB,EAAE;YACzB,KAAK,CAAC,iBAAiB,CAAC,IAAI,EAAE,IAAI,CAAC,WAAW,CAAC,CAAC;SACnD;QACD,IAAI,CAAC,IAAI,GAAG,WAAW,CAAC;QACxB,IAAI,CAAC,MAAM,GAAG,UAAU,CAAC;QACzB,MAAM,CAAC,cAAc,CAAC,IAAI,EAAE,MAAM,EAAE;YAChC,GAAG,GAAG;gBACF,OAAO,CAAC,IAAI,WAAW,CAAC,0EAA0E,CAAC,CAAC,CAAC;gBACrG,OAAO,UAAU,CAAC;aACrB;SACJ,CAAC,CAAC;QACH,IAAI,CAAC,OAAO,GAAG,OAAO,CAAC,OAAO,IAAI,EAAE,CAAC;;QAErC,MAAM,WAAW,GAAG,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,OAAO,CAAC,OAAO,CAAC,CAAC;QACvD,IAAI,OAAO,CAAC,OAAO,CAAC,OAAO,CAAC,aAAa,EAAE;YACvC,WAAW,CAAC,OAAO,GAAG,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,OAAO,CAAC,OAAO,CAAC,OAAO,EAAE;gBAC7D,aAAa,EAAE,OAAO,CAAC,OAAO,CAAC,OAAO,CAAC,aAAa,CAAC,OAAO,CAAC,MAAM,EAAE,aAAa,CAAC;aACtF,CAAC,CAAC;SACN;QACD,WAAW,CAAC,GAAG,GAAG,WAAW,CAAC,GAAG;;;aAG5B,OAAO,CAAC,sBAAsB,EAAE,0BAA0B,CAAC;;;aAG3D,OAAO,CAAC,qBAAqB,EAAE,yBAAyB,CAAC,CAAC;QAC/D,IAAI,CAAC,OAAO,GAAG,WAAW,CAAC;KAC9B;CACJ;;;;"}
\ No newline at end of file
+{"version":3,"file":"index.js","sources":["../dist-src/index.js"],"sourcesContent":["import { Deprecation } from \"deprecation\";\nimport once from \"once\";\nconst logOnce = once((deprecation) => console.warn(deprecation));\n/**\n * Error with extra properties to help with debugging\n */\nexport class RequestError extends Error {\n    constructor(message, statusCode, options) {\n        super(message);\n        // Maintains proper stack trace (only available on V8)\n        /* istanbul ignore next */\n        if (Error.captureStackTrace) {\n            Error.captureStackTrace(this, this.constructor);\n        }\n        this.name = \"HttpError\";\n        this.status = statusCode;\n        Object.defineProperty(this, \"code\", {\n            get() {\n                logOnce(new Deprecation(\"[@octokit/request-error] `error.code` is deprecated, use `error.status`.\"));\n                return statusCode;\n            },\n        });\n        this.headers = options.headers || {};\n        // redact request credentials without mutating original request options\n        const requestCopy = Object.assign({}, options.request);\n        if (options.request.headers.authorization) {\n            requestCopy.headers = Object.assign({}, options.request.headers, {\n                authorization: options.request.headers.authorization.replace(/ .*$/, \" [REDACTED]\"),\n            });\n        }\n        requestCopy.url = requestCopy.url\n            // client_id & client_secret can be passed as URL query parameters to increase rate limit\n            // see https://developer.github.com/v3/#increasing-the-unauthenticated-rate-limit-for-oauth-applications\n            .replace(/\\bclient_secret=\\w+/g, \"client_secret=[REDACTED]\")\n            // OAuth tokens can be passed as URL query parameters, although it is not recommended\n            // see https://developer.github.com/v3/#oauth2-token-sent-in-a-header\n            .replace(/\\baccess_token=\\w+/g, \"access_token=[REDACTED]\");\n        this.request = requestCopy;\n    }\n}\n"],"names":[],"mappings":";;;AAEA,MAAM,OAAO,GAAG,IAAI,CAAC,CAAC,WAAW,KAAK,OAAO,CAAC,IAAI,CAAC,WAAW,CAAC,CAAC,CAAC;AACjE;AACA;AACA;AACO,MAAM,YAAY,SAAS,KAAK,CAAC;AACxC,IAAI,WAAW,CAAC,OAAO,EAAE,UAAU,EAAE,OAAO,EAAE;AAC9C,QAAQ,KAAK,CAAC,OAAO,CAAC,CAAC;AACvB;AACA;AACA,QAAQ,IAAI,KAAK,CAAC,iBAAiB,EAAE;AACrC,YAAY,KAAK,CAAC,iBAAiB,CAAC,IAAI,EAAE,IAAI,CAAC,WAAW,CAAC,CAAC;AAC5D,SAAS;AACT,QAAQ,IAAI,CAAC,IAAI,GAAG,WAAW,CAAC;AAChC,QAAQ,IAAI,CAAC,MAAM,GAAG,UAAU,CAAC;AACjC,QAAQ,MAAM,CAAC,cAAc,CAAC,IAAI,EAAE,MAAM,EAAE;AAC5C,YAAY,GAAG,GAAG;AAClB,gBAAgB,OAAO,CAAC,IAAI,WAAW,CAAC,0EAA0E,CAAC,CAAC,CAAC;AACrH,gBAAgB,OAAO,UAAU,CAAC;AAClC,aAAa;AACb,SAAS,CAAC,CAAC;AACX,QAAQ,IAAI,CAAC,OAAO,GAAG,OAAO,CAAC,OAAO,IAAI,EAAE,CAAC;AAC7C;AACA,QAAQ,MAAM,WAAW,GAAG,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,OAAO,CAAC,OAAO,CAAC,CAAC;AAC/D,QAAQ,IAAI,OAAO,CAAC,OAAO,CAAC,OAAO,CAAC,aAAa,EAAE;AACnD,YAAY,WAAW,CAAC,OAAO,GAAG,MAAM,CAAC,MAAM,CAAC,EAAE,EAAE,OAAO,CAAC,OAAO,CAAC,OAAO,EAAE;AAC7E,gBAAgB,aAAa,EAAE,OAAO,CAAC,OAAO,CAAC,OAAO,CAAC,aAAa,CAAC,OAAO,CAAC,MAAM,EAAE,aAAa,CAAC;AACnG,aAAa,CAAC,CAAC;AACf,SAAS;AACT,QAAQ,WAAW,CAAC,GAAG,GAAG,WAAW,CAAC,GAAG;AACzC;AACA;AACA,aAAa,OAAO,CAAC,sBAAsB,EAAE,0BAA0B,CAAC;AACxE;AACA;AACA,aAAa,OAAO,CAAC,qBAAqB,EAAE,yBAAyB,CAAC,CAAC;AACvE,QAAQ,IAAI,CAAC,OAAO,GAAG,WAAW,CAAC;AACnC,KAAK;AACL;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/request-error/package.json b/node_modules/@octokit/request-error/package.json
index 204489e43..181b203da 100644
--- a/node_modules/@octokit/request-error/package.json
+++ b/node_modules/@octokit/request-error/package.json
@@ -1,57 +1,56 @@
 {
   "_args": [
     [
-      "@octokit/request-error@1.2.1",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@octokit/request-error@2.0.2",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@octokit/request-error@1.2.1",
-  "_id": "@octokit/request-error@1.2.1",
+  "_from": "@octokit/request-error@2.0.2",
+  "_id": "@octokit/request-error@2.0.2",
   "_inBundle": false,
-  "_integrity": "sha512-+6yDyk1EES6WK+l3viRDElw96MvwfJxCt45GvmjDUKWjYIb3PJZQkq3i46TwGwoPD4h8NmTrENmtyA1FwbmhRA==",
+  "_integrity": "sha512-2BrmnvVSV1MXQvEkrb9zwzP0wXFNbPJij922kYBTLIlIafukrGOb+ABBT2+c6wZiuyWDH1K1zmjGQ0toN/wMWw==",
   "_location": "/@octokit/request-error",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@octokit/request-error@1.2.1",
+    "raw": "@octokit/request-error@2.0.2",
     "name": "@octokit/request-error",
     "escapedName": "@octokit%2frequest-error",
     "scope": "@octokit",
-    "rawSpec": "1.2.1",
+    "rawSpec": "2.0.2",
     "saveSpec": null,
-    "fetchSpec": "1.2.1"
+    "fetchSpec": "2.0.2"
   },
   "_requiredBy": [
-    "/@octokit/request",
-    "/@octokit/rest"
+    "/@octokit/request"
   ],
-  "_resolved": "https://registry.npmjs.org/@octokit/request-error/-/request-error-1.2.1.tgz",
-  "_spec": "1.2.1",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@octokit/request-error/-/request-error-2.0.2.tgz",
+  "_spec": "2.0.2",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/octokit/request-error.js/issues"
   },
   "dependencies": {
-    "@octokit/types": "^2.0.0",
+    "@octokit/types": "^5.0.1",
     "deprecation": "^2.0.0",
     "once": "^1.4.0"
   },
   "description": "Error class for Octokit request errors",
   "devDependencies": {
     "@pika/pack": "^0.5.0",
-    "@pika/plugin-build-node": "^0.8.1",
-    "@pika/plugin-build-web": "^0.8.1",
-    "@pika/plugin-bundle-web": "^0.8.1",
-    "@pika/plugin-ts-standard-pkg": "^0.8.1",
-    "@types/jest": "^25.1.0",
-    "@types/node": "^13.1.0",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-bundle-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
+    "@types/jest": "^26.0.0",
+    "@types/node": "^14.0.4",
     "@types/once": "^1.4.0",
-    "jest": "^24.7.1",
+    "jest": "^25.1.0",
     "pika-plugin-unpkg-field": "^1.1.0",
-    "prettier": "^1.17.0",
+    "prettier": "^2.0.1",
     "semantic-release": "^17.0.0",
-    "ts-jest": "^24.0.2",
+    "ts-jest": "^25.1.0",
     "typescript": "^3.4.5"
   },
   "files": [
@@ -80,5 +79,5 @@
   "sideEffects": false,
   "source": "dist-src/index.js",
   "types": "dist-types/index.d.ts",
-  "version": "1.2.1"
+  "version": "2.0.2"
 }
diff --git a/node_modules/@octokit/request/README.md b/node_modules/@octokit/request/README.md
index db35e6289..ef04ae892 100644
--- a/node_modules/@octokit/request/README.md
+++ b/node_modules/@octokit/request/README.md
@@ -3,8 +3,7 @@
 > Send parameterized requests to GitHub’s APIs with sensible defaults in browsers and Node
 
 [![@latest](https://img.shields.io/npm/v/@octokit/request.svg)](https://www.npmjs.com/package/@octokit/request)
-[![Build Status](https://travis-ci.org/octokit/request.js.svg?branch=master)](https://travis-ci.org/octokit/request.js)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/request.js.svg)](https://greenkeeper.io/)
+[![Build Status](https://github.com/octokit/request.js/workflows/Test/badge.svg)](https://github.com/octokit/request.js/actions?query=workflow%3ATest+branch%3Amaster)
 
 `@octokit/request` is a request library for browsers & node that makes it easier
 to interact with [GitHub’s REST API](https://developer.github.com/v3/) and
@@ -41,12 +40,12 @@ the passed options and sends the request using [fetch](https://developer.mozilla
 ```js
 request("POST /repos/:owner/:repo/issues/:number/labels", {
   mediaType: {
-    previews: ["symmetra"]
+    previews: ["symmetra"],
   },
   owner: "octokit",
   repo: "request.js",
   number: 1,
-  labels: ["🐛 bug"]
+  labels: ["🐛 bug"],
 });
 ```
 
@@ -102,10 +101,10 @@ const { request } = require("@octokit/request");
 // https://developer.github.com/v3/repos/#list-organization-repositories
 const result = await request("GET /orgs/:org/repos", {
   headers: {
-    authorization: "token 0000000000000000000000000000000000000001"
+    authorization: "token 0000000000000000000000000000000000000001",
   },
   org: "octokit",
-  type: "private"
+  type: "private",
 });
 
 console.log(`${result.data.length} repos found.`);
@@ -118,7 +117,7 @@ For GraphQL request we recommend using [`@octokit/graphql`](https://github.com/o
 ```js
 const result = await request("POST /graphql", {
   headers: {
-    authorization: "token 0000000000000000000000000000000000000001"
+    authorization: "token 0000000000000000000000000000000000000001",
   },
   query: `query ($login: String!) {
     organization(login: $login) {
@@ -128,8 +127,8 @@ const result = await request("POST /graphql", {
     }
   }`,
   variables: {
-    login: "octokit"
-  }
+    login: "octokit",
+  },
 });
 ```
 
@@ -142,10 +141,10 @@ const result = await request({
   method: "GET",
   url: "/orgs/:org/repos",
   headers: {
-    authorization: "token 0000000000000000000000000000000000000001"
+    authorization: "token 0000000000000000000000000000000000000001",
   },
   org: "octokit",
-  type: "private"
+  type: "private",
 });
 ```
 
@@ -156,10 +155,10 @@ The simplest way to authenticate a request is to set the `Authorization` header
 ```js
 const requestWithAuth = request.defaults({
   headers: {
-    authorization: "token 0000000000000000000000000000000000000001"
-  }
+    authorization: "token 0000000000000000000000000000000000000001",
+  },
 });
-const result = await request("GET /user");
+const result = await requestWithAuth("GET /user");
 ```
 
 For more complex authentication strategies such as GitHub Apps or Basic, we recommend the according authentication library exported by [`@octokit/auth`](https://github.com/octokit/auth.js).
@@ -169,22 +168,22 @@ const { createAppAuth } = require("@octokit/auth-app");
 const auth = createAppAuth({
   id: process.env.APP_ID,
   privateKey: process.env.PRIVATE_KEY,
-  installationId: 123
+  installationId: 123,
 });
 const requestWithAuth = request.defaults({
   request: {
-    hook: auth.hook
+    hook: auth.hook,
   },
   mediaType: {
-    previews: ["machine-man"]
-  }
+    previews: ["machine-man"],
+  },
 });
 
 const { data: app } = await requestWithAuth("GET /app");
 const { data: app } = await requestWithAuth("POST /repos/:owner/:repo/issues", {
   owner: "octocat",
   repo: "hello-world",
-  title: "Hello from the engine room"
+  title: "Hello from the engine room",
 });
 ```
 
@@ -416,10 +415,10 @@ const myrequest = require("@octokit/request").defaults({
   baseUrl: "https://github-enterprise.acme-inc.com/api/v3",
   headers: {
     "user-agent": "myApp/1.2.3",
-    authorization: `token 0000000000000000000000000000000000000001`
+    authorization: `token 0000000000000000000000000000000000000001`,
   },
   org: "my-project",
-  per_page: 100
+  per_page: 100,
 });
 
 myrequest(`GET /orgs/:org/repos`);
@@ -431,14 +430,14 @@ You can call `.defaults()` again on the returned method, the defaults will casca
 const myProjectRequest = request.defaults({
   baseUrl: "https://github-enterprise.acme-inc.com/api/v3",
   headers: {
-    "user-agent": "myApp/1.2.3"
+    "user-agent": "myApp/1.2.3",
   },
-  org: "my-project"
+  org: "my-project",
 });
 const myProjectRequestWithAuth = myProjectRequest.defaults({
   headers: {
-    authorization: `token 0000000000000000000000000000000000000001`
-  }
+    authorization: `token 0000000000000000000000000000000000000001`,
+  },
 });
 ```
 
@@ -453,7 +452,7 @@ See https://github.com/octokit/endpoint.js. Example
 ```js
 const options = request.endpoint("GET /orgs/:org/repos", {
   org: "my-project",
-  type: "private"
+  type: "private",
 });
 
 // {
@@ -487,8 +486,8 @@ const response = await request("POST /markdown/raw", {
   data: "Hello world github/linguist#1 **cool**, and #1!",
   headers: {
     accept: "text/html;charset=utf-8",
-    "content-type": "text/plain"
-  }
+    "content-type": "text/plain",
+  },
 });
 
 // Request is sent as
@@ -527,9 +526,9 @@ request(
     headers: {
       "content-type": "text/plain",
       "content-length": 14,
-      authorization: `token 0000000000000000000000000000000000000001`
+      authorization: `token 0000000000000000000000000000000000000001`,
     },
-    data: "Hello, world!"
+    data: "Hello, world!",
   }
 );
 ```
diff --git a/node_modules/@octokit/request/dist-node/index.js b/node_modules/@octokit/request/dist-node/index.js
index 19b227bfb..72048946d 100644
--- a/node_modules/@octokit/request/dist-node/index.js
+++ b/node_modules/@octokit/request/dist-node/index.js
@@ -10,7 +10,7 @@ var isPlainObject = _interopDefault(require('is-plain-object'));
 var nodeFetch = _interopDefault(require('node-fetch'));
 var requestError = require('@octokit/request-error');
 
-const VERSION = "5.3.1";
+const VERSION = "5.4.7";
 
 function getBufferResponse(response) {
   return response.arrayBuffer();
@@ -40,7 +40,7 @@ function fetchWrapper(requestOptions) {
 
     if (status === 204 || status === 205) {
       return;
-    } // GitHub API returns 200 for HEAD requsets
+    } // GitHub API returns 200 for HEAD requests
 
 
     if (requestOptions.method === "HEAD") {
@@ -71,7 +71,7 @@ function fetchWrapper(requestOptions) {
         try {
           let responseBody = JSON.parse(error.message);
           Object.assign(error, responseBody);
-          let errors = responseBody.errors; // Assumption `errors` would always be in Array Fotmat
+          let errors = responseBody.errors; // Assumption `errors` would always be in Array format
 
           error.message = error.message + ": " + errors.map(JSON.stringify).join(", ");
         } catch (e) {// ignore, see octokit/rest.js#684
diff --git a/node_modules/@octokit/request/dist-node/index.js.map b/node_modules/@octokit/request/dist-node/index.js.map
index b0ffb707f..7beace707 100644
--- a/node_modules/@octokit/request/dist-node/index.js.map
+++ b/node_modules/@octokit/request/dist-node/index.js.map
@@ -1 +1 @@
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requestOptions.method,\n        body: requestOptions.body,\n        headers: requestOptions.headers,\n        redirect: requestOptions.redirect\n    }, requestOptions.request))\n        .then(response => {\n        url = response.url;\n        status = response.status;\n        for (const keyAndValue of response.headers) {\n            headers[keyAndValue[0]] = keyAndValue[1];\n        }\n        if (status === 204 || status === 205) {\n            return;\n        }\n        // GitHub API returns 200 for HEAD requsets\n        if (requestOptions.method === \"HEAD\") {\n            if (status < 400) {\n                return;\n            }\n            throw new RequestError(response.statusText, status, {\n                headers,\n                request: requestOptions\n            });\n        }\n        if (status === 304) {\n            throw new RequestError(\"Not modified\", status, {\n                headers,\n                request: requestOptions\n            });\n        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\ No newline at end of file
+{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/get-buffer-response.js","../dist-src/fetch-wrapper.js","../dist-src/with-defaults.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"5.4.7\";\n","export default function getBufferResponse(response) {\n    return response.arrayBuffer();\n}\n","import isPlainObject from \"is-plain-object\";\nimport nodeFetch from \"node-fetch\";\nimport { RequestError } from \"@octokit/request-error\";\nimport getBuffer from \"./get-buffer-response\";\nexport default function fetchWrapper(requestOptions) {\n    if (isPlainObject(requestOptions.body) ||\n        Array.isArray(requestOptions.body)) {\n        requestOptions.body = JSON.stringify(requestOptions.body);\n    }\n    let headers = {};\n    let status;\n    let url;\n    const fetch = (requestOptions.request && requestOptions.request.fetch) || nodeFetch;\n    return fetch(requestOptions.url, Object.assign({\n        method: requestOptions.method,\n        body: requestOptions.body,\n        headers: requestOptions.headers,\n        redirect: requestOptions.redirect,\n    }, requestOptions.request))\n        .then((response) => {\n        url = response.url;\n        status = response.status;\n        for (const keyAndValue of response.headers) {\n            headers[keyAndValue[0]] = keyAndValue[1];\n        }\n        if (status === 204 || status === 205) {\n            return;\n        }\n        // GitHub API returns 200 for HEAD requests\n        if (requestOptions.method === \"HEAD\") {\n            if (status < 400) {\n                return;\n            }\n            throw new RequestError(response.statusText, status, {\n                headers,\n                request: requestOptions,\n            });\n        }\n        if (status === 304) {\n            throw new RequestError(\"Not modified\", status, {\n                headers,\n                request: requestOptions,\n            });\n        }\n        if (status >= 400) {\n            return response\n                .text()\n                .then((message) => {\n                const error = new RequestError(message, status, {\n                    headers,\n                    request: requestOptions,\n                });\n                try {\n                    let responseBody = JSON.parse(error.message);\n                    Object.assign(error, responseBody);\n                    let errors = responseBody.errors;\n                    // Assumption `errors` would always be in Array format\n                    error.message =\n                        error.message + \": \" + errors.map(JSON.stringify).join(\", \");\n                }\n                catch (e) {\n                    // ignore, see octokit/rest.js#684\n                }\n                throw error;\n            });\n        }\n        const contentType = response.headers.get(\"content-type\");\n        if (/application\\/json/.test(contentType)) {\n            return response.json();\n        }\n        if (!contentType || /^text\\/|charset=utf-8$/.test(contentType)) {\n            return response.text();\n        }\n        return getBuffer(response);\n    })\n        .then((data) => {\n        return {\n            status,\n            url,\n            headers,\n            data,\n        };\n    })\n        .catch((error) => {\n        if (error instanceof RequestError) {\n            throw error;\n        }\n        throw new RequestError(error.message, 500, {\n            headers,\n            request: requestOptions,\n        });\n    });\n}\n","import fetchWrapper from \"./fetch-wrapper\";\nexport default function withDefaults(oldEndpoint, newDefaults) {\n    const endpoint = oldEndpoint.defaults(newDefaults);\n    const newApi = function (route, parameters) {\n        const endpointOptions = endpoint.merge(route, parameters);\n        if (!endpointOptions.request || !endpointOptions.request.hook) {\n            return fetchWrapper(endpoint.parse(endpointOptions));\n        }\n        const request = (route, parameters) => {\n            return fetchWrapper(endpoint.parse(endpoint.merge(route, parameters)));\n        };\n        Object.assign(request, {\n            endpoint,\n            defaults: withDefaults.bind(null, endpoint),\n        });\n        return endpointOptions.request.hook(request, endpointOptions);\n    };\n    return Object.assign(newApi, {\n        endpoint,\n        defaults: withDefaults.bind(null, endpoint),\n    });\n}\n","import { endpoint } from \"@octokit/endpoint\";\nimport { getUserAgent } from \"universal-user-agent\";\nimport { VERSION } from \"./version\";\nimport withDefaults from \"./with-defaults\";\nexport const request = withDefaults(endpoint, {\n    headers: {\n        \"user-agent\": `octokit-request.js/${VERSION} ${getUserAgent()}`,\n    },\n});\n"],"names":["VERSION","getBufferResponse","response","arrayBuffer","fetchWrapper","requestOptions","isPlainObject","body","Array","isArray","JSON","stringify","headers","status","url","fetch","request","nodeFetch","Object","assign","method","redirect","then","keyAndValue","RequestError","statusText","text","message","error","responseBody","parse","errors","map","join","e","contentType","get","test","json","getBuffer","data","catch","withDefaults","oldEndpoint","newDefaults","endpoint","defaults","newApi","route","parameters","endpointOptions","merge","hook","bind","getUserAgent"],"mappings":";;;;;;;;;;;;AAAO,MAAMA,OAAO,GAAG,mBAAhB;;ACAQ,SAASC,iBAAT,CAA2BC,QAA3B,EAAqC;AAChD,SAAOA,QAAQ,CAACC,WAAT,EAAP;AACH;;ACEc,SAASC,YAAT,CAAsBC,cAAtB,EAAsC;AACjD,MAAIC,aAAa,CAACD,cAAc,CAACE,IAAhB,CAAb,IACAC,KAAK,CAACC,OAAN,CAAcJ,cAAc,CAACE,IAA7B,CADJ,EACwC;AACpCF,IAAAA,cAAc,CAACE,IAAf,GAAsBG,IAAI,CAACC,SAAL,CAAeN,cAAc,CAACE,IAA9B,CAAtB;AACH;;AACD,MAAIK,OAAO,GAAG,EAAd;AACA,MAAIC,MAAJ;AACA,MAAIC,GAAJ;AACA,QAAMC,KAAK,GAAIV,cAAc,CAACW,OAAf,IAA0BX,cAAc,CAACW,OAAf,CAAuBD,KAAlD,IAA4DE,SAA1E;AACA,SAAOF,KAAK,CAACV,cAAc,CAACS,GAAhB,EAAqBI,MAAM,CAACC,MAAP,CAAc;AAC3CC,IAAAA,MAAM,EAAEf,cAAc,CAACe,MADoB;AAE3Cb,IAAAA,IAAI,EAAEF,cAAc,CAACE,IAFsB;AAG3CK,IAAAA,OAAO,EAAEP,cAAc,CAACO,OAHmB;AAI3CS,IAAAA,QAAQ,EAAEhB,cAAc,CAACgB;AAJkB,GAAd,EAK9BhB,cAAc,CAACW,OALe,CAArB,CAAL,CAMFM,IANE,CAMIpB,QAAD,IAAc;AACpBY,IAAAA,GAAG,GAAGZ,QAAQ,CAACY,GAAf;AACAD,IAAAA,MAAM,GAAGX,QAAQ,CAACW,MAAlB;;AACA,SAAK,MAAMU,WAAX,IAA0BrB,QAAQ,CAACU,OAAnC,EAA4C;AACxCA,MAAAA,OAAO,CAACW,WAAW,CAAC,CAAD,CAAZ,CAAP,GAA0BA,WAAW,CAAC,CAAD,CAArC;AACH;;AACD,QAAIV,MAAM,KAAK,GAAX,IAAkBA,MAAM,KAAK,GAAjC,EAAsC;AAClC;AACH,KARmB;;;AAUpB,QAAIR,cAAc,CAACe,MAAf,KAA0B,MAA9B,EAAsC;AAClC,UAAIP,MAAM,GAAG,GAAb,EAAkB;AACd;AACH;;AACD,YAAM,IAAIW,yBAAJ,CAAiBtB,QAAQ,CAACuB,UAA1B,EAAsCZ,MAAtC,EAA8C;AAChDD,QAAAA,OADgD;AAEhDI,QAAAA,OAAO,EAAEX;AAFuC,OAA9C,CAAN;AAIH;;AACD,QAAIQ,MAAM,KAAK,GAAf,EAAoB;AAChB,YAAM,IAAIW,yBAAJ,CAAiB,cAAjB,EAAiCX,MAAjC,EAAyC;AAC3CD,QAAAA,OAD2C;AAE3CI,QAAAA,OAAO,EAAEX;AAFkC,OAAzC,CAAN;AAIH;;AACD,QAAIQ,MAAM,IAAI,GAAd,EAAmB;AACf,aAAOX,QAAQ,CACVwB,IADE,GAEFJ,IAFE,CAEIK,OAAD,IAAa;AACnB,cAAMC,KAAK,GAAG,IAAIJ,yBAAJ,CAAiBG,OAAjB,EAA0Bd,MAA1B,EAAkC;AAC5CD,UAAAA,OAD4C;AAE5CI,UAAAA,OAAO,EAAEX;AAFmC,SAAlC,CAAd;;AAIA,YAAI;AACA,cAAIwB,YAAY,GAAGnB,IAAI,CAACoB,KAAL,CAAWF,KAAK,CAACD,OAAjB,CAAnB;AACAT,UAAAA,MAAM,CAACC,MAAP,CAAcS,KAAd,EAAqBC,YAArB;AACA,cAAIE,MAAM,GAAGF,YAAY,CAACE,MAA1B,CAHA;;AAKAH,UAAAA,KAAK,CAACD,OAAN,GACIC,KAAK,CAACD,OAAN,GAAgB,IAAhB,GAAuBI,MAAM,CAACC,GAAP,CAAWtB,IAAI,CAACC,SAAhB,EAA2BsB,IAA3B,CAAgC,IAAhC,CAD3B;AAEH,SAPD,CAQA,OAAOC,CAAP,EAAU;AAET;;AACD,cAAMN,KAAN;AACH,OAnBM,CAAP;AAoBH;;AACD,UAAMO,WAAW,GAAGjC,QAAQ,CAACU,OAAT,CAAiBwB,GAAjB,CAAqB,cAArB,CAApB;;AACA,QAAI,oBAAoBC,IAApB,CAAyBF,WAAzB,CAAJ,EAA2C;AACvC,aAAOjC,QAAQ,CAACoC,IAAT,EAAP;AACH;;AACD,QAAI,CAACH,WAAD,IAAgB,yBAAyBE,IAAzB,CAA8BF,WAA9B,CAApB,EAAgE;AAC5D,aAAOjC,QAAQ,CAACwB,IAAT,EAAP;AACH;;AACD,WAAOa,iBAAS,CAACrC,QAAD,CAAhB;AACH,GA7DM,EA8DFoB,IA9DE,CA8DIkB,IAAD,IAAU;AAChB,WAAO;AACH3B,MAAAA,MADG;AAEHC,MAAAA,GAFG;AAGHF,MAAAA,OAHG;AAIH4B,MAAAA;AAJG,KAAP;AAMH,GArEM,EAsEFC,KAtEE,CAsEKb,KAAD,IAAW;AAClB,QAAIA,KAAK,YAAYJ,yBAArB,EAAmC;AAC/B,YAAMI,KAAN;AACH;;AACD,UAAM,IAAIJ,yBAAJ,CAAiBI,KAAK,CAACD,OAAvB,EAAgC,GAAhC,EAAqC;AACvCf,MAAAA,OADuC;AAEvCI,MAAAA,OAAO,EAAEX;AAF8B,KAArC,CAAN;AAIH,GA9EM,CAAP;AA+EH;;AC3Fc,SAASqC,YAAT,CAAsBC,WAAtB,EAAmCC,WAAnC,EAAgD;AAC3D,QAAMC,QAAQ,GAAGF,WAAW,CAACG,QAAZ,CAAqBF,WAArB,CAAjB;;AACA,QAAMG,MAAM,GAAG,UAAUC,KAAV,EAAiBC,UAAjB,EAA6B;AACxC,UAAMC,eAAe,GAAGL,QAAQ,CAACM,KAAT,CAAeH,KAAf,EAAsBC,UAAtB,CAAxB;;AACA,QAAI,CAACC,eAAe,CAAClC,OAAjB,IAA4B,CAACkC,eAAe,CAAClC,OAAhB,CAAwBoC,IAAzD,EAA+D;AAC3D,aAAOhD,YAAY,CAACyC,QAAQ,CAACf,KAAT,CAAeoB,eAAf,CAAD,CAAnB;AACH;;AACD,UAAMlC,OAAO,GAAG,CAACgC,KAAD,EAAQC,UAAR,KAAuB;AACnC,aAAO7C,YAAY,CAACyC,QAAQ,CAACf,KAAT,CAAee,QAAQ,CAACM,KAAT,CAAeH,KAAf,EAAsBC,UAAtB,CAAf,CAAD,CAAnB;AACH,KAFD;;AAGA/B,IAAAA,MAAM,CAACC,MAAP,CAAcH,OAAd,EAAuB;AACnB6B,MAAAA,QADmB;AAEnBC,MAAAA,QAAQ,EAAEJ,YAAY,CAACW,IAAb,CAAkB,IAAlB,EAAwBR,QAAxB;AAFS,KAAvB;AAIA,WAAOK,eAAe,CAAClC,OAAhB,CAAwBoC,IAAxB,CAA6BpC,OAA7B,EAAsCkC,eAAtC,CAAP;AACH,GAbD;;AAcA,SAAOhC,MAAM,CAACC,MAAP,CAAc4B,MAAd,EAAsB;AACzBF,IAAAA,QADyB;AAEzBC,IAAAA,QAAQ,EAAEJ,YAAY,CAACW,IAAb,CAAkB,IAAlB,EAAwBR,QAAxB;AAFe,GAAtB,CAAP;AAIH;;MCjBY7B,OAAO,GAAG0B,YAAY,CAACG,iBAAD,EAAW;AAC1CjC,EAAAA,OAAO,EAAE;AACL,kBAAe,sBAAqBZ,OAAQ,IAAGsD,+BAAY,EAAG;AADzD;AADiC,CAAX,CAA5B;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/request/dist-src/fetch-wrapper.js b/node_modules/@octokit/request/dist-src/fetch-wrapper.js
index f2b80d7e0..5fef6e5fc 100644
--- a/node_modules/@octokit/request/dist-src/fetch-wrapper.js
+++ b/node_modules/@octokit/request/dist-src/fetch-wrapper.js
@@ -15,9 +15,9 @@ export default function fetchWrapper(requestOptions) {
         method: requestOptions.method,
         body: requestOptions.body,
         headers: requestOptions.headers,
-        redirect: requestOptions.redirect
+        redirect: requestOptions.redirect,
     }, requestOptions.request))
-        .then(response => {
+        .then((response) => {
         url = response.url;
         status = response.status;
         for (const keyAndValue of response.headers) {
@@ -26,35 +26,35 @@ export default function fetchWrapper(requestOptions) {
         if (status === 204 || status === 205) {
             return;
         }
-        // GitHub API returns 200 for HEAD requsets
+        // GitHub API returns 200 for HEAD requests
         if (requestOptions.method === "HEAD") {
             if (status < 400) {
                 return;
             }
             throw new RequestError(response.statusText, status, {
                 headers,
-                request: requestOptions
+                request: requestOptions,
             });
         }
         if (status === 304) {
             throw new RequestError("Not modified", status, {
                 headers,
-                request: requestOptions
+                request: requestOptions,
             });
         }
         if (status >= 400) {
             return response
                 .text()
-                .then(message => {
+                .then((message) => {
                 const error = new RequestError(message, status, {
                     headers,
-                    request: requestOptions
+                    request: requestOptions,
                 });
                 try {
                     let responseBody = JSON.parse(error.message);
                     Object.assign(error, responseBody);
                     let errors = responseBody.errors;
-                    // Assumption `errors` would always be in Array Fotmat
+                    // Assumption `errors` would always be in Array format
                     error.message =
                         error.message + ": " + errors.map(JSON.stringify).join(", ");
                 }
@@ -73,21 +73,21 @@ export default function fetchWrapper(requestOptions) {
         }
         return getBuffer(response);
     })
-        .then(data => {
+        .then((data) => {
         return {
             status,
             url,
             headers,
-            data
+            data,
         };
     })
-        .catch(error => {
+        .catch((error) => {
         if (error instanceof RequestError) {
             throw error;
         }
         throw new RequestError(error.message, 500, {
             headers,
-            request: requestOptions
+            request: requestOptions,
         });
     });
 }
diff --git a/node_modules/@octokit/request/dist-src/index.js b/node_modules/@octokit/request/dist-src/index.js
index 6a36142dc..2460e992c 100644
--- a/node_modules/@octokit/request/dist-src/index.js
+++ b/node_modules/@octokit/request/dist-src/index.js
@@ -4,6 +4,6 @@ import { VERSION } from "./version";
 import withDefaults from "./with-defaults";
 export const request = withDefaults(endpoint, {
     headers: {
-        "user-agent": `octokit-request.js/${VERSION} ${getUserAgent()}`
-    }
+        "user-agent": `octokit-request.js/${VERSION} ${getUserAgent()}`,
+    },
 });
diff --git a/node_modules/@octokit/request/dist-src/version.js b/node_modules/@octokit/request/dist-src/version.js
index 6250d76ef..37a8e689f 100644
--- a/node_modules/@octokit/request/dist-src/version.js
+++ b/node_modules/@octokit/request/dist-src/version.js
@@ -1 +1 @@
-export const VERSION = "5.3.1";
+export const VERSION = "5.4.7";
diff --git a/node_modules/@octokit/request/dist-src/with-defaults.js b/node_modules/@octokit/request/dist-src/with-defaults.js
index 8e44f46e4..e20642945 100644
--- a/node_modules/@octokit/request/dist-src/with-defaults.js
+++ b/node_modules/@octokit/request/dist-src/with-defaults.js
@@ -11,12 +11,12 @@ export default function withDefaults(oldEndpoint, newDefaults) {
         };
         Object.assign(request, {
             endpoint,
-            defaults: withDefaults.bind(null, endpoint)
+            defaults: withDefaults.bind(null, endpoint),
         });
         return endpointOptions.request.hook(request, endpointOptions);
     };
     return Object.assign(newApi, {
         endpoint,
-        defaults: withDefaults.bind(null, endpoint)
+        defaults: withDefaults.bind(null, endpoint),
     });
 }
diff --git a/node_modules/@octokit/request/dist-types/fetch-wrapper.d.ts b/node_modules/@octokit/request/dist-types/fetch-wrapper.d.ts
index 594bce612..4901c79e7 100644
--- a/node_modules/@octokit/request/dist-types/fetch-wrapper.d.ts
+++ b/node_modules/@octokit/request/dist-types/fetch-wrapper.d.ts
@@ -1,6 +1,6 @@
 import { EndpointInterface } from "@octokit/types";
 export default function fetchWrapper(requestOptions: ReturnType<EndpointInterface> & {
-    redirect?: string;
+    redirect?: "error" | "follow" | "manual";
 }): Promise<{
     status: number;
     url: string;
diff --git a/node_modules/@octokit/request/dist-types/index.d.ts b/node_modules/@octokit/request/dist-types/index.d.ts
index cb9c9bad0..1030809f9 100644
--- a/node_modules/@octokit/request/dist-types/index.d.ts
+++ b/node_modules/@octokit/request/dist-types/index.d.ts
@@ -1 +1 @@
-export declare const request: import("@octokit/types").RequestInterface;
+export declare const request: import("@octokit/types").RequestInterface<object>;
diff --git a/node_modules/@octokit/request/dist-types/version.d.ts b/node_modules/@octokit/request/dist-types/version.d.ts
index c32c7ab0a..0671088d7 100644
--- a/node_modules/@octokit/request/dist-types/version.d.ts
+++ b/node_modules/@octokit/request/dist-types/version.d.ts
@@ -1 +1 @@
-export declare const VERSION = "5.3.1";
+export declare const VERSION = "5.4.7";
diff --git a/node_modules/@octokit/request/dist-web/index.js b/node_modules/@octokit/request/dist-web/index.js
index 3f51926e4..7c54c1ffd 100644
--- a/node_modules/@octokit/request/dist-web/index.js
+++ b/node_modules/@octokit/request/dist-web/index.js
@@ -4,7 +4,7 @@ import isPlainObject from 'is-plain-object';
 import nodeFetch from 'node-fetch';
 import { RequestError } from '@octokit/request-error';
 
-const VERSION = "5.3.1";
+const VERSION = "5.4.7";
 
 function getBufferResponse(response) {
     return response.arrayBuffer();
@@ -23,9 +23,9 @@ function fetchWrapper(requestOptions) {
         method: requestOptions.method,
         body: requestOptions.body,
         headers: requestOptions.headers,
-        redirect: requestOptions.redirect
+        redirect: requestOptions.redirect,
     }, requestOptions.request))
-        .then(response => {
+        .then((response) => {
         url = response.url;
         status = response.status;
         for (const keyAndValue of response.headers) {
@@ -34,35 +34,35 @@ function fetchWrapper(requestOptions) {
         if (status === 204 || status === 205) {
             return;
         }
-        // GitHub API returns 200 for HEAD requsets
+        // GitHub API returns 200 for HEAD requests
         if (requestOptions.method === "HEAD") {
             if (status < 400) {
                 return;
             }
             throw new RequestError(response.statusText, status, {
                 headers,
-                request: requestOptions
+                request: requestOptions,
             });
         }
         if (status === 304) {
             throw new RequestError("Not modified", status, {
                 headers,
-                request: requestOptions
+                request: requestOptions,
             });
         }
         if (status >= 400) {
             return response
                 .text()
-                .then(message => {
+                .then((message) => {
                 const error = new RequestError(message, status, {
                     headers,
-                    request: requestOptions
+                    request: requestOptions,
                 });
                 try {
                     let responseBody = JSON.parse(error.message);
                     Object.assign(error, responseBody);
                     let errors = responseBody.errors;
-                    // Assumption `errors` would always be in Array Fotmat
+                    // Assumption `errors` would always be in Array format
                     error.message =
                         error.message + ": " + errors.map(JSON.stringify).join(", ");
                 }
@@ -81,21 +81,21 @@ function fetchWrapper(requestOptions) {
         }
         return getBufferResponse(response);
     })
-        .then(data => {
+        .then((data) => {
         return {
             status,
             url,
             headers,
-            data
+            data,
         };
     })
-        .catch(error => {
+        .catch((error) => {
         if (error instanceof RequestError) {
             throw error;
         }
         throw new RequestError(error.message, 500, {
             headers,
-            request: requestOptions
+            request: requestOptions,
         });
     });
 }
@@ -112,20 +112,20 @@ function withDefaults(oldEndpoint, newDefaults) {
         };
         Object.assign(request, {
             endpoint,
-            defaults: withDefaults.bind(null, endpoint)
+            defaults: withDefaults.bind(null, endpoint),
         });
         return endpointOptions.request.hook(request, endpointOptions);
     };
     return Object.assign(newApi, {
         endpoint,
-        defaults: withDefaults.bind(null, endpoint)
+        defaults: withDefaults.bind(null, endpoint),
     });
 }
 
 const request = withDefaults(endpoint, {
     headers: {
-        "user-agent": `octokit-request.js/${VERSION} ${getUserAgent()}`
-    }
+        "user-agent": `octokit-request.js/${VERSION} ${getUserAgent()}`,
+    },
 });
 
 export { request };
diff --git a/node_modules/@octokit/request/dist-web/index.js.map b/node_modules/@octokit/request/dist-web/index.js.map
index f4c308494..9e2cc2037 100644
--- a/node_modules/@octokit/request/dist-web/index.js.map
+++ b/node_modules/@octokit/request/dist-web/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/get-buffer-response.js","../dist-src/fetch-wrapper.js","../dist-src/with-defaults.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"5.3.1\";\n","export default function getBufferResponse(response) {\n    return response.arrayBuffer();\n}\n","import isPlainObject from \"is-plain-object\";\nimport nodeFetch from \"node-fetch\";\nimport { RequestError } from \"@octokit/request-error\";\nimport getBuffer from \"./get-buffer-response\";\nexport default function fetchWrapper(requestOptions) {\n    if (isPlainObject(requestOptions.body) ||\n        Array.isArray(requestOptions.body)) {\n        requestOptions.body = JSON.stringify(requestOptions.body);\n    }\n    let headers = {};\n    let status;\n    let url;\n    const fetch = (requestOptions.request && requestOptions.request.fetch) || nodeFetch;\n    return fetch(requestOptions.url, Object.assign({\n        method: requestOptions.method,\n        body: requestOptions.body,\n        headers: requestOptions.headers,\n        redirect: requestOptions.redirect\n    }, requestOptions.request))\n        .then(response => {\n        url = response.url;\n        status = response.status;\n        for (const keyAndValue of response.headers) {\n            headers[keyAndValue[0]] = keyAndValue[1];\n        }\n        if (status === 204 || status === 205) {\n            return;\n        }\n        // GitHub API returns 200 for HEAD requsets\n        if (requestOptions.method === \"HEAD\") {\n            if (status < 400) {\n                return;\n            }\n            throw new RequestError(response.statusText, status, {\n                headers,\n                request: requestOptions\n            });\n        }\n        if (status === 304) {\n            throw new RequestError(\"Not modified\", status, {\n                headers,\n                request: requestOptions\n            });\n        }\n        if (status >= 400) {\n            return response\n                .text()\n                .then(message => {\n                const error = new RequestError(message, status, {\n                    headers,\n                    request: requestOptions\n                });\n                try {\n                    let responseBody = JSON.parse(error.message);\n                    Object.assign(error, responseBody);\n                    let errors = responseBody.errors;\n                    // Assumption `errors` would always be in Array Fotmat\n                    error.message =\n                        error.message + \": \" + errors.map(JSON.stringify).join(\", \");\n                }\n                catch (e) {\n                    // ignore, see octokit/rest.js#684\n                }\n                throw error;\n            });\n        }\n        const contentType = response.headers.get(\"content-type\");\n        if (/application\\/json/.test(contentType)) {\n            return response.json();\n        }\n        if (!contentType || /^text\\/|charset=utf-8$/.test(contentType)) {\n            return response.text();\n        }\n        return getBuffer(response);\n    })\n        .then(data => {\n        return {\n            status,\n            url,\n            headers,\n            data\n        };\n    })\n        .catch(error => {\n        if (error instanceof RequestError) {\n            throw error;\n        }\n        throw new RequestError(error.message, 500, {\n            headers,\n            request: requestOptions\n        });\n    });\n}\n","import fetchWrapper from \"./fetch-wrapper\";\nexport default function withDefaults(oldEndpoint, newDefaults) {\n    const endpoint = oldEndpoint.defaults(newDefaults);\n    const newApi = function (route, parameters) {\n        const endpointOptions = endpoint.merge(route, parameters);\n        if (!endpointOptions.request || !endpointOptions.request.hook) {\n            return fetchWrapper(endpoint.parse(endpointOptions));\n        }\n        const request = (route, parameters) => {\n            return fetchWrapper(endpoint.parse(endpoint.merge(route, parameters)));\n        };\n        Object.assign(request, {\n            endpoint,\n            defaults: withDefaults.bind(null, endpoint)\n        });\n        return endpointOptions.request.hook(request, endpointOptions);\n    };\n    return Object.assign(newApi, {\n        endpoint,\n        defaults: withDefaults.bind(null, endpoint)\n    });\n}\n","import { endpoint } from \"@octokit/endpoint\";\nimport { getUserAgent } from \"universal-user-agent\";\nimport { VERSION } from \"./version\";\nimport withDefaults from \"./with-defaults\";\nexport const request = withDefaults(endpoint, {\n    headers: {\n        \"user-agent\": `octokit-request.js/${VERSION} ${getUserAgent()}`\n    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+{"version":3,"file":"index.js","sources":["../dist-src/version.js","../dist-src/get-buffer-response.js","../dist-src/fetch-wrapper.js","../dist-src/with-defaults.js","../dist-src/index.js"],"sourcesContent":["export const VERSION = \"5.4.7\";\n","export default function getBufferResponse(response) {\n    return response.arrayBuffer();\n}\n","import isPlainObject from \"is-plain-object\";\nimport nodeFetch from \"node-fetch\";\nimport { RequestError } from \"@octokit/request-error\";\nimport getBuffer from \"./get-buffer-response\";\nexport default function fetchWrapper(requestOptions) {\n    if (isPlainObject(requestOptions.body) ||\n        Array.isArray(requestOptions.body)) {\n        requestOptions.body = JSON.stringify(requestOptions.body);\n    }\n    let headers = {};\n    let status;\n    let url;\n    const fetch = (requestOptions.request && requestOptions.request.fetch) || nodeFetch;\n    return fetch(requestOptions.url, Object.assign({\n        method: 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   }\n        if (status >= 400) {\n            return response\n                .text()\n                .then((message) => {\n                const error = new RequestError(message, status, {\n                    headers,\n                    request: requestOptions,\n                });\n                try {\n                    let responseBody = JSON.parse(error.message);\n                    Object.assign(error, responseBody);\n                    let errors = responseBody.errors;\n                    // Assumption `errors` would always be in Array format\n                    error.message =\n                        error.message + \": \" + errors.map(JSON.stringify).join(\", \");\n                }\n                catch (e) {\n                    // ignore, see octokit/rest.js#684\n                }\n                throw error;\n            });\n        }\n        const contentType = response.headers.get(\"content-type\");\n        if (/application\\/json/.test(contentType)) 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},\n});\n"],"names":["getBuffer"],"mappings":";;;;;;AAAO,MAAM,OAAO,GAAG,mBAAmB;;ACA3B,SAAS,iBAAiB,CAAC,QAAQ,EAAE;AACpD,IAAI,OAAO,QAAQ,CAAC,WAAW,EAAE,CAAC;AAClC,CAAC;;ACEc,SAAS,YAAY,CAAC,cAAc,EAAE;AACrD,IAAI,IAAI,aAAa,CAAC,cAAc,CAAC,IAAI,CAAC;AAC1C,QAAQ,KAAK,CAAC,OAAO,CAAC,cAAc,CAAC,IAAI,CAAC,EAAE;AAC5C,QAAQ,cAAc,CAAC,IAAI,GAAG,IAAI,CAAC,SAAS,CAAC,cAAc,CAAC,IAAI,CAAC,CAAC;AAClE,KAAK;AACL,IAAI,IAAI,OAAO,GAAG,EAAE,CAAC;AACrB,IAAI,IAAI,MAAM,CAAC;AACf,IAAI,IAAI,GAAG,CAAC;AACZ,IAAI,MAAM,KAAK,GAAG,CAAC,cAAc,CAAC,OAAO,IAAI,cAAc,CAAC,OAAO,CAAC,KAAK,KAAK,SAAS,CAAC;AACxF,IAAI,OAAO,KAAK,CAAC,cAAc,CAAC,GAAG,EAAE,MAAM,CAAC,MAAM,CAAC;AACnD,QAAQ,MAAM,EAAE,cAAc,CAAC,MAAM;AACrC,QAAQ,IAAI,EAAE,cAAc,CAAC,IAAI;AACjC,QAAQ,OAAO,EAAE,cAAc,CAAC,OAAO;AACvC,QAAQ,QAAQ,EAAE,cAAc,CAAC,QAAQ;AACzC,KAAK,EAAE,cAAc,CAAC,OAAO,CAAC,CAAC;AAC/B,SAAS,IAAI,CAAC,CAAC,QAAQ,KAAK;AAC5B,QAAQ,GAAG,GAAG,QAAQ,CAAC,GAAG,CAAC;AAC3B,QAAQ,MAAM,GAAG,QAAQ,CAAC,MAAM,CAAC;AACjC,QAAQ,KAAK,MAAM,WAAW,IAAI,QAAQ,CAAC,OAAO,EAAE;AACpD,YAAY,OAAO,CAAC,WAAW,CAAC,CAAC,CAAC,CAAC,GAAG,WAAW,CAAC,CAAC,CAAC,CAAC;AACrD,SAAS;AACT,QAAQ,IAAI,MAAM,KAAK,GAAG,IAAI,MAAM,KAAK,GAAG,EAAE;AAC9C,YAAY,OAAO;AACnB,SAAS;AACT;AACA,QAAQ,IAAI,cAAc,CAAC,MAAM,KAAK,MAAM,EAAE;AAC9C,YAAY,IAAI,MAAM,GAAG,GAAG,EAAE;AAC9B,gBAAgB,OAAO;AACvB,aAAa;AACb,YAAY,MAAM,IAAI,YAAY,CAAC,QAAQ,CAAC,UAAU,EAAE,MAAM,EAAE;AAChE,gBAAgB,OAAO;AACvB,gBAAgB,OAAO,EAAE,cAAc;AACvC,aAAa,CAAC,CAAC;AACf,SAAS;AACT,QAAQ,IAAI,MAAM,KAAK,GAAG,EAAE;AAC5B,YAAY,MAAM,IAAI,YAAY,CAAC,cAAc,EAAE,MAAM,EAAE;AAC3D,gBAAgB,OAAO;AACvB,gBAAgB,OAAO,EAAE,cAAc;AACvC,aAAa,CAAC,CAAC;AACf,SAAS;AACT,QAAQ,IAAI,MAAM,IAAI,GAAG,EAAE;AAC3B,YAAY,OAAO,QAAQ;AAC3B,iBAAiB,IAAI,EAAE;AACvB,iBAAiB,IAAI,CAAC,CAAC,OAAO,KAAK;AACnC,gBAAgB,MAAM,KAAK,GAAG,IAAI,YAAY,CAAC,OAAO,EAAE,MAAM,EAAE;AAChE,oBAAoB,OAAO;AAC3B,oBAAoB,OAAO,EAAE,cAAc;AAC3C,iBAAiB,CAAC,CAAC;AACnB,gBAAgB,IAAI;AACpB,oBAAoB,IAAI,YAAY,GAAG,IAAI,CAAC,KAAK,CAAC,KAAK,CAAC,OAAO,CAAC,CAAC;AACjE,oBAAoB,MAAM,CAAC,MAAM,CAAC,KAAK,EAAE,YAAY,CAAC,CAAC;AACvD,oBAAoB,IAAI,MAAM,GAAG,YAAY,CAAC,MAAM,CAAC;AACrD;AACA,oBAAoB,KAAK,CAAC,OAAO;AACjC,wBAAwB,KAAK,CAAC,OAAO,GAAG,IAAI,GAAG,MAAM,CAAC,GAAG,CAAC,IAAI,CAAC,SAAS,CAAC,CAAC,IAAI,CAAC,IAAI,CAAC,CAAC;AACrF,iBAAiB;AACjB,gBAAgB,OAAO,CAAC,EAAE;AAC1B;AACA,iBAAiB;AACjB,gBAAgB,MAAM,KAAK,CAAC;AAC5B,aAAa,CAAC,CAAC;AACf,SAAS;AACT,QAAQ,MAAM,WAAW,GAAG,QAAQ,CAAC,OAAO,CAAC,GAAG,CAAC,cAAc,CAAC,CAAC;AACjE,QAAQ,IAAI,mBAAmB,CAAC,IAAI,CAAC,WAAW,CAAC,EAAE;AACnD,YAAY,OAAO,QAAQ,CAAC,IAAI,EAAE,CAAC;AACnC,SAAS;AACT,QAAQ,IAAI,CAAC,WAAW,IAAI,wBAAwB,CAAC,IAAI,CAAC,WAAW,CAAC,EAAE;AACxE,YAAY,OAAO,QAAQ,CAAC,IAAI,EAAE,CAAC;AACnC,SAAS;AACT,QAAQ,OAAOA,iBAAS,CAAC,QAAQ,CAAC,CAAC;AACnC,KAAK,CAAC;AACN,SAAS,IAAI,CAAC,CAAC,IAAI,KAAK;AACxB,QAAQ,OAAO;AACf,YAAY,MAAM;AAClB,YAAY,GAAG;AACf,YAAY,OAAO;AACnB,YAAY,IAAI;AAChB,SAAS,CAAC;AACV,KAAK,CAAC;AACN,SAAS,KAAK,CAAC,CAAC,KAAK,KAAK;AAC1B,QAAQ,IAAI,KAAK,YAAY,YAAY,EAAE;AAC3C,YAAY,MAAM,KAAK,CAAC;AACxB,SAAS;AACT,QAAQ,MAAM,IAAI,YAAY,CAAC,KAAK,CAAC,OAAO,EAAE,GAAG,EAAE;AACnD,YAAY,OAAO;AACnB,YAAY,OAAO,EAAE,cAAc;AACnC,SAAS,CAAC,CAAC;AACX,KAAK,CAAC,CAAC;AACP,CAAC;;AC3Fc,SAAS,YAAY,CAAC,WAAW,EAAE,WAAW,EAAE;AAC/D,IAAI,MAAM,QAAQ,GAAG,WAAW,CAAC,QAAQ,CAAC,WAAW,CAAC,CAAC;AACvD,IAAI,MAAM,MAAM,GAAG,UAAU,KAAK,EAAE,UAAU,EAAE;AAChD,QAAQ,MAAM,eAAe,GAAG,QAAQ,CAAC,KAAK,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC;AAClE,QAAQ,IAAI,CAAC,eAAe,CAAC,OAAO,IAAI,CAAC,eAAe,CAAC,OAAO,CAAC,IAAI,EAAE;AACvE,YAAY,OAAO,YAAY,CAAC,QAAQ,CAAC,KAAK,CAAC,eAAe,CAAC,CAAC,CAAC;AACjE,SAAS;AACT,QAAQ,MAAM,OAAO,GAAG,CAAC,KAAK,EAAE,UAAU,KAAK;AAC/C,YAAY,OAAO,YAAY,CAAC,QAAQ,CAAC,KAAK,CAAC,QAAQ,CAAC,KAAK,CAAC,KAAK,EAAE,UAAU,CAAC,CAAC,CAAC,CAAC;AACnF,SAAS,CAAC;AACV,QAAQ,MAAM,CAAC,MAAM,CAAC,OAAO,EAAE;AAC/B,YAAY,QAAQ;AACpB,YAAY,QAAQ,EAAE,YAAY,CAAC,IAAI,CAAC,IAAI,EAAE,QAAQ,CAAC;AACvD,SAAS,CAAC,CAAC;AACX,QAAQ,OAAO,eAAe,CAAC,OAAO,CAAC,IAAI,CAAC,OAAO,EAAE,eAAe,CAAC,CAAC;AACtE,KAAK,CAAC;AACN,IAAI,OAAO,MAAM,CAAC,MAAM,CAAC,MAAM,EAAE;AACjC,QAAQ,QAAQ;AAChB,QAAQ,QAAQ,EAAE,YAAY,CAAC,IAAI,CAAC,IAAI,EAAE,QAAQ,CAAC;AACnD,KAAK,CAAC,CAAC;AACP,CAAC;;ACjBW,MAAC,OAAO,GAAG,YAAY,CAAC,QAAQ,EAAE;AAC9C,IAAI,OAAO,EAAE;AACb,QAAQ,YAAY,EAAE,CAAC,mBAAmB,EAAE,OAAO,CAAC,CAAC,EAAE,YAAY,EAAE,CAAC,CAAC;AACvE,KAAK;AACL,CAAC,CAAC;;;;"}
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diff --git a/node_modules/@octokit/request/package.json b/node_modules/@octokit/request/package.json
index 27fbcbbb3..c5c6b6951 100644
--- a/node_modules/@octokit/request/package.json
+++ b/node_modules/@octokit/request/package.json
@@ -1,69 +1,68 @@
 {
   "_args": [
     [
-      "@octokit/request@5.3.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "@octokit/request@5.4.7",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@octokit/request@5.3.1",
-  "_id": "@octokit/request@5.3.1",
+  "_from": "@octokit/request@5.4.7",
+  "_id": "@octokit/request@5.4.7",
   "_inBundle": false,
-  "_integrity": "sha512-5/X0AL1ZgoU32fAepTfEoggFinO3rxsMLtzhlUX+RctLrusn/CApJuGFCd0v7GMFhF+8UiCsTTfsu7Fh1HnEJg==",
+  "_integrity": "sha512-FN22xUDP0i0uF38YMbOfx6TotpcENP5W8yJM1e/LieGXn6IoRxDMnBf7tx5RKSW4xuUZ/1P04NFZy5iY3Rax1A==",
   "_location": "/@octokit/request",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@octokit/request@5.3.1",
+    "raw": "@octokit/request@5.4.7",
     "name": "@octokit/request",
     "escapedName": "@octokit%2frequest",
     "scope": "@octokit",
-    "rawSpec": "5.3.1",
+    "rawSpec": "5.4.7",
     "saveSpec": null,
-    "fetchSpec": "5.3.1"
+    "fetchSpec": "5.4.7"
   },
   "_requiredBy": [
-    "/@octokit/graphql",
-    "/@octokit/rest"
+    "/@octokit/core",
+    "/@octokit/graphql"
   ],
-  "_resolved": "https://registry.npmjs.org/@octokit/request/-/request-5.3.1.tgz",
-  "_spec": "5.3.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@octokit/request/-/request-5.4.7.tgz",
+  "_spec": "5.4.7",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/octokit/request.js/issues"
   },
-  "deno": "dist-web/index.js",
   "dependencies": {
-    "@octokit/endpoint": "^5.5.0",
-    "@octokit/request-error": "^1.0.1",
-    "@octokit/types": "^2.0.0",
+    "@octokit/endpoint": "^6.0.1",
+    "@octokit/request-error": "^2.0.0",
+    "@octokit/types": "^5.0.0",
     "deprecation": "^2.0.0",
-    "is-plain-object": "^3.0.0",
+    "is-plain-object": "^4.0.0",
     "node-fetch": "^2.3.0",
     "once": "^1.4.0",
-    "universal-user-agent": "^4.0.0"
+    "universal-user-agent": "^6.0.0"
   },
   "description": "Send parameterized requests to GitHub’s APIs with sensible defaults in browsers and Node",
   "devDependencies": {
     "@octokit/auth-app": "^2.1.2",
     "@pika/pack": "^0.5.0",
-    "@pika/plugin-build-node": "^0.7.0",
-    "@pika/plugin-build-web": "^0.7.0",
-    "@pika/plugin-ts-standard-pkg": "^0.7.0",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
     "@types/fetch-mock": "^7.2.4",
-    "@types/jest": "^24.0.12",
-    "@types/lolex": "^3.1.1",
-    "@types/node": "^12.0.3",
+    "@types/jest": "^26.0.0",
+    "@types/lolex": "^5.1.0",
+    "@types/node": "^14.0.0",
     "@types/node-fetch": "^2.3.3",
     "@types/once": "^1.4.0",
-    "fetch-mock": "^7.2.0",
-    "jest": "^24.7.1",
-    "lolex": "^5.0.0",
-    "prettier": "^1.17.0",
-    "semantic-release": "^15.13.27",
+    "fetch-mock": "^9.3.1",
+    "jest": "^26.0.1",
+    "lolex": "^6.0.0",
+    "prettier": "^2.0.1",
+    "semantic-release": "^17.0.0",
     "semantic-release-plugin-update-version-in-files": "^1.0.0",
-    "ts-jest": "^24.0.2",
-    "typescript": "^3.4.5"
+    "ts-jest": "^26.1.0",
+    "typescript": "^3.9.5"
   },
   "files": [
     "dist-*/",
@@ -78,6 +77,7 @@
   ],
   "license": "MIT",
   "main": "dist-node/index.js",
+  "module": "dist-web/index.js",
   "name": "@octokit/request",
   "pika": true,
   "publishConfig": {
@@ -90,5 +90,5 @@
   "sideEffects": false,
   "source": "dist-src/index.js",
   "types": "dist-types/index.d.ts",
-  "version": "5.3.1"
+  "version": "5.4.7"
 }
diff --git a/node_modules/@octokit/rest/LICENSE b/node_modules/@octokit/rest/LICENSE
deleted file mode 100644
index 4c0d268a2..000000000
--- a/node_modules/@octokit/rest/LICENSE
+++ /dev/null
@@ -1,22 +0,0 @@
-The MIT License
-
-Copyright (c) 2012 Cloud9 IDE, Inc. (Mike de Boer)
-Copyright (c) 2017-2018 Octokit contributors
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in
-all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-THE SOFTWARE.
diff --git a/node_modules/@octokit/rest/README.md b/node_modules/@octokit/rest/README.md
deleted file mode 100644
index 2dd439704..000000000
--- a/node_modules/@octokit/rest/README.md
+++ /dev/null
@@ -1,46 +0,0 @@
-# rest.js
-
-> GitHub REST API client for JavaScript
-
-[![@latest](https://img.shields.io/npm/v/@octokit/rest.svg)](https://www.npmjs.com/package/@octokit/rest)
-![Build Status](https://github.com/octokit/rest.js/workflows/Test/badge.svg)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/rest.js.svg)](https://greenkeeper.io/)
-
-## Installation
-
-```shell
-npm install @octokit/rest
-```
-
-## Usage
-
-```js
-const { Octokit } = require("@octokit/rest");
-const octokit = new Octokit();
-
-// Compare: https://developer.github.com/v3/repos/#list-organization-repositories
-octokit.repos
-  .listForOrg({
-    org: "octokit",
-    type: "public"
-  })
-  .then(({ data }) => {
-    // handle data
-  });
-```
-
-See https://octokit.github.io/rest.js/ for full documentation.
-
-## Contributing
-
-We would love you to contribute to `@octokit/rest`, pull requests are very welcome! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for more information.
-
-## Credits
-
-`@octokit/rest` was originally created as [`node-github`](https://www.npmjs.com/package/github) in 2012 by Mike de Boer from Cloud9 IDE, Inc.
-
-It was adopted and renamed by GitHub in 2017
-
-## LICENSE
-
-[MIT](LICENSE)
diff --git a/node_modules/@octokit/rest/index.d.ts b/node_modules/@octokit/rest/index.d.ts
deleted file mode 100644
index 1da80b354..000000000
--- a/node_modules/@octokit/rest/index.d.ts
+++ /dev/null
@@ -1,42072 +0,0 @@
-/**
- * This file is generated based on https://github.com/octokit/routes/ & "npm run build:ts".
- *
- * DO NOT EDIT MANUALLY.
- */
-
-/**
- * This declaration file requires TypeScript 3.1 or above.
- */
-
-/// <reference lib="esnext.asynciterable" />
-
-import * as http from "http";
-
-declare namespace Octokit {
-  type json = any;
-  type date = string;
-
-  export interface Static {
-    plugin(plugin: Plugin): Static;
-    new (options?: Octokit.Options): Octokit;
-  }
-
-  export interface Response<T> {
-    /** This is the data you would see in https://developer.github.com/v3/ */
-    data: T;
-
-    /** Response status number */
-    status: number;
-
-    /** Response headers */
-    headers: {
-      date: string;
-      "x-ratelimit-limit": string;
-      "x-ratelimit-remaining": string;
-      "x-ratelimit-reset": string;
-      "x-Octokit-request-id": string;
-      "x-Octokit-media-type": string;
-      link: string;
-      "last-modified": string;
-      etag: string;
-      status: string;
-    };
-
-    [Symbol.iterator](): Iterator<any>;
-  }
-
-  export type AnyResponse = Response<any>;
-
-  export interface EmptyParams {}
-
-  export interface Options {
-    authStrategy?: any;
-    auth?:
-      | string
-      | { username: string; password: string; on2fa: () => Promise<string> }
-      | { clientId: string; clientSecret: string }
-      | { (): string | Promise<string> }
-      | any;
-    userAgent?: string;
-    previews?: string[];
-    baseUrl?: string;
-    log?: {
-      debug?: (message: string, info?: object) => void;
-      info?: (message: string, info?: object) => void;
-      warn?: (message: string, info?: object) => void;
-      error?: (message: string, info?: object) => void;
-    };
-    request?: {
-      agent?: http.Agent;
-      timeout?: number;
-    };
-    /**
-     * @deprecated Use {request: {timeout}} instead. See https://github.com/octokit/request.js#request
-     */
-    timeout?: number;
-    /**
-     * @deprecated Use {userAgent, previews} instead. See https://github.com/octokit/request.js#request
-     */
-    headers?: { [header: string]: any };
-    /**
-     * @deprecated Use {request: {agent}} instead. See https://github.com/octokit/request.js#request
-     */
-    agent?: http.Agent;
-    [option: string]: any;
-  }
-
-  export type RequestMethod =
-    | "DELETE"
-    | "GET"
-    | "HEAD"
-    | "PATCH"
-    | "POST"
-    | "PUT";
-
-  export interface EndpointOptions {
-    baseUrl?: string;
-    method?: RequestMethod;
-    url?: string;
-    headers?: { [header: string]: any };
-    data?: any;
-    request?: { [option: string]: any };
-    [parameter: string]: any;
-  }
-
-  export interface RequestOptions {
-    method?: RequestMethod;
-    url?: string;
-    headers?: RequestHeaders;
-    body?: any;
-    request?: OctokitRequestOptions;
-    /**
-     * Media type options, see {@link https://developer.github.com/v3/media/|GitHub Developer Guide}
-     */
-    mediaType?: {
-      /**
-       * `json` by default. Can be `raw`, `text`, `html`, `full`, `diff`, `patch`, `sha`, `base64`. Depending on endpoint
-       */
-      format?: string;
-
-      /**
-       * Custom media type names of {@link https://developer.github.com/v3/media/|API Previews} without the `-preview` suffix.
-       * Example for single preview: `['squirrel-girl']`.
-       * Example for multiple previews: `['squirrel-girl', 'mister-fantastic']`.
-       */
-      previews?: string[];
-    };
-  }
-
-  export type RequestHeaders = {
-    /**
-     * Avoid setting `accept`, use `mediaFormat.{format|previews}` instead.
-     */
-    accept?: string;
-    /**
-     * Use `authorization` to send authenticated request, remember `token ` / `bearer ` prefixes. Example: `token 1234567890abcdef1234567890abcdef12345678`
-     */
-    authorization?: string;
-    /**
-     * `user-agent` is set do a default and can be overwritten as needed.
-     */
-    "user-agent"?: string;
-
-    [header: string]: string | number | undefined;
-  };
-
-  export type OctokitRequestOptions = {
-    /**
-     * Node only. Useful for custom proxy, certificate, or dns lookup.
-     */
-    agent?: http.Agent;
-    /**
-     * Custom replacement for built-in fetch method. Useful for testing or request hooks.
-     */
-    fetch?: any;
-    /**
-     * Use an `AbortController` instance to cancel a request. In node you can only cancel streamed requests.
-     */
-    signal?: any;
-    /**
-     * Node only. Request/response timeout in ms, it resets on redirect. 0 to disable (OS limit applies). `options.request.signal` is recommended instead.
-     */
-    timeout?: number;
-
-    [option: string]: any;
-  };
-
-  export interface Log {
-    debug: (message: string, additionalInfo?: object) => void;
-    info: (message: string, additionalInfo?: object) => void;
-    warn: (message: string, additionalInfo?: object) => void;
-    error: (message: string, additionalInfo?: object) => void;
-  }
-
-  export interface Endpoint {
-    (
-      Route: string,
-      EndpointOptions?: Octokit.EndpointOptions
-    ): Octokit.RequestOptions;
-    (EndpointOptions: Octokit.EndpointOptions): Octokit.RequestOptions;
-    /**
-     * Current default options
-     */
-    DEFAULTS: Octokit.EndpointOptions;
-    /**
-     * Get the defaulted endpoint options, but without parsing them into request options:
-     */
-    merge(
-      Route: string,
-      EndpointOptions?: Octokit.EndpointOptions
-    ): Octokit.RequestOptions;
-    merge(EndpointOptions: Octokit.EndpointOptions): Octokit.RequestOptions;
-    /**
-     * Stateless method to turn endpoint options into request options. Calling endpoint(options) is the same as calling endpoint.parse(endpoint.merge(options)).
-     */
-    parse(EndpointOptions: Octokit.EndpointOptions): Octokit.RequestOptions;
-    /**
-     * Merges existing defaults with passed options and returns new endpoint() method with new defaults
-     */
-    defaults(EndpointOptions: Octokit.EndpointOptions): Octokit.Endpoint;
-  }
-
-  export interface Request {
-    (Route: string, EndpointOptions?: Octokit.EndpointOptions): Promise<
-      Octokit.AnyResponse
-    >;
-    (EndpointOptions: Octokit.EndpointOptions): Promise<Octokit.AnyResponse>;
-    endpoint: Octokit.Endpoint;
-  }
-
-  export interface AuthBasic {
-    type: "basic";
-    username: string;
-    password: string;
-  }
-
-  export interface AuthOAuthToken {
-    type: "oauth";
-    token: string;
-  }
-
-  export interface AuthOAuthSecret {
-    type: "oauth";
-    key: string;
-    secret: string;
-  }
-
-  export interface AuthUserToken {
-    type: "token";
-    token: string;
-  }
-
-  export interface AuthJWT {
-    type: "app";
-    token: string;
-  }
-
-  export type Link = { link: string } | { headers: { link: string } } | string;
-
-  export interface Callback<T> {
-    (error: Error | null, result: T): any;
-  }
-
-  export type Plugin = (octokit: Octokit, options: Octokit.Options) => void;
-
-  // See https://github.com/octokit/request.js#request
-  export type HookOptions = {
-    baseUrl: string;
-    headers: { [header: string]: string };
-    method: string;
-    url: string;
-    data: any;
-    // See https://github.com/bitinn/node-fetch#options
-    request: {
-      follow?: number;
-      timeout?: number;
-      compress?: boolean;
-      size?: number;
-      agent?: string | null;
-    };
-    [index: string]: any;
-  };
-
-  export type HookError = Error & {
-    status: number;
-    headers: { [header: string]: string };
-    documentation_url?: string;
-    errors?: [
-      {
-        resource: string;
-        field: string;
-        code: string;
-      }
-    ];
-  };
-
-  export interface Paginate {
-    (
-      Route: string,
-      EndpointOptions?: Octokit.EndpointOptions,
-      callback?: (response: Octokit.AnyResponse, done: () => void) => any
-    ): Promise<any[]>;
-    (
-      EndpointOptions: Octokit.EndpointOptions,
-      callback?: (response: Octokit.AnyResponse, done: () => void) => any
-    ): Promise<any[]>;
-    iterator: (
-      EndpointOptions: Octokit.EndpointOptions
-    ) => AsyncIterableIterator<Octokit.AnyResponse>;
-  }
-
-  // response types
-  type UsersUpdateAuthenticatedResponsePlan = {
-    collaborators: number;
-    name: string;
-    private_repos: number;
-    space: number;
-  };
-  type UsersUpdateAuthenticatedResponse = {
-    avatar_url: string;
-    bio: string;
-    blog: string;
-    collaborators: number;
-    company: string;
-    created_at: string;
-    disk_usage: number;
-    email: string;
-    events_url: string;
-    followers: number;
-    followers_url: string;
-    following: number;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    hireable: boolean;
-    html_url: string;
-    id: number;
-    location: string;
-    login: string;
-    name: string;
-    node_id: string;
-    organizations_url: string;
-    owned_private_repos: number;
-    plan: UsersUpdateAuthenticatedResponsePlan;
-    private_gists: number;
-    public_gists: number;
-    public_repos: number;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    total_private_repos: number;
-    two_factor_authentication: boolean;
-    type: string;
-    updated_at: string;
-    url: string;
-  };
-  type UsersTogglePrimaryEmailVisibilityResponseItem = {
-    email: string;
-    primary: boolean;
-    verified: boolean;
-    visibility: string;
-  };
-  type UsersListPublicKeysForUserResponseItem = { id: number; key: string };
-  type UsersListPublicKeysResponseItem = { key: string; key_id: string };
-  type UsersListPublicEmailsResponseItem = {
-    email: string;
-    primary: boolean;
-    verified: boolean;
-    visibility: string;
-  };
-  type UsersListGpgKeysForUserResponseItemSubkeysItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<any>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: number;
-    public_key: string;
-    subkeys: Array<any>;
-  };
-  type UsersListGpgKeysForUserResponseItemEmailsItem = {
-    email: string;
-    verified: boolean;
-  };
-  type UsersListGpgKeysForUserResponseItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<UsersListGpgKeysForUserResponseItemEmailsItem>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: null;
-    public_key: string;
-    subkeys: Array<UsersListGpgKeysForUserResponseItemSubkeysItem>;
-  };
-  type UsersListGpgKeysResponseItemSubkeysItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<any>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: number;
-    public_key: string;
-    subkeys: Array<any>;
-  };
-  type UsersListGpgKeysResponseItemEmailsItem = {
-    email: string;
-    verified: boolean;
-  };
-  type UsersListGpgKeysResponseItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<UsersListGpgKeysResponseItemEmailsItem>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: null;
-    public_key: string;
-    subkeys: Array<UsersListGpgKeysResponseItemSubkeysItem>;
-  };
-  type UsersListFollowingForUserResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type UsersListFollowingForAuthenticatedUserResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type UsersListFollowersForUserResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type UsersListFollowersForAuthenticatedUserResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type UsersListEmailsResponseItem = {
-    email: string;
-    primary: boolean;
-    verified: boolean;
-    visibility: string;
-  };
-  type UsersListBlockedResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type UsersListResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type UsersGetPublicKeyResponse = { key: string; key_id: string };
-  type UsersGetGpgKeyResponseSubkeysItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<any>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: number;
-    public_key: string;
-    subkeys: Array<any>;
-  };
-  type UsersGetGpgKeyResponseEmailsItem = { email: string; verified: boolean };
-  type UsersGetGpgKeyResponse = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<UsersGetGpgKeyResponseEmailsItem>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: null;
-    public_key: string;
-    subkeys: Array<UsersGetGpgKeyResponseSubkeysItem>;
-  };
-  type UsersGetContextForUserResponseContextsItem = {
-    message: string;
-    octicon: string;
-  };
-  type UsersGetContextForUserResponse = {
-    contexts: Array<UsersGetContextForUserResponseContextsItem>;
-  };
-  type UsersGetByUsernameResponsePlan = {
-    collaborators: number;
-    name: string;
-    private_repos: number;
-    space: number;
-  };
-  type UsersGetByUsernameResponse = {
-    avatar_url: string;
-    bio: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    followers_url: string;
-    following: number;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    hireable: boolean;
-    html_url: string;
-    id: number;
-    location: string;
-    login: string;
-    name: string;
-    node_id: string;
-    organizations_url: string;
-    public_gists: number;
-    public_repos: number;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-    plan?: UsersGetByUsernameResponsePlan;
-  };
-  type UsersGetAuthenticatedResponsePlan = {
-    collaborators: number;
-    name: string;
-    private_repos: number;
-    space: number;
-  };
-  type UsersGetAuthenticatedResponse = {
-    avatar_url: string;
-    bio: string;
-    blog: string;
-    collaborators?: number;
-    company: string;
-    created_at: string;
-    disk_usage?: number;
-    email: string;
-    events_url: string;
-    followers: number;
-    followers_url: string;
-    following: number;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    hireable: boolean;
-    html_url: string;
-    id: number;
-    location: string;
-    login: string;
-    name: string;
-    node_id: string;
-    organizations_url: string;
-    owned_private_repos?: number;
-    plan?: UsersGetAuthenticatedResponsePlan;
-    private_gists?: number;
-    public_gists: number;
-    public_repos: number;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    total_private_repos?: number;
-    two_factor_authentication?: boolean;
-    type: string;
-    updated_at: string;
-    url: string;
-  };
-  type UsersCreatePublicKeyResponse = { key: string; key_id: string };
-  type UsersCreateGpgKeyResponseSubkeysItem = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<any>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: number;
-    public_key: string;
-    subkeys: Array<any>;
-  };
-  type UsersCreateGpgKeyResponseEmailsItem = {
-    email: string;
-    verified: boolean;
-  };
-  type UsersCreateGpgKeyResponse = {
-    can_certify: boolean;
-    can_encrypt_comms: boolean;
-    can_encrypt_storage: boolean;
-    can_sign: boolean;
-    created_at: string;
-    emails: Array<UsersCreateGpgKeyResponseEmailsItem>;
-    expires_at: null;
-    id: number;
-    key_id: string;
-    primary_key_id: null;
-    public_key: string;
-    subkeys: Array<UsersCreateGpgKeyResponseSubkeysItem>;
-  };
-  type UsersAddEmailsResponseItem = {
-    email: string;
-    primary: boolean;
-    verified: boolean;
-    visibility: string | null;
-  };
-  type TeamsUpdateLegacyResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateLegacyResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsUpdateLegacyResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsUpdateInOrgResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateInOrgResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsUpdateInOrgResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsUpdateDiscussionLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionLegacyResponse = {
-    author: TeamsUpdateDiscussionLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsUpdateDiscussionLegacyResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsUpdateDiscussionInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionInOrgResponse = {
-    author: TeamsUpdateDiscussionInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsUpdateDiscussionInOrgResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentLegacyResponse = {
-    author: TeamsUpdateDiscussionCommentLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    reactions: TeamsUpdateDiscussionCommentLegacyResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentInOrgResponse = {
-    author: TeamsUpdateDiscussionCommentInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    reactions: TeamsUpdateDiscussionCommentInOrgResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionCommentResponse = {
-    author: TeamsUpdateDiscussionCommentResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    reactions: TeamsUpdateDiscussionCommentResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsUpdateDiscussionResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateDiscussionResponse = {
-    author: TeamsUpdateDiscussionResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: string;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsUpdateDiscussionResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsUpdateResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsUpdateResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsUpdateResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsReviewProjectLegacyResponsePermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-  };
-  type TeamsReviewProjectLegacyResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsReviewProjectLegacyResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsReviewProjectLegacyResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsReviewProjectLegacyResponsePermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsReviewProjectInOrgResponsePermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-  };
-  type TeamsReviewProjectInOrgResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsReviewProjectInOrgResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsReviewProjectInOrgResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsReviewProjectInOrgResponsePermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsReviewProjectResponsePermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-  };
-  type TeamsReviewProjectResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsReviewProjectResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsReviewProjectResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsReviewProjectResponsePermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListReposLegacyResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type TeamsListReposLegacyResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListReposLegacyResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type TeamsListReposLegacyResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: TeamsListReposLegacyResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsListReposLegacyResponseItemOwner;
-    permissions: TeamsListReposLegacyResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type TeamsListReposInOrgResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type TeamsListReposInOrgResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListReposInOrgResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type TeamsListReposInOrgResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: TeamsListReposInOrgResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsListReposInOrgResponseItemOwner;
-    permissions: TeamsListReposInOrgResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type TeamsListReposResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type TeamsListReposResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListReposResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type TeamsListReposResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: TeamsListReposResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsListReposResponseItemOwner;
-    permissions: TeamsListReposResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type TeamsListProjectsLegacyResponseItemPermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-  };
-  type TeamsListProjectsLegacyResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListProjectsLegacyResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsListProjectsLegacyResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsListProjectsLegacyResponseItemPermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListProjectsInOrgResponseItemPermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-  };
-  type TeamsListProjectsInOrgResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListProjectsInOrgResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsListProjectsInOrgResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsListProjectsInOrgResponseItemPermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListProjectsResponseItemPermissions = {
-    admin: boolean;
-    read: boolean;
-    write: boolean;
-  };
-  type TeamsListProjectsResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListProjectsResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: TeamsListProjectsResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    organization_permission: string;
-    owner_url: string;
-    permissions: TeamsListProjectsResponseItemPermissions;
-    private: boolean;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListPendingInvitationsLegacyResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListPendingInvitationsLegacyResponseItem = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: TeamsListPendingInvitationsLegacyResponseItemInviter;
-    login: string;
-    role: string;
-    team_count: number;
-  };
-  type TeamsListPendingInvitationsInOrgResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListPendingInvitationsInOrgResponseItem = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: TeamsListPendingInvitationsInOrgResponseItemInviter;
-    login: string;
-    role: string;
-    team_count: number;
-  };
-  type TeamsListPendingInvitationsResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListPendingInvitationsResponseItem = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: TeamsListPendingInvitationsResponseItemInviter;
-    login: string;
-    role: string;
-    team_count: number;
-  };
-  type TeamsListMembersLegacyResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListMembersInOrgResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListMembersResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListForAuthenticatedUserResponseItemOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListForAuthenticatedUserResponseItem = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsListForAuthenticatedUserResponseItemOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListDiscussionsLegacyResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsListDiscussionsLegacyResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListDiscussionsLegacyResponseItem = {
-    author: TeamsListDiscussionsLegacyResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsListDiscussionsLegacyResponseItemReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListDiscussionsInOrgResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsListDiscussionsInOrgResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListDiscussionsInOrgResponseItem = {
-    author: TeamsListDiscussionsInOrgResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsListDiscussionsInOrgResponseItemReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListDiscussionsResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsListDiscussionsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListDiscussionsResponseItem = {
-    author: TeamsListDiscussionsResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsListDiscussionsResponseItemReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsLegacyResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsLegacyResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsLegacyResponseItem = {
-    author: TeamsListDiscussionCommentsLegacyResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsListDiscussionCommentsLegacyResponseItemReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsInOrgResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsInOrgResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsInOrgResponseItem = {
-    author: TeamsListDiscussionCommentsInOrgResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsListDiscussionCommentsInOrgResponseItemReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsResponseItemReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsListDiscussionCommentsResponseItem = {
-    author: TeamsListDiscussionCommentsResponseItemAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsListDiscussionCommentsResponseItemReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsListChildLegacyResponseItemParent = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type TeamsListChildLegacyResponseItem = {
-    description: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: TeamsListChildLegacyResponseItemParent;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type TeamsListChildInOrgResponseItemParent = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type TeamsListChildInOrgResponseItem = {
-    description: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: TeamsListChildInOrgResponseItemParent;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type TeamsListChildResponseItemParent = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type TeamsListChildResponseItem = {
-    description: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: TeamsListChildResponseItemParent;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type TeamsListResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type TeamsGetMembershipLegacyResponse = {
-    role: string;
-    state: string;
-    url: string;
-  };
-  type TeamsGetMembershipInOrgResponse = {
-    role: string;
-    state: string;
-    url: string;
-  };
-  type TeamsGetMembershipResponse = {
-    role: string;
-    state: string;
-    url: string;
-  };
-  type TeamsGetLegacyResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetLegacyResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsGetLegacyResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsGetDiscussionLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsGetDiscussionLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetDiscussionLegacyResponse = {
-    author: TeamsGetDiscussionLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsGetDiscussionLegacyResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsGetDiscussionInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsGetDiscussionInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetDiscussionInOrgResponse = {
-    author: TeamsGetDiscussionInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsGetDiscussionInOrgResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentLegacyResponse = {
-    author: TeamsGetDiscussionCommentLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsGetDiscussionCommentLegacyResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentInOrgResponse = {
-    author: TeamsGetDiscussionCommentInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsGetDiscussionCommentInOrgResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetDiscussionCommentResponse = {
-    author: TeamsGetDiscussionCommentResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsGetDiscussionCommentResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsGetDiscussionResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsGetDiscussionResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetDiscussionResponse = {
-    author: TeamsGetDiscussionResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsGetDiscussionResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsGetByNameResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetByNameResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsGetByNameResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsGetResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsGetResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsGetResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsCreateDiscussionLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionLegacyResponse = {
-    author: TeamsCreateDiscussionLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsCreateDiscussionLegacyResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsCreateDiscussionInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionInOrgResponse = {
-    author: TeamsCreateDiscussionInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsCreateDiscussionInOrgResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentLegacyResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentLegacyResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentLegacyResponse = {
-    author: TeamsCreateDiscussionCommentLegacyResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsCreateDiscussionCommentLegacyResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentInOrgResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentInOrgResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentInOrgResponse = {
-    author: TeamsCreateDiscussionCommentInOrgResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsCreateDiscussionCommentInOrgResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionCommentResponse = {
-    author: TeamsCreateDiscussionCommentResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    created_at: string;
-    discussion_url: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    reactions: TeamsCreateDiscussionCommentResponseReactions;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionResponseReactions = {
-    "+1": number;
-    "-1": number;
-    confused: number;
-    heart: number;
-    hooray: number;
-    laugh: number;
-    total_count: number;
-    url: string;
-  };
-  type TeamsCreateDiscussionResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCreateDiscussionResponse = {
-    author: TeamsCreateDiscussionResponseAuthor;
-    body: string;
-    body_html: string;
-    body_version: string;
-    comments_count: number;
-    comments_url: string;
-    created_at: string;
-    html_url: string;
-    last_edited_at: null;
-    node_id: string;
-    number: number;
-    pinned: boolean;
-    private: boolean;
-    reactions: TeamsCreateDiscussionResponseReactions;
-    team_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsCreateResponseOrganization = {
-    avatar_url: string;
-    blog: string;
-    company: string;
-    created_at: string;
-    description: string;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_url: string;
-    name: string;
-    node_id: string;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCreateResponse = {
-    created_at: string;
-    description: string;
-    html_url: string;
-    id: number;
-    members_count: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    organization: TeamsCreateResponseOrganization;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repos_count: number;
-    repositories_url: string;
-    slug: string;
-    updated_at: string;
-    url: string;
-  };
-  type TeamsCheckManagesRepoLegacyResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type TeamsCheckManagesRepoLegacyResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCheckManagesRepoLegacyResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsCheckManagesRepoLegacyResponseOwner;
-    permissions: TeamsCheckManagesRepoLegacyResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type TeamsCheckManagesRepoInOrgResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type TeamsCheckManagesRepoInOrgResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCheckManagesRepoInOrgResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsCheckManagesRepoInOrgResponseOwner;
-    permissions: TeamsCheckManagesRepoInOrgResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type TeamsCheckManagesRepoResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type TeamsCheckManagesRepoResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type TeamsCheckManagesRepoResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: TeamsCheckManagesRepoResponseOwner;
-    permissions: TeamsCheckManagesRepoResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type TeamsAddOrUpdateProjectLegacyResponse = {
-    documentation_url: string;
-    message: string;
-  };
-  type TeamsAddOrUpdateProjectInOrgResponse = {
-    documentation_url: string;
-    message: string;
-  };
-  type TeamsAddOrUpdateProjectResponse = {
-    documentation_url: string;
-    message: string;
-  };
-  type TeamsAddOrUpdateMembershipLegacyResponse = {
-    role: string;
-    state: string;
-    url: string;
-  };
-  type TeamsAddOrUpdateMembershipInOrgResponse = {
-    role: string;
-    state: string;
-    url: string;
-  };
-  type TeamsAddOrUpdateMembershipResponse = {
-    role: string;
-    state: string;
-    url: string;
-  };
-  type TeamsAddMemberLegacyResponseErrorsItem = {
-    code: string;
-    field: string;
-    resource: string;
-  };
-  type TeamsAddMemberLegacyResponse = {
-    errors: Array<TeamsAddMemberLegacyResponseErrorsItem>;
-    message: string;
-  };
-  type TeamsAddMemberResponseErrorsItem = {
-    code: string;
-    field: string;
-    resource: string;
-  };
-  type TeamsAddMemberResponse = {
-    errors: Array<TeamsAddMemberResponseErrorsItem>;
-    message: string;
-  };
-  type SearchUsersLegacyResponseUsersItem = {
-    created: string;
-    created_at: string;
-    followers: number;
-    followers_count: number;
-    fullname: string;
-    gravatar_id: string;
-    id: string;
-    language: string;
-    location: string;
-    login: string;
-    name: string;
-    public_repo_count: number;
-    repos: number;
-    score: number;
-    type: string;
-    username: string;
-  };
-  type SearchUsersLegacyResponse = {
-    users: Array<SearchUsersLegacyResponseUsersItem>;
-  };
-  type SearchUsersResponseItemsItem = {
-    avatar_url: string;
-    followers_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    score: number;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type SearchUsersResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchUsersResponseItemsItem>;
-    total_count: number;
-  };
-  type SearchTopicsResponseItemsItem = {
-    created_at: string;
-    created_by: string;
-    curated: boolean;
-    description: string;
-    display_name: string;
-    featured: boolean;
-    name: string;
-    released: string;
-    score: number;
-    short_description: string;
-    updated_at: string;
-  };
-  type SearchTopicsResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchTopicsResponseItemsItem>;
-    total_count: number;
-  };
-  type SearchReposLegacyResponseRepositoriesItem = {
-    created: string;
-    created_at: string;
-    description: string;
-    followers: number;
-    fork: boolean;
-    forks: number;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    language: string;
-    name: string;
-    open_issues: number;
-    owner: string;
-    private: boolean;
-    pushed: string;
-    pushed_at: string;
-    score: number;
-    size: number;
-    type: string;
-    url: string;
-    username: string;
-    watchers: number;
-  };
-  type SearchReposLegacyResponse = {
-    repositories: Array<SearchReposLegacyResponseRepositoriesItem>;
-  };
-  type SearchReposResponseItemsItemOwner = {
-    avatar_url: string;
-    gravatar_id: string;
-    id: number;
-    login: string;
-    node_id: string;
-    received_events_url: string;
-    type: string;
-    url: string;
-  };
-  type SearchReposResponseItemsItem = {
-    created_at: string;
-    default_branch: string;
-    description: string;
-    fork: boolean;
-    forks_count: number;
-    full_name: string;
-    homepage: string;
-    html_url: string;
-    id: number;
-    language: string;
-    master_branch: string;
-    name: string;
-    node_id: string;
-    open_issues_count: number;
-    owner: SearchReposResponseItemsItemOwner;
-    private: boolean;
-    pushed_at: string;
-    score: number;
-    size: number;
-    stargazers_count: number;
-    updated_at: string;
-    url: string;
-    watchers_count: number;
-  };
-  type SearchReposResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchReposResponseItemsItem>;
-    total_count: number;
-  };
-  type SearchLabelsResponseItemsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    score: number;
-    url: string;
-  };
-  type SearchLabelsResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchLabelsResponseItemsItem>;
-    total_count: number;
-  };
-  type SearchIssuesLegacyResponseIssuesItem = {
-    body: string;
-    comments: number;
-    created_at: string;
-    gravatar_id: string;
-    html_url: string;
-    labels: Array<string>;
-    number: number;
-    position: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    user: string;
-    votes: number;
-  };
-  type SearchIssuesLegacyResponse = {
-    issues: Array<SearchIssuesLegacyResponseIssuesItem>;
-  };
-  type SearchIssuesAndPullRequestsResponseItemsItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type SearchIssuesAndPullRequestsResponseItemsItemPullRequest = {
-    diff_url: null;
-    html_url: null;
-    patch_url: null;
-  };
-  type SearchIssuesAndPullRequestsResponseItemsItemLabelsItem = {
-    color: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type SearchIssuesAndPullRequestsResponseItemsItem = {
-    assignee: null;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<SearchIssuesAndPullRequestsResponseItemsItemLabelsItem>;
-    labels_url: string;
-    milestone: null;
-    node_id: string;
-    number: number;
-    pull_request: SearchIssuesAndPullRequestsResponseItemsItemPullRequest;
-    repository_url: string;
-    score: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: SearchIssuesAndPullRequestsResponseItemsItemUser;
-  };
-  type SearchIssuesAndPullRequestsResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchIssuesAndPullRequestsResponseItemsItem>;
-    total_count: number;
-  };
-  type SearchIssuesResponseItemsItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type SearchIssuesResponseItemsItemPullRequest = {
-    diff_url: null;
-    html_url: null;
-    patch_url: null;
-  };
-  type SearchIssuesResponseItemsItemLabelsItem = {
-    color: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type SearchIssuesResponseItemsItem = {
-    assignee: null;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<SearchIssuesResponseItemsItemLabelsItem>;
-    labels_url: string;
-    milestone: null;
-    node_id: string;
-    number: number;
-    pull_request: SearchIssuesResponseItemsItemPullRequest;
-    repository_url: string;
-    score: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: SearchIssuesResponseItemsItemUser;
-  };
-  type SearchIssuesResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchIssuesResponseItemsItem>;
-    total_count: number;
-  };
-  type SearchEmailLegacyResponseUser = {
-    blog: string;
-    company: string;
-    created: string;
-    created_at: string;
-    email: string;
-    followers_count: number;
-    following_count: number;
-    gravatar_id: string;
-    id: number;
-    location: string;
-    login: string;
-    name: string;
-    public_gist_count: number;
-    public_repo_count: number;
-    type: string;
-  };
-  type SearchEmailLegacyResponse = { user: SearchEmailLegacyResponseUser };
-  type SearchCommitsResponseItemsItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type SearchCommitsResponseItemsItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: SearchCommitsResponseItemsItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type SearchCommitsResponseItemsItemParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-  };
-  type SearchCommitsResponseItemsItemCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type SearchCommitsResponseItemsItemCommitTree = { sha: string; url: string };
-  type SearchCommitsResponseItemsItemCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type SearchCommitsResponseItemsItemCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type SearchCommitsResponseItemsItemCommit = {
-    author: SearchCommitsResponseItemsItemCommitAuthor;
-    comment_count: number;
-    committer: SearchCommitsResponseItemsItemCommitCommitter;
-    message: string;
-    tree: SearchCommitsResponseItemsItemCommitTree;
-    url: string;
-  };
-  type SearchCommitsResponseItemsItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type SearchCommitsResponseItemsItem = {
-    author: SearchCommitsResponseItemsItemAuthor;
-    comments_url: string;
-    commit: SearchCommitsResponseItemsItemCommit;
-    committer: SearchCommitsResponseItemsItemCommitter;
-    html_url: string;
-    parents: Array<SearchCommitsResponseItemsItemParentsItem>;
-    repository: SearchCommitsResponseItemsItemRepository;
-    score: number;
-    sha: string;
-    url: string;
-  };
-  type SearchCommitsResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchCommitsResponseItemsItem>;
-    total_count: number;
-  };
-  type SearchCodeResponseItemsItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type SearchCodeResponseItemsItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: SearchCodeResponseItemsItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type SearchCodeResponseItemsItem = {
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    repository: SearchCodeResponseItemsItemRepository;
-    score: number;
-    sha: string;
-    url: string;
-  };
-  type SearchCodeResponse = {
-    incomplete_results: boolean;
-    items: Array<SearchCodeResponseItemsItem>;
-    total_count: number;
-  };
-  type ReposUploadReleaseAssetResponseValueUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUploadReleaseAssetResponseValue = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposUploadReleaseAssetResponseValueUploader;
-    url: string;
-  };
-  type ReposUploadReleaseAssetResponse = {
-    value: ReposUploadReleaseAssetResponseValue;
-  };
-  type ReposUpdateReleaseAssetResponseUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateReleaseAssetResponse = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposUpdateReleaseAssetResponseUploader;
-    url: string;
-  };
-  type ReposUpdateReleaseResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateReleaseResponseAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateReleaseResponseAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposUpdateReleaseResponseAssetsItemUploader;
-    url: string;
-  };
-  type ReposUpdateReleaseResponse = {
-    assets: Array<ReposUpdateReleaseResponseAssetsItem>;
-    assets_url: string;
-    author: ReposUpdateReleaseResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-  };
-  type ReposUpdateProtectedBranchRequiredStatusChecksResponse = {
-    contexts: Array<string>;
-    contexts_url: string;
-    strict: boolean;
-    url: string;
-  };
-  type ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictions = {
-    teams: Array<
-      ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsTeamsItem
-    >;
-    teams_url: string;
-    url: string;
-    users: Array<
-      ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsUsersItem
-    >;
-    users_url: string;
-  };
-  type ReposUpdateProtectedBranchPullRequestReviewEnforcementResponse = {
-    dismiss_stale_reviews: boolean;
-    dismissal_restrictions: ReposUpdateProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictions;
-    require_code_owner_reviews: boolean;
-    required_approving_review_count: number;
-    url: string;
-  };
-  type ReposUpdateInvitationResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateInvitationResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposUpdateInvitationResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ReposUpdateInvitationResponseInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateInvitationResponseInvitee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateInvitationResponse = {
-    created_at: string;
-    html_url: string;
-    id: number;
-    invitee: ReposUpdateInvitationResponseInvitee;
-    inviter: ReposUpdateInvitationResponseInviter;
-    permissions: string;
-    repository: ReposUpdateInvitationResponseRepository;
-    url: string;
-  };
-  type ReposUpdateHookResponseLastResponse = {
-    code: null;
-    message: null;
-    status: string;
-  };
-  type ReposUpdateHookResponseConfig = {
-    content_type: string;
-    insecure_ssl: string;
-    url: string;
-  };
-  type ReposUpdateHookResponse = {
-    active: boolean;
-    config: ReposUpdateHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    last_response: ReposUpdateHookResponseLastResponse;
-    name: string;
-    ping_url: string;
-    test_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposUpdateFileResponseContentLinks = {
-    git: string;
-    html: string;
-    self: string;
-  };
-  type ReposUpdateFileResponseContent = {
-    _links: ReposUpdateFileResponseContentLinks;
-    download_url: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateFileResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposUpdateFileResponseCommitTree = { sha: string; url: string };
-  type ReposUpdateFileResponseCommitParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-  };
-  type ReposUpdateFileResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposUpdateFileResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposUpdateFileResponseCommit = {
-    author: ReposUpdateFileResponseCommitAuthor;
-    committer: ReposUpdateFileResponseCommitCommitter;
-    html_url: string;
-    message: string;
-    node_id: string;
-    parents: Array<ReposUpdateFileResponseCommitParentsItem>;
-    sha: string;
-    tree: ReposUpdateFileResponseCommitTree;
-    url: string;
-    verification: ReposUpdateFileResponseCommitVerification;
-  };
-  type ReposUpdateFileResponse = {
-    commit: ReposUpdateFileResponseCommit;
-    content: ReposUpdateFileResponseContent;
-  };
-  type ReposUpdateCommitCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateCommitCommentResponse = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposUpdateCommitCommentResponseUser;
-  };
-  type ReposUpdateBranchProtectionResponseRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRestrictionsAppsItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ReposUpdateBranchProtectionResponseRestrictionsAppsItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRestrictionsAppsItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposUpdateBranchProtectionResponseRestrictionsAppsItemOwner;
-    permissions: ReposUpdateBranchProtectionResponseRestrictionsAppsItemPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ReposUpdateBranchProtectionResponseRestrictions = {
-    apps: Array<ReposUpdateBranchProtectionResponseRestrictionsAppsItem>;
-    apps_url: string;
-    teams: Array<ReposUpdateBranchProtectionResponseRestrictionsTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposUpdateBranchProtectionResponseRestrictionsUsersItem>;
-    users_url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRequiredStatusChecks = {
-    contexts: Array<string>;
-    contexts_url: string;
-    strict: boolean;
-    url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictions = {
-    teams: Array<
-      ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsTeamsItem
-    >;
-    teams_url: string;
-    url: string;
-    users: Array<
-      ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsUsersItem
-    >;
-    users_url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRequiredPullRequestReviews = {
-    dismiss_stale_reviews: boolean;
-    dismissal_restrictions: ReposUpdateBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictions;
-    require_code_owner_reviews: boolean;
-    required_approving_review_count: number;
-    url: string;
-  };
-  type ReposUpdateBranchProtectionResponseRequiredLinearHistory = {
-    enabled: boolean;
-  };
-  type ReposUpdateBranchProtectionResponseEnforceAdmins = {
-    enabled: boolean;
-    url: string;
-  };
-  type ReposUpdateBranchProtectionResponseAllowForcePushes = {
-    enabled: boolean;
-  };
-  type ReposUpdateBranchProtectionResponseAllowDeletions = { enabled: boolean };
-  type ReposUpdateBranchProtectionResponse = {
-    allow_deletions: ReposUpdateBranchProtectionResponseAllowDeletions;
-    allow_force_pushes: ReposUpdateBranchProtectionResponseAllowForcePushes;
-    enforce_admins: ReposUpdateBranchProtectionResponseEnforceAdmins;
-    required_linear_history: ReposUpdateBranchProtectionResponseRequiredLinearHistory;
-    required_pull_request_reviews: ReposUpdateBranchProtectionResponseRequiredPullRequestReviews;
-    required_status_checks: ReposUpdateBranchProtectionResponseRequiredStatusChecks;
-    restrictions: ReposUpdateBranchProtectionResponseRestrictions;
-    url: string;
-  };
-  type ReposUpdateResponseSourcePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposUpdateResponseSourceOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateResponseSource = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposUpdateResponseSourceOwner;
-    permissions: ReposUpdateResponseSourcePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposUpdateResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposUpdateResponseParentPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposUpdateResponseParentOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateResponseParent = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposUpdateResponseParentOwner;
-    permissions: ReposUpdateResponseParentPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposUpdateResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateResponseOrganization = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposUpdateResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    organization: ReposUpdateResponseOrganization;
-    owner: ReposUpdateResponseOwner;
-    parent: ReposUpdateResponseParent;
-    permissions: ReposUpdateResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    source: ReposUpdateResponseSource;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposTransferResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposTransferResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposTransferResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposTransferResponseOwner;
-    permissions: ReposTransferResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposRetrieveCommunityProfileMetricsResponseFilesReadme = {
-    html_url: string;
-    url: string;
-  };
-  type ReposRetrieveCommunityProfileMetricsResponseFilesPullRequestTemplate = {
-    html_url: string;
-    url: string;
-  };
-  type ReposRetrieveCommunityProfileMetricsResponseFilesLicense = {
-    html_url: string;
-    key: string;
-    name: string;
-    spdx_id: string;
-    url: string;
-  };
-  type ReposRetrieveCommunityProfileMetricsResponseFilesIssueTemplate = {
-    html_url: string;
-    url: string;
-  };
-  type ReposRetrieveCommunityProfileMetricsResponseFilesContributing = {
-    html_url: string;
-    url: string;
-  };
-  type ReposRetrieveCommunityProfileMetricsResponseFilesCodeOfConduct = {
-    html_url: string;
-    key: string;
-    name: string;
-    url: string;
-  };
-  type ReposRetrieveCommunityProfileMetricsResponseFiles = {
-    code_of_conduct: ReposRetrieveCommunityProfileMetricsResponseFilesCodeOfConduct;
-    contributing: ReposRetrieveCommunityProfileMetricsResponseFilesContributing;
-    issue_template: ReposRetrieveCommunityProfileMetricsResponseFilesIssueTemplate;
-    license: ReposRetrieveCommunityProfileMetricsResponseFilesLicense;
-    pull_request_template: ReposRetrieveCommunityProfileMetricsResponseFilesPullRequestTemplate;
-    readme: ReposRetrieveCommunityProfileMetricsResponseFilesReadme;
-  };
-  type ReposRetrieveCommunityProfileMetricsResponse = {
-    description: string;
-    documentation: boolean;
-    files: ReposRetrieveCommunityProfileMetricsResponseFiles;
-    health_percentage: number;
-    updated_at: string;
-  };
-  type ReposRequestPageBuildResponse = { status: string; url: string };
-  type ReposReplaceTopicsResponse = { names: Array<string> };
-  type ReposReplaceProtectedBranchUserRestrictionsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposReplaceProtectedBranchTeamRestrictionsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposReplaceProtectedBranchAppRestrictionsResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ReposReplaceProtectedBranchAppRestrictionsResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ReposReplaceProtectedBranchAppRestrictionsResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposReplaceProtectedBranchAppRestrictionsResponseItemOwner;
-    permissions: ReposReplaceProtectedBranchAppRestrictionsResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ReposRemoveProtectedBranchUserRestrictionsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposRemoveProtectedBranchTeamRestrictionsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposRemoveProtectedBranchAppRestrictionsResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ReposRemoveProtectedBranchAppRestrictionsResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ReposRemoveProtectedBranchAppRestrictionsResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposRemoveProtectedBranchAppRestrictionsResponseItemOwner;
-    permissions: ReposRemoveProtectedBranchAppRestrictionsResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ReposMergeResponseParentsItem = { sha: string; url: string };
-  type ReposMergeResponseCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposMergeResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposMergeResponseCommitTree = { sha: string; url: string };
-  type ReposMergeResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposMergeResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposMergeResponseCommit = {
-    author: ReposMergeResponseCommitAuthor;
-    comment_count: number;
-    committer: ReposMergeResponseCommitCommitter;
-    message: string;
-    tree: ReposMergeResponseCommitTree;
-    url: string;
-    verification: ReposMergeResponseCommitVerification;
-  };
-  type ReposMergeResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposMergeResponse = {
-    author: ReposMergeResponseAuthor;
-    comments_url: string;
-    commit: ReposMergeResponseCommit;
-    committer: ReposMergeResponseCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposMergeResponseParentsItem>;
-    sha: string;
-    url: string;
-  };
-  type ReposListUsersWithAccessToProtectedBranchResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListTopicsResponse = { names: Array<string> };
-  type ReposListTeamsWithAccessToProtectedBranchResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposListTeamsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposListTagsResponseItemCommit = { sha: string; url: string };
-  type ReposListTagsResponseItem = {
-    commit: ReposListTagsResponseItemCommit;
-    name: string;
-    tarball_url: string;
-    zipball_url: string;
-  };
-  type ReposListStatusesForRefResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListStatusesForRefResponseItem = {
-    avatar_url: string;
-    context: string;
-    created_at: string;
-    creator: ReposListStatusesForRefResponseItemCreator;
-    description: string;
-    id: number;
-    node_id: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposListReleasesResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListReleasesResponseItemAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListReleasesResponseItemAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposListReleasesResponseItemAssetsItemUploader;
-    url: string;
-  };
-  type ReposListReleasesResponseItem = {
-    assets: Array<ReposListReleasesResponseItemAssetsItem>;
-    assets_url: string;
-    author: ReposListReleasesResponseItemAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: ReposListPullRequestsAssociatedWithCommitResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepoOwner;
-    permissions: ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemHead = {
-    label: string;
-    ref: string;
-    repo: ReposListPullRequestsAssociatedWithCommitResponseItemHeadRepo;
-    sha: string;
-    user: ReposListPullRequestsAssociatedWithCommitResponseItemHeadUser;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepoOwner;
-    permissions: ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemBase = {
-    label: string;
-    ref: string;
-    repo: ReposListPullRequestsAssociatedWithCommitResponseItemBaseRepo;
-    sha: string;
-    user: ReposListPullRequestsAssociatedWithCommitResponseItemBaseUser;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinksStatuses = {
-    href: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinksSelf = {
-    href: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinksReviewComments = {
-    href: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinksReviewComment = {
-    href: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinksIssue = {
-    href: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinksHtml = {
-    href: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinksCommits = {
-    href: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinksComments = {
-    href: string;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItemLinks = {
-    comments: ReposListPullRequestsAssociatedWithCommitResponseItemLinksComments;
-    commits: ReposListPullRequestsAssociatedWithCommitResponseItemLinksCommits;
-    html: ReposListPullRequestsAssociatedWithCommitResponseItemLinksHtml;
-    issue: ReposListPullRequestsAssociatedWithCommitResponseItemLinksIssue;
-    review_comment: ReposListPullRequestsAssociatedWithCommitResponseItemLinksReviewComment;
-    review_comments: ReposListPullRequestsAssociatedWithCommitResponseItemLinksReviewComments;
-    self: ReposListPullRequestsAssociatedWithCommitResponseItemLinksSelf;
-    statuses: ReposListPullRequestsAssociatedWithCommitResponseItemLinksStatuses;
-  };
-  type ReposListPullRequestsAssociatedWithCommitResponseItem = {
-    _links: ReposListPullRequestsAssociatedWithCommitResponseItemLinks;
-    active_lock_reason: string;
-    assignee: ReposListPullRequestsAssociatedWithCommitResponseItemAssignee;
-    assignees: Array<
-      ReposListPullRequestsAssociatedWithCommitResponseItemAssigneesItem
-    >;
-    author_association: string;
-    base: ReposListPullRequestsAssociatedWithCommitResponseItemBase;
-    body: string;
-    closed_at: string;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    diff_url: string;
-    draft: boolean;
-    head: ReposListPullRequestsAssociatedWithCommitResponseItemHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<
-      ReposListPullRequestsAssociatedWithCommitResponseItemLabelsItem
-    >;
-    locked: boolean;
-    merge_commit_sha: string;
-    merged_at: string;
-    milestone: ReposListPullRequestsAssociatedWithCommitResponseItemMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    requested_reviewers: Array<
-      ReposListPullRequestsAssociatedWithCommitResponseItemRequestedReviewersItem
-    >;
-    requested_teams: Array<
-      ReposListPullRequestsAssociatedWithCommitResponseItemRequestedTeamsItem
-    >;
-    review_comment_url: string;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: ReposListPullRequestsAssociatedWithCommitResponseItemUser;
-  };
-  type ReposListPublicResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPublicResponseItem = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposListPublicResponseItemOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ReposListProtectedBranchUserRestrictionsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListProtectedBranchTeamRestrictionsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposListPagesBuildsResponseItemPusher = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListPagesBuildsResponseItemError = { message: null };
-  type ReposListPagesBuildsResponseItem = {
-    commit: string;
-    created_at: string;
-    duration: number;
-    error: ReposListPagesBuildsResponseItemError;
-    pusher: ReposListPagesBuildsResponseItemPusher;
-    status: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposListLanguagesResponse = { C: number; Python: number };
-  type ReposListInvitationsForAuthenticatedUserResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListInvitationsForAuthenticatedUserResponseItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposListInvitationsForAuthenticatedUserResponseItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ReposListInvitationsForAuthenticatedUserResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListInvitationsForAuthenticatedUserResponseItemInvitee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListInvitationsForAuthenticatedUserResponseItem = {
-    created_at: string;
-    html_url: string;
-    id: number;
-    invitee: ReposListInvitationsForAuthenticatedUserResponseItemInvitee;
-    inviter: ReposListInvitationsForAuthenticatedUserResponseItemInviter;
-    permissions: string;
-    repository: ReposListInvitationsForAuthenticatedUserResponseItemRepository;
-    url: string;
-  };
-  type ReposListInvitationsResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListInvitationsResponseItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposListInvitationsResponseItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ReposListInvitationsResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListInvitationsResponseItemInvitee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListInvitationsResponseItem = {
-    created_at: string;
-    html_url: string;
-    id: number;
-    invitee: ReposListInvitationsResponseItemInvitee;
-    inviter: ReposListInvitationsResponseItemInviter;
-    permissions: string;
-    repository: ReposListInvitationsResponseItemRepository;
-    url: string;
-  };
-  type ReposListHooksResponseItemLastResponse = {
-    code: null;
-    message: null;
-    status: string;
-  };
-  type ReposListHooksResponseItemConfig = {
-    content_type: string;
-    insecure_ssl: string;
-    url: string;
-  };
-  type ReposListHooksResponseItem = {
-    active: boolean;
-    config: ReposListHooksResponseItemConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    last_response: ReposListHooksResponseItemLastResponse;
-    name: string;
-    ping_url: string;
-    test_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposListForksResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposListForksResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListForksResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type ReposListForksResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ReposListForksResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposListForksResponseItemOwner;
-    permissions: ReposListForksResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposListForOrgResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposListForOrgResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListForOrgResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type ReposListForOrgResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ReposListForOrgResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposListForOrgResponseItemOwner;
-    permissions: ReposListForOrgResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposListDownloadsResponseItem = {
-    content_type: string;
-    description: string;
-    download_count: number;
-    html_url: string;
-    id: number;
-    name: string;
-    size: number;
-    url: string;
-  };
-  type ReposListDeploymentsResponseItemPayload = { deploy: string };
-  type ReposListDeploymentsResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListDeploymentsResponseItem = {
-    created_at: string;
-    creator: ReposListDeploymentsResponseItemCreator;
-    description: string;
-    environment: string;
-    id: number;
-    node_id: string;
-    original_environment: string;
-    payload: ReposListDeploymentsResponseItemPayload;
-    production_environment: boolean;
-    ref: string;
-    repository_url: string;
-    sha: string;
-    statuses_url: string;
-    task: string;
-    transient_environment: boolean;
-    updated_at: string;
-    url: string;
-  };
-  type ReposListDeploymentStatusesResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListDeploymentStatusesResponseItem = {
-    created_at: string;
-    creator: ReposListDeploymentStatusesResponseItemCreator;
-    deployment_url: string;
-    description: string;
-    environment: string;
-    environment_url: string;
-    id: number;
-    log_url: string;
-    node_id: string;
-    repository_url: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposListDeployKeysResponseItem = {
-    created_at: string;
-    id: number;
-    key: string;
-    read_only: boolean;
-    title: string;
-    url: string;
-    verified: boolean;
-  };
-  type ReposListContributorsResponseItem = {
-    avatar_url: string;
-    contributions: number;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListCommitsResponseItemParentsItem = { sha: string; url: string };
-  type ReposListCommitsResponseItemCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListCommitsResponseItemCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposListCommitsResponseItemCommitTree = { sha: string; url: string };
-  type ReposListCommitsResponseItemCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposListCommitsResponseItemCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposListCommitsResponseItemCommit = {
-    author: ReposListCommitsResponseItemCommitAuthor;
-    comment_count: number;
-    committer: ReposListCommitsResponseItemCommitCommitter;
-    message: string;
-    tree: ReposListCommitsResponseItemCommitTree;
-    url: string;
-    verification: ReposListCommitsResponseItemCommitVerification;
-  };
-  type ReposListCommitsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListCommitsResponseItem = {
-    author: ReposListCommitsResponseItemAuthor;
-    comments_url: string;
-    commit: ReposListCommitsResponseItemCommit;
-    committer: ReposListCommitsResponseItemCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposListCommitsResponseItemParentsItem>;
-    sha: string;
-    url: string;
-  };
-  type ReposListCommitCommentsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListCommitCommentsResponseItem = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposListCommitCommentsResponseItemUser;
-  };
-  type ReposListCommentsForCommitResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListCommentsForCommitResponseItem = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposListCommentsForCommitResponseItemUser;
-  };
-  type ReposListCollaboratorsResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposListCollaboratorsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    permissions: ReposListCollaboratorsResponseItemPermissions;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListBranchesForHeadCommitResponseItemCommit = {
-    sha: string;
-    url: string;
-  };
-  type ReposListBranchesForHeadCommitResponseItem = {
-    commit: ReposListBranchesForHeadCommitResponseItemCommit;
-    name: string;
-    protected: string;
-  };
-  type ReposListBranchesResponseItemProtectionRequiredStatusChecks = {
-    contexts: Array<string>;
-    enforcement_level: string;
-  };
-  type ReposListBranchesResponseItemProtection = {
-    enabled: boolean;
-    required_status_checks: ReposListBranchesResponseItemProtectionRequiredStatusChecks;
-  };
-  type ReposListBranchesResponseItemCommit = { sha: string; url: string };
-  type ReposListBranchesResponseItem = {
-    commit: ReposListBranchesResponseItemCommit;
-    name: string;
-    protected: boolean;
-    protection: ReposListBranchesResponseItemProtection;
-    protection_url: string;
-  };
-  type ReposListAssetsForReleaseResponseItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposListAssetsForReleaseResponseItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposListAssetsForReleaseResponseItemUploader;
-    url: string;
-  };
-  type ReposListAppsWithAccessToProtectedBranchResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ReposListAppsWithAccessToProtectedBranchResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ReposListAppsWithAccessToProtectedBranchResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposListAppsWithAccessToProtectedBranchResponseItemOwner;
-    permissions: ReposListAppsWithAccessToProtectedBranchResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ReposGetViewsResponseViewsItem = {
-    count: number;
-    timestamp: string;
-    uniques: number;
-  };
-  type ReposGetViewsResponse = {
-    count: number;
-    uniques: number;
-    views: Array<ReposGetViewsResponseViewsItem>;
-  };
-  type ReposGetUsersWithAccessToProtectedBranchResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetTopReferrersResponseItem = {
-    count: number;
-    referrer: string;
-    uniques: number;
-  };
-  type ReposGetTopPathsResponseItem = {
-    count: number;
-    path: string;
-    title: string;
-    uniques: number;
-  };
-  type ReposGetTeamsWithAccessToProtectedBranchResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposGetReleaseByTagResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetReleaseByTagResponseAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetReleaseByTagResponseAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposGetReleaseByTagResponseAssetsItemUploader;
-    url: string;
-  };
-  type ReposGetReleaseByTagResponse = {
-    assets: Array<ReposGetReleaseByTagResponseAssetsItem>;
-    assets_url: string;
-    author: ReposGetReleaseByTagResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-  };
-  type ReposGetReleaseAssetResponseUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetReleaseAssetResponse = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposGetReleaseAssetResponseUploader;
-    url: string;
-  };
-  type ReposGetReleaseResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetReleaseResponseAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetReleaseResponseAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposGetReleaseResponseAssetsItemUploader;
-    url: string;
-  };
-  type ReposGetReleaseResponse = {
-    assets: Array<ReposGetReleaseResponseAssetsItem>;
-    assets_url: string;
-    author: ReposGetReleaseResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-  };
-  type ReposGetReadmeResponseLinks = {
-    git: string;
-    html: string;
-    self: string;
-  };
-  type ReposGetReadmeResponse = {
-    _links: ReposGetReadmeResponseLinks;
-    content: string;
-    download_url: string;
-    encoding: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-  };
-  type ReposGetProtectedBranchRestrictionsResponseUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetProtectedBranchRestrictionsResponseTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposGetProtectedBranchRestrictionsResponseAppsItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ReposGetProtectedBranchRestrictionsResponseAppsItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ReposGetProtectedBranchRestrictionsResponseAppsItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposGetProtectedBranchRestrictionsResponseAppsItemOwner;
-    permissions: ReposGetProtectedBranchRestrictionsResponseAppsItemPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ReposGetProtectedBranchRestrictionsResponse = {
-    apps: Array<ReposGetProtectedBranchRestrictionsResponseAppsItem>;
-    apps_url: string;
-    teams: Array<ReposGetProtectedBranchRestrictionsResponseTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposGetProtectedBranchRestrictionsResponseUsersItem>;
-    users_url: string;
-  };
-  type ReposGetProtectedBranchRequiredStatusChecksResponse = {
-    contexts: Array<string>;
-    contexts_url: string;
-    strict: boolean;
-    url: string;
-  };
-  type ReposGetProtectedBranchRequiredSignaturesResponse = {
-    enabled: boolean;
-    url: string;
-  };
-  type ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictions = {
-    teams: Array<
-      ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsTeamsItem
-    >;
-    teams_url: string;
-    url: string;
-    users: Array<
-      ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictionsUsersItem
-    >;
-    users_url: string;
-  };
-  type ReposGetProtectedBranchPullRequestReviewEnforcementResponse = {
-    dismiss_stale_reviews: boolean;
-    dismissal_restrictions: ReposGetProtectedBranchPullRequestReviewEnforcementResponseDismissalRestrictions;
-    require_code_owner_reviews: boolean;
-    required_approving_review_count: number;
-    url: string;
-  };
-  type ReposGetProtectedBranchAdminEnforcementResponse = {
-    enabled: boolean;
-    url: string;
-  };
-  type ReposGetParticipationStatsResponse = {
-    all: Array<number>;
-    owner: Array<number>;
-  };
-  type ReposGetPagesBuildResponsePusher = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetPagesBuildResponseError = { message: null };
-  type ReposGetPagesBuildResponse = {
-    commit: string;
-    created_at: string;
-    duration: number;
-    error: ReposGetPagesBuildResponseError;
-    pusher: ReposGetPagesBuildResponsePusher;
-    status: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposGetPagesResponseSource = { branch: string; directory: string };
-  type ReposGetPagesResponse = {
-    cname: string;
-    custom_404: boolean;
-    html_url: string;
-    source: ReposGetPagesResponseSource;
-    status: string;
-    url: string;
-  };
-  type ReposGetLatestReleaseResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetLatestReleaseResponseAssetsItemUploader = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetLatestReleaseResponseAssetsItem = {
-    browser_download_url: string;
-    content_type: string;
-    created_at: string;
-    download_count: number;
-    id: number;
-    label: string;
-    name: string;
-    node_id: string;
-    size: number;
-    state: string;
-    updated_at: string;
-    uploader: ReposGetLatestReleaseResponseAssetsItemUploader;
-    url: string;
-  };
-  type ReposGetLatestReleaseResponse = {
-    assets: Array<ReposGetLatestReleaseResponseAssetsItem>;
-    assets_url: string;
-    author: ReposGetLatestReleaseResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-  };
-  type ReposGetLatestPagesBuildResponsePusher = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetLatestPagesBuildResponseError = { message: null };
-  type ReposGetLatestPagesBuildResponse = {
-    commit: string;
-    created_at: string;
-    duration: number;
-    error: ReposGetLatestPagesBuildResponseError;
-    pusher: ReposGetLatestPagesBuildResponsePusher;
-    status: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposGetHookResponseLastResponse = {
-    code: null;
-    message: null;
-    status: string;
-  };
-  type ReposGetHookResponseConfig = {
-    content_type: string;
-    insecure_ssl: string;
-    url: string;
-  };
-  type ReposGetHookResponse = {
-    active: boolean;
-    config: ReposGetHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    last_response: ReposGetHookResponseLastResponse;
-    name: string;
-    ping_url: string;
-    test_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposGetDownloadResponse = {
-    content_type: string;
-    description: string;
-    download_count: number;
-    html_url: string;
-    id: number;
-    name: string;
-    size: number;
-    url: string;
-  };
-  type ReposGetDeploymentStatusResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetDeploymentStatusResponse = {
-    created_at: string;
-    creator: ReposGetDeploymentStatusResponseCreator;
-    deployment_url: string;
-    description: string;
-    environment: string;
-    environment_url: string;
-    id: number;
-    log_url: string;
-    node_id: string;
-    repository_url: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposGetDeploymentResponsePayload = { deploy: string };
-  type ReposGetDeploymentResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetDeploymentResponse = {
-    created_at: string;
-    creator: ReposGetDeploymentResponseCreator;
-    description: string;
-    environment: string;
-    id: number;
-    node_id: string;
-    original_environment: string;
-    payload: ReposGetDeploymentResponsePayload;
-    production_environment: boolean;
-    ref: string;
-    repository_url: string;
-    sha: string;
-    statuses_url: string;
-    task: string;
-    transient_environment: boolean;
-    updated_at: string;
-    url: string;
-  };
-  type ReposGetDeployKeyResponse = {
-    created_at: string;
-    id: number;
-    key: string;
-    read_only: boolean;
-    title: string;
-    url: string;
-    verified: boolean;
-  };
-  type ReposGetContributorsStatsResponseItemWeeksItem = {
-    a: number;
-    c: number;
-    d: number;
-    w: string;
-  };
-  type ReposGetContributorsStatsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetContributorsStatsResponseItem = {
-    author: ReposGetContributorsStatsResponseItemAuthor;
-    total: number;
-    weeks: Array<ReposGetContributorsStatsResponseItemWeeksItem>;
-  };
-  type ReposGetContentsResponseItemLinks = {
-    git: string;
-    html: string;
-    self: string;
-  };
-  type ReposGetContentsResponseItem = {
-    _links: ReposGetContentsResponseItemLinks;
-    download_url: string | null;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-  };
-  type ReposGetContentsResponseLinks = {
-    git: string;
-    html: string;
-    self: string;
-  };
-  type ReposGetContentsResponse =
-    | {
-        _links: ReposGetContentsResponseLinks;
-        content?: string;
-        download_url: string | null;
-        encoding?: string;
-        git_url: string;
-        html_url: string;
-        name: string;
-        path: string;
-        sha: string;
-        size: number;
-        type: string;
-        url: string;
-        target?: string;
-        submodule_git_url?: string;
-      }
-    | Array<ReposGetContentsResponseItem>;
-  type ReposGetCommitCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetCommitCommentResponse = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposGetCommitCommentResponseUser;
-  };
-  type ReposGetCommitActivityStatsResponseItem = {
-    days: Array<number>;
-    total: number;
-    week: number;
-  };
-  type ReposGetCommitResponseStats = {
-    additions: number;
-    deletions: number;
-    total: number;
-  };
-  type ReposGetCommitResponseParentsItem = { sha: string; url: string };
-  type ReposGetCommitResponseFilesItem = {
-    additions: number;
-    blob_url: string;
-    changes: number;
-    deletions: number;
-    filename: string;
-    patch: string;
-    raw_url: string;
-    status: string;
-  };
-  type ReposGetCommitResponseCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetCommitResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposGetCommitResponseCommitTree = { sha: string; url: string };
-  type ReposGetCommitResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposGetCommitResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposGetCommitResponseCommit = {
-    author: ReposGetCommitResponseCommitAuthor;
-    comment_count: number;
-    committer: ReposGetCommitResponseCommitCommitter;
-    message: string;
-    tree: ReposGetCommitResponseCommitTree;
-    url: string;
-    verification: ReposGetCommitResponseCommitVerification;
-  };
-  type ReposGetCommitResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetCommitResponse = {
-    author: ReposGetCommitResponseAuthor;
-    comments_url: string;
-    commit: ReposGetCommitResponseCommit;
-    committer: ReposGetCommitResponseCommitter;
-    files: Array<ReposGetCommitResponseFilesItem>;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposGetCommitResponseParentsItem>;
-    sha: string;
-    stats: ReposGetCommitResponseStats;
-    url: string;
-  };
-  type ReposGetCombinedStatusForRefResponseStatusesItem = {
-    avatar_url: string;
-    context: string;
-    created_at: string;
-    description: string;
-    id: number;
-    node_id: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposGetCombinedStatusForRefResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetCombinedStatusForRefResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposGetCombinedStatusForRefResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ReposGetCombinedStatusForRefResponse = {
-    commit_url: string;
-    repository: ReposGetCombinedStatusForRefResponseRepository;
-    sha: string;
-    state: string;
-    statuses: Array<ReposGetCombinedStatusForRefResponseStatusesItem>;
-    total_count: number;
-    url: string;
-  };
-  type ReposGetCollaboratorPermissionLevelResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetCollaboratorPermissionLevelResponse = {
-    permission: string;
-    user: ReposGetCollaboratorPermissionLevelResponseUser;
-  };
-  type ReposGetClonesResponseClonesItem = {
-    count: number;
-    timestamp: string;
-    uniques: number;
-  };
-  type ReposGetClonesResponse = {
-    clones: Array<ReposGetClonesResponseClonesItem>;
-    count: number;
-    uniques: number;
-  };
-  type ReposGetBranchProtectionResponseRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetBranchProtectionResponseRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposGetBranchProtectionResponseRestrictionsAppsItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ReposGetBranchProtectionResponseRestrictionsAppsItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ReposGetBranchProtectionResponseRestrictionsAppsItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposGetBranchProtectionResponseRestrictionsAppsItemOwner;
-    permissions: ReposGetBranchProtectionResponseRestrictionsAppsItemPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ReposGetBranchProtectionResponseRestrictions = {
-    apps: Array<ReposGetBranchProtectionResponseRestrictionsAppsItem>;
-    apps_url: string;
-    teams: Array<ReposGetBranchProtectionResponseRestrictionsTeamsItem>;
-    teams_url: string;
-    url: string;
-    users: Array<ReposGetBranchProtectionResponseRestrictionsUsersItem>;
-    users_url: string;
-  };
-  type ReposGetBranchProtectionResponseRequiredStatusChecks = {
-    contexts: Array<string>;
-    contexts_url: string;
-    strict: boolean;
-    url: string;
-  };
-  type ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictions = {
-    teams: Array<
-      ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsTeamsItem
-    >;
-    teams_url: string;
-    url: string;
-    users: Array<
-      ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictionsUsersItem
-    >;
-    users_url: string;
-  };
-  type ReposGetBranchProtectionResponseRequiredPullRequestReviews = {
-    dismiss_stale_reviews: boolean;
-    dismissal_restrictions: ReposGetBranchProtectionResponseRequiredPullRequestReviewsDismissalRestrictions;
-    require_code_owner_reviews: boolean;
-    required_approving_review_count: number;
-    url: string;
-  };
-  type ReposGetBranchProtectionResponseRequiredLinearHistory = {
-    enabled: boolean;
-  };
-  type ReposGetBranchProtectionResponseEnforceAdmins = {
-    enabled: boolean;
-    url: string;
-  };
-  type ReposGetBranchProtectionResponseAllowForcePushes = { enabled: boolean };
-  type ReposGetBranchProtectionResponseAllowDeletions = { enabled: boolean };
-  type ReposGetBranchProtectionResponse = {
-    allow_deletions: ReposGetBranchProtectionResponseAllowDeletions;
-    allow_force_pushes: ReposGetBranchProtectionResponseAllowForcePushes;
-    enforce_admins: ReposGetBranchProtectionResponseEnforceAdmins;
-    required_linear_history: ReposGetBranchProtectionResponseRequiredLinearHistory;
-    required_pull_request_reviews: ReposGetBranchProtectionResponseRequiredPullRequestReviews;
-    required_status_checks: ReposGetBranchProtectionResponseRequiredStatusChecks;
-    restrictions: ReposGetBranchProtectionResponseRestrictions;
-    url: string;
-  };
-  type ReposGetBranchResponseProtectionRequiredStatusChecks = {
-    contexts: Array<string>;
-    enforcement_level: string;
-  };
-  type ReposGetBranchResponseProtection = {
-    enabled: boolean;
-    required_status_checks: ReposGetBranchResponseProtectionRequiredStatusChecks;
-  };
-  type ReposGetBranchResponseCommitParentsItem = { sha: string; url: string };
-  type ReposGetBranchResponseCommitCommitter = {
-    avatar_url: string;
-    gravatar_id: string;
-    id: number;
-    login: string;
-    url: string;
-  };
-  type ReposGetBranchResponseCommitCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposGetBranchResponseCommitCommitTree = { sha: string; url: string };
-  type ReposGetBranchResponseCommitCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposGetBranchResponseCommitCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposGetBranchResponseCommitCommit = {
-    author: ReposGetBranchResponseCommitCommitAuthor;
-    committer: ReposGetBranchResponseCommitCommitCommitter;
-    message: string;
-    tree: ReposGetBranchResponseCommitCommitTree;
-    url: string;
-    verification: ReposGetBranchResponseCommitCommitVerification;
-  };
-  type ReposGetBranchResponseCommitAuthor = {
-    avatar_url: string;
-    gravatar_id: string;
-    id: number;
-    login: string;
-    url: string;
-  };
-  type ReposGetBranchResponseCommit = {
-    author: ReposGetBranchResponseCommitAuthor;
-    commit: ReposGetBranchResponseCommitCommit;
-    committer: ReposGetBranchResponseCommitCommitter;
-    node_id: string;
-    parents: Array<ReposGetBranchResponseCommitParentsItem>;
-    sha: string;
-    url: string;
-  };
-  type ReposGetBranchResponseLinks = { html: string; self: string };
-  type ReposGetBranchResponse = {
-    _links: ReposGetBranchResponseLinks;
-    commit: ReposGetBranchResponseCommit;
-    name: string;
-    protected: boolean;
-    protection: ReposGetBranchResponseProtection;
-    protection_url: string;
-  };
-  type ReposGetAppsWithAccessToProtectedBranchResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ReposGetAppsWithAccessToProtectedBranchResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ReposGetAppsWithAccessToProtectedBranchResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposGetAppsWithAccessToProtectedBranchResponseItemOwner;
-    permissions: ReposGetAppsWithAccessToProtectedBranchResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ReposGetResponseSourcePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposGetResponseSourceOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetResponseSource = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposGetResponseSourceOwner;
-    permissions: ReposGetResponseSourcePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposGetResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposGetResponseParentPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposGetResponseParentOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetResponseParent = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposGetResponseParentOwner;
-    permissions: ReposGetResponseParentPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposGetResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetResponseOrganization = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposGetResponseLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type ReposGetResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ReposGetResponseLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    organization: ReposGetResponseOrganization;
-    owner: ReposGetResponseOwner;
-    parent: ReposGetResponseParent;
-    permissions: ReposGetResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    source: ReposGetResponseSource;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposEnablePagesSiteResponseSource = {
-    branch: string;
-    directory: string;
-  };
-  type ReposEnablePagesSiteResponse = {
-    cname: string;
-    custom_404: boolean;
-    html_url: string;
-    source: ReposEnablePagesSiteResponseSource;
-    status: string;
-    url: string;
-  };
-  type ReposDeleteFileResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposDeleteFileResponseCommitTree = { sha: string; url: string };
-  type ReposDeleteFileResponseCommitParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-  };
-  type ReposDeleteFileResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposDeleteFileResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposDeleteFileResponseCommit = {
-    author: ReposDeleteFileResponseCommitAuthor;
-    committer: ReposDeleteFileResponseCommitCommitter;
-    html_url: string;
-    message: string;
-    node_id: string;
-    parents: Array<ReposDeleteFileResponseCommitParentsItem>;
-    sha: string;
-    tree: ReposDeleteFileResponseCommitTree;
-    url: string;
-    verification: ReposDeleteFileResponseCommitVerification;
-  };
-  type ReposDeleteFileResponse = {
-    commit: ReposDeleteFileResponseCommit;
-    content: null;
-  };
-  type ReposDeleteResponse = { documentation_url: string; message: string };
-  type ReposCreateUsingTemplateResponseTemplateRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposCreateUsingTemplateResponseTemplateRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateUsingTemplateResponseTemplateRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateUsingTemplateResponseTemplateRepositoryOwner;
-    permissions: ReposCreateUsingTemplateResponseTemplateRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposCreateUsingTemplateResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposCreateUsingTemplateResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateUsingTemplateResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateUsingTemplateResponseOwner;
-    permissions: ReposCreateUsingTemplateResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: ReposCreateUsingTemplateResponseTemplateRepository;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposCreateStatusResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateStatusResponse = {
-    avatar_url: string;
-    context: string;
-    created_at: string;
-    creator: ReposCreateStatusResponseCreator;
-    description: string;
-    id: number;
-    node_id: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposCreateReleaseResponseAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateReleaseResponse = {
-    assets: Array<any>;
-    assets_url: string;
-    author: ReposCreateReleaseResponseAuthor;
-    body: string;
-    created_at: string;
-    draft: boolean;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    prerelease: boolean;
-    published_at: string;
-    tag_name: string;
-    tarball_url: string;
-    target_commitish: string;
-    upload_url: string;
-    url: string;
-    zipball_url: string;
-  };
-  type ReposCreateOrUpdateFileResponseContentLinks = {
-    git: string;
-    html: string;
-    self: string;
-  };
-  type ReposCreateOrUpdateFileResponseContent = {
-    _links: ReposCreateOrUpdateFileResponseContentLinks;
-    download_url: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-  };
-  type ReposCreateOrUpdateFileResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposCreateOrUpdateFileResponseCommitTree = { sha: string; url: string };
-  type ReposCreateOrUpdateFileResponseCommitParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-  };
-  type ReposCreateOrUpdateFileResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCreateOrUpdateFileResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCreateOrUpdateFileResponseCommit = {
-    author: ReposCreateOrUpdateFileResponseCommitAuthor;
-    committer: ReposCreateOrUpdateFileResponseCommitCommitter;
-    html_url: string;
-    message: string;
-    node_id: string;
-    parents: Array<ReposCreateOrUpdateFileResponseCommitParentsItem>;
-    sha: string;
-    tree: ReposCreateOrUpdateFileResponseCommitTree;
-    url: string;
-    verification: ReposCreateOrUpdateFileResponseCommitVerification;
-  };
-  type ReposCreateOrUpdateFileResponse = {
-    commit: ReposCreateOrUpdateFileResponseCommit;
-    content: ReposCreateOrUpdateFileResponseContent;
-  };
-  type ReposCreateInOrgResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposCreateInOrgResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateInOrgResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateInOrgResponseOwner;
-    permissions: ReposCreateInOrgResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposCreateHookResponseLastResponse = {
-    code: null;
-    message: null;
-    status: string;
-  };
-  type ReposCreateHookResponseConfig = {
-    content_type: string;
-    insecure_ssl: string;
-    url: string;
-  };
-  type ReposCreateHookResponse = {
-    active: boolean;
-    config: ReposCreateHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    last_response: ReposCreateHookResponseLastResponse;
-    name: string;
-    ping_url: string;
-    test_url: string;
-    type: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposCreateForkResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposCreateForkResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateForkResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateForkResponseOwner;
-    permissions: ReposCreateForkResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposCreateForAuthenticatedUserResponsePermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ReposCreateForAuthenticatedUserResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateForAuthenticatedUserResponse = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ReposCreateForAuthenticatedUserResponseOwner;
-    permissions: ReposCreateForAuthenticatedUserResponsePermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ReposCreateFileResponseContentLinks = {
-    git: string;
-    html: string;
-    self: string;
-  };
-  type ReposCreateFileResponseContent = {
-    _links: ReposCreateFileResponseContentLinks;
-    download_url: string;
-    git_url: string;
-    html_url: string;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-  };
-  type ReposCreateFileResponseCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposCreateFileResponseCommitTree = { sha: string; url: string };
-  type ReposCreateFileResponseCommitParentsItem = {
-    html_url: string;
-    sha: string;
-    url: string;
-  };
-  type ReposCreateFileResponseCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCreateFileResponseCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCreateFileResponseCommit = {
-    author: ReposCreateFileResponseCommitAuthor;
-    committer: ReposCreateFileResponseCommitCommitter;
-    html_url: string;
-    message: string;
-    node_id: string;
-    parents: Array<ReposCreateFileResponseCommitParentsItem>;
-    sha: string;
-    tree: ReposCreateFileResponseCommitTree;
-    url: string;
-    verification: ReposCreateFileResponseCommitVerification;
-  };
-  type ReposCreateFileResponse = {
-    commit: ReposCreateFileResponseCommit;
-    content: ReposCreateFileResponseContent;
-  };
-  type ReposCreateDeploymentStatusResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateDeploymentStatusResponse = {
-    created_at: string;
-    creator: ReposCreateDeploymentStatusResponseCreator;
-    deployment_url: string;
-    description: string;
-    environment: string;
-    environment_url: string;
-    id: number;
-    log_url: string;
-    node_id: string;
-    repository_url: string;
-    state: string;
-    target_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ReposCreateDeploymentResponsePayload = { deploy: string };
-  type ReposCreateDeploymentResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateDeploymentResponse = {
-    created_at: string;
-    creator: ReposCreateDeploymentResponseCreator;
-    description: string;
-    environment: string;
-    id: number;
-    node_id: string;
-    original_environment: string;
-    payload: ReposCreateDeploymentResponsePayload;
-    production_environment: boolean;
-    ref: string;
-    repository_url: string;
-    sha: string;
-    statuses_url: string;
-    task: string;
-    transient_environment: boolean;
-    updated_at: string;
-    url: string;
-  };
-  type ReposCreateCommitCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCreateCommitCommentResponse = {
-    body: string;
-    commit_id: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    line: number;
-    node_id: string;
-    path: string;
-    position: number;
-    updated_at: string;
-    url: string;
-    user: ReposCreateCommitCommentResponseUser;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommitParentsItem = {
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommitCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommitCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommitCommitTree = {
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommitCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommitCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommitCommit = {
-    author: ReposCompareCommitsResponseMergeBaseCommitCommitAuthor;
-    comment_count: number;
-    committer: ReposCompareCommitsResponseMergeBaseCommitCommitCommitter;
-    message: string;
-    tree: ReposCompareCommitsResponseMergeBaseCommitCommitTree;
-    url: string;
-    verification: ReposCompareCommitsResponseMergeBaseCommitCommitVerification;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommitAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseMergeBaseCommit = {
-    author: ReposCompareCommitsResponseMergeBaseCommitAuthor;
-    comments_url: string;
-    commit: ReposCompareCommitsResponseMergeBaseCommitCommit;
-    committer: ReposCompareCommitsResponseMergeBaseCommitCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposCompareCommitsResponseMergeBaseCommitParentsItem>;
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseFilesItem = {
-    additions: number;
-    blob_url: string;
-    changes: number;
-    contents_url: string;
-    deletions: number;
-    filename: string;
-    patch: string;
-    raw_url: string;
-    sha: string;
-    status: string;
-  };
-  type ReposCompareCommitsResponseCommitsItemParentsItem = {
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseCommitsItemCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseCommitsItemCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposCompareCommitsResponseCommitsItemCommitTree = {
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseCommitsItemCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCompareCommitsResponseCommitsItemCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCompareCommitsResponseCommitsItemCommit = {
-    author: ReposCompareCommitsResponseCommitsItemCommitAuthor;
-    comment_count: number;
-    committer: ReposCompareCommitsResponseCommitsItemCommitCommitter;
-    message: string;
-    tree: ReposCompareCommitsResponseCommitsItemCommitTree;
-    url: string;
-    verification: ReposCompareCommitsResponseCommitsItemCommitVerification;
-  };
-  type ReposCompareCommitsResponseCommitsItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseCommitsItem = {
-    author: ReposCompareCommitsResponseCommitsItemAuthor;
-    comments_url: string;
-    commit: ReposCompareCommitsResponseCommitsItemCommit;
-    committer: ReposCompareCommitsResponseCommitsItemCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposCompareCommitsResponseCommitsItemParentsItem>;
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseBaseCommitParentsItem = {
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseBaseCommitCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseBaseCommitCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type ReposCompareCommitsResponseBaseCommitCommitTree = {
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseBaseCommitCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCompareCommitsResponseBaseCommitCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type ReposCompareCommitsResponseBaseCommitCommit = {
-    author: ReposCompareCommitsResponseBaseCommitCommitAuthor;
-    comment_count: number;
-    committer: ReposCompareCommitsResponseBaseCommitCommitCommitter;
-    message: string;
-    tree: ReposCompareCommitsResponseBaseCommitCommitTree;
-    url: string;
-    verification: ReposCompareCommitsResponseBaseCommitCommitVerification;
-  };
-  type ReposCompareCommitsResponseBaseCommitAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponseBaseCommit = {
-    author: ReposCompareCommitsResponseBaseCommitAuthor;
-    comments_url: string;
-    commit: ReposCompareCommitsResponseBaseCommitCommit;
-    committer: ReposCompareCommitsResponseBaseCommitCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<ReposCompareCommitsResponseBaseCommitParentsItem>;
-    sha: string;
-    url: string;
-  };
-  type ReposCompareCommitsResponse = {
-    ahead_by: number;
-    base_commit: ReposCompareCommitsResponseBaseCommit;
-    behind_by: number;
-    commits: Array<ReposCompareCommitsResponseCommitsItem>;
-    diff_url: string;
-    files: Array<ReposCompareCommitsResponseFilesItem>;
-    html_url: string;
-    merge_base_commit: ReposCompareCommitsResponseMergeBaseCommit;
-    patch_url: string;
-    permalink_url: string;
-    status: string;
-    total_commits: number;
-    url: string;
-  };
-  type ReposAddProtectedBranchUserRestrictionsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposAddProtectedBranchTeamRestrictionsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type ReposAddProtectedBranchRequiredSignaturesResponse = {
-    enabled: boolean;
-    url: string;
-  };
-  type ReposAddProtectedBranchAppRestrictionsResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ReposAddProtectedBranchAppRestrictionsResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ReposAddProtectedBranchAppRestrictionsResponseItem = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ReposAddProtectedBranchAppRestrictionsResponseItemOwner;
-    permissions: ReposAddProtectedBranchAppRestrictionsResponseItemPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ReposAddProtectedBranchAdminEnforcementResponse = {
-    enabled: boolean;
-    url: string;
-  };
-  type ReposAddDeployKeyResponse = {
-    created_at: string;
-    id: number;
-    key: string;
-    read_only: boolean;
-    title: string;
-    url: string;
-    verified: boolean;
-  };
-  type ReposAddCollaboratorResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposAddCollaboratorResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ReposAddCollaboratorResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ReposAddCollaboratorResponseInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposAddCollaboratorResponseInvitee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReposAddCollaboratorResponse = {
-    created_at: string;
-    html_url: string;
-    id: number;
-    invitee: ReposAddCollaboratorResponseInvitee;
-    inviter: ReposAddCollaboratorResponseInviter;
-    permissions: string;
-    repository: ReposAddCollaboratorResponseRepository;
-    url: string;
-  };
-  type ReactionsListForTeamDiscussionLegacyResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForTeamDiscussionLegacyResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionLegacyResponseItemUser;
-  };
-  type ReactionsListForTeamDiscussionInOrgResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForTeamDiscussionInOrgResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionInOrgResponseItemUser;
-  };
-  type ReactionsListForTeamDiscussionCommentLegacyResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForTeamDiscussionCommentLegacyResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionCommentLegacyResponseItemUser;
-  };
-  type ReactionsListForTeamDiscussionCommentInOrgResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForTeamDiscussionCommentInOrgResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionCommentInOrgResponseItemUser;
-  };
-  type ReactionsListForTeamDiscussionCommentResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForTeamDiscussionCommentResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionCommentResponseItemUser;
-  };
-  type ReactionsListForTeamDiscussionResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForTeamDiscussionResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForTeamDiscussionResponseItemUser;
-  };
-  type ReactionsListForPullRequestReviewCommentResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForPullRequestReviewCommentResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForPullRequestReviewCommentResponseItemUser;
-  };
-  type ReactionsListForIssueCommentResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForIssueCommentResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForIssueCommentResponseItemUser;
-  };
-  type ReactionsListForIssueResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForIssueResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForIssueResponseItemUser;
-  };
-  type ReactionsListForCommitCommentResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsListForCommitCommentResponseItem = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsListForCommitCommentResponseItemUser;
-  };
-  type ReactionsCreateForTeamDiscussionLegacyResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForTeamDiscussionLegacyResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionLegacyResponseUser;
-  };
-  type ReactionsCreateForTeamDiscussionInOrgResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForTeamDiscussionInOrgResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionInOrgResponseUser;
-  };
-  type ReactionsCreateForTeamDiscussionCommentLegacyResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForTeamDiscussionCommentLegacyResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionCommentLegacyResponseUser;
-  };
-  type ReactionsCreateForTeamDiscussionCommentInOrgResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForTeamDiscussionCommentInOrgResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionCommentInOrgResponseUser;
-  };
-  type ReactionsCreateForTeamDiscussionCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForTeamDiscussionCommentResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionCommentResponseUser;
-  };
-  type ReactionsCreateForTeamDiscussionResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForTeamDiscussionResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForTeamDiscussionResponseUser;
-  };
-  type ReactionsCreateForPullRequestReviewCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForPullRequestReviewCommentResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForPullRequestReviewCommentResponseUser;
-  };
-  type ReactionsCreateForIssueCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForIssueCommentResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForIssueCommentResponseUser;
-  };
-  type ReactionsCreateForIssueResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForIssueResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForIssueResponseUser;
-  };
-  type ReactionsCreateForCommitCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ReactionsCreateForCommitCommentResponse = {
-    content: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    user: ReactionsCreateForCommitCommentResponseUser;
-  };
-  type RateLimitGetResponseResourcesSearch = {
-    limit: number;
-    remaining: number;
-    reset: number;
-  };
-  type RateLimitGetResponseResourcesIntegrationManifest = {
-    limit: number;
-    remaining: number;
-    reset: number;
-  };
-  type RateLimitGetResponseResourcesGraphql = {
-    limit: number;
-    remaining: number;
-    reset: number;
-  };
-  type RateLimitGetResponseResourcesCore = {
-    limit: number;
-    remaining: number;
-    reset: number;
-  };
-  type RateLimitGetResponseResources = {
-    core: RateLimitGetResponseResourcesCore;
-    graphql: RateLimitGetResponseResourcesGraphql;
-    integration_manifest: RateLimitGetResponseResourcesIntegrationManifest;
-    search: RateLimitGetResponseResourcesSearch;
-  };
-  type RateLimitGetResponseRate = {
-    limit: number;
-    remaining: number;
-    reset: number;
-  };
-  type RateLimitGetResponse = {
-    rate: RateLimitGetResponseRate;
-    resources: RateLimitGetResponseResources;
-  };
-  type PullsUpdateReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateReviewResponseLinksPullRequest = { href: string };
-  type PullsUpdateReviewResponseLinksHtml = { href: string };
-  type PullsUpdateReviewResponseLinks = {
-    html: PullsUpdateReviewResponseLinksHtml;
-    pull_request: PullsUpdateReviewResponseLinksPullRequest;
-  };
-  type PullsUpdateReviewResponse = {
-    _links: PullsUpdateReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    user: PullsUpdateReviewResponseUser;
-  };
-  type PullsUpdateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateCommentResponseLinksSelf = { href: string };
-  type PullsUpdateCommentResponseLinksPullRequest = { href: string };
-  type PullsUpdateCommentResponseLinksHtml = { href: string };
-  type PullsUpdateCommentResponseLinks = {
-    html: PullsUpdateCommentResponseLinksHtml;
-    pull_request: PullsUpdateCommentResponseLinksPullRequest;
-    self: PullsUpdateCommentResponseLinksSelf;
-  };
-  type PullsUpdateCommentResponse = {
-    _links: PullsUpdateCommentResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsUpdateCommentResponseUser;
-  };
-  type PullsUpdateBranchResponse = { message: string; url: string };
-  type PullsUpdateResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type PullsUpdateResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsUpdateResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type PullsUpdateResponseMergedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type PullsUpdateResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsUpdateResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsUpdateResponseHeadRepoOwner;
-    permissions: PullsUpdateResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsUpdateResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsUpdateResponseHeadRepo;
-    sha: string;
-    user: PullsUpdateResponseHeadUser;
-  };
-  type PullsUpdateResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsUpdateResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsUpdateResponseBaseRepoOwner;
-    permissions: PullsUpdateResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsUpdateResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsUpdateResponseBaseRepo;
-    sha: string;
-    user: PullsUpdateResponseBaseUser;
-  };
-  type PullsUpdateResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsUpdateResponseLinksStatuses = { href: string };
-  type PullsUpdateResponseLinksSelf = { href: string };
-  type PullsUpdateResponseLinksReviewComments = { href: string };
-  type PullsUpdateResponseLinksReviewComment = { href: string };
-  type PullsUpdateResponseLinksIssue = { href: string };
-  type PullsUpdateResponseLinksHtml = { href: string };
-  type PullsUpdateResponseLinksCommits = { href: string };
-  type PullsUpdateResponseLinksComments = { href: string };
-  type PullsUpdateResponseLinks = {
-    comments: PullsUpdateResponseLinksComments;
-    commits: PullsUpdateResponseLinksCommits;
-    html: PullsUpdateResponseLinksHtml;
-    issue: PullsUpdateResponseLinksIssue;
-    review_comment: PullsUpdateResponseLinksReviewComment;
-    review_comments: PullsUpdateResponseLinksReviewComments;
-    self: PullsUpdateResponseLinksSelf;
-    statuses: PullsUpdateResponseLinksStatuses;
-  };
-  type PullsUpdateResponse = {
-    _links: PullsUpdateResponseLinks;
-    active_lock_reason: string;
-    additions: number;
-    assignee: PullsUpdateResponseAssignee;
-    assignees: Array<PullsUpdateResponseAssigneesItem>;
-    author_association: string;
-    base: PullsUpdateResponseBase;
-    body: string;
-    changed_files: number;
-    closed_at: string;
-    comments: number;
-    comments_url: string;
-    commits: number;
-    commits_url: string;
-    created_at: string;
-    deletions: number;
-    diff_url: string;
-    draft: boolean;
-    head: PullsUpdateResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsUpdateResponseLabelsItem>;
-    locked: boolean;
-    maintainer_can_modify: boolean;
-    merge_commit_sha: string;
-    mergeable: boolean;
-    mergeable_state: string;
-    merged: boolean;
-    merged_at: string;
-    merged_by: PullsUpdateResponseMergedBy;
-    milestone: PullsUpdateResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    rebaseable: boolean;
-    requested_reviewers: Array<PullsUpdateResponseRequestedReviewersItem>;
-    requested_teams: Array<PullsUpdateResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments: number;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsUpdateResponseUser;
-  };
-  type PullsSubmitReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsSubmitReviewResponseLinksPullRequest = { href: string };
-  type PullsSubmitReviewResponseLinksHtml = { href: string };
-  type PullsSubmitReviewResponseLinks = {
-    html: PullsSubmitReviewResponseLinksHtml;
-    pull_request: PullsSubmitReviewResponseLinksPullRequest;
-  };
-  type PullsSubmitReviewResponse = {
-    _links: PullsSubmitReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    submitted_at: string;
-    user: PullsSubmitReviewResponseUser;
-  };
-  type PullsMergeResponse = { merged: boolean; message: string; sha: string };
-  type PullsListReviewsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListReviewsResponseItemLinksPullRequest = { href: string };
-  type PullsListReviewsResponseItemLinksHtml = { href: string };
-  type PullsListReviewsResponseItemLinks = {
-    html: PullsListReviewsResponseItemLinksHtml;
-    pull_request: PullsListReviewsResponseItemLinksPullRequest;
-  };
-  type PullsListReviewsResponseItem = {
-    _links: PullsListReviewsResponseItemLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    submitted_at: string;
-    user: PullsListReviewsResponseItemUser;
-  };
-  type PullsListReviewRequestsResponseUsersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListReviewRequestsResponseTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type PullsListReviewRequestsResponse = {
-    teams: Array<PullsListReviewRequestsResponseTeamsItem>;
-    users: Array<PullsListReviewRequestsResponseUsersItem>;
-  };
-  type PullsListFilesResponseItem = {
-    additions: number;
-    blob_url: string;
-    changes: number;
-    contents_url: string;
-    deletions: number;
-    filename: string;
-    patch: string;
-    raw_url: string;
-    sha: string;
-    status: string;
-  };
-  type PullsListCommitsResponseItemParentsItem = { sha: string; url: string };
-  type PullsListCommitsResponseItemCommitter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListCommitsResponseItemCommitVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type PullsListCommitsResponseItemCommitTree = { sha: string; url: string };
-  type PullsListCommitsResponseItemCommitCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type PullsListCommitsResponseItemCommitAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type PullsListCommitsResponseItemCommit = {
-    author: PullsListCommitsResponseItemCommitAuthor;
-    comment_count: number;
-    committer: PullsListCommitsResponseItemCommitCommitter;
-    message: string;
-    tree: PullsListCommitsResponseItemCommitTree;
-    url: string;
-    verification: PullsListCommitsResponseItemCommitVerification;
-  };
-  type PullsListCommitsResponseItemAuthor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListCommitsResponseItem = {
-    author: PullsListCommitsResponseItemAuthor;
-    comments_url: string;
-    commit: PullsListCommitsResponseItemCommit;
-    committer: PullsListCommitsResponseItemCommitter;
-    html_url: string;
-    node_id: string;
-    parents: Array<PullsListCommitsResponseItemParentsItem>;
-    sha: string;
-    url: string;
-  };
-  type PullsListCommentsForRepoResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListCommentsForRepoResponseItemLinksSelf = { href: string };
-  type PullsListCommentsForRepoResponseItemLinksPullRequest = { href: string };
-  type PullsListCommentsForRepoResponseItemLinksHtml = { href: string };
-  type PullsListCommentsForRepoResponseItemLinks = {
-    html: PullsListCommentsForRepoResponseItemLinksHtml;
-    pull_request: PullsListCommentsForRepoResponseItemLinksPullRequest;
-    self: PullsListCommentsForRepoResponseItemLinksSelf;
-  };
-  type PullsListCommentsForRepoResponseItem = {
-    _links: PullsListCommentsForRepoResponseItemLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsListCommentsForRepoResponseItemUser;
-  };
-  type PullsListCommentsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListCommentsResponseItemLinksSelf = { href: string };
-  type PullsListCommentsResponseItemLinksPullRequest = { href: string };
-  type PullsListCommentsResponseItemLinksHtml = { href: string };
-  type PullsListCommentsResponseItemLinks = {
-    html: PullsListCommentsResponseItemLinksHtml;
-    pull_request: PullsListCommentsResponseItemLinksPullRequest;
-    self: PullsListCommentsResponseItemLinksSelf;
-  };
-  type PullsListCommentsResponseItem = {
-    _links: PullsListCommentsResponseItemLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsListCommentsResponseItemUser;
-  };
-  type PullsListResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type PullsListResponseItemRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsListResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type PullsListResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type PullsListResponseItemHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsListResponseItemHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsListResponseItemHeadRepoOwner;
-    permissions: PullsListResponseItemHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsListResponseItemHead = {
-    label: string;
-    ref: string;
-    repo: PullsListResponseItemHeadRepo;
-    sha: string;
-    user: PullsListResponseItemHeadUser;
-  };
-  type PullsListResponseItemBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsListResponseItemBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsListResponseItemBaseRepoOwner;
-    permissions: PullsListResponseItemBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsListResponseItemBase = {
-    label: string;
-    ref: string;
-    repo: PullsListResponseItemBaseRepo;
-    sha: string;
-    user: PullsListResponseItemBaseUser;
-  };
-  type PullsListResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsListResponseItemLinksStatuses = { href: string };
-  type PullsListResponseItemLinksSelf = { href: string };
-  type PullsListResponseItemLinksReviewComments = { href: string };
-  type PullsListResponseItemLinksReviewComment = { href: string };
-  type PullsListResponseItemLinksIssue = { href: string };
-  type PullsListResponseItemLinksHtml = { href: string };
-  type PullsListResponseItemLinksCommits = { href: string };
-  type PullsListResponseItemLinksComments = { href: string };
-  type PullsListResponseItemLinks = {
-    comments: PullsListResponseItemLinksComments;
-    commits: PullsListResponseItemLinksCommits;
-    html: PullsListResponseItemLinksHtml;
-    issue: PullsListResponseItemLinksIssue;
-    review_comment: PullsListResponseItemLinksReviewComment;
-    review_comments: PullsListResponseItemLinksReviewComments;
-    self: PullsListResponseItemLinksSelf;
-    statuses: PullsListResponseItemLinksStatuses;
-  };
-  type PullsListResponseItem = {
-    _links: PullsListResponseItemLinks;
-    active_lock_reason: string;
-    assignee: PullsListResponseItemAssignee;
-    assignees: Array<PullsListResponseItemAssigneesItem>;
-    author_association: string;
-    base: PullsListResponseItemBase;
-    body: string;
-    closed_at: string;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    diff_url: string;
-    draft: boolean;
-    head: PullsListResponseItemHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsListResponseItemLabelsItem>;
-    locked: boolean;
-    merge_commit_sha: string;
-    merged_at: string;
-    milestone: PullsListResponseItemMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    requested_reviewers: Array<PullsListResponseItemRequestedReviewersItem>;
-    requested_teams: Array<PullsListResponseItemRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsListResponseItemUser;
-  };
-  type PullsGetReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetReviewResponseLinksPullRequest = { href: string };
-  type PullsGetReviewResponseLinksHtml = { href: string };
-  type PullsGetReviewResponseLinks = {
-    html: PullsGetReviewResponseLinksHtml;
-    pull_request: PullsGetReviewResponseLinksPullRequest;
-  };
-  type PullsGetReviewResponse = {
-    _links: PullsGetReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    submitted_at: string;
-    user: PullsGetReviewResponseUser;
-  };
-  type PullsGetCommentsForReviewResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetCommentsForReviewResponseItemLinksSelf = { href: string };
-  type PullsGetCommentsForReviewResponseItemLinksPullRequest = { href: string };
-  type PullsGetCommentsForReviewResponseItemLinksHtml = { href: string };
-  type PullsGetCommentsForReviewResponseItemLinks = {
-    html: PullsGetCommentsForReviewResponseItemLinksHtml;
-    pull_request: PullsGetCommentsForReviewResponseItemLinksPullRequest;
-    self: PullsGetCommentsForReviewResponseItemLinksSelf;
-  };
-  type PullsGetCommentsForReviewResponseItem = {
-    _links: PullsGetCommentsForReviewResponseItemLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    node_id: string;
-    original_commit_id: string;
-    original_position: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    updated_at: string;
-    url: string;
-    user: PullsGetCommentsForReviewResponseItemUser;
-  };
-  type PullsGetCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetCommentResponseLinksSelf = { href: string };
-  type PullsGetCommentResponseLinksPullRequest = { href: string };
-  type PullsGetCommentResponseLinksHtml = { href: string };
-  type PullsGetCommentResponseLinks = {
-    html: PullsGetCommentResponseLinksHtml;
-    pull_request: PullsGetCommentResponseLinksPullRequest;
-    self: PullsGetCommentResponseLinksSelf;
-  };
-  type PullsGetCommentResponse = {
-    _links: PullsGetCommentResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsGetCommentResponseUser;
-  };
-  type PullsGetResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type PullsGetResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsGetResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type PullsGetResponseMergedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type PullsGetResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsGetResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsGetResponseHeadRepoOwner;
-    permissions: PullsGetResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsGetResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsGetResponseHeadRepo;
-    sha: string;
-    user: PullsGetResponseHeadUser;
-  };
-  type PullsGetResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsGetResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsGetResponseBaseRepoOwner;
-    permissions: PullsGetResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsGetResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsGetResponseBaseRepo;
-    sha: string;
-    user: PullsGetResponseBaseUser;
-  };
-  type PullsGetResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsGetResponseLinksStatuses = { href: string };
-  type PullsGetResponseLinksSelf = { href: string };
-  type PullsGetResponseLinksReviewComments = { href: string };
-  type PullsGetResponseLinksReviewComment = { href: string };
-  type PullsGetResponseLinksIssue = { href: string };
-  type PullsGetResponseLinksHtml = { href: string };
-  type PullsGetResponseLinksCommits = { href: string };
-  type PullsGetResponseLinksComments = { href: string };
-  type PullsGetResponseLinks = {
-    comments: PullsGetResponseLinksComments;
-    commits: PullsGetResponseLinksCommits;
-    html: PullsGetResponseLinksHtml;
-    issue: PullsGetResponseLinksIssue;
-    review_comment: PullsGetResponseLinksReviewComment;
-    review_comments: PullsGetResponseLinksReviewComments;
-    self: PullsGetResponseLinksSelf;
-    statuses: PullsGetResponseLinksStatuses;
-  };
-  type PullsGetResponse = {
-    _links: PullsGetResponseLinks;
-    active_lock_reason: string;
-    additions: number;
-    assignee: PullsGetResponseAssignee;
-    assignees: Array<PullsGetResponseAssigneesItem>;
-    author_association: string;
-    base: PullsGetResponseBase;
-    body: string;
-    changed_files: number;
-    closed_at: string;
-    comments: number;
-    comments_url: string;
-    commits: number;
-    commits_url: string;
-    created_at: string;
-    deletions: number;
-    diff_url: string;
-    draft: boolean;
-    head: PullsGetResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsGetResponseLabelsItem>;
-    locked: boolean;
-    maintainer_can_modify: boolean;
-    merge_commit_sha: string;
-    mergeable: boolean;
-    mergeable_state: string;
-    merged: boolean;
-    merged_at: string;
-    merged_by: PullsGetResponseMergedBy;
-    milestone: PullsGetResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    rebaseable: boolean;
-    requested_reviewers: Array<PullsGetResponseRequestedReviewersItem>;
-    requested_teams: Array<PullsGetResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments: number;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsGetResponseUser;
-  };
-  type PullsDismissReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsDismissReviewResponseLinksPullRequest = { href: string };
-  type PullsDismissReviewResponseLinksHtml = { href: string };
-  type PullsDismissReviewResponseLinks = {
-    html: PullsDismissReviewResponseLinksHtml;
-    pull_request: PullsDismissReviewResponseLinksPullRequest;
-  };
-  type PullsDismissReviewResponse = {
-    _links: PullsDismissReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    user: PullsDismissReviewResponseUser;
-  };
-  type PullsDeletePendingReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsDeletePendingReviewResponseLinksPullRequest = { href: string };
-  type PullsDeletePendingReviewResponseLinksHtml = { href: string };
-  type PullsDeletePendingReviewResponseLinks = {
-    html: PullsDeletePendingReviewResponseLinksHtml;
-    pull_request: PullsDeletePendingReviewResponseLinksPullRequest;
-  };
-  type PullsDeletePendingReviewResponse = {
-    _links: PullsDeletePendingReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    user: PullsDeletePendingReviewResponseUser;
-  };
-  type PullsCreateReviewRequestResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsCreateReviewRequestResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsCreateReviewRequestResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateReviewRequestResponseHeadRepoOwner;
-    permissions: PullsCreateReviewRequestResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsCreateReviewRequestResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsCreateReviewRequestResponseHeadRepo;
-    sha: string;
-    user: PullsCreateReviewRequestResponseHeadUser;
-  };
-  type PullsCreateReviewRequestResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsCreateReviewRequestResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateReviewRequestResponseBaseRepoOwner;
-    permissions: PullsCreateReviewRequestResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsCreateReviewRequestResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsCreateReviewRequestResponseBaseRepo;
-    sha: string;
-    user: PullsCreateReviewRequestResponseBaseUser;
-  };
-  type PullsCreateReviewRequestResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewRequestResponseLinksStatuses = { href: string };
-  type PullsCreateReviewRequestResponseLinksSelf = { href: string };
-  type PullsCreateReviewRequestResponseLinksReviewComments = { href: string };
-  type PullsCreateReviewRequestResponseLinksReviewComment = { href: string };
-  type PullsCreateReviewRequestResponseLinksIssue = { href: string };
-  type PullsCreateReviewRequestResponseLinksHtml = { href: string };
-  type PullsCreateReviewRequestResponseLinksCommits = { href: string };
-  type PullsCreateReviewRequestResponseLinksComments = { href: string };
-  type PullsCreateReviewRequestResponseLinks = {
-    comments: PullsCreateReviewRequestResponseLinksComments;
-    commits: PullsCreateReviewRequestResponseLinksCommits;
-    html: PullsCreateReviewRequestResponseLinksHtml;
-    issue: PullsCreateReviewRequestResponseLinksIssue;
-    review_comment: PullsCreateReviewRequestResponseLinksReviewComment;
-    review_comments: PullsCreateReviewRequestResponseLinksReviewComments;
-    self: PullsCreateReviewRequestResponseLinksSelf;
-    statuses: PullsCreateReviewRequestResponseLinksStatuses;
-  };
-  type PullsCreateReviewRequestResponse = {
-    _links: PullsCreateReviewRequestResponseLinks;
-    active_lock_reason: string;
-    assignee: PullsCreateReviewRequestResponseAssignee;
-    assignees: Array<PullsCreateReviewRequestResponseAssigneesItem>;
-    author_association: string;
-    base: PullsCreateReviewRequestResponseBase;
-    body: string;
-    closed_at: string;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    diff_url: string;
-    draft: boolean;
-    head: PullsCreateReviewRequestResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsCreateReviewRequestResponseLabelsItem>;
-    locked: boolean;
-    merge_commit_sha: string;
-    merged_at: string;
-    milestone: PullsCreateReviewRequestResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    requested_reviewers: Array<
-      PullsCreateReviewRequestResponseRequestedReviewersItem
-    >;
-    requested_teams: Array<PullsCreateReviewRequestResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateReviewRequestResponseUser;
-  };
-  type PullsCreateReviewCommentReplyResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewCommentReplyResponseLinksSelf = { href: string };
-  type PullsCreateReviewCommentReplyResponseLinksPullRequest = { href: string };
-  type PullsCreateReviewCommentReplyResponseLinksHtml = { href: string };
-  type PullsCreateReviewCommentReplyResponseLinks = {
-    html: PullsCreateReviewCommentReplyResponseLinksHtml;
-    pull_request: PullsCreateReviewCommentReplyResponseLinksPullRequest;
-    self: PullsCreateReviewCommentReplyResponseLinksSelf;
-  };
-  type PullsCreateReviewCommentReplyResponse = {
-    _links: PullsCreateReviewCommentReplyResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    original_commit_id: string;
-    original_position: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateReviewCommentReplyResponseUser;
-  };
-  type PullsCreateReviewResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateReviewResponseLinksPullRequest = { href: string };
-  type PullsCreateReviewResponseLinksHtml = { href: string };
-  type PullsCreateReviewResponseLinks = {
-    html: PullsCreateReviewResponseLinksHtml;
-    pull_request: PullsCreateReviewResponseLinksPullRequest;
-  };
-  type PullsCreateReviewResponse = {
-    _links: PullsCreateReviewResponseLinks;
-    body: string;
-    commit_id: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    pull_request_url: string;
-    state: string;
-    user: PullsCreateReviewResponseUser;
-  };
-  type PullsCreateFromIssueResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsCreateFromIssueResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseMergedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsCreateFromIssueResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateFromIssueResponseHeadRepoOwner;
-    permissions: PullsCreateFromIssueResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsCreateFromIssueResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsCreateFromIssueResponseHeadRepo;
-    sha: string;
-    user: PullsCreateFromIssueResponseHeadUser;
-  };
-  type PullsCreateFromIssueResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsCreateFromIssueResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateFromIssueResponseBaseRepoOwner;
-    permissions: PullsCreateFromIssueResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsCreateFromIssueResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsCreateFromIssueResponseBaseRepo;
-    sha: string;
-    user: PullsCreateFromIssueResponseBaseUser;
-  };
-  type PullsCreateFromIssueResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateFromIssueResponseLinksStatuses = { href: string };
-  type PullsCreateFromIssueResponseLinksSelf = { href: string };
-  type PullsCreateFromIssueResponseLinksReviewComments = { href: string };
-  type PullsCreateFromIssueResponseLinksReviewComment = { href: string };
-  type PullsCreateFromIssueResponseLinksIssue = { href: string };
-  type PullsCreateFromIssueResponseLinksHtml = { href: string };
-  type PullsCreateFromIssueResponseLinksCommits = { href: string };
-  type PullsCreateFromIssueResponseLinksComments = { href: string };
-  type PullsCreateFromIssueResponseLinks = {
-    comments: PullsCreateFromIssueResponseLinksComments;
-    commits: PullsCreateFromIssueResponseLinksCommits;
-    html: PullsCreateFromIssueResponseLinksHtml;
-    issue: PullsCreateFromIssueResponseLinksIssue;
-    review_comment: PullsCreateFromIssueResponseLinksReviewComment;
-    review_comments: PullsCreateFromIssueResponseLinksReviewComments;
-    self: PullsCreateFromIssueResponseLinksSelf;
-    statuses: PullsCreateFromIssueResponseLinksStatuses;
-  };
-  type PullsCreateFromIssueResponse = {
-    _links: PullsCreateFromIssueResponseLinks;
-    active_lock_reason: string;
-    additions: number;
-    assignee: PullsCreateFromIssueResponseAssignee;
-    assignees: Array<PullsCreateFromIssueResponseAssigneesItem>;
-    author_association: string;
-    base: PullsCreateFromIssueResponseBase;
-    body: string;
-    changed_files: number;
-    closed_at: string;
-    comments: number;
-    comments_url: string;
-    commits: number;
-    commits_url: string;
-    created_at: string;
-    deletions: number;
-    diff_url: string;
-    draft: boolean;
-    head: PullsCreateFromIssueResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsCreateFromIssueResponseLabelsItem>;
-    locked: boolean;
-    maintainer_can_modify: boolean;
-    merge_commit_sha: string;
-    mergeable: boolean;
-    mergeable_state: string;
-    merged: boolean;
-    merged_at: string;
-    merged_by: PullsCreateFromIssueResponseMergedBy;
-    milestone: PullsCreateFromIssueResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    rebaseable: boolean;
-    requested_reviewers: Array<
-      PullsCreateFromIssueResponseRequestedReviewersItem
-    >;
-    requested_teams: Array<PullsCreateFromIssueResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments: number;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateFromIssueResponseUser;
-  };
-  type PullsCreateCommentReplyResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateCommentReplyResponseLinksSelf = { href: string };
-  type PullsCreateCommentReplyResponseLinksPullRequest = { href: string };
-  type PullsCreateCommentReplyResponseLinksHtml = { href: string };
-  type PullsCreateCommentReplyResponseLinks = {
-    html: PullsCreateCommentReplyResponseLinksHtml;
-    pull_request: PullsCreateCommentReplyResponseLinksPullRequest;
-    self: PullsCreateCommentReplyResponseLinksSelf;
-  };
-  type PullsCreateCommentReplyResponse = {
-    _links: PullsCreateCommentReplyResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateCommentReplyResponseUser;
-  };
-  type PullsCreateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateCommentResponseLinksSelf = { href: string };
-  type PullsCreateCommentResponseLinksPullRequest = { href: string };
-  type PullsCreateCommentResponseLinksHtml = { href: string };
-  type PullsCreateCommentResponseLinks = {
-    html: PullsCreateCommentResponseLinksHtml;
-    pull_request: PullsCreateCommentResponseLinksPullRequest;
-    self: PullsCreateCommentResponseLinksSelf;
-  };
-  type PullsCreateCommentResponse = {
-    _links: PullsCreateCommentResponseLinks;
-    author_association: string;
-    body: string;
-    commit_id: string;
-    created_at: string;
-    diff_hunk: string;
-    html_url: string;
-    id: number;
-    in_reply_to_id: number;
-    line: number;
-    node_id: string;
-    original_commit_id: string;
-    original_line: number;
-    original_position: number;
-    original_start_line: number;
-    path: string;
-    position: number;
-    pull_request_review_id: number;
-    pull_request_url: string;
-    side: string;
-    start_line: number;
-    start_side: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateCommentResponseUser;
-  };
-  type PullsCreateResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseRequestedTeamsItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type PullsCreateResponseRequestedReviewersItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: PullsCreateResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type PullsCreateResponseMergedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type PullsCreateResponseHeadUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseHeadRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsCreateResponseHeadRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseHeadRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateResponseHeadRepoOwner;
-    permissions: PullsCreateResponseHeadRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsCreateResponseHead = {
-    label: string;
-    ref: string;
-    repo: PullsCreateResponseHeadRepo;
-    sha: string;
-    user: PullsCreateResponseHeadUser;
-  };
-  type PullsCreateResponseBaseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseBaseRepoPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type PullsCreateResponseBaseRepoOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseBaseRepo = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: PullsCreateResponseBaseRepoOwner;
-    permissions: PullsCreateResponseBaseRepoPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type PullsCreateResponseBase = {
-    label: string;
-    ref: string;
-    repo: PullsCreateResponseBaseRepo;
-    sha: string;
-    user: PullsCreateResponseBaseUser;
-  };
-  type PullsCreateResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type PullsCreateResponseLinksStatuses = { href: string };
-  type PullsCreateResponseLinksSelf = { href: string };
-  type PullsCreateResponseLinksReviewComments = { href: string };
-  type PullsCreateResponseLinksReviewComment = { href: string };
-  type PullsCreateResponseLinksIssue = { href: string };
-  type PullsCreateResponseLinksHtml = { href: string };
-  type PullsCreateResponseLinksCommits = { href: string };
-  type PullsCreateResponseLinksComments = { href: string };
-  type PullsCreateResponseLinks = {
-    comments: PullsCreateResponseLinksComments;
-    commits: PullsCreateResponseLinksCommits;
-    html: PullsCreateResponseLinksHtml;
-    issue: PullsCreateResponseLinksIssue;
-    review_comment: PullsCreateResponseLinksReviewComment;
-    review_comments: PullsCreateResponseLinksReviewComments;
-    self: PullsCreateResponseLinksSelf;
-    statuses: PullsCreateResponseLinksStatuses;
-  };
-  type PullsCreateResponse = {
-    _links: PullsCreateResponseLinks;
-    active_lock_reason: string;
-    additions: number;
-    assignee: PullsCreateResponseAssignee;
-    assignees: Array<PullsCreateResponseAssigneesItem>;
-    author_association: string;
-    base: PullsCreateResponseBase;
-    body: string;
-    changed_files: number;
-    closed_at: string;
-    comments: number;
-    comments_url: string;
-    commits: number;
-    commits_url: string;
-    created_at: string;
-    deletions: number;
-    diff_url: string;
-    draft: boolean;
-    head: PullsCreateResponseHead;
-    html_url: string;
-    id: number;
-    issue_url: string;
-    labels: Array<PullsCreateResponseLabelsItem>;
-    locked: boolean;
-    maintainer_can_modify: boolean;
-    merge_commit_sha: string;
-    mergeable: boolean;
-    mergeable_state: string;
-    merged: boolean;
-    merged_at: string;
-    merged_by: PullsCreateResponseMergedBy;
-    milestone: PullsCreateResponseMilestone;
-    node_id: string;
-    number: number;
-    patch_url: string;
-    rebaseable: boolean;
-    requested_reviewers: Array<PullsCreateResponseRequestedReviewersItem>;
-    requested_teams: Array<PullsCreateResponseRequestedTeamsItem>;
-    review_comment_url: string;
-    review_comments: number;
-    review_comments_url: string;
-    state: string;
-    statuses_url: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: PullsCreateResponseUser;
-  };
-  type ProjectsUpdateColumnResponse = {
-    cards_url: string;
-    created_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsUpdateCardResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsUpdateCardResponse = {
-    archived: boolean;
-    column_url: string;
-    content_url: string;
-    created_at: string;
-    creator: ProjectsUpdateCardResponseCreator;
-    id: number;
-    node_id: string;
-    note: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsUpdateResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsUpdateResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsUpdateResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsReviewUserPermissionLevelResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsReviewUserPermissionLevelResponse = {
-    permission: string;
-    user: ProjectsReviewUserPermissionLevelResponseUser;
-  };
-  type ProjectsListForUserResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsListForUserResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsListForUserResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsListForRepoResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsListForRepoResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsListForRepoResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsListForOrgResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsListForOrgResponseItem = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsListForOrgResponseItemCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsListColumnsResponseItem = {
-    cards_url: string;
-    created_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsListCollaboratorsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsListCardsResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsListCardsResponseItem = {
-    archived: boolean;
-    column_url: string;
-    content_url: string;
-    created_at: string;
-    creator: ProjectsListCardsResponseItemCreator;
-    id: number;
-    node_id: string;
-    note: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsGetColumnResponse = {
-    cards_url: string;
-    created_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsGetCardResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsGetCardResponse = {
-    archived: boolean;
-    column_url: string;
-    content_url: string;
-    created_at: string;
-    creator: ProjectsGetCardResponseCreator;
-    id: number;
-    node_id: string;
-    note: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsGetResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsGetResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsGetResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsCreateForRepoResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsCreateForRepoResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsCreateForRepoResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsCreateForOrgResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsCreateForOrgResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsCreateForOrgResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsCreateForAuthenticatedUserResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsCreateForAuthenticatedUserResponse = {
-    body: string;
-    columns_url: string;
-    created_at: string;
-    creator: ProjectsCreateForAuthenticatedUserResponseCreator;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    number: number;
-    owner_url: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsCreateColumnResponse = {
-    cards_url: string;
-    created_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type ProjectsCreateCardResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ProjectsCreateCardResponse = {
-    archived: boolean;
-    column_url: string;
-    content_url: string;
-    created_at: string;
-    creator: ProjectsCreateCardResponseCreator;
-    id: number;
-    node_id: string;
-    note: string;
-    project_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type OrgsUpdateMembershipResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsUpdateMembershipResponseOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type OrgsUpdateMembershipResponse = {
-    organization: OrgsUpdateMembershipResponseOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsUpdateMembershipResponseUser;
-  };
-  type OrgsUpdateHookResponseConfig = { content_type: string; url: string };
-  type OrgsUpdateHookResponse = {
-    active: boolean;
-    config: OrgsUpdateHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    name: string;
-    ping_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type OrgsUpdateResponsePlan = {
-    name: string;
-    private_repos: number;
-    space: number;
-  };
-  type OrgsUpdateResponse = {
-    avatar_url: string;
-    billing_email: string;
-    blog: string;
-    collaborators: number;
-    company: string;
-    created_at: string;
-    default_repository_permission: string;
-    description: string;
-    disk_usage: number;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_allowed_repository_creation_type: string;
-    members_can_create_internal_repositories: boolean;
-    members_can_create_private_repositories: boolean;
-    members_can_create_public_repositories: boolean;
-    members_can_create_repositories: boolean;
-    members_url: string;
-    name: string;
-    node_id: string;
-    owned_private_repos: number;
-    plan: OrgsUpdateResponsePlan;
-    private_gists: number;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    total_private_repos: number;
-    two_factor_requirement_enabled: boolean;
-    type: string;
-    url: string;
-  };
-  type OrgsRemoveOutsideCollaboratorResponse = {
-    documentation_url: string;
-    message: string;
-  };
-  type OrgsListPublicMembersResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsListPendingInvitationsResponseItemInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsListPendingInvitationsResponseItem = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: OrgsListPendingInvitationsResponseItemInviter;
-    login: string;
-    role: string;
-    team_count: number;
-  };
-  type OrgsListOutsideCollaboratorsResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsListMembershipsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsListMembershipsResponseItemOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type OrgsListMembershipsResponseItem = {
-    organization: OrgsListMembershipsResponseItemOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsListMembershipsResponseItemUser;
-  };
-  type OrgsListMembersResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsListInvitationTeamsResponseItem = {
-    description: string;
-    html_url: string;
-    id: number;
-    members_url: string;
-    name: string;
-    node_id: string;
-    parent: null;
-    permission: string;
-    privacy: string;
-    repositories_url: string;
-    slug: string;
-    url: string;
-  };
-  type OrgsListInstallationsResponseInstallationsItemPermissions = {
-    deployments: string;
-    metadata: string;
-    pull_requests: string;
-    statuses: string;
-  };
-  type OrgsListInstallationsResponseInstallationsItemAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsListInstallationsResponseInstallationsItem = {
-    access_tokens_url: string;
-    account: OrgsListInstallationsResponseInstallationsItemAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: OrgsListInstallationsResponseInstallationsItemPermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-  };
-  type OrgsListInstallationsResponse = {
-    installations: Array<OrgsListInstallationsResponseInstallationsItem>;
-    total_count: number;
-  };
-  type OrgsListHooksResponseItemConfig = { content_type: string; url: string };
-  type OrgsListHooksResponseItem = {
-    active: boolean;
-    config: OrgsListHooksResponseItemConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    name: string;
-    ping_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type OrgsListForUserResponseItem = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type OrgsListForAuthenticatedUserResponseItem = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type OrgsListBlockedUsersResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsListResponseItem = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type OrgsGetMembershipForAuthenticatedUserResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsGetMembershipForAuthenticatedUserResponseOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type OrgsGetMembershipForAuthenticatedUserResponse = {
-    organization: OrgsGetMembershipForAuthenticatedUserResponseOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsGetMembershipForAuthenticatedUserResponseUser;
-  };
-  type OrgsGetMembershipResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsGetMembershipResponseOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type OrgsGetMembershipResponse = {
-    organization: OrgsGetMembershipResponseOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsGetMembershipResponseUser;
-  };
-  type OrgsGetHookResponseConfig = { content_type: string; url: string };
-  type OrgsGetHookResponse = {
-    active: boolean;
-    config: OrgsGetHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    name: string;
-    ping_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type OrgsGetResponsePlan = {
-    name: string;
-    private_repos: number;
-    space: number;
-    filled_seats?: number;
-    seats?: number;
-  };
-  type OrgsGetResponse = {
-    avatar_url: string;
-    billing_email?: string;
-    blog: string;
-    collaborators?: number;
-    company: string;
-    created_at: string;
-    default_repository_permission?: string;
-    description: string;
-    disk_usage?: number;
-    email: string;
-    events_url: string;
-    followers: number;
-    following: number;
-    has_organization_projects: boolean;
-    has_repository_projects: boolean;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_verified: boolean;
-    issues_url: string;
-    location: string;
-    login: string;
-    members_allowed_repository_creation_type?: string;
-    members_can_create_internal_repositories?: boolean;
-    members_can_create_private_repositories?: boolean;
-    members_can_create_public_repositories?: boolean;
-    members_can_create_repositories?: boolean;
-    members_url: string;
-    name: string;
-    node_id: string;
-    owned_private_repos?: number;
-    plan: OrgsGetResponsePlan;
-    private_gists?: number;
-    public_gists: number;
-    public_members_url: string;
-    public_repos: number;
-    repos_url: string;
-    total_private_repos?: number;
-    two_factor_requirement_enabled?: boolean;
-    type: string;
-    url: string;
-  };
-  type OrgsCreateInvitationResponseInviter = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsCreateInvitationResponse = {
-    created_at: string;
-    email: string;
-    id: number;
-    invitation_team_url: string;
-    inviter: OrgsCreateInvitationResponseInviter;
-    login: string;
-    role: string;
-    team_count: number;
-  };
-  type OrgsCreateHookResponseConfig = { content_type: string; url: string };
-  type OrgsCreateHookResponse = {
-    active: boolean;
-    config: OrgsCreateHookResponseConfig;
-    created_at: string;
-    events: Array<string>;
-    id: number;
-    name: string;
-    ping_url: string;
-    updated_at: string;
-    url: string;
-  };
-  type OrgsConvertMemberToOutsideCollaboratorResponse = {
-    documentation_url: string;
-    message: string;
-  };
-  type OrgsAddOrUpdateMembershipResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OrgsAddOrUpdateMembershipResponseOrganization = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type OrgsAddOrUpdateMembershipResponse = {
-    organization: OrgsAddOrUpdateMembershipResponseOrganization;
-    organization_url: string;
-    role: string;
-    state: string;
-    url: string;
-    user: OrgsAddOrUpdateMembershipResponseUser;
-  };
-  type OauthAuthorizationsUpdateAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsUpdateAuthorizationResponse = {
-    app: OauthAuthorizationsUpdateAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsResetAuthorizationResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OauthAuthorizationsResetAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsResetAuthorizationResponse = {
-    app: OauthAuthorizationsResetAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: OauthAuthorizationsResetAuthorizationResponseUser;
-  };
-  type OauthAuthorizationsListGrantsResponseItemApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsListGrantsResponseItem = {
-    app: OauthAuthorizationsListGrantsResponseItemApp;
-    created_at: string;
-    id: number;
-    scopes: Array<string>;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsListAuthorizationsResponseItemApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsListAuthorizationsResponseItem = {
-    app: OauthAuthorizationsListAuthorizationsResponseItemApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintResponse = {
-    app: OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponse = {
-    app: OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetOrCreateAuthorizationForAppResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetOrCreateAuthorizationForAppResponse = {
-    app: OauthAuthorizationsGetOrCreateAuthorizationForAppResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetGrantResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetGrantResponse = {
-    app: OauthAuthorizationsGetGrantResponseApp;
-    created_at: string;
-    id: number;
-    scopes: Array<string>;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsGetAuthorizationResponse = {
-    app: OauthAuthorizationsGetAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsCreateAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsCreateAuthorizationResponse = {
-    app: OauthAuthorizationsCreateAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-  };
-  type OauthAuthorizationsCheckAuthorizationResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type OauthAuthorizationsCheckAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type OauthAuthorizationsCheckAuthorizationResponse = {
-    app: OauthAuthorizationsCheckAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: OauthAuthorizationsCheckAuthorizationResponseUser;
-  };
-  type MigrationsUpdateImportResponse = {
-    authors_url: string;
-    html_url: string;
-    repository_url: string;
-    status: string;
-    url: string;
-    use_lfs: string;
-    vcs: string;
-    vcs_url: string;
-    authors_count?: number;
-    commit_count?: number;
-    has_large_files?: boolean;
-    large_files_count?: number;
-    large_files_size?: number;
-    percent?: number;
-    status_text?: string;
-    tfvc_project?: string;
-  };
-  type MigrationsStartImportResponse = {
-    authors_count: number;
-    authors_url: string;
-    commit_count: number;
-    has_large_files: boolean;
-    html_url: string;
-    large_files_count: number;
-    large_files_size: number;
-    percent: number;
-    repository_url: string;
-    status: string;
-    status_text: string;
-    url: string;
-    use_lfs: string;
-    vcs: string;
-    vcs_url: string;
-  };
-  type MigrationsStartForOrgResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type MigrationsStartForOrgResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsStartForOrgResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsStartForOrgResponseRepositoriesItemOwner;
-    permissions: MigrationsStartForOrgResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type MigrationsStartForOrgResponseOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type MigrationsStartForOrgResponse = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsStartForOrgResponseOwner;
-    repositories: Array<MigrationsStartForOrgResponseRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type MigrationsStartForAuthenticatedUserResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type MigrationsStartForAuthenticatedUserResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsStartForAuthenticatedUserResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsStartForAuthenticatedUserResponseRepositoriesItemOwner;
-    permissions: MigrationsStartForAuthenticatedUserResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type MigrationsStartForAuthenticatedUserResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsStartForAuthenticatedUserResponse = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsStartForAuthenticatedUserResponseOwner;
-    repositories: Array<
-      MigrationsStartForAuthenticatedUserResponseRepositoriesItem
-    >;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type MigrationsSetLfsPreferenceResponse = {
-    authors_count: number;
-    authors_url: string;
-    has_large_files: boolean;
-    html_url: string;
-    large_files_count: number;
-    large_files_size: number;
-    repository_url: string;
-    status: string;
-    status_text: string;
-    url: string;
-    use_lfs: string;
-    vcs: string;
-    vcs_url: string;
-  };
-  type MigrationsMapCommitAuthorResponse = {
-    email: string;
-    id: number;
-    import_url: string;
-    name: string;
-    remote_id: string;
-    remote_name: string;
-    url: string;
-  };
-  type MigrationsListReposForUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type MigrationsListReposForUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsListReposForUserResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type MigrationsListReposForUserResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: MigrationsListReposForUserResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsListReposForUserResponseItemOwner;
-    permissions: MigrationsListReposForUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type MigrationsListReposForOrgResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type MigrationsListReposForOrgResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsListReposForOrgResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type MigrationsListReposForOrgResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: MigrationsListReposForOrgResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsListReposForOrgResponseItemOwner;
-    permissions: MigrationsListReposForOrgResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type MigrationsListForOrgResponseItemRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type MigrationsListForOrgResponseItemRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsListForOrgResponseItemRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsListForOrgResponseItemRepositoriesItemOwner;
-    permissions: MigrationsListForOrgResponseItemRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type MigrationsListForOrgResponseItemOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type MigrationsListForOrgResponseItem = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsListForOrgResponseItemOwner;
-    repositories: Array<MigrationsListForOrgResponseItemRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type MigrationsListForAuthenticatedUserResponseItemRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type MigrationsListForAuthenticatedUserResponseItemRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsListForAuthenticatedUserResponseItemRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsListForAuthenticatedUserResponseItemRepositoriesItemOwner;
-    permissions: MigrationsListForAuthenticatedUserResponseItemRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type MigrationsListForAuthenticatedUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsListForAuthenticatedUserResponseItem = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsListForAuthenticatedUserResponseItemOwner;
-    repositories: Array<
-      MigrationsListForAuthenticatedUserResponseItemRepositoriesItem
-    >;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type MigrationsGetStatusForOrgResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type MigrationsGetStatusForOrgResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsGetStatusForOrgResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsGetStatusForOrgResponseRepositoriesItemOwner;
-    permissions: MigrationsGetStatusForOrgResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type MigrationsGetStatusForOrgResponseOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type MigrationsGetStatusForOrgResponse = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsGetStatusForOrgResponseOwner;
-    repositories: Array<MigrationsGetStatusForOrgResponseRepositoriesItem>;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItemOwner;
-    permissions: MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type MigrationsGetStatusForAuthenticatedUserResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type MigrationsGetStatusForAuthenticatedUserResponse = {
-    created_at: string;
-    exclude_attachments: boolean;
-    guid: string;
-    id: number;
-    lock_repositories: boolean;
-    owner: MigrationsGetStatusForAuthenticatedUserResponseOwner;
-    repositories: Array<
-      MigrationsGetStatusForAuthenticatedUserResponseRepositoriesItem
-    >;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type MigrationsGetLargeFilesResponseItem = {
-    oid: string;
-    path: string;
-    ref_name: string;
-    size: number;
-  };
-  type MigrationsGetImportProgressResponse = {
-    authors_count: number;
-    authors_url: string;
-    has_large_files: boolean;
-    html_url: string;
-    large_files_count: number;
-    large_files_size: number;
-    repository_url: string;
-    status: string;
-    status_text: string;
-    url: string;
-    use_lfs: string;
-    vcs: string;
-    vcs_url: string;
-  };
-  type MigrationsGetCommitAuthorsResponseItem = {
-    email: string;
-    id: number;
-    import_url: string;
-    name: string;
-    remote_id: string;
-    remote_name: string;
-    url: string;
-  };
-  type MetaGetResponseSshKeyFingerprints = {
-    MD5_DSA: string;
-    MD5_RSA: string;
-    SHA256_DSA: string;
-    SHA256_RSA: string;
-  };
-  type MetaGetResponse = {
-    api: Array<string>;
-    git: Array<string>;
-    hooks: Array<string>;
-    importer: Array<string>;
-    pages: Array<string>;
-    ssh_key_fingerprints: MetaGetResponseSshKeyFingerprints;
-    verifiable_password_authentication: boolean;
-    web: Array<string>;
-  };
-  type LicensesListCommonlyUsedResponseItem = {
-    key: string;
-    name: string;
-    node_id?: string;
-    spdx_id: string;
-    url: string;
-  };
-  type LicensesListResponseItem = {
-    key: string;
-    name: string;
-    node_id?: string;
-    spdx_id: string;
-    url: string;
-  };
-  type LicensesGetForRepoResponseLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type LicensesGetForRepoResponseLinks = {
-    git: string;
-    html: string;
-    self: string;
-  };
-  type LicensesGetForRepoResponse = {
-    _links: LicensesGetForRepoResponseLinks;
-    content: string;
-    download_url: string;
-    encoding: string;
-    git_url: string;
-    html_url: string;
-    license: LicensesGetForRepoResponseLicense;
-    name: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-  };
-  type LicensesGetResponse = {
-    body: string;
-    conditions: Array<string>;
-    description: string;
-    featured: boolean;
-    html_url: string;
-    implementation: string;
-    key: string;
-    limitations: Array<string>;
-    name: string;
-    node_id: string;
-    permissions: Array<string>;
-    spdx_id: string;
-    url: string;
-  };
-  type IssuesUpdateMilestoneResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesUpdateMilestoneResponse = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesUpdateMilestoneResponseCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesUpdateLabelResponse = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesUpdateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesUpdateCommentResponse = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesUpdateCommentResponseUser;
-  };
-  type IssuesUpdateResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesUpdateResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesUpdateResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesUpdateResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesUpdateResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesUpdateResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesUpdateResponseClosedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesUpdateResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesUpdateResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesUpdateResponse = {
-    active_lock_reason: string;
-    assignee: IssuesUpdateResponseAssignee;
-    assignees: Array<IssuesUpdateResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    closed_by: IssuesUpdateResponseClosedBy;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesUpdateResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesUpdateResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesUpdateResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesUpdateResponseUser;
-  };
-  type IssuesReplaceLabelsResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesRemoveLabelResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesRemoveAssigneesResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesRemoveAssigneesResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesRemoveAssigneesResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesRemoveAssigneesResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesRemoveAssigneesResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesRemoveAssigneesResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesRemoveAssigneesResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesRemoveAssigneesResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesRemoveAssigneesResponse = {
-    active_lock_reason: string;
-    assignee: IssuesRemoveAssigneesResponseAssignee;
-    assignees: Array<IssuesRemoveAssigneesResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesRemoveAssigneesResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesRemoveAssigneesResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesRemoveAssigneesResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesRemoveAssigneesResponseUser;
-  };
-  type IssuesListMilestonesForRepoResponseItemCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListMilestonesForRepoResponseItem = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListMilestonesForRepoResponseItemCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesListLabelsOnIssueResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListLabelsForRepoResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListLabelsForMilestoneResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListForRepoResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForRepoResponseItemPullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesListForRepoResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForRepoResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListForRepoResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesListForRepoResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListForRepoResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForRepoResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForRepoResponseItem = {
-    active_lock_reason: string;
-    assignee: IssuesListForRepoResponseItemAssignee;
-    assignees: Array<IssuesListForRepoResponseItemAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListForRepoResponseItemLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListForRepoResponseItemMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListForRepoResponseItemPullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListForRepoResponseItemUser;
-  };
-  type IssuesListForOrgResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForOrgResponseItemRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type IssuesListForOrgResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForOrgResponseItemRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: IssuesListForOrgResponseItemRepositoryOwner;
-    permissions: IssuesListForOrgResponseItemRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type IssuesListForOrgResponseItemPullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesListForOrgResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForOrgResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListForOrgResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesListForOrgResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListForOrgResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForOrgResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForOrgResponseItem = {
-    active_lock_reason: string;
-    assignee: IssuesListForOrgResponseItemAssignee;
-    assignees: Array<IssuesListForOrgResponseItemAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListForOrgResponseItemLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListForOrgResponseItemMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListForOrgResponseItemPullRequest;
-    repository: IssuesListForOrgResponseItemRepository;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListForOrgResponseItemUser;
-  };
-  type IssuesListForAuthenticatedUserResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForAuthenticatedUserResponseItemRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type IssuesListForAuthenticatedUserResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForAuthenticatedUserResponseItemRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: IssuesListForAuthenticatedUserResponseItemRepositoryOwner;
-    permissions: IssuesListForAuthenticatedUserResponseItemRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type IssuesListForAuthenticatedUserResponseItemPullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesListForAuthenticatedUserResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForAuthenticatedUserResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListForAuthenticatedUserResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesListForAuthenticatedUserResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListForAuthenticatedUserResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForAuthenticatedUserResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListForAuthenticatedUserResponseItem = {
-    active_lock_reason: string;
-    assignee: IssuesListForAuthenticatedUserResponseItemAssignee;
-    assignees: Array<IssuesListForAuthenticatedUserResponseItemAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListForAuthenticatedUserResponseItemLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListForAuthenticatedUserResponseItemMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListForAuthenticatedUserResponseItemPullRequest;
-    repository: IssuesListForAuthenticatedUserResponseItemRepository;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListForAuthenticatedUserResponseItemUser;
-  };
-  type IssuesListEventsForTimelineResponseItemActor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListEventsForTimelineResponseItem = {
-    actor: IssuesListEventsForTimelineResponseItemActor;
-    commit_id: string;
-    commit_url: string;
-    created_at: string;
-    event: string;
-    id: number;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItemIssueUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItemIssuePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItemIssueMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItemIssueMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListEventsForRepoResponseItemIssueMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItemIssueLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItemIssueAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItemIssueAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItemIssue = {
-    active_lock_reason: string;
-    assignee: IssuesListEventsForRepoResponseItemIssueAssignee;
-    assignees: Array<IssuesListEventsForRepoResponseItemIssueAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListEventsForRepoResponseItemIssueLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListEventsForRepoResponseItemIssueMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListEventsForRepoResponseItemIssuePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListEventsForRepoResponseItemIssueUser;
-  };
-  type IssuesListEventsForRepoResponseItemActor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListEventsForRepoResponseItem = {
-    actor: IssuesListEventsForRepoResponseItemActor;
-    commit_id: string;
-    commit_url: string;
-    created_at: string;
-    event: string;
-    id: number;
-    issue: IssuesListEventsForRepoResponseItemIssue;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListEventsResponseItemActor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListEventsResponseItem = {
-    actor: IssuesListEventsResponseItemActor;
-    commit_id: string;
-    commit_url: string;
-    created_at: string;
-    event: string;
-    id: number;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListCommentsForRepoResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListCommentsForRepoResponseItem = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListCommentsForRepoResponseItemUser;
-  };
-  type IssuesListCommentsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListCommentsResponseItem = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListCommentsResponseItemUser;
-  };
-  type IssuesListAssigneesResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListResponseItemRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type IssuesListResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListResponseItemRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: IssuesListResponseItemRepositoryOwner;
-    permissions: IssuesListResponseItemRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type IssuesListResponseItemPullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesListResponseItemMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListResponseItemMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesListResponseItemMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesListResponseItemLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesListResponseItemAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListResponseItemAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesListResponseItem = {
-    active_lock_reason: string;
-    assignee: IssuesListResponseItemAssignee;
-    assignees: Array<IssuesListResponseItemAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesListResponseItemLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesListResponseItemMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesListResponseItemPullRequest;
-    repository: IssuesListResponseItemRepository;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesListResponseItemUser;
-  };
-  type IssuesGetMilestoneResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetMilestoneResponse = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesGetMilestoneResponseCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesGetLabelResponse = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesGetEventResponseIssueUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetEventResponseIssuePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesGetEventResponseIssueMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetEventResponseIssueMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesGetEventResponseIssueMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesGetEventResponseIssueLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesGetEventResponseIssueAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetEventResponseIssueAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetEventResponseIssue = {
-    active_lock_reason: string;
-    assignee: IssuesGetEventResponseIssueAssignee;
-    assignees: Array<IssuesGetEventResponseIssueAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesGetEventResponseIssueLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesGetEventResponseIssueMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesGetEventResponseIssuePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesGetEventResponseIssueUser;
-  };
-  type IssuesGetEventResponseActor = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetEventResponse = {
-    actor: IssuesGetEventResponseActor;
-    commit_id: string;
-    commit_url: string;
-    created_at: string;
-    event: string;
-    id: number;
-    issue: IssuesGetEventResponseIssue;
-    node_id: string;
-    url: string;
-  };
-  type IssuesGetCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetCommentResponse = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesGetCommentResponseUser;
-  };
-  type IssuesGetResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesGetResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesGetResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesGetResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesGetResponseClosedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesGetResponse = {
-    active_lock_reason: string;
-    assignee: IssuesGetResponseAssignee;
-    assignees: Array<IssuesGetResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    closed_by: IssuesGetResponseClosedBy;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesGetResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesGetResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesGetResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesGetResponseUser;
-  };
-  type IssuesCreateMilestoneResponseCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesCreateMilestoneResponse = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesCreateMilestoneResponseCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesCreateLabelResponse = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesCreateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesCreateCommentResponse = {
-    body: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: IssuesCreateCommentResponseUser;
-  };
-  type IssuesCreateResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesCreateResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesCreateResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesCreateResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesCreateResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesCreateResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesCreateResponseClosedBy = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesCreateResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesCreateResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesCreateResponse = {
-    active_lock_reason: string;
-    assignee: IssuesCreateResponseAssignee;
-    assignees: Array<IssuesCreateResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    closed_by: IssuesCreateResponseClosedBy;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesCreateResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesCreateResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesCreateResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesCreateResponseUser;
-  };
-  type IssuesAddLabelsResponseItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesAddAssigneesResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesAddAssigneesResponsePullRequest = {
-    diff_url: string;
-    html_url: string;
-    patch_url: string;
-    url: string;
-  };
-  type IssuesAddAssigneesResponseMilestoneCreator = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesAddAssigneesResponseMilestone = {
-    closed_at: string;
-    closed_issues: number;
-    created_at: string;
-    creator: IssuesAddAssigneesResponseMilestoneCreator;
-    description: string;
-    due_on: string;
-    html_url: string;
-    id: number;
-    labels_url: string;
-    node_id: string;
-    number: number;
-    open_issues: number;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-  };
-  type IssuesAddAssigneesResponseLabelsItem = {
-    color: string;
-    default: boolean;
-    description: string;
-    id: number;
-    name: string;
-    node_id: string;
-    url: string;
-  };
-  type IssuesAddAssigneesResponseAssigneesItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesAddAssigneesResponseAssignee = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type IssuesAddAssigneesResponse = {
-    active_lock_reason: string;
-    assignee: IssuesAddAssigneesResponseAssignee;
-    assignees: Array<IssuesAddAssigneesResponseAssigneesItem>;
-    body: string;
-    closed_at: null;
-    comments: number;
-    comments_url: string;
-    created_at: string;
-    events_url: string;
-    html_url: string;
-    id: number;
-    labels: Array<IssuesAddAssigneesResponseLabelsItem>;
-    labels_url: string;
-    locked: boolean;
-    milestone: IssuesAddAssigneesResponseMilestone;
-    node_id: string;
-    number: number;
-    pull_request: IssuesAddAssigneesResponsePullRequest;
-    repository_url: string;
-    state: string;
-    title: string;
-    updated_at: string;
-    url: string;
-    user: IssuesAddAssigneesResponseUser;
-  };
-  type InteractionsGetRestrictionsForRepoResponse = {
-    expires_at: string;
-    limit: string;
-    origin: string;
-  };
-  type InteractionsGetRestrictionsForOrgResponse = {
-    expires_at: string;
-    limit: string;
-    origin: string;
-  };
-  type InteractionsAddOrUpdateRestrictionsForRepoResponse = {
-    expires_at: string;
-    limit: string;
-    origin: string;
-  };
-  type InteractionsAddOrUpdateRestrictionsForOrgResponse = {
-    expires_at: string;
-    limit: string;
-    origin: string;
-  };
-  type GitignoreGetTemplateResponse = { name: string; source: string };
-  type GitUpdateRefResponseObject = { sha: string; type: string; url: string };
-  type GitUpdateRefResponse = {
-    node_id: string;
-    object: GitUpdateRefResponseObject;
-    ref: string;
-    url: string;
-  };
-  type GitListMatchingRefsResponseItemObject = {
-    sha: string;
-    type: string;
-    url: string;
-  };
-  type GitListMatchingRefsResponseItem = {
-    node_id: string;
-    object: GitListMatchingRefsResponseItemObject;
-    ref: string;
-    url: string;
-  };
-  type GitGetTreeResponseTreeItem = {
-    mode: string;
-    path: string;
-    sha: string;
-    size?: number;
-    type: string;
-    url: string;
-  };
-  type GitGetTreeResponse = {
-    sha: string;
-    tree: Array<GitGetTreeResponseTreeItem>;
-    truncated: boolean;
-    url: string;
-  };
-  type GitGetTagResponseVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type GitGetTagResponseTagger = { date: string; email: string; name: string };
-  type GitGetTagResponseObject = { sha: string; type: string; url: string };
-  type GitGetTagResponse = {
-    message: string;
-    node_id: string;
-    object: GitGetTagResponseObject;
-    sha: string;
-    tag: string;
-    tagger: GitGetTagResponseTagger;
-    url: string;
-    verification: GitGetTagResponseVerification;
-  };
-  type GitGetRefResponseObject = { sha: string; type: string; url: string };
-  type GitGetRefResponse = {
-    node_id: string;
-    object: GitGetRefResponseObject;
-    ref: string;
-    url: string;
-  };
-  type GitGetCommitResponseVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type GitGetCommitResponseTree = { sha: string; url: string };
-  type GitGetCommitResponseParentsItem = { sha: string; url: string };
-  type GitGetCommitResponseCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type GitGetCommitResponseAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type GitGetCommitResponse = {
-    author: GitGetCommitResponseAuthor;
-    committer: GitGetCommitResponseCommitter;
-    message: string;
-    parents: Array<GitGetCommitResponseParentsItem>;
-    sha: string;
-    tree: GitGetCommitResponseTree;
-    url: string;
-    verification: GitGetCommitResponseVerification;
-  };
-  type GitGetBlobResponse = {
-    content: string;
-    encoding: string;
-    sha: string;
-    size: number;
-    url: string;
-  };
-  type GitCreateTreeResponseTreeItem = {
-    mode: string;
-    path: string;
-    sha: string;
-    size: number;
-    type: string;
-    url: string;
-  };
-  type GitCreateTreeResponse = {
-    sha: string;
-    tree: Array<GitCreateTreeResponseTreeItem>;
-    url: string;
-  };
-  type GitCreateTagResponseVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type GitCreateTagResponseTagger = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type GitCreateTagResponseObject = { sha: string; type: string; url: string };
-  type GitCreateTagResponse = {
-    message: string;
-    node_id: string;
-    object: GitCreateTagResponseObject;
-    sha: string;
-    tag: string;
-    tagger: GitCreateTagResponseTagger;
-    url: string;
-    verification: GitCreateTagResponseVerification;
-  };
-  type GitCreateRefResponseObject = { sha: string; type: string; url: string };
-  type GitCreateRefResponse = {
-    node_id: string;
-    object: GitCreateRefResponseObject;
-    ref: string;
-    url: string;
-  };
-  type GitCreateCommitResponseVerification = {
-    payload: null;
-    reason: string;
-    signature: null;
-    verified: boolean;
-  };
-  type GitCreateCommitResponseTree = { sha: string; url: string };
-  type GitCreateCommitResponseParentsItem = { sha: string; url: string };
-  type GitCreateCommitResponseCommitter = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type GitCreateCommitResponseAuthor = {
-    date: string;
-    email: string;
-    name: string;
-  };
-  type GitCreateCommitResponse = {
-    author: GitCreateCommitResponseAuthor;
-    committer: GitCreateCommitResponseCommitter;
-    message: string;
-    node_id: string;
-    parents: Array<GitCreateCommitResponseParentsItem>;
-    sha: string;
-    tree: GitCreateCommitResponseTree;
-    url: string;
-    verification: GitCreateCommitResponseVerification;
-  };
-  type GitCreateBlobResponse = { sha: string; url: string };
-  type GistsUpdateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsUpdateCommentResponse = {
-    body: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: GistsUpdateCommentResponseUser;
-  };
-  type GistsUpdateResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsUpdateResponseHistoryItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsUpdateResponseHistoryItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-  };
-  type GistsUpdateResponseHistoryItem = {
-    change_status: GistsUpdateResponseHistoryItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsUpdateResponseHistoryItemUser;
-    version: string;
-  };
-  type GistsUpdateResponseForksItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsUpdateResponseForksItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsUpdateResponseForksItemUser;
-  };
-  type GistsUpdateResponseFilesNewFileTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsUpdateResponseFilesHelloWorldRb = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsUpdateResponseFilesHelloWorldPy = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsUpdateResponseFilesHelloWorldMd = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsUpdateResponseFiles = {
-    "hello_world.md": GistsUpdateResponseFilesHelloWorldMd;
-    "hello_world.py": GistsUpdateResponseFilesHelloWorldPy;
-    "hello_world.rb": GistsUpdateResponseFilesHelloWorldRb;
-    "new_file.txt": GistsUpdateResponseFilesNewFileTxt;
-  };
-  type GistsUpdateResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsUpdateResponseFiles;
-    forks: Array<GistsUpdateResponseForksItem>;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    history: Array<GistsUpdateResponseHistoryItem>;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsUpdateResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type GistsListStarredResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsListStarredResponseItemFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-  };
-  type GistsListStarredResponseItemFiles = {
-    "hello_world.rb": GistsListStarredResponseItemFilesHelloWorldRb;
-  };
-  type GistsListStarredResponseItem = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsListStarredResponseItemFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsListStarredResponseItemOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type GistsListPublicForUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsListPublicForUserResponseItemFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-  };
-  type GistsListPublicForUserResponseItemFiles = {
-    "hello_world.rb": GistsListPublicForUserResponseItemFilesHelloWorldRb;
-  };
-  type GistsListPublicForUserResponseItem = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsListPublicForUserResponseItemFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsListPublicForUserResponseItemOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type GistsListPublicResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsListPublicResponseItemFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-  };
-  type GistsListPublicResponseItemFiles = {
-    "hello_world.rb": GistsListPublicResponseItemFilesHelloWorldRb;
-  };
-  type GistsListPublicResponseItem = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsListPublicResponseItemFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsListPublicResponseItemOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type GistsListForksResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsListForksResponseItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsListForksResponseItemUser;
-  };
-  type GistsListCommitsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsListCommitsResponseItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-  };
-  type GistsListCommitsResponseItem = {
-    change_status: GistsListCommitsResponseItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsListCommitsResponseItemUser;
-    version: string;
-  };
-  type GistsListCommentsResponseItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsListCommentsResponseItem = {
-    body: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: GistsListCommentsResponseItemUser;
-  };
-  type GistsListResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsListResponseItemFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-  };
-  type GistsListResponseItemFiles = {
-    "hello_world.rb": GistsListResponseItemFilesHelloWorldRb;
-  };
-  type GistsListResponseItem = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsListResponseItemFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsListResponseItemOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type GistsGetRevisionResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsGetRevisionResponseHistoryItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsGetRevisionResponseHistoryItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-  };
-  type GistsGetRevisionResponseHistoryItem = {
-    change_status: GistsGetRevisionResponseHistoryItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsGetRevisionResponseHistoryItemUser;
-    version: string;
-  };
-  type GistsGetRevisionResponseForksItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsGetRevisionResponseForksItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsGetRevisionResponseForksItemUser;
-  };
-  type GistsGetRevisionResponseFilesHelloWorldRubyTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsGetRevisionResponseFilesHelloWorldPythonTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsGetRevisionResponseFilesHelloWorldRb = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsGetRevisionResponseFilesHelloWorldPy = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsGetRevisionResponseFiles = {
-    "hello_world.py": GistsGetRevisionResponseFilesHelloWorldPy;
-    "hello_world.rb": GistsGetRevisionResponseFilesHelloWorldRb;
-    "hello_world_python.txt": GistsGetRevisionResponseFilesHelloWorldPythonTxt;
-    "hello_world_ruby.txt": GistsGetRevisionResponseFilesHelloWorldRubyTxt;
-  };
-  type GistsGetRevisionResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsGetRevisionResponseFiles;
-    forks: Array<GistsGetRevisionResponseForksItem>;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    history: Array<GistsGetRevisionResponseHistoryItem>;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsGetRevisionResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type GistsGetCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsGetCommentResponse = {
-    body: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: GistsGetCommentResponseUser;
-  };
-  type GistsGetResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsGetResponseHistoryItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsGetResponseHistoryItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-  };
-  type GistsGetResponseHistoryItem = {
-    change_status: GistsGetResponseHistoryItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsGetResponseHistoryItemUser;
-    version: string;
-  };
-  type GistsGetResponseForksItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsGetResponseForksItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsGetResponseForksItemUser;
-  };
-  type GistsGetResponseFilesHelloWorldRubyTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsGetResponseFilesHelloWorldPythonTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsGetResponseFilesHelloWorldRb = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsGetResponseFilesHelloWorldPy = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsGetResponseFiles = {
-    "hello_world.py": GistsGetResponseFilesHelloWorldPy;
-    "hello_world.rb": GistsGetResponseFilesHelloWorldRb;
-    "hello_world_python.txt": GistsGetResponseFilesHelloWorldPythonTxt;
-    "hello_world_ruby.txt": GistsGetResponseFilesHelloWorldRubyTxt;
-  };
-  type GistsGetResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsGetResponseFiles;
-    forks: Array<GistsGetResponseForksItem>;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    history: Array<GistsGetResponseHistoryItem>;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsGetResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type GistsForkResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsForkResponseFilesHelloWorldRb = {
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    type: string;
-  };
-  type GistsForkResponseFiles = {
-    "hello_world.rb": GistsForkResponseFilesHelloWorldRb;
-  };
-  type GistsForkResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsForkResponseFiles;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsForkResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type GistsCreateCommentResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsCreateCommentResponse = {
-    body: string;
-    created_at: string;
-    id: number;
-    node_id: string;
-    updated_at: string;
-    url: string;
-    user: GistsCreateCommentResponseUser;
-  };
-  type GistsCreateResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsCreateResponseHistoryItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsCreateResponseHistoryItemChangeStatus = {
-    additions: number;
-    deletions: number;
-    total: number;
-  };
-  type GistsCreateResponseHistoryItem = {
-    change_status: GistsCreateResponseHistoryItemChangeStatus;
-    committed_at: string;
-    url: string;
-    user: GistsCreateResponseHistoryItemUser;
-    version: string;
-  };
-  type GistsCreateResponseForksItemUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type GistsCreateResponseForksItem = {
-    created_at: string;
-    id: string;
-    updated_at: string;
-    url: string;
-    user: GistsCreateResponseForksItemUser;
-  };
-  type GistsCreateResponseFilesHelloWorldRubyTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsCreateResponseFilesHelloWorldPythonTxt = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsCreateResponseFilesHelloWorldRb = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsCreateResponseFilesHelloWorldPy = {
-    content: string;
-    filename: string;
-    language: string;
-    raw_url: string;
-    size: number;
-    truncated: boolean;
-    type: string;
-  };
-  type GistsCreateResponseFiles = {
-    "hello_world.py": GistsCreateResponseFilesHelloWorldPy;
-    "hello_world.rb": GistsCreateResponseFilesHelloWorldRb;
-    "hello_world_python.txt": GistsCreateResponseFilesHelloWorldPythonTxt;
-    "hello_world_ruby.txt": GistsCreateResponseFilesHelloWorldRubyTxt;
-  };
-  type GistsCreateResponse = {
-    comments: number;
-    comments_url: string;
-    commits_url: string;
-    created_at: string;
-    description: string;
-    files: GistsCreateResponseFiles;
-    forks: Array<GistsCreateResponseForksItem>;
-    forks_url: string;
-    git_pull_url: string;
-    git_push_url: string;
-    history: Array<GistsCreateResponseHistoryItem>;
-    html_url: string;
-    id: string;
-    node_id: string;
-    owner: GistsCreateResponseOwner;
-    public: boolean;
-    truncated: boolean;
-    updated_at: string;
-    url: string;
-    user: null;
-  };
-  type CodesOfConductListConductCodesResponseItem = {
-    key: string;
-    name: string;
-    url: string;
-  };
-  type CodesOfConductGetForRepoResponse = {
-    body: string;
-    key: string;
-    name: string;
-    url: string;
-  };
-  type CodesOfConductGetConductCodeResponse = {
-    body: string;
-    key: string;
-    name: string;
-    url: string;
-  };
-  type ChecksUpdateResponsePullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksUpdateResponsePullRequestsItemHead = {
-    ref: string;
-    repo: ChecksUpdateResponsePullRequestsItemHeadRepo;
-    sha: string;
-  };
-  type ChecksUpdateResponsePullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksUpdateResponsePullRequestsItemBase = {
-    ref: string;
-    repo: ChecksUpdateResponsePullRequestsItemBaseRepo;
-    sha: string;
-  };
-  type ChecksUpdateResponsePullRequestsItem = {
-    base: ChecksUpdateResponsePullRequestsItemBase;
-    head: ChecksUpdateResponsePullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-  };
-  type ChecksUpdateResponseOutput = {
-    annotations_count: number;
-    annotations_url: string;
-    summary: string;
-    text: string;
-    title: string;
-  };
-  type ChecksUpdateResponseCheckSuite = { id: number };
-  type ChecksUpdateResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ChecksUpdateResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ChecksUpdateResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksUpdateResponseAppOwner;
-    permissions: ChecksUpdateResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ChecksUpdateResponse = {
-    app: ChecksUpdateResponseApp;
-    check_suite: ChecksUpdateResponseCheckSuite;
-    completed_at: string;
-    conclusion: string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksUpdateResponseOutput;
-    pull_requests: Array<ChecksUpdateResponsePullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-  };
-  type ChecksSetSuitesPreferencesResponseRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ChecksSetSuitesPreferencesResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ChecksSetSuitesPreferencesResponseRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ChecksSetSuitesPreferencesResponseRepositoryOwner;
-    permissions: ChecksSetSuitesPreferencesResponseRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ChecksSetSuitesPreferencesResponsePreferencesAutoTriggerChecksItem = {
-    app_id: number;
-    setting: boolean;
-  };
-  type ChecksSetSuitesPreferencesResponsePreferences = {
-    auto_trigger_checks: Array<
-      ChecksSetSuitesPreferencesResponsePreferencesAutoTriggerChecksItem
-    >;
-  };
-  type ChecksSetSuitesPreferencesResponse = {
-    preferences: ChecksSetSuitesPreferencesResponsePreferences;
-    repository: ChecksSetSuitesPreferencesResponseRepository;
-  };
-  type ChecksListSuitesForRefResponseCheckSuitesItemRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ChecksListSuitesForRefResponseCheckSuitesItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ChecksListSuitesForRefResponseCheckSuitesItemRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ChecksListSuitesForRefResponseCheckSuitesItemRepositoryOwner;
-    permissions: ChecksListSuitesForRefResponseCheckSuitesItemRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ChecksListSuitesForRefResponseCheckSuitesItemAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ChecksListSuitesForRefResponseCheckSuitesItemAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ChecksListSuitesForRefResponseCheckSuitesItemApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksListSuitesForRefResponseCheckSuitesItemAppOwner;
-    permissions: ChecksListSuitesForRefResponseCheckSuitesItemAppPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ChecksListSuitesForRefResponseCheckSuitesItem = {
-    after: string;
-    app: ChecksListSuitesForRefResponseCheckSuitesItemApp;
-    before: string;
-    conclusion: string;
-    head_branch: string;
-    head_sha: string;
-    id: number;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ChecksListSuitesForRefResponseCheckSuitesItemRepository;
-    status: string;
-    url: string;
-  };
-  type ChecksListSuitesForRefResponse = {
-    check_suites: Array<ChecksListSuitesForRefResponseCheckSuitesItem>;
-    total_count: number;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemPullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemPullRequestsItemHead = {
-    ref: string;
-    repo: ChecksListForSuiteResponseCheckRunsItemPullRequestsItemHeadRepo;
-    sha: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemPullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemPullRequestsItemBase = {
-    ref: string;
-    repo: ChecksListForSuiteResponseCheckRunsItemPullRequestsItemBaseRepo;
-    sha: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemPullRequestsItem = {
-    base: ChecksListForSuiteResponseCheckRunsItemPullRequestsItemBase;
-    head: ChecksListForSuiteResponseCheckRunsItemPullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemOutput = {
-    annotations_count: number;
-    annotations_url: string;
-    summary: string;
-    text: string;
-    title: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemCheckSuite = { id: number };
-  type ChecksListForSuiteResponseCheckRunsItemAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItemApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksListForSuiteResponseCheckRunsItemAppOwner;
-    permissions: ChecksListForSuiteResponseCheckRunsItemAppPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ChecksListForSuiteResponseCheckRunsItem = {
-    app: ChecksListForSuiteResponseCheckRunsItemApp;
-    check_suite: ChecksListForSuiteResponseCheckRunsItemCheckSuite;
-    completed_at: string;
-    conclusion: string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksListForSuiteResponseCheckRunsItemOutput;
-    pull_requests: Array<
-      ChecksListForSuiteResponseCheckRunsItemPullRequestsItem
-    >;
-    started_at: string;
-    status: string;
-    url: string;
-  };
-  type ChecksListForSuiteResponse = {
-    check_runs: Array<ChecksListForSuiteResponseCheckRunsItem>;
-    total_count: number;
-  };
-  type ChecksListForRefResponseCheckRunsItemPullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksListForRefResponseCheckRunsItemPullRequestsItemHead = {
-    ref: string;
-    repo: ChecksListForRefResponseCheckRunsItemPullRequestsItemHeadRepo;
-    sha: string;
-  };
-  type ChecksListForRefResponseCheckRunsItemPullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksListForRefResponseCheckRunsItemPullRequestsItemBase = {
-    ref: string;
-    repo: ChecksListForRefResponseCheckRunsItemPullRequestsItemBaseRepo;
-    sha: string;
-  };
-  type ChecksListForRefResponseCheckRunsItemPullRequestsItem = {
-    base: ChecksListForRefResponseCheckRunsItemPullRequestsItemBase;
-    head: ChecksListForRefResponseCheckRunsItemPullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-  };
-  type ChecksListForRefResponseCheckRunsItemOutput = {
-    annotations_count: number;
-    annotations_url: string;
-    summary: string;
-    text: string;
-    title: string;
-  };
-  type ChecksListForRefResponseCheckRunsItemCheckSuite = { id: number };
-  type ChecksListForRefResponseCheckRunsItemAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ChecksListForRefResponseCheckRunsItemAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ChecksListForRefResponseCheckRunsItemApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksListForRefResponseCheckRunsItemAppOwner;
-    permissions: ChecksListForRefResponseCheckRunsItemAppPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ChecksListForRefResponseCheckRunsItem = {
-    app: ChecksListForRefResponseCheckRunsItemApp;
-    check_suite: ChecksListForRefResponseCheckRunsItemCheckSuite;
-    completed_at: string;
-    conclusion: string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksListForRefResponseCheckRunsItemOutput;
-    pull_requests: Array<ChecksListForRefResponseCheckRunsItemPullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-  };
-  type ChecksListForRefResponse = {
-    check_runs: Array<ChecksListForRefResponseCheckRunsItem>;
-    total_count: number;
-  };
-  type ChecksListAnnotationsResponseItem = {
-    annotation_level: string;
-    end_column: number;
-    end_line: number;
-    message: string;
-    path: string;
-    raw_details: string;
-    start_column: number;
-    start_line: number;
-    title: string;
-  };
-  type ChecksGetSuiteResponseRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ChecksGetSuiteResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ChecksGetSuiteResponseRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ChecksGetSuiteResponseRepositoryOwner;
-    permissions: ChecksGetSuiteResponseRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ChecksGetSuiteResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ChecksGetSuiteResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ChecksGetSuiteResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksGetSuiteResponseAppOwner;
-    permissions: ChecksGetSuiteResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ChecksGetSuiteResponse = {
-    after: string;
-    app: ChecksGetSuiteResponseApp;
-    before: string;
-    conclusion: string;
-    head_branch: string;
-    head_sha: string;
-    id: number;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ChecksGetSuiteResponseRepository;
-    status: string;
-    url: string;
-  };
-  type ChecksGetResponsePullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksGetResponsePullRequestsItemHead = {
-    ref: string;
-    repo: ChecksGetResponsePullRequestsItemHeadRepo;
-    sha: string;
-  };
-  type ChecksGetResponsePullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksGetResponsePullRequestsItemBase = {
-    ref: string;
-    repo: ChecksGetResponsePullRequestsItemBaseRepo;
-    sha: string;
-  };
-  type ChecksGetResponsePullRequestsItem = {
-    base: ChecksGetResponsePullRequestsItemBase;
-    head: ChecksGetResponsePullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-  };
-  type ChecksGetResponseOutput = {
-    annotations_count: number;
-    annotations_url: string;
-    summary: string;
-    text: string;
-    title: string;
-  };
-  type ChecksGetResponseCheckSuite = { id: number };
-  type ChecksGetResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ChecksGetResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ChecksGetResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksGetResponseAppOwner;
-    permissions: ChecksGetResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ChecksGetResponse = {
-    app: ChecksGetResponseApp;
-    check_suite: ChecksGetResponseCheckSuite;
-    completed_at: string;
-    conclusion: string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksGetResponseOutput;
-    pull_requests: Array<ChecksGetResponsePullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-  };
-  type ChecksCreateSuiteResponseRepositoryPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ChecksCreateSuiteResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ChecksCreateSuiteResponseRepository = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ChecksCreateSuiteResponseRepositoryOwner;
-    permissions: ChecksCreateSuiteResponseRepositoryPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ChecksCreateSuiteResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ChecksCreateSuiteResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ChecksCreateSuiteResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksCreateSuiteResponseAppOwner;
-    permissions: ChecksCreateSuiteResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ChecksCreateSuiteResponse = {
-    after: string;
-    app: ChecksCreateSuiteResponseApp;
-    before: string;
-    conclusion: string;
-    head_branch: string;
-    head_sha: string;
-    id: number;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ChecksCreateSuiteResponseRepository;
-    status: string;
-    url: string;
-  };
-  type ChecksCreateResponsePullRequestsItemHeadRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksCreateResponsePullRequestsItemHead = {
-    ref: string;
-    repo: ChecksCreateResponsePullRequestsItemHeadRepo;
-    sha: string;
-  };
-  type ChecksCreateResponsePullRequestsItemBaseRepo = {
-    id: number;
-    name: string;
-    url: string;
-  };
-  type ChecksCreateResponsePullRequestsItemBase = {
-    ref: string;
-    repo: ChecksCreateResponsePullRequestsItemBaseRepo;
-    sha: string;
-  };
-  type ChecksCreateResponsePullRequestsItem = {
-    base: ChecksCreateResponsePullRequestsItemBase;
-    head: ChecksCreateResponsePullRequestsItemHead;
-    id: number;
-    number: number;
-    url: string;
-  };
-  type ChecksCreateResponseOutput = {
-    summary: string;
-    text: string;
-    title: string;
-    annotations_count?: number;
-    annotations_url?: string;
-  };
-  type ChecksCreateResponseCheckSuite = { id: number };
-  type ChecksCreateResponseAppPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type ChecksCreateResponseAppOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type ChecksCreateResponseApp = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: ChecksCreateResponseAppOwner;
-    permissions: ChecksCreateResponseAppPermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type ChecksCreateResponse = {
-    app: ChecksCreateResponseApp;
-    check_suite: ChecksCreateResponseCheckSuite;
-    completed_at: null | string;
-    conclusion: null | string;
-    details_url: string;
-    external_id: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    output: ChecksCreateResponseOutput;
-    pull_requests: Array<ChecksCreateResponsePullRequestsItem>;
-    started_at: string;
-    status: string;
-    url: string;
-  };
-  type AppsResetTokenResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsResetTokenResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type AppsResetTokenResponse = {
-    app: AppsResetTokenResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: AppsResetTokenResponseUser;
-  };
-  type AppsResetAuthorizationResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsResetAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type AppsResetAuthorizationResponse = {
-    app: AppsResetAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: AppsResetAuthorizationResponseUser;
-  };
-  type AppsListReposResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsListReposResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: AppsListReposResponseRepositoriesItemOwner;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type AppsListReposResponse = {
-    repositories: Array<AppsListReposResponseRepositoriesItem>;
-    total_count: number;
-  };
-  type AppsListPlansStubbedResponseItem = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsListPlansResponseItem = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItemPlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItemAccount = {
-    email: null;
-    id: number;
-    login: string;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-  };
-  type AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItem = {
-    account: AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItemAccount;
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItemPlan;
-    unit_count: null;
-    updated_at: string;
-  };
-  type AppsListMarketplacePurchasesForAuthenticatedUserResponseItemPlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsListMarketplacePurchasesForAuthenticatedUserResponseItemAccount = {
-    email: null;
-    id: number;
-    login: string;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-  };
-  type AppsListMarketplacePurchasesForAuthenticatedUserResponseItem = {
-    account: AppsListMarketplacePurchasesForAuthenticatedUserResponseItemAccount;
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsListMarketplacePurchasesForAuthenticatedUserResponseItemPlan;
-    unit_count: null;
-    updated_at: string;
-  };
-  type AppsListInstallationsForAuthenticatedUserResponseInstallationsItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type AppsListInstallationsForAuthenticatedUserResponseInstallationsItemAccount = {
-    avatar_url: string;
-    description?: string;
-    events_url: string;
-    hooks_url?: string;
-    id: number;
-    issues_url?: string;
-    login: string;
-    members_url?: string;
-    node_id: string;
-    public_members_url?: string;
-    repos_url: string;
-    url: string;
-    followers_url?: string;
-    following_url?: string;
-    gists_url?: string;
-    gravatar_id?: string;
-    html_url?: string;
-    organizations_url?: string;
-    received_events_url?: string;
-    site_admin?: boolean;
-    starred_url?: string;
-    subscriptions_url?: string;
-    type?: string;
-  };
-  type AppsListInstallationsForAuthenticatedUserResponseInstallationsItem = {
-    access_tokens_url: string;
-    account: AppsListInstallationsForAuthenticatedUserResponseInstallationsItemAccount;
-    app_id: number;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsListInstallationsForAuthenticatedUserResponseInstallationsItemPermissions;
-    repositories_url: string;
-    single_file_name: string;
-    target_id: number;
-    target_type: string;
-  };
-  type AppsListInstallationsForAuthenticatedUserResponse = {
-    installations: Array<
-      AppsListInstallationsForAuthenticatedUserResponseInstallationsItem
-    >;
-    total_count: number;
-  };
-  type AppsListInstallationsResponseItemPermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type AppsListInstallationsResponseItemAccount = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type AppsListInstallationsResponseItem = {
-    access_tokens_url: string;
-    account: AppsListInstallationsResponseItemAccount;
-    app_id: number;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsListInstallationsResponseItemPermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: string;
-    target_id: number;
-    target_type: string;
-  };
-  type AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItemOwner;
-    permissions: AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type AppsListInstallationReposForAuthenticatedUserResponse = {
-    repositories: Array<
-      AppsListInstallationReposForAuthenticatedUserResponseRepositoriesItem
-    >;
-    total_count: number;
-  };
-  type AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePurchasePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePurchase = {
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePurchasePlan;
-    unit_count: null;
-    updated_at: string;
-  };
-  type AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePendingChangePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePendingChange = {
-    effective_date: string;
-    id: number;
-    plan: AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePendingChangePlan;
-    unit_count: null;
-  };
-  type AppsListAccountsUserOrOrgOnPlanStubbedResponseItem = {
-    email: null;
-    id: number;
-    login: string;
-    marketplace_pending_change: AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePendingChange;
-    marketplace_purchase: AppsListAccountsUserOrOrgOnPlanStubbedResponseItemMarketplacePurchase;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-  };
-  type AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePurchasePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePurchase = {
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePurchasePlan;
-    unit_count: null;
-    updated_at: string;
-  };
-  type AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePendingChangePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePendingChange = {
-    effective_date: string;
-    id: number;
-    plan: AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePendingChangePlan;
-    unit_count: null;
-  };
-  type AppsListAccountsUserOrOrgOnPlanResponseItem = {
-    email: null;
-    id: number;
-    login: string;
-    marketplace_pending_change: AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePendingChange;
-    marketplace_purchase: AppsListAccountsUserOrOrgOnPlanResponseItemMarketplacePurchase;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-  };
-  type AppsGetUserInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-  };
-  type AppsGetUserInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsGetUserInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsGetUserInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsGetUserInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-  };
-  type AppsGetRepoInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-  };
-  type AppsGetRepoInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsGetRepoInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsGetRepoInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsGetRepoInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-  };
-  type AppsGetOrgInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-  };
-  type AppsGetOrgInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsGetOrgInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsGetOrgInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsGetOrgInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-  };
-  type AppsGetInstallationResponsePermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type AppsGetInstallationResponseAccount = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type AppsGetInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsGetInstallationResponseAccount;
-    app_id: number;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsGetInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: string;
-    target_id: number;
-    target_type: string;
-  };
-  type AppsGetBySlugResponsePermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type AppsGetBySlugResponseOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type AppsGetBySlugResponse = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: AppsGetBySlugResponseOwner;
-    permissions: AppsGetBySlugResponsePermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type AppsGetAuthenticatedResponsePermissions = {
-    contents: string;
-    issues: string;
-    metadata: string;
-    single_file: string;
-  };
-  type AppsGetAuthenticatedResponseOwner = {
-    avatar_url: string;
-    description: string;
-    events_url: string;
-    hooks_url: string;
-    id: number;
-    issues_url: string;
-    login: string;
-    members_url: string;
-    node_id: string;
-    public_members_url: string;
-    repos_url: string;
-    url: string;
-  };
-  type AppsGetAuthenticatedResponse = {
-    created_at: string;
-    description: string;
-    events: Array<string>;
-    external_url: string;
-    html_url: string;
-    id: number;
-    installations_count: number;
-    name: string;
-    node_id: string;
-    owner: AppsGetAuthenticatedResponseOwner;
-    permissions: AppsGetAuthenticatedResponsePermissions;
-    slug: string;
-    updated_at: string;
-  };
-  type AppsFindUserInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-  };
-  type AppsFindUserInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsFindUserInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsFindUserInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsFindUserInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-  };
-  type AppsFindRepoInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-  };
-  type AppsFindRepoInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsFindRepoInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsFindRepoInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsFindRepoInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-  };
-  type AppsFindOrgInstallationResponsePermissions = {
-    checks: string;
-    contents: string;
-    metadata: string;
-  };
-  type AppsFindOrgInstallationResponseAccount = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsFindOrgInstallationResponse = {
-    access_tokens_url: string;
-    account: AppsFindOrgInstallationResponseAccount;
-    app_id: number;
-    created_at: string;
-    events: Array<string>;
-    html_url: string;
-    id: number;
-    permissions: AppsFindOrgInstallationResponsePermissions;
-    repositories_url: string;
-    repository_selection: string;
-    single_file_name: null;
-    target_id: number;
-    target_type: string;
-    updated_at: string;
-  };
-  type AppsCreateInstallationTokenResponseRepositoriesItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type AppsCreateInstallationTokenResponseRepositoriesItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsCreateInstallationTokenResponseRepositoriesItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: AppsCreateInstallationTokenResponseRepositoriesItemOwner;
-    permissions: AppsCreateInstallationTokenResponseRepositoriesItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type AppsCreateInstallationTokenResponsePermissions = {
-    contents: string;
-    issues: string;
-  };
-  type AppsCreateInstallationTokenResponse = {
-    expires_at: string;
-    permissions: AppsCreateInstallationTokenResponsePermissions;
-    repositories: Array<AppsCreateInstallationTokenResponseRepositoriesItem>;
-    token: string;
-  };
-  type AppsCreateFromManifestResponseOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsCreateFromManifestResponse = {
-    client_id: string;
-    client_secret: string;
-    created_at: string;
-    description: null;
-    external_url: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    owner: AppsCreateFromManifestResponseOwner;
-    pem: string;
-    updated_at: string;
-    webhook_secret: string;
-  };
-  type AppsCreateContentAttachmentResponse = {
-    body: string;
-    id: number;
-    title: string;
-  };
-  type AppsCheckTokenResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsCheckTokenResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type AppsCheckTokenResponse = {
-    app: AppsCheckTokenResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: AppsCheckTokenResponseUser;
-  };
-  type AppsCheckAuthorizationResponseUser = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type AppsCheckAuthorizationResponseApp = {
-    client_id: string;
-    name: string;
-    url: string;
-  };
-  type AppsCheckAuthorizationResponse = {
-    app: AppsCheckAuthorizationResponseApp;
-    created_at: string;
-    fingerprint: string;
-    hashed_token: string;
-    id: number;
-    note: string;
-    note_url: string;
-    scopes: Array<string>;
-    token: string;
-    token_last_eight: string;
-    updated_at: string;
-    url: string;
-    user: AppsCheckAuthorizationResponseUser;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePurchasePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePurchase = {
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePurchasePlan;
-    unit_count: null;
-    updated_at: string;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePendingChangePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePendingChange = {
-    effective_date: string;
-    id: number;
-    plan: AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePendingChangePlan;
-    unit_count: null;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyStubbedResponse = {
-    email: null;
-    id: number;
-    login: string;
-    marketplace_pending_change: AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePendingChange;
-    marketplace_purchase: AppsCheckAccountIsAssociatedWithAnyStubbedResponseMarketplacePurchase;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePurchasePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePurchase = {
-    billing_cycle: string;
-    free_trial_ends_on: string;
-    next_billing_date: string;
-    on_free_trial: boolean;
-    plan: AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePurchasePlan;
-    unit_count: null;
-    updated_at: string;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePendingChangePlan = {
-    accounts_url: string;
-    bullets: Array<string>;
-    description: string;
-    has_free_trial: boolean;
-    id: number;
-    monthly_price_in_cents: number;
-    name: string;
-    number: number;
-    price_model: string;
-    state: string;
-    unit_name: null;
-    url: string;
-    yearly_price_in_cents: number;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePendingChange = {
-    effective_date: string;
-    id: number;
-    plan: AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePendingChangePlan;
-    unit_count: null;
-  };
-  type AppsCheckAccountIsAssociatedWithAnyResponse = {
-    email: null;
-    id: number;
-    login: string;
-    marketplace_pending_change: AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePendingChange;
-    marketplace_purchase: AppsCheckAccountIsAssociatedWithAnyResponseMarketplacePurchase;
-    organization_billing_email: string;
-    type: string;
-    url: string;
-  };
-  type ActivitySetThreadSubscriptionResponse = {
-    created_at: string;
-    ignored: boolean;
-    reason: null;
-    subscribed: boolean;
-    thread_url: string;
-    url: string;
-  };
-  type ActivitySetRepoSubscriptionResponse = {
-    created_at: string;
-    ignored: boolean;
-    reason: null;
-    repository_url: string;
-    subscribed: boolean;
-    url: string;
-  };
-  type ActivityListWatchersForRepoResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListWatchedReposForAuthenticatedUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ActivityListWatchedReposForAuthenticatedUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListWatchedReposForAuthenticatedUserResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type ActivityListWatchedReposForAuthenticatedUserResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ActivityListWatchedReposForAuthenticatedUserResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ActivityListWatchedReposForAuthenticatedUserResponseItemOwner;
-    permissions: ActivityListWatchedReposForAuthenticatedUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ActivityListStargazersForRepoResponseItem = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListReposWatchedByUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ActivityListReposWatchedByUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListReposWatchedByUserResponseItemLicense = {
-    key: string;
-    name: string;
-    node_id: string;
-    spdx_id: string;
-    url: string;
-  };
-  type ActivityListReposWatchedByUserResponseItem = {
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    license: ActivityListReposWatchedByUserResponseItemLicense;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ActivityListReposWatchedByUserResponseItemOwner;
-    permissions: ActivityListReposWatchedByUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ActivityListReposStarredByUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ActivityListReposStarredByUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListReposStarredByUserResponseItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ActivityListReposStarredByUserResponseItemOwner;
-    permissions: ActivityListReposStarredByUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ActivityListReposStarredByAuthenticatedUserResponseItemPermissions = {
-    admin: boolean;
-    pull: boolean;
-    push: boolean;
-  };
-  type ActivityListReposStarredByAuthenticatedUserResponseItemOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListReposStarredByAuthenticatedUserResponseItem = {
-    allow_merge_commit: boolean;
-    allow_rebase_merge: boolean;
-    allow_squash_merge: boolean;
-    archive_url: string;
-    archived: boolean;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    clone_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    created_at: string;
-    default_branch: string;
-    deployments_url: string;
-    description: string;
-    disabled: boolean;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_count: number;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    has_downloads: boolean;
-    has_issues: boolean;
-    has_pages: boolean;
-    has_projects: boolean;
-    has_wiki: boolean;
-    homepage: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    is_template: boolean;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    language: null;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    mirror_url: string;
-    name: string;
-    network_count: number;
-    node_id: string;
-    notifications_url: string;
-    open_issues_count: number;
-    owner: ActivityListReposStarredByAuthenticatedUserResponseItemOwner;
-    permissions: ActivityListReposStarredByAuthenticatedUserResponseItemPermissions;
-    private: boolean;
-    pulls_url: string;
-    pushed_at: string;
-    releases_url: string;
-    size: number;
-    ssh_url: string;
-    stargazers_count: number;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_count: number;
-    subscribers_url: string;
-    subscription_url: string;
-    svn_url: string;
-    tags_url: string;
-    teams_url: string;
-    temp_clone_token: string;
-    template_repository: null;
-    topics: Array<string>;
-    trees_url: string;
-    updated_at: string;
-    url: string;
-    visibility: string;
-    watchers_count: number;
-  };
-  type ActivityListNotificationsForRepoResponseItemSubject = {
-    latest_comment_url: string;
-    title: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListNotificationsForRepoResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListNotificationsForRepoResponseItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActivityListNotificationsForRepoResponseItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActivityListNotificationsForRepoResponseItem = {
-    id: string;
-    last_read_at: string;
-    reason: string;
-    repository: ActivityListNotificationsForRepoResponseItemRepository;
-    subject: ActivityListNotificationsForRepoResponseItemSubject;
-    unread: boolean;
-    updated_at: string;
-    url: string;
-  };
-  type ActivityListNotificationsResponseItemSubject = {
-    latest_comment_url: string;
-    title: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListNotificationsResponseItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityListNotificationsResponseItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActivityListNotificationsResponseItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActivityListNotificationsResponseItem = {
-    id: string;
-    last_read_at: string;
-    reason: string;
-    repository: ActivityListNotificationsResponseItemRepository;
-    subject: ActivityListNotificationsResponseItemSubject;
-    unread: boolean;
-    updated_at: string;
-    url: string;
-  };
-  type ActivityListFeedsResponseLinksUser = { href: string; type: string };
-  type ActivityListFeedsResponseLinksTimeline = { href: string; type: string };
-  type ActivityListFeedsResponseLinksSecurityAdvisories = {
-    href: string;
-    type: string;
-  };
-  type ActivityListFeedsResponseLinksCurrentUserPublic = {
-    href: string;
-    type: string;
-  };
-  type ActivityListFeedsResponseLinksCurrentUserOrganizationsItem = {
-    href: string;
-    type: string;
-  };
-  type ActivityListFeedsResponseLinksCurrentUserOrganization = {
-    href: string;
-    type: string;
-  };
-  type ActivityListFeedsResponseLinksCurrentUserActor = {
-    href: string;
-    type: string;
-  };
-  type ActivityListFeedsResponseLinksCurrentUser = {
-    href: string;
-    type: string;
-  };
-  type ActivityListFeedsResponseLinks = {
-    current_user: ActivityListFeedsResponseLinksCurrentUser;
-    current_user_actor: ActivityListFeedsResponseLinksCurrentUserActor;
-    current_user_organization: ActivityListFeedsResponseLinksCurrentUserOrganization;
-    current_user_organizations: Array<
-      ActivityListFeedsResponseLinksCurrentUserOrganizationsItem
-    >;
-    current_user_public: ActivityListFeedsResponseLinksCurrentUserPublic;
-    security_advisories: ActivityListFeedsResponseLinksSecurityAdvisories;
-    timeline: ActivityListFeedsResponseLinksTimeline;
-    user: ActivityListFeedsResponseLinksUser;
-  };
-  type ActivityListFeedsResponse = {
-    _links: ActivityListFeedsResponseLinks;
-    current_user_actor_url: string;
-    current_user_organization_url: string;
-    current_user_organization_urls: Array<string>;
-    current_user_public_url: string;
-    current_user_url: string;
-    security_advisories_url: string;
-    timeline_url: string;
-    user_url: string;
-  };
-  type ActivityGetThreadSubscriptionResponse = {
-    created_at: string;
-    ignored: boolean;
-    reason: null;
-    subscribed: boolean;
-    thread_url: string;
-    url: string;
-  };
-  type ActivityGetThreadResponseSubject = {
-    latest_comment_url: string;
-    title: string;
-    type: string;
-    url: string;
-  };
-  type ActivityGetThreadResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActivityGetThreadResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActivityGetThreadResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActivityGetThreadResponse = {
-    id: string;
-    last_read_at: string;
-    reason: string;
-    repository: ActivityGetThreadResponseRepository;
-    subject: ActivityGetThreadResponseSubject;
-    unread: boolean;
-    updated_at: string;
-    url: string;
-  };
-  type ActivityGetRepoSubscriptionResponse = {
-    created_at: string;
-    ignored: boolean;
-    reason: null;
-    repository_url: string;
-    subscribed: boolean;
-    url: string;
-  };
-  type ActionsListWorkflowRunsResponseWorkflowRunsItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActionsListWorkflowRunsResponseWorkflowRunsItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsListWorkflowRunsResponseWorkflowRunsItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: null;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommitCommitter = {
-    email: string;
-    name: string;
-  };
-  type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommitAuthor = {
-    email: string;
-    name: string;
-  };
-  type ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommit = {
-    author: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommitAuthor;
-    committer: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommitCommitter;
-    id: string;
-    message: string;
-    timestamp: string;
-    tree_id: string;
-  };
-  type ActionsListWorkflowRunsResponseWorkflowRunsItem = {
-    artifacts_url: string;
-    cancel_url: string;
-    check_suite_id: number;
-    conclusion: null;
-    created_at: string;
-    event: string;
-    head_branch: string;
-    head_commit: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadCommit;
-    head_repository: ActionsListWorkflowRunsResponseWorkflowRunsItemHeadRepository;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    jobs_url: string;
-    logs_url: string;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ActionsListWorkflowRunsResponseWorkflowRunsItemRepository;
-    rerun_url: string;
-    run_number: number;
-    status: string;
-    updated_at: string;
-    url: string;
-    workflow_url: string;
-  };
-  type ActionsListWorkflowRunsResponse = {
-    total_count: number;
-    workflow_runs: Array<ActionsListWorkflowRunsResponseWorkflowRunsItem>;
-  };
-  type ActionsListWorkflowRunArtifactsResponseArtifactsItem = {
-    archive_download_url: string;
-    created_at: string;
-    expired: string;
-    expires_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    size_in_bytes: number;
-  };
-  type ActionsListWorkflowRunArtifactsResponse = {
-    artifacts: Array<ActionsListWorkflowRunArtifactsResponseArtifactsItem>;
-    total_count: number;
-  };
-  type ActionsListSelfHostedRunnersForRepoResponseItemItem = {
-    id: number;
-    name: string;
-    os: string;
-    status: string;
-  };
-  type ActionsListSecretsForRepoResponseSecretsItem = {
-    created_at: string;
-    name: string;
-    updated_at: string;
-  };
-  type ActionsListSecretsForRepoResponse = {
-    secrets: Array<ActionsListSecretsForRepoResponseSecretsItem>;
-    total_count: number;
-  };
-  type ActionsListRepoWorkflowsResponseWorkflowsItem = {
-    badge_url: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    path: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ActionsListRepoWorkflowsResponse = {
-    total_count: number;
-    workflows: Array<ActionsListRepoWorkflowsResponseWorkflowsItem>;
-  };
-  type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: null;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommitCommitter = {
-    email: string;
-    name: string;
-  };
-  type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommitAuthor = {
-    email: string;
-    name: string;
-  };
-  type ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommit = {
-    author: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommitAuthor;
-    committer: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommitCommitter;
-    id: string;
-    message: string;
-    timestamp: string;
-    tree_id: string;
-  };
-  type ActionsListRepoWorkflowRunsResponseWorkflowRunsItem = {
-    artifacts_url: string;
-    cancel_url: string;
-    check_suite_id: number;
-    conclusion: null;
-    created_at: string;
-    event: string;
-    head_branch: string;
-    head_commit: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadCommit;
-    head_repository: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemHeadRepository;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    jobs_url: string;
-    logs_url: string;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ActionsListRepoWorkflowRunsResponseWorkflowRunsItemRepository;
-    rerun_url: string;
-    run_number: number;
-    status: string;
-    updated_at: string;
-    url: string;
-    workflow_url: string;
-  };
-  type ActionsListRepoWorkflowRunsResponse = {
-    total_count: number;
-    workflow_runs: Array<ActionsListRepoWorkflowRunsResponseWorkflowRunsItem>;
-  };
-  type ActionsListJobsForWorkflowRunResponseJobsItemStepsItem = {
-    completed_at: string;
-    conclusion: string;
-    name: string;
-    number: number;
-    started_at: string;
-    status: string;
-  };
-  type ActionsListJobsForWorkflowRunResponseJobsItem = {
-    check_run_url: string;
-    completed_at: string;
-    conclusion: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    run_id: number;
-    run_url: string;
-    started_at: string;
-    status: string;
-    steps: Array<ActionsListJobsForWorkflowRunResponseJobsItemStepsItem>;
-    url: string;
-  };
-  type ActionsListJobsForWorkflowRunResponse = {
-    jobs: Array<ActionsListJobsForWorkflowRunResponseJobsItem>;
-    total_count: number;
-  };
-  type ActionsListDownloadsForSelfHostedRunnerApplicationResponseItem = {
-    architecture: string;
-    download_url: string;
-    filename: string;
-    os: string;
-  };
-  type ActionsGetWorkflowRunResponseRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActionsGetWorkflowRunResponseRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: string;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    git_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsGetWorkflowRunResponseRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    ssh_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActionsGetWorkflowRunResponseHeadRepositoryOwner = {
-    avatar_url: string;
-    events_url: string;
-    followers_url: string;
-    following_url: string;
-    gists_url: string;
-    gravatar_id: string;
-    html_url: string;
-    id: number;
-    login: string;
-    node_id: string;
-    organizations_url: string;
-    received_events_url: string;
-    repos_url: string;
-    site_admin: boolean;
-    starred_url: string;
-    subscriptions_url: string;
-    type: string;
-    url: string;
-  };
-  type ActionsGetWorkflowRunResponseHeadRepository = {
-    archive_url: string;
-    assignees_url: string;
-    blobs_url: string;
-    branches_url: string;
-    collaborators_url: string;
-    comments_url: string;
-    commits_url: string;
-    compare_url: string;
-    contents_url: string;
-    contributors_url: string;
-    deployments_url: string;
-    description: null;
-    downloads_url: string;
-    events_url: string;
-    fork: boolean;
-    forks_url: string;
-    full_name: string;
-    git_commits_url: string;
-    git_refs_url: string;
-    git_tags_url: string;
-    hooks_url: string;
-    html_url: string;
-    id: number;
-    issue_comment_url: string;
-    issue_events_url: string;
-    issues_url: string;
-    keys_url: string;
-    labels_url: string;
-    languages_url: string;
-    merges_url: string;
-    milestones_url: string;
-    name: string;
-    node_id: string;
-    notifications_url: string;
-    owner: ActionsGetWorkflowRunResponseHeadRepositoryOwner;
-    private: boolean;
-    pulls_url: string;
-    releases_url: string;
-    stargazers_url: string;
-    statuses_url: string;
-    subscribers_url: string;
-    subscription_url: string;
-    tags_url: string;
-    teams_url: string;
-    trees_url: string;
-    url: string;
-  };
-  type ActionsGetWorkflowRunResponseHeadCommitCommitter = {
-    email: string;
-    name: string;
-  };
-  type ActionsGetWorkflowRunResponseHeadCommitAuthor = {
-    email: string;
-    name: string;
-  };
-  type ActionsGetWorkflowRunResponseHeadCommit = {
-    author: ActionsGetWorkflowRunResponseHeadCommitAuthor;
-    committer: ActionsGetWorkflowRunResponseHeadCommitCommitter;
-    id: string;
-    message: string;
-    timestamp: string;
-    tree_id: string;
-  };
-  type ActionsGetWorkflowRunResponse = {
-    artifacts_url: string;
-    cancel_url: string;
-    check_suite_id: number;
-    conclusion: null;
-    created_at: string;
-    event: string;
-    head_branch: string;
-    head_commit: ActionsGetWorkflowRunResponseHeadCommit;
-    head_repository: ActionsGetWorkflowRunResponseHeadRepository;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    jobs_url: string;
-    logs_url: string;
-    node_id: string;
-    pull_requests: Array<any>;
-    repository: ActionsGetWorkflowRunResponseRepository;
-    rerun_url: string;
-    run_number: number;
-    status: string;
-    updated_at: string;
-    url: string;
-    workflow_url: string;
-  };
-  type ActionsGetWorkflowJobResponseStepsItem = {
-    completed_at: string;
-    conclusion: string;
-    name: string;
-    number: number;
-    started_at: string;
-    status: string;
-  };
-  type ActionsGetWorkflowJobResponse = {
-    check_run_url: string;
-    completed_at: string;
-    conclusion: string;
-    head_sha: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    run_id: number;
-    run_url: string;
-    started_at: string;
-    status: string;
-    steps: Array<ActionsGetWorkflowJobResponseStepsItem>;
-    url: string;
-  };
-  type ActionsGetWorkflowResponse = {
-    badge_url: string;
-    created_at: string;
-    html_url: string;
-    id: number;
-    name: string;
-    node_id: string;
-    path: string;
-    state: string;
-    updated_at: string;
-    url: string;
-  };
-  type ActionsGetSelfHostedRunnerResponse = {
-    id: number;
-    name: string;
-    os: string;
-    status: string;
-  };
-  type ActionsGetSecretResponse = {
-    created_at: string;
-    name: string;
-    updated_at: string;
-  };
-  type ActionsGetPublicKeyResponse = { key: string; key_id: string };
-  type ActionsGetArtifactResponse = {
-    archive_download_url: string;
-    created_at: string;
-    expired: string;
-    expires_at: string;
-    id: number;
-    name: string;
-    node_id: string;
-    size_in_bytes: number;
-  };
-  type ActionsCreateRemoveTokenResponse = { expires_at: string; token: string };
-  type ActionsCreateRegistrationTokenResponse = {
-    expires_at: string;
-    token: string;
-  };
-  type ActionsListDownloadsForSelfHostedRunnerApplicationResponse = Array<
-    ActionsListDownloadsForSelfHostedRunnerApplicationResponseItem
-  >;
-  type ActionsListSelfHostedRunnersForRepoResponse = Array<
-    Array<ActionsListSelfHostedRunnersForRepoResponseItemItem>
-  >;
-  type ActivityListNotificationsResponse = Array<
-    ActivityListNotificationsResponseItem
-  >;
-  type ActivityListNotificationsForRepoResponse = Array<
-    ActivityListNotificationsForRepoResponseItem
-  >;
-  type ActivityListReposStarredByAuthenticatedUserResponse = Array<
-    ActivityListReposStarredByAuthenticatedUserResponseItem
-  >;
-  type ActivityListReposStarredByUserResponse = Array<
-    ActivityListReposStarredByUserResponseItem
-  >;
-  type ActivityListReposWatchedByUserResponse = Array<
-    ActivityListReposWatchedByUserResponseItem
-  >;
-  type ActivityListStargazersForRepoResponse = Array<
-    ActivityListStargazersForRepoResponseItem
-  >;
-  type ActivityListWatchedReposForAuthenticatedUserResponse = Array<
-    ActivityListWatchedReposForAuthenticatedUserResponseItem
-  >;
-  type ActivityListWatchersForRepoResponse = Array<
-    ActivityListWatchersForRepoResponseItem
-  >;
-  type AppsListAccountsUserOrOrgOnPlanResponse = Array<
-    AppsListAccountsUserOrOrgOnPlanResponseItem
-  >;
-  type AppsListAccountsUserOrOrgOnPlanStubbedResponse = Array<
-    AppsListAccountsUserOrOrgOnPlanStubbedResponseItem
-  >;
-  type AppsListInstallationsResponse = Array<AppsListInstallationsResponseItem>;
-  type AppsListMarketplacePurchasesForAuthenticatedUserResponse = Array<
-    AppsListMarketplacePurchasesForAuthenticatedUserResponseItem
-  >;
-  type AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponse = Array<
-    AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponseItem
-  >;
-  type AppsListPlansResponse = Array<AppsListPlansResponseItem>;
-  type AppsListPlansStubbedResponse = Array<AppsListPlansStubbedResponseItem>;
-  type ChecksListAnnotationsResponse = Array<ChecksListAnnotationsResponseItem>;
-  type CodesOfConductListConductCodesResponse = Array<
-    CodesOfConductListConductCodesResponseItem
-  >;
-  type GistsListResponse = Array<GistsListResponseItem>;
-  type GistsListCommentsResponse = Array<GistsListCommentsResponseItem>;
-  type GistsListCommitsResponse = Array<GistsListCommitsResponseItem>;
-  type GistsListForksResponse = Array<GistsListForksResponseItem>;
-  type GistsListPublicResponse = Array<GistsListPublicResponseItem>;
-  type GistsListPublicForUserResponse = Array<
-    GistsListPublicForUserResponseItem
-  >;
-  type GistsListStarredResponse = Array<GistsListStarredResponseItem>;
-  type GitListMatchingRefsResponse = Array<GitListMatchingRefsResponseItem>;
-  type GitignoreListTemplatesResponse = Array<string>;
-  type IssuesAddLabelsResponse = Array<IssuesAddLabelsResponseItem>;
-  type IssuesListResponse = Array<IssuesListResponseItem>;
-  type IssuesListAssigneesResponse = Array<IssuesListAssigneesResponseItem>;
-  type IssuesListCommentsResponse = Array<IssuesListCommentsResponseItem>;
-  type IssuesListCommentsForRepoResponse = Array<
-    IssuesListCommentsForRepoResponseItem
-  >;
-  type IssuesListEventsResponse = Array<IssuesListEventsResponseItem>;
-  type IssuesListEventsForRepoResponse = Array<
-    IssuesListEventsForRepoResponseItem
-  >;
-  type IssuesListEventsForTimelineResponse = Array<
-    IssuesListEventsForTimelineResponseItem
-  >;
-  type IssuesListForAuthenticatedUserResponse = Array<
-    IssuesListForAuthenticatedUserResponseItem
-  >;
-  type IssuesListForOrgResponse = Array<IssuesListForOrgResponseItem>;
-  type IssuesListForRepoResponse = Array<IssuesListForRepoResponseItem>;
-  type IssuesListLabelsForMilestoneResponse = Array<
-    IssuesListLabelsForMilestoneResponseItem
-  >;
-  type IssuesListLabelsForRepoResponse = Array<
-    IssuesListLabelsForRepoResponseItem
-  >;
-  type IssuesListLabelsOnIssueResponse = Array<
-    IssuesListLabelsOnIssueResponseItem
-  >;
-  type IssuesListMilestonesForRepoResponse = Array<
-    IssuesListMilestonesForRepoResponseItem
-  >;
-  type IssuesRemoveLabelResponse = Array<IssuesRemoveLabelResponseItem>;
-  type IssuesReplaceLabelsResponse = Array<IssuesReplaceLabelsResponseItem>;
-  type LicensesListResponse = Array<LicensesListResponseItem>;
-  type LicensesListCommonlyUsedResponse = Array<
-    LicensesListCommonlyUsedResponseItem
-  >;
-  type MigrationsGetCommitAuthorsResponse = Array<
-    MigrationsGetCommitAuthorsResponseItem
-  >;
-  type MigrationsGetLargeFilesResponse = Array<
-    MigrationsGetLargeFilesResponseItem
-  >;
-  type MigrationsListForAuthenticatedUserResponse = Array<
-    MigrationsListForAuthenticatedUserResponseItem
-  >;
-  type MigrationsListForOrgResponse = Array<MigrationsListForOrgResponseItem>;
-  type MigrationsListReposForOrgResponse = Array<
-    MigrationsListReposForOrgResponseItem
-  >;
-  type MigrationsListReposForUserResponse = Array<
-    MigrationsListReposForUserResponseItem
-  >;
-  type OauthAuthorizationsListAuthorizationsResponse = Array<
-    OauthAuthorizationsListAuthorizationsResponseItem
-  >;
-  type OauthAuthorizationsListGrantsResponse = Array<
-    OauthAuthorizationsListGrantsResponseItem
-  >;
-  type OrgsListResponse = Array<OrgsListResponseItem>;
-  type OrgsListBlockedUsersResponse = Array<OrgsListBlockedUsersResponseItem>;
-  type OrgsListForAuthenticatedUserResponse = Array<
-    OrgsListForAuthenticatedUserResponseItem
-  >;
-  type OrgsListForUserResponse = Array<OrgsListForUserResponseItem>;
-  type OrgsListHooksResponse = Array<OrgsListHooksResponseItem>;
-  type OrgsListInvitationTeamsResponse = Array<
-    OrgsListInvitationTeamsResponseItem
-  >;
-  type OrgsListMembersResponse = Array<OrgsListMembersResponseItem>;
-  type OrgsListMembershipsResponse = Array<OrgsListMembershipsResponseItem>;
-  type OrgsListOutsideCollaboratorsResponse = Array<
-    OrgsListOutsideCollaboratorsResponseItem
-  >;
-  type OrgsListPendingInvitationsResponse = Array<
-    OrgsListPendingInvitationsResponseItem
-  >;
-  type OrgsListPublicMembersResponse = Array<OrgsListPublicMembersResponseItem>;
-  type ProjectsListCardsResponse = Array<ProjectsListCardsResponseItem>;
-  type ProjectsListCollaboratorsResponse = Array<
-    ProjectsListCollaboratorsResponseItem
-  >;
-  type ProjectsListColumnsResponse = Array<ProjectsListColumnsResponseItem>;
-  type ProjectsListForOrgResponse = Array<ProjectsListForOrgResponseItem>;
-  type ProjectsListForRepoResponse = Array<ProjectsListForRepoResponseItem>;
-  type ProjectsListForUserResponse = Array<ProjectsListForUserResponseItem>;
-  type PullsGetCommentsForReviewResponse = Array<
-    PullsGetCommentsForReviewResponseItem
-  >;
-  type PullsListResponse = Array<PullsListResponseItem>;
-  type PullsListCommentsResponse = Array<PullsListCommentsResponseItem>;
-  type PullsListCommentsForRepoResponse = Array<
-    PullsListCommentsForRepoResponseItem
-  >;
-  type PullsListCommitsResponse = Array<PullsListCommitsResponseItem>;
-  type PullsListFilesResponse = Array<PullsListFilesResponseItem>;
-  type PullsListReviewsResponse = Array<PullsListReviewsResponseItem>;
-  type ReactionsListForCommitCommentResponse = Array<
-    ReactionsListForCommitCommentResponseItem
-  >;
-  type ReactionsListForIssueResponse = Array<ReactionsListForIssueResponseItem>;
-  type ReactionsListForIssueCommentResponse = Array<
-    ReactionsListForIssueCommentResponseItem
-  >;
-  type ReactionsListForPullRequestReviewCommentResponse = Array<
-    ReactionsListForPullRequestReviewCommentResponseItem
-  >;
-  type ReactionsListForTeamDiscussionResponse = Array<
-    ReactionsListForTeamDiscussionResponseItem
-  >;
-  type ReactionsListForTeamDiscussionCommentResponse = Array<
-    ReactionsListForTeamDiscussionCommentResponseItem
-  >;
-  type ReactionsListForTeamDiscussionCommentInOrgResponse = Array<
-    ReactionsListForTeamDiscussionCommentInOrgResponseItem
-  >;
-  type ReactionsListForTeamDiscussionCommentLegacyResponse = Array<
-    ReactionsListForTeamDiscussionCommentLegacyResponseItem
-  >;
-  type ReactionsListForTeamDiscussionInOrgResponse = Array<
-    ReactionsListForTeamDiscussionInOrgResponseItem
-  >;
-  type ReactionsListForTeamDiscussionLegacyResponse = Array<
-    ReactionsListForTeamDiscussionLegacyResponseItem
-  >;
-  type ReposAddProtectedBranchAppRestrictionsResponse = Array<
-    ReposAddProtectedBranchAppRestrictionsResponseItem
-  >;
-  type ReposAddProtectedBranchRequiredStatusChecksContextsResponse = Array<
-    string
-  >;
-  type ReposAddProtectedBranchTeamRestrictionsResponse = Array<
-    ReposAddProtectedBranchTeamRestrictionsResponseItem
-  >;
-  type ReposAddProtectedBranchUserRestrictionsResponse = Array<
-    ReposAddProtectedBranchUserRestrictionsResponseItem
-  >;
-  type ReposGetAppsWithAccessToProtectedBranchResponse = Array<
-    ReposGetAppsWithAccessToProtectedBranchResponseItem
-  >;
-  type ReposGetCodeFrequencyStatsResponse = Array<Array<number>>;
-  type ReposGetCommitActivityStatsResponse = Array<
-    ReposGetCommitActivityStatsResponseItem
-  >;
-  type ReposGetContributorsStatsResponse = Array<
-    ReposGetContributorsStatsResponseItem
-  >;
-  type ReposGetPunchCardStatsResponse = Array<Array<number>>;
-  type ReposGetTeamsWithAccessToProtectedBranchResponse = Array<
-    ReposGetTeamsWithAccessToProtectedBranchResponseItem
-  >;
-  type ReposGetTopPathsResponse = Array<ReposGetTopPathsResponseItem>;
-  type ReposGetTopReferrersResponse = Array<ReposGetTopReferrersResponseItem>;
-  type ReposGetUsersWithAccessToProtectedBranchResponse = Array<
-    ReposGetUsersWithAccessToProtectedBranchResponseItem
-  >;
-  type ReposListAppsWithAccessToProtectedBranchResponse = Array<
-    ReposListAppsWithAccessToProtectedBranchResponseItem
-  >;
-  type ReposListAssetsForReleaseResponse = Array<
-    ReposListAssetsForReleaseResponseItem
-  >;
-  type ReposListBranchesResponse = Array<ReposListBranchesResponseItem>;
-  type ReposListBranchesForHeadCommitResponse = Array<
-    ReposListBranchesForHeadCommitResponseItem
-  >;
-  type ReposListCollaboratorsResponse = Array<
-    ReposListCollaboratorsResponseItem
-  >;
-  type ReposListCommentsForCommitResponse = Array<
-    ReposListCommentsForCommitResponseItem
-  >;
-  type ReposListCommitCommentsResponse = Array<
-    ReposListCommitCommentsResponseItem
-  >;
-  type ReposListCommitsResponse = Array<ReposListCommitsResponseItem>;
-  type ReposListContributorsResponse = Array<ReposListContributorsResponseItem>;
-  type ReposListDeployKeysResponse = Array<ReposListDeployKeysResponseItem>;
-  type ReposListDeploymentStatusesResponse = Array<
-    ReposListDeploymentStatusesResponseItem
-  >;
-  type ReposListDeploymentsResponse = Array<ReposListDeploymentsResponseItem>;
-  type ReposListDownloadsResponse = Array<ReposListDownloadsResponseItem>;
-  type ReposListForOrgResponse = Array<ReposListForOrgResponseItem>;
-  type ReposListForksResponse = Array<ReposListForksResponseItem>;
-  type ReposListHooksResponse = Array<ReposListHooksResponseItem>;
-  type ReposListInvitationsResponse = Array<ReposListInvitationsResponseItem>;
-  type ReposListInvitationsForAuthenticatedUserResponse = Array<
-    ReposListInvitationsForAuthenticatedUserResponseItem
-  >;
-  type ReposListPagesBuildsResponse = Array<ReposListPagesBuildsResponseItem>;
-  type ReposListProtectedBranchRequiredStatusChecksContextsResponse = Array<
-    string
-  >;
-  type ReposListProtectedBranchTeamRestrictionsResponse = Array<
-    ReposListProtectedBranchTeamRestrictionsResponseItem
-  >;
-  type ReposListProtectedBranchUserRestrictionsResponse = Array<
-    ReposListProtectedBranchUserRestrictionsResponseItem
-  >;
-  type ReposListPublicResponse = Array<ReposListPublicResponseItem>;
-  type ReposListPullRequestsAssociatedWithCommitResponse = Array<
-    ReposListPullRequestsAssociatedWithCommitResponseItem
-  >;
-  type ReposListReleasesResponse = Array<ReposListReleasesResponseItem>;
-  type ReposListStatusesForRefResponse = Array<
-    ReposListStatusesForRefResponseItem
-  >;
-  type ReposListTagsResponse = Array<ReposListTagsResponseItem>;
-  type ReposListTeamsResponse = Array<ReposListTeamsResponseItem>;
-  type ReposListTeamsWithAccessToProtectedBranchResponse = Array<
-    ReposListTeamsWithAccessToProtectedBranchResponseItem
-  >;
-  type ReposListUsersWithAccessToProtectedBranchResponse = Array<
-    ReposListUsersWithAccessToProtectedBranchResponseItem
-  >;
-  type ReposRemoveProtectedBranchAppRestrictionsResponse = Array<
-    ReposRemoveProtectedBranchAppRestrictionsResponseItem
-  >;
-  type ReposRemoveProtectedBranchRequiredStatusChecksContextsResponse = Array<
-    string
-  >;
-  type ReposRemoveProtectedBranchTeamRestrictionsResponse = Array<
-    ReposRemoveProtectedBranchTeamRestrictionsResponseItem
-  >;
-  type ReposRemoveProtectedBranchUserRestrictionsResponse = Array<
-    ReposRemoveProtectedBranchUserRestrictionsResponseItem
-  >;
-  type ReposReplaceProtectedBranchAppRestrictionsResponse = Array<
-    ReposReplaceProtectedBranchAppRestrictionsResponseItem
-  >;
-  type ReposReplaceProtectedBranchRequiredStatusChecksContextsResponse = Array<
-    string
-  >;
-  type ReposReplaceProtectedBranchTeamRestrictionsResponse = Array<
-    ReposReplaceProtectedBranchTeamRestrictionsResponseItem
-  >;
-  type ReposReplaceProtectedBranchUserRestrictionsResponse = Array<
-    ReposReplaceProtectedBranchUserRestrictionsResponseItem
-  >;
-  type TeamsListResponse = Array<TeamsListResponseItem>;
-  type TeamsListChildResponse = Array<TeamsListChildResponseItem>;
-  type TeamsListChildInOrgResponse = Array<TeamsListChildInOrgResponseItem>;
-  type TeamsListChildLegacyResponse = Array<TeamsListChildLegacyResponseItem>;
-  type TeamsListDiscussionCommentsResponse = Array<
-    TeamsListDiscussionCommentsResponseItem
-  >;
-  type TeamsListDiscussionCommentsInOrgResponse = Array<
-    TeamsListDiscussionCommentsInOrgResponseItem
-  >;
-  type TeamsListDiscussionCommentsLegacyResponse = Array<
-    TeamsListDiscussionCommentsLegacyResponseItem
-  >;
-  type TeamsListDiscussionsResponse = Array<TeamsListDiscussionsResponseItem>;
-  type TeamsListDiscussionsInOrgResponse = Array<
-    TeamsListDiscussionsInOrgResponseItem
-  >;
-  type TeamsListDiscussionsLegacyResponse = Array<
-    TeamsListDiscussionsLegacyResponseItem
-  >;
-  type TeamsListForAuthenticatedUserResponse = Array<
-    TeamsListForAuthenticatedUserResponseItem
-  >;
-  type TeamsListMembersResponse = Array<TeamsListMembersResponseItem>;
-  type TeamsListMembersInOrgResponse = Array<TeamsListMembersInOrgResponseItem>;
-  type TeamsListMembersLegacyResponse = Array<
-    TeamsListMembersLegacyResponseItem
-  >;
-  type TeamsListPendingInvitationsResponse = Array<
-    TeamsListPendingInvitationsResponseItem
-  >;
-  type TeamsListPendingInvitationsInOrgResponse = Array<
-    TeamsListPendingInvitationsInOrgResponseItem
-  >;
-  type TeamsListPendingInvitationsLegacyResponse = Array<
-    TeamsListPendingInvitationsLegacyResponseItem
-  >;
-  type TeamsListProjectsResponse = Array<TeamsListProjectsResponseItem>;
-  type TeamsListProjectsInOrgResponse = Array<
-    TeamsListProjectsInOrgResponseItem
-  >;
-  type TeamsListProjectsLegacyResponse = Array<
-    TeamsListProjectsLegacyResponseItem
-  >;
-  type TeamsListReposResponse = Array<TeamsListReposResponseItem>;
-  type TeamsListReposInOrgResponse = Array<TeamsListReposInOrgResponseItem>;
-  type TeamsListReposLegacyResponse = Array<TeamsListReposLegacyResponseItem>;
-  type UsersAddEmailsResponse = Array<UsersAddEmailsResponseItem>;
-  type UsersListResponse = Array<UsersListResponseItem>;
-  type UsersListBlockedResponse = Array<UsersListBlockedResponseItem>;
-  type UsersListEmailsResponse = Array<UsersListEmailsResponseItem>;
-  type UsersListFollowersForAuthenticatedUserResponse = Array<
-    UsersListFollowersForAuthenticatedUserResponseItem
-  >;
-  type UsersListFollowersForUserResponse = Array<
-    UsersListFollowersForUserResponseItem
-  >;
-  type UsersListFollowingForAuthenticatedUserResponse = Array<
-    UsersListFollowingForAuthenticatedUserResponseItem
-  >;
-  type UsersListFollowingForUserResponse = Array<
-    UsersListFollowingForUserResponseItem
-  >;
-  type UsersListGpgKeysResponse = Array<UsersListGpgKeysResponseItem>;
-  type UsersListGpgKeysForUserResponse = Array<
-    UsersListGpgKeysForUserResponseItem
-  >;
-  type UsersListPublicEmailsResponse = Array<UsersListPublicEmailsResponseItem>;
-  type UsersListPublicKeysResponse = Array<UsersListPublicKeysResponseItem>;
-  type UsersListPublicKeysForUserResponse = Array<
-    UsersListPublicKeysForUserResponseItem
-  >;
-  type UsersTogglePrimaryEmailVisibilityResponse = Array<
-    UsersTogglePrimaryEmailVisibilityResponseItem
-  >;
-
-  // param types
-  export type ActionsCancelWorkflowRunParams = {
-    owner: string;
-
-    repo: string;
-
-    run_id: number;
-  };
-  export type ActionsCreateOrUpdateSecretForRepoParams = {
-    /**
-     * Value for your secret, encrypted with [LibSodium](https://libsodium.gitbook.io/doc/bindings_for_other_languages) using the public key retrieved from the [Get your public key](https://developer.github.com/v3/actions/secrets/#get-your-public-key) endpoint.
-     */
-    encrypted_value?: string;
-    /**
-     * ID of the key you used to encrypt the secret.
-     */
-    key_id?: string;
-
-    name: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsCreateRegistrationTokenParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsCreateRemoveTokenParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsDeleteArtifactParams = {
-    artifact_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsDeleteSecretFromRepoParams = {
-    name: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsDownloadArtifactParams = {
-    archive_format: string;
-
-    artifact_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsGetArtifactParams = {
-    artifact_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsGetPublicKeyParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsGetSecretParams = {
-    name: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActionsGetSelfHostedRunnerParams = {
-    owner: string;
-
-    repo: string;
-
-    runner_id: number;
-  };
-  export type ActionsGetWorkflowParams = {
-    owner: string;
-
-    repo: string;
-
-    workflow_id: number;
-  };
-  export type ActionsGetWorkflowJobParams = {
-    job_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsGetWorkflowRunParams = {
-    owner: string;
-
-    repo: string;
-
-    run_id: number;
-  };
-  export type ActionsListDownloadsForSelfHostedRunnerApplicationParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActionsListJobsForWorkflowRunParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-
-    run_id: number;
-  };
-  export type ActionsListRepoWorkflowRunsParams = {
-    /**
-     * Returns someone's workflow runs. Use the login for the user who created the `push` associated with the check suite or workflow run.
-     */
-    actor?: string;
-    /**
-     * Returns workflow runs associated with a branch. Use the name of the branch of the `push`.
-     */
-    branch?: string;
-    /**
-     * Returns workflow run triggered by the event you specify. For example, `push`, `pull_request` or `issue`. For more information, see "[Events that trigger workflows](https://help.github.com/en/actions/automating-your-workflow-with-github-actions/events-that-trigger-workflows)" in the GitHub Help documentation.
-     */
-    event?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * Returns workflow runs associated with the check run `status` or `conclusion` you specify. For example, a conclusion can be `success` or a status can be `completed`. For more information, see the `status` and `conclusion` options available in "[Create a check run](https://developer.github.com/v3/checks/runs/#create-a-check-run)."
-     */
-    status?: "completed" | "status" | "conclusion";
-  };
-  export type ActionsListRepoWorkflowsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActionsListSecretsForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActionsListSelfHostedRunnersForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActionsListWorkflowJobLogsParams = {
-    job_id: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActionsListWorkflowRunArtifactsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-
-    run_id: number;
-  };
-  export type ActionsListWorkflowRunLogsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-
-    run_id: number;
-  };
-  export type ActionsListWorkflowRunsParams = {
-    /**
-     * Returns someone's workflow runs. Use the login for the user who created the `push` associated with the check suite or workflow run.
-     */
-    actor?: string;
-    /**
-     * Returns workflow runs associated with a branch. Use the name of the branch of the `push`.
-     */
-    branch?: string;
-    /**
-     * Returns workflow run triggered by the event you specify. For example, `push`, `pull_request` or `issue`. For more information, see "[Events that trigger workflows](https://help.github.com/en/actions/automating-your-workflow-with-github-actions/events-that-trigger-workflows)" in the GitHub Help documentation.
-     */
-    event?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * Returns workflow runs associated with the check run `status` or `conclusion` you specify. For example, a conclusion can be `success` or a status can be `completed`. For more information, see the `status` and `conclusion` options available in "[Create a check run](https://developer.github.com/v3/checks/runs/#create-a-check-run)."
-     */
-    status?: "completed" | "status" | "conclusion";
-
-    workflow_id: number;
-  };
-  export type ActionsReRunWorkflowParams = {
-    owner: string;
-
-    repo: string;
-
-    run_id: number;
-  };
-  export type ActionsRemoveSelfHostedRunnerParams = {
-    owner: string;
-
-    repo: string;
-
-    runner_id: number;
-  };
-  export type ActivityCheckStarringRepoParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActivityCheckWatchingRepoLegacyParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActivityDeleteRepoSubscriptionParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActivityDeleteThreadSubscriptionParams = {
-    thread_id: number;
-  };
-  export type ActivityGetRepoSubscriptionParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActivityGetThreadParams = {
-    thread_id: number;
-  };
-  export type ActivityGetThreadSubscriptionParams = {
-    thread_id: number;
-  };
-  export type ActivityListEventsForOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type ActivityListEventsForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type ActivityListNotificationsParams = {
-    /**
-     * If `true`, show notifications marked as read.
-     */
-    all?: boolean;
-    /**
-     * Only show notifications updated before the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    before?: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * If `true`, only shows notifications in which the user is directly participating or mentioned.
-     */
-    participating?: boolean;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Only show notifications updated after the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-  };
-  export type ActivityListNotificationsForRepoParams = {
-    /**
-     * If `true`, show notifications marked as read.
-     */
-    all?: boolean;
-    /**
-     * Only show notifications updated before the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    before?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * If `true`, only shows notifications in which the user is directly participating or mentioned.
-     */
-    participating?: boolean;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * Only show notifications updated after the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-  };
-  export type ActivityListPublicEventsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type ActivityListPublicEventsForOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type ActivityListPublicEventsForRepoNetworkParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActivityListPublicEventsForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type ActivityListReceivedEventsForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type ActivityListReceivedPublicEventsForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type ActivityListRepoEventsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActivityListReposStarredByAuthenticatedUserParams = {
-    /**
-     * One of `asc` (ascending) or `desc` (descending).
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * One of `created` (when the repository was starred) or `updated` (when it was last pushed to).
-     */
-    sort?: "created" | "updated";
-  };
-  export type ActivityListReposStarredByUserParams = {
-    /**
-     * One of `asc` (ascending) or `desc` (descending).
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * One of `created` (when the repository was starred) or `updated` (when it was last pushed to).
-     */
-    sort?: "created" | "updated";
-
-    username: string;
-  };
-  export type ActivityListReposWatchedByUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type ActivityListStargazersForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActivityListWatchedReposForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type ActivityListWatchersForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ActivityMarkAsReadParams = {
-    /**
-     * Describes the last point that notifications were checked. Anything updated since this time will not be updated. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Default: The current timestamp.
-     */
-    last_read_at?: string;
-  };
-  export type ActivityMarkNotificationsAsReadForRepoParams = {
-    /**
-     * Describes the last point that notifications were checked. Anything updated since this time will not be updated. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Default: The current timestamp.
-     */
-    last_read_at?: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ActivityMarkThreadAsReadParams = {
-    thread_id: number;
-  };
-  export type ActivitySetRepoSubscriptionParams = {
-    /**
-     * Determines if all notifications should be blocked from this repository.
-     */
-    ignored?: boolean;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * Determines if notifications should be received from this repository.
-     */
-    subscribed?: boolean;
-  };
-  export type ActivitySetThreadSubscriptionParams = {
-    /**
-     * Unsubscribes and subscribes you to a conversation. Set `ignored` to `true` to block all notifications from this thread.
-     */
-    ignored?: boolean;
-
-    thread_id: number;
-  };
-  export type ActivityStarRepoParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActivityStopWatchingRepoLegacyParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActivityUnstarRepoParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ActivityWatchRepoLegacyParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type AppsAddRepoToInstallationParams = {
-    installation_id: number;
-
-    repository_id: number;
-  };
-  export type AppsCheckAccountIsAssociatedWithAnyParams = {
-    account_id: number;
-  };
-  export type AppsCheckAccountIsAssociatedWithAnyStubbedParams = {
-    account_id: number;
-  };
-  export type AppsCheckAuthorizationParams = {
-    access_token: string;
-
-    client_id: string;
-  };
-  export type AppsCheckTokenParams = {
-    /**
-     * The OAuth access token used to authenticate to the GitHub API.
-     */
-    access_token?: string;
-
-    client_id: string;
-  };
-  export type AppsCreateContentAttachmentParams = {
-    /**
-     * The body text of the content attachment displayed in the body or comment of an issue or pull request. This parameter supports markdown.
-     */
-    body: string;
-
-    content_reference_id: number;
-    /**
-     * The title of the content attachment displayed in the body or comment of an issue or pull request.
-     */
-    title: string;
-  };
-  export type AppsCreateFromManifestParams = {
-    code: string;
-  };
-  export type AppsCreateInstallationTokenParams = {
-    installation_id: number;
-    /**
-     * The permissions granted to the access token. The permissions object includes the permission names and their access type. For a complete list of permissions and allowable values, see "[GitHub App permissions](https://developer.github.com/apps/building-github-apps/creating-github-apps-using-url-parameters/#github-app-permissions)."
-     */
-    permissions?: AppsCreateInstallationTokenParamsPermissions;
-    /**
-     * The `id`s of the repositories that the installation token can access. Providing repository `id`s restricts the access of an installation token to specific repositories. You can use the "[List repositories](https://developer.github.com/v3/apps/installations/#list-repositories)" endpoint to get the `id` of all repositories that an installation can access. For example, you can select specific repositories when creating an installation token to restrict the number of repositories that can be cloned using the token.
-     */
-    repository_ids?: number[];
-  };
-  export type AppsDeleteAuthorizationParams = {
-    /**
-     * The OAuth access token used to authenticate to the GitHub API.
-     */
-    access_token?: string;
-
-    client_id: string;
-  };
-  export type AppsDeleteInstallationParams = {
-    installation_id: number;
-  };
-  export type AppsDeleteTokenParams = {
-    /**
-     * The OAuth access token used to authenticate to the GitHub API.
-     */
-    access_token?: string;
-
-    client_id: string;
-  };
-  export type AppsFindOrgInstallationParams = {
-    org: string;
-  };
-  export type AppsFindRepoInstallationParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type AppsFindUserInstallationParams = {
-    username: string;
-  };
-  export type AppsGetBySlugParams = {
-    app_slug: string;
-  };
-  export type AppsGetInstallationParams = {
-    installation_id: number;
-  };
-  export type AppsGetOrgInstallationParams = {
-    org: string;
-  };
-  export type AppsGetRepoInstallationParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type AppsGetUserInstallationParams = {
-    username: string;
-  };
-  export type AppsListAccountsUserOrOrgOnPlanParams = {
-    /**
-     * To return the oldest accounts first, set to `asc`. Can be one of `asc` or `desc`. Ignored without the `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    plan_id: number;
-    /**
-     * Sorts the GitHub accounts by the date they were created or last updated. Can be one of `created` or `updated`.
-     */
-    sort?: "created" | "updated";
-  };
-  export type AppsListAccountsUserOrOrgOnPlanStubbedParams = {
-    /**
-     * To return the oldest accounts first, set to `asc`. Can be one of `asc` or `desc`. Ignored without the `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    plan_id: number;
-    /**
-     * Sorts the GitHub accounts by the date they were created or last updated. Can be one of `created` or `updated`.
-     */
-    sort?: "created" | "updated";
-  };
-  export type AppsListInstallationReposForAuthenticatedUserParams = {
-    installation_id: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type AppsListInstallationsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type AppsListInstallationsForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type AppsListMarketplacePurchasesForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type AppsListMarketplacePurchasesForAuthenticatedUserStubbedParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type AppsListPlansParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type AppsListPlansStubbedParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type AppsListReposParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type AppsRemoveRepoFromInstallationParams = {
-    installation_id: number;
-
-    repository_id: number;
-  };
-  export type AppsResetAuthorizationParams = {
-    access_token: string;
-
-    client_id: string;
-  };
-  export type AppsResetTokenParams = {
-    /**
-     * The OAuth access token used to authenticate to the GitHub API.
-     */
-    access_token?: string;
-
-    client_id: string;
-  };
-  export type AppsRevokeAuthorizationForApplicationParams = {
-    access_token: string;
-
-    client_id: string;
-  };
-  export type AppsRevokeGrantForApplicationParams = {
-    access_token: string;
-
-    client_id: string;
-  };
-  export type ChecksCreateParams = {
-    /**
-     * Displays a button on GitHub that can be clicked to alert your app to do additional tasks. For example, a code linting app can display a button that automatically fixes detected errors. The button created in this object is displayed after the check run completes. When a user clicks the button, GitHub sends the [`check_run.requested_action` webhook](https://developer.github.com/v3/activity/events/types/#checkrunevent) to your app. Each action includes a `label`, `identifier` and `description`. A maximum of three actions are accepted. See the [`actions` object](https://developer.github.com/v3/checks/runs/#actions-object) description. To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)." To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)."
-     */
-    actions?: ChecksCreateParamsActions[];
-    /**
-     * The time the check completed. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    completed_at?: string;
-    /**
-     * **Required if you provide `completed_at` or a `status` of `completed`**. The final conclusion of the check. Can be one of `success`, `failure`, `neutral`, `cancelled`, `timed_out`, or `action_required`. When the conclusion is `action_required`, additional details should be provided on the site specified by `details_url`.
-     * **Note:** Providing `conclusion` will automatically set the `status` parameter to `completed`.
-     */
-    conclusion?:
-      | "success"
-      | "failure"
-      | "neutral"
-      | "cancelled"
-      | "timed_out"
-      | "action_required";
-    /**
-     * The URL of the integrator's site that has the full details of the check.
-     */
-    details_url?: string;
-    /**
-     * A reference for the run on the integrator's system.
-     */
-    external_id?: string;
-    /**
-     * The SHA of the commit.
-     */
-    head_sha: string;
-    /**
-     * The name of the check. For example, "code-coverage".
-     */
-    name: string;
-    /**
-     * Check runs can accept a variety of data in the `output` object, including a `title` and `summary` and can optionally provide descriptive details about the run. See the [`output` object](https://developer.github.com/v3/checks/runs/#output-object) description.
-     */
-    output?: ChecksCreateParamsOutput;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The time that the check run began. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    started_at?: string;
-    /**
-     * The current status. Can be one of `queued`, `in_progress`, or `completed`.
-     */
-    status?: "queued" | "in_progress" | "completed";
-  };
-  export type ChecksCreateSuiteParams = {
-    /**
-     * The sha of the head commit.
-     */
-    head_sha: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ChecksGetParams = {
-    check_run_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ChecksGetSuiteParams = {
-    check_suite_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ChecksListAnnotationsParams = {
-    check_run_id: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ChecksListForRefParams = {
-    /**
-     * Returns check runs with the specified `name`.
-     */
-    check_name?: string;
-    /**
-     * Filters check runs by their `completed_at` timestamp. Can be one of `latest` (returning the most recent check runs) or `all`.
-     */
-    filter?: "latest" | "all";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    ref: string;
-
-    repo: string;
-    /**
-     * Returns check runs with the specified `status`. Can be one of `queued`, `in_progress`, or `completed`.
-     */
-    status?: "queued" | "in_progress" | "completed";
-  };
-  export type ChecksListForSuiteParams = {
-    /**
-     * Returns check runs with the specified `name`.
-     */
-    check_name?: string;
-
-    check_suite_id: number;
-    /**
-     * Filters check runs by their `completed_at` timestamp. Can be one of `latest` (returning the most recent check runs) or `all`.
-     */
-    filter?: "latest" | "all";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * Returns check runs with the specified `status`. Can be one of `queued`, `in_progress`, or `completed`.
-     */
-    status?: "queued" | "in_progress" | "completed";
-  };
-  export type ChecksListSuitesForRefParams = {
-    /**
-     * Filters check suites by GitHub App `id`.
-     */
-    app_id?: number;
-    /**
-     * Filters checks suites by the name of the [check run](https://developer.github.com/v3/checks/runs/).
-     */
-    check_name?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type ChecksRerequestSuiteParams = {
-    check_suite_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ChecksSetSuitesPreferencesParams = {
-    /**
-     * Enables or disables automatic creation of CheckSuite events upon pushes to the repository. Enabled by default. See the [`auto_trigger_checks` object](https://developer.github.com/v3/checks/suites/#auto_trigger_checks-object) description for details.
-     */
-    auto_trigger_checks?: ChecksSetSuitesPreferencesParamsAutoTriggerChecks[];
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ChecksUpdateParams = {
-    /**
-     * Possible further actions the integrator can perform, which a user may trigger. Each action includes a `label`, `identifier` and `description`. A maximum of three actions are accepted. See the [`actions` object](https://developer.github.com/v3/checks/runs/#actions-object) description. To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)."
-     */
-    actions?: ChecksUpdateParamsActions[];
-
-    check_run_id: number;
-    /**
-     * The time the check completed. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    completed_at?: string;
-    /**
-     * **Required if you provide `completed_at` or a `status` of `completed`**. The final conclusion of the check. Can be one of `success`, `failure`, `neutral`, `cancelled`, `timed_out`, or `action_required`.
-     * **Note:** Providing `conclusion` will automatically set the `status` parameter to `completed`.
-     */
-    conclusion?:
-      | "success"
-      | "failure"
-      | "neutral"
-      | "cancelled"
-      | "timed_out"
-      | "action_required";
-    /**
-     * The URL of the integrator's site that has the full details of the check.
-     */
-    details_url?: string;
-    /**
-     * A reference for the run on the integrator's system.
-     */
-    external_id?: string;
-    /**
-     * The name of the check. For example, "code-coverage".
-     */
-    name?: string;
-    /**
-     * Check runs can accept a variety of data in the `output` object, including a `title` and `summary` and can optionally provide descriptive details about the run. See the [`output` object](https://developer.github.com/v3/checks/runs/#output-object-1) description.
-     */
-    output?: ChecksUpdateParamsOutput;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    started_at?: string;
-    /**
-     * The current status. Can be one of `queued`, `in_progress`, or `completed`.
-     */
-    status?: "queued" | "in_progress" | "completed";
-  };
-  export type CodesOfConductGetConductCodeParams = {
-    key: string;
-  };
-  export type CodesOfConductGetForRepoParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type GistsCheckIsStarredParams = {
-    gist_id: string;
-  };
-  export type GistsCreateParams = {
-    /**
-     * A descriptive name for this gist.
-     */
-    description?: string;
-    /**
-     * The filenames and content of each file in the gist. The keys in the `files` object represent the filename and have the type `string`.
-     */
-    files: GistsCreateParamsFiles;
-    /**
-     * When `true`, the gist will be public and available for anyone to see.
-     */
-    public?: boolean;
-  };
-  export type GistsCreateCommentParams = {
-    /**
-     * The comment text.
-     */
-    body: string;
-
-    gist_id: string;
-  };
-  export type GistsDeleteParams = {
-    gist_id: string;
-  };
-  export type GistsDeleteCommentParams = {
-    comment_id: number;
-
-    gist_id: string;
-  };
-  export type GistsForkParams = {
-    gist_id: string;
-  };
-  export type GistsGetParams = {
-    gist_id: string;
-  };
-  export type GistsGetCommentParams = {
-    comment_id: number;
-
-    gist_id: string;
-  };
-  export type GistsGetRevisionParams = {
-    gist_id: string;
-
-    sha: string;
-  };
-  export type GistsListParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-     */
-    since?: string;
-  };
-  export type GistsListCommentsParams = {
-    gist_id: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type GistsListCommitsParams = {
-    gist_id: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type GistsListForksParams = {
-    gist_id: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type GistsListPublicParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-     */
-    since?: string;
-  };
-  export type GistsListPublicForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-     */
-    since?: string;
-
-    username: string;
-  };
-  export type GistsListStarredParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-     */
-    since?: string;
-  };
-  export type GistsStarParams = {
-    gist_id: string;
-  };
-  export type GistsUnstarParams = {
-    gist_id: string;
-  };
-  export type GistsUpdateParams = {
-    /**
-     * A descriptive name for this gist.
-     */
-    description?: string;
-    /**
-     * The filenames and content that make up this gist.
-     */
-    files?: GistsUpdateParamsFiles;
-
-    gist_id: string;
-  };
-  export type GistsUpdateCommentParams = {
-    /**
-     * The comment text.
-     */
-    body: string;
-
-    comment_id: number;
-
-    gist_id: string;
-  };
-  export type GitCreateBlobParams = {
-    /**
-     * The new blob's content.
-     */
-    content: string;
-    /**
-     * The encoding used for `content`. Currently, `"utf-8"` and `"base64"` are supported.
-     */
-    encoding?: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type GitCreateCommitParams = {
-    /**
-     * Information about the author of the commit. By default, the `author` will be the authenticated user and the current date. See the `author` and `committer` object below for details.
-     */
-    author?: GitCreateCommitParamsAuthor;
-    /**
-     * Information about the person who is making the commit. By default, `committer` will use the information set in `author`. See the `author` and `committer` object below for details.
-     */
-    committer?: GitCreateCommitParamsCommitter;
-    /**
-     * The commit message
-     */
-    message: string;
-
-    owner: string;
-    /**
-     * The SHAs of the commits that were the parents of this commit. If omitted or empty, the commit will be written as a root commit. For a single parent, an array of one SHA should be provided; for a merge commit, an array of more than one should be provided.
-     */
-    parents: string[];
-
-    repo: string;
-    /**
-     * The [PGP signature](https://en.wikipedia.org/wiki/Pretty_Good_Privacy) of the commit. GitHub adds the signature to the `gpgsig` header of the created commit. For a commit signature to be verifiable by Git or GitHub, it must be an ASCII-armored detached PGP signature over the string commit as it would be written to the object database. To pass a `signature` parameter, you need to first manually create a valid PGP signature, which can be complicated. You may find it easier to [use the command line](https://git-scm.com/book/id/v2/Git-Tools-Signing-Your-Work) to create signed commits.
-     */
-    signature?: string;
-    /**
-     * The SHA of the tree object this commit points to
-     */
-    tree: string;
-  };
-  export type GitCreateRefParams = {
-    owner: string;
-    /**
-     * The name of the fully qualified reference (ie: `refs/heads/master`). If it doesn't start with 'refs' and have at least two slashes, it will be rejected.
-     */
-    ref: string;
-
-    repo: string;
-    /**
-     * The SHA1 value for this reference.
-     */
-    sha: string;
-  };
-  export type GitCreateTagParams = {
-    /**
-     * The tag message.
-     */
-    message: string;
-    /**
-     * The SHA of the git object this is tagging.
-     */
-    object: string;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The tag's name. This is typically a version (e.g., "v0.0.1").
-     */
-    tag: string;
-    /**
-     * An object with information about the individual creating the tag.
-     */
-    tagger?: GitCreateTagParamsTagger;
-    /**
-     * The type of the object we're tagging. Normally this is a `commit` but it can also be a `tree` or a `blob`.
-     */
-    type: "commit" | "tree" | "blob";
-  };
-  export type GitCreateTreeParams = {
-    /**
-     * The SHA1 of the tree you want to update with new data. If you don't set this, the commit will be created on top of everything; however, it will only contain your change, the rest of your files will show up as deleted.
-     */
-    base_tree?: string;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * Objects (of `path`, `mode`, `type`, and `sha`) specifying a tree structure.
-     */
-    tree: GitCreateTreeParamsTree[];
-  };
-  export type GitDeleteRefParams = {
-    owner: string;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type GitGetBlobParams = {
-    file_sha: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type GitGetCommitParams = {
-    commit_sha: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type GitGetRefParams = {
-    owner: string;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type GitGetTagParams = {
-    owner: string;
-
-    repo: string;
-
-    tag_sha: string;
-  };
-  export type GitGetTreeParams = {
-    owner: string;
-
-    recursive?: "1";
-
-    repo: string;
-
-    tree_sha: string;
-  };
-  export type GitListMatchingRefsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type GitListRefsParams = {
-    /**
-     * Filter by sub-namespace (reference prefix). Most commen examples would be `'heads/'` and `'tags/'` to retrieve branches or tags
-     */
-    namespace?: string;
-
-    owner: string;
-
-    page?: number;
-
-    per_page?: number;
-
-    repo: string;
-  };
-  export type GitUpdateRefParams = {
-    /**
-     * Indicates whether to force the update or to make sure the update is a fast-forward update. Leaving this out or setting it to `false` will make sure you're not overwriting work.
-     */
-    force?: boolean;
-
-    owner: string;
-
-    ref: string;
-
-    repo: string;
-    /**
-     * The SHA1 value to set this reference to
-     */
-    sha: string;
-  };
-  export type GitignoreGetTemplateParams = {
-    name: string;
-  };
-  export type InteractionsAddOrUpdateRestrictionsForOrgParams = {
-    /**
-     * Specifies the group of GitHub users who can comment, open issues, or create pull requests in public repositories for the given organization. Must be one of: `existing_users`, `contributors_only`, or `collaborators_only`.
-     */
-    limit: "existing_users" | "contributors_only" | "collaborators_only";
-
-    org: string;
-  };
-  export type InteractionsAddOrUpdateRestrictionsForRepoParams = {
-    /**
-     * Specifies the group of GitHub users who can comment, open issues, or create pull requests for the given repository. Must be one of: `existing_users`, `contributors_only`, or `collaborators_only`.
-     */
-    limit: "existing_users" | "contributors_only" | "collaborators_only";
-
-    owner: string;
-
-    repo: string;
-  };
-  export type InteractionsGetRestrictionsForOrgParams = {
-    org: string;
-  };
-  export type InteractionsGetRestrictionsForRepoParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type InteractionsRemoveRestrictionsForOrgParams = {
-    org: string;
-  };
-  export type InteractionsRemoveRestrictionsForRepoParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesAddAssigneesParamsDeprecatedNumber = {
-    /**
-     * Usernames of people to assign this issue to. _NOTE: Only users with push access can add assignees to an issue. Assignees are silently ignored otherwise._
-     */
-    assignees?: string[];
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesAddAssigneesParams = {
-    /**
-     * Usernames of people to assign this issue to. _NOTE: Only users with push access can add assignees to an issue. Assignees are silently ignored otherwise._
-     */
-    assignees?: string[];
-
-    issue_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesAddLabelsParamsDeprecatedNumber = {
-    /**
-     * The name of the label to add to the issue. Must contain at least one label. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-     */
-    labels: string[];
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesAddLabelsParams = {
-    issue_number: number;
-    /**
-     * The name of the label to add to the issue. Must contain at least one label. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-     */
-    labels: string[];
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesCheckAssigneeParams = {
-    assignee: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesCreateParamsDeprecatedAssignee = {
-    /**
-     * Login for the user that this issue should be assigned to. _NOTE: Only users with push access can set the assignee for new issues. The assignee is silently dropped otherwise. **This field is deprecated.**_
-     * @deprecated "assignee" parameter has been deprecated and will be removed in future
-     */
-    assignee?: string;
-    /**
-     * Logins for Users to assign to this issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-    /**
-     * Labels to associate with this issue. _NOTE: Only users with push access can set labels for new issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with. _NOTE: Only users with push access can set the milestone for new issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The title of the issue.
-     */
-    title: string;
-  };
-  export type IssuesCreateParams = {
-    /**
-     * Logins for Users to assign to this issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-    /**
-     * Labels to associate with this issue. _NOTE: Only users with push access can set labels for new issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with. _NOTE: Only users with push access can set the milestone for new issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The title of the issue.
-     */
-    title: string;
-  };
-  export type IssuesCreateCommentParamsDeprecatedNumber = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesCreateCommentParams = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-
-    issue_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesCreateLabelParams = {
-    /**
-     * The [hexadecimal color code](http://www.color-hex.com/) for the label, without the leading `#`.
-     */
-    color: string;
-    /**
-     * A short description of the label.
-     */
-    description?: string;
-    /**
-     * The name of the label. Emoji can be added to label names, using either native emoji or colon-style markup. For example, typing `:strawberry:` will render the emoji ![:strawberry:](https://github.githubassets.com/images/icons/emoji/unicode/1f353.png ":strawberry:"). For a full list of available emoji and codes, see [emoji-cheat-sheet.com](http://emoji-cheat-sheet.com/).
-     */
-    name: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesCreateMilestoneParams = {
-    /**
-     * A description of the milestone.
-     */
-    description?: string;
-    /**
-     * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    due_on?: string;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The state of the milestone. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the milestone.
-     */
-    title: string;
-  };
-  export type IssuesDeleteCommentParams = {
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesDeleteLabelParams = {
-    name: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesDeleteMilestoneParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "milestone_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesDeleteMilestoneParams = {
-    milestone_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesGetParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesGetParams = {
-    issue_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesGetCommentParams = {
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesGetEventParams = {
-    event_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesGetLabelParams = {
-    name: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesGetMilestoneParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "milestone_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesGetMilestoneParams = {
-    milestone_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesListParams = {
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Indicates which sorts of issues to return. Can be one of:
-     * \* `assigned`: Issues assigned to you
-     * \* `created`: Issues created by you
-     * \* `mentioned`: Issues mentioning you
-     * \* `subscribed`: Issues you're subscribed to updates for
-     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-     */
-    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-    /**
-     * A list of comma separated label names. Example: `bug,ui,@high`
-     */
-    labels?: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `comments`.
-     */
-    sort?: "created" | "updated" | "comments";
-    /**
-     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-  };
-  export type IssuesListAssigneesParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListCommentsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-  };
-  export type IssuesListCommentsParams = {
-    issue_number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-  };
-  export type IssuesListCommentsForRepoParams = {
-    /**
-     * Either `asc` or `desc`. Ignored without the `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-
-    owner: string;
-
-    repo: string;
-    /**
-     * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * Either `created` or `updated`.
-     */
-    sort?: "created" | "updated";
-  };
-  export type IssuesListEventsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListEventsParams = {
-    issue_number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListEventsForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListEventsForTimelineParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListEventsForTimelineParams = {
-    issue_number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListForAuthenticatedUserParams = {
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Indicates which sorts of issues to return. Can be one of:
-     * \* `assigned`: Issues assigned to you
-     * \* `created`: Issues created by you
-     * \* `mentioned`: Issues mentioning you
-     * \* `subscribed`: Issues you're subscribed to updates for
-     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-     */
-    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-    /**
-     * A list of comma separated label names. Example: `bug,ui,@high`
-     */
-    labels?: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `comments`.
-     */
-    sort?: "created" | "updated" | "comments";
-    /**
-     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-  };
-  export type IssuesListForOrgParams = {
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Indicates which sorts of issues to return. Can be one of:
-     * \* `assigned`: Issues assigned to you
-     * \* `created`: Issues created by you
-     * \* `mentioned`: Issues mentioning you
-     * \* `subscribed`: Issues you're subscribed to updates for
-     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-     */
-    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-    /**
-     * A list of comma separated label names. Example: `bug,ui,@high`
-     */
-    labels?: string;
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `comments`.
-     */
-    sort?: "created" | "updated" | "comments";
-    /**
-     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-  };
-  export type IssuesListForRepoParams = {
-    /**
-     * Can be the name of a user. Pass in `none` for issues with no assigned user, and `*` for issues assigned to any user.
-     */
-    assignee?: string;
-    /**
-     * The user that created the issue.
-     */
-    creator?: string;
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * A list of comma separated label names. Example: `bug,ui,@high`
-     */
-    labels?: string;
-    /**
-     * A user that's mentioned in the issue.
-     */
-    mentioned?: string;
-    /**
-     * If an `integer` is passed, it should refer to a milestone by its `number` field. If the string `*` is passed, issues with any milestone are accepted. If the string `none` is passed, issues without milestones are returned.
-     */
-    milestone?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `comments`.
-     */
-    sort?: "created" | "updated" | "comments";
-    /**
-     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-  };
-  export type IssuesListLabelsForMilestoneParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "milestone_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListLabelsForMilestoneParams = {
-    milestone_number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListLabelsForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListLabelsOnIssueParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListLabelsOnIssueParams = {
-    issue_number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type IssuesListMilestonesForRepoParams = {
-    /**
-     * The direction of the sort. Either `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * What to sort results by. Either `due_on` or `completeness`.
-     */
-    sort?: "due_on" | "completeness";
-    /**
-     * The state of the milestone. Either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-  };
-  export type IssuesLockParamsDeprecatedNumber = {
-    /**
-     * The reason for locking the issue or pull request conversation. Lock will fail if you don't use one of these reasons:
-     * \* `off-topic`
-     * \* `too heated`
-     * \* `resolved`
-     * \* `spam`
-     */
-    lock_reason?: "off-topic" | "too heated" | "resolved" | "spam";
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesLockParams = {
-    issue_number: number;
-    /**
-     * The reason for locking the issue or pull request conversation. Lock will fail if you don't use one of these reasons:
-     * \* `off-topic`
-     * \* `too heated`
-     * \* `resolved`
-     * \* `spam`
-     */
-    lock_reason?: "off-topic" | "too heated" | "resolved" | "spam";
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesRemoveAssigneesParamsDeprecatedNumber = {
-    /**
-     * Usernames of assignees to remove from an issue. _NOTE: Only users with push access can remove assignees from an issue. Assignees are silently ignored otherwise._
-     */
-    assignees?: string[];
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesRemoveAssigneesParams = {
-    /**
-     * Usernames of assignees to remove from an issue. _NOTE: Only users with push access can remove assignees from an issue. Assignees are silently ignored otherwise._
-     */
-    assignees?: string[];
-
-    issue_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesRemoveLabelParamsDeprecatedNumber = {
-    name: string;
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesRemoveLabelParams = {
-    issue_number: number;
-
-    name: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesRemoveLabelsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesRemoveLabelsParams = {
-    issue_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesReplaceLabelsParamsDeprecatedNumber = {
-    /**
-     * The names of the labels to add to the issue. You can pass an empty array to remove all labels. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-     */
-    labels?: string[];
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesReplaceLabelsParams = {
-    issue_number: number;
-    /**
-     * The names of the labels to add to the issue. You can pass an empty array to remove all labels. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-     */
-    labels?: string[];
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesUnlockParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesUnlockParams = {
-    issue_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesUpdateParamsDeprecatedNumber = {
-    /**
-     * Logins for Users to assign to this issue. Pass one or more user logins to _replace_ the set of assignees on this Issue. Send an empty array (`[]`) to clear all assignees from the Issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-    /**
-     * Labels to associate with this issue. Pass one or more Labels to _replace_ the set of Labels on this Issue. Send an empty array (`[]`) to clear all Labels from the Issue. _NOTE: Only users with push access can set labels for issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with or `null` to remove current. _NOTE: Only users with push access can set the milestone for issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number | null;
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * State of the issue. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the issue.
-     */
-    title?: string;
-  };
-  export type IssuesUpdateParamsDeprecatedAssignee = {
-    /**
-     * Login for the user that this issue should be assigned to. **This field is deprecated.**
-     * @deprecated "assignee" parameter has been deprecated and will be removed in future
-     */
-    assignee?: string;
-    /**
-     * Logins for Users to assign to this issue. Pass one or more user logins to _replace_ the set of assignees on this Issue. Send an empty array (`[]`) to clear all assignees from the Issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-
-    issue_number: number;
-    /**
-     * Labels to associate with this issue. Pass one or more Labels to _replace_ the set of Labels on this Issue. Send an empty array (`[]`) to clear all Labels from the Issue. _NOTE: Only users with push access can set labels for issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with or `null` to remove current. _NOTE: Only users with push access can set the milestone for issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number | null;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * State of the issue. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the issue.
-     */
-    title?: string;
-  };
-  export type IssuesUpdateParams = {
-    /**
-     * Logins for Users to assign to this issue. Pass one or more user logins to _replace_ the set of assignees on this Issue. Send an empty array (`[]`) to clear all assignees from the Issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-     */
-    assignees?: string[];
-    /**
-     * The contents of the issue.
-     */
-    body?: string;
-
-    issue_number: number;
-    /**
-     * Labels to associate with this issue. Pass one or more Labels to _replace_ the set of Labels on this Issue. Send an empty array (`[]`) to clear all Labels from the Issue. _NOTE: Only users with push access can set labels for issues. Labels are silently dropped otherwise._
-     */
-    labels?: string[];
-    /**
-     * The `number` of the milestone to associate this issue with or `null` to remove current. _NOTE: Only users with push access can set the milestone for issues. The milestone is silently dropped otherwise._
-     */
-    milestone?: number | null;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * State of the issue. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the issue.
-     */
-    title?: string;
-  };
-  export type IssuesUpdateCommentParams = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesUpdateLabelParams = {
-    /**
-     * The [hexadecimal color code](http://www.color-hex.com/) for the label, without the leading `#`.
-     */
-    color?: string;
-
-    current_name: string;
-    /**
-     * A short description of the label.
-     */
-    description?: string;
-    /**
-     * The new name of the label. Emoji can be added to label names, using either native emoji or colon-style markup. For example, typing `:strawberry:` will render the emoji ![:strawberry:](https://github.githubassets.com/images/icons/emoji/unicode/1f353.png ":strawberry:"). For a full list of available emoji and codes, see [emoji-cheat-sheet.com](http://emoji-cheat-sheet.com/).
-     */
-    name?: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type IssuesUpdateMilestoneParamsDeprecatedNumber = {
-    /**
-     * A description of the milestone.
-     */
-    description?: string;
-    /**
-     * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    due_on?: string;
-    /**
-     * @deprecated "number" parameter renamed to "milestone_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The state of the milestone. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the milestone.
-     */
-    title?: string;
-  };
-  export type IssuesUpdateMilestoneParams = {
-    /**
-     * A description of the milestone.
-     */
-    description?: string;
-    /**
-     * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    due_on?: string;
-
-    milestone_number: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The state of the milestone. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the milestone.
-     */
-    title?: string;
-  };
-  export type LicensesGetParams = {
-    license: string;
-  };
-  export type LicensesGetForRepoParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type MarkdownRenderParams = {
-    /**
-     * The repository context to use when creating references in `gfm` mode. Omit this parameter when using `markdown` mode.
-     */
-    context?: string;
-    /**
-     * The rendering mode. Can be either:
-     * \* `markdown` to render a document in plain Markdown, just like README.md files are rendered.
-     * \* `gfm` to render a document in [GitHub Flavored Markdown](https://github.github.com/gfm/), which creates links for user mentions as well as references to SHA-1 hashes, issues, and pull requests.
-     */
-    mode?: "markdown" | "gfm";
-    /**
-     * The Markdown text to render in HTML. Markdown content must be 400 KB or less.
-     */
-    text: string;
-  };
-  export type MarkdownRenderRawParams = {
-    data: string;
-  };
-  export type MigrationsCancelImportParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type MigrationsDeleteArchiveForAuthenticatedUserParams = {
-    migration_id: number;
-  };
-  export type MigrationsDeleteArchiveForOrgParams = {
-    migration_id: number;
-
-    org: string;
-  };
-  export type MigrationsDownloadArchiveForOrgParams = {
-    migration_id: number;
-
-    org: string;
-  };
-  export type MigrationsGetArchiveForAuthenticatedUserParams = {
-    migration_id: number;
-  };
-  export type MigrationsGetArchiveForOrgParams = {
-    migration_id: number;
-
-    org: string;
-  };
-  export type MigrationsGetCommitAuthorsParams = {
-    owner: string;
-
-    repo: string;
-    /**
-     * Only authors found after this id are returned. Provide the highest author ID you've seen so far. New authors may be added to the list at any point while the importer is performing the `raw` step.
-     */
-    since?: string;
-  };
-  export type MigrationsGetImportProgressParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type MigrationsGetLargeFilesParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type MigrationsGetStatusForAuthenticatedUserParams = {
-    migration_id: number;
-  };
-  export type MigrationsGetStatusForOrgParams = {
-    migration_id: number;
-
-    org: string;
-  };
-  export type MigrationsListForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type MigrationsListForOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type MigrationsListReposForOrgParams = {
-    migration_id: number;
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type MigrationsListReposForUserParams = {
-    migration_id: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type MigrationsMapCommitAuthorParams = {
-    author_id: number;
-    /**
-     * The new Git author email.
-     */
-    email?: string;
-    /**
-     * The new Git author name.
-     */
-    name?: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type MigrationsSetLfsPreferenceParams = {
-    owner: string;
-
-    repo: string;
-    /**
-     * Can be one of `opt_in` (large files will be stored using Git LFS) or `opt_out` (large files will be removed during the import).
-     */
-    use_lfs: "opt_in" | "opt_out";
-  };
-  export type MigrationsStartForAuthenticatedUserParams = {
-    /**
-     * Does not include attachments uploaded to GitHub.com in the migration data when set to `true`. Excluding attachments will reduce the migration archive file size.
-     */
-    exclude_attachments?: boolean;
-    /**
-     * Locks the `repositories` to prevent changes during the migration when set to `true`.
-     */
-    lock_repositories?: boolean;
-    /**
-     * An array of repositories to include in the migration.
-     */
-    repositories: string[];
-  };
-  export type MigrationsStartForOrgParams = {
-    /**
-     * Indicates whether attachments should be excluded from the migration (to reduce migration archive file size).
-     */
-    exclude_attachments?: boolean;
-    /**
-     * Indicates whether repositories should be locked (to prevent manipulation) while migrating data.
-     */
-    lock_repositories?: boolean;
-
-    org: string;
-    /**
-     * A list of arrays indicating which repositories should be migrated.
-     */
-    repositories: string[];
-  };
-  export type MigrationsStartImportParams = {
-    owner: string;
-
-    repo: string;
-    /**
-     * For a tfvc import, the name of the project that is being imported.
-     */
-    tfvc_project?: string;
-    /**
-     * The originating VCS type. Can be one of `subversion`, `git`, `mercurial`, or `tfvc`. Please be aware that without this parameter, the import job will take additional time to detect the VCS type before beginning the import. This detection step will be reflected in the response.
-     */
-    vcs?: "subversion" | "git" | "mercurial" | "tfvc";
-    /**
-     * If authentication is required, the password to provide to `vcs_url`.
-     */
-    vcs_password?: string;
-    /**
-     * The URL of the originating repository.
-     */
-    vcs_url: string;
-    /**
-     * If authentication is required, the username to provide to `vcs_url`.
-     */
-    vcs_username?: string;
-  };
-  export type MigrationsUnlockRepoForAuthenticatedUserParams = {
-    migration_id: number;
-
-    repo_name: string;
-  };
-  export type MigrationsUnlockRepoForOrgParams = {
-    migration_id: number;
-
-    org: string;
-
-    repo_name: string;
-  };
-  export type MigrationsUpdateImportParams = {
-    owner: string;
-
-    repo: string;
-    /**
-     * The password to provide to the originating repository.
-     */
-    vcs_password?: string;
-    /**
-     * The username to provide to the originating repository.
-     */
-    vcs_username?: string;
-  };
-  export type OauthAuthorizationsCheckAuthorizationParams = {
-    access_token: string;
-
-    client_id: string;
-  };
-  export type OauthAuthorizationsCreateAuthorizationParams = {
-    /**
-     * The 20 character OAuth app client key for which to create the token.
-     */
-    client_id?: string;
-    /**
-     * The 40 character OAuth app client secret for which to create the token.
-     */
-    client_secret?: string;
-    /**
-     * A unique string to distinguish an authorization from others created for the same client ID and user.
-     */
-    fingerprint?: string;
-    /**
-     * A note to remind you what the OAuth token is for. Tokens not associated with a specific OAuth application (i.e. personal access tokens) must have a unique note.
-     */
-    note: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes that this authorization is in.
-     */
-    scopes?: string[];
-  };
-  export type OauthAuthorizationsDeleteAuthorizationParams = {
-    authorization_id: number;
-  };
-  export type OauthAuthorizationsDeleteGrantParams = {
-    grant_id: number;
-  };
-  export type OauthAuthorizationsGetAuthorizationParams = {
-    authorization_id: number;
-  };
-  export type OauthAuthorizationsGetGrantParams = {
-    grant_id: number;
-  };
-  export type OauthAuthorizationsGetOrCreateAuthorizationForAppParams = {
-    client_id: string;
-    /**
-     * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-     */
-    client_secret: string;
-    /**
-     * A unique string to distinguish an authorization from others created for the same client and user. If provided, this API is functionally equivalent to [Get-or-create an authorization for a specific app and fingerprint](https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint).
-     */
-    fingerprint?: string;
-    /**
-     * A note to remind you what the OAuth token is for.
-     */
-    note?: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes that this authorization is in.
-     */
-    scopes?: string[];
-  };
-  export type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintParams = {
-    client_id: string;
-    /**
-     * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-     */
-    client_secret: string;
-
-    fingerprint: string;
-    /**
-     * A note to remind you what the OAuth token is for.
-     */
-    note?: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes that this authorization is in.
-     */
-    scopes?: string[];
-  };
-  export type OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintParams = {
-    client_id: string;
-    /**
-     * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-     */
-    client_secret: string;
-
-    fingerprint: string;
-    /**
-     * A note to remind you what the OAuth token is for.
-     */
-    note?: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes that this authorization is in.
-     */
-    scopes?: string[];
-  };
-  export type OauthAuthorizationsListAuthorizationsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OauthAuthorizationsListGrantsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OauthAuthorizationsResetAuthorizationParams = {
-    access_token: string;
-
-    client_id: string;
-  };
-  export type OauthAuthorizationsRevokeAuthorizationForApplicationParams = {
-    access_token: string;
-
-    client_id: string;
-  };
-  export type OauthAuthorizationsRevokeGrantForApplicationParams = {
-    access_token: string;
-
-    client_id: string;
-  };
-  export type OauthAuthorizationsUpdateAuthorizationParams = {
-    /**
-     * A list of scopes to add to this authorization.
-     */
-    add_scopes?: string[];
-
-    authorization_id: number;
-    /**
-     * A unique string to distinguish an authorization from others created for the same client ID and user.
-     */
-    fingerprint?: string;
-    /**
-     * A note to remind you what the OAuth token is for. Tokens not associated with a specific OAuth application (i.e. personal access tokens) must have a unique note.
-     */
-    note?: string;
-    /**
-     * A URL to remind you what app the OAuth token is for.
-     */
-    note_url?: string;
-    /**
-     * A list of scopes to remove from this authorization.
-     */
-    remove_scopes?: string[];
-    /**
-     * Replaces the authorization scopes with these.
-     */
-    scopes?: string[];
-  };
-  export type OrgsAddOrUpdateMembershipParams = {
-    org: string;
-    /**
-     * The role to give the user in the organization. Can be one of:
-     * \* `admin` - The user will become an owner of the organization.
-     * \* `member` - The user will become a non-owner member of the organization.
-     */
-    role?: "admin" | "member";
-
-    username: string;
-  };
-  export type OrgsBlockUserParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsCheckBlockedUserParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsCheckMembershipParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsCheckPublicMembershipParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsConcealMembershipParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsConvertMemberToOutsideCollaboratorParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsCreateHookParams = {
-    /**
-     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-     */
-    active?: boolean;
-    /**
-     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/orgs/hooks/#create-hook-config-params).
-     */
-    config: OrgsCreateHookParamsConfig;
-    /**
-     * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-     */
-    events?: string[];
-    /**
-     * Must be passed as "web".
-     */
-    name: string;
-
-    org: string;
-  };
-  export type OrgsCreateInvitationParams = {
-    /**
-     * **Required unless you provide `invitee_id`**. Email address of the person you are inviting, which can be an existing GitHub user.
-     */
-    email?: string;
-    /**
-     * **Required unless you provide `email`**. GitHub user ID for the person you are inviting.
-     */
-    invitee_id?: number;
-
-    org: string;
-    /**
-     * Specify role for new member. Can be one of:
-     * \* `admin` - Organization owners with full administrative rights to the organization and complete access to all repositories and teams.
-     * \* `direct_member` - Non-owner organization members with ability to see other members and join teams by invitation.
-     * \* `billing_manager` - Non-owner organization members with ability to manage the billing settings of your organization.
-     */
-    role?: "admin" | "direct_member" | "billing_manager";
-    /**
-     * Specify IDs for the teams you want to invite new members to.
-     */
-    team_ids?: number[];
-  };
-  export type OrgsDeleteHookParams = {
-    hook_id: number;
-
-    org: string;
-  };
-  export type OrgsGetParams = {
-    org: string;
-  };
-  export type OrgsGetHookParams = {
-    hook_id: number;
-
-    org: string;
-  };
-  export type OrgsGetMembershipParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsGetMembershipForAuthenticatedUserParams = {
-    org: string;
-  };
-  export type OrgsListParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The integer ID of the last organization that you've seen.
-     */
-    since?: number;
-  };
-  export type OrgsListBlockedUsersParams = {
-    org: string;
-  };
-  export type OrgsListForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OrgsListForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type OrgsListHooksParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OrgsListInstallationsParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OrgsListInvitationTeamsParams = {
-    invitation_id: number;
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OrgsListMembersParams = {
-    /**
-     * Filter members returned in the list. Can be one of:
-     * \* `2fa_disabled` - Members without [two-factor authentication](https://github.com/blog/1614-two-factor-authentication) enabled. Available for organization owners.
-     * \* `all` - All members the authenticated user can see.
-     */
-    filter?: "2fa_disabled" | "all";
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Filter members returned by their role. Can be one of:
-     * \* `all` - All members of the organization, regardless of role.
-     * \* `admin` - Organization owners.
-     * \* `member` - Non-owner organization members.
-     */
-    role?: "all" | "admin" | "member";
-  };
-  export type OrgsListMembershipsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Indicates the state of the memberships to return. Can be either `active` or `pending`. If not specified, the API returns both active and pending memberships.
-     */
-    state?: "active" | "pending";
-  };
-  export type OrgsListOutsideCollaboratorsParams = {
-    /**
-     * Filter the list of outside collaborators. Can be one of:
-     * \* `2fa_disabled`: Outside collaborators without [two-factor authentication](https://github.com/blog/1614-two-factor-authentication) enabled.
-     * \* `all`: All outside collaborators.
-     */
-    filter?: "2fa_disabled" | "all";
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OrgsListPendingInvitationsParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OrgsListPublicMembersParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type OrgsPingHookParams = {
-    hook_id: number;
-
-    org: string;
-  };
-  export type OrgsPublicizeMembershipParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsRemoveMemberParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsRemoveMembershipParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsRemoveOutsideCollaboratorParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsUnblockUserParams = {
-    org: string;
-
-    username: string;
-  };
-  export type OrgsUpdateParamsDeprecatedMembersAllowedRepositoryCreationType = {
-    /**
-     * Billing email address. This address is not publicized.
-     */
-    billing_email?: string;
-    /**
-     * The company name.
-     */
-    company?: string;
-    /**
-     * Default permission level members have for organization repositories:
-     * \* `read` - can pull, but not push to or administer this repository.
-     * \* `write` - can pull and push, but not administer this repository.
-     * \* `admin` - can pull, push, and administer this repository.
-     * \* `none` - no permissions granted by default.
-     */
-    default_repository_permission?: "read" | "write" | "admin" | "none";
-    /**
-     * The description of the company.
-     */
-    description?: string;
-    /**
-     * The publicly visible email address.
-     */
-    email?: string;
-    /**
-     * Toggles whether an organization can use organization projects.
-     */
-    has_organization_projects?: boolean;
-    /**
-     * Toggles whether repositories that belong to the organization can use repository projects.
-     */
-    has_repository_projects?: boolean;
-    /**
-     * The location.
-     */
-    location?: string;
-    /**
-     * Specifies which types of repositories non-admin organization members can create. Can be one of:
-     * \* `all` - all organization members can create public and private repositories.
-     * \* `private` - members can create private repositories. This option is only available to repositories that are part of an organization on GitHub Enterprise Cloud.
-     * \* `none` - only admin members can create repositories.
-     * **Note:** This parameter is deprecated and will be removed in the future. Its return value ignores internal repositories. Using this parameter overrides values set in `members_can_create_repositories`. See [this note](https://developer.github.com/v3/orgs/#members_can_create_repositories) for details.
-     * @deprecated "members_allowed_repository_creation_type" parameter has been deprecated and will be removed in future
-     */
-    members_allowed_repository_creation_type?: string;
-    /**
-     * Toggles whether organization members can create internal repositories, which are visible to all enterprise members. You can only allow members to create internal repositories if your organization is associated with an enterprise account using GitHub Enterprise Cloud. Can be one of:
-     * \* `true` - all organization members can create internal repositories.
-     * \* `false` - only organization owners can create internal repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_internal_repositories?: boolean;
-    /**
-     * Toggles whether organization members can create private repositories, which are visible to organization members with permission. Can be one of:
-     * \* `true` - all organization members can create private repositories.
-     * \* `false` - only organization owners can create private repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_private_repositories?: boolean;
-    /**
-     * Toggles whether organization members can create public repositories, which are visible to anyone. Can be one of:
-     * \* `true` - all organization members can create public repositories.
-     * \* `false` - only organization owners can create public repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_public_repositories?: boolean;
-    /**
-     * Toggles the ability of non-admin organization members to create repositories. Can be one of:
-     * \* `true` - all organization members can create repositories.
-     * \* `false` - only organization owners can create repositories.
-     * Default: `true`
-     * **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details. **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details.
-     */
-    members_can_create_repositories?: boolean;
-    /**
-     * The shorthand name of the company.
-     */
-    name?: string;
-
-    org: string;
-  };
-  export type OrgsUpdateParams = {
-    /**
-     * Billing email address. This address is not publicized.
-     */
-    billing_email?: string;
-    /**
-     * The company name.
-     */
-    company?: string;
-    /**
-     * Default permission level members have for organization repositories:
-     * \* `read` - can pull, but not push to or administer this repository.
-     * \* `write` - can pull and push, but not administer this repository.
-     * \* `admin` - can pull, push, and administer this repository.
-     * \* `none` - no permissions granted by default.
-     */
-    default_repository_permission?: "read" | "write" | "admin" | "none";
-    /**
-     * The description of the company.
-     */
-    description?: string;
-    /**
-     * The publicly visible email address.
-     */
-    email?: string;
-    /**
-     * Toggles whether an organization can use organization projects.
-     */
-    has_organization_projects?: boolean;
-    /**
-     * Toggles whether repositories that belong to the organization can use repository projects.
-     */
-    has_repository_projects?: boolean;
-    /**
-     * The location.
-     */
-    location?: string;
-    /**
-     * Toggles whether organization members can create internal repositories, which are visible to all enterprise members. You can only allow members to create internal repositories if your organization is associated with an enterprise account using GitHub Enterprise Cloud. Can be one of:
-     * \* `true` - all organization members can create internal repositories.
-     * \* `false` - only organization owners can create internal repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_internal_repositories?: boolean;
-    /**
-     * Toggles whether organization members can create private repositories, which are visible to organization members with permission. Can be one of:
-     * \* `true` - all organization members can create private repositories.
-     * \* `false` - only organization owners can create private repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_private_repositories?: boolean;
-    /**
-     * Toggles whether organization members can create public repositories, which are visible to anyone. Can be one of:
-     * \* `true` - all organization members can create public repositories.
-     * \* `false` - only organization owners can create public repositories.
-     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-     */
-    members_can_create_public_repositories?: boolean;
-    /**
-     * Toggles the ability of non-admin organization members to create repositories. Can be one of:
-     * \* `true` - all organization members can create repositories.
-     * \* `false` - only organization owners can create repositories.
-     * Default: `true`
-     * **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details. **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details.
-     */
-    members_can_create_repositories?: boolean;
-    /**
-     * The shorthand name of the company.
-     */
-    name?: string;
-
-    org: string;
-  };
-  export type OrgsUpdateHookParams = {
-    /**
-     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-     */
-    active?: boolean;
-    /**
-     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/orgs/hooks/#update-hook-config-params).
-     */
-    config?: OrgsUpdateHookParamsConfig;
-    /**
-     * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-     */
-    events?: string[];
-
-    hook_id: number;
-
-    org: string;
-  };
-  export type OrgsUpdateMembershipParams = {
-    org: string;
-    /**
-     * The state that the membership should be in. Only `"active"` will be accepted.
-     */
-    state: "active";
-  };
-  export type ProjectsAddCollaboratorParams = {
-    /**
-     * The permission to grant the collaborator. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)." Can be one of:
-     * \* `read` - can read, but not write to or administer this project.
-     * \* `write` - can read and write, but not administer this project.
-     * \* `admin` - can read, write and administer this project.
-     */
-    permission?: "read" | "write" | "admin";
-
-    project_id: number;
-
-    username: string;
-  };
-  export type ProjectsCreateCardParams = {
-    column_id: number;
-    /**
-     * The issue or pull request id you want to associate with this card. You can use the [List issues for a repository](https://developer.github.com/v3/issues/#list-issues-for-a-repository) and [List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests) endpoints to find this id.
-     * **Note:** Depending on whether you use the issue id or pull request id, you will need to specify `Issue` or `PullRequest` as the `content_type`.
-     */
-    content_id?: number;
-    /**
-     * **Required if you provide `content_id`**. The type of content you want to associate with this card. Use `Issue` when `content_id` is an issue id and use `PullRequest` when `content_id` is a pull request id.
-     */
-    content_type?: string;
-    /**
-     * The card's note content. Only valid for cards without another type of content, so you must omit when specifying `content_id` and `content_type`.
-     */
-    note?: string;
-  };
-  export type ProjectsCreateColumnParams = {
-    /**
-     * The name of the column.
-     */
-    name: string;
-
-    project_id: number;
-  };
-  export type ProjectsCreateForAuthenticatedUserParams = {
-    /**
-     * The description of the project.
-     */
-    body?: string;
-    /**
-     * The name of the project.
-     */
-    name: string;
-  };
-  export type ProjectsCreateForOrgParams = {
-    /**
-     * The description of the project.
-     */
-    body?: string;
-    /**
-     * The name of the project.
-     */
-    name: string;
-
-    org: string;
-  };
-  export type ProjectsCreateForRepoParams = {
-    /**
-     * The description of the project.
-     */
-    body?: string;
-    /**
-     * The name of the project.
-     */
-    name: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ProjectsDeleteParams = {
-    project_id: number;
-  };
-  export type ProjectsDeleteCardParams = {
-    card_id: number;
-  };
-  export type ProjectsDeleteColumnParams = {
-    column_id: number;
-  };
-  export type ProjectsGetParams = {
-    project_id: number;
-  };
-  export type ProjectsGetCardParams = {
-    card_id: number;
-  };
-  export type ProjectsGetColumnParams = {
-    column_id: number;
-  };
-  export type ProjectsListCardsParams = {
-    /**
-     * Filters the project cards that are returned by the card's state. Can be one of `all`,`archived`, or `not_archived`.
-     */
-    archived_state?: "all" | "archived" | "not_archived";
-
-    column_id: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type ProjectsListCollaboratorsParams = {
-    /**
-     * Filters the collaborators by their affiliation. Can be one of:
-     * \* `outside`: Outside collaborators of a project that are not a member of the project's organization.
-     * \* `direct`: Collaborators with permissions to a project, regardless of organization membership status.
-     * \* `all`: All collaborators the authenticated user can see.
-     */
-    affiliation?: "outside" | "direct" | "all";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    project_id: number;
-  };
-  export type ProjectsListColumnsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    project_id: number;
-  };
-  export type ProjectsListForOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-  };
-  export type ProjectsListForRepoParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-  };
-  export type ProjectsListForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-     */
-    state?: "open" | "closed" | "all";
-
-    username: string;
-  };
-  export type ProjectsMoveCardParams = {
-    card_id: number;
-    /**
-     * The `id` value of a column in the same project.
-     */
-    column_id?: number;
-    /**
-     * Can be one of `top`, `bottom`, or `after:<card_id>`, where `<card_id>` is the `id` value of a card in the same column, or in the new column specified by `column_id`.
-     */
-    position: string;
-  };
-  export type ProjectsMoveColumnParams = {
-    column_id: number;
-    /**
-     * Can be one of `first`, `last`, or `after:<column_id>`, where `<column_id>` is the `id` value of a column in the same project.
-     */
-    position: string;
-  };
-  export type ProjectsRemoveCollaboratorParams = {
-    project_id: number;
-
-    username: string;
-  };
-  export type ProjectsReviewUserPermissionLevelParams = {
-    project_id: number;
-
-    username: string;
-  };
-  export type ProjectsUpdateParams = {
-    /**
-     * The description of the project.
-     */
-    body?: string;
-    /**
-     * The name of the project.
-     */
-    name?: string;
-    /**
-     * The permission level that determines whether all members of the project's organization can see and/or make changes to the project. Setting `organization_permission` is only available for organization projects. If an organization member belongs to a team with a higher level of access or is a collaborator with a higher level of access, their permission level is not lowered by `organization_permission`. For information on changing access for a team or collaborator, see [Add or update team project](https://developer.github.com/v3/teams/#add-or-update-team-project) or [Add user as a collaborator](https://developer.github.com/v3/projects/collaborators/#add-user-as-a-collaborator).
-     *
-     * **Note:** Updating a project's `organization_permission` requires `admin` access to the project.
-     *
-     * Can be one of:
-     * \* `read` - Organization members can read, but not write to or administer this project.
-     * \* `write` - Organization members can read and write, but not administer this project.
-     * \* `admin` - Organization members can read, write and administer this project.
-     * \* `none` - Organization members can only see this project if it is public.
-     */
-    organization_permission?: string;
-    /**
-     * Sets the visibility of a project board. Setting `private` is only available for organization and user projects. **Note:** Updating a project's visibility requires `admin` access to the project.
-     *
-     * Can be one of:
-     * \* `false` - Anyone can see the project.
-     * \* `true` - Only the user can view a project board created on a user account. Organization members with the appropriate `organization_permission` can see project boards in an organization account.
-     */
-    private?: boolean;
-
-    project_id: number;
-    /**
-     * State of the project. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-  };
-  export type ProjectsUpdateCardParams = {
-    /**
-     * Use `true` to archive a project card. Specify `false` if you need to restore a previously archived project card.
-     */
-    archived?: boolean;
-
-    card_id: number;
-    /**
-     * The card's note content. Only valid for cards without another type of content, so this cannot be specified if the card already has a `content_id` and `content_type`.
-     */
-    note?: string;
-  };
-  export type ProjectsUpdateColumnParams = {
-    column_id: number;
-    /**
-     * The new name of the column.
-     */
-    name: string;
-  };
-  export type PullsCheckIfMergedParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type PullsCheckIfMergedParams = {
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsCreateParams = {
-    /**
-     * The name of the branch you want the changes pulled into. This should be an existing branch on the current repository. You cannot submit a pull request to one repository that requests a merge to a base of another repository.
-     */
-    base: string;
-    /**
-     * The contents of the pull request.
-     */
-    body?: string;
-    /**
-     * Indicates whether the pull request is a draft. See "[Draft Pull Requests](https://help.github.com/en/articles/about-pull-requests#draft-pull-requests)" in the GitHub Help documentation to learn more.
-     */
-    draft?: boolean;
-    /**
-     * The name of the branch where your changes are implemented. For cross-repository pull requests in the same network, namespace `head` with a user like this: `username:branch`.
-     */
-    head: string;
-    /**
-     * Indicates whether [maintainers can modify](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
-     */
-    maintainer_can_modify?: boolean;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The title of the new pull request.
-     */
-    title: string;
-  };
-  export type PullsCreateCommentParamsDeprecatedNumber = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-  };
-  export type PullsCreateCommentParamsDeprecatedInReplyTo = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.
-     * @deprecated "in_reply_to" parameter has been deprecated and will be removed in future
-     */
-    in_reply_to?: number;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-  };
-  export type PullsCreateCommentParams = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-  };
-  export type PullsCreateCommentReplyParamsDeprecatedNumber = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-  };
-  export type PullsCreateCommentReplyParamsDeprecatedInReplyTo = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * The comment ID to reply to. **Note**: This must be the ID of a top-level comment, not a reply to that comment. Replies to replies are not supported.
-     * @deprecated "in_reply_to" parameter has been deprecated and will be removed in future
-     */
-    in_reply_to?: number;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-  };
-  export type PullsCreateCommentReplyParams = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-    /**
-     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-     */
-    commit_id: string;
-    /**
-     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-     */
-    line?: number;
-
-    owner: string;
-    /**
-     * The relative path to the file that necessitates a comment.
-     */
-    path: string;
-    /**
-     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-     */
-    position?: number;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-     */
-    side?: "LEFT" | "RIGHT";
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-     */
-    start_line?: number;
-    /**
-     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-     */
-    start_side?: "LEFT" | "RIGHT" | "side";
-  };
-  export type PullsCreateFromIssueParams = {
-    base: string;
-
-    draft?: boolean;
-
-    head: string;
-
-    issue: number;
-
-    maintainer_can_modify?: boolean;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type PullsCreateReviewParamsDeprecatedNumber = {
-    /**
-     * **Required** when using `REQUEST_CHANGES` or `COMMENT` for the `event` parameter. The body text of the pull request review.
-     */
-    body?: string;
-    /**
-     * Use the following table to specify the location, destination, and contents of the draft review comment.
-     */
-    comments?: PullsCreateReviewParamsComments[];
-    /**
-     * The SHA of the commit that needs a review. Not using the latest commit SHA may render your review comment outdated if a subsequent commit modifies the line you specify as the `position`. Defaults to the most recent commit in the pull request when you do not specify a value.
-     */
-    commit_id?: string;
-    /**
-     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. By leaving this blank, you set the review action state to `PENDING`, which means you will need to [submit the pull request review](https://developer.github.com/v3/pulls/reviews/#submit-a-pull-request-review) when you are ready.
-     */
-    event?: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type PullsCreateReviewParams = {
-    /**
-     * **Required** when using `REQUEST_CHANGES` or `COMMENT` for the `event` parameter. The body text of the pull request review.
-     */
-    body?: string;
-    /**
-     * Use the following table to specify the location, destination, and contents of the draft review comment.
-     */
-    comments?: PullsCreateReviewParamsComments[];
-    /**
-     * The SHA of the commit that needs a review. Not using the latest commit SHA may render your review comment outdated if a subsequent commit modifies the line you specify as the `position`. Defaults to the most recent commit in the pull request when you do not specify a value.
-     */
-    commit_id?: string;
-    /**
-     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. By leaving this blank, you set the review action state to `PENDING`, which means you will need to [submit the pull request review](https://developer.github.com/v3/pulls/reviews/#submit-a-pull-request-review) when you are ready.
-     */
-    event?: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsCreateReviewCommentReplyParams = {
-    /**
-     * The text of the review comment.
-     */
-    body: string;
-
-    comment_id: number;
-
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsCreateReviewRequestParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * An array of user `login`s that will be requested.
-     */
-    reviewers?: string[];
-    /**
-     * An array of team `slug`s that will be requested.
-     */
-    team_reviewers?: string[];
-  };
-  export type PullsCreateReviewRequestParams = {
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * An array of user `login`s that will be requested.
-     */
-    reviewers?: string[];
-    /**
-     * An array of team `slug`s that will be requested.
-     */
-    team_reviewers?: string[];
-  };
-  export type PullsDeleteCommentParams = {
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type PullsDeletePendingReviewParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsDeletePendingReviewParams = {
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsDeleteReviewRequestParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * An array of user `login`s that will be removed.
-     */
-    reviewers?: string[];
-    /**
-     * An array of team `slug`s that will be removed.
-     */
-    team_reviewers?: string[];
-  };
-  export type PullsDeleteReviewRequestParams = {
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * An array of user `login`s that will be removed.
-     */
-    reviewers?: string[];
-    /**
-     * An array of team `slug`s that will be removed.
-     */
-    team_reviewers?: string[];
-  };
-  export type PullsDismissReviewParamsDeprecatedNumber = {
-    /**
-     * The message for the pull request review dismissal
-     */
-    message: string;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsDismissReviewParams = {
-    /**
-     * The message for the pull request review dismissal
-     */
-    message: string;
-
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsGetParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type PullsGetParams = {
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsGetCommentParams = {
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type PullsGetCommentsForReviewParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsGetCommentsForReviewParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    pull_number: number;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsGetReviewParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsGetReviewParams = {
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsListParams = {
-    /**
-     * Filter pulls by base branch name. Example: `gh-pages`.
-     */
-    base?: string;
-    /**
-     * The direction of the sort. Can be either `asc` or `desc`. Default: `desc` when sort is `created` or sort is not specified, otherwise `asc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Filter pulls by head user or head organization and branch name in the format of `user:ref-name` or `organization:ref-name`. For example: `github:new-script-format` or `octocat:test-branch`.
-     */
-    head?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * What to sort results by. Can be either `created`, `updated`, `popularity` (comment count) or `long-running` (age, filtering by pulls updated in the last month).
-     */
-    sort?: "created" | "updated" | "popularity" | "long-running";
-    /**
-     * Either `open`, `closed`, or `all` to filter by state.
-     */
-    state?: "open" | "closed" | "all";
-  };
-  export type PullsListCommentsParamsDeprecatedNumber = {
-    /**
-     * Can be either `asc` or `desc`. Ignored without `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
-     */
-    since?: string;
-    /**
-     * Can be either `created` or `updated` comments.
-     */
-    sort?: "created" | "updated";
-  };
-  export type PullsListCommentsParams = {
-    /**
-     * Can be either `asc` or `desc`. Ignored without `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
-     */
-    since?: string;
-    /**
-     * Can be either `created` or `updated` comments.
-     */
-    sort?: "created" | "updated";
-  };
-  export type PullsListCommentsForRepoParams = {
-    /**
-     * Can be either `asc` or `desc`. Ignored without `sort` parameter.
-     */
-    direction?: "asc" | "desc";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
-     */
-    since?: string;
-    /**
-     * Can be either `created` or `updated` comments.
-     */
-    sort?: "created" | "updated";
-  };
-  export type PullsListCommitsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type PullsListCommitsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsListFilesParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type PullsListFilesParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsListReviewRequestsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type PullsListReviewRequestsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsListReviewsParamsDeprecatedNumber = {
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type PullsListReviewsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsMergeParamsDeprecatedNumber = {
-    /**
-     * Extra detail to append to automatic commit message.
-     */
-    commit_message?: string;
-    /**
-     * Title for the automatic commit message.
-     */
-    commit_title?: string;
-    /**
-     * Merge method to use. Possible values are `merge`, `squash` or `rebase`. Default is `merge`.
-     */
-    merge_method?: "merge" | "squash" | "rebase";
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * SHA that pull request head must match to allow merge.
-     */
-    sha?: string;
-  };
-  export type PullsMergeParams = {
-    /**
-     * Extra detail to append to automatic commit message.
-     */
-    commit_message?: string;
-    /**
-     * Title for the automatic commit message.
-     */
-    commit_title?: string;
-    /**
-     * Merge method to use. Possible values are `merge`, `squash` or `rebase`. Default is `merge`.
-     */
-    merge_method?: "merge" | "squash" | "rebase";
-
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * SHA that pull request head must match to allow merge.
-     */
-    sha?: string;
-  };
-  export type PullsSubmitReviewParamsDeprecatedNumber = {
-    /**
-     * The body text of the pull request review
-     */
-    body?: string;
-    /**
-     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. When you leave this blank, the API returns _HTTP 422 (Unrecognizable entity)_ and sets the review action state to `PENDING`, which means you will need to re-submit the pull request review using a review action.
-     */
-    event: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsSubmitReviewParams = {
-    /**
-     * The body text of the pull request review
-     */
-    body?: string;
-    /**
-     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. When you leave this blank, the API returns _HTTP 422 (Unrecognizable entity)_ and sets the review action state to `PENDING`, which means you will need to re-submit the pull request review using a review action.
-     */
-    event: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsUpdateParamsDeprecatedNumber = {
-    /**
-     * The name of the branch you want your changes pulled into. This should be an existing branch on the current repository. You cannot update the base branch on a pull request to point to another repository.
-     */
-    base?: string;
-    /**
-     * The contents of the pull request.
-     */
-    body?: string;
-    /**
-     * Indicates whether [maintainers can modify](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
-     */
-    maintainer_can_modify?: boolean;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * State of this Pull Request. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the pull request.
-     */
-    title?: string;
-  };
-  export type PullsUpdateParams = {
-    /**
-     * The name of the branch you want your changes pulled into. This should be an existing branch on the current repository. You cannot update the base branch on a pull request to point to another repository.
-     */
-    base?: string;
-    /**
-     * The contents of the pull request.
-     */
-    body?: string;
-    /**
-     * Indicates whether [maintainers can modify](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
-     */
-    maintainer_can_modify?: boolean;
-
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-    /**
-     * State of this Pull Request. Either `open` or `closed`.
-     */
-    state?: "open" | "closed";
-    /**
-     * The title of the pull request.
-     */
-    title?: string;
-  };
-  export type PullsUpdateBranchParams = {
-    /**
-     * The expected SHA of the pull request's HEAD ref. This is the most recent commit on the pull request's branch. If the expected SHA does not match the pull request's HEAD, you will receive a `422 Unprocessable Entity` status. You can use the "[List commits on a repository](https://developer.github.com/v3/repos/commits/#list-commits-on-a-repository)" endpoint to find the most recent commit SHA. Default: SHA of the pull request's current HEAD ref.
-     */
-    expected_head_sha?: string;
-
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-  };
-  export type PullsUpdateCommentParams = {
-    /**
-     * The text of the reply to the review comment.
-     */
-    body: string;
-
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type PullsUpdateReviewParamsDeprecatedNumber = {
-    /**
-     * The body text of the pull request review.
-     */
-    body: string;
-    /**
-     * @deprecated "number" parameter renamed to "pull_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type PullsUpdateReviewParams = {
-    /**
-     * The body text of the pull request review.
-     */
-    body: string;
-
-    owner: string;
-
-    pull_number: number;
-
-    repo: string;
-
-    review_id: number;
-  };
-  export type ReactionsCreateForCommitCommentParams = {
-    comment_id: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the commit comment.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReactionsCreateForIssueParamsDeprecatedNumber = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReactionsCreateForIssueParams = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    issue_number: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReactionsCreateForIssueCommentParams = {
-    comment_id: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue comment.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReactionsCreateForPullRequestReviewCommentParams = {
-    comment_id: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the pull request review comment.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReactionsCreateForTeamDiscussionParams = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type ReactionsCreateForTeamDiscussionCommentParams = {
-    comment_number: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type ReactionsCreateForTeamDiscussionCommentInOrgParams = {
-    comment_number: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-  };
-  export type ReactionsCreateForTeamDiscussionCommentLegacyParams = {
-    comment_number: number;
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type ReactionsCreateForTeamDiscussionInOrgParams = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-  };
-  export type ReactionsCreateForTeamDiscussionLegacyParams = {
-    /**
-     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-     */
-    content:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type ReactionsDeleteParams = {
-    reaction_id: number;
-  };
-  export type ReactionsListForCommitCommentParams = {
-    comment_id: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a commit comment.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReactionsListForIssueParamsDeprecatedNumber = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-    /**
-     * @deprecated "number" parameter renamed to "issue_number"
-     */
-    number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReactionsListForIssueParams = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    issue_number: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReactionsListForIssueCommentParams = {
-    comment_id: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue comment.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReactionsListForPullRequestReviewCommentParams = {
-    comment_id: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a pull request review comment.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReactionsListForTeamDiscussionParams = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type ReactionsListForTeamDiscussionCommentParams = {
-    comment_number: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type ReactionsListForTeamDiscussionCommentInOrgParams = {
-    comment_number: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_slug: string;
-  };
-  export type ReactionsListForTeamDiscussionCommentLegacyParams = {
-    comment_number: number;
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type ReactionsListForTeamDiscussionInOrgParams = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_slug: string;
-  };
-  export type ReactionsListForTeamDiscussionLegacyParams = {
-    /**
-     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-     */
-    content?:
-      | "+1"
-      | "-1"
-      | "laugh"
-      | "confused"
-      | "heart"
-      | "hooray"
-      | "rocket"
-      | "eyes";
-
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type ReposAcceptInvitationParams = {
-    invitation_id: number;
-  };
-  export type ReposAddCollaboratorParams = {
-    owner: string;
-    /**
-     * The permission to grant the collaborator. **Only valid on organization-owned repositories.** Can be one of:
-     * \* `pull` - can pull, but not push to or administer this repository.
-     * \* `push` - can pull and push, but not administer this repository.
-     * \* `admin` - can pull, push and administer this repository.
-     */
-    permission?: "pull" | "push" | "admin";
-
-    repo: string;
-
-    username: string;
-  };
-  export type ReposAddDeployKeyParams = {
-    /**
-     * The contents of the key.
-     */
-    key: string;
-
-    owner: string;
-    /**
-     * If `true`, the key will only be able to read repository contents. Otherwise, the key will be able to read and write.
-     *
-     * Deploy keys with write access can perform the same actions as an organization member with admin access, or a collaborator on a personal repository. For more information, see "[Repository permission levels for an organization](https://help.github.com/articles/repository-permission-levels-for-an-organization/)" and "[Permission levels for a user account repository](https://help.github.com/articles/permission-levels-for-a-user-account-repository/)."
-     */
-    read_only?: boolean;
-
-    repo: string;
-    /**
-     * A name for the key.
-     */
-    title?: string;
-  };
-  export type ReposAddProtectedBranchAdminEnforcementParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposAddProtectedBranchAppRestrictionsParams = {
-    apps: string[];
-
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposAddProtectedBranchRequiredSignaturesParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposAddProtectedBranchRequiredStatusChecksContextsParams = {
-    branch: string;
-
-    contexts: string[];
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposAddProtectedBranchTeamRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-
-    teams: string[];
-  };
-  export type ReposAddProtectedBranchUserRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-
-    users: string[];
-  };
-  export type ReposCheckCollaboratorParams = {
-    owner: string;
-
-    repo: string;
-
-    username: string;
-  };
-  export type ReposCheckVulnerabilityAlertsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposCompareCommitsParams = {
-    base: string;
-
-    head: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposCreateCommitCommentParamsDeprecatedSha = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-
-    owner: string;
-    /**
-     * Relative path of the file to comment on.
-     */
-    path?: string;
-    /**
-     * Line index in the diff to comment on.
-     */
-    position?: number;
-
-    repo: string;
-    /**
-     * @deprecated "sha" parameter renamed to "commit_sha"
-     */
-    sha: string;
-  };
-  export type ReposCreateCommitCommentParamsDeprecatedLine = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-
-    commit_sha: string;
-    /**
-     * **Deprecated**. Use **position** parameter instead. Line number in the file to comment on.
-     * @deprecated "line" parameter has been deprecated and will be removed in future
-     */
-    line?: number;
-
-    owner: string;
-    /**
-     * Relative path of the file to comment on.
-     */
-    path?: string;
-    /**
-     * Line index in the diff to comment on.
-     */
-    position?: number;
-
-    repo: string;
-  };
-  export type ReposCreateCommitCommentParams = {
-    /**
-     * The contents of the comment.
-     */
-    body: string;
-
-    commit_sha: string;
-
-    owner: string;
-    /**
-     * Relative path of the file to comment on.
-     */
-    path?: string;
-    /**
-     * Line index in the diff to comment on.
-     */
-    position?: number;
-
-    repo: string;
-  };
-  export type ReposCreateDeploymentParams = {
-    /**
-     * Attempts to automatically merge the default branch into the requested ref, if it's behind the default branch.
-     */
-    auto_merge?: boolean;
-    /**
-     * Short description of the deployment.
-     */
-    description?: string;
-    /**
-     * Name for the target deployment environment (e.g., `production`, `staging`, `qa`).
-     */
-    environment?: string;
-
-    owner: string;
-    /**
-     * JSON payload with extra information about the deployment.
-     */
-    payload?: string;
-    /**
-     * Specifies if the given environment is one that end-users directly interact with. Default: `true` when `environment` is `production` and `false` otherwise.
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    production_environment?: boolean;
-    /**
-     * The ref to deploy. This can be a branch, tag, or SHA.
-     */
-    ref: string;
-
-    repo: string;
-    /**
-     * The [status](https://developer.github.com/v3/repos/statuses/) contexts to verify against commit status checks. If you omit this parameter, GitHub verifies all unique contexts before creating a deployment. To bypass checking entirely, pass an empty array. Defaults to all unique contexts.
-     */
-    required_contexts?: string[];
-    /**
-     * Specifies a task to execute (e.g., `deploy` or `deploy:migrations`).
-     */
-    task?: string;
-    /**
-     * Specifies if the given environment is specific to the deployment and will no longer exist at some point in the future. Default: `false`
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    transient_environment?: boolean;
-  };
-  export type ReposCreateDeploymentStatusParams = {
-    /**
-     * Adds a new `inactive` status to all prior non-transient, non-production environment deployments with the same repository and `environment` name as the created status's deployment. An `inactive` status is only added to deployments that had a `success` state. Default: `true`
-     * **Note:** To add an `inactive` status to `production` environments, you must use the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    auto_inactive?: boolean;
-
-    deployment_id: number;
-    /**
-     * A short description of the status. The maximum description length is 140 characters.
-     */
-    description?: string;
-    /**
-     * Name for the target deployment environment, which can be changed when setting a deploy status. For example, `production`, `staging`, or `qa`. **Note:** This parameter requires you to use the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-     */
-    environment?: "production" | "staging" | "qa";
-    /**
-     * Sets the URL for accessing your environment. Default: `""`
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    environment_url?: string;
-    /**
-     * The full URL of the deployment's output. This parameter replaces `target_url`. We will continue to accept `target_url` to support legacy uses, but we recommend replacing `target_url` with `log_url`. Setting `log_url` will automatically set `target_url` to the same value. Default: `""`
-     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-     */
-    log_url?: string;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * The state of the status. Can be one of `error`, `failure`, `inactive`, `in_progress`, `queued` `pending`, or `success`. **Note:** To use the `inactive` state, you must provide the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. To use the `in_progress` and `queued` states, you must provide the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-     */
-    state:
-      | "error"
-      | "failure"
-      | "inactive"
-      | "in_progress"
-      | "queued"
-      | "pending"
-      | "success";
-    /**
-     * The target URL to associate with this status. This URL should contain output to keep the user updated while the task is running or serve as historical information for what happened in the deployment. **Note:** It's recommended to use the `log_url` parameter, which replaces `target_url`.
-     */
-    target_url?: string;
-  };
-  export type ReposCreateDispatchEventParams = {
-    /**
-     * JSON payload with extra information about the webhook event that your action or worklow may use.
-     */
-    client_payload?: ReposCreateDispatchEventParamsClientPayload;
-    /**
-     * **Required:** A custom webhook event name.
-     */
-    event_type?: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposCreateFileParams = {
-    /**
-     * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-     */
-    author?: ReposCreateFileParamsAuthor;
-    /**
-     * The branch name. Default: the repository’s default branch (usually `master`)
-     */
-    branch?: string;
-    /**
-     * The person that committed the file. Default: the authenticated user.
-     */
-    committer?: ReposCreateFileParamsCommitter;
-    /**
-     * The new file content, using Base64 encoding.
-     */
-    content: string;
-    /**
-     * The commit message.
-     */
-    message: string;
-
-    owner: string;
-
-    path: string;
-
-    repo: string;
-    /**
-     * **Required if you are updating a file**. The blob SHA of the file being replaced.
-     */
-    sha?: string;
-  };
-  export type ReposCreateForAuthenticatedUserParams = {
-    /**
-     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-     */
-    allow_merge_commit?: boolean;
-    /**
-     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-     */
-    allow_rebase_merge?: boolean;
-    /**
-     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-     */
-    allow_squash_merge?: boolean;
-    /**
-     * Pass `true` to create an initial commit with empty README.
-     */
-    auto_init?: boolean;
-    /**
-     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-     */
-    delete_branch_on_merge?: boolean;
-    /**
-     * A short description of the repository.
-     */
-    description?: string;
-    /**
-     * Desired language or platform [.gitignore template](https://github.com/github/gitignore) to apply. Use the name of the template without the extension. For example, "Haskell".
-     */
-    gitignore_template?: string;
-    /**
-     * Either `true` to enable issues for this repository or `false` to disable them.
-     */
-    has_issues?: boolean;
-    /**
-     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-     */
-    has_projects?: boolean;
-    /**
-     * Either `true` to enable the wiki for this repository or `false` to disable it.
-     */
-    has_wiki?: boolean;
-    /**
-     * A URL with more information about the repository.
-     */
-    homepage?: string;
-    /**
-     * Either `true` to make this repo available as a template repository or `false` to prevent it.
-     */
-    is_template?: boolean;
-    /**
-     * Choose an [open source license template](https://choosealicense.com/) that best suits your needs, and then use the [license keyword](https://help.github.com/articles/licensing-a-repository/#searching-github-by-license-type) as the `license_template` string. For example, "mit" or "mpl-2.0".
-     */
-    license_template?: string;
-    /**
-     * The name of the repository.
-     */
-    name: string;
-    /**
-     * Either `true` to create a private repository or `false` to create a public one. Creating private repositories requires a paid GitHub account.
-     */
-    private?: boolean;
-    /**
-     * The id of the team that will be granted access to this repository. This is only valid when creating a repository in an organization.
-     */
-    team_id?: number;
-    /**
-     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. For more information, see "[Creating an internal repository](https://help.github.com/github/creating-cloning-and-archiving-repositories/creating-an-internal-repository)" in the GitHub Help documentation.
-     * The `visibility` parameter overrides the `private` parameter when you use both parameters with the `nebula-preview` preview header.
-     */
-    visibility?: "public" | "private" | "visibility" | "internal";
-  };
-  export type ReposCreateForkParams = {
-    /**
-     * Optional parameter to specify the organization name if forking into an organization.
-     */
-    organization?: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposCreateHookParams = {
-    /**
-     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-     */
-    active?: boolean;
-    /**
-     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/repos/hooks/#create-hook-config-params).
-     */
-    config: ReposCreateHookParamsConfig;
-    /**
-     * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-     */
-    events?: string[];
-    /**
-     * Use `web` to create a webhook. Default: `web`. This parameter only accepts the value `web`.
-     */
-    name?: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposCreateInOrgParams = {
-    /**
-     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-     */
-    allow_merge_commit?: boolean;
-    /**
-     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-     */
-    allow_rebase_merge?: boolean;
-    /**
-     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-     */
-    allow_squash_merge?: boolean;
-    /**
-     * Pass `true` to create an initial commit with empty README.
-     */
-    auto_init?: boolean;
-    /**
-     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-     */
-    delete_branch_on_merge?: boolean;
-    /**
-     * A short description of the repository.
-     */
-    description?: string;
-    /**
-     * Desired language or platform [.gitignore template](https://github.com/github/gitignore) to apply. Use the name of the template without the extension. For example, "Haskell".
-     */
-    gitignore_template?: string;
-    /**
-     * Either `true` to enable issues for this repository or `false` to disable them.
-     */
-    has_issues?: boolean;
-    /**
-     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-     */
-    has_projects?: boolean;
-    /**
-     * Either `true` to enable the wiki for this repository or `false` to disable it.
-     */
-    has_wiki?: boolean;
-    /**
-     * A URL with more information about the repository.
-     */
-    homepage?: string;
-    /**
-     * Either `true` to make this repo available as a template repository or `false` to prevent it.
-     */
-    is_template?: boolean;
-    /**
-     * Choose an [open source license template](https://choosealicense.com/) that best suits your needs, and then use the [license keyword](https://help.github.com/articles/licensing-a-repository/#searching-github-by-license-type) as the `license_template` string. For example, "mit" or "mpl-2.0".
-     */
-    license_template?: string;
-    /**
-     * The name of the repository.
-     */
-    name: string;
-
-    org: string;
-    /**
-     * Either `true` to create a private repository or `false` to create a public one. Creating private repositories requires a paid GitHub account.
-     */
-    private?: boolean;
-    /**
-     * The id of the team that will be granted access to this repository. This is only valid when creating a repository in an organization.
-     */
-    team_id?: number;
-    /**
-     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. For more information, see "[Creating an internal repository](https://help.github.com/github/creating-cloning-and-archiving-repositories/creating-an-internal-repository)" in the GitHub Help documentation.
-     * The `visibility` parameter overrides the `private` parameter when you use both parameters with the `nebula-preview` preview header.
-     */
-    visibility?: "public" | "private" | "visibility" | "internal";
-  };
-  export type ReposCreateOrUpdateFileParams = {
-    /**
-     * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-     */
-    author?: ReposCreateOrUpdateFileParamsAuthor;
-    /**
-     * The branch name. Default: the repository’s default branch (usually `master`)
-     */
-    branch?: string;
-    /**
-     * The person that committed the file. Default: the authenticated user.
-     */
-    committer?: ReposCreateOrUpdateFileParamsCommitter;
-    /**
-     * The new file content, using Base64 encoding.
-     */
-    content: string;
-    /**
-     * The commit message.
-     */
-    message: string;
-
-    owner: string;
-
-    path: string;
-
-    repo: string;
-    /**
-     * **Required if you are updating a file**. The blob SHA of the file being replaced.
-     */
-    sha?: string;
-  };
-  export type ReposCreateReleaseParams = {
-    /**
-     * Text describing the contents of the tag.
-     */
-    body?: string;
-    /**
-     * `true` to create a draft (unpublished) release, `false` to create a published one.
-     */
-    draft?: boolean;
-    /**
-     * The name of the release.
-     */
-    name?: string;
-
-    owner: string;
-    /**
-     * `true` to identify the release as a prerelease. `false` to identify the release as a full release.
-     */
-    prerelease?: boolean;
-
-    repo: string;
-    /**
-     * The name of the tag.
-     */
-    tag_name: string;
-    /**
-     * Specifies the commitish value that determines where the Git tag is created from. Can be any branch or commit SHA. Unused if the Git tag already exists. Default: the repository's default branch (usually `master`).
-     */
-    target_commitish?: string;
-  };
-  export type ReposCreateStatusParams = {
-    /**
-     * A string label to differentiate this status from the status of other systems.
-     */
-    context?: string;
-    /**
-     * A short description of the status.
-     */
-    description?: string;
-
-    owner: string;
-
-    repo: string;
-
-    sha: string;
-    /**
-     * The state of the status. Can be one of `error`, `failure`, `pending`, or `success`.
-     */
-    state: "error" | "failure" | "pending" | "success";
-    /**
-     * The target URL to associate with this status. This URL will be linked from the GitHub UI to allow users to easily see the source of the status.
-     * For example, if your continuous integration system is posting build status, you would want to provide the deep link for the build output for this specific SHA:
-     * `http://ci.example.com/user/repo/build/sha`
-     */
-    target_url?: string;
-  };
-  export type ReposCreateUsingTemplateParams = {
-    /**
-     * A short description of the new repository.
-     */
-    description?: string;
-    /**
-     * The name of the new repository.
-     */
-    name: string;
-    /**
-     * The organization or person who will own the new repository. To create a new repository in an organization, the authenticated user must be a member of the specified organization.
-     */
-    owner?: string;
-    /**
-     * Either `true` to create a new private repository or `false` to create a new public one.
-     */
-    private?: boolean;
-
-    template_owner: string;
-
-    template_repo: string;
-  };
-  export type ReposDeclineInvitationParams = {
-    invitation_id: number;
-  };
-  export type ReposDeleteParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposDeleteCommitCommentParams = {
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposDeleteDownloadParams = {
-    download_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposDeleteFileParams = {
-    /**
-     * object containing information about the author.
-     */
-    author?: ReposDeleteFileParamsAuthor;
-    /**
-     * The branch name. Default: the repository’s default branch (usually `master`)
-     */
-    branch?: string;
-    /**
-     * object containing information about the committer.
-     */
-    committer?: ReposDeleteFileParamsCommitter;
-    /**
-     * The commit message.
-     */
-    message: string;
-
-    owner: string;
-
-    path: string;
-
-    repo: string;
-    /**
-     * The blob SHA of the file being replaced.
-     */
-    sha: string;
-  };
-  export type ReposDeleteHookParams = {
-    hook_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposDeleteInvitationParams = {
-    invitation_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposDeleteReleaseParams = {
-    owner: string;
-
-    release_id: number;
-
-    repo: string;
-  };
-  export type ReposDeleteReleaseAssetParams = {
-    asset_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposDisableAutomatedSecurityFixesParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposDisablePagesSiteParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposDisableVulnerabilityAlertsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposEnableAutomatedSecurityFixesParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposEnablePagesSiteParams = {
-    owner: string;
-
-    repo: string;
-
-    source?: ReposEnablePagesSiteParamsSource;
-  };
-  export type ReposEnableVulnerabilityAlertsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetAppsWithAccessToProtectedBranchParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetArchiveLinkParams = {
-    archive_format: string;
-
-    owner: string;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type ReposGetBranchParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetBranchProtectionParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetClonesParams = {
-    owner: string;
-    /**
-     * Must be one of: `day`, `week`.
-     */
-    per?: "day" | "week";
-
-    repo: string;
-  };
-  export type ReposGetCodeFrequencyStatsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetCollaboratorPermissionLevelParams = {
-    owner: string;
-
-    repo: string;
-
-    username: string;
-  };
-  export type ReposGetCombinedStatusForRefParams = {
-    owner: string;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type ReposGetCommitParamsDeprecatedSha = {
-    owner: string;
-
-    repo: string;
-    /**
-     * @deprecated "sha" parameter renamed to "ref"
-     */
-    sha: string;
-  };
-  export type ReposGetCommitParamsDeprecatedCommitSha = {
-    /**
-     * @deprecated "commit_sha" parameter renamed to "ref"
-     */
-    commit_sha: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetCommitParams = {
-    owner: string;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type ReposGetCommitActivityStatsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetCommitCommentParams = {
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetCommitRefShaParams = {
-    owner: string;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type ReposGetContentsParams = {
-    owner: string;
-
-    path: string;
-    /**
-     * The name of the commit/branch/tag. Default: the repository’s default branch (usually `master`)
-     */
-    ref?: string;
-
-    repo: string;
-  };
-  export type ReposGetContributorsStatsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetDeployKeyParams = {
-    key_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetDeploymentParams = {
-    deployment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetDeploymentStatusParams = {
-    deployment_id: number;
-
-    owner: string;
-
-    repo: string;
-
-    status_id: number;
-  };
-  export type ReposGetDownloadParams = {
-    download_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetHookParams = {
-    hook_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetLatestPagesBuildParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetLatestReleaseParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetPagesParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetPagesBuildParams = {
-    build_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetParticipationStatsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetProtectedBranchAdminEnforcementParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetProtectedBranchPullRequestReviewEnforcementParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetProtectedBranchRequiredSignaturesParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetProtectedBranchRequiredStatusChecksParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetProtectedBranchRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetPunchCardStatsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetReadmeParams = {
-    owner: string;
-    /**
-     * The name of the commit/branch/tag. Default: the repository’s default branch (usually `master`)
-     */
-    ref?: string;
-
-    repo: string;
-  };
-  export type ReposGetReleaseParams = {
-    owner: string;
-
-    release_id: number;
-
-    repo: string;
-  };
-  export type ReposGetReleaseAssetParams = {
-    asset_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetReleaseByTagParams = {
-    owner: string;
-
-    repo: string;
-
-    tag: string;
-  };
-  export type ReposGetTeamsWithAccessToProtectedBranchParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetTopPathsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetTopReferrersParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetUsersWithAccessToProtectedBranchParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposGetViewsParams = {
-    owner: string;
-    /**
-     * Must be one of: `day`, `week`.
-     */
-    per?: "day" | "week";
-
-    repo: string;
-  };
-  export type ReposListParams = {
-    /**
-     * Comma-separated list of values. Can include:
-     * \* `owner`: Repositories that are owned by the authenticated user.
-     * \* `collaborator`: Repositories that the user has been added to as a collaborator.
-     * \* `organization_member`: Repositories that the user has access to through being a member of an organization. This includes every repository on every team that the user is on.
-     */
-    affiliation?: string;
-    /**
-     * Can be one of `asc` or `desc`. Default: `asc` when using `full_name`, otherwise `desc`
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Can be one of `created`, `updated`, `pushed`, `full_name`.
-     */
-    sort?: "created" | "updated" | "pushed" | "full_name";
-    /**
-     * Can be one of `all`, `owner`, `public`, `private`, `member`. Default: `all`
-     *
-     * Will cause a `422` error if used in the same request as **visibility** or **affiliation**. Will cause a `422` error if used in the same request as **visibility** or **affiliation**.
-     */
-    type?: "all" | "owner" | "public" | "private" | "member";
-    /**
-     * Can be one of `all`, `public`, or `private`.
-     */
-    visibility?: "all" | "public" | "private";
-  };
-  export type ReposListAppsWithAccessToProtectedBranchParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposListAssetsForReleaseParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    release_id: number;
-
-    repo: string;
-  };
-  export type ReposListBranchesParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Setting to `true` returns only protected branches. When set to `false`, only unprotected branches are returned. Omitting this parameter returns all branches.
-     */
-    protected?: boolean;
-
-    repo: string;
-  };
-  export type ReposListBranchesForHeadCommitParams = {
-    commit_sha: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposListCollaboratorsParams = {
-    /**
-     * Filter collaborators returned by their affiliation. Can be one of:
-     * \* `outside`: All outside collaborators of an organization-owned repository.
-     * \* `direct`: All collaborators with permissions to an organization-owned repository, regardless of organization membership status.
-     * \* `all`: All collaborators the authenticated user can see.
-     */
-    affiliation?: "outside" | "direct" | "all";
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListCommentsForCommitParamsDeprecatedRef = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * @deprecated "ref" parameter renamed to "commit_sha"
-     */
-    ref: string;
-
-    repo: string;
-  };
-  export type ReposListCommentsForCommitParams = {
-    commit_sha: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListCommitCommentsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListCommitsParams = {
-    /**
-     * GitHub login or email address by which to filter by commit author.
-     */
-    author?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Only commits containing this file path will be returned.
-     */
-    path?: string;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * SHA or branch to start listing commits from. Default: the repository’s default branch (usually `master`).
-     */
-    sha?: string;
-    /**
-     * Only commits after this date will be returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    since?: string;
-    /**
-     * Only commits before this date will be returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-     */
-    until?: string;
-  };
-  export type ReposListContributorsParams = {
-    /**
-     * Set to `1` or `true` to include anonymous contributors in results.
-     */
-    anon?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListDeployKeysParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListDeploymentStatusesParams = {
-    deployment_id: number;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListDeploymentsParams = {
-    /**
-     * The name of the environment that was deployed to (e.g., `staging` or `production`).
-     */
-    environment?: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The name of the ref. This can be a branch, tag, or SHA.
-     */
-    ref?: string;
-
-    repo: string;
-    /**
-     * The SHA recorded at creation time.
-     */
-    sha?: string;
-    /**
-     * The name of the task for the deployment (e.g., `deploy` or `deploy:migrations`).
-     */
-    task?: string;
-  };
-  export type ReposListDownloadsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListForOrgParams = {
-    /**
-     * Can be one of `asc` or `desc`. Default: when using `full_name`: `asc`, otherwise `desc`
-     */
-    direction?: "asc" | "desc";
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Can be one of `created`, `updated`, `pushed`, `full_name`.
-     */
-    sort?: "created" | "updated" | "pushed" | "full_name";
-    /**
-     * Specifies the types of repositories you want returned. Can be one of `all`, `public`, `private`, `forks`, `sources`, `member`, `internal`. Default: `all`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `type` can also be `internal`.
-     */
-    type?:
-      | "all"
-      | "public"
-      | "private"
-      | "forks"
-      | "sources"
-      | "member"
-      | "internal";
-  };
-  export type ReposListForUserParams = {
-    /**
-     * Can be one of `asc` or `desc`. Default: `asc` when using `full_name`, otherwise `desc`
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Can be one of `created`, `updated`, `pushed`, `full_name`.
-     */
-    sort?: "created" | "updated" | "pushed" | "full_name";
-    /**
-     * Can be one of `all`, `owner`, `member`.
-     */
-    type?: "all" | "owner" | "member";
-
-    username: string;
-  };
-  export type ReposListForksParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-    /**
-     * The sort order. Can be either `newest`, `oldest`, or `stargazers`.
-     */
-    sort?: "newest" | "oldest" | "stargazers";
-  };
-  export type ReposListHooksParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListInvitationsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListInvitationsForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type ReposListLanguagesParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposListPagesBuildsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListProtectedBranchRequiredStatusChecksContextsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposListProtectedBranchTeamRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposListProtectedBranchUserRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposListPublicParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The integer ID of the last repository that you've seen.
-     */
-    since?: number;
-  };
-  export type ReposListPullRequestsAssociatedWithCommitParams = {
-    commit_sha: string;
-
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListReleasesParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListStatusesForRefParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    ref: string;
-
-    repo: string;
-  };
-  export type ReposListTagsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListTeamsParams = {
-    owner: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    repo: string;
-  };
-  export type ReposListTeamsWithAccessToProtectedBranchParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposListTopicsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposListUsersWithAccessToProtectedBranchParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposMergeParams = {
-    /**
-     * The name of the base branch that the head will be merged into.
-     */
-    base: string;
-    /**
-     * Commit message to use for the merge commit. If omitted, a default message will be used.
-     */
-    commit_message?: string;
-    /**
-     * The head to merge. This can be a branch name or a commit SHA1.
-     */
-    head: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposPingHookParams = {
-    hook_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveBranchProtectionParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveCollaboratorParams = {
-    owner: string;
-
-    repo: string;
-
-    username: string;
-  };
-  export type ReposRemoveDeployKeyParams = {
-    key_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveProtectedBranchAdminEnforcementParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveProtectedBranchAppRestrictionsParams = {
-    apps: string[];
-
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveProtectedBranchPullRequestReviewEnforcementParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveProtectedBranchRequiredSignaturesParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveProtectedBranchRequiredStatusChecksParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveProtectedBranchRequiredStatusChecksContextsParams = {
-    branch: string;
-
-    contexts: string[];
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveProtectedBranchRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRemoveProtectedBranchTeamRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-
-    teams: string[];
-  };
-  export type ReposRemoveProtectedBranchUserRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-
-    users: string[];
-  };
-  export type ReposReplaceProtectedBranchAppRestrictionsParams = {
-    apps: string[];
-
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposReplaceProtectedBranchRequiredStatusChecksContextsParams = {
-    branch: string;
-
-    contexts: string[];
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposReplaceProtectedBranchTeamRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-
-    teams: string[];
-  };
-  export type ReposReplaceProtectedBranchUserRestrictionsParams = {
-    branch: string;
-
-    owner: string;
-
-    repo: string;
-
-    users: string[];
-  };
-  export type ReposReplaceTopicsParams = {
-    /**
-     * An array of topics to add to the repository. Pass one or more topics to _replace_ the set of existing topics. Send an empty array (`[]`) to clear all topics from the repository. **Note:** Topic `names` cannot contain uppercase letters.
-     */
-    names: string[];
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRequestPageBuildParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposRetrieveCommunityProfileMetricsParams = {
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposTestPushHookParams = {
-    hook_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposTransferParams = {
-    /**
-     * **Required:** The username or organization name the repository will be transferred to.
-     */
-    new_owner?: string;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * ID of the team or teams to add to the repository. Teams can only be added to organization-owned repositories.
-     */
-    team_ids?: number[];
-  };
-  export type ReposUpdateParams = {
-    /**
-     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-     */
-    allow_merge_commit?: boolean;
-    /**
-     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-     */
-    allow_rebase_merge?: boolean;
-    /**
-     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-     */
-    allow_squash_merge?: boolean;
-    /**
-     * `true` to archive this repository. **Note**: You cannot unarchive repositories through the API.
-     */
-    archived?: boolean;
-    /**
-     * Updates the default branch for this repository.
-     */
-    default_branch?: string;
-    /**
-     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-     */
-    delete_branch_on_merge?: boolean;
-    /**
-     * A short description of the repository.
-     */
-    description?: string;
-    /**
-     * Either `true` to enable issues for this repository or `false` to disable them.
-     */
-    has_issues?: boolean;
-    /**
-     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-     */
-    has_projects?: boolean;
-    /**
-     * Either `true` to enable the wiki for this repository or `false` to disable it.
-     */
-    has_wiki?: boolean;
-    /**
-     * A URL with more information about the repository.
-     */
-    homepage?: string;
-    /**
-     * Either `true` to make this repo available as a template repository or `false` to prevent it.
-     */
-    is_template?: boolean;
-    /**
-     * The name of the repository.
-     */
-    name?: string;
-
-    owner: string;
-    /**
-     * Either `true` to make the repository private or `false` to make it public. Creating private repositories requires a paid GitHub account. Default: `false`.
-     * **Note**: You will get a `422` error if the organization restricts [changing repository visibility](https://help.github.com/articles/repository-permission-levels-for-an-organization#changing-the-visibility-of-repositories) to organization owners and a non-owner tries to change the value of private. **Note**: You will get a `422` error if the organization restricts [changing repository visibility](https://help.github.com/articles/repository-permission-levels-for-an-organization#changing-the-visibility-of-repositories) to organization owners and a non-owner tries to change the value of private.
-     */
-    private?: boolean;
-
-    repo: string;
-    /**
-     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. The `visibility` parameter overrides the `private` parameter when you use both along with the `nebula-preview` preview header.
-     */
-    visibility?: "public" | "private" | "visibility" | "internal";
-  };
-  export type ReposUpdateBranchProtectionParams = {
-    /**
-     * Allows deletion of the protected branch by anyone with write access to the repository. Set to `false` to prevent deletion of the protected branch. Default: `false`. For more information, see "[Enabling force pushes to a protected branch](https://help.github.com/en/github/administering-a-repository/enabling-force-pushes-to-a-protected-branch)" in the GitHub Help documentation.
-     */
-    allow_deletions?: boolean;
-    /**
-     * Permits force pushes to the protected branch by anyone with write access to the repository. Set to `true` to allow force pushes. Set to `false` or `null` to block force pushes. Default: `false`. For more information, see "[Enabling force pushes to a protected branch](https://help.github.com/en/github/administering-a-repository/enabling-force-pushes-to-a-protected-branch)" in the GitHub Help documentation."
-     */
-    allow_force_pushes?: boolean | null;
-
-    branch: string;
-    /**
-     * Enforce all configured restrictions for administrators. Set to `true` to enforce required status checks for repository administrators. Set to `null` to disable.
-     */
-    enforce_admins: boolean | null;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * Enforces a linear commit Git history, which prevents anyone from pushing merge commits to a branch. Set to `true` to enforce a linear commit history. Set to `false` to disable a linear commit Git history. Your repository must allow squash merging or rebase merging before you can enable a linear commit history. Default: `false`. For more information, see "[Requiring a linear commit history](https://help.github.com/github/administering-a-repository/requiring-a-linear-commit-history)" in the GitHub Help documentation.
-     */
-    required_linear_history?: boolean;
-    /**
-     * Require at least one approving review on a pull request, before merging. Set to `null` to disable.
-     */
-    required_pull_request_reviews: ReposUpdateBranchProtectionParamsRequiredPullRequestReviews | null;
-    /**
-     * Require status checks to pass before merging. Set to `null` to disable.
-     */
-    required_status_checks: ReposUpdateBranchProtectionParamsRequiredStatusChecks | null;
-    /**
-     * Restrict who can push to the protected branch. User, app, and team `restrictions` are only available for organization-owned repositories. Set to `null` to disable.
-     */
-    restrictions: ReposUpdateBranchProtectionParamsRestrictions | null;
-  };
-  export type ReposUpdateCommitCommentParams = {
-    /**
-     * The contents of the comment
-     */
-    body: string;
-
-    comment_id: number;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposUpdateFileParams = {
-    /**
-     * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-     */
-    author?: ReposUpdateFileParamsAuthor;
-    /**
-     * The branch name. Default: the repository’s default branch (usually `master`)
-     */
-    branch?: string;
-    /**
-     * The person that committed the file. Default: the authenticated user.
-     */
-    committer?: ReposUpdateFileParamsCommitter;
-    /**
-     * The new file content, using Base64 encoding.
-     */
-    content: string;
-    /**
-     * The commit message.
-     */
-    message: string;
-
-    owner: string;
-
-    path: string;
-
-    repo: string;
-    /**
-     * **Required if you are updating a file**. The blob SHA of the file being replaced.
-     */
-    sha?: string;
-  };
-  export type ReposUpdateHookParams = {
-    /**
-     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-     */
-    active?: boolean;
-    /**
-     * Determines a list of events to be added to the list of events that the Hook triggers for.
-     */
-    add_events?: string[];
-    /**
-     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/repos/hooks/#create-hook-config-params).
-     */
-    config?: ReposUpdateHookParamsConfig;
-    /**
-     * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for. This replaces the entire array of events.
-     */
-    events?: string[];
-
-    hook_id: number;
-
-    owner: string;
-    /**
-     * Determines a list of events to be removed from the list of events that the Hook triggers for.
-     */
-    remove_events?: string[];
-
-    repo: string;
-  };
-  export type ReposUpdateInformationAboutPagesSiteParams = {
-    /**
-     * Specify a custom domain for the repository. Sending a `null` value will remove the custom domain. For more about custom domains, see "[Using a custom domain with GitHub Pages](https://help.github.com/articles/using-a-custom-domain-with-github-pages/)."
-     */
-    cname?: string;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * Update the source for the repository. Must include the branch name, and may optionally specify the subdirectory `/docs`. Possible values are `"gh-pages"`, `"master"`, and `"master /docs"`.
-     */
-    source?: '"gh-pages"' | '"master"' | '"master /docs"';
-  };
-  export type ReposUpdateInvitationParams = {
-    invitation_id: number;
-
-    owner: string;
-    /**
-     * The permissions that the associated user will have on the repository. Valid values are `read`, `write`, and `admin`.
-     */
-    permissions?: "read" | "write" | "admin";
-
-    repo: string;
-  };
-  export type ReposUpdateProtectedBranchPullRequestReviewEnforcementParams = {
-    branch: string;
-    /**
-     * Set to `true` if you want to automatically dismiss approving reviews when someone pushes a new commit.
-     */
-    dismiss_stale_reviews?: boolean;
-    /**
-     * Specify which users and teams can dismiss pull request reviews. Pass an empty `dismissal_restrictions` object to disable. User and team `dismissal_restrictions` are only available for organization-owned repositories. Omit this parameter for personal repositories.
-     */
-    dismissal_restrictions?: ReposUpdateProtectedBranchPullRequestReviewEnforcementParamsDismissalRestrictions;
-
-    owner: string;
-
-    repo: string;
-    /**
-     * Blocks merging pull requests until [code owners](https://help.github.com/articles/about-code-owners/) have reviewed.
-     */
-    require_code_owner_reviews?: boolean;
-    /**
-     * Specifies the number of reviewers required to approve pull requests. Use a number between 1 and 6.
-     */
-    required_approving_review_count?: number;
-  };
-  export type ReposUpdateProtectedBranchRequiredStatusChecksParams = {
-    branch: string;
-    /**
-     * The list of status checks to require in order to merge into this branch
-     */
-    contexts?: string[];
-
-    owner: string;
-
-    repo: string;
-    /**
-     * Require branches to be up to date before merging.
-     */
-    strict?: boolean;
-  };
-  export type ReposUpdateReleaseParams = {
-    /**
-     * Text describing the contents of the tag.
-     */
-    body?: string;
-    /**
-     * `true` makes the release a draft, and `false` publishes the release.
-     */
-    draft?: boolean;
-    /**
-     * The name of the release.
-     */
-    name?: string;
-
-    owner: string;
-    /**
-     * `true` to identify the release as a prerelease, `false` to identify the release as a full release.
-     */
-    prerelease?: boolean;
-
-    release_id: number;
-
-    repo: string;
-    /**
-     * The name of the tag.
-     */
-    tag_name?: string;
-    /**
-     * Specifies the commitish value that determines where the Git tag is created from. Can be any branch or commit SHA. Unused if the Git tag already exists. Default: the repository's default branch (usually `master`).
-     */
-    target_commitish?: string;
-  };
-  export type ReposUpdateReleaseAssetParams = {
-    asset_id: number;
-    /**
-     * An alternate short description of the asset. Used in place of the filename.
-     */
-    label?: string;
-    /**
-     * The file name of the asset.
-     */
-    name?: string;
-
-    owner: string;
-
-    repo: string;
-  };
-  export type ReposUploadReleaseAssetParamsDeprecatedFile = {
-    /**
-     * @deprecated "file" parameter renamed to "data"
-     */
-    file: string | object;
-
-    headers: ReposUploadReleaseAssetParamsHeaders;
-    /**
-     * An alternate short description of the asset. Used in place of the filename. This should be set in a URI query parameter.
-     */
-    label?: string;
-    /**
-     * The file name of the asset. This should be set in a URI query parameter.
-     */
-    name: string;
-    /**
-     * The `upload_url` key returned from creating or getting a release
-     */
-    url: string;
-  };
-  export type ReposUploadReleaseAssetParams = {
-    data: string | object;
-
-    headers: ReposUploadReleaseAssetParamsHeaders;
-    /**
-     * An alternate short description of the asset. Used in place of the filename. This should be set in a URI query parameter.
-     */
-    label?: string;
-    /**
-     * The file name of the asset. This should be set in a URI query parameter.
-     */
-    name: string;
-    /**
-     * The `upload_url` key returned from creating or getting a release
-     */
-    url: string;
-  };
-  export type SearchCodeParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching code](https://help.github.com/articles/searching-code/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query. Can only be `indexed`, which indicates how recently a file has been indexed by the GitHub search infrastructure. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "indexed";
-  };
-  export type SearchCommitsParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching commits](https://help.github.com/articles/searching-commits/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by `author-date` or `committer-date`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "author-date" | "committer-date";
-  };
-  export type SearchEmailLegacyParams = {
-    /**
-     * The email address.
-     */
-    email: string;
-  };
-  export type SearchIssuesParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching issues and pull requests](https://help.github.com/articles/searching-issues-and-pull-requests/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by the number of `comments`, `reactions`, `reactions-+1`, `reactions--1`, `reactions-smile`, `reactions-thinking_face`, `reactions-heart`, `reactions-tada`, or `interactions`. You can also sort results by how recently the items were `created` or `updated`, Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?:
-      | "comments"
-      | "reactions"
-      | "reactions-+1"
-      | "reactions--1"
-      | "reactions-smile"
-      | "reactions-thinking_face"
-      | "reactions-heart"
-      | "reactions-tada"
-      | "interactions"
-      | "created"
-      | "updated";
-  };
-  export type SearchIssuesAndPullRequestsParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching issues and pull requests](https://help.github.com/articles/searching-issues-and-pull-requests/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by the number of `comments`, `reactions`, `reactions-+1`, `reactions--1`, `reactions-smile`, `reactions-thinking_face`, `reactions-heart`, `reactions-tada`, or `interactions`. You can also sort results by how recently the items were `created` or `updated`, Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?:
-      | "comments"
-      | "reactions"
-      | "reactions-+1"
-      | "reactions--1"
-      | "reactions-smile"
-      | "reactions-thinking_face"
-      | "reactions-heart"
-      | "reactions-tada"
-      | "interactions"
-      | "created"
-      | "updated";
-  };
-  export type SearchIssuesLegacyParams = {
-    /**
-     * The search term.
-     */
-    keyword: string;
-
-    owner: string;
-
-    repository: string;
-    /**
-     * Indicates the state of the issues to return. Can be either `open` or `closed`.
-     */
-    state: "open" | "closed";
-  };
-  export type SearchLabelsParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * The search keywords. This endpoint does not accept qualifiers in the query. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query).
-     */
-    q: string;
-    /**
-     * The id of the repository.
-     */
-    repository_id: number;
-    /**
-     * Sorts the results of your query by when the label was `created` or `updated`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "created" | "updated";
-  };
-  export type SearchReposParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching for repositories](https://help.github.com/articles/searching-for-repositories/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by number of `stars`, `forks`, or `help-wanted-issues` or how recently the items were `updated`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "stars" | "forks" | "help-wanted-issues" | "updated";
-  };
-  export type SearchReposLegacyParams = {
-    /**
-     * The search term.
-     */
-    keyword: string;
-    /**
-     * Filter results by language.
-     */
-    language?: string;
-    /**
-     * The sort field. if `sort` param is provided. Can be either `asc` or `desc`.
-     */
-    order?: "asc" | "desc";
-    /**
-     * The sort field. One of `stars`, `forks`, or `updated`. Default: results are sorted by best match.
-     */
-    sort?: "stars" | "forks" | "updated";
-    /**
-     * The page number to fetch.
-     */
-    start_page?: string;
-  };
-  export type SearchTopicsParams = {
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query).
-     */
-    q: string;
-  };
-  export type SearchUsersParams = {
-    /**
-     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-     */
-    order?: "desc" | "asc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching users](https://help.github.com/articles/searching-users/)" for a detailed list of qualifiers.
-     */
-    q: string;
-    /**
-     * Sorts the results of your query by number of `followers` or `repositories`, or when the person `joined` GitHub. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-     */
-    sort?: "followers" | "repositories" | "joined";
-  };
-  export type SearchUsersLegacyParams = {
-    /**
-     * The search term.
-     */
-    keyword: string;
-    /**
-     * The sort field. if `sort` param is provided. Can be either `asc` or `desc`.
-     */
-    order?: "asc" | "desc";
-    /**
-     * The sort field. One of `stars`, `forks`, or `updated`. Default: results are sorted by best match.
-     */
-    sort?: "stars" | "forks" | "updated";
-    /**
-     * The page number to fetch.
-     */
-    start_page?: string;
-  };
-  export type TeamsAddMemberParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsAddMemberLegacyParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsAddOrUpdateMembershipParams = {
-    /**
-     * The role that this user should have in the team. Can be one of:
-     * \* `member` - a normal member of the team.
-     * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-     */
-    role?: "member" | "maintainer";
-
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsAddOrUpdateMembershipInOrgParams = {
-    org: string;
-    /**
-     * The role that this user should have in the team. Can be one of:
-     * \* `member` - a normal member of the team.
-     * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-     */
-    role?: "member" | "maintainer";
-
-    team_slug: string;
-
-    username: string;
-  };
-  export type TeamsAddOrUpdateMembershipLegacyParams = {
-    /**
-     * The role that this user should have in the team. Can be one of:
-     * \* `member` - a normal member of the team.
-     * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-     */
-    role?: "member" | "maintainer";
-
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsAddOrUpdateProjectParams = {
-    /**
-     * The permission to grant to the team for this project. Can be one of:
-     * \* `read` - team members can read, but not write to or administer this project.
-     * \* `write` - team members can read and write, but not administer this project.
-     * \* `admin` - team members can read, write and administer this project.
-     * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    permission?: "read" | "write" | "admin";
-
-    project_id: number;
-
-    team_id: number;
-  };
-  export type TeamsAddOrUpdateProjectInOrgParams = {
-    org: string;
-    /**
-     * The permission to grant to the team for this project. Can be one of:
-     * \* `read` - team members can read, but not write to or administer this project.
-     * \* `write` - team members can read and write, but not administer this project.
-     * \* `admin` - team members can read, write and administer this project.
-     * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    permission?: "read" | "write" | "admin";
-
-    project_id: number;
-
-    team_slug: string;
-  };
-  export type TeamsAddOrUpdateProjectLegacyParams = {
-    /**
-     * The permission to grant to the team for this project. Can be one of:
-     * \* `read` - team members can read, but not write to or administer this project.
-     * \* `write` - team members can read and write, but not administer this project.
-     * \* `admin` - team members can read, write and administer this project.
-     * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    permission?: "read" | "write" | "admin";
-
-    project_id: number;
-
-    team_id: number;
-  };
-  export type TeamsAddOrUpdateRepoParams = {
-    owner: string;
-    /**
-     * The permission to grant the team on this repository. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer this repository.
-     * \* `push` - team members can pull and push, but not administer this repository.
-     * \* `admin` - team members can pull, push and administer this repository.
-     *
-     * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-     */
-    permission?: "pull" | "push" | "admin";
-
-    repo: string;
-
-    team_id: number;
-  };
-  export type TeamsAddOrUpdateRepoInOrgParams = {
-    org: string;
-
-    owner: string;
-    /**
-     * The permission to grant the team on this repository. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer this repository.
-     * \* `push` - team members can pull and push, but not administer this repository.
-     * \* `admin` - team members can pull, push and administer this repository.
-     *
-     * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-     */
-    permission?: "pull" | "push" | "admin";
-
-    repo: string;
-
-    team_slug: string;
-  };
-  export type TeamsAddOrUpdateRepoLegacyParams = {
-    owner: string;
-    /**
-     * The permission to grant the team on this repository. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer this repository.
-     * \* `push` - team members can pull and push, but not administer this repository.
-     * \* `admin` - team members can pull, push and administer this repository.
-     *
-     * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-     */
-    permission?: "pull" | "push" | "admin";
-
-    repo: string;
-
-    team_id: number;
-  };
-  export type TeamsCheckManagesRepoParams = {
-    owner: string;
-
-    repo: string;
-
-    team_id: number;
-  };
-  export type TeamsCheckManagesRepoInOrgParams = {
-    org: string;
-
-    owner: string;
-
-    repo: string;
-
-    team_slug: string;
-  };
-  export type TeamsCheckManagesRepoLegacyParams = {
-    owner: string;
-
-    repo: string;
-
-    team_id: number;
-  };
-  export type TeamsCreateParamsDeprecatedPermission = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * List GitHub IDs for organization members who will become team maintainers.
-     */
-    maintainers?: string[];
-    /**
-     * The name of the team.
-     */
-    name: string;
-
-    org: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-     * \* `push` - team members can pull and push, but not administer newly-added repositories.
-     * \* `admin` - team members can pull, push and administer newly-added repositories.
-     * @deprecated "permission" parameter has been deprecated and will be removed in future
-     */
-    permission?: string;
-    /**
-     * The level of privacy this team should have. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * Default: `secret`
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     * Default for child team: `closed`
-     */
-    privacy?: "secret" | "closed";
-    /**
-     * The full name (e.g., "organization-name/repository-name") of repositories to add the team to.
-     */
-    repo_names?: string[];
-  };
-  export type TeamsCreateParams = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * List GitHub IDs for organization members who will become team maintainers.
-     */
-    maintainers?: string[];
-    /**
-     * The name of the team.
-     */
-    name: string;
-
-    org: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * The level of privacy this team should have. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * Default: `secret`
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     * Default for child team: `closed`
-     */
-    privacy?: "secret" | "closed";
-    /**
-     * The full name (e.g., "organization-name/repository-name") of repositories to add the team to.
-     */
-    repo_names?: string[];
-  };
-  export type TeamsCreateDiscussionParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body: string;
-    /**
-     * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-     */
-    private?: boolean;
-
-    team_id: number;
-    /**
-     * The discussion post's title.
-     */
-    title: string;
-  };
-  export type TeamsCreateDiscussionCommentParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsCreateDiscussionCommentInOrgParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-  };
-  export type TeamsCreateDiscussionCommentLegacyParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsCreateDiscussionInOrgParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body: string;
-
-    org: string;
-    /**
-     * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-     */
-    private?: boolean;
-
-    team_slug: string;
-    /**
-     * The discussion post's title.
-     */
-    title: string;
-  };
-  export type TeamsCreateDiscussionLegacyParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body: string;
-    /**
-     * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-     */
-    private?: boolean;
-
-    team_id: number;
-    /**
-     * The discussion post's title.
-     */
-    title: string;
-  };
-  export type TeamsDeleteParams = {
-    team_id: number;
-  };
-  export type TeamsDeleteDiscussionParams = {
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsDeleteDiscussionCommentParams = {
-    comment_number: number;
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsDeleteDiscussionCommentInOrgParams = {
-    comment_number: number;
-
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-  };
-  export type TeamsDeleteDiscussionCommentLegacyParams = {
-    comment_number: number;
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsDeleteDiscussionInOrgParams = {
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-  };
-  export type TeamsDeleteDiscussionLegacyParams = {
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsDeleteInOrgParams = {
-    org: string;
-
-    team_slug: string;
-  };
-  export type TeamsDeleteLegacyParams = {
-    team_id: number;
-  };
-  export type TeamsGetParams = {
-    team_id: number;
-  };
-  export type TeamsGetByNameParams = {
-    org: string;
-
-    team_slug: string;
-  };
-  export type TeamsGetDiscussionParams = {
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsGetDiscussionCommentParams = {
-    comment_number: number;
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsGetDiscussionCommentInOrgParams = {
-    comment_number: number;
-
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-  };
-  export type TeamsGetDiscussionCommentLegacyParams = {
-    comment_number: number;
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsGetDiscussionInOrgParams = {
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-  };
-  export type TeamsGetDiscussionLegacyParams = {
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsGetLegacyParams = {
-    team_id: number;
-  };
-  export type TeamsGetMemberParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsGetMemberLegacyParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsGetMembershipParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsGetMembershipInOrgParams = {
-    org: string;
-
-    team_slug: string;
-
-    username: string;
-  };
-  export type TeamsGetMembershipLegacyParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsListParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type TeamsListChildParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListChildInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_slug: string;
-  };
-  export type TeamsListChildLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListDiscussionCommentsParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListDiscussionCommentsInOrgParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-
-    discussion_number: number;
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_slug: string;
-  };
-  export type TeamsListDiscussionCommentsLegacyParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-
-    discussion_number: number;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListDiscussionsParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListDiscussionsInOrgParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_slug: string;
-  };
-  export type TeamsListDiscussionsLegacyParams = {
-    /**
-     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-     */
-    direction?: "asc" | "desc";
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type TeamsListMembersParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Filters members returned by their role in the team. Can be one of:
-     * \* `member` - normal members of the team.
-     * \* `maintainer` - team maintainers.
-     * \* `all` - all members of the team.
-     */
-    role?: "member" | "maintainer" | "all";
-
-    team_id: number;
-  };
-  export type TeamsListMembersInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Filters members returned by their role in the team. Can be one of:
-     * \* `member` - normal members of the team.
-     * \* `maintainer` - team maintainers.
-     * \* `all` - all members of the team.
-     */
-    role?: "member" | "maintainer" | "all";
-
-    team_slug: string;
-  };
-  export type TeamsListMembersLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * Filters members returned by their role in the team. Can be one of:
-     * \* `member` - normal members of the team.
-     * \* `maintainer` - team maintainers.
-     * \* `all` - all members of the team.
-     */
-    role?: "member" | "maintainer" | "all";
-
-    team_id: number;
-  };
-  export type TeamsListPendingInvitationsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListPendingInvitationsInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_slug: string;
-  };
-  export type TeamsListPendingInvitationsLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListProjectsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListProjectsInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_slug: string;
-  };
-  export type TeamsListProjectsLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListReposParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsListReposInOrgParams = {
-    org: string;
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_slug: string;
-  };
-  export type TeamsListReposLegacyParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    team_id: number;
-  };
-  export type TeamsRemoveMemberParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsRemoveMemberLegacyParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsRemoveMembershipParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsRemoveMembershipInOrgParams = {
-    org: string;
-
-    team_slug: string;
-
-    username: string;
-  };
-  export type TeamsRemoveMembershipLegacyParams = {
-    team_id: number;
-
-    username: string;
-  };
-  export type TeamsRemoveProjectParams = {
-    project_id: number;
-
-    team_id: number;
-  };
-  export type TeamsRemoveProjectInOrgParams = {
-    org: string;
-
-    project_id: number;
-
-    team_slug: string;
-  };
-  export type TeamsRemoveProjectLegacyParams = {
-    project_id: number;
-
-    team_id: number;
-  };
-  export type TeamsRemoveRepoParams = {
-    owner: string;
-
-    repo: string;
-
-    team_id: number;
-  };
-  export type TeamsRemoveRepoInOrgParams = {
-    org: string;
-
-    owner: string;
-
-    repo: string;
-
-    team_slug: string;
-  };
-  export type TeamsRemoveRepoLegacyParams = {
-    owner: string;
-
-    repo: string;
-
-    team_id: number;
-  };
-  export type TeamsReviewProjectParams = {
-    project_id: number;
-
-    team_id: number;
-  };
-  export type TeamsReviewProjectInOrgParams = {
-    org: string;
-
-    project_id: number;
-
-    team_slug: string;
-  };
-  export type TeamsReviewProjectLegacyParams = {
-    project_id: number;
-
-    team_id: number;
-  };
-  export type TeamsUpdateParamsDeprecatedPermission = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-     * \* `push` - team members can pull and push, but not administer newly-added repositories.
-     * \* `admin` - team members can pull, push and administer newly-added repositories.
-     * @deprecated "permission" parameter has been deprecated and will be removed in future
-     */
-    permission?: string;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-
-    team_id: number;
-  };
-  export type TeamsUpdateParams = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-
-    team_id: number;
-  };
-  export type TeamsUpdateDiscussionParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body?: string;
-
-    discussion_number: number;
-
-    team_id: number;
-    /**
-     * The discussion post's title.
-     */
-    title?: string;
-  };
-  export type TeamsUpdateDiscussionCommentParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-
-    comment_number: number;
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsUpdateDiscussionCommentInOrgParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-
-    comment_number: number;
-
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-  };
-  export type TeamsUpdateDiscussionCommentLegacyParams = {
-    /**
-     * The discussion comment's body text.
-     */
-    body: string;
-
-    comment_number: number;
-
-    discussion_number: number;
-
-    team_id: number;
-  };
-  export type TeamsUpdateDiscussionInOrgParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body?: string;
-
-    discussion_number: number;
-
-    org: string;
-
-    team_slug: string;
-    /**
-     * The discussion post's title.
-     */
-    title?: string;
-  };
-  export type TeamsUpdateDiscussionLegacyParams = {
-    /**
-     * The discussion post's body text.
-     */
-    body?: string;
-
-    discussion_number: number;
-
-    team_id: number;
-    /**
-     * The discussion post's title.
-     */
-    title?: string;
-  };
-  export type TeamsUpdateInOrgParamsDeprecatedPermission = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-
-    org: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-     * \* `push` - team members can pull and push, but not administer newly-added repositories.
-     * \* `admin` - team members can pull, push and administer newly-added repositories.
-     * @deprecated "permission" parameter has been deprecated and will be removed in future
-     */
-    permission?: string;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. When a team is nested, the `privacy` for parent teams cannot be `secret`. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-
-    team_slug: string;
-  };
-  export type TeamsUpdateInOrgParams = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-
-    org: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. When a team is nested, the `privacy` for parent teams cannot be `secret`. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-
-    team_slug: string;
-  };
-  export type TeamsUpdateLegacyParamsDeprecatedPermission = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-     * \* `push` - team members can pull and push, but not administer newly-added repositories.
-     * \* `admin` - team members can pull, push and administer newly-added repositories.
-     * @deprecated "permission" parameter has been deprecated and will be removed in future
-     */
-    permission?: string;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-
-    team_id: number;
-  };
-  export type TeamsUpdateLegacyParams = {
-    /**
-     * The description of the team.
-     */
-    description?: string;
-    /**
-     * The name of the team.
-     */
-    name: string;
-    /**
-     * The ID of a team to set as the parent team.
-     */
-    parent_team_id?: number;
-    /**
-     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-     * **For a non-nested team:**
-     * \* `secret` - only visible to organization owners and members of this team.
-     * \* `closed` - visible to all members of this organization.
-     * **For a parent or child team:**
-     * \* `closed` - visible to all members of this organization.
-     */
-    privacy?: "secret" | "closed";
-
-    team_id: number;
-  };
-  export type UsersAddEmailsParams = {
-    /**
-     * Adds one or more email addresses to your GitHub account. Must contain at least one email address. **Note:** Alternatively, you can pass a single email address or an `array` of emails addresses directly, but we recommend that you pass an object using the `emails` key.
-     */
-    emails: string[];
-  };
-  export type UsersBlockParams = {
-    username: string;
-  };
-  export type UsersCheckBlockedParams = {
-    username: string;
-  };
-  export type UsersCheckFollowingParams = {
-    username: string;
-  };
-  export type UsersCheckFollowingForUserParams = {
-    target_user: string;
-
-    username: string;
-  };
-  export type UsersCreateGpgKeyParams = {
-    /**
-     * Your GPG key, generated in ASCII-armored format. See "[Generating a new GPG key](https://help.github.com/articles/generating-a-new-gpg-key/)" for help creating a GPG key.
-     */
-    armored_public_key?: string;
-  };
-  export type UsersCreatePublicKeyParams = {
-    /**
-     * The public SSH key to add to your GitHub account. See "[Generating a new SSH key](https://help.github.com/articles/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent/)" for guidance on how to create a public SSH key.
-     */
-    key?: string;
-    /**
-     * A descriptive name for the new key. Use a name that will help you recognize this key in your GitHub account. For example, if you're using a personal Mac, you might call this key "Personal MacBook Air".
-     */
-    title?: string;
-  };
-  export type UsersDeleteEmailsParams = {
-    /**
-     * Deletes one or more email addresses from your GitHub account. Must contain at least one email address. **Note:** Alternatively, you can pass a single email address or an `array` of emails addresses directly, but we recommend that you pass an object using the `emails` key.
-     */
-    emails: string[];
-  };
-  export type UsersDeleteGpgKeyParams = {
-    gpg_key_id: number;
-  };
-  export type UsersDeletePublicKeyParams = {
-    key_id: number;
-  };
-  export type UsersFollowParams = {
-    username: string;
-  };
-  export type UsersGetByUsernameParams = {
-    username: string;
-  };
-  export type UsersGetContextForUserParams = {
-    /**
-     * Uses the ID for the `subject_type` you specified. **Required** when using `subject_type`.
-     */
-    subject_id?: string;
-    /**
-     * Identifies which additional information you'd like to receive about the person's hovercard. Can be `organization`, `repository`, `issue`, `pull_request`. **Required** when using `subject_id`.
-     */
-    subject_type?: "organization" | "repository" | "issue" | "pull_request";
-
-    username: string;
-  };
-  export type UsersGetGpgKeyParams = {
-    gpg_key_id: number;
-  };
-  export type UsersGetPublicKeyParams = {
-    key_id: number;
-  };
-  export type UsersListParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-    /**
-     * The integer ID of the last User that you've seen.
-     */
-    since?: string;
-  };
-  export type UsersListEmailsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type UsersListFollowersForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type UsersListFollowersForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type UsersListFollowingForAuthenticatedUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type UsersListFollowingForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type UsersListGpgKeysParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type UsersListGpgKeysForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type UsersListPublicEmailsParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type UsersListPublicKeysParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-  };
-  export type UsersListPublicKeysForUserParams = {
-    /**
-     * Page number of the results to fetch.
-     */
-    page?: number;
-    /**
-     * Results per page (max 100)
-     */
-    per_page?: number;
-
-    username: string;
-  };
-  export type UsersTogglePrimaryEmailVisibilityParams = {
-    /**
-     * Specify the _primary_ email address that needs a visibility change.
-     */
-    email: string;
-    /**
-     * Use `public` to enable an authenticated user to view the specified email address, or use `private` so this primary email address cannot be seen publicly.
-     */
-    visibility: string;
-  };
-  export type UsersUnblockParams = {
-    username: string;
-  };
-  export type UsersUnfollowParams = {
-    username: string;
-  };
-  export type UsersUpdateAuthenticatedParams = {
-    /**
-     * The new short biography of the user.
-     */
-    bio?: string;
-    /**
-     * The new blog URL of the user.
-     */
-    blog?: string;
-    /**
-     * The new company of the user.
-     */
-    company?: string;
-    /**
-     * The publicly visible email address of the user.
-     */
-    email?: string;
-    /**
-     * The new hiring availability of the user.
-     */
-    hireable?: boolean;
-    /**
-     * The new location of the user.
-     */
-    location?: string;
-    /**
-     * The new name of the user.
-     */
-    name?: string;
-  };
-
-  // child param types
-  export type AppsCreateInstallationTokenParamsPermissions = {};
-  export type ChecksCreateParamsActions = {
-    description: string;
-    identifier: string;
-    label: string;
-  };
-  export type ChecksCreateParamsOutput = {
-    annotations?: ChecksCreateParamsOutputAnnotations[];
-    images?: ChecksCreateParamsOutputImages[];
-    summary: string;
-    text?: string;
-    title: string;
-  };
-  export type ChecksCreateParamsOutputAnnotations = {
-    annotation_level: "notice" | "warning" | "failure";
-    end_column?: number;
-    end_line: number;
-    message: string;
-    path: string;
-    raw_details?: string;
-    start_column?: number;
-    start_line: number;
-    title?: string;
-  };
-  export type ChecksCreateParamsOutputImages = {
-    alt: string;
-    caption?: string;
-    image_url: string;
-  };
-  export type ChecksSetSuitesPreferencesParamsAutoTriggerChecks = {
-    app_id: number;
-    setting: boolean;
-  };
-  export type ChecksUpdateParamsActions = {
-    description: string;
-    identifier: string;
-    label: string;
-  };
-  export type ChecksUpdateParamsOutput = {
-    annotations?: ChecksUpdateParamsOutputAnnotations[];
-    images?: ChecksUpdateParamsOutputImages[];
-    summary: string;
-    text?: string;
-    title?: string;
-  };
-  export type ChecksUpdateParamsOutputAnnotations = {
-    annotation_level: "notice" | "warning" | "failure";
-    end_column?: number;
-    end_line: number;
-    message: string;
-    path: string;
-    raw_details?: string;
-    start_column?: number;
-    start_line: number;
-    title?: string;
-  };
-  export type ChecksUpdateParamsOutputImages = {
-    alt: string;
-    caption?: string;
-    image_url: string;
-  };
-  export type GistsCreateParamsFiles = {
-    content?: string;
-  };
-  export type GistsUpdateParamsFiles = {
-    content?: string;
-    filename?: string;
-  };
-  export type GitCreateCommitParamsAuthor = {
-    date?: string;
-    email?: string;
-    name?: string;
-  };
-  export type GitCreateCommitParamsCommitter = {
-    date?: string;
-    email?: string;
-    name?: string;
-  };
-  export type GitCreateTagParamsTagger = {
-    date?: string;
-    email?: string;
-    name?: string;
-  };
-  export type GitCreateTreeParamsTree = {
-    content?: string;
-    mode?: "100644" | "100755" | "040000" | "160000" | "120000";
-    path?: string;
-    sha?: string;
-    type?: "blob" | "tree" | "commit";
-  };
-  export type OrgsCreateHookParamsConfig = {
-    content_type?: string;
-    insecure_ssl?: string;
-    secret?: string;
-    url: string;
-  };
-  export type OrgsUpdateHookParamsConfig = {
-    content_type?: string;
-    insecure_ssl?: string;
-    secret?: string;
-    url: string;
-  };
-  export type PullsCreateReviewParamsComments = {
-    body: string;
-    path: string;
-    position: number;
-  };
-  export type ReposCreateDispatchEventParamsClientPayload = {};
-  export type ReposCreateFileParamsAuthor = {
-    email: string;
-    name: string;
-  };
-  export type ReposCreateFileParamsCommitter = {
-    email: string;
-    name: string;
-  };
-  export type ReposCreateHookParamsConfig = {
-    content_type?: string;
-    insecure_ssl?: string;
-    secret?: string;
-    url: string;
-  };
-  export type ReposCreateOrUpdateFileParamsAuthor = {
-    email: string;
-    name: string;
-  };
-  export type ReposCreateOrUpdateFileParamsCommitter = {
-    email: string;
-    name: string;
-  };
-  export type ReposDeleteFileParamsAuthor = {
-    email?: string;
-    name?: string;
-  };
-  export type ReposDeleteFileParamsCommitter = {
-    email?: string;
-    name?: string;
-  };
-  export type ReposEnablePagesSiteParamsSource = {
-    branch?: "master" | "gh-pages";
-    path?: string;
-  };
-  export type ReposUpdateBranchProtectionParamsRequiredPullRequestReviews = {
-    dismiss_stale_reviews?: boolean;
-    dismissal_restrictions?: ReposUpdateBranchProtectionParamsRequiredPullRequestReviewsDismissalRestrictions;
-    require_code_owner_reviews?: boolean;
-    required_approving_review_count?: number;
-  };
-  export type ReposUpdateBranchProtectionParamsRequiredPullRequestReviewsDismissalRestrictions = {
-    teams?: string[];
-    users?: string[];
-  };
-  export type ReposUpdateBranchProtectionParamsRequiredStatusChecks = {
-    contexts: string[];
-    strict: boolean;
-  };
-  export type ReposUpdateBranchProtectionParamsRestrictions = {
-    apps?: string[];
-    teams: string[];
-    users: string[];
-  };
-  export type ReposUpdateFileParamsAuthor = {
-    email: string;
-    name: string;
-  };
-  export type ReposUpdateFileParamsCommitter = {
-    email: string;
-    name: string;
-  };
-  export type ReposUpdateHookParamsConfig = {
-    content_type?: string;
-    insecure_ssl?: string;
-    secret?: string;
-    url: string;
-  };
-  export type ReposUpdateProtectedBranchPullRequestReviewEnforcementParamsDismissalRestrictions = {
-    teams?: string[];
-    users?: string[];
-  };
-  export type ReposUploadReleaseAssetParamsHeaders = {
-    "content-length": number;
-    "content-type": string;
-  };
-}
-
-export class Octokit {
-  constructor(options?: Octokit.Options);
-  authenticate(auth: Octokit.AuthBasic): void;
-  authenticate(auth: Octokit.AuthOAuthToken): void;
-  authenticate(auth: Octokit.AuthOAuthSecret): void;
-  authenticate(auth: Octokit.AuthUserToken): void;
-  authenticate(auth: Octokit.AuthJWT): void;
-
-  hook: {
-    before(
-      name: string,
-      callback: (options: Octokit.HookOptions) => void
-    ): void;
-    after(
-      name: string,
-      callback: (
-        response: Octokit.Response<any>,
-        options: Octokit.HookOptions
-      ) => void
-    ): void;
-    error(
-      name: string,
-      callback: (error: Octokit.HookError, options: Octokit.HookOptions) => void
-    ): void;
-    wrap(
-      name: string,
-      callback: (
-        request: (
-          options: Octokit.HookOptions
-        ) => Promise<Octokit.Response<any>>,
-        options: Octokit.HookOptions
-      ) => void
-    ): void;
-  };
-
-  static plugin(plugin: Octokit.Plugin | Octokit.Plugin[]): Octokit.Static;
-
-  registerEndpoints(endpoints: {
-    [scope: string]: Octokit.EndpointOptions;
-  }): void;
-
-  request: Octokit.Request;
-
-  paginate: Octokit.Paginate;
-
-  log: Octokit.Log;
-
-  actions: {
-    /**
-     * Cancels a workflow run using its `id`. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    cancelWorkflowRun: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsCancelWorkflowRunParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates or updates a secret with an encrypted value. Encrypt your secret using [LibSodium](https://libsodium.gitbook.io/doc/bindings_for_other_languages). Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-     *
-     * Encrypt your secret using the [tweetsodium](https://github.com/mastahyeti/tweetsodium) library.
-     *
-     *
-     *
-     * Encrypt your secret using [pynacl](https://pynacl.readthedocs.io/en/stable/public/#nacl-public-sealedbox) with Python 3.
-     *
-     *
-     *
-     * Encrypt your secret using the [Sodium.Core](https://www.nuget.org/packages/Sodium.Core/) package.
-     *
-     *
-     *
-     * Encrypt your secret using the [rbnacl](https://github.com/RubyCrypto/rbnacl) gem.
-     */
-    createOrUpdateSecretForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsCreateOrUpdateSecretForRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns a token that you can pass to the `config` script. The token expires after one hour. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-     *
-     * Configure your self-hosted runner, replacing TOKEN with the registration token provided by this endpoint.
-     */
-    createRegistrationToken: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsCreateRegistrationTokenParams
-      ): Promise<
-        Octokit.Response<Octokit.ActionsCreateRegistrationTokenResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns a token that you can pass to remove a self-hosted runner from a repository. The token expires after one hour. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-     *
-     * Remove your self-hosted runner from a repository, replacing TOKEN with the remove token provided by this endpoint.
-     */
-    createRemoveToken: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsCreateRemoveTokenParams
-      ): Promise<Octokit.Response<Octokit.ActionsCreateRemoveTokenResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deletes an artifact for a workflow run. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    deleteArtifact: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsDeleteArtifactParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deletes a secret in a repository using the secret name. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-     */
-    deleteSecretFromRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsDeleteSecretFromRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a redirect URL to download an archive for a repository. This URL expires after 1 minute. Look for `Location:` in the response header to find the URL for the download. The `:archive_format` must be `zip`. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     *
-     * Call this endpoint using the `-v` flag, which enables verbose output and allows you to see the download URL in the header. To download the file into the current working directory, specify the filename using the `-o` flag.
-     */
-    downloadArtifact: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsDownloadArtifactParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a specific artifact for a workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    getArtifact: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsGetArtifactParams
-      ): Promise<Octokit.Response<Octokit.ActionsGetArtifactResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets your public key, which you must store. You need your public key to use other secrets endpoints. Use the returned `key` to encrypt your secrets. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-     */
-    getPublicKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsGetPublicKeyParams
-      ): Promise<Octokit.Response<Octokit.ActionsGetPublicKeyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a single secret without revealing its encrypted value. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-     */
-    getSecret: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsGetSecretParams
-      ): Promise<Octokit.Response<Octokit.ActionsGetSecretResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a specific self-hosted runner. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-     */
-    getSelfHostedRunner: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsGetSelfHostedRunnerParams
-      ): Promise<Octokit.Response<Octokit.ActionsGetSelfHostedRunnerResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a specific workflow. You can also replace `:workflow_id` with `:workflow_file_name`. For example, you could use `main.yml`. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    getWorkflow: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsGetWorkflowParams
-      ): Promise<Octokit.Response<Octokit.ActionsGetWorkflowResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a specific job in a workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    getWorkflowJob: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsGetWorkflowJobParams
-      ): Promise<Octokit.Response<Octokit.ActionsGetWorkflowJobResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a specific workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    getWorkflowRun: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsGetWorkflowRunParams
-      ): Promise<Octokit.Response<Octokit.ActionsGetWorkflowRunResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists binaries for the self-hosted runner application that you can download and run. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-     */
-    listDownloadsForSelfHostedRunnerApplication: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsListDownloadsForSelfHostedRunnerApplicationParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ActionsListDownloadsForSelfHostedRunnerApplicationResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists jobs for a workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    listJobsForWorkflowRun: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsListJobsForWorkflowRunParams
-      ): Promise<
-        Octokit.Response<Octokit.ActionsListJobsForWorkflowRunResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all workflow runs for a repository. You can use parameters to narrow the list of results. For more information about using parameters, see [Parameters](https://developer.github.com/v3/#parameters).
-     *
-     * Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    listRepoWorkflowRuns: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsListRepoWorkflowRunsParams
-      ): Promise<Octokit.Response<Octokit.ActionsListRepoWorkflowRunsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the workflows in a repository. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    listRepoWorkflows: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsListRepoWorkflowsParams
-      ): Promise<Octokit.Response<Octokit.ActionsListRepoWorkflowsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all secrets available in a repository without revealing their encrypted values. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `secrets` permission to use this endpoint.
-     */
-    listSecretsForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsListSecretsForRepoParams
-      ): Promise<Octokit.Response<Octokit.ActionsListSecretsForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all self-hosted runners for a repository. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-     */
-    listSelfHostedRunnersForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsListSelfHostedRunnersForRepoParams
-      ): Promise<
-        Octokit.Response<Octokit.ActionsListSelfHostedRunnersForRepoResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a redirect URL to download a plain text file of logs for a workflow job. This link expires after 1 minute. Look for `Location:` in the response header to find the URL for the download. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     *
-     * Call this endpoint using the `-v` flag, which enables verbose output and allows you to see the download URL in the header. To download the file into the current working directory, specify the filename using the `-o` flag.
-     */
-    listWorkflowJobLogs: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsListWorkflowJobLogsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists artifacts for a workflow run. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    listWorkflowRunArtifacts: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsListWorkflowRunArtifactsParams
-      ): Promise<
-        Octokit.Response<Octokit.ActionsListWorkflowRunArtifactsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a redirect URL to download an archive of log files for a workflow run. This link expires after 1 minute. Look for `Location:` in the response header to find the URL for the download. Anyone with read access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     *
-     * Call this endpoint using the `-v` flag, which enables verbose output and allows you to see the download URL in the header. To download the file into the current working directory, specify the filename using the `-o` flag.
-     */
-    listWorkflowRunLogs: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsListWorkflowRunLogsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all workflow runs for a workflow. You can also replace `:workflow_id` with `:workflow_file_name`. For example, you could use `main.yml`. You can use parameters to narrow the list of results. For more information about using parameters, see [Parameters](https://developer.github.com/v3/#parameters).
-     *
-     * Anyone with read access to the repository can use this endpoint.
-     */
-    listWorkflowRuns: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsListWorkflowRunsParams
-      ): Promise<Octokit.Response<Octokit.ActionsListWorkflowRunsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Re-runs your workflow run using its `id`. Anyone with write access to the repository can use this endpoint. GitHub Apps must have the `actions` permission to use this endpoint.
-     */
-    reRunWorkflow: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActionsReRunWorkflowParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Forces the removal of a self-hosted runner from a repository. You can use this endpoint to completely remove the runner when the machine you were using no longer exists. Anyone with admin access to the repository can use this endpoint. GitHub Apps must have the `administration` permission to use this endpoint.
-     */
-    removeSelfHostedRunner: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActionsRemoveSelfHostedRunnerParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  activity: {
-    /**
-     * Requires for the user to be authenticated.
-     */
-    checkStarringRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityCheckStarringRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Requires for the user to be authenticated.
-     */
-    checkWatchingRepoLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityCheckWatchingRepoLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint should only be used to stop watching a repository. To control whether or not you wish to receive notifications from a repository, [set the repository's subscription manually](https://developer.github.com/v3/activity/watching/#set-a-repository-subscription).
-     */
-    deleteRepoSubscription: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityDeleteRepoSubscriptionParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Mutes all future notifications for a conversation until you comment on the thread or get **@mention**ed.
-     */
-    deleteThreadSubscription: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityDeleteThreadSubscriptionParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getRepoSubscription: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityGetRepoSubscriptionParams
-      ): Promise<Octokit.Response<Octokit.ActivityGetRepoSubscriptionResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getThread: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityGetThreadParams
-      ): Promise<Octokit.Response<Octokit.ActivityGetThreadResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This checks to see if the current user is subscribed to a thread. You can also [get a repository subscription](https://developer.github.com/v3/activity/watching/#get-a-repository-subscription).
-     *
-     * Note that subscriptions are only generated if a user is participating in a conversation--for example, they've replied to the thread, were **@mentioned**, or manually subscribe to a thread.
-     */
-    getThreadSubscription: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityGetThreadSubscriptionParams
-      ): Promise<
-        Octokit.Response<Octokit.ActivityGetThreadSubscriptionResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This is the user's organization dashboard. You must be authenticated as the user to view this.
-     */
-    listEventsForOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityListEventsForOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * If you are authenticated as the given user, you will see your private events. Otherwise, you'll only see public events.
-     */
-    listEventsForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListEventsForUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * GitHub provides several timeline resources in [Atom](http://en.wikipedia.org/wiki/Atom_(standard)) format. The Feeds API lists all the feeds available to the authenticated user:
-     *
-     * *   **Timeline**: The GitHub global public timeline
-     * *   **User**: The public timeline for any user, using [URI template](https://developer.github.com/v3/#hypermedia)
-     * *   **Current user public**: The public timeline for the authenticated user
-     * *   **Current user**: The private timeline for the authenticated user
-     * *   **Current user actor**: The private timeline for activity created by the authenticated user
-     * *   **Current user organizations**: The private timeline for the organizations the authenticated user is a member of.
-     * *   **Security advisories**: A collection of public announcements that provide information about security-related vulnerabilities in software on GitHub.
-     *
-     * **Note**: Private feeds are only returned when [authenticating via Basic Auth](https://developer.github.com/v3/#basic-authentication) since current feed URIs use the older, non revocable auth tokens.
-     */
-    listFeeds: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.ActivityListFeedsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all notifications for the current user, sorted by most recently updated.
-     *
-     * The following example uses the `since` parameter to list notifications that have been updated after the specified time.
-     */
-    listNotifications: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListNotificationsParams
-      ): Promise<Octokit.Response<Octokit.ActivityListNotificationsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all notifications for the current user.
-     */
-    listNotificationsForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListNotificationsForRepoParams
-      ): Promise<
-        Octokit.Response<Octokit.ActivityListNotificationsForRepoResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * We delay the public events feed by five minutes, which means the most recent event returned by the public events API actually occurred at least five minutes ago.
-     */
-    listPublicEvents: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityListPublicEventsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listPublicEventsForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListPublicEventsForOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listPublicEventsForRepoNetwork: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListPublicEventsForRepoNetworkParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listPublicEventsForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListPublicEventsForUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * These are events that you've received by watching repos and following users. If you are authenticated as the given user, you will see private events. Otherwise, you'll only see public events.
-     */
-    listReceivedEventsForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListReceivedEventsForUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listReceivedPublicEventsForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListReceivedPublicEventsForUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listRepoEvents: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityListRepoEventsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-     */
-    listReposStarredByAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListReposStarredByAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ActivityListReposStarredByAuthenticatedUserResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-     */
-    listReposStarredByUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListReposStarredByUserParams
-      ): Promise<
-        Octokit.Response<Octokit.ActivityListReposStarredByUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listReposWatchedByUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListReposWatchedByUserParams
-      ): Promise<
-        Octokit.Response<Octokit.ActivityListReposWatchedByUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You can also find out _when_ stars were created by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-     */
-    listStargazersForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListStargazersForRepoParams
-      ): Promise<
-        Octokit.Response<Octokit.ActivityListStargazersForRepoResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listWatchedReposForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListWatchedReposForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ActivityListWatchedReposForAuthenticatedUserResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listWatchersForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityListWatchersForRepoParams
-      ): Promise<Octokit.Response<Octokit.ActivityListWatchersForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Marks a notification as "read" removes it from the [default view on GitHub](https://github.com/notifications). If the number of notifications is too large to complete in one request, you will receive a `202 Accepted` status and GitHub will run an asynchronous process to mark notifications as "read." To check whether any "unread" notifications remain, you can use the [List your notifications](https://developer.github.com/v3/activity/notifications/#list-your-notifications) endpoint and pass the query parameter `all=false`.
-     */
-    markAsRead: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityMarkAsReadParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Marks all notifications in a repository as "read" removes them from the [default view on GitHub](https://github.com/notifications). If the number of notifications is too large to complete in one request, you will receive a `202 Accepted` status and GitHub will run an asynchronous process to mark notifications as "read." To check whether any "unread" notifications remain, you can use the [List your notifications in a repository](https://developer.github.com/v3/activity/notifications/#list-your-notifications-in-a-repository) endpoint and pass the query parameter `all=false`.
-     */
-    markNotificationsAsReadForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityMarkNotificationsAsReadForRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    markThreadAsRead: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityMarkThreadAsReadParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * If you would like to watch a repository, set `subscribed` to `true`. If you would like to ignore notifications made within a repository, set `ignored` to `true`. If you would like to stop watching a repository, [delete the repository's subscription](https://developer.github.com/v3/activity/watching/#delete-a-repository-subscription) completely.
-     */
-    setRepoSubscription: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivitySetRepoSubscriptionParams
-      ): Promise<Octokit.Response<Octokit.ActivitySetRepoSubscriptionResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This lets you subscribe or unsubscribe from a conversation.
-     */
-    setThreadSubscription: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivitySetThreadSubscriptionParams
-      ): Promise<
-        Octokit.Response<Octokit.ActivitySetThreadSubscriptionResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Requires for the user to be authenticated.
-     *
-     * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    starRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityStarRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Requires for the user to be authenticated.
-     */
-    stopWatchingRepoLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ActivityStopWatchingRepoLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Requires for the user to be authenticated.
-     */
-    unstarRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityUnstarRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Requires the user to be authenticated.
-     *
-     * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    watchRepoLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ActivityWatchRepoLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  apps: {
-    /**
-     * Add a single repository to an installation. The authenticated user must have admin access to the repository.
-     *
-     * You must use a personal access token (which you can create via the [command line](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization)) or [Basic Authentication](https://developer.github.com/v3/auth/#basic-authentication) to access this endpoint.
-     */
-    addRepoToInstallation: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsAddRepoToInstallationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Shows whether the user or organization account actively subscribes to a plan listed by the authenticated GitHub App. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
-     *
-     * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-     */
-    checkAccountIsAssociatedWithAny: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsCheckAccountIsAssociatedWithAnyParams
-      ): Promise<
-        Octokit.Response<Octokit.AppsCheckAccountIsAssociatedWithAnyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Shows whether the user or organization account actively subscribes to a plan listed by the authenticated GitHub App. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
-     *
-     * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-     */
-    checkAccountIsAssociatedWithAnyStubbed: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsCheckAccountIsAssociatedWithAnyStubbedParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.AppsCheckAccountIsAssociatedWithAnyStubbedResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * OAuth applications can use a special API method for checking OAuth token validity without exceeding the normal rate limits for failed login attempts. Authentication works differently with this particular endpoint. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-     * @deprecated octokit.apps.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization
-     */
-    checkAuthorization: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsCheckAuthorizationParams
-      ): Promise<Octokit.Response<Octokit.AppsCheckAuthorizationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * OAuth applications can use a special API method for checking OAuth token validity without exceeding the normal rate limits for failed login attempts. Authentication works differently with this particular endpoint. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) to use this endpoint, where the username is the OAuth application `client_id` and the password is its `client_secret`. Invalid tokens will return `404 NOT FOUND`.
-     */
-    checkToken: {
-      (params?: Octokit.RequestOptions & Octokit.AppsCheckTokenParams): Promise<
-        Octokit.Response<Octokit.AppsCheckTokenResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates an attachment under a content reference URL in the body or comment of an issue or pull request. Use the `id` of the content reference from the [`content_reference` event](https://developer.github.com/v3/activity/events/types/#contentreferenceevent) to create an attachment.
-     *
-     * The app must create a content attachment within six hours of the content reference URL being posted. See "[Using content attachments](https://developer.github.com/apps/using-content-attachments/)" for details about content attachments.
-     *
-     * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
-     *
-     * This example creates a content attachment for the domain `https://errors.ai/`.
-     */
-    createContentAttachment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsCreateContentAttachmentParams
-      ): Promise<Octokit.Response<Octokit.AppsCreateContentAttachmentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Use this endpoint to complete the handshake necessary when implementing the [GitHub App Manifest flow](https://developer.github.com/apps/building-github-apps/creating-github-apps-from-a-manifest/). When you create a GitHub App with the manifest flow, you receive a temporary `code` used to retrieve the GitHub App's `id`, `pem` (private key), and `webhook_secret`.
-     */
-    createFromManifest: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsCreateFromManifestParams
-      ): Promise<Octokit.Response<Octokit.AppsCreateFromManifestResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates an installation access token that enables a GitHub App to make authenticated API requests for the app's installation on an organization or individual account. Installation tokens expire one hour from the time you create them. Using an expired token produces a status code of `401 - Unauthorized`, and requires creating a new installation token. By default the installation token has access to all repositories that the installation can access. To restrict the access to specific repositories, you can provide the `repository_ids` when creating the token. When you omit `repository_ids`, the response does not contain the `repositories` key.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     *
-     * This example grants the token "Read and write" permission to `issues` and "Read" permission to `contents`, and restricts the token's access to the repository with an `id` of 1296269.
-     */
-    createInstallationToken: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsCreateInstallationTokenParams
-      ): Promise<Octokit.Response<Octokit.AppsCreateInstallationTokenResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * OAuth application owners can revoke a grant for their OAuth application and a specific user. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. You must also provide a valid OAuth `access_token` as an input parameter and the grant for the token's owner will be deleted.
-     *
-     * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for the user. Once deleted, the application will have no access to the user's account and will no longer be listed on [the application authorizations settings screen within GitHub](https://github.com/settings/applications#authorized).
-     */
-    deleteAuthorization: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsDeleteAuthorizationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Uninstalls a GitHub App on a user, organization, or business account.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     */
-    deleteInstallation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsDeleteInstallationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * OAuth application owners can revoke a single token for an OAuth application. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password.
-     */
-    deleteToken: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsDeleteTokenParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Enables an authenticated GitHub App to find the organization's installation information.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     * @deprecated octokit.apps.findOrgInstallation() has been renamed to octokit.apps.getOrgInstallation() (2019-04-10)
-     */
-    findOrgInstallation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsFindOrgInstallationParams
-      ): Promise<Octokit.Response<Octokit.AppsFindOrgInstallationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Enables an authenticated GitHub App to find the repository's installation information. The installation's account type will be either an organization or a user account, depending which account the repository belongs to.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     * @deprecated octokit.apps.findRepoInstallation() has been renamed to octokit.apps.getRepoInstallation() (2019-04-10)
-     */
-    findRepoInstallation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsFindRepoInstallationParams
-      ): Promise<Octokit.Response<Octokit.AppsFindRepoInstallationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Enables an authenticated GitHub App to find the user’s installation information.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     * @deprecated octokit.apps.findUserInstallation() has been renamed to octokit.apps.getUserInstallation() (2019-04-10)
-     */
-    findUserInstallation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsFindUserInstallationParams
-      ): Promise<Octokit.Response<Octokit.AppsFindUserInstallationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns the GitHub App associated with the authentication credentials used. To see how many app installations are associated with this GitHub App, see the `installations_count` in the response. For more details about your app's installations, see the "[List installations](https://developer.github.com/v3/apps/#list-installations)" endpoint.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     */
-    getAuthenticated: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.AppsGetAuthenticatedResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: The `:app_slug` is just the URL-friendly name of your GitHub App. You can find this on the settings page for your GitHub App (e.g., `https://github.com/settings/apps/:app_slug`).
-     *
-     * If the GitHub App you specify is public, you can access this endpoint without authenticating. If the GitHub App you specify is private, you must authenticate with a [personal access token](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
-     */
-    getBySlug: {
-      (params?: Octokit.RequestOptions & Octokit.AppsGetBySlugParams): Promise<
-        Octokit.Response<Octokit.AppsGetBySlugResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     */
-    getInstallation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsGetInstallationParams
-      ): Promise<Octokit.Response<Octokit.AppsGetInstallationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Enables an authenticated GitHub App to find the organization's installation information.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     */
-    getOrgInstallation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsGetOrgInstallationParams
-      ): Promise<Octokit.Response<Octokit.AppsGetOrgInstallationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Enables an authenticated GitHub App to find the repository's installation information. The installation's account type will be either an organization or a user account, depending which account the repository belongs to.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     */
-    getRepoInstallation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsGetRepoInstallationParams
-      ): Promise<Octokit.Response<Octokit.AppsGetRepoInstallationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Enables an authenticated GitHub App to find the user’s installation information.
-     *
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     */
-    getUserInstallation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsGetUserInstallationParams
-      ): Promise<Octokit.Response<Octokit.AppsGetUserInstallationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns any accounts associated with a plan, including free plans. For per-seat pricing, you see the list of accounts that have purchased the plan, including the number of seats purchased. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
-     *
-     * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-     */
-    listAccountsUserOrOrgOnPlan: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsListAccountsUserOrOrgOnPlanParams
-      ): Promise<
-        Octokit.Response<Octokit.AppsListAccountsUserOrOrgOnPlanResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns any accounts associated with a plan, including free plans. For per-seat pricing, you see the list of accounts that have purchased the plan, including the number of seats purchased. When someone submits a plan change that won't be processed until the end of their billing cycle, you will also see the upcoming pending change.
-     *
-     * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-     */
-    listAccountsUserOrOrgOnPlanStubbed: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsListAccountsUserOrOrgOnPlanStubbedParams
-      ): Promise<
-        Octokit.Response<Octokit.AppsListAccountsUserOrOrgOnPlanStubbedResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List repositories that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access for an installation.
-     *
-     * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
-     *
-     * You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint.
-     *
-     * The access the user has to each repository is included in the hash under the `permissions` key.
-     */
-    listInstallationReposForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsListInstallationReposForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.AppsListInstallationReposForAuthenticatedUserResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint.
-     *
-     * The permissions the installation has are included under the `permissions` key.
-     */
-    listInstallations: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsListInstallationsParams
-      ): Promise<Octokit.Response<Octokit.AppsListInstallationsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists installations of your GitHub App that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access.
-     *
-     * You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint.
-     *
-     * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
-     *
-     * You can find the permissions for the installation under the `permissions` key.
-     */
-    listInstallationsForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsListInstallationsForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.AppsListInstallationsForAuthenticatedUserResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns only active subscriptions. You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint. . OAuth Apps must authenticate using an [OAuth token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/).
-     */
-    listMarketplacePurchasesForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsListMarketplacePurchasesForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.AppsListMarketplacePurchasesForAuthenticatedUserResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns only active subscriptions. You must use a [user-to-server OAuth access token](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/#identifying-users-on-your-site), created for a user who has authorized your GitHub App, to access this endpoint. . OAuth Apps must authenticate using an [OAuth token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/).
-     */
-    listMarketplacePurchasesForAuthenticatedUserStubbed: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsListMarketplacePurchasesForAuthenticatedUserStubbedParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.AppsListMarketplacePurchasesForAuthenticatedUserStubbedResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-     */
-    listPlans: {
-      (params?: Octokit.RequestOptions & Octokit.AppsListPlansParams): Promise<
-        Octokit.Response<Octokit.AppsListPlansResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * GitHub Apps must use a [JWT](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-a-github-app) to access this endpoint. OAuth Apps must use [basic authentication](https://developer.github.com/v3/auth/#basic-authentication) with their client ID and client secret to access this endpoint.
-     */
-    listPlansStubbed: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsListPlansStubbedParams
-      ): Promise<Octokit.Response<Octokit.AppsListPlansStubbedResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List repositories that an installation can access.
-     *
-     * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
-     */
-    listRepos: {
-      (params?: Octokit.RequestOptions & Octokit.AppsListReposParams): Promise<
-        Octokit.Response<Octokit.AppsListReposResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Remove a single repository from an installation. The authenticated user must have admin access to the repository.
-     *
-     * You must use a personal access token (which you can create via the [command line](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/) or the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization)) or [Basic Authentication](https://developer.github.com/v3/auth/#basic-authentication) to access this endpoint.
-     */
-    removeRepoFromInstallation: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsRemoveRepoFromInstallationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * OAuth applications can use this API method to reset a valid OAuth token without end-user involvement. Applications must save the "token" property in the response because changes take effect immediately. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-     * @deprecated octokit.apps.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization
-     */
-    resetAuthorization: {
-      (
-        params?: Octokit.RequestOptions & Octokit.AppsResetAuthorizationParams
-      ): Promise<Octokit.Response<Octokit.AppsResetAuthorizationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * OAuth applications can use this API method to reset a valid OAuth token without end-user involvement. Applications must save the "token" property in the response because changes take effect immediately. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-     */
-    resetToken: {
-      (params?: Octokit.RequestOptions & Octokit.AppsResetTokenParams): Promise<
-        Octokit.Response<Octokit.AppsResetTokenResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * OAuth application owners can revoke a single token for an OAuth application. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password.
-     * @deprecated octokit.apps.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application
-     */
-    revokeAuthorizationForApplication: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsRevokeAuthorizationForApplicationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * OAuth application owners can revoke a grant for their OAuth application and a specific user. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. You must also provide a valid token as `:access_token` and the grant for the token's owner will be deleted.
-     *
-     * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for the user. Once deleted, the application will have no access to the user's account and will no longer be listed on [the Applications settings page under "Authorized OAuth Apps" on GitHub](https://github.com/settings/applications#authorized).
-     * @deprecated octokit.apps.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application
-     */
-    revokeGrantForApplication: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.AppsRevokeGrantForApplicationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Revokes the installation token you're using to authenticate as an installation and access this endpoint.
-     *
-     * Once an installation token is revoked, the token is invalidated and cannot be used. Other endpoints that require the revoked installation token must have a new installation token to work. You can create a new token using the "[Create a new installation token](https://developer.github.com/v3/apps/#create-a-new-installation-token)" endpoint.
-     *
-     * You must use an [installation access token](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/#authenticating-as-an-installation) to access this endpoint.
-     */
-    revokeInstallationToken: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  checks: {
-    /**
-     * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-     *
-     * Creates a new check run for a specific commit in a repository. Your GitHub App must have the `checks:write` permission to create check runs.
-     */
-    create: {
-      (params?: Octokit.RequestOptions & Octokit.ChecksCreateParams): Promise<
-        Octokit.Response<Octokit.ChecksCreateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
-     *
-     * By default, check suites are automatically created when you create a [check run](https://developer.github.com/v3/checks/runs/). You only need to use this endpoint for manually creating check suites when you've disabled automatic creation using "[Set preferences for check suites on a repository](https://developer.github.com/v3/checks/suites/#set-preferences-for-check-suites-on-a-repository)". Your GitHub App must have the `checks:write` permission to create check suites.
-     */
-    createSuite: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ChecksCreateSuiteParams
-      ): Promise<Octokit.Response<Octokit.ChecksCreateSuiteResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-     *
-     * Gets a single check run using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
-     */
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.ChecksGetParams): Promise<
-        Octokit.Response<Octokit.ChecksGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
-     *
-     * Gets a single check suite using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check suites. OAuth Apps and authenticated users must have the `repo` scope to get check suites in a private repository.
-     */
-    getSuite: {
-      (params?: Octokit.RequestOptions & Octokit.ChecksGetSuiteParams): Promise<
-        Octokit.Response<Octokit.ChecksGetSuiteResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists annotations for a check run using the annotation `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get annotations for a check run. OAuth Apps and authenticated users must have the `repo` scope to get annotations for a check run in a private repository.
-     */
-    listAnnotations: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ChecksListAnnotationsParams
-      ): Promise<Octokit.Response<Octokit.ChecksListAnnotationsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-     *
-     * Lists check runs for a commit ref. The `ref` can be a SHA, branch name, or a tag name. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
-     */
-    listForRef: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ChecksListForRefParams
-      ): Promise<Octokit.Response<Octokit.ChecksListForRefResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-     *
-     * Lists check runs for a check suite using its `id`. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to get check runs. OAuth Apps and authenticated users must have the `repo` scope to get check runs in a private repository.
-     */
-    listForSuite: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ChecksListForSuiteParams
-      ): Promise<Octokit.Response<Octokit.ChecksListForSuiteResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array and a `null` value for `head_branch`.
-     *
-     * Lists check suites for a commit `ref`. The `ref` can be a SHA, branch name, or a tag name. GitHub Apps must have the `checks:read` permission on a private repository or pull access to a public repository to list check suites. OAuth Apps and authenticated users must have the `repo` scope to get check suites in a private repository.
-     */
-    listSuitesForRef: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ChecksListSuitesForRefParams
-      ): Promise<Octokit.Response<Octokit.ChecksListSuitesForRefResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Triggers GitHub to rerequest an existing check suite, without pushing new code to a repository. This endpoint will trigger the [`check_suite` webhook](https://developer.github.com/v3/activity/events/types/#checksuiteevent) event with the action `rerequested`. When a check suite is `rerequested`, its `status` is reset to `queued` and the `conclusion` is cleared.
-     *
-     * To rerequest a check suite, your GitHub App must have the `checks:read` permission on a private repository or pull access to a public repository.
-     */
-    rerequestSuite: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ChecksRerequestSuiteParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Changes the default automatic flow when creating check suites. By default, the CheckSuiteEvent is automatically created each time code is pushed to a repository. When you disable the automatic creation of check suites, you can manually [Create a check suite](https://developer.github.com/v3/checks/suites/#create-a-check-suite). You must have admin permissions in the repository to set preferences for check suites.
-     */
-    setSuitesPreferences: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ChecksSetSuitesPreferencesParams
-      ): Promise<Octokit.Response<Octokit.ChecksSetSuitesPreferencesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** The Checks API only looks for pushes in the repository where the check suite or check run were created. Pushes to a branch in a forked repository are not detected and return an empty `pull_requests` array.
-     *
-     * Updates a check run for a specific commit in a repository. Your GitHub App must have the `checks:write` permission to edit check runs.
-     */
-    update: {
-      (params?: Octokit.RequestOptions & Octokit.ChecksUpdateParams): Promise<
-        Octokit.Response<Octokit.ChecksUpdateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  codesOfConduct: {
-    getConductCode: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.CodesOfConductGetConductCodeParams
-      ): Promise<
-        Octokit.Response<Octokit.CodesOfConductGetConductCodeResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This method returns the contents of the repository's code of conduct file, if one is detected.
-     */
-    getForRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.CodesOfConductGetForRepoParams
-      ): Promise<Octokit.Response<Octokit.CodesOfConductGetForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listConductCodes: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.CodesOfConductListConductCodesResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  emojis: {
-    /**
-     * Lists all the emojis available to use on GitHub.
-     */
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  gists: {
-    checkIsStarred: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsCheckIsStarredParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Allows you to add a new gist with one or more files.
-     *
-     * **Note:** Don't name your files "gistfile" with a numerical suffix. This is the format of the automatic naming scheme that Gist uses internally.
-     */
-    create: {
-      (params?: Octokit.RequestOptions & Octokit.GistsCreateParams): Promise<
-        Octokit.Response<Octokit.GistsCreateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    createComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsCreateCommentParams
-      ): Promise<Octokit.Response<Octokit.GistsCreateCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    delete: {
-      (params?: Octokit.RequestOptions & Octokit.GistsDeleteParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsDeleteCommentParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: This was previously `/gists/:gist_id/fork`.
-     */
-    fork: {
-      (params?: Octokit.RequestOptions & Octokit.GistsForkParams): Promise<
-        Octokit.Response<Octokit.GistsForkResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.GistsGetParams): Promise<
-        Octokit.Response<Octokit.GistsGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsGetCommentParams
-      ): Promise<Octokit.Response<Octokit.GistsGetCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getRevision: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsGetRevisionParams
-      ): Promise<Octokit.Response<Octokit.GistsGetRevisionResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    list: {
-      (params?: Octokit.RequestOptions & Octokit.GistsListParams): Promise<
-        Octokit.Response<Octokit.GistsListResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listComments: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsListCommentsParams
-      ): Promise<Octokit.Response<Octokit.GistsListCommentsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listCommits: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsListCommitsParams
-      ): Promise<Octokit.Response<Octokit.GistsListCommitsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listForks: {
-      (params?: Octokit.RequestOptions & Octokit.GistsListForksParams): Promise<
-        Octokit.Response<Octokit.GistsListForksResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all public gists sorted by most recently updated to least recently updated.
-     *
-     * Note: With [pagination](https://developer.github.com/v3/#pagination), you can fetch up to 3000 gists. For example, you can fetch 100 pages with 30 gists per page or 30 pages with 100 gists per page.
-     */
-    listPublic: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsListPublicParams
-      ): Promise<Octokit.Response<Octokit.GistsListPublicResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listPublicForUser: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsListPublicForUserParams
-      ): Promise<Octokit.Response<Octokit.GistsListPublicForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the authenticated user's starred gists:
-     */
-    listStarred: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsListStarredParams
-      ): Promise<Octokit.Response<Octokit.GistsListStarredResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    star: {
-      (params?: Octokit.RequestOptions & Octokit.GistsStarParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    unstar: {
-      (params?: Octokit.RequestOptions & Octokit.GistsUnstarParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Allows you to update or delete a gist file and rename gist files. Files from the previous version of the gist that aren't explicitly changed during an edit are unchanged.
-     */
-    update: {
-      (params?: Octokit.RequestOptions & Octokit.GistsUpdateParams): Promise<
-        Octokit.Response<Octokit.GistsUpdateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GistsUpdateCommentParams
-      ): Promise<Octokit.Response<Octokit.GistsUpdateCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  git: {
-    createBlob: {
-      (params?: Octokit.RequestOptions & Octokit.GitCreateBlobParams): Promise<
-        Octokit.Response<Octokit.GitCreateBlobResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new Git [commit object](https://git-scm.com/book/en/v1/Git-Internals-Git-Objects#Commit-Objects).
-     *
-     * In this example, the payload of the signature would be:
-     *
-     *
-     *
-     * **Signature verification object**
-     *
-     * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-     *
-     * These are the possible values for `reason` in the `verification` object:
-     *
-     * | Value                    | Description                                                                                                                       |
-     * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-     * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-     * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-     * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-     * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-     * | `unsigned`               | The object does not include a signature.                                                                                          |
-     * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-     * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-     * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-     * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-     * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-     * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-     * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-     * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-     */
-    createCommit: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GitCreateCommitParams
-      ): Promise<Octokit.Response<Octokit.GitCreateCommitResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a reference for your repository. You are unable to create new references for empty repositories, even if the commit SHA-1 hash used exists. Empty repositories are repositories without branches.
-     */
-    createRef: {
-      (params?: Octokit.RequestOptions & Octokit.GitCreateRefParams): Promise<
-        Octokit.Response<Octokit.GitCreateRefResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Note that creating a tag object does not create the reference that makes a tag in Git. If you want to create an annotated tag in Git, you have to do this call to create the tag object, and then [create](https://developer.github.com/v3/git/refs/#create-a-reference) the `refs/tags/[tag]` reference. If you want to create a lightweight tag, you only have to [create](https://developer.github.com/v3/git/refs/#create-a-reference) the tag reference - this call would be unnecessary.
-     *
-     * **Signature verification object**
-     *
-     * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-     *
-     * These are the possible values for `reason` in the `verification` object:
-     *
-     * | Value                    | Description                                                                                                                       |
-     * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-     * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-     * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-     * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-     * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-     * | `unsigned`               | The object does not include a signature.                                                                                          |
-     * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-     * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-     * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-     * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-     * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-     * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-     * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-     * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-     */
-    createTag: {
-      (params?: Octokit.RequestOptions & Octokit.GitCreateTagParams): Promise<
-        Octokit.Response<Octokit.GitCreateTagResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The tree creation API accepts nested entries. If you specify both a tree and a nested path modifying that tree, this endpoint will overwrite the contents of the tree with the new path contents, and create a new tree structure.
-     *
-     * If you use this endpoint to add, delete, or modify the file contents in a tree, you will need to commit the tree and then update a branch to point to the commit. For more information see "[Create a commit](https://developer.github.com/v3/git/commits/#create-a-commit)" and "[Update a reference](https://developer.github.com/v3/git/refs/#update-a-reference)."
-     */
-    createTree: {
-      (params?: Octokit.RequestOptions & Octokit.GitCreateTreeParams): Promise<
-        Octokit.Response<Octokit.GitCreateTreeResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * ```
-     * DELETE /repos/octocat/Hello-World/git/refs/heads/feature-a
-     * ```
-     *
-     * ```
-     * DELETE /repos/octocat/Hello-World/git/refs/tags/v1.0
-     * ```
-     */
-    deleteRef: {
-      (params?: Octokit.RequestOptions & Octokit.GitDeleteRefParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The `content` in the response will always be Base64 encoded.
-     *
-     * _Note_: This API supports blobs up to 100 megabytes in size.
-     */
-    getBlob: {
-      (params?: Octokit.RequestOptions & Octokit.GitGetBlobParams): Promise<
-        Octokit.Response<Octokit.GitGetBlobResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a Git [commit object](https://git-scm.com/book/en/v1/Git-Internals-Git-Objects#Commit-Objects).
-     *
-     * **Signature verification object**
-     *
-     * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-     *
-     * These are the possible values for `reason` in the `verification` object:
-     *
-     * | Value                    | Description                                                                                                                       |
-     * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-     * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-     * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-     * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-     * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-     * | `unsigned`               | The object does not include a signature.                                                                                          |
-     * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-     * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-     * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-     * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-     * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-     * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-     * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-     * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-     */
-    getCommit: {
-      (params?: Octokit.RequestOptions & Octokit.GitGetCommitParams): Promise<
-        Octokit.Response<Octokit.GitGetCommitResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns a single reference from your Git database. The `:ref` in the URL must be formatted as `heads/<branch name>` for branches and `tags/<tag name>` for tags. If the `:ref` doesn't match an existing ref, a `404` is returned.
-     *
-     * **Note:** You need to explicitly [request a pull request](https://developer.github.com/v3/pulls/#get-a-single-pull-request) to trigger a test merge commit, which checks the mergeability of pull requests. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
-     *
-     * To get the reference for a branch named `skunkworkz/featureA`, the endpoint route is:
-     */
-    getRef: {
-      (params?: Octokit.RequestOptions & Octokit.GitGetRefParams): Promise<
-        Octokit.Response<Octokit.GitGetRefResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Signature verification object**
-     *
-     * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-     *
-     * These are the possible values for `reason` in the `verification` object:
-     *
-     * | Value                    | Description                                                                                                                       |
-     * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-     * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-     * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-     * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-     * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-     * | `unsigned`               | The object does not include a signature.                                                                                          |
-     * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-     * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-     * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-     * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-     * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-     * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-     * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-     * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-     */
-    getTag: {
-      (params?: Octokit.RequestOptions & Octokit.GitGetTagParams): Promise<
-        Octokit.Response<Octokit.GitGetTagResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns a single tree using the SHA1 value for that tree.
-     *
-     * If `truncated` is `true` in the response then the number of items in the `tree` array exceeded our maximum limit. If you need to fetch more items, you can clone the repository and iterate over the Git data locally.
-     */
-    getTree: {
-      (params?: Octokit.RequestOptions & Octokit.GitGetTreeParams): Promise<
-        Octokit.Response<Octokit.GitGetTreeResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns an array of references from your Git database that match the supplied name. The `:ref` in the URL must be formatted as `heads/<branch name>` for branches and `tags/<tag name>` for tags. If the `:ref` doesn't exist in the repository, but existing refs start with `:ref`, they will be returned as an array.
-     *
-     * When you use this endpoint without providing a `:ref`, it will return an array of all the references from your Git database, including notes and stashes if they exist on the server. Anything in the namespace is returned, not just `heads` and `tags`.
-     *
-     * **Note:** You need to explicitly [request a pull request](https://developer.github.com/v3/pulls/#get-a-single-pull-request) to trigger a test merge commit, which checks the mergeability of pull requests. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
-     *
-     * If you request matching references for a branch named `feature` but the branch `feature` doesn't exist, the response can still include other matching head refs that start with the word `feature`, such as `featureA` and `featureB`.
-     */
-    listMatchingRefs: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GitListMatchingRefsParams
-      ): Promise<Octokit.Response<Octokit.GitListMatchingRefsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns an array of all the references from your Git database, including notes and stashes if they exist on the server. Anything in the namespace is returned, not just `heads` and `tags`. If there are no references to list, a `404` is returned.
-     */
-    listRefs: {
-      (params?: Octokit.RequestOptions & Octokit.GitListRefsParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateRef: {
-      (params?: Octokit.RequestOptions & Octokit.GitUpdateRefParams): Promise<
-        Octokit.Response<Octokit.GitUpdateRefResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  gitignore: {
-    /**
-     * The API also allows fetching the source of a single template.
-     *
-     * Use the raw [media type](https://developer.github.com/v3/media/) to get the raw contents.
-     */
-    getTemplate: {
-      (
-        params?: Octokit.RequestOptions & Octokit.GitignoreGetTemplateParams
-      ): Promise<Octokit.Response<Octokit.GitignoreGetTemplateResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all templates available to pass as an option when [creating a repository](https://developer.github.com/v3/repos/#create).
-     */
-    listTemplates: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.GitignoreListTemplatesResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  interactions: {
-    /**
-     * Temporarily restricts interactions to certain GitHub users in any public repository in the given organization. You must be an organization owner to set these restrictions.
-     */
-    addOrUpdateRestrictionsForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.InteractionsAddOrUpdateRestrictionsForOrgParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.InteractionsAddOrUpdateRestrictionsForOrgResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Temporarily restricts interactions to certain GitHub users within the given repository. You must have owner or admin access to set restrictions.
-     */
-    addOrUpdateRestrictionsForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.InteractionsAddOrUpdateRestrictionsForRepoParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.InteractionsAddOrUpdateRestrictionsForRepoResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Shows which group of GitHub users can interact with this organization and when the restriction expires. If there are no restrictions, you will see an empty response.
-     */
-    getRestrictionsForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.InteractionsGetRestrictionsForOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.InteractionsGetRestrictionsForOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Shows which group of GitHub users can interact with this repository and when the restriction expires. If there are no restrictions, you will see an empty response.
-     */
-    getRestrictionsForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.InteractionsGetRestrictionsForRepoParams
-      ): Promise<
-        Octokit.Response<Octokit.InteractionsGetRestrictionsForRepoResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removes all interaction restrictions from public repositories in the given organization. You must be an organization owner to remove restrictions.
-     */
-    removeRestrictionsForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.InteractionsRemoveRestrictionsForOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removes all interaction restrictions from the given repository. You must have owner or admin access to remove restrictions.
-     */
-    removeRestrictionsForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.InteractionsRemoveRestrictionsForRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  issues: {
-    /**
-     * Adds up to 10 assignees to an issue. Users already assigned to an issue are not replaced.
-     *
-     * This example adds two assignees to the existing `octocat` assignee.
-     */
-    addAssignees: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesAddAssigneesParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesAddAssigneesResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesAddAssigneesParams
-      ): Promise<Octokit.Response<Octokit.IssuesAddAssigneesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    addLabels: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesAddLabelsParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesAddLabelsResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesAddLabelsParams
-      ): Promise<Octokit.Response<Octokit.IssuesAddLabelsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Checks if a user has permission to be assigned to an issue in this repository.
-     *
-     * If the `assignee` can be assigned to issues in the repository, a `204` header with no content is returned.
-     *
-     * Otherwise a `404` status code is returned.
-     */
-    checkAssignee: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesCheckAssigneeParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Any user with pull access to a repository can create an issue. If [issues are disabled in the repository](https://help.github.com/articles/disabling-issues/), the API returns a `410 Gone` status.
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    create: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesCreateParamsDeprecatedAssignee
-      ): Promise<Octokit.Response<Octokit.IssuesCreateResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.IssuesCreateParams): Promise<
-        Octokit.Response<Octokit.IssuesCreateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    createComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesCreateCommentParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesCreateCommentResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesCreateCommentParams
-      ): Promise<Octokit.Response<Octokit.IssuesCreateCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    createLabel: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesCreateLabelParams
-      ): Promise<Octokit.Response<Octokit.IssuesCreateLabelResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    createMilestone: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesCreateMilestoneParams
-      ): Promise<Octokit.Response<Octokit.IssuesCreateMilestoneResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesDeleteCommentParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteLabel: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesDeleteLabelParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteMilestone: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesDeleteMilestoneParamsDeprecatedNumber
-      ): Promise<Octokit.AnyResponse>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesDeleteMilestoneParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The API returns a [`301 Moved Permanently` status](https://developer.github.com/v3/#http-redirects) if the issue was [transferred](https://help.github.com/articles/transferring-an-issue-to-another-repository/) to another repository. If the issue was transferred to or deleted from a repository where the authenticated user lacks read access, the API returns a `404 Not Found` status. If the issue was deleted from a repository where the authenticated user has read access, the API returns a `410 Gone` status. To receive webhook events for transferred and deleted issues, subscribe to the [`issues`](https://developer.github.com/v3/activity/events/types/#issuesevent) webhook.
-     *
-     * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-     *
-     * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-     */
-    get: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesGetParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesGetResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.IssuesGetParams): Promise<
-        Octokit.Response<Octokit.IssuesGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesGetCommentParams
-      ): Promise<Octokit.Response<Octokit.IssuesGetCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getEvent: {
-      (params?: Octokit.RequestOptions & Octokit.IssuesGetEventParams): Promise<
-        Octokit.Response<Octokit.IssuesGetEventResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getLabel: {
-      (params?: Octokit.RequestOptions & Octokit.IssuesGetLabelParams): Promise<
-        Octokit.Response<Octokit.IssuesGetLabelResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getMilestone: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesGetMilestoneParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesGetMilestoneResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesGetMilestoneParams
-      ): Promise<Octokit.Response<Octokit.IssuesGetMilestoneResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-     *
-     * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-     */
-    list: {
-      (params?: Octokit.RequestOptions & Octokit.IssuesListParams): Promise<
-        Octokit.Response<Octokit.IssuesListResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the [available assignees](https://help.github.com/articles/assigning-issues-and-pull-requests-to-other-github-users/) for issues in a repository.
-     */
-    listAssignees: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesListAssigneesParams
-      ): Promise<Octokit.Response<Octokit.IssuesListAssigneesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Issue Comments are ordered by ascending ID.
-     */
-    listComments: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListCommentsParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesListCommentsResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesListCommentsParams
-      ): Promise<Octokit.Response<Octokit.IssuesListCommentsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * By default, Issue Comments are ordered by ascending ID.
-     */
-    listCommentsForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListCommentsForRepoParams
-      ): Promise<Octokit.Response<Octokit.IssuesListCommentsForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listEvents: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListEventsParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesListEventsResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesListEventsParams
-      ): Promise<Octokit.Response<Octokit.IssuesListEventsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listEventsForRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesListEventsForRepoParams
-      ): Promise<Octokit.Response<Octokit.IssuesListEventsForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listEventsForTimeline: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListEventsForTimelineParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesListEventsForTimelineResponse>>;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListEventsForTimelineParams
-      ): Promise<Octokit.Response<Octokit.IssuesListEventsForTimelineResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-     *
-     * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-     */
-    listForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.IssuesListForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-     *
-     * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-     */
-    listForOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesListForOrgParams
-      ): Promise<Octokit.Response<Octokit.IssuesListForOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-     *
-     * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-     */
-    listForRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesListForRepoParams
-      ): Promise<Octokit.Response<Octokit.IssuesListForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listLabelsForMilestone: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListLabelsForMilestoneParamsDeprecatedNumber
-      ): Promise<
-        Octokit.Response<Octokit.IssuesListLabelsForMilestoneResponse>
-      >;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListLabelsForMilestoneParams
-      ): Promise<
-        Octokit.Response<Octokit.IssuesListLabelsForMilestoneResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listLabelsForRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesListLabelsForRepoParams
-      ): Promise<Octokit.Response<Octokit.IssuesListLabelsForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listLabelsOnIssue: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListLabelsOnIssueParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesListLabelsOnIssueResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesListLabelsOnIssueParams
-      ): Promise<Octokit.Response<Octokit.IssuesListLabelsOnIssueResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listMilestonesForRepo: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesListMilestonesForRepoParams
-      ): Promise<Octokit.Response<Octokit.IssuesListMilestonesForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with push access can lock an issue or pull request's conversation.
-     *
-     * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    lock: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesLockParamsDeprecatedNumber
-      ): Promise<Octokit.AnyResponse>;
-      (params?: Octokit.RequestOptions & Octokit.IssuesLockParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removes one or more assignees from an issue.
-     *
-     * This example removes two of three assignees, leaving the `octocat` assignee.
-     */
-    removeAssignees: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesRemoveAssigneesParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesRemoveAssigneesResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesRemoveAssigneesParams
-      ): Promise<Octokit.Response<Octokit.IssuesRemoveAssigneesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removes the specified label from the issue, and returns the remaining labels on the issue. This endpoint returns a `404 Not Found` status if the label does not exist.
-     */
-    removeLabel: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesRemoveLabelParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesRemoveLabelResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesRemoveLabelParams
-      ): Promise<Octokit.Response<Octokit.IssuesRemoveLabelResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    removeLabels: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesRemoveLabelsParamsDeprecatedNumber
-      ): Promise<Octokit.AnyResponse>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesRemoveLabelsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    replaceLabels: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesReplaceLabelsParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesReplaceLabelsResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesReplaceLabelsParams
-      ): Promise<Octokit.Response<Octokit.IssuesReplaceLabelsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with push access can unlock an issue's conversation.
-     */
-    unlock: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesUnlockParamsDeprecatedNumber
-      ): Promise<Octokit.AnyResponse>;
-      (params?: Octokit.RequestOptions & Octokit.IssuesUnlockParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Issue owners and users with push access can edit an issue.
-     */
-    update: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesUpdateParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesUpdateResponse>>;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesUpdateParamsDeprecatedAssignee
-      ): Promise<Octokit.Response<Octokit.IssuesUpdateResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.IssuesUpdateParams): Promise<
-        Octokit.Response<Octokit.IssuesUpdateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesUpdateCommentParams
-      ): Promise<Octokit.Response<Octokit.IssuesUpdateCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateLabel: {
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesUpdateLabelParams
-      ): Promise<Octokit.Response<Octokit.IssuesUpdateLabelResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateMilestone: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.IssuesUpdateMilestoneParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.IssuesUpdateMilestoneResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.IssuesUpdateMilestoneParams
-      ): Promise<Octokit.Response<Octokit.IssuesUpdateMilestoneResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  licenses: {
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.LicensesGetParams): Promise<
-        Octokit.Response<Octokit.LicensesGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This method returns the contents of the repository's license file, if one is detected.
-     *
-     * Similar to [the repository contents API](https://developer.github.com/v3/repos/contents/#get-contents), this method also supports [custom media types](https://developer.github.com/v3/repos/contents/#custom-media-types) for retrieving the raw license content or rendered license HTML.
-     */
-    getForRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.LicensesGetForRepoParams
-      ): Promise<Octokit.Response<Octokit.LicensesGetForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * @deprecated octokit.licenses.list() has been renamed to octokit.licenses.listCommonlyUsed() (2019-03-05)
-     */
-    list: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.LicensesListResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listCommonlyUsed: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.LicensesListCommonlyUsedResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  markdown: {
-    render: {
-      (params?: Octokit.RequestOptions & Octokit.MarkdownRenderParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You must send Markdown as plain text (using a `Content-Type` header of `text/plain` or `text/x-markdown`) to this endpoint, rather than using JSON format. In raw mode, [GitHub Flavored Markdown](https://github.github.com/gfm/) is not supported and Markdown will be rendered in plain format like a README.md file. Markdown content must be 400 KB or less.
-     */
-    renderRaw: {
-      (
-        params?: Octokit.RequestOptions & Octokit.MarkdownRenderRawParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  meta: {
-    /**
-     * This endpoint provides a list of GitHub's IP addresses. For more information, see "[About GitHub's IP addresses](https://help.github.com/articles/about-github-s-ip-addresses/)."
-     */
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.MetaGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  migrations: {
-    /**
-     * Stop an import for a repository.
-     */
-    cancelImport: {
-      (
-        params?: Octokit.RequestOptions & Octokit.MigrationsCancelImportParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deletes a previous migration archive. Downloadable migration archives are automatically deleted after seven days. Migration metadata, which is returned in the [List user migrations](https://developer.github.com/v3/migrations/users/#list-user-migrations) and [Get the status of a user migration](https://developer.github.com/v3/migrations/users/#get-the-status-of-a-user-migration) endpoints, will continue to be available even after an archive is deleted.
-     */
-    deleteArchiveForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsDeleteArchiveForAuthenticatedUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deletes a previous migration archive. Migration archives are automatically deleted after seven days.
-     */
-    deleteArchiveForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsDeleteArchiveForOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Fetches the URL to a migration archive.
-     */
-    downloadArchiveForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsDownloadArchiveForOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Fetches the URL to download the migration archive as a `tar.gz` file. Depending on the resources your repository uses, the migration archive can contain JSON files with data for these objects:
-     *
-     * *   attachments
-     * *   bases
-     * *   commit\_comments
-     * *   issue\_comments
-     * *   issue\_events
-     * *   issues
-     * *   milestones
-     * *   organizations
-     * *   projects
-     * *   protected\_branches
-     * *   pull\_request\_reviews
-     * *   pull\_requests
-     * *   releases
-     * *   repositories
-     * *   review\_comments
-     * *   schema
-     * *   users
-     *
-     * The archive will also contain an `attachments` directory that includes all attachment files uploaded to GitHub.com and a `repositories` directory that contains the repository's Git data.
-     */
-    getArchiveForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsGetArchiveForAuthenticatedUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Fetches the URL to a migration archive.
-     *
-     *
-     * @deprecated octokit.migrations.getArchiveForOrg() has been renamed to octokit.migrations.downloadArchiveForOrg() (2020-01-27)
-     */
-    getArchiveForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsGetArchiveForOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Each type of source control system represents authors in a different way. For example, a Git commit author has a display name and an email address, but a Subversion commit author just has a username. The GitHub Importer will make the author information valid, but the author might not be correct. For example, it will change the bare Subversion username `hubot` into something like `hubot <hubot@12341234-abab-fefe-8787-fedcba987654>`.
-     *
-     * This API method and the "Map a commit author" method allow you to provide correct Git author information.
-     */
-    getCommitAuthors: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsGetCommitAuthorsParams
-      ): Promise<Octokit.Response<Octokit.MigrationsGetCommitAuthorsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * View the progress of an import.
-     *
-     * **Import status**
-     *
-     * This section includes details about the possible values of the `status` field of the Import Progress response.
-     *
-     * An import that does not have errors will progress through these steps:
-     *
-     * *   `detecting` - the "detection" step of the import is in progress because the request did not include a `vcs` parameter. The import is identifying the type of source control present at the URL.
-     * *   `importing` - the "raw" step of the import is in progress. This is where commit data is fetched from the original repository. The import progress response will include `commit_count` (the total number of raw commits that will be imported) and `percent` (0 - 100, the current progress through the import).
-     * *   `mapping` - the "rewrite" step of the import is in progress. This is where SVN branches are converted to Git branches, and where author updates are applied. The import progress response does not include progress information.
-     * *   `pushing` - the "push" step of the import is in progress. This is where the importer updates the repository on GitHub. The import progress response will include `push_percent`, which is the percent value reported by `git push` when it is "Writing objects".
-     * *   `complete` - the import is complete, and the repository is ready on GitHub.
-     *
-     * If there are problems, you will see one of these in the `status` field:
-     *
-     * *   `auth_failed` - the import requires authentication in order to connect to the original repository. To update authentication for the import, please see the [Update Existing Import](https://developer.github.com/v3/migrations/source_imports/#update-existing-import) section.
-     * *   `error` - the import encountered an error. The import progress response will include the `failed_step` and an error message. Contact [GitHub Support](https://github.com/contact) or [GitHub Premium Support](https://premium.githubsupport.com) for more information.
-     * *   `detection_needs_auth` - the importer requires authentication for the originating repository to continue detection. To update authentication for the import, please see the [Update Existing Import](https://developer.github.com/v3/migrations/source_imports/#update-existing-import) section.
-     * *   `detection_found_nothing` - the importer didn't recognize any source control at the URL. To resolve, [Cancel the import](https://developer.github.com/v3/migrations/source_imports/#cancel-an-import) and [retry](https://developer.github.com/v3/migrations/source_imports/#start-an-import) with the correct URL.
-     * *   `detection_found_multiple` - the importer found several projects or repositories at the provided URL. When this is the case, the Import Progress response will also include a `project_choices` field with the possible project choices as values. To update project choice, please see the [Update Existing Import](https://developer.github.com/v3/migrations/source_imports/#update-existing-import) section.
-     *
-     * **The project_choices field**
-     *
-     * When multiple projects are found at the provided URL, the response hash will include a `project_choices` field, the value of which is an array of hashes each representing a project choice. The exact key/value pairs of the project hashes will differ depending on the version control type.
-     *
-     * **Git LFS related fields**
-     *
-     * This section includes details about Git LFS related fields that may be present in the Import Progress response.
-     *
-     * *   `use_lfs` - describes whether the import has been opted in or out of using Git LFS. The value can be `opt_in`, `opt_out`, or `undecided` if no action has been taken.
-     * *   `has_large_files` - the boolean value describing whether files larger than 100MB were found during the `importing` step.
-     * *   `large_files_size` - the total size in gigabytes of files larger than 100MB found in the originating repository.
-     * *   `large_files_count` - the total number of files larger than 100MB found in the originating repository. To see a list of these files, make a "Get Large Files" request.
-     */
-    getImportProgress: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsGetImportProgressParams
-      ): Promise<Octokit.Response<Octokit.MigrationsGetImportProgressResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List files larger than 100MB found during the import
-     */
-    getLargeFiles: {
-      (
-        params?: Octokit.RequestOptions & Octokit.MigrationsGetLargeFilesParams
-      ): Promise<Octokit.Response<Octokit.MigrationsGetLargeFilesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Fetches a single user migration. The response includes the `state` of the migration, which can be one of the following values:
-     *
-     * *   `pending` - the migration hasn't started yet.
-     * *   `exporting` - the migration is in progress.
-     * *   `exported` - the migration finished successfully.
-     * *   `failed` - the migration failed.
-     *
-     * Once the migration has been `exported` you can [download the migration archive](https://developer.github.com/v3/migrations/users/#download-a-user-migration-archive).
-     */
-    getStatusForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsGetStatusForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.MigrationsGetStatusForAuthenticatedUserResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Fetches the status of a migration.
-     *
-     * The `state` of a migration can be one of the following values:
-     *
-     * *   `pending`, which means the migration hasn't started yet.
-     * *   `exporting`, which means the migration is in progress.
-     * *   `exported`, which means the migration finished successfully.
-     * *   `failed`, which means the migration failed.
-     */
-    getStatusForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsGetStatusForOrgParams
-      ): Promise<Octokit.Response<Octokit.MigrationsGetStatusForOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all migrations a user has started.
-     */
-    listForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsListForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.MigrationsListForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the most recent migrations.
-     */
-    listForOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.MigrationsListForOrgParams
-      ): Promise<Octokit.Response<Octokit.MigrationsListForOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all the repositories for this organization migration.
-     */
-    listReposForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsListReposForOrgParams
-      ): Promise<Octokit.Response<Octokit.MigrationsListReposForOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all the repositories for this user migration.
-     */
-    listReposForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsListReposForUserParams
-      ): Promise<Octokit.Response<Octokit.MigrationsListReposForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Update an author's identity for the import. Your application can continue updating authors any time before you push new commits to the repository.
-     */
-    mapCommitAuthor: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsMapCommitAuthorParams
-      ): Promise<Octokit.Response<Octokit.MigrationsMapCommitAuthorResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You can import repositories from Subversion, Mercurial, and TFS that include files larger than 100MB. This ability is powered by [Git LFS](https://git-lfs.github.com). You can learn more about our LFS feature and working with large files [on our help site](https://help.github.com/articles/versioning-large-files/).
-     */
-    setLfsPreference: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsSetLfsPreferenceParams
-      ): Promise<Octokit.Response<Octokit.MigrationsSetLfsPreferenceResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Initiates the generation of a user migration archive.
-     */
-    startForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsStartForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.MigrationsStartForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Initiates the generation of a migration archive.
-     */
-    startForOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.MigrationsStartForOrgParams
-      ): Promise<Octokit.Response<Octokit.MigrationsStartForOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Start a source import to a GitHub repository using GitHub Importer.
-     */
-    startImport: {
-      (
-        params?: Octokit.RequestOptions & Octokit.MigrationsStartImportParams
-      ): Promise<Octokit.Response<Octokit.MigrationsStartImportResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Unlocks a repository. You can lock repositories when you [start a user migration](https://developer.github.com/v3/migrations/users/#start-a-user-migration). Once the migration is complete you can unlock each repository to begin using it again or [delete the repository](https://developer.github.com/v3/repos/#delete-a-repository) if you no longer need the source data. Returns a status of `404 Not Found` if the repository is not locked.
-     */
-    unlockRepoForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsUnlockRepoForAuthenticatedUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Unlocks a repository that was locked for migration. You should unlock each migrated repository and [delete them](https://developer.github.com/v3/repos/#delete-a-repository) when the migration is complete and you no longer need the source data.
-     */
-    unlockRepoForOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.MigrationsUnlockRepoForOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * An import can be updated with credentials or a project choice by passing in the appropriate parameters in this API request. If no parameters are provided, the import will be restarted.
-     *
-     * Some servers (e.g. TFS servers) can have several projects at a single URL. In those cases the import progress will have the status `detection_found_multiple` and the Import Progress response will include a `project_choices` array. You can select the project to import by providing one of the objects in the `project_choices` array in the update request.
-     *
-     * The following example demonstrates the workflow for updating an import with "project1" as the project choice. Given a `project_choices` array like such:
-     *
-     * To restart an import, no parameters are provided in the update request.
-     */
-    updateImport: {
-      (
-        params?: Octokit.RequestOptions & Octokit.MigrationsUpdateImportParams
-      ): Promise<Octokit.Response<Octokit.MigrationsUpdateImportResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  oauthAuthorizations: {
-    /**
-     * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * OAuth applications can use a special API method for checking OAuth token validity without exceeding the normal rate limits for failed login attempts. Authentication works differently with this particular endpoint. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-     * @deprecated octokit.oauthAuthorizations.checkAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization
-     */
-    checkAuthorization: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsCheckAuthorizationParams
-      ): Promise<
-        Octokit.Response<Octokit.OauthAuthorizationsCheckAuthorizationResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * **Warning:** Apps must use the [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow) to obtain OAuth tokens that work with GitHub SAML organizations. OAuth tokens created using the Authorizations API will be unable to access GitHub SAML organizations. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * Creates OAuth tokens using [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication). If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-     *
-     * To create tokens for a particular OAuth application using this endpoint, you must authenticate as the user you want to create an authorization for and provide the app's client ID and secret, found on your OAuth application's settings page. If your OAuth application intends to create multiple tokens for one user, use `fingerprint` to differentiate between them.
-     *
-     * You can also create tokens on GitHub from the [personal access tokens settings](https://github.com/settings/tokens) page. Read more about these tokens in [the GitHub Help documentation](https://help.github.com/articles/creating-an-access-token-for-command-line-use).
-     *
-     * Organizations that enforce SAML SSO require personal access tokens to be whitelisted. Read more about whitelisting tokens in [the GitHub Help documentation](https://help.github.com/articles/about-identity-and-access-management-with-saml-single-sign-on).
-     * @deprecated octokit.oauthAuthorizations.createAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization
-     */
-    createAuthorization: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsCreateAuthorizationParams
-      ): Promise<
-        Octokit.Response<Octokit.OauthAuthorizationsCreateAuthorizationResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     * @deprecated octokit.oauthAuthorizations.deleteAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization
-     */
-    deleteAuthorization: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsDeleteAuthorizationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for your user. Once deleted, the application has no access to your account and is no longer listed on [the application authorizations settings screen within GitHub](https://github.com/settings/applications#authorized).
-     * @deprecated octokit.oauthAuthorizations.deleteGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#delete-a-grant
-     */
-    deleteGrant: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsDeleteGrantParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     * @deprecated octokit.oauthAuthorizations.getAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization
-     */
-    getAuthorization: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsGetAuthorizationParams
-      ): Promise<
-        Octokit.Response<Octokit.OauthAuthorizationsGetAuthorizationResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     * @deprecated octokit.oauthAuthorizations.getGrant() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant
-     */
-    getGrant: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsGetGrantParams
-      ): Promise<Octokit.Response<Octokit.OauthAuthorizationsGetGrantResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * **Warning:** Apps must use the [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow) to obtain OAuth tokens that work with GitHub SAML organizations. OAuth tokens created using the Authorizations API will be unable to access GitHub SAML organizations. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * Creates a new authorization for the specified OAuth application, only if an authorization for that application doesn't already exist for the user. The URL includes the 20 character client ID for the OAuth app that is requesting the token. It returns the user's existing authorization for the application if one is present. Otherwise, it creates and returns a new one.
-     *
-     * If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-     *
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     * @deprecated octokit.oauthAuthorizations.getOrCreateAuthorizationForApp() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app
-     */
-    getOrCreateAuthorizationForApp: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsGetOrCreateAuthorizationForAppParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.OauthAuthorizationsGetOrCreateAuthorizationForAppResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * **Warning:** Apps must use the [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow) to obtain OAuth tokens that work with GitHub SAML organizations. OAuth tokens created using the Authorizations API will be unable to access GitHub SAML organizations. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * This method will create a new authorization for the specified OAuth application, only if an authorization for that application and fingerprint do not already exist for the user. The URL includes the 20 character client ID for the OAuth app that is requesting the token. `fingerprint` is a unique string to distinguish an authorization from others created for the same client ID and user. It returns the user's existing authorization for the application if one is present. Otherwise, it creates and returns a new one.
-     *
-     * If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-     * @deprecated octokit.oauthAuthorizations.getOrCreateAuthorizationForAppAndFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint
-     */
-    getOrCreateAuthorizationForAppAndFingerprint: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * **Warning:** Apps must use the [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow) to obtain OAuth tokens that work with GitHub SAML organizations. OAuth tokens created using the Authorizations API will be unable to access GitHub SAML organizations. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * This method will create a new authorization for the specified OAuth application, only if an authorization for that application and fingerprint do not already exist for the user. The URL includes the 20 character client ID for the OAuth app that is requesting the token. `fingerprint` is a unique string to distinguish an authorization from others created for the same client ID and user. It returns the user's existing authorization for the application if one is present. Otherwise, it creates and returns a new one.
-     *
-     * If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-     * @deprecated octokit.oauthAuthorizations.getOrCreateAuthorizationForAppFingerprint() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint
-     */
-    getOrCreateAuthorizationForAppFingerprint: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     * @deprecated octokit.oauthAuthorizations.listAuthorizations() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations
-     */
-    listAuthorizations: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsListAuthorizationsParams
-      ): Promise<
-        Octokit.Response<Octokit.OauthAuthorizationsListAuthorizationsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * You can use this API to list the set of OAuth applications that have been granted access to your account. Unlike the [list your authorizations](https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations) API, this API does not manage individual tokens. This API will return one entry for each OAuth application that has been granted access to your account, regardless of the number of tokens an application has generated for your user. The list of OAuth applications returned matches what is shown on [the application authorizations settings screen within GitHub](https://github.com/settings/applications#authorized). The `scopes` returned are the union of scopes authorized for the application. For example, if an application has one token with `repo` scope and another token with `user` scope, the grant will return `["repo", "user"]`.
-     * @deprecated octokit.oauthAuthorizations.listGrants() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#list-your-grants
-     */
-    listGrants: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsListGrantsParams
-      ): Promise<
-        Octokit.Response<Octokit.OauthAuthorizationsListGrantsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * OAuth applications can use this API method to reset a valid OAuth token without end-user involvement. Applications must save the "token" property in the response because changes take effect immediately. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. Invalid tokens will return `404 NOT FOUND`.
-     * @deprecated octokit.oauthAuthorizations.resetAuthorization() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization
-     */
-    resetAuthorization: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsResetAuthorizationParams
-      ): Promise<
-        Octokit.Response<Octokit.OauthAuthorizationsResetAuthorizationResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * OAuth application owners can revoke a single token for an OAuth application. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password.
-     * @deprecated octokit.oauthAuthorizations.revokeAuthorizationForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application
-     */
-    revokeAuthorizationForApplication: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsRevokeAuthorizationForApplicationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will replace and discontinue OAuth endpoints containing `access_token` in the path parameter. We are introducing new endpoints that allow you to securely manage tokens for OAuth Apps by using `access_token` as an input parameter. For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * OAuth application owners can revoke a grant for their OAuth application and a specific user. You must use [Basic Authentication](https://developer.github.com/v3/auth#basic-authentication) when accessing this endpoint, using the OAuth application's `client_id` and `client_secret` as the username and password. You must also provide a valid token as `:access_token` and the grant for the token's owner will be deleted.
-     *
-     * Deleting an OAuth application's grant will also delete all OAuth tokens associated with the application for the user. Once deleted, the application will have no access to the user's account and will no longer be listed on [the Applications settings page under "Authorized OAuth Apps" on GitHub](https://github.com/settings/applications#authorized).
-     * @deprecated octokit.oauthAuthorizations.revokeGrantForApplication() is deprecated, see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application
-     */
-    revokeGrantForApplication: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsRevokeGrantForApplicationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** GitHub will discontinue the [OAuth Authorizations API](https://developer.github.com/v3/oauth_authorizations/), which is used by integrations to create personal access tokens and OAuth tokens, and you must now create these tokens using our [web application flow](https://developer.github.com/apps/building-oauth-apps/authorizing-oauth-apps/#web-application-flow). For more information, see the [blog post](https://developer.github.com/changes/2019-11-05-deprecated-passwords-and-authorizations-api).
-     *
-     * If you have two-factor authentication setup, Basic Authentication for this endpoint requires that you use a one-time password (OTP) and your username and password instead of tokens. For more information, see "[Working with two-factor authentication](https://developer.github.com/v3/auth/#working-with-two-factor-authentication)."
-     *
-     * You can only send one of these scope keys at a time.
-     * @deprecated octokit.oauthAuthorizations.updateAuthorization() is deprecated, see https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization
-     */
-    updateAuthorization: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OauthAuthorizationsUpdateAuthorizationParams
-      ): Promise<
-        Octokit.Response<Octokit.OauthAuthorizationsUpdateAuthorizationResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  orgs: {
-    /**
-     * Only authenticated organization owners can add a member to the organization or update the member's role.
-     *
-     * *   If the authenticated user is _adding_ a member to the organization, the invited user will receive an email inviting them to the organization. The user's [membership status](https://developer.github.com/v3/orgs/members/#get-organization-membership) will be `pending` until they accept the invitation.
-     *
-     * *   Authenticated users can _update_ a user's membership by passing the `role` parameter. If the authenticated user changes a member's role to `admin`, the affected user will receive an email notifying them that they've been made an organization owner. If the authenticated user changes an owner's role to `member`, no email will be sent.
-     *
-     * **Rate limits**
-     *
-     * To prevent abuse, the authenticated user is limited to 50 organization invitations per 24 hour period. If the organization is more than one month old or on a paid plan, the limit is 500 invitations per 24 hour period.
-     */
-    addOrUpdateMembership: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsAddOrUpdateMembershipParams
-      ): Promise<Octokit.Response<Octokit.OrgsAddOrUpdateMembershipResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    blockUser: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsBlockUserParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * If the user is blocked:
-     *
-     * If the user is not blocked:
-     */
-    checkBlockedUser: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsCheckBlockedUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Check if a user is, publicly or privately, a member of the organization.
-     */
-    checkMembership: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsCheckMembershipParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    checkPublicMembership: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsCheckPublicMembershipParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    concealMembership: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsConcealMembershipParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * When an organization member is converted to an outside collaborator, they'll only have access to the repositories that their current team membership allows. The user will no longer be a member of the organization. For more information, see "[Converting an organization member to an outside collaborator](https://help.github.com/articles/converting-an-organization-member-to-an-outside-collaborator/)".
-     */
-    convertMemberToOutsideCollaborator: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsConvertMemberToOutsideCollaboratorParams
-      ): Promise<
-        Octokit.Response<Octokit.OrgsConvertMemberToOutsideCollaboratorResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Here's how you can create a hook that posts payloads in JSON format:
-     */
-    createHook: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsCreateHookParams): Promise<
-        Octokit.Response<Octokit.OrgsCreateHookResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Invite people to an organization by using their GitHub user ID or their email address. In order to create invitations in an organization, the authenticated user must be an organization owner.
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    createInvitation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsCreateInvitationParams
-      ): Promise<Octokit.Response<Octokit.OrgsCreateInvitationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteHook: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsDeleteHookParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * To see many of the organization response values, you need to be an authenticated organization owner with the `admin:org` scope. When the value of `two_factor_requirement_enabled` is `true`, the organization requires all members, billing managers, and outside collaborators to enable [two-factor authentication](https://help.github.com/articles/securing-your-account-with-two-factor-authentication-2fa/).
-     *
-     * GitHub Apps with the `Organization plan` permission can use this endpoint to retrieve information about an organization's GitHub plan. See "[Authenticating with GitHub Apps](https://developer.github.com/apps/building-github-apps/authenticating-with-github-apps/)" for details. For an example response, see "[Response with GitHub plan information](https://developer.github.com/v3/orgs/#response-with-github-plan-information)."
-     */
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsGetParams): Promise<
-        Octokit.Response<Octokit.OrgsGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getHook: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsGetHookParams): Promise<
-        Octokit.Response<Octokit.OrgsGetHookResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * In order to get a user's membership with an organization, the authenticated user must be an organization member.
-     */
-    getMembership: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsGetMembershipParams
-      ): Promise<Octokit.Response<Octokit.OrgsGetMembershipResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getMembershipForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsGetMembershipForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.OrgsGetMembershipForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all organizations, in the order that they were created on GitHub.
-     *
-     * **Note:** Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of organizations.
-     */
-    list: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsListParams): Promise<
-        Octokit.Response<Octokit.OrgsListResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the users blocked by an organization.
-     */
-    listBlockedUsers: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsListBlockedUsersParams
-      ): Promise<Octokit.Response<Octokit.OrgsListBlockedUsersResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List organizations for the authenticated user.
-     *
-     * **OAuth scope requirements**
-     *
-     * This only lists organizations that your authorization allows you to operate on in some way (e.g., you can list teams with `read:org` scope, you can publicize your organization membership with `user` scope, etc.). Therefore, this API requires at least `user` or `read:org` scope. OAuth requests with insufficient scope receive a `403 Forbidden` response.
-     */
-    listForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsListForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.OrgsListForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List [public organization memberships](https://help.github.com/articles/publicizing-or-concealing-organization-membership) for the specified user.
-     *
-     * This method only lists _public_ memberships, regardless of authentication. If you need to fetch all of the organization memberships (public and private) for the authenticated user, use the [List your organizations](https://developer.github.com/v3/orgs/#list-your-organizations) API instead.
-     */
-    listForUser: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsListForUserParams
-      ): Promise<Octokit.Response<Octokit.OrgsListForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listHooks: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsListHooksParams): Promise<
-        Octokit.Response<Octokit.OrgsListHooksResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all GitHub Apps in an organization. The installation count includes all GitHub Apps installed on repositories in the organization. You must be an organization owner with `admin:read` scope to use this endpoint.
-     */
-    listInstallations: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsListInstallationsParams
-      ): Promise<Octokit.Response<Octokit.OrgsListInstallationsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all teams associated with an invitation. In order to see invitations in an organization, the authenticated user must be an organization owner.
-     */
-    listInvitationTeams: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsListInvitationTeamsParams
-      ): Promise<Octokit.Response<Octokit.OrgsListInvitationTeamsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all users who are members of an organization. If the authenticated user is also a member of this organization then both concealed and public members will be returned.
-     */
-    listMembers: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsListMembersParams
-      ): Promise<Octokit.Response<Octokit.OrgsListMembersResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listMemberships: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsListMembershipsParams
-      ): Promise<Octokit.Response<Octokit.OrgsListMembershipsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all users who are outside collaborators of an organization.
-     */
-    listOutsideCollaborators: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsListOutsideCollaboratorsParams
-      ): Promise<
-        Octokit.Response<Octokit.OrgsListOutsideCollaboratorsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
-     */
-    listPendingInvitations: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsListPendingInvitationsParams
-      ): Promise<Octokit.Response<Octokit.OrgsListPendingInvitationsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Members of an organization can choose to have their membership publicized or not.
-     */
-    listPublicMembers: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsListPublicMembersParams
-      ): Promise<Octokit.Response<Octokit.OrgsListPublicMembersResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This will trigger a [ping event](https://developer.github.com/webhooks/#ping-event) to be sent to the hook.
-     */
-    pingHook: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsPingHookParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The user can publicize their own membership. (A user cannot publicize the membership for another user.)
-     *
-     * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     */
-    publicizeMembership: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsPublicizeMembershipParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removing a user from this list will remove them from all teams and they will no longer have any access to the organization's repositories.
-     */
-    removeMember: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsRemoveMemberParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * In order to remove a user's membership with an organization, the authenticated user must be an organization owner.
-     *
-     * If the specified user is an active member of the organization, this will remove them from the organization. If the specified user has been invited to the organization, this will cancel their invitation. The specified user will receive an email notification in both cases.
-     */
-    removeMembership: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsRemoveMembershipParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removing a user from this list will remove them from all the organization's repositories.
-     */
-    removeOutsideCollaborator: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsRemoveOutsideCollaboratorParams
-      ): Promise<
-        Octokit.Response<Octokit.OrgsRemoveOutsideCollaboratorResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    unblockUser: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsUnblockUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Parameter Deprecation Notice:** GitHub will replace and discontinue `members_allowed_repository_creation_type` in favor of more granular permissions. The new input parameters are `members_can_create_public_repositories`, `members_can_create_private_repositories` for all organizations and `members_can_create_internal_repositories` for organizations associated with an enterprise account using GitHub Enterprise Cloud. For more information, see the [blog post](https://developer.github.com/changes/2019-12-03-internal-visibility-changes).
-     *
-     * Enables an authenticated organization owner with the `admin:org` scope to update the organization's profile and member privileges.
-     */
-    update: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.OrgsUpdateParamsDeprecatedMembersAllowedRepositoryCreationType
-      ): Promise<Octokit.Response<Octokit.OrgsUpdateResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.OrgsUpdateParams): Promise<
-        Octokit.Response<Octokit.OrgsUpdateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateHook: {
-      (params?: Octokit.RequestOptions & Octokit.OrgsUpdateHookParams): Promise<
-        Octokit.Response<Octokit.OrgsUpdateHookResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateMembership: {
-      (
-        params?: Octokit.RequestOptions & Octokit.OrgsUpdateMembershipParams
-      ): Promise<Octokit.Response<Octokit.OrgsUpdateMembershipResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  projects: {
-    /**
-     * Adds a collaborator to a an organization project and sets their permission level. You must be an organization owner or a project `admin` to add a collaborator.
-     */
-    addCollaborator: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsAddCollaboratorParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: GitHub's REST API v3 considers every pull request an issue, but not every issue is a pull request. For this reason, "Issues" endpoints may return both issues and pull requests in the response. You can identify pull requests by the `pull_request` key.
-     *
-     * Be aware that the `id` of a pull request returned from "Issues" endpoints will be an _issue id_. To find out the pull request id, use the "[List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests)" endpoint.
-     */
-    createCard: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsCreateCardParams
-      ): Promise<Octokit.Response<Octokit.ProjectsCreateCardResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    createColumn: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsCreateColumnParams
-      ): Promise<Octokit.Response<Octokit.ProjectsCreateColumnResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    createForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ProjectsCreateForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.ProjectsCreateForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates an organization project board. Returns a `404 Not Found` status if projects are disabled in the organization. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-     */
-    createForOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsCreateForOrgParams
-      ): Promise<Octokit.Response<Octokit.ProjectsCreateForOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a repository project board. Returns a `404 Not Found` status if projects are disabled in the repository. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-     */
-    createForRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsCreateForRepoParams
-      ): Promise<Octokit.Response<Octokit.ProjectsCreateForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deletes a project board. Returns a `404 Not Found` status if projects are disabled.
-     */
-    delete: {
-      (params?: Octokit.RequestOptions & Octokit.ProjectsDeleteParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteCard: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsDeleteCardParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteColumn: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsDeleteColumnParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a project by its `id`. Returns a `404 Not Found` status if projects are disabled. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-     */
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.ProjectsGetParams): Promise<
-        Octokit.Response<Octokit.ProjectsGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getCard: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsGetCardParams
-      ): Promise<Octokit.Response<Octokit.ProjectsGetCardResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getColumn: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsGetColumnParams
-      ): Promise<Octokit.Response<Octokit.ProjectsGetColumnResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listCards: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsListCardsParams
-      ): Promise<Octokit.Response<Octokit.ProjectsListCardsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the collaborators for an organization project. For a project, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners. You must be an organization owner or a project `admin` to list collaborators.
-     */
-    listCollaborators: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ProjectsListCollaboratorsParams
-      ): Promise<Octokit.Response<Octokit.ProjectsListCollaboratorsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listColumns: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsListColumnsParams
-      ): Promise<Octokit.Response<Octokit.ProjectsListColumnsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the projects in an organization. Returns a `404 Not Found` status if projects are disabled in the organization. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-     *
-     * s
-     */
-    listForOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsListForOrgParams
-      ): Promise<Octokit.Response<Octokit.ProjectsListForOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the projects in a repository. Returns a `404 Not Found` status if projects are disabled in the repository. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-     */
-    listForRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsListForRepoParams
-      ): Promise<Octokit.Response<Octokit.ProjectsListForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listForUser: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsListForUserParams
-      ): Promise<Octokit.Response<Octokit.ProjectsListForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    moveCard: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsMoveCardParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    moveColumn: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsMoveColumnParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removes a collaborator from an organization project. You must be an organization owner or a project `admin` to remove a collaborator.
-     */
-    removeCollaborator: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ProjectsRemoveCollaboratorParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns the collaborator's permission level for an organization project. Possible values for the `permission` key: `admin`, `write`, `read`, `none`. You must be an organization owner or a project `admin` to review a user's permission level.
-     */
-    reviewUserPermissionLevel: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ProjectsReviewUserPermissionLevelParams
-      ): Promise<
-        Octokit.Response<Octokit.ProjectsReviewUserPermissionLevelResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Updates a project board's information. Returns a `404 Not Found` status if projects are disabled. If you do not have sufficient privileges to perform this action, a `401 Unauthorized` or `410 Gone` status is returned.
-     */
-    update: {
-      (params?: Octokit.RequestOptions & Octokit.ProjectsUpdateParams): Promise<
-        Octokit.Response<Octokit.ProjectsUpdateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateCard: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsUpdateCardParams
-      ): Promise<Octokit.Response<Octokit.ProjectsUpdateCardResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateColumn: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ProjectsUpdateColumnParams
-      ): Promise<Octokit.Response<Octokit.ProjectsUpdateColumnResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  pulls: {
-    checkIfMerged: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsCheckIfMergedParamsDeprecatedNumber
-      ): Promise<Octokit.AnyResponse>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsCheckIfMergedParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Draft pull requests are available in public repositories with GitHub Free and GitHub Pro, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To open or update a pull request in a public repository, you must have write access to the head or the source branch. For organization-owned repositories, you must be a member of the organization that owns the repository to open or update a pull request.
-     *
-     * You can create a new pull request.
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    create: {
-      (params?: Octokit.RequestOptions & Octokit.PullsCreateParams): Promise<
-        Octokit.Response<Octokit.PullsCreateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-     *
-     * Creates a review comment in the pull request diff. To add a regular comment to a pull request timeline, see "[Comments](https://developer.github.com/v3/issues/comments/#create-a-comment)." We recommend creating a review comment using `line`, `side`, and optionally `start_line` and `start_side` if your comment applies to more than one line in the pull request diff.
-     *
-     * You can still create a review comment using the `position` parameter. When you use `position`, the `line`, `side`, `start_line`, and `start_side` parameters are not required. For more information, see [Multi-line comment summary](https://developer.github.com/v3/pulls/comments/#multi-line-comment-summary-3).
-     *
-     * **Note:** The position value equals the number of lines down from the first "@@" hunk header in the file you want to add a comment. The line just below the "@@" line is position 1, the next line is position 2, and so on. The position in the diff continues to increase through lines of whitespace and additional hunks until the beginning of a new file.
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     *
-     * **Multi-line comment summary**
-     *
-     * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-     *
-     * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-     *
-     * If you use the `comfort-fade` preview header, your response will show:
-     *
-     * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-     * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-     *
-     * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-     *
-     * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-     * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-     */
-    createComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsCreateCommentParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsCreateCommentResponse>>;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsCreateCommentParamsDeprecatedInReplyTo
-      ): Promise<Octokit.Response<Octokit.PullsCreateCommentResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsCreateCommentParams
-      ): Promise<Octokit.Response<Octokit.PullsCreateCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-     *
-     * Creates a review comment in the pull request diff. To add a regular comment to a pull request timeline, see "[Comments](https://developer.github.com/v3/issues/comments/#create-a-comment)." We recommend creating a review comment using `line`, `side`, and optionally `start_line` and `start_side` if your comment applies to more than one line in the pull request diff.
-     *
-     * You can still create a review comment using the `position` parameter. When you use `position`, the `line`, `side`, `start_line`, and `start_side` parameters are not required. For more information, see [Multi-line comment summary](https://developer.github.com/v3/pulls/comments/#multi-line-comment-summary-3).
-     *
-     * **Note:** The position value equals the number of lines down from the first "@@" hunk header in the file you want to add a comment. The line just below the "@@" line is position 1, the next line is position 2, and so on. The position in the diff continues to increase through lines of whitespace and additional hunks until the beginning of a new file.
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     *
-     * **Multi-line comment summary**
-     *
-     * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-     *
-     * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-     *
-     * If you use the `comfort-fade` preview header, your response will show:
-     *
-     * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-     * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-     *
-     * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-     *
-     * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-     * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-     * @deprecated octokit.pulls.createCommentReply() has been renamed to octokit.pulls.createComment() (2019-09-09)
-     */
-    createCommentReply: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsCreateCommentReplyParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsCreateCommentReplyResponse>>;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsCreateCommentReplyParamsDeprecatedInReplyTo
-      ): Promise<Octokit.Response<Octokit.PullsCreateCommentReplyResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsCreateCommentReplyParams
-      ): Promise<Octokit.Response<Octokit.PullsCreateCommentReplyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    createFromIssue: {
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsCreateFromIssueParams
-      ): Promise<Octokit.Response<Octokit.PullsCreateFromIssueResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     *
-     * **Note:** To comment on a specific line in a file, you need to first determine the _position_ of that line in the diff. The GitHub REST API v3 offers the `application/vnd.github.v3.diff` [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests). To see a pull request diff, add this media type to the `Accept` header of a call to the [single pull request](https://developer.github.com/v3/pulls/#get-a-single-pull-request) endpoint.
-     *
-     * The `position` value equals the number of lines down from the first "@@" hunk header in the file you want to add a comment. The line just below the "@@" line is position 1, the next line is position 2, and so on. The position in the diff continues to increase through lines of whitespace and additional hunks until the beginning of a new file.
-     */
-    createReview: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsCreateReviewParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsCreateReviewResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsCreateReviewParams
-      ): Promise<Octokit.Response<Octokit.PullsCreateReviewResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a reply to a review comment for a pull request. For the `comment_id`, provide the ID of the review comment you are replying to. This must be the ID of a _top-level review comment_, not a reply to that comment. Replies to replies are not supported.
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    createReviewCommentReply: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsCreateReviewCommentReplyParams
-      ): Promise<
-        Octokit.Response<Octokit.PullsCreateReviewCommentReplyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    createReviewRequest: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsCreateReviewRequestParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsCreateReviewRequestResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsCreateReviewRequestParams
-      ): Promise<Octokit.Response<Octokit.PullsCreateReviewRequestResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deletes a review comment.
-     */
-    deleteComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsDeleteCommentParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deletePendingReview: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsDeletePendingReviewParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsDeletePendingReviewResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsDeletePendingReviewParams
-      ): Promise<Octokit.Response<Octokit.PullsDeletePendingReviewResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteReviewRequest: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsDeleteReviewRequestParamsDeprecatedNumber
-      ): Promise<Octokit.AnyResponse>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsDeleteReviewRequestParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** To dismiss a pull request review on a [protected branch](https://developer.github.com/v3/repos/branches/), you must be a repository administrator or be included in the list of people or teams who can dismiss pull request reviews.
-     */
-    dismissReview: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsDismissReviewParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsDismissReviewResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsDismissReviewParams
-      ): Promise<Octokit.Response<Octokit.PullsDismissReviewResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Draft pull requests are available in public repositories with GitHub Free and GitHub Pro, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists details of a pull request by providing its number.
-     *
-     * When you get, [create](https://developer.github.com/v3/pulls/#create-a-pull-request), or [edit](https://developer.github.com/v3/pulls/#update-a-pull-request) a pull request, GitHub creates a merge commit to test whether the pull request can be automatically merged into the base branch. This test commit is not added to the base branch or the head branch. You can review the status of the test commit using the `mergeable` key. For more information, see "[Checking mergeability of pull requests](https://developer.github.com/v3/git/#checking-mergeability-of-pull-requests)".
-     *
-     * The value of the `mergeable` attribute can be `true`, `false`, or `null`. If the value is `null`, then GitHub has started a background job to compute the mergeability. After giving the job time to complete, resubmit the request. When the job finishes, you will see a non-`null` value for the `mergeable` attribute in the response. If `mergeable` is `true`, then `merge_commit_sha` will be the SHA of the _test_ merge commit.
-     *
-     * The value of the `merge_commit_sha` attribute changes depending on the state of the pull request. Before merging a pull request, the `merge_commit_sha` attribute holds the SHA of the _test_ merge commit. After merging a pull request, the `merge_commit_sha` attribute changes depending on how you merged the pull request:
-     *
-     * *   If merged as a [merge commit](https://help.github.com/articles/about-merge-methods-on-github/), `merge_commit_sha` represents the SHA of the merge commit.
-     * *   If merged via a [squash](https://help.github.com/articles/about-merge-methods-on-github/#squashing-your-merge-commits), `merge_commit_sha` represents the SHA of the squashed commit on the base branch.
-     * *   If [rebased](https://help.github.com/articles/about-merge-methods-on-github/#rebasing-and-merging-your-commits), `merge_commit_sha` represents the commit that the base branch was updated to.
-     *
-     * Pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch diff and patch formats.
-     */
-    get: {
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsGetParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsGetResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.PullsGetParams): Promise<
-        Octokit.Response<Octokit.PullsGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-     *
-     * Provides details for a review comment.
-     *
-     * **Multi-line comment summary**
-     *
-     * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-     *
-     * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-     *
-     * If you use the `comfort-fade` preview header, your response will show:
-     *
-     * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-     * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-     *
-     * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-     *
-     * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-     * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-     *
-     * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
-     */
-    getComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsGetCommentParams
-      ): Promise<Octokit.Response<Octokit.PullsGetCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getCommentsForReview: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsGetCommentsForReviewParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsGetCommentsForReviewResponse>>;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsGetCommentsForReviewParams
-      ): Promise<Octokit.Response<Octokit.PullsGetCommentsForReviewResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getReview: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsGetReviewParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsGetReviewResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.PullsGetReviewParams): Promise<
-        Octokit.Response<Octokit.PullsGetReviewResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Draft pull requests are available in public repositories with GitHub Free and GitHub Pro, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    list: {
-      (params?: Octokit.RequestOptions & Octokit.PullsListParams): Promise<
-        Octokit.Response<Octokit.PullsListResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-     *
-     * Lists review comments for a pull request. By default, review comments are in ascending order by ID.
-     *
-     * **Multi-line comment summary**
-     *
-     * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-     *
-     * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-     *
-     * If you use the `comfort-fade` preview header, your response will show:
-     *
-     * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-     * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-     *
-     * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-     *
-     * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-     * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-     *
-     * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
-     */
-    listComments: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsListCommentsParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsListCommentsResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsListCommentsParams
-      ): Promise<Octokit.Response<Octokit.PullsListCommentsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-     *
-     * Lists review comments for all pull requests in a repository. By default, review comments are in ascending order by ID.
-     *
-     * **Multi-line comment summary**
-     *
-     * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-     *
-     * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-     *
-     * If you use the `comfort-fade` preview header, your response will show:
-     *
-     * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-     * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-     *
-     * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-     *
-     * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-     * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-     *
-     * The `reactions` key will have the following payload where `url` can be used to construct the API location for [listing and creating](https://developer.github.com/v3/reactions) reactions.
-     */
-    listCommentsForRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsListCommentsForRepoParams
-      ): Promise<Octokit.Response<Octokit.PullsListCommentsForRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists a maximum of 250 commits for a pull request. To receive a complete commit list for pull requests with more than 250 commits, use the [Commit List API](https://developer.github.com/v3/repos/commits/#list-commits-on-a-repository).
-     */
-    listCommits: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsListCommitsParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsListCommitsResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsListCommitsParams
-      ): Promise<Octokit.Response<Octokit.PullsListCommitsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** Responses include a maximum of 3000 files. The paginated response returns 30 files per page by default.
-     */
-    listFiles: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsListFilesParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsListFilesResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.PullsListFilesParams): Promise<
-        Octokit.Response<Octokit.PullsListFilesResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listReviewRequests: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsListReviewRequestsParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsListReviewRequestsResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsListReviewRequestsParams
-      ): Promise<Octokit.Response<Octokit.PullsListReviewRequestsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The list of reviews returns in chronological order.
-     */
-    listReviews: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsListReviewsParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsListReviewsResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsListReviewsParams
-      ): Promise<Octokit.Response<Octokit.PullsListReviewsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    merge: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsMergeParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsMergeResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.PullsMergeParams): Promise<
-        Octokit.Response<Octokit.PullsMergeResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    submitReview: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsSubmitReviewParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsSubmitReviewResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsSubmitReviewParams
-      ): Promise<Octokit.Response<Octokit.PullsSubmitReviewResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Draft pull requests are available in public repositories with GitHub Free and GitHub Pro, and in public and private repositories with GitHub Team and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To open or update a pull request in a public repository, you must have write access to the head or the source branch. For organization-owned repositories, you must be a member of the organization that owns the repository to open or update a pull request.
-     */
-    update: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsUpdateParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsUpdateResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.PullsUpdateParams): Promise<
-        Octokit.Response<Octokit.PullsUpdateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Updates the pull request branch with the latest upstream changes by merging HEAD from the base branch into the pull request branch.
-     */
-    updateBranch: {
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsUpdateBranchParams
-      ): Promise<Octokit.Response<Octokit.PullsUpdateBranchResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** Multi-line comments on pull requests are currently in public beta and subject to change.
-     *
-     * Enables you to edit a review comment.
-     *
-     * **Multi-line comment summary**
-     *
-     * **Note:** New parameters and response fields are available for developers to preview. During the preview period, these response fields may change without advance notice. Please see the [blog post](https://developer.github.com/changes/2019-10-03-multi-line-comments) for full details.
-     *
-     * Use the `comfort-fade` preview header and the `line` parameter to show multi-line comment-supported fields in the response.
-     *
-     * If you use the `comfort-fade` preview header, your response will show:
-     *
-     * *   For multi-line comments, values for `start_line`, `original_start_line`, `start_side`, `line`, `original_line`, and `side`.
-     * *   For single-line comments, values for `line`, `original_line`, and `side` and a `null` value for `start_line`, `original_start_line`, and `start_side`.
-     *
-     * If you don't use the `comfort-fade` preview header, multi-line and single-line comments will appear the same way in the response with a single `position` attribute. Your response will show:
-     *
-     * *   For multi-line comments, the last line of the comment range for the `position` attribute.
-     * *   For single-line comments, the diff-positioned way of referencing comments for the `position` attribute. For more information, see `position` in the [input parameters](https://developer.github.com/v3/pulls/comments/#parameters-2) table.
-     */
-    updateComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsUpdateCommentParams
-      ): Promise<Octokit.Response<Octokit.PullsUpdateCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Update the review summary comment with new text.
-     */
-    updateReview: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.PullsUpdateReviewParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.PullsUpdateReviewResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.PullsUpdateReviewParams
-      ): Promise<Octokit.Response<Octokit.PullsUpdateReviewResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  rateLimit: {
-    /**
-     * **Note:** Accessing this endpoint does not count against your REST API rate limit.
-     *
-     * **Understanding your rate limit status**
-     *
-     * The Search API has a [custom rate limit](https://developer.github.com/v3/search/#rate-limit), separate from the rate limit governing the rest of the REST API. The GraphQL API also has a [custom rate limit](https://developer.github.com/v4/guides/resource-limitations/#rate-limit) that is separate from and calculated differently than rate limits in the REST API.
-     *
-     * For these reasons, the Rate Limit API response categorizes your rate limit. Under `resources`, you'll see four objects:
-     *
-     * *   The `core` object provides your rate limit status for all non-search-related resources in the REST API.
-     * *   The `search` object provides your rate limit status for the [Search API](https://developer.github.com/v3/search/).
-     * *   The `graphql` object provides your rate limit status for the [GraphQL API](https://developer.github.com/v4/).
-     * *   The `integration_manifest` object provides your rate limit status for the [GitHub App Manifest code conversion](https://developer.github.com/apps/building-github-apps/creating-github-apps-from-a-manifest/#3-you-exchange-the-temporary-code-to-retrieve-the-app-configuration) endpoint.
-     *
-     * For more information on the headers and values in the rate limit response, see "[Rate limiting](https://developer.github.com/v3/#rate-limiting)."
-     *
-     * The `rate` object (shown at the bottom of the response above) is deprecated.
-     *
-     * If you're writing new API client code or updating existing code, you should use the `core` object instead of the `rate` object. The `core` object contains the same information that is present in the `rate` object.
-     */
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.RateLimitGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  reactions: {
-    /**
-     * Create a reaction to a [commit comment](https://developer.github.com/v3/repos/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this commit comment.
-     */
-    createForCommitComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForCommitCommentParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsCreateForCommitCommentResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Create a reaction to an [issue](https://developer.github.com/v3/issues/). A response with a `Status: 200 OK` means that you already added the reaction type to this issue.
-     */
-    createForIssue: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForIssueParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.ReactionsCreateForIssueResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.ReactionsCreateForIssueParams
-      ): Promise<Octokit.Response<Octokit.ReactionsCreateForIssueResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Create a reaction to an [issue comment](https://developer.github.com/v3/issues/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this issue comment.
-     */
-    createForIssueComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForIssueCommentParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsCreateForIssueCommentResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Create a reaction to a [pull request review comment](https://developer.github.com/v3/pulls/comments/). A response with a `Status: 200 OK` means that you already added the reaction type to this pull request review comment.
-     */
-    createForPullRequestReviewComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForPullRequestReviewCommentParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReactionsCreateForPullRequestReviewCommentResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create reaction for a team discussion`](https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion) endpoint.
-     *
-     * Create a reaction to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion.
-     * @deprecated octokit.reactions.createForTeamDiscussion() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy
-     */
-    createForTeamDiscussion: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForTeamDiscussionParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsCreateForTeamDiscussionResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create reaction for a team discussion comment`](https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment) endpoint.
-     *
-     * Create a reaction to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion comment.
-     * @deprecated octokit.reactions.createForTeamDiscussionComment() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy
-     */
-    createForTeamDiscussionComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForTeamDiscussionCommentParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReactionsCreateForTeamDiscussionCommentResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Create a reaction to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion comment.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number/reactions`.
-     */
-    createForTeamDiscussionCommentInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForTeamDiscussionCommentInOrgParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReactionsCreateForTeamDiscussionCommentInOrgResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create reaction for a team discussion comment`](https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment) endpoint.
-     *
-     * Create a reaction to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion comment.
-     * @deprecated octokit.reactions.createForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy
-     */
-    createForTeamDiscussionCommentLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForTeamDiscussionCommentLegacyParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReactionsCreateForTeamDiscussionCommentLegacyResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Create a reaction to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions/:discussion_number/reactions`.
-     */
-    createForTeamDiscussionInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForTeamDiscussionInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsCreateForTeamDiscussionInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create reaction for a team discussion`](https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion) endpoint.
-     *
-     * Create a reaction to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/). A response with a `Status: 200 OK` means that you already added the reaction type to this team discussion.
-     * @deprecated octokit.reactions.createForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy
-     */
-    createForTeamDiscussionLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsCreateForTeamDiscussionLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsCreateForTeamDiscussionLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), when deleting a [team discussion](https://developer.github.com/v3/teams/discussions/) or [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/).
-     */
-    delete: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReactionsDeleteParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the reactions to a [commit comment](https://developer.github.com/v3/repos/comments/).
-     */
-    listForCommitComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForCommitCommentParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsListForCommitCommentResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the reactions to an [issue](https://developer.github.com/v3/issues/).
-     */
-    listForIssue: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForIssueParamsDeprecatedNumber
-      ): Promise<Octokit.Response<Octokit.ReactionsListForIssueResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.ReactionsListForIssueParams
-      ): Promise<Octokit.Response<Octokit.ReactionsListForIssueResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the reactions to an [issue comment](https://developer.github.com/v3/issues/comments/).
-     */
-    listForIssueComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForIssueCommentParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsListForIssueCommentResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the reactions to a [pull request review comment](https://developer.github.com/v3/pulls/comments/).
-     */
-    listForPullRequestReviewComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForPullRequestReviewCommentParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReactionsListForPullRequestReviewCommentResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List reactions for a team discussion`](https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion) endpoint.
-     *
-     * List the reactions to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.reactions.listForTeamDiscussion() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy
-     */
-    listForTeamDiscussion: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForTeamDiscussionParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsListForTeamDiscussionResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List reactions for a team discussion comment`](https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment) endpoint.
-     *
-     * List the reactions to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.reactions.listForTeamDiscussionComment() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy
-     */
-    listForTeamDiscussionComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForTeamDiscussionCommentParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsListForTeamDiscussionCommentResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the reactions to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number/reactions`.
-     */
-    listForTeamDiscussionCommentInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForTeamDiscussionCommentInOrgParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReactionsListForTeamDiscussionCommentInOrgResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List reactions for a team discussion comment`](https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment) endpoint.
-     *
-     * List the reactions to a [team discussion comment](https://developer.github.com/v3/teams/discussion_comments/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.reactions.listForTeamDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy
-     */
-    listForTeamDiscussionCommentLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForTeamDiscussionCommentLegacyParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReactionsListForTeamDiscussionCommentLegacyResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the reactions to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/reactions`.
-     */
-    listForTeamDiscussionInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForTeamDiscussionInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsListForTeamDiscussionInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List reactions for a team discussion`](https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion) endpoint.
-     *
-     * List the reactions to a [team discussion](https://developer.github.com/v3/teams/discussions/). OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.reactions.listForTeamDiscussionLegacy() is deprecated, see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy
-     */
-    listForTeamDiscussionLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReactionsListForTeamDiscussionLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.ReactionsListForTeamDiscussionLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  repos: {
-    acceptInvitation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposAcceptInvitationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     *
-     * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     *
-     * The invitee will receive a notification that they have been invited to the repository, which they must accept or decline. They may do this via the notifications page, the email they receive, or by using the [repository invitations API endpoints](https://developer.github.com/v3/repos/invitations/).
-     *
-     * **Rate limits**
-     *
-     * To prevent abuse, you are limited to sending 50 invitations to a repository per 24 hour period. Note there is no limit if you are inviting organization members to an organization repository.
-     */
-    addCollaborator: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposAddCollaboratorParams
-      ): Promise<Octokit.Response<Octokit.ReposAddCollaboratorResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Here's how you can create a read-only deploy key:
-     */
-    addDeployKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposAddDeployKeyParams
-      ): Promise<Octokit.Response<Octokit.ReposAddDeployKeyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Adding admin enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
-     */
-    addProtectedBranchAdminEnforcement: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposAddProtectedBranchAdminEnforcementParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposAddProtectedBranchAdminEnforcementResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Grants the specified apps push access for this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-     *
-     * | Type    | Description                                                                                                                                                |
-     * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
-     * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    addProtectedBranchAppRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposAddProtectedBranchAppRestrictionsParams
-      ): Promise<
-        Octokit.Response<Octokit.ReposAddProtectedBranchAppRestrictionsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * When authenticated with admin or owner permissions to the repository, you can use this endpoint to require signed commits on a branch. You must enable branch protection to require signed commits.
-     */
-    addProtectedBranchRequiredSignatures: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposAddProtectedBranchRequiredSignaturesParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposAddProtectedBranchRequiredSignaturesResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    addProtectedBranchRequiredStatusChecksContexts: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposAddProtectedBranchRequiredStatusChecksContextsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposAddProtectedBranchRequiredStatusChecksContextsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Grants the specified teams push access for this branch. You can also give push access to child teams.
-     *
-     * | Type    | Description                                                                                                                                |
-     * | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
-     * | `array` | The teams that can have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    addProtectedBranchTeamRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposAddProtectedBranchTeamRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposAddProtectedBranchTeamRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Grants the specified people push access for this branch.
-     *
-     * | Type    | Description                                                                                                                   |
-     * | ------- | ----------------------------------------------------------------------------------------------------------------------------- |
-     * | `array` | Usernames for people who can have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    addProtectedBranchUserRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposAddProtectedBranchUserRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposAddProtectedBranchUserRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * For organization-owned repositories, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners.
-     *
-     * Team members will include the members of child teams.
-     */
-    checkCollaborator: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCheckCollaboratorParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Shows whether vulnerability alerts are enabled or disabled for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://help.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)" in the GitHub Help documentation.
-     */
-    checkVulnerabilityAlerts: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposCheckVulnerabilityAlertsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Both `:base` and `:head` must be branch names in `:repo`. To compare branches across other repositories in the same network as `:repo`, use the format `<USERNAME>:branch`.
-     *
-     * The response from the API is equivalent to running the `git log base..head` command; however, commits are returned in chronological order. Pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch diff and patch formats.
-     *
-     * The response also includes details on the files that were changed between the two commits. This includes the status of the change (for example, if a file was added, removed, modified, or renamed), and details of the change itself. For example, files with a `renamed` status have a `previous_filename` field showing the previous filename of the file, and files with a `modified` status have a `patch` field showing the changes made to the file.
-     *
-     * **Working with large comparisons**
-     *
-     * The response will include a comparison of up to 250 commits. If you are working with a larger commit range, you can use the [Commit List API](https://developer.github.com/v3/repos/commits/#list-commits-on-a-repository) to enumerate all commits in the range.
-     *
-     * For comparisons with extremely large diffs, you may receive an error response indicating that the diff took too long to generate. You can typically resolve this error by using a smaller commit range.
-     *
-     * **Signature verification object**
-     *
-     * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-     *
-     * These are the possible values for `reason` in the `verification` object:
-     *
-     * | Value                    | Description                                                                                                                       |
-     * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-     * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-     * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-     * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-     * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-     * | `unsigned`               | The object does not include a signature.                                                                                          |
-     * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-     * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-     * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-     * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-     * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-     * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-     * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-     * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-     */
-    compareCommits: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCompareCommitsParams
-      ): Promise<Octokit.Response<Octokit.ReposCompareCommitsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Create a comment for a commit using its `:commit_sha`.
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    createCommitComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposCreateCommitCommentParamsDeprecatedSha
-      ): Promise<Octokit.Response<Octokit.ReposCreateCommitCommentResponse>>;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposCreateCommitCommentParamsDeprecatedLine
-      ): Promise<Octokit.Response<Octokit.ReposCreateCommitCommentResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateCommitCommentParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateCommitCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deployments offer a few configurable parameters with sane defaults.
-     *
-     * The `ref` parameter can be any named branch, tag, or SHA. At GitHub we often deploy branches and verify them before we merge a pull request.
-     *
-     * The `environment` parameter allows deployments to be issued to different runtime environments. Teams often have multiple environments for verifying their applications, such as `production`, `staging`, and `qa`. This parameter makes it easier to track which environments have requested deployments. The default environment is `production`.
-     *
-     * The `auto_merge` parameter is used to ensure that the requested ref is not behind the repository's default branch. If the ref _is_ behind the default branch for the repository, we will attempt to merge it for you. If the merge succeeds, the API will return a successful merge commit. If merge conflicts prevent the merge from succeeding, the API will return a failure response.
-     *
-     * By default, [commit statuses](https://developer.github.com/v3/repos/statuses) for every submitted context must be in a `success` state. The `required_contexts` parameter allows you to specify a subset of contexts that must be `success`, or to specify contexts that have not yet been submitted. You are not required to use commit statuses to deploy. If you do not require any contexts or create any commit statuses, the deployment will always succeed.
-     *
-     * The `payload` parameter is available for any extra information that a deployment system might need. It is a JSON text field that will be passed on when a deployment event is dispatched.
-     *
-     * The `task` parameter is used by the deployment system to allow different execution paths. In the web world this might be `deploy:migrations` to run schema changes on the system. In the compiled world this could be a flag to compile an application with debugging enabled.
-     *
-     * Users with `repo` or `repo_deployment` scopes can create a deployment for a given ref:
-     *
-     * A simple example putting the user and room into the payload to notify back to chat networks.
-     *
-     * A more advanced example specifying required commit statuses and bypassing auto-merging.
-     *
-     * You will see this response when GitHub automatically merges the base branch into the topic branch instead of creating a deployment. This auto-merge happens when:
-     *
-     * *   Auto-merge option is enabled in the repository
-     * *   Topic branch does not include the latest changes on the base branch, which is `master`in the response example
-     * *   There are no merge conflicts
-     *
-     * If there are no new commits in the base branch, a new request to create a deployment should give a successful response.
-     *
-     * This error happens when the `auto_merge` option is enabled and when the default branch (in this case `master`), can't be merged into the branch that's being deployed (in this case `topic-branch`), due to merge conflicts.
-     *
-     * This error happens when the `required_contexts` parameter indicates that one or more contexts need to have a `success` status for the commit to be deployed, but one or more of the required contexts do not have a state of `success`.
-     */
-    createDeployment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateDeploymentParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateDeploymentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with `push` access can create deployment statuses for a given deployment.
-     *
-     * GitHub Apps require `read & write` access to "Deployments" and `read-only` access to "Repo contents" (for private repos). OAuth Apps require the `repo_deployment` scope.
-     */
-    createDeploymentStatus: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposCreateDeploymentStatusParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateDeploymentStatusResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You can use this endpoint to trigger a webhook event called `repository_dispatch` when you want activity that happens outside of GitHub to trigger a GitHub Actions workflow or GitHub App webhook. You must configure your GitHub Actions workflow or GitHub App to run when the `repository_dispatch` event occurs. For an example `repository_dispatch` webhook payload, see "[RepositoryDispatchEvent](https://developer.github.com/v3/activity/events/types/#repositorydispatchevent)."
-     *
-     * The `client_payload` parameter is available for any extra information that your workflow might need. This parameter is a JSON payload that will be passed on when the webhook event is dispatched. For example, the `client_payload` can include a message that a user would like to send using a GitHub Actions workflow. Or the `client_payload` can be used as a test to debug your workflow. For a test example, see the [input example](https://developer.github.com/v3/repos/#example-4).
-     *
-     * To give you write access to the repository, you must use a personal access token with the `repo` scope. For more information, see "[Creating a personal access token for the command line](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line)" in the GitHub Help documentation.
-     *
-     * This input example shows how you can use the `client_payload` as a test to debug your workflow.
-     */
-    createDispatchEvent: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateDispatchEventParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new file or updates an existing file in a repository.
-     * @deprecated octokit.repos.createFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)
-     */
-    createFile: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateFileParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateFileResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new repository for the authenticated user.
-     *
-     * **OAuth scope requirements**
-     *
-     * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
-     *
-     * *   `public_repo` scope or `repo` scope to create a public repository
-     * *   `repo` scope to create a private repository
-     */
-    createForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposCreateForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.ReposCreateForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Create a fork for the authenticated user.
-     *
-     * **Note**: Forking a Repository happens asynchronously. You may have to wait a short period of time before you can access the git objects. If this takes longer than 5 minutes, be sure to contact [GitHub Support](https://github.com/contact) or [GitHub Premium Support](https://premium.githubsupport.com).
-     */
-    createFork: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateForkParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateForkResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Repositories can have multiple webhooks installed. Each webhook should have a unique `config`. Multiple webhooks can share the same `config` as long as those webhooks do not have any `events` that overlap.
-     *
-     * Here's how you can create a hook that posts payloads in JSON format:
-     */
-    createHook: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateHookParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateHookResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new repository for the authenticated user.
-     *
-     * **OAuth scope requirements**
-     *
-     * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
-     *
-     * *   `public_repo` scope or `repo` scope to create a public repository
-     * *   `repo` scope to create a private repository
-     */
-    createInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateInOrgParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new file or updates an existing file in a repository.
-     */
-    createOrUpdateFile: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateOrUpdateFileParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateOrUpdateFileResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with push access to the repository can create a release.
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     */
-    createRelease: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateReleaseParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateReleaseResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with push access in a repository can create commit statuses for a given SHA.
-     *
-     * Note: there is a limit of 1000 statuses per `sha` and `context` within a repository. Attempts to create more than 1000 statuses will result in a validation error.
-     */
-    createStatus: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateStatusParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateStatusResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new repository using a repository template. Use the `template_owner` and `template_repo` route parameters to specify the repository to use as the template. The authenticated user must own or be a member of an organization that owns the repository. To check if a repository is available to use as a template, get the repository's information using the [`GET /repos/:owner/:repo`](https://developer.github.com/v3/repos/#get) endpoint and check that the `is_template` key is `true`.
-     *
-     * **OAuth scope requirements**
-     *
-     * When using [OAuth](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/), authorizations must include:
-     *
-     * *   `public_repo` scope or `repo` scope to create a public repository
-     * *   `repo` scope to create a private repository
-     *
-     * \`
-     */
-    createUsingTemplate: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposCreateUsingTemplateParams
-      ): Promise<Octokit.Response<Octokit.ReposCreateUsingTemplateResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    declineInvitation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDeclineInvitationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deleting a repository requires admin access. If OAuth is used, the `delete_repo` scope is required.
-     *
-     * If an organization owner has configured the organization to prevent members from deleting organization-owned repositories, a member will get this response:
-     */
-    delete: {
-      (params?: Octokit.RequestOptions & Octokit.ReposDeleteParams): Promise<
-        Octokit.Response<Octokit.ReposDeleteResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteCommitComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDeleteCommitCommentParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteDownload: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDeleteDownloadParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deletes a file in a repository.
-     *
-     * You can provide an additional `committer` parameter, which is an object containing information about the committer. Or, you can provide an `author` parameter, which is an object containing information about the author.
-     *
-     * The `author` section is optional and is filled in with the `committer` information if omitted. If the `committer` information is omitted, the authenticated user's information is used.
-     *
-     * You must provide values for both `name` and `email`, whether you choose to use `author` or `committer`. Otherwise, you'll receive a `422` status code.
-     */
-    deleteFile: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDeleteFileParams
-      ): Promise<Octokit.Response<Octokit.ReposDeleteFileResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteHook: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDeleteHookParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteInvitation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDeleteInvitationParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with push access to the repository can delete a release.
-     */
-    deleteRelease: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDeleteReleaseParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    deleteReleaseAsset: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDeleteReleaseAssetParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Disables automated security fixes for a repository. The authenticated user must have admin access to the repository. For more information, see "[Configuring automated security fixes](https://help.github.com/en/articles/configuring-automated-security-fixes)" in the GitHub Help documentation.
-     */
-    disableAutomatedSecurityFixes: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposDisableAutomatedSecurityFixesParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    disablePagesSite: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposDisablePagesSiteParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Disables vulnerability alerts and the dependency graph for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://help.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)" in the GitHub Help documentation.
-     */
-    disableVulnerabilityAlerts: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposDisableVulnerabilityAlertsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Enables automated security fixes for a repository. The authenticated user must have admin access to the repository. For more information, see "[Configuring automated security fixes](https://help.github.com/en/articles/configuring-automated-security-fixes)" in the GitHub Help documentation.
-     */
-    enableAutomatedSecurityFixes: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposEnableAutomatedSecurityFixesParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    enablePagesSite: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposEnablePagesSiteParams
-      ): Promise<Octokit.Response<Octokit.ReposEnablePagesSiteResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Enables vulnerability alerts and the dependency graph for a repository. The authenticated user must have admin access to the repository. For more information, see "[About security alerts for vulnerable dependencies](https://help.github.com/en/articles/about-security-alerts-for-vulnerable-dependencies)" in the GitHub Help documentation.
-     */
-    enableVulnerabilityAlerts: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposEnableVulnerabilityAlertsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The `parent` and `source` objects are present when the repository is a fork. `parent` is the repository this repository was forked from, `source` is the ultimate source for the network.
-     */
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.ReposGetParams): Promise<
-        Octokit.Response<Octokit.ReposGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists the GitHub Apps that have push access to this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-     */
-    getAppsWithAccessToProtectedBranch: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetAppsWithAccessToProtectedBranchParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposGetAppsWithAccessToProtectedBranchResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a redirect URL to download an archive for a repository. The `:archive_format` can be either `tarball` or `zipball`. The `:ref` must be a valid Git reference. If you omit `:ref`, the repository’s default branch (usually `master`) will be used. Please make sure your HTTP framework is configured to follow redirects or you will need to use the `Location` header to make a second `GET` request.
-     *
-     * _Note_: For private repositories, these links are temporary and expire after five minutes.
-     *
-     * To follow redirects with curl, use the `-L` switch:
-     */
-    getArchiveLink: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetArchiveLinkParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getBranch: {
-      (params?: Octokit.RequestOptions & Octokit.ReposGetBranchParams): Promise<
-        Octokit.Response<Octokit.ReposGetBranchResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    getBranchProtection: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetBranchProtectionParams
-      ): Promise<Octokit.Response<Octokit.ReposGetBranchProtectionResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Get the total number of clones and breakdown per day or week for the last 14 days. Timestamps are aligned to UTC midnight of the beginning of the day or week. Week begins on Monday.
-     */
-    getClones: {
-      (params?: Octokit.RequestOptions & Octokit.ReposGetClonesParams): Promise<
-        Octokit.Response<Octokit.ReposGetClonesResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns a weekly aggregate of the number of additions and deletions pushed to a repository.
-     */
-    getCodeFrequencyStats: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetCodeFrequencyStatsParams
-      ): Promise<Octokit.Response<Octokit.ReposGetCodeFrequencyStatsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Possible values for the `permission` key: `admin`, `write`, `read`, `none`.
-     */
-    getCollaboratorPermissionLevel: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetCollaboratorPermissionLevelParams
-      ): Promise<
-        Octokit.Response<Octokit.ReposGetCollaboratorPermissionLevelResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with pull access in a repository can access a combined view of commit statuses for a given ref. The ref can be a SHA, a branch name, or a tag name.
-     *
-     * The most recent status for each context is returned, up to 100. This field [paginates](https://developer.github.com/v3/#pagination) if there are over 100 contexts.
-     *
-     * Additionally, a combined `state` is returned. The `state` is one of:
-     *
-     * *   **failure** if any of the contexts report as `error` or `failure`
-     * *   **pending** if there are no statuses or a context is `pending`
-     * *   **success** if the latest status for all contexts is `success`
-     */
-    getCombinedStatusForRef: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetCombinedStatusForRefParams
-      ): Promise<
-        Octokit.Response<Octokit.ReposGetCombinedStatusForRefResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns the contents of a single commit reference. You must have `read` access for the repository to use this endpoint.
-     *
-     * You can pass the appropriate [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) to fetch `diff` and `patch` formats. Diffs with binary data will have no `patch` property.
-     *
-     * To return only the SHA-1 hash of the commit reference, you can provide the `sha` custom [media type](https://developer.github.com/v3/media/#commits-commit-comparison-and-pull-requests) in the `Accept` header. You can use this endpoint to check if a remote reference's SHA-1 hash is the same as your local reference's SHA-1 hash by providing the local SHA-1 reference as the ETag.
-     *
-     * **Signature verification object**
-     *
-     * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-     *
-     * These are the possible values for `reason` in the `verification` object:
-     *
-     * | Value                    | Description                                                                                                                       |
-     * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-     * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-     * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-     * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-     * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-     * | `unsigned`               | The object does not include a signature.                                                                                          |
-     * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-     * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-     * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-     * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-     * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-     * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-     * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-     * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-     */
-    getCommit: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetCommitParamsDeprecatedSha
-      ): Promise<Octokit.Response<Octokit.ReposGetCommitResponse>>;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetCommitParamsDeprecatedCommitSha
-      ): Promise<Octokit.Response<Octokit.ReposGetCommitResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.ReposGetCommitParams): Promise<
-        Octokit.Response<Octokit.ReposGetCommitResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns the last year of commit activity grouped by week. The `days` array is a group of commits per day, starting on `Sunday`.
-     */
-    getCommitActivityStats: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetCommitActivityStatsParams
-      ): Promise<Octokit.Response<Octokit.ReposGetCommitActivityStatsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getCommitComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetCommitCommentParams
-      ): Promise<Octokit.Response<Octokit.ReposGetCommitCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** To access this endpoint, you must provide a custom [media type](https://developer.github.com/v3/media) in the `Accept` header:
-     * ```
-     * application/vnd.github.VERSION.sha
-     * ```
-     * Returns the SHA-1 of the commit reference. You must have `read` access for the repository to get the SHA-1 of a commit reference. You can use this endpoint to check if a remote reference's SHA-1 is the same as your local reference's SHA-1 by providing the local SHA-1 reference as the ETag.
-     * @deprecated "Get the SHA-1 of a commit reference" will be removed. Use "Get a single commit" instead with media type format set to "sha" instead.
-     */
-    getCommitRefSha: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetCommitRefShaParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets the contents of a file or directory in a repository. Specify the file path or directory in `:path`. If you omit `:path`, you will receive the contents of all files in the repository.
-     *
-     * Files and symlinks support [a custom media type](https://developer.github.com/v3/repos/contents/#custom-media-types) for retrieving the raw content or rendered HTML (when supported). All content types support [a custom media type](https://developer.github.com/v3/repos/contents/#custom-media-types) to ensure the content is returned in a consistent object format.
-     *
-     * **Note**:
-     *
-     * *   To get a repository's contents recursively, you can [recursively get the tree](https://developer.github.com/v3/git/trees/).
-     * *   This API has an upper limit of 1,000 files for a directory. If you need to retrieve more files, use the [Git Trees API](https://developer.github.com/v3/git/trees/#get-a-tree).
-     * *   This API supports files up to 1 megabyte in size.
-     *
-     * The response will be an array of objects, one object for each item in the directory.
-     *
-     * When listing the contents of a directory, submodules have their "type" specified as "file". Logically, the value _should_ be "submodule". This behavior exists in API v3 [for backwards compatibility purposes](https://git.io/v1YCW). In the next major version of the API, the type will be returned as "submodule".
-     *
-     * If the requested `:path` points to a symlink, and the symlink's target is a normal file in the repository, then the API responds with the content of the file (in the [format shown above](https://developer.github.com/v3/repos/contents/#response-if-content-is-a-file)).
-     *
-     * Otherwise, the API responds with an object describing the symlink itself:
-     *
-     * The `submodule_git_url` identifies the location of the submodule repository, and the `sha` identifies a specific commit within the submodule repository. Git uses the given URL when cloning the submodule repository, and checks out the submodule at that specific commit.
-     *
-     * If the submodule repository is not hosted on github.com, the Git URLs (`git_url` and `_links["git"]`) and the github.com URLs (`html_url` and `_links["html"]`) will have null values.
-     */
-    getContents: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetContentsParams
-      ): Promise<Octokit.Response<Octokit.ReposGetContentsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * *   `total` - The Total number of commits authored by the contributor.
-     *
-     * Weekly Hash (`weeks` array):
-     *
-     * *   `w` - Start of the week, given as a [Unix timestamp](http://en.wikipedia.org/wiki/Unix_time).
-     * *   `a` - Number of additions
-     * *   `d` - Number of deletions
-     * *   `c` - Number of commits
-     */
-    getContributorsStats: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetContributorsStatsParams
-      ): Promise<Octokit.Response<Octokit.ReposGetContributorsStatsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getDeployKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetDeployKeyParams
-      ): Promise<Octokit.Response<Octokit.ReposGetDeployKeyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getDeployment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetDeploymentParams
-      ): Promise<Octokit.Response<Octokit.ReposGetDeploymentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with pull access can view a deployment status for a deployment:
-     */
-    getDeploymentStatus: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetDeploymentStatusParams
-      ): Promise<Octokit.Response<Octokit.ReposGetDeploymentStatusResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getDownload: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetDownloadParams
-      ): Promise<Octokit.Response<Octokit.ReposGetDownloadResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getHook: {
-      (params?: Octokit.RequestOptions & Octokit.ReposGetHookParams): Promise<
-        Octokit.Response<Octokit.ReposGetHookResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getLatestPagesBuild: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetLatestPagesBuildParams
-      ): Promise<Octokit.Response<Octokit.ReposGetLatestPagesBuildResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * View the latest published full release for the repository.
-     *
-     * The latest release is the most recent non-prerelease, non-draft release, sorted by the `created_at` attribute. The `created_at` attribute is the date of the commit used for the release, and not the date when the release was drafted or published.
-     */
-    getLatestRelease: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetLatestReleaseParams
-      ): Promise<Octokit.Response<Octokit.ReposGetLatestReleaseResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getPages: {
-      (params?: Octokit.RequestOptions & Octokit.ReposGetPagesParams): Promise<
-        Octokit.Response<Octokit.ReposGetPagesResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    getPagesBuild: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetPagesBuildParams
-      ): Promise<Octokit.Response<Octokit.ReposGetPagesBuildResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Returns the total commit counts for the `owner` and total commit counts in `all`. `all` is everyone combined, including the `owner` in the last 52 weeks. If you'd like to get the commit counts for non-owners, you can subtract `owner` from `all`.
-     *
-     * The array order is oldest week (index 0) to most recent week.
-     */
-    getParticipationStats: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetParticipationStatsParams
-      ): Promise<Octokit.Response<Octokit.ReposGetParticipationStatsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    getProtectedBranchAdminEnforcement: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetProtectedBranchAdminEnforcementParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposGetProtectedBranchAdminEnforcementResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    getProtectedBranchPullRequestReviewEnforcement: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetProtectedBranchPullRequestReviewEnforcementParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposGetProtectedBranchPullRequestReviewEnforcementResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * When authenticated with admin or owner permissions to the repository, you can use this endpoint to check whether a branch requires signed commits. An enabled status of `true` indicates you must sign commits on this branch. For more information, see [Signing commits with GPG](https://help.github.com/articles/signing-commits-with-gpg) in GitHub Help.
-     *
-     * **Note**: You must enable branch protection to require signed commits.
-     */
-    getProtectedBranchRequiredSignatures: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetProtectedBranchRequiredSignaturesParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposGetProtectedBranchRequiredSignaturesResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    getProtectedBranchRequiredStatusChecks: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetProtectedBranchRequiredStatusChecksParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposGetProtectedBranchRequiredStatusChecksResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists who has access to this protected branch. {{#note}}
-     *
-     * **Note**: Users, apps, and teams `restrictions` are only available for organization-owned repositories.
-     */
-    getProtectedBranchRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetProtectedBranchRestrictionsParams
-      ): Promise<
-        Octokit.Response<Octokit.ReposGetProtectedBranchRestrictionsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Each array contains the day number, hour number, and number of commits:
-     *
-     * *   `0-6`: Sunday - Saturday
-     * *   `0-23`: Hour of day
-     * *   Number of commits
-     *
-     * For example, `[2, 14, 25]` indicates that there were 25 total commits, during the 2:00pm hour on Tuesdays. All times are based on the time zone of individual commits.
-     */
-    getPunchCardStats: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetPunchCardStatsParams
-      ): Promise<Octokit.Response<Octokit.ReposGetPunchCardStatsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets the preferred README for a repository.
-     *
-     * READMEs support [custom media types](https://developer.github.com/v3/repos/contents/#custom-media-types) for retrieving the raw content or rendered HTML.
-     */
-    getReadme: {
-      (params?: Octokit.RequestOptions & Octokit.ReposGetReadmeParams): Promise<
-        Octokit.Response<Octokit.ReposGetReadmeResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** This returns an `upload_url` key corresponding to the endpoint for uploading release assets. This key is a [hypermedia resource](https://developer.github.com/v3/#hypermedia).
-     */
-    getRelease: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetReleaseParams
-      ): Promise<Octokit.Response<Octokit.ReposGetReleaseResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * To download the asset's binary content, set the `Accept` header of the request to [`application/octet-stream`](https://developer.github.com/v3/media/#media-types). The API will either redirect the client to the location, or stream it directly if possible. API clients should handle both a `200` or `302` response.
-     */
-    getReleaseAsset: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetReleaseAssetParams
-      ): Promise<Octokit.Response<Octokit.ReposGetReleaseAssetResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Get a published release with the specified tag.
-     */
-    getReleaseByTag: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetReleaseByTagParams
-      ): Promise<Octokit.Response<Octokit.ReposGetReleaseByTagResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists the teams who have push access to this branch. The list includes child teams.
-     */
-    getTeamsWithAccessToProtectedBranch: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetTeamsWithAccessToProtectedBranchParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposGetTeamsWithAccessToProtectedBranchResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Get the top 10 popular contents over the last 14 days.
-     */
-    getTopPaths: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetTopPathsParams
-      ): Promise<Octokit.Response<Octokit.ReposGetTopPathsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Get the top 10 referrers over the last 14 days.
-     */
-    getTopReferrers: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposGetTopReferrersParams
-      ): Promise<Octokit.Response<Octokit.ReposGetTopReferrersResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists the people who have push access to this branch.
-     */
-    getUsersWithAccessToProtectedBranch: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposGetUsersWithAccessToProtectedBranchParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposGetUsersWithAccessToProtectedBranchResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Get the total number of views and breakdown per day or week for the last 14 days. Timestamps are aligned to UTC midnight of the beginning of the day or week. Week begins on Monday.
-     */
-    getViews: {
-      (params?: Octokit.RequestOptions & Octokit.ReposGetViewsParams): Promise<
-        Octokit.Response<Octokit.ReposGetViewsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists repositories that the authenticated user has explicit permission (`:read`, `:write`, or `:admin`) to access.
-     *
-     * The authenticated user has explicit permission to access repositories they own, repositories where they are a collaborator, and repositories that they can access through an organization membership.
-     */
-    list: {
-      (params?: Octokit.RequestOptions & Octokit.ReposListParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists the GitHub Apps that have push access to this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-     * @deprecated octokit.repos.listAppsWithAccessToProtectedBranch() has been renamed to octokit.repos.getAppsWithAccessToProtectedBranch() (2019-09-13)
-     */
-    listAppsWithAccessToProtectedBranch: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListAppsWithAccessToProtectedBranchParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposListAppsWithAccessToProtectedBranchResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listAssetsForRelease: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListAssetsForReleaseParams
-      ): Promise<Octokit.Response<Octokit.ReposListAssetsForReleaseResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listBranches: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListBranchesParams
-      ): Promise<Octokit.Response<Octokit.ReposListBranchesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Returns all branches where the given commit SHA is the HEAD, or latest commit for the branch.
-     */
-    listBranchesForHeadCommit: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListBranchesForHeadCommitParams
-      ): Promise<
-        Octokit.Response<Octokit.ReposListBranchesForHeadCommitResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * For organization-owned repositories, the list of collaborators includes outside collaborators, organization members that are direct collaborators, organization members with access through team memberships, organization members with access through default organization permissions, and organization owners.
-     *
-     * Team members will include the members of child teams.
-     */
-    listCollaborators: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListCollaboratorsParams
-      ): Promise<Octokit.Response<Octokit.ReposListCollaboratorsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Use the `:commit_sha` to specify the commit that will have its comments listed.
-     */
-    listCommentsForCommit: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListCommentsForCommitParamsDeprecatedRef
-      ): Promise<Octokit.Response<Octokit.ReposListCommentsForCommitResponse>>;
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListCommentsForCommitParams
-      ): Promise<Octokit.Response<Octokit.ReposListCommentsForCommitResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Commit Comments use [these custom media types](https://developer.github.com/v3/repos/comments/#custom-media-types). You can read more about the use of media types in the API [here](https://developer.github.com/v3/media/).
-     *
-     * Comments are ordered by ascending ID.
-     */
-    listCommitComments: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListCommitCommentsParams
-      ): Promise<Octokit.Response<Octokit.ReposListCommitCommentsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Signature verification object**
-     *
-     * The response will include a `verification` object that describes the result of verifying the commit's signature. The following fields are included in the `verification` object:
-     *
-     * These are the possible values for `reason` in the `verification` object:
-     *
-     * | Value                    | Description                                                                                                                       |
-     * | ------------------------ | --------------------------------------------------------------------------------------------------------------------------------- |
-     * | `expired_key`            | The key that made the signature is expired.                                                                                       |
-     * | `not_signing_key`        | The "signing" flag is not among the usage flags in the GPG key that made the signature.                                           |
-     * | `gpgverify_error`        | There was an error communicating with the signature verification service.                                                         |
-     * | `gpgverify_unavailable`  | The signature verification service is currently unavailable.                                                                      |
-     * | `unsigned`               | The object does not include a signature.                                                                                          |
-     * | `unknown_signature_type` | A non-PGP signature was found in the commit.                                                                                      |
-     * | `no_user`                | No user was associated with the `committer` email address in the commit.                                                          |
-     * | `unverified_email`       | The `committer` email address in the commit was associated with a user, but the email address is not verified on her/his account. |
-     * | `bad_email`              | The `committer` email address in the commit is not included in the identities of the PGP key that made the signature.             |
-     * | `unknown_key`            | The key that made the signature has not been registered with any user's account.                                                  |
-     * | `malformed_signature`    | There was an error parsing the signature.                                                                                         |
-     * | `invalid`                | The signature could not be cryptographically verified using the key whose key-id was found in the signature.                      |
-     * | `valid`                  | None of the above errors applied, so the signature is considered to be verified.                                                  |
-     */
-    listCommits: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListCommitsParams
-      ): Promise<Octokit.Response<Octokit.ReposListCommitsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists contributors to the specified repository and sorts them by the number of commits per contributor in descending order. This endpoint may return information that is a few hours old because the GitHub REST API v3 caches contributor data to improve performance.
-     *
-     * GitHub identifies contributors by author email address. This endpoint groups contribution counts by GitHub user, which includes all associated email addresses. To improve performance, only the first 500 author email addresses in the repository link to GitHub users. The rest will appear as anonymous contributors without associated GitHub user information.
-     */
-    listContributors: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListContributorsParams
-      ): Promise<Octokit.Response<Octokit.ReposListContributorsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listDeployKeys: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListDeployKeysParams
-      ): Promise<Octokit.Response<Octokit.ReposListDeployKeysResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with pull access can view deployment statuses for a deployment:
-     */
-    listDeploymentStatuses: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListDeploymentStatusesParams
-      ): Promise<Octokit.Response<Octokit.ReposListDeploymentStatusesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Simple filtering of deployments is available via query parameters:
-     */
-    listDeployments: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListDeploymentsParams
-      ): Promise<Octokit.Response<Octokit.ReposListDeploymentsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listDownloads: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListDownloadsParams
-      ): Promise<Octokit.Response<Octokit.ReposListDownloadsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists repositories for the specified organization.
-     */
-    listForOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListForOrgParams
-      ): Promise<Octokit.Response<Octokit.ReposListForOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists public repositories for the specified user.
-     */
-    listForUser: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListForUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listForks: {
-      (params?: Octokit.RequestOptions & Octokit.ReposListForksParams): Promise<
-        Octokit.Response<Octokit.ReposListForksResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listHooks: {
-      (params?: Octokit.RequestOptions & Octokit.ReposListHooksParams): Promise<
-        Octokit.Response<Octokit.ReposListHooksResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * When authenticating as a user with admin rights to a repository, this endpoint will list all currently open repository invitations.
-     */
-    listInvitations: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListInvitationsParams
-      ): Promise<Octokit.Response<Octokit.ReposListInvitationsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * When authenticating as a user, this endpoint will list all currently open repository invitations for that user.
-     */
-    listInvitationsForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListInvitationsForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposListInvitationsForAuthenticatedUserResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists languages for the specified repository. The value shown for each language is the number of bytes of code written in that language.
-     */
-    listLanguages: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListLanguagesParams
-      ): Promise<Octokit.Response<Octokit.ReposListLanguagesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listPagesBuilds: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListPagesBuildsParams
-      ): Promise<Octokit.Response<Octokit.ReposListPagesBuildsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    listProtectedBranchRequiredStatusChecksContexts: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListProtectedBranchRequiredStatusChecksContextsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposListProtectedBranchRequiredStatusChecksContextsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists the teams who have push access to this branch. The list includes child teams.
-     * @deprecated octokit.repos.listProtectedBranchTeamRestrictions() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-09)
-     */
-    listProtectedBranchTeamRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListProtectedBranchTeamRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposListProtectedBranchTeamRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists the people who have push access to this branch.
-     * @deprecated octokit.repos.listProtectedBranchUserRestrictions() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-09)
-     */
-    listProtectedBranchUserRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListProtectedBranchUserRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposListProtectedBranchUserRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all public repositories in the order that they were created.
-     *
-     * Note: Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of repositories.
-     */
-    listPublic: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListPublicParams
-      ): Promise<Octokit.Response<Octokit.ReposListPublicResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all pull requests containing the provided commit SHA, which can be from any point in the commit history. The results will include open and closed pull requests. Additional preview headers may be required to see certain details for associated pull requests, such as whether a pull request is in a draft state. For more information about previews that might affect this endpoint, see the [List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests) endpoint.
-     */
-    listPullRequestsAssociatedWithCommit: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListPullRequestsAssociatedWithCommitParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposListPullRequestsAssociatedWithCommitResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This returns a list of releases, which does not include regular Git tags that have not been associated with a release. To get a list of Git tags, use the [Repository Tags API](https://developer.github.com/v3/repos/#list-tags).
-     *
-     * Information about published releases are available to everyone. Only users with push access will receive listings for draft releases.
-     */
-    listReleases: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListReleasesParams
-      ): Promise<Octokit.Response<Octokit.ReposListReleasesResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with pull access in a repository can view commit statuses for a given ref. The ref can be a SHA, a branch name, or a tag name. Statuses are returned in reverse chronological order. The first status in the list will be the latest one.
-     *
-     * This resource is also available via a legacy route: `GET /repos/:owner/:repo/statuses/:ref`.
-     */
-    listStatusesForRef: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListStatusesForRefParams
-      ): Promise<Octokit.Response<Octokit.ReposListStatusesForRefResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listTags: {
-      (params?: Octokit.RequestOptions & Octokit.ReposListTagsParams): Promise<
-        Octokit.Response<Octokit.ReposListTagsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listTeams: {
-      (params?: Octokit.RequestOptions & Octokit.ReposListTeamsParams): Promise<
-        Octokit.Response<Octokit.ReposListTeamsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists the teams who have push access to this branch. The list includes child teams.
-     * @deprecated octokit.repos.listTeamsWithAccessToProtectedBranch() has been renamed to octokit.repos.getTeamsWithAccessToProtectedBranch() (2019-09-13)
-     */
-    listTeamsWithAccessToProtectedBranch: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListTeamsWithAccessToProtectedBranchParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposListTeamsWithAccessToProtectedBranchResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listTopics: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposListTopicsParams
-      ): Promise<Octokit.Response<Octokit.ReposListTopicsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Lists the people who have push access to this branch.
-     * @deprecated octokit.repos.listUsersWithAccessToProtectedBranch() has been renamed to octokit.repos.getUsersWithAccessToProtectedBranch() (2019-09-13)
-     */
-    listUsersWithAccessToProtectedBranch: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposListUsersWithAccessToProtectedBranchParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposListUsersWithAccessToProtectedBranchResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    merge: {
-      (params?: Octokit.RequestOptions & Octokit.ReposMergeParams): Promise<
-        Octokit.Response<Octokit.ReposMergeResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This will trigger a [ping event](https://developer.github.com/webhooks/#ping-event) to be sent to the hook.
-     */
-    pingHook: {
-      (params?: Octokit.RequestOptions & Octokit.ReposPingHookParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    removeBranchProtection: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveBranchProtectionParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    removeCollaborator: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposRemoveCollaboratorParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    removeDeployKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposRemoveDeployKeyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Removing admin enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
-     */
-    removeProtectedBranchAdminEnforcement: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchAdminEnforcementParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Removes the ability of an app to push to this branch. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-     *
-     * | Type    | Description                                                                                                                                                |
-     * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
-     * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    removeProtectedBranchAppRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchAppRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposRemoveProtectedBranchAppRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    removeProtectedBranchPullRequestReviewEnforcement: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchPullRequestReviewEnforcementParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * When authenticated with admin or owner permissions to the repository, you can use this endpoint to disable required signed commits on a branch. You must enable branch protection to require signed commits.
-     */
-    removeProtectedBranchRequiredSignatures: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchRequiredSignaturesParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    removeProtectedBranchRequiredStatusChecks: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchRequiredStatusChecksParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    removeProtectedBranchRequiredStatusChecksContexts: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchRequiredStatusChecksContextsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposRemoveProtectedBranchRequiredStatusChecksContextsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Disables the ability to restrict who can push to this branch.
-     */
-    removeProtectedBranchRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchRestrictionsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Removes the ability of a team to push to this branch. You can also remove push access for child teams.
-     *
-     * | Type    | Description                                                                                                                                         |
-     * | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------- |
-     * | `array` | Teams that should no longer have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    removeProtectedBranchTeamRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchTeamRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposRemoveProtectedBranchTeamRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Removes the ability of a user to push to this branch.
-     *
-     * | Type    | Description                                                                                                                                   |
-     * | ------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
-     * | `array` | Usernames of the people who should no longer have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    removeProtectedBranchUserRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRemoveProtectedBranchUserRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposRemoveProtectedBranchUserRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Replaces the list of apps that have push access to this branch. This removes all apps that previously had push access and grants push access to the new list of apps. Only installed GitHub Apps with `write` access to the `contents` permission can be added as authorized actors on a protected branch.
-     *
-     * | Type    | Description                                                                                                                                                |
-     * | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------- |
-     * | `array` | The GitHub Apps that have push access to this branch. Use the app's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    replaceProtectedBranchAppRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposReplaceProtectedBranchAppRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposReplaceProtectedBranchAppRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     */
-    replaceProtectedBranchRequiredStatusChecksContexts: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposReplaceProtectedBranchRequiredStatusChecksContextsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposReplaceProtectedBranchRequiredStatusChecksContextsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Replaces the list of teams that have push access to this branch. This removes all teams that previously had push access and grants push access to the new list of teams. Team restrictions include child teams.
-     *
-     * | Type    | Description                                                                                                                                |
-     * | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
-     * | `array` | The teams that can have push access. Use the team's `slug`. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    replaceProtectedBranchTeamRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposReplaceProtectedBranchTeamRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposReplaceProtectedBranchTeamRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Replaces the list of people that have push access to this branch. This removes all people that previously had push access and grants push access to the new list of people.
-     *
-     * | Type    | Description                                                                                                                   |
-     * | ------- | ----------------------------------------------------------------------------------------------------------------------------- |
-     * | `array` | Usernames for people who can have push access. **Note**: The list of users, apps, and teams in total is limited to 100 items. |
-     */
-    replaceProtectedBranchUserRestrictions: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposReplaceProtectedBranchUserRestrictionsParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposReplaceProtectedBranchUserRestrictionsResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    replaceTopics: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposReplaceTopicsParams
-      ): Promise<Octokit.Response<Octokit.ReposReplaceTopicsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * You can request that your site be built from the latest revision on the default branch. This has the same effect as pushing a commit to your default branch, but does not require an additional commit. Manually triggering page builds can be helpful when diagnosing build warnings and failures.
-     *
-     * Build requests are limited to one concurrent build per repository and one concurrent build per requester. If you request a build while another is still in progress, the second request will be queued until the first completes.
-     */
-    requestPageBuild: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposRequestPageBuildParams
-      ): Promise<Octokit.Response<Octokit.ReposRequestPageBuildResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint will return all community profile metrics, including an overall health score, repository description, the presence of documentation, detected code of conduct, detected license, and the presence of ISSUE\_TEMPLATE, PULL\_REQUEST\_TEMPLATE, README, and CONTRIBUTING files.
-     */
-    retrieveCommunityProfileMetrics: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposRetrieveCommunityProfileMetricsParams
-      ): Promise<
-        Octokit.Response<Octokit.ReposRetrieveCommunityProfileMetricsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This will trigger the hook with the latest push to the current repository if the hook is subscribed to `push` events. If the hook is not subscribed to `push` events, the server will respond with 204 but no test POST will be generated.
-     *
-     * **Note**: Previously `/repos/:owner/:repo/hooks/:hook_id/test`
-     */
-    testPushHook: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposTestPushHookParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * A transfer request will need to be accepted by the new owner when transferring a personal repository to another user. The response will contain the original `owner`, and the transfer will continue asynchronously. For more details on the requirements to transfer personal and organization-owned repositories, see [about repository transfers](https://help.github.com/articles/about-repository-transfers/).
-     */
-    transfer: {
-      (params?: Octokit.RequestOptions & Octokit.ReposTransferParams): Promise<
-        Octokit.Response<Octokit.ReposTransferResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: To edit a repository's topics, use the [`topics` endpoint](https://developer.github.com/v3/repos/#replace-all-topics-for-a-repository).
-     */
-    update: {
-      (params?: Octokit.RequestOptions & Octokit.ReposUpdateParams): Promise<
-        Octokit.Response<Octokit.ReposUpdateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Protecting a branch requires admin or owner permissions to the repository.
-     *
-     * **Note**: Passing new arrays of `users` and `teams` replaces their previous values.
-     *
-     * **Note**: The list of users, apps, and teams in total is limited to 100 items.
-     */
-    updateBranchProtection: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposUpdateBranchProtectionParams
-      ): Promise<Octokit.Response<Octokit.ReposUpdateBranchProtectionResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateCommitComment: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposUpdateCommitCommentParams
-      ): Promise<Octokit.Response<Octokit.ReposUpdateCommitCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new file or updates an existing file in a repository.
-     * @deprecated octokit.repos.updateFile() has been renamed to octokit.repos.createOrUpdateFile() (2019-06-07)
-     */
-    updateFile: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposUpdateFileParams
-      ): Promise<Octokit.Response<Octokit.ReposUpdateFileResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateHook: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposUpdateHookParams
-      ): Promise<Octokit.Response<Octokit.ReposUpdateHookResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateInformationAboutPagesSite: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposUpdateInformationAboutPagesSiteParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    updateInvitation: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposUpdateInvitationParams
-      ): Promise<Octokit.Response<Octokit.ReposUpdateInvitationResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Updating pull request review enforcement requires admin or owner permissions to the repository and branch protection to be enabled.
-     *
-     * **Note**: Passing new arrays of `users` and `teams` replaces their previous values.
-     */
-    updateProtectedBranchPullRequestReviewEnforcement: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposUpdateProtectedBranchPullRequestReviewEnforcementParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposUpdateProtectedBranchPullRequestReviewEnforcementResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Protected branches are available in public repositories with GitHub Free, and in public and private repositories with GitHub Pro, GitHub Team, and GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Updating required status checks requires admin or owner permissions to the repository and branch protection to be enabled.
-     */
-    updateProtectedBranchRequiredStatusChecks: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposUpdateProtectedBranchRequiredStatusChecksParams
-      ): Promise<
-        Octokit.Response<
-          Octokit.ReposUpdateProtectedBranchRequiredStatusChecksResponse
-        >
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with push access to the repository can edit a release.
-     */
-    updateRelease: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposUpdateReleaseParams
-      ): Promise<Octokit.Response<Octokit.ReposUpdateReleaseResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Users with push access to the repository can edit a release asset.
-     */
-    updateReleaseAsset: {
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposUpdateReleaseAssetParams
-      ): Promise<Octokit.Response<Octokit.ReposUpdateReleaseAssetResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint makes use of [a Hypermedia relation](https://developer.github.com/v3/#hypermedia) to determine which URL to access. The endpoint you call to upload release assets is specific to your release. Use the `upload_url` returned in the response of the [Create a release endpoint](https://developer.github.com/v3/repos/releases/#create-a-release) to upload a release asset.
-     *
-     * You need to use an HTTP client which supports [SNI](http://en.wikipedia.org/wiki/Server_Name_Indication) to make calls to this endpoint.
-     *
-     * Most libraries will set the required `Content-Length` header automatically. Use the required `Content-Type` header to provide the media type of the asset. For a list of media types, see [Media Types](https://www.iana.org/assignments/media-types/media-types.xhtml). For example:
-     *
-     * `application/zip`
-     *
-     * GitHub expects the asset data in its raw binary form, rather than JSON. You will send the raw binary content of the asset as the request body. Everything else about the endpoint is the same as the rest of the API. For example, you'll still need to pass your authentication to be able to upload an asset.
-     */
-    uploadReleaseAsset: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.ReposUploadReleaseAssetParamsDeprecatedFile
-      ): Promise<Octokit.Response<Octokit.ReposUploadReleaseAssetResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.ReposUploadReleaseAssetParams
-      ): Promise<Octokit.Response<Octokit.ReposUploadReleaseAssetResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  search: {
-    /**
-     * Find file contents via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-     *
-     * When searching for code, you can get text match metadata for the file **content** and file **path** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-     *
-     * **Note:** You must [authenticate](https://developer.github.com/v3/#authentication) to search for code across all public repositories.
-     *
-     * **Considerations for code search**
-     *
-     * Due to the complexity of searching code, there are a few restrictions on how searches are performed:
-     *
-     * *   Only the _default branch_ is considered. In most cases, this will be the `master` branch.
-     * *   Only files smaller than 384 KB are searchable.
-     * *   You must always include at least one search term when searching source code. For example, searching for [`language:go`](https://github.com/search?utf8=%E2%9C%93&q=language%3Ago&type=Code) is not valid, while [`amazing language:go`](https://github.com/search?utf8=%E2%9C%93&q=amazing+language%3Ago&type=Code) is.
-     *
-     * Suppose you want to find the definition of the `addClass` function inside [jQuery](https://github.com/jquery/jquery). Your query would look something like this:
-     *
-     * Here, we're searching for the keyword `addClass` within a file's contents. We're making sure that we're only looking in files where the language is JavaScript. And we're scoping the search to the `repo:jquery/jquery` repository.
-     */
-    code: {
-      (params?: Octokit.RequestOptions & Octokit.SearchCodeParams): Promise<
-        Octokit.Response<Octokit.SearchCodeResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find commits via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-     *
-     * When searching for commits, you can get text match metadata for the **message** field when you provide the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-     *
-     * **Considerations for commit search**
-     *
-     * Only the _default branch_ is considered. In most cases, this will be the `master` branch.
-     *
-     * Suppose you want to find commits related to CSS in the [octocat/Spoon-Knife](https://github.com/octocat/Spoon-Knife) repository. Your query would look something like this:
-     */
-    commits: {
-      (params?: Octokit.RequestOptions & Octokit.SearchCommitsParams): Promise<
-        Octokit.Response<Octokit.SearchCommitsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This API call is added for compatibility reasons only. There's no guarantee that full email searches will always be available. The `@` character in the address must be left unencoded. Searches only against public email addresses (as configured on the user's GitHub profile).
-     * @deprecated octokit.search.emailLegacy() is deprecated, see https://developer.github.com/v3/search/legacy/#email-search
-     */
-    emailLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.SearchEmailLegacyParams
-      ): Promise<Octokit.Response<Octokit.SearchEmailLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find issues by state and keyword. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-     *
-     * When searching for issues, you can get text match metadata for the issue **title**, issue **body**, and issue **comment body** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-     *
-     * Let's say you want to find the oldest unresolved Python bugs on Windows. Your query might look something like this.
-     *
-     * In this query, we're searching for the keyword `windows`, within any open issue that's labeled as `bug`. The search runs across repositories whose primary language is Python. We’re sorting by creation date in ascending order, so that the oldest issues appear first in the search results.
-     * @deprecated octokit.search.issues() has been renamed to octokit.search.issuesAndPullRequests() (2018-12-27)
-     */
-    issues: {
-      (params?: Octokit.RequestOptions & Octokit.SearchIssuesParams): Promise<
-        Octokit.Response<Octokit.SearchIssuesResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find issues by state and keyword. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-     *
-     * When searching for issues, you can get text match metadata for the issue **title**, issue **body**, and issue **comment body** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-     *
-     * Let's say you want to find the oldest unresolved Python bugs on Windows. Your query might look something like this.
-     *
-     * In this query, we're searching for the keyword `windows`, within any open issue that's labeled as `bug`. The search runs across repositories whose primary language is Python. We’re sorting by creation date in ascending order, so that the oldest issues appear first in the search results.
-     */
-    issuesAndPullRequests: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.SearchIssuesAndPullRequestsParams
-      ): Promise<Octokit.Response<Octokit.SearchIssuesAndPullRequestsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find issues by state and keyword.
-     * @deprecated octokit.search.issuesLegacy() is deprecated, see https://developer.github.com/v3/search/legacy/#search-issues
-     */
-    issuesLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.SearchIssuesLegacyParams
-      ): Promise<Octokit.Response<Octokit.SearchIssuesLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find labels in a repository with names or descriptions that match search keywords. Returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-     *
-     * When searching for labels, you can get text match metadata for the label **name** and **description** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-     *
-     * Suppose you want to find labels in the `linguist` repository that match `bug`, `defect`, or `enhancement`. Your query might look like this:
-     *
-     * The labels that best match for the query appear first in the search results.
-     */
-    labels: {
-      (params?: Octokit.RequestOptions & Octokit.SearchLabelsParams): Promise<
-        Octokit.Response<Octokit.SearchLabelsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find repositories via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-     *
-     * When searching for repositories, you can get text match metadata for the **name** and **description** fields when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-     *
-     * Suppose you want to search for popular Tetris repositories written in Assembly. Your query might look like this.
-     *
-     * You can search for multiple topics by adding more `topic:` instances, and including the `mercy-preview` header. For example:
-     *
-     * In this request, we're searching for repositories with the word `tetris` in the name, the description, or the README. We're limiting the results to only find repositories where the primary language is Assembly. We're sorting by stars in descending order, so that the most popular repositories appear first in the search results.
-     */
-    repos: {
-      (params?: Octokit.RequestOptions & Octokit.SearchReposParams): Promise<
-        Octokit.Response<Octokit.SearchReposResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find repositories by keyword. Note, this legacy method does not follow the v3 pagination pattern. This method returns up to 100 results per page and pages can be fetched using the `start_page` parameter.
-     * @deprecated octokit.search.reposLegacy() is deprecated, see https://developer.github.com/v3/search/legacy/#search-repositories
-     */
-    reposLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.SearchReposLegacyParams
-      ): Promise<Octokit.Response<Octokit.SearchReposLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find topics via various criteria. Results are sorted by best match. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-     *
-     * When searching for topics, you can get text match metadata for the topic's **short\_description**, **description**, **name**, or **display\_name** field when you pass the `text-match` media type. For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-     *
-     * See "[Searching topics](https://help.github.com/articles/searching-topics/)" for a detailed list of qualifiers.
-     *
-     * Suppose you want to search for topics related to Ruby that are featured on [https://github.com/topics](https://github.com/topics). Your query might look like this:
-     *
-     * In this request, we're searching for topics with the keyword `ruby`, and we're limiting the results to find only topics that are featured. The topics that are the best match for the query appear first in the search results.
-     *
-     * **Note:** A search for featured Ruby topics only has 6 total results, so a [Link header](https://developer.github.com/v3/#link-header) indicating pagination is not included in the response.
-     */
-    topics: {
-      (params?: Octokit.RequestOptions & Octokit.SearchTopicsParams): Promise<
-        Octokit.Response<Octokit.SearchTopicsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find users via various criteria. This method returns up to 100 results [per page](https://developer.github.com/v3/#pagination).
-     *
-     * When searching for users, you can get text match metadata for the issue **login**, **email**, and **name** fields when you pass the `text-match` media type. For more details about highlighting search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata). For more details about how to receive highlighted search results, see [Text match metadata](https://developer.github.com/v3/search/#text-match-metadata).
-     *
-     * Imagine you're looking for a list of popular users. You might try out this query:
-     *
-     * Here, we're looking at users with the name Tom. We're only interested in those with more than 42 repositories, and only if they have over 1,000 followers.
-     */
-    users: {
-      (params?: Octokit.RequestOptions & Octokit.SearchUsersParams): Promise<
-        Octokit.Response<Octokit.SearchUsersResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Find users by keyword.
-     * @deprecated octokit.search.usersLegacy() is deprecated, see https://developer.github.com/v3/search/legacy/#search-users
-     */
-    usersLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.SearchUsersLegacyParams
-      ): Promise<Octokit.Response<Octokit.SearchUsersLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  teams: {
-    /**
-     * The "Add team member" endpoint (described below) is deprecated.
-     *
-     * We recommend using the [Add team membership](https://developer.github.com/v3/teams/members/#add-or-update-team-membership) endpoint instead. It allows you to invite new organization members to your teams.
-     *
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To add someone to a team, the authenticated user must be an organization owner or a team maintainer in the team they're changing. The person being added to the team must be a member of the team's organization.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     *
-     * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     * @deprecated octokit.teams.addMember() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy
-     */
-    addMember: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsAddMemberParams): Promise<
-        Octokit.Response<Octokit.TeamsAddMemberResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The "Add team member" endpoint (described below) is deprecated.
-     *
-     * We recommend using the [Add team membership](https://developer.github.com/v3/teams/members/#add-or-update-team-membership) endpoint instead. It allows you to invite new organization members to your teams.
-     *
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To add someone to a team, the authenticated user must be an organization owner or a team maintainer in the team they're changing. The person being added to the team must be a member of the team's organization.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     *
-     * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     * @deprecated octokit.teams.addMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-team-member-legacy
-     */
-    addMemberLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsAddMemberLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsAddMemberLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team membership`](https://developer.github.com/v3/teams/members/#add-or-update-team-membership) endpoint.
-     *
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * If the user is already a member of the team's organization, this endpoint will add the user to the team. To add a membership between an organization member and a team, the authenticated user must be an organization owner or a team maintainer.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     *
-     * If the user is unaffiliated with the team's organization, this endpoint will send an invitation to the user via email. This newly-created membership will be in the "pending" state until the user accepts the invitation, at which point the membership will transition to the "active" state and the user will be added as a member of the team. To add a membership between an unaffiliated user and a team, the authenticated user must be an organization owner.
-     *
-     * If the user is already a member of the team, this endpoint will update the role of the team member's role. To update the membership of a team member, the authenticated user must be an organization owner or a team maintainer.
-     * @deprecated octokit.teams.addOrUpdateMembership() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy
-     */
-    addOrUpdateMembership: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsAddOrUpdateMembershipParams
-      ): Promise<Octokit.Response<Octokit.TeamsAddOrUpdateMembershipResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * Adds an organization member to a team. An authenticated organization owner or team maintainer can add organization members to a team.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     *
-     * An organization owner can add someone who is not part of the team's organization to a team. When an organization owner adds someone to a team who is not an organization member, this endpoint will send an invitation to the person via email. This newly-created membership will be in the "pending" state until the person accepts the invitation, at which point the membership will transition to the "active" state and the user will be added as a member of the team.
-     *
-     * If the user is already a member of the team, this endpoint will update the role of the team member's role. To update the membership of a team member, the authenticated user must be an organization owner or a team maintainer.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/:org_id/team/:team_id/memberships/:username`.
-     */
-    addOrUpdateMembershipInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsAddOrUpdateMembershipInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsAddOrUpdateMembershipInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team membership`](https://developer.github.com/v3/teams/members/#add-or-update-team-membership) endpoint.
-     *
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * If the user is already a member of the team's organization, this endpoint will add the user to the team. To add a membership between an organization member and a team, the authenticated user must be an organization owner or a team maintainer.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     *
-     * If the user is unaffiliated with the team's organization, this endpoint will send an invitation to the user via email. This newly-created membership will be in the "pending" state until the user accepts the invitation, at which point the membership will transition to the "active" state and the user will be added as a member of the team. To add a membership between an unaffiliated user and a team, the authenticated user must be an organization owner.
-     *
-     * If the user is already a member of the team, this endpoint will update the role of the team member's role. To update the membership of a team member, the authenticated user must be an organization owner or a team maintainer.
-     * @deprecated octokit.teams.addOrUpdateMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-legacy
-     */
-    addOrUpdateMembershipLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsAddOrUpdateMembershipLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsAddOrUpdateMembershipLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team project`](https://developer.github.com/v3/teams/#add-or-update-team-project) endpoint.
-     *
-     * Adds an organization project to a team. To add a project to a team or update the team's permission on a project, the authenticated user must have `admin` permissions for the project. The project and team must be part of the same organization.
-     * @deprecated octokit.teams.addOrUpdateProject() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy
-     */
-    addOrUpdateProject: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsAddOrUpdateProjectParams
-      ): Promise<Octokit.Response<Octokit.TeamsAddOrUpdateProjectResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Adds an organization project to a team. To add a project to a team or update the team's permission on a project, the authenticated user must have `admin` permissions for the project. The project and team must be part of the same organization.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/:org_id/team/:team_id/projects/:project_id`.
-     */
-    addOrUpdateProjectInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsAddOrUpdateProjectInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsAddOrUpdateProjectInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team project`](https://developer.github.com/v3/teams/#add-or-update-team-project) endpoint.
-     *
-     * Adds an organization project to a team. To add a project to a team or update the team's permission on a project, the authenticated user must have `admin` permissions for the project. The project and team must be part of the same organization.
-     * @deprecated octokit.teams.addOrUpdateProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-project-legacy
-     */
-    addOrUpdateProjectLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsAddOrUpdateProjectLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsAddOrUpdateProjectLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team repository`](https://developer.github.com/v3/teams/#add-or-update-team-repository) endpoint.
-     *
-     * To add a repository to a team or update the team's permission on a repository, the authenticated user must have admin access to the repository, and must be able to see the team. The repository must be owned by the organization, or a direct fork of a repository owned by the organization. You will get a `422 Unprocessable Entity` status if you attempt to add a repository to a team that is not owned by the organization.
-     *
-     * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     * @deprecated octokit.teams.addOrUpdateRepo() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy
-     */
-    addOrUpdateRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsAddOrUpdateRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * To add a repository to a team or update the team's permission on a repository, the authenticated user must have admin access to the repository, and must be able to see the team. The repository must be owned by the organization, or a direct fork of a repository owned by the organization. You will get a `422 Unprocessable Entity` status if you attempt to add a repository to a team that is not owned by the organization. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PUT /organizations/:org_id/team/:team_id/repos/:owner/:repo`.
-     */
-    addOrUpdateRepoInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsAddOrUpdateRepoInOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Add or update team repository`](https://developer.github.com/v3/teams/#add-or-update-team-repository) endpoint.
-     *
-     * To add a repository to a team or update the team's permission on a repository, the authenticated user must have admin access to the repository, and must be able to see the team. The repository must be owned by the organization, or a direct fork of a repository owned by the organization. You will get a `422 Unprocessable Entity` status if you attempt to add a repository to a team that is not owned by the organization.
-     *
-     * Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     * @deprecated octokit.teams.addOrUpdateRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#add-or-update-team-repository-legacy
-     */
-    addOrUpdateRepoLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsAddOrUpdateRepoLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: Repositories inherited through a parent team will also be checked.
-     *
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Check if a team manages a repository`](https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository) endpoint.
-     *
-     * You can also get information about the specified repository, including what permissions the team grants on it, by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-     * @deprecated octokit.teams.checkManagesRepo() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy
-     */
-    checkManagesRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsCheckManagesRepoParams
-      ): Promise<Octokit.Response<Octokit.TeamsCheckManagesRepoResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Checks whether a team has `admin`, `push`, or `pull` permission for a repository. Repositories inherited through a parent team will also be checked.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/repos/:owner/:repo`.
-     *
-     * You can also get information about the specified repository, including what permissions the team grants on it, by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-     */
-    checkManagesRepoInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsCheckManagesRepoInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsCheckManagesRepoInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note**: Repositories inherited through a parent team will also be checked.
-     *
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Check if a team manages a repository`](https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository) endpoint.
-     *
-     * You can also get information about the specified repository, including what permissions the team grants on it, by passing the following custom [media type](https://developer.github.com/v3/media/) via the `Accept` header:
-     * @deprecated octokit.teams.checkManagesRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#check-if-a-team-manages-a-repository-legacy
-     */
-    checkManagesRepoLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsCheckManagesRepoLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsCheckManagesRepoLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * To create a team, the authenticated user must be a member or owner of `:org`. By default, organization members can create teams. Organization owners can limit team creation to organization owners. For more information, see "[Setting team creation permissions](https://help.github.com/en/articles/setting-team-creation-permissions-in-your-organization)."
-     *
-     * When you create a new team, you automatically become a team maintainer without explicitly adding yourself to the optional array of `maintainers`. For more information, see "[About teams](https://help.github.com/en/github/setting-up-and-managing-organizations-and-teams/about-teams)" in the GitHub Help documentation.
-     */
-    create: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsCreateParamsDeprecatedPermission
-      ): Promise<Octokit.Response<Octokit.TeamsCreateResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.TeamsCreateParams): Promise<
-        Octokit.Response<Octokit.TeamsCreateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create a discussion`](https://developer.github.com/v3/teams/discussions/#create-a-discussion) endpoint.
-     *
-     * Creates a new discussion post on a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     * @deprecated octokit.teams.createDiscussion() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy
-     */
-    createDiscussion: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsCreateDiscussionParams
-      ): Promise<Octokit.Response<Octokit.TeamsCreateDiscussionResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create a comment`](https://developer.github.com/v3/teams/discussion_comments/#create-a-comment) endpoint.
-     *
-     * Creates a new comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     * @deprecated octokit.teams.createDiscussionComment() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy
-     */
-    createDiscussionComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsCreateDiscussionCommentParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsCreateDiscussionCommentResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments`.
-     */
-    createDiscussionCommentInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsCreateDiscussionCommentInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsCreateDiscussionCommentInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create a comment`](https://developer.github.com/v3/teams/discussion_comments/#create-a-comment) endpoint.
-     *
-     * Creates a new comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     * @deprecated octokit.teams.createDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#create-a-comment-legacy
-     */
-    createDiscussionCommentLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsCreateDiscussionCommentLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsCreateDiscussionCommentLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Creates a new discussion post on a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `POST /organizations/:org_id/team/:team_id/discussions`.
-     */
-    createDiscussionInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsCreateDiscussionInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsCreateDiscussionInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Create a discussion`](https://developer.github.com/v3/teams/discussions/#create-a-discussion) endpoint.
-     *
-     * Creates a new discussion post on a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * This endpoint triggers [notifications](https://help.github.com/articles/about-notifications/). Creating content too quickly using this endpoint may result in abuse rate limiting. See "[Abuse rate limits](https://developer.github.com/v3/#abuse-rate-limits)" and "[Dealing with abuse rate limits](https://developer.github.com/v3/guides/best-practices-for-integrators/#dealing-with-abuse-rate-limits)" for details.
-     * @deprecated octokit.teams.createDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy
-     */
-    createDiscussionLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsCreateDiscussionLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsCreateDiscussionLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete team`](https://developer.github.com/v3/teams/#delete-team) endpoint.
-     *
-     * To delete a team, the authenticated user must be an organization owner or team maintainer.
-     *
-     * If you are an organization owner, deleting a parent team will delete all of its child teams as well.
-     * @deprecated octokit.teams.delete() is deprecated, see https://developer.github.com/v3/teams/#delete-team-legacy
-     */
-    delete: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsDeleteParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete a discussion`](https://developer.github.com/v3/teams/discussions/#delete-a-discussion) endpoint.
-     *
-     * Delete a discussion from a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.deleteDiscussion() is deprecated, see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy
-     */
-    deleteDiscussion: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsDeleteDiscussionParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete a comment`](https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment) endpoint.
-     *
-     * Deletes a comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.deleteDiscussionComment() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy
-     */
-    deleteDiscussionComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsDeleteDiscussionCommentParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Deletes a comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number`.
-     */
-    deleteDiscussionCommentInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsDeleteDiscussionCommentInOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete a comment`](https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment) endpoint.
-     *
-     * Deletes a comment on a team discussion. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.deleteDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#delete-a-comment-legacy
-     */
-    deleteDiscussionCommentLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsDeleteDiscussionCommentLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Delete a discussion from a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/discussions/:discussion_number`.
-     */
-    deleteDiscussionInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsDeleteDiscussionInOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete a discussion`](https://developer.github.com/v3/teams/discussions/#delete-a-discussion) endpoint.
-     *
-     * Delete a discussion from a team's page. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.deleteDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy
-     */
-    deleteDiscussionLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsDeleteDiscussionLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * To delete a team, the authenticated user must be an organization owner or team maintainer.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id`.
-     *
-     * If you are an organization owner, deleting a parent team will delete all of its child teams as well.
-     */
-    deleteInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsDeleteInOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Delete team`](https://developer.github.com/v3/teams/#delete-team) endpoint.
-     *
-     * To delete a team, the authenticated user must be an organization owner or team maintainer.
-     *
-     * If you are an organization owner, deleting a parent team will delete all of its child teams as well.
-     * @deprecated octokit.teams.deleteLegacy() is deprecated, see https://developer.github.com/v3/teams/#delete-team-legacy
-     */
-    deleteLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsDeleteLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the [`Get team by name`](https://developer.github.com/v3/teams/#get-team-by-name) endpoint.
-     * @deprecated octokit.teams.get() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy
-     */
-    get: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsGetParams): Promise<
-        Octokit.Response<Octokit.TeamsGetResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Gets a team using the team's `slug`. GitHub generates the `slug` from the team `name`.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id`.
-     */
-    getByName: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsGetByNameParams): Promise<
-        Octokit.Response<Octokit.TeamsGetByNameResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get a single discussion`](https://developer.github.com/v3/teams/discussions/#get-a-single-discussion) endpoint.
-     *
-     * Get a specific discussion on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.getDiscussion() is deprecated, see https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy
-     */
-    getDiscussion: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsGetDiscussionParams
-      ): Promise<Octokit.Response<Octokit.TeamsGetDiscussionResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get a single comment`](https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment) endpoint.
-     *
-     * Get a specific comment on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.getDiscussionComment() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy
-     */
-    getDiscussionComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsGetDiscussionCommentParams
-      ): Promise<Octokit.Response<Octokit.TeamsGetDiscussionCommentResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Get a specific comment on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number`.
-     */
-    getDiscussionCommentInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsGetDiscussionCommentInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsGetDiscussionCommentInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get a single comment`](https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment) endpoint.
-     *
-     * Get a specific comment on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.getDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#get-a-single-comment-legacy
-     */
-    getDiscussionCommentLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsGetDiscussionCommentLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsGetDiscussionCommentLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Get a specific discussion on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number`.
-     */
-    getDiscussionInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsGetDiscussionInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsGetDiscussionInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get a single discussion`](https://developer.github.com/v3/teams/discussions/#get-a-single-discussion) endpoint.
-     *
-     * Get a specific discussion on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.getDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#get-a-single-discussion-legacy
-     */
-    getDiscussionLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsGetDiscussionLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsGetDiscussionLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the [`Get team by name`](https://developer.github.com/v3/teams/#get-team-by-name) endpoint.
-     * @deprecated octokit.teams.getLegacy() is deprecated, see https://developer.github.com/v3/teams/#get-team-legacy
-     */
-    getLegacy: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsGetLegacyParams): Promise<
-        Octokit.Response<Octokit.TeamsGetLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The "Get team member" endpoint (described below) is deprecated.
-     *
-     * We recommend using the [Get team membership](https://developer.github.com/v3/teams/members/#get-team-membership) endpoint instead. It allows you to get both active and pending memberships.
-     *
-     * To list members in a team, the team must be visible to the authenticated user.
-     * @deprecated octokit.teams.getMember() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy
-     */
-    getMember: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsGetMemberParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The "Get team member" endpoint (described below) is deprecated.
-     *
-     * We recommend using the [Get team membership](https://developer.github.com/v3/teams/members/#get-team-membership) endpoint instead. It allows you to get both active and pending memberships.
-     *
-     * To list members in a team, the team must be visible to the authenticated user.
-     * @deprecated octokit.teams.getMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-member-legacy
-     */
-    getMemberLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsGetMemberLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get team membership`](https://developer.github.com/v3/teams/members/#get-team-membership) endpoint.
-     *
-     * Team members will include the members of child teams.
-     *
-     * To get a user's membership with a team, the team must be visible to the authenticated user.
-     *
-     * **Note:** The `role` for organization owners returns as `maintainer`. For more information about `maintainer` roles, see [Create team](https://developer.github.com/v3/teams#create-team).
-     * @deprecated octokit.teams.getMembership() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-membership-legacy
-     */
-    getMembership: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsGetMembershipParams
-      ): Promise<Octokit.Response<Octokit.TeamsGetMembershipResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Team members will include the members of child teams.
-     *
-     * To get a user's membership with a team, the team must be visible to the authenticated user.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/memberships/:username`.
-     *
-     * **Note:** The `role` for organization owners returns as `maintainer`. For more information about `maintainer` roles, see [Create team](https://developer.github.com/v3/teams#create-team).
-     */
-    getMembershipInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsGetMembershipInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsGetMembershipInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Get team membership`](https://developer.github.com/v3/teams/members/#get-team-membership) endpoint.
-     *
-     * Team members will include the members of child teams.
-     *
-     * To get a user's membership with a team, the team must be visible to the authenticated user.
-     *
-     * **Note:** The `role` for organization owners returns as `maintainer`. For more information about `maintainer` roles, see [Create team](https://developer.github.com/v3/teams#create-team).
-     * @deprecated octokit.teams.getMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#get-team-membership-legacy
-     */
-    getMembershipLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsGetMembershipLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsGetMembershipLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all teams in an organization that are visible to the authenticated user.
-     */
-    list: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsListParams): Promise<
-        Octokit.Response<Octokit.TeamsListResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List child teams`](https://developer.github.com/v3/teams/#list-child-teams) endpoint.
-     *
-     *
-     * @deprecated octokit.teams.listChild() is deprecated, see https://developer.github.com/v3/teams/#list-child-teams-legacy
-     */
-    listChild: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsListChildParams): Promise<
-        Octokit.Response<Octokit.TeamsListChildResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the child teams of the team requested by `:team_slug`.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/teams`.
-     */
-    listChildInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListChildInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsListChildInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List child teams`](https://developer.github.com/v3/teams/#list-child-teams) endpoint.
-     *
-     *
-     * @deprecated octokit.teams.listChildLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-child-teams-legacy
-     */
-    listChildLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListChildLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsListChildLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List comments`](https://developer.github.com/v3/teams/discussion_comments/#list-comments) endpoint.
-     *
-     * List all comments on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.listDiscussionComments() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy
-     */
-    listDiscussionComments: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListDiscussionCommentsParams
-      ): Promise<Octokit.Response<Octokit.TeamsListDiscussionCommentsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all comments on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments`.
-     */
-    listDiscussionCommentsInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListDiscussionCommentsInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsListDiscussionCommentsInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List comments`](https://developer.github.com/v3/teams/discussion_comments/#list-comments) endpoint.
-     *
-     * List all comments on a team discussion. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.listDiscussionCommentsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#list-comments-legacy
-     */
-    listDiscussionCommentsLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListDiscussionCommentsLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsListDiscussionCommentsLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List discussions`](https://developer.github.com/v3/teams/discussions/#list-discussions) endpoint.
-     *
-     * List all discussions on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.listDiscussions() is deprecated, see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy
-     */
-    listDiscussions: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListDiscussionsParams
-      ): Promise<Octokit.Response<Octokit.TeamsListDiscussionsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all discussions on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/discussions`.
-     */
-    listDiscussionsInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListDiscussionsInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsListDiscussionsInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List discussions`](https://developer.github.com/v3/teams/discussions/#list-discussions) endpoint.
-     *
-     * List all discussions on a team's page. OAuth access tokens require the `read:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.listDiscussionsLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy
-     */
-    listDiscussionsLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListDiscussionsLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsListDiscussionsLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List all of the teams across all of the organizations to which the authenticated user belongs. This method requires `user`, `repo`, or `read:org` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/) when authenticating via [OAuth](https://developer.github.com/apps/building-oauth-apps/).
-     */
-    listForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsListForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team members`](https://developer.github.com/v3/teams/members/#list-team-members) endpoint.
-     *
-     * Team members will include the members of child teams.
-     * @deprecated octokit.teams.listMembers() is deprecated, see https://developer.github.com/v3/teams/members/#list-team-members-legacy
-     */
-    listMembers: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListMembersParams
-      ): Promise<Octokit.Response<Octokit.TeamsListMembersResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Team members will include the members of child teams.
-     *
-     * To list members in a team, the team must be visible to the authenticated user.
-     */
-    listMembersInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListMembersInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsListMembersInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team members`](https://developer.github.com/v3/teams/members/#list-team-members) endpoint.
-     *
-     * Team members will include the members of child teams.
-     * @deprecated octokit.teams.listMembersLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-team-members-legacy
-     */
-    listMembersLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListMembersLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsListMembersLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List pending team invitations`](https://developer.github.com/v3/teams/members/#list-pending-team-invitations) endpoint.
-     *
-     * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
-     * @deprecated octokit.teams.listPendingInvitations() is deprecated, see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy
-     */
-    listPendingInvitations: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListPendingInvitationsParams
-      ): Promise<Octokit.Response<Octokit.TeamsListPendingInvitationsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/invitations`.
-     */
-    listPendingInvitationsInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListPendingInvitationsInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsListPendingInvitationsInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List pending team invitations`](https://developer.github.com/v3/teams/members/#list-pending-team-invitations) endpoint.
-     *
-     * The return hash contains a `role` field which refers to the Organization Invitation role and will be one of the following values: `direct_member`, `admin`, `billing_manager`, `hiring_manager`, or `reinstate`. If the invitee is not a GitHub member, the `login` field in the return hash will be `null`.
-     * @deprecated octokit.teams.listPendingInvitationsLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy
-     */
-    listPendingInvitationsLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsListPendingInvitationsLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsListPendingInvitationsLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team projects`](https://developer.github.com/v3/teams/#list-team-projects) endpoint.
-     *
-     * Lists the organization projects for a team.
-     * @deprecated octokit.teams.listProjects() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy
-     */
-    listProjects: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListProjectsParams
-      ): Promise<Octokit.Response<Octokit.TeamsListProjectsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the organization projects for a team.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/projects`.
-     */
-    listProjectsInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListProjectsInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsListProjectsInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team projects`](https://developer.github.com/v3/teams/#list-team-projects) endpoint.
-     *
-     * Lists the organization projects for a team.
-     * @deprecated octokit.teams.listProjectsLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-projects-legacy
-     */
-    listProjectsLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListProjectsLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsListProjectsLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team repos`](https://developer.github.com/v3/teams/#list-team-repos) endpoint.
-     * @deprecated octokit.teams.listRepos() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy
-     */
-    listRepos: {
-      (params?: Octokit.RequestOptions & Octokit.TeamsListReposParams): Promise<
-        Octokit.Response<Octokit.TeamsListReposResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists a team's repositories visible to the authenticated user.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/repos`.
-     */
-    listReposInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListReposInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsListReposInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`List team repos`](https://developer.github.com/v3/teams/#list-team-repos) endpoint.
-     * @deprecated octokit.teams.listReposLegacy() is deprecated, see https://developer.github.com/v3/teams/#list-team-repos-legacy
-     */
-    listReposLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsListReposLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsListReposLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The "Remove team member" endpoint (described below) is deprecated.
-     *
-     * We recommend using the [Remove team membership](https://developer.github.com/v3/teams/members/#remove-team-membership) endpoint instead. It allows you to remove both active and pending memberships.
-     *
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To remove a team member, the authenticated user must have 'admin' permissions to the team or be an owner of the org that the team is associated with. Removing a team member does not delete the user, it just removes them from the team.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     * @deprecated octokit.teams.removeMember() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy
-     */
-    removeMember: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveMemberParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * The "Remove team member" endpoint (described below) is deprecated.
-     *
-     * We recommend using the [Remove team membership](https://developer.github.com/v3/teams/members/#remove-team-membership) endpoint instead. It allows you to remove both active and pending memberships.
-     *
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To remove a team member, the authenticated user must have 'admin' permissions to the team or be an owner of the org that the team is associated with. Removing a team member does not delete the user, it just removes them from the team.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     * @deprecated octokit.teams.removeMemberLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-member-legacy
-     */
-    removeMemberLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveMemberLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team membership`](https://developer.github.com/v3/teams/members/#remove-team-membership) endpoint.
-     *
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To remove a membership between a user and a team, the authenticated user must have 'admin' permissions to the team or be an owner of the organization that the team is associated with. Removing team membership does not delete the user, it just removes their membership from the team.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     * @deprecated octokit.teams.removeMembership() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy
-     */
-    removeMembership: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveMembershipParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To remove a membership between a user and a team, the authenticated user must have 'admin' permissions to the team or be an owner of the organization that the team is associated with. Removing team membership does not delete the user, it just removes their membership from the team.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/memberships/:username`.
-     */
-    removeMembershipInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsRemoveMembershipInOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team membership`](https://developer.github.com/v3/teams/members/#remove-team-membership) endpoint.
-     *
-     * Team synchronization is available for organizations using GitHub Enterprise Cloud. For more information, see [GitHub's products](https://help.github.com/github/getting-started-with-github/githubs-products) in the GitHub Help documentation.
-     *
-     * To remove a membership between a user and a team, the authenticated user must have 'admin' permissions to the team or be an owner of the organization that the team is associated with. Removing team membership does not delete the user, it just removes their membership from the team.
-     *
-     * **Note:** When you have team synchronization set up for a team with your organization's identity provider (IdP), you will see an error if you attempt to use the API for making changes to the team's membership. If you have access to manage group membership in your IdP, you can manage GitHub team membership through your identity provider, which automatically adds and removes team members in an organization. For more information, see "[Synchronizing teams between your identity provider and GitHub](https://help.github.com/articles/synchronizing-teams-between-your-identity-provider-and-github/)."
-     * @deprecated octokit.teams.removeMembershipLegacy() is deprecated, see https://developer.github.com/v3/teams/members/#remove-team-membership-legacy
-     */
-    removeMembershipLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsRemoveMembershipLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team project`](https://developer.github.com/v3/teams/#remove-team-project) endpoint.
-     *
-     * Removes an organization project from a team. An organization owner or a team maintainer can remove any project from the team. To remove a project from a team as an organization member, the authenticated user must have `read` access to both the team and project, or `admin` access to the team or project. **Note:** This endpoint removes the project from the team, but does not delete it.
-     * @deprecated octokit.teams.removeProject() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy
-     */
-    removeProject: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveProjectParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removes an organization project from a team. An organization owner or a team maintainer can remove any project from the team. To remove a project from a team as an organization member, the authenticated user must have `read` access to both the team and project, or `admin` access to the team or project. This endpoint removes the project from the team, but does not delete the project.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/projects/:project_id`.
-     */
-    removeProjectInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveProjectInOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team project`](https://developer.github.com/v3/teams/#remove-team-project) endpoint.
-     *
-     * Removes an organization project from a team. An organization owner or a team maintainer can remove any project from the team. To remove a project from a team as an organization member, the authenticated user must have `read` access to both the team and project, or `admin` access to the team or project. **Note:** This endpoint removes the project from the team, but does not delete it.
-     * @deprecated octokit.teams.removeProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-project-legacy
-     */
-    removeProjectLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveProjectLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team repository`](https://developer.github.com/v3/teams/#remove-team-repository) endpoint.
-     *
-     * If the authenticated user is an organization owner or a team maintainer, they can remove any repositories from the team. To remove a repository from a team as an organization member, the authenticated user must have admin access to the repository and must be able to see the team. NOTE: This does not delete the repository, it just removes it from the team.
-     * @deprecated octokit.teams.removeRepo() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy
-     */
-    removeRepo: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveRepoParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * If the authenticated user is an organization owner or a team maintainer, they can remove any repositories from the team. To remove a repository from a team as an organization member, the authenticated user must have admin access to the repository and must be able to see the team. This does not delete the repository, it just removes it from the team.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `DELETE /organizations/:org_id/team/:team_id/repos/:owner/:repo`.
-     */
-    removeRepoInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveRepoInOrgParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Remove team repository`](https://developer.github.com/v3/teams/#remove-team-repository) endpoint.
-     *
-     * If the authenticated user is an organization owner or a team maintainer, they can remove any repositories from the team. To remove a repository from a team as an organization member, the authenticated user must have admin access to the repository and must be able to see the team. NOTE: This does not delete the repository, it just removes it from the team.
-     * @deprecated octokit.teams.removeRepoLegacy() is deprecated, see https://developer.github.com/v3/teams/#remove-team-repository-legacy
-     */
-    removeRepoLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsRemoveRepoLegacyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Review a team project`](https://developer.github.com/v3/teams/#review-a-team-project) endpoint.
-     *
-     * Checks whether a team has `read`, `write`, or `admin` permissions for an organization project. The response includes projects inherited from a parent team.
-     * @deprecated octokit.teams.reviewProject() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy
-     */
-    reviewProject: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsReviewProjectParams
-      ): Promise<Octokit.Response<Octokit.TeamsReviewProjectResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Checks whether a team has `read`, `write`, or `admin` permissions for an organization project. The response includes projects inherited from a parent team.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `GET /organizations/:org_id/team/:team_id/projects/:project_id`.
-     */
-    reviewProjectInOrg: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsReviewProjectInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsReviewProjectInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Review a team project`](https://developer.github.com/v3/teams/#review-a-team-project) endpoint.
-     *
-     * Checks whether a team has `read`, `write`, or `admin` permissions for an organization project. The response includes projects inherited from a parent team.
-     * @deprecated octokit.teams.reviewProjectLegacy() is deprecated, see https://developer.github.com/v3/teams/#review-a-team-project-legacy
-     */
-    reviewProjectLegacy: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsReviewProjectLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsReviewProjectLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit team`](https://developer.github.com/v3/teams/#edit-team) endpoint.
-     *
-     * To edit a team, the authenticated user must either be an organization owner or a team maintainer.
-     *
-     * **Note:** With nested teams, the `privacy` for parent teams cannot be `secret`.
-     * @deprecated octokit.teams.update() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy
-     */
-    update: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsUpdateParamsDeprecatedPermission
-      ): Promise<Octokit.Response<Octokit.TeamsUpdateResponse>>;
-      (params?: Octokit.RequestOptions & Octokit.TeamsUpdateParams): Promise<
-        Octokit.Response<Octokit.TeamsUpdateResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit a discussion`](https://developer.github.com/v3/teams/discussions/#edit-a-discussion) endpoint.
-     *
-     * Edits the title and body text of a discussion post. Only the parameters you provide are updated. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.updateDiscussion() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy
-     */
-    updateDiscussion: {
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsUpdateDiscussionParams
-      ): Promise<Octokit.Response<Octokit.TeamsUpdateDiscussionResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit a comment`](https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment) endpoint.
-     *
-     * Edits the body text of a discussion comment. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.updateDiscussionComment() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy
-     */
-    updateDiscussionComment: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsUpdateDiscussionCommentParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsUpdateDiscussionCommentResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Edits the body text of a discussion comment. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/:org_id/team/:team_id/discussions/:discussion_number/comments/:comment_number`.
-     */
-    updateDiscussionCommentInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsUpdateDiscussionCommentInOrgParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsUpdateDiscussionCommentInOrgResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit a comment`](https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment) endpoint.
-     *
-     * Edits the body text of a discussion comment. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.updateDiscussionCommentLegacy() is deprecated, see https://developer.github.com/v3/teams/discussion_comments/#edit-a-comment-legacy
-     */
-    updateDiscussionCommentLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsUpdateDiscussionCommentLegacyParams
-      ): Promise<
-        Octokit.Response<Octokit.TeamsUpdateDiscussionCommentLegacyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Edits the title and body text of a discussion post. Only the parameters you provide are updated. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/:org_id/team/:team_id/discussions/:discussion_number`.
-     */
-    updateDiscussionInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsUpdateDiscussionInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsUpdateDiscussionInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit a discussion`](https://developer.github.com/v3/teams/discussions/#edit-a-discussion) endpoint.
-     *
-     * Edits the title and body text of a discussion post. Only the parameters you provide are updated. OAuth access tokens require the `write:discussion` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     * @deprecated octokit.teams.updateDiscussionLegacy() is deprecated, see https://developer.github.com/v3/teams/discussions/#edit-a-discussion-legacy
-     */
-    updateDiscussionLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsUpdateDiscussionLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsUpdateDiscussionLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * To edit a team, the authenticated user must either be an organization owner or a team maintainer.
-     *
-     * **Note:** You can also specify a team by `org_id` and `team_id` using the route `PATCH /organizations/:org_id/team/:team_id`.
-     */
-    updateInOrg: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsUpdateInOrgParamsDeprecatedPermission
-      ): Promise<Octokit.Response<Octokit.TeamsUpdateInOrgResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsUpdateInOrgParams
-      ): Promise<Octokit.Response<Octokit.TeamsUpdateInOrgResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Deprecation Notice:** This endpoint route is deprecated and will be removed from the Teams API. We recommend migrating your existing code to use the new [`Edit team`](https://developer.github.com/v3/teams/#edit-team) endpoint.
-     *
-     * To edit a team, the authenticated user must either be an organization owner or a team maintainer.
-     *
-     * **Note:** With nested teams, the `privacy` for parent teams cannot be `secret`.
-     * @deprecated octokit.teams.updateLegacy() is deprecated, see https://developer.github.com/v3/teams/#edit-team-legacy
-     */
-    updateLegacy: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.TeamsUpdateLegacyParamsDeprecatedPermission
-      ): Promise<Octokit.Response<Octokit.TeamsUpdateLegacyResponse>>;
-      (
-        params?: Octokit.RequestOptions & Octokit.TeamsUpdateLegacyParams
-      ): Promise<Octokit.Response<Octokit.TeamsUpdateLegacyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-  users: {
-    /**
-     * This endpoint is accessible with the `user` scope.
-     */
-    addEmails: {
-      (params?: Octokit.RequestOptions & Octokit.UsersAddEmailsParams): Promise<
-        Octokit.Response<Octokit.UsersAddEmailsResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    block: {
-      (params?: Octokit.RequestOptions & Octokit.UsersBlockParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * If the user is blocked:
-     *
-     * If the user is not blocked:
-     */
-    checkBlocked: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersCheckBlockedParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    checkFollowing: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersCheckFollowingParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    checkFollowingForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.UsersCheckFollowingForUserParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Adds a GPG key to the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth, or OAuth with at least `write:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     */
-    createGpgKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersCreateGpgKeyParams
-      ): Promise<Octokit.Response<Octokit.UsersCreateGpgKeyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Adds a public SSH key to the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth, or OAuth with at least `write:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     */
-    createPublicKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersCreatePublicKeyParams
-      ): Promise<Octokit.Response<Octokit.UsersCreatePublicKeyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * This endpoint is accessible with the `user` scope.
-     */
-    deleteEmails: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersDeleteEmailsParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removes a GPG key from the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `admin:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     */
-    deleteGpgKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersDeleteGpgKeyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Removes a public SSH key from the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `admin:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     */
-    deletePublicKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersDeletePublicKeyParams
-      ): Promise<Octokit.AnyResponse>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Note that you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-     *
-     * Following a user requires the user to be logged in and authenticated with basic auth or OAuth with the `user:follow` scope.
-     */
-    follow: {
-      (params?: Octokit.RequestOptions & Octokit.UsersFollowParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists public and private profile information when authenticated through basic auth or OAuth with the `user` scope.
-     *
-     * Lists public profile information when authenticated through OAuth without the `user` scope.
-     */
-    getAuthenticated: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.UsersGetAuthenticatedResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Provides publicly available information about someone with a GitHub account.
-     *
-     * GitHub Apps with the `Plan` user permission can use this endpoint to retrieve information about a user's GitHub plan. The GitHub App must be authenticated as a user. See "[Identifying and authorizing users for GitHub Apps](https://developer.github.com/apps/building-github-apps/identifying-and-authorizing-users-for-github-apps/)" for details about authentication. For an example response, see "[Response with GitHub plan information](https://developer.github.com/v3/users/#response-with-github-plan-information)."
-     *
-     * The `email` key in the following response is the publicly visible email address from your GitHub [profile page](https://github.com/settings/profile). When setting up your profile, you can select a primary email address to be “public” which provides an email entry for this endpoint. If you do not set a public email address for `email`, then it will have a value of `null`. You only see publicly visible email addresses when authenticated with GitHub. For more information, see [Authentication](https://developer.github.com/v3/#authentication).
-     *
-     * The Emails API enables you to list all of your email addresses, and toggle a primary email to be visible publicly. For more information, see "[Emails API](https://developer.github.com/v3/users/emails/)".
-     */
-    getByUsername: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersGetByUsernameParams
-      ): Promise<Octokit.Response<Octokit.UsersGetByUsernameResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Provides hovercard information when authenticated through basic auth or OAuth with the `repo` scope. You can find out more about someone in relation to their pull requests, issues, repositories, and organizations.
-     *
-     * The `subject_type` and `subject_id` parameters provide context for the person's hovercard, which returns more information than without the parameters. For example, if you wanted to find out more about `octocat` who owns the `Spoon-Knife` repository via cURL, it would look like this:
-     */
-    getContextForUser: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersGetContextForUserParams
-      ): Promise<Octokit.Response<Octokit.UsersGetContextForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * View extended details for a single GPG key. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     */
-    getGpgKey: {
-      (params?: Octokit.RequestOptions & Octokit.UsersGetGpgKeyParams): Promise<
-        Octokit.Response<Octokit.UsersGetGpgKeyResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * View extended details for a single public SSH key. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     */
-    getPublicKey: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersGetPublicKeyParams
-      ): Promise<Octokit.Response<Octokit.UsersGetPublicKeyResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all users, in the order that they signed up on GitHub. This list includes personal user accounts and organization accounts.
-     *
-     * Note: Pagination is powered exclusively by the `since` parameter. Use the [Link header](https://developer.github.com/v3/#link-header) to get the URL for the next page of users.
-     */
-    list: {
-      (params?: Octokit.RequestOptions & Octokit.UsersListParams): Promise<
-        Octokit.Response<Octokit.UsersListResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * List the users you've blocked on your personal account.
-     */
-    listBlocked: {
-      (params?: Octokit.RequestOptions & Octokit.EmptyParams): Promise<
-        Octokit.Response<Octokit.UsersListBlockedResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists all of your email addresses, and specifies which one is visible to the public. This endpoint is accessible with the `user:email` scope.
-     */
-    listEmails: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersListEmailsParams
-      ): Promise<Octokit.Response<Octokit.UsersListEmailsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listFollowersForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.UsersListFollowersForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.UsersListFollowersForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listFollowersForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.UsersListFollowersForUserParams
-      ): Promise<Octokit.Response<Octokit.UsersListFollowersForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listFollowingForAuthenticatedUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.UsersListFollowingForAuthenticatedUserParams
-      ): Promise<
-        Octokit.Response<Octokit.UsersListFollowingForAuthenticatedUserResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    listFollowingForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.UsersListFollowingForUserParams
-      ): Promise<Octokit.Response<Octokit.UsersListFollowingForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the current user's GPG keys. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:gpg_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     */
-    listGpgKeys: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersListGpgKeysParams
-      ): Promise<Octokit.Response<Octokit.UsersListGpgKeysResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the GPG keys for a user. This information is accessible by anyone.
-     */
-    listGpgKeysForUser: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersListGpgKeysForUserParams
-      ): Promise<Octokit.Response<Octokit.UsersListGpgKeysForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists your publicly visible email address, which you can set with the [Toggle primary email visibility](https://developer.github.com/v3/users/emails/#toggle-primary-email-visibility) endpoint. This endpoint is accessible with the `user:email` scope.
-     */
-    listPublicEmails: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersListPublicEmailsParams
-      ): Promise<Octokit.Response<Octokit.UsersListPublicEmailsResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the public SSH keys for the authenticated user's GitHub account. Requires that you are authenticated via Basic Auth or via OAuth with at least `read:public_key` [scope](https://developer.github.com/apps/building-oauth-apps/understanding-scopes-for-oauth-apps/).
-     */
-    listPublicKeys: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersListPublicKeysParams
-      ): Promise<Octokit.Response<Octokit.UsersListPublicKeysResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Lists the _verified_ public SSH keys for a user. This is accessible by anyone.
-     */
-    listPublicKeysForUser: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.UsersListPublicKeysForUserParams
-      ): Promise<Octokit.Response<Octokit.UsersListPublicKeysForUserResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Sets the visibility for your primary email addresses.
-     */
-    togglePrimaryEmailVisibility: {
-      (
-        params?: Octokit.RequestOptions &
-          Octokit.UsersTogglePrimaryEmailVisibilityParams
-      ): Promise<
-        Octokit.Response<Octokit.UsersTogglePrimaryEmailVisibilityResponse>
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-
-    unblock: {
-      (params?: Octokit.RequestOptions & Octokit.UsersUnblockParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * Unfollowing a user requires the user to be logged in and authenticated with basic auth or OAuth with the `user:follow` scope.
-     */
-    unfollow: {
-      (params?: Octokit.RequestOptions & Octokit.UsersUnfollowParams): Promise<
-        Octokit.AnyResponse
-      >;
-
-      endpoint: Octokit.Endpoint;
-    };
-    /**
-     * **Note:** If your email is set to private and you send an `email` parameter as part of this request to update your profile, your privacy settings are still enforced: the email address will not be displayed on your public profile or via the API.
-     */
-    updateAuthenticated: {
-      (
-        params?: Octokit.RequestOptions & Octokit.UsersUpdateAuthenticatedParams
-      ): Promise<Octokit.Response<Octokit.UsersUpdateAuthenticatedResponse>>;
-
-      endpoint: Octokit.Endpoint;
-    };
-  };
-}
diff --git a/node_modules/@octokit/rest/index.js b/node_modules/@octokit/rest/index.js
deleted file mode 100644
index a2d30691a..000000000
--- a/node_modules/@octokit/rest/index.js
+++ /dev/null
@@ -1,43 +0,0 @@
-const { requestLog } = require("@octokit/plugin-request-log");
-const {
-  restEndpointMethods
-} = require("@octokit/plugin-rest-endpoint-methods");
-
-const Core = require("./lib/core");
-
-const CORE_PLUGINS = [
-  require("./plugins/authentication"),
-  require("./plugins/authentication-deprecated"), // deprecated: remove in v17
-  requestLog,
-  require("./plugins/pagination"),
-  restEndpointMethods,
-  require("./plugins/validate"),
-
-  require("octokit-pagination-methods") // deprecated: remove in v17
-];
-
-const OctokitRest = Core.plugin(CORE_PLUGINS);
-
-function DeprecatedOctokit(options) {
-  const warn =
-    options && options.log && options.log.warn
-      ? options.log.warn
-      : console.warn;
-  warn(
-    '[@octokit/rest] `const Octokit = require("@octokit/rest")` is deprecated. Use `const { Octokit } = require("@octokit/rest")` instead'
-  );
-  return new OctokitRest(options);
-}
-
-const Octokit = Object.assign(DeprecatedOctokit, {
-  Octokit: OctokitRest
-});
-
-Object.keys(OctokitRest).forEach(key => {
-  /* istanbul ignore else */
-  if (OctokitRest.hasOwnProperty(key)) {
-    Octokit[key] = OctokitRest[key];
-  }
-});
-
-module.exports = Octokit;
diff --git a/node_modules/@octokit/rest/lib/constructor.js b/node_modules/@octokit/rest/lib/constructor.js
deleted file mode 100644
index d83cf6b45..000000000
--- a/node_modules/@octokit/rest/lib/constructor.js
+++ /dev/null
@@ -1,29 +0,0 @@
-module.exports = Octokit;
-
-const { request } = require("@octokit/request");
-const Hook = require("before-after-hook");
-
-const parseClientOptions = require("./parse-client-options");
-
-function Octokit(plugins, options) {
-  options = options || {};
-  const hook = new Hook.Collection();
-  const log = Object.assign(
-    {
-      debug: () => {},
-      info: () => {},
-      warn: console.warn,
-      error: console.error
-    },
-    options && options.log
-  );
-  const api = {
-    hook,
-    log,
-    request: request.defaults(parseClientOptions(options, log, hook))
-  };
-
-  plugins.forEach(pluginFunction => pluginFunction(api, options));
-
-  return api;
-}
diff --git a/node_modules/@octokit/rest/lib/core.js b/node_modules/@octokit/rest/lib/core.js
deleted file mode 100644
index 4943ffad5..000000000
--- a/node_modules/@octokit/rest/lib/core.js
+++ /dev/null
@@ -1,3 +0,0 @@
-const factory = require("./factory");
-
-module.exports = factory();
diff --git a/node_modules/@octokit/rest/lib/factory.js b/node_modules/@octokit/rest/lib/factory.js
deleted file mode 100644
index 5dc206523..000000000
--- a/node_modules/@octokit/rest/lib/factory.js
+++ /dev/null
@@ -1,10 +0,0 @@
-module.exports = factory;
-
-const Octokit = require("./constructor");
-const registerPlugin = require("./register-plugin");
-
-function factory(plugins) {
-  const Api = Octokit.bind(null, plugins || []);
-  Api.plugin = registerPlugin.bind(null, plugins || []);
-  return Api;
-}
diff --git a/node_modules/@octokit/rest/lib/parse-client-options.js b/node_modules/@octokit/rest/lib/parse-client-options.js
deleted file mode 100644
index c7c097dd0..000000000
--- a/node_modules/@octokit/rest/lib/parse-client-options.js
+++ /dev/null
@@ -1,89 +0,0 @@
-module.exports = parseOptions;
-
-const { Deprecation } = require("deprecation");
-const { getUserAgent } = require("universal-user-agent");
-const once = require("once");
-
-const pkg = require("../package.json");
-
-const deprecateOptionsTimeout = once((log, deprecation) =>
-  log.warn(deprecation)
-);
-const deprecateOptionsAgent = once((log, deprecation) => log.warn(deprecation));
-const deprecateOptionsHeaders = once((log, deprecation) =>
-  log.warn(deprecation)
-);
-
-function parseOptions(options, log, hook) {
-  if (options.headers) {
-    options.headers = Object.keys(options.headers).reduce((newObj, key) => {
-      newObj[key.toLowerCase()] = options.headers[key];
-      return newObj;
-    }, {});
-  }
-
-  const clientDefaults = {
-    headers: options.headers || {},
-    request: options.request || {},
-    mediaType: {
-      previews: [],
-      format: ""
-    }
-  };
-
-  if (options.baseUrl) {
-    clientDefaults.baseUrl = options.baseUrl;
-  }
-
-  if (options.userAgent) {
-    clientDefaults.headers["user-agent"] = options.userAgent;
-  }
-
-  if (options.previews) {
-    clientDefaults.mediaType.previews = options.previews;
-  }
-
-  if (options.timeZone) {
-    clientDefaults.headers["time-zone"] = options.timeZone;
-  }
-
-  if (options.timeout) {
-    deprecateOptionsTimeout(
-      log,
-      new Deprecation(
-        "[@octokit/rest] new Octokit({timeout}) is deprecated. Use {request: {timeout}} instead. See https://github.com/octokit/request.js#request"
-      )
-    );
-    clientDefaults.request.timeout = options.timeout;
-  }
-
-  if (options.agent) {
-    deprecateOptionsAgent(
-      log,
-      new Deprecation(
-        "[@octokit/rest] new Octokit({agent}) is deprecated. Use {request: {agent}} instead. See https://github.com/octokit/request.js#request"
-      )
-    );
-    clientDefaults.request.agent = options.agent;
-  }
-
-  if (options.headers) {
-    deprecateOptionsHeaders(
-      log,
-      new Deprecation(
-        "[@octokit/rest] new Octokit({headers}) is deprecated. Use {userAgent, previews} instead. See https://github.com/octokit/request.js#request"
-      )
-    );
-  }
-
-  const userAgentOption = clientDefaults.headers["user-agent"];
-  const defaultUserAgent = `octokit.js/${pkg.version} ${getUserAgent()}`;
-
-  clientDefaults.headers["user-agent"] = [userAgentOption, defaultUserAgent]
-    .filter(Boolean)
-    .join(" ");
-
-  clientDefaults.request.hook = hook.bind(null, "request");
-
-  return clientDefaults;
-}
diff --git a/node_modules/@octokit/rest/lib/register-plugin.js b/node_modules/@octokit/rest/lib/register-plugin.js
deleted file mode 100644
index c1ae77540..000000000
--- a/node_modules/@octokit/rest/lib/register-plugin.js
+++ /dev/null
@@ -1,9 +0,0 @@
-module.exports = registerPlugin;
-
-const factory = require("./factory");
-
-function registerPlugin(plugins, pluginFunction) {
-  return factory(
-    plugins.includes(pluginFunction) ? plugins : plugins.concat(pluginFunction)
-  );
-}
diff --git a/node_modules/@octokit/rest/package.json b/node_modules/@octokit/rest/package.json
deleted file mode 100644
index 4f49c85a8..000000000
--- a/node_modules/@octokit/rest/package.json
+++ /dev/null
@@ -1,179 +0,0 @@
-{
-  "_args": [
-    [
-      "@octokit/rest@16.43.1",
-      "/home/runner/work/readable-readme/readable-readme"
-    ]
-  ],
-  "_from": "@octokit/rest@16.43.1",
-  "_id": "@octokit/rest@16.43.1",
-  "_inBundle": false,
-  "_integrity": "sha512-gfFKwRT/wFxq5qlNjnW2dh+qh74XgTQ2B179UX5K1HYCluioWj8Ndbgqw2PVqa1NnVJkGHp2ovMpVn/DImlmkw==",
-  "_location": "/@octokit/rest",
-  "_phantomChildren": {},
-  "_requested": {
-    "type": "version",
-    "registry": true,
-    "raw": "@octokit/rest@16.43.1",
-    "name": "@octokit/rest",
-    "escapedName": "@octokit%2frest",
-    "scope": "@octokit",
-    "rawSpec": "16.43.1",
-    "saveSpec": null,
-    "fetchSpec": "16.43.1"
-  },
-  "_requiredBy": [
-    "/@actions/github"
-  ],
-  "_resolved": "https://registry.npmjs.org/@octokit/rest/-/rest-16.43.1.tgz",
-  "_spec": "16.43.1",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
-  "author": {
-    "name": "Gregor Martynus",
-    "url": "https://github.com/gr2m"
-  },
-  "bugs": {
-    "url": "https://github.com/octokit/rest.js/issues"
-  },
-  "bundlesize": [
-    {
-      "path": "./dist/octokit-rest.min.js.gz",
-      "maxSize": "33 kB"
-    }
-  ],
-  "contributors": [
-    {
-      "name": "Mike de Boer",
-      "email": "info@mikedeboer.nl"
-    },
-    {
-      "name": "Fabian Jakobs",
-      "email": "fabian@c9.io"
-    },
-    {
-      "name": "Joe Gallo",
-      "email": "joe@brassafrax.com"
-    },
-    {
-      "name": "Gregor Martynus",
-      "url": "https://github.com/gr2m"
-    }
-  ],
-  "dependencies": {
-    "@octokit/auth-token": "^2.4.0",
-    "@octokit/plugin-paginate-rest": "^1.1.1",
-    "@octokit/plugin-request-log": "^1.0.0",
-    "@octokit/plugin-rest-endpoint-methods": "2.4.0",
-    "@octokit/request": "^5.2.0",
-    "@octokit/request-error": "^1.0.2",
-    "atob-lite": "^2.0.0",
-    "before-after-hook": "^2.0.0",
-    "btoa-lite": "^1.0.0",
-    "deprecation": "^2.0.0",
-    "lodash.get": "^4.4.2",
-    "lodash.set": "^4.3.2",
-    "lodash.uniq": "^4.5.0",
-    "octokit-pagination-methods": "^1.1.0",
-    "once": "^1.4.0",
-    "universal-user-agent": "^4.0.0"
-  },
-  "description": "GitHub REST API client for Node.js",
-  "devDependencies": {
-    "@gimenete/type-writer": "^0.1.3",
-    "@octokit/auth": "^1.1.1",
-    "@octokit/fixtures-server": "^5.0.6",
-    "@octokit/graphql": "^4.2.0",
-    "@types/node": "^13.1.0",
-    "bundlesize": "^0.18.0",
-    "chai": "^4.1.2",
-    "compression-webpack-plugin": "^3.1.0",
-    "cypress": "^3.0.0",
-    "glob": "^7.1.2",
-    "http-proxy-agent": "^4.0.0",
-    "lodash.camelcase": "^4.3.0",
-    "lodash.merge": "^4.6.1",
-    "lodash.upperfirst": "^4.3.1",
-    "lolex": "^5.1.2",
-    "mkdirp": "^1.0.0",
-    "mocha": "^7.0.1",
-    "mustache": "^4.0.0",
-    "nock": "^11.3.3",
-    "npm-run-all": "^4.1.2",
-    "nyc": "^15.0.0",
-    "prettier": "^1.14.2",
-    "proxy": "^1.0.0",
-    "semantic-release": "^17.0.0",
-    "sinon": "^8.0.0",
-    "sinon-chai": "^3.0.0",
-    "sort-keys": "^4.0.0",
-    "string-to-arraybuffer": "^1.0.0",
-    "string-to-jsdoc-comment": "^1.0.0",
-    "typescript": "^3.3.1",
-    "webpack": "^4.0.0",
-    "webpack-bundle-analyzer": "^3.0.0",
-    "webpack-cli": "^3.0.0"
-  },
-  "files": [
-    "index.js",
-    "index.d.ts",
-    "lib",
-    "plugins"
-  ],
-  "homepage": "https://github.com/octokit/rest.js#readme",
-  "keywords": [
-    "octokit",
-    "github",
-    "rest",
-    "api-client"
-  ],
-  "license": "MIT",
-  "name": "@octokit/rest",
-  "nyc": {
-    "ignore": [
-      "test"
-    ]
-  },
-  "publishConfig": {
-    "access": "public"
-  },
-  "release": {
-    "publish": [
-      "@semantic-release/npm",
-      {
-        "path": "@semantic-release/github",
-        "assets": [
-          "dist/*",
-          "!dist/*.map.gz"
-        ]
-      }
-    ]
-  },
-  "repository": {
-    "type": "git",
-    "url": "git+https://github.com/octokit/rest.js.git"
-  },
-  "scripts": {
-    "build": "npm-run-all build:*",
-    "build:browser": "npm-run-all build:browser:*",
-    "build:browser:development": "webpack --mode development --entry . --output-library=Octokit --output=./dist/octokit-rest.js --profile --json > dist/bundle-stats.json",
-    "build:browser:production": "webpack --mode production --entry . --plugin=compression-webpack-plugin --output-library=Octokit --output-path=./dist --output-filename=octokit-rest.min.js --devtool source-map",
-    "build:ts": "npm run -s update-endpoints:typescript",
-    "coverage": "nyc report --reporter=html && open coverage/index.html",
-    "generate-bundle-report": "webpack-bundle-analyzer dist/bundle-stats.json --mode=static --no-open --report dist/bundle-report.html",
-    "lint": "prettier --check '{lib,plugins,scripts,test}/**/*.{js,json,ts}' 'docs/*.{js,json}' 'docs/src/**/*' index.js README.md package.json",
-    "lint:fix": "prettier --write '{lib,plugins,scripts,test}/**/*.{js,json,ts}' 'docs/*.{js,json}' 'docs/src/**/*' index.js README.md package.json",
-    "postvalidate:ts": "tsc --noEmit --target es6 test/typescript-validate.ts",
-    "prebuild:browser": "mkdirp dist/",
-    "pretest": "npm run -s lint",
-    "prevalidate:ts": "npm run -s build:ts",
-    "start-fixtures-server": "octokit-fixtures-server",
-    "test": "nyc mocha test/mocha-node-setup.js \"test/*/**/*-test.js\"",
-    "test:browser": "cypress run --browser chrome",
-    "update-endpoints": "npm-run-all update-endpoints:*",
-    "update-endpoints:fetch-json": "node scripts/update-endpoints/fetch-json",
-    "update-endpoints:typescript": "node scripts/update-endpoints/typescript",
-    "validate:ts": "tsc --target es6 --noImplicitAny index.d.ts"
-  },
-  "types": "index.d.ts",
-  "version": "16.43.1"
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication-deprecated/authenticate.js b/node_modules/@octokit/rest/plugins/authentication-deprecated/authenticate.js
deleted file mode 100644
index 86ce9e951..000000000
--- a/node_modules/@octokit/rest/plugins/authentication-deprecated/authenticate.js
+++ /dev/null
@@ -1,52 +0,0 @@
-module.exports = authenticate;
-
-const { Deprecation } = require("deprecation");
-const once = require("once");
-
-const deprecateAuthenticate = once((log, deprecation) => log.warn(deprecation));
-
-function authenticate(state, options) {
-  deprecateAuthenticate(
-    state.octokit.log,
-    new Deprecation(
-      '[@octokit/rest] octokit.authenticate() is deprecated. Use "auth" constructor option instead.'
-    )
-  );
-
-  if (!options) {
-    state.auth = false;
-    return;
-  }
-
-  switch (options.type) {
-    case "basic":
-      if (!options.username || !options.password) {
-        throw new Error(
-          "Basic authentication requires both a username and password to be set"
-        );
-      }
-      break;
-
-    case "oauth":
-      if (!options.token && !(options.key && options.secret)) {
-        throw new Error(
-          "OAuth2 authentication requires a token or key & secret to be set"
-        );
-      }
-      break;
-
-    case "token":
-    case "app":
-      if (!options.token) {
-        throw new Error("Token authentication requires a token to be set");
-      }
-      break;
-
-    default:
-      throw new Error(
-        "Invalid authentication type, must be 'basic', 'oauth', 'token' or 'app'"
-      );
-  }
-
-  state.auth = options;
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication-deprecated/before-request.js b/node_modules/@octokit/rest/plugins/authentication-deprecated/before-request.js
deleted file mode 100644
index dbb83abd4..000000000
--- a/node_modules/@octokit/rest/plugins/authentication-deprecated/before-request.js
+++ /dev/null
@@ -1,43 +0,0 @@
-module.exports = authenticationBeforeRequest;
-
-const btoa = require("btoa-lite");
-const uniq = require("lodash.uniq");
-
-function authenticationBeforeRequest(state, options) {
-  if (!state.auth.type) {
-    return;
-  }
-
-  if (state.auth.type === "basic") {
-    const hash = btoa(`${state.auth.username}:${state.auth.password}`);
-    options.headers.authorization = `Basic ${hash}`;
-    return;
-  }
-
-  if (state.auth.type === "token") {
-    options.headers.authorization = `token ${state.auth.token}`;
-    return;
-  }
-
-  if (state.auth.type === "app") {
-    options.headers.authorization = `Bearer ${state.auth.token}`;
-    const acceptHeaders = options.headers.accept
-      .split(",")
-      .concat("application/vnd.github.machine-man-preview+json");
-    options.headers.accept = uniq(acceptHeaders)
-      .filter(Boolean)
-      .join(",");
-    return;
-  }
-
-  options.url += options.url.indexOf("?") === -1 ? "?" : "&";
-
-  if (state.auth.token) {
-    options.url += `access_token=${encodeURIComponent(state.auth.token)}`;
-    return;
-  }
-
-  const key = encodeURIComponent(state.auth.key);
-  const secret = encodeURIComponent(state.auth.secret);
-  options.url += `client_id=${key}&client_secret=${secret}`;
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication-deprecated/index.js b/node_modules/@octokit/rest/plugins/authentication-deprecated/index.js
deleted file mode 100644
index 7e0cc4f91..000000000
--- a/node_modules/@octokit/rest/plugins/authentication-deprecated/index.js
+++ /dev/null
@@ -1,31 +0,0 @@
-module.exports = authenticationPlugin;
-
-const { Deprecation } = require("deprecation");
-const once = require("once");
-
-const deprecateAuthenticate = once((log, deprecation) => log.warn(deprecation));
-
-const authenticate = require("./authenticate");
-const beforeRequest = require("./before-request");
-const requestError = require("./request-error");
-
-function authenticationPlugin(octokit, options) {
-  if (options.auth) {
-    octokit.authenticate = () => {
-      deprecateAuthenticate(
-        octokit.log,
-        new Deprecation(
-          '[@octokit/rest] octokit.authenticate() is deprecated and has no effect when "auth" option is set on Octokit constructor'
-        )
-      );
-    };
-    return;
-  }
-  const state = {
-    octokit,
-    auth: false
-  };
-  octokit.authenticate = authenticate.bind(null, state);
-  octokit.hook.before("request", beforeRequest.bind(null, state));
-  octokit.hook.error("request", requestError.bind(null, state));
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication-deprecated/request-error.js b/node_modules/@octokit/rest/plugins/authentication-deprecated/request-error.js
deleted file mode 100644
index d2e7baae0..000000000
--- a/node_modules/@octokit/rest/plugins/authentication-deprecated/request-error.js
+++ /dev/null
@@ -1,55 +0,0 @@
-module.exports = authenticationRequestError;
-
-const { RequestError } = require("@octokit/request-error");
-
-function authenticationRequestError(state, error, options) {
-  /* istanbul ignore next */
-  if (!error.headers) throw error;
-
-  const otpRequired = /required/.test(error.headers["x-github-otp"] || "");
-  // handle "2FA required" error only
-  if (error.status !== 401 || !otpRequired) {
-    throw error;
-  }
-
-  if (
-    error.status === 401 &&
-    otpRequired &&
-    error.request &&
-    error.request.headers["x-github-otp"]
-  ) {
-    throw new RequestError(
-      "Invalid one-time password for two-factor authentication",
-      401,
-      {
-        headers: error.headers,
-        request: options
-      }
-    );
-  }
-
-  if (typeof state.auth.on2fa !== "function") {
-    throw new RequestError(
-      "2FA required, but options.on2fa is not a function. See https://github.com/octokit/rest.js#authentication",
-      401,
-      {
-        headers: error.headers,
-        request: options
-      }
-    );
-  }
-
-  return Promise.resolve()
-    .then(() => {
-      return state.auth.on2fa();
-    })
-    .then(oneTimePassword => {
-      const newOptions = Object.assign(options, {
-        headers: Object.assign(
-          { "x-github-otp": oneTimePassword },
-          options.headers
-        )
-      });
-      return state.octokit.request(newOptions);
-    });
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication/before-request.js b/node_modules/@octokit/rest/plugins/authentication/before-request.js
deleted file mode 100644
index aae5daaa7..000000000
--- a/node_modules/@octokit/rest/plugins/authentication/before-request.js
+++ /dev/null
@@ -1,53 +0,0 @@
-module.exports = authenticationBeforeRequest;
-
-const btoa = require("btoa-lite");
-
-const withAuthorizationPrefix = require("./with-authorization-prefix");
-
-function authenticationBeforeRequest(state, options) {
-  if (typeof state.auth === "string") {
-    options.headers.authorization = withAuthorizationPrefix(state.auth);
-    return;
-  }
-
-  if (state.auth.username) {
-    const hash = btoa(`${state.auth.username}:${state.auth.password}`);
-    options.headers.authorization = `Basic ${hash}`;
-    if (state.otp) {
-      options.headers["x-github-otp"] = state.otp;
-    }
-    return;
-  }
-
-  if (state.auth.clientId) {
-    // There is a special case for OAuth applications, when `clientId` and `clientSecret` is passed as
-    // Basic Authorization instead of query parameters. The only routes where that applies share the same
-    // URL though: `/applications/:client_id/tokens/:access_token`.
-    //
-    //  1. [Check an authorization](https://developer.github.com/v3/oauth_authorizations/#check-an-authorization)
-    //  2. [Reset an authorization](https://developer.github.com/v3/oauth_authorizations/#reset-an-authorization)
-    //  3. [Revoke an authorization for an application](https://developer.github.com/v3/oauth_authorizations/#revoke-an-authorization-for-an-application)
-    //
-    // We identify by checking the URL. It must merge both "/applications/:client_id/tokens/:access_token"
-    // as well as "/applications/123/tokens/token456"
-    if (/\/applications\/:?[\w_]+\/tokens\/:?[\w_]+($|\?)/.test(options.url)) {
-      const hash = btoa(`${state.auth.clientId}:${state.auth.clientSecret}`);
-      options.headers.authorization = `Basic ${hash}`;
-      return;
-    }
-
-    options.url += options.url.indexOf("?") === -1 ? "?" : "&";
-    options.url += `client_id=${state.auth.clientId}&client_secret=${state.auth.clientSecret}`;
-    return;
-  }
-
-  return Promise.resolve()
-
-    .then(() => {
-      return state.auth();
-    })
-
-    .then(authorization => {
-      options.headers.authorization = withAuthorizationPrefix(authorization);
-    });
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication/index.js b/node_modules/@octokit/rest/plugins/authentication/index.js
deleted file mode 100644
index 6dcb85977..000000000
--- a/node_modules/@octokit/rest/plugins/authentication/index.js
+++ /dev/null
@@ -1,76 +0,0 @@
-module.exports = authenticationPlugin;
-
-const { createTokenAuth } = require("@octokit/auth-token");
-const { Deprecation } = require("deprecation");
-const once = require("once");
-
-const beforeRequest = require("./before-request");
-const requestError = require("./request-error");
-const validate = require("./validate");
-const withAuthorizationPrefix = require("./with-authorization-prefix");
-
-const deprecateAuthBasic = once((log, deprecation) => log.warn(deprecation));
-const deprecateAuthObject = once((log, deprecation) => log.warn(deprecation));
-
-function authenticationPlugin(octokit, options) {
-  // If `options.authStrategy` is set then use it and pass in `options.auth`
-  if (options.authStrategy) {
-    const auth = options.authStrategy(options.auth);
-    octokit.hook.wrap("request", auth.hook);
-    octokit.auth = auth;
-    return;
-  }
-
-  // If neither `options.authStrategy` nor `options.auth` are set, the `octokit` instance
-  // is unauthenticated. The `octokit.auth()` method is a no-op and no request hook is registred.
-  if (!options.auth) {
-    octokit.auth = () =>
-      Promise.resolve({
-        type: "unauthenticated"
-      });
-    return;
-  }
-
-  const isBasicAuthString =
-    typeof options.auth === "string" &&
-    /^basic/.test(withAuthorizationPrefix(options.auth));
-
-  // If only `options.auth` is set to a string, use the default token authentication strategy.
-  if (typeof options.auth === "string" && !isBasicAuthString) {
-    const auth = createTokenAuth(options.auth);
-    octokit.hook.wrap("request", auth.hook);
-    octokit.auth = auth;
-    return;
-  }
-
-  // Otherwise log a deprecation message
-  const [deprecationMethod, deprecationMessapge] = isBasicAuthString
-    ? [
-        deprecateAuthBasic,
-        'Setting the "new Octokit({ auth })" option to a Basic Auth string is deprecated. Use https://github.com/octokit/auth-basic.js instead. See (https://octokit.github.io/rest.js/#authentication)'
-      ]
-    : [
-        deprecateAuthObject,
-        'Setting the "new Octokit({ auth })" option to an object without also setting the "authStrategy" option is deprecated and will be removed in v17. See (https://octokit.github.io/rest.js/#authentication)'
-      ];
-  deprecationMethod(
-    octokit.log,
-    new Deprecation("[@octokit/rest] " + deprecationMessapge)
-  );
-
-  octokit.auth = () =>
-    Promise.resolve({
-      type: "deprecated",
-      message: deprecationMessapge
-    });
-
-  validate(options.auth);
-
-  const state = {
-    octokit,
-    auth: options.auth
-  };
-
-  octokit.hook.before("request", beforeRequest.bind(null, state));
-  octokit.hook.error("request", requestError.bind(null, state));
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication/request-error.js b/node_modules/@octokit/rest/plugins/authentication/request-error.js
deleted file mode 100644
index 9c67d5508..000000000
--- a/node_modules/@octokit/rest/plugins/authentication/request-error.js
+++ /dev/null
@@ -1,61 +0,0 @@
-module.exports = authenticationRequestError;
-
-const { RequestError } = require("@octokit/request-error");
-
-function authenticationRequestError(state, error, options) {
-  if (!error.headers) throw error;
-
-  const otpRequired = /required/.test(error.headers["x-github-otp"] || "");
-  // handle "2FA required" error only
-  if (error.status !== 401 || !otpRequired) {
-    throw error;
-  }
-
-  if (
-    error.status === 401 &&
-    otpRequired &&
-    error.request &&
-    error.request.headers["x-github-otp"]
-  ) {
-    if (state.otp) {
-      delete state.otp; // no longer valid, request again
-    } else {
-      throw new RequestError(
-        "Invalid one-time password for two-factor authentication",
-        401,
-        {
-          headers: error.headers,
-          request: options
-        }
-      );
-    }
-  }
-
-  if (typeof state.auth.on2fa !== "function") {
-    throw new RequestError(
-      "2FA required, but options.on2fa is not a function. See https://github.com/octokit/rest.js#authentication",
-      401,
-      {
-        headers: error.headers,
-        request: options
-      }
-    );
-  }
-
-  return Promise.resolve()
-    .then(() => {
-      return state.auth.on2fa();
-    })
-    .then(oneTimePassword => {
-      const newOptions = Object.assign(options, {
-        headers: Object.assign(options.headers, {
-          "x-github-otp": oneTimePassword
-        })
-      });
-      return state.octokit.request(newOptions).then(response => {
-        // If OTP still valid, then persist it for following requests
-        state.otp = oneTimePassword;
-        return response;
-      });
-    });
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication/validate.js b/node_modules/@octokit/rest/plugins/authentication/validate.js
deleted file mode 100644
index abf83779d..000000000
--- a/node_modules/@octokit/rest/plugins/authentication/validate.js
+++ /dev/null
@@ -1,21 +0,0 @@
-module.exports = validateAuth;
-
-function validateAuth(auth) {
-  if (typeof auth === "string") {
-    return;
-  }
-
-  if (typeof auth === "function") {
-    return;
-  }
-
-  if (auth.username && auth.password) {
-    return;
-  }
-
-  if (auth.clientId && auth.clientSecret) {
-    return;
-  }
-
-  throw new Error(`Invalid "auth" option: ${JSON.stringify(auth)}`);
-}
diff --git a/node_modules/@octokit/rest/plugins/authentication/with-authorization-prefix.js b/node_modules/@octokit/rest/plugins/authentication/with-authorization-prefix.js
deleted file mode 100644
index 122cab73a..000000000
--- a/node_modules/@octokit/rest/plugins/authentication/with-authorization-prefix.js
+++ /dev/null
@@ -1,23 +0,0 @@
-module.exports = withAuthorizationPrefix;
-
-const atob = require("atob-lite");
-
-const REGEX_IS_BASIC_AUTH = /^[\w-]+:/;
-
-function withAuthorizationPrefix(authorization) {
-  if (/^(basic|bearer|token) /i.test(authorization)) {
-    return authorization;
-  }
-
-  try {
-    if (REGEX_IS_BASIC_AUTH.test(atob(authorization))) {
-      return `basic ${authorization}`;
-    }
-  } catch (error) {}
-
-  if (authorization.split(/\./).length === 3) {
-    return `bearer ${authorization}`;
-  }
-
-  return `token ${authorization}`;
-}
diff --git a/node_modules/@octokit/rest/plugins/pagination/index.js b/node_modules/@octokit/rest/plugins/pagination/index.js
deleted file mode 100644
index f5a3f7bc1..000000000
--- a/node_modules/@octokit/rest/plugins/pagination/index.js
+++ /dev/null
@@ -1,7 +0,0 @@
-module.exports = paginatePlugin;
-
-const { paginateRest } = require("@octokit/plugin-paginate-rest");
-
-function paginatePlugin(octokit) {
-  Object.assign(octokit, paginateRest(octokit));
-}
diff --git a/node_modules/@octokit/rest/plugins/validate/index.js b/node_modules/@octokit/rest/plugins/validate/index.js
deleted file mode 100644
index 995475109..000000000
--- a/node_modules/@octokit/rest/plugins/validate/index.js
+++ /dev/null
@@ -1,7 +0,0 @@
-module.exports = octokitValidate;
-
-const validate = require("./validate");
-
-function octokitValidate(octokit) {
-  octokit.hook.before("request", validate.bind(null, octokit));
-}
diff --git a/node_modules/@octokit/rest/plugins/validate/validate.js b/node_modules/@octokit/rest/plugins/validate/validate.js
deleted file mode 100644
index 00b30082c..000000000
--- a/node_modules/@octokit/rest/plugins/validate/validate.js
+++ /dev/null
@@ -1,151 +0,0 @@
-"use strict";
-
-module.exports = validate;
-
-const { RequestError } = require("@octokit/request-error");
-const get = require("lodash.get");
-const set = require("lodash.set");
-
-function validate(octokit, options) {
-  if (!options.request.validate) {
-    return;
-  }
-  const { validate: params } = options.request;
-
-  Object.keys(params).forEach(parameterName => {
-    const parameter = get(params, parameterName);
-
-    const expectedType = parameter.type;
-    let parentParameterName;
-    let parentValue;
-    let parentParamIsPresent = true;
-    let parentParameterIsArray = false;
-
-    if (/\./.test(parameterName)) {
-      parentParameterName = parameterName.replace(/\.[^.]+$/, "");
-      parentParameterIsArray = parentParameterName.slice(-2) === "[]";
-      if (parentParameterIsArray) {
-        parentParameterName = parentParameterName.slice(0, -2);
-      }
-      parentValue = get(options, parentParameterName);
-      parentParamIsPresent =
-        parentParameterName === "headers" ||
-        (typeof parentValue === "object" && parentValue !== null);
-    }
-
-    const values = parentParameterIsArray
-      ? (get(options, parentParameterName) || []).map(
-          value => value[parameterName.split(/\./).pop()]
-        )
-      : [get(options, parameterName)];
-
-    values.forEach((value, i) => {
-      const valueIsPresent = typeof value !== "undefined";
-      const valueIsNull = value === null;
-      const currentParameterName = parentParameterIsArray
-        ? parameterName.replace(/\[\]/, `[${i}]`)
-        : parameterName;
-
-      if (!parameter.required && !valueIsPresent) {
-        return;
-      }
-
-      // if the parent parameter is of type object but allows null
-      // then the child parameters can be ignored
-      if (!parentParamIsPresent) {
-        return;
-      }
-
-      if (parameter.allowNull && valueIsNull) {
-        return;
-      }
-
-      if (!parameter.allowNull && valueIsNull) {
-        throw new RequestError(
-          `'${currentParameterName}' cannot be null`,
-          400,
-          {
-            request: options
-          }
-        );
-      }
-
-      if (parameter.required && !valueIsPresent) {
-        throw new RequestError(
-          `Empty value for parameter '${currentParameterName}': ${JSON.stringify(
-            value
-          )}`,
-          400,
-          {
-            request: options
-          }
-        );
-      }
-
-      // parse to integer before checking for enum
-      // so that string "1" will match enum with number 1
-      if (expectedType === "integer") {
-        const unparsedValue = value;
-        value = parseInt(value, 10);
-        if (isNaN(value)) {
-          throw new RequestError(
-            `Invalid value for parameter '${currentParameterName}': ${JSON.stringify(
-              unparsedValue
-            )} is NaN`,
-            400,
-            {
-              request: options
-            }
-          );
-        }
-      }
-
-      if (parameter.enum && parameter.enum.indexOf(String(value)) === -1) {
-        throw new RequestError(
-          `Invalid value for parameter '${currentParameterName}': ${JSON.stringify(
-            value
-          )}`,
-          400,
-          {
-            request: options
-          }
-        );
-      }
-
-      if (parameter.validation) {
-        const regex = new RegExp(parameter.validation);
-        if (!regex.test(value)) {
-          throw new RequestError(
-            `Invalid value for parameter '${currentParameterName}': ${JSON.stringify(
-              value
-            )}`,
-            400,
-            {
-              request: options
-            }
-          );
-        }
-      }
-
-      if (expectedType === "object" && typeof value === "string") {
-        try {
-          value = JSON.parse(value);
-        } catch (exception) {
-          throw new RequestError(
-            `JSON parse error of value for parameter '${currentParameterName}': ${JSON.stringify(
-              value
-            )}`,
-            400,
-            {
-              request: options
-            }
-          );
-        }
-      }
-
-      set(options, parameter.mapTo || currentParameterName, value);
-    });
-  });
-
-  return options;
-}
diff --git a/node_modules/@octokit/types/README.md b/node_modules/@octokit/types/README.md
index 482dae00f..707894566 100644
--- a/node_modules/@octokit/types/README.md
+++ b/node_modules/@octokit/types/README.md
@@ -4,11 +4,56 @@
 
 [![@latest](https://img.shields.io/npm/v/@octokit/types.svg)](https://www.npmjs.com/package/@octokit/types)
 [![Build Status](https://github.com/octokit/types.ts/workflows/Test/badge.svg)](https://github.com/octokit/types.ts/actions?workflow=Test)
-[![Greenkeeper](https://badges.greenkeeper.io/octokit/types.ts.svg)](https://greenkeeper.io/)
+
+<!-- toc -->
+
+- [Usage](#usage)
+- [Examples](#examples)
+  - [Get parameter and response data types for a REST API endpoint](#get-parameter-and-response-data-types-for-a-rest-api-endpoint)
+  - [Get response types from endpoint methods](#get-response-types-from-endpoint-methods)
+- [Contributing](#contributing)
+- [License](#license)
+
+<!-- tocstop -->
 
 ## Usage
 
-See https://octokit.github.io/types.ts for all exported types
+See all exported types at https://octokit.github.io/types.ts
+
+## Examples
+
+### Get parameter and response data types for a REST API endpoint
+
+```ts
+import { Endpoints } from "@octokit/types";
+
+type listUserReposParameters = Endpoints["GET /repos/:owner/:repo"]["parameters"];
+type listUserReposResponse = Endpoints["GET /repos/:owner/:repo"]["response"];
+
+async function listRepos(
+  options: listUserReposParameters
+): listUserReposResponse["data"] {
+  // ...
+}
+```
+
+### Get response types from endpoint methods
+
+```ts
+import {
+  GetResponseTypeFromEndpointMethod,
+  GetResponseDataTypeFromEndpointMethod,
+} from "@octokit/types";
+import { Octokit } from "@octokit/rest";
+
+const octokit = new Octokit();
+type CreateLabelResponseType = GetResponseTypeFromEndpointMethod<
+  typeof octokit.issues.createLabel
+>;
+type CreateLabelResponseDataType = GetResponseDataTypeFromEndpointMethod<
+  typeof octokit.issues.createLabel
+>;
+```
 
 ## Contributing
 
diff --git a/node_modules/@octokit/types/dist-node/index.js b/node_modules/@octokit/types/dist-node/index.js
new file mode 100644
index 000000000..7330ebbae
--- /dev/null
+++ b/node_modules/@octokit/types/dist-node/index.js
@@ -0,0 +1,8 @@
+'use strict';
+
+Object.defineProperty(exports, '__esModule', { value: true });
+
+const VERSION = "5.2.0";
+
+exports.VERSION = VERSION;
+//# sourceMappingURL=index.js.map
diff --git a/node_modules/@octokit/types/dist-node/index.js.map b/node_modules/@octokit/types/dist-node/index.js.map
new file mode 100644
index 000000000..2d148d3b9
--- /dev/null
+++ b/node_modules/@octokit/types/dist-node/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sources":["../dist-src/VERSION.js"],"sourcesContent":["export const VERSION = \"0.0.0-development\";\n"],"names":["VERSION"],"mappings":";;;;MAAaA,OAAO,GAAG;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/types/dist-src/AuthInterface.js b/node_modules/@octokit/types/dist-src/AuthInterface.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/EndpointDefaults.js b/node_modules/@octokit/types/dist-src/EndpointDefaults.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/EndpointInterface.js b/node_modules/@octokit/types/dist-src/EndpointInterface.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/EndpointOptions.js b/node_modules/@octokit/types/dist-src/EndpointOptions.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/Fetch.js b/node_modules/@octokit/types/dist-src/Fetch.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/GetResponseTypeFromEndpointMethod.js b/node_modules/@octokit/types/dist-src/GetResponseTypeFromEndpointMethod.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/OctokitResponse.js b/node_modules/@octokit/types/dist-src/OctokitResponse.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/RequestHeaders.js b/node_modules/@octokit/types/dist-src/RequestHeaders.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/RequestInterface.js b/node_modules/@octokit/types/dist-src/RequestInterface.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/RequestMethod.js b/node_modules/@octokit/types/dist-src/RequestMethod.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/RequestOptions.js b/node_modules/@octokit/types/dist-src/RequestOptions.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/RequestParameters.js b/node_modules/@octokit/types/dist-src/RequestParameters.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/RequestRequestOptions.js b/node_modules/@octokit/types/dist-src/RequestRequestOptions.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/ResponseHeaders.js b/node_modules/@octokit/types/dist-src/ResponseHeaders.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/Route.js b/node_modules/@octokit/types/dist-src/Route.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/Signal.js b/node_modules/@octokit/types/dist-src/Signal.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/StrategyInterface.js b/node_modules/@octokit/types/dist-src/StrategyInterface.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/Url.js b/node_modules/@octokit/types/dist-src/Url.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/VERSION.js b/node_modules/@octokit/types/dist-src/VERSION.js
new file mode 100644
index 000000000..8dfb0dad4
--- /dev/null
+++ b/node_modules/@octokit/types/dist-src/VERSION.js
@@ -0,0 +1 @@
+export const VERSION = "5.2.0";
diff --git a/node_modules/@octokit/types/dist-src/generated/Endpoints.js b/node_modules/@octokit/types/dist-src/generated/Endpoints.js
new file mode 100644
index 000000000..e69de29bb
diff --git a/node_modules/@octokit/types/dist-src/index.js b/node_modules/@octokit/types/dist-src/index.js
new file mode 100644
index 000000000..5d2d5ae09
--- /dev/null
+++ b/node_modules/@octokit/types/dist-src/index.js
@@ -0,0 +1,20 @@
+export * from "./AuthInterface";
+export * from "./EndpointDefaults";
+export * from "./EndpointInterface";
+export * from "./EndpointOptions";
+export * from "./Fetch";
+export * from "./OctokitResponse";
+export * from "./RequestHeaders";
+export * from "./RequestInterface";
+export * from "./RequestMethod";
+export * from "./RequestOptions";
+export * from "./RequestParameters";
+export * from "./RequestRequestOptions";
+export * from "./ResponseHeaders";
+export * from "./Route";
+export * from "./Signal";
+export * from "./StrategyInterface";
+export * from "./Url";
+export * from "./VERSION";
+export * from "./GetResponseTypeFromEndpointMethod";
+export * from "./generated/Endpoints";
diff --git a/node_modules/@octokit/types/dist-types/AuthInterface.d.ts b/node_modules/@octokit/types/dist-types/AuthInterface.d.ts
new file mode 100644
index 000000000..0c19b50d2
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/AuthInterface.d.ts
@@ -0,0 +1,31 @@
+import { EndpointOptions } from "./EndpointOptions";
+import { OctokitResponse } from "./OctokitResponse";
+import { RequestInterface } from "./RequestInterface";
+import { RequestParameters } from "./RequestParameters";
+import { Route } from "./Route";
+/**
+ * Interface to implement complex authentication strategies for Octokit.
+ * An object Implementing the AuthInterface can directly be passed as the
+ * `auth` option in the Octokit constructor.
+ *
+ * For the official implementations of the most common authentication
+ * strategies, see https://github.com/octokit/auth.js
+ */
+export interface AuthInterface<AuthOptions extends any[], Authentication extends any> {
+    (...args: AuthOptions): Promise<Authentication>;
+    hook: {
+        /**
+         * Sends a request using the passed `request` instance
+         *
+         * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+         */
+        <T = any>(request: RequestInterface, options: EndpointOptions): Promise<OctokitResponse<T>>;
+        /**
+         * Sends a request using the passed `request` instance
+         *
+         * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
+         * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+         */
+        <T = any>(request: RequestInterface, route: Route, parameters?: RequestParameters): Promise<OctokitResponse<T>>;
+    };
+}
diff --git a/node_modules/@octokit/types/dist-types/EndpointDefaults.d.ts b/node_modules/@octokit/types/dist-types/EndpointDefaults.d.ts
new file mode 100644
index 000000000..a2c230782
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/EndpointDefaults.d.ts
@@ -0,0 +1,21 @@
+import { RequestHeaders } from "./RequestHeaders";
+import { RequestMethod } from "./RequestMethod";
+import { RequestParameters } from "./RequestParameters";
+import { Url } from "./Url";
+/**
+ * The `.endpoint()` method is guaranteed to set all keys defined by RequestParameters
+ * as well as the method property.
+ */
+export declare type EndpointDefaults = RequestParameters & {
+    baseUrl: Url;
+    method: RequestMethod;
+    url?: Url;
+    headers: RequestHeaders & {
+        accept: string;
+        "user-agent": string;
+    };
+    mediaType: {
+        format: string;
+        previews: string[];
+    };
+};
diff --git a/node_modules/@octokit/types/dist-types/EndpointInterface.d.ts b/node_modules/@octokit/types/dist-types/EndpointInterface.d.ts
new file mode 100644
index 000000000..df585bef1
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/EndpointInterface.d.ts
@@ -0,0 +1,65 @@
+import { EndpointDefaults } from "./EndpointDefaults";
+import { RequestOptions } from "./RequestOptions";
+import { RequestParameters } from "./RequestParameters";
+import { Route } from "./Route";
+import { Endpoints } from "./generated/Endpoints";
+export interface EndpointInterface<D extends object = object> {
+    /**
+     * Transforms a GitHub REST API endpoint into generic request options
+     *
+     * @param {object} endpoint Must set `url` unless it's set defaults. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+     */
+    <O extends RequestParameters = RequestParameters>(options: O & {
+        method?: string;
+    } & ("url" extends keyof D ? {
+        url?: string;
+    } : {
+        url: string;
+    })): RequestOptions & Pick<D & O, keyof RequestOptions>;
+    /**
+     * Transforms a GitHub REST API endpoint into generic request options
+     *
+     * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
+     * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+     */
+    <R extends Route, P extends RequestParameters = R extends keyof Endpoints ? Endpoints[R]["parameters"] & RequestParameters : RequestParameters>(route: keyof Endpoints | R, parameters?: P): (R extends keyof Endpoints ? Endpoints[R]["request"] : RequestOptions) & Pick<P, keyof RequestOptions>;
+    /**
+     * Object with current default route and parameters
+     */
+    DEFAULTS: D & EndpointDefaults;
+    /**
+     * Returns a new `endpoint` interface with new defaults
+     */
+    defaults: <O extends RequestParameters = RequestParameters>(newDefaults: O) => EndpointInterface<D & O>;
+    merge: {
+        /**
+         * Merges current endpoint defaults with passed route and parameters,
+         * without transforming them into request options.
+         *
+         * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
+         * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+         *
+         */
+        <R extends Route, P extends RequestParameters = R extends keyof Endpoints ? Endpoints[R]["parameters"] & RequestParameters : RequestParameters>(route: keyof Endpoints | R, parameters?: P): D & (R extends keyof Endpoints ? Endpoints[R]["request"] & Endpoints[R]["parameters"] : EndpointDefaults) & P;
+        /**
+         * Merges current endpoint defaults with passed route and parameters,
+         * without transforming them into request options.
+         *
+         * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+         */
+        <P extends RequestParameters = RequestParameters>(options: P): EndpointDefaults & D & P;
+        /**
+         * Returns current default options.
+         *
+         * @deprecated use endpoint.DEFAULTS instead
+         */
+        (): D & EndpointDefaults;
+    };
+    /**
+     * Stateless method to turn endpoint options into request options.
+     * Calling `endpoint(options)` is the same as calling `endpoint.parse(endpoint.merge(options))`.
+     *
+     * @param {object} options `method`, `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+     */
+    parse: <O extends EndpointDefaults = EndpointDefaults>(options: O) => RequestOptions & Pick<O, keyof RequestOptions>;
+}
diff --git a/node_modules/@octokit/types/dist-types/EndpointOptions.d.ts b/node_modules/@octokit/types/dist-types/EndpointOptions.d.ts
new file mode 100644
index 000000000..b1b91f11f
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/EndpointOptions.d.ts
@@ -0,0 +1,7 @@
+import { RequestMethod } from "./RequestMethod";
+import { Url } from "./Url";
+import { RequestParameters } from "./RequestParameters";
+export declare type EndpointOptions = RequestParameters & {
+    method: RequestMethod;
+    url: Url;
+};
diff --git a/node_modules/@octokit/types/dist-types/Fetch.d.ts b/node_modules/@octokit/types/dist-types/Fetch.d.ts
new file mode 100644
index 000000000..cbbd5e8fa
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/Fetch.d.ts
@@ -0,0 +1,4 @@
+/**
+ * Browser's fetch method (or compatible such as fetch-mock)
+ */
+export declare type Fetch = any;
diff --git a/node_modules/@octokit/types/dist-types/GetResponseTypeFromEndpointMethod.d.ts b/node_modules/@octokit/types/dist-types/GetResponseTypeFromEndpointMethod.d.ts
new file mode 100644
index 000000000..70e1a8d46
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/GetResponseTypeFromEndpointMethod.d.ts
@@ -0,0 +1,5 @@
+declare type Unwrap<T> = T extends Promise<infer U> ? U : T;
+declare type AnyFunction = (...args: any[]) => any;
+export declare type GetResponseTypeFromEndpointMethod<T extends AnyFunction> = Unwrap<ReturnType<T>>;
+export declare type GetResponseDataTypeFromEndpointMethod<T extends AnyFunction> = Unwrap<ReturnType<T>>["data"];
+export {};
diff --git a/node_modules/@octokit/types/dist-types/OctokitResponse.d.ts b/node_modules/@octokit/types/dist-types/OctokitResponse.d.ts
new file mode 100644
index 000000000..9a2dd7f65
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/OctokitResponse.d.ts
@@ -0,0 +1,17 @@
+import { ResponseHeaders } from "./ResponseHeaders";
+import { Url } from "./Url";
+export declare type OctokitResponse<T> = {
+    headers: ResponseHeaders;
+    /**
+     * http response code
+     */
+    status: number;
+    /**
+     * URL of response after all redirects
+     */
+    url: Url;
+    /**
+     *  This is the data you would see in https://developer.Octokit.com/v3/
+     */
+    data: T;
+};
diff --git a/node_modules/@octokit/types/dist-types/RequestHeaders.d.ts b/node_modules/@octokit/types/dist-types/RequestHeaders.d.ts
new file mode 100644
index 000000000..ac5aae0a5
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/RequestHeaders.d.ts
@@ -0,0 +1,15 @@
+export declare type RequestHeaders = {
+    /**
+     * Avoid setting `headers.accept`, use `mediaType.{format|previews}` option instead.
+     */
+    accept?: string;
+    /**
+     * Use `authorization` to send authenticated request, remember `token ` / `bearer ` prefixes. Example: `token 1234567890abcdef1234567890abcdef12345678`
+     */
+    authorization?: string;
+    /**
+     * `user-agent` is set do a default and can be overwritten as needed.
+     */
+    "user-agent"?: string;
+    [header: string]: string | number | undefined;
+};
diff --git a/node_modules/@octokit/types/dist-types/RequestInterface.d.ts b/node_modules/@octokit/types/dist-types/RequestInterface.d.ts
new file mode 100644
index 000000000..ef4d8d3a8
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/RequestInterface.d.ts
@@ -0,0 +1,34 @@
+import { EndpointInterface } from "./EndpointInterface";
+import { OctokitResponse } from "./OctokitResponse";
+import { RequestParameters } from "./RequestParameters";
+import { Route } from "./Route";
+import { Endpoints } from "./generated/Endpoints";
+export interface RequestInterface<D extends object = object> {
+    /**
+     * Sends a request based on endpoint options
+     *
+     * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+     */
+    <T = any, O extends RequestParameters = RequestParameters>(options: O & {
+        method?: string;
+    } & ("url" extends keyof D ? {
+        url?: string;
+    } : {
+        url: string;
+    })): Promise<OctokitResponse<T>>;
+    /**
+     * Sends a request based on endpoint options
+     *
+     * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
+     * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
+     */
+    <R extends Route>(route: keyof Endpoints | R, options?: R extends keyof Endpoints ? Endpoints[R]["parameters"] & RequestParameters : RequestParameters): R extends keyof Endpoints ? Promise<Endpoints[R]["response"]> : Promise<OctokitResponse<any>>;
+    /**
+     * Returns a new `request` with updated route and parameters
+     */
+    defaults: <O extends RequestParameters = RequestParameters>(newDefaults: O) => RequestInterface<D & O>;
+    /**
+     * Octokit endpoint API, see {@link https://github.com/octokit/endpoint.js|@octokit/endpoint}
+     */
+    endpoint: EndpointInterface<D>;
+}
diff --git a/node_modules/@octokit/types/dist-types/RequestMethod.d.ts b/node_modules/@octokit/types/dist-types/RequestMethod.d.ts
new file mode 100644
index 000000000..e999c8d96
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/RequestMethod.d.ts
@@ -0,0 +1,4 @@
+/**
+ * HTTP Verb supported by GitHub's REST API
+ */
+export declare type RequestMethod = "DELETE" | "GET" | "HEAD" | "PATCH" | "POST" | "PUT";
diff --git a/node_modules/@octokit/types/dist-types/RequestOptions.d.ts b/node_modules/@octokit/types/dist-types/RequestOptions.d.ts
new file mode 100644
index 000000000..97e2181ca
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/RequestOptions.d.ts
@@ -0,0 +1,14 @@
+import { RequestHeaders } from "./RequestHeaders";
+import { RequestMethod } from "./RequestMethod";
+import { RequestRequestOptions } from "./RequestRequestOptions";
+import { Url } from "./Url";
+/**
+ * Generic request options as they are returned by the `endpoint()` method
+ */
+export declare type RequestOptions = {
+    method: RequestMethod;
+    url: Url;
+    headers: RequestHeaders;
+    body?: any;
+    request?: RequestRequestOptions;
+};
diff --git a/node_modules/@octokit/types/dist-types/RequestParameters.d.ts b/node_modules/@octokit/types/dist-types/RequestParameters.d.ts
new file mode 100644
index 000000000..692d193b4
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/RequestParameters.d.ts
@@ -0,0 +1,45 @@
+import { RequestRequestOptions } from "./RequestRequestOptions";
+import { RequestHeaders } from "./RequestHeaders";
+import { Url } from "./Url";
+/**
+ * Parameters that can be passed into `request(route, parameters)` or `endpoint(route, parameters)` methods
+ */
+export declare type RequestParameters = {
+    /**
+     * Base URL to be used when a relative URL is passed, such as `/orgs/:org`.
+     * If `baseUrl` is `https://enterprise.acme-inc.com/api/v3`, then the request
+     * will be sent to `https://enterprise.acme-inc.com/api/v3/orgs/:org`.
+     */
+    baseUrl?: Url;
+    /**
+     * HTTP headers. Use lowercase keys.
+     */
+    headers?: RequestHeaders;
+    /**
+     * Media type options, see {@link https://developer.github.com/v3/media/|GitHub Developer Guide}
+     */
+    mediaType?: {
+        /**
+         * `json` by default. Can be `raw`, `text`, `html`, `full`, `diff`, `patch`, `sha`, `base64`. Depending on endpoint
+         */
+        format?: string;
+        /**
+         * Custom media type names of {@link https://developer.github.com/v3/media/|API Previews} without the `-preview` suffix.
+         * Example for single preview: `['squirrel-girl']`.
+         * Example for multiple previews: `['squirrel-girl', 'mister-fantastic']`.
+         */
+        previews?: string[];
+    };
+    /**
+     * Pass custom meta information for the request. The `request` object will be returned as is.
+     */
+    request?: RequestRequestOptions;
+    /**
+     * Any additional parameter will be passed as follows
+     * 1. URL parameter if `':parameter'` or `{parameter}` is part of `url`
+     * 2. Query parameter if `method` is `'GET'` or `'HEAD'`
+     * 3. Request body if `parameter` is `'data'`
+     * 4. JSON in the request body in the form of `body[parameter]` unless `parameter` key is `'data'`
+     */
+    [parameter: string]: unknown;
+};
diff --git a/node_modules/@octokit/types/dist-types/RequestRequestOptions.d.ts b/node_modules/@octokit/types/dist-types/RequestRequestOptions.d.ts
new file mode 100644
index 000000000..4482a8a45
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/RequestRequestOptions.d.ts
@@ -0,0 +1,26 @@
+/// <reference types="node" />
+import { Agent } from "http";
+import { Fetch } from "./Fetch";
+import { Signal } from "./Signal";
+/**
+ * Octokit-specific request options which are ignored for the actual request, but can be used by Octokit or plugins to manipulate how the request is sent or how a response is handled
+ */
+export declare type RequestRequestOptions = {
+    /**
+     * Node only. Useful for custom proxy, certificate, or dns lookup.
+     */
+    agent?: Agent;
+    /**
+     * Custom replacement for built-in fetch method. Useful for testing or request hooks.
+     */
+    fetch?: Fetch;
+    /**
+     * Use an `AbortController` instance to cancel a request. In node you can only cancel streamed requests.
+     */
+    signal?: Signal;
+    /**
+     * Node only. Request/response timeout in ms, it resets on redirect. 0 to disable (OS limit applies). `options.request.signal` is recommended instead.
+     */
+    timeout?: number;
+    [option: string]: any;
+};
diff --git a/node_modules/@octokit/types/dist-types/ResponseHeaders.d.ts b/node_modules/@octokit/types/dist-types/ResponseHeaders.d.ts
new file mode 100644
index 000000000..c8fbe43f3
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/ResponseHeaders.d.ts
@@ -0,0 +1,20 @@
+export declare type ResponseHeaders = {
+    "cache-control"?: string;
+    "content-length"?: number;
+    "content-type"?: string;
+    date?: string;
+    etag?: string;
+    "last-modified"?: string;
+    link?: string;
+    location?: string;
+    server?: string;
+    status?: string;
+    vary?: string;
+    "x-github-mediatype"?: string;
+    "x-github-request-id"?: string;
+    "x-oauth-scopes"?: string;
+    "x-ratelimit-limit"?: string;
+    "x-ratelimit-remaining"?: string;
+    "x-ratelimit-reset"?: string;
+    [header: string]: string | number | undefined;
+};
diff --git a/node_modules/@octokit/types/dist-types/Route.d.ts b/node_modules/@octokit/types/dist-types/Route.d.ts
new file mode 100644
index 000000000..807904440
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/Route.d.ts
@@ -0,0 +1,4 @@
+/**
+ * String consisting of an optional HTTP method and relative path or absolute URL. Examples: `'/orgs/:org'`, `'PUT /orgs/:org'`, `GET https://example.com/foo/bar`
+ */
+export declare type Route = string;
diff --git a/node_modules/@octokit/types/dist-types/Signal.d.ts b/node_modules/@octokit/types/dist-types/Signal.d.ts
new file mode 100644
index 000000000..4ebcf24e6
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/Signal.d.ts
@@ -0,0 +1,6 @@
+/**
+ * Abort signal
+ *
+ * @see https://developer.mozilla.org/en-US/docs/Web/API/AbortSignal
+ */
+export declare type Signal = any;
diff --git a/node_modules/@octokit/types/dist-types/StrategyInterface.d.ts b/node_modules/@octokit/types/dist-types/StrategyInterface.d.ts
new file mode 100644
index 000000000..405cbd235
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/StrategyInterface.d.ts
@@ -0,0 +1,4 @@
+import { AuthInterface } from "./AuthInterface";
+export interface StrategyInterface<StrategyOptions extends any[], AuthOptions extends any[], Authentication extends object> {
+    (...args: StrategyOptions): AuthInterface<AuthOptions, Authentication>;
+}
diff --git a/node_modules/@octokit/types/dist-types/Url.d.ts b/node_modules/@octokit/types/dist-types/Url.d.ts
new file mode 100644
index 000000000..acaad6336
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/Url.d.ts
@@ -0,0 +1,4 @@
+/**
+ * Relative or absolute URL. Examples: `'/orgs/:org'`, `https://example.com/foo/bar`
+ */
+export declare type Url = string;
diff --git a/node_modules/@octokit/types/dist-types/VERSION.d.ts b/node_modules/@octokit/types/dist-types/VERSION.d.ts
new file mode 100644
index 000000000..385f478d5
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/VERSION.d.ts
@@ -0,0 +1 @@
+export declare const VERSION = "5.2.0";
diff --git a/node_modules/@octokit/types/dist-types/generated/Endpoints.d.ts b/node_modules/@octokit/types/dist-types/generated/Endpoints.d.ts
new file mode 100644
index 000000000..1e8d1214b
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/generated/Endpoints.d.ts
@@ -0,0 +1,38181 @@
+import { OctokitResponse } from "../OctokitResponse";
+import { RequestHeaders } from "../RequestHeaders";
+import { RequestRequestOptions } from "../RequestRequestOptions";
+declare type RequiredPreview<T> = {
+    mediaType: {
+        previews: [T, ...string[]];
+    };
+};
+export interface Endpoints {
+    /**
+     * @see https://developer.github.com/v3/apps/#delete-an-installation-for-the-authenticated-app
+     */
+    "DELETE /app/installations/:installation_id": {
+        parameters: AppsDeleteInstallationEndpoint;
+        request: AppsDeleteInstallationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#unsuspend-an-app-installation
+     */
+    "DELETE /app/installations/:installation_id/suspended": {
+        parameters: AppsUnsuspendInstallationEndpoint;
+        request: AppsUnsuspendInstallationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/oauth_applications/#delete-an-app-authorization
+     */
+    "DELETE /applications/:client_id/grant": {
+        parameters: AppsDeleteAuthorizationEndpoint;
+        request: AppsDeleteAuthorizationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/oauth_applications/#revoke-a-grant-for-an-application
+     */
+    "DELETE /applications/:client_id/grants/:access_token": {
+        parameters: AppsRevokeGrantForApplicationEndpoint;
+        request: AppsRevokeGrantForApplicationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/oauth_applications/#delete-an-app-token
+     */
+    "DELETE /applications/:client_id/token": {
+        parameters: AppsDeleteTokenEndpoint;
+        request: AppsDeleteTokenRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/oauth_applications/#revoke-an-authorization-for-an-application
+     */
+    "DELETE /applications/:client_id/tokens/:access_token": {
+        parameters: AppsRevokeAuthorizationForApplicationEndpoint;
+        request: AppsRevokeAuthorizationForApplicationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#delete-a-grant
+     */
+    "DELETE /applications/grants/:grant_id": {
+        parameters: OauthAuthorizationsDeleteGrantEndpoint;
+        request: OauthAuthorizationsDeleteGrantRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#delete-an-authorization
+     */
+    "DELETE /authorizations/:authorization_id": {
+        parameters: OauthAuthorizationsDeleteAuthorizationEndpoint;
+        request: OauthAuthorizationsDeleteAuthorizationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#delete-a-gist
+     */
+    "DELETE /gists/:gist_id": {
+        parameters: GistsDeleteEndpoint;
+        request: GistsDeleteRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/comments/#delete-a-gist-comment
+     */
+    "DELETE /gists/:gist_id/comments/:comment_id": {
+        parameters: GistsDeleteCommentEndpoint;
+        request: GistsDeleteCommentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#unstar-a-gist
+     */
+    "DELETE /gists/:gist_id/star": {
+        parameters: GistsUnstarEndpoint;
+        request: GistsUnstarRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#revoke-an-installation-access-token
+     */
+    "DELETE /installation/token": {
+        parameters: AppsRevokeInstallationAccessTokenEndpoint;
+        request: AppsRevokeInstallationAccessTokenRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#delete-a-thread-subscription
+     */
+    "DELETE /notifications/threads/:thread_id/subscription": {
+        parameters: ActivityDeleteThreadSubscriptionEndpoint;
+        request: ActivityDeleteThreadSubscriptionRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#delete-a-self-hosted-runner-from-an-organization
+     */
+    "DELETE /orgs/:org/actions/runners/:runner_id": {
+        parameters: ActionsDeleteSelfHostedRunnerFromOrgEndpoint;
+        request: ActionsDeleteSelfHostedRunnerFromOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#delete-an-organization-secret
+     */
+    "DELETE /orgs/:org/actions/secrets/:secret_name": {
+        parameters: ActionsDeleteOrgSecretEndpoint;
+        request: ActionsDeleteOrgSecretRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#remove-selected-repository-from-an-organization-secret
+     */
+    "DELETE /orgs/:org/actions/secrets/:secret_name/repositories/:repository_id": {
+        parameters: ActionsRemoveSelectedRepoFromOrgSecretEndpoint;
+        request: ActionsRemoveSelectedRepoFromOrgSecretRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/blocking/#unblock-a-user-from-an-organization
+     */
+    "DELETE /orgs/:org/blocks/:username": {
+        parameters: OrgsUnblockUserEndpoint;
+        request: OrgsUnblockUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#remove-a-saml-sso-authorization-for-an-organization
+     */
+    "DELETE /orgs/:org/credential-authorizations/:credential_id": {
+        parameters: OrgsRemoveSamlSsoAuthorizationEndpoint;
+        request: OrgsRemoveSamlSsoAuthorizationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/hooks/#delete-an-organization-webhook
+     */
+    "DELETE /orgs/:org/hooks/:hook_id": {
+        parameters: OrgsDeleteWebhookEndpoint;
+        request: OrgsDeleteWebhookRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/interactions/orgs/#remove-interaction-restrictions-for-an-organization
+     */
+    "DELETE /orgs/:org/interaction-limits": {
+        parameters: InteractionsRemoveRestrictionsForOrgEndpoint;
+        request: InteractionsRemoveRestrictionsForOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#remove-an-organization-member
+     */
+    "DELETE /orgs/:org/members/:username": {
+        parameters: OrgsRemoveMemberEndpoint;
+        request: OrgsRemoveMemberRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#remove-organization-membership-for-a-user
+     */
+    "DELETE /orgs/:org/memberships/:username": {
+        parameters: OrgsRemoveMembershipForUserEndpoint;
+        request: OrgsRemoveMembershipForUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#delete-an-organization-migration-archive
+     */
+    "DELETE /orgs/:org/migrations/:migration_id/archive": {
+        parameters: MigrationsDeleteArchiveForOrgEndpoint;
+        request: MigrationsDeleteArchiveForOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#unlock-an-organization-repository
+     */
+    "DELETE /orgs/:org/migrations/:migration_id/repos/:repo_name/lock": {
+        parameters: MigrationsUnlockRepoForOrgEndpoint;
+        request: MigrationsUnlockRepoForOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/outside_collaborators/#remove-outside-collaborator-from-an-organization
+     */
+    "DELETE /orgs/:org/outside_collaborators/:username": {
+        parameters: OrgsRemoveOutsideCollaboratorEndpoint;
+        request: OrgsRemoveOutsideCollaboratorRequestOptions;
+        response: OctokitResponse<OrgsRemoveOutsideCollaboratorResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#remove-public-organization-membership-for-the-authenticated-user
+     */
+    "DELETE /orgs/:org/public_members/:username": {
+        parameters: OrgsRemovePublicMembershipForAuthenticatedUserEndpoint;
+        request: OrgsRemovePublicMembershipForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#delete-a-team
+     */
+    "DELETE /orgs/:org/teams/:team_slug": {
+        parameters: TeamsDeleteInOrgEndpoint;
+        request: TeamsDeleteInOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#delete-a-discussion
+     */
+    "DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number": {
+        parameters: TeamsDeleteDiscussionInOrgEndpoint;
+        request: TeamsDeleteDiscussionInOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#delete-a-discussion-comment
+     */
+    "DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number": {
+        parameters: TeamsDeleteDiscussionCommentInOrgEndpoint;
+        request: TeamsDeleteDiscussionCommentInOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#delete-team-discussion-comment-reaction
+     */
+    "DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions/:reaction_id": {
+        parameters: ReactionsDeleteForTeamDiscussionCommentEndpoint;
+        request: ReactionsDeleteForTeamDiscussionCommentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#delete-team-discussion-reaction
+     */
+    "DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions/:reaction_id": {
+        parameters: ReactionsDeleteForTeamDiscussionEndpoint;
+        request: ReactionsDeleteForTeamDiscussionRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#remove-team-membership-for-a-user
+     */
+    "DELETE /orgs/:org/teams/:team_slug/memberships/:username": {
+        parameters: TeamsRemoveMembershipForUserInOrgEndpoint;
+        request: TeamsRemoveMembershipForUserInOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#remove-a-project-from-a-team
+     */
+    "DELETE /orgs/:org/teams/:team_slug/projects/:project_id": {
+        parameters: TeamsRemoveProjectInOrgEndpoint;
+        request: TeamsRemoveProjectInOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#remove-a-repository-from-a-team
+     */
+    "DELETE /orgs/:org/teams/:team_slug/repos/:owner/:repo": {
+        parameters: TeamsRemoveRepoInOrgEndpoint;
+        request: TeamsRemoveRepoInOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#delete-a-project
+     */
+    "DELETE /projects/:project_id": {
+        parameters: ProjectsDeleteEndpoint;
+        request: ProjectsDeleteRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/collaborators/#remove-project-collaborator
+     */
+    "DELETE /projects/:project_id/collaborators/:username": {
+        parameters: ProjectsRemoveCollaboratorEndpoint;
+        request: ProjectsRemoveCollaboratorRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/columns/#delete-a-project-column
+     */
+    "DELETE /projects/columns/:column_id": {
+        parameters: ProjectsDeleteColumnEndpoint;
+        request: ProjectsDeleteColumnRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/cards/#delete-a-project-card
+     */
+    "DELETE /projects/columns/cards/:card_id": {
+        parameters: ProjectsDeleteCardEndpoint;
+        request: ProjectsDeleteCardRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#delete-a-reaction-legacy
+     */
+    "DELETE /reactions/:reaction_id": {
+        parameters: ReactionsDeleteLegacyEndpoint;
+        request: ReactionsDeleteLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#delete-a-repository
+     */
+    "DELETE /repos/:owner/:repo": {
+        parameters: ReposDeleteEndpoint;
+        request: ReposDeleteRequestOptions;
+        response: OctokitResponse<ReposDeleteResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/artifacts/#delete-an-artifact
+     */
+    "DELETE /repos/:owner/:repo/actions/artifacts/:artifact_id": {
+        parameters: ActionsDeleteArtifactEndpoint;
+        request: ActionsDeleteArtifactRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#delete-a-self-hosted-runner-from-a-repository
+     */
+    "DELETE /repos/:owner/:repo/actions/runners/:runner_id": {
+        parameters: ActionsDeleteSelfHostedRunnerFromRepoEndpoint;
+        request: ActionsDeleteSelfHostedRunnerFromRepoRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#delete-a-workflow-run
+     */
+    "DELETE /repos/:owner/:repo/actions/runs/:run_id": {
+        parameters: ActionsDeleteWorkflowRunEndpoint;
+        request: ActionsDeleteWorkflowRunRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#delete-workflow-run-logs
+     */
+    "DELETE /repos/:owner/:repo/actions/runs/:run_id/logs": {
+        parameters: ActionsDeleteWorkflowRunLogsEndpoint;
+        request: ActionsDeleteWorkflowRunLogsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#delete-a-repository-secret
+     */
+    "DELETE /repos/:owner/:repo/actions/secrets/:secret_name": {
+        parameters: ActionsDeleteRepoSecretEndpoint;
+        request: ActionsDeleteRepoSecretRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#disable-automated-security-fixes
+     */
+    "DELETE /repos/:owner/:repo/automated-security-fixes": {
+        parameters: ReposDisableAutomatedSecurityFixesEndpoint;
+        request: ReposDisableAutomatedSecurityFixesRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#delete-branch-protection
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection": {
+        parameters: ReposDeleteBranchProtectionEndpoint;
+        request: ReposDeleteBranchProtectionRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#delete-admin-branch-protection
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/enforce_admins": {
+        parameters: ReposDeleteAdminBranchProtectionEndpoint;
+        request: ReposDeleteAdminBranchProtectionRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#delete-pull-request-review-protection
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews": {
+        parameters: ReposDeletePullRequestReviewProtectionEndpoint;
+        request: ReposDeletePullRequestReviewProtectionRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#delete-commit-signature-protection
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/required_signatures": {
+        parameters: ReposDeleteCommitSignatureProtectionEndpoint;
+        request: ReposDeleteCommitSignatureProtectionRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#remove-status-check-protection
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/required_status_checks": {
+        parameters: ReposRemoveStatusCheckProtectionEndpoint;
+        request: ReposRemoveStatusCheckProtectionRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#remove-status-check-contexts
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts": {
+        parameters: ReposRemoveStatusCheckContextsEndpoint;
+        request: ReposRemoveStatusCheckContextsRequestOptions;
+        response: OctokitResponse<ReposRemoveStatusCheckContextsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#delete-access-restrictions
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions": {
+        parameters: ReposDeleteAccessRestrictionsEndpoint;
+        request: ReposDeleteAccessRestrictionsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#remove-app-access-restrictions
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/apps": {
+        parameters: ReposRemoveAppAccessRestrictionsEndpoint;
+        request: ReposRemoveAppAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposRemoveAppAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#remove-team-access-restrictions
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/teams": {
+        parameters: ReposRemoveTeamAccessRestrictionsEndpoint;
+        request: ReposRemoveTeamAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposRemoveTeamAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#remove-user-access-restrictions
+     */
+    "DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/users": {
+        parameters: ReposRemoveUserAccessRestrictionsEndpoint;
+        request: ReposRemoveUserAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposRemoveUserAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/collaborators/#remove-a-repository-collaborator
+     */
+    "DELETE /repos/:owner/:repo/collaborators/:username": {
+        parameters: ReposRemoveCollaboratorEndpoint;
+        request: ReposRemoveCollaboratorRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/comments/#delete-a-commit-comment
+     */
+    "DELETE /repos/:owner/:repo/comments/:comment_id": {
+        parameters: ReposDeleteCommitCommentEndpoint;
+        request: ReposDeleteCommitCommentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#delete-a-commit-comment-reaction
+     */
+    "DELETE /repos/:owner/:repo/comments/:comment_id/reactions/:reaction_id": {
+        parameters: ReactionsDeleteForCommitCommentEndpoint;
+        request: ReactionsDeleteForCommitCommentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/contents/#delete-a-file
+     */
+    "DELETE /repos/:owner/:repo/contents/:path": {
+        parameters: ReposDeleteFileEndpoint;
+        request: ReposDeleteFileRequestOptions;
+        response: OctokitResponse<ReposDeleteFileResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#delete-a-deployment
+     */
+    "DELETE /repos/:owner/:repo/deployments/:deployment_id": {
+        parameters: ReposDeleteDeploymentEndpoint;
+        request: ReposDeleteDeploymentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/refs/#delete-a-reference
+     */
+    "DELETE /repos/:owner/:repo/git/refs/:ref": {
+        parameters: GitDeleteRefEndpoint;
+        request: GitDeleteRefRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/hooks/#delete-a-repository-webhook
+     */
+    "DELETE /repos/:owner/:repo/hooks/:hook_id": {
+        parameters: ReposDeleteWebhookEndpoint;
+        request: ReposDeleteWebhookRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/source_imports/#cancel-an-import
+     */
+    "DELETE /repos/:owner/:repo/import": {
+        parameters: MigrationsCancelImportEndpoint;
+        request: MigrationsCancelImportRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/interactions/repos/#remove-interaction-restrictions-for-a-repository
+     */
+    "DELETE /repos/:owner/:repo/interaction-limits": {
+        parameters: InteractionsRemoveRestrictionsForRepoEndpoint;
+        request: InteractionsRemoveRestrictionsForRepoRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/invitations/#delete-a-repository-invitation
+     */
+    "DELETE /repos/:owner/:repo/invitations/:invitation_id": {
+        parameters: ReposDeleteInvitationEndpoint;
+        request: ReposDeleteInvitationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/assignees/#remove-assignees-from-an-issue
+     */
+    "DELETE /repos/:owner/:repo/issues/:issue_number/assignees": {
+        parameters: IssuesRemoveAssigneesEndpoint;
+        request: IssuesRemoveAssigneesRequestOptions;
+        response: OctokitResponse<IssuesRemoveAssigneesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#remove-all-labels-from-an-issue
+     */
+    "DELETE /repos/:owner/:repo/issues/:issue_number/labels": {
+        parameters: IssuesRemoveAllLabelsEndpoint;
+        request: IssuesRemoveAllLabelsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#remove-a-label-from-an-issue
+     */
+    "DELETE /repos/:owner/:repo/issues/:issue_number/labels/:name": {
+        parameters: IssuesRemoveLabelEndpoint;
+        request: IssuesRemoveLabelRequestOptions;
+        response: OctokitResponse<IssuesRemoveLabelResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#unlock-an-issue
+     */
+    "DELETE /repos/:owner/:repo/issues/:issue_number/lock": {
+        parameters: IssuesUnlockEndpoint;
+        request: IssuesUnlockRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#delete-an-issue-reaction
+     */
+    "DELETE /repos/:owner/:repo/issues/:issue_number/reactions/:reaction_id": {
+        parameters: ReactionsDeleteForIssueEndpoint;
+        request: ReactionsDeleteForIssueRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/comments/#delete-an-issue-comment
+     */
+    "DELETE /repos/:owner/:repo/issues/comments/:comment_id": {
+        parameters: IssuesDeleteCommentEndpoint;
+        request: IssuesDeleteCommentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#delete-an-issue-comment-reaction
+     */
+    "DELETE /repos/:owner/:repo/issues/comments/:comment_id/reactions/:reaction_id": {
+        parameters: ReactionsDeleteForIssueCommentEndpoint;
+        request: ReactionsDeleteForIssueCommentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/keys/#delete-a-deploy-key
+     */
+    "DELETE /repos/:owner/:repo/keys/:key_id": {
+        parameters: ReposDeleteDeployKeyEndpoint;
+        request: ReposDeleteDeployKeyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#delete-a-label
+     */
+    "DELETE /repos/:owner/:repo/labels/:name": {
+        parameters: IssuesDeleteLabelEndpoint;
+        request: IssuesDeleteLabelRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/milestones/#delete-a-milestone
+     */
+    "DELETE /repos/:owner/:repo/milestones/:milestone_number": {
+        parameters: IssuesDeleteMilestoneEndpoint;
+        request: IssuesDeleteMilestoneRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#delete-a-github-pages-site
+     */
+    "DELETE /repos/:owner/:repo/pages": {
+        parameters: ReposDeletePagesSiteEndpoint;
+        request: ReposDeletePagesSiteRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/review_requests/#remove-requested-reviewers-from-a-pull-request
+     */
+    "DELETE /repos/:owner/:repo/pulls/:pull_number/requested_reviewers": {
+        parameters: PullsRemoveRequestedReviewersEndpoint;
+        request: PullsRemoveRequestedReviewersRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#delete-a-pending-review-for-a-pull-request
+     */
+    "DELETE /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id": {
+        parameters: PullsDeletePendingReviewEndpoint;
+        request: PullsDeletePendingReviewRequestOptions;
+        response: OctokitResponse<PullsDeletePendingReviewResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#delete-a-review-comment-for-a-pull-request
+     */
+    "DELETE /repos/:owner/:repo/pulls/comments/:comment_id": {
+        parameters: PullsDeleteReviewCommentEndpoint;
+        request: PullsDeleteReviewCommentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#delete-a-pull-request-comment-reaction
+     */
+    "DELETE /repos/:owner/:repo/pulls/comments/:comment_id/reactions/:reaction_id": {
+        parameters: ReactionsDeleteForPullRequestCommentEndpoint;
+        request: ReactionsDeleteForPullRequestCommentRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#delete-a-release
+     */
+    "DELETE /repos/:owner/:repo/releases/:release_id": {
+        parameters: ReposDeleteReleaseEndpoint;
+        request: ReposDeleteReleaseRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#delete-a-release-asset
+     */
+    "DELETE /repos/:owner/:repo/releases/assets/:asset_id": {
+        parameters: ReposDeleteReleaseAssetEndpoint;
+        request: ReposDeleteReleaseAssetRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#delete-a-repository-subscription
+     */
+    "DELETE /repos/:owner/:repo/subscription": {
+        parameters: ActivityDeleteRepoSubscriptionEndpoint;
+        request: ActivityDeleteRepoSubscriptionRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#disable-vulnerability-alerts
+     */
+    "DELETE /repos/:owner/:repo/vulnerability-alerts": {
+        parameters: ReposDisableVulnerabilityAlertsEndpoint;
+        request: ReposDisableVulnerabilityAlertsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#delete-a-scim-group-from-an-enterprise
+     */
+    "DELETE /scim/v2/enterprises/:enterprise/Groups/:scim_group_id": {
+        parameters: EnterpriseAdminDeleteScimGroupFromEnterpriseEndpoint;
+        request: EnterpriseAdminDeleteScimGroupFromEnterpriseRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#delete-a-scim-user-from-an-enterprise
+     */
+    "DELETE /scim/v2/enterprises/:enterprise/Users/:scim_user_id": {
+        parameters: EnterpriseAdminDeleteUserFromEnterpriseEndpoint;
+        request: EnterpriseAdminDeleteUserFromEnterpriseRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/scim/#delete-a-scim-user-from-an-organization
+     */
+    "DELETE /scim/v2/organizations/:org/Users/:scim_user_id": {
+        parameters: ScimDeleteUserFromOrgEndpoint;
+        request: ScimDeleteUserFromOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#delete-a-team-legacy
+     */
+    "DELETE /teams/:team_id": {
+        parameters: TeamsDeleteLegacyEndpoint;
+        request: TeamsDeleteLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#delete-a-discussion-legacy
+     */
+    "DELETE /teams/:team_id/discussions/:discussion_number": {
+        parameters: TeamsDeleteDiscussionLegacyEndpoint;
+        request: TeamsDeleteDiscussionLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#delete-a-discussion-comment-legacy
+     */
+    "DELETE /teams/:team_id/discussions/:discussion_number/comments/:comment_number": {
+        parameters: TeamsDeleteDiscussionCommentLegacyEndpoint;
+        request: TeamsDeleteDiscussionCommentLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#remove-team-member-legacy
+     */
+    "DELETE /teams/:team_id/members/:username": {
+        parameters: TeamsRemoveMemberLegacyEndpoint;
+        request: TeamsRemoveMemberLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#remove-team-membership-for-a-user-legacy
+     */
+    "DELETE /teams/:team_id/memberships/:username": {
+        parameters: TeamsRemoveMembershipForUserLegacyEndpoint;
+        request: TeamsRemoveMembershipForUserLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#remove-a-project-from-a-team-legacy
+     */
+    "DELETE /teams/:team_id/projects/:project_id": {
+        parameters: TeamsRemoveProjectLegacyEndpoint;
+        request: TeamsRemoveProjectLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#remove-a-repository-from-a-team-legacy
+     */
+    "DELETE /teams/:team_id/repos/:owner/:repo": {
+        parameters: TeamsRemoveRepoLegacyEndpoint;
+        request: TeamsRemoveRepoLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/blocking/#unblock-a-user
+     */
+    "DELETE /user/blocks/:username": {
+        parameters: UsersUnblockEndpoint;
+        request: UsersUnblockRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/emails/#delete-an-email-address-for-the-authenticated-user
+     */
+    "DELETE /user/emails": {
+        parameters: UsersDeleteEmailForAuthenticatedEndpoint;
+        request: UsersDeleteEmailForAuthenticatedRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#unfollow-a-user
+     */
+    "DELETE /user/following/:username": {
+        parameters: UsersUnfollowEndpoint;
+        request: UsersUnfollowRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/gpg_keys/#delete-a-gpg-key-for-the-authenticated-user
+     */
+    "DELETE /user/gpg_keys/:gpg_key_id": {
+        parameters: UsersDeleteGpgKeyForAuthenticatedEndpoint;
+        request: UsersDeleteGpgKeyForAuthenticatedRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#remove-a-repository-from-an-app-installation
+     */
+    "DELETE /user/installations/:installation_id/repositories/:repository_id": {
+        parameters: AppsRemoveRepoFromInstallationEndpoint;
+        request: AppsRemoveRepoFromInstallationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/keys/#delete-a-public-ssh-key-for-the-authenticated-user
+     */
+    "DELETE /user/keys/:key_id": {
+        parameters: UsersDeletePublicSshKeyForAuthenticatedEndpoint;
+        request: UsersDeletePublicSshKeyForAuthenticatedRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#delete-a-user-migration-archive
+     */
+    "DELETE /user/migrations/:migration_id/archive": {
+        parameters: MigrationsDeleteArchiveForAuthenticatedUserEndpoint;
+        request: MigrationsDeleteArchiveForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#unlock-a-user-repository
+     */
+    "DELETE /user/migrations/:migration_id/repos/:repo_name/lock": {
+        parameters: MigrationsUnlockRepoForAuthenticatedUserEndpoint;
+        request: MigrationsUnlockRepoForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/invitations/#decline-a-repository-invitation
+     */
+    "DELETE /user/repository_invitations/:invitation_id": {
+        parameters: ReposDeclineInvitationEndpoint;
+        request: ReposDeclineInvitationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#unstar-a-repository-for-the-authenticated-user
+     */
+    "DELETE /user/starred/:owner/:repo": {
+        parameters: ActivityUnstarRepoForAuthenticatedUserEndpoint;
+        request: ActivityUnstarRepoForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#get-the-authenticated-app
+     */
+    "GET /app": {
+        parameters: AppsGetAuthenticatedEndpoint;
+        request: AppsGetAuthenticatedRequestOptions;
+        response: OctokitResponse<AppsGetAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#list-installations-for-the-authenticated-app
+     */
+    "GET /app/installations": {
+        parameters: AppsListInstallationsEndpoint;
+        request: AppsListInstallationsRequestOptions;
+        response: OctokitResponse<AppsListInstallationsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#get-an-installation-for-the-authenticated-app
+     */
+    "GET /app/installations/:installation_id": {
+        parameters: AppsGetInstallationEndpoint;
+        request: AppsGetInstallationRequestOptions;
+        response: OctokitResponse<AppsGetInstallationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/oauth_applications/#check-an-authorization
+     */
+    "GET /applications/:client_id/tokens/:access_token": {
+        parameters: AppsCheckAuthorizationEndpoint;
+        request: AppsCheckAuthorizationRequestOptions;
+        response: OctokitResponse<AppsCheckAuthorizationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#list-your-grants
+     */
+    "GET /applications/grants": {
+        parameters: OauthAuthorizationsListGrantsEndpoint;
+        request: OauthAuthorizationsListGrantsRequestOptions;
+        response: OctokitResponse<OauthAuthorizationsListGrantsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#get-a-single-grant
+     */
+    "GET /applications/grants/:grant_id": {
+        parameters: OauthAuthorizationsGetGrantEndpoint;
+        request: OauthAuthorizationsGetGrantRequestOptions;
+        response: OctokitResponse<OauthAuthorizationsGetGrantResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#get-an-app
+     */
+    "GET /apps/:app_slug": {
+        parameters: AppsGetBySlugEndpoint;
+        request: AppsGetBySlugRequestOptions;
+        response: OctokitResponse<AppsGetBySlugResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#list-your-authorizations
+     */
+    "GET /authorizations": {
+        parameters: OauthAuthorizationsListAuthorizationsEndpoint;
+        request: OauthAuthorizationsListAuthorizationsRequestOptions;
+        response: OctokitResponse<OauthAuthorizationsListAuthorizationsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#get-a-single-authorization
+     */
+    "GET /authorizations/:authorization_id": {
+        parameters: OauthAuthorizationsGetAuthorizationEndpoint;
+        request: OauthAuthorizationsGetAuthorizationRequestOptions;
+        response: OctokitResponse<OauthAuthorizationsGetAuthorizationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/codes_of_conduct/#get-all-codes-of-conduct
+     */
+    "GET /codes_of_conduct": {
+        parameters: CodesOfConductGetAllCodesOfConductEndpoint;
+        request: CodesOfConductGetAllCodesOfConductRequestOptions;
+        response: OctokitResponse<CodesOfConductGetAllCodesOfConductResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/codes_of_conduct/#get-a-code-of-conduct
+     */
+    "GET /codes_of_conduct/:key": {
+        parameters: CodesOfConductGetConductCodeEndpoint;
+        request: CodesOfConductGetConductCodeRequestOptions;
+        response: OctokitResponse<CodesOfConductGetConductCodeResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/emojis/#get-emojis
+     */
+    "GET /emojis": {
+        parameters: EmojisGetEndpoint;
+        request: EmojisGetRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-github-actions-billing-for-an-enterprise
+     */
+    "GET /enterprises/:enterprise_id/settings/billing/actions": {
+        parameters: BillingGetGithubActionsBillingGheEndpoint;
+        request: BillingGetGithubActionsBillingGheRequestOptions;
+        response: OctokitResponse<BillingGetGithubActionsBillingGheResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-github-packages-billing-for-an-enterprise
+     */
+    "GET /enterprises/:enterprise_id/settings/billing/packages": {
+        parameters: BillingGetGithubPackagesBillingGheEndpoint;
+        request: BillingGetGithubPackagesBillingGheRequestOptions;
+        response: OctokitResponse<BillingGetGithubPackagesBillingGheResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-shared-storage-billing-for-an-enterprise
+     */
+    "GET /enterprises/:enterprise_id/settings/billing/shared-storage": {
+        parameters: BillingGetSharedStorageBillingGheEndpoint;
+        request: BillingGetSharedStorageBillingGheRequestOptions;
+        response: OctokitResponse<BillingGetSharedStorageBillingGheResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-public-events
+     */
+    "GET /events": {
+        parameters: ActivityListPublicEventsEndpoint;
+        request: ActivityListPublicEventsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/feeds/#get-feeds
+     */
+    "GET /feeds": {
+        parameters: ActivityGetFeedsEndpoint;
+        request: ActivityGetFeedsRequestOptions;
+        response: OctokitResponse<ActivityGetFeedsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-gists-for-the-authenticated-user
+     */
+    "GET /gists": {
+        parameters: GistsListEndpoint;
+        request: GistsListRequestOptions;
+        response: OctokitResponse<GistsListResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#get-a-gist
+     */
+    "GET /gists/:gist_id": {
+        parameters: GistsGetEndpoint;
+        request: GistsGetRequestOptions;
+        response: OctokitResponse<GistsGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#get-a-gist-revision
+     */
+    "GET /gists/:gist_id/:sha": {
+        parameters: GistsGetRevisionEndpoint;
+        request: GistsGetRevisionRequestOptions;
+        response: OctokitResponse<GistsGetRevisionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/comments/#list-gist-comments
+     */
+    "GET /gists/:gist_id/comments": {
+        parameters: GistsListCommentsEndpoint;
+        request: GistsListCommentsRequestOptions;
+        response: OctokitResponse<GistsListCommentsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/comments/#get-a-gist-comment
+     */
+    "GET /gists/:gist_id/comments/:comment_id": {
+        parameters: GistsGetCommentEndpoint;
+        request: GistsGetCommentRequestOptions;
+        response: OctokitResponse<GistsGetCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-gist-commits
+     */
+    "GET /gists/:gist_id/commits": {
+        parameters: GistsListCommitsEndpoint;
+        request: GistsListCommitsRequestOptions;
+        response: OctokitResponse<GistsListCommitsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-gist-forks
+     */
+    "GET /gists/:gist_id/forks": {
+        parameters: GistsListForksEndpoint;
+        request: GistsListForksRequestOptions;
+        response: OctokitResponse<GistsListForksResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#check-if-a-gist-is-starred
+     */
+    "GET /gists/:gist_id/star": {
+        parameters: GistsCheckIsStarredEndpoint;
+        request: GistsCheckIsStarredRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-public-gists
+     */
+    "GET /gists/public": {
+        parameters: GistsListPublicEndpoint;
+        request: GistsListPublicRequestOptions;
+        response: OctokitResponse<GistsListPublicResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-starred-gists
+     */
+    "GET /gists/starred": {
+        parameters: GistsListStarredEndpoint;
+        request: GistsListStarredRequestOptions;
+        response: OctokitResponse<GistsListStarredResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gitignore/#get-all-gitignore-templates
+     */
+    "GET /gitignore/templates": {
+        parameters: GitignoreGetAllTemplatesEndpoint;
+        request: GitignoreGetAllTemplatesRequestOptions;
+        response: OctokitResponse<GitignoreGetAllTemplatesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gitignore/#get-a-gitignore-template
+     */
+    "GET /gitignore/templates/:name": {
+        parameters: GitignoreGetTemplateEndpoint;
+        request: GitignoreGetTemplateRequestOptions;
+        response: OctokitResponse<GitignoreGetTemplateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#list-repositories-accessible-to-the-app-installation
+     */
+    "GET /installation/repositories": {
+        parameters: AppsListReposAccessibleToInstallationEndpoint;
+        request: AppsListReposAccessibleToInstallationRequestOptions;
+        response: OctokitResponse<AppsListReposAccessibleToInstallationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#list-issues-assigned-to-the-authenticated-user
+     */
+    "GET /issues": {
+        parameters: IssuesListEndpoint;
+        request: IssuesListRequestOptions;
+        response: OctokitResponse<IssuesListResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/licenses/#get-all-commonly-used-licenses
+     */
+    "GET /licenses": {
+        parameters: LicensesGetAllCommonlyUsedEndpoint;
+        request: LicensesGetAllCommonlyUsedRequestOptions;
+        response: OctokitResponse<LicensesGetAllCommonlyUsedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/licenses/#get-a-license
+     */
+    "GET /licenses/:license": {
+        parameters: LicensesGetEndpoint;
+        request: LicensesGetRequestOptions;
+        response: OctokitResponse<LicensesGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#get-a-subscription-plan-for-an-account
+     */
+    "GET /marketplace_listing/accounts/:account_id": {
+        parameters: AppsGetSubscriptionPlanForAccountEndpoint;
+        request: AppsGetSubscriptionPlanForAccountRequestOptions;
+        response: OctokitResponse<AppsGetSubscriptionPlanForAccountResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-plans
+     */
+    "GET /marketplace_listing/plans": {
+        parameters: AppsListPlansEndpoint;
+        request: AppsListPlansRequestOptions;
+        response: OctokitResponse<AppsListPlansResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-accounts-for-a-plan
+     */
+    "GET /marketplace_listing/plans/:plan_id/accounts": {
+        parameters: AppsListAccountsForPlanEndpoint;
+        request: AppsListAccountsForPlanRequestOptions;
+        response: OctokitResponse<AppsListAccountsForPlanResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#get-a-subscription-plan-for-an-account-stubbed
+     */
+    "GET /marketplace_listing/stubbed/accounts/:account_id": {
+        parameters: AppsGetSubscriptionPlanForAccountStubbedEndpoint;
+        request: AppsGetSubscriptionPlanForAccountStubbedRequestOptions;
+        response: OctokitResponse<AppsGetSubscriptionPlanForAccountStubbedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-plans-stubbed
+     */
+    "GET /marketplace_listing/stubbed/plans": {
+        parameters: AppsListPlansStubbedEndpoint;
+        request: AppsListPlansStubbedRequestOptions;
+        response: OctokitResponse<AppsListPlansStubbedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-accounts-for-a-plan-stubbed
+     */
+    "GET /marketplace_listing/stubbed/plans/:plan_id/accounts": {
+        parameters: AppsListAccountsForPlanStubbedEndpoint;
+        request: AppsListAccountsForPlanStubbedRequestOptions;
+        response: OctokitResponse<AppsListAccountsForPlanStubbedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/meta/#get-github-meta-information
+     */
+    "GET /meta": {
+        parameters: MetaGetEndpoint;
+        request: MetaGetRequestOptions;
+        response: OctokitResponse<MetaGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-public-events-for-a-network-of-repositories
+     */
+    "GET /networks/:owner/:repo/events": {
+        parameters: ActivityListPublicEventsForRepoNetworkEndpoint;
+        request: ActivityListPublicEventsForRepoNetworkRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#list-notifications-for-the-authenticated-user
+     */
+    "GET /notifications": {
+        parameters: ActivityListNotificationsForAuthenticatedUserEndpoint;
+        request: ActivityListNotificationsForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<ActivityListNotificationsForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#get-a-thread
+     */
+    "GET /notifications/threads/:thread_id": {
+        parameters: ActivityGetThreadEndpoint;
+        request: ActivityGetThreadRequestOptions;
+        response: OctokitResponse<ActivityGetThreadResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#get-a-thread-subscription-for-the-authenticated-user
+     */
+    "GET /notifications/threads/:thread_id/subscription": {
+        parameters: ActivityGetThreadSubscriptionForAuthenticatedUserEndpoint;
+        request: ActivityGetThreadSubscriptionForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<ActivityGetThreadSubscriptionForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-organizations
+     */
+    "GET /organizations": {
+        parameters: OrgsListEndpoint;
+        request: OrgsListRequestOptions;
+        response: OctokitResponse<OrgsListResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#get-an-organization
+     */
+    "GET /orgs/:org": {
+        parameters: OrgsGetEndpoint;
+        request: OrgsGetRequestOptions;
+        response: OctokitResponse<OrgsGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#list-self-hosted-runners-for-an-organization
+     */
+    "GET /orgs/:org/actions/runners": {
+        parameters: ActionsListSelfHostedRunnersForOrgEndpoint;
+        request: ActionsListSelfHostedRunnersForOrgRequestOptions;
+        response: OctokitResponse<ActionsListSelfHostedRunnersForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#get-a-self-hosted-runner-for-an-organization
+     */
+    "GET /orgs/:org/actions/runners/:runner_id": {
+        parameters: ActionsGetSelfHostedRunnerForOrgEndpoint;
+        request: ActionsGetSelfHostedRunnerForOrgRequestOptions;
+        response: OctokitResponse<ActionsGetSelfHostedRunnerForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#list-runner-applications-for-an-organization
+     */
+    "GET /orgs/:org/actions/runners/downloads": {
+        parameters: ActionsListRunnerApplicationsForOrgEndpoint;
+        request: ActionsListRunnerApplicationsForOrgRequestOptions;
+        response: OctokitResponse<ActionsListRunnerApplicationsForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#list-organization-secrets
+     */
+    "GET /orgs/:org/actions/secrets": {
+        parameters: ActionsListOrgSecretsEndpoint;
+        request: ActionsListOrgSecretsRequestOptions;
+        response: OctokitResponse<ActionsListOrgSecretsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#get-an-organization-secret
+     */
+    "GET /orgs/:org/actions/secrets/:secret_name": {
+        parameters: ActionsGetOrgSecretEndpoint;
+        request: ActionsGetOrgSecretRequestOptions;
+        response: OctokitResponse<ActionsGetOrgSecretResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#list-selected-repositories-for-an-organization-secret
+     */
+    "GET /orgs/:org/actions/secrets/:secret_name/repositories": {
+        parameters: ActionsListSelectedReposForOrgSecretEndpoint;
+        request: ActionsListSelectedReposForOrgSecretRequestOptions;
+        response: OctokitResponse<ActionsListSelectedReposForOrgSecretResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#get-an-organization-public-key
+     */
+    "GET /orgs/:org/actions/secrets/public-key": {
+        parameters: ActionsGetOrgPublicKeyEndpoint;
+        request: ActionsGetOrgPublicKeyRequestOptions;
+        response: OctokitResponse<ActionsGetOrgPublicKeyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/blocking/#list-users-blocked-by-an-organization
+     */
+    "GET /orgs/:org/blocks": {
+        parameters: OrgsListBlockedUsersEndpoint;
+        request: OrgsListBlockedUsersRequestOptions;
+        response: OctokitResponse<OrgsListBlockedUsersResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/blocking/#check-if-a-user-is-blocked-by-an-organization
+     */
+    "GET /orgs/:org/blocks/:username": {
+        parameters: OrgsCheckBlockedUserEndpoint;
+        request: OrgsCheckBlockedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-saml-sso-authorizations-for-an-organization
+     */
+    "GET /orgs/:org/credential-authorizations": {
+        parameters: OrgsListSamlSsoAuthorizationsEndpoint;
+        request: OrgsListSamlSsoAuthorizationsRequestOptions;
+        response: OctokitResponse<OrgsListSamlSsoAuthorizationsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-public-organization-events
+     */
+    "GET /orgs/:org/events": {
+        parameters: ActivityListPublicOrgEventsEndpoint;
+        request: ActivityListPublicOrgEventsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/hooks/#list-organization-webhooks
+     */
+    "GET /orgs/:org/hooks": {
+        parameters: OrgsListWebhooksEndpoint;
+        request: OrgsListWebhooksRequestOptions;
+        response: OctokitResponse<OrgsListWebhooksResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/hooks/#get-an-organization-webhook
+     */
+    "GET /orgs/:org/hooks/:hook_id": {
+        parameters: OrgsGetWebhookEndpoint;
+        request: OrgsGetWebhookRequestOptions;
+        response: OctokitResponse<OrgsGetWebhookResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#get-an-organization-installation-for-the-authenticated-app
+     */
+    "GET /orgs/:org/installation": {
+        parameters: AppsGetOrgInstallationEndpoint;
+        request: AppsGetOrgInstallationRequestOptions;
+        response: OctokitResponse<AppsGetOrgInstallationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-app-installations-for-an-organization
+     */
+    "GET /orgs/:org/installations": {
+        parameters: OrgsListAppInstallationsEndpoint;
+        request: OrgsListAppInstallationsRequestOptions;
+        response: OctokitResponse<OrgsListAppInstallationsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/interactions/orgs/#get-interaction-restrictions-for-an-organization
+     */
+    "GET /orgs/:org/interaction-limits": {
+        parameters: InteractionsGetRestrictionsForOrgEndpoint;
+        request: InteractionsGetRestrictionsForOrgRequestOptions;
+        response: OctokitResponse<InteractionsGetRestrictionsForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-pending-organization-invitations
+     */
+    "GET /orgs/:org/invitations": {
+        parameters: OrgsListPendingInvitationsEndpoint;
+        request: OrgsListPendingInvitationsRequestOptions;
+        response: OctokitResponse<OrgsListPendingInvitationsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-organization-invitation-teams
+     */
+    "GET /orgs/:org/invitations/:invitation_id/teams": {
+        parameters: OrgsListInvitationTeamsEndpoint;
+        request: OrgsListInvitationTeamsRequestOptions;
+        response: OctokitResponse<OrgsListInvitationTeamsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#list-organization-issues-assigned-to-the-authenticated-user
+     */
+    "GET /orgs/:org/issues": {
+        parameters: IssuesListForOrgEndpoint;
+        request: IssuesListForOrgRequestOptions;
+        response: OctokitResponse<IssuesListForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-organization-members
+     */
+    "GET /orgs/:org/members": {
+        parameters: OrgsListMembersEndpoint;
+        request: OrgsListMembersRequestOptions;
+        response: OctokitResponse<OrgsListMembersResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#check-organization-membership-for-a-user
+     */
+    "GET /orgs/:org/members/:username": {
+        parameters: OrgsCheckMembershipForUserEndpoint;
+        request: OrgsCheckMembershipForUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#get-organization-membership-for-a-user
+     */
+    "GET /orgs/:org/memberships/:username": {
+        parameters: OrgsGetMembershipForUserEndpoint;
+        request: OrgsGetMembershipForUserRequestOptions;
+        response: OctokitResponse<OrgsGetMembershipForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#list-organization-migrations
+     */
+    "GET /orgs/:org/migrations": {
+        parameters: MigrationsListForOrgEndpoint;
+        request: MigrationsListForOrgRequestOptions;
+        response: OctokitResponse<MigrationsListForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#get-an-organization-migration-status
+     */
+    "GET /orgs/:org/migrations/:migration_id": {
+        parameters: MigrationsGetStatusForOrgEndpoint;
+        request: MigrationsGetStatusForOrgRequestOptions;
+        response: OctokitResponse<MigrationsGetStatusForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#download-an-organization-migration-archive
+     */
+    "GET /orgs/:org/migrations/:migration_id/archive": {
+        parameters: MigrationsDownloadArchiveForOrgEndpoint;
+        request: MigrationsDownloadArchiveForOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#list-repositories-in-an-organization-migration
+     */
+    "GET /orgs/:org/migrations/:migration_id/repositories": {
+        parameters: MigrationsListReposForOrgEndpoint;
+        request: MigrationsListReposForOrgRequestOptions;
+        response: OctokitResponse<MigrationsListReposForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/outside_collaborators/#list-outside-collaborators-for-an-organization
+     */
+    "GET /orgs/:org/outside_collaborators": {
+        parameters: OrgsListOutsideCollaboratorsEndpoint;
+        request: OrgsListOutsideCollaboratorsRequestOptions;
+        response: OctokitResponse<OrgsListOutsideCollaboratorsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#list-organization-projects
+     */
+    "GET /orgs/:org/projects": {
+        parameters: ProjectsListForOrgEndpoint;
+        request: ProjectsListForOrgRequestOptions;
+        response: OctokitResponse<ProjectsListForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-public-organization-members
+     */
+    "GET /orgs/:org/public_members": {
+        parameters: OrgsListPublicMembersEndpoint;
+        request: OrgsListPublicMembersRequestOptions;
+        response: OctokitResponse<OrgsListPublicMembersResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#check-public-organization-membership-for-a-user
+     */
+    "GET /orgs/:org/public_members/:username": {
+        parameters: OrgsCheckPublicMembershipForUserEndpoint;
+        request: OrgsCheckPublicMembershipForUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-organization-repositories
+     */
+    "GET /orgs/:org/repos": {
+        parameters: ReposListForOrgEndpoint;
+        request: ReposListForOrgRequestOptions;
+        response: OctokitResponse<ReposListForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-github-actions-billing-for-an-organization
+     */
+    "GET /orgs/:org/settings/billing/actions": {
+        parameters: BillingGetGithubActionsBillingOrgEndpoint;
+        request: BillingGetGithubActionsBillingOrgRequestOptions;
+        response: OctokitResponse<BillingGetGithubActionsBillingOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-github-packages-billing-for-an-organization
+     */
+    "GET /orgs/:org/settings/billing/packages": {
+        parameters: BillingGetGithubPackagesBillingOrgEndpoint;
+        request: BillingGetGithubPackagesBillingOrgRequestOptions;
+        response: OctokitResponse<BillingGetGithubPackagesBillingOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-shared-storage-billing-for-an-organization
+     */
+    "GET /orgs/:org/settings/billing/shared-storage": {
+        parameters: BillingGetSharedStorageBillingOrgEndpoint;
+        request: BillingGetSharedStorageBillingOrgRequestOptions;
+        response: OctokitResponse<BillingGetSharedStorageBillingOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/team_sync/#list-idp-groups-for-an-organization
+     */
+    "GET /orgs/:org/team-sync/groups": {
+        parameters: TeamsListIdPGroupsForOrgEndpoint;
+        request: TeamsListIdPGroupsForOrgRequestOptions;
+        response: OctokitResponse<TeamsListIdPGroupsForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-teams
+     */
+    "GET /orgs/:org/teams": {
+        parameters: TeamsListEndpoint;
+        request: TeamsListRequestOptions;
+        response: OctokitResponse<TeamsListResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#get-a-team-by-name
+     */
+    "GET /orgs/:org/teams/:team_slug": {
+        parameters: TeamsGetByNameEndpoint;
+        request: TeamsGetByNameRequestOptions;
+        response: OctokitResponse<TeamsGetByNameResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#list-discussions
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions": {
+        parameters: TeamsListDiscussionsInOrgEndpoint;
+        request: TeamsListDiscussionsInOrgRequestOptions;
+        response: OctokitResponse<TeamsListDiscussionsInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#get-a-discussion
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number": {
+        parameters: TeamsGetDiscussionInOrgEndpoint;
+        request: TeamsGetDiscussionInOrgRequestOptions;
+        response: OctokitResponse<TeamsGetDiscussionInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#list-discussion-comments
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments": {
+        parameters: TeamsListDiscussionCommentsInOrgEndpoint;
+        request: TeamsListDiscussionCommentsInOrgRequestOptions;
+        response: OctokitResponse<TeamsListDiscussionCommentsInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#get-a-discussion-comment
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number": {
+        parameters: TeamsGetDiscussionCommentInOrgEndpoint;
+        request: TeamsGetDiscussionCommentInOrgRequestOptions;
+        response: OctokitResponse<TeamsGetDiscussionCommentInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions": {
+        parameters: ReactionsListForTeamDiscussionCommentInOrgEndpoint;
+        request: ReactionsListForTeamDiscussionCommentInOrgRequestOptions;
+        response: OctokitResponse<ReactionsListForTeamDiscussionCommentInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion
+     */
+    "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions": {
+        parameters: ReactionsListForTeamDiscussionInOrgEndpoint;
+        request: ReactionsListForTeamDiscussionInOrgRequestOptions;
+        response: OctokitResponse<ReactionsListForTeamDiscussionInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#list-pending-team-invitations
+     */
+    "GET /orgs/:org/teams/:team_slug/invitations": {
+        parameters: TeamsListPendingInvitationsInOrgEndpoint;
+        request: TeamsListPendingInvitationsInOrgRequestOptions;
+        response: OctokitResponse<TeamsListPendingInvitationsInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#list-team-members
+     */
+    "GET /orgs/:org/teams/:team_slug/members": {
+        parameters: TeamsListMembersInOrgEndpoint;
+        request: TeamsListMembersInOrgRequestOptions;
+        response: OctokitResponse<TeamsListMembersInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#get-team-membership-for-a-user
+     */
+    "GET /orgs/:org/teams/:team_slug/memberships/:username": {
+        parameters: TeamsGetMembershipForUserInOrgEndpoint;
+        request: TeamsGetMembershipForUserInOrgRequestOptions;
+        response: OctokitResponse<TeamsGetMembershipForUserInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-team-projects
+     */
+    "GET /orgs/:org/teams/:team_slug/projects": {
+        parameters: TeamsListProjectsInOrgEndpoint;
+        request: TeamsListProjectsInOrgRequestOptions;
+        response: OctokitResponse<TeamsListProjectsInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#check-team-permissions-for-a-project
+     */
+    "GET /orgs/:org/teams/:team_slug/projects/:project_id": {
+        parameters: TeamsCheckPermissionsForProjectInOrgEndpoint;
+        request: TeamsCheckPermissionsForProjectInOrgRequestOptions;
+        response: OctokitResponse<TeamsCheckPermissionsForProjectInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-team-repositories
+     */
+    "GET /orgs/:org/teams/:team_slug/repos": {
+        parameters: TeamsListReposInOrgEndpoint;
+        request: TeamsListReposInOrgRequestOptions;
+        response: OctokitResponse<TeamsListReposInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#check-team-permissions-for-a-repository
+     */
+    "GET /orgs/:org/teams/:team_slug/repos/:owner/:repo": {
+        parameters: TeamsCheckPermissionsForRepoInOrgEndpoint;
+        request: TeamsCheckPermissionsForRepoInOrgRequestOptions;
+        response: OctokitResponse<TeamsCheckPermissionsForRepoInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/team_sync/#list-idp-groups-for-a-team
+     */
+    "GET /orgs/:org/teams/:team_slug/team-sync/group-mappings": {
+        parameters: TeamsListIdPGroupsInOrgEndpoint;
+        request: TeamsListIdPGroupsInOrgRequestOptions;
+        response: OctokitResponse<TeamsListIdPGroupsInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-child-teams
+     */
+    "GET /orgs/:org/teams/:team_slug/teams": {
+        parameters: TeamsListChildInOrgEndpoint;
+        request: TeamsListChildInOrgRequestOptions;
+        response: OctokitResponse<TeamsListChildInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#get-a-project
+     */
+    "GET /projects/:project_id": {
+        parameters: ProjectsGetEndpoint;
+        request: ProjectsGetRequestOptions;
+        response: OctokitResponse<ProjectsGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/collaborators/#list-project-collaborators
+     */
+    "GET /projects/:project_id/collaborators": {
+        parameters: ProjectsListCollaboratorsEndpoint;
+        request: ProjectsListCollaboratorsRequestOptions;
+        response: OctokitResponse<ProjectsListCollaboratorsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/collaborators/#get-project-permission-for-a-user
+     */
+    "GET /projects/:project_id/collaborators/:username/permission": {
+        parameters: ProjectsGetPermissionForUserEndpoint;
+        request: ProjectsGetPermissionForUserRequestOptions;
+        response: OctokitResponse<ProjectsGetPermissionForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/columns/#list-project-columns
+     */
+    "GET /projects/:project_id/columns": {
+        parameters: ProjectsListColumnsEndpoint;
+        request: ProjectsListColumnsRequestOptions;
+        response: OctokitResponse<ProjectsListColumnsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/columns/#get-a-project-column
+     */
+    "GET /projects/columns/:column_id": {
+        parameters: ProjectsGetColumnEndpoint;
+        request: ProjectsGetColumnRequestOptions;
+        response: OctokitResponse<ProjectsGetColumnResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/cards/#list-project-cards
+     */
+    "GET /projects/columns/:column_id/cards": {
+        parameters: ProjectsListCardsEndpoint;
+        request: ProjectsListCardsRequestOptions;
+        response: OctokitResponse<ProjectsListCardsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/cards/#get-a-project-card
+     */
+    "GET /projects/columns/cards/:card_id": {
+        parameters: ProjectsGetCardEndpoint;
+        request: ProjectsGetCardRequestOptions;
+        response: OctokitResponse<ProjectsGetCardResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/rate_limit/#get-rate-limit-status-for-the-authenticated-user
+     */
+    "GET /rate_limit": {
+        parameters: RateLimitGetEndpoint;
+        request: RateLimitGetRequestOptions;
+        response: OctokitResponse<RateLimitGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#get-a-repository
+     */
+    "GET /repos/:owner/:repo": {
+        parameters: ReposGetEndpoint;
+        request: ReposGetRequestOptions;
+        response: OctokitResponse<ReposGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/contents/#download-a-repository-archive
+     */
+    "GET /repos/:owner/:repo/:archive_format/:ref": {
+        parameters: ReposDownloadArchiveEndpoint;
+        request: ReposDownloadArchiveRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/artifacts/#list-artifacts-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/artifacts": {
+        parameters: ActionsListArtifactsForRepoEndpoint;
+        request: ActionsListArtifactsForRepoRequestOptions;
+        response: OctokitResponse<ActionsListArtifactsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/artifacts/#get-an-artifact
+     */
+    "GET /repos/:owner/:repo/actions/artifacts/:artifact_id": {
+        parameters: ActionsGetArtifactEndpoint;
+        request: ActionsGetArtifactRequestOptions;
+        response: OctokitResponse<ActionsGetArtifactResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/artifacts/#download-an-artifact
+     */
+    "GET /repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format": {
+        parameters: ActionsDownloadArtifactEndpoint;
+        request: ActionsDownloadArtifactRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-jobs/#get-a-job-for-a-workflow-run
+     */
+    "GET /repos/:owner/:repo/actions/jobs/:job_id": {
+        parameters: ActionsGetJobForWorkflowRunEndpoint;
+        request: ActionsGetJobForWorkflowRunRequestOptions;
+        response: OctokitResponse<ActionsGetJobForWorkflowRunResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-jobs/#download-job-logs-for-a-workflow-run
+     */
+    "GET /repos/:owner/:repo/actions/jobs/:job_id/logs": {
+        parameters: ActionsDownloadJobLogsForWorkflowRunEndpoint;
+        request: ActionsDownloadJobLogsForWorkflowRunRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#list-self-hosted-runners-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/runners": {
+        parameters: ActionsListSelfHostedRunnersForRepoEndpoint;
+        request: ActionsListSelfHostedRunnersForRepoRequestOptions;
+        response: OctokitResponse<ActionsListSelfHostedRunnersForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#get-a-self-hosted-runner-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/runners/:runner_id": {
+        parameters: ActionsGetSelfHostedRunnerForRepoEndpoint;
+        request: ActionsGetSelfHostedRunnerForRepoRequestOptions;
+        response: OctokitResponse<ActionsGetSelfHostedRunnerForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#list-runner-applications-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/runners/downloads": {
+        parameters: ActionsListRunnerApplicationsForRepoEndpoint;
+        request: ActionsListRunnerApplicationsForRepoRequestOptions;
+        response: OctokitResponse<ActionsListRunnerApplicationsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#list-workflow-runs-for-a-repository
+     */
+    "GET /repos/:owner/:repo/actions/runs": {
+        parameters: ActionsListWorkflowRunsForRepoEndpoint;
+        request: ActionsListWorkflowRunsForRepoRequestOptions;
+        response: OctokitResponse<ActionsListWorkflowRunsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#get-a-workflow-run
+     */
+    "GET /repos/:owner/:repo/actions/runs/:run_id": {
+        parameters: ActionsGetWorkflowRunEndpoint;
+        request: ActionsGetWorkflowRunRequestOptions;
+        response: OctokitResponse<ActionsGetWorkflowRunResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/artifacts/#list-workflow-run-artifacts
+     */
+    "GET /repos/:owner/:repo/actions/runs/:run_id/artifacts": {
+        parameters: ActionsListWorkflowRunArtifactsEndpoint;
+        request: ActionsListWorkflowRunArtifactsRequestOptions;
+        response: OctokitResponse<ActionsListWorkflowRunArtifactsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-jobs/#list-jobs-for-a-workflow-run
+     */
+    "GET /repos/:owner/:repo/actions/runs/:run_id/jobs": {
+        parameters: ActionsListJobsForWorkflowRunEndpoint;
+        request: ActionsListJobsForWorkflowRunRequestOptions;
+        response: OctokitResponse<ActionsListJobsForWorkflowRunResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#download-workflow-run-logs
+     */
+    "GET /repos/:owner/:repo/actions/runs/:run_id/logs": {
+        parameters: ActionsDownloadWorkflowRunLogsEndpoint;
+        request: ActionsDownloadWorkflowRunLogsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#get-workflow-run-usage
+     */
+    "GET /repos/:owner/:repo/actions/runs/:run_id/timing": {
+        parameters: ActionsGetWorkflowRunUsageEndpoint;
+        request: ActionsGetWorkflowRunUsageRequestOptions;
+        response: OctokitResponse<ActionsGetWorkflowRunUsageResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#list-repository-secrets
+     */
+    "GET /repos/:owner/:repo/actions/secrets": {
+        parameters: ActionsListRepoSecretsEndpoint;
+        request: ActionsListRepoSecretsRequestOptions;
+        response: OctokitResponse<ActionsListRepoSecretsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#get-a-repository-secret
+     */
+    "GET /repos/:owner/:repo/actions/secrets/:secret_name": {
+        parameters: ActionsGetRepoSecretEndpoint;
+        request: ActionsGetRepoSecretRequestOptions;
+        response: OctokitResponse<ActionsGetRepoSecretResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#get-a-repository-public-key
+     */
+    "GET /repos/:owner/:repo/actions/secrets/public-key": {
+        parameters: ActionsGetRepoPublicKeyEndpoint;
+        request: ActionsGetRepoPublicKeyRequestOptions;
+        response: OctokitResponse<ActionsGetRepoPublicKeyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflows/#list-repository-workflows
+     */
+    "GET /repos/:owner/:repo/actions/workflows": {
+        parameters: ActionsListRepoWorkflowsEndpoint;
+        request: ActionsListRepoWorkflowsRequestOptions;
+        response: OctokitResponse<ActionsListRepoWorkflowsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflows/#get-a-workflow
+     */
+    "GET /repos/:owner/:repo/actions/workflows/:workflow_id": {
+        parameters: ActionsGetWorkflowEndpoint;
+        request: ActionsGetWorkflowRequestOptions;
+        response: OctokitResponse<ActionsGetWorkflowResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#list-workflow-runs
+     */
+    "GET /repos/:owner/:repo/actions/workflows/:workflow_id/runs": {
+        parameters: ActionsListWorkflowRunsEndpoint;
+        request: ActionsListWorkflowRunsRequestOptions;
+        response: OctokitResponse<ActionsListWorkflowRunsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflows/#get-workflow-usage
+     */
+    "GET /repos/:owner/:repo/actions/workflows/:workflow_id/timing": {
+        parameters: ActionsGetWorkflowUsageEndpoint;
+        request: ActionsGetWorkflowUsageRequestOptions;
+        response: OctokitResponse<ActionsGetWorkflowUsageResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/assignees/#list-assignees
+     */
+    "GET /repos/:owner/:repo/assignees": {
+        parameters: IssuesListAssigneesEndpoint;
+        request: IssuesListAssigneesRequestOptions;
+        response: OctokitResponse<IssuesListAssigneesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/assignees/#check-if-a-user-can-be-assigned
+     */
+    "GET /repos/:owner/:repo/assignees/:assignee": {
+        parameters: IssuesCheckUserCanBeAssignedEndpoint;
+        request: IssuesCheckUserCanBeAssignedRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#list-branches
+     */
+    "GET /repos/:owner/:repo/branches": {
+        parameters: ReposListBranchesEndpoint;
+        request: ReposListBranchesRequestOptions;
+        response: OctokitResponse<ReposListBranchesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#get-a-branch
+     */
+    "GET /repos/:owner/:repo/branches/:branch": {
+        parameters: ReposGetBranchEndpoint;
+        request: ReposGetBranchRequestOptions;
+        response: OctokitResponse<ReposGetBranchResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#get-branch-protection
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection": {
+        parameters: ReposGetBranchProtectionEndpoint;
+        request: ReposGetBranchProtectionRequestOptions;
+        response: OctokitResponse<ReposGetBranchProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#get-admin-branch-protection
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/enforce_admins": {
+        parameters: ReposGetAdminBranchProtectionEndpoint;
+        request: ReposGetAdminBranchProtectionRequestOptions;
+        response: OctokitResponse<ReposGetAdminBranchProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#get-pull-request-review-protection
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews": {
+        parameters: ReposGetPullRequestReviewProtectionEndpoint;
+        request: ReposGetPullRequestReviewProtectionRequestOptions;
+        response: OctokitResponse<ReposGetPullRequestReviewProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#get-commit-signature-protection
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/required_signatures": {
+        parameters: ReposGetCommitSignatureProtectionEndpoint;
+        request: ReposGetCommitSignatureProtectionRequestOptions;
+        response: OctokitResponse<ReposGetCommitSignatureProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#get-status-checks-protection
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/required_status_checks": {
+        parameters: ReposGetStatusChecksProtectionEndpoint;
+        request: ReposGetStatusChecksProtectionRequestOptions;
+        response: OctokitResponse<ReposGetStatusChecksProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#get-all-status-check-contexts
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts": {
+        parameters: ReposGetAllStatusCheckContextsEndpoint;
+        request: ReposGetAllStatusCheckContextsRequestOptions;
+        response: OctokitResponse<ReposGetAllStatusCheckContextsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#get-access-restrictions
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/restrictions": {
+        parameters: ReposGetAccessRestrictionsEndpoint;
+        request: ReposGetAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposGetAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#list-apps-with-access-to-the-protected-branch
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/restrictions/apps": {
+        parameters: ReposGetAppsWithAccessToProtectedBranchEndpoint;
+        request: ReposGetAppsWithAccessToProtectedBranchRequestOptions;
+        response: OctokitResponse<ReposGetAppsWithAccessToProtectedBranchResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#list-teams-with-access-to-the-protected-branch
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/restrictions/teams": {
+        parameters: ReposGetTeamsWithAccessToProtectedBranchEndpoint;
+        request: ReposGetTeamsWithAccessToProtectedBranchRequestOptions;
+        response: OctokitResponse<ReposGetTeamsWithAccessToProtectedBranchResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#list-users-with-access-to-the-protected-branch
+     */
+    "GET /repos/:owner/:repo/branches/:branch/protection/restrictions/users": {
+        parameters: ReposGetUsersWithAccessToProtectedBranchEndpoint;
+        request: ReposGetUsersWithAccessToProtectedBranchRequestOptions;
+        response: OctokitResponse<ReposGetUsersWithAccessToProtectedBranchResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#get-a-check-run
+     */
+    "GET /repos/:owner/:repo/check-runs/:check_run_id": {
+        parameters: ChecksGetEndpoint;
+        request: ChecksGetRequestOptions;
+        response: OctokitResponse<ChecksGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#list-check-run-annotations
+     */
+    "GET /repos/:owner/:repo/check-runs/:check_run_id/annotations": {
+        parameters: ChecksListAnnotationsEndpoint;
+        request: ChecksListAnnotationsRequestOptions;
+        response: OctokitResponse<ChecksListAnnotationsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/suites/#get-a-check-suite
+     */
+    "GET /repos/:owner/:repo/check-suites/:check_suite_id": {
+        parameters: ChecksGetSuiteEndpoint;
+        request: ChecksGetSuiteRequestOptions;
+        response: OctokitResponse<ChecksGetSuiteResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#list-check-runs-in-a-check-suite
+     */
+    "GET /repos/:owner/:repo/check-suites/:check_suite_id/check-runs": {
+        parameters: ChecksListForSuiteEndpoint;
+        request: ChecksListForSuiteRequestOptions;
+        response: OctokitResponse<ChecksListForSuiteResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/code-scanning/#list-code-scanning-alerts-for-a-repository
+     */
+    "GET /repos/:owner/:repo/code-scanning/alerts": {
+        parameters: CodeScanningListAlertsForRepoEndpoint;
+        request: CodeScanningListAlertsForRepoRequestOptions;
+        response: OctokitResponse<CodeScanningListAlertsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/code-scanning/#get-a-code-scanning-alert
+     */
+    "GET /repos/:owner/:repo/code-scanning/alerts/:alert_id": {
+        parameters: CodeScanningGetAlertEndpoint;
+        request: CodeScanningGetAlertRequestOptions;
+        response: OctokitResponse<CodeScanningGetAlertResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/collaborators/#list-repository-collaborators
+     */
+    "GET /repos/:owner/:repo/collaborators": {
+        parameters: ReposListCollaboratorsEndpoint;
+        request: ReposListCollaboratorsRequestOptions;
+        response: OctokitResponse<ReposListCollaboratorsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/collaborators/#check-if-a-user-is-a-repository-collaborator
+     */
+    "GET /repos/:owner/:repo/collaborators/:username": {
+        parameters: ReposCheckCollaboratorEndpoint;
+        request: ReposCheckCollaboratorRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/collaborators/#get-repository-permissions-for-a-user
+     */
+    "GET /repos/:owner/:repo/collaborators/:username/permission": {
+        parameters: ReposGetCollaboratorPermissionLevelEndpoint;
+        request: ReposGetCollaboratorPermissionLevelRequestOptions;
+        response: OctokitResponse<ReposGetCollaboratorPermissionLevelResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/comments/#list-commit-comments-for-a-repository
+     */
+    "GET /repos/:owner/:repo/comments": {
+        parameters: ReposListCommitCommentsForRepoEndpoint;
+        request: ReposListCommitCommentsForRepoRequestOptions;
+        response: OctokitResponse<ReposListCommitCommentsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/comments/#get-a-commit-comment
+     */
+    "GET /repos/:owner/:repo/comments/:comment_id": {
+        parameters: ReposGetCommitCommentEndpoint;
+        request: ReposGetCommitCommentRequestOptions;
+        response: OctokitResponse<ReposGetCommitCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-commit-comment
+     */
+    "GET /repos/:owner/:repo/comments/:comment_id/reactions": {
+        parameters: ReactionsListForCommitCommentEndpoint;
+        request: ReactionsListForCommitCommentRequestOptions;
+        response: OctokitResponse<ReactionsListForCommitCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/commits/#list-commits
+     */
+    "GET /repos/:owner/:repo/commits": {
+        parameters: ReposListCommitsEndpoint;
+        request: ReposListCommitsRequestOptions;
+        response: OctokitResponse<ReposListCommitsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/commits/#list-branches-for-head-commit
+     */
+    "GET /repos/:owner/:repo/commits/:commit_sha/branches-where-head": {
+        parameters: ReposListBranchesForHeadCommitEndpoint;
+        request: ReposListBranchesForHeadCommitRequestOptions;
+        response: OctokitResponse<ReposListBranchesForHeadCommitResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/comments/#list-commit-comments
+     */
+    "GET /repos/:owner/:repo/commits/:commit_sha/comments": {
+        parameters: ReposListCommentsForCommitEndpoint;
+        request: ReposListCommentsForCommitRequestOptions;
+        response: OctokitResponse<ReposListCommentsForCommitResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/commits/#list-pull-requests-associated-with-a-commit
+     */
+    "GET /repos/:owner/:repo/commits/:commit_sha/pulls": {
+        parameters: ReposListPullRequestsAssociatedWithCommitEndpoint;
+        request: ReposListPullRequestsAssociatedWithCommitRequestOptions;
+        response: OctokitResponse<ReposListPullRequestsAssociatedWithCommitResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/commits/#get-a-commit
+     */
+    "GET /repos/:owner/:repo/commits/:ref": {
+        parameters: ReposGetCommitEndpoint;
+        request: ReposGetCommitRequestOptions;
+        response: OctokitResponse<ReposGetCommitResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#list-check-runs-for-a-git-reference
+     */
+    "GET /repos/:owner/:repo/commits/:ref/check-runs": {
+        parameters: ChecksListForRefEndpoint;
+        request: ChecksListForRefRequestOptions;
+        response: OctokitResponse<ChecksListForRefResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/suites/#list-check-suites-for-a-git-reference
+     */
+    "GET /repos/:owner/:repo/commits/:ref/check-suites": {
+        parameters: ChecksListSuitesForRefEndpoint;
+        request: ChecksListSuitesForRefRequestOptions;
+        response: OctokitResponse<ChecksListSuitesForRefResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statuses/#get-the-combined-status-for-a-specific-reference
+     */
+    "GET /repos/:owner/:repo/commits/:ref/status": {
+        parameters: ReposGetCombinedStatusForRefEndpoint;
+        request: ReposGetCombinedStatusForRefRequestOptions;
+        response: OctokitResponse<ReposGetCombinedStatusForRefResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statuses/#list-commit-statuses-for-a-reference
+     */
+    "GET /repos/:owner/:repo/commits/:ref/statuses": {
+        parameters: ReposListCommitStatusesForRefEndpoint;
+        request: ReposListCommitStatusesForRefRequestOptions;
+        response: OctokitResponse<ReposListCommitStatusesForRefResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/codes_of_conduct/#get-the-code-of-conduct-for-a-repository
+     */
+    "GET /repos/:owner/:repo/community/code_of_conduct": {
+        parameters: CodesOfConductGetForRepoEndpoint;
+        request: CodesOfConductGetForRepoRequestOptions;
+        response: OctokitResponse<CodesOfConductGetForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/community/#get-community-profile-metrics
+     */
+    "GET /repos/:owner/:repo/community/profile": {
+        parameters: ReposGetCommunityProfileMetricsEndpoint;
+        request: ReposGetCommunityProfileMetricsRequestOptions;
+        response: OctokitResponse<ReposGetCommunityProfileMetricsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/commits/#compare-two-commits
+     */
+    "GET /repos/:owner/:repo/compare/:base...:head": {
+        parameters: ReposCompareCommitsEndpoint;
+        request: ReposCompareCommitsRequestOptions;
+        response: OctokitResponse<ReposCompareCommitsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/contents/#get-repository-content
+     */
+    "GET /repos/:owner/:repo/contents/:path": {
+        parameters: ReposGetContentEndpoint;
+        request: ReposGetContentRequestOptions;
+        response: OctokitResponse<ReposGetContentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repository-contributors
+     */
+    "GET /repos/:owner/:repo/contributors": {
+        parameters: ReposListContributorsEndpoint;
+        request: ReposListContributorsRequestOptions;
+        response: OctokitResponse<ReposListContributorsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#list-deployments
+     */
+    "GET /repos/:owner/:repo/deployments": {
+        parameters: ReposListDeploymentsEndpoint;
+        request: ReposListDeploymentsRequestOptions;
+        response: OctokitResponse<ReposListDeploymentsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#get-a-deployment
+     */
+    "GET /repos/:owner/:repo/deployments/:deployment_id": {
+        parameters: ReposGetDeploymentEndpoint;
+        request: ReposGetDeploymentRequestOptions;
+        response: OctokitResponse<ReposGetDeploymentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#list-deployment-statuses
+     */
+    "GET /repos/:owner/:repo/deployments/:deployment_id/statuses": {
+        parameters: ReposListDeploymentStatusesEndpoint;
+        request: ReposListDeploymentStatusesRequestOptions;
+        response: OctokitResponse<ReposListDeploymentStatusesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#get-a-deployment-status
+     */
+    "GET /repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id": {
+        parameters: ReposGetDeploymentStatusEndpoint;
+        request: ReposGetDeploymentStatusRequestOptions;
+        response: OctokitResponse<ReposGetDeploymentStatusResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-repository-events
+     */
+    "GET /repos/:owner/:repo/events": {
+        parameters: ActivityListRepoEventsEndpoint;
+        request: ActivityListRepoEventsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/forks/#list-forks
+     */
+    "GET /repos/:owner/:repo/forks": {
+        parameters: ReposListForksEndpoint;
+        request: ReposListForksRequestOptions;
+        response: OctokitResponse<ReposListForksResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/blobs/#get-a-blob
+     */
+    "GET /repos/:owner/:repo/git/blobs/:file_sha": {
+        parameters: GitGetBlobEndpoint;
+        request: GitGetBlobRequestOptions;
+        response: OctokitResponse<GitGetBlobResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/commits/#get-a-commit
+     */
+    "GET /repos/:owner/:repo/git/commits/:commit_sha": {
+        parameters: GitGetCommitEndpoint;
+        request: GitGetCommitRequestOptions;
+        response: OctokitResponse<GitGetCommitResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/refs/#list-matching-references
+     */
+    "GET /repos/:owner/:repo/git/matching-refs/:ref": {
+        parameters: GitListMatchingRefsEndpoint;
+        request: GitListMatchingRefsRequestOptions;
+        response: OctokitResponse<GitListMatchingRefsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/refs/#get-a-reference
+     */
+    "GET /repos/:owner/:repo/git/ref/:ref": {
+        parameters: GitGetRefEndpoint;
+        request: GitGetRefRequestOptions;
+        response: OctokitResponse<GitGetRefResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/tags/#get-a-tag
+     */
+    "GET /repos/:owner/:repo/git/tags/:tag_sha": {
+        parameters: GitGetTagEndpoint;
+        request: GitGetTagRequestOptions;
+        response: OctokitResponse<GitGetTagResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/trees/#get-a-tree
+     */
+    "GET /repos/:owner/:repo/git/trees/:tree_sha": {
+        parameters: GitGetTreeEndpoint;
+        request: GitGetTreeRequestOptions;
+        response: OctokitResponse<GitGetTreeResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/hooks/#list-repository-webhooks
+     */
+    "GET /repos/:owner/:repo/hooks": {
+        parameters: ReposListWebhooksEndpoint;
+        request: ReposListWebhooksRequestOptions;
+        response: OctokitResponse<ReposListWebhooksResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/hooks/#get-a-repository-webhook
+     */
+    "GET /repos/:owner/:repo/hooks/:hook_id": {
+        parameters: ReposGetWebhookEndpoint;
+        request: ReposGetWebhookRequestOptions;
+        response: OctokitResponse<ReposGetWebhookResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/source_imports/#get-an-import-status
+     */
+    "GET /repos/:owner/:repo/import": {
+        parameters: MigrationsGetImportStatusEndpoint;
+        request: MigrationsGetImportStatusRequestOptions;
+        response: OctokitResponse<MigrationsGetImportStatusResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/source_imports/#get-commit-authors
+     */
+    "GET /repos/:owner/:repo/import/authors": {
+        parameters: MigrationsGetCommitAuthorsEndpoint;
+        request: MigrationsGetCommitAuthorsRequestOptions;
+        response: OctokitResponse<MigrationsGetCommitAuthorsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/source_imports/#get-large-files
+     */
+    "GET /repos/:owner/:repo/import/large_files": {
+        parameters: MigrationsGetLargeFilesEndpoint;
+        request: MigrationsGetLargeFilesRequestOptions;
+        response: OctokitResponse<MigrationsGetLargeFilesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#get-a-repository-installation-for-the-authenticated-app
+     */
+    "GET /repos/:owner/:repo/installation": {
+        parameters: AppsGetRepoInstallationEndpoint;
+        request: AppsGetRepoInstallationRequestOptions;
+        response: OctokitResponse<AppsGetRepoInstallationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/interactions/repos/#get-interaction-restrictions-for-a-repository
+     */
+    "GET /repos/:owner/:repo/interaction-limits": {
+        parameters: InteractionsGetRestrictionsForRepoEndpoint;
+        request: InteractionsGetRestrictionsForRepoRequestOptions;
+        response: OctokitResponse<InteractionsGetRestrictionsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/invitations/#list-repository-invitations
+     */
+    "GET /repos/:owner/:repo/invitations": {
+        parameters: ReposListInvitationsEndpoint;
+        request: ReposListInvitationsRequestOptions;
+        response: OctokitResponse<ReposListInvitationsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#list-repository-issues
+     */
+    "GET /repos/:owner/:repo/issues": {
+        parameters: IssuesListForRepoEndpoint;
+        request: IssuesListForRepoRequestOptions;
+        response: OctokitResponse<IssuesListForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#get-an-issue
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number": {
+        parameters: IssuesGetEndpoint;
+        request: IssuesGetRequestOptions;
+        response: OctokitResponse<IssuesGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/comments/#list-issue-comments
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/comments": {
+        parameters: IssuesListCommentsEndpoint;
+        request: IssuesListCommentsRequestOptions;
+        response: OctokitResponse<IssuesListCommentsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/events/#list-issue-events
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/events": {
+        parameters: IssuesListEventsEndpoint;
+        request: IssuesListEventsRequestOptions;
+        response: OctokitResponse<IssuesListEventsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#list-labels-for-an-issue
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/labels": {
+        parameters: IssuesListLabelsOnIssueEndpoint;
+        request: IssuesListLabelsOnIssueRequestOptions;
+        response: OctokitResponse<IssuesListLabelsOnIssueResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-an-issue
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/reactions": {
+        parameters: ReactionsListForIssueEndpoint;
+        request: ReactionsListForIssueRequestOptions;
+        response: OctokitResponse<ReactionsListForIssueResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/timeline/#list-timeline-events-for-an-issue
+     */
+    "GET /repos/:owner/:repo/issues/:issue_number/timeline": {
+        parameters: IssuesListEventsForTimelineEndpoint;
+        request: IssuesListEventsForTimelineRequestOptions;
+        response: OctokitResponse<IssuesListEventsForTimelineResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/comments/#list-issue-comments-for-a-repository
+     */
+    "GET /repos/:owner/:repo/issues/comments": {
+        parameters: IssuesListCommentsForRepoEndpoint;
+        request: IssuesListCommentsForRepoRequestOptions;
+        response: OctokitResponse<IssuesListCommentsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/comments/#get-an-issue-comment
+     */
+    "GET /repos/:owner/:repo/issues/comments/:comment_id": {
+        parameters: IssuesGetCommentEndpoint;
+        request: IssuesGetCommentRequestOptions;
+        response: OctokitResponse<IssuesGetCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-an-issue-comment
+     */
+    "GET /repos/:owner/:repo/issues/comments/:comment_id/reactions": {
+        parameters: ReactionsListForIssueCommentEndpoint;
+        request: ReactionsListForIssueCommentRequestOptions;
+        response: OctokitResponse<ReactionsListForIssueCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/events/#list-issue-events-for-a-repository
+     */
+    "GET /repos/:owner/:repo/issues/events": {
+        parameters: IssuesListEventsForRepoEndpoint;
+        request: IssuesListEventsForRepoRequestOptions;
+        response: OctokitResponse<IssuesListEventsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/events/#get-an-issue-event
+     */
+    "GET /repos/:owner/:repo/issues/events/:event_id": {
+        parameters: IssuesGetEventEndpoint;
+        request: IssuesGetEventRequestOptions;
+        response: OctokitResponse<IssuesGetEventResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/keys/#list-deploy-keys
+     */
+    "GET /repos/:owner/:repo/keys": {
+        parameters: ReposListDeployKeysEndpoint;
+        request: ReposListDeployKeysRequestOptions;
+        response: OctokitResponse<ReposListDeployKeysResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/keys/#get-a-deploy-key
+     */
+    "GET /repos/:owner/:repo/keys/:key_id": {
+        parameters: ReposGetDeployKeyEndpoint;
+        request: ReposGetDeployKeyRequestOptions;
+        response: OctokitResponse<ReposGetDeployKeyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#list-labels-for-a-repository
+     */
+    "GET /repos/:owner/:repo/labels": {
+        parameters: IssuesListLabelsForRepoEndpoint;
+        request: IssuesListLabelsForRepoRequestOptions;
+        response: OctokitResponse<IssuesListLabelsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#get-a-label
+     */
+    "GET /repos/:owner/:repo/labels/:name": {
+        parameters: IssuesGetLabelEndpoint;
+        request: IssuesGetLabelRequestOptions;
+        response: OctokitResponse<IssuesGetLabelResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repository-languages
+     */
+    "GET /repos/:owner/:repo/languages": {
+        parameters: ReposListLanguagesEndpoint;
+        request: ReposListLanguagesRequestOptions;
+        response: OctokitResponse<ReposListLanguagesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/licenses/#get-the-license-for-a-repository
+     */
+    "GET /repos/:owner/:repo/license": {
+        parameters: LicensesGetForRepoEndpoint;
+        request: LicensesGetForRepoRequestOptions;
+        response: OctokitResponse<LicensesGetForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/milestones/#list-milestones
+     */
+    "GET /repos/:owner/:repo/milestones": {
+        parameters: IssuesListMilestonesEndpoint;
+        request: IssuesListMilestonesRequestOptions;
+        response: OctokitResponse<IssuesListMilestonesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/milestones/#get-a-milestone
+     */
+    "GET /repos/:owner/:repo/milestones/:milestone_number": {
+        parameters: IssuesGetMilestoneEndpoint;
+        request: IssuesGetMilestoneRequestOptions;
+        response: OctokitResponse<IssuesGetMilestoneResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#list-labels-for-issues-in-a-milestone
+     */
+    "GET /repos/:owner/:repo/milestones/:milestone_number/labels": {
+        parameters: IssuesListLabelsForMilestoneEndpoint;
+        request: IssuesListLabelsForMilestoneRequestOptions;
+        response: OctokitResponse<IssuesListLabelsForMilestoneResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#list-repository-notifications-for-the-authenticated-user
+     */
+    "GET /repos/:owner/:repo/notifications": {
+        parameters: ActivityListRepoNotificationsForAuthenticatedUserEndpoint;
+        request: ActivityListRepoNotificationsForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<ActivityListRepoNotificationsForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#get-a-github-pages-site
+     */
+    "GET /repos/:owner/:repo/pages": {
+        parameters: ReposGetPagesEndpoint;
+        request: ReposGetPagesRequestOptions;
+        response: OctokitResponse<ReposGetPagesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#list-github-pages-builds
+     */
+    "GET /repos/:owner/:repo/pages/builds": {
+        parameters: ReposListPagesBuildsEndpoint;
+        request: ReposListPagesBuildsRequestOptions;
+        response: OctokitResponse<ReposListPagesBuildsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#get-github-pages-build
+     */
+    "GET /repos/:owner/:repo/pages/builds/:build_id": {
+        parameters: ReposGetPagesBuildEndpoint;
+        request: ReposGetPagesBuildRequestOptions;
+        response: OctokitResponse<ReposGetPagesBuildResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#get-latest-pages-build
+     */
+    "GET /repos/:owner/:repo/pages/builds/latest": {
+        parameters: ReposGetLatestPagesBuildEndpoint;
+        request: ReposGetLatestPagesBuildRequestOptions;
+        response: OctokitResponse<ReposGetLatestPagesBuildResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#list-repository-projects
+     */
+    "GET /repos/:owner/:repo/projects": {
+        parameters: ProjectsListForRepoEndpoint;
+        request: ProjectsListForRepoRequestOptions;
+        response: OctokitResponse<ProjectsListForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#list-pull-requests
+     */
+    "GET /repos/:owner/:repo/pulls": {
+        parameters: PullsListEndpoint;
+        request: PullsListRequestOptions;
+        response: OctokitResponse<PullsListResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#get-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number": {
+        parameters: PullsGetEndpoint;
+        request: PullsGetRequestOptions;
+        response: OctokitResponse<PullsGetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#list-review-comments-on-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/comments": {
+        parameters: PullsListReviewCommentsEndpoint;
+        request: PullsListReviewCommentsRequestOptions;
+        response: OctokitResponse<PullsListReviewCommentsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#list-commits-on-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/commits": {
+        parameters: PullsListCommitsEndpoint;
+        request: PullsListCommitsRequestOptions;
+        response: OctokitResponse<PullsListCommitsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#list-pull-requests-files
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/files": {
+        parameters: PullsListFilesEndpoint;
+        request: PullsListFilesRequestOptions;
+        response: OctokitResponse<PullsListFilesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#check-if-a-pull-request-has-been-merged
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/merge": {
+        parameters: PullsCheckIfMergedEndpoint;
+        request: PullsCheckIfMergedRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/review_requests/#list-requested-reviewers-for-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/requested_reviewers": {
+        parameters: PullsListRequestedReviewersEndpoint;
+        request: PullsListRequestedReviewersRequestOptions;
+        response: OctokitResponse<PullsListRequestedReviewersResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#list-reviews-for-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/reviews": {
+        parameters: PullsListReviewsEndpoint;
+        request: PullsListReviewsRequestOptions;
+        response: OctokitResponse<PullsListReviewsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#get-a-review-for-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id": {
+        parameters: PullsGetReviewEndpoint;
+        request: PullsGetReviewRequestOptions;
+        response: OctokitResponse<PullsGetReviewResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#list-comments-for-a-pull-request-review
+     */
+    "GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments": {
+        parameters: PullsListCommentsForReviewEndpoint;
+        request: PullsListCommentsForReviewRequestOptions;
+        response: OctokitResponse<PullsListCommentsForReviewResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#list-review-comments-in-a-repository
+     */
+    "GET /repos/:owner/:repo/pulls/comments": {
+        parameters: PullsListReviewCommentsForRepoEndpoint;
+        request: PullsListReviewCommentsForRepoRequestOptions;
+        response: OctokitResponse<PullsListReviewCommentsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#get-a-review-comment-for-a-pull-request
+     */
+    "GET /repos/:owner/:repo/pulls/comments/:comment_id": {
+        parameters: PullsGetReviewCommentEndpoint;
+        request: PullsGetReviewCommentRequestOptions;
+        response: OctokitResponse<PullsGetReviewCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-pull-request-review-comment
+     */
+    "GET /repos/:owner/:repo/pulls/comments/:comment_id/reactions": {
+        parameters: ReactionsListForPullRequestReviewCommentEndpoint;
+        request: ReactionsListForPullRequestReviewCommentRequestOptions;
+        response: OctokitResponse<ReactionsListForPullRequestReviewCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/contents/#get-a-repository-readme
+     */
+    "GET /repos/:owner/:repo/readme": {
+        parameters: ReposGetReadmeEndpoint;
+        request: ReposGetReadmeRequestOptions;
+        response: OctokitResponse<ReposGetReadmeResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#list-releases
+     */
+    "GET /repos/:owner/:repo/releases": {
+        parameters: ReposListReleasesEndpoint;
+        request: ReposListReleasesRequestOptions;
+        response: OctokitResponse<ReposListReleasesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#get-a-release
+     */
+    "GET /repos/:owner/:repo/releases/:release_id": {
+        parameters: ReposGetReleaseEndpoint;
+        request: ReposGetReleaseRequestOptions;
+        response: OctokitResponse<ReposGetReleaseResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#list-release-assets
+     */
+    "GET /repos/:owner/:repo/releases/:release_id/assets": {
+        parameters: ReposListReleaseAssetsEndpoint;
+        request: ReposListReleaseAssetsRequestOptions;
+        response: OctokitResponse<ReposListReleaseAssetsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#get-a-release-asset
+     */
+    "GET /repos/:owner/:repo/releases/assets/:asset_id": {
+        parameters: ReposGetReleaseAssetEndpoint;
+        request: ReposGetReleaseAssetRequestOptions;
+        response: OctokitResponse<ReposGetReleaseAssetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#get-the-latest-release
+     */
+    "GET /repos/:owner/:repo/releases/latest": {
+        parameters: ReposGetLatestReleaseEndpoint;
+        request: ReposGetLatestReleaseRequestOptions;
+        response: OctokitResponse<ReposGetLatestReleaseResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#get-a-release-by-tag-name
+     */
+    "GET /repos/:owner/:repo/releases/tags/:tag": {
+        parameters: ReposGetReleaseByTagEndpoint;
+        request: ReposGetReleaseByTagRequestOptions;
+        response: OctokitResponse<ReposGetReleaseByTagResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#list-stargazers
+     */
+    "GET /repos/:owner/:repo/stargazers": {
+        parameters: ActivityListStargazersForRepoEndpoint;
+        request: ActivityListStargazersForRepoRequestOptions;
+        response: OctokitResponse<ActivityListStargazersForRepoResponseData | ActivityListStargazersForRepoResponse200Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statistics/#get-the-weekly-commit-activity
+     */
+    "GET /repos/:owner/:repo/stats/code_frequency": {
+        parameters: ReposGetCodeFrequencyStatsEndpoint;
+        request: ReposGetCodeFrequencyStatsRequestOptions;
+        response: OctokitResponse<ReposGetCodeFrequencyStatsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statistics/#get-the-last-year-of-commit-activity
+     */
+    "GET /repos/:owner/:repo/stats/commit_activity": {
+        parameters: ReposGetCommitActivityStatsEndpoint;
+        request: ReposGetCommitActivityStatsRequestOptions;
+        response: OctokitResponse<ReposGetCommitActivityStatsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statistics/#get-all-contributor-commit-activity
+     */
+    "GET /repos/:owner/:repo/stats/contributors": {
+        parameters: ReposGetContributorsStatsEndpoint;
+        request: ReposGetContributorsStatsRequestOptions;
+        response: OctokitResponse<ReposGetContributorsStatsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statistics/#get-the-weekly-commit-count
+     */
+    "GET /repos/:owner/:repo/stats/participation": {
+        parameters: ReposGetParticipationStatsEndpoint;
+        request: ReposGetParticipationStatsRequestOptions;
+        response: OctokitResponse<ReposGetParticipationStatsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statistics/#get-the-hourly-commit-count-for-each-day
+     */
+    "GET /repos/:owner/:repo/stats/punch_card": {
+        parameters: ReposGetPunchCardStatsEndpoint;
+        request: ReposGetPunchCardStatsRequestOptions;
+        response: OctokitResponse<ReposGetPunchCardStatsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#list-watchers
+     */
+    "GET /repos/:owner/:repo/subscribers": {
+        parameters: ActivityListWatchersForRepoEndpoint;
+        request: ActivityListWatchersForRepoRequestOptions;
+        response: OctokitResponse<ActivityListWatchersForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#get-a-repository-subscription
+     */
+    "GET /repos/:owner/:repo/subscription": {
+        parameters: ActivityGetRepoSubscriptionEndpoint;
+        request: ActivityGetRepoSubscriptionRequestOptions;
+        response: OctokitResponse<ActivityGetRepoSubscriptionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repository-tags
+     */
+    "GET /repos/:owner/:repo/tags": {
+        parameters: ReposListTagsEndpoint;
+        request: ReposListTagsRequestOptions;
+        response: OctokitResponse<ReposListTagsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repository-teams
+     */
+    "GET /repos/:owner/:repo/teams": {
+        parameters: ReposListTeamsEndpoint;
+        request: ReposListTeamsRequestOptions;
+        response: OctokitResponse<ReposListTeamsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#get-all-repository-topics
+     */
+    "GET /repos/:owner/:repo/topics": {
+        parameters: ReposGetAllTopicsEndpoint;
+        request: ReposGetAllTopicsRequestOptions;
+        response: OctokitResponse<ReposGetAllTopicsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/traffic/#get-repository-clones
+     */
+    "GET /repos/:owner/:repo/traffic/clones": {
+        parameters: ReposGetClonesEndpoint;
+        request: ReposGetClonesRequestOptions;
+        response: OctokitResponse<ReposGetClonesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/traffic/#get-top-referral-paths
+     */
+    "GET /repos/:owner/:repo/traffic/popular/paths": {
+        parameters: ReposGetTopPathsEndpoint;
+        request: ReposGetTopPathsRequestOptions;
+        response: OctokitResponse<ReposGetTopPathsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/traffic/#get-top-referral-sources
+     */
+    "GET /repos/:owner/:repo/traffic/popular/referrers": {
+        parameters: ReposGetTopReferrersEndpoint;
+        request: ReposGetTopReferrersRequestOptions;
+        response: OctokitResponse<ReposGetTopReferrersResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/traffic/#get-page-views
+     */
+    "GET /repos/:owner/:repo/traffic/views": {
+        parameters: ReposGetViewsEndpoint;
+        request: ReposGetViewsRequestOptions;
+        response: OctokitResponse<ReposGetViewsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#check-if-vulnerability-alerts-are-enabled-for-a-repository
+     */
+    "GET /repos/:owner/:repo/vulnerability-alerts": {
+        parameters: ReposCheckVulnerabilityAlertsEndpoint;
+        request: ReposCheckVulnerabilityAlertsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-public-repositories
+     */
+    "GET /repositories": {
+        parameters: ReposListPublicEndpoint;
+        request: ReposListPublicRequestOptions;
+        response: OctokitResponse<ReposListPublicResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#list-provisioned-scim groups-for-an-enterprise
+     */
+    "GET /scim/v2/enterprises/:enterprise/Groups": {
+        parameters: EnterpriseAdminListProvisionedGroupsEnterpriseEndpoint;
+        request: EnterpriseAdminListProvisionedGroupsEnterpriseRequestOptions;
+        response: OctokitResponse<EnterpriseAdminListProvisionedGroupsEnterpriseResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#get-scim-provisioning-information-for-an-enterprise group
+     */
+    "GET /scim/v2/enterprises/:enterprise/Groups/:scim_group_id": {
+        parameters: EnterpriseAdminGetProvisioningInformationForEnterpriseGroupEndpoint;
+        request: EnterpriseAdminGetProvisioningInformationForEnterpriseGroupRequestOptions;
+        response: OctokitResponse<EnterpriseAdminGetProvisioningInformationForEnterpriseGroupResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#list-scim-provisioned-identities-for-an-enterprise
+     */
+    "GET /scim/v2/enterprises/:enterprise/Users": {
+        parameters: EnterpriseAdminListProvisionedIdentitiesEnterpriseEndpoint;
+        request: EnterpriseAdminListProvisionedIdentitiesEnterpriseRequestOptions;
+        response: OctokitResponse<EnterpriseAdminListProvisionedIdentitiesEnterpriseResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#get-scim-provisioning-information-for-an-enterprise-user
+     */
+    "GET /scim/v2/enterprises/:enterprise/Users/:scim_user_id": {
+        parameters: EnterpriseAdminGetProvisioningInformationForEnterpriseUserEndpoint;
+        request: EnterpriseAdminGetProvisioningInformationForEnterpriseUserRequestOptions;
+        response: OctokitResponse<EnterpriseAdminGetProvisioningInformationForEnterpriseUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/scim/#list-scim-provisioned-identities
+     */
+    "GET /scim/v2/organizations/:org/Users": {
+        parameters: ScimListProvisionedIdentitiesEndpoint;
+        request: ScimListProvisionedIdentitiesRequestOptions;
+        response: OctokitResponse<ScimListProvisionedIdentitiesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/scim/#get-scim-provisioning-information-for-a-user
+     */
+    "GET /scim/v2/organizations/:org/Users/:scim_user_id": {
+        parameters: ScimGetProvisioningInformationForUserEndpoint;
+        request: ScimGetProvisioningInformationForUserRequestOptions;
+        response: OctokitResponse<ScimGetProvisioningInformationForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-code
+     */
+    "GET /search/code": {
+        parameters: SearchCodeEndpoint;
+        request: SearchCodeRequestOptions;
+        response: OctokitResponse<SearchCodeResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-commits
+     */
+    "GET /search/commits": {
+        parameters: SearchCommitsEndpoint;
+        request: SearchCommitsRequestOptions;
+        response: OctokitResponse<SearchCommitsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-issues-and-pull-requests
+     */
+    "GET /search/issues": {
+        parameters: SearchIssuesAndPullRequestsEndpoint;
+        request: SearchIssuesAndPullRequestsRequestOptions;
+        response: OctokitResponse<SearchIssuesAndPullRequestsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-labels
+     */
+    "GET /search/labels": {
+        parameters: SearchLabelsEndpoint;
+        request: SearchLabelsRequestOptions;
+        response: OctokitResponse<SearchLabelsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-repositories
+     */
+    "GET /search/repositories": {
+        parameters: SearchReposEndpoint;
+        request: SearchReposRequestOptions;
+        response: OctokitResponse<SearchReposResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-topics
+     */
+    "GET /search/topics": {
+        parameters: SearchTopicsEndpoint;
+        request: SearchTopicsRequestOptions;
+        response: OctokitResponse<SearchTopicsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/search/#search-users
+     */
+    "GET /search/users": {
+        parameters: SearchUsersEndpoint;
+        request: SearchUsersRequestOptions;
+        response: OctokitResponse<SearchUsersResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#get-a-team-legacy
+     */
+    "GET /teams/:team_id": {
+        parameters: TeamsGetLegacyEndpoint;
+        request: TeamsGetLegacyRequestOptions;
+        response: OctokitResponse<TeamsGetLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#list-discussions-legacy
+     */
+    "GET /teams/:team_id/discussions": {
+        parameters: TeamsListDiscussionsLegacyEndpoint;
+        request: TeamsListDiscussionsLegacyRequestOptions;
+        response: OctokitResponse<TeamsListDiscussionsLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#get-a-discussion-legacy
+     */
+    "GET /teams/:team_id/discussions/:discussion_number": {
+        parameters: TeamsGetDiscussionLegacyEndpoint;
+        request: TeamsGetDiscussionLegacyRequestOptions;
+        response: OctokitResponse<TeamsGetDiscussionLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#list-discussion-comments-legacy
+     */
+    "GET /teams/:team_id/discussions/:discussion_number/comments": {
+        parameters: TeamsListDiscussionCommentsLegacyEndpoint;
+        request: TeamsListDiscussionCommentsLegacyRequestOptions;
+        response: OctokitResponse<TeamsListDiscussionCommentsLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#get-a-discussion-comment-legacy
+     */
+    "GET /teams/:team_id/discussions/:discussion_number/comments/:comment_number": {
+        parameters: TeamsGetDiscussionCommentLegacyEndpoint;
+        request: TeamsGetDiscussionCommentLegacyRequestOptions;
+        response: OctokitResponse<TeamsGetDiscussionCommentLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-comment-legacy
+     */
+    "GET /teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions": {
+        parameters: ReactionsListForTeamDiscussionCommentLegacyEndpoint;
+        request: ReactionsListForTeamDiscussionCommentLegacyRequestOptions;
+        response: OctokitResponse<ReactionsListForTeamDiscussionCommentLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#list-reactions-for-a-team-discussion-legacy
+     */
+    "GET /teams/:team_id/discussions/:discussion_number/reactions": {
+        parameters: ReactionsListForTeamDiscussionLegacyEndpoint;
+        request: ReactionsListForTeamDiscussionLegacyRequestOptions;
+        response: OctokitResponse<ReactionsListForTeamDiscussionLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#list-pending-team-invitations-legacy
+     */
+    "GET /teams/:team_id/invitations": {
+        parameters: TeamsListPendingInvitationsLegacyEndpoint;
+        request: TeamsListPendingInvitationsLegacyRequestOptions;
+        response: OctokitResponse<TeamsListPendingInvitationsLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#list-team-members-legacy
+     */
+    "GET /teams/:team_id/members": {
+        parameters: TeamsListMembersLegacyEndpoint;
+        request: TeamsListMembersLegacyRequestOptions;
+        response: OctokitResponse<TeamsListMembersLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#get-team-member-legacy
+     */
+    "GET /teams/:team_id/members/:username": {
+        parameters: TeamsGetMemberLegacyEndpoint;
+        request: TeamsGetMemberLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#get-team-membership-for-a-user-legacy
+     */
+    "GET /teams/:team_id/memberships/:username": {
+        parameters: TeamsGetMembershipForUserLegacyEndpoint;
+        request: TeamsGetMembershipForUserLegacyRequestOptions;
+        response: OctokitResponse<TeamsGetMembershipForUserLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-team-projects-legacy
+     */
+    "GET /teams/:team_id/projects": {
+        parameters: TeamsListProjectsLegacyEndpoint;
+        request: TeamsListProjectsLegacyRequestOptions;
+        response: OctokitResponse<TeamsListProjectsLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#check-team-permissions-for-a-project-legacy
+     */
+    "GET /teams/:team_id/projects/:project_id": {
+        parameters: TeamsCheckPermissionsForProjectLegacyEndpoint;
+        request: TeamsCheckPermissionsForProjectLegacyRequestOptions;
+        response: OctokitResponse<TeamsCheckPermissionsForProjectLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-team-repositories-legacy
+     */
+    "GET /teams/:team_id/repos": {
+        parameters: TeamsListReposLegacyEndpoint;
+        request: TeamsListReposLegacyRequestOptions;
+        response: OctokitResponse<TeamsListReposLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#check-team-permissions-for-a-repository-legacy
+     */
+    "GET /teams/:team_id/repos/:owner/:repo": {
+        parameters: TeamsCheckPermissionsForRepoLegacyEndpoint;
+        request: TeamsCheckPermissionsForRepoLegacyRequestOptions;
+        response: OctokitResponse<TeamsCheckPermissionsForRepoLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/team_sync/#list-idp-groups-for-a-team-legacy
+     */
+    "GET /teams/:team_id/team-sync/group-mappings": {
+        parameters: TeamsListIdPGroupsForLegacyEndpoint;
+        request: TeamsListIdPGroupsForLegacyRequestOptions;
+        response: OctokitResponse<TeamsListIdPGroupsForLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-child-teams-legacy
+     */
+    "GET /teams/:team_id/teams": {
+        parameters: TeamsListChildLegacyEndpoint;
+        request: TeamsListChildLegacyRequestOptions;
+        response: OctokitResponse<TeamsListChildLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/#get-the-authenticated-user
+     */
+    "GET /user": {
+        parameters: UsersGetAuthenticatedEndpoint;
+        request: UsersGetAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersGetAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/blocking/#list-users-blocked-by-the-authenticated-user
+     */
+    "GET /user/blocks": {
+        parameters: UsersListBlockedByAuthenticatedEndpoint;
+        request: UsersListBlockedByAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersListBlockedByAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/blocking/#check-if-a-user-is-blocked-by-the-authenticated-user
+     */
+    "GET /user/blocks/:username": {
+        parameters: UsersCheckBlockedEndpoint;
+        request: UsersCheckBlockedRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/emails/#list-email-addresses-for-the-authenticated-user
+     */
+    "GET /user/emails": {
+        parameters: UsersListEmailsForAuthenticatedEndpoint;
+        request: UsersListEmailsForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersListEmailsForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#list-followers-of-the-authenticated-user
+     */
+    "GET /user/followers": {
+        parameters: UsersListFollowersForAuthenticatedUserEndpoint;
+        request: UsersListFollowersForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<UsersListFollowersForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#list-the-people-the-authenticated-user-follows
+     */
+    "GET /user/following": {
+        parameters: UsersListFollowedByAuthenticatedEndpoint;
+        request: UsersListFollowedByAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersListFollowedByAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#check-if-a-person-is-followed-by-the-authenticated-user
+     */
+    "GET /user/following/:username": {
+        parameters: UsersCheckPersonIsFollowedByAuthenticatedEndpoint;
+        request: UsersCheckPersonIsFollowedByAuthenticatedRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/gpg_keys/#list-gpg-keys-for-the-authenticated-user
+     */
+    "GET /user/gpg_keys": {
+        parameters: UsersListGpgKeysForAuthenticatedEndpoint;
+        request: UsersListGpgKeysForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersListGpgKeysForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/gpg_keys/#get-a-gpg-key-for-the-authenticated-user
+     */
+    "GET /user/gpg_keys/:gpg_key_id": {
+        parameters: UsersGetGpgKeyForAuthenticatedEndpoint;
+        request: UsersGetGpgKeyForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersGetGpgKeyForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#list-app-installations-accessible-to-the-user-access-token
+     */
+    "GET /user/installations": {
+        parameters: AppsListInstallationsForAuthenticatedUserEndpoint;
+        request: AppsListInstallationsForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<AppsListInstallationsForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#list-repositories-accessible-to-the-user-access-token
+     */
+    "GET /user/installations/:installation_id/repositories": {
+        parameters: AppsListInstallationReposForAuthenticatedUserEndpoint;
+        request: AppsListInstallationReposForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<AppsListInstallationReposForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#list-user-account-issues-assigned-to-the-authenticated-user
+     */
+    "GET /user/issues": {
+        parameters: IssuesListForAuthenticatedUserEndpoint;
+        request: IssuesListForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<IssuesListForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/keys/#list-public-ssh-keys-for-the-authenticated-user
+     */
+    "GET /user/keys": {
+        parameters: UsersListPublicSshKeysForAuthenticatedEndpoint;
+        request: UsersListPublicSshKeysForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersListPublicSshKeysForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/keys/#get-a-public-ssh-key-for-the-authenticated-user
+     */
+    "GET /user/keys/:key_id": {
+        parameters: UsersGetPublicSshKeyForAuthenticatedEndpoint;
+        request: UsersGetPublicSshKeyForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersGetPublicSshKeyForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-subscriptions-for-the-authenticated-user
+     */
+    "GET /user/marketplace_purchases": {
+        parameters: AppsListSubscriptionsForAuthenticatedUserEndpoint;
+        request: AppsListSubscriptionsForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<AppsListSubscriptionsForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/marketplace/#list-subscriptions-for-the-authenticated-user-stubbed
+     */
+    "GET /user/marketplace_purchases/stubbed": {
+        parameters: AppsListSubscriptionsForAuthenticatedUserStubbedEndpoint;
+        request: AppsListSubscriptionsForAuthenticatedUserStubbedRequestOptions;
+        response: OctokitResponse<AppsListSubscriptionsForAuthenticatedUserStubbedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#list-organization-memberships-for-the-authenticated-user
+     */
+    "GET /user/memberships/orgs": {
+        parameters: OrgsListMembershipsForAuthenticatedUserEndpoint;
+        request: OrgsListMembershipsForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<OrgsListMembershipsForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#get-an-organization-membership-for-the-authenticated-user
+     */
+    "GET /user/memberships/orgs/:org": {
+        parameters: OrgsGetMembershipForAuthenticatedUserEndpoint;
+        request: OrgsGetMembershipForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<OrgsGetMembershipForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#list-user-migrations
+     */
+    "GET /user/migrations": {
+        parameters: MigrationsListForAuthenticatedUserEndpoint;
+        request: MigrationsListForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<MigrationsListForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#get-a-user-migration-status
+     */
+    "GET /user/migrations/:migration_id": {
+        parameters: MigrationsGetStatusForAuthenticatedUserEndpoint;
+        request: MigrationsGetStatusForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<MigrationsGetStatusForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#download-a-user-migration-archive
+     */
+    "GET /user/migrations/:migration_id/archive": {
+        parameters: MigrationsGetArchiveForAuthenticatedUserEndpoint;
+        request: MigrationsGetArchiveForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#list-repositories-for-a-user-migration
+     */
+    "GET /user/migrations/:migration_id/repositories": {
+        parameters: MigrationsListReposForUserEndpoint;
+        request: MigrationsListReposForUserRequestOptions;
+        response: OctokitResponse<MigrationsListReposForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-organizations-for-the-authenticated-user
+     */
+    "GET /user/orgs": {
+        parameters: OrgsListForAuthenticatedUserEndpoint;
+        request: OrgsListForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<OrgsListForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/emails/#list-public-email-addresses-for-the-authenticated-user
+     */
+    "GET /user/public_emails": {
+        parameters: UsersListPublicEmailsForAuthenticatedEndpoint;
+        request: UsersListPublicEmailsForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersListPublicEmailsForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repositories-for-the-authenticated-user
+     */
+    "GET /user/repos": {
+        parameters: ReposListForAuthenticatedUserEndpoint;
+        request: ReposListForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/invitations/#list-repository-invitations-for-the-authenticated-user
+     */
+    "GET /user/repository_invitations": {
+        parameters: ReposListInvitationsForAuthenticatedUserEndpoint;
+        request: ReposListInvitationsForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<ReposListInvitationsForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#list-repositories-starred-by-the-authenticated-user
+     */
+    "GET /user/starred": {
+        parameters: ActivityListReposStarredByAuthenticatedUserEndpoint;
+        request: ActivityListReposStarredByAuthenticatedUserRequestOptions;
+        response: OctokitResponse<ActivityListReposStarredByAuthenticatedUserResponseData | ActivityListReposStarredByAuthenticatedUserResponse200Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#check-if-a-repository-is-starred-by-the-authenticated-user
+     */
+    "GET /user/starred/:owner/:repo": {
+        parameters: ActivityCheckRepoIsStarredByAuthenticatedUserEndpoint;
+        request: ActivityCheckRepoIsStarredByAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#list-repositories-watched-by-the-authenticated-user
+     */
+    "GET /user/subscriptions": {
+        parameters: ActivityListWatchedReposForAuthenticatedUserEndpoint;
+        request: ActivityListWatchedReposForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<ActivityListWatchedReposForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#list-teams-for-the-authenticated-user
+     */
+    "GET /user/teams": {
+        parameters: TeamsListForAuthenticatedUserEndpoint;
+        request: TeamsListForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<TeamsListForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/#list-users
+     */
+    "GET /users": {
+        parameters: UsersListEndpoint;
+        request: UsersListRequestOptions;
+        response: OctokitResponse<UsersListResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/#get-a-user
+     */
+    "GET /users/:username": {
+        parameters: UsersGetByUsernameEndpoint;
+        request: UsersGetByUsernameRequestOptions;
+        response: OctokitResponse<UsersGetByUsernameResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-events-for-the-authenticated-user
+     */
+    "GET /users/:username/events": {
+        parameters: ActivityListEventsForAuthenticatedUserEndpoint;
+        request: ActivityListEventsForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-organization-events-for-the-authenticated-user
+     */
+    "GET /users/:username/events/orgs/:org": {
+        parameters: ActivityListOrgEventsForAuthenticatedUserEndpoint;
+        request: ActivityListOrgEventsForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-public-events-for-a-user
+     */
+    "GET /users/:username/events/public": {
+        parameters: ActivityListPublicEventsForUserEndpoint;
+        request: ActivityListPublicEventsForUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#list-followers-of-a-user
+     */
+    "GET /users/:username/followers": {
+        parameters: UsersListFollowersForUserEndpoint;
+        request: UsersListFollowersForUserRequestOptions;
+        response: OctokitResponse<UsersListFollowersForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#list-the-people-a-user-follows
+     */
+    "GET /users/:username/following": {
+        parameters: UsersListFollowingForUserEndpoint;
+        request: UsersListFollowingForUserRequestOptions;
+        response: OctokitResponse<UsersListFollowingForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#check-if-a-user-follows-another-user
+     */
+    "GET /users/:username/following/:target_user": {
+        parameters: UsersCheckFollowingForUserEndpoint;
+        request: UsersCheckFollowingForUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#list-gists-for-a-user
+     */
+    "GET /users/:username/gists": {
+        parameters: GistsListForUserEndpoint;
+        request: GistsListForUserRequestOptions;
+        response: OctokitResponse<GistsListForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/gpg_keys/#list-gpg-keys-for-a-user
+     */
+    "GET /users/:username/gpg_keys": {
+        parameters: UsersListGpgKeysForUserEndpoint;
+        request: UsersListGpgKeysForUserRequestOptions;
+        response: OctokitResponse<UsersListGpgKeysForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/#get-contextual-information-for-a-user
+     */
+    "GET /users/:username/hovercard": {
+        parameters: UsersGetContextForUserEndpoint;
+        request: UsersGetContextForUserRequestOptions;
+        response: OctokitResponse<UsersGetContextForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#get-a-user-installation-for-the-authenticated-app
+     */
+    "GET /users/:username/installation": {
+        parameters: AppsGetUserInstallationEndpoint;
+        request: AppsGetUserInstallationRequestOptions;
+        response: OctokitResponse<AppsGetUserInstallationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/keys/#list-public-keys-for-a-user
+     */
+    "GET /users/:username/keys": {
+        parameters: UsersListPublicKeysForUserEndpoint;
+        request: UsersListPublicKeysForUserRequestOptions;
+        response: OctokitResponse<UsersListPublicKeysForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#list-organizations-for-a-user
+     */
+    "GET /users/:username/orgs": {
+        parameters: OrgsListForUserEndpoint;
+        request: OrgsListForUserRequestOptions;
+        response: OctokitResponse<OrgsListForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#list-user-projects
+     */
+    "GET /users/:username/projects": {
+        parameters: ProjectsListForUserEndpoint;
+        request: ProjectsListForUserRequestOptions;
+        response: OctokitResponse<ProjectsListForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-events-received-by-the-authenticated-user
+     */
+    "GET /users/:username/received_events": {
+        parameters: ActivityListReceivedEventsForUserEndpoint;
+        request: ActivityListReceivedEventsForUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/events/#list-public-events-received-by-a-user
+     */
+    "GET /users/:username/received_events/public": {
+        parameters: ActivityListReceivedPublicEventsForUserEndpoint;
+        request: ActivityListReceivedPublicEventsForUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#list-repositories-for-a-user
+     */
+    "GET /users/:username/repos": {
+        parameters: ReposListForUserEndpoint;
+        request: ReposListForUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-github-actions-billing-for-a-user
+     */
+    "GET /users/:username/settings/billing/actions": {
+        parameters: BillingGetGithubActionsBillingUserEndpoint;
+        request: BillingGetGithubActionsBillingUserRequestOptions;
+        response: OctokitResponse<BillingGetGithubActionsBillingUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-github-packages-billing-for-a-user
+     */
+    "GET /users/:username/settings/billing/packages": {
+        parameters: BillingGetGithubPackagesBillingUserEndpoint;
+        request: BillingGetGithubPackagesBillingUserRequestOptions;
+        response: OctokitResponse<BillingGetGithubPackagesBillingUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/billing/#get-shared-storage-billing-for-a-user
+     */
+    "GET /users/:username/settings/billing/shared-storage": {
+        parameters: BillingGetSharedStorageBillingUserEndpoint;
+        request: BillingGetSharedStorageBillingUserRequestOptions;
+        response: OctokitResponse<BillingGetSharedStorageBillingUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#list-repositories-starred-by-a-user
+     */
+    "GET /users/:username/starred": {
+        parameters: ActivityListReposStarredByUserEndpoint;
+        request: ActivityListReposStarredByUserRequestOptions;
+        response: OctokitResponse<ActivityListReposStarredByUserResponseData | ActivityListReposStarredByUserResponse200Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#list-repositories-watched-by-a-user
+     */
+    "GET /users/:username/subscriptions": {
+        parameters: ActivityListReposWatchedByUserEndpoint;
+        request: ActivityListReposWatchedByUserRequestOptions;
+        response: OctokitResponse<ActivityListReposWatchedByUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/oauth_applications/#reset-a-token
+     */
+    "PATCH /applications/:client_id/token": {
+        parameters: AppsResetTokenEndpoint;
+        request: AppsResetTokenRequestOptions;
+        response: OctokitResponse<AppsResetTokenResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#update-an-existing-authorization
+     */
+    "PATCH /authorizations/:authorization_id": {
+        parameters: OauthAuthorizationsUpdateAuthorizationEndpoint;
+        request: OauthAuthorizationsUpdateAuthorizationRequestOptions;
+        response: OctokitResponse<OauthAuthorizationsUpdateAuthorizationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#update-a-gist
+     */
+    "PATCH /gists/:gist_id": {
+        parameters: GistsUpdateEndpoint;
+        request: GistsUpdateRequestOptions;
+        response: OctokitResponse<GistsUpdateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/comments/#update-a-gist-comment
+     */
+    "PATCH /gists/:gist_id/comments/:comment_id": {
+        parameters: GistsUpdateCommentEndpoint;
+        request: GistsUpdateCommentRequestOptions;
+        response: OctokitResponse<GistsUpdateCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#mark-a-thread-as-read
+     */
+    "PATCH /notifications/threads/:thread_id": {
+        parameters: ActivityMarkThreadAsReadEndpoint;
+        request: ActivityMarkThreadAsReadRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/#update-an-organization
+     */
+    "PATCH /orgs/:org": {
+        parameters: OrgsUpdateEndpoint;
+        request: OrgsUpdateRequestOptions;
+        response: OctokitResponse<OrgsUpdateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/hooks/#update-an-organization-webhook
+     */
+    "PATCH /orgs/:org/hooks/:hook_id": {
+        parameters: OrgsUpdateWebhookEndpoint;
+        request: OrgsUpdateWebhookRequestOptions;
+        response: OctokitResponse<OrgsUpdateWebhookResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#update-a-team
+     */
+    "PATCH /orgs/:org/teams/:team_slug": {
+        parameters: TeamsUpdateInOrgEndpoint;
+        request: TeamsUpdateInOrgRequestOptions;
+        response: OctokitResponse<TeamsUpdateInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#update-a-discussion
+     */
+    "PATCH /orgs/:org/teams/:team_slug/discussions/:discussion_number": {
+        parameters: TeamsUpdateDiscussionInOrgEndpoint;
+        request: TeamsUpdateDiscussionInOrgRequestOptions;
+        response: OctokitResponse<TeamsUpdateDiscussionInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#update-a-discussion-comment
+     */
+    "PATCH /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number": {
+        parameters: TeamsUpdateDiscussionCommentInOrgEndpoint;
+        request: TeamsUpdateDiscussionCommentInOrgRequestOptions;
+        response: OctokitResponse<TeamsUpdateDiscussionCommentInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/team_sync/#create-or-update-idp-group-connections
+     */
+    "PATCH /orgs/:org/teams/:team_slug/team-sync/group-mappings": {
+        parameters: TeamsCreateOrUpdateIdPGroupConnectionsInOrgEndpoint;
+        request: TeamsCreateOrUpdateIdPGroupConnectionsInOrgRequestOptions;
+        response: OctokitResponse<TeamsCreateOrUpdateIdPGroupConnectionsInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#update-a-project
+     */
+    "PATCH /projects/:project_id": {
+        parameters: ProjectsUpdateEndpoint;
+        request: ProjectsUpdateRequestOptions;
+        response: OctokitResponse<ProjectsUpdateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/columns/#update-a-project-column
+     */
+    "PATCH /projects/columns/:column_id": {
+        parameters: ProjectsUpdateColumnEndpoint;
+        request: ProjectsUpdateColumnRequestOptions;
+        response: OctokitResponse<ProjectsUpdateColumnResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/cards/#update-a-project-card
+     */
+    "PATCH /projects/columns/cards/:card_id": {
+        parameters: ProjectsUpdateCardEndpoint;
+        request: ProjectsUpdateCardRequestOptions;
+        response: OctokitResponse<ProjectsUpdateCardResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#update-a-repository
+     */
+    "PATCH /repos/:owner/:repo": {
+        parameters: ReposUpdateEndpoint;
+        request: ReposUpdateRequestOptions;
+        response: OctokitResponse<ReposUpdateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#update-pull-request-review-protection
+     */
+    "PATCH /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews": {
+        parameters: ReposUpdatePullRequestReviewProtectionEndpoint;
+        request: ReposUpdatePullRequestReviewProtectionRequestOptions;
+        response: OctokitResponse<ReposUpdatePullRequestReviewProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#update-status-check-potection
+     */
+    "PATCH /repos/:owner/:repo/branches/:branch/protection/required_status_checks": {
+        parameters: ReposUpdateStatusCheckPotectionEndpoint;
+        request: ReposUpdateStatusCheckPotectionRequestOptions;
+        response: OctokitResponse<ReposUpdateStatusCheckPotectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#update-a-check-run
+     */
+    "PATCH /repos/:owner/:repo/check-runs/:check_run_id": {
+        parameters: ChecksUpdateEndpoint;
+        request: ChecksUpdateRequestOptions;
+        response: OctokitResponse<ChecksUpdateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/suites/#update-repository-preferences-for-check-suites
+     */
+    "PATCH /repos/:owner/:repo/check-suites/preferences": {
+        parameters: ChecksSetSuitesPreferencesEndpoint;
+        request: ChecksSetSuitesPreferencesRequestOptions;
+        response: OctokitResponse<ChecksSetSuitesPreferencesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/comments/#update-a-commit-comment
+     */
+    "PATCH /repos/:owner/:repo/comments/:comment_id": {
+        parameters: ReposUpdateCommitCommentEndpoint;
+        request: ReposUpdateCommitCommentRequestOptions;
+        response: OctokitResponse<ReposUpdateCommitCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/refs/#update-a-reference
+     */
+    "PATCH /repos/:owner/:repo/git/refs/:ref": {
+        parameters: GitUpdateRefEndpoint;
+        request: GitUpdateRefRequestOptions;
+        response: OctokitResponse<GitUpdateRefResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/hooks/#update-a-repository-webhook
+     */
+    "PATCH /repos/:owner/:repo/hooks/:hook_id": {
+        parameters: ReposUpdateWebhookEndpoint;
+        request: ReposUpdateWebhookRequestOptions;
+        response: OctokitResponse<ReposUpdateWebhookResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/source_imports/#update-an-import
+     */
+    "PATCH /repos/:owner/:repo/import": {
+        parameters: MigrationsUpdateImportEndpoint;
+        request: MigrationsUpdateImportRequestOptions;
+        response: OctokitResponse<MigrationsUpdateImportResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/source_imports/#map-a-commit-author
+     */
+    "PATCH /repos/:owner/:repo/import/authors/:author_id": {
+        parameters: MigrationsMapCommitAuthorEndpoint;
+        request: MigrationsMapCommitAuthorRequestOptions;
+        response: OctokitResponse<MigrationsMapCommitAuthorResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/source_imports/#update-git-lfs-preference
+     */
+    "PATCH /repos/:owner/:repo/import/lfs": {
+        parameters: MigrationsSetLfsPreferenceEndpoint;
+        request: MigrationsSetLfsPreferenceRequestOptions;
+        response: OctokitResponse<MigrationsSetLfsPreferenceResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/invitations/#update-a-repository-invitation
+     */
+    "PATCH /repos/:owner/:repo/invitations/:invitation_id": {
+        parameters: ReposUpdateInvitationEndpoint;
+        request: ReposUpdateInvitationRequestOptions;
+        response: OctokitResponse<ReposUpdateInvitationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#update-an-issue
+     */
+    "PATCH /repos/:owner/:repo/issues/:issue_number": {
+        parameters: IssuesUpdateEndpoint;
+        request: IssuesUpdateRequestOptions;
+        response: OctokitResponse<IssuesUpdateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/comments/#update-an-issue-comment
+     */
+    "PATCH /repos/:owner/:repo/issues/comments/:comment_id": {
+        parameters: IssuesUpdateCommentEndpoint;
+        request: IssuesUpdateCommentRequestOptions;
+        response: OctokitResponse<IssuesUpdateCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#update-a-label
+     */
+    "PATCH /repos/:owner/:repo/labels/:name": {
+        parameters: IssuesUpdateLabelEndpoint;
+        request: IssuesUpdateLabelRequestOptions;
+        response: OctokitResponse<IssuesUpdateLabelResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/milestones/#update-a-milestone
+     */
+    "PATCH /repos/:owner/:repo/milestones/:milestone_number": {
+        parameters: IssuesUpdateMilestoneEndpoint;
+        request: IssuesUpdateMilestoneRequestOptions;
+        response: OctokitResponse<IssuesUpdateMilestoneResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#update-a-pull-request
+     */
+    "PATCH /repos/:owner/:repo/pulls/:pull_number": {
+        parameters: PullsUpdateEndpoint;
+        request: PullsUpdateRequestOptions;
+        response: OctokitResponse<PullsUpdateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#update-a-review-comment-for-a-pull-request
+     */
+    "PATCH /repos/:owner/:repo/pulls/comments/:comment_id": {
+        parameters: PullsUpdateReviewCommentEndpoint;
+        request: PullsUpdateReviewCommentRequestOptions;
+        response: OctokitResponse<PullsUpdateReviewCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#update-a-release
+     */
+    "PATCH /repos/:owner/:repo/releases/:release_id": {
+        parameters: ReposUpdateReleaseEndpoint;
+        request: ReposUpdateReleaseRequestOptions;
+        response: OctokitResponse<ReposUpdateReleaseResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#update-a-release-asset
+     */
+    "PATCH /repos/:owner/:repo/releases/assets/:asset_id": {
+        parameters: ReposUpdateReleaseAssetEndpoint;
+        request: ReposUpdateReleaseAssetRequestOptions;
+        response: OctokitResponse<ReposUpdateReleaseAssetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#update-an-attribute-for-a-scim-enterprise-group
+     */
+    "PATCH /scim/v2/enterprises/:enterprise/Groups/:scim_group_id": {
+        parameters: EnterpriseAdminUpdateAttributeForEnterpriseGroupEndpoint;
+        request: EnterpriseAdminUpdateAttributeForEnterpriseGroupRequestOptions;
+        response: OctokitResponse<EnterpriseAdminUpdateAttributeForEnterpriseGroupResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#update-an-attribute-for-a-scim-enterprise-user
+     */
+    "PATCH /scim/v2/enterprises/:enterprise/Users/:scim_user_id": {
+        parameters: EnterpriseAdminUpdateAttributeForEnterpriseUserEndpoint;
+        request: EnterpriseAdminUpdateAttributeForEnterpriseUserRequestOptions;
+        response: OctokitResponse<EnterpriseAdminUpdateAttributeForEnterpriseUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/scim/#update-an-attribute-for-a-scim-user
+     */
+    "PATCH /scim/v2/organizations/:org/Users/:scim_user_id": {
+        parameters: ScimUpdateAttributeForUserEndpoint;
+        request: ScimUpdateAttributeForUserRequestOptions;
+        response: OctokitResponse<ScimUpdateAttributeForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#update-a-team-legacy
+     */
+    "PATCH /teams/:team_id": {
+        parameters: TeamsUpdateLegacyEndpoint;
+        request: TeamsUpdateLegacyRequestOptions;
+        response: OctokitResponse<TeamsUpdateLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#update-a-discussion-legacy
+     */
+    "PATCH /teams/:team_id/discussions/:discussion_number": {
+        parameters: TeamsUpdateDiscussionLegacyEndpoint;
+        request: TeamsUpdateDiscussionLegacyRequestOptions;
+        response: OctokitResponse<TeamsUpdateDiscussionLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#update-a-discussion-comment-legacy
+     */
+    "PATCH /teams/:team_id/discussions/:discussion_number/comments/:comment_number": {
+        parameters: TeamsUpdateDiscussionCommentLegacyEndpoint;
+        request: TeamsUpdateDiscussionCommentLegacyRequestOptions;
+        response: OctokitResponse<TeamsUpdateDiscussionCommentLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/team_sync/#create-or-update-idp-group-connections-legacy
+     */
+    "PATCH /teams/:team_id/team-sync/group-mappings": {
+        parameters: TeamsCreateOrUpdateIdPGroupConnectionsLegacyEndpoint;
+        request: TeamsCreateOrUpdateIdPGroupConnectionsLegacyRequestOptions;
+        response: OctokitResponse<TeamsCreateOrUpdateIdPGroupConnectionsLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/#update-the-authenticated-user
+     */
+    "PATCH /user": {
+        parameters: UsersUpdateAuthenticatedEndpoint;
+        request: UsersUpdateAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersUpdateAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/emails/#set-primary-email-visibility-for-the-authenticated-user
+     */
+    "PATCH /user/email/visibility": {
+        parameters: UsersSetPrimaryEmailVisibilityForAuthenticatedEndpoint;
+        request: UsersSetPrimaryEmailVisibilityForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersSetPrimaryEmailVisibilityForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#update-an-organization-membership-for-the-authenticated-user
+     */
+    "PATCH /user/memberships/orgs/:org": {
+        parameters: OrgsUpdateMembershipForAuthenticatedUserEndpoint;
+        request: OrgsUpdateMembershipForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<OrgsUpdateMembershipForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/invitations/#accept-a-repository-invitation
+     */
+    "PATCH /user/repository_invitations/:invitation_id": {
+        parameters: ReposAcceptInvitationEndpoint;
+        request: ReposAcceptInvitationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#create-a-github-app-from-a-manifest
+     */
+    "POST /app-manifests/:code/conversions": {
+        parameters: AppsCreateFromManifestEndpoint;
+        request: AppsCreateFromManifestRequestOptions;
+        response: OctokitResponse<AppsCreateFromManifestResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#create-an-installation-access-token-for-an-app
+     */
+    "POST /app/installations/:installation_id/access_tokens": {
+        parameters: AppsCreateInstallationAccessTokenEndpoint;
+        request: AppsCreateInstallationAccessTokenRequestOptions;
+        response: OctokitResponse<AppsCreateInstallationAccessTokenResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/oauth_applications/#check-a-token
+     */
+    "POST /applications/:client_id/token": {
+        parameters: AppsCheckTokenEndpoint;
+        request: AppsCheckTokenRequestOptions;
+        response: OctokitResponse<AppsCheckTokenResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/oauth_applications/#reset-an-authorization
+     */
+    "POST /applications/:client_id/tokens/:access_token": {
+        parameters: AppsResetAuthorizationEndpoint;
+        request: AppsResetAuthorizationRequestOptions;
+        response: OctokitResponse<AppsResetAuthorizationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#create-a-new-authorization
+     */
+    "POST /authorizations": {
+        parameters: OauthAuthorizationsCreateAuthorizationEndpoint;
+        request: OauthAuthorizationsCreateAuthorizationRequestOptions;
+        response: OctokitResponse<OauthAuthorizationsCreateAuthorizationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#create-a-content-attachment
+     */
+    "POST /content_references/:content_reference_id/attachments": {
+        parameters: AppsCreateContentAttachmentEndpoint;
+        request: AppsCreateContentAttachmentRequestOptions;
+        response: OctokitResponse<AppsCreateContentAttachmentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#create-a-gist
+     */
+    "POST /gists": {
+        parameters: GistsCreateEndpoint;
+        request: GistsCreateRequestOptions;
+        response: OctokitResponse<GistsCreateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/comments/#create-a-gist-comment
+     */
+    "POST /gists/:gist_id/comments": {
+        parameters: GistsCreateCommentEndpoint;
+        request: GistsCreateCommentRequestOptions;
+        response: OctokitResponse<GistsCreateCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#fork-a-gist
+     */
+    "POST /gists/:gist_id/forks": {
+        parameters: GistsForkEndpoint;
+        request: GistsForkRequestOptions;
+        response: OctokitResponse<GistsForkResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/markdown/#render-a-markdown-document
+     */
+    "POST /markdown": {
+        parameters: MarkdownRenderEndpoint;
+        request: MarkdownRenderRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/markdown/#render-a-markdown-document-in-raw-mode
+     */
+    "POST /markdown/raw": {
+        parameters: MarkdownRenderRawEndpoint;
+        request: MarkdownRenderRawRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#create-a-registration-token-for-an-organization
+     */
+    "POST /orgs/:org/actions/runners/registration-token": {
+        parameters: ActionsCreateRegistrationTokenForOrgEndpoint;
+        request: ActionsCreateRegistrationTokenForOrgRequestOptions;
+        response: OctokitResponse<ActionsCreateRegistrationTokenForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#create-a-remove-token-for-an-organization
+     */
+    "POST /orgs/:org/actions/runners/remove-token": {
+        parameters: ActionsCreateRemoveTokenForOrgEndpoint;
+        request: ActionsCreateRemoveTokenForOrgRequestOptions;
+        response: OctokitResponse<ActionsCreateRemoveTokenForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/hooks/#create-an-organization-webhook
+     */
+    "POST /orgs/:org/hooks": {
+        parameters: OrgsCreateWebhookEndpoint;
+        request: OrgsCreateWebhookRequestOptions;
+        response: OctokitResponse<OrgsCreateWebhookResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/hooks/#ping-an-organization-webhook
+     */
+    "POST /orgs/:org/hooks/:hook_id/pings": {
+        parameters: OrgsPingWebhookEndpoint;
+        request: OrgsPingWebhookRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#create-an-organization-invitation
+     */
+    "POST /orgs/:org/invitations": {
+        parameters: OrgsCreateInvitationEndpoint;
+        request: OrgsCreateInvitationRequestOptions;
+        response: OctokitResponse<OrgsCreateInvitationResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/orgs/#start-an-organization-migration
+     */
+    "POST /orgs/:org/migrations": {
+        parameters: MigrationsStartForOrgEndpoint;
+        request: MigrationsStartForOrgRequestOptions;
+        response: OctokitResponse<MigrationsStartForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#create-an-organization-project
+     */
+    "POST /orgs/:org/projects": {
+        parameters: ProjectsCreateForOrgEndpoint;
+        request: ProjectsCreateForOrgRequestOptions;
+        response: OctokitResponse<ProjectsCreateForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#create-an-organization-repository
+     */
+    "POST /orgs/:org/repos": {
+        parameters: ReposCreateInOrgEndpoint;
+        request: ReposCreateInOrgRequestOptions;
+        response: OctokitResponse<ReposCreateInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#create-a-team
+     */
+    "POST /orgs/:org/teams": {
+        parameters: TeamsCreateEndpoint;
+        request: TeamsCreateRequestOptions;
+        response: OctokitResponse<TeamsCreateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#create-a-discussion
+     */
+    "POST /orgs/:org/teams/:team_slug/discussions": {
+        parameters: TeamsCreateDiscussionInOrgEndpoint;
+        request: TeamsCreateDiscussionInOrgRequestOptions;
+        response: OctokitResponse<TeamsCreateDiscussionInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#create-a-discussion-comment
+     */
+    "POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments": {
+        parameters: TeamsCreateDiscussionCommentInOrgEndpoint;
+        request: TeamsCreateDiscussionCommentInOrgRequestOptions;
+        response: OctokitResponse<TeamsCreateDiscussionCommentInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment
+     */
+    "POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions": {
+        parameters: ReactionsCreateForTeamDiscussionCommentInOrgEndpoint;
+        request: ReactionsCreateForTeamDiscussionCommentInOrgRequestOptions;
+        response: OctokitResponse<ReactionsCreateForTeamDiscussionCommentInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion
+     */
+    "POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions": {
+        parameters: ReactionsCreateForTeamDiscussionInOrgEndpoint;
+        request: ReactionsCreateForTeamDiscussionInOrgRequestOptions;
+        response: OctokitResponse<ReactionsCreateForTeamDiscussionInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/columns/#create-a-project-column
+     */
+    "POST /projects/:project_id/columns": {
+        parameters: ProjectsCreateColumnEndpoint;
+        request: ProjectsCreateColumnRequestOptions;
+        response: OctokitResponse<ProjectsCreateColumnResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/cards/#create-a-project-card
+     */
+    "POST /projects/columns/:column_id/cards": {
+        parameters: ProjectsCreateCardEndpoint;
+        request: ProjectsCreateCardRequestOptions;
+        response: OctokitResponse<ProjectsCreateCardResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/columns/#move-a-project-column
+     */
+    "POST /projects/columns/:column_id/moves": {
+        parameters: ProjectsMoveColumnEndpoint;
+        request: ProjectsMoveColumnRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/cards/#move-a-project-card
+     */
+    "POST /projects/columns/cards/:card_id/moves": {
+        parameters: ProjectsMoveCardEndpoint;
+        request: ProjectsMoveCardRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#create-a-registration-token-for-a-repository
+     */
+    "POST /repos/:owner/:repo/actions/runners/registration-token": {
+        parameters: ActionsCreateRegistrationTokenForRepoEndpoint;
+        request: ActionsCreateRegistrationTokenForRepoRequestOptions;
+        response: OctokitResponse<ActionsCreateRegistrationTokenForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/self-hosted-runners/#create-a-remove-token-for-a-repository
+     */
+    "POST /repos/:owner/:repo/actions/runners/remove-token": {
+        parameters: ActionsCreateRemoveTokenForRepoEndpoint;
+        request: ActionsCreateRemoveTokenForRepoRequestOptions;
+        response: OctokitResponse<ActionsCreateRemoveTokenForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#cancel-a-workflow-run
+     */
+    "POST /repos/:owner/:repo/actions/runs/:run_id/cancel": {
+        parameters: ActionsCancelWorkflowRunEndpoint;
+        request: ActionsCancelWorkflowRunRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflow-runs/#re-run-a-workflow
+     */
+    "POST /repos/:owner/:repo/actions/runs/:run_id/rerun": {
+        parameters: ActionsReRunWorkflowEndpoint;
+        request: ActionsReRunWorkflowRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/workflows/#create-a-workflow-dispatch-event
+     */
+    "POST /repos/:owner/:repo/actions/workflows/:workflow_id/dispatches": {
+        parameters: ActionsCreateWorkflowDispatchEndpoint;
+        request: ActionsCreateWorkflowDispatchRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#set-admin-branch-protection
+     */
+    "POST /repos/:owner/:repo/branches/:branch/protection/enforce_admins": {
+        parameters: ReposSetAdminBranchProtectionEndpoint;
+        request: ReposSetAdminBranchProtectionRequestOptions;
+        response: OctokitResponse<ReposSetAdminBranchProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#create-commit-signature-protection
+     */
+    "POST /repos/:owner/:repo/branches/:branch/protection/required_signatures": {
+        parameters: ReposCreateCommitSignatureProtectionEndpoint;
+        request: ReposCreateCommitSignatureProtectionRequestOptions;
+        response: OctokitResponse<ReposCreateCommitSignatureProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#add-status-check-contexts
+     */
+    "POST /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts": {
+        parameters: ReposAddStatusCheckContextsEndpoint;
+        request: ReposAddStatusCheckContextsRequestOptions;
+        response: OctokitResponse<ReposAddStatusCheckContextsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#add-app-access-restrictions
+     */
+    "POST /repos/:owner/:repo/branches/:branch/protection/restrictions/apps": {
+        parameters: ReposAddAppAccessRestrictionsEndpoint;
+        request: ReposAddAppAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposAddAppAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#add-team-access-restrictions
+     */
+    "POST /repos/:owner/:repo/branches/:branch/protection/restrictions/teams": {
+        parameters: ReposAddTeamAccessRestrictionsEndpoint;
+        request: ReposAddTeamAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposAddTeamAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#add-user-access-restrictions
+     */
+    "POST /repos/:owner/:repo/branches/:branch/protection/restrictions/users": {
+        parameters: ReposAddUserAccessRestrictionsEndpoint;
+        request: ReposAddUserAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposAddUserAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/runs/#create-a-check-run
+     */
+    "POST /repos/:owner/:repo/check-runs": {
+        parameters: ChecksCreateEndpoint;
+        request: ChecksCreateRequestOptions;
+        response: OctokitResponse<ChecksCreateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/suites/#create-a-check-suite
+     */
+    "POST /repos/:owner/:repo/check-suites": {
+        parameters: ChecksCreateSuiteEndpoint;
+        request: ChecksCreateSuiteRequestOptions;
+        response: OctokitResponse<ChecksCreateSuiteResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/checks/suites/#rerequest-a-check-suite
+     */
+    "POST /repos/:owner/:repo/check-suites/:check_suite_id/rerequest": {
+        parameters: ChecksRerequestSuiteEndpoint;
+        request: ChecksRerequestSuiteRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#create-reaction-for-a-commit-comment
+     */
+    "POST /repos/:owner/:repo/comments/:comment_id/reactions": {
+        parameters: ReactionsCreateForCommitCommentEndpoint;
+        request: ReactionsCreateForCommitCommentRequestOptions;
+        response: OctokitResponse<ReactionsCreateForCommitCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/comments/#create-a-commit-comment
+     */
+    "POST /repos/:owner/:repo/commits/:commit_sha/comments": {
+        parameters: ReposCreateCommitCommentEndpoint;
+        request: ReposCreateCommitCommentRequestOptions;
+        response: OctokitResponse<ReposCreateCommitCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#create-a-deployment
+     */
+    "POST /repos/:owner/:repo/deployments": {
+        parameters: ReposCreateDeploymentEndpoint;
+        request: ReposCreateDeploymentRequestOptions;
+        response: OctokitResponse<ReposCreateDeploymentResponseData | ReposCreateDeploymentResponse202Data | ReposCreateDeploymentResponse409Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/deployments/#create-a-deployment-status
+     */
+    "POST /repos/:owner/:repo/deployments/:deployment_id/statuses": {
+        parameters: ReposCreateDeploymentStatusEndpoint;
+        request: ReposCreateDeploymentStatusRequestOptions;
+        response: OctokitResponse<ReposCreateDeploymentStatusResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#create-a-repository-dispatch-event
+     */
+    "POST /repos/:owner/:repo/dispatches": {
+        parameters: ReposCreateDispatchEventEndpoint;
+        request: ReposCreateDispatchEventRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/forks/#create-a-fork
+     */
+    "POST /repos/:owner/:repo/forks": {
+        parameters: ReposCreateForkEndpoint;
+        request: ReposCreateForkRequestOptions;
+        response: OctokitResponse<ReposCreateForkResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/blobs/#create-a-blob
+     */
+    "POST /repos/:owner/:repo/git/blobs": {
+        parameters: GitCreateBlobEndpoint;
+        request: GitCreateBlobRequestOptions;
+        response: OctokitResponse<GitCreateBlobResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/commits/#create-a-commit
+     */
+    "POST /repos/:owner/:repo/git/commits": {
+        parameters: GitCreateCommitEndpoint;
+        request: GitCreateCommitRequestOptions;
+        response: OctokitResponse<GitCreateCommitResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/refs/#create-a-reference
+     */
+    "POST /repos/:owner/:repo/git/refs": {
+        parameters: GitCreateRefEndpoint;
+        request: GitCreateRefRequestOptions;
+        response: OctokitResponse<GitCreateRefResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/tags/#create-a-tag-object
+     */
+    "POST /repos/:owner/:repo/git/tags": {
+        parameters: GitCreateTagEndpoint;
+        request: GitCreateTagRequestOptions;
+        response: OctokitResponse<GitCreateTagResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/git/trees/#create-a-tree
+     */
+    "POST /repos/:owner/:repo/git/trees": {
+        parameters: GitCreateTreeEndpoint;
+        request: GitCreateTreeRequestOptions;
+        response: OctokitResponse<GitCreateTreeResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/hooks/#create-a-repository-webhook
+     */
+    "POST /repos/:owner/:repo/hooks": {
+        parameters: ReposCreateWebhookEndpoint;
+        request: ReposCreateWebhookRequestOptions;
+        response: OctokitResponse<ReposCreateWebhookResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/hooks/#ping-a-repository-webhook
+     */
+    "POST /repos/:owner/:repo/hooks/:hook_id/pings": {
+        parameters: ReposPingWebhookEndpoint;
+        request: ReposPingWebhookRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/hooks/#test-the-push-repository-webhook
+     */
+    "POST /repos/:owner/:repo/hooks/:hook_id/tests": {
+        parameters: ReposTestPushWebhookEndpoint;
+        request: ReposTestPushWebhookRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#create-an-issue
+     */
+    "POST /repos/:owner/:repo/issues": {
+        parameters: IssuesCreateEndpoint;
+        request: IssuesCreateRequestOptions;
+        response: OctokitResponse<IssuesCreateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/assignees/#add-assignees-to-an-issue
+     */
+    "POST /repos/:owner/:repo/issues/:issue_number/assignees": {
+        parameters: IssuesAddAssigneesEndpoint;
+        request: IssuesAddAssigneesRequestOptions;
+        response: OctokitResponse<IssuesAddAssigneesResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/comments/#create-an-issue-comment
+     */
+    "POST /repos/:owner/:repo/issues/:issue_number/comments": {
+        parameters: IssuesCreateCommentEndpoint;
+        request: IssuesCreateCommentRequestOptions;
+        response: OctokitResponse<IssuesCreateCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#add-labels-to-an-issue
+     */
+    "POST /repos/:owner/:repo/issues/:issue_number/labels": {
+        parameters: IssuesAddLabelsEndpoint;
+        request: IssuesAddLabelsRequestOptions;
+        response: OctokitResponse<IssuesAddLabelsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#create-reaction-for-an-issue
+     */
+    "POST /repos/:owner/:repo/issues/:issue_number/reactions": {
+        parameters: ReactionsCreateForIssueEndpoint;
+        request: ReactionsCreateForIssueRequestOptions;
+        response: OctokitResponse<ReactionsCreateForIssueResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#create-reaction-for-an-issue-comment
+     */
+    "POST /repos/:owner/:repo/issues/comments/:comment_id/reactions": {
+        parameters: ReactionsCreateForIssueCommentEndpoint;
+        request: ReactionsCreateForIssueCommentRequestOptions;
+        response: OctokitResponse<ReactionsCreateForIssueCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/keys/#create-a-deploy-key
+     */
+    "POST /repos/:owner/:repo/keys": {
+        parameters: ReposCreateDeployKeyEndpoint;
+        request: ReposCreateDeployKeyRequestOptions;
+        response: OctokitResponse<ReposCreateDeployKeyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#create-a-label
+     */
+    "POST /repos/:owner/:repo/labels": {
+        parameters: IssuesCreateLabelEndpoint;
+        request: IssuesCreateLabelRequestOptions;
+        response: OctokitResponse<IssuesCreateLabelResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/merging/#merge-a-branch
+     */
+    "POST /repos/:owner/:repo/merges": {
+        parameters: ReposMergeEndpoint;
+        request: ReposMergeRequestOptions;
+        response: OctokitResponse<ReposMergeResponseData | ReposMergeResponse404Data | ReposMergeResponse409Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/milestones/#create-a-milestone
+     */
+    "POST /repos/:owner/:repo/milestones": {
+        parameters: IssuesCreateMilestoneEndpoint;
+        request: IssuesCreateMilestoneRequestOptions;
+        response: OctokitResponse<IssuesCreateMilestoneResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#create-a-github-pages-site
+     */
+    "POST /repos/:owner/:repo/pages": {
+        parameters: ReposCreatePagesSiteEndpoint;
+        request: ReposCreatePagesSiteRequestOptions;
+        response: OctokitResponse<ReposCreatePagesSiteResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#request-a-github-pages-build
+     */
+    "POST /repos/:owner/:repo/pages/builds": {
+        parameters: ReposRequestPagesBuildEndpoint;
+        request: ReposRequestPagesBuildRequestOptions;
+        response: OctokitResponse<ReposRequestPagesBuildResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#create-a-repository-project
+     */
+    "POST /repos/:owner/:repo/projects": {
+        parameters: ProjectsCreateForRepoEndpoint;
+        request: ProjectsCreateForRepoRequestOptions;
+        response: OctokitResponse<ProjectsCreateForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#create-a-pull-request
+     */
+    "POST /repos/:owner/:repo/pulls": {
+        parameters: PullsCreateEndpoint;
+        request: PullsCreateRequestOptions;
+        response: OctokitResponse<PullsCreateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#create-a-review-comment-for-a-pull-request
+     */
+    "POST /repos/:owner/:repo/pulls/:pull_number/comments": {
+        parameters: PullsCreateReviewCommentEndpoint;
+        request: PullsCreateReviewCommentRequestOptions;
+        response: OctokitResponse<PullsCreateReviewCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/comments/#create-a-reply-for-a-review-comment
+     */
+    "POST /repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies": {
+        parameters: PullsCreateReplyForReviewCommentEndpoint;
+        request: PullsCreateReplyForReviewCommentRequestOptions;
+        response: OctokitResponse<PullsCreateReplyForReviewCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/review_requests/#request-reviewers-for-a-pull-request
+     */
+    "POST /repos/:owner/:repo/pulls/:pull_number/requested_reviewers": {
+        parameters: PullsRequestReviewersEndpoint;
+        request: PullsRequestReviewersRequestOptions;
+        response: OctokitResponse<PullsRequestReviewersResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#create-a-review-for-a-pull-request
+     */
+    "POST /repos/:owner/:repo/pulls/:pull_number/reviews": {
+        parameters: PullsCreateReviewEndpoint;
+        request: PullsCreateReviewRequestOptions;
+        response: OctokitResponse<PullsCreateReviewResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#submit-a-review-for-a-pull-request
+     */
+    "POST /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events": {
+        parameters: PullsSubmitReviewEndpoint;
+        request: PullsSubmitReviewRequestOptions;
+        response: OctokitResponse<PullsSubmitReviewResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#create-reaction-for-a-pull-request-review-comment
+     */
+    "POST /repos/:owner/:repo/pulls/comments/:comment_id/reactions": {
+        parameters: ReactionsCreateForPullRequestReviewCommentEndpoint;
+        request: ReactionsCreateForPullRequestReviewCommentRequestOptions;
+        response: OctokitResponse<ReactionsCreateForPullRequestReviewCommentResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#create-a-release
+     */
+    "POST /repos/:owner/:repo/releases": {
+        parameters: ReposCreateReleaseEndpoint;
+        request: ReposCreateReleaseRequestOptions;
+        response: OctokitResponse<ReposCreateReleaseResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/releases/#upload-a-release-asset
+     */
+    "POST /repos/:owner/:repo/releases/:release_id/assets{?name,label}": {
+        parameters: ReposUploadReleaseAssetEndpoint;
+        request: ReposUploadReleaseAssetRequestOptions;
+        response: OctokitResponse<ReposUploadReleaseAssetResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/statuses/#create-a-commit-status
+     */
+    "POST /repos/:owner/:repo/statuses/:sha": {
+        parameters: ReposCreateCommitStatusEndpoint;
+        request: ReposCreateCommitStatusRequestOptions;
+        response: OctokitResponse<ReposCreateCommitStatusResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#transfer-a-repository
+     */
+    "POST /repos/:owner/:repo/transfer": {
+        parameters: ReposTransferEndpoint;
+        request: ReposTransferRequestOptions;
+        response: OctokitResponse<ReposTransferResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#create-a-repository-using-a-template
+     */
+    "POST /repos/:template_owner/:template_repo/generate": {
+        parameters: ReposCreateUsingTemplateEndpoint;
+        request: ReposCreateUsingTemplateRequestOptions;
+        response: OctokitResponse<ReposCreateUsingTemplateResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#provision-a-scim-enterprise-group-and-invite-users
+     */
+    "POST /scim/v2/enterprises/:enterprise/Groups": {
+        parameters: EnterpriseAdminProvisionAndInviteEnterpriseGroupEndpoint;
+        request: EnterpriseAdminProvisionAndInviteEnterpriseGroupRequestOptions;
+        response: OctokitResponse<EnterpriseAdminProvisionAndInviteEnterpriseGroupResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#provision-and-invite-a-scim-enterprise-user
+     */
+    "POST /scim/v2/enterprises/:enterprise/Users": {
+        parameters: EnterpriseAdminProvisionAndInviteEnterpriseUserEndpoint;
+        request: EnterpriseAdminProvisionAndInviteEnterpriseUserRequestOptions;
+        response: OctokitResponse<EnterpriseAdminProvisionAndInviteEnterpriseUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/scim/#provision-and-invite-a-scim-user
+     */
+    "POST /scim/v2/organizations/:org/Users": {
+        parameters: ScimProvisionAndInviteUserEndpoint;
+        request: ScimProvisionAndInviteUserRequestOptions;
+        response: OctokitResponse<ScimProvisionAndInviteUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussions/#create-a-discussion-legacy
+     */
+    "POST /teams/:team_id/discussions": {
+        parameters: TeamsCreateDiscussionLegacyEndpoint;
+        request: TeamsCreateDiscussionLegacyRequestOptions;
+        response: OctokitResponse<TeamsCreateDiscussionLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/discussion_comments/#create-a-discussion-comment-legacy
+     */
+    "POST /teams/:team_id/discussions/:discussion_number/comments": {
+        parameters: TeamsCreateDiscussionCommentLegacyEndpoint;
+        request: TeamsCreateDiscussionCommentLegacyRequestOptions;
+        response: OctokitResponse<TeamsCreateDiscussionCommentLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-comment-legacy
+     */
+    "POST /teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions": {
+        parameters: ReactionsCreateForTeamDiscussionCommentLegacyEndpoint;
+        request: ReactionsCreateForTeamDiscussionCommentLegacyRequestOptions;
+        response: OctokitResponse<ReactionsCreateForTeamDiscussionCommentLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/reactions/#create-reaction-for-a-team-discussion-legacy
+     */
+    "POST /teams/:team_id/discussions/:discussion_number/reactions": {
+        parameters: ReactionsCreateForTeamDiscussionLegacyEndpoint;
+        request: ReactionsCreateForTeamDiscussionLegacyRequestOptions;
+        response: OctokitResponse<ReactionsCreateForTeamDiscussionLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/emails/#add-an-email-address-for-the-authenticated-user
+     */
+    "POST /user/emails": {
+        parameters: UsersAddEmailForAuthenticatedEndpoint;
+        request: UsersAddEmailForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersAddEmailForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/gpg_keys/#create-a-gpg-key-for-the-authenticated-user
+     */
+    "POST /user/gpg_keys": {
+        parameters: UsersCreateGpgKeyForAuthenticatedEndpoint;
+        request: UsersCreateGpgKeyForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersCreateGpgKeyForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/keys/#create-a-public-ssh-key-for-the-authenticated-user
+     */
+    "POST /user/keys": {
+        parameters: UsersCreatePublicSshKeyForAuthenticatedEndpoint;
+        request: UsersCreatePublicSshKeyForAuthenticatedRequestOptions;
+        response: OctokitResponse<UsersCreatePublicSshKeyForAuthenticatedResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/users/#start-a-user-migration
+     */
+    "POST /user/migrations": {
+        parameters: MigrationsStartForAuthenticatedUserEndpoint;
+        request: MigrationsStartForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<MigrationsStartForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/#create-a-user-project
+     */
+    "POST /user/projects": {
+        parameters: ProjectsCreateForAuthenticatedUserEndpoint;
+        request: ProjectsCreateForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<ProjectsCreateForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#create-a-repository-for-the-authenticated-user
+     */
+    "POST /user/repos": {
+        parameters: ReposCreateForAuthenticatedUserEndpoint;
+        request: ReposCreateForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<ReposCreateForAuthenticatedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/#suspend-an-app-installation
+     */
+    "PUT /app/installations/:installation_id/suspended": {
+        parameters: AppsSuspendInstallationEndpoint;
+        request: AppsSuspendInstallationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app
+     */
+    "PUT /authorizations/clients/:client_id": {
+        parameters: OauthAuthorizationsGetOrCreateAuthorizationForAppEndpoint;
+        request: OauthAuthorizationsGetOrCreateAuthorizationForAppRequestOptions;
+        response: OctokitResponse<OauthAuthorizationsGetOrCreateAuthorizationForAppResponseData | OauthAuthorizationsGetOrCreateAuthorizationForAppResponse201Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint
+     */
+    "PUT /authorizations/clients/:client_id/:fingerprint": {
+        parameters: OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintEndpoint;
+        request: OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintRequestOptions;
+        response: OctokitResponse<OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponseData | OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponse201Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/gists/#star-a-gist
+     */
+    "PUT /gists/:gist_id/star": {
+        parameters: GistsStarEndpoint;
+        request: GistsStarRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#mark-notifications-as-read
+     */
+    "PUT /notifications": {
+        parameters: ActivityMarkNotificationsAsReadEndpoint;
+        request: ActivityMarkNotificationsAsReadRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#set-a-thread-subscription
+     */
+    "PUT /notifications/threads/:thread_id/subscription": {
+        parameters: ActivitySetThreadSubscriptionEndpoint;
+        request: ActivitySetThreadSubscriptionRequestOptions;
+        response: OctokitResponse<ActivitySetThreadSubscriptionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#create-or-update-an-organization-secret
+     */
+    "PUT /orgs/:org/actions/secrets/:secret_name": {
+        parameters: ActionsCreateOrUpdateOrgSecretEndpoint;
+        request: ActionsCreateOrUpdateOrgSecretRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#set-selected-repositories-for-an-organization-secret
+     */
+    "PUT /orgs/:org/actions/secrets/:secret_name/repositories": {
+        parameters: ActionsSetSelectedReposForOrgSecretEndpoint;
+        request: ActionsSetSelectedReposForOrgSecretRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#add-selected-repository-to-an-organization-secret
+     */
+    "PUT /orgs/:org/actions/secrets/:secret_name/repositories/:repository_id": {
+        parameters: ActionsAddSelectedRepoToOrgSecretEndpoint;
+        request: ActionsAddSelectedRepoToOrgSecretRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/blocking/#block-a-user-from-an-organization
+     */
+    "PUT /orgs/:org/blocks/:username": {
+        parameters: OrgsBlockUserEndpoint;
+        request: OrgsBlockUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/interactions/orgs/#set-interaction-restrictions-for-an-organization
+     */
+    "PUT /orgs/:org/interaction-limits": {
+        parameters: InteractionsSetRestrictionsForOrgEndpoint;
+        request: InteractionsSetRestrictionsForOrgRequestOptions;
+        response: OctokitResponse<InteractionsSetRestrictionsForOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#set-organization-membership-for-a-user
+     */
+    "PUT /orgs/:org/memberships/:username": {
+        parameters: OrgsSetMembershipForUserEndpoint;
+        request: OrgsSetMembershipForUserRequestOptions;
+        response: OctokitResponse<OrgsSetMembershipForUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/outside_collaborators/#convert-an-organization-member-to-outside-collaborator
+     */
+    "PUT /orgs/:org/outside_collaborators/:username": {
+        parameters: OrgsConvertMemberToOutsideCollaboratorEndpoint;
+        request: OrgsConvertMemberToOutsideCollaboratorRequestOptions;
+        response: OctokitResponse<OrgsConvertMemberToOutsideCollaboratorResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/orgs/members/#set-public-organization-membership-for-the-authenticated-user
+     */
+    "PUT /orgs/:org/public_members/:username": {
+        parameters: OrgsSetPublicMembershipForAuthenticatedUserEndpoint;
+        request: OrgsSetPublicMembershipForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-for-a-user
+     */
+    "PUT /orgs/:org/teams/:team_slug/memberships/:username": {
+        parameters: TeamsAddOrUpdateMembershipForUserInOrgEndpoint;
+        request: TeamsAddOrUpdateMembershipForUserInOrgRequestOptions;
+        response: OctokitResponse<TeamsAddOrUpdateMembershipForUserInOrgResponseData | TeamsAddOrUpdateMembershipForUserInOrgResponse422Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#add-or-update-team-project-permissions
+     */
+    "PUT /orgs/:org/teams/:team_slug/projects/:project_id": {
+        parameters: TeamsAddOrUpdateProjectPermissionsInOrgEndpoint;
+        request: TeamsAddOrUpdateProjectPermissionsInOrgRequestOptions;
+        response: OctokitResponse<TeamsAddOrUpdateProjectPermissionsInOrgResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#add-or-update-team-repository-permissions
+     */
+    "PUT /orgs/:org/teams/:team_slug/repos/:owner/:repo": {
+        parameters: TeamsAddOrUpdateRepoPermissionsInOrgEndpoint;
+        request: TeamsAddOrUpdateRepoPermissionsInOrgRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/projects/collaborators/#add-project-collaborator
+     */
+    "PUT /projects/:project_id/collaborators/:username": {
+        parameters: ProjectsAddCollaboratorEndpoint;
+        request: ProjectsAddCollaboratorRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/actions/secrets/#create-or-update-a-repository-secret
+     */
+    "PUT /repos/:owner/:repo/actions/secrets/:secret_name": {
+        parameters: ActionsCreateOrUpdateRepoSecretEndpoint;
+        request: ActionsCreateOrUpdateRepoSecretRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#enable-automated-security-fixes
+     */
+    "PUT /repos/:owner/:repo/automated-security-fixes": {
+        parameters: ReposEnableAutomatedSecurityFixesEndpoint;
+        request: ReposEnableAutomatedSecurityFixesRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#update-branch-protection
+     */
+    "PUT /repos/:owner/:repo/branches/:branch/protection": {
+        parameters: ReposUpdateBranchProtectionEndpoint;
+        request: ReposUpdateBranchProtectionRequestOptions;
+        response: OctokitResponse<ReposUpdateBranchProtectionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#set-status-check-contexts
+     */
+    "PUT /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts": {
+        parameters: ReposSetStatusCheckContextsEndpoint;
+        request: ReposSetStatusCheckContextsRequestOptions;
+        response: OctokitResponse<ReposSetStatusCheckContextsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#set-app-access-restrictions
+     */
+    "PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/apps": {
+        parameters: ReposSetAppAccessRestrictionsEndpoint;
+        request: ReposSetAppAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposSetAppAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#set-team-access-restrictions
+     */
+    "PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/teams": {
+        parameters: ReposSetTeamAccessRestrictionsEndpoint;
+        request: ReposSetTeamAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposSetTeamAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/branches/#set-user-access-restrictions
+     */
+    "PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/users": {
+        parameters: ReposSetUserAccessRestrictionsEndpoint;
+        request: ReposSetUserAccessRestrictionsRequestOptions;
+        response: OctokitResponse<ReposSetUserAccessRestrictionsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/collaborators/#add-a-repository-collaborator
+     */
+    "PUT /repos/:owner/:repo/collaborators/:username": {
+        parameters: ReposAddCollaboratorEndpoint;
+        request: ReposAddCollaboratorRequestOptions;
+        response: OctokitResponse<ReposAddCollaboratorResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/contents/#create-or-update-file-contents
+     */
+    "PUT /repos/:owner/:repo/contents/:path": {
+        parameters: ReposCreateOrUpdateFileContentsEndpoint;
+        request: ReposCreateOrUpdateFileContentsRequestOptions;
+        response: OctokitResponse<ReposCreateOrUpdateFileContentsResponseData | ReposCreateOrUpdateFileContentsResponse201Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/migrations/source_imports/#start-an-import
+     */
+    "PUT /repos/:owner/:repo/import": {
+        parameters: MigrationsStartImportEndpoint;
+        request: MigrationsStartImportRequestOptions;
+        response: OctokitResponse<MigrationsStartImportResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/interactions/repos/#set-interaction-restrictions-for-a-repository
+     */
+    "PUT /repos/:owner/:repo/interaction-limits": {
+        parameters: InteractionsSetRestrictionsForRepoEndpoint;
+        request: InteractionsSetRestrictionsForRepoRequestOptions;
+        response: OctokitResponse<InteractionsSetRestrictionsForRepoResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/labels/#set-labels-for-an-issue
+     */
+    "PUT /repos/:owner/:repo/issues/:issue_number/labels": {
+        parameters: IssuesSetLabelsEndpoint;
+        request: IssuesSetLabelsRequestOptions;
+        response: OctokitResponse<IssuesSetLabelsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/issues/#lock-an-issue
+     */
+    "PUT /repos/:owner/:repo/issues/:issue_number/lock": {
+        parameters: IssuesLockEndpoint;
+        request: IssuesLockRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/notifications/#mark-repository-notifications-as-read
+     */
+    "PUT /repos/:owner/:repo/notifications": {
+        parameters: ActivityMarkRepoNotificationsAsReadEndpoint;
+        request: ActivityMarkRepoNotificationsAsReadRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/pages/#update-information-about-a-github-pages-site
+     */
+    "PUT /repos/:owner/:repo/pages": {
+        parameters: ReposUpdateInformationAboutPagesSiteEndpoint;
+        request: ReposUpdateInformationAboutPagesSiteRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#merge-a-pull-request
+     */
+    "PUT /repos/:owner/:repo/pulls/:pull_number/merge": {
+        parameters: PullsMergeEndpoint;
+        request: PullsMergeRequestOptions;
+        response: OctokitResponse<PullsMergeResponseData | PullsMergeResponse405Data | PullsMergeResponse409Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#update-a-review-for-a-pull-request
+     */
+    "PUT /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id": {
+        parameters: PullsUpdateReviewEndpoint;
+        request: PullsUpdateReviewRequestOptions;
+        response: OctokitResponse<PullsUpdateReviewResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/reviews/#dismiss-a-review-for-a-pull-request
+     */
+    "PUT /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals": {
+        parameters: PullsDismissReviewEndpoint;
+        request: PullsDismissReviewRequestOptions;
+        response: OctokitResponse<PullsDismissReviewResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/pulls/#update-a-pull-request-branch
+     */
+    "PUT /repos/:owner/:repo/pulls/:pull_number/update-branch": {
+        parameters: PullsUpdateBranchEndpoint;
+        request: PullsUpdateBranchRequestOptions;
+        response: OctokitResponse<PullsUpdateBranchResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/watching/#set-a-repository-subscription
+     */
+    "PUT /repos/:owner/:repo/subscription": {
+        parameters: ActivitySetRepoSubscriptionEndpoint;
+        request: ActivitySetRepoSubscriptionRequestOptions;
+        response: OctokitResponse<ActivitySetRepoSubscriptionResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#replace-all-repository-topics
+     */
+    "PUT /repos/:owner/:repo/topics": {
+        parameters: ReposReplaceAllTopicsEndpoint;
+        request: ReposReplaceAllTopicsRequestOptions;
+        response: OctokitResponse<ReposReplaceAllTopicsResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/repos/#enable-vulnerability-alerts
+     */
+    "PUT /repos/:owner/:repo/vulnerability-alerts": {
+        parameters: ReposEnableVulnerabilityAlertsEndpoint;
+        request: ReposEnableVulnerabilityAlertsRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#set-scim-information-for-a-provisioned-enterprise-group
+     */
+    "PUT /scim/v2/enterprises/:enterprise/Groups/:scim_group_id": {
+        parameters: EnterpriseAdminSetInformationForProvisionedEnterpriseGroupEndpoint;
+        request: EnterpriseAdminSetInformationForProvisionedEnterpriseGroupRequestOptions;
+        response: OctokitResponse<EnterpriseAdminSetInformationForProvisionedEnterpriseGroupResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/enterprise-admin/scim/#set-scim-information-for-a-provisioned-enterprise-user
+     */
+    "PUT /scim/v2/enterprises/:enterprise/Users/:scim_user_id": {
+        parameters: EnterpriseAdminSetInformationForProvisionedEnterpriseUserEndpoint;
+        request: EnterpriseAdminSetInformationForProvisionedEnterpriseUserRequestOptions;
+        response: OctokitResponse<EnterpriseAdminSetInformationForProvisionedEnterpriseUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/scim/#set-scim-information-for-a-provisioned-user
+     */
+    "PUT /scim/v2/organizations/:org/Users/:scim_user_id": {
+        parameters: ScimSetInformationForProvisionedUserEndpoint;
+        request: ScimSetInformationForProvisionedUserRequestOptions;
+        response: OctokitResponse<ScimSetInformationForProvisionedUserResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#add-team-member-legacy
+     */
+    "PUT /teams/:team_id/members/:username": {
+        parameters: TeamsAddMemberLegacyEndpoint;
+        request: TeamsAddMemberLegacyRequestOptions;
+        response: OctokitResponse<TeamsAddMemberLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/members/#add-or-update-team-membership-for-a-user-legacy
+     */
+    "PUT /teams/:team_id/memberships/:username": {
+        parameters: TeamsAddOrUpdateMembershipForUserLegacyEndpoint;
+        request: TeamsAddOrUpdateMembershipForUserLegacyRequestOptions;
+        response: OctokitResponse<TeamsAddOrUpdateMembershipForUserLegacyResponseData | TeamsAddOrUpdateMembershipForUserLegacyResponse422Data>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#add-or-update-team-project-permissions-legacy
+     */
+    "PUT /teams/:team_id/projects/:project_id": {
+        parameters: TeamsAddOrUpdateProjectPermissionsLegacyEndpoint;
+        request: TeamsAddOrUpdateProjectPermissionsLegacyRequestOptions;
+        response: OctokitResponse<TeamsAddOrUpdateProjectPermissionsLegacyResponseData>;
+    };
+    /**
+     * @see https://developer.github.com/v3/teams/#add-or-update-team-repository-permissions-legacy
+     */
+    "PUT /teams/:team_id/repos/:owner/:repo": {
+        parameters: TeamsAddOrUpdateRepoPermissionsLegacyEndpoint;
+        request: TeamsAddOrUpdateRepoPermissionsLegacyRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/blocking/#block-a-user
+     */
+    "PUT /user/blocks/:username": {
+        parameters: UsersBlockEndpoint;
+        request: UsersBlockRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/users/followers/#follow-a-user
+     */
+    "PUT /user/following/:username": {
+        parameters: UsersFollowEndpoint;
+        request: UsersFollowRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/apps/installations/#add-a-repository-to-an-app-installation
+     */
+    "PUT /user/installations/:installation_id/repositories/:repository_id": {
+        parameters: AppsAddRepoToInstallationEndpoint;
+        request: AppsAddRepoToInstallationRequestOptions;
+        response: OctokitResponse<any>;
+    };
+    /**
+     * @see https://developer.github.com/v3/activity/starring/#star-a-repository-for-the-authenticated-user
+     */
+    "PUT /user/starred/:owner/:repo": {
+        parameters: ActivityStarRepoForAuthenticatedUserEndpoint;
+        request: ActivityStarRepoForAuthenticatedUserRequestOptions;
+        response: OctokitResponse<any>;
+    };
+}
+declare type ActionsAddSelectedRepoToOrgSecretEndpoint = {
+    org: string;
+    secret_name: string;
+    repository_id: number;
+};
+declare type ActionsAddSelectedRepoToOrgSecretRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/actions/secrets/:secret_name/repositories/:repository_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsCancelWorkflowRunEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+};
+declare type ActionsCancelWorkflowRunRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/actions/runs/:run_id/cancel";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsCreateOrUpdateOrgSecretEndpoint = {
+    org: string;
+    secret_name: string;
+    /**
+     * Value for your secret, encrypted with [LibSodium](https://libsodium.gitbook.io/doc/bindings_for_other_languages) using the public key retrieved from the [Get an organization public key](https://developer.github.com/v3/actions/secrets/#get-an-organization-public-key) endpoint.
+     */
+    encrypted_value?: string;
+    /**
+     * ID of the key you used to encrypt the secret.
+     */
+    key_id?: string;
+    /**
+     * Configures the access that repositories have to the organization secret. Can be one of:
+     * \- `all` - All repositories in an organization can access the secret.
+     * \- `private` - Private repositories in an organization can access the secret.
+     * \- `selected` - Only specific repositories can access the secret.
+     */
+    visibility?: "all" | "private" | "selected";
+    /**
+     * An array of repository ids that can access the organization secret. You can only provide a list of repository ids when the `visibility` is set to `selected`. You can manage the list of selected repositories using the [List selected repositories for an organization secret](https://developer.github.com/v3/actions/secrets/#list-selected-repositories-for-an-organization-secret), [Set selected repositories for an organization secret](https://developer.github.com/v3/actions/secrets/#set-selected-repositories-for-an-organization-secret), and [Remove selected repository from an organization secret](https://developer.github.com/v3/actions/secrets/#remove-selected-repository-from-an-organization-secret) endpoints.
+     */
+    selected_repository_ids?: number[];
+};
+declare type ActionsCreateOrUpdateOrgSecretRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/actions/secrets/:secret_name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsCreateOrUpdateRepoSecretEndpoint = {
+    owner: string;
+    repo: string;
+    secret_name: string;
+    /**
+     * Value for your secret, encrypted with [LibSodium](https://libsodium.gitbook.io/doc/bindings_for_other_languages) using the public key retrieved from the [Get a repository public key](https://developer.github.com/v3/actions/secrets/#get-a-repository-public-key) endpoint.
+     */
+    encrypted_value?: string;
+    /**
+     * ID of the key you used to encrypt the secret.
+     */
+    key_id?: string;
+};
+declare type ActionsCreateOrUpdateRepoSecretRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/actions/secrets/:secret_name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsCreateRegistrationTokenForOrgEndpoint = {
+    org: string;
+};
+declare type ActionsCreateRegistrationTokenForOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/actions/runners/registration-token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsCreateRegistrationTokenForOrgResponseData {
+    token: string;
+    expires_at: string;
+}
+declare type ActionsCreateRegistrationTokenForRepoEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActionsCreateRegistrationTokenForRepoRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/actions/runners/registration-token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsCreateRegistrationTokenForRepoResponseData {
+    token: string;
+    expires_at: string;
+}
+declare type ActionsCreateRemoveTokenForOrgEndpoint = {
+    org: string;
+};
+declare type ActionsCreateRemoveTokenForOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/actions/runners/remove-token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsCreateRemoveTokenForOrgResponseData {
+    token: string;
+    expires_at: string;
+}
+declare type ActionsCreateRemoveTokenForRepoEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActionsCreateRemoveTokenForRepoRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/actions/runners/remove-token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsCreateRemoveTokenForRepoResponseData {
+    token: string;
+    expires_at: string;
+}
+declare type ActionsCreateWorkflowDispatchEndpoint = {
+    owner: string;
+    repo: string;
+    workflow_id: number;
+    /**
+     * The reference of the workflow run. The reference can be a branch, tag, or a commit SHA.
+     */
+    ref: string;
+    /**
+     * Input keys and values configured in the workflow file. The maximum number of properties is 10.
+     */
+    inputs?: ActionsCreateWorkflowDispatchParamsInputs;
+};
+declare type ActionsCreateWorkflowDispatchRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/actions/workflows/:workflow_id/dispatches";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDeleteArtifactEndpoint = {
+    owner: string;
+    repo: string;
+    artifact_id: number;
+};
+declare type ActionsDeleteArtifactRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/actions/artifacts/:artifact_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDeleteOrgSecretEndpoint = {
+    org: string;
+    secret_name: string;
+};
+declare type ActionsDeleteOrgSecretRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/actions/secrets/:secret_name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDeleteRepoSecretEndpoint = {
+    owner: string;
+    repo: string;
+    secret_name: string;
+};
+declare type ActionsDeleteRepoSecretRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/actions/secrets/:secret_name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDeleteSelfHostedRunnerFromOrgEndpoint = {
+    org: string;
+    runner_id: number;
+};
+declare type ActionsDeleteSelfHostedRunnerFromOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/actions/runners/:runner_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDeleteSelfHostedRunnerFromRepoEndpoint = {
+    owner: string;
+    repo: string;
+    runner_id: number;
+};
+declare type ActionsDeleteSelfHostedRunnerFromRepoRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/actions/runners/:runner_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDeleteWorkflowRunEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+};
+declare type ActionsDeleteWorkflowRunRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/actions/runs/:run_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDeleteWorkflowRunLogsEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+};
+declare type ActionsDeleteWorkflowRunLogsRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/actions/runs/:run_id/logs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDownloadArtifactEndpoint = {
+    owner: string;
+    repo: string;
+    artifact_id: number;
+    archive_format: string;
+};
+declare type ActionsDownloadArtifactRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/artifacts/:artifact_id/:archive_format";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDownloadJobLogsForWorkflowRunEndpoint = {
+    owner: string;
+    repo: string;
+    job_id: number;
+};
+declare type ActionsDownloadJobLogsForWorkflowRunRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/jobs/:job_id/logs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsDownloadWorkflowRunLogsEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+};
+declare type ActionsDownloadWorkflowRunLogsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runs/:run_id/logs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsGetArtifactEndpoint = {
+    owner: string;
+    repo: string;
+    artifact_id: number;
+};
+declare type ActionsGetArtifactRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/artifacts/:artifact_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetArtifactResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    size_in_bytes: number;
+    url: string;
+    archive_download_url: string;
+    expired: boolean;
+    created_at: string;
+    expires_at: string;
+}
+declare type ActionsGetJobForWorkflowRunEndpoint = {
+    owner: string;
+    repo: string;
+    job_id: number;
+};
+declare type ActionsGetJobForWorkflowRunRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/jobs/:job_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetJobForWorkflowRunResponseData {
+    id: number;
+    run_id: number;
+    run_url: string;
+    node_id: string;
+    head_sha: string;
+    url: string;
+    html_url: string;
+    status: string;
+    conclusion: string;
+    started_at: string;
+    completed_at: string;
+    name: string;
+    steps: {
+        name: string;
+        status: string;
+        conclusion: string;
+        number: number;
+        started_at: string;
+        completed_at: string;
+    }[];
+    check_run_url: string;
+}
+declare type ActionsGetOrgPublicKeyEndpoint = {
+    org: string;
+};
+declare type ActionsGetOrgPublicKeyRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/actions/secrets/public-key";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetOrgPublicKeyResponseData {
+    key_id: string;
+    key: string;
+}
+declare type ActionsGetOrgSecretEndpoint = {
+    org: string;
+    secret_name: string;
+};
+declare type ActionsGetOrgSecretRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/actions/secrets/:secret_name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetOrgSecretResponseData {
+    name: string;
+    created_at: string;
+    updated_at: string;
+    visibility: string;
+    selected_repositories_url: string;
+}
+declare type ActionsGetRepoPublicKeyEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActionsGetRepoPublicKeyRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/secrets/public-key";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetRepoPublicKeyResponseData {
+    key_id: string;
+    key: string;
+}
+declare type ActionsGetRepoSecretEndpoint = {
+    owner: string;
+    repo: string;
+    secret_name: string;
+};
+declare type ActionsGetRepoSecretRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/secrets/:secret_name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetRepoSecretResponseData {
+    name: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type ActionsGetSelfHostedRunnerForOrgEndpoint = {
+    org: string;
+    runner_id: number;
+};
+declare type ActionsGetSelfHostedRunnerForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/actions/runners/:runner_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetSelfHostedRunnerForOrgResponseData {
+    id: number;
+    name: string;
+    os: string;
+    status: string;
+    busy: boolean;
+}
+declare type ActionsGetSelfHostedRunnerForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    runner_id: number;
+};
+declare type ActionsGetSelfHostedRunnerForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runners/:runner_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetSelfHostedRunnerForRepoResponseData {
+    id: number;
+    name: string;
+    os: string;
+    status: string;
+    busy: boolean;
+}
+declare type ActionsGetWorkflowEndpoint = {
+    owner: string;
+    repo: string;
+    workflow_id: number;
+};
+declare type ActionsGetWorkflowRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/workflows/:workflow_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetWorkflowResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    path: string;
+    state: string;
+    created_at: string;
+    updated_at: string;
+    url: string;
+    html_url: string;
+    badge_url: string;
+}
+declare type ActionsGetWorkflowRunEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+};
+declare type ActionsGetWorkflowRunRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runs/:run_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetWorkflowRunResponseData {
+    id: number;
+    node_id: string;
+    head_branch: string;
+    head_sha: string;
+    run_number: number;
+    event: string;
+    status: string;
+    conclusion: string;
+    workflow_id: number;
+    url: string;
+    html_url: string;
+    pull_requests: unknown[];
+    created_at: string;
+    updated_at: string;
+    jobs_url: string;
+    logs_url: string;
+    check_suite_url: string;
+    artifacts_url: string;
+    cancel_url: string;
+    rerun_url: string;
+    workflow_url: string;
+    head_commit: {
+        id: string;
+        tree_id: string;
+        message: string;
+        timestamp: string;
+        author: {
+            name: string;
+            email: string;
+        };
+        committer: {
+            name: string;
+            email: string;
+        };
+    };
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    head_repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        private: boolean;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        forks_url: string;
+        keys_url: string;
+        collaborators_url: string;
+        teams_url: string;
+        hooks_url: string;
+        issue_events_url: string;
+        events_url: string;
+        assignees_url: string;
+        branches_url: string;
+        tags_url: string;
+        blobs_url: string;
+        git_tags_url: string;
+        git_refs_url: string;
+        trees_url: string;
+        statuses_url: string;
+        languages_url: string;
+        stargazers_url: string;
+        contributors_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        commits_url: string;
+        git_commits_url: string;
+        comments_url: string;
+        issue_comment_url: string;
+        contents_url: string;
+        compare_url: string;
+        merges_url: string;
+        archive_url: string;
+        downloads_url: string;
+        issues_url: string;
+        pulls_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        labels_url: string;
+        releases_url: string;
+        deployments_url: string;
+    };
+}
+declare type ActionsGetWorkflowRunUsageEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+};
+declare type ActionsGetWorkflowRunUsageRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runs/:run_id/timing";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetWorkflowRunUsageResponseData {
+    billable: {
+        UBUNTU: {
+            total_ms: number;
+            jobs: number;
+        };
+        MACOS: {
+            total_ms: number;
+            jobs: number;
+        };
+        WINDOWS: {
+            total_ms: number;
+            jobs: number;
+        };
+    };
+    run_duration_ms: number;
+}
+declare type ActionsGetWorkflowUsageEndpoint = {
+    owner: string;
+    repo: string;
+    workflow_id: number;
+};
+declare type ActionsGetWorkflowUsageRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/workflows/:workflow_id/timing";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsGetWorkflowUsageResponseData {
+    billable: {
+        UBUNTU: {
+            total_ms: number;
+        };
+        MACOS: {
+            total_ms: number;
+        };
+        WINDOWS: {
+            total_ms: number;
+        };
+    };
+}
+declare type ActionsListArtifactsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListArtifactsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/artifacts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListArtifactsForRepoResponseData {
+    total_count: number;
+    artifacts: {
+        id: number;
+        node_id: string;
+        name: string;
+        size_in_bytes: number;
+        url: string;
+        archive_download_url: string;
+        expired: boolean;
+        created_at: string;
+        expires_at: string;
+    }[];
+}
+declare type ActionsListJobsForWorkflowRunEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+    /**
+     * Filters jobs by their `completed_at` timestamp. Can be one of:
+     * \* `latest`: Returns jobs from the most recent execution of the workflow run.
+     * \* `all`: Returns all jobs for a workflow run, including from old executions of the workflow run.
+     */
+    filter?: "latest" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListJobsForWorkflowRunRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runs/:run_id/jobs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListJobsForWorkflowRunResponseData {
+    total_count: number;
+    jobs: {
+        id: number;
+        run_id: number;
+        run_url: string;
+        node_id: string;
+        head_sha: string;
+        url: string;
+        html_url: string;
+        status: string;
+        conclusion: string;
+        started_at: string;
+        completed_at: string;
+        name: string;
+        steps: {
+            name: string;
+            status: string;
+            conclusion: string;
+            number: number;
+            started_at: string;
+            completed_at: string;
+        }[];
+        check_run_url: string;
+    }[];
+}
+declare type ActionsListOrgSecretsEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListOrgSecretsRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/actions/secrets";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListOrgSecretsResponseData {
+    total_count: number;
+    secrets: {
+        name: string;
+        created_at: string;
+        updated_at: string;
+        visibility: string;
+        selected_repositories_url: string;
+    }[];
+}
+declare type ActionsListRepoSecretsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListRepoSecretsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/secrets";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListRepoSecretsResponseData {
+    total_count: number;
+    secrets: {
+        name: string;
+        created_at: string;
+        updated_at: string;
+    }[];
+}
+declare type ActionsListRepoWorkflowsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListRepoWorkflowsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/workflows";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListRepoWorkflowsResponseData {
+    total_count: number;
+    workflows: {
+        id: number;
+        node_id: string;
+        name: string;
+        path: string;
+        state: string;
+        created_at: string;
+        updated_at: string;
+        url: string;
+        html_url: string;
+        badge_url: string;
+    }[];
+}
+declare type ActionsListRunnerApplicationsForOrgEndpoint = {
+    org: string;
+};
+declare type ActionsListRunnerApplicationsForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/actions/runners/downloads";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActionsListRunnerApplicationsForOrgResponseData = {
+    os: string;
+    architecture: string;
+    download_url: string;
+    filename: string;
+}[];
+declare type ActionsListRunnerApplicationsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActionsListRunnerApplicationsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runners/downloads";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActionsListRunnerApplicationsForRepoResponseData = {
+    os: string;
+    architecture: string;
+    download_url: string;
+    filename: string;
+}[];
+declare type ActionsListSelectedReposForOrgSecretEndpoint = {
+    org: string;
+    secret_name: string;
+};
+declare type ActionsListSelectedReposForOrgSecretRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/actions/secrets/:secret_name/repositories";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListSelectedReposForOrgSecretResponseData {
+    total_count: number;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    }[];
+}
+declare type ActionsListSelfHostedRunnersForOrgEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListSelfHostedRunnersForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/actions/runners";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListSelfHostedRunnersForOrgResponseData {
+    total_count: number;
+    runners: {
+        id: number;
+        name: string;
+        os: string;
+        status: string;
+        busy: boolean;
+    }[];
+}
+declare type ActionsListSelfHostedRunnersForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListSelfHostedRunnersForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runners";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListSelfHostedRunnersForRepoResponseData {
+    total_count: number;
+    runners: {
+        id: number;
+        name: string;
+        os: string;
+        status: string;
+        busy: boolean;
+    }[];
+}
+declare type ActionsListWorkflowRunArtifactsEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListWorkflowRunArtifactsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runs/:run_id/artifacts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListWorkflowRunArtifactsResponseData {
+    total_count: number;
+    artifacts: {
+        id: number;
+        node_id: string;
+        name: string;
+        size_in_bytes: number;
+        url: string;
+        archive_download_url: string;
+        expired: boolean;
+        created_at: string;
+        expires_at: string;
+    }[];
+}
+declare type ActionsListWorkflowRunsEndpoint = {
+    owner: string;
+    repo: string;
+    workflow_id: number;
+    /**
+     * Returns someone's workflow runs. Use the login for the user who created the `push` associated with the check suite or workflow run.
+     */
+    actor?: string;
+    /**
+     * Returns workflow runs associated with a branch. Use the name of the branch of the `push`.
+     */
+    branch?: string;
+    /**
+     * Returns workflow run triggered by the event you specify. For example, `push`, `pull_request` or `issue`. For more information, see "[Events that trigger workflows](https://docs.github.com/en/actions/automating-your-workflow-with-github-actions/events-that-trigger-workflows)."
+     */
+    event?: string;
+    /**
+     * Returns workflow runs associated with the check run `status` or `conclusion` you specify. For example, a conclusion can be `success` or a status can be `completed`. For more information, see the `status` and `conclusion` options available in "[Create a check run](https://developer.github.com/v3/checks/runs/#create-a-check-run)."
+     */
+    status?: "completed" | "status" | "conclusion";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListWorkflowRunsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/workflows/:workflow_id/runs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListWorkflowRunsResponseData {
+    total_count: number;
+    workflow_runs: {
+        id: number;
+        node_id: string;
+        head_branch: string;
+        head_sha: string;
+        run_number: number;
+        event: string;
+        status: string;
+        conclusion: string;
+        workflow_id: number;
+        url: string;
+        html_url: string;
+        pull_requests: unknown[];
+        created_at: string;
+        updated_at: string;
+        jobs_url: string;
+        logs_url: string;
+        check_suite_url: string;
+        artifacts_url: string;
+        cancel_url: string;
+        rerun_url: string;
+        workflow_url: string;
+        head_commit: {
+            id: string;
+            tree_id: string;
+            message: string;
+            timestamp: string;
+            author: {
+                name: string;
+                email: string;
+            };
+            committer: {
+                name: string;
+                email: string;
+            };
+        };
+        repository: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+        };
+        head_repository: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            private: boolean;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            forks_url: string;
+            keys_url: string;
+            collaborators_url: string;
+            teams_url: string;
+            hooks_url: string;
+            issue_events_url: string;
+            events_url: string;
+            assignees_url: string;
+            branches_url: string;
+            tags_url: string;
+            blobs_url: string;
+            git_tags_url: string;
+            git_refs_url: string;
+            trees_url: string;
+            statuses_url: string;
+            languages_url: string;
+            stargazers_url: string;
+            contributors_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            commits_url: string;
+            git_commits_url: string;
+            comments_url: string;
+            issue_comment_url: string;
+            contents_url: string;
+            compare_url: string;
+            merges_url: string;
+            archive_url: string;
+            downloads_url: string;
+            issues_url: string;
+            pulls_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            labels_url: string;
+            releases_url: string;
+            deployments_url: string;
+        };
+    }[];
+}
+declare type ActionsListWorkflowRunsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Returns someone's workflow runs. Use the login for the user who created the `push` associated with the check suite or workflow run.
+     */
+    actor?: string;
+    /**
+     * Returns workflow runs associated with a branch. Use the name of the branch of the `push`.
+     */
+    branch?: string;
+    /**
+     * Returns workflow run triggered by the event you specify. For example, `push`, `pull_request` or `issue`. For more information, see "[Events that trigger workflows](https://docs.github.com/en/actions/automating-your-workflow-with-github-actions/events-that-trigger-workflows)."
+     */
+    event?: string;
+    /**
+     * Returns workflow runs associated with the check run `status` or `conclusion` you specify. For example, a conclusion can be `success` or a status can be `completed`. For more information, see the `status` and `conclusion` options available in "[Create a check run](https://developer.github.com/v3/checks/runs/#create-a-check-run)."
+     */
+    status?: "completed" | "status" | "conclusion";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActionsListWorkflowRunsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/actions/runs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActionsListWorkflowRunsForRepoResponseData {
+    total_count: number;
+    workflow_runs: {
+        id: number;
+        node_id: string;
+        head_branch: string;
+        head_sha: string;
+        run_number: number;
+        event: string;
+        status: string;
+        conclusion: string;
+        workflow_id: number;
+        url: string;
+        html_url: string;
+        pull_requests: unknown[];
+        created_at: string;
+        updated_at: string;
+        jobs_url: string;
+        logs_url: string;
+        check_suite_url: string;
+        artifacts_url: string;
+        cancel_url: string;
+        rerun_url: string;
+        workflow_url: string;
+        head_commit: {
+            id: string;
+            tree_id: string;
+            message: string;
+            timestamp: string;
+            author: {
+                name: string;
+                email: string;
+            };
+            committer: {
+                name: string;
+                email: string;
+            };
+        };
+        repository: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+        };
+        head_repository: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            private: boolean;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            forks_url: string;
+            keys_url: string;
+            collaborators_url: string;
+            teams_url: string;
+            hooks_url: string;
+            issue_events_url: string;
+            events_url: string;
+            assignees_url: string;
+            branches_url: string;
+            tags_url: string;
+            blobs_url: string;
+            git_tags_url: string;
+            git_refs_url: string;
+            trees_url: string;
+            statuses_url: string;
+            languages_url: string;
+            stargazers_url: string;
+            contributors_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            commits_url: string;
+            git_commits_url: string;
+            comments_url: string;
+            issue_comment_url: string;
+            contents_url: string;
+            compare_url: string;
+            merges_url: string;
+            archive_url: string;
+            downloads_url: string;
+            issues_url: string;
+            pulls_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            labels_url: string;
+            releases_url: string;
+            deployments_url: string;
+        };
+    }[];
+}
+declare type ActionsReRunWorkflowEndpoint = {
+    owner: string;
+    repo: string;
+    run_id: number;
+};
+declare type ActionsReRunWorkflowRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/actions/runs/:run_id/rerun";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsRemoveSelectedRepoFromOrgSecretEndpoint = {
+    org: string;
+    secret_name: string;
+    repository_id: number;
+};
+declare type ActionsRemoveSelectedRepoFromOrgSecretRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/actions/secrets/:secret_name/repositories/:repository_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActionsSetSelectedReposForOrgSecretEndpoint = {
+    org: string;
+    secret_name: string;
+    /**
+     * An array of repository ids that can access the organization secret. You can only provide a list of repository ids when the `visibility` is set to `selected`. You can add and remove individual repositories using the [Set selected repositories for an organization secret](https://developer.github.com/v3/actions/secrets/#set-selected-repositories-for-an-organization-secret) and [Remove selected repository from an organization secret](https://developer.github.com/v3/actions/secrets/#remove-selected-repository-from-an-organization-secret) endpoints.
+     */
+    selected_repository_ids?: number[];
+};
+declare type ActionsSetSelectedReposForOrgSecretRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/actions/secrets/:secret_name/repositories";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityCheckRepoIsStarredByAuthenticatedUserEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActivityCheckRepoIsStarredByAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/starred/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityDeleteRepoSubscriptionEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActivityDeleteRepoSubscriptionRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/subscription";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityDeleteThreadSubscriptionEndpoint = {
+    thread_id: number;
+};
+declare type ActivityDeleteThreadSubscriptionRequestOptions = {
+    method: "DELETE";
+    url: "/notifications/threads/:thread_id/subscription";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityGetFeedsEndpoint = {};
+declare type ActivityGetFeedsRequestOptions = {
+    method: "GET";
+    url: "/feeds";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActivityGetFeedsResponseData {
+    timeline_url: string;
+    user_url: string;
+    current_user_public_url: string;
+    current_user_url: string;
+    current_user_actor_url: string;
+    current_user_organization_url: string;
+    current_user_organization_urls: string[];
+    security_advisories_url: string;
+    _links: {
+        timeline: {
+            href: string;
+            type: string;
+        };
+        user: {
+            href: string;
+            type: string;
+        };
+        current_user_public: {
+            href: string;
+            type: string;
+        };
+        current_user: {
+            href: string;
+            type: string;
+        };
+        current_user_actor: {
+            href: string;
+            type: string;
+        };
+        current_user_organization: {
+            href: string;
+            type: string;
+        };
+        current_user_organizations: {
+            href: string;
+            type: string;
+        }[];
+        security_advisories: {
+            href: string;
+            type: string;
+        };
+    };
+}
+declare type ActivityGetRepoSubscriptionEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActivityGetRepoSubscriptionRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/subscription";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActivityGetRepoSubscriptionResponseData {
+    subscribed: boolean;
+    ignored: boolean;
+    reason: string;
+    created_at: string;
+    url: string;
+    repository_url: string;
+}
+declare type ActivityGetThreadEndpoint = {
+    thread_id: number;
+};
+declare type ActivityGetThreadRequestOptions = {
+    method: "GET";
+    url: "/notifications/threads/:thread_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActivityGetThreadResponseData {
+    id: string;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    subject: {
+        title: string;
+        url: string;
+        latest_comment_url: string;
+        type: string;
+    };
+    reason: string;
+    unread: boolean;
+    updated_at: string;
+    last_read_at: string;
+    url: string;
+}
+declare type ActivityGetThreadSubscriptionForAuthenticatedUserEndpoint = {
+    thread_id: number;
+};
+declare type ActivityGetThreadSubscriptionForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/notifications/threads/:thread_id/subscription";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActivityGetThreadSubscriptionForAuthenticatedUserResponseData {
+    subscribed: boolean;
+    ignored: boolean;
+    reason: string;
+    created_at: string;
+    url: string;
+    thread_url: string;
+}
+declare type ActivityListEventsForAuthenticatedUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListEventsForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListNotificationsForAuthenticatedUserEndpoint = {
+    /**
+     * If `true`, show notifications marked as read.
+     */
+    all?: boolean;
+    /**
+     * If `true`, only shows notifications in which the user is directly participating or mentioned.
+     */
+    participating?: boolean;
+    /**
+     * Only show notifications updated after the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Only show notifications updated before the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    before?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListNotificationsForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/notifications";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActivityListNotificationsForAuthenticatedUserResponseData = {
+    id: string;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    subject: {
+        title: string;
+        url: string;
+        latest_comment_url: string;
+        type: string;
+    };
+    reason: string;
+    unread: boolean;
+    updated_at: string;
+    last_read_at: string;
+    url: string;
+}[];
+declare type ActivityListOrgEventsForAuthenticatedUserEndpoint = {
+    username: string;
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListOrgEventsForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/events/orgs/:org";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListPublicEventsEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListPublicEventsRequestOptions = {
+    method: "GET";
+    url: "/events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListPublicEventsForRepoNetworkEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListPublicEventsForRepoNetworkRequestOptions = {
+    method: "GET";
+    url: "/networks/:owner/:repo/events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListPublicEventsForUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListPublicEventsForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/events/public";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListPublicOrgEventsEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListPublicOrgEventsRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListReceivedEventsForUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListReceivedEventsForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/received_events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListReceivedPublicEventsForUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListReceivedPublicEventsForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/received_events/public";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListRepoEventsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListRepoEventsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityListRepoNotificationsForAuthenticatedUserEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * If `true`, show notifications marked as read.
+     */
+    all?: boolean;
+    /**
+     * If `true`, only shows notifications in which the user is directly participating or mentioned.
+     */
+    participating?: boolean;
+    /**
+     * Only show notifications updated after the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Only show notifications updated before the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    before?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListRepoNotificationsForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/notifications";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActivityListRepoNotificationsForAuthenticatedUserResponseData = {
+    id: string;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    subject: {
+        title: string;
+        url: string;
+        latest_comment_url: string;
+        type: string;
+    };
+    reason: string;
+    unread: boolean;
+    updated_at: string;
+    last_read_at: string;
+    url: string;
+}[];
+declare type ActivityListReposStarredByAuthenticatedUserEndpoint = {
+    /**
+     * One of `created` (when the repository was starred) or `updated` (when it was last pushed to).
+     */
+    sort?: "created" | "updated";
+    /**
+     * One of `asc` (ascending) or `desc` (descending).
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListReposStarredByAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/starred";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActivityListReposStarredByAuthenticatedUserResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+}[];
+export declare type ActivityListReposStarredByAuthenticatedUserResponse200Data = {
+    starred_at: string;
+    repo: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}[];
+declare type ActivityListReposStarredByUserEndpoint = {
+    username: string;
+    /**
+     * One of `created` (when the repository was starred) or `updated` (when it was last pushed to).
+     */
+    sort?: "created" | "updated";
+    /**
+     * One of `asc` (ascending) or `desc` (descending).
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListReposStarredByUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/starred";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActivityListReposStarredByUserResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+}[];
+export declare type ActivityListReposStarredByUserResponse200Data = {
+    starred_at: string;
+    repo: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}[];
+declare type ActivityListReposWatchedByUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListReposWatchedByUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/subscriptions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActivityListReposWatchedByUserResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    delete_branch_on_merge: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}[];
+declare type ActivityListStargazersForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListStargazersForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/stargazers";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActivityListStargazersForRepoResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+export declare type ActivityListStargazersForRepoResponse200Data = {
+    starred_at: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}[];
+declare type ActivityListWatchedReposForAuthenticatedUserEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListWatchedReposForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/subscriptions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActivityListWatchedReposForAuthenticatedUserResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    delete_branch_on_merge: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}[];
+declare type ActivityListWatchersForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ActivityListWatchersForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/subscribers";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ActivityListWatchersForRepoResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type ActivityMarkNotificationsAsReadEndpoint = {
+    /**
+     * Describes the last point that notifications were checked. Anything updated since this time will not be marked as read. If you omit this parameter, all notifications are marked as read. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Default: The current timestamp.
+     */
+    last_read_at?: string;
+};
+declare type ActivityMarkNotificationsAsReadRequestOptions = {
+    method: "PUT";
+    url: "/notifications";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityMarkRepoNotificationsAsReadEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Describes the last point that notifications were checked. Anything updated since this time will not be marked as read. If you omit this parameter, all notifications are marked as read. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Default: The current timestamp.
+     */
+    last_read_at?: string;
+};
+declare type ActivityMarkRepoNotificationsAsReadRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/notifications";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityMarkThreadAsReadEndpoint = {
+    thread_id: number;
+};
+declare type ActivityMarkThreadAsReadRequestOptions = {
+    method: "PATCH";
+    url: "/notifications/threads/:thread_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivitySetRepoSubscriptionEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Determines if notifications should be received from this repository.
+     */
+    subscribed?: boolean;
+    /**
+     * Determines if all notifications should be blocked from this repository.
+     */
+    ignored?: boolean;
+};
+declare type ActivitySetRepoSubscriptionRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/subscription";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActivitySetRepoSubscriptionResponseData {
+    subscribed: boolean;
+    ignored: boolean;
+    reason: string;
+    created_at: string;
+    url: string;
+    repository_url: string;
+}
+declare type ActivitySetThreadSubscriptionEndpoint = {
+    thread_id: number;
+    /**
+     * Unsubscribes and subscribes you to a conversation. Set `ignored` to `true` to block all notifications from this thread.
+     */
+    ignored?: boolean;
+};
+declare type ActivitySetThreadSubscriptionRequestOptions = {
+    method: "PUT";
+    url: "/notifications/threads/:thread_id/subscription";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ActivitySetThreadSubscriptionResponseData {
+    subscribed: boolean;
+    ignored: boolean;
+    reason: string;
+    created_at: string;
+    url: string;
+    thread_url: string;
+}
+declare type ActivityStarRepoForAuthenticatedUserEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActivityStarRepoForAuthenticatedUserRequestOptions = {
+    method: "PUT";
+    url: "/user/starred/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ActivityUnstarRepoForAuthenticatedUserEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ActivityUnstarRepoForAuthenticatedUserRequestOptions = {
+    method: "DELETE";
+    url: "/user/starred/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsAddRepoToInstallationEndpoint = {
+    installation_id: number;
+    repository_id: number;
+} & RequiredPreview<"machine-man">;
+declare type AppsAddRepoToInstallationRequestOptions = {
+    method: "PUT";
+    url: "/user/installations/:installation_id/repositories/:repository_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsCheckAuthorizationEndpoint = {
+    client_id: string;
+    access_token: string;
+};
+declare type AppsCheckAuthorizationRequestOptions = {
+    method: "GET";
+    url: "/applications/:client_id/tokens/:access_token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsCheckAuthorizationResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type AppsCheckTokenEndpoint = {
+    client_id: string;
+    /**
+     * The OAuth access token used to authenticate to the GitHub API.
+     */
+    access_token?: string;
+};
+declare type AppsCheckTokenRequestOptions = {
+    method: "POST";
+    url: "/applications/:client_id/token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsCheckTokenResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type AppsCreateContentAttachmentEndpoint = {
+    content_reference_id: number;
+    /**
+     * The title of the content attachment displayed in the body or comment of an issue or pull request.
+     */
+    title: string;
+    /**
+     * The body text of the content attachment displayed in the body or comment of an issue or pull request. This parameter supports markdown.
+     */
+    body: string;
+} & RequiredPreview<"corsair">;
+declare type AppsCreateContentAttachmentRequestOptions = {
+    method: "POST";
+    url: "/content_references/:content_reference_id/attachments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsCreateContentAttachmentResponseData {
+    id: number;
+    title: string;
+    body: string;
+}
+declare type AppsCreateFromManifestEndpoint = {
+    code: string;
+};
+declare type AppsCreateFromManifestRequestOptions = {
+    method: "POST";
+    url: "/app-manifests/:code/conversions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsCreateFromManifestResponseData {
+    id: number;
+    node_id: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    name: string;
+    description: string;
+    external_url: string;
+    html_url: string;
+    created_at: string;
+    updated_at: string;
+    client_id: string;
+    client_secret: string;
+    webhook_secret: string;
+    pem: string;
+}
+declare type AppsCreateInstallationAccessTokenEndpoint = {
+    installation_id: number;
+    /**
+     * The `id`s of the repositories that the installation token can access. Providing repository `id`s restricts the access of an installation token to specific repositories. You can use the "[List repositories accessible to the app installation](https://developer.github.com/v3/apps/installations/#list-repositories-accessible-to-the-app-installation)" endpoint to get the `id` of all repositories that an installation can access. For example, you can select specific repositories when creating an installation token to restrict the number of repositories that can be cloned using the token.
+     */
+    repository_ids?: number[];
+    /**
+     * The permissions granted to the access token. The permissions object includes the permission names and their access type. For a complete list of permissions and allowable values, see "[GitHub App permissions](https://developer.github.com/apps/building-github-apps/creating-github-apps-using-url-parameters/#github-app-permissions)."
+     */
+    permissions?: AppsCreateInstallationAccessTokenParamsPermissions;
+} & RequiredPreview<"machine-man">;
+declare type AppsCreateInstallationAccessTokenRequestOptions = {
+    method: "POST";
+    url: "/app/installations/:installation_id/access_tokens";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsCreateInstallationAccessTokenResponseData {
+    token: string;
+    expires_at: string;
+    permissions: {
+        issues: string;
+        contents: string;
+    };
+    repository_selection: "all" | "selected";
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+}
+declare type AppsDeleteAuthorizationEndpoint = {
+    client_id: string;
+    /**
+     * The OAuth access token used to authenticate to the GitHub API.
+     */
+    access_token?: string;
+};
+declare type AppsDeleteAuthorizationRequestOptions = {
+    method: "DELETE";
+    url: "/applications/:client_id/grant";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsDeleteInstallationEndpoint = {
+    installation_id: number;
+} & RequiredPreview<"machine-man">;
+declare type AppsDeleteInstallationRequestOptions = {
+    method: "DELETE";
+    url: "/app/installations/:installation_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsDeleteTokenEndpoint = {
+    client_id: string;
+    /**
+     * The OAuth access token used to authenticate to the GitHub API.
+     */
+    access_token?: string;
+};
+declare type AppsDeleteTokenRequestOptions = {
+    method: "DELETE";
+    url: "/applications/:client_id/token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsGetAuthenticatedEndpoint = {} & RequiredPreview<"machine-man">;
+declare type AppsGetAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/app";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsGetAuthenticatedResponseData {
+    id: number;
+    slug: string;
+    node_id: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    name: string;
+    description: string;
+    external_url: string;
+    html_url: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        metadata: string;
+        contents: string;
+        issues: string;
+        single_file: string;
+    };
+    events: string[];
+    installations_count: number;
+}
+declare type AppsGetBySlugEndpoint = {
+    app_slug: string;
+} & RequiredPreview<"machine-man">;
+declare type AppsGetBySlugRequestOptions = {
+    method: "GET";
+    url: "/apps/:app_slug";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsGetBySlugResponseData {
+    id: number;
+    slug: string;
+    node_id: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    name: string;
+    description: string;
+    external_url: string;
+    html_url: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        metadata: string;
+        contents: string;
+        issues: string;
+        single_file: string;
+    };
+    events: string[];
+}
+declare type AppsGetInstallationEndpoint = {
+    installation_id: number;
+} & RequiredPreview<"machine-man">;
+declare type AppsGetInstallationRequestOptions = {
+    method: "GET";
+    url: "/app/installations/:installation_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsGetInstallationResponseData {
+    id: number;
+    account: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    access_tokens_url: string;
+    repositories_url: string;
+    html_url: string;
+    app_id: number;
+    target_id: number;
+    target_type: string;
+    permissions: {
+        checks: string;
+        metadata: string;
+        contents: string;
+    };
+    events: string[];
+    single_file_name: string;
+    repository_selection: "all" | "selected";
+}
+declare type AppsGetOrgInstallationEndpoint = {
+    org: string;
+} & RequiredPreview<"machine-man">;
+declare type AppsGetOrgInstallationRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/installation";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsGetOrgInstallationResponseData {
+    id: number;
+    account: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    repository_selection: "all" | "selected";
+    access_tokens_url: string;
+    repositories_url: string;
+    html_url: string;
+    app_id: number;
+    target_id: number;
+    target_type: string;
+    permissions: {
+        checks: string;
+        metadata: string;
+        contents: string;
+    };
+    events: string[];
+    created_at: string;
+    updated_at: string;
+    single_file_name: string;
+}
+declare type AppsGetRepoInstallationEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"machine-man">;
+declare type AppsGetRepoInstallationRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/installation";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsGetRepoInstallationResponseData {
+    id: number;
+    account: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    repository_selection: "all" | "selected";
+    access_tokens_url: string;
+    repositories_url: string;
+    html_url: string;
+    app_id: number;
+    target_id: number;
+    target_type: string;
+    permissions: {
+        checks: string;
+        metadata: string;
+        contents: string;
+    };
+    events: string[];
+    created_at: string;
+    updated_at: string;
+    single_file_name: string;
+}
+declare type AppsGetSubscriptionPlanForAccountEndpoint = {
+    account_id: number;
+};
+declare type AppsGetSubscriptionPlanForAccountRequestOptions = {
+    method: "GET";
+    url: "/marketplace_listing/accounts/:account_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsGetSubscriptionPlanForAccountResponseData {
+    url: string;
+    type: string;
+    id: number;
+    login: string;
+    email: string;
+    organization_billing_email: string;
+    marketplace_pending_change: {
+        effective_date: string;
+        unit_count: number;
+        id: number;
+        plan: {
+            url: string;
+            accounts_url: string;
+            id: number;
+            number: number;
+            name: string;
+            description: string;
+            monthly_price_in_cents: number;
+            yearly_price_in_cents: number;
+            price_model: string;
+            has_free_trial: boolean;
+            state: string;
+            unit_name: string;
+            bullets: string[];
+        };
+    };
+    marketplace_purchase: {
+        billing_cycle: string;
+        next_billing_date: string;
+        unit_count: number;
+        on_free_trial: boolean;
+        free_trial_ends_on: string;
+        updated_at: string;
+        plan: {
+            url: string;
+            accounts_url: string;
+            id: number;
+            number: number;
+            name: string;
+            description: string;
+            monthly_price_in_cents: number;
+            yearly_price_in_cents: number;
+            price_model: string;
+            has_free_trial: boolean;
+            unit_name: string;
+            state: string;
+            bullets: string[];
+        };
+    };
+}
+declare type AppsGetSubscriptionPlanForAccountStubbedEndpoint = {
+    account_id: number;
+};
+declare type AppsGetSubscriptionPlanForAccountStubbedRequestOptions = {
+    method: "GET";
+    url: "/marketplace_listing/stubbed/accounts/:account_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsGetSubscriptionPlanForAccountStubbedResponseData {
+    url: string;
+    type: string;
+    id: number;
+    login: string;
+    email: string;
+    organization_billing_email: string;
+    marketplace_pending_change: {
+        effective_date: string;
+        unit_count: number;
+        id: number;
+        plan: {
+            url: string;
+            accounts_url: string;
+            id: number;
+            number: number;
+            name: string;
+            description: string;
+            monthly_price_in_cents: number;
+            yearly_price_in_cents: number;
+            price_model: string;
+            has_free_trial: boolean;
+            state: string;
+            unit_name: string;
+            bullets: string[];
+        };
+    };
+    marketplace_purchase: {
+        billing_cycle: string;
+        next_billing_date: string;
+        unit_count: number;
+        on_free_trial: boolean;
+        free_trial_ends_on: string;
+        updated_at: string;
+        plan: {
+            url: string;
+            accounts_url: string;
+            id: number;
+            number: number;
+            name: string;
+            description: string;
+            monthly_price_in_cents: number;
+            yearly_price_in_cents: number;
+            price_model: string;
+            has_free_trial: boolean;
+            unit_name: string;
+            state: string;
+            bullets: string[];
+        };
+    };
+}
+declare type AppsGetUserInstallationEndpoint = {
+    username: string;
+} & RequiredPreview<"machine-man">;
+declare type AppsGetUserInstallationRequestOptions = {
+    method: "GET";
+    url: "/users/:username/installation";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsGetUserInstallationResponseData {
+    id: number;
+    account: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    repository_selection: "all" | "selected";
+    access_tokens_url: string;
+    repositories_url: string;
+    html_url: string;
+    app_id: number;
+    target_id: number;
+    target_type: string;
+    permissions: {
+        checks: string;
+        metadata: string;
+        contents: string;
+    };
+    events: string[];
+    created_at: string;
+    updated_at: string;
+    single_file_name: string;
+}
+declare type AppsListAccountsForPlanEndpoint = {
+    plan_id: number;
+    /**
+     * Sorts the GitHub accounts by the date they were created or last updated. Can be one of `created` or `updated`.
+     */
+    sort?: "created" | "updated";
+    /**
+     * To return the oldest accounts first, set to `asc`. Can be one of `asc` or `desc`. Ignored without the `sort` parameter.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type AppsListAccountsForPlanRequestOptions = {
+    method: "GET";
+    url: "/marketplace_listing/plans/:plan_id/accounts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type AppsListAccountsForPlanResponseData = {
+    url: string;
+    type: string;
+    id: number;
+    login: string;
+    email: string;
+    organization_billing_email: string;
+    marketplace_pending_change: {
+        effective_date: string;
+        unit_count: number;
+        id: number;
+        plan: {
+            url: string;
+            accounts_url: string;
+            id: number;
+            number: number;
+            name: string;
+            description: string;
+            monthly_price_in_cents: number;
+            yearly_price_in_cents: number;
+            price_model: string;
+            has_free_trial: boolean;
+            state: string;
+            unit_name: string;
+            bullets: string[];
+        };
+    };
+    marketplace_purchase: {
+        billing_cycle: string;
+        next_billing_date: string;
+        unit_count: number;
+        on_free_trial: boolean;
+        free_trial_ends_on: string;
+        updated_at: string;
+        plan: {
+            url: string;
+            accounts_url: string;
+            id: number;
+            number: number;
+            name: string;
+            description: string;
+            monthly_price_in_cents: number;
+            yearly_price_in_cents: number;
+            price_model: string;
+            has_free_trial: boolean;
+            unit_name: string;
+            state: string;
+            bullets: string[];
+        };
+    };
+}[];
+declare type AppsListAccountsForPlanStubbedEndpoint = {
+    plan_id: number;
+    /**
+     * Sorts the GitHub accounts by the date they were created or last updated. Can be one of `created` or `updated`.
+     */
+    sort?: "created" | "updated";
+    /**
+     * To return the oldest accounts first, set to `asc`. Can be one of `asc` or `desc`. Ignored without the `sort` parameter.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type AppsListAccountsForPlanStubbedRequestOptions = {
+    method: "GET";
+    url: "/marketplace_listing/stubbed/plans/:plan_id/accounts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type AppsListAccountsForPlanStubbedResponseData = {
+    url: string;
+    type: string;
+    id: number;
+    login: string;
+    email: string;
+    organization_billing_email: string;
+    marketplace_pending_change: {
+        effective_date: string;
+        unit_count: number;
+        id: number;
+        plan: {
+            url: string;
+            accounts_url: string;
+            id: number;
+            number: number;
+            name: string;
+            description: string;
+            monthly_price_in_cents: number;
+            yearly_price_in_cents: number;
+            price_model: string;
+            has_free_trial: boolean;
+            state: string;
+            unit_name: string;
+            bullets: string[];
+        };
+    };
+    marketplace_purchase: {
+        billing_cycle: string;
+        next_billing_date: string;
+        unit_count: number;
+        on_free_trial: boolean;
+        free_trial_ends_on: string;
+        updated_at: string;
+        plan: {
+            url: string;
+            accounts_url: string;
+            id: number;
+            number: number;
+            name: string;
+            description: string;
+            monthly_price_in_cents: number;
+            yearly_price_in_cents: number;
+            price_model: string;
+            has_free_trial: boolean;
+            unit_name: string;
+            state: string;
+            bullets: string[];
+        };
+    };
+}[];
+declare type AppsListInstallationReposForAuthenticatedUserEndpoint = {
+    installation_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"machine-man">;
+declare type AppsListInstallationReposForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/installations/:installation_id/repositories";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsListInstallationReposForAuthenticatedUserResponseData {
+    total_count: number;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+}
+declare type AppsListInstallationsEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"machine-man">;
+declare type AppsListInstallationsRequestOptions = {
+    method: "GET";
+    url: "/app/installations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type AppsListInstallationsResponseData = {
+    id: number;
+    account: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    access_tokens_url: string;
+    repositories_url: string;
+    html_url: string;
+    app_id: number;
+    target_id: number;
+    target_type: string;
+    permissions: {
+        checks: string;
+        metadata: string;
+        contents: string;
+    };
+    events: string[];
+    single_file_name: string;
+    repository_selection: "all" | "selected";
+}[];
+declare type AppsListInstallationsForAuthenticatedUserEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"machine-man">;
+declare type AppsListInstallationsForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/installations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsListInstallationsForAuthenticatedUserResponseData {
+    total_count: number;
+    installations: {
+        id: number;
+        account: {
+            login: string;
+            id: number;
+            node_id: string;
+            url: string;
+            repos_url: string;
+            events_url: string;
+            hooks_url: string;
+            issues_url: string;
+            members_url: string;
+            public_members_url: string;
+            avatar_url: string;
+            description: string;
+            gravatar_id: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        access_tokens_url: string;
+        repositories_url: string;
+        html_url: string;
+        app_id: number;
+        target_id: number;
+        target_type: string;
+        permissions: {
+            checks: string;
+            metadata: string;
+            contents: string;
+        };
+        events: string[];
+        single_file_name: string;
+    }[];
+}
+declare type AppsListPlansEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type AppsListPlansRequestOptions = {
+    method: "GET";
+    url: "/marketplace_listing/plans";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type AppsListPlansResponseData = {
+    url: string;
+    accounts_url: string;
+    id: number;
+    number: number;
+    name: string;
+    description: string;
+    monthly_price_in_cents: number;
+    yearly_price_in_cents: number;
+    price_model: string;
+    has_free_trial: boolean;
+    unit_name: string;
+    state: string;
+    bullets: string[];
+}[];
+declare type AppsListPlansStubbedEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type AppsListPlansStubbedRequestOptions = {
+    method: "GET";
+    url: "/marketplace_listing/stubbed/plans";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type AppsListPlansStubbedResponseData = {
+    url: string;
+    accounts_url: string;
+    id: number;
+    number: number;
+    name: string;
+    description: string;
+    monthly_price_in_cents: number;
+    yearly_price_in_cents: number;
+    price_model: string;
+    has_free_trial: boolean;
+    unit_name: string;
+    state: string;
+    bullets: string[];
+}[];
+declare type AppsListReposAccessibleToInstallationEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"machine-man">;
+declare type AppsListReposAccessibleToInstallationRequestOptions = {
+    method: "GET";
+    url: "/installation/repositories";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsListReposAccessibleToInstallationResponseData {
+    total_count: number;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+}
+declare type AppsListSubscriptionsForAuthenticatedUserEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type AppsListSubscriptionsForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/marketplace_purchases";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type AppsListSubscriptionsForAuthenticatedUserResponseData = {
+    billing_cycle: string;
+    next_billing_date: string;
+    unit_count: number;
+    on_free_trial: boolean;
+    free_trial_ends_on: string;
+    updated_at: string;
+    account: {
+        login: string;
+        id: number;
+        url: string;
+        email: string;
+        organization_billing_email: string;
+        type: string;
+    };
+    plan: {
+        url: string;
+        accounts_url: string;
+        id: number;
+        number: number;
+        name: string;
+        description: string;
+        monthly_price_in_cents: number;
+        yearly_price_in_cents: number;
+        price_model: string;
+        has_free_trial: boolean;
+        unit_name: string;
+        state: string;
+        bullets: string[];
+    };
+}[];
+declare type AppsListSubscriptionsForAuthenticatedUserStubbedEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type AppsListSubscriptionsForAuthenticatedUserStubbedRequestOptions = {
+    method: "GET";
+    url: "/user/marketplace_purchases/stubbed";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type AppsListSubscriptionsForAuthenticatedUserStubbedResponseData = {
+    billing_cycle: string;
+    next_billing_date: string;
+    unit_count: number;
+    on_free_trial: boolean;
+    free_trial_ends_on: string;
+    updated_at: string;
+    account: {
+        login: string;
+        id: number;
+        url: string;
+        email: string;
+        organization_billing_email: string;
+        type: string;
+    };
+    plan: {
+        url: string;
+        accounts_url: string;
+        id: number;
+        number: number;
+        name: string;
+        description: string;
+        monthly_price_in_cents: number;
+        yearly_price_in_cents: number;
+        price_model: string;
+        has_free_trial: boolean;
+        unit_name: string;
+        state: string;
+        bullets: string[];
+    };
+}[];
+declare type AppsRemoveRepoFromInstallationEndpoint = {
+    installation_id: number;
+    repository_id: number;
+} & RequiredPreview<"machine-man">;
+declare type AppsRemoveRepoFromInstallationRequestOptions = {
+    method: "DELETE";
+    url: "/user/installations/:installation_id/repositories/:repository_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsResetAuthorizationEndpoint = {
+    client_id: string;
+    access_token: string;
+};
+declare type AppsResetAuthorizationRequestOptions = {
+    method: "POST";
+    url: "/applications/:client_id/tokens/:access_token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsResetAuthorizationResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type AppsResetTokenEndpoint = {
+    client_id: string;
+    /**
+     * The OAuth access token used to authenticate to the GitHub API.
+     */
+    access_token?: string;
+};
+declare type AppsResetTokenRequestOptions = {
+    method: "PATCH";
+    url: "/applications/:client_id/token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface AppsResetTokenResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type AppsRevokeAuthorizationForApplicationEndpoint = {
+    client_id: string;
+    access_token: string;
+};
+declare type AppsRevokeAuthorizationForApplicationRequestOptions = {
+    method: "DELETE";
+    url: "/applications/:client_id/tokens/:access_token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsRevokeGrantForApplicationEndpoint = {
+    client_id: string;
+    access_token: string;
+};
+declare type AppsRevokeGrantForApplicationRequestOptions = {
+    method: "DELETE";
+    url: "/applications/:client_id/grants/:access_token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsRevokeInstallationAccessTokenEndpoint = {};
+declare type AppsRevokeInstallationAccessTokenRequestOptions = {
+    method: "DELETE";
+    url: "/installation/token";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsSuspendInstallationEndpoint = {
+    installation_id: number;
+};
+declare type AppsSuspendInstallationRequestOptions = {
+    method: "PUT";
+    url: "/app/installations/:installation_id/suspended";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type AppsUnsuspendInstallationEndpoint = {
+    installation_id: number;
+};
+declare type AppsUnsuspendInstallationRequestOptions = {
+    method: "DELETE";
+    url: "/app/installations/:installation_id/suspended";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type BillingGetGithubActionsBillingGheEndpoint = {
+    /**
+     * Unique identifier of the GitHub Enterprise Cloud instance.
+     */
+    enterprise_id: number;
+};
+declare type BillingGetGithubActionsBillingGheRequestOptions = {
+    method: "GET";
+    url: "/enterprises/:enterprise_id/settings/billing/actions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetGithubActionsBillingGheResponseData {
+    /**
+     * The sum of the free and paid GitHub Actions minutes used.
+     */
+    total_minutes_used: number;
+    /**
+     * The total paid GitHub Actions minutes used.
+     */
+    total_paid_minutes_used: number;
+    /**
+     * The amount of free GitHub Actions minutes available.
+     */
+    included_minutes: number;
+    minutes_used_breakdown: {
+        /**
+         * Total minutes used on Ubuntu runner machines.
+         */
+        UBUNTU: number;
+        /**
+         * Total minutes used on macOS runner machines.
+         */
+        MACOS: number;
+        /**
+         * Total minutes used on Windows runner machines.
+         */
+        WINDOWS: number;
+    };
+}
+declare type BillingGetGithubActionsBillingOrgEndpoint = {
+    org: string;
+};
+declare type BillingGetGithubActionsBillingOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/settings/billing/actions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetGithubActionsBillingOrgResponseData {
+    /**
+     * The sum of the free and paid GitHub Actions minutes used.
+     */
+    total_minutes_used: number;
+    /**
+     * The total paid GitHub Actions minutes used.
+     */
+    total_paid_minutes_used: number;
+    /**
+     * The amount of free GitHub Actions minutes available.
+     */
+    included_minutes: number;
+    minutes_used_breakdown: {
+        /**
+         * Total minutes used on Ubuntu runner machines.
+         */
+        UBUNTU: number;
+        /**
+         * Total minutes used on macOS runner machines.
+         */
+        MACOS: number;
+        /**
+         * Total minutes used on Windows runner machines.
+         */
+        WINDOWS: number;
+    };
+}
+declare type BillingGetGithubActionsBillingUserEndpoint = {
+    username: string;
+};
+declare type BillingGetGithubActionsBillingUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/settings/billing/actions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetGithubActionsBillingUserResponseData {
+    /**
+     * The sum of the free and paid GitHub Actions minutes used.
+     */
+    total_minutes_used: number;
+    /**
+     * The total paid GitHub Actions minutes used.
+     */
+    total_paid_minutes_used: number;
+    /**
+     * The amount of free GitHub Actions minutes available.
+     */
+    included_minutes: number;
+    minutes_used_breakdown: {
+        /**
+         * Total minutes used on Ubuntu runner machines.
+         */
+        UBUNTU: number;
+        /**
+         * Total minutes used on macOS runner machines.
+         */
+        MACOS: number;
+        /**
+         * Total minutes used on Windows runner machines.
+         */
+        WINDOWS: number;
+    };
+}
+declare type BillingGetGithubPackagesBillingGheEndpoint = {
+    /**
+     * Unique identifier of the GitHub Enterprise Cloud instance.
+     */
+    enterprise_id: number;
+};
+declare type BillingGetGithubPackagesBillingGheRequestOptions = {
+    method: "GET";
+    url: "/enterprises/:enterprise_id/settings/billing/packages";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetGithubPackagesBillingGheResponseData {
+    /**
+     * Sum of the free and paid storage space (GB) for GitHuub Packages.
+     */
+    total_gigabytes_bandwidth_used: number;
+    /**
+     * Total paid storage space (GB) for GitHuub Packages.
+     */
+    total_paid_gigabytes_bandwidth_used: number;
+    /**
+     * Free storage space (GB) for GitHub Packages.
+     */
+    included_gigabytes_bandwidth: number;
+}
+declare type BillingGetGithubPackagesBillingOrgEndpoint = {
+    org: string;
+};
+declare type BillingGetGithubPackagesBillingOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/settings/billing/packages";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetGithubPackagesBillingOrgResponseData {
+    /**
+     * Sum of the free and paid storage space (GB) for GitHuub Packages.
+     */
+    total_gigabytes_bandwidth_used: number;
+    /**
+     * Total paid storage space (GB) for GitHuub Packages.
+     */
+    total_paid_gigabytes_bandwidth_used: number;
+    /**
+     * Free storage space (GB) for GitHub Packages.
+     */
+    included_gigabytes_bandwidth: number;
+}
+declare type BillingGetGithubPackagesBillingUserEndpoint = {
+    username: string;
+};
+declare type BillingGetGithubPackagesBillingUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/settings/billing/packages";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetGithubPackagesBillingUserResponseData {
+    /**
+     * Sum of the free and paid storage space (GB) for GitHuub Packages.
+     */
+    total_gigabytes_bandwidth_used: number;
+    /**
+     * Total paid storage space (GB) for GitHuub Packages.
+     */
+    total_paid_gigabytes_bandwidth_used: number;
+    /**
+     * Free storage space (GB) for GitHub Packages.
+     */
+    included_gigabytes_bandwidth: number;
+}
+declare type BillingGetSharedStorageBillingGheEndpoint = {
+    /**
+     * Unique identifier of the GitHub Enterprise Cloud instance.
+     */
+    enterprise_id: number;
+};
+declare type BillingGetSharedStorageBillingGheRequestOptions = {
+    method: "GET";
+    url: "/enterprises/:enterprise_id/settings/billing/shared-storage";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetSharedStorageBillingGheResponseData {
+    /**
+     * Numbers of days left in billing cycle.
+     */
+    days_left_in_billing_cycle: number;
+    /**
+     * Estimated storage space (GB) used in billing cycle.
+     */
+    estimated_paid_storage_for_month: number;
+    /**
+     * Estimated sum of free and paid storage space (GB) used in billing cycle.
+     */
+    estimated_storage_for_month: number;
+}
+declare type BillingGetSharedStorageBillingOrgEndpoint = {
+    org: string;
+};
+declare type BillingGetSharedStorageBillingOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/settings/billing/shared-storage";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetSharedStorageBillingOrgResponseData {
+    /**
+     * Numbers of days left in billing cycle.
+     */
+    days_left_in_billing_cycle: number;
+    /**
+     * Estimated storage space (GB) used in billing cycle.
+     */
+    estimated_paid_storage_for_month: number;
+    /**
+     * Estimated sum of free and paid storage space (GB) used in billing cycle.
+     */
+    estimated_storage_for_month: number;
+}
+declare type BillingGetSharedStorageBillingUserEndpoint = {
+    username: string;
+};
+declare type BillingGetSharedStorageBillingUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/settings/billing/shared-storage";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface BillingGetSharedStorageBillingUserResponseData {
+    /**
+     * Numbers of days left in billing cycle.
+     */
+    days_left_in_billing_cycle: number;
+    /**
+     * Estimated storage space (GB) used in billing cycle.
+     */
+    estimated_paid_storage_for_month: number;
+    /**
+     * Estimated sum of free and paid storage space (GB) used in billing cycle.
+     */
+    estimated_storage_for_month: number;
+}
+declare type ChecksCreateEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The name of the check. For example, "code-coverage".
+     */
+    name: string;
+    /**
+     * The SHA of the commit.
+     */
+    head_sha: string;
+    /**
+     * The URL of the integrator's site that has the full details of the check. If the integrator does not provide this, then the homepage of the GitHub app is used.
+     */
+    details_url?: string;
+    /**
+     * A reference for the run on the integrator's system.
+     */
+    external_id?: string;
+    /**
+     * The current status. Can be one of `queued`, `in_progress`, or `completed`.
+     */
+    status?: "queued" | "in_progress" | "completed";
+    /**
+     * The time that the check run began. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    started_at?: string;
+    /**
+     * **Required if you provide `completed_at` or a `status` of `completed`**. The final conclusion of the check. Can be one of `success`, `failure`, `neutral`, `cancelled`, `skipped`, `timed_out`, or `action_required`. When the conclusion is `action_required`, additional details should be provided on the site specified by `details_url`.
+     * **Note:** Providing `conclusion` will automatically set the `status` parameter to `completed`. Only GitHub can change a check run conclusion to `stale`.
+     */
+    conclusion?: "success" | "failure" | "neutral" | "cancelled" | "skipped" | "timed_out" | "action_required";
+    /**
+     * The time the check completed. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    completed_at?: string;
+    /**
+     * Check runs can accept a variety of data in the `output` object, including a `title` and `summary` and can optionally provide descriptive details about the run. See the [`output` object](https://developer.github.com/v3/checks/runs/#output-object) description.
+     */
+    output?: ChecksCreateParamsOutput;
+    /**
+     * Displays a button on GitHub that can be clicked to alert your app to do additional tasks. For example, a code linting app can display a button that automatically fixes detected errors. The button created in this object is displayed after the check run completes. When a user clicks the button, GitHub sends the [`check_run.requested_action` webhook](https://developer.github.com/webhooks/event-payloads/#check_run) to your app. Each action includes a `label`, `identifier` and `description`. A maximum of three actions are accepted. See the [`actions` object](https://developer.github.com/v3/checks/runs/#actions-object) description. To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)." To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)."
+     */
+    actions?: ChecksCreateParamsActions[];
+} & RequiredPreview<"antiope">;
+declare type ChecksCreateRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/check-runs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksCreateResponseData {
+    id: number;
+    head_sha: string;
+    node_id: string;
+    external_id: string;
+    url: string;
+    html_url: string;
+    details_url: string;
+    status: string;
+    conclusion: string;
+    started_at: string;
+    completed_at: string;
+    output: {
+        title: string;
+        summary: string;
+        annotations_url: string;
+        annotations_count: number;
+        text: string;
+    };
+    name: string;
+    check_suite: {
+        id: number;
+    };
+    app: {
+        id: number;
+        slug: string;
+        node_id: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            url: string;
+            repos_url: string;
+            events_url: string;
+            hooks_url: string;
+            issues_url: string;
+            members_url: string;
+            public_members_url: string;
+            avatar_url: string;
+            description: string;
+        };
+        name: string;
+        description: string;
+        external_url: string;
+        html_url: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            metadata: string;
+            contents: string;
+            issues: string;
+            single_file: string;
+        };
+        events: string[];
+    };
+    pull_requests: {
+        url: string;
+        id: number;
+        number: number;
+        head: {
+            ref: string;
+            sha: string;
+            repo: {
+                id: number;
+                url: string;
+                name: string;
+            };
+        };
+        base: {
+            ref: string;
+            sha: string;
+            repo: {
+                id: number;
+                url: string;
+                name: string;
+            };
+        };
+    }[];
+}
+declare type ChecksCreateSuiteEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The sha of the head commit.
+     */
+    head_sha: string;
+} & RequiredPreview<"antiope">;
+declare type ChecksCreateSuiteRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/check-suites";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksCreateSuiteResponseData {
+    id: number;
+    node_id: string;
+    head_branch: string;
+    head_sha: string;
+    status: string;
+    conclusion: string;
+    url: string;
+    before: string;
+    after: string;
+    pull_requests: unknown[];
+    app: {
+        id: number;
+        slug: string;
+        node_id: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            url: string;
+            repos_url: string;
+            events_url: string;
+            hooks_url: string;
+            issues_url: string;
+            members_url: string;
+            public_members_url: string;
+            avatar_url: string;
+            description: string;
+        };
+        name: string;
+        description: string;
+        external_url: string;
+        html_url: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            metadata: string;
+            contents: string;
+            issues: string;
+            single_file: string;
+        };
+        events: string[];
+    };
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}
+declare type ChecksGetEndpoint = {
+    owner: string;
+    repo: string;
+    check_run_id: number;
+} & RequiredPreview<"antiope">;
+declare type ChecksGetRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/check-runs/:check_run_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksGetResponseData {
+    id: number;
+    head_sha: string;
+    node_id: string;
+    external_id: string;
+    url: string;
+    html_url: string;
+    details_url: string;
+    status: string;
+    conclusion: string;
+    started_at: string;
+    completed_at: string;
+    output: {
+        title: string;
+        summary: string;
+        text: string;
+        annotations_count: number;
+        annotations_url: string;
+    };
+    name: string;
+    check_suite: {
+        id: number;
+    };
+    app: {
+        id: number;
+        slug: string;
+        node_id: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            url: string;
+            repos_url: string;
+            events_url: string;
+            hooks_url: string;
+            issues_url: string;
+            members_url: string;
+            public_members_url: string;
+            avatar_url: string;
+            description: string;
+        };
+        name: string;
+        description: string;
+        external_url: string;
+        html_url: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            metadata: string;
+            contents: string;
+            issues: string;
+            single_file: string;
+        };
+        events: string[];
+    };
+    pull_requests: {
+        url: string;
+        id: number;
+        number: number;
+        head: {
+            ref: string;
+            sha: string;
+            repo: {
+                id: number;
+                url: string;
+                name: string;
+            };
+        };
+        base: {
+            ref: string;
+            sha: string;
+            repo: {
+                id: number;
+                url: string;
+                name: string;
+            };
+        };
+    }[];
+}
+declare type ChecksGetSuiteEndpoint = {
+    owner: string;
+    repo: string;
+    check_suite_id: number;
+} & RequiredPreview<"antiope">;
+declare type ChecksGetSuiteRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/check-suites/:check_suite_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksGetSuiteResponseData {
+    id: number;
+    node_id: string;
+    head_branch: string;
+    head_sha: string;
+    status: string;
+    conclusion: string;
+    url: string;
+    before: string;
+    after: string;
+    pull_requests: unknown[];
+    app: {
+        id: number;
+        slug: string;
+        node_id: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            url: string;
+            repos_url: string;
+            events_url: string;
+            hooks_url: string;
+            issues_url: string;
+            members_url: string;
+            public_members_url: string;
+            avatar_url: string;
+            description: string;
+        };
+        name: string;
+        description: string;
+        external_url: string;
+        html_url: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            metadata: string;
+            contents: string;
+            issues: string;
+            single_file: string;
+        };
+        events: string[];
+    };
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}
+declare type ChecksListAnnotationsEndpoint = {
+    owner: string;
+    repo: string;
+    check_run_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"antiope">;
+declare type ChecksListAnnotationsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/check-runs/:check_run_id/annotations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ChecksListAnnotationsResponseData = {
+    path: string;
+    start_line: number;
+    end_line: number;
+    start_column: number;
+    end_column: number;
+    annotation_level: string;
+    title: string;
+    message: string;
+    raw_details: string;
+}[];
+declare type ChecksListForRefEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+    /**
+     * Returns check runs with the specified `name`.
+     */
+    check_name?: string;
+    /**
+     * Returns check runs with the specified `status`. Can be one of `queued`, `in_progress`, or `completed`.
+     */
+    status?: "queued" | "in_progress" | "completed";
+    /**
+     * Filters check runs by their `completed_at` timestamp. Can be one of `latest` (returning the most recent check runs) or `all`.
+     */
+    filter?: "latest" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"antiope">;
+declare type ChecksListForRefRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits/:ref/check-runs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksListForRefResponseData {
+    total_count: number;
+    check_runs: {
+        id: number;
+        head_sha: string;
+        node_id: string;
+        external_id: string;
+        url: string;
+        html_url: string;
+        details_url: string;
+        status: string;
+        conclusion: string;
+        started_at: string;
+        completed_at: string;
+        output: {
+            title: string;
+            summary: string;
+            text: string;
+            annotations_count: number;
+            annotations_url: string;
+        };
+        name: string;
+        check_suite: {
+            id: number;
+        };
+        app: {
+            id: number;
+            slug: string;
+            node_id: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                url: string;
+                repos_url: string;
+                events_url: string;
+                hooks_url: string;
+                issues_url: string;
+                members_url: string;
+                public_members_url: string;
+                avatar_url: string;
+                description: string;
+            };
+            name: string;
+            description: string;
+            external_url: string;
+            html_url: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                metadata: string;
+                contents: string;
+                issues: string;
+                single_file: string;
+            };
+            events: string[];
+        };
+        pull_requests: {
+            url: string;
+            id: number;
+            number: number;
+            head: {
+                ref: string;
+                sha: string;
+                repo: {
+                    id: number;
+                    url: string;
+                    name: string;
+                };
+            };
+            base: {
+                ref: string;
+                sha: string;
+                repo: {
+                    id: number;
+                    url: string;
+                    name: string;
+                };
+            };
+        }[];
+    }[];
+}
+declare type ChecksListForSuiteEndpoint = {
+    owner: string;
+    repo: string;
+    check_suite_id: number;
+    /**
+     * Returns check runs with the specified `name`.
+     */
+    check_name?: string;
+    /**
+     * Returns check runs with the specified `status`. Can be one of `queued`, `in_progress`, or `completed`.
+     */
+    status?: "queued" | "in_progress" | "completed";
+    /**
+     * Filters check runs by their `completed_at` timestamp. Can be one of `latest` (returning the most recent check runs) or `all`.
+     */
+    filter?: "latest" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"antiope">;
+declare type ChecksListForSuiteRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/check-suites/:check_suite_id/check-runs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksListForSuiteResponseData {
+    total_count: number;
+    check_runs: {
+        id: number;
+        head_sha: string;
+        node_id: string;
+        external_id: string;
+        url: string;
+        html_url: string;
+        details_url: string;
+        status: string;
+        conclusion: string;
+        started_at: string;
+        completed_at: string;
+        output: {
+            title: string;
+            summary: string;
+            text: string;
+            annotations_count: number;
+            annotations_url: string;
+        };
+        name: string;
+        check_suite: {
+            id: number;
+        };
+        app: {
+            id: number;
+            slug: string;
+            node_id: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                url: string;
+                repos_url: string;
+                events_url: string;
+                hooks_url: string;
+                issues_url: string;
+                members_url: string;
+                public_members_url: string;
+                avatar_url: string;
+                description: string;
+            };
+            name: string;
+            description: string;
+            external_url: string;
+            html_url: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                metadata: string;
+                contents: string;
+                issues: string;
+                single_file: string;
+            };
+            events: string[];
+        };
+        pull_requests: {
+            url: string;
+            id: number;
+            number: number;
+            head: {
+                ref: string;
+                sha: string;
+                repo: {
+                    id: number;
+                    url: string;
+                    name: string;
+                };
+            };
+            base: {
+                ref: string;
+                sha: string;
+                repo: {
+                    id: number;
+                    url: string;
+                    name: string;
+                };
+            };
+        }[];
+    }[];
+}
+declare type ChecksListSuitesForRefEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+    /**
+     * Filters check suites by GitHub App `id`.
+     */
+    app_id?: number;
+    /**
+     * Filters checks suites by the name of the [check run](https://developer.github.com/v3/checks/runs/).
+     */
+    check_name?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"antiope">;
+declare type ChecksListSuitesForRefRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits/:ref/check-suites";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksListSuitesForRefResponseData {
+    total_count: number;
+    check_suites: {
+        id: number;
+        node_id: string;
+        head_branch: string;
+        head_sha: string;
+        status: string;
+        conclusion: string;
+        url: string;
+        before: string;
+        after: string;
+        pull_requests: unknown[];
+        app: {
+            id: number;
+            slug: string;
+            node_id: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                url: string;
+                repos_url: string;
+                events_url: string;
+                hooks_url: string;
+                issues_url: string;
+                members_url: string;
+                public_members_url: string;
+                avatar_url: string;
+                description: string;
+            };
+            name: string;
+            description: string;
+            external_url: string;
+            html_url: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                metadata: string;
+                contents: string;
+                issues: string;
+                single_file: string;
+            };
+            events: string[];
+        };
+        repository: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    }[];
+}
+declare type ChecksRerequestSuiteEndpoint = {
+    owner: string;
+    repo: string;
+    check_suite_id: number;
+} & RequiredPreview<"antiope">;
+declare type ChecksRerequestSuiteRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/check-suites/:check_suite_id/rerequest";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ChecksSetSuitesPreferencesEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Enables or disables automatic creation of CheckSuite events upon pushes to the repository. Enabled by default. See the [`auto_trigger_checks` object](https://developer.github.com/v3/checks/suites/#auto_trigger_checks-object) description for details.
+     */
+    auto_trigger_checks?: ChecksSetSuitesPreferencesParamsAutoTriggerChecks[];
+} & RequiredPreview<"antiope">;
+declare type ChecksSetSuitesPreferencesRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/check-suites/preferences";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksSetSuitesPreferencesResponseData {
+    preferences: {
+        auto_trigger_checks: {
+            app_id: number;
+            setting: boolean;
+        }[];
+    };
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}
+declare type ChecksUpdateEndpoint = {
+    owner: string;
+    repo: string;
+    check_run_id: number;
+    /**
+     * The name of the check. For example, "code-coverage".
+     */
+    name?: string;
+    /**
+     * The URL of the integrator's site that has the full details of the check.
+     */
+    details_url?: string;
+    /**
+     * A reference for the run on the integrator's system.
+     */
+    external_id?: string;
+    /**
+     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    started_at?: string;
+    /**
+     * The current status. Can be one of `queued`, `in_progress`, or `completed`.
+     */
+    status?: "queued" | "in_progress" | "completed";
+    /**
+     * **Required if you provide `completed_at` or a `status` of `completed`**. The final conclusion of the check. Can be one of `success`, `failure`, `neutral`, `cancelled`, `skipped`, `timed_out`, or `action_required`.
+     * **Note:** Providing `conclusion` will automatically set the `status` parameter to `completed`. Only GitHub can change a check run conclusion to `stale`.
+     */
+    conclusion?: "success" | "failure" | "neutral" | "cancelled" | "skipped" | "timed_out" | "action_required";
+    /**
+     * The time the check completed. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    completed_at?: string;
+    /**
+     * Check runs can accept a variety of data in the `output` object, including a `title` and `summary` and can optionally provide descriptive details about the run. See the [`output` object](https://developer.github.com/v3/checks/runs/#output-object-1) description.
+     */
+    output?: ChecksUpdateParamsOutput;
+    /**
+     * Possible further actions the integrator can perform, which a user may trigger. Each action includes a `label`, `identifier` and `description`. A maximum of three actions are accepted. See the [`actions` object](https://developer.github.com/v3/checks/runs/#actions-object) description. To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)."
+     */
+    actions?: ChecksUpdateParamsActions[];
+} & RequiredPreview<"antiope">;
+declare type ChecksUpdateRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/check-runs/:check_run_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ChecksUpdateResponseData {
+    id: number;
+    head_sha: string;
+    node_id: string;
+    external_id: string;
+    url: string;
+    html_url: string;
+    details_url: string;
+    status: string;
+    conclusion: string;
+    started_at: string;
+    completed_at: string;
+    output: {
+        title: string;
+        summary: string;
+        text: string;
+        annotations_count: number;
+        annotations_url: string;
+    };
+    name: string;
+    check_suite: {
+        id: number;
+    };
+    app: {
+        id: number;
+        slug: string;
+        node_id: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            url: string;
+            repos_url: string;
+            events_url: string;
+            hooks_url: string;
+            issues_url: string;
+            members_url: string;
+            public_members_url: string;
+            avatar_url: string;
+            description: string;
+        };
+        name: string;
+        description: string;
+        external_url: string;
+        html_url: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            metadata: string;
+            contents: string;
+            issues: string;
+            single_file: string;
+        };
+        events: string[];
+    };
+    pull_requests: {
+        url: string;
+        id: number;
+        number: number;
+        head: {
+            ref: string;
+            sha: string;
+            repo: {
+                id: number;
+                url: string;
+                name: string;
+            };
+        };
+        base: {
+            ref: string;
+            sha: string;
+            repo: {
+                id: number;
+                url: string;
+                name: string;
+            };
+        };
+    }[];
+}
+declare type CodeScanningGetAlertEndpoint = {
+    owner: string;
+    repo: string;
+    alert_id: number;
+};
+declare type CodeScanningGetAlertRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/code-scanning/alerts/:alert_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface CodeScanningGetAlertResponseData {
+    rule_id: string;
+    rule_severity: string;
+    rule_description: string;
+    tool: string;
+    created_at: string;
+    open: boolean;
+    closed_by: string;
+    closed_at: string;
+    url: string;
+    html_url: string;
+}
+declare type CodeScanningListAlertsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Set to `closed` to list only closed code scanning alerts.
+     */
+    state?: string;
+    /**
+     * Returns a list of code scanning alerts for a specific brach reference. The `ref` must be formatted as `heads/<branch name>`.
+     */
+    ref?: string;
+};
+declare type CodeScanningListAlertsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/code-scanning/alerts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type CodeScanningListAlertsForRepoResponseData = {
+    rule_id: string;
+    rule_severity: string;
+    rule_description: string;
+    tool: string;
+    created_at: string;
+    open: boolean;
+    closed_by: string;
+    closed_at: string;
+    url: string;
+    html_url: string;
+}[];
+declare type CodesOfConductGetAllCodesOfConductEndpoint = {} & RequiredPreview<"scarlet-witch">;
+declare type CodesOfConductGetAllCodesOfConductRequestOptions = {
+    method: "GET";
+    url: "/codes_of_conduct";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type CodesOfConductGetAllCodesOfConductResponseData = {
+    key: string;
+    name: string;
+    url: string;
+}[];
+declare type CodesOfConductGetConductCodeEndpoint = {
+    key: string;
+} & RequiredPreview<"scarlet-witch">;
+declare type CodesOfConductGetConductCodeRequestOptions = {
+    method: "GET";
+    url: "/codes_of_conduct/:key";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface CodesOfConductGetConductCodeResponseData {
+    key: string;
+    name: string;
+    url: string;
+    body: string;
+}
+declare type CodesOfConductGetForRepoEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"scarlet-witch">;
+declare type CodesOfConductGetForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/community/code_of_conduct";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface CodesOfConductGetForRepoResponseData {
+    key: string;
+    name: string;
+    url: string;
+    body: string;
+}
+declare type EmojisGetEndpoint = {};
+declare type EmojisGetRequestOptions = {
+    method: "GET";
+    url: "/emojis";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type EnterpriseAdminDeleteScimGroupFromEnterpriseEndpoint = {
+    enterprise: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_group_id: string;
+};
+declare type EnterpriseAdminDeleteScimGroupFromEnterpriseRequestOptions = {
+    method: "DELETE";
+    url: "/scim/v2/enterprises/:enterprise/Groups/:scim_group_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type EnterpriseAdminDeleteUserFromEnterpriseEndpoint = {
+    enterprise: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_user_id: string;
+};
+declare type EnterpriseAdminDeleteUserFromEnterpriseRequestOptions = {
+    method: "DELETE";
+    url: "/scim/v2/enterprises/:enterprise/Users/:scim_user_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type EnterpriseAdminGetProvisioningInformationForEnterpriseGroupEndpoint = {
+    enterprise: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_group_id: string;
+};
+declare type EnterpriseAdminGetProvisioningInformationForEnterpriseGroupRequestOptions = {
+    method: "GET";
+    url: "/scim/v2/enterprises/:enterprise/Groups/:scim_group_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminGetProvisioningInformationForEnterpriseGroupResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    displayName: string;
+    members: {
+        value: string;
+        $ref: string;
+        display: string;
+    }[];
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type EnterpriseAdminGetProvisioningInformationForEnterpriseUserEndpoint = {
+    enterprise: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_user_id: string;
+};
+declare type EnterpriseAdminGetProvisioningInformationForEnterpriseUserRequestOptions = {
+    method: "GET";
+    url: "/scim/v2/enterprises/:enterprise/Users/:scim_user_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminGetProvisioningInformationForEnterpriseUserResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    userName: string;
+    name: {
+        givenName: string;
+        familyName: string;
+    };
+    emails: {
+        value: string;
+        type: string;
+        primary: boolean;
+    }[];
+    groups: {
+        value: string;
+    }[];
+    active: boolean;
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type EnterpriseAdminListProvisionedGroupsEnterpriseEndpoint = {
+    enterprise: string;
+    /**
+     * Used for pagination: the index of the first result to return.
+     */
+    startIndex?: number;
+    /**
+     * Used for pagination: the number of results to return.
+     */
+    count?: number;
+};
+declare type EnterpriseAdminListProvisionedGroupsEnterpriseRequestOptions = {
+    method: "GET";
+    url: "/scim/v2/enterprises/:enterprise/Groups";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminListProvisionedGroupsEnterpriseResponseData {
+    schemas: string[];
+    totalResults: number;
+    itemsPerPage: number;
+    startIndex: number;
+    Resources: {
+        schemas: string[];
+        id: string;
+        externalId: string;
+        displayName: string;
+        members: {
+            value: string;
+            $ref: string;
+            display: string;
+        }[];
+        meta: {
+            resourceType: string;
+            created: string;
+            lastModified: string;
+            location: string;
+        };
+    }[];
+}
+declare type EnterpriseAdminListProvisionedIdentitiesEnterpriseEndpoint = {
+    enterprise: string;
+    /**
+     * Used for pagination: the index of the first result to return.
+     */
+    startIndex?: number;
+    /**
+     * Used for pagination: the number of results to return.
+     */
+    count?: number;
+};
+declare type EnterpriseAdminListProvisionedIdentitiesEnterpriseRequestOptions = {
+    method: "GET";
+    url: "/scim/v2/enterprises/:enterprise/Users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminListProvisionedIdentitiesEnterpriseResponseData {
+    schemas: string[];
+    totalResults: number;
+    itemsPerPage: number;
+    startIndex: number;
+    Resources: {
+        schemas: string[];
+        id: string;
+        externalId: string;
+        userName: string;
+        name: {
+            givenName: string;
+            familyName: string;
+        };
+        emails: {
+            value: string;
+            primary: boolean;
+            type: string;
+        }[];
+        groups: {
+            value: string;
+        }[];
+        active: boolean;
+        meta: {
+            resourceType: string;
+            created: string;
+            lastModified: string;
+            location: string;
+        };
+    }[];
+}
+declare type EnterpriseAdminProvisionAndInviteEnterpriseGroupEndpoint = {
+    enterprise: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * The name of the SCIM group. This must match the GitHub organization that the group maps to.
+     */
+    displayName: string;
+    members?: EnterpriseAdminProvisionAndInviteEnterpriseGroupParamsMembers[];
+};
+declare type EnterpriseAdminProvisionAndInviteEnterpriseGroupRequestOptions = {
+    method: "POST";
+    url: "/scim/v2/enterprises/:enterprise/Groups";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminProvisionAndInviteEnterpriseGroupResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    displayName: string;
+    members: {
+        value: string;
+        $ref: string;
+        display: string;
+    }[];
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type EnterpriseAdminProvisionAndInviteEnterpriseUserEndpoint = {
+    enterprise: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * The username for the user.
+     */
+    userName: string;
+    name: EnterpriseAdminProvisionAndInviteEnterpriseUserParamsName;
+    /**
+     * List of user emails.
+     */
+    emails: EnterpriseAdminProvisionAndInviteEnterpriseUserParamsEmails[];
+    /**
+     * List of SCIM group IDs the user is a member of.
+     */
+    groups?: EnterpriseAdminProvisionAndInviteEnterpriseUserParamsGroups[];
+};
+declare type EnterpriseAdminProvisionAndInviteEnterpriseUserRequestOptions = {
+    method: "POST";
+    url: "/scim/v2/enterprises/:enterprise/Users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminProvisionAndInviteEnterpriseUserResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    userName: string;
+    name: {
+        givenName: string;
+        familyName: string;
+    };
+    emails: {
+        value: string;
+        type: string;
+        primary: boolean;
+    }[];
+    groups: {
+        value: string;
+    }[];
+    active: boolean;
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type EnterpriseAdminSetInformationForProvisionedEnterpriseGroupEndpoint = {
+    enterprise: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_group_id: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * The name of the SCIM group. This must match the GitHub organization that the group maps to.
+     */
+    displayName: string;
+    members?: EnterpriseAdminSetInformationForProvisionedEnterpriseGroupParamsMembers[];
+};
+declare type EnterpriseAdminSetInformationForProvisionedEnterpriseGroupRequestOptions = {
+    method: "PUT";
+    url: "/scim/v2/enterprises/:enterprise/Groups/:scim_group_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminSetInformationForProvisionedEnterpriseGroupResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    displayName: string;
+    members: {
+        value: string;
+        $ref: string;
+        display: string;
+    }[];
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type EnterpriseAdminSetInformationForProvisionedEnterpriseUserEndpoint = {
+    enterprise: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_user_id: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * The username for the user.
+     */
+    userName: string;
+    name: EnterpriseAdminSetInformationForProvisionedEnterpriseUserParamsName;
+    /**
+     * List of user emails.
+     */
+    emails: EnterpriseAdminSetInformationForProvisionedEnterpriseUserParamsEmails[];
+    /**
+     * List of SCIM group IDs the user is a member of.
+     */
+    groups?: EnterpriseAdminSetInformationForProvisionedEnterpriseUserParamsGroups[];
+};
+declare type EnterpriseAdminSetInformationForProvisionedEnterpriseUserRequestOptions = {
+    method: "PUT";
+    url: "/scim/v2/enterprises/:enterprise/Users/:scim_user_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminSetInformationForProvisionedEnterpriseUserResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    userName: string;
+    name: {
+        givenName: string;
+        familyName: string;
+    };
+    emails: {
+        value: string;
+        type: string;
+        primary: boolean;
+    }[];
+    groups: {
+        value: string;
+    }[];
+    active: boolean;
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type EnterpriseAdminUpdateAttributeForEnterpriseGroupEndpoint = {
+    enterprise: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_group_id: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * Array of [SCIM operations](https://tools.ietf.org/html/rfc7644#section-3.5.2).
+     */
+    Operations: EnterpriseAdminUpdateAttributeForEnterpriseGroupParamsOperations[];
+};
+declare type EnterpriseAdminUpdateAttributeForEnterpriseGroupRequestOptions = {
+    method: "PATCH";
+    url: "/scim/v2/enterprises/:enterprise/Groups/:scim_group_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminUpdateAttributeForEnterpriseGroupResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    displayName: string;
+    members: {
+        value: string;
+        $ref: string;
+        display: string;
+    }[];
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type EnterpriseAdminUpdateAttributeForEnterpriseUserEndpoint = {
+    enterprise: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_user_id: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * Array of [SCIM operations](https://tools.ietf.org/html/rfc7644#section-3.5.2).
+     */
+    Operations: EnterpriseAdminUpdateAttributeForEnterpriseUserParamsOperations[];
+};
+declare type EnterpriseAdminUpdateAttributeForEnterpriseUserRequestOptions = {
+    method: "PATCH";
+    url: "/scim/v2/enterprises/:enterprise/Users/:scim_user_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface EnterpriseAdminUpdateAttributeForEnterpriseUserResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    userName: string;
+    name: {
+        givenName: string;
+        familyName: string;
+    };
+    emails: {
+        value: string;
+        type: string;
+        primary: boolean;
+    }[];
+    groups: {
+        value: string;
+    }[];
+    active: boolean;
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type GistsCheckIsStarredEndpoint = {
+    gist_id: string;
+};
+declare type GistsCheckIsStarredRequestOptions = {
+    method: "GET";
+    url: "/gists/:gist_id/star";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type GistsCreateEndpoint = {
+    /**
+     * The filenames and content of each file in the gist. The keys in the `files` object represent the filename and have the type `string`.
+     */
+    files: GistsCreateParamsFiles;
+    /**
+     * A descriptive name for this gist.
+     */
+    description?: string;
+    /**
+     * When `true`, the gist will be public and available for anyone to see.
+     */
+    public?: boolean;
+};
+declare type GistsCreateRequestOptions = {
+    method: "POST";
+    url: "/gists";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GistsCreateResponseData {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            truncated?: boolean;
+            content?: string;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+    forks: {
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        url: string;
+        id: string;
+        created_at: string;
+        updated_at: string;
+    }[];
+    history: {
+        url: string;
+        version: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        change_status: {
+            deletions: number;
+            additions: number;
+            total: number;
+        };
+        committed_at: string;
+    }[];
+}
+declare type GistsCreateCommentEndpoint = {
+    gist_id: string;
+    /**
+     * The comment text.
+     */
+    body: string;
+};
+declare type GistsCreateCommentRequestOptions = {
+    method: "POST";
+    url: "/gists/:gist_id/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GistsCreateCommentResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type GistsDeleteEndpoint = {
+    gist_id: string;
+};
+declare type GistsDeleteRequestOptions = {
+    method: "DELETE";
+    url: "/gists/:gist_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type GistsDeleteCommentEndpoint = {
+    gist_id: string;
+    comment_id: number;
+};
+declare type GistsDeleteCommentRequestOptions = {
+    method: "DELETE";
+    url: "/gists/:gist_id/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type GistsForkEndpoint = {
+    gist_id: string;
+};
+declare type GistsForkRequestOptions = {
+    method: "POST";
+    url: "/gists/:gist_id/forks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GistsForkResponseData {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+}
+declare type GistsGetEndpoint = {
+    gist_id: string;
+};
+declare type GistsGetRequestOptions = {
+    method: "GET";
+    url: "/gists/:gist_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GistsGetResponseData {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            truncated?: boolean;
+            content?: string;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+    forks: {
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        url: string;
+        id: string;
+        created_at: string;
+        updated_at: string;
+    }[];
+    history: {
+        url: string;
+        version: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        change_status: {
+            deletions: number;
+            additions: number;
+            total: number;
+        };
+        committed_at: string;
+    }[];
+}
+declare type GistsGetCommentEndpoint = {
+    gist_id: string;
+    comment_id: number;
+};
+declare type GistsGetCommentRequestOptions = {
+    method: "GET";
+    url: "/gists/:gist_id/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GistsGetCommentResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type GistsGetRevisionEndpoint = {
+    gist_id: string;
+    sha: string;
+};
+declare type GistsGetRevisionRequestOptions = {
+    method: "GET";
+    url: "/gists/:gist_id/:sha";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GistsGetRevisionResponseData {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            truncated?: boolean;
+            content?: string;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+    forks: {
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        url: string;
+        id: string;
+        created_at: string;
+        updated_at: string;
+    }[];
+    history: {
+        url: string;
+        version: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        change_status: {
+            deletions: number;
+            additions: number;
+            total: number;
+        };
+        committed_at: string;
+    }[];
+}
+declare type GistsListEndpoint = {
+    /**
+     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type GistsListRequestOptions = {
+    method: "GET";
+    url: "/gists";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GistsListResponseData = {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+}[];
+declare type GistsListCommentsEndpoint = {
+    gist_id: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type GistsListCommentsRequestOptions = {
+    method: "GET";
+    url: "/gists/:gist_id/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GistsListCommentsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}[];
+declare type GistsListCommitsEndpoint = {
+    gist_id: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type GistsListCommitsRequestOptions = {
+    method: "GET";
+    url: "/gists/:gist_id/commits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GistsListCommitsResponseData = {
+    url: string;
+    version: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    change_status: {
+        deletions: number;
+        additions: number;
+        total: number;
+    };
+    committed_at: string;
+}[];
+declare type GistsListForUserEndpoint = {
+    username: string;
+    /**
+     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type GistsListForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/gists";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GistsListForUserResponseData = {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+}[];
+declare type GistsListForksEndpoint = {
+    gist_id: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type GistsListForksRequestOptions = {
+    method: "GET";
+    url: "/gists/:gist_id/forks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GistsListForksResponseData = {
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    url: string;
+    id: string;
+    created_at: string;
+    updated_at: string;
+}[];
+declare type GistsListPublicEndpoint = {
+    /**
+     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type GistsListPublicRequestOptions = {
+    method: "GET";
+    url: "/gists/public";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GistsListPublicResponseData = {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+}[];
+declare type GistsListStarredEndpoint = {
+    /**
+     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type GistsListStarredRequestOptions = {
+    method: "GET";
+    url: "/gists/starred";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GistsListStarredResponseData = {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+}[];
+declare type GistsStarEndpoint = {
+    gist_id: string;
+};
+declare type GistsStarRequestOptions = {
+    method: "PUT";
+    url: "/gists/:gist_id/star";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type GistsUnstarEndpoint = {
+    gist_id: string;
+};
+declare type GistsUnstarRequestOptions = {
+    method: "DELETE";
+    url: "/gists/:gist_id/star";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type GistsUpdateEndpoint = {
+    gist_id: string;
+    /**
+     * A descriptive name for this gist.
+     */
+    description?: string;
+    /**
+     * The filenames and content that make up this gist.
+     */
+    files?: GistsUpdateParamsFiles;
+};
+declare type GistsUpdateRequestOptions = {
+    method: "PATCH";
+    url: "/gists/:gist_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GistsUpdateResponseData {
+    url: string;
+    forks_url: string;
+    commits_url: string;
+    id: string;
+    node_id: string;
+    git_pull_url: string;
+    git_push_url: string;
+    html_url: string;
+    files: {
+        [k: string]: {
+            filename?: string;
+            type?: string;
+            language?: string;
+            raw_url?: string;
+            size?: number;
+            truncated?: boolean;
+            content?: string;
+            [k: string]: unknown;
+        };
+    };
+    public: boolean;
+    created_at: string;
+    updated_at: string;
+    description: string;
+    comments: number;
+    user: string;
+    comments_url: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    truncated: boolean;
+    forks: {
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        url: string;
+        id: string;
+        created_at: string;
+        updated_at: string;
+    }[];
+    history: {
+        url: string;
+        version: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        change_status: {
+            deletions: number;
+            additions: number;
+            total: number;
+        };
+        committed_at: string;
+    }[];
+}
+declare type GistsUpdateCommentEndpoint = {
+    gist_id: string;
+    comment_id: number;
+    /**
+     * The comment text.
+     */
+    body: string;
+};
+declare type GistsUpdateCommentRequestOptions = {
+    method: "PATCH";
+    url: "/gists/:gist_id/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GistsUpdateCommentResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type GitCreateBlobEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The new blob's content.
+     */
+    content: string;
+    /**
+     * The encoding used for `content`. Currently, `"utf-8"` and `"base64"` are supported.
+     */
+    encoding?: string;
+};
+declare type GitCreateBlobRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/git/blobs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitCreateBlobResponseData {
+    url: string;
+    sha: string;
+}
+declare type GitCreateCommitEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The commit message
+     */
+    message: string;
+    /**
+     * The SHA of the tree object this commit points to
+     */
+    tree: string;
+    /**
+     * The SHAs of the commits that were the parents of this commit. If omitted or empty, the commit will be written as a root commit. For a single parent, an array of one SHA should be provided; for a merge commit, an array of more than one should be provided.
+     */
+    parents: string[];
+    /**
+     * Information about the author of the commit. By default, the `author` will be the authenticated user and the current date. See the `author` and `committer` object below for details.
+     */
+    author?: GitCreateCommitParamsAuthor;
+    /**
+     * Information about the person who is making the commit. By default, `committer` will use the information set in `author`. See the `author` and `committer` object below for details.
+     */
+    committer?: GitCreateCommitParamsCommitter;
+    /**
+     * The [PGP signature](https://en.wikipedia.org/wiki/Pretty_Good_Privacy) of the commit. GitHub adds the signature to the `gpgsig` header of the created commit. For a commit signature to be verifiable by Git or GitHub, it must be an ASCII-armored detached PGP signature over the string commit as it would be written to the object database. To pass a `signature` parameter, you need to first manually create a valid PGP signature, which can be complicated. You may find it easier to [use the command line](https://git-scm.com/book/id/v2/Git-Tools-Signing-Your-Work) to create signed commits.
+     */
+    signature?: string;
+};
+declare type GitCreateCommitRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/git/commits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitCreateCommitResponseData {
+    sha: string;
+    node_id: string;
+    url: string;
+    author: {
+        date: string;
+        name: string;
+        email: string;
+    };
+    committer: {
+        date: string;
+        name: string;
+        email: string;
+    };
+    message: string;
+    tree: {
+        url: string;
+        sha: string;
+    };
+    parents: {
+        url: string;
+        sha: string;
+    }[];
+    verification: {
+        verified: boolean;
+        reason: string;
+        signature: string;
+        payload: string;
+    };
+}
+declare type GitCreateRefEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The name of the fully qualified reference (ie: `refs/heads/master`). If it doesn't start with 'refs' and have at least two slashes, it will be rejected.
+     */
+    ref: string;
+    /**
+     * The SHA1 value for this reference.
+     */
+    sha: string;
+};
+declare type GitCreateRefRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/git/refs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitCreateRefResponseData {
+    ref: string;
+    node_id: string;
+    url: string;
+    object: {
+        type: string;
+        sha: string;
+        url: string;
+    };
+}
+declare type GitCreateTagEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The tag's name. This is typically a version (e.g., "v0.0.1").
+     */
+    tag: string;
+    /**
+     * The tag message.
+     */
+    message: string;
+    /**
+     * The SHA of the git object this is tagging.
+     */
+    object: string;
+    /**
+     * The type of the object we're tagging. Normally this is a `commit` but it can also be a `tree` or a `blob`.
+     */
+    type: "commit" | "tree" | "blob";
+    /**
+     * An object with information about the individual creating the tag.
+     */
+    tagger?: GitCreateTagParamsTagger;
+};
+declare type GitCreateTagRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/git/tags";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitCreateTagResponseData {
+    node_id: string;
+    tag: string;
+    sha: string;
+    url: string;
+    message: string;
+    tagger: {
+        name: string;
+        email: string;
+        date: string;
+    };
+    object: {
+        type: string;
+        sha: string;
+        url: string;
+    };
+    verification: {
+        verified: boolean;
+        reason: string;
+        signature: string;
+        payload: string;
+    };
+}
+declare type GitCreateTreeEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Objects (of `path`, `mode`, `type`, and `sha`) specifying a tree structure.
+     */
+    tree: GitCreateTreeParamsTree[];
+    /**
+     * The SHA1 of the tree you want to update with new data. If you don't set this, the commit will be created on top of everything; however, it will only contain your change, the rest of your files will show up as deleted.
+     */
+    base_tree?: string;
+};
+declare type GitCreateTreeRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/git/trees";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitCreateTreeResponseData {
+    sha: string;
+    url: string;
+    tree: {
+        path: string;
+        mode: string;
+        type: string;
+        size: number;
+        sha: string;
+        url: string;
+    }[];
+}
+declare type GitDeleteRefEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+};
+declare type GitDeleteRefRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/git/refs/:ref";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type GitGetBlobEndpoint = {
+    owner: string;
+    repo: string;
+    file_sha: string;
+};
+declare type GitGetBlobRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/git/blobs/:file_sha";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitGetBlobResponseData {
+    content: string;
+    encoding: string;
+    url: string;
+    sha: string;
+    size: number;
+}
+declare type GitGetCommitEndpoint = {
+    owner: string;
+    repo: string;
+    commit_sha: string;
+};
+declare type GitGetCommitRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/git/commits/:commit_sha";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitGetCommitResponseData {
+    sha: string;
+    node_id: string;
+    url: string;
+    author: {
+        date: string;
+        name: string;
+        email: string;
+    };
+    committer: {
+        date: string;
+        name: string;
+        email: string;
+    };
+    message: string;
+    tree: {
+        url: string;
+        sha: string;
+    };
+    parents: {
+        url: string;
+        sha: string;
+    }[];
+    verification: {
+        verified: boolean;
+        reason: string;
+        signature: string;
+        payload: string;
+    };
+}
+declare type GitGetRefEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+};
+declare type GitGetRefRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/git/ref/:ref";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitGetRefResponseData {
+    ref: string;
+    node_id: string;
+    url: string;
+    object: {
+        type: string;
+        sha: string;
+        url: string;
+    };
+}
+declare type GitGetTagEndpoint = {
+    owner: string;
+    repo: string;
+    tag_sha: string;
+};
+declare type GitGetTagRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/git/tags/:tag_sha";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitGetTagResponseData {
+    node_id: string;
+    tag: string;
+    sha: string;
+    url: string;
+    message: string;
+    tagger: {
+        name: string;
+        email: string;
+        date: string;
+    };
+    object: {
+        type: string;
+        sha: string;
+        url: string;
+    };
+    verification: {
+        verified: boolean;
+        reason: string;
+        signature: string;
+        payload: string;
+    };
+}
+declare type GitGetTreeEndpoint = {
+    owner: string;
+    repo: string;
+    tree_sha: string;
+    /**
+     * Setting this parameter to any value returns the objects or subtrees referenced by the tree specified in `:tree_sha`. For example, setting `recursive` to any of the following will enable returning objects or subtrees: `0`, `1`, `"true"`, and `"false"`. Omit this parameter to prevent recursively returning objects or subtrees.
+     */
+    recursive?: string;
+};
+declare type GitGetTreeRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/git/trees/:tree_sha";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitGetTreeResponseData {
+    sha: string;
+    url: string;
+    tree: {
+        path: string;
+        mode: string;
+        type: string;
+        size: number;
+        sha: string;
+        url: string;
+    }[];
+    truncated: boolean;
+}
+declare type GitListMatchingRefsEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type GitListMatchingRefsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/git/matching-refs/:ref";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GitListMatchingRefsResponseData = {
+    ref: string;
+    node_id: string;
+    url: string;
+    object: {
+        type: string;
+        sha: string;
+        url: string;
+    };
+}[];
+declare type GitUpdateRefEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+    /**
+     * The SHA1 value to set this reference to
+     */
+    sha: string;
+    /**
+     * Indicates whether to force the update or to make sure the update is a fast-forward update. Leaving this out or setting it to `false` will make sure you're not overwriting work.
+     */
+    force?: boolean;
+};
+declare type GitUpdateRefRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/git/refs/:ref";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitUpdateRefResponseData {
+    ref: string;
+    node_id: string;
+    url: string;
+    object: {
+        type: string;
+        sha: string;
+        url: string;
+    };
+}
+declare type GitignoreGetAllTemplatesEndpoint = {};
+declare type GitignoreGetAllTemplatesRequestOptions = {
+    method: "GET";
+    url: "/gitignore/templates";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type GitignoreGetAllTemplatesResponseData = string[];
+declare type GitignoreGetTemplateEndpoint = {
+    name: string;
+};
+declare type GitignoreGetTemplateRequestOptions = {
+    method: "GET";
+    url: "/gitignore/templates/:name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface GitignoreGetTemplateResponseData {
+    name: string;
+    source: string;
+}
+declare type InteractionsGetRestrictionsForOrgEndpoint = {
+    org: string;
+} & RequiredPreview<"sombra">;
+declare type InteractionsGetRestrictionsForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/interaction-limits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface InteractionsGetRestrictionsForOrgResponseData {
+    limit: string;
+    origin: string;
+    expires_at: string;
+}
+declare type InteractionsGetRestrictionsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"sombra">;
+declare type InteractionsGetRestrictionsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/interaction-limits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface InteractionsGetRestrictionsForRepoResponseData {
+    limit: string;
+    origin: string;
+    expires_at: string;
+}
+declare type InteractionsRemoveRestrictionsForOrgEndpoint = {
+    org: string;
+} & RequiredPreview<"sombra">;
+declare type InteractionsRemoveRestrictionsForOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/interaction-limits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type InteractionsRemoveRestrictionsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"sombra">;
+declare type InteractionsRemoveRestrictionsForRepoRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/interaction-limits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type InteractionsSetRestrictionsForOrgEndpoint = {
+    org: string;
+    /**
+     * Specifies the group of GitHub users who can comment, open issues, or create pull requests in public repositories for the given organization. Must be one of: `existing_users`, `contributors_only`, or `collaborators_only`.
+     */
+    limit: "existing_users" | "contributors_only" | "collaborators_only";
+} & RequiredPreview<"sombra">;
+declare type InteractionsSetRestrictionsForOrgRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/interaction-limits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface InteractionsSetRestrictionsForOrgResponseData {
+    limit: string;
+    origin: string;
+    expires_at: string;
+}
+declare type InteractionsSetRestrictionsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Specifies the group of GitHub users who can comment, open issues, or create pull requests for the given repository. Must be one of: `existing_users`, `contributors_only`, or `collaborators_only`.
+     */
+    limit: "existing_users" | "contributors_only" | "collaborators_only";
+} & RequiredPreview<"sombra">;
+declare type InteractionsSetRestrictionsForRepoRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/interaction-limits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface InteractionsSetRestrictionsForRepoResponseData {
+    limit: string;
+    origin: string;
+    expires_at: string;
+}
+declare type IssuesAddAssigneesEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * Usernames of people to assign this issue to. _NOTE: Only users with push access can add assignees to an issue. Assignees are silently ignored otherwise._
+     */
+    assignees?: string[];
+};
+declare type IssuesAddAssigneesRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/issues/:issue_number/assignees";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesAddAssigneesResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type IssuesAddLabelsEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * The name of the label to add to the issue. Must contain at least one label. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
+     */
+    labels: string[];
+};
+declare type IssuesAddLabelsRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/issues/:issue_number/labels";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesAddLabelsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}[];
+declare type IssuesCheckUserCanBeAssignedEndpoint = {
+    owner: string;
+    repo: string;
+    assignee: string;
+};
+declare type IssuesCheckUserCanBeAssignedRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/assignees/:assignee";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type IssuesCreateEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The title of the issue.
+     */
+    title: string;
+    /**
+     * The contents of the issue.
+     */
+    body?: string;
+    /**
+     * Login for the user that this issue should be assigned to. _NOTE: Only users with push access can set the assignee for new issues. The assignee is silently dropped otherwise. **This field is deprecated.**_
+     */
+    assignee?: string;
+    /**
+     * The `number` of the milestone to associate this issue with. _NOTE: Only users with push access can set the milestone for new issues. The milestone is silently dropped otherwise._
+     */
+    milestone?: number;
+    /**
+     * Labels to associate with this issue. _NOTE: Only users with push access can set labels for new issues. Labels are silently dropped otherwise._
+     */
+    labels?: string[];
+    /**
+     * Logins for Users to assign to this issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
+     */
+    assignees?: string[];
+};
+declare type IssuesCreateRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/issues";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesCreateResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+    closed_by: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type IssuesCreateCommentEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * The contents of the comment.
+     */
+    body: string;
+};
+declare type IssuesCreateCommentRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/issues/:issue_number/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesCreateCommentResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type IssuesCreateLabelEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The name of the label. Emoji can be added to label names, using either native emoji or colon-style markup. For example, typing `:strawberry:` will render the emoji ![:strawberry:](https://github.githubassets.com/images/icons/emoji/unicode/1f353.png ":strawberry:"). For a full list of available emoji and codes, see [emoji-cheat-sheet.com](http://emoji-cheat-sheet.com/).
+     */
+    name: string;
+    /**
+     * The [hexadecimal color code](http://www.color-hex.com/) for the label, without the leading `#`.
+     */
+    color: string;
+    /**
+     * A short description of the label.
+     */
+    description?: string;
+};
+declare type IssuesCreateLabelRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/labels";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesCreateLabelResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}
+declare type IssuesCreateMilestoneEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The title of the milestone.
+     */
+    title: string;
+    /**
+     * The state of the milestone. Either `open` or `closed`.
+     */
+    state?: "open" | "closed";
+    /**
+     * A description of the milestone.
+     */
+    description?: string;
+    /**
+     * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    due_on?: string;
+};
+declare type IssuesCreateMilestoneRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/milestones";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesCreateMilestoneResponseData {
+    url: string;
+    html_url: string;
+    labels_url: string;
+    id: number;
+    node_id: string;
+    number: number;
+    state: string;
+    title: string;
+    description: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    open_issues: number;
+    closed_issues: number;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    due_on: string;
+}
+declare type IssuesDeleteCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+};
+declare type IssuesDeleteCommentRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/issues/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type IssuesDeleteLabelEndpoint = {
+    owner: string;
+    repo: string;
+    name: string;
+};
+declare type IssuesDeleteLabelRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/labels/:name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type IssuesDeleteMilestoneEndpoint = {
+    owner: string;
+    repo: string;
+    milestone_number: number;
+};
+declare type IssuesDeleteMilestoneRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/milestones/:milestone_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type IssuesGetEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+};
+declare type IssuesGetRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/:issue_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesGetResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+    closed_by: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type IssuesGetCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+};
+declare type IssuesGetCommentRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesGetCommentResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type IssuesGetEventEndpoint = {
+    owner: string;
+    repo: string;
+    event_id: number;
+};
+declare type IssuesGetEventRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/events/:event_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesGetEventResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    actor: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    event: string;
+    commit_id: string;
+    commit_url: string;
+    created_at: string;
+    issue: {
+        id: number;
+        node_id: string;
+        url: string;
+        repository_url: string;
+        labels_url: string;
+        comments_url: string;
+        events_url: string;
+        html_url: string;
+        number: number;
+        state: string;
+        title: string;
+        body: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        labels: {
+            id: number;
+            node_id: string;
+            url: string;
+            name: string;
+            description: string;
+            color: string;
+            default: boolean;
+        }[];
+        assignee: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        assignees: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        }[];
+        milestone: {
+            url: string;
+            html_url: string;
+            labels_url: string;
+            id: number;
+            node_id: string;
+            number: number;
+            state: string;
+            title: string;
+            description: string;
+            creator: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            open_issues: number;
+            closed_issues: number;
+            created_at: string;
+            updated_at: string;
+            closed_at: string;
+            due_on: string;
+        };
+        locked: boolean;
+        active_lock_reason: string;
+        comments: number;
+        pull_request: {
+            url: string;
+            html_url: string;
+            diff_url: string;
+            patch_url: string;
+        };
+        closed_at: string;
+        created_at: string;
+        updated_at: string;
+    };
+}
+declare type IssuesGetLabelEndpoint = {
+    owner: string;
+    repo: string;
+    name: string;
+};
+declare type IssuesGetLabelRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/labels/:name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesGetLabelResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}
+declare type IssuesGetMilestoneEndpoint = {
+    owner: string;
+    repo: string;
+    milestone_number: number;
+};
+declare type IssuesGetMilestoneRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/milestones/:milestone_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesGetMilestoneResponseData {
+    url: string;
+    html_url: string;
+    labels_url: string;
+    id: number;
+    node_id: string;
+    number: number;
+    state: string;
+    title: string;
+    description: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    open_issues: number;
+    closed_issues: number;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    due_on: string;
+}
+declare type IssuesListEndpoint = {
+    /**
+     * Indicates which sorts of issues to return. Can be one of:
+     * \* `assigned`: Issues assigned to you
+     * \* `created`: Issues created by you
+     * \* `mentioned`: Issues mentioning you
+     * \* `subscribed`: Issues you're subscribed to updates for
+     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
+     */
+    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
+    /**
+     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * A list of comma separated label names. Example: `bug,ui,@high`
+     */
+    labels?: string;
+    /**
+     * What to sort results by. Can be either `created`, `updated`, `comments`.
+     */
+    sort?: "created" | "updated" | "comments";
+    /**
+     * The direction of the sort. Can be either `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListRequestOptions = {
+    method: "GET";
+    url: "/issues";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}[];
+declare type IssuesListAssigneesEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListAssigneesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/assignees";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListAssigneesResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type IssuesListCommentsEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListCommentsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/:issue_number/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListCommentsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}[];
+declare type IssuesListCommentsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Either `created` or `updated`.
+     */
+    sort?: "created" | "updated";
+    /**
+     * Either `asc` or `desc`. Ignored without the `sort` parameter.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListCommentsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListCommentsForRepoResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}[];
+declare type IssuesListEventsEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListEventsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/:issue_number/events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListEventsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    actor: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    event: string;
+    commit_id: string;
+    commit_url: string;
+    created_at: string;
+}[];
+declare type IssuesListEventsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListEventsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListEventsForRepoResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    actor: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    event: string;
+    commit_id: string;
+    commit_url: string;
+    created_at: string;
+    issue: {
+        id: number;
+        node_id: string;
+        url: string;
+        repository_url: string;
+        labels_url: string;
+        comments_url: string;
+        events_url: string;
+        html_url: string;
+        number: number;
+        state: string;
+        title: string;
+        body: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        labels: {
+            id: number;
+            node_id: string;
+            url: string;
+            name: string;
+            description: string;
+            color: string;
+            default: boolean;
+        }[];
+        assignee: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        assignees: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        }[];
+        milestone: {
+            url: string;
+            html_url: string;
+            labels_url: string;
+            id: number;
+            node_id: string;
+            number: number;
+            state: string;
+            title: string;
+            description: string;
+            creator: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            open_issues: number;
+            closed_issues: number;
+            created_at: string;
+            updated_at: string;
+            closed_at: string;
+            due_on: string;
+        };
+        locked: boolean;
+        active_lock_reason: string;
+        comments: number;
+        pull_request: {
+            url: string;
+            html_url: string;
+            diff_url: string;
+            patch_url: string;
+        };
+        closed_at: string;
+        created_at: string;
+        updated_at: string;
+    };
+}[];
+declare type IssuesListEventsForTimelineEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"mockingbird">;
+declare type IssuesListEventsForTimelineRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/:issue_number/timeline";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListEventsForTimelineResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    actor: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    event: string;
+    commit_id: string;
+    commit_url: string;
+    created_at: string;
+}[];
+declare type IssuesListForAuthenticatedUserEndpoint = {
+    /**
+     * Indicates which sorts of issues to return. Can be one of:
+     * \* `assigned`: Issues assigned to you
+     * \* `created`: Issues created by you
+     * \* `mentioned`: Issues mentioning you
+     * \* `subscribed`: Issues you're subscribed to updates for
+     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
+     */
+    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
+    /**
+     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * A list of comma separated label names. Example: `bug,ui,@high`
+     */
+    labels?: string;
+    /**
+     * What to sort results by. Can be either `created`, `updated`, `comments`.
+     */
+    sort?: "created" | "updated" | "comments";
+    /**
+     * The direction of the sort. Can be either `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/issues";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListForAuthenticatedUserResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}[];
+declare type IssuesListForOrgEndpoint = {
+    org: string;
+    /**
+     * Indicates which sorts of issues to return. Can be one of:
+     * \* `assigned`: Issues assigned to you
+     * \* `created`: Issues created by you
+     * \* `mentioned`: Issues mentioning you
+     * \* `subscribed`: Issues you're subscribed to updates for
+     * \* `all`: All issues the authenticated user can see, regardless of participation or creation
+     */
+    filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
+    /**
+     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * A list of comma separated label names. Example: `bug,ui,@high`
+     */
+    labels?: string;
+    /**
+     * What to sort results by. Can be either `created`, `updated`, `comments`.
+     */
+    sort?: "created" | "updated" | "comments";
+    /**
+     * The direction of the sort. Can be either `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/issues";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListForOrgResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}[];
+declare type IssuesListForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * If an `integer` is passed, it should refer to a milestone by its `number` field. If the string `*` is passed, issues with any milestone are accepted. If the string `none` is passed, issues without milestones are returned.
+     */
+    milestone?: string;
+    /**
+     * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * Can be the name of a user. Pass in `none` for issues with no assigned user, and `*` for issues assigned to any user.
+     */
+    assignee?: string;
+    /**
+     * The user that created the issue.
+     */
+    creator?: string;
+    /**
+     * A user that's mentioned in the issue.
+     */
+    mentioned?: string;
+    /**
+     * A list of comma separated label names. Example: `bug,ui,@high`
+     */
+    labels?: string;
+    /**
+     * What to sort results by. Can be either `created`, `updated`, `comments`.
+     */
+    sort?: "created" | "updated" | "comments";
+    /**
+     * The direction of the sort. Can be either `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListForRepoResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+}[];
+declare type IssuesListLabelsForMilestoneEndpoint = {
+    owner: string;
+    repo: string;
+    milestone_number: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListLabelsForMilestoneRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/milestones/:milestone_number/labels";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListLabelsForMilestoneResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}[];
+declare type IssuesListLabelsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListLabelsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/labels";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListLabelsForRepoResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}[];
+declare type IssuesListLabelsOnIssueEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListLabelsOnIssueRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/:issue_number/labels";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListLabelsOnIssueResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}[];
+declare type IssuesListMilestonesEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The state of the milestone. Either `open`, `closed`, or `all`.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * What to sort results by. Either `due_on` or `completeness`.
+     */
+    sort?: "due_on" | "completeness";
+    /**
+     * The direction of the sort. Either `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type IssuesListMilestonesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/milestones";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesListMilestonesResponseData = {
+    url: string;
+    html_url: string;
+    labels_url: string;
+    id: number;
+    node_id: string;
+    number: number;
+    state: string;
+    title: string;
+    description: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    open_issues: number;
+    closed_issues: number;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    due_on: string;
+}[];
+declare type IssuesLockEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * The reason for locking the issue or pull request conversation. Lock will fail if you don't use one of these reasons:
+     * \* `off-topic`
+     * \* `too heated`
+     * \* `resolved`
+     * \* `spam`
+     */
+    lock_reason?: "off-topic" | "too heated" | "resolved" | "spam";
+};
+declare type IssuesLockRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/issues/:issue_number/lock";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type IssuesRemoveAllLabelsEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+};
+declare type IssuesRemoveAllLabelsRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/issues/:issue_number/labels";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type IssuesRemoveAssigneesEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * Usernames of assignees to remove from an issue. _NOTE: Only users with push access can remove assignees from an issue. Assignees are silently ignored otherwise._
+     */
+    assignees?: string[];
+};
+declare type IssuesRemoveAssigneesRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/issues/:issue_number/assignees";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesRemoveAssigneesResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type IssuesRemoveLabelEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    name: string;
+};
+declare type IssuesRemoveLabelRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/issues/:issue_number/labels/:name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesRemoveLabelResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}[];
+declare type IssuesSetLabelsEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * The names of the labels to add to the issue. You can pass an empty array to remove all labels. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
+     */
+    labels?: string[];
+};
+declare type IssuesSetLabelsRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/issues/:issue_number/labels";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type IssuesSetLabelsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}[];
+declare type IssuesUnlockEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+};
+declare type IssuesUnlockRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/issues/:issue_number/lock";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type IssuesUpdateEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * The title of the issue.
+     */
+    title?: string;
+    /**
+     * The contents of the issue.
+     */
+    body?: string;
+    /**
+     * Login for the user that this issue should be assigned to. **This field is deprecated.**
+     */
+    assignee?: string;
+    /**
+     * State of the issue. Either `open` or `closed`.
+     */
+    state?: "open" | "closed";
+    /**
+     * The `number` of the milestone to associate this issue with or `null` to remove current. _NOTE: Only users with push access can set the milestone for issues. The milestone is silently dropped otherwise._
+     */
+    milestone?: number | null;
+    /**
+     * Labels to associate with this issue. Pass one or more Labels to _replace_ the set of Labels on this Issue. Send an empty array (`[]`) to clear all Labels from the Issue. _NOTE: Only users with push access can set labels for issues. Labels are silently dropped otherwise._
+     */
+    labels?: string[];
+    /**
+     * Logins for Users to assign to this issue. Pass one or more user logins to _replace_ the set of assignees on this Issue. Send an empty array (`[]`) to clear all assignees from the Issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
+     */
+    assignees?: string[];
+};
+declare type IssuesUpdateRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/issues/:issue_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesUpdateResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    repository_url: string;
+    labels_url: string;
+    comments_url: string;
+    events_url: string;
+    html_url: string;
+    number: number;
+    state: string;
+    title: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    locked: boolean;
+    active_lock_reason: string;
+    comments: number;
+    pull_request: {
+        url: string;
+        html_url: string;
+        diff_url: string;
+        patch_url: string;
+    };
+    closed_at: string;
+    created_at: string;
+    updated_at: string;
+    closed_by: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type IssuesUpdateCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * The contents of the comment.
+     */
+    body: string;
+};
+declare type IssuesUpdateCommentRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/issues/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesUpdateCommentResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    body: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type IssuesUpdateLabelEndpoint = {
+    owner: string;
+    repo: string;
+    name: string;
+    /**
+     * The new name of the label. Emoji can be added to label names, using either native emoji or colon-style markup. For example, typing `:strawberry:` will render the emoji ![:strawberry:](https://github.githubassets.com/images/icons/emoji/unicode/1f353.png ":strawberry:"). For a full list of available emoji and codes, see [emoji-cheat-sheet.com](http://emoji-cheat-sheet.com/).
+     */
+    new_name?: string;
+    /**
+     * The [hexadecimal color code](http://www.color-hex.com/) for the label, without the leading `#`.
+     */
+    color?: string;
+    /**
+     * A short description of the label.
+     */
+    description?: string;
+};
+declare type IssuesUpdateLabelRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/labels/:name";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesUpdateLabelResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    description: string;
+    color: string;
+    default: boolean;
+}
+declare type IssuesUpdateMilestoneEndpoint = {
+    owner: string;
+    repo: string;
+    milestone_number: number;
+    /**
+     * The title of the milestone.
+     */
+    title?: string;
+    /**
+     * The state of the milestone. Either `open` or `closed`.
+     */
+    state?: "open" | "closed";
+    /**
+     * A description of the milestone.
+     */
+    description?: string;
+    /**
+     * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    due_on?: string;
+};
+declare type IssuesUpdateMilestoneRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/milestones/:milestone_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface IssuesUpdateMilestoneResponseData {
+    url: string;
+    html_url: string;
+    labels_url: string;
+    id: number;
+    node_id: string;
+    number: number;
+    state: string;
+    title: string;
+    description: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    open_issues: number;
+    closed_issues: number;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    due_on: string;
+}
+declare type LicensesGetEndpoint = {
+    license: string;
+};
+declare type LicensesGetRequestOptions = {
+    method: "GET";
+    url: "/licenses/:license";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface LicensesGetResponseData {
+    key: string;
+    name: string;
+    spdx_id: string;
+    url: string;
+    node_id: string;
+    html_url: string;
+    description: string;
+    implementation: string;
+    permissions: string[];
+    conditions: string[];
+    limitations: string[];
+    body: string;
+    featured: boolean;
+}
+declare type LicensesGetAllCommonlyUsedEndpoint = {};
+declare type LicensesGetAllCommonlyUsedRequestOptions = {
+    method: "GET";
+    url: "/licenses";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type LicensesGetAllCommonlyUsedResponseData = {
+    key: string;
+    name: string;
+    spdx_id: string;
+    url: string;
+    node_id: string;
+}[];
+declare type LicensesGetForRepoEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type LicensesGetForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/license";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface LicensesGetForRepoResponseData {
+    name: string;
+    path: string;
+    sha: string;
+    size: number;
+    url: string;
+    html_url: string;
+    git_url: string;
+    download_url: string;
+    type: string;
+    content: string;
+    encoding: string;
+    _links: {
+        self: string;
+        git: string;
+        html: string;
+    };
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}
+declare type MarkdownRenderEndpoint = {
+    /**
+     * The Markdown text to render in HTML. Markdown content must be 400 KB or less.
+     */
+    text: string;
+    /**
+     * The rendering mode. Can be either:
+     * \* `markdown` to render a document in plain Markdown, just like README.md files are rendered.
+     * \* `gfm` to render a document in [GitHub Flavored Markdown](https://github.github.com/gfm/), which creates links for user mentions as well as references to SHA-1 hashes, issues, and pull requests.
+     */
+    mode?: "markdown" | "gfm";
+    /**
+     * The repository context to use when creating references in `gfm` mode. Omit this parameter when using `markdown` mode.
+     */
+    context?: string;
+};
+declare type MarkdownRenderRequestOptions = {
+    method: "POST";
+    url: "/markdown";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MarkdownRenderRawEndpoint = {
+    /**
+     * data parameter
+     */
+    data: string;
+} & {
+    headers: {
+        "content-type": "text/plain; charset=utf-8";
+    };
+};
+declare type MarkdownRenderRawRequestOptions = {
+    method: "POST";
+    url: "/markdown/raw";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MetaGetEndpoint = {};
+declare type MetaGetRequestOptions = {
+    method: "GET";
+    url: "/meta";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MetaGetResponseData {
+    verifiable_password_authentication: boolean;
+    ssh_key_fingerprints: {
+        MD5_RSA: string;
+        MD5_DSA: string;
+        SHA256_RSA: string;
+        SHA256_DSA: string;
+    };
+    hooks: string[];
+    web: string[];
+    api: string[];
+    git: string[];
+    pages: string[];
+    importer: string[];
+}
+declare type MigrationsCancelImportEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type MigrationsCancelImportRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/import";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MigrationsDeleteArchiveForAuthenticatedUserEndpoint = {
+    migration_id: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsDeleteArchiveForAuthenticatedUserRequestOptions = {
+    method: "DELETE";
+    url: "/user/migrations/:migration_id/archive";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MigrationsDeleteArchiveForOrgEndpoint = {
+    org: string;
+    migration_id: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsDeleteArchiveForOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/migrations/:migration_id/archive";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MigrationsDownloadArchiveForOrgEndpoint = {
+    org: string;
+    migration_id: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsDownloadArchiveForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/migrations/:migration_id/archive";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MigrationsGetArchiveForAuthenticatedUserEndpoint = {
+    migration_id: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsGetArchiveForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/migrations/:migration_id/archive";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MigrationsGetCommitAuthorsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Only authors found after this id are returned. Provide the highest author ID you've seen so far. New authors may be added to the list at any point while the importer is performing the `raw` step.
+     */
+    since?: string;
+};
+declare type MigrationsGetCommitAuthorsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/import/authors";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type MigrationsGetCommitAuthorsResponseData = {
+    id: number;
+    remote_id: string;
+    remote_name: string;
+    email: string;
+    name: string;
+    url: string;
+    import_url: string;
+}[];
+declare type MigrationsGetImportStatusEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type MigrationsGetImportStatusRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/import";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsGetImportStatusResponseData {
+    vcs: string;
+    use_lfs: string;
+    vcs_url: string;
+    status: string;
+    status_text: string;
+    has_large_files: boolean;
+    large_files_size: number;
+    large_files_count: number;
+    authors_count: number;
+    url: string;
+    html_url: string;
+    authors_url: string;
+    repository_url: string;
+}
+declare type MigrationsGetLargeFilesEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type MigrationsGetLargeFilesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/import/large_files";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type MigrationsGetLargeFilesResponseData = {
+    ref_name: string;
+    path: string;
+    oid: string;
+    size: number;
+}[];
+declare type MigrationsGetStatusForAuthenticatedUserEndpoint = {
+    migration_id: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsGetStatusForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/migrations/:migration_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsGetStatusForAuthenticatedUserResponseData {
+    id: number;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    guid: string;
+    state: string;
+    lock_repositories: boolean;
+    exclude_attachments: boolean;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+    url: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type MigrationsGetStatusForOrgEndpoint = {
+    org: string;
+    migration_id: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsGetStatusForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/migrations/:migration_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsGetStatusForOrgResponseData {
+    id: number;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    guid: string;
+    state: string;
+    lock_repositories: boolean;
+    exclude_attachments: boolean;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+    url: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type MigrationsListForAuthenticatedUserEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsListForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/migrations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type MigrationsListForAuthenticatedUserResponseData = {
+    id: number;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    guid: string;
+    state: string;
+    lock_repositories: boolean;
+    exclude_attachments: boolean;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+    url: string;
+    created_at: string;
+    updated_at: string;
+}[];
+declare type MigrationsListForOrgEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsListForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/migrations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type MigrationsListForOrgResponseData = {
+    id: number;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    guid: string;
+    state: string;
+    lock_repositories: boolean;
+    exclude_attachments: boolean;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+    url: string;
+    created_at: string;
+    updated_at: string;
+}[];
+declare type MigrationsListReposForOrgEndpoint = {
+    org: string;
+    migration_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsListReposForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/migrations/:migration_id/repositories";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type MigrationsListReposForOrgResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    delete_branch_on_merge: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}[];
+declare type MigrationsListReposForUserEndpoint = {
+    migration_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsListReposForUserRequestOptions = {
+    method: "GET";
+    url: "/user/migrations/:migration_id/repositories";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type MigrationsListReposForUserResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    delete_branch_on_merge: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}[];
+declare type MigrationsMapCommitAuthorEndpoint = {
+    owner: string;
+    repo: string;
+    author_id: number;
+    /**
+     * The new Git author email.
+     */
+    email?: string;
+    /**
+     * The new Git author name.
+     */
+    name?: string;
+};
+declare type MigrationsMapCommitAuthorRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/import/authors/:author_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsMapCommitAuthorResponseData {
+    id: number;
+    remote_id: string;
+    remote_name: string;
+    email: string;
+    name: string;
+    url: string;
+    import_url: string;
+}
+declare type MigrationsSetLfsPreferenceEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Can be one of `opt_in` (large files will be stored using Git LFS) or `opt_out` (large files will be removed during the import).
+     */
+    use_lfs: "opt_in" | "opt_out";
+};
+declare type MigrationsSetLfsPreferenceRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/import/lfs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsSetLfsPreferenceResponseData {
+    vcs: string;
+    use_lfs: string;
+    vcs_url: string;
+    status: string;
+    status_text: string;
+    has_large_files: boolean;
+    large_files_size: number;
+    large_files_count: number;
+    authors_count: number;
+    url: string;
+    html_url: string;
+    authors_url: string;
+    repository_url: string;
+}
+declare type MigrationsStartForAuthenticatedUserEndpoint = {
+    /**
+     * An array of repositories to include in the migration.
+     */
+    repositories: string[];
+    /**
+     * Locks the `repositories` to prevent changes during the migration when set to `true`.
+     */
+    lock_repositories?: boolean;
+    /**
+     * Does not include attachments uploaded to GitHub.com in the migration data when set to `true`. Excluding attachments will reduce the migration archive file size.
+     */
+    exclude_attachments?: boolean;
+};
+declare type MigrationsStartForAuthenticatedUserRequestOptions = {
+    method: "POST";
+    url: "/user/migrations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsStartForAuthenticatedUserResponseData {
+    id: number;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    guid: string;
+    state: string;
+    lock_repositories: boolean;
+    exclude_attachments: boolean;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+    url: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type MigrationsStartForOrgEndpoint = {
+    org: string;
+    /**
+     * A list of arrays indicating which repositories should be migrated.
+     */
+    repositories: string[];
+    /**
+     * Indicates whether repositories should be locked (to prevent manipulation) while migrating data.
+     */
+    lock_repositories?: boolean;
+    /**
+     * Indicates whether attachments should be excluded from the migration (to reduce migration archive file size).
+     */
+    exclude_attachments?: boolean;
+};
+declare type MigrationsStartForOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/migrations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsStartForOrgResponseData {
+    id: number;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    guid: string;
+    state: string;
+    lock_repositories: boolean;
+    exclude_attachments: boolean;
+    repositories: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    }[];
+    url: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type MigrationsStartImportEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The URL of the originating repository.
+     */
+    vcs_url: string;
+    /**
+     * The originating VCS type. Can be one of `subversion`, `git`, `mercurial`, or `tfvc`. Please be aware that without this parameter, the import job will take additional time to detect the VCS type before beginning the import. This detection step will be reflected in the response.
+     */
+    vcs?: "subversion" | "git" | "mercurial" | "tfvc";
+    /**
+     * If authentication is required, the username to provide to `vcs_url`.
+     */
+    vcs_username?: string;
+    /**
+     * If authentication is required, the password to provide to `vcs_url`.
+     */
+    vcs_password?: string;
+    /**
+     * For a tfvc import, the name of the project that is being imported.
+     */
+    tfvc_project?: string;
+};
+declare type MigrationsStartImportRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/import";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsStartImportResponseData {
+    vcs: string;
+    use_lfs: string;
+    vcs_url: string;
+    status: string;
+    status_text: string;
+    has_large_files: boolean;
+    large_files_size: number;
+    large_files_count: number;
+    authors_count: number;
+    percent: number;
+    commit_count: number;
+    url: string;
+    html_url: string;
+    authors_url: string;
+    repository_url: string;
+    tfvc_project: string;
+}
+declare type MigrationsUnlockRepoForAuthenticatedUserEndpoint = {
+    migration_id: number;
+    repo_name: string;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsUnlockRepoForAuthenticatedUserRequestOptions = {
+    method: "DELETE";
+    url: "/user/migrations/:migration_id/repos/:repo_name/lock";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MigrationsUnlockRepoForOrgEndpoint = {
+    org: string;
+    migration_id: number;
+    repo_name: string;
+} & RequiredPreview<"wyandotte">;
+declare type MigrationsUnlockRepoForOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/migrations/:migration_id/repos/:repo_name/lock";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type MigrationsUpdateImportEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The username to provide to the originating repository.
+     */
+    vcs_username?: string;
+    /**
+     * The password to provide to the originating repository.
+     */
+    vcs_password?: string;
+};
+declare type MigrationsUpdateImportRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/import";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface MigrationsUpdateImportResponseData {
+    vcs: string;
+    use_lfs: string;
+    vcs_url: string;
+    status: string;
+    status_text: string;
+    has_large_files: boolean;
+    large_files_size: number;
+    large_files_count: number;
+    authors_count: number;
+    percent: number;
+    commit_count: number;
+    url: string;
+    html_url: string;
+    authors_url: string;
+    repository_url: string;
+    tfvc_project: string;
+}
+declare type OauthAuthorizationsCreateAuthorizationEndpoint = {
+    /**
+     * A list of scopes that this authorization is in.
+     */
+    scopes?: string[];
+    /**
+     * A note to remind you what the OAuth token is for. Tokens not associated with a specific OAuth application (i.e. personal access tokens) must have a unique note.
+     */
+    note: string;
+    /**
+     * A URL to remind you what app the OAuth token is for.
+     */
+    note_url?: string;
+    /**
+     * The 20 character OAuth app client key for which to create the token.
+     */
+    client_id?: string;
+    /**
+     * The 40 character OAuth app client secret for which to create the token.
+     */
+    client_secret?: string;
+    /**
+     * A unique string to distinguish an authorization from others created for the same client ID and user.
+     */
+    fingerprint?: string;
+};
+declare type OauthAuthorizationsCreateAuthorizationRequestOptions = {
+    method: "POST";
+    url: "/authorizations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OauthAuthorizationsCreateAuthorizationResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+}
+declare type OauthAuthorizationsDeleteAuthorizationEndpoint = {
+    authorization_id: number;
+};
+declare type OauthAuthorizationsDeleteAuthorizationRequestOptions = {
+    method: "DELETE";
+    url: "/authorizations/:authorization_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OauthAuthorizationsDeleteGrantEndpoint = {
+    grant_id: number;
+};
+declare type OauthAuthorizationsDeleteGrantRequestOptions = {
+    method: "DELETE";
+    url: "/applications/grants/:grant_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OauthAuthorizationsGetAuthorizationEndpoint = {
+    authorization_id: number;
+};
+declare type OauthAuthorizationsGetAuthorizationRequestOptions = {
+    method: "GET";
+    url: "/authorizations/:authorization_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OauthAuthorizationsGetAuthorizationResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+}
+declare type OauthAuthorizationsGetGrantEndpoint = {
+    grant_id: number;
+};
+declare type OauthAuthorizationsGetGrantRequestOptions = {
+    method: "GET";
+    url: "/applications/grants/:grant_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OauthAuthorizationsGetGrantResponseData {
+    id: number;
+    url: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    created_at: string;
+    updated_at: string;
+    scopes: string[];
+}
+declare type OauthAuthorizationsGetOrCreateAuthorizationForAppEndpoint = {
+    client_id: string;
+    /**
+     * The 40 character OAuth app client secret associated with the client ID specified in the URL.
+     */
+    client_secret: string;
+    /**
+     * A list of scopes that this authorization is in.
+     */
+    scopes?: string[];
+    /**
+     * A note to remind you what the OAuth token is for.
+     */
+    note?: string;
+    /**
+     * A URL to remind you what app the OAuth token is for.
+     */
+    note_url?: string;
+    /**
+     * A unique string to distinguish an authorization from others created for the same client and user. If provided, this API is functionally equivalent to [Get-or-create an authorization for a specific app and fingerprint](https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint).
+     */
+    fingerprint?: string;
+};
+declare type OauthAuthorizationsGetOrCreateAuthorizationForAppRequestOptions = {
+    method: "PUT";
+    url: "/authorizations/clients/:client_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OauthAuthorizationsGetOrCreateAuthorizationForAppResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+}
+export interface OauthAuthorizationsGetOrCreateAuthorizationForAppResponse201Data {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+}
+declare type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintEndpoint = {
+    client_id: string;
+    fingerprint: string;
+    /**
+     * The 40 character OAuth app client secret associated with the client ID specified in the URL.
+     */
+    client_secret: string;
+    /**
+     * A list of scopes that this authorization is in.
+     */
+    scopes?: string[];
+    /**
+     * A note to remind you what the OAuth token is for.
+     */
+    note?: string;
+    /**
+     * A URL to remind you what app the OAuth token is for.
+     */
+    note_url?: string;
+};
+declare type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintRequestOptions = {
+    method: "PUT";
+    url: "/authorizations/clients/:client_id/:fingerprint";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+}
+export interface OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintResponse201Data {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+}
+declare type OauthAuthorizationsListAuthorizationsEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OauthAuthorizationsListAuthorizationsRequestOptions = {
+    method: "GET";
+    url: "/authorizations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OauthAuthorizationsListAuthorizationsResponseData = {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+}[];
+declare type OauthAuthorizationsListGrantsEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OauthAuthorizationsListGrantsRequestOptions = {
+    method: "GET";
+    url: "/applications/grants";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OauthAuthorizationsListGrantsResponseData = {
+    id: number;
+    url: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    created_at: string;
+    updated_at: string;
+    scopes: string[];
+}[];
+declare type OauthAuthorizationsUpdateAuthorizationEndpoint = {
+    authorization_id: number;
+    /**
+     * Replaces the authorization scopes with these.
+     */
+    scopes?: string[];
+    /**
+     * A list of scopes to add to this authorization.
+     */
+    add_scopes?: string[];
+    /**
+     * A list of scopes to remove from this authorization.
+     */
+    remove_scopes?: string[];
+    /**
+     * A note to remind you what the OAuth token is for. Tokens not associated with a specific OAuth application (i.e. personal access tokens) must have a unique note.
+     */
+    note?: string;
+    /**
+     * A URL to remind you what app the OAuth token is for.
+     */
+    note_url?: string;
+    /**
+     * A unique string to distinguish an authorization from others created for the same client ID and user.
+     */
+    fingerprint?: string;
+};
+declare type OauthAuthorizationsUpdateAuthorizationRequestOptions = {
+    method: "PATCH";
+    url: "/authorizations/:authorization_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OauthAuthorizationsUpdateAuthorizationResponseData {
+    id: number;
+    url: string;
+    scopes: string[];
+    token: string;
+    token_last_eight: string;
+    hashed_token: string;
+    app: {
+        url: string;
+        name: string;
+        client_id: string;
+    };
+    note: string;
+    note_url: string;
+    updated_at: string;
+    created_at: string;
+    fingerprint: string;
+}
+declare type OrgsBlockUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsBlockUserRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/blocks/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsCheckBlockedUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsCheckBlockedUserRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/blocks/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsCheckMembershipForUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsCheckMembershipForUserRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/members/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsCheckPublicMembershipForUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsCheckPublicMembershipForUserRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/public_members/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsConvertMemberToOutsideCollaboratorEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsConvertMemberToOutsideCollaboratorRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/outside_collaborators/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsConvertMemberToOutsideCollaboratorResponseData {
+    message: string;
+    documentation_url: string;
+}
+declare type OrgsCreateInvitationEndpoint = {
+    org: string;
+    /**
+     * **Required unless you provide `email`**. GitHub user ID for the person you are inviting.
+     */
+    invitee_id?: number;
+    /**
+     * **Required unless you provide `invitee_id`**. Email address of the person you are inviting, which can be an existing GitHub user.
+     */
+    email?: string;
+    /**
+     * Specify role for new member. Can be one of:
+     * \* `admin` - Organization owners with full administrative rights to the organization and complete access to all repositories and teams.
+     * \* `direct_member` - Non-owner organization members with ability to see other members and join teams by invitation.
+     * \* `billing_manager` - Non-owner organization members with ability to manage the billing settings of your organization.
+     */
+    role?: "admin" | "direct_member" | "billing_manager";
+    /**
+     * Specify IDs for the teams you want to invite new members to.
+     */
+    team_ids?: number[];
+};
+declare type OrgsCreateInvitationRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/invitations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsCreateInvitationResponseData {
+    id: number;
+    login: string;
+    email: string;
+    role: string;
+    created_at: string;
+    inviter: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    team_count: number;
+    invitation_team_url: string;
+}
+declare type OrgsCreateWebhookEndpoint = {
+    org: string;
+    /**
+     * Must be passed as "web".
+     */
+    name: string;
+    /**
+     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/orgs/hooks/#create-hook-config-params).
+     */
+    config: OrgsCreateWebhookParamsConfig;
+    /**
+     * Determines what [events](https://developer.github.com/webhooks/event-payloads) the hook is triggered for.
+     */
+    events?: string[];
+    /**
+     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
+     */
+    active?: boolean;
+};
+declare type OrgsCreateWebhookRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/hooks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsCreateWebhookResponseData {
+    id: number;
+    url: string;
+    ping_url: string;
+    name: string;
+    events: string[];
+    active: boolean;
+    config: {
+        url: string;
+        content_type: string;
+    };
+    updated_at: string;
+    created_at: string;
+}
+declare type OrgsDeleteWebhookEndpoint = {
+    org: string;
+    hook_id: number;
+};
+declare type OrgsDeleteWebhookRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/hooks/:hook_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsGetEndpoint = {
+    org: string;
+};
+declare type OrgsGetRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsGetResponseData {
+    login: string;
+    id: number;
+    node_id: string;
+    url: string;
+    repos_url: string;
+    events_url: string;
+    hooks_url: string;
+    issues_url: string;
+    members_url: string;
+    public_members_url: string;
+    avatar_url: string;
+    description: string;
+    name: string;
+    company: string;
+    blog: string;
+    location: string;
+    email: string;
+    twitter_username: string;
+    is_verified: boolean;
+    has_organization_projects: boolean;
+    has_repository_projects: boolean;
+    public_repos: number;
+    public_gists: number;
+    followers: number;
+    following: number;
+    html_url: string;
+    created_at: string;
+    type: string;
+    total_private_repos: number;
+    owned_private_repos: number;
+    private_gists: number;
+    disk_usage: number;
+    collaborators: number;
+    billing_email: string;
+    plan: {
+        name: string;
+        space: number;
+        private_repos: number;
+        seats: number;
+        filled_seats: number;
+    };
+    default_repository_permission: string;
+    members_can_create_repositories: boolean;
+    two_factor_requirement_enabled: boolean;
+    members_allowed_repository_creation_type: string;
+    members_can_create_public_repositories: boolean;
+    members_can_create_private_repositories: boolean;
+    members_can_create_internal_repositories: boolean;
+}
+declare type OrgsGetMembershipForAuthenticatedUserEndpoint = {
+    org: string;
+};
+declare type OrgsGetMembershipForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/memberships/orgs/:org";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsGetMembershipForAuthenticatedUserResponseData {
+    url: string;
+    state: string;
+    role: string;
+    organization_url: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type OrgsGetMembershipForUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsGetMembershipForUserRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsGetMembershipForUserResponseData {
+    url: string;
+    state: string;
+    role: string;
+    organization_url: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type OrgsGetWebhookEndpoint = {
+    org: string;
+    hook_id: number;
+};
+declare type OrgsGetWebhookRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/hooks/:hook_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsGetWebhookResponseData {
+    id: number;
+    url: string;
+    ping_url: string;
+    name: string;
+    events: string[];
+    active: boolean;
+    config: {
+        url: string;
+        content_type: string;
+    };
+    updated_at: string;
+    created_at: string;
+}
+declare type OrgsListEndpoint = {
+    /**
+     * The integer ID of the last organization that you've seen.
+     */
+    since?: number;
+};
+declare type OrgsListRequestOptions = {
+    method: "GET";
+    url: "/organizations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    url: string;
+    repos_url: string;
+    events_url: string;
+    hooks_url: string;
+    issues_url: string;
+    members_url: string;
+    public_members_url: string;
+    avatar_url: string;
+    description: string;
+}[];
+declare type OrgsListAppInstallationsEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"machine-man">;
+declare type OrgsListAppInstallationsRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/installations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsListAppInstallationsResponseData {
+    total_count: number;
+    installations: {
+        id: number;
+        account: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repository_selection: "all" | "selected";
+        access_tokens_url: string;
+        repositories_url: string;
+        html_url: string;
+        app_id: number;
+        target_id: number;
+        target_type: string;
+        permissions: {
+            deployments: string;
+            metadata: string;
+            pull_requests: string;
+            statuses: string;
+        };
+        events: string[];
+        created_at: string;
+        updated_at: string;
+        single_file_name: string;
+    }[];
+}
+declare type OrgsListBlockedUsersEndpoint = {
+    org: string;
+};
+declare type OrgsListBlockedUsersRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/blocks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListBlockedUsersResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type OrgsListForAuthenticatedUserEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/orgs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListForAuthenticatedUserResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    url: string;
+    repos_url: string;
+    events_url: string;
+    hooks_url: string;
+    issues_url: string;
+    members_url: string;
+    public_members_url: string;
+    avatar_url: string;
+    description: string;
+}[];
+declare type OrgsListForUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/orgs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListForUserResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    url: string;
+    repos_url: string;
+    events_url: string;
+    hooks_url: string;
+    issues_url: string;
+    members_url: string;
+    public_members_url: string;
+    avatar_url: string;
+    description: string;
+}[];
+declare type OrgsListInvitationTeamsEndpoint = {
+    org: string;
+    invitation_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListInvitationTeamsRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/invitations/:invitation_id/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListInvitationTeamsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+}[];
+declare type OrgsListMembersEndpoint = {
+    org: string;
+    /**
+     * Filter members returned in the list. Can be one of:
+     * \* `2fa_disabled` - Members without [two-factor authentication](https://github.com/blog/1614-two-factor-authentication) enabled. Available for organization owners.
+     * \* `all` - All members the authenticated user can see.
+     */
+    filter?: "2fa_disabled" | "all";
+    /**
+     * Filter members returned by their role. Can be one of:
+     * \* `all` - All members of the organization, regardless of role.
+     * \* `admin` - Organization owners.
+     * \* `member` - Non-owner organization members.
+     */
+    role?: "all" | "admin" | "member";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListMembersRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/members";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListMembersResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type OrgsListMembershipsForAuthenticatedUserEndpoint = {
+    /**
+     * Indicates the state of the memberships to return. Can be either `active` or `pending`. If not specified, the API returns both active and pending memberships.
+     */
+    state?: "active" | "pending";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListMembershipsForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/memberships/orgs";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListMembershipsForAuthenticatedUserResponseData = {
+    url: string;
+    state: string;
+    role: string;
+    organization_url: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}[];
+declare type OrgsListOutsideCollaboratorsEndpoint = {
+    org: string;
+    /**
+     * Filter the list of outside collaborators. Can be one of:
+     * \* `2fa_disabled`: Outside collaborators without [two-factor authentication](https://github.com/blog/1614-two-factor-authentication) enabled.
+     * \* `all`: All outside collaborators.
+     */
+    filter?: "2fa_disabled" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListOutsideCollaboratorsRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/outside_collaborators";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListOutsideCollaboratorsResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type OrgsListPendingInvitationsEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListPendingInvitationsRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/invitations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListPendingInvitationsResponseData = {
+    id: number;
+    login: string;
+    email: string;
+    role: string;
+    created_at: string;
+    inviter: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    team_count: number;
+    invitation_team_url: string;
+}[];
+declare type OrgsListPublicMembersEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListPublicMembersRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/public_members";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListPublicMembersResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type OrgsListSamlSsoAuthorizationsEndpoint = {
+    org: string;
+};
+declare type OrgsListSamlSsoAuthorizationsRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/credential-authorizations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListSamlSsoAuthorizationsResponseData = {
+    login: string;
+    credential_id: string;
+    credential_type: string;
+    token_last_eight: string;
+    credential_authorized_at: string;
+    scopes: string[];
+}[];
+declare type OrgsListWebhooksEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type OrgsListWebhooksRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/hooks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type OrgsListWebhooksResponseData = {
+    id: number;
+    url: string;
+    ping_url: string;
+    name: string;
+    events: string[];
+    active: boolean;
+    config: {
+        url: string;
+        content_type: string;
+    };
+    updated_at: string;
+    created_at: string;
+}[];
+declare type OrgsPingWebhookEndpoint = {
+    org: string;
+    hook_id: number;
+};
+declare type OrgsPingWebhookRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/hooks/:hook_id/pings";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsRemoveMemberEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsRemoveMemberRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/members/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsRemoveMembershipForUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsRemoveMembershipForUserRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsRemoveOutsideCollaboratorEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsRemoveOutsideCollaboratorRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/outside_collaborators/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsRemoveOutsideCollaboratorResponseData {
+    message: string;
+    documentation_url: string;
+}
+declare type OrgsRemovePublicMembershipForAuthenticatedUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsRemovePublicMembershipForAuthenticatedUserRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/public_members/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsRemoveSamlSsoAuthorizationEndpoint = {
+    org: string;
+    credential_id: number;
+};
+declare type OrgsRemoveSamlSsoAuthorizationRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/credential-authorizations/:credential_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsSetMembershipForUserEndpoint = {
+    org: string;
+    username: string;
+    /**
+     * The role to give the user in the organization. Can be one of:
+     * \* `admin` - The user will become an owner of the organization.
+     * \* `member` - The user will become a non-owner member of the organization.
+     */
+    role?: "admin" | "member";
+};
+declare type OrgsSetMembershipForUserRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsSetMembershipForUserResponseData {
+    url: string;
+    state: string;
+    role: string;
+    organization_url: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type OrgsSetPublicMembershipForAuthenticatedUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsSetPublicMembershipForAuthenticatedUserRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/public_members/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsUnblockUserEndpoint = {
+    org: string;
+    username: string;
+};
+declare type OrgsUnblockUserRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/blocks/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type OrgsUpdateEndpoint = {
+    org: string;
+    /**
+     * Billing email address. This address is not publicized.
+     */
+    billing_email?: string;
+    /**
+     * The company name.
+     */
+    company?: string;
+    /**
+     * The publicly visible email address.
+     */
+    email?: string;
+    /**
+     * The Twitter username of the company.
+     */
+    twitter_username?: string;
+    /**
+     * The location.
+     */
+    location?: string;
+    /**
+     * The shorthand name of the company.
+     */
+    name?: string;
+    /**
+     * The description of the company.
+     */
+    description?: string;
+    /**
+     * Toggles whether an organization can use organization projects.
+     */
+    has_organization_projects?: boolean;
+    /**
+     * Toggles whether repositories that belong to the organization can use repository projects.
+     */
+    has_repository_projects?: boolean;
+    /**
+     * Default permission level members have for organization repositories:
+     * \* `read` - can pull, but not push to or administer this repository.
+     * \* `write` - can pull and push, but not administer this repository.
+     * \* `admin` - can pull, push, and administer this repository.
+     * \* `none` - no permissions granted by default.
+     */
+    default_repository_permission?: "read" | "write" | "admin" | "none";
+    /**
+     * Toggles the ability of non-admin organization members to create repositories. Can be one of:
+     * \* `true` - all organization members can create repositories.
+     * \* `false` - only organization owners can create repositories.
+     * Default: `true`
+     * **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details. **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details.
+     */
+    members_can_create_repositories?: boolean;
+    /**
+     * Toggles whether organization members can create internal repositories, which are visible to all enterprise members. You can only allow members to create internal repositories if your organization is associated with an enterprise account using GitHub Enterprise Cloud or GitHub Enterprise Server 2.20+. Can be one of:
+     * \* `true` - all organization members can create internal repositories.
+     * \* `false` - only organization owners can create internal repositories.
+     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://docs.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)".
+     */
+    members_can_create_internal_repositories?: boolean;
+    /**
+     * Toggles whether organization members can create private repositories, which are visible to organization members with permission. Can be one of:
+     * \* `true` - all organization members can create private repositories.
+     * \* `false` - only organization owners can create private repositories.
+     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://docs.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)".
+     */
+    members_can_create_private_repositories?: boolean;
+    /**
+     * Toggles whether organization members can create public repositories, which are visible to anyone. Can be one of:
+     * \* `true` - all organization members can create public repositories.
+     * \* `false` - only organization owners can create public repositories.
+     * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://docs.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)".
+     */
+    members_can_create_public_repositories?: boolean;
+    /**
+     * Specifies which types of repositories non-admin organization members can create. Can be one of:
+     * \* `all` - all organization members can create public and private repositories.
+     * \* `private` - members can create private repositories. This option is only available to repositories that are part of an organization on GitHub Enterprise Cloud.
+     * \* `none` - only admin members can create repositories.
+     * **Note:** This parameter is deprecated and will be removed in the future. Its return value ignores internal repositories. Using this parameter overrides values set in `members_can_create_repositories`. See [this note](https://developer.github.com/v3/orgs/#members_can_create_repositories) for details.
+     */
+    members_allowed_repository_creation_type?: "all" | "private" | "none";
+};
+declare type OrgsUpdateRequestOptions = {
+    method: "PATCH";
+    url: "/orgs/:org";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsUpdateResponseData {
+    login: string;
+    id: number;
+    node_id: string;
+    url: string;
+    repos_url: string;
+    events_url: string;
+    hooks_url: string;
+    issues_url: string;
+    members_url: string;
+    public_members_url: string;
+    avatar_url: string;
+    description: string;
+    name: string;
+    company: string;
+    blog: string;
+    location: string;
+    email: string;
+    twitter_username: string;
+    is_verified: boolean;
+    has_organization_projects: boolean;
+    has_repository_projects: boolean;
+    public_repos: number;
+    public_gists: number;
+    followers: number;
+    following: number;
+    html_url: string;
+    created_at: string;
+    type: string;
+    total_private_repos: number;
+    owned_private_repos: number;
+    private_gists: number;
+    disk_usage: number;
+    collaborators: number;
+    billing_email: string;
+    plan: {
+        name: string;
+        space: number;
+        private_repos: number;
+        seats: number;
+        filled_seats: number;
+    };
+    default_repository_permission: string;
+    members_can_create_repositories: boolean;
+    two_factor_requirement_enabled: boolean;
+    members_allowed_repository_creation_type: string;
+    members_can_create_public_repositories: boolean;
+    members_can_create_private_repositories: boolean;
+    members_can_create_internal_repositories: boolean;
+}
+declare type OrgsUpdateMembershipForAuthenticatedUserEndpoint = {
+    org: string;
+    /**
+     * The state that the membership should be in. Only `"active"` will be accepted.
+     */
+    state: "active";
+};
+declare type OrgsUpdateMembershipForAuthenticatedUserRequestOptions = {
+    method: "PATCH";
+    url: "/user/memberships/orgs/:org";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsUpdateMembershipForAuthenticatedUserResponseData {
+    url: string;
+    state: string;
+    role: string;
+    organization_url: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type OrgsUpdateWebhookEndpoint = {
+    org: string;
+    hook_id: number;
+    /**
+     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/orgs/hooks/#update-hook-config-params).
+     */
+    config?: OrgsUpdateWebhookParamsConfig;
+    /**
+     * Determines what [events](https://developer.github.com/webhooks/event-payloads) the hook is triggered for.
+     */
+    events?: string[];
+    /**
+     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
+     */
+    active?: boolean;
+};
+declare type OrgsUpdateWebhookRequestOptions = {
+    method: "PATCH";
+    url: "/orgs/:org/hooks/:hook_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface OrgsUpdateWebhookResponseData {
+    id: number;
+    url: string;
+    ping_url: string;
+    name: string;
+    events: string[];
+    active: boolean;
+    config: {
+        url: string;
+        content_type: string;
+    };
+    updated_at: string;
+    created_at: string;
+}
+declare type ProjectsAddCollaboratorEndpoint = {
+    project_id: number;
+    username: string;
+    /**
+     * The permission to grant the collaborator. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)." Can be one of:
+     * \* `read` - can read, but not write to or administer this project.
+     * \* `write` - can read and write, but not administer this project.
+     * \* `admin` - can read, write and administer this project.
+     */
+    permission?: "read" | "write" | "admin";
+} & RequiredPreview<"inertia">;
+declare type ProjectsAddCollaboratorRequestOptions = {
+    method: "PUT";
+    url: "/projects/:project_id/collaborators/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ProjectsCreateCardEndpoint = {
+    column_id: number;
+    /**
+     * The card's note content. Only valid for cards without another type of content, so you must omit when specifying `content_id` and `content_type`.
+     */
+    note?: string;
+    /**
+     * The issue or pull request id you want to associate with this card. You can use the [List repository issues](https://developer.github.com/v3/issues/#list-repository-issues) and [List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests) endpoints to find this id.
+     * **Note:** Depending on whether you use the issue id or pull request id, you will need to specify `Issue` or `PullRequest` as the `content_type`.
+     */
+    content_id?: number;
+    /**
+     * **Required if you provide `content_id`**. The type of content you want to associate with this card. Use `Issue` when `content_id` is an issue id and use `PullRequest` when `content_id` is a pull request id.
+     */
+    content_type?: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsCreateCardRequestOptions = {
+    method: "POST";
+    url: "/projects/columns/:column_id/cards";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsCreateCardResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    note: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    archived: boolean;
+    column_url: string;
+    content_url: string;
+    project_url: string;
+}
+declare type ProjectsCreateColumnEndpoint = {
+    project_id: number;
+    /**
+     * The name of the column.
+     */
+    name: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsCreateColumnRequestOptions = {
+    method: "POST";
+    url: "/projects/:project_id/columns";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsCreateColumnResponseData {
+    url: string;
+    project_url: string;
+    cards_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type ProjectsCreateForAuthenticatedUserEndpoint = {
+    /**
+     * The name of the project.
+     */
+    name: string;
+    /**
+     * The description of the project.
+     */
+    body?: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsCreateForAuthenticatedUserRequestOptions = {
+    method: "POST";
+    url: "/user/projects";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsCreateForAuthenticatedUserResponseData {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type ProjectsCreateForOrgEndpoint = {
+    org: string;
+    /**
+     * The name of the project.
+     */
+    name: string;
+    /**
+     * The description of the project.
+     */
+    body?: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsCreateForOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/projects";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsCreateForOrgResponseData {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type ProjectsCreateForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The name of the project.
+     */
+    name: string;
+    /**
+     * The description of the project.
+     */
+    body?: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsCreateForRepoRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/projects";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsCreateForRepoResponseData {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type ProjectsDeleteEndpoint = {
+    project_id: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsDeleteRequestOptions = {
+    method: "DELETE";
+    url: "/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ProjectsDeleteCardEndpoint = {
+    card_id: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsDeleteCardRequestOptions = {
+    method: "DELETE";
+    url: "/projects/columns/cards/:card_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ProjectsDeleteColumnEndpoint = {
+    column_id: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsDeleteColumnRequestOptions = {
+    method: "DELETE";
+    url: "/projects/columns/:column_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ProjectsGetEndpoint = {
+    project_id: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsGetRequestOptions = {
+    method: "GET";
+    url: "/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsGetResponseData {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type ProjectsGetCardEndpoint = {
+    card_id: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsGetCardRequestOptions = {
+    method: "GET";
+    url: "/projects/columns/cards/:card_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsGetCardResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    note: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    archived: boolean;
+    column_url: string;
+    content_url: string;
+    project_url: string;
+}
+declare type ProjectsGetColumnEndpoint = {
+    column_id: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsGetColumnRequestOptions = {
+    method: "GET";
+    url: "/projects/columns/:column_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsGetColumnResponseData {
+    url: string;
+    project_url: string;
+    cards_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type ProjectsGetPermissionForUserEndpoint = {
+    project_id: number;
+    username: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsGetPermissionForUserRequestOptions = {
+    method: "GET";
+    url: "/projects/:project_id/collaborators/:username/permission";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsGetPermissionForUserResponseData {
+    permission: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type ProjectsListCardsEndpoint = {
+    column_id: number;
+    /**
+     * Filters the project cards that are returned by the card's state. Can be one of `all`,`archived`, or `not_archived`.
+     */
+    archived_state?: "all" | "archived" | "not_archived";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsListCardsRequestOptions = {
+    method: "GET";
+    url: "/projects/columns/:column_id/cards";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ProjectsListCardsResponseData = {
+    url: string;
+    id: number;
+    node_id: string;
+    note: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    archived: boolean;
+    column_url: string;
+    content_url: string;
+    project_url: string;
+}[];
+declare type ProjectsListCollaboratorsEndpoint = {
+    project_id: number;
+    /**
+     * Filters the collaborators by their affiliation. Can be one of:
+     * \* `outside`: Outside collaborators of a project that are not a member of the project's organization.
+     * \* `direct`: Collaborators with permissions to a project, regardless of organization membership status.
+     * \* `all`: All collaborators the authenticated user can see.
+     */
+    affiliation?: "outside" | "direct" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsListCollaboratorsRequestOptions = {
+    method: "GET";
+    url: "/projects/:project_id/collaborators";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ProjectsListCollaboratorsResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type ProjectsListColumnsEndpoint = {
+    project_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsListColumnsRequestOptions = {
+    method: "GET";
+    url: "/projects/:project_id/columns";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ProjectsListColumnsResponseData = {
+    url: string;
+    project_url: string;
+    cards_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    created_at: string;
+    updated_at: string;
+}[];
+declare type ProjectsListForOrgEndpoint = {
+    org: string;
+    /**
+     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsListForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/projects";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ProjectsListForOrgResponseData = {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}[];
+declare type ProjectsListForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsListForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/projects";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ProjectsListForRepoResponseData = {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}[];
+declare type ProjectsListForUserEndpoint = {
+    username: string;
+    /**
+     * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsListForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/projects";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ProjectsListForUserResponseData = {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}[];
+declare type ProjectsMoveCardEndpoint = {
+    card_id: number;
+    /**
+     * Can be one of `top`, `bottom`, or `after:<card_id>`, where `<card_id>` is the `id` value of a card in the same column, or in the new column specified by `column_id`.
+     */
+    position: string;
+    /**
+     * The `id` value of a column in the same project.
+     */
+    column_id?: number;
+} & RequiredPreview<"inertia">;
+declare type ProjectsMoveCardRequestOptions = {
+    method: "POST";
+    url: "/projects/columns/cards/:card_id/moves";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ProjectsMoveColumnEndpoint = {
+    column_id: number;
+    /**
+     * Can be one of `first`, `last`, or `after:<column_id>`, where `<column_id>` is the `id` value of a column in the same project.
+     */
+    position: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsMoveColumnRequestOptions = {
+    method: "POST";
+    url: "/projects/columns/:column_id/moves";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ProjectsRemoveCollaboratorEndpoint = {
+    project_id: number;
+    username: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsRemoveCollaboratorRequestOptions = {
+    method: "DELETE";
+    url: "/projects/:project_id/collaborators/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ProjectsUpdateEndpoint = {
+    project_id: number;
+    /**
+     * The name of the project.
+     */
+    name?: string;
+    /**
+     * The description of the project.
+     */
+    body?: string;
+    /**
+     * State of the project. Either `open` or `closed`.
+     */
+    state?: "open" | "closed";
+    /**
+     * The permission level that determines whether all members of the project's organization can see and/or make changes to the project. Setting `organization_permission` is only available for organization projects. If an organization member belongs to a team with a higher level of access or is a collaborator with a higher level of access, their permission level is not lowered by `organization_permission`. For information on changing access for a team or collaborator, see [Add or update team project permissions](https://developer.github.com/v3/teams/#add-or-update-team-project-permissions) or [Add project collaborator](https://developer.github.com/v3/projects/collaborators/#add-project-collaborator).
+     *
+     * **Note:** Updating a project's `organization_permission` requires `admin` access to the project.
+     *
+     * Can be one of:
+     * \* `read` - Organization members can read, but not write to or administer this project.
+     * \* `write` - Organization members can read and write, but not administer this project.
+     * \* `admin` - Organization members can read, write and administer this project.
+     * \* `none` - Organization members can only see this project if it is public.
+     */
+    organization_permission?: string;
+    /**
+     * Sets the visibility of a project board. Setting `private` is only available for organization and user projects. **Note:** Updating a project's visibility requires `admin` access to the project.
+     *
+     * Can be one of:
+     * \* `false` - Anyone can see the project.
+     * \* `true` - Only the user can view a project board created on a user account. Organization members with the appropriate `organization_permission` can see project boards in an organization account.
+     */
+    private?: boolean;
+} & RequiredPreview<"inertia">;
+declare type ProjectsUpdateRequestOptions = {
+    method: "PATCH";
+    url: "/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsUpdateResponseData {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type ProjectsUpdateCardEndpoint = {
+    card_id: number;
+    /**
+     * The card's note content. Only valid for cards without another type of content, so this cannot be specified if the card already has a `content_id` and `content_type`.
+     */
+    note?: string;
+    /**
+     * Use `true` to archive a project card. Specify `false` if you need to restore a previously archived project card.
+     */
+    archived?: boolean;
+} & RequiredPreview<"inertia">;
+declare type ProjectsUpdateCardRequestOptions = {
+    method: "PATCH";
+    url: "/projects/columns/cards/:card_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsUpdateCardResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    note: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    archived: boolean;
+    column_url: string;
+    content_url: string;
+    project_url: string;
+}
+declare type ProjectsUpdateColumnEndpoint = {
+    column_id: number;
+    /**
+     * The new name of the column.
+     */
+    name: string;
+} & RequiredPreview<"inertia">;
+declare type ProjectsUpdateColumnRequestOptions = {
+    method: "PATCH";
+    url: "/projects/columns/:column_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ProjectsUpdateColumnResponseData {
+    url: string;
+    project_url: string;
+    cards_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    created_at: string;
+    updated_at: string;
+}
+declare type PullsCheckIfMergedEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+};
+declare type PullsCheckIfMergedRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number/merge";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type PullsCreateEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The title of the new pull request.
+     */
+    title: string;
+    /**
+     * The name of the branch where your changes are implemented. For cross-repository pull requests in the same network, namespace `head` with a user like this: `username:branch`.
+     */
+    head: string;
+    /**
+     * The name of the branch you want the changes pulled into. This should be an existing branch on the current repository. You cannot submit a pull request to one repository that requests a merge to a base of another repository.
+     */
+    base: string;
+    /**
+     * The contents of the pull request.
+     */
+    body?: string;
+    /**
+     * Indicates whether [maintainers can modify](https://docs.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
+     */
+    maintainer_can_modify?: boolean;
+    /**
+     * Indicates whether the pull request is a draft. See "[Draft Pull Requests](https://docs.github.com/en/articles/about-pull-requests#draft-pull-requests)" in the GitHub Help documentation to learn more.
+     */
+    draft?: boolean;
+};
+declare type PullsCreateRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pulls";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsCreateResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    html_url: string;
+    diff_url: string;
+    patch_url: string;
+    issue_url: string;
+    commits_url: string;
+    review_comments_url: string;
+    review_comment_url: string;
+    comments_url: string;
+    statuses_url: string;
+    number: number;
+    state: string;
+    locked: boolean;
+    title: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    active_lock_reason: string;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    merged_at: string;
+    merge_commit_sha: string;
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_reviewers: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_teams: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+        parent: {
+            [k: string]: unknown;
+        };
+    }[];
+    head: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    base: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        issue: {
+            href: string;
+        };
+        comments: {
+            href: string;
+        };
+        review_comments: {
+            href: string;
+        };
+        review_comment: {
+            href: string;
+        };
+        commits: {
+            href: string;
+        };
+        statuses: {
+            href: string;
+        };
+    };
+    author_association: string;
+    draft: boolean;
+    merged: boolean;
+    mergeable: boolean;
+    rebaseable: boolean;
+    mergeable_state: string;
+    merged_by: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    comments: number;
+    review_comments: number;
+    maintainer_can_modify: boolean;
+    commits: number;
+    additions: number;
+    deletions: number;
+    changed_files: number;
+}
+declare type PullsCreateReplyForReviewCommentEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    comment_id: number;
+    /**
+     * The text of the review comment.
+     */
+    body: string;
+};
+declare type PullsCreateReplyForReviewCommentRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsCreateReplyForReviewCommentResponseData {
+    url: string;
+    pull_request_review_id: number;
+    id: number;
+    node_id: string;
+    diff_hunk: string;
+    path: string;
+    position: number;
+    original_position: number;
+    commit_id: string;
+    original_commit_id: string;
+    in_reply_to_id: number;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    created_at: string;
+    updated_at: string;
+    html_url: string;
+    pull_request_url: string;
+    author_association: string;
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    start_line: number;
+    original_start_line: number;
+    start_side: string;
+    line: number;
+    original_line: number;
+    side: string;
+}
+declare type PullsCreateReviewEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * The SHA of the commit that needs a review. Not using the latest commit SHA may render your review comment outdated if a subsequent commit modifies the line you specify as the `position`. Defaults to the most recent commit in the pull request when you do not specify a value.
+     */
+    commit_id?: string;
+    /**
+     * **Required** when using `REQUEST_CHANGES` or `COMMENT` for the `event` parameter. The body text of the pull request review.
+     */
+    body?: string;
+    /**
+     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. By leaving this blank, you set the review action state to `PENDING`, which means you will need to [submit the pull request review](https://developer.github.com/v3/pulls/reviews/#submit-a-review-for-a-pull-request) when you are ready.
+     */
+    event?: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
+    /**
+     * Use the following table to specify the location, destination, and contents of the draft review comment.
+     */
+    comments?: PullsCreateReviewParamsComments[];
+};
+declare type PullsCreateReviewRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pulls/:pull_number/reviews";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsCreateReviewResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    state: string;
+    html_url: string;
+    pull_request_url: string;
+    _links: {
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    submitted_at: string;
+    commit_id: string;
+}
+declare type PullsCreateReviewCommentEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * The text of the review comment.
+     */
+    body: string;
+    /**
+     * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
+     */
+    commit_id: string;
+    /**
+     * The relative path to the file that necessitates a comment.
+     */
+    path: string;
+    /**
+     * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
+     */
+    position?: number;
+    /**
+     * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://docs.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)".
+     */
+    side?: "LEFT" | "RIGHT";
+    /**
+     * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
+     */
+    line?: number;
+    /**
+     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://docs.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)".
+     */
+    start_line?: number;
+    /**
+     * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://docs.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)". See `side` in this table for additional context.
+     */
+    start_side?: "LEFT" | "RIGHT" | "side";
+};
+declare type PullsCreateReviewCommentRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pulls/:pull_number/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsCreateReviewCommentResponseData {
+    url: string;
+    pull_request_review_id: number;
+    id: number;
+    node_id: string;
+    diff_hunk: string;
+    path: string;
+    position: number;
+    original_position: number;
+    commit_id: string;
+    original_commit_id: string;
+    in_reply_to_id: number;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    created_at: string;
+    updated_at: string;
+    html_url: string;
+    pull_request_url: string;
+    author_association: string;
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    start_line: number;
+    original_start_line: number;
+    start_side: string;
+    line: number;
+    original_line: number;
+    side: string;
+}
+declare type PullsDeletePendingReviewEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    review_id: number;
+};
+declare type PullsDeletePendingReviewRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsDeletePendingReviewResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    state: string;
+    html_url: string;
+    pull_request_url: string;
+    _links: {
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    commit_id: string;
+}
+declare type PullsDeleteReviewCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+};
+declare type PullsDeleteReviewCommentRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/pulls/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type PullsDismissReviewEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    review_id: number;
+    /**
+     * The message for the pull request review dismissal
+     */
+    message: string;
+};
+declare type PullsDismissReviewRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsDismissReviewResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    state: string;
+    html_url: string;
+    pull_request_url: string;
+    _links: {
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    submitted_at: string;
+    commit_id: string;
+}
+declare type PullsGetEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+};
+declare type PullsGetRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsGetResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    html_url: string;
+    diff_url: string;
+    patch_url: string;
+    issue_url: string;
+    commits_url: string;
+    review_comments_url: string;
+    review_comment_url: string;
+    comments_url: string;
+    statuses_url: string;
+    number: number;
+    state: string;
+    locked: boolean;
+    title: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    active_lock_reason: string;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    merged_at: string;
+    merge_commit_sha: string;
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_reviewers: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_teams: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+        parent: {
+            [k: string]: unknown;
+        };
+    }[];
+    head: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    base: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        issue: {
+            href: string;
+        };
+        comments: {
+            href: string;
+        };
+        review_comments: {
+            href: string;
+        };
+        review_comment: {
+            href: string;
+        };
+        commits: {
+            href: string;
+        };
+        statuses: {
+            href: string;
+        };
+    };
+    author_association: string;
+    draft: boolean;
+    merged: boolean;
+    mergeable: boolean;
+    rebaseable: boolean;
+    mergeable_state: string;
+    merged_by: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    comments: number;
+    review_comments: number;
+    maintainer_can_modify: boolean;
+    commits: number;
+    additions: number;
+    deletions: number;
+    changed_files: number;
+}
+declare type PullsGetReviewEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    review_id: number;
+};
+declare type PullsGetReviewRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsGetReviewResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    state: string;
+    html_url: string;
+    pull_request_url: string;
+    _links: {
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    submitted_at: string;
+    commit_id: string;
+}
+declare type PullsGetReviewCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+};
+declare type PullsGetReviewCommentRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsGetReviewCommentResponseData {
+    url: string;
+    pull_request_review_id: number;
+    id: number;
+    node_id: string;
+    diff_hunk: string;
+    path: string;
+    position: number;
+    original_position: number;
+    commit_id: string;
+    original_commit_id: string;
+    in_reply_to_id: number;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    created_at: string;
+    updated_at: string;
+    html_url: string;
+    pull_request_url: string;
+    author_association: string;
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    start_line: number;
+    original_start_line: number;
+    start_side: string;
+    line: number;
+    original_line: number;
+    side: string;
+}
+declare type PullsListEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Either `open`, `closed`, or `all` to filter by state.
+     */
+    state?: "open" | "closed" | "all";
+    /**
+     * Filter pulls by head user or head organization and branch name in the format of `user:ref-name` or `organization:ref-name`. For example: `github:new-script-format` or `octocat:test-branch`.
+     */
+    head?: string;
+    /**
+     * Filter pulls by base branch name. Example: `gh-pages`.
+     */
+    base?: string;
+    /**
+     * What to sort results by. Can be either `created`, `updated`, `popularity` (comment count) or `long-running` (age, filtering by pulls updated in the last month).
+     */
+    sort?: "created" | "updated" | "popularity" | "long-running";
+    /**
+     * The direction of the sort. Can be either `asc` or `desc`. Default: `desc` when sort is `created` or sort is not specified, otherwise `asc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type PullsListRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type PullsListResponseData = {
+    url: string;
+    id: number;
+    node_id: string;
+    html_url: string;
+    diff_url: string;
+    patch_url: string;
+    issue_url: string;
+    commits_url: string;
+    review_comments_url: string;
+    review_comment_url: string;
+    comments_url: string;
+    statuses_url: string;
+    number: number;
+    state: string;
+    locked: boolean;
+    title: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    active_lock_reason: string;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    merged_at: string;
+    merge_commit_sha: string;
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_reviewers: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_teams: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+        parent: {
+            [k: string]: unknown;
+        };
+    }[];
+    head: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    base: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        issue: {
+            href: string;
+        };
+        comments: {
+            href: string;
+        };
+        review_comments: {
+            href: string;
+        };
+        review_comment: {
+            href: string;
+        };
+        commits: {
+            href: string;
+        };
+        statuses: {
+            href: string;
+        };
+    };
+    author_association: string;
+    draft: boolean;
+}[];
+declare type PullsListCommentsForReviewEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    review_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type PullsListCommentsForReviewRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type PullsListCommentsForReviewResponseData = {
+    url: string;
+    pull_request_review_id: number;
+    id: number;
+    node_id: string;
+    diff_hunk: string;
+    path: string;
+    position: number;
+    original_position: number;
+    commit_id: string;
+    original_commit_id: string;
+    in_reply_to_id: number;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    created_at: string;
+    updated_at: string;
+    html_url: string;
+    pull_request_url: string;
+    author_association: string;
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+}[];
+declare type PullsListCommitsEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type PullsListCommitsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number/commits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type PullsListCommitsResponseData = {
+    url: string;
+    sha: string;
+    node_id: string;
+    html_url: string;
+    comments_url: string;
+    commit: {
+        url: string;
+        author: {
+            name: string;
+            email: string;
+            date: string;
+        };
+        committer: {
+            name: string;
+            email: string;
+            date: string;
+        };
+        message: string;
+        tree: {
+            url: string;
+            sha: string;
+        };
+        comment_count: number;
+        verification: {
+            verified: boolean;
+            reason: string;
+            signature: string;
+            payload: string;
+        };
+    };
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    committer: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    parents: {
+        url: string;
+        sha: string;
+    }[];
+}[];
+declare type PullsListFilesEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type PullsListFilesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number/files";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type PullsListFilesResponseData = {
+    sha: string;
+    filename: string;
+    status: string;
+    additions: number;
+    deletions: number;
+    changes: number;
+    blob_url: string;
+    raw_url: string;
+    contents_url: string;
+    patch: string;
+}[];
+declare type PullsListRequestedReviewersEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type PullsListRequestedReviewersRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsListRequestedReviewersResponseData {
+    users: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    teams: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+        parent: {
+            [k: string]: unknown;
+        };
+    }[];
+}
+declare type PullsListReviewCommentsEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * Can be either `created` or `updated` comments.
+     */
+    sort?: "created" | "updated";
+    /**
+     * Can be either `asc` or `desc`. Ignored without `sort` parameter.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type PullsListReviewCommentsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type PullsListReviewCommentsResponseData = {
+    url: string;
+    pull_request_review_id: number;
+    id: number;
+    node_id: string;
+    diff_hunk: string;
+    path: string;
+    position: number;
+    original_position: number;
+    commit_id: string;
+    original_commit_id: string;
+    in_reply_to_id: number;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    created_at: string;
+    updated_at: string;
+    html_url: string;
+    pull_request_url: string;
+    author_association: string;
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    start_line: number;
+    original_start_line: number;
+    start_side: string;
+    line: number;
+    original_line: number;
+    side: string;
+}[];
+declare type PullsListReviewCommentsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Can be either `created` or `updated` comments.
+     */
+    sort?: "created" | "updated";
+    /**
+     * Can be either `asc` or `desc`. Ignored without `sort` parameter.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
+     */
+    since?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type PullsListReviewCommentsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type PullsListReviewCommentsForRepoResponseData = {
+    url: string;
+    pull_request_review_id: number;
+    id: number;
+    node_id: string;
+    diff_hunk: string;
+    path: string;
+    position: number;
+    original_position: number;
+    commit_id: string;
+    original_commit_id: string;
+    in_reply_to_id: number;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    created_at: string;
+    updated_at: string;
+    html_url: string;
+    pull_request_url: string;
+    author_association: string;
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    start_line: number;
+    original_start_line: number;
+    start_side: string;
+    line: number;
+    original_line: number;
+    side: string;
+}[];
+declare type PullsListReviewsEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type PullsListReviewsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/:pull_number/reviews";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type PullsListReviewsResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    state: string;
+    html_url: string;
+    pull_request_url: string;
+    _links: {
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    submitted_at: string;
+    commit_id: string;
+}[];
+declare type PullsMergeEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * Title for the automatic commit message.
+     */
+    commit_title?: string;
+    /**
+     * Extra detail to append to automatic commit message.
+     */
+    commit_message?: string;
+    /**
+     * SHA that pull request head must match to allow merge.
+     */
+    sha?: string;
+    /**
+     * Merge method to use. Possible values are `merge`, `squash` or `rebase`. Default is `merge`.
+     */
+    merge_method?: "merge" | "squash" | "rebase";
+};
+declare type PullsMergeRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/pulls/:pull_number/merge";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsMergeResponseData {
+    sha: string;
+    merged: boolean;
+    message: string;
+}
+export interface PullsMergeResponse405Data {
+    message: string;
+    documentation_url: string;
+}
+export interface PullsMergeResponse409Data {
+    message: string;
+    documentation_url: string;
+}
+declare type PullsRemoveRequestedReviewersEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * An array of user `login`s that will be removed.
+     */
+    reviewers?: string[];
+    /**
+     * An array of team `slug`s that will be removed.
+     */
+    team_reviewers?: string[];
+};
+declare type PullsRemoveRequestedReviewersRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type PullsRequestReviewersEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * An array of user `login`s that will be requested.
+     */
+    reviewers?: string[];
+    /**
+     * An array of team `slug`s that will be requested.
+     */
+    team_reviewers?: string[];
+};
+declare type PullsRequestReviewersRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pulls/:pull_number/requested_reviewers";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsRequestReviewersResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    html_url: string;
+    diff_url: string;
+    patch_url: string;
+    issue_url: string;
+    commits_url: string;
+    review_comments_url: string;
+    review_comment_url: string;
+    comments_url: string;
+    statuses_url: string;
+    number: number;
+    state: string;
+    locked: boolean;
+    title: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    active_lock_reason: string;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    merged_at: string;
+    merge_commit_sha: string;
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_reviewers: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_teams: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+        parent: {
+            [k: string]: unknown;
+        };
+    }[];
+    head: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    base: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        issue: {
+            href: string;
+        };
+        comments: {
+            href: string;
+        };
+        review_comments: {
+            href: string;
+        };
+        review_comment: {
+            href: string;
+        };
+        commits: {
+            href: string;
+        };
+        statuses: {
+            href: string;
+        };
+    };
+    author_association: string;
+    draft: boolean;
+}
+declare type PullsSubmitReviewEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    review_id: number;
+    /**
+     * The body text of the pull request review
+     */
+    body?: string;
+    /**
+     * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. When you leave this blank, the API returns _HTTP 422 (Unrecognizable entity)_ and sets the review action state to `PENDING`, which means you will need to re-submit the pull request review using a review action.
+     */
+    event: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
+};
+declare type PullsSubmitReviewRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsSubmitReviewResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    state: string;
+    html_url: string;
+    pull_request_url: string;
+    _links: {
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    submitted_at: string;
+    commit_id: string;
+}
+declare type PullsUpdateEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * The title of the pull request.
+     */
+    title?: string;
+    /**
+     * The contents of the pull request.
+     */
+    body?: string;
+    /**
+     * State of this Pull Request. Either `open` or `closed`.
+     */
+    state?: "open" | "closed";
+    /**
+     * The name of the branch you want your changes pulled into. This should be an existing branch on the current repository. You cannot update the base branch on a pull request to point to another repository.
+     */
+    base?: string;
+    /**
+     * Indicates whether [maintainers can modify](https://docs.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
+     */
+    maintainer_can_modify?: boolean;
+};
+declare type PullsUpdateRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/pulls/:pull_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsUpdateResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    html_url: string;
+    diff_url: string;
+    patch_url: string;
+    issue_url: string;
+    commits_url: string;
+    review_comments_url: string;
+    review_comment_url: string;
+    comments_url: string;
+    statuses_url: string;
+    number: number;
+    state: string;
+    locked: boolean;
+    title: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    active_lock_reason: string;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    merged_at: string;
+    merge_commit_sha: string;
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_reviewers: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_teams: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+        parent: {
+            [k: string]: unknown;
+        };
+    }[];
+    head: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    base: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        issue: {
+            href: string;
+        };
+        comments: {
+            href: string;
+        };
+        review_comments: {
+            href: string;
+        };
+        review_comment: {
+            href: string;
+        };
+        commits: {
+            href: string;
+        };
+        statuses: {
+            href: string;
+        };
+    };
+    author_association: string;
+    draft: boolean;
+    merged: boolean;
+    mergeable: boolean;
+    rebaseable: boolean;
+    mergeable_state: string;
+    merged_by: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    comments: number;
+    review_comments: number;
+    maintainer_can_modify: boolean;
+    commits: number;
+    additions: number;
+    deletions: number;
+    changed_files: number;
+}
+declare type PullsUpdateBranchEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    /**
+     * The expected SHA of the pull request's HEAD ref. This is the most recent commit on the pull request's branch. If the expected SHA does not match the pull request's HEAD, you will receive a `422 Unprocessable Entity` status. You can use the "[List commits](https://developer.github.com/v3/repos/commits/#list-commits)" endpoint to find the most recent commit SHA. Default: SHA of the pull request's current HEAD ref.
+     */
+    expected_head_sha?: string;
+} & RequiredPreview<"lydian">;
+declare type PullsUpdateBranchRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/pulls/:pull_number/update-branch";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsUpdateBranchResponseData {
+    message: string;
+    url: string;
+}
+declare type PullsUpdateReviewEndpoint = {
+    owner: string;
+    repo: string;
+    pull_number: number;
+    review_id: number;
+    /**
+     * The body text of the pull request review.
+     */
+    body: string;
+};
+declare type PullsUpdateReviewRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/pulls/:pull_number/reviews/:review_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsUpdateReviewResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    state: string;
+    html_url: string;
+    pull_request_url: string;
+    _links: {
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    submitted_at: string;
+    commit_id: string;
+}
+declare type PullsUpdateReviewCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * The text of the reply to the review comment.
+     */
+    body: string;
+};
+declare type PullsUpdateReviewCommentRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/pulls/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface PullsUpdateReviewCommentResponseData {
+    url: string;
+    pull_request_review_id: number;
+    id: number;
+    node_id: string;
+    diff_hunk: string;
+    path: string;
+    position: number;
+    original_position: number;
+    commit_id: string;
+    original_commit_id: string;
+    in_reply_to_id: number;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    created_at: string;
+    updated_at: string;
+    html_url: string;
+    pull_request_url: string;
+    author_association: string;
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        pull_request: {
+            href: string;
+        };
+    };
+    start_line: number;
+    original_start_line: number;
+    start_side: string;
+    line: number;
+    original_line: number;
+    side: string;
+}
+declare type RateLimitGetEndpoint = {};
+declare type RateLimitGetRequestOptions = {
+    method: "GET";
+    url: "/rate_limit";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface RateLimitGetResponseData {
+    resources: {
+        core: {
+            limit: number;
+            remaining: number;
+            reset: number;
+        };
+        search: {
+            limit: number;
+            remaining: number;
+            reset: number;
+        };
+        graphql: {
+            limit: number;
+            remaining: number;
+            reset: number;
+        };
+        integration_manifest: {
+            limit: number;
+            remaining: number;
+            reset: number;
+        };
+    };
+    rate: {
+        limit: number;
+        remaining: number;
+        reset: number;
+    };
+}
+declare type ReactionsCreateForCommitCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the commit comment.
+     */
+    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsCreateForCommitCommentRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/comments/:comment_id/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReactionsCreateForCommitCommentResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}
+declare type ReactionsCreateForIssueEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue.
+     */
+    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsCreateForIssueRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/issues/:issue_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReactionsCreateForIssueResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}
+declare type ReactionsCreateForIssueCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue comment.
+     */
+    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsCreateForIssueCommentRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/issues/comments/:comment_id/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReactionsCreateForIssueCommentResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}
+declare type ReactionsCreateForPullRequestReviewCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the pull request review comment.
+     */
+    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsCreateForPullRequestReviewCommentRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pulls/comments/:comment_id/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReactionsCreateForPullRequestReviewCommentResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}
+declare type ReactionsCreateForTeamDiscussionCommentInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    comment_number: number;
+    /**
+     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
+     */
+    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsCreateForTeamDiscussionCommentInOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReactionsCreateForTeamDiscussionCommentInOrgResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}
+declare type ReactionsCreateForTeamDiscussionCommentLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    comment_number: number;
+    /**
+     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
+     */
+    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsCreateForTeamDiscussionCommentLegacyRequestOptions = {
+    method: "POST";
+    url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReactionsCreateForTeamDiscussionCommentLegacyResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}
+declare type ReactionsCreateForTeamDiscussionInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    /**
+     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
+     */
+    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsCreateForTeamDiscussionInOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReactionsCreateForTeamDiscussionInOrgResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}
+declare type ReactionsCreateForTeamDiscussionLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    /**
+     * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
+     */
+    content: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsCreateForTeamDiscussionLegacyRequestOptions = {
+    method: "POST";
+    url: "/teams/:team_id/discussions/:discussion_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReactionsCreateForTeamDiscussionLegacyResponseData {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}
+declare type ReactionsDeleteForCommitCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    reaction_id: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsDeleteForCommitCommentRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/comments/:comment_id/reactions/:reaction_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReactionsDeleteForIssueEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    reaction_id: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsDeleteForIssueRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/issues/:issue_number/reactions/:reaction_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReactionsDeleteForIssueCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    reaction_id: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsDeleteForIssueCommentRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/issues/comments/:comment_id/reactions/:reaction_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReactionsDeleteForPullRequestCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    reaction_id: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsDeleteForPullRequestCommentRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/pulls/comments/:comment_id/reactions/:reaction_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReactionsDeleteForTeamDiscussionEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    reaction_id: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsDeleteForTeamDiscussionRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions/:reaction_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReactionsDeleteForTeamDiscussionCommentEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    comment_number: number;
+    reaction_id: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsDeleteForTeamDiscussionCommentRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions/:reaction_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReactionsDeleteLegacyEndpoint = {
+    reaction_id: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsDeleteLegacyRequestOptions = {
+    method: "DELETE";
+    url: "/reactions/:reaction_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReactionsListForCommitCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a commit comment.
+     */
+    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsListForCommitCommentRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/comments/:comment_id/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReactionsListForCommitCommentResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}[];
+declare type ReactionsListForIssueEndpoint = {
+    owner: string;
+    repo: string;
+    issue_number: number;
+    /**
+     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue.
+     */
+    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsListForIssueRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/:issue_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReactionsListForIssueResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}[];
+declare type ReactionsListForIssueCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue comment.
+     */
+    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsListForIssueCommentRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/issues/comments/:comment_id/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReactionsListForIssueCommentResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}[];
+declare type ReactionsListForPullRequestReviewCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a pull request review comment.
+     */
+    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsListForPullRequestReviewCommentRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pulls/comments/:comment_id/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReactionsListForPullRequestReviewCommentResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}[];
+declare type ReactionsListForTeamDiscussionCommentInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    comment_number: number;
+    /**
+     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
+     */
+    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsListForTeamDiscussionCommentInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReactionsListForTeamDiscussionCommentInOrgResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}[];
+declare type ReactionsListForTeamDiscussionCommentLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    comment_number: number;
+    /**
+     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
+     */
+    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsListForTeamDiscussionCommentLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReactionsListForTeamDiscussionCommentLegacyResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}[];
+declare type ReactionsListForTeamDiscussionInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    /**
+     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
+     */
+    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsListForTeamDiscussionInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReactionsListForTeamDiscussionInOrgResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}[];
+declare type ReactionsListForTeamDiscussionLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    /**
+     * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
+     */
+    content?: "+1" | "-1" | "laugh" | "confused" | "heart" | "hooray" | "rocket" | "eyes";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"squirrel-girl">;
+declare type ReactionsListForTeamDiscussionLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/discussions/:discussion_number/reactions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReactionsListForTeamDiscussionLegacyResponseData = {
+    id: number;
+    node_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    content: string;
+    created_at: string;
+}[];
+declare type ReposAcceptInvitationEndpoint = {
+    invitation_id: number;
+};
+declare type ReposAcceptInvitationRequestOptions = {
+    method: "PATCH";
+    url: "/user/repository_invitations/:invitation_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposAddAppAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * apps parameter
+     */
+    apps: string[];
+};
+declare type ReposAddAppAccessRestrictionsRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposAddAppAccessRestrictionsResponseData = {
+    id: number;
+    slug: string;
+    node_id: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    name: string;
+    description: string;
+    external_url: string;
+    html_url: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        metadata: string;
+        contents: string;
+        issues: string;
+        single_file: string;
+    };
+    events: string[];
+}[];
+declare type ReposAddCollaboratorEndpoint = {
+    owner: string;
+    repo: string;
+    username: string;
+    /**
+     * The permission to grant the collaborator. **Only valid on organization-owned repositories.** Can be one of:
+     * \* `pull` - can pull, but not push to or administer this repository.
+     * \* `push` - can pull and push, but not administer this repository.
+     * \* `admin` - can pull, push and administer this repository.
+     * \* `maintain` - Recommended for project managers who need to manage the repository without access to sensitive or destructive actions.
+     * \* `triage` - Recommended for contributors who need to proactively manage issues and pull requests without write access.
+     */
+    permission?: "pull" | "push" | "admin" | "maintain" | "triage";
+};
+declare type ReposAddCollaboratorRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/collaborators/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposAddCollaboratorResponseData {
+    id: number;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    invitee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    inviter: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    permissions: string;
+    created_at: string;
+    url: string;
+    html_url: string;
+}
+declare type ReposAddStatusCheckContextsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * contexts parameter
+     */
+    contexts: string[];
+};
+declare type ReposAddStatusCheckContextsRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposAddStatusCheckContextsResponseData = string[];
+declare type ReposAddTeamAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * teams parameter
+     */
+    teams: string[];
+};
+declare type ReposAddTeamAccessRestrictionsRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposAddTeamAccessRestrictionsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+}[];
+declare type ReposAddUserAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * users parameter
+     */
+    users: string[];
+};
+declare type ReposAddUserAccessRestrictionsRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposAddUserAccessRestrictionsResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type ReposCheckCollaboratorEndpoint = {
+    owner: string;
+    repo: string;
+    username: string;
+};
+declare type ReposCheckCollaboratorRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/collaborators/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposCheckVulnerabilityAlertsEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"dorian">;
+declare type ReposCheckVulnerabilityAlertsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/vulnerability-alerts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposCompareCommitsEndpoint = {
+    owner: string;
+    repo: string;
+    base: string;
+    head: string;
+};
+declare type ReposCompareCommitsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/compare/:base...:head";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCompareCommitsResponseData {
+    url: string;
+    html_url: string;
+    permalink_url: string;
+    diff_url: string;
+    patch_url: string;
+    base_commit: {
+        url: string;
+        sha: string;
+        node_id: string;
+        html_url: string;
+        comments_url: string;
+        commit: {
+            url: string;
+            author: {
+                name: string;
+                email: string;
+                date: string;
+            };
+            committer: {
+                name: string;
+                email: string;
+                date: string;
+            };
+            message: string;
+            tree: {
+                url: string;
+                sha: string;
+            };
+            comment_count: number;
+            verification: {
+                verified: boolean;
+                reason: string;
+                signature: string;
+                payload: string;
+            };
+        };
+        author: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        committer: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        parents: {
+            url: string;
+            sha: string;
+        }[];
+    };
+    merge_base_commit: {
+        url: string;
+        sha: string;
+        node_id: string;
+        html_url: string;
+        comments_url: string;
+        commit: {
+            url: string;
+            author: {
+                name: string;
+                email: string;
+                date: string;
+            };
+            committer: {
+                name: string;
+                email: string;
+                date: string;
+            };
+            message: string;
+            tree: {
+                url: string;
+                sha: string;
+            };
+            comment_count: number;
+            verification: {
+                verified: boolean;
+                reason: string;
+                signature: string;
+                payload: string;
+            };
+        };
+        author: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        committer: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        parents: {
+            url: string;
+            sha: string;
+        }[];
+    };
+    status: string;
+    ahead_by: number;
+    behind_by: number;
+    total_commits: number;
+    commits: {
+        url: string;
+        sha: string;
+        node_id: string;
+        html_url: string;
+        comments_url: string;
+        commit: {
+            url: string;
+            author: {
+                name: string;
+                email: string;
+                date: string;
+            };
+            committer: {
+                name: string;
+                email: string;
+                date: string;
+            };
+            message: string;
+            tree: {
+                url: string;
+                sha: string;
+            };
+            comment_count: number;
+            verification: {
+                verified: boolean;
+                reason: string;
+                signature: string;
+                payload: string;
+            };
+        };
+        author: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        committer: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        parents: {
+            url: string;
+            sha: string;
+        }[];
+    }[];
+    files: {
+        sha: string;
+        filename: string;
+        status: string;
+        additions: number;
+        deletions: number;
+        changes: number;
+        blob_url: string;
+        raw_url: string;
+        contents_url: string;
+        patch: string;
+    }[];
+}
+declare type ReposCreateCommitCommentEndpoint = {
+    owner: string;
+    repo: string;
+    commit_sha: string;
+    /**
+     * The contents of the comment.
+     */
+    body: string;
+    /**
+     * Relative path of the file to comment on.
+     */
+    path?: string;
+    /**
+     * Line index in the diff to comment on.
+     */
+    position?: number;
+    /**
+     * **Deprecated**. Use **position** parameter instead. Line number in the file to comment on.
+     */
+    line?: number | null;
+};
+declare type ReposCreateCommitCommentRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/commits/:commit_sha/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateCommitCommentResponseData {
+    html_url: string;
+    url: string;
+    id: number;
+    node_id: string;
+    body: string;
+    path: string;
+    position: number;
+    line: number;
+    commit_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type ReposCreateCommitSignatureProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+} & RequiredPreview<"zzzax">;
+declare type ReposCreateCommitSignatureProtectionRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateCommitSignatureProtectionResponseData {
+    url: string;
+    enabled: boolean;
+}
+declare type ReposCreateCommitStatusEndpoint = {
+    owner: string;
+    repo: string;
+    sha: string;
+    /**
+     * The state of the status. Can be one of `error`, `failure`, `pending`, or `success`.
+     */
+    state: "error" | "failure" | "pending" | "success";
+    /**
+     * The target URL to associate with this status. This URL will be linked from the GitHub UI to allow users to easily see the source of the status.
+     * For example, if your continuous integration system is posting build status, you would want to provide the deep link for the build output for this specific SHA:
+     * `http://ci.example.com/user/repo/build/sha`
+     */
+    target_url?: string;
+    /**
+     * A short description of the status.
+     */
+    description?: string;
+    /**
+     * A string label to differentiate this status from the status of other systems.
+     */
+    context?: string;
+};
+declare type ReposCreateCommitStatusRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/statuses/:sha";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateCommitStatusResponseData {
+    url: string;
+    avatar_url: string;
+    id: number;
+    node_id: string;
+    state: string;
+    description: string;
+    target_url: string;
+    context: string;
+    created_at: string;
+    updated_at: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type ReposCreateDeployKeyEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * A name for the key.
+     */
+    title?: string;
+    /**
+     * The contents of the key.
+     */
+    key: string;
+    /**
+     * If `true`, the key will only be able to read repository contents. Otherwise, the key will be able to read and write.
+     *
+     * Deploy keys with write access can perform the same actions as an organization member with admin access, or a collaborator on a personal repository. For more information, see "[Repository permission levels for an organization](https://docs.github.com/articles/repository-permission-levels-for-an-organization/)" and "[Permission levels for a user account repository](https://docs.github.com/articles/permission-levels-for-a-user-account-repository/)."
+     */
+    read_only?: boolean;
+};
+declare type ReposCreateDeployKeyRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/keys";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateDeployKeyResponseData {
+    id: number;
+    key: string;
+    url: string;
+    title: string;
+    verified: boolean;
+    created_at: string;
+    read_only: boolean;
+}
+declare type ReposCreateDeploymentEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The ref to deploy. This can be a branch, tag, or SHA.
+     */
+    ref: string;
+    /**
+     * Specifies a task to execute (e.g., `deploy` or `deploy:migrations`).
+     */
+    task?: string;
+    /**
+     * Attempts to automatically merge the default branch into the requested ref, if it's behind the default branch.
+     */
+    auto_merge?: boolean;
+    /**
+     * The [status](https://developer.github.com/v3/repos/statuses/) contexts to verify against commit status checks. If you omit this parameter, GitHub verifies all unique contexts before creating a deployment. To bypass checking entirely, pass an empty array. Defaults to all unique contexts.
+     */
+    required_contexts?: string[];
+    /**
+     * JSON payload with extra information about the deployment.
+     */
+    payload?: any;
+    /**
+     * Name for the target deployment environment (e.g., `production`, `staging`, `qa`).
+     */
+    environment?: string;
+    /**
+     * Short description of the deployment.
+     */
+    description?: string;
+    /**
+     * Specifies if the given environment is specific to the deployment and will no longer exist at some point in the future. Default: `false`
+     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
+     */
+    transient_environment?: boolean;
+    /**
+     * Specifies if the given environment is one that end-users directly interact with. Default: `true` when `environment` is `production` and `false` otherwise.
+     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
+     */
+    production_environment?: boolean;
+};
+declare type ReposCreateDeploymentRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/deployments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateDeploymentResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    sha: string;
+    ref: string;
+    task: string;
+    payload: {
+        deploy: string;
+    };
+    original_environment: string;
+    environment: string;
+    description: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    statuses_url: string;
+    repository_url: string;
+    transient_environment: boolean;
+    production_environment: boolean;
+}
+export interface ReposCreateDeploymentResponse202Data {
+    message: string;
+}
+export interface ReposCreateDeploymentResponse409Data {
+    message: string;
+}
+declare type ReposCreateDeploymentStatusEndpoint = {
+    owner: string;
+    repo: string;
+    deployment_id: number;
+    /**
+     * The state of the status. Can be one of `error`, `failure`, `inactive`, `in_progress`, `queued` `pending`, or `success`. **Note:** To use the `inactive` state, you must provide the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. To use the `in_progress` and `queued` states, you must provide the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type. When you set a transient deployment to `inactive`, the deployment will be shown as `destroyed` in GitHub.
+     */
+    state: "error" | "failure" | "inactive" | "in_progress" | "queued" | "pending" | "success";
+    /**
+     * The target URL to associate with this status. This URL should contain output to keep the user updated while the task is running or serve as historical information for what happened in the deployment. **Note:** It's recommended to use the `log_url` parameter, which replaces `target_url`.
+     */
+    target_url?: string;
+    /**
+     * The full URL of the deployment's output. This parameter replaces `target_url`. We will continue to accept `target_url` to support legacy uses, but we recommend replacing `target_url` with `log_url`. Setting `log_url` will automatically set `target_url` to the same value. Default: `""`
+     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
+     */
+    log_url?: string;
+    /**
+     * A short description of the status. The maximum description length is 140 characters.
+     */
+    description?: string;
+    /**
+     * Name for the target deployment environment, which can be changed when setting a deploy status. For example, `production`, `staging`, or `qa`. **Note:** This parameter requires you to use the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
+     */
+    environment?: "production" | "staging" | "qa";
+    /**
+     * Sets the URL for accessing your environment. Default: `""`
+     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
+     */
+    environment_url?: string;
+    /**
+     * Adds a new `inactive` status to all prior non-transient, non-production environment deployments with the same repository and `environment` name as the created status's deployment. An `inactive` status is only added to deployments that had a `success` state. Default: `true`
+     * **Note:** To add an `inactive` status to `production` environments, you must use the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
+     * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
+     */
+    auto_inactive?: boolean;
+};
+declare type ReposCreateDeploymentStatusRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/deployments/:deployment_id/statuses";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateDeploymentStatusResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    description: string;
+    environment: string;
+    target_url: string;
+    created_at: string;
+    updated_at: string;
+    deployment_url: string;
+    repository_url: string;
+    environment_url: string;
+    log_url: string;
+}
+declare type ReposCreateDispatchEventEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * **Required:** A custom webhook event name.
+     */
+    event_type: string;
+    /**
+     * JSON payload with extra information about the webhook event that your action or worklow may use.
+     */
+    client_payload?: ReposCreateDispatchEventParamsClientPayload;
+};
+declare type ReposCreateDispatchEventRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/dispatches";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposCreateForAuthenticatedUserEndpoint = {
+    /**
+     * The name of the repository.
+     */
+    name: string;
+    /**
+     * A short description of the repository.
+     */
+    description?: string;
+    /**
+     * A URL with more information about the repository.
+     */
+    homepage?: string;
+    /**
+     * Either `true` to create a private repository or `false` to create a public one.
+     */
+    private?: boolean;
+    /**
+     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud or GitHub Enterprise Server 2.20+, `visibility` can also be `internal`. For more information, see "[Creating an internal repository](https://docs.github.com/github/creating-cloning-and-archiving-repositories/creating-an-internal-repository)".
+     * The `visibility` parameter overrides the `private` parameter when you use both parameters with the `nebula-preview` preview header.
+     */
+    visibility?: "public" | "private" | "visibility" | "internal";
+    /**
+     * Either `true` to enable issues for this repository or `false` to disable them.
+     */
+    has_issues?: boolean;
+    /**
+     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
+     */
+    has_projects?: boolean;
+    /**
+     * Either `true` to enable the wiki for this repository or `false` to disable it.
+     */
+    has_wiki?: boolean;
+    /**
+     * Either `true` to make this repo available as a template repository or `false` to prevent it.
+     */
+    is_template?: boolean;
+    /**
+     * The id of the team that will be granted access to this repository. This is only valid when creating a repository in an organization.
+     */
+    team_id?: number;
+    /**
+     * Pass `true` to create an initial commit with empty README.
+     */
+    auto_init?: boolean;
+    /**
+     * Desired language or platform [.gitignore template](https://github.com/github/gitignore) to apply. Use the name of the template without the extension. For example, "Haskell".
+     */
+    gitignore_template?: string;
+    /**
+     * Choose an [open source license template](https://choosealicense.com/) that best suits your needs, and then use the [license keyword](https://docs.github.com/articles/licensing-a-repository/#searching-github-by-license-type) as the `license_template` string. For example, "mit" or "mpl-2.0".
+     */
+    license_template?: string;
+    /**
+     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
+     */
+    allow_squash_merge?: boolean;
+    /**
+     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
+     */
+    allow_merge_commit?: boolean;
+    /**
+     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
+     */
+    allow_rebase_merge?: boolean;
+    /**
+     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
+     */
+    delete_branch_on_merge?: boolean;
+};
+declare type ReposCreateForAuthenticatedUserRequestOptions = {
+    method: "POST";
+    url: "/user/repos";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateForAuthenticatedUserResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+}
+declare type ReposCreateForkEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Optional parameter to specify the organization name if forking into an organization.
+     */
+    organization?: string;
+};
+declare type ReposCreateForkRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/forks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateForkResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+}
+declare type ReposCreateInOrgEndpoint = {
+    org: string;
+    /**
+     * The name of the repository.
+     */
+    name: string;
+    /**
+     * A short description of the repository.
+     */
+    description?: string;
+    /**
+     * A URL with more information about the repository.
+     */
+    homepage?: string;
+    /**
+     * Either `true` to create a private repository or `false` to create a public one.
+     */
+    private?: boolean;
+    /**
+     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud or GitHub Enterprise Server 2.20+, `visibility` can also be `internal`. For more information, see "[Creating an internal repository](https://docs.github.com/en/github/creating-cloning-and-archiving-repositories/about-repository-visibility#about-internal-repositories)".
+     * The `visibility` parameter overrides the `private` parameter when you use both parameters with the `nebula-preview` preview header.
+     */
+    visibility?: "public" | "private" | "visibility" | "internal";
+    /**
+     * Either `true` to enable issues for this repository or `false` to disable them.
+     */
+    has_issues?: boolean;
+    /**
+     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
+     */
+    has_projects?: boolean;
+    /**
+     * Either `true` to enable the wiki for this repository or `false` to disable it.
+     */
+    has_wiki?: boolean;
+    /**
+     * Either `true` to make this repo available as a template repository or `false` to prevent it.
+     */
+    is_template?: boolean;
+    /**
+     * The id of the team that will be granted access to this repository. This is only valid when creating a repository in an organization.
+     */
+    team_id?: number;
+    /**
+     * Pass `true` to create an initial commit with empty README.
+     */
+    auto_init?: boolean;
+    /**
+     * Desired language or platform [.gitignore template](https://github.com/github/gitignore) to apply. Use the name of the template without the extension. For example, "Haskell".
+     */
+    gitignore_template?: string;
+    /**
+     * Choose an [open source license template](https://choosealicense.com/) that best suits your needs, and then use the [license keyword](https://docs.github.com/articles/licensing-a-repository/#searching-github-by-license-type) as the `license_template` string. For example, "mit" or "mpl-2.0".
+     */
+    license_template?: string;
+    /**
+     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
+     */
+    allow_squash_merge?: boolean;
+    /**
+     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
+     */
+    allow_merge_commit?: boolean;
+    /**
+     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
+     */
+    allow_rebase_merge?: boolean;
+    /**
+     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
+     */
+    delete_branch_on_merge?: boolean;
+};
+declare type ReposCreateInOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/repos";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateInOrgResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+}
+declare type ReposCreateOrUpdateFileContentsEndpoint = {
+    owner: string;
+    repo: string;
+    path: string;
+    /**
+     * The commit message.
+     */
+    message: string;
+    /**
+     * The new file content, using Base64 encoding.
+     */
+    content: string;
+    /**
+     * **Required if you are updating a file**. The blob SHA of the file being replaced.
+     */
+    sha?: string;
+    /**
+     * The branch name. Default: the repository’s default branch (usually `master`)
+     */
+    branch?: string;
+    /**
+     * The person that committed the file. Default: the authenticated user.
+     */
+    committer?: ReposCreateOrUpdateFileContentsParamsCommitter;
+    /**
+     * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
+     */
+    author?: ReposCreateOrUpdateFileContentsParamsAuthor;
+};
+declare type ReposCreateOrUpdateFileContentsRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/contents/:path";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateOrUpdateFileContentsResponseData {
+    content: {
+        name: string;
+        path: string;
+        sha: string;
+        size: number;
+        url: string;
+        html_url: string;
+        git_url: string;
+        download_url: string;
+        type: string;
+        _links: {
+            self: string;
+            git: string;
+            html: string;
+        };
+    };
+    commit: {
+        sha: string;
+        node_id: string;
+        url: string;
+        html_url: string;
+        author: {
+            date: string;
+            name: string;
+            email: string;
+        };
+        committer: {
+            date: string;
+            name: string;
+            email: string;
+        };
+        message: string;
+        tree: {
+            url: string;
+            sha: string;
+        };
+        parents: {
+            url: string;
+            html_url: string;
+            sha: string;
+        }[];
+        verification: {
+            verified: boolean;
+            reason: string;
+            signature: string;
+            payload: string;
+        };
+    };
+}
+export interface ReposCreateOrUpdateFileContentsResponse201Data {
+    content: {
+        name: string;
+        path: string;
+        sha: string;
+        size: number;
+        url: string;
+        html_url: string;
+        git_url: string;
+        download_url: string;
+        type: string;
+        _links: {
+            self: string;
+            git: string;
+            html: string;
+        };
+    };
+    commit: {
+        sha: string;
+        node_id: string;
+        url: string;
+        html_url: string;
+        author: {
+            date: string;
+            name: string;
+            email: string;
+        };
+        committer: {
+            date: string;
+            name: string;
+            email: string;
+        };
+        message: string;
+        tree: {
+            url: string;
+            sha: string;
+        };
+        parents: {
+            url: string;
+            html_url: string;
+            sha: string;
+        }[];
+        verification: {
+            verified: boolean;
+            reason: string;
+            signature: string;
+            payload: string;
+        };
+    };
+}
+declare type ReposCreatePagesSiteEndpoint = {
+    owner: string;
+    repo: string;
+    source?: ReposCreatePagesSiteParamsSource;
+} & RequiredPreview<"switcheroo">;
+declare type ReposCreatePagesSiteRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pages";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreatePagesSiteResponseData {
+    url: string;
+    status: string;
+    cname: string;
+    custom_404: boolean;
+    html_url: string;
+    source: {
+        branch: string;
+        directory: string;
+    };
+}
+declare type ReposCreateReleaseEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The name of the tag.
+     */
+    tag_name: string;
+    /**
+     * Specifies the commitish value that determines where the Git tag is created from. Can be any branch or commit SHA. Unused if the Git tag already exists. Default: the repository's default branch (usually `master`).
+     */
+    target_commitish?: string;
+    /**
+     * The name of the release.
+     */
+    name?: string;
+    /**
+     * Text describing the contents of the tag.
+     */
+    body?: string;
+    /**
+     * `true` to create a draft (unpublished) release, `false` to create a published one.
+     */
+    draft?: boolean;
+    /**
+     * `true` to identify the release as a prerelease. `false` to identify the release as a full release.
+     */
+    prerelease?: boolean;
+};
+declare type ReposCreateReleaseRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/releases";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateReleaseResponseData {
+    url: string;
+    html_url: string;
+    assets_url: string;
+    upload_url: string;
+    tarball_url: string;
+    zipball_url: string;
+    id: number;
+    node_id: string;
+    tag_name: string;
+    target_commitish: string;
+    name: string;
+    body: string;
+    draft: boolean;
+    prerelease: boolean;
+    created_at: string;
+    published_at: string;
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assets: unknown[];
+}
+declare type ReposCreateUsingTemplateEndpoint = {
+    template_owner: string;
+    template_repo: string;
+    /**
+     * The organization or person who will own the new repository. To create a new repository in an organization, the authenticated user must be a member of the specified organization.
+     */
+    owner?: string;
+    /**
+     * The name of the new repository.
+     */
+    name: string;
+    /**
+     * A short description of the new repository.
+     */
+    description?: string;
+    /**
+     * Either `true` to create a new private repository or `false` to create a new public one.
+     */
+    private?: boolean;
+} & RequiredPreview<"baptiste">;
+declare type ReposCreateUsingTemplateRequestOptions = {
+    method: "POST";
+    url: "/repos/:template_owner/:template_repo/generate";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateUsingTemplateResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+}
+declare type ReposCreateWebhookEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Use `web` to create a webhook. Default: `web`. This parameter only accepts the value `web`.
+     */
+    name?: string;
+    /**
+     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/repos/hooks/#create-hook-config-params).
+     */
+    config: ReposCreateWebhookParamsConfig;
+    /**
+     * Determines what [events](https://developer.github.com/webhooks/event-payloads) the hook is triggered for.
+     */
+    events?: string[];
+    /**
+     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
+     */
+    active?: boolean;
+};
+declare type ReposCreateWebhookRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/hooks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposCreateWebhookResponseData {
+    type: string;
+    id: number;
+    name: string;
+    active: boolean;
+    events: string[];
+    config: {
+        content_type: string;
+        insecure_ssl: string;
+        url: string;
+    };
+    updated_at: string;
+    created_at: string;
+    url: string;
+    test_url: string;
+    ping_url: string;
+    last_response: {
+        code: string;
+        status: string;
+        message: string;
+    };
+}
+declare type ReposDeclineInvitationEndpoint = {
+    invitation_id: number;
+};
+declare type ReposDeclineInvitationRequestOptions = {
+    method: "DELETE";
+    url: "/user/repository_invitations/:invitation_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposDeleteRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposDeleteResponseData {
+    message: string;
+    documentation_url: string;
+}
+declare type ReposDeleteAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposDeleteAccessRestrictionsRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteAdminBranchProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposDeleteAdminBranchProtectionRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteBranchProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposDeleteBranchProtectionRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteCommitCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+};
+declare type ReposDeleteCommitCommentRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteCommitSignatureProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+} & RequiredPreview<"zzzax">;
+declare type ReposDeleteCommitSignatureProtectionRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteDeployKeyEndpoint = {
+    owner: string;
+    repo: string;
+    key_id: number;
+};
+declare type ReposDeleteDeployKeyRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/keys/:key_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteDeploymentEndpoint = {
+    owner: string;
+    repo: string;
+    deployment_id: number;
+};
+declare type ReposDeleteDeploymentRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/deployments/:deployment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteFileEndpoint = {
+    owner: string;
+    repo: string;
+    path: string;
+    /**
+     * The commit message.
+     */
+    message: string;
+    /**
+     * The blob SHA of the file being replaced.
+     */
+    sha: string;
+    /**
+     * The branch name. Default: the repository’s default branch (usually `master`)
+     */
+    branch?: string;
+    /**
+     * object containing information about the committer.
+     */
+    committer?: ReposDeleteFileParamsCommitter;
+    /**
+     * object containing information about the author.
+     */
+    author?: ReposDeleteFileParamsAuthor;
+};
+declare type ReposDeleteFileRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/contents/:path";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposDeleteFileResponseData {
+    content: {
+        [k: string]: unknown;
+    };
+    commit: {
+        sha: string;
+        node_id: string;
+        url: string;
+        html_url: string;
+        author: {
+            date: string;
+            name: string;
+            email: string;
+        };
+        committer: {
+            date: string;
+            name: string;
+            email: string;
+        };
+        message: string;
+        tree: {
+            url: string;
+            sha: string;
+        };
+        parents: {
+            url: string;
+            html_url: string;
+            sha: string;
+        }[];
+        verification: {
+            verified: boolean;
+            reason: string;
+            signature: string;
+            payload: string;
+        };
+    };
+}
+declare type ReposDeleteInvitationEndpoint = {
+    owner: string;
+    repo: string;
+    invitation_id: number;
+};
+declare type ReposDeleteInvitationRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/invitations/:invitation_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeletePagesSiteEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"switcheroo">;
+declare type ReposDeletePagesSiteRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/pages";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeletePullRequestReviewProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposDeletePullRequestReviewProtectionRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteReleaseEndpoint = {
+    owner: string;
+    repo: string;
+    release_id: number;
+};
+declare type ReposDeleteReleaseRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/releases/:release_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteReleaseAssetEndpoint = {
+    owner: string;
+    repo: string;
+    asset_id: number;
+};
+declare type ReposDeleteReleaseAssetRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/releases/assets/:asset_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDeleteWebhookEndpoint = {
+    owner: string;
+    repo: string;
+    hook_id: number;
+};
+declare type ReposDeleteWebhookRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/hooks/:hook_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDisableAutomatedSecurityFixesEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"london">;
+declare type ReposDisableAutomatedSecurityFixesRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/automated-security-fixes";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDisableVulnerabilityAlertsEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"dorian">;
+declare type ReposDisableVulnerabilityAlertsRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/vulnerability-alerts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposDownloadArchiveEndpoint = {
+    owner: string;
+    repo: string;
+    archive_format: string;
+    ref: string;
+};
+declare type ReposDownloadArchiveRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/:archive_format/:ref";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposEnableAutomatedSecurityFixesEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"london">;
+declare type ReposEnableAutomatedSecurityFixesRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/automated-security-fixes";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposEnableVulnerabilityAlertsEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"dorian">;
+declare type ReposEnableVulnerabilityAlertsRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/vulnerability-alerts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposGetEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        pull: boolean;
+        triage: boolean;
+        push: boolean;
+        maintain: boolean;
+        admin: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: string;
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    parent: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+    source: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+    code_of_conduct: {
+        name: string;
+        key: string;
+        url: string;
+        html_url: string;
+    };
+}
+declare type ReposGetAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetAccessRestrictionsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetAccessRestrictionsResponseData {
+    url: string;
+    users_url: string;
+    teams_url: string;
+    apps_url: string;
+    users: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    teams: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+        parent: {
+            [k: string]: unknown;
+        };
+    }[];
+    apps: {
+        id: number;
+        slug: string;
+        node_id: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            url: string;
+            repos_url: string;
+            events_url: string;
+            hooks_url: string;
+            issues_url: string;
+            members_url: string;
+            public_members_url: string;
+            avatar_url: string;
+            description: string;
+        };
+        name: string;
+        description: string;
+        external_url: string;
+        html_url: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            metadata: string;
+            contents: string;
+            issues: string;
+            single_file: string;
+        };
+        events: string[];
+    }[];
+}
+declare type ReposGetAdminBranchProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetAdminBranchProtectionRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetAdminBranchProtectionResponseData {
+    url: string;
+    enabled: boolean;
+}
+declare type ReposGetAllStatusCheckContextsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetAllStatusCheckContextsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetAllStatusCheckContextsResponseData = string[];
+declare type ReposGetAllTopicsEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"mercy">;
+declare type ReposGetAllTopicsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/topics";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetAllTopicsResponseData {
+    names: string[];
+}
+declare type ReposGetAppsWithAccessToProtectedBranchEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetAppsWithAccessToProtectedBranchRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetAppsWithAccessToProtectedBranchResponseData = {
+    id: number;
+    slug: string;
+    node_id: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    name: string;
+    description: string;
+    external_url: string;
+    html_url: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        metadata: string;
+        contents: string;
+        issues: string;
+        single_file: string;
+    };
+    events: string[];
+}[];
+declare type ReposGetBranchEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetBranchRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetBranchResponseData {
+    name: string;
+    commit: {
+        sha: string;
+        node_id: string;
+        commit: {
+            author: {
+                name: string;
+                date: string;
+                email: string;
+            };
+            url: string;
+            message: string;
+            tree: {
+                sha: string;
+                url: string;
+            };
+            committer: {
+                name: string;
+                date: string;
+                email: string;
+            };
+            verification: {
+                verified: boolean;
+                reason: string;
+                signature: string;
+                payload: string;
+            };
+        };
+        author: {
+            gravatar_id: string;
+            avatar_url: string;
+            url: string;
+            id: number;
+            login: string;
+        };
+        parents: {
+            sha: string;
+            url: string;
+        }[];
+        url: string;
+        committer: {
+            gravatar_id: string;
+            avatar_url: string;
+            url: string;
+            id: number;
+            login: string;
+        };
+    };
+    _links: {
+        html: string;
+        self: string;
+    };
+    protected: boolean;
+    protection: {
+        enabled: boolean;
+        required_status_checks: {
+            enforcement_level: string;
+            contexts: string[];
+        };
+    };
+    protection_url: string;
+}
+declare type ReposGetBranchProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetBranchProtectionRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetBranchProtectionResponseData {
+    url: string;
+    required_status_checks: {
+        url: string;
+        strict: boolean;
+        contexts: string[];
+        contexts_url: string;
+    };
+    enforce_admins: {
+        url: string;
+        enabled: boolean;
+    };
+    required_pull_request_reviews: {
+        url: string;
+        dismissal_restrictions: {
+            url: string;
+            users_url: string;
+            teams_url: string;
+            users: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            }[];
+            teams: {
+                id: number;
+                node_id: string;
+                url: string;
+                html_url: string;
+                name: string;
+                slug: string;
+                description: string;
+                privacy: string;
+                permission: string;
+                members_url: string;
+                repositories_url: string;
+                parent: {
+                    [k: string]: unknown;
+                };
+            }[];
+        };
+        dismiss_stale_reviews: boolean;
+        require_code_owner_reviews: boolean;
+        required_approving_review_count: number;
+    };
+    restrictions: {
+        url: string;
+        users_url: string;
+        teams_url: string;
+        apps_url: string;
+        users: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        }[];
+        teams: {
+            id: number;
+            node_id: string;
+            url: string;
+            html_url: string;
+            name: string;
+            slug: string;
+            description: string;
+            privacy: string;
+            permission: string;
+            members_url: string;
+            repositories_url: string;
+            parent: {
+                [k: string]: unknown;
+            };
+        }[];
+        apps: {
+            id: number;
+            slug: string;
+            node_id: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                url: string;
+                repos_url: string;
+                events_url: string;
+                hooks_url: string;
+                issues_url: string;
+                members_url: string;
+                public_members_url: string;
+                avatar_url: string;
+                description: string;
+            };
+            name: string;
+            description: string;
+            external_url: string;
+            html_url: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                metadata: string;
+                contents: string;
+                issues: string;
+                single_file: string;
+            };
+            events: string[];
+        }[];
+    };
+    required_linear_history: {
+        enabled: boolean;
+    };
+    allow_force_pushes: {
+        enabled: boolean;
+    };
+    allow_deletions: {
+        enabled: boolean;
+    };
+}
+declare type ReposGetClonesEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Must be one of: `day`, `week`.
+     */
+    per?: "day" | "week";
+};
+declare type ReposGetClonesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/traffic/clones";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetClonesResponseData {
+    count: number;
+    uniques: number;
+    clones: {
+        timestamp: string;
+        count: number;
+        uniques: number;
+    }[];
+}
+declare type ReposGetCodeFrequencyStatsEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetCodeFrequencyStatsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/stats/code_frequency";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetCodeFrequencyStatsResponseData = number[][];
+declare type ReposGetCollaboratorPermissionLevelEndpoint = {
+    owner: string;
+    repo: string;
+    username: string;
+};
+declare type ReposGetCollaboratorPermissionLevelRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/collaborators/:username/permission";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetCollaboratorPermissionLevelResponseData {
+    permission: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type ReposGetCombinedStatusForRefEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+};
+declare type ReposGetCombinedStatusForRefRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits/:ref/status";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetCombinedStatusForRefResponseData {
+    state: string;
+    statuses: {
+        url: string;
+        avatar_url: string;
+        id: number;
+        node_id: string;
+        state: string;
+        description: string;
+        target_url: string;
+        context: string;
+        created_at: string;
+        updated_at: string;
+    }[];
+    sha: string;
+    total_count: number;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    commit_url: string;
+    url: string;
+}
+declare type ReposGetCommitEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+};
+declare type ReposGetCommitRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits/:ref";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetCommitResponseData {
+    url: string;
+    sha: string;
+    node_id: string;
+    html_url: string;
+    comments_url: string;
+    commit: {
+        url: string;
+        author: {
+            name: string;
+            email: string;
+            date: string;
+        };
+        committer: {
+            name: string;
+            email: string;
+            date: string;
+        };
+        message: string;
+        tree: {
+            url: string;
+            sha: string;
+        };
+        comment_count: number;
+        verification: {
+            verified: boolean;
+            reason: string;
+            signature: string;
+            payload: string;
+        };
+    };
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    committer: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    parents: {
+        url: string;
+        sha: string;
+    }[];
+    stats: {
+        additions: number;
+        deletions: number;
+        total: number;
+    };
+    files: {
+        filename: string;
+        additions: number;
+        deletions: number;
+        changes: number;
+        status: string;
+        raw_url: string;
+        blob_url: string;
+        patch: string;
+    }[];
+}
+declare type ReposGetCommitActivityStatsEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetCommitActivityStatsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/stats/commit_activity";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetCommitActivityStatsResponseData = {
+    days: number[];
+    total: number;
+    week: number;
+}[];
+declare type ReposGetCommitCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+};
+declare type ReposGetCommitCommentRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetCommitCommentResponseData {
+    html_url: string;
+    url: string;
+    id: number;
+    node_id: string;
+    body: string;
+    path: string;
+    position: number;
+    line: number;
+    commit_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type ReposGetCommitSignatureProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+} & RequiredPreview<"zzzax">;
+declare type ReposGetCommitSignatureProtectionRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_signatures";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetCommitSignatureProtectionResponseData {
+    url: string;
+    enabled: boolean;
+}
+declare type ReposGetCommunityProfileMetricsEndpoint = {
+    owner: string;
+    repo: string;
+} & RequiredPreview<"black-panther">;
+declare type ReposGetCommunityProfileMetricsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/community/profile";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetCommunityProfileMetricsResponseData {
+    health_percentage: number;
+    description: string;
+    documentation: boolean;
+    files: {
+        code_of_conduct: {
+            name: string;
+            key: string;
+            url: string;
+            html_url: string;
+        };
+        contributing: {
+            url: string;
+            html_url: string;
+        };
+        issue_template: {
+            url: string;
+            html_url: string;
+        };
+        pull_request_template: {
+            url: string;
+            html_url: string;
+        };
+        license: {
+            name: string;
+            key: string;
+            spdx_id: string;
+            url: string;
+            html_url: string;
+        };
+        readme: {
+            url: string;
+            html_url: string;
+        };
+    };
+    updated_at: string;
+}
+declare type ReposGetContentEndpoint = {
+    owner: string;
+    repo: string;
+    path: string;
+    /**
+     * The name of the commit/branch/tag. Default: the repository’s default branch (usually `master`)
+     */
+    ref?: string;
+};
+declare type ReposGetContentRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/contents/:path";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetContentResponseData {
+    type: string;
+    encoding: string;
+    size: number;
+    name: string;
+    path: string;
+    content: string;
+    sha: string;
+    url: string;
+    git_url: string;
+    html_url: string;
+    download_url: string;
+    target: string;
+    submodule_git_url: string;
+    _links: {
+        git: string;
+        self: string;
+        html: string;
+    };
+}
+declare type ReposGetContributorsStatsEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetContributorsStatsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/stats/contributors";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetContributorsStatsResponseData = {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    total: number;
+    weeks: {
+        w: string;
+        a: number;
+        d: number;
+        c: number;
+    }[];
+}[];
+declare type ReposGetDeployKeyEndpoint = {
+    owner: string;
+    repo: string;
+    key_id: number;
+};
+declare type ReposGetDeployKeyRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/keys/:key_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetDeployKeyResponseData {
+    id: number;
+    key: string;
+    url: string;
+    title: string;
+    verified: boolean;
+    created_at: string;
+    read_only: boolean;
+}
+declare type ReposGetDeploymentEndpoint = {
+    owner: string;
+    repo: string;
+    deployment_id: number;
+};
+declare type ReposGetDeploymentRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/deployments/:deployment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetDeploymentResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    sha: string;
+    ref: string;
+    task: string;
+    payload: {
+        deploy: string;
+    };
+    original_environment: string;
+    environment: string;
+    description: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    statuses_url: string;
+    repository_url: string;
+    transient_environment: boolean;
+    production_environment: boolean;
+}
+declare type ReposGetDeploymentStatusEndpoint = {
+    owner: string;
+    repo: string;
+    deployment_id: number;
+    status_id: number;
+};
+declare type ReposGetDeploymentStatusRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetDeploymentStatusResponseData {
+    url: string;
+    id: number;
+    node_id: string;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    description: string;
+    environment: string;
+    target_url: string;
+    created_at: string;
+    updated_at: string;
+    deployment_url: string;
+    repository_url: string;
+    environment_url: string;
+    log_url: string;
+}
+declare type ReposGetLatestPagesBuildEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetLatestPagesBuildRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pages/builds/latest";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetLatestPagesBuildResponseData {
+    url: string;
+    status: string;
+    error: {
+        message: string;
+    };
+    pusher: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    commit: string;
+    duration: number;
+    created_at: string;
+    updated_at: string;
+}
+declare type ReposGetLatestReleaseEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetLatestReleaseRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/releases/latest";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetLatestReleaseResponseData {
+    url: string;
+    html_url: string;
+    assets_url: string;
+    upload_url: string;
+    tarball_url: string;
+    zipball_url: string;
+    id: number;
+    node_id: string;
+    tag_name: string;
+    target_commitish: string;
+    name: string;
+    body: string;
+    draft: boolean;
+    prerelease: boolean;
+    created_at: string;
+    published_at: string;
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assets: {
+        url: string;
+        browser_download_url: string;
+        id: number;
+        node_id: string;
+        name: string;
+        label: string;
+        state: string;
+        content_type: string;
+        size: number;
+        download_count: number;
+        created_at: string;
+        updated_at: string;
+        uploader: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+    }[];
+}
+declare type ReposGetPagesEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetPagesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pages";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetPagesResponseData {
+    url: string;
+    status: string;
+    cname: string;
+    custom_404: boolean;
+    html_url: string;
+    source: {
+        branch: string;
+        directory: string;
+    };
+}
+declare type ReposGetPagesBuildEndpoint = {
+    owner: string;
+    repo: string;
+    build_id: number;
+};
+declare type ReposGetPagesBuildRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pages/builds/:build_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetPagesBuildResponseData {
+    url: string;
+    status: string;
+    error: {
+        message: string;
+    };
+    pusher: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    commit: string;
+    duration: number;
+    created_at: string;
+    updated_at: string;
+}
+declare type ReposGetParticipationStatsEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetParticipationStatsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/stats/participation";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetParticipationStatsResponseData {
+    all: number[];
+    owner: number[];
+}
+declare type ReposGetPullRequestReviewProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetPullRequestReviewProtectionRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetPullRequestReviewProtectionResponseData {
+    url: string;
+    dismissal_restrictions: {
+        url: string;
+        users_url: string;
+        teams_url: string;
+        users: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        }[];
+        teams: {
+            id: number;
+            node_id: string;
+            url: string;
+            html_url: string;
+            name: string;
+            slug: string;
+            description: string;
+            privacy: string;
+            permission: string;
+            members_url: string;
+            repositories_url: string;
+            parent: {
+                [k: string]: unknown;
+            };
+        }[];
+    };
+    dismiss_stale_reviews: boolean;
+    require_code_owner_reviews: boolean;
+    required_approving_review_count: number;
+}
+declare type ReposGetPunchCardStatsEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetPunchCardStatsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/stats/punch_card";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetPunchCardStatsResponseData = number[][];
+declare type ReposGetReadmeEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The name of the commit/branch/tag. Default: the repository’s default branch (usually `master`)
+     */
+    ref?: string;
+};
+declare type ReposGetReadmeRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/readme";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetReadmeResponseData {
+    type: string;
+    encoding: string;
+    size: number;
+    name: string;
+    path: string;
+    content: string;
+    sha: string;
+    url: string;
+    git_url: string;
+    html_url: string;
+    download_url: string;
+    target: string;
+    submodule_git_url: string;
+    _links: {
+        git: string;
+        self: string;
+        html: string;
+    };
+}
+declare type ReposGetReleaseEndpoint = {
+    owner: string;
+    repo: string;
+    release_id: number;
+};
+declare type ReposGetReleaseRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/releases/:release_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetReleaseResponseData {
+    url: string;
+    html_url: string;
+    assets_url: string;
+    upload_url: string;
+    tarball_url: string;
+    zipball_url: string;
+    id: number;
+    node_id: string;
+    tag_name: string;
+    target_commitish: string;
+    name: string;
+    body: string;
+    draft: boolean;
+    prerelease: boolean;
+    created_at: string;
+    published_at: string;
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assets: {
+        url: string;
+        browser_download_url: string;
+        id: number;
+        node_id: string;
+        name: string;
+        label: string;
+        state: string;
+        content_type: string;
+        size: number;
+        download_count: number;
+        created_at: string;
+        updated_at: string;
+        uploader: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+    }[];
+}
+declare type ReposGetReleaseAssetEndpoint = {
+    owner: string;
+    repo: string;
+    asset_id: number;
+};
+declare type ReposGetReleaseAssetRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/releases/assets/:asset_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetReleaseAssetResponseData {
+    url: string;
+    browser_download_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    label: string;
+    state: string;
+    content_type: string;
+    size: number;
+    download_count: number;
+    created_at: string;
+    updated_at: string;
+    uploader: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type ReposGetReleaseByTagEndpoint = {
+    owner: string;
+    repo: string;
+    tag: string;
+};
+declare type ReposGetReleaseByTagRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/releases/tags/:tag";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetReleaseByTagResponseData {
+    url: string;
+    html_url: string;
+    assets_url: string;
+    upload_url: string;
+    tarball_url: string;
+    zipball_url: string;
+    id: number;
+    node_id: string;
+    tag_name: string;
+    target_commitish: string;
+    name: string;
+    body: string;
+    draft: boolean;
+    prerelease: boolean;
+    created_at: string;
+    published_at: string;
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assets: {
+        url: string;
+        browser_download_url: string;
+        id: number;
+        node_id: string;
+        name: string;
+        label: string;
+        state: string;
+        content_type: string;
+        size: number;
+        download_count: number;
+        created_at: string;
+        updated_at: string;
+        uploader: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+    }[];
+}
+declare type ReposGetStatusChecksProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetStatusChecksProtectionRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetStatusChecksProtectionResponseData {
+    url: string;
+    strict: boolean;
+    contexts: string[];
+    contexts_url: string;
+}
+declare type ReposGetTeamsWithAccessToProtectedBranchEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetTeamsWithAccessToProtectedBranchRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetTeamsWithAccessToProtectedBranchResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+}[];
+declare type ReposGetTopPathsEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetTopPathsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/traffic/popular/paths";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetTopPathsResponseData = {
+    path: string;
+    title: string;
+    count: number;
+    uniques: number;
+}[];
+declare type ReposGetTopReferrersEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposGetTopReferrersRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/traffic/popular/referrers";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetTopReferrersResponseData = {
+    referrer: string;
+    count: number;
+    uniques: number;
+}[];
+declare type ReposGetUsersWithAccessToProtectedBranchEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposGetUsersWithAccessToProtectedBranchRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposGetUsersWithAccessToProtectedBranchResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type ReposGetViewsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Must be one of: `day`, `week`.
+     */
+    per?: "day" | "week";
+};
+declare type ReposGetViewsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/traffic/views";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetViewsResponseData {
+    count: number;
+    uniques: number;
+    views: {
+        timestamp: string;
+        count: number;
+        uniques: number;
+    }[];
+}
+declare type ReposGetWebhookEndpoint = {
+    owner: string;
+    repo: string;
+    hook_id: number;
+};
+declare type ReposGetWebhookRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/hooks/:hook_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposGetWebhookResponseData {
+    type: string;
+    id: number;
+    name: string;
+    active: boolean;
+    events: string[];
+    config: {
+        content_type: string;
+        insecure_ssl: string;
+        url: string;
+    };
+    updated_at: string;
+    created_at: string;
+    url: string;
+    test_url: string;
+    ping_url: string;
+    last_response: {
+        code: string;
+        status: string;
+        message: string;
+    };
+}
+declare type ReposListBranchesEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Setting to `true` returns only protected branches. When set to `false`, only unprotected branches are returned. Omitting this parameter returns all branches.
+     */
+    protected?: boolean;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListBranchesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/branches";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListBranchesResponseData = {
+    name: string;
+    commit: {
+        sha: string;
+        url: string;
+    };
+    protected: boolean;
+    protection: {
+        enabled: boolean;
+        required_status_checks: {
+            enforcement_level: string;
+            contexts: string[];
+        };
+    };
+    protection_url: string;
+}[];
+declare type ReposListBranchesForHeadCommitEndpoint = {
+    owner: string;
+    repo: string;
+    commit_sha: string;
+} & RequiredPreview<"groot">;
+declare type ReposListBranchesForHeadCommitRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits/:commit_sha/branches-where-head";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListBranchesForHeadCommitResponseData = {
+    name: string;
+    commit: {
+        sha: string;
+        url: string;
+    };
+    protected: boolean;
+}[];
+declare type ReposListCollaboratorsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Filter collaborators returned by their affiliation. Can be one of:
+     * \* `outside`: All outside collaborators of an organization-owned repository.
+     * \* `direct`: All collaborators with permissions to an organization-owned repository, regardless of organization membership status.
+     * \* `all`: All collaborators the authenticated user can see.
+     */
+    affiliation?: "outside" | "direct" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListCollaboratorsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/collaborators";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListCollaboratorsResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+    permissions: {
+        pull: boolean;
+        push: boolean;
+        admin: boolean;
+    };
+}[];
+declare type ReposListCommentsForCommitEndpoint = {
+    owner: string;
+    repo: string;
+    commit_sha: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListCommentsForCommitRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits/:commit_sha/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListCommentsForCommitResponseData = {
+    html_url: string;
+    url: string;
+    id: number;
+    node_id: string;
+    body: string;
+    path: string;
+    position: number;
+    line: number;
+    commit_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}[];
+declare type ReposListCommitCommentsForRepoEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListCommitCommentsForRepoRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListCommitCommentsForRepoResponseData = {
+    html_url: string;
+    url: string;
+    id: number;
+    node_id: string;
+    body: string;
+    path: string;
+    position: number;
+    line: number;
+    commit_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}[];
+declare type ReposListCommitStatusesForRefEndpoint = {
+    owner: string;
+    repo: string;
+    ref: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListCommitStatusesForRefRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits/:ref/statuses";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListCommitStatusesForRefResponseData = {
+    url: string;
+    avatar_url: string;
+    id: number;
+    node_id: string;
+    state: string;
+    description: string;
+    target_url: string;
+    context: string;
+    created_at: string;
+    updated_at: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}[];
+declare type ReposListCommitsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * SHA or branch to start listing commits from. Default: the repository’s default branch (usually `master`).
+     */
+    sha?: string;
+    /**
+     * Only commits containing this file path will be returned.
+     */
+    path?: string;
+    /**
+     * GitHub login or email address by which to filter by commit author.
+     */
+    author?: string;
+    /**
+     * Only commits after this date will be returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    since?: string;
+    /**
+     * Only commits before this date will be returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
+     */
+    until?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListCommitsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListCommitsResponseData = {
+    url: string;
+    sha: string;
+    node_id: string;
+    html_url: string;
+    comments_url: string;
+    commit: {
+        url: string;
+        author: {
+            name: string;
+            email: string;
+            date: string;
+        };
+        committer: {
+            name: string;
+            email: string;
+            date: string;
+        };
+        message: string;
+        tree: {
+            url: string;
+            sha: string;
+        };
+        comment_count: number;
+        verification: {
+            verified: boolean;
+            reason: string;
+            signature: string;
+            payload: string;
+        };
+    };
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    committer: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    parents: {
+        url: string;
+        sha: string;
+    }[];
+}[];
+declare type ReposListContributorsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Set to `1` or `true` to include anonymous contributors in results.
+     */
+    anon?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListContributorsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/contributors";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListContributorsResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+    contributions: number;
+}[];
+declare type ReposListDeployKeysEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListDeployKeysRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/keys";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListDeployKeysResponseData = {
+    id: number;
+    key: string;
+    url: string;
+    title: string;
+    verified: boolean;
+    created_at: string;
+    read_only: boolean;
+}[];
+declare type ReposListDeploymentStatusesEndpoint = {
+    owner: string;
+    repo: string;
+    deployment_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListDeploymentStatusesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/deployments/:deployment_id/statuses";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListDeploymentStatusesResponseData = {
+    url: string;
+    id: number;
+    node_id: string;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    description: string;
+    environment: string;
+    target_url: string;
+    created_at: string;
+    updated_at: string;
+    deployment_url: string;
+    repository_url: string;
+    environment_url: string;
+    log_url: string;
+}[];
+declare type ReposListDeploymentsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The SHA recorded at creation time.
+     */
+    sha?: string;
+    /**
+     * The name of the ref. This can be a branch, tag, or SHA.
+     */
+    ref?: string;
+    /**
+     * The name of the task for the deployment (e.g., `deploy` or `deploy:migrations`).
+     */
+    task?: string;
+    /**
+     * The name of the environment that was deployed to (e.g., `staging` or `production`).
+     */
+    environment?: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListDeploymentsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/deployments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListDeploymentsResponseData = {
+    url: string;
+    id: number;
+    node_id: string;
+    sha: string;
+    ref: string;
+    task: string;
+    payload: {
+        deploy: string;
+    };
+    original_environment: string;
+    environment: string;
+    description: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    statuses_url: string;
+    repository_url: string;
+    transient_environment: boolean;
+    production_environment: boolean;
+}[];
+declare type ReposListForAuthenticatedUserEndpoint = {
+    /**
+     * Can be one of `all`, `public`, or `private`.
+     */
+    visibility?: "all" | "public" | "private";
+    /**
+     * Comma-separated list of values. Can include:
+     * \* `owner`: Repositories that are owned by the authenticated user.
+     * \* `collaborator`: Repositories that the user has been added to as a collaborator.
+     * \* `organization_member`: Repositories that the user has access to through being a member of an organization. This includes every repository on every team that the user is on.
+     */
+    affiliation?: string;
+    /**
+     * Can be one of `all`, `owner`, `public`, `private`, `member`. Default: `all`
+     *
+     * Will cause a `422` error if used in the same request as **visibility** or **affiliation**. Will cause a `422` error if used in the same request as **visibility** or **affiliation**.
+     */
+    type?: "all" | "owner" | "public" | "private" | "member";
+    /**
+     * Can be one of `created`, `updated`, `pushed`, `full_name`.
+     */
+    sort?: "created" | "updated" | "pushed" | "full_name";
+    /**
+     * Can be one of `asc` or `desc`. Default: `asc` when using `full_name`, otherwise `desc`
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/repos";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposListForOrgEndpoint = {
+    org: string;
+    /**
+     * Specifies the types of repositories you want returned. Can be one of `all`, `public`, `private`, `forks`, `sources`, `member`, `internal`. Default: `all`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud or GitHub Enterprise Server 2.20+, `type` can also be `internal`.
+     */
+    type?: "all" | "public" | "private" | "forks" | "sources" | "member" | "internal";
+    /**
+     * Can be one of `created`, `updated`, `pushed`, `full_name`.
+     */
+    sort?: "created" | "updated" | "pushed" | "full_name";
+    /**
+     * Can be one of `asc` or `desc`. Default: when using `full_name`: `asc`, otherwise `desc`
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/repos";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListForOrgResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    delete_branch_on_merge: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}[];
+declare type ReposListForUserEndpoint = {
+    username: string;
+    /**
+     * Can be one of `all`, `owner`, `member`.
+     */
+    type?: "all" | "owner" | "member";
+    /**
+     * Can be one of `created`, `updated`, `pushed`, `full_name`.
+     */
+    sort?: "created" | "updated" | "pushed" | "full_name";
+    /**
+     * Can be one of `asc` or `desc`. Default: `asc` when using `full_name`, otherwise `desc`
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/repos";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposListForksEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The sort order. Can be either `newest`, `oldest`, or `stargazers`.
+     */
+    sort?: "newest" | "oldest" | "stargazers";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListForksRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/forks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListForksResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    delete_branch_on_merge: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}[];
+declare type ReposListInvitationsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListInvitationsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/invitations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListInvitationsResponseData = {
+    id: number;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    invitee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    inviter: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    permissions: string;
+    created_at: string;
+    url: string;
+    html_url: string;
+}[];
+declare type ReposListInvitationsForAuthenticatedUserEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListInvitationsForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/repository_invitations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListInvitationsForAuthenticatedUserResponseData = {
+    id: number;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    invitee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    inviter: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    permissions: string;
+    created_at: string;
+    url: string;
+    html_url: string;
+}[];
+declare type ReposListLanguagesEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposListLanguagesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/languages";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposListLanguagesResponseData {
+    C: number;
+    Python: number;
+}
+declare type ReposListPagesBuildsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListPagesBuildsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/pages/builds";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListPagesBuildsResponseData = {
+    url: string;
+    status: string;
+    error: {
+        message: string;
+    };
+    pusher: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    commit: string;
+    duration: number;
+    created_at: string;
+    updated_at: string;
+}[];
+declare type ReposListPublicEndpoint = {
+    /**
+     * The integer ID of the last repository that you've seen.
+     */
+    since?: number;
+};
+declare type ReposListPublicRequestOptions = {
+    method: "GET";
+    url: "/repositories";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListPublicResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+}[];
+declare type ReposListPullRequestsAssociatedWithCommitEndpoint = {
+    owner: string;
+    repo: string;
+    commit_sha: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"groot">;
+declare type ReposListPullRequestsAssociatedWithCommitRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/commits/:commit_sha/pulls";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListPullRequestsAssociatedWithCommitResponseData = {
+    url: string;
+    id: number;
+    node_id: string;
+    html_url: string;
+    diff_url: string;
+    patch_url: string;
+    issue_url: string;
+    commits_url: string;
+    review_comments_url: string;
+    review_comment_url: string;
+    comments_url: string;
+    statuses_url: string;
+    number: number;
+    state: string;
+    locked: boolean;
+    title: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    labels: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        description: string;
+        color: string;
+        default: boolean;
+    }[];
+    milestone: {
+        url: string;
+        html_url: string;
+        labels_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        state: string;
+        title: string;
+        description: string;
+        creator: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        open_issues: number;
+        closed_issues: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        due_on: string;
+    };
+    active_lock_reason: string;
+    created_at: string;
+    updated_at: string;
+    closed_at: string;
+    merged_at: string;
+    merge_commit_sha: string;
+    assignee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assignees: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_reviewers: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    }[];
+    requested_teams: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+        parent: {
+            [k: string]: unknown;
+        };
+    }[];
+    head: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    base: {
+        label: string;
+        ref: string;
+        sha: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        repo: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            archive_url: string;
+            assignees_url: string;
+            blobs_url: string;
+            branches_url: string;
+            collaborators_url: string;
+            comments_url: string;
+            commits_url: string;
+            compare_url: string;
+            contents_url: string;
+            contributors_url: string;
+            deployments_url: string;
+            downloads_url: string;
+            events_url: string;
+            forks_url: string;
+            git_commits_url: string;
+            git_refs_url: string;
+            git_tags_url: string;
+            git_url: string;
+            issue_comment_url: string;
+            issue_events_url: string;
+            issues_url: string;
+            keys_url: string;
+            labels_url: string;
+            languages_url: string;
+            merges_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            pulls_url: string;
+            releases_url: string;
+            ssh_url: string;
+            stargazers_url: string;
+            statuses_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            tags_url: string;
+            teams_url: string;
+            trees_url: string;
+            clone_url: string;
+            mirror_url: string;
+            hooks_url: string;
+            svn_url: string;
+            homepage: string;
+            language: string;
+            forks_count: number;
+            stargazers_count: number;
+            watchers_count: number;
+            size: number;
+            default_branch: string;
+            open_issues_count: number;
+            is_template: boolean;
+            topics: string[];
+            has_issues: boolean;
+            has_projects: boolean;
+            has_wiki: boolean;
+            has_pages: boolean;
+            has_downloads: boolean;
+            archived: boolean;
+            disabled: boolean;
+            visibility: string;
+            pushed_at: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                admin: boolean;
+                push: boolean;
+                pull: boolean;
+            };
+            allow_rebase_merge: boolean;
+            template_repository: {
+                [k: string]: unknown;
+            };
+            temp_clone_token: string;
+            allow_squash_merge: boolean;
+            delete_branch_on_merge: boolean;
+            allow_merge_commit: boolean;
+            subscribers_count: number;
+            network_count: number;
+        };
+    };
+    _links: {
+        self: {
+            href: string;
+        };
+        html: {
+            href: string;
+        };
+        issue: {
+            href: string;
+        };
+        comments: {
+            href: string;
+        };
+        review_comments: {
+            href: string;
+        };
+        review_comment: {
+            href: string;
+        };
+        commits: {
+            href: string;
+        };
+        statuses: {
+            href: string;
+        };
+    };
+    author_association: string;
+    draft: boolean;
+}[];
+declare type ReposListReleaseAssetsEndpoint = {
+    owner: string;
+    repo: string;
+    release_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListReleaseAssetsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/releases/:release_id/assets";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListReleaseAssetsResponseData = {
+    url: string;
+    browser_download_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    label: string;
+    state: string;
+    content_type: string;
+    size: number;
+    download_count: number;
+    created_at: string;
+    updated_at: string;
+    uploader: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}[];
+declare type ReposListReleasesEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListReleasesRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/releases";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListReleasesResponseData = {
+    url: string;
+    html_url: string;
+    assets_url: string;
+    upload_url: string;
+    tarball_url: string;
+    zipball_url: string;
+    id: number;
+    node_id: string;
+    tag_name: string;
+    target_commitish: string;
+    name: string;
+    body: string;
+    draft: boolean;
+    prerelease: boolean;
+    created_at: string;
+    published_at: string;
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assets: {
+        url: string;
+        browser_download_url: string;
+        id: number;
+        node_id: string;
+        name: string;
+        label: string;
+        state: string;
+        content_type: string;
+        size: number;
+        download_count: number;
+        created_at: string;
+        updated_at: string;
+        uploader: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+    }[];
+}[];
+declare type ReposListTagsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListTagsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/tags";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListTagsResponseData = {
+    name: string;
+    commit: {
+        sha: string;
+        url: string;
+    };
+    zipball_url: string;
+    tarball_url: string;
+}[];
+declare type ReposListTeamsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListTeamsRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListTeamsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+}[];
+declare type ReposListWebhooksEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type ReposListWebhooksRequestOptions = {
+    method: "GET";
+    url: "/repos/:owner/:repo/hooks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposListWebhooksResponseData = {
+    type: string;
+    id: number;
+    name: string;
+    active: boolean;
+    events: string[];
+    config: {
+        content_type: string;
+        insecure_ssl: string;
+        url: string;
+    };
+    updated_at: string;
+    created_at: string;
+    url: string;
+    test_url: string;
+    ping_url: string;
+    last_response: {
+        code: string;
+        status: string;
+        message: string;
+    };
+}[];
+declare type ReposMergeEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The name of the base branch that the head will be merged into.
+     */
+    base: string;
+    /**
+     * The head to merge. This can be a branch name or a commit SHA1.
+     */
+    head: string;
+    /**
+     * Commit message to use for the merge commit. If omitted, a default message will be used.
+     */
+    commit_message?: string;
+};
+declare type ReposMergeRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/merges";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposMergeResponseData {
+    sha: string;
+    node_id: string;
+    commit: {
+        author: {
+            name: string;
+            date: string;
+            email: string;
+        };
+        committer: {
+            name: string;
+            date: string;
+            email: string;
+        };
+        message: string;
+        tree: {
+            sha: string;
+            url: string;
+        };
+        url: string;
+        comment_count: number;
+        verification: {
+            verified: boolean;
+            reason: string;
+            signature: string;
+            payload: string;
+        };
+    };
+    url: string;
+    html_url: string;
+    comments_url: string;
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    committer: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    parents: {
+        sha: string;
+        url: string;
+    }[];
+}
+export interface ReposMergeResponse404Data {
+    message: string;
+}
+export interface ReposMergeResponse409Data {
+    message: string;
+}
+declare type ReposPingWebhookEndpoint = {
+    owner: string;
+    repo: string;
+    hook_id: number;
+};
+declare type ReposPingWebhookRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/hooks/:hook_id/pings";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposRemoveAppAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * apps parameter
+     */
+    apps: string[];
+};
+declare type ReposRemoveAppAccessRestrictionsRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposRemoveAppAccessRestrictionsResponseData = {
+    id: number;
+    slug: string;
+    node_id: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    name: string;
+    description: string;
+    external_url: string;
+    html_url: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        metadata: string;
+        contents: string;
+        issues: string;
+        single_file: string;
+    };
+    events: string[];
+}[];
+declare type ReposRemoveCollaboratorEndpoint = {
+    owner: string;
+    repo: string;
+    username: string;
+};
+declare type ReposRemoveCollaboratorRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/collaborators/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposRemoveStatusCheckContextsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * contexts parameter
+     */
+    contexts: string[];
+};
+declare type ReposRemoveStatusCheckContextsRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposRemoveStatusCheckContextsResponseData = string[];
+declare type ReposRemoveStatusCheckProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposRemoveStatusCheckProtectionRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposRemoveTeamAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * teams parameter
+     */
+    teams: string[];
+};
+declare type ReposRemoveTeamAccessRestrictionsRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposRemoveTeamAccessRestrictionsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+}[];
+declare type ReposRemoveUserAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * users parameter
+     */
+    users: string[];
+};
+declare type ReposRemoveUserAccessRestrictionsRequestOptions = {
+    method: "DELETE";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposRemoveUserAccessRestrictionsResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type ReposReplaceAllTopicsEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * An array of topics to add to the repository. Pass one or more topics to _replace_ the set of existing topics. Send an empty array (`[]`) to clear all topics from the repository. **Note:** Topic `names` cannot contain uppercase letters.
+     */
+    names: string[];
+} & RequiredPreview<"mercy">;
+declare type ReposReplaceAllTopicsRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/topics";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposReplaceAllTopicsResponseData {
+    names: string[];
+}
+declare type ReposRequestPagesBuildEndpoint = {
+    owner: string;
+    repo: string;
+};
+declare type ReposRequestPagesBuildRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/pages/builds";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposRequestPagesBuildResponseData {
+    url: string;
+    status: string;
+}
+declare type ReposSetAdminBranchProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+};
+declare type ReposSetAdminBranchProtectionRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/branches/:branch/protection/enforce_admins";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposSetAdminBranchProtectionResponseData {
+    url: string;
+    enabled: boolean;
+}
+declare type ReposSetAppAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * apps parameter
+     */
+    apps: string[];
+};
+declare type ReposSetAppAccessRestrictionsRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/apps";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposSetAppAccessRestrictionsResponseData = {
+    id: number;
+    slug: string;
+    node_id: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+    };
+    name: string;
+    description: string;
+    external_url: string;
+    html_url: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        metadata: string;
+        contents: string;
+        issues: string;
+        single_file: string;
+    };
+    events: string[];
+}[];
+declare type ReposSetStatusCheckContextsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * contexts parameter
+     */
+    contexts: string[];
+};
+declare type ReposSetStatusCheckContextsRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposSetStatusCheckContextsResponseData = string[];
+declare type ReposSetTeamAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * teams parameter
+     */
+    teams: string[];
+};
+declare type ReposSetTeamAccessRestrictionsRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposSetTeamAccessRestrictionsResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+}[];
+declare type ReposSetUserAccessRestrictionsEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * users parameter
+     */
+    users: string[];
+};
+declare type ReposSetUserAccessRestrictionsRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/branches/:branch/protection/restrictions/users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type ReposSetUserAccessRestrictionsResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type ReposTestPushWebhookEndpoint = {
+    owner: string;
+    repo: string;
+    hook_id: number;
+};
+declare type ReposTestPushWebhookRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/hooks/:hook_id/tests";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposTransferEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * **Required:** The username or organization name the repository will be transferred to.
+     */
+    new_owner?: string;
+    /**
+     * ID of the team or teams to add to the repository. Teams can only be added to organization-owned repositories.
+     */
+    team_ids?: number[];
+};
+declare type ReposTransferRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/transfer";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposTransferResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+}
+declare type ReposUpdateEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * The name of the repository.
+     */
+    name?: string;
+    /**
+     * A short description of the repository.
+     */
+    description?: string;
+    /**
+     * A URL with more information about the repository.
+     */
+    homepage?: string;
+    /**
+     * Either `true` to make the repository private or `false` to make it public. Default: `false`.
+     * **Note**: You will get a `422` error if the organization restricts [changing repository visibility](https://docs.github.com/articles/repository-permission-levels-for-an-organization#changing-the-visibility-of-repositories) to organization owners and a non-owner tries to change the value of private. **Note**: You will get a `422` error if the organization restricts [changing repository visibility](https://docs.github.com/articles/repository-permission-levels-for-an-organization#changing-the-visibility-of-repositories) to organization owners and a non-owner tries to change the value of private.
+     */
+    private?: boolean;
+    /**
+     * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud or GitHub Enterprise Server 2.20+, `visibility` can also be `internal`. The `visibility` parameter overrides the `private` parameter when you use both along with the `nebula-preview` preview header.
+     */
+    visibility?: "public" | "private" | "visibility" | "internal";
+    /**
+     * Either `true` to enable issues for this repository or `false` to disable them.
+     */
+    has_issues?: boolean;
+    /**
+     * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
+     */
+    has_projects?: boolean;
+    /**
+     * Either `true` to enable the wiki for this repository or `false` to disable it.
+     */
+    has_wiki?: boolean;
+    /**
+     * Either `true` to make this repo available as a template repository or `false` to prevent it.
+     */
+    is_template?: boolean;
+    /**
+     * Updates the default branch for this repository.
+     */
+    default_branch?: string;
+    /**
+     * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
+     */
+    allow_squash_merge?: boolean;
+    /**
+     * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
+     */
+    allow_merge_commit?: boolean;
+    /**
+     * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
+     */
+    allow_rebase_merge?: boolean;
+    /**
+     * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
+     */
+    delete_branch_on_merge?: boolean;
+    /**
+     * `true` to archive this repository. **Note**: You cannot unarchive repositories through the API.
+     */
+    archived?: boolean;
+};
+declare type ReposUpdateRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdateResponseData {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        pull: boolean;
+        triage: boolean;
+        push: boolean;
+        maintain: boolean;
+        admin: boolean;
+    };
+    allow_rebase_merge: boolean;
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    allow_squash_merge: boolean;
+    delete_branch_on_merge: boolean;
+    allow_merge_commit: boolean;
+    subscribers_count: number;
+    network_count: number;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    parent: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+    source: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+}
+declare type ReposUpdateBranchProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * Require status checks to pass before merging. Set to `null` to disable.
+     */
+    required_status_checks: ReposUpdateBranchProtectionParamsRequiredStatusChecks | null;
+    /**
+     * Enforce all configured restrictions for administrators. Set to `true` to enforce required status checks for repository administrators. Set to `null` to disable.
+     */
+    enforce_admins: boolean | null;
+    /**
+     * Require at least one approving review on a pull request, before merging. Set to `null` to disable.
+     */
+    required_pull_request_reviews: ReposUpdateBranchProtectionParamsRequiredPullRequestReviews | null;
+    /**
+     * Restrict who can push to the protected branch. User, app, and team `restrictions` are only available for organization-owned repositories. Set to `null` to disable.
+     */
+    restrictions: ReposUpdateBranchProtectionParamsRestrictions | null;
+    /**
+     * Enforces a linear commit Git history, which prevents anyone from pushing merge commits to a branch. Set to `true` to enforce a linear commit history. Set to `false` to disable a linear commit Git history. Your repository must allow squash merging or rebase merging before you can enable a linear commit history. Default: `false`. For more information, see "[Requiring a linear commit history](https://docs.github.com/github/administering-a-repository/requiring-a-linear-commit-history)".
+     */
+    required_linear_history?: boolean;
+    /**
+     * Permits force pushes to the protected branch by anyone with write access to the repository. Set to `true` to allow force pushes. Set to `false` or `null` to block force pushes. Default: `false`. For more information, see "[Enabling force pushes to a protected branch](https://docs.github.com/en/github/administering-a-repository/enabling-force-pushes-to-a-protected-branch)".
+     */
+    allow_force_pushes?: boolean | null;
+    /**
+     * Allows deletion of the protected branch by anyone with write access to the repository. Set to `false` to prevent deletion of the protected branch. Default: `false`. For more information, see "[Enabling force pushes to a protected branch](https://docs.github.com/en/github/administering-a-repository/enabling-force-pushes-to-a-protected-branch)".
+     */
+    allow_deletions?: boolean;
+};
+declare type ReposUpdateBranchProtectionRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/branches/:branch/protection";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdateBranchProtectionResponseData {
+    url: string;
+    required_status_checks: {
+        url: string;
+        strict: boolean;
+        contexts: string[];
+        contexts_url: string;
+    };
+    enforce_admins: {
+        url: string;
+        enabled: boolean;
+    };
+    required_pull_request_reviews: {
+        url: string;
+        dismissal_restrictions: {
+            url: string;
+            users_url: string;
+            teams_url: string;
+            users: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            }[];
+            teams: {
+                id: number;
+                node_id: string;
+                url: string;
+                html_url: string;
+                name: string;
+                slug: string;
+                description: string;
+                privacy: string;
+                permission: string;
+                members_url: string;
+                repositories_url: string;
+                parent: {
+                    [k: string]: unknown;
+                };
+            }[];
+        };
+        dismiss_stale_reviews: boolean;
+        require_code_owner_reviews: boolean;
+        required_approving_review_count: number;
+    };
+    restrictions: {
+        url: string;
+        users_url: string;
+        teams_url: string;
+        apps_url: string;
+        users: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        }[];
+        teams: {
+            id: number;
+            node_id: string;
+            url: string;
+            html_url: string;
+            name: string;
+            slug: string;
+            description: string;
+            privacy: string;
+            permission: string;
+            members_url: string;
+            repositories_url: string;
+            parent: {
+                [k: string]: unknown;
+            };
+        }[];
+        apps: {
+            id: number;
+            slug: string;
+            node_id: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                url: string;
+                repos_url: string;
+                events_url: string;
+                hooks_url: string;
+                issues_url: string;
+                members_url: string;
+                public_members_url: string;
+                avatar_url: string;
+                description: string;
+            };
+            name: string;
+            description: string;
+            external_url: string;
+            html_url: string;
+            created_at: string;
+            updated_at: string;
+            permissions: {
+                metadata: string;
+                contents: string;
+                issues: string;
+                single_file: string;
+            };
+            events: string[];
+        }[];
+    };
+    required_linear_history: {
+        enabled: boolean;
+    };
+    allow_force_pushes: {
+        enabled: boolean;
+    };
+    allow_deletions: {
+        enabled: boolean;
+    };
+}
+declare type ReposUpdateCommitCommentEndpoint = {
+    owner: string;
+    repo: string;
+    comment_id: number;
+    /**
+     * The contents of the comment
+     */
+    body: string;
+};
+declare type ReposUpdateCommitCommentRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/comments/:comment_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdateCommitCommentResponseData {
+    html_url: string;
+    url: string;
+    id: number;
+    node_id: string;
+    body: string;
+    path: string;
+    position: number;
+    line: number;
+    commit_id: string;
+    user: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+}
+declare type ReposUpdateInformationAboutPagesSiteEndpoint = {
+    owner: string;
+    repo: string;
+    /**
+     * Specify a custom domain for the repository. Sending a `null` value will remove the custom domain. For more about custom domains, see "[Using a custom domain with GitHub Pages](https://docs.github.com/articles/using-a-custom-domain-with-github-pages/)."
+     */
+    cname?: string;
+    /**
+     * Update the source for the repository. Must include the branch name, and may optionally specify the subdirectory `/docs`. Possible values are `"gh-pages"`, `"master"`, and `"master /docs"`.
+     */
+    source?: "gh-pages" | "master" | "master /docs";
+};
+declare type ReposUpdateInformationAboutPagesSiteRequestOptions = {
+    method: "PUT";
+    url: "/repos/:owner/:repo/pages";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ReposUpdateInvitationEndpoint = {
+    owner: string;
+    repo: string;
+    invitation_id: number;
+    /**
+     * The permissions that the associated user will have on the repository. Valid values are `read`, `write`, `maintain`, `triage`, and `admin`.
+     */
+    permissions?: "read" | "write" | "maintain" | "triage" | "admin";
+};
+declare type ReposUpdateInvitationRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/invitations/:invitation_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdateInvitationResponseData {
+    id: number;
+    repository: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+    };
+    invitee: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    inviter: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    permissions: string;
+    created_at: string;
+    url: string;
+    html_url: string;
+}
+declare type ReposUpdatePullRequestReviewProtectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * Specify which users and teams can dismiss pull request reviews. Pass an empty `dismissal_restrictions` object to disable. User and team `dismissal_restrictions` are only available for organization-owned repositories. Omit this parameter for personal repositories.
+     */
+    dismissal_restrictions?: ReposUpdatePullRequestReviewProtectionParamsDismissalRestrictions;
+    /**
+     * Set to `true` if you want to automatically dismiss approving reviews when someone pushes a new commit.
+     */
+    dismiss_stale_reviews?: boolean;
+    /**
+     * Blocks merging pull requests until [code owners](https://docs.github.com/articles/about-code-owners/) have reviewed.
+     */
+    require_code_owner_reviews?: boolean;
+    /**
+     * Specifies the number of reviewers required to approve pull requests. Use a number between 1 and 6.
+     */
+    required_approving_review_count?: number;
+};
+declare type ReposUpdatePullRequestReviewProtectionRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdatePullRequestReviewProtectionResponseData {
+    url: string;
+    dismissal_restrictions: {
+        url: string;
+        users_url: string;
+        teams_url: string;
+        users: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        }[];
+        teams: {
+            id: number;
+            node_id: string;
+            url: string;
+            html_url: string;
+            name: string;
+            slug: string;
+            description: string;
+            privacy: string;
+            permission: string;
+            members_url: string;
+            repositories_url: string;
+            parent: {
+                [k: string]: unknown;
+            };
+        }[];
+    };
+    dismiss_stale_reviews: boolean;
+    require_code_owner_reviews: boolean;
+    required_approving_review_count: number;
+}
+declare type ReposUpdateReleaseEndpoint = {
+    owner: string;
+    repo: string;
+    release_id: number;
+    /**
+     * The name of the tag.
+     */
+    tag_name?: string;
+    /**
+     * Specifies the commitish value that determines where the Git tag is created from. Can be any branch or commit SHA. Unused if the Git tag already exists. Default: the repository's default branch (usually `master`).
+     */
+    target_commitish?: string;
+    /**
+     * The name of the release.
+     */
+    name?: string;
+    /**
+     * Text describing the contents of the tag.
+     */
+    body?: string;
+    /**
+     * `true` makes the release a draft, and `false` publishes the release.
+     */
+    draft?: boolean;
+    /**
+     * `true` to identify the release as a prerelease, `false` to identify the release as a full release.
+     */
+    prerelease?: boolean;
+};
+declare type ReposUpdateReleaseRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/releases/:release_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdateReleaseResponseData {
+    url: string;
+    html_url: string;
+    assets_url: string;
+    upload_url: string;
+    tarball_url: string;
+    zipball_url: string;
+    id: number;
+    node_id: string;
+    tag_name: string;
+    target_commitish: string;
+    name: string;
+    body: string;
+    draft: boolean;
+    prerelease: boolean;
+    created_at: string;
+    published_at: string;
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    assets: {
+        url: string;
+        browser_download_url: string;
+        id: number;
+        node_id: string;
+        name: string;
+        label: string;
+        state: string;
+        content_type: string;
+        size: number;
+        download_count: number;
+        created_at: string;
+        updated_at: string;
+        uploader: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+    }[];
+}
+declare type ReposUpdateReleaseAssetEndpoint = {
+    owner: string;
+    repo: string;
+    asset_id: number;
+    /**
+     * The file name of the asset.
+     */
+    name?: string;
+    /**
+     * An alternate short description of the asset. Used in place of the filename.
+     */
+    label?: string;
+};
+declare type ReposUpdateReleaseAssetRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/releases/assets/:asset_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdateReleaseAssetResponseData {
+    url: string;
+    browser_download_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    label: string;
+    state: string;
+    content_type: string;
+    size: number;
+    download_count: number;
+    created_at: string;
+    updated_at: string;
+    uploader: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type ReposUpdateStatusCheckPotectionEndpoint = {
+    owner: string;
+    repo: string;
+    branch: string;
+    /**
+     * Require branches to be up to date before merging.
+     */
+    strict?: boolean;
+    /**
+     * The list of status checks to require in order to merge into this branch
+     */
+    contexts?: string[];
+};
+declare type ReposUpdateStatusCheckPotectionRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/branches/:branch/protection/required_status_checks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdateStatusCheckPotectionResponseData {
+    url: string;
+    strict: boolean;
+    contexts: string[];
+    contexts_url: string;
+}
+declare type ReposUpdateWebhookEndpoint = {
+    owner: string;
+    repo: string;
+    hook_id: number;
+    /**
+     * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/repos/hooks/#create-hook-config-params).
+     */
+    config?: ReposUpdateWebhookParamsConfig;
+    /**
+     * Determines what [events](https://developer.github.com/webhooks/event-payloads) the hook is triggered for. This replaces the entire array of events.
+     */
+    events?: string[];
+    /**
+     * Determines a list of events to be added to the list of events that the Hook triggers for.
+     */
+    add_events?: string[];
+    /**
+     * Determines a list of events to be removed from the list of events that the Hook triggers for.
+     */
+    remove_events?: string[];
+    /**
+     * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
+     */
+    active?: boolean;
+};
+declare type ReposUpdateWebhookRequestOptions = {
+    method: "PATCH";
+    url: "/repos/:owner/:repo/hooks/:hook_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUpdateWebhookResponseData {
+    type: string;
+    id: number;
+    name: string;
+    active: boolean;
+    events: string[];
+    config: {
+        content_type: string;
+        insecure_ssl: string;
+        url: string;
+    };
+    updated_at: string;
+    created_at: string;
+    url: string;
+    test_url: string;
+    ping_url: string;
+    last_response: {
+        code: string;
+        status: string;
+        message: string;
+    };
+}
+declare type ReposUploadReleaseAssetEndpoint = {
+    /**
+     * owner parameter
+     */
+    owner: string;
+    /**
+     * repo parameter
+     */
+    repo: string;
+    /**
+     * release_id parameter
+     */
+    release_id: number;
+    /**
+     * name parameter
+     */
+    name?: string;
+    /**
+     * label parameter
+     */
+    label?: string;
+    /**
+     * The raw file data
+     */
+    data: string;
+    /**
+     * The URL origin (protocol + host name + port) is included in `upload_url` returned in the response of the "Create a release" endpoint
+     */
+    origin?: string;
+    /**
+     * For https://api.github.com, set `baseUrl` to `https://uploads.github.com`. For GitHub Enterprise Server, set it to `<your hostname>/api/uploads`
+     */
+    baseUrl: string;
+} & {
+    headers: {
+        "content-type": string;
+    };
+};
+declare type ReposUploadReleaseAssetRequestOptions = {
+    method: "POST";
+    url: "/repos/:owner/:repo/releases/:release_id/assets{?name,label}";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ReposUploadReleaseAssetResponseData {
+    url: string;
+    browser_download_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    label: string;
+    state: string;
+    content_type: string;
+    size: number;
+    download_count: number;
+    created_at: string;
+    updated_at: string;
+    uploader: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+}
+declare type ScimDeleteUserFromOrgEndpoint = {
+    org: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_user_id: string;
+};
+declare type ScimDeleteUserFromOrgRequestOptions = {
+    method: "DELETE";
+    url: "/scim/v2/organizations/:org/Users/:scim_user_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type ScimGetProvisioningInformationForUserEndpoint = {
+    org: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_user_id: string;
+};
+declare type ScimGetProvisioningInformationForUserRequestOptions = {
+    method: "GET";
+    url: "/scim/v2/organizations/:org/Users/:scim_user_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ScimGetProvisioningInformationForUserResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    userName: string;
+    name: {
+        givenName: string;
+        familyName: string;
+    };
+    emails: {
+        value: string;
+        type: string;
+        primary: boolean;
+    }[];
+    active: boolean;
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type ScimListProvisionedIdentitiesEndpoint = {
+    org: string;
+    /**
+     * Used for pagination: the index of the first result to return.
+     */
+    startIndex?: number;
+    /**
+     * Used for pagination: the number of results to return.
+     */
+    count?: number;
+    /**
+     * Filters results using the equals query parameter operator (`eq`). You can filter results that are equal to `id`, `userName`, `emails`, and `external_id`. For example, to search for an identity with the `userName` Octocat, you would use this query:
+     *
+     * `?filter=userName%20eq%20\"Octocat\"`.
+     *
+     * To filter results for for the identity with the email `octocat@github.com`, you would use this query:
+     *
+     * `?filter=emails%20eq%20\"octocat@github.com\"`.
+     */
+    filter?: string;
+};
+declare type ScimListProvisionedIdentitiesRequestOptions = {
+    method: "GET";
+    url: "/scim/v2/organizations/:org/Users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ScimListProvisionedIdentitiesResponseData {
+    schemas: string[];
+    totalResults: number;
+    itemsPerPage: number;
+    startIndex: number;
+    Resources: {
+        schemas: string[];
+        id: string;
+        externalId: string;
+        userName: string;
+        name: {
+            givenName: string;
+            familyName: string;
+        };
+        emails: {
+            value: string;
+            primary: boolean;
+            type: string;
+        }[];
+        active: boolean;
+        meta: {
+            resourceType: string;
+            created: string;
+            lastModified: string;
+            location: string;
+        };
+    }[];
+}
+declare type ScimProvisionAndInviteUserEndpoint = {
+    org: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * The username for the user.
+     */
+    userName: string;
+    name: ScimProvisionAndInviteUserParamsName;
+    /**
+     * List of user emails.
+     */
+    emails: ScimProvisionAndInviteUserParamsEmails[];
+};
+declare type ScimProvisionAndInviteUserRequestOptions = {
+    method: "POST";
+    url: "/scim/v2/organizations/:org/Users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ScimProvisionAndInviteUserResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    userName: string;
+    name: {
+        givenName: string;
+        familyName: string;
+    };
+    emails: {
+        value: string;
+        type: string;
+        primary: boolean;
+    }[];
+    active: boolean;
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type ScimSetInformationForProvisionedUserEndpoint = {
+    org: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_user_id: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * The username for the user.
+     */
+    userName: string;
+    name: ScimSetInformationForProvisionedUserParamsName;
+    /**
+     * List of user emails.
+     */
+    emails: ScimSetInformationForProvisionedUserParamsEmails[];
+};
+declare type ScimSetInformationForProvisionedUserRequestOptions = {
+    method: "PUT";
+    url: "/scim/v2/organizations/:org/Users/:scim_user_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ScimSetInformationForProvisionedUserResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    userName: string;
+    name: {
+        givenName: string;
+        familyName: string;
+    };
+    emails: {
+        value: string;
+        type: string;
+        primary: boolean;
+    }[];
+    active: boolean;
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type ScimUpdateAttributeForUserEndpoint = {
+    org: string;
+    /**
+     * Identifier generated by the GitHub SCIM endpoint.
+     */
+    scim_user_id: string;
+    /**
+     * The SCIM schema URIs.
+     */
+    schemas: string[];
+    /**
+     * Array of [SCIM operations](https://tools.ietf.org/html/rfc7644#section-3.5.2).
+     */
+    Operations: ScimUpdateAttributeForUserParamsOperations[];
+};
+declare type ScimUpdateAttributeForUserRequestOptions = {
+    method: "PATCH";
+    url: "/scim/v2/organizations/:org/Users/:scim_user_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface ScimUpdateAttributeForUserResponseData {
+    schemas: string[];
+    id: string;
+    externalId: string;
+    userName: string;
+    name: {
+        givenName: string;
+        familyName: string;
+    };
+    emails: {
+        value: string;
+        type: string;
+        primary: boolean;
+    }[];
+    active: boolean;
+    meta: {
+        resourceType: string;
+        created: string;
+        lastModified: string;
+        location: string;
+    };
+}
+declare type SearchCodeEndpoint = {
+    /**
+     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching code](https://docs.github.com/articles/searching-code/)" for a detailed list of qualifiers.
+     */
+    q: string;
+    /**
+     * Sorts the results of your query. Can only be `indexed`, which indicates how recently a file has been indexed by the GitHub search infrastructure. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
+     */
+    sort?: "indexed";
+    /**
+     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
+     */
+    order?: "desc" | "asc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type SearchCodeRequestOptions = {
+    method: "GET";
+    url: "/search/code";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface SearchCodeResponseData {
+    total_count: number;
+    incomplete_results: boolean;
+    items: {
+        name: string;
+        path: string;
+        sha: string;
+        url: string;
+        git_url: string;
+        html_url: string;
+        repository: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            forks_url: string;
+            keys_url: string;
+            collaborators_url: string;
+            teams_url: string;
+            hooks_url: string;
+            issue_events_url: string;
+            events_url: string;
+            assignees_url: string;
+            branches_url: string;
+            tags_url: string;
+            blobs_url: string;
+            git_tags_url: string;
+            git_refs_url: string;
+            trees_url: string;
+            statuses_url: string;
+            languages_url: string;
+            stargazers_url: string;
+            contributors_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            commits_url: string;
+            git_commits_url: string;
+            comments_url: string;
+            issue_comment_url: string;
+            contents_url: string;
+            compare_url: string;
+            merges_url: string;
+            archive_url: string;
+            downloads_url: string;
+            issues_url: string;
+            pulls_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            labels_url: string;
+        };
+        score: number;
+    }[];
+}
+declare type SearchCommitsEndpoint = {
+    /**
+     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching commits](https://docs.github.com/articles/searching-commits/)" for a detailed list of qualifiers.
+     */
+    q: string;
+    /**
+     * Sorts the results of your query by `author-date` or `committer-date`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
+     */
+    sort?: "author-date" | "committer-date";
+    /**
+     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
+     */
+    order?: "desc" | "asc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"cloak">;
+declare type SearchCommitsRequestOptions = {
+    method: "GET";
+    url: "/search/commits";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface SearchCommitsResponseData {
+    total_count: number;
+    incomplete_results: boolean;
+    items: {
+        url: string;
+        sha: string;
+        html_url: string;
+        comments_url: string;
+        commit: {
+            url: string;
+            author: {
+                date: string;
+                name: string;
+                email: string;
+            };
+            committer: {
+                date: string;
+                name: string;
+                email: string;
+            };
+            message: string;
+            tree: {
+                url: string;
+                sha: string;
+            };
+            comment_count: number;
+        };
+        author: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        committer: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        parents: {
+            url: string;
+            html_url: string;
+            sha: string;
+        }[];
+        repository: {
+            id: number;
+            node_id: string;
+            name: string;
+            full_name: string;
+            owner: {
+                login: string;
+                id: number;
+                node_id: string;
+                avatar_url: string;
+                gravatar_id: string;
+                url: string;
+                html_url: string;
+                followers_url: string;
+                following_url: string;
+                gists_url: string;
+                starred_url: string;
+                subscriptions_url: string;
+                organizations_url: string;
+                repos_url: string;
+                events_url: string;
+                received_events_url: string;
+                type: string;
+                site_admin: boolean;
+            };
+            private: boolean;
+            html_url: string;
+            description: string;
+            fork: boolean;
+            url: string;
+            forks_url: string;
+            keys_url: string;
+            collaborators_url: string;
+            teams_url: string;
+            hooks_url: string;
+            issue_events_url: string;
+            events_url: string;
+            assignees_url: string;
+            branches_url: string;
+            tags_url: string;
+            blobs_url: string;
+            git_tags_url: string;
+            git_refs_url: string;
+            trees_url: string;
+            statuses_url: string;
+            languages_url: string;
+            stargazers_url: string;
+            contributors_url: string;
+            subscribers_url: string;
+            subscription_url: string;
+            commits_url: string;
+            git_commits_url: string;
+            comments_url: string;
+            issue_comment_url: string;
+            contents_url: string;
+            compare_url: string;
+            merges_url: string;
+            archive_url: string;
+            downloads_url: string;
+            issues_url: string;
+            pulls_url: string;
+            milestones_url: string;
+            notifications_url: string;
+            labels_url: string;
+            releases_url: string;
+            deployments_url: string;
+        };
+        score: number;
+    }[];
+}
+declare type SearchIssuesAndPullRequestsEndpoint = {
+    /**
+     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching issues and pull requests](https://docs.github.com/articles/searching-issues-and-pull-requests/)" for a detailed list of qualifiers.
+     */
+    q: string;
+    /**
+     * Sorts the results of your query by the number of `comments`, `reactions`, `reactions-+1`, `reactions--1`, `reactions-smile`, `reactions-thinking_face`, `reactions-heart`, `reactions-tada`, or `interactions`. You can also sort results by how recently the items were `created` or `updated`, Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
+     */
+    sort?: "comments" | "reactions" | "reactions-+1" | "reactions--1" | "reactions-smile" | "reactions-thinking_face" | "reactions-heart" | "reactions-tada" | "interactions" | "created" | "updated";
+    /**
+     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
+     */
+    order?: "desc" | "asc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type SearchIssuesAndPullRequestsRequestOptions = {
+    method: "GET";
+    url: "/search/issues";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface SearchIssuesAndPullRequestsResponseData {
+    total_count: number;
+    incomplete_results: boolean;
+    items: {
+        url: string;
+        repository_url: string;
+        labels_url: string;
+        comments_url: string;
+        events_url: string;
+        html_url: string;
+        id: number;
+        node_id: string;
+        number: number;
+        title: string;
+        user: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+        };
+        labels: {
+            id: number;
+            node_id: string;
+            url: string;
+            name: string;
+            color: string;
+        }[];
+        state: string;
+        assignee: string;
+        milestone: string;
+        comments: number;
+        created_at: string;
+        updated_at: string;
+        closed_at: string;
+        pull_request: {
+            html_url: string;
+            diff_url: string;
+            patch_url: string;
+        };
+        body: string;
+        score: number;
+    }[];
+}
+declare type SearchLabelsEndpoint = {
+    /**
+     * The id of the repository.
+     */
+    repository_id: number;
+    /**
+     * The search keywords. This endpoint does not accept qualifiers in the query. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query).
+     */
+    q: string;
+    /**
+     * Sorts the results of your query by when the label was `created` or `updated`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
+     */
+    sort?: "created" | "updated";
+    /**
+     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
+     */
+    order?: "desc" | "asc";
+};
+declare type SearchLabelsRequestOptions = {
+    method: "GET";
+    url: "/search/labels";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface SearchLabelsResponseData {
+    total_count: number;
+    incomplete_results: boolean;
+    items: {
+        id: number;
+        node_id: string;
+        url: string;
+        name: string;
+        color: string;
+        default: boolean;
+        description: string;
+        score: number;
+    }[];
+}
+declare type SearchReposEndpoint = {
+    /**
+     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching for repositories](https://docs.github.com/articles/searching-for-repositories/)" for a detailed list of qualifiers.
+     */
+    q: string;
+    /**
+     * Sorts the results of your query by number of `stars`, `forks`, or `help-wanted-issues` or how recently the items were `updated`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
+     */
+    sort?: "stars" | "forks" | "help-wanted-issues" | "updated";
+    /**
+     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
+     */
+    order?: "desc" | "asc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type SearchReposRequestOptions = {
+    method: "GET";
+    url: "/search/repositories";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface SearchReposResponseData {
+    total_count: number;
+    incomplete_results: boolean;
+    items: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            received_events_url: string;
+            type: string;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        created_at: string;
+        updated_at: string;
+        pushed_at: string;
+        homepage: string;
+        size: number;
+        stargazers_count: number;
+        watchers_count: number;
+        language: string;
+        forks_count: number;
+        open_issues_count: number;
+        master_branch: string;
+        default_branch: string;
+        score: number;
+    }[];
+}
+declare type SearchTopicsEndpoint = {
+    /**
+     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query).
+     */
+    q: string;
+} & RequiredPreview<"mercy">;
+declare type SearchTopicsRequestOptions = {
+    method: "GET";
+    url: "/search/topics";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface SearchTopicsResponseData {
+    total_count: number;
+    incomplete_results: boolean;
+    items: {
+        name: string;
+        display_name: string;
+        short_description: string;
+        description: string;
+        created_by: string;
+        released: string;
+        created_at: string;
+        updated_at: string;
+        featured: boolean;
+        curated: boolean;
+        score: number;
+    }[];
+}
+declare type SearchUsersEndpoint = {
+    /**
+     * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching users](https://docs.github.com/articles/searching-users/)" for a detailed list of qualifiers.
+     */
+    q: string;
+    /**
+     * Sorts the results of your query by number of `followers` or `repositories`, or when the person `joined` GitHub. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
+     */
+    sort?: "followers" | "repositories" | "joined";
+    /**
+     * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
+     */
+    order?: "desc" | "asc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type SearchUsersRequestOptions = {
+    method: "GET";
+    url: "/search/users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface SearchUsersResponseData {
+    total_count: number;
+    incomplete_results: boolean;
+    items: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        received_events_url: string;
+        type: string;
+        score: number;
+    }[];
+}
+declare type TeamsAddMemberLegacyEndpoint = {
+    team_id: number;
+    username: string;
+};
+declare type TeamsAddMemberLegacyRequestOptions = {
+    method: "PUT";
+    url: "/teams/:team_id/members/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsAddMemberLegacyResponseData {
+    message: string;
+    errors: {
+        code: string;
+        field: string;
+        resource: string;
+    }[];
+}
+declare type TeamsAddOrUpdateMembershipForUserInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    username: string;
+    /**
+     * The role that this user should have in the team. Can be one of:
+     * \* `member` - a normal member of the team.
+     * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
+     */
+    role?: "member" | "maintainer";
+};
+declare type TeamsAddOrUpdateMembershipForUserInOrgRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/teams/:team_slug/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsAddOrUpdateMembershipForUserInOrgResponseData {
+    url: string;
+    role: string;
+    state: string;
+}
+export interface TeamsAddOrUpdateMembershipForUserInOrgResponse422Data {
+    message: string;
+    errors: {
+        code: string;
+        field: string;
+        resource: string;
+    }[];
+}
+declare type TeamsAddOrUpdateMembershipForUserLegacyEndpoint = {
+    team_id: number;
+    username: string;
+    /**
+     * The role that this user should have in the team. Can be one of:
+     * \* `member` - a normal member of the team.
+     * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
+     */
+    role?: "member" | "maintainer";
+};
+declare type TeamsAddOrUpdateMembershipForUserLegacyRequestOptions = {
+    method: "PUT";
+    url: "/teams/:team_id/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsAddOrUpdateMembershipForUserLegacyResponseData {
+    url: string;
+    role: string;
+    state: string;
+}
+export interface TeamsAddOrUpdateMembershipForUserLegacyResponse422Data {
+    message: string;
+    errors: {
+        code: string;
+        field: string;
+        resource: string;
+    }[];
+}
+declare type TeamsAddOrUpdateProjectPermissionsInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    project_id: number;
+    /**
+     * The permission to grant to the team for this project. Can be one of:
+     * \* `read` - team members can read, but not write to or administer this project.
+     * \* `write` - team members can read and write, but not administer this project.
+     * \* `admin` - team members can read, write and administer this project.
+     * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+     */
+    permission?: "read" | "write" | "admin";
+} & RequiredPreview<"inertia">;
+declare type TeamsAddOrUpdateProjectPermissionsInOrgRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/teams/:team_slug/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsAddOrUpdateProjectPermissionsInOrgResponseData {
+    message: string;
+    documentation_url: string;
+}
+declare type TeamsAddOrUpdateProjectPermissionsLegacyEndpoint = {
+    team_id: number;
+    project_id: number;
+    /**
+     * The permission to grant to the team for this project. Can be one of:
+     * \* `read` - team members can read, but not write to or administer this project.
+     * \* `write` - team members can read and write, but not administer this project.
+     * \* `admin` - team members can read, write and administer this project.
+     * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
+     */
+    permission?: "read" | "write" | "admin";
+} & RequiredPreview<"inertia">;
+declare type TeamsAddOrUpdateProjectPermissionsLegacyRequestOptions = {
+    method: "PUT";
+    url: "/teams/:team_id/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsAddOrUpdateProjectPermissionsLegacyResponseData {
+    message: string;
+    documentation_url: string;
+}
+declare type TeamsAddOrUpdateRepoPermissionsInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    owner: string;
+    repo: string;
+    /**
+     * The permission to grant the team on this repository. Can be one of:
+     * \* `pull` - team members can pull, but not push to or administer this repository.
+     * \* `push` - team members can pull and push, but not administer this repository.
+     * \* `admin` - team members can pull, push and administer this repository.
+     * \* `maintain` - team members can manage the repository without access to sensitive or destructive actions. Recommended for project managers. Only applies to repositories owned by organizations.
+     * \* `triage` - team members can proactively manage issues and pull requests without write access. Recommended for contributors who triage a repository. Only applies to repositories owned by organizations.
+     *
+     * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
+     */
+    permission?: "pull" | "push" | "admin" | "maintain" | "triage";
+};
+declare type TeamsAddOrUpdateRepoPermissionsInOrgRequestOptions = {
+    method: "PUT";
+    url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsAddOrUpdateRepoPermissionsLegacyEndpoint = {
+    team_id: number;
+    owner: string;
+    repo: string;
+    /**
+     * The permission to grant the team on this repository. Can be one of:
+     * \* `pull` - team members can pull, but not push to or administer this repository.
+     * \* `push` - team members can pull and push, but not administer this repository.
+     * \* `admin` - team members can pull, push and administer this repository.
+     *
+     * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
+     */
+    permission?: "pull" | "push" | "admin";
+};
+declare type TeamsAddOrUpdateRepoPermissionsLegacyRequestOptions = {
+    method: "PUT";
+    url: "/teams/:team_id/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsCheckPermissionsForProjectInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    project_id: number;
+} & RequiredPreview<"inertia">;
+declare type TeamsCheckPermissionsForProjectInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCheckPermissionsForProjectInOrgResponseData {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    organization_permission: string;
+    private: boolean;
+    permissions: {
+        read: boolean;
+        write: boolean;
+        admin: boolean;
+    };
+}
+declare type TeamsCheckPermissionsForProjectLegacyEndpoint = {
+    team_id: number;
+    project_id: number;
+} & RequiredPreview<"inertia">;
+declare type TeamsCheckPermissionsForProjectLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCheckPermissionsForProjectLegacyResponseData {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    organization_permission: string;
+    private: boolean;
+    permissions: {
+        read: boolean;
+        write: boolean;
+        admin: boolean;
+    };
+}
+declare type TeamsCheckPermissionsForRepoInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    owner: string;
+    repo: string;
+};
+declare type TeamsCheckPermissionsForRepoInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCheckPermissionsForRepoInOrgResponseData {
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    parent: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+    source: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+    permissions: {
+        pull: boolean;
+        triage: boolean;
+        push: boolean;
+        maintain: boolean;
+        admin: boolean;
+    };
+}
+declare type TeamsCheckPermissionsForRepoLegacyEndpoint = {
+    team_id: number;
+    owner: string;
+    repo: string;
+};
+declare type TeamsCheckPermissionsForRepoLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCheckPermissionsForRepoLegacyResponseData {
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    parent: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+    source: {
+        id: number;
+        node_id: string;
+        name: string;
+        full_name: string;
+        owner: {
+            login: string;
+            id: number;
+            node_id: string;
+            avatar_url: string;
+            gravatar_id: string;
+            url: string;
+            html_url: string;
+            followers_url: string;
+            following_url: string;
+            gists_url: string;
+            starred_url: string;
+            subscriptions_url: string;
+            organizations_url: string;
+            repos_url: string;
+            events_url: string;
+            received_events_url: string;
+            type: string;
+            site_admin: boolean;
+        };
+        private: boolean;
+        html_url: string;
+        description: string;
+        fork: boolean;
+        url: string;
+        archive_url: string;
+        assignees_url: string;
+        blobs_url: string;
+        branches_url: string;
+        collaborators_url: string;
+        comments_url: string;
+        commits_url: string;
+        compare_url: string;
+        contents_url: string;
+        contributors_url: string;
+        deployments_url: string;
+        downloads_url: string;
+        events_url: string;
+        forks_url: string;
+        git_commits_url: string;
+        git_refs_url: string;
+        git_tags_url: string;
+        git_url: string;
+        issue_comment_url: string;
+        issue_events_url: string;
+        issues_url: string;
+        keys_url: string;
+        labels_url: string;
+        languages_url: string;
+        merges_url: string;
+        milestones_url: string;
+        notifications_url: string;
+        pulls_url: string;
+        releases_url: string;
+        ssh_url: string;
+        stargazers_url: string;
+        statuses_url: string;
+        subscribers_url: string;
+        subscription_url: string;
+        tags_url: string;
+        teams_url: string;
+        trees_url: string;
+        clone_url: string;
+        mirror_url: string;
+        hooks_url: string;
+        svn_url: string;
+        homepage: string;
+        language: string;
+        forks_count: number;
+        stargazers_count: number;
+        watchers_count: number;
+        size: number;
+        default_branch: string;
+        open_issues_count: number;
+        is_template: boolean;
+        topics: string[];
+        has_issues: boolean;
+        has_projects: boolean;
+        has_wiki: boolean;
+        has_pages: boolean;
+        has_downloads: boolean;
+        archived: boolean;
+        disabled: boolean;
+        visibility: string;
+        pushed_at: string;
+        created_at: string;
+        updated_at: string;
+        permissions: {
+            admin: boolean;
+            push: boolean;
+            pull: boolean;
+        };
+        allow_rebase_merge: boolean;
+        template_repository: {
+            [k: string]: unknown;
+        };
+        temp_clone_token: string;
+        allow_squash_merge: boolean;
+        delete_branch_on_merge: boolean;
+        allow_merge_commit: boolean;
+        subscribers_count: number;
+        network_count: number;
+    };
+    permissions: {
+        pull: boolean;
+        triage: boolean;
+        push: boolean;
+        maintain: boolean;
+        admin: boolean;
+    };
+}
+declare type TeamsCreateEndpoint = {
+    org: string;
+    /**
+     * The name of the team.
+     */
+    name: string;
+    /**
+     * The description of the team.
+     */
+    description?: string;
+    /**
+     * List GitHub IDs for organization members who will become team maintainers.
+     */
+    maintainers?: string[];
+    /**
+     * The full name (e.g., "organization-name/repository-name") of repositories to add the team to.
+     */
+    repo_names?: string[];
+    /**
+     * The level of privacy this team should have. The options are:
+     * **For a non-nested team:**
+     * \* `secret` - only visible to organization owners and members of this team.
+     * \* `closed` - visible to all members of this organization.
+     * Default: `secret`
+     * **For a parent or child team:**
+     * \* `closed` - visible to all members of this organization.
+     * Default for child team: `closed`
+     */
+    privacy?: "secret" | "closed";
+    /**
+     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
+     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
+     * \* `push` - team members can pull and push, but not administer newly-added repositories.
+     * \* `admin` - team members can pull, push and administer newly-added repositories.
+     */
+    permission?: "pull" | "push" | "admin";
+    /**
+     * The ID of a team to set as the parent team.
+     */
+    parent_team_id?: number;
+};
+declare type TeamsCreateRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCreateResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+    members_count: number;
+    repos_count: number;
+    created_at: string;
+    updated_at: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+        name: string;
+        company: string;
+        blog: string;
+        location: string;
+        email: string;
+        twitter_username: string;
+        is_verified: boolean;
+        has_organization_projects: boolean;
+        has_repository_projects: boolean;
+        public_repos: number;
+        public_gists: number;
+        followers: number;
+        following: number;
+        html_url: string;
+        created_at: string;
+        type: string;
+    };
+}
+declare type TeamsCreateDiscussionCommentInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    /**
+     * The discussion comment's body text.
+     */
+    body: string;
+};
+declare type TeamsCreateDiscussionCommentInOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCreateDiscussionCommentInOrgResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    created_at: string;
+    last_edited_at: string;
+    discussion_url: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsCreateDiscussionCommentLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    /**
+     * The discussion comment's body text.
+     */
+    body: string;
+};
+declare type TeamsCreateDiscussionCommentLegacyRequestOptions = {
+    method: "POST";
+    url: "/teams/:team_id/discussions/:discussion_number/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCreateDiscussionCommentLegacyResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    created_at: string;
+    last_edited_at: string;
+    discussion_url: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsCreateDiscussionInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * The discussion post's title.
+     */
+    title: string;
+    /**
+     * The discussion post's body text.
+     */
+    body: string;
+    /**
+     * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
+     */
+    private?: boolean;
+};
+declare type TeamsCreateDiscussionInOrgRequestOptions = {
+    method: "POST";
+    url: "/orgs/:org/teams/:team_slug/discussions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCreateDiscussionInOrgResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    comments_count: number;
+    comments_url: string;
+    created_at: string;
+    last_edited_at: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    pinned: boolean;
+    private: boolean;
+    team_url: string;
+    title: string;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsCreateDiscussionLegacyEndpoint = {
+    team_id: number;
+    /**
+     * The discussion post's title.
+     */
+    title: string;
+    /**
+     * The discussion post's body text.
+     */
+    body: string;
+    /**
+     * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
+     */
+    private?: boolean;
+};
+declare type TeamsCreateDiscussionLegacyRequestOptions = {
+    method: "POST";
+    url: "/teams/:team_id/discussions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCreateDiscussionLegacyResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    comments_count: number;
+    comments_url: string;
+    created_at: string;
+    last_edited_at: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    pinned: boolean;
+    private: boolean;
+    team_url: string;
+    title: string;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsCreateOrUpdateIdPGroupConnectionsInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * The IdP groups you want to connect to a GitHub team. When updating, the new `groups` object will replace the original one. You must include any existing groups that you don't want to remove.
+     */
+    groups: TeamsCreateOrUpdateIdPGroupConnectionsInOrgParamsGroups[];
+};
+declare type TeamsCreateOrUpdateIdPGroupConnectionsInOrgRequestOptions = {
+    method: "PATCH";
+    url: "/orgs/:org/teams/:team_slug/team-sync/group-mappings";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCreateOrUpdateIdPGroupConnectionsInOrgResponseData {
+    groups: {
+        group_id: string;
+        group_name: string;
+        group_description: string;
+    };
+}
+declare type TeamsCreateOrUpdateIdPGroupConnectionsLegacyEndpoint = {
+    team_id: number;
+    /**
+     * The IdP groups you want to connect to a GitHub team. When updating, the new `groups` object will replace the original one. You must include any existing groups that you don't want to remove.
+     */
+    groups: TeamsCreateOrUpdateIdPGroupConnectionsLegacyParamsGroups[];
+};
+declare type TeamsCreateOrUpdateIdPGroupConnectionsLegacyRequestOptions = {
+    method: "PATCH";
+    url: "/teams/:team_id/team-sync/group-mappings";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsCreateOrUpdateIdPGroupConnectionsLegacyResponseData {
+    groups: {
+        group_id: string;
+        group_name: string;
+        group_description: string;
+    }[];
+}
+declare type TeamsDeleteDiscussionCommentInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    comment_number: number;
+};
+declare type TeamsDeleteDiscussionCommentInOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsDeleteDiscussionCommentLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    comment_number: number;
+};
+declare type TeamsDeleteDiscussionCommentLegacyRequestOptions = {
+    method: "DELETE";
+    url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsDeleteDiscussionInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+};
+declare type TeamsDeleteDiscussionInOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsDeleteDiscussionLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+};
+declare type TeamsDeleteDiscussionLegacyRequestOptions = {
+    method: "DELETE";
+    url: "/teams/:team_id/discussions/:discussion_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsDeleteInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+};
+declare type TeamsDeleteInOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/teams/:team_slug";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsDeleteLegacyEndpoint = {
+    team_id: number;
+};
+declare type TeamsDeleteLegacyRequestOptions = {
+    method: "DELETE";
+    url: "/teams/:team_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsGetByNameEndpoint = {
+    org: string;
+    team_slug: string;
+};
+declare type TeamsGetByNameRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsGetByNameResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+    members_count: number;
+    repos_count: number;
+    created_at: string;
+    updated_at: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+        name: string;
+        company: string;
+        blog: string;
+        location: string;
+        email: string;
+        twitter_username: string;
+        is_verified: boolean;
+        has_organization_projects: boolean;
+        has_repository_projects: boolean;
+        public_repos: number;
+        public_gists: number;
+        followers: number;
+        following: number;
+        html_url: string;
+        created_at: string;
+        type: string;
+    };
+}
+declare type TeamsGetDiscussionCommentInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    comment_number: number;
+};
+declare type TeamsGetDiscussionCommentInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsGetDiscussionCommentInOrgResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    created_at: string;
+    last_edited_at: string;
+    discussion_url: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsGetDiscussionCommentLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    comment_number: number;
+};
+declare type TeamsGetDiscussionCommentLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsGetDiscussionCommentLegacyResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    created_at: string;
+    last_edited_at: string;
+    discussion_url: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsGetDiscussionInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+};
+declare type TeamsGetDiscussionInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsGetDiscussionInOrgResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    comments_count: number;
+    comments_url: string;
+    created_at: string;
+    last_edited_at: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    pinned: boolean;
+    private: boolean;
+    team_url: string;
+    title: string;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsGetDiscussionLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+};
+declare type TeamsGetDiscussionLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/discussions/:discussion_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsGetDiscussionLegacyResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    comments_count: number;
+    comments_url: string;
+    created_at: string;
+    last_edited_at: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    pinned: boolean;
+    private: boolean;
+    team_url: string;
+    title: string;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsGetLegacyEndpoint = {
+    team_id: number;
+};
+declare type TeamsGetLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsGetLegacyResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+    members_count: number;
+    repos_count: number;
+    created_at: string;
+    updated_at: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+        name: string;
+        company: string;
+        blog: string;
+        location: string;
+        email: string;
+        twitter_username: string;
+        is_verified: boolean;
+        has_organization_projects: boolean;
+        has_repository_projects: boolean;
+        public_repos: number;
+        public_gists: number;
+        followers: number;
+        following: number;
+        html_url: string;
+        created_at: string;
+        type: string;
+    };
+}
+declare type TeamsGetMemberLegacyEndpoint = {
+    team_id: number;
+    username: string;
+};
+declare type TeamsGetMemberLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/members/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsGetMembershipForUserInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    username: string;
+};
+declare type TeamsGetMembershipForUserInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsGetMembershipForUserInOrgResponseData {
+    url: string;
+    role: string;
+    state: string;
+}
+declare type TeamsGetMembershipForUserLegacyEndpoint = {
+    team_id: number;
+    username: string;
+};
+declare type TeamsGetMembershipForUserLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsGetMembershipForUserLegacyResponseData {
+    url: string;
+    role: string;
+    state: string;
+}
+declare type TeamsListEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+}[];
+declare type TeamsListChildInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListChildInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListChildInOrgResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+    };
+}[];
+declare type TeamsListChildLegacyEndpoint = {
+    team_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListChildLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListChildLegacyResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        id: number;
+        node_id: string;
+        url: string;
+        html_url: string;
+        name: string;
+        slug: string;
+        description: string;
+        privacy: string;
+        permission: string;
+        members_url: string;
+        repositories_url: string;
+    };
+}[];
+declare type TeamsListDiscussionCommentsInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    /**
+     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListDiscussionCommentsInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListDiscussionCommentsInOrgResponseData = {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    created_at: string;
+    last_edited_at: string;
+    discussion_url: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}[];
+declare type TeamsListDiscussionCommentsLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    /**
+     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListDiscussionCommentsLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/discussions/:discussion_number/comments";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListDiscussionCommentsLegacyResponseData = {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    created_at: string;
+    last_edited_at: string;
+    discussion_url: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}[];
+declare type TeamsListDiscussionsInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListDiscussionsInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/discussions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListDiscussionsInOrgResponseData = {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    comments_count: number;
+    comments_url: string;
+    created_at: string;
+    last_edited_at: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    pinned: boolean;
+    private: boolean;
+    team_url: string;
+    title: string;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}[];
+declare type TeamsListDiscussionsLegacyEndpoint = {
+    team_id: number;
+    /**
+     * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
+     */
+    direction?: "asc" | "desc";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListDiscussionsLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/discussions";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListDiscussionsLegacyResponseData = {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    comments_count: number;
+    comments_url: string;
+    created_at: string;
+    last_edited_at: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    pinned: boolean;
+    private: boolean;
+    team_url: string;
+    title: string;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}[];
+declare type TeamsListForAuthenticatedUserEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/teams";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListForAuthenticatedUserResponseData = {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+    members_count: number;
+    repos_count: number;
+    created_at: string;
+    updated_at: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+        name: string;
+        company: string;
+        blog: string;
+        location: string;
+        email: string;
+        twitter_username: string;
+        is_verified: boolean;
+        has_organization_projects: boolean;
+        has_repository_projects: boolean;
+        public_repos: number;
+        public_gists: number;
+        followers: number;
+        following: number;
+        html_url: string;
+        created_at: string;
+        type: string;
+    };
+}[];
+declare type TeamsListIdPGroupsForLegacyEndpoint = {
+    team_id: number;
+};
+declare type TeamsListIdPGroupsForLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/team-sync/group-mappings";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsListIdPGroupsForLegacyResponseData {
+    groups: {
+        group_id: string;
+        group_name: string;
+        group_description: string;
+    }[];
+}
+declare type TeamsListIdPGroupsForOrgEndpoint = {
+    org: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListIdPGroupsForOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/team-sync/groups";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsListIdPGroupsForOrgResponseData {
+    groups: {
+        group_id: string;
+        group_name: string;
+        group_description: string;
+    }[];
+}
+declare type TeamsListIdPGroupsInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+};
+declare type TeamsListIdPGroupsInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/team-sync/group-mappings";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsListIdPGroupsInOrgResponseData {
+    groups: {
+        group_id: string;
+        group_name: string;
+        group_description: string;
+    }[];
+}
+declare type TeamsListMembersInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * Filters members returned by their role in the team. Can be one of:
+     * \* `member` - normal members of the team.
+     * \* `maintainer` - team maintainers.
+     * \* `all` - all members of the team.
+     */
+    role?: "member" | "maintainer" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListMembersInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/members";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListMembersInOrgResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type TeamsListMembersLegacyEndpoint = {
+    team_id: number;
+    /**
+     * Filters members returned by their role in the team. Can be one of:
+     * \* `member` - normal members of the team.
+     * \* `maintainer` - team maintainers.
+     * \* `all` - all members of the team.
+     */
+    role?: "member" | "maintainer" | "all";
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListMembersLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/members";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListMembersLegacyResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type TeamsListPendingInvitationsInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListPendingInvitationsInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/invitations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListPendingInvitationsInOrgResponseData = {
+    id: number;
+    login: string;
+    email: string;
+    role: string;
+    created_at: string;
+    inviter: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    team_count: number;
+    invitation_team_url: string;
+}[];
+declare type TeamsListPendingInvitationsLegacyEndpoint = {
+    team_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListPendingInvitationsLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/invitations";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListPendingInvitationsLegacyResponseData = {
+    id: number;
+    login: string;
+    email: string;
+    role: string;
+    created_at: string;
+    inviter: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    team_count: number;
+    invitation_team_url: string;
+}[];
+declare type TeamsListProjectsInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"inertia">;
+declare type TeamsListProjectsInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/projects";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListProjectsInOrgResponseData = {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    organization_permission: string;
+    private: boolean;
+    permissions: {
+        read: boolean;
+        write: boolean;
+        admin: boolean;
+    };
+}[];
+declare type TeamsListProjectsLegacyEndpoint = {
+    team_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+} & RequiredPreview<"inertia">;
+declare type TeamsListProjectsLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/projects";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListProjectsLegacyResponseData = {
+    owner_url: string;
+    url: string;
+    html_url: string;
+    columns_url: string;
+    id: number;
+    node_id: string;
+    name: string;
+    body: string;
+    number: number;
+    state: string;
+    creator: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    created_at: string;
+    updated_at: string;
+    organization_permission: string;
+    private: boolean;
+    permissions: {
+        read: boolean;
+        write: boolean;
+        admin: boolean;
+    };
+}[];
+declare type TeamsListReposInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListReposInOrgRequestOptions = {
+    method: "GET";
+    url: "/orgs/:org/teams/:team_slug/repos";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListReposInOrgResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    delete_branch_on_merge: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}[];
+declare type TeamsListReposLegacyEndpoint = {
+    team_id: number;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type TeamsListReposLegacyRequestOptions = {
+    method: "GET";
+    url: "/teams/:team_id/repos";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type TeamsListReposLegacyResponseData = {
+    id: number;
+    node_id: string;
+    name: string;
+    full_name: string;
+    owner: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    private: boolean;
+    html_url: string;
+    description: string;
+    fork: boolean;
+    url: string;
+    archive_url: string;
+    assignees_url: string;
+    blobs_url: string;
+    branches_url: string;
+    collaborators_url: string;
+    comments_url: string;
+    commits_url: string;
+    compare_url: string;
+    contents_url: string;
+    contributors_url: string;
+    deployments_url: string;
+    downloads_url: string;
+    events_url: string;
+    forks_url: string;
+    git_commits_url: string;
+    git_refs_url: string;
+    git_tags_url: string;
+    git_url: string;
+    issue_comment_url: string;
+    issue_events_url: string;
+    issues_url: string;
+    keys_url: string;
+    labels_url: string;
+    languages_url: string;
+    merges_url: string;
+    milestones_url: string;
+    notifications_url: string;
+    pulls_url: string;
+    releases_url: string;
+    ssh_url: string;
+    stargazers_url: string;
+    statuses_url: string;
+    subscribers_url: string;
+    subscription_url: string;
+    tags_url: string;
+    teams_url: string;
+    trees_url: string;
+    clone_url: string;
+    mirror_url: string;
+    hooks_url: string;
+    svn_url: string;
+    homepage: string;
+    language: string;
+    forks_count: number;
+    stargazers_count: number;
+    watchers_count: number;
+    size: number;
+    default_branch: string;
+    open_issues_count: number;
+    is_template: boolean;
+    topics: string[];
+    has_issues: boolean;
+    has_projects: boolean;
+    has_wiki: boolean;
+    has_pages: boolean;
+    has_downloads: boolean;
+    archived: boolean;
+    disabled: boolean;
+    visibility: string;
+    pushed_at: string;
+    created_at: string;
+    updated_at: string;
+    permissions: {
+        admin: boolean;
+        push: boolean;
+        pull: boolean;
+    };
+    template_repository: {
+        [k: string]: unknown;
+    };
+    temp_clone_token: string;
+    delete_branch_on_merge: boolean;
+    subscribers_count: number;
+    network_count: number;
+    license: {
+        key: string;
+        name: string;
+        spdx_id: string;
+        url: string;
+        node_id: string;
+    };
+}[];
+declare type TeamsRemoveMemberLegacyEndpoint = {
+    team_id: number;
+    username: string;
+};
+declare type TeamsRemoveMemberLegacyRequestOptions = {
+    method: "DELETE";
+    url: "/teams/:team_id/members/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsRemoveMembershipForUserInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    username: string;
+};
+declare type TeamsRemoveMembershipForUserInOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/teams/:team_slug/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsRemoveMembershipForUserLegacyEndpoint = {
+    team_id: number;
+    username: string;
+};
+declare type TeamsRemoveMembershipForUserLegacyRequestOptions = {
+    method: "DELETE";
+    url: "/teams/:team_id/memberships/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsRemoveProjectInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    project_id: number;
+};
+declare type TeamsRemoveProjectInOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/teams/:team_slug/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsRemoveProjectLegacyEndpoint = {
+    team_id: number;
+    project_id: number;
+};
+declare type TeamsRemoveProjectLegacyRequestOptions = {
+    method: "DELETE";
+    url: "/teams/:team_id/projects/:project_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsRemoveRepoInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    owner: string;
+    repo: string;
+};
+declare type TeamsRemoveRepoInOrgRequestOptions = {
+    method: "DELETE";
+    url: "/orgs/:org/teams/:team_slug/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsRemoveRepoLegacyEndpoint = {
+    team_id: number;
+    owner: string;
+    repo: string;
+};
+declare type TeamsRemoveRepoLegacyRequestOptions = {
+    method: "DELETE";
+    url: "/teams/:team_id/repos/:owner/:repo";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type TeamsUpdateDiscussionCommentInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    comment_number: number;
+    /**
+     * The discussion comment's body text.
+     */
+    body: string;
+};
+declare type TeamsUpdateDiscussionCommentInOrgRequestOptions = {
+    method: "PATCH";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsUpdateDiscussionCommentInOrgResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    created_at: string;
+    last_edited_at: string;
+    discussion_url: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsUpdateDiscussionCommentLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    comment_number: number;
+    /**
+     * The discussion comment's body text.
+     */
+    body: string;
+};
+declare type TeamsUpdateDiscussionCommentLegacyRequestOptions = {
+    method: "PATCH";
+    url: "/teams/:team_id/discussions/:discussion_number/comments/:comment_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsUpdateDiscussionCommentLegacyResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    created_at: string;
+    last_edited_at: string;
+    discussion_url: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsUpdateDiscussionInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    discussion_number: number;
+    /**
+     * The discussion post's title.
+     */
+    title?: string;
+    /**
+     * The discussion post's body text.
+     */
+    body?: string;
+};
+declare type TeamsUpdateDiscussionInOrgRequestOptions = {
+    method: "PATCH";
+    url: "/orgs/:org/teams/:team_slug/discussions/:discussion_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsUpdateDiscussionInOrgResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    comments_count: number;
+    comments_url: string;
+    created_at: string;
+    last_edited_at: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    pinned: boolean;
+    private: boolean;
+    team_url: string;
+    title: string;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsUpdateDiscussionLegacyEndpoint = {
+    team_id: number;
+    discussion_number: number;
+    /**
+     * The discussion post's title.
+     */
+    title?: string;
+    /**
+     * The discussion post's body text.
+     */
+    body?: string;
+};
+declare type TeamsUpdateDiscussionLegacyRequestOptions = {
+    method: "PATCH";
+    url: "/teams/:team_id/discussions/:discussion_number";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsUpdateDiscussionLegacyResponseData {
+    author: {
+        login: string;
+        id: number;
+        node_id: string;
+        avatar_url: string;
+        gravatar_id: string;
+        url: string;
+        html_url: string;
+        followers_url: string;
+        following_url: string;
+        gists_url: string;
+        starred_url: string;
+        subscriptions_url: string;
+        organizations_url: string;
+        repos_url: string;
+        events_url: string;
+        received_events_url: string;
+        type: string;
+        site_admin: boolean;
+    };
+    body: string;
+    body_html: string;
+    body_version: string;
+    comments_count: number;
+    comments_url: string;
+    created_at: string;
+    last_edited_at: string;
+    html_url: string;
+    node_id: string;
+    number: number;
+    pinned: boolean;
+    private: boolean;
+    team_url: string;
+    title: string;
+    updated_at: string;
+    url: string;
+    reactions: {
+        url: string;
+        total_count: number;
+        "+1": number;
+        "-1": number;
+        laugh: number;
+        confused: number;
+        heart: number;
+        hooray: number;
+    };
+}
+declare type TeamsUpdateInOrgEndpoint = {
+    org: string;
+    team_slug: string;
+    /**
+     * The name of the team.
+     */
+    name: string;
+    /**
+     * The description of the team.
+     */
+    description?: string;
+    /**
+     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. When a team is nested, the `privacy` for parent teams cannot be `secret`. The options are:
+     * **For a non-nested team:**
+     * \* `secret` - only visible to organization owners and members of this team.
+     * \* `closed` - visible to all members of this organization.
+     * **For a parent or child team:**
+     * \* `closed` - visible to all members of this organization.
+     */
+    privacy?: "secret" | "closed";
+    /**
+     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
+     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
+     * \* `push` - team members can pull and push, but not administer newly-added repositories.
+     * \* `admin` - team members can pull, push and administer newly-added repositories.
+     */
+    permission?: "pull" | "push" | "admin";
+    /**
+     * The ID of a team to set as the parent team.
+     */
+    parent_team_id?: number;
+};
+declare type TeamsUpdateInOrgRequestOptions = {
+    method: "PATCH";
+    url: "/orgs/:org/teams/:team_slug";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsUpdateInOrgResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+    members_count: number;
+    repos_count: number;
+    created_at: string;
+    updated_at: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+        name: string;
+        company: string;
+        blog: string;
+        location: string;
+        email: string;
+        twitter_username: string;
+        is_verified: boolean;
+        has_organization_projects: boolean;
+        has_repository_projects: boolean;
+        public_repos: number;
+        public_gists: number;
+        followers: number;
+        following: number;
+        html_url: string;
+        created_at: string;
+        type: string;
+    };
+}
+declare type TeamsUpdateLegacyEndpoint = {
+    team_id: number;
+    /**
+     * The name of the team.
+     */
+    name: string;
+    /**
+     * The description of the team.
+     */
+    description?: string;
+    /**
+     * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
+     * **For a non-nested team:**
+     * \* `secret` - only visible to organization owners and members of this team.
+     * \* `closed` - visible to all members of this organization.
+     * **For a parent or child team:**
+     * \* `closed` - visible to all members of this organization.
+     */
+    privacy?: "secret" | "closed";
+    /**
+     * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
+     * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
+     * \* `push` - team members can pull and push, but not administer newly-added repositories.
+     * \* `admin` - team members can pull, push and administer newly-added repositories.
+     */
+    permission?: "pull" | "push" | "admin";
+    /**
+     * The ID of a team to set as the parent team.
+     */
+    parent_team_id?: number;
+};
+declare type TeamsUpdateLegacyRequestOptions = {
+    method: "PATCH";
+    url: "/teams/:team_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface TeamsUpdateLegacyResponseData {
+    id: number;
+    node_id: string;
+    url: string;
+    html_url: string;
+    name: string;
+    slug: string;
+    description: string;
+    privacy: string;
+    permission: string;
+    members_url: string;
+    repositories_url: string;
+    parent: {
+        [k: string]: unknown;
+    };
+    members_count: number;
+    repos_count: number;
+    created_at: string;
+    updated_at: string;
+    organization: {
+        login: string;
+        id: number;
+        node_id: string;
+        url: string;
+        repos_url: string;
+        events_url: string;
+        hooks_url: string;
+        issues_url: string;
+        members_url: string;
+        public_members_url: string;
+        avatar_url: string;
+        description: string;
+        name: string;
+        company: string;
+        blog: string;
+        location: string;
+        email: string;
+        twitter_username: string;
+        is_verified: boolean;
+        has_organization_projects: boolean;
+        has_repository_projects: boolean;
+        public_repos: number;
+        public_gists: number;
+        followers: number;
+        following: number;
+        html_url: string;
+        created_at: string;
+        type: string;
+    };
+}
+declare type UsersAddEmailForAuthenticatedEndpoint = {
+    /**
+     * Adds one or more email addresses to your GitHub account. Must contain at least one email address. **Note:** Alternatively, you can pass a single email address or an `array` of emails addresses directly, but we recommend that you pass an object using the `emails` key.
+     */
+    emails: string[];
+};
+declare type UsersAddEmailForAuthenticatedRequestOptions = {
+    method: "POST";
+    url: "/user/emails";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersAddEmailForAuthenticatedResponseData = {
+    email: string;
+    primary: boolean;
+    verified: boolean;
+    visibility: string;
+}[];
+declare type UsersBlockEndpoint = {
+    username: string;
+};
+declare type UsersBlockRequestOptions = {
+    method: "PUT";
+    url: "/user/blocks/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersCheckBlockedEndpoint = {
+    username: string;
+};
+declare type UsersCheckBlockedRequestOptions = {
+    method: "GET";
+    url: "/user/blocks/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersCheckFollowingForUserEndpoint = {
+    username: string;
+    target_user: string;
+};
+declare type UsersCheckFollowingForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/following/:target_user";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersCheckPersonIsFollowedByAuthenticatedEndpoint = {
+    username: string;
+};
+declare type UsersCheckPersonIsFollowedByAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/following/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersCreateGpgKeyForAuthenticatedEndpoint = {
+    /**
+     * Your GPG key, generated in ASCII-armored format. See "[Generating a new GPG key](https://docs.github.com/articles/generating-a-new-gpg-key/)" for help creating a GPG key.
+     */
+    armored_public_key?: string;
+};
+declare type UsersCreateGpgKeyForAuthenticatedRequestOptions = {
+    method: "POST";
+    url: "/user/gpg_keys";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface UsersCreateGpgKeyForAuthenticatedResponseData {
+    id: number;
+    primary_key_id: string;
+    key_id: string;
+    public_key: string;
+    emails: {
+        email: string;
+        verified: boolean;
+    }[];
+    subkeys: {
+        id: number;
+        primary_key_id: number;
+        key_id: string;
+        public_key: string;
+        emails: unknown[];
+        subkeys: unknown[];
+        can_sign: boolean;
+        can_encrypt_comms: boolean;
+        can_encrypt_storage: boolean;
+        can_certify: boolean;
+        created_at: string;
+        expires_at: string;
+    }[];
+    can_sign: boolean;
+    can_encrypt_comms: boolean;
+    can_encrypt_storage: boolean;
+    can_certify: boolean;
+    created_at: string;
+    expires_at: string;
+}
+declare type UsersCreatePublicSshKeyForAuthenticatedEndpoint = {
+    /**
+     * A descriptive name for the new key. Use a name that will help you recognize this key in your GitHub account. For example, if you're using a personal Mac, you might call this key "Personal MacBook Air".
+     */
+    title?: string;
+    /**
+     * The public SSH key to add to your GitHub account. See "[Generating a new SSH key](https://docs.github.com/articles/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent/)" for guidance on how to create a public SSH key.
+     */
+    key?: string;
+};
+declare type UsersCreatePublicSshKeyForAuthenticatedRequestOptions = {
+    method: "POST";
+    url: "/user/keys";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface UsersCreatePublicSshKeyForAuthenticatedResponseData {
+    key_id: string;
+    key: string;
+}
+declare type UsersDeleteEmailForAuthenticatedEndpoint = {
+    /**
+     * Deletes one or more email addresses from your GitHub account. Must contain at least one email address. **Note:** Alternatively, you can pass a single email address or an `array` of emails addresses directly, but we recommend that you pass an object using the `emails` key.
+     */
+    emails: string[];
+};
+declare type UsersDeleteEmailForAuthenticatedRequestOptions = {
+    method: "DELETE";
+    url: "/user/emails";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersDeleteGpgKeyForAuthenticatedEndpoint = {
+    gpg_key_id: number;
+};
+declare type UsersDeleteGpgKeyForAuthenticatedRequestOptions = {
+    method: "DELETE";
+    url: "/user/gpg_keys/:gpg_key_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersDeletePublicSshKeyForAuthenticatedEndpoint = {
+    key_id: number;
+};
+declare type UsersDeletePublicSshKeyForAuthenticatedRequestOptions = {
+    method: "DELETE";
+    url: "/user/keys/:key_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersFollowEndpoint = {
+    username: string;
+};
+declare type UsersFollowRequestOptions = {
+    method: "PUT";
+    url: "/user/following/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersGetAuthenticatedEndpoint = {};
+declare type UsersGetAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface UsersGetAuthenticatedResponseData {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+    name: string;
+    company: string;
+    blog: string;
+    location: string;
+    email: string;
+    hireable: boolean;
+    bio: string;
+    twitter_username: string;
+    public_repos: number;
+    public_gists: number;
+    followers: number;
+    following: number;
+    created_at: string;
+    updated_at: string;
+    private_gists: number;
+    total_private_repos: number;
+    owned_private_repos: number;
+    disk_usage: number;
+    collaborators: number;
+    two_factor_authentication: boolean;
+    plan: {
+        name: string;
+        space: number;
+        private_repos: number;
+        collaborators: number;
+    };
+}
+declare type UsersGetByUsernameEndpoint = {
+    username: string;
+};
+declare type UsersGetByUsernameRequestOptions = {
+    method: "GET";
+    url: "/users/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface UsersGetByUsernameResponseData {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+    name: string;
+    company: string;
+    blog: string;
+    location: string;
+    email: string;
+    hireable: boolean;
+    bio: string;
+    twitter_username: string;
+    public_repos: number;
+    public_gists: number;
+    followers: number;
+    following: number;
+    created_at: string;
+    updated_at: string;
+    plan: {
+        name: string;
+        space: number;
+        private_repos: number;
+        collaborators: number;
+    };
+}
+declare type UsersGetContextForUserEndpoint = {
+    username: string;
+    /**
+     * Identifies which additional information you'd like to receive about the person's hovercard. Can be `organization`, `repository`, `issue`, `pull_request`. **Required** when using `subject_id`.
+     */
+    subject_type?: "organization" | "repository" | "issue" | "pull_request";
+    /**
+     * Uses the ID for the `subject_type` you specified. **Required** when using `subject_type`.
+     */
+    subject_id?: string;
+};
+declare type UsersGetContextForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/hovercard";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface UsersGetContextForUserResponseData {
+    contexts: {
+        message: string;
+        octicon: string;
+    }[];
+}
+declare type UsersGetGpgKeyForAuthenticatedEndpoint = {
+    gpg_key_id: number;
+};
+declare type UsersGetGpgKeyForAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/gpg_keys/:gpg_key_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface UsersGetGpgKeyForAuthenticatedResponseData {
+    id: number;
+    primary_key_id: string;
+    key_id: string;
+    public_key: string;
+    emails: {
+        email: string;
+        verified: boolean;
+    }[];
+    subkeys: {
+        id: number;
+        primary_key_id: number;
+        key_id: string;
+        public_key: string;
+        emails: unknown[];
+        subkeys: unknown[];
+        can_sign: boolean;
+        can_encrypt_comms: boolean;
+        can_encrypt_storage: boolean;
+        can_certify: boolean;
+        created_at: string;
+        expires_at: string;
+    }[];
+    can_sign: boolean;
+    can_encrypt_comms: boolean;
+    can_encrypt_storage: boolean;
+    can_certify: boolean;
+    created_at: string;
+    expires_at: string;
+}
+declare type UsersGetPublicSshKeyForAuthenticatedEndpoint = {
+    key_id: number;
+};
+declare type UsersGetPublicSshKeyForAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/keys/:key_id";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface UsersGetPublicSshKeyForAuthenticatedResponseData {
+    key_id: string;
+    key: string;
+}
+declare type UsersListEndpoint = {
+    /**
+     * The integer ID of the last User that you've seen.
+     */
+    since?: string;
+};
+declare type UsersListRequestOptions = {
+    method: "GET";
+    url: "/users";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type UsersListBlockedByAuthenticatedEndpoint = {};
+declare type UsersListBlockedByAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/blocks";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListBlockedByAuthenticatedResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type UsersListEmailsForAuthenticatedEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListEmailsForAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/emails";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListEmailsForAuthenticatedResponseData = {
+    email: string;
+    primary: boolean;
+    verified: boolean;
+    visibility: string;
+}[];
+declare type UsersListFollowedByAuthenticatedEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListFollowedByAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/following";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListFollowedByAuthenticatedResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type UsersListFollowersForAuthenticatedUserEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListFollowersForAuthenticatedUserRequestOptions = {
+    method: "GET";
+    url: "/user/followers";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListFollowersForAuthenticatedUserResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type UsersListFollowersForUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListFollowersForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/followers";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListFollowersForUserResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type UsersListFollowingForUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListFollowingForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/following";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListFollowingForUserResponseData = {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+}[];
+declare type UsersListGpgKeysForAuthenticatedEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListGpgKeysForAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/gpg_keys";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListGpgKeysForAuthenticatedResponseData = {
+    id: number;
+    primary_key_id: string;
+    key_id: string;
+    public_key: string;
+    emails: {
+        email: string;
+        verified: boolean;
+    }[];
+    subkeys: {
+        id: number;
+        primary_key_id: number;
+        key_id: string;
+        public_key: string;
+        emails: unknown[];
+        subkeys: unknown[];
+        can_sign: boolean;
+        can_encrypt_comms: boolean;
+        can_encrypt_storage: boolean;
+        can_certify: boolean;
+        created_at: string;
+        expires_at: string;
+    }[];
+    can_sign: boolean;
+    can_encrypt_comms: boolean;
+    can_encrypt_storage: boolean;
+    can_certify: boolean;
+    created_at: string;
+    expires_at: string;
+}[];
+declare type UsersListGpgKeysForUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListGpgKeysForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/gpg_keys";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListGpgKeysForUserResponseData = {
+    id: number;
+    primary_key_id: string;
+    key_id: string;
+    public_key: string;
+    emails: {
+        email: string;
+        verified: boolean;
+    }[];
+    subkeys: {
+        id: number;
+        primary_key_id: number;
+        key_id: string;
+        public_key: string;
+        emails: unknown[];
+        subkeys: unknown[];
+        can_sign: boolean;
+        can_encrypt_comms: boolean;
+        can_encrypt_storage: boolean;
+        can_certify: boolean;
+        created_at: string;
+        expires_at: string;
+    }[];
+    can_sign: boolean;
+    can_encrypt_comms: boolean;
+    can_encrypt_storage: boolean;
+    can_certify: boolean;
+    created_at: string;
+    expires_at: string;
+}[];
+declare type UsersListPublicEmailsForAuthenticatedEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListPublicEmailsForAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/public_emails";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListPublicEmailsForAuthenticatedResponseData = {
+    email: string;
+    primary: boolean;
+    verified: boolean;
+    visibility: string;
+}[];
+declare type UsersListPublicKeysForUserEndpoint = {
+    username: string;
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListPublicKeysForUserRequestOptions = {
+    method: "GET";
+    url: "/users/:username/keys";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListPublicKeysForUserResponseData = {
+    id: number;
+    key: string;
+}[];
+declare type UsersListPublicSshKeysForAuthenticatedEndpoint = {
+    /**
+     * Results per page (max 100)
+     */
+    per_page?: number;
+    /**
+     * Page number of the results to fetch.
+     */
+    page?: number;
+};
+declare type UsersListPublicSshKeysForAuthenticatedRequestOptions = {
+    method: "GET";
+    url: "/user/keys";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersListPublicSshKeysForAuthenticatedResponseData = {
+    key_id: string;
+    key: string;
+}[];
+declare type UsersSetPrimaryEmailVisibilityForAuthenticatedEndpoint = {
+    /**
+     * Specify the _primary_ email address that needs a visibility change.
+     */
+    email: string;
+    /**
+     * Use `public` to enable an authenticated user to view the specified email address, or use `private` so this primary email address cannot be seen publicly.
+     */
+    visibility: string;
+};
+declare type UsersSetPrimaryEmailVisibilityForAuthenticatedRequestOptions = {
+    method: "PATCH";
+    url: "/user/email/visibility";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export declare type UsersSetPrimaryEmailVisibilityForAuthenticatedResponseData = {
+    email: string;
+    primary: boolean;
+    verified: boolean;
+    visibility: string;
+}[];
+declare type UsersUnblockEndpoint = {
+    username: string;
+};
+declare type UsersUnblockRequestOptions = {
+    method: "DELETE";
+    url: "/user/blocks/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersUnfollowEndpoint = {
+    username: string;
+};
+declare type UsersUnfollowRequestOptions = {
+    method: "DELETE";
+    url: "/user/following/:username";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+declare type UsersUpdateAuthenticatedEndpoint = {
+    /**
+     * The new name of the user.
+     */
+    name?: string;
+    /**
+     * The publicly visible email address of the user.
+     */
+    email?: string;
+    /**
+     * The new blog URL of the user.
+     */
+    blog?: string;
+    /**
+     * The new company of the user.
+     */
+    company?: string;
+    /**
+     * The new location of the user.
+     */
+    location?: string;
+    /**
+     * The new hiring availability of the user.
+     */
+    hireable?: boolean;
+    /**
+     * The new short biography of the user.
+     */
+    bio?: string;
+    /**
+     * The new Twitter username of the user.
+     */
+    twitter_username?: string;
+};
+declare type UsersUpdateAuthenticatedRequestOptions = {
+    method: "PATCH";
+    url: "/user";
+    headers: RequestHeaders;
+    request: RequestRequestOptions;
+};
+export interface UsersUpdateAuthenticatedResponseData {
+    login: string;
+    id: number;
+    node_id: string;
+    avatar_url: string;
+    gravatar_id: string;
+    url: string;
+    html_url: string;
+    followers_url: string;
+    following_url: string;
+    gists_url: string;
+    starred_url: string;
+    subscriptions_url: string;
+    organizations_url: string;
+    repos_url: string;
+    events_url: string;
+    received_events_url: string;
+    type: string;
+    site_admin: boolean;
+    name: string;
+    company: string;
+    blog: string;
+    location: string;
+    email: string;
+    hireable: boolean;
+    bio: string;
+    twitter_username: string;
+    public_repos: number;
+    public_gists: number;
+    followers: number;
+    following: number;
+    created_at: string;
+    updated_at: string;
+    private_gists: number;
+    total_private_repos: number;
+    owned_private_repos: number;
+    disk_usage: number;
+    collaborators: number;
+    two_factor_authentication: boolean;
+    plan: {
+        name: string;
+        space: number;
+        private_repos: number;
+        collaborators: number;
+    };
+}
+declare type ActionsCreateWorkflowDispatchParamsInputs = {
+    [key: string]: ActionsCreateWorkflowDispatchParamsInputsKeyString;
+};
+declare type ActionsCreateWorkflowDispatchParamsInputsKeyString = {};
+declare type AppsCreateInstallationAccessTokenParamsPermissions = {
+    [key: string]: AppsCreateInstallationAccessTokenParamsPermissionsKeyString;
+};
+declare type AppsCreateInstallationAccessTokenParamsPermissionsKeyString = {};
+declare type ChecksCreateParamsOutput = {
+    title: string;
+    summary: string;
+    text?: string;
+    annotations?: ChecksCreateParamsOutputAnnotations[];
+    images?: ChecksCreateParamsOutputImages[];
+};
+declare type ChecksCreateParamsOutputAnnotations = {
+    path: string;
+    start_line: number;
+    end_line: number;
+    start_column?: number;
+    end_column?: number;
+    annotation_level: "notice" | "warning" | "failure";
+    message: string;
+    title?: string;
+    raw_details?: string;
+};
+declare type ChecksCreateParamsOutputImages = {
+    alt: string;
+    image_url: string;
+    caption?: string;
+};
+declare type ChecksCreateParamsActions = {
+    label: string;
+    description: string;
+    identifier: string;
+};
+declare type ChecksSetSuitesPreferencesParamsAutoTriggerChecks = {
+    app_id: number;
+    setting: boolean;
+};
+declare type ChecksUpdateParamsOutput = {
+    title?: string;
+    summary: string;
+    text?: string;
+    annotations?: ChecksUpdateParamsOutputAnnotations[];
+    images?: ChecksUpdateParamsOutputImages[];
+};
+declare type ChecksUpdateParamsOutputAnnotations = {
+    path: string;
+    start_line: number;
+    end_line: number;
+    start_column?: number;
+    end_column?: number;
+    annotation_level: "notice" | "warning" | "failure";
+    message: string;
+    title?: string;
+    raw_details?: string;
+};
+declare type ChecksUpdateParamsOutputImages = {
+    alt: string;
+    image_url: string;
+    caption?: string;
+};
+declare type ChecksUpdateParamsActions = {
+    label: string;
+    description: string;
+    identifier: string;
+};
+declare type EnterpriseAdminProvisionAndInviteEnterpriseGroupParamsMembers = {
+    value: string;
+};
+declare type EnterpriseAdminProvisionAndInviteEnterpriseUserParamsName = {
+    givenName: string;
+    familyName: string;
+};
+declare type EnterpriseAdminProvisionAndInviteEnterpriseUserParamsEmails = {
+    value: string;
+    type: string;
+    primary: boolean;
+};
+declare type EnterpriseAdminProvisionAndInviteEnterpriseUserParamsGroups = {
+    value?: string;
+};
+declare type EnterpriseAdminSetInformationForProvisionedEnterpriseGroupParamsMembers = {
+    value: string;
+};
+declare type EnterpriseAdminSetInformationForProvisionedEnterpriseUserParamsName = {
+    givenName: string;
+    familyName: string;
+};
+declare type EnterpriseAdminSetInformationForProvisionedEnterpriseUserParamsEmails = {
+    value: string;
+    type: string;
+    primary: boolean;
+};
+declare type EnterpriseAdminSetInformationForProvisionedEnterpriseUserParamsGroups = {
+    value?: string;
+};
+declare type EnterpriseAdminUpdateAttributeForEnterpriseGroupParamsOperations = {};
+declare type EnterpriseAdminUpdateAttributeForEnterpriseUserParamsOperations = {};
+declare type GistsCreateParamsFiles = {
+    [key: string]: GistsCreateParamsFilesKeyString;
+};
+declare type GistsCreateParamsFilesKeyString = {
+    content: string;
+};
+declare type GistsUpdateParamsFiles = {
+    [key: string]: GistsUpdateParamsFilesKeyString;
+};
+declare type GistsUpdateParamsFilesKeyString = {
+    content: string;
+    filename: string;
+};
+declare type GitCreateCommitParamsAuthor = {
+    name?: string;
+    email?: string;
+    date?: string;
+};
+declare type GitCreateCommitParamsCommitter = {
+    name?: string;
+    email?: string;
+    date?: string;
+};
+declare type GitCreateTagParamsTagger = {
+    name?: string;
+    email?: string;
+    date?: string;
+};
+declare type GitCreateTreeParamsTree = {
+    path?: string;
+    mode?: "100644" | "100755" | "040000" | "160000" | "120000";
+    type?: "blob" | "tree" | "commit";
+    sha?: string | null;
+    content?: string;
+};
+declare type OrgsCreateWebhookParamsConfig = {
+    url: string;
+    content_type?: string;
+    secret?: string;
+    insecure_ssl?: string;
+};
+declare type OrgsUpdateWebhookParamsConfig = {
+    url: string;
+    content_type?: string;
+    secret?: string;
+    insecure_ssl?: string;
+};
+declare type PullsCreateReviewParamsComments = {
+    path: string;
+    position: number;
+    body: string;
+};
+declare type ReposCreateDispatchEventParamsClientPayload = {
+    [key: string]: ReposCreateDispatchEventParamsClientPayloadKeyString;
+};
+declare type ReposCreateDispatchEventParamsClientPayloadKeyString = {};
+declare type ReposCreateOrUpdateFileContentsParamsCommitter = {
+    name: string;
+    email: string;
+};
+declare type ReposCreateOrUpdateFileContentsParamsAuthor = {
+    name: string;
+    email: string;
+};
+declare type ReposCreatePagesSiteParamsSource = {
+    branch?: "master" | "gh-pages";
+    path?: string;
+};
+declare type ReposCreateWebhookParamsConfig = {
+    url: string;
+    content_type?: string;
+    secret?: string;
+    insecure_ssl?: string;
+};
+declare type ReposDeleteFileParamsCommitter = {
+    name?: string;
+    email?: string;
+};
+declare type ReposDeleteFileParamsAuthor = {
+    name?: string;
+    email?: string;
+};
+declare type ReposUpdateBranchProtectionParamsRequiredStatusChecks = {
+    strict: boolean;
+    contexts: string[];
+};
+declare type ReposUpdateBranchProtectionParamsRequiredPullRequestReviews = {
+    dismissal_restrictions?: ReposUpdateBranchProtectionParamsRequiredPullRequestReviewsDismissalRestrictions;
+    dismiss_stale_reviews?: boolean;
+    require_code_owner_reviews?: boolean;
+    required_approving_review_count?: number;
+};
+declare type ReposUpdateBranchProtectionParamsRequiredPullRequestReviewsDismissalRestrictions = {
+    users?: string[];
+    teams?: string[];
+};
+declare type ReposUpdateBranchProtectionParamsRestrictions = {
+    users: string[];
+    teams: string[];
+    apps?: string[];
+};
+declare type ReposUpdatePullRequestReviewProtectionParamsDismissalRestrictions = {
+    users?: string[];
+    teams?: string[];
+};
+declare type ReposUpdateWebhookParamsConfig = {
+    url: string;
+    content_type?: string;
+    secret?: string;
+    insecure_ssl?: string;
+};
+declare type ScimProvisionAndInviteUserParamsName = {
+    givenName: string;
+    familyName: string;
+};
+declare type ScimProvisionAndInviteUserParamsEmails = {
+    value: string;
+    type: string;
+    primary: boolean;
+};
+declare type ScimSetInformationForProvisionedUserParamsName = {
+    givenName: string;
+    familyName: string;
+};
+declare type ScimSetInformationForProvisionedUserParamsEmails = {
+    value: string;
+    type: string;
+    primary: boolean;
+};
+declare type ScimUpdateAttributeForUserParamsOperations = {};
+declare type TeamsCreateOrUpdateIdPGroupConnectionsInOrgParamsGroups = {
+    group_id: string;
+    group_name: string;
+    group_description: string;
+};
+declare type TeamsCreateOrUpdateIdPGroupConnectionsLegacyParamsGroups = {
+    group_id: string;
+    group_name: string;
+    group_description: string;
+};
+export {};
diff --git a/node_modules/@octokit/types/dist-types/index.d.ts b/node_modules/@octokit/types/dist-types/index.d.ts
new file mode 100644
index 000000000..5d2d5ae09
--- /dev/null
+++ b/node_modules/@octokit/types/dist-types/index.d.ts
@@ -0,0 +1,20 @@
+export * from "./AuthInterface";
+export * from "./EndpointDefaults";
+export * from "./EndpointInterface";
+export * from "./EndpointOptions";
+export * from "./Fetch";
+export * from "./OctokitResponse";
+export * from "./RequestHeaders";
+export * from "./RequestInterface";
+export * from "./RequestMethod";
+export * from "./RequestOptions";
+export * from "./RequestParameters";
+export * from "./RequestRequestOptions";
+export * from "./ResponseHeaders";
+export * from "./Route";
+export * from "./Signal";
+export * from "./StrategyInterface";
+export * from "./Url";
+export * from "./VERSION";
+export * from "./GetResponseTypeFromEndpointMethod";
+export * from "./generated/Endpoints";
diff --git a/node_modules/@octokit/types/dist-web/index.js b/node_modules/@octokit/types/dist-web/index.js
new file mode 100644
index 000000000..61dcf9179
--- /dev/null
+++ b/node_modules/@octokit/types/dist-web/index.js
@@ -0,0 +1,4 @@
+const VERSION = "5.2.0";
+
+export { VERSION };
+//# sourceMappingURL=index.js.map
diff --git a/node_modules/@octokit/types/dist-web/index.js.map b/node_modules/@octokit/types/dist-web/index.js.map
new file mode 100644
index 000000000..cd0e254a5
--- /dev/null
+++ b/node_modules/@octokit/types/dist-web/index.js.map
@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sources":["../dist-src/VERSION.js"],"sourcesContent":["export const VERSION = \"0.0.0-development\";\n"],"names":[],"mappings":"AAAY,MAAC,OAAO,GAAG;;;;"}
\ No newline at end of file
diff --git a/node_modules/@octokit/types/package.json b/node_modules/@octokit/types/package.json
index 1e3c20378..8f6559ef0 100644
--- a/node_modules/@octokit/types/package.json
+++ b/node_modules/@octokit/types/package.json
@@ -1,41 +1,40 @@
 {
   "_args": [
     [
-      "@octokit/types@2.1.1",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "@octokit/types@5.2.0",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@octokit/types@2.1.1",
-  "_id": "@octokit/types@2.1.1",
+  "_from": "@octokit/types@5.2.0",
+  "_id": "@octokit/types@5.2.0",
   "_inBundle": false,
-  "_integrity": "sha512-89LOYH+d/vsbDX785NOfLxTW88GjNd0lWRz1DVPVsZgg9Yett5O+3MOvwo7iHgvUwbFz0mf/yPIjBkUbs4kxoQ==",
+  "_integrity": "sha512-XjOk9y4m8xTLIKPe1NFxNWBdzA2/z3PFFA/bwf4EoH6oS8hM0Y46mEa4Cb+KCyj/tFDznJFahzQ0Aj3o1FYq4A==",
   "_location": "/@octokit/types",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@octokit/types@2.1.1",
+    "raw": "@octokit/types@5.2.0",
     "name": "@octokit/types",
     "escapedName": "@octokit%2ftypes",
     "scope": "@octokit",
-    "rawSpec": "2.1.1",
+    "rawSpec": "5.2.0",
     "saveSpec": null,
-    "fetchSpec": "2.1.1"
+    "fetchSpec": "5.2.0"
   },
   "_requiredBy": [
     "/@octokit/auth-token",
+    "/@octokit/core",
     "/@octokit/endpoint",
     "/@octokit/graphql",
+    "/@octokit/plugin-paginate-rest",
+    "/@octokit/plugin-rest-endpoint-methods",
     "/@octokit/request",
     "/@octokit/request-error"
   ],
-  "_resolved": "https://registry.npmjs.org/@octokit/types/-/types-2.1.1.tgz",
-  "_spec": "2.1.1",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
-  "author": {
-    "name": "Gregor Martynus",
-    "url": "https://twitter.com/gr2m"
-  },
+  "_resolved": "https://registry.npmjs.org/@octokit/types/-/types-5.2.0.tgz",
+  "_spec": "5.2.0",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/octokit/types.ts/issues"
   },
@@ -45,20 +44,26 @@
   "description": "Shared TypeScript definitions for Octokit projects",
   "devDependencies": {
     "@octokit/graphql": "^4.2.2",
-    "handlebars": "^4.4.5",
+    "@pika/pack": "^0.5.0",
+    "@pika/plugin-build-node": "^0.9.0",
+    "@pika/plugin-build-web": "^0.9.0",
+    "@pika/plugin-ts-standard-pkg": "^0.9.0",
+    "handlebars": "^4.7.6",
+    "json-schema-to-typescript": "^9.1.0",
     "lodash.set": "^4.3.2",
     "npm-run-all": "^4.1.5",
     "pascal-case": "^3.1.1",
-    "prettier": "^1.18.2",
-    "semantic-release": "^16.0.0",
+    "prettier": "^2.0.0",
+    "semantic-release": "^17.0.0",
     "semantic-release-plugin-update-version-in-files": "^1.0.0",
     "sort-keys": "^4.0.0",
     "string-to-jsdoc-comment": "^1.0.0",
-    "typedoc": "^0.16.0",
+    "typedoc": "^0.17.0",
     "typescript": "^3.6.4"
   },
   "files": [
-    "src/"
+    "dist-*/",
+    "bin/"
   ],
   "homepage": "https://github.com/octokit/types.ts#readme",
   "keywords": [
@@ -69,40 +74,19 @@
     "typescript"
   ],
   "license": "MIT",
-  "main": "src/index.ts",
+  "main": "dist-node/index.js",
+  "module": "dist-web/index.js",
   "name": "@octokit/types",
+  "pika": true,
   "publishConfig": {
     "access": "public"
   },
-  "release": {
-    "plugins": [
-      "@semantic-release/commit-analyzer",
-      "@semantic-release/release-notes-generator",
-      "@semantic-release/github",
-      "@semantic-release/npm",
-      [
-        "semantic-release-plugin-update-version-in-files",
-        {
-          "files": [
-            "src/VERSION.ts"
-          ]
-        }
-      ]
-    ]
-  },
   "repository": {
     "type": "git",
     "url": "git+https://github.com/octokit/types.ts.git"
   },
-  "scripts": {
-    "docs": "typedoc --module commonjs --readme none --out docs src/",
-    "lint": "prettier --check '{src,test}/**/*' README.md package.json !src/generated/*",
-    "lint:fix": "prettier --write '{src,test}/**/*' README.md package.json !src/generated/*",
-    "pretest": "npm run -s lint",
-    "test": "tsc --noEmit --declaration src/index.ts",
-    "update-endpoints": "npm-run-all update-endpoints:*",
-    "update-endpoints:fetch-json": "node scripts/update-endpoints/fetch-json",
-    "update-endpoints:typescript": "node scripts/update-endpoints/typescript"
-  },
-  "version": "2.1.1"
+  "sideEffects": false,
+  "source": "dist-src/index.js",
+  "types": "dist-types/index.d.ts",
+  "version": "5.2.0"
 }
diff --git a/node_modules/@octokit/types/src/AuthInterface.ts b/node_modules/@octokit/types/src/AuthInterface.ts
deleted file mode 100644
index 8f5874360..000000000
--- a/node_modules/@octokit/types/src/AuthInterface.ts
+++ /dev/null
@@ -1,43 +0,0 @@
-import { EndpointOptions } from "./EndpointOptions";
-import { OctokitResponse } from "./OctokitResponse";
-import { RequestInterface } from "./RequestInterface";
-import { RequestParameters } from "./RequestParameters";
-import { Route } from "./Route";
-
-/**
- * Interface to implement complex authentication strategies for Octokit.
- * An object Implementing the AuthInterface can directly be passed as the
- * `auth` option in the Octokit constructor.
- *
- * For the official implementations of the most common authentication
- * strategies, see https://github.com/octokit/auth.js
- */
-export interface AuthInterface<
-  AuthOptions extends any[],
-  Authentication extends any
-> {
-  (...args: AuthOptions): Promise<Authentication>;
-
-  hook: {
-    /**
-     * Sends a request using the passed `request` instance
-     *
-     * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-     */
-    <T = any>(request: RequestInterface, options: EndpointOptions): Promise<
-      OctokitResponse<T>
-    >;
-
-    /**
-     * Sends a request using the passed `request` instance
-     *
-     * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
-     * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-     */
-    <T = any>(
-      request: RequestInterface,
-      route: Route,
-      parameters?: RequestParameters
-    ): Promise<OctokitResponse<T>>;
-  };
-}
diff --git a/node_modules/@octokit/types/src/EndpointDefaults.ts b/node_modules/@octokit/types/src/EndpointDefaults.ts
deleted file mode 100644
index 024f6ebbb..000000000
--- a/node_modules/@octokit/types/src/EndpointDefaults.ts
+++ /dev/null
@@ -1,22 +0,0 @@
-import { RequestHeaders } from "./RequestHeaders";
-import { RequestMethod } from "./RequestMethod";
-import { RequestParameters } from "./RequestParameters";
-import { Url } from "./Url";
-
-/**
- * The `.endpoint()` method is guaranteed to set all keys defined by RequestParameters
- * as well as the method property.
- */
-export type EndpointDefaults = RequestParameters & {
-  baseUrl: Url;
-  method: RequestMethod;
-  url?: Url;
-  headers: RequestHeaders & {
-    accept: string;
-    "user-agent": string;
-  };
-  mediaType: {
-    format: string;
-    previews: string[];
-  };
-};
diff --git a/node_modules/@octokit/types/src/EndpointInterface.ts b/node_modules/@octokit/types/src/EndpointInterface.ts
deleted file mode 100644
index fee78d619..000000000
--- a/node_modules/@octokit/types/src/EndpointInterface.ts
+++ /dev/null
@@ -1,74 +0,0 @@
-import { EndpointDefaults } from "./EndpointDefaults";
-import { EndpointOptions } from "./EndpointOptions";
-import { RequestOptions } from "./RequestOptions";
-import { RequestParameters } from "./RequestParameters";
-import { Route } from "./Route";
-
-import { Endpoints } from "./generated/Endpoints";
-
-export interface EndpointInterface {
-  /**
-   * Transforms a GitHub REST API endpoint into generic request options
-   *
-   * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-   */
-  (options: EndpointOptions): RequestOptions;
-
-  /**
-   * Transforms a GitHub REST API endpoint into generic request options
-   *
-   * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
-   * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-   */
-  <R extends Route>(
-    route: keyof Endpoints | R,
-    options?: R extends keyof Endpoints
-      ? Endpoints[R][0] & RequestParameters
-      : RequestParameters
-  ): R extends keyof Endpoints ? Endpoints[R][1] : RequestOptions;
-
-  /**
-   * Object with current default route and parameters
-   */
-  DEFAULTS: EndpointDefaults;
-
-  /**
-   * Returns a new `endpoint` with updated route and parameters
-   */
-  defaults: (newDefaults: RequestParameters) => EndpointInterface;
-
-  merge: {
-    /**
-     * Merges current endpoint defaults with passed route and parameters,
-     * without transforming them into request options.
-     *
-     * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
-     * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-     *
-     */
-    (route: Route, parameters?: RequestParameters): EndpointDefaults;
-
-    /**
-     * Merges current endpoint defaults with passed route and parameters,
-     * without transforming them into request options.
-     *
-     * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-     */
-    (options: RequestParameters): EndpointDefaults;
-
-    /**
-     * Returns current default options.
-     *
-     * @deprecated use endpoint.DEFAULTS instead
-     */
-    (): EndpointDefaults;
-  };
-
-  /**
-   * Stateless method to turn endpoint options into request options.
-   * Calling `endpoint(options)` is the same as calling `endpoint.parse(endpoint.merge(options))`.
-   *
-   * @param {object} options `method`, `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-   */
-  parse: (options: EndpointDefaults) => RequestOptions;
-}
diff --git a/node_modules/@octokit/types/src/EndpointOptions.ts b/node_modules/@octokit/types/src/EndpointOptions.ts
deleted file mode 100644
index 01706049f..000000000
--- a/node_modules/@octokit/types/src/EndpointOptions.ts
+++ /dev/null
@@ -1,8 +0,0 @@
-import { RequestMethod } from "./RequestMethod";
-import { Url } from "./Url";
-import { RequestParameters } from "./RequestParameters";
-
-export type EndpointOptions = RequestParameters & {
-  method: RequestMethod;
-  url: Url;
-};
diff --git a/node_modules/@octokit/types/src/Fetch.ts b/node_modules/@octokit/types/src/Fetch.ts
deleted file mode 100644
index 983c79be1..000000000
--- a/node_modules/@octokit/types/src/Fetch.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-/**
- * Browser's fetch method (or compatible such as fetch-mock)
- */
-export type Fetch = any;
diff --git a/node_modules/@octokit/types/src/OctokitResponse.ts b/node_modules/@octokit/types/src/OctokitResponse.ts
deleted file mode 100644
index 4cec20d9d..000000000
--- a/node_modules/@octokit/types/src/OctokitResponse.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-import { ResponseHeaders } from "./ResponseHeaders";
-import { Url } from "./Url";
-
-export type OctokitResponse<T> = {
-  headers: ResponseHeaders;
-  /**
-   * http response code
-   */
-  status: number;
-  /**
-   * URL of response after all redirects
-   */
-  url: Url;
-  /**
-   *  This is the data you would see in https://developer.Octokit.com/v3/
-   */
-  data: T;
-};
diff --git a/node_modules/@octokit/types/src/RequestHeaders.ts b/node_modules/@octokit/types/src/RequestHeaders.ts
deleted file mode 100644
index 0df663612..000000000
--- a/node_modules/@octokit/types/src/RequestHeaders.ts
+++ /dev/null
@@ -1,15 +0,0 @@
-export type RequestHeaders = {
-  /**
-   * Avoid setting `headers.accept`, use `mediaType.{format|previews}` option instead.
-   */
-  accept?: string;
-  /**
-   * Use `authorization` to send authenticated request, remember `token ` / `bearer ` prefixes. Example: `token 1234567890abcdef1234567890abcdef12345678`
-   */
-  authorization?: string;
-  /**
-   * `user-agent` is set do a default and can be overwritten as needed.
-   */
-  "user-agent"?: string;
-  [header: string]: string | number | undefined;
-};
diff --git a/node_modules/@octokit/types/src/RequestInterface.ts b/node_modules/@octokit/types/src/RequestInterface.ts
deleted file mode 100644
index bc4c74fc9..000000000
--- a/node_modules/@octokit/types/src/RequestInterface.ts
+++ /dev/null
@@ -1,34 +0,0 @@
-import { EndpointInterface } from "./EndpointInterface";
-import { EndpointOptions } from "./EndpointOptions";
-import { OctokitResponse } from "./OctokitResponse";
-import { RequestParameters } from "./RequestParameters";
-import { Route } from "./Route";
-
-export interface RequestInterface {
-  /**
-   * Sends a request based on endpoint options
-   *
-   * @param {object} endpoint Must set `method` and `url`. Plus URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-   */
-  <T = any>(options: EndpointOptions): Promise<OctokitResponse<T>>;
-
-  /**
-   * Sends a request based on endpoint options
-   *
-   * @param {string} route Request method + URL. Example: `'GET /orgs/:org'`
-   * @param {object} [parameters] URL, query or body parameters, as well as `headers`, `mediaType.{format|previews}`, `request`, or `baseUrl`.
-   */
-  <T = any>(route: Route, parameters?: RequestParameters): Promise<
-    OctokitResponse<T>
-  >;
-
-  /**
-   * Returns a new `endpoint` with updated route and parameters
-   */
-  defaults: (newDefaults: RequestParameters) => RequestInterface;
-
-  /**
-   * Octokit endpoint API, see {@link https://github.com/octokit/endpoint.js|@octokit/endpoint}
-   */
-  endpoint: EndpointInterface;
-}
diff --git a/node_modules/@octokit/types/src/RequestMethod.ts b/node_modules/@octokit/types/src/RequestMethod.ts
deleted file mode 100644
index 2910435a0..000000000
--- a/node_modules/@octokit/types/src/RequestMethod.ts
+++ /dev/null
@@ -1,10 +0,0 @@
-/**
- * HTTP Verb supported by GitHub's REST API
- */
-export type RequestMethod =
-  | "DELETE"
-  | "GET"
-  | "HEAD"
-  | "PATCH"
-  | "POST"
-  | "PUT";
diff --git a/node_modules/@octokit/types/src/RequestOptions.ts b/node_modules/@octokit/types/src/RequestOptions.ts
deleted file mode 100644
index 4d765c091..000000000
--- a/node_modules/@octokit/types/src/RequestOptions.ts
+++ /dev/null
@@ -1,15 +0,0 @@
-import { RequestHeaders } from "./RequestHeaders";
-import { RequestMethod } from "./RequestMethod";
-import { RequestRequestOptions } from "./RequestRequestOptions";
-import { Url } from "./Url";
-
-/**
- * Generic request options as they are returned by the `endpoint()` method
- */
-export type RequestOptions = {
-  method: RequestMethod;
-  url: Url;
-  headers: RequestHeaders;
-  body?: any;
-  request?: RequestRequestOptions;
-};
diff --git a/node_modules/@octokit/types/src/RequestParameters.ts b/node_modules/@octokit/types/src/RequestParameters.ts
deleted file mode 100644
index 9766be006..000000000
--- a/node_modules/@octokit/types/src/RequestParameters.ts
+++ /dev/null
@@ -1,46 +0,0 @@
-import { RequestRequestOptions } from "./RequestRequestOptions";
-import { RequestHeaders } from "./RequestHeaders";
-import { Url } from "./Url";
-
-/**
- * Parameters that can be passed into `request(route, parameters)` or `endpoint(route, parameters)` methods
- */
-export type RequestParameters = {
-  /**
-   * Base URL to be used when a relative URL is passed, such as `/orgs/:org`.
-   * If `baseUrl` is `https://enterprise.acme-inc.com/api/v3`, then the request
-   * will be sent to `https://enterprise.acme-inc.com/api/v3/orgs/:org`.
-   */
-  baseUrl?: Url;
-  /**
-   * HTTP headers. Use lowercase keys.
-   */
-  headers?: RequestHeaders;
-  /**
-   * Media type options, see {@link https://developer.github.com/v3/media/|GitHub Developer Guide}
-   */
-  mediaType?: {
-    /**
-     * `json` by default. Can be `raw`, `text`, `html`, `full`, `diff`, `patch`, `sha`, `base64`. Depending on endpoint
-     */
-    format?: string;
-    /**
-     * Custom media type names of {@link https://developer.github.com/v3/media/|API Previews} without the `-preview` suffix.
-     * Example for single preview: `['squirrel-girl']`.
-     * Example for multiple previews: `['squirrel-girl', 'mister-fantastic']`.
-     */
-    previews?: string[];
-  };
-  /**
-   * Pass custom meta information for the request. The `request` object will be returned as is.
-   */
-  request?: RequestRequestOptions;
-  /**
-   * Any additional parameter will be passed as follows
-   * 1. URL parameter if `':parameter'` or `{parameter}` is part of `url`
-   * 2. Query parameter if `method` is `'GET'` or `'HEAD'`
-   * 3. Request body if `parameter` is `'data'`
-   * 4. JSON in the request body in the form of `body[parameter]` unless `parameter` key is `'data'`
-   */
-  [parameter: string]: any;
-};
diff --git a/node_modules/@octokit/types/src/RequestRequestOptions.ts b/node_modules/@octokit/types/src/RequestRequestOptions.ts
deleted file mode 100644
index 028d6f72d..000000000
--- a/node_modules/@octokit/types/src/RequestRequestOptions.ts
+++ /dev/null
@@ -1,27 +0,0 @@
-import { Agent } from "http";
-import { Fetch } from "./Fetch";
-import { Signal } from "./Signal";
-
-/**
- * Octokit-specific request options which are ignored for the actual request, but can be used by Octokit or plugins to manipulate how the request is sent or how a response is handled
- */
-export type RequestRequestOptions = {
-  /**
-   * Node only. Useful for custom proxy, certificate, or dns lookup.
-   */
-  agent?: Agent;
-  /**
-   * Custom replacement for built-in fetch method. Useful for testing or request hooks.
-   */
-  fetch?: Fetch;
-  /**
-   * Use an `AbortController` instance to cancel a request. In node you can only cancel streamed requests.
-   */
-  signal?: Signal;
-  /**
-   * Node only. Request/response timeout in ms, it resets on redirect. 0 to disable (OS limit applies). `options.request.signal` is recommended instead.
-   */
-  timeout?: number;
-
-  [option: string]: any;
-};
diff --git a/node_modules/@octokit/types/src/ResponseHeaders.ts b/node_modules/@octokit/types/src/ResponseHeaders.ts
deleted file mode 100644
index 17267b602..000000000
--- a/node_modules/@octokit/types/src/ResponseHeaders.ts
+++ /dev/null
@@ -1,21 +0,0 @@
-export type ResponseHeaders = {
-  "cache-control"?: string;
-  "content-length"?: number;
-  "content-type"?: string;
-  date?: string;
-  etag?: string;
-  "last-modified"?: string;
-  link?: string;
-  location?: string;
-  server?: string;
-  status?: string;
-  vary?: string;
-  "x-github-mediatype"?: string;
-  "x-github-request-id"?: string;
-  "x-oauth-scopes"?: string;
-  "x-ratelimit-limit"?: string;
-  "x-ratelimit-remaining"?: string;
-  "x-ratelimit-reset"?: string;
-
-  [header: string]: string | number | undefined;
-};
diff --git a/node_modules/@octokit/types/src/Route.ts b/node_modules/@octokit/types/src/Route.ts
deleted file mode 100644
index c5229a8bd..000000000
--- a/node_modules/@octokit/types/src/Route.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-/**
- * String consisting of an optional HTTP method and relative path or absolute URL. Examples: `'/orgs/:org'`, `'PUT /orgs/:org'`, `GET https://example.com/foo/bar`
- */
-export type Route = string;
diff --git a/node_modules/@octokit/types/src/Signal.ts b/node_modules/@octokit/types/src/Signal.ts
deleted file mode 100644
index bdf97001e..000000000
--- a/node_modules/@octokit/types/src/Signal.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-/**
- * Abort signal
- *
- * @see https://developer.mozilla.org/en-US/docs/Web/API/AbortSignal
- */
-export type Signal = any;
diff --git a/node_modules/@octokit/types/src/StrategyInterface.ts b/node_modules/@octokit/types/src/StrategyInterface.ts
deleted file mode 100644
index 60a55add9..000000000
--- a/node_modules/@octokit/types/src/StrategyInterface.ts
+++ /dev/null
@@ -1,9 +0,0 @@
-import { AuthInterface } from "./AuthInterface";
-
-export interface StrategyInterface<
-  StrategyOptions extends any[],
-  AuthOptions extends any[],
-  Authentication extends object
-> {
-  (...args: StrategyOptions): AuthInterface<AuthOptions, Authentication>;
-}
diff --git a/node_modules/@octokit/types/src/Url.ts b/node_modules/@octokit/types/src/Url.ts
deleted file mode 100644
index 9d228cbf0..000000000
--- a/node_modules/@octokit/types/src/Url.ts
+++ /dev/null
@@ -1,4 +0,0 @@
-/**
- * Relative or absolute URL. Examples: `'/orgs/:org'`, `https://example.com/foo/bar`
- */
-export type Url = string;
diff --git a/node_modules/@octokit/types/src/VERSION.ts b/node_modules/@octokit/types/src/VERSION.ts
deleted file mode 100644
index b74d99126..000000000
--- a/node_modules/@octokit/types/src/VERSION.ts
+++ /dev/null
@@ -1 +0,0 @@
-export const VERSION = "2.1.1";
diff --git a/node_modules/@octokit/types/src/generated/Endpoints.ts b/node_modules/@octokit/types/src/generated/Endpoints.ts
deleted file mode 100644
index 4137f27ea..000000000
--- a/node_modules/@octokit/types/src/generated/Endpoints.ts
+++ /dev/null
@@ -1,16306 +0,0 @@
-// DO NOT EDIT THIS FILE
-import { RequestHeaders } from "../RequestHeaders";
-import { RequestRequestOptions } from "../RequestRequestOptions";
-import { Url } from "../Url";
-
-export interface Endpoints {
-  "DELETE /app/installations/:installation_id": [
-    AppsDeleteInstallationEndpoint,
-    AppsDeleteInstallationRequestOptions
-  ];
-  "DELETE /applications/:client_id/grant": [
-    AppsDeleteAuthorizationEndpoint,
-    AppsDeleteAuthorizationRequestOptions
-  ];
-  "DELETE /applications/:client_id/grants/:access_token": [
-
-      | AppsRevokeGrantForApplicationEndpoint
-      | OauthAuthorizationsRevokeGrantForApplicationEndpoint,
-
-      | AppsRevokeGrantForApplicationRequestOptions
-      | OauthAuthorizationsRevokeGrantForApplicationRequestOptions
-  ];
-  "DELETE /applications/:client_id/token": [
-    AppsDeleteTokenEndpoint,
-    AppsDeleteTokenRequestOptions
-  ];
-  "DELETE /applications/:client_id/tokens/:access_token": [
-
-      | AppsRevokeAuthorizationForApplicationEndpoint
-      | OauthAuthorizationsRevokeAuthorizationForApplicationEndpoint,
-
-      | AppsRevokeAuthorizationForApplicationRequestOptions
-      | OauthAuthorizationsRevokeAuthorizationForApplicationRequestOptions
-  ];
-  "DELETE /applications/grants/:grant_id": [
-    OauthAuthorizationsDeleteGrantEndpoint,
-    OauthAuthorizationsDeleteGrantRequestOptions
-  ];
-  "DELETE /authorizations/:authorization_id": [
-    OauthAuthorizationsDeleteAuthorizationEndpoint,
-    OauthAuthorizationsDeleteAuthorizationRequestOptions
-  ];
-  "DELETE /gists/:gist_id": [GistsDeleteEndpoint, GistsDeleteRequestOptions];
-  "DELETE /gists/:gist_id/comments/:comment_id": [
-    GistsDeleteCommentEndpoint,
-    GistsDeleteCommentRequestOptions
-  ];
-  "DELETE /gists/:gist_id/star": [
-    GistsUnstarEndpoint,
-    GistsUnstarRequestOptions
-  ];
-  "DELETE /installation/token": [
-    AppsRevokeInstallationTokenEndpoint,
-    AppsRevokeInstallationTokenRequestOptions
-  ];
-  "DELETE /notifications/threads/:thread_id/subscription": [
-    ActivityDeleteThreadSubscriptionEndpoint,
-    ActivityDeleteThreadSubscriptionRequestOptions
-  ];
-  "DELETE /orgs/:org/blocks/:username": [
-    OrgsUnblockUserEndpoint,
-    OrgsUnblockUserRequestOptions
-  ];
-  "DELETE /orgs/:org/credential-authorizations/:credential_id": [
-    OrgsRemoveCredentialAuthorizationEndpoint,
-    OrgsRemoveCredentialAuthorizationRequestOptions
-  ];
-  "DELETE /orgs/:org/hooks/:hook_id": [
-    OrgsDeleteHookEndpoint,
-    OrgsDeleteHookRequestOptions
-  ];
-  "DELETE /orgs/:org/interaction-limits": [
-    InteractionsRemoveRestrictionsForOrgEndpoint,
-    InteractionsRemoveRestrictionsForOrgRequestOptions
-  ];
-  "DELETE /orgs/:org/members/:username": [
-    OrgsRemoveMemberEndpoint,
-    OrgsRemoveMemberRequestOptions
-  ];
-  "DELETE /orgs/:org/memberships/:username": [
-    OrgsRemoveMembershipEndpoint,
-    OrgsRemoveMembershipRequestOptions
-  ];
-  "DELETE /orgs/:org/migrations/:migration_id/archive": [
-    MigrationsDeleteArchiveForOrgEndpoint,
-    MigrationsDeleteArchiveForOrgRequestOptions
-  ];
-  "DELETE /orgs/:org/migrations/:migration_id/repos/:repo_name/lock": [
-    MigrationsUnlockRepoForOrgEndpoint,
-    MigrationsUnlockRepoForOrgRequestOptions
-  ];
-  "DELETE /orgs/:org/outside_collaborators/:username": [
-    OrgsRemoveOutsideCollaboratorEndpoint,
-    OrgsRemoveOutsideCollaboratorRequestOptions
-  ];
-  "DELETE /orgs/:org/public_members/:username": [
-    OrgsConcealMembershipEndpoint,
-    OrgsConcealMembershipRequestOptions
-  ];
-  "DELETE /orgs/:org/teams/:team_slug": [
-    TeamsDeleteInOrgEndpoint,
-    TeamsDeleteInOrgRequestOptions
-  ];
-  "DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number": [
-    TeamsDeleteDiscussionInOrgEndpoint,
-    TeamsDeleteDiscussionInOrgRequestOptions
-  ];
-  "DELETE /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number": [
-    TeamsDeleteDiscussionCommentInOrgEndpoint,
-    TeamsDeleteDiscussionCommentInOrgRequestOptions
-  ];
-  "DELETE /orgs/:org/teams/:team_slug/memberships/:username": [
-    TeamsRemoveMembershipInOrgEndpoint,
-    TeamsRemoveMembershipInOrgRequestOptions
-  ];
-  "DELETE /orgs/:org/teams/:team_slug/projects/:project_id": [
-    TeamsRemoveProjectInOrgEndpoint,
-    TeamsRemoveProjectInOrgRequestOptions
-  ];
-  "DELETE /orgs/:org/teams/:team_slug/repos/:owner/:repo": [
-    TeamsRemoveRepoInOrgEndpoint,
-    TeamsRemoveRepoInOrgRequestOptions
-  ];
-  "DELETE /projects/:project_id": [
-    ProjectsDeleteEndpoint,
-    ProjectsDeleteRequestOptions
-  ];
-  "DELETE /projects/:project_id/collaborators/:username": [
-    ProjectsRemoveCollaboratorEndpoint,
-    ProjectsRemoveCollaboratorRequestOptions
-  ];
-  "DELETE /projects/columns/:column_id": [
-    ProjectsDeleteColumnEndpoint,
-    ProjectsDeleteColumnRequestOptions
-  ];
-  "DELETE /projects/columns/cards/:card_id": [
-    ProjectsDeleteCardEndpoint,
-    ProjectsDeleteCardRequestOptions
-  ];
-  "DELETE /reactions/:reaction_id": [
-    ReactionsDeleteEndpoint,
-    ReactionsDeleteRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo": [
-    ReposDeleteEndpoint,
-    ReposDeleteRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/automated-security-fixes": [
-    ReposDisableAutomatedSecurityFixesEndpoint,
-    ReposDisableAutomatedSecurityFixesRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection": [
-    ReposRemoveBranchProtectionEndpoint,
-    ReposRemoveBranchProtectionRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/enforce_admins": [
-    ReposRemoveProtectedBranchAdminEnforcementEndpoint,
-    ReposRemoveProtectedBranchAdminEnforcementRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews": [
-    ReposRemoveProtectedBranchPullRequestReviewEnforcementEndpoint,
-    ReposRemoveProtectedBranchPullRequestReviewEnforcementRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/required_signatures": [
-    ReposRemoveProtectedBranchRequiredSignaturesEndpoint,
-    ReposRemoveProtectedBranchRequiredSignaturesRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/required_status_checks": [
-    ReposRemoveProtectedBranchRequiredStatusChecksEndpoint,
-    ReposRemoveProtectedBranchRequiredStatusChecksRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts": [
-    ReposRemoveProtectedBranchRequiredStatusChecksContextsEndpoint,
-    ReposRemoveProtectedBranchRequiredStatusChecksContextsRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions": [
-    ReposRemoveProtectedBranchRestrictionsEndpoint,
-    ReposRemoveProtectedBranchRestrictionsRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/apps": [
-    ReposRemoveProtectedBranchAppRestrictionsEndpoint,
-    ReposRemoveProtectedBranchAppRestrictionsRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/teams": [
-    ReposRemoveProtectedBranchTeamRestrictionsEndpoint,
-    ReposRemoveProtectedBranchTeamRestrictionsRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/branches/:branch/protection/restrictions/users": [
-    ReposRemoveProtectedBranchUserRestrictionsEndpoint,
-    ReposRemoveProtectedBranchUserRestrictionsRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/collaborators/:username": [
-    ReposRemoveCollaboratorEndpoint,
-    ReposRemoveCollaboratorRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/comments/:comment_id": [
-    ReposDeleteCommitCommentEndpoint,
-    ReposDeleteCommitCommentRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/contents/:path": [
-    ReposDeleteFileEndpoint,
-    ReposDeleteFileRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/downloads/:download_id": [
-    ReposDeleteDownloadEndpoint,
-    ReposDeleteDownloadRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/git/refs/:ref": [
-    GitDeleteRefEndpoint,
-    GitDeleteRefRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/hooks/:hook_id": [
-    ReposDeleteHookEndpoint,
-    ReposDeleteHookRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/import": [
-    MigrationsCancelImportEndpoint,
-    MigrationsCancelImportRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/interaction-limits": [
-    InteractionsRemoveRestrictionsForRepoEndpoint,
-    InteractionsRemoveRestrictionsForRepoRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/invitations/:invitation_id": [
-    ReposDeleteInvitationEndpoint,
-    ReposDeleteInvitationRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/issues/:issue_number/assignees": [
-    IssuesRemoveAssigneesEndpoint,
-    IssuesRemoveAssigneesRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/issues/:issue_number/labels": [
-    IssuesRemoveLabelsEndpoint,
-    IssuesRemoveLabelsRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/issues/:issue_number/labels/:name": [
-    IssuesRemoveLabelEndpoint,
-    IssuesRemoveLabelRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/issues/:issue_number/lock": [
-    IssuesUnlockEndpoint,
-    IssuesUnlockRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/issues/comments/:comment_id": [
-    IssuesDeleteCommentEndpoint,
-    IssuesDeleteCommentRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/keys/:key_id": [
-    ReposRemoveDeployKeyEndpoint,
-    ReposRemoveDeployKeyRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/labels/:name": [
-    IssuesDeleteLabelEndpoint,
-    IssuesDeleteLabelRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/milestones/:milestone_number": [
-    IssuesDeleteMilestoneEndpoint,
-    IssuesDeleteMilestoneRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/pages": [
-    ReposDisablePagesSiteEndpoint,
-    ReposDisablePagesSiteRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/pulls/:pull_number/requested_reviewers": [
-    PullsDeleteReviewRequestEndpoint,
-    PullsDeleteReviewRequestRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id": [
-    PullsDeletePendingReviewEndpoint,
-    PullsDeletePendingReviewRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/pulls/comments/:comment_id": [
-    PullsDeleteCommentEndpoint,
-    PullsDeleteCommentRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/releases/:release_id": [
-    ReposDeleteReleaseEndpoint,
-    ReposDeleteReleaseRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/releases/assets/:asset_id": [
-    ReposDeleteReleaseAssetEndpoint,
-    ReposDeleteReleaseAssetRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/subscription": [
-    ActivityDeleteRepoSubscriptionEndpoint,
-    ActivityDeleteRepoSubscriptionRequestOptions
-  ];
-  "DELETE /repos/:owner/:repo/vulnerability-alerts": [
-    ReposDisableVulnerabilityAlertsEndpoint,
-    ReposDisableVulnerabilityAlertsRequestOptions
-  ];
-  "DELETE /scim/v2/organizations/:org/Users/:scim_user_id": [
-    ScimRemoveUserFromOrgEndpoint,
-    ScimRemoveUserFromOrgRequestOptions
-  ];
-  "DELETE /teams/:team_id": [
-    TeamsDeleteLegacyEndpoint | TeamsDeleteEndpoint,
-    TeamsDeleteLegacyRequestOptions | TeamsDeleteRequestOptions
-  ];
-  "DELETE /teams/:team_id/discussions/:discussion_number": [
-    TeamsDeleteDiscussionLegacyEndpoint | TeamsDeleteDiscussionEndpoint,
-
-      | TeamsDeleteDiscussionLegacyRequestOptions
-      | TeamsDeleteDiscussionRequestOptions
-  ];
-  "DELETE /teams/:team_id/discussions/:discussion_number/comments/:comment_number": [
-
-      | TeamsDeleteDiscussionCommentLegacyEndpoint
-      | TeamsDeleteDiscussionCommentEndpoint,
-
-      | TeamsDeleteDiscussionCommentLegacyRequestOptions
-      | TeamsDeleteDiscussionCommentRequestOptions
-  ];
-  "DELETE /teams/:team_id/members/:username": [
-    TeamsRemoveMemberLegacyEndpoint,
-    TeamsRemoveMemberLegacyRequestOptions
-  ];
-  "DELETE /teams/:team_id/memberships/:username": [
-    TeamsRemoveMembershipLegacyEndpoint,
-    TeamsRemoveMembershipLegacyRequestOptions
-  ];
-  "DELETE /teams/:team_id/projects/:project_id": [
-    TeamsRemoveProjectLegacyEndpoint | TeamsRemoveProjectEndpoint,
-    TeamsRemoveProjectLegacyRequestOptions | TeamsRemoveProjectRequestOptions
-  ];
-  "DELETE /teams/:team_id/repos/:owner/:repo": [
-    TeamsRemoveRepoLegacyEndpoint | TeamsRemoveRepoEndpoint,
-    TeamsRemoveRepoLegacyRequestOptions | TeamsRemoveRepoRequestOptions
-  ];
-  "DELETE /user/blocks/:username": [
-    UsersUnblockEndpoint,
-    UsersUnblockRequestOptions
-  ];
-  "DELETE /user/emails": [
-    UsersDeleteEmailsEndpoint,
-    UsersDeleteEmailsRequestOptions
-  ];
-  "DELETE /user/following/:username": [
-    UsersUnfollowEndpoint,
-    UsersUnfollowRequestOptions
-  ];
-  "DELETE /user/gpg_keys/:gpg_key_id": [
-    UsersDeleteGpgKeyEndpoint,
-    UsersDeleteGpgKeyRequestOptions
-  ];
-  "DELETE /user/installations/:installation_id/repositories/:repository_id": [
-    AppsRemoveRepoFromInstallationEndpoint,
-    AppsRemoveRepoFromInstallationRequestOptions
-  ];
-  "DELETE /user/keys/:key_id": [
-    UsersDeletePublicKeyEndpoint,
-    UsersDeletePublicKeyRequestOptions
-  ];
-  "DELETE /user/migrations/:migration_id/archive": [
-    MigrationsDeleteArchiveForAuthenticatedUserEndpoint,
-    MigrationsDeleteArchiveForAuthenticatedUserRequestOptions
-  ];
-  "DELETE /user/migrations/:migration_id/repos/:repo_name/lock": [
-    MigrationsUnlockRepoForAuthenticatedUserEndpoint,
-    MigrationsUnlockRepoForAuthenticatedUserRequestOptions
-  ];
-  "DELETE /user/repository_invitations/:invitation_id": [
-    ReposDeclineInvitationEndpoint,
-    ReposDeclineInvitationRequestOptions
-  ];
-  "DELETE /user/starred/:owner/:repo": [
-    ActivityUnstarRepoEndpoint,
-    ActivityUnstarRepoRequestOptions
-  ];
-  "DELETE /user/subscriptions/:owner/:repo": [
-    ActivityStopWatchingRepoLegacyEndpoint,
-    ActivityStopWatchingRepoLegacyRequestOptions
-  ];
-  "GET /app": [
-    AppsGetAuthenticatedEndpoint,
-    AppsGetAuthenticatedRequestOptions
-  ];
-  "GET /app/installations": [
-    AppsListInstallationsEndpoint,
-    AppsListInstallationsRequestOptions
-  ];
-  "GET /app/installations/:installation_id": [
-    AppsGetInstallationEndpoint,
-    AppsGetInstallationRequestOptions
-  ];
-  "GET /applications/:client_id/tokens/:access_token": [
-
-      | AppsCheckAuthorizationEndpoint
-      | OauthAuthorizationsCheckAuthorizationEndpoint,
-
-      | AppsCheckAuthorizationRequestOptions
-      | OauthAuthorizationsCheckAuthorizationRequestOptions
-  ];
-  "GET /applications/grants": [
-    OauthAuthorizationsListGrantsEndpoint,
-    OauthAuthorizationsListGrantsRequestOptions
-  ];
-  "GET /applications/grants/:grant_id": [
-    OauthAuthorizationsGetGrantEndpoint,
-    OauthAuthorizationsGetGrantRequestOptions
-  ];
-  "GET /apps/:app_slug": [AppsGetBySlugEndpoint, AppsGetBySlugRequestOptions];
-  "GET /authorizations": [
-    OauthAuthorizationsListAuthorizationsEndpoint,
-    OauthAuthorizationsListAuthorizationsRequestOptions
-  ];
-  "GET /authorizations/:authorization_id": [
-    OauthAuthorizationsGetAuthorizationEndpoint,
-    OauthAuthorizationsGetAuthorizationRequestOptions
-  ];
-  "GET /codes_of_conduct": [
-    CodesOfConductListConductCodesEndpoint,
-    CodesOfConductListConductCodesRequestOptions
-  ];
-  "GET /codes_of_conduct/:key": [
-    CodesOfConductGetConductCodeEndpoint,
-    CodesOfConductGetConductCodeRequestOptions
-  ];
-  "GET /emojis": [EmojisGetEndpoint, EmojisGetRequestOptions];
-  "GET /events": [
-    ActivityListPublicEventsEndpoint,
-    ActivityListPublicEventsRequestOptions
-  ];
-  "GET /feeds": [ActivityListFeedsEndpoint, ActivityListFeedsRequestOptions];
-  "GET /gists": [GistsListEndpoint, GistsListRequestOptions];
-  "GET /gists/:gist_id": [GistsGetEndpoint, GistsGetRequestOptions];
-  "GET /gists/:gist_id/:sha": [
-    GistsGetRevisionEndpoint,
-    GistsGetRevisionRequestOptions
-  ];
-  "GET /gists/:gist_id/comments": [
-    GistsListCommentsEndpoint,
-    GistsListCommentsRequestOptions
-  ];
-  "GET /gists/:gist_id/comments/:comment_id": [
-    GistsGetCommentEndpoint,
-    GistsGetCommentRequestOptions
-  ];
-  "GET /gists/:gist_id/commits": [
-    GistsListCommitsEndpoint,
-    GistsListCommitsRequestOptions
-  ];
-  "GET /gists/:gist_id/forks": [
-    GistsListForksEndpoint,
-    GistsListForksRequestOptions
-  ];
-  "GET /gists/:gist_id/star": [
-    GistsCheckIsStarredEndpoint,
-    GistsCheckIsStarredRequestOptions
-  ];
-  "GET /gists/public": [GistsListPublicEndpoint, GistsListPublicRequestOptions];
-  "GET /gists/starred": [
-    GistsListStarredEndpoint,
-    GistsListStarredRequestOptions
-  ];
-  "GET /gitignore/templates": [
-    GitignoreListTemplatesEndpoint,
-    GitignoreListTemplatesRequestOptions
-  ];
-  "GET /gitignore/templates/:name": [
-    GitignoreGetTemplateEndpoint,
-    GitignoreGetTemplateRequestOptions
-  ];
-  "GET /installation/repositories": [
-    AppsListReposEndpoint,
-    AppsListReposRequestOptions
-  ];
-  "GET /issues": [IssuesListEndpoint, IssuesListRequestOptions];
-  "GET /legacy/issues/search/:owner/:repository/:state/:keyword": [
-    SearchIssuesLegacyEndpoint,
-    SearchIssuesLegacyRequestOptions
-  ];
-  "GET /legacy/repos/search/:keyword": [
-    SearchReposLegacyEndpoint,
-    SearchReposLegacyRequestOptions
-  ];
-  "GET /legacy/user/email/:email": [
-    SearchEmailLegacyEndpoint,
-    SearchEmailLegacyRequestOptions
-  ];
-  "GET /legacy/user/search/:keyword": [
-    SearchUsersLegacyEndpoint,
-    SearchUsersLegacyRequestOptions
-  ];
-  "GET /licenses": [
-    LicensesListCommonlyUsedEndpoint | LicensesListEndpoint,
-    LicensesListCommonlyUsedRequestOptions | LicensesListRequestOptions
-  ];
-  "GET /licenses/:license": [LicensesGetEndpoint, LicensesGetRequestOptions];
-  "GET /marketplace_listing/accounts/:account_id": [
-    AppsCheckAccountIsAssociatedWithAnyEndpoint,
-    AppsCheckAccountIsAssociatedWithAnyRequestOptions
-  ];
-  "GET /marketplace_listing/plans": [
-    AppsListPlansEndpoint,
-    AppsListPlansRequestOptions
-  ];
-  "GET /marketplace_listing/plans/:plan_id/accounts": [
-    AppsListAccountsUserOrOrgOnPlanEndpoint,
-    AppsListAccountsUserOrOrgOnPlanRequestOptions
-  ];
-  "GET /marketplace_listing/stubbed/accounts/:account_id": [
-    AppsCheckAccountIsAssociatedWithAnyStubbedEndpoint,
-    AppsCheckAccountIsAssociatedWithAnyStubbedRequestOptions
-  ];
-  "GET /marketplace_listing/stubbed/plans": [
-    AppsListPlansStubbedEndpoint,
-    AppsListPlansStubbedRequestOptions
-  ];
-  "GET /marketplace_listing/stubbed/plans/:plan_id/accounts": [
-    AppsListAccountsUserOrOrgOnPlanStubbedEndpoint,
-    AppsListAccountsUserOrOrgOnPlanStubbedRequestOptions
-  ];
-  "GET /meta": [MetaGetEndpoint, MetaGetRequestOptions];
-  "GET /networks/:owner/:repo/events": [
-    ActivityListPublicEventsForRepoNetworkEndpoint,
-    ActivityListPublicEventsForRepoNetworkRequestOptions
-  ];
-  "GET /notifications": [
-    ActivityListNotificationsEndpoint,
-    ActivityListNotificationsRequestOptions
-  ];
-  "GET /notifications/threads/:thread_id": [
-    ActivityGetThreadEndpoint,
-    ActivityGetThreadRequestOptions
-  ];
-  "GET /notifications/threads/:thread_id/subscription": [
-    ActivityGetThreadSubscriptionEndpoint,
-    ActivityGetThreadSubscriptionRequestOptions
-  ];
-  "GET /organizations": [OrgsListEndpoint, OrgsListRequestOptions];
-  "GET /orgs/:org": [OrgsGetEndpoint, OrgsGetRequestOptions];
-  "GET /orgs/:org/blocks": [
-    OrgsListBlockedUsersEndpoint,
-    OrgsListBlockedUsersRequestOptions
-  ];
-  "GET /orgs/:org/blocks/:username": [
-    OrgsCheckBlockedUserEndpoint,
-    OrgsCheckBlockedUserRequestOptions
-  ];
-  "GET /orgs/:org/credential-authorizations": [
-    OrgsListCredentialAuthorizationsEndpoint,
-    OrgsListCredentialAuthorizationsRequestOptions
-  ];
-  "GET /orgs/:org/events": [
-    ActivityListPublicEventsForOrgEndpoint,
-    ActivityListPublicEventsForOrgRequestOptions
-  ];
-  "GET /orgs/:org/hooks": [OrgsListHooksEndpoint, OrgsListHooksRequestOptions];
-  "GET /orgs/:org/hooks/:hook_id": [
-    OrgsGetHookEndpoint,
-    OrgsGetHookRequestOptions
-  ];
-  "GET /orgs/:org/installation": [
-    AppsGetOrgInstallationEndpoint | AppsFindOrgInstallationEndpoint,
-    AppsGetOrgInstallationRequestOptions | AppsFindOrgInstallationRequestOptions
-  ];
-  "GET /orgs/:org/installations": [
-    OrgsListInstallationsEndpoint,
-    OrgsListInstallationsRequestOptions
-  ];
-  "GET /orgs/:org/interaction-limits": [
-    InteractionsGetRestrictionsForOrgEndpoint,
-    InteractionsGetRestrictionsForOrgRequestOptions
-  ];
-  "GET /orgs/:org/invitations": [
-    OrgsListPendingInvitationsEndpoint,
-    OrgsListPendingInvitationsRequestOptions
-  ];
-  "GET /orgs/:org/invitations/:invitation_id/teams": [
-    OrgsListInvitationTeamsEndpoint,
-    OrgsListInvitationTeamsRequestOptions
-  ];
-  "GET /orgs/:org/issues": [
-    IssuesListForOrgEndpoint,
-    IssuesListForOrgRequestOptions
-  ];
-  "GET /orgs/:org/members": [
-    OrgsListMembersEndpoint,
-    OrgsListMembersRequestOptions
-  ];
-  "GET /orgs/:org/members/:username": [
-    OrgsCheckMembershipEndpoint,
-    OrgsCheckMembershipRequestOptions
-  ];
-  "GET /orgs/:org/memberships/:username": [
-    OrgsGetMembershipEndpoint,
-    OrgsGetMembershipRequestOptions
-  ];
-  "GET /orgs/:org/migrations": [
-    MigrationsListForOrgEndpoint,
-    MigrationsListForOrgRequestOptions
-  ];
-  "GET /orgs/:org/migrations/:migration_id": [
-    MigrationsGetStatusForOrgEndpoint,
-    MigrationsGetStatusForOrgRequestOptions
-  ];
-  "GET /orgs/:org/migrations/:migration_id/archive": [
-    MigrationsGetArchiveForOrgEndpoint,
-    MigrationsGetArchiveForOrgRequestOptions
-  ];
-  "GET /orgs/:org/migrations/:migration_id/repositories": [
-    MigrationsListReposForOrgEndpoint,
-    MigrationsListReposForOrgRequestOptions
-  ];
-  "GET /orgs/:org/outside_collaborators": [
-    OrgsListOutsideCollaboratorsEndpoint,
-    OrgsListOutsideCollaboratorsRequestOptions
-  ];
-  "GET /orgs/:org/projects": [
-    ProjectsListForOrgEndpoint,
-    ProjectsListForOrgRequestOptions
-  ];
-  "GET /orgs/:org/public_members": [
-    OrgsListPublicMembersEndpoint,
-    OrgsListPublicMembersRequestOptions
-  ];
-  "GET /orgs/:org/public_members/:username": [
-    OrgsCheckPublicMembershipEndpoint,
-    OrgsCheckPublicMembershipRequestOptions
-  ];
-  "GET /orgs/:org/repos": [
-    ReposListForOrgEndpoint,
-    ReposListForOrgRequestOptions
-  ];
-  "GET /orgs/:org/team-sync/groups": [
-    TeamsListIdPGroupsForOrgEndpoint,
-    TeamsListIdPGroupsForOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams": [TeamsListEndpoint, TeamsListRequestOptions];
-  "GET /orgs/:org/teams/:team_slug": [
-    TeamsGetByNameEndpoint,
-    TeamsGetByNameRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/discussions": [
-    TeamsListDiscussionsInOrgEndpoint,
-    TeamsListDiscussionsInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number": [
-    TeamsGetDiscussionInOrgEndpoint,
-    TeamsGetDiscussionInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments": [
-    TeamsListDiscussionCommentsInOrgEndpoint,
-    TeamsListDiscussionCommentsInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number": [
-    TeamsGetDiscussionCommentInOrgEndpoint,
-    TeamsGetDiscussionCommentInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions": [
-    ReactionsListForTeamDiscussionCommentInOrgEndpoint,
-    ReactionsListForTeamDiscussionCommentInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions": [
-    ReactionsListForTeamDiscussionInOrgEndpoint,
-    ReactionsListForTeamDiscussionInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/invitations": [
-    TeamsListPendingInvitationsInOrgEndpoint,
-    TeamsListPendingInvitationsInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/members": [
-    TeamsListMembersInOrgEndpoint,
-    TeamsListMembersInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/memberships/:username": [
-    TeamsGetMembershipInOrgEndpoint,
-    TeamsGetMembershipInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/projects": [
-    TeamsListProjectsInOrgEndpoint,
-    TeamsListProjectsInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/projects/:project_id": [
-    TeamsReviewProjectInOrgEndpoint,
-    TeamsReviewProjectInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/repos": [
-    TeamsListReposInOrgEndpoint,
-    TeamsListReposInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/repos/:owner/:repo": [
-    TeamsCheckManagesRepoInOrgEndpoint,
-    TeamsCheckManagesRepoInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/team-sync/group-mappings": [
-    TeamsListIdPGroupsInOrgEndpoint,
-    TeamsListIdPGroupsInOrgRequestOptions
-  ];
-  "GET /orgs/:org/teams/:team_slug/teams": [
-    TeamsListChildInOrgEndpoint,
-    TeamsListChildInOrgRequestOptions
-  ];
-  "GET /projects/:project_id": [ProjectsGetEndpoint, ProjectsGetRequestOptions];
-  "GET /projects/:project_id/collaborators": [
-    ProjectsListCollaboratorsEndpoint,
-    ProjectsListCollaboratorsRequestOptions
-  ];
-  "GET /projects/:project_id/collaborators/:username/permission": [
-    ProjectsReviewUserPermissionLevelEndpoint,
-    ProjectsReviewUserPermissionLevelRequestOptions
-  ];
-  "GET /projects/:project_id/columns": [
-    ProjectsListColumnsEndpoint,
-    ProjectsListColumnsRequestOptions
-  ];
-  "GET /projects/columns/:column_id": [
-    ProjectsGetColumnEndpoint,
-    ProjectsGetColumnRequestOptions
-  ];
-  "GET /projects/columns/:column_id/cards": [
-    ProjectsListCardsEndpoint,
-    ProjectsListCardsRequestOptions
-  ];
-  "GET /projects/columns/cards/:card_id": [
-    ProjectsGetCardEndpoint,
-    ProjectsGetCardRequestOptions
-  ];
-  "GET /rate_limit": [RateLimitGetEndpoint, RateLimitGetRequestOptions];
-  "GET /repos/:owner/:repo": [ReposGetEndpoint, ReposGetRequestOptions];
-  "GET /repos/:owner/:repo/:archive_format/:ref": [
-    ReposGetArchiveLinkEndpoint,
-    ReposGetArchiveLinkRequestOptions
-  ];
-  "GET /repos/:owner/:repo/assignees": [
-    IssuesListAssigneesEndpoint,
-    IssuesListAssigneesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/assignees/:assignee": [
-    IssuesCheckAssigneeEndpoint,
-    IssuesCheckAssigneeRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches": [
-    ReposListBranchesEndpoint,
-    ReposListBranchesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch": [
-    ReposGetBranchEndpoint,
-    ReposGetBranchRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection": [
-    ReposGetBranchProtectionEndpoint,
-    ReposGetBranchProtectionRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/enforce_admins": [
-    ReposGetProtectedBranchAdminEnforcementEndpoint,
-    ReposGetProtectedBranchAdminEnforcementRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews": [
-    ReposGetProtectedBranchPullRequestReviewEnforcementEndpoint,
-    ReposGetProtectedBranchPullRequestReviewEnforcementRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/required_signatures": [
-    ReposGetProtectedBranchRequiredSignaturesEndpoint,
-    ReposGetProtectedBranchRequiredSignaturesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/required_status_checks": [
-    ReposGetProtectedBranchRequiredStatusChecksEndpoint,
-    ReposGetProtectedBranchRequiredStatusChecksRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts": [
-    ReposListProtectedBranchRequiredStatusChecksContextsEndpoint,
-    ReposListProtectedBranchRequiredStatusChecksContextsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/restrictions": [
-    ReposGetProtectedBranchRestrictionsEndpoint,
-    ReposGetProtectedBranchRestrictionsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/restrictions/apps": [
-
-      | ReposGetAppsWithAccessToProtectedBranchEndpoint
-      | ReposListAppsWithAccessToProtectedBranchEndpoint,
-
-      | ReposGetAppsWithAccessToProtectedBranchRequestOptions
-      | ReposListAppsWithAccessToProtectedBranchRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/restrictions/teams": [
-
-      | ReposGetTeamsWithAccessToProtectedBranchEndpoint
-      | ReposListProtectedBranchTeamRestrictionsEndpoint
-      | ReposListTeamsWithAccessToProtectedBranchEndpoint,
-
-      | ReposGetTeamsWithAccessToProtectedBranchRequestOptions
-      | ReposListProtectedBranchTeamRestrictionsRequestOptions
-      | ReposListTeamsWithAccessToProtectedBranchRequestOptions
-  ];
-  "GET /repos/:owner/:repo/branches/:branch/protection/restrictions/users": [
-
-      | ReposGetUsersWithAccessToProtectedBranchEndpoint
-      | ReposListProtectedBranchUserRestrictionsEndpoint
-      | ReposListUsersWithAccessToProtectedBranchEndpoint,
-
-      | ReposGetUsersWithAccessToProtectedBranchRequestOptions
-      | ReposListProtectedBranchUserRestrictionsRequestOptions
-      | ReposListUsersWithAccessToProtectedBranchRequestOptions
-  ];
-  "GET /repos/:owner/:repo/check-runs/:check_run_id": [
-    ChecksGetEndpoint,
-    ChecksGetRequestOptions
-  ];
-  "GET /repos/:owner/:repo/check-runs/:check_run_id/annotations": [
-    ChecksListAnnotationsEndpoint,
-    ChecksListAnnotationsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/check-suites/:check_suite_id": [
-    ChecksGetSuiteEndpoint,
-    ChecksGetSuiteRequestOptions
-  ];
-  "GET /repos/:owner/:repo/check-suites/:check_suite_id/check-runs": [
-    ChecksListForSuiteEndpoint,
-    ChecksListForSuiteRequestOptions
-  ];
-  "GET /repos/:owner/:repo/collaborators": [
-    ReposListCollaboratorsEndpoint,
-    ReposListCollaboratorsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/collaborators/:username": [
-    ReposCheckCollaboratorEndpoint,
-    ReposCheckCollaboratorRequestOptions
-  ];
-  "GET /repos/:owner/:repo/collaborators/:username/permission": [
-    ReposGetCollaboratorPermissionLevelEndpoint,
-    ReposGetCollaboratorPermissionLevelRequestOptions
-  ];
-  "GET /repos/:owner/:repo/comments": [
-    ReposListCommitCommentsEndpoint,
-    ReposListCommitCommentsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/comments/:comment_id": [
-    ReposGetCommitCommentEndpoint,
-    ReposGetCommitCommentRequestOptions
-  ];
-  "GET /repos/:owner/:repo/comments/:comment_id/reactions": [
-    ReactionsListForCommitCommentEndpoint,
-    ReactionsListForCommitCommentRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits": [
-    ReposListCommitsEndpoint,
-    ReposListCommitsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits/:commit_sha/branches-where-head": [
-    ReposListBranchesForHeadCommitEndpoint,
-    ReposListBranchesForHeadCommitRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits/:commit_sha/comments": [
-    ReposListCommentsForCommitEndpoint,
-    ReposListCommentsForCommitRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits/:commit_sha/pulls": [
-    ReposListPullRequestsAssociatedWithCommitEndpoint,
-    ReposListPullRequestsAssociatedWithCommitRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits/:ref": [
-    ReposGetCommitEndpoint,
-    ReposGetCommitRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits/:ref/check-runs": [
-    ChecksListForRefEndpoint,
-    ChecksListForRefRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits/:ref/check-suites": [
-    ChecksListSuitesForRefEndpoint,
-    ChecksListSuitesForRefRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits/:ref/status": [
-    ReposGetCombinedStatusForRefEndpoint,
-    ReposGetCombinedStatusForRefRequestOptions
-  ];
-  "GET /repos/:owner/:repo/commits/:ref/statuses": [
-    ReposListStatusesForRefEndpoint,
-    ReposListStatusesForRefRequestOptions
-  ];
-  "GET /repos/:owner/:repo/community/code_of_conduct": [
-    CodesOfConductGetForRepoEndpoint,
-    CodesOfConductGetForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/community/profile": [
-    ReposRetrieveCommunityProfileMetricsEndpoint,
-    ReposRetrieveCommunityProfileMetricsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/compare/:base...:head": [
-    ReposCompareCommitsEndpoint,
-    ReposCompareCommitsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/contents/:path": [
-    ReposGetContentsEndpoint,
-    ReposGetContentsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/contributors": [
-    ReposListContributorsEndpoint,
-    ReposListContributorsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/deployments": [
-    ReposListDeploymentsEndpoint,
-    ReposListDeploymentsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/deployments/:deployment_id": [
-    ReposGetDeploymentEndpoint,
-    ReposGetDeploymentRequestOptions
-  ];
-  "GET /repos/:owner/:repo/deployments/:deployment_id/statuses": [
-    ReposListDeploymentStatusesEndpoint,
-    ReposListDeploymentStatusesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/deployments/:deployment_id/statuses/:status_id": [
-    ReposGetDeploymentStatusEndpoint,
-    ReposGetDeploymentStatusRequestOptions
-  ];
-  "GET /repos/:owner/:repo/downloads": [
-    ReposListDownloadsEndpoint,
-    ReposListDownloadsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/downloads/:download_id": [
-    ReposGetDownloadEndpoint,
-    ReposGetDownloadRequestOptions
-  ];
-  "GET /repos/:owner/:repo/events": [
-    ActivityListRepoEventsEndpoint,
-    ActivityListRepoEventsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/forks": [
-    ReposListForksEndpoint,
-    ReposListForksRequestOptions
-  ];
-  "GET /repos/:owner/:repo/git/blobs/:file_sha": [
-    GitGetBlobEndpoint,
-    GitGetBlobRequestOptions
-  ];
-  "GET /repos/:owner/:repo/git/commits/:commit_sha": [
-    GitGetCommitEndpoint,
-    GitGetCommitRequestOptions
-  ];
-  "GET /repos/:owner/:repo/git/matching-refs/:ref": [
-    GitListMatchingRefsEndpoint,
-    GitListMatchingRefsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/git/ref/:ref": [
-    GitGetRefEndpoint,
-    GitGetRefRequestOptions
-  ];
-  "GET /repos/:owner/:repo/git/tags/:tag_sha": [
-    GitGetTagEndpoint,
-    GitGetTagRequestOptions
-  ];
-  "GET /repos/:owner/:repo/git/trees/:tree_sha": [
-    GitGetTreeEndpoint,
-    GitGetTreeRequestOptions
-  ];
-  "GET /repos/:owner/:repo/hooks": [
-    ReposListHooksEndpoint,
-    ReposListHooksRequestOptions
-  ];
-  "GET /repos/:owner/:repo/hooks/:hook_id": [
-    ReposGetHookEndpoint,
-    ReposGetHookRequestOptions
-  ];
-  "GET /repos/:owner/:repo/import": [
-    MigrationsGetImportProgressEndpoint,
-    MigrationsGetImportProgressRequestOptions
-  ];
-  "GET /repos/:owner/:repo/import/authors": [
-    MigrationsGetCommitAuthorsEndpoint,
-    MigrationsGetCommitAuthorsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/import/large_files": [
-    MigrationsGetLargeFilesEndpoint,
-    MigrationsGetLargeFilesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/installation": [
-    AppsGetRepoInstallationEndpoint | AppsFindRepoInstallationEndpoint,
-
-      | AppsGetRepoInstallationRequestOptions
-      | AppsFindRepoInstallationRequestOptions
-  ];
-  "GET /repos/:owner/:repo/interaction-limits": [
-    InteractionsGetRestrictionsForRepoEndpoint,
-    InteractionsGetRestrictionsForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/invitations": [
-    ReposListInvitationsEndpoint,
-    ReposListInvitationsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues": [
-    IssuesListForRepoEndpoint,
-    IssuesListForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/:issue_number": [
-    IssuesGetEndpoint,
-    IssuesGetRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/:issue_number/comments": [
-    IssuesListCommentsEndpoint,
-    IssuesListCommentsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/:issue_number/events": [
-    IssuesListEventsEndpoint,
-    IssuesListEventsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/:issue_number/labels": [
-    IssuesListLabelsOnIssueEndpoint,
-    IssuesListLabelsOnIssueRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/:issue_number/reactions": [
-    ReactionsListForIssueEndpoint,
-    ReactionsListForIssueRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/:issue_number/timeline": [
-    IssuesListEventsForTimelineEndpoint,
-    IssuesListEventsForTimelineRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/comments": [
-    IssuesListCommentsForRepoEndpoint,
-    IssuesListCommentsForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/comments/:comment_id": [
-    IssuesGetCommentEndpoint,
-    IssuesGetCommentRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/comments/:comment_id/reactions": [
-    ReactionsListForIssueCommentEndpoint,
-    ReactionsListForIssueCommentRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/events": [
-    IssuesListEventsForRepoEndpoint,
-    IssuesListEventsForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/issues/events/:event_id": [
-    IssuesGetEventEndpoint,
-    IssuesGetEventRequestOptions
-  ];
-  "GET /repos/:owner/:repo/keys": [
-    ReposListDeployKeysEndpoint,
-    ReposListDeployKeysRequestOptions
-  ];
-  "GET /repos/:owner/:repo/keys/:key_id": [
-    ReposGetDeployKeyEndpoint,
-    ReposGetDeployKeyRequestOptions
-  ];
-  "GET /repos/:owner/:repo/labels": [
-    IssuesListLabelsForRepoEndpoint,
-    IssuesListLabelsForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/labels/:name": [
-    IssuesGetLabelEndpoint,
-    IssuesGetLabelRequestOptions
-  ];
-  "GET /repos/:owner/:repo/languages": [
-    ReposListLanguagesEndpoint,
-    ReposListLanguagesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/license": [
-    LicensesGetForRepoEndpoint,
-    LicensesGetForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/milestones": [
-    IssuesListMilestonesForRepoEndpoint,
-    IssuesListMilestonesForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/milestones/:milestone_number": [
-    IssuesGetMilestoneEndpoint,
-    IssuesGetMilestoneRequestOptions
-  ];
-  "GET /repos/:owner/:repo/milestones/:milestone_number/labels": [
-    IssuesListLabelsForMilestoneEndpoint,
-    IssuesListLabelsForMilestoneRequestOptions
-  ];
-  "GET /repos/:owner/:repo/notifications": [
-    ActivityListNotificationsForRepoEndpoint,
-    ActivityListNotificationsForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pages": [
-    ReposGetPagesEndpoint,
-    ReposGetPagesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pages/builds": [
-    ReposListPagesBuildsEndpoint,
-    ReposListPagesBuildsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pages/builds/:build_id": [
-    ReposGetPagesBuildEndpoint,
-    ReposGetPagesBuildRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pages/builds/latest": [
-    ReposGetLatestPagesBuildEndpoint,
-    ReposGetLatestPagesBuildRequestOptions
-  ];
-  "GET /repos/:owner/:repo/projects": [
-    ProjectsListForRepoEndpoint,
-    ProjectsListForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls": [PullsListEndpoint, PullsListRequestOptions];
-  "GET /repos/:owner/:repo/pulls/:pull_number": [
-    PullsGetEndpoint,
-    PullsGetRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/:pull_number/comments": [
-    PullsListCommentsEndpoint,
-    PullsListCommentsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/:pull_number/commits": [
-    PullsListCommitsEndpoint,
-    PullsListCommitsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/:pull_number/files": [
-    PullsListFilesEndpoint,
-    PullsListFilesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/:pull_number/merge": [
-    PullsCheckIfMergedEndpoint,
-    PullsCheckIfMergedRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/:pull_number/requested_reviewers": [
-    PullsListReviewRequestsEndpoint,
-    PullsListReviewRequestsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/:pull_number/reviews": [
-    PullsListReviewsEndpoint,
-    PullsListReviewsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id": [
-    PullsGetReviewEndpoint,
-    PullsGetReviewRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/comments": [
-    PullsGetCommentsForReviewEndpoint,
-    PullsGetCommentsForReviewRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/comments": [
-    PullsListCommentsForRepoEndpoint,
-    PullsListCommentsForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/comments/:comment_id": [
-    PullsGetCommentEndpoint,
-    PullsGetCommentRequestOptions
-  ];
-  "GET /repos/:owner/:repo/pulls/comments/:comment_id/reactions": [
-    ReactionsListForPullRequestReviewCommentEndpoint,
-    ReactionsListForPullRequestReviewCommentRequestOptions
-  ];
-  "GET /repos/:owner/:repo/readme": [
-    ReposGetReadmeEndpoint,
-    ReposGetReadmeRequestOptions
-  ];
-  "GET /repos/:owner/:repo/releases": [
-    ReposListReleasesEndpoint,
-    ReposListReleasesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/releases/:release_id": [
-    ReposGetReleaseEndpoint,
-    ReposGetReleaseRequestOptions
-  ];
-  "GET /repos/:owner/:repo/releases/:release_id/assets": [
-    ReposListAssetsForReleaseEndpoint,
-    ReposListAssetsForReleaseRequestOptions
-  ];
-  "GET /repos/:owner/:repo/releases/assets/:asset_id": [
-    ReposGetReleaseAssetEndpoint,
-    ReposGetReleaseAssetRequestOptions
-  ];
-  "GET /repos/:owner/:repo/releases/latest": [
-    ReposGetLatestReleaseEndpoint,
-    ReposGetLatestReleaseRequestOptions
-  ];
-  "GET /repos/:owner/:repo/releases/tags/:tag": [
-    ReposGetReleaseByTagEndpoint,
-    ReposGetReleaseByTagRequestOptions
-  ];
-  "GET /repos/:owner/:repo/stargazers": [
-    ActivityListStargazersForRepoEndpoint,
-    ActivityListStargazersForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/stats/code_frequency": [
-    ReposGetCodeFrequencyStatsEndpoint,
-    ReposGetCodeFrequencyStatsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/stats/commit_activity": [
-    ReposGetCommitActivityStatsEndpoint,
-    ReposGetCommitActivityStatsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/stats/contributors": [
-    ReposGetContributorsStatsEndpoint,
-    ReposGetContributorsStatsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/stats/participation": [
-    ReposGetParticipationStatsEndpoint,
-    ReposGetParticipationStatsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/stats/punch_card": [
-    ReposGetPunchCardStatsEndpoint,
-    ReposGetPunchCardStatsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/subscribers": [
-    ActivityListWatchersForRepoEndpoint,
-    ActivityListWatchersForRepoRequestOptions
-  ];
-  "GET /repos/:owner/:repo/subscription": [
-    ActivityGetRepoSubscriptionEndpoint,
-    ActivityGetRepoSubscriptionRequestOptions
-  ];
-  "GET /repos/:owner/:repo/tags": [
-    ReposListTagsEndpoint,
-    ReposListTagsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/teams": [
-    ReposListTeamsEndpoint,
-    ReposListTeamsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/topics": [
-    ReposListTopicsEndpoint,
-    ReposListTopicsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/traffic/clones": [
-    ReposGetClonesEndpoint,
-    ReposGetClonesRequestOptions
-  ];
-  "GET /repos/:owner/:repo/traffic/popular/paths": [
-    ReposGetTopPathsEndpoint,
-    ReposGetTopPathsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/traffic/popular/referrers": [
-    ReposGetTopReferrersEndpoint,
-    ReposGetTopReferrersRequestOptions
-  ];
-  "GET /repos/:owner/:repo/traffic/views": [
-    ReposGetViewsEndpoint,
-    ReposGetViewsRequestOptions
-  ];
-  "GET /repos/:owner/:repo/vulnerability-alerts": [
-    ReposCheckVulnerabilityAlertsEndpoint,
-    ReposCheckVulnerabilityAlertsRequestOptions
-  ];
-  "GET /repositories": [ReposListPublicEndpoint, ReposListPublicRequestOptions];
-  "GET /scim/v2/organizations/:org/Users": [
-    ScimListProvisionedIdentitiesEndpoint,
-    ScimListProvisionedIdentitiesRequestOptions
-  ];
-  "GET /scim/v2/organizations/:org/Users/:scim_user_id": [
-    ScimGetProvisioningDetailsForUserEndpoint,
-    ScimGetProvisioningDetailsForUserRequestOptions
-  ];
-  "GET /search/code": [SearchCodeEndpoint, SearchCodeRequestOptions];
-  "GET /search/commits": [SearchCommitsEndpoint, SearchCommitsRequestOptions];
-  "GET /search/issues": [
-    SearchIssuesAndPullRequestsEndpoint | SearchIssuesEndpoint,
-    SearchIssuesAndPullRequestsRequestOptions | SearchIssuesRequestOptions
-  ];
-  "GET /search/labels": [SearchLabelsEndpoint, SearchLabelsRequestOptions];
-  "GET /search/repositories": [SearchReposEndpoint, SearchReposRequestOptions];
-  "GET /search/topics": [SearchTopicsEndpoint, SearchTopicsRequestOptions];
-  "GET /search/users": [SearchUsersEndpoint, SearchUsersRequestOptions];
-  "GET /teams/:team_id": [
-    TeamsGetLegacyEndpoint | TeamsGetEndpoint,
-    TeamsGetLegacyRequestOptions | TeamsGetRequestOptions
-  ];
-  "GET /teams/:team_id/discussions": [
-    TeamsListDiscussionsLegacyEndpoint | TeamsListDiscussionsEndpoint,
-
-      | TeamsListDiscussionsLegacyRequestOptions
-      | TeamsListDiscussionsRequestOptions
-  ];
-  "GET /teams/:team_id/discussions/:discussion_number": [
-    TeamsGetDiscussionLegacyEndpoint | TeamsGetDiscussionEndpoint,
-    TeamsGetDiscussionLegacyRequestOptions | TeamsGetDiscussionRequestOptions
-  ];
-  "GET /teams/:team_id/discussions/:discussion_number/comments": [
-
-      | TeamsListDiscussionCommentsLegacyEndpoint
-      | TeamsListDiscussionCommentsEndpoint,
-
-      | TeamsListDiscussionCommentsLegacyRequestOptions
-      | TeamsListDiscussionCommentsRequestOptions
-  ];
-  "GET /teams/:team_id/discussions/:discussion_number/comments/:comment_number": [
-    TeamsGetDiscussionCommentLegacyEndpoint | TeamsGetDiscussionCommentEndpoint,
-
-      | TeamsGetDiscussionCommentLegacyRequestOptions
-      | TeamsGetDiscussionCommentRequestOptions
-  ];
-  "GET /teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions": [
-
-      | ReactionsListForTeamDiscussionCommentLegacyEndpoint
-      | ReactionsListForTeamDiscussionCommentEndpoint,
-
-      | ReactionsListForTeamDiscussionCommentLegacyRequestOptions
-      | ReactionsListForTeamDiscussionCommentRequestOptions
-  ];
-  "GET /teams/:team_id/discussions/:discussion_number/reactions": [
-
-      | ReactionsListForTeamDiscussionLegacyEndpoint
-      | ReactionsListForTeamDiscussionEndpoint,
-
-      | ReactionsListForTeamDiscussionLegacyRequestOptions
-      | ReactionsListForTeamDiscussionRequestOptions
-  ];
-  "GET /teams/:team_id/invitations": [
-
-      | TeamsListPendingInvitationsLegacyEndpoint
-      | TeamsListPendingInvitationsEndpoint,
-
-      | TeamsListPendingInvitationsLegacyRequestOptions
-      | TeamsListPendingInvitationsRequestOptions
-  ];
-  "GET /teams/:team_id/members": [
-    TeamsListMembersLegacyEndpoint | TeamsListMembersEndpoint,
-    TeamsListMembersLegacyRequestOptions | TeamsListMembersRequestOptions
-  ];
-  "GET /teams/:team_id/members/:username": [
-    TeamsGetMemberLegacyEndpoint | TeamsGetMemberEndpoint,
-    TeamsGetMemberLegacyRequestOptions | TeamsGetMemberRequestOptions
-  ];
-  "GET /teams/:team_id/memberships/:username": [
-    TeamsGetMembershipLegacyEndpoint | TeamsGetMembershipEndpoint,
-    TeamsGetMembershipLegacyRequestOptions | TeamsGetMembershipRequestOptions
-  ];
-  "GET /teams/:team_id/projects": [
-    TeamsListProjectsLegacyEndpoint | TeamsListProjectsEndpoint,
-    TeamsListProjectsLegacyRequestOptions | TeamsListProjectsRequestOptions
-  ];
-  "GET /teams/:team_id/projects/:project_id": [
-    TeamsReviewProjectLegacyEndpoint | TeamsReviewProjectEndpoint,
-    TeamsReviewProjectLegacyRequestOptions | TeamsReviewProjectRequestOptions
-  ];
-  "GET /teams/:team_id/repos": [
-    TeamsListReposLegacyEndpoint | TeamsListReposEndpoint,
-    TeamsListReposLegacyRequestOptions | TeamsListReposRequestOptions
-  ];
-  "GET /teams/:team_id/repos/:owner/:repo": [
-    TeamsCheckManagesRepoLegacyEndpoint | TeamsCheckManagesRepoEndpoint,
-
-      | TeamsCheckManagesRepoLegacyRequestOptions
-      | TeamsCheckManagesRepoRequestOptions
-  ];
-  "GET /teams/:team_id/team-sync/group-mappings": [
-    TeamsListIdPGroupsForLegacyEndpoint | TeamsListIdPGroupsForEndpoint,
-
-      | TeamsListIdPGroupsForLegacyRequestOptions
-      | TeamsListIdPGroupsForRequestOptions
-  ];
-  "GET /teams/:team_id/teams": [
-    TeamsListChildLegacyEndpoint | TeamsListChildEndpoint,
-    TeamsListChildLegacyRequestOptions | TeamsListChildRequestOptions
-  ];
-  "GET /user": [
-    UsersGetAuthenticatedEndpoint,
-    UsersGetAuthenticatedRequestOptions
-  ];
-  "GET /user/:migration_id/repositories": [
-    MigrationsListReposForUserEndpoint,
-    MigrationsListReposForUserRequestOptions
-  ];
-  "GET /user/blocks": [
-    UsersListBlockedEndpoint,
-    UsersListBlockedRequestOptions
-  ];
-  "GET /user/blocks/:username": [
-    UsersCheckBlockedEndpoint,
-    UsersCheckBlockedRequestOptions
-  ];
-  "GET /user/emails": [UsersListEmailsEndpoint, UsersListEmailsRequestOptions];
-  "GET /user/followers": [
-    UsersListFollowersForAuthenticatedUserEndpoint,
-    UsersListFollowersForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/following": [
-    UsersListFollowingForAuthenticatedUserEndpoint,
-    UsersListFollowingForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/following/:username": [
-    UsersCheckFollowingEndpoint,
-    UsersCheckFollowingRequestOptions
-  ];
-  "GET /user/gpg_keys": [
-    UsersListGpgKeysEndpoint,
-    UsersListGpgKeysRequestOptions
-  ];
-  "GET /user/gpg_keys/:gpg_key_id": [
-    UsersGetGpgKeyEndpoint,
-    UsersGetGpgKeyRequestOptions
-  ];
-  "GET /user/installations": [
-    AppsListInstallationsForAuthenticatedUserEndpoint,
-    AppsListInstallationsForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/installations/:installation_id/repositories": [
-    AppsListInstallationReposForAuthenticatedUserEndpoint,
-    AppsListInstallationReposForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/issues": [
-    IssuesListForAuthenticatedUserEndpoint,
-    IssuesListForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/keys": [
-    UsersListPublicKeysEndpoint,
-    UsersListPublicKeysRequestOptions
-  ];
-  "GET /user/keys/:key_id": [
-    UsersGetPublicKeyEndpoint,
-    UsersGetPublicKeyRequestOptions
-  ];
-  "GET /user/marketplace_purchases": [
-    AppsListMarketplacePurchasesForAuthenticatedUserEndpoint,
-    AppsListMarketplacePurchasesForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/marketplace_purchases/stubbed": [
-    AppsListMarketplacePurchasesForAuthenticatedUserStubbedEndpoint,
-    AppsListMarketplacePurchasesForAuthenticatedUserStubbedRequestOptions
-  ];
-  "GET /user/memberships/orgs": [
-    OrgsListMembershipsEndpoint,
-    OrgsListMembershipsRequestOptions
-  ];
-  "GET /user/memberships/orgs/:org": [
-    OrgsGetMembershipForAuthenticatedUserEndpoint,
-    OrgsGetMembershipForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/migrations": [
-    MigrationsListForAuthenticatedUserEndpoint,
-    MigrationsListForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/migrations/:migration_id": [
-    MigrationsGetStatusForAuthenticatedUserEndpoint,
-    MigrationsGetStatusForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/migrations/:migration_id/archive": [
-    MigrationsGetArchiveForAuthenticatedUserEndpoint,
-    MigrationsGetArchiveForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/orgs": [
-    OrgsListForAuthenticatedUserEndpoint,
-    OrgsListForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/public_emails": [
-    UsersListPublicEmailsEndpoint,
-    UsersListPublicEmailsRequestOptions
-  ];
-  "GET /user/repos": [ReposListEndpoint, ReposListRequestOptions];
-  "GET /user/repository_invitations": [
-    ReposListInvitationsForAuthenticatedUserEndpoint,
-    ReposListInvitationsForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/starred": [
-    ActivityListReposStarredByAuthenticatedUserEndpoint,
-    ActivityListReposStarredByAuthenticatedUserRequestOptions
-  ];
-  "GET /user/starred/:owner/:repo": [
-    ActivityCheckStarringRepoEndpoint,
-    ActivityCheckStarringRepoRequestOptions
-  ];
-  "GET /user/subscriptions": [
-    ActivityListWatchedReposForAuthenticatedUserEndpoint,
-    ActivityListWatchedReposForAuthenticatedUserRequestOptions
-  ];
-  "GET /user/subscriptions/:owner/:repo": [
-    ActivityCheckWatchingRepoLegacyEndpoint,
-    ActivityCheckWatchingRepoLegacyRequestOptions
-  ];
-  "GET /user/teams": [
-    TeamsListForAuthenticatedUserEndpoint,
-    TeamsListForAuthenticatedUserRequestOptions
-  ];
-  "GET /users": [UsersListEndpoint, UsersListRequestOptions];
-  "GET /users/:username": [
-    UsersGetByUsernameEndpoint,
-    UsersGetByUsernameRequestOptions
-  ];
-  "GET /users/:username/events": [
-    ActivityListEventsForUserEndpoint,
-    ActivityListEventsForUserRequestOptions
-  ];
-  "GET /users/:username/events/orgs/:org": [
-    ActivityListEventsForOrgEndpoint,
-    ActivityListEventsForOrgRequestOptions
-  ];
-  "GET /users/:username/events/public": [
-    ActivityListPublicEventsForUserEndpoint,
-    ActivityListPublicEventsForUserRequestOptions
-  ];
-  "GET /users/:username/followers": [
-    UsersListFollowersForUserEndpoint,
-    UsersListFollowersForUserRequestOptions
-  ];
-  "GET /users/:username/following": [
-    UsersListFollowingForUserEndpoint,
-    UsersListFollowingForUserRequestOptions
-  ];
-  "GET /users/:username/following/:target_user": [
-    UsersCheckFollowingForUserEndpoint,
-    UsersCheckFollowingForUserRequestOptions
-  ];
-  "GET /users/:username/gists": [
-    GistsListPublicForUserEndpoint,
-    GistsListPublicForUserRequestOptions
-  ];
-  "GET /users/:username/gpg_keys": [
-    UsersListGpgKeysForUserEndpoint,
-    UsersListGpgKeysForUserRequestOptions
-  ];
-  "GET /users/:username/hovercard": [
-    UsersGetContextForUserEndpoint,
-    UsersGetContextForUserRequestOptions
-  ];
-  "GET /users/:username/installation": [
-    AppsGetUserInstallationEndpoint | AppsFindUserInstallationEndpoint,
-
-      | AppsGetUserInstallationRequestOptions
-      | AppsFindUserInstallationRequestOptions
-  ];
-  "GET /users/:username/keys": [
-    UsersListPublicKeysForUserEndpoint,
-    UsersListPublicKeysForUserRequestOptions
-  ];
-  "GET /users/:username/orgs": [
-    OrgsListForUserEndpoint,
-    OrgsListForUserRequestOptions
-  ];
-  "GET /users/:username/projects": [
-    ProjectsListForUserEndpoint,
-    ProjectsListForUserRequestOptions
-  ];
-  "GET /users/:username/received_events": [
-    ActivityListReceivedEventsForUserEndpoint,
-    ActivityListReceivedEventsForUserRequestOptions
-  ];
-  "GET /users/:username/received_events/public": [
-    ActivityListReceivedPublicEventsForUserEndpoint,
-    ActivityListReceivedPublicEventsForUserRequestOptions
-  ];
-  "GET /users/:username/repos": [
-    ReposListForUserEndpoint,
-    ReposListForUserRequestOptions
-  ];
-  "GET /users/:username/starred": [
-    ActivityListReposStarredByUserEndpoint,
-    ActivityListReposStarredByUserRequestOptions
-  ];
-  "GET /users/:username/subscriptions": [
-    ActivityListReposWatchedByUserEndpoint,
-    ActivityListReposWatchedByUserRequestOptions
-  ];
-  "PATCH /applications/:client_id/token": [
-    AppsResetTokenEndpoint,
-    AppsResetTokenRequestOptions
-  ];
-  "PATCH /authorizations/:authorization_id": [
-    OauthAuthorizationsUpdateAuthorizationEndpoint,
-    OauthAuthorizationsUpdateAuthorizationRequestOptions
-  ];
-  "PATCH /gists/:gist_id": [GistsUpdateEndpoint, GistsUpdateRequestOptions];
-  "PATCH /gists/:gist_id/comments/:comment_id": [
-    GistsUpdateCommentEndpoint,
-    GistsUpdateCommentRequestOptions
-  ];
-  "PATCH /notifications/threads/:thread_id": [
-    ActivityMarkThreadAsReadEndpoint,
-    ActivityMarkThreadAsReadRequestOptions
-  ];
-  "PATCH /orgs/:org": [OrgsUpdateEndpoint, OrgsUpdateRequestOptions];
-  "PATCH /orgs/:org/hooks/:hook_id": [
-    OrgsUpdateHookEndpoint,
-    OrgsUpdateHookRequestOptions
-  ];
-  "PATCH /orgs/:org/teams/:team_slug": [
-    TeamsUpdateInOrgEndpoint,
-    TeamsUpdateInOrgRequestOptions
-  ];
-  "PATCH /orgs/:org/teams/:team_slug/discussions/:discussion_number": [
-    TeamsUpdateDiscussionInOrgEndpoint,
-    TeamsUpdateDiscussionInOrgRequestOptions
-  ];
-  "PATCH /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number": [
-    TeamsUpdateDiscussionCommentInOrgEndpoint,
-    TeamsUpdateDiscussionCommentInOrgRequestOptions
-  ];
-  "PATCH /orgs/:org/teams/:team_slug/team-sync/group-mappings": [
-    TeamsCreateOrUpdateIdPGroupConnectionsInOrgEndpoint,
-    TeamsCreateOrUpdateIdPGroupConnectionsInOrgRequestOptions
-  ];
-  "PATCH /projects/:project_id": [
-    ProjectsUpdateEndpoint,
-    ProjectsUpdateRequestOptions
-  ];
-  "PATCH /projects/columns/:column_id": [
-    ProjectsUpdateColumnEndpoint,
-    ProjectsUpdateColumnRequestOptions
-  ];
-  "PATCH /projects/columns/cards/:card_id": [
-    ProjectsUpdateCardEndpoint,
-    ProjectsUpdateCardRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo": [ReposUpdateEndpoint, ReposUpdateRequestOptions];
-  "PATCH /repos/:owner/:repo/branches/:branch/protection/required_pull_request_reviews": [
-    ReposUpdateProtectedBranchPullRequestReviewEnforcementEndpoint,
-    ReposUpdateProtectedBranchPullRequestReviewEnforcementRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/branches/:branch/protection/required_status_checks": [
-    ReposUpdateProtectedBranchRequiredStatusChecksEndpoint,
-    ReposUpdateProtectedBranchRequiredStatusChecksRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/check-runs/:check_run_id": [
-    ChecksUpdateEndpoint,
-    ChecksUpdateRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/check-suites/preferences": [
-    ChecksSetSuitesPreferencesEndpoint,
-    ChecksSetSuitesPreferencesRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/comments/:comment_id": [
-    ReposUpdateCommitCommentEndpoint,
-    ReposUpdateCommitCommentRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/git/refs/:ref": [
-    GitUpdateRefEndpoint,
-    GitUpdateRefRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/hooks/:hook_id": [
-    ReposUpdateHookEndpoint,
-    ReposUpdateHookRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/import": [
-    MigrationsUpdateImportEndpoint,
-    MigrationsUpdateImportRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/import/authors/:author_id": [
-    MigrationsMapCommitAuthorEndpoint,
-    MigrationsMapCommitAuthorRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/import/lfs": [
-    MigrationsSetLfsPreferenceEndpoint,
-    MigrationsSetLfsPreferenceRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/invitations/:invitation_id": [
-    ReposUpdateInvitationEndpoint,
-    ReposUpdateInvitationRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/issues/:issue_number": [
-    IssuesUpdateEndpoint,
-    IssuesUpdateRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/issues/comments/:comment_id": [
-    IssuesUpdateCommentEndpoint,
-    IssuesUpdateCommentRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/labels/:name": [
-    IssuesUpdateLabelEndpoint,
-    IssuesUpdateLabelRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/milestones/:milestone_number": [
-    IssuesUpdateMilestoneEndpoint,
-    IssuesUpdateMilestoneRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/pulls/:pull_number": [
-    PullsUpdateEndpoint,
-    PullsUpdateRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/pulls/comments/:comment_id": [
-    PullsUpdateCommentEndpoint,
-    PullsUpdateCommentRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/releases/:release_id": [
-    ReposUpdateReleaseEndpoint,
-    ReposUpdateReleaseRequestOptions
-  ];
-  "PATCH /repos/:owner/:repo/releases/assets/:asset_id": [
-    ReposUpdateReleaseAssetEndpoint,
-    ReposUpdateReleaseAssetRequestOptions
-  ];
-  "PATCH /scim/v2/organizations/:org/Users/:scim_user_id": [
-    ScimUpdateUserAttributeEndpoint,
-    ScimUpdateUserAttributeRequestOptions
-  ];
-  "PATCH /teams/:team_id": [
-    TeamsUpdateLegacyEndpoint | TeamsUpdateEndpoint,
-    TeamsUpdateLegacyRequestOptions | TeamsUpdateRequestOptions
-  ];
-  "PATCH /teams/:team_id/discussions/:discussion_number": [
-    TeamsUpdateDiscussionLegacyEndpoint | TeamsUpdateDiscussionEndpoint,
-
-      | TeamsUpdateDiscussionLegacyRequestOptions
-      | TeamsUpdateDiscussionRequestOptions
-  ];
-  "PATCH /teams/:team_id/discussions/:discussion_number/comments/:comment_number": [
-
-      | TeamsUpdateDiscussionCommentLegacyEndpoint
-      | TeamsUpdateDiscussionCommentEndpoint,
-
-      | TeamsUpdateDiscussionCommentLegacyRequestOptions
-      | TeamsUpdateDiscussionCommentRequestOptions
-  ];
-  "PATCH /teams/:team_id/team-sync/group-mappings": [
-
-      | TeamsCreateOrUpdateIdPGroupConnectionsLegacyEndpoint
-      | TeamsCreateOrUpdateIdPGroupConnectionsEndpoint,
-
-      | TeamsCreateOrUpdateIdPGroupConnectionsLegacyRequestOptions
-      | TeamsCreateOrUpdateIdPGroupConnectionsRequestOptions
-  ];
-  "PATCH /user": [
-    UsersUpdateAuthenticatedEndpoint,
-    UsersUpdateAuthenticatedRequestOptions
-  ];
-  "PATCH /user/email/visibility": [
-    UsersTogglePrimaryEmailVisibilityEndpoint,
-    UsersTogglePrimaryEmailVisibilityRequestOptions
-  ];
-  "PATCH /user/memberships/orgs/:org": [
-    OrgsUpdateMembershipEndpoint,
-    OrgsUpdateMembershipRequestOptions
-  ];
-  "PATCH /user/repository_invitations/:invitation_id": [
-    ReposAcceptInvitationEndpoint,
-    ReposAcceptInvitationRequestOptions
-  ];
-  "POST /app-manifests/:code/conversions": [
-    AppsCreateFromManifestEndpoint,
-    AppsCreateFromManifestRequestOptions
-  ];
-  "POST /app/installations/:installation_id/access_tokens": [
-    AppsCreateInstallationTokenEndpoint,
-    AppsCreateInstallationTokenRequestOptions
-  ];
-  "POST /applications/:client_id/token": [
-    AppsCheckTokenEndpoint,
-    AppsCheckTokenRequestOptions
-  ];
-  "POST /applications/:client_id/tokens/:access_token": [
-
-      | AppsResetAuthorizationEndpoint
-      | OauthAuthorizationsResetAuthorizationEndpoint,
-
-      | AppsResetAuthorizationRequestOptions
-      | OauthAuthorizationsResetAuthorizationRequestOptions
-  ];
-  "POST /authorizations": [
-    OauthAuthorizationsCreateAuthorizationEndpoint,
-    OauthAuthorizationsCreateAuthorizationRequestOptions
-  ];
-  "POST /content_references/:content_reference_id/attachments": [
-    AppsCreateContentAttachmentEndpoint,
-    AppsCreateContentAttachmentRequestOptions
-  ];
-  "POST /gists": [GistsCreateEndpoint, GistsCreateRequestOptions];
-  "POST /gists/:gist_id/comments": [
-    GistsCreateCommentEndpoint,
-    GistsCreateCommentRequestOptions
-  ];
-  "POST /gists/:gist_id/forks": [GistsForkEndpoint, GistsForkRequestOptions];
-  "POST /markdown": [MarkdownRenderEndpoint, MarkdownRenderRequestOptions];
-  "POST /markdown/raw": [
-    MarkdownRenderRawEndpoint,
-    MarkdownRenderRawRequestOptions
-  ];
-  "POST /orgs/:org/hooks": [
-    OrgsCreateHookEndpoint,
-    OrgsCreateHookRequestOptions
-  ];
-  "POST /orgs/:org/hooks/:hook_id/pings": [
-    OrgsPingHookEndpoint,
-    OrgsPingHookRequestOptions
-  ];
-  "POST /orgs/:org/invitations": [
-    OrgsCreateInvitationEndpoint,
-    OrgsCreateInvitationRequestOptions
-  ];
-  "POST /orgs/:org/migrations": [
-    MigrationsStartForOrgEndpoint,
-    MigrationsStartForOrgRequestOptions
-  ];
-  "POST /orgs/:org/projects": [
-    ProjectsCreateForOrgEndpoint,
-    ProjectsCreateForOrgRequestOptions
-  ];
-  "POST /orgs/:org/repos": [
-    ReposCreateInOrgEndpoint,
-    ReposCreateInOrgRequestOptions
-  ];
-  "POST /orgs/:org/teams": [TeamsCreateEndpoint, TeamsCreateRequestOptions];
-  "POST /orgs/:org/teams/:team_slug/discussions": [
-    TeamsCreateDiscussionInOrgEndpoint,
-    TeamsCreateDiscussionInOrgRequestOptions
-  ];
-  "POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments": [
-    TeamsCreateDiscussionCommentInOrgEndpoint,
-    TeamsCreateDiscussionCommentInOrgRequestOptions
-  ];
-  "POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/comments/:comment_number/reactions": [
-    ReactionsCreateForTeamDiscussionCommentInOrgEndpoint,
-    ReactionsCreateForTeamDiscussionCommentInOrgRequestOptions
-  ];
-  "POST /orgs/:org/teams/:team_slug/discussions/:discussion_number/reactions": [
-    ReactionsCreateForTeamDiscussionInOrgEndpoint,
-    ReactionsCreateForTeamDiscussionInOrgRequestOptions
-  ];
-  "POST /projects/:project_id/columns": [
-    ProjectsCreateColumnEndpoint,
-    ProjectsCreateColumnRequestOptions
-  ];
-  "POST /projects/columns/:column_id/cards": [
-    ProjectsCreateCardEndpoint,
-    ProjectsCreateCardRequestOptions
-  ];
-  "POST /projects/columns/:column_id/moves": [
-    ProjectsMoveColumnEndpoint,
-    ProjectsMoveColumnRequestOptions
-  ];
-  "POST /projects/columns/cards/:card_id/moves": [
-    ProjectsMoveCardEndpoint,
-    ProjectsMoveCardRequestOptions
-  ];
-  "POST /repos/:owner/:repo/branches/:branch/protection/enforce_admins": [
-    ReposAddProtectedBranchAdminEnforcementEndpoint,
-    ReposAddProtectedBranchAdminEnforcementRequestOptions
-  ];
-  "POST /repos/:owner/:repo/branches/:branch/protection/required_signatures": [
-    ReposAddProtectedBranchRequiredSignaturesEndpoint,
-    ReposAddProtectedBranchRequiredSignaturesRequestOptions
-  ];
-  "POST /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts": [
-    ReposAddProtectedBranchRequiredStatusChecksContextsEndpoint,
-    ReposAddProtectedBranchRequiredStatusChecksContextsRequestOptions
-  ];
-  "POST /repos/:owner/:repo/branches/:branch/protection/restrictions/apps": [
-    ReposAddProtectedBranchAppRestrictionsEndpoint,
-    ReposAddProtectedBranchAppRestrictionsRequestOptions
-  ];
-  "POST /repos/:owner/:repo/branches/:branch/protection/restrictions/teams": [
-    ReposAddProtectedBranchTeamRestrictionsEndpoint,
-    ReposAddProtectedBranchTeamRestrictionsRequestOptions
-  ];
-  "POST /repos/:owner/:repo/branches/:branch/protection/restrictions/users": [
-    ReposAddProtectedBranchUserRestrictionsEndpoint,
-    ReposAddProtectedBranchUserRestrictionsRequestOptions
-  ];
-  "POST /repos/:owner/:repo/check-runs": [
-    ChecksCreateEndpoint,
-    ChecksCreateRequestOptions
-  ];
-  "POST /repos/:owner/:repo/check-suites": [
-    ChecksCreateSuiteEndpoint,
-    ChecksCreateSuiteRequestOptions
-  ];
-  "POST /repos/:owner/:repo/check-suites/:check_suite_id/rerequest": [
-    ChecksRerequestSuiteEndpoint,
-    ChecksRerequestSuiteRequestOptions
-  ];
-  "POST /repos/:owner/:repo/comments/:comment_id/reactions": [
-    ReactionsCreateForCommitCommentEndpoint,
-    ReactionsCreateForCommitCommentRequestOptions
-  ];
-  "POST /repos/:owner/:repo/commits/:commit_sha/comments": [
-    ReposCreateCommitCommentEndpoint,
-    ReposCreateCommitCommentRequestOptions
-  ];
-  "POST /repos/:owner/:repo/deployments": [
-    ReposCreateDeploymentEndpoint,
-    ReposCreateDeploymentRequestOptions
-  ];
-  "POST /repos/:owner/:repo/deployments/:deployment_id/statuses": [
-    ReposCreateDeploymentStatusEndpoint,
-    ReposCreateDeploymentStatusRequestOptions
-  ];
-  "POST /repos/:owner/:repo/dispatches": [
-    ReposCreateDispatchEventEndpoint,
-    ReposCreateDispatchEventRequestOptions
-  ];
-  "POST /repos/:owner/:repo/forks": [
-    ReposCreateForkEndpoint,
-    ReposCreateForkRequestOptions
-  ];
-  "POST /repos/:owner/:repo/git/blobs": [
-    GitCreateBlobEndpoint,
-    GitCreateBlobRequestOptions
-  ];
-  "POST /repos/:owner/:repo/git/commits": [
-    GitCreateCommitEndpoint,
-    GitCreateCommitRequestOptions
-  ];
-  "POST /repos/:owner/:repo/git/refs": [
-    GitCreateRefEndpoint,
-    GitCreateRefRequestOptions
-  ];
-  "POST /repos/:owner/:repo/git/tags": [
-    GitCreateTagEndpoint,
-    GitCreateTagRequestOptions
-  ];
-  "POST /repos/:owner/:repo/git/trees": [
-    GitCreateTreeEndpoint,
-    GitCreateTreeRequestOptions
-  ];
-  "POST /repos/:owner/:repo/hooks": [
-    ReposCreateHookEndpoint,
-    ReposCreateHookRequestOptions
-  ];
-  "POST /repos/:owner/:repo/hooks/:hook_id/pings": [
-    ReposPingHookEndpoint,
-    ReposPingHookRequestOptions
-  ];
-  "POST /repos/:owner/:repo/hooks/:hook_id/tests": [
-    ReposTestPushHookEndpoint,
-    ReposTestPushHookRequestOptions
-  ];
-  "POST /repos/:owner/:repo/issues": [
-    IssuesCreateEndpoint,
-    IssuesCreateRequestOptions
-  ];
-  "POST /repos/:owner/:repo/issues/:issue_number/assignees": [
-    IssuesAddAssigneesEndpoint,
-    IssuesAddAssigneesRequestOptions
-  ];
-  "POST /repos/:owner/:repo/issues/:issue_number/comments": [
-    IssuesCreateCommentEndpoint,
-    IssuesCreateCommentRequestOptions
-  ];
-  "POST /repos/:owner/:repo/issues/:issue_number/labels": [
-    IssuesAddLabelsEndpoint,
-    IssuesAddLabelsRequestOptions
-  ];
-  "POST /repos/:owner/:repo/issues/:issue_number/reactions": [
-    ReactionsCreateForIssueEndpoint,
-    ReactionsCreateForIssueRequestOptions
-  ];
-  "POST /repos/:owner/:repo/issues/comments/:comment_id/reactions": [
-    ReactionsCreateForIssueCommentEndpoint,
-    ReactionsCreateForIssueCommentRequestOptions
-  ];
-  "POST /repos/:owner/:repo/keys": [
-    ReposAddDeployKeyEndpoint,
-    ReposAddDeployKeyRequestOptions
-  ];
-  "POST /repos/:owner/:repo/labels": [
-    IssuesCreateLabelEndpoint,
-    IssuesCreateLabelRequestOptions
-  ];
-  "POST /repos/:owner/:repo/merges": [
-    ReposMergeEndpoint,
-    ReposMergeRequestOptions
-  ];
-  "POST /repos/:owner/:repo/milestones": [
-    IssuesCreateMilestoneEndpoint,
-    IssuesCreateMilestoneRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pages": [
-    ReposEnablePagesSiteEndpoint,
-    ReposEnablePagesSiteRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pages/builds": [
-    ReposRequestPageBuildEndpoint,
-    ReposRequestPageBuildRequestOptions
-  ];
-  "POST /repos/:owner/:repo/projects": [
-    ProjectsCreateForRepoEndpoint,
-    ProjectsCreateForRepoRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pulls": [
-    PullsCreateEndpoint,
-    PullsCreateRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pulls/:pull_number/comments": [
-    PullsCreateCommentEndpoint | PullsCreateCommentReplyEndpoint,
-    PullsCreateCommentRequestOptions | PullsCreateCommentReplyRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pulls/:pull_number/comments/:comment_id/replies": [
-    PullsCreateReviewCommentReplyEndpoint,
-    PullsCreateReviewCommentReplyRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pulls/:pull_number/requested_reviewers": [
-    PullsCreateReviewRequestEndpoint,
-    PullsCreateReviewRequestRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pulls/:pull_number/reviews": [
-    PullsCreateReviewEndpoint,
-    PullsCreateReviewRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/events": [
-    PullsSubmitReviewEndpoint,
-    PullsSubmitReviewRequestOptions
-  ];
-  "POST /repos/:owner/:repo/pulls/comments/:comment_id/reactions": [
-    ReactionsCreateForPullRequestReviewCommentEndpoint,
-    ReactionsCreateForPullRequestReviewCommentRequestOptions
-  ];
-  "POST /repos/:owner/:repo/releases": [
-    ReposCreateReleaseEndpoint,
-    ReposCreateReleaseRequestOptions
-  ];
-  "POST /repos/:owner/:repo/statuses/:sha": [
-    ReposCreateStatusEndpoint,
-    ReposCreateStatusRequestOptions
-  ];
-  "POST /repos/:owner/:repo/transfer": [
-    ReposTransferEndpoint,
-    ReposTransferRequestOptions
-  ];
-  "POST /repos/:template_owner/:template_repo/generate": [
-    ReposCreateUsingTemplateEndpoint,
-    ReposCreateUsingTemplateRequestOptions
-  ];
-  "POST /scim/v2/organizations/:org/Users": [
-    ScimProvisionAndInviteUsersEndpoint | ScimProvisionInviteUsersEndpoint,
-
-      | ScimProvisionAndInviteUsersRequestOptions
-      | ScimProvisionInviteUsersRequestOptions
-  ];
-  "POST /teams/:team_id/discussions": [
-    TeamsCreateDiscussionLegacyEndpoint | TeamsCreateDiscussionEndpoint,
-
-      | TeamsCreateDiscussionLegacyRequestOptions
-      | TeamsCreateDiscussionRequestOptions
-  ];
-  "POST /teams/:team_id/discussions/:discussion_number/comments": [
-
-      | TeamsCreateDiscussionCommentLegacyEndpoint
-      | TeamsCreateDiscussionCommentEndpoint,
-
-      | TeamsCreateDiscussionCommentLegacyRequestOptions
-      | TeamsCreateDiscussionCommentRequestOptions
-  ];
-  "POST /teams/:team_id/discussions/:discussion_number/comments/:comment_number/reactions": [
-
-      | ReactionsCreateForTeamDiscussionCommentLegacyEndpoint
-      | ReactionsCreateForTeamDiscussionCommentEndpoint,
-
-      | ReactionsCreateForTeamDiscussionCommentLegacyRequestOptions
-      | ReactionsCreateForTeamDiscussionCommentRequestOptions
-  ];
-  "POST /teams/:team_id/discussions/:discussion_number/reactions": [
-
-      | ReactionsCreateForTeamDiscussionLegacyEndpoint
-      | ReactionsCreateForTeamDiscussionEndpoint,
-
-      | ReactionsCreateForTeamDiscussionLegacyRequestOptions
-      | ReactionsCreateForTeamDiscussionRequestOptions
-  ];
-  "POST /user/emails": [UsersAddEmailsEndpoint, UsersAddEmailsRequestOptions];
-  "POST /user/gpg_keys": [
-    UsersCreateGpgKeyEndpoint,
-    UsersCreateGpgKeyRequestOptions
-  ];
-  "POST /user/keys": [
-    UsersCreatePublicKeyEndpoint,
-    UsersCreatePublicKeyRequestOptions
-  ];
-  "POST /user/migrations": [
-    MigrationsStartForAuthenticatedUserEndpoint,
-    MigrationsStartForAuthenticatedUserRequestOptions
-  ];
-  "POST /user/projects": [
-    ProjectsCreateForAuthenticatedUserEndpoint,
-    ProjectsCreateForAuthenticatedUserRequestOptions
-  ];
-  "POST /user/repos": [
-    ReposCreateForAuthenticatedUserEndpoint,
-    ReposCreateForAuthenticatedUserRequestOptions
-  ];
-  "PUT /authorizations/clients/:client_id": [
-    OauthAuthorizationsGetOrCreateAuthorizationForAppEndpoint,
-    OauthAuthorizationsGetOrCreateAuthorizationForAppRequestOptions
-  ];
-  "PUT /authorizations/clients/:client_id/:fingerprint": [
-
-      | OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintEndpoint
-      | OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintEndpoint,
-
-      | OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintRequestOptions
-      | OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintRequestOptions
-  ];
-  "PUT /gists/:gist_id/star": [GistsStarEndpoint, GistsStarRequestOptions];
-  "PUT /notifications": [
-    ActivityMarkAsReadEndpoint,
-    ActivityMarkAsReadRequestOptions
-  ];
-  "PUT /notifications/threads/:thread_id/subscription": [
-    ActivitySetThreadSubscriptionEndpoint,
-    ActivitySetThreadSubscriptionRequestOptions
-  ];
-  "PUT /orgs/:org/blocks/:username": [
-    OrgsBlockUserEndpoint,
-    OrgsBlockUserRequestOptions
-  ];
-  "PUT /orgs/:org/interaction-limits": [
-    InteractionsAddOrUpdateRestrictionsForOrgEndpoint,
-    InteractionsAddOrUpdateRestrictionsForOrgRequestOptions
-  ];
-  "PUT /orgs/:org/memberships/:username": [
-    OrgsAddOrUpdateMembershipEndpoint,
-    OrgsAddOrUpdateMembershipRequestOptions
-  ];
-  "PUT /orgs/:org/outside_collaborators/:username": [
-    OrgsConvertMemberToOutsideCollaboratorEndpoint,
-    OrgsConvertMemberToOutsideCollaboratorRequestOptions
-  ];
-  "PUT /orgs/:org/public_members/:username": [
-    OrgsPublicizeMembershipEndpoint,
-    OrgsPublicizeMembershipRequestOptions
-  ];
-  "PUT /orgs/:org/teams/:team_slug/memberships/:username": [
-    TeamsAddOrUpdateMembershipInOrgEndpoint,
-    TeamsAddOrUpdateMembershipInOrgRequestOptions
-  ];
-  "PUT /orgs/:org/teams/:team_slug/projects/:project_id": [
-    TeamsAddOrUpdateProjectInOrgEndpoint,
-    TeamsAddOrUpdateProjectInOrgRequestOptions
-  ];
-  "PUT /orgs/:org/teams/:team_slug/repos/:owner/:repo": [
-    TeamsAddOrUpdateRepoInOrgEndpoint,
-    TeamsAddOrUpdateRepoInOrgRequestOptions
-  ];
-  "PUT /projects/:project_id/collaborators/:username": [
-    ProjectsAddCollaboratorEndpoint,
-    ProjectsAddCollaboratorRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/automated-security-fixes": [
-    ReposEnableAutomatedSecurityFixesEndpoint,
-    ReposEnableAutomatedSecurityFixesRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/branches/:branch/protection": [
-    ReposUpdateBranchProtectionEndpoint,
-    ReposUpdateBranchProtectionRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/branches/:branch/protection/required_status_checks/contexts": [
-    ReposReplaceProtectedBranchRequiredStatusChecksContextsEndpoint,
-    ReposReplaceProtectedBranchRequiredStatusChecksContextsRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/apps": [
-    ReposReplaceProtectedBranchAppRestrictionsEndpoint,
-    ReposReplaceProtectedBranchAppRestrictionsRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/teams": [
-    ReposReplaceProtectedBranchTeamRestrictionsEndpoint,
-    ReposReplaceProtectedBranchTeamRestrictionsRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/branches/:branch/protection/restrictions/users": [
-    ReposReplaceProtectedBranchUserRestrictionsEndpoint,
-    ReposReplaceProtectedBranchUserRestrictionsRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/collaborators/:username": [
-    ReposAddCollaboratorEndpoint,
-    ReposAddCollaboratorRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/contents/:path": [
-
-      | ReposCreateOrUpdateFileEndpoint
-      | ReposCreateFileEndpoint
-      | ReposUpdateFileEndpoint,
-
-      | ReposCreateOrUpdateFileRequestOptions
-      | ReposCreateFileRequestOptions
-      | ReposUpdateFileRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/import": [
-    MigrationsStartImportEndpoint,
-    MigrationsStartImportRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/interaction-limits": [
-    InteractionsAddOrUpdateRestrictionsForRepoEndpoint,
-    InteractionsAddOrUpdateRestrictionsForRepoRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/issues/:issue_number/labels": [
-    IssuesReplaceLabelsEndpoint,
-    IssuesReplaceLabelsRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/issues/:issue_number/lock": [
-    IssuesLockEndpoint,
-    IssuesLockRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/notifications": [
-    ActivityMarkNotificationsAsReadForRepoEndpoint,
-    ActivityMarkNotificationsAsReadForRepoRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/pages": [
-    ReposUpdateInformationAboutPagesSiteEndpoint,
-    ReposUpdateInformationAboutPagesSiteRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/pulls/:pull_number/merge": [
-    PullsMergeEndpoint,
-    PullsMergeRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id": [
-    PullsUpdateReviewEndpoint,
-    PullsUpdateReviewRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/pulls/:pull_number/reviews/:review_id/dismissals": [
-    PullsDismissReviewEndpoint,
-    PullsDismissReviewRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/pulls/:pull_number/update-branch": [
-    PullsUpdateBranchEndpoint,
-    PullsUpdateBranchRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/subscription": [
-    ActivitySetRepoSubscriptionEndpoint,
-    ActivitySetRepoSubscriptionRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/topics": [
-    ReposReplaceTopicsEndpoint,
-    ReposReplaceTopicsRequestOptions
-  ];
-  "PUT /repos/:owner/:repo/vulnerability-alerts": [
-    ReposEnableVulnerabilityAlertsEndpoint,
-    ReposEnableVulnerabilityAlertsRequestOptions
-  ];
-  "PUT /scim/v2/organizations/:org/Users/:scim_user_id": [
-
-      | ScimReplaceProvisionedUserInformationEndpoint
-      | ScimUpdateProvisionedOrgMembershipEndpoint,
-
-      | ScimReplaceProvisionedUserInformationRequestOptions
-      | ScimUpdateProvisionedOrgMembershipRequestOptions
-  ];
-  "PUT /teams/:team_id/members/:username": [
-    TeamsAddMemberLegacyEndpoint | TeamsAddMemberEndpoint,
-    TeamsAddMemberLegacyRequestOptions | TeamsAddMemberRequestOptions
-  ];
-  "PUT /teams/:team_id/memberships/:username": [
-
-      | TeamsAddOrUpdateMembershipLegacyEndpoint
-      | TeamsAddOrUpdateMembershipEndpoint,
-
-      | TeamsAddOrUpdateMembershipLegacyRequestOptions
-      | TeamsAddOrUpdateMembershipRequestOptions
-  ];
-  "PUT /teams/:team_id/projects/:project_id": [
-    TeamsAddOrUpdateProjectLegacyEndpoint | TeamsAddOrUpdateProjectEndpoint,
-
-      | TeamsAddOrUpdateProjectLegacyRequestOptions
-      | TeamsAddOrUpdateProjectRequestOptions
-  ];
-  "PUT /teams/:team_id/repos/:owner/:repo": [
-    TeamsAddOrUpdateRepoLegacyEndpoint | TeamsAddOrUpdateRepoEndpoint,
-
-      | TeamsAddOrUpdateRepoLegacyRequestOptions
-      | TeamsAddOrUpdateRepoRequestOptions
-  ];
-  "PUT /user/blocks/:username": [UsersBlockEndpoint, UsersBlockRequestOptions];
-  "PUT /user/following/:username": [
-    UsersFollowEndpoint,
-    UsersFollowRequestOptions
-  ];
-  "PUT /user/installations/:installation_id/repositories/:repository_id": [
-    AppsAddRepoToInstallationEndpoint,
-    AppsAddRepoToInstallationRequestOptions
-  ];
-  "PUT /user/starred/:owner/:repo": [
-    ActivityStarRepoEndpoint,
-    ActivityStarRepoRequestOptions
-  ];
-  "PUT /user/subscriptions/:owner/:repo": [
-    ActivityWatchRepoLegacyEndpoint,
-    ActivityWatchRepoLegacyRequestOptions
-  ];
-}
-
-type AppsGetAuthenticatedEndpoint = {};
-type AppsGetAuthenticatedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsCreateFromManifestEndpoint = {
-  /**
-   * code parameter
-   */
-  code: string;
-};
-type AppsCreateFromManifestRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListInstallationsEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListInstallationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsGetInstallationEndpoint = {
-  /**
-   * installation_id parameter
-   */
-  installation_id: number;
-};
-type AppsGetInstallationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsDeleteInstallationEndpoint = {
-  /**
-   * installation_id parameter
-   */
-  installation_id: number;
-};
-type AppsDeleteInstallationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsCreateInstallationTokenEndpoint = {
-  /**
-   * installation_id parameter
-   */
-  installation_id: number;
-  /**
-   * The `id`s of the repositories that the installation token can access. Providing repository `id`s restricts the access of an installation token to specific repositories. You can use the "[List repositories](https://developer.github.com/v3/apps/installations/#list-repositories)" endpoint to get the `id` of all repositories that an installation can access. For example, you can select specific repositories when creating an installation token to restrict the number of repositories that can be cloned using the token.
-   */
-  repository_ids?: number[];
-  /**
-   * The permissions granted to the access token. The permissions object includes the permission names and their access type. For a complete list of permissions and allowable values, see "[GitHub App permissions](https://developer.github.com/apps/building-github-apps/creating-github-apps-using-url-parameters/#github-app-permissions)."
-   */
-  permissions?: AppsCreateInstallationTokenParamsPermissions;
-};
-type AppsCreateInstallationTokenRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsListGrantsEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OauthAuthorizationsListGrantsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsGetGrantEndpoint = {
-  /**
-   * grant_id parameter
-   */
-  grant_id: number;
-};
-type OauthAuthorizationsGetGrantRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsDeleteGrantEndpoint = {
-  /**
-   * grant_id parameter
-   */
-  grant_id: number;
-};
-type OauthAuthorizationsDeleteGrantRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsDeleteAuthorizationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * The OAuth access token used to authenticate to the GitHub API.
-   */
-  access_token?: string;
-};
-type AppsDeleteAuthorizationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsRevokeGrantForApplicationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * access_token parameter
-   */
-  access_token: string;
-};
-type AppsRevokeGrantForApplicationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsRevokeGrantForApplicationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * access_token parameter
-   */
-  access_token: string;
-};
-type OauthAuthorizationsRevokeGrantForApplicationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsCheckTokenEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * The OAuth access token used to authenticate to the GitHub API.
-   */
-  access_token?: string;
-};
-type AppsCheckTokenRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsResetTokenEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * The OAuth access token used to authenticate to the GitHub API.
-   */
-  access_token?: string;
-};
-type AppsResetTokenRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsDeleteTokenEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * The OAuth access token used to authenticate to the GitHub API.
-   */
-  access_token?: string;
-};
-type AppsDeleteTokenRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsCheckAuthorizationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * access_token parameter
-   */
-  access_token: string;
-};
-type AppsCheckAuthorizationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsCheckAuthorizationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * access_token parameter
-   */
-  access_token: string;
-};
-type OauthAuthorizationsCheckAuthorizationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsResetAuthorizationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * access_token parameter
-   */
-  access_token: string;
-};
-type AppsResetAuthorizationRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsResetAuthorizationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * access_token parameter
-   */
-  access_token: string;
-};
-type OauthAuthorizationsResetAuthorizationRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsRevokeAuthorizationForApplicationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * access_token parameter
-   */
-  access_token: string;
-};
-type AppsRevokeAuthorizationForApplicationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsRevokeAuthorizationForApplicationEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * access_token parameter
-   */
-  access_token: string;
-};
-type OauthAuthorizationsRevokeAuthorizationForApplicationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsGetBySlugEndpoint = {
-  /**
-   * app_slug parameter
-   */
-  app_slug: string;
-};
-type AppsGetBySlugRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsListAuthorizationsEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OauthAuthorizationsListAuthorizationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsCreateAuthorizationEndpoint = {
-  /**
-   * A list of scopes that this authorization is in.
-   */
-  scopes?: string[];
-  /**
-   * A note to remind you what the OAuth token is for. Tokens not associated with a specific OAuth application (i.e. personal access tokens) must have a unique note.
-   */
-  note: string;
-  /**
-   * A URL to remind you what app the OAuth token is for.
-   */
-  note_url?: string;
-  /**
-   * The 20 character OAuth app client key for which to create the token.
-   */
-  client_id?: string;
-  /**
-   * The 40 character OAuth app client secret for which to create the token.
-   */
-  client_secret?: string;
-  /**
-   * A unique string to distinguish an authorization from others created for the same client ID and user.
-   */
-  fingerprint?: string;
-};
-type OauthAuthorizationsCreateAuthorizationRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsGetOrCreateAuthorizationForAppEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-   */
-  client_secret: string;
-  /**
-   * A list of scopes that this authorization is in.
-   */
-  scopes?: string[];
-  /**
-   * A note to remind you what the OAuth token is for.
-   */
-  note?: string;
-  /**
-   * A URL to remind you what app the OAuth token is for.
-   */
-  note_url?: string;
-  /**
-   * A unique string to distinguish an authorization from others created for the same client and user. If provided, this API is functionally equivalent to [Get-or-create an authorization for a specific app and fingerprint](https://developer.github.com/v3/oauth_authorizations/#get-or-create-an-authorization-for-a-specific-app-and-fingerprint).
-   */
-  fingerprint?: string;
-};
-type OauthAuthorizationsGetOrCreateAuthorizationForAppRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * fingerprint parameter
-   */
-  fingerprint: string;
-  /**
-   * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-   */
-  client_secret: string;
-  /**
-   * A list of scopes that this authorization is in.
-   */
-  scopes?: string[];
-  /**
-   * A note to remind you what the OAuth token is for.
-   */
-  note?: string;
-  /**
-   * A URL to remind you what app the OAuth token is for.
-   */
-  note_url?: string;
-};
-type OauthAuthorizationsGetOrCreateAuthorizationForAppAndFingerprintRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintEndpoint = {
-  /**
-   * client_id parameter
-   */
-  client_id: string;
-  /**
-   * fingerprint parameter
-   */
-  fingerprint: string;
-  /**
-   * The 40 character OAuth app client secret associated with the client ID specified in the URL.
-   */
-  client_secret: string;
-  /**
-   * A list of scopes that this authorization is in.
-   */
-  scopes?: string[];
-  /**
-   * A note to remind you what the OAuth token is for.
-   */
-  note?: string;
-  /**
-   * A URL to remind you what app the OAuth token is for.
-   */
-  note_url?: string;
-};
-type OauthAuthorizationsGetOrCreateAuthorizationForAppFingerprintRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsGetAuthorizationEndpoint = {
-  /**
-   * authorization_id parameter
-   */
-  authorization_id: number;
-};
-type OauthAuthorizationsGetAuthorizationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsUpdateAuthorizationEndpoint = {
-  /**
-   * authorization_id parameter
-   */
-  authorization_id: number;
-  /**
-   * Replaces the authorization scopes with these.
-   */
-  scopes?: string[];
-  /**
-   * A list of scopes to add to this authorization.
-   */
-  add_scopes?: string[];
-  /**
-   * A list of scopes to remove from this authorization.
-   */
-  remove_scopes?: string[];
-  /**
-   * A note to remind you what the OAuth token is for. Tokens not associated with a specific OAuth application (i.e. personal access tokens) must have a unique note.
-   */
-  note?: string;
-  /**
-   * A URL to remind you what app the OAuth token is for.
-   */
-  note_url?: string;
-  /**
-   * A unique string to distinguish an authorization from others created for the same client ID and user.
-   */
-  fingerprint?: string;
-};
-type OauthAuthorizationsUpdateAuthorizationRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OauthAuthorizationsDeleteAuthorizationEndpoint = {
-  /**
-   * authorization_id parameter
-   */
-  authorization_id: number;
-};
-type OauthAuthorizationsDeleteAuthorizationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type CodesOfConductListConductCodesEndpoint = {};
-type CodesOfConductListConductCodesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type CodesOfConductGetConductCodeEndpoint = {
-  /**
-   * key parameter
-   */
-  key: string;
-};
-type CodesOfConductGetConductCodeRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsCreateContentAttachmentEndpoint = {
-  /**
-   * content_reference_id parameter
-   */
-  content_reference_id: number;
-  /**
-   * The title of the content attachment displayed in the body or comment of an issue or pull request.
-   */
-  title: string;
-  /**
-   * The body text of the content attachment displayed in the body or comment of an issue or pull request. This parameter supports markdown.
-   */
-  body: string;
-};
-type AppsCreateContentAttachmentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type EmojisGetEndpoint = {};
-type EmojisGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListPublicEventsEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListPublicEventsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListFeedsEndpoint = {};
-type ActivityListFeedsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsListEndpoint = {
-  /**
-   * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type GistsListRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsCreateEndpoint = {
-  /**
-   * The filenames and content of each file in the gist. The keys in the `files` object represent the filename and have the type `string`.
-   */
-  files: GistsCreateParamsFiles;
-  /**
-   * A descriptive name for this gist.
-   */
-  description?: string;
-  /**
-   * When `true`, the gist will be public and available for anyone to see.
-   */
-  public?: boolean;
-};
-type GistsCreateRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsListPublicEndpoint = {
-  /**
-   * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type GistsListPublicRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsListStarredEndpoint = {
-  /**
-   * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type GistsListStarredRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsGetEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-};
-type GistsGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsUpdateEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * A descriptive name for this gist.
-   */
-  description?: string;
-  /**
-   * The filenames and content that make up this gist.
-   */
-  files?: GistsUpdateParamsFiles;
-};
-type GistsUpdateRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsDeleteEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-};
-type GistsDeleteRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsListCommentsEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type GistsListCommentsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsCreateCommentEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * The comment text.
-   */
-  body: string;
-};
-type GistsCreateCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsGetCommentEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-};
-type GistsGetCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsUpdateCommentEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * The comment text.
-   */
-  body: string;
-};
-type GistsUpdateCommentRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsDeleteCommentEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-};
-type GistsDeleteCommentRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsListCommitsEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type GistsListCommitsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsForkEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-};
-type GistsForkRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsListForksEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type GistsListForksRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsStarEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-};
-type GistsStarRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsUnstarEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-};
-type GistsUnstarRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsCheckIsStarredEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-};
-type GistsCheckIsStarredRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsGetRevisionEndpoint = {
-  /**
-   * gist_id parameter
-   */
-  gist_id: string;
-  /**
-   * sha parameter
-   */
-  sha: string;
-};
-type GistsGetRevisionRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitignoreListTemplatesEndpoint = {};
-type GitignoreListTemplatesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitignoreGetTemplateEndpoint = {
-  /**
-   * name parameter
-   */
-  name: string;
-};
-type GitignoreGetTemplateRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListReposEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListReposRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsRevokeInstallationTokenEndpoint = {};
-type AppsRevokeInstallationTokenRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListEndpoint = {
-  /**
-   * Indicates which sorts of issues to return. Can be one of:
-   * \* `assigned`: Issues assigned to you
-   * \* `created`: Issues created by you
-   * \* `mentioned`: Issues mentioning you
-   * \* `subscribed`: Issues you're subscribed to updates for
-   * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-   */
-  filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-  /**
-   * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * A list of comma separated label names. Example: `bug,ui,@high`
-   */
-  labels?: string;
-  /**
-   * What to sort results by. Can be either `created`, `updated`, `comments`.
-   */
-  sort?: "created" | "updated" | "comments";
-  /**
-   * The direction of the sort. Can be either `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchIssuesLegacyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repository parameter
-   */
-  repository: string;
-  /**
-   * Indicates the state of the issues to return. Can be either `open` or `closed`.
-   */
-  state: "open" | "closed";
-  /**
-   * The search term.
-   */
-  keyword: string;
-};
-type SearchIssuesLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchReposLegacyEndpoint = {
-  /**
-   * The search term.
-   */
-  keyword: string;
-  /**
-   * Filter results by language.
-   */
-  language?: string;
-  /**
-   * The page number to fetch.
-   */
-  start_page?: string;
-  /**
-   * The sort field. One of `stars`, `forks`, or `updated`. Default: results are sorted by best match.
-   */
-  sort?: "stars" | "forks" | "updated";
-  /**
-   * The sort field. if `sort` param is provided. Can be either `asc` or `desc`.
-   */
-  order?: "asc" | "desc";
-};
-type SearchReposLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchEmailLegacyEndpoint = {
-  /**
-   * The email address.
-   */
-  email: string;
-};
-type SearchEmailLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchUsersLegacyEndpoint = {
-  /**
-   * The search term.
-   */
-  keyword: string;
-  /**
-   * The page number to fetch.
-   */
-  start_page?: string;
-  /**
-   * The sort field. One of `stars`, `forks`, or `updated`. Default: results are sorted by best match.
-   */
-  sort?: "stars" | "forks" | "updated";
-  /**
-   * The sort field. if `sort` param is provided. Can be either `asc` or `desc`.
-   */
-  order?: "asc" | "desc";
-};
-type SearchUsersLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type LicensesListCommonlyUsedEndpoint = {};
-type LicensesListCommonlyUsedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type LicensesListEndpoint = {};
-type LicensesListRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type LicensesGetEndpoint = {
-  /**
-   * license parameter
-   */
-  license: string;
-};
-type LicensesGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MarkdownRenderEndpoint = {
-  /**
-   * The Markdown text to render in HTML. Markdown content must be 400 KB or less.
-   */
-  text: string;
-  /**
-   * The rendering mode. Can be either:
-   * \* `markdown` to render a document in plain Markdown, just like README.md files are rendered.
-   * \* `gfm` to render a document in [GitHub Flavored Markdown](https://github.github.com/gfm/), which creates links for user mentions as well as references to SHA-1 hashes, issues, and pull requests.
-   */
-  mode?: "markdown" | "gfm";
-  /**
-   * The repository context to use when creating references in `gfm` mode. Omit this parameter when using `markdown` mode.
-   */
-  context?: string;
-};
-type MarkdownRenderRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MarkdownRenderRawEndpoint = {
-  /**
-   * data parameter
-   */
-  data: string;
-};
-type MarkdownRenderRawRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsCheckAccountIsAssociatedWithAnyEndpoint = {
-  /**
-   * account_id parameter
-   */
-  account_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsCheckAccountIsAssociatedWithAnyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListPlansEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListPlansRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListAccountsUserOrOrgOnPlanEndpoint = {
-  /**
-   * plan_id parameter
-   */
-  plan_id: number;
-  /**
-   * Sorts the GitHub accounts by the date they were created or last updated. Can be one of `created` or `updated`.
-   */
-  sort?: "created" | "updated";
-  /**
-   * To return the oldest accounts first, set to `asc`. Can be one of `asc` or `desc`. Ignored without the `sort` parameter.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListAccountsUserOrOrgOnPlanRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsCheckAccountIsAssociatedWithAnyStubbedEndpoint = {
-  /**
-   * account_id parameter
-   */
-  account_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsCheckAccountIsAssociatedWithAnyStubbedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListPlansStubbedEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListPlansStubbedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListAccountsUserOrOrgOnPlanStubbedEndpoint = {
-  /**
-   * plan_id parameter
-   */
-  plan_id: number;
-  /**
-   * Sorts the GitHub accounts by the date they were created or last updated. Can be one of `created` or `updated`.
-   */
-  sort?: "created" | "updated";
-  /**
-   * To return the oldest accounts first, set to `asc`. Can be one of `asc` or `desc`. Ignored without the `sort` parameter.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListAccountsUserOrOrgOnPlanStubbedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MetaGetEndpoint = {};
-type MetaGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListPublicEventsForRepoNetworkEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListPublicEventsForRepoNetworkRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListNotificationsEndpoint = {
-  /**
-   * If `true`, show notifications marked as read.
-   */
-  all?: boolean;
-  /**
-   * If `true`, only shows notifications in which the user is directly participating or mentioned.
-   */
-  participating?: boolean;
-  /**
-   * Only show notifications updated after the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-  /**
-   * Only show notifications updated before the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  before?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListNotificationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityMarkAsReadEndpoint = {
-  /**
-   * Describes the last point that notifications were checked. Anything updated since this time will not be updated. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Default: The current timestamp.
-   */
-  last_read_at?: string;
-};
-type ActivityMarkAsReadRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityGetThreadEndpoint = {
-  /**
-   * thread_id parameter
-   */
-  thread_id: number;
-};
-type ActivityGetThreadRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityMarkThreadAsReadEndpoint = {
-  /**
-   * thread_id parameter
-   */
-  thread_id: number;
-};
-type ActivityMarkThreadAsReadRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityGetThreadSubscriptionEndpoint = {
-  /**
-   * thread_id parameter
-   */
-  thread_id: number;
-};
-type ActivityGetThreadSubscriptionRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivitySetThreadSubscriptionEndpoint = {
-  /**
-   * thread_id parameter
-   */
-  thread_id: number;
-  /**
-   * Unsubscribes and subscribes you to a conversation. Set `ignored` to `true` to block all notifications from this thread.
-   */
-  ignored?: boolean;
-};
-type ActivitySetThreadSubscriptionRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityDeleteThreadSubscriptionEndpoint = {
-  /**
-   * thread_id parameter
-   */
-  thread_id: number;
-};
-type ActivityDeleteThreadSubscriptionRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListEndpoint = {
-  /**
-   * The integer ID of the last Organization that you've seen.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsGetEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type OrgsGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsUpdateEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Billing email address. This address is not publicized.
-   */
-  billing_email?: string;
-  /**
-   * The company name.
-   */
-  company?: string;
-  /**
-   * The publicly visible email address.
-   */
-  email?: string;
-  /**
-   * The location.
-   */
-  location?: string;
-  /**
-   * The shorthand name of the company.
-   */
-  name?: string;
-  /**
-   * The description of the company.
-   */
-  description?: string;
-  /**
-   * Toggles whether an organization can use organization projects.
-   */
-  has_organization_projects?: boolean;
-  /**
-   * Toggles whether repositories that belong to the organization can use repository projects.
-   */
-  has_repository_projects?: boolean;
-  /**
-   * Default permission level members have for organization repositories:
-   * \* `read` - can pull, but not push to or administer this repository.
-   * \* `write` - can pull and push, but not administer this repository.
-   * \* `admin` - can pull, push, and administer this repository.
-   * \* `none` - no permissions granted by default.
-   */
-  default_repository_permission?: "read" | "write" | "admin" | "none";
-  /**
-   * Toggles the ability of non-admin organization members to create repositories. Can be one of:
-   * \* `true` - all organization members can create repositories.
-   * \* `false` - only organization owners can create repositories.
-   * Default: `true`
-   * **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details. **Note:** A parameter can override this parameter. See `members_allowed_repository_creation_type` in this table for details.
-   */
-  members_can_create_repositories?: boolean;
-  /**
-   * Toggles whether organization members can create internal repositories, which are visible to all enterprise members. You can only allow members to create internal repositories if your organization is associated with an enterprise account using GitHub Enterprise Cloud. Can be one of:
-   * \* `true` - all organization members can create internal repositories.
-   * \* `false` - only organization owners can create internal repositories.
-   * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-   */
-  members_can_create_internal_repositories?: boolean;
-  /**
-   * Toggles whether organization members can create private repositories, which are visible to organization members with permission. Can be one of:
-   * \* `true` - all organization members can create private repositories.
-   * \* `false` - only organization owners can create private repositories.
-   * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-   */
-  members_can_create_private_repositories?: boolean;
-  /**
-   * Toggles whether organization members can create public repositories, which are visible to anyone. Can be one of:
-   * \* `true` - all organization members can create public repositories.
-   * \* `false` - only organization owners can create public repositories.
-   * Default: `true`. For more information, see "[Restricting repository creation in your organization](https://help.github.com/github/setting-up-and-managing-organizations-and-teams/restricting-repository-creation-in-your-organization)" in the GitHub Help documentation.
-   */
-  members_can_create_public_repositories?: boolean;
-  /**
-   * Specifies which types of repositories non-admin organization members can create. Can be one of:
-   * \* `all` - all organization members can create public and private repositories.
-   * \* `private` - members can create private repositories. This option is only available to repositories that are part of an organization on GitHub Enterprise Cloud.
-   * \* `none` - only admin members can create repositories.
-   * **Note:** This parameter is deprecated and will be removed in the future. Its return value ignores internal repositories. Using this parameter overrides values set in `members_can_create_repositories`. See [this note](https://developer.github.com/v3/orgs/#members_can_create_repositories) for details.
-   */
-  members_allowed_repository_creation_type?: "all" | "private" | "none";
-};
-type OrgsUpdateRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListBlockedUsersEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type OrgsListBlockedUsersRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsCheckBlockedUserEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsCheckBlockedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsBlockUserEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsBlockUserRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsUnblockUserEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsUnblockUserRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListCredentialAuthorizationsEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type OrgsListCredentialAuthorizationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsRemoveCredentialAuthorizationEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * credential_id parameter
-   */
-  credential_id: number;
-};
-type OrgsRemoveCredentialAuthorizationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListPublicEventsForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListPublicEventsForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListHooksEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListHooksRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsCreateHookEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Must be passed as "web".
-   */
-  name: string;
-  /**
-   * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/orgs/hooks/#create-hook-config-params).
-   */
-  config: OrgsCreateHookParamsConfig;
-  /**
-   * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-   */
-  events?: string[];
-  /**
-   * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-   */
-  active?: boolean;
-};
-type OrgsCreateHookRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsGetHookEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-};
-type OrgsGetHookRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsUpdateHookEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-  /**
-   * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/orgs/hooks/#update-hook-config-params).
-   */
-  config?: OrgsUpdateHookParamsConfig;
-  /**
-   * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-   */
-  events?: string[];
-  /**
-   * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-   */
-  active?: boolean;
-};
-type OrgsUpdateHookRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsDeleteHookEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-};
-type OrgsDeleteHookRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsPingHookEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-};
-type OrgsPingHookRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsGetOrgInstallationEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type AppsGetOrgInstallationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsFindOrgInstallationEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type AppsFindOrgInstallationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListInstallationsEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListInstallationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type InteractionsGetRestrictionsForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type InteractionsGetRestrictionsForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type InteractionsAddOrUpdateRestrictionsForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Specifies the group of GitHub users who can comment, open issues, or create pull requests in public repositories for the given organization. Must be one of: `existing_users`, `contributors_only`, or `collaborators_only`.
-   */
-  limit: "existing_users" | "contributors_only" | "collaborators_only";
-};
-type InteractionsAddOrUpdateRestrictionsForOrgRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type InteractionsRemoveRestrictionsForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type InteractionsRemoveRestrictionsForOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListPendingInvitationsEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListPendingInvitationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsCreateInvitationEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * **Required unless you provide `email`**. GitHub user ID for the person you are inviting.
-   */
-  invitee_id?: number;
-  /**
-   * **Required unless you provide `invitee_id`**. Email address of the person you are inviting, which can be an existing GitHub user.
-   */
-  email?: string;
-  /**
-   * Specify role for new member. Can be one of:
-   * \* `admin` - Organization owners with full administrative rights to the organization and complete access to all repositories and teams.
-   * \* `direct_member` - Non-owner organization members with ability to see other members and join teams by invitation.
-   * \* `billing_manager` - Non-owner organization members with ability to manage the billing settings of your organization.
-   */
-  role?: "admin" | "direct_member" | "billing_manager";
-  /**
-   * Specify IDs for the teams you want to invite new members to.
-   */
-  team_ids?: number[];
-};
-type OrgsCreateInvitationRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListInvitationTeamsEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * invitation_id parameter
-   */
-  invitation_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListInvitationTeamsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Indicates which sorts of issues to return. Can be one of:
-   * \* `assigned`: Issues assigned to you
-   * \* `created`: Issues created by you
-   * \* `mentioned`: Issues mentioning you
-   * \* `subscribed`: Issues you're subscribed to updates for
-   * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-   */
-  filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-  /**
-   * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * A list of comma separated label names. Example: `bug,ui,@high`
-   */
-  labels?: string;
-  /**
-   * What to sort results by. Can be either `created`, `updated`, `comments`.
-   */
-  sort?: "created" | "updated" | "comments";
-  /**
-   * The direction of the sort. Can be either `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListMembersEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Filter members returned in the list. Can be one of:
-   * \* `2fa_disabled` - Members without [two-factor authentication](https://github.com/blog/1614-two-factor-authentication) enabled. Available for organization owners.
-   * \* `all` - All members the authenticated user can see.
-   */
-  filter?: "2fa_disabled" | "all";
-  /**
-   * Filter members returned by their role. Can be one of:
-   * \* `all` - All members of the organization, regardless of role.
-   * \* `admin` - Organization owners.
-   * \* `member` - Non-owner organization members.
-   */
-  role?: "all" | "admin" | "member";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListMembersRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsCheckMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsCheckMembershipRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsRemoveMemberEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsRemoveMemberRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsGetMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsGetMembershipRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsAddOrUpdateMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * The role to give the user in the organization. Can be one of:
-   * \* `admin` - The user will become an owner of the organization.
-   * \* `member` - The user will become a non-owner member of the organization.
-   */
-  role?: "admin" | "member";
-};
-type OrgsAddOrUpdateMembershipRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsRemoveMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsRemoveMembershipRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsStartForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * A list of arrays indicating which repositories should be migrated.
-   */
-  repositories: string[];
-  /**
-   * Indicates whether repositories should be locked (to prevent manipulation) while migrating data.
-   */
-  lock_repositories?: boolean;
-  /**
-   * Indicates whether attachments should be excluded from the migration (to reduce migration archive file size).
-   */
-  exclude_attachments?: boolean;
-};
-type MigrationsStartForOrgRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsListForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type MigrationsListForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsGetStatusForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-};
-type MigrationsGetStatusForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsGetArchiveForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-};
-type MigrationsGetArchiveForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsDeleteArchiveForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-};
-type MigrationsDeleteArchiveForOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsUnlockRepoForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-  /**
-   * repo_name parameter
-   */
-  repo_name: string;
-};
-type MigrationsUnlockRepoForOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsListReposForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type MigrationsListReposForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListOutsideCollaboratorsEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Filter the list of outside collaborators. Can be one of:
-   * \* `2fa_disabled`: Outside collaborators without [two-factor authentication](https://github.com/blog/1614-two-factor-authentication) enabled.
-   * \* `all`: All outside collaborators.
-   */
-  filter?: "2fa_disabled" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListOutsideCollaboratorsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsRemoveOutsideCollaboratorEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsRemoveOutsideCollaboratorRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsConvertMemberToOutsideCollaboratorEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsConvertMemberToOutsideCollaboratorRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsListForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ProjectsListForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsCreateForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * The name of the project.
-   */
-  name: string;
-  /**
-   * The description of the project.
-   */
-  body?: string;
-};
-type ProjectsCreateForOrgRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListPublicMembersEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListPublicMembersRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsCheckPublicMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsCheckPublicMembershipRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsPublicizeMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsPublicizeMembershipRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsConcealMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type OrgsConcealMembershipRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Specifies the types of repositories you want returned. Can be one of `all`, `public`, `private`, `forks`, `sources`, `member`, `internal`. Default: `all`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `type` can also be `internal`.
-   */
-  type?:
-    | "all"
-    | "public"
-    | "private"
-    | "forks"
-    | "sources"
-    | "member"
-    | "internal";
-  /**
-   * Can be one of `created`, `updated`, `pushed`, `full_name`.
-   */
-  sort?: "created" | "updated" | "pushed" | "full_name";
-  /**
-   * Can be one of `asc` or `desc`. Default: when using `full_name`: `asc`, otherwise `desc`
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * The name of the repository.
-   */
-  name: string;
-  /**
-   * A short description of the repository.
-   */
-  description?: string;
-  /**
-   * A URL with more information about the repository.
-   */
-  homepage?: string;
-  /**
-   * Either `true` to create a private repository or `false` to create a public one. Creating private repositories requires a paid GitHub account.
-   */
-  private?: boolean;
-  /**
-   * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. For more information, see "[Creating an internal repository](https://help.github.com/github/creating-cloning-and-archiving-repositories/creating-an-internal-repository)" in the GitHub Help documentation.
-   * The `visibility` parameter overrides the `private` parameter when you use both parameters with the `nebula-preview` preview header.
-   */
-  visibility?: "public" | "private" | "visibility" | "internal";
-  /**
-   * Either `true` to enable issues for this repository or `false` to disable them.
-   */
-  has_issues?: boolean;
-  /**
-   * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-   */
-  has_projects?: boolean;
-  /**
-   * Either `true` to enable the wiki for this repository or `false` to disable it.
-   */
-  has_wiki?: boolean;
-  /**
-   * Either `true` to make this repo available as a template repository or `false` to prevent it.
-   */
-  is_template?: boolean;
-  /**
-   * The id of the team that will be granted access to this repository. This is only valid when creating a repository in an organization.
-   */
-  team_id?: number;
-  /**
-   * Pass `true` to create an initial commit with empty README.
-   */
-  auto_init?: boolean;
-  /**
-   * Desired language or platform [.gitignore template](https://github.com/github/gitignore) to apply. Use the name of the template without the extension. For example, "Haskell".
-   */
-  gitignore_template?: string;
-  /**
-   * Choose an [open source license template](https://choosealicense.com/) that best suits your needs, and then use the [license keyword](https://help.github.com/articles/licensing-a-repository/#searching-github-by-license-type) as the `license_template` string. For example, "mit" or "mpl-2.0".
-   */
-  license_template?: string;
-  /**
-   * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-   */
-  allow_squash_merge?: boolean;
-  /**
-   * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-   */
-  allow_merge_commit?: boolean;
-  /**
-   * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-   */
-  allow_rebase_merge?: boolean;
-  /**
-   * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-   */
-  delete_branch_on_merge?: boolean;
-};
-type ReposCreateInOrgRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListIdPGroupsForOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListIdPGroupsForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * The name of the team.
-   */
-  name: string;
-  /**
-   * The description of the team.
-   */
-  description?: string;
-  /**
-   * List GitHub IDs for organization members who will become team maintainers.
-   */
-  maintainers?: string[];
-  /**
-   * The full name (e.g., "organization-name/repository-name") of repositories to add the team to.
-   */
-  repo_names?: string[];
-  /**
-   * The level of privacy this team should have. The options are:
-   * **For a non-nested team:**
-   * \* `secret` - only visible to organization owners and members of this team.
-   * \* `closed` - visible to all members of this organization.
-   * Default: `secret`
-   * **For a parent or child team:**
-   * \* `closed` - visible to all members of this organization.
-   * Default for child team: `closed`
-   */
-  privacy?: "secret" | "closed";
-  /**
-   * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-   * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-   * \* `push` - team members can pull and push, but not administer newly-added repositories.
-   * \* `admin` - team members can pull, push and administer newly-added repositories.
-   */
-  permission?: "pull" | "push" | "admin";
-  /**
-   * The ID of a team to set as the parent team.
-   */
-  parent_team_id?: number;
-};
-type TeamsCreateRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetByNameEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-};
-type TeamsGetByNameRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * The name of the team.
-   */
-  name: string;
-  /**
-   * The description of the team.
-   */
-  description?: string;
-  /**
-   * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. When a team is nested, the `privacy` for parent teams cannot be `secret`. The options are:
-   * **For a non-nested team:**
-   * \* `secret` - only visible to organization owners and members of this team.
-   * \* `closed` - visible to all members of this organization.
-   * **For a parent or child team:**
-   * \* `closed` - visible to all members of this organization.
-   */
-  privacy?: "secret" | "closed";
-  /**
-   * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-   * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-   * \* `push` - team members can pull and push, but not administer newly-added repositories.
-   * \* `admin` - team members can pull, push and administer newly-added repositories.
-   */
-  permission?: "pull" | "push" | "admin";
-  /**
-   * The ID of a team to set as the parent team.
-   */
-  parent_team_id?: number;
-};
-type TeamsUpdateInOrgRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-};
-type TeamsDeleteInOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListDiscussionsInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListDiscussionsInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateDiscussionInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * The discussion post's title.
-   */
-  title: string;
-  /**
-   * The discussion post's body text.
-   */
-  body: string;
-  /**
-   * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-   */
-  private?: boolean;
-};
-type TeamsCreateDiscussionInOrgRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetDiscussionInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-};
-type TeamsGetDiscussionInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateDiscussionInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The discussion post's title.
-   */
-  title?: string;
-  /**
-   * The discussion post's body text.
-   */
-  body?: string;
-};
-type TeamsUpdateDiscussionInOrgRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteDiscussionInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-};
-type TeamsDeleteDiscussionInOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListDiscussionCommentsInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListDiscussionCommentsInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateDiscussionCommentInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The discussion comment's body text.
-   */
-  body: string;
-};
-type TeamsCreateDiscussionCommentInOrgRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetDiscussionCommentInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-};
-type TeamsGetDiscussionCommentInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateDiscussionCommentInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * The discussion comment's body text.
-   */
-  body: string;
-};
-type TeamsUpdateDiscussionCommentInOrgRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteDiscussionCommentInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-};
-type TeamsDeleteDiscussionCommentInOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForTeamDiscussionCommentInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForTeamDiscussionCommentInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForTeamDiscussionCommentInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForTeamDiscussionCommentInOrgRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForTeamDiscussionInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForTeamDiscussionInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForTeamDiscussionInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForTeamDiscussionInOrgRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListPendingInvitationsInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListPendingInvitationsInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListMembersInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * Filters members returned by their role in the team. Can be one of:
-   * \* `member` - normal members of the team.
-   * \* `maintainer` - team maintainers.
-   * \* `all` - all members of the team.
-   */
-  role?: "member" | "maintainer" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListMembersInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetMembershipInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsGetMembershipInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateMembershipInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * The role that this user should have in the team. Can be one of:
-   * \* `member` - a normal member of the team.
-   * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-   */
-  role?: "member" | "maintainer";
-};
-type TeamsAddOrUpdateMembershipInOrgRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveMembershipInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsRemoveMembershipInOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListProjectsInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListProjectsInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsReviewProjectInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-};
-type TeamsReviewProjectInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateProjectInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * The permission to grant to the team for this project. Can be one of:
-   * \* `read` - team members can read, but not write to or administer this project.
-   * \* `write` - team members can read and write, but not administer this project.
-   * \* `admin` - team members can read, write and administer this project.
-   * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-   */
-  permission?: "read" | "write" | "admin";
-};
-type TeamsAddOrUpdateProjectInOrgRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveProjectInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-};
-type TeamsRemoveProjectInOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListReposInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListReposInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCheckManagesRepoInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type TeamsCheckManagesRepoInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateRepoInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The permission to grant the team on this repository. Can be one of:
-   * \* `pull` - team members can pull, but not push to or administer this repository.
-   * \* `push` - team members can pull and push, but not administer this repository.
-   * \* `admin` - team members can pull, push and administer this repository.
-   *
-   * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-   */
-  permission?: "pull" | "push" | "admin";
-};
-type TeamsAddOrUpdateRepoInOrgRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveRepoInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type TeamsRemoveRepoInOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListIdPGroupsInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-};
-type TeamsListIdPGroupsInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateOrUpdateIdPGroupConnectionsInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * The IdP groups you want to connect to a GitHub team. When updating, the new `groups` object will replace the original one. You must include any existing groups that you don't want to remove.
-   */
-  groups: TeamsCreateOrUpdateIdPGroupConnectionsInOrgParamsGroups[];
-};
-type TeamsCreateOrUpdateIdPGroupConnectionsInOrgRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListChildInOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * team_slug parameter
-   */
-  team_slug: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListChildInOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsGetCardEndpoint = {
-  /**
-   * card_id parameter
-   */
-  card_id: number;
-};
-type ProjectsGetCardRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsUpdateCardEndpoint = {
-  /**
-   * card_id parameter
-   */
-  card_id: number;
-  /**
-   * The card's note content. Only valid for cards without another type of content, so this cannot be specified if the card already has a `content_id` and `content_type`.
-   */
-  note?: string;
-  /**
-   * Use `true` to archive a project card. Specify `false` if you need to restore a previously archived project card.
-   */
-  archived?: boolean;
-};
-type ProjectsUpdateCardRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsDeleteCardEndpoint = {
-  /**
-   * card_id parameter
-   */
-  card_id: number;
-};
-type ProjectsDeleteCardRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsMoveCardEndpoint = {
-  /**
-   * card_id parameter
-   */
-  card_id: number;
-  /**
-   * Can be one of `top`, `bottom`, or `after:<card_id>`, where `<card_id>` is the `id` value of a card in the same column, or in the new column specified by `column_id`.
-   */
-  position: string;
-  /**
-   * The `id` value of a column in the same project.
-   */
-  column_id?: number;
-};
-type ProjectsMoveCardRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsGetColumnEndpoint = {
-  /**
-   * column_id parameter
-   */
-  column_id: number;
-};
-type ProjectsGetColumnRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsUpdateColumnEndpoint = {
-  /**
-   * column_id parameter
-   */
-  column_id: number;
-  /**
-   * The new name of the column.
-   */
-  name: string;
-};
-type ProjectsUpdateColumnRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsDeleteColumnEndpoint = {
-  /**
-   * column_id parameter
-   */
-  column_id: number;
-};
-type ProjectsDeleteColumnRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsListCardsEndpoint = {
-  /**
-   * column_id parameter
-   */
-  column_id: number;
-  /**
-   * Filters the project cards that are returned by the card's state. Can be one of `all`,`archived`, or `not_archived`.
-   */
-  archived_state?: "all" | "archived" | "not_archived";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ProjectsListCardsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsCreateCardEndpoint = {
-  /**
-   * column_id parameter
-   */
-  column_id: number;
-  /**
-   * The card's note content. Only valid for cards without another type of content, so you must omit when specifying `content_id` and `content_type`.
-   */
-  note?: string;
-  /**
-   * The issue or pull request id you want to associate with this card. You can use the [List issues for a repository](https://developer.github.com/v3/issues/#list-issues-for-a-repository) and [List pull requests](https://developer.github.com/v3/pulls/#list-pull-requests) endpoints to find this id.
-   * **Note:** Depending on whether you use the issue id or pull request id, you will need to specify `Issue` or `PullRequest` as the `content_type`.
-   */
-  content_id?: number;
-  /**
-   * **Required if you provide `content_id`**. The type of content you want to associate with this card. Use `Issue` when `content_id` is an issue id and use `PullRequest` when `content_id` is a pull request id.
-   */
-  content_type?: string;
-};
-type ProjectsCreateCardRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsMoveColumnEndpoint = {
-  /**
-   * column_id parameter
-   */
-  column_id: number;
-  /**
-   * Can be one of `first`, `last`, or `after:<column_id>`, where `<column_id>` is the `id` value of a column in the same project.
-   */
-  position: string;
-};
-type ProjectsMoveColumnRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsGetEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ProjectsGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsUpdateEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * The name of the project.
-   */
-  name?: string;
-  /**
-   * The description of the project.
-   */
-  body?: string;
-  /**
-   * State of the project. Either `open` or `closed`.
-   */
-  state?: "open" | "closed";
-  /**
-   * The permission level that determines whether all members of the project's organization can see and/or make changes to the project. Setting `organization_permission` is only available for organization projects. If an organization member belongs to a team with a higher level of access or is a collaborator with a higher level of access, their permission level is not lowered by `organization_permission`. For information on changing access for a team or collaborator, see [Add or update team project](https://developer.github.com/v3/teams/#add-or-update-team-project) or [Add user as a collaborator](https://developer.github.com/v3/projects/collaborators/#add-user-as-a-collaborator).
-   *
-   * **Note:** Updating a project's `organization_permission` requires `admin` access to the project.
-   *
-   * Can be one of:
-   * \* `read` - Organization members can read, but not write to or administer this project.
-   * \* `write` - Organization members can read and write, but not administer this project.
-   * \* `admin` - Organization members can read, write and administer this project.
-   * \* `none` - Organization members can only see this project if it is public.
-   */
-  organization_permission?: string;
-  /**
-   * Sets the visibility of a project board. Setting `private` is only available for organization and user projects. **Note:** Updating a project's visibility requires `admin` access to the project.
-   *
-   * Can be one of:
-   * \* `false` - Anyone can see the project.
-   * \* `true` - Only the user can view a project board created on a user account. Organization members with the appropriate `organization_permission` can see project boards in an organization account.
-   */
-  private?: boolean;
-};
-type ProjectsUpdateRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsDeleteEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-};
-type ProjectsDeleteRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsListCollaboratorsEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * Filters the collaborators by their affiliation. Can be one of:
-   * \* `outside`: Outside collaborators of a project that are not a member of the project's organization.
-   * \* `direct`: Collaborators with permissions to a project, regardless of organization membership status.
-   * \* `all`: All collaborators the authenticated user can see.
-   */
-  affiliation?: "outside" | "direct" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ProjectsListCollaboratorsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsAddCollaboratorEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * The permission to grant the collaborator. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)." Can be one of:
-   * \* `read` - can read, but not write to or administer this project.
-   * \* `write` - can read and write, but not administer this project.
-   * \* `admin` - can read, write and administer this project.
-   */
-  permission?: "read" | "write" | "admin";
-};
-type ProjectsAddCollaboratorRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsRemoveCollaboratorEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type ProjectsRemoveCollaboratorRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsReviewUserPermissionLevelEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type ProjectsReviewUserPermissionLevelRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsListColumnsEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ProjectsListColumnsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsCreateColumnEndpoint = {
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * The name of the column.
-   */
-  name: string;
-};
-type ProjectsCreateColumnRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type RateLimitGetEndpoint = {};
-type RateLimitGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsDeleteEndpoint = {
-  /**
-   * reaction_id parameter
-   */
-  reaction_id: number;
-};
-type ReactionsDeleteRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The name of the repository.
-   */
-  name?: string;
-  /**
-   * A short description of the repository.
-   */
-  description?: string;
-  /**
-   * A URL with more information about the repository.
-   */
-  homepage?: string;
-  /**
-   * Either `true` to make the repository private or `false` to make it public. Creating private repositories requires a paid GitHub account. Default: `false`.
-   * **Note**: You will get a `422` error if the organization restricts [changing repository visibility](https://help.github.com/articles/repository-permission-levels-for-an-organization#changing-the-visibility-of-repositories) to organization owners and a non-owner tries to change the value of private. **Note**: You will get a `422` error if the organization restricts [changing repository visibility](https://help.github.com/articles/repository-permission-levels-for-an-organization#changing-the-visibility-of-repositories) to organization owners and a non-owner tries to change the value of private.
-   */
-  private?: boolean;
-  /**
-   * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. The `visibility` parameter overrides the `private` parameter when you use both along with the `nebula-preview` preview header.
-   */
-  visibility?: "public" | "private" | "visibility" | "internal";
-  /**
-   * Either `true` to enable issues for this repository or `false` to disable them.
-   */
-  has_issues?: boolean;
-  /**
-   * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-   */
-  has_projects?: boolean;
-  /**
-   * Either `true` to enable the wiki for this repository or `false` to disable it.
-   */
-  has_wiki?: boolean;
-  /**
-   * Either `true` to make this repo available as a template repository or `false` to prevent it.
-   */
-  is_template?: boolean;
-  /**
-   * Updates the default branch for this repository.
-   */
-  default_branch?: string;
-  /**
-   * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-   */
-  allow_squash_merge?: boolean;
-  /**
-   * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-   */
-  allow_merge_commit?: boolean;
-  /**
-   * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-   */
-  allow_rebase_merge?: boolean;
-  /**
-   * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-   */
-  delete_branch_on_merge?: boolean;
-  /**
-   * `true` to archive this repository. **Note**: You cannot unarchive repositories through the API.
-   */
-  archived?: boolean;
-};
-type ReposUpdateRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeleteEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposDeleteRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListAssigneesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListAssigneesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesCheckAssigneeEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * assignee parameter
-   */
-  assignee: string;
-};
-type IssuesCheckAssigneeRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposEnableAutomatedSecurityFixesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposEnableAutomatedSecurityFixesRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDisableAutomatedSecurityFixesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposDisableAutomatedSecurityFixesRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListBranchesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Setting to `true` returns only protected branches. When set to `false`, only unprotected branches are returned. Omitting this parameter returns all branches.
-   */
-  protected?: boolean;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListBranchesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetBranchEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetBranchRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetBranchProtectionEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetBranchProtectionRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateBranchProtectionEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * Require status checks to pass before merging. Set to `null` to disable.
-   */
-  required_status_checks: ReposUpdateBranchProtectionParamsRequiredStatusChecks | null;
-  /**
-   * Enforce all configured restrictions for administrators. Set to `true` to enforce required status checks for repository administrators. Set to `null` to disable.
-   */
-  enforce_admins: boolean | null;
-  /**
-   * Require at least one approving review on a pull request, before merging. Set to `null` to disable.
-   */
-  required_pull_request_reviews: ReposUpdateBranchProtectionParamsRequiredPullRequestReviews | null;
-  /**
-   * Restrict who can push to the protected branch. User, app, and team `restrictions` are only available for organization-owned repositories. Set to `null` to disable.
-   */
-  restrictions: ReposUpdateBranchProtectionParamsRestrictions | null;
-  /**
-   * Enforces a linear commit Git history, which prevents anyone from pushing merge commits to a branch. Set to `true` to enforce a linear commit history. Set to `false` to disable a linear commit Git history. Your repository must allow squash merging or rebase merging before you can enable a linear commit history. Default: `false`. For more information, see "[Requiring a linear commit history](https://help.github.com/github/administering-a-repository/requiring-a-linear-commit-history)" in the GitHub Help documentation.
-   */
-  required_linear_history?: boolean;
-  /**
-   * Permits force pushes to the protected branch by anyone with write access to the repository. Set to `true` to allow force pushes. Set to `false` or `null` to block force pushes. Default: `false`. For more information, see "[Enabling force pushes to a protected branch](https://help.github.com/en/github/administering-a-repository/enabling-force-pushes-to-a-protected-branch)" in the GitHub Help documentation."
-   */
-  allow_force_pushes?: boolean | null;
-  /**
-   * Allows deletion of the protected branch by anyone with write access to the repository. Set to `false` to prevent deletion of the protected branch. Default: `false`. For more information, see "[Enabling force pushes to a protected branch](https://help.github.com/en/github/administering-a-repository/enabling-force-pushes-to-a-protected-branch)" in the GitHub Help documentation.
-   */
-  allow_deletions?: boolean;
-};
-type ReposUpdateBranchProtectionRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveBranchProtectionEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposRemoveBranchProtectionRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetProtectedBranchAdminEnforcementEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetProtectedBranchAdminEnforcementRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAddProtectedBranchAdminEnforcementEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposAddProtectedBranchAdminEnforcementRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchAdminEnforcementEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposRemoveProtectedBranchAdminEnforcementRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetProtectedBranchPullRequestReviewEnforcementEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetProtectedBranchPullRequestReviewEnforcementRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateProtectedBranchPullRequestReviewEnforcementEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * Specify which users and teams can dismiss pull request reviews. Pass an empty `dismissal_restrictions` object to disable. User and team `dismissal_restrictions` are only available for organization-owned repositories. Omit this parameter for personal repositories.
-   */
-  dismissal_restrictions?: ReposUpdateProtectedBranchPullRequestReviewEnforcementParamsDismissalRestrictions;
-  /**
-   * Set to `true` if you want to automatically dismiss approving reviews when someone pushes a new commit.
-   */
-  dismiss_stale_reviews?: boolean;
-  /**
-   * Blocks merging pull requests until [code owners](https://help.github.com/articles/about-code-owners/) have reviewed.
-   */
-  require_code_owner_reviews?: boolean;
-  /**
-   * Specifies the number of reviewers required to approve pull requests. Use a number between 1 and 6.
-   */
-  required_approving_review_count?: number;
-};
-type ReposUpdateProtectedBranchPullRequestReviewEnforcementRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchPullRequestReviewEnforcementEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposRemoveProtectedBranchPullRequestReviewEnforcementRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetProtectedBranchRequiredSignaturesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetProtectedBranchRequiredSignaturesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAddProtectedBranchRequiredSignaturesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposAddProtectedBranchRequiredSignaturesRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchRequiredSignaturesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposRemoveProtectedBranchRequiredSignaturesRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetProtectedBranchRequiredStatusChecksEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetProtectedBranchRequiredStatusChecksRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateProtectedBranchRequiredStatusChecksEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * Require branches to be up to date before merging.
-   */
-  strict?: boolean;
-  /**
-   * The list of status checks to require in order to merge into this branch
-   */
-  contexts?: string[];
-};
-type ReposUpdateProtectedBranchRequiredStatusChecksRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchRequiredStatusChecksEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposRemoveProtectedBranchRequiredStatusChecksRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListProtectedBranchRequiredStatusChecksContextsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposListProtectedBranchRequiredStatusChecksContextsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposReplaceProtectedBranchRequiredStatusChecksContextsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * contexts parameter
-   */
-  contexts: string[];
-};
-type ReposReplaceProtectedBranchRequiredStatusChecksContextsRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAddProtectedBranchRequiredStatusChecksContextsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * contexts parameter
-   */
-  contexts: string[];
-};
-type ReposAddProtectedBranchRequiredStatusChecksContextsRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchRequiredStatusChecksContextsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * contexts parameter
-   */
-  contexts: string[];
-};
-type ReposRemoveProtectedBranchRequiredStatusChecksContextsRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetProtectedBranchRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetProtectedBranchRestrictionsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposRemoveProtectedBranchRestrictionsRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetAppsWithAccessToProtectedBranchEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetAppsWithAccessToProtectedBranchRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListAppsWithAccessToProtectedBranchEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposListAppsWithAccessToProtectedBranchRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposReplaceProtectedBranchAppRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * apps parameter
-   */
-  apps: string[];
-};
-type ReposReplaceProtectedBranchAppRestrictionsRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAddProtectedBranchAppRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * apps parameter
-   */
-  apps: string[];
-};
-type ReposAddProtectedBranchAppRestrictionsRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchAppRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * apps parameter
-   */
-  apps: string[];
-};
-type ReposRemoveProtectedBranchAppRestrictionsRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetTeamsWithAccessToProtectedBranchEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetTeamsWithAccessToProtectedBranchRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListProtectedBranchTeamRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposListProtectedBranchTeamRestrictionsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListTeamsWithAccessToProtectedBranchEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposListTeamsWithAccessToProtectedBranchRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposReplaceProtectedBranchTeamRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * teams parameter
-   */
-  teams: string[];
-};
-type ReposReplaceProtectedBranchTeamRestrictionsRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAddProtectedBranchTeamRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * teams parameter
-   */
-  teams: string[];
-};
-type ReposAddProtectedBranchTeamRestrictionsRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchTeamRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * teams parameter
-   */
-  teams: string[];
-};
-type ReposRemoveProtectedBranchTeamRestrictionsRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetUsersWithAccessToProtectedBranchEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposGetUsersWithAccessToProtectedBranchRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListProtectedBranchUserRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposListProtectedBranchUserRestrictionsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListUsersWithAccessToProtectedBranchEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-};
-type ReposListUsersWithAccessToProtectedBranchRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposReplaceProtectedBranchUserRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * users parameter
-   */
-  users: string[];
-};
-type ReposReplaceProtectedBranchUserRestrictionsRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAddProtectedBranchUserRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * users parameter
-   */
-  users: string[];
-};
-type ReposAddProtectedBranchUserRestrictionsRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveProtectedBranchUserRestrictionsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * branch parameter
-   */
-  branch: string;
-  /**
-   * users parameter
-   */
-  users: string[];
-};
-type ReposRemoveProtectedBranchUserRestrictionsRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksCreateEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The name of the check. For example, "code-coverage".
-   */
-  name: string;
-  /**
-   * The SHA of the commit.
-   */
-  head_sha: string;
-  /**
-   * The URL of the integrator's site that has the full details of the check.
-   */
-  details_url?: string;
-  /**
-   * A reference for the run on the integrator's system.
-   */
-  external_id?: string;
-  /**
-   * The current status. Can be one of `queued`, `in_progress`, or `completed`.
-   */
-  status?: "queued" | "in_progress" | "completed";
-  /**
-   * The time that the check run began. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  started_at?: string;
-  /**
-   * **Required if you provide `completed_at` or a `status` of `completed`**. The final conclusion of the check. Can be one of `success`, `failure`, `neutral`, `cancelled`, `timed_out`, or `action_required`. When the conclusion is `action_required`, additional details should be provided on the site specified by `details_url`.
-   * **Note:** Providing `conclusion` will automatically set the `status` parameter to `completed`.
-   */
-  conclusion?:
-    | "success"
-    | "failure"
-    | "neutral"
-    | "cancelled"
-    | "timed_out"
-    | "action_required";
-  /**
-   * The time the check completed. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  completed_at?: string;
-  /**
-   * Check runs can accept a variety of data in the `output` object, including a `title` and `summary` and can optionally provide descriptive details about the run. See the [`output` object](https://developer.github.com/v3/checks/runs/#output-object) description.
-   */
-  output?: ChecksCreateParamsOutput;
-  /**
-   * Displays a button on GitHub that can be clicked to alert your app to do additional tasks. For example, a code linting app can display a button that automatically fixes detected errors. The button created in this object is displayed after the check run completes. When a user clicks the button, GitHub sends the [`check_run.requested_action` webhook](https://developer.github.com/v3/activity/events/types/#checkrunevent) to your app. Each action includes a `label`, `identifier` and `description`. A maximum of three actions are accepted. See the [`actions` object](https://developer.github.com/v3/checks/runs/#actions-object) description. To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)." To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)."
-   */
-  actions?: ChecksCreateParamsActions[];
-};
-type ChecksCreateRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksUpdateEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * check_run_id parameter
-   */
-  check_run_id: number;
-  /**
-   * The name of the check. For example, "code-coverage".
-   */
-  name?: string;
-  /**
-   * The URL of the integrator's site that has the full details of the check.
-   */
-  details_url?: string;
-  /**
-   * A reference for the run on the integrator's system.
-   */
-  external_id?: string;
-  /**
-   * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  started_at?: string;
-  /**
-   * The current status. Can be one of `queued`, `in_progress`, or `completed`.
-   */
-  status?: "queued" | "in_progress" | "completed";
-  /**
-   * **Required if you provide `completed_at` or a `status` of `completed`**. The final conclusion of the check. Can be one of `success`, `failure`, `neutral`, `cancelled`, `timed_out`, or `action_required`.
-   * **Note:** Providing `conclusion` will automatically set the `status` parameter to `completed`.
-   */
-  conclusion?:
-    | "success"
-    | "failure"
-    | "neutral"
-    | "cancelled"
-    | "timed_out"
-    | "action_required";
-  /**
-   * The time the check completed. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  completed_at?: string;
-  /**
-   * Check runs can accept a variety of data in the `output` object, including a `title` and `summary` and can optionally provide descriptive details about the run. See the [`output` object](https://developer.github.com/v3/checks/runs/#output-object-1) description.
-   */
-  output?: ChecksUpdateParamsOutput;
-  /**
-   * Possible further actions the integrator can perform, which a user may trigger. Each action includes a `label`, `identifier` and `description`. A maximum of three actions are accepted. See the [`actions` object](https://developer.github.com/v3/checks/runs/#actions-object) description. To learn more about check runs and requested actions, see "[Check runs and requested actions](https://developer.github.com/v3/checks/runs/#check-runs-and-requested-actions)."
-   */
-  actions?: ChecksUpdateParamsActions[];
-};
-type ChecksUpdateRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksGetEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * check_run_id parameter
-   */
-  check_run_id: number;
-};
-type ChecksGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksListAnnotationsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * check_run_id parameter
-   */
-  check_run_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ChecksListAnnotationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksCreateSuiteEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The sha of the head commit.
-   */
-  head_sha: string;
-};
-type ChecksCreateSuiteRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksSetSuitesPreferencesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Enables or disables automatic creation of CheckSuite events upon pushes to the repository. Enabled by default. See the [`auto_trigger_checks` object](https://developer.github.com/v3/checks/suites/#auto_trigger_checks-object) description for details.
-   */
-  auto_trigger_checks?: ChecksSetSuitesPreferencesParamsAutoTriggerChecks[];
-};
-type ChecksSetSuitesPreferencesRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksGetSuiteEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * check_suite_id parameter
-   */
-  check_suite_id: number;
-};
-type ChecksGetSuiteRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksListForSuiteEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * check_suite_id parameter
-   */
-  check_suite_id: number;
-  /**
-   * Returns check runs with the specified `name`.
-   */
-  check_name?: string;
-  /**
-   * Returns check runs with the specified `status`. Can be one of `queued`, `in_progress`, or `completed`.
-   */
-  status?: "queued" | "in_progress" | "completed";
-  /**
-   * Filters check runs by their `completed_at` timestamp. Can be one of `latest` (returning the most recent check runs) or `all`.
-   */
-  filter?: "latest" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ChecksListForSuiteRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksRerequestSuiteEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * check_suite_id parameter
-   */
-  check_suite_id: number;
-};
-type ChecksRerequestSuiteRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListCollaboratorsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Filter collaborators returned by their affiliation. Can be one of:
-   * \* `outside`: All outside collaborators of an organization-owned repository.
-   * \* `direct`: All collaborators with permissions to an organization-owned repository, regardless of organization membership status.
-   * \* `all`: All collaborators the authenticated user can see.
-   */
-  affiliation?: "outside" | "direct" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListCollaboratorsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCheckCollaboratorEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type ReposCheckCollaboratorRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAddCollaboratorEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * The permission to grant the collaborator. **Only valid on organization-owned repositories.** Can be one of:
-   * \* `pull` - can pull, but not push to or administer this repository.
-   * \* `push` - can pull and push, but not administer this repository.
-   * \* `admin` - can pull, push and administer this repository.
-   */
-  permission?: "pull" | "push" | "admin";
-};
-type ReposAddCollaboratorRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveCollaboratorEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type ReposRemoveCollaboratorRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetCollaboratorPermissionLevelEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type ReposGetCollaboratorPermissionLevelRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListCommitCommentsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListCommitCommentsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetCommitCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-};
-type ReposGetCommitCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateCommitCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * The contents of the comment
-   */
-  body: string;
-};
-type ReposUpdateCommitCommentRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeleteCommitCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-};
-type ReposDeleteCommitCommentRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForCommitCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a commit comment.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForCommitCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForCommitCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the commit comment.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForCommitCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListCommitsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * SHA or branch to start listing commits from. Default: the repository’s default branch (usually `master`).
-   */
-  sha?: string;
-  /**
-   * Only commits containing this file path will be returned.
-   */
-  path?: string;
-  /**
-   * GitHub login or email address by which to filter by commit author.
-   */
-  author?: string;
-  /**
-   * Only commits after this date will be returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-  /**
-   * Only commits before this date will be returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  until?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListCommitsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListBranchesForHeadCommitEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * commit_sha parameter
-   */
-  commit_sha: string;
-};
-type ReposListBranchesForHeadCommitRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListCommentsForCommitEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * commit_sha parameter
-   */
-  commit_sha: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListCommentsForCommitRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateCommitCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * commit_sha parameter
-   */
-  commit_sha: string;
-  /**
-   * The contents of the comment.
-   */
-  body: string;
-  /**
-   * Relative path of the file to comment on.
-   */
-  path?: string;
-  /**
-   * Line index in the diff to comment on.
-   */
-  position?: number;
-  /**
-   * **Deprecated**. Use **position** parameter instead. Line number in the file to comment on.
-   */
-  line?: number;
-};
-type ReposCreateCommitCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListPullRequestsAssociatedWithCommitEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * commit_sha parameter
-   */
-  commit_sha: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListPullRequestsAssociatedWithCommitRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetCommitEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-};
-type ReposGetCommitRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksListForRefEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-  /**
-   * Returns check runs with the specified `name`.
-   */
-  check_name?: string;
-  /**
-   * Returns check runs with the specified `status`. Can be one of `queued`, `in_progress`, or `completed`.
-   */
-  status?: "queued" | "in_progress" | "completed";
-  /**
-   * Filters check runs by their `completed_at` timestamp. Can be one of `latest` (returning the most recent check runs) or `all`.
-   */
-  filter?: "latest" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ChecksListForRefRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ChecksListSuitesForRefEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-  /**
-   * Filters check suites by GitHub App `id`.
-   */
-  app_id?: number;
-  /**
-   * Filters checks suites by the name of the [check run](https://developer.github.com/v3/checks/runs/).
-   */
-  check_name?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ChecksListSuitesForRefRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetCombinedStatusForRefEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-};
-type ReposGetCombinedStatusForRefRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListStatusesForRefEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListStatusesForRefRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type CodesOfConductGetForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type CodesOfConductGetForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRetrieveCommunityProfileMetricsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposRetrieveCommunityProfileMetricsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCompareCommitsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * base parameter
-   */
-  base: string;
-  /**
-   * head parameter
-   */
-  head: string;
-};
-type ReposCompareCommitsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetContentsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * path parameter
-   */
-  path: string;
-  /**
-   * The name of the commit/branch/tag. Default: the repository’s default branch (usually `master`)
-   */
-  ref?: string;
-};
-type ReposGetContentsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateOrUpdateFileEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * path parameter
-   */
-  path: string;
-  /**
-   * The commit message.
-   */
-  message: string;
-  /**
-   * The new file content, using Base64 encoding.
-   */
-  content: string;
-  /**
-   * **Required if you are updating a file**. The blob SHA of the file being replaced.
-   */
-  sha?: string;
-  /**
-   * The branch name. Default: the repository’s default branch (usually `master`)
-   */
-  branch?: string;
-  /**
-   * The person that committed the file. Default: the authenticated user.
-   */
-  committer?: ReposCreateOrUpdateFileParamsCommitter;
-  /**
-   * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-   */
-  author?: ReposCreateOrUpdateFileParamsAuthor;
-};
-type ReposCreateOrUpdateFileRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateFileEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * path parameter
-   */
-  path: string;
-  /**
-   * The commit message.
-   */
-  message: string;
-  /**
-   * The new file content, using Base64 encoding.
-   */
-  content: string;
-  /**
-   * **Required if you are updating a file**. The blob SHA of the file being replaced.
-   */
-  sha?: string;
-  /**
-   * The branch name. Default: the repository’s default branch (usually `master`)
-   */
-  branch?: string;
-  /**
-   * The person that committed the file. Default: the authenticated user.
-   */
-  committer?: ReposCreateFileParamsCommitter;
-  /**
-   * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-   */
-  author?: ReposCreateFileParamsAuthor;
-};
-type ReposCreateFileRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateFileEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * path parameter
-   */
-  path: string;
-  /**
-   * The commit message.
-   */
-  message: string;
-  /**
-   * The new file content, using Base64 encoding.
-   */
-  content: string;
-  /**
-   * **Required if you are updating a file**. The blob SHA of the file being replaced.
-   */
-  sha?: string;
-  /**
-   * The branch name. Default: the repository’s default branch (usually `master`)
-   */
-  branch?: string;
-  /**
-   * The person that committed the file. Default: the authenticated user.
-   */
-  committer?: ReposUpdateFileParamsCommitter;
-  /**
-   * The author of the file. Default: The `committer` or the authenticated user if you omit `committer`.
-   */
-  author?: ReposUpdateFileParamsAuthor;
-};
-type ReposUpdateFileRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeleteFileEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * path parameter
-   */
-  path: string;
-  /**
-   * The commit message.
-   */
-  message: string;
-  /**
-   * The blob SHA of the file being replaced.
-   */
-  sha: string;
-  /**
-   * The branch name. Default: the repository’s default branch (usually `master`)
-   */
-  branch?: string;
-  /**
-   * object containing information about the committer.
-   */
-  committer?: ReposDeleteFileParamsCommitter;
-  /**
-   * object containing information about the author.
-   */
-  author?: ReposDeleteFileParamsAuthor;
-};
-type ReposDeleteFileRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListContributorsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Set to `1` or `true` to include anonymous contributors in results.
-   */
-  anon?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListContributorsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListDeploymentsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The SHA recorded at creation time.
-   */
-  sha?: string;
-  /**
-   * The name of the ref. This can be a branch, tag, or SHA.
-   */
-  ref?: string;
-  /**
-   * The name of the task for the deployment (e.g., `deploy` or `deploy:migrations`).
-   */
-  task?: string;
-  /**
-   * The name of the environment that was deployed to (e.g., `staging` or `production`).
-   */
-  environment?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListDeploymentsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateDeploymentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The ref to deploy. This can be a branch, tag, or SHA.
-   */
-  ref: string;
-  /**
-   * Specifies a task to execute (e.g., `deploy` or `deploy:migrations`).
-   */
-  task?: string;
-  /**
-   * Attempts to automatically merge the default branch into the requested ref, if it's behind the default branch.
-   */
-  auto_merge?: boolean;
-  /**
-   * The [status](https://developer.github.com/v3/repos/statuses/) contexts to verify against commit status checks. If you omit this parameter, GitHub verifies all unique contexts before creating a deployment. To bypass checking entirely, pass an empty array. Defaults to all unique contexts.
-   */
-  required_contexts?: string[];
-  /**
-   * JSON payload with extra information about the deployment.
-   */
-  payload?: string;
-  /**
-   * Name for the target deployment environment (e.g., `production`, `staging`, `qa`).
-   */
-  environment?: string;
-  /**
-   * Short description of the deployment.
-   */
-  description?: string;
-  /**
-   * Specifies if the given environment is specific to the deployment and will no longer exist at some point in the future. Default: `false`
-   * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-   */
-  transient_environment?: boolean;
-  /**
-   * Specifies if the given environment is one that end-users directly interact with. Default: `true` when `environment` is `production` and `false` otherwise.
-   * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-   */
-  production_environment?: boolean;
-};
-type ReposCreateDeploymentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetDeploymentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * deployment_id parameter
-   */
-  deployment_id: number;
-};
-type ReposGetDeploymentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListDeploymentStatusesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * deployment_id parameter
-   */
-  deployment_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListDeploymentStatusesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateDeploymentStatusEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * deployment_id parameter
-   */
-  deployment_id: number;
-  /**
-   * The state of the status. Can be one of `error`, `failure`, `inactive`, `in_progress`, `queued` `pending`, or `success`. **Note:** To use the `inactive` state, you must provide the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. To use the `in_progress` and `queued` states, you must provide the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-   */
-  state:
-    | "error"
-    | "failure"
-    | "inactive"
-    | "in_progress"
-    | "queued"
-    | "pending"
-    | "success";
-  /**
-   * The target URL to associate with this status. This URL should contain output to keep the user updated while the task is running or serve as historical information for what happened in the deployment. **Note:** It's recommended to use the `log_url` parameter, which replaces `target_url`.
-   */
-  target_url?: string;
-  /**
-   * The full URL of the deployment's output. This parameter replaces `target_url`. We will continue to accept `target_url` to support legacy uses, but we recommend replacing `target_url` with `log_url`. Setting `log_url` will automatically set `target_url` to the same value. Default: `""`
-   * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-   */
-  log_url?: string;
-  /**
-   * A short description of the status. The maximum description length is 140 characters.
-   */
-  description?: string;
-  /**
-   * Name for the target deployment environment, which can be changed when setting a deploy status. For example, `production`, `staging`, or `qa`. **Note:** This parameter requires you to use the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-   */
-  environment?: "production" | "staging" | "qa";
-  /**
-   * Sets the URL for accessing your environment. Default: `""`
-   * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type. **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-   */
-  environment_url?: string;
-  /**
-   * Adds a new `inactive` status to all prior non-transient, non-production environment deployments with the same repository and `environment` name as the created status's deployment. An `inactive` status is only added to deployments that had a `success` state. Default: `true`
-   * **Note:** To add an `inactive` status to `production` environments, you must use the [`application/vnd.github.flash-preview+json`](https://developer.github.com/v3/previews/#deployment-statuses) custom media type.
-   * **Note:** This parameter requires you to use the [`application/vnd.github.ant-man-preview+json`](https://developer.github.com/v3/previews/#enhanced-deployments) custom media type.
-   */
-  auto_inactive?: boolean;
-};
-type ReposCreateDeploymentStatusRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetDeploymentStatusEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * deployment_id parameter
-   */
-  deployment_id: number;
-  /**
-   * status_id parameter
-   */
-  status_id: number;
-};
-type ReposGetDeploymentStatusRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateDispatchEventEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * **Required:** A custom webhook event name.
-   */
-  event_type?: string;
-  /**
-   * JSON payload with extra information about the webhook event that your action or worklow may use.
-   */
-  client_payload?: ReposCreateDispatchEventParamsClientPayload;
-};
-type ReposCreateDispatchEventRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListDownloadsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListDownloadsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetDownloadEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * download_id parameter
-   */
-  download_id: number;
-};
-type ReposGetDownloadRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeleteDownloadEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * download_id parameter
-   */
-  download_id: number;
-};
-type ReposDeleteDownloadRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListRepoEventsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListRepoEventsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListForksEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The sort order. Can be either `newest`, `oldest`, or `stargazers`.
-   */
-  sort?: "newest" | "oldest" | "stargazers";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListForksRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateForkEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Optional parameter to specify the organization name if forking into an organization.
-   */
-  organization?: string;
-};
-type ReposCreateForkRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitCreateBlobEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The new blob's content.
-   */
-  content: string;
-  /**
-   * The encoding used for `content`. Currently, `"utf-8"` and `"base64"` are supported.
-   */
-  encoding?: string;
-};
-type GitCreateBlobRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitGetBlobEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * file_sha parameter
-   */
-  file_sha: string;
-};
-type GitGetBlobRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitCreateCommitEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The commit message
-   */
-  message: string;
-  /**
-   * The SHA of the tree object this commit points to
-   */
-  tree: string;
-  /**
-   * The SHAs of the commits that were the parents of this commit. If omitted or empty, the commit will be written as a root commit. For a single parent, an array of one SHA should be provided; for a merge commit, an array of more than one should be provided.
-   */
-  parents: string[];
-  /**
-   * Information about the author of the commit. By default, the `author` will be the authenticated user and the current date. See the `author` and `committer` object below for details.
-   */
-  author?: GitCreateCommitParamsAuthor;
-  /**
-   * Information about the person who is making the commit. By default, `committer` will use the information set in `author`. See the `author` and `committer` object below for details.
-   */
-  committer?: GitCreateCommitParamsCommitter;
-  /**
-   * The [PGP signature](https://en.wikipedia.org/wiki/Pretty_Good_Privacy) of the commit. GitHub adds the signature to the `gpgsig` header of the created commit. For a commit signature to be verifiable by Git or GitHub, it must be an ASCII-armored detached PGP signature over the string commit as it would be written to the object database. To pass a `signature` parameter, you need to first manually create a valid PGP signature, which can be complicated. You may find it easier to [use the command line](https://git-scm.com/book/id/v2/Git-Tools-Signing-Your-Work) to create signed commits.
-   */
-  signature?: string;
-};
-type GitCreateCommitRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitGetCommitEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * commit_sha parameter
-   */
-  commit_sha: string;
-};
-type GitGetCommitRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitListMatchingRefsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type GitListMatchingRefsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitGetRefEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-};
-type GitGetRefRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitCreateRefEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The name of the fully qualified reference (ie: `refs/heads/master`). If it doesn't start with 'refs' and have at least two slashes, it will be rejected.
-   */
-  ref: string;
-  /**
-   * The SHA1 value for this reference.
-   */
-  sha: string;
-};
-type GitCreateRefRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitUpdateRefEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-  /**
-   * The SHA1 value to set this reference to
-   */
-  sha: string;
-  /**
-   * Indicates whether to force the update or to make sure the update is a fast-forward update. Leaving this out or setting it to `false` will make sure you're not overwriting work.
-   */
-  force?: boolean;
-};
-type GitUpdateRefRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitDeleteRefEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-};
-type GitDeleteRefRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitCreateTagEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The tag's name. This is typically a version (e.g., "v0.0.1").
-   */
-  tag: string;
-  /**
-   * The tag message.
-   */
-  message: string;
-  /**
-   * The SHA of the git object this is tagging.
-   */
-  object: string;
-  /**
-   * The type of the object we're tagging. Normally this is a `commit` but it can also be a `tree` or a `blob`.
-   */
-  type: "commit" | "tree" | "blob";
-  /**
-   * An object with information about the individual creating the tag.
-   */
-  tagger?: GitCreateTagParamsTagger;
-};
-type GitCreateTagRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitGetTagEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * tag_sha parameter
-   */
-  tag_sha: string;
-};
-type GitGetTagRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitCreateTreeEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Objects (of `path`, `mode`, `type`, and `sha`) specifying a tree structure.
-   */
-  tree: GitCreateTreeParamsTree[];
-  /**
-   * The SHA1 of the tree you want to update with new data. If you don't set this, the commit will be created on top of everything; however, it will only contain your change, the rest of your files will show up as deleted.
-   */
-  base_tree?: string;
-};
-type GitCreateTreeRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GitGetTreeEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * tree_sha parameter
-   */
-  tree_sha: string;
-  /**
-   * recursive parameter
-   */
-  recursive?: "1";
-};
-type GitGetTreeRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListHooksEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListHooksRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateHookEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Use `web` to create a webhook. Default: `web`. This parameter only accepts the value `web`.
-   */
-  name?: string;
-  /**
-   * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/repos/hooks/#create-hook-config-params).
-   */
-  config: ReposCreateHookParamsConfig;
-  /**
-   * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for.
-   */
-  events?: string[];
-  /**
-   * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-   */
-  active?: boolean;
-};
-type ReposCreateHookRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetHookEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-};
-type ReposGetHookRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateHookEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-  /**
-   * Key/value pairs to provide settings for this webhook. [These are defined below](https://developer.github.com/v3/repos/hooks/#create-hook-config-params).
-   */
-  config?: ReposUpdateHookParamsConfig;
-  /**
-   * Determines what [events](https://developer.github.com/v3/activity/events/types/) the hook is triggered for. This replaces the entire array of events.
-   */
-  events?: string[];
-  /**
-   * Determines a list of events to be added to the list of events that the Hook triggers for.
-   */
-  add_events?: string[];
-  /**
-   * Determines a list of events to be removed from the list of events that the Hook triggers for.
-   */
-  remove_events?: string[];
-  /**
-   * Determines if notifications are sent when the webhook is triggered. Set to `true` to send notifications.
-   */
-  active?: boolean;
-};
-type ReposUpdateHookRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeleteHookEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-};
-type ReposDeleteHookRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposPingHookEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-};
-type ReposPingHookRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposTestPushHookEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * hook_id parameter
-   */
-  hook_id: number;
-};
-type ReposTestPushHookRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsStartImportEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The URL of the originating repository.
-   */
-  vcs_url: string;
-  /**
-   * The originating VCS type. Can be one of `subversion`, `git`, `mercurial`, or `tfvc`. Please be aware that without this parameter, the import job will take additional time to detect the VCS type before beginning the import. This detection step will be reflected in the response.
-   */
-  vcs?: "subversion" | "git" | "mercurial" | "tfvc";
-  /**
-   * If authentication is required, the username to provide to `vcs_url`.
-   */
-  vcs_username?: string;
-  /**
-   * If authentication is required, the password to provide to `vcs_url`.
-   */
-  vcs_password?: string;
-  /**
-   * For a tfvc import, the name of the project that is being imported.
-   */
-  tfvc_project?: string;
-};
-type MigrationsStartImportRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsGetImportProgressEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type MigrationsGetImportProgressRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsUpdateImportEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The username to provide to the originating repository.
-   */
-  vcs_username?: string;
-  /**
-   * The password to provide to the originating repository.
-   */
-  vcs_password?: string;
-};
-type MigrationsUpdateImportRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsCancelImportEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type MigrationsCancelImportRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsGetCommitAuthorsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Only authors found after this id are returned. Provide the highest author ID you've seen so far. New authors may be added to the list at any point while the importer is performing the `raw` step.
-   */
-  since?: string;
-};
-type MigrationsGetCommitAuthorsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsMapCommitAuthorEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * author_id parameter
-   */
-  author_id: number;
-  /**
-   * The new Git author email.
-   */
-  email?: string;
-  /**
-   * The new Git author name.
-   */
-  name?: string;
-};
-type MigrationsMapCommitAuthorRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsGetLargeFilesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type MigrationsGetLargeFilesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsSetLfsPreferenceEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Can be one of `opt_in` (large files will be stored using Git LFS) or `opt_out` (large files will be removed during the import).
-   */
-  use_lfs: "opt_in" | "opt_out";
-};
-type MigrationsSetLfsPreferenceRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsGetRepoInstallationEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type AppsGetRepoInstallationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsFindRepoInstallationEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type AppsFindRepoInstallationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type InteractionsGetRestrictionsForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type InteractionsGetRestrictionsForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type InteractionsAddOrUpdateRestrictionsForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Specifies the group of GitHub users who can comment, open issues, or create pull requests for the given repository. Must be one of: `existing_users`, `contributors_only`, or `collaborators_only`.
-   */
-  limit: "existing_users" | "contributors_only" | "collaborators_only";
-};
-type InteractionsAddOrUpdateRestrictionsForRepoRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type InteractionsRemoveRestrictionsForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type InteractionsRemoveRestrictionsForRepoRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListInvitationsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListInvitationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeleteInvitationEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * invitation_id parameter
-   */
-  invitation_id: number;
-};
-type ReposDeleteInvitationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateInvitationEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * invitation_id parameter
-   */
-  invitation_id: number;
-  /**
-   * The permissions that the associated user will have on the repository. Valid values are `read`, `write`, and `admin`.
-   */
-  permissions?: "read" | "write" | "admin";
-};
-type ReposUpdateInvitationRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * If an `integer` is passed, it should refer to a milestone by its `number` field. If the string `*` is passed, issues with any milestone are accepted. If the string `none` is passed, issues without milestones are returned.
-   */
-  milestone?: string;
-  /**
-   * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * Can be the name of a user. Pass in `none` for issues with no assigned user, and `*` for issues assigned to any user.
-   */
-  assignee?: string;
-  /**
-   * The user that created the issue.
-   */
-  creator?: string;
-  /**
-   * A user that's mentioned in the issue.
-   */
-  mentioned?: string;
-  /**
-   * A list of comma separated label names. Example: `bug,ui,@high`
-   */
-  labels?: string;
-  /**
-   * What to sort results by. Can be either `created`, `updated`, `comments`.
-   */
-  sort?: "created" | "updated" | "comments";
-  /**
-   * The direction of the sort. Can be either `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesCreateEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The title of the issue.
-   */
-  title: string;
-  /**
-   * The contents of the issue.
-   */
-  body?: string;
-  /**
-   * Login for the user that this issue should be assigned to. _NOTE: Only users with push access can set the assignee for new issues. The assignee is silently dropped otherwise. **This field is deprecated.**_
-   */
-  assignee?: string;
-  /**
-   * The `number` of the milestone to associate this issue with. _NOTE: Only users with push access can set the milestone for new issues. The milestone is silently dropped otherwise._
-   */
-  milestone?: number;
-  /**
-   * Labels to associate with this issue. _NOTE: Only users with push access can set labels for new issues. Labels are silently dropped otherwise._
-   */
-  labels?: string[];
-  /**
-   * Logins for Users to assign to this issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-   */
-  assignees?: string[];
-};
-type IssuesCreateRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListCommentsForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Either `created` or `updated`.
-   */
-  sort?: "created" | "updated";
-  /**
-   * Either `asc` or `desc`. Ignored without the `sort` parameter.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-};
-type IssuesListCommentsForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesGetCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesGetCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesUpdateCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * The contents of the comment.
-   */
-  body: string;
-};
-type IssuesUpdateCommentRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesDeleteCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-};
-type IssuesDeleteCommentRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForIssueCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue comment.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForIssueCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForIssueCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue comment.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForIssueCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListEventsForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListEventsForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesGetEventEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * event_id parameter
-   */
-  event_id: number;
-};
-type IssuesGetEventRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesGetEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-};
-type IssuesGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesUpdateEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * The title of the issue.
-   */
-  title?: string;
-  /**
-   * The contents of the issue.
-   */
-  body?: string;
-  /**
-   * Login for the user that this issue should be assigned to. **This field is deprecated.**
-   */
-  assignee?: string;
-  /**
-   * State of the issue. Either `open` or `closed`.
-   */
-  state?: "open" | "closed";
-  /**
-   * The `number` of the milestone to associate this issue with or `null` to remove current. _NOTE: Only users with push access can set the milestone for issues. The milestone is silently dropped otherwise._
-   */
-  milestone?: number | null;
-  /**
-   * Labels to associate with this issue. Pass one or more Labels to _replace_ the set of Labels on this Issue. Send an empty array (`[]`) to clear all Labels from the Issue. _NOTE: Only users with push access can set labels for issues. Labels are silently dropped otherwise._
-   */
-  labels?: string[];
-  /**
-   * Logins for Users to assign to this issue. Pass one or more user logins to _replace_ the set of assignees on this Issue. Send an empty array (`[]`) to clear all assignees from the Issue. _NOTE: Only users with push access can set assignees for new issues. Assignees are silently dropped otherwise._
-   */
-  assignees?: string[];
-};
-type IssuesUpdateRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesAddAssigneesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * Usernames of people to assign this issue to. _NOTE: Only users with push access can add assignees to an issue. Assignees are silently ignored otherwise._
-   */
-  assignees?: string[];
-};
-type IssuesAddAssigneesRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesRemoveAssigneesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * Usernames of assignees to remove from an issue. _NOTE: Only users with push access can remove assignees from an issue. Assignees are silently ignored otherwise._
-   */
-  assignees?: string[];
-};
-type IssuesRemoveAssigneesRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListCommentsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * Only comments updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListCommentsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesCreateCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * The contents of the comment.
-   */
-  body: string;
-};
-type IssuesCreateCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListEventsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListEventsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListLabelsOnIssueEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListLabelsOnIssueRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesAddLabelsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * The name of the label to add to the issue. Must contain at least one label. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-   */
-  labels: string[];
-};
-type IssuesAddLabelsRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesReplaceLabelsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * The names of the labels to add to the issue. You can pass an empty array to remove all labels. **Note:** Alternatively, you can pass a single label as a `string` or an `array` of labels directly, but GitHub recommends passing an object with the `labels` key.
-   */
-  labels?: string[];
-};
-type IssuesReplaceLabelsRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesRemoveLabelsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-};
-type IssuesRemoveLabelsRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesRemoveLabelEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * name parameter
-   */
-  name: string;
-};
-type IssuesRemoveLabelRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesLockEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * The reason for locking the issue or pull request conversation. Lock will fail if you don't use one of these reasons:
-   * \* `off-topic`
-   * \* `too heated`
-   * \* `resolved`
-   * \* `spam`
-   */
-  lock_reason?: "off-topic" | "too heated" | "resolved" | "spam";
-};
-type IssuesLockRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesUnlockEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-};
-type IssuesUnlockRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForIssueEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to an issue.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForIssueRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForIssueEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the issue.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForIssueRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListEventsForTimelineEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * issue_number parameter
-   */
-  issue_number: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListEventsForTimelineRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListDeployKeysEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListDeployKeysRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAddDeployKeyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * A name for the key.
-   */
-  title?: string;
-  /**
-   * The contents of the key.
-   */
-  key: string;
-  /**
-   * If `true`, the key will only be able to read repository contents. Otherwise, the key will be able to read and write.
-   *
-   * Deploy keys with write access can perform the same actions as an organization member with admin access, or a collaborator on a personal repository. For more information, see "[Repository permission levels for an organization](https://help.github.com/articles/repository-permission-levels-for-an-organization/)" and "[Permission levels for a user account repository](https://help.github.com/articles/permission-levels-for-a-user-account-repository/)."
-   */
-  read_only?: boolean;
-};
-type ReposAddDeployKeyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetDeployKeyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * key_id parameter
-   */
-  key_id: number;
-};
-type ReposGetDeployKeyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRemoveDeployKeyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * key_id parameter
-   */
-  key_id: number;
-};
-type ReposRemoveDeployKeyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListLabelsForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListLabelsForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesCreateLabelEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The name of the label. Emoji can be added to label names, using either native emoji or colon-style markup. For example, typing `:strawberry:` will render the emoji ![:strawberry:](https://github.githubassets.com/images/icons/emoji/unicode/1f353.png ":strawberry:"). For a full list of available emoji and codes, see [emoji-cheat-sheet.com](http://emoji-cheat-sheet.com/).
-   */
-  name: string;
-  /**
-   * The [hexadecimal color code](http://www.color-hex.com/) for the label, without the leading `#`.
-   */
-  color: string;
-  /**
-   * A short description of the label.
-   */
-  description?: string;
-};
-type IssuesCreateLabelRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesGetLabelEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * name parameter
-   */
-  name: string;
-};
-type IssuesGetLabelRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesUpdateLabelEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * name parameter
-   */
-  name: string;
-  /**
-   * The new name of the label. Emoji can be added to label names, using either native emoji or colon-style markup. For example, typing `:strawberry:` will render the emoji ![:strawberry:](https://github.githubassets.com/images/icons/emoji/unicode/1f353.png ":strawberry:"). For a full list of available emoji and codes, see [emoji-cheat-sheet.com](http://emoji-cheat-sheet.com/).
-   */
-  new_name?: string;
-  /**
-   * The [hexadecimal color code](http://www.color-hex.com/) for the label, without the leading `#`.
-   */
-  color?: string;
-  /**
-   * A short description of the label.
-   */
-  description?: string;
-};
-type IssuesUpdateLabelRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesDeleteLabelEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * name parameter
-   */
-  name: string;
-};
-type IssuesDeleteLabelRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListLanguagesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposListLanguagesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type LicensesGetForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type LicensesGetForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposMergeEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The name of the base branch that the head will be merged into.
-   */
-  base: string;
-  /**
-   * The head to merge. This can be a branch name or a commit SHA1.
-   */
-  head: string;
-  /**
-   * Commit message to use for the merge commit. If omitted, a default message will be used.
-   */
-  commit_message?: string;
-};
-type ReposMergeRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListMilestonesForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The state of the milestone. Either `open`, `closed`, or `all`.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * What to sort results by. Either `due_on` or `completeness`.
-   */
-  sort?: "due_on" | "completeness";
-  /**
-   * The direction of the sort. Either `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListMilestonesForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesCreateMilestoneEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The title of the milestone.
-   */
-  title: string;
-  /**
-   * The state of the milestone. Either `open` or `closed`.
-   */
-  state?: "open" | "closed";
-  /**
-   * A description of the milestone.
-   */
-  description?: string;
-  /**
-   * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  due_on?: string;
-};
-type IssuesCreateMilestoneRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesGetMilestoneEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * milestone_number parameter
-   */
-  milestone_number: number;
-};
-type IssuesGetMilestoneRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesUpdateMilestoneEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * milestone_number parameter
-   */
-  milestone_number: number;
-  /**
-   * The title of the milestone.
-   */
-  title?: string;
-  /**
-   * The state of the milestone. Either `open` or `closed`.
-   */
-  state?: "open" | "closed";
-  /**
-   * A description of the milestone.
-   */
-  description?: string;
-  /**
-   * The milestone due date. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  due_on?: string;
-};
-type IssuesUpdateMilestoneRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesDeleteMilestoneEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * milestone_number parameter
-   */
-  milestone_number: number;
-};
-type IssuesDeleteMilestoneRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListLabelsForMilestoneEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * milestone_number parameter
-   */
-  milestone_number: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListLabelsForMilestoneRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListNotificationsForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * If `true`, show notifications marked as read.
-   */
-  all?: boolean;
-  /**
-   * If `true`, only shows notifications in which the user is directly participating or mentioned.
-   */
-  participating?: boolean;
-  /**
-   * Only show notifications updated after the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-  /**
-   * Only show notifications updated before the given time. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  before?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListNotificationsForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityMarkNotificationsAsReadForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Describes the last point that notifications were checked. Anything updated since this time will not be updated. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Default: The current timestamp.
-   */
-  last_read_at?: string;
-};
-type ActivityMarkNotificationsAsReadForRepoRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetPagesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetPagesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposEnablePagesSiteEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * source parameter
-   */
-  source?: ReposEnablePagesSiteParamsSource;
-};
-type ReposEnablePagesSiteRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDisablePagesSiteEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposDisablePagesSiteRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateInformationAboutPagesSiteEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Specify a custom domain for the repository. Sending a `null` value will remove the custom domain. For more about custom domains, see "[Using a custom domain with GitHub Pages](https://help.github.com/articles/using-a-custom-domain-with-github-pages/)."
-   */
-  cname?: string;
-  /**
-   * Update the source for the repository. Must include the branch name, and may optionally specify the subdirectory `/docs`. Possible values are `"gh-pages"`, `"master"`, and `"master /docs"`.
-   */
-  source?: '"gh-pages"' | '"master"' | '"master /docs"';
-};
-type ReposUpdateInformationAboutPagesSiteRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposRequestPageBuildEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposRequestPageBuildRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListPagesBuildsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListPagesBuildsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetLatestPagesBuildEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetLatestPagesBuildRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetPagesBuildEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * build_id parameter
-   */
-  build_id: number;
-};
-type ReposGetPagesBuildRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsListForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ProjectsListForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsCreateForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The name of the project.
-   */
-  name: string;
-  /**
-   * The description of the project.
-   */
-  body?: string;
-};
-type ProjectsCreateForRepoRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsListEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Either `open`, `closed`, or `all` to filter by state.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * Filter pulls by head user or head organization and branch name in the format of `user:ref-name` or `organization:ref-name`. For example: `github:new-script-format` or `octocat:test-branch`.
-   */
-  head?: string;
-  /**
-   * Filter pulls by base branch name. Example: `gh-pages`.
-   */
-  base?: string;
-  /**
-   * What to sort results by. Can be either `created`, `updated`, `popularity` (comment count) or `long-running` (age, filtering by pulls updated in the last month).
-   */
-  sort?: "created" | "updated" | "popularity" | "long-running";
-  /**
-   * The direction of the sort. Can be either `asc` or `desc`. Default: `desc` when sort is `created` or sort is not specified, otherwise `asc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type PullsListRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsCreateEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The title of the new pull request.
-   */
-  title: string;
-  /**
-   * The name of the branch where your changes are implemented. For cross-repository pull requests in the same network, namespace `head` with a user like this: `username:branch`.
-   */
-  head: string;
-  /**
-   * The name of the branch you want the changes pulled into. This should be an existing branch on the current repository. You cannot submit a pull request to one repository that requests a merge to a base of another repository.
-   */
-  base: string;
-  /**
-   * The contents of the pull request.
-   */
-  body?: string;
-  /**
-   * Indicates whether [maintainers can modify](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
-   */
-  maintainer_can_modify?: boolean;
-  /**
-   * Indicates whether the pull request is a draft. See "[Draft Pull Requests](https://help.github.com/en/articles/about-pull-requests#draft-pull-requests)" in the GitHub Help documentation to learn more.
-   */
-  draft?: boolean;
-};
-type PullsCreateRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsListCommentsForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Can be either `created` or `updated` comments.
-   */
-  sort?: "created" | "updated";
-  /**
-   * Can be either `asc` or `desc`. Ignored without `sort` parameter.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type PullsListCommentsForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsGetCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-};
-type PullsGetCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsUpdateCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * The text of the reply to the review comment.
-   */
-  body: string;
-};
-type PullsUpdateCommentRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsDeleteCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-};
-type PullsDeleteCommentRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForPullRequestReviewCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a pull request review comment.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForPullRequestReviewCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForPullRequestReviewCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the pull request review comment.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForPullRequestReviewCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsGetEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-};
-type PullsGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsUpdateEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * The title of the pull request.
-   */
-  title?: string;
-  /**
-   * The contents of the pull request.
-   */
-  body?: string;
-  /**
-   * State of this Pull Request. Either `open` or `closed`.
-   */
-  state?: "open" | "closed";
-  /**
-   * The name of the branch you want your changes pulled into. This should be an existing branch on the current repository. You cannot update the base branch on a pull request to point to another repository.
-   */
-  base?: string;
-  /**
-   * Indicates whether [maintainers can modify](https://help.github.com/articles/allowing-changes-to-a-pull-request-branch-created-from-a-fork/) the pull request.
-   */
-  maintainer_can_modify?: boolean;
-};
-type PullsUpdateRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsListCommentsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * Can be either `created` or `updated` comments.
-   */
-  sort?: "created" | "updated";
-  /**
-   * Can be either `asc` or `desc`. Ignored without `sort` parameter.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only returns comments `updated` at or after this time.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type PullsListCommentsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsCreateCommentEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * The text of the review comment.
-   */
-  body: string;
-  /**
-   * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-   */
-  commit_id: string;
-  /**
-   * The relative path to the file that necessitates a comment.
-   */
-  path: string;
-  /**
-   * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-   */
-  position?: number;
-  /**
-   * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-   */
-  side?: "LEFT" | "RIGHT";
-  /**
-   * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-   */
-  line?: number;
-  /**
-   * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-   */
-  start_line?: number;
-  /**
-   * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-   */
-  start_side?: "LEFT" | "RIGHT" | "side";
-};
-type PullsCreateCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsCreateCommentReplyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * The text of the review comment.
-   */
-  body: string;
-  /**
-   * The SHA of the commit needing a comment. Not using the latest commit SHA may render your comment outdated if a subsequent commit modifies the line you specify as the `position`.
-   */
-  commit_id: string;
-  /**
-   * The relative path to the file that necessitates a comment.
-   */
-  path: string;
-  /**
-   * **Required without `comfort-fade` preview**. The position in the diff where you want to add a review comment. Note this value is not the same as the line number in the file. For help finding the position value, read the note above.
-   */
-  position?: number;
-  /**
-   * **Required with `comfort-fade` preview**. In a split diff view, the side of the diff that the pull request's changes appear on. Can be `LEFT` or `RIGHT`. Use `LEFT` for deletions that appear in red. Use `RIGHT` for additions that appear in green or unchanged lines that appear in white and are shown for context. For a multi-line comment, side represents whether the last line of the comment range is a deletion or addition. For more information, see "[Diff view options](https://help.github.com/en/articles/about-comparing-branches-in-pull-requests#diff-view-options)" in the GitHub Help documentation.
-   */
-  side?: "LEFT" | "RIGHT";
-  /**
-   * **Required with `comfort-fade` preview**. The line of the blob in the pull request diff that the comment applies to. For a multi-line comment, the last line of the range that your comment applies to.
-   */
-  line?: number;
-  /**
-   * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_line` is the first line in the pull request diff that your multi-line comment applies to. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation.
-   */
-  start_line?: number;
-  /**
-   * **Required when using multi-line comments**. To create multi-line comments, you must use the `comfort-fade` preview header. The `start_side` is the starting side of the diff that the comment applies to. Can be `LEFT` or `RIGHT`. To learn more about multi-line comments, see "[Commenting on a pull request](https://help.github.com/en/articles/commenting-on-a-pull-request#adding-line-comments-to-a-pull-request)" in the GitHub Help documentation. See `side` in this table for additional context.
-   */
-  start_side?: "LEFT" | "RIGHT" | "side";
-};
-type PullsCreateCommentReplyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsCreateReviewCommentReplyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * comment_id parameter
-   */
-  comment_id: number;
-  /**
-   * The text of the review comment.
-   */
-  body: string;
-};
-type PullsCreateReviewCommentReplyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsListCommitsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type PullsListCommitsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsListFilesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type PullsListFilesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsCheckIfMergedEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-};
-type PullsCheckIfMergedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsMergeEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * Title for the automatic commit message.
-   */
-  commit_title?: string;
-  /**
-   * Extra detail to append to automatic commit message.
-   */
-  commit_message?: string;
-  /**
-   * SHA that pull request head must match to allow merge.
-   */
-  sha?: string;
-  /**
-   * Merge method to use. Possible values are `merge`, `squash` or `rebase`. Default is `merge`.
-   */
-  merge_method?: "merge" | "squash" | "rebase";
-};
-type PullsMergeRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsListReviewRequestsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type PullsListReviewRequestsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsCreateReviewRequestEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * An array of user `login`s that will be requested.
-   */
-  reviewers?: string[];
-  /**
-   * An array of team `slug`s that will be requested.
-   */
-  team_reviewers?: string[];
-};
-type PullsCreateReviewRequestRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsDeleteReviewRequestEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * An array of user `login`s that will be removed.
-   */
-  reviewers?: string[];
-  /**
-   * An array of team `slug`s that will be removed.
-   */
-  team_reviewers?: string[];
-};
-type PullsDeleteReviewRequestRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsListReviewsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type PullsListReviewsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsCreateReviewEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * The SHA of the commit that needs a review. Not using the latest commit SHA may render your review comment outdated if a subsequent commit modifies the line you specify as the `position`. Defaults to the most recent commit in the pull request when you do not specify a value.
-   */
-  commit_id?: string;
-  /**
-   * **Required** when using `REQUEST_CHANGES` or `COMMENT` for the `event` parameter. The body text of the pull request review.
-   */
-  body?: string;
-  /**
-   * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. By leaving this blank, you set the review action state to `PENDING`, which means you will need to [submit the pull request review](https://developer.github.com/v3/pulls/reviews/#submit-a-pull-request-review) when you are ready.
-   */
-  event?: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-  /**
-   * Use the following table to specify the location, destination, and contents of the draft review comment.
-   */
-  comments?: PullsCreateReviewParamsComments[];
-};
-type PullsCreateReviewRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsGetReviewEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * review_id parameter
-   */
-  review_id: number;
-};
-type PullsGetReviewRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsDeletePendingReviewEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * review_id parameter
-   */
-  review_id: number;
-};
-type PullsDeletePendingReviewRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsUpdateReviewEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * review_id parameter
-   */
-  review_id: number;
-  /**
-   * The body text of the pull request review.
-   */
-  body: string;
-};
-type PullsUpdateReviewRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsGetCommentsForReviewEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * review_id parameter
-   */
-  review_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type PullsGetCommentsForReviewRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsDismissReviewEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * review_id parameter
-   */
-  review_id: number;
-  /**
-   * The message for the pull request review dismissal
-   */
-  message: string;
-};
-type PullsDismissReviewRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsSubmitReviewEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * review_id parameter
-   */
-  review_id: number;
-  /**
-   * The body text of the pull request review
-   */
-  body?: string;
-  /**
-   * The review action you want to perform. The review actions include: `APPROVE`, `REQUEST_CHANGES`, or `COMMENT`. When you leave this blank, the API returns _HTTP 422 (Unrecognizable entity)_ and sets the review action state to `PENDING`, which means you will need to re-submit the pull request review using a review action.
-   */
-  event: "APPROVE" | "REQUEST_CHANGES" | "COMMENT";
-};
-type PullsSubmitReviewRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type PullsUpdateBranchEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * pull_number parameter
-   */
-  pull_number: number;
-  /**
-   * The expected SHA of the pull request's HEAD ref. This is the most recent commit on the pull request's branch. If the expected SHA does not match the pull request's HEAD, you will receive a `422 Unprocessable Entity` status. You can use the "[List commits on a repository](https://developer.github.com/v3/repos/commits/#list-commits-on-a-repository)" endpoint to find the most recent commit SHA. Default: SHA of the pull request's current HEAD ref.
-   */
-  expected_head_sha?: string;
-};
-type PullsUpdateBranchRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetReadmeEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The name of the commit/branch/tag. Default: the repository’s default branch (usually `master`)
-   */
-  ref?: string;
-};
-type ReposGetReadmeRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListReleasesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListReleasesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateReleaseEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The name of the tag.
-   */
-  tag_name: string;
-  /**
-   * Specifies the commitish value that determines where the Git tag is created from. Can be any branch or commit SHA. Unused if the Git tag already exists. Default: the repository's default branch (usually `master`).
-   */
-  target_commitish?: string;
-  /**
-   * The name of the release.
-   */
-  name?: string;
-  /**
-   * Text describing the contents of the tag.
-   */
-  body?: string;
-  /**
-   * `true` to create a draft (unpublished) release, `false` to create a published one.
-   */
-  draft?: boolean;
-  /**
-   * `true` to identify the release as a prerelease. `false` to identify the release as a full release.
-   */
-  prerelease?: boolean;
-};
-type ReposCreateReleaseRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetReleaseAssetEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * asset_id parameter
-   */
-  asset_id: number;
-};
-type ReposGetReleaseAssetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateReleaseAssetEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * asset_id parameter
-   */
-  asset_id: number;
-  /**
-   * The file name of the asset.
-   */
-  name?: string;
-  /**
-   * An alternate short description of the asset. Used in place of the filename.
-   */
-  label?: string;
-};
-type ReposUpdateReleaseAssetRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeleteReleaseAssetEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * asset_id parameter
-   */
-  asset_id: number;
-};
-type ReposDeleteReleaseAssetRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetLatestReleaseEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetLatestReleaseRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetReleaseByTagEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * tag parameter
-   */
-  tag: string;
-};
-type ReposGetReleaseByTagRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetReleaseEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * release_id parameter
-   */
-  release_id: number;
-};
-type ReposGetReleaseRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposUpdateReleaseEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * release_id parameter
-   */
-  release_id: number;
-  /**
-   * The name of the tag.
-   */
-  tag_name?: string;
-  /**
-   * Specifies the commitish value that determines where the Git tag is created from. Can be any branch or commit SHA. Unused if the Git tag already exists. Default: the repository's default branch (usually `master`).
-   */
-  target_commitish?: string;
-  /**
-   * The name of the release.
-   */
-  name?: string;
-  /**
-   * Text describing the contents of the tag.
-   */
-  body?: string;
-  /**
-   * `true` makes the release a draft, and `false` publishes the release.
-   */
-  draft?: boolean;
-  /**
-   * `true` to identify the release as a prerelease, `false` to identify the release as a full release.
-   */
-  prerelease?: boolean;
-};
-type ReposUpdateReleaseRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeleteReleaseEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * release_id parameter
-   */
-  release_id: number;
-};
-type ReposDeleteReleaseRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListAssetsForReleaseEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * release_id parameter
-   */
-  release_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListAssetsForReleaseRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListStargazersForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListStargazersForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetCodeFrequencyStatsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetCodeFrequencyStatsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetCommitActivityStatsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetCommitActivityStatsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetContributorsStatsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetContributorsStatsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetParticipationStatsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetParticipationStatsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetPunchCardStatsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetPunchCardStatsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateStatusEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * sha parameter
-   */
-  sha: string;
-  /**
-   * The state of the status. Can be one of `error`, `failure`, `pending`, or `success`.
-   */
-  state: "error" | "failure" | "pending" | "success";
-  /**
-   * The target URL to associate with this status. This URL will be linked from the GitHub UI to allow users to easily see the source of the status.
-   * For example, if your continuous integration system is posting build status, you would want to provide the deep link for the build output for this specific SHA:
-   * `http://ci.example.com/user/repo/build/sha`
-   */
-  target_url?: string;
-  /**
-   * A short description of the status.
-   */
-  description?: string;
-  /**
-   * A string label to differentiate this status from the status of other systems.
-   */
-  context?: string;
-};
-type ReposCreateStatusRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListWatchersForRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListWatchersForRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityGetRepoSubscriptionEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ActivityGetRepoSubscriptionRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivitySetRepoSubscriptionEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Determines if notifications should be received from this repository.
-   */
-  subscribed?: boolean;
-  /**
-   * Determines if all notifications should be blocked from this repository.
-   */
-  ignored?: boolean;
-};
-type ActivitySetRepoSubscriptionRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityDeleteRepoSubscriptionEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ActivityDeleteRepoSubscriptionRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListTagsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListTagsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListTeamsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListTeamsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListTopicsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposListTopicsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposReplaceTopicsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * An array of topics to add to the repository. Pass one or more topics to _replace_ the set of existing topics. Send an empty array (`[]`) to clear all topics from the repository. **Note:** Topic `names` cannot contain uppercase letters.
-   */
-  names: string[];
-};
-type ReposReplaceTopicsRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetClonesEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Must be one of: `day`, `week`.
-   */
-  per?: "day" | "week";
-};
-type ReposGetClonesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetTopPathsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetTopPathsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetTopReferrersEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposGetTopReferrersRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetViewsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * Must be one of: `day`, `week`.
-   */
-  per?: "day" | "week";
-};
-type ReposGetViewsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposTransferEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * **Required:** The username or organization name the repository will be transferred to.
-   */
-  new_owner?: string;
-  /**
-   * ID of the team or teams to add to the repository. Teams can only be added to organization-owned repositories.
-   */
-  team_ids?: number[];
-};
-type ReposTransferRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCheckVulnerabilityAlertsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposCheckVulnerabilityAlertsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposEnableVulnerabilityAlertsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposEnableVulnerabilityAlertsRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDisableVulnerabilityAlertsEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ReposDisableVulnerabilityAlertsRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposGetArchiveLinkEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * archive_format parameter
-   */
-  archive_format: string;
-  /**
-   * ref parameter
-   */
-  ref: string;
-};
-type ReposGetArchiveLinkRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateUsingTemplateEndpoint = {
-  /**
-   * template_owner parameter
-   */
-  template_owner: string;
-  /**
-   * template_repo parameter
-   */
-  template_repo: string;
-  /**
-   * The organization or person who will own the new repository. To create a new repository in an organization, the authenticated user must be a member of the specified organization.
-   */
-  owner?: string;
-  /**
-   * The name of the new repository.
-   */
-  name: string;
-  /**
-   * A short description of the new repository.
-   */
-  description?: string;
-  /**
-   * Either `true` to create a new private repository or `false` to create a new public one.
-   */
-  private?: boolean;
-};
-type ReposCreateUsingTemplateRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListPublicEndpoint = {
-  /**
-   * The integer ID of the last Repository that you've seen.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListPublicRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ScimListProvisionedIdentitiesEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Used for pagination: the index of the first result to return.
-   */
-  startIndex?: number;
-  /**
-   * Used for pagination: the number of results to return.
-   */
-  count?: number;
-  /**
-   * Filters results using the equals query parameter operator (`eq`). You can filter results that are equal to `id`, `userName`, `emails`, and `external_id`. For example, to search for an identity with the `userName` Octocat, you would use this query: `?filter=userName%20eq%20\"Octocat\"`.
-   */
-  filter?: string;
-};
-type ScimListProvisionedIdentitiesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ScimProvisionAndInviteUsersEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type ScimProvisionAndInviteUsersRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ScimProvisionInviteUsersEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type ScimProvisionInviteUsersRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ScimGetProvisioningDetailsForUserEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * scim_user_id parameter
-   */
-  scim_user_id: number;
-};
-type ScimGetProvisioningDetailsForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ScimReplaceProvisionedUserInformationEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * scim_user_id parameter
-   */
-  scim_user_id: number;
-};
-type ScimReplaceProvisionedUserInformationRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ScimUpdateProvisionedOrgMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * scim_user_id parameter
-   */
-  scim_user_id: number;
-};
-type ScimUpdateProvisionedOrgMembershipRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ScimUpdateUserAttributeEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * scim_user_id parameter
-   */
-  scim_user_id: number;
-};
-type ScimUpdateUserAttributeRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ScimRemoveUserFromOrgEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * scim_user_id parameter
-   */
-  scim_user_id: number;
-};
-type ScimRemoveUserFromOrgRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchCodeEndpoint = {
-  /**
-   * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching code](https://help.github.com/articles/searching-code/)" for a detailed list of qualifiers.
-   */
-  q: string;
-  /**
-   * Sorts the results of your query. Can only be `indexed`, which indicates how recently a file has been indexed by the GitHub search infrastructure. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-   */
-  sort?: "indexed";
-  /**
-   * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-   */
-  order?: "desc" | "asc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type SearchCodeRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchCommitsEndpoint = {
-  /**
-   * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching commits](https://help.github.com/articles/searching-commits/)" for a detailed list of qualifiers.
-   */
-  q: string;
-  /**
-   * Sorts the results of your query by `author-date` or `committer-date`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-   */
-  sort?: "author-date" | "committer-date";
-  /**
-   * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-   */
-  order?: "desc" | "asc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type SearchCommitsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchIssuesAndPullRequestsEndpoint = {
-  /**
-   * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching issues and pull requests](https://help.github.com/articles/searching-issues-and-pull-requests/)" for a detailed list of qualifiers.
-   */
-  q: string;
-  /**
-   * Sorts the results of your query by the number of `comments`, `reactions`, `reactions-+1`, `reactions--1`, `reactions-smile`, `reactions-thinking_face`, `reactions-heart`, `reactions-tada`, or `interactions`. You can also sort results by how recently the items were `created` or `updated`, Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-   */
-  sort?:
-    | "comments"
-    | "reactions"
-    | "reactions-+1"
-    | "reactions--1"
-    | "reactions-smile"
-    | "reactions-thinking_face"
-    | "reactions-heart"
-    | "reactions-tada"
-    | "interactions"
-    | "created"
-    | "updated";
-  /**
-   * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-   */
-  order?: "desc" | "asc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type SearchIssuesAndPullRequestsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchIssuesEndpoint = {
-  /**
-   * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching issues and pull requests](https://help.github.com/articles/searching-issues-and-pull-requests/)" for a detailed list of qualifiers.
-   */
-  q: string;
-  /**
-   * Sorts the results of your query by the number of `comments`, `reactions`, `reactions-+1`, `reactions--1`, `reactions-smile`, `reactions-thinking_face`, `reactions-heart`, `reactions-tada`, or `interactions`. You can also sort results by how recently the items were `created` or `updated`, Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-   */
-  sort?:
-    | "comments"
-    | "reactions"
-    | "reactions-+1"
-    | "reactions--1"
-    | "reactions-smile"
-    | "reactions-thinking_face"
-    | "reactions-heart"
-    | "reactions-tada"
-    | "interactions"
-    | "created"
-    | "updated";
-  /**
-   * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-   */
-  order?: "desc" | "asc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type SearchIssuesRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchLabelsEndpoint = {
-  /**
-   * The id of the repository.
-   */
-  repository_id: number;
-  /**
-   * The search keywords. This endpoint does not accept qualifiers in the query. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query).
-   */
-  q: string;
-  /**
-   * Sorts the results of your query by when the label was `created` or `updated`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-   */
-  sort?: "created" | "updated";
-  /**
-   * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-   */
-  order?: "desc" | "asc";
-};
-type SearchLabelsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchReposEndpoint = {
-  /**
-   * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching for repositories](https://help.github.com/articles/searching-for-repositories/)" for a detailed list of qualifiers.
-   */
-  q: string;
-  /**
-   * Sorts the results of your query by number of `stars`, `forks`, or `help-wanted-issues` or how recently the items were `updated`. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-   */
-  sort?: "stars" | "forks" | "help-wanted-issues" | "updated";
-  /**
-   * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-   */
-  order?: "desc" | "asc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type SearchReposRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchTopicsEndpoint = {
-  /**
-   * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query).
-   */
-  q: string;
-};
-type SearchTopicsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type SearchUsersEndpoint = {
-  /**
-   * The query contains one or more search keywords and qualifiers. Qualifiers allow you to limit your search to specific areas of GitHub. The REST API supports the same qualifiers as GitHub.com. To learn more about the format of the query, see [Constructing a search query](https://developer.github.com/v3/search/#constructing-a-search-query). See "[Searching users](https://help.github.com/articles/searching-users/)" for a detailed list of qualifiers.
-   */
-  q: string;
-  /**
-   * Sorts the results of your query by number of `followers` or `repositories`, or when the person `joined` GitHub. Default: [best match](https://developer.github.com/v3/search/#ranking-search-results)
-   */
-  sort?: "followers" | "repositories" | "joined";
-  /**
-   * Determines whether the first search result returned is the highest number of matches (`desc`) or lowest number of matches (`asc`). This parameter is ignored unless you provide `sort`.
-   */
-  order?: "desc" | "asc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type SearchUsersRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-};
-type TeamsGetLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-};
-type TeamsGetRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * The name of the team.
-   */
-  name: string;
-  /**
-   * The description of the team.
-   */
-  description?: string;
-  /**
-   * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-   * **For a non-nested team:**
-   * \* `secret` - only visible to organization owners and members of this team.
-   * \* `closed` - visible to all members of this organization.
-   * **For a parent or child team:**
-   * \* `closed` - visible to all members of this organization.
-   */
-  privacy?: "secret" | "closed";
-  /**
-   * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-   * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-   * \* `push` - team members can pull and push, but not administer newly-added repositories.
-   * \* `admin` - team members can pull, push and administer newly-added repositories.
-   */
-  permission?: "pull" | "push" | "admin";
-  /**
-   * The ID of a team to set as the parent team.
-   */
-  parent_team_id?: number;
-};
-type TeamsUpdateLegacyRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * The name of the team.
-   */
-  name: string;
-  /**
-   * The description of the team.
-   */
-  description?: string;
-  /**
-   * The level of privacy this team should have. Editing teams without specifying this parameter leaves `privacy` intact. The options are:
-   * **For a non-nested team:**
-   * \* `secret` - only visible to organization owners and members of this team.
-   * \* `closed` - visible to all members of this organization.
-   * **For a parent or child team:**
-   * \* `closed` - visible to all members of this organization.
-   */
-  privacy?: "secret" | "closed";
-  /**
-   * **Deprecated**. The permission that new repositories will be added to the team with when none is specified. Can be one of:
-   * \* `pull` - team members can pull, but not push to or administer newly-added repositories.
-   * \* `push` - team members can pull and push, but not administer newly-added repositories.
-   * \* `admin` - team members can pull, push and administer newly-added repositories.
-   */
-  permission?: "pull" | "push" | "admin";
-  /**
-   * The ID of a team to set as the parent team.
-   */
-  parent_team_id?: number;
-};
-type TeamsUpdateRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-};
-type TeamsDeleteLegacyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-};
-type TeamsDeleteRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListDiscussionsLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListDiscussionsLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListDiscussionsEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListDiscussionsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateDiscussionLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * The discussion post's title.
-   */
-  title: string;
-  /**
-   * The discussion post's body text.
-   */
-  body: string;
-  /**
-   * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-   */
-  private?: boolean;
-};
-type TeamsCreateDiscussionLegacyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateDiscussionEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * The discussion post's title.
-   */
-  title: string;
-  /**
-   * The discussion post's body text.
-   */
-  body: string;
-  /**
-   * Private posts are only visible to team members, organization owners, and team maintainers. Public posts are visible to all members of the organization. Set to `true` to create a private post.
-   */
-  private?: boolean;
-};
-type TeamsCreateDiscussionRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetDiscussionLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-};
-type TeamsGetDiscussionLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetDiscussionEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-};
-type TeamsGetDiscussionRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateDiscussionLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The discussion post's title.
-   */
-  title?: string;
-  /**
-   * The discussion post's body text.
-   */
-  body?: string;
-};
-type TeamsUpdateDiscussionLegacyRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateDiscussionEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The discussion post's title.
-   */
-  title?: string;
-  /**
-   * The discussion post's body text.
-   */
-  body?: string;
-};
-type TeamsUpdateDiscussionRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteDiscussionLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-};
-type TeamsDeleteDiscussionLegacyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteDiscussionEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-};
-type TeamsDeleteDiscussionRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListDiscussionCommentsLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListDiscussionCommentsLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListDiscussionCommentsEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * Sorts the discussion comments by the date they were created. To return the oldest comments first, set to `asc`. Can be one of `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListDiscussionCommentsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateDiscussionCommentLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The discussion comment's body text.
-   */
-  body: string;
-};
-type TeamsCreateDiscussionCommentLegacyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateDiscussionCommentEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The discussion comment's body text.
-   */
-  body: string;
-};
-type TeamsCreateDiscussionCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetDiscussionCommentLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-};
-type TeamsGetDiscussionCommentLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetDiscussionCommentEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-};
-type TeamsGetDiscussionCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateDiscussionCommentLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * The discussion comment's body text.
-   */
-  body: string;
-};
-type TeamsUpdateDiscussionCommentLegacyRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsUpdateDiscussionCommentEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * The discussion comment's body text.
-   */
-  body: string;
-};
-type TeamsUpdateDiscussionCommentRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteDiscussionCommentLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-};
-type TeamsDeleteDiscussionCommentLegacyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsDeleteDiscussionCommentEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-};
-type TeamsDeleteDiscussionCommentRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForTeamDiscussionCommentLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForTeamDiscussionCommentLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForTeamDiscussionCommentEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion comment.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForTeamDiscussionCommentRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForTeamDiscussionCommentLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForTeamDiscussionCommentLegacyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForTeamDiscussionCommentEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * comment_number parameter
-   */
-  comment_number: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion comment.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForTeamDiscussionCommentRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForTeamDiscussionLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForTeamDiscussionLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsListForTeamDiscussionEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * Returns a single [reaction type](https://developer.github.com/v3/reactions/#reaction-types). Omit this parameter to list all reactions to a team discussion.
-   */
-  content?:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReactionsListForTeamDiscussionRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForTeamDiscussionLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForTeamDiscussionLegacyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReactionsCreateForTeamDiscussionEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * discussion_number parameter
-   */
-  discussion_number: number;
-  /**
-   * The [reaction type](https://developer.github.com/v3/reactions/#reaction-types) to add to the team discussion.
-   */
-  content:
-    | "+1"
-    | "-1"
-    | "laugh"
-    | "confused"
-    | "heart"
-    | "hooray"
-    | "rocket"
-    | "eyes";
-};
-type ReactionsCreateForTeamDiscussionRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListPendingInvitationsLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListPendingInvitationsLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListPendingInvitationsEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListPendingInvitationsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListMembersLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Filters members returned by their role in the team. Can be one of:
-   * \* `member` - normal members of the team.
-   * \* `maintainer` - team maintainers.
-   * \* `all` - all members of the team.
-   */
-  role?: "member" | "maintainer" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListMembersLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListMembersEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Filters members returned by their role in the team. Can be one of:
-   * \* `member` - normal members of the team.
-   * \* `maintainer` - team maintainers.
-   * \* `all` - all members of the team.
-   */
-  role?: "member" | "maintainer" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListMembersRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetMemberLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsGetMemberLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetMemberEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsGetMemberRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddMemberLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsAddMemberLegacyRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddMemberEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsAddMemberRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveMemberLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsRemoveMemberLegacyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetMembershipLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsGetMembershipLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsGetMembershipEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsGetMembershipRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateMembershipLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * The role that this user should have in the team. Can be one of:
-   * \* `member` - a normal member of the team.
-   * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-   */
-  role?: "member" | "maintainer";
-};
-type TeamsAddOrUpdateMembershipLegacyRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateMembershipEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * The role that this user should have in the team. Can be one of:
-   * \* `member` - a normal member of the team.
-   * \* `maintainer` - a team maintainer. Able to add/remove other team members, promote other team members to team maintainer, and edit the team's name and description.
-   */
-  role?: "member" | "maintainer";
-};
-type TeamsAddOrUpdateMembershipRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveMembershipLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type TeamsRemoveMembershipLegacyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListProjectsLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListProjectsLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListProjectsEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListProjectsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsReviewProjectLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-};
-type TeamsReviewProjectLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsReviewProjectEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-};
-type TeamsReviewProjectRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateProjectLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * The permission to grant to the team for this project. Can be one of:
-   * \* `read` - team members can read, but not write to or administer this project.
-   * \* `write` - team members can read and write, but not administer this project.
-   * \* `admin` - team members can read, write and administer this project.
-   * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-   */
-  permission?: "read" | "write" | "admin";
-};
-type TeamsAddOrUpdateProjectLegacyRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateProjectEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-  /**
-   * The permission to grant to the team for this project. Can be one of:
-   * \* `read` - team members can read, but not write to or administer this project.
-   * \* `write` - team members can read and write, but not administer this project.
-   * \* `admin` - team members can read, write and administer this project.
-   * Default: the team's `permission` attribute will be used to determine what permission to grant the team on this project. Note that, if you choose not to pass any parameters, you'll need to set `Content-Length` to zero when calling out to this endpoint. For more information, see "[HTTP verbs](https://developer.github.com/v3/#http-verbs)."
-   */
-  permission?: "read" | "write" | "admin";
-};
-type TeamsAddOrUpdateProjectRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveProjectLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-};
-type TeamsRemoveProjectLegacyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveProjectEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * project_id parameter
-   */
-  project_id: number;
-};
-type TeamsRemoveProjectRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListReposLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListReposLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListReposEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListReposRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCheckManagesRepoLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type TeamsCheckManagesRepoLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCheckManagesRepoEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type TeamsCheckManagesRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateRepoLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The permission to grant the team on this repository. Can be one of:
-   * \* `pull` - team members can pull, but not push to or administer this repository.
-   * \* `push` - team members can pull and push, but not administer this repository.
-   * \* `admin` - team members can pull, push and administer this repository.
-   *
-   * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-   */
-  permission?: "pull" | "push" | "admin";
-};
-type TeamsAddOrUpdateRepoLegacyRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsAddOrUpdateRepoEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-  /**
-   * The permission to grant the team on this repository. Can be one of:
-   * \* `pull` - team members can pull, but not push to or administer this repository.
-   * \* `push` - team members can pull and push, but not administer this repository.
-   * \* `admin` - team members can pull, push and administer this repository.
-   *
-   * If no permission is specified, the team's `permission` attribute will be used to determine what permission to grant the team on this repository.
-   */
-  permission?: "pull" | "push" | "admin";
-};
-type TeamsAddOrUpdateRepoRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveRepoLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type TeamsRemoveRepoLegacyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsRemoveRepoEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type TeamsRemoveRepoRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListIdPGroupsForLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-};
-type TeamsListIdPGroupsForLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListIdPGroupsForEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-};
-type TeamsListIdPGroupsForRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateOrUpdateIdPGroupConnectionsLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * The IdP groups you want to connect to a GitHub team. When updating, the new `groups` object will replace the original one. You must include any existing groups that you don't want to remove.
-   */
-  groups: TeamsCreateOrUpdateIdPGroupConnectionsLegacyParamsGroups[];
-};
-type TeamsCreateOrUpdateIdPGroupConnectionsLegacyRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsCreateOrUpdateIdPGroupConnectionsEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * The IdP groups you want to connect to a GitHub team. When updating, the new `groups` object will replace the original one. You must include any existing groups that you don't want to remove.
-   */
-  groups: TeamsCreateOrUpdateIdPGroupConnectionsParamsGroups[];
-};
-type TeamsCreateOrUpdateIdPGroupConnectionsRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListChildLegacyEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListChildLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListChildEndpoint = {
-  /**
-   * team_id parameter
-   */
-  team_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListChildRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersGetAuthenticatedEndpoint = {};
-type UsersGetAuthenticatedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersUpdateAuthenticatedEndpoint = {
-  /**
-   * The new name of the user.
-   */
-  name?: string;
-  /**
-   * The publicly visible email address of the user.
-   */
-  email?: string;
-  /**
-   * The new blog URL of the user.
-   */
-  blog?: string;
-  /**
-   * The new company of the user.
-   */
-  company?: string;
-  /**
-   * The new location of the user.
-   */
-  location?: string;
-  /**
-   * The new hiring availability of the user.
-   */
-  hireable?: boolean;
-  /**
-   * The new short biography of the user.
-   */
-  bio?: string;
-};
-type UsersUpdateAuthenticatedRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListBlockedEndpoint = {};
-type UsersListBlockedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersCheckBlockedEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type UsersCheckBlockedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersBlockEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type UsersBlockRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersUnblockEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type UsersUnblockRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersTogglePrimaryEmailVisibilityEndpoint = {
-  /**
-   * Specify the _primary_ email address that needs a visibility change.
-   */
-  email: string;
-  /**
-   * Use `public` to enable an authenticated user to view the specified email address, or use `private` so this primary email address cannot be seen publicly.
-   */
-  visibility: string;
-};
-type UsersTogglePrimaryEmailVisibilityRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListEmailsEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListEmailsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersAddEmailsEndpoint = {
-  /**
-   * Adds one or more email addresses to your GitHub account. Must contain at least one email address. **Note:** Alternatively, you can pass a single email address or an `array` of emails addresses directly, but we recommend that you pass an object using the `emails` key.
-   */
-  emails: string[];
-};
-type UsersAddEmailsRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersDeleteEmailsEndpoint = {
-  /**
-   * Deletes one or more email addresses from your GitHub account. Must contain at least one email address. **Note:** Alternatively, you can pass a single email address or an `array` of emails addresses directly, but we recommend that you pass an object using the `emails` key.
-   */
-  emails: string[];
-};
-type UsersDeleteEmailsRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListFollowersForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListFollowersForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListFollowingForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListFollowingForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersCheckFollowingEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type UsersCheckFollowingRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersFollowEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type UsersFollowRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersUnfollowEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type UsersUnfollowRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListGpgKeysEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListGpgKeysRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersCreateGpgKeyEndpoint = {
-  /**
-   * Your GPG key, generated in ASCII-armored format. See "[Generating a new GPG key](https://help.github.com/articles/generating-a-new-gpg-key/)" for help creating a GPG key.
-   */
-  armored_public_key?: string;
-};
-type UsersCreateGpgKeyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersGetGpgKeyEndpoint = {
-  /**
-   * gpg_key_id parameter
-   */
-  gpg_key_id: number;
-};
-type UsersGetGpgKeyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersDeleteGpgKeyEndpoint = {
-  /**
-   * gpg_key_id parameter
-   */
-  gpg_key_id: number;
-};
-type UsersDeleteGpgKeyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListInstallationsForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListInstallationsForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListInstallationReposForAuthenticatedUserEndpoint = {
-  /**
-   * installation_id parameter
-   */
-  installation_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListInstallationReposForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsAddRepoToInstallationEndpoint = {
-  /**
-   * installation_id parameter
-   */
-  installation_id: number;
-  /**
-   * repository_id parameter
-   */
-  repository_id: number;
-};
-type AppsAddRepoToInstallationRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsRemoveRepoFromInstallationEndpoint = {
-  /**
-   * installation_id parameter
-   */
-  installation_id: number;
-  /**
-   * repository_id parameter
-   */
-  repository_id: number;
-};
-type AppsRemoveRepoFromInstallationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type IssuesListForAuthenticatedUserEndpoint = {
-  /**
-   * Indicates which sorts of issues to return. Can be one of:
-   * \* `assigned`: Issues assigned to you
-   * \* `created`: Issues created by you
-   * \* `mentioned`: Issues mentioning you
-   * \* `subscribed`: Issues you're subscribed to updates for
-   * \* `all`: All issues the authenticated user can see, regardless of participation or creation
-   */
-  filter?: "assigned" | "created" | "mentioned" | "subscribed" | "all";
-  /**
-   * Indicates the state of the issues to return. Can be either `open`, `closed`, or `all`.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * A list of comma separated label names. Example: `bug,ui,@high`
-   */
-  labels?: string;
-  /**
-   * What to sort results by. Can be either `created`, `updated`, `comments`.
-   */
-  sort?: "created" | "updated" | "comments";
-  /**
-   * The direction of the sort. Can be either `asc` or `desc`.
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Only issues updated at or after this time are returned. This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type IssuesListForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListPublicKeysEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListPublicKeysRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersCreatePublicKeyEndpoint = {
-  /**
-   * A descriptive name for the new key. Use a name that will help you recognize this key in your GitHub account. For example, if you're using a personal Mac, you might call this key "Personal MacBook Air".
-   */
-  title?: string;
-  /**
-   * The public SSH key to add to your GitHub account. See "[Generating a new SSH key](https://help.github.com/articles/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent/)" for guidance on how to create a public SSH key.
-   */
-  key?: string;
-};
-type UsersCreatePublicKeyRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersGetPublicKeyEndpoint = {
-  /**
-   * key_id parameter
-   */
-  key_id: number;
-};
-type UsersGetPublicKeyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersDeletePublicKeyEndpoint = {
-  /**
-   * key_id parameter
-   */
-  key_id: number;
-};
-type UsersDeletePublicKeyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListMarketplacePurchasesForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListMarketplacePurchasesForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsListMarketplacePurchasesForAuthenticatedUserStubbedEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type AppsListMarketplacePurchasesForAuthenticatedUserStubbedRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListMembershipsEndpoint = {
-  /**
-   * Indicates the state of the memberships to return. Can be either `active` or `pending`. If not specified, the API returns both active and pending memberships.
-   */
-  state?: "active" | "pending";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListMembershipsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsGetMembershipForAuthenticatedUserEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-};
-type OrgsGetMembershipForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsUpdateMembershipEndpoint = {
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * The state that the membership should be in. Only `"active"` will be accepted.
-   */
-  state: "active";
-};
-type OrgsUpdateMembershipRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsStartForAuthenticatedUserEndpoint = {
-  /**
-   * An array of repositories to include in the migration.
-   */
-  repositories: string[];
-  /**
-   * Locks the `repositories` to prevent changes during the migration when set to `true`.
-   */
-  lock_repositories?: boolean;
-  /**
-   * Does not include attachments uploaded to GitHub.com in the migration data when set to `true`. Excluding attachments will reduce the migration archive file size.
-   */
-  exclude_attachments?: boolean;
-};
-type MigrationsStartForAuthenticatedUserRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsListForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type MigrationsListForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsGetStatusForAuthenticatedUserEndpoint = {
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-};
-type MigrationsGetStatusForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsGetArchiveForAuthenticatedUserEndpoint = {
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-};
-type MigrationsGetArchiveForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsDeleteArchiveForAuthenticatedUserEndpoint = {
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-};
-type MigrationsDeleteArchiveForAuthenticatedUserRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsUnlockRepoForAuthenticatedUserEndpoint = {
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-  /**
-   * repo_name parameter
-   */
-  repo_name: string;
-};
-type MigrationsUnlockRepoForAuthenticatedUserRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsCreateForAuthenticatedUserEndpoint = {
-  /**
-   * The name of the project.
-   */
-  name: string;
-  /**
-   * The description of the project.
-   */
-  body?: string;
-};
-type ProjectsCreateForAuthenticatedUserRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListPublicEmailsEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListPublicEmailsRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListEndpoint = {
-  /**
-   * Can be one of `all`, `public`, or `private`.
-   */
-  visibility?: "all" | "public" | "private";
-  /**
-   * Comma-separated list of values. Can include:
-   * \* `owner`: Repositories that are owned by the authenticated user.
-   * \* `collaborator`: Repositories that the user has been added to as a collaborator.
-   * \* `organization_member`: Repositories that the user has access to through being a member of an organization. This includes every repository on every team that the user is on.
-   */
-  affiliation?: string;
-  /**
-   * Can be one of `all`, `owner`, `public`, `private`, `member`. Default: `all`
-   *
-   * Will cause a `422` error if used in the same request as **visibility** or **affiliation**. Will cause a `422` error if used in the same request as **visibility** or **affiliation**.
-   */
-  type?: "all" | "owner" | "public" | "private" | "member";
-  /**
-   * Can be one of `created`, `updated`, `pushed`, `full_name`.
-   */
-  sort?: "created" | "updated" | "pushed" | "full_name";
-  /**
-   * Can be one of `asc` or `desc`. Default: `asc` when using `full_name`, otherwise `desc`
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposCreateForAuthenticatedUserEndpoint = {
-  /**
-   * The name of the repository.
-   */
-  name: string;
-  /**
-   * A short description of the repository.
-   */
-  description?: string;
-  /**
-   * A URL with more information about the repository.
-   */
-  homepage?: string;
-  /**
-   * Either `true` to create a private repository or `false` to create a public one. Creating private repositories requires a paid GitHub account.
-   */
-  private?: boolean;
-  /**
-   * Can be `public` or `private`. If your organization is associated with an enterprise account using GitHub Enterprise Cloud, `visibility` can also be `internal`. For more information, see "[Creating an internal repository](https://help.github.com/github/creating-cloning-and-archiving-repositories/creating-an-internal-repository)" in the GitHub Help documentation.
-   * The `visibility` parameter overrides the `private` parameter when you use both parameters with the `nebula-preview` preview header.
-   */
-  visibility?: "public" | "private" | "visibility" | "internal";
-  /**
-   * Either `true` to enable issues for this repository or `false` to disable them.
-   */
-  has_issues?: boolean;
-  /**
-   * Either `true` to enable projects for this repository or `false` to disable them. **Note:** If you're creating a repository in an organization that has disabled repository projects, the default is `false`, and if you pass `true`, the API returns an error.
-   */
-  has_projects?: boolean;
-  /**
-   * Either `true` to enable the wiki for this repository or `false` to disable it.
-   */
-  has_wiki?: boolean;
-  /**
-   * Either `true` to make this repo available as a template repository or `false` to prevent it.
-   */
-  is_template?: boolean;
-  /**
-   * The id of the team that will be granted access to this repository. This is only valid when creating a repository in an organization.
-   */
-  team_id?: number;
-  /**
-   * Pass `true` to create an initial commit with empty README.
-   */
-  auto_init?: boolean;
-  /**
-   * Desired language or platform [.gitignore template](https://github.com/github/gitignore) to apply. Use the name of the template without the extension. For example, "Haskell".
-   */
-  gitignore_template?: string;
-  /**
-   * Choose an [open source license template](https://choosealicense.com/) that best suits your needs, and then use the [license keyword](https://help.github.com/articles/licensing-a-repository/#searching-github-by-license-type) as the `license_template` string. For example, "mit" or "mpl-2.0".
-   */
-  license_template?: string;
-  /**
-   * Either `true` to allow squash-merging pull requests, or `false` to prevent squash-merging.
-   */
-  allow_squash_merge?: boolean;
-  /**
-   * Either `true` to allow merging pull requests with a merge commit, or `false` to prevent merging pull requests with merge commits.
-   */
-  allow_merge_commit?: boolean;
-  /**
-   * Either `true` to allow rebase-merging pull requests, or `false` to prevent rebase-merging.
-   */
-  allow_rebase_merge?: boolean;
-  /**
-   * Either `true` to allow automatically deleting head branches when pull requests are merged, or `false` to prevent automatic deletion.
-   */
-  delete_branch_on_merge?: boolean;
-};
-type ReposCreateForAuthenticatedUserRequestOptions = {
-  method: "POST";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListInvitationsForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListInvitationsForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposAcceptInvitationEndpoint = {
-  /**
-   * invitation_id parameter
-   */
-  invitation_id: number;
-};
-type ReposAcceptInvitationRequestOptions = {
-  method: "PATCH";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposDeclineInvitationEndpoint = {
-  /**
-   * invitation_id parameter
-   */
-  invitation_id: number;
-};
-type ReposDeclineInvitationRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListReposStarredByAuthenticatedUserEndpoint = {
-  /**
-   * One of `created` (when the repository was starred) or `updated` (when it was last pushed to).
-   */
-  sort?: "created" | "updated";
-  /**
-   * One of `asc` (ascending) or `desc` (descending).
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListReposStarredByAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityCheckStarringRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ActivityCheckStarringRepoRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityStarRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ActivityStarRepoRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityUnstarRepoEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ActivityUnstarRepoRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListWatchedReposForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListWatchedReposForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityCheckWatchingRepoLegacyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ActivityCheckWatchingRepoLegacyRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityWatchRepoLegacyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ActivityWatchRepoLegacyRequestOptions = {
-  method: "PUT";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityStopWatchingRepoLegacyEndpoint = {
-  /**
-   * owner parameter
-   */
-  owner: string;
-  /**
-   * repo parameter
-   */
-  repo: string;
-};
-type ActivityStopWatchingRepoLegacyRequestOptions = {
-  method: "DELETE";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type TeamsListForAuthenticatedUserEndpoint = {
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type TeamsListForAuthenticatedUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type MigrationsListReposForUserEndpoint = {
-  /**
-   * migration_id parameter
-   */
-  migration_id: number;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type MigrationsListReposForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListEndpoint = {
-  /**
-   * The integer ID of the last User that you've seen.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersGetByUsernameEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type UsersGetByUsernameRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListEventsForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListEventsForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListEventsForOrgEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * org parameter
-   */
-  org: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListEventsForOrgRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListPublicEventsForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListPublicEventsForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListFollowersForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListFollowersForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListFollowingForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListFollowingForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersCheckFollowingForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * target_user parameter
-   */
-  target_user: string;
-};
-type UsersCheckFollowingForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type GistsListPublicForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * This is a timestamp in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format: `YYYY-MM-DDTHH:MM:SSZ`. Only gists updated at or after this time are returned.
-   */
-  since?: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type GistsListPublicForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListGpgKeysForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListGpgKeysForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersGetContextForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Identifies which additional information you'd like to receive about the person's hovercard. Can be `organization`, `repository`, `issue`, `pull_request`. **Required** when using `subject_id`.
-   */
-  subject_type?: "organization" | "repository" | "issue" | "pull_request";
-  /**
-   * Uses the ID for the `subject_type` you specified. **Required** when using `subject_type`.
-   */
-  subject_id?: string;
-};
-type UsersGetContextForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsGetUserInstallationEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type AppsGetUserInstallationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type AppsFindUserInstallationEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-};
-type AppsFindUserInstallationRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type UsersListPublicKeysForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type UsersListPublicKeysForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type OrgsListForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type OrgsListForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ProjectsListForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Indicates the state of the projects to return. Can be either `open`, `closed`, or `all`.
-   */
-  state?: "open" | "closed" | "all";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ProjectsListForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListReceivedEventsForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListReceivedEventsForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListReceivedPublicEventsForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListReceivedPublicEventsForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ReposListForUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Can be one of `all`, `owner`, `member`.
-   */
-  type?: "all" | "owner" | "member";
-  /**
-   * Can be one of `created`, `updated`, `pushed`, `full_name`.
-   */
-  sort?: "created" | "updated" | "pushed" | "full_name";
-  /**
-   * Can be one of `asc` or `desc`. Default: `asc` when using `full_name`, otherwise `desc`
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ReposListForUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListReposStarredByUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * One of `created` (when the repository was starred) or `updated` (when it was last pushed to).
-   */
-  sort?: "created" | "updated";
-  /**
-   * One of `asc` (ascending) or `desc` (descending).
-   */
-  direction?: "asc" | "desc";
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListReposStarredByUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-type ActivityListReposWatchedByUserEndpoint = {
-  /**
-   * username parameter
-   */
-  username: string;
-  /**
-   * Results per page (max 100)
-   */
-  per_page?: number;
-  /**
-   * Page number of the results to fetch.
-   */
-  page?: number;
-};
-type ActivityListReposWatchedByUserRequestOptions = {
-  method: "GET";
-  url: Url;
-  headers: RequestHeaders;
-  request: RequestRequestOptions;
-};
-
-export type AppsCreateInstallationTokenParamsPermissions = {};
-export type GistsCreateParamsFiles = {
-  content?: string;
-};
-export type GistsUpdateParamsFiles = {
-  content?: string;
-  filename?: string;
-};
-export type OrgsCreateHookParamsConfig = {
-  url: string;
-  content_type?: string;
-  secret?: string;
-  insecure_ssl?: string;
-};
-export type OrgsUpdateHookParamsConfig = {
-  url: string;
-  content_type?: string;
-  secret?: string;
-  insecure_ssl?: string;
-};
-export type TeamsCreateOrUpdateIdPGroupConnectionsInOrgParamsGroups = {
-  group_id: string;
-  group_name: string;
-  group_description: string;
-};
-export type ReposUpdateBranchProtectionParamsRequiredStatusChecks = {
-  strict: boolean;
-  contexts: string[];
-};
-export type ReposUpdateBranchProtectionParamsRequiredPullRequestReviews = {
-  dismissal_restrictions?: ReposUpdateBranchProtectionParamsRequiredPullRequestReviewsDismissalRestrictions;
-  dismiss_stale_reviews?: boolean;
-  require_code_owner_reviews?: boolean;
-  required_approving_review_count?: number;
-};
-export type ReposUpdateBranchProtectionParamsRequiredPullRequestReviewsDismissalRestrictions = {
-  users?: string[];
-  teams?: string[];
-};
-export type ReposUpdateBranchProtectionParamsRestrictions = {
-  users: string[];
-  teams: string[];
-  apps?: string[];
-};
-export type ReposUpdateProtectedBranchPullRequestReviewEnforcementParamsDismissalRestrictions = {
-  users?: string[];
-  teams?: string[];
-};
-export type ChecksCreateParamsOutput = {
-  title: string;
-  summary: string;
-  text?: string;
-  annotations?: ChecksCreateParamsOutputAnnotations[];
-  images?: ChecksCreateParamsOutputImages[];
-};
-export type ChecksCreateParamsOutputAnnotations = {
-  path: string;
-  start_line: number;
-  end_line: number;
-  start_column?: number;
-  end_column?: number;
-  annotation_level: "notice" | "warning" | "failure";
-  message: string;
-  title?: string;
-  raw_details?: string;
-};
-export type ChecksCreateParamsOutputImages = {
-  alt: string;
-  image_url: string;
-  caption?: string;
-};
-export type ChecksCreateParamsActions = {
-  label: string;
-  description: string;
-  identifier: string;
-};
-export type ChecksUpdateParamsOutput = {
-  title?: string;
-  summary: string;
-  text?: string;
-  annotations?: ChecksUpdateParamsOutputAnnotations[];
-  images?: ChecksUpdateParamsOutputImages[];
-};
-export type ChecksUpdateParamsOutputAnnotations = {
-  path: string;
-  start_line: number;
-  end_line: number;
-  start_column?: number;
-  end_column?: number;
-  annotation_level: "notice" | "warning" | "failure";
-  message: string;
-  title?: string;
-  raw_details?: string;
-};
-export type ChecksUpdateParamsOutputImages = {
-  alt: string;
-  image_url: string;
-  caption?: string;
-};
-export type ChecksUpdateParamsActions = {
-  label: string;
-  description: string;
-  identifier: string;
-};
-export type ChecksSetSuitesPreferencesParamsAutoTriggerChecks = {
-  app_id: number;
-  setting: boolean;
-};
-export type ReposCreateOrUpdateFileParamsCommitter = {
-  name: string;
-  email: string;
-};
-export type ReposCreateOrUpdateFileParamsAuthor = {
-  name: string;
-  email: string;
-};
-export type ReposCreateFileParamsCommitter = {
-  name: string;
-  email: string;
-};
-export type ReposCreateFileParamsAuthor = {
-  name: string;
-  email: string;
-};
-export type ReposUpdateFileParamsCommitter = {
-  name: string;
-  email: string;
-};
-export type ReposUpdateFileParamsAuthor = {
-  name: string;
-  email: string;
-};
-export type ReposDeleteFileParamsCommitter = {
-  name?: string;
-  email?: string;
-};
-export type ReposDeleteFileParamsAuthor = {
-  name?: string;
-  email?: string;
-};
-export type ReposCreateDispatchEventParamsClientPayload = {};
-export type GitCreateCommitParamsAuthor = {
-  name?: string;
-  email?: string;
-  date?: string;
-};
-export type GitCreateCommitParamsCommitter = {
-  name?: string;
-  email?: string;
-  date?: string;
-};
-export type GitCreateTagParamsTagger = {
-  name?: string;
-  email?: string;
-  date?: string;
-};
-export type GitCreateTreeParamsTree = {
-  path?: string;
-  mode?: "100644" | "100755" | "040000" | "160000" | "120000";
-  type?: "blob" | "tree" | "commit";
-  sha?: string | null;
-  content?: string;
-};
-export type ReposCreateHookParamsConfig = {
-  url: string;
-  content_type?: string;
-  secret?: string;
-  insecure_ssl?: string;
-};
-export type ReposUpdateHookParamsConfig = {
-  url: string;
-  content_type?: string;
-  secret?: string;
-  insecure_ssl?: string;
-};
-export type ReposEnablePagesSiteParamsSource = {
-  branch?: "master" | "gh-pages";
-  path?: string;
-};
-export type PullsCreateReviewParamsComments = {
-  path: string;
-  position: number;
-  body: string;
-};
-export type TeamsCreateOrUpdateIdPGroupConnectionsLegacyParamsGroups = {
-  group_id: string;
-  group_name: string;
-  group_description: string;
-};
-export type TeamsCreateOrUpdateIdPGroupConnectionsParamsGroups = {
-  group_id: string;
-  group_name: string;
-  group_description: string;
-};
diff --git a/node_modules/@octokit/types/src/generated/README.md b/node_modules/@octokit/types/src/generated/README.md
deleted file mode 100644
index 2bc90d201..000000000
--- a/node_modules/@octokit/types/src/generated/README.md
+++ /dev/null
@@ -1,3 +0,0 @@
-# ⚠️ Do not edit files in this folder
-
-All files are generated. Manual changes will be overwritten. If you find a problem, please look into how they are generated. When in doubt, please open a new issue.
diff --git a/node_modules/@octokit/types/src/index.ts b/node_modules/@octokit/types/src/index.ts
deleted file mode 100644
index 200f0a245..000000000
--- a/node_modules/@octokit/types/src/index.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-export * from "./AuthInterface";
-export * from "./EndpointDefaults";
-export * from "./EndpointInterface";
-export * from "./EndpointOptions";
-export * from "./Fetch";
-export * from "./OctokitResponse";
-export * from "./RequestHeaders";
-export * from "./RequestInterface";
-export * from "./RequestMethod";
-export * from "./RequestOptions";
-export * from "./RequestParameters";
-export * from "./RequestRequestOptions";
-export * from "./ResponseHeaders";
-export * from "./Route";
-export * from "./Signal";
-export * from "./StrategyInterface";
-export * from "./Url";
-export * from "./VERSION";
diff --git a/node_modules/@sinonjs/commons/package.json b/node_modules/@sinonjs/commons/package.json
index 65d4e9af1..c645b3142 100644
--- a/node_modules/@sinonjs/commons/package.json
+++ b/node_modules/@sinonjs/commons/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@sinonjs/commons@1.7.0",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_development": true,
@@ -24,11 +24,12 @@
     "fetchSpec": "1.7.0"
   },
   "_requiredBy": [
+    "/@sinonjs/fake-timers",
     "/lolex"
   ],
   "_resolved": "https://registry.npmjs.org/@sinonjs/commons/-/commons-1.7.0.tgz",
   "_spec": "1.7.0",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "author": "",
   "bugs": {
     "url": "https://github.com/sinonjs/commons/issues"
diff --git a/node_modules/@sinonjs/fake-timers/CHANGELOG.md b/node_modules/@sinonjs/fake-timers/CHANGELOG.md
new file mode 100644
index 000000000..73851553a
--- /dev/null
+++ b/node_modules/@sinonjs/fake-timers/CHANGELOG.md
@@ -0,0 +1,347 @@
+
+6.0.1 / 2020-03-24
+==================
+
+  * Support util.promisify in Node (#223)
+
+6.0.0 / 2020-02-04
+==================
+
+  * Rename project to `@sinonjs/fake-timers`
+
+5.1.2 / 2019-12-19
+==================
+
+  * Use global from `@sinonjs/commons`
+  * Fix setSystemTime affects hrtime if its called multiple times.
+  * Test coverage: use nyc
+
+5.1.1 / 2019-10-21
+==================
+
+  * Fix global ReferenceError (#273)
+
+5.1.0 / 2019-10-14
+==================
+
+  * Upgrade lolex with async versions of most calls
+
+5.0.1 / 2019-10-10
+==================
+
+  * Upgrade eslint, add prettier
+  * Use `--no-detect-globals` to bundle and test lolex (#270)
+
+5.0.0 / 2019-10-07
+==================
+
+  * Avoid installing setImmediate in unsupported environments
+  * fix #246: non-constructor Date() should return a string
+
+4.2.0 / 2019-08-04
+==================
+
+  * Fix support for replacing the JSDOM performance field
+
+4.1.0 / 2019-06-04
+==================
+
+  * Fix crash on Bash version 3 (macOS)
+  * Support hrtime.bigint()
+  * fix: count microtasks in countTimers
+  * Return empty arrays for performance.getEntries, other relevant methods
+
+4.0.1 / 2019-04-17
+==================
+
+  * Remove sinon: added by mistake
+
+4.0.0 / 2019-04-17
+==================
+
+  * Drop support for IE9 and IE10: link to supported browsers in README
+  * No more ExperimentalWarnings in Node environment for queueMicrotask() if it's not used in user's code
+
+3.1.0 / 2019-02-11
+==================
+
+  * default timeout set to 50ms
+  * first implementation of requestIdleCallback and cancelIdleCallback
+  * fixed accidentally performance.now() -> x.now() replacement
+  * added queueMicrotask
+
+3.0.0 / 2018-10-08
+==================
+
+  * Add countTimers method
+  * Disallow negative ticks (breaking API change!)
+  * Avoid exposing hrNow
+  * Fix #207 - round-off errors in `hrtime`
+  * Truncate sub-nanosecond values for `hrtime`
+  * Truncate sub-millisceond values for `Date.now()`
+
+v2.7.5 / 2018-09-19
+==================
+
+  * fix: handle floating point in hrtime (#210)
+  * fix: reset high resolution timer on clock.reset (#209)
+  * Add an error when creating a clock with no Date object (#205)
+
+v2.7.4 / 2018-09-05
+==================
+
+  * performance.mark related fixes for failing Safari, IE 10 and IE 11 tests
+
+v2.7.3 / 2018-09-05
+==================
+
+  * Fix for #200: TypeError on performance.mark
+
+v2.7.2 / 2018-09-04
+==================
+
+  * fix(setInterval): parse `timeout` arg to integer (#202)
+  * Upgrade insecure dependencies with npm audit fix
+
+v2.7.1 / 2018-07-06
+==================
+  * Fix performance replacement on iOS 9.3
+
+v2.7.0 / 2018-05-25
+==================
+
+  * reset clock to start
+  * check Performance exists before touching it
+
+v2.6.0 / 2018-05-16
+==================
+
+  * Fix `reset` and document it publicly Clear microtick jobs and set now to 0 in reset (#179)
+  * Access Date on `_global` (#178)
+
+v2.5.0 / 2018-05-13
+==================
+
+  * feat: respect loopLimit in runMicrotasks (#172)
+  * assign performance as a property, not as a function
+
+v2.4.2 / 2018-05-11
+===================
+  * Upgrade Mochify to v5.6 (#162) fixed #170
+  * Access `Performance` via `_global` (#168)
+
+v2.4.1 / 2018-05-08
+==================
+
+  * fix: handle negative infinity timeout (#165)
+
+v2.4.0 / 2018-05-08
+==================
+
+  * Add `withGlobal` export
+  * expose runMicrotasks
+  * Fix that performance.mark is undefined after timer install
+
+v2.3.2 / 2018-01-29
+==================
+
+* Add files section to package.json to avoid unnecessary package bloat #154
+* Add missing functions in default `toFake` #150
+
+v2.3.1 / 2017-11-22
+==================
+
+  * bugfix for a setTimeout() or setSystemTime() within a nextTick() call. (#145)
+
+v2.3.0 / 2017-11-08
+==================
+
+  * Stops leak of (request|cancel)AnimationFrame into global scope. (#143)
+  * return timers on uninstall
+
+v2.2.0 / 2017-11-07
+==================
+
+  * Add support for requestAnimationFrame
+  * fix negative timeout bug
+
+v2.1.3 / 2017-10-03
+==================
+
+  * add module entry point (#133)
+
+v2.1.2 / 2017-07-25
+==================
+
+  * - does not fake process.nextTick by default - added .idea folder to .gitignore - fixed documentation - added clock teardowns in tests
+  * overflowing the timer correctly (issue #67)
+
+v2.1.1 / 2017-07-19
+==================
+
+  * support passing parameters in nextTick (fixes #122)
+
+v2.1.0 / 2017-07-18
+==================
+
+  * Throw error on incorrect install use (#112)
+  * Add support for process.nextTick
+  * lolex can now attach itself to the system timers and automatically ad… (#102)
+  * update hrtime when an interval ticks
+
+v2.0.0 / 2017-07-13
+==================
+
+  * New install() signature
+  * Add support for performance.now (#106)
+  * Fix issue with tick(): setSystemClock then throw
+  * Update old dependencies
+  * Added support to automatically increment time (#85)
+  * Changed internal uninstall method signature
+
+v1.6.0 / 2017-02-25
+===================
+
+  * Use common Sinon.JS eslint config
+  * Allow install to be called with date object
+  * Remove wrapper function
+  * Fixed typo in clock.runAll error
+
+v1.5.2 / 2016-11-10
+===================
+
+  * Upgrade mocha to latest
+  * Only overwrite globals when running in IE
+
+1.5.1 / 2016-07-26
+==================
+
+  * Fix setInterval() behavior with string times
+  * Incorporate test from PR #65
+  * Fix issue #59: context object required 'process'
+  * fixed a case where runAll was called and there are no timers (#70)
+  * Correct the clear{Interval|Timeout|Immediate} error message when calling `set*` for a different type of timer.
+  * Lots of minor changes to tooling and the build process
+
+v1.5.0 / 2016-05-18
+===================
+
+  * 1.5.0
+  * Check for existence of `process` before using it
+  * Run to last existing timer
+  * Add runAll method to run timers until empty
+  * Turn off Sauce Labs tests for pull requests
+  * Add tests demonstrating that a fake Date could be created with one argument as a String since this string is in a format recognized by the Date.parse() method.
+  * Run test-cloud on Travis
+  * Add process.hrtime()
+  * Add bithound badge to Readme.md
+  * Make Travis also run tests in node 4.2
+  * Update jslint, referee, sinon, browserify, mocha, mochify
+  * Rename src/lolex.js to src/lolex-src.js to avoid bithound ignoring it
+  * Add .bithoundrc
+
+v1.4.0 / 2015-12-11
+===================
+
+  * 1.4.0
+  * Remove BASH syntax in lint script
+  * correct test descriptions to match the tests
+  * correct parseTime() error message so it matches behavior
+  * don't run test-cloud as part of npm test
+  * doc: full API reference
+  * doc: update 'Running tests' section
+  * doc: update 'Faking the native timers' section
+  * doc: remove requestAnimationFrame
+  * Implement clock.next()
+  * Run lint in CI
+  * Fix jslint errors
+
+v1.3.2 / 2015-09-22
+===================
+
+  * 1.3.2
+  * Fix for breaking shimmed setImmediate
+
+v1.3.1 / 2015-08-20
+===================
+
+  * Remove error whos reason is no longer accurate
+
+v1.3.0 / 2015-08-19
+===================
+
+  * 1.3.0
+  * Throw exception on wrong use of clearXYZ()
+  * Fix for Sinon.JS issue #808  :add setSystemTime() function
+  * Fix for Sinon.JS issue #766: clearTimeout() no longer clears Immediate/Interval and vice versa
+  * Update Readme.md to point to LICENSE file
+  * Fix error in readme about running tests
+  * Fix for warning about SPDX license format on npm install
+
+v1.2.2 / 2015-07-22
+===================
+
+  * 1.2.2
+  * Fixing lint mistake
+  * Update travis to use node@0.12
+  * Fix complaint about missing fake setImmediate
+  * Use license in package.json
+
+v1.2.1 / 2015-01-06
+===================
+
+  * New build
+  * Dodge JSLint...
+  * Up version
+  * Proper fix for writable globals in IE
+  * Make timers writable in old IEs
+
+v1.2.0 / 2014-12-12
+===================
+
+  * 1.2.0
+  * Fix Sinon.JS issue 624
+  * Lint the test files also
+  * Add .jslintrc
+  * Delay setImmediate if it is during tick call
+  * Add test case
+  * Test behaviour of hasOwnProperty beforehand
+  * Compare now() with delta
+  * Use undefined for defined predicate
+  * Put setImmediate in toFake list
+  * Capture clock instance for uninstall
+  * Restore commented out tests
+  * Add JSLint verification to test
+  * Configure Travis to run tests in node 0.10.x
+  * Add .editorconfig
+  * Fail when faking Date but not setTimeout/setInterval
+
+v1.1.10 / 2014-11-14
+====================
+
+  * 1.1.0 Fixes setImmediate problems
+  * Rely on `timer` initialization to null
+  * Timer assembly occurs at addTimer callsites
+  * Sort immediate timers before non-immediate
+  * Add createdAt to timers
+  * Sort timers by multiple criteria, not just callAt
+  * Refactor firstTimerInRange
+  * Rename `timeouts` property to `timers`
+  * addTimer is options-driven
+
+v1.0.0 / 2014-11-12
+===================
+
+  * Add built file for browsers
+  * Fix URL
+  * Don't run tests that require global.__proto__ on IE 9 and IE 10
+  * Add "bundle" script to create standalone UMD bundle with browserify
+  * Float with new test framework versions
+  * Remove redundant module prefix
+  * Let Browserify set "global" for us
+  * Change test framework from Buster to Mocha and Mochify
+  * Make timer functions independent on `this`
+  * Change APIs according to Readme
+  * Change clock-creating interface
+  * Change Github paths
+  * Basically working extraction from Sinon.JS
diff --git a/node_modules/@sinonjs/fake-timers/LICENSE b/node_modules/@sinonjs/fake-timers/LICENSE
new file mode 100644
index 000000000..eb84755e1
--- /dev/null
+++ b/node_modules/@sinonjs/fake-timers/LICENSE
@@ -0,0 +1,11 @@
+Copyright (c) 2010-2014, Christian Johansen, christian@cjohansen.no. All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 
\ No newline at end of file
diff --git a/node_modules/@sinonjs/fake-timers/README.md b/node_modules/@sinonjs/fake-timers/README.md
new file mode 100644
index 000000000..d8f3c1285
--- /dev/null
+++ b/node_modules/@sinonjs/fake-timers/README.md
@@ -0,0 +1,341 @@
+# `@sinonjs/fake-timers`
+
+[![CircleCI](https://circleci.com/gh/sinonjs/fake-timers.svg?style=svg)](https://circleci.com/gh/sinonjs/fake-timers)
+[![codecov](https://codecov.io/gh/sinonjs/fake-timers/branch/master/graph/badge.svg)](https://codecov.io/gh/sinonjs/fake-timers)
+<a href="CODE_OF_CONDUCT.md"><img src="https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg" alt="Contributor Covenant" /></a>
+
+JavaScript implementation of the timer APIs; `setTimeout`, `clearTimeout`, `setImmediate`, `clearImmediate`, `setInterval`, `clearInterval`, `requestAnimationFrame`, `cancelAnimationFrame`, `requestIdleCallback`, and `cancelIdleCallback`, along with a clock instance that controls the flow of time. FakeTimers also provides a `Date` implementation that gets its time from the clock.
+
+In addition in browser environment `@sinonjs/fake-timers` provides a `performance` implementation that gets its time from the clock. In Node environments FakeTimers provides a `nextTick` implementation that is synchronized with the clock - and a `process.hrtime` shim that works with the clock.
+
+`@sinonjs/fake-timers` can be used to simulate passing time in automated tests and other
+situations where you want the scheduling semantics, but don't want to actually
+wait.
+
+`@sinonjs/fake-timers` is extracted from [Sinon.JS](https://github.com/sinonjs/sinon.js) and targets the [same runtimes](https://sinonjs.org/releases/latest/#supported-runtimes).
+
+## Installation
+
+`@sinonjs/fake-timers` can be used in both Node and browser environments. Installation is as easy as
+
+```sh
+npm install @sinonjs/fake-timers
+```
+
+If you want to use `@sinonjs/fake-timers` in a browser you can use [the pre-built
+version](https://github.com/sinonjs/fake-timers/blob/master/fake-timers.js) available in the repo
+and the npm package. Using npm you only need to reference `./node_modules/@sinonjs/fake-timers/fake-timers.js` in your `<script>` tags.
+
+You are always free to [build it yourself](https://github.com/sinonjs/fake-timers/blob/53ea4d9b9e5bcff53cc7c9755dc9aa340368cf1c/package.json#L22), of course.
+
+## Usage
+
+To use `@sinonjs/fake-timers`, create a new clock, schedule events on it using the timer
+functions and pass time using the `tick` method.
+
+```js
+// In the browser distribution, a global `FakeTimers` is already available
+var FakeTimers = require("@sinonjs/fake-timers");
+var clock = FakeTimers.createClock();
+
+clock.setTimeout(function () {
+    console.log("The poblano is a mild chili pepper originating in the state of Puebla, Mexico.");
+}, 15);
+
+// ...
+
+clock.tick(15);
+```
+
+Upon executing the last line, an interesting fact about the
+[Poblano](http://en.wikipedia.org/wiki/Poblano) will be printed synchronously to
+the screen. If you want to simulate asynchronous behavior, you have to use your
+imagination when calling the various functions.
+
+The `next`, `runAll`, `runToFrame`, and `runToLast` methods are available to advance the clock. See the
+API Reference for more details.
+
+### Faking the native timers
+
+When using `@sinonjs/fake-timers` to test timers, you will most likely want to replace the native
+timers such that calling `setTimeout` actually schedules a callback with your
+clock instance, not the browser's internals.
+
+Calling `install` with no arguments achieves this. You can call `uninstall`
+later to restore things as they were again.
+
+```js
+// In the browser distribution, a global `FakeTimers` is already available
+var FakeTimers = require("@sinonjs/fake-timers");
+
+var clock = FakeTimers.install();
+// Equivalent to
+// var clock = FakeTimers.install(typeof global !== "undefined" ? global : window);
+
+setTimeout(fn, 15); // Schedules with clock.setTimeout
+
+clock.uninstall();
+// setTimeout is restored to the native implementation
+```
+
+To hijack timers in another context pass it to the `install` method.
+
+```js
+var FakeTimers = require("@sinonjs/fake-timers");
+var context = {
+    setTimeout: setTimeout // By default context.setTimeout uses the global setTimeout
+}
+var clock = FakeTimers.install({target: context});
+
+context.setTimeout(fn, 15); // Schedules with clock.setTimeout
+
+clock.uninstall();
+// context.setTimeout is restored to the original implementation
+```
+
+Usually you want to install the timers onto the global object, so call `install`
+without arguments.
+
+#### Automatically incrementing mocked time
+Since version 2.0 FakeTimers supports the possibility to attach the faked timers
+to any change in the real system time. This basically means you no longer need
+to `tick()` the clock in a situation where you won't know **when** to call `tick()`.
+
+Please note that this is achieved using the original setImmediate() API at a certain
+configurable interval `config.advanceTimeDelta` (default: 20ms). Meaning time would
+be incremented every 20ms, not in real time.
+
+An example would be:
+
+```js
+var FakeTimers = require("@sinonjs/fake-timers");
+var clock = FakeTimers.install({shouldAdvanceTime: true, advanceTimeDelta: 40});
+
+setTimeout(() => {
+    console.log('this just timed out'); //executed after 40ms
+}, 30);
+
+setImmediate(() => {
+    console.log('not so immediate'); //executed after 40ms
+});
+
+setTimeout(() => {
+    console.log('this timed out after'); //executed after 80ms
+    clock.uninstall();
+}, 50);
+```
+
+## API Reference
+
+### `var clock = FakeTimers.createClock([now[, loopLimit]])`
+
+Creates a clock. The default
+[epoch](https://en.wikipedia.org/wiki/Epoch_%28reference_date%29) is `0`.
+
+The `now` argument may be a number (in milliseconds) or a Date object.
+
+The `loopLimit` argument sets the maximum number of timers that will be run when calling `runAll()` before assuming that we have an infinite loop and throwing an error. The default is `1000`.
+
+### `var clock = FakeTimers.install([config])`
+Installs FakeTimers using the specified config (otherwise with epoch `0` on the global scope). The following configuration options are available
+
+Parameter | Type | Default | Description
+--------- | ---- | ------- | ------------
+`config.target`| Object | global | installs FakeTimers onto the specified target context
+`config.now` | Number/Date | 0 | installs FakeTimers with the specified unix epoch
+`config.toFake` | String[] | ["setTimeout", "clearTimeout", "setImmediate", "clearImmediate","setInterval", "clearInterval", "Date", "requestAnimationFrame", "cancelAnimationFrame", "requestIdleCallback", "cancelIdleCallback", "hrtime"] | an array with explicit function names to hijack. *When not set, FakeTimers will automatically fake all methods **except** `nextTick`* e.g., `FakeTimers.install({ toFake: ["setTimeout","nextTick"]})` will fake only `setTimeout` and `nextTick`
+`config.loopLimit` | Number | 1000 | the maximum number of timers that will be run when calling runAll()
+`config.shouldAdvanceTime` | Boolean | false | tells FakeTimers to increment mocked time automatically based on the real system time shift (e.g. the mocked time will be incremented by 20ms for every 20ms change in the real system time)
+`config.advanceTimeDelta` | Number | 20 | relevant only when using with `shouldAdvanceTime: true`. increment mocked time by `advanceTimeDelta` ms every `advanceTimeDelta` ms change in the real system time.
+
+### `var id = clock.setTimeout(callback, timeout)`
+
+Schedules the callback to be fired once `timeout` milliseconds have ticked by.
+
+In Node.js `setTimeout` returns a timer object. FakeTimers will do the same, however
+its `ref()` and `unref()` methods have no effect.
+
+In browsers a timer ID is returned.
+
+### `clock.clearTimeout(id)`
+
+Clears the timer given the ID or timer object, as long as it was created using
+`setTimeout`.
+
+### `var id = clock.setInterval(callback, timeout)`
+
+Schedules the callback to be fired every time `timeout` milliseconds have ticked
+by.
+
+In Node.js `setInterval` returns a timer object. FakeTimers will do the same, however
+its `ref()` and `unref()` methods have no effect.
+
+In browsers a timer ID is returned.
+
+### `clock.clearInterval(id)`
+
+Clears the timer given the ID or timer object, as long as it was created using
+`setInterval`.
+
+### `var id = clock.setImmediate(callback)`
+
+Schedules the callback to be fired once `0` milliseconds have ticked by. Note
+that you'll still have to call `clock.tick()` for the callback to fire. If
+called during a tick the callback won't fire until `1` millisecond has ticked
+by.
+
+In Node.js `setImmediate` returns a timer object. FakeTimers will do the same,
+however its `ref()` and `unref()` methods have no effect.
+
+In browsers a timer ID is returned.
+
+### `clock.clearImmediate(id)`
+
+Clears the timer given the ID or timer object, as long as it was created using
+`setImmediate`.
+
+### `clock.requestAnimationFrame(callback)`
+
+Schedules the callback to be fired on the next animation frame, which runs every
+16 ticks. Returns an `id` which can be used to cancel the callback. This is
+available in both browser & node environments.
+
+### `clock.cancelAnimationFrame(id)`
+
+Cancels the callback scheduled by the provided id.
+
+### `clock.requestIdleCallback(callback[, timeout])`
+
+Queued the callback to be fired during idle periods to perform background and low priority work on the main event loop. Callbacks which have a timeout option will be fired no later than time in milliseconds. Returns an `id` which can be used to cancel the callback.
+
+### `clock.cancelIdleCallback(id)`
+
+Cancels the callback scheduled by the provided id.
+
+### `clock.countTimers()`
+
+Returns the number of waiting timers. This can be used to assert that a test
+finishes without leaking any timers.
+
+### `clock.hrtime(prevTime?)`
+Only available in Node.js, mimicks process.hrtime().
+
+### `clock.nextTick(callback)`
+
+Only available in Node.js, mimics `process.nextTick` to enable completely synchronous testing flows.
+
+### `clock.performance.now()`
+Only available in browser environments, mimicks performance.now().
+
+
+### `clock.tick(time)` / `await clock.tickAsync(time)`
+
+Advance the clock, firing callbacks if necessary. `time` may be the number of
+milliseconds to advance the clock by or a human-readable string. Valid string
+formats are `"08"` for eight seconds, `"01:00"` for one minute and `"02:34:10"`
+for two hours, 34 minutes and ten seconds.
+
+The `tickAsync()` will also break the event loop, allowing any scheduled promise
+callbacks to execute _before_ running the timers.
+
+### `clock.next()` / `await clock.nextAsync()`
+
+Advances the clock to the the moment of the first scheduled timer, firing it.
+
+The `nextAsync()` will also break the event loop, allowing any scheduled promise
+callbacks to execute _before_ running the timers.
+
+### `clock.reset()`
+
+Removes all timers and ticks without firing them, and sets `now` to `config.now`
+that was provided to `FakeTimers.install` or to `0` if `config.now` was not provided.
+Useful to reset the state of the clock without having to `uninstall` and `install` it.
+
+### `clock.runAll()` / `await clock.runAllAsync()`
+
+This runs all pending timers until there are none remaining. If new timers are added while it is executing they will be run as well.
+
+This makes it easier to run asynchronous tests to completion without worrying about the number of timers they use, or the delays in those timers.
+
+It runs a maximum of `loopLimit` times after which it assumes there is an infinite loop of timers and throws an error.
+
+The `runAllAsync()` will also break the event loop, allowing any scheduled promise
+callbacks to execute _before_ running the timers.
+
+### `clock.runMicrotasks()`
+
+This runs all pending microtasks scheduled with `nextTick` but none of the timers and is mostly useful for libraries using FakeTimers underneath and for running `nextTick` items without any timers.
+
+### `clock.runToFrame()`
+
+Advances the clock to the next frame, firing all scheduled animation frame callbacks,
+if any, for that frame as well as any other timers scheduled along the way.
+
+### `clock.runToLast()` / `await clock.runToLastAsync()`
+
+This takes note of the last scheduled timer when it is run, and advances the
+clock to that time firing callbacks as necessary.
+
+If new timers are added while it is executing they will be run only if they
+would occur before this time.
+
+This is useful when you want to run a test to completion, but the test recursively
+sets timers that would cause `runAll` to trigger an infinite loop warning.
+
+The `runToLastAsync()` will also break the event loop, allowing any scheduled promise
+callbacks to execute _before_ running the timers.
+
+### `clock.setSystemTime([now])`
+
+This simulates a user changing the system clock while your program is running.
+It affects the current time but it does not in itself cause e.g. timers to fire;
+they will fire exactly as they would have done without the call to
+setSystemTime().
+
+### `clock.uninstall()`
+
+Restores the original methods on the `target` that was passed to
+`FakeTimers.install`, or the native timers if no `target` was given.
+
+### `Date`
+
+Implements the `Date` object but using the clock to provide the correct time.
+
+### `Performance`
+
+Implements the `now` method of the [`Performance`](https://developer.mozilla.org/en-US/docs/Web/API/Performance/now) object but using the clock to provide the correct time. Only available in environments that support the Performance object (browsers mostly).
+
+### `FakeTimers.withGlobal`
+
+In order to support creating clocks based on separate or sandboxed environments (such as JSDOM), FakeTimers exports a factory method which takes single argument `global`, which it inspects to figure out what to mock and what features to support. When invoking this function with a global, you will get back an object with `timers`, `createClock` and `install` - same as the regular FakeTimers exports only based on the passed in global instead of the global environment.
+
+## Running tests
+
+FakeTimers has a comprehensive test suite. If you're thinking of contributing bug
+fixes or suggesting new features, you need to make sure you have not broken any
+tests. You are also expected to add tests for any new behavior.
+
+### On node:
+
+```sh
+npm test
+```
+
+Or, if you prefer more verbose output:
+
+```
+$(npm bin)/mocha ./test/fake-timers-test.js
+```
+
+### In the browser
+
+[Mochify](https://github.com/mantoni/mochify.js) is used to run the tests in
+PhantomJS. Make sure you have `phantomjs` installed. Then:
+
+```sh
+npm test-headless
+```
+
+## License
+
+BSD 3-clause "New" or "Revised" License  (see LICENSE file)
diff --git a/node_modules/@sinonjs/fake-timers/fake-timers.js b/node_modules/@sinonjs/fake-timers/fake-timers.js
new file mode 100644
index 000000000..2ab69204a
--- /dev/null
+++ b/node_modules/@sinonjs/fake-timers/fake-timers.js
@@ -0,0 +1,2625 @@
+(function(f){if(typeof exports==="object"&&typeof module!=="undefined"){module.exports=f()}else if(typeof define==="function"&&define.amd){define([],f)}else{var g;if(typeof window!=="undefined"){g=window}else if(typeof global!=="undefined"){g=global}else if(typeof self!=="undefined"){g=self}else{g=this}g.FakeTimers = f()}})(function(){var define,module,exports;return (function(){function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c="function"==typeof require&&require;if(!f&&c)return c(i,!0);if(u)return u(i,!0);var a=new Error("Cannot find module '"+i+"'");throw a.code="MODULE_NOT_FOUND",a}var p=n[i]={exports:{}};e[i][0].call(p.exports,function(r){var n=e[i][1][r];return o(n||r)},p,p.exports,r,e,n,t)}return n[i].exports}for(var u="function"==typeof require&&require,i=0;i<t.length;i++)o(t[i]);return o}return r})()({1:[function(require,module,exports){
+"use strict";
+
+var every = require("./prototypes/array").every;
+
+function hasCallsLeft(callMap, spy) {
+    if (callMap[spy.id] === undefined) {
+        callMap[spy.id] = 0;
+    }
+
+    return callMap[spy.id] < spy.callCount;
+}
+
+function checkAdjacentCalls(callMap, spy, index, spies) {
+    var calledBeforeNext = true;
+
+    if (index !== spies.length - 1) {
+        calledBeforeNext = spy.calledBefore(spies[index + 1]);
+    }
+
+    if (hasCallsLeft(callMap, spy) && calledBeforeNext) {
+        callMap[spy.id] += 1;
+        return true;
+    }
+
+    return false;
+}
+
+module.exports = function calledInOrder(spies) {
+    var callMap = {};
+    // eslint-disable-next-line no-underscore-dangle
+    var _spies = arguments.length > 1 ? arguments : spies;
+
+    return every(_spies, checkAdjacentCalls.bind(null, callMap));
+};
+
+},{"./prototypes/array":9}],2:[function(require,module,exports){
+"use strict";
+
+var functionName = require("./function-name");
+
+module.exports = function className(value) {
+    return (
+        (value.constructor && value.constructor.name) ||
+        // The next branch is for IE11 support only:
+        // Because the name property is not set on the prototype
+        // of the Function object, we finally try to grab the
+        // name from its definition. This will never be reached
+        // in node, so we are not able to test this properly.
+        // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Function/name
+        (typeof value.constructor === "function" &&
+            /* istanbul ignore next */
+            functionName(value.constructor)) ||
+        null
+    );
+};
+
+},{"./function-name":5}],3:[function(require,module,exports){
+/* eslint-disable no-console */
+"use strict";
+
+// wrap returns a function that will invoke the supplied function and print a deprecation warning to the console each
+// time it is called.
+exports.wrap = function(func, msg) {
+    var wrapped = function() {
+        exports.printWarning(msg);
+        return func.apply(this, arguments);
+    };
+    if (func.prototype) {
+        wrapped.prototype = func.prototype;
+    }
+    return wrapped;
+};
+
+// defaultMsg returns a string which can be supplied to `wrap()` to notify the user that a particular part of the
+// sinon API has been deprecated.
+exports.defaultMsg = function(packageName, funcName) {
+    return (
+        packageName +
+        "." +
+        funcName +
+        " is deprecated and will be removed from the public API in a future version of " +
+        packageName +
+        "."
+    );
+};
+
+exports.printWarning = function(msg) {
+    // Watch out for IE7 and below! :(
+    /* istanbul ignore next */
+    if (typeof console !== "undefined") {
+        if (console.info) {
+            console.info(msg);
+        } else {
+            console.log(msg);
+        }
+    }
+};
+
+},{}],4:[function(require,module,exports){
+"use strict";
+
+// This is an `every` implementation that works for all iterables
+module.exports = function every(obj, fn) {
+    var pass = true;
+
+    try {
+        /* eslint-disable-next-line local-rules/no-prototype-methods */
+        obj.forEach(function() {
+            if (!fn.apply(this, arguments)) {
+                // Throwing an error is the only way to break `forEach`
+                throw new Error();
+            }
+        });
+    } catch (e) {
+        pass = false;
+    }
+
+    return pass;
+};
+
+},{}],5:[function(require,module,exports){
+"use strict";
+
+module.exports = function functionName(func) {
+    if (!func) {
+        return "";
+    }
+
+    return (
+        func.displayName ||
+        func.name ||
+        // Use function decomposition as a last resort to get function
+        // name. Does not rely on function decomposition to work - if it
+        // doesn't debugging will be slightly less informative
+        // (i.e. toString will say 'spy' rather than 'myFunc').
+        (String(func).match(/function ([^\s(]+)/) || [])[1]
+    );
+};
+
+},{}],6:[function(require,module,exports){
+"use strict";
+
+var globalObject;
+/* istanbul ignore else */
+if (typeof global !== "undefined") {
+    // Node
+    globalObject = global;
+} else if (typeof window !== "undefined") {
+    // Browser
+    globalObject = window;
+} else {
+    // WebWorker
+    globalObject = self;
+}
+
+module.exports = globalObject;
+
+},{}],7:[function(require,module,exports){
+"use strict";
+
+module.exports = {
+    global: require("./global"),
+    calledInOrder: require("./called-in-order"),
+    className: require("./class-name"),
+    deprecated: require("./deprecated"),
+    every: require("./every"),
+    functionName: require("./function-name"),
+    orderByFirstCall: require("./order-by-first-call"),
+    prototypes: require("./prototypes"),
+    typeOf: require("./type-of"),
+    valueToString: require("./value-to-string")
+};
+
+},{"./called-in-order":1,"./class-name":2,"./deprecated":3,"./every":4,"./function-name":5,"./global":6,"./order-by-first-call":8,"./prototypes":12,"./type-of":17,"./value-to-string":18}],8:[function(require,module,exports){
+"use strict";
+
+var sort = require("./prototypes/array").sort;
+var slice = require("./prototypes/array").slice;
+
+function comparator(a, b) {
+    // uuid, won't ever be equal
+    var aCall = a.getCall(0);
+    var bCall = b.getCall(0);
+    var aId = (aCall && aCall.callId) || -1;
+    var bId = (bCall && bCall.callId) || -1;
+
+    return aId < bId ? -1 : 1;
+}
+
+module.exports = function orderByFirstCall(spies) {
+    return sort(slice(spies), comparator);
+};
+
+},{"./prototypes/array":9}],9:[function(require,module,exports){
+"use strict";
+
+var copyPrototype = require("./copy-prototype");
+
+module.exports = copyPrototype(Array.prototype);
+
+},{"./copy-prototype":10}],10:[function(require,module,exports){
+"use strict";
+
+var call = Function.call;
+
+module.exports = function copyPrototypeMethods(prototype) {
+    /* eslint-disable local-rules/no-prototype-methods */
+    return Object.getOwnPropertyNames(prototype).reduce(function(result, name) {
+        // ignore size because it throws from Map
+        if (
+            name !== "size" &&
+            name !== "caller" &&
+            name !== "callee" &&
+            name !== "arguments" &&
+            typeof prototype[name] === "function"
+        ) {
+            result[name] = call.bind(prototype[name]);
+        }
+
+        return result;
+    }, Object.create(null));
+};
+
+},{}],11:[function(require,module,exports){
+"use strict";
+
+var copyPrototype = require("./copy-prototype");
+
+module.exports = copyPrototype(Function.prototype);
+
+},{"./copy-prototype":10}],12:[function(require,module,exports){
+"use strict";
+
+module.exports = {
+    array: require("./array"),
+    function: require("./function"),
+    map: require("./map"),
+    object: require("./object"),
+    set: require("./set"),
+    string: require("./string")
+};
+
+},{"./array":9,"./function":11,"./map":13,"./object":14,"./set":15,"./string":16}],13:[function(require,module,exports){
+"use strict";
+
+var copyPrototype = require("./copy-prototype");
+
+module.exports = copyPrototype(Map.prototype);
+
+},{"./copy-prototype":10}],14:[function(require,module,exports){
+"use strict";
+
+var copyPrototype = require("./copy-prototype");
+
+module.exports = copyPrototype(Object.prototype);
+
+},{"./copy-prototype":10}],15:[function(require,module,exports){
+"use strict";
+
+var copyPrototype = require("./copy-prototype");
+
+module.exports = copyPrototype(Set.prototype);
+
+},{"./copy-prototype":10}],16:[function(require,module,exports){
+"use strict";
+
+var copyPrototype = require("./copy-prototype");
+
+module.exports = copyPrototype(String.prototype);
+
+},{"./copy-prototype":10}],17:[function(require,module,exports){
+"use strict";
+
+var type = require("type-detect");
+
+module.exports = function typeOf(value) {
+    return type(value).toLowerCase();
+};
+
+},{"type-detect":19}],18:[function(require,module,exports){
+"use strict";
+
+function valueToString(value) {
+    if (value && value.toString) {
+        /* eslint-disable-next-line local-rules/no-prototype-methods */
+        return value.toString();
+    }
+    return String(value);
+}
+
+module.exports = valueToString;
+
+},{}],19:[function(require,module,exports){
+(function (global, factory) {
+	typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
+	typeof define === 'function' && define.amd ? define(factory) :
+	(global.typeDetect = factory());
+}(this, (function () { 'use strict';
+
+/* !
+ * type-detect
+ * Copyright(c) 2013 jake luer <jake@alogicalparadox.com>
+ * MIT Licensed
+ */
+var promiseExists = typeof Promise === 'function';
+
+/* eslint-disable no-undef */
+var globalObject = typeof self === 'object' ? self : global; // eslint-disable-line id-blacklist
+
+var symbolExists = typeof Symbol !== 'undefined';
+var mapExists = typeof Map !== 'undefined';
+var setExists = typeof Set !== 'undefined';
+var weakMapExists = typeof WeakMap !== 'undefined';
+var weakSetExists = typeof WeakSet !== 'undefined';
+var dataViewExists = typeof DataView !== 'undefined';
+var symbolIteratorExists = symbolExists && typeof Symbol.iterator !== 'undefined';
+var symbolToStringTagExists = symbolExists && typeof Symbol.toStringTag !== 'undefined';
+var setEntriesExists = setExists && typeof Set.prototype.entries === 'function';
+var mapEntriesExists = mapExists && typeof Map.prototype.entries === 'function';
+var setIteratorPrototype = setEntriesExists && Object.getPrototypeOf(new Set().entries());
+var mapIteratorPrototype = mapEntriesExists && Object.getPrototypeOf(new Map().entries());
+var arrayIteratorExists = symbolIteratorExists && typeof Array.prototype[Symbol.iterator] === 'function';
+var arrayIteratorPrototype = arrayIteratorExists && Object.getPrototypeOf([][Symbol.iterator]());
+var stringIteratorExists = symbolIteratorExists && typeof String.prototype[Symbol.iterator] === 'function';
+var stringIteratorPrototype = stringIteratorExists && Object.getPrototypeOf(''[Symbol.iterator]());
+var toStringLeftSliceLength = 8;
+var toStringRightSliceLength = -1;
+/**
+ * ### typeOf (obj)
+ *
+ * Uses `Object.prototype.toString` to determine the type of an object,
+ * normalising behaviour across engine versions & well optimised.
+ *
+ * @param {Mixed} object
+ * @return {String} object type
+ * @api public
+ */
+function typeDetect(obj) {
+  /* ! Speed optimisation
+   * Pre:
+   *   string literal     x 3,039,035 ops/sec ±1.62% (78 runs sampled)
+   *   boolean literal    x 1,424,138 ops/sec ±4.54% (75 runs sampled)
+   *   number literal     x 1,653,153 ops/sec ±1.91% (82 runs sampled)
+   *   undefined          x 9,978,660 ops/sec ±1.92% (75 runs sampled)
+   *   function           x 2,556,769 ops/sec ±1.73% (77 runs sampled)
+   * Post:
+   *   string literal     x 38,564,796 ops/sec ±1.15% (79 runs sampled)
+   *   boolean literal    x 31,148,940 ops/sec ±1.10% (79 runs sampled)
+   *   number literal     x 32,679,330 ops/sec ±1.90% (78 runs sampled)
+   *   undefined          x 32,363,368 ops/sec ±1.07% (82 runs sampled)
+   *   function           x 31,296,870 ops/sec ±0.96% (83 runs sampled)
+   */
+  var typeofObj = typeof obj;
+  if (typeofObj !== 'object') {
+    return typeofObj;
+  }
+
+  /* ! Speed optimisation
+   * Pre:
+   *   null               x 28,645,765 ops/sec ±1.17% (82 runs sampled)
+   * Post:
+   *   null               x 36,428,962 ops/sec ±1.37% (84 runs sampled)
+   */
+  if (obj === null) {
+    return 'null';
+  }
+
+  /* ! Spec Conformance
+   * Test: `Object.prototype.toString.call(window)``
+   *  - Node === "[object global]"
+   *  - Chrome === "[object global]"
+   *  - Firefox === "[object Window]"
+   *  - PhantomJS === "[object Window]"
+   *  - Safari === "[object Window]"
+   *  - IE 11 === "[object Window]"
+   *  - IE Edge === "[object Window]"
+   * Test: `Object.prototype.toString.call(this)``
+   *  - Chrome Worker === "[object global]"
+   *  - Firefox Worker === "[object DedicatedWorkerGlobalScope]"
+   *  - Safari Worker === "[object DedicatedWorkerGlobalScope]"
+   *  - IE 11 Worker === "[object WorkerGlobalScope]"
+   *  - IE Edge Worker === "[object WorkerGlobalScope]"
+   */
+  if (obj === globalObject) {
+    return 'global';
+  }
+
+  /* ! Speed optimisation
+   * Pre:
+   *   array literal      x 2,888,352 ops/sec ±0.67% (82 runs sampled)
+   * Post:
+   *   array literal      x 22,479,650 ops/sec ±0.96% (81 runs sampled)
+   */
+  if (
+    Array.isArray(obj) &&
+    (symbolToStringTagExists === false || !(Symbol.toStringTag in obj))
+  ) {
+    return 'Array';
+  }
+
+  // Not caching existence of `window` and related properties due to potential
+  // for `window` to be unset before tests in quasi-browser environments.
+  if (typeof window === 'object' && window !== null) {
+    /* ! Spec Conformance
+     * (https://html.spec.whatwg.org/multipage/browsers.html#location)
+     * WhatWG HTML$7.7.3 - The `Location` interface
+     * Test: `Object.prototype.toString.call(window.location)``
+     *  - IE <=11 === "[object Object]"
+     *  - IE Edge <=13 === "[object Object]"
+     */
+    if (typeof window.location === 'object' && obj === window.location) {
+      return 'Location';
+    }
+
+    /* ! Spec Conformance
+     * (https://html.spec.whatwg.org/#document)
+     * WhatWG HTML$3.1.1 - The `Document` object
+     * Note: Most browsers currently adher to the W3C DOM Level 2 spec
+     *       (https://www.w3.org/TR/DOM-Level-2-HTML/html.html#ID-26809268)
+     *       which suggests that browsers should use HTMLTableCellElement for
+     *       both TD and TH elements. WhatWG separates these.
+     *       WhatWG HTML states:
+     *         > For historical reasons, Window objects must also have a
+     *         > writable, configurable, non-enumerable property named
+     *         > HTMLDocument whose value is the Document interface object.
+     * Test: `Object.prototype.toString.call(document)``
+     *  - Chrome === "[object HTMLDocument]"
+     *  - Firefox === "[object HTMLDocument]"
+     *  - Safari === "[object HTMLDocument]"
+     *  - IE <=10 === "[object Document]"
+     *  - IE 11 === "[object HTMLDocument]"
+     *  - IE Edge <=13 === "[object HTMLDocument]"
+     */
+    if (typeof window.document === 'object' && obj === window.document) {
+      return 'Document';
+    }
+
+    if (typeof window.navigator === 'object') {
+      /* ! Spec Conformance
+       * (https://html.spec.whatwg.org/multipage/webappapis.html#mimetypearray)
+       * WhatWG HTML$8.6.1.5 - Plugins - Interface MimeTypeArray
+       * Test: `Object.prototype.toString.call(navigator.mimeTypes)``
+       *  - IE <=10 === "[object MSMimeTypesCollection]"
+       */
+      if (typeof window.navigator.mimeTypes === 'object' &&
+          obj === window.navigator.mimeTypes) {
+        return 'MimeTypeArray';
+      }
+
+      /* ! Spec Conformance
+       * (https://html.spec.whatwg.org/multipage/webappapis.html#pluginarray)
+       * WhatWG HTML$8.6.1.5 - Plugins - Interface PluginArray
+       * Test: `Object.prototype.toString.call(navigator.plugins)``
+       *  - IE <=10 === "[object MSPluginsCollection]"
+       */
+      if (typeof window.navigator.plugins === 'object' &&
+          obj === window.navigator.plugins) {
+        return 'PluginArray';
+      }
+    }
+
+    if ((typeof window.HTMLElement === 'function' ||
+        typeof window.HTMLElement === 'object') &&
+        obj instanceof window.HTMLElement) {
+      /* ! Spec Conformance
+      * (https://html.spec.whatwg.org/multipage/webappapis.html#pluginarray)
+      * WhatWG HTML$4.4.4 - The `blockquote` element - Interface `HTMLQuoteElement`
+      * Test: `Object.prototype.toString.call(document.createElement('blockquote'))``
+      *  - IE <=10 === "[object HTMLBlockElement]"
+      */
+      if (obj.tagName === 'BLOCKQUOTE') {
+        return 'HTMLQuoteElement';
+      }
+
+      /* ! Spec Conformance
+       * (https://html.spec.whatwg.org/#htmltabledatacellelement)
+       * WhatWG HTML$4.9.9 - The `td` element - Interface `HTMLTableDataCellElement`
+       * Note: Most browsers currently adher to the W3C DOM Level 2 spec
+       *       (https://www.w3.org/TR/DOM-Level-2-HTML/html.html#ID-82915075)
+       *       which suggests that browsers should use HTMLTableCellElement for
+       *       both TD and TH elements. WhatWG separates these.
+       * Test: Object.prototype.toString.call(document.createElement('td'))
+       *  - Chrome === "[object HTMLTableCellElement]"
+       *  - Firefox === "[object HTMLTableCellElement]"
+       *  - Safari === "[object HTMLTableCellElement]"
+       */
+      if (obj.tagName === 'TD') {
+        return 'HTMLTableDataCellElement';
+      }
+
+      /* ! Spec Conformance
+       * (https://html.spec.whatwg.org/#htmltableheadercellelement)
+       * WhatWG HTML$4.9.9 - The `td` element - Interface `HTMLTableHeaderCellElement`
+       * Note: Most browsers currently adher to the W3C DOM Level 2 spec
+       *       (https://www.w3.org/TR/DOM-Level-2-HTML/html.html#ID-82915075)
+       *       which suggests that browsers should use HTMLTableCellElement for
+       *       both TD and TH elements. WhatWG separates these.
+       * Test: Object.prototype.toString.call(document.createElement('th'))
+       *  - Chrome === "[object HTMLTableCellElement]"
+       *  - Firefox === "[object HTMLTableCellElement]"
+       *  - Safari === "[object HTMLTableCellElement]"
+       */
+      if (obj.tagName === 'TH') {
+        return 'HTMLTableHeaderCellElement';
+      }
+    }
+  }
+
+  /* ! Speed optimisation
+  * Pre:
+  *   Float64Array       x 625,644 ops/sec ±1.58% (80 runs sampled)
+  *   Float32Array       x 1,279,852 ops/sec ±2.91% (77 runs sampled)
+  *   Uint32Array        x 1,178,185 ops/sec ±1.95% (83 runs sampled)
+  *   Uint16Array        x 1,008,380 ops/sec ±2.25% (80 runs sampled)
+  *   Uint8Array         x 1,128,040 ops/sec ±2.11% (81 runs sampled)
+  *   Int32Array         x 1,170,119 ops/sec ±2.88% (80 runs sampled)
+  *   Int16Array         x 1,176,348 ops/sec ±5.79% (86 runs sampled)
+  *   Int8Array          x 1,058,707 ops/sec ±4.94% (77 runs sampled)
+  *   Uint8ClampedArray  x 1,110,633 ops/sec ±4.20% (80 runs sampled)
+  * Post:
+  *   Float64Array       x 7,105,671 ops/sec ±13.47% (64 runs sampled)
+  *   Float32Array       x 5,887,912 ops/sec ±1.46% (82 runs sampled)
+  *   Uint32Array        x 6,491,661 ops/sec ±1.76% (79 runs sampled)
+  *   Uint16Array        x 6,559,795 ops/sec ±1.67% (82 runs sampled)
+  *   Uint8Array         x 6,463,966 ops/sec ±1.43% (85 runs sampled)
+  *   Int32Array         x 5,641,841 ops/sec ±3.49% (81 runs sampled)
+  *   Int16Array         x 6,583,511 ops/sec ±1.98% (80 runs sampled)
+  *   Int8Array          x 6,606,078 ops/sec ±1.74% (81 runs sampled)
+  *   Uint8ClampedArray  x 6,602,224 ops/sec ±1.77% (83 runs sampled)
+  */
+  var stringTag = (symbolToStringTagExists && obj[Symbol.toStringTag]);
+  if (typeof stringTag === 'string') {
+    return stringTag;
+  }
+
+  var objPrototype = Object.getPrototypeOf(obj);
+  /* ! Speed optimisation
+  * Pre:
+  *   regex literal      x 1,772,385 ops/sec ±1.85% (77 runs sampled)
+  *   regex constructor  x 2,143,634 ops/sec ±2.46% (78 runs sampled)
+  * Post:
+  *   regex literal      x 3,928,009 ops/sec ±0.65% (78 runs sampled)
+  *   regex constructor  x 3,931,108 ops/sec ±0.58% (84 runs sampled)
+  */
+  if (objPrototype === RegExp.prototype) {
+    return 'RegExp';
+  }
+
+  /* ! Speed optimisation
+  * Pre:
+  *   date               x 2,130,074 ops/sec ±4.42% (68 runs sampled)
+  * Post:
+  *   date               x 3,953,779 ops/sec ±1.35% (77 runs sampled)
+  */
+  if (objPrototype === Date.prototype) {
+    return 'Date';
+  }
+
+  /* ! Spec Conformance
+   * (http://www.ecma-international.org/ecma-262/6.0/index.html#sec-promise.prototype-@@tostringtag)
+   * ES6$25.4.5.4 - Promise.prototype[@@toStringTag] should be "Promise":
+   * Test: `Object.prototype.toString.call(Promise.resolve())``
+   *  - Chrome <=47 === "[object Object]"
+   *  - Edge <=20 === "[object Object]"
+   *  - Firefox 29-Latest === "[object Promise]"
+   *  - Safari 7.1-Latest === "[object Promise]"
+   */
+  if (promiseExists && objPrototype === Promise.prototype) {
+    return 'Promise';
+  }
+
+  /* ! Speed optimisation
+  * Pre:
+  *   set                x 2,222,186 ops/sec ±1.31% (82 runs sampled)
+  * Post:
+  *   set                x 4,545,879 ops/sec ±1.13% (83 runs sampled)
+  */
+  if (setExists && objPrototype === Set.prototype) {
+    return 'Set';
+  }
+
+  /* ! Speed optimisation
+  * Pre:
+  *   map                x 2,396,842 ops/sec ±1.59% (81 runs sampled)
+  * Post:
+  *   map                x 4,183,945 ops/sec ±6.59% (82 runs sampled)
+  */
+  if (mapExists && objPrototype === Map.prototype) {
+    return 'Map';
+  }
+
+  /* ! Speed optimisation
+  * Pre:
+  *   weakset            x 1,323,220 ops/sec ±2.17% (76 runs sampled)
+  * Post:
+  *   weakset            x 4,237,510 ops/sec ±2.01% (77 runs sampled)
+  */
+  if (weakSetExists && objPrototype === WeakSet.prototype) {
+    return 'WeakSet';
+  }
+
+  /* ! Speed optimisation
+  * Pre:
+  *   weakmap            x 1,500,260 ops/sec ±2.02% (78 runs sampled)
+  * Post:
+  *   weakmap            x 3,881,384 ops/sec ±1.45% (82 runs sampled)
+  */
+  if (weakMapExists && objPrototype === WeakMap.prototype) {
+    return 'WeakMap';
+  }
+
+  /* ! Spec Conformance
+   * (http://www.ecma-international.org/ecma-262/6.0/index.html#sec-dataview.prototype-@@tostringtag)
+   * ES6$24.2.4.21 - DataView.prototype[@@toStringTag] should be "DataView":
+   * Test: `Object.prototype.toString.call(new DataView(new ArrayBuffer(1)))``
+   *  - Edge <=13 === "[object Object]"
+   */
+  if (dataViewExists && objPrototype === DataView.prototype) {
+    return 'DataView';
+  }
+
+  /* ! Spec Conformance
+   * (http://www.ecma-international.org/ecma-262/6.0/index.html#sec-%mapiteratorprototype%-@@tostringtag)
+   * ES6$23.1.5.2.2 - %MapIteratorPrototype%[@@toStringTag] should be "Map Iterator":
+   * Test: `Object.prototype.toString.call(new Map().entries())``
+   *  - Edge <=13 === "[object Object]"
+   */
+  if (mapExists && objPrototype === mapIteratorPrototype) {
+    return 'Map Iterator';
+  }
+
+  /* ! Spec Conformance
+   * (http://www.ecma-international.org/ecma-262/6.0/index.html#sec-%setiteratorprototype%-@@tostringtag)
+   * ES6$23.2.5.2.2 - %SetIteratorPrototype%[@@toStringTag] should be "Set Iterator":
+   * Test: `Object.prototype.toString.call(new Set().entries())``
+   *  - Edge <=13 === "[object Object]"
+   */
+  if (setExists && objPrototype === setIteratorPrototype) {
+    return 'Set Iterator';
+  }
+
+  /* ! Spec Conformance
+   * (http://www.ecma-international.org/ecma-262/6.0/index.html#sec-%arrayiteratorprototype%-@@tostringtag)
+   * ES6$22.1.5.2.2 - %ArrayIteratorPrototype%[@@toStringTag] should be "Array Iterator":
+   * Test: `Object.prototype.toString.call([][Symbol.iterator]())``
+   *  - Edge <=13 === "[object Object]"
+   */
+  if (arrayIteratorExists && objPrototype === arrayIteratorPrototype) {
+    return 'Array Iterator';
+  }
+
+  /* ! Spec Conformance
+   * (http://www.ecma-international.org/ecma-262/6.0/index.html#sec-%stringiteratorprototype%-@@tostringtag)
+   * ES6$21.1.5.2.2 - %StringIteratorPrototype%[@@toStringTag] should be "String Iterator":
+   * Test: `Object.prototype.toString.call(''[Symbol.iterator]())``
+   *  - Edge <=13 === "[object Object]"
+   */
+  if (stringIteratorExists && objPrototype === stringIteratorPrototype) {
+    return 'String Iterator';
+  }
+
+  /* ! Speed optimisation
+  * Pre:
+  *   object from null   x 2,424,320 ops/sec ±1.67% (76 runs sampled)
+  * Post:
+  *   object from null   x 5,838,000 ops/sec ±0.99% (84 runs sampled)
+  */
+  if (objPrototype === null) {
+    return 'Object';
+  }
+
+  return Object
+    .prototype
+    .toString
+    .call(obj)
+    .slice(toStringLeftSliceLength, toStringRightSliceLength);
+}
+
+return typeDetect;
+
+})));
+
+},{}],20:[function(require,module,exports){
+if (typeof Object.create === 'function') {
+  // implementation from standard node.js 'util' module
+  module.exports = function inherits(ctor, superCtor) {
+    ctor.super_ = superCtor
+    ctor.prototype = Object.create(superCtor.prototype, {
+      constructor: {
+        value: ctor,
+        enumerable: false,
+        writable: true,
+        configurable: true
+      }
+    });
+  };
+} else {
+  // old school shim for old browsers
+  module.exports = function inherits(ctor, superCtor) {
+    ctor.super_ = superCtor
+    var TempCtor = function () {}
+    TempCtor.prototype = superCtor.prototype
+    ctor.prototype = new TempCtor()
+    ctor.prototype.constructor = ctor
+  }
+}
+
+},{}],21:[function(require,module,exports){
+module.exports = function isBuffer(arg) {
+  return arg && typeof arg === 'object'
+    && typeof arg.copy === 'function'
+    && typeof arg.fill === 'function'
+    && typeof arg.readUInt8 === 'function';
+}
+},{}],22:[function(require,module,exports){
+// Copyright Joyent, Inc. and other Node contributors.
+//
+// Permission is hereby granted, free of charge, to any person obtaining a
+// copy of this software and associated documentation files (the
+// "Software"), to deal in the Software without restriction, including
+// without limitation the rights to use, copy, modify, merge, publish,
+// distribute, sublicense, and/or sell copies of the Software, and to permit
+// persons to whom the Software is furnished to do so, subject to the
+// following conditions:
+//
+// The above copyright notice and this permission notice shall be included
+// in all copies or substantial portions of the Software.
+//
+// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+// USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+var formatRegExp = /%[sdj%]/g;
+exports.format = function(f) {
+  if (!isString(f)) {
+    var objects = [];
+    for (var i = 0; i < arguments.length; i++) {
+      objects.push(inspect(arguments[i]));
+    }
+    return objects.join(' ');
+  }
+
+  var i = 1;
+  var args = arguments;
+  var len = args.length;
+  var str = String(f).replace(formatRegExp, function(x) {
+    if (x === '%%') return '%';
+    if (i >= len) return x;
+    switch (x) {
+      case '%s': return String(args[i++]);
+      case '%d': return Number(args[i++]);
+      case '%j':
+        try {
+          return JSON.stringify(args[i++]);
+        } catch (_) {
+          return '[Circular]';
+        }
+      default:
+        return x;
+    }
+  });
+  for (var x = args[i]; i < len; x = args[++i]) {
+    if (isNull(x) || !isObject(x)) {
+      str += ' ' + x;
+    } else {
+      str += ' ' + inspect(x);
+    }
+  }
+  return str;
+};
+
+
+// Mark that a method should not be used.
+// Returns a modified function which warns once by default.
+// If --no-deprecation is set, then it is a no-op.
+exports.deprecate = function(fn, msg) {
+  // Allow for deprecating things in the process of starting up.
+  if (isUndefined(global.process)) {
+    return function() {
+      return exports.deprecate(fn, msg).apply(this, arguments);
+    };
+  }
+
+  if (process.noDeprecation === true) {
+    return fn;
+  }
+
+  var warned = false;
+  function deprecated() {
+    if (!warned) {
+      if (process.throwDeprecation) {
+        throw new Error(msg);
+      } else if (process.traceDeprecation) {
+        console.trace(msg);
+      } else {
+        console.error(msg);
+      }
+      warned = true;
+    }
+    return fn.apply(this, arguments);
+  }
+
+  return deprecated;
+};
+
+
+var debugs = {};
+var debugEnviron;
+exports.debuglog = function(set) {
+  if (isUndefined(debugEnviron))
+    debugEnviron = process.env.NODE_DEBUG || '';
+  set = set.toUpperCase();
+  if (!debugs[set]) {
+    if (new RegExp('\\b' + set + '\\b', 'i').test(debugEnviron)) {
+      var pid = process.pid;
+      debugs[set] = function() {
+        var msg = exports.format.apply(exports, arguments);
+        console.error('%s %d: %s', set, pid, msg);
+      };
+    } else {
+      debugs[set] = function() {};
+    }
+  }
+  return debugs[set];
+};
+
+
+/**
+ * Echos the value of a value. Trys to print the value out
+ * in the best way possible given the different types.
+ *
+ * @param {Object} obj The object to print out.
+ * @param {Object} opts Optional options object that alters the output.
+ */
+/* legacy: obj, showHidden, depth, colors*/
+function inspect(obj, opts) {
+  // default options
+  var ctx = {
+    seen: [],
+    stylize: stylizeNoColor
+  };
+  // legacy...
+  if (arguments.length >= 3) ctx.depth = arguments[2];
+  if (arguments.length >= 4) ctx.colors = arguments[3];
+  if (isBoolean(opts)) {
+    // legacy...
+    ctx.showHidden = opts;
+  } else if (opts) {
+    // got an "options" object
+    exports._extend(ctx, opts);
+  }
+  // set default options
+  if (isUndefined(ctx.showHidden)) ctx.showHidden = false;
+  if (isUndefined(ctx.depth)) ctx.depth = 2;
+  if (isUndefined(ctx.colors)) ctx.colors = false;
+  if (isUndefined(ctx.customInspect)) ctx.customInspect = true;
+  if (ctx.colors) ctx.stylize = stylizeWithColor;
+  return formatValue(ctx, obj, ctx.depth);
+}
+exports.inspect = inspect;
+
+
+// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics
+inspect.colors = {
+  'bold' : [1, 22],
+  'italic' : [3, 23],
+  'underline' : [4, 24],
+  'inverse' : [7, 27],
+  'white' : [37, 39],
+  'grey' : [90, 39],
+  'black' : [30, 39],
+  'blue' : [34, 39],
+  'cyan' : [36, 39],
+  'green' : [32, 39],
+  'magenta' : [35, 39],
+  'red' : [31, 39],
+  'yellow' : [33, 39]
+};
+
+// Don't use 'blue' not visible on cmd.exe
+inspect.styles = {
+  'special': 'cyan',
+  'number': 'yellow',
+  'boolean': 'yellow',
+  'undefined': 'grey',
+  'null': 'bold',
+  'string': 'green',
+  'date': 'magenta',
+  // "name": intentionally not styling
+  'regexp': 'red'
+};
+
+
+function stylizeWithColor(str, styleType) {
+  var style = inspect.styles[styleType];
+
+  if (style) {
+    return '\u001b[' + inspect.colors[style][0] + 'm' + str +
+           '\u001b[' + inspect.colors[style][1] + 'm';
+  } else {
+    return str;
+  }
+}
+
+
+function stylizeNoColor(str, styleType) {
+  return str;
+}
+
+
+function arrayToHash(array) {
+  var hash = {};
+
+  array.forEach(function(val, idx) {
+    hash[val] = true;
+  });
+
+  return hash;
+}
+
+
+function formatValue(ctx, value, recurseTimes) {
+  // Provide a hook for user-specified inspect functions.
+  // Check that value is an object with an inspect function on it
+  if (ctx.customInspect &&
+      value &&
+      isFunction(value.inspect) &&
+      // Filter out the util module, it's inspect function is special
+      value.inspect !== exports.inspect &&
+      // Also filter out any prototype objects using the circular check.
+      !(value.constructor && value.constructor.prototype === value)) {
+    var ret = value.inspect(recurseTimes, ctx);
+    if (!isString(ret)) {
+      ret = formatValue(ctx, ret, recurseTimes);
+    }
+    return ret;
+  }
+
+  // Primitive types cannot have properties
+  var primitive = formatPrimitive(ctx, value);
+  if (primitive) {
+    return primitive;
+  }
+
+  // Look up the keys of the object.
+  var keys = Object.keys(value);
+  var visibleKeys = arrayToHash(keys);
+
+  if (ctx.showHidden) {
+    keys = Object.getOwnPropertyNames(value);
+  }
+
+  // IE doesn't make error fields non-enumerable
+  // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx
+  if (isError(value)
+      && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) {
+    return formatError(value);
+  }
+
+  // Some type of object without properties can be shortcutted.
+  if (keys.length === 0) {
+    if (isFunction(value)) {
+      var name = value.name ? ': ' + value.name : '';
+      return ctx.stylize('[Function' + name + ']', 'special');
+    }
+    if (isRegExp(value)) {
+      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');
+    }
+    if (isDate(value)) {
+      return ctx.stylize(Date.prototype.toString.call(value), 'date');
+    }
+    if (isError(value)) {
+      return formatError(value);
+    }
+  }
+
+  var base = '', array = false, braces = ['{', '}'];
+
+  // Make Array say that they are Array
+  if (isArray(value)) {
+    array = true;
+    braces = ['[', ']'];
+  }
+
+  // Make functions say that they are functions
+  if (isFunction(value)) {
+    var n = value.name ? ': ' + value.name : '';
+    base = ' [Function' + n + ']';
+  }
+
+  // Make RegExps say that they are RegExps
+  if (isRegExp(value)) {
+    base = ' ' + RegExp.prototype.toString.call(value);
+  }
+
+  // Make dates with properties first say the date
+  if (isDate(value)) {
+    base = ' ' + Date.prototype.toUTCString.call(value);
+  }
+
+  // Make error with message first say the error
+  if (isError(value)) {
+    base = ' ' + formatError(value);
+  }
+
+  if (keys.length === 0 && (!array || value.length == 0)) {
+    return braces[0] + base + braces[1];
+  }
+
+  if (recurseTimes < 0) {
+    if (isRegExp(value)) {
+      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');
+    } else {
+      return ctx.stylize('[Object]', 'special');
+    }
+  }
+
+  ctx.seen.push(value);
+
+  var output;
+  if (array) {
+    output = formatArray(ctx, value, recurseTimes, visibleKeys, keys);
+  } else {
+    output = keys.map(function(key) {
+      return formatProperty(ctx, value, recurseTimes, visibleKeys, key, array);
+    });
+  }
+
+  ctx.seen.pop();
+
+  return reduceToSingleString(output, base, braces);
+}
+
+
+function formatPrimitive(ctx, value) {
+  if (isUndefined(value))
+    return ctx.stylize('undefined', 'undefined');
+  if (isString(value)) {
+    var simple = '\'' + JSON.stringify(value).replace(/^"|"$/g, '')
+                                             .replace(/'/g, "\\'")
+                                             .replace(/\\"/g, '"') + '\'';
+    return ctx.stylize(simple, 'string');
+  }
+  if (isNumber(value))
+    return ctx.stylize('' + value, 'number');
+  if (isBoolean(value))
+    return ctx.stylize('' + value, 'boolean');
+  // For some reason typeof null is "object", so special case here.
+  if (isNull(value))
+    return ctx.stylize('null', 'null');
+}
+
+
+function formatError(value) {
+  return '[' + Error.prototype.toString.call(value) + ']';
+}
+
+
+function formatArray(ctx, value, recurseTimes, visibleKeys, keys) {
+  var output = [];
+  for (var i = 0, l = value.length; i < l; ++i) {
+    if (hasOwnProperty(value, String(i))) {
+      output.push(formatProperty(ctx, value, recurseTimes, visibleKeys,
+          String(i), true));
+    } else {
+      output.push('');
+    }
+  }
+  keys.forEach(function(key) {
+    if (!key.match(/^\d+$/)) {
+      output.push(formatProperty(ctx, value, recurseTimes, visibleKeys,
+          key, true));
+    }
+  });
+  return output;
+}
+
+
+function formatProperty(ctx, value, recurseTimes, visibleKeys, key, array) {
+  var name, str, desc;
+  desc = Object.getOwnPropertyDescriptor(value, key) || { value: value[key] };
+  if (desc.get) {
+    if (desc.set) {
+      str = ctx.stylize('[Getter/Setter]', 'special');
+    } else {
+      str = ctx.stylize('[Getter]', 'special');
+    }
+  } else {
+    if (desc.set) {
+      str = ctx.stylize('[Setter]', 'special');
+    }
+  }
+  if (!hasOwnProperty(visibleKeys, key)) {
+    name = '[' + key + ']';
+  }
+  if (!str) {
+    if (ctx.seen.indexOf(desc.value) < 0) {
+      if (isNull(recurseTimes)) {
+        str = formatValue(ctx, desc.value, null);
+      } else {
+        str = formatValue(ctx, desc.value, recurseTimes - 1);
+      }
+      if (str.indexOf('\n') > -1) {
+        if (array) {
+          str = str.split('\n').map(function(line) {
+            return '  ' + line;
+          }).join('\n').substr(2);
+        } else {
+          str = '\n' + str.split('\n').map(function(line) {
+            return '   ' + line;
+          }).join('\n');
+        }
+      }
+    } else {
+      str = ctx.stylize('[Circular]', 'special');
+    }
+  }
+  if (isUndefined(name)) {
+    if (array && key.match(/^\d+$/)) {
+      return str;
+    }
+    name = JSON.stringify('' + key);
+    if (name.match(/^"([a-zA-Z_][a-zA-Z_0-9]*)"$/)) {
+      name = name.substr(1, name.length - 2);
+      name = ctx.stylize(name, 'name');
+    } else {
+      name = name.replace(/'/g, "\\'")
+                 .replace(/\\"/g, '"')
+                 .replace(/(^"|"$)/g, "'");
+      name = ctx.stylize(name, 'string');
+    }
+  }
+
+  return name + ': ' + str;
+}
+
+
+function reduceToSingleString(output, base, braces) {
+  var numLinesEst = 0;
+  var length = output.reduce(function(prev, cur) {
+    numLinesEst++;
+    if (cur.indexOf('\n') >= 0) numLinesEst++;
+    return prev + cur.replace(/\u001b\[\d\d?m/g, '').length + 1;
+  }, 0);
+
+  if (length > 60) {
+    return braces[0] +
+           (base === '' ? '' : base + '\n ') +
+           ' ' +
+           output.join(',\n  ') +
+           ' ' +
+           braces[1];
+  }
+
+  return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1];
+}
+
+
+// NOTE: These type checking functions intentionally don't use `instanceof`
+// because it is fragile and can be easily faked with `Object.create()`.
+function isArray(ar) {
+  return Array.isArray(ar);
+}
+exports.isArray = isArray;
+
+function isBoolean(arg) {
+  return typeof arg === 'boolean';
+}
+exports.isBoolean = isBoolean;
+
+function isNull(arg) {
+  return arg === null;
+}
+exports.isNull = isNull;
+
+function isNullOrUndefined(arg) {
+  return arg == null;
+}
+exports.isNullOrUndefined = isNullOrUndefined;
+
+function isNumber(arg) {
+  return typeof arg === 'number';
+}
+exports.isNumber = isNumber;
+
+function isString(arg) {
+  return typeof arg === 'string';
+}
+exports.isString = isString;
+
+function isSymbol(arg) {
+  return typeof arg === 'symbol';
+}
+exports.isSymbol = isSymbol;
+
+function isUndefined(arg) {
+  return arg === void 0;
+}
+exports.isUndefined = isUndefined;
+
+function isRegExp(re) {
+  return isObject(re) && objectToString(re) === '[object RegExp]';
+}
+exports.isRegExp = isRegExp;
+
+function isObject(arg) {
+  return typeof arg === 'object' && arg !== null;
+}
+exports.isObject = isObject;
+
+function isDate(d) {
+  return isObject(d) && objectToString(d) === '[object Date]';
+}
+exports.isDate = isDate;
+
+function isError(e) {
+  return isObject(e) &&
+      (objectToString(e) === '[object Error]' || e instanceof Error);
+}
+exports.isError = isError;
+
+function isFunction(arg) {
+  return typeof arg === 'function';
+}
+exports.isFunction = isFunction;
+
+function isPrimitive(arg) {
+  return arg === null ||
+         typeof arg === 'boolean' ||
+         typeof arg === 'number' ||
+         typeof arg === 'string' ||
+         typeof arg === 'symbol' ||  // ES6 symbol
+         typeof arg === 'undefined';
+}
+exports.isPrimitive = isPrimitive;
+
+exports.isBuffer = require('./support/isBuffer');
+
+function objectToString(o) {
+  return Object.prototype.toString.call(o);
+}
+
+
+function pad(n) {
+  return n < 10 ? '0' + n.toString(10) : n.toString(10);
+}
+
+
+var months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep',
+              'Oct', 'Nov', 'Dec'];
+
+// 26 Feb 16:19:34
+function timestamp() {
+  var d = new Date();
+  var time = [pad(d.getHours()),
+              pad(d.getMinutes()),
+              pad(d.getSeconds())].join(':');
+  return [d.getDate(), months[d.getMonth()], time].join(' ');
+}
+
+
+// log is just a thin wrapper to console.log that prepends a timestamp
+exports.log = function() {
+  console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments));
+};
+
+
+/**
+ * Inherit the prototype methods from one constructor into another.
+ *
+ * The Function.prototype.inherits from lang.js rewritten as a standalone
+ * function (not on Function.prototype). NOTE: If this file is to be loaded
+ * during bootstrapping this function needs to be rewritten using some native
+ * functions as prototype setup using normal JavaScript does not work as
+ * expected during bootstrapping (see mirror.js in r114903).
+ *
+ * @param {function} ctor Constructor function which needs to inherit the
+ *     prototype.
+ * @param {function} superCtor Constructor function to inherit prototype from.
+ */
+exports.inherits = require('inherits');
+
+exports._extend = function(origin, add) {
+  // Don't do anything if add isn't an object
+  if (!add || !isObject(add)) return origin;
+
+  var keys = Object.keys(add);
+  var i = keys.length;
+  while (i--) {
+    origin[keys[i]] = add[keys[i]];
+  }
+  return origin;
+};
+
+function hasOwnProperty(obj, prop) {
+  return Object.prototype.hasOwnProperty.call(obj, prop);
+}
+
+},{"./support/isBuffer":21,"inherits":20}],23:[function(require,module,exports){
+"use strict";
+
+var globalObject = require("@sinonjs/commons").global;
+
+// eslint-disable-next-line complexity
+function withGlobal(_global) {
+    var userAgent = _global.navigator && _global.navigator.userAgent;
+    var isRunningInIE = userAgent && userAgent.indexOf("MSIE ") > -1;
+    var maxTimeout = Math.pow(2, 31) - 1; //see https://heycam.github.io/webidl/#abstract-opdef-converttoint
+    var NOOP = function() {
+        return undefined;
+    };
+    var NOOP_ARRAY = function() {
+        return [];
+    };
+    var timeoutResult = _global.setTimeout(NOOP, 0);
+    var addTimerReturnsObject = typeof timeoutResult === "object";
+    var hrtimePresent =
+        _global.process && typeof _global.process.hrtime === "function";
+    var hrtimeBigintPresent =
+        hrtimePresent && typeof _global.process.hrtime.bigint === "function";
+    var nextTickPresent =
+        _global.process && typeof _global.process.nextTick === "function";
+    var utilPromisify = _global.process && require("util").promisify;
+    var performancePresent =
+        _global.performance && typeof _global.performance.now === "function";
+    var hasPerformancePrototype =
+        _global.Performance &&
+        (typeof _global.Performance).match(/^(function|object)$/);
+    var queueMicrotaskPresent = _global.hasOwnProperty("queueMicrotask");
+    var requestAnimationFramePresent =
+        _global.requestAnimationFrame &&
+        typeof _global.requestAnimationFrame === "function";
+    var cancelAnimationFramePresent =
+        _global.cancelAnimationFrame &&
+        typeof _global.cancelAnimationFrame === "function";
+    var requestIdleCallbackPresent =
+        _global.requestIdleCallback &&
+        typeof _global.requestIdleCallback === "function";
+    var cancelIdleCallbackPresent =
+        _global.cancelIdleCallback &&
+        typeof _global.cancelIdleCallback === "function";
+    var setImmediatePresent =
+        _global.setImmediate && typeof _global.setImmediate === "function";
+
+    // Make properties writable in IE, as per
+    // http://www.adequatelygood.com/Replacing-setTimeout-Globally.html
+    /* eslint-disable no-self-assign */
+    if (isRunningInIE) {
+        _global.setTimeout = _global.setTimeout;
+        _global.clearTimeout = _global.clearTimeout;
+        _global.setInterval = _global.setInterval;
+        _global.clearInterval = _global.clearInterval;
+        _global.Date = _global.Date;
+    }
+
+    // setImmediate is not a standard function
+    // avoid adding the prop to the window object if not present
+    if (setImmediatePresent) {
+        _global.setImmediate = _global.setImmediate;
+        _global.clearImmediate = _global.clearImmediate;
+    }
+    /* eslint-enable no-self-assign */
+
+    _global.clearTimeout(timeoutResult);
+
+    var NativeDate = _global.Date;
+    var uniqueTimerId = 1;
+
+    function isNumberFinite(num) {
+        if (Number.isFinite) {
+            return Number.isFinite(num);
+        }
+
+        if (typeof num !== "number") {
+            return false;
+        }
+
+        return isFinite(num);
+    }
+
+    /**
+     * Parse strings like "01:10:00" (meaning 1 hour, 10 minutes, 0 seconds) into
+     * number of milliseconds. This is used to support human-readable strings passed
+     * to clock.tick()
+     */
+    function parseTime(str) {
+        if (!str) {
+            return 0;
+        }
+
+        var strings = str.split(":");
+        var l = strings.length;
+        var i = l;
+        var ms = 0;
+        var parsed;
+
+        if (l > 3 || !/^(\d\d:){0,2}\d\d?$/.test(str)) {
+            throw new Error(
+                "tick only understands numbers, 'm:s' and 'h:m:s'. Each part must be two digits"
+            );
+        }
+
+        while (i--) {
+            parsed = parseInt(strings[i], 10);
+
+            if (parsed >= 60) {
+                throw new Error("Invalid time " + str);
+            }
+
+            ms += parsed * Math.pow(60, l - i - 1);
+        }
+
+        return ms * 1000;
+    }
+
+    /**
+     * Get the decimal part of the millisecond value as nanoseconds
+     *
+     * @param {Number} msFloat the number of milliseconds
+     * @returns {Number} an integer number of nanoseconds in the range [0,1e6)
+     *
+     * Example: nanoRemainer(123.456789) -> 456789
+     */
+    function nanoRemainder(msFloat) {
+        var modulo = 1e6;
+        var remainder = (msFloat * 1e6) % modulo;
+        var positiveRemainder = remainder < 0 ? remainder + modulo : remainder;
+
+        return Math.floor(positiveRemainder);
+    }
+
+    /**
+     * Used to grok the `now` parameter to createClock.
+     * @param epoch {Date|number} the system time
+     */
+    function getEpoch(epoch) {
+        if (!epoch) {
+            return 0;
+        }
+        if (typeof epoch.getTime === "function") {
+            return epoch.getTime();
+        }
+        if (typeof epoch === "number") {
+            return epoch;
+        }
+        throw new TypeError("now should be milliseconds since UNIX epoch");
+    }
+
+    function inRange(from, to, timer) {
+        return timer && timer.callAt >= from && timer.callAt <= to;
+    }
+
+    function mirrorDateProperties(target, source) {
+        var prop;
+        for (prop in source) {
+            if (source.hasOwnProperty(prop)) {
+                target[prop] = source[prop];
+            }
+        }
+
+        // set special now implementation
+        if (source.now) {
+            target.now = function now() {
+                return target.clock.now;
+            };
+        } else {
+            delete target.now;
+        }
+
+        // set special toSource implementation
+        if (source.toSource) {
+            target.toSource = function toSource() {
+                return source.toSource();
+            };
+        } else {
+            delete target.toSource;
+        }
+
+        // set special toString implementation
+        target.toString = function toString() {
+            return source.toString();
+        };
+
+        target.prototype = source.prototype;
+        target.parse = source.parse;
+        target.UTC = source.UTC;
+        target.prototype.toUTCString = source.prototype.toUTCString;
+
+        return target;
+    }
+
+    function createDate() {
+        function ClockDate(year, month, date, hour, minute, second, ms) {
+            // the Date constructor called as a function, ref Ecma-262 Edition 5.1, section 15.9.2.
+            // This remains so in the 10th edition of 2019 as well.
+            if (!(this instanceof ClockDate)) {
+                return new NativeDate(ClockDate.clock.now).toString();
+            }
+
+            // if Date is called as a constructor with 'new' keyword
+            // Defensive and verbose to avoid potential harm in passing
+            // explicit undefined when user does not pass argument
+            switch (arguments.length) {
+                case 0:
+                    return new NativeDate(ClockDate.clock.now);
+                case 1:
+                    return new NativeDate(year);
+                case 2:
+                    return new NativeDate(year, month);
+                case 3:
+                    return new NativeDate(year, month, date);
+                case 4:
+                    return new NativeDate(year, month, date, hour);
+                case 5:
+                    return new NativeDate(year, month, date, hour, minute);
+                case 6:
+                    return new NativeDate(
+                        year,
+                        month,
+                        date,
+                        hour,
+                        minute,
+                        second
+                    );
+                default:
+                    return new NativeDate(
+                        year,
+                        month,
+                        date,
+                        hour,
+                        minute,
+                        second,
+                        ms
+                    );
+            }
+        }
+
+        return mirrorDateProperties(ClockDate, NativeDate);
+    }
+
+    function enqueueJob(clock, job) {
+        // enqueues a microtick-deferred task - ecma262/#sec-enqueuejob
+        if (!clock.jobs) {
+            clock.jobs = [];
+        }
+        clock.jobs.push(job);
+    }
+
+    function runJobs(clock) {
+        // runs all microtick-deferred tasks - ecma262/#sec-runjobs
+        if (!clock.jobs) {
+            return;
+        }
+        for (var i = 0; i < clock.jobs.length; i++) {
+            var job = clock.jobs[i];
+            job.func.apply(null, job.args);
+            if (clock.loopLimit && i > clock.loopLimit) {
+                throw new Error(
+                    "Aborting after running " +
+                        clock.loopLimit +
+                        " timers, assuming an infinite loop!"
+                );
+            }
+        }
+        clock.jobs = [];
+    }
+
+    function addTimer(clock, timer) {
+        if (timer.func === undefined) {
+            throw new Error("Callback must be provided to timer calls");
+        }
+
+        timer.type = timer.immediate ? "Immediate" : "Timeout";
+
+        if (timer.hasOwnProperty("delay")) {
+            if (!isNumberFinite(timer.delay)) {
+                timer.delay = 0;
+            }
+            timer.delay = timer.delay > maxTimeout ? 1 : timer.delay;
+            timer.delay = Math.max(0, timer.delay);
+        }
+
+        if (timer.hasOwnProperty("interval")) {
+            timer.type = "Interval";
+            timer.interval = timer.interval > maxTimeout ? 1 : timer.interval;
+        }
+
+        if (timer.hasOwnProperty("animation")) {
+            timer.type = "AnimationFrame";
+            timer.animation = true;
+        }
+
+        if (!clock.timers) {
+            clock.timers = {};
+        }
+
+        timer.id = uniqueTimerId++;
+        timer.createdAt = clock.now;
+        timer.callAt =
+            clock.now + (parseInt(timer.delay) || (clock.duringTick ? 1 : 0));
+
+        clock.timers[timer.id] = timer;
+
+        if (addTimerReturnsObject) {
+            var res = {
+                id: timer.id,
+                ref: function() {
+                    return res;
+                },
+                unref: function() {
+                    return res;
+                },
+                refresh: function() {
+                    return res;
+                }
+            };
+            return res;
+        }
+
+        return timer.id;
+    }
+
+    /* eslint consistent-return: "off" */
+    function compareTimers(a, b) {
+        // Sort first by absolute timing
+        if (a.callAt < b.callAt) {
+            return -1;
+        }
+        if (a.callAt > b.callAt) {
+            return 1;
+        }
+
+        // Sort next by immediate, immediate timers take precedence
+        if (a.immediate && !b.immediate) {
+            return -1;
+        }
+        if (!a.immediate && b.immediate) {
+            return 1;
+        }
+
+        // Sort next by creation time, earlier-created timers take precedence
+        if (a.createdAt < b.createdAt) {
+            return -1;
+        }
+        if (a.createdAt > b.createdAt) {
+            return 1;
+        }
+
+        // Sort next by id, lower-id timers take precedence
+        if (a.id < b.id) {
+            return -1;
+        }
+        if (a.id > b.id) {
+            return 1;
+        }
+
+        // As timer ids are unique, no fallback `0` is necessary
+    }
+
+    function firstTimerInRange(clock, from, to) {
+        var timers = clock.timers;
+        var timer = null;
+        var id, isInRange;
+
+        for (id in timers) {
+            if (timers.hasOwnProperty(id)) {
+                isInRange = inRange(from, to, timers[id]);
+
+                if (
+                    isInRange &&
+                    (!timer || compareTimers(timer, timers[id]) === 1)
+                ) {
+                    timer = timers[id];
+                }
+            }
+        }
+
+        return timer;
+    }
+
+    function firstTimer(clock) {
+        var timers = clock.timers;
+        var timer = null;
+        var id;
+
+        for (id in timers) {
+            if (timers.hasOwnProperty(id)) {
+                if (!timer || compareTimers(timer, timers[id]) === 1) {
+                    timer = timers[id];
+                }
+            }
+        }
+
+        return timer;
+    }
+
+    function lastTimer(clock) {
+        var timers = clock.timers;
+        var timer = null;
+        var id;
+
+        for (id in timers) {
+            if (timers.hasOwnProperty(id)) {
+                if (!timer || compareTimers(timer, timers[id]) === -1) {
+                    timer = timers[id];
+                }
+            }
+        }
+
+        return timer;
+    }
+
+    function callTimer(clock, timer) {
+        if (typeof timer.interval === "number") {
+            clock.timers[timer.id].callAt += timer.interval;
+        } else {
+            delete clock.timers[timer.id];
+        }
+
+        if (typeof timer.func === "function") {
+            timer.func.apply(null, timer.args);
+        } else {
+            /* eslint no-eval: "off" */
+            eval(timer.func);
+        }
+    }
+
+    function clearTimer(clock, timerId, ttype) {
+        if (!timerId) {
+            // null appears to be allowed in most browsers, and appears to be
+            // relied upon by some libraries, like Bootstrap carousel
+            return;
+        }
+
+        if (!clock.timers) {
+            clock.timers = {};
+        }
+
+        // in Node, timerId is an object with .ref()/.unref(), and
+        // its .id field is the actual timer id.
+        var id = typeof timerId === "object" ? timerId.id : timerId;
+
+        if (clock.timers.hasOwnProperty(id)) {
+            // check that the ID matches a timer of the correct type
+            var timer = clock.timers[id];
+            if (timer.type === ttype) {
+                delete clock.timers[id];
+            } else {
+                var clear =
+                    ttype === "AnimationFrame"
+                        ? "cancelAnimationFrame"
+                        : "clear" + ttype;
+                var schedule =
+                    timer.type === "AnimationFrame"
+                        ? "requestAnimationFrame"
+                        : "set" + timer.type;
+                throw new Error(
+                    "Cannot clear timer: timer created with " +
+                        schedule +
+                        "() but cleared with " +
+                        clear +
+                        "()"
+                );
+            }
+        }
+    }
+
+    function uninstall(clock, target, config) {
+        var method, i, l;
+        var installedHrTime = "_hrtime";
+        var installedNextTick = "_nextTick";
+
+        for (i = 0, l = clock.methods.length; i < l; i++) {
+            method = clock.methods[i];
+            if (method === "hrtime" && target.process) {
+                target.process.hrtime = clock[installedHrTime];
+            } else if (method === "nextTick" && target.process) {
+                target.process.nextTick = clock[installedNextTick];
+            } else if (method === "performance") {
+                var originalPerfDescriptor = Object.getOwnPropertyDescriptor(
+                    clock,
+                    "_" + method
+                );
+                if (
+                    originalPerfDescriptor &&
+                    originalPerfDescriptor.get &&
+                    !originalPerfDescriptor.set
+                ) {
+                    Object.defineProperty(
+                        target,
+                        method,
+                        originalPerfDescriptor
+                    );
+                } else if (originalPerfDescriptor.configurable) {
+                    target[method] = clock["_" + method];
+                }
+            } else {
+                if (target[method] && target[method].hadOwnProperty) {
+                    target[method] = clock["_" + method];
+                    if (
+                        method === "clearInterval" &&
+                        config.shouldAdvanceTime === true
+                    ) {
+                        target[method](clock.attachedInterval);
+                    }
+                } else {
+                    try {
+                        delete target[method];
+                    } catch (ignore) {
+                        /* eslint no-empty: "off" */
+                    }
+                }
+            }
+        }
+
+        // Prevent multiple executions which will completely remove these props
+        clock.methods = [];
+
+        // return pending timers, to enable checking what timers remained on uninstall
+        if (!clock.timers) {
+            return [];
+        }
+        return Object.keys(clock.timers).map(function mapper(key) {
+            return clock.timers[key];
+        });
+    }
+
+    function hijackMethod(target, method, clock) {
+        var prop;
+        clock[method].hadOwnProperty = Object.prototype.hasOwnProperty.call(
+            target,
+            method
+        );
+        clock["_" + method] = target[method];
+
+        if (method === "Date") {
+            var date = mirrorDateProperties(clock[method], target[method]);
+            target[method] = date;
+        } else if (method === "performance") {
+            var originalPerfDescriptor = Object.getOwnPropertyDescriptor(
+                target,
+                method
+            );
+            // JSDOM has a read only performance field so we have to save/copy it differently
+            if (
+                originalPerfDescriptor &&
+                originalPerfDescriptor.get &&
+                !originalPerfDescriptor.set
+            ) {
+                Object.defineProperty(
+                    clock,
+                    "_" + method,
+                    originalPerfDescriptor
+                );
+
+                var perfDescriptor = Object.getOwnPropertyDescriptor(
+                    clock,
+                    method
+                );
+                Object.defineProperty(target, method, perfDescriptor);
+            } else {
+                target[method] = clock[method];
+            }
+        } else {
+            target[method] = function() {
+                return clock[method].apply(clock, arguments);
+            };
+
+            for (prop in clock[method]) {
+                if (clock[method].hasOwnProperty(prop)) {
+                    target[method][prop] = clock[method][prop];
+                }
+            }
+        }
+
+        target[method].clock = clock;
+    }
+
+    function doIntervalTick(clock, advanceTimeDelta) {
+        clock.tick(advanceTimeDelta);
+    }
+
+    var timers = {
+        setTimeout: _global.setTimeout,
+        clearTimeout: _global.clearTimeout,
+        setInterval: _global.setInterval,
+        clearInterval: _global.clearInterval,
+        Date: _global.Date
+    };
+
+    if (setImmediatePresent) {
+        timers.setImmediate = _global.setImmediate;
+        timers.clearImmediate = _global.clearImmediate;
+    }
+
+    if (hrtimePresent) {
+        timers.hrtime = _global.process.hrtime;
+    }
+
+    if (nextTickPresent) {
+        timers.nextTick = _global.process.nextTick;
+    }
+
+    if (performancePresent) {
+        timers.performance = _global.performance;
+    }
+
+    if (requestAnimationFramePresent) {
+        timers.requestAnimationFrame = _global.requestAnimationFrame;
+    }
+
+    if (queueMicrotaskPresent) {
+        timers.queueMicrotask = true;
+    }
+
+    if (cancelAnimationFramePresent) {
+        timers.cancelAnimationFrame = _global.cancelAnimationFrame;
+    }
+
+    if (requestIdleCallbackPresent) {
+        timers.requestIdleCallback = _global.requestIdleCallback;
+    }
+
+    if (cancelIdleCallbackPresent) {
+        timers.cancelIdleCallback = _global.cancelIdleCallback;
+    }
+
+    var keys =
+        Object.keys ||
+        function(obj) {
+            var ks = [];
+            var key;
+
+            for (key in obj) {
+                if (obj.hasOwnProperty(key)) {
+                    ks.push(key);
+                }
+            }
+
+            return ks;
+        };
+
+    var originalSetTimeout = _global.setImmediate || _global.setTimeout;
+
+    /**
+     * @param start {Date|number} the system time - non-integer values are floored
+     * @param loopLimit {number}  maximum number of timers that will be run when calling runAll()
+     */
+    function createClock(start, loopLimit) {
+        // eslint-disable-next-line no-param-reassign
+        start = Math.floor(getEpoch(start));
+        // eslint-disable-next-line no-param-reassign
+        loopLimit = loopLimit || 1000;
+        var nanos = 0;
+        var adjustedSystemTime = [0, 0]; // [millis, nanoremainder]
+
+        if (NativeDate === undefined) {
+            throw new Error(
+                "The global scope doesn't have a `Date` object" +
+                    " (see https://github.com/sinonjs/sinon/issues/1852#issuecomment-419622780)"
+            );
+        }
+
+        var clock = {
+            now: start,
+            timeouts: {},
+            Date: createDate(),
+            loopLimit: loopLimit
+        };
+
+        clock.Date.clock = clock;
+
+        function getTimeToNextFrame() {
+            return 16 - ((clock.now - start) % 16);
+        }
+
+        function hrtime(prev) {
+            var millisSinceStart = clock.now - adjustedSystemTime[0] - start;
+            var secsSinceStart = Math.floor(millisSinceStart / 1000);
+            var remainderInNanos =
+                (millisSinceStart - secsSinceStart * 1e3) * 1e6 +
+                nanos -
+                adjustedSystemTime[1];
+
+            if (Array.isArray(prev)) {
+                if (prev[1] > 1e9) {
+                    throw new TypeError(
+                        "Number of nanoseconds can't exceed a billion"
+                    );
+                }
+
+                var oldSecs = prev[0];
+                var nanoDiff = remainderInNanos - prev[1];
+                var secDiff = secsSinceStart - oldSecs;
+
+                if (nanoDiff < 0) {
+                    nanoDiff += 1e9;
+                    secDiff -= 1;
+                }
+
+                return [secDiff, nanoDiff];
+            }
+            return [secsSinceStart, remainderInNanos];
+        }
+
+        if (hrtimeBigintPresent) {
+            hrtime.bigint = function() {
+                var parts = hrtime();
+                return BigInt(parts[0]) * BigInt(1e9) + BigInt(parts[1]); // eslint-disable-line
+            };
+        }
+
+        clock.requestIdleCallback = function requestIdleCallback(
+            func,
+            timeout
+        ) {
+            var timeToNextIdlePeriod = 0;
+
+            if (clock.countTimers() > 0) {
+                timeToNextIdlePeriod = 50; // const for now
+            }
+
+            var result = addTimer(clock, {
+                func: func,
+                args: Array.prototype.slice.call(arguments, 2),
+                delay:
+                    typeof timeout === "undefined"
+                        ? timeToNextIdlePeriod
+                        : Math.min(timeout, timeToNextIdlePeriod)
+            });
+
+            return result.id || result;
+        };
+
+        clock.cancelIdleCallback = function cancelIdleCallback(timerId) {
+            return clearTimer(clock, timerId, "Timeout");
+        };
+
+        clock.setTimeout = function setTimeout(func, timeout) {
+            return addTimer(clock, {
+                func: func,
+                args: Array.prototype.slice.call(arguments, 2),
+                delay: timeout
+            });
+        };
+        if (typeof _global.Promise !== "undefined" && utilPromisify) {
+            clock.setTimeout[
+                utilPromisify.custom
+            ] = function promisifiedSetTimeout(timeout, arg) {
+                return new _global.Promise(function setTimeoutExecutor(
+                    resolve
+                ) {
+                    addTimer(clock, {
+                        func: resolve,
+                        args: [arg],
+                        delay: timeout
+                    });
+                });
+            };
+        }
+
+        clock.clearTimeout = function clearTimeout(timerId) {
+            return clearTimer(clock, timerId, "Timeout");
+        };
+
+        clock.nextTick = function nextTick(func) {
+            return enqueueJob(clock, {
+                func: func,
+                args: Array.prototype.slice.call(arguments, 1)
+            });
+        };
+
+        clock.queueMicrotask = function queueMicrotask(func) {
+            return clock.nextTick(func); // explicitly drop additional arguments
+        };
+
+        clock.setInterval = function setInterval(func, timeout) {
+            // eslint-disable-next-line no-param-reassign
+            timeout = parseInt(timeout, 10);
+            return addTimer(clock, {
+                func: func,
+                args: Array.prototype.slice.call(arguments, 2),
+                delay: timeout,
+                interval: timeout
+            });
+        };
+
+        clock.clearInterval = function clearInterval(timerId) {
+            return clearTimer(clock, timerId, "Interval");
+        };
+
+        if (setImmediatePresent) {
+            clock.setImmediate = function setImmediate(func) {
+                return addTimer(clock, {
+                    func: func,
+                    args: Array.prototype.slice.call(arguments, 1),
+                    immediate: true
+                });
+            };
+
+            if (typeof _global.Promise !== "undefined" && utilPromisify) {
+                clock.setImmediate[
+                    utilPromisify.custom
+                ] = function promisifiedSetImmediate(arg) {
+                    return new _global.Promise(function setImmediateExecutor(
+                        resolve
+                    ) {
+                        addTimer(clock, {
+                            func: resolve,
+                            args: [arg],
+                            immediate: true
+                        });
+                    });
+                };
+            }
+
+            clock.clearImmediate = function clearImmediate(timerId) {
+                return clearTimer(clock, timerId, "Immediate");
+            };
+        }
+
+        clock.countTimers = function countTimers() {
+            return (
+                Object.keys(clock.timers || {}).length +
+                (clock.jobs || []).length
+            );
+        };
+
+        clock.requestAnimationFrame = function requestAnimationFrame(func) {
+            var result = addTimer(clock, {
+                func: func,
+                delay: getTimeToNextFrame(),
+                args: [clock.now + getTimeToNextFrame()],
+                animation: true
+            });
+
+            return result.id || result;
+        };
+
+        clock.cancelAnimationFrame = function cancelAnimationFrame(timerId) {
+            return clearTimer(clock, timerId, "AnimationFrame");
+        };
+
+        clock.runMicrotasks = function runMicrotasks() {
+            runJobs(clock);
+        };
+
+        function doTick(tickValue, isAsync, resolve, reject) {
+            var msFloat =
+                typeof tickValue === "number"
+                    ? tickValue
+                    : parseTime(tickValue);
+            var ms = Math.floor(msFloat);
+            var remainder = nanoRemainder(msFloat);
+            var nanosTotal = nanos + remainder;
+            var tickTo = clock.now + ms;
+
+            if (msFloat < 0) {
+                throw new TypeError("Negative ticks are not supported");
+            }
+
+            // adjust for positive overflow
+            if (nanosTotal >= 1e6) {
+                tickTo += 1;
+                nanosTotal -= 1e6;
+            }
+
+            nanos = nanosTotal;
+            var tickFrom = clock.now;
+            var previous = clock.now;
+            var timer,
+                firstException,
+                oldNow,
+                nextPromiseTick,
+                compensationCheck,
+                postTimerCall;
+
+            clock.duringTick = true;
+
+            // perform microtasks
+            oldNow = clock.now;
+            runJobs(clock);
+            if (oldNow !== clock.now) {
+                // compensate for any setSystemTime() call during microtask callback
+                tickFrom += clock.now - oldNow;
+                tickTo += clock.now - oldNow;
+            }
+
+            function doTickInner() {
+                // perform each timer in the requested range
+                timer = firstTimerInRange(clock, tickFrom, tickTo);
+                // eslint-disable-next-line no-unmodified-loop-condition
+                while (timer && tickFrom <= tickTo) {
+                    if (clock.timers[timer.id]) {
+                        tickFrom = timer.callAt;
+                        clock.now = timer.callAt;
+                        oldNow = clock.now;
+                        try {
+                            runJobs(clock);
+                            callTimer(clock, timer);
+                        } catch (e) {
+                            firstException = firstException || e;
+                        }
+
+                        if (isAsync) {
+                            // finish up after native setImmediate callback to allow
+                            // all native es6 promises to process their callbacks after
+                            // each timer fires.
+                            originalSetTimeout(nextPromiseTick);
+                            return;
+                        }
+
+                        compensationCheck();
+                    }
+
+                    postTimerCall();
+                }
+
+                // perform process.nextTick()s again
+                oldNow = clock.now;
+                runJobs(clock);
+                if (oldNow !== clock.now) {
+                    // compensate for any setSystemTime() call during process.nextTick() callback
+                    tickFrom += clock.now - oldNow;
+                    tickTo += clock.now - oldNow;
+                }
+                clock.duringTick = false;
+
+                // corner case: during runJobs new timers were scheduled which could be in the range [clock.now, tickTo]
+                timer = firstTimerInRange(clock, tickFrom, tickTo);
+                if (timer) {
+                    try {
+                        clock.tick(tickTo - clock.now); // do it all again - for the remainder of the requested range
+                    } catch (e) {
+                        firstException = firstException || e;
+                    }
+                } else {
+                    // no timers remaining in the requested range: move the clock all the way to the end
+                    clock.now = tickTo;
+
+                    // update nanos
+                    nanos = nanosTotal;
+                }
+                if (firstException) {
+                    throw firstException;
+                }
+
+                if (isAsync) {
+                    resolve(clock.now);
+                } else {
+                    return clock.now;
+                }
+            }
+
+            nextPromiseTick =
+                isAsync &&
+                function() {
+                    try {
+                        compensationCheck();
+                        postTimerCall();
+                        doTickInner();
+                    } catch (e) {
+                        reject(e);
+                    }
+                };
+
+            compensationCheck = function() {
+                // compensate for any setSystemTime() call during timer callback
+                if (oldNow !== clock.now) {
+                    tickFrom += clock.now - oldNow;
+                    tickTo += clock.now - oldNow;
+                    previous += clock.now - oldNow;
+                }
+            };
+
+            postTimerCall = function() {
+                timer = firstTimerInRange(clock, previous, tickTo);
+                previous = tickFrom;
+            };
+
+            return doTickInner();
+        }
+
+        /**
+         * @param {tickValue} {String|Number} number of milliseconds or a human-readable value like "01:11:15"
+         */
+        clock.tick = function tick(tickValue) {
+            return doTick(tickValue, false);
+        };
+
+        if (typeof _global.Promise !== "undefined") {
+            clock.tickAsync = function tickAsync(ms) {
+                return new _global.Promise(function(resolve, reject) {
+                    originalSetTimeout(function() {
+                        try {
+                            doTick(ms, true, resolve, reject);
+                        } catch (e) {
+                            reject(e);
+                        }
+                    });
+                });
+            };
+        }
+
+        clock.next = function next() {
+            runJobs(clock);
+            var timer = firstTimer(clock);
+            if (!timer) {
+                return clock.now;
+            }
+
+            clock.duringTick = true;
+            try {
+                clock.now = timer.callAt;
+                callTimer(clock, timer);
+                runJobs(clock);
+                return clock.now;
+            } finally {
+                clock.duringTick = false;
+            }
+        };
+
+        if (typeof _global.Promise !== "undefined") {
+            clock.nextAsync = function nextAsync() {
+                return new _global.Promise(function(resolve, reject) {
+                    originalSetTimeout(function() {
+                        try {
+                            var timer = firstTimer(clock);
+                            if (!timer) {
+                                resolve(clock.now);
+                                return;
+                            }
+
+                            var err;
+                            clock.duringTick = true;
+                            clock.now = timer.callAt;
+                            try {
+                                callTimer(clock, timer);
+                            } catch (e) {
+                                err = e;
+                            }
+                            clock.duringTick = false;
+
+                            originalSetTimeout(function() {
+                                if (err) {
+                                    reject(err);
+                                } else {
+                                    resolve(clock.now);
+                                }
+                            });
+                        } catch (e) {
+                            reject(e);
+                        }
+                    });
+                });
+            };
+        }
+
+        clock.runAll = function runAll() {
+            var numTimers, i;
+            runJobs(clock);
+            for (i = 0; i < clock.loopLimit; i++) {
+                if (!clock.timers) {
+                    return clock.now;
+                }
+
+                numTimers = keys(clock.timers).length;
+                if (numTimers === 0) {
+                    return clock.now;
+                }
+
+                clock.next();
+            }
+
+            throw new Error(
+                "Aborting after running " +
+                    clock.loopLimit +
+                    " timers, assuming an infinite loop!"
+            );
+        };
+
+        clock.runToFrame = function runToFrame() {
+            return clock.tick(getTimeToNextFrame());
+        };
+
+        if (typeof _global.Promise !== "undefined") {
+            clock.runAllAsync = function runAllAsync() {
+                return new _global.Promise(function(resolve, reject) {
+                    var i = 0;
+                    function doRun() {
+                        originalSetTimeout(function() {
+                            try {
+                                var numTimers;
+                                if (i < clock.loopLimit) {
+                                    if (!clock.timers) {
+                                        resolve(clock.now);
+                                        return;
+                                    }
+
+                                    numTimers = Object.keys(clock.timers)
+                                        .length;
+                                    if (numTimers === 0) {
+                                        resolve(clock.now);
+                                        return;
+                                    }
+
+                                    clock.next();
+
+                                    i++;
+
+                                    doRun();
+                                    return;
+                                }
+
+                                reject(
+                                    new Error(
+                                        "Aborting after running " +
+                                            clock.loopLimit +
+                                            " timers, assuming an infinite loop!"
+                                    )
+                                );
+                            } catch (e) {
+                                reject(e);
+                            }
+                        });
+                    }
+                    doRun();
+                });
+            };
+        }
+
+        clock.runToLast = function runToLast() {
+            var timer = lastTimer(clock);
+            if (!timer) {
+                runJobs(clock);
+                return clock.now;
+            }
+
+            return clock.tick(timer.callAt - clock.now);
+        };
+
+        if (typeof _global.Promise !== "undefined") {
+            clock.runToLastAsync = function runToLastAsync() {
+                return new _global.Promise(function(resolve, reject) {
+                    originalSetTimeout(function() {
+                        try {
+                            var timer = lastTimer(clock);
+                            if (!timer) {
+                                resolve(clock.now);
+                            }
+
+                            resolve(clock.tickAsync(timer.callAt));
+                        } catch (e) {
+                            reject(e);
+                        }
+                    });
+                });
+            };
+        }
+
+        clock.reset = function reset() {
+            nanos = 0;
+            clock.timers = {};
+            clock.jobs = [];
+            clock.now = start;
+        };
+
+        clock.setSystemTime = function setSystemTime(systemTime) {
+            // determine time difference
+            var newNow = getEpoch(systemTime);
+            var difference = newNow - clock.now;
+            var id, timer;
+
+            adjustedSystemTime[0] = adjustedSystemTime[0] + difference;
+            adjustedSystemTime[1] = adjustedSystemTime[1] + nanos;
+            // update 'system clock'
+            clock.now = newNow;
+            nanos = 0;
+
+            // update timers and intervals to keep them stable
+            for (id in clock.timers) {
+                if (clock.timers.hasOwnProperty(id)) {
+                    timer = clock.timers[id];
+                    timer.createdAt += difference;
+                    timer.callAt += difference;
+                }
+            }
+        };
+
+        if (performancePresent) {
+            clock.performance = Object.create(null);
+
+            if (hasPerformancePrototype) {
+                var proto = _global.Performance.prototype;
+
+                Object.getOwnPropertyNames(proto).forEach(function(name) {
+                    if (name.indexOf("getEntries") === 0) {
+                        // match expected return type for getEntries functions
+                        clock.performance[name] = NOOP_ARRAY;
+                    } else {
+                        clock.performance[name] = NOOP;
+                    }
+                });
+            }
+
+            clock.performance.now = function FakeTimersNow() {
+                var hrt = hrtime();
+                var millis = hrt[0] * 1000 + hrt[1] / 1e6;
+                return millis;
+            };
+        }
+
+        if (hrtimePresent) {
+            clock.hrtime = hrtime;
+        }
+
+        return clock;
+    }
+
+    /**
+     * @param config {Object} optional config
+     * @param config.target {Object} the target to install timers in (default `window`)
+     * @param config.now {number|Date}  a number (in milliseconds) or a Date object (default epoch)
+     * @param config.toFake {string[]} names of the methods that should be faked.
+     * @param config.loopLimit {number} the maximum number of timers that will be run when calling runAll()
+     * @param config.shouldAdvanceTime {Boolean} tells FakeTimers to increment mocked time automatically (default false)
+     * @param config.advanceTimeDelta {Number} increment mocked time every <<advanceTimeDelta>> ms (default: 20ms)
+     */
+    // eslint-disable-next-line complexity
+    function install(config) {
+        if (
+            arguments.length > 1 ||
+            config instanceof Date ||
+            Array.isArray(config) ||
+            typeof config === "number"
+        ) {
+            throw new TypeError(
+                "FakeTimers.install called with " +
+                    String(config) +
+                    " install requires an object parameter"
+            );
+        }
+
+        // eslint-disable-next-line no-param-reassign
+        config = typeof config !== "undefined" ? config : {};
+        config.shouldAdvanceTime = config.shouldAdvanceTime || false;
+        config.advanceTimeDelta = config.advanceTimeDelta || 20;
+
+        var i, l;
+        var target = config.target || _global;
+        var clock = createClock(config.now, config.loopLimit);
+
+        clock.uninstall = function() {
+            return uninstall(clock, target, config);
+        };
+
+        clock.methods = config.toFake || [];
+
+        if (clock.methods.length === 0) {
+            // do not fake nextTick by default - GitHub#126
+            clock.methods = keys(timers).filter(function(key) {
+                return key !== "nextTick" && key !== "queueMicrotask";
+            });
+        }
+
+        for (i = 0, l = clock.methods.length; i < l; i++) {
+            if (clock.methods[i] === "hrtime") {
+                if (
+                    target.process &&
+                    typeof target.process.hrtime === "function"
+                ) {
+                    hijackMethod(target.process, clock.methods[i], clock);
+                }
+            } else if (clock.methods[i] === "nextTick") {
+                if (
+                    target.process &&
+                    typeof target.process.nextTick === "function"
+                ) {
+                    hijackMethod(target.process, clock.methods[i], clock);
+                }
+            } else {
+                if (
+                    clock.methods[i] === "setInterval" &&
+                    config.shouldAdvanceTime === true
+                ) {
+                    var intervalTick = doIntervalTick.bind(
+                        null,
+                        clock,
+                        config.advanceTimeDelta
+                    );
+                    var intervalId = target[clock.methods[i]](
+                        intervalTick,
+                        config.advanceTimeDelta
+                    );
+                    clock.attachedInterval = intervalId;
+                }
+                hijackMethod(target, clock.methods[i], clock);
+            }
+        }
+
+        return clock;
+    }
+
+    return {
+        timers: timers,
+        createClock: createClock,
+        install: install,
+        withGlobal: withGlobal
+    };
+}
+
+var defaultImplementation = withGlobal(globalObject);
+
+exports.timers = defaultImplementation.timers;
+exports.createClock = defaultImplementation.createClock;
+exports.install = defaultImplementation.install;
+exports.withGlobal = withGlobal;
+
+},{"@sinonjs/commons":7,"util":22}]},{},[23])(23)
+});
diff --git a/node_modules/@sinonjs/fake-timers/package.json b/node_modules/@sinonjs/fake-timers/package.json
new file mode 100644
index 000000000..9c314d424
--- /dev/null
+++ b/node_modules/@sinonjs/fake-timers/package.json
@@ -0,0 +1,131 @@
+{
+  "_args": [
+    [
+      "@sinonjs/fake-timers@6.0.1",
+      "/workspace/readable-readme"
+    ]
+  ],
+  "_development": true,
+  "_from": "@sinonjs/fake-timers@6.0.1",
+  "_id": "@sinonjs/fake-timers@6.0.1",
+  "_inBundle": false,
+  "_integrity": "sha512-MZPUxrmFubI36XS1DI3qmI0YdN1gks62JtFZvxR67ljjSNCeK6U08Zx4msEWOXuofgqUt6zPHSi1H9fbjR/NRA==",
+  "_location": "/@sinonjs/fake-timers",
+  "_phantomChildren": {},
+  "_requested": {
+    "type": "version",
+    "registry": true,
+    "raw": "@sinonjs/fake-timers@6.0.1",
+    "name": "@sinonjs/fake-timers",
+    "escapedName": "@sinonjs%2ffake-timers",
+    "scope": "@sinonjs",
+    "rawSpec": "6.0.1",
+    "saveSpec": null,
+    "fetchSpec": "6.0.1"
+  },
+  "_requiredBy": [
+    "/jest-circus/@jest/fake-timers",
+    "/jest-config/@jest/fake-timers",
+    "/jest-jasmine2/@jest/fake-timers",
+    "/jest-runner/@jest/fake-timers",
+    "/jest-runtime/@jest/fake-timers"
+  ],
+  "_resolved": "https://registry.npmjs.org/@sinonjs/fake-timers/-/fake-timers-6.0.1.tgz",
+  "_spec": "6.0.1",
+  "_where": "/workspace/readable-readme",
+  "author": {
+    "name": "Christian Johansen"
+  },
+  "bugs": {
+    "url": "http://github.com/sinonjs/fake-timers/issues"
+  },
+  "dependencies": {
+    "@sinonjs/commons": "^1.7.0"
+  },
+  "description": "Fake JavaScript timers",
+  "devDependencies": {
+    "@sinonjs/referee-sinon": "6.0.1",
+    "browserify": "16.5.0",
+    "eslint": "6.8.0",
+    "eslint-config-prettier": "6.10.0",
+    "eslint-config-sinon": "3.0.1",
+    "eslint-plugin-ie11": "1.0.0",
+    "eslint-plugin-mocha": "6.2.2",
+    "eslint-plugin-prettier": "3.1.1",
+    "husky": "4.2.1",
+    "jsdom": "15.1.1",
+    "lint-staged": "10.0.7",
+    "mocha": "7.0.1",
+    "mochify": "6.6.0",
+    "npm-run-all": "4.1.5",
+    "nyc": "14.1.1",
+    "prettier": "1.19.1"
+  },
+  "eslintConfig": {
+    "extends": "eslint-config-sinon",
+    "plugins": [
+      "ie11"
+    ],
+    "rules": {
+      "ie11/no-collection-args": [
+        "error"
+      ],
+      "ie11/no-for-in-const": [
+        "error"
+      ],
+      "ie11/no-loop-func": [
+        "warn"
+      ],
+      "ie11/no-weak-collections": [
+        "error"
+      ]
+    }
+  },
+  "files": [
+    "src/",
+    "fake-timers.js"
+  ],
+  "homepage": "http://github.com/sinonjs/fake-timers",
+  "husky": {
+    "hooks": {
+      "pre-commit": "run-p lint test-node"
+    }
+  },
+  "license": "BSD-3-Clause",
+  "lint-staged": {
+    "*.js": "eslint"
+  },
+  "main": "./src/fake-timers-src.js",
+  "module": "./fake-timers.js",
+  "name": "@sinonjs/fake-timers",
+  "nyc": {
+    "branches": 85,
+    "lines": 92,
+    "functions": 92,
+    "statements": 92,
+    "exclude": [
+      "**/*-test.js",
+      "coverage/**",
+      "fake-timers.js"
+    ]
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+ssh://git@github.com/sinonjs/fake-timers.git"
+  },
+  "scripts": {
+    "bundle": "browserify --no-detect-globals -s FakeTimers -o fake-timers.js src/fake-timers-src.js",
+    "lint": "eslint .",
+    "postversion": "./scripts/postversion.sh",
+    "prepublishOnly": "npm run bundle",
+    "preversion": "./scripts/preversion.sh",
+    "test": "npm run lint && npm run test-node && npm run test-headless",
+    "test-check-coverage": "npm run test-coverage && nyc check-coverage",
+    "test-cloud": "mochify --wd --no-detect-globals --timeout=10000",
+    "test-coverage": "nyc --all --reporter text --reporter html --reporter lcovonly npm run test-node",
+    "test-headless": "mochify --no-detect-globals --timeout=10000",
+    "test-node": "mocha test/ integration-test/ -R dot --check-leaks",
+    "version": "./scripts/version.sh"
+  },
+  "version": "6.0.1"
+}
diff --git a/node_modules/@sinonjs/fake-timers/src/fake-timers-src.js b/node_modules/@sinonjs/fake-timers/src/fake-timers-src.js
new file mode 100644
index 000000000..f723db5d5
--- /dev/null
+++ b/node_modules/@sinonjs/fake-timers/src/fake-timers-src.js
@@ -0,0 +1,1318 @@
+"use strict";
+
+var globalObject = require("@sinonjs/commons").global;
+
+// eslint-disable-next-line complexity
+function withGlobal(_global) {
+    var userAgent = _global.navigator && _global.navigator.userAgent;
+    var isRunningInIE = userAgent && userAgent.indexOf("MSIE ") > -1;
+    var maxTimeout = Math.pow(2, 31) - 1; //see https://heycam.github.io/webidl/#abstract-opdef-converttoint
+    var NOOP = function() {
+        return undefined;
+    };
+    var NOOP_ARRAY = function() {
+        return [];
+    };
+    var timeoutResult = _global.setTimeout(NOOP, 0);
+    var addTimerReturnsObject = typeof timeoutResult === "object";
+    var hrtimePresent =
+        _global.process && typeof _global.process.hrtime === "function";
+    var hrtimeBigintPresent =
+        hrtimePresent && typeof _global.process.hrtime.bigint === "function";
+    var nextTickPresent =
+        _global.process && typeof _global.process.nextTick === "function";
+    var utilPromisify = _global.process && require("util").promisify;
+    var performancePresent =
+        _global.performance && typeof _global.performance.now === "function";
+    var hasPerformancePrototype =
+        _global.Performance &&
+        (typeof _global.Performance).match(/^(function|object)$/);
+    var queueMicrotaskPresent = _global.hasOwnProperty("queueMicrotask");
+    var requestAnimationFramePresent =
+        _global.requestAnimationFrame &&
+        typeof _global.requestAnimationFrame === "function";
+    var cancelAnimationFramePresent =
+        _global.cancelAnimationFrame &&
+        typeof _global.cancelAnimationFrame === "function";
+    var requestIdleCallbackPresent =
+        _global.requestIdleCallback &&
+        typeof _global.requestIdleCallback === "function";
+    var cancelIdleCallbackPresent =
+        _global.cancelIdleCallback &&
+        typeof _global.cancelIdleCallback === "function";
+    var setImmediatePresent =
+        _global.setImmediate && typeof _global.setImmediate === "function";
+
+    // Make properties writable in IE, as per
+    // http://www.adequatelygood.com/Replacing-setTimeout-Globally.html
+    /* eslint-disable no-self-assign */
+    if (isRunningInIE) {
+        _global.setTimeout = _global.setTimeout;
+        _global.clearTimeout = _global.clearTimeout;
+        _global.setInterval = _global.setInterval;
+        _global.clearInterval = _global.clearInterval;
+        _global.Date = _global.Date;
+    }
+
+    // setImmediate is not a standard function
+    // avoid adding the prop to the window object if not present
+    if (setImmediatePresent) {
+        _global.setImmediate = _global.setImmediate;
+        _global.clearImmediate = _global.clearImmediate;
+    }
+    /* eslint-enable no-self-assign */
+
+    _global.clearTimeout(timeoutResult);
+
+    var NativeDate = _global.Date;
+    var uniqueTimerId = 1;
+
+    function isNumberFinite(num) {
+        if (Number.isFinite) {
+            return Number.isFinite(num);
+        }
+
+        if (typeof num !== "number") {
+            return false;
+        }
+
+        return isFinite(num);
+    }
+
+    /**
+     * Parse strings like "01:10:00" (meaning 1 hour, 10 minutes, 0 seconds) into
+     * number of milliseconds. This is used to support human-readable strings passed
+     * to clock.tick()
+     */
+    function parseTime(str) {
+        if (!str) {
+            return 0;
+        }
+
+        var strings = str.split(":");
+        var l = strings.length;
+        var i = l;
+        var ms = 0;
+        var parsed;
+
+        if (l > 3 || !/^(\d\d:){0,2}\d\d?$/.test(str)) {
+            throw new Error(
+                "tick only understands numbers, 'm:s' and 'h:m:s'. Each part must be two digits"
+            );
+        }
+
+        while (i--) {
+            parsed = parseInt(strings[i], 10);
+
+            if (parsed >= 60) {
+                throw new Error("Invalid time " + str);
+            }
+
+            ms += parsed * Math.pow(60, l - i - 1);
+        }
+
+        return ms * 1000;
+    }
+
+    /**
+     * Get the decimal part of the millisecond value as nanoseconds
+     *
+     * @param {Number} msFloat the number of milliseconds
+     * @returns {Number} an integer number of nanoseconds in the range [0,1e6)
+     *
+     * Example: nanoRemainer(123.456789) -> 456789
+     */
+    function nanoRemainder(msFloat) {
+        var modulo = 1e6;
+        var remainder = (msFloat * 1e6) % modulo;
+        var positiveRemainder = remainder < 0 ? remainder + modulo : remainder;
+
+        return Math.floor(positiveRemainder);
+    }
+
+    /**
+     * Used to grok the `now` parameter to createClock.
+     * @param epoch {Date|number} the system time
+     */
+    function getEpoch(epoch) {
+        if (!epoch) {
+            return 0;
+        }
+        if (typeof epoch.getTime === "function") {
+            return epoch.getTime();
+        }
+        if (typeof epoch === "number") {
+            return epoch;
+        }
+        throw new TypeError("now should be milliseconds since UNIX epoch");
+    }
+
+    function inRange(from, to, timer) {
+        return timer && timer.callAt >= from && timer.callAt <= to;
+    }
+
+    function mirrorDateProperties(target, source) {
+        var prop;
+        for (prop in source) {
+            if (source.hasOwnProperty(prop)) {
+                target[prop] = source[prop];
+            }
+        }
+
+        // set special now implementation
+        if (source.now) {
+            target.now = function now() {
+                return target.clock.now;
+            };
+        } else {
+            delete target.now;
+        }
+
+        // set special toSource implementation
+        if (source.toSource) {
+            target.toSource = function toSource() {
+                return source.toSource();
+            };
+        } else {
+            delete target.toSource;
+        }
+
+        // set special toString implementation
+        target.toString = function toString() {
+            return source.toString();
+        };
+
+        target.prototype = source.prototype;
+        target.parse = source.parse;
+        target.UTC = source.UTC;
+        target.prototype.toUTCString = source.prototype.toUTCString;
+
+        return target;
+    }
+
+    function createDate() {
+        function ClockDate(year, month, date, hour, minute, second, ms) {
+            // the Date constructor called as a function, ref Ecma-262 Edition 5.1, section 15.9.2.
+            // This remains so in the 10th edition of 2019 as well.
+            if (!(this instanceof ClockDate)) {
+                return new NativeDate(ClockDate.clock.now).toString();
+            }
+
+            // if Date is called as a constructor with 'new' keyword
+            // Defensive and verbose to avoid potential harm in passing
+            // explicit undefined when user does not pass argument
+            switch (arguments.length) {
+                case 0:
+                    return new NativeDate(ClockDate.clock.now);
+                case 1:
+                    return new NativeDate(year);
+                case 2:
+                    return new NativeDate(year, month);
+                case 3:
+                    return new NativeDate(year, month, date);
+                case 4:
+                    return new NativeDate(year, month, date, hour);
+                case 5:
+                    return new NativeDate(year, month, date, hour, minute);
+                case 6:
+                    return new NativeDate(
+                        year,
+                        month,
+                        date,
+                        hour,
+                        minute,
+                        second
+                    );
+                default:
+                    return new NativeDate(
+                        year,
+                        month,
+                        date,
+                        hour,
+                        minute,
+                        second,
+                        ms
+                    );
+            }
+        }
+
+        return mirrorDateProperties(ClockDate, NativeDate);
+    }
+
+    function enqueueJob(clock, job) {
+        // enqueues a microtick-deferred task - ecma262/#sec-enqueuejob
+        if (!clock.jobs) {
+            clock.jobs = [];
+        }
+        clock.jobs.push(job);
+    }
+
+    function runJobs(clock) {
+        // runs all microtick-deferred tasks - ecma262/#sec-runjobs
+        if (!clock.jobs) {
+            return;
+        }
+        for (var i = 0; i < clock.jobs.length; i++) {
+            var job = clock.jobs[i];
+            job.func.apply(null, job.args);
+            if (clock.loopLimit && i > clock.loopLimit) {
+                throw new Error(
+                    "Aborting after running " +
+                        clock.loopLimit +
+                        " timers, assuming an infinite loop!"
+                );
+            }
+        }
+        clock.jobs = [];
+    }
+
+    function addTimer(clock, timer) {
+        if (timer.func === undefined) {
+            throw new Error("Callback must be provided to timer calls");
+        }
+
+        timer.type = timer.immediate ? "Immediate" : "Timeout";
+
+        if (timer.hasOwnProperty("delay")) {
+            if (!isNumberFinite(timer.delay)) {
+                timer.delay = 0;
+            }
+            timer.delay = timer.delay > maxTimeout ? 1 : timer.delay;
+            timer.delay = Math.max(0, timer.delay);
+        }
+
+        if (timer.hasOwnProperty("interval")) {
+            timer.type = "Interval";
+            timer.interval = timer.interval > maxTimeout ? 1 : timer.interval;
+        }
+
+        if (timer.hasOwnProperty("animation")) {
+            timer.type = "AnimationFrame";
+            timer.animation = true;
+        }
+
+        if (!clock.timers) {
+            clock.timers = {};
+        }
+
+        timer.id = uniqueTimerId++;
+        timer.createdAt = clock.now;
+        timer.callAt =
+            clock.now + (parseInt(timer.delay) || (clock.duringTick ? 1 : 0));
+
+        clock.timers[timer.id] = timer;
+
+        if (addTimerReturnsObject) {
+            var res = {
+                id: timer.id,
+                ref: function() {
+                    return res;
+                },
+                unref: function() {
+                    return res;
+                },
+                refresh: function() {
+                    return res;
+                }
+            };
+            return res;
+        }
+
+        return timer.id;
+    }
+
+    /* eslint consistent-return: "off" */
+    function compareTimers(a, b) {
+        // Sort first by absolute timing
+        if (a.callAt < b.callAt) {
+            return -1;
+        }
+        if (a.callAt > b.callAt) {
+            return 1;
+        }
+
+        // Sort next by immediate, immediate timers take precedence
+        if (a.immediate && !b.immediate) {
+            return -1;
+        }
+        if (!a.immediate && b.immediate) {
+            return 1;
+        }
+
+        // Sort next by creation time, earlier-created timers take precedence
+        if (a.createdAt < b.createdAt) {
+            return -1;
+        }
+        if (a.createdAt > b.createdAt) {
+            return 1;
+        }
+
+        // Sort next by id, lower-id timers take precedence
+        if (a.id < b.id) {
+            return -1;
+        }
+        if (a.id > b.id) {
+            return 1;
+        }
+
+        // As timer ids are unique, no fallback `0` is necessary
+    }
+
+    function firstTimerInRange(clock, from, to) {
+        var timers = clock.timers;
+        var timer = null;
+        var id, isInRange;
+
+        for (id in timers) {
+            if (timers.hasOwnProperty(id)) {
+                isInRange = inRange(from, to, timers[id]);
+
+                if (
+                    isInRange &&
+                    (!timer || compareTimers(timer, timers[id]) === 1)
+                ) {
+                    timer = timers[id];
+                }
+            }
+        }
+
+        return timer;
+    }
+
+    function firstTimer(clock) {
+        var timers = clock.timers;
+        var timer = null;
+        var id;
+
+        for (id in timers) {
+            if (timers.hasOwnProperty(id)) {
+                if (!timer || compareTimers(timer, timers[id]) === 1) {
+                    timer = timers[id];
+                }
+            }
+        }
+
+        return timer;
+    }
+
+    function lastTimer(clock) {
+        var timers = clock.timers;
+        var timer = null;
+        var id;
+
+        for (id in timers) {
+            if (timers.hasOwnProperty(id)) {
+                if (!timer || compareTimers(timer, timers[id]) === -1) {
+                    timer = timers[id];
+                }
+            }
+        }
+
+        return timer;
+    }
+
+    function callTimer(clock, timer) {
+        if (typeof timer.interval === "number") {
+            clock.timers[timer.id].callAt += timer.interval;
+        } else {
+            delete clock.timers[timer.id];
+        }
+
+        if (typeof timer.func === "function") {
+            timer.func.apply(null, timer.args);
+        } else {
+            /* eslint no-eval: "off" */
+            eval(timer.func);
+        }
+    }
+
+    function clearTimer(clock, timerId, ttype) {
+        if (!timerId) {
+            // null appears to be allowed in most browsers, and appears to be
+            // relied upon by some libraries, like Bootstrap carousel
+            return;
+        }
+
+        if (!clock.timers) {
+            clock.timers = {};
+        }
+
+        // in Node, timerId is an object with .ref()/.unref(), and
+        // its .id field is the actual timer id.
+        var id = typeof timerId === "object" ? timerId.id : timerId;
+
+        if (clock.timers.hasOwnProperty(id)) {
+            // check that the ID matches a timer of the correct type
+            var timer = clock.timers[id];
+            if (timer.type === ttype) {
+                delete clock.timers[id];
+            } else {
+                var clear =
+                    ttype === "AnimationFrame"
+                        ? "cancelAnimationFrame"
+                        : "clear" + ttype;
+                var schedule =
+                    timer.type === "AnimationFrame"
+                        ? "requestAnimationFrame"
+                        : "set" + timer.type;
+                throw new Error(
+                    "Cannot clear timer: timer created with " +
+                        schedule +
+                        "() but cleared with " +
+                        clear +
+                        "()"
+                );
+            }
+        }
+    }
+
+    function uninstall(clock, target, config) {
+        var method, i, l;
+        var installedHrTime = "_hrtime";
+        var installedNextTick = "_nextTick";
+
+        for (i = 0, l = clock.methods.length; i < l; i++) {
+            method = clock.methods[i];
+            if (method === "hrtime" && target.process) {
+                target.process.hrtime = clock[installedHrTime];
+            } else if (method === "nextTick" && target.process) {
+                target.process.nextTick = clock[installedNextTick];
+            } else if (method === "performance") {
+                var originalPerfDescriptor = Object.getOwnPropertyDescriptor(
+                    clock,
+                    "_" + method
+                );
+                if (
+                    originalPerfDescriptor &&
+                    originalPerfDescriptor.get &&
+                    !originalPerfDescriptor.set
+                ) {
+                    Object.defineProperty(
+                        target,
+                        method,
+                        originalPerfDescriptor
+                    );
+                } else if (originalPerfDescriptor.configurable) {
+                    target[method] = clock["_" + method];
+                }
+            } else {
+                if (target[method] && target[method].hadOwnProperty) {
+                    target[method] = clock["_" + method];
+                    if (
+                        method === "clearInterval" &&
+                        config.shouldAdvanceTime === true
+                    ) {
+                        target[method](clock.attachedInterval);
+                    }
+                } else {
+                    try {
+                        delete target[method];
+                    } catch (ignore) {
+                        /* eslint no-empty: "off" */
+                    }
+                }
+            }
+        }
+
+        // Prevent multiple executions which will completely remove these props
+        clock.methods = [];
+
+        // return pending timers, to enable checking what timers remained on uninstall
+        if (!clock.timers) {
+            return [];
+        }
+        return Object.keys(clock.timers).map(function mapper(key) {
+            return clock.timers[key];
+        });
+    }
+
+    function hijackMethod(target, method, clock) {
+        var prop;
+        clock[method].hadOwnProperty = Object.prototype.hasOwnProperty.call(
+            target,
+            method
+        );
+        clock["_" + method] = target[method];
+
+        if (method === "Date") {
+            var date = mirrorDateProperties(clock[method], target[method]);
+            target[method] = date;
+        } else if (method === "performance") {
+            var originalPerfDescriptor = Object.getOwnPropertyDescriptor(
+                target,
+                method
+            );
+            // JSDOM has a read only performance field so we have to save/copy it differently
+            if (
+                originalPerfDescriptor &&
+                originalPerfDescriptor.get &&
+                !originalPerfDescriptor.set
+            ) {
+                Object.defineProperty(
+                    clock,
+                    "_" + method,
+                    originalPerfDescriptor
+                );
+
+                var perfDescriptor = Object.getOwnPropertyDescriptor(
+                    clock,
+                    method
+                );
+                Object.defineProperty(target, method, perfDescriptor);
+            } else {
+                target[method] = clock[method];
+            }
+        } else {
+            target[method] = function() {
+                return clock[method].apply(clock, arguments);
+            };
+
+            for (prop in clock[method]) {
+                if (clock[method].hasOwnProperty(prop)) {
+                    target[method][prop] = clock[method][prop];
+                }
+            }
+        }
+
+        target[method].clock = clock;
+    }
+
+    function doIntervalTick(clock, advanceTimeDelta) {
+        clock.tick(advanceTimeDelta);
+    }
+
+    var timers = {
+        setTimeout: _global.setTimeout,
+        clearTimeout: _global.clearTimeout,
+        setInterval: _global.setInterval,
+        clearInterval: _global.clearInterval,
+        Date: _global.Date
+    };
+
+    if (setImmediatePresent) {
+        timers.setImmediate = _global.setImmediate;
+        timers.clearImmediate = _global.clearImmediate;
+    }
+
+    if (hrtimePresent) {
+        timers.hrtime = _global.process.hrtime;
+    }
+
+    if (nextTickPresent) {
+        timers.nextTick = _global.process.nextTick;
+    }
+
+    if (performancePresent) {
+        timers.performance = _global.performance;
+    }
+
+    if (requestAnimationFramePresent) {
+        timers.requestAnimationFrame = _global.requestAnimationFrame;
+    }
+
+    if (queueMicrotaskPresent) {
+        timers.queueMicrotask = true;
+    }
+
+    if (cancelAnimationFramePresent) {
+        timers.cancelAnimationFrame = _global.cancelAnimationFrame;
+    }
+
+    if (requestIdleCallbackPresent) {
+        timers.requestIdleCallback = _global.requestIdleCallback;
+    }
+
+    if (cancelIdleCallbackPresent) {
+        timers.cancelIdleCallback = _global.cancelIdleCallback;
+    }
+
+    var keys =
+        Object.keys ||
+        function(obj) {
+            var ks = [];
+            var key;
+
+            for (key in obj) {
+                if (obj.hasOwnProperty(key)) {
+                    ks.push(key);
+                }
+            }
+
+            return ks;
+        };
+
+    var originalSetTimeout = _global.setImmediate || _global.setTimeout;
+
+    /**
+     * @param start {Date|number} the system time - non-integer values are floored
+     * @param loopLimit {number}  maximum number of timers that will be run when calling runAll()
+     */
+    function createClock(start, loopLimit) {
+        // eslint-disable-next-line no-param-reassign
+        start = Math.floor(getEpoch(start));
+        // eslint-disable-next-line no-param-reassign
+        loopLimit = loopLimit || 1000;
+        var nanos = 0;
+        var adjustedSystemTime = [0, 0]; // [millis, nanoremainder]
+
+        if (NativeDate === undefined) {
+            throw new Error(
+                "The global scope doesn't have a `Date` object" +
+                    " (see https://github.com/sinonjs/sinon/issues/1852#issuecomment-419622780)"
+            );
+        }
+
+        var clock = {
+            now: start,
+            timeouts: {},
+            Date: createDate(),
+            loopLimit: loopLimit
+        };
+
+        clock.Date.clock = clock;
+
+        function getTimeToNextFrame() {
+            return 16 - ((clock.now - start) % 16);
+        }
+
+        function hrtime(prev) {
+            var millisSinceStart = clock.now - adjustedSystemTime[0] - start;
+            var secsSinceStart = Math.floor(millisSinceStart / 1000);
+            var remainderInNanos =
+                (millisSinceStart - secsSinceStart * 1e3) * 1e6 +
+                nanos -
+                adjustedSystemTime[1];
+
+            if (Array.isArray(prev)) {
+                if (prev[1] > 1e9) {
+                    throw new TypeError(
+                        "Number of nanoseconds can't exceed a billion"
+                    );
+                }
+
+                var oldSecs = prev[0];
+                var nanoDiff = remainderInNanos - prev[1];
+                var secDiff = secsSinceStart - oldSecs;
+
+                if (nanoDiff < 0) {
+                    nanoDiff += 1e9;
+                    secDiff -= 1;
+                }
+
+                return [secDiff, nanoDiff];
+            }
+            return [secsSinceStart, remainderInNanos];
+        }
+
+        if (hrtimeBigintPresent) {
+            hrtime.bigint = function() {
+                var parts = hrtime();
+                return BigInt(parts[0]) * BigInt(1e9) + BigInt(parts[1]); // eslint-disable-line
+            };
+        }
+
+        clock.requestIdleCallback = function requestIdleCallback(
+            func,
+            timeout
+        ) {
+            var timeToNextIdlePeriod = 0;
+
+            if (clock.countTimers() > 0) {
+                timeToNextIdlePeriod = 50; // const for now
+            }
+
+            var result = addTimer(clock, {
+                func: func,
+                args: Array.prototype.slice.call(arguments, 2),
+                delay:
+                    typeof timeout === "undefined"
+                        ? timeToNextIdlePeriod
+                        : Math.min(timeout, timeToNextIdlePeriod)
+            });
+
+            return result.id || result;
+        };
+
+        clock.cancelIdleCallback = function cancelIdleCallback(timerId) {
+            return clearTimer(clock, timerId, "Timeout");
+        };
+
+        clock.setTimeout = function setTimeout(func, timeout) {
+            return addTimer(clock, {
+                func: func,
+                args: Array.prototype.slice.call(arguments, 2),
+                delay: timeout
+            });
+        };
+        if (typeof _global.Promise !== "undefined" && utilPromisify) {
+            clock.setTimeout[
+                utilPromisify.custom
+            ] = function promisifiedSetTimeout(timeout, arg) {
+                return new _global.Promise(function setTimeoutExecutor(
+                    resolve
+                ) {
+                    addTimer(clock, {
+                        func: resolve,
+                        args: [arg],
+                        delay: timeout
+                    });
+                });
+            };
+        }
+
+        clock.clearTimeout = function clearTimeout(timerId) {
+            return clearTimer(clock, timerId, "Timeout");
+        };
+
+        clock.nextTick = function nextTick(func) {
+            return enqueueJob(clock, {
+                func: func,
+                args: Array.prototype.slice.call(arguments, 1)
+            });
+        };
+
+        clock.queueMicrotask = function queueMicrotask(func) {
+            return clock.nextTick(func); // explicitly drop additional arguments
+        };
+
+        clock.setInterval = function setInterval(func, timeout) {
+            // eslint-disable-next-line no-param-reassign
+            timeout = parseInt(timeout, 10);
+            return addTimer(clock, {
+                func: func,
+                args: Array.prototype.slice.call(arguments, 2),
+                delay: timeout,
+                interval: timeout
+            });
+        };
+
+        clock.clearInterval = function clearInterval(timerId) {
+            return clearTimer(clock, timerId, "Interval");
+        };
+
+        if (setImmediatePresent) {
+            clock.setImmediate = function setImmediate(func) {
+                return addTimer(clock, {
+                    func: func,
+                    args: Array.prototype.slice.call(arguments, 1),
+                    immediate: true
+                });
+            };
+
+            if (typeof _global.Promise !== "undefined" && utilPromisify) {
+                clock.setImmediate[
+                    utilPromisify.custom
+                ] = function promisifiedSetImmediate(arg) {
+                    return new _global.Promise(function setImmediateExecutor(
+                        resolve
+                    ) {
+                        addTimer(clock, {
+                            func: resolve,
+                            args: [arg],
+                            immediate: true
+                        });
+                    });
+                };
+            }
+
+            clock.clearImmediate = function clearImmediate(timerId) {
+                return clearTimer(clock, timerId, "Immediate");
+            };
+        }
+
+        clock.countTimers = function countTimers() {
+            return (
+                Object.keys(clock.timers || {}).length +
+                (clock.jobs || []).length
+            );
+        };
+
+        clock.requestAnimationFrame = function requestAnimationFrame(func) {
+            var result = addTimer(clock, {
+                func: func,
+                delay: getTimeToNextFrame(),
+                args: [clock.now + getTimeToNextFrame()],
+                animation: true
+            });
+
+            return result.id || result;
+        };
+
+        clock.cancelAnimationFrame = function cancelAnimationFrame(timerId) {
+            return clearTimer(clock, timerId, "AnimationFrame");
+        };
+
+        clock.runMicrotasks = function runMicrotasks() {
+            runJobs(clock);
+        };
+
+        function doTick(tickValue, isAsync, resolve, reject) {
+            var msFloat =
+                typeof tickValue === "number"
+                    ? tickValue
+                    : parseTime(tickValue);
+            var ms = Math.floor(msFloat);
+            var remainder = nanoRemainder(msFloat);
+            var nanosTotal = nanos + remainder;
+            var tickTo = clock.now + ms;
+
+            if (msFloat < 0) {
+                throw new TypeError("Negative ticks are not supported");
+            }
+
+            // adjust for positive overflow
+            if (nanosTotal >= 1e6) {
+                tickTo += 1;
+                nanosTotal -= 1e6;
+            }
+
+            nanos = nanosTotal;
+            var tickFrom = clock.now;
+            var previous = clock.now;
+            var timer,
+                firstException,
+                oldNow,
+                nextPromiseTick,
+                compensationCheck,
+                postTimerCall;
+
+            clock.duringTick = true;
+
+            // perform microtasks
+            oldNow = clock.now;
+            runJobs(clock);
+            if (oldNow !== clock.now) {
+                // compensate for any setSystemTime() call during microtask callback
+                tickFrom += clock.now - oldNow;
+                tickTo += clock.now - oldNow;
+            }
+
+            function doTickInner() {
+                // perform each timer in the requested range
+                timer = firstTimerInRange(clock, tickFrom, tickTo);
+                // eslint-disable-next-line no-unmodified-loop-condition
+                while (timer && tickFrom <= tickTo) {
+                    if (clock.timers[timer.id]) {
+                        tickFrom = timer.callAt;
+                        clock.now = timer.callAt;
+                        oldNow = clock.now;
+                        try {
+                            runJobs(clock);
+                            callTimer(clock, timer);
+                        } catch (e) {
+                            firstException = firstException || e;
+                        }
+
+                        if (isAsync) {
+                            // finish up after native setImmediate callback to allow
+                            // all native es6 promises to process their callbacks after
+                            // each timer fires.
+                            originalSetTimeout(nextPromiseTick);
+                            return;
+                        }
+
+                        compensationCheck();
+                    }
+
+                    postTimerCall();
+                }
+
+                // perform process.nextTick()s again
+                oldNow = clock.now;
+                runJobs(clock);
+                if (oldNow !== clock.now) {
+                    // compensate for any setSystemTime() call during process.nextTick() callback
+                    tickFrom += clock.now - oldNow;
+                    tickTo += clock.now - oldNow;
+                }
+                clock.duringTick = false;
+
+                // corner case: during runJobs new timers were scheduled which could be in the range [clock.now, tickTo]
+                timer = firstTimerInRange(clock, tickFrom, tickTo);
+                if (timer) {
+                    try {
+                        clock.tick(tickTo - clock.now); // do it all again - for the remainder of the requested range
+                    } catch (e) {
+                        firstException = firstException || e;
+                    }
+                } else {
+                    // no timers remaining in the requested range: move the clock all the way to the end
+                    clock.now = tickTo;
+
+                    // update nanos
+                    nanos = nanosTotal;
+                }
+                if (firstException) {
+                    throw firstException;
+                }
+
+                if (isAsync) {
+                    resolve(clock.now);
+                } else {
+                    return clock.now;
+                }
+            }
+
+            nextPromiseTick =
+                isAsync &&
+                function() {
+                    try {
+                        compensationCheck();
+                        postTimerCall();
+                        doTickInner();
+                    } catch (e) {
+                        reject(e);
+                    }
+                };
+
+            compensationCheck = function() {
+                // compensate for any setSystemTime() call during timer callback
+                if (oldNow !== clock.now) {
+                    tickFrom += clock.now - oldNow;
+                    tickTo += clock.now - oldNow;
+                    previous += clock.now - oldNow;
+                }
+            };
+
+            postTimerCall = function() {
+                timer = firstTimerInRange(clock, previous, tickTo);
+                previous = tickFrom;
+            };
+
+            return doTickInner();
+        }
+
+        /**
+         * @param {tickValue} {String|Number} number of milliseconds or a human-readable value like "01:11:15"
+         */
+        clock.tick = function tick(tickValue) {
+            return doTick(tickValue, false);
+        };
+
+        if (typeof _global.Promise !== "undefined") {
+            clock.tickAsync = function tickAsync(ms) {
+                return new _global.Promise(function(resolve, reject) {
+                    originalSetTimeout(function() {
+                        try {
+                            doTick(ms, true, resolve, reject);
+                        } catch (e) {
+                            reject(e);
+                        }
+                    });
+                });
+            };
+        }
+
+        clock.next = function next() {
+            runJobs(clock);
+            var timer = firstTimer(clock);
+            if (!timer) {
+                return clock.now;
+            }
+
+            clock.duringTick = true;
+            try {
+                clock.now = timer.callAt;
+                callTimer(clock, timer);
+                runJobs(clock);
+                return clock.now;
+            } finally {
+                clock.duringTick = false;
+            }
+        };
+
+        if (typeof _global.Promise !== "undefined") {
+            clock.nextAsync = function nextAsync() {
+                return new _global.Promise(function(resolve, reject) {
+                    originalSetTimeout(function() {
+                        try {
+                            var timer = firstTimer(clock);
+                            if (!timer) {
+                                resolve(clock.now);
+                                return;
+                            }
+
+                            var err;
+                            clock.duringTick = true;
+                            clock.now = timer.callAt;
+                            try {
+                                callTimer(clock, timer);
+                            } catch (e) {
+                                err = e;
+                            }
+                            clock.duringTick = false;
+
+                            originalSetTimeout(function() {
+                                if (err) {
+                                    reject(err);
+                                } else {
+                                    resolve(clock.now);
+                                }
+                            });
+                        } catch (e) {
+                            reject(e);
+                        }
+                    });
+                });
+            };
+        }
+
+        clock.runAll = function runAll() {
+            var numTimers, i;
+            runJobs(clock);
+            for (i = 0; i < clock.loopLimit; i++) {
+                if (!clock.timers) {
+                    return clock.now;
+                }
+
+                numTimers = keys(clock.timers).length;
+                if (numTimers === 0) {
+                    return clock.now;
+                }
+
+                clock.next();
+            }
+
+            throw new Error(
+                "Aborting after running " +
+                    clock.loopLimit +
+                    " timers, assuming an infinite loop!"
+            );
+        };
+
+        clock.runToFrame = function runToFrame() {
+            return clock.tick(getTimeToNextFrame());
+        };
+
+        if (typeof _global.Promise !== "undefined") {
+            clock.runAllAsync = function runAllAsync() {
+                return new _global.Promise(function(resolve, reject) {
+                    var i = 0;
+                    function doRun() {
+                        originalSetTimeout(function() {
+                            try {
+                                var numTimers;
+                                if (i < clock.loopLimit) {
+                                    if (!clock.timers) {
+                                        resolve(clock.now);
+                                        return;
+                                    }
+
+                                    numTimers = Object.keys(clock.timers)
+                                        .length;
+                                    if (numTimers === 0) {
+                                        resolve(clock.now);
+                                        return;
+                                    }
+
+                                    clock.next();
+
+                                    i++;
+
+                                    doRun();
+                                    return;
+                                }
+
+                                reject(
+                                    new Error(
+                                        "Aborting after running " +
+                                            clock.loopLimit +
+                                            " timers, assuming an infinite loop!"
+                                    )
+                                );
+                            } catch (e) {
+                                reject(e);
+                            }
+                        });
+                    }
+                    doRun();
+                });
+            };
+        }
+
+        clock.runToLast = function runToLast() {
+            var timer = lastTimer(clock);
+            if (!timer) {
+                runJobs(clock);
+                return clock.now;
+            }
+
+            return clock.tick(timer.callAt - clock.now);
+        };
+
+        if (typeof _global.Promise !== "undefined") {
+            clock.runToLastAsync = function runToLastAsync() {
+                return new _global.Promise(function(resolve, reject) {
+                    originalSetTimeout(function() {
+                        try {
+                            var timer = lastTimer(clock);
+                            if (!timer) {
+                                resolve(clock.now);
+                            }
+
+                            resolve(clock.tickAsync(timer.callAt));
+                        } catch (e) {
+                            reject(e);
+                        }
+                    });
+                });
+            };
+        }
+
+        clock.reset = function reset() {
+            nanos = 0;
+            clock.timers = {};
+            clock.jobs = [];
+            clock.now = start;
+        };
+
+        clock.setSystemTime = function setSystemTime(systemTime) {
+            // determine time difference
+            var newNow = getEpoch(systemTime);
+            var difference = newNow - clock.now;
+            var id, timer;
+
+            adjustedSystemTime[0] = adjustedSystemTime[0] + difference;
+            adjustedSystemTime[1] = adjustedSystemTime[1] + nanos;
+            // update 'system clock'
+            clock.now = newNow;
+            nanos = 0;
+
+            // update timers and intervals to keep them stable
+            for (id in clock.timers) {
+                if (clock.timers.hasOwnProperty(id)) {
+                    timer = clock.timers[id];
+                    timer.createdAt += difference;
+                    timer.callAt += difference;
+                }
+            }
+        };
+
+        if (performancePresent) {
+            clock.performance = Object.create(null);
+
+            if (hasPerformancePrototype) {
+                var proto = _global.Performance.prototype;
+
+                Object.getOwnPropertyNames(proto).forEach(function(name) {
+                    if (name.indexOf("getEntries") === 0) {
+                        // match expected return type for getEntries functions
+                        clock.performance[name] = NOOP_ARRAY;
+                    } else {
+                        clock.performance[name] = NOOP;
+                    }
+                });
+            }
+
+            clock.performance.now = function FakeTimersNow() {
+                var hrt = hrtime();
+                var millis = hrt[0] * 1000 + hrt[1] / 1e6;
+                return millis;
+            };
+        }
+
+        if (hrtimePresent) {
+            clock.hrtime = hrtime;
+        }
+
+        return clock;
+    }
+
+    /**
+     * @param config {Object} optional config
+     * @param config.target {Object} the target to install timers in (default `window`)
+     * @param config.now {number|Date}  a number (in milliseconds) or a Date object (default epoch)
+     * @param config.toFake {string[]} names of the methods that should be faked.
+     * @param config.loopLimit {number} the maximum number of timers that will be run when calling runAll()
+     * @param config.shouldAdvanceTime {Boolean} tells FakeTimers to increment mocked time automatically (default false)
+     * @param config.advanceTimeDelta {Number} increment mocked time every <<advanceTimeDelta>> ms (default: 20ms)
+     */
+    // eslint-disable-next-line complexity
+    function install(config) {
+        if (
+            arguments.length > 1 ||
+            config instanceof Date ||
+            Array.isArray(config) ||
+            typeof config === "number"
+        ) {
+            throw new TypeError(
+                "FakeTimers.install called with " +
+                    String(config) +
+                    " install requires an object parameter"
+            );
+        }
+
+        // eslint-disable-next-line no-param-reassign
+        config = typeof config !== "undefined" ? config : {};
+        config.shouldAdvanceTime = config.shouldAdvanceTime || false;
+        config.advanceTimeDelta = config.advanceTimeDelta || 20;
+
+        var i, l;
+        var target = config.target || _global;
+        var clock = createClock(config.now, config.loopLimit);
+
+        clock.uninstall = function() {
+            return uninstall(clock, target, config);
+        };
+
+        clock.methods = config.toFake || [];
+
+        if (clock.methods.length === 0) {
+            // do not fake nextTick by default - GitHub#126
+            clock.methods = keys(timers).filter(function(key) {
+                return key !== "nextTick" && key !== "queueMicrotask";
+            });
+        }
+
+        for (i = 0, l = clock.methods.length; i < l; i++) {
+            if (clock.methods[i] === "hrtime") {
+                if (
+                    target.process &&
+                    typeof target.process.hrtime === "function"
+                ) {
+                    hijackMethod(target.process, clock.methods[i], clock);
+                }
+            } else if (clock.methods[i] === "nextTick") {
+                if (
+                    target.process &&
+                    typeof target.process.nextTick === "function"
+                ) {
+                    hijackMethod(target.process, clock.methods[i], clock);
+                }
+            } else {
+                if (
+                    clock.methods[i] === "setInterval" &&
+                    config.shouldAdvanceTime === true
+                ) {
+                    var intervalTick = doIntervalTick.bind(
+                        null,
+                        clock,
+                        config.advanceTimeDelta
+                    );
+                    var intervalId = target[clock.methods[i]](
+                        intervalTick,
+                        config.advanceTimeDelta
+                    );
+                    clock.attachedInterval = intervalId;
+                }
+                hijackMethod(target, clock.methods[i], clock);
+            }
+        }
+
+        return clock;
+    }
+
+    return {
+        timers: timers,
+        createClock: createClock,
+        install: install,
+        withGlobal: withGlobal
+    };
+}
+
+var defaultImplementation = withGlobal(globalObject);
+
+exports.timers = defaultImplementation.timers;
+exports.createClock = defaultImplementation.createClock;
+exports.install = defaultImplementation.install;
+exports.withGlobal = withGlobal;
diff --git a/node_modules/@tensorflow-models/toxicity/package.json b/node_modules/@tensorflow-models/toxicity/package.json
index b1dfc39b6..07661ef26 100644
--- a/node_modules/@tensorflow-models/toxicity/package.json
+++ b/node_modules/@tensorflow-models/toxicity/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@tensorflow-models/toxicity@1.2.2",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_from": "@tensorflow-models/toxicity@1.2.2",
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@tensorflow-models/toxicity/-/toxicity-1.2.2.tgz",
   "_spec": "1.2.2",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/tensorflow/tfjs-models/issues"
   },
diff --git a/node_modules/@tensorflow-models/universal-sentence-encoder/package.json b/node_modules/@tensorflow-models/universal-sentence-encoder/package.json
index 36d80206c..ea12b2f7a 100644
--- a/node_modules/@tensorflow-models/universal-sentence-encoder/package.json
+++ b/node_modules/@tensorflow-models/universal-sentence-encoder/package.json
@@ -2,7 +2,7 @@
   "_args": [
     [
       "@tensorflow-models/universal-sentence-encoder@1.2.2",
-      "/Users/tianhaozhou/Desktop/proj/readable-readme"
+      "/workspace/readable-readme"
     ]
   ],
   "_from": "@tensorflow-models/universal-sentence-encoder@1.2.2",
@@ -27,7 +27,7 @@
   ],
   "_resolved": "https://registry.npmjs.org/@tensorflow-models/universal-sentence-encoder/-/universal-sentence-encoder-1.2.2.tgz",
   "_spec": "1.2.2",
-  "_where": "/Users/tianhaozhou/Desktop/proj/readable-readme",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/tensorflow/tfjs-models/issues"
   },
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/miniprogram/index.js b/node_modules/@tensorflow/tfjs-converter/dist/miniprogram/index.js
index ef69db913..7d8fb1bed 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/miniprogram/index.js
+++ b/node_modules/@tensorflow/tfjs-converter/dist/miniprogram/index.js
@@ -14,5 +14,5 @@
  * limitations under the License.
  * =============================================================================
  */
-!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports,require("@tensorflow/tfjs-core")):"function"==typeof define&&define.amd?define(["exports","@tensorflow/tfjs-core"],t):t(e.tf=e.tf||{},e.tf)}(this,function(e,t){"use strict";var a,r,n=function(){return(n=Object.assign||function(e){for(var t,a=1,r=arguments.length;a<r;a++)for(var n in t=arguments[a])Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e}).apply(this,arguments)};function s(e,t,a,r){return new(a||(a=Promise))(function(n,s){function o(e){try{i(r.next(e))}catch(e){s(e)}}function p(e){try{i(r.throw(e))}catch(e){s(e)}}function i(e){e.done?n(e.value):new a(function(t){t(e.value)}).then(o,p)}i((r=r.apply(e,t||[])).next())})}function o(e,t){var a,r,n,s,o={label:0,sent:function(){if(1&n[0])throw n[1];return n[1]},trys:[],ops:[]};return s={next:p(0),throw:p(1),return:p(2)},"function"==typeof Symbol&&(s[Symbol.iterator]=function(){return this}),s;function p(s){return function(p){return function(s){if(a)throw new TypeError("Generator is already executing.");for(;o;)try{if(a=1,r&&(n=2&s[0]?r.return:s[0]?r.throw||((n=r.return)&&n.call(r),0):r.next)&&!(n=n.call(r,s[1])).done)return n;switch(r=0,n&&(s=[2&s[0],n.value]),s[0]){case 0:case 1:n=s;break;case 4:return o.label++,{value:s[1],done:!1};case 5:o.label++,r=s[1],s=[0];continue;case 7:s=o.ops.pop(),o.trys.pop();continue;default:if(!(n=(n=o.trys).length>0&&n[n.length-1])&&(6===s[0]||2===s[0])){o=0;continue}if(3===s[0]&&(!n||s[1]>n[0]&&s[1]<n[3])){o.label=s[1];break}if(6===s[0]&&o.label<n[1]){o.label=n[1],n=s;break}if(n&&o.label<n[2]){o.label=n[2],o.ops.push(s);break}n[2]&&o.ops.pop(),o.trys.pop();continue}s=t.call(e,o)}catch(e){s=[6,e],r=0}finally{a=n=0}if(5&s[0])throw s[1];return{value:s[0]?s[1]:void 0,done:!0}}([s,p])}}}!function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF"}(a||(a={})),function(e){!function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"}(e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))}(r||(r={}));var 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t},e}(),H=function(e,a,r){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[t.add(u("a",e,a,r),u("b",e,a,r))];case"AddN":return[t.addN(u("tensors",e,a,r))];case"FloorMod":case"Mod":return[t.mod(u("a",e,a,r),u("b",e,a,r))];case"Mul":return[t.mul(u("a",e,a,r),u("b",e,a,r))];case"RealDiv":case"Div":return[t.div(u("a",e,a,r),u("b",e,a,r))];case"DivNoNan":return[t.divNoNan(u("a",e,a,r),u("b",e,a,r))];case"FloorDiv":return[t.floorDiv(u("a",e,a,r),u("b",e,a,r))];case"Sub":return[t.sub(u("a",e,a,r),u("b",e,a,r))];case"Minimum":return[t.minimum(u("a",e,a,r),u("b",e,a,r))];case"Maximum":return[t.maximum(u("a",e,a,r),u("b",e,a,r))];case"Pow":return[t.pow(u("a",e,a,r),u("b",e,a,r))];case"SquaredDifference":return[t.squaredDifference(u("a",e,a,r),u("b",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},Q=function(e,a,r){switch(e.op){case"Abs":case"ComplexAbs":return[t.abs(u("x",e,a,r))];case"Acos":return[t.acos(u("x",e,a,r))];case"Acosh":return[t.acosh(u("x",e,a,r))];case"Asin":return[t.asin(u("x",e,a,r))];case"Asinh":return[t.asinh(u("x",e,a,r))];case"Atan":return[t.atan(u("x",e,a,r))];case"Atan2":return[t.atan2(u("x",e,a,r),u("y",e,a,r))];case"Atanh":return[t.atanh(u("x",e,a,r))];case"Ceil":return[t.ceil(u("x",e,a,r))];case"Complex":return[t.complex(u("real",e,a,r),u("imag",e,a,r))];case"Cos":return[t.cos(u("x",e,a,r))];case"Cosh":return[t.cosh(u("x",e,a,r))];case"Elu":return[t.elu(u("x",e,a,r))];case"Erf":return[t.erf(u("x",e,a,r))];case"Exp":return[t.exp(u("x",e,a,r))];case"Expm1":return[t.expm1(u("x",e,a,r))];case"Floor":return[t.floor(u("x",e,a,r))];case"Log":return[t.log(u("x",e,a,r))];case"Log1p":return[t.log1p(u("x",e,a,r))];case"Imag":return[t.imag(u("x",e,a,r))];case"Neg":return[t.neg(u("x",e,a,r))];case"Reciprocal":return[t.reciprocal(u("x",e,a,r))];case"Real":return[t.real(u("x",e,a,r))];case"Relu":return[t.relu(u("x",e,a,r))];case"Round":return[t.round(u("x",e,a,r))];case"Selu":return[t.selu(u("x",e,a,r))];case"Sigmoid":return[t.sigmoid(u("x",e,a,r))];case"Sin":return[t.sin(u("x",e,a,r))];case"Sign":return[t.sign(u("x",e,a,r))];case"Sinh":return[t.sinh(u("x",e,a,r))];case"Softplus":return[t.softplus(u("x",e,a,r))];case"Sqrt":return[t.sqrt(u("x",e,a,r))];case"Square":return[t.square(u("x",e,a,r))];case"Tanh":return[t.tanh(u("x",e,a,r))];case"Tan":return[t.tan(u("x",e,a,r))];case"Relu6":case"ClipByValue":return[t.clipByValue(u("x",e,a,r),u("clipValueMin",e,a,r),u("clipValueMax",e,a,r))];case"Rsqrt":return[t.rsqrt(m(e.inputNames[0],a,r))];case"Prod":return[t.prod(u("x",e,a,r),u("axes",e,a,r))];case"LeakyRelu":return[t.leakyRelu(u("x",e,a,r),u("alpha",e,a,r))];case"Prelu":return[t.prelu(u("x",e,a,r),u("alpha",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},K=function(){function e(t,a,r,n,s,o,p){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=o,this.clearAfterRead=p,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.tensors.length)throw new Error("Tried to read from index "+e+", but array size is: "+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),a&&a.read)throw new Error("TensorArray "+this.name+": Could not write to 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Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return t.tensor([],[0].concat(this.elementShape));for(var a=[],r=0;r<this.size();r++)a.push(r);var n=this.readMany(a);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,n[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+n[0].shape+")"),t.concat(n,0)},e.prototype.scatter=function(e,a){if(a.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+a.dtype);if(e.length!==a.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+a.shape[0]);var r=Math.max.apply(Math,e);if(!this.dynamicSize&&r>=this.maxSize)throw new Error("Max index must be < array size ("+r+"  vs. "+this.maxSize+")");this.writeMany(e,t.unstack(a,0))},e.prototype.split=function(e,a){var r=this;if(a.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+a.dtype);var n=0,s=e.map(function(e){return n+=e});if(n!==a.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+n+", and tensor's shape is: "+a.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var o=0===n?0:a.size/n,p=[];t.tidy(function(){a=a.reshape([1,n,o]);for(var i=0;i<e.length;++i){var u=[0,0===i?0:s[i-1],0],m=[1,e[i],o];p[i]=t.slice(a,u,m).reshape(r.elementShape)}return p});for(var i=[],u=0;u<e.length;u++)i[u]=u;this.writeMany(i,p)},e.prototype.assertShapesMatchAllowUndefinedSize=function(e,a,r){void 0===r&&(r=""),t.util.assert(this.shapesEqualAllowUndefinedSize(e,a),function(){return r+" Shapes "+e+" and "+a+" must match"})},e.prototype.shapesEqualAllowUndefinedSize=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}(),X=function(e,a,r){return s(void 0,void 0,void 0,function(){var n,s,p,i,c,d,y,f,l,h,N,g,b,x,v,T,O,S,_,w,A,D,E,I,V,k,M,C,z,F,j,P,R,L,B;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[u("pred",e,a,r).clone()]];case 2:return n=u("pred",e,a,r),s=u("data",e,a,r),[4,n.data()];case 3:return[2,o.sent()[0]?[void 0,s.clone()]:[s.clone(),void 0]];case 4:return[2,(p=e.inputNames.find(function(e){return void 0!==m(e,a,r)}))?[m(p,a,r).clone()]:void 0];case 5:return i=u("frameName",e,a,r),c=u("tensor",e,a,r),r.enterFrame(i),[2,[c.clone()]];case 6:return d=u("tensor",e,a,r),r.exitFrame(),[2,[d.clone()]];case 7:return y=u("tensor",e,a,r),r.nextIteration(),[2,[y.clone()]];case 8:return f=u("size",e,a,r),l=u("dtype",e,a,r),h=u("elementShape",e,a,r),N=u("dynamicSize",e,a,r),g=u("clearAfterRead",e,a,r),b=u("identicalElementShapes",e,a,r),x=u("name",e,a,r),v=new K(x,l,f,h,b,N,g),r.addTensorArray(v),[2,[t.scalar(v.id),t.scalar(1)]];case 9:return T=u("tensorArrayId",e,a,r),O=u("index",e,a,r),S=u("tensor",e,a,r),r.getTensorArray(T).write(O,S),[2,[t.scalar(1)]];case 10:return _=u("tensorArrayId",e,a,r),w=u("index",e,a,r),[2,[r.getTensorArray(_).read(w)]];case 11:return A=u("tensorArrayId",e,a,r),D=u("indices",e,a,r),E=u("dtype",e,a,r),[2,[r.getTensorArray(A).gather(D,E)]];case 12:return I=u("tensorArrayId",e,a,r),V=u("indices",e,a,r),k=u("tensor",e,a,r),r.getTensorArray(I).scatter(V,k),[2,[t.scalar(1)]];case 13:return M=u("tensorArrayId",e,a,r),C=r.getTensorArray(M),z=u("dtype",e,a,r),[2,[C.concat(z)]];case 14:return F=u("tensorArrayId",e,a,r),j=u("tensor",e,a,r),P=u("lengths",e,a,r),r.getTensorArray(F).split(P,j),[2,[t.scalar(1)]];case 15:return R=u("tensorArrayId",e,a,r),L=r.getTensorArray(R),[2,[t.scalar(L.size(),"int32")]];case 16:return B=u("tensorArrayId",e,a,r),r.getTensorArray(B).clearAndClose(),[2,[t.scalar(0)]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})},Z=function(e,a,r){switch(e.op){case"Conv1D":var n=u("stride",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),p=u("dilation",e,a,r);return[t.conv1d(u("x",e,a,r),u("filter",e,a,r),n,s,o,p)];case"Conv2D":n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase();var i=u("dilations",e,a,r);return[t.conv2d(u("x",e,a,r),u("filter",e,a,r),[n[1],n[2]],s,o,[i[1],i[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var m=u("fusedOps",e,a,r),c=m[0],d=m[1],y="biasadd"===c,f="prelu"===d,l="fusedbatchnorm"===c,h=u("numArgs",e,a,r);if(y){if(f&&2!==h)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!f&&1!==h)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),i=u("dilations",e,a,r);var N=u("args",e,a,r),g=N[0],b=N[1];return[("_FusedConv2D"===e.op?t.fused.conv2d:t.fused.depthwiseConv2d)({x:u("x",e,a,r),filter:u("filter",e,a,r),strides:[n[1],n[2]],pad:s,dataFormat:o,dilations:[i[1],i[2]],bias:g,activation:d,preluActivationWeights:b})];case"Conv2DBackpropInput":case"Conv2dTranspose":var x=u("outputShape",e,a,r);n=u("strides",e,a,r),s=u("pad",e,a,r);return[t.conv2dTranspose(u("x",e,a,r),u("filter",e,a,r),x,[n[1],n[2]],s)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":n=u("strides",e,a,r),s=u("pad",e,a,r),i=u("dilations",e,a,r),o=u("dataFormat",e,a,r).toUpperCase();return[t.depthwiseConv2d(u("input",e,a,r),u("filter",e,a,r),[n[1],n[2]],s,o,[i[1],i[2]])];case"Conv3D":n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),i=u("dilations",e,a,r);return[t.conv3d(u("x",e,a,r),u("filter",e,a,r),[n[1],n[2],n[3]],s,o,[i[1],i[2],i[3]])];case"AvgPool":n=u("strides",e,a,r),s=u("pad",e,a,r);var v=u("kernelSize",e,a,r);return[t.avgPool(u("x",e,a,r),[v[1],v[2]],[n[1],n[2]],s)];case"MaxPool":n=u("strides",e,a,r),s=u("pad",e,a,r),v=u("kernelSize",e,a,r);return[t.maxPool(u("x",e,a,r),[v[1],v[2]],[n[1],n[2]],s)];case"MaxPoolWithArgmax":n=u("strides",e,a,r),s=u("pad",e,a,r),v=u("kernelSize",e,a,r);var T=u("includeBatchInIndex",e,a,r),O=t.maxPoolWithArgmax(u("x",e,a,r),[v[1],v[2]],[n[1],n[2]],s,T);return[O.result,O.indexes];case"AvgPool3D":n=u("strides",e,a,r),s=u("pad",e,a,r),v=u("kernelSize",e,a,r);return[t.avgPool3d(u("x",e,a,r),[v[1],v[2],v[3]],[n[1],n[2],n[3]],s)];case"MaxPool3D":n=u("strides",e,a,r),s=u("pad",e,a,r),v=u("kernelSize",e,a,r);return[t.maxPool3d(u("x",e,a,r),[v[1],v[2],v[3]],[n[1],n[2],n[3]],s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},Y=function(e,a,r){switch(e.op){case"Fill":var n=u("shape",e,a,r),s=u("dtype",e,a,r),o=u("value",e,a,r);return[t.fill(n,o,s)];case"LinSpace":var p=u("start",e,a,r),i=u("stop",e,a,r),m=u("num",e,a,r);return[t.linspace(p,i,m)];case"Multinomial":var c=u("logits",e,a,r),d=u("numSamples",e,a,r),y=u("seed",e,a,r);return[t.multinomial(c,d,y)];case"OneHot":var f=u("indices",e,a,r),l=u("depth",e,a,r),h=u("onValue",e,a,r),N=u("offValue",e,a,r);return[t.oneHot(f,l,h,N)];case"Ones":return[t.ones(u("shape",e,a,r),u("dtype",e,a,r))];case"OnesLike":return[t.onesLike(u("x",e,a,r))];case"RandomUniform":return[t.randomUniform(u("shape",e,a,r),u("minval",e,a,r),u("maxval",e,a,r),u("dtype",e,a,r))];case"Range":p=u("start",e,a,r);var g=u("stop",e,a,r),b=u("step",e,a,r);return[t.range(p,g,b,u("dtype",e,a,r))];case"TruncatedNormal":n=u("shape",e,a,r);var x=u("mean",e,a,r),v=u("stdDev",e,a,r);y=u("seed",e,a,r);return[t.truncatedNormal(n,x,v,u("dtype",e,a,r),y)];case"Zeros":return[t.zeros(u("shape",e,a,r),u("dtype",e,a,r))];case"ZerosLike":return[t.zerosLike(u("x",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},J=function(e,a,r){return s(void 0,void 0,void 0,function(){var n,s,p,i,m,c,d,y;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return n=u("boxes",e,a,r),s=u("scores",e,a,r),p=u("maxOutputSize",e,a,r),i=u("iouThreshold",e,a,r),m=u("scoreThreshold",e,a,r),"NonMaxSuppressionV5"!==e.op?[3,3]:(c=u("softNmsSigma",e,a,r),[4,t.image.nonMaxSuppressionWithScoreAsync(n,s,p,i,m,c)]);case 2:return[2,[(y=o.sent()).selectedIndices,y.selectedScores]];case 3:return[4,t.image.nonMaxSuppressionAsync(n,s,p,i,m)];case 4:return[2,[o.sent()]];case 5:return d=u("condition",e,a,r).asType("bool"),[4,t.whereAsync(d)];case 6:return y=[o.sent()],d.dispose(),[2,y];case 7:return[2,t.setdiff1dAsync(u("x",e,a,r),u("y",e,a,r))];case 8:throw TypeError("Node type "+e.op+" is not implemented")}})})},$=function(e,a,r){switch(e.op){case"TopKV2":var n=u("x",e,a,r),s=u("k",e,a,r),o=u("sorted",e,a,r),p=t.topk(n,s,o);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},ee=function(e,a,r){switch(e.op){case"Const":return a[e.name];case"PlaceholderWithDefault":var n=u("default",e,a,r);return[m(e.name,a,r)||n];case"Placeholder":return[m(e.name,a,r)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[u("x",e,a,r).clone()];case"IdentityN":return u("x",e,a,r).map(function(e){return e.clone()});case"Snapshot":return[u("x",e,a,r).clone()];case"Shape":return[t.tensor1d(u("x",e,a,r).shape,"int32")];case"ShapeN":return u("x",e,a,r).map(function(e){return t.tensor1d(e.shape)});case"Size":return[t.scalar(u("x",e,a,r).size,"int32")];case"Rank":return[t.scalar(u("x",e,a,r).rank,"int32")];case"NoOp":return[t.scalar(1)];case"Print":var s=u("x",e,a,r),o=u("data",e,a,r),p=u("message",e,a,r),i=u("summarize",e,a,r);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(p);for(var c=0;c<o.length;c++)console.log(Array.prototype.slice.call(o[c].dataSync()).slice(0,i));return[s];default:throw TypeError("Node type "+e.op+" is not implemented")}},te=function(e,a,r){switch(e.op){case"ResizeBilinear":var n=u("images",e,a,r),s=u("size",e,a,r),o=u("alignCorners",e,a,r);return[t.image.resizeBilinear(n,[s[0],s[1]],o)];case"ResizeNearestNeighbor":n=u("images",e,a,r),s=u("size",e,a,r),o=u("alignCorners",e,a,r);return[t.image.resizeNearestNeighbor(n,[s[0],s[1]],o)];case"CropAndResize":var p=u("image",e,a,r),i=u("boxes",e,a,r),m=u("boxInd",e,a,r),c=u("cropSize",e,a,r),d=u("method",e,a,r),y=u("extrapolationValue",e,a,r);return[t.image.cropAndResize(p,i,m,c,d,y)];default:throw TypeError("Node type "+e.op+" is not implemented")}},ae=function(e,a,r){switch(e.op){case"Equal":return[t.equal(u("a",e,a,r),u("b",e,a,r))];case"NotEqual":return[t.notEqual(u("a",e,a,r),u("b",e,a,r))];case"Greater":return[t.greater(u("a",e,a,r),u("b",e,a,r))];case"GreaterEqual":return[t.greaterEqual(u("a",e,a,r),u("b",e,a,r))];case"Less":return[t.less(u("a",e,a,r),u("b",e,a,r))];case"LessEqual":return[t.lessEqual(u("a",e,a,r),u("b",e,a,r))];case"LogicalAnd":return[t.logicalAnd(u("a",e,a,r),u("b",e,a,r))];case"LogicalNot":return[t.logicalNot(u("a",e,a,r))];case"LogicalOr":return[t.logicalOr(u("a",e,a,r),u("b",e,a,r))];case"Select":return[t.where(u("condition",e,a,r),u("a",e,a,r),u("b",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},re=function(e,a,r){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[t.matMul(u("a",e,a,r),u("b",e,a,r),u("transposeA",e,a,r),u("transposeB",e,a,r))];case"Transpose":return[t.transpose(u("x",e,a,r),u("perm",e,a,r))];case"_FusedMatMul":var n=u("fusedOps",e,a,r),s=n[0],o=n[1],p="biasadd"===s,i="prelu"===o,m=u("numArgs",e,a,r);if(p){if(i&&2!==m)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==m)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var c=u("args",e,a,r),d=c[0],y=c[1];return[t.fused.matMul({a:u("a",e,a,r),b:u("b",e,a,r),transposeA:u("transposeA",e,a,r),transposeB:u("transposeB",e,a,r),bias:d,activation:o,preluActivationWeights:y})];default:throw TypeError("Node type "+e.op+" is not implemented")}},ne=function(e,a,r){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[t.batchNorm(u("x",e,a,r),u("mean",e,a,r),u("variance",e,a,r),u("offset",e,a,r),u("scale",e,a,r),u("epsilon",e,a,r))];case"LRN":return[t.localResponseNormalization(u("x",e,a,r),u("radius",e,a,r),u("bias",e,a,r),u("alpha",e,a,r),u("beta",e,a,r))];case"Softmax":return[t.softmax(u("x",e,a,r))];case"LogSoftmax":return[t.logSoftmax(u("x",e,a,r))];case"SparseToDense":return[t.sparseToDense(u("sparseIndices",e,a,r),u("outputShape",e,a,r),u("sparseValues",e,a,r),u("defaultValue",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},se=function(e,a,r){switch(e.op){case"Max":var n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.max(u("x",e,a,r),n,s)];case"Mean":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.mean(u("x",e,a,r),n,s)];case"Min":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.min(u("x",e,a,r),n,s)];case"Sum":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.sum(u("x",e,a,r),n,s)];case"All":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.all(u("x",e,a,r),n,s)];case"Any":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.any(u("x",e,a,r),n,s)];case"ArgMax":n=u("axis",e,a,r);return[t.argMax(u("x",e,a,r),n)];case"ArgMin":n=u("axis",e,a,r);return[t.argMin(u("x",e,a,r),n)];case"Prod":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.prod(u("x",e,a,r),n,s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},oe=function(e,a,r){switch(e.op){case"ConcatV2":case"Concat":var n=u("n",e,a,r),s=u("axis",e,a,r),o=u("tensors",e,a,r);return o=o.slice(0,n),[t.concat(o,s)];case"GatherV2":case"Gather":s=u("axis",e,a,r);var p=u("x",e,a,r),i=u("indices",e,a,r);return[t.gather(p,i.asType("int32"),s)];case"ReverseV2":case"Reverse":s=u("axis",e,a,r),p=u("x",e,a,r);return[t.reverse(p,s)];case"Slice":var m=u("begin",e,a,r),c=u("size",e,a,r);return[t.slice(u("x",e,a,r),m,c)];case"StridedSlice":m=u("begin",e,a,r);var d=u("end",e,a,r),y=u("strides",e,a,r),f=u("beginMask",e,a,r),l=u("endMask",e,a,r),h=u("ellipsisMask",e,a,r),N=u("newAxisMask",e,a,r),g=u("shrinkAxisMask",e,a,r),b=u("x",e,a,r);if(1===m.length&&b.shape.length>1)for(var x=1;x<b.shape.length;x++)m.push(0),d.push(b.shape[x]),y.push(y[0]);return[t.stridedSlice(b,m,d,y,f,l,h,N,g)];case"Pack":return t.tidy(function(){var n=u("axis",e,a,r),s=u("tensors",e,a,r),o=s[0].shape,p=s[0].squeeze().shape,i=s.map(function(e){var a=t.util.arraysEqual(e.shape,o);if(!a&&!t.util.arraysEqual(e.squeeze().shape,p))throw new Error("the input tensors shape does not match");return a?e:e.reshape(o)});return[t.stack(i,n)]});case"Unpack":return t.tidy(function(){var n=u("axis",e,a,r),s=u("tensor",e,a,r);return t.unstack(s,n)});case"Tile":var v=u("reps",e,a,r);return[t.tile(u("x",e,a,r),v)];case"Split":case"SplitV":s=u("axis",e,a,r);var T=u("numOrSizeSplits",e,a,r);return t.split(u("x",e,a,r),T,s);case"ScatterNd":i=u("indices",e,a,r);var O=u("values",e,a,r),S=u("shape",e,a,r);return[t.scatterND(i,O,S)];case"GatherNd":var _=u("x",e,a,r);i=u("indices",e,a,r);return[t.gatherND(_,i)];case"SparseToDense":i=u("sparseIndices",e,a,r),S=u("outputShape",e,a,r);var w=u("sparseValues",e,a,r),A=u("defaultValue",e,a,r);return[t.sparseToDense(i,w,S,w.dtype===A.dtype?A:A.asType(w.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}},pe=function(e,a,r){switch(e.op){case"FFT":return[t.fft(u("x",e,a,r))];case"IFFT":return[t.ifft(u("x",e,a,r))];case"RFFT":return[t.rfft(u("x",e,a,r))];case"IRFFT":return[t.irfft(u("x",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},ie=function(e,a,r){switch(e.op){case"Cast":return[t.cast(u("x",e,a,r),u("dtype",e,a,r))];case"ExpandDims":var n=u("axis",e,a,r);return[t.expandDims(u("x",e,a,r),n)];case"Squeeze":n=u("axis",e,a,r);return[t.squeeze(u("x",e,a,r),n)];case"Reshape":return[t.reshape(u("x",e,a,r),u("shape",e,a,r))];case"PadV2":case"Pad":return[t.pad(u("x",e,a,r),f(u("padding",e,a,r),2),u("constantValue",e,a,r))];case"SpaceToBatchND":var s=u("blockShape",e,a,r),o=f(u("paddings",e,a,r),2);return[t.spaceToBatchND(u("x",e,a,r),s,o)];case"BatchToSpaceND":s=u("blockShape",e,a,r);var p=f(u("crops",e,a,r),2);return[t.batchToSpaceND(u("x",e,a,r),s,p)];case"DepthToSpace":var i=u("blockSize",e,a,r),m=u("dataFormat",e,a,r).toUpperCase();return[t.depthToSpace(u("x",e,a,r),i,m)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function ue(e,a,r){var n=function(e,a,r){switch(e.category){case"arithmetic":return t.tidy(function(){return H(e,a,r)});case"basic_math":return t.tidy(function(){return Q(e,a,r)});case"control":return X(e,a,r);case"convolution":return t.tidy(function(){return Z(e,a,r)});case"creation":return t.tidy(function(){return Y(e,a,r)});case"dynamic":return J(e,a,r);case"evaluation":return t.tidy(function(){return $(e,a,r)});case"image":return t.tidy(function(){return te(e,a,r)});case"graph":return t.tidy(function(){return ee(e,a,r)});case"logical":return t.tidy(function(){return ae(e,a,r)});case"matrices":return t.tidy(function(){return re(e,a,r)});case"normalization":return t.tidy(function(){return ne(e,a,r)});case"reduction":return t.tidy(function(){return se(e,a,r)});case"slice_join":return t.tidy(function(){return oe(e,a,r)});case"spectral":return t.tidy(function(){return pe(e,a,r)});case"transformation":return t.tidy(function(){return ie(e,a,r)});case"custom":var n=i(e.op);if(n&&n.customExecutor)return n.customExecutor(new W(e,a,r));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,a,r);return n instanceof Promise?n.then(function(e){return[].concat(e)}):[].concat(n)}var me=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}();function ce(e,t,a){for(var r=new Set,n=[],s=null,o=null,p=new Set,i=Object.keys(e).map(function(e){return y(e)[0]}),u=t.slice();u.length>0;){var m=u.pop();(fe(m)||le(m))&&null==s&&(o=(s=m).children.map(function(e){return e.name}).filter(function(e){return r.has(e)})),r.add(m.name),null==a[m.name]&&(-1===i.indexOf(m.name)&&(0!==m.inputs.length?m.inputs.forEach(function(e){p.has(e.name)||(p.add(e.name),u.push(e))}):n.push(m.name)))}return{inputs:e,outputs:t,usedNodes:r,missingInputs:n,dynamicNode:s,syncInputs:o}}var de=["Switch","Merge","Enter","Exit","NextIteration"],ye=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function fe(e){return de.indexOf(e.op)>=0}function le(e){return ye.indexOf(e.op)>=0}var he=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=e.outputs,this._inputs=e.inputs,this._signature=e.signature}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this._inputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this._inputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this._outputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var a=e.map(function(e){return e.name}).sort(),r=t.map(function(e){return e.name}).sort();return a.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.prototype.compile=function(e,t){var a=ce(e,t,this.weightMap),r=a.missingInputs,n=a.dynamicNode,s=a.syncInputs;if(null!=n)throw new Error("This execution contains the node '"+n.name+"', which has the dynamic op '"+n.op+"'. 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t},e}(),H=function(e,a,r){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[t.add(u("a",e,a,r),u("b",e,a,r))];case"AddN":return[t.addN(u("tensors",e,a,r))];case"FloorMod":case"Mod":return[t.mod(u("a",e,a,r),u("b",e,a,r))];case"Mul":return[t.mul(u("a",e,a,r),u("b",e,a,r))];case"RealDiv":case"Div":return[t.div(u("a",e,a,r),u("b",e,a,r))];case"DivNoNan":return[t.divNoNan(u("a",e,a,r),u("b",e,a,r))];case"FloorDiv":return[t.floorDiv(u("a",e,a,r),u("b",e,a,r))];case"Sub":return[t.sub(u("a",e,a,r),u("b",e,a,r))];case"Minimum":return[t.minimum(u("a",e,a,r),u("b",e,a,r))];case"Maximum":return[t.maximum(u("a",e,a,r),u("b",e,a,r))];case"Pow":return[t.pow(u("a",e,a,r),u("b",e,a,r))];case"SquaredDifference":return[t.squaredDifference(u("a",e,a,r),u("b",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},Q=function(e,a,r){switch(e.op){case"Abs":case"ComplexAbs":return[t.abs(u("x",e,a,r))];case"Acos":return[t.acos(u("x",e,a,r))];case"Acosh":return[t.acosh(u("x",e,a,r))];case"Asin":return[t.asin(u("x",e,a,r))];case"Asinh":return[t.asinh(u("x",e,a,r))];case"Atan":return[t.atan(u("x",e,a,r))];case"Atan2":return[t.atan2(u("x",e,a,r),u("y",e,a,r))];case"Atanh":return[t.atanh(u("x",e,a,r))];case"Ceil":return[t.ceil(u("x",e,a,r))];case"Complex":return[t.complex(u("real",e,a,r),u("imag",e,a,r))];case"Cos":return[t.cos(u("x",e,a,r))];case"Cosh":return[t.cosh(u("x",e,a,r))];case"Elu":return[t.elu(u("x",e,a,r))];case"Erf":return[t.erf(u("x",e,a,r))];case"Exp":return[t.exp(u("x",e,a,r))];case"Expm1":return[t.expm1(u("x",e,a,r))];case"Floor":return[t.floor(u("x",e,a,r))];case"Log":return[t.log(u("x",e,a,r))];case"Log1p":return[t.log1p(u("x",e,a,r))];case"Imag":return[t.imag(u("x",e,a,r))];case"Neg":return[t.neg(u("x",e,a,r))];case"Reciprocal":return[t.reciprocal(u("x",e,a,r))];case"Real":return[t.real(u("x",e,a,r))];case"Relu":return[t.relu(u("x",e,a,r))];case"Round":return[t.round(u("x",e,a,r))];case"Selu":return[t.selu(u("x",e,a,r))];case"Sigmoid":return[t.sigmoid(u("x",e,a,r))];case"Sin":return[t.sin(u("x",e,a,r))];case"Sign":return[t.sign(u("x",e,a,r))];case"Sinh":return[t.sinh(u("x",e,a,r))];case"Softplus":return[t.softplus(u("x",e,a,r))];case"Sqrt":return[t.sqrt(u("x",e,a,r))];case"Square":return[t.square(u("x",e,a,r))];case"Tanh":return[t.tanh(u("x",e,a,r))];case"Tan":return[t.tan(u("x",e,a,r))];case"Relu6":case"ClipByValue":return[t.clipByValue(u("x",e,a,r),u("clipValueMin",e,a,r),u("clipValueMax",e,a,r))];case"Rsqrt":return[t.rsqrt(m(e.inputNames[0],a,r))];case"Prod":return[t.prod(u("x",e,a,r),u("axes",e,a,r))];case"LeakyRelu":return[t.leakyRelu(u("x",e,a,r),u("alpha",e,a,r))];case"Prelu":return[t.prelu(u("x",e,a,r),u("alpha",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},K=function(){function e(t,a,r,n,s,o,p){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=o,this.clearAfterRead=p,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.tensors.length)throw new Error("Tried to read from index "+e+", but array size is: "+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),a&&a.read)throw new Error("TensorArray "+this.name+": Could not write to 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Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return t.tensor([],[0].concat(this.elementShape));for(var a=[],r=0;r<this.size();r++)a.push(r);var n=this.readMany(a);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,n[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+n[0].shape+")"),t.concat(n,0)},e.prototype.scatter=function(e,a){if(a.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+a.dtype);if(e.length!==a.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+a.shape[0]);var r=Math.max.apply(Math,e);if(!this.dynamicSize&&r>=this.maxSize)throw new Error("Max index must be < array size ("+r+"  vs. "+this.maxSize+")");this.writeMany(e,t.unstack(a,0))},e.prototype.split=function(e,a){var r=this;if(a.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+a.dtype);var n=0,s=e.map(function(e){return n+=e});if(n!==a.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+n+", and tensor's shape is: "+a.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var o=0===n?0:a.size/n,p=[];t.tidy(function(){a=a.reshape([1,n,o]);for(var i=0;i<e.length;++i){var u=[0,0===i?0:s[i-1],0],m=[1,e[i],o];p[i]=t.slice(a,u,m).reshape(r.elementShape)}return p});for(var i=[],u=0;u<e.length;u++)i[u]=u;this.writeMany(i,p)},e.prototype.assertShapesMatchAllowUndefinedSize=function(e,a,r){void 0===r&&(r=""),t.util.assert(this.shapesEqualAllowUndefinedSize(e,a),function(){return r+" Shapes "+e+" and "+a+" must match"})},e.prototype.shapesEqualAllowUndefinedSize=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}(),X=function(e,a,r){return s(void 0,void 0,void 0,function(){var n,s,p,i,c,d,y,f,l,h,N,g,b,x,T,v,O,S,_,w,A,D,E,I,V,k,M,C,z,F,j,P,R,L,B;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[u("pred",e,a,r).clone()]];case 2:return n=u("pred",e,a,r),s=u("data",e,a,r),[4,n.data()];case 3:return[2,o.sent()[0]?[void 0,s.clone()]:[s.clone(),void 0]];case 4:return[2,(p=e.inputNames.find(function(e){return void 0!==m(e,a,r)}))?[m(p,a,r).clone()]:void 0];case 5:return i=u("frameName",e,a,r),c=u("tensor",e,a,r),r.enterFrame(i),[2,[c.clone()]];case 6:return d=u("tensor",e,a,r),r.exitFrame(),[2,[d.clone()]];case 7:return y=u("tensor",e,a,r),r.nextIteration(),[2,[y.clone()]];case 8:return f=u("size",e,a,r),l=u("dtype",e,a,r),h=u("elementShape",e,a,r),N=u("dynamicSize",e,a,r),g=u("clearAfterRead",e,a,r),b=u("identicalElementShapes",e,a,r),x=u("name",e,a,r),T=new K(x,l,f,h,b,N,g),r.addTensorArray(T),[2,[t.scalar(T.id),t.scalar(1)]];case 9:return v=u("tensorArrayId",e,a,r),O=u("index",e,a,r),S=u("tensor",e,a,r),r.getTensorArray(v).write(O,S),[2,[t.scalar(1)]];case 10:return _=u("tensorArrayId",e,a,r),w=u("index",e,a,r),[2,[r.getTensorArray(_).read(w)]];case 11:return A=u("tensorArrayId",e,a,r),D=u("indices",e,a,r),E=u("dtype",e,a,r),[2,[r.getTensorArray(A).gather(D,E)]];case 12:return I=u("tensorArrayId",e,a,r),V=u("indices",e,a,r),k=u("tensor",e,a,r),r.getTensorArray(I).scatter(V,k),[2,[t.scalar(1)]];case 13:return M=u("tensorArrayId",e,a,r),C=r.getTensorArray(M),z=u("dtype",e,a,r),[2,[C.concat(z)]];case 14:return F=u("tensorArrayId",e,a,r),j=u("tensor",e,a,r),P=u("lengths",e,a,r),r.getTensorArray(F).split(P,j),[2,[t.scalar(1)]];case 15:return R=u("tensorArrayId",e,a,r),L=r.getTensorArray(R),[2,[t.scalar(L.size(),"int32")]];case 16:return B=u("tensorArrayId",e,a,r),r.getTensorArray(B).clearAndClose(),[2,[t.scalar(0)]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})},Z=function(e,a,r){switch(e.op){case"Conv1D":var n=u("stride",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),p=u("dilation",e,a,r);return[t.conv1d(u("x",e,a,r),u("filter",e,a,r),n,s,o,p)];case"Conv2D":n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase();var i=u("dilations",e,a,r);return[t.conv2d(u("x",e,a,r),u("filter",e,a,r),[n[1],n[2]],s,o,[i[1],i[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var m=u("fusedOps",e,a,r),c=m[0],d=m[1],y="biasadd"===c,f="prelu"===d,l="fusedbatchnorm"===c,h=u("numArgs",e,a,r);if(y){if(f&&2!==h)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!f&&1!==h)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),i=u("dilations",e,a,r);var N=u("args",e,a,r),g=N[0],b=N[1];return[("_FusedConv2D"===e.op?t.fused.conv2d:t.fused.depthwiseConv2d)({x:u("x",e,a,r),filter:u("filter",e,a,r),strides:[n[1],n[2]],pad:s,dataFormat:o,dilations:[i[1],i[2]],bias:g,activation:d,preluActivationWeights:b})];case"Conv2DBackpropInput":case"Conv2dTranspose":var x=u("outputShape",e,a,r);n=u("strides",e,a,r),s=u("pad",e,a,r);return[t.conv2dTranspose(u("x",e,a,r),u("filter",e,a,r),x,[n[1],n[2]],s)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":n=u("strides",e,a,r),s=u("pad",e,a,r),i=u("dilations",e,a,r),o=u("dataFormat",e,a,r).toUpperCase();return[t.depthwiseConv2d(u("input",e,a,r),u("filter",e,a,r),[n[1],n[2]],s,o,[i[1],i[2]])];case"Conv3D":n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),i=u("dilations",e,a,r);return[t.conv3d(u("x",e,a,r),u("filter",e,a,r),[n[1],n[2],n[3]],s,o,[i[1],i[2],i[3]])];case"AvgPool":n=u("strides",e,a,r),s=u("pad",e,a,r);var T=u("kernelSize",e,a,r);return[t.avgPool(u("x",e,a,r),[T[1],T[2]],[n[1],n[2]],s)];case"MaxPool":n=u("strides",e,a,r),s=u("pad",e,a,r),T=u("kernelSize",e,a,r);return[t.maxPool(u("x",e,a,r),[T[1],T[2]],[n[1],n[2]],s)];case"MaxPoolWithArgmax":n=u("strides",e,a,r),s=u("pad",e,a,r),T=u("kernelSize",e,a,r);var v=u("includeBatchInIndex",e,a,r),O=t.maxPoolWithArgmax(u("x",e,a,r),[T[1],T[2]],[n[1],n[2]],s,v);return[O.result,O.indexes];case"AvgPool3D":n=u("strides",e,a,r),s=u("pad",e,a,r),T=u("kernelSize",e,a,r);return[t.avgPool3d(u("x",e,a,r),[T[1],T[2],T[3]],[n[1],n[2],n[3]],s)];case"MaxPool3D":n=u("strides",e,a,r),s=u("pad",e,a,r),T=u("kernelSize",e,a,r);return[t.maxPool3d(u("x",e,a,r),[T[1],T[2],T[3]],[n[1],n[2],n[3]],s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},Y=function(e,a,r){switch(e.op){case"Fill":var n=u("shape",e,a,r),s=u("dtype",e,a,r),o=u("value",e,a,r);return[t.fill(n,o,s)];case"LinSpace":var p=u("start",e,a,r),i=u("stop",e,a,r),m=u("num",e,a,r);return[t.linspace(p,i,m)];case"Multinomial":var c=u("logits",e,a,r),d=u("numSamples",e,a,r),y=u("seed",e,a,r);return[t.multinomial(c,d,y)];case"OneHot":var f=u("indices",e,a,r),l=u("depth",e,a,r),h=u("onValue",e,a,r),N=u("offValue",e,a,r);return[t.oneHot(f,l,h,N)];case"Ones":return[t.ones(u("shape",e,a,r),u("dtype",e,a,r))];case"OnesLike":return[t.onesLike(u("x",e,a,r))];case"RandomUniform":return[t.randomUniform(u("shape",e,a,r),u("minval",e,a,r),u("maxval",e,a,r),u("dtype",e,a,r))];case"Range":p=u("start",e,a,r);var g=u("stop",e,a,r),b=u("step",e,a,r);return[t.range(p,g,b,u("dtype",e,a,r))];case"TruncatedNormal":n=u("shape",e,a,r);var x=u("mean",e,a,r),T=u("stdDev",e,a,r);y=u("seed",e,a,r);return[t.truncatedNormal(n,x,T,u("dtype",e,a,r),y)];case"Zeros":return[t.zeros(u("shape",e,a,r),u("dtype",e,a,r))];case"ZerosLike":return[t.zerosLike(u("x",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},J=function(e,a,r){return s(void 0,void 0,void 0,function(){var n,s,p,i,m,c,d,y;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return n=u("boxes",e,a,r),s=u("scores",e,a,r),p=u("maxOutputSize",e,a,r),i=u("iouThreshold",e,a,r),m=u("scoreThreshold",e,a,r),"NonMaxSuppressionV5"!==e.op?[3,3]:(c=u("softNmsSigma",e,a,r),[4,t.image.nonMaxSuppressionWithScoreAsync(n,s,p,i,m,c)]);case 2:return[2,[(y=o.sent()).selectedIndices,y.selectedScores]];case 3:return[4,t.image.nonMaxSuppressionAsync(n,s,p,i,m)];case 4:return[2,[o.sent()]];case 5:return d=u("condition",e,a,r).asType("bool"),[4,t.whereAsync(d)];case 6:return y=[o.sent()],d.dispose(),[2,y];case 7:return[2,t.setdiff1dAsync(u("x",e,a,r),u("y",e,a,r))];case 8:throw TypeError("Node type "+e.op+" is not implemented")}})})},$=function(e,a,r){switch(e.op){case"TopKV2":var n=u("x",e,a,r),s=u("k",e,a,r),o=u("sorted",e,a,r),p=t.topk(n,s,o);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},ee=function(e,a,r){switch(e.op){case"Const":return a[e.name];case"PlaceholderWithDefault":var n=u("default",e,a,r);return[m(e.name,a,r)||n];case"Placeholder":return[m(e.name,a,r)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[u("x",e,a,r).clone()];case"IdentityN":return u("x",e,a,r).map(function(e){return e.clone()});case"Snapshot":return[u("x",e,a,r).clone()];case"Shape":return[t.tensor1d(u("x",e,a,r).shape,"int32")];case"ShapeN":return u("x",e,a,r).map(function(e){return t.tensor1d(e.shape)});case"Size":return[t.scalar(u("x",e,a,r).size,"int32")];case"Rank":return[t.scalar(u("x",e,a,r).rank,"int32")];case"NoOp":return[t.scalar(1)];case"Print":var s=u("x",e,a,r),o=u("data",e,a,r),p=u("message",e,a,r),i=u("summarize",e,a,r);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(p);for(var c=0;c<o.length;c++)console.log(Array.prototype.slice.call(o[c].dataSync()).slice(0,i));return[s];default:throw TypeError("Node type "+e.op+" is not implemented")}},te=function(e,a,r){switch(e.op){case"ResizeBilinear":var n=u("images",e,a,r),s=u("size",e,a,r),o=u("alignCorners",e,a,r);return[t.image.resizeBilinear(n,[s[0],s[1]],o)];case"ResizeNearestNeighbor":n=u("images",e,a,r),s=u("size",e,a,r),o=u("alignCorners",e,a,r);return[t.image.resizeNearestNeighbor(n,[s[0],s[1]],o)];case"CropAndResize":var p=u("image",e,a,r),i=u("boxes",e,a,r),m=u("boxInd",e,a,r),c=u("cropSize",e,a,r),d=u("method",e,a,r),y=u("extrapolationValue",e,a,r);return[t.image.cropAndResize(p,i,m,c,d,y)];default:throw TypeError("Node type "+e.op+" is not implemented")}},ae=function(e,a,r){switch(e.op){case"Equal":return[t.equal(u("a",e,a,r),u("b",e,a,r))];case"NotEqual":return[t.notEqual(u("a",e,a,r),u("b",e,a,r))];case"Greater":return[t.greater(u("a",e,a,r),u("b",e,a,r))];case"GreaterEqual":return[t.greaterEqual(u("a",e,a,r),u("b",e,a,r))];case"Less":return[t.less(u("a",e,a,r),u("b",e,a,r))];case"LessEqual":return[t.lessEqual(u("a",e,a,r),u("b",e,a,r))];case"LogicalAnd":return[t.logicalAnd(u("a",e,a,r),u("b",e,a,r))];case"LogicalNot":return[t.logicalNot(u("a",e,a,r))];case"LogicalOr":return[t.logicalOr(u("a",e,a,r),u("b",e,a,r))];case"Select":case"SelectV2":return[t.where(u("condition",e,a,r),u("a",e,a,r),u("b",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},re=function(e,a,r){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[t.matMul(u("a",e,a,r),u("b",e,a,r),u("transposeA",e,a,r),u("transposeB",e,a,r))];case"Transpose":return[t.transpose(u("x",e,a,r),u("perm",e,a,r))];case"_FusedMatMul":var n=u("fusedOps",e,a,r),s=n[0],o=n[1],p="biasadd"===s,i="prelu"===o,m=u("numArgs",e,a,r);if(p){if(i&&2!==m)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==m)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var c=u("args",e,a,r),d=c[0],y=c[1];return[t.fused.matMul({a:u("a",e,a,r),b:u("b",e,a,r),transposeA:u("transposeA",e,a,r),transposeB:u("transposeB",e,a,r),bias:d,activation:o,preluActivationWeights:y})];default:throw TypeError("Node type "+e.op+" is not implemented")}},ne=function(e,a,r){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[t.batchNorm(u("x",e,a,r),u("mean",e,a,r),u("variance",e,a,r),u("offset",e,a,r),u("scale",e,a,r),u("epsilon",e,a,r))];case"LRN":return[t.localResponseNormalization(u("x",e,a,r),u("radius",e,a,r),u("bias",e,a,r),u("alpha",e,a,r),u("beta",e,a,r))];case"Softmax":return[t.softmax(u("x",e,a,r))];case"LogSoftmax":return[t.logSoftmax(u("x",e,a,r))];case"SparseToDense":return[t.sparseToDense(u("sparseIndices",e,a,r),u("outputShape",e,a,r),u("sparseValues",e,a,r),u("defaultValue",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},se=function(e,a,r){switch(e.op){case"Max":var n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.max(u("x",e,a,r),n,s)];case"Mean":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.mean(u("x",e,a,r),n,s)];case"Min":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.min(u("x",e,a,r),n,s)];case"Sum":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.sum(u("x",e,a,r),n,s)];case"All":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.all(u("x",e,a,r),n,s)];case"Any":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.any(u("x",e,a,r),n,s)];case"ArgMax":n=u("axis",e,a,r);return[t.argMax(u("x",e,a,r),n)];case"ArgMin":n=u("axis",e,a,r);return[t.argMin(u("x",e,a,r),n)];case"Prod":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.prod(u("x",e,a,r),n,s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},oe=function(e,a,r){switch(e.op){case"ConcatV2":case"Concat":var n=u("n",e,a,r),s=u("axis",e,a,r),o=u("tensors",e,a,r);return o=o.slice(0,n),[t.concat(o,s)];case"GatherV2":case"Gather":s=u("axis",e,a,r);var p=u("x",e,a,r),i=u("indices",e,a,r);return[t.gather(p,i.asType("int32"),s)];case"ReverseV2":case"Reverse":s=u("axis",e,a,r),p=u("x",e,a,r);return[t.reverse(p,s)];case"Slice":var m=u("begin",e,a,r),c=u("size",e,a,r);return[t.slice(u("x",e,a,r),m,c)];case"StridedSlice":m=u("begin",e,a,r);var d=u("end",e,a,r),y=u("strides",e,a,r),f=u("beginMask",e,a,r),l=u("endMask",e,a,r),h=u("ellipsisMask",e,a,r),N=u("newAxisMask",e,a,r),g=u("shrinkAxisMask",e,a,r),b=u("x",e,a,r);if(1===m.length&&b.shape.length>1)for(var x=1;x<b.shape.length;x++)m.push(0),d.push(b.shape[x]),y.push(y[0]);return[t.stridedSlice(b,m,d,y,f,l,h,N,g)];case"Pack":return t.tidy(function(){var n=u("axis",e,a,r),s=u("tensors",e,a,r),o=s[0].shape,p=s[0].squeeze().shape,i=s.map(function(e){var a=t.util.arraysEqual(e.shape,o);if(!a&&!t.util.arraysEqual(e.squeeze().shape,p))throw new Error("the input tensors shape does not match");return a?e:e.reshape(o)});return[t.stack(i,n)]});case"Unpack":return t.tidy(function(){var n=u("axis",e,a,r),s=u("tensor",e,a,r);return t.unstack(s,n)});case"Tile":var T=u("reps",e,a,r);return[t.tile(u("x",e,a,r),T)];case"Split":case"SplitV":s=u("axis",e,a,r);var v=u("numOrSizeSplits",e,a,r);return t.split(u("x",e,a,r),v,s);case"ScatterNd":i=u("indices",e,a,r);var O=u("values",e,a,r),S=u("shape",e,a,r);return[t.scatterND(i,O,S)];case"GatherNd":var _=u("x",e,a,r);i=u("indices",e,a,r);return[t.gatherND(_,i)];case"SparseToDense":i=u("sparseIndices",e,a,r),S=u("outputShape",e,a,r);var w=u("sparseValues",e,a,r),A=u("defaultValue",e,a,r);return[t.sparseToDense(i,w,S,w.dtype===A.dtype?A:A.asType(w.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}},pe=function(e,a,r){switch(e.op){case"FFT":return[t.fft(u("x",e,a,r))];case"IFFT":return[t.ifft(u("x",e,a,r))];case"RFFT":return[t.rfft(u("x",e,a,r))];case"IRFFT":return[t.irfft(u("x",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},ie=function(e,a,r){switch(e.op){case"Cast":return[t.cast(u("x",e,a,r),u("dtype",e,a,r))];case"ExpandDims":var n=u("axis",e,a,r);return[t.expandDims(u("x",e,a,r),n)];case"Squeeze":n=u("axis",e,a,r);return[t.squeeze(u("x",e,a,r),n)];case"Reshape":return[t.reshape(u("x",e,a,r),u("shape",e,a,r))];case"PadV2":case"Pad":return[t.pad(u("x",e,a,r),f(u("padding",e,a,r),2),u("constantValue",e,a,r))];case"SpaceToBatchND":var s=u("blockShape",e,a,r),o=f(u("paddings",e,a,r),2);return[t.spaceToBatchND(u("x",e,a,r),s,o)];case"BatchToSpaceND":s=u("blockShape",e,a,r);var p=f(u("crops",e,a,r),2);return[t.batchToSpaceND(u("x",e,a,r),s,p)];case"DepthToSpace":var i=u("blockSize",e,a,r),m=u("dataFormat",e,a,r).toUpperCase();return[t.depthToSpace(u("x",e,a,r),i,m)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function ue(e,a,r){var n=function(e,a,r){switch(e.category){case"arithmetic":return t.tidy(function(){return H(e,a,r)});case"basic_math":return t.tidy(function(){return Q(e,a,r)});case"control":return X(e,a,r);case"convolution":return t.tidy(function(){return Z(e,a,r)});case"creation":return t.tidy(function(){return Y(e,a,r)});case"dynamic":return J(e,a,r);case"evaluation":return t.tidy(function(){return $(e,a,r)});case"image":return t.tidy(function(){return te(e,a,r)});case"graph":return t.tidy(function(){return ee(e,a,r)});case"logical":return t.tidy(function(){return ae(e,a,r)});case"matrices":return t.tidy(function(){return re(e,a,r)});case"normalization":return t.tidy(function(){return ne(e,a,r)});case"reduction":return t.tidy(function(){return se(e,a,r)});case"slice_join":return t.tidy(function(){return oe(e,a,r)});case"spectral":return t.tidy(function(){return pe(e,a,r)});case"transformation":return t.tidy(function(){return ie(e,a,r)});case"custom":var n=i(e.op);if(n&&n.customExecutor)return n.customExecutor(new W(e,a,r));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,a,r);return n instanceof Promise?n.then(function(e){return[].concat(e)}):[].concat(n)}var me=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}();function ce(e,t,a){for(var r=new Set,n=[],s=null,o=null,p=new Set,i=Object.keys(e).map(function(e){return y(e)[0]}),u=t.slice();u.length>0;){var m=u.pop();(fe(m)||le(m))&&null==s&&(o=(s=m).children.map(function(e){return e.name}).filter(function(e){return r.has(e)})),r.add(m.name),null==a[m.name]&&(-1===i.indexOf(m.name)&&(0!==m.inputs.length?m.inputs.forEach(function(e){p.has(e.name)||(p.add(e.name),u.push(e))}):n.push(m.name)))}return{inputs:e,outputs:t,usedNodes:r,missingInputs:n,dynamicNode:s,syncInputs:o}}var de=["Switch","Merge","Enter","Exit","NextIteration"],ye=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function fe(e){return de.indexOf(e.op)>=0}function le(e){return ye.indexOf(e.op)>=0}var he=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=e.outputs,this._inputs=e.inputs,this._signature=e.signature}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this._inputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this._inputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this._outputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var a=e.map(function(e){return e.name}).sort(),r=t.map(function(e){return e.name}).sort();return a.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.prototype.compile=function(e,t){var a=ce(e,t,this.weightMap),r=a.missingInputs,n=a.dynamicNode,s=a.syncInputs;if(null!=n)throw new Error("This execution contains the node '"+n.name+"', which has the dynamic op '"+n.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+s+"]");if(r.length>0){var o=t.map(function(e){return e.name}),p=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+p+"]. Missing the following inputs: ["+r+"]")}return function(e,t,a){var r=a.usedNodes,n=a.inputs,s=[];Object.keys(n).map(function(e){return y(e)[0]}).map(function(t){return e.nodes[t]}).forEach(function(e){r.has(e.name)&&s.push(e)}),e.weights.forEach(function(e){r.has(e.name)&&s.push(e)});for(var o=new Set,p=[];s.length>0;){var i=s.pop();o.add(i.name),t[i.name]||p.push(i),i.children.forEach(function(e){!o.has(e.name)&&r.has(e.name)&&e.inputs.every(function(e){return o.has(e.name)})&&s.push(e)})}return p}(this.graph,this.weightMap,a)},e.prototype.execute=function(e,a){var r=this;e=this.mapInputs(e);var s=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),a=this.mapOutputs(a),this.checkOutputs(a);var o=s.map(function(e){return r.graph.nodes[y(e)[0]]}),p=a.map(function(e){return r.graph.nodes[y(e)[0]]}),i=this.getCompilationKey(o,p),u=this.compiledMap.get(i);null==u&&(u=this.compile(e,p),this.compiledMap.set(i,u));var c={};return t.tidy(function(){var t=new me(r._weightMap,c),s=n({},r.weightMap);Object.keys(e).forEach(function(t){var a=y(t),r=a[0],n=[];n[a[1]]=e[t],s[r]=n});for(var o=r.getFrozenTensorIds(s),p={},i=0;i<u.length;i++){var d=u[i];if(!s[d.name]){var f=ue(d,s,t);if(f instanceof Promise)throw new Error("The execution of the op '"+d.op+"' returned a promise. Please use model.executeAsync() instead.");s[d.name]=f,r.checkTensorForDisposal(d.name,d,s,t,o,a,p)}}return a.map(function(e){return m(e,s,t)})})},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})}));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,a,r,n,s,o){"control"!==t.category&&-1===s.indexOf(e)&&(a[e].forEach(function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)}),t.inputs.forEach(function(e){if("control"!==e.category){var t=function(e,t,a){return t[d(e,a.currentContextId)]}(e.name,a,r);null!=t&&t.forEach(function(e){if(e&&!n.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}})}}))},e.prototype.executeAsync=function(e,t){return s(this,void 0,void 0,function(){var a,r,n,s,p,i,u=this;return o(this,function(o){switch(o.label){case 0:return e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t),a={},r=new me(this._weightMap,a),[4,this.executeWithControlFlow(e,r,t)];case 1:return n=o.sent(),s=t.map(function(e){return m(e,n,r)}),p=new Set(s.map(function(e){return e.id})),i=new Set(Object.keys(e).map(function(t){return e[t].id})),Object.keys(n).forEach(function(e){n[e].forEach(function(e){!e||e.isDisposed||p.has(e.id)||i.has(e.id)||-1!==u.weightIds.indexOf(e.id)||e.dispose()})}),[2,s]}})})},e.prototype.executeWithControlFlow=function(e,t,a){return s(this,void 0,void 0,function(){var r,s,p,i,u,c,d,f,l,h,N,g,b,x,T,v,O=this;return o(this,function(o){switch(o.label){case 0:r=Object.keys(e),s=r.map(function(e){return O.graph.nodes[y(e)[0]]}),p=a.map(function(e){return O.graph.nodes[y(e)[0]]}),i=ce(e,p,this.weightMap),u=i.usedNodes,c=i.missingInputs,d=i.dynamicNode,f=i.syncInputs,l=s.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),h=n({},this.weightMap),Object.keys(e).forEach(function(t){var a=y(t),r=a[0],n=[];n[a[1]]=e[t],h[r]=n}),N={},g=this.getFrozenTensorIds(h),b={},o.label=1;case 1:return l.length>0?(x=this.processStack(s,l,t,h,b,g,a,N,u),[4,Promise.all(x)]):[3,3];case 2:return o.sent(),[3,1];case 3:if(null==d&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(T=p.filter(function(e){return!fe(e)&&!m(e.name,h,t)}).map(function(e){return e.name})).length>0)throw v="",null!=d&&(v="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+f+"]"),new Error("Cannot compute the outputs ["+T+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+c+"]. "+v);return[2,h]}})})},e.prototype.processStack=function(e,t,a,r,n,s,o,p,i){for(var m=this,d=[],y=function(){var y=t.pop();a.currentContext=y.contexts;var l="";if("Enter"===y.node.op&&u("isConstant",y.node,r,a)&&(l=c(y.node.name,a)[0]),-1===e.indexOf(y.node)){var h=ue(y.node,r,a);l||(l=c(y.node.name,a)[0]);var N=a.currentContext;h instanceof Promise?d.push(h.then(function(e){return r[l]=e,a.currentContext=N,m.checkTensorForDisposal(l,y.node,r,a,s,o,p),m.processChildNodes(y.node,t,a,r,n,i),e})):(r[l]=h,f.checkTensorForDisposal(l,y.node,r,a,s,o,p),f.processChildNodes(y.node,t,a,r,n,i))}else f.processChildNodes(y.node,t,a,r,n,i)},f=this;t.length>0;)y();return d},e.prototype.processChildNodes=function(e,t,a,r,n,s){e.children.forEach(function(e){var o=c(e.name,a)[0];!n[o]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some(function(e){return!!m(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!m(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e){var a=this;Object.keys(e).forEach(function(r){var n=e[r],s=y(r)[0],o=a.graph.nodes[s];if(o.attrParams.shape&&o.attrParams.shape.value){var p=o.attrParams.shape.value,i=p.length===n.shape.length&&n.shape.every(function(e,t){return-1===p[t]||p[t]===e});t.util.assert(i,function(){return"The shape of dict['"+o.name+"'] provided in model.execute(dict) must be ["+p+"], but was ["+n.shape+"]"})}o.attrParams.dtype&&o.attrParams.dtype.value&&t.util.assert(n.dtype===o.attrParams.dtype.value,function(){return"The dtype of dict['"+o.name+"'] provided in model.execute(dict) must be "+o.attrParams.dtype.value+", but was "+n.dtype})})},e.prototype.mapInputs=function(e){var t={};for(var a in e){if(null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[a])t[this._signature.inputs[a].name]=e[a];else t[a]=e[a]}return t},e.prototype.checkInputs=function(e){var t=this,a=Object.keys(e).filter(function(e){var a=y(e)[0];return null==t.graph.nodes[a]});if(a.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+a+"] that are not part of graph")},e.prototype.mapOutputs=function(e){var t=this;return e.map(function(e){return null!=t._signature&&null!=t._signature.outputs&&null!=t._signature.outputs[e]?t._signature.outputs[e].name:e},{})},e.prototype.checkOutputs=function(e){var t=this;e.forEach(function(e){var a=y(e)[0];if(!t.graph.nodes[a])throw new Error("The output '"+e+"' is not found in the graph")})},e}(),Ne="?tfjs-format=file",ge="model.json",be=function(){function e(e,t){void 0===t&&(t={}),this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={})}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=t.io.browserHTTPRequest(e,this.loadOptions);else{var a=t.io.getLoadHandlers(e,this.loadOptions.onProgress);if(0===a.length)a.push(t.io.browserHTTPRequest(e,this.loadOptions));else if(a.length>1)throw new Error("Found more than one ("+a.length+") load handlers for URL '"+[e]+"'");this.handler=a[0]}},e.prototype.load=function(){return s(this,void 0,void 0,function(){var e,a,r,n;return o(this,function(s){switch(s.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return e=this,[4,this.handler.load()];case 1:return e.artifacts=s.sent(),a=this.artifacts.modelTopology,r={},null!=this.artifacts.userDefinedMetadata&&(r=this.artifacts.userDefinedMetadata.signature),this.version=a.versions.producer+"."+a.versions.minConsumer,n=t.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs),this.executor=new he(V.Instance.transformGraph(a,r)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),[2,!0]}})})},e.prototype.save=function(e,a){return s(this,void 0,void 0,function(){var a;return o(this,function(r){if("string"==typeof e){if(0===(a=t.io.getSaveHandlers(e)).length)throw new Error("Cannot find any save handlers for URL '"+e+"'");if(a.length>1)throw new Error("Found more than one ("+a.length+") save handlers for URL '"+e+"'");e=a[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,e.save(this.artifacts)]})})},e.prototype.predict=function(e,t){return this.execute(e,this.outputNodes)},e.prototype.normalizeInputs=function(e){if(!(e instanceof t.Tensor||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,the graph model has "+this.inputNodes.length+" placeholders, while there are "+e.length+" input tensors.");return this.inputNodes.reduce(function(t,a,r){return t[a]=e[r],t},{})},e.prototype.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},e.prototype.execute=function(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var a=this.executor.execute(e,t);return a.length>1?a:a[0]},e.prototype.executeAsync=function(e,t){return s(this,void 0,void 0,function(){var a;return o(this,function(r){switch(r.label){case 0:return e=this.normalizeInputs(e),t=this.normalizeOutputs(t),[4,this.executor.executeAsync(e,t)];case 1:return[2,(a=r.sent()).length>1?a:a[0]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();e.GraphModel=be,e.loadGraphModel=function(e,t){return void 0===t&&(t={}),s(this,void 0,void 0,function(){var a;return o(this,function(r){switch(r.label){case 0:if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==t&&(t={}),t.fromTFHub&&null==e.load&&(e.endsWith("/")||(e+="/"),e=""+e+ge+Ne),[4,(a=new be(e,t)).load()];case 1:return r.sent(),[2,a]}})})},e.deregisterOp=function(e){delete p[e]},e.registerOp=function(e,t){var a={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};p[e]=a},e.version_converter="1.7.4",Object.defineProperty(e,"__esModule",{value:!0})});
 //# sourceMappingURL=tf-converter.min.js.map
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/miniprogram/index.js.map b/node_modules/@tensorflow/tfjs-converter/dist/miniprogram/index.js.map
index dd0ee0709..8d6dfa132 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/miniprogram/index.js.map
+++ b/node_modules/@tensorflow/tfjs-converter/dist/miniprogram/index.js.map
@@ -1 +1 @@
-{"version":3,"file":"tf-converter.min.js","sources":["../src/data/compiled_api.ts","../src/operations/custom_op/register.ts","../src/operations/executors/utils.ts","../src/operations/op_list/arithmetic.ts","../src/operations/op_list/basic_math.ts","../src/operations/op_list/control.ts","../src/operations/op_list/convolution.ts","../src/operations/op_list/creation.ts","../src/operations/op_list/dynamic.ts","../src/operations/op_list/evaluation.ts","../src/operations/op_list/graph.ts","../src/operations/op_list/image.ts","../src/operations/op_list/logical.ts","../src/operations/op_list/matrices.ts","../src/operations/op_list/normalization.ts","../src/operations/op_list/reduction.ts","../src/operations/op_list/slice_join.ts","../src/operations/op_list/spectral.ts","../src/operations/op_list/transformation.ts","../src/operations/operation_mapper.ts","../src/operations/custom_op/node_value_impl.ts","../src/operations/executors/arithmetic_executor.ts","../src/operations/executors/basic_math_executor.ts","../src/executor/tensor_array.ts","../src/operations/executors/control_executor.ts","../src/operations/executors/convolution_executor.ts","../src/operations/executors/creation_executor.ts","../src/operations/executors/dynamic_executor.ts","../src/operations/executors/evaluation_executor.ts","../src/operations/executors/graph_executor.ts","../src/operations/executors/image_executor.ts","../src/operations/executors/logical_executor.ts","../src/operations/executors/matrices_executor.ts","../src/operations/executors/normalization_executor.ts","../src/operations/executors/reduction_executor.ts","../src/operations/executors/slice_join_executor.ts","../src/operations/executors/spectral_executor.ts","../src/operations/executors/transformation_executor.ts","../src/operations/operation_executor.ts","../src/executor/execution_context.ts","../src/executor/model_analysis.ts","../src/executor/graph_executor.ts","../src/executor/graph_model.ts","../src/version.ts"],"sourcesContent":["/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPoolWithArgmax',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'}, {\n        'tfName': 'include_batch_in_index',\n        'name': 'includeBatchInIndex',\n        'type': 'bool'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n    case tensorflow.DataType.DT_INT8:\n    case tensorflow.DataType.DT_UINT8:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Conv1D': {\n      const stride =\n          getParamValue('stride', node, tensorMap, context) as number;\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilation =\n          getParamValue('dilation', node, tensorMap, context) as number;\n      return [tfc.conv1d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n          stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n          dilation)];\n    }\n    case 'Conv2D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv2d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case '_FusedConv2D':\n    case 'FusedDepthwiseConv2dNative': {\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n      const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n              'must have two extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n              'one extra argument: bias.');\n        }\n      }\n      if (isBatchNorm) {\n        throw new Error(\n            'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n      }\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      const kernelMethod = node.op === '_FusedConv2D' ?\n          tfc.fused.conv2d :\n          tfc.fused.depthwiseConv2d;\n      return [kernelMethod({\n        x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n            tfc.Tensor4D,\n        filter: getParamValue('filter', node, tensorMap, context) as\n            tfc.Tensor4D,\n        strides: [stride[1], stride[2]],\n        pad: pad as 'valid' | 'same',\n        dataFormat: dataFormat as 'NHWC' | 'NCHW',\n        dilations: [dilations[1], dilations[2]],\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n    }\n    case 'Conv2DBackpropInput':\n    case 'Conv2dTranspose': {\n      const shape = getParamValue(\n                        'outputShape', node, tensorMap,\n                        context) as [number, number, number] |\n          [number, number, number, number];\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      return [tfc.conv2dTranspose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n    }\n    case 'DepthwiseConv2dNative':\n    case 'DepthwiseConv2d': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n\n      return [tfc.depthwiseConv2d(\n          getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case 'Conv3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n              tfc.Tensor<tfc.Rank.R5>,\n          getParamValue('filter', node, tensorMap, context) as\n              tfc.Tensor<tfc.Rank.R5>,\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n          dataFormat as 'NDHWC' | 'NCDHW',\n          [dilations[1], dilations[2], dilations[3]])];\n    }\n    case 'AvgPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPoolWithArgmax': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n      const includeBatchInIndex =\n          getParamValue('includeBatchInIndex', node, tensorMap, context) as\n          boolean;\n      const {result, indexes} = tfc.maxPoolWithArgmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same', includeBatchInIndex);\n      return [result, indexes];\n    }\n    case 'AvgPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    case 'MaxPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      const condition =\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool');\n      const result = [await tfc.whereAsync(condition)];\n      condition.dispose();\n      return result;\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return tfc.tidy(\n                () => arithmetic.executeOp(node, tensorMap, context));\n          case 'basic_math':\n            return tfc.tidy(\n                () => basicMath.executeOp(node, tensorMap, context));\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return tfc.tidy(\n                () => convolution.executeOp(node, tensorMap, context));\n          case 'creation':\n            return tfc.tidy(() => creation.executeOp(node, tensorMap, context));\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return tfc.tidy(\n                () => evaluation.executeOp(node, tensorMap, context));\n          case 'image':\n            return tfc.tidy(() => image.executeOp(node, tensorMap, context));\n          case 'graph':\n            return tfc.tidy(() => graph.executeOp(node, tensorMap, context));\n          case 'logical':\n            return tfc.tidy(() => logical.executeOp(node, tensorMap, context));\n          case 'matrices':\n            return tfc.tidy(() => matrices.executeOp(node, tensorMap, context));\n          case 'normalization':\n            return tfc.tidy(\n                () => normalization.executeOp(node, tensorMap, context));\n          case 'reduction':\n            return tfc.tidy(\n                () => reduction.executeOp(node, tensorMap, context));\n          case 'slice_join':\n            return tfc.tidy(\n                () => sliceJoin.executeOp(node, tensorMap, context));\n          case 'spectral':\n            return tfc.tidy(() => spectral.executeOp(node, tensorMap, context));\n          case 'transformation':\n            return tfc.tidy(\n                () => transformation.executeOp(node, tensorMap, context));\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.2';\nexport 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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPoolWithArgmax',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'}, {\n        'tfName': 'include_batch_in_index',\n        'name': 'includeBatchInIndex',\n        'type': 'bool'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SelectV2',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n    case tensorflow.DataType.DT_INT8:\n    case tensorflow.DataType.DT_UINT8:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Conv1D': {\n      const stride =\n          getParamValue('stride', node, tensorMap, context) as number;\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilation =\n          getParamValue('dilation', node, tensorMap, context) as number;\n      return [tfc.conv1d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n          stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n          dilation)];\n    }\n    case 'Conv2D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv2d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case '_FusedConv2D':\n    case 'FusedDepthwiseConv2dNative': {\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n      const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n              'must have two extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n              'one extra argument: bias.');\n        }\n      }\n      if (isBatchNorm) {\n        throw new Error(\n            'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n      }\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      const kernelMethod = node.op === '_FusedConv2D' ?\n          tfc.fused.conv2d :\n          tfc.fused.depthwiseConv2d;\n      return [kernelMethod({\n        x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n            tfc.Tensor4D,\n        filter: getParamValue('filter', node, tensorMap, context) as\n            tfc.Tensor4D,\n        strides: [stride[1], stride[2]],\n        pad: pad as 'valid' | 'same',\n        dataFormat: dataFormat as 'NHWC' | 'NCHW',\n        dilations: [dilations[1], dilations[2]],\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n    }\n    case 'Conv2DBackpropInput':\n    case 'Conv2dTranspose': {\n      const shape = getParamValue(\n                        'outputShape', node, tensorMap,\n                        context) as [number, number, number] |\n          [number, number, number, number];\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      return [tfc.conv2dTranspose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n    }\n    case 'DepthwiseConv2dNative':\n    case 'DepthwiseConv2d': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n\n      return [tfc.depthwiseConv2d(\n          getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case 'Conv3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n              tfc.Tensor<tfc.Rank.R5>,\n          getParamValue('filter', node, tensorMap, context) as\n              tfc.Tensor<tfc.Rank.R5>,\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n          dataFormat as 'NDHWC' | 'NCDHW',\n          [dilations[1], dilations[2], dilations[3]])];\n    }\n    case 'AvgPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPoolWithArgmax': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n      const includeBatchInIndex =\n          getParamValue('includeBatchInIndex', node, tensorMap, context) as\n          boolean;\n      const {result, indexes} = tfc.maxPoolWithArgmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same', includeBatchInIndex);\n      return [result, indexes];\n    }\n    case 'AvgPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    case 'MaxPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      const condition =\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool');\n      const result = [await tfc.whereAsync(condition)];\n      condition.dispose();\n      return result;\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select':\n    case 'SelectV2': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return tfc.tidy(\n                () => arithmetic.executeOp(node, tensorMap, context));\n          case 'basic_math':\n            return tfc.tidy(\n                () => basicMath.executeOp(node, tensorMap, context));\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return tfc.tidy(\n                () => convolution.executeOp(node, tensorMap, context));\n          case 'creation':\n            return tfc.tidy(() => creation.executeOp(node, tensorMap, context));\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return tfc.tidy(\n                () => evaluation.executeOp(node, tensorMap, context));\n          case 'image':\n            return tfc.tidy(() => image.executeOp(node, tensorMap, context));\n          case 'graph':\n            return tfc.tidy(() => graph.executeOp(node, tensorMap, context));\n          case 'logical':\n            return tfc.tidy(() => logical.executeOp(node, tensorMap, context));\n          case 'matrices':\n            return tfc.tidy(() => matrices.executeOp(node, tensorMap, context));\n          case 'normalization':\n            return tfc.tidy(\n                () => normalization.executeOp(node, tensorMap, context));\n          case 'reduction':\n            return tfc.tidy(\n                () => reduction.executeOp(node, tensorMap, context));\n          case 'slice_join':\n            return tfc.tidy(\n                () => sliceJoin.executeOp(node, tensorMap, context));\n          case 'spectral':\n            return tfc.tidy(() => spectral.executeOp(node, tensorMap, context));\n          case 'transformation':\n            return tfc.tidy(\n                () => transformation.executeOp(node, tensorMap, context));\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.4';\nexport 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\ No newline at end of file
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor.js b/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor.js
index 3630a9695..557103744 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor.js
+++ b/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor.js
@@ -47,7 +47,8 @@ exports.executeOp = function (node, tensorMap, context) {
         case 'LogicalOr': {
             return [tfc.logicalOr(utils_1.getParamValue('a', node, tensorMap, context), utils_1.getParamValue('b', node, tensorMap, context))];
         }
-        case 'Select': {
+        case 'Select':
+        case 'SelectV2': {
             return [tfc.where(utils_1.getParamValue('condition', node, tensorMap, context), utils_1.getParamValue('a', node, tensorMap, context), utils_1.getParamValue('b', node, tensorMap, context))];
         }
         default:
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor.js.map b/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor.js.map
index e0ccb66c2..74785f9e9 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor.js.map
+++ b/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor.js.map
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor_test.js.map b/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor_test.js.map
index efec42297..84cf858fd 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor_test.js.map
+++ b/node_modules/@tensorflow/tfjs-converter/dist/operations/executors/logical_executor_test.js.map
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/operations/op_list/logical.js b/node_modules/@tensorflow/tfjs-converter/dist/operations/op_list/logical.js
index 54ac0cbb5..225b86f2d 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/operations/op_list/logical.js
+++ b/node_modules/@tensorflow/tfjs-converter/dist/operations/op_list/logical.js
@@ -123,6 +123,18 @@ exports.json = [
             { 'start': 1, 'name': 'a', 'type': 'tensor' },
             { 'start': 2, 'name': 'b', 'type': 'tensor' },
         ],
+        'attrs': [
+            { 'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true }
+        ]
+    },
+    {
+        'tfOpName': 'SelectV2',
+        'category': 'logical',
+        'inputs': [
+            { 'start': 0, 'name': 'condition', 'type': 'tensor' },
+            { 'start': 1, 'name': 'a', 'type': 'tensor' },
+            { 'start': 2, 'name': 'b', 'type': 'tensor' },
+        ],
         'attrs': [{
                 'tfName': 'T',
                 'name': 'dtype',
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/operations/op_list/logical.js.map b/node_modules/@tensorflow/tfjs-converter/dist/operations/op_list/logical.js.map
index 057b47bf5..d371c7ffb 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/operations/op_list/logical.js.map
+++ b/node_modules/@tensorflow/tfjs-converter/dist/operations/op_list/logical.js.map
@@ -1 +1 @@
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diff --git a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.esm.js b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.esm.js
index 75778bacc..1d968c048 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.esm.js
+++ b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.esm.js
@@ -14,5 +14,5 @@
  * limitations under the License.
  * =============================================================================
  */
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json=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],arithmetic=Object.freeze({json:json}),json$1=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"clip_value_min",name:"clipValueMin",type:"number"},{tfName:"clip_value_max",name:"clipValueMax",type:"number"}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"clipValueMin",name:"clipValueMin",type:"number",defaultValue:0},{tfName:"clipValueMax",name:"clipValueMax",type:"number",defaultValue:6}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],basicMath=Object.freeze({json:json$1}),json$2=[{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"st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0===(n=getDtypeArrayParam(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=getDtypeArrayParam(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+a.type+" for op: "+e.op)}return t[a.name]={value:n,type:r},t},{})),a},e}();function decodeBase64(e){var t=env().global;if(void 0!==t.atob)return t.atob(e);if("undefined"!=typeof Buffer)return new Buffer(e,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function parseStringParam(e,t){var a=Array.isArray(e)?String.fromCharCode.apply(null,e):decodeBase64(e);return t?a:a.toLowerCase()}function getStringParam(e,t,a,r){void 0===r&&(r=!1);var n=e[t];return null!=n?parseStringParam(n.s,r):a}function getBoolParam(e,t,a){var r=e[t];return r?r.b:a}function getNumberParam(e,t,a){var r=e[t]||{},n=null!=r.i?r.i:null!=r.f?r.f:a;return"number"==typeof n?n:parseInt(n,10)}function parseDtypeParam(e){switch("string"==typeof e&&(e=DataType[e]),e){case DataType.DT_FLOAT:return"float32";case DataType.DT_INT32:case DataType.DT_INT64:case DataType.DT_INT8:case DataType.DT_UINT8:return"int32";case DataType.DT_BOOL:return"bool";case DataType.DT_DOUBLE:return"float32";case DataType.DT_STRING:return"string";default:return null}}function getDtypeParam(e,t,a){var r=e[t];return r&&r.type?parseDtypeParam(r.type):a}function getDtypeArrayParam(e,t,a){var r=e[t];return r&&r.list&&r.list.type?r.list.type.map(function(e){return parseDtypeParam(e)}):a}function parseTensorShapeParam(e){if(!e.unknownRank)return null!=e.dim?e.dim.map(function(e){return"number"==typeof e.size?e.size:parseInt(e.size,10)}):[]}function getTensorShapeParam(e,t,a){var r=e[t];return r&&r.shape?parseTensorShapeParam(r.shape):a}function getNumericArrayParam(e,t,a){var r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map(function(e){return"number"==typeof e?e:parseInt(e,10)}):a}function getStringArrayParam(e,t,a,r){void 0===r&&(r=!1);var n=e[t];return n&&n.list&&n.list.s?n.list.s.map(function(e){return parseStringParam(e,r)}):a}function getTensorShapeArrayParam(e,t,a){var r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map(function(e){return parseTensorShapeParam(e)}):a}function getBoolArrayParam(e,t,a){var r=e[t];return r&&r.list&&r.list.b?r.list.b:a}var NodeValueImpl=function(){function e(e,t,a){var r=this;this.node=e,this.tensorMap=t,this.context=a,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(function(e){return r.getInput(e)}),null!=e.rawAttrs&&(this.attrs=Object.keys(e.rawAttrs).reduce(function(e,t){return e[t]=r.getAttr(t),e},{}))}return e.prototype.getInput=function(e){return getTensor(e,this.tensorMap,this.context)},e.prototype.getAttr=function(e,t){var a=this.node.rawAttrs[e];if(null!=a.tensor)return getTensor(e,this.tensorMap,this.context);if(null!=a.i||null!=a.f)return getNumberParam(this.node.rawAttrs,e,t);if(null!=a.s)return getStringParam(this.node.rawAttrs,e,t);if(null!=a.b)return getBoolParam(this.node.rawAttrs,e,t);if(null!=a.shape)return getTensorShapeParam(this.node.rawAttrs,e,t);if(null!=a.type)return getDtypeParam(this.node.rawAttrs,e,t);if(null!=a.list){if(null!=a.list.i||null!=a.list.f)return getNumericArrayParam(this.node.rawAttrs,e,t);if(null!=a.list.s)return getStringArrayParam(this.node.rawAttrs,e,t);if(null!=a.list.shape)return getTensorShapeArrayParam(this.node.rawAttrs,e,t);if(null!=a.list.b)return getBoolArrayParam(this.node.rawAttrs,e,t);if(null!=a.list.type)return getDtypeArrayParam(this.node.rawAttrs,e,t)}return t},e}(),executeOp=function(e,t,a){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[add(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"AddN":return[addN(getParamValue("tensors",e,t,a))];case"FloorMod":case"Mod":return[mod(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Mul":return[mul(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"RealDiv":case"Div":return[div(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"DivNoNan":return[divNoNan(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"FloorDiv":return[floorDiv(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Sub":return[sub(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Minimum":return[minimum(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Maximum":return[maximum(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Pow":return[pow(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"SquaredDifference":return[squaredDifference(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$1=function(e,t,a){switch(e.op){case"Abs":case"ComplexAbs":return[abs(getParamValue("x",e,t,a))];case"Acos":return[acos(getParamValue("x",e,t,a))];case"Acosh":return[acosh(getParamValue("x",e,t,a))];case"Asin":return[asin(getParamValue("x",e,t,a))];case"Asinh":return[asinh(getParamValue("x",e,t,a))];case"Atan":return[atan(getParamValue("x",e,t,a))];case"Atan2":return[atan2(getParamValue("x",e,t,a),getParamValue("y",e,t,a))];case"Atanh":return[atanh(getParamValue("x",e,t,a))];case"Ceil":return[ceil(getParamValue("x",e,t,a))];case"Complex":return[complex(getParamValue("real",e,t,a),getParamValue("imag",e,t,a))];case"Cos":return[cos(getParamValue("x",e,t,a))];case"Cosh":return[cosh(getParamValue("x",e,t,a))];case"Elu":return[elu(getParamValue("x",e,t,a))];case"Erf":return[erf(getParamValue("x",e,t,a))];case"Exp":return[exp(getParamValue("x",e,t,a))];case"Expm1":return[expm1(getParamValue("x",e,t,a))];case"Floor":return[floor(getParamValue("x",e,t,a))];case"Log":return[log(getParamValue("x",e,t,a))];case"Log1p":return[log1p(getParamValue("x",e,t,a))];case"Imag":return[imag(getParamValue("x",e,t,a))];case"Neg":return[neg(getParamValue("x",e,t,a))];case"Reciprocal":return[reciprocal(getParamValue("x",e,t,a))];case"Real":return[real(getParamValue("x",e,t,a))];case"Relu":return[relu(getParamValue("x",e,t,a))];case"Round":return[round(getParamValue("x",e,t,a))];case"Selu":return[selu(getParamValue("x",e,t,a))];case"Sigmoid":return[sigmoid(getParamValue("x",e,t,a))];case"Sin":return[sin(getParamValue("x",e,t,a))];case"Sign":return[sign(getParamValue("x",e,t,a))];case"Sinh":return[sinh(getParamValue("x",e,t,a))];case"Softplus":return[softplus(getParamValue("x",e,t,a))];case"Sqrt":return[sqrt(getParamValue("x",e,t,a))];case"Square":return[square(getParamValue("x",e,t,a))];case"Tanh":return[tanh(getParamValue("x",e,t,a))];case"Tan":return[tan(getParamValue("x",e,t,a))];case"Relu6":case"ClipByValue":return[clipByValue(getParamValue("x",e,t,a),getParamValue("clipValueMin",e,t,a),getParamValue("clipValueMax",e,t,a))];case"Rsqrt":return[rsqrt(getTensor(e.inputNames[0],t,a))];case"Prod":return[prod(getParamValue("x",e,t,a),getParamValue("axes",e,t,a))];case"LeakyRelu":return[leakyRelu(getParamValue("x",e,t,a),getParamValue("alpha",e,t,a))];case"Prelu":return[prelu(getParamValue("x",e,t,a),getParamValue("alpha",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},TensorArray=function(){function e(t,a,r,n,s,o,p){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=o,this.clearAfterRead=p,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.tensors.length)throw new Error("Tried to read from index "+e+", but array size is: "+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),a&&a.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been read.");if(a&&a.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been written.");a.tensor=t,a.written=!0,this.tensors[e]=a},e.prototype.writeMany=function(e,t){var a=this;if(e.length!==t.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+e.length+" is not the same as tensors size: "+t.length+".");e.forEach(function(e,r){return a.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+t);if(!e){e=[];for(var a=0;a<this.size();a++)e.push(a)}if(0===e.length)return tensor([],[0].concat(this.elementShape));var r=this.readMany(e);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),stack(r,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return tensor([],[0].concat(this.elementShape));for(var t=[],a=0;a<this.size();a++)t.push(a);var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),concat(r,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+t.shape[0]);var a=Math.max.apply(Math,e);if(!this.dynamicSize&&a>=this.maxSize)throw new Error("Max index must be < array size ("+a+"  vs. "+this.maxSize+")");this.writeMany(e,unstack(t,0))},e.prototype.split=function(e,t){var a=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);var r=0,n=e.map(function(e){return r+=e});if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var s=0===r?0:t.size/r,o=[];tidy(function(){t=t.reshape([1,r,s]);for(var p=0;p<e.length;++p){var u=[0,0===p?0:n[p-1],0],i=[1,e[p],s];o[p]=slice(t,u,i).reshape(a.elementShape)}return o});for(var p=[],u=0;u<e.length;u++)p[u]=u;this.writeMany(p,o)},e.prototype.assertShapesMatchAllowUndefinedSize=function(e,t,a){void 0===a&&(a=""),util.assert(this.shapesEqualAllowUndefinedSize(e,t),function(){return a+" Shapes "+e+" and "+t+" must match"})},e.prototype.shapesEqualAllowUndefinedSize=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}(),_this=void 0,executeOp$2=function(e,t,a){return __awaiter(_this,void 0,void 0,function(){var r,n,s,o,p,u,i,m,l,c,d,y,f,g,h,N,x,V,b,P,T,v,O,S,_,w,A,D,E,I,M,C,k,z,F;return __generator(this,function(j){switch(j.label){case 0:switch(e.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[getParamValue("pred",e,t,a).clone()]];case 2:return r=getParamValue("pred",e,t,a),n=getParamValue("data",e,t,a),[4,r.data()];case 3:return[2,j.sent()[0]?[void 0,n.clone()]:[n.clone(),void 0]];case 4:return[2,(s=e.inputNames.find(function(e){return void 0!==getTensor(e,t,a)}))?[getTensor(s,t,a).clone()]:void 0];case 5:return o=getParamValue("frameName",e,t,a),p=getParamValue("tensor",e,t,a),a.enterFrame(o),[2,[p.clone()]];case 6:return u=getParamValue("tensor",e,t,a),a.exitFrame(),[2,[u.clone()]];case 7:return i=getParamValue("tensor",e,t,a),a.nextIteration(),[2,[i.clone()]];case 8:return m=getParamValue("size",e,t,a),l=getParamValue("dtype",e,t,a),c=getParamValue("elementShape",e,t,a),d=getParamValue("dynamicSize",e,t,a),y=getParamValue("clearAfterRead",e,t,a),f=getParamValue("identicalElementShapes",e,t,a),g=getParamValue("name",e,t,a),h=new TensorArray(g,l,m,c,f,d,y),a.addTensorArray(h),[2,[scalar(h.id),scalar(1)]];case 9:return N=getParamValue("tensorArrayId",e,t,a),x=getParamValue("index",e,t,a),V=getParamValue("tensor",e,t,a),a.getTensorArray(N).write(x,V),[2,[scalar(1)]];case 10:return b=getParamValue("tensorArrayId",e,t,a),P=getParamValue("index",e,t,a),[2,[a.getTensorArray(b).read(P)]];case 11:return T=getParamValue("tensorArrayId",e,t,a),v=getParamValue("indices",e,t,a),O=getParamValue("dtype",e,t,a),[2,[a.getTensorArray(T).gather(v,O)]];case 12:return S=getParamValue("tensorArrayId",e,t,a),_=getParamValue("indices",e,t,a),w=getParamValue("tensor",e,t,a),a.getTensorArray(S).scatter(_,w),[2,[scalar(1)]];case 13:return A=getParamValue("tensorArrayId",e,t,a),D=a.getTensorArray(A),E=getParamValue("dtype",e,t,a),[2,[D.concat(E)]];case 14:return I=getParamValue("tensorArrayId",e,t,a),M=getParamValue("tensor",e,t,a),C=getParamValue("lengths",e,t,a),a.getTensorArray(I).split(C,M),[2,[scalar(1)]];case 15:return k=getParamValue("tensorArrayId",e,t,a),z=a.getTensorArray(k),[2,[scalar(z.size(),"int32")]];case 16:return F=getParamValue("tensorArrayId",e,t,a),a.getTensorArray(F).clearAndClose(),[2,[scalar(0)]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})},executeOp$3=function(e,t,a){switch(e.op){case"Conv1D":var r=getParamValue("stride",e,t,a),n=getParamValue("pad",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase(),o=getParamValue("dilation",e,t,a);return[conv1d(getParamValue("x",e,t,a),getParamValue("filter",e,t,a),r,n,s,o)];case"Conv2D":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase();var p=getParamValue("dilations",e,t,a);return[conv2d(getParamValue("x",e,t,a),getParamValue("filter",e,t,a),[r[1],r[2]],n,s,[p[1],p[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var u=getParamValue("fusedOps",e,t,a),i=u[0],m=u[1],l="biasadd"===i,c="prelu"===m,d="fusedbatchnorm"===i,y=getParamValue("numArgs",e,t,a);if(l){if(c&&2!==y)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!c&&1!==y)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(d)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase(),p=getParamValue("dilations",e,t,a);var f=getParamValue("args",e,t,a),g=f[0],h=f[1];return[("_FusedConv2D"===e.op?fused.conv2d:fused.depthwiseConv2d)({x:getParamValue("x",e,t,a),filter:getParamValue("filter",e,t,a),strides:[r[1],r[2]],pad:n,dataFormat:s,dilations:[p[1],p[2]],bias:g,activation:m,preluActivationWeights:h})];case"Conv2DBackpropInput":case"Conv2dTranspose":var N=getParamValue("outputShape",e,t,a);r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a);return[conv2dTranspose(getParamValue("x",e,t,a),getParamValue("filter",e,t,a),N,[r[1],r[2]],n)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),p=getParamValue("dilations",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase();return[depthwiseConv2d(getParamValue("input",e,t,a),getParamValue("filter",e,t,a),[r[1],r[2]],n,s,[p[1],p[2]])];case"Conv3D":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase(),p=getParamValue("dilations",e,t,a);return[conv3d(getParamValue("x",e,t,a),getParamValue("filter",e,t,a),[r[1],r[2],r[3]],n,s,[p[1],p[2],p[3]])];case"AvgPool":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a);var x=getParamValue("kernelSize",e,t,a);return[avgPool(getParamValue("x",e,t,a),[x[1],x[2]],[r[1],r[2]],n)];case"MaxPool":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),x=getParamValue("kernelSize",e,t,a);return[maxPool(getParamValue("x",e,t,a),[x[1],x[2]],[r[1],r[2]],n)];case"MaxPoolWithArgmax":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),x=getParamValue("kernelSize",e,t,a);var V=getParamValue("includeBatchInIndex",e,t,a),b=maxPoolWithArgmax(getParamValue("x",e,t,a),[x[1],x[2]],[r[1],r[2]],n,V);return[b.result,b.indexes];case"AvgPool3D":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),x=getParamValue("kernelSize",e,t,a);return[avgPool3d(getParamValue("x",e,t,a),[x[1],x[2],x[3]],[r[1],r[2],r[3]],n)];case"MaxPool3D":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),x=getParamValue("kernelSize",e,t,a);return[maxPool3d(getParamValue("x",e,t,a),[x[1],x[2],x[3]],[r[1],r[2],r[3]],n)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$4=function(e,t,a){switch(e.op){case"Fill":var r=getParamValue("shape",e,t,a),n=getParamValue("dtype",e,t,a),s=getParamValue("value",e,t,a);return[fill(r,s,n)];case"LinSpace":var o=getParamValue("start",e,t,a),p=getParamValue("stop",e,t,a),u=getParamValue("num",e,t,a);return[linspace(o,p,u)];case"Multinomial":var i=getParamValue("logits",e,t,a),m=getParamValue("numSamples",e,t,a),l=getParamValue("seed",e,t,a);return[multinomial(i,m,l)];case"OneHot":var c=getParamValue("indices",e,t,a),d=getParamValue("depth",e,t,a),y=getParamValue("onValue",e,t,a),f=getParamValue("offValue",e,t,a);return[oneHot(c,d,y,f)];case"Ones":return[ones(getParamValue("shape",e,t,a),getParamValue("dtype",e,t,a))];case"OnesLike":return[onesLike(getParamValue("x",e,t,a))];case"RandomUniform":return[randomUniform(getParamValue("shape",e,t,a),getParamValue("minval",e,t,a),getParamValue("maxval",e,t,a),getParamValue("dtype",e,t,a))];case"Range":o=getParamValue("start",e,t,a);var g=getParamValue("stop",e,t,a),h=getParamValue("step",e,t,a);return[range(o,g,h,getParamValue("dtype",e,t,a))];case"TruncatedNormal":r=getParamValue("shape",e,t,a);var N=getParamValue("mean",e,t,a),x=getParamValue("stdDev",e,t,a);l=getParamValue("seed",e,t,a);return[truncatedNormal(r,N,x,getParamValue("dtype",e,t,a),l)];case"Zeros":return[zeros(getParamValue("shape",e,t,a),getParamValue("dtype",e,t,a))];case"ZerosLike":return[zerosLike(getParamValue("x",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},_this$1=void 0,executeOp$5=function(e,t,a){return __awaiter(_this$1,void 0,void 0,function(){var r,n,s,o,p,u,i,m;return __generator(this,function(l){switch(l.label){case 0:switch(e.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return r=getParamValue("boxes",e,t,a),n=getParamValue("scores",e,t,a),s=getParamValue("maxOutputSize",e,t,a),o=getParamValue("iouThreshold",e,t,a),p=getParamValue("scoreThreshold",e,t,a),"NonMaxSuppressionV5"!==e.op?[3,3]:(u=getParamValue("softNmsSigma",e,t,a),[4,image.nonMaxSuppressionWithScoreAsync(r,n,s,o,p,u)]);case 2:return[2,[(m=l.sent()).selectedIndices,m.selectedScores]];case 3:return[4,image.nonMaxSuppressionAsync(r,n,s,o,p)];case 4:return[2,[l.sent()]];case 5:return i=getParamValue("condition",e,t,a).asType("bool"),[4,whereAsync(i)];case 6:return m=[l.sent()],i.dispose(),[2,m];case 7:return[2,setdiff1dAsync(getParamValue("x",e,t,a),getParamValue("y",e,t,a))];case 8:throw TypeError("Node type "+e.op+" is not implemented")}})})},executeOp$6=function(e,t,a){switch(e.op){case"TopKV2":var r=getParamValue("x",e,t,a),n=getParamValue("k",e,t,a),s=getParamValue("sorted",e,t,a),o=topk(r,n,s);return[o.values,o.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$7=function(e,t,a){switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var r=getParamValue("default",e,t,a);return[getTensor(e.name,t,a)||r];case"Placeholder":return[getTensor(e.name,t,a)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[getParamValue("x",e,t,a).clone()];case"IdentityN":return getParamValue("x",e,t,a).map(function(e){return e.clone()});case"Snapshot":return[getParamValue("x",e,t,a).clone()];case"Shape":return[tensor1d(getParamValue("x",e,t,a).shape,"int32")];case"ShapeN":return getParamValue("x",e,t,a).map(function(e){return tensor1d(e.shape)});case"Size":return[scalar(getParamValue("x",e,t,a).size,"int32")];case"Rank":return[scalar(getParamValue("x",e,t,a).rank,"int32")];case"NoOp":return[scalar(1)];case"Print":var n=getParamValue("x",e,t,a),s=getParamValue("data",e,t,a),o=getParamValue("message",e,t,a),p=getParamValue("summarize",e,t,a);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<s.length;u++)console.log(Array.prototype.slice.call(s[u].dataSync()).slice(0,p));return[n];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$8=function(e,t,a){switch(e.op){case"ResizeBilinear":var r=getParamValue("images",e,t,a),n=getParamValue("size",e,t,a),s=getParamValue("alignCorners",e,t,a);return[image.resizeBilinear(r,[n[0],n[1]],s)];case"ResizeNearestNeighbor":r=getParamValue("images",e,t,a),n=getParamValue("size",e,t,a),s=getParamValue("alignCorners",e,t,a);return[image.resizeNearestNeighbor(r,[n[0],n[1]],s)];case"CropAndResize":var o=getParamValue("image",e,t,a),p=getParamValue("boxes",e,t,a),u=getParamValue("boxInd",e,t,a),i=getParamValue("cropSize",e,t,a),m=getParamValue("method",e,t,a),l=getParamValue("extrapolationValue",e,t,a);return[image.cropAndResize(o,p,u,i,m,l)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$9=function(e,t,a){switch(e.op){case"Equal":return[equal(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"NotEqual":return[notEqual(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Greater":return[greater(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"GreaterEqual":return[greaterEqual(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Less":return[less(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"LessEqual":return[lessEqual(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"LogicalAnd":return[logicalAnd(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"LogicalNot":return[logicalNot(getParamValue("a",e,t,a))];case"LogicalOr":return[logicalOr(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Select":return[where(getParamValue("condition",e,t,a),getParamValue("a",e,t,a),getParamValue("b",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$10=function(e,t,a){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[matMul(getParamValue("a",e,t,a),getParamValue("b",e,t,a),getParamValue("transposeA",e,t,a),getParamValue("transposeB",e,t,a))];case"Transpose":return[transpose(getParamValue("x",e,t,a),getParamValue("perm",e,t,a))];case"_FusedMatMul":var r=getParamValue("fusedOps",e,t,a),n=r[0],s=r[1],o="biasadd"===n,p="prelu"===s,u=getParamValue("numArgs",e,t,a);if(o){if(p&&2!==u)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!p&&1!==u)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var i=getParamValue("args",e,t,a),m=i[0],l=i[1];return[fused.matMul({a:getParamValue("a",e,t,a),b:getParamValue("b",e,t,a),transposeA:getParamValue("transposeA",e,t,a),transposeB:getParamValue("transposeB",e,t,a),bias:m,activation:s,preluActivationWeights:l})];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$11=function(e,t,a){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[batchNorm(getParamValue("x",e,t,a),getParamValue("mean",e,t,a),getParamValue("variance",e,t,a),getParamValue("offset",e,t,a),getParamValue("scale",e,t,a),getParamValue("epsilon",e,t,a))];case"LRN":return[localResponseNormalization(getParamValue("x",e,t,a),getParamValue("radius",e,t,a),getParamValue("bias",e,t,a),getParamValue("alpha",e,t,a),getParamValue("beta",e,t,a))];case"Softmax":return[softmax(getParamValue("x",e,t,a))];case"LogSoftmax":return[logSoftmax(getParamValue("x",e,t,a))];case"SparseToDense":return[sparseToDense(getParamValue("sparseIndices",e,t,a),getParamValue("outputShape",e,t,a),getParamValue("sparseValues",e,t,a),getParamValue("defaultValue",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$12=function(e,t,a){switch(e.op){case"Max":var r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[max(getParamValue("x",e,t,a),r,n)];case"Mean":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[mean(getParamValue("x",e,t,a),r,n)];case"Min":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[min(getParamValue("x",e,t,a),r,n)];case"Sum":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[sum(getParamValue("x",e,t,a),r,n)];case"All":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[all(getParamValue("x",e,t,a),r,n)];case"Any":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[any(getParamValue("x",e,t,a),r,n)];case"ArgMax":r=getParamValue("axis",e,t,a);return[argMax(getParamValue("x",e,t,a),r)];case"ArgMin":r=getParamValue("axis",e,t,a);return[argMin(getParamValue("x",e,t,a),r)];case"Prod":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[prod(getParamValue("x",e,t,a),r,n)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$13=function(e,t,a){switch(e.op){case"ConcatV2":case"Concat":var r=getParamValue("n",e,t,a),n=getParamValue("axis",e,t,a),s=getParamValue("tensors",e,t,a);return s=s.slice(0,r),[concat(s,n)];case"GatherV2":case"Gather":n=getParamValue("axis",e,t,a);var o=getParamValue("x",e,t,a),p=getParamValue("indices",e,t,a);return[gather(o,p.asType("int32"),n)];case"ReverseV2":case"Reverse":n=getParamValue("axis",e,t,a),o=getParamValue("x",e,t,a);return[reverse(o,n)];case"Slice":var u=getParamValue("begin",e,t,a),i=getParamValue("size",e,t,a);return[slice(getParamValue("x",e,t,a),u,i)];case"StridedSlice":u=getParamValue("begin",e,t,a);var m=getParamValue("end",e,t,a),l=getParamValue("strides",e,t,a),c=getParamValue("beginMask",e,t,a),d=getParamValue("endMask",e,t,a),y=getParamValue("ellipsisMask",e,t,a),f=getParamValue("newAxisMask",e,t,a),g=getParamValue("shrinkAxisMask",e,t,a),h=getParamValue("x",e,t,a);if(1===u.length&&h.shape.length>1)for(var N=1;N<h.shape.length;N++)u.push(0),m.push(h.shape[N]),l.push(l[0]);return[stridedSlice(h,u,m,l,c,d,y,f,g)];case"Pack":return tidy(function(){var r=getParamValue("axis",e,t,a),n=getParamValue("tensors",e,t,a),s=n[0].shape,o=n[0].squeeze().shape,p=n.map(function(e){var t=util.arraysEqual(e.shape,s);if(!t&&!util.arraysEqual(e.squeeze().shape,o))throw new Error("the input tensors shape does not match");return t?e:e.reshape(s)});return[stack(p,r)]});case"Unpack":return tidy(function(){var r=getParamValue("axis",e,t,a),n=getParamValue("tensor",e,t,a);return unstack(n,r)});case"Tile":var x=getParamValue("reps",e,t,a);return[tile(getParamValue("x",e,t,a),x)];case"Split":case"SplitV":n=getParamValue("axis",e,t,a);var V=getParamValue("numOrSizeSplits",e,t,a);return split(getParamValue("x",e,t,a),V,n);case"ScatterNd":p=getParamValue("indices",e,t,a);var b=getParamValue("values",e,t,a),P=getParamValue("shape",e,t,a);return[scatterND(p,b,P)];case"GatherNd":var T=getParamValue("x",e,t,a);p=getParamValue("indices",e,t,a);return[gatherND(T,p)];case"SparseToDense":p=getParamValue("sparseIndices",e,t,a),P=getParamValue("outputShape",e,t,a);var v=getParamValue("sparseValues",e,t,a),O=getParamValue("defaultValue",e,t,a);return[sparseToDense(p,v,P,v.dtype===O.dtype?O:O.asType(v.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$14=function(e,t,a){switch(e.op){case"FFT":return[fft(getParamValue("x",e,t,a))];case"IFFT":return[ifft(getParamValue("x",e,t,a))];case"RFFT":return[rfft(getParamValue("x",e,t,a))];case"IRFFT":return[irfft(getParamValue("x",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$15=function(e,t,a){switch(e.op){case"Cast":return[cast(getParamValue("x",e,t,a),getParamValue("dtype",e,t,a))];case"ExpandDims":var r=getParamValue("axis",e,t,a);return[expandDims(getParamValue("x",e,t,a),r)];case"Squeeze":r=getParamValue("axis",e,t,a);return[squeeze(getParamValue("x",e,t,a),r)];case"Reshape":return[reshape(getParamValue("x",e,t,a),getParamValue("shape",e,t,a))];case"PadV2":case"Pad":return[pad(getParamValue("x",e,t,a),split$1(getParamValue("padding",e,t,a),2),getParamValue("constantValue",e,t,a))];case"SpaceToBatchND":var n=getParamValue("blockShape",e,t,a),s=split$1(getParamValue("paddings",e,t,a),2);return[spaceToBatchND(getParamValue("x",e,t,a),n,s)];case"BatchToSpaceND":n=getParamValue("blockShape",e,t,a);var o=split$1(getParamValue("crops",e,t,a),2);return[batchToSpaceND(getParamValue("x",e,t,a),n,o)];case"DepthToSpace":var p=getParamValue("blockSize",e,t,a),u=getParamValue("dataFormat",e,t,a).toUpperCase();return[depthToSpace(getParamValue("x",e,t,a),p,u)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function executeOp$16(e,t,a){var r=function(e,t,a){switch(e.category){case"arithmetic":return tidy(function(){return executeOp(e,t,a)});case"basic_math":return tidy(function(){return executeOp$1(e,t,a)});case"control":return executeOp$2(e,t,a);case"convolution":return tidy(function(){return executeOp$3(e,t,a)});case"creation":return tidy(function(){return executeOp$4(e,t,a)});case"dynamic":return executeOp$5(e,t,a);case"evaluation":return tidy(function(){return executeOp$6(e,t,a)});case"image":return tidy(function(){return executeOp$8(e,t,a)});case"graph":return tidy(function(){return executeOp$7(e,t,a)});case"logical":return tidy(function(){return executeOp$9(e,t,a)});case"matrices":return tidy(function(){return executeOp$10(e,t,a)});case"normalization":return tidy(function(){return executeOp$11(e,t,a)});case"reduction":return tidy(function(){return executeOp$12(e,t,a)});case"slice_join":return tidy(function(){return executeOp$13(e,t,a)});case"spectral":return tidy(function(){return executeOp$14(e,t,a)});case"transformation":return tidy(function(){return executeOp$15(e,t,a)});case"custom":var r=getRegisteredOp(e.op);if(r&&r.customExecutor)return r.customExecutor(new NodeValueImpl(e,t,a));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,a);return r instanceof Promise?r.then(function(e){return[].concat(e)}):[].concat(r)}var ExecutionContext=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}();function getExecutionSubgraph(e,t,a){for(var r=new Set,n=[],s=null,o=null,p=new Set,u=Object.keys(e).map(function(e){return parseNodeName(e)[0]}),i=t.slice();i.length>0;){var m=i.pop();(isControlFlow(m)||isDynamicShape(m))&&null==s&&(o=(s=m).children.map(function(e){return e.name}).filter(function(e){return r.has(e)})),r.add(m.name),null==a[m.name]&&(-1===u.indexOf(m.name)&&(0!==m.inputs.length?m.inputs.forEach(function(e){p.has(e.name)||(p.add(e.name),i.push(e))}):n.push(m.name)))}return{inputs:e,outputs:t,usedNodes:r,missingInputs:n,dynamicNode:s,syncInputs:o}}function getNodesInTopologicalOrder(e,t,a){var r=a.usedNodes,n=a.inputs,s=[];Object.keys(n).map(function(e){return parseNodeName(e)[0]}).map(function(t){return e.nodes[t]}).forEach(function(e){r.has(e.name)&&s.push(e)}),e.weights.forEach(function(e){r.has(e.name)&&s.push(e)});for(var o=new Set,p=[];s.length>0;){var u=s.pop();o.add(u.name),t[u.name]||p.push(u),u.children.forEach(function(e){!o.has(e.name)&&r.has(e.name)&&e.inputs.every(function(e){return o.has(e.name)})&&s.push(e)})}return p}var CONTROL_FLOW_OPS=["Switch","Merge","Enter","Exit","NextIteration"],DYNAMIC_SHAPE_OPS=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function isControlFlow(e){return CONTROL_FLOW_OPS.indexOf(e.op)>=0}function isDynamicShape(e){return DYNAMIC_SHAPE_OPS.indexOf(e.op)>=0}var GraphExecutor=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=e.outputs,this._inputs=e.inputs,this._signature=e.signature}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this._inputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this._inputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this._outputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var a=e.map(function(e){return e.name}).sort(),r=t.map(function(e){return e.name}).sort();return a.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.prototype.compile=function(e,t){var a=getExecutionSubgraph(e,t,this.weightMap),r=a.missingInputs,n=a.dynamicNode,s=a.syncInputs;if(null!=n)throw new Error("This execution contains the node '"+n.name+"', which has the dynamic op '"+n.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+s+"]");if(r.length>0){var o=t.map(function(e){return e.name}),p=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+p+"]. Missing the following inputs: ["+r+"]")}return getNodesInTopologicalOrder(this.graph,this.weightMap,a)},e.prototype.execute=function(e,t){var a=this;e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var n=r.map(function(e){return a.graph.nodes[parseNodeName(e)[0]]}),s=t.map(function(e){return a.graph.nodes[parseNodeName(e)[0]]}),o=this.getCompilationKey(n,s),p=this.compiledMap.get(o);null==p&&(p=this.compile(e,s),this.compiledMap.set(o,p));var u={};return tidy(function(){var r=new ExecutionContext(a._weightMap,u),n=__assign({},a.weightMap);Object.keys(e).forEach(function(t){var a=parseNodeName(t),r=a[0],s=[];s[a[1]]=e[t],n[r]=s});for(var s=a.getFrozenTensorIds(n),o={},i=0;i<p.length;i++){var m=p[i];if(!n[m.name]){var l=executeOp$16(m,n,r);if(l instanceof Promise)throw new Error("The execution of the op '"+m.op+"' returned a promise. Please use model.executeAsync() instead.");n[m.name]=l,a.checkTensorForDisposal(m.name,m,n,r,s,t,o)}}return t.map(function(e){return getTensor(e,n,r)})})},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})}));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,a,r,n,s,o){"control"!==t.category&&-1===s.indexOf(e)&&(a[e].forEach(function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)}),t.inputs.forEach(function(e){if("control"!==e.category){var t=getTensorsForCurrentContenxt(e.name,a,r);null!=t&&t.forEach(function(e){if(e&&!n.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}})}}))},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,s,o,p,u=this;return __generator(this,function(i){switch(i.label){case 0:return e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t),a={},r=new ExecutionContext(this._weightMap,a),[4,this.executeWithControlFlow(e,r,t)];case 1:return n=i.sent(),s=t.map(function(e){return getTensor(e,n,r)}),o=new Set(s.map(function(e){return e.id})),p=new Set(Object.keys(e).map(function(t){return e[t].id})),Object.keys(n).forEach(function(e){n[e].forEach(function(e){!e||e.isDisposed||o.has(e.id)||p.has(e.id)||-1!==u.weightIds.indexOf(e.id)||e.dispose()})}),[2,s]}})})},e.prototype.executeWithControlFlow=function(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,s,o,p,u,i,m,l,c,d,y,f,g,h,N,x=this;return __generator(this,function(V){switch(V.label){case 0:r=Object.keys(e),n=r.map(function(e){return x.graph.nodes[parseNodeName(e)[0]]}),s=a.map(function(e){return x.graph.nodes[parseNodeName(e)[0]]}),o=getExecutionSubgraph(e,s,this.weightMap),p=o.usedNodes,u=o.missingInputs,i=o.dynamicNode,m=o.syncInputs,l=n.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),c=__assign({},this.weightMap),Object.keys(e).forEach(function(t){var a=parseNodeName(t),r=a[0],n=[];n[a[1]]=e[t],c[r]=n}),d={},y=this.getFrozenTensorIds(c),f={},V.label=1;case 1:return l.length>0?(g=this.processStack(n,l,t,c,f,y,a,d,p),[4,Promise.all(g)]):[3,3];case 2:return V.sent(),[3,1];case 3:if(null==i&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(h=s.filter(function(e){return!isControlFlow(e)&&!getTensor(e.name,c,t)}).map(function(e){return e.name})).length>0)throw N="",null!=i&&(N="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+m+"]"),new Error("Cannot compute the outputs ["+h+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+u+"]. "+N);return[2,c]}})})},e.prototype.processStack=function(e,t,a,r,n,s,o,p,u){for(var i=this,m=[],l=function(){var l=t.pop();a.currentContext=l.contexts;var d="";if("Enter"===l.node.op&&getParamValue("isConstant",l.node,r,a)&&(d=getNodeNameAndIndex(l.node.name,a)[0]),-1===e.indexOf(l.node)){var y=executeOp$16(l.node,r,a);d||(d=getNodeNameAndIndex(l.node.name,a)[0]);var f=a.currentContext;y instanceof Promise?m.push(y.then(function(e){return r[d]=e,a.currentContext=f,i.checkTensorForDisposal(d,l.node,r,a,s,o,p),i.processChildNodes(l.node,t,a,r,n,u),e})):(r[d]=y,c.checkTensorForDisposal(d,l.node,r,a,s,o,p),c.processChildNodes(l.node,t,a,r,n,u))}else c.processChildNodes(l.node,t,a,r,n,u)},c=this;t.length>0;)l();return m},e.prototype.processChildNodes=function(e,t,a,r,n,s){e.children.forEach(function(e){var o=getNodeNameAndIndex(e.name,a)[0];!n[o]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e){var t=this;Object.keys(e).forEach(function(a){var r=e[a],n=parseNodeName(a)[0],s=t.graph.nodes[n];if(s.attrParams.shape&&s.attrParams.shape.value){var o=s.attrParams.shape.value,p=o.length===r.shape.length&&r.shape.every(function(e,t){return-1===o[t]||o[t]===e});util.assert(p,function(){return"The shape of dict['"+s.name+"'] provided in model.execute(dict) must be ["+o+"], but was ["+r.shape+"]"})}s.attrParams.dtype&&s.attrParams.dtype.value&&util.assert(r.dtype===s.attrParams.dtype.value,function(){return"The dtype of dict['"+s.name+"'] provided in model.execute(dict) must be "+s.attrParams.dtype.value+", but was "+r.dtype})})},e.prototype.mapInputs=function(e){var t={};for(var a in e){if(null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[a])t[this._signature.inputs[a].name]=e[a];else t[a]=e[a]}return t},e.prototype.checkInputs=function(e){var t=this,a=Object.keys(e).filter(function(e){var a=parseNodeName(e)[0];return null==t.graph.nodes[a]});if(a.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+a+"] that are not part of graph")},e.prototype.mapOutputs=function(e){var t=this;return e.map(function(e){return null!=t._signature&&null!=t._signature.outputs&&null!=t._signature.outputs[e]?t._signature.outputs[e].name:e},{})},e.prototype.checkOutputs=function(e){var t=this;e.forEach(function(e){var a=parseNodeName(e)[0];if(!t.graph.nodes[a])throw new Error("The output '"+e+"' is not found in the graph")})},e}(),TFHUB_SEARCH_PARAM="?tfjs-format=file",DEFAULT_MODEL_NAME="model.json",GraphModel=function(){function e(e,t){void 0===t&&(t={}),this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={})}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=io.browserHTTPRequest(e,this.loadOptions);else{var t=io.getLoadHandlers(e,this.loadOptions.onProgress);if(0===t.length)t.push(io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,a,r;return __generator(this,function(n){switch(n.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return e=this,[4,this.handler.load()];case 1:return e.artifacts=n.sent(),t=this.artifacts.modelTopology,a={},null!=this.artifacts.userDefinedMetadata&&(a=this.artifacts.userDefinedMetadata.signature),this.version=t.versions.producer+"."+t.versions.minConsumer,r=io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs),this.executor=new GraphExecutor(OperationMapper.Instance.transformGraph(t,a)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),[2,!0]}})})},e.prototype.save=function(e,t){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(a){if("string"==typeof e){if(0===(t=io.getSaveHandlers(e)).length)throw new Error("Cannot find any save handlers for URL '"+e+"'");if(t.length>1)throw new Error("Found more than one ("+t.length+") save handlers for URL '"+e+"'");e=t[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,e.save(this.artifacts)]})})},e.prototype.predict=function(e,t){return this.execute(e,this.outputNodes)},e.prototype.normalizeInputs=function(e){if(!(e instanceof Tensor||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,the graph model has "+this.inputNodes.length+" placeholders, while there are "+e.length+" input tensors.");return this.inputNodes.reduce(function(t,a,r){return t[a]=e[r],t},{})},e.prototype.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},e.prototype.execute=function(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var a=this.executor.execute(e,t);return a.length>1?a:a[0]},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a;return __generator(this,function(r){switch(r.label){case 0:return e=this.normalizeInputs(e),t=this.normalizeOutputs(t),[4,this.executor.executeAsync(e,t)];case 1:return[2,(a=r.sent()).length>1?a:a[0]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();function loadGraphModel(e,t){return void 0===t&&(t={}),__awaiter(this,void 0,void 0,function(){var a;return __generator(this,function(r){switch(r.label){case 0:if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==t&&(t={}),t.fromTFHub&&null==e.load&&(e.endsWith("/")||(e+="/"),e=""+e+DEFAULT_MODEL_NAME+TFHUB_SEARCH_PARAM),[4,(a=new GraphModel(e,t)).load()];case 1:return r.sent(),[2,a]}})})}var version="1.7.2";export{GraphModel,loadGraphModel,deregisterOp,registerOp,version as version_converter};
+import{env,concat,slice,stack,tensor,tidy,unstack,util,io,Tensor,add,addN,mod,mul,div,divNoNan,floorDiv,sub,minimum,maximum,pow,squaredDifference,abs,acos,acosh,asin,asinh,atan,atan2,atanh,ceil,complex,cos,cosh,elu,erf,exp,expm1,floor,log,log1p,imag,neg,reciprocal,real,relu,round,selu,sigmoid,sin,sign,sinh,softplus,sqrt,square,tanh,tan,clipByValue,rsqrt,prod,leakyRelu,prelu,scalar,conv1d,conv2d,fused,conv2dTranspose,depthwiseConv2d,conv3d,avgPool,maxPool,maxPoolWithArgmax,avgPool3d,maxPool3d,fill,linspace,multinomial,oneHot,ones,onesLike,randomUniform,range,truncatedNormal,zeros,zerosLike,image,whereAsync,setdiff1dAsync,topk,tensor1d,equal,notEqual,greater,greaterEqual,less,lessEqual,logicalAnd,logicalNot,logicalOr,where,matMul,transpose,batchNorm,localResponseNormalization,softmax,logSoftmax,sparseToDense,max,mean,min,sum,all,any,argMax,argMin,gather,reverse,stridedSlice,tile,split,scatterND,gatherND,fft,ifft,rfft,irfft,cast,expandDims,squeeze,reshape,pad,spaceToBatchND,batchToSpaceND,depthToSpace}from"@tensorflow/tfjs-core";var DataType,SaverDef,__assign=function(){return(__assign=Object.assign||function(e){for(var t,a=1,r=arguments.length;a<r;a++)for(var n in t=arguments[a])Object.prototype.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e}).apply(this,arguments)};function __awaiter(e,t,a,r){return new(a||(a=Promise))(function(n,s){function o(e){try{u(r.next(e))}catch(e){s(e)}}function p(e){try{u(r.throw(e))}catch(e){s(e)}}function u(e){e.done?n(e.value):new a(function(t){t(e.value)}).then(o,p)}u((r=r.apply(e,t||[])).next())})}function __generator(e,t){var a,r,n,s,o={label:0,sent:function(){if(1&n[0])throw n[1];return n[1]},trys:[],ops:[]};return s={next:p(0),throw:p(1),return:p(2)},"function"==typeof Symbol&&(s[Symbol.iterator]=function(){return this}),s;function p(s){return function(p){return function(s){if(a)throw new TypeError("Generator is already executing.");for(;o;)try{if(a=1,r&&(n=2&s[0]?r.return:s[0]?r.throw||((n=r.return)&&n.call(r),0):r.next)&&!(n=n.call(r,s[1])).done)return n;switch(r=0,n&&(s=[2&s[0],n.value]),s[0]){case 0:case 1:n=s;break;case 4:return o.label++,{value:s[1],done:!1};case 5:o.label++,r=s[1],s=[0];continue;case 7:s=o.ops.pop(),o.trys.pop();continue;default:if(!(n=(n=o.trys).length>0&&n[n.length-1])&&(6===s[0]||2===s[0])){o=0;continue}if(3===s[0]&&(!n||s[1]>n[0]&&s[1]<n[3])){o.label=s[1];break}if(6===s[0]&&o.label<n[1]){o.label=n[1],n=s;break}if(n&&o.label<n[2]){o.label=n[2],o.ops.push(s);break}n[2]&&o.ops.pop(),o.trys.pop();continue}s=t.call(e,o)}catch(e){s=[6,e],r=0}finally{a=n=0}if(5&s[0])throw s[1];return{value:s[0]?s[1]:void 0,done:!0}}([s,p])}}}!function(e){e[e.DT_INVALID=0]="DT_INVALID",e[e.DT_FLOAT=1]="DT_FLOAT",e[e.DT_DOUBLE=2]="DT_DOUBLE",e[e.DT_INT32=3]="DT_INT32",e[e.DT_UINT8=4]="DT_UINT8",e[e.DT_INT16=5]="DT_INT16",e[e.DT_INT8=6]="DT_INT8",e[e.DT_STRING=7]="DT_STRING",e[e.DT_COMPLEX64=8]="DT_COMPLEX64",e[e.DT_INT64=9]="DT_INT64",e[e.DT_BOOL=10]="DT_BOOL",e[e.DT_QINT8=11]="DT_QINT8",e[e.DT_QUINT8=12]="DT_QUINT8",e[e.DT_QINT32=13]="DT_QINT32",e[e.DT_BFLOAT16=14]="DT_BFLOAT16",e[e.DT_FLOAT_REF=101]="DT_FLOAT_REF",e[e.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",e[e.DT_INT32_REF=103]="DT_INT32_REF",e[e.DT_UINT8_REF=104]="DT_UINT8_REF",e[e.DT_INT16_REF=105]="DT_INT16_REF",e[e.DT_INT8_REF=106]="DT_INT8_REF",e[e.DT_STRING_REF=107]="DT_STRING_REF",e[e.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",e[e.DT_INT64_REF=109]="DT_INT64_REF",e[e.DT_BOOL_REF=110]="DT_BOOL_REF",e[e.DT_QINT8_REF=111]="DT_QINT8_REF",e[e.DT_QUINT8_REF=112]="DT_QUINT8_REF",e[e.DT_QINT32_REF=113]="DT_QINT32_REF",e[e.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF"}(DataType||(DataType={})),function(e){!function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"}(e.CheckpointFormatVersion||(e.CheckpointFormatVersion={}))}(SaverDef||(SaverDef={}));var CUSTOM_OPS={};function registerOp(e,t){var a={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};CUSTOM_OPS[e]=a}function getRegisteredOp(e){return CUSTOM_OPS[e]}function deregisterOp(e){delete CUSTOM_OPS[e]}function getParamValue(e,t,a,r){var n=t.inputParams[e];if(n&&void 0!==n.inputIndexStart){var s=n.inputIndexStart,o=0===n.inputIndexEnd?void 0:void 0===n.inputIndexEnd?s+1:n.inputIndexEnd;if("tensor"===n.type)return getTensor(t.inputNames[n.inputIndexStart],a,r);if("tensors"===n.type)return t.inputNames.slice(s,o).map(function(e){return getTensor(e,a,r)});var p=Array.prototype.slice.call(getTensor(t.inputNames.slice(s)[0],a,r).dataSync());return"number"===n.type?p[0]:p}var u=t.attrParams[e];return u&&u.value}function getTensor(e,t,a){var r=parseNodeName(e),n=r[0],s=r[1],o=a.currentContextIds.find(function(e){return!!t[getNodeNameWithContextId(n,e)]});return void 0!==o?t[getNodeNameWithContextId(n,o)][s]:void 0}function getTensorsForCurrentContenxt(e,t,a){return t[getNodeNameWithContextId(e,a.currentContextId)]}function getNodeNameAndIndex(e,t){var a=parseNodeName(e),r=a[0],n=a[1];return[getNodeNameWithContextId(r,t&&t.currentContextId),n]}function getNodeNameWithContextId(e,t){return t?e+"-"+t:e}function parseNodeName(e){var t=e.lastIndexOf(":");return-1===t?[e,0]:[e.substring(0,t),Number(e.substring(t+1))]}function split$1(e,t){for(var a=[],r=0;r<e.length;r+=t)a.push(e.slice(r,r+t));return a}var json=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],arithmetic=Object.freeze({json:json}),json$1=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"clip_value_min",name:"clipValueMin",type:"number"},{tfName:"clip_value_max",name:"clipValueMax",type:"number"}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"clipValueMin",name:"clipValueMin",type:"number",defaultValue:0},{tfName:"clipValueMax",name:"clipValueMax",type:"number",defaultValue:6}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],basicMath=Object.freeze({json:json$1}),json$2=[{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"st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0===(n=getBoolParam(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=getBoolParam(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"bool[]":void 0===(n=getBoolArrayParam(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=getBoolArrayParam(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"shape":void 0===(n=getTensorShapeParam(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=getTensorShapeParam(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"shape[]":void 0===(n=getTensorShapeArrayParam(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=getTensorShapeArrayParam(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"dtype":void 0===(n=getDtypeParam(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=getDtypeParam(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"dtype[]":void 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Missing built-in atob() or Buffer()")}function parseStringParam(e,t){var a=Array.isArray(e)?String.fromCharCode.apply(null,e):decodeBase64(e);return t?a:a.toLowerCase()}function getStringParam(e,t,a,r){void 0===r&&(r=!1);var n=e[t];return null!=n?parseStringParam(n.s,r):a}function getBoolParam(e,t,a){var r=e[t];return r?r.b:a}function getNumberParam(e,t,a){var r=e[t]||{},n=null!=r.i?r.i:null!=r.f?r.f:a;return"number"==typeof n?n:parseInt(n,10)}function parseDtypeParam(e){switch("string"==typeof e&&(e=DataType[e]),e){case DataType.DT_FLOAT:return"float32";case DataType.DT_INT32:case DataType.DT_INT64:case DataType.DT_INT8:case DataType.DT_UINT8:return"int32";case DataType.DT_BOOL:return"bool";case DataType.DT_DOUBLE:return"float32";case DataType.DT_STRING:return"string";default:return null}}function getDtypeParam(e,t,a){var r=e[t];return r&&r.type?parseDtypeParam(r.type):a}function getDtypeArrayParam(e,t,a){var r=e[t];return r&&r.list&&r.list.type?r.list.type.map(function(e){return parseDtypeParam(e)}):a}function parseTensorShapeParam(e){if(!e.unknownRank)return null!=e.dim?e.dim.map(function(e){return"number"==typeof e.size?e.size:parseInt(e.size,10)}):[]}function getTensorShapeParam(e,t,a){var r=e[t];return r&&r.shape?parseTensorShapeParam(r.shape):a}function getNumericArrayParam(e,t,a){var r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map(function(e){return"number"==typeof e?e:parseInt(e,10)}):a}function getStringArrayParam(e,t,a,r){void 0===r&&(r=!1);var n=e[t];return n&&n.list&&n.list.s?n.list.s.map(function(e){return parseStringParam(e,r)}):a}function getTensorShapeArrayParam(e,t,a){var r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map(function(e){return parseTensorShapeParam(e)}):a}function getBoolArrayParam(e,t,a){var r=e[t];return r&&r.list&&r.list.b?r.list.b:a}var NodeValueImpl=function(){function e(e,t,a){var r=this;this.node=e,this.tensorMap=t,this.context=a,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(function(e){return r.getInput(e)}),null!=e.rawAttrs&&(this.attrs=Object.keys(e.rawAttrs).reduce(function(e,t){return e[t]=r.getAttr(t),e},{}))}return e.prototype.getInput=function(e){return getTensor(e,this.tensorMap,this.context)},e.prototype.getAttr=function(e,t){var a=this.node.rawAttrs[e];if(null!=a.tensor)return getTensor(e,this.tensorMap,this.context);if(null!=a.i||null!=a.f)return getNumberParam(this.node.rawAttrs,e,t);if(null!=a.s)return getStringParam(this.node.rawAttrs,e,t);if(null!=a.b)return getBoolParam(this.node.rawAttrs,e,t);if(null!=a.shape)return getTensorShapeParam(this.node.rawAttrs,e,t);if(null!=a.type)return getDtypeParam(this.node.rawAttrs,e,t);if(null!=a.list){if(null!=a.list.i||null!=a.list.f)return getNumericArrayParam(this.node.rawAttrs,e,t);if(null!=a.list.s)return getStringArrayParam(this.node.rawAttrs,e,t);if(null!=a.list.shape)return getTensorShapeArrayParam(this.node.rawAttrs,e,t);if(null!=a.list.b)return getBoolArrayParam(this.node.rawAttrs,e,t);if(null!=a.list.type)return getDtypeArrayParam(this.node.rawAttrs,e,t)}return t},e}(),executeOp=function(e,t,a){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[add(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"AddN":return[addN(getParamValue("tensors",e,t,a))];case"FloorMod":case"Mod":return[mod(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Mul":return[mul(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"RealDiv":case"Div":return[div(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"DivNoNan":return[divNoNan(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"FloorDiv":return[floorDiv(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Sub":return[sub(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Minimum":return[minimum(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Maximum":return[maximum(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Pow":return[pow(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"SquaredDifference":return[squaredDifference(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$1=function(e,t,a){switch(e.op){case"Abs":case"ComplexAbs":return[abs(getParamValue("x",e,t,a))];case"Acos":return[acos(getParamValue("x",e,t,a))];case"Acosh":return[acosh(getParamValue("x",e,t,a))];case"Asin":return[asin(getParamValue("x",e,t,a))];case"Asinh":return[asinh(getParamValue("x",e,t,a))];case"Atan":return[atan(getParamValue("x",e,t,a))];case"Atan2":return[atan2(getParamValue("x",e,t,a),getParamValue("y",e,t,a))];case"Atanh":return[atanh(getParamValue("x",e,t,a))];case"Ceil":return[ceil(getParamValue("x",e,t,a))];case"Complex":return[complex(getParamValue("real",e,t,a),getParamValue("imag",e,t,a))];case"Cos":return[cos(getParamValue("x",e,t,a))];case"Cosh":return[cosh(getParamValue("x",e,t,a))];case"Elu":return[elu(getParamValue("x",e,t,a))];case"Erf":return[erf(getParamValue("x",e,t,a))];case"Exp":return[exp(getParamValue("x",e,t,a))];case"Expm1":return[expm1(getParamValue("x",e,t,a))];case"Floor":return[floor(getParamValue("x",e,t,a))];case"Log":return[log(getParamValue("x",e,t,a))];case"Log1p":return[log1p(getParamValue("x",e,t,a))];case"Imag":return[imag(getParamValue("x",e,t,a))];case"Neg":return[neg(getParamValue("x",e,t,a))];case"Reciprocal":return[reciprocal(getParamValue("x",e,t,a))];case"Real":return[real(getParamValue("x",e,t,a))];case"Relu":return[relu(getParamValue("x",e,t,a))];case"Round":return[round(getParamValue("x",e,t,a))];case"Selu":return[selu(getParamValue("x",e,t,a))];case"Sigmoid":return[sigmoid(getParamValue("x",e,t,a))];case"Sin":return[sin(getParamValue("x",e,t,a))];case"Sign":return[sign(getParamValue("x",e,t,a))];case"Sinh":return[sinh(getParamValue("x",e,t,a))];case"Softplus":return[softplus(getParamValue("x",e,t,a))];case"Sqrt":return[sqrt(getParamValue("x",e,t,a))];case"Square":return[square(getParamValue("x",e,t,a))];case"Tanh":return[tanh(getParamValue("x",e,t,a))];case"Tan":return[tan(getParamValue("x",e,t,a))];case"Relu6":case"ClipByValue":return[clipByValue(getParamValue("x",e,t,a),getParamValue("clipValueMin",e,t,a),getParamValue("clipValueMax",e,t,a))];case"Rsqrt":return[rsqrt(getTensor(e.inputNames[0],t,a))];case"Prod":return[prod(getParamValue("x",e,t,a),getParamValue("axes",e,t,a))];case"LeakyRelu":return[leakyRelu(getParamValue("x",e,t,a),getParamValue("alpha",e,t,a))];case"Prelu":return[prelu(getParamValue("x",e,t,a),getParamValue("alpha",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},TensorArray=function(){function e(t,a,r,n,s,o,p){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=o,this.clearAfterRead=p,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.tensors.length)throw new Error("Tried to read from index "+e+", but array size is: "+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),a&&a.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been read.");if(a&&a.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been written.");a.tensor=t,a.written=!0,this.tensors[e]=a},e.prototype.writeMany=function(e,t){var a=this;if(e.length!==t.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+e.length+" is not the same as tensors size: "+t.length+".");e.forEach(function(e,r){return a.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+t);if(!e){e=[];for(var a=0;a<this.size();a++)e.push(a)}if(0===e.length)return tensor([],[0].concat(this.elementShape));var r=this.readMany(e);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),stack(r,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return tensor([],[0].concat(this.elementShape));for(var t=[],a=0;a<this.size();a++)t.push(a);var r=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),concat(r,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+t.shape[0]);var a=Math.max.apply(Math,e);if(!this.dynamicSize&&a>=this.maxSize)throw new Error("Max index must be < array size ("+a+"  vs. "+this.maxSize+")");this.writeMany(e,unstack(t,0))},e.prototype.split=function(e,t){var a=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);var r=0,n=e.map(function(e){return r+=e});if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var s=0===r?0:t.size/r,o=[];tidy(function(){t=t.reshape([1,r,s]);for(var p=0;p<e.length;++p){var u=[0,0===p?0:n[p-1],0],i=[1,e[p],s];o[p]=slice(t,u,i).reshape(a.elementShape)}return o});for(var p=[],u=0;u<e.length;u++)p[u]=u;this.writeMany(p,o)},e.prototype.assertShapesMatchAllowUndefinedSize=function(e,t,a){void 0===a&&(a=""),util.assert(this.shapesEqualAllowUndefinedSize(e,t),function(){return a+" Shapes "+e+" and "+t+" must match"})},e.prototype.shapesEqualAllowUndefinedSize=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}(),_this=void 0,executeOp$2=function(e,t,a){return __awaiter(_this,void 0,void 0,function(){var r,n,s,o,p,u,i,m,l,c,d,y,f,g,h,N,x,V,b,P,T,v,O,S,_,w,A,D,E,I,M,C,k,z,F;return __generator(this,function(j){switch(j.label){case 0:switch(e.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[getParamValue("pred",e,t,a).clone()]];case 2:return r=getParamValue("pred",e,t,a),n=getParamValue("data",e,t,a),[4,r.data()];case 3:return[2,j.sent()[0]?[void 0,n.clone()]:[n.clone(),void 0]];case 4:return[2,(s=e.inputNames.find(function(e){return void 0!==getTensor(e,t,a)}))?[getTensor(s,t,a).clone()]:void 0];case 5:return o=getParamValue("frameName",e,t,a),p=getParamValue("tensor",e,t,a),a.enterFrame(o),[2,[p.clone()]];case 6:return u=getParamValue("tensor",e,t,a),a.exitFrame(),[2,[u.clone()]];case 7:return i=getParamValue("tensor",e,t,a),a.nextIteration(),[2,[i.clone()]];case 8:return m=getParamValue("size",e,t,a),l=getParamValue("dtype",e,t,a),c=getParamValue("elementShape",e,t,a),d=getParamValue("dynamicSize",e,t,a),y=getParamValue("clearAfterRead",e,t,a),f=getParamValue("identicalElementShapes",e,t,a),g=getParamValue("name",e,t,a),h=new TensorArray(g,l,m,c,f,d,y),a.addTensorArray(h),[2,[scalar(h.id),scalar(1)]];case 9:return N=getParamValue("tensorArrayId",e,t,a),x=getParamValue("index",e,t,a),V=getParamValue("tensor",e,t,a),a.getTensorArray(N).write(x,V),[2,[scalar(1)]];case 10:return b=getParamValue("tensorArrayId",e,t,a),P=getParamValue("index",e,t,a),[2,[a.getTensorArray(b).read(P)]];case 11:return T=getParamValue("tensorArrayId",e,t,a),v=getParamValue("indices",e,t,a),O=getParamValue("dtype",e,t,a),[2,[a.getTensorArray(T).gather(v,O)]];case 12:return S=getParamValue("tensorArrayId",e,t,a),_=getParamValue("indices",e,t,a),w=getParamValue("tensor",e,t,a),a.getTensorArray(S).scatter(_,w),[2,[scalar(1)]];case 13:return A=getParamValue("tensorArrayId",e,t,a),D=a.getTensorArray(A),E=getParamValue("dtype",e,t,a),[2,[D.concat(E)]];case 14:return I=getParamValue("tensorArrayId",e,t,a),M=getParamValue("tensor",e,t,a),C=getParamValue("lengths",e,t,a),a.getTensorArray(I).split(C,M),[2,[scalar(1)]];case 15:return k=getParamValue("tensorArrayId",e,t,a),z=a.getTensorArray(k),[2,[scalar(z.size(),"int32")]];case 16:return F=getParamValue("tensorArrayId",e,t,a),a.getTensorArray(F).clearAndClose(),[2,[scalar(0)]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})},executeOp$3=function(e,t,a){switch(e.op){case"Conv1D":var r=getParamValue("stride",e,t,a),n=getParamValue("pad",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase(),o=getParamValue("dilation",e,t,a);return[conv1d(getParamValue("x",e,t,a),getParamValue("filter",e,t,a),r,n,s,o)];case"Conv2D":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase();var p=getParamValue("dilations",e,t,a);return[conv2d(getParamValue("x",e,t,a),getParamValue("filter",e,t,a),[r[1],r[2]],n,s,[p[1],p[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var u=getParamValue("fusedOps",e,t,a),i=u[0],m=u[1],l="biasadd"===i,c="prelu"===m,d="fusedbatchnorm"===i,y=getParamValue("numArgs",e,t,a);if(l){if(c&&2!==y)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!c&&1!==y)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(d)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase(),p=getParamValue("dilations",e,t,a);var f=getParamValue("args",e,t,a),g=f[0],h=f[1];return[("_FusedConv2D"===e.op?fused.conv2d:fused.depthwiseConv2d)({x:getParamValue("x",e,t,a),filter:getParamValue("filter",e,t,a),strides:[r[1],r[2]],pad:n,dataFormat:s,dilations:[p[1],p[2]],bias:g,activation:m,preluActivationWeights:h})];case"Conv2DBackpropInput":case"Conv2dTranspose":var N=getParamValue("outputShape",e,t,a);r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a);return[conv2dTranspose(getParamValue("x",e,t,a),getParamValue("filter",e,t,a),N,[r[1],r[2]],n)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),p=getParamValue("dilations",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase();return[depthwiseConv2d(getParamValue("input",e,t,a),getParamValue("filter",e,t,a),[r[1],r[2]],n,s,[p[1],p[2]])];case"Conv3D":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),s=getParamValue("dataFormat",e,t,a).toUpperCase(),p=getParamValue("dilations",e,t,a);return[conv3d(getParamValue("x",e,t,a),getParamValue("filter",e,t,a),[r[1],r[2],r[3]],n,s,[p[1],p[2],p[3]])];case"AvgPool":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a);var x=getParamValue("kernelSize",e,t,a);return[avgPool(getParamValue("x",e,t,a),[x[1],x[2]],[r[1],r[2]],n)];case"MaxPool":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),x=getParamValue("kernelSize",e,t,a);return[maxPool(getParamValue("x",e,t,a),[x[1],x[2]],[r[1],r[2]],n)];case"MaxPoolWithArgmax":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),x=getParamValue("kernelSize",e,t,a);var V=getParamValue("includeBatchInIndex",e,t,a),b=maxPoolWithArgmax(getParamValue("x",e,t,a),[x[1],x[2]],[r[1],r[2]],n,V);return[b.result,b.indexes];case"AvgPool3D":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),x=getParamValue("kernelSize",e,t,a);return[avgPool3d(getParamValue("x",e,t,a),[x[1],x[2],x[3]],[r[1],r[2],r[3]],n)];case"MaxPool3D":r=getParamValue("strides",e,t,a),n=getParamValue("pad",e,t,a),x=getParamValue("kernelSize",e,t,a);return[maxPool3d(getParamValue("x",e,t,a),[x[1],x[2],x[3]],[r[1],r[2],r[3]],n)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$4=function(e,t,a){switch(e.op){case"Fill":var r=getParamValue("shape",e,t,a),n=getParamValue("dtype",e,t,a),s=getParamValue("value",e,t,a);return[fill(r,s,n)];case"LinSpace":var o=getParamValue("start",e,t,a),p=getParamValue("stop",e,t,a),u=getParamValue("num",e,t,a);return[linspace(o,p,u)];case"Multinomial":var i=getParamValue("logits",e,t,a),m=getParamValue("numSamples",e,t,a),l=getParamValue("seed",e,t,a);return[multinomial(i,m,l)];case"OneHot":var c=getParamValue("indices",e,t,a),d=getParamValue("depth",e,t,a),y=getParamValue("onValue",e,t,a),f=getParamValue("offValue",e,t,a);return[oneHot(c,d,y,f)];case"Ones":return[ones(getParamValue("shape",e,t,a),getParamValue("dtype",e,t,a))];case"OnesLike":return[onesLike(getParamValue("x",e,t,a))];case"RandomUniform":return[randomUniform(getParamValue("shape",e,t,a),getParamValue("minval",e,t,a),getParamValue("maxval",e,t,a),getParamValue("dtype",e,t,a))];case"Range":o=getParamValue("start",e,t,a);var g=getParamValue("stop",e,t,a),h=getParamValue("step",e,t,a);return[range(o,g,h,getParamValue("dtype",e,t,a))];case"TruncatedNormal":r=getParamValue("shape",e,t,a);var N=getParamValue("mean",e,t,a),x=getParamValue("stdDev",e,t,a);l=getParamValue("seed",e,t,a);return[truncatedNormal(r,N,x,getParamValue("dtype",e,t,a),l)];case"Zeros":return[zeros(getParamValue("shape",e,t,a),getParamValue("dtype",e,t,a))];case"ZerosLike":return[zerosLike(getParamValue("x",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},_this$1=void 0,executeOp$5=function(e,t,a){return __awaiter(_this$1,void 0,void 0,function(){var r,n,s,o,p,u,i,m;return __generator(this,function(l){switch(l.label){case 0:switch(e.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return r=getParamValue("boxes",e,t,a),n=getParamValue("scores",e,t,a),s=getParamValue("maxOutputSize",e,t,a),o=getParamValue("iouThreshold",e,t,a),p=getParamValue("scoreThreshold",e,t,a),"NonMaxSuppressionV5"!==e.op?[3,3]:(u=getParamValue("softNmsSigma",e,t,a),[4,image.nonMaxSuppressionWithScoreAsync(r,n,s,o,p,u)]);case 2:return[2,[(m=l.sent()).selectedIndices,m.selectedScores]];case 3:return[4,image.nonMaxSuppressionAsync(r,n,s,o,p)];case 4:return[2,[l.sent()]];case 5:return i=getParamValue("condition",e,t,a).asType("bool"),[4,whereAsync(i)];case 6:return m=[l.sent()],i.dispose(),[2,m];case 7:return[2,setdiff1dAsync(getParamValue("x",e,t,a),getParamValue("y",e,t,a))];case 8:throw TypeError("Node type "+e.op+" is not implemented")}})})},executeOp$6=function(e,t,a){switch(e.op){case"TopKV2":var r=getParamValue("x",e,t,a),n=getParamValue("k",e,t,a),s=getParamValue("sorted",e,t,a),o=topk(r,n,s);return[o.values,o.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$7=function(e,t,a){switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var r=getParamValue("default",e,t,a);return[getTensor(e.name,t,a)||r];case"Placeholder":return[getTensor(e.name,t,a)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[getParamValue("x",e,t,a).clone()];case"IdentityN":return getParamValue("x",e,t,a).map(function(e){return e.clone()});case"Snapshot":return[getParamValue("x",e,t,a).clone()];case"Shape":return[tensor1d(getParamValue("x",e,t,a).shape,"int32")];case"ShapeN":return getParamValue("x",e,t,a).map(function(e){return tensor1d(e.shape)});case"Size":return[scalar(getParamValue("x",e,t,a).size,"int32")];case"Rank":return[scalar(getParamValue("x",e,t,a).rank,"int32")];case"NoOp":return[scalar(1)];case"Print":var n=getParamValue("x",e,t,a),s=getParamValue("data",e,t,a),o=getParamValue("message",e,t,a),p=getParamValue("summarize",e,t,a);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<s.length;u++)console.log(Array.prototype.slice.call(s[u].dataSync()).slice(0,p));return[n];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$8=function(e,t,a){switch(e.op){case"ResizeBilinear":var r=getParamValue("images",e,t,a),n=getParamValue("size",e,t,a),s=getParamValue("alignCorners",e,t,a);return[image.resizeBilinear(r,[n[0],n[1]],s)];case"ResizeNearestNeighbor":r=getParamValue("images",e,t,a),n=getParamValue("size",e,t,a),s=getParamValue("alignCorners",e,t,a);return[image.resizeNearestNeighbor(r,[n[0],n[1]],s)];case"CropAndResize":var o=getParamValue("image",e,t,a),p=getParamValue("boxes",e,t,a),u=getParamValue("boxInd",e,t,a),i=getParamValue("cropSize",e,t,a),m=getParamValue("method",e,t,a),l=getParamValue("extrapolationValue",e,t,a);return[image.cropAndResize(o,p,u,i,m,l)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$9=function(e,t,a){switch(e.op){case"Equal":return[equal(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"NotEqual":return[notEqual(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Greater":return[greater(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"GreaterEqual":return[greaterEqual(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Less":return[less(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"LessEqual":return[lessEqual(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"LogicalAnd":return[logicalAnd(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"LogicalNot":return[logicalNot(getParamValue("a",e,t,a))];case"LogicalOr":return[logicalOr(getParamValue("a",e,t,a),getParamValue("b",e,t,a))];case"Select":case"SelectV2":return[where(getParamValue("condition",e,t,a),getParamValue("a",e,t,a),getParamValue("b",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$10=function(e,t,a){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[matMul(getParamValue("a",e,t,a),getParamValue("b",e,t,a),getParamValue("transposeA",e,t,a),getParamValue("transposeB",e,t,a))];case"Transpose":return[transpose(getParamValue("x",e,t,a),getParamValue("perm",e,t,a))];case"_FusedMatMul":var r=getParamValue("fusedOps",e,t,a),n=r[0],s=r[1],o="biasadd"===n,p="prelu"===s,u=getParamValue("numArgs",e,t,a);if(o){if(p&&2!==u)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!p&&1!==u)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var i=getParamValue("args",e,t,a),m=i[0],l=i[1];return[fused.matMul({a:getParamValue("a",e,t,a),b:getParamValue("b",e,t,a),transposeA:getParamValue("transposeA",e,t,a),transposeB:getParamValue("transposeB",e,t,a),bias:m,activation:s,preluActivationWeights:l})];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$11=function(e,t,a){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[batchNorm(getParamValue("x",e,t,a),getParamValue("mean",e,t,a),getParamValue("variance",e,t,a),getParamValue("offset",e,t,a),getParamValue("scale",e,t,a),getParamValue("epsilon",e,t,a))];case"LRN":return[localResponseNormalization(getParamValue("x",e,t,a),getParamValue("radius",e,t,a),getParamValue("bias",e,t,a),getParamValue("alpha",e,t,a),getParamValue("beta",e,t,a))];case"Softmax":return[softmax(getParamValue("x",e,t,a))];case"LogSoftmax":return[logSoftmax(getParamValue("x",e,t,a))];case"SparseToDense":return[sparseToDense(getParamValue("sparseIndices",e,t,a),getParamValue("outputShape",e,t,a),getParamValue("sparseValues",e,t,a),getParamValue("defaultValue",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$12=function(e,t,a){switch(e.op){case"Max":var r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[max(getParamValue("x",e,t,a),r,n)];case"Mean":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[mean(getParamValue("x",e,t,a),r,n)];case"Min":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[min(getParamValue("x",e,t,a),r,n)];case"Sum":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[sum(getParamValue("x",e,t,a),r,n)];case"All":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[all(getParamValue("x",e,t,a),r,n)];case"Any":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[any(getParamValue("x",e,t,a),r,n)];case"ArgMax":r=getParamValue("axis",e,t,a);return[argMax(getParamValue("x",e,t,a),r)];case"ArgMin":r=getParamValue("axis",e,t,a);return[argMin(getParamValue("x",e,t,a),r)];case"Prod":r=getParamValue("axis",e,t,a),n=getParamValue("keepDims",e,t,a);return[prod(getParamValue("x",e,t,a),r,n)];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$13=function(e,t,a){switch(e.op){case"ConcatV2":case"Concat":var r=getParamValue("n",e,t,a),n=getParamValue("axis",e,t,a),s=getParamValue("tensors",e,t,a);return s=s.slice(0,r),[concat(s,n)];case"GatherV2":case"Gather":n=getParamValue("axis",e,t,a);var o=getParamValue("x",e,t,a),p=getParamValue("indices",e,t,a);return[gather(o,p.asType("int32"),n)];case"ReverseV2":case"Reverse":n=getParamValue("axis",e,t,a),o=getParamValue("x",e,t,a);return[reverse(o,n)];case"Slice":var u=getParamValue("begin",e,t,a),i=getParamValue("size",e,t,a);return[slice(getParamValue("x",e,t,a),u,i)];case"StridedSlice":u=getParamValue("begin",e,t,a);var m=getParamValue("end",e,t,a),l=getParamValue("strides",e,t,a),c=getParamValue("beginMask",e,t,a),d=getParamValue("endMask",e,t,a),y=getParamValue("ellipsisMask",e,t,a),f=getParamValue("newAxisMask",e,t,a),g=getParamValue("shrinkAxisMask",e,t,a),h=getParamValue("x",e,t,a);if(1===u.length&&h.shape.length>1)for(var N=1;N<h.shape.length;N++)u.push(0),m.push(h.shape[N]),l.push(l[0]);return[stridedSlice(h,u,m,l,c,d,y,f,g)];case"Pack":return tidy(function(){var r=getParamValue("axis",e,t,a),n=getParamValue("tensors",e,t,a),s=n[0].shape,o=n[0].squeeze().shape,p=n.map(function(e){var t=util.arraysEqual(e.shape,s);if(!t&&!util.arraysEqual(e.squeeze().shape,o))throw new Error("the input tensors shape does not match");return t?e:e.reshape(s)});return[stack(p,r)]});case"Unpack":return tidy(function(){var r=getParamValue("axis",e,t,a),n=getParamValue("tensor",e,t,a);return unstack(n,r)});case"Tile":var x=getParamValue("reps",e,t,a);return[tile(getParamValue("x",e,t,a),x)];case"Split":case"SplitV":n=getParamValue("axis",e,t,a);var V=getParamValue("numOrSizeSplits",e,t,a);return split(getParamValue("x",e,t,a),V,n);case"ScatterNd":p=getParamValue("indices",e,t,a);var b=getParamValue("values",e,t,a),P=getParamValue("shape",e,t,a);return[scatterND(p,b,P)];case"GatherNd":var T=getParamValue("x",e,t,a);p=getParamValue("indices",e,t,a);return[gatherND(T,p)];case"SparseToDense":p=getParamValue("sparseIndices",e,t,a),P=getParamValue("outputShape",e,t,a);var v=getParamValue("sparseValues",e,t,a),O=getParamValue("defaultValue",e,t,a);return[sparseToDense(p,v,P,v.dtype===O.dtype?O:O.asType(v.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$14=function(e,t,a){switch(e.op){case"FFT":return[fft(getParamValue("x",e,t,a))];case"IFFT":return[ifft(getParamValue("x",e,t,a))];case"RFFT":return[rfft(getParamValue("x",e,t,a))];case"IRFFT":return[irfft(getParamValue("x",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},executeOp$15=function(e,t,a){switch(e.op){case"Cast":return[cast(getParamValue("x",e,t,a),getParamValue("dtype",e,t,a))];case"ExpandDims":var r=getParamValue("axis",e,t,a);return[expandDims(getParamValue("x",e,t,a),r)];case"Squeeze":r=getParamValue("axis",e,t,a);return[squeeze(getParamValue("x",e,t,a),r)];case"Reshape":return[reshape(getParamValue("x",e,t,a),getParamValue("shape",e,t,a))];case"PadV2":case"Pad":return[pad(getParamValue("x",e,t,a),split$1(getParamValue("padding",e,t,a),2),getParamValue("constantValue",e,t,a))];case"SpaceToBatchND":var n=getParamValue("blockShape",e,t,a),s=split$1(getParamValue("paddings",e,t,a),2);return[spaceToBatchND(getParamValue("x",e,t,a),n,s)];case"BatchToSpaceND":n=getParamValue("blockShape",e,t,a);var o=split$1(getParamValue("crops",e,t,a),2);return[batchToSpaceND(getParamValue("x",e,t,a),n,o)];case"DepthToSpace":var p=getParamValue("blockSize",e,t,a),u=getParamValue("dataFormat",e,t,a).toUpperCase();return[depthToSpace(getParamValue("x",e,t,a),p,u)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function executeOp$16(e,t,a){var r=function(e,t,a){switch(e.category){case"arithmetic":return tidy(function(){return executeOp(e,t,a)});case"basic_math":return tidy(function(){return executeOp$1(e,t,a)});case"control":return executeOp$2(e,t,a);case"convolution":return tidy(function(){return executeOp$3(e,t,a)});case"creation":return tidy(function(){return executeOp$4(e,t,a)});case"dynamic":return executeOp$5(e,t,a);case"evaluation":return tidy(function(){return executeOp$6(e,t,a)});case"image":return tidy(function(){return executeOp$8(e,t,a)});case"graph":return tidy(function(){return executeOp$7(e,t,a)});case"logical":return tidy(function(){return executeOp$9(e,t,a)});case"matrices":return tidy(function(){return executeOp$10(e,t,a)});case"normalization":return tidy(function(){return executeOp$11(e,t,a)});case"reduction":return tidy(function(){return executeOp$12(e,t,a)});case"slice_join":return tidy(function(){return executeOp$13(e,t,a)});case"spectral":return tidy(function(){return executeOp$14(e,t,a)});case"transformation":return tidy(function(){return executeOp$15(e,t,a)});case"custom":var r=getRegisteredOp(e.op);if(r&&r.customExecutor)return r.customExecutor(new NodeValueImpl(e,t,a));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,a);return r instanceof Promise?r.then(function(e){return[].concat(e)}):[].concat(r)}var ExecutionContext=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}();function getExecutionSubgraph(e,t,a){for(var r=new Set,n=[],s=null,o=null,p=new Set,u=Object.keys(e).map(function(e){return parseNodeName(e)[0]}),i=t.slice();i.length>0;){var m=i.pop();(isControlFlow(m)||isDynamicShape(m))&&null==s&&(o=(s=m).children.map(function(e){return e.name}).filter(function(e){return r.has(e)})),r.add(m.name),null==a[m.name]&&(-1===u.indexOf(m.name)&&(0!==m.inputs.length?m.inputs.forEach(function(e){p.has(e.name)||(p.add(e.name),i.push(e))}):n.push(m.name)))}return{inputs:e,outputs:t,usedNodes:r,missingInputs:n,dynamicNode:s,syncInputs:o}}function getNodesInTopologicalOrder(e,t,a){var r=a.usedNodes,n=a.inputs,s=[];Object.keys(n).map(function(e){return parseNodeName(e)[0]}).map(function(t){return e.nodes[t]}).forEach(function(e){r.has(e.name)&&s.push(e)}),e.weights.forEach(function(e){r.has(e.name)&&s.push(e)});for(var o=new Set,p=[];s.length>0;){var u=s.pop();o.add(u.name),t[u.name]||p.push(u),u.children.forEach(function(e){!o.has(e.name)&&r.has(e.name)&&e.inputs.every(function(e){return o.has(e.name)})&&s.push(e)})}return p}var CONTROL_FLOW_OPS=["Switch","Merge","Enter","Exit","NextIteration"],DYNAMIC_SHAPE_OPS=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function isControlFlow(e){return CONTROL_FLOW_OPS.indexOf(e.op)>=0}function isDynamicShape(e){return DYNAMIC_SHAPE_OPS.indexOf(e.op)>=0}var GraphExecutor=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=e.outputs,this._inputs=e.inputs,this._signature=e.signature}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this._inputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this._inputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this._outputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var a=e.map(function(e){return e.name}).sort(),r=t.map(function(e){return e.name}).sort();return a.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.prototype.compile=function(e,t){var a=getExecutionSubgraph(e,t,this.weightMap),r=a.missingInputs,n=a.dynamicNode,s=a.syncInputs;if(null!=n)throw new Error("This execution contains the node '"+n.name+"', which has the dynamic op '"+n.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+s+"]");if(r.length>0){var o=t.map(function(e){return e.name}),p=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+p+"]. Missing the following inputs: ["+r+"]")}return getNodesInTopologicalOrder(this.graph,this.weightMap,a)},e.prototype.execute=function(e,t){var a=this;e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var n=r.map(function(e){return a.graph.nodes[parseNodeName(e)[0]]}),s=t.map(function(e){return a.graph.nodes[parseNodeName(e)[0]]}),o=this.getCompilationKey(n,s),p=this.compiledMap.get(o);null==p&&(p=this.compile(e,s),this.compiledMap.set(o,p));var u={};return tidy(function(){var r=new ExecutionContext(a._weightMap,u),n=__assign({},a.weightMap);Object.keys(e).forEach(function(t){var a=parseNodeName(t),r=a[0],s=[];s[a[1]]=e[t],n[r]=s});for(var s=a.getFrozenTensorIds(n),o={},i=0;i<p.length;i++){var m=p[i];if(!n[m.name]){var l=executeOp$16(m,n,r);if(l instanceof Promise)throw new Error("The execution of the op '"+m.op+"' returned a promise. Please use model.executeAsync() instead.");n[m.name]=l,a.checkTensorForDisposal(m.name,m,n,r,s,t,o)}}return t.map(function(e){return getTensor(e,n,r)})})},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})}));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,a,r,n,s,o){"control"!==t.category&&-1===s.indexOf(e)&&(a[e].forEach(function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)}),t.inputs.forEach(function(e){if("control"!==e.category){var t=getTensorsForCurrentContenxt(e.name,a,r);null!=t&&t.forEach(function(e){if(e&&!n.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}})}}))},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a,r,n,s,o,p,u=this;return __generator(this,function(i){switch(i.label){case 0:return e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t),a={},r=new ExecutionContext(this._weightMap,a),[4,this.executeWithControlFlow(e,r,t)];case 1:return n=i.sent(),s=t.map(function(e){return getTensor(e,n,r)}),o=new Set(s.map(function(e){return e.id})),p=new Set(Object.keys(e).map(function(t){return e[t].id})),Object.keys(n).forEach(function(e){n[e].forEach(function(e){!e||e.isDisposed||o.has(e.id)||p.has(e.id)||-1!==u.weightIds.indexOf(e.id)||e.dispose()})}),[2,s]}})})},e.prototype.executeWithControlFlow=function(e,t,a){return __awaiter(this,void 0,void 0,function(){var r,n,s,o,p,u,i,m,l,c,d,y,f,g,h,N,x=this;return __generator(this,function(V){switch(V.label){case 0:r=Object.keys(e),n=r.map(function(e){return x.graph.nodes[parseNodeName(e)[0]]}),s=a.map(function(e){return x.graph.nodes[parseNodeName(e)[0]]}),o=getExecutionSubgraph(e,s,this.weightMap),p=o.usedNodes,u=o.missingInputs,i=o.dynamicNode,m=o.syncInputs,l=n.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),c=__assign({},this.weightMap),Object.keys(e).forEach(function(t){var a=parseNodeName(t),r=a[0],n=[];n[a[1]]=e[t],c[r]=n}),d={},y=this.getFrozenTensorIds(c),f={},V.label=1;case 1:return l.length>0?(g=this.processStack(n,l,t,c,f,y,a,d,p),[4,Promise.all(g)]):[3,3];case 2:return V.sent(),[3,1];case 3:if(null==i&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(h=s.filter(function(e){return!isControlFlow(e)&&!getTensor(e.name,c,t)}).map(function(e){return e.name})).length>0)throw N="",null!=i&&(N="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+m+"]"),new Error("Cannot compute the outputs ["+h+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+u+"]. "+N);return[2,c]}})})},e.prototype.processStack=function(e,t,a,r,n,s,o,p,u){for(var i=this,m=[],l=function(){var l=t.pop();a.currentContext=l.contexts;var d="";if("Enter"===l.node.op&&getParamValue("isConstant",l.node,r,a)&&(d=getNodeNameAndIndex(l.node.name,a)[0]),-1===e.indexOf(l.node)){var y=executeOp$16(l.node,r,a);d||(d=getNodeNameAndIndex(l.node.name,a)[0]);var f=a.currentContext;y instanceof Promise?m.push(y.then(function(e){return r[d]=e,a.currentContext=f,i.checkTensorForDisposal(d,l.node,r,a,s,o,p),i.processChildNodes(l.node,t,a,r,n,u),e})):(r[d]=y,c.checkTensorForDisposal(d,l.node,r,a,s,o,p),c.processChildNodes(l.node,t,a,r,n,u))}else c.processChildNodes(l.node,t,a,r,n,u)},c=this;t.length>0;)l();return m},e.prototype.processChildNodes=function(e,t,a,r,n,s){e.children.forEach(function(e){var o=getNodeNameAndIndex(e.name,a)[0];!n[o]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!getTensor(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e){var t=this;Object.keys(e).forEach(function(a){var r=e[a],n=parseNodeName(a)[0],s=t.graph.nodes[n];if(s.attrParams.shape&&s.attrParams.shape.value){var o=s.attrParams.shape.value,p=o.length===r.shape.length&&r.shape.every(function(e,t){return-1===o[t]||o[t]===e});util.assert(p,function(){return"The shape of dict['"+s.name+"'] provided in model.execute(dict) must be ["+o+"], but was ["+r.shape+"]"})}s.attrParams.dtype&&s.attrParams.dtype.value&&util.assert(r.dtype===s.attrParams.dtype.value,function(){return"The dtype of dict['"+s.name+"'] provided in model.execute(dict) must be "+s.attrParams.dtype.value+", but was "+r.dtype})})},e.prototype.mapInputs=function(e){var t={};for(var a in e){if(null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[a])t[this._signature.inputs[a].name]=e[a];else t[a]=e[a]}return t},e.prototype.checkInputs=function(e){var t=this,a=Object.keys(e).filter(function(e){var a=parseNodeName(e)[0];return null==t.graph.nodes[a]});if(a.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+a+"] that are not part of graph")},e.prototype.mapOutputs=function(e){var t=this;return e.map(function(e){return null!=t._signature&&null!=t._signature.outputs&&null!=t._signature.outputs[e]?t._signature.outputs[e].name:e},{})},e.prototype.checkOutputs=function(e){var t=this;e.forEach(function(e){var a=parseNodeName(e)[0];if(!t.graph.nodes[a])throw new Error("The output '"+e+"' is not found in the graph")})},e}(),TFHUB_SEARCH_PARAM="?tfjs-format=file",DEFAULT_MODEL_NAME="model.json",GraphModel=function(){function e(e,t){void 0===t&&(t={}),this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={})}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=io.browserHTTPRequest(e,this.loadOptions);else{var t=io.getLoadHandlers(e,this.loadOptions.onProgress);if(0===t.length)t.push(io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},e.prototype.load=function(){return __awaiter(this,void 0,void 0,function(){var e,t,a,r;return __generator(this,function(n){switch(n.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return e=this,[4,this.handler.load()];case 1:return e.artifacts=n.sent(),t=this.artifacts.modelTopology,a={},null!=this.artifacts.userDefinedMetadata&&(a=this.artifacts.userDefinedMetadata.signature),this.version=t.versions.producer+"."+t.versions.minConsumer,r=io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs),this.executor=new GraphExecutor(OperationMapper.Instance.transformGraph(t,a)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),[2,!0]}})})},e.prototype.save=function(e,t){return __awaiter(this,void 0,void 0,function(){var t;return __generator(this,function(a){if("string"==typeof e){if(0===(t=io.getSaveHandlers(e)).length)throw new Error("Cannot find any save handlers for URL '"+e+"'");if(t.length>1)throw new Error("Found more than one ("+t.length+") save handlers for URL '"+e+"'");e=t[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,e.save(this.artifacts)]})})},e.prototype.predict=function(e,t){return this.execute(e,this.outputNodes)},e.prototype.normalizeInputs=function(e){if(!(e instanceof Tensor||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,the graph model has "+this.inputNodes.length+" placeholders, while there are "+e.length+" input tensors.");return this.inputNodes.reduce(function(t,a,r){return t[a]=e[r],t},{})},e.prototype.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},e.prototype.execute=function(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var a=this.executor.execute(e,t);return a.length>1?a:a[0]},e.prototype.executeAsync=function(e,t){return __awaiter(this,void 0,void 0,function(){var a;return __generator(this,function(r){switch(r.label){case 0:return e=this.normalizeInputs(e),t=this.normalizeOutputs(t),[4,this.executor.executeAsync(e,t)];case 1:return[2,(a=r.sent()).length>1?a:a[0]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();function loadGraphModel(e,t){return void 0===t&&(t={}),__awaiter(this,void 0,void 0,function(){var a;return __generator(this,function(r){switch(r.label){case 0:if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==t&&(t={}),t.fromTFHub&&null==e.load&&(e.endsWith("/")||(e+="/"),e=""+e+DEFAULT_MODEL_NAME+TFHUB_SEARCH_PARAM),[4,(a=new GraphModel(e,t)).load()];case 1:return r.sent(),[2,a]}})})}var version="1.7.4";export{GraphModel,loadGraphModel,deregisterOp,registerOp,version as version_converter};
 //# sourceMappingURL=tf-converter.esm.js.map
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.esm.js.map b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.esm.js.map
index 627463ee1..42277d4e0 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.esm.js.map
+++ b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.esm.js.map
@@ -1 +1 @@
-{"version":3,"file":"tf-converter.esm.js","sources":["../src/data/compiled_api.ts","../src/operations/custom_op/register.ts","../src/operations/executors/utils.ts","../src/operations/op_list/arithmetic.ts","../src/operations/op_list/basic_math.ts","../src/operations/op_list/control.ts","../src/operations/op_list/convolution.ts","../src/operations/op_list/creation.ts","../src/operations/op_list/dynamic.ts","../src/operations/op_list/evaluation.ts","../src/operations/op_list/graph.ts","../src/operations/op_list/image.ts","../src/operations/op_list/logical.ts","../src/operations/op_list/matrices.ts","../src/operations/op_list/normalization.ts","../src/operations/op_list/reduction.ts","../src/operations/op_list/slice_join.ts","../src/operations/op_list/spectral.ts","../src/operations/op_list/transformation.ts","../src/operations/operation_mapper.ts","../src/operations/custom_op/node_value_impl.ts","../src/operations/executors/arithmetic_executor.ts","../src/operations/executors/basic_math_executor.ts","../src/executor/tensor_array.ts","../src/operations/executors/control_executor.ts","../src/operations/executors/convolution_executor.ts","../src/operations/executors/creation_executor.ts","../src/operations/executors/dynamic_executor.ts","../src/operations/executors/evaluation_executor.ts","../src/operations/executors/graph_executor.ts","../src/operations/executors/image_executor.ts","../src/operations/executors/logical_executor.ts","../src/operations/executors/matrices_executor.ts","../src/operations/executors/normalization_executor.ts","../src/operations/executors/reduction_executor.ts","../src/operations/executors/slice_join_executor.ts","../src/operations/executors/spectral_executor.ts","../src/operations/executors/transformation_executor.ts","../src/operations/operation_executor.ts","../src/executor/execution_context.ts","../src/executor/model_analysis.ts","../src/executor/graph_executor.ts","../src/executor/graph_model.ts","../src/version.ts"],"sourcesContent":["/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPoolWithArgmax',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'}, {\n        'tfName': 'include_batch_in_index',\n        'name': 'includeBatchInIndex',\n        'type': 'bool'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n    case tensorflow.DataType.DT_INT8:\n    case tensorflow.DataType.DT_UINT8:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Conv1D': {\n      const stride =\n          getParamValue('stride', node, tensorMap, context) as number;\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilation =\n          getParamValue('dilation', node, tensorMap, context) as number;\n      return [tfc.conv1d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n          stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n          dilation)];\n    }\n    case 'Conv2D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv2d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case '_FusedConv2D':\n    case 'FusedDepthwiseConv2dNative': {\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n      const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n              'must have two extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n              'one extra argument: bias.');\n        }\n      }\n      if (isBatchNorm) {\n        throw new Error(\n            'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n      }\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      const kernelMethod = node.op === '_FusedConv2D' ?\n          tfc.fused.conv2d :\n          tfc.fused.depthwiseConv2d;\n      return [kernelMethod({\n        x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n            tfc.Tensor4D,\n        filter: getParamValue('filter', node, tensorMap, context) as\n            tfc.Tensor4D,\n        strides: [stride[1], stride[2]],\n        pad: pad as 'valid' | 'same',\n        dataFormat: dataFormat as 'NHWC' | 'NCHW',\n        dilations: [dilations[1], dilations[2]],\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n    }\n    case 'Conv2DBackpropInput':\n    case 'Conv2dTranspose': {\n      const shape = getParamValue(\n                        'outputShape', node, tensorMap,\n                        context) as [number, number, number] |\n          [number, number, number, number];\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      return [tfc.conv2dTranspose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n    }\n    case 'DepthwiseConv2dNative':\n    case 'DepthwiseConv2d': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n\n      return [tfc.depthwiseConv2d(\n          getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case 'Conv3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n              tfc.Tensor<tfc.Rank.R5>,\n          getParamValue('filter', node, tensorMap, context) as\n              tfc.Tensor<tfc.Rank.R5>,\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n          dataFormat as 'NDHWC' | 'NCDHW',\n          [dilations[1], dilations[2], dilations[3]])];\n    }\n    case 'AvgPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPoolWithArgmax': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n      const includeBatchInIndex =\n          getParamValue('includeBatchInIndex', node, tensorMap, context) as\n          boolean;\n      const {result, indexes} = tfc.maxPoolWithArgmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same', includeBatchInIndex);\n      return [result, indexes];\n    }\n    case 'AvgPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    case 'MaxPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      const condition =\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool');\n      const result = [await tfc.whereAsync(condition)];\n      condition.dispose();\n      return result;\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return tfc.tidy(\n                () => arithmetic.executeOp(node, tensorMap, context));\n          case 'basic_math':\n            return tfc.tidy(\n                () => basicMath.executeOp(node, tensorMap, context));\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return tfc.tidy(\n                () => convolution.executeOp(node, tensorMap, context));\n          case 'creation':\n            return tfc.tidy(() => creation.executeOp(node, tensorMap, context));\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return tfc.tidy(\n                () => evaluation.executeOp(node, tensorMap, context));\n          case 'image':\n            return tfc.tidy(() => image.executeOp(node, tensorMap, context));\n          case 'graph':\n            return tfc.tidy(() => graph.executeOp(node, tensorMap, context));\n          case 'logical':\n            return tfc.tidy(() => logical.executeOp(node, tensorMap, context));\n          case 'matrices':\n            return tfc.tidy(() => matrices.executeOp(node, tensorMap, context));\n          case 'normalization':\n            return tfc.tidy(\n                () => normalization.executeOp(node, tensorMap, context));\n          case 'reduction':\n            return tfc.tidy(\n                () => reduction.executeOp(node, tensorMap, context));\n          case 'slice_join':\n            return tfc.tidy(\n                () => sliceJoin.executeOp(node, tensorMap, context));\n          case 'spectral':\n            return tfc.tidy(() => spectral.executeOp(node, tensorMap, context));\n          case 'transformation':\n            return tfc.tidy(\n                () => transformation.executeOp(node, tensorMap, context));\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.2';\nexport 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\ No newline at end of file
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPoolWithArgmax',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'}, {\n        'tfName': 'include_batch_in_index',\n        'name': 'includeBatchInIndex',\n        'type': 'bool'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SelectV2',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n    case tensorflow.DataType.DT_INT8:\n    case tensorflow.DataType.DT_UINT8:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Conv1D': {\n      const stride =\n          getParamValue('stride', node, tensorMap, context) as number;\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilation =\n          getParamValue('dilation', node, tensorMap, context) as number;\n      return [tfc.conv1d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n          stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n          dilation)];\n    }\n    case 'Conv2D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv2d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case '_FusedConv2D':\n    case 'FusedDepthwiseConv2dNative': {\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n      const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n              'must have two extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n              'one extra argument: bias.');\n        }\n      }\n      if (isBatchNorm) {\n        throw new Error(\n            'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n      }\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      const kernelMethod = node.op === '_FusedConv2D' ?\n          tfc.fused.conv2d :\n          tfc.fused.depthwiseConv2d;\n      return [kernelMethod({\n        x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n            tfc.Tensor4D,\n        filter: getParamValue('filter', node, tensorMap, context) as\n            tfc.Tensor4D,\n        strides: [stride[1], stride[2]],\n        pad: pad as 'valid' | 'same',\n        dataFormat: dataFormat as 'NHWC' | 'NCHW',\n        dilations: [dilations[1], dilations[2]],\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n    }\n    case 'Conv2DBackpropInput':\n    case 'Conv2dTranspose': {\n      const shape = getParamValue(\n                        'outputShape', node, tensorMap,\n                        context) as [number, number, number] |\n          [number, number, number, number];\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      return [tfc.conv2dTranspose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n    }\n    case 'DepthwiseConv2dNative':\n    case 'DepthwiseConv2d': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n\n      return [tfc.depthwiseConv2d(\n          getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case 'Conv3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n              tfc.Tensor<tfc.Rank.R5>,\n          getParamValue('filter', node, tensorMap, context) as\n              tfc.Tensor<tfc.Rank.R5>,\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n          dataFormat as 'NDHWC' | 'NCDHW',\n          [dilations[1], dilations[2], dilations[3]])];\n    }\n    case 'AvgPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPoolWithArgmax': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n      const includeBatchInIndex =\n          getParamValue('includeBatchInIndex', node, tensorMap, context) as\n          boolean;\n      const {result, indexes} = tfc.maxPoolWithArgmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same', includeBatchInIndex);\n      return [result, indexes];\n    }\n    case 'AvgPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    case 'MaxPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      const condition =\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool');\n      const result = [await tfc.whereAsync(condition)];\n      condition.dispose();\n      return result;\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select':\n    case 'SelectV2': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return tfc.tidy(\n                () => arithmetic.executeOp(node, tensorMap, context));\n          case 'basic_math':\n            return tfc.tidy(\n                () => basicMath.executeOp(node, tensorMap, context));\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return tfc.tidy(\n                () => convolution.executeOp(node, tensorMap, context));\n          case 'creation':\n            return tfc.tidy(() => creation.executeOp(node, tensorMap, context));\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return tfc.tidy(\n                () => evaluation.executeOp(node, tensorMap, context));\n          case 'image':\n            return tfc.tidy(() => image.executeOp(node, tensorMap, context));\n          case 'graph':\n            return tfc.tidy(() => graph.executeOp(node, tensorMap, context));\n          case 'logical':\n            return tfc.tidy(() => logical.executeOp(node, tensorMap, context));\n          case 'matrices':\n            return tfc.tidy(() => matrices.executeOp(node, tensorMap, context));\n          case 'normalization':\n            return tfc.tidy(\n                () => normalization.executeOp(node, tensorMap, context));\n          case 'reduction':\n            return tfc.tidy(\n                () => reduction.executeOp(node, tensorMap, context));\n          case 'slice_join':\n            return tfc.tidy(\n                () => sliceJoin.executeOp(node, tensorMap, context));\n          case 'spectral':\n            return tfc.tidy(() => spectral.executeOp(node, tensorMap, context));\n          case 'transformation':\n            return tfc.tidy(\n                () => transformation.executeOp(node, tensorMap, context));\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.4';\nexport 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\ No newline at end of file
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.js b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.js
index a9bd04b65..0554aa10c 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.js
+++ b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.js
@@ -2065,6 +2065,18 @@
                 { 'start': 1, 'name': 'a', 'type': 'tensor' },
                 { 'start': 2, 'name': 'b', 'type': 'tensor' },
             ],
+            'attrs': [
+                { 'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true }
+            ]
+        },
+        {
+            'tfOpName': 'SelectV2',
+            'category': 'logical',
+            'inputs': [
+                { 'start': 0, 'name': 'condition', 'type': 'tensor' },
+                { 'start': 1, 'name': 'a', 'type': 'tensor' },
+                { 'start': 2, 'name': 'b', 'type': 'tensor' },
+            ],
             'attrs': [{
                     'tfName': 'T',
                     'name': 'dtype',
@@ -4346,7 +4358,8 @@
             case 'LogicalOr': {
                 return [tfc.logicalOr(getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];
             }
-            case 'Select': {
+            case 'Select':
+            case 'SelectV2': {
                 return [tfc.where(getParamValue('condition', node, tensorMap, context), getParamValue('a', node, tensorMap, context), getParamValue('b', node, tensorMap, context))];
             }
             default:
@@ -5923,7 +5936,7 @@
 
     /** @license See the LICENSE file. */
     // This code is auto-generated, do not modify this file!
-    var version = '1.7.2';
+    var version = '1.7.4';
 
     /**
      * @license
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.js.map b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.js.map
index ff711179f..632130fd7 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.js.map
+++ b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.js.map
@@ -1 +1 @@
-{"version":3,"file":"tf-converter.js","sources":["../src/data/compiled_api.ts","../src/operations/custom_op/register.ts","../src/operations/executors/utils.ts","../src/operations/op_list/arithmetic.ts","../src/operations/op_list/basic_math.ts","../src/operations/op_list/control.ts","../src/operations/op_list/convolution.ts","../src/operations/op_list/creation.ts","../src/operations/op_list/dynamic.ts","../src/operations/op_list/evaluation.ts","../src/operations/op_list/graph.ts","../src/operations/op_list/image.ts","../src/operations/op_list/logical.ts","../src/operations/op_list/matrices.ts","../src/operations/op_list/normalization.ts","../src/operations/op_list/reduction.ts","../src/operations/op_list/slice_join.ts","../src/operations/op_list/spectral.ts","../src/operations/op_list/transformation.ts","../src/operations/operation_mapper.ts","../src/operations/custom_op/node_value_impl.ts","../src/operations/executors/arithmetic_executor.ts","../src/operations/executors/basic_math_executor.ts","../src/executor/tensor_array.ts","../src/operations/executors/control_executor.ts","../src/operations/executors/convolution_executor.ts","../src/operations/executors/creation_executor.ts","../src/operations/executors/dynamic_executor.ts","../src/operations/executors/evaluation_executor.ts","../src/operations/executors/graph_executor.ts","../src/operations/executors/image_executor.ts","../src/operations/executors/logical_executor.ts","../src/operations/executors/matrices_executor.ts","../src/operations/executors/normalization_executor.ts","../src/operations/executors/reduction_executor.ts","../src/operations/executors/slice_join_executor.ts","../src/operations/executors/spectral_executor.ts","../src/operations/executors/transformation_executor.ts","../src/operations/operation_executor.ts","../src/executor/execution_context.ts","../src/executor/model_analysis.ts","../src/executor/graph_executor.ts","../src/executor/graph_model.ts","../src/version.ts","../src/index.ts"],"sourcesContent":["/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPoolWithArgmax',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'}, {\n        'tfName': 'include_batch_in_index',\n        'name': 'includeBatchInIndex',\n        'type': 'bool'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n    case tensorflow.DataType.DT_INT8:\n    case tensorflow.DataType.DT_UINT8:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Conv1D': {\n      const stride =\n          getParamValue('stride', node, tensorMap, context) as number;\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilation =\n          getParamValue('dilation', node, tensorMap, context) as number;\n      return [tfc.conv1d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n          stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n          dilation)];\n    }\n    case 'Conv2D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv2d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case '_FusedConv2D':\n    case 'FusedDepthwiseConv2dNative': {\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n      const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n              'must have two extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n              'one extra argument: bias.');\n        }\n      }\n      if (isBatchNorm) {\n        throw new Error(\n            'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n      }\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      const kernelMethod = node.op === '_FusedConv2D' ?\n          tfc.fused.conv2d :\n          tfc.fused.depthwiseConv2d;\n      return [kernelMethod({\n        x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n            tfc.Tensor4D,\n        filter: getParamValue('filter', node, tensorMap, context) as\n            tfc.Tensor4D,\n        strides: [stride[1], stride[2]],\n        pad: pad as 'valid' | 'same',\n        dataFormat: dataFormat as 'NHWC' | 'NCHW',\n        dilations: [dilations[1], dilations[2]],\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n    }\n    case 'Conv2DBackpropInput':\n    case 'Conv2dTranspose': {\n      const shape = getParamValue(\n                        'outputShape', node, tensorMap,\n                        context) as [number, number, number] |\n          [number, number, number, number];\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      return [tfc.conv2dTranspose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n    }\n    case 'DepthwiseConv2dNative':\n    case 'DepthwiseConv2d': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n\n      return [tfc.depthwiseConv2d(\n          getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case 'Conv3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n              tfc.Tensor<tfc.Rank.R5>,\n          getParamValue('filter', node, tensorMap, context) as\n              tfc.Tensor<tfc.Rank.R5>,\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n          dataFormat as 'NDHWC' | 'NCDHW',\n          [dilations[1], dilations[2], dilations[3]])];\n    }\n    case 'AvgPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPoolWithArgmax': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n      const includeBatchInIndex =\n          getParamValue('includeBatchInIndex', node, tensorMap, context) as\n          boolean;\n      const {result, indexes} = tfc.maxPoolWithArgmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same', includeBatchInIndex);\n      return [result, indexes];\n    }\n    case 'AvgPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    case 'MaxPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      const condition =\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool');\n      const result = [await tfc.whereAsync(condition)];\n      condition.dispose();\n      return result;\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return tfc.tidy(\n                () => arithmetic.executeOp(node, tensorMap, context));\n          case 'basic_math':\n            return tfc.tidy(\n                () => basicMath.executeOp(node, tensorMap, context));\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return tfc.tidy(\n                () => convolution.executeOp(node, tensorMap, context));\n          case 'creation':\n            return tfc.tidy(() => creation.executeOp(node, tensorMap, context));\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return tfc.tidy(\n                () => evaluation.executeOp(node, tensorMap, context));\n          case 'image':\n            return tfc.tidy(() => image.executeOp(node, tensorMap, context));\n          case 'graph':\n            return tfc.tidy(() => graph.executeOp(node, tensorMap, context));\n          case 'logical':\n            return tfc.tidy(() => logical.executeOp(node, tensorMap, context));\n          case 'matrices':\n            return tfc.tidy(() => matrices.executeOp(node, tensorMap, context));\n          case 'normalization':\n            return tfc.tidy(\n                () => normalization.executeOp(node, tensorMap, context));\n          case 'reduction':\n            return tfc.tidy(\n                () => reduction.executeOp(node, tensorMap, context));\n          case 'slice_join':\n            return tfc.tidy(\n                () => sliceJoin.executeOp(node, tensorMap, context));\n          case 'spectral':\n            return tfc.tidy(() => spectral.executeOp(node, tensorMap, context));\n          case 'transformation':\n            return tfc.tidy(\n                () => transformation.executeOp(node, tensorMap, context));\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.2';\nexport {version};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nexport {GraphModel, loadGraphModel} from './executor/graph_model';\nexport {deregisterOp, registerOp} from './operations/custom_op/register';\nexport {GraphNode, OpExecutor} from './operations/types';\nexport {version as version_converter} from 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\ No newline at end of file
+{"version":3,"file":"tf-converter.js","sources":["../src/data/compiled_api.ts","../src/operations/custom_op/register.ts","../src/operations/executors/utils.ts","../src/operations/op_list/arithmetic.ts","../src/operations/op_list/basic_math.ts","../src/operations/op_list/control.ts","../src/operations/op_list/convolution.ts","../src/operations/op_list/creation.ts","../src/operations/op_list/dynamic.ts","../src/operations/op_list/evaluation.ts","../src/operations/op_list/graph.ts","../src/operations/op_list/image.ts","../src/operations/op_list/logical.ts","../src/operations/op_list/matrices.ts","../src/operations/op_list/normalization.ts","../src/operations/op_list/reduction.ts","../src/operations/op_list/slice_join.ts","../src/operations/op_list/spectral.ts","../src/operations/op_list/transformation.ts","../src/operations/operation_mapper.ts","../src/operations/custom_op/node_value_impl.ts","../src/operations/executors/arithmetic_executor.ts","../src/operations/executors/basic_math_executor.ts","../src/executor/tensor_array.ts","../src/operations/executors/control_executor.ts","../src/operations/executors/convolution_executor.ts","../src/operations/executors/creation_executor.ts","../src/operations/executors/dynamic_executor.ts","../src/operations/executors/evaluation_executor.ts","../src/operations/executors/graph_executor.ts","../src/operations/executors/image_executor.ts","../src/operations/executors/logical_executor.ts","../src/operations/executors/matrices_executor.ts","../src/operations/executors/normalization_executor.ts","../src/operations/executors/reduction_executor.ts","../src/operations/executors/slice_join_executor.ts","../src/operations/executors/spectral_executor.ts","../src/operations/executors/transformation_executor.ts","../src/operations/operation_executor.ts","../src/executor/execution_context.ts","../src/executor/model_analysis.ts","../src/executor/graph_executor.ts","../src/executor/graph_model.ts","../src/version.ts","../src/index.ts"],"sourcesContent":["/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPoolWithArgmax',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'}, {\n        'tfName': 'include_batch_in_index',\n        'name': 'includeBatchInIndex',\n        'type': 'bool'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SelectV2',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n    case tensorflow.DataType.DT_INT8:\n    case tensorflow.DataType.DT_UINT8:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Conv1D': {\n      const stride =\n          getParamValue('stride', node, tensorMap, context) as number;\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilation =\n          getParamValue('dilation', node, tensorMap, context) as number;\n      return [tfc.conv1d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n          stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n          dilation)];\n    }\n    case 'Conv2D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv2d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case '_FusedConv2D':\n    case 'FusedDepthwiseConv2dNative': {\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n      const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n              'must have two extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n              'one extra argument: bias.');\n        }\n      }\n      if (isBatchNorm) {\n        throw new Error(\n            'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n      }\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      const kernelMethod = node.op === '_FusedConv2D' ?\n          tfc.fused.conv2d :\n          tfc.fused.depthwiseConv2d;\n      return [kernelMethod({\n        x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n            tfc.Tensor4D,\n        filter: getParamValue('filter', node, tensorMap, context) as\n            tfc.Tensor4D,\n        strides: [stride[1], stride[2]],\n        pad: pad as 'valid' | 'same',\n        dataFormat: dataFormat as 'NHWC' | 'NCHW',\n        dilations: [dilations[1], dilations[2]],\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n    }\n    case 'Conv2DBackpropInput':\n    case 'Conv2dTranspose': {\n      const shape = getParamValue(\n                        'outputShape', node, tensorMap,\n                        context) as [number, number, number] |\n          [number, number, number, number];\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      return [tfc.conv2dTranspose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n    }\n    case 'DepthwiseConv2dNative':\n    case 'DepthwiseConv2d': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n\n      return [tfc.depthwiseConv2d(\n          getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case 'Conv3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n              tfc.Tensor<tfc.Rank.R5>,\n          getParamValue('filter', node, tensorMap, context) as\n              tfc.Tensor<tfc.Rank.R5>,\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n          dataFormat as 'NDHWC' | 'NCDHW',\n          [dilations[1], dilations[2], dilations[3]])];\n    }\n    case 'AvgPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPoolWithArgmax': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n      const includeBatchInIndex =\n          getParamValue('includeBatchInIndex', node, tensorMap, context) as\n          boolean;\n      const {result, indexes} = tfc.maxPoolWithArgmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same', includeBatchInIndex);\n      return [result, indexes];\n    }\n    case 'AvgPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    case 'MaxPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      const condition =\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool');\n      const result = [await tfc.whereAsync(condition)];\n      condition.dispose();\n      return result;\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select':\n    case 'SelectV2': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return tfc.tidy(\n                () => arithmetic.executeOp(node, tensorMap, context));\n          case 'basic_math':\n            return tfc.tidy(\n                () => basicMath.executeOp(node, tensorMap, context));\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return tfc.tidy(\n                () => convolution.executeOp(node, tensorMap, context));\n          case 'creation':\n            return tfc.tidy(() => creation.executeOp(node, tensorMap, context));\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return tfc.tidy(\n                () => evaluation.executeOp(node, tensorMap, context));\n          case 'image':\n            return tfc.tidy(() => image.executeOp(node, tensorMap, context));\n          case 'graph':\n            return tfc.tidy(() => graph.executeOp(node, tensorMap, context));\n          case 'logical':\n            return tfc.tidy(() => logical.executeOp(node, tensorMap, context));\n          case 'matrices':\n            return tfc.tidy(() => matrices.executeOp(node, tensorMap, context));\n          case 'normalization':\n            return tfc.tidy(\n                () => normalization.executeOp(node, tensorMap, context));\n          case 'reduction':\n            return tfc.tidy(\n                () => reduction.executeOp(node, tensorMap, context));\n          case 'slice_join':\n            return tfc.tidy(\n                () => sliceJoin.executeOp(node, tensorMap, context));\n          case 'spectral':\n            return tfc.tidy(() => spectral.executeOp(node, tensorMap, context));\n          case 'transformation':\n            return tfc.tidy(\n                () => transformation.executeOp(node, tensorMap, context));\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.4';\nexport {version};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nexport {GraphModel, loadGraphModel} from './executor/graph_model';\nexport {deregisterOp, registerOp} from './operations/custom_op/register';\nexport {GraphNode, OpExecutor} from './operations/types';\nexport {version as version_converter} from 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\ No newline at end of file
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.min.js b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.min.js
index ef69db913..7d8fb1bed 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.min.js
+++ b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.min.js
@@ -14,5 +14,5 @@
  * limitations under the License.
  * =============================================================================
  */
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TensorArray index "+e+", because it has already been read.");if(a&&a.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been written.");a.tensor=t,a.written=!0,this.tensors[e]=a},e.prototype.writeMany=function(e,t){var a=this;if(e.length!==t.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+e.length+" is not the same as tensors size: "+t.length+".");e.forEach(function(e,r){return a.write(e,t[r])})},e.prototype.gather=function(e,a){if(a&&a!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+a);if(!e){e=[];for(var r=0;r<this.size();r++)e.push(r)}if(0===e.length)return t.tensor([],[0].concat(this.elementShape));var n=this.readMany(e);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),t.stack(n,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return t.tensor([],[0].concat(this.elementShape));for(var a=[],r=0;r<this.size();r++)a.push(r);var n=this.readMany(a);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,n[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+n[0].shape+")"),t.concat(n,0)},e.prototype.scatter=function(e,a){if(a.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+a.dtype);if(e.length!==a.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+a.shape[0]);var r=Math.max.apply(Math,e);if(!this.dynamicSize&&r>=this.maxSize)throw new Error("Max index must be < array size ("+r+"  vs. "+this.maxSize+")");this.writeMany(e,t.unstack(a,0))},e.prototype.split=function(e,a){var r=this;if(a.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+a.dtype);var n=0,s=e.map(function(e){return n+=e});if(n!==a.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+n+", and tensor's shape is: "+a.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var o=0===n?0:a.size/n,p=[];t.tidy(function(){a=a.reshape([1,n,o]);for(var i=0;i<e.length;++i){var u=[0,0===i?0:s[i-1],0],m=[1,e[i],o];p[i]=t.slice(a,u,m).reshape(r.elementShape)}return p});for(var i=[],u=0;u<e.length;u++)i[u]=u;this.writeMany(i,p)},e.prototype.assertShapesMatchAllowUndefinedSize=function(e,a,r){void 0===r&&(r=""),t.util.assert(this.shapesEqualAllowUndefinedSize(e,a),function(){return r+" Shapes "+e+" and "+a+" must match"})},e.prototype.shapesEqualAllowUndefinedSize=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}(),X=function(e,a,r){return s(void 0,void 0,void 0,function(){var n,s,p,i,c,d,y,f,l,h,N,g,b,x,v,T,O,S,_,w,A,D,E,I,V,k,M,C,z,F,j,P,R,L,B;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[u("pred",e,a,r).clone()]];case 2:return n=u("pred",e,a,r),s=u("data",e,a,r),[4,n.data()];case 3:return[2,o.sent()[0]?[void 0,s.clone()]:[s.clone(),void 0]];case 4:return[2,(p=e.inputNames.find(function(e){return void 0!==m(e,a,r)}))?[m(p,a,r).clone()]:void 0];case 5:return i=u("frameName",e,a,r),c=u("tensor",e,a,r),r.enterFrame(i),[2,[c.clone()]];case 6:return d=u("tensor",e,a,r),r.exitFrame(),[2,[d.clone()]];case 7:return y=u("tensor",e,a,r),r.nextIteration(),[2,[y.clone()]];case 8:return f=u("size",e,a,r),l=u("dtype",e,a,r),h=u("elementShape",e,a,r),N=u("dynamicSize",e,a,r),g=u("clearAfterRead",e,a,r),b=u("identicalElementShapes",e,a,r),x=u("name",e,a,r),v=new K(x,l,f,h,b,N,g),r.addTensorArray(v),[2,[t.scalar(v.id),t.scalar(1)]];case 9:return T=u("tensorArrayId",e,a,r),O=u("index",e,a,r),S=u("tensor",e,a,r),r.getTensorArray(T).write(O,S),[2,[t.scalar(1)]];case 10:return _=u("tensorArrayId",e,a,r),w=u("index",e,a,r),[2,[r.getTensorArray(_).read(w)]];case 11:return A=u("tensorArrayId",e,a,r),D=u("indices",e,a,r),E=u("dtype",e,a,r),[2,[r.getTensorArray(A).gather(D,E)]];case 12:return I=u("tensorArrayId",e,a,r),V=u("indices",e,a,r),k=u("tensor",e,a,r),r.getTensorArray(I).scatter(V,k),[2,[t.scalar(1)]];case 13:return M=u("tensorArrayId",e,a,r),C=r.getTensorArray(M),z=u("dtype",e,a,r),[2,[C.concat(z)]];case 14:return F=u("tensorArrayId",e,a,r),j=u("tensor",e,a,r),P=u("lengths",e,a,r),r.getTensorArray(F).split(P,j),[2,[t.scalar(1)]];case 15:return R=u("tensorArrayId",e,a,r),L=r.getTensorArray(R),[2,[t.scalar(L.size(),"int32")]];case 16:return B=u("tensorArrayId",e,a,r),r.getTensorArray(B).clearAndClose(),[2,[t.scalar(0)]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})},Z=function(e,a,r){switch(e.op){case"Conv1D":var n=u("stride",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),p=u("dilation",e,a,r);return[t.conv1d(u("x",e,a,r),u("filter",e,a,r),n,s,o,p)];case"Conv2D":n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase();var i=u("dilations",e,a,r);return[t.conv2d(u("x",e,a,r),u("filter",e,a,r),[n[1],n[2]],s,o,[i[1],i[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var m=u("fusedOps",e,a,r),c=m[0],d=m[1],y="biasadd"===c,f="prelu"===d,l="fusedbatchnorm"===c,h=u("numArgs",e,a,r);if(y){if(f&&2!==h)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!f&&1!==h)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),i=u("dilations",e,a,r);var N=u("args",e,a,r),g=N[0],b=N[1];return[("_FusedConv2D"===e.op?t.fused.conv2d:t.fused.depthwiseConv2d)({x:u("x",e,a,r),filter:u("filter",e,a,r),strides:[n[1],n[2]],pad:s,dataFormat:o,dilations:[i[1],i[2]],bias:g,activation:d,preluActivationWeights:b})];case"Conv2DBackpropInput":case"Conv2dTranspose":var x=u("outputShape",e,a,r);n=u("strides",e,a,r),s=u("pad",e,a,r);return[t.conv2dTranspose(u("x",e,a,r),u("filter",e,a,r),x,[n[1],n[2]],s)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":n=u("strides",e,a,r),s=u("pad",e,a,r),i=u("dilations",e,a,r),o=u("dataFormat",e,a,r).toUpperCase();return[t.depthwiseConv2d(u("input",e,a,r),u("filter",e,a,r),[n[1],n[2]],s,o,[i[1],i[2]])];case"Conv3D":n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),i=u("dilations",e,a,r);return[t.conv3d(u("x",e,a,r),u("filter",e,a,r),[n[1],n[2],n[3]],s,o,[i[1],i[2],i[3]])];case"AvgPool":n=u("strides",e,a,r),s=u("pad",e,a,r);var v=u("kernelSize",e,a,r);return[t.avgPool(u("x",e,a,r),[v[1],v[2]],[n[1],n[2]],s)];case"MaxPool":n=u("strides",e,a,r),s=u("pad",e,a,r),v=u("kernelSize",e,a,r);return[t.maxPool(u("x",e,a,r),[v[1],v[2]],[n[1],n[2]],s)];case"MaxPoolWithArgmax":n=u("strides",e,a,r),s=u("pad",e,a,r),v=u("kernelSize",e,a,r);var T=u("includeBatchInIndex",e,a,r),O=t.maxPoolWithArgmax(u("x",e,a,r),[v[1],v[2]],[n[1],n[2]],s,T);return[O.result,O.indexes];case"AvgPool3D":n=u("strides",e,a,r),s=u("pad",e,a,r),v=u("kernelSize",e,a,r);return[t.avgPool3d(u("x",e,a,r),[v[1],v[2],v[3]],[n[1],n[2],n[3]],s)];case"MaxPool3D":n=u("strides",e,a,r),s=u("pad",e,a,r),v=u("kernelSize",e,a,r);return[t.maxPool3d(u("x",e,a,r),[v[1],v[2],v[3]],[n[1],n[2],n[3]],s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},Y=function(e,a,r){switch(e.op){case"Fill":var n=u("shape",e,a,r),s=u("dtype",e,a,r),o=u("value",e,a,r);return[t.fill(n,o,s)];case"LinSpace":var p=u("start",e,a,r),i=u("stop",e,a,r),m=u("num",e,a,r);return[t.linspace(p,i,m)];case"Multinomial":var c=u("logits",e,a,r),d=u("numSamples",e,a,r),y=u("seed",e,a,r);return[t.multinomial(c,d,y)];case"OneHot":var f=u("indices",e,a,r),l=u("depth",e,a,r),h=u("onValue",e,a,r),N=u("offValue",e,a,r);return[t.oneHot(f,l,h,N)];case"Ones":return[t.ones(u("shape",e,a,r),u("dtype",e,a,r))];case"OnesLike":return[t.onesLike(u("x",e,a,r))];case"RandomUniform":return[t.randomUniform(u("shape",e,a,r),u("minval",e,a,r),u("maxval",e,a,r),u("dtype",e,a,r))];case"Range":p=u("start",e,a,r);var g=u("stop",e,a,r),b=u("step",e,a,r);return[t.range(p,g,b,u("dtype",e,a,r))];case"TruncatedNormal":n=u("shape",e,a,r);var x=u("mean",e,a,r),v=u("stdDev",e,a,r);y=u("seed",e,a,r);return[t.truncatedNormal(n,x,v,u("dtype",e,a,r),y)];case"Zeros":return[t.zeros(u("shape",e,a,r),u("dtype",e,a,r))];case"ZerosLike":return[t.zerosLike(u("x",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},J=function(e,a,r){return s(void 0,void 0,void 0,function(){var n,s,p,i,m,c,d,y;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return n=u("boxes",e,a,r),s=u("scores",e,a,r),p=u("maxOutputSize",e,a,r),i=u("iouThreshold",e,a,r),m=u("scoreThreshold",e,a,r),"NonMaxSuppressionV5"!==e.op?[3,3]:(c=u("softNmsSigma",e,a,r),[4,t.image.nonMaxSuppressionWithScoreAsync(n,s,p,i,m,c)]);case 2:return[2,[(y=o.sent()).selectedIndices,y.selectedScores]];case 3:return[4,t.image.nonMaxSuppressionAsync(n,s,p,i,m)];case 4:return[2,[o.sent()]];case 5:return d=u("condition",e,a,r).asType("bool"),[4,t.whereAsync(d)];case 6:return y=[o.sent()],d.dispose(),[2,y];case 7:return[2,t.setdiff1dAsync(u("x",e,a,r),u("y",e,a,r))];case 8:throw TypeError("Node type "+e.op+" is not implemented")}})})},$=function(e,a,r){switch(e.op){case"TopKV2":var n=u("x",e,a,r),s=u("k",e,a,r),o=u("sorted",e,a,r),p=t.topk(n,s,o);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},ee=function(e,a,r){switch(e.op){case"Const":return a[e.name];case"PlaceholderWithDefault":var n=u("default",e,a,r);return[m(e.name,a,r)||n];case"Placeholder":return[m(e.name,a,r)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[u("x",e,a,r).clone()];case"IdentityN":return u("x",e,a,r).map(function(e){return e.clone()});case"Snapshot":return[u("x",e,a,r).clone()];case"Shape":return[t.tensor1d(u("x",e,a,r).shape,"int32")];case"ShapeN":return u("x",e,a,r).map(function(e){return t.tensor1d(e.shape)});case"Size":return[t.scalar(u("x",e,a,r).size,"int32")];case"Rank":return[t.scalar(u("x",e,a,r).rank,"int32")];case"NoOp":return[t.scalar(1)];case"Print":var s=u("x",e,a,r),o=u("data",e,a,r),p=u("message",e,a,r),i=u("summarize",e,a,r);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(p);for(var c=0;c<o.length;c++)console.log(Array.prototype.slice.call(o[c].dataSync()).slice(0,i));return[s];default:throw TypeError("Node type "+e.op+" is not implemented")}},te=function(e,a,r){switch(e.op){case"ResizeBilinear":var n=u("images",e,a,r),s=u("size",e,a,r),o=u("alignCorners",e,a,r);return[t.image.resizeBilinear(n,[s[0],s[1]],o)];case"ResizeNearestNeighbor":n=u("images",e,a,r),s=u("size",e,a,r),o=u("alignCorners",e,a,r);return[t.image.resizeNearestNeighbor(n,[s[0],s[1]],o)];case"CropAndResize":var p=u("image",e,a,r),i=u("boxes",e,a,r),m=u("boxInd",e,a,r),c=u("cropSize",e,a,r),d=u("method",e,a,r),y=u("extrapolationValue",e,a,r);return[t.image.cropAndResize(p,i,m,c,d,y)];default:throw TypeError("Node type "+e.op+" is not implemented")}},ae=function(e,a,r){switch(e.op){case"Equal":return[t.equal(u("a",e,a,r),u("b",e,a,r))];case"NotEqual":return[t.notEqual(u("a",e,a,r),u("b",e,a,r))];case"Greater":return[t.greater(u("a",e,a,r),u("b",e,a,r))];case"GreaterEqual":return[t.greaterEqual(u("a",e,a,r),u("b",e,a,r))];case"Less":return[t.less(u("a",e,a,r),u("b",e,a,r))];case"LessEqual":return[t.lessEqual(u("a",e,a,r),u("b",e,a,r))];case"LogicalAnd":return[t.logicalAnd(u("a",e,a,r),u("b",e,a,r))];case"LogicalNot":return[t.logicalNot(u("a",e,a,r))];case"LogicalOr":return[t.logicalOr(u("a",e,a,r),u("b",e,a,r))];case"Select":return[t.where(u("condition",e,a,r),u("a",e,a,r),u("b",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},re=function(e,a,r){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[t.matMul(u("a",e,a,r),u("b",e,a,r),u("transposeA",e,a,r),u("transposeB",e,a,r))];case"Transpose":return[t.transpose(u("x",e,a,r),u("perm",e,a,r))];case"_FusedMatMul":var n=u("fusedOps",e,a,r),s=n[0],o=n[1],p="biasadd"===s,i="prelu"===o,m=u("numArgs",e,a,r);if(p){if(i&&2!==m)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==m)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var c=u("args",e,a,r),d=c[0],y=c[1];return[t.fused.matMul({a:u("a",e,a,r),b:u("b",e,a,r),transposeA:u("transposeA",e,a,r),transposeB:u("transposeB",e,a,r),bias:d,activation:o,preluActivationWeights:y})];default:throw TypeError("Node type "+e.op+" is not implemented")}},ne=function(e,a,r){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[t.batchNorm(u("x",e,a,r),u("mean",e,a,r),u("variance",e,a,r),u("offset",e,a,r),u("scale",e,a,r),u("epsilon",e,a,r))];case"LRN":return[t.localResponseNormalization(u("x",e,a,r),u("radius",e,a,r),u("bias",e,a,r),u("alpha",e,a,r),u("beta",e,a,r))];case"Softmax":return[t.softmax(u("x",e,a,r))];case"LogSoftmax":return[t.logSoftmax(u("x",e,a,r))];case"SparseToDense":return[t.sparseToDense(u("sparseIndices",e,a,r),u("outputShape",e,a,r),u("sparseValues",e,a,r),u("defaultValue",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},se=function(e,a,r){switch(e.op){case"Max":var n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.max(u("x",e,a,r),n,s)];case"Mean":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.mean(u("x",e,a,r),n,s)];case"Min":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.min(u("x",e,a,r),n,s)];case"Sum":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.sum(u("x",e,a,r),n,s)];case"All":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.all(u("x",e,a,r),n,s)];case"Any":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.any(u("x",e,a,r),n,s)];case"ArgMax":n=u("axis",e,a,r);return[t.argMax(u("x",e,a,r),n)];case"ArgMin":n=u("axis",e,a,r);return[t.argMin(u("x",e,a,r),n)];case"Prod":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.prod(u("x",e,a,r),n,s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},oe=function(e,a,r){switch(e.op){case"ConcatV2":case"Concat":var n=u("n",e,a,r),s=u("axis",e,a,r),o=u("tensors",e,a,r);return o=o.slice(0,n),[t.concat(o,s)];case"GatherV2":case"Gather":s=u("axis",e,a,r);var p=u("x",e,a,r),i=u("indices",e,a,r);return[t.gather(p,i.asType("int32"),s)];case"ReverseV2":case"Reverse":s=u("axis",e,a,r),p=u("x",e,a,r);return[t.reverse(p,s)];case"Slice":var m=u("begin",e,a,r),c=u("size",e,a,r);return[t.slice(u("x",e,a,r),m,c)];case"StridedSlice":m=u("begin",e,a,r);var d=u("end",e,a,r),y=u("strides",e,a,r),f=u("beginMask",e,a,r),l=u("endMask",e,a,r),h=u("ellipsisMask",e,a,r),N=u("newAxisMask",e,a,r),g=u("shrinkAxisMask",e,a,r),b=u("x",e,a,r);if(1===m.length&&b.shape.length>1)for(var x=1;x<b.shape.length;x++)m.push(0),d.push(b.shape[x]),y.push(y[0]);return[t.stridedSlice(b,m,d,y,f,l,h,N,g)];case"Pack":return t.tidy(function(){var n=u("axis",e,a,r),s=u("tensors",e,a,r),o=s[0].shape,p=s[0].squeeze().shape,i=s.map(function(e){var a=t.util.arraysEqual(e.shape,o);if(!a&&!t.util.arraysEqual(e.squeeze().shape,p))throw new Error("the input tensors shape does not match");return a?e:e.reshape(o)});return[t.stack(i,n)]});case"Unpack":return t.tidy(function(){var n=u("axis",e,a,r),s=u("tensor",e,a,r);return t.unstack(s,n)});case"Tile":var v=u("reps",e,a,r);return[t.tile(u("x",e,a,r),v)];case"Split":case"SplitV":s=u("axis",e,a,r);var T=u("numOrSizeSplits",e,a,r);return t.split(u("x",e,a,r),T,s);case"ScatterNd":i=u("indices",e,a,r);var O=u("values",e,a,r),S=u("shape",e,a,r);return[t.scatterND(i,O,S)];case"GatherNd":var _=u("x",e,a,r);i=u("indices",e,a,r);return[t.gatherND(_,i)];case"SparseToDense":i=u("sparseIndices",e,a,r),S=u("outputShape",e,a,r);var w=u("sparseValues",e,a,r),A=u("defaultValue",e,a,r);return[t.sparseToDense(i,w,S,w.dtype===A.dtype?A:A.asType(w.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}},pe=function(e,a,r){switch(e.op){case"FFT":return[t.fft(u("x",e,a,r))];case"IFFT":return[t.ifft(u("x",e,a,r))];case"RFFT":return[t.rfft(u("x",e,a,r))];case"IRFFT":return[t.irfft(u("x",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},ie=function(e,a,r){switch(e.op){case"Cast":return[t.cast(u("x",e,a,r),u("dtype",e,a,r))];case"ExpandDims":var n=u("axis",e,a,r);return[t.expandDims(u("x",e,a,r),n)];case"Squeeze":n=u("axis",e,a,r);return[t.squeeze(u("x",e,a,r),n)];case"Reshape":return[t.reshape(u("x",e,a,r),u("shape",e,a,r))];case"PadV2":case"Pad":return[t.pad(u("x",e,a,r),f(u("padding",e,a,r),2),u("constantValue",e,a,r))];case"SpaceToBatchND":var s=u("blockShape",e,a,r),o=f(u("paddings",e,a,r),2);return[t.spaceToBatchND(u("x",e,a,r),s,o)];case"BatchToSpaceND":s=u("blockShape",e,a,r);var p=f(u("crops",e,a,r),2);return[t.batchToSpaceND(u("x",e,a,r),s,p)];case"DepthToSpace":var i=u("blockSize",e,a,r),m=u("dataFormat",e,a,r).toUpperCase();return[t.depthToSpace(u("x",e,a,r),i,m)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function ue(e,a,r){var n=function(e,a,r){switch(e.category){case"arithmetic":return t.tidy(function(){return H(e,a,r)});case"basic_math":return t.tidy(function(){return Q(e,a,r)});case"control":return X(e,a,r);case"convolution":return t.tidy(function(){return Z(e,a,r)});case"creation":return t.tidy(function(){return Y(e,a,r)});case"dynamic":return J(e,a,r);case"evaluation":return t.tidy(function(){return $(e,a,r)});case"image":return t.tidy(function(){return te(e,a,r)});case"graph":return t.tidy(function(){return ee(e,a,r)});case"logical":return t.tidy(function(){return ae(e,a,r)});case"matrices":return t.tidy(function(){return re(e,a,r)});case"normalization":return t.tidy(function(){return ne(e,a,r)});case"reduction":return t.tidy(function(){return se(e,a,r)});case"slice_join":return t.tidy(function(){return oe(e,a,r)});case"spectral":return t.tidy(function(){return pe(e,a,r)});case"transformation":return t.tidy(function(){return ie(e,a,r)});case"custom":var n=i(e.op);if(n&&n.customExecutor)return n.customExecutor(new W(e,a,r));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,a,r);return n instanceof Promise?n.then(function(e){return[].concat(e)}):[].concat(n)}var me=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}();function ce(e,t,a){for(var r=new Set,n=[],s=null,o=null,p=new Set,i=Object.keys(e).map(function(e){return y(e)[0]}),u=t.slice();u.length>0;){var m=u.pop();(fe(m)||le(m))&&null==s&&(o=(s=m).children.map(function(e){return e.name}).filter(function(e){return r.has(e)})),r.add(m.name),null==a[m.name]&&(-1===i.indexOf(m.name)&&(0!==m.inputs.length?m.inputs.forEach(function(e){p.has(e.name)||(p.add(e.name),u.push(e))}):n.push(m.name)))}return{inputs:e,outputs:t,usedNodes:r,missingInputs:n,dynamicNode:s,syncInputs:o}}var de=["Switch","Merge","Enter","Exit","NextIteration"],ye=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function fe(e){return de.indexOf(e.op)>=0}function le(e){return ye.indexOf(e.op)>=0}var he=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=e.outputs,this._inputs=e.inputs,this._signature=e.signature}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this._inputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this._inputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this._outputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var a=e.map(function(e){return e.name}).sort(),r=t.map(function(e){return e.name}).sort();return a.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.prototype.compile=function(e,t){var a=ce(e,t,this.weightMap),r=a.missingInputs,n=a.dynamicNode,s=a.syncInputs;if(null!=n)throw new Error("This execution contains the node '"+n.name+"', which has the dynamic op '"+n.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+s+"]");if(r.length>0){var o=t.map(function(e){return e.name}),p=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+p+"]. Missing the following inputs: ["+r+"]")}return function(e,t,a){var r=a.usedNodes,n=a.inputs,s=[];Object.keys(n).map(function(e){return y(e)[0]}).map(function(t){return e.nodes[t]}).forEach(function(e){r.has(e.name)&&s.push(e)}),e.weights.forEach(function(e){r.has(e.name)&&s.push(e)});for(var o=new Set,p=[];s.length>0;){var i=s.pop();o.add(i.name),t[i.name]||p.push(i),i.children.forEach(function(e){!o.has(e.name)&&r.has(e.name)&&e.inputs.every(function(e){return o.has(e.name)})&&s.push(e)})}return p}(this.graph,this.weightMap,a)},e.prototype.execute=function(e,a){var r=this;e=this.mapInputs(e);var s=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),a=this.mapOutputs(a),this.checkOutputs(a);var o=s.map(function(e){return r.graph.nodes[y(e)[0]]}),p=a.map(function(e){return r.graph.nodes[y(e)[0]]}),i=this.getCompilationKey(o,p),u=this.compiledMap.get(i);null==u&&(u=this.compile(e,p),this.compiledMap.set(i,u));var c={};return t.tidy(function(){var t=new me(r._weightMap,c),s=n({},r.weightMap);Object.keys(e).forEach(function(t){var a=y(t),r=a[0],n=[];n[a[1]]=e[t],s[r]=n});for(var o=r.getFrozenTensorIds(s),p={},i=0;i<u.length;i++){var d=u[i];if(!s[d.name]){var f=ue(d,s,t);if(f instanceof Promise)throw new Error("The execution of the op '"+d.op+"' returned a promise. Please use model.executeAsync() instead.");s[d.name]=f,r.checkTensorForDisposal(d.name,d,s,t,o,a,p)}}return a.map(function(e){return m(e,s,t)})})},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})}));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,a,r,n,s,o){"control"!==t.category&&-1===s.indexOf(e)&&(a[e].forEach(function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)}),t.inputs.forEach(function(e){if("control"!==e.category){var t=function(e,t,a){return t[d(e,a.currentContextId)]}(e.name,a,r);null!=t&&t.forEach(function(e){if(e&&!n.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}})}}))},e.prototype.executeAsync=function(e,t){return s(this,void 0,void 0,function(){var a,r,n,s,p,i,u=this;return o(this,function(o){switch(o.label){case 0:return e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t),a={},r=new me(this._weightMap,a),[4,this.executeWithControlFlow(e,r,t)];case 1:return n=o.sent(),s=t.map(function(e){return m(e,n,r)}),p=new Set(s.map(function(e){return e.id})),i=new Set(Object.keys(e).map(function(t){return e[t].id})),Object.keys(n).forEach(function(e){n[e].forEach(function(e){!e||e.isDisposed||p.has(e.id)||i.has(e.id)||-1!==u.weightIds.indexOf(e.id)||e.dispose()})}),[2,s]}})})},e.prototype.executeWithControlFlow=function(e,t,a){return s(this,void 0,void 0,function(){var r,s,p,i,u,c,d,f,l,h,N,g,b,x,v,T,O=this;return o(this,function(o){switch(o.label){case 0:r=Object.keys(e),s=r.map(function(e){return O.graph.nodes[y(e)[0]]}),p=a.map(function(e){return O.graph.nodes[y(e)[0]]}),i=ce(e,p,this.weightMap),u=i.usedNodes,c=i.missingInputs,d=i.dynamicNode,f=i.syncInputs,l=s.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),h=n({},this.weightMap),Object.keys(e).forEach(function(t){var a=y(t),r=a[0],n=[];n[a[1]]=e[t],h[r]=n}),N={},g=this.getFrozenTensorIds(h),b={},o.label=1;case 1:return l.length>0?(x=this.processStack(s,l,t,h,b,g,a,N,u),[4,Promise.all(x)]):[3,3];case 2:return o.sent(),[3,1];case 3:if(null==d&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(v=p.filter(function(e){return!fe(e)&&!m(e.name,h,t)}).map(function(e){return e.name})).length>0)throw T="",null!=d&&(T="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+f+"]"),new Error("Cannot compute the outputs ["+v+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+c+"]. "+T);return[2,h]}})})},e.prototype.processStack=function(e,t,a,r,n,s,o,p,i){for(var m=this,d=[],y=function(){var y=t.pop();a.currentContext=y.contexts;var l="";if("Enter"===y.node.op&&u("isConstant",y.node,r,a)&&(l=c(y.node.name,a)[0]),-1===e.indexOf(y.node)){var h=ue(y.node,r,a);l||(l=c(y.node.name,a)[0]);var N=a.currentContext;h instanceof Promise?d.push(h.then(function(e){return r[l]=e,a.currentContext=N,m.checkTensorForDisposal(l,y.node,r,a,s,o,p),m.processChildNodes(y.node,t,a,r,n,i),e})):(r[l]=h,f.checkTensorForDisposal(l,y.node,r,a,s,o,p),f.processChildNodes(y.node,t,a,r,n,i))}else f.processChildNodes(y.node,t,a,r,n,i)},f=this;t.length>0;)y();return d},e.prototype.processChildNodes=function(e,t,a,r,n,s){e.children.forEach(function(e){var o=c(e.name,a)[0];!n[o]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some(function(e){return!!m(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!m(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e){var a=this;Object.keys(e).forEach(function(r){var n=e[r],s=y(r)[0],o=a.graph.nodes[s];if(o.attrParams.shape&&o.attrParams.shape.value){var p=o.attrParams.shape.value,i=p.length===n.shape.length&&n.shape.every(function(e,t){return-1===p[t]||p[t]===e});t.util.assert(i,function(){return"The shape of dict['"+o.name+"'] provided in model.execute(dict) must be ["+p+"], but was ["+n.shape+"]"})}o.attrParams.dtype&&o.attrParams.dtype.value&&t.util.assert(n.dtype===o.attrParams.dtype.value,function(){return"The dtype of dict['"+o.name+"'] provided in model.execute(dict) must be "+o.attrParams.dtype.value+", but was "+n.dtype})})},e.prototype.mapInputs=function(e){var t={};for(var a in e){if(null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[a])t[this._signature.inputs[a].name]=e[a];else t[a]=e[a]}return t},e.prototype.checkInputs=function(e){var t=this,a=Object.keys(e).filter(function(e){var a=y(e)[0];return null==t.graph.nodes[a]});if(a.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+a+"] that are not part of graph")},e.prototype.mapOutputs=function(e){var t=this;return e.map(function(e){return null!=t._signature&&null!=t._signature.outputs&&null!=t._signature.outputs[e]?t._signature.outputs[e].name:e},{})},e.prototype.checkOutputs=function(e){var t=this;e.forEach(function(e){var a=y(e)[0];if(!t.graph.nodes[a])throw new Error("The output '"+e+"' is not found in the graph")})},e}(),Ne="?tfjs-format=file",ge="model.json",be=function(){function e(e,t){void 0===t&&(t={}),this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={})}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=t.io.browserHTTPRequest(e,this.loadOptions);else{var a=t.io.getLoadHandlers(e,this.loadOptions.onProgress);if(0===a.length)a.push(t.io.browserHTTPRequest(e,this.loadOptions));else if(a.length>1)throw new Error("Found more than one ("+a.length+") load handlers for URL '"+[e]+"'");this.handler=a[0]}},e.prototype.load=function(){return s(this,void 0,void 0,function(){var e,a,r,n;return o(this,function(s){switch(s.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return e=this,[4,this.handler.load()];case 1:return e.artifacts=s.sent(),a=this.artifacts.modelTopology,r={},null!=this.artifacts.userDefinedMetadata&&(r=this.artifacts.userDefinedMetadata.signature),this.version=a.versions.producer+"."+a.versions.minConsumer,n=t.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs),this.executor=new he(V.Instance.transformGraph(a,r)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),[2,!0]}})})},e.prototype.save=function(e,a){return s(this,void 0,void 0,function(){var a;return o(this,function(r){if("string"==typeof e){if(0===(a=t.io.getSaveHandlers(e)).length)throw new Error("Cannot find any save handlers for URL '"+e+"'");if(a.length>1)throw new Error("Found more than one ("+a.length+") save handlers for URL '"+e+"'");e=a[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,e.save(this.artifacts)]})})},e.prototype.predict=function(e,t){return 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t},e}(),H=function(e,a,r){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[t.add(u("a",e,a,r),u("b",e,a,r))];case"AddN":return[t.addN(u("tensors",e,a,r))];case"FloorMod":case"Mod":return[t.mod(u("a",e,a,r),u("b",e,a,r))];case"Mul":return[t.mul(u("a",e,a,r),u("b",e,a,r))];case"RealDiv":case"Div":return[t.div(u("a",e,a,r),u("b",e,a,r))];case"DivNoNan":return[t.divNoNan(u("a",e,a,r),u("b",e,a,r))];case"FloorDiv":return[t.floorDiv(u("a",e,a,r),u("b",e,a,r))];case"Sub":return[t.sub(u("a",e,a,r),u("b",e,a,r))];case"Minimum":return[t.minimum(u("a",e,a,r),u("b",e,a,r))];case"Maximum":return[t.maximum(u("a",e,a,r),u("b",e,a,r))];case"Pow":return[t.pow(u("a",e,a,r),u("b",e,a,r))];case"SquaredDifference":return[t.squaredDifference(u("a",e,a,r),u("b",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},Q=function(e,a,r){switch(e.op){case"Abs":case"ComplexAbs":return[t.abs(u("x",e,a,r))];case"Acos":return[t.acos(u("x",e,a,r))];case"Acosh":return[t.acosh(u("x",e,a,r))];case"Asin":return[t.asin(u("x",e,a,r))];case"Asinh":return[t.asinh(u("x",e,a,r))];case"Atan":return[t.atan(u("x",e,a,r))];case"Atan2":return[t.atan2(u("x",e,a,r),u("y",e,a,r))];case"Atanh":return[t.atanh(u("x",e,a,r))];case"Ceil":return[t.ceil(u("x",e,a,r))];case"Complex":return[t.complex(u("real",e,a,r),u("imag",e,a,r))];case"Cos":return[t.cos(u("x",e,a,r))];case"Cosh":return[t.cosh(u("x",e,a,r))];case"Elu":return[t.elu(u("x",e,a,r))];case"Erf":return[t.erf(u("x",e,a,r))];case"Exp":return[t.exp(u("x",e,a,r))];case"Expm1":return[t.expm1(u("x",e,a,r))];case"Floor":return[t.floor(u("x",e,a,r))];case"Log":return[t.log(u("x",e,a,r))];case"Log1p":return[t.log1p(u("x",e,a,r))];case"Imag":return[t.imag(u("x",e,a,r))];case"Neg":return[t.neg(u("x",e,a,r))];case"Reciprocal":return[t.reciprocal(u("x",e,a,r))];case"Real":return[t.real(u("x",e,a,r))];case"Relu":return[t.relu(u("x",e,a,r))];case"Round":return[t.round(u("x",e,a,r))];case"Selu":return[t.selu(u("x",e,a,r))];case"Sigmoid":return[t.sigmoid(u("x",e,a,r))];case"Sin":return[t.sin(u("x",e,a,r))];case"Sign":return[t.sign(u("x",e,a,r))];case"Sinh":return[t.sinh(u("x",e,a,r))];case"Softplus":return[t.softplus(u("x",e,a,r))];case"Sqrt":return[t.sqrt(u("x",e,a,r))];case"Square":return[t.square(u("x",e,a,r))];case"Tanh":return[t.tanh(u("x",e,a,r))];case"Tan":return[t.tan(u("x",e,a,r))];case"Relu6":case"ClipByValue":return[t.clipByValue(u("x",e,a,r),u("clipValueMin",e,a,r),u("clipValueMax",e,a,r))];case"Rsqrt":return[t.rsqrt(m(e.inputNames[0],a,r))];case"Prod":return[t.prod(u("x",e,a,r),u("axes",e,a,r))];case"LeakyRelu":return[t.leakyRelu(u("x",e,a,r),u("alpha",e,a,r))];case"Prelu":return[t.prelu(u("x",e,a,r),u("alpha",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},K=function(){function e(t,a,r,n,s,o,p){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=o,this.clearAfterRead=p,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.tensors.length)throw new Error("Tried to read from index "+e+", but array size is: "+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),a&&a.read)throw new Error("TensorArray "+this.name+": Could not write to 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Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return t.tensor([],[0].concat(this.elementShape));for(var a=[],r=0;r<this.size();r++)a.push(r);var n=this.readMany(a);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,n[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+n[0].shape+")"),t.concat(n,0)},e.prototype.scatter=function(e,a){if(a.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+a.dtype);if(e.length!==a.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+a.shape[0]);var r=Math.max.apply(Math,e);if(!this.dynamicSize&&r>=this.maxSize)throw new Error("Max index must be < array size ("+r+"  vs. "+this.maxSize+")");this.writeMany(e,t.unstack(a,0))},e.prototype.split=function(e,a){var r=this;if(a.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+a.dtype);var n=0,s=e.map(function(e){return n+=e});if(n!==a.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+n+", and tensor's shape is: "+a.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var o=0===n?0:a.size/n,p=[];t.tidy(function(){a=a.reshape([1,n,o]);for(var i=0;i<e.length;++i){var u=[0,0===i?0:s[i-1],0],m=[1,e[i],o];p[i]=t.slice(a,u,m).reshape(r.elementShape)}return p});for(var i=[],u=0;u<e.length;u++)i[u]=u;this.writeMany(i,p)},e.prototype.assertShapesMatchAllowUndefinedSize=function(e,a,r){void 0===r&&(r=""),t.util.assert(this.shapesEqualAllowUndefinedSize(e,a),function(){return r+" Shapes "+e+" and "+a+" must match"})},e.prototype.shapesEqualAllowUndefinedSize=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}(),X=function(e,a,r){return s(void 0,void 0,void 0,function(){var n,s,p,i,c,d,y,f,l,h,N,g,b,x,T,v,O,S,_,w,A,D,E,I,V,k,M,C,z,F,j,P,R,L,B;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[u("pred",e,a,r).clone()]];case 2:return n=u("pred",e,a,r),s=u("data",e,a,r),[4,n.data()];case 3:return[2,o.sent()[0]?[void 0,s.clone()]:[s.clone(),void 0]];case 4:return[2,(p=e.inputNames.find(function(e){return void 0!==m(e,a,r)}))?[m(p,a,r).clone()]:void 0];case 5:return i=u("frameName",e,a,r),c=u("tensor",e,a,r),r.enterFrame(i),[2,[c.clone()]];case 6:return d=u("tensor",e,a,r),r.exitFrame(),[2,[d.clone()]];case 7:return y=u("tensor",e,a,r),r.nextIteration(),[2,[y.clone()]];case 8:return f=u("size",e,a,r),l=u("dtype",e,a,r),h=u("elementShape",e,a,r),N=u("dynamicSize",e,a,r),g=u("clearAfterRead",e,a,r),b=u("identicalElementShapes",e,a,r),x=u("name",e,a,r),T=new K(x,l,f,h,b,N,g),r.addTensorArray(T),[2,[t.scalar(T.id),t.scalar(1)]];case 9:return v=u("tensorArrayId",e,a,r),O=u("index",e,a,r),S=u("tensor",e,a,r),r.getTensorArray(v).write(O,S),[2,[t.scalar(1)]];case 10:return _=u("tensorArrayId",e,a,r),w=u("index",e,a,r),[2,[r.getTensorArray(_).read(w)]];case 11:return A=u("tensorArrayId",e,a,r),D=u("indices",e,a,r),E=u("dtype",e,a,r),[2,[r.getTensorArray(A).gather(D,E)]];case 12:return I=u("tensorArrayId",e,a,r),V=u("indices",e,a,r),k=u("tensor",e,a,r),r.getTensorArray(I).scatter(V,k),[2,[t.scalar(1)]];case 13:return M=u("tensorArrayId",e,a,r),C=r.getTensorArray(M),z=u("dtype",e,a,r),[2,[C.concat(z)]];case 14:return F=u("tensorArrayId",e,a,r),j=u("tensor",e,a,r),P=u("lengths",e,a,r),r.getTensorArray(F).split(P,j),[2,[t.scalar(1)]];case 15:return R=u("tensorArrayId",e,a,r),L=r.getTensorArray(R),[2,[t.scalar(L.size(),"int32")]];case 16:return B=u("tensorArrayId",e,a,r),r.getTensorArray(B).clearAndClose(),[2,[t.scalar(0)]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})},Z=function(e,a,r){switch(e.op){case"Conv1D":var n=u("stride",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),p=u("dilation",e,a,r);return[t.conv1d(u("x",e,a,r),u("filter",e,a,r),n,s,o,p)];case"Conv2D":n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase();var i=u("dilations",e,a,r);return[t.conv2d(u("x",e,a,r),u("filter",e,a,r),[n[1],n[2]],s,o,[i[1],i[2]])];case"_FusedConv2D":case"FusedDepthwiseConv2dNative":var m=u("fusedOps",e,a,r),c=m[0],d=m[1],y="biasadd"===c,f="prelu"===d,l="fusedbatchnorm"===c,h=u("numArgs",e,a,r);if(y){if(f&&2!==h)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!f&&1!==h)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),i=u("dilations",e,a,r);var N=u("args",e,a,r),g=N[0],b=N[1];return[("_FusedConv2D"===e.op?t.fused.conv2d:t.fused.depthwiseConv2d)({x:u("x",e,a,r),filter:u("filter",e,a,r),strides:[n[1],n[2]],pad:s,dataFormat:o,dilations:[i[1],i[2]],bias:g,activation:d,preluActivationWeights:b})];case"Conv2DBackpropInput":case"Conv2dTranspose":var x=u("outputShape",e,a,r);n=u("strides",e,a,r),s=u("pad",e,a,r);return[t.conv2dTranspose(u("x",e,a,r),u("filter",e,a,r),x,[n[1],n[2]],s)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":n=u("strides",e,a,r),s=u("pad",e,a,r),i=u("dilations",e,a,r),o=u("dataFormat",e,a,r).toUpperCase();return[t.depthwiseConv2d(u("input",e,a,r),u("filter",e,a,r),[n[1],n[2]],s,o,[i[1],i[2]])];case"Conv3D":n=u("strides",e,a,r),s=u("pad",e,a,r),o=u("dataFormat",e,a,r).toUpperCase(),i=u("dilations",e,a,r);return[t.conv3d(u("x",e,a,r),u("filter",e,a,r),[n[1],n[2],n[3]],s,o,[i[1],i[2],i[3]])];case"AvgPool":n=u("strides",e,a,r),s=u("pad",e,a,r);var T=u("kernelSize",e,a,r);return[t.avgPool(u("x",e,a,r),[T[1],T[2]],[n[1],n[2]],s)];case"MaxPool":n=u("strides",e,a,r),s=u("pad",e,a,r),T=u("kernelSize",e,a,r);return[t.maxPool(u("x",e,a,r),[T[1],T[2]],[n[1],n[2]],s)];case"MaxPoolWithArgmax":n=u("strides",e,a,r),s=u("pad",e,a,r),T=u("kernelSize",e,a,r);var v=u("includeBatchInIndex",e,a,r),O=t.maxPoolWithArgmax(u("x",e,a,r),[T[1],T[2]],[n[1],n[2]],s,v);return[O.result,O.indexes];case"AvgPool3D":n=u("strides",e,a,r),s=u("pad",e,a,r),T=u("kernelSize",e,a,r);return[t.avgPool3d(u("x",e,a,r),[T[1],T[2],T[3]],[n[1],n[2],n[3]],s)];case"MaxPool3D":n=u("strides",e,a,r),s=u("pad",e,a,r),T=u("kernelSize",e,a,r);return[t.maxPool3d(u("x",e,a,r),[T[1],T[2],T[3]],[n[1],n[2],n[3]],s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},Y=function(e,a,r){switch(e.op){case"Fill":var n=u("shape",e,a,r),s=u("dtype",e,a,r),o=u("value",e,a,r);return[t.fill(n,o,s)];case"LinSpace":var p=u("start",e,a,r),i=u("stop",e,a,r),m=u("num",e,a,r);return[t.linspace(p,i,m)];case"Multinomial":var c=u("logits",e,a,r),d=u("numSamples",e,a,r),y=u("seed",e,a,r);return[t.multinomial(c,d,y)];case"OneHot":var f=u("indices",e,a,r),l=u("depth",e,a,r),h=u("onValue",e,a,r),N=u("offValue",e,a,r);return[t.oneHot(f,l,h,N)];case"Ones":return[t.ones(u("shape",e,a,r),u("dtype",e,a,r))];case"OnesLike":return[t.onesLike(u("x",e,a,r))];case"RandomUniform":return[t.randomUniform(u("shape",e,a,r),u("minval",e,a,r),u("maxval",e,a,r),u("dtype",e,a,r))];case"Range":p=u("start",e,a,r);var g=u("stop",e,a,r),b=u("step",e,a,r);return[t.range(p,g,b,u("dtype",e,a,r))];case"TruncatedNormal":n=u("shape",e,a,r);var x=u("mean",e,a,r),T=u("stdDev",e,a,r);y=u("seed",e,a,r);return[t.truncatedNormal(n,x,T,u("dtype",e,a,r),y)];case"Zeros":return[t.zeros(u("shape",e,a,r),u("dtype",e,a,r))];case"ZerosLike":return[t.zerosLike(u("x",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},J=function(e,a,r){return s(void 0,void 0,void 0,function(){var n,s,p,i,m,c,d,y;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"NonMaxSuppressionV5":case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,5];case"ListDiff":return[3,7]}return[3,8];case 1:return n=u("boxes",e,a,r),s=u("scores",e,a,r),p=u("maxOutputSize",e,a,r),i=u("iouThreshold",e,a,r),m=u("scoreThreshold",e,a,r),"NonMaxSuppressionV5"!==e.op?[3,3]:(c=u("softNmsSigma",e,a,r),[4,t.image.nonMaxSuppressionWithScoreAsync(n,s,p,i,m,c)]);case 2:return[2,[(y=o.sent()).selectedIndices,y.selectedScores]];case 3:return[4,t.image.nonMaxSuppressionAsync(n,s,p,i,m)];case 4:return[2,[o.sent()]];case 5:return d=u("condition",e,a,r).asType("bool"),[4,t.whereAsync(d)];case 6:return y=[o.sent()],d.dispose(),[2,y];case 7:return[2,t.setdiff1dAsync(u("x",e,a,r),u("y",e,a,r))];case 8:throw TypeError("Node type "+e.op+" is not implemented")}})})},$=function(e,a,r){switch(e.op){case"TopKV2":var n=u("x",e,a,r),s=u("k",e,a,r),o=u("sorted",e,a,r),p=t.topk(n,s,o);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},ee=function(e,a,r){switch(e.op){case"Const":return a[e.name];case"PlaceholderWithDefault":var n=u("default",e,a,r);return[m(e.name,a,r)||n];case"Placeholder":return[m(e.name,a,r)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[u("x",e,a,r).clone()];case"IdentityN":return u("x",e,a,r).map(function(e){return e.clone()});case"Snapshot":return[u("x",e,a,r).clone()];case"Shape":return[t.tensor1d(u("x",e,a,r).shape,"int32")];case"ShapeN":return u("x",e,a,r).map(function(e){return t.tensor1d(e.shape)});case"Size":return[t.scalar(u("x",e,a,r).size,"int32")];case"Rank":return[t.scalar(u("x",e,a,r).rank,"int32")];case"NoOp":return[t.scalar(1)];case"Print":var s=u("x",e,a,r),o=u("data",e,a,r),p=u("message",e,a,r),i=u("summarize",e,a,r);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(p);for(var c=0;c<o.length;c++)console.log(Array.prototype.slice.call(o[c].dataSync()).slice(0,i));return[s];default:throw TypeError("Node type "+e.op+" is not implemented")}},te=function(e,a,r){switch(e.op){case"ResizeBilinear":var n=u("images",e,a,r),s=u("size",e,a,r),o=u("alignCorners",e,a,r);return[t.image.resizeBilinear(n,[s[0],s[1]],o)];case"ResizeNearestNeighbor":n=u("images",e,a,r),s=u("size",e,a,r),o=u("alignCorners",e,a,r);return[t.image.resizeNearestNeighbor(n,[s[0],s[1]],o)];case"CropAndResize":var p=u("image",e,a,r),i=u("boxes",e,a,r),m=u("boxInd",e,a,r),c=u("cropSize",e,a,r),d=u("method",e,a,r),y=u("extrapolationValue",e,a,r);return[t.image.cropAndResize(p,i,m,c,d,y)];default:throw TypeError("Node type "+e.op+" is not implemented")}},ae=function(e,a,r){switch(e.op){case"Equal":return[t.equal(u("a",e,a,r),u("b",e,a,r))];case"NotEqual":return[t.notEqual(u("a",e,a,r),u("b",e,a,r))];case"Greater":return[t.greater(u("a",e,a,r),u("b",e,a,r))];case"GreaterEqual":return[t.greaterEqual(u("a",e,a,r),u("b",e,a,r))];case"Less":return[t.less(u("a",e,a,r),u("b",e,a,r))];case"LessEqual":return[t.lessEqual(u("a",e,a,r),u("b",e,a,r))];case"LogicalAnd":return[t.logicalAnd(u("a",e,a,r),u("b",e,a,r))];case"LogicalNot":return[t.logicalNot(u("a",e,a,r))];case"LogicalOr":return[t.logicalOr(u("a",e,a,r),u("b",e,a,r))];case"Select":case"SelectV2":return[t.where(u("condition",e,a,r),u("a",e,a,r),u("b",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},re=function(e,a,r){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[t.matMul(u("a",e,a,r),u("b",e,a,r),u("transposeA",e,a,r),u("transposeB",e,a,r))];case"Transpose":return[t.transpose(u("x",e,a,r),u("perm",e,a,r))];case"_FusedMatMul":var n=u("fusedOps",e,a,r),s=n[0],o=n[1],p="biasadd"===s,i="prelu"===o,m=u("numArgs",e,a,r);if(p){if(i&&2!==m)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!i&&1!==m)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var c=u("args",e,a,r),d=c[0],y=c[1];return[t.fused.matMul({a:u("a",e,a,r),b:u("b",e,a,r),transposeA:u("transposeA",e,a,r),transposeB:u("transposeB",e,a,r),bias:d,activation:o,preluActivationWeights:y})];default:throw TypeError("Node type "+e.op+" is not implemented")}},ne=function(e,a,r){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[t.batchNorm(u("x",e,a,r),u("mean",e,a,r),u("variance",e,a,r),u("offset",e,a,r),u("scale",e,a,r),u("epsilon",e,a,r))];case"LRN":return[t.localResponseNormalization(u("x",e,a,r),u("radius",e,a,r),u("bias",e,a,r),u("alpha",e,a,r),u("beta",e,a,r))];case"Softmax":return[t.softmax(u("x",e,a,r))];case"LogSoftmax":return[t.logSoftmax(u("x",e,a,r))];case"SparseToDense":return[t.sparseToDense(u("sparseIndices",e,a,r),u("outputShape",e,a,r),u("sparseValues",e,a,r),u("defaultValue",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},se=function(e,a,r){switch(e.op){case"Max":var n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.max(u("x",e,a,r),n,s)];case"Mean":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.mean(u("x",e,a,r),n,s)];case"Min":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.min(u("x",e,a,r),n,s)];case"Sum":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.sum(u("x",e,a,r),n,s)];case"All":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.all(u("x",e,a,r),n,s)];case"Any":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.any(u("x",e,a,r),n,s)];case"ArgMax":n=u("axis",e,a,r);return[t.argMax(u("x",e,a,r),n)];case"ArgMin":n=u("axis",e,a,r);return[t.argMin(u("x",e,a,r),n)];case"Prod":n=u("axis",e,a,r),s=u("keepDims",e,a,r);return[t.prod(u("x",e,a,r),n,s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},oe=function(e,a,r){switch(e.op){case"ConcatV2":case"Concat":var n=u("n",e,a,r),s=u("axis",e,a,r),o=u("tensors",e,a,r);return o=o.slice(0,n),[t.concat(o,s)];case"GatherV2":case"Gather":s=u("axis",e,a,r);var p=u("x",e,a,r),i=u("indices",e,a,r);return[t.gather(p,i.asType("int32"),s)];case"ReverseV2":case"Reverse":s=u("axis",e,a,r),p=u("x",e,a,r);return[t.reverse(p,s)];case"Slice":var m=u("begin",e,a,r),c=u("size",e,a,r);return[t.slice(u("x",e,a,r),m,c)];case"StridedSlice":m=u("begin",e,a,r);var d=u("end",e,a,r),y=u("strides",e,a,r),f=u("beginMask",e,a,r),l=u("endMask",e,a,r),h=u("ellipsisMask",e,a,r),N=u("newAxisMask",e,a,r),g=u("shrinkAxisMask",e,a,r),b=u("x",e,a,r);if(1===m.length&&b.shape.length>1)for(var x=1;x<b.shape.length;x++)m.push(0),d.push(b.shape[x]),y.push(y[0]);return[t.stridedSlice(b,m,d,y,f,l,h,N,g)];case"Pack":return t.tidy(function(){var n=u("axis",e,a,r),s=u("tensors",e,a,r),o=s[0].shape,p=s[0].squeeze().shape,i=s.map(function(e){var a=t.util.arraysEqual(e.shape,o);if(!a&&!t.util.arraysEqual(e.squeeze().shape,p))throw new Error("the input tensors shape does not match");return a?e:e.reshape(o)});return[t.stack(i,n)]});case"Unpack":return t.tidy(function(){var n=u("axis",e,a,r),s=u("tensor",e,a,r);return t.unstack(s,n)});case"Tile":var T=u("reps",e,a,r);return[t.tile(u("x",e,a,r),T)];case"Split":case"SplitV":s=u("axis",e,a,r);var v=u("numOrSizeSplits",e,a,r);return t.split(u("x",e,a,r),v,s);case"ScatterNd":i=u("indices",e,a,r);var O=u("values",e,a,r),S=u("shape",e,a,r);return[t.scatterND(i,O,S)];case"GatherNd":var _=u("x",e,a,r);i=u("indices",e,a,r);return[t.gatherND(_,i)];case"SparseToDense":i=u("sparseIndices",e,a,r),S=u("outputShape",e,a,r);var w=u("sparseValues",e,a,r),A=u("defaultValue",e,a,r);return[t.sparseToDense(i,w,S,w.dtype===A.dtype?A:A.asType(w.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}},pe=function(e,a,r){switch(e.op){case"FFT":return[t.fft(u("x",e,a,r))];case"IFFT":return[t.ifft(u("x",e,a,r))];case"RFFT":return[t.rfft(u("x",e,a,r))];case"IRFFT":return[t.irfft(u("x",e,a,r))];default:throw TypeError("Node type "+e.op+" is not implemented")}},ie=function(e,a,r){switch(e.op){case"Cast":return[t.cast(u("x",e,a,r),u("dtype",e,a,r))];case"ExpandDims":var n=u("axis",e,a,r);return[t.expandDims(u("x",e,a,r),n)];case"Squeeze":n=u("axis",e,a,r);return[t.squeeze(u("x",e,a,r),n)];case"Reshape":return[t.reshape(u("x",e,a,r),u("shape",e,a,r))];case"PadV2":case"Pad":return[t.pad(u("x",e,a,r),f(u("padding",e,a,r),2),u("constantValue",e,a,r))];case"SpaceToBatchND":var s=u("blockShape",e,a,r),o=f(u("paddings",e,a,r),2);return[t.spaceToBatchND(u("x",e,a,r),s,o)];case"BatchToSpaceND":s=u("blockShape",e,a,r);var p=f(u("crops",e,a,r),2);return[t.batchToSpaceND(u("x",e,a,r),s,p)];case"DepthToSpace":var i=u("blockSize",e,a,r),m=u("dataFormat",e,a,r).toUpperCase();return[t.depthToSpace(u("x",e,a,r),i,m)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function ue(e,a,r){var n=function(e,a,r){switch(e.category){case"arithmetic":return t.tidy(function(){return H(e,a,r)});case"basic_math":return t.tidy(function(){return Q(e,a,r)});case"control":return X(e,a,r);case"convolution":return t.tidy(function(){return Z(e,a,r)});case"creation":return t.tidy(function(){return Y(e,a,r)});case"dynamic":return J(e,a,r);case"evaluation":return t.tidy(function(){return $(e,a,r)});case"image":return t.tidy(function(){return te(e,a,r)});case"graph":return t.tidy(function(){return ee(e,a,r)});case"logical":return t.tidy(function(){return ae(e,a,r)});case"matrices":return t.tidy(function(){return re(e,a,r)});case"normalization":return t.tidy(function(){return ne(e,a,r)});case"reduction":return t.tidy(function(){return se(e,a,r)});case"slice_join":return t.tidy(function(){return oe(e,a,r)});case"spectral":return t.tidy(function(){return pe(e,a,r)});case"transformation":return t.tidy(function(){return ie(e,a,r)});case"custom":var n=i(e.op);if(n&&n.customExecutor)return n.customExecutor(new W(e,a,r));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,a,r);return n instanceof Promise?n.then(function(e){return[].concat(e)}):[].concat(n)}var me=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}();function ce(e,t,a){for(var r=new Set,n=[],s=null,o=null,p=new Set,i=Object.keys(e).map(function(e){return y(e)[0]}),u=t.slice();u.length>0;){var m=u.pop();(fe(m)||le(m))&&null==s&&(o=(s=m).children.map(function(e){return e.name}).filter(function(e){return r.has(e)})),r.add(m.name),null==a[m.name]&&(-1===i.indexOf(m.name)&&(0!==m.inputs.length?m.inputs.forEach(function(e){p.has(e.name)||(p.add(e.name),u.push(e))}):n.push(m.name)))}return{inputs:e,outputs:t,usedNodes:r,missingInputs:n,dynamicNode:s,syncInputs:o}}var de=["Switch","Merge","Enter","Exit","NextIteration"],ye=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function fe(e){return de.indexOf(e.op)>=0}function le(e){return ye.indexOf(e.op)>=0}var he=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._outputs=e.outputs,this._inputs=e.inputs,this._signature=e.signature}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this._inputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this._inputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this._outputs.map(function(e){return e.signatureKey||e.name})},enumerable:!0,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var a=e.map(function(e){return e.name}).sort(),r=t.map(function(e){return e.name}).sort();return a.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.prototype.compile=function(e,t){var a=ce(e,t,this.weightMap),r=a.missingInputs,n=a.dynamicNode,s=a.syncInputs;if(null!=n)throw new Error("This execution contains the node '"+n.name+"', which has the dynamic op '"+n.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+s+"]");if(r.length>0){var o=t.map(function(e){return e.name}),p=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+p+"]. Missing the following inputs: ["+r+"]")}return function(e,t,a){var r=a.usedNodes,n=a.inputs,s=[];Object.keys(n).map(function(e){return y(e)[0]}).map(function(t){return e.nodes[t]}).forEach(function(e){r.has(e.name)&&s.push(e)}),e.weights.forEach(function(e){r.has(e.name)&&s.push(e)});for(var o=new Set,p=[];s.length>0;){var i=s.pop();o.add(i.name),t[i.name]||p.push(i),i.children.forEach(function(e){!o.has(e.name)&&r.has(e.name)&&e.inputs.every(function(e){return o.has(e.name)})&&s.push(e)})}return p}(this.graph,this.weightMap,a)},e.prototype.execute=function(e,a){var r=this;e=this.mapInputs(e);var s=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),a=this.mapOutputs(a),this.checkOutputs(a);var o=s.map(function(e){return r.graph.nodes[y(e)[0]]}),p=a.map(function(e){return r.graph.nodes[y(e)[0]]}),i=this.getCompilationKey(o,p),u=this.compiledMap.get(i);null==u&&(u=this.compile(e,p),this.compiledMap.set(i,u));var c={};return t.tidy(function(){var t=new me(r._weightMap,c),s=n({},r.weightMap);Object.keys(e).forEach(function(t){var a=y(t),r=a[0],n=[];n[a[1]]=e[t],s[r]=n});for(var o=r.getFrozenTensorIds(s),p={},i=0;i<u.length;i++){var d=u[i];if(!s[d.name]){var f=ue(d,s,t);if(f instanceof Promise)throw new Error("The execution of the op '"+d.op+"' returned a promise. Please use model.executeAsync() instead.");s[d.name]=f,r.checkTensorForDisposal(d.name,d,s,t,o,a,p)}}return a.map(function(e){return m(e,s,t)})})},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})}));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,a,r,n,s,o){"control"!==t.category&&-1===s.indexOf(e)&&(a[e].forEach(function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)}),t.inputs.forEach(function(e){if("control"!==e.category){var t=function(e,t,a){return t[d(e,a.currentContextId)]}(e.name,a,r);null!=t&&t.forEach(function(e){if(e&&!n.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}})}}))},e.prototype.executeAsync=function(e,t){return s(this,void 0,void 0,function(){var a,r,n,s,p,i,u=this;return o(this,function(o){switch(o.label){case 0:return e=this.mapInputs(e),this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t),a={},r=new me(this._weightMap,a),[4,this.executeWithControlFlow(e,r,t)];case 1:return n=o.sent(),s=t.map(function(e){return m(e,n,r)}),p=new Set(s.map(function(e){return e.id})),i=new Set(Object.keys(e).map(function(t){return e[t].id})),Object.keys(n).forEach(function(e){n[e].forEach(function(e){!e||e.isDisposed||p.has(e.id)||i.has(e.id)||-1!==u.weightIds.indexOf(e.id)||e.dispose()})}),[2,s]}})})},e.prototype.executeWithControlFlow=function(e,t,a){return s(this,void 0,void 0,function(){var r,s,p,i,u,c,d,f,l,h,N,g,b,x,T,v,O=this;return o(this,function(o){switch(o.label){case 0:r=Object.keys(e),s=r.map(function(e){return O.graph.nodes[y(e)[0]]}),p=a.map(function(e){return O.graph.nodes[y(e)[0]]}),i=ce(e,p,this.weightMap),u=i.usedNodes,c=i.missingInputs,d=i.dynamicNode,f=i.syncInputs,l=s.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),h=n({},this.weightMap),Object.keys(e).forEach(function(t){var a=y(t),r=a[0],n=[];n[a[1]]=e[t],h[r]=n}),N={},g=this.getFrozenTensorIds(h),b={},o.label=1;case 1:return l.length>0?(x=this.processStack(s,l,t,h,b,g,a,N,u),[4,Promise.all(x)]):[3,3];case 2:return o.sent(),[3,1];case 3:if(null==d&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(T=p.filter(function(e){return!fe(e)&&!m(e.name,h,t)}).map(function(e){return e.name})).length>0)throw v="",null!=d&&(v="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+f+"]"),new Error("Cannot compute the outputs ["+T+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+c+"]. "+v);return[2,h]}})})},e.prototype.processStack=function(e,t,a,r,n,s,o,p,i){for(var m=this,d=[],y=function(){var y=t.pop();a.currentContext=y.contexts;var l="";if("Enter"===y.node.op&&u("isConstant",y.node,r,a)&&(l=c(y.node.name,a)[0]),-1===e.indexOf(y.node)){var h=ue(y.node,r,a);l||(l=c(y.node.name,a)[0]);var N=a.currentContext;h instanceof Promise?d.push(h.then(function(e){return r[l]=e,a.currentContext=N,m.checkTensorForDisposal(l,y.node,r,a,s,o,p),m.processChildNodes(y.node,t,a,r,n,i),e})):(r[l]=h,f.checkTensorForDisposal(l,y.node,r,a,s,o,p),f.processChildNodes(y.node,t,a,r,n,i))}else f.processChildNodes(y.node,t,a,r,n,i)},f=this;t.length>0;)y();return d},e.prototype.processChildNodes=function(e,t,a,r,n,s){e.children.forEach(function(e){var o=c(e.name,a)[0];!n[o]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some(function(e){return!!m(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!m(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e){var a=this;Object.keys(e).forEach(function(r){var n=e[r],s=y(r)[0],o=a.graph.nodes[s];if(o.attrParams.shape&&o.attrParams.shape.value){var p=o.attrParams.shape.value,i=p.length===n.shape.length&&n.shape.every(function(e,t){return-1===p[t]||p[t]===e});t.util.assert(i,function(){return"The shape of dict['"+o.name+"'] provided in model.execute(dict) must be ["+p+"], but was ["+n.shape+"]"})}o.attrParams.dtype&&o.attrParams.dtype.value&&t.util.assert(n.dtype===o.attrParams.dtype.value,function(){return"The dtype of dict['"+o.name+"'] provided in model.execute(dict) must be "+o.attrParams.dtype.value+", but was "+n.dtype})})},e.prototype.mapInputs=function(e){var t={};for(var a in e){if(null!=this._signature&&null!=this._signature.inputs&&null!=this._signature.inputs[a])t[this._signature.inputs[a].name]=e[a];else t[a]=e[a]}return t},e.prototype.checkInputs=function(e){var t=this,a=Object.keys(e).filter(function(e){var a=y(e)[0];return null==t.graph.nodes[a]});if(a.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+a+"] that are not part of graph")},e.prototype.mapOutputs=function(e){var t=this;return e.map(function(e){return null!=t._signature&&null!=t._signature.outputs&&null!=t._signature.outputs[e]?t._signature.outputs[e].name:e},{})},e.prototype.checkOutputs=function(e){var t=this;e.forEach(function(e){var a=y(e)[0];if(!t.graph.nodes[a])throw new Error("The output '"+e+"' is not found in the graph")})},e}(),Ne="?tfjs-format=file",ge="model.json",be=function(){function e(e,t){void 0===t&&(t={}),this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={})}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=t.io.browserHTTPRequest(e,this.loadOptions);else{var a=t.io.getLoadHandlers(e,this.loadOptions.onProgress);if(0===a.length)a.push(t.io.browserHTTPRequest(e,this.loadOptions));else if(a.length>1)throw new Error("Found more than one ("+a.length+") load handlers for URL '"+[e]+"'");this.handler=a[0]}},e.prototype.load=function(){return s(this,void 0,void 0,function(){var e,a,r,n;return o(this,function(s){switch(s.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return e=this,[4,this.handler.load()];case 1:return e.artifacts=s.sent(),a=this.artifacts.modelTopology,r={},null!=this.artifacts.userDefinedMetadata&&(r=this.artifacts.userDefinedMetadata.signature),this.version=a.versions.producer+"."+a.versions.minConsumer,n=t.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs),this.executor=new he(V.Instance.transformGraph(a,r)),this.executor.weightMap=this.convertTensorMapToTensorsMap(n),[2,!0]}})})},e.prototype.save=function(e,a){return s(this,void 0,void 0,function(){var a;return o(this,function(r){if("string"==typeof e){if(0===(a=t.io.getSaveHandlers(e)).length)throw new Error("Cannot find any save handlers for URL '"+e+"'");if(a.length>1)throw new Error("Found more than one ("+a.length+") save handlers for URL '"+e+"'");e=a[0]}if(null==e.save)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,e.save(this.artifacts)]})})},e.prototype.predict=function(e,t){return this.execute(e,this.outputNodes)},e.prototype.normalizeInputs=function(e){if(!(e instanceof t.Tensor||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,the graph model has "+this.inputNodes.length+" placeholders, while there are "+e.length+" input tensors.");return this.inputNodes.reduce(function(t,a,r){return t[a]=e[r],t},{})},e.prototype.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},e.prototype.execute=function(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var a=this.executor.execute(e,t);return a.length>1?a:a[0]},e.prototype.executeAsync=function(e,t){return s(this,void 0,void 0,function(){var a;return o(this,function(r){switch(r.label){case 0:return e=this.normalizeInputs(e),t=this.normalizeOutputs(t),[4,this.executor.executeAsync(e,t)];case 1:return[2,(a=r.sent()).length>1?a:a[0]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();e.GraphModel=be,e.loadGraphModel=function(e,t){return void 0===t&&(t={}),s(this,void 0,void 0,function(){var a;return o(this,function(r){switch(r.label){case 0:if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==t&&(t={}),t.fromTFHub&&null==e.load&&(e.endsWith("/")||(e+="/"),e=""+e+ge+Ne),[4,(a=new be(e,t)).load()];case 1:return r.sent(),[2,a]}})})},e.deregisterOp=function(e){delete p[e]},e.registerOp=function(e,t){var a={tfOpName:e,category:"custom",inputs:[],attrs:[],customExecutor:t};p[e]=a},e.version_converter="1.7.4",Object.defineProperty(e,"__esModule",{value:!0})});
 //# sourceMappingURL=tf-converter.min.js.map
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.min.js.map b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.min.js.map
index dd0ee0709..8d6dfa132 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.min.js.map
+++ b/node_modules/@tensorflow/tfjs-converter/dist/tf-converter.min.js.map
@@ -1 +1 @@
-{"version":3,"file":"tf-converter.min.js","sources":["../src/data/compiled_api.ts","../src/operations/custom_op/register.ts","../src/operations/executors/utils.ts","../src/operations/op_list/arithmetic.ts","../src/operations/op_list/basic_math.ts","../src/operations/op_list/control.ts","../src/operations/op_list/convolution.ts","../src/operations/op_list/creation.ts","../src/operations/op_list/dynamic.ts","../src/operations/op_list/evaluation.ts","../src/operations/op_list/graph.ts","../src/operations/op_list/image.ts","../src/operations/op_list/logical.ts","../src/operations/op_list/matrices.ts","../src/operations/op_list/normalization.ts","../src/operations/op_list/reduction.ts","../src/operations/op_list/slice_join.ts","../src/operations/op_list/spectral.ts","../src/operations/op_list/transformation.ts","../src/operations/operation_mapper.ts","../src/operations/custom_op/node_value_impl.ts","../src/operations/executors/arithmetic_executor.ts","../src/operations/executors/basic_math_executor.ts","../src/executor/tensor_array.ts","../src/operations/executors/control_executor.ts","../src/operations/executors/convolution_executor.ts","../src/operations/executors/creation_executor.ts","../src/operations/executors/dynamic_executor.ts","../src/operations/executors/evaluation_executor.ts","../src/operations/executors/graph_executor.ts","../src/operations/executors/image_executor.ts","../src/operations/executors/logical_executor.ts","../src/operations/executors/matrices_executor.ts","../src/operations/executors/normalization_executor.ts","../src/operations/executors/reduction_executor.ts","../src/operations/executors/slice_join_executor.ts","../src/operations/executors/spectral_executor.ts","../src/operations/executors/transformation_executor.ts","../src/operations/operation_executor.ts","../src/executor/execution_context.ts","../src/executor/model_analysis.ts","../src/executor/graph_executor.ts","../src/executor/graph_model.ts","../src/version.ts"],"sourcesContent":["/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPoolWithArgmax',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'}, {\n        'tfName': 'include_batch_in_index',\n        'name': 'includeBatchInIndex',\n        'type': 'bool'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n    case tensorflow.DataType.DT_INT8:\n    case tensorflow.DataType.DT_UINT8:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Conv1D': {\n      const stride =\n          getParamValue('stride', node, tensorMap, context) as number;\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilation =\n          getParamValue('dilation', node, tensorMap, context) as number;\n      return [tfc.conv1d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n          stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n          dilation)];\n    }\n    case 'Conv2D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv2d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case '_FusedConv2D':\n    case 'FusedDepthwiseConv2dNative': {\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n      const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n              'must have two extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n              'one extra argument: bias.');\n        }\n      }\n      if (isBatchNorm) {\n        throw new Error(\n            'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n      }\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      const kernelMethod = node.op === '_FusedConv2D' ?\n          tfc.fused.conv2d :\n          tfc.fused.depthwiseConv2d;\n      return [kernelMethod({\n        x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n            tfc.Tensor4D,\n        filter: getParamValue('filter', node, tensorMap, context) as\n            tfc.Tensor4D,\n        strides: [stride[1], stride[2]],\n        pad: pad as 'valid' | 'same',\n        dataFormat: dataFormat as 'NHWC' | 'NCHW',\n        dilations: [dilations[1], dilations[2]],\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n    }\n    case 'Conv2DBackpropInput':\n    case 'Conv2dTranspose': {\n      const shape = getParamValue(\n                        'outputShape', node, tensorMap,\n                        context) as [number, number, number] |\n          [number, number, number, number];\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      return [tfc.conv2dTranspose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n    }\n    case 'DepthwiseConv2dNative':\n    case 'DepthwiseConv2d': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n\n      return [tfc.depthwiseConv2d(\n          getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case 'Conv3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n              tfc.Tensor<tfc.Rank.R5>,\n          getParamValue('filter', node, tensorMap, context) as\n              tfc.Tensor<tfc.Rank.R5>,\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n          dataFormat as 'NDHWC' | 'NCDHW',\n          [dilations[1], dilations[2], dilations[3]])];\n    }\n    case 'AvgPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPoolWithArgmax': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n      const includeBatchInIndex =\n          getParamValue('includeBatchInIndex', node, tensorMap, context) as\n          boolean;\n      const {result, indexes} = tfc.maxPoolWithArgmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same', includeBatchInIndex);\n      return [result, indexes];\n    }\n    case 'AvgPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    case 'MaxPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      const condition =\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool');\n      const result = [await tfc.whereAsync(condition)];\n      condition.dispose();\n      return result;\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return tfc.tidy(\n                () => arithmetic.executeOp(node, tensorMap, context));\n          case 'basic_math':\n            return tfc.tidy(\n                () => basicMath.executeOp(node, tensorMap, context));\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return tfc.tidy(\n                () => convolution.executeOp(node, tensorMap, context));\n          case 'creation':\n            return tfc.tidy(() => creation.executeOp(node, tensorMap, context));\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return tfc.tidy(\n                () => evaluation.executeOp(node, tensorMap, context));\n          case 'image':\n            return tfc.tidy(() => image.executeOp(node, tensorMap, context));\n          case 'graph':\n            return tfc.tidy(() => graph.executeOp(node, tensorMap, context));\n          case 'logical':\n            return tfc.tidy(() => logical.executeOp(node, tensorMap, context));\n          case 'matrices':\n            return tfc.tidy(() => matrices.executeOp(node, tensorMap, context));\n          case 'normalization':\n            return tfc.tidy(\n                () => normalization.executeOp(node, tensorMap, context));\n          case 'reduction':\n            return tfc.tidy(\n                () => reduction.executeOp(node, tensorMap, context));\n          case 'slice_join':\n            return tfc.tidy(\n                () => sliceJoin.executeOp(node, tensorMap, context));\n          case 'spectral':\n            return tfc.tidy(() => spectral.executeOp(node, tensorMap, context));\n          case 'transformation':\n            return tfc.tidy(\n                () => transformation.executeOp(node, tensorMap, context));\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.2';\nexport 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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n *\n * =============================================================================\n */\n\n/* tslint:disable */\n\n/** Properties of an Any. */\nexport declare interface IAny {\n  /** Any typeUrl */\n  typeUrl?: (string|null);\n\n  /** Any value */\n  value?: (Uint8Array|null);\n}\n\n/** DataType enum. */\nexport enum DataType {\n  'DT_INVALID' = 0,\n  'DT_FLOAT' = 1,\n  'DT_DOUBLE' = 2,\n  'DT_INT32' = 3,\n  'DT_UINT8' = 4,\n  'DT_INT16' = 5,\n  'DT_INT8' = 6,\n  'DT_STRING' = 7,\n  'DT_COMPLEX64' = 8,\n  'DT_INT64' = 9,\n  'DT_BOOL' = 10,\n  'DT_QINT8' = 11,\n  'DT_QUINT8' = 12,\n  'DT_QINT32' = 13,\n  'DT_BFLOAT16' = 14,\n  'DT_FLOAT_REF' = 101,\n  'DT_DOUBLE_REF' = 102,\n  'DT_INT32_REF' = 103,\n  'DT_UINT8_REF' = 104,\n  'DT_INT16_REF' = 105,\n  'DT_INT8_REF' = 106,\n  'DT_STRING_REF' = 107,\n  'DT_COMPLEX64_REF' = 108,\n  'DT_INT64_REF' = 109,\n  'DT_BOOL_REF' = 110,\n  'DT_QINT8_REF' = 111,\n  'DT_QUINT8_REF' = 112,\n  'DT_QINT32_REF' = 113,\n  'DT_BFLOAT16_REF' = 114\n}\n\n/** Properties of a TensorShape. */\nexport declare interface ITensorShape {\n  /** TensorShape dim */\n  dim?: (TensorShape.IDim[]|null);\n\n  /** TensorShape unknownRank */\n  unknownRank?: (boolean|null);\n}\n\nexport namespace TensorShape {\n  /** Properties of a Dim. */\n  export declare interface IDim {\n    /** Dim size */\n    size?: (number|string|null);\n\n    /** Dim name */\n    name?: (string|null);\n  }\n}\n\n/** Properties of a Tensor. */\nexport declare interface ITensor {\n  /** Tensor dtype */\n  dtype?: (DataType|null);\n\n  /** Tensor tensorShape */\n  tensorShape?: (ITensorShape|null);\n\n  /** Tensor versionNumber */\n  versionNumber?: (number|null);\n\n  /** Tensor tensorContent */\n  tensorContent?: (Uint8Array|null);\n\n  /** Tensor floatVal */\n  floatVal?: (number[]|null);\n\n  /** Tensor doubleVal */\n  doubleVal?: (number[]|null);\n\n  /** Tensor intVal */\n  intVal?: (number[]|null);\n\n  /** Tensor stringVal */\n  stringVal?: (Uint8Array[]|null);\n\n  /** Tensor scomplexVal */\n  scomplexVal?: (number[]|null);\n\n  /** Tensor int64Val */\n  int64Val?: ((number | string)[]|null);\n\n  /** Tensor boolVal */\n  boolVal?: (boolean[]|null);\n\n  /** Tensor uint32Val */\n  uint32Val?: (number[]|null);\n\n  /** Tensor uint64Val */\n  uint64Val?: ((number | string)[]|null);\n}\n\n/** Properties of an AttrValue. */\nexport declare interface IAttrValue {\n  /** AttrValue list */\n  list?: (AttrValue.IListValue|null);\n\n  /** AttrValue s */\n  s?: (string|null);\n\n  /** AttrValue i */\n  i?: (number|string|null);\n\n  /** AttrValue f */\n  f?: (number|null);\n\n  /** AttrValue b */\n  b?: (boolean|null);\n\n  /** AttrValue type */\n  type?: (DataType|null);\n\n  /** AttrValue shape */\n  shape?: (ITensorShape|null);\n\n  /** AttrValue tensor */\n  tensor?: (ITensor|null);\n\n  /** AttrValue placeholder */\n  placeholder?: (string|null);\n\n  /** AttrValue func */\n  func?: (INameAttrList|null);\n}\n\nexport namespace AttrValue {\n  /** Properties of a ListValue. */\n  export declare interface IListValue {\n    /** ListValue s */\n    s?: (string[]|null);\n\n    /** ListValue i */\n    i?: ((number | string)[]|null);\n\n    /** ListValue f */\n    f?: (number[]|null);\n\n    /** ListValue b */\n    b?: (boolean[]|null);\n\n    /** ListValue type */\n    type?: (DataType[]|null);\n\n    /** ListValue shape */\n    shape?: (ITensorShape[]|null);\n\n    /** ListValue tensor */\n    tensor?: (ITensor[]|null);\n\n    /** ListValue func */\n    func?: (INameAttrList[]|null);\n  }\n}\n\n/** Properties of a NameAttrList. */\nexport declare interface INameAttrList {\n  /** NameAttrList name */\n  name?: (string|null);\n\n  /** NameAttrList attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a NodeDef. */\nexport declare interface INodeDef {\n  /** NodeDef name */\n  name?: (string|null);\n\n  /** NodeDef op */\n  op?: (string|null);\n\n  /** NodeDef input */\n  input?: (string[]|null);\n\n  /** NodeDef device */\n  device?: (string|null);\n\n  /** NodeDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n}\n\n/** Properties of a VersionDef. */\nexport declare interface IVersionDef {\n  /** VersionDef producer */\n  producer?: (number|null);\n\n  /** VersionDef minConsumer */\n  minConsumer?: (number|null);\n\n  /** VersionDef badConsumers */\n  badConsumers?: (number[]|null);\n}\n\n/** Properties of a GraphDef. */\nexport declare interface IGraphDef {\n  /** GraphDef node */\n  node?: (INodeDef[]|null);\n\n  /** GraphDef versions */\n  versions?: (IVersionDef|null);\n\n  /** GraphDef library */\n  library?: (IFunctionDefLibrary|null);\n}\n\n/** Properties of a CollectionDef. */\nexport declare interface ICollectionDef {\n  /** CollectionDef nodeList */\n  nodeList?: (CollectionDef.INodeList|null);\n\n  /** CollectionDef bytesList */\n  bytesList?: (CollectionDef.IBytesList|null);\n\n  /** CollectionDef int64List */\n  int64List?: (CollectionDef.IInt64List|null);\n\n  /** CollectionDef floatList */\n  floatList?: (CollectionDef.IFloatList|null);\n\n  /** CollectionDef anyList */\n  anyList?: (CollectionDef.IAnyList|null);\n}\n\nexport namespace CollectionDef {\n  /** Properties of a NodeList. */\n  export declare interface INodeList {\n    /** NodeList value */\n    value?: (string[]|null);\n  }\n\n  /** Properties of a BytesList. */\n  export declare interface IBytesList {\n    /** BytesList value */\n    value?: (Uint8Array[]|null);\n  }\n\n  /** Properties of an Int64List. */\n  export declare interface IInt64List {\n    /** Int64List value */\n    value?: ((number | string)[]|null);\n  }\n\n  /** Properties of a FloatList. */\n  export declare interface IFloatList {\n    /** FloatList value */\n    value?: (number[]|null);\n  }\n\n  /** Properties of an AnyList. */\n  export declare interface IAnyList {\n    /** AnyList value */\n    value?: (IAny[]|null);\n  }\n}\n\n/** Properties of a SaverDef. */\nexport declare interface ISaverDef {\n  /** SaverDef filenameTensorName */\n  filenameTensorName?: (string|null);\n\n  /** SaverDef saveTensorName */\n  saveTensorName?: (string|null);\n\n  /** SaverDef restoreOpName */\n  restoreOpName?: (string|null);\n\n  /** SaverDef maxToKeep */\n  maxToKeep?: (number|null);\n\n  /** SaverDef sharded */\n  sharded?: (boolean|null);\n\n  /** SaverDef keepCheckpointEveryNHours */\n  keepCheckpointEveryNHours?: (number|null);\n\n  /** SaverDef version */\n  version?: (SaverDef.CheckpointFormatVersion|null);\n}\n\nexport namespace SaverDef {\n  /** CheckpointFormatVersion enum. */\n  export enum CheckpointFormatVersion {'LEGACY' = 0, 'V1' = 1, 'V2' = 2}\n}\n\n/** Properties of a TensorInfo. */\nexport declare interface ITensorInfo {\n  /** TensorInfo name */\n  name?: (string|null);\n\n  /** TensorInfo cooSparse */\n  cooSparse?: (TensorInfo.ICooSparse|null);\n\n  /** TensorInfo dtype */\n  dtype?: (DataType|null);\n\n  /** TensorInfo tensorShape */\n  tensorShape?: (ITensorShape|null);\n}\n\nexport namespace TensorInfo {\n  /** Properties of a CooSparse. */\n  export declare interface ICooSparse {\n    /** CooSparse valuesTensorName */\n    valuesTensorName?: (string|null);\n\n    /** CooSparse indicesTensorName */\n    indicesTensorName?: (string|null);\n\n    /** CooSparse denseShapeTensorName */\n    denseShapeTensorName?: (string|null);\n  }\n}\n\n/** Properties of a SignatureDef. */\nexport declare interface ISignatureDef {\n  /** SignatureDef inputs */\n  inputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef outputs */\n  outputs?: ({[k: string]: ITensorInfo}|null);\n\n  /** SignatureDef methodName */\n  methodName?: (string|null);\n}\n\n/** Properties of an AssetFileDef. */\nexport declare interface IAssetFileDef {\n  /** AssetFileDef tensorInfo */\n  tensorInfo?: (ITensorInfo|null);\n\n  /** AssetFileDef filename */\n  filename?: (string|null);\n}\n\n/** Properties of an OpDef. */\nexport declare interface IOpDef {\n  /** OpDef name */\n  name?: (string|null);\n\n  /** OpDef inputArg */\n  inputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef outputArg */\n  outputArg?: (OpDef.IArgDef[]|null);\n\n  /** OpDef attr */\n  attr?: (OpDef.IAttrDef[]|null);\n\n  /** OpDef deprecation */\n  deprecation?: (OpDef.IOpDeprecation|null);\n\n  /** OpDef summary */\n  summary?: (string|null);\n\n  /** OpDef description */\n  description?: (string|null);\n\n  /** OpDef isCommutative */\n  isCommutative?: (boolean|null);\n\n  /** OpDef isAggregate */\n  isAggregate?: (boolean|null);\n\n  /** OpDef isStateful */\n  isStateful?: (boolean|null);\n\n  /** OpDef allowsUninitializedInput */\n  allowsUninitializedInput?: (boolean|null);\n}\n\nexport namespace OpDef {\n  /** Properties of an ArgDef. */\n  export declare interface IArgDef {\n    /** ArgDef name */\n    name?: (string|null);\n\n    /** ArgDef description */\n    description?: (string|null);\n\n    /** ArgDef type */\n    type?: (DataType|null);\n\n    /** ArgDef typeAttr */\n    typeAttr?: (string|null);\n\n    /** ArgDef numberAttr */\n    numberAttr?: (string|null);\n\n    /** ArgDef typeListAttr */\n    typeListAttr?: (string|null);\n\n    /** ArgDef isRef */\n    isRef?: (boolean|null);\n  }\n\n  /** Properties of an AttrDef. */\n  export declare interface IAttrDef {\n    /** AttrDef name */\n    name?: (string|null);\n\n    /** AttrDef type */\n    type?: (string|null);\n\n    /** AttrDef defaultValue */\n    defaultValue?: (IAttrValue|null);\n\n    /** AttrDef description */\n    description?: (string|null);\n\n    /** AttrDef hasMinimum */\n    hasMinimum?: (boolean|null);\n\n    /** AttrDef minimum */\n    minimum?: (number|string|null);\n\n    /** AttrDef allowedValues */\n    allowedValues?: (IAttrValue|null);\n  }\n\n  /** Properties of an OpDeprecation. */\n  export declare interface IOpDeprecation {\n    /** OpDeprecation version */\n    version?: (number|null);\n\n    /** OpDeprecation explanation */\n    explanation?: (string|null);\n  }\n}\n\n/** Properties of an OpList. */\nexport declare interface IOpList {\n  /** OpList op */\n  op?: (IOpDef[]|null);\n}\n\n/** Properties of a MetaGraphDef. */\nexport declare interface IMetaGraphDef {\n  /** MetaGraphDef metaInfoDef */\n  metaInfoDef?: (MetaGraphDef.IMetaInfoDef|null);\n\n  /** MetaGraphDef graphDef */\n  graphDef?: (IGraphDef|null);\n\n  /** MetaGraphDef saverDef */\n  saverDef?: (ISaverDef|null);\n\n  /** MetaGraphDef collectionDef */\n  collectionDef?: ({[k: string]: ICollectionDef}|null);\n\n  /** MetaGraphDef signatureDef */\n  signatureDef?: ({[k: string]: ISignatureDef}|null);\n\n  /** MetaGraphDef assetFileDef */\n  assetFileDef?: (IAssetFileDef[]|null);\n}\n\nexport namespace MetaGraphDef {\n  /** Properties of a MetaInfoDef. */\n  export declare interface IMetaInfoDef {\n    /** MetaInfoDef metaGraphVersion */\n    metaGraphVersion?: (string|null);\n\n    /** MetaInfoDef strippedOpList */\n    strippedOpList?: (IOpList|null);\n\n    /** MetaInfoDef anyInfo */\n    anyInfo?: (IAny|null);\n\n    /** MetaInfoDef tags */\n    tags?: (string[]|null);\n\n    /** MetaInfoDef tensorflowVersion */\n    tensorflowVersion?: (string|null);\n\n    /** MetaInfoDef tensorflowGitVersion */\n    tensorflowGitVersion?: (string|null);\n  }\n}\n\n/** Properties of a SavedModel. */\nexport declare interface ISavedModel {\n  /** SavedModel savedModelSchemaVersion */\n  savedModelSchemaVersion?: (number|string|null);\n\n  /** SavedModel metaGraphs */\n  metaGraphs?: (IMetaGraphDef[]|null);\n}\n\n/** Properties of a FunctionDefLibrary. */\nexport declare interface IFunctionDefLibrary {\n  /** FunctionDefLibrary function */\n  'function'?: (IFunctionDef[]|null);\n\n  /** FunctionDefLibrary gradient */\n  gradient?: (IGradientDef[]|null);\n}\n\n/** Properties of a FunctionDef. */\nexport declare interface IFunctionDef {\n  /** FunctionDef signature */\n  signature?: (IOpDef|null);\n\n  /** FunctionDef attr */\n  attr?: ({[k: string]: IAttrValue}|null);\n\n  /** FunctionDef nodeDef */\n  nodeDef?: (INodeDef[]|null);\n\n  /** FunctionDef ret */\n  ret?: ({[k: string]: string}|null);\n}\n\n/** Properties of a GradientDef. */\nexport declare interface IGradientDef {\n  /** GradientDef functionName */\n  functionName?: (string|null);\n\n  /** GradientDef gradientFunc */\n  gradientFunc?: (string|null);\n}\n","\n/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpExecutor, OpMapper} from '../types';\n\nconst CUSTOM_OPS: {[key: string]: OpMapper} = {};\n\n/**\n * Register an Op for graph model executor. This allow you to register\n * TensorFlow custom op or override existing op.\n *\n * Here is an example of registering a new MatMul Op.\n * ```js\n * const customMatmul = (node) =>\n *    tf.matMul(\n *        node.inputs[0], node.inputs[1],\n *        node.attrs['transpose_a'], node.attrs['transpose_b']);\n *\n * tf.registerOp('MatMul', customMatmul);\n * ```\n * The inputs and attrs of the node object is based on the TensorFlow op\n * registry.\n *\n * @param name The Tensorflow Op name.\n * @param opFunc An op function which is called with the current graph node\n * during execution and needs to return a tensor or a list of tensors. The node\n * has the following attributes:\n *    - attr: A map from attribute name to its value\n *    - inputs: A list of input tensors\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function registerOp(name: string, opFunc: OpExecutor) {\n  const opMapper: OpMapper = {\n    tfOpName: name,\n    category: 'custom',\n    inputs: [],\n    attrs: [],\n    customExecutor: opFunc\n  };\n\n  CUSTOM_OPS[name] = opMapper;\n}\n\n/**\n * Retrieve the OpMapper object for the registered op.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\n\nexport function getRegisteredOp(name: string): OpMapper {\n  return CUSTOM_OPS[name];\n}\n\n/**\n * Deregister the Op for graph model executor.\n *\n * @param name The Tensorflow Op name.\n */\n/** @doc {heading: 'Models', subheading: 'Op Registry'} */\nexport function deregisterOp(name: string) {\n  delete CUSTOM_OPS[name];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {Node, ValueType} from '../types';\n\nexport function getParamValue(\n    paramName: string, node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): ValueType {\n  const inputParam = node.inputParams[paramName];\n  if (inputParam && inputParam.inputIndexStart !== undefined) {\n    const start = inputParam.inputIndexStart;\n    const end = inputParam.inputIndexEnd === 0 ?\n        undefined :\n        (inputParam.inputIndexEnd === undefined ? start + 1 :\n                                                  inputParam.inputIndexEnd);\n    if (inputParam.type === 'tensor') {\n      return getTensor(\n          node.inputNames[inputParam.inputIndexStart], tensorMap, context);\n    }\n    if (inputParam.type === 'tensors') {\n      const inputs = node.inputNames.slice(start, end);\n\n      return inputs.map(name => getTensor(name, tensorMap, context));\n    }\n    const data = Array.prototype.slice.call(\n        getTensor(node.inputNames.slice(start)[0], tensorMap, context)\n            .dataSync());\n    return inputParam.type === 'number' ? data[0] : data;\n  }\n  const attrParam = node.attrParams[paramName];\n  return attrParam && attrParam.value;\n}\n\n/**\n * Retrieve the tensor based on input name by extracting the node name and\n * output index information.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensor(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor {\n  const [nodeName, index] = parseNodeName(name);\n  const contextId = context.currentContextIds.find(contextId => {\n    return !!tensorsMap[getNodeNameWithContextId(nodeName, contextId)];\n  });\n\n  return contextId !== undefined ?\n      tensorsMap[getNodeNameWithContextId(nodeName, contextId)][index] :\n      undefined;\n}\n\n/**\n * Retrieve the tensors based on input name for current context.\n * @param name Node input name\n * @param tensorsMap Tensors map keyed by the node\n */\nexport function getTensorsForCurrentContenxt(\n    name: string, tensorsMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[] {\n  return tensorsMap[getNodeNameWithContextId(name, context.currentContextId)];\n}\n\n/**\n * Returns the node name and index from the Node input name.\n * @param inputName The input name of the node, in format of\n * node_name:output_index, i.e. MatMul:0, if the output_index is not set, it is\n * default to 0.\n */\nexport function getNodeNameAndIndex(\n    inputName: string, context?: ExecutionContext): [string, number] {\n  const [nodeName, index] = parseNodeName(inputName);\n\n  return [\n    getNodeNameWithContextId(nodeName, context && context.currentContextId),\n    index\n  ];\n}\n\nfunction getNodeNameWithContextId(name: string, contextId?: string): string {\n  return !!contextId ? `${name}-${contextId}` : name;\n}\n\nexport function parseNodeName(name: string): [string, number] {\n  const index = name.lastIndexOf(':');\n  if (index === -1) {\n    return [name, 0];\n  }\n\n  const nodeName = name.substring(0, index);\n  return [nodeName, Number(name.substring(index + 1))];\n}\n\nexport function split(arr: number[], size: number) {\n  const res = [];\n  for (let i = 0; i < arr.length; i += size) {\n    res.push(arr.slice(i, i + size));\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Add',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddV2',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AddN',\n    'category': 'arithmetic',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'BiasAdd',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sub',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'RealDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Div',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'DivNoNan',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorDiv',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mul',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Maximum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Minimum',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Pow',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SquaredDifference',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Mod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'FloorMod',\n    'category': 'arithmetic',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Abs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atan2',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ceil',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ClipByValue',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'clip_value_min', 'name': 'clipValueMin', 'type': 'number'},\n      {'tfName': 'clip_value_max', 'name': 'clipValueMax', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Complex',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'real', 'type': 'tensor'},\n      {'start': 1, 'name': 'imag', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ComplexAbs',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cos',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Cosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Elu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Exp',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Floor',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Imag',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Neg',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Real',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'Tout',\n        'name': 'outputType',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Prelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'alpha', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Relu6',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'clipValueMin',\n        'name': 'clipValueMin',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'clipValueMax',\n        'name': 'clipValueMax',\n        'type': 'number',\n        'defaultValue': 6\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Selu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sigmoid',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sin',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Rsqrt',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Square',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tan',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Tanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Sign',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Round',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Expm1',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Log1p',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Reciprocal',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Softplus',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Asinh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Acosh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Atanh',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Erf',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axes', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'keep_dims',\n        'name': 'keepDims',\n        'type': 'bool',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LeakyRelu',\n    'category': 'basic_math',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 0.2\n      },\n      {\n        'tfName': 'T',\n        'name': 'dtype',\n        'type': 'dtype',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'LoopCond',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'pred', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Switch',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'data', 'type': 'tensor'},\n      {'start': 1, 'name': 'pred', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'Merge',\n    'category': 'control',\n    'inputs':\n        [{'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Enter',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'frame_name', 'name': 'frameName', 'type': 'string'},\n      {'tfName': 'is_constant', 'name': 'isConstant', 'type': 'bool'}\n    ]\n  },\n  {\n    'tfOpName': 'Exit',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NextIteration',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'size', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'},\n      {'tfName': 'dynamic_size', 'name': 'dynamicSize', 'type': 'bool'},\n      {'tfName': 'clear_after_read', 'name': 'clearAfterRead', 'type': 'bool'},\n      {\n        'tfName': 'identical_element_shapes',\n        'name': 'identicalElementShapes',\n        'type': 'bool'\n      },\n      {'tfName': 'tensor_array_name', 'name': 'name', 'type': 'string'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayWriteV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayReadV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'index', 'type': 'number'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{\n      'tfName': 'dtype',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  },\n  {\n    'tfOpName': 'TensorArrayGatherV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'element_shape', 'name': 'elementShape', 'type': 'shape'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayScatterV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'indices', 'type': 'number[]'},\n      {'start': 2, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArrayConcatV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}, {\n        'tfName': 'element_shape_except0',\n        'name': 'elementShapeExcept0',\n        'type': 'shape',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'TensorArraySplitV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'tensor', 'type': 'tensor'},\n      {'start': 2, 'name': 'lengths', 'type': 'number[]'},\n      {'start': 3, 'name': 'flowIn', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TensorArraySizeV3',\n    'category': 'control',\n    'inputs': [\n      {'start': 0, 'name': 'tensorArrayId', 'type': 'number'},\n      {'start': 1, 'name': 'flowIn', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'TensorArrayCloseV3',\n    'category': 'control',\n    'inputs': [{'start': 0, 'name': 'tensorArrayId', 'type': 'number'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'AvgPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPoolWithArgmax',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'}, {\n        'tfName': 'include_batch_in_index',\n        'name': 'includeBatchInIndex',\n        'type': 'bool'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'AvgPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MaxPool3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      },\n      {'tfName': 'ksize', 'name': 'kernelSize', 'type': 'number[]'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Conv1D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'stride', 'name': 'stride', 'type': 'number'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NWC'\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}, {\n        'tfName': 'dilation',\n        'name': 'dilation',\n        'type': 'number',\n        'defaultValue': 1\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {'tfName': 'useCudnnOnGpu', 'name': 'useCudnnOnGpu', 'type': 'bool'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': '_FusedConv2D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'},\n      {\n        'tfName': 'explicit_paddings',\n        'name': 'explicitPaddings',\n        'type': 'number[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'use_cudnn_on_gpu',\n        'name': 'useCudnnOnGpu',\n        'type': 'bool',\n        'defaultValue': true\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n    ]\n  },\n  {\n    'tfOpName': 'Conv2DBackpropInput',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 2, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 0, 'name': 'outputShape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2d',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'input', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'FusedDepthwiseConv2dNative',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true},\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {\n        'tfName': 'dilations',\n        'name': 'dilations',\n        'type': 'number[]',\n        'defaultValue': [1, 1, 1, 1]\n      },\n      {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Conv3D',\n    'category': 'convolution',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'filter', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'strides', 'name': 'strides', 'type': 'number[]'},\n      {'tfName': 'padding', 'name': 'pad', 'type': 'string'}, {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'defaultValue': 'NHWC'\n      },\n      {'tfName': 'dilations', 'name': 'dilations', 'type': 'number[]'}\n    ],\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Fill',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n      {'start': 1, 'name': 'value', 'type': 'number'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'LinSpace',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'num', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'OneHot',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'depth', 'type': 'number'},\n      {'start': 2, 'name': 'onValue', 'type': 'number', 'defaultValue': 1},\n      {'start': 3, 'name': 'offValue', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [\n      {\n        'tfName': 'axis',\n        'name': 'axis',\n        'type': 'number',\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Ones',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'OnesLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'RandomUniform',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'minval',\n        'name': 'minval',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'maxval',\n        'name': 'maxval',\n        'type': 'number',\n        'defaultValue': 1\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Range',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'start', 'type': 'number'},\n      {'start': 1, 'name': 'stop', 'type': 'number'},\n      {'start': 2, 'name': 'step', 'type': 'number', 'defaultValue': 0},\n    ],\n    'attrs': [{'tfName': 'Tidx', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'TruncatedNormal',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'means',\n        'name': 'mean',\n        'type': 'number',\n        'defaultValue': 0.0\n      },\n      {\n        'tfName': 'stddev',\n        'name': 'stdDev',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'}, {\n        'tfName': 'seed2',\n        'name': 'seed2',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      },\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'T', 'name': 'T', 'type': 'number', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Zeros',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'shape', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'ZerosLike',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{'tfName': 'T', 'name': 'dtype', 'type': 'dtype'}]\n  },\n  {\n    'tfOpName': 'Multinomial',\n    'category': 'creation',\n    'inputs': [\n      {'start': 0, 'name': 'logits', 'type': 'tensor'},\n      {'start': 1, 'name': 'numSamples', 'type': 'number'},\n    ],\n    'attrs': [\n      {'tfName': 'seed', 'name': 'seed', 'type': 'number'},\n      {'tfName': 'seed2', 'name': 'seed2', 'type': 'number'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype'},\n      {'tfName': 'output_dtype', 'name': 'output_dtype', 'type': 'dtype'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'NonMaxSuppressionV2',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV3',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'NonMaxSuppressionV5',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 1, 'name': 'scores', 'type': 'tensor'},\n      {'start': 2, 'name': 'maxOutputSize', 'type': 'number'},\n      {'start': 3, 'name': 'iouThreshold', 'type': 'number'},\n      {'start': 4, 'name': 'scoreThreshold', 'type': 'number'},\n      {'start': 5, 'name': 'softNmsSigma', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Where',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ListDiff',\n    'category': 'dynamic',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'y', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [{\n  'tfOpName': 'TopKV2',\n  'category': 'evaluation',\n  'inputs': [\n    {'start': 0, 'name': 'x', 'type': 'tensor'},\n    {'start': 1, 'name': 'k', 'type': 'number'},\n  ],\n  'attrs': [{'tfName': 'sorted', 'name': 'sorted', 'type': 'bool'}]\n}];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'PlaceholderWithDefault',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'default', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'Placeholder',\n    'category': 'graph',\n    'attrs': [\n      {'tfName': 'shape', 'name': 'shape', 'type': 'shape'},\n      {'tfName': 'dtype', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {'tfOpName': 'Const', 'category': 'graph'}, {\n    'tfOpName': 'Identity',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IdentityN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Snapshot',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Rank',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Size',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'Shape',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'ShapeN',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'end': 0, 'name': 'x', 'type': 'tensors'}]\n  },\n  {\n    'tfOpName': 'Print',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'data', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'message', 'name': 'message', 'type': 'string'}, {\n        'tfName': 'first_n',\n        'name': 'firstN',\n        'type': 'number',\n        'notSupported': true\n      },\n      {\n        'tfName': 'summarize',\n        'name': 'summarize',\n        'type': 'number',\n        'defaultValue': 3\n      }\n    ]\n  },\n  {'tfOpName': 'NoOp', 'category': 'graph', 'inputs': []}, {\n    'tfOpName': 'StopGradient',\n    'category': 'graph',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'FakeQuantWithMinMaxVars',\n    'category': 'graph',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'min', 'name': 'min', 'type': 'number'},\n      {'tfName': 'max', 'name': 'max', 'type': 'number'}\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ResizeBilinear',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ResizeNearestNeighbor',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'images', 'type': 'tensor'},\n      {'start': 1, 'name': 'size', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'align_corners', 'name': 'alignCorners', 'type': 'bool'},\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'CropAndResize',\n    'category': 'image',\n    'inputs': [\n      {'start': 0, 'name': 'image', 'type': 'tensor'},\n      {'start': 1, 'name': 'boxes', 'type': 'tensor'},\n      {'start': 2, 'name': 'boxInd', 'type': 'tensor'},\n      {'start': 3, 'name': 'cropSize', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {'tfName': 'method', 'name': 'method', 'type': 'string'}, {\n        'tfName': 'extrapolation_value',\n        'name': 'extrapolationValue',\n        'type': 'number'\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Equal',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'NotEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Greater',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'GreaterEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Less',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LessEqual',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalAnd',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalNot',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'LogicalOr',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Select',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'SelectV2',\n    'category': 'logical',\n    'inputs': [\n      {'start': 0, 'name': 'condition', 'type': 'tensor'},\n      {'start': 1, 'name': 'a', 'type': 'tensor'},\n      {'start': 2, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OpMapper} from '../types';\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': '_FusedMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n      {'start': 2, end: 0, 'name': 'args', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'num_args', 'name': 'numArgs', 'type': 'number'}, {\n        'tfName': 'fused_ops',\n        'name': 'fusedOps',\n        'type': 'string[]',\n        'defaultValue': []\n      },\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.0001\n      },\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'MatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'transpose_a',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'transpose_b',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMul',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'BatchMatMulV2',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'a', 'type': 'tensor'},\n      {'start': 1, 'name': 'b', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'adj_x',\n        'name': 'transposeA',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {\n        'tfName': 'adj_y',\n        'name': 'transposeB',\n        'type': 'bool',\n        'defaultValue': false\n      },\n      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'Transpose',\n    'category': 'matrices',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'perm', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'T',\n      'name': 'dtype',\n      'type': 'dtype',\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FusedBatchNorm',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV2',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'FusedBatchNormV3',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'scale', 'type': 'tensor'},\n      {'start': 2, 'name': 'offset', 'type': 'tensor'},\n      {'start': 3, 'name': 'mean', 'type': 'tensor'},\n      {'start': 4, 'name': 'variance', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'epsilon',\n        'name': 'epsilon',\n        'type': 'number',\n        'defaultValue': 0.001\n      },\n      {\n        'tfName': 'data_format',\n        'name': 'dataFormat',\n        'type': 'string',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'LRN',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'depth_radius',\n        'name': 'radius',\n        'type': 'number',\n        'defaultValue': 5\n      },\n      {'tfName': 'bias', 'name': 'bias', 'type': 'number', 'defaultValue': 1.0},\n      {\n        'tfName': 'alpha',\n        'name': 'alpha',\n        'type': 'number',\n        'defaultValue': 1.0\n      },\n      {\n        'tfName': 'beta',\n        'name': 'beta',\n        'type': 'number',\n        'defaultValue': 0.5\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Softmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'LogSoftmax',\n    'category': 'normalization',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'normalization',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': true,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Max',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Mean',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Min',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Sum',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'All',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'Any',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  },\n  {\n    'tfOpName': 'ArgMax',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'ArgMin',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Prod',\n    'category': 'reduction',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'},\n    ],\n    'attrs': [{'tfName': 'keep_dims', 'name': 'keepDims', 'type': 'bool'}]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'ConcatV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': -1, 'name': 'tensors', 'type': 'tensors'},\n      {'start': -1, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs':\n        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n  },\n  {\n    'tfOpName': 'Concat',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 1, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n      {'start': 0, 'name': 'axis', 'type': 'number'}\n    ],\n    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]\n\n  },\n  {\n    'tfOpName': 'GatherV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Gather',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'validate_indices',\n        'name': 'validateIndices',\n        'type': 'bool',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reverse',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'dims', 'type': 'bool', 'notSupported': true}\n    ]\n  },\n  {\n    'tfOpName': 'ReverseV2',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Slice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'size', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'StridedSlice',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'begin', 'type': 'number[]'},\n      {'start': 2, 'name': 'end', 'type': 'number[]'},\n      {'start': 3, 'name': 'strides', 'type': 'number[]'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'begin_mask',\n        'name': 'beginMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'end_mask',\n        'name': 'endMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'new_axis_mask',\n        'name': 'newAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'ellipsis_mask',\n        'name': 'ellipsisMask',\n        'type': 'number',\n        'defaultValue': 0\n      },\n      {\n        'tfName': 'shrink_axis_mask',\n        'name': 'shrinkAxisMask',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Pack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'end': 0, 'name': 'tensors', 'type': 'tensors'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'Unpack',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'tensor', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'axis', 'name': 'axis', 'type': 'number', 'defaultValue': 0}, {\n        'tfName': 'num',\n        'name': 'num',\n        'type': 'number',\n        'defaultValue': 0,\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Tile',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'reps', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Split',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'axis', 'type': 'number', 'defaultValue': 0},\n      {'start': 1, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'num_split',\n      'name': 'numOrSizeSplits',\n      'type': 'number',\n      'defaultValue': 1\n    }]\n  },\n  {\n    'tfOpName': 'SplitV',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'numOrSizeSplits', 'type': 'number[]'},\n      {'start': 2, 'name': 'axis', 'type': 'number', 'defaultValue': 0}\n    ]\n  },\n  {\n    'tfOpName': 'ScatterNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'indices', 'type': 'tensor'},\n      {'start': 1, 'name': 'values', 'type': 'tensor'},\n      {'start': 2, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'GatherNd',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'indices', 'type': 'tensor'}\n    ]\n  },\n  {\n    'tfOpName': 'SparseToDense',\n    'category': 'slice_join',\n    'inputs': [\n      {'start': 0, 'name': 'sparseIndices', 'type': 'tensor'},\n      {'start': 1, 'name': 'outputShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'sparseValues', 'type': 'tensor'},\n      {'start': 3, 'name': 'defaultValue', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'validate_indices',\n      'name': 'validateIndices',\n      'type': 'bool',\n      'defaultValue': false,\n      'notSupported': true\n    }]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'FFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'IFFT',\n    'category': 'spectral',\n    'inputs': [{'start': 0, 'name': 'x', 'type': 'tensor'}]\n  },\n  {\n    'tfOpName': 'RFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  },\n  {\n    'tfOpName': 'IRFFT',\n    'category': 'spectral',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'}, {\n        'start': 1,\n        'name': 'fft_length',\n        'type': 'number',\n        'notSupported': true\n      }\n    ]\n  }\n];\n","import {OpMapper} from '../types';\n\n/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const json: OpMapper[] = [\n  {\n    'tfOpName': 'Cast',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {\n        'tfName': 'SrcT',\n        'name': 'sdtype',\n        'type': 'dtype',\n        'notSupported': true\n      },\n      {'tfName': 'DstT', 'name': 'dtype', 'type': 'dtype'}\n    ]\n  },\n  {\n    'tfOpName': 'ExpandDims',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'axis', 'type': 'number'}\n    ]\n  },\n  {\n    'tfOpName': 'Pad',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'},\n    ],\n    'attrs': [{\n      'tfName': 'constant_value',\n      'name': 'constantValue',\n      'type': 'number',\n      'defaultValue': 0\n    }]\n  },\n  {\n    'tfOpName': 'PadV2',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'padding', 'type': 'number[]'}, {\n        'start': 2,\n        'name': 'constantValue',\n        'type': 'number',\n        'defaultValue': 0\n      }\n    ]\n  },\n  {\n    'tfOpName': 'Reshape',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'shape', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'Squeeze',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [{\n      'tfName': 'axis',\n      'tfDeprecatedName': 'squeeze_dims',\n      'name': 'axis',\n      'type': 'number[]'\n    }]\n  },\n  {\n    'tfOpName': 'SpaceToBatchND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'paddings', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'BatchToSpaceND',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n      {'start': 1, 'name': 'blockShape', 'type': 'number[]'},\n      {'start': 2, 'name': 'crops', 'type': 'number[]'}\n    ]\n  },\n  {\n    'tfOpName': 'DepthToSpace',\n    'category': 'transformation',\n    'inputs': [\n      {'start': 0, 'name': 'x', 'type': 'tensor'},\n    ],\n    'attrs': [\n      {'tfName': 'block_size', 'name': 'blockSize', 'type': 'number'},\n      {'tfName': 'data_format', 'name': 'dataFormat', 'type': 'string'}\n    ]\n  }\n];\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, env} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {getRegisteredOp} from './custom_op/register';\n\nimport {getNodeNameAndIndex} from './executors/utils';\nimport * as arithmetic from './op_list/arithmetic';\nimport * as basicMath from './op_list/basic_math';\nimport * as control from './op_list/control';\nimport * as convolution from './op_list/convolution';\nimport * as creation from './op_list/creation';\nimport * as dynamic from './op_list/dynamic';\nimport * as evaluation from './op_list/evaluation';\nimport * as graph from './op_list/graph';\nimport * as image from './op_list/image';\nimport * as logical from './op_list/logical';\nimport * as matrices from './op_list/matrices';\nimport * as normalization from './op_list/normalization';\nimport * as reduction from './op_list/reduction';\nimport * as sliceJoin from './op_list/slice_join';\nimport * as spectral from './op_list/spectral';\nimport * as transformation from './op_list/transformation';\nimport {Graph, InputParamValue, Node, OpMapper, ParamValue} from './types';\n\nexport class OperationMapper {\n  private static _instance: OperationMapper;\n\n  private opMappers: {[key: string]: OpMapper};\n\n  // Singleton instance for the mapper\n  public static get Instance() {\n    return this._instance || (this._instance = new this());\n  }\n\n  // Loads the op mapping from the JSON file.\n  private constructor() {\n    const ops = [\n      arithmetic, basicMath, control, convolution, creation, dynamic,\n      evaluation, logical, image, graph, matrices, normalization, reduction,\n      sliceJoin, spectral, transformation\n    ];\n    const mappersJson: OpMapper[] = [].concat(...ops.map(op => op.json));\n\n    this.opMappers = mappersJson.reduce<{[key: string]: OpMapper}>(\n        (map, mapper: OpMapper) => {\n          map[mapper.tfOpName] = mapper;\n          return map;\n        },\n        {});\n  }\n\n  // Converts the model from Tensorflow GraphDef to local representation for\n  // TensorFlow.js API\n  transformGraph(\n      graph: tensorflow.IGraphDef,\n      signature: tensorflow.ISignatureDef = {}): Graph {\n    const tfNodes = graph.node;\n    const placeholders: Node[] = [];\n    const weights: Node[] = [];\n    const nodes = tfNodes.reduce<{[key: string]: Node}>((map, node) => {\n      map[node.name] = this.mapNode(node);\n      if (node.op.startsWith('Placeholder')) {\n        placeholders.push(map[node.name]);\n      }\n      if (node.op === 'Const') {\n        weights.push(map[node.name]);\n      }\n      return map;\n    }, {});\n\n    let inputs: Node[] = [];\n    const outputs: Node[] = [];\n    let inputNodeNameToKey: {[key: string]: string} = {};\n    let outputNodeNameToKey: {[key: string]: string} = {};\n    if (signature != null) {\n      inputNodeNameToKey = this.mapSignatureEntries(signature.inputs);\n      outputNodeNameToKey = this.mapSignatureEntries(signature.outputs);\n    }\n    const allNodes = Object.keys(nodes);\n    allNodes.forEach(key => {\n      const node = nodes[key];\n      node.inputNames.forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        node.inputs.push(nodes[nodeName]);\n        nodes[nodeName].children.push(node);\n      });\n    });\n\n    // if signature has not outputs set, add any node that does not have\n    // outputs.\n    if (Object.keys(outputNodeNameToKey).length === 0) {\n      allNodes.forEach(key => {\n        const node = nodes[key];\n        if (node.children.length === 0) {\n          outputs.push(node);\n        }\n      });\n    } else {\n      Object.keys(outputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node != null) {\n          node.signatureKey = outputNodeNameToKey[name];\n          outputs.push(node);\n        }\n      });\n    }\n\n    if (Object.keys(inputNodeNameToKey).length > 0) {\n      Object.keys(inputNodeNameToKey).forEach(name => {\n        const [nodeName, ] = getNodeNameAndIndex(name);\n        const node = nodes[nodeName];\n        if (node) {\n          node.signatureKey = inputNodeNameToKey[name];\n          inputs.push(node);\n        }\n      });\n    } else {\n      inputs = placeholders;\n    }\n\n    return {nodes, inputs, outputs, weights, placeholders, signature};\n  }\n\n  private mapSignatureEntries(entries: {[k: string]: tensorflow.ITensorInfo}) {\n    return Object.keys(entries || {})\n        .reduce<{[key: string]: string}>((prev, curr) => {\n          prev[entries[curr].name] = curr;\n          return prev;\n        }, {});\n  }\n\n  private mapNode(node: tensorflow.INodeDef): Node {\n    // Unsupported ops will cause an error at run-time (not parse time), since\n    // they may not be used by the actual execution subgraph.\n    const mapper =\n        getRegisteredOp(node.op) || this.opMappers[node.op] || {} as OpMapper;\n    if (node.attr == null) {\n      node.attr = {};\n    }\n\n    const newNode: Node = {\n      name: node.name,\n      op: node.op,\n      category: mapper.category,\n      inputNames:\n          (node.input ||\n           []).map(input => input.startsWith('^') ? input.substr(1) : input),\n      inputs: [],\n      children: [],\n      inputParams: {},\n      attrParams: {},\n      rawAttrs: node.attr\n    };\n\n    if (mapper.inputs != null) {\n      newNode.inputParams =\n          mapper.inputs.reduce<{[key: string]: InputParamValue}>(\n              (map, param) => {\n                map[param.name] = {\n                  type: param.type,\n                  inputIndexStart: param.start,\n                  inputIndexEnd: param.end\n                };\n                return map;\n              },\n              {});\n    }\n    if (mapper.attrs != null) {\n      newNode.attrParams =\n          mapper.attrs.reduce<{[key: string]: ParamValue}>((map, param) => {\n            const type = param.type;\n            let value = undefined;\n            switch (param.type) {\n              case 'string':\n                value = getStringParam(\n                    node.attr, param.tfName, param.defaultValue as string);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string);\n                }\n                break;\n              case 'string[]':\n                value = getStringArrayParam(\n                    node.attr, param.tfName, param.defaultValue as string[]);\n\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getStringArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as string[]);\n                }\n                break;\n              case 'number':\n                value = getNumberParam(\n                    node.attr, param.tfName,\n                    (param.defaultValue || 0) as number);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumberParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number);\n                }\n                break;\n              case 'number[]':\n                value = getNumericArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getNumericArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'bool':\n                value = getBoolParam(\n                    node.attr, param.tfName, param.defaultValue as boolean);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean);\n                }\n                break;\n              case 'bool[]':\n                value = getBoolArrayParam(\n                    node.attr, param.tfName, param.defaultValue as boolean[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getBoolArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as boolean[]);\n                }\n                break;\n              case 'shape':\n                value = getTensorShapeParam(\n                    node.attr, param.tfName, param.defaultValue as number[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[]);\n                }\n                break;\n              case 'shape[]':\n                value = getTensorShapeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as number[][]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getTensorShapeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as number[][]);\n                }\n                break;\n              case 'dtype':\n                value = getDtypeParam(\n                    node.attr, param.tfName, param.defaultValue as DataType);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType);\n                }\n                break;\n              case 'dtype[]':\n                value = getDtypeArrayParam(\n                    node.attr, param.tfName, param.defaultValue as DataType[]);\n                if (value === undefined && !!param.tfDeprecatedName) {\n                  value = getDtypeArrayParam(\n                      node.attr, param.tfDeprecatedName,\n                      param.defaultValue as DataType[]);\n                }\n                break;\n              case 'tensor':\n              case 'tensors':\n                break;\n              default:\n                throw new Error(\n                    `Unsupported param type: ${param.type} for op: ${node.op}`);\n            }\n            map[param.name] = {value, type};\n            return map;\n          }, {});\n    }\n    return newNode;\n  }\n}\n\nexport function decodeBase64(text: string): string {\n  const global = env().global;\n  if (typeof global.atob !== 'undefined') {\n    return global.atob(text);\n  } else if (typeof Buffer !== 'undefined') {\n    return new Buffer(text, 'base64').toString();\n  } else {\n    throw new Error(\n        'Unable to decode base64 in this environment. ' +\n        'Missing built-in atob() or Buffer()');\n  }\n}\n\nexport function parseStringParam(s: []|string, keepCase: boolean): string {\n  const value =\n      Array.isArray(s) ? String.fromCharCode.apply(null, s) : decodeBase64(s);\n  return keepCase ? value : value.toLowerCase();\n}\n\nexport function getStringParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string,\n    keepCase = false): string {\n  const param = attrs[name];\n  if (param != null) {\n    return parseStringParam(param.s, keepCase);\n  }\n  return def;\n}\n\nexport function getBoolParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean): boolean {\n  const param = attrs[name];\n  return param ? param.b : def;\n}\n\nexport function getNumberParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number): number {\n  const param = attrs[name] || {};\n  const value =\n      param['i'] != null ? param['i'] : (param['f'] != null ? param['f'] : def);\n  return (typeof value === 'number') ? value : parseInt(value, 10);\n}\n\nexport function parseDtypeParam(value: string|tensorflow.DataType): DataType {\n  if (typeof (value) === 'string') {\n    // tslint:disable-next-line:no-any\n    value = tensorflow.DataType[value as any];\n  }\n  switch (value) {\n    case tensorflow.DataType.DT_FLOAT:\n      return 'float32';\n    case tensorflow.DataType.DT_INT32:\n    case tensorflow.DataType.DT_INT64:\n    case tensorflow.DataType.DT_INT8:\n    case tensorflow.DataType.DT_UINT8:\n      return 'int32';\n    case tensorflow.DataType.DT_BOOL:\n      return 'bool';\n    case tensorflow.DataType.DT_DOUBLE:\n      return 'float32';\n    case tensorflow.DataType.DT_STRING:\n      return 'string';\n    default:\n      // Unknown dtype error will happen at runtime (instead of parse time),\n      // since these nodes might not be used by the actual subgraph execution.\n      return null;\n  }\n}\n\nexport function getDtypeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType): DataType {\n  const param = attrs[name];\n  if (param && param.type) {\n    return parseDtypeParam(param.type);\n  }\n  return def;\n}\n\nexport function getDtypeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: DataType[]): DataType[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.type) {\n    return param.list.type.map(v => parseDtypeParam(v));\n  }\n  return def;\n}\n\nexport function parseTensorShapeParam(shape: tensorflow.ITensorShape): number[]|\n    undefined {\n  if (shape.unknownRank) {\n    return undefined;\n  }\n  if (shape.dim != null) {\n    return shape.dim.map(\n        dim =>\n            (typeof dim.size === 'number') ? dim.size : parseInt(dim.size, 10));\n  }\n  return [];\n}\n\nexport function getTensorShapeParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def?: number[]): number[]|undefined {\n  const param = attrs[name];\n  if (param && param.shape) {\n    return parseTensorShapeParam(param.shape);\n  }\n  return def;\n}\n\nexport function getNumericArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[]): number[] {\n  const param = attrs[name];\n  if (param) {\n    return ((param.list.f && param.list.f.length ? param.list.f :\n                                                   param.list.i) ||\n            [])\n        .map(v => (typeof v === 'number') ? v : parseInt(v, 10));\n  }\n  return def;\n}\n\nexport function getStringArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string, def: string[],\n    keepCase = false): string[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.s) {\n    return param.list.s.map((v) => {\n      return parseStringParam(v, keepCase);\n    });\n  }\n  return def;\n}\n\nexport function getTensorShapeArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: number[][]): number[][] {\n  const param = attrs[name];\n  if (param && param.list && param.list.shape) {\n    return param.list.shape.map((v) => {\n      return parseTensorShapeParam(v);\n    });\n  }\n  return def;\n}\n\nexport function getBoolArrayParam(\n    attrs: {[key: string]: tensorflow.IAttrValue}, name: string,\n    def: boolean[]): boolean[] {\n  const param = attrs[name];\n  if (param && param.list && param.list.b) {\n    return param.list.b;\n  }\n  return def;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {getTensor} from '../executors/utils';\nimport {getBoolArrayParam, getBoolParam, getDtypeArrayParam, getDtypeParam, getNumberParam, getNumericArrayParam, getStringArrayParam, getStringParam, getTensorShapeArrayParam, getTensorShapeParam} from '../operation_mapper';\nimport {GraphNode, Node, ValueType} from '../types';\n\n/**\n * Helper class for lookup inputs and params for nodes in the model graph.\n */\nexport class NodeValueImpl implements GraphNode {\n  public readonly inputs: Tensor[] = [];\n  public readonly attrs: {[key: string]: ValueType} = {};\n  constructor(\n      private node: Node, private tensorMap: NamedTensorsMap,\n      private context: ExecutionContext) {\n    this.inputs = node.inputNames.map(name => this.getInput(name));\n    if (node.rawAttrs != null) {\n      this.attrs = Object.keys(node.rawAttrs)\n                       .reduce((attrs: {[key: string]: ValueType}, key) => {\n                         attrs[key] = this.getAttr(key);\n                         return attrs;\n                       }, {});\n    }\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getInput(name: string): Tensor {\n    return getTensor(name, this.tensorMap, this.context);\n  }\n\n  /**\n   * Return the value of the attribute or input param.\n   * @param name String: name of attribute or input param.\n   */\n  private getAttr(name: string, defaultValue?: ValueType): ValueType {\n    const value = this.node.rawAttrs[name];\n    if (value.tensor != null) {\n      return getTensor(name, this.tensorMap, this.context);\n    }\n    if (value.i != null || value.f != null) {\n      return getNumberParam(this.node.rawAttrs, name, defaultValue as number);\n    }\n    if (value.s != null) {\n      return getStringParam(this.node.rawAttrs, name, defaultValue as string);\n    }\n    if (value.b != null) {\n      return getBoolParam(this.node.rawAttrs, name, defaultValue as boolean);\n    }\n    if (value.shape != null) {\n      return getTensorShapeParam(\n          this.node.rawAttrs, name, defaultValue as number[]);\n    }\n    if (value.type != null) {\n      return getDtypeParam(this.node.rawAttrs, name, defaultValue as DataType);\n    }\n    if (value.list != null) {\n      if (value.list.i != null || value.list.f != null) {\n        return getNumericArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[]);\n      }\n      if (value.list.s != null) {\n        return getStringArrayParam(\n            this.node.rawAttrs, name, defaultValue as string[]);\n      }\n      if (value.list.shape != null) {\n        return getTensorShapeArrayParam(\n            this.node.rawAttrs, name, defaultValue as number[][]);\n      }\n      if (value.list.b != null) {\n        return getBoolArrayParam(\n            this.node.rawAttrs, name, defaultValue as boolean[]);\n      }\n      if (value.list.type != null) {\n        return getDtypeArrayParam(\n            this.node.rawAttrs, name, defaultValue as DataType[]);\n      }\n    }\n\n    return defaultValue;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BiasAdd':\n    case 'AddV2':\n    case 'Add': {\n      return [tfc.add(\n          (getParamValue('a', node, tensorMap, context) as tfc.Tensor),\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'AddN': {\n      return [tfc.addN((\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[]))];\n    }\n    case 'FloorMod':\n    case 'Mod':\n      return [tfc.mod(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'Mul':\n      return [tfc.mul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    case 'RealDiv':\n    case 'Div': {\n      return [tfc.div(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'DivNoNan': {\n      return [tfc.divNoNan(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'FloorDiv': {\n      return [tfc.floorDiv(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sub': {\n      return [tfc.sub(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Minimum': {\n      return [tfc.minimum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Maximum': {\n      return [tfc.maximum(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Pow': {\n      return [tfc.pow(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SquaredDifference': {\n      return [tfc.squaredDifference(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'arithmetic';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Abs':\n    case 'ComplexAbs':\n      return [tfc.abs(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acos':\n      return [tfc.acos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Acosh':\n      return [tfc.acosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asin':\n      return [tfc.asin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Asinh':\n      return [tfc.asinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan':\n      return [tfc.atan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atan2':\n      return [tfc.atan2(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor)];\n    case 'Atanh':\n      return [tfc.atanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Ceil':\n      return [tfc.ceil(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Complex':\n      return [tfc.complex(\n          getParamValue('real', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cos':\n      return [tfc.cos(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Cosh':\n      return [tfc.cosh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Elu':\n      return [tfc.elu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Erf':\n      return [tfc.erf(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Exp':\n      return [tfc.exp(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Expm1': {\n      return [tfc.expm1(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Floor':\n      return [tfc.floor(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log':\n      return [tfc.log(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Log1p': {\n      return [tfc.log1p(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Imag':\n      return [tfc.imag(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n\n    case 'Neg':\n      return [tfc.neg(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Reciprocal': {\n      return [tfc.reciprocal(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Real':\n      return [tfc.real(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu':\n      return [tfc.relu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Round': {\n      return [tfc.round(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Selu':\n      return [tfc.selu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sigmoid':\n      return [tfc.sigmoid(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sin':\n      return [tfc.sin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Sign': {\n      return [tfc.sign(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sinh': {\n      return [tfc.sinh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Softplus': {\n      return [tfc.softplus(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Sqrt': {\n      return [tfc.sqrt(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Square': {\n      return [tfc.square(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tanh': {\n      return [tfc.tanh(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Tan':\n      return [tfc.tan(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    case 'Relu6':\n    case 'ClipByValue':\n      return [tfc.clipByValue(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('clipValueMin', node, tensorMap, context) as number,\n          getParamValue('clipValueMax', node, tensorMap, context) as number)];\n    case 'Rsqrt':\n      return [tfc.rsqrt(getTensor(node.inputNames[0], tensorMap, context))];\n    case 'Prod':\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('axes', node, tensorMap, context) as number[])];\n    case 'LeakyRelu':\n      return [tfc.leakyRelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as number)];\n    case 'Prelu':\n      return [tfc.prelu(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'basic_math';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {concat, DataType, slice, stack, Tensor, tensor, tidy, unstack, util} from '@tensorflow/tfjs-core';\n\nexport interface TensorWithState {\n  tensor?: Tensor;\n  written?: boolean;\n  read?: boolean;\n  cleared?: boolean;\n}\n/**\n * The TensorArray object keeps an array of Tensors.  It\n * allows reading from the array and writing to the array.\n */\nexport class TensorArray {\n  private static nextId = 0;\n  private tensors: TensorWithState[] = [];\n  private closed_ = false;\n  readonly id: number;\n  constructor(\n      public readonly name: string, public readonly dtype: DataType,\n      private maxSize: number, private elementShape: number[],\n      public readonly identicalElementShapes: boolean,\n      public readonly dynamicSize: boolean,\n      public readonly clearAfterRead: boolean) {\n    this.id = TensorArray.nextId++;\n  }\n\n  get closed() {\n    return this.closed_;\n  }\n\n  /**\n   * Close the current TensorArray.\n   */\n  clearAndClose() {\n    this.tensors.forEach(tensor => tensor.tensor.dispose());\n    this.tensors = [];\n    this.closed_ = true;\n  }\n\n  size(): number {\n    return this.tensors.length;\n  }\n\n  /**\n   * Read the value at location index in the TensorArray.\n   * @param index Number the index to read from.\n   */\n  read(index: number): Tensor {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || index >= this.tensors.length) {\n      throw new Error(`Tried to read from index ${index}, but array size is: ${\n          this.tensors.length}`);\n    }\n\n    const tensorWithState = this.tensors[index];\n    if (tensorWithState.cleared) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not read index ${\n              index} twice because it was cleared after a previous read ` +\n          `(perhaps try setting clear_after_read = false?).`);\n    }\n\n    if (this.clearAfterRead) {\n      tensorWithState.cleared = true;\n    }\n\n    tensorWithState.read = true;\n    return tensorWithState.tensor;\n  }\n\n  /**\n   * Helper method to read multiple tensors from the specified indices.\n   */\n  readMany(indices: number[]): Tensor[] {\n    return indices.map(index => this.read(index));\n  }\n\n  /**\n   * Write value into the index of the TensorArray.\n   * @param index number the index to write to.\n   * @param tensor\n   */\n  write(index: number, tensor: Tensor) {\n    if (this.closed_) {\n      throw new Error(`TensorArray ${this.name} has already been closed.`);\n    }\n\n    if (index < 0 || !this.dynamicSize && index >= this.maxSize) {\n      throw new Error(`Tried to write to index ${\n          index}, but array is not resizeable and size is: ${this.maxSize}`);\n    }\n\n    const t = this.tensors[index] || {};\n\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray ${\n          this.name}: Could not write to TensorArray index ${index},\n          because the value dtype is ${\n          tensor.dtype}, but TensorArray dtype is ${this.dtype}.`);\n    }\n\n    // Set the shape for the first time write to unknow shape tensor array\n    if (this.size() === 0 &&\n        (this.elementShape == null || this.elementShape.length === 0)) {\n      this.elementShape = tensor.shape;\n    }\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensor.shape,\n        `TensorArray ${this.name}: Could not write to TensorArray index ${\n            index}.`);\n\n    if (t && t.read) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been read.`);\n    }\n\n    if (t && t.written) {\n      throw new Error(\n          `TensorArray ${this.name}: Could not write to TensorArray index ${\n              index}, because it has already been written.`);\n    }\n\n    t.tensor = tensor;\n    t.written = true;\n\n    this.tensors[index] = t;\n  }\n\n  /**\n   * Helper method to write multiple tensors to the specified indices.\n   */\n  writeMany(indices: number[], tensors: Tensor[]) {\n    if (indices.length !== tensors.length) {\n      throw new Error(\n          `TensorArray ${this.name}: could not write multiple tensors,` +\n          `because the index size: ${\n              indices.length} is not the same as tensors size: ${\n              tensors.length}.`);\n    }\n\n    indices.forEach((i, index) => this.write(i, tensors[index]));\n  }\n\n  /**\n   * Return selected values in the TensorArray as a packed Tensor. All of\n   * selected values must have been written and their shapes must all match.\n   * @param [indices] number[] Optional. Taking values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size(). If not specified returns\n   *    all tensors in the original order.\n   * @param [dtype]\n   */\n  gather(indices?: number[], dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but gather requested dtype ${dtype}`);\n    }\n\n    if (!indices) {\n      indices = [];\n      for (let i = 0; i < this.size(); i++) {\n        indices.push(i);\n      }\n    }\n\n    if (indices.length === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    // Read all the PersistentTensors into a vector to keep track of\n    // their memory.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape, 'TensorArray shape mismatch: ');\n\n    return stack(tensors, 0);\n  }\n\n  /**\n   * Return the values in the TensorArray as a concatenated Tensor.\n   */\n  concat(dtype?: DataType): Tensor {\n    if (!!dtype && dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but concat requested dtype ${dtype}`);\n    }\n\n    if (this.size() === 0) {\n      return tensor([], [0].concat(this.elementShape));\n    }\n\n    const indices = [];\n    for (let i = 0; i < this.size(); i++) {\n      indices.push(i);\n    }\n    // Collect all the tensors from the tensors array.\n    const tensors = this.readMany(indices);\n\n    this.assertShapesMatchAllowUndefinedSize(\n        this.elementShape, tensors[0].shape,\n        `TensorArray shape mismatch: tensor array shape (${\n            this.elementShape}) vs first tensor shape (${tensors[0].shape})`);\n\n    return concat(tensors, 0);\n  }\n\n  /**\n   * Scatter the values of a Tensor in specific indices of a TensorArray.\n   * @param indices nummber[] values in [0, max_value). If the\n   *    TensorArray is not dynamic, max_value=size().\n   * @param tensor Tensor input tensor.\n   */\n  scatter(indices: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n\n    if (indices.length !== tensor.shape[0]) {\n      throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${\n          indices.length} vs. ${tensor.shape[0]}`);\n    }\n\n    const maxIndex = Math.max(...indices);\n\n    if (!this.dynamicSize && maxIndex >= this.maxSize) {\n      throw new Error(\n          `Max index must be < array size (${maxIndex}  vs. ${this.maxSize})`);\n    }\n\n    this.writeMany(indices, unstack(tensor, 0));\n  }\n\n  /**\n   * Split the values of a Tensor into the TensorArray.\n   * @param length number[] with the lengths to use when splitting value along\n   *    its first dimension.\n   * @param tensor Tensor, the tensor to split.\n   */\n  split(length: number[], tensor: Tensor) {\n    if (tensor.dtype !== this.dtype) {\n      throw new Error(`TensorArray dtype is ${\n          this.dtype} but tensor has dtype ${tensor.dtype}`);\n    }\n    let totalLength = 0;\n    const cumulativeLengths = length.map(len => {\n      totalLength += len;\n      return totalLength;\n    });\n\n    if (totalLength !== tensor.shape[0]) {\n      throw new Error(`Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        ${totalLength}, and tensor's shape is: ${tensor.shape}`);\n    }\n\n    if (!this.dynamicSize && length.length !== this.maxSize) {\n      throw new Error(\n          `TensorArray's size is not equal to the size of lengths (${\n              this.maxSize} vs. ${length.length}), ` +\n          'and the TensorArray is not marked as dynamically resizeable');\n    }\n\n    const elementPerRow = totalLength === 0 ? 0 : tensor.size / totalLength;\n    const tensors: Tensor[] = [];\n    tidy(() => {\n      tensor = tensor.reshape([1, totalLength, elementPerRow]);\n      for (let i = 0; i < length.length; ++i) {\n        const previousLength = (i === 0) ? 0 : cumulativeLengths[i - 1];\n        const indices = [0, previousLength, 0];\n        const sizes = [1, length[i], elementPerRow];\n        tensors[i] = slice(tensor, indices, sizes).reshape(this.elementShape);\n      }\n      return tensors;\n    });\n    const indices = [];\n    for (let i = 0; i < length.length; i++) {\n      indices[i] = i;\n    }\n    this.writeMany(indices, tensors);\n  }\n\n  /**\n   * This differs from util.assertShapesMatch in that it allows values of\n   * negative one, an undefined size of a dimensinon, in a shape to match\n   * anything.\n   */\n  private assertShapesMatchAllowUndefinedSize(\n      shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n    util.assert(\n        this.shapesEqualAllowUndefinedSize(shapeA, shapeB),\n        () =>\n            errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n  }\n\n  private shapesEqualAllowUndefinedSize(n1: number[], n2: number[]) {\n    if (n1.length !== n2.length) {\n      return false;\n    }\n    for (let i = 0; i < n1.length; i++) {\n      if (n1[i] !== -1 && n2[i] !== -1 && n1[i] !== n2[i]) {\n        return false;\n      }\n    }\n    return true;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\nimport {scalar} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {TensorArray} from '../../executor/tensor_array';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'LoopCond':\n      return [\n        (getParamValue('pred', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'Switch': {\n      const pred =\n          getParamValue('pred', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor;\n      // Outputs nodes :0 => false, :1 => true\n      return (await pred.data())[0] ? [undefined, data.clone()] :\n                                      [data.clone(), undefined];\n    }\n    case 'Merge':\n      const inputName = node.inputNames.find(\n          name => getTensor(name, tensorMap, context) !== undefined);\n      return inputName ? [getTensor(inputName, tensorMap, context).clone()] :\n                         undefined;\n\n    case 'Enter':\n      const frameId =\n          getParamValue('frameName', node, tensorMap, context) as string;\n      const data =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.enterFrame(frameId);\n      return [data.clone()];\n\n    case 'Exit':\n      const tensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.exitFrame();\n      return [tensor.clone()];\n\n    case 'NextIteration':\n      const input =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      context.nextIteration();\n      return [input.clone()];\n\n    case 'TensorArrayV3':\n      const size = getParamValue('size', node, tensorMap, context) as number;\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const elementShape =\n          getParamValue('elementShape', node, tensorMap, context) as number[];\n      const dynamicSize =\n          getParamValue('dynamicSize', node, tensorMap, context) as boolean;\n      const clearAfterRead =\n          getParamValue('clearAfterRead', node, tensorMap, context) as boolean;\n      const identicalElementShapes =\n          getParamValue('identicalElementShapes', node, tensorMap, context) as\n          boolean;\n      const name = getParamValue('name', node, tensorMap, context) as string;\n      const tensorArray = new TensorArray(\n          name, dtype, size, elementShape, identicalElementShapes, dynamicSize,\n          clearAfterRead);\n      context.addTensorArray(tensorArray);\n      return [scalar(tensorArray.id), scalar(1.0)];\n\n    case 'TensorArrayWriteV3':\n      const id =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const index = getParamValue('index', node, tensorMap, context) as number;\n      const writeTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const writeTensorArray = context.getTensorArray(id);\n      writeTensorArray.write(index, writeTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayReadV3':\n      const readId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const readIndex =\n          getParamValue('index', node, tensorMap, context) as number;\n      const readTensorArray = context.getTensorArray(readId);\n      return [readTensorArray.read(readIndex)];\n\n    case 'TensorArrayGatherV3':\n      const gatherId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const gatherIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const gatherDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const gatherTensorArray = context.getTensorArray(gatherId);\n      return [gatherTensorArray.gather(gatherIndices, gatherDtype)];\n\n    case 'TensorArrayScatterV3':\n      const scatterId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const scatterIndices =\n          getParamValue('indices', node, tensorMap, context) as number[];\n      const scatterTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const scatterTensorArray = context.getTensorArray(scatterId);\n      scatterTensorArray.scatter(scatterIndices, scatterTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArrayConcatV3':\n      const concatId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const concatTensorArray = context.getTensorArray(concatId);\n      const concatDtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      return [concatTensorArray.concat(concatDtype)];\n\n    case 'TensorArraySplitV3':\n      const splitId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const splitTensor =\n          getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n      const lengths =\n          getParamValue('lengths', node, tensorMap, context) as number[];\n      const splitTensorArray = context.getTensorArray(splitId);\n      splitTensorArray.split(lengths, splitTensor);\n      return [scalar(1.0)];\n\n    case 'TensorArraySizeV3':\n      const sizeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const sizeTensorArray = context.getTensorArray(sizeId);\n      return [scalar(sizeTensorArray.size(), 'int32')];\n\n    case 'TensorArrayCloseV3':\n      const closeId =\n          getParamValue('tensorArrayId', node, tensorMap, context) as number;\n      const closeTensorArray = context.getTensorArray(closeId);\n      closeTensorArray.clearAndClose();\n      return [scalar(0)];\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'control';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Conv1D': {\n      const stride =\n          getParamValue('stride', node, tensorMap, context) as number;\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilation =\n          getParamValue('dilation', node, tensorMap, context) as number;\n      return [tfc.conv1d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor3D,\n          stride, pad as 'valid' | 'same', dataFormat as 'NWC' | 'NCW',\n          dilation)];\n    }\n    case 'Conv2D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv2d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case '_FusedConv2D':\n    case 'FusedDepthwiseConv2dNative': {\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n      const isBatchNorm = extraOp === 'fusedbatchnorm';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu ' +\n              'must have two extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'FusedConv2d and DepthwiseConv2d with BiasAdd must have ' +\n              'one extra argument: bias.');\n        }\n      }\n      if (isBatchNorm) {\n        throw new Error(\n            'FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.');\n      }\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      const kernelMethod = node.op === '_FusedConv2D' ?\n          tfc.fused.conv2d :\n          tfc.fused.depthwiseConv2d;\n      return [kernelMethod({\n        x: getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n            tfc.Tensor4D,\n        filter: getParamValue('filter', node, tensorMap, context) as\n            tfc.Tensor4D,\n        strides: [stride[1], stride[2]],\n        pad: pad as 'valid' | 'same',\n        dataFormat: dataFormat as 'NHWC' | 'NCHW',\n        dilations: [dilations[1], dilations[2]],\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n    }\n    case 'Conv2DBackpropInput':\n    case 'Conv2dTranspose': {\n      const shape = getParamValue(\n                        'outputShape', node, tensorMap,\n                        context) as [number, number, number] |\n          [number, number, number, number];\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      return [tfc.conv2dTranspose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          shape, [stride[1], stride[2]], pad as 'valid' | 'same')];\n    }\n    case 'DepthwiseConv2dNative':\n    case 'DepthwiseConv2d': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n\n      return [tfc.depthwiseConv2d(\n          getParamValue('input', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('filter', node, tensorMap, context) as tfc.Tensor4D,\n          [stride[1], stride[2]], pad as 'valid' | 'same',\n          dataFormat as 'NHWC' | 'NCHW', [dilations[1], dilations[2]])];\n    }\n    case 'Conv3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as string)\n              .toUpperCase();\n      const dilations =\n          getParamValue('dilations', node, tensorMap, context) as number[];\n      return [tfc.conv3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D |\n              tfc.Tensor<tfc.Rank.R5>,\n          getParamValue('filter', node, tensorMap, context) as\n              tfc.Tensor<tfc.Rank.R5>,\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same',\n          dataFormat as 'NDHWC' | 'NCDHW',\n          [dilations[1], dilations[2], dilations[3]])];\n    }\n    case 'AvgPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPool': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same')];\n    }\n    case 'MaxPoolWithArgmax': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n      const includeBatchInIndex =\n          getParamValue('includeBatchInIndex', node, tensorMap, context) as\n          boolean;\n      const {result, indexes} = tfc.maxPoolWithArgmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          [kernelSize[1], kernelSize[2]], [stride[1], stride[2]],\n          pad as 'valid' | 'same', includeBatchInIndex);\n      return [result, indexes];\n    }\n    case 'AvgPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.avgPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    case 'MaxPool3D': {\n      const stride =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const pad = getParamValue('pad', node, tensorMap, context);\n      const kernelSize =\n          getParamValue('kernelSize', node, tensorMap, context) as number[];\n\n      return [tfc.maxPool3d(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor5D,\n          [kernelSize[1], kernelSize[2], kernelSize[3]],\n          [stride[1], stride[2], stride[3]], pad as 'valid' | 'same')];\n    }\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'convolution';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Fill': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const dtype =\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType;\n      const value = getParamValue('value', node, tensorMap, context) as number;\n      return [tfc.fill(shape, value, dtype)];\n    }\n    case 'LinSpace': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const num = getParamValue('num', node, tensorMap, context) as number;\n      return [tfc.linspace(start, stop, num)];\n    }\n    case 'Multinomial': {\n      const logits =\n          getParamValue('logits', node, tensorMap, context) as tfc.Tensor1D;\n      const numSamples =\n          getParamValue('numSamples', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.multinomial(logits, numSamples, seed)];\n    }\n    case 'OneHot': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      const depth = getParamValue('depth', node, tensorMap, context) as number;\n      const onValue =\n          getParamValue('onValue', node, tensorMap, context) as number;\n      const offValue =\n          getParamValue('offValue', node, tensorMap, context) as number;\n      return [tfc.oneHot(indices, depth, onValue, offValue)];\n    }\n    case 'Ones': {\n      return [tfc.ones(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'OnesLike': {\n      return [tfc.onesLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'RandomUniform': {\n      return [tfc.randomUniform(\n          // tslint:disable-next-line:no-any\n          getParamValue('shape', node, tensorMap, context) as any,\n          getParamValue('minval', node, tensorMap, context) as number,\n          getParamValue('maxval', node, tensorMap, context) as number,\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'Range': {\n      const start = getParamValue('start', node, tensorMap, context) as number;\n      const stop = getParamValue('stop', node, tensorMap, context) as number;\n      const step = getParamValue('step', node, tensorMap, context) as number;\n      return [tfc.range(\n          start, stop, step,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32')];\n    }\n    case 'TruncatedNormal': {\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      const mean = getParamValue('mean', node, tensorMap, context) as number;\n      const stdDev =\n          getParamValue('stdDev', node, tensorMap, context) as number;\n      const seed = getParamValue('seed', node, tensorMap, context) as number;\n      return [tfc.truncatedNormal(\n          shape, mean, stdDev,\n          getParamValue('dtype', node, tensorMap, context) as 'float32' |\n              'int32',\n          seed)];\n    }\n    case 'Zeros': {\n      return [tfc.zeros(\n          getParamValue('shape', node, tensorMap, context) as number[],\n          getParamValue('dtype', node, tensorMap, context) as tfc.DataType)];\n    }\n    case 'ZerosLike': {\n      return [tfc.zerosLike(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'creation';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpAsyncExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpAsyncExecutor = async(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): Promise<tfc.Tensor[]> => {\n  switch (node.op) {\n    case 'NonMaxSuppressionV5':\n    case 'NonMaxSuppressionV3':\n    case 'NonMaxSuppressionV2': {\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const scores =\n          getParamValue('scores', node, tensorMap, context) as tfc.Tensor;\n      const maxOutputSize =\n          getParamValue('maxOutputSize', node, tensorMap, context) as number;\n      const iouThreshold =\n          getParamValue('iouThreshold', node, tensorMap, context) as number;\n      const scoreThreshold =\n          getParamValue('scoreThreshold', node, tensorMap, context) as number;\n\n      if (node.op === 'NonMaxSuppressionV5') {\n        const softNmsSigma =\n            getParamValue('softNmsSigma', node, tensorMap, context) as number;\n\n        const result = await tfc.image.nonMaxSuppressionWithScoreAsync(\n            boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n            iouThreshold, scoreThreshold, softNmsSigma);\n\n        return [result.selectedIndices, result.selectedScores];\n      }\n\n      return [await tfc.image.nonMaxSuppressionAsync(\n          boxes as tfc.Tensor2D, scores as tfc.Tensor1D, maxOutputSize,\n          iouThreshold, scoreThreshold)];\n    }\n    case 'Where': {\n      const condition =\n          (getParamValue('condition', node, tensorMap, context) as tfc.Tensor)\n              .asType('bool');\n      const result = [await tfc.whereAsync(condition)];\n      condition.dispose();\n      return result;\n    }\n    case 'ListDiff': {\n      return tfc.setdiff1dAsync(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('y', node, tensorMap, context) as tfc.Tensor);\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'dynamic';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'TopKV2': {\n          const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n          const k = getParamValue('k', node, tensorMap, context) as number;\n          const sorted =\n              getParamValue('sorted', node, tensorMap, context) as boolean;\n          const result = tfc.topk(x, k, sorted);\n          return [result.values, result.indices];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'evaluation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, getTensor} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Const': {\n      return tensorMap[node.name];\n    }\n    case 'PlaceholderWithDefault':\n      const def =\n          getParamValue('default', node, tensorMap, context) as tfc.Tensor;\n      return [getTensor(node.name, tensorMap, context) || def];\n    case 'Placeholder':\n      return [getTensor(node.name, tensorMap, context)];\n    case 'Identity':\n    case 'StopGradient':\n    case 'FakeQuantWithMinMaxVars':  // This op is currently ignored.\n      return [\n        (getParamValue('x', node, tensorMap, context) as tfc.Tensor).clone()\n      ];\n    case 'IdentityN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => t.clone());\n    case 'Snapshot':\n      const snapshot =\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor);\n      return [snapshot.clone()];\n    case 'Shape':\n      return [tfc.tensor1d(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).shape,\n          'int32')];\n    case 'ShapeN':\n      return (getParamValue('x', node, tensorMap, context) as tfc.Tensor[])\n          .map((t: tfc.Tensor) => tfc.tensor1d(t.shape));\n    case 'Size':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).size,\n          'int32')];\n    case 'Rank':\n      return [tfc.scalar(\n          (getParamValue('x', node, tensorMap, context) as tfc.Tensor).rank,\n          'int32')];\n    case 'NoOp':\n      return [tfc.scalar(1)];\n    case 'Print':\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const data =\n          getParamValue('data', node, tensorMap, context) as tfc.Tensor[];\n      const message =\n          getParamValue('message', node, tensorMap, context) as string;\n      const summarize =\n          getParamValue('summarize', node, tensorMap, context) as number;\n      console.warn(\n          'The graph has a tf.print() operation,' +\n          'usually used for debugging, which slows down performance.');\n      console.log(message);\n      for (let i = 0; i < data.length; i++) {\n        console.log(\n            Array.prototype.slice.call(data[i].dataSync()).slice(0, summarize));\n      }\n      return [input];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'graph';\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ResizeBilinear': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeBilinear(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'ResizeNearestNeighbor': {\n      const images =\n          getParamValue('images', node, tensorMap, context) as tfc.Tensor;\n      const size = getParamValue('size', node, tensorMap, context) as number[];\n      const alignCorners =\n          getParamValue('alignCorners', node, tensorMap, context) as boolean;\n      return [tfc.image.resizeNearestNeighbor(\n          images as tfc.Tensor3D | tfc.Tensor4D, [size[0], size[1]],\n          alignCorners)];\n    }\n    case 'CropAndResize': {\n      const image =\n          getParamValue('image', node, tensorMap, context) as tfc.Tensor;\n      const boxes =\n          getParamValue('boxes', node, tensorMap, context) as tfc.Tensor;\n      const boxInd =\n          getParamValue('boxInd', node, tensorMap, context) as tfc.Tensor;\n      const cropSize =\n          getParamValue('cropSize', node, tensorMap, context) as number[];\n      const method =\n          getParamValue('method', node, tensorMap, context) as string;\n      const extrapolationValue =\n          getParamValue('extrapolationValue', node, tensorMap, context) as\n          number;\n      return [tfc.image.cropAndResize(\n          image as tfc.Tensor4D, boxes as tfc.Tensor2D, boxInd as tfc.Tensor1D,\n          cropSize as [number, number], method as 'bilinear' | 'nearest',\n          extrapolationValue)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'image';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                              tensorMap: NamedTensorsMap,\n                                              context: ExecutionContext):\n                                                 tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Equal': {\n      return [tfc.equal(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'NotEqual': {\n      return [tfc.notEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Greater': {\n      return [tfc.greater(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'GreaterEqual': {\n      return [tfc.greaterEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Less': {\n      return [tfc.less(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LessEqual': {\n      return [tfc.lessEqual(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalAnd': {\n      return [tfc.logicalAnd(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalNot': {\n      return [tfc.logicalNot(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogicalOr': {\n      return [tfc.logicalOr(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'Select':\n    case 'SelectV2': {\n      return [tfc.where(\n          getParamValue('condition', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'logical';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'BatchMatMul':\n    case 'BatchMatMulV2':\n    case 'MatMul':\n      return [tfc.matMul(\n          getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n          getParamValue('transposeA', node, tensorMap, context) as boolean,\n          getParamValue('transposeB', node, tensorMap, context) as boolean)];\n\n    case 'Transpose':\n      return [tfc.transpose(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('perm', node, tensorMap, context) as number[])];\n\n    case '_FusedMatMul':\n      const [extraOp, activationFunc] =\n          (getParamValue('fusedOps', node, tensorMap, context) as string[]);\n\n      const isBiasAdd = extraOp === 'biasadd';\n      const isPrelu = activationFunc === 'prelu';\n\n      const numArgs =\n          (getParamValue('numArgs', node, tensorMap, context) as number);\n      if (isBiasAdd) {\n        if (isPrelu && numArgs !== 2) {\n          throw new Error(\n              'Fused MatMul with BiasAdd and Prelu must have two ' +\n              'extra arguments: bias and alpha.');\n        }\n        if (!isPrelu && numArgs !== 1) {\n          throw new Error(\n              'Fused MatMul with BiasAdd must have one extra argument: bias.');\n        }\n      }\n      const [biasArg, preluArg] =\n          getParamValue('args', node, tensorMap, context) as tfc.Tensor[];\n      return [tfc.fused.matMul({\n        a: getParamValue('a', node, tensorMap, context) as tfc.Tensor2D,\n        b: getParamValue('b', node, tensorMap, context) as tfc.Tensor2D,\n        transposeA: getParamValue('transposeA', node, tensorMap, context) as\n            boolean,\n        transposeB: getParamValue('transposeB', node, tensorMap, context) as\n            boolean,\n        bias: biasArg,\n        activation: activationFunc as tfc.fused.Activation,\n        preluActivationWeights: preluArg\n      })];\n\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'matrices';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'FusedBatchNorm':\n    case 'FusedBatchNormV2': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'FusedBatchNormV3': {\n      return [tfc.batchNorm(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('epsilon', node, tensorMap, context) as number)];\n    }\n    case 'LRN': {\n      return [tfc.localResponseNormalization(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor3D |\n              tfc.Tensor4D,\n          getParamValue('radius', node, tensorMap, context) as number,\n          getParamValue('bias', node, tensorMap, context) as number,\n          getParamValue('alpha', node, tensorMap, context) as number,\n          getParamValue('beta', node, tensorMap, context) as number)];\n    }\n    case 'Softmax': {\n      return [tfc.softmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'LogSoftmax': {\n      return [tfc.logSoftmax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n    }\n    case 'SparseToDense': {\n      return [tfc.sparseToDense(\n          getParamValue('sparseIndices', node, tensorMap, context) as\n              tfc.Tensor,\n          getParamValue('outputShape', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('sparseValues', node, tensorMap, context) as number[],\n          getParamValue('defaultValue', node, tensorMap, context) as\n              tfc.Scalar)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'normalization';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Max': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.max(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Mean': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.mean(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Min': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.min(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Sum': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.sum(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'All': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.all(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'Any': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.any(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    case 'ArgMax': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMax(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'ArgMin': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.argMin(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Prod': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const keepDims =\n          getParamValue('keepDims', node, tensorMap, context) as boolean;\n      return [tfc.prod(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis,\n          keepDims)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'reduction';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'ConcatV2':\n    case 'Concat': {\n      const n = getParamValue('n', node, tensorMap, context) as number;\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      let inputs =\n          getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n      inputs = inputs.slice(0, n);\n      return [tfc.concat(inputs, axis)];\n    }\n    case 'GatherV2':\n    case 'Gather': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor1D;\n      return [tfc.gather(input, indices.asType('int32'), axis)];\n    }\n    case 'ReverseV2':\n    case 'Reverse': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.reverse(input, axis)];\n    }\n    case 'Slice': {\n      // tslint:disable-next-line:no-any\n      const begin = getParamValue('begin', node, tensorMap, context) as any;\n      // tslint:disable-next-line:no-any\n      const size = getParamValue('size', node, tensorMap, context) as any;\n      return [tfc.slice(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, begin,\n          size)];\n    }\n    case 'StridedSlice': {\n      const begin =\n          getParamValue('begin', node, tensorMap, context) as number[];\n      const end = getParamValue('end', node, tensorMap, context) as number[];\n      const strides =\n          getParamValue('strides', node, tensorMap, context) as number[];\n      const beginMask =\n          getParamValue('beginMask', node, tensorMap, context) as number;\n      const endMask =\n          getParamValue('endMask', node, tensorMap, context) as number;\n      const ellipsisMask =\n          getParamValue('ellipsisMask', node, tensorMap, context) as number;\n      const newAxisMask =\n          getParamValue('newAxisMask', node, tensorMap, context) as number;\n      const shrinkAxisMask =\n          getParamValue('shrinkAxisMask', node, tensorMap, context) as number;\n      const tensor = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      if (begin.length === 1 && tensor.shape.length > 1) {\n        for (let i = 1; i < tensor.shape.length; i++) {\n          begin.push(0);\n          end.push(tensor.shape[i]);\n          strides.push(strides[0]);\n        }\n      }\n      return [tfc.stridedSlice(\n          tensor, begin, end, strides, beginMask, endMask, ellipsisMask,\n          newAxisMask, shrinkAxisMask)];\n    }\n    case 'Pack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensors =\n            getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];\n        // Reshape the tensors to the first tensor's shape if they don't match.\n        const shape = tensors[0].shape;\n        const squeezedShape = tensors[0].squeeze().shape;\n        const mapped = tensors.map(tensor => {\n          const sameShape = tfc.util.arraysEqual(tensor.shape, shape);\n          if (!sameShape &&\n              !tfc.util.arraysEqual(tensor.squeeze().shape, squeezedShape)) {\n            throw new Error('the input tensors shape does not match');\n          }\n          return sameShape ? tensor : tensor.reshape(shape);\n        });\n        return [tfc.stack(mapped, axis)];\n      });\n    }\n    case 'Unpack': {\n      return tfc.tidy(() => {\n        const axis = getParamValue('axis', node, tensorMap, context) as number;\n        const tensor =\n            getParamValue('tensor', node, tensorMap, context) as tfc.Tensor;\n        return tfc.unstack(tensor, axis);\n      });\n    }\n    case 'Tile': {\n      const reps = getParamValue('reps', node, tensorMap, context) as number[];\n      return [tfc.tile(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, reps)];\n    }\n    case 'Split':\n    case 'SplitV': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      const numOrSizeSplits =\n          getParamValue('numOrSizeSplits', node, tensorMap, context) as number |\n          number[];\n      return tfc.split(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          numOrSizeSplits, axis);\n    }\n    case 'ScatterNd': {\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      const values =\n          getParamValue('values', node, tensorMap, context) as tfc.Tensor;\n      const shape =\n          getParamValue('shape', node, tensorMap, context) as number[];\n      return [tfc.scatterND(indices, values, shape)];\n    }\n    case 'GatherNd': {\n      const x = getParamValue('x', node, tensorMap, context) as tfc.Tensor;\n      const indices =\n          getParamValue('indices', node, tensorMap, context) as tfc.Tensor;\n      return [tfc.gatherND(x, indices)];\n    }\n    case 'SparseToDense': {\n      const indices =\n          getParamValue('sparseIndices', node, tensorMap, context) as\n          tfc.Tensor;\n      const shape =\n          getParamValue('outputShape', node, tensorMap, context) as number[];\n      const sparseValues =\n          getParamValue('sparseValues', node, tensorMap, context) as tfc.Tensor;\n      const defaultValue =\n          getParamValue('defaultValue', node, tensorMap, context) as tfc.Scalar;\n      return [tfc.sparseToDense(\n          indices, sparseValues, shape,\n          sparseValues.dtype === defaultValue.dtype ?\n              defaultValue :\n              defaultValue.asType(sparseValues.dtype))];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'slice_join';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue} from './utils';\n\nexport const executeOp: InternalOpExecutor =\n    (node: Node, tensorMap: NamedTensorsMap,\n     context: ExecutionContext): tfc.Tensor[] => {\n      switch (node.op) {\n        case 'FFT': {\n          return [tfc.fft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IFFT': {\n          return [tfc.ifft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'RFFT': {\n          return [tfc.rfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        case 'IRFFT': {\n          return [tfc.irfft(\n              getParamValue('x', node, tensorMap, context) as tfc.Tensor)];\n        }\n        default:\n          throw TypeError(`Node type ${node.op} is not implemented`);\n      }\n    };\n\nexport const CATEGORY = 'spectral';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../../data/types';\nimport {ExecutionContext} from '../../executor/execution_context';\nimport {InternalOpExecutor, Node} from '../types';\n\nimport {getParamValue, split} from './utils';\n\nexport const executeOp: InternalOpExecutor = (node: Node,\n                                            tensorMap: NamedTensorsMap,\n                                            context: ExecutionContext):\n                                               tfc.Tensor[] => {\n  switch (node.op) {\n    case 'Cast': {\n      return [tfc.cast(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('dtype', node, tensorMap, context) as 'int32' |\n              'float32' | 'bool')];\n    }\n    case 'ExpandDims': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number;\n      return [tfc.expandDims(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n    case 'Squeeze': {\n      const axis = getParamValue('axis', node, tensorMap, context) as number[];\n      return [tfc.squeeze(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor, axis)];\n    }\n\n    case 'Reshape': {\n      return [tfc.reshape(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          getParamValue('shape', node, tensorMap, context) as number[])];\n    }\n    case 'PadV2':\n    case 'Pad': {\n      return [tfc.pad(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          split(\n              getParamValue('padding', node, tensorMap, context) as number[],\n              2) as Array<[number, number]>,\n          getParamValue('constantValue', node, tensorMap, context) as number)];\n    }\n    case 'SpaceToBatchND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const paddings = split(\n          getParamValue('paddings', node, tensorMap, context) as number[], 2);\n      return [tfc.spaceToBatchND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, paddings)];\n    }\n    case 'BatchToSpaceND': {\n      const blockShape =\n          getParamValue('blockShape', node, tensorMap, context) as number[];\n      const crops = split(\n          getParamValue('crops', node, tensorMap, context) as number[], 2);\n      return [tfc.batchToSpaceND(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor,\n          blockShape, crops)];\n    }\n    case 'DepthToSpace': {\n      const blockSize =\n          getParamValue('blockSize', node, tensorMap, context) as number;\n      const dataFormat =\n          (getParamValue('dataFormat', node, tensorMap, context) as\n           string).toUpperCase() as 'NHWC' |\n          'NCHW';\n      return [tfc.depthToSpace(\n          getParamValue('x', node, tensorMap, context) as tfc.Tensor4D,\n          blockSize, dataFormat)];\n    }\n    default:\n      throw TypeError(`Node type ${node.op} is not implemented`);\n  }\n};\n\nexport const CATEGORY = 'transformation';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as tfc from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {ExecutionContext} from '../executor/execution_context';\n\nimport {NodeValueImpl} from './custom_op/node_value_impl';\nimport {getRegisteredOp} from './custom_op/register';\nimport * as arithmetic from './executors/arithmetic_executor';\nimport * as basicMath from './executors/basic_math_executor';\nimport * as control from './executors/control_executor';\nimport * as convolution from './executors/convolution_executor';\nimport * as creation from './executors/creation_executor';\nimport * as dynamic from './executors/dynamic_executor';\nimport * as evaluation from './executors/evaluation_executor';\nimport * as graph from './executors/graph_executor';\nimport * as image from './executors/image_executor';\nimport * as logical from './executors/logical_executor';\nimport * as matrices from './executors/matrices_executor';\nimport * as normalization from './executors/normalization_executor';\nimport * as reduction from './executors/reduction_executor';\nimport * as sliceJoin from './executors/slice_join_executor';\nimport * as spectral from './executors/spectral_executor';\nimport * as transformation from './executors/transformation_executor';\nimport {Node} from './types';\n\n/**\n * Executes the op defined by the node object.\n * @param node\n * @param tensorMap contains tensors for executed nodes and weights\n */\nexport function executeOp(\n    node: Node, tensorMap: NamedTensorsMap,\n    context: ExecutionContext): tfc.Tensor[]|Promise<tfc.Tensor[]> {\n  const value =\n      ((node: Node, tensorMap: NamedTensorsMap, context: ExecutionContext) => {\n        switch (node.category) {\n          case 'arithmetic':\n            return tfc.tidy(\n                () => arithmetic.executeOp(node, tensorMap, context));\n          case 'basic_math':\n            return tfc.tidy(\n                () => basicMath.executeOp(node, tensorMap, context));\n          case 'control':\n            return control.executeOp(node, tensorMap, context);\n          case 'convolution':\n            return tfc.tidy(\n                () => convolution.executeOp(node, tensorMap, context));\n          case 'creation':\n            return tfc.tidy(() => creation.executeOp(node, tensorMap, context));\n          case 'dynamic':\n            return dynamic.executeOp(node, tensorMap, context);\n          case 'evaluation':\n            return tfc.tidy(\n                () => evaluation.executeOp(node, tensorMap, context));\n          case 'image':\n            return tfc.tidy(() => image.executeOp(node, tensorMap, context));\n          case 'graph':\n            return tfc.tidy(() => graph.executeOp(node, tensorMap, context));\n          case 'logical':\n            return tfc.tidy(() => logical.executeOp(node, tensorMap, context));\n          case 'matrices':\n            return tfc.tidy(() => matrices.executeOp(node, tensorMap, context));\n          case 'normalization':\n            return tfc.tidy(\n                () => normalization.executeOp(node, tensorMap, context));\n          case 'reduction':\n            return tfc.tidy(\n                () => reduction.executeOp(node, tensorMap, context));\n          case 'slice_join':\n            return tfc.tidy(\n                () => sliceJoin.executeOp(node, tensorMap, context));\n          case 'spectral':\n            return tfc.tidy(() => spectral.executeOp(node, tensorMap, context));\n          case 'transformation':\n            return tfc.tidy(\n                () => transformation.executeOp(node, tensorMap, context));\n          case 'custom':\n            const opMapper = getRegisteredOp(node.op);\n            if (opMapper && opMapper.customExecutor) {\n              return opMapper.customExecutor(\n                  new NodeValueImpl(node, tensorMap, context));\n            } else {\n              throw TypeError(`Custom op ${node.op} is not registered.`);\n            }\n          default:\n            throw TypeError(\n                `Unknown op '${node.op}'. File an issue at ` +\n                `https://github.com/tensorflow/tfjs/issues so we can add it` +\n                `, or register a custom execution with tf.registerOp()`);\n        }\n      })(node, tensorMap, context);\n  if (value instanceof Promise) {\n    return value.then((data) => [].concat(data));\n  }\n  return [].concat(value);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap, TensorArrayMap} from '../data/types';\n\nimport {TensorArray} from './tensor_array';\n\nexport interface ExecutionContextInfo {\n  id: number;           // the unique id of the context info\n  frameName: string;    // The frame name of the loop, this comes from\n                        // the TensorFlow NodeDef.\n  iterationId: number;  // The iteration id of the loop\n}\n\n/**\n * ExecutionContext captures the runtime environment of the node. It keeps\n * track of the current frame and iteration for the control flow ops.\n *\n * For example, typical Dynamic RNN model may contain loops, for which\n * TensorFlow will generate graphs with Enter/Exit nodes to control the\n * current execution frame, and NextIteration Nodes for iteration id increment.\n * For model with branch logic, TensorFLow will generate Switch/Merge ops.\n */\nexport class ExecutionContext {\n  private rootContext = {id: 0, frameName: '', iterationId: 0};\n  private contexts: ExecutionContextInfo[] = [this.rootContext];\n  private lastId = 0;\n  private _currentContextIds: string[];\n\n  constructor(\n      public readonly weightMap: NamedTensorsMap,\n      public readonly tensorArrayMap: TensorArrayMap) {\n    this.generateCurrentContextIds();\n  }\n\n  private newFrame(id: number, frameName: string) {\n    return {id, frameName, iterationId: 0};\n  }\n\n  /**\n   * Set the current context\n   * @param contexts: ExecutionContextInfo[] the current path of execution\n   * frames\n   */\n  set currentContext(contexts: ExecutionContextInfo[]) {\n    if (this.contexts !== contexts) {\n      this.contexts = contexts;\n      this.generateCurrentContextIds();\n    }\n  }\n\n  get currentContext(): ExecutionContextInfo[] {\n    return this.contexts;\n  }\n\n  /**\n   * Returns the current context in string format.\n   */\n  get currentContextId(): string {\n    return this._currentContextIds[0];\n  }\n\n  /**\n   * Returns the current context and all parent contexts in string format.\n   * This allow access to the nodes in the current and parent frames.\n   */\n  get currentContextIds(): string[] {\n    return this._currentContextIds;\n  }\n\n  private generateCurrentContextIds() {\n    const names = [];\n    for (let i = 0; i < this.contexts.length - 1; i++) {\n      const contexts = this.contexts.slice(0, this.contexts.length - i);\n      names.push(this.contextIdforContexts(contexts));\n    }\n    names.push('');\n    this._currentContextIds = names;\n  }\n\n  private contextIdforContexts(contexts: ExecutionContextInfo[]) {\n    return contexts ?\n        contexts\n            .map(\n                context => (context.id === 0 && context.iterationId === 0) ?\n                    '' :\n                    `${context.frameName}-${context.iterationId}`)\n            .join('/') :\n        '';\n  }\n\n  /**\n   * Enter a new frame, a new context is pushed on the current context list.\n   * @param frameId new frame id\n   */\n  enterFrame(frameId: string) {\n    if (this.contexts) {\n      this.lastId++;\n      this.contexts = this.contexts.slice();\n      this.contexts.push(this.newFrame(this.lastId, frameId));\n      this._currentContextIds.unshift(this.contextIdforContexts(this.contexts));\n    }\n  }\n\n  /**\n   * Exit the current frame, the last context is removed from the current\n   * context list.\n   */\n  exitFrame() {\n    if (this.contexts && this.contexts.length > 1) {\n      this.contexts = this.contexts.slice();\n      this.contexts.splice(-1);\n      this.currentContextIds.shift();\n    } else {\n      throw new Error('Cannot exit frame, the context is empty');\n    }\n  }\n\n  /**\n   * Enter the next iteration of a loop, the iteration id of last context is\n   * increased.\n   */\n  nextIteration() {\n    if (this.contexts && this.contexts.length > 0) {\n      this.contexts = this.contexts.slice();\n      this.lastId++;\n      const context =\n          Object.assign({}, this.contexts[this.contexts.length - 1]);\n      context.iterationId += 1;\n      context.id = this.lastId;\n      this.contexts.splice(-1, 1, context);\n      this._currentContextIds.splice(\n          0, 1, this.contextIdforContexts(this.contexts));\n    } else {\n      throw new Error('Cannot increase frame iteration, the context is empty');\n    }\n  }\n\n  getWeight(name: string): Tensor[] {\n    return this.weightMap[name];\n  }\n\n  addTensorArray(tensorArray: TensorArray) {\n    this.tensorArrayMap[tensorArray.id] = tensorArray;\n  }\n\n  getTensorArray(id: number): TensorArray {\n    return this.tensorArrayMap[id];\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedTensorMap} from '@tensorflow/tfjs-core';\n\nimport {NamedTensorsMap} from '../data/types';\nimport {parseNodeName} from '../operations/executors/utils';\nimport {Graph, Node} from '../operations/types';\n\nexport interface ExecutionInfo {\n  inputs: NamedTensorMap;\n  outputs: Node[];\n  usedNodes: Set<string>;\n  missingInputs: string[];\n  dynamicNode: Node;\n  syncInputs: string[];\n}\n\n/**\n * Given graph inputs and desired outputs, find the minimal set of nodes\n * to execute in order to compute the outputs. In addition return other useful\n * info such:\n * - Missing inputs needed to compute the output.\n * - Whether the subgraph contains dynamic ops (control flow, dynamic shape).\n * - Alternative inputs in order to avoid async (dynamic op) execution.\n */\nexport function getExecutionSubgraph(\n    inputs: NamedTensorMap, outputs: Node[],\n    weightMap: NamedTensorsMap): ExecutionInfo {\n  const usedNodes = new Set<string>();\n  const missingInputs: string[] = [];\n  let dynamicNode: Node = null;\n  let syncInputs: string[] = null;\n\n  // Start with the outputs, going backwards and find all the nodes that are\n  // needed to compute those outputs.\n  const seen = new Set<string>();\n  const inputNodeNames =\n      Object.keys(inputs).map(name => parseNodeName(name)[0]);\n  const frontier = [...outputs];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    if (isControlFlow(node) || isDynamicShape(node)) {\n      if (dynamicNode == null) {\n        dynamicNode = node;\n        syncInputs = dynamicNode.children.map(child => child.name)\n                         .filter(name => usedNodes.has(name));\n      }\n    }\n    usedNodes.add(node.name);\n\n    // Weights are dead end since we already have their values.\n    if (weightMap[node.name] != null) {\n      continue;\n    }\n    // This node is a dead end since it's one of the user-provided inputs.\n\n    if (inputNodeNames.indexOf(node.name) !== -1) {\n      continue;\n    }\n    if (node.inputs.length === 0) {\n      missingInputs.push(node.name);\n      continue;\n    }\n    node.inputs.forEach(input => {\n      // Don't add to the frontier if it is already there.\n      if (seen.has(input.name)) {\n        return;\n      }\n      seen.add(input.name);\n      frontier.push(input);\n    });\n  }\n  return {inputs, outputs, usedNodes, missingInputs, dynamicNode, syncInputs};\n}\n\n/**\n * Given the execution info, return a list of nodes in topological order that\n * need to be executed to compute the output.\n */\nexport function getNodesInTopologicalOrder(\n    graph: Graph, weightMap: NamedTensorsMap,\n    executionInfo: ExecutionInfo): Node[] {\n  const {usedNodes, inputs} = executionInfo;\n  const frontier: Node[] = [];\n  const inputNodes = Object.keys(inputs)\n                         .map(name => parseNodeName(name)[0])\n                         .map(name => graph.nodes[name]);\n  inputNodes.forEach(input => {\n    if (usedNodes.has(input.name)) {\n      frontier.push(input);\n    }\n  });\n  graph.weights.forEach(weight => {\n    if (usedNodes.has(weight.name)) {\n      frontier.push(weight);\n    }\n  });\n  const seen = new Set<string>();\n  const orderedNodes: Node[] = [];\n  while (frontier.length > 0) {\n    const node = frontier.pop();\n    seen.add(node.name);\n    if (!weightMap[node.name]) {\n      orderedNodes.push(node);\n    }\n    node.children.forEach(child => {\n      if (!seen.has(child.name) && usedNodes.has(child.name) &&\n          child.inputs.every(input => seen.has(input.name))) {\n        frontier.push(child);\n      }\n    });\n  }\n  return orderedNodes;\n}\n\nconst CONTROL_FLOW_OPS = ['Switch', 'Merge', 'Enter', 'Exit', 'NextIteration'];\nconst DYNAMIC_SHAPE_OPS = [\n  'NonMaxSuppressionV2', 'NonMaxSuppressionV3', 'NonMaxSuppressionV5', 'Where'\n];\n\nexport function isControlFlow(node: Node) {\n  return CONTROL_FLOW_OPS.indexOf(node.op) >= 0;\n}\n\nexport function isDynamicShape(node: Node) {\n  return DYNAMIC_SHAPE_OPS.indexOf(node.op) >= 0;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NamedTensorMap, Tensor, tidy, util} from '@tensorflow/tfjs-core';\n\nimport {ISignatureDef} from '../data/compiled_api';\nimport {NamedTensorsMap, TensorArrayMap, TensorInfo} from '../data/types';\nimport {getNodeNameAndIndex, getParamValue, getTensor, getTensorsForCurrentContenxt, parseNodeName} from '../operations/executors/utils';\nimport {executeOp} from '../operations/operation_executor';\nimport {Graph, Node} from '../operations/types';\n\nimport {ExecutionContext, ExecutionContextInfo} from './execution_context';\nimport {getExecutionSubgraph, getNodesInTopologicalOrder, isControlFlow} from './model_analysis';\n\ninterface NodeWithContexts {\n  contexts: ExecutionContextInfo[];\n  node: Node;\n}\n\nexport class GraphExecutor {\n  private compiledMap: Map<string, Node[]> = new Map();\n  private _weightMap: NamedTensorsMap = {};\n  private weightIds: number[];\n  private _signature: ISignatureDef;\n  private _inputs: Node[];\n  private _outputs: Node[];\n  private SEPERATOR = ',';\n  get weightMap(): NamedTensorsMap {\n    return this._weightMap;\n  }\n  set weightMap(weightMap: NamedTensorsMap) {\n    const weightIds = Object.keys(weightMap).map(\n        key => weightMap[key].map(tensor => tensor.id));\n    this.weightIds = [].concat(...weightIds);\n    this._weightMap = weightMap;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this._inputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get outputs(): TensorInfo[] {\n    return this._outputs.map(node => {\n      return {\n        name: node.name,\n        shape: node.attrParams['shape'] ?\n            node.attrParams['shape'].value as number[] :\n            undefined,\n        dtype: node.attrParams['dtype'] ?\n            node.attrParams['dtype'].value as DataType :\n            undefined\n      };\n    });\n  }\n\n  get inputNodes(): string[] {\n    return this._inputs.map(node => node.signatureKey || node.name);\n  }\n\n  get outputNodes(): string[] {\n    return this._outputs.map(node => node.signatureKey || node.name);\n  }\n\n  constructor(private graph: Graph) {\n    this._outputs = graph.outputs;\n    this._inputs = graph.inputs;\n    this._signature = graph.signature;\n  }\n\n  private getCompilationKey(inputs: Node[], outputs: Node[]): string {\n    const sortedInputs = inputs.map(node => node.name).sort();\n    const sortedOutputs = outputs.map(node => node.name).sort();\n    return sortedInputs.join(this.SEPERATOR) + '--' +\n        sortedOutputs.join(this.SEPERATOR);\n  }\n\n  /**\n   * Compiles the inference graph and returns the minimal set of nodes that are\n   * required for execution, in the correct execution order.\n   */\n  private compile(inputs: NamedTensorMap, outputs: Node[]): Node[] {\n    const executionInfo = getExecutionSubgraph(inputs, outputs, this.weightMap);\n    const {missingInputs, dynamicNode, syncInputs} = executionInfo;\n    if (dynamicNode != null) {\n      throw new Error(\n          `This execution contains the node '${dynamicNode.name}', which has ` +\n          `the dynamic op '${dynamicNode.op}'. Please use ` +\n          `model.executeAsync() instead. Alternatively, to avoid the ` +\n          `dynamic ops, specify the inputs [${syncInputs}]`);\n    }\n\n    if (missingInputs.length > 0) {\n      const outNames = outputs.map(n => n.name);\n      const inNames = Object.keys(inputs);\n      throw new Error(\n          `Cannot compute the outputs [${outNames}] from the provided inputs ` +\n          `[${inNames}]. Missing the following inputs: [${missingInputs}]`);\n    }\n\n    return getNodesInTopologicalOrder(\n        this.graph, this.weightMap, executionInfo);\n  }\n\n  /**\n   * Executes the inference for given input tensors.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  execute(inputs: NamedTensorMap, outputs: string[]): Tensor[] {\n    inputs = this.mapInputs(inputs);\n    const names = Object.keys(inputs).sort();\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputs.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const compilationKey = this.getCompilationKey(inputNodes, outputNodes);\n    // Do nothing if the compiled graph cache contains the input.\n    let orderedNodes = this.compiledMap.get(compilationKey);\n    if (orderedNodes == null) {\n      orderedNodes = this.compile(inputs, outputNodes);\n      this.compiledMap.set(compilationKey, orderedNodes);\n    }\n    const tensorArrayMap: TensorArrayMap = {};\n    return tidy(() => {\n      const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n      const tensorsMap: NamedTensorsMap = {...this.weightMap};\n      Object.keys(inputs).forEach(name => {\n        const [nodeName, index] = parseNodeName(name);\n        const tensors: Tensor[] = [];\n        tensors[index] = inputs[name];\n        tensorsMap[nodeName] = tensors;\n      });\n      const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n      const intermediateTensorConsumerCount: {[key: number]: number} = {};\n      for (let i = 0; i < orderedNodes.length; i++) {\n        const node = orderedNodes[i];\n        if (!tensorsMap[node.name]) {\n          const tensors = executeOp(node, tensorsMap, context) as Tensor[];\n          if (tensors instanceof Promise) {\n            throw new Error(\n                `The execution of the op '${node.op}' returned a promise. ` +\n                `Please use model.executeAsync() instead.`);\n          }\n          tensorsMap[node.name] = tensors;\n          this.checkTensorForDisposal(\n              node.name, node, tensorsMap, context, tensorsToKeep, outputs,\n              intermediateTensorConsumerCount);\n        }\n      }\n      return outputs.map(name => getTensor(name, tensorsMap, context));\n    });\n  }\n\n  private getFrozenTensorIds(tensorMap: NamedTensorsMap): Set<number> {\n    const ids = [].concat.apply(\n        [],\n        Object.keys(tensorMap)\n            .map(key => tensorMap[key])\n            .map(tensors => tensors.map(tensor => tensor.id)));\n    return new Set(ids);\n  }\n  private checkTensorForDisposal(\n      nodeName: string, node: Node, tensorMap: NamedTensorsMap,\n      context: ExecutionContext, tensorsToKeep: Set<number>,\n      outputNames: string[],\n      intermediateTensorConsumerCount: {[key: string]: number}) {\n    // Skip output nodes and any control flow nodes, since its dependency is\n    // tricky to track correctly.\n    if (node.category === 'control' || outputNames.indexOf(nodeName) !== -1) {\n      return;\n    }\n\n    tensorMap[nodeName].forEach(tensor => {\n      if (tensor != null) {\n        intermediateTensorConsumerCount[tensor.id] =\n            (intermediateTensorConsumerCount[tensor.id] || 0) +\n            node.children.length;\n      }\n    });\n    node.inputs.forEach(input => {\n      // Skip any control flow nodes, since its dependency is tricky to track\n      // correctly.\n      if (input.category !== 'control') {\n        const tensors =\n            getTensorsForCurrentContenxt(input.name, tensorMap, context);\n        if (tensors != null) {\n          tensors.forEach(tensor => {\n            if (tensor && !tensorsToKeep.has(tensor.id)) {\n              const count = intermediateTensorConsumerCount[tensor.id];\n              if (count === 1) {\n                tensor.dispose();\n                delete intermediateTensorConsumerCount[tensor.id];\n              } else if (count != null) {\n                // only intermediate nodes has count set, inputs and weights are\n                // not.\n                intermediateTensorConsumerCount[tensor.id]--;\n              }\n            }\n          });\n        }\n      }\n    });\n  }\n  /**\n   * Executes the inference for given input tensors in Async fashion.\n   * @param inputs Tensor map for the model inputs, keyed by the input node\n   * names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   */\n  async executeAsync(inputs: NamedTensorMap, outputs: string[]):\n      Promise<Tensor[]> {\n    inputs = this.mapInputs(inputs);\n    this.checkInputs(inputs);\n    this.checkInputShapeAndType(inputs);\n    outputs = this.mapOutputs(outputs);\n    this.checkOutputs(outputs);\n    const tensorArrayMap: TensorArrayMap = {};\n    const context = new ExecutionContext(this._weightMap, tensorArrayMap);\n    // Graph with control flow op requires runtime evaluation of the execution\n    // order, while without control flow the execution order is pre-determined\n    // in the compile method.\n    const tensorMap =\n        await this.executeWithControlFlow(inputs, context, outputs);\n    const results = outputs.map(name => getTensor(name, tensorMap, context));\n\n    // dispose all the intermediate tensors\n    const outputIds = new Set<number>(results.map(t => t.id));\n    const inputIds =\n        new Set<number>(Object.keys(inputs).map(name => inputs[name].id));\n    Object.keys(tensorMap).forEach(key => {\n      const tensorArray = tensorMap[key];\n      tensorArray.forEach(tensor => {\n        if (tensor && !tensor.isDisposed && !outputIds.has(tensor.id) &&\n            !inputIds.has(tensor.id) &&\n            this.weightIds.indexOf(tensor.id) === -1) {\n          tensor.dispose();\n        }\n      });\n    });\n    return results;\n  }\n\n  /**\n   * When there are control flow nodes in the graph, the graph execution use\n   * ExecutionContext to keep track of the frames and loop iterators.\n   * @param inputs placeholder tensors for the graph.\n   * @param context the execution context object for current execution.\n   */\n  private async executeWithControlFlow(\n      inputs: NamedTensorMap, context: ExecutionContext,\n      outputNames: string[]): Promise<NamedTensorsMap> {\n    const names = Object.keys(inputs);\n    const inputNodes =\n        names.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const outputNodes =\n        outputNames.map(name => this.graph.nodes[parseNodeName(name)[0]]);\n    const {usedNodes, missingInputs, dynamicNode, syncInputs} =\n        getExecutionSubgraph(inputs, outputNodes, this.weightMap);\n\n    const stack: NodeWithContexts[] =\n        [...inputNodes, ...this.graph.weights].map(node => {\n          return {node, contexts: context.currentContext};\n        });\n    const tensorsMap: NamedTensorsMap = {...this.weightMap};\n    Object.keys(inputs).forEach(name => {\n      const [nodeName, index] = parseNodeName(name);\n      const tensors: Tensor[] = [];\n      tensors[index] = inputs[name];\n      tensorsMap[nodeName] = tensors;\n    });\n    const intermediateTensorConsumerCount: {[key: number]: number} = {};\n    const tensorsToKeep = this.getFrozenTensorIds(tensorsMap);\n    const added: {[key: string]: boolean} = {};\n    while (stack.length > 0) {\n      const promises = this.processStack(\n          inputNodes, stack, context, tensorsMap, added, tensorsToKeep,\n          outputNames, intermediateTensorConsumerCount, usedNodes);\n      await Promise.all(promises);\n    }\n    if (dynamicNode == null) {\n      console.warn(\n          `This model execution did not contain any nodes with control flow ` +\n          `or dynamic output shapes. You can use model.execute() instead.`);\n    }\n    const missingOutputs =\n        outputNodes\n            .filter(\n                node => !isControlFlow(node) &&\n                    !getTensor(node.name, tensorsMap, context))\n            .map(node => node.name);\n    if (missingOutputs.length > 0) {\n      let alternativeMsg = '';\n      if (dynamicNode != null) {\n        alternativeMsg =\n            `Alternatively, to avoid the dynamic ops, use model.execute() ` +\n            `and specify the inputs [${syncInputs}]`;\n      }\n      throw new Error(\n          `Cannot compute the outputs [${missingOutputs}] from the provided ` +\n          `inputs [${names}]. Consider providing the following inputs: ` +\n          `[${missingInputs}]. ${alternativeMsg}`);\n    }\n    return tensorsMap;\n  }\n\n  private processStack(\n      inputNodes: Node[], stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      tensorsToKeep: Set<number>, outputNames: string[],\n      intermediateTensorConsumerCount: {[key: number]: number},\n      usedNodes: Set<string>) {\n    const promises: Array<Promise<Tensor[]>> = [];\n    while (stack.length > 0) {\n      const item = stack.pop();\n      context.currentContext = item.contexts;\n      let nodeName = '';\n      // The tensor of the Enter op with isConstant set should be set\n      // in the parent scope, so it will be available as constant for the\n      // whole loop.\n      if (item.node.op === 'Enter' &&\n          getParamValue('isConstant', item.node, tensorMap, context)) {\n        [nodeName] = getNodeNameAndIndex(item.node.name, context);\n      }\n\n      // only process nodes that are not provided as input nodes.\n      if (inputNodes.indexOf(item.node) === -1) {\n        const tensors = executeOp(item.node, tensorMap, context);\n        if (!nodeName) {\n          [nodeName] = getNodeNameAndIndex(item.node.name, context);\n        }\n        const currentContext = context.currentContext;\n        if (tensors instanceof Promise) {\n          promises.push(tensors.then(t => {\n            tensorMap[nodeName] = t;\n            context.currentContext = currentContext;\n            this.checkTensorForDisposal(\n                nodeName, item.node, tensorMap, context, tensorsToKeep,\n                outputNames, intermediateTensorConsumerCount);\n            this.processChildNodes(\n                item.node, stack, context, tensorMap, added, usedNodes);\n            return t;\n          }));\n        } else {\n          tensorMap[nodeName] = tensors;\n          this.checkTensorForDisposal(\n              nodeName, item.node, tensorMap, context, tensorsToKeep,\n              outputNames, intermediateTensorConsumerCount);\n          this.processChildNodes(\n              item.node, stack, context, tensorMap, added, usedNodes);\n        }\n      } else {\n        this.processChildNodes(\n            item.node, stack, context, tensorMap, added, usedNodes);\n      }\n    }\n    return promises;\n  }\n\n  private processChildNodes(\n      node: Node, stack: NodeWithContexts[], context: ExecutionContext,\n      tensorMap: NamedTensorsMap, added: {[key: string]: boolean},\n      usedNodes: Set<string>) {\n    node.children.forEach((childNode) => {\n      const [nodeName, ] = getNodeNameAndIndex(childNode.name, context);\n      if (added[nodeName] || !usedNodes.has(childNode.name)) {\n        return;\n      }\n      // Merge op can be pushed if any of its inputs has value.\n      if (childNode.op === 'Merge') {\n        if (childNode.inputNames.some(name => {\n              return !!getTensor(name, tensorMap, context);\n            })) {\n          added[nodeName] = true;\n          stack.push({contexts: context.currentContext, node: childNode});\n        }\n      } else  // Otherwise all inputs must to have value.\n          if (childNode.inputNames.every(name => {\n                return !!getTensor(name, tensorMap, context);\n              })) {\n        added[nodeName] = true;\n        stack.push({contexts: context.currentContext, node: childNode});\n      }\n    });\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  dispose() {\n    Object.keys(this.weightMap)\n        .forEach(\n            key => this.weightMap[key].forEach(tensor => tensor.dispose()));\n  }\n\n  private checkInputShapeAndType(inputs: NamedTensorMap) {\n    Object.keys(inputs).forEach(name => {\n      const input = inputs[name];\n      const [nodeName, ] = parseNodeName(name);\n      const node = this.graph.nodes[nodeName];\n      if (node.attrParams['shape'] && node.attrParams['shape'].value) {\n        const shape = node.attrParams['shape'].value as number[];\n        const match = shape.length === input.shape.length &&\n            input.shape.every(\n                (dim, index) => shape[index] === -1 || shape[index] === dim);\n        util.assert(\n            match,\n            () => `The shape of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be [${shape}], but was ` +\n                `[${input.shape}]`);\n      }\n      if (node.attrParams['dtype'] && node.attrParams['dtype'].value) {\n        util.assert(\n            input.dtype === node.attrParams['dtype'].value as string,\n            () => `The dtype of dict['${node.name}'] provided in ` +\n                `model.execute(dict) must be ` +\n                `${node.attrParams['dtype'].value}, but was ${input.dtype}`);\n      }\n    });\n  }\n\n  private mapInputs(inputs: NamedTensorMap) {\n    const result: NamedTensorMap = {};\n    for (const inputName in inputs) {\n      if (this._signature != null && this._signature.inputs != null &&\n          this._signature.inputs[inputName] != null) {\n        const tensor = this._signature.inputs[inputName];\n        result[tensor.name] = inputs[inputName];\n      } else {\n        result[inputName] = inputs[inputName];\n      }\n    }\n    return result;\n  }\n\n  private checkInputs(inputs: NamedTensorMap) {\n    const notInGraph = Object.keys(inputs).filter(name => {\n      const [nodeName] = parseNodeName(name);\n      return this.graph.nodes[nodeName] == null;\n    });\n    if (notInGraph.length > 0) {\n      throw new Error(\n          `The dict provided in model.execute(dict) has ` +\n          `keys: [${notInGraph}] that are not part of graph`);\n    }\n  }\n\n  private mapOutputs(outputs: string[]) {\n    return outputs.map(name => {\n      if (this._signature != null && this._signature.outputs != null &&\n          this._signature.outputs[name] != null) {\n        const tensor = this._signature.outputs[name];\n        return tensor.name;\n      }\n      return name;\n    }, {});\n  }\n  private checkOutputs(outputs: string[]): void {\n    outputs.forEach(name => {\n      const [normalizedName] = parseNodeName(name);\n      if (!this.graph.nodes[normalizedName]) {\n        throw new Error(`The output '${name}' is not found in the graph`);\n      }\n    });\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {InferenceModel, io, ModelPredictConfig, NamedTensorMap, Tensor} from '@tensorflow/tfjs-core';\n\nimport * as tensorflow from '../data/compiled_api';\nimport {NamedTensorsMap, TensorInfo} from '../data/types';\nimport {OperationMapper} from '../operations/operation_mapper';\n\nimport {GraphExecutor} from './graph_executor';\n\nexport const TFHUB_SEARCH_PARAM = '?tfjs-format=file';\nexport const DEFAULT_MODEL_NAME = 'model.json';\n/**\n * A `tf.GraphModel` is a directed, acyclic graph of built from\n * SavedModel GraphDef and allows inference exeuction.\n *\n * A `tf.GraphModel` can only be created by loading from a model converted from\n * a [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) using\n * the command line converter tool and loaded via `tf.loadGraphModel`.\n */\n/** @doc {heading: 'Models', subheading: 'Classes'} */\nexport class GraphModel implements InferenceModel {\n  private executor: GraphExecutor;\n  private version = 'n/a';\n  private handler: io.IOHandler;\n  private artifacts: io.ModelArtifacts;\n  // Returns the version information for the tensorflow model GraphDef.\n  get modelVersion(): string {\n    return this.version;\n  }\n\n  get inputNodes(): string[] {\n    return this.executor.inputNodes;\n  }\n\n  get outputNodes(): string[] {\n    return this.executor.outputNodes;\n  }\n\n  get inputs(): TensorInfo[] {\n    return this.executor.inputs;\n  }\n\n  get outputs(): TensorInfo[] {\n    return this.executor.outputs;\n  }\n\n  get weights(): NamedTensorsMap {\n    return this.executor.weightMap;\n  }\n\n  /**\n   * @param modelUrl url for the model, or an `io.IOHandler`.\n   * @param weightManifestUrl url for the weight file generated by\n   * scripts/convert.py script.\n   * @param requestOption options for Request, which allows to send credentials\n   * and custom headers.\n   * @param onProgress Optional, progress callback function, fired periodically\n   * before the load is completed.\n   */\n  constructor(\n      private modelUrl: string|io.IOHandler,\n      private loadOptions: io.LoadOptions = {}) {\n    if (loadOptions == null) {\n      this.loadOptions = {};\n    }\n  }\n\n  private findIOHandler() {\n    const path = this.modelUrl;\n    if ((path as io.IOHandler).load != null) {\n      // Path is an IO Handler.\n      this.handler = path as io.IOHandler;\n    } else if (this.loadOptions.requestInit != null) {\n      this.handler = io.browserHTTPRequest(path as string, this.loadOptions);\n    } else {\n      const handlers =\n          io.getLoadHandlers(path as string, this.loadOptions.onProgress);\n      if (handlers.length === 0) {\n        // For backward compatibility: if no load handler can be found,\n        // assume it is a relative http path.\n        handlers.push(io.browserHTTPRequest(path as string, this.loadOptions));\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) load handlers for ` +\n            `URL '${[path]}'`);\n      }\n      this.handler = handlers[0];\n    }\n  }\n\n  /**\n   * Loads the model and weight files, construct the in memory weight map and\n   * compile the inference graph.\n   */\n  async load(): Promise<boolean> {\n    this.findIOHandler();\n    if (this.handler.load == null) {\n      throw new Error(\n          'Cannot proceed with model loading because the IOHandler provided ' +\n          'does not have the `load` method implemented.');\n    }\n    this.artifacts = await this.handler.load();\n    const graph = this.artifacts.modelTopology as tensorflow.IGraphDef;\n    let signature = {};\n    if (this.artifacts.userDefinedMetadata != null) {\n      signature =  // tslint:disable-next-line:no-any\n          (this.artifacts.userDefinedMetadata as any).signature as\n          tensorflow.ISignatureDef;\n    }\n\n    this.version = `${graph.versions.producer}.${graph.versions.minConsumer}`;\n    const weightMap =\n        io.decodeWeights(this.artifacts.weightData, this.artifacts.weightSpecs);\n    this.executor = new GraphExecutor(\n        OperationMapper.Instance.transformGraph(graph, signature));\n    this.executor.weightMap = this.convertTensorMapToTensorsMap(weightMap);\n    return true;\n  }\n\n  /**\n   * Save the configuration and/or weights of the GraphModel.\n   *\n   * An `IOHandler` is an object that has a `save` method of the proper\n   * signature defined. The `save` method manages the storing or\n   * transmission of serialized data (\"artifacts\") that represent the\n   * model's topology and weights onto or via a specific medium, such as\n   * file downloads, local storage, IndexedDB in the web browser and HTTP\n   * requests to a server. TensorFlow.js provides `IOHandler`\n   * implementations for a number of frequently used saving mediums, such as\n   * `tf.io.browserDownloads` and `tf.io.browserLocalStorage`. See `tf.io`\n   * for more details.\n   *\n   * This method also allows you to refer to certain types of `IOHandler`s\n   * as URL-like string shortcuts, such as 'localstorage://' and\n   * 'indexeddb://'.\n   *\n   * Example 1: Save `model`'s topology and weights to browser [local\n   * storage](https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage);\n   * then load it back.\n   *\n   * ```js\n   * const modelUrl =\n   *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n   * const model = await tf.loadGraphModel(modelUrl);\n   * const zeros = tf.zeros([1, 224, 224, 3]);\n   * model.predict(zeros).print();\n   *\n   * const saveResults = await model.save('localstorage://my-model-1');\n   *\n   * const loadedModel = await tf.loadGraphModel('localstorage://my-model-1');\n   * console.log('Prediction from loaded model:');\n   * model.predict(zeros).print();\n   * ```\n   *\n   * @param handlerOrURL An instance of `IOHandler` or a URL-like,\n   * scheme-based string shortcut for `IOHandler`.\n   * @param config Options for saving the model.\n   * @returns A `Promise` of `SaveResult`, which summarizes the result of\n   * the saving, such as byte sizes of the saved artifacts for the model's\n   *   topology and weight values.\n   */\n  /**\n   * @doc {heading: 'Models', subheading: 'Classes', ignoreCI: true}\n   */\n  async save(handlerOrURL: io.IOHandler|string, config?: io.SaveConfig):\n      Promise<io.SaveResult> {\n    if (typeof handlerOrURL === 'string') {\n      const handlers = io.getSaveHandlers(handlerOrURL);\n      if (handlers.length === 0) {\n        throw new Error(\n            `Cannot find any save handlers for URL '${handlerOrURL}'`);\n      } else if (handlers.length > 1) {\n        throw new Error(\n            `Found more than one (${handlers.length}) save handlers for ` +\n            `URL '${handlerOrURL}'`);\n      }\n      handlerOrURL = handlers[0];\n    }\n    if (handlerOrURL.save == null) {\n      throw new Error(\n          'GraphModel.save() cannot proceed because the IOHandler ' +\n          'provided does not have the `save` attribute defined.');\n    }\n\n    return handlerOrURL.save(this.artifacts);\n  }\n\n  /**\n   * Execute the inference for the input tensors.\n   *\n   * @param input The input tensors, when there is single input for the model,\n   * inputs param should be a `tf.Tensor`. For models with mutliple inputs,\n   * inputs params should be in either `tf.Tensor`[] if the input order is\n   * fixed, or otherwise NamedTensorMap format.\n   *\n   * For model with multiple inputs, we recommend you use NamedTensorMap as the\n   * input type, if you use `tf.Tensor`[], the order of the array needs to\n   * follow the\n   * order of inputNodes array. @see {@link GraphModel.inputNodes}\n   *\n   * You can also feed any intermediate nodes using the NamedTensorMap as the\n   * input type. For example, given the graph\n   *    InputNode => Intermediate => OutputNode,\n   * you can execute the subgraph Intermediate => OutputNode by calling\n   *    model.execute('IntermediateNode' : tf.tensor(...));\n   *\n   * This is useful for models that uses tf.dynamic_rnn, where the intermediate\n   * state needs to be fed manually.\n   *\n   * For batch inference execution, the tensors for each input need to be\n   * concatenated together. For example with mobilenet, the required input shape\n   * is [1, 244, 244, 3], which represents the [batch, height, width, channel].\n   * If we are provide a batched data of 100 images, the input tensor should be\n   * in the shape of [100, 244, 244, 3].\n   *\n   * @param config Prediction configuration for specifying the batch size and\n   * output node names. Currently the batch size option is ignored for graph\n   * model.\n   *\n   * @returns Inference result tensors. The output would be single `tf.Tensor`\n   * if model has single output node, otherwise Tensor[] or NamedTensorMap[]\n   * will be returned for model with multiple outputs.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  predict(inputs: Tensor|Tensor[]|NamedTensorMap, config?: ModelPredictConfig):\n      Tensor|Tensor[]|NamedTensorMap {\n    return this.execute(inputs, this.outputNodes);\n  }\n\n  private normalizeInputs(inputs: Tensor|Tensor[]|\n                          NamedTensorMap): NamedTensorMap {\n    if (!(inputs instanceof Tensor) && !Array.isArray(inputs)) {\n      // The input is already a NamedTensorMap.\n      return inputs;\n    }\n    inputs = Array.isArray(inputs) ? inputs : [inputs];\n    if (inputs.length !== this.inputNodes.length) {\n      throw new Error(\n          'Input tensor count mismatch,' +\n          `the graph model has ${this.inputNodes.length} placeholders, ` +\n          `while there are ${inputs.length} input tensors.`);\n    }\n    return this.inputNodes.reduce((map, inputName, i) => {\n      map[inputName] = (inputs as Tensor[])[i];\n      return map;\n    }, {} as NamedTensorMap);\n  }\n\n  private normalizeOutputs(outputs: string|string[]): string[] {\n    outputs = outputs || this.outputNodes;\n    return !Array.isArray(outputs) ? [outputs] : outputs;\n  }\n\n  /**\n   * Executes inference for the model for given input tensors.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no\n   * outputs are specified, the default outputs of the model would be used.\n   * You can inspect intermediate nodes of the model by adding them to the\n   * outputs array.\n   *\n   * @returns A single tensor if provided with a single output or no outputs\n   * are provided and there is only one default output, otherwise return a\n   * tensor array. The order of the tensor array is the same as the outputs\n   * if provided, otherwise the order of outputNodes attribute of the model.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  execute(inputs: Tensor|Tensor[]|NamedTensorMap, outputs?: string|string[]):\n      Tensor|Tensor[] {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = this.executor.execute(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n  /**\n   * Executes inference for the model for given input tensors in async\n   * fashion, use this method when your model contains control flow ops.\n   * @param inputs tensor, tensor array or tensor map of the inputs for the\n   * model, keyed by the input node names.\n   * @param outputs output node name from the Tensorflow model, if no outputs\n   * are specified, the default outputs of the model would be used. You can\n   * inspect intermediate nodes of the model by adding them to the outputs\n   * array.\n   *\n   * @returns A Promise of single tensor if provided with a single output or\n   * no outputs are provided and there is only one default output, otherwise\n   * return a tensor map.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  async executeAsync(\n      inputs: Tensor|Tensor[]|NamedTensorMap,\n      outputs?: string|string[]): Promise<Tensor|Tensor[]> {\n    inputs = this.normalizeInputs(inputs);\n    outputs = this.normalizeOutputs(outputs);\n    const result = await this.executor.executeAsync(inputs, outputs);\n    return result.length > 1 ? result : result[0];\n  }\n\n  private convertTensorMapToTensorsMap(map: NamedTensorMap): NamedTensorsMap {\n    return Object.keys(map).reduce((newMap: NamedTensorsMap, key) => {\n      newMap[key] = [map[key]];\n      return newMap;\n    }, {});\n  }\n\n  /**\n   * Releases the memory used by the weight tensors.\n   */\n  /** @doc {heading: 'Models', subheading: 'Classes'} */\n  dispose() {\n    this.executor.dispose();\n  }\n}\n\n/**\n * Load a graph model given a URL to the model definition.\n *\n * Example of loading MobileNetV2 from a URL and making a prediction with a\n * zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://storage.googleapis.com/tfjs-models/savedmodel/mobilenet_v2_1.0_224/model.json';\n * const model = await tf.loadGraphModel(modelUrl);\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n *\n * Example of loading MobileNetV2 from a TF Hub URL and making a prediction with\n * a zeros input:\n *\n * ```js\n * const modelUrl =\n *    'https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/classification/2';\n * const model = await tf.loadGraphModel(modelUrl, {fromTFHub: true});\n * const zeros = tf.zeros([1, 224, 224, 3]);\n * model.predict(zeros).print();\n * ```\n * @param modelUrl The url or an `io.IOHandler` that loads the model.\n * @param options Options for the HTTP request, which allows to send credentials\n *    and custom headers.\n */\n/** @doc {heading: 'Models', subheading: 'Loading'} */\nexport async function loadGraphModel(\n    modelUrl: string|io.IOHandler,\n    options: io.LoadOptions = {}): Promise<GraphModel> {\n  if (modelUrl == null) {\n    throw new Error(\n        'modelUrl in loadGraphModel() cannot be null. Please provide a url ' +\n        'or an IOHandler that loads the model');\n  }\n  if (options == null) {\n    options = {};\n  }\n\n  if (options.fromTFHub) {\n    if ((modelUrl as io.IOHandler).load == null) {\n      if (!(modelUrl as string).endsWith('/')) {\n        modelUrl = (modelUrl as string) + '/';\n      }\n      modelUrl = `${modelUrl}${DEFAULT_MODEL_NAME}${TFHUB_SEARCH_PARAM}`;\n    }\n  }\n  const model = new GraphModel(modelUrl, options);\n  await model.load();\n  return model;\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.4';\nexport 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\ No newline at end of file
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/version.d.ts b/node_modules/@tensorflow/tfjs-converter/dist/version.d.ts
index bf27e15b6..8370526d7 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/version.d.ts
+++ b/node_modules/@tensorflow/tfjs-converter/dist/version.d.ts
@@ -1,3 +1,3 @@
 /** @license See the LICENSE file. */
-declare const version = "1.7.2";
+declare const version = "1.7.4";
 export { version };
diff --git a/node_modules/@tensorflow/tfjs-converter/dist/version.js b/node_modules/@tensorflow/tfjs-converter/dist/version.js
index d97b48cfc..39d5266b5 100644
--- a/node_modules/@tensorflow/tfjs-converter/dist/version.js
+++ b/node_modules/@tensorflow/tfjs-converter/dist/version.js
@@ -2,6 +2,6 @@
 /** @license See the LICENSE file. */
 Object.defineProperty(exports, "__esModule", { value: true });
 // This code is auto-generated, do not modify this file!
-var version = '1.7.2';
+var version = '1.7.4';
 exports.version = version;
 //# sourceMappingURL=version.js.map
\ No newline at end of file
diff --git a/node_modules/@tensorflow/tfjs-converter/package.json b/node_modules/@tensorflow/tfjs-converter/package.json
index 56b3889f9..9c5cefdcc 100644
--- a/node_modules/@tensorflow/tfjs-converter/package.json
+++ b/node_modules/@tensorflow/tfjs-converter/package.json
@@ -1,39 +1,39 @@
 {
   "_args": [
     [
-      "@tensorflow/tfjs-converter@1.7.2",
-      "/home/runner/work/readable-readme/readable-readme"
+      "@tensorflow/tfjs-converter@1.7.4",
+      "/workspace/readable-readme"
     ]
   ],
-  "_from": "@tensorflow/tfjs-converter@1.7.2",
-  "_id": "@tensorflow/tfjs-converter@1.7.2",
+  "_from": "@tensorflow/tfjs-converter@1.7.4",
+  "_id": "@tensorflow/tfjs-converter@1.7.4",
   "_inBundle": false,
-  "_integrity": "sha512-6ckNQ3n36X20/+YDCTictfKftPH3urf5I+wc0QNlsSJhik3QiliYJy+v5hmjQGSJ4ow2oyW5T2lUsy9aNoNaTg==",
+  "_integrity": "sha512-B/Ux9I3osI0CXoESGR0Xe5C6BsEfC04+g2xn5zVaW9KEuVEnGEgnuBQxgijRFzkqTwoyLv4ptAmjyIghVARX0Q==",
   "_location": "/@tensorflow/tfjs-converter",
   "_phantomChildren": {},
   "_requested": {
     "type": "version",
     "registry": true,
-    "raw": "@tensorflow/tfjs-converter@1.7.2",
+    "raw": "@tensorflow/tfjs-converter@1.7.4",
     "name": "@tensorflow/tfjs-converter",
     "escapedName": "@tensorflow%2ftfjs-converter",
     "scope": "@tensorflow",
-    "rawSpec": "1.7.2",
+    "rawSpec": "1.7.4",
     "saveSpec": null,
-    "fetchSpec": "1.7.2"
+    "fetchSpec": "1.7.4"
   },
   "_requiredBy": [
     "/@tensorflow/tfjs"
   ],
-  "_resolved": "https://registry.npmjs.org/@tensorflow/tfjs-converter/-/tfjs-converter-1.7.2.tgz",
-  "_spec": "1.7.2",
-  "_where": "/home/runner/work/readable-readme/readable-readme",
+  "_resolved": "https://registry.npmjs.org/@tensorflow/tfjs-converter/-/tfjs-converter-1.7.4.tgz",
+  "_spec": "1.7.4",
+  "_where": "/workspace/readable-readme",
   "bugs": {
     "url": "https://github.com/tensorflow/tfjs-converter/issues"
   },
   "description": "Tensorflow model converter for javascript",
   "devDependencies": {
-    "@tensorflow/tfjs-core": "1.7.2",
+    "@tensorflow/tfjs-core": "1.7.4",
     "@types/deep-equal": "^1.0.1",
     "@types/jasmine": "~2.8.6",
     "@types/long": "~3.0.32",
@@ -77,7 +77,7 @@
   "module": "dist/tf-converter.esm.js",
   "name": "@tensorflow/tfjs-converter",
   "peerDependencies": {
-    "@tensorflow/tfjs-core": "1.7.2"
+    "@tensorflow/tfjs-core": "1.7.4"
   },
   "repository": {
     "type": "git",
@@ -107,5 +107,5 @@
   },
   "types": "dist/index.d.ts",
   "unpkg": "dist/tf-converter.min.js",
-  "version": "1.7.2"
+  "version": "1.7.4"
 }
diff --git a/node_modules/@tensorflow/tfjs-converter/src/operations/executors/logical_executor.ts b/node_modules/@tensorflow/tfjs-converter/src/operations/executors/logical_executor.ts
index d56321373..c089b806d 100644
--- a/node_modules/@tensorflow/tfjs-converter/src/operations/executors/logical_executor.ts
+++ b/node_modules/@tensorflow/tfjs-converter/src/operations/executors/logical_executor.ts
@@ -24,9 +24,9 @@ import {InternalOpExecutor, Node} from '../types';
 import {getParamValue} from './utils';
 
 export const executeOp: InternalOpExecutor = (node: Node,
-                                            tensorMap: NamedTensorsMap,
-                                            context: ExecutionContext):
-                                               tfc.Tensor[] => {
+                                              tensorMap: NamedTensorsMap,
+                                              context: ExecutionContext):
+                                                 tfc.Tensor[] => {
   switch (node.op) {
     case 'Equal': {
       return [tfc.equal(
@@ -72,7 +72,8 @@ export const executeOp: InternalOpExecutor = (node: Node,
           getParamValue('a', node, tensorMap, context) as tfc.Tensor,
           getParamValue('b', node, tensorMap, context) as tfc.Tensor)];
     }
-    case 'Select': {
+    case 'Select':
+    case 'SelectV2': {
       return [tfc.where(
           getParamValue('condition', node, tensorMap, context) as tfc.Tensor,
           getParamValue('a', node, tensorMap, context) as tfc.Tensor,
diff --git a/node_modules/@tensorflow/tfjs-converter/src/operations/op_list/logical.ts b/node_modules/@tensorflow/tfjs-converter/src/operations/op_list/logical.ts
index 5b65f8105..dda89b7be 100644
--- a/node_modules/@tensorflow/tfjs-converter/src/operations/op_list/logical.ts
+++ b/node_modules/@tensorflow/tfjs-converter/src/operations/op_list/logical.ts
@@ -124,6 +124,18 @@ export const json: OpMapper[] = [
       {'start': 1, 'name': 'a', 'type': 'tensor'},
       {'start': 2, 'name': 'b', 'type': 'tensor'},
     ],
+    'attrs': [
+      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}
+    ]
+  },
+  {
+    'tfOpName': 'SelectV2',
+    'category': 'logical',
+    'inputs': [
+      {'start': 0, 'name': 'condition', 'type': 'tensor'},
+      {'start': 1, 'name': 'a', 'type': 'tensor'},
+      {'start': 2, 'name': 'b', 'type': 'tensor'},
+    ],
     'attrs': [{
       'tfName': 'T',
       'name': 'dtype',
diff --git a/node_modules/@tensorflow/tfjs-converter/src/version.ts b/node_modules/@tensorflow/tfjs-converter/src/version.ts
index a9e05df59..10a38cd72 100644
--- a/node_modules/@tensorflow/tfjs-converter/src/version.ts
+++ b/node_modules/@tensorflow/tfjs-converter/src/version.ts
@@ -1,5 +1,5 @@
 /** @license See the LICENSE file. */
 
 // This code is auto-generated, do not modify this file!
-const version = '1.7.2';
+const version = '1.7.4';
 export {version};
diff --git a/node_modules/@tensorflow/tfjs-core/dist/miniprogram/index.js b/node_modules/@tensorflow/tfjs-core/dist/miniprogram/index.js
index 0f1b2a172..2e5bdf78d 100644
--- a/node_modules/@tensorflow/tfjs-core/dist/miniprogram/index.js
+++ b/node_modules/@tensorflow/tfjs-core/dist/miniprogram/index.js
@@ -14,5 +14,5 @@
  * limitations under the License.
  * =============================================================================
  */
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this.throwIfDisposed(),gt.asin(this)},t.prototype.acos=function(){return this.throwIfDisposed(),gt.acos(this)},t.prototype.atan=function(){return this.throwIfDisposed(),gt.atan(this)},t.prototype.sinh=function(){return this.throwIfDisposed(),gt.sinh(this)},t.prototype.cosh=function(){return this.throwIfDisposed(),gt.cosh(this)},t.prototype.tanh=function(){return this.throwIfDisposed(),gt.tanh(this)},t.prototype.asinh=function(){return this.throwIfDisposed(),gt.asinh(this)},t.prototype.acosh=function(){return this.throwIfDisposed(),gt.acosh(this)},t.prototype.atanh=function(){return this.throwIfDisposed(),gt.atanh(this)},t.prototype.erf=function(){return this.throwIfDisposed(),gt.erf(this)},t.prototype.round=function(){return this.throwIfDisposed(),gt.round(this)},t.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),gt.step(this,t)},t.prototype.softmax=function(t){return void 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must match"}))}function Dt(t){var e=[];return function t(e,n,r){if(null==e)return;if(e instanceof xt)return void n.push(e);if(o=e,!Array.isArray(o)&&"object"!=typeof o)return;var o;var a=e;for(var i in a){var s=a[i];r.has(s)||(r.add(s),t(s,n,r))}}(t,e,new Set),e}var Ft,_t=Object.freeze({makeTypesMatch:Nt,assertTypesMatch:Tt,isTensorInList:function(t,e){return e.some((function(e){return e.id===t.id}))},getTensorsInContainer:Dt}),Ot=function(){function t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),Mt=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ot}return t.prototype.ready=function(){return r(this,void 0,void 0,(function(){var t,e,n;return o(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return r(this,void 0,void 0,(function(){var e,n,r;return o(this,(function(o){switch(o.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return r=o.sent(),[3,3];case 2:r=n,o.label=3;case 3:if(!r)return[2,!1];o.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new it(this.backendInstance),[2,!0]}}))}))},t.prototype.setupRegisteredKernels=function(){var t=this;d(this.backendName).forEach((function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)}))},t.prototype.disposeRegisteredKernels=function(t){var e=this;d(t).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])}))},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var o=++this.pendingBackendInitId,a=r.then((function(n){return!(o<e.pendingBackendInitId)&&(e.registry[t]=n,e.pendingBackendInit=null,!0)})).catch((function(n){return!(o<e.pendingBackendInitId)&&(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),!1)}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority}))},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),o=r.success,a=r.asyncInit;if(a||o)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,o=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,o=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=t}return this.scopedRun((function(){return r.startScope(o)}),(function(){return r.endScope(n)}),(function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],(function(t){return{x:function(){return t.toFloat()}}}),[],{}),e},t.prototype.runKernel=function(t,e,n,r,o){return this.runKernelFunc(null,e,null,t,n,r,o)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),o=0;n.forEach((function(t){o+="complex64"===t.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-e-o-a;if(i>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+i+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,o,a,i){var s,u=this,c=[],h=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var d,f=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var v,m=l(r,this.backendName);if(null!=m)d=function(){var t=u.backend.numDataIds();v=m.kernelFunc({inputs:e,attrs:o,backend:u.backend});var n=Array.isArray(v)?v:[v];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map((function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)}));if(h){var l=u.getTensorsForGradient(r,e,s);if(null==l){null==i&&(i=[]);var d=s.filter((function(t,e){return i[e]}));l=(a||[]).slice().concat(d)}c=u.saveTensorsForBackwardMode(l)}return s};else{var g=function(t){h&&(c=t.map((function(t){return u.keep(u.clone(t))})))};d=function(){var e=u.backend.numDataIds();v=u.tidy((function(){return t(u.backend,g)}));var n=Array.isArray(v)?v:[v];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n}}return this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,(function(){return d()})):d()})),h&&this.addTapeNode(r,e,s,n,c,o),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-f,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map((function(t){return e[t].shape})),outputShapes:s.map((function(t){return t.shape}))}),Array.isArray(v)?s:s[0]},t.prototype.saveTensorsForBackwardMode=function(t){var e=this;return t.map((function(t){return e.keep(e.clone(t))}))},t.prototype.getTensorsForGradient=function(t,e,n){var r=h(t);if(null!=r){var o=r.inputsToSave||[],a=r.outputsToSave||[],i=void 0;r.saveAllInputs?(b(Array.isArray(e),(function(){return"saveAllInputs is true, expected inputs to be an array."})),i=Object.keys(e).map((function(t){return e[t]}))):i=o.map((function(t){return e[t]}));var s=n.filter((function(t,e){return a[e]}));return i.concat(s)}return null},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var o=t;"string"===n&&V(t[0])&&(o=t.map((function(t){return et(t)})));var a=r.write(o,e,n),i=new xt(e,n,a,this.nextTensorId());if(this.incRef(i,r),"string"===n){var s=this.state.tensorInfo.get(a),u=z(o);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},t.prototype.makeTensorFromDataId=function(t,e,n,r){var o=new xt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(o,r),o},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var o=new It(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[o.name])throw new Error("Variable with name "+o.name+" was already registered");return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o},t.prototype.incRef=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*U(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof It||this.track(t)},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return r(this,void 0,void 0,(function(){var e,n;return o(this,(function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(t){return t.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n,r,o,a){var i=this,s={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:o},u=h(t);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(t){return t=t.map((function(t,e){if(null==t){var r=n[e],o=J(r.size,r.dtype);return i.makeTensor(o,r.shape,r.dtype)}return t})),r(t.length>1?t:t[0],o,a)}),this.state.activeTape.push(s)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=Dt(t),r=new Set(n.map((function(t){return t.id}))),o=0;o<this.state.activeScope.track.length;o++){var a=this.state.activeScope.track[o];a.kept||r.has(a.id)||a.dispose()}var i=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(t){t.kept||t.scopeId!==i.id||e.track(t)}))},t.prototype.gradients=function(t,e,n,r){var o=this;if(void 0===r&&(r=!1),b(e.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '"+n.dtype+"'");var a=this.scopedRun((function(){return o.startTape()}),(function(){return o.endTape()}),(function(){return o.tidy("forward",t)}));b(a instanceof xt,(function(){return"The result y returned by f() must be a tensor."}));var i=function(t,e,n){for(var r={},o={},a=0;a<e.length;a++)r[e[a].id]=!0;for(a=0;a<t.length;a++){var i=(p=t[a]).inputs;for(var s in i){for(var u=i[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){p.outputs.forEach((function(t){return r[t.id]=!0})),c=!0,o[p.id]=!0;break}if(c)break}}var h={};h[n.id]=!0;var d={};for(a=t.length-1;a>=0;a--)for(i=(p=t[a]).inputs,l=0;l<p.outputs.length;l++)if(h[p.outputs[l].id]){for(var s in i)h[i[s].id]=!0,d[p.id]=!0;break}var f=[];for(a=0;a<t.length;a++){var p;if(o[(p=t[a]).id]&&d[p.id]){var v={};for(var s in p.inputs){var m=p.inputs[s];r[m.id]&&(v[s]=m)}var g=Object.assign({},p);g.inputs=v,g.outputs=p.outputs,f.push(g)}}return f}(this.state.activeTape,e,a);if(!r&&0===i.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var t,r,s={};s[a.id]=null==n?(t=a.shape,r=Q(R(t),"float32"),Bt.makeTensor(r,t,"float32")):n,function(t,e,n){for(var r=function(r){var o=e[r],a=[];if(o.outputs.forEach((function(e){var n=t[e.id];null!=n?a.push(n):a.push(null)})),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+o.kernelName+".");var i=o.gradient(a),s=function(e){if(!(e in i))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(i)+".");var r=n((function(){return i[e]()}));if("float32"!==r.dtype)throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=o.inputs[e];if(!I(r.shape,a.shape))throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+a.shape+"'");if(null==t[a.id])t[a.id]=r;else{var s=t[a.id];t[a.id]=s.add(r),s.dispose()}};for(var u in o.inputs)s(u)},o=e.length-1;o>=0;o--)r(o)}(s,i,(function(t){return o.tidy(t)}));var u=e.map((function(t){return s[t.id]}));return 0===o.state.gradientDepth&&(o.state.activeTape.forEach((function(t){for(var e=0,n=t.saved;e<n.length;e++){n[e].dispose()}})),o.state.activeTape=null),{value:a,grads:u}}))},t.prototype.customGrad=function(t){var e=this;return b(K(t),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n,r=[],o=0;o<arguments.length;o++)r[o]=arguments[o];b(r.every((function(t){return t instanceof xt})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var a={};return r.forEach((function(t,e){a[e]=t})),e.runKernelFunc((function(e,o){return b((n=t.apply(void 0,r.concat([o]))).value instanceof xt,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),b(K(n.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),n.value}),a,(function(t,e){var o=n.gradFunc(t,e),a=Array.isArray(o)?o:[o];b(a.length===r.length,(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."})),b(a.every((function(t){return t instanceof xt})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var i={};return a.forEach((function(t,e){i[e]=function(){return t}})),i}))}},t.prototype.readSync=function(t){return this.state.tensorInfo.get(t).backend.readSync(t)},t.prototype.read=function(t){return this.state.tensorInfo.get(t).backend.read(t)},t.prototype.time=function(t){return r(this,void 0,void 0,(function(){var e,n;return o(this,(function(r){switch(r.label){case 0:return e=Z(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=Z()-e,[2,n]}}))}))},t.prototype.track=function(t){return null!=this.state.activeScope&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t},Object.defineProperty(t.prototype,"registeredVariables",{get:function(){return this.state.registeredVariables},enumerable:!0,configurable:!0}),t.prototype.reset=function(){for(var t in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Ot,this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},t.nextTensorId=0,t.nextVariableId=0,t}();var Bt=function(){var e=function(){if(null==Ft){var t=void 0;if("undefined"!=typeof window)t=window;else if("undefined"!=typeof global)t=global;else if("undefined"!=typeof process)t=process;else{if("undefined"==typeof self)throw new Error("Could not find a global object");t=self}Ft=t}return Ft}();if(null==e._tfengine){var n=new a(e);e._tfengine=new Mt(n)}return function(e){t.ENV=e}(e._tfengine.ENV),mt=function(){return e._tfengine},e._tfengine}();function Pt(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}var Lt=s();Lt.registerFlag("DEBUG",(function(){return!1}),(function(t){t&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. 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   return sampleTexture("+n+", resultUV);\n      }\n    ";var c,l=Fa(u),h=cr(t.shapeInfo.logicalShape,e.logicalShape),d=u-s,f=["x","y","z","w","u","v"];c=0===s?"":u<2&&h.length>=1?"coords = 0;":h.map((function(t){return"coords."+f[t+d]+" = 0;"})).join("\n");var p="";p=u<2&&s>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+f[e+d]})).join(", ");return"\n    float "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+c+"\n      return get"+r+"("+p+");\n    }\n  "}(t,e));return r}(t,e,r)})).join("\n"),c=e.texShape,l=xa(),h=function(t){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+t.texture2D+"(textureSampler, uv).r;\n    }\n  "}(l),d=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+t.defineSpecialNaN+"\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+ka+"\n    "+Sa+"\n    "+Aa+"\n  "}(l);return e.isPacked?(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(1===n[0])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ";if(1===n[1])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(I(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Math.ceil(n[2]/2),i=a*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+o[0]+", "+o[1]+"));\n      int index = resTexRC.x * "+o[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),o=r*Math.ceil(t[t.length-2]/2),a=o,i="",s="b, r, c",u=2;u<t.length-1;u++)a*=t[t.length-u-1],i="\n      int b"+u+" = index / "+a+";\n      index -= b"+u+" * "+a+";\n    "+i,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+i+"\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,o,a,i}(e.logicalShape,c),i=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(l)):(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){if(1===e[0])return"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ";if(1===e[1])return"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){if(I(t,e))return"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ";if(1===t[1])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ";if(1===t[0])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=ba(["r","c","d"],t),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(t,e){var n=ba(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=ba(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=ba(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,c),i=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),r&&(d+=Na),[d,h,i,s,a,u,n].join("\n")}function Ra(t){var e=t.shapeInfo.logicalShape;switch(e.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===o&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=t.shapeInfo.texShape,s=i[0],u=i[1],c=Ta(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+c+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+Da(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===a&&1===o)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=Ta(e);if(1===a)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+i+") + 0.5) / "+o+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ";if(1===o)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+i+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ";return"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+o+", "+a+", index + "+i+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape;if(null!=o&&I(e,o)){var a=o[0],i=o[1];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var s=_(e),u=s.newShape,c=s.keptDims,l=u;if(l.length<e.length){var h=_a(t,l);return"\n      "+Ra(h)+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+Oa(["row","col"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+Da(t)+"\n      }\n    ";var d=o[0],f=o[1],p=Ta(n);if(1===f)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+d+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";if(1===d)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+f+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+p+";\n    vec2 uv = uvFromFlat("+d+", "+f+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[1]*e[2],a=e[2],i=_(e),s=i.newShape,u=i.keptDims,c=s;if(c.length<e.length){var l=_a(t,c);return"\n        "+Ra(l)+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+Oa(["row","col","depth"],u)+");\n        }\n      "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+o+", "+a+", 1)));\n        "+Da(t)+"\n      }\n    ";var h=t.shapeInfo.texShape,d=h[0],f=h[1],p=t.shapeInfo.flatOffset;if(f===o&&null==p)return"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+f+".0, "+d+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ";if(f===a&&null==p)return"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+f+".0, "+d+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";var v=Ta(n);return"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+o+" + col * "+a+" + depth + "+v+";\n        vec2 uv = uvFromFlat("+d+", "+f+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[3],a=e[2]*o,i=e[1]*a,s=_(e),u=s.newShape,c=s.keptDims;if(u.length<e.length){var l=_a(t,u);return"\n      "+Ra(l)+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+Oa(["row","col","depth","depth2"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+i+", "+a+", "+o+", 1)));\n        "+Da(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,d=t.shapeInfo.texShape,f=d[0],p=d[1];if(p===i&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+p+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(p===o&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+p+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=Ta(n);return"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+i+" + col * "+a+" +\n          depth * "+o+" + depth2;\n      vec2 uv = uvFromFlat("+f+", "+p+", index + "+v+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[4],a=e[3]*o,i=e[2]*a,s=e[1]*i,u=_(e),c=u.newShape,l=u.keptDims;if(c.length<e.length){var h=_a(t,c);return"\n      "+Ra(h)+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+Oa(["row","col","depth","depth2","depth3"],l)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+i+", "+a+", "+o+")) +\n          depth3;\n        "+Da(t)+"\n      }\n    ";var d=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,p=f[0],v=f[1];if(v===s&&null==d)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+i+", "+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===o&&null==d)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var m=Ta(n);return"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+i+" + depth * "+a+" +\n          depth2 * "+o+" + depth3 + "+m+";\n      vec2 uv = uvFromFlat("+p+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=_(e),a=o.newShape,i=o.keptDims;if(a.length<e.length){var s=_a(t,a);return"\n      "+Ra(s)+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+Oa(["row","col","depth","depth2","depth3","depth4"],i)+");\n      }\n    "}var u=e[5],c=e[4]*u,l=e[3]*c,h=e[2]*l,d=e[1]*h;if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+d+", "+h+", "+l+", "+c+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+u+", 1)));\n        "+Da(t)+"\n      }\n    ";var f=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,v=p[0],m=p[1];if(m===d&&null==f)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+h+", "+l+", "+c+", "+u+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(m===u&&null==f)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=Ta(n);return"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+d+" + col * "+h+" + depth * "+l+" +\n          depth2 * "+c+" + depth3 * "+u+" + depth4 + "+g+";\n      vec2 uv = uvFromFlat("+v+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function Ia(t){var e,n,r;switch(t.shapeInfo.logicalShape.length){case 0:return e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=xa(),"\n    vec4 "+n+"() {\n      return "+r.texture2D+"("+e+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=xa();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+o[0]+", "+o[1]+", index);\n      return "+a.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=o[0],i=o[1],s=xa();if(null!=o&&I(e,o))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],c=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+c+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===e[0]){var i=e.slice(1),s=_a(t,i);return"\n        "+Ia(s)+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+Oa(["b","row","col"],[1,2])+");\n        }\n      "}var u=a[0],c=a[1],l=Math.ceil(e[2]/2),h=l*Math.ceil(e[1]/2),d=xa();return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+u+", "+c+", "+h+", "+l+", b, row, col);\n      return "+d.texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,o="get"+r.charAt(0).toUpperCase()+r.slice(1),a=t.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=i[0],u=i[1],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),h="int b, int row, int col",d="b * "+l+" + (row / 2) * "+c+" + (col / 2)",f=2;f<n-1;f++)h="int b"+f+", "+h,l*=e[n-f-1],d="b"+f+" * "+l+" + "+d;var p=xa();return"\n    vec4 "+o+"("+h+") {\n      int index = "+d+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+p.texture2D+"("+r+", uv);\n    }\n  "}(t)}}var ka="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Sa="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Aa="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Na="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function Ta(t){return"offset"+t}function Da(t){var e=t.name,n=R(t.shapeInfo.logicalShape);return n<2?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function Fa(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function _a(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function Oa(t,e){return e.map((function(e){return t[e]})).join(", ")}var Ma=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,b(t.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var o=t[t.length-1],a=Math.ceil(o/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var i,s,u=this.outputShape,c=u.length,l=Fa(c),h=ya("coords",c);if(1===a){var d=Fa(s=c+1);i="\n        "+d+" sourceLocR = "+d+"("+h.join()+", 0);\n        ++"+h[c-1]+";\n        "+d+" sourceLocG = "+d+"("+h.join()+", 0);\n        ++"+h[c-2]+";\n        "+d+" sourceLocA = "+d+"("+h.join()+", 0);\n        --"+h[c-1]+";\n        "+d+" sourceLocB = "+d+"("+h.join()+", 0);\n        --"+h[c-2]+";"}else s=c,i="\n        "+l+" sourceLocR = coords;\n        ++"+h[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+h[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+h[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+h[c-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),p="."+f[s-1],v=f.map((function(t){return"int "+t})),m=ya("sourceLocR",s-1).concat("inIdx.r"),g=ya("sourceLocG",s-1).concat("inIdx.g"),y=ya("sourceLocB",s-1).concat("inIdx.b"),x=ya("sourceLocA",s-1).concat("inIdx.a"),w="max"===n?"greaterThan":"lessThan",C=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+m.join()+"),\n                             getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+x.join()+")));",E="vec4(\n            getAChannel("+m.join()+"),\n            hasNextCol ? getAChannel("+g.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+x.join()+") : 0.)",R=r?"":"\n      float getBestIndicesAChannel("+v.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+v.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+R+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+h[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+h[c-2]+" < "+(u[c-2]-1)+";\n        "+i+"\n        ivec4 srcIdx = ivec4(sourceLocR"+p+", sourceLocG"+p+",\n          sourceLocB"+p+", sourceLocA"+p+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+E+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+C+"\n          vec4 candidate = "+E+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+w+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},Ba=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,h=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+h+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+i+") {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Pa=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,h=t.effectiveFilterHeight,d=t.effectiveFilterWidth,f=l-1-t.padInfo.front,p=h-1-t.padInfo.top,v=d-1-t.padInfo.left,m=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+p+", "+v+");\n      const float avgMultiplier = float("+m+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+o+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+h+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+d+";\n                wC += "+c+") {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},La=function(t,e,n,r,o,a){this.outputShape=[],this.variableNames=["x","mean","variance"],hr(t,e),hr(t,n);var i="0.0";null!=r&&(hr(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="1.0";null!=o&&(hr(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+i+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},Wa=function(t,e,n,r,o,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],hr(t,e),hr(t,n);var i="vec4(0.0)";null!=r&&(hr(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=o&&(hr(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+i+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},Ua="return areal * breal - aimag * bimag;",za="return areal * bimag + aimag * breal;",Va=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=hr(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},Ga="return a + b;",Ha="return a - b;",qa="return a * b;",Ka="\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",ja="return (a < 0.) ? b * a : a;",Xa=function(t,e,n){this.variableNames=["A","B"],this.outputShape=hr(e,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},Ya="\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n",$a="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Qa=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=hr(e,n);var o=this.outputShape.length,a="";if(r)if(0===o||1===R(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+Fa(o)+" coords = getOutputCoords();\n        ",1===o)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var i=ya("coords",o);a+="\n            bool nextRowOutOfBounds =\n              ("+i[o-2]+" + 1) >= "+this.outputShape[o-2]+";\n            bool nextColOutOfBounds =\n              ("+i[o-1]+" + 1) >= "+this.outputShape[o-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+a+"\n\n        setOutput(result);\n      }\n    "},Ja=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Za=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),ti=function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},ei=function(t){this.outputShape=[],this.outputShape=un(t,1),this.variableNames=t.map((function(t,e){return"T"+e}));var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var o=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+o+"));")}var a=e.length,i=e[e.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+i+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},ni=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=un(t,e);var n=this.outputShape,r=n.length,o=Fa(r),a=ya("coords",r),i=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map((function(t,e){return"T"+e}));var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var c=i[e],l=i.slice(-2),h=i.join(),d="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+h+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var f=s[u-1];d+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+ri(i,c,f)+"),\n            vec2("+ri(l,c,f)+"));\n        }"}var p=s.length,v=s[s.length-1];d+="\n        return getChannel(\n          getT"+p+"("+ri(i,c,v)+"),\n          vec2("+ri(l,c,v)+"));",this.userCode="\n      float getValue("+i.map((function(t){return"int "+t}))+") {\n        "+d+"\n      }\n\n      void main() {\n        "+o+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function ri(t,e,n){var r=t.indexOf(e);return t.map((function(t,e){return e===r?t+" - "+n:t})).join()}var oi=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ai=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a="channelsLast"===t.dataFormat,i=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n\n              if ("+a+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ii=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.padInfo.front,a=t.padInfo.top,i=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+o+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+a+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+i+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},si=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+o+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ui=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a=t.outChannels/t.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+a+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ci=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=e-1-t.padInfo.top,i=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},li=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,a=t.padInfo.left,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,d=4*Math.floor(t.inChannels/4),f=t.inChannels%4,p="channelsLast"===t.dataFormat,v=p?1:2,m=p?2:3,g=p?3:1,y="",x="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",x="result = activation(result);");var b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+g+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+v+"], coords["+m+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+d+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+p+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===f)+") {\n\n              if ("+p+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+d+") *\n                    getW(wR, wC, "+d+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+d+", xR, xC) *\n                    getW(wR, wC, "+d+", d2);\n              }\n\n            } else if ("+(2===f)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+d+", d2),\n                getW(wR, wC, "+d+" + 1, d2)\n              );\n\n              if ("+p+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+d+"),\n                  getX(batch, xR, xC, "+d+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+d+", xR, xC),\n                  getX(batch, "+d+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===f)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+d+", d2),\n                getW(wR, wC, "+d+" + 1, d2),\n                getW(wR, wC, "+d+" + 2, d2)\n              );\n\n              if ("+p+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+d+"),\n                  getX(batch, xR, xC, "+d+" + 1),\n                  getX(batch, xR, xC, "+d+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+d+", xR, xC),\n                  getX(batch, "+d+" + 1, xR, xC),\n                  getX(batch, "+d+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+b+"\n        "+x+"\n        setOutput(result);\n      }\n    "},hi=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,h=t.filterHeight,d=t.filterWidth,f=4*Math.floor(t.inChannels/4),p=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+o+", "+a+", "+i+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+h+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+d+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===p)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+f+") *\n                  getW(wF, wR, wC, "+f+", d2);\n              } else if ("+(2===p)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===p)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1),\n                  getX(batch, xF, xR, xC, "+f+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2),\n                  getW(wF, wR, wC, "+f+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},di=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,d=t.filterHeight,f=t.filterWidth,p=t.outChannels/t.inChannels,v="",m="";n&&(v=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",m="result = activation(result);");var g=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+v+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+p+";\n        int q = d2 - d1 * "+p+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+d+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+o+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+h+";\n\n            if (xC < 0 || xC >= "+a+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+g+"\n        "+m+"\n        setOutput(result);\n      }\n    "},fi=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,d=t.filterHeight,f=t.filterWidth,p=f,v="int xR; int xC; int xCOffset;",m=0;m<d;m++)for(var g=0;g<f;g++)v+="\n          vec4 xTexelR"+m+"C"+2*g+" = vec4(0.);\n          vec4 wR"+m+"C"+g+" = vec4(0.);\n          vec4 xR"+m+"C"+g+" = vec4(0.);";for(m=0;m<d;m++)for(var x=0;x<p;x++){if(v+="\n          xR = xRCorner + "+m*l+";\n          xC = xCCorner + "+(g=2*x)*h+";\n        ",1===c){if(g<f&&(v+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+m+"C"+g+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+m+"C"+g+" = vec4(previous.zw, xTexelR"+m+"C"+g+".xy);\n                } else {\n                  xR"+m+"C"+g+" = vec4(0, 0, xTexelR"+m+"C"+g+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+o+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = xTexelR"+m+"C"+g+";\n              ",g+1<f)){var b=s%2==0?y(h):h;h%2==0&&s%2==1||h%2!=0&&s%2!=1?(v+="\n                  xCOffset = xC + "+s%2+" + "+b+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",h>1&&(v+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+o+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+m+"C"+g+" = vec4(0.);\n                    }\n                  "),v+="\n                  xR"+m+"C"+(g+1)+" = vec4(\n                    xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".xy);\n                "):v+="\n                  xCOffset = xC + "+b+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+m+"C"+(g+1)+" = xTexelR"+m+"C"+(g+2)+";\n                "}}else g<f&&(v+="\n              if(xR >= 0 && xR < "+o+") {\n            ",s%2==1?(v+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+m+"C"+(g+2)+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = vec4(\n                  xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".zw);\n              ",g+1<f&&(v+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+m+"C"+(g+1)+" = vec4(xTexelR"+m+"C"+(g+2)+".xy, final.xy);\n                ")):(v+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+(g+2)+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = vec4(\n                  xTexelR"+m+"C"+g+".xy, xTexelR"+m+"C"+(g+2)+".xy);\n              ",g+1<f&&(v+="\n                  xR"+m+"C"+(g+1)+" = vec4(\n                    xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".zw);\n                ")),v+="}");g<f&&(v+="\n            vec4 wTexelR"+m+"C"+g+" = getW("+m+", "+g+", d1, q);\n            wR"+m+"C"+g+" = vec4(wTexelR"+m+"C"+g+".xz, wTexelR"+m+"C"+g+".xz);\n          ",g+1<f&&(v+="\n              vec4 wTexelR"+m+"C"+(g+1)+" = getW("+m+", "+(g+1)+", d1, q);\n              wR"+m+"C"+(g+1)+" =\n                vec4(wTexelR"+m+"C"+(g+1)+".xz, wTexelR"+m+"C"+(g+1)+".xz);"))}for(m=0;m<d;m++)for(g=0;g<f;g++)v+="dotProd += xR"+m+"C"+g+" * wR"+m+"C"+g+";";var w="",C="";n&&(w=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",C="result = activation(result);");var E=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+w+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+v+"\n\n        vec4 result = dotProd;\n        "+E+"\n        "+C+"\n        setOutput(result);\n      }\n    "},pi=function(t,e,n,r,o){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=t[0],i=t[1],s=t[2],u=t[3],c=e[0],l=n[0],h=n[1];this.outputShape=[c,l,h,u];var d="bilinear"===r?1:0,f=[i-1+".0",s-1+".0"],p=f[0],v=f[1],m=l>1?[""+(i-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],g=m[0],y=m[1],x=m[2],b=h>1?[""+(s-1)/(h-1),"(x2-x1) * width_ratio","x1*"+v+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+v],w=b[0],C=b[1],E=b[2];this.userCode="\n      const float height_ratio = float("+g+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+C+";\n\n        float in_y = "+x+";\n        if( in_y < 0.0 || in_y > "+p+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+v+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+d+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},vi=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,o=t[t.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+o+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+Fa(r)+" coords = getOutputCoords();\n        int end = "+mi(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+o+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+a+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+mi(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function mi(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var gi=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Wt.DENSE;var e=jt(t),n=xa();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ba(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},yi=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Wt.DENSE;var e=jt(t),n=xa();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ba(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},xi=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),bi=function(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},wi=function(t){this.variableNames=["A"],this.outTexUsage=Ut.DOWNLOAD;var e=xa();this.outputShape=t,this.userCode="\n      "+Ca+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},Ci=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Ut.DOWNLOAD;var e=xa();this.outputShape=t,this.userCode="\n      "+Ca+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+e.output+" = encode_float(x);\n      }\n    "},Ei=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=xa(),o=e[0],a=e[1];this.outputShape=t;var i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode="\n      "+wa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+i+", 0., 0., 0.);\n      }\n    "},Ri=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=xa(),o=e[0],a=e[1];this.outputShape=t;var i="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;i+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+t[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+wa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        "+i+"\n\n        "+r.output+" = "+s+";\n      }\n    "},Ii="return real * expR - imag * expI;",ki="return real * expI + imag * expR;",Si=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var o=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+o+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},Ai=function(){function t(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.valueLoc&&(e.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(e.valueLoc,t)}},t}(),Ni=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var o=Fa(this.rank),a=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],a=0;a<t.length;a++)a===e?o.push("int(getIndices("+r[a]+"))"):o.push(""+r[a]);return o.join()}(t,n);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var Ti=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=Fa(e.length),o=Fa(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+o+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+a+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function Di(t,e){var n=xa();return ne(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function Fi(t,e){return le(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function _i(t,e){return he(t,e,new Uint16Array([0,1,2,2,1,3]))}function Oi(t,e,n,r,o,a,i){fe(n,r);var s=de(t,e),u=t.TEXTURE_2D;return $t(t,e,(function(){return t.bindTexture(u,s)})),$t(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)})),$t(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)})),$t(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)})),$t(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)})),$t(t,e,(function(){return t.texImage2D(u,0,o,n,r,0,a,i,null)})),$t(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)})),s}function Mi(t,e,n,r,o){var a=Kt(n,r);return Oi(t,e,a[0],a[1],o.internalFormatFloat,o.textureFormatFloat,t.FLOAT)}function Bi(t,e,n,r,o){var a=Kt(n,r);return Oi(t,e,a[0],a[1],o.internalFormatHalfFloat,o.textureFormatFloat,o.textureTypeHalfFloat)}function Pi(t,e,n,r,o){var a=Kt(n,r);return Oi(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function Li(t,e,n,r,o){var a=Xt(n,r);return Oi(t,e,a[0],a[1],o.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function Wi(t,e,n,r,o){var a=Xt(n,r);return Oi(t,e,a[0],a[1],o.internalFormatPackedHalfFloat,t.RGBA,o.textureTypeHalfFloat)}function Ui(t,e,n,r){return $t(t,e,(function(){return t.bindBuffer(t.ARRAY_BUFFER,r)})),ve(t,e,n,"clipSpacePos",r,3,20,0)&&ve(t,e,n,"uv",r,2,20,12)}function zi(t,e,n,r,o,a,i){var s,u,c;$t(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),a instanceof Uint8Array?(s=new Uint8Array(r*o*4),u=t.UNSIGNED_BYTE,c=t.RGBA):(s=new Float32Array(r*o*4),u=t.FLOAT,c=i.internalFormatPackedFloat),s.set(a),$t(t,e,(function(){return 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r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,o),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),o}function qi(t,e,n,r,o){var a=Kt(n,r),i=a[0],s=a[1],u=new Uint8Array(n*r*4);return $t(t,e,(function(){return t.readPixels(0,0,i,s,o.downloadTextureFormat,t.UNSIGNED_BYTE,u)})),new Float32Array(u.buffer)}function Ki(t,e,n,r,o,a,i,s){var u=t,c=new Float32Array(function(t,e){var n=Xt(t,e);return n[0]*n[1]*4}(a,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function ji(t,e,n,r){var o=new Float32Array(n*r*4);return $t(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,o)})),o}var Xi=Object.freeze({createVertexShader:Di,createVertexBuffer:Fi,createIndexBuffer:_i,createFloat32MatrixTexture:Mi,createFloat16MatrixTexture:Bi,createUnsignedBytesMatrixTexture:Pi,createPackedMatrixTexture:Li,createFloat16PackedMatrixTexture:Wi,bindVertexProgramAttributeStreams:Ui,uploadDenseMatrixToTexture:zi,uploadPixelDataToTexture:Vi,createBufferFromOutputTexture:Gi,downloadFloat32MatrixFromBuffer:Hi,downloadByteEncodedFloatMatrixFromOutputTexture:qi,downloadPackedMatrixFromBuffer:Ki,downloadMatrixFromPackedOutputTexture:ji}),Yi=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=s().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,Ht(e,t)):this.gl=qt(e);var n="WEBGL_color_buffer_float";if(1===s().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=ee(this.gl,this.debug,"OES_texture_float"),Me(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=ee(this.gl,this.debug,"OES_texture_half_float");else if(s().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Me(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=ee(this.gl,this.debug,"EXT_color_buffer_half_float");else if(s().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Me(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Me(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does 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this.throwIfDisposed(),Pi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),Vi(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),zi(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Wi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Li(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(we(this.gl,this.debug,this.framebuffer),this.outputTexture=null),$t(this.gl,this.debug,(function(){return e.gl.deleteTexture(t)}))},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return qi(r.gl,r.debug,e,n,r.textureConfig)}))},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,o,a){return Ki(this.gl,t,0,0,0,o,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return Hi(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=Gi(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(s().getBool("WEBGL_FENCE_API_ENABLED")){var o=t,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=o.clientWaitSync(a,0,0);return t===o.ALREADY_SIGNALED||t===o.CONDITION_SATISFIED},e=a}else s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return ji(r.gl,r.debug,e,n)}))},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=re(e,this.debug,t),r=Di(e,this.debug),o=se(e,this.debug);return $t(e,this.debug,(function(){return e.attachShader(o,r)})),$t(e,this.debug,(function(){return e.attachShader(o,n)})),ue(e,this.debug,o),this.debug&&ce(e,this.debug,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=Ui(e,this.debug,this.program,this.vertexBuffer)),o},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&$t(this.gl,this.debug,(function(){return e.gl.deleteProgram(t)}))},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&ce(this.gl,this.debug,this.program),$t(this.gl,this.debug,(function(){return e.gl.useProgram(t)}))},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?ge(this.gl,this.debug,t,e):ye(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),$t(this.gl,this.debug,(function(){return n.gl.getAttribLocation(t,e)}))},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),xe(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=Xt(e,n),o=r[0],a=r[1];this.setOutputMatrixTextureDriver(t,o,a)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&ce(this.gl,this.debug,this.program),Ce(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),$t(t,this.debug,(function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)}))},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),$t(this.gl,this.debug,(function(){return t.gl.finish()}))},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=ee(this.gl,this.debug,2===s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),o=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,o),o},t.prototype.endQuery=function(){if(2!==s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return r(this,void 0,void 0,(function(){var e=this;return o(this,(function(n){switch(n.label){case 0:return[4,T((function(){return e.disposed||e.isQueryAvailable(t,s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}))];case 1:return n.sent(),[2,this.getQueryTime(t,s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}}))}))},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),o=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise((function(n){e.addItemToPoll((function(){return t.isFencePassed()}),(function(){return n()}))}))},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length;++e){if(!t[e]())break}return e-1}(this.itemsToPoll.map((function(t){return t.isDoneFn}))),e=0;e<=t;++e){(0,this.itemsToPoll[e].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||T((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),be(this.gl,this.debug,t,this.framebuffer),this.debug&&Ce(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(be(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&Ce(this.gl)):we(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;be(r,this.debug,t,this.framebuffer),this.debug&&Ce(r),this.outputTexture=t,$t(r,this.debug,(function(){return r.viewport(0,0,e,n)})),$t(r,this.debug,(function(){return r.scissor(0,0,e,n)}))},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var o=this;this.throwIfDisposed(),$t(this.gl,this.debug,(function(){return o.gl.scissor(t,e,n,r)}))},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function $i(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach((function(t,n){var r=t.logicalShape,o=e[n],a=o.shape;if(!I(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!t.isUniform||!o.isUniform){var i=t.texShape,s=o.isUniform?null:o.texData.texShape;if(!I(i,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+i+" and "+s+" must match")}}))}var Qi=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,o=n.inChannels,a=n.strideWidth,i=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,h=n.dataFormat,d=s.left,f=s.top,p=o*r,v=xa(),m="channelsLast"===h,g=m?0:1,y=m?1:2,x="",b=0;b<=1;b++)for(var w=0;w<=1;w++)x+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+b+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+i+" - "+f+";\n            d0 = offsetY + "+l+" * (pos / "+p+");\n\n            if(d0 < "+e[g]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+d+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+p+".) / "+o+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+o+".));\n\n                if ("+m+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+x+"\n\n        "+v.output+" = result;\n      }\n    "},Ji=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[];var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+i+"; j <= "+i+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+a+";\n        setOutput(val);\n      }\n    "},Zi=function(t,e,n,r,o){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=o,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+o+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+o+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},ts=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+i+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+i+"; j <= "+i+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},es=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,o=t.effectiveFilterHeight,a=t.effectiveFilterWidth,i=o-1-t.padInfo.top,s=a-1-t.padInfo.left,u=o*a-1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+o+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+a+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ns=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.dilationDepth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=s-1-t.padInfo.front,h=u-1-t.padInfo.top,d=c-1-t.padInfo.left,f=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+h+", "+d+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+o+") {\n          float dyD = float(dyDCorner + wD) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+i+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+f+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},rs=function(t,e,n,r,o,a,i){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===a&&(a=null),void 0===i&&(i=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",h=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],d=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",p="";a&&(f=i?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",p="result = activation(result);");var v=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+f+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+h[0]+" * "+d[0]+");\n          result += ("+h[1]+" * "+d[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+v+"\n\n        "+p+"\n\n        setOutput(result);\n      }\n    "},os=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(e-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),as=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},is=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=ya("rc",e),r=Fa(e),o=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",o=t-2;o<t;o++)r+=n[o]+" >= "+e[o],o<t-1&&(r+="||");return r}(e,t,n),a=function(t,e,n,r){if(1===t)return"";var o=r.slice(-2);return"\n    int r = "+o[0]+";\n    int c = "+o[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),i=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var o=0;o<=1;o++){for(var a=(0===r?"r":"rp1")+", "+(0===o?"c":"cp1"),i=2;i<t;i++)a=e[e.length-1-i]+","+a;n.push(a)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+o+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+i+"));\n          }\n        }\n      "}};var ss=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));var r=t.length,o=Fa(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+o+" start = "+o+"("+a+");\n      "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+o+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+i+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},us=function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));for(var r=t.length,o=Fa(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=ya("rc",r),u=ya("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",h=[o+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+c+") {"],d=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",p=0,v=1===r?2:4;p<v;p++)f+="\n        "+h[p]+"\n        if ("+d+") {\n          result["+p+"] = float("+n+");\n        } else {\n          "+o+" source = rc - start;\n          result["+p+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+o+" start = "+o+"("+a+");\n      const "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},cs=function(t,e,n,r,o){if(void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterHeight,h=t.effectiveFilterWidth,d=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var p="avg"===e,v="((batch  * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",m="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",g="0.0";if(p||(g="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+s+");\n        const ivec2 pads = ivec2("+d+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+l+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+c+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?o?v:m:"wR * "+h+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(y="avgValue / count");var x=4*Math.floor(a/4),b=a%4,w="\n      if ("+p+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+d+", "+f+");\n      const float initializationValue = "+g+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+l+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+x+"; wC += 4) {\n            int xC = xCCorner + wC * "+c+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              getValue(batch, xR, xC + 3 * "+c+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+x+";\n          if ("+(1===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},ls=function(t,e,n,r,o){if(void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,i=t.strideDepth,s=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,h=t.dilationWidth,d=t.effectiveFilterDepth,f=t.effectiveFilterHeight,p=t.effectiveFilterWidth,v=t.padInfo.front,m=t.padInfo.top,g=t.padInfo.left;this.outputShape=t.outShape;var y="avg"===e,x="0.0";if(y||(x="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+i+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+v+", "+m+", "+g+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+d+";\n              wD += "+c+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+f+";\n                wR += "+l+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+p+";\n                  wC += "+h+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?o?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+f+" * "+p+" +\n                      wR * "+p+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var b=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(b="avgValue / count");var w=4*Math.floor(a/4),C=a%4,E="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+i+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+v+", "+m+", "+g+");\n      const float initializationValue = "+x+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+x+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+d+";\n            wD += "+c+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+";\n            wR += "+l+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+h+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+h+", ch)\n              );\n\n              "+E+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+E+"\n            } else if ("+(2===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+E+"\n            } else if ("+(3===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                initializationValue\n              );\n\n              "+E+"\n            }\n          }\n          setOutput("+b+");\n        }\n      }\n    "}},hs=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=Math.ceil(o/n);this.outputShape=[r,a];var i="0.0",s="";"prod"===e?i="1.0":"min"===e?(i="1.0 / 1e-20",s="min"):"max"===e&&(i="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,h="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",d="vec4";"all"===e?(i="1.0",h="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",d="bvec4"):"any"===e&&(i="0.0",h="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",d="bvec4");var f="";o%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+i+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+i+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+h+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(2===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(3===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+h+"\n        }\n        setOutput("+u+");\n      }\n    "},ds=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var o="thisRC = rc;";r%2==1&&(o+="thisRC.z += 1;"),r>1&&(o+="thisRC.y += 1;"),n+="\n        "+o+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+ba(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+wa(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "};var fs=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],d=c[1]/l[1],f=1/h,p=1/d,v=2*Math.ceil(f)+2,m=2*Math.ceil(p)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+h+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+m+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(o-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},ps=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},vs=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+i+".0,\n                                     "+i+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},ms=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],d=c[1]/l[1],f=1/h,p=1/d,v=2*Math.ceil(f)+2,m=2*Math.ceil(p)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+h+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+m+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+o+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},gs=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},ys=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map((function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),o=Fa(n);this.userCode="\n      void main() {\n        "+o+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},xs=function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=ya("rc",n),o=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],i=Fa(n);function s(n){var r=t.map((function(r,o){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(o,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+o+"){\n              result.g = getChannel(getX("+t[0]+" - (rc  + 1) - 1),\n                "+t[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+i+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(t){return s(t)}(r.slice())+";\n          if("+o+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+o+") {\n              result.a = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},bs=function(t,e,n,r,o,a,i){void 0===i&&(i=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=Fa(o.length),u=Fa(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",h="";1===r?h="i":2===r&&(h="i, coords[1]");var d="getUpdates("+h+")",f=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+o+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+d+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},ws=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=t.numSegments,i=a*Math.ceil(o/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";o%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      ");var h="";o%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+h+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+c+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+c+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+c+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "},Cs=function(t,e,n){var r,o;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)o="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],s=[],u=0;u<e.length;u++)s.push(""+a[u]),u<t&&i.push(""+a[u]);r=i.join(),o=s.join()}var c=Fa(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+o+"));\n        } else {\n          setOutput(getB("+o+"));\n        }\n      }\n    "},Es=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=Fa(this.rank),r="uniform int start["+this.rank+"];",o=function(t){if(1===t)return"sourceLoc";if(t<=6)return Rs.slice(0,t).map((function(t){return"sourceLoc."+t})).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map((function(t,e){return"sourceLoc."+Rs[e]+" = start["+e+"] + coords."+Rs[e]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+o+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),Rs=["x","y","z","w","u","v"];var Is=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=Fa(this.rank),n=ya("coords",this.rank),r=ya("sourceLoc",this.rank),o=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+o+")",i="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map((function(t,e){return"start["+e+"]"})).join()+");":t.map((function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"})).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+i+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),ks=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,o=Fa(n.length),a=Fa(n.length),i="";if(1===r)i="coords * strides + begin";else{var s=0;i=n.map((function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"})).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+t+");\n      "+o+" strides = "+o+"("+e+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+i+"));\n      }\n    "},Ss=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,o=As(e,n),a=Ns(t,o,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var i=this.freeTextures[a].shift();return this.usedTextures[a].push(i),i}return this.numUsedTextures++,this.log(),o===zt.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===zt.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===zt.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===zt.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===zt.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var o=Ns(e,As(n,r),r);o in this.freeTextures||(this.freeTextures[o]=[]),this.freeTextures[o].push(t),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[o],i=a.indexOf(t);if(i<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(i,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));for(var e in this.usedTextures)this.usedTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function As(t,e){if(t===Ut.UPLOAD)return zt.PACKED_2X2_FLOAT32;if(t===Ut.RENDER||null==t)return function(t){return s().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?zt.PACKED_2X2_FLOAT32:zt.UNPACKED_FLOAT32:t?zt.PACKED_2X2_FLOAT16:zt.UNPACKED_FLOAT16}(e);if(t===Ut.DOWNLOAD||t===Ut.PIXELS)return zt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function Ns(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var Ts=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var o=Fa(this.rank),a=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],o=0;o<t.length;o++)r.push("imod("+n[o]+", "+t[o]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var Ds=1.7580993408473768,Fs=1.0507009873554805,_s=function(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        "+e+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Os="if (isnan(x)) return x;",Ms="return x;",Bs="return abs(x);",Ps=Os+"\n  return (x < 0.0) ? 0.0 : x;\n",Ls=Os+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",Ws="return (x >= 0.0) ? x : (exp(x) - 1.0);",Us="\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = "+Ds+";\n  float scale = "+Fs+";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n";var zs="return -x;",Vs="return ceil(x);",Gs="return floor(x);",Hs="return exp(x);",qs="return exp(x) - 1.0;",Ks=Os+"\n  return sin(x);\n",js=Os+"\n  return cos(x);\n",Xs=Os+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n",Ys=Os+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n",$s=Os+"\n  return atan(x);\n",Qs=Os+"return log(x + sqrt(x * x + 1.0));",Js=Os+"\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));",Zs=Os+"\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;",tu="return x;",eu="return x;",nu="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",ru="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",ou="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",au=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},iu=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=ya("rc",e),r=Fa(e),o=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),a=n.slice(-2),i=e<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+o+");\n\n        setOutput(getChannel(packedInput, "+i+"));\n      }\n    "},su={};function uu(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?eu:Ms;if("relu"===t)return e?nu:Ps;if("elu"===t)return e?ou:Ws;if("relu6"===t)return e?ru:Ls;if("prelu"===t)return e?$a:ja;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var cu=600;var lu=function(t){function e(e){var n,r=t.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!s().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var o=qt(s().getNumber("WEBGL_VERSION"));r.binaryCache=(n=s().getNumber("WEBGL_VERSION"))in su?su[n]:(su[n]={},su[n]),r.gpgpu=new Yi(o),r.canvas=o.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new Ss(r.gpgpu),r.numMBBeforeWarning=null==s().global.screen?1024:s().global.screen.height*s().global.screen.width*window.devicePixelRatio*cu/1024/1024,r.texData=new _o(r,Bt),r}return n(e,t),e.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},e.prototype.write=function(t,e,n){if(s().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:Ut.UPLOAD}),r},e.prototype.move=function(t,e,n,r){if(s().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:Ut.UPLOAD})},e.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,o=e.complexTensors,a=e.slice,i=e.shape,s=e.isPacked;if(null!=a){var u=void 0;u=s?new au(i,tu):new _s(i,tu);var c=this.runWebGLProgram(u,[{dataId:t,shape:i,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var h,d,f=null!=this.activeTimers;(f&&(h=Z()),"complex64"===r)?d=Jo(o.real.dataSync(),o.imag.dataSync()):d=this.getValuesFromTexture(t);return f&&(this.downloadWaitMs+=Z()-h),this.convertAndCacheOnCPU(t,d)},e.prototype.read=function(t){return r(this,void 0,void 0,(function(){var e,n,r,a,i,u,c,l,h,d,f,p,v,m,g,y,x,b,w,C,E,I;return o(this,(function(o){switch(o.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise((function(t){return e.push(t)}))];if(n=this.texData.get(t),r=n.values,a=n.shape,i=n.slice,u=n.dtype,c=n.complexTensors,l=n.isPacked,null!=i)return h=void 0,h=l?new au(a,tu):new _s(a,tu),d=this.runWebGLProgram(h,[{dataId:t,shape:a,dtype:u}],u),f=this.read(d.dataId),this.disposeData(d.dataId),[2,f];if(null!=r)return[2,this.convertAndCacheOnCPU(t)];if(!s().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===s().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==u&&s().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),m=this.texData.get(v.dataId),p=(I=this.gpgpu).createBufferFromTexture.apply(I,[m.texture].concat(jt(a)))),this.pendingRead.set(t,[]),"complex64"===u?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:o.sent(),o.label=2;case 2:return"complex64"!==u?[3,4]:[4,Promise.all([c.real.data(),c.imag.data()])];case 3:return y=o.sent(),x=y[0],b=y[1],g=Jo(x,b),[3,5];case 4:null==p?g=this.getValuesFromTexture(t):(w=R(a),g=this.gpgpu.downloadFloat32MatrixFromBuffer(p,w)),o.label=5;case 5:return null!=v&&this.disposeData(v.dataId),C=this.convertAndCacheOnCPU(t,g),E=this.pendingRead.get(t),this.pendingRead.delete(t),E.forEach((function(t){return t(C)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,C]}}))}))},e.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!Zt(n)){if(s().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},e.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.isPacked,i=R(r);if(s().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(t),c=this.texData.get(u.dataId),l=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[c.texture].concat(jt(r))).subarray(0,i);return this.disposeData(u.dataId),l}var h=s().getBool("WEBGL_PACK")&&!0===a,d=h?Ae(r):r,f=h?new Ci(d):new wi(d),p=this.runWebGLProgram(f,[{shape:d,dtype:o,dataId:t}],"float32"),v=this.texData.get(p.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(v.texture,v.texShape[0],v.texShape[1]).subarray(0,i);return this.disposeData(p.dataId),m},e.prototype.time=function(t){return r(this,void 0,void 0,(function(){var e,n,r,a,i,u,c;return o(this,(function(o){switch(o.label){case 0:return e=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,t(),a=E(this.activeTimers.map((function(t){return t.query}))).filter((function(t){return null!=t})),i=E(this.activeTimers.map((function(t){return t.name}))).filter((function(t){return null!=t})),this.activeTimers=e,r&&(this.programTimersStack=null),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(a)]:[3,2];case 1:return c=o.sent(),u.kernelMs=x(c),u.getExtraProfileInfo=function(){return c.map((function(t,e){return{name:i[e],ms:t}})).map((function(t){return t.name+": "+t.ms})).join(", ")},[3,3];case 2:u.kernelMs={error:"WebGL query timers are not supported in this environment."},o.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}}))}))},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Z(),endMs:null}},e.prototype.endTimer=function(t){return s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=Z(),t)},e.prototype.getQueryTime=function(t){return r(this,void 0,void 0,(function(){var e;return o(this,(function(n){return s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]}))}))},e.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}}},e.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,o=e.texShape,a=e.usage,i=e.isPacked,s=e.slice,u=s&&s.origDataId||t,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(o,r),this.textureManager.releaseTexture(n,o,a,i)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},e.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},e.prototype.getDataInfo=function(t){return this.texData.get(t)},e.prototype.getCPUBackend=function(){return s().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Bt.findBackend("cpu")),this.cpuBackend):null},e.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every((function(t){return null==n.texData.get(t.dataId).texture&&R(t.shape)<e}))},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Bt.keep(t.clone()),imag:Bt.keep(e.clone())},n},e.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===R(n))return fn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,o=Ro(t.shape,e,n);if(r||!o){var a=s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Is(n):new Es(n),i=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,i)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},e.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),o=this.makeOutput(n,t.dtype),a=this.texData.get(o.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var i=Io(e,t.strides);r.slice&&(i+=r.slice.flatOffset),a.slice={flatOffset:i,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),o},e.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var o=wo(e,n,r);if(o.some((function(t){return 0===t})))return fn([],o);var a=new ks(e,r,o);return this.compileAndRun(a,[t])},e.prototype.reverse=function(t,e){var n=s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new xs(t.shape,e):new ys(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map((function(t){return hn(t)})),r=t.map((function(t){return dn(t)}));return ln(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>s().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var o=Math.floor(t.length/2),a=this.concat(t.slice(0,o),e),i=this.concat(t.slice(o),e);return this.concat([a,i],e)}if(s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var u=new ni(t.map((function(t){return t.shape})),e);return this.compileAndRun(u,t)}var c=un(t.map((function(t){return t.shape})),e),l=t.map((function(t){return t.as2D(-1,R(t.shape.slice(e)))})),h=new ei(l.map((function(t){return t.shape})));return this.compileAndRun(h,l).reshape(c)},e.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,zs,t.dtype);var e=new _s(t.shape,zs);return this.compileAndRun(e,[t])},e.prototype.batchMatMul=function(t,e,n,r){var o=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],i=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===o||1===a)&&i>1e3){n&&(t=Fo(t,[0,2,1])),r&&(e=Fo(e,[0,2,1]));var u=1===a?t:t.as3D(s,i,1),c=1===a?2:1,l=1===a?e.as3D(s,1,i):e;return this.multiply(u,l).sum(c,!0)}var h=St(t.dtype,e.dtype),d=new rs(t.shape,[s,o,a],n,r);return this.compileAndRun(d,[t,e],h)},e.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],c=o?n.shape[1]:n.shape[2],l=e.shape[0],h=St(e.dtype,n.dtype),d=null!=a,f=null!=s,p=i?uu(i,!0):null,v=new rs(e.shape,[l,u,c],r,o,d,p,f),m=[e,n];return a&&m.push(a),s&&m.push(s),this.compileAndRun(v,m,h)},e.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),o=new Va(Ua,t.shape,e.shape),a=new Va(za,t.shape,e.shape),i=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],u=this.compileAndRun(o,i),c=this.compileAndRun(a,i),l=this.complex(u,c);return u.dispose(),c.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,qa,t.dtype);var h=new Xa(qa,t.shape,e.shape);return this.compileAndRun(h,[t,e],t.dtype)},e.prototype.batchNormalization=function(t,e,n,r,o,a){var i=[t,e,n],u=null;null!=a&&(u=a.shape,i.push(a));var c=null;if(null!=o&&(c=o.shape,i.push(o)),s().getBool("WEBGL_PACK_NORMALIZATION")){var l=new Wa(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(l,i)}var h=new La(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(h,i)},e.prototype.localResponseNormalization4D=function(t,e,n,r,o){var a=s().getBool("WEBGL_PACK_NORMALIZATION")?new ts(t.shape,e,n,r,o):new Ji(t.shape,e,n,r,o);return this.compileAndRun(a,[t])},e.prototype.LRNGrad=function(t,e,n,r,o,a,i){var s=new Zi(e.shape,r,o,a,i);return this.compileAndRun(s,[e,n,t])},e.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map((function(t){return nt(t)}));return ha(Bn(t.shape,t.dtype,n),e)}var r=new Ts(t.shape,e);return this.compileAndRun(r,[t])},e.prototype.pad=function(t,e,n){var r=s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new us(t.shape,e,n):new ss(t.shape,e,n);return this.compileAndRun(r,[t])},e.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new Ni(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},e.prototype.batchToSpaceND=function(t,e,n){b(t.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=Yn(t.shape,e,r),a=$n(o.length,e.length),i=Qn(t.shape,e,r),s=Jn(n,e.length),u=Zn(i,n,e.length);return Fo(t.reshape(o),a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){b(t.rank<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=Yn(i.shape,e,r,!1),u=$n(s.length,e.length,!1),c=Qn(i.shape,e,r,!1);return Fo(i.reshape(s),u).reshape(c)},e.prototype.reduce=function(t,e,n){var r=t.shape[0],o=t.shape[1],a=po(o),i=new hs({windowSize:a,inSize:o,batchSize:r},e),s=this.compileAndRun(i,[t],n);return 1===s.shape[1]?s:this.reduce(s,e,n)},e.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],o=t.shape[1];null!=n&&(r=n.shape[0],o=n.shape[1]);var a=po(o),i=new ma({windowSize:a,inSize:o,batchSize:r},e,null==n),s=[t];null!=n&&s.push(n);var u=this.compileAndRun(i,s,"int32");return 1===u.shape[1]?u:this.argReduce(t,e,u)},e.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,o=po(r[r.length-1]),a=new Ma(r,o,e,null==n),i=null==n?[t]:[t,n],s=this.compileAndRun(a,i,"int32");return s.rank===t.rank?this.argReducePacked(t,e,s):s},e.prototype.sum=function(t,e){nn("sum",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o),i=At(t.dtype);return this.reduce(a,"sum",i).reshape(r)},e.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o),i=At(t.dtype);return this.reduce(a,"prod",i).reshape(r)},e.prototype.unsortedSegmentSum=function(t,e,n){var r=0,o=rn([r],t.rank),a=t;null!=o&&(a=Fo(t,o),r=an(1,t.rank)[0]);var i=function(t,e,n){for(var r=[],o=t.length,a=0;a<o;a++)a!==e?r.push(t[a]):r.push(n);return r}(a.shape,r,n),s=R([a.shape[r]]),u=a.as2D(-1,s),c=At(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(i);return null!=o&&(l=Fo(l,on(o))),l},e.prototype.segOpCompute=function(t,e,n,r,o){var a=t.shape[0],i=t.shape[1],s=function(t,e){var n,r=!1;for(t<=fo?(n=t,r=!0):n=j(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=j(t,n+1);return n}(i,o),u=new ws({windowSize:s,inSize:i,batchSize:a,numSegments:o},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===o?c:(n=Sn(0,o).tile([i/s]),this.segOpCompute(c,e,n,r,o))},e.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(nn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!s().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var o=tn(t.shape,r),a=o[0],i=R(o[1]),u=t.as2D(-1,i);return this.argReduce(u,n).reshape(a)}return this.argReducePacked(t,n)},e.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},e.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},e.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var o=new vi(t.shape,n,r);return this.compileAndRun(o,[t])},e.prototype.equal=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Xa("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.notEqual=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Xa("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Xa("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.lessEqual=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Xa("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Xa("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greaterEqual=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Xa("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalNot=function(t){var e=new _s(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},e.prototype.logicalAnd=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new Xa("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalOr=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new Xa("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.select=function(t,e,n){var r=new Cs(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],St(e.dtype,n.dtype))},e.prototype.where=function(t){je("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return fa(t.shape,e)},e.prototype.topk=function(t,e,n){return da(t.dataSync(),t.shape,t.dtype,e)},e.prototype.min=function(t,e){nn("min",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"min",a.dtype).reshape(r)},e.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.mod=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);nn("max",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"max",a.dtype).reshape(r)},e.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.all=function(t,e){nn("all",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"all",a.dtype).reshape(r)},e.prototype.any=function(t,e){nn("any",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"any",a.dtype).reshape(r)},e.prototype.floorDiv=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new Xa("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",t.shape,e.shape);return this.compileAndRun(n,[t,e],"int32")},e.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Ga);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=St(t.dtype,e.dtype);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Ga,n);var r=new Xa(Ga,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.packedUnaryOp=function(t,e,n){var r=new au(t.shape,e);return this.compileAndRun(r,[t],n)},e.prototype.packedBinaryOp=function(t,e,n,r,o){void 0===o&&(o=!1);var a=new Qa(n,t.shape,e.shape,o);return this.compileAndRun(a,[t,e],r)},e.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,o=this.texData.get(t.dataId),a=this.texData.get(e.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map((function(o){var a=o[0],i=o[1],s=r.makeComplexComponentTensorInfo(t,a),u=r.makeComplexComponentTensorInfo(e,i),c=new Xa(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],St(a.dtype,i.dtype))})),s=i[0],u=i[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},e.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},e.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>s().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var o=t.map((function(t){return t.dtype})).reduce((function(t,e){return St(t,e)})),a=t.map((function(t){return t.shape})),i=s().getBool("WEBGL_PACK")?new va(t[0].shape,a):new pa(t[0].shape,a);return this.compileAndRun(i,t,o)},e.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Ha);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=St(t.dtype,e.dtype);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Ha,t.dtype);var r=new Xa(Ha,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.pow=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=St(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},e.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Vs,t.dtype);var e=new _s(t.shape,Vs);return this.compileAndRun(e,[t])},e.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Gs,t.dtype);var e=new _s(t.shape,Gs);return this.compileAndRun(e,[t])},e.prototype.sign=function(t){var e=new _s(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},e.prototype.isNaN=function(t){var e=new _s(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isInf=function(t){var e=new _s(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isFinite=function(t){var e=new _s(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.round=function(t){var e=new _s(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},e.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Hs,t.dtype);var e=new _s(t.shape,Hs);return this.compileAndRun(e,[t])},e.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,qs,t.dtype);var e=new _s(t.shape,qs);return this.compileAndRun(e,[t])},e.prototype.softmax=function(t,e){var n=F([e],t.shape),r=this.max(t,n),o=en(r.shape,n),a=this.subtract(t,r.reshape(o)),i=this.exp(a),s=this.sum(i,n).reshape(o);return co(i,s)},e.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",t.dtype);var e=new _s(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},e.prototype.log1p=function(t){var e=new _s(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},e.prototype.sqrt=function(t){var e=new _s(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},e.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new _s(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},e.prototype.reciprocal=function(t){var e=new _s(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},e.prototype.relu=function(t){var e;return e=s().getBool("WEBGL_PACK")?new au(t.shape,nu):new _s(t.shape,Ps),this.compileAndRun(e,[t])},e.prototype.relu6=function(t){var e;return e=s().getBool("WEBGL_PACK")?new au(t.shape,ru):new _s(t.shape,Ls),this.compileAndRun(e,[t])},e.prototype.prelu=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa($a,t.shape,e.shape):new Xa(ja,t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.elu=function(t){if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ou,t.dtype);var e=new _s(t.shape,Ws);return this.compileAndRun(e,[t])},e.prototype.eluDer=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new Xa("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.selu=function(t){var e=new _s(t.shape,Us);return this.compileAndRun(e,[t])},e.prototype.int=function(t){var e=new _s(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},e.prototype.clip=function(t,e,n){var r,o=(r=s().getBool("WEBGL_PACK_CLIP")?new Za(t.shape):new Ja(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,o)},e.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Bs,t.dtype);var e=new _s(t.shape,Bs);return this.compileAndRun(e,[t])},e.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new ti(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(t){var e=new _s(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},e.prototype.softplus=function(t){var e=new _s(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},e.prototype.sin=function(t){var e=new _s(t.shape,Ks);return this.compileAndRun(e,[t])},e.prototype.cos=function(t){var e=new _s(t.shape,js);return this.compileAndRun(e,[t])},e.prototype.tan=function(t){var e=new _s(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},e.prototype.asin=function(t){var e=new _s(t.shape,Xs);return this.compileAndRun(e,[t])},e.prototype.acos=function(t){var e=new _s(t.shape,Ys);return this.compileAndRun(e,[t])},e.prototype.atan=function(t){var e=new _s(t.shape,$s);return this.compileAndRun(e,[t])},e.prototype.atan2=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.sinh=function(t){var e=new _s(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.cosh=function(t){var e=new _s(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.tanh=function(t){var e=new _s(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},e.prototype.asinh=function(t){var e=new _s(t.shape,Qs);return this.compileAndRun(e,[t])},e.prototype.acosh=function(t){var e=new _s(t.shape,Js);return this.compileAndRun(e,[t])},e.prototype.atanh=function(t){var e=new _s(t.shape,Zs);return this.compileAndRun(e,[t])},e.prototype.erf=function(t){var e=new _s(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(e,[t])},e.prototype.step=function(t,e){var n=new _s(t.shape,function(t){return void 0===t&&(t=0),Os+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},e.prototype.conv2dByMatMul=function(t,e,n,r,o,a){var i=t.shape,u=this.texData.get(t.dataId),c=n.inChannels,l=i[0]*i[1]*i[2],h=n.outChannels,d="channelsLast"===n.dataFormat,f=(1===l||1===h)&&c>1e3,p=i[2]%2!=0&&!!u.isPacked;if(f||!s().getBool("WEBGL_LAZILY_UNPACK")||!s().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!p){var v=d?i[0]*i[1]*i[2]:i[0]*i[2]*i[3],m=this.reshape(t,[1,v,n.inChannels]),g=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:m,b:g,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),n.outShape)}var y=d?i[0]*i[1]*(i[2]+1):i[0]*i[2]*(i[3]+1),x={dataId:t.dataId,shape:[1,y,n.inChannels],dtype:t.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,b(De(u.shape,x.shape),(function(){return"packed reshape "+u.shape+" to "+x.shape+" isn't free"}));var C=this.reshape(e,[1,n.inChannels,n.outChannels]),E=this.fusedBatchMatMul({a:x,b:C,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),R=this.texData.get(E.dataId);return b(R.isPacked,(function(){return"batchMatMul result is expected to be packed"})),u.shape=w,R.shape=n.outShape,Bt.makeTensorFromDataId(E.dataId,n.outShape,E.dtype)},e.prototype.conv2dWithIm2Row=function(t,e,n,r,o,a){var i=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,h="channelsLast"===n.dataFormat,d=i*s*u,f=l*c,p=[d,f],v=t.squeeze([0]),m=e.reshape([1,d,-1]),g=new Qi(p,v.shape,n),y=this.compileAndRun(g,[v]).reshape([1,p[0],p[1]]),x=null!=r,b=null!=a,w=o?uu(o,!0):null,C=new rs(y.shape,[1,f,n.outChannels],!0,!1,x,w,b),E=[y,m];r&&E.push(r),b&&E.push(a);var R=this.compileAndRun(C,E);return h?R.reshape([1,l,c,n.outChannels]):R.reshape([1,n.outChannels,l,c])},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,o,a,i);if(s().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,o,a,i);var u=null!=o,c=null!=i,l=a?uu(a,!1):null,h=new li(r,u,l,c),d=[e,n];return o&&d.push(o),i&&d.push(i),this.compileAndRun(h,d)},e.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(s().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new li(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerInput=function(t,e,n){var r=new ai(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerFilter=function(t,e,n){var r=new oi(n);return this.compileAndRun(r,[t,e])},e.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,o=t.convInfo,a=t.bias,i=t.activation,u=t.preluActivationWeights,c=s().getBool("WEBGL_PACK_DEPTHWISECONV")&&o.strideWidth<=2&&o.outChannels/o.inChannels==1,l=i?uu(i,c):null,h=[n,r],d=null!=a,f=null!=u;return d&&h.push(a),f&&h.push(u),c?(e=new fi(o,d,l,f),this.compileAndRun(e,h)):(e=new di(o,d,l,f),this.compileAndRun(e,h))},e.prototype.depthwiseConv2D=function(t,e,n){var r;return s().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new fi(n),this.compileAndRun(r,[t,e])):(r=new di(n),this.compileAndRun(r,[t,e]))},e.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new ci(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new ui(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3d=function(t,e,n){var r=new hi(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerInput=function(t,e,n){var r=new si(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerFilter=function(t,e,n){var r=new ii(n);return this.compileAndRun(r,[t,e])},e.prototype.maxPool=function(t,e){var n=new cs(e,"max",!1);return this.compileAndRun(n,[t])},e.prototype.avgPool=function(t,e){var n=new cs(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPoolBackprop=function(t,e,n,r){var o=new cs(r,"max",!0),a=this.compileAndRun(o,[e]),i=new es(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},e.prototype.avgPoolBackprop=function(t,e,n){var r=new Ba(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.cast=function(t,e){return Xo(t,e,this)},e.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),o=0,a=0;a<t.rank;a++)a!==e&&(r[o++]=t.shape[a]);var i=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)i[e]=a,u[a]=this.slice(t,i,s).reshape(r);return u},e.prototype.avgPool3d=function(t,e){var n=new ls(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.avgPool3dBackprop=function(t,e,n){var r=new Pa(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.maxPool3d=function(t,e){var n=new ls(e,"max",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPool3dBackprop=function(t,e,n,r){var o=new ls(r,"max",!0),a=this.compileAndRun(o,[e]),i=new ns(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},e.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!De(t.shape,e)&&(null===n.texture||!De(n.shape,e))){var r=this.packedReshape(t,e);return Bt.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return Yo(t,e)},e.prototype.resizeBilinear=function(t,e,n,r){var o=s().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new vs(t.shape,e,n,r):new ps(t.shape,e,n,r);return this.compileAndRun(o,[t],"float32")},e.prototype.resizeBilinearBackprop=function(t,e,n){var r=new fs(t,e,n);return this.compileAndRun(r,[t])},e.prototype.resizeNearestNeighbor=function(t,e,n,r){var o=new gs(t.shape,e,n,r);return this.compileAndRun(o,[t])},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new ms(t,e,n);return this.compileAndRun(r,[t])},e.prototype.multinomial=function(t,e,n,r){var o=e?t:To(t),a=o.shape[0],i=o.shape[1],s=new os(a,i,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[o],"int32",u)},e.prototype.oneHot=function(t,e,n,r){var o=new as(t.size,e,n,r);return this.compileAndRun(o,[t])},e.prototype.diag=function(t){var e=new bi(t.size);return this.compileAndRun(e,[t])},e.prototype.nonMaxSuppression=function(t,e,n,r,o){return je("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),oa(t.dataSync(),e.dataSync(),n,r,o)},e.prototype.cropAndResize=function(t,e,n,r,o,a){var i=new pi(t.shape,e.shape,r,o,a);return this.compileAndRun(i,[t,e,n],"float32")},e.prototype.depthToSpace=function(t,e,n){b(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));var r=t.shape[0],o="NHWC"===n?t.shape[1]:t.shape[2],a="NHWC"===n?t.shape[2]:t.shape[3],i="NHWC"===n?t.shape[3]:t.shape[1],s=o*e,u=a*e,c=i/(e*e),l=new xi("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},e.prototype.split=function(t,e,n){return la(t,e,n)},e.prototype.scatterND=function(t,e,n){var r=go(0,t,n),o=r.sliceRank,a=r.numUpdates,i=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/i,i],l=t.reshape([a,o]),h=e.reshape([a,i]);if(0===u)return Yo(fn([]),n);var d=vn(0),f=new bs(a,o,l.rank,h.rank,s,c);return this.compileAndRun(f,[h,l,d]).reshape(n)},e.prototype.sparseToDense=function(t,e,n,r){var o=go(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.strides,u=o.outputSize,c=new bs(i,a,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},e.prototype.fft=function(t){return this.fftImpl(t,!1)},e.prototype.ifft=function(t){return this.fftImpl(t,!0)},e.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new Si(Ii,t.shape,e),o=new Si(ki,t.shape,e),a=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag)],i=this.compileAndRun(r,a),s=this.compileAndRun(o,a),u=this.complex(i,s).as2D(t.shape[0],t.shape[1]);return i.dispose(),s.dispose(),u},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=lo(t,e),a=o[0],i=o[1],s=o[2],u=o[3],c=e.reshape([i,r]),l=t.reshape([t.size/s,s]),h=new Ti(r,u,[i,s]);return this.compileAndRun(h,[l,c]).reshape(a)},e.prototype.fill=function(t,e,n){if("string"===(n=n||q(e))){var r=M(n,R(t));return r.fill(e),Bt.makeTensor(r,t,n,this)}var o=new Ai(t,e),a=o.getCustomSetupFunc(e);return this.compileAndRun(o,[],n,a)},e.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},e.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},e.prototype.linspace=function(t,e,n){return $o(t,e,n)},e.prototype.makeTensorInfo=function(t,e){var n=this.write(null,t,e);return this.texData.get(n).usage=null,{dataId:n,shape:t,dtype:e}},e.prototype.makeOutput=function(t,e){var n=this.makeTensorInfo(t,e).dataId;return Bt.makeTensorFromDataId(n,t,e,this)},e.prototype.unpackTensor=function(t){var e=new iu(t.shape);return this.runWebGLProgram(e,[t],t.dtype)},e.prototype.packTensor=function(t){var e=new is(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)},e.prototype.packedReshape=function(t,e){var n=[ke(t.shape)].concat(Se(t.shape)),r={dtype:t.dtype,shape:n,dataId:t.dataId},o=[ke(e)].concat(Se(e)),a=new ds(o,n),i=this.runWebGLProgram(a,[r],t.dtype,null,!0);return{dataId:i.dataId,shape:e,dtype:i.dtype}},e.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,o=n.shape,a=n.dtype,i=Ae(o);e=r?new yi(i):new gi(i);return{dtype:a,shape:o,dataId:this.runWebGLProgram(e,[{shape:i,dtype:a,dataId:t}],a,null,!0).dataId}},e.prototype.runWebGLProgram=function(t,e,n,r,o){var a=this;void 0===o&&(o=!1);var i=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(i.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===Wt.DENSE){var c=jt(t.outputShape);u.texShape=c.map((function(t){return 2*t}))}if(null!=t.outTexUsage&&(u.usage=t.outTexUsage),0===R(i.shape))return u.values=O(i.dtype,0),i;var l=[],h=e.map((function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. 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ju=cn({multinomial_:function(t,e,n,r){void 0===r&&(r=!1);var o=$e(t,"logits","multinomial"),a=o.size,i=o.rank;if(a<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+a+".");if(i>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+i);n=n||Math.random();var s=1===i?o.as2D(1,-1):o,u=Bt.runKernelFunc((function(t){return t.multinomial(s,r,e,n)}),{logits2D:s});return 1===i?u.as1D():u}});var Xu=cn({oneHot_:function(t,e,n,r){if(void 0===n&&(n=1),void 0===r&&(r=0),e<2)throw new Error("Error in oneHot: depth must be >=2, but it is "+e);var o=$e(t,"indices","oneHot","int32"),a=o.shape.concat([e]),i={indices:o=o.flatten()},s={depth:e,onValue:n,offValue:r};return Bt.runKernelFunc((function(t,a){return a([o]),t.oneHot(o,e,n,r)}),i,null,or,s).reshape(a)}});var Yu=cn({pad_:function(t,e,n){void 0===n&&(n=0);var r=$e(t,"x","pad");if(0===r.rank)throw new Error("pad(scalar) is not defined. 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s=$e(t,"x","conv1d"),u=$e(e,"filter","conv1d"),c=s,l=!1;2===s.rank&&(l=!0,c=s.as3D(1,s.shape[0],s.shape[1])),b(3===c.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+c.rank+"."})),b(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),null!=i&&b(k(r),(function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+r+"."})),b(c.shape[2]===u.shape[1],(function(){return"Error in conv1d: depth of input ("+c.shape[2]+") must match input depth for filter "+u.shape[1]+"."})),b(Ko(n,a),(function(){return"Error in conv1D: Either stride or dilation must be 1. 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only NHWC is supported");b(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got rank "+l.rank+"."})),b(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."})),b(4===c.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."})),b(1===c.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+c.shape[0]+"."})),b(1===c.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+c.shape[1]+"."}));var d=u.shape[2],f=u.shape[3];b(c.shape[2]===d*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+d*f+", but got "+c.shape[2]+"."}));var p=zc(l,u,r,o,i,a),v=Pc(p,c,1,"valid",i);return h?v.as3D(v.shape[1],v.shape[2],v.shape[3]):v}}),qc=cn({conv2dTranspose_:function(t,e,n,r,o,a){return _c(n,$e(t,"x","conv2dTranspose"),$e(e,"filter","conv2dTranspose"),r,o,"NHWC",a)}}),Kc=cn({conv3dTranspose_:function(t,e,n,r,o){return Mc(n,$e(t,"x","conv3dTranspose"),$e(e,"filter","conv3dTranspose"),r,o)}});var jc=cn({matMul_:function(t,e,n,r){var o;void 0===n&&(n=!1),void 0===r&&(r=!1);var a=$e(t,"a","matMul"),i=$e(e,"b","matMul");o=Nt(a,i),a=o[0],i=o[1];var s=n?a.shape[a.rank-2]:a.shape[a.rank-1],u=r?i.shape[i.rank-1]:i.shape[i.rank-2],c=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?i.shape[i.rank-2]:i.shape[i.rank-1],h=a.shape.slice(0,-2),d=i.shape.slice(0,-2),f=R(h),p=R(d);b(a.rank>=2&&i.rank>=2&&a.rank===i.rank,(function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+i.rank+"."})),b(I(h,d),(function(){return"Error in matMul: outer dimensions ("+h+") and ("+d+") of Tensors with shapes "+a.shape+" and "+i.shape+" must match."})),b(s===u,(function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+n+" and transposeB="+r+" must match."}));var v=a.shape.slice(0,-2).concat([c,l]),m=n?a.as3D(f,s,c):a.as3D(f,c,s),g=r?i.as3D(p,l,u):i.as3D(p,u,l),y={transposeA:n,transposeB:r};return Bt.runKernelFunc((function(t,e){var o=t.batchMatMul(m,g,n,r);return e([m,g]),o}),{a:m,b:g},(function(t,e){var o=e,a=o[0],i=o[1];return n||r?!n&&r?{a:function(){return t.matMul(i,!1,!1)},b:function(){return t.matMul(a,!0,!1)}}:n&&!r?{a:function(){return i.matMul(t,!1,!0)},b:function(){return a.matMul(t,!1,!1)}}:{a:function(){return i.matMul(t,!0,!0)},b:function(){return t.matMul(a,!0,!0)}}:{a:function(){return t.matMul(i,!1,!0)},b:function(){return a.matMul(t,!0,!1)}}}),"BatchMatMul",y).reshape(v)}}),Xc=cn({dot_:function(t,e){var n=$e(t,"t1","dot"),r=$e(e,"t2","dot");b(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),(function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."}));var o=1===n.rank?n.size:n.shape[1],a=1===r.rank?r.size:r.shape[0];return b(o===a,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+o+" and "+a+"."})),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),Yc=cn({outerProduct_:function(t,e){var n=$e(t,"v1","outerProduct"),r=$e(e,"v2","outerProduct");return b(1===n.rank&&1===r.rank,(function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."})),n.as2D(-1,1).matMul(r.as2D(1,-1))}});var $c=cn({reverse_:function(t,e){var n=$e(t,"x","reverse");if(0===n.rank)return n.clone();var r=F(e,n.shape);return Bt.runKernelFunc((function(t){return t.reverse(n,r)}),{$x:n},(function(t){return{$x:function(){return t.reverse(r)}}})).reshapeAs(n)}}),Qc=cn({reverse1d_:function(t){var e=$e(t,"x","reverse");return b(1===e.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."})),$c(e,0)}}),Jc=cn({reverse2d_:function(t,e){var n=$e(t,"x","reverse");return b(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."})),$c(n,e)}}),Zc=cn({reverse3d_:function(t,e){var n=$e(t,"x","reverse");return b(3===n.rank,(function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."})),$c(n,e)}}),tl=cn({reverse4d_:function(t,e){var n=$e(t,"x","reverse");return b(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."})),$c(n,e)}});function el(t,e,n,r,o,a){var i=$e(t,"x","maxPool"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),null==r&&(r=[1,1]),b(4===s.rank,(function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."})),b(Ko(n,r),(function(){return"Error in maxPool: Either strides or dilations must be 1. 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b(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"})),cl(r,e,n)}}),dl=cn({slice3d_:function(t,e,n){var r=$e(t,"x","slice3d");return b(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"})),cl(r,e,n)}}),fl=cn({slice4d_:function(t,e,n){var r=$e(t,"x","slice4d");return b(4===r.rank,(function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"})),cl(r,e,n)}});function pl(t,e,n,r,o){return e.rank<n.rank&&(e=e.reshape(en(e.shape,r))),t.rank<n.rank&&(t=t.reshape(en(t.shape,r))),{x:function(){var r=t.mul(n.equal(e).cast(t.dtype));return null==o?r:r.transpose(o)}}}var vl=cn({all_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=$e(t,"x","all","bool"),o=F(e,r.shape),a=o,i=rn(a,r.rank);null!=i&&(r=r.transpose(i),a=an(a.length,r.rank));var s=Bt.runKernelFunc((function(t){return t.all(r,a)}),{$x:r});if(n){var u=en(s.shape,o);return s.reshape(u)}return 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e=$e(t,"x","selu");return Bt.runKernelFunc((function(t,n){var r=t.selu(e);return n([e]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){var e=n.greater(vn(0)),r=vn(Ds),o=vn(Fs),a=t.mul(o),i=t.mul(r).mul(n.toFloat().exp());return Vu(e,a,i)}}}))}});var Fl=cn({localResponseNormalization_:function(t,e,n,r,o){void 0===e&&(e=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===o&&(o=.5);var a=$e(t,"x","localResponseNormalization");b(4===a.rank||3===a.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+a.rank+"."})),b(k(e),(function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+e+"."}));var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2]));var u=Bt.runKernelFunc((function(t,a){var s=t.localResponseNormalization4D(i,e,n,r,o);return a([i,s]),s}),{x4D:i},(function(t,a){var i=a[0],s=a[1];return{x4D:function(){return Bt.runKernelFunc((function(a){return 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a=$e(t,"v","movingAverage"),i=$e(e,"x","movingAverage"),s=$e(n,"decay","movingAverage");Tt(a,i),b(I(a.shape,i.shape),(function(){return"Shape mismatch in v and x"}));var u=vn(1),c=u.sub(s),l=i.sub(a).mul(c);if(o){b(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var h=$e(r,"step","movingAverage");l=l.div(u.sub(oo(s,h)))}return a.add(l)}});var Pl=cn({stridedSlice_:function(t,e,n,r,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),null==r&&(r=new Array(e.length)),0!==i)throw new Error("ellipsis mask is not yet supported");var c=$e(t,"x","stridedSlice"),l=bo(s),h=c.shape.slice();l.forEach((function(t){e[t]=0,n[t]=1,h.splice(t,0,1)})),c=c.reshape(h);for(var d=0;d<c.rank;d++)e[d]=Co(o,e,r,c.shape,d),n[d]=Eo(a,n,r,c.shape,d),r[d]=r[d]||1;var f=bo(u);f.forEach((function(t){n[t]=e[t]+1,r[t]=1}));var p=wo(e,n,r),v=p.filter((function(t,e){return-1===f.indexOf(e)}));return r.every((function(t){return 1===t}))?cl(c,e,p).reshape(v):Bt.runKernelFunc((function(t){return t.stridedSlice(c,e,n,r)}),{$x:c}).reshape(v)}});var Ll=cn({topk_:function(t,e,n){void 0===e&&(e=1),void 0===n&&(n=!0);var r=$e(t,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var o=r.shape[r.shape.length-1];if(e>o)throw new Error("'k' passed to topk() must be <= the last dimension ("+o+") but got "+e);var a=Bt.runKernelFunc((function(t){return t.topk(r,e,n)}),{$x:r});return{values:a[0],indices:a[1]}}});var Wl=cn({scatterND_:function(t,e,n){var r=$e(t,"indices","scatterND","int32"),o=$e(e,"updates","scatterND");return mo(o,r,n),Bt.runKernelFunc((function(t){return t.scatterND(r,o,n)}),{indices:r,updates:o},null,"ScatterNd",{shape:n})}});var Ul=cn({fft_:function(t){b("complex64"===t.dtype,(function(){return"The dtype for tf.spectral.fft() must be complex64 but got "+t.dtype+"."}));var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return Bt.runKernelFunc((function(t){return t.fft(r)}),{input:t}).reshape(t.shape)}}),zl=cn({ifft_:function(t){b("complex64"===t.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 but got "+t.dtype+"."}));var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return Bt.runKernelFunc((function(t){return t.ifft(r)}),{input:t}).reshape(t.shape)}}),Vl=cn({rfft_:function(t,e){b("float32"===t.dtype,(function(){return"The dtype for rfft() must be real value but got "+t.dtype}));var n,r=t.shape[t.shape.length-1],o=t.size/r;if(null!=e&&e<r){var a=t.shape.map((function(t){return 0})),i=t.shape.map((function(t){return t}));i[t.shape.length-1]=e,n=t.slice(a,i),r=e}else if(null!=e&&e>r){var s=t.shape.map((function(t){return t}));s[t.shape.length-1]=e-r,n=t.concat(Rn(s),t.shape.length-1),r=e}else n=t;var u=n.zerosLike(),c=ln(n,u).as2D(o,r),l=Ul(c),h=Math.floor(r/2)+1,d=hn(l),f=dn(l),p=d.split([h,r-h],d.shape.length-1),v=f.split([h,r-h],f.shape.length-1),m=n.shape.slice();return m[n.shape.length-1]=h,ln(p[0],v[0]).reshape(m)}}),Gl=cn({irfft_:function(t){var e=t.shape[t.shape.length-1],n=t.size/e;if(e<=2){var r=t.as2D(n,e),o=zl(r);return hn(o)}var a=[n,2*(e-1)],i=hn(t).as2D(n,e),s=dn(t).as2D(n,e),u=i.slice([0,1],[n,e-2]).reverse(1),c=s.slice([0,1],[n,e-2]).reverse(1).mul(vn(-1)),l=i.concat(u,1),h=s.concat(c,1);return r=ln(l,h).as2D(a[0],a[1]),o=zl(r),hn(o)}}),Hl=Object.freeze({fft:Ul,ifft:zl,rfft:Vl,irfft:Gl});var ql=cn({sparseToDense_:function(t,e,n,r){void 0===r&&(r=0);var o=$e(t,"sparseIndices","sparseToDense","int32"),a=$e(e,"sparseValues","sparseToDense"),i=$e(r,"defaultValue","sparseToDense",a.dtype);return function(t,e,n,r){if("int32"!==t.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type, but the dtype was "+t.dtype+".");if(t.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix, but got shape "+t.shape+".");var o=t.rank>0?t.shape[0]:1,a=t.rank>1?t.shape[1]:1;if(n.length!==a)throw new Error("outputShape has incorrect number of elements:, "+n.length+", should be: "+a+".");var i=e.size;if(0!==e.rank&&(1!==e.rank||i!==o))throw new Error("sparseValues has incorrect shape "+e.shape+", should be [] or ["+o+"]");if(e.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(o,a,n,i),Bt.runKernelFunc((function(t){return t.sparseToDense(o,a,n,i)}),{$sparseIndices:o,$sparseValues:a,$defaultValue:i})}});var Kl=cn({gatherND_:function(t,e){var n=$e(e,"indices","gatherND","int32"),r=$e(t,"x","gatherND");return Bt.runKernelFunc((function(t){return t.gatherND(r,n)}),{x:r,indices:n},null,"GatherNd")}});var jl=cn({diag_:function(t){var e=$e(t,"x","diag").flatten(),n=t.shape.concat(t.shape);return Bt.runKernelFunc((function(t){return t.diag(e)}),{$x:e}).reshape(n)}});var Xl=cn({dropout_:function(t,e,n,r){var o=$e(t,"x","dropout");if(b("float32"===o.dtype,(function(){return"x has to be a floating point tensor since it's going to be scaled, but got a "+o.dtype+" tensor 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oh(c,u,a)}}),ih=cn({hingeLoss_:function(e,n,r,o){void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=$e(e,"labels","hingeLoss"),i=$e(n,"predictions","hingeLoss"),s=null;null!=r&&(s=$e(r,"weights","hingeLoss")),w(a.shape,i.shape,"Error in hingeLoss: ");var u=vn(1);a=vn(2).mul(a).sub(u);var c=u.sub(a.mul(i)).relu();return oh(c,s,o)}}),sh=cn({huberLoss_:function(e,n,r,o,a){void 0===o&&(o=1),void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=$e(e,"labels","huberLoss"),s=$e(n,"predictions","huberLoss"),u=null;null!=r&&(u=$e(r,"weights","huberLoss")),w(i.shape,s.shape,"Error in huberLoss: ");var c=vn(o),l=s.sub(i).abs(),h=Jr(l,c),d=l.sub(h),f=vn(.5).mul(h.square()).add(c.mul(d));return oh(f,u,a)}}),uh=cn({logLoss_:function(e,n,r,o,a){void 0===o&&(o=1e-7),void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=$e(e,"labels","logLoss"),s=$e(n,"predictions","logLoss"),u=null;null!=r&&(u=$e(r,"weights","logLoss")),w(i.shape,s.shape,"Error in logLoss: ");var c=vn(1),l=vn(o),h=i.mul(s.add(l).log()).neg().sub(c.sub(i).mul(c.sub(s).add(l).log()));return oh(h,u,a)}}),ch=cn({meanSquaredError_:function(e,n,r,o){void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=$e(e,"labels","meanSquaredError"),i=$e(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=$e(r,"weights","meanSquaredError")),w(a.shape,i.shape,"Error in meanSquaredError: ");var u=a.squaredDifference(i);return oh(u,s,o)}}),lh=cn({sigmoidCrossEntropy_:function(e,n,r,o,a){void 0===o&&(o=0),void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=$e(e,"multiClassLabels","sigmoidCrossEntropy"),s=$e(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=$e(r,"weights","sigmoidCrossEntropy")),w(i.shape,s.shape,"Error in sigmoidCrossEntropy: "),o>0){var c=vn(o),l=vn(1),h=vn(.5);i=i.mul(l.sub(c)).add(h.mul(c))}var d=function(t,e){var n=$e(t,"labels","sigmoidCrossEntropyWithLogits"),r=$e(e,"logits","sigmoidCrossEntropyWithLogits");w(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var o=r.relu(),a=r.mul(n),i=r.abs().neg().exp().log1p();return o.sub(a).add(i)}(i,s);return oh(d,u,a)}}),hh=cn({softmaxCrossEntropy_:function(e,n,r,o,a){void 0===o&&(o=0),void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=$e(e,"onehotLabels","softmaxCrossEntropy"),s=$e(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=$e(r,"weights","softmaxCrossEntropy")),w(i.shape,s.shape,"Error in softmaxCrossEntropy: "),o>0){var c=vn(o),l=vn(1),h=vn(i.shape[1]);i=i.mul(l.sub(c)).add(c.div(h))}var d=function(t,e,n){if(void 0===n&&(n=-1),-1===n&&(n=e.rank-1),n!==e.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank "+e.rank+" and dim was "+n);return Ao((function(t,e,r){var o=e.logSumExp([n],!0),a=e.toFloat().sub(o);r([t,a]);return{value:a.mul(t).neg().sum([n]),gradFunc:function(t,e){var r=e[0],o=e[1],a=en(t.shape,[n]);return[t.reshape(a).mul(r.toFloat().sub(o.exp())),t.reshape(a).mul(o.exp().sub(r.toFloat()))]}}}))(t,e)}(i,s);return oh(d,u,a)}}),dh=Object.freeze({get Reduction(){return t.Reduction},absoluteDifference:rh,computeWeightedLoss:oh,cosineDistance:ah,hingeLoss:ih,huberLoss:sh,logLoss:uh,meanSquaredError:ch,sigmoidCrossEntropy:lh,softmaxCrossEntropy:hh});function fh(t,e){return void 0===e&&(e=!1),Bt.tidy((function(){if(2!==t.shape.length)throw new Error("qr2d() requires a 2D Tensor, but got a "+t.shape.length+"D Tensor.");for(var n=t.shape[0],r=t.shape[1],o=Ku(n),a=t.clone(),i=gn([[1]],[1,1]),s=i.clone(),u=n>=r?r:n,c=function(t){var e,u=a,c=s,l=o;e=Bt.tidy((function(){var e=a.slice([t,t],[n-t,1]),u=e.norm(),c=a.slice([t,t],[1,1]),l=gn([[-1]]).where(c.greater(0),gn([[1]])),h=c.sub(l.mul(u)),d=e.div(h);s=1===d.shape[0]?i.clone():i.concat(d.slice([1,0],[d.shape[0]-1,d.shape[1]]),0);var f=l.matMul(h).div(u).neg(),p=a.slice([t,0],[n-t,r]),v=f.mul(s),m=s.transpose();if(0===t)a=p.sub(v.matMul(m.matMul(p)));else{var g=p.sub(v.matMul(m.matMul(p)));a=a.slice([0,0],[t,r]).concat(g,0)}var y=v.transpose(),x=o.slice([0,t],[n,o.shape[1]-t]);if(0===t)o=x.sub(x.matMul(s).matMul(y));else{var b=x.sub(x.matMul(s).matMul(y));o=o.slice([0,0],[n,t]).concat(b,1)}return[s,a,o]})),s=e[0],a=e[1],o=e[2],qe([u,c,l])},l=0;l<u;++l)c(l);return!e&&n>r&&(o=o.slice([0,0],[n,r]),a=a.slice([0,0],[r,r])),[o,a]}))}var ph=cn({bandPart_:function(t,e,n){if(e%1!=0)throw new Error("bandPart(): numLower must be an integer, got "+e+".");if(n%1!=0)throw new Error("bandPart(): numUpper must be an integer, got "+n+".");var r=$e(t,"a","bandPart");if(r.rank<2)throw new Error("bandPart(): Rank must be at least 2, got "+r.rank+".");var o=r.shape,a=r.shape.slice(-2),i=a[0],s=a[1];if(!(e<=i))throw new Error("bandPart(): numLower ("+e+") must not be greater than the number of rows ("+i+").");if(!(n<=s))throw new Error("bandPart(): numUpper ("+n+") must not be greater than the number of columns ("+s+").");e<0&&(e=i),n<0&&(n=s);var u=Sn(0,i,1,"int32").reshape([-1,1]),c=Sn(0,s,1,"int32"),l=so(u,c),h=Lu(l.lessEqual(vn(+e,"int32")),l.greaterEqual(vn(-n,"int32"))),d=Rn([i,s],r.dtype);return Kn(jn(r.reshape([-1,i,s])).map((function(t){return Vu(h,t,d)}))).reshape(o)}}),vh=cn({gramSchmidt_:function(t){var e;if(Array.isArray(t)){e=!1,b(null!=t&&t.length>0,(function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"}));for(var n=t[0].shape[0],r=function(e){b(t[e].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+t[e].shape[0]+" vs. "+n+")"}))},o=1;o<t.length;++o)r(o)}else e=!0,t=Mn(t,t.shape[0],0).map((function(t){return qn(t,[0])}));b(t.length<=t[0].shape[0],(function(){return"Gram-Schmidt: Number of vectors ("+t.length+") exceeds number of dimensions ("+t[0].shape[0]+")."}));var a=[],i=t,s=function(t){a.push(Bt.tidy((function(){var e=i[t];if(t>0)for(var n=0;n<t;++n){var r=Rl(a[n].mulStrict(e)).mul(a[n]);e=e.sub(r)}return e.div(_l(e,"euclidean"))})))};for(o=0;o<t.length;++o)s(o);return e?Kn(a,0):a}}),mh=cn({qr_:function(t,e){if(void 0===e&&(e=!1),t.rank<2)throw new Error("qr() requires input tensor to have a rank >= 2, but got rank "+t.rank);if(2===t.rank)return fh(t,e);var n=t.shape.slice(0,t.shape.length-2).reduce((function(t,e){return t*e})),r=jn(t.reshape([n,t.shape[t.shape.length-2],t.shape[t.shape.length-1]]),0),o=[],a=[];return r.forEach((function(t){var n=fh(t,e),r=n[0],i=n[1];o.push(r),a.push(i)})),[Kn(o,0).reshape(t.shape),Kn(a,0).reshape(t.shape)]}}),gh=Object.freeze({bandPart:ph,gramSchmidt:vh,qr:mh});function yh(t,e,n,r,o,a){null==r&&(r=.5),null==o&&(o=Number.NEGATIVE_INFINITY),null==a&&(a=0);var i=t.shape[0];return n=Math.min(n,i),b(0<=r&&r<=1,(function(){return"iouThreshold must be in [0, 1], but was '"+r+"'"})),b(2===t.rank,(function(){return"boxes must be a 2D tensor, but was of rank '"+t.rank+"'"})),b(4===t.shape[1],(function(){return"boxes must have 4 columns, but 2nd dimension was "+t.shape[1]})),b(1===e.rank,(function(){return"scores must be a 1D tensor"})),b(e.shape[0]===i,(function(){return"scores has incompatible shape with boxes. Expected "+i+", but was "+e.shape[0]})),b(0<=a&&a<=1,(function(){return"softNmsSigma must be in [0, 1], but was '"+a+"'"})),{maxOutputSize:n,iouThreshold:r,scoreThreshold:o,softNmsSigma:a}}var xh=cn({resizeBilinear_:function(t,e,n){void 0===n&&(n=!1);var r=$e(t,"images","resizeBilinear");b(3===r.rank||4===r.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+r.rank+"."})),b(2===e.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+e+"."}));var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=e[0],s=e[1],u=Bt.runKernelFunc((function(t,e){return e([o]),t.resizeBilinear(o,i,s,n)}),{x:o},(function(t,e){return{x:function(){return Bt.runKernelFunc((function(r){return r.resizeBilinearBackprop(t,e[0],n)}),{})}}}),"ResizeBilinear",{alignCorners:n,newHeight:i,newWidth:s});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),bh=cn({resizeNearestNeighbor_:function(t,e,n){void 0===n&&(n=!1);var r=$e(t,"images","resizeNearestNeighbor");b(3===r.rank||4===r.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."})),b(2===e.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."})),b("float32"===r.dtype||"int32"===r.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"}));var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=e[0],s=e[1],u=Bt.runKernelFunc((function(t,e){return e([o]),t.resizeNearestNeighbor(o,i,s,n)}),{batchImages:o},(function(t,e){return{batchImages:function(){return Bt.runKernelFunc((function(r){return r.resizeNearestNeighborBackprop(t,e[0],n)}),{})}}}));return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),wh=cn({nonMaxSuppression_:function(t,e,n,r,o){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var a=$e(t,"boxes","nonMaxSuppression"),i=$e(e,"scores","nonMaxSuppression"),s=yh(a,i,n,r,o);n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold;var u={maxOutputSize:n,iouThreshold:r,scoreThreshold:o};return Bt.runKernelFunc((function(t){return t.nonMaxSuppression(a,i,n,r,o)}),{boxes:a,scores:i},null,"NonMaxSuppressionV3",u)}}),Ch=function(t,e,n,a,i){return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),r(this,void 0,void 0,(function(){var r,s,u,c,l,h,d;return o(this,(function(o){switch(o.label){case 0:return r=$e(t,"boxes","nonMaxSuppressionAsync"),s=$e(e,"scores","nonMaxSuppressionAsync"),u=yh(r,s,n,a,i),n=u.maxOutputSize,a=u.iouThreshold,i=u.scoreThreshold,[4,Promise.all([r.data(),s.data()])];case 1:return c=o.sent(),l=c[0],h=c[1],d=oa(l,h,n,a,i),r!==t&&r.dispose(),s!==e&&s.dispose(),[2,d]}}))}))},Eh=cn({nonMaxSuppressionWithScore_:function(t,e,n,r,o,a){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),void 0===a&&(a=0);var i=$e(t,"boxes","nonMaxSuppression"),s=$e(e,"scores","nonMaxSuppression"),u=yh(i,s,n,r,o,a),c={maxOutputSize:n=u.maxOutputSize,iouThreshold:r=u.iouThreshold,scoreThreshold:o=u.scoreThreshold,softNmsSigma:a=u.softNmsSigma},l=Bt.runKernel("NonMaxSuppressionV5",{boxes:i,scores:s},c);return{selectedIndices:l[0],selectedScores:l[1]}}}),Rh=function(t,e,n,a,i,s){return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),void 0===s&&(s=0),r(this,void 0,void 0,(function(){var r,u,c,l,h,d,f;return o(this,(function(o){switch(o.label){case 0:return r=$e(t,"boxes","nonMaxSuppressionAsync"),u=$e(e,"scores","nonMaxSuppressionAsync"),c=yh(r,u,n,a,i,s),n=c.maxOutputSize,a=c.iouThreshold,i=c.scoreThreshold,s=c.softNmsSigma,[4,Promise.all([r.data(),u.data()])];case 1:return l=o.sent(),h=l[0],d=l[1],f=aa(h,d,n,a,i,s),r!==t&&r.dispose(),u!==e&&u.dispose(),[2,f]}}))}))},Ih=cn({cropAndResize_:function(t,e,n,r,o,a){var i=$e(t,"image","cropAndResize"),s=$e(e,"boxes","cropAndResize","float32"),u=$e(n,"boxInd","cropAndResize","int32");o=o||"bilinear",a=a||0;var c=s.shape[0];return b(4===i.rank,(function(){return"Error in cropAndResize: image must be rank 4,but got rank "+i.rank+"."})),b(2===s.rank&&4===s.shape[1],(function(){return"Error in cropAndResize: boxes must be have size ["+c+",4] but had shape "+s.shape+"."})),b(1===u.rank&&u.shape[0]===c,(function(){return"Error in cropAndResize: boxInd must be have size ["+c+"] but had shape "+s.shape+"."})),b(2===r.length,(function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."})),b(r[0]>=1&&r[1]>=1,(function(){return"cropSize must be atleast [1,1], but was "+r})),b("bilinear"===o||"nearest"===o,(function(){return"method must be bilinear or nearest, but was "+o})),Bt.runKernelFunc((function(t,e){return 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f=u[l+d];f>h&&(h=f)}s[c]=h}return a},e.prototype.maximum=function(t,e){return Bh([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.max(t,e)}))},e.prototype.all=function(t,e){Bh(t,"all"),nn("all",e,t.rank);for(var n=tn(t.shape,e),r=n[0],o=n[1],a=Rn(r,t.dtype),i=R(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],d=0;d<i;++d){var f=u[l+d];h=h&&f}s[c]=h}return a},e.prototype.any=function(t,e){Bh(t,"any"),nn("any",e,t.rank);for(var n=tn(t.shape,e),r=n[0],o=n[1],a=Rn(r,t.dtype),i=R(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],d=0;d<i;++d){var f=u[l+d];h=h||f}s[c]=h}return a},e.prototype.squaredDifference=function(t,e){return Bh([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){var n=t-e;return n*n}))},e.prototype.ceil=function(t){Bh(t,"ceil");for(var e=this.readSync(t.dataId),n=new 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this.makeOutput(n,t.shape,"float32")},e.prototype.log1p=function(t){Bh(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log1p(o)}return this.makeOutput(n,t.shape,"float32")},e.prototype.sqrt=function(t){Bh(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},e.prototype.rsqrt=function(t){Bh(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=1/Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},e.prototype.reciprocal=function(t){Bh(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return this.makeOutput(n,t.shape,"float32")},e.prototype.linear=function(t){return t},e.prototype.relu=function(t){Bh(t,"relu");for(var e=Rn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.max(0,r[o]);return e},e.prototype.relu6=function(t){Bh(t,"relu");for(var e=Rn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.min(Math.max(0,r[o]),6);return e},e.prototype.prelu=function(t,e){return Bh([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return t<0?e*t:t}))},e.prototype.elu=function(t){Bh(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=n[r];e[r]=o>=0?o:Math.exp(o)-1}return this.makeOutput(e,t.shape,"float32")},e.prototype.eluDer=function(t,e){Bh([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),o=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];n[a]=i>=1?o[a]:o[a]*(i+1)}return this.makeOutput(n,e.shape,"float32")},e.prototype.selu=function(t){Bh(t,"selu");for(var e=Ds,n=Fs,r=new 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this.makeOutput(e,t.shape,"float32")},e.prototype.asin=function(t){Bh(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.acos=function(t){Bh(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atan=function(t){Bh(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atan2=function(t,e){return Bh([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.atan2(t,e)}))},e.prototype.sinh=function(t){Bh(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.cosh=function(t){Bh(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.tanh=function(t){Bh(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=S(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asinh=function(t){Bh(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.acosh=function(t){Bh(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atanh=function(t){Bh(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.erf=function(t){Bh(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=Math.sign(n[r]),a=Math.abs(n[r]),i=1/(1+.3275911*a);e[r]=o*(1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a))}return this.makeOutput(e,t.shape,"float32")},e.prototype.step=function(t,e){void 0===e&&(e=0),Bh(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o];isNaN(a)?n[o]=NaN:n[o]=a>0?1:e}return this.makeOutput(n,t.shape,"float32")},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.conv2d(e,n,r);return o&&(s=this.add(s,o)),a&&(s=Wh(this,s,a,i)),s},e.prototype.conv2d=function(t,e,n){Bh([t,e],"conv2d");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=Bn(n.outShape,t.dtype),h=t.strides[0],d=c?t.strides[1]:t.strides[2],f=c?t.strides[2]:1,p=c?1:t.strides[1],v=l.strides[0],m=c?l.strides[1]:l.strides[2],g=c?l.strides[2]:1,y=c?1:l.strides[1],x=this.readSync(t.dataId),b=this.readSync(e.dataId),w=l.values,C=0;C<n.batchSize;++C)for(var E=C*h,R=C*v,I=0;I<n.outHeight;++I)for(var k=R+I*m,S=I*n.strideHeight-u,A=0;A<r;A++){var N=S+A*a;if(!(N<0||N>=n.inHeight))for(var T=A*e.strides[0],D=E+N*d,F=0;F<n.outWidth;++F)for(var _=k+F*g,O=F*n.strideWidth-s,M=0;M<o;M++){var B=O+M*i;if(!(B<0||B>=n.inWidth))for(var P=D+B*f,L=T+M*e.strides[1],W=0;W<n.inChannels;++W){for(var U=x[P+W*p],z=0;z<n.outChannels;++z)w[_+z*y]+=U*b[L+z];L+=n.outChannels}}}return l.toTensor()},e.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,o=n.filterHeight,a=n.filterWidth,i=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,h=n.padInfo.top,d=Bn(n.outShape,t.dtype),f=this.readSync(t.dataId),p=this.readSync(e.dataId),v=d.values,m=0;m<n.batchSize;++m)for(var g=m*t.strides[0],y=m*d.strides[0],x=0;x<n.outDepth;++x)for(var b=y+x*d.strides[1],w=x*n.strideDepth-c,C=0;C<r;C++){var E=w+C*i;if(!(E<0||E>=n.inDepth))for(var R=C*e.strides[0],I=g+E*t.strides[1],k=0;k<n.outHeight;++k)for(var S=b+k*d.strides[2],A=k*n.strideHeight-h,N=0;N<o;N++){var T=A+N*s;if(!(T<0||T>=n.inHeight))for(var D=R+N*e.strides[1],F=I+T*t.strides[2],_=0;_<n.outWidth;++_)for(var O=S+_*n.outChannels,M=_*n.strideWidth-l,B=0;B<a;B++){var P=M+B*u;if(!(P<0||P>=n.inWidth))for(var L=D+B*e.strides[2],W=F+P*n.inChannels,U=L,z=0;z<n.inChannels;++z){for(var V=f[W+z],G=0;G<n.outChannels;++G)v[O+G]+=V*p[U+G];U+=n.outChannels}}}}return d.toTensor()},e.prototype.conv2dDerInput=function(t,e,n){Bh([t,e],"conv2dDerInput");for(var r=Bn(n.inShape,"float32"),o=r.values,a=this.readSync(t.dataId),i=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],h=n.batchSize,d=n.filterHeight,f=n.filterWidth,p=n.inChannels,v=n.inHeight,m=n.inWidth,g=n.outChannels,y=n.outHeight,x=n.outWidth,b=n.strideHeight,w=n.strideWidth,C=n.dataFormat,E=d-1-n.padInfo.top,R=f-1-n.padInfo.left,I="channelsLast"===C,k=r.strides[0],S=I?r.strides[1]:r.strides[2],A=I?r.strides[2]:1,N=I?1:r.strides[1],T=t.strides[0],D=I?t.strides[1]:t.strides[2],F=I?t.strides[2]:1,_=I?1:t.strides[1],O=0;O<h;++O)for(var M=0;M<p;++M)for(var B=0;B<v;++B)for(var P=B-E,L=Math.max(0,Math.ceil(P/b)),W=Math.min(y,(d+P)/b),U=0;U<m;++U){for(var z=U-R,V=Math.max(0,Math.ceil(z/w)),G=Math.min(x,(f+z)/w),H=0,q=L;q<W;++q)for(var K=q*b-P,j=V;j<G;++j)for(var X=T*O+D*q+F*j,Y=u*(d-1-K)+c*(f-1-(j*w-z))+l*M,$=0;$<g;++$){H+=a[X+_*$]*i[Y+$]}o[k*O+S*B+A*U+N*M]=H}return r.toTensor()},e.prototype.conv3dDerInput=function(t,e,n){for(var r=Bn(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(t.dataId),h=t.strides,d=h[0],f=h[1],p=h[2],v=h[3],m=this.readSync(e.dataId),g=e.strides,y=g[0],x=g[1],b=g[2],w=g[3],C=n.batchSize,E=n.filterDepth,R=n.filterHeight,I=n.filterWidth,k=n.inChannels,S=n.inDepth,A=n.inHeight,N=n.inWidth,T=n.outChannels,D=n.outDepth,F=n.outHeight,_=n.outWidth,O=n.strideDepth,M=n.strideHeight,B=n.strideWidth,P=E-1-n.padInfo.front,L=R-1-n.padInfo.top,W=I-1-n.padInfo.left,U=0;U<C;++U)for(var z=0;z<k;++z)for(var V=0;V<S;++V)for(var G=V-P,H=Math.max(0,Math.ceil(G/O)),q=Math.min(D,(E+G)/O),K=0;K<A;++K)for(var j=K-L,X=Math.max(0,Math.ceil(j/M)),Y=Math.min(F,(R+j)/M),$=0;$<N;++$){for(var Q=$-W,J=Math.max(0,Math.ceil(Q/B)),Z=Math.min(_,(I+Q)/B),tt=0,et=H;et<q;++et)for(var nt=et*O-G,rt=X;rt<Y;++rt)for(var ot=rt*M-j,at=J;at<Z;++at)for(var it=d*U+f*et+p*rt+v*at,st=y*(E-1-nt)+x*(R-1-ot)+b*(I-1-(at*B-Q))+w*z,ut=0;ut<T;++ut){tt+=l[it+ut]*m[st+ut]}o[i*U+s*V+u*K+c*$+z]=tt}return r.toTensor()},e.prototype.conv2dDerFilter=function(t,e,n){Bh([t,e],"conv2dDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s="channelsLast"===n.dataFormat,u=Bn(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,h=this.bufferSync(t),d=this.bufferSync(e),f=0;f<a;++f)for(var p=Math.max(0,Math.ceil((l-f)/r)),v=Math.min(n.outHeight,(n.inHeight+l-f)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((c-m)/o)),y=Math.min(n.outWidth,(n.inWidth+c-m)/o),x=0;x<n.inChannels;++x)for(var b=0;b<n.outChannels;++b){for(var w=0,C=0;C<n.batchSize;++C)for(var E=p;E<v;++E)for(var R=f+E*r-l,I=g;I<y;++I){var k=m+I*o-c;w+=s?h.get(C,R,k,x)*d.get(C,E,I,b):h.get(C,x,R,k)*d.get(C,b,E,I)}u.set(w,f,m,x,b)}return u.toTensor()},e.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=Bn(n.filterShape,"float32"),l=c.values,h=c.strides,d=h[0],f=h[1],p=h[2],v=h[3],m=this.readSync(e.dataId),g=e.strides,y=g[0],x=g[1],b=g[2],w=g[3],C=this.readSync(t.dataId),E=t.strides,R=E[0],I=E[1],k=E[2],S=E[3],A=n.padInfo.front,N=n.padInfo.left,T=n.padInfo.top,D=0;D<i;++D)for(var F=Math.max(0,Math.ceil((A-D)/r)),_=Math.min(n.outDepth,(n.inDepth+A-D)/r),O=D*d,M=0;M<s;++M)for(var B=Math.max(0,Math.ceil((T-M)/o)),P=Math.min(n.outHeight,(n.inHeight+T-M)/o),L=M*f+O,W=0;W<u;++W)for(var U=Math.max(0,Math.ceil((N-W)/a)),z=Math.min(n.outWidth,(n.inWidth+N-W)/a),V=W*p+L,G=0;G<n.inChannels;++G)for(var H=G*v+V,q=0;q<n.outChannels;++q){for(var K=0,j=0;j<n.batchSize;++j)for(var X=j*R,Y=j*y,$=F;$<_;++$)for(var Q=(D+$*r-A)*I+X,J=$*x+Y,Z=B;Z<P;++Z)for(var tt=(M+Z*o-T)*k+Q,et=Z*b+J,nt=U;nt<z;++nt){var rt=nt*w+et;K+=C[(W+nt*a-N)*S+tt+G]*m[rt+q]}l[H+q]=K}return c.toTensor()},e.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return o&&(s=this.add(s,o)),a&&(s=Wh(this,s,a,i)),s},e.prototype.depthwiseConv2D=function(t,e,n){Bh([t,e],"depthwiseConv2D");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=Bn(n.outShape,t.dtype),h=this.readSync(t.dataId),d=this.readSync(e.dataId),f=l.values,p=0;p<n.batchSize;++p)for(var v=p*t.strides[0],m=p*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],x=g*n.strideHeight-s,b=0;b<r;++b){var w=x+b*a;if(!(w<0||w>=n.inHeight))for(var C=b*e.strides[0],E=v+w*t.strides[1],R=0;R<n.outWidth;++R)for(var I=y+R*l.strides[2],k=R*n.strideWidth-u,S=0;S<o;++S){var A=k+S*i;if(!(A<0||A>=n.inWidth))for(var N=C+S*e.strides[1],T=E+A*n.inChannels,D=I,F=N,_=0;_<n.inChannels;++_){for(var O=h[T+_],M=0;M<c;++M)f[D+M]+=O*d[F+M];D+=c,F+=c}}}return l.toTensor()},e.prototype.depthwiseConv2DDerInput=function(t,e,n){Bh([t,e],"depthwiseConv2DDerInput");for(var r=Bn(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=this.readSync(t.dataId),l=t.strides,h=l[0],d=l[1],f=l[2],p=this.readSync(e.dataId),v=e.strides,m=v[0],g=v[1],y=v[2],x=n.batchSize,b=n.filterHeight,w=n.filterWidth,C=n.inChannels,E=n.inHeight,R=n.inWidth,I=n.outChannels,k=n.outHeight,S=n.outWidth,A=n.strideHeight,N=n.strideWidth,T=b-1-n.padInfo.top,D=w-1-n.padInfo.left,F=I/C,_=0;_<x;++_)for(var O=0;O<C;++O)for(var M=0;M<E;++M)for(var B=M-T,P=Math.max(0,Math.ceil(B/A)),L=Math.min(k,(b+B)/A),W=0;W<R;++W){for(var U=W-D,z=Math.max(0,Math.ceil(U/N)),V=Math.min(S,(w+U)/N),G=0,H=P;H<L;++H)for(var q=H*A-B,K=z;K<V;++K)for(var j=h*_+d*H+f*K,X=m*(b-1-q)+g*(w-1-(K*N-U))+y*O,Y=0;Y<F;++Y){G+=c[j+(O*F+Y)]*p[X+Y]}o[i*_+s*M+u*W+O]=G}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){Bh([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=Bn(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,h=this.bufferSync(t),d=this.bufferSync(e),f=0;f<a;++f)for(var p=Math.max(0,Math.ceil((c-f)/r)),v=Math.min(n.outHeight,(n.inHeight+c-f)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((u-m)/o)),y=Math.min(n.outWidth,(n.inWidth+u-m)/o),x=0;x<n.outChannels;++x){for(var b=Math.trunc(x/l),w=x%l,C=0,E=0;E<n.batchSize;++E)for(var R=p;R<v;++R)for(var I=f+R*r-c,k=g;k<y;++k){var S=m+k*o-u;C+=h.get(E,I,S,b)*d.get(E,R,k,x)}s.set(C,f,m,b,w)}return s.toTensor()},e.prototype.tile=function(t,e){return Bh(t,"tile"),ha(this.bufferSync(t),e)},e.prototype.pad=function(t,e,n){Bh(t,"pad");var r=e.map((function(e,n){return e[0]+t.shape[n]+e[1]})),o=e.map((function(t){return t[0]})),a=this.bufferSync(t),i=Bn(r,t.dtype);0!==n&&i.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),c=u.map((function(t,e){return t+o[e]}));i.set.apply(i,[a.get.apply(a,u)].concat(c))}return i.toTensor()},e.prototype.gather=function(t,e,n){Bh([t,e],"gather");var r=t.shape.slice(),o=this.readSync(e.dataId);r[n]=o.length;for(var a=Bn(r,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=o[u[n]];var l=i.locToIndex(c);a.values[s]=i.values[l]}return a.toTensor()},e.prototype.batchToSpaceND=function(t,e,n){Bh([t],"batchToSpaceND");var r=e.reduce((function(t,e){return t*e})),o=Yn(t.shape,e,r),a=$n(o.length,e.length),i=Qn(t.shape,e,r),s=Jn(n,e.length),u=Zn(i,n,e.length);return Fo(t.reshape(o),a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){Bh([t],"spaceToBatchND");var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=Yn(i.shape,e,r,!1),u=$n(s.length,e.length,!1),c=Qn(i.shape,e,r,!1);return Fo(i.reshape(s),u).reshape(c)},e.prototype.maxPool=function(t,e){return Bh(t,"maxPool"),Ph(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"max").toTensor()},e.prototype.maxPoolBackprop=function(t,e,n,r){Bh([e,n],"maxPoolBackprop");for(var o=this.readSync(e.dataId),a=Bn(r.outShape,e.dtype,Lh(o,e.shape,e.dtype,r).values),i=r.strideHeight,s=r.strideWidth,u=r.dilationHeight,c=r.dilationWidth,l=r.effectiveFilterHeight,h=r.effectiveFilterWidth,d=h-1-r.padInfo.left,f=l-1-r.padInfo.top,p=Bn(e.shape,"float32"),v=this.bufferSync(t),m=0;m<r.batchSize;++m)for(var g=0;g<r.inChannels;++g)for(var y=0;y<r.inHeight;++y)for(var x=0;x<r.inWidth;++x){for(var b=y-f,w=x-d,C=0,E=0;E<l;E+=u){var R=(b+E)/i;if(!(R<0||R>=r.outHeight||Math.floor(R)!==R))for(var I=0;I<h;I+=c){var k=(w+I)/s;if(!(k<0||k>=r.outWidth||Math.floor(k)!==k)){var S=l*h-1-a.get(m,R,k,g)===E*h+I?1:0;if(0!==S)C+=v.get(m,R,k,g)*S}}}p.set(C,m,y,x,g)}return p.toTensor()},e.prototype.avgPoolBackprop=function(t,e,n){Bh([t,e],"avgPoolBackprop");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,h=l-1-n.padInfo.left,d=c-1-n.padInfo.top,f=Bn(e.shape,"float32"),p=1/(a*i),v=this.bufferSync(t),m=0;m<n.batchSize;++m)for(var g=0;g<n.inChannels;++g)for(var y=0;y<n.inHeight;++y)for(var x=0;x<n.inWidth;++x){for(var b=y-d,w=x-h,C=0,E=0;E<c;E+=s){var R=(b+E)/r;if(!(R<0||R>=n.outHeight||Math.floor(R)!==R))for(var I=0;I<l;I+=u){var k=(w+I)/o;if(!(k<0||k>=n.outWidth||Math.floor(k)!==k))C+=v.get(m,R,k,g)}}f.set(C*p,m,y,x,g)}return f.toTensor()},e.prototype.pool3d=function(t,e,n){Bh(t,"pool3d");for(var r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,d=e.padInfo.front,f=e.padInfo.top,p=e.padInfo.left,v="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=this.readSync(t.dataId),g=Bn(e.outShape,t.dtype),y=g.values,x=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],b=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],E=0;E<e.batchSize;++E)for(var R=E*x,I=E*t.strides[0],k=0;k<e.inChannels;++k)for(var S=0;S<e.outDepth;++S){for(var A=S*r-d,N=A;N<0;)N+=i;for(var T=Math.min(e.inDepth,c+A),D=R+S*b,F=0;F<e.outHeight;++F){for(var _=F*o-f,O=_;O<0;)O+=s;for(var M=Math.min(e.inHeight,l+_),B=D+F*w,P=0;P<e.outWidth;++P){for(var L=P*a-p,W=L;W<0;)W+=u;for(var U=Math.min(e.inWidth,h+L),z=B+P*C,V=v,G=0,H=0,q=N;q<T;q+=i){for(var K=I+q*t.strides[1],j=O;j<M;j+=s){for(var X=K+j*t.strides[2],Y=W;Y<U;Y+=u){var $=m[X+Y*t.strides[3]+k];if("max"===n&&$>V?V=$:"avg"===n&&(G+=$,H++),isNaN(V))break}if(isNaN(V))break}if(isNaN(V))break}y[z+k]="avg"===n?G/H:V}}}return g.toTensor()},e.prototype.avgPool3d=function(t,e){return Bh(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},e.prototype.avgPool3dBackprop=function(t,e,n){Bh([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,h=n.dilationWidth,d=n.effectiveFilterDepth,f=n.effectiveFilterHeight,p=n.effectiveFilterWidth,v=d-1-n.padInfo.front,m=p-1-n.padInfo.left,g=f-1-n.padInfo.top,y=Bn(e.shape,"float32"),x=1/(i*s*u),b=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var E=0;E<n.inDepth;++E)for(var R=0;R<n.inHeight;++R)for(var I=0;I<n.inWidth;++I){for(var k=E-v,S=R-g,A=I-m,N=0,T=0;T<d;T+=c){var D=(k+T)/r;if(!(D<0||D>=n.outDepth||Math.floor(D)!==D))for(var F=0;F<f;F+=l){var _=(S+F)/o;if(!(_<0||_>=n.outHeight||Math.floor(_)!==_))for(var O=0;O<p;O+=h){var M=(A+O)/a;if(!(M<0||M>=n.outWidth||Math.floor(M)!==M))N+=b.get(w,D,_,M,C)}}}y.set(N*x,w,E,R,I,C)}return y.toTensor()},e.prototype.maxPool3d=function(t,e){return Bh(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},e.prototype.maxPool3dPositions=function(t,e){for(var n=Bn(e.outShape,"int32"),r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,d=e.padInfo.front,f=e.padInfo.top,p=e.padInfo.left,v=this.bufferSync(t),m=0;m<e.batchSize;++m)for(var g=0;g<e.inChannels;++g)for(var y=0;y<e.outDepth;++y){for(var x=y*r-d,b=x;b<0;)b+=i;for(var w=Math.min(e.inDepth,c+x),C=0;C<e.outHeight;++C){for(var E=C*o-f,R=E;R<0;)R+=s;for(var I=Math.min(e.inHeight,l+E),k=0;k<e.outWidth;++k){for(var S=k*a-p,A=S;A<0;)A+=u;for(var N=Math.min(e.inWidth,h+S),T=Number.NEGATIVE_INFINITY,D=-1,F=b;F<w;F+=i)for(var _=F-x,O=R;O<I;O+=s)for(var M=O-E,B=A;B<N;B+=u){var P=B-S,L=v.get(m,F,O,B,g);L>=T&&(T=L,D=_*l*h+M*l+P)}n.set(D,m,y,C,k,g)}}}return n.toTensor()},e.prototype.maxPool3dBackprop=function(t,e,n,r){Bh([e,n],"maxPool3dBackprop");for(var o=this.maxPool3dPositions(e,r),a=r.strideDepth,i=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,h=r.effectiveFilterDepth,d=r.effectiveFilterHeight,f=r.effectiveFilterWidth,p=h-1-r.padInfo.front,v=f-1-r.padInfo.left,m=d-1-r.padInfo.top,g=Bn(e.shape,"float32"),y=this.bufferSync(o),x=this.bufferSync(t),b=0;b<r.batchSize;++b)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var E=0;E<r.inHeight;++E)for(var R=0;R<r.inWidth;++R){for(var I=C-p,k=E-m,S=R-v,A=0,N=0;N<h;N+=u){var T=(I+N)/a;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var D=0;D<d;D+=c){var F=(k+D)/i;if(!(F<0||F>=r.outHeight||Math.floor(F)!==F))for(var _=0;_<f;_+=l){var O=(S+_)/s;if(!(O<0||O>=r.outWidth||Math.floor(O)!==O)){var M=h*d*f-1-y.get(b,T,F,O,w)===N*d*f+D*f+_?1:0;if(0!==M)A+=x.get(b,T,F,O,w)*M}}}}g.set(A,b,C,E,R,w)}return g.toTensor()},e.prototype.cast=function(t,e){return Xo(t,e,this)},e.prototype.reshape=function(t,e){return Yo(t,e)},e.prototype.avgPool=function(t,e){return Bh(t,"avgPool"),Bh(t,"maxPool"),Ph(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"avg").toTensor().toFloat()},e.prototype.resizeBilinear=function(t,e,n,r){Bh(t,"resizeBilinear");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(R([a,e,n,u])),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=0,p=h[0]/d[0],v=h[1]/d[1],m=0;m<a;m++)for(var g=0;g<e;g++)for(var y=p*g,x=Math.floor(y),b=y-x,w=Math.min(i-1,Math.ceil(y)),C=m*t.strides[0]+x*t.strides[1],E=m*t.strides[0]+w*t.strides[1],I=0;I<n;I++)for(var k=v*I,S=Math.floor(k),A=k-S,N=Math.min(s-1,Math.ceil(k)),T=C+S*t.strides[2],D=E+S*t.strides[2],F=C+N*t.strides[2],_=E+N*t.strides[2],O=0;O<u;O++){var M=c[T+O],B=c[D+O],P=M+(c[F+O]-M)*A,L=P+(B+(c[_+O]-B)*A-P)*b;l[f++]=L}return fn(l,[a,e,n,u])},e.prototype.resizeBilinearBackprop=function(t,e,n){Bh([t,e],"resizeBilinearBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),d=[n&&c>1?a-1:a,n&&l>1?i-1:i],f=[n&&c>1?c-1:c,n&&l>1?l-1:l],p=d[0]/f[0],v=d[1]/f[1],m=this.readSync(t.dataId),g=0,y=0;y<o;y++)for(var x=y*e.strides[0],b=0;b<c;b++)for(var w=b*p,C=Math.floor(w),E=Math.min(Math.ceil(w),a-1),R=x+C*e.strides[1],I=x+E*e.strides[1],k=w-C,S=1-k,A=0;A<l;A++)for(var N=A*v,T=Math.floor(N),D=Math.min(Math.ceil(N),i-1),F=N-T,_=1-F,O=R+T*e.strides[2],M=R+D*e.strides[2],B=I+T*e.strides[2],P=I+D*e.strides[2],L=S*_,W=S*F,U=k*_,z=k*F,V=0;V<s;V++){var G=m[g++];h[O+V]+=G*L,h[M+V]+=G*W,h[B+V]+=G*U,h[P+V]+=G*z}return xn(h,[o,i,a,s],e.dtype)},e.prototype.resizeNearestNeighbor=function(t,e,n,r){Bh(t,"resizeNearestNeighbor");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(a*e*n*u),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=h[0]/d[0],p=h[1]/d[1],v=0,m=0;m<a;m++)for(var g=m*t.strides[0],y=0;y<e;y++)for(var x=f*y,b=g+Math.min(i-1,r?Math.round(x):Math.floor(x))*t.strides[1],w=0;w<n;w++)for(var C=p*w,E=b+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],R=0;R<u;R++){var I=c[E+R];l[v++]=I}return fn(l,[a,e,n,u],t.dtype)},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){Bh([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),d=this.readSync(t.dataId),f=[n&&c>1?a-1:a,n&&l>1?i-1:i],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],v=f[0]/p[0],m=f[1]/p[1],g=1/v,y=1/m,x=2*Math.ceil(g)+2,b=2*Math.ceil(y)+2,w=0;w<o;w++)for(var C=w*e.strides[0],E=0;E<a;E++)for(var R=C+E*e.strides[1],I=Math.floor(E*g),k=Math.floor(I-x/2),S=0;S<i;S++)for(var A=R+S*e.strides[2],N=Math.floor(S*y),T=Math.floor(N-b/2),D=0;D<s;D++){for(var F=0,_=0;_<x;_++){var O=_+k;if(!(O<0||O>=c)){var M=C+O*t.strides[1],B=O*v;if(E===Math.min(a-1,n?Math.round(B):Math.floor(B)))for(var P=0;P<b;P++){var L=P+T;if(!(L<0||L>=l)){var W=M+L*t.strides[2],U=L*m;S===Math.min(i-1,n?Math.round(U):Math.floor(U))&&(F+=d[W+D])}}}}h[A+D]=F}return xn(h,e.shape,e.dtype)},e.prototype.batchNormalization=function(t,e,n,r,o,a){Bh([t,e,n,o,a],"batchNorm");for(var i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=o?this.readSync(o.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),h=new Float32Array(i.length),d=l.length,f=c.length,p=u.length,v=s.length,m=0,g=0,y=0,x=0,b=0;b<i.length;++b)h[b]=l[m++]+(i[b]-s[g++])*c[y++]/Math.sqrt(u[x++]+r),m>=d&&(m=0),g>=v&&(g=0),y>=f&&(y=0),x>=p&&(x=0);return xn(h,t.shape)},e.prototype.localResponseNormalization4D=function(t,e,n,r,o){Bh(t,"localResponseNormalization4D");var a=t.shape[3],i=a-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(t){for(var n=t%a,r=t-n+Math.max(0,n-e),o=t-n+Math.min(n+e,i),u=0;r<=o;r++){var c=s[r];u+=c*c}return u}for(var h=0;h<u;h++){var d=l(h),f=s[h]*Math.pow(n+r*d,-o);c[h]=f}return xn(c,t.shape)},e.prototype.LRNGrad=function(t,e,n,r,o,a,i){Bh(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),h=new Float32Array(t.size),d=t.size,f=0;f<d;f++){for(var p=f%s,v=f-p+Math.max(0,p-r),m=f-p+Math.min(s,p+r+1),g=0,y=v;y<m;y++)g+=Math.pow(c[y],2);g=a*g+o;for(y=v;y<m;y++){var x=-2*a*i*c[y]*l[f]/g;f===y&&(x+=Math.pow(g,-i)),x*=u[f],h[y]+=x}}return xn(h,t.shape)},e.prototype.multinomial=function(t,e,n,r){Bh(t,"multinomial");for(var o=e?t:To(t),a=o.shape[0],i=o.shape[1],s=Rn([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(o.dataId),l=0;l<a;++l){var h=l*i,d=new Float32Array(i-1);d[0]=c[h];for(var f=1;f<d.length;++f)d[f]=d[f-1]+c[h+f];for(var p=xu(r.toString()),v=l*n,m=0;m<n;++m){var g=p();u[v+m]=d.length;for(var y=0;y<d.length;y++)if(g<d[y]){u[v+m]=y;break}}}return s},e.prototype.oneHot=function(t,e,n,r){Bh(t,"oneHot");var o=new Float32Array(t.size*e);o.fill(r);for(var a=this.readSync(t.dataId),i=0;i<t.size;++i)a[i]>=0&&a[i]<e&&(o[i*e+a[i]]=n);return gn(o,[t.size,e],"int32")},e.prototype.nonMaxSuppression=function(t,e,n,r,o){return Bh(t,"nonMaxSuppression"),oa(this.readSync(t.dataId),this.readSync(e.dataId),n,r,o)},e.prototype.fft=function(t){return this.fftBatch(t,!1)},e.prototype.ifft=function(t){return this.fftBatch(t,!0)},e.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],o=Bn(t.shape,"float32"),a=Bn(t.shape,"float32"),i=hn(t).as2D(n,r),s=dn(t).as2D(n,r),u=0;u<n;u++)for(var c=i.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),h=ln(c,l),d=this.readSync(this.fftImpl(h,e).dataId),f=0;f<r;f++){var p=Zo(d,f);o.values[u*r+f]=p.real,a.values[u*r+f]=p.imag}return ln(o.toTensor(),a.toTensor()).as2D(n,r)},e.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var o=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(o=ln(hn(o).div(vn(r)),dn(o).div(vn(r)))),o}var a=this.readSync(t.dataId),i=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(a,r,e));return ln(i.real,i.imag).as2D(t.shape[0],t.shape[1])},e.prototype.isExponentOf2=function(t){return 0==(t&t-1)},e.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),o=e/2,a=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=0;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),i=ln(a.real,a.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=2;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),u=ln(s.real,s.imag).as1D();i=this.fftRadix2(i,o,n),u=this.fftRadix2(u,o,n);var c=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),o=0;o<Math.ceil(t/2);o++){var a=(e?2:-2)*Math.PI*(o/t);n[o]=Math.cos(a),r[o]=Math.sin(a)}return{real:n,imag:r}}(e,n),l=ln(c.real,c.imag).mul(u),h=i.add(l),d=i.sub(l),f=hn(h).concat(hn(d)),p=dn(h).concat(dn(d));return ln(f,p).as1D()},e.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),o=0;o<e;o++){for(var a=0,i=0,s=0;s<e;s++){var u=ea(o*s,e,n),c=Zo(t,s);a+=c.real*u.real-c.imag*u.imag,i+=c.real*u.imag+c.imag*u.real}n&&(a/=e,i/=e),ta(r,a,i,o)}return r},e.prototype.depthToSpace=function(t,e,n){b("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),b(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));for(var r=t.shape[0],o=t.shape[1],a=t.shape[2],i=t.shape[3],s=o*e,u=a*e,c=i/(e*e),l=this.readSync(t.dataId),h=new Float32Array(r*s*u*c),d=0,f=0;f<r;++f)for(var p=0;p<s;++p)for(var v=Math.floor(p/e),m=p%e,g=0;g<u;++g)for(var y=Math.floor(g/e),x=(m*e+g%e)*c,w=0;w<c;++w){var C=w+x+i*(y+a*(v+o*f));h[d++]=l[C]}return xn(h,[r,s,u,c])},e.prototype.broadcastedBinaryOp=function(t,e,n,r){var o=hr(t.shape,e.shape),a=Bn(o,n),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=cr(t.shape,o),c=cr(e.shape,o),l=a.values;if(u.length+c.length===0)for(var h=0;h<l.length;++h)l[h]=r(i[h%i.length],s[h%s.length]);else{var d=this.bufferSync(t),f=this.bufferSync(e),p=function(n){var o=a.indexToLoc(n),h=o.slice(-t.rank);u.forEach((function(t){return h[t]=0}));var p=d.locToIndex(h),v=o.slice(-e.rank);c.forEach((function(t){return v[t]=0}));var m=f.locToIndex(v);l[n]=r(i[p],s[m])};for(h=0;h<l.length;++h)p(h)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=hr(t.shape,e.shape),o=Bn(r,"float32"),a=Bn(r,"float32"),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=cr(t.shape,r),c=cr(e.shape,r),l=o.values,h=a.values;if(u.length+c.length===0)for(var d=0;d<l.length;d++){var f=d%i.length,p=d%s.length,v=n(i[2*f],i[2*f+1],s[2*p],s[2*p+1]);l[d]=v.real,h[d]=v.imag}else{var m=this.bufferSync(this.data.get(t.dataId).complexTensors.real),g=this.bufferSync(this.data.get(e.dataId).complexTensors.real),y=function(r){var a=o.indexToLoc(r),d=a.slice(-t.rank);u.forEach((function(t){return d[t]=0}));var f=m.locToIndex(d),p=a.slice(-e.rank);c.forEach((function(t){return p[t]=0}));var v=g.locToIndex(p),y=n(i[2*f],i[2*f+1],s[2*v],s[2*v+1]);l[r]=y.real,h[r]=y.imag};for(d=0;d<l.length;d++)y(d)}return this.complex(o.toTensor(),a.toTensor())},e.prototype.split=function(t,e,n){return la(t,e,n)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.epsilon=function(){return 1e-7},e.prototype.cropAndResize=function(t,e,n,r,o,a){for(var i=t.shape,s=i[0],u=i[1],c=i[2],l=i[3],h=e.shape[0],d=r[0],f=r[1],p=Bn([h,d,f,l],"float32"),v=this.readSync(e.dataId),m=this.readSync(n.dataId),g=this.readSync(t.dataId),y=t.strides,x=p.strides,b=0;b<h;b++){var w=4*b,C=v[w],E=v[w+1],R=v[w+2],I=v[w+3],k=m[b];if(!(k>=s))for(var S=d>1?(R-C)*(u-1)/(d-1):0,A=f>1?(I-E)*(c-1)/(f-1):0,N=0;N<d;N++){var T=d>1?C*(u-1)+N*S:.5*(C+R)*(u-1);if(T<0||T>u-1)for(var D=0;D<f;D++)for(var F=0;F<l;F++){var _=F+D*x[2]+N*x[1]+b*x[0];p.values[_]=a}else if("bilinear"===o){var O=Math.floor(T),M=Math.ceil(T),B=T-O;for(D=0;D<f;D++){if((q=f>1?E*(c-1)+D*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++){_=F+D*x[2]+N*x[1]+b*x[0];p.values[_]=a}else{var P=Math.floor(q),L=Math.ceil(q),W=q-P;for(F=0;F<l;F++){var U=g[_=F+P*y[2]+O*y[1]+k*y[0]],z=g[_=F+L*y[2]+O*y[1]+k*y[0]],V=g[_=F+P*y[2]+M*y[1]+k*y[0]],G=U+(z-U)*W,H=V+(g[_=F+L*y[2]+M*y[1]+k*y[0]]-V)*W;_=F+D*x[2]+N*x[1]+b*x[0],p.values[_]=G+(H-G)*B}}}}else for(D=0;D<f;++D){var q;if((q=f>1?E*(c-1)+D*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++){_=F+D*x[2]+N*x[1]+b*x[0];p.values[_]=a}else{var K=Math.round(q),j=Math.round(T);for(F=0;F<l;F++){var X=F+K*y[2]+j*y[1]+k*y[0],Y=F+D*x[2]+N*x[1]+b*x[0];p.values[Y]=g[X]}}}}}return p.toTensor()},e.prototype.sparseToDense=function(t,e,n,r){var o=go(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.sliceSize,u=o.strides,c=o.outputSize;return this.scatter(t,e,n,c,s,i,a,u,r,!1)},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=lo(t,e),a=o[0],i=o[1],s=o[2],u=o[3];if(0===i)return fn([],a,t.dtype);for(var c=new vt([i,s],t.dtype),l=this.readSync(e.dataId),h=this.readSync(t.dataId),d=0;d<i;d++){for(var f=[],p=0,v=0;v<r;v++){var m=l[d*r+v];p+=m*u[v],f.push(m)}if(p<0||p>=t.size/s)throw new Error("Invalid indices: "+f+" does not index into "+t.shape);for(var g=0;g<s;g++)c.values[d*s+g]=h[p*s+g]}return c.toTensor().reshape(a)},e.prototype.scatterND=function(t,e,n){var r=go(0,t,n),o=r.sliceRank,a=r.numUpdates,i=r.sliceSize,s=r.strides,u=r.outputSize,c=vn(0);return this.scatter(t,e,n,u,i,a,o,s,c,!0)},e.prototype.fill=function(t,e,n){var r=M(n=n||q(e),R(t));return r.fill(e),Bt.makeTensor(r,t,n,this)},e.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(t.shape,1,t.dtype)},e.prototype.zerosLike=function(t){var e=M(t.dtype,R(t.shape));return this.makeOutput(e,t.shape,t.dtype)},e.prototype.linspace=function(t,e,n){return $o(t,e,n)},e.prototype.scatter=function(t,e,n,r,o,a,i,s,u,c){var l=[r/o,o],h=this.readSync(t.dataId),d=this.readSync(e.dataId);if(0===r)return fn([],n,e.dtype);var f=new vt(l,e.dtype);f.values.fill(this.readSync(u.dataId)[0]);for(var p=0;p<a;p++){for(var v=[],m=0,g=0;g<i;g++){var y=h[p*i+g];v.push(y),m+=y*s[g]}if(m<0||m>=r/o)throw new Error("Invalid indices: "+v+" does not index into "+n);for(var x=0;x<o;x++)c?f.values[m*o+x]+=d[p*o+x]:f.values[m*o+x]=0===e.rank?d[0]:d[p*o+x]}return f.toTensor().reshape(n)},e}(Oo);function zh(t,e){return{kernelName:t,backendName:"cpu",kernelFunc:function(n){var r=n.inputs,o=n.backend,a=r,i=a.a,s=a.b,u=o;Bh([i,s],t);var c=u.data.get(i.dataId).values,l=u.data.get(s.dataId).values,h=e(i.shape,s.shape,c,l,i.dtype),d=h[0],f=h[1];return{dataId:u.write(d,f,i.dtype),shape:f,dtype:i.dtype}}}}function Vh(t){return function(e,n,r,o,a){var i=hr(e,n),s=i.length,u=X(i),c=O(a,R(i)),l=e.length,h=n.length,d=X(e),f=X(n),p=cr(e,i),v=cr(n,i);if(p.length+v.length===0)for(var m=0;m<c.length;++m)c[m]=t(r[m%r.length],o[m%o.length]);else{var g=function(e){var n=ot(e,s,u),a=n.slice(-l);p.forEach((function(t){return a[t]=0}));var i=rt(a,l,d),m=n.slice(-h);v.forEach((function(t){return m[t]=0}));var g=rt(m,h,f);c[e]=t(r[i],o[g])};for(m=0;m<c.length;++m)g(m)}return[c,i]}}Bt.registerBackend("cpu",(function(){return new Uh}),1);var Gh=Vh((function(t,e){return t/e})),Hh=zh(er,Gh);var qh={kernelName:"MaxPoolWithArgmax",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n,i=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;Bh(o,"MaxPoolWithArgmax");var h=l.data.get(o.dataId).values,d=Bo(o.shape,i,s,[1,1],u),f=function(t,e,n,r,o){var a=Ph(t,0,n,X(e),o,"max"),i=Lh(t,e,n,o,!0,r);return[a.values,i.values]}(h,o.shape,o.dtype,c,d),p=f[0],v=f[1],m=l.write(p,d.outShape,o.dtype),g=l.write(v,d.outShape,o.dtype);return[{dataId:m,shape:d.outShape,dtype:o.dtype},{dataId:g,shape:d.outShape,dtype:"int32"}]}},Kh={kernelName:"NonMaxSuppressionV5",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,o=e,a=o.boxes,i=o.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,h=s.softNmsSigma,d=n;Bh(a,"NonMaxSuppressionWithScore");var f=aa(d.data.get(a.dataId).values,d.data.get(i.dataId).values,u,c,l,h);return[f.selectedIndices,f.selectedScores]}},jh={kernelName:"Square",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n;Bh(r,"square");for(var a=o.data.get(r.dataId).values,i=new Float32Array(a.length),s=0;s<a.length;++s){var u=a[s];i[s]=u*u}return{dataId:o.write(i,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},Xh=Vh((function(t,e){var n=t-e;return n*n}));function Yh(t,e,n,r,o){for(var a=R(e),i=e.length,s=X(e),u=X(o),c=O(n,R(o)),l=0;l<a;++l){for(var h=ot(l,i,s),d=new Array(h.length),f=0;f<d.length;f++)d[f]=h[r[f]];c[rt(d,i,u)]=t[l]}return c}for(var $h=0,Qh=[Kh,jh,zh(nr,Xh),Hh,{kernelName:"Transpose",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n.perm,i=r;Bh(o,"transpose");for(var s=o.shape.length,u=new Array(s),c=0;c<u.length;c++)u[c]=o.shape[a[c]];var l=Yh(i.data.get(o.dataId).values,o.shape,o.dtype,a,u);return{dataId:i.write(l,u,o.dtype),shape:u,dtype:o.dtype}}},qh];$h<Qh.length;$h++){f(Qh[$h])}var Jh,Zh=function(t){this.variableNames=["A"];var e=xa(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+e.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},td=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=xa(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+e.output+" = result;\n      }\n    "};var ed=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var o=Fa(this.rank),a=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),o=0;o<t.length;o++)r[t[o]]=n[o];return r.join()}(e);this.userCode="\n    void main() {\n      "+o+" resRC = getOutputCoords();\n      setOutput(getA("+a+"));\n    }\n    "};var nd=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var o=Fa(this.rank),a=ga("rc",this.rank),i=new Array(this.rank);for(r=0;r<e.length;r++)i[e[r]]=a[r];var s="vec2("+i.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+i.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+o+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "};for(var rd=0,od=[{kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,o=e.pixels,a=r.numChannels,i="undefined"!=typeof HTMLVideoElement&&o instanceof HTMLVideoElement,u="undefined"!=typeof HTMLImageElement&&o instanceof HTMLImageElement,c=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],l=c[0],h=c[1],d=[h,l],f=[h,l,a];(u||i)&&(null==Jh&&(Jh=document.createElement("canvas").getContext("2d")),Jh.canvas.width=l,Jh.canvas.height=h,Jh.drawImage(o,0,0,l,h),o=Jh.canvas);var p=n.makeTensorInfo(d,"int32");n.texData.get(p.dataId).usage=Ut.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(p.dataId),o);var v=s().getBool("WEBGL_PACK")?new td(f):new Zh(f),m=n.runWebGLProgram(v,[p],"int32");return n.disposeData(p.dataId),m}},{kernelName:er,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e;return function(t,e,n){var r=new Xa(Ka,t.shape,e.shape);return s().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&(r=new Qa(Ya,t.shape,e.shape,!0)),n.runWebGLProgram(r,[t,e],"float32")}(r.a,r.b,n)}},{kernelName:"NonMaxSuppressionV5",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs;je("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var o=e,a=o.boxes,i=o.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,h=s.softNmsSigma,d=n,f=aa(d.readSync(a.dataId),d.readSync(i.dataId),u,c,l,h);return[f.selectedIndices,f.selectedScores]}},{kernelName:"Square",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n,a=new _s(r.shape,"return x * x;");return o.runWebGLProgram(a,[r],r.dtype)}},{kernelName:nr,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e,o=r.a,a=r.b,i=n,u=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("return (a - b) * (a - b);",o.shape,a.shape):new Xa("return (a - b) * (a - b);",o.shape,a.shape);return i.compileAndRun(u,[o,a])}},{kernelName:"Transpose",backendName:"webgl",kernelFunc:function(t){for(var e,n=t.inputs,r=t.attrs,o=t.backend,a=n.x,i=r.perm,u=o,c=a.shape.length,l=new Array(c),h=0;h<l.length;h++)l[h]=a.shape[i[h]];if(u.shouldExecuteOnCPU([a])){var d=Yh(u.texData.get(a.dataId).values,a.shape,a.dtype,i,l);e=u.makeTensorInfo(l,a.dtype),u.texData.get(e.dataId).values=d}else e=function(t,e,n){var r=s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new nd(t.shape,e):new ed(t.shape,e);return n.runWebGLProgram(r,[t],t.dtype)}(a,i,u);return e}},{kernelName:"MaxPoolWithArgmax",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n,i=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;b(4===o.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+o.shape.length+"."}));var h=[1,1];b(Ko(s,h),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+s+" and dilations '"+h+"'"}));var d=Bo(o.shape,i,s,h,u),f=function(t,e,n,r){var o=new cs(n,"max",!1),a=r.runWebGLProgram(o,[t],"float32");return o=new cs(n,"max",!0,!0,e),[a,r.runWebGLProgram(o,[t],"float32")]}(o,c,d,l);return[f[0],f[1]]}}];rd<od.length;rd++){f(od[rd])}for(var ad=0,id=[{kernelName:tr,inputsToSave:["a","b"],gradFunc:function(t,e){var n=e[0],r=e[1],o=hr(n.shape,r.shape);return{a:function(){var e=t,r=lr(n.shape,o);return r.length>0&&(e=e.sum(r)),e.reshape(n.shape)},b:function(){var e=t,n=lr(r.shape,o);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)}}}},{kernelName:"AddN",saveAllInputs:!0,gradFunc:function(t,e){var n={};return e.forEach((function(e,r){n[r]=function(){return t.clone()}})),n}},{kernelName:rr,gradFunc:function(t,e,n){for(var r=n,o=r.inputShape,a=r.shape,i=Array.from(a),s=o.length-1;s>=0;s--)if(o[s]===a[s])i[s]=1;else if(1!==o[s])throw new Error("broadcastTo(): ["+o+"] cannot be broadcast to ["+a+"].");var u=[];for(s=0;s<i.length;s++)i[s]>1&&u.push(s);return{x:function(){return t.sum(u,!0)}}}},{kernelName:er,inputsToSave:["a","b"],gradFunc:function(t,e){var n=e[0],r=e[1],o=hr(n.shape,r.shape);return{a:function(){var e=co(t,r.toFloat()),a=lr(n.shape,o);return a.length>0?Rl(e,a).reshape(n.shape):e},b:function(){var e=t.mul(n.toFloat()),a=lr(r.shape,o);a.length>0&&(e=Rl(e,a).reshape(r.shape));var i=fc(r);return Tr(co(e,i.toFloat()))}}}},{kernelName:"FusedBatchNorm",inputsToSave:["x","mean","variance","scale"],gradFunc:function(t,e,n){var r=n.varianceEpsilon,o=e[0],a=e[1],i=e[2],s=e[3],u=Cu(o),c=null==s?vn(1):s,l=lr(a.shape,u.shape),h=[];if(1===a.rank){for(var d=0;d<u.shape.length-1;++d)h.push(u.shape[d]);h.push(1)}var f=so(o,a),p=no(t,c),v=_r(ur(i,vn(r))),m=no(no(no(v,v),v),vn(-.5));return{x:function(){return 1===a.rank?Gn(no(no(t,qu(v.as4D(1,1,1,a.shape[0]),h)),c),o.shape):Gn(no(no(t,v),c),o.shape)},mean:function(){var t=no(no(v,vn(-1)),p);return 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t.prototype.listModels=function(){return r(this,void 0,void 0,(function(){var t=this;return o(this,(function(e){return[2,new Promise((function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return Ad(r)},r.onsuccess=function(){var t=r.result,o=t.transaction(kd,"readonly"),a=o.objectStore(kd).getAll();a.onsuccess=function(){for(var t={},n=0,r=a.result;n<r.length;n++){var o=r[n];t[o.modelPath]=o.modelArtifactsInfo}e(t)},a.onerror=function(e){return t.close(),n(a.error)},o.oncomplete=function(){return t.close()}},r.onerror=function(t){return n(r.error)}}))]}))}))},t.prototype.removeModel=function(t){return r(this,void 0,void 0,(function(){var e=this;return o(this,(function(n){var r;return t=(r=t).startsWith(Nd.URL_SCHEME)?r.slice(Nd.URL_SCHEME.length):r,[2,new Promise((function(n,r){var o=e.indexedDB.open("tensorflowjs",1);o.onupgradeneeded=function(){return Ad(o)},o.onsuccess=function(){var 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o=Bt.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:He((function(){return Nn(o).variable(!1)}))}),null==e.accumulatedUpdates[r]&&(e.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:He((function(){return Nn(o).variable(!1)}))});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var i=e.accumulatedGrads[r].variable,s=e.accumulatedUpdates[r].variable;He((function(){var t=i.mul(e.rho).add(a.square().mul(1-e.rho)),n=s.add(e.epsilon).sqrt().div(i.add(e.epsilon).sqrt()).mul(a),r=s.mul(e.rho).add(n.square().mul(1-e.rho));i.assign(t),s.assign(r);var u=n.mul(-e.learningRate).add(o);o.assign(u)}))}})),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedUpdates&&(qe(this.accumulatedGrads.map((function(t){return t.variable}))),qe(this.accumulatedUpdates.map((function(t){return t.variable}))))},e.prototype.getWeights=function(){return r(this,void 0,void 0,(function(){var t;return 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r.learningRate=e,r.initialAccumulatorValue=n,r.accumulatedGrads=[],r}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map((function(t){return t.name})):Object.keys(t)).forEach((function(n,r){var o=Bt.registeredVariables[n];if(null==e.accumulatedGrads[r]){e.accumulatedGrads[r]={originalName:n+"/accumulator",variable:He((function(){return In(o.shape,e.initialAccumulatorValue).variable(!1)}))}}var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var i=e.accumulatedGrads[r].variable;He((function(){var t=i.add(a.square());i.assign(t);var n=a.div(t.add(Bt.backend.epsilon()).sqrt()).mul(-e.learningRate).add(o);o.assign(n)}))}})),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedGrads&&qe(this.accumulatedGrads.map((function(t){return t.variable})))},e.prototype.getWeights=function(){return r(this,void 0,void 0,(function(){return o(this,(function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 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n(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map((function(t){return t.name})):Object.keys(t);He((function(){var r=so(1,e.accBeta1),o=so(1,e.accBeta2);n.forEach((function(n,a){var i=Bt.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:He((function(){return Nn(i).variable(!1)}))}),null==e.accumulatedSecondMoment[a]&&(e.accumulatedSecondMoment[a]={originalName:n+"/v",variable:He((function(){return Nn(i).variable(!1)}))});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,c=e.accumulatedSecondMoment[a].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),h=c.mul(e.beta2).add(s.square().mul(1-e.beta2)),d=l.div(r),f=h.div(o);u.assign(l),c.assign(h);var p=d.div(f.sqrt().add(e.epsilon)).mul(-e.learningRate).add(i);i.assign(p)}})),e.accBeta1.assign(e.accBeta1.mul(e.beta1)),e.accBeta2.assign(e.accBeta2.mul(e.beta2))})),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&qe(this.accumulatedFirstMoment.map((function(t){return t.variable}))),null!=this.accumulatedSecondMoment&&qe(this.accumulatedSecondMoment.map((function(t){return t.variable})))},e.prototype.getWeights=function(){return r(this,void 0,void 0,(function(){var t;return o(this,(function(e){switch(e.label){case 0:return t=this.accumulatedFirstMoment.concat(this.accumulatedSecondMoment),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map((function(t){return{name:t.originalName,tensor:t.variable}})))]}}))}))},e.prototype.setWeights=function(t){return r(this,void 0,void 0,(function(){var e,n=this;return o(this,(function(r){switch(r.label){case 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o=Bt.registeredVariables[n];if(null==e.accumulations[r]){e.accumulations[r]={originalName:n+"/momentum",variable:He((function(){return Nn(o).variable(!1)}))}}var a=e.accumulations[r].variable,i=Array.isArray(t)?t[r].tensor:t[n];null!=i&&He((function(){var t,n=e.m.mul(a).add(i);t=e.useNesterov?e.c.mul(i.add(n.mul(e.m))).add(o):e.c.mul(n).add(o),a.assign(n),o.assign(t)}))})),this.incrementIterations()},e.prototype.dispose=function(){this.m.dispose(),null!=this.accumulations&&qe(this.accumulations.map((function(t){return t.variable})))},e.prototype.setMomentum=function(t){this.momentum=t},e.prototype.getWeights=function(){return r(this,void 0,void 0,(function(){return o(this,(function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(this.accumulations.map((function(t){return{name:t.originalName,tensor:t.variable}})))]}}))}))},e.prototype.setWeights=function(t){return r(this,void 0,void 0,(function(){return o(this,(function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:return t=e.sent(),!1,this.accumulations=t.map((function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}})),[2]}}))}))},e.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},e.fromConfig=function(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)},e.className="Momentum",e}(Cf);pf(Ef);var Rf=function(t){function e(e,n,r,o,a){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===o&&(o=null),void 0===a&&(a=!1);var i=t.call(this)||this;if(i.learningRate=e,i.decay=n,i.momentum=r,i.epsilon=o,i.accumulatedMeanSquares=[],i.accumulatedMoments=[],i.accumulatedMeanGrads=[],i.centered=a,null==o&&(i.epsilon=Bt.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.");return i}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map((function(t){return t.name})):Object.keys(t)).forEach((function(n,r){var o=Bt.registeredVariables[n];null==e.accumulatedMeanSquares[r]&&(e.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:He((function(){return Nn(o).variable(!1)}))}),null==e.accumulatedMoments[r]&&(e.accumulatedMoments[r]={originalName:n+"/momentum",variable:He((function(){return Nn(o).variable(!1)}))}),null==e.accumulatedMeanGrads[r]&&e.centered&&(e.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:He((function(){return Nn(o).variable(!1)}))});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var i=e.accumulatedMeanSquares[r].variable,s=e.accumulatedMoments[r].variable;He((function(){var t=i.mul(e.decay).add(a.square().mul(1-e.decay));if(e.centered){var n=e.accumulatedMeanGrads[r].variable,u=n.mul(e.decay).add(a.mul(1-e.decay)),c=s.mul(e.momentum).add(a.mul(e.learningRate).div(t.sub(u.square().add(e.epsilon)).sqrt()));i.assign(t),n.assign(u),s.assign(c);var l=o.sub(c);o.assign(l)}else{var h=i.mul(e.decay).add(a.square().mul(1-e.decay));c=s.mul(e.momentum).add(a.mul(e.learningRate).div(h.add(e.epsilon).sqrt()));i.assign(h),s.assign(c);l=o.sub(c);o.assign(l)}}))}})),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedMeanSquares&&qe(this.accumulatedMeanSquares.map((function(t){return t.variable}))),null!=this.accumulatedMeanGrads&&this.centered&&qe(this.accumulatedMeanGrads.map((function(t){return t.variable}))),null!=this.accumulatedMoments&&qe(this.accumulatedMoments.map((function(t){return t.variable})))},e.prototype.getWeights=function(){return r(this,void 0,void 0,(function(){var t;return o(this,(function(e){switch(e.label){case 0:return t=this.accumulatedMeanSquares.concat(this.accumulatedMoments),this.centered&&t.push.apply(t,this.accumulatedMeanGrads),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map((function(t){return{name:t.originalName,tensor:t.variable}})))]}}))}))},e.prototype.setWeights=function(t){return r(this,void 0,void 0,(function(){var e;return o(this,(function(n){switch(n.label){case 0:return[4,this.extractIterations(t)];case 1:return t=n.sent(),e=this.centered?t.length/3:t.length/2,!1,this.accumulatedMeanSquares=t.slice(0,e).map((function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}})),this.accumulatedMoments=t.slice(e,2*e).map((function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}})),this.centered&&(this.accumulatedMeanGrads=t.slice(2*e,3*e).map((function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}))),[2]}}))}))},e.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},e.fromConfig=function(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)},e.className="RMSProp",e}(gf);pf(Rf);var If=function(){function t(){}return t.sgd=function(t){return new Cf(t)},t.momentum=function(t,e,n){return void 0===n&&(n=!1),new Ef(t,e,n)},t.rmsprop=function(t,e,n,r,o){return void 0===e&&(e=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===o&&(o=!1),new Rf(t,e,n,r,o)},t.adam=function(t,e,n,r){return void 0===t&&(t=.001),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),new bf(t,e,n,r)},t.adadelta=function(t,e,n){return void 0===t&&(t=.001),void 0===e&&(e=.95),void 0===n&&(n=null),new yf(t,e,n)},t.adamax=function(t,e,n,r,o){return void 0===t&&(t=.002),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===o&&(o=0),new wf(t,e,n,r,o)},t.adagrad=function(t,e){return void 0===e&&(e=.1),new xf(t,e)},t}(),kf={sgd:If.sgd,momentum:If.momentum,adadelta:If.adadelta,adagrad:If.adagrad,rmsprop:If.rmsprop,adamax:If.adamax,adam:If.adam},Sf="undefined"!=typeof requestAnimationFrame?requestAnimationFrame:"undefined"!=typeof setImmediate?setImmediate:function(t){return t()};xt.prototype.add=function(t){return ur(this,t)},xt.prototype.broadcastTo=function(t){return 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this.throwIfDisposed(),gt.isFinite(this)},t.prototype.exp=function(){return this.throwIfDisposed(),gt.exp(this)},t.prototype.expm1=function(){return this.throwIfDisposed(),gt.expm1(this)},t.prototype.log=function(){return this.throwIfDisposed(),gt.log(this)},t.prototype.log1p=function(){return this.throwIfDisposed(),gt.log1p(this)},t.prototype.sqrt=function(){return this.throwIfDisposed(),gt.sqrt(this)},t.prototype.rsqrt=function(){return this.throwIfDisposed(),gt.rsqrt(this)},t.prototype.square=function(){return this.throwIfDisposed(),gt.square(this)},t.prototype.reciprocal=function(){return this.throwIfDisposed(),gt.reciprocal(this)},t.prototype.abs=function(){return this.throwIfDisposed(),gt.abs(this)},t.prototype.clipByValue=function(t,e){return this.throwIfDisposed(),gt.clipByValue(this,t,e)},t.prototype.relu=function(){return this.throwIfDisposed(),gt.relu(this)},t.prototype.relu6=function(){return this.throwIfDisposed(),gt.relu6(this)},t.prototype.elu=function(){return this.throwIfDisposed(),gt.elu(this)},t.prototype.selu=function(){return this.throwIfDisposed(),gt.selu(this)},t.prototype.leakyRelu=function(t){return void 0===t&&(t=.2),this.throwIfDisposed(),gt.leakyRelu(this,t)},t.prototype.prelu=function(t){return this.throwIfDisposed(),gt.prelu(this,t)},t.prototype.sigmoid=function(){return this.throwIfDisposed(),gt.sigmoid(this)},t.prototype.logSigmoid=function(){return this.throwIfDisposed(),gt.logSigmoid(this)},t.prototype.softplus=function(){return this.throwIfDisposed(),gt.softplus(this)},t.prototype.zerosLike=function(){return this.throwIfDisposed(),gt.zerosLike(this)},t.prototype.onesLike=function(){return this.throwIfDisposed(),gt.onesLike(this)},t.prototype.sin=function(){return this.throwIfDisposed(),gt.sin(this)},t.prototype.cos=function(){return this.throwIfDisposed(),gt.cos(this)},t.prototype.tan=function(){return this.throwIfDisposed(),gt.tan(this)},t.prototype.asin=function(){return this.throwIfDisposed(),gt.asin(this)},t.prototype.acos=function(){return this.throwIfDisposed(),gt.acos(this)},t.prototype.atan=function(){return this.throwIfDisposed(),gt.atan(this)},t.prototype.sinh=function(){return this.throwIfDisposed(),gt.sinh(this)},t.prototype.cosh=function(){return this.throwIfDisposed(),gt.cosh(this)},t.prototype.tanh=function(){return this.throwIfDisposed(),gt.tanh(this)},t.prototype.asinh=function(){return this.throwIfDisposed(),gt.asinh(this)},t.prototype.acosh=function(){return this.throwIfDisposed(),gt.acosh(this)},t.prototype.atanh=function(){return this.throwIfDisposed(),gt.atanh(this)},t.prototype.erf=function(){return this.throwIfDisposed(),gt.erf(this)},t.prototype.round=function(){return this.throwIfDisposed(),gt.round(this)},t.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),gt.step(this,t)},t.prototype.softmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),gt.softmax(this,t)},t.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),gt.logSoftmax(this,t)},t.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),gt.image.resizeBilinear(this,t,e)},t.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),gt.image.resizeNearestNeighbor(this,t,e)},t.prototype.conv1d=function(t,e,n,r,o,a){return void 0===r&&(r="NWC"),void 0===o&&(o=1),this.throwIfDisposed(),gt.conv1d(this,t,e,n,r,o,a)},t.prototype.conv2d=function(t,e,n,r,o,a){return void 0===r&&(r="NHWC"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),gt.conv2d(this,t,e,n,r,o,a)},t.prototype.conv2dTranspose=function(t,e,n,r,o){return this.throwIfDisposed(),gt.conv2dTranspose(this,t,e,n,r,o)},t.prototype.depthwiseConv2D=function(t,e,n,r,o,a){return void 0===r&&(r="NHWC"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),gt.depthwiseConv2d(this,t,e,n,r,o,a)},t.prototype.separableConv2d=function(t,e,n,r,o,a){return void 0===o&&(o=[1,1]),void 0===a&&(a="NHWC"),this.throwIfDisposed(),gt.separableConv2d(this,t,e,n,r,o,a)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),gt.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),gt.maxPool(this,t,e,n,r)},t.prototype.localResponseNormalization=function(t,e,n,r){return void 0===t&&(t=5),void 0===e&&(e=1),void 0===n&&(n=1),void 0===r&&(r=.5),gt.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,o){return this.throwIfDisposed(),gt.pool(this,t,e,n,r,o)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),mt().makeVariable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),gt.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),gt.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),gt.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),gt.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,o,a,i,s){return void 0===r&&(r=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),this.throwIfDisposed(),gt.stridedSlice(this,t,e,n,r,o,a,i,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),gt.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),gt.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),gt.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),gt.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),gt.spectral.irfft(this)},t}();Object.defineProperty(xt,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var bt,wt,Ct,Et,Rt,It=function(t){function e(e,n,r,o){var a=t.call(this,e.shape,e.dtype,e.dataId,o)||this;return a.trainable=n,a.name=r,a}return n(e,t),e.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!I(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");mt().disposeTensor(this),this.dataId=t.dataId,mt().incRef(this,null)},e.prototype.dispose=function(){mt().disposeVariable(this),this.isDisposedInternal=!0},e}(xt);Object.defineProperty(It,Symbol.hasInstance,{value:function(t){return t instanceof xt&&null!=t.assign&&t.assign instanceof Function}}),(bt=t.Rank||(t.Rank={})).R0="R0",bt.R1="R1",bt.R2="R2",bt.R3="R3",bt.R4="R4",bt.R5="R5",bt.R6="R6",function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(wt||(wt={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(Ct||(Ct={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(Et||(Et={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(Rt||(Rt={}));var kt={float32:Et,int32:wt,bool:Ct,complex64:Rt};function St(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return kt[t][e]}function At(t){return St(t,"int32")}function Nt(t,e){if(t.dtype===e.dtype)return[t,e];var n=St(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function Tt(t,e){b(t.dtype===e.dtype,(function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"}))}function Dt(t){var e=[];return function t(e,n,r){if(null==e)return;if(e instanceof xt)return void n.push(e);if(o=e,!Array.isArray(o)&&"object"!=typeof o)return;var o;var a=e;for(var i in a){var s=a[i];r.has(s)||(r.add(s),t(s,n,r))}}(t,e,new Set),e}var Ft,_t=Object.freeze({makeTypesMatch:Nt,assertTypesMatch:Tt,isTensorInList:function(t,e){return e.some((function(e){return e.id===t.id}))},getTensorsInContainer:Dt}),Ot=function(){function t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),Mt=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ot}return t.prototype.ready=function(){return r(this,void 0,void 0,(function(){var t,e,n;return o(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return r(this,void 0,void 0,(function(){var e,n,r;return o(this,(function(o){switch(o.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return r=o.sent(),[3,3];case 2:r=n,o.label=3;case 3:if(!r)return[2,!1];o.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new it(this.backendInstance),[2,!0]}}))}))},t.prototype.setupRegisteredKernels=function(){var t=this;d(this.backendName).forEach((function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)}))},t.prototype.disposeRegisteredKernels=function(t){var e=this;d(t).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])}))},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var o=++this.pendingBackendInitId,a=r.then((function(n){return!(o<e.pendingBackendInitId)&&(e.registry[t]=n,e.pendingBackendInit=null,!0)})).catch((function(n){return!(o<e.pendingBackendInitId)&&(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),!1)}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority}))},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),o=r.success,a=r.asyncInit;if(a||o)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,o=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,o=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=t}return this.scopedRun((function(){return r.startScope(o)}),(function(){return r.endScope(n)}),(function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],(function(t){return{x:function(){return t.toFloat()}}}),[],{}),e},t.prototype.runKernel=function(t,e,n,r,o){return this.runKernelFunc(null,e,null,t,n,r,o)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),o=0;n.forEach((function(t){o+="complex64"===t.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-e-o-a;if(i>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+i+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,o,a,i){var s,u=this,c=[],h=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var d,f=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var v,m=l(r,this.backendName);if(null!=m)d=function(){var t=u.backend.numDataIds();v=m.kernelFunc({inputs:e,attrs:o,backend:u.backend});var n=Array.isArray(v)?v:[v];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map((function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)}));if(h){var l=u.getTensorsForGradient(r,e,s);if(null==l){null==i&&(i=[]);var d=s.filter((function(t,e){return i[e]}));l=(a||[]).slice().concat(d)}c=u.saveTensorsForBackwardMode(l)}return s};else{var g=function(t){h&&(c=t.map((function(t){return u.keep(u.clone(t))})))};d=function(){var e=u.backend.numDataIds();v=u.tidy((function(){return t(u.backend,g)}));var n=Array.isArray(v)?v:[v];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n}}return this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,(function(){return d()})):d()})),h&&this.addTapeNode(r,e,s,n,c,o),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-f,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map((function(t){return e[t].shape})),outputShapes:s.map((function(t){return t.shape}))}),Array.isArray(v)?s:s[0]},t.prototype.saveTensorsForBackwardMode=function(t){var e=this;return t.map((function(t){return e.keep(e.clone(t))}))},t.prototype.getTensorsForGradient=function(t,e,n){var r=h(t);if(null!=r){var o=r.inputsToSave||[],a=r.outputsToSave||[],i=void 0;r.saveAllInputs?(b(Array.isArray(e),(function(){return"saveAllInputs is true, expected inputs to be an array."})),i=Object.keys(e).map((function(t){return e[t]}))):i=o.map((function(t){return e[t]}));var s=n.filter((function(t,e){return a[e]}));return i.concat(s)}return null},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var o=t;"string"===n&&V(t[0])&&(o=t.map((function(t){return et(t)})));var a=r.write(o,e,n),i=new xt(e,n,a,this.nextTensorId());if(this.incRef(i,r),"string"===n){var s=this.state.tensorInfo.get(a),u=z(o);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},t.prototype.makeTensorFromDataId=function(t,e,n,r){var o=new xt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(o,r),o},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var o=new It(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[o.name])throw new Error("Variable with name "+o.name+" was already registered");return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o},t.prototype.incRef=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*U(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof It||this.track(t)},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return r(this,void 0,void 0,(function(){var e,n;return o(this,(function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(t){return t.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n,r,o,a){var i=this,s={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:o},u=h(t);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(t){return t=t.map((function(t,e){if(null==t){var r=n[e],o=J(r.size,r.dtype);return i.makeTensor(o,r.shape,r.dtype)}return t})),r(t.length>1?t:t[0],o,a)}),this.state.activeTape.push(s)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=Dt(t),r=new Set(n.map((function(t){return t.id}))),o=0;o<this.state.activeScope.track.length;o++){var a=this.state.activeScope.track[o];a.kept||r.has(a.id)||a.dispose()}var i=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(t){t.kept||t.scopeId!==i.id||e.track(t)}))},t.prototype.gradients=function(t,e,n,r){var o=this;if(void 0===r&&(r=!1),b(e.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must 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Mo("log")},t.prototype.log1p=function(t){return Mo("log1p")},t.prototype.sqrt=function(t){return Mo("sqrt")},t.prototype.rsqrt=function(t){return Mo("rsqrt")},t.prototype.square=function(t){return Mo("square")},t.prototype.reciprocal=function(t){return Mo("reciprocal")},t.prototype.relu=function(t){return Mo("relu")},t.prototype.relu6=function(t){return Mo("relu6")},t.prototype.prelu=function(t,e){return Mo("prelu")},t.prototype.elu=function(t){return Mo("elu")},t.prototype.eluDer=function(t,e){return Mo("eluDer")},t.prototype.selu=function(t){return Mo("selu")},t.prototype.int=function(t){return Mo("int")},t.prototype.clip=function(t,e,n){return Mo("clip")},t.prototype.abs=function(t){return Mo("abs")},t.prototype.complexAbs=function(t){return Mo("complexAbs")},t.prototype.sigmoid=function(t){return Mo("sigmoid")},t.prototype.softplus=function(t){return Mo("softplus")},t.prototype.sin=function(t){return Mo("sin")},t.prototype.cos=function(t){return Mo("cos")},t.prototype.tan=function(t){return Mo("tan")},t.prototype.asin=function(t){return Mo("asin")},t.prototype.acos=function(t){return Mo("acos")},t.prototype.atan=function(t){return Mo("atan")},t.prototype.atan2=function(t,e){return Mo("atan2")},t.prototype.sinh=function(t){return Mo("sinh")},t.prototype.cosh=function(t){return Mo("cosh")},t.prototype.tanh=function(t){return Mo("tanh")},t.prototype.asinh=function(t){return Mo("asinh")},t.prototype.acosh=function(t){return Mo("acosh")},t.prototype.atanh=function(t){return Mo("atanh")},t.prototype.erf=function(t){return Mo("erf")},t.prototype.step=function(t,e){return Mo("step")},t.prototype.fusedConv2d=function(t){t.input,t.filter,t.convInfo,t.bias,t.activation,t.preluActivationWeights;return Mo("fusedConv2d")},t.prototype.conv2d=function(t,e,n){return Mo("conv2d")},t.prototype.conv2dDerInput=function(t,e,n){return Mo("conv2dDerInput")},t.prototype.conv2dDerFilter=function(t,e,n){return 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"+e[1]+" + coords.z;\n  }\n"}var Ca="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n";function Ea(t,e,n,r){var o=[];t.forEach((function(t){var e=R(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?o.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(o.push("uniform sampler2D "+t.name+";"),o.push("uniform int offset"+t.name+";"))}));var a,i,s=o.join("\n"),u=t.map((function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?Ia(t):Ra(t);var o=t.shapeInfo.logicalShape,a=e.logicalShape;o.length<=a.length&&(r+=n?function(t,e){var n,r=t.name,o=r.charAt(0).toUpperCase()+r.slice(1),a="get"+o+"AtOutCoords",i=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=cr(t.shapeInfo.logicalShape,e.logicalShape),c=Fa(s),l=s-i,h=["x","y","z","w","u","v"];n=0===i?"":s<2&&u.length>=1?"coords = 0;":u.map((function(t){return"coords."+h[t+l]+" = 0;"})).join("\n");var d="";d=s<2&&i>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+h[e+l]})).join(", ");var f="return outputValue;",p=1===R(t.shapeInfo.logicalShape),v=1===R(e.logicalShape);if(1!==i||p||v){if(p&&!v)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var m=i-2,g=i-1;u.indexOf(m)>-1&&u.indexOf(g)>-1?f="return vec4(outputValue.x);":u.indexOf(m)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+o+"("+d+");\n      "+f+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),o="get"+r+"AtOutCoords",a=e.texShape,i=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&I(i,a))return"\n      float "+o+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c,l=Fa(u),h=cr(t.shapeInfo.logicalShape,e.logicalShape),d=u-s,f=["x","y","z","w","u","v"];c=0===s?"":u<2&&h.length>=1?"coords = 0;":h.map((function(t){return"coords."+f[t+d]+" = 0;"})).join("\n");var p="";p=u<2&&s>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+f[e+d]})).join(", ");return"\n    float "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+c+"\n      return get"+r+"("+p+");\n    }\n  "}(t,e));return r}(t,e,r)})).join("\n"),c=e.texShape,l=xa(),h=function(t){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+t.texture2D+"(textureSampler, uv).r;\n    }\n  "}(l),d=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+t.defineSpecialNaN+"\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+ka+"\n    "+Sa+"\n    "+Aa+"\n  "}(l);return e.isPacked?(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(1===n[0])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ";if(1===n[1])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(I(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Math.ceil(n[2]/2),i=a*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+o[0]+", "+o[1]+"));\n      int index = resTexRC.x * "+o[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),o=r*Math.ceil(t[t.length-2]/2),a=o,i="",s="b, r, c",u=2;u<t.length-1;u++)a*=t[t.length-u-1],i="\n      int b"+u+" = index / "+a+";\n      index -= b"+u+" * "+a+";\n    "+i,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+i+"\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,o,a,i}(e.logicalShape,c),i=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(l)):(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){if(1===e[0])return"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ";if(1===e[1])return"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){if(I(t,e))return"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ";if(1===t[1])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ";if(1===t[0])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=ba(["r","c","d"],t),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(t,e){var n=ba(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=ba(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=ba(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,c),i=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),r&&(d+=Na),[d,h,i,s,a,u,n].join("\n")}function Ra(t){var e=t.shapeInfo.logicalShape;switch(e.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===o&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=t.shapeInfo.texShape,s=i[0],u=i[1],c=Ta(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+c+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+Da(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===a&&1===o)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=Ta(e);if(1===a)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+i+") + 0.5) / "+o+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ";if(1===o)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+i+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ";return"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+o+", "+a+", index + "+i+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape;if(null!=o&&I(e,o)){var a=o[0],i=o[1];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var s=_(e),u=s.newShape,c=s.keptDims,l=u;if(l.length<e.length){var h=_a(t,l);return"\n      "+Ra(h)+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+Oa(["row","col"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+Da(t)+"\n      }\n    ";var d=o[0],f=o[1],p=Ta(n);if(1===f)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+d+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";if(1===d)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+f+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+p+";\n    vec2 uv = uvFromFlat("+d+", "+f+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[1]*e[2],a=e[2],i=_(e),s=i.newShape,u=i.keptDims,c=s;if(c.length<e.length){var l=_a(t,c);return"\n        "+Ra(l)+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+Oa(["row","col","depth"],u)+");\n        }\n      "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+o+", "+a+", 1)));\n        "+Da(t)+"\n      }\n    ";var h=t.shapeInfo.texShape,d=h[0],f=h[1],p=t.shapeInfo.flatOffset;if(f===o&&null==p)return"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+f+".0, "+d+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ";if(f===a&&null==p)return"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+f+".0, "+d+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";var v=Ta(n);return"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+o+" + col * "+a+" + depth + "+v+";\n        vec2 uv = uvFromFlat("+d+", "+f+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[3],a=e[2]*o,i=e[1]*a,s=_(e),u=s.newShape,c=s.keptDims;if(u.length<e.length){var l=_a(t,u);return"\n      "+Ra(l)+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+Oa(["row","col","depth","depth2"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+i+", "+a+", "+o+", 1)));\n        "+Da(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,d=t.shapeInfo.texShape,f=d[0],p=d[1];if(p===i&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+p+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(p===o&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+p+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=Ta(n);return"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+i+" + col * "+a+" +\n          depth * "+o+" + depth2;\n      vec2 uv = uvFromFlat("+f+", "+p+", index + "+v+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[4],a=e[3]*o,i=e[2]*a,s=e[1]*i,u=_(e),c=u.newShape,l=u.keptDims;if(c.length<e.length){var h=_a(t,c);return"\n      "+Ra(h)+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+Oa(["row","col","depth","depth2","depth3"],l)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+i+", "+a+", "+o+")) +\n          depth3;\n        "+Da(t)+"\n      }\n    ";var d=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,p=f[0],v=f[1];if(v===s&&null==d)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+i+", "+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===o&&null==d)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var m=Ta(n);return"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+i+" + depth * "+a+" +\n          depth2 * "+o+" + depth3 + "+m+";\n      vec2 uv = uvFromFlat("+p+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=_(e),a=o.newShape,i=o.keptDims;if(a.length<e.length){var s=_a(t,a);return"\n      "+Ra(s)+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+Oa(["row","col","depth","depth2","depth3","depth4"],i)+");\n      }\n    "}var u=e[5],c=e[4]*u,l=e[3]*c,h=e[2]*l,d=e[1]*h;if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+d+", "+h+", "+l+", "+c+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+u+", 1)));\n        "+Da(t)+"\n      }\n    ";var f=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,v=p[0],m=p[1];if(m===d&&null==f)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+h+", "+l+", "+c+", "+u+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(m===u&&null==f)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=Ta(n);return"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+d+" + col * "+h+" + depth * "+l+" +\n          depth2 * "+c+" + depth3 * "+u+" + depth4 + "+g+";\n      vec2 uv = uvFromFlat("+v+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function Ia(t){var e,n,r;switch(t.shapeInfo.logicalShape.length){case 0:return e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=xa(),"\n    vec4 "+n+"() {\n      return "+r.texture2D+"("+e+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=xa();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+o[0]+", "+o[1]+", index);\n      return "+a.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=o[0],i=o[1],s=xa();if(null!=o&&I(e,o))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],c=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+c+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===e[0]){var i=e.slice(1),s=_a(t,i);return"\n        "+Ia(s)+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+Oa(["b","row","col"],[1,2])+");\n        }\n      "}var u=a[0],c=a[1],l=Math.ceil(e[2]/2),h=l*Math.ceil(e[1]/2),d=xa();return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+u+", "+c+", "+h+", "+l+", b, row, col);\n      return "+d.texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,o="get"+r.charAt(0).toUpperCase()+r.slice(1),a=t.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=i[0],u=i[1],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),h="int b, int row, int col",d="b * "+l+" + (row / 2) * "+c+" + (col / 2)",f=2;f<n-1;f++)h="int b"+f+", "+h,l*=e[n-f-1],d="b"+f+" * "+l+" + "+d;var p=xa();return"\n    vec4 "+o+"("+h+") {\n      int index = "+d+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+p.texture2D+"("+r+", uv);\n    }\n  "}(t)}}var ka="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Sa="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Aa="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",Na="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function Ta(t){return"offset"+t}function Da(t){var e=t.name,n=R(t.shapeInfo.logicalShape);return n<2?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function Fa(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function _a(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function Oa(t,e){return e.map((function(e){return t[e]})).join(", ")}var Ma=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,b(t.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var o=t[t.length-1],a=Math.ceil(o/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var i,s,u=this.outputShape,c=u.length,l=Fa(c),h=ya("coords",c);if(1===a){var d=Fa(s=c+1);i="\n        "+d+" sourceLocR = "+d+"("+h.join()+", 0);\n        ++"+h[c-1]+";\n        "+d+" sourceLocG = "+d+"("+h.join()+", 0);\n        ++"+h[c-2]+";\n        "+d+" sourceLocA = "+d+"("+h.join()+", 0);\n        --"+h[c-1]+";\n        "+d+" sourceLocB = "+d+"("+h.join()+", 0);\n        --"+h[c-2]+";"}else s=c,i="\n        "+l+" sourceLocR = coords;\n        ++"+h[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+h[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+h[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+h[c-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),p="."+f[s-1],v=f.map((function(t){return"int "+t})),m=ya("sourceLocR",s-1).concat("inIdx.r"),g=ya("sourceLocG",s-1).concat("inIdx.g"),y=ya("sourceLocB",s-1).concat("inIdx.b"),x=ya("sourceLocA",s-1).concat("inIdx.a"),w="max"===n?"greaterThan":"lessThan",C=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+m.join()+"),\n                             getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+x.join()+")));",E="vec4(\n            getAChannel("+m.join()+"),\n            hasNextCol ? getAChannel("+g.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+x.join()+") : 0.)",R=r?"":"\n      float getBestIndicesAChannel("+v.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+v.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+R+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+h[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+h[c-2]+" < "+(u[c-2]-1)+";\n        "+i+"\n        ivec4 srcIdx = ivec4(sourceLocR"+p+", sourceLocG"+p+",\n          sourceLocB"+p+", sourceLocA"+p+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+E+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+C+"\n          vec4 candidate = "+E+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+w+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},Ba=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,h=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+h+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+i+") {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Pa=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,h=t.effectiveFilterHeight,d=t.effectiveFilterWidth,f=l-1-t.padInfo.front,p=h-1-t.padInfo.top,v=d-1-t.padInfo.left,m=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+p+", "+v+");\n      const float avgMultiplier = float("+m+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+o+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+h+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+d+";\n                wC += "+c+") {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},La=function(t,e,n,r,o,a){this.outputShape=[],this.variableNames=["x","mean","variance"],hr(t,e),hr(t,n);var i="0.0";null!=r&&(hr(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="1.0";null!=o&&(hr(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+i+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},Wa=function(t,e,n,r,o,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],hr(t,e),hr(t,n);var i="vec4(0.0)";null!=r&&(hr(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=o&&(hr(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+i+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},Ua="return areal * breal - aimag * bimag;",za="return areal * bimag + aimag * breal;",Va=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=hr(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},Ga="return a + b;",Ha="return a - b;",qa="return a * b;",Ka="\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",ja="return (a < 0.) ? b * a : a;",Xa=function(t,e,n){this.variableNames=["A","B"],this.outputShape=hr(e,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},Ya="\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n",$a="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Qa=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=hr(e,n);var o=this.outputShape.length,a="";if(r)if(0===o||1===R(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+Fa(o)+" coords = getOutputCoords();\n        ",1===o)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var i=ya("coords",o);a+="\n            bool nextRowOutOfBounds =\n              ("+i[o-2]+" + 1) >= "+this.outputShape[o-2]+";\n            bool nextColOutOfBounds =\n              ("+i[o-1]+" + 1) >= "+this.outputShape[o-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+a+"\n\n        setOutput(result);\n      }\n    "},Ja=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Za=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),ti=function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},ei=function(t){this.outputShape=[],this.outputShape=un(t,1),this.variableNames=t.map((function(t,e){return"T"+e}));var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var o=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+o+"));")}var a=e.length,i=e[e.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+i+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},ni=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=un(t,e);var n=this.outputShape,r=n.length,o=Fa(r),a=ya("coords",r),i=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map((function(t,e){return"T"+e}));var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var c=i[e],l=i.slice(-2),h=i.join(),d="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+h+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var f=s[u-1];d+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+ri(i,c,f)+"),\n            vec2("+ri(l,c,f)+"));\n        }"}var p=s.length,v=s[s.length-1];d+="\n        return getChannel(\n          getT"+p+"("+ri(i,c,v)+"),\n          vec2("+ri(l,c,v)+"));",this.userCode="\n      float getValue("+i.map((function(t){return"int "+t}))+") {\n        "+d+"\n      }\n\n      void main() {\n        "+o+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function ri(t,e,n){var r=t.indexOf(e);return t.map((function(t,e){return e===r?t+" - "+n:t})).join()}var oi=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ai=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a="channelsLast"===t.dataFormat,i=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n\n              if ("+a+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ii=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.padInfo.front,a=t.padInfo.top,i=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+o+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+a+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+i+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},si=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+o+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ui=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a=t.outChannels/t.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+a+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ci=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=e-1-t.padInfo.top,i=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},li=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,a=t.padInfo.left,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,d=4*Math.floor(t.inChannels/4),f=t.inChannels%4,p="channelsLast"===t.dataFormat,v=p?1:2,m=p?2:3,g=p?3:1,y="",x="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",x="result = activation(result);");var b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+g+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+v+"], coords["+m+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+d+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+p+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===f)+") {\n\n              if ("+p+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+d+") *\n                    getW(wR, wC, "+d+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+d+", xR, xC) *\n                    getW(wR, wC, "+d+", d2);\n              }\n\n            } else if ("+(2===f)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+d+", d2),\n                getW(wR, wC, "+d+" + 1, d2)\n              );\n\n              if ("+p+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+d+"),\n                  getX(batch, xR, xC, "+d+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+d+", xR, xC),\n                  getX(batch, "+d+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===f)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+d+", d2),\n                getW(wR, wC, "+d+" + 1, d2),\n                getW(wR, wC, "+d+" + 2, d2)\n              );\n\n              if ("+p+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+d+"),\n                  getX(batch, xR, xC, "+d+" + 1),\n                  getX(batch, xR, xC, "+d+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+d+", xR, xC),\n                  getX(batch, "+d+" + 1, xR, xC),\n                  getX(batch, "+d+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+b+"\n        "+x+"\n        setOutput(result);\n      }\n    "},hi=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,h=t.filterHeight,d=t.filterWidth,f=4*Math.floor(t.inChannels/4),p=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+o+", "+a+", "+i+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+h+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+d+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===p)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+f+") *\n                  getW(wF, wR, wC, "+f+", d2);\n              } else if ("+(2===p)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===p)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1),\n                  getX(batch, xF, xR, xC, "+f+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2),\n                  getW(wF, wR, wC, "+f+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},di=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,d=t.filterHeight,f=t.filterWidth,p=t.outChannels/t.inChannels,v="",m="";n&&(v=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",m="result = activation(result);");var g=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+v+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+p+";\n        int q = d2 - d1 * "+p+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+d+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+o+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+h+";\n\n            if (xC < 0 || xC >= "+a+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+g+"\n        "+m+"\n        setOutput(result);\n      }\n    "},fi=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,d=t.filterHeight,f=t.filterWidth,p=f,v="int xR; int xC; int xCOffset;",m=0;m<d;m++)for(var g=0;g<f;g++)v+="\n          vec4 xTexelR"+m+"C"+2*g+" = vec4(0.);\n          vec4 wR"+m+"C"+g+" = vec4(0.);\n          vec4 xR"+m+"C"+g+" = vec4(0.);";for(m=0;m<d;m++)for(var x=0;x<p;x++){if(v+="\n          xR = xRCorner + "+m*l+";\n          xC = xCCorner + "+(g=2*x)*h+";\n        ",1===c){if(g<f&&(v+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+m+"C"+g+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+m+"C"+g+" = vec4(previous.zw, xTexelR"+m+"C"+g+".xy);\n                } else {\n                  xR"+m+"C"+g+" = vec4(0, 0, xTexelR"+m+"C"+g+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+o+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = xTexelR"+m+"C"+g+";\n              ",g+1<f)){var b=s%2==0?y(h):h;h%2==0&&s%2==1||h%2!=0&&s%2!=1?(v+="\n                  xCOffset = xC + "+s%2+" + "+b+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",h>1&&(v+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+o+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+m+"C"+g+" = vec4(0.);\n                    }\n                  "),v+="\n                  xR"+m+"C"+(g+1)+" = vec4(\n                    xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".xy);\n                "):v+="\n                  xCOffset = xC + "+b+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+m+"C"+(g+1)+" = xTexelR"+m+"C"+(g+2)+";\n                "}}else g<f&&(v+="\n              if(xR >= 0 && xR < "+o+") {\n            ",s%2==1?(v+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+m+"C"+(g+2)+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = vec4(\n                  xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".zw);\n              ",g+1<f&&(v+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+m+"C"+(g+1)+" = vec4(xTexelR"+m+"C"+(g+2)+".xy, final.xy);\n                ")):(v+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+(g+2)+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = vec4(\n                  xTexelR"+m+"C"+g+".xy, xTexelR"+m+"C"+(g+2)+".xy);\n              ",g+1<f&&(v+="\n                  xR"+m+"C"+(g+1)+" = vec4(\n                    xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".zw);\n                ")),v+="}");g<f&&(v+="\n            vec4 wTexelR"+m+"C"+g+" = getW("+m+", "+g+", d1, q);\n            wR"+m+"C"+g+" = vec4(wTexelR"+m+"C"+g+".xz, wTexelR"+m+"C"+g+".xz);\n          ",g+1<f&&(v+="\n              vec4 wTexelR"+m+"C"+(g+1)+" = getW("+m+", "+(g+1)+", d1, q);\n              wR"+m+"C"+(g+1)+" =\n                vec4(wTexelR"+m+"C"+(g+1)+".xz, wTexelR"+m+"C"+(g+1)+".xz);"))}for(m=0;m<d;m++)for(g=0;g<f;g++)v+="dotProd += xR"+m+"C"+g+" * wR"+m+"C"+g+";";var w="",C="";n&&(w=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",C="result = activation(result);");var E=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+w+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+v+"\n\n        vec4 result = dotProd;\n        "+E+"\n        "+C+"\n        setOutput(result);\n      }\n    "},pi=function(t,e,n,r,o){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=t[0],i=t[1],s=t[2],u=t[3],c=e[0],l=n[0],h=n[1];this.outputShape=[c,l,h,u];var d="bilinear"===r?1:0,f=[i-1+".0",s-1+".0"],p=f[0],v=f[1],m=l>1?[""+(i-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],g=m[0],y=m[1],x=m[2],b=h>1?[""+(s-1)/(h-1),"(x2-x1) * width_ratio","x1*"+v+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+v],w=b[0],C=b[1],E=b[2];this.userCode="\n      const float height_ratio = float("+g+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+C+";\n\n        float in_y = "+x+";\n        if( in_y < 0.0 || in_y > "+p+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+v+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+d+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},vi=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,o=t[t.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+o+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+Fa(r)+" coords = getOutputCoords();\n        int end = "+mi(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+o+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+a+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+mi(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function mi(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var gi=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Wt.DENSE;var e=jt(t),n=xa();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ba(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},yi=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Wt.DENSE;var e=jt(t),n=xa();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+ba(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},xi=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),bi=function(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},wi=function(t){this.variableNames=["A"],this.outTexUsage=Ut.DOWNLOAD;var e=xa();this.outputShape=t,this.userCode="\n      "+Ca+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},Ci=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Ut.DOWNLOAD;var e=xa();this.outputShape=t,this.userCode="\n      "+Ca+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+e.output+" = encode_float(x);\n      }\n    "},Ei=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=xa(),o=e[0],a=e[1];this.outputShape=t;var i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode="\n      "+wa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+i+", 0., 0., 0.);\n      }\n    "},Ri=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=xa(),o=e[0],a=e[1];this.outputShape=t;var i="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;i+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+t[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+wa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        "+i+"\n\n        "+r.output+" = "+s+";\n      }\n    "},Ii="return real * expR - imag * expI;",ki="return real * expI + imag * expR;",Si=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var o=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+o+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},Ai=function(){function t(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.valueLoc&&(e.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(e.valueLoc,t)}},t}(),Ni=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var o=Fa(this.rank),a=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],a=0;a<t.length;a++)a===e?o.push("int(getIndices("+r[a]+"))"):o.push(""+r[a]);return o.join()}(t,n);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var Ti=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=Fa(e.length),o=Fa(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+o+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+a+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function Di(t,e){var n=xa();return ne(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function Fi(t,e){return le(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function _i(t,e){return he(t,e,new Uint16Array([0,1,2,2,1,3]))}function Oi(t,e,n,r,o,a,i){fe(n,r);var s=de(t,e),u=t.TEXTURE_2D;return $t(t,e,(function(){return t.bindTexture(u,s)})),$t(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)})),$t(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)})),$t(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)})),$t(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)})),$t(t,e,(function(){return t.texImage2D(u,0,o,n,r,0,a,i,null)})),$t(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)})),s}function Mi(t,e,n,r,o){var a=Kt(n,r);return Oi(t,e,a[0],a[1],o.internalFormatFloat,o.textureFormatFloat,t.FLOAT)}function Bi(t,e,n,r,o){var a=Kt(n,r);return Oi(t,e,a[0],a[1],o.internalFormatHalfFloat,o.textureFormatFloat,o.textureTypeHalfFloat)}function Pi(t,e,n,r,o){var a=Kt(n,r);return Oi(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function Li(t,e,n,r,o){var a=Xt(n,r);return Oi(t,e,a[0],a[1],o.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function Wi(t,e,n,r,o){var a=Xt(n,r);return Oi(t,e,a[0],a[1],o.internalFormatPackedHalfFloat,t.RGBA,o.textureTypeHalfFloat)}function Ui(t,e,n,r){return $t(t,e,(function(){return t.bindBuffer(t.ARRAY_BUFFER,r)})),ve(t,e,n,"clipSpacePos",r,3,20,0)&&ve(t,e,n,"uv",r,2,20,12)}function zi(t,e,n,r,o,a,i){var s,u,c;$t(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),a instanceof Uint8Array?(s=new Uint8Array(r*o*4),u=t.UNSIGNED_BYTE,c=t.RGBA):(s=new Float32Array(r*o*4),u=t.FLOAT,c=i.internalFormatPackedFloat),s.set(a),$t(t,e,(function(){return 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r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,o),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),o}function qi(t,e,n,r,o){var a=Kt(n,r),i=a[0],s=a[1],u=new Uint8Array(n*r*4);return $t(t,e,(function(){return t.readPixels(0,0,i,s,o.downloadTextureFormat,t.UNSIGNED_BYTE,u)})),new Float32Array(u.buffer)}function Ki(t,e,n,r,o,a,i,s){var u=t,c=new Float32Array(function(t,e){var n=Xt(t,e);return n[0]*n[1]*4}(a,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function ji(t,e,n,r){var o=new Float32Array(n*r*4);return $t(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,o)})),o}var Xi=Object.freeze({createVertexShader:Di,createVertexBuffer:Fi,createIndexBuffer:_i,createFloat32MatrixTexture:Mi,createFloat16MatrixTexture:Bi,createUnsignedBytesMatrixTexture:Pi,createPackedMatrixTexture:Li,createFloat16PackedMatrixTexture:Wi,bindVertexProgramAttributeStreams:Ui,uploadDenseMatrixToTexture:zi,uploadPixelDataToTexture:Vi,createBufferFromOutputTexture:Gi,downloadFloat32MatrixFromBuffer:Hi,downloadByteEncodedFloatMatrixFromOutputTexture:qi,downloadPackedMatrixFromBuffer:Ki,downloadMatrixFromPackedOutputTexture:ji}),Yi=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=s().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,Ht(e,t)):this.gl=qt(e);var n="WEBGL_color_buffer_float";if(1===s().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=ee(this.gl,this.debug,"OES_texture_float"),Me(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=ee(this.gl,this.debug,"OES_texture_half_float");else if(s().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Me(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=ee(this.gl,this.debug,"EXT_color_buffer_half_float");else if(s().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Me(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Me(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=Fi(this.gl,this.debug),this.indexBuffer=_i(this.gl,this.debug),this.framebuffer=pe(this.gl,this.debug),this.textureConfig=Yt(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return s().getBool("DEBUG")},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;$t(e,this.debug,(function(){return e.finish()})),$t(e,this.debug,(function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)})),$t(e,this.debug,(function(){return e.deleteFramebuffer(t.framebuffer)})),$t(e,this.debug,(function(){return e.bindBuffer(e.ARRAY_BUFFER,null)})),$t(e,this.debug,(function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)})),$t(e,this.debug,(function(){return e.deleteBuffer(t.indexBuffer)})),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),Mi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),Bi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),Pi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),Vi(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),zi(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Wi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),Li(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(we(this.gl,this.debug,this.framebuffer),this.outputTexture=null),$t(this.gl,this.debug,(function(){return e.gl.deleteTexture(t)}))},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return qi(r.gl,r.debug,e,n,r.textureConfig)}))},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,o,a){return Ki(this.gl,t,0,0,0,o,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return Hi(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=Gi(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(s().getBool("WEBGL_FENCE_API_ENABLED")){var o=t,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=o.clientWaitSync(a,0,0);return t===o.ALREADY_SIGNALED||t===o.CONDITION_SATISFIED},e=a}else s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return ji(r.gl,r.debug,e,n)}))},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=re(e,this.debug,t),r=Di(e,this.debug),o=se(e,this.debug);return $t(e,this.debug,(function(){return e.attachShader(o,r)})),$t(e,this.debug,(function(){return e.attachShader(o,n)})),ue(e,this.debug,o),this.debug&&ce(e,this.debug,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=Ui(e,this.debug,this.program,this.vertexBuffer)),o},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&$t(this.gl,this.debug,(function(){return e.gl.deleteProgram(t)}))},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&ce(this.gl,this.debug,this.program),$t(this.gl,this.debug,(function(){return e.gl.useProgram(t)}))},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?ge(this.gl,this.debug,t,e):ye(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),$t(this.gl,this.debug,(function(){return n.gl.getAttribLocation(t,e)}))},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),xe(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=Xt(e,n),o=r[0],a=r[1];this.setOutputMatrixTextureDriver(t,o,a)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&ce(this.gl,this.debug,this.program),Ce(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),$t(t,this.debug,(function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)}))},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),$t(this.gl,this.debug,(function(){return t.gl.finish()}))},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=ee(this.gl,this.debug,2===s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),o=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,o),o},t.prototype.endQuery=function(){if(2!==s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return r(this,void 0,void 0,(function(){var e=this;return o(this,(function(n){switch(n.label){case 0:return[4,T((function(){return e.disposed||e.isQueryAvailable(t,s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}))];case 1:return n.sent(),[2,this.getQueryTime(t,s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}}))}))},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),o=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise((function(n){e.addItemToPoll((function(){return t.isFencePassed()}),(function(){return n()}))}))},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length;++e){if(!t[e]())break}return e-1}(this.itemsToPoll.map((function(t){return t.isDoneFn}))),e=0;e<=t;++e){(0,this.itemsToPoll[e].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||T((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),be(this.gl,this.debug,t,this.framebuffer),this.debug&&Ce(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(be(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&Ce(this.gl)):we(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;be(r,this.debug,t,this.framebuffer),this.debug&&Ce(r),this.outputTexture=t,$t(r,this.debug,(function(){return r.viewport(0,0,e,n)})),$t(r,this.debug,(function(){return r.scissor(0,0,e,n)}))},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var o=this;this.throwIfDisposed(),$t(this.gl,this.debug,(function(){return o.gl.scissor(t,e,n,r)}))},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function $i(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach((function(t,n){var r=t.logicalShape,o=e[n],a=o.shape;if(!I(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!t.isUniform||!o.isUniform){var i=t.texShape,s=o.isUniform?null:o.texData.texShape;if(!I(i,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+i+" and "+s+" must match")}}))}var Qi=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,o=n.inChannels,a=n.strideWidth,i=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,h=n.dataFormat,d=s.left,f=s.top,p=o*r,v=xa(),m="channelsLast"===h,g=m?0:1,y=m?1:2,x="",b=0;b<=1;b++)for(var w=0;w<=1;w++)x+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+b+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+i+" - "+f+";\n            d0 = offsetY + "+l+" * (pos / "+p+");\n\n            if(d0 < "+e[g]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+d+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+p+".) / "+o+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+o+".));\n\n                if ("+m+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+x+"\n\n        "+v.output+" = result;\n      }\n    "},Ji=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[];var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+i+"; j <= "+i+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+a+";\n        setOutput(val);\n      }\n    "},Zi=function(t,e,n,r,o){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=o,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+o+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+o+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},ts=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+i+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+i+"; j <= "+i+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},es=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,o=t.effectiveFilterHeight,a=t.effectiveFilterWidth,i=o-1-t.padInfo.top,s=a-1-t.padInfo.left,u=o*a-1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+o+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+a+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},ns=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.dilationDepth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=s-1-t.padInfo.front,h=u-1-t.padInfo.top,d=c-1-t.padInfo.left,f=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+h+", "+d+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+o+") {\n          float dyD = float(dyDCorner + wD) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+i+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+f+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},rs=function(t,e,n,r,o,a,i){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===a&&(a=null),void 0===i&&(i=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",h=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],d=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",p="";a&&(f=i?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",p="result = activation(result);");var v=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+f+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+h[0]+" * "+d[0]+");\n          result += ("+h[1]+" * "+d[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+v+"\n\n        "+p+"\n\n        setOutput(result);\n      }\n    "},os=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(e-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),as=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},is=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=ya("rc",e),r=Fa(e),o=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",o=t-2;o<t;o++)r+=n[o]+" >= "+e[o],o<t-1&&(r+="||");return r}(e,t,n),a=function(t,e,n,r){if(1===t)return"";var o=r.slice(-2);return"\n    int r = "+o[0]+";\n    int c = "+o[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),i=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var o=0;o<=1;o++){for(var a=(0===r?"r":"rp1")+", "+(0===o?"c":"cp1"),i=2;i<t;i++)a=e[e.length-1-i]+","+a;n.push(a)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+o+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+i+"));\n          }\n        }\n      "}};var ss=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));var r=t.length,o=Fa(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+o+" start = "+o+"("+a+");\n      "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+o+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+i+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},us=function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));for(var r=t.length,o=Fa(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=ya("rc",r),u=ya("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",h=[o+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+c+") {"],d=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",p=0,v=1===r?2:4;p<v;p++)f+="\n        "+h[p]+"\n        if ("+d+") {\n          result["+p+"] = float("+n+");\n        } else {\n          "+o+" source = rc - start;\n          result["+p+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+o+" start = "+o+"("+a+");\n      const "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},cs=function(t,e,n,r,o){if(void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterHeight,h=t.effectiveFilterWidth,d=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var p="avg"===e,v="((batch  * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",m="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",g="0.0";if(p||(g="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+s+");\n        const ivec2 pads = ivec2("+d+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+l+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+c+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?o?v:m:"wR * "+h+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(y="avgValue / count");var x=4*Math.floor(a/4),b=a%4,w="\n      if ("+p+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+d+", "+f+");\n      const float initializationValue = "+g+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+l+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+x+"; wC += 4) {\n            int xC = xCCorner + wC * "+c+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              getValue(batch, xR, xC + 3 * "+c+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+x+";\n          if ("+(1===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},ls=function(t,e,n,r,o){if(void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,i=t.strideDepth,s=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,h=t.dilationWidth,d=t.effectiveFilterDepth,f=t.effectiveFilterHeight,p=t.effectiveFilterWidth,v=t.padInfo.front,m=t.padInfo.top,g=t.padInfo.left;this.outputShape=t.outShape;var y="avg"===e,x="0.0";if(y||(x="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+i+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+v+", "+m+", "+g+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+d+";\n              wD += "+c+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+f+";\n                wR += "+l+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+p+";\n                  wC += "+h+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?o?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+f+" * "+p+" +\n                      wR * "+p+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var b=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(b="avgValue / count");var w=4*Math.floor(a/4),C=a%4,E="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+i+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+v+", "+m+", "+g+");\n      const float initializationValue = "+x+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+x+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+d+";\n            wD += "+c+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+";\n            wR += "+l+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+h+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+h+", ch)\n              );\n\n              "+E+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+E+"\n            } else if ("+(2===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+E+"\n            } else if ("+(3===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                initializationValue\n              );\n\n              "+E+"\n            }\n          }\n          setOutput("+b+");\n        }\n      }\n    "}},hs=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=Math.ceil(o/n);this.outputShape=[r,a];var i="0.0",s="";"prod"===e?i="1.0":"min"===e?(i="1.0 / 1e-20",s="min"):"max"===e&&(i="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,h="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",d="vec4";"all"===e?(i="1.0",h="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",d="bvec4"):"any"===e&&(i="0.0",h="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",d="bvec4");var f="";o%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+i+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+i+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+h+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(2===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(3===l)+") {\n          "+d+" values = "+d+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+h+"\n        }\n        setOutput("+u+");\n      }\n    "},ds=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var o="thisRC = rc;";r%2==1&&(o+="thisRC.z += 1;"),r>1&&(o+="thisRC.y += 1;"),n+="\n        "+o+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+ba(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+wa(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "};var fs=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],d=c[1]/l[1],f=1/h,p=1/d,v=2*Math.ceil(f)+2,m=2*Math.ceil(p)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+h+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+m+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(o-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},ps=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},vs=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+i+".0,\n                                     "+i+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},ms=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],d=c[1]/l[1],f=1/h,p=1/d,v=2*Math.ceil(f)+2,m=2*Math.ceil(p)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+h+");\n        const float widthScale = float("+d+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+m+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+o+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},gs=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},ys=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map((function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),o=Fa(n);this.userCode="\n      void main() {\n        "+o+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},xs=function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=ya("rc",n),o=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],i=Fa(n);function s(n){var r=t.map((function(r,o){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(o,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+o+"){\n              result.g = getChannel(getX("+t[0]+" - (rc  + 1) - 1),\n                "+t[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+i+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(t){return s(t)}(r.slice())+";\n          if("+o+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+o+") {\n              result.a = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},bs=function(t,e,n,r,o,a,i){void 0===i&&(i=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=Fa(o.length),u=Fa(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",h="";1===r?h="i":2===r&&(h="i, coords[1]");var d="getUpdates("+h+")",f=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+o+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+d+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},ws=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=t.numSegments,i=a*Math.ceil(o/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";o%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      ");var h="";o%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+h+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+c+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+c+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+c+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "},Cs=function(t,e,n){var r,o;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)o="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],s=[],u=0;u<e.length;u++)s.push(""+a[u]),u<t&&i.push(""+a[u]);r=i.join(),o=s.join()}var c=Fa(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+o+"));\n        } else {\n          setOutput(getB("+o+"));\n        }\n      }\n    "},Es=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=Fa(this.rank),r="uniform int start["+this.rank+"];",o=function(t){if(1===t)return"sourceLoc";if(t<=6)return Rs.slice(0,t).map((function(t){return"sourceLoc."+t})).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map((function(t,e){return"sourceLoc."+Rs[e]+" = start["+e+"] + coords."+Rs[e]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+o+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),Rs=["x","y","z","w","u","v"];var Is=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=Fa(this.rank),n=ya("coords",this.rank),r=ya("sourceLoc",this.rank),o=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+o+")",i="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map((function(t,e){return"start["+e+"]"})).join()+");":t.map((function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"})).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+i+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),ks=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,o=Fa(n.length),a=Fa(n.length),i="";if(1===r)i="coords * strides + begin";else{var s=0;i=n.map((function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"})).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+t+");\n      "+o+" strides = "+o+"("+e+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+i+"));\n      }\n    "},Ss=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,o=As(e,n),a=Ns(t,o,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var i=this.freeTextures[a].shift();return this.usedTextures[a].push(i),i}return this.numUsedTextures++,this.log(),o===zt.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===zt.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===zt.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===zt.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===zt.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var o=Ns(e,As(n,r),r);o in this.freeTextures||(this.freeTextures[o]=[]),this.freeTextures[o].push(t),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[o],i=a.indexOf(t);if(i<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(i,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));for(var e in this.usedTextures)this.usedTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function As(t,e){if(t===Ut.UPLOAD)return zt.PACKED_2X2_FLOAT32;if(t===Ut.RENDER||null==t)return function(t){return s().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?zt.PACKED_2X2_FLOAT32:zt.UNPACKED_FLOAT32:t?zt.PACKED_2X2_FLOAT16:zt.UNPACKED_FLOAT16}(e);if(t===Ut.DOWNLOAD||t===Ut.PIXELS)return zt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function Ns(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var Ts=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var o=Fa(this.rank),a=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],o=0;o<t.length;o++)r.push("imod("+n[o]+", "+t[o]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var Ds=1.7580993408473768,Fs=1.0507009873554805,_s=function(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        "+e+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Os="if (isnan(x)) return x;",Ms="return x;",Bs="return abs(x);",Ps=Os+"\n  return (x < 0.0) ? 0.0 : x;\n",Ls=Os+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",Ws="return (x >= 0.0) ? x : (exp(x) - 1.0);",Us="\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = "+Ds+";\n  float scale = "+Fs+";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n";var zs="return -x;",Vs="return ceil(x);",Gs="return floor(x);",Hs="return exp(x);",qs="return exp(x) - 1.0;",Ks=Os+"\n  return sin(x);\n",js=Os+"\n  return cos(x);\n",Xs=Os+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n",Ys=Os+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n",$s=Os+"\n  return atan(x);\n",Qs=Os+"return log(x + sqrt(x * x + 1.0));",Js=Os+"\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));",Zs=Os+"\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;",tu="return x;",eu="return x;",nu="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",ru="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",ou="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",au=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},iu=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=ya("rc",e),r=Fa(e),o=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),a=n.slice(-2),i=e<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+o+");\n\n        setOutput(getChannel(packedInput, "+i+"));\n      }\n    "},su={};function uu(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?eu:Ms;if("relu"===t)return e?nu:Ps;if("elu"===t)return e?ou:Ws;if("relu6"===t)return e?ru:Ls;if("prelu"===t)return e?$a:ja;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var cu=600;var lu=function(t){function e(e){var n,r=t.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!s().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var o=qt(s().getNumber("WEBGL_VERSION"));r.binaryCache=(n=s().getNumber("WEBGL_VERSION"))in su?su[n]:(su[n]={},su[n]),r.gpgpu=new Yi(o),r.canvas=o.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new Ss(r.gpgpu),r.numMBBeforeWarning=null==s().global.screen?1024:s().global.screen.height*s().global.screen.width*window.devicePixelRatio*cu/1024/1024,r.texData=new _o(r,Bt),r}return n(e,t),e.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},e.prototype.write=function(t,e,n){if(s().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:Ut.UPLOAD}),r},e.prototype.move=function(t,e,n,r){if(s().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:Ut.UPLOAD})},e.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,o=e.complexTensors,a=e.slice,i=e.shape,s=e.isPacked;if(null!=a){var u=void 0;u=s?new au(i,tu):new _s(i,tu);var c=this.runWebGLProgram(u,[{dataId:t,shape:i,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var h,d,f=null!=this.activeTimers;(f&&(h=Z()),"complex64"===r)?d=Jo(o.real.dataSync(),o.imag.dataSync()):d=this.getValuesFromTexture(t);return f&&(this.downloadWaitMs+=Z()-h),this.convertAndCacheOnCPU(t,d)},e.prototype.read=function(t){return r(this,void 0,void 0,(function(){var e,n,r,a,i,u,c,l,h,d,f,p,v,m,g,y,x,b,w,C,E,I;return o(this,(function(o){switch(o.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise((function(t){return e.push(t)}))];if(n=this.texData.get(t),r=n.values,a=n.shape,i=n.slice,u=n.dtype,c=n.complexTensors,l=n.isPacked,null!=i)return h=void 0,h=l?new au(a,tu):new _s(a,tu),d=this.runWebGLProgram(h,[{dataId:t,shape:a,dtype:u}],u),f=this.read(d.dataId),this.disposeData(d.dataId),[2,f];if(null!=r)return[2,this.convertAndCacheOnCPU(t)];if(!s().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===s().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==u&&s().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),m=this.texData.get(v.dataId),p=(I=this.gpgpu).createBufferFromTexture.apply(I,[m.texture].concat(jt(a)))),this.pendingRead.set(t,[]),"complex64"===u?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:o.sent(),o.label=2;case 2:return"complex64"!==u?[3,4]:[4,Promise.all([c.real.data(),c.imag.data()])];case 3:return y=o.sent(),x=y[0],b=y[1],g=Jo(x,b),[3,5];case 4:null==p?g=this.getValuesFromTexture(t):(w=R(a),g=this.gpgpu.downloadFloat32MatrixFromBuffer(p,w)),o.label=5;case 5:return null!=v&&this.disposeData(v.dataId),C=this.convertAndCacheOnCPU(t,g),E=this.pendingRead.get(t),this.pendingRead.delete(t),E.forEach((function(t){return t(C)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,C]}}))}))},e.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!Zt(n)){if(s().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},e.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.isPacked,i=R(r);if(s().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(t),c=this.texData.get(u.dataId),l=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[c.texture].concat(jt(r))).subarray(0,i);return this.disposeData(u.dataId),l}var h=s().getBool("WEBGL_PACK")&&!0===a,d=h?Ae(r):r,f=h?new Ci(d):new wi(d),p=this.runWebGLProgram(f,[{shape:d,dtype:o,dataId:t}],"float32"),v=this.texData.get(p.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(v.texture,v.texShape[0],v.texShape[1]).subarray(0,i);return this.disposeData(p.dataId),m},e.prototype.time=function(t){return r(this,void 0,void 0,(function(){var e,n,r,a,i,u,c;return o(this,(function(o){switch(o.label){case 0:return e=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,t(),a=E(this.activeTimers.map((function(t){return t.query}))).filter((function(t){return null!=t})),i=E(this.activeTimers.map((function(t){return t.name}))).filter((function(t){return null!=t})),this.activeTimers=e,r&&(this.programTimersStack=null),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(a)]:[3,2];case 1:return c=o.sent(),u.kernelMs=x(c),u.getExtraProfileInfo=function(){return c.map((function(t,e){return{name:i[e],ms:t}})).map((function(t){return t.name+": "+t.ms})).join(", ")},[3,3];case 2:u.kernelMs={error:"WebGL query timers are not supported in this environment."},o.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}}))}))},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Z(),endMs:null}},e.prototype.endTimer=function(t){return s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=Z(),t)},e.prototype.getQueryTime=function(t){return r(this,void 0,void 0,(function(){var e;return o(this,(function(n){return s().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]}))}))},e.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}}},e.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,o=e.texShape,a=e.usage,i=e.isPacked,s=e.slice,u=s&&s.origDataId||t,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(o,r),this.textureManager.releaseTexture(n,o,a,i)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},e.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},e.prototype.getDataInfo=function(t){return this.texData.get(t)},e.prototype.getCPUBackend=function(){return s().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Bt.findBackend("cpu")),this.cpuBackend):null},e.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every((function(t){return null==n.texData.get(t.dataId).texture&&R(t.shape)<e}))},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Bt.keep(t.clone()),imag:Bt.keep(e.clone())},n},e.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===R(n))return fn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,o=Ro(t.shape,e,n);if(r||!o){var a=s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Is(n):new Es(n),i=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,i)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},e.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),o=this.makeOutput(n,t.dtype),a=this.texData.get(o.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var i=Io(e,t.strides);r.slice&&(i+=r.slice.flatOffset),a.slice={flatOffset:i,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),o},e.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var o=wo(e,n,r);if(o.some((function(t){return 0===t})))return fn([],o);var a=new ks(e,r,o);return this.compileAndRun(a,[t])},e.prototype.reverse=function(t,e){var n=s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new xs(t.shape,e):new ys(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map((function(t){return hn(t)})),r=t.map((function(t){return dn(t)}));return ln(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>s().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var o=Math.floor(t.length/2),a=this.concat(t.slice(0,o),e),i=this.concat(t.slice(o),e);return this.concat([a,i],e)}if(s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var u=new ni(t.map((function(t){return t.shape})),e);return this.compileAndRun(u,t)}var c=un(t.map((function(t){return t.shape})),e),l=t.map((function(t){return t.as2D(-1,R(t.shape.slice(e)))})),h=new ei(l.map((function(t){return t.shape})));return this.compileAndRun(h,l).reshape(c)},e.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,zs,t.dtype);var e=new _s(t.shape,zs);return this.compileAndRun(e,[t])},e.prototype.batchMatMul=function(t,e,n,r){var o=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],i=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===o||1===a)&&i>1e3){n&&(t=Fo(t,[0,2,1])),r&&(e=Fo(e,[0,2,1]));var u=1===a?t:t.as3D(s,i,1),c=1===a?2:1,l=1===a?e.as3D(s,1,i):e;return this.multiply(u,l).sum(c,!0)}var h=St(t.dtype,e.dtype),d=new rs(t.shape,[s,o,a],n,r);return this.compileAndRun(d,[t,e],h)},e.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],c=o?n.shape[1]:n.shape[2],l=e.shape[0],h=St(e.dtype,n.dtype),d=null!=a,f=null!=s,p=i?uu(i,!0):null,v=new rs(e.shape,[l,u,c],r,o,d,p,f),m=[e,n];return a&&m.push(a),s&&m.push(s),this.compileAndRun(v,m,h)},e.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),o=new Va(Ua,t.shape,e.shape),a=new Va(za,t.shape,e.shape),i=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],u=this.compileAndRun(o,i),c=this.compileAndRun(a,i),l=this.complex(u,c);return u.dispose(),c.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,qa,t.dtype);var h=new Xa(qa,t.shape,e.shape);return this.compileAndRun(h,[t,e],t.dtype)},e.prototype.batchNormalization=function(t,e,n,r,o,a){var i=[t,e,n],u=null;null!=a&&(u=a.shape,i.push(a));var c=null;if(null!=o&&(c=o.shape,i.push(o)),s().getBool("WEBGL_PACK_NORMALIZATION")){var l=new Wa(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(l,i)}var h=new La(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(h,i)},e.prototype.localResponseNormalization4D=function(t,e,n,r,o){var a=s().getBool("WEBGL_PACK_NORMALIZATION")?new ts(t.shape,e,n,r,o):new Ji(t.shape,e,n,r,o);return this.compileAndRun(a,[t])},e.prototype.LRNGrad=function(t,e,n,r,o,a,i){var s=new Zi(e.shape,r,o,a,i);return this.compileAndRun(s,[e,n,t])},e.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map((function(t){return nt(t)}));return ha(Bn(t.shape,t.dtype,n),e)}var r=new Ts(t.shape,e);return this.compileAndRun(r,[t])},e.prototype.pad=function(t,e,n){var r=s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new us(t.shape,e,n):new ss(t.shape,e,n);return this.compileAndRun(r,[t])},e.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new Ni(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},e.prototype.batchToSpaceND=function(t,e,n){b(t.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=Yn(t.shape,e,r),a=$n(o.length,e.length),i=Qn(t.shape,e,r),s=Jn(n,e.length),u=Zn(i,n,e.length);return Fo(t.reshape(o),a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){b(t.rank<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=Yn(i.shape,e,r,!1),u=$n(s.length,e.length,!1),c=Qn(i.shape,e,r,!1);return Fo(i.reshape(s),u).reshape(c)},e.prototype.reduce=function(t,e,n){var r=t.shape[0],o=t.shape[1],a=po(o),i=new hs({windowSize:a,inSize:o,batchSize:r},e),s=this.compileAndRun(i,[t],n);return 1===s.shape[1]?s:this.reduce(s,e,n)},e.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],o=t.shape[1];null!=n&&(r=n.shape[0],o=n.shape[1]);var a=po(o),i=new ma({windowSize:a,inSize:o,batchSize:r},e,null==n),s=[t];null!=n&&s.push(n);var u=this.compileAndRun(i,s,"int32");return 1===u.shape[1]?u:this.argReduce(t,e,u)},e.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,o=po(r[r.length-1]),a=new Ma(r,o,e,null==n),i=null==n?[t]:[t,n],s=this.compileAndRun(a,i,"int32");return s.rank===t.rank?this.argReducePacked(t,e,s):s},e.prototype.sum=function(t,e){nn("sum",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o),i=At(t.dtype);return this.reduce(a,"sum",i).reshape(r)},e.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o),i=At(t.dtype);return this.reduce(a,"prod",i).reshape(r)},e.prototype.unsortedSegmentSum=function(t,e,n){var r=0,o=rn([r],t.rank),a=t;null!=o&&(a=Fo(t,o),r=an(1,t.rank)[0]);var i=function(t,e,n){for(var r=[],o=t.length,a=0;a<o;a++)a!==e?r.push(t[a]):r.push(n);return r}(a.shape,r,n),s=R([a.shape[r]]),u=a.as2D(-1,s),c=At(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(i);return null!=o&&(l=Fo(l,on(o))),l},e.prototype.segOpCompute=function(t,e,n,r,o){var a=t.shape[0],i=t.shape[1],s=function(t,e){var n,r=!1;for(t<=fo?(n=t,r=!0):n=j(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=j(t,n+1);return n}(i,o),u=new ws({windowSize:s,inSize:i,batchSize:a,numSegments:o},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===o?c:(n=Sn(0,o).tile([i/s]),this.segOpCompute(c,e,n,r,o))},e.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(nn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!s().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var o=tn(t.shape,r),a=o[0],i=R(o[1]),u=t.as2D(-1,i);return this.argReduce(u,n).reshape(a)}return this.argReducePacked(t,n)},e.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},e.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},e.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var o=new vi(t.shape,n,r);return this.compileAndRun(o,[t])},e.prototype.equal=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Xa("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.notEqual=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Xa("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Xa("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.lessEqual=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Xa("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Xa("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greaterEqual=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Xa("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalNot=function(t){var e=new _s(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},e.prototype.logicalAnd=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new Xa("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalOr=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new Xa("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.select=function(t,e,n){var r=new Cs(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],St(e.dtype,n.dtype))},e.prototype.where=function(t){je("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return fa(t.shape,e)},e.prototype.topk=function(t,e,n){return da(t.dataSync(),t.shape,t.dtype,e)},e.prototype.min=function(t,e){nn("min",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"min",a.dtype).reshape(r)},e.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.mod=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);nn("max",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"max",a.dtype).reshape(r)},e.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.all=function(t,e){nn("all",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"all",a.dtype).reshape(r)},e.prototype.any=function(t,e){nn("any",e,t.rank);var n=tn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"any",a.dtype).reshape(r)},e.prototype.floorDiv=function(t,e){if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new Xa("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",t.shape,e.shape);return this.compileAndRun(n,[t,e],"int32")},e.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Ga);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=St(t.dtype,e.dtype);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Ga,n);var r=new Xa(Ga,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.packedUnaryOp=function(t,e,n){var r=new au(t.shape,e);return this.compileAndRun(r,[t],n)},e.prototype.packedBinaryOp=function(t,e,n,r,o){void 0===o&&(o=!1);var a=new Qa(n,t.shape,e.shape,o);return this.compileAndRun(a,[t,e],r)},e.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,o=this.texData.get(t.dataId),a=this.texData.get(e.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map((function(o){var a=o[0],i=o[1],s=r.makeComplexComponentTensorInfo(t,a),u=r.makeComplexComponentTensorInfo(e,i),c=new Xa(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],St(a.dtype,i.dtype))})),s=i[0],u=i[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},e.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},e.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>s().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var o=t.map((function(t){return t.dtype})).reduce((function(t,e){return St(t,e)})),a=t.map((function(t){return t.shape})),i=s().getBool("WEBGL_PACK")?new va(t[0].shape,a):new pa(t[0].shape,a);return this.compileAndRun(i,t,o)},e.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,Ha);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=St(t.dtype,e.dtype);if(s().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,Ha,t.dtype);var r=new Xa(Ha,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.pow=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=St(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},e.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Vs,t.dtype);var e=new _s(t.shape,Vs);return this.compileAndRun(e,[t])},e.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Gs,t.dtype);var e=new _s(t.shape,Gs);return this.compileAndRun(e,[t])},e.prototype.sign=function(t){var e=new _s(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},e.prototype.isNaN=function(t){var e=new _s(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isInf=function(t){var e=new _s(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isFinite=function(t){var e=new _s(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.round=function(t){var e=new _s(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},e.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Hs,t.dtype);var e=new _s(t.shape,Hs);return this.compileAndRun(e,[t])},e.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,qs,t.dtype);var e=new _s(t.shape,qs);return this.compileAndRun(e,[t])},e.prototype.softmax=function(t,e){var n=F([e],t.shape),r=this.max(t,n),o=en(r.shape,n),a=this.subtract(t,r.reshape(o)),i=this.exp(a),s=this.sum(i,n).reshape(o);return co(i,s)},e.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",t.dtype);var e=new _s(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},e.prototype.log1p=function(t){var e=new _s(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},e.prototype.sqrt=function(t){var e=new _s(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},e.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new _s(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},e.prototype.reciprocal=function(t){var e=new _s(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},e.prototype.relu=function(t){var e;return e=s().getBool("WEBGL_PACK")?new au(t.shape,nu):new _s(t.shape,Ps),this.compileAndRun(e,[t])},e.prototype.relu6=function(t){var e;return e=s().getBool("WEBGL_PACK")?new au(t.shape,ru):new _s(t.shape,Ls),this.compileAndRun(e,[t])},e.prototype.prelu=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa($a,t.shape,e.shape):new Xa(ja,t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.elu=function(t){if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ou,t.dtype);var e=new _s(t.shape,Ws);return this.compileAndRun(e,[t])},e.prototype.eluDer=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new Xa("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.selu=function(t){var e=new _s(t.shape,Us);return this.compileAndRun(e,[t])},e.prototype.int=function(t){var e=new _s(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},e.prototype.clip=function(t,e,n){var r,o=(r=s().getBool("WEBGL_PACK_CLIP")?new Za(t.shape):new Ja(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,o)},e.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(s().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Bs,t.dtype);var e=new _s(t.shape,Bs);return this.compileAndRun(e,[t])},e.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new ti(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(t){var e=new _s(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},e.prototype.softplus=function(t){var e=new _s(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},e.prototype.sin=function(t){var e=new _s(t.shape,Ks);return this.compileAndRun(e,[t])},e.prototype.cos=function(t){var e=new _s(t.shape,js);return this.compileAndRun(e,[t])},e.prototype.tan=function(t){var e=new _s(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},e.prototype.asin=function(t){var e=new _s(t.shape,Xs);return this.compileAndRun(e,[t])},e.prototype.acos=function(t){var e=new _s(t.shape,Ys);return this.compileAndRun(e,[t])},e.prototype.atan=function(t){var e=new _s(t.shape,$s);return this.compileAndRun(e,[t])},e.prototype.atan2=function(t,e){var n=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Xa("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.sinh=function(t){var e=new _s(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.cosh=function(t){var e=new _s(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.tanh=function(t){var e=new _s(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},e.prototype.asinh=function(t){var e=new _s(t.shape,Qs);return this.compileAndRun(e,[t])},e.prototype.acosh=function(t){var e=new _s(t.shape,Js);return this.compileAndRun(e,[t])},e.prototype.atanh=function(t){var e=new _s(t.shape,Zs);return this.compileAndRun(e,[t])},e.prototype.erf=function(t){var e=new _s(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(e,[t])},e.prototype.step=function(t,e){var n=new _s(t.shape,function(t){return void 0===t&&(t=0),Os+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},e.prototype.conv2dByMatMul=function(t,e,n,r,o,a){var i=t.shape,u=this.texData.get(t.dataId),c=n.inChannels,l=i[0]*i[1]*i[2],h=n.outChannels,d="channelsLast"===n.dataFormat,f=(1===l||1===h)&&c>1e3,p=i[2]%2!=0&&!!u.isPacked;if(f||!s().getBool("WEBGL_LAZILY_UNPACK")||!s().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!p){var v=d?i[0]*i[1]*i[2]:i[0]*i[2]*i[3],m=this.reshape(t,[1,v,n.inChannels]),g=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:m,b:g,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),n.outShape)}var y=d?i[0]*i[1]*(i[2]+1):i[0]*i[2]*(i[3]+1),x={dataId:t.dataId,shape:[1,y,n.inChannels],dtype:t.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,b(De(u.shape,x.shape),(function(){return"packed reshape "+u.shape+" to "+x.shape+" isn't free"}));var C=this.reshape(e,[1,n.inChannels,n.outChannels]),E=this.fusedBatchMatMul({a:x,b:C,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),R=this.texData.get(E.dataId);return b(R.isPacked,(function(){return"batchMatMul result is expected to be packed"})),u.shape=w,R.shape=n.outShape,Bt.makeTensorFromDataId(E.dataId,n.outShape,E.dtype)},e.prototype.conv2dWithIm2Row=function(t,e,n,r,o,a){var i=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,h="channelsLast"===n.dataFormat,d=i*s*u,f=l*c,p=[d,f],v=t.squeeze([0]),m=e.reshape([1,d,-1]),g=new Qi(p,v.shape,n),y=this.compileAndRun(g,[v]).reshape([1,p[0],p[1]]),x=null!=r,b=null!=a,w=o?uu(o,!0):null,C=new rs(y.shape,[1,f,n.outChannels],!0,!1,x,w,b),E=[y,m];r&&E.push(r),b&&E.push(a);var R=this.compileAndRun(C,E);return h?R.reshape([1,l,c,n.outChannels]):R.reshape([1,n.outChannels,l,c])},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,o,a,i);if(s().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,o,a,i);var u=null!=o,c=null!=i,l=a?uu(a,!1):null,h=new li(r,u,l,c),d=[e,n];return o&&d.push(o),i&&d.push(i),this.compileAndRun(h,d)},e.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(s().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new li(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerInput=function(t,e,n){var r=new ai(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerFilter=function(t,e,n){var r=new oi(n);return this.compileAndRun(r,[t,e])},e.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,o=t.convInfo,a=t.bias,i=t.activation,u=t.preluActivationWeights,c=s().getBool("WEBGL_PACK_DEPTHWISECONV")&&o.strideWidth<=2&&o.outChannels/o.inChannels==1,l=i?uu(i,c):null,h=[n,r],d=null!=a,f=null!=u;return d&&h.push(a),f&&h.push(u),c?(e=new fi(o,d,l,f),this.compileAndRun(e,h)):(e=new di(o,d,l,f),this.compileAndRun(e,h))},e.prototype.depthwiseConv2D=function(t,e,n){var r;return s().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new fi(n),this.compileAndRun(r,[t,e])):(r=new di(n),this.compileAndRun(r,[t,e]))},e.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new ci(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new ui(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3d=function(t,e,n){var r=new hi(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerInput=function(t,e,n){var r=new si(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerFilter=function(t,e,n){var r=new ii(n);return this.compileAndRun(r,[t,e])},e.prototype.maxPool=function(t,e){var n=new cs(e,"max",!1);return this.compileAndRun(n,[t])},e.prototype.avgPool=function(t,e){var n=new cs(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPoolBackprop=function(t,e,n,r){var o=new cs(r,"max",!0),a=this.compileAndRun(o,[e]),i=new es(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},e.prototype.avgPoolBackprop=function(t,e,n){var r=new Ba(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.cast=function(t,e){return Xo(t,e,this)},e.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),o=0,a=0;a<t.rank;a++)a!==e&&(r[o++]=t.shape[a]);var i=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)i[e]=a,u[a]=this.slice(t,i,s).reshape(r);return u},e.prototype.avgPool3d=function(t,e){var n=new ls(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.avgPool3dBackprop=function(t,e,n){var r=new Pa(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.maxPool3d=function(t,e){var n=new ls(e,"max",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPool3dBackprop=function(t,e,n,r){var o=new ls(r,"max",!0),a=this.compileAndRun(o,[e]),i=new ns(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},e.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!De(t.shape,e)&&(null===n.texture||!De(n.shape,e))){var r=this.packedReshape(t,e);return Bt.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return Yo(t,e)},e.prototype.resizeBilinear=function(t,e,n,r){var o=s().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new vs(t.shape,e,n,r):new ps(t.shape,e,n,r);return this.compileAndRun(o,[t],"float32")},e.prototype.resizeBilinearBackprop=function(t,e,n){var r=new fs(t,e,n);return this.compileAndRun(r,[t])},e.prototype.resizeNearestNeighbor=function(t,e,n,r){var o=new gs(t.shape,e,n,r);return this.compileAndRun(o,[t])},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new ms(t,e,n);return this.compileAndRun(r,[t])},e.prototype.multinomial=function(t,e,n,r){var o=e?t:To(t),a=o.shape[0],i=o.shape[1],s=new os(a,i,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[o],"int32",u)},e.prototype.oneHot=function(t,e,n,r){var o=new as(t.size,e,n,r);return this.compileAndRun(o,[t])},e.prototype.diag=function(t){var e=new bi(t.size);return this.compileAndRun(e,[t])},e.prototype.nonMaxSuppression=function(t,e,n,r,o){return je("tf.nonMaxSuppression() in webgl locks the UI thread. 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t=this;if(!this.disposed){if(!s().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(e){t.gpgpu.deleteProgram(t.binaryCache[e].webGLProgram),delete t.binaryCache[e]}));this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}},e.prototype.floatPrecision=function(){var t=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=He((function(){if(!s().get("WEBGL_RENDER_FLOAT32_ENABLED")){var e=s().getBool("DEBUG");s().set("DEBUG",!1);var n=t.abs(vn(1e-8)).dataSync()[0];if(s().set("DEBUG",e),n>0)return 32}return 16}))),this.floatPrecisionValue},e.prototype.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},e.prototype.uploadToGPU=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.values,i=n.texture,s=n.usage,u=n.isPacked;if(null==i){var 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s=$e(t,"x","conv1d"),u=$e(e,"filter","conv1d"),c=s,l=!1;2===s.rank&&(l=!0,c=s.as3D(1,s.shape[0],s.shape[1])),b(3===c.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+c.rank+"."})),b(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),null!=i&&b(k(r),(function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+r+"."})),b(c.shape[2]===u.shape[1],(function(){return"Error in conv1d: depth of input ("+c.shape[2]+") must match input depth for filter "+u.shape[1]+"."})),b(Ko(n,a),(function(){return"Error in conv1D: Either stride or dilation must be 1. 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only NHWC is supported");b(4===l.rank,(function(){return"Error in separableConv2d: input must be rank 4, but got rank "+l.rank+"."})),b(4===u.rank,(function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."})),b(4===c.rank,(function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."})),b(1===c.shape[0],(function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+c.shape[0]+"."})),b(1===c.shape[1],(function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+c.shape[1]+"."}));var d=u.shape[2],f=u.shape[3];b(c.shape[2]===d*f,(function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+d*f+", but got "+c.shape[2]+"."}));var p=zc(l,u,r,o,i,a),v=Pc(p,c,1,"valid",i);return h?v.as3D(v.shape[1],v.shape[2],v.shape[3]):v}}),qc=cn({conv2dTranspose_:function(t,e,n,r,o,a){return _c(n,$e(t,"x","conv2dTranspose"),$e(e,"filter","conv2dTranspose"),r,o,"NHWC",a)}}),Kc=cn({conv3dTranspose_:function(t,e,n,r,o){return Mc(n,$e(t,"x","conv3dTranspose"),$e(e,"filter","conv3dTranspose"),r,o)}});var jc=cn({matMul_:function(t,e,n,r){var o;void 0===n&&(n=!1),void 0===r&&(r=!1);var a=$e(t,"a","matMul"),i=$e(e,"b","matMul");o=Nt(a,i),a=o[0],i=o[1];var s=n?a.shape[a.rank-2]:a.shape[a.rank-1],u=r?i.shape[i.rank-1]:i.shape[i.rank-2],c=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?i.shape[i.rank-2]:i.shape[i.rank-1],h=a.shape.slice(0,-2),d=i.shape.slice(0,-2),f=R(h),p=R(d);b(a.rank>=2&&i.rank>=2&&a.rank===i.rank,(function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+i.rank+"."})),b(I(h,d),(function(){return"Error in matMul: outer dimensions ("+h+") and ("+d+") of Tensors with shapes "+a.shape+" and "+i.shape+" must match."})),b(s===u,(function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+n+" and transposeB="+r+" must match."}));var v=a.shape.slice(0,-2).concat([c,l]),m=n?a.as3D(f,s,c):a.as3D(f,c,s),g=r?i.as3D(p,l,u):i.as3D(p,u,l),y={transposeA:n,transposeB:r};return Bt.runKernelFunc((function(t,e){var o=t.batchMatMul(m,g,n,r);return e([m,g]),o}),{a:m,b:g},(function(t,e){var o=e,a=o[0],i=o[1];return n||r?!n&&r?{a:function(){return t.matMul(i,!1,!1)},b:function(){return t.matMul(a,!0,!1)}}:n&&!r?{a:function(){return i.matMul(t,!1,!0)},b:function(){return a.matMul(t,!1,!1)}}:{a:function(){return i.matMul(t,!0,!0)},b:function(){return t.matMul(a,!0,!0)}}:{a:function(){return t.matMul(i,!1,!0)},b:function(){return a.matMul(t,!0,!1)}}}),"BatchMatMul",y).reshape(v)}}),Xc=cn({dot_:function(t,e){var n=$e(t,"t1","dot"),r=$e(e,"t2","dot");b(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),(function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."}));var o=1===n.rank?n.size:n.shape[1],a=1===r.rank?r.size:r.shape[0];return b(o===a,(function(){return"Error in dot: inner dimensions of inputs must match, but got "+o+" and "+a+"."})),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),Yc=cn({outerProduct_:function(t,e){var n=$e(t,"v1","outerProduct"),r=$e(e,"v2","outerProduct");return b(1===n.rank&&1===r.rank,(function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."})),n.as2D(-1,1).matMul(r.as2D(1,-1))}});var $c=cn({reverse_:function(t,e){var n=$e(t,"x","reverse");if(0===n.rank)return n.clone();var r=F(e,n.shape);return Bt.runKernelFunc((function(t){return t.reverse(n,r)}),{$x:n},(function(t){return{$x:function(){return t.reverse(r)}}})).reshapeAs(n)}}),Qc=cn({reverse1d_:function(t){var e=$e(t,"x","reverse");return b(1===e.rank,(function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."})),$c(e,0)}}),Jc=cn({reverse2d_:function(t,e){var n=$e(t,"x","reverse");return b(2===n.rank,(function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."})),$c(n,e)}}),Zc=cn({reverse3d_:function(t,e){var n=$e(t,"x","reverse");return b(3===n.rank,(function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."})),$c(n,e)}}),tl=cn({reverse4d_:function(t,e){var n=$e(t,"x","reverse");return b(4===n.rank,(function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."})),$c(n,e)}});function el(t,e,n,r,o,a){var i=$e(t,"x","maxPool"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),null==r&&(r=[1,1]),b(4===s.rank,(function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."})),b(Ko(n,r),(function(){return"Error in maxPool: Either strides or dilations must be 1. 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b(2===r.rank,(function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"})),cl(r,e,n)}}),dl=cn({slice3d_:function(t,e,n){var r=$e(t,"x","slice3d");return b(3===r.rank,(function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"})),cl(r,e,n)}}),fl=cn({slice4d_:function(t,e,n){var r=$e(t,"x","slice4d");return b(4===r.rank,(function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"})),cl(r,e,n)}});function pl(t,e,n,r,o){return e.rank<n.rank&&(e=e.reshape(en(e.shape,r))),t.rank<n.rank&&(t=t.reshape(en(t.shape,r))),{x:function(){var r=t.mul(n.equal(e).cast(t.dtype));return null==o?r:r.transpose(o)}}}var vl=cn({all_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=$e(t,"x","all","bool"),o=F(e,r.shape),a=o,i=rn(a,r.rank);null!=i&&(r=r.transpose(i),a=an(a.length,r.rank));var s=Bt.runKernelFunc((function(t){return t.all(r,a)}),{$x:r});if(n){var u=en(s.shape,o);return s.reshape(u)}return 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n=t.shape.slice();return o.forEach((function(t){n[t]=1})),e.reshape(n).mul(En(t.shape,"float32"))},s={axes:r},u=Bt.runKernelFunc((function(t){return t.sum(a,r)}),{x:a},(function(t){return{x:function(){return i(t)}}}),"Sum",s);if(n){var c=en(u.shape,o);u=u.reshape(c)}return{value:u,gradFunc:i}}))(r)}}),Il=cn({prod_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=$e(t,"x","prod");"bool"===r.dtype&&(r=r.toInt());var o=F(e,r.shape),a=rn(o,r.rank),i=o,s=r;null!=a&&(s=r.transpose(a),i=an(i.length,r.rank));var u=Bt.runKernelFunc((function(t){return t.prod(s,i)}),{permutedX:s});if(n){var c=en(u.shape,o);u=u.reshape(c)}return u}});var kl=cn({elu_:function(t){var e=$e(t,"x","elu");return Bt.runKernelFunc((function(t,n){var r=t.elu(e);return n([r]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){return Bt.runKernelFunc((function(e){return e.eluDer(t,n)}),{dy:t,y:n})}}}))}}),Sl=cn({leakyRelu_:function(t,e){void 0===e&&(e=.2);var n=$e(t,"x","leakyRelu");return 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e=$e(t,"x","selu");return Bt.runKernelFunc((function(t,n){var r=t.selu(e);return n([e]),r}),{$x:e},(function(t,e){var n=e[0];return{$x:function(){var e=n.greater(vn(0)),r=vn(Ds),o=vn(Fs),a=t.mul(o),i=t.mul(r).mul(n.toFloat().exp());return Vu(e,a,i)}}}))}});var Fl=cn({localResponseNormalization_:function(t,e,n,r,o){void 0===e&&(e=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===o&&(o=.5);var a=$e(t,"x","localResponseNormalization");b(4===a.rank||3===a.rank,(function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+a.rank+"."})),b(k(e),(function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+e+"."}));var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2]));var u=Bt.runKernelFunc((function(t,a){var s=t.localResponseNormalization4D(i,e,n,r,o);return a([i,s]),s}),{x4D:i},(function(t,a){var i=a[0],s=a[1];return{x4D:function(){return Bt.runKernelFunc((function(a){return a.LRNGrad(t,i,s,e,n,r,o)}),{})}}}));return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}});var _l=cn({norm_:function(t,e,n,r){void 0===e&&(e="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var o=function t(e,n,r){void 0===r&&(r=null);if(0===e.rank)return e.abs();if(1!==e.rank&&null===r)return t(e.reshape([-1]),n,r);if(1===e.rank||"number"==typeof r||Array.isArray(r)&&1===r.length){if(1===n)return e.abs().sum(r);if(n===1/0)return e.abs().max(r);if(n===-1/0)return e.abs().min(r);if("euclidean"===n||2===n)return e.abs().pow(vn(2,"int32")).sum(r).sqrt();throw new Error("Error in norm: invalid ord value: "+n)}if(Array.isArray(r)&&2===r.length){if(1===n)return e.abs().sum(r[0]).max(r[1]-1);if(n===1/0)return e.abs().sum(r[1]).max(r[0]);if(n===-1/0)return e.abs().sum(r[1]).min(r[0]);if("fro"===n||"euclidean"===n)return e.square().sum(r).sqrt();throw new Error("Error in norm: invalid ord value: "+n)}throw new Error("Error in norm: invalid axis: 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a=$e(t,"v","movingAverage"),i=$e(e,"x","movingAverage"),s=$e(n,"decay","movingAverage");Tt(a,i),b(I(a.shape,i.shape),(function(){return"Shape mismatch in v and x"}));var u=vn(1),c=u.sub(s),l=i.sub(a).mul(c);if(o){b(null!=r,(function(){return"When using zeroDebias: true, step is required."}));var h=$e(r,"step","movingAverage");l=l.div(u.sub(oo(s,h)))}return a.add(l)}});var Pl=cn({stridedSlice_:function(t,e,n,r,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),null==r&&(r=new Array(e.length)),0!==i)throw new Error("ellipsis mask is not yet supported");var c=$e(t,"x","stridedSlice"),l=bo(s),h=c.shape.slice();l.forEach((function(t){e[t]=0,n[t]=1,h.splice(t,0,1)})),c=c.reshape(h);for(var d=0;d<c.rank;d++)e[d]=Co(o,e,r,c.shape,d),n[d]=Eo(a,n,r,c.shape,d),r[d]=r[d]||1;var f=bo(u);f.forEach((function(t){n[t]=e[t]+1,r[t]=1}));var p=wo(e,n,r),v=p.filter((function(t,e){return-1===f.indexOf(e)}));return r.every((function(t){return 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Bt.runKernelFunc((function(t){return t.fft(r)}),{input:t}).reshape(t.shape)}}),zl=cn({ifft_:function(t){b("complex64"===t.dtype,(function(){return"The dtype for tf.spectral.ifft() must be complex64 but got "+t.dtype+"."}));var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return Bt.runKernelFunc((function(t){return t.ifft(r)}),{input:t}).reshape(t.shape)}}),Vl=cn({rfft_:function(t,e){b("float32"===t.dtype,(function(){return"The dtype for rfft() must be real value but got "+t.dtype}));var n,r=t.shape[t.shape.length-1],o=t.size/r;if(null!=e&&e<r){var a=t.shape.map((function(t){return 0})),i=t.shape.map((function(t){return t}));i[t.shape.length-1]=e,n=t.slice(a,i),r=e}else if(null!=e&&e>r){var s=t.shape.map((function(t){return t}));s[t.shape.length-1]=e-r,n=t.concat(Rn(s),t.shape.length-1),r=e}else n=t;var u=n.zerosLike(),c=ln(n,u).as2D(o,r),l=Ul(c),h=Math.floor(r/2)+1,d=hn(l),f=dn(l),p=d.split([h,r-h],d.shape.length-1),v=f.split([h,r-h],f.shape.length-1),m=n.shape.slice();return 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oh(c,u,a)}}),ih=cn({hingeLoss_:function(e,n,r,o){void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=$e(e,"labels","hingeLoss"),i=$e(n,"predictions","hingeLoss"),s=null;null!=r&&(s=$e(r,"weights","hingeLoss")),w(a.shape,i.shape,"Error in hingeLoss: ");var u=vn(1);a=vn(2).mul(a).sub(u);var c=u.sub(a.mul(i)).relu();return oh(c,s,o)}}),sh=cn({huberLoss_:function(e,n,r,o,a){void 0===o&&(o=1),void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=$e(e,"labels","huberLoss"),s=$e(n,"predictions","huberLoss"),u=null;null!=r&&(u=$e(r,"weights","huberLoss")),w(i.shape,s.shape,"Error in huberLoss: ");var c=vn(o),l=s.sub(i).abs(),h=Jr(l,c),d=l.sub(h),f=vn(.5).mul(h.square()).add(c.mul(d));return oh(f,u,a)}}),uh=cn({logLoss_:function(e,n,r,o,a){void 0===o&&(o=1e-7),void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=$e(e,"labels","logLoss"),s=$e(n,"predictions","logLoss"),u=null;null!=r&&(u=$e(r,"weights","logLoss")),w(i.shape,s.shape,"Error in logLoss: ");var c=vn(1),l=vn(o),h=i.mul(s.add(l).log()).neg().sub(c.sub(i).mul(c.sub(s).add(l).log()));return oh(h,u,a)}}),ch=cn({meanSquaredError_:function(e,n,r,o){void 0===o&&(o=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=$e(e,"labels","meanSquaredError"),i=$e(n,"predictions","meanSquaredError"),s=null;null!=r&&(s=$e(r,"weights","meanSquaredError")),w(a.shape,i.shape,"Error in meanSquaredError: ");var u=a.squaredDifference(i);return oh(u,s,o)}}),lh=cn({sigmoidCrossEntropy_:function(e,n,r,o,a){void 0===o&&(o=0),void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=$e(e,"multiClassLabels","sigmoidCrossEntropy"),s=$e(n,"logits","sigmoidCrossEntropy"),u=null;if(null!=r&&(u=$e(r,"weights","sigmoidCrossEntropy")),w(i.shape,s.shape,"Error in sigmoidCrossEntropy: "),o>0){var c=vn(o),l=vn(1),h=vn(.5);i=i.mul(l.sub(c)).add(h.mul(c))}var d=function(t,e){var n=$e(t,"labels","sigmoidCrossEntropyWithLogits"),r=$e(e,"logits","sigmoidCrossEntropyWithLogits");w(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var o=r.relu(),a=r.mul(n),i=r.abs().neg().exp().log1p();return o.sub(a).add(i)}(i,s);return oh(d,u,a)}}),hh=cn({softmaxCrossEntropy_:function(e,n,r,o,a){void 0===o&&(o=0),void 0===a&&(a=t.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=$e(e,"onehotLabels","softmaxCrossEntropy"),s=$e(n,"logits","softmaxCrossEntropy"),u=null;if(null!=r&&(u=$e(r,"weights","softmaxCrossEntropy")),w(i.shape,s.shape,"Error in softmaxCrossEntropy: "),o>0){var c=vn(o),l=vn(1),h=vn(i.shape[1]);i=i.mul(l.sub(c)).add(c.div(h))}var d=function(t,e,n){if(void 0===n&&(n=-1),-1===n&&(n=e.rank-1),n!==e.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank "+e.rank+" and dim was "+n);return Ao((function(t,e,r){var o=e.logSumExp([n],!0),a=e.toFloat().sub(o);r([t,a]);return{value:a.mul(t).neg().sum([n]),gradFunc:function(t,e){var r=e[0],o=e[1],a=en(t.shape,[n]);return[t.reshape(a).mul(r.toFloat().sub(o.exp())),t.reshape(a).mul(o.exp().sub(r.toFloat()))]}}}))(t,e)}(i,s);return oh(d,u,a)}}),dh=Object.freeze({get Reduction(){return t.Reduction},absoluteDifference:rh,computeWeightedLoss:oh,cosineDistance:ah,hingeLoss:ih,huberLoss:sh,logLoss:uh,meanSquaredError:ch,sigmoidCrossEntropy:lh,softmaxCrossEntropy:hh});function fh(t,e){return void 0===e&&(e=!1),Bt.tidy((function(){if(2!==t.shape.length)throw new Error("qr2d() requires a 2D Tensor, but got a "+t.shape.length+"D Tensor.");for(var n=t.shape[0],r=t.shape[1],o=Ku(n),a=t.clone(),i=gn([[1]],[1,1]),s=i.clone(),u=n>=r?r:n,c=function(t){var e,u=a,c=s,l=o;e=Bt.tidy((function(){var e=a.slice([t,t],[n-t,1]),u=e.norm(),c=a.slice([t,t],[1,1]),l=gn([[-1]]).where(c.greater(0),gn([[1]])),h=c.sub(l.mul(u)),d=e.div(h);s=1===d.shape[0]?i.clone():i.concat(d.slice([1,0],[d.shape[0]-1,d.shape[1]]),0);var f=l.matMul(h).div(u).neg(),p=a.slice([t,0],[n-t,r]),v=f.mul(s),m=s.transpose();if(0===t)a=p.sub(v.matMul(m.matMul(p)));else{var g=p.sub(v.matMul(m.matMul(p)));a=a.slice([0,0],[t,r]).concat(g,0)}var y=v.transpose(),x=o.slice([0,t],[n,o.shape[1]-t]);if(0===t)o=x.sub(x.matMul(s).matMul(y));else{var b=x.sub(x.matMul(s).matMul(y));o=o.slice([0,0],[n,t]).concat(b,1)}return[s,a,o]})),s=e[0],a=e[1],o=e[2],qe([u,c,l])},l=0;l<u;++l)c(l);return!e&&n>r&&(o=o.slice([0,0],[n,r]),a=a.slice([0,0],[r,r])),[o,a]}))}var ph=cn({bandPart_:function(t,e,n){if(e%1!=0)throw new Error("bandPart(): numLower must be an integer, got "+e+".");if(n%1!=0)throw new Error("bandPart(): numUpper must be an integer, got "+n+".");var r=$e(t,"a","bandPart");if(r.rank<2)throw new Error("bandPart(): Rank must be at least 2, got "+r.rank+".");var o=r.shape,a=r.shape.slice(-2),i=a[0],s=a[1];if(!(e<=i))throw new Error("bandPart(): numLower ("+e+") must not be greater than the number of rows ("+i+").");if(!(n<=s))throw new Error("bandPart(): numUpper ("+n+") must not be greater than the number of columns ("+s+").");e<0&&(e=i),n<0&&(n=s);var u=Sn(0,i,1,"int32").reshape([-1,1]),c=Sn(0,s,1,"int32"),l=so(u,c),h=Lu(l.lessEqual(vn(+e,"int32")),l.greaterEqual(vn(-n,"int32"))),d=Rn([i,s],r.dtype);return Kn(jn(r.reshape([-1,i,s])).map((function(t){return Vu(h,t,d)}))).reshape(o)}}),vh=cn({gramSchmidt_:function(t){var e;if(Array.isArray(t)){e=!1,b(null!=t&&t.length>0,(function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"}));for(var n=t[0].shape[0],r=function(e){b(t[e].shape[0]===n,(function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+t[e].shape[0]+" vs. "+n+")"}))},o=1;o<t.length;++o)r(o)}else e=!0,t=Mn(t,t.shape[0],0).map((function(t){return qn(t,[0])}));b(t.length<=t[0].shape[0],(function(){return"Gram-Schmidt: Number of vectors ("+t.length+") exceeds number of dimensions ("+t[0].shape[0]+")."}));var a=[],i=t,s=function(t){a.push(Bt.tidy((function(){var e=i[t];if(t>0)for(var n=0;n<t;++n){var r=Rl(a[n].mulStrict(e)).mul(a[n]);e=e.sub(r)}return e.div(_l(e,"euclidean"))})))};for(o=0;o<t.length;++o)s(o);return e?Kn(a,0):a}}),mh=cn({qr_:function(t,e){if(void 0===e&&(e=!1),t.rank<2)throw new Error("qr() requires input tensor to have a rank >= 2, but got rank "+t.rank);if(2===t.rank)return fh(t,e);var n=t.shape.slice(0,t.shape.length-2).reduce((function(t,e){return t*e})),r=jn(t.reshape([n,t.shape[t.shape.length-2],t.shape[t.shape.length-1]]),0),o=[],a=[];return r.forEach((function(t){var n=fh(t,e),r=n[0],i=n[1];o.push(r),a.push(i)})),[Kn(o,0).reshape(t.shape),Kn(a,0).reshape(t.shape)]}}),gh=Object.freeze({bandPart:ph,gramSchmidt:vh,qr:mh});function yh(t,e,n,r,o,a){null==r&&(r=.5),null==o&&(o=Number.NEGATIVE_INFINITY),null==a&&(a=0);var i=t.shape[0];return n=Math.min(n,i),b(0<=r&&r<=1,(function(){return"iouThreshold must be in [0, 1], but was '"+r+"'"})),b(2===t.rank,(function(){return"boxes must be a 2D tensor, but was of rank '"+t.rank+"'"})),b(4===t.shape[1],(function(){return"boxes must have 4 columns, but 2nd dimension was "+t.shape[1]})),b(1===e.rank,(function(){return"scores must be a 1D tensor"})),b(e.shape[0]===i,(function(){return"scores has incompatible shape with boxes. Expected "+i+", but was "+e.shape[0]})),b(0<=a&&a<=1,(function(){return"softNmsSigma must be in [0, 1], but was '"+a+"'"})),{maxOutputSize:n,iouThreshold:r,scoreThreshold:o,softNmsSigma:a}}var xh=cn({resizeBilinear_:function(t,e,n){void 0===n&&(n=!1);var r=$e(t,"images","resizeBilinear");b(3===r.rank||4===r.rank,(function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+r.rank+"."})),b(2===e.length,(function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+e+"."}));var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=e[0],s=e[1],u=Bt.runKernelFunc((function(t,e){return e([o]),t.resizeBilinear(o,i,s,n)}),{x:o},(function(t,e){return{x:function(){return Bt.runKernelFunc((function(r){return r.resizeBilinearBackprop(t,e[0],n)}),{})}}}),"ResizeBilinear",{alignCorners:n,newHeight:i,newWidth:s});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),bh=cn({resizeNearestNeighbor_:function(t,e,n){void 0===n&&(n=!1);var r=$e(t,"images","resizeNearestNeighbor");b(3===r.rank||4===r.rank,(function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."})),b(2===e.length,(function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."})),b("float32"===r.dtype||"int32"===r.dtype,(function(){return"`images` must have `int32` or `float32` as dtype"}));var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=e[0],s=e[1],u=Bt.runKernelFunc((function(t,e){return e([o]),t.resizeNearestNeighbor(o,i,s,n)}),{batchImages:o},(function(t,e){return{batchImages:function(){return Bt.runKernelFunc((function(r){return r.resizeNearestNeighborBackprop(t,e[0],n)}),{})}}}));return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),wh=cn({nonMaxSuppression_:function(t,e,n,r,o){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var a=$e(t,"boxes","nonMaxSuppression"),i=$e(e,"scores","nonMaxSuppression"),s=yh(a,i,n,r,o);n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold;var u={maxOutputSize:n,iouThreshold:r,scoreThreshold:o};return Bt.runKernelFunc((function(t){return t.nonMaxSuppression(a,i,n,r,o)}),{boxes:a,scores:i},null,"NonMaxSuppressionV3",u)}}),Ch=function(t,e,n,a,i){return void 0===a&&(a=.5),void 0===i&&(i=Number.NEGATIVE_INFINITY),r(this,void 0,void 0,(function(){var r,s,u,c,l,h,d;return o(this,(function(o){switch(o.label){case 0:return r=$e(t,"boxes","nonMaxSuppressionAsync"),s=$e(e,"scores","nonMaxSuppressionAsync"),u=yh(r,s,n,a,i),n=u.maxOutputSize,a=u.iouThreshold,i=u.scoreThreshold,[4,Promise.all([r.data(),s.data()])];case 1:return c=o.sent(),l=c[0],h=c[1],d=oa(l,h,n,a,i),r!==t&&r.dispose(),s!==e&&s.dispose(),[2,d]}}))}))},Eh=cn({nonMaxSuppressionWithScore_:function(t,e,n,r,o,a){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),void 0===a&&(a=0);var 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e=Rn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.max(0,r[o]);return e},e.prototype.relu6=function(t){Bh(t,"relu");for(var e=Rn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.min(Math.max(0,r[o]),6);return e},e.prototype.prelu=function(t,e){return Bh([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return t<0?e*t:t}))},e.prototype.elu=function(t){Bh(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=n[r];e[r]=o>=0?o:Math.exp(o)-1}return this.makeOutput(e,t.shape,"float32")},e.prototype.eluDer=function(t,e){Bh([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),o=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];n[a]=i>=1?o[a]:o[a]*(i+1)}return this.makeOutput(n,e.shape,"float32")},e.prototype.selu=function(t){Bh(t,"selu");for(var e=Ds,n=Fs,r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>=0?n*i:e*(Math.exp(i)-1)}return this.makeOutput(r,t.shape,"float32")},e.prototype.clip=function(t,e,n){Bh(t,"clip");for(var r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>n?n:i<e?e:i}return this.makeOutput(r,t.shape,"float32")},e.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<t.size;++r){var o=n[2*r],a=n[2*r+1];e[r]=Math.hypot(o,a)}return this.makeOutput(e,t.shape,"float32")},e.prototype.int=function(t){Bh(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return this.makeOutput(e,t.shape,"int32")},e.prototype.sigmoid=function(t){Bh(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return this.makeOutput(e,t.shape,"float32")},e.prototype.softplus=function(t){Bh(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o]>-e,i=r[o]<e,s=Math.exp(r[o]),u=void 0;u=i?s:a?r[o]:Math.log(1+s),n[o]=u}return this.makeOutput(n,t.shape,"float32")},e.prototype.sin=function(t){Bh(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.cos=function(t){Bh(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.tan=function(t){Bh(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asin=function(t){Bh(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.acos=function(t){Bh(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atan=function(t){Bh(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atan2=function(t,e){return Bh([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.atan2(t,e)}))},e.prototype.sinh=function(t){Bh(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.cosh=function(t){Bh(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.tanh=function(t){Bh(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=S(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asinh=function(t){Bh(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.acosh=function(t){Bh(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atanh=function(t){Bh(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.erf=function(t){Bh(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=Math.sign(n[r]),a=Math.abs(n[r]),i=1/(1+.3275911*a);e[r]=o*(1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a))}return this.makeOutput(e,t.shape,"float32")},e.prototype.step=function(t,e){void 0===e&&(e=0),Bh(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o];isNaN(a)?n[o]=NaN:n[o]=a>0?1:e}return this.makeOutput(n,t.shape,"float32")},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.conv2d(e,n,r);return o&&(s=this.add(s,o)),a&&(s=Wh(this,s,a,i)),s},e.prototype.conv2d=function(t,e,n){Bh([t,e],"conv2d");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=Bn(n.outShape,t.dtype),h=t.strides[0],d=c?t.strides[1]:t.strides[2],f=c?t.strides[2]:1,p=c?1:t.strides[1],v=l.strides[0],m=c?l.strides[1]:l.strides[2],g=c?l.strides[2]:1,y=c?1:l.strides[1],x=this.readSync(t.dataId),b=this.readSync(e.dataId),w=l.values,C=0;C<n.batchSize;++C)for(var E=C*h,R=C*v,I=0;I<n.outHeight;++I)for(var k=R+I*m,S=I*n.strideHeight-u,A=0;A<r;A++){var N=S+A*a;if(!(N<0||N>=n.inHeight))for(var T=A*e.strides[0],D=E+N*d,F=0;F<n.outWidth;++F)for(var _=k+F*g,O=F*n.strideWidth-s,M=0;M<o;M++){var B=O+M*i;if(!(B<0||B>=n.inWidth))for(var P=D+B*f,L=T+M*e.strides[1],W=0;W<n.inChannels;++W){for(var U=x[P+W*p],z=0;z<n.outChannels;++z)w[_+z*y]+=U*b[L+z];L+=n.outChannels}}}return l.toTensor()},e.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,o=n.filterHeight,a=n.filterWidth,i=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,h=n.padInfo.top,d=Bn(n.outShape,t.dtype),f=this.readSync(t.dataId),p=this.readSync(e.dataId),v=d.values,m=0;m<n.batchSize;++m)for(var g=m*t.strides[0],y=m*d.strides[0],x=0;x<n.outDepth;++x)for(var b=y+x*d.strides[1],w=x*n.strideDepth-c,C=0;C<r;C++){var E=w+C*i;if(!(E<0||E>=n.inDepth))for(var R=C*e.strides[0],I=g+E*t.strides[1],k=0;k<n.outHeight;++k)for(var S=b+k*d.strides[2],A=k*n.strideHeight-h,N=0;N<o;N++){var T=A+N*s;if(!(T<0||T>=n.inHeight))for(var D=R+N*e.strides[1],F=I+T*t.strides[2],_=0;_<n.outWidth;++_)for(var O=S+_*n.outChannels,M=_*n.strideWidth-l,B=0;B<a;B++){var P=M+B*u;if(!(P<0||P>=n.inWidth))for(var L=D+B*e.strides[2],W=F+P*n.inChannels,U=L,z=0;z<n.inChannels;++z){for(var V=f[W+z],G=0;G<n.outChannels;++G)v[O+G]+=V*p[U+G];U+=n.outChannels}}}}return d.toTensor()},e.prototype.conv2dDerInput=function(t,e,n){Bh([t,e],"conv2dDerInput");for(var r=Bn(n.inShape,"float32"),o=r.values,a=this.readSync(t.dataId),i=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],h=n.batchSize,d=n.filterHeight,f=n.filterWidth,p=n.inChannels,v=n.inHeight,m=n.inWidth,g=n.outChannels,y=n.outHeight,x=n.outWidth,b=n.strideHeight,w=n.strideWidth,C=n.dataFormat,E=d-1-n.padInfo.top,R=f-1-n.padInfo.left,I="channelsLast"===C,k=r.strides[0],S=I?r.strides[1]:r.strides[2],A=I?r.strides[2]:1,N=I?1:r.strides[1],T=t.strides[0],D=I?t.strides[1]:t.strides[2],F=I?t.strides[2]:1,_=I?1:t.strides[1],O=0;O<h;++O)for(var M=0;M<p;++M)for(var B=0;B<v;++B)for(var P=B-E,L=Math.max(0,Math.ceil(P/b)),W=Math.min(y,(d+P)/b),U=0;U<m;++U){for(var z=U-R,V=Math.max(0,Math.ceil(z/w)),G=Math.min(x,(f+z)/w),H=0,q=L;q<W;++q)for(var K=q*b-P,j=V;j<G;++j)for(var X=T*O+D*q+F*j,Y=u*(d-1-K)+c*(f-1-(j*w-z))+l*M,$=0;$<g;++$){H+=a[X+_*$]*i[Y+$]}o[k*O+S*B+A*U+N*M]=H}return r.toTensor()},e.prototype.conv3dDerInput=function(t,e,n){for(var r=Bn(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(t.dataId),h=t.strides,d=h[0],f=h[1],p=h[2],v=h[3],m=this.readSync(e.dataId),g=e.strides,y=g[0],x=g[1],b=g[2],w=g[3],C=n.batchSize,E=n.filterDepth,R=n.filterHeight,I=n.filterWidth,k=n.inChannels,S=n.inDepth,A=n.inHeight,N=n.inWidth,T=n.outChannels,D=n.outDepth,F=n.outHeight,_=n.outWidth,O=n.strideDepth,M=n.strideHeight,B=n.strideWidth,P=E-1-n.padInfo.front,L=R-1-n.padInfo.top,W=I-1-n.padInfo.left,U=0;U<C;++U)for(var z=0;z<k;++z)for(var V=0;V<S;++V)for(var G=V-P,H=Math.max(0,Math.ceil(G/O)),q=Math.min(D,(E+G)/O),K=0;K<A;++K)for(var j=K-L,X=Math.max(0,Math.ceil(j/M)),Y=Math.min(F,(R+j)/M),$=0;$<N;++$){for(var Q=$-W,J=Math.max(0,Math.ceil(Q/B)),Z=Math.min(_,(I+Q)/B),tt=0,et=H;et<q;++et)for(var nt=et*O-G,rt=X;rt<Y;++rt)for(var ot=rt*M-j,at=J;at<Z;++at)for(var it=d*U+f*et+p*rt+v*at,st=y*(E-1-nt)+x*(R-1-ot)+b*(I-1-(at*B-Q))+w*z,ut=0;ut<T;++ut){tt+=l[it+ut]*m[st+ut]}o[i*U+s*V+u*K+c*$+z]=tt}return r.toTensor()},e.prototype.conv2dDerFilter=function(t,e,n){Bh([t,e],"conv2dDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s="channelsLast"===n.dataFormat,u=Bn(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,h=this.bufferSync(t),d=this.bufferSync(e),f=0;f<a;++f)for(var p=Math.max(0,Math.ceil((l-f)/r)),v=Math.min(n.outHeight,(n.inHeight+l-f)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((c-m)/o)),y=Math.min(n.outWidth,(n.inWidth+c-m)/o),x=0;x<n.inChannels;++x)for(var b=0;b<n.outChannels;++b){for(var w=0,C=0;C<n.batchSize;++C)for(var E=p;E<v;++E)for(var R=f+E*r-l,I=g;I<y;++I){var k=m+I*o-c;w+=s?h.get(C,R,k,x)*d.get(C,E,I,b):h.get(C,x,R,k)*d.get(C,b,E,I)}u.set(w,f,m,x,b)}return u.toTensor()},e.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=Bn(n.filterShape,"float32"),l=c.values,h=c.strides,d=h[0],f=h[1],p=h[2],v=h[3],m=this.readSync(e.dataId),g=e.strides,y=g[0],x=g[1],b=g[2],w=g[3],C=this.readSync(t.dataId),E=t.strides,R=E[0],I=E[1],k=E[2],S=E[3],A=n.padInfo.front,N=n.padInfo.left,T=n.padInfo.top,D=0;D<i;++D)for(var F=Math.max(0,Math.ceil((A-D)/r)),_=Math.min(n.outDepth,(n.inDepth+A-D)/r),O=D*d,M=0;M<s;++M)for(var B=Math.max(0,Math.ceil((T-M)/o)),P=Math.min(n.outHeight,(n.inHeight+T-M)/o),L=M*f+O,W=0;W<u;++W)for(var U=Math.max(0,Math.ceil((N-W)/a)),z=Math.min(n.outWidth,(n.inWidth+N-W)/a),V=W*p+L,G=0;G<n.inChannels;++G)for(var H=G*v+V,q=0;q<n.outChannels;++q){for(var K=0,j=0;j<n.batchSize;++j)for(var X=j*R,Y=j*y,$=F;$<_;++$)for(var Q=(D+$*r-A)*I+X,J=$*x+Y,Z=B;Z<P;++Z)for(var tt=(M+Z*o-T)*k+Q,et=Z*b+J,nt=U;nt<z;++nt){var rt=nt*w+et;K+=C[(W+nt*a-N)*S+tt+G]*m[rt+q]}l[H+q]=K}return c.toTensor()},e.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return o&&(s=this.add(s,o)),a&&(s=Wh(this,s,a,i)),s},e.prototype.depthwiseConv2D=function(t,e,n){Bh([t,e],"depthwiseConv2D");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=Bn(n.outShape,t.dtype),h=this.readSync(t.dataId),d=this.readSync(e.dataId),f=l.values,p=0;p<n.batchSize;++p)for(var v=p*t.strides[0],m=p*l.strides[0],g=0;g<n.outHeight;++g)for(var y=m+g*l.strides[1],x=g*n.strideHeight-s,b=0;b<r;++b){var w=x+b*a;if(!(w<0||w>=n.inHeight))for(var C=b*e.strides[0],E=v+w*t.strides[1],R=0;R<n.outWidth;++R)for(var I=y+R*l.strides[2],k=R*n.strideWidth-u,S=0;S<o;++S){var A=k+S*i;if(!(A<0||A>=n.inWidth))for(var N=C+S*e.strides[1],T=E+A*n.inChannels,D=I,F=N,_=0;_<n.inChannels;++_){for(var O=h[T+_],M=0;M<c;++M)f[D+M]+=O*d[F+M];D+=c,F+=c}}}return l.toTensor()},e.prototype.depthwiseConv2DDerInput=function(t,e,n){Bh([t,e],"depthwiseConv2DDerInput");for(var r=Bn(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=this.readSync(t.dataId),l=t.strides,h=l[0],d=l[1],f=l[2],p=this.readSync(e.dataId),v=e.strides,m=v[0],g=v[1],y=v[2],x=n.batchSize,b=n.filterHeight,w=n.filterWidth,C=n.inChannels,E=n.inHeight,R=n.inWidth,I=n.outChannels,k=n.outHeight,S=n.outWidth,A=n.strideHeight,N=n.strideWidth,T=b-1-n.padInfo.top,D=w-1-n.padInfo.left,F=I/C,_=0;_<x;++_)for(var O=0;O<C;++O)for(var M=0;M<E;++M)for(var B=M-T,P=Math.max(0,Math.ceil(B/A)),L=Math.min(k,(b+B)/A),W=0;W<R;++W){for(var U=W-D,z=Math.max(0,Math.ceil(U/N)),V=Math.min(S,(w+U)/N),G=0,H=P;H<L;++H)for(var q=H*A-B,K=z;K<V;++K)for(var j=h*_+d*H+f*K,X=m*(b-1-q)+g*(w-1-(K*N-U))+y*O,Y=0;Y<F;++Y){G+=c[j+(O*F+Y)]*p[X+Y]}o[i*_+s*M+u*W+O]=G}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){Bh([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=Bn(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,h=this.bufferSync(t),d=this.bufferSync(e),f=0;f<a;++f)for(var p=Math.max(0,Math.ceil((c-f)/r)),v=Math.min(n.outHeight,(n.inHeight+c-f)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((u-m)/o)),y=Math.min(n.outWidth,(n.inWidth+u-m)/o),x=0;x<n.outChannels;++x){for(var b=Math.trunc(x/l),w=x%l,C=0,E=0;E<n.batchSize;++E)for(var R=p;R<v;++R)for(var I=f+R*r-c,k=g;k<y;++k){var S=m+k*o-u;C+=h.get(E,I,S,b)*d.get(E,R,k,x)}s.set(C,f,m,b,w)}return s.toTensor()},e.prototype.tile=function(t,e){return Bh(t,"tile"),ha(this.bufferSync(t),e)},e.prototype.pad=function(t,e,n){Bh(t,"pad");var r=e.map((function(e,n){return e[0]+t.shape[n]+e[1]})),o=e.map((function(t){return t[0]})),a=this.bufferSync(t),i=Bn(r,t.dtype);0!==n&&i.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),c=u.map((function(t,e){return t+o[e]}));i.set.apply(i,[a.get.apply(a,u)].concat(c))}return i.toTensor()},e.prototype.gather=function(t,e,n){Bh([t,e],"gather");var r=t.shape.slice(),o=this.readSync(e.dataId);r[n]=o.length;for(var a=Bn(r,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=o[u[n]];var l=i.locToIndex(c);a.values[s]=i.values[l]}return a.toTensor()},e.prototype.batchToSpaceND=function(t,e,n){Bh([t],"batchToSpaceND");var r=e.reduce((function(t,e){return t*e})),o=Yn(t.shape,e,r),a=$n(o.length,e.length),i=Qn(t.shape,e,r),s=Jn(n,e.length),u=Zn(i,n,e.length);return Fo(t.reshape(o),a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){Bh([t],"spaceToBatchND");var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=Yn(i.shape,e,r,!1),u=$n(s.length,e.length,!1),c=Qn(i.shape,e,r,!1);return Fo(i.reshape(s),u).reshape(c)},e.prototype.maxPool=function(t,e){return Bh(t,"maxPool"),Ph(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"max").toTensor()},e.prototype.maxPoolBackprop=function(t,e,n,r){Bh([e,n],"maxPoolBackprop");for(var o=this.readSync(e.dataId),a=Bn(r.outShape,e.dtype,Lh(o,e.shape,e.dtype,r).values),i=r.strideHeight,s=r.strideWidth,u=r.dilationHeight,c=r.dilationWidth,l=r.effectiveFilterHeight,h=r.effectiveFilterWidth,d=h-1-r.padInfo.left,f=l-1-r.padInfo.top,p=Bn(e.shape,"float32"),v=this.bufferSync(t),m=0;m<r.batchSize;++m)for(var g=0;g<r.inChannels;++g)for(var y=0;y<r.inHeight;++y)for(var x=0;x<r.inWidth;++x){for(var b=y-f,w=x-d,C=0,E=0;E<l;E+=u){var R=(b+E)/i;if(!(R<0||R>=r.outHeight||Math.floor(R)!==R))for(var I=0;I<h;I+=c){var k=(w+I)/s;if(!(k<0||k>=r.outWidth||Math.floor(k)!==k)){var S=l*h-1-a.get(m,R,k,g)===E*h+I?1:0;if(0!==S)C+=v.get(m,R,k,g)*S}}}p.set(C,m,y,x,g)}return p.toTensor()},e.prototype.avgPoolBackprop=function(t,e,n){Bh([t,e],"avgPoolBackprop");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,h=l-1-n.padInfo.left,d=c-1-n.padInfo.top,f=Bn(e.shape,"float32"),p=1/(a*i),v=this.bufferSync(t),m=0;m<n.batchSize;++m)for(var g=0;g<n.inChannels;++g)for(var y=0;y<n.inHeight;++y)for(var x=0;x<n.inWidth;++x){for(var b=y-d,w=x-h,C=0,E=0;E<c;E+=s){var R=(b+E)/r;if(!(R<0||R>=n.outHeight||Math.floor(R)!==R))for(var I=0;I<l;I+=u){var k=(w+I)/o;if(!(k<0||k>=n.outWidth||Math.floor(k)!==k))C+=v.get(m,R,k,g)}}f.set(C*p,m,y,x,g)}return f.toTensor()},e.prototype.pool3d=function(t,e,n){Bh(t,"pool3d");for(var r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,d=e.padInfo.front,f=e.padInfo.top,p=e.padInfo.left,v="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=this.readSync(t.dataId),g=Bn(e.outShape,t.dtype),y=g.values,x=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],b=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],E=0;E<e.batchSize;++E)for(var R=E*x,I=E*t.strides[0],k=0;k<e.inChannels;++k)for(var S=0;S<e.outDepth;++S){for(var A=S*r-d,N=A;N<0;)N+=i;for(var T=Math.min(e.inDepth,c+A),D=R+S*b,F=0;F<e.outHeight;++F){for(var _=F*o-f,O=_;O<0;)O+=s;for(var M=Math.min(e.inHeight,l+_),B=D+F*w,P=0;P<e.outWidth;++P){for(var L=P*a-p,W=L;W<0;)W+=u;for(var U=Math.min(e.inWidth,h+L),z=B+P*C,V=v,G=0,H=0,q=N;q<T;q+=i){for(var K=I+q*t.strides[1],j=O;j<M;j+=s){for(var X=K+j*t.strides[2],Y=W;Y<U;Y+=u){var $=m[X+Y*t.strides[3]+k];if("max"===n&&$>V?V=$:"avg"===n&&(G+=$,H++),isNaN(V))break}if(isNaN(V))break}if(isNaN(V))break}y[z+k]="avg"===n?G/H:V}}}return g.toTensor()},e.prototype.avgPool3d=function(t,e){return Bh(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},e.prototype.avgPool3dBackprop=function(t,e,n){Bh([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,h=n.dilationWidth,d=n.effectiveFilterDepth,f=n.effectiveFilterHeight,p=n.effectiveFilterWidth,v=d-1-n.padInfo.front,m=p-1-n.padInfo.left,g=f-1-n.padInfo.top,y=Bn(e.shape,"float32"),x=1/(i*s*u),b=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var E=0;E<n.inDepth;++E)for(var R=0;R<n.inHeight;++R)for(var I=0;I<n.inWidth;++I){for(var k=E-v,S=R-g,A=I-m,N=0,T=0;T<d;T+=c){var D=(k+T)/r;if(!(D<0||D>=n.outDepth||Math.floor(D)!==D))for(var F=0;F<f;F+=l){var _=(S+F)/o;if(!(_<0||_>=n.outHeight||Math.floor(_)!==_))for(var O=0;O<p;O+=h){var M=(A+O)/a;if(!(M<0||M>=n.outWidth||Math.floor(M)!==M))N+=b.get(w,D,_,M,C)}}}y.set(N*x,w,E,R,I,C)}return y.toTensor()},e.prototype.maxPool3d=function(t,e){return Bh(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},e.prototype.maxPool3dPositions=function(t,e){for(var n=Bn(e.outShape,"int32"),r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,d=e.padInfo.front,f=e.padInfo.top,p=e.padInfo.left,v=this.bufferSync(t),m=0;m<e.batchSize;++m)for(var g=0;g<e.inChannels;++g)for(var y=0;y<e.outDepth;++y){for(var x=y*r-d,b=x;b<0;)b+=i;for(var w=Math.min(e.inDepth,c+x),C=0;C<e.outHeight;++C){for(var E=C*o-f,R=E;R<0;)R+=s;for(var I=Math.min(e.inHeight,l+E),k=0;k<e.outWidth;++k){for(var S=k*a-p,A=S;A<0;)A+=u;for(var N=Math.min(e.inWidth,h+S),T=Number.NEGATIVE_INFINITY,D=-1,F=b;F<w;F+=i)for(var _=F-x,O=R;O<I;O+=s)for(var M=O-E,B=A;B<N;B+=u){var P=B-S,L=v.get(m,F,O,B,g);L>=T&&(T=L,D=_*l*h+M*l+P)}n.set(D,m,y,C,k,g)}}}return n.toTensor()},e.prototype.maxPool3dBackprop=function(t,e,n,r){Bh([e,n],"maxPool3dBackprop");for(var o=this.maxPool3dPositions(e,r),a=r.strideDepth,i=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,h=r.effectiveFilterDepth,d=r.effectiveFilterHeight,f=r.effectiveFilterWidth,p=h-1-r.padInfo.front,v=f-1-r.padInfo.left,m=d-1-r.padInfo.top,g=Bn(e.shape,"float32"),y=this.bufferSync(o),x=this.bufferSync(t),b=0;b<r.batchSize;++b)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var E=0;E<r.inHeight;++E)for(var R=0;R<r.inWidth;++R){for(var I=C-p,k=E-m,S=R-v,A=0,N=0;N<h;N+=u){var T=(I+N)/a;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var D=0;D<d;D+=c){var F=(k+D)/i;if(!(F<0||F>=r.outHeight||Math.floor(F)!==F))for(var _=0;_<f;_+=l){var O=(S+_)/s;if(!(O<0||O>=r.outWidth||Math.floor(O)!==O)){var M=h*d*f-1-y.get(b,T,F,O,w)===N*d*f+D*f+_?1:0;if(0!==M)A+=x.get(b,T,F,O,w)*M}}}}g.set(A,b,C,E,R,w)}return g.toTensor()},e.prototype.cast=function(t,e){return Xo(t,e,this)},e.prototype.reshape=function(t,e){return Yo(t,e)},e.prototype.avgPool=function(t,e){return Bh(t,"avgPool"),Bh(t,"maxPool"),Ph(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"avg").toTensor().toFloat()},e.prototype.resizeBilinear=function(t,e,n,r){Bh(t,"resizeBilinear");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(R([a,e,n,u])),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=0,p=h[0]/d[0],v=h[1]/d[1],m=0;m<a;m++)for(var g=0;g<e;g++)for(var y=p*g,x=Math.floor(y),b=y-x,w=Math.min(i-1,Math.ceil(y)),C=m*t.strides[0]+x*t.strides[1],E=m*t.strides[0]+w*t.strides[1],I=0;I<n;I++)for(var k=v*I,S=Math.floor(k),A=k-S,N=Math.min(s-1,Math.ceil(k)),T=C+S*t.strides[2],D=E+S*t.strides[2],F=C+N*t.strides[2],_=E+N*t.strides[2],O=0;O<u;O++){var M=c[T+O],B=c[D+O],P=M+(c[F+O]-M)*A,L=P+(B+(c[_+O]-B)*A-P)*b;l[f++]=L}return fn(l,[a,e,n,u])},e.prototype.resizeBilinearBackprop=function(t,e,n){Bh([t,e],"resizeBilinearBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),d=[n&&c>1?a-1:a,n&&l>1?i-1:i],f=[n&&c>1?c-1:c,n&&l>1?l-1:l],p=d[0]/f[0],v=d[1]/f[1],m=this.readSync(t.dataId),g=0,y=0;y<o;y++)for(var x=y*e.strides[0],b=0;b<c;b++)for(var w=b*p,C=Math.floor(w),E=Math.min(Math.ceil(w),a-1),R=x+C*e.strides[1],I=x+E*e.strides[1],k=w-C,S=1-k,A=0;A<l;A++)for(var N=A*v,T=Math.floor(N),D=Math.min(Math.ceil(N),i-1),F=N-T,_=1-F,O=R+T*e.strides[2],M=R+D*e.strides[2],B=I+T*e.strides[2],P=I+D*e.strides[2],L=S*_,W=S*F,U=k*_,z=k*F,V=0;V<s;V++){var G=m[g++];h[O+V]+=G*L,h[M+V]+=G*W,h[B+V]+=G*U,h[P+V]+=G*z}return xn(h,[o,i,a,s],e.dtype)},e.prototype.resizeNearestNeighbor=function(t,e,n,r){Bh(t,"resizeNearestNeighbor");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(a*e*n*u),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],d=[r&&e>1?e-1:e,r&&n>1?n-1:n],f=h[0]/d[0],p=h[1]/d[1],v=0,m=0;m<a;m++)for(var g=m*t.strides[0],y=0;y<e;y++)for(var x=f*y,b=g+Math.min(i-1,r?Math.round(x):Math.floor(x))*t.strides[1],w=0;w<n;w++)for(var C=p*w,E=b+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],R=0;R<u;R++){var I=c[E+R];l[v++]=I}return fn(l,[a,e,n,u],t.dtype)},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){Bh([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),d=this.readSync(t.dataId),f=[n&&c>1?a-1:a,n&&l>1?i-1:i],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],v=f[0]/p[0],m=f[1]/p[1],g=1/v,y=1/m,x=2*Math.ceil(g)+2,b=2*Math.ceil(y)+2,w=0;w<o;w++)for(var C=w*e.strides[0],E=0;E<a;E++)for(var R=C+E*e.strides[1],I=Math.floor(E*g),k=Math.floor(I-x/2),S=0;S<i;S++)for(var A=R+S*e.strides[2],N=Math.floor(S*y),T=Math.floor(N-b/2),D=0;D<s;D++){for(var F=0,_=0;_<x;_++){var O=_+k;if(!(O<0||O>=c)){var M=C+O*t.strides[1],B=O*v;if(E===Math.min(a-1,n?Math.round(B):Math.floor(B)))for(var P=0;P<b;P++){var L=P+T;if(!(L<0||L>=l)){var W=M+L*t.strides[2],U=L*m;S===Math.min(i-1,n?Math.round(U):Math.floor(U))&&(F+=d[W+D])}}}}h[A+D]=F}return xn(h,e.shape,e.dtype)},e.prototype.batchNormalization=function(t,e,n,r,o,a){Bh([t,e,n,o,a],"batchNorm");for(var i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=o?this.readSync(o.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),h=new Float32Array(i.length),d=l.length,f=c.length,p=u.length,v=s.length,m=0,g=0,y=0,x=0,b=0;b<i.length;++b)h[b]=l[m++]+(i[b]-s[g++])*c[y++]/Math.sqrt(u[x++]+r),m>=d&&(m=0),g>=v&&(g=0),y>=f&&(y=0),x>=p&&(x=0);return xn(h,t.shape)},e.prototype.localResponseNormalization4D=function(t,e,n,r,o){Bh(t,"localResponseNormalization4D");var a=t.shape[3],i=a-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(t){for(var n=t%a,r=t-n+Math.max(0,n-e),o=t-n+Math.min(n+e,i),u=0;r<=o;r++){var c=s[r];u+=c*c}return u}for(var h=0;h<u;h++){var d=l(h),f=s[h]*Math.pow(n+r*d,-o);c[h]=f}return xn(c,t.shape)},e.prototype.LRNGrad=function(t,e,n,r,o,a,i){Bh(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),h=new Float32Array(t.size),d=t.size,f=0;f<d;f++){for(var p=f%s,v=f-p+Math.max(0,p-r),m=f-p+Math.min(s,p+r+1),g=0,y=v;y<m;y++)g+=Math.pow(c[y],2);g=a*g+o;for(y=v;y<m;y++){var x=-2*a*i*c[y]*l[f]/g;f===y&&(x+=Math.pow(g,-i)),x*=u[f],h[y]+=x}}return xn(h,t.shape)},e.prototype.multinomial=function(t,e,n,r){Bh(t,"multinomial");for(var o=e?t:To(t),a=o.shape[0],i=o.shape[1],s=Rn([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(o.dataId),l=0;l<a;++l){var h=l*i,d=new Float32Array(i-1);d[0]=c[h];for(var f=1;f<d.length;++f)d[f]=d[f-1]+c[h+f];for(var p=xu(r.toString()),v=l*n,m=0;m<n;++m){var g=p();u[v+m]=d.length;for(var y=0;y<d.length;y++)if(g<d[y]){u[v+m]=y;break}}}return s},e.prototype.oneHot=function(t,e,n,r){Bh(t,"oneHot");var o=new Float32Array(t.size*e);o.fill(r);for(var a=this.readSync(t.dataId),i=0;i<t.size;++i)a[i]>=0&&a[i]<e&&(o[i*e+a[i]]=n);return gn(o,[t.size,e],"int32")},e.prototype.nonMaxSuppression=function(t,e,n,r,o){return Bh(t,"nonMaxSuppression"),oa(this.readSync(t.dataId),this.readSync(e.dataId),n,r,o)},e.prototype.fft=function(t){return this.fftBatch(t,!1)},e.prototype.ifft=function(t){return this.fftBatch(t,!0)},e.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],o=Bn(t.shape,"float32"),a=Bn(t.shape,"float32"),i=hn(t).as2D(n,r),s=dn(t).as2D(n,r),u=0;u<n;u++)for(var c=i.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),h=ln(c,l),d=this.readSync(this.fftImpl(h,e).dataId),f=0;f<r;f++){var p=Zo(d,f);o.values[u*r+f]=p.real,a.values[u*r+f]=p.imag}return ln(o.toTensor(),a.toTensor()).as2D(n,r)},e.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var o=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(o=ln(hn(o).div(vn(r)),dn(o).div(vn(r)))),o}var a=this.readSync(t.dataId),i=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(a,r,e));return ln(i.real,i.imag).as2D(t.shape[0],t.shape[1])},e.prototype.isExponentOf2=function(t){return 0==(t&t-1)},e.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),o=e/2,a=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=0;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),i=ln(a.real,a.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=2;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),u=ln(s.real,s.imag).as1D();i=this.fftRadix2(i,o,n),u=this.fftRadix2(u,o,n);var c=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),o=0;o<Math.ceil(t/2);o++){var a=(e?2:-2)*Math.PI*(o/t);n[o]=Math.cos(a),r[o]=Math.sin(a)}return{real:n,imag:r}}(e,n),l=ln(c.real,c.imag).mul(u),h=i.add(l),d=i.sub(l),f=hn(h).concat(hn(d)),p=dn(h).concat(dn(d));return ln(f,p).as1D()},e.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),o=0;o<e;o++){for(var a=0,i=0,s=0;s<e;s++){var u=ea(o*s,e,n),c=Zo(t,s);a+=c.real*u.real-c.imag*u.imag,i+=c.real*u.imag+c.imag*u.real}n&&(a/=e,i/=e),ta(r,a,i,o)}return r},e.prototype.depthToSpace=function(t,e,n){b("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),b(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));for(var r=t.shape[0],o=t.shape[1],a=t.shape[2],i=t.shape[3],s=o*e,u=a*e,c=i/(e*e),l=this.readSync(t.dataId),h=new Float32Array(r*s*u*c),d=0,f=0;f<r;++f)for(var p=0;p<s;++p)for(var v=Math.floor(p/e),m=p%e,g=0;g<u;++g)for(var y=Math.floor(g/e),x=(m*e+g%e)*c,w=0;w<c;++w){var C=w+x+i*(y+a*(v+o*f));h[d++]=l[C]}return xn(h,[r,s,u,c])},e.prototype.broadcastedBinaryOp=function(t,e,n,r){var o=hr(t.shape,e.shape),a=Bn(o,n),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=cr(t.shape,o),c=cr(e.shape,o),l=a.values;if(u.length+c.length===0)for(var h=0;h<l.length;++h)l[h]=r(i[h%i.length],s[h%s.length]);else{var d=this.bufferSync(t),f=this.bufferSync(e),p=function(n){var o=a.indexToLoc(n),h=o.slice(-t.rank);u.forEach((function(t){return h[t]=0}));var p=d.locToIndex(h),v=o.slice(-e.rank);c.forEach((function(t){return v[t]=0}));var m=f.locToIndex(v);l[n]=r(i[p],s[m])};for(h=0;h<l.length;++h)p(h)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=hr(t.shape,e.shape),o=Bn(r,"float32"),a=Bn(r,"float32"),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=cr(t.shape,r),c=cr(e.shape,r),l=o.values,h=a.values;if(u.length+c.length===0)for(var d=0;d<l.length;d++){var f=d%i.length,p=d%s.length,v=n(i[2*f],i[2*f+1],s[2*p],s[2*p+1]);l[d]=v.real,h[d]=v.imag}else{var m=this.bufferSync(this.data.get(t.dataId).complexTensors.real),g=this.bufferSync(this.data.get(e.dataId).complexTensors.real),y=function(r){var a=o.indexToLoc(r),d=a.slice(-t.rank);u.forEach((function(t){return d[t]=0}));var f=m.locToIndex(d),p=a.slice(-e.rank);c.forEach((function(t){return p[t]=0}));var v=g.locToIndex(p),y=n(i[2*f],i[2*f+1],s[2*v],s[2*v+1]);l[r]=y.real,h[r]=y.imag};for(d=0;d<l.length;d++)y(d)}return this.complex(o.toTensor(),a.toTensor())},e.prototype.split=function(t,e,n){return la(t,e,n)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.epsilon=function(){return 1e-7},e.prototype.cropAndResize=function(t,e,n,r,o,a){for(var i=t.shape,s=i[0],u=i[1],c=i[2],l=i[3],h=e.shape[0],d=r[0],f=r[1],p=Bn([h,d,f,l],"float32"),v=this.readSync(e.dataId),m=this.readSync(n.dataId),g=this.readSync(t.dataId),y=t.strides,x=p.strides,b=0;b<h;b++){var w=4*b,C=v[w],E=v[w+1],R=v[w+2],I=v[w+3],k=m[b];if(!(k>=s))for(var S=d>1?(R-C)*(u-1)/(d-1):0,A=f>1?(I-E)*(c-1)/(f-1):0,N=0;N<d;N++){var T=d>1?C*(u-1)+N*S:.5*(C+R)*(u-1);if(T<0||T>u-1)for(var D=0;D<f;D++)for(var F=0;F<l;F++){var _=F+D*x[2]+N*x[1]+b*x[0];p.values[_]=a}else if("bilinear"===o){var O=Math.floor(T),M=Math.ceil(T),B=T-O;for(D=0;D<f;D++){if((q=f>1?E*(c-1)+D*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++){_=F+D*x[2]+N*x[1]+b*x[0];p.values[_]=a}else{var P=Math.floor(q),L=Math.ceil(q),W=q-P;for(F=0;F<l;F++){var U=g[_=F+P*y[2]+O*y[1]+k*y[0]],z=g[_=F+L*y[2]+O*y[1]+k*y[0]],V=g[_=F+P*y[2]+M*y[1]+k*y[0]],G=U+(z-U)*W,H=V+(g[_=F+L*y[2]+M*y[1]+k*y[0]]-V)*W;_=F+D*x[2]+N*x[1]+b*x[0],p.values[_]=G+(H-G)*B}}}}else for(D=0;D<f;++D){var q;if((q=f>1?E*(c-1)+D*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++){_=F+D*x[2]+N*x[1]+b*x[0];p.values[_]=a}else{var K=Math.round(q),j=Math.round(T);for(F=0;F<l;F++){var X=F+K*y[2]+j*y[1]+k*y[0],Y=F+D*x[2]+N*x[1]+b*x[0];p.values[Y]=g[X]}}}}}return p.toTensor()},e.prototype.sparseToDense=function(t,e,n,r){var o=go(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.sliceSize,u=o.strides,c=o.outputSize;return this.scatter(t,e,n,c,s,i,a,u,r,!1)},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=lo(t,e),a=o[0],i=o[1],s=o[2],u=o[3];if(0===i)return fn([],a,t.dtype);for(var c=new vt([i,s],t.dtype),l=this.readSync(e.dataId),h=this.readSync(t.dataId),d=0;d<i;d++){for(var f=[],p=0,v=0;v<r;v++){var m=l[d*r+v];p+=m*u[v],f.push(m)}if(p<0||p>=t.size/s)throw new Error("Invalid indices: "+f+" does not index into "+t.shape);for(var g=0;g<s;g++)c.values[d*s+g]=h[p*s+g]}return c.toTensor().reshape(a)},e.prototype.scatterND=function(t,e,n){var r=go(0,t,n),o=r.sliceRank,a=r.numUpdates,i=r.sliceSize,s=r.strides,u=r.outputSize,c=vn(0);return this.scatter(t,e,n,u,i,a,o,s,c,!0)},e.prototype.fill=function(t,e,n){var r=M(n=n||q(e),R(t));return r.fill(e),Bt.makeTensor(r,t,n,this)},e.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(t.shape,1,t.dtype)},e.prototype.zerosLike=function(t){var e=M(t.dtype,R(t.shape));return this.makeOutput(e,t.shape,t.dtype)},e.prototype.linspace=function(t,e,n){return $o(t,e,n)},e.prototype.scatter=function(t,e,n,r,o,a,i,s,u,c){var l=[r/o,o],h=this.readSync(t.dataId),d=this.readSync(e.dataId);if(0===r)return fn([],n,e.dtype);var f=new vt(l,e.dtype);f.values.fill(this.readSync(u.dataId)[0]);for(var p=0;p<a;p++){for(var v=[],m=0,g=0;g<i;g++){var y=h[p*i+g];v.push(y),m+=y*s[g]}if(m<0||m>=r/o)throw new Error("Invalid indices: "+v+" does not index into "+n);for(var x=0;x<o;x++)c?f.values[m*o+x]+=d[p*o+x]:f.values[m*o+x]=0===e.rank?d[0]:d[p*o+x]}return f.toTensor().reshape(n)},e}(Oo);function zh(t,e){return{kernelName:t,backendName:"cpu",kernelFunc:function(n){var r=n.inputs,o=n.backend,a=r,i=a.a,s=a.b,u=o;Bh([i,s],t);var c=u.data.get(i.dataId).values,l=u.data.get(s.dataId).values,h=e(i.shape,s.shape,c,l,i.dtype),d=h[0],f=h[1];return{dataId:u.write(d,f,i.dtype),shape:f,dtype:i.dtype}}}}function Vh(t){return function(e,n,r,o,a){var i=hr(e,n),s=i.length,u=X(i),c=O(a,R(i)),l=e.length,h=n.length,d=X(e),f=X(n),p=cr(e,i),v=cr(n,i);if(p.length+v.length===0)for(var m=0;m<c.length;++m)c[m]=t(r[m%r.length],o[m%o.length]);else{var g=function(e){var n=ot(e,s,u),a=n.slice(-l);p.forEach((function(t){return a[t]=0}));var i=rt(a,l,d),m=n.slice(-h);v.forEach((function(t){return m[t]=0}));var g=rt(m,h,f);c[e]=t(r[i],o[g])};for(m=0;m<c.length;++m)g(m)}return[c,i]}}Bt.registerBackend("cpu",(function(){return new Uh}),1);var Gh=Vh((function(t,e){return t/e})),Hh=zh(er,Gh);var qh={kernelName:"MaxPoolWithArgmax",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n,i=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;Bh(o,"MaxPoolWithArgmax");var h=l.data.get(o.dataId).values,d=Bo(o.shape,i,s,[1,1],u),f=function(t,e,n,r,o){var a=Ph(t,0,n,X(e),o,"max"),i=Lh(t,e,n,o,!0,r);return[a.values,i.values]}(h,o.shape,o.dtype,c,d),p=f[0],v=f[1],m=l.write(p,d.outShape,o.dtype),g=l.write(v,d.outShape,o.dtype);return[{dataId:m,shape:d.outShape,dtype:o.dtype},{dataId:g,shape:d.outShape,dtype:"int32"}]}},Kh={kernelName:"NonMaxSuppressionV5",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,o=e,a=o.boxes,i=o.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,h=s.softNmsSigma,d=n;Bh(a,"NonMaxSuppressionWithScore");var f=aa(d.data.get(a.dataId).values,d.data.get(i.dataId).values,u,c,l,h);return[f.selectedIndices,f.selectedScores]}},jh={kernelName:"Square",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n;Bh(r,"square");for(var a=o.data.get(r.dataId).values,i=new Float32Array(a.length),s=0;s<a.length;++s){var u=a[s];i[s]=u*u}return{dataId:o.write(i,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},Xh=Vh((function(t,e){var n=t-e;return n*n}));function Yh(t,e,n,r,o){for(var a=R(e),i=e.length,s=X(e),u=X(o),c=O(n,R(o)),l=0;l<a;++l){for(var h=ot(l,i,s),d=new Array(h.length),f=0;f<d.length;f++)d[f]=h[r[f]];c[rt(d,i,u)]=t[l]}return c}for(var $h=0,Qh=[Kh,jh,zh(nr,Xh),Hh,{kernelName:"Transpose",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n.perm,i=r;Bh(o,"transpose");for(var s=o.shape.length,u=new Array(s),c=0;c<u.length;c++)u[c]=o.shape[a[c]];var l=Yh(i.data.get(o.dataId).values,o.shape,o.dtype,a,u);return{dataId:i.write(l,u,o.dtype),shape:u,dtype:o.dtype}}},qh];$h<Qh.length;$h++){f(Qh[$h])}var Jh,Zh=function(t){this.variableNames=["A"];var e=xa(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+e.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},td=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=xa(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+e.output+" = result;\n      }\n    "};var ed=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var o=Fa(this.rank),a=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),o=0;o<t.length;o++)r[t[o]]=n[o];return r.join()}(e);this.userCode="\n    void main() {\n      "+o+" resRC = getOutputCoords();\n      setOutput(getA("+a+"));\n    }\n    "};var nd=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var o=Fa(this.rank),a=ga("rc",this.rank),i=new Array(this.rank);for(r=0;r<e.length;r++)i[e[r]]=a[r];var s="vec2("+i.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+i.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+o+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "};for(var rd=0,od=[{kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,o=e.pixels,a=r.numChannels,i="undefined"!=typeof HTMLVideoElement&&o instanceof HTMLVideoElement,u="undefined"!=typeof HTMLImageElement&&o instanceof HTMLImageElement,c=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],l=c[0],h=c[1],d=[h,l],f=[h,l,a];(u||i)&&(null==Jh&&(Jh=document.createElement("canvas").getContext("2d")),Jh.canvas.width=l,Jh.canvas.height=h,Jh.drawImage(o,0,0,l,h),o=Jh.canvas);var p=n.makeTensorInfo(d,"int32");n.texData.get(p.dataId).usage=Ut.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(p.dataId),o);var v=s().getBool("WEBGL_PACK")?new td(f):new Zh(f),m=n.runWebGLProgram(v,[p],"int32");return n.disposeData(p.dataId),m}},{kernelName:er,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e;return function(t,e,n){var r=new Xa(Ka,t.shape,e.shape);return s().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&(r=new Qa(Ya,t.shape,e.shape,!0)),n.runWebGLProgram(r,[t,e],"float32")}(r.a,r.b,n)}},{kernelName:"NonMaxSuppressionV5",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs;je("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var o=e,a=o.boxes,i=o.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,h=s.softNmsSigma,d=n,f=aa(d.readSync(a.dataId),d.readSync(i.dataId),u,c,l,h);return[f.selectedIndices,f.selectedScores]}},{kernelName:"Square",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n,a=new _s(r.shape,"return x * x;");return o.runWebGLProgram(a,[r],r.dtype)}},{kernelName:nr,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e,o=r.a,a=r.b,i=n,u=s().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Qa("return (a - b) * (a - b);",o.shape,a.shape):new Xa("return (a - b) * (a - b);",o.shape,a.shape);return i.compileAndRun(u,[o,a])}},{kernelName:"Transpose",backendName:"webgl",kernelFunc:function(t){for(var e,n=t.inputs,r=t.attrs,o=t.backend,a=n.x,i=r.perm,u=o,c=a.shape.length,l=new Array(c),h=0;h<l.length;h++)l[h]=a.shape[i[h]];if(u.shouldExecuteOnCPU([a])){var d=Yh(u.texData.get(a.dataId).values,a.shape,a.dtype,i,l);e=u.makeTensorInfo(l,a.dtype),u.texData.get(e.dataId).values=d}else e=function(t,e,n){var r=s().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new nd(t.shape,e):new ed(t.shape,e);return n.runWebGLProgram(r,[t],t.dtype)}(a,i,u);return e}},{kernelName:"MaxPoolWithArgmax",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n,i=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;b(4===o.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+o.shape.length+"."}));var h=[1,1];b(Ko(s,h),(function(){return"Error in maxPool: Either strides or dilations must be 1. 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i.learningRate=e,i.beta1=n,i.beta2=r,i.epsilon=o,i.decay=a,i.accumulatedFirstMoment=[],i.accumulatedWeightedInfNorm=[],He((function(){i.iteration=vn(0).variable(),i.accBeta1=vn(n).variable()})),null==o&&(i.epsilon=Bt.backend.epsilon()),i}return n(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map((function(t){return t.name})):Object.keys(t);He((function(){var r=so(1,e.accBeta1),o=co(-e.learningRate,e.iteration.mul(e.decay).add(1));n.forEach((function(n,a){var i=Bt.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:Nn(i).variable(!1)}),null==e.accumulatedWeightedInfNorm[a]&&(e.accumulatedWeightedInfNorm[a]={originalName:n+"/v",variable:Nn(i).variable(!1)});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,c=e.accumulatedWeightedInfNorm[a].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),h=c.mul(e.beta2),d=s.abs(),f=h.maximum(d);u.assign(l),c.assign(f);var p=o.div(r).mul(l.div(f.add(e.epsilon))).add(i);i.assign(p)}})),e.iteration.assign(e.iteration.add(1)),e.accBeta1.assign(e.accBeta1.mul(e.beta1))})),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&qe(this.accumulatedFirstMoment.map((function(t){return t.variable}))),null!=this.accumulatedWeightedInfNorm&&qe(this.accumulatedWeightedInfNorm.map((function(t){return t.variable})))},e.prototype.getWeights=function(){return r(this,void 0,void 0,(function(){return o(this,(function(t){throw new Error("getWeights() is not implemented for Adamax yet.")}))}))},e.prototype.setWeights=function(t){return r(this,void 0,void 0,(function(){return o(this,(function(t){throw new Error("setWeights() is not implemented for 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o(this,(function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()]]}}))}))},e.prototype.setWeights=function(t){return r(this,void 0,void 0,(function(){return o(this,(function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:if(0!==(t=e.sent()).length)throw new Error("SGD optimizer does not have settable weights.");return[2]}}))}))},e.prototype.getConfig=function(){return{learningRate:this.learningRate}},e.fromConfig=function(t,e){return new t(e.learningRate)},e.className="SGD",e}(gf);pf(Cf);var Ef=function(t){function e(e,n,r){void 0===r&&(r=!1);var o=t.call(this,e)||this;return o.learningRate=e,o.momentum=n,o.useNesterov=r,o.accumulations=[],o.m=vn(o.momentum),o}return n(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map((function(t){return t.name})):Object.keys(t)).forEach((function(n,r){var 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diff --git a/node_modules/@tensorflow/tfjs-core/dist/miniprogram/index.js.map b/node_modules/@tensorflow/tfjs-core/dist/miniprogram/index.js.map
index 4c15fa5f2..83686262a 100644
--- a/node_modules/@tensorflow/tfjs-core/dist/miniprogram/index.js.map
+++ b/node_modules/@tensorflow/tfjs-core/dist/miniprogram/index.js.map
@@ -1 +1 @@
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* @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Platform} from './platforms/platform';\n\n// Expects flags from URL in the format ?tfjsflags=FLAG1:1,FLAG2:true.\nconst TENSORFLOWJS_FLAGS_PREFIX = 'tfjsflags';\n\ntype FlagValue = number|boolean;\nexport type Flags = {\n  [featureName: string]: FlagValue\n};\nexport type FlagRegistryEntry = {\n  evaluationFn: () => FlagValue;\n  setHook?: (value: FlagValue) => void;\n};\n\n/**\n * The environment contains evaluated flags as well as the registered platform.\n * This is always used as a global singleton and can be retrieved with\n * `tf.env()`.\n */\n/** @doc {heading: 'Environment'} */\nexport class Environment {\n  private flags: Flags = {};\n  private flagRegistry: {[flagName: string]: FlagRegistryEntry} = {};\n\n  private urlFlags: Flags = {};\n\n  platformName: string;\n  platform: Platform;\n\n  // tslint:disable-next-line: no-any\n  constructor(public global: any) {\n    this.populateURLFlags();\n  }\n\n  setPlatform(platformName: string, platform: Platform) {\n    if (this.platform != null) {\n      console.warn(\n          `Platform ${this.platformName} has already been set. ` +\n          `Overwriting the platform with ${platform}.`);\n    }\n    this.platformName = platformName;\n    this.platform = platform;\n  }\n\n  registerFlag(\n      flagName: string, evaluationFn: () => FlagValue,\n      setHook?: (value: FlagValue) => void) {\n    this.flagRegistry[flagName] = {evaluationFn, setHook};\n\n    // Override the flag value from the URL. This has to happen here because the\n    // environment is initialized before flags get registered.\n    if (this.urlFlags[flagName] != null) {\n      const flagValue = this.urlFlags[flagName];\n      console.warn(\n          `Setting feature override from URL ${flagName}: ${flagValue}.`);\n      this.set(flagName, flagValue);\n    }\n  }\n\n  get(flagName: string): FlagValue {\n    if (flagName in this.flags) {\n      return this.flags[flagName];\n    }\n\n    this.flags[flagName] = this.evaluateFlag(flagName);\n\n    return this.flags[flagName];\n  }\n\n  getNumber(flagName: string): number {\n    return this.get(flagName) as number;\n  }\n\n  getBool(flagName: string): boolean {\n    return this.get(flagName) as boolean;\n  }\n\n  getFlags(): Flags {\n    return this.flags;\n  }\n  // For backwards compatibility.\n  get features(): Flags {\n    return this.flags;\n  }\n\n  set(flagName: string, value: FlagValue): void {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot set flag ${flagName} as it has not been registered.`);\n    }\n    this.flags[flagName] = value;\n    if (this.flagRegistry[flagName].setHook != null) {\n      this.flagRegistry[flagName].setHook(value);\n    }\n  }\n\n  private evaluateFlag(flagName: string): FlagValue {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot evaluate flag '${flagName}': no evaluation function found.`);\n    }\n    return this.flagRegistry[flagName].evaluationFn();\n  }\n\n  setFlags(flags: Flags) {\n    this.flags = Object.assign({}, flags);\n  }\n\n  reset() {\n    this.flags = {};\n    this.urlFlags = {};\n    this.populateURLFlags();\n  }\n\n  private populateURLFlags(): void {\n    if (typeof this.global === 'undefined' ||\n        typeof this.global.location === 'undefined' ||\n        typeof this.global.location.search === 'undefined') {\n      return;\n    }\n\n    const urlParams = getQueryParams(this.global.location.search);\n    if (TENSORFLOWJS_FLAGS_PREFIX in urlParams) {\n      const keyValues = urlParams[TENSORFLOWJS_FLAGS_PREFIX].split(',');\n      keyValues.forEach(keyValue => {\n        const [key, value] = keyValue.split(':') as [string, string];\n        this.urlFlags[key] = parseValue(key, value);\n      });\n    }\n  }\n}\n\nexport function getQueryParams(queryString: string): {[key: string]: string} {\n  const params = {};\n  queryString.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (s, ...t) => {\n    decodeParam(params, t[0], t[1]);\n    return t.join('=');\n  });\n  return params;\n}\n\nfunction decodeParam(\n    params: {[key: string]: string}, name: string, value?: string) {\n  params[decodeURIComponent(name)] = decodeURIComponent(value || '');\n}\n\nfunction parseValue(flagName: string, value: string): FlagValue {\n  value = value.toLowerCase();\n  if (value === 'true' || value === 'false') {\n    return value === 'true';\n  } else if (`${+ value}` === value) {\n    return +value;\n  }\n  throw new Error(\n      `Could not parse value flag value ${value} for flag ${flagName}.`);\n}\n\n/**\n * Returns the current environment (a global singleton).\n *\n * The environment object contains the evaluated feature values as well as the\n * active platform.\n */\n/** @doc {heading: 'Environment'} */\nexport function env() {\n  return ENV;\n}\n\nexport let ENV: Environment = null;\nexport function setEnvironmentGlobal(environment: Environment) {\n  ENV = environment;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedGradientMap} from './tape';\nimport {Tensor} from './tensor';\nimport {DataType, RecursiveArray} from './types';\n\nconst kernelRegistry: Map<string, KernelConfig> = new Map();\nconst gradRegistry: Map<string, GradConfig> = new Map();\n\nexport type DataId = object;\n\ntype AttributeValue =\n    number|number[]|boolean|boolean[]|string|string[]|NamedAttrMap;\n\n/** These are extra non-tensor/primitive params passed to kernel functions. */\nexport type Attribute = AttributeValue|RecursiveArray<AttributeValue>;\n\n/** Specifies the code to run when executing a kernel. */\nexport type KernelFunc = (params: {\n  inputs: NamedTensorInfoMap,\n  backend: {},\n  attrs?: NamedAttrMap,\n}) => TensorInfo|TensorInfo[];\n\n/** The function to run when computing a gradient during backprop. */\nexport type GradFunc =\n    (dy: Tensor|Tensor[], saved: Tensor[], attrs: NamedAttrMap) =>\n        NamedGradientMap;\n\n/** Function that gets called after the backend initializes. */\nexport type KernelSetupFunc = (backend: {}) => void;\n/** Function that gets called right before the backend is disposed. */\nexport type KernelDisposeFunc = KernelSetupFunc;\n\n/** Config object for registering a kernel in the global registry. */\nexport interface KernelConfig {\n  kernelName: string;\n  backendName: string;\n  kernelFunc: KernelFunc;\n  setupFunc?: KernelSetupFunc;\n  disposeFunc?: KernelDisposeFunc;\n}\n\n/** Config object for registering a gradient in the global registry. */\nexport interface GradConfig {\n  kernelName: string;\n  inputsToSave?: string[];\n  // When saveAllInputs is true, all inputs will be saved. Only use this flag\n  // if inputs is an array of Tensors.\n  saveAllInputs?: boolean;\n  outputsToSave?: boolean[];\n  gradFunc: GradFunc;\n}\n\n/** Holds metadata for a given tensor. */\nexport interface TensorInfo {\n  dataId: DataId;\n  shape: number[];\n  dtype: DataType;\n}\n\nexport interface NamedTensorInfoMap {\n  [name: string]: TensorInfo;\n}\n\nexport interface NamedAttrMap {\n  [name: string]: Attribute;\n}\n\n/**\n * Returns the kernel function (code) associated with the provided names.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n */\nexport function getKernel(\n    kernelName: string, backendName: string): KernelConfig {\n  const key = makeKey(kernelName, backendName);\n  return kernelRegistry.get(key);\n}\n\n/**\n * Returns the registered gradient info associated with the provided kernel.\n * @param kernelName The official TF kernel name.\n */\nexport function getGradient(kernelName: string): GradConfig {\n  return gradRegistry.get(kernelName);\n}\n\nexport function getKernelsForBackend(backendName: string): KernelConfig[] {\n  const it = kernelRegistry.entries();\n  const result: KernelConfig[] = [];\n\n  while (true) {\n    const {done, value} = it.next();\n    if (done) {\n      break;\n    }\n    const [key, config] = value;\n    const [backend, ] = key.split('_');\n    if (backend === backendName) {\n      result.push(config);\n    }\n  }\n  return result;\n}\n\n/**\n * Registers the function (forward pass) for the kernel in a global registry.\n *\n * @param config A config object with the following properties:\n * - `kernelName` The official name of the kernel.\n * - `backendName` The official name of the backend.\n * - `kernelFunc` The function to run during the forward pass of the kernel.\n * - `setupFunc` Optional. Gets called once, after the backend initializes.\n * - `disposeFunc` Optional. Gets called once, right before the backend is\n * disposed.\n */\nexport function registerKernel(config: KernelConfig) {\n  const {kernelName, backendName} = config;\n  const key = makeKey(kernelName, backendName);\n  if (kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is already registered`);\n  }\n  kernelRegistry.set(key, config);\n}\n\n/**\n * Registers a gradient function for a given kernel in the global registry,\n * to be used during the back-propagation of that kernel.\n *\n * @param config An object with the following properties:\n * - `kernelName` The name of the kernel that the gradient function is for.\n * - `gradFunc` The function to run during back-propagation.\n */\nexport function registerGradient(config: GradConfig) {\n  const {kernelName} = config;\n  if (gradRegistry.has(kernelName)) {\n    console.warn(`Overriding the gradient for '${kernelName}'`);\n  }\n  gradRegistry.set(kernelName, config);\n}\n\n/**\n * Removes the kernel function from the registry.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n *\n */\nexport function unregisterKernel(\n    kernelName: string, backendName: string): void {\n  const key = makeKey(kernelName, backendName);\n  if (!kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is not registered`);\n  }\n  kernelRegistry.delete(key);\n}\n\n/** Removes the registered gradient from the global registry. */\nexport function unregisterGradient(kernelName: string): void {\n  if (!gradRegistry.has(kernelName)) {\n    throw new Error(\n        `The gradient '${kernelName}' for backend is not registered`);\n  }\n  gradRegistry.delete(kernelName);\n}\n\nfunction makeKey(kernelName: string, backendName: string) {\n  return `${backendName}_${kernelName}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nimport {DataType, DataTypeMap, FlatVector, NumericDataType, RecursiveArray, TensorLike, TypedArray} from './types';\n\n/**\n * Shuffles the array in-place using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1, 2, 3, 4, 5];\n * tf.util.shuffle(a);\n * console.log(a);\n * ```\n *\n * @param array The array to shuffle in-place.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\n// tslint:disable-next-line:no-any\nexport function shuffle(array: any[]|Uint32Array|Int32Array|\n                        Float32Array): void {\n  let counter = array.length;\n  let temp = 0;\n  let index = 0;\n  // While there are elements in the array\n  while (counter > 0) {\n    // Pick a random index\n    index = (Math.random() * counter) | 0;\n    // Decrease counter by 1\n    counter--;\n    // And swap the last element with it\n    temp = array[counter];\n    array[counter] = array[index];\n    array[index] = temp;\n  }\n}\n\n/** Clamps a value to a specified range. */\nexport function clamp(min: number, x: number, max: number): number {\n  return Math.max(min, Math.min(x, max));\n}\n\nexport function nearestLargerEven(val: number): number {\n  return val % 2 === 0 ? val : val + 1;\n}\n\nexport function sum(arr: number[]): number {\n  let sum = 0;\n  for (let i = 0; i < arr.length; i++) {\n    sum += arr[i];\n  }\n  return sum;\n}\n\n/**\n * Returns a sample from a uniform [a, b) distribution.\n *\n * @param a The minimum support (inclusive).\n * @param b The maximum support (exclusive).\n * @return A pseudorandom number on the half-open interval [a,b).\n */\nexport function randUniform(a: number, b: number) {\n  const r = Math.random();\n  return (b * r) + (1 - r) * a;\n}\n\n/** Returns the squared Euclidean distance between two vectors. */\nexport function distSquared(a: FlatVector, b: FlatVector): number {\n  let result = 0;\n  for (let i = 0; i < a.length; i++) {\n    const diff = Number(a[i]) - Number(b[i]);\n    result += diff * diff;\n  }\n  return result;\n}\n\n/**\n * Asserts that the expression is true. Otherwise throws an error with the\n * provided message.\n *\n * ```js\n * const x = 2;\n * tf.util.assert(x === 2, 'x is not 2');\n * ```\n *\n * @param expr The expression to assert (as a boolean).\n * @param msg A function that returns the message to report when throwing an\n *     error. We use a function for performance reasons.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function assert(expr: boolean, msg: () => string) {\n  if (!expr) {\n    throw new Error(typeof msg === 'string' ? msg : msg());\n  }\n}\n\nexport function assertShapesMatch(\n    shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n  assert(\n      arraysEqual(shapeA, shapeB),\n      () => errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n}\n\nexport function assertNonNull(a: TensorLike): void {\n  assert(\n      a != null,\n      () => `The input to the tensor constructor must be a non-null value.`);\n}\n\n// NOTE: We explicitly type out what T extends instead of any so that\n// util.flatten on a nested array of number doesn't try to infer T as a\n// number[][], causing us to explicitly type util.flatten<number>().\n/**\n *  Flattens an arbitrarily nested array.\n *\n * ```js\n * const a = [[1, 2], [3, 4], [5, [6, [7]]]];\n * const flat = tf.util.flatten(a);\n * console.log(flat);\n * ```\n *\n *  @param arr The nested array to flatten.\n *  @param result The destination array which holds the elements.\n *  @param skipTypedArray If true, avoids flattening the typed arrays. Defaults\n *      to false.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function\nflatten<T extends number|boolean|string|Promise<number>|TypedArray>(\n    arr: T|RecursiveArray<T>, result: T[] = [], skipTypedArray = false): T[] {\n  if (result == null) {\n    result = [];\n  }\n  if (Array.isArray(arr) || isTypedArray(arr) && !skipTypedArray) {\n    for (let i = 0; i < arr.length; ++i) {\n      flatten(arr[i], result, skipTypedArray);\n    }\n  } else {\n    result.push(arr as T);\n  }\n  return result;\n}\n\n/**\n * Returns the size (number of elements) of the tensor given its shape.\n *\n * ```js\n * const shape = [3, 4, 2];\n * const size = tf.util.sizeFromShape(shape);\n * console.log(size);\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function sizeFromShape(shape: number[]): number {\n  if (shape.length === 0) {\n    // Scalar.\n    return 1;\n  }\n  let size = shape[0];\n  for (let i = 1; i < shape.length; i++) {\n    size *= shape[i];\n  }\n  return size;\n}\n\nexport function isScalarShape(shape: number[]): boolean {\n  return shape.length === 0;\n}\n\nexport function arraysEqual(n1: FlatVector, n2: FlatVector) {\n  if (n1 === n2) {\n    return true;\n  }\n  if (n1 == null || n2 == null) {\n    return false;\n  }\n\n  if (n1.length !== n2.length) {\n    return false;\n  }\n  for (let i = 0; i < n1.length; i++) {\n    if (n1[i] !== n2[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function isInt(a: number): boolean {\n  return a % 1 === 0;\n}\n\nexport function tanh(x: number): number {\n  // tslint:disable-next-line:no-any\n  if ((Math as any).tanh != null) {\n    // tslint:disable-next-line:no-any\n    return (Math as any).tanh(x);\n  }\n  if (x === Infinity) {\n    return 1;\n  } else if (x === -Infinity) {\n    return -1;\n  } else {\n    const e2x = Math.exp(2 * x);\n    return (e2x - 1) / (e2x + 1);\n  }\n}\n\nexport function sizeToSquarishShape(size: number): [number, number] {\n  const width = Math.ceil(Math.sqrt(size));\n  return [width, Math.ceil(size / width)];\n}\n\n/**\n * Creates a new array with randomized indicies to a given quantity.\n *\n * ```js\n * const randomTen = tf.util.createShuffledIndices(10);\n * console.log(randomTen);\n * ```\n *\n * @param number Quantity of how many shuffled indicies to create.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function createShuffledIndices(n: number): Uint32Array {\n  const shuffledIndices = new Uint32Array(n);\n  for (let i = 0; i < n; ++i) {\n    shuffledIndices[i] = i;\n  }\n  shuffle(shuffledIndices);\n  return shuffledIndices;\n}\n\nexport function rightPad(a: string, size: number): string {\n  if (size <= a.length) {\n    return a;\n  }\n  return a + ' '.repeat(size - a.length);\n}\n\nexport function repeatedTry(\n    checkFn: () => boolean, delayFn = (counter: number) => 0,\n    maxCounter?: number): Promise<void> {\n  return new Promise<void>((resolve, reject) => {\n    let tryCount = 0;\n\n    const tryFn = () => {\n      if (checkFn()) {\n        resolve();\n        return;\n      }\n\n      tryCount++;\n\n      const nextBackoff = delayFn(tryCount);\n\n      if (maxCounter != null && tryCount >= maxCounter) {\n        reject();\n        return;\n      }\n      setTimeout(tryFn, nextBackoff);\n    };\n\n    tryFn();\n  });\n}\n\n/**\n * Given the full size of the array and a shape that may contain -1 as the\n * implicit dimension, returns the inferred shape where -1 is replaced.\n * E.g. For shape=[2, -1, 3] and size=24, it will return [2, 4, 3].\n *\n * @param shape The shape, which may contain -1 in some dimension.\n * @param size The full size (number of elements) of the array.\n * @return The inferred shape where -1 is replaced with the inferred size.\n */\nexport function inferFromImplicitShape(\n    shape: number[], size: number): number[] {\n  let shapeProd = 1;\n  let implicitIdx = -1;\n\n  for (let i = 0; i < shape.length; ++i) {\n    if (shape[i] >= 0) {\n      shapeProd *= shape[i];\n    } else if (shape[i] === -1) {\n      if (implicitIdx !== -1) {\n        throw Error(\n            `Shapes can only have 1 implicit size. ` +\n            `Found -1 at dim ${implicitIdx} and dim ${i}`);\n      }\n      implicitIdx = i;\n    } else if (shape[i] < 0) {\n      throw Error(`Shapes can not be < 0. Found ${shape[i]} at dim ${i}`);\n    }\n  }\n\n  if (implicitIdx === -1) {\n    if (size > 0 && size !== shapeProd) {\n      throw Error(`Size(${size}) must match the product of shape ${shape}`);\n    }\n    return shape;\n  }\n\n  if (shapeProd === 0) {\n    throw Error(\n        `Cannot infer the missing size in [${shape}] when ` +\n        `there are 0 elements`);\n  }\n  if (size % shapeProd !== 0) {\n    throw Error(\n        `The implicit shape can't be a fractional number. ` +\n        `Got ${size} / ${shapeProd}`);\n  }\n\n  const newShape = shape.slice();\n  newShape[implicitIdx] = size / shapeProd;\n  return newShape;\n}\n\nexport function parseAxisParam(\n    axis: number|number[], shape: number[]): number[] {\n  const rank = shape.length;\n\n  // Normalize input\n  axis = axis == null ? shape.map((s, i) => i) : [].concat(axis);\n\n  // Check for valid range\n  assert(\n      axis.every(ax => ax >= -rank && ax < rank),\n      () =>\n          `All values in axis param must be in range [-${rank}, ${rank}) but ` +\n          `got axis ${axis}`);\n\n  // Check for only integers\n  assert(\n      axis.every(ax => isInt(ax)),\n      () => `All values in axis param must be integers but ` +\n          `got axis ${axis}`);\n\n  // Handle negative axis.\n  return axis.map(a => a < 0 ? rank + a : a);\n}\n\n/** Reduces the shape by removing all dimensions of shape 1. */\nexport function squeezeShape(shape: number[], axis?: number[]):\n    {newShape: number[], keptDims: number[]} {\n  const newShape: number[] = [];\n  const keptDims: number[] = [];\n  const isEmptyArray = axis != null && Array.isArray(axis) && axis.length === 0;\n  const axes = (axis == null || isEmptyArray) ?\n      null :\n      parseAxisParam(axis, shape).sort();\n  let j = 0;\n  for (let i = 0; i < shape.length; ++i) {\n    if (axes != null) {\n      if (axes[j] === i && shape[i] !== 1) {\n        throw new Error(\n            `Can't squeeze axis ${i} since its dim '${shape[i]}' is not 1`);\n      }\n      if ((axes[j] == null || axes[j] > i) && shape[i] === 1) {\n        newShape.push(shape[i]);\n        keptDims.push(i);\n      }\n      if (axes[j] <= i) {\n        j++;\n      }\n    }\n    if (shape[i] !== 1) {\n      newShape.push(shape[i]);\n      keptDims.push(i);\n    }\n  }\n  return {newShape, keptDims};\n}\n\nexport function getTypedArrayFromDType<D extends NumericDataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function getArrayFromDType<D extends DataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else if (dtype === 'string') {\n    values = new Array<'string'>(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function checkConversionForErrors<D extends DataType>(\n    vals: DataTypeMap[D]|number[], dtype: D): void {\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      throw Error(`A tensor of type ${dtype} being uploaded contains ${num}.`);\n    }\n  }\n}\n\n/** Returns true if the dtype is valid. */\nexport function isValidDtype(dtype: DataType): boolean {\n  return dtype === 'bool' || dtype === 'complex64' || dtype === 'float32' ||\n      dtype === 'int32' || dtype === 'string';\n}\n\n/**\n * Returns true if the new type can't encode the old type without loss of\n * precision.\n */\nexport function hasEncodingLoss(oldType: DataType, newType: DataType): boolean {\n  if (newType === 'complex64') {\n    return false;\n  }\n  if (newType === 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'int32' && oldType !== 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'bool' && oldType === 'bool') {\n    return false;\n  }\n  return true;\n}\n\nexport function isTypedArray(a: {}): a is Float32Array|Int32Array|Uint8Array {\n  return a instanceof Float32Array || a instanceof Int32Array ||\n      a instanceof Uint8Array;\n}\n\nexport function bytesPerElement(dtype: DataType): number {\n  if (dtype === 'float32' || dtype === 'int32') {\n    return 4;\n  } else if (dtype === 'complex64') {\n    return 8;\n  } else if (dtype === 'bool') {\n    return 1;\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n\n/**\n * Returns the approximate number of bytes allocated in the string array - 2\n * bytes per character. Computing the exact bytes for a native string in JS is\n * not possible since it depends on the encoding of the html page that serves\n * the website.\n */\nexport function bytesFromStringArray(arr: Uint8Array[]): number {\n  if (arr == null) {\n    return 0;\n  }\n  let bytes = 0;\n  arr.forEach(x => bytes += x.length);\n  return bytes;\n}\n\n/** Returns true if the value is a string. */\nexport function isString(value: {}): value is string {\n  return typeof value === 'string' || value instanceof String;\n}\n\nexport function isBoolean(value: {}): boolean {\n  return typeof value === 'boolean';\n}\n\nexport function isNumber(value: {}): boolean {\n  return typeof value === 'number';\n}\n\nexport function inferDtype(values: TensorLike): DataType {\n  if (Array.isArray(values)) {\n    return inferDtype(values[0]);\n  }\n  if (values instanceof Float32Array) {\n    return 'float32';\n  } else if (values instanceof Int32Array || values instanceof Uint8Array) {\n    return 'int32';\n  } else if (isNumber(values)) {\n    return 'float32';\n  } else if (isString(values)) {\n    return 'string';\n  } else if (isBoolean(values)) {\n    return 'bool';\n  }\n  return 'float32';\n}\n\nexport function isFunction(f: Function) {\n  return !!(f && f.constructor && f.call && f.apply);\n}\n\nexport function nearestDivisor(size: number, start: number): number {\n  for (let i = start; i < size; ++i) {\n    if (size % i === 0) {\n      return i;\n    }\n  }\n  return size;\n}\n\nexport function computeStrides(shape: number[]): number[] {\n  const rank = shape.length;\n  if (rank < 2) {\n    return [];\n  }\n\n  // Last dimension has implicit stride of 1, thus having D-1 (instead of D)\n  // strides.\n  const strides = new Array(rank - 1);\n  strides[rank - 2] = shape[rank - 1];\n  for (let i = rank - 3; i >= 0; --i) {\n    strides[i] = strides[i + 1] * shape[i + 1];\n  }\n  return strides;\n}\n\nexport function toTypedArray(\n    a: TensorLike, dtype: DataType, debugMode: boolean): TypedArray {\n  if (dtype === 'string') {\n    throw new Error('Cannot convert a string[] to a TypedArray');\n  }\n  if (Array.isArray(a)) {\n    a = flatten(a);\n  }\n  if (debugMode) {\n    checkConversionForErrors(a as number[], dtype);\n  }\n  if (noConversionNeeded(a, dtype)) {\n    return a as TypedArray;\n  }\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(a as number[]);\n  } else if (dtype === 'int32') {\n    return new Int32Array(a as number[]);\n  } else if (dtype === 'bool') {\n    const bool = new Uint8Array((a as number[]).length);\n    for (let i = 0; i < bool.length; ++i) {\n      if (Math.round((a as number[])[i]) !== 0) {\n        bool[i] = 1;\n      }\n    }\n    return bool;\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\nfunction createNestedArray(offset: number, shape: number[], a: TypedArray) {\n  const ret = new Array();\n  if (shape.length === 1) {\n    const d = shape[0];\n    for (let i = 0; i < d; i++) {\n      ret[i] = a[offset + i];\n    }\n  } else {\n    const d = shape[0];\n    const rest = shape.slice(1);\n    const len = rest.reduce((acc, c) => acc * c);\n    for (let i = 0; i < d; i++) {\n      ret[i] = createNestedArray(offset + i * len, rest, a);\n    }\n  }\n  return ret;\n}\n\n// Provide a nested array of TypedArray in given shape.\nexport function toNestedArray(shape: number[], a: TypedArray) {\n  if (shape.length === 0) {\n    // Scalar type should return a single number.\n    return a[0];\n  }\n  const size = shape.reduce((acc, c) => acc * c);\n  if (size === 0) {\n    // A tensor with shape zero should be turned into empty list.\n    return [];\n  }\n  if (size !== a.length) {\n    throw new Error(`[${shape}] does not match the input size.`);\n  }\n\n  return createNestedArray(0, shape, a);\n}\n\nfunction noConversionNeeded(a: TensorLike, dtype: DataType): boolean {\n  return (a instanceof Float32Array && dtype === 'float32') ||\n      (a instanceof Int32Array && dtype === 'int32') ||\n      (a instanceof Uint8Array && dtype === 'bool');\n}\n\nexport function makeOnesTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  const array = makeZerosTypedArray(size, dtype);\n  for (let i = 0; i < array.length; i++) {\n    array[i] = 1;\n  }\n  return array;\n}\n\nexport function makeZerosTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'int32') {\n    return new Int32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'bool') {\n    return new Uint8Array(size) as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\n/**\n * Returns the current high-resolution time in milliseconds relative to an\n * arbitrary time in the past. It works across different platforms (node.js,\n * browsers).\n *\n * ```js\n * console.log(tf.util.now());\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function now(): number {\n  return env().platform.now();\n}\n\nexport function assertNonNegativeIntegerDimensions(shape: number[]) {\n  shape.forEach(dimSize => {\n    assert(\n        Number.isInteger(dimSize) && dimSize >= 0,\n        () =>\n            `Tensor must have a shape comprised of positive integers but got ` +\n            `shape [${shape}].`);\n  });\n}\n\n/**\n * Returns a platform-specific implementation of\n * [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n *\n * If `fetch` is defined on the global object (`window`, `process`, etc.),\n * `tf.util.fetch` returns that function.\n *\n * If not, `tf.util.fetch` returns a platform-specific solution.\n *\n * ```js\n * const resource = await tf.util.fetch('https://unpkg.com/@tensorflow/tfjs');\n * // handle response\n * ```\n */\n/** @doc {heading: 'Util'} */\nexport function fetch(\n    path: string, requestInits?: RequestInit): Promise<Response> {\n  return env().platform.fetch(path, requestInits);\n}\n\n/**\n * Encodes the provided string into bytes using the provided encoding scheme.\n *\n * @param s The string to encode.\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n */\n/** @doc {heading: 'Util'} */\nexport function encodeString(s: string, encoding = 'utf-8'): Uint8Array {\n  encoding = encoding || 'utf-8';\n  return env().platform.encode(s, encoding);\n}\n\n/**\n * Decodes the provided bytes into a string using the provided encoding scheme.\n * @param bytes The bytes to decode.\n *\n * @param encoding The encoding scheme. Defaults to utf-8.\n */\n/** @doc {heading: 'Util'} */\nexport function decodeString(bytes: Uint8Array, encoding = 'utf-8'): string {\n  encoding = encoding || 'utf-8';\n  return env().platform.decode(bytes, encoding);\n}\n\n/**\n * Computes flat index for a given location (multidimentionsal index) in a\n * Tensor/multidimensional array.\n *\n * @param locs Location in the tensor.\n * @param rank Rank of the tensor.\n * @param strides Tensor strides.\n */\nexport function locToIndex(\n    locs: number[], rank: number, strides: number[]): number {\n  if (rank === 0) {\n    return 0;\n  } else if (rank === 1) {\n    return locs[0];\n  }\n  let index = locs[locs.length - 1];\n  for (let i = 0; i < locs.length - 1; ++i) {\n    index += strides[i] * locs[i];\n  }\n  return index;\n}\n\n/**\n * Computes the location (multidimensional index) in a tensor/multidimentional\n * array for a given flat index.\n *\n * @param index Index in flat array.\n * @param rank Rank of tensor.\n * @param strides Strides of tensor.\n */\nexport function indexToLoc(\n    index: number, rank: number, strides: number[]): number[] {\n  if (rank === 0) {\n    return [];\n  } else if (rank === 1) {\n    return [index];\n  }\n  const locs: number[] = new Array(rank);\n  for (let i = 0; i < locs.length - 1; ++i) {\n    locs[i] = Math.floor(index / strides[i]);\n    index -= locs[i] * strides[i];\n  }\n  locs[locs.length - 1] = index;\n  return locs;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimer} from './backends/backend';\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {DataType, DataTypeMap, TypedArray} from './types';\nimport * as util from './util';\n\nexport class Profiler {\n  constructor(private backendTimer: BackendTimer, private logger?: Logger) {\n    if (logger == null) {\n      this.logger = new Logger();\n    }\n  }\n\n  profileKernel(kernelName: string, inputs: NamedTensorMap, f: () => Tensor[]):\n      Tensor[] {\n    let outputs: Tensor[];\n    const holdResultWrapperFn = () => {\n      outputs = f();\n    };\n    const timer = this.backendTimer.time(holdResultWrapperFn);\n\n    outputs.forEach(r => {\n      // Dangling promise here because we don't want to propagate up\n      // asynchronicity.\n      r.data().then(vals => {\n        checkComputationForErrors(vals, r.dtype, kernelName);\n\n        timer.then(timing => {\n          let extraInfo = '';\n          if (timing.getExtraProfileInfo != null) {\n            extraInfo = timing.getExtraProfileInfo();\n          }\n\n          this.logger.logKernelProfile(\n              kernelName, r, vals, timing.kernelMs, inputs, extraInfo);\n        });\n      });\n    });\n\n    return outputs;\n  }\n}\n\nexport function checkComputationForErrors<D extends DataType>(\n    vals: DataTypeMap[D], dtype: D, kernelName: string): boolean {\n  if (dtype !== 'float32') {\n    // Only floating point computations will generate NaN values\n    return false;\n  }\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      // Throwing custom exception so behavior is testable.\n      console.warn(`Found ${num} in the result of '${kernelName}'`);\n      return true;\n    }\n  }\n  return false;\n}\n\nexport class Logger {\n  logKernelProfile(\n      name: string, result: Tensor, vals: TypedArray,\n      timeMs: number|{error: string}, inputs: NamedTensorMap,\n      extraInfo?: string) {\n    const time = typeof timeMs === 'number' ? util.rightPad(`${timeMs}ms`, 9) :\n                                              timeMs['error'];\n    const paddedName = util.rightPad(name, 25);\n    const rank = result.rank;\n    const size = result.size;\n    const shape = util.rightPad(result.shape.toString(), 14);\n    let inputShapesDescription = '';\n\n    for (const name in inputs) {\n      const input = inputs[name];\n      // The input might be a non-tensor (e.g HTMLImageElement), in which case\n      // we claim the output shape as input shape.\n      const inputShape = input.shape || result.shape;\n      const inputRank = inputShape.length;\n      inputShapesDescription +=\n          `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;\n    }\n\n    console.log(\n        `%c${paddedName}\\t%c${time}\\t%c${rank}D ${shape}\\t%c${size}\\t%c${\n            inputShapesDescription}\\t%c${extraInfo}`,\n        'font-weight:bold', 'color:red', 'color:blue', 'color: orange',\n        'color: green', 'color: steelblue');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, TypedArray} from './types';\nimport {computeStrides, isString, rightPad, sizeFromShape} from './util';\n\n// Maximum number of values before we decide to show ellipsis.\nconst FORMAT_LIMIT_NUM_VALS = 20;\n// Number of first and last values to show when displaying a, b,...,y, z.\nconst FORMAT_NUM_FIRST_LAST_VALS = 3;\n// Number of significant digits to show.\nconst FORMAT_NUM_SIG_DIGITS = 7;\n\nexport function tensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    verbose: boolean) {\n  const strides = computeStrides(shape);\n  const padPerCol = computeMaxSizePerColumn(vals, shape, dtype, strides);\n  const rank = shape.length;\n  const valsLines = subTensorToString(vals, shape, dtype, strides, padPerCol);\n  const lines = ['Tensor'];\n  if (verbose) {\n    lines.push(`  dtype: ${dtype}`);\n    lines.push(`  rank: ${rank}`);\n    lines.push(`  shape: [${shape}]`);\n    lines.push(`  values:`);\n  }\n  lines.push(valsLines.map(l => '    ' + l).join('\\n'));\n  return lines.join('\\n');\n}\n\nfunction computeMaxSizePerColumn(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[]): number[] {\n  const n = sizeFromShape(shape);\n  const numCols = strides[strides.length - 1];\n  const padPerCol = new Array(numCols).fill(0);\n  const rank = shape.length;\n  const valuesOrTuples =\n      dtype === 'complex64' ? createComplexTuples(vals) : vals;\n\n  if (rank > 1) {\n    for (let row = 0; row < n / numCols; row++) {\n      const offset = row * numCols;\n      for (let j = 0; j < numCols; j++) {\n        padPerCol[j] = Math.max(\n            padPerCol[j],\n            valToString(valuesOrTuples[offset + j], 0, dtype).length);\n      }\n    }\n  }\n  return padPerCol;\n}\n\nfunction valToString(\n    val: number|string|[number, number], pad: number, dtype: DataType) {\n  let valStr: string;\n  if (Array.isArray(val)) {\n    valStr = `${parseFloat(val[0].toFixed(FORMAT_NUM_SIG_DIGITS))} + ` +\n        `${parseFloat(val[1].toFixed(FORMAT_NUM_SIG_DIGITS))}j`;\n  } else if (isString(val)) {\n    valStr = `'${val}'`;\n  } else if (dtype === 'bool') {\n    valStr = boolNumToString(val);\n  } else {\n    valStr = parseFloat(val.toFixed(FORMAT_NUM_SIG_DIGITS)).toString();\n  }\n\n  return rightPad(valStr, pad);\n}\n\nfunction boolNumToString(v: number): string {\n  return v === 0 ? 'false' : 'true';\n}\n\nfunction subTensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[], padPerCol: number[], isLast = true): string[] {\n  const storagePerElement = dtype === 'complex64' ? 2 : 1;\n\n  const size = shape[0];\n  const rank = shape.length;\n  if (rank === 0) {\n    if (dtype === 'complex64') {\n      const complexTuple = createComplexTuples(vals);\n      return [valToString(complexTuple[0], 0, dtype)];\n    }\n    if (dtype === 'bool') {\n      return [boolNumToString(vals[0] as number)];\n    }\n    return [vals[0].toString()];\n  }\n\n  if (rank === 1) {\n    if (size > FORMAT_LIMIT_NUM_VALS) {\n      const firstValsSize = FORMAT_NUM_FIRST_LAST_VALS * storagePerElement;\n\n      let firstVals = Array.from<number|string|[number, number]>(\n          vals.slice(0, firstValsSize));\n      let lastVals = Array.from<number|string|[number, number]>(vals.slice(\n          (size - FORMAT_NUM_FIRST_LAST_VALS) * storagePerElement,\n          size * storagePerElement));\n      if (dtype === 'complex64') {\n        firstVals = createComplexTuples(firstVals);\n        lastVals = createComplexTuples(lastVals);\n      }\n      return [\n        '[' +\n        firstVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n            .join(', ') +\n        ', ..., ' +\n        lastVals\n            .map(\n                (x, i) => valToString(\n                    x, padPerCol[size - FORMAT_NUM_FIRST_LAST_VALS + i], dtype))\n            .join(', ') +\n        ']'\n      ];\n    }\n    const displayVals: Array<number|string|[number, number]> =\n        dtype === 'complex64' ? createComplexTuples(vals) :\n                                Array.from<number|string>(vals);\n\n    return [\n      '[' +\n      displayVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n          .join(', ') +\n      ']'\n    ];\n  }\n\n  // The array is rank 2 or more.\n  const subshape = shape.slice(1);\n  const substrides = strides.slice(1);\n  const stride = strides[0] * storagePerElement;\n  const lines: string[] = [];\n  if (size > FORMAT_LIMIT_NUM_VALS) {\n    for (let i = 0; i < FORMAT_NUM_FIRST_LAST_VALS; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          false /* isLast */));\n    }\n    lines.push('...');\n    for (let i = size - FORMAT_NUM_FIRST_LAST_VALS; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  } else {\n    for (let i = 0; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  }\n  const sep = rank === 2 ? ',' : '';\n  lines[0] = '[' + lines[0] + sep;\n  for (let i = 1; i < lines.length - 1; i++) {\n    lines[i] = ' ' + lines[i] + sep;\n  }\n  let newLineSep = ',\\n';\n  for (let i = 2; i < rank; i++) {\n    newLineSep += '\\n';\n  }\n  lines[lines.length - 1] =\n      ' ' + lines[lines.length - 1] + ']' + (isLast ? '' : newLineSep);\n  return lines;\n}\n\nfunction createComplexTuples(vals: Array<{}>|\n                             TypedArray): Array<[number, number]> {\n  const complexTuples: Array<[number, number]> = [];\n  for (let i = 0; i < vals.length; i += 2) {\n    complexTuples.push([vals[i], vals[i + 1]] as [number, number]);\n  }\n  return complexTuples;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensorToString} from './tensor_format';\nimport {ArrayMap, BackendValues, DataType, DataTypeMap, DataValues, NumericDataType, Rank, ShapeMap, SingleValueMap, TensorLike, TensorLike1D, TensorLike3D, TensorLike4D, TypedArray} from './types';\nimport * as util from './util';\nimport {computeStrides, toNestedArray} from './util';\n\nexport interface TensorData<D extends DataType> {\n  dataId?: DataId;\n  values?: DataTypeMap[D];\n}\n\n// This interface mimics KernelBackend (in backend.ts), which would create a\n// circular dependency if imported.\nexport interface Backend {}\n\n/**\n * A mutable object, similar to `tf.Tensor`, that allows users to set values\n * at locations before converting to an immutable `tf.Tensor`.\n *\n * See `tf.buffer` for creating a tensor buffer.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class TensorBuffer<R extends Rank, D extends DataType = 'float32'> {\n  size: number;\n  shape: ShapeMap[R];\n  strides: number[];\n  values: DataTypeMap[D];\n\n  constructor(shape: ShapeMap[R], public dtype: D, values?: DataTypeMap[D]) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.size = util.sizeFromShape(shape);\n\n    if (values != null) {\n      const n = values.length;\n      util.assert(\n          n === this.size,\n          () => `Length of values '${n}' does not match the size ` +\n              `inferred by the shape '${this.size}'.`);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `complex64 dtype TensorBuffers are not supported. Please create ` +\n          `a TensorBuffer for the real and imaginary parts separately and ` +\n          `call tf.complex(real, imag).`);\n    }\n    this.values = values || util.getArrayFromDType(dtype, this.size);\n    this.strides = computeStrides(shape);\n  }\n\n  /**\n   * Sets a value in the buffer at a given location.\n   *\n   * @param value The value to set.\n   * @param locs  The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  set(value: SingleValueMap[D], ...locs: number[]): void {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    util.assert(\n        locs.length === this.rank,\n        () => `The number of provided coordinates (${locs.length}) must ` +\n            `match the rank (${this.rank})`);\n\n    const index = this.locToIndex(locs);\n    this.values[index] = value as number;\n  }\n\n  /**\n   * Returns the value in the buffer at the provided location.\n   *\n   * @param locs The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  get(...locs: number[]): SingleValueMap[D] {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    let i = 0;\n    for (const loc of locs) {\n      if (loc < 0 || loc >= this.shape[i]) {\n        const msg = `Requested out of range element at ${locs}. ` +\n            `  Buffer shape=${this.shape}`;\n        throw new Error(msg);\n      }\n      i++;\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return this.values[index] as SingleValueMap[D];\n  }\n\n  locToIndex(locs: number[]): number {\n    if (this.rank === 0) {\n      return 0;\n    } else if (this.rank === 1) {\n      return locs[0];\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return index;\n  }\n\n  indexToLoc(index: number): number[] {\n    if (this.rank === 0) {\n      return [];\n    } else if (this.rank === 1) {\n      return [index];\n    }\n    const locs: number[] = new Array(this.shape.length);\n    for (let i = 0; i < locs.length - 1; ++i) {\n      locs[i] = Math.floor(index / this.strides[i]);\n      index -= locs[i] * this.strides[i];\n    }\n    locs[locs.length - 1] = index;\n    return locs;\n  }\n\n  get rank() {\n    return this.shape.length;\n  }\n\n  /**\n   * Creates an immutable `tf.Tensor` object from the buffer.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  toTensor(): Tensor<R> {\n    return trackerFn().makeTensor(this.values, this.shape, this.dtype) as\n        Tensor<R>;\n  }\n}\n\nexport interface TensorTracker {\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: Backend): Tensor;\n  makeVariable(\n      initialValue: Tensor, trainable?: boolean, name?: string,\n      dtype?: DataType): Variable;\n  incRef(a: Tensor, backend: Backend): void;\n  disposeTensor(t: Tensor): void;\n  disposeVariable(v: Variable): void;\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n}\n\n/**\n * The Tensor class calls into this handler to delegate chaining operations.\n */\nexport interface OpHandler {\n  cast<T extends Tensor>(x: T, dtype: DataType): T;\n  buffer<R extends Rank, D extends DataType>(\n      shape: ShapeMap[R], dtype: D,\n      values?: DataTypeMap[D]): TensorBuffer<R, D>;\n  print<T extends Tensor>(x: T, verbose: boolean): void;\n  reshape<R2 extends Rank>(x: Tensor, shape: ShapeMap[R2]): Tensor<R2>;\n  expandDims<R2 extends Rank>(x: Tensor, axis: number): Tensor<R2>;\n  cumsum<T extends Tensor>(\n      x: Tensor, axis: number, exclusive: boolean, reverse: boolean): T;\n  squeeze<T extends Tensor>(x: Tensor, axis?: number[]): T;\n  clone<T extends Tensor>(x: T): T;\n  gather<T extends Tensor>(x: T, indices: Tensor|TensorLike, axis: number): T;\n  matMul<T extends Tensor>(\n      a: T, b: T|TensorLike, transposeA: boolean, transposeB: boolean): T;\n  dot(t1: Tensor, t2: Tensor|TensorLike): Tensor;\n  norm(\n      x: Tensor, ord: number|'euclidean'|'fro', axis: number|number[],\n      keepDims: boolean): Tensor;\n  slice<R extends Rank, T extends Tensor<R>>(\n      x: T, begin: number|number[], size?: number|number[]): T;\n  split<T extends Tensor>(\n      x: T, numOrSizeSplits: number[]|number, axis?: number): T[];\n  reverse<T extends Tensor>(x: T, axis?: number|number[]): T;\n  concat<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): T;\n  stack<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): Tensor;\n  unstack<T extends Tensor>(value: T, axis: number): Tensor[];\n  all<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  any<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  logSumExp<T extends Tensor>(\n      x: Tensor, axis: number|number[], keepDims: boolean): T;\n  sum<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  prod<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  mean<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  min<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  max<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  argMin<T extends Tensor>(x: Tensor, axis: number): T;\n  argMax<T extends Tensor>(x: Tensor, axis: number): T;\n  addStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  atan2<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  sub<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  subStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  pow<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  powStrict<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  mul<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  mulStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  floorDiv<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  divStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  mod<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  modStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  minimum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  minimumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  maximum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  maximumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  squaredDifferenceStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  logicalNot<T extends Tensor>(x: T): T;\n  logicalAnd<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalOr<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalXor<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  where<T extends Tensor>(condition: Tensor|TensorLike, a: T, b: T|TensorLike):\n      T;\n  notEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  notEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  less<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  equal<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  equalStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  lessEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greater<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greaterEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  neg<T extends Tensor>(x: T): T;\n  ceil<T extends Tensor>(x: T): T;\n  floor<T extends Tensor>(x: T): T;\n  sign<T extends Tensor>(x: T): T;\n  isNaN<T extends Tensor>(x: T): T;\n  isInf<T extends Tensor>(x: T): T;\n  isFinite<T extends Tensor>(x: T): T;\n  round<T extends Tensor>(x: T): T;\n  exp<T extends Tensor>(x: T): T;\n  expm1<T extends Tensor>(x: T): T;\n  log<T extends Tensor>(x: T): T;\n  log1p<T extends Tensor>(x: T): T;\n  sqrt<T extends Tensor>(x: T): T;\n  rsqrt<T extends Tensor>(x: T): T;\n  square<T extends Tensor>(x: T): T;\n  reciprocal<T extends Tensor>(x: T): T;\n  abs<T extends Tensor>(x: T): T;\n  clipByValue<T extends Tensor>(\n      x: T, clipValueMin: number, clipValueMax: number): T;\n  sigmoid<T extends Tensor>(x: T): T;\n  logSigmoid<T extends Tensor>(x: T): T;\n  softplus<T extends Tensor>(x: T): T;\n  zerosLike<T extends Tensor>(x: T): T;\n  onesLike<T extends Tensor>(x: T): T;\n  sin<T extends Tensor>(x: T): T;\n  cos<T extends Tensor>(x: T): T;\n  tan<T extends Tensor>(x: T): T;\n  asin<T extends Tensor>(x: T): T;\n  acos<T extends Tensor>(x: T): T;\n  atan<T extends Tensor>(x: T): T;\n  sinh<T extends Tensor>(x: T): T;\n  cosh<T extends Tensor>(x: T): T;\n  tanh<T extends Tensor>(x: T): T;\n  asinh<T extends Tensor>(x: T): T;\n  acosh<T extends Tensor>(x: T): T;\n  atanh<T extends Tensor>(x: T): T;\n  erf<T extends Tensor>(x: T): T;\n  step<T extends Tensor>(x: T, alpha: number): T;\n  relu<T extends Tensor>(x: T): T;\n  relu6<T extends Tensor>(x: T): T;\n  elu<T extends Tensor>(x: T): T;\n  selu<T extends Tensor>(x: T): T;\n  leakyRelu<T extends Tensor>(x: T, alpha: number): T;\n  prelu<T extends Tensor>(x: T, alpha: T|TensorLike): T;\n  softmax<T extends Tensor>(logits: T, dim: number): T;\n  logSoftmax<T extends Tensor>(logits: T, axis: number): T;\n  image: {\n    resizeBilinear<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n    resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n  };\n  conv1d<T extends Tensor2D|Tensor3D>(\n      x: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW', dilation: number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  depthwiseConv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number,\n      dataFormat: 'NHWC'|'NCHW'): T;\n  maxPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  avgPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  pool<T extends Tensor3D|Tensor4D>(\n      input: T, windowShape: [number, number]|number, poolingType: 'avg'|'max',\n      padding: 'valid'|'same'|number, diationRate?: [number, number]|number,\n      strides?: [number, number]|number): T;\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      x: T, depthRadius: number, bias: number, alpha: number, beta: number): T;\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T;\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T;\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T;\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean):\n      {values: T, indices: T};\n  stridedSlice(\n      x: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask: number, endMask: number, ellipsisMask: number,\n      newAxisMask: number, shrinkAxisMask: number): Tensor;\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D;\n  spectral: {\n    fft(x: Tensor): Tensor; ifft(x: Tensor): Tensor; rfft(x: Tensor): Tensor;\n    irfft(x: Tensor): Tensor\n  };\n}\n\n// For tracking tensor creation and disposal.\nlet trackerFn: () => TensorTracker = null;\n// Used by chaining methods to call into ops.\nlet opHandler: OpHandler = null;\n// Used to warn about deprecated methods.\nlet deprecationWarningFn: (msg: string) => void = null;\n// This here so that we can use this method on dev branches and keep the\n// functionality at master.\n// tslint:disable-next-line:no-unused-expression\n[deprecationWarningFn];\n\n/**\n * An external consumer can register itself as the tensor tracker. This way\n * the Tensor class can notify the tracker for every tensor created and\n * disposed.\n */\nexport function setTensorTracker(fn: () => TensorTracker) {\n  trackerFn = fn;\n}\n\n/**\n * An external consumer can register itself as the op handler. This way the\n * Tensor class can have chaining methods that call into ops via the op\n * handler.\n */\nexport function setOpHandler(handler: OpHandler) {\n  opHandler = handler;\n}\n\n/**\n * Sets the deprecation warning function to be used by this file. This way the\n * Tensor class can be a leaf but still use the environment.\n */\nexport function setDeprecationWarningFn(fn: (msg: string) => void) {\n  deprecationWarningFn = fn;\n}\n\n/**\n * We wrap data id since we use weak map to avoid memory leaks.\n * Since we have our own memory management, we have a reference counter\n * mapping a tensor to its data, so there is always a pointer (even if that\n * data is otherwise garbage collectable).\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/\n * Global_Objects/WeakMap\n */\nexport type DataId = object;  // object instead of {} to force non-primitive.\n\n// Declare this namespace to make Tensor class augmentation work in google3.\nexport declare namespace Tensor {}\n/**\n * A `tf.Tensor` object represents an immutable, multidimensional array of\n * numbers that has a shape and a data type.\n *\n * See `tf.tensor` for details on how to create a `tf.Tensor`.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Tensor<R extends Rank = Rank> {\n  /** Unique id of this tensor. */\n  readonly id: number;\n  /**\n   * Id of the bucket holding the data for this tensor. Multiple arrays can\n   * point to the same bucket (e.g. when calling array.reshape()).\n   */\n  dataId: DataId;\n  /** The shape of the tensor. */\n  readonly shape: ShapeMap[R];\n  /** Number of elements in the tensor. */\n  readonly size: number;\n  /** The data type for the array. */\n  readonly dtype: DataType;\n  /** The rank type for the array (see `Rank` enum). */\n  readonly rankType: R;\n\n  /** Whether this tensor has been globally kept. */\n  kept = false;\n  /** The id of the scope this tensor is being tracked in. */\n  scopeId: number;\n\n  /**\n   * Number of elements to skip in each dimension when indexing. See\n   * https://docs.scipy.org/doc/numpy/reference/generated/\\\n   * numpy.ndarray.strides.html\n   */\n  readonly strides: number[];\n\n  constructor(shape: ShapeMap[R], dtype: DataType, dataId: DataId, id: number) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.dtype = dtype || 'float32';\n    this.size = util.sizeFromShape(shape);\n    this.strides = computeStrides(shape);\n    this.dataId = dataId;\n    this.id = id;\n    this.rankType = (this.rank < 5 ? this.rank.toString() : 'higher') as R;\n  }\n\n  /** Flatten a Tensor to a 1D array. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  flatten(): Tensor1D {\n    this.throwIfDisposed();\n    return this.as1D();\n  }\n\n  /** Converts a size-1 `tf.Tensor` to a `tf.Scalar`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asScalar(): Scalar {\n    this.throwIfDisposed();\n    util.assert(this.size === 1, () => 'The array must have only 1 element.');\n    return this.reshape<Rank.R0>([]);\n  }\n\n  /** Converts a `tf.Tensor` to a `tf.Tensor1D`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as1D(): Tensor1D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R1>([this.size]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor2D`.\n   *\n   * @param rows Number of rows in `tf.Tensor2D`.\n   * @param columns Number of columns in `tf.Tensor2D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as2D(rows: number, columns: number): Tensor2D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R2>([rows, columns]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor3D`.\n   *\n   * @param rows Number of rows in `tf.Tensor3D`.\n   * @param columns Number of columns in `tf.Tensor3D`.\n   * @param depth Depth of `tf.Tensor3D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as3D(rows: number, columns: number, depth: number): Tensor3D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R3>([rows, columns, depth]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor4D`.\n   *\n   * @param rows Number of rows in `tf.Tensor4D`.\n   * @param columns Number of columns in `tf.Tensor4D`.\n   * @param depth Depth of `tf.Tensor4D`.\n   * @param depth2 4th dimension of `tf.Tensor4D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as4D(rows: number, columns: number, depth: number, depth2: number): Tensor4D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R4>([rows, columns, depth, depth2]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor5D`.\n   *\n   * @param rows Number of rows in `tf.Tensor5D`.\n   * @param columns Number of columns in `tf.Tensor5D`.\n   * @param depth Depth of `tf.Tensor5D`.\n   * @param depth2 4th dimension of `tf.Tensor5D`.\n   * @param depth3 5th dimension of 'tf.Tensor5D'\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as5D(\n      rows: number, columns: number, depth: number, depth2: number,\n      depth3: number): Tensor5D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R5>([rows, columns, depth, depth2, depth3]);\n  }\n\n  /**\n   * Casts a `tf.Tensor` to a specified dtype.\n   *\n   * @param dtype Data-type to cast the tensor to.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asType<T extends this>(this: T, dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this, dtype);\n  }\n\n  get rank(): number {\n    return this.shape.length;\n  }\n\n  /**\n   * Returns a promise of `tf.TensorBuffer` that holds the underlying data.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async buffer<D extends DataType = 'float32'>(): Promise<TensorBuffer<R, D>> {\n    const vals = await this.data<D>();\n    return opHandler.buffer(this.shape, this.dtype as D, vals);\n  }\n\n  /** Returns a `tf.TensorBuffer` that holds the underlying data. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  bufferSync<D extends DataType = 'float32'>(): TensorBuffer<R, D> {\n    return opHandler.buffer(this.shape, this.dtype as D, this.dataSync());\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * asynchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async array(): Promise<ArrayMap[R]> {\n    const vals = await this.data();\n    return toNestedArray(this.shape, vals) as ArrayMap[R];\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * synchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  arraySync(): ArrayMap[R] {\n    return toNestedArray(this.shape, this.dataSync()) as ArrayMap[R];\n  }\n\n  /**\n   * Asynchronously downloads the values from the `tf.Tensor`. Returns a\n   * promise of `TypedArray` that resolves when the computation has finished.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]> {\n    this.throwIfDisposed();\n    const data = trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      const bytes = await data as Uint8Array[];\n      try {\n        return bytes.map(b => util.decodeString(b)) as DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as Promise<DataTypeMap[D]>;\n  }\n\n  /**\n   * Synchronously downloads the values from the `tf.Tensor`. This blocks the\n   * UI thread until the values are ready, which can cause performance issues.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D] {\n    this.throwIfDisposed();\n    const data = trackerFn().readSync(this.dataId);\n    if (this.dtype === 'string') {\n      try {\n        return (data as Uint8Array[]).map(b => util.decodeString(b)) as\n            DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as DataTypeMap[D];\n  }\n\n  /** Returns the underlying bytes of the tensor's data. */\n  async bytes(): Promise<Uint8Array[]|Uint8Array> {\n    this.throwIfDisposed();\n    const data = await trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      return data as Uint8Array[];\n    } else {\n      return new Uint8Array((data as TypedArray).buffer);\n    }\n  }\n\n  /**\n   * Disposes `tf.Tensor` from memory.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dispose(): void {\n    if (this.isDisposed) {\n      return;\n    }\n    trackerFn().disposeTensor(this);\n    this.isDisposedInternal = true;\n  }\n\n  protected isDisposedInternal = false;\n  get isDisposed(): boolean {\n    return this.isDisposedInternal;\n  }\n\n  private throwIfDisposed() {\n    if (this.isDisposed) {\n      throw new Error(`Tensor is disposed.`);\n    }\n  }\n\n  /** Casts the array to type `float32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toFloat<T extends this>(this: T): T {\n    return this.asType('float32');\n  }\n\n  /** Casts the array to type `int32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toInt() {\n    return this.asType('int32');\n  }\n\n  /** Casts the array to type `bool` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toBool() {\n    return this.asType('bool');\n  }\n\n  /**\n   * Prints the `tf.Tensor`. See `tf.print` for details.\n   *\n   * @param verbose Whether to print verbose information about the tensor,\n   *    including dtype and size.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  print(verbose = false): void {\n    return opHandler.print(this, verbose);\n  }\n\n  /**\n   * Reshapes the tensor into the provided shape.\n   * See `tf.reshape` for more details.\n   *\n   * @param newShape An array of integers defining the output tensor shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshape<R2 extends Rank>(newShape: ShapeMap[R2]): Tensor<R2> {\n    this.throwIfDisposed();\n    return opHandler.reshape(this, newShape);\n  }\n\n  /**\n   * Reshapes the tensor into the shape of the provided tensor.\n   *\n   * @param x The tensor of required shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshapeAs<T extends Tensor>(x: T): T {\n    this.throwIfDisposed();\n    return this.reshape(x.shape) as T;\n  }\n\n  /**\n   * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n   * into the tensor's shape. See `tf.expandDims` for details.\n   *\n   * @param axis The dimension index at which to insert shape of 1. Defaults to\n   *     0 (the first dimension).\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  expandDims<R2 extends Rank>(axis = 0): Tensor<R2> {\n    return opHandler.expandDims(this, axis);\n  }\n\n  /**\n   * Returns the cumulative sum of the `tf.Tensor` along `axis`.\n   *\n   * @param axis The axis along which to sum. Optional. Defaults to 0.\n   * @param exclusive Whether to perform exclusive cumulative sum. Defaults to\n   *    false. If set to true then the sum of each tensor entry does not\n   * include its own value, but only the values previous to it along the\n   * specified axis.\n   * @param reverse Whether to sum in the opposite direction. Defaults to\n   *    false.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  cumsum<T extends Tensor>(axis = 0, exclusive = false, reverse = false): T {\n    return opHandler.cumsum(this, axis, exclusive, reverse);\n  }\n\n  /**\n   * Returns a `tf.Tensor` with dimensions of size 1 removed from the shape.\n   * See `tf.squeeze` for more details.\n   *\n   * @param axis A list of numbers. If specified, only squeezes the\n   *    dimensions listed. The dimension index starts at 0. It is an error to\n   *    squeeze a dimension that is not 1.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  squeeze<T extends Tensor>(axis?: number[]): T {\n    this.throwIfDisposed();\n    return opHandler.squeeze(this, axis);\n  }\n\n  /** Returns a copy of the tensor. See `tf.clone` for details. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  clone<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.clone(this);\n  }\n\n  /**\n   * Returns a human-readable description of the tensor. Useful for logging.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toString(verbose = false): string {\n    const vals = this.dataSync();\n    return tensorToString(vals, this.shape, this.dtype, verbose);\n  }\n\n  // Below is chain API that is not exposed to docs to avoid repetition. To\n  // expose a method, move it above this comment and add @doc and jsdoc.\n\n  gather<T extends this>(this: T, indices: Tensor|TensorLike, axis = 0): T {\n    this.throwIfDisposed();\n    return opHandler.gather(this, indices, axis);\n  }\n\n  matMul<T extends Tensor>(\n      this: T, b: T|TensorLike, transposeA = false, transposeB = false): T {\n    this.throwIfDisposed();\n    return opHandler.matMul(this, b, transposeA, transposeB);\n  }\n  dot(b: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.dot(this, b);\n  }\n  norm(\n      ord: number|'euclidean'|'fro' = 'euclidean', axis: number|number[] = null,\n      keepDims = false): Tensor {\n    this.throwIfDisposed();\n    return opHandler.norm(this, ord, axis, keepDims);\n  }\n  slice<T extends Tensor<R>>(\n      this: T, begin: number|number[], size?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.slice(this, begin, size);\n  }\n  reverse<T extends Tensor>(this: T, axis?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.reverse(this, axis);\n  }\n  concat<T extends Tensor>(this: T, x: T|Array<T|TensorLike>, axis = 0): T {\n    this.throwIfDisposed();\n    if (x instanceof Tensor) {\n      x = [x];\n    }\n    return opHandler.concat([this, ...x], axis);\n  }\n  split<T extends Tensor>(this: T, numOrSizeSplits: number[]|number, axis = 0):\n      T[] {\n    this.throwIfDisposed();\n    return opHandler.split(this, numOrSizeSplits, axis);\n  }\n  stack(x: Tensor, axis = 0): Tensor {\n    return opHandler.stack([this, x], axis);\n  }\n  unstack(axis = 0): Tensor[] {\n    return opHandler.unstack(this, axis);\n  }\n  /**\n   * @deprecated Use `tf.batchNorm` instead, and note the positional argument\n   *     change of scale, offset, and varianceEpsilon.\n   */\n  batchNormalization(\n      mean: Tensor<R>|Tensor1D|TensorLike,\n      variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n      scale?: Tensor<R>|Tensor1D|TensorLike,\n      offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n    deprecationWarningFn(\n        'tf.batchNormalization() is going away. ' +\n        'Use tf.batchNorm() instead, and note the positional argument change ' +\n        'of scale, offset, and varianceEpsilon');\n    return this.batchNorm(mean, variance, offset, scale, varianceEpsilon);\n  }\n\n  // Reduction ops.\n  all<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.all(this, axis, keepDims);\n  }\n  any<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.any(this, axis, keepDims);\n  }\n  logSumExp<T extends Tensor>(axis: number|number[] = null, keepDims = false):\n      T {\n    this.throwIfDisposed();\n    return opHandler.logSumExp(this, axis, keepDims);\n  }\n  sum<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.sum(this, axis, keepDims);\n  }\n  prod<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.prod(this, axis, keepDims);\n  }\n  mean<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.mean(this, axis, keepDims);\n  }\n  min<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.min(this, axis, keepDims);\n  }\n  max<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.max(this, axis, keepDims);\n  }\n  argMin<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMin(this, axis);\n  }\n  argMax<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMax(this, axis);\n  }\n\n  // Transformations\n  cast<T extends this>(dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this as T, dtype);\n  }\n\n  // Binary ops.\n  addStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.addStrict(this, x);\n  }\n  atan2<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.atan2(this, x);\n  }\n  sub<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.sub(this, x);\n  }\n  subStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.subStrict(this, x);\n  }\n  pow<T extends Tensor>(this: T, exp: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.pow(this, exp);\n  }\n  powStrict(exp: Tensor|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.powStrict(this, exp);\n  }\n  mul<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mul(this, x);\n  }\n  mulStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mulStrict(this, x);\n  }\n  floorDiv<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.floorDiv(this, x);\n  }\n  divStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.divStrict(this, x);\n  }\n  minimum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimum(this, x);\n  }\n  minimumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimumStrict(this, x);\n  }\n  maximum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximum(this, x);\n  }\n  maximumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximumStrict(this, x);\n  }\n  mod<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mod(this, x);\n  }\n  modStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.modStrict(this, x);\n  }\n  squaredDifferenceStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.squaredDifferenceStrict(this, x);\n  }\n\n  // Compare ops.\n\n  notEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqual(this, x);\n  }\n  notEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqualStrict(this, x);\n  }\n  less<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.less(this, x);\n  }\n  lessStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessStrict(this, x);\n  }\n  equal<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equal(this, x);\n  }\n  equalStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equalStrict(this, x);\n  }\n  lessEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqual(this, x);\n  }\n  lessEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqualStrict(this, x);\n  }\n  greater<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greater(this, x);\n  }\n  greaterStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterStrict(this, x);\n  }\n  greaterEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqual(this, x);\n  }\n  greaterEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqualStrict(this, x);\n  }\n\n  // Compare ops.\n  logicalAnd(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalAnd(this, x);\n  }\n  logicalOr(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalOr(this, x);\n  }\n  logicalNot<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logicalNot(this);\n  }\n  logicalXor(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalXor(this, x);\n  }\n  where(condition: Tensor|TensorLike, x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.where(condition, this, x);\n  }\n\n  // Unary ops.\n  neg<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.neg(this);\n  }\n  ceil<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.ceil(this);\n  }\n  floor<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.floor(this);\n  }\n  sign<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sign(this);\n  }\n  isNaN<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isNaN(this);\n  }\n  isInf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isInf(this);\n  }\n  isFinite<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isFinite(this);\n  }\n  exp<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.exp(this);\n  }\n  expm1<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.expm1(this);\n  }\n  log<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log(this);\n  }\n  log1p<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log1p(this);\n  }\n  sqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sqrt(this);\n  }\n  rsqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.rsqrt(this);\n  }\n  square<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.square(this);\n  }\n  reciprocal<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.reciprocal(this);\n  }\n  abs<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.abs(this);\n  }\n  clipByValue(min: number, max: number): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.clipByValue(this, min, max);\n  }\n  relu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu(this);\n  }\n  relu6<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu6(this);\n  }\n  elu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.elu(this);\n  }\n  selu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.selu(this);\n  }\n  leakyRelu(alpha = 0.2): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.leakyRelu(this, alpha);\n  }\n  prelu(alpha: Tensor<R>|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.prelu(this, alpha);\n  }\n  sigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sigmoid(this);\n  }\n  logSigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logSigmoid(this);\n  }\n  softplus<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.softplus(this);\n  }\n  zerosLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.zerosLike(this);\n  }\n  onesLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.onesLike(this);\n  }\n  sin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sin(this);\n  }\n  cos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cos(this);\n  }\n  tan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tan(this);\n  }\n  asin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asin(this);\n  }\n  acos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acos(this);\n  }\n  atan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atan(this);\n  }\n  sinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sinh(this);\n  }\n  cosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cosh(this);\n  }\n  tanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tanh(this);\n  }\n  asinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asinh(this);\n  }\n  acosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acosh(this);\n  }\n  atanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atanh(this);\n  }\n  erf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.erf(this);\n  }\n  round<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.round(this);\n  }\n  step<T extends Tensor>(this: T, alpha = 0.0): T {\n    this.throwIfDisposed();\n    return opHandler.step(this, alpha);\n  }\n  softmax<T extends this>(this: T, dim = -1): T {\n    this.throwIfDisposed();\n    return opHandler.softmax(this, dim);\n  }\n  logSoftmax<T extends this>(this: T, axis = -1): T {\n    this.throwIfDisposed();\n    return opHandler.logSoftmax(this, axis);\n  }\n\n  // Image ops.\n  resizeBilinear<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeBilinear(this, newShape2D, alignCorners);\n  }\n\n  resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeNearestNeighbor(\n        this, newShape2D, alignCorners);\n  }\n\n  // Convolutions.\n  conv1d<T extends Tensor2D|Tensor3D>(\n      this: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv1d(\n        this, filter, stride, pad, dataFormat, dilation, dimRoundingMode);\n  }\n  conv2d<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2dTranspose(\n        this, filter, outputShape, strides, pad, dimRoundingMode);\n  }\n  depthwiseConv2D<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.depthwiseConv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      this: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n      dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.separableConv2d(\n        this, depthwiseFilter, pointwiseFilter, strides, pad, dilation,\n        dataFormat);\n  }\n\n  // Pooling.\n  avgPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.avgPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  maxPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.maxPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      this: T, radius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n    return opHandler.localResponseNormalization(\n        this, radius, bias, alpha, beta);\n  }\n  pool<T extends Tensor3D|Tensor4D>(\n      this: T, windowShape: [number, number]|number, poolingType: 'max'|'avg',\n      padding: 'valid'|'same'|number, dilationRate?: [number, number]|number,\n      strides?: [number, number]|number): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.pool(\n        this, windowShape, poolingType, padding, dilationRate, strides);\n  }\n\n  variable(trainable = true, name?: string, dtype?: DataType): Variable<R> {\n    this.throwIfDisposed();\n    return trackerFn().makeVariable(this, trainable, name, dtype) as\n        Variable<R>;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      this: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T {\n    this.throwIfDisposed();\n    return opHandler.unsortedSegmentSum(this, segmentIds, numSegments);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      this: T, blockShape: number[], crops: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.batchToSpaceND(this, blockShape, crops);\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      this: T, blockShape: number[], paddings: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.spaceToBatchND(this, blockShape, paddings);\n  }\n\n  topk<T extends Tensor>(this: T, k = 1, sorted = true):\n      {values: T, indices: T} {\n    this.throwIfDisposed();\n    return opHandler.topk(this, k, sorted);\n  }\n\n  stridedSlice(\n      this: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n      shrinkAxisMask = 0): Tensor {\n    this.throwIfDisposed();\n    return opHandler.stridedSlice(\n        this, begin, end, strides, beginMask, endMask, ellipsisMask,\n        newAxisMask, shrinkAxisMask);\n  }\n\n  depthToSpace(this: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    this.throwIfDisposed();\n    return opHandler.depthToSpace(this, blockSize, dataFormat);\n  }\n\n  fft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.fft(this);\n  }\n\n  ifft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.ifft(this);\n  }\n\n  rfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.rfft(this);\n  }\n\n  irfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.irfft(this);\n  }\n}\nObject.defineProperty(Tensor, Symbol.hasInstance, {\n  value: (instance: Tensor) => {\n    return !!instance && instance.dataId != null && instance.shape != null &&\n        instance.dtype != null;\n  }\n});\n\nexport interface NumericTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: NumericDataType;\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D];\n  data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]>;\n}\n\nexport interface StringTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: 'string';\n  dataSync<D extends DataType = 'string'>(): DataTypeMap[D];\n  data<D extends DataType = 'string'>(): Promise<DataTypeMap[D]>;\n}\n\n/** @doclink Tensor */\nexport type Scalar = Tensor<Rank.R0>;\n/** @doclink Tensor */\nexport type Tensor1D = Tensor<Rank.R1>;\n/** @doclink Tensor */\nexport type Tensor2D = Tensor<Rank.R2>;\n/** @doclink Tensor */\nexport type Tensor3D = Tensor<Rank.R3>;\n/** @doclink Tensor */\nexport type Tensor4D = Tensor<Rank.R4>;\n/** @doclink Tensor */\nexport type Tensor5D = Tensor<Rank.R5>;\n/** @doclink Tensor */\nexport type Tensor6D = Tensor<Rank.R6>;\n\n/**\n * A mutable `tf.Tensor`, useful for persisting state, e.g. for training.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Variable<R extends Rank = Rank> extends Tensor<R> {\n  name: string;\n\n  constructor(\n      initialValue: Tensor<R>, public trainable: boolean, name: string,\n      tensorId: number) {\n    super(\n        initialValue.shape, initialValue.dtype, initialValue.dataId, tensorId);\n    this.name = name;\n  }\n\n  /**\n   * Assign a new `tf.Tensor` to this variable. The new `tf.Tensor` must have\n   * the same shape and dtype as the old `tf.Tensor`.\n   *\n   * @param newValue New tensor to be assigned to this variable.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  assign(newValue: Tensor<R>): void {\n    if (newValue.dtype !== this.dtype) {\n      throw new Error(\n          `dtype of the new value (${newValue.dtype}) and ` +\n          `previous value (${this.dtype}) must match`);\n    }\n    if (!util.arraysEqual(newValue.shape, this.shape)) {\n      throw new Error(\n          `shape of the new value (${newValue.shape}) and ` +\n          `previous value (${this.shape}) must match`);\n    }\n    trackerFn().disposeTensor(this);\n    this.dataId = newValue.dataId;\n    trackerFn().incRef(this, null /* backend */);\n  }\n\n  dispose(): void {\n    trackerFn().disposeVariable(this);\n    this.isDisposedInternal = true;\n  }\n}\n\nObject.defineProperty(Variable, Symbol.hasInstance, {\n  value: (instance: Variable) => {\n    return instance instanceof Tensor && instance.assign != null &&\n        instance.assign instanceof Function;\n  }\n});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** @docalias number[] */\nexport interface ShapeMap {\n  R0: number[];\n  R1: [number];\n  R2: [number, number];\n  R3: [number, number, number];\n  R4: [number, number, number, number];\n  R5: [number, number, number, number, number];\n  R6: [number, number, number, number, number, number];\n}\n\n/** @docalias number[] */\nexport interface ArrayMap {\n  R0: number;\n  R1: number[];\n  R2: number[][];\n  R3: number[][][];\n  R4: number[][][][];\n  R5: number[][][][][];\n  R6: number[][][][][][];\n}\n\nexport interface DataTypeMap {\n  float32: Float32Array;\n  int32: Int32Array;\n  bool: Uint8Array;\n  complex64: Float32Array;\n  string: string[];\n}\n\nexport interface SingleValueMap {\n  bool: boolean;\n  int32: number;\n  float32: number;\n  complex64: number;\n  string: string;\n}\n\n/** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */\nexport type DataType = keyof DataTypeMap;\nexport type NumericDataType = 'float32'|'int32'|'bool'|'complex64';\nexport type TypedArray = Float32Array|Int32Array|Uint8Array;\n/** Tensor data used in tensor creation and user-facing API. */\nexport type DataValues = DataTypeMap[DataType];\n/** The underlying tensor data that gets stored in a backend. */\nexport type BackendValues = Float32Array|Int32Array|Uint8Array|Uint8Array[];\n\nexport enum Rank {\n  R0 = 'R0',\n  R1 = 'R1',\n  R2 = 'R2',\n  R3 = 'R3',\n  R4 = 'R4',\n  R5 = 'R5',\n  R6 = 'R6'\n}\n\nexport type FlatVector = boolean[]|number[]|TypedArray;\nexport type RegularArray<T> =\n    T[]|T[][]|T[][][]|T[][][][]|T[][][][][]|T[][][][][][];\n\n// tslint:disable-next-line:no-any\nexport interface RecursiveArray<T extends any> {\n  [index: number]: T|RecursiveArray<T>;\n}\n\n// Looks for upcasting types. Used, for example, in operations with mixed dtype\n// inputs.\nenum UpcastInt32AndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'int32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastBoolAndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'bool',\n  'complex64' = 'complex64'\n}\n\nenum UpcastFloat32AndMap {\n  'float32' = 'float32',\n  'int32' = 'float32',\n  'bool' = 'float32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastComplex64AndMap {\n  'float32' = 'complex64',\n  'int32' = 'complex64',\n  'bool' = 'complex64',\n  'complex64' = 'complex64'\n}\n\nconst upcastTypeMap = {\n  'float32': UpcastFloat32AndMap,\n  'int32': UpcastInt32AndMap,\n  'bool': UpcastBoolAndMap,\n  'complex64': UpcastComplex64AndMap\n};\n\nexport function upcastType(typeA: DataType, typeB: DataType): DataType {\n  if (typeA === 'string' || typeB === 'string') {\n    if (typeA === 'string' && typeB === 'string') {\n      return 'string';\n    }\n    throw new Error(`Can not upcast ${typeA} with ${typeB}`);\n  }\n  return upcastTypeMap[typeA][typeB];\n}\n\n/** Returns the output type after summation. */\nexport function sumOutType(type: DataType): DataType {\n  return upcastType(type, 'int32');\n}\n\n/** @docalias TypedArray|Array */\nexport type TensorLike =\n    TypedArray|number|boolean|string|RecursiveArray<number|number[]|TypedArray>|\n    RecursiveArray<boolean>|RecursiveArray<string>|Uint8Array[];\nexport type ScalarLike = number|boolean|string|Uint8Array;\n/** @docalias TypedArray|Array */\nexport type TensorLike1D = TypedArray|number[]|boolean[]|string[]|Uint8Array[];\n/** @docalias TypedArray|Array */\nexport type TensorLike2D = TypedArray|number[]|number[][]|boolean[]|boolean[][]|\n    string[]|string[][]|Uint8Array[]|Uint8Array[][];\n/** @docalias TypedArray|Array */\nexport type TensorLike3D = TypedArray|number[]|number[][][]|boolean[]|\n    boolean[][][]|string[]|string[][][]|Uint8Array[]|Uint8Array[][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike4D = TypedArray|number[]|number[][][][]|boolean[]|\n    boolean[][][][]|string[]|string[][][][]|Uint8Array[]|Uint8Array[][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike5D =\n    TypedArray|number[]|number[][][][][]|boolean[]|boolean[][][][][]|string[]|\n    string[][][][][]|Uint8Array[]|Uint8Array[][][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike6D =\n    TypedArray|number[]|number[][][][][][]|boolean[]|boolean[][][][][][]|\n    string[]|string[][][][][][]|Uint8Array[]|Uint8Array[][][][][];\n\n/** Type for representing image dat in Uint8Array type. */\nexport interface PixelData {\n  width: number;\n  height: number;\n  data: Uint8Array;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {TensorContainer, TensorContainerArray} from './tensor_types';\nimport {upcastType} from './types';\nimport {assert} from './util';\n\nexport function makeTypesMatch<T extends Tensor>(a: T, b: T): [T, T] {\n  if (a.dtype === b.dtype) {\n    return [a, b];\n  }\n  const dtype = upcastType(a.dtype, b.dtype);\n  return [a.cast(dtype), b.cast(dtype)];\n}\n\nexport function assertTypesMatch(a: Tensor, b: Tensor): void {\n  assert(\n      a.dtype === b.dtype,\n      () => `The dtypes of the first(${a.dtype}) and` +\n          ` second(${b.dtype}) input must match`);\n}\n\nexport function isTensorInList(tensor: Tensor, tensorList: Tensor[]): boolean {\n  return tensorList.some(x => x.id === tensor.id);\n}\n\n/**\n * Extracts any `Tensor`s found within the provided object.\n *\n * @param container an object that may be a `Tensor` or may directly contain\n *   `Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. In general it\n *   is safe to pass any object here, except that `Promise`s are not\n *   supported.\n * @returns An array of `Tensors` found within the passed object. If the\n *   argument is simply a `Tensor', a list containing that `Tensor` is\n *   returned. If the object is not a `Tensor` or does not\n *   contain `Tensors`, an empty list is returned.\n */\nexport function getTensorsInContainer(result: TensorContainer): Tensor[] {\n  const list: Tensor[] = [];\n  const seen = new Set<{}|void>();\n  walkTensorContainer(result, list, seen);\n  return list;\n}\n\nfunction walkTensorContainer(\n    container: TensorContainer, list: Tensor[], seen: Set<{}|void>): void {\n  if (container == null) {\n    return;\n  }\n  if (container instanceof Tensor) {\n    list.push(container);\n    return;\n  }\n  if (!isIterable(container)) {\n    return;\n  }\n  // Iteration over keys works also for arrays.\n  const iterable = container as TensorContainerArray;\n  for (const k in iterable) {\n    const val = iterable[k];\n    if (!seen.has(val)) {\n      seen.add(val);\n      walkTensorContainer(val, list, seen);\n    }\n  }\n}\n\n// tslint:disable-next-line:no-any\nfunction isIterable(obj: any): boolean {\n  return Array.isArray(obj) || typeof obj === 'object';\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimingInfo, DataMover, KernelBackend} from './backends/backend';\nimport {Environment, setEnvironmentGlobal} from './environment';\nimport {getGradient, getKernel, getKernelsForBackend, GradFunc, NamedAttrMap, TensorInfo} from './kernel_registry';\nimport {Profiler} from './profiler';\nimport {backpropagateGradients, getFilteredNodesXToY, TapeNode} from './tape';\nimport {DataId, setTensorTracker, Tensor, TensorTracker, Variable} from './tensor';\nimport {GradSaveFunc, NamedTensorMap, NamedVariableMap, TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\nimport {BackendValues, DataType, DataValues} from './types';\nimport * as util from './util';\nimport {bytesFromStringArray, makeOnesTypedArray, now, sizeFromShape} from './util';\n\n/**\n * A function that computes an output. The save function is for saving tensors\n * computed in the forward pass, that we need in the backward pass.\n */\nexport type ForwardFunc<T> = (backend: KernelBackend, save?: GradSaveFunc) => T;\n\n/**\n * @docalias (a: Tensor, b: Tensor,..., save?: Function) => {\n *   value: Tensor,\n *   gradFunc: (dy: Tensor, saved?: NamedTensorMap) => Tensor | Tensor[]\n * }\n */\nexport type CustomGradientFunc<T extends Tensor> =\n    (...inputs: Array<Tensor|GradSaveFunc>) => {\n      value: T;\n      gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[];\n    };\n\nexport type MemoryInfo = {\n  numTensors: number; numDataBuffers: number; numBytes: number;\n  unreliable?: boolean; reasons: string[];\n};\n\ntype KernelProfile = {\n  name: string; bytesAdded: number; totalBytesSnapshot: number;\n  tensorsAdded: number;\n  totalTensorsSnapshot: number;\n  inputShapes: number[][];\n  outputShapes: number[][];\n};\n\nexport type ProfileInfo = {\n  newBytes: number; newTensors: number; peakBytes: number;\n  kernels: KernelProfile[];\n  result: TensorContainer;\n};\n\nexport interface TimingInfo extends BackendTimingInfo {\n  wallMs: number;\n}\n\n/** @docalias Function */\nexport type ScopeFn<T extends TensorContainer> = () => T;\n\ninterface ScopeState {\n  track: Tensor[];\n  name: string;\n  id: number;\n}\n\nclass EngineState {\n  // Public since optimizers will use it.\n  registeredVariables: NamedVariableMap = {};\n\n  nextTapeNodeId = 0;\n  numBytes = 0;\n  numTensors = 0;\n  numStringTensors = 0;\n  numDataBuffers = 0;\n\n  activeTape: TapeNode[];\n  // Number of nested tf.grad() statements when computing higher-order\n  // gradients. E.g. `1` for first-order gradients and `2` for second-order\n  // gradients. Used to track if the tape should be removed after a backprop.\n  gradientDepth = 0;\n  // Number of nested kernel calls. When kernel depth is greater than 1, we turn\n  // off the tape.\n  kernelDepth = 0;\n\n  // Keep Tensors that parallel the tapes.\n  activeScope: ScopeState;\n  scopeStack: ScopeState[] = [];\n  /**\n   * Keeps track of the number of data moves during a kernel execution. We\n   * maintain a stack since kernels can call other kernels, recursively.\n   */\n  numDataMovesStack: number[] = [];\n  nextScopeId = 0;\n\n  tensorInfo = new WeakMap<DataId, {\n    backend: KernelBackend,\n    bytes: number,\n    dtype: DataType,\n    shape: number[],\n    refCount: number\n  }>();\n\n  profiling = false;\n  activeProfile: ProfileInfo =\n      {newBytes: 0, newTensors: 0, peakBytes: 0, kernels: [], result: null};\n\n  dispose() {\n    for (const variableName in this.registeredVariables) {\n      this.registeredVariables[variableName].dispose();\n    }\n  }\n}\n\nexport class Engine implements TensorTracker, DataMover {\n  state: EngineState;\n  backendName: string;\n  registry: {[id: string]: KernelBackend} = {};\n  registryFactory: {\n    [id: string]: {\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority: number\n    }\n  } = {};\n\n  private profiler: Profiler;\n  private backendInstance: KernelBackend;\n  private pendingBackendInit: Promise<boolean>;\n  private pendingBackendInitId = 0;\n\n  constructor(public ENV: Environment) {\n    this.state = new EngineState();\n  }\n\n  async ready(): Promise<void> {\n    if (this.pendingBackendInit != null) {\n      return this.pendingBackendInit.then(() => {});\n    }\n    if (this.backendInstance != null) {\n      return;\n    }\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const success = await this.initializeBackend(backendName).success;\n      if (success) {\n        await this.setBackend(backendName);\n        return;\n      }\n    }\n\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  get backend(): KernelBackend {\n    if (this.pendingBackendInit != null) {\n      throw new Error(\n          `Backend '${this.backendName}' has not yet been initialized. Make ` +\n          `sure to await tf.ready() or await tf.setBackend() before calling ` +\n          `other methods`);\n    }\n    if (this.backendInstance == null) {\n      const {name, asyncInit} = this.initializeBackendsAndReturnBest();\n      if (asyncInit) {\n        throw new Error(\n            `The highest priority backend '${name}' has not yet been ` +\n            `initialized. Make sure to await tf.ready() or ` +\n            `await tf.setBackend() before calling other methods`);\n      }\n      this.setBackend(name);\n    }\n    return this.backendInstance;\n  }\n\n  backendNames(): string[] {\n    return Object.keys(this.registryFactory);\n  }\n\n  findBackend(backendName: string): KernelBackend {\n    if (!(backendName in this.registry)) {\n      // If the backend hasn't been initialized but we have a registry entry for\n      // it, initialize it and return it.\n      if (backendName in this.registryFactory) {\n        const {asyncInit} = this.initializeBackend(backendName);\n        if (asyncInit) {\n          // Backend is not ready yet.\n          return null;\n        }\n      } else {\n        return null;\n      }\n    }\n    return this.registry[backendName];\n  }\n\n  findBackendFactory(backendName: string):\n      () => KernelBackend | Promise<KernelBackend> {\n    if (!(backendName in this.registryFactory)) {\n      return null;\n    }\n    return this.registryFactory[backendName].factory;\n  }\n\n  registerBackend(\n      backendName: string,\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority = 1): boolean {\n    if (backendName in this.registryFactory) {\n      console.warn(\n          `${backendName} backend was already registered. ` +\n          `Reusing existing backend factory.`);\n      return false;\n    }\n    this.registryFactory[backendName] = {factory, priority};\n    return true;\n  }\n\n  async setBackend(backendName: string): Promise<boolean> {\n    if (this.registryFactory[backendName] == null) {\n      throw new Error(`Backend name '${backendName}' not found in registry`);\n    }\n    this.backendName = backendName;\n    if (this.registry[backendName] == null) {\n      this.backendInstance = null;\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      const result = asyncInit ? await success : success;\n      if (!result) {\n        return false;\n      }\n    }\n    this.backendInstance = this.registry[backendName];\n    this.setupRegisteredKernels();\n    // Reset the profiler.\n    this.profiler = new Profiler(this.backendInstance);\n\n    return true;\n  }\n\n  private setupRegisteredKernels(): void {\n    const kernels = getKernelsForBackend(this.backendName);\n    kernels.forEach(kernel => {\n      if (kernel.setupFunc != null) {\n        kernel.setupFunc(this.backendInstance);\n      }\n    });\n  }\n\n  private disposeRegisteredKernels(backendName: string): void {\n    const kernels = getKernelsForBackend(backendName);\n    kernels.forEach(kernel => {\n      if (kernel.disposeFunc != null) {\n        kernel.disposeFunc(this.registry[backendName]);\n      }\n    });\n  }\n\n  /**\n   * Initializes a backend by looking up the backend name in the factory\n   * registry and calling the factory method. Returns a boolean representing\n   * whether the initialization of the backend suceeded. Throws an error if\n   * there is no backend in the factory registry.\n   */\n  private initializeBackend(backendName: string):\n      {success: boolean|Promise<boolean>, asyncInit: boolean} {\n    const registryFactoryEntry = this.registryFactory[backendName];\n    if (registryFactoryEntry == null) {\n      throw new Error(\n          `Cannot initialize backend ${backendName}, no registration found.`);\n    }\n\n    try {\n      const backend = registryFactoryEntry.factory();\n      // Test if the factory returns a promise.\n      if (Promise.resolve(backend) === backend) {\n        const promiseId = ++this.pendingBackendInitId;\n        const success =\n            backend\n                .then(backendInstance => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.registry[backendName] = backendInstance;\n                  this.pendingBackendInit = null;\n                  return true;\n                })\n                .catch(err => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.pendingBackendInit = null;\n                  console.warn(\n                      `Initialization of backend ${backendName} failed`);\n                  console.warn(err.stack || err.message);\n                  return false;\n                });\n        this.pendingBackendInit = success;\n        return {success, asyncInit: true};\n      } else {\n        this.registry[backendName] = backend as KernelBackend;\n        return {success: true, asyncInit: false};\n      }\n    } catch (err) {\n      console.warn(`Initialization of backend ${backendName} failed`);\n      console.warn(err.stack || err.message);\n      return {success: false, asyncInit: false};\n    }\n  }\n\n  removeBackend(backendName: string): void {\n    if (!(backendName in this.registryFactory)) {\n      throw new Error(`${backendName} backend not found in registry`);\n    }\n    if (this.backendName === backendName && this.pendingBackendInit != null) {\n      // There is a pending promise of the backend we want to remove. Make it\n      // obsolete.\n      this.pendingBackendInitId++;\n    }\n\n    if (backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n\n    delete this.registryFactory[backendName];\n\n    // Unset the backend if it is active.\n    if (this.backendName === backendName) {\n      this.pendingBackendInit = null;\n      this.backendName = null;\n      this.backendInstance = null;\n    }\n  }\n\n  private getSortedBackends(): string[] {\n    if (Object.keys(this.registryFactory).length === 0) {\n      throw new Error('No backend found in registry.');\n    }\n    return Object.keys(this.registryFactory).sort((a: string, b: string) => {\n      // Highest priority comes first.\n      return this.registryFactory[b].priority -\n          this.registryFactory[a].priority;\n    });\n  }\n\n  private initializeBackendsAndReturnBest():\n      {name: string, asyncInit: boolean} {\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      if (asyncInit || success) {\n        return {name: backendName, asyncInit};\n      }\n    }\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  moveData(destBackend: KernelBackend, dataId: DataId) {\n    const info = this.state.tensorInfo.get(dataId);\n    const srcBackend = info.backend;\n    const values = this.readSync(dataId);\n    // Delete the tensor from the old backend and move it to the new\n    // backend.\n    srcBackend.disposeData(dataId);\n    info.backend = destBackend;\n    destBackend.move(dataId, values, info.shape, info.dtype);\n    if (this.shouldCheckForMemLeaks()) {\n      // Track the number of moves during a kernel execution to correctly\n      // detect memory leaks.\n      this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;\n    }\n  }\n\n  tidy<T extends TensorContainer>(nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>):\n      T {\n    let name: string = null;\n    if (fn == null) {\n      // Called with only 1 argument.\n      if (typeof nameOrFn !== 'function') {\n        throw new Error('Please provide a function to tidy()');\n      }\n      fn = nameOrFn;\n    } else {\n      // Called with 2 arguments.\n      if (typeof nameOrFn !== 'string' && !(nameOrFn instanceof String)) {\n        throw new Error(\n            'When calling with two arguments, the first argument ' +\n            'to tidy() must be a string');\n      }\n      if (typeof fn !== 'function') {\n        throw new Error(\n            'When calling with two arguments, the 2nd argument ' +\n            'to tidy() must be a function');\n      }\n      name = nameOrFn as string;\n      // TODO(nsthorat,smilkov): Do operation logging and performance\n      // profiling.\n    }\n    let result: T;\n    return this.scopedRun(\n        () => this.startScope(name), () => this.endScope(result), () => {\n          result = fn();\n          if (result instanceof Promise) {\n            console.error('Cannot return a Promise inside of tidy.');\n          }\n          return result;\n        });\n  }\n\n  private scopedRun<T>(start: () => void, end: () => void, f: () => T): T {\n    start();\n    try {\n      const res = f();\n      end();\n      return res;\n    } catch (ex) {\n      end();\n      throw ex;\n    }\n  }\n\n  private static nextTensorId = 0;\n  private nextTensorId(): number {\n    return Engine.nextTensorId++;\n  }\n\n  private static nextVariableId = 0;\n  private nextVariableId(): number {\n    return Engine.nextVariableId++;\n  }\n\n  /**\n   * This method is called instead of the public-facing tensor.clone() when\n   * saving a tensor for backwards pass. It makes sure to add the clone\n   * operation to the tape regardless of being called inside a kernel\n   * execution.\n   *\n   * This method will go away once all kernels are modularized since we won't\n   * need to turn off the tape inside runKernel().\n   */\n  private clone(x: Tensor): Tensor {\n    const y = this.makeTensorFromDataId(x.dataId, x.shape, x.dtype);\n    const inputs = {x};\n    const grad = (dy: Tensor) => ({x: () => dy.toFloat()});\n    const saved: Tensor[] = [];\n    this.addTapeNode(this.state.activeScope.name, inputs, [y], grad, saved, {});\n    return y;\n  }\n\n  /**\n   * Execute a kernel with the given name and return the output tensor.\n   *\n   * @param kernelName The name of the kernel to execute.\n   * @param inputs A map of input names to tensors.\n   * @param attrs A map of attribute names to their values. An attribute is a\n   *     primitive (non-tensor) input to the kernel.\n   * @param inputsToSave A list of tensors, inputs to save for the backprop\n   *     computation.\n   * @param outputsToSave A list of booleans, specifying which output to save\n   *     for the backprop computation. These are booleans since the output\n   * tensors are not visible to the user.\n   */\n  runKernel(\n      kernelName: string, inputs: NamedTensorMap, attrs: NamedAttrMap,\n      inputsToSave?: Tensor[], outputsToSave?: boolean[]): Tensor|Tensor[] {\n    const forwardFunc: null = null;\n    const backwardsFunc: null = null;\n    // Call runKernel as a stop-gap until we modularize all kernels.\n    // Once we modularize all kernels, we will remove the existing\n    // `runKernelFunc`.\n    return this.runKernelFunc(\n        forwardFunc, inputs, backwardsFunc, kernelName, attrs, inputsToSave,\n        outputsToSave);\n  }\n\n  private shouldCheckForMemLeaks(): boolean {\n    return this.ENV.getBool('IS_TEST');\n  }\n\n  private checkKernelForMemLeak(\n      kernelName: string, numDataIdsBefore: number,\n      outInfos: TensorInfo[]): void {\n    const numDataIdsAfter = this.backend.numDataIds();\n\n    // Count the number of data ids associated with the result of the kernel.\n    let numOutputDataIds = 0;\n    outInfos.forEach(info => {\n      // Complex numbers allocate 3 data ids, one for 'real', one for\n      // 'imaginary', and one for the container that holds the former two.\n      numOutputDataIds += (info.dtype === 'complex64' ? 3 : 1);\n    });\n\n    // Account for the number of moves during kernel execution. A \"data move\"\n    // can happen in the middle of a kernel execution, placing a new (key,value)\n    // pair in the data storage. Since data moves have net zero effect (we\n    // always remove the data from the old backend), we have to cancel them out\n    // when detecting memory leaks.\n    const numMoves =\n        this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];\n    const dataIdsLeaked =\n        numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;\n    if (dataIdsLeaked > 0) {\n      throw new Error(\n          `Backend '${this.backendName}' has an internal memory leak ` +\n          `(${dataIdsLeaked} data ids) after running '${kernelName}'`);\n    }\n  }\n\n  /**\n   * @deprecated Use `runKernel` for newly added kernels. Keep using this method\n   *     only for kernels that are not yet fully modularized.\n   */\n  runKernelFunc<T extends Tensor|Tensor[], I extends NamedTensorMap>(\n      forwardFunc: ForwardFunc<T>, inputs: I,\n      backwardsFunc?: (dy: T, saved: Tensor[]) => {[P in keyof I]: () => I[P]},\n      kernelName?: string, attrs?: NamedAttrMap, inputsToSave?: Tensor[],\n      outputsToSave?: boolean[]): T {\n    let outputs: Tensor[];\n    let saved: Tensor[] = [];\n    const isTapeOn = this.isTapeOn();\n    if (kernelName == null) {\n      kernelName =\n          this.state.activeScope != null ? this.state.activeScope.name : '';\n    }\n\n    const startingBytecount = this.state.numBytes;\n    const startingNumTensors = this.state.numTensors;\n\n    if (this.shouldCheckForMemLeaks()) {\n      this.state.numDataMovesStack.push(0);\n    }\n\n    let kernelFunc: () => Tensor[];\n    const kernel = getKernel(kernelName, this.backendName);\n    let out: TensorInfo|TensorInfo[];\n    if (kernel != null) {\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = kernel.kernelFunc({inputs, attrs, backend: this.backend});\n        const outInfos = Array.isArray(out) ? out : [out];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos);\n        }\n        const outTensors = outInfos.map(\n            ({dataId, shape, dtype}) =>\n                this.makeTensorFromDataId(dataId, shape, dtype));\n\n        // Save the inputs and outputs.\n        // Do not save unless we are recording to the tape. Otherwise it would\n        // cause a mem leak since we would never run backprop, which disposes\n        // the kept tensors.\n        if (isTapeOn) {\n          let tensorsToSave =\n              this.getTensorsForGradient(kernelName, inputs, outTensors);\n          if (tensorsToSave == null) {\n            // Fallback for ops that call runKernelFunc and pass in\n            // inputsToSave and outputsToSave. Currently this is the set of ops\n            // with kernel support in the WASM backend. Once those ops and\n            // respective gradients are modularised we can remove this path.\n            if (outputsToSave == null) {\n              outputsToSave = [];\n            }\n            const outsToSave = outTensors.filter((_, i) => outputsToSave[i]);\n            tensorsToSave = (inputsToSave || []).slice().concat(outsToSave);\n          }\n          saved = this.saveTensorsForBackwardMode(tensorsToSave);\n        }\n        return outTensors;\n      };\n    } else {\n      const saveFunc: GradSaveFunc = (tensors) => {\n        // Do not save unless we are recording to the tape. Otherwise it would\n        // cause a mem leak since we would never run backprop, which disposes\n        // the kept tensors.\n        if (!isTapeOn) {\n          return;\n        }\n        saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n      };\n\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = this.tidy(() => forwardFunc(this.backend, saveFunc));\n        const outs = (Array.isArray(out) ? out : [out]) as Tensor[];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outs);\n        }\n        return outs;\n      };\n    }\n\n    // Stop recording to a tape when running a kernel.\n    this.scopedRun(\n        () => this.state.kernelDepth++, () => this.state.kernelDepth--, () => {\n          if (!this.ENV.getBool('DEBUG')) {\n            outputs = kernelFunc();\n          } else {\n            outputs = this.profiler.profileKernel(\n                kernelName, inputs, () => kernelFunc());\n          }\n        });\n\n    if (isTapeOn) {\n      this.addTapeNode(\n          kernelName, inputs, outputs, backwardsFunc, saved, attrs);\n    }\n\n    if (this.state.profiling) {\n      this.state.activeProfile.kernels.push({\n        name: kernelName,\n        bytesAdded: this.state.numBytes - startingBytecount,\n        totalBytesSnapshot: this.state.numBytes,\n        tensorsAdded: this.state.numTensors - startingNumTensors,\n        totalTensorsSnapshot: this.state.numTensors,\n        inputShapes: Object.keys(inputs).map(key => inputs[key].shape),\n        outputShapes: outputs.map(item => item.shape)\n      });\n    }\n    return (Array.isArray(out) ? outputs : outputs[0]) as T;\n  }\n\n  /**\n   * Saves tensors used in forward mode for use in backward mode.\n   *\n   * @param tensors the list of tensors to save.\n   */\n  private saveTensorsForBackwardMode(tensors: Tensor[]): Tensor[] {\n    const saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n    return saved;\n  }\n\n  /**\n   * Returns a list of tensors to save for a given gradient calculation.\n   *\n   * Returns undefined if their is no registered gradient for this kernel in the\n   * gradient registry.\n   *\n   * @param kernelName name of kernel to look up gradient for.\n   * @param inputs a map of input tensors.\n   * @param outputs an array of output tensors from forward mode of kernel.\n   */\n  private getTensorsForGradient(\n      kernelName: string, inputs: NamedTensorMap,\n      outputs: Tensor[]): Tensor[]|null {\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      const inputsToSave: string[] = gradConfig.inputsToSave || [];\n      const outputsToSave: boolean[] = gradConfig.outputsToSave || [];\n\n      // If saveAllInputs is true, all inputs will be saved. Otherwise, inputs\n      // specified in inputsToSave will be saved.\n      let inputTensorsToSave: Tensor[];\n      if (gradConfig.saveAllInputs) {\n        util.assert(\n            Array.isArray(inputs),\n            () => 'saveAllInputs is true, expected inputs to be an array.');\n\n        inputTensorsToSave = Object.keys(inputs).map((key) => inputs[key]);\n      } else {\n        inputTensorsToSave = inputsToSave.map((inputName) => inputs[inputName]);\n      }\n\n      const outputTensorsToSave: Tensor[] =\n          outputs.filter((_, i) => outputsToSave[i]);\n\n      return inputTensorsToSave.concat(outputTensorsToSave);\n    }\n    // TODO(yassogba) throw exception here once all runkernelFunc calls with\n    // inputsToSave/outputsToSave are removed\n    return null;\n  }\n\n  /**\n   * Internal method used by public APIs for tensor creation. Makes a new\n   * tensor with the provided shape, dtype and values. It always\n   * creates a new data id and writes the values to the underlying backend.\n   */\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    if (values == null) {\n      throw new Error('Values passed to engine.makeTensor() are null');\n    }\n    dtype = dtype || 'float32';\n    backend = backend || this.backend;\n    let backendVals = values as BackendValues;\n    if (dtype === 'string' && util.isString(values[0])) {\n      backendVals = (values as string[]).map(d => util.encodeString(d));\n    }\n    const dataId = backend.write(backendVals, shape, dtype);\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n\n    // Count bytes for string tensors.\n    if (dtype === 'string') {\n      const info = this.state.tensorInfo.get(dataId);\n      const newBytes = bytesFromStringArray(backendVals as Uint8Array[]);\n      this.state.numBytes += newBytes - info.bytes;\n      info.bytes = newBytes;\n    }\n    return t;\n  }\n\n  /**\n   * Internal method used by backends. Makes a new tensor\n   * that is a wrapper around an existing data id. It doesn't create\n   * a new data id, only increments the ref count used in memory tracking.\n   */\n  makeTensorFromDataId(\n      dataId: DataId, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    dtype = dtype || 'float32';\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n    return t;\n  }\n\n  makeVariable(\n      initialValue: Tensor, trainable = true, name?: string,\n      dtype?: DataType): Variable {\n    name = name || this.nextVariableId().toString();\n    if (dtype != null && dtype !== initialValue.dtype) {\n      initialValue = initialValue.asType(dtype);\n    }\n    const v = new Variable(initialValue, trainable, name, this.nextTensorId());\n    if (this.state.registeredVariables[v.name] != null) {\n      throw new Error(`Variable with name ${v.name} was already registered`);\n    }\n    this.state.registeredVariables[v.name] = v;\n    this.incRef(v, this.backend);\n    return v;\n  }\n\n  incRef(a: Tensor, backend: KernelBackend): void {\n    const refCount = this.state.tensorInfo.has(a.dataId) ?\n        this.state.tensorInfo.get(a.dataId).refCount :\n        0;\n    this.state.numTensors++;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors++;\n    }\n    if (refCount === 0) {\n      this.state.numDataBuffers++;\n\n      // Bytes for complex numbers are counted by their components. Bytes for\n      // string tensors are counted when writing values.\n      let bytes = 0;\n      if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n        bytes = a.size * util.bytesPerElement(a.dtype);\n      }\n      this.state.tensorInfo.set(a.dataId, {\n        backend: backend || this.backend,\n        dtype: a.dtype,\n        shape: a.shape,\n        bytes,\n        refCount: 0\n      });\n      this.state.numBytes += bytes;\n    }\n    this.state.tensorInfo.get(a.dataId).refCount++;\n    if (!(a instanceof Variable)) {\n      this.track(a);\n    }\n  }\n\n  disposeTensor(a: Tensor): void {\n    if (!this.state.tensorInfo.has(a.dataId)) {\n      return;\n    }\n\n    this.state.numTensors--;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors--;\n    }\n    const info = this.state.tensorInfo.get(a.dataId);\n    const refCount = info.refCount;\n    if (refCount <= 1) {\n      // Don't count bytes for complex numbers as they are counted by their\n      // components.\n      if (a.dtype !== 'complex64') {\n        this.state.numBytes -= info.bytes;\n      }\n      this.state.numDataBuffers--;\n      info.backend.disposeData(a.dataId);\n      this.state.tensorInfo.delete(a.dataId);\n    } else {\n      this.state.tensorInfo.get(a.dataId).refCount--;\n    }\n    // TODO(nsthorat): Construct an error and save the stack trace for\n    // debugging when in debug mode. Creating a stack trace is too expensive\n    // to do unconditionally.\n  }\n\n  disposeVariables(): void {\n    for (const varName in this.state.registeredVariables) {\n      const v = this.state.registeredVariables[varName];\n      this.disposeVariable(v);\n    }\n  }\n\n  disposeVariable(v: Variable): void {\n    this.disposeTensor(v);\n    if (this.state.registeredVariables[v.name] != null) {\n      delete this.state.registeredVariables[v.name];\n    }\n  }\n\n  memory(): MemoryInfo {\n    const info = this.backend.memory() as MemoryInfo;\n    info.numTensors = this.state.numTensors;\n    info.numDataBuffers = this.state.numDataBuffers;\n    info.numBytes = this.state.numBytes;\n    if (this.state.numStringTensors > 0) {\n      info.unreliable = true;\n      if (info.reasons == null) {\n        info.reasons = [];\n      }\n      info.reasons.push(\n          'Memory usage by string tensors is approximate ' +\n          '(2 bytes per character)');\n    }\n    return info;\n  }\n\n  async profile(query: () => TensorContainer): Promise<ProfileInfo> {\n    this.state.profiling = true;\n\n    const startBytes = this.state.numBytes;\n    const startNumTensors = this.state.numTensors;\n\n    this.state.activeProfile.kernels = [];\n    this.state.activeProfile.result = query();\n\n    this.state.profiling = false;\n\n    this.state.activeProfile.peakBytes = Math.max(\n        ...this.state.activeProfile.kernels.map(d => d.totalBytesSnapshot));\n    this.state.activeProfile.newBytes = this.state.numBytes - startBytes;\n    this.state.activeProfile.newTensors =\n        this.state.numTensors - startNumTensors;\n    return this.state.activeProfile;\n  }\n\n  isTapeOn(): boolean {\n    return this.state.gradientDepth > 0 && this.state.kernelDepth === 0;\n  }\n\n  private addTapeNode(\n      kernelName: string, inputs: NamedTensorMap, outputs: Tensor[],\n      gradientsFunc: GradFunc, saved: Tensor[], attrs: NamedAttrMap): void {\n    const tapeNode: TapeNode =\n        {id: this.state.nextTapeNodeId++, kernelName, inputs, outputs, saved};\n\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      gradientsFunc = gradConfig.gradFunc;\n    }\n    if (gradientsFunc != null) {\n      tapeNode.gradient = (dys: Tensor[]) => {\n        // TODO(smilkov): To optimize back-prop, pass dys that are not used in\n        // the backprop graph to the user as null instead of zeros\n        dys = dys.map((dy, i) => {\n          if (dy == null) {\n            const output = outputs[i];\n            const vals = util.makeZerosTypedArray(output.size, output.dtype);\n            return this.makeTensor(vals, output.shape, output.dtype);\n          }\n          return dy;\n        });\n        // Grad functions of ops with single outputs expect a dy, while ops\n        // with multiple outputs expect dys (array of dy).\n        return gradientsFunc(dys.length > 1 ? dys : dys[0], saved, attrs);\n      };\n    }\n    this.state.activeTape.push(tapeNode);\n  }\n\n  keep<T extends Tensor>(result: T): T {\n    result.kept = true;\n    return result;\n  }\n\n  private startTape() {\n    if (this.state.gradientDepth === 0) {\n      this.state.activeTape = [];\n    }\n    this.state.gradientDepth++;\n  }\n\n  private endTape() {\n    this.state.gradientDepth--;\n  }\n\n  /**\n   * Start a scope. Use this with endScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  startScope(name?: string) {\n    const scopeInfo: ScopeState = {\n      track: [],\n      name: 'unnamed scope',\n      id: this.state.nextScopeId++\n    };\n    if (name) {\n      scopeInfo.name = name;\n    }\n    this.state.scopeStack.push(scopeInfo);\n    this.state.activeScope = scopeInfo;\n  }\n\n  /**\n   * End a scope. Use this with startScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  endScope(result?: TensorContainer) {\n    const tensorsToTrackInParent = getTensorsInContainer(result);\n    const tensorsToTrackInParentSet =\n        new Set(tensorsToTrackInParent.map(t => t.id));\n\n    // Dispose the arrays tracked in this scope.\n    for (let i = 0; i < this.state.activeScope.track.length; i++) {\n      const tensor = this.state.activeScope.track[i];\n      if (!tensor.kept && !tensorsToTrackInParentSet.has(tensor.id)) {\n        tensor.dispose();\n      }\n    }\n\n    const oldScope = this.state.scopeStack.pop();\n    this.state.activeScope = this.state.scopeStack.length === 0 ?\n        null :\n        this.state.scopeStack[this.state.scopeStack.length - 1];\n\n    // Track the current result in the parent scope.\n    tensorsToTrackInParent.forEach(tensor => {\n      // Only track the tensor if was allocated in the inner scope and is not\n      // globally kept.\n      if (!tensor.kept && tensor.scopeId === oldScope.id) {\n        this.track(tensor);\n      }\n    });\n  }\n\n  /**\n   * Returns gradients of `f` with respect to each of the `xs`. The gradients\n   * returned are of the same length as `xs`, but some might be null if `f`\n   * was not a function of that `x`. It also takes optional dy to multiply the\n   * gradient, which defaults to `1`.\n   */\n  gradients<T extends Tensor>(\n      f: () => T, xs: Tensor[], dy?: T,\n      allowNoGradients = false): {value: T, grads: Tensor[]} {\n    util.assert(\n        xs.length > 0, () => 'gradients() received an empty list of xs.');\n    if (dy != null && dy.dtype !== 'float32') {\n      throw new Error(`dy must have 'float32' dtype, but has '${dy.dtype}'`);\n    }\n\n    const y = this.scopedRun(\n        () => this.startTape(), () => this.endTape(),\n        () => this.tidy('forward', f));\n\n    util.assert(\n        y instanceof Tensor,\n        () => 'The result y returned by f() must be a tensor.');\n    // Filter out the nodes that don't connect x => y.\n    const filteredTape = getFilteredNodesXToY(this.state.activeTape, xs, y);\n    if (!allowNoGradients && filteredTape.length === 0 && xs.length > 0) {\n      throw new Error(\n          'Cannot compute gradient of y=f(x) with respect to x. Make sure ' +\n          'that the f you passed encloses all operations that lead from x ' +\n          'to y.');\n    }\n\n    return this.tidy('backward', () => {\n      const accumulatedGradientMap: {[tensorId: number]: Tensor} = {};\n      accumulatedGradientMap[y.id] = (dy == null) ? ones(y.shape) : dy;\n\n      // Backprop gradients through the filtered nodes.\n      backpropagateGradients(\n          accumulatedGradientMap, filteredTape,\n          // Pass the tidy function to avoid circular dep with `tape.ts`.\n          f => this.tidy(f as ScopeFn<Tensor>));\n      const grads = xs.map(x => accumulatedGradientMap[x.id]);\n\n      if (this.state.gradientDepth === 0) {\n        // This means that we are not computing higher-order gradients\n        // and can clean up the tape.\n        this.state.activeTape.forEach(node => {\n          for (const tensor of node.saved) {\n            tensor.dispose();\n          }\n        });\n        this.state.activeTape = null;\n      }\n      return {value: y, grads};\n    });\n  }\n\n  customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n      (...args: Array<Tensor|GradSaveFunc>) => T {\n    util.assert(\n        util.isFunction(f),\n        () => 'The f passed in customGrad(f) must be a function.');\n    return (...inputs: Tensor[]): T => {\n      util.assert(\n          inputs.every(t => t instanceof Tensor),\n          () => 'The args passed in customGrad(f)(x1, x2,...) must all be ' +\n              'tensors');\n\n      let res: {\n        value: T,\n        gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[],\n      };\n      const inputMap: NamedTensorMap = {};\n      inputs.forEach((input, i) => {\n        inputMap[i] = input;\n      });\n      return this.runKernelFunc(\n          (_, save) => {\n            res = f(...[...inputs, save]);\n            util.assert(\n                res.value instanceof Tensor,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.value` is a tensor');\n            util.assert(\n                util.isFunction(res.gradFunc),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function.');\n            return res.value;\n          },\n          inputMap,\n          (dy: T, saved: Tensor[]) => {\n            const gradRes = res.gradFunc(dy, saved);\n            const grads: Tensor[] =\n                Array.isArray(gradRes) ? gradRes : [gradRes];\n            util.assert(\n                grads.length === inputs.length,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'the same number of tensors as inputs passed to f(...).');\n            util.assert(\n                grads.every(t => t instanceof Tensor),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'a list of only tensors.');\n            const gradMap: {[key: string]: () => Tensor} = {};\n            grads.forEach((grad, i) => {\n              gradMap[i] = () => grad;\n            });\n            return gradMap;\n          });\n    };\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.readSync(dataId);\n  }\n  read(dataId: DataId): Promise<BackendValues> {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.read(dataId);\n  }\n\n  async time(query: () => void): Promise<TimingInfo> {\n    const start = now();\n    const timingInfo = await this.backend.time(query) as TimingInfo;\n    timingInfo.wallMs = now() - start;\n    return timingInfo;\n  }\n\n  /**\n   * Tracks a Tensor in the current scope to be automatically cleaned up\n   * when the current scope ends, and returns the value.\n   *\n   * @param result The Tensor to track in the current scope.\n   */\n  private track<T extends Tensor>(result: T): T {\n    if (this.state.activeScope != null) {\n      result.scopeId = this.state.activeScope.id;\n      this.state.activeScope.track.push(result);\n    }\n\n    return result;\n  }\n\n  get registeredVariables(): NamedVariableMap {\n    return this.state.registeredVariables;\n  }\n\n  /**\n   * Resets the engine state. Removes all backends but does not remove\n   * registered backend factories.\n   */\n  reset(): void {\n    // Make any pending promise obsolete.\n    this.pendingBackendInitId++;\n\n    this.state.dispose();\n    this.ENV.reset();\n    this.state = new EngineState();\n\n    for (const backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n    this.backendName = null;\n    this.backendInstance = null;\n    this.pendingBackendInit = null;\n  }\n}\n\nfunction ones(shape: number[]): Tensor {\n  const values = makeOnesTypedArray(sizeFromShape(shape), 'float32');\n  return ENGINE.makeTensor(values, shape, 'float32');\n}\n\nlet GLOBAL: {_tfengine: Engine};\nfunction getGlobalNamespace(): {_tfengine: Engine} {\n  if (GLOBAL == null) {\n    // tslint:disable-next-line:no-any\n    let ns: any;\n    if (typeof (window) !== 'undefined') {\n      ns = window;\n    } else if (typeof (global) !== 'undefined') {\n      ns = global;\n    } else if (typeof (process) !== 'undefined') {\n      ns = process;\n    } else if (typeof (self) !== 'undefined') {\n      ns = self;\n    } else {\n      throw new Error('Could not find a global object');\n    }\n    GLOBAL = ns;\n  }\n  return GLOBAL;\n}\n\nfunction getOrMakeEngine(): Engine {\n  const ns = getGlobalNamespace();\n  if (ns._tfengine == null) {\n    const environment = new Environment(ns);\n    ns._tfengine = new Engine(environment);\n  }\n  setEnvironmentGlobal(ns._tfengine.ENV);\n\n  // Tell the current tensor interface that the global engine is responsible\n  // for tracking.\n  setTensorTracker(() => ns._tfengine);\n  return ns._tfengine;\n}\n\nexport const ENGINE = getOrMakeEngine();\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport * as util from './util';\n\nexport interface TapeNode {\n  id: number;\n  kernelName: string;\n  outputs: Tensor[];\n  inputs: NamedTensorMap;\n  // Optional params, defined only for ops with gradient impl.\n  gradient?: (dys: Tensor[]) => NamedGradientMap;\n  saved?: Tensor[];\n}\n\nexport type NamedGradientMap = {\n  [inputName: string]: () => Tensor;\n};\n\n/**\n * Computes a list of TapeNodes that connect x to y, filtering everything else\n * out and preserving the order of the original tape elements.\n *\n * @param tape The tape elements to filter.\n * @param xs The input Tensors.\n * @param y The output Tensor.\n */\nexport function getFilteredNodesXToY(\n    tape: TapeNode[], xs: Tensor[], y: Tensor): TapeNode[] {\n  // Forward pass to compute all the nodes and Tensors that are transitively a\n  // function of x.\n  const tensorsFromX: {[tensorId: number]: boolean} = {};\n  const nodesFromX: {[nodeId: number]: boolean} = {};\n  for (let i = 0; i < xs.length; i++) {\n    tensorsFromX[xs[i].id] = true;\n  }\n\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n    for (const inputName in nodeInputs) {\n      const input = nodeInputs[inputName];\n\n      let anyInputFromX = false;\n      for (let j = 0; j < xs.length; j++) {\n        if (tensorsFromX[input.id]) {\n          node.outputs.forEach(output => tensorsFromX[output.id] = true);\n          anyInputFromX = true;\n          nodesFromX[node.id] = true;\n          break;\n        }\n      }\n\n      if (anyInputFromX) {\n        break;\n      }\n    }\n  }\n\n  // Backward pass to find all of the nodes and Tensors that lead to y.\n  const tensorsLeadToY: {[tensorId: number]: boolean} = {};\n  tensorsLeadToY[y.id] = true;\n  const nodesToY: {[nodeId: number]: boolean} = {};\n\n  for (let i = tape.length - 1; i >= 0; i--) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n\n    // If any of the outputs lead to y, mark all of the inputs as leading to y.\n    for (let j = 0; j < node.outputs.length; j++) {\n      if (tensorsLeadToY[node.outputs[j].id]) {\n        for (const inputName in nodeInputs) {\n          tensorsLeadToY[nodeInputs[inputName].id] = true;\n          nodesToY[node.id] = true;\n        }\n        break;\n      }\n    }\n  }\n\n  // Return the paths that come from x and lead to y.\n  const filteredTape: TapeNode[] = [];\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n\n    if (nodesFromX[node.id] && nodesToY[node.id]) {\n      // Prune the inputs from the node that aren't a function of x.\n      const prunedInputs: {[inputName: string]: Tensor} = {};\n      for (const inputName in node.inputs) {\n        const nodeInput = node.inputs[inputName];\n        if (tensorsFromX[nodeInput.id]) {\n          prunedInputs[inputName] = nodeInput;\n        }\n      }\n\n      // Copy the node and overwrite inputsAndArgs to the pruned version.\n      const prunedNode = Object.assign({}, node);\n      prunedNode.inputs = prunedInputs;\n      prunedNode.outputs = node.outputs;\n\n      filteredTape.push(prunedNode);\n    }\n  }\n\n  return filteredTape;\n}\n\n/**\n * Backpropagate gradients through the filtered TapeNodes.\n *\n * @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map\n * is mutated by this method.\n * @param filteredTape The filtered TapeNodes to backprop through.\n */\nexport function backpropagateGradients(\n    tensorAccumulatedGradientMap: {[tensorId: number]: Tensor},\n    filteredTape: TapeNode[], tidy: (f: Function) => Tensor) {\n  // Walk the tape backward and keep a map of Tensor to its gradient.\n  for (let i = filteredTape.length - 1; i >= 0; i--) {\n    const node = filteredTape[i];\n\n    const dys: Tensor[] = [];\n    node.outputs.forEach(o => {\n      const gradTensor = tensorAccumulatedGradientMap[o.id];\n      if (gradTensor != null) {\n        dys.push(gradTensor);\n      } else {\n        // This particular output is not in the back-propagation subgraph, so it\n        // does not affect the final output, thus we put null for its dy.\n        dys.push(null);\n      }\n    });\n\n    if (node.gradient == null) {\n      throw new Error(\n          `Cannot compute gradient: gradient function not found ` +\n          `for ${node.kernelName}.`);\n    }\n\n    // Backprop dy through this node and accumulate gradients over the inputs.\n    const inputGradients = node.gradient(dys);\n\n    for (const inputName in node.inputs) {\n      if (!(inputName in inputGradients)) {\n        throw new Error(\n            `Cannot backprop through input ${inputName}. ` +\n            `Available gradients found: ${Object.keys(inputGradients)}.`);\n      }\n\n      // Call the gradient function.\n      const dx = tidy(() => inputGradients[inputName]());\n      if (dx.dtype !== 'float32') {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `${inputName} must have 'float32' dtype, but has '${dx.dtype}'`);\n      }\n      const x = node.inputs[inputName];\n      if (!util.arraysEqual(dx.shape, x.shape)) {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `'${inputName}' has shape '${dx.shape}', which does not match ` +\n            `the shape of the input '${x.shape}'`);\n      }\n\n      if (tensorAccumulatedGradientMap[x.id] == null) {\n        tensorAccumulatedGradientMap[x.id] = dx;\n      } else {\n        const curGradient = tensorAccumulatedGradientMap[x.id];\n        tensorAccumulatedGradientMap[x.id] = curGradient.add(dx);\n        curGradient.dispose();\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function isMobile(): boolean {\n  // tslint:disable-next-line:no-any\n  const a = navigator.userAgent || navigator.vendor || (window as any).opera;\n  // tslint:disable-next-line:max-line-length\n  return /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i\n             .test(a) ||\n      // tslint:disable-next-line:max-line-length\n      /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i\n          .test(a.substr(0, 4));\n}\n\nexport function isBrowser(): boolean {\n  return (typeof window !== 'undefined' && window.document != null) ||\n      //@ts-ignore\n      (typeof WorkerGlobalScope !== 'undefined');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport * as device_util from './device_util';\nimport {env} from './environment';\n\nconst ENV = env();\n\n/**\n * This file contains environment-related flag registrations.\n */\n\n/** Whether to enable debug mode. */\nENV.registerFlag('DEBUG', () => false, debugValue => {\n  if (debugValue) {\n    console.warn(\n        'Debugging mode is ON. The output of every math call will ' +\n        'be downloaded to CPU and checked for NaNs. ' +\n        'This significantly impacts performance.');\n  }\n});\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_BROWSER', () => device_util.isBrowser());\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag(\n    'IS_NODE',\n    () => (typeof process !== 'undefined') &&\n        (typeof process.versions !== 'undefined') &&\n        (typeof process.versions.node !== 'undefined'));\n\n/** Whether this browser is Chrome. */\nENV.registerFlag(\n    'IS_CHROME',\n    () => typeof navigator !== 'undefined' && navigator != null &&\n        navigator.userAgent != null && /Chrome/.test(navigator.userAgent) &&\n        /Google Inc/.test(navigator.vendor));\n\n/**\n * True when the environment is \"production\" where we disable safety checks\n * to gain performance.\n */\nENV.registerFlag('PROD', () => false);\n\n/**\n * Whether to do sanity checks when inferring a shape from user-provided\n * values, used when creating a new tensor.\n */\nENV.registerFlag(\n    'TENSORLIKE_CHECK_SHAPE_CONSISTENCY', () => ENV.getBool('DEBUG'));\n\n/** Whether deprecation warnings are enabled. */\nENV.registerFlag('DEPRECATION_WARNINGS_ENABLED', () => true);\n\n/** True if running unit tests. */\nENV.registerFlag('IS_TEST', () => false);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst contexts: {[key: string]: WebGLRenderingContext} = {};\n\nconst WEBGL_ATTRIBUTES: WebGLContextAttributes = {\n  alpha: false,\n  antialias: false,\n  premultipliedAlpha: false,\n  preserveDrawingBuffer: false,\n  depth: false,\n  stencil: false,\n  failIfMajorPerformanceCaveat: true\n};\n\nexport function setWebGLContext(\n    webGLVersion: number, gl: WebGLRenderingContext) {\n  contexts[webGLVersion] = gl;\n}\n\nexport function getWebGLContext(webGLVersion: number): WebGLRenderingContext {\n  if (!(webGLVersion in contexts)) {\n    contexts[webGLVersion] = getWebGLRenderingContext(webGLVersion);\n  }\n  const gl = contexts[webGLVersion];\n  if (gl.isContextLost()) {\n    delete contexts[webGLVersion];\n    return getWebGLContext(webGLVersion);\n  }\n\n  gl.disable(gl.DEPTH_TEST);\n  gl.disable(gl.STENCIL_TEST);\n  gl.disable(gl.BLEND);\n  gl.disable(gl.DITHER);\n  gl.disable(gl.POLYGON_OFFSET_FILL);\n  gl.disable(gl.SAMPLE_COVERAGE);\n  gl.enable(gl.SCISSOR_TEST);\n  gl.enable(gl.CULL_FACE);\n  gl.cullFace(gl.BACK);\n\n  return contexts[webGLVersion];\n}\n\nfunction createCanvas(webGLVersion: number) {\n  if (typeof OffscreenCanvas !== 'undefined' && webGLVersion === 2) {\n    return new OffscreenCanvas(300, 150);\n  } else if (typeof document !== 'undefined') {\n    return document.createElement('canvas');\n  } else {\n    throw new Error('Cannot create a canvas in this context');\n  }\n}\n\nfunction getWebGLRenderingContext(webGLVersion: number): WebGLRenderingContext {\n  if (webGLVersion !== 1 && webGLVersion !== 2) {\n    throw new Error('Cannot get WebGL rendering context, WebGL is disabled.');\n  }\n  const canvas = createCanvas(webGLVersion);\n\n  canvas.addEventListener('webglcontextlost', (ev: Event) => {\n    ev.preventDefault();\n    delete contexts[webGLVersion];\n  }, false);\n  if (webGLVersion === 1) {\n    return (canvas.getContext('webgl', WEBGL_ATTRIBUTES) ||\n            canvas.getContext('experimental-webgl', WEBGL_ATTRIBUTES)) as\n        WebGLRenderingContext;\n  }\n  return canvas.getContext('webgl2', WEBGL_ATTRIBUTES) as WebGLRenderingContext;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {DataId, Tensor} from '../../tensor';\nimport {BackendValues, DataType} from '../../types';\nimport * as util from '../../util';\n\nexport enum PackingScheme {\n  /**\n   * All values in a single texel are densely packed without any constraints.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 4]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   010|011   020|021\n   * -------   -------   -------\n   * 002|003   012|013   022|023\n   *\n   * 100|101   110|111   120|121\n   * -------   -------   -------\n   * 102|103   112|113   122|123\n   *\n   */\n  DENSE,\n\n  /**\n   * Single texels contain only values from the same batch, and from adjacent\n   * rows and columns.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 5]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   002|003   004|xxx   020|021   022|023   024|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   * 100|101   102|103   104|xxx   120|121   122|123   124|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   */\n  SHARED_BATCH\n}\n\nexport enum TextureUsage {\n  RENDER,\n  UPLOAD,\n  PIXELS,\n  DOWNLOAD\n}\n\nexport enum PhysicalTextureType {\n  UNPACKED_FLOAT16,\n  UNPACKED_FLOAT32,\n  PACKED_4X1_UNSIGNED_BYTE,\n  PACKED_2X2_FLOAT32,\n  PACKED_2X2_FLOAT16\n}\n\nexport interface TextureData {\n  // Required.\n  shape: number[];\n  dtype: DataType;\n\n  // Optional.\n  values?: BackendValues;\n  texture?: WebGLTexture;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field. When this is defined, texture will be null.\n  complexTensors?: {real: Tensor, imag: Tensor};\n  /** [rows, columns] shape of the texture. */\n  texShape?: [number, number];\n  usage?: TextureUsage;\n  isPacked?: boolean;\n\n  // Available when the tensor has been sliced.\n  slice?: {\n    // Offset in the 'flat index' space.\n    flatOffset: number;\n    // Used for counting how many sliced tensors point to the same texture.\n    origDataId: DataId;\n  };\n}\n\nexport function getUnpackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns, rows];\n}\n\nexport function getUnpackedArraySizeFromMatrixSize(\n    matrixSize: number, channelsPerTexture: number): number {\n  return matrixSize * channelsPerTexture;\n}\n\nexport function getColorMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns * 4, rows];\n}\n\n/**\n * Get shape for densely packed RGBA texture.\n */\nexport function getDenseTexShape(shape: number[]): [number, number] {\n  const size = util.sizeFromShape(shape);\n  const texelsNeeded = Math.ceil(size / 4);\n  return util.sizeToSquarishShape(texelsNeeded);\n}\n\nexport function getMatrixSizeFromUnpackedArraySize(\n    unpackedSize: number, channelsPerTexture: number): number {\n  if (unpackedSize % channelsPerTexture !== 0) {\n    throw new Error(\n        `unpackedSize (${unpackedSize}) must be a multiple of ` +\n        `${channelsPerTexture}`);\n  }\n  return unpackedSize / channelsPerTexture;\n}\n\nexport function decodeMatrixFromUnpackedColorRGBAArray(\n    unpackedArray: Float32Array, matrix: Float32Array, channels: number) {\n  const requiredSize = unpackedArray.length * channels / 4;\n  if (matrix.length < requiredSize) {\n    throw new Error(\n        `matrix length (${matrix.length}) must be >= ${requiredSize}`);\n  }\n  let dst = 0;\n  for (let src = 0; src < unpackedArray.length; src += 4) {\n    for (let c = 0; c < channels; c++) {\n      matrix[dst++] = unpackedArray[src + c];\n    }\n  }\n}\n\nexport function getPackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [\n    Math.max(1, Math.ceil(columns / 2)), Math.max(1, Math.ceil(rows / 2))\n  ];\n}\n\nexport function getPackedRGBAArraySizeFromMatrixShape(\n    rows: number, columns: number): number {\n  const [w, h] = getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return w * h * 4;\n}\n\nexport interface TextureConfig {\n  internalFormatFloat: number;\n  textureFormatFloat: number;\n  internalFormatPackedHalfFloat: number;\n  internalFormatHalfFloat: number;\n  internalFormatPackedFloat: number;\n\n  // The format to use during a gl.readPixels call.\n  downloadTextureFormat: number;\n  // How many channels need to be unpacked after a gl.readPixels call.\n  downloadUnpackNumChannels: number;\n\n  defaultNumChannels: number;\n  textureTypeHalfFloat: number;\n  textureTypeFloat: number;\n}\n\nexport function getTextureConfig(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension?: any): TextureConfig {\n  // tslint:disable-next-line:no-any\n  const glany = gl as any;\n\n  let internalFormatFloat: number;\n  let internalFormatHalfFloat: number;\n  let internalFormatPackedHalfFloat: number;\n  let internalFormatPackedFloat: number;\n  let textureFormatFloat: number;\n\n  let downloadTextureFormat: number;\n  let downloadUnpackNumChannels: number;\n\n  let defaultNumChannels: number;\n  let textureTypeHalfFloat: number;\n  let textureTypeFloat: number;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    internalFormatFloat = glany.R32F;\n    internalFormatHalfFloat = glany.R16F;\n    internalFormatPackedHalfFloat = glany.RGBA16F;\n    internalFormatPackedFloat = glany.RGBA32F;\n    textureFormatFloat = glany.RED;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 1;\n    textureTypeHalfFloat = glany.HALF_FLOAT;\n    textureTypeFloat = glany.FLOAT;\n  } else {\n    internalFormatFloat = gl.RGBA;\n    internalFormatHalfFloat = gl.RGBA;\n    internalFormatPackedHalfFloat = gl.RGBA;\n    internalFormatPackedFloat = glany.RGBA;\n    textureFormatFloat = gl.RGBA;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 4;\n    textureTypeHalfFloat = textureHalfFloatExtension != null ?\n        textureHalfFloatExtension.HALF_FLOAT_OES :\n        null;\n    textureTypeFloat = gl.FLOAT;\n  }\n  downloadTextureFormat = gl.RGBA;\n\n  return {\n    internalFormatFloat,\n    internalFormatHalfFloat,\n    internalFormatPackedHalfFloat,\n    internalFormatPackedFloat,\n    textureFormatFloat,\n    downloadTextureFormat,\n    downloadUnpackNumChannels,\n    defaultNumChannels,\n    textureTypeHalfFloat,\n    textureTypeFloat\n  };\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport * as util from '../../util';\n\nimport {getWebGLContext} from './canvas_util';\nimport {getTextureConfig} from './tex_util';\n\nexport function callAndCheck<T>(\n    gl: WebGLRenderingContext, debugMode: boolean, func: () => T): T {\n  const returnValue = func();\n  if (debugMode) {\n    checkWebGLError(gl);\n  }\n  return returnValue;\n}\n\nfunction checkWebGLError(gl: WebGLRenderingContext) {\n  const error = gl.getError();\n  if (error !== gl.NO_ERROR) {\n    throw new Error('WebGL Error: ' + getWebGLErrorMessage(gl, error));\n  }\n}\n\n// https://en.wikipedia.org/wiki/Half-precision_floating-point_format\nconst MIN_FLOAT16 = 5.96e-8;\nconst MAX_FLOAT16 = 65504;\n\nexport function canBeRepresented(num: number): boolean {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED') || num === 0 ||\n      (MIN_FLOAT16 < Math.abs(num) && Math.abs(num) < MAX_FLOAT16)) {\n    return true;\n  }\n  return false;\n}\n\nexport function getWebGLErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.NO_ERROR:\n      return 'NO_ERROR';\n    case gl.INVALID_ENUM:\n      return 'INVALID_ENUM';\n    case gl.INVALID_VALUE:\n      return 'INVALID_VALUE';\n    case gl.INVALID_OPERATION:\n      return 'INVALID_OPERATION';\n    case gl.INVALID_FRAMEBUFFER_OPERATION:\n      return 'INVALID_FRAMEBUFFER_OPERATION';\n    case gl.OUT_OF_MEMORY:\n      return 'OUT_OF_MEMORY';\n    case gl.CONTEXT_LOST_WEBGL:\n      return 'CONTEXT_LOST_WEBGL';\n    default:\n      return `Unknown error code ${status}`;\n  }\n}\n\nexport function getExtensionOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, extensionName: string): {} {\n  return throwIfNull<{}>(\n      gl, debug, () => gl.getExtension(extensionName),\n      'Extension \"' + extensionName + '\" not supported on this browser.');\n}\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    vertexShaderSource: string): WebGLShader {\n  const vertexShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.VERTEX_SHADER),\n      'Unable to create vertex WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(vertexShader, vertexShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(vertexShader));\n  if (gl.getShaderParameter(vertexShader, gl.COMPILE_STATUS) === false) {\n    console.log(gl.getShaderInfoLog(vertexShader));\n    throw new Error('Failed to compile vertex shader.');\n  }\n  return vertexShader;\n}\n\nexport function createFragmentShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    fragmentShaderSource: string): WebGLShader {\n  const fragmentShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.FRAGMENT_SHADER),\n      'Unable to create fragment WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(fragmentShader, fragmentShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(fragmentShader));\n  if (gl.getShaderParameter(fragmentShader, gl.COMPILE_STATUS) === false) {\n    logShaderSourceAndInfoLog(\n        fragmentShaderSource, gl.getShaderInfoLog(fragmentShader));\n    throw new Error('Failed to compile fragment shader.');\n  }\n  return fragmentShader;\n}\n\nconst lineNumberRegex = /ERROR: [0-9]+:([0-9]+):/g;\nfunction logShaderSourceAndInfoLog(\n    shaderSource: string, shaderInfoLog: string) {\n  const lineNumberRegexResult = lineNumberRegex.exec(shaderInfoLog);\n  if (lineNumberRegexResult == null) {\n    console.log(`Couldn't parse line number in error: ${shaderInfoLog}`);\n    console.log(shaderSource);\n    return;\n  }\n\n  const lineNumber = +lineNumberRegexResult[1];\n\n  const shaderLines = shaderSource.split('\\n');\n  const pad = shaderLines.length.toString().length + 2;\n  const linesWithLineNumbers = shaderLines.map(\n      (line, lineNumber) =>\n          util.rightPad((lineNumber + 1).toString(), pad) + line);\n  let maxLineLength = 0;\n  for (let i = 0; i < linesWithLineNumbers.length; i++) {\n    maxLineLength = Math.max(linesWithLineNumbers[i].length, maxLineLength);\n  }\n\n  const beforeErrorLines = linesWithLineNumbers.slice(0, lineNumber - 1);\n  const errorLine = linesWithLineNumbers.slice(lineNumber - 1, lineNumber);\n  const afterErrorLines = linesWithLineNumbers.slice(lineNumber);\n\n  console.log(beforeErrorLines.join('\\n'));\n  console.log(shaderInfoLog.split('\\n')[0]);\n  console.log(\n      `%c ${util.rightPad(errorLine[0], maxLineLength)}`,\n      'border:1px solid red; background-color:#e3d2d2; color:#a61717');\n  console.log(afterErrorLines.join('\\n'));\n}\n\nexport function createProgram(\n    gl: WebGLRenderingContext, debug: boolean): WebGLProgram {\n  return throwIfNull<WebGLProgram>(\n      gl, debug, () => gl.createProgram(), 'Unable to create WebGLProgram.');\n}\n\nexport function linkProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.linkProgram(program));\n  if (gl.getProgramParameter(program, gl.LINK_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Failed to link vertex and fragment shaders.');\n  }\n}\n\nexport function validateProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.validateProgram(program));\n  if (gl.getProgramParameter(program, gl.VALIDATE_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Shader program validation failed.');\n  }\n}\n\nexport function createStaticVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean,\n    data: Float32Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug, () => gl.bufferData(gl.ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function createStaticIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean, data: Uint16Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.bufferData(gl.ELEMENT_ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function getNumChannels(): number {\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    return 1;\n  }\n  return 4;\n}\n\nexport function createTexture(\n    gl: WebGLRenderingContext, debug: boolean): WebGLTexture {\n  return throwIfNull<WebGLTexture>(\n      gl, debug, () => gl.createTexture(), 'Unable to create WebGLTexture.');\n}\n\nexport function validateTextureSize(width: number, height: number) {\n  const maxTextureSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if ((width <= 0) || (height <= 0)) {\n    const requested = `[${width}x${height}]`;\n    throw new Error('Requested texture size ' + requested + ' is invalid.');\n  }\n  if ((width > maxTextureSize) || (height > maxTextureSize)) {\n    const requested = `[${width}x${height}]`;\n    const max = `[${maxTextureSize}x${maxTextureSize}]`;\n    throw new Error(\n        'Requested texture size ' + requested +\n        ' greater than WebGL maximum on this browser / GPU ' + max + '.');\n  }\n}\n\nexport function createFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLFramebuffer {\n  return throwIfNull<WebGLFramebuffer>(\n      gl, debug, () => gl.createFramebuffer(),\n      'Unable to create WebGLFramebuffer.');\n}\n\nexport function bindVertexBufferToProgramAttribute(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    attribute: string, buffer: WebGLBuffer, arrayEntriesPerItem: number,\n    itemStrideInBytes: number, itemOffsetInBytes: number): boolean {\n  const loc = gl.getAttribLocation(program, attribute);\n  if (loc === -1) {\n    // The GPU compiler decided to strip out this attribute because it's unused,\n    // thus no need to bind.\n    return false;\n  }\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.vertexAttribPointer(\n          loc, arrayEntriesPerItem, gl.FLOAT, false, itemStrideInBytes,\n          itemOffsetInBytes));\n  callAndCheck(gl, debug, () => gl.enableVertexAttribArray(loc));\n  return true;\n}\n\nexport function bindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n}\n\nexport function unbindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function getProgramUniformLocationOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return throwIfNull<WebGLUniformLocation>(\n      gl, debug, () => gl.getUniformLocation(program, uniformName),\n      'uniform \"' + uniformName + '\" not present in program.');\n}\n\nexport function getProgramUniformLocation(\n    gl: WebGLRenderingContext, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return gl.getUniformLocation(program, uniformName);\n}\n\nexport function bindTextureToProgramUniformSampler(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    texture: WebGLTexture, uniformSamplerLocation: WebGLUniformLocation,\n    textureUnit: number) {\n  callAndCheck(\n      gl, debug, () => bindTextureUnit(gl, debug, texture, textureUnit));\n  callAndCheck(\n      gl, debug, () => gl.uniform1i(uniformSamplerLocation, textureUnit));\n}\n\nexport function bindCanvasToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean) {\n  callAndCheck(gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n  callAndCheck(\n      gl, debug, () => gl.viewport(0, 0, gl.canvas.width, gl.canvas.height));\n  callAndCheck(\n      gl, debug, () => gl.scissor(0, 0, gl.canvas.width, gl.canvas.height));\n}\n\nexport function bindColorTextureToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0));\n}\n\nexport function unbindColorTextureFromFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, null, 0));\n}\n\nexport function validateFramebuffer(gl: WebGLRenderingContext) {\n  const status = gl.checkFramebufferStatus(gl.FRAMEBUFFER);\n  if (status !== gl.FRAMEBUFFER_COMPLETE) {\n    throw new Error(\n        'Error binding framebuffer: ' + getFramebufferErrorMessage(gl, status));\n  }\n}\n\nexport function getFramebufferErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:\n      return 'FRAMEBUFFER_INCOMPLETE_DIMENSIONS';\n    case gl.FRAMEBUFFER_UNSUPPORTED:\n      return 'FRAMEBUFFER_UNSUPPORTED';\n    default:\n      return `unknown error ${status}`;\n  }\n}\n\nfunction throwIfNull<T>(\n    gl: WebGLRenderingContext, debug: boolean, returnTOrNull: () => T | null,\n    failureMessage: string): T {\n  const tOrNull: T|null = callAndCheck(gl, debug, () => returnTOrNull());\n  if (tOrNull == null) {\n    throw new Error(failureMessage);\n  }\n  return tOrNull;\n}\n\nfunction validateTextureUnit(gl: WebGLRenderingContext, textureUnit: number) {\n  const maxTextureUnit = gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS - 1;\n  const glTextureUnit = textureUnit + gl.TEXTURE0;\n  if (glTextureUnit < gl.TEXTURE0 || glTextureUnit > maxTextureUnit) {\n    const textureUnitRange = `[gl.TEXTURE0, gl.TEXTURE${maxTextureUnit}]`;\n    throw new Error(`textureUnit must be in ${textureUnitRange}.`);\n  }\n}\n\nexport function getBatchDim(shape: number[], dimsToSkip = 2): number {\n  return util.sizeFromShape(shape.slice(0, shape.length - dimsToSkip));\n}\n\nexport function getRowsCols(shape: number[]): [number, number] {\n  if (shape.length === 0) {\n    throw Error('Cannot get rows and columns of an empty shape array.');\n  }\n\n  return [\n    shape.length > 1 ? shape[shape.length - 2] : 1, shape[shape.length - 1]\n  ];\n}\n\nexport function getShapeAs3D(shape: number[]): [number, number, number] {\n  let shapeAs3D: [number, number, number] = [1, 1, 1];\n  const isScalar = shape.length === 0 || (shape.length === 1 && shape[0] === 1);\n  if (!isScalar) {\n    shapeAs3D =\n        [getBatchDim(shape), ...getRowsCols(shape)] as [number, number, number];\n  }\n  return shapeAs3D;\n}\n\nexport function getTextureShapeFromLogicalShape(\n    logShape: number[], isPacked = false): [number, number] {\n  let maxTexSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if (isPacked) {\n    maxTexSize = maxTexSize * 2;\n\n    // This logic ensures we accurately count the number of packed texels needed\n    // to accommodate the tensor. We can only pack values in the same texel if\n    // they are from adjacent pairs of rows/cols within the same batch. So if a\n    // tensor has 3 rows, we pretend it has 4 rows in order to account for the\n    // fact that the texels containing the third row are half empty.\n    logShape = logShape.map(\n        (d, i) => i >= logShape.length - 2 ?\n            util.nearestLargerEven(logShape[i]) :\n            logShape[i]);\n\n    // Packed texture height is at least 2 (the channel height of a single\n    // texel).\n    if (logShape.length === 1) {\n      logShape = [2, logShape[0]];\n    }\n  }\n\n  // If logical shape is 2, we don't squeeze, since we want to match physical.\n  if (logShape.length !== 2) {\n    const squeezeResult = util.squeezeShape(logShape);\n    logShape = squeezeResult.newShape;\n  }\n\n  let size = util.sizeFromShape(logShape);\n  if (logShape.length <= 1 && size <= maxTexSize) {\n    return [1, size];\n  } else if (\n      logShape.length === 2 && logShape[0] <= maxTexSize &&\n      logShape[1] <= maxTexSize) {\n    return logShape as [number, number];\n  } else if (\n      logShape.length === 3 && logShape[0] * logShape[1] <= maxTexSize &&\n      logShape[2] <= maxTexSize) {\n    return [logShape[0] * logShape[1], logShape[2]];\n  } else if (\n      logShape.length === 3 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2]];\n  } else if (\n      logShape.length === 4 &&\n      logShape[0] * logShape[1] * logShape[2] <= maxTexSize &&\n      logShape[3] <= maxTexSize) {\n    return [logShape[0] * logShape[1] * logShape[2], logShape[3]];\n  } else if (\n      logShape.length === 4 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] * logShape[3] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2] * logShape[3]];\n  } else {\n    if (isPacked) {\n      // For packed textures size equals the number of channels required to\n      // accommodate the texture data. However in order to squarify such that\n      // inner dimensions stay even, we rewrite size to equal the number of\n      // texels. Then in the return statement we rehydrate the squarified\n      // dimensions to channel units.\n\n      const batchDim = getBatchDim(logShape);\n      let rows = 2, cols = 2;\n      if (logShape.length) {\n        [rows, cols] = getRowsCols(logShape);\n      }\n      size = batchDim * (rows / 2) * (cols / 2);\n      return util.sizeToSquarishShape(size).map(d => d * 2) as [number, number];\n    }\n    return util.sizeToSquarishShape(size);\n  }\n}\n\nfunction isEven(n: number): boolean {\n  return n % 2 === 0;\n}\n\n/**\n * This determines whether reshaping a packed texture requires rearranging\n * the data within the texture, assuming 2x2 packing.\n */\nexport function isReshapeFree(shape1: number[], shape2: number[]): boolean {\n  shape1 = shape1.slice(-2);\n  shape2 = shape2.slice(-2);\n\n  if (util.arraysEqual(shape1, shape2)) {\n    return true;\n  }\n\n  if (!shape1.length || !shape2.length) {  // One of the shapes is a scalar.\n    return true;\n  }\n\n  if (shape1[0] === 0 || shape1[1] === 0 || shape2[0] === 0 ||\n      shape2[1] === 0) {\n    return true;\n  }\n\n  if (shape1.length !== shape2.length) {  // One of the shapes is a vector.\n    const shape1Cols = shape1.slice(-1)[0];\n    const shape2Cols = shape2.slice(-1)[0];\n    if (shape1Cols === shape2Cols) {\n      return true;\n    }\n\n    if (isEven(shape1Cols) && isEven(shape2Cols) &&\n        (shape1[0] === 1 || shape2[0] === 1)) {\n      return true;\n    }\n  }\n  return shape1[1] === shape2[1] && isEven(shape1[0]) && isEven(shape2[0]);\n}\n\n// We cache webgl params because the environment gets reset between\n// unit tests and we don't want to constantly query the WebGLContext for\n// MAX_TEXTURE_SIZE.\nlet MAX_TEXTURE_SIZE: number;\nlet MAX_TEXTURES_IN_SHADER: number;\n\nexport function getWebGLMaxTextureSize(webGLVersion: number): number {\n  if (MAX_TEXTURE_SIZE == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURE_SIZE = gl.getParameter(gl.MAX_TEXTURE_SIZE);\n  }\n  return MAX_TEXTURE_SIZE;\n}\n\nexport function resetMaxTextureSize() {\n  MAX_TEXTURE_SIZE = null;\n}\nexport function resetMaxTexturesInShader() {\n  MAX_TEXTURES_IN_SHADER = null;\n}\n\nexport function getMaxTexturesInShader(webGLVersion: number): number {\n  if (MAX_TEXTURES_IN_SHADER == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURES_IN_SHADER = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS);\n  }\n  // We cap at 16 to avoid spurious runtime \"memory exhausted\" error.\n  return Math.min(16, MAX_TEXTURES_IN_SHADER);\n}\n\nexport function getWebGLDisjointQueryTimerVersion(webGLVersion: number):\n    number {\n  if (webGLVersion === 0) {\n    return 0;\n  }\n\n  let queryTimerVersion: number;\n  const gl = getWebGLContext(webGLVersion);\n\n  if (hasExtension(gl, 'EXT_disjoint_timer_query_webgl2') &&\n      webGLVersion === 2) {\n    queryTimerVersion = 2;\n  } else if (hasExtension(gl, 'EXT_disjoint_timer_query')) {\n    queryTimerVersion = 1;\n  } else {\n    queryTimerVersion = 0;\n  }\n  return queryTimerVersion;\n}\n\nexport function hasExtension(gl: WebGLRenderingContext, extensionName: string) {\n  const ext = gl.getExtension(extensionName);\n  return ext != null;\n}\n\nexport function isWebGLVersionEnabled(webGLVersion: 1|2) {\n  try {\n    const gl = getWebGLContext(webGLVersion);\n    if (gl != null) {\n      return true;\n    }\n  } catch (e) {\n    return false;\n  }\n  return false;\n}\n\nexport function isCapableOfRenderingToFloatTexture(webGLVersion: number):\n    boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n  } else {\n    if (!hasExtension(gl, 'EXT_color_buffer_float')) {\n      return false;\n    }\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\n/**\n * Check if we can download values from a float/half-float texture.\n *\n * Note that for performance reasons we use binding a texture to a framebuffer\n * as a proxy for ability to download float values later using readPixels. The\n * texture params of this texture will not match those in readPixels exactly\n * but if we are unable to bind some kind of float texture to the frameBuffer\n * then we definitely will not be able to read float values from it.\n */\nexport function isDownloadFloatTextureEnabled(webGLVersion: number): boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n    if (!hasExtension(gl, 'WEBGL_color_buffer_float')) {\n      return false;\n    }\n  } else {\n    if (hasExtension(gl, 'EXT_color_buffer_float')) {\n      return createFloatTextureAndBindToFramebuffer(gl);\n    }\n\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (hasExtension(gl, COLOR_BUFFER_HALF_FLOAT)) {\n      const textureHalfFloatExtension =\n          gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      return createHalfFloatTextureAndBindToFramebuffer(\n          gl, textureHalfFloatExtension);\n    }\n\n    return false;\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\nfunction createFloatTextureAndBindToFramebuffer(gl: WebGLRenderingContext):\n    boolean {\n  const texConfig = getTextureConfig(gl);\n\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nfunction createHalfFloatTextureAndBindToFramebuffer(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension: any): boolean {\n  const texConfig = getTextureConfig(gl, textureHalfFloatExtension);\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatHalfFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeHalfFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nexport function isWebGLFenceEnabled(webGLVersion: number) {\n  if (webGLVersion !== 2) {\n    return false;\n  }\n  const gl = getWebGLContext(webGLVersion);\n\n  // tslint:disable-next-line:no-any\n  const isEnabled = (gl as any).fenceSync != null;\n  return isEnabled;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as device_util from '../../device_util';\nimport {env} from '../../environment';\n\nimport * as webgl_util from './webgl_util';\n\nconst ENV = env();\n\n/**\n * This file contains WebGL-specific flag registrations.\n */\n\n/**\n * True if WebGL is supported.\n */\nENV.registerFlag('HAS_WEBGL', () => ENV.getNumber('WEBGL_VERSION') > 0);\n\n/** 0: No WebGL, 1: WebGL 1.0, 2: WebGL 2.0. */\nENV.registerFlag('WEBGL_VERSION', () => {\n  if (webgl_util.isWebGLVersionEnabled(2)) {\n    return 2;\n  } else if (webgl_util.isWebGLVersionEnabled(1)) {\n    return 1;\n  }\n  return 0;\n});\n\nENV.registerFlag(\n    'WEBGL_BUFFER_SUPPORTED', () => ENV.get('WEBGL_VERSION') === 2);\n\n/** Whether the WebGL backend will sometimes forward ops to the CPU. */\nENV.registerFlag('WEBGL_CPU_FORWARD', () => true);\n\n/** Whether the WebGL backend will always use f16 textures for rendering. */\nENV.registerFlag('WEBGL_FORCE_F16_TEXTURES', () => false);\n\n/** Whether to turn all packing related flags on. */\nENV.registerFlag('WEBGL_PACK', () => ENV.getBool('HAS_WEBGL'));\n\n/** Whether we will pack the batchnormalization op. */\nENV.registerFlag('WEBGL_PACK_NORMALIZATION', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the clip op. */\nENV.registerFlag('WEBGL_PACK_CLIP', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the depthwise conv op. */\n// TODO: https://github.com/tensorflow/tfjs/issues/1679\nENV.registerFlag('WEBGL_PACK_DEPTHWISECONV', () => false);\n\n/** Whether we will pack binary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_BINARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack unary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_UNARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack array ops. */\nENV.registerFlag(\n    'WEBGL_PACK_ARRAY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack image ops. */\nENV.registerFlag(\n    'WEBGL_PACK_IMAGE_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack reduce ops. */\nENV.registerFlag('WEBGL_PACK_REDUCE', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether packed WebGL kernels lazily unpack their outputs. */\nENV.registerFlag('WEBGL_LAZILY_UNPACK', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will use the im2col algorithm to speed up convolutions. */\nENV.registerFlag('WEBGL_CONV_IM2COL', () => ENV.getBool('WEBGL_PACK'));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURE_SIZE',\n    () => webgl_util.getWebGLMaxTextureSize(ENV.getNumber('WEBGL_VERSION')));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURES_IN_SHADER',\n    () => webgl_util.getMaxTexturesInShader(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * The disjoint_query_timer extension version.\n * 0: disabled, 1: EXT_disjoint_timer_query, 2:\n * EXT_disjoint_timer_query_webgl2.\n * In Firefox with WebGL 2.0,\n * EXT_disjoint_timer_query_webgl2 is not available, so we must use the\n * WebGL 1.0 extension.\n */\nENV.registerFlag('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION', () => {\n  const webGLVersion = ENV.getNumber('WEBGL_VERSION');\n\n  if (webGLVersion === 0) {\n    return 0;\n  }\n  return webgl_util.getWebGLDisjointQueryTimerVersion(webGLVersion);\n});\n\n/**\n * Whether the timer object from the disjoint_query_timer extension gives\n * timing information that is reliable.\n */\nENV.registerFlag(\n    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE',\n    () => ENV.getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0 &&\n        !device_util.isMobile());\n\n/**\n * Whether the device is physically capable of rendering to float32 textures.\n */\nENV.registerFlag(\n    'WEBGL_RENDER_FLOAT32_CAPABLE',\n    () => webgl_util.isCapableOfRenderingToFloatTexture(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Whether rendering to float32 textures is enabled. If disabled, renders to\n * float16 textures.\n */\nENV.registerFlag('WEBGL_RENDER_FLOAT32_ENABLED', () => {\n  return ENV.getBool('WEBGL_FORCE_F16_TEXTURES') ?\n      false :\n      ENV.getBool('WEBGL_RENDER_FLOAT32_CAPABLE');\n});\n\n/**\n * Whether downloading float textures is enabled (16 or 32 bit). If disabled,\n * uses IEEE 754 encoding of the float32 values to 4 uint8 when downloading.\n */\nENV.registerFlag(\n    'WEBGL_DOWNLOAD_FLOAT_ENABLED',\n    () => webgl_util.isDownloadFloatTextureEnabled(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/** Whether the fence API is available. */\nENV.registerFlag(\n    'WEBGL_FENCE_API_ENABLED',\n    () => webgl_util.isWebGLFenceEnabled(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Tensors with size <= than this will be uploaded as uniforms, not textures.\n */\nENV.registerFlag('WEBGL_SIZE_UPLOAD_UNIFORM', () => {\n  // Use uniform uploads only when 32bit floats are supported. In\n  // 16bit\n  // environments there are problems with comparing a 16bit texture value\n  // with a 32bit uniform value.\n  const useUniforms = ENV.getBool('WEBGL_RENDER_FLOAT32_ENABLED');\n  return useUniforms ? 4 : 0;\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from './backends/backend';\nimport {ENGINE, Engine, MemoryInfo, ProfileInfo, ScopeFn, TimingInfo} from './engine';\nimport {env} from './environment';\n\nimport {Platform} from './platforms/platform';\nimport {setDeprecationWarningFn, Tensor} from './tensor';\nimport {TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\n\n/**\n * Enables production mode which disables correctness checks in favor of\n * performance.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableProdMode(): void {\n  env().set('PROD', true);\n}\n\n/**\n * Enables debug mode which will log information about all executed kernels:\n * the elapsed time of the kernel execution, as well as the rank, shape, and\n * size of the output tensor.\n *\n * Debug mode will significantly slow down your application as it will\n * download the result of every operation to the CPU. This should not be used in\n * production. Debug mode does not affect the timing information of the kernel\n * execution as we do not measure download time in the kernel execution time.\n *\n * See also: `tf.profile`, `tf.memory`.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableDebugMode(): void {\n  env().set('DEBUG', true);\n}\n\n/** Globally disables deprecation warnings */\nexport function disableDeprecationWarnings(): void {\n  env().set('DEPRECATION_WARNINGS_ENABLED', false);\n  console.warn(`TensorFlow.js deprecation warnings have been disabled.`);\n}\n\n/** Warn users about deprecated functionality. */\nexport function deprecationWarn(msg: string) {\n  if (env().getBool('DEPRECATION_WARNINGS_ENABLED')) {\n    console.warn(\n        msg + ' You can disable deprecation warnings with ' +\n        'tf.disableDeprecationWarnings().');\n  }\n}\nsetDeprecationWarningFn(deprecationWarn);\n\n/**\n * Dispose all variables kept in backend engine.\n */\n/** @doc {heading: 'Environment'} */\nexport function disposeVariables(): void {\n  ENGINE.disposeVariables();\n}\n\n/**\n * It returns the global engine that keeps track of all tensors and backends.\n */\n/** @doc {heading: 'Environment'} */\nexport function engine(): Engine {\n  return ENGINE;\n}\n\n/**\n * Returns memory info at the current time in the program. The result is an\n * object with the following properties:\n *\n * - `numBytes`: Number of bytes allocated (undisposed) at this time.\n * - `numTensors`: Number of unique tensors allocated.\n * - `numDataBuffers`: Number of unique data buffers allocated\n *   (undisposed) at this time, which is ≤ the number of tensors\n *   (e.g. `a.reshape(newShape)` makes a new Tensor that shares the same\n *   data buffer with `a`).\n * - `unreliable`: True if the memory usage is unreliable. See `reasons` when\n *    `unreliable` is true.\n * - `reasons`: `string[]`, reasons why the memory is unreliable, present if\n *    `unreliable` is true.\n *\n * WebGL Properties:\n * - `numBytesInGPU`: Number of bytes allocated (undisposed) in the GPU only at\n *     this time.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function memory(): MemoryInfo {\n  return ENGINE.memory();\n}\n\n/**\n * Executes the provided function `f()` and returns a promise that resolves\n * with information about the function's memory use:\n * - `newBytes`: the number of new bytes allocated\n * - `newTensors`: the number of new tensors created\n * - `peakBytes`: the peak number of bytes allocated\n * - `kernels`: an array of objects for each kernel involved that reports\n * their input and output shapes, number of bytes used, and number of new\n * tensors created.\n *\n * ```js\n * const profile = await tf.profile(() => {\n *   const x = tf.tensor1d([1, 2, 3]);\n *   let x2 = x.square();\n *   x2.dispose();\n *   x2 = x.square();\n *   x2.dispose();\n *   return x;\n * });\n *\n * console.log(`newBytes: ${profile.newBytes}`);\n * console.log(`newTensors: ${profile.newTensors}`);\n * console.log(`byte usage over all kernels: ${profile.kernels.map(k =>\n * k.totalBytesSnapshot)}`);\n * ```\n *\n */\n/** @doc {heading: 'Performance', subheading: 'Profile'} */\nexport function profile(f: () => TensorContainer): Promise<ProfileInfo> {\n  return ENGINE.profile(f);\n}\n\n/**\n * Executes the provided function `fn` and after it is executed, cleans up all\n * intermediate tensors allocated by `fn` except those returned by `fn`.\n * `fn` must not return a Promise (async functions not allowed). The returned\n * result can be a complex object.\n *\n * Using this method helps avoid memory leaks. In general, wrap calls to\n * operations in `tf.tidy` for automatic memory cleanup.\n *\n * NOTE: Variables do *not* get cleaned up when inside a tidy(). If you want to\n * dispose variables, please use `tf.disposeVariables` or call dispose()\n * directly on variables.\n *\n * ```js\n * // y = 2 ^ 2 + 1\n * const y = tf.tidy(() => {\n *   // a, b, and one will be cleaned up when the tidy ends.\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *   const b = a.square();\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * y.print();\n * ```\n *\n * @param nameOrFn The name of the closure, or the function to execute.\n *     If a name is provided, the 2nd argument should be the function.\n *     If debug mode is on, the timing and the memory usage of the function\n *     will be tracked and displayed on the console using the provided name.\n * @param fn The function to execute.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function tidy<T extends TensorContainer>(\n    nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>): T {\n  return ENGINE.tidy(nameOrFn, fn);\n}\n\n/**\n * Disposes any `tf.Tensor`s found within the provided object.\n *\n * @param container an object that may be a `tf.Tensor` or may directly\n *     contain `tf.Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. If\n *     the object is not a `tf.Tensor` or does not contain `Tensors`, nothing\n *     happens. In general it is safe to pass any object here, except that\n *     `Promise`s are not supported.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function dispose(container: TensorContainer) {\n  const tensors = getTensorsInContainer(container);\n  tensors.forEach(tensor => tensor.dispose());\n}\n\n/**\n * Keeps a `tf.Tensor` generated inside a `tf.tidy` from being disposed\n * automatically.\n *\n * ```js\n * let b;\n * const y = tf.tidy(() => {\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *\n *   // b will not be cleaned up by the tidy. a and one will be cleaned up\n *   // when the tidy ends.\n *   b = tf.keep(a.square());\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * console.log('y:');\n * y.print();\n * console.log('b:');\n * b.print();\n * ```\n *\n * @param result The tensor to keep from being disposed.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function keep<T extends Tensor>(result: T): T {\n  return ENGINE.keep(result);\n}\n\n/**\n * Executes `f()` and returns a promise that resolves with timing\n * information.\n *\n * The result is an object with the following properties:\n *\n * - `wallMs`: Wall execution time.\n * - `kernelMs`: Kernel execution time, ignoring data transfer. If using the\n * WebGL backend and the query timer extension is not available, this will\n * return an error object.\n * - On `WebGL` The following additional properties exist:\n *   - `uploadWaitMs`: CPU blocking time on texture uploads.\n *   - `downloadWaitMs`: CPU blocking time on texture downloads (readPixels).\n *\n * ```js\n * const x = tf.randomNormal([20, 20]);\n * const time = await tf.time(() => x.matMul(x));\n *\n * console.log(`kernelMs: ${time.kernelMs}, wallTimeMs: ${time.wallMs}`);\n * ```\n *\n * @param f The function to execute and time.\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nexport function time(f: () => void): Promise<TimingInfo> {\n  return ENGINE.time(f);\n}\n\n/**\n * Sets the backend (cpu, webgl, wasm, etc) responsible for creating tensors and\n * executing operations on those tensors. Returns a promise that resolves\n * to a boolean if the backend initialization was successful.\n *\n * Note this disposes the current backend, if any, as well as any tensors\n * associated with it. A new backend is initialized, even if it is of the\n * same type as the previous one.\n *\n * @param backendName The name of the backend. Currently supports\n *     `'webgl'|'cpu'` in the browser, `'tensorflow'` under node.js\n *     (requires tfjs-node), and `'wasm'` (requires tfjs-backend-wasm).\n */\n/** @doc {heading: 'Backends'} */\nexport function setBackend(backendName: string): Promise<boolean> {\n  return ENGINE.setBackend(backendName);\n}\n\n/**\n * Returns a promise that resolves when the currently selected backend (or the\n * highest priority one) has initialized. Await this promise when you are using\n * a backend that has async initialization.\n */\n/** @doc {heading: 'Backends'} */\nexport function ready(): Promise<void> {\n  return ENGINE.ready();\n}\n\n/**\n * Returns the current backend name (cpu, webgl, etc). The backend is\n * responsible for creating tensors and executing operations on those tensors.\n */\n/** @doc {heading: 'Backends'} */\nexport function getBackend(): string {\n  return ENGINE.backendName;\n}\n\n/**\n * Removes a backend and the registered factory.\n */\n/** @doc {heading: 'Backends'} */\nexport function removeBackend(name: string): void {\n  ENGINE.removeBackend(name);\n}\n\n/**\n * Finds the backend registered under the provided name. Returns null if the\n * name is not in the registry, or the registration hasn't finished yet.\n */\nexport function findBackend(name: string): KernelBackend {\n  return ENGINE.findBackend(name);\n}\n\n/**\n * Finds the backend factory registered under the provided name. Returns a\n * function that produces a new backend when called. Returns null if the name\n * is not in the registry.\n */\nexport function findBackendFactory(name: string): () =>\n    KernelBackend | Promise<KernelBackend> {\n  return ENGINE.findBackendFactory(name);\n}\n\n/**\n * Registers a global backend. The registration should happen when importing\n * a module file (e.g. when importing `backend_webgl.ts`), and is used for\n * modular builds (e.g. custom tfjs bundle with only webgl support).\n *\n * @param factory The backend factory function. When called, it should\n * return a backend instance, or a promise of an instance.\n * @param priority The priority of the backend (higher = more important).\n *     In case multiple backends are registered, the priority is used to find\n *     the best backend. Defaults to 1.\n * @return False if there is already a registered backend under this name, true\n *     if not.\n */\n/** @doc {heading: 'Backends'} */\nexport function registerBackend(\n    name: string, factory: () => KernelBackend | Promise<KernelBackend>,\n    priority = 1): boolean {\n  return ENGINE.registerBackend(name, factory, priority);\n}\n\n/**\n * Gets the current backend. If no backends have been initialized, this will\n * attempt to initialize the best backend. Will throw an error if the highest\n * priority backend has async initialization, in which case, you should call\n * 'await tf.ready()' before running other code.\n */\n/** @doc {heading: 'Backends'} */\nexport function backend(): KernelBackend {\n  return ENGINE.backend;\n}\n\n/**\n * Sets the global platform.\n *\n * @param platformName The name of this platform.\n * @param platform A platform implementation.\n */\nexport function setPlatform(platformName: string, platform: Platform) {\n  env().setPlatform(platformName, platform);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nexport function warn(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.warn(...msg);\n  }\n}\n\nexport function log(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.log(...msg);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {env} from './environment';\nimport {Tensor} from './tensor';\nimport {DataType, TensorLike} from './types';\nimport {assert, flatten, inferDtype, isTypedArray, toTypedArray} from './util';\n\nexport function inferShape(val: TensorLike, dtype?: DataType): number[] {\n  let firstElem: typeof val = val;\n\n  if (isTypedArray(val)) {\n    return dtype === 'string' ? [] : [val.length];\n  }\n  if (!Array.isArray(val)) {\n    return [];  // Scalar.\n  }\n  const shape: number[] = [];\n\n  while (Array.isArray(firstElem) ||\n         isTypedArray(firstElem) && dtype !== 'string') {\n    shape.push(firstElem.length);\n    firstElem = firstElem[0];\n  }\n  if (Array.isArray(val) &&\n      env().getBool('TENSORLIKE_CHECK_SHAPE_CONSISTENCY')) {\n    deepAssertShapeConsistency(val, shape, []);\n  }\n\n  return shape;\n}\n\nfunction deepAssertShapeConsistency(\n    val: TensorLike, shape: number[], indices: number[]) {\n  indices = indices || [];\n  if (!(Array.isArray(val)) && !isTypedArray(val)) {\n    assert(\n        shape.length === 0,\n        () => `Element arr[${indices.join('][')}] is a primitive, ` +\n            `but should be an array/TypedArray of ${shape[0]} elements`);\n    return;\n  }\n  assert(\n      shape.length > 0,\n      () => `Element arr[${indices.join('][')}] should be a primitive, ` +\n          `but is an array of ${val.length} elements`);\n  assert(\n      val.length === shape[0],\n      () => `Element arr[${indices.join('][')}] should have ${shape[0]} ` +\n          `elements, but has ${val.length} elements`);\n  const subShape = shape.slice(1);\n  for (let i = 0; i < val.length; ++i) {\n    deepAssertShapeConsistency(val[i], subShape, indices.concat(i));\n  }\n}\n\nfunction assertDtype(\n    expectedDtype: DataType|'numeric', actualDType: DataType, argName: string,\n    functionName: string) {\n  if (expectedDtype == null) {\n    return;\n  }\n  if (expectedDtype !== 'numeric' && expectedDtype !== actualDType ||\n      expectedDtype === 'numeric' && actualDType === 'string') {\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must ` +\n        `be ${expectedDtype} tensor, but got ${actualDType} tensor`);\n  }\n}\n\nexport function convertToTensor<T extends Tensor>(\n    x: T|TensorLike, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T {\n  if (x instanceof Tensor) {\n    assertDtype(parseAsDtype, x.dtype, argName, functionName);\n    return x;\n  }\n  let inferredDtype = inferDtype(x);\n  // If the user expects a bool/int/float, use that info to update the\n  // inferredDtype when it is not a string.\n  if (inferredDtype !== 'string' &&\n      ['bool', 'int32', 'float32'].indexOf(parseAsDtype) >= 0) {\n    inferredDtype = parseAsDtype as DataType;\n  }\n  assertDtype(parseAsDtype, inferredDtype, argName, functionName);\n\n  if ((x == null) ||\n      (!isTypedArray(x) && !Array.isArray(x) && typeof x !== 'number' &&\n       typeof x !== 'boolean' && typeof x !== 'string')) {\n    const type = x == null ? 'null' : (x as {}).constructor.name;\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must be a ` +\n        `Tensor or TensorLike, but got '${type}'`);\n  }\n  const inferredShape = inferShape(x, inferredDtype);\n  if (!isTypedArray(x) && !Array.isArray(x)) {\n    x = [x] as number[];\n  }\n  const skipTypedArray = true;\n  const values = inferredDtype !== 'string' ?\n      toTypedArray(x, inferredDtype as DataType, env().getBool('DEBUG')) :\n      flatten(x as string[], [], skipTypedArray) as string[];\n  return ENGINE.makeTensor(values, inferredShape, inferredDtype) as T;\n}\n\nexport function convertToTensorArray<T extends Tensor>(\n    arg: Array<T|TensorLike>, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T[] {\n  if (!Array.isArray(arg)) {\n    throw new Error(\n        `Argument ${argName} passed to ${functionName} must be a ` +\n        '`Tensor[]` or `TensorLike[]`');\n  }\n  const tensors = arg as T[];\n  return tensors.map(\n      (t, i) => convertToTensor(t, `${argName}[${i}]`, functionName),\n      parseAsDtype);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\n/**\n * Returns true if the axis specifies the inner most dimensions of the\n * array.\n */\nexport function axesAreInnerMostDims(axes: number[], rank: number): boolean {\n  for (let i = 0; i < axes.length; ++i) {\n    if (axes[axes.length - i - 1] !== rank - 1 - i) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function combineLocations(\n    outputLoc: number[], reduceLoc: number[], axes: number[]): number[] {\n  const rank = outputLoc.length + reduceLoc.length;\n  const loc = [];\n  let outIdx = 0;\n  let reduceIdx = 0;\n    for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      loc.push(outputLoc[outIdx++]);\n    } else {\n      loc.push(reduceLoc[reduceIdx++]);\n    }\n  }\n  return loc;\n}\n\nexport function computeOutAndReduceShapes(\n    aShape: number[], axes: number[]): [number[], number[]] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      outShape.push(aShape[dim]);\n    }\n  }\n  const reduceShape = axes.map(dim => aShape[dim]);\n  return [outShape, reduceShape];\n}\n\nexport function expandShapeToKeepDim(\n    shape: number[], axes: number[]): number[] {\n  const reduceSubShape = axes.map(x => 1);\n  return combineLocations(shape, reduceSubShape, axes);\n}\n\nexport function assertAxesAreInnerMostDims(\n    msg: string, axes: number[], rank: number): void {\n  util.assert(\n      axesAreInnerMostDims(axes, rank),\n      () => `${msg} supports only inner-most axes for now. ` +\n          `Got axes ${axes} and rank-${rank} input.`);\n}\n\n/**\n * Returns the axes permutation to be used with `tf.transpose`, if such\n * permutation is necessary. Otherwise it returns null. This method is used by\n * operations that operate only on inner-most axes.\n */\nexport function getAxesPermutation(axes: number[], rank: number): number[]|\n    null {\n  if (axesAreInnerMostDims(axes, rank)) {\n    return null;\n  }\n  const result: number[] = [];\n  for (let i = 0; i < rank; ++i) {\n    if (axes.indexOf(i) === -1) {\n      result.push(i);\n    }\n  }\n  axes.forEach(axis => result.push(axis));\n  return result;\n}\n\n/** Returns the axes permutation that undoes the original permutation. */\nexport function getUndoAxesPermutation(axes: number[]): number[] {\n  return axes.map((axis, i) => [i, axis])\n      .sort((a, b) => a[1] - b[1])\n      .map(x => x[0]);\n}\n\nexport function getInnerMostAxes(numAxes: number, rank: number): number[] {\n  const res: number[] = [];\n  for (let i = rank - numAxes; i < rank; ++i) {\n    res.push(i);\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\nexport function assertParamsConsistent(shapes: number[][], axis: number) {\n  const rank = shapes[0].length;\n  shapes.forEach((shape, i) => {\n    util.assert(\n        shape.length === rank,\n        () =>\n            `Error in concat${rank}D: rank of tensors[${i}] must be the same ` +\n            `as the rank of the rest (${rank})`);\n  });\n\n  util.assert(\n      axis >= 0 && axis < rank,\n      () => `Error in concat${rank}D: axis must be between 0 and ${rank - 1}.`);\n\n  const firstShape = shapes[0];\n  shapes.forEach((shape, i) => {\n    for (let r = 0; r < rank; r++) {\n      util.assert(\n          (r === axis) || (shape[r] === firstShape[r]),\n          () => `Error in concat${rank}D: Shape of tensors[${i}] (${shape}) ` +\n              `does not match the shape of the rest (${firstShape}) ` +\n              `along the non-concatenated axis ${i}.`);\n    }\n  });\n}\n\nexport function computeOutShape(shapes: number[][], axis: number): number[] {\n  const outputShape = shapes[0].slice();\n  for (let i = 1; i < shapes.length; i++) {\n    outputShape[axis] += shapes[i][axis];\n  }\n  return outputShape;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\n\n/**\n * Used for wrapping functions that perform math operations on\n * Tensors. The function will be wrapped in a named scope that cleans all\n * memory usage after the function is done.\n */\nexport function op<T extends Function>(f: {[name: string]: T}): T {\n  const keys = Object.keys(f);\n  if (keys.length !== 1) {\n    throw new Error(\n        `Please provide an object with a single key ` +\n        `(operation name) mapping to a function. Got an object with ` +\n        `${keys.length} keys.`);\n  }\n\n  let opName = keys[0];\n  const fn = f[opName];\n\n  // Strip the underscore from the end of the function name.\n  if (opName.endsWith('_')) {\n    opName = opName.substring(0, opName.length - 1);\n  }\n\n  // tslint:disable-next-line:no-any\n  const f2 = (...args: any[]) => {\n    ENGINE.startScope(opName);\n    try {\n      const result = fn(...args);\n      if (result instanceof Promise) {\n        console.error('Cannot return a Promise inside of tidy.');\n      }\n      ENGINE.endScope(result);\n      return result;\n    } catch (ex) {\n      ENGINE.endScope(null);\n      throw ex;\n    }\n  };\n  Object.defineProperty(f2, 'name', {value: opName, configurable: true});\n\n  // tslint:disable-next-line:no-any\n  return f2 as any as T;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Converts two real numbers to a complex number.\n *\n * Given a tensor `real` representing the real part of a complex number, and a\n * tensor `imag` representing the imaginary part of a complex number, this\n * operation returns complex numbers elementwise of the form [r0, i0, r1, i1],\n * where r represents the real part and i represents the imag part.\n *\n * The input tensors real and imag must have the same shape.\n *\n * ```js\n * const real = tf.tensor1d([2.25, 3.25]);\n * const imag = tf.tensor1d([4.75, 5.75]);\n * const complex = tf.complex(real, imag);\n *\n * complex.print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction complex_<T extends Tensor>(real: T|TensorLike, imag: T|TensorLike): T {\n  const $real = convertToTensor(real, 'real', 'complex');\n  const $imag = convertToTensor(imag, 'imag', 'complex');\n  util.assertShapesMatch(\n      $real.shape, $imag.shape,\n      `real and imag shapes, ${$real.shape} and ${$imag.shape}, ` +\n          `must match in call to tf.complex().`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.complex($real, $imag), {$real, $imag});\n}\n\n/**\n * Returns the real part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the real part of each element in input considered as a complex number.\n *\n * If the input is real, it simply makes a clone.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.real(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction real_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'real');\n\n  return ENGINE.runKernelFunc(backend => backend.real($input), {$input});\n}\n\n/**\n * Returns the imaginary part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the imaginary part of each element in input considered as a complex number.\n * If input is real, a tensor of all zeros is returned.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.imag(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction imag_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'imag');\n\n  return ENGINE.runKernelFunc(backend => backend.imag($input), {$input});\n}\n\nexport const complex = op({complex_});\nexport const real = op({real_});\nexport const imag = op({imag_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {env} from '../environment';\n\nimport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, Tensor6D, Variable} from '../tensor';\nimport {convertToTensor, inferShape} from '../tensor_util_env';\nimport {TensorLike, TensorLike1D, TensorLike2D, TensorLike3D, TensorLike4D, TensorLike5D, TensorLike6D, TypedArray} from '../types';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {assert, assertNonNegativeIntegerDimensions, assertNonNull, flatten, inferDtype, isTypedArray, makeOnesTypedArray, makeZerosTypedArray, sizeFromShape, toTypedArray} from '../util';\nimport {complex, imag, real} from './complex_ops';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with the provided values, shape and dtype.\n *\n * ```js\n * // Pass an array of values to create a vector.\n * tf.tensor([1, 2, 3, 4]).print();\n * ```\n *\n * ```js\n * // Pass a nested array of values to make a matrix or a higher\n * // dimensional tensor.\n * tf.tensor([[1, 2], [3, 4]]).print();\n * ```\n *\n * ```js\n * // Pass a flat array and specify a shape yourself.\n * tf.tensor([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`. If the values are strings,\n *     they will be encoded as utf-8 and kept as `Uint8Array[]`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor<R extends Rank>(\n    values: TensorLike, shape?: ShapeMap[R], dtype?: DataType): Tensor<R> {\n  const inferredShape = inferShape(values, dtype);\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor<R>;\n}\n\n/** This is shared code across all tensor creation methods. */\nfunction makeTensor(\n    values: TensorLike, shape: number[], inferredShape: number[],\n    dtype?: DataType): Tensor {\n  if (dtype == null) {\n    dtype = inferDtype(values);\n  }\n  if (dtype === 'complex64') {\n    throw new Error(\n        `Cannot construct a complex64 tensor directly. ` +\n        `Please use tf.complex(real, imag).`);\n  }\n  if (!isTypedArray(values) && !Array.isArray(values) &&\n      typeof values !== 'number' && typeof values !== 'boolean' &&\n      typeof values !== 'string') {\n    throw new Error(\n        'values passed to tensor(values) must be a number/boolean/string or ' +\n        'an array of numbers/booleans/strings, or a TypedArray');\n  }\n  if (shape != null) {\n    assertNonNegativeIntegerDimensions(shape);\n\n    const providedSize = sizeFromShape(shape);\n    const inferredSize = sizeFromShape(inferredShape);\n    assert(\n        providedSize === inferredSize,\n        () =>\n            `Based on the provided shape, [${shape}], the tensor should have ` +\n            `${providedSize} values but has ${inferredSize}`);\n\n    for (let i = 0; i < inferredShape.length; ++i) {\n      const inferred = inferredShape[i];\n      const flatDimsDontMatch = i === inferredShape.length - 1 ?\n          inferred !== sizeFromShape(shape.slice(i)) :\n          true;\n      assert(\n          inferredShape[i] === shape[i] || !flatDimsDontMatch,\n          () => `Error creating a new Tensor. Inferred shape ` +\n              `(${inferredShape}) does not match the provided ` +\n              `shape (${shape}). `);\n    }\n  }\n\n  if (!isTypedArray(values) && !Array.isArray(values)) {\n    values = [values] as number[];\n  }\n\n  shape = shape || inferredShape;\n  values = dtype !== 'string' ?\n      toTypedArray(values, dtype, env().getBool('DEBUG')) :\n      flatten(values as string[], [], true) as string[];\n  return ENGINE.makeTensor(values as TypedArray, shape, dtype);\n}\n\n/**\n * Creates rank-0 `tf.Tensor` (scalar) with the provided value and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.scalar` as it makes the code more readable.\n *\n * ```js\n * tf.scalar(3.14).print();\n * ```\n *\n * @param value The value of the scalar.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction scalar(\n    value: number|boolean|string|Uint8Array, dtype?: DataType): Scalar {\n  if (((isTypedArray(value) && dtype !== 'string') || Array.isArray(value)) &&\n      dtype !== 'complex64') {\n    throw new Error(\n        'Error creating a new Scalar: value must be a primitive ' +\n        '(number|boolean|string)');\n  }\n  if (dtype === 'string' && isTypedArray(value) &&\n      !(value instanceof Uint8Array)) {\n    throw new Error(\n        'When making a scalar from encoded string, ' +\n        'the value must be `Uint8Array`.');\n  }\n  const shape: number[] = [];\n  const inferredShape: number[] = [];\n  return makeTensor(value, shape, inferredShape, dtype) as Scalar;\n}\n\n/**\n * Creates rank-1 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor1d` as it makes the code more readable.\n *\n * ```js\n * tf.tensor1d([1, 2, 3]).print();\n * ```\n *\n * @param values The values of the tensor. Can be array of numbers,\n *     or a `TypedArray`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor1d(values: TensorLike1D, dtype?: DataType): Tensor1D {\n  assertNonNull(values);\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 1) {\n    throw new Error('tensor1d() requires values to be a flat/TypedArray');\n  }\n  const shape: number[] = null;\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor1D;\n}\n\n/**\n * Creates rank-2 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor2d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor2d([[1, 2], [3, 4]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided, it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor2d(\n    values: TensorLike2D, shape?: [number, number],\n    dtype?: DataType): Tensor2D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 2) {\n    throw new Error('tensor2d() requires shape to have two numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 2 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor2d() requires values to be number[][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor2d() requires shape to be provided when `values` ' +\n        'are a flat/TypedArray');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor2D;\n}\n\n/**\n * Creates rank-3 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor3d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor3d([[[1], [2]], [[3], [4]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor3d([1, 2, 3, 4], [2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided,  it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor3d(\n    values: TensorLike3D, shape?: [number, number, number],\n    dtype?: DataType): Tensor3D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 3) {\n    throw new Error('tensor3d() requires shape to have three numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 3 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor3d() requires values to be number[][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor3d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor3D;\n}\n\n/**\n * Creates rank-4 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor4d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor4d([[[[1], [2]], [[3], [4]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor4d(\n    values: TensorLike4D, shape?: [number, number, number, number],\n    dtype?: DataType): Tensor4D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 4) {\n    throw new Error('tensor4d() requires shape to have four numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 4 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor4d() requires values to be number[][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor4d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor4D;\n}\n\n/**\n * Creates rank-5 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor5d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor5d([[[[[1], [2]], [[3], [4]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor5d(\n    values: TensorLike5D, shape?: [number, number, number, number, number],\n    dtype?: DataType): Tensor5D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 5) {\n    throw new Error('tensor5d() requires shape to have five numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 5 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor5d() requires values to be ' +\n        'number[][][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor5d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor5D;\n}\n\n/**\n * Creates rank-6 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor6d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor6d([[[[[[1],[2]],[[3],[4]]],[[[5],[6]],[[7],[8]]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor6d([1, 2, 3, 4, 5, 6, 7, 8], [1, 1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor6d(\n    values: TensorLike6D,\n    shape?: [number, number, number, number, number, number],\n    dtype?: DataType): Tensor6D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 6) {\n    throw new Error('tensor6d() requires shape to have six numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 6 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor6d() requires values to be number[][][][][][] or ' +\n        'flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor6d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  shape = shape ||\n      inferredShape as [number, number, number, number, number, number];\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor6D;\n}\n\n/**\n * Creates a new variable with the provided initial value.\n * ```js\n * const x = tf.variable(tf.tensor([1, 2, 3]));\n * x.assign(tf.tensor([4, 5, 6]));\n *\n * x.print();\n * ```\n *\n * @param initialValue Initial value for the tensor.\n * @param trainable If true, optimizers are allowed to update it.\n * @param name Name of the variable. Defaults to a unique id.\n * @param dtype If set, initialValue will be converted to the given type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction variable<R extends Rank>(\n    initialValue: Tensor<R>, trainable = true, name?: string,\n    dtype?: DataType): Variable<R> {\n  return ENGINE.makeVariable(initialValue, trainable, name, dtype) as\n      Variable<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1.\n *\n * ```js\n * tf.ones([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n *     'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction ones<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = ones(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeOnesTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0.\n *\n * ```js\n * tf.zeros([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Can\n *     be 'float32', 'int32' or 'bool'. Defaults to 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zeros<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = zeros(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeZerosTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` filled with a scalar value.\n *\n * ```js\n * tf.fill([2, 2], 4).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param value The scalar value to fill the tensor with.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n * 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction fill<R extends Rank>(\n    shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n  return ENGINE.runKernelFunc(backend => backend.fill(shape, value, dtype), {});\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.onesLike(x).print();\n * ```\n * @param x A tensor.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction onesLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'onesLike');\n  if ($x.dtype === 'complex64') {\n    const r = onesLike(real($x));\n    const i = zerosLike(imag($x));\n    return complex(r, i);\n  }\n  const der = (dy: T, saved: Tensor[]) => ({x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(\n             backend => backend.onesLike($x), {x: $x}, der, 'OnesLike') as T;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.zerosLike(x).print();\n * ```\n *\n * @param x The tensor of required shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zerosLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'zerosLike');\n  const der = (dy: T, saved: Tensor[]) => ({x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(\n             backend => backend.zerosLike($x), {x: $x}, der, 'ZerosLike') as T;\n}\n\n/**\n * Return an evenly spaced sequence of numbers over the given interval.\n *\n * ```js\n * tf.linspace(0, 9, 10).print();\n * ```\n * @param start The start value of the sequence.\n * @param stop The end value of the sequence.\n * @param num The number of values to generate.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction linspace(start: number, stop: number, num: number): Tensor1D {\n  if (num <= 0) {\n    throw new Error('The number of values should be positive.');\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.linspace(start, stop, num), {});\n}\n\n/**\n * Creates a new `tf.Tensor1D` filled with the numbers in the range provided.\n *\n * The tensor is a is half-open interval meaning it includes start, but\n * excludes stop. Decrementing ranges and negative step values are also\n * supported.\n *\n * ```js\n * tf.range(0, 9, 2).print();\n * ```\n *\n * @param start An integer start value\n * @param stop An integer stop value\n * @param step An integer increment (will default to 1 or -1)\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction range(\n    start: number, stop: number, step = 1,\n    dtype: 'float32'|'int32' = 'float32'): Tensor1D {\n  if (step === 0) {\n    throw new Error('Cannot have a step of zero');\n  }\n\n  const sameStartStop = start === stop;\n  const increasingRangeNegativeStep = start < stop && step < 0;\n  const decreasingRangePositiveStep = stop < start && step > 1;\n\n  if (sameStartStop || increasingRangeNegativeStep ||\n      decreasingRangePositiveStep) {\n    return zeros([0], dtype);\n  }\n\n  const numElements = Math.abs(Math.ceil((stop - start) / step));\n  const values = makeZerosTypedArray(numElements, dtype);\n\n  if (stop < start && step === 1) {\n    // Auto adjust the step's sign if it hasn't been set\n    // (or was set to 1)\n    step = -1;\n  }\n\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, dtype);\n}\n\nexport {\n  fill,\n  linspace,\n  ones,\n  range,\n  scalar,\n  tensor,\n  tensor1d,\n  tensor2d,\n  tensor3d,\n  tensor4d,\n  tensor5d,\n  tensor6d,\n  variable,\n  zeros\n};\n\nexport const onesLike = op({onesLike_});\nexport const zerosLike = op({zerosLike_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, sizeFromShape} from '../util';\nimport {parseAxisParam} from '../util';\nimport {assertParamsConsistent, computeOutShape} from './concat_util';\nimport {op} from './operation';\nimport {tensor} from './tensor_ops';\n\n/**\n * Concatenates a list of`tf.Tensor1D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(3) = |r1, g1, b1|\n * B: shape(2) = |r2, g2|\n * C = tf.concat1d([A, B]) == |r1, g1, b1, r2, g2|\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @return The concatenated array.\n */\nfunction concat1d_(tensors: Array<Tensor1D|TensorLike>): Tensor1D {\n  return concat(tensors, 0 /* axis */);\n}\n\n/**\n * Concatenates a list of`tf.Tensor2D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *\n * B: shape(2, 3) = | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * C = tf.concat2d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *                  | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * if axis = 1:\n * C = shape(2, 6) = | r1, g1, b1, r3, g3, b3 |\n *                   | r2, g2, b2, r4, g4, b4 |\n *\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concatenate along.\n * @return The concatenated array.\n */\nfunction concat2d_(\n    tensors: Array<Tensor2D|TensorLike>, axis: number): Tensor2D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor3D`s along an axis.\n * See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *\n * B: shape(2, 1, 3) = | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * C = tf.concat3d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *                     | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * if axis = 1:\n * C: shape(2, 2, 3) = | r1, g1, b1, r3, g3, b3 |\n *                     | r2, g2, b2, r4, g4, b4 |\n *\n * if axis = 2:\n * C = shape(2, 1, 6) = | r1, g1, b1, r3, g3, b3 |\n *                      | r2, g2, b2, r4, g4, b4 |\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat3d_(\n    tensors: Array<Tensor3D|TensorLike>, axis: number): Tensor3D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor4D`s along an axis.\n * See `concat` for details.\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat4d_(\n    tensors: Array<Tensor4D|TensorLike>, axis: number): Tensor4D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor`s along a given axis.\n *\n * The tensors ranks and types must match, and their sizes must match in all\n * dimensions except `axis`.\n *\n * Also available are stricter rank-specific methods that assert that\n * `tensors` are of the given rank:\n *   - `tf.concat1d`\n *   - `tf.concat2d`\n *   - `tf.concat3d`\n *   - `tf.concat4d`\n *\n * Except `tf.concat1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * a.concat(b).print();  // or a.concat(b)\n * ```\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.concat([a, b, c]).print();\n * ```\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [10, 20]]);\n * const b = tf.tensor2d([[3, 4], [30, 40]]);\n * const axis = 1;\n * tf.concat([a, b], axis).print();\n * ```\n * @param tensors A list of tensors to concatenate.\n * @param axis The axis to concate along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction concat_<T extends Tensor>(tensors: Array<T|TensorLike>, axis = 0): T {\n  assert(tensors.length >= 1, () => 'Pass at least one tensor to concat');\n  let $tensors = convertToTensorArray(tensors, 'tensors', 'concat');\n  if ($tensors[0].dtype === 'complex64') {\n    $tensors.forEach(tensor => {\n      if (tensor.dtype !== 'complex64') {\n        throw new Error(`Cannot concatenate complex64 tensors with a tensor\n          with dtype ${tensor.dtype}. `);\n      }\n    });\n  }\n\n  axis = parseAxisParam(axis, $tensors[0].shape)[0];\n  const outShape = computeOutShape($tensors.map(t => t.shape), axis);\n  if (sizeFromShape(outShape) === 0) {\n    return tensor([], outShape) as T;\n  }\n  // Keep only non-empty tensors (ignore tensors with 0 in their shape).\n  $tensors = $tensors.filter(t => t.size > 0);\n  if ($tensors.length === 1) {\n    return $tensors[0];\n  }\n\n  const shapes = $tensors.map(t => t.shape);\n  assertParamsConsistent(shapes, axis);\n  const der = (dy: T) => {\n    const sizeSplits = shapes.map(s => s[axis]);\n    const derTensors = split(dy, sizeSplits, axis);\n    return derTensors.map(t => () => t) as {};\n  };\n  const inputs = $tensors as {};\n  const attr = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.concat($tensors, axis) as T, inputs, der, 'Concat',\n      attr);\n}\n\n/**\n * Splits a `tf.Tensor` into sub tensors.\n *\n * If `numOrSizeSplits` is a number, splits `x` along dimension `axis`\n * into `numOrSizeSplits` smaller tensors.\n * Requires that `numOrSizeSplits` evenly divides `x.shape[axis]`.\n *\n * If `numOrSizeSplits` is a number array, splits `x` into\n * `numOrSizeSplits.length` pieces. The shape of the `i`-th piece has the\n * same size as `x` except along dimension `axis` where the size is\n * `numOrSizeSplits[i]`.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8], [2, 4]);\n * const [a, b] = tf.split(x, 2, 1);\n * a.print();\n * b.print();\n *\n * const [c, d, e] = tf.split(x, [1, 2, 1], 1);\n * c.print();\n * d.print();\n * e.print();\n * ```\n *\n * @param x The input tensor to split.\n * @param numOrSizeSplits Either an integer indicating the number of\n * splits along the axis or an array of integers containing the sizes of\n * each output tensor along the axis. If a number then it must evenly divide\n * `x.shape[axis]`; otherwise the sum of sizes must match `x.shape[axis]`.\n * @param axis The dimension along which to split. Defaults to 0 (the first\n * dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction split_<T extends Tensor>(\n    x: T|TensorLike, numOrSizeSplits: number[]|number, axis = 0): T[] {\n  const $x = convertToTensor(x, 'x', 'split');\n\n  axis = parseAxisParam(axis, $x.shape)[0];\n  let splitSizes: number[];\n  if (typeof (numOrSizeSplits) === 'number') {\n    assert(\n        $x.shape[axis] % numOrSizeSplits === 0,\n        () => 'Number of splits must evenly divide the axis.');\n    splitSizes =\n        new Array(numOrSizeSplits).fill($x.shape[axis] / numOrSizeSplits);\n  } else {\n    assert(\n        $x.shape[axis] === numOrSizeSplits.reduce((a, b) => a + b),\n        () => 'The sum of sizes must match the size of the axis dimension.');\n    splitSizes = numOrSizeSplits;\n  }\n  const der = (dy: T[]) => ({$x: () => concat(dy, axis)});\n  return ENGINE.runKernelFunc(\n      backend => backend.split($x, splitSizes, axis), {$x}, der);\n}\n\nexport const concat = op({concat_});\nexport const concat1d = op({concat1d_});\nexport const concat2d = op({concat2d_});\nexport const concat3d = op({concat3d_});\nexport const concat4d = op({concat4d_});\nexport const split = op({split_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor4D, TensorBuffer} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {DataType, DataTypeMap, Rank, ShapeMap, TensorLike, TensorLike4D} from '../types';\nimport * as util from '../util';\nimport {getAxesPermutation, getInnerMostAxes} from './axis_util';\nimport {concat} from './concat_split';\nimport {op} from './operation';\n\n/**\n * Reshapes a `tf.Tensor` to a given shape.\n *\n * Given an input tensor, returns a new tensor with the same values as the\n * input tensor with shape `shape`.\n *\n * If one component of shape is the special value -1, the size of that\n * dimension is computed so that the total size remains constant. In\n * particular, a shape of [-1] flattens into 1-D. At most one component of\n * shape can be -1.\n *\n * If shape is 1-D or higher, then the operation returns a tensor with shape\n * shape filled with the values of tensor. In this case, the number of\n * elements implied by shape must be the same as the number of elements in\n * tensor.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.reshape([2, 2]).print();\n * ```\n *\n * @param x The input tensor to be reshaped.\n * @param shape An array of integers defining the output tensor shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction reshape_<R2 extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R2]): Tensor<R2> {\n  const $x = convertToTensor(x, 'x', 'reshape', null);\n  shape = util.inferFromImplicitShape(shape, $x.size) as ShapeMap[R2];\n  util.assert(\n      $x.size === util.sizeFromShape(shape),\n      () => 'new shape and old shape must have the same number of elements.');\n\n  const grad = (dy: Tensor<R2>) => {\n    return {x: () => dy.reshape($x.shape)};\n  };\n  const attrs = {shape};\n  return ENGINE.runKernelFunc(\n      backend => backend.reshape($x, shape), {x: $x}, grad, 'Reshape', attrs);\n}\n\n/**\n * Removes dimensions of size 1 from the shape of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4], [1, 1, 4]);\n * x.squeeze().print();\n * ```\n *\n * @param x The input tensor to be squeezed.\n * @param axis An optional list of numbers. If specified, only\n *     squeezes the dimensions listed. The dimension index starts at 0. It\n * is an error to squeeze a dimension that is not 1.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction squeeze_<T extends Tensor>(x: Tensor|TensorLike, axis?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'squeeze');\n  return reshape($x, util.squeezeShape($x.shape, axis).newShape) as T;\n}\n\n/**\n * Casts a `tf.Tensor` to a new dtype.\n *\n * ```js\n * const x = tf.tensor1d([1.5, 2.5, 3]);\n * tf.cast(x, 'int32').print();\n * ```\n * @param x The input tensor to be casted.\n * @param dtype The dtype to cast the input tensor to.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction cast_<T extends Tensor>(x: T|TensorLike, dtype: DataType): T {\n  const $x = convertToTensor(x, 'x', 'cast');\n\n  // Sanity checks.\n  if (!util.isValidDtype(dtype)) {\n    throw new Error(`Failed to cast to unknown dtype ${dtype}`);\n  }\n  if (dtype === 'string' && $x.dtype !== 'string' ||\n      dtype !== 'string' && $x.dtype === 'string') {\n    throw new Error('Only strings can be casted to strings');\n  }\n\n  const grad = (dy: T) => {\n    return {x: () => dy.clone()};\n  };\n  const attrs = {dtype};\n  return ENGINE.runKernelFunc(\n      backend => backend.cast($x, dtype), {x: $x}, grad, 'Cast', attrs);\n}\n\n/**\n * Stacks a list of rank-`R` `tf.Tensor`s into one rank-`(R+1)` `tf.Tensor`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.stack([a, b, c]).print();\n * ```\n *\n * @param tensors A list of tensor objects with the same shape and dtype.\n * @param axis The axis to stack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction stack_<T extends Tensor>(\n    tensors: Array<T|TensorLike>, axis = 0): Tensor {\n  const $tensors = convertToTensorArray(tensors, 'tensors', 'stack');\n\n  util.assert(\n      $tensors.length >= 1, () => 'Pass at least one tensor to tf.stack');\n  if ($tensors.length === 1) {\n    return $tensors[0].expandDims(axis);\n  }\n  const rank = $tensors[0].rank;\n  const shape = $tensors[0].shape;\n  const dtype = $tensors[0].dtype;\n\n  util.assert(axis <= rank, () => 'Axis must be <= rank of the tensor');\n\n  $tensors.forEach(t => {\n    util.assertShapesMatch(\n        shape, t.shape,\n        'All tensors passed to stack must have matching shapes');\n  });\n\n  $tensors.forEach(t => {\n    util.assert(\n        dtype === t.dtype,\n        () => 'All tensors passed to stack must have matching dtypes');\n  });\n  const expandedTensors = $tensors.map(t => t.expandDims(axis));\n  return concat(expandedTensors, axis);\n}\n\n/**\n * This operation reshapes the \"batch\" dimension 0 into `M + 1` dimensions of\n * shape `blockShape + [batch]`, interleaves these blocks back into the grid\n * defined by the spatial dimensions `[1, ..., M]`, to obtain a result with\n * the same rank as the input. The spatial dimensions of this intermediate\n * result are then optionally cropped according to `crops` to produce the\n * output. This is the reverse of `tf.spaceToBatchND`. See below for a precise\n * description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [4, 1, 1, 1]);\n * const blockShape = [2, 2];\n * const crops = [[0, 0], [0, 0]];\n *\n * x.batchToSpaceND(blockShape, crops).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param crops A 2-D array.  Must have shape `[M, 2]`, all values must be >= 0.\n * `crops[i] = [cropStart, cropEnd]` specifies the amount to crop from input\n * dimension `i + 1`, which corresponds to spatial dimension `i`. It is required\n * that `cropStart[i] + cropEnd[i] <= blockShape[i] * inputShape[i + 1]`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Reshape `x` to `reshaped` of shape: `[blockShape[0], ...,\n * blockShape[M-1], batch / prod(blockShape), x.shape[1], ...,\n * x.shape[N-1]]`\n *\n * 2. Permute dimensions of `reshaped`to produce `permuted` of shape `[batch /\n * prod(blockShape),x.shape[1], blockShape[0], ..., x.shape[M],\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 3. Reshape `permuted` to produce `reshapedPermuted` of shape `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0], ..., x.shape[M] *\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 4. Crop the start and end of dimensions `[1, ..., M]` of `reshapedPermuted`\n * according to `crops` to produce the output of shape: `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0] - crops[0,0] - crops[0,1],\n * ..., x.shape[M] * blockShape[M-1] - crops[M-1,0] -\n * crops[M-1,1],x.shape[M+1], ..., x.shape[N-1]]`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction batchToSpaceND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], crops: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'batchToSpaceND');\n  const prod = blockShape.reduce((a, b) => a * b);\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank is ${$x.rank} but should be > than blockShape.length ${\n          blockShape.length}`);\n\n  util.assert(\n      crops.length === blockShape.length,\n      () => `crops.length is ${\n          crops.length} but should be equal to blockShape.length  ${\n          blockShape.length}`);\n\n  util.assert(\n      $x.shape[0] % prod === 0,\n      () => `input tensor batch is ${\n                $x.shape[0]} but is not divisible by the product of ` +\n          `the elements of blockShape ${blockShape.join(' * ')} === ${prod}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.spaceToBatchND(blockShape, crops)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.batchToSpaceND($x, blockShape, crops), {$x}, grad);\n}\n\n/**\n * This operation divides \"spatial\" dimensions `[1, ..., M]` of the input into\n * a grid of blocks of shape `blockShape`, and interleaves these blocks with\n * the \"batch\" dimension (0) such that in the output, the spatial\n * dimensions `[1, ..., M]` correspond to the position within the grid,\n * and the batch dimension combines both the position within a spatial block\n * and the original batch position. Prior to division into blocks,\n * the spatial dimensions of the input are optionally zero padded\n * according to `paddings`. See below for a precise description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n * const blockShape = [2, 2];\n * const paddings = [[0, 0], [0, 0]];\n *\n * x.spaceToBatchND(blockShape, paddings).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param paddings A 2-D array. Must have shape `[M, 2]`, all values must be >=\n *     0. `paddings[i] = [padStart, padEnd]` specifies the amount to zero-pad\n * from input dimension `i + 1`, which corresponds to spatial dimension `i`. It\n * is required that\n * `(inputShape[i + 1] + padStart + padEnd) % blockShape[i] === 0`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Zero-pad the start and end of dimensions `[1, ..., M]` of the input\n * according to `paddings` to produce `padded` of shape paddedShape.\n *\n * 2. Reshape `padded` to `reshapedPadded` of shape:\n * `[batch] + [paddedShape[1] / blockShape[0], blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1], blockShape[M-1]] + remainingShape`\n *\n * 3. Permute dimensions of `reshapedPadded` to produce `permutedReshapedPadded`\n * of shape: `blockShape + [batch] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n *\n * 4. Reshape `permutedReshapedPadded` to flatten `blockShape` into the\n * batch dimension, producing an output tensor of shape:\n * `[batch * prod(blockShape)] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction spaceToBatchND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], paddings: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'spaceToBatchND');\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank ${$x.rank} should be > than [blockShape] ${\n          blockShape.length}`);\n\n  util.assert(\n      paddings.length === blockShape.length,\n      () => `paddings.shape[0] ${\n          paddings.length} must be equal to [blockShape] ${blockShape.length}`);\n\n  util.assert(\n      $x.shape.reduce(\n          (a, b, i) => {\n            if (i > 0 && i <= blockShape.length) {\n              return a &&\n                  ((b + paddings[i - 1][0] + paddings[i - 1][1]) %\n                       blockShape[i - 1] ===\n                   0);\n            }\n            return a;\n          },\n          true),\n      () => `input spatial dimensions ${$x.shape.slice(1)} with paddings ${\n          paddings.toString()} must be divisible by blockShapes ${\n          blockShape.toString()}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.batchToSpaceND(blockShape, paddings)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.spaceToBatchND($x, blockShape, paddings), {$x}, grad);\n}\n\n/**\n * Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * tf.unstack(a).forEach(tensor => tensor.print());\n * ```\n *\n * @param x A tensor object.\n * @param axis The axis to unstack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction unstack_(x: Tensor|TensorLike, axis = 0): Tensor[] {\n  axis = axis || 0;\n  const $x = convertToTensor(x, 'x', 'unstack');\n  util.assert(\n      axis >= -$x.shape.length && axis < $x.shape.length,\n      () =>\n          `Axis = ${axis} is not in [-${$x.shape.length}, ${$x.shape.length})`);\n  if (axis < 0) {\n    axis += $x.shape.length;\n  }\n  const grad = (dy: Tensor[]) => {\n    return {x: () => stack(dy, axis)};\n  };\n  const attrs = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.unstack($x, axis), {x: $x}, grad, 'Unpack', attrs);\n}\n\n/**\n * Computes the cumulative sum of a `tf.Tensor` along `axis`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4]);\n * x.cumsum().print();\n * ```\n * ```js\n * const x = tf.tensor([[1, 2], [3, 4]]);\n * x.cumsum().print();\n * ```\n *\n * @param x The input tensor to be summed.\n * @param axis The axis along which to sum. Optional. Defaults to 0.\n * @param exclusive Whether to perform exclusive cumulative sum. Optional.\n *     Defaults to false. If set to true then the sum of each tensor entry\n *     does not include its own value, but only the values previous to it\n *     along the specified axis.\n * @param reverse Whether to sum in the opposite direction. Optional.\n *     Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Scan'} */\nfunction cumsum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis = 0, exclusive = false, reverse = false): T {\n  const $x = convertToTensor(x, 'x', 'cumsum');\n\n  axis = axis | 0;\n  const permutation = getAxesPermutation([axis], $x.rank);\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n  }\n  const permutedAxis = getInnerMostAxes(1, $x.rank)[0];\n\n  const grad = (dy: T) => {\n    return {permutedX: () => dy.cumsum(axis, exclusive, !reverse)};\n  };\n  let value = ENGINE.runKernelFunc(\n                  backend => backend.cumsum(\n                      permutedX, permutedAxis, exclusive, reverse),\n                  {permutedX}, grad) as T;\n\n  if (permutation != null) {\n    value = value.transpose(permutation);\n  }\n  return value;\n}\n\n/**\n * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n * into the tensor's shape.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const axis = 1;\n * x.expandDims(axis).print();\n * ```\n *\n * @param x The input tensor whose dimensions to be expanded.\n * @param axis The dimension index at which to insert shape of `1`. Defaults\n *     to 0 (the first dimension).\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction expandDims_<R2 extends Rank>(\n    x: Tensor|TensorLike, axis = 0): Tensor<R2> {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'expandDims', parseAs);\n\n  util.assert(axis <= $x.rank, () => 'Axis must be <= rank of the tensor');\n  const newShape = $x.shape.slice();\n  if (axis < 0) {\n    // Negative value is counted from the tail of rank.\n    util.assert(\n        -($x.rank + 1) <= axis,\n        () => `Axis must be in the interval [${- ($x.rank + 1)}, ${$x.rank}]`);\n    axis = $x.rank + axis + 1;\n  }\n  newShape.splice(axis, 0, 1);\n  return reshape($x, newShape as ShapeMap[R2]);\n}\n\n/**\n * Rearranges data from depth into blocks of spatial data. More specifically,\n * this op outputs a copy of the input tensor where values from the `depth`\n * dimension are moved in spatial blocks to the `height` and `width` dimensions.\n * The attr `blockSize` indicates the input block size and how the data is\n * moved.\n *\n *  - Chunks of data of size `blockSize * blockSize` from depth are rearranged\n * into non-overlapping blocks of size `blockSize x blockSize`\n *\n *  - The width the output tensor is `inputWidth * blockSize`, whereas the\n * height is `inputHeight * blockSize`\n *\n *  - The Y, X coordinates within each block of the output image are determined\n * by the high order component of the input channel index\n *\n *  - The depth of the input tensor must be divisible by `blockSize *\n * blockSize`\n *\n * The `dataFormat` attr specifies the layout of the input and output tensors\n * with the following options: \"NHWC\": [ `batch, height, width, channels` ]\n * \"NCHW\": [ `batch, channels, height, width` ]\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);\n * const blockSize = 2;\n * const dataFormat = \"NHWC\";\n *\n * tf.depthToSpace(x, blockSize, dataFormat).print();\n * ```\n *\n * @param x The input tensor of rank 4\n * @param blockSIze  An `int` that is `>= 2`. The size of the spatial block\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to \"NHWC\"\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction depthToSpace_(\n    x: Tensor4D|TensorLike4D, blockSize: number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'depthToSpace') as Tensor4D;\n\n  const inputHeight = (dataFormat === 'NHWC') ? $x.shape[1] : $x.shape[2];\n  const inputWidth = (dataFormat === 'NHWC') ? $x.shape[2] : $x.shape[3];\n  const inputDepth = (dataFormat === 'NHWC') ? $x.shape[3] : $x.shape[1];\n\n  util.assert(\n      inputHeight * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputHeight} and ${blockSize}  for depthToSpace with input shape\n      ${$x.shape}`);\n\n  util.assert(\n      inputWidth * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputWidth} and ${blockSize} for depthToSpace with input shape\n          ${$x.shape}`);\n\n  util.assert(\n      (inputDepth % (blockSize * blockSize) === 0),\n      () => `Dimension size must be evenly divisible by ${\n          blockSize * blockSize} but is ${\n          inputDepth} for depthToSpace with input shape ${$x.shape}`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.depthToSpace($x, blockSize, dataFormat), {$x});\n}\n\n/**\n * Computes the difference between two lists of numbers.\n *\n * Given a Tensor `x` and a Tensor `y`, this operation returns a Tensor `out`\n * that represents all values that are in `x` but not in `y`. The returned\n * Tensor `out` is sorted in the same order that the numbers appear in `x`\n * (duplicates are preserved). This operation also returns a Tensor indices that\n * represents the position of each out element in `x`. In other words:\n *\n * `out[i] = x[idx[i]] for i in [0, 1, ..., out.length - 1]`\n *\n * ```js\n * const x = [1, 2, 3, 4, 5, 6];\n * const y = [1, 3, 5];\n *\n * const [out, indices] = await tf.setdiff1dAsync(x, y);\n * out.print(); // [2, 4, 6]\n * indices.print(); // [1, 3, 5]\n * ```\n *\n * @param x 1-D Tensor. Values to keep.\n * @param y 1-D Tensor. Must have the same type as x. Values to exclude in the\n *     output.\n * @returns Promise of Tensor tuple [out, indices].\n *  out: Tensor with the same type as x.\n *  indices: A Tensor of type int32.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nasync function setdiff1dAsync_(\n    x: Tensor|TensorLike, y: Tensor|TensorLike): Promise<[Tensor, Tensor]> {\n  const $x = convertToTensor(x, 'x', 'setdiff1d');\n  const $y = convertToTensor(y, 'y', 'setdiff1d');\n\n  util.assert(\n      $x.dtype === $y.dtype,\n      () => `x and y should have the same dtype, but got x (${\n          $x.dtype}) and y (${$y.dtype}).`);\n\n  util.assert(\n      $x.rank === 1, () => `x should be 1D tensor, but got x (${$x.shape}).`);\n\n  util.assert(\n      $y.rank === 1, () => `y should be 1D tensor, but got y (${$y.shape}).`);\n\n  const xVals = await $x.data();\n  const yVals = await $y.data();\n  const ySet = new Set(yVals);\n\n  let outputSize = 0;\n  for (let i = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      outputSize++;\n    }\n  }\n\n  const buffer = new TensorBuffer([outputSize], $x.dtype);\n  const indices = new TensorBuffer([outputSize], 'int32');\n  for (let i = 0, p = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      buffer.values[p] = xVals[i];\n      indices.values[p] = i;\n      p++;\n    }\n  }\n  return [buffer.toTensor(), indices.toTensor()];\n}\n\n/**\n * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.\n *\n * The values are stored in CPU as `TypedArray`. Fill the buffer using\n * `buffer.set()`, or by modifying directly `buffer.values`.\n *\n * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with\n * those values.\n *\n * ```js\n * // Create a buffer and set values at particular indices.\n * const buffer = tf.buffer([2, 2]);\n * buffer.set(3, 0, 0);\n * buffer.set(5, 1, 0);\n *\n * // Convert the buffer back to a tensor.\n * buffer.toTensor().print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The dtype of the buffer. Defaults to 'float32'.\n * @param values The values of the buffer as `TypedArray`. Defaults to\n * zeros.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nexport function buffer<R extends Rank, D extends DataType = 'float32'>(\n    shape: ShapeMap[R], dtype: D = 'float32' as D,\n    values?: DataTypeMap[D]): TensorBuffer<R, D> {\n  dtype = dtype || 'float32' as D;\n  util.assertNonNegativeIntegerDimensions(shape);\n  return new TensorBuffer<R, D>(shape, dtype, values);\n}\n\n/**\n * Prints information about the `tf.Tensor` including its data.\n *\n * ```js\n * const verbose = true;\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print(verbose);\n * ```\n * @param x The tensor to be printed.\n * @param verbose Whether to print verbose information about the ` Tensor`,\n * including dtype and size.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction print<T extends Tensor>(x: T, verbose = false): void {\n  console.log(x.toString(verbose));\n}\n\nexport {\n  print  // Not wrapped in op() since no need to increase stack trace.\n};\n\nexport const batchToSpaceND = op({batchToSpaceND_});\nexport const cast = op({cast_});\nexport const cumsum = op({cumsum_});\nexport const depthToSpace = op({depthToSpace_});\nexport const expandDims = op({expandDims_});\nexport const reshape = op({reshape_});\nexport const spaceToBatchND = op({spaceToBatchND_});\nexport const squeeze = op({squeeze_});\nexport const stack = op({stack_});\nexport const unstack = op({unstack_});\nexport const setdiff1dAsync = setdiff1dAsync_;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Gets the new shape of the input Tensor after it's been reshaped\n * to:\n * [blockShape[0], ..., blockShape[M-1], batch / prod(blockShape),\n * inputShape[1], ..., inputShape[N-1]]\n *\n * See step 1: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshaped(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  let reshaped: number[] = [];\n  if (batchToSpace) {\n    reshaped = reshaped.concat(blockShape.slice(0));\n    reshaped.push(inputShape[0] / prod);\n    reshaped = reshaped.concat(inputShape.slice(1));\n  } else {\n    reshaped = reshaped.concat(inputShape[0]);\n    const spatialLength = blockShape.length;\n    for (let i = 0; i < spatialLength; ++i) {\n      reshaped =\n          reshaped.concat([inputShape[i + 1] / blockShape[i], blockShape[i]]);\n    }\n    reshaped = reshaped.concat(inputShape.slice(spatialLength + 1));\n  }\n  return reshaped;\n}\n\n/**\n * Gets the permutation that will transpose the dimensions of the\n * reshaped tensor to shape:\n *\n * [batch / prod(block_shape),inputShape[1], blockShape[0], ...,\n * inputShape[M], blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * see step 2: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getPermuted(\n    reshapedRank: number, blockShapeRank: number,\n    batchToSpace = true): number[] {\n  const permuted = [];\n  if (batchToSpace) {\n    permuted.push(blockShapeRank);\n    for (let i = blockShapeRank + 1; i < reshapedRank; ++i) {\n      if (i <= 2 * blockShapeRank) {\n        permuted.push(i);\n        permuted.push(i - (blockShapeRank + 1));\n      } else {\n        permuted.push(i);\n      }\n    }\n  } else {\n    const permutedBeforeBatch = [];\n    const permutedAfterBatch = [];\n    for (let i = 1; i < reshapedRank; ++i) {\n      if (i >= blockShapeRank * 2 + 1 || i % 2 === 1) {\n        permutedAfterBatch.push(i);\n      } else {\n        permutedBeforeBatch.push(i);\n      }\n    }\n    permuted.push(...permutedBeforeBatch);\n    permuted.push(0);\n    permuted.push(...permutedAfterBatch);\n  }\n  return permuted;\n}\n\n/**\n * Gets the shape of the reshaped and permuted input Tensor before any cropping\n * is applied.  The new shape will be:\n *\n * [batch / prod(blockShape),inputShape[1] * blockShape[0], ...,\n * inputShape[M] * blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 3: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshapedPermuted(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  const reshapedPermuted = [];\n\n  if (batchToSpace) {\n    reshapedPermuted.push(inputShape[0] / prod);\n  } else {\n    reshapedPermuted.push(inputShape[0] * prod);\n  }\n\n  for (let i = 1; i < inputShape.length; ++i) {\n    if (i <= blockShape.length) {\n      if (batchToSpace) {\n        reshapedPermuted.push(blockShape[i - 1] * inputShape[i]);\n      } else {\n        reshapedPermuted.push(inputShape[i] / blockShape[i - 1]);\n      }\n    } else {\n      reshapedPermuted.push(inputShape[i]);\n    }\n  }\n\n  return reshapedPermuted;\n}\n\n/**\n * Converts the crops argument into the beginning coordinates of a slice\n * operation.\n */\nexport function getSliceBeginCoords(\n    crops: number[][], blockShape: number): number[] {\n  const sliceBeginCoords = [0];\n  for (let i = 0; i < blockShape; ++i) {\n    sliceBeginCoords.push(crops[i][0]);\n  }\n  return sliceBeginCoords;\n}\n\n/**\n * Converts the crops argument into the size of a slice operation.  When\n * combined with getSliceBeginCoords this function allows the reshaped and\n * permuted Tensor to be cropped to its final output shape of:\n *\n * inputShape[1] * blockShape[0] - crops[0,0] - crops[0,1], ...,\n * inputShape[M] * blockShape[M-1] -crops[M-1,0] -\n * crops[M-1,1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 4: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getSliceSize(\n    uncroppedShape: number[], crops: number[][], blockShape: number): number[] {\n  const sliceSize = uncroppedShape.slice(0, 1);\n  for (let i = 0; i < blockShape; ++i) {\n    sliceSize.push(uncroppedShape[i + 1] - crops[i][0] - crops[i][1]);\n  }\n\n  return sliceSize;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// Allow UpperCamelCase variable names\n// tslint:disable: variable-name\n// Unfortunately just enabling PascalCase per file (tslint:enable:\n// allow-pascal-case) doesn't work.\nimport {NamedTensorInfoMap, TensorInfo} from './kernel_registry';\nimport {PixelData} from './types';\n\nexport const Add = 'Add';\nexport type AddInputs = BinaryInputs;\n\nexport const AddN = 'AddN';\nexport type AddNInputs = TensorInfo[];\n\nexport type BinaryInputs = Pick<NamedTensorInfoMap, 'a'|'b'>;\n\nexport const Div = 'Div';\nexport type DivInputs = BinaryInputs;\n\nexport const FusedBatchNorm = 'FusedBatchNorm';\nexport type FusedBatchNormInputs =\n    Pick<NamedTensorInfoMap, 'x'|'scale'|'offset'|'mean'|'variance'>;\nexport interface FusedBatchNormAttrs {\n  varianceEpsilon: number;\n}\n\nexport const SquaredDifference = 'SquaredDifference';\nexport type SquaredDifferenceInputs = BinaryInputs;\n\nexport const Square = 'Square';\nexport type SquareInputs = Pick<NamedTensorInfoMap, 'x'>;\n\nexport const Transpose = 'Transpose';\nexport type TransposeInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface TransposeAttrs {\n  perm: number[];\n}\n\nexport const NonMaxSuppressionV5 = 'NonMaxSuppressionV5';\nexport type NonMaxSuppressionV5Inputs =\n    Pick<NamedTensorInfoMap, 'boxes'|'scores'>;\nexport interface NonMaxSuppressionV5Attrs {\n  maxOutputSize: number;\n  iouThreshold: number;\n  scoreThreshold: number;\n  softNmsSigma: number;\n}\n\nexport const BroadcastTo = 'BroadcastTo';\nexport type BroadcastToInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface BroadCastToAttrs {\n  shape: number[];\n  inputShape: number[];  // for gradient\n}\n\nexport const OneHot = 'OneHot';\nexport type OneHotInputs = Pick<NamedTensorInfoMap, 'indices'>;\nexport interface OneHotAttrs {\n  depth: number;\n  onValue: number;\n  offValue: number;\n}\n\nexport const Identity = 'Identity';\nexport type IdentityInputs = Pick<NamedTensorInfoMap, 'x'>;\n\nexport const Tile = 'Tile';\nexport type TileInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface TileAttrs {\n  reps: number[];\n}\n\nexport const PadV2 = 'PadV2';\nexport type PadV2Inputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface PadV2Attrs {\n  paddings: Array<[number, number]>;\n  constantValue: number;\n}\n\n/**\n * TensorFlow.js-only kernels\n */\nexport const FromPixels = 'FromPixels';\nexport interface FromPixelsInputs {\n  pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n      HTMLVideoElement;\n}\nexport interface FromPixelsAttrs {\n  numChannels: number;\n}\n\nexport const MaxPoolWithArgmax = 'MaxPoolWithArgmax';\nexport type MaxPoolWithArgmaxInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface MaxPoolWithArgmaxAttrs {\n  filterSize: [number, number]|number;\n  strides: [number, number]|number;\n  pad: 'valid'|'same'|number;\n  includeBatchInIndex: boolean;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Add, AddInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B. Supports broadcasting.\n *\n * We also expose `tf.addStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n *\n * ```js\n * // Broadcast add a with b.\n * const a = tf.scalar(5);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n * @param a The first `tf.Tensor` to add.\n * @param b The second `tf.Tensor` to add. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction add_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'add');\n  let $b = convertToTensor(b, 'b', 'add');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.add($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: AddInputs = {a: $a, b: $b};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* gradient */,\n             Add) as T;\n}\n\nexport const add = op({add_});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Returns the dimensions in the input shape that are broadcasted to\n * produce the provided output shape.\n *\n * The returned dimensions are 0-indexed and sorted. An example:\n * inShape = [4, 1, 3]\n * outShape = [5, 4, 3, 3]\n * result = [1]. Dimension 1 (2nd dimension of input) gets broadcasted 1 => 3.\n */\nexport function getBroadcastDims(\n    inShape: number[], outShape: number[]): number[] {\n  const inRank = inShape.length;\n  const dims: number[] = [];\n  for (let i = 0; i < inRank; i++) {\n    const dim = inRank - 1 - i;\n    const a = inShape[dim] || 1;\n    const b = outShape[outShape.length - 1 - i] || 1;\n    if (b > 1 && a === 1) {\n      dims.unshift(dim);\n    }\n  }\n  return dims;\n}\n\n/**\n * Returns the axes in the output space that should be reduced to produce\n * the input space.\n */\nexport function getReductionAxes(\n    inShape: number[], outShape: number[]): number[] {\n  const result: number[] = [];\n  for (let i = 0; i < outShape.length; i++) {\n    const inDim = inShape[inShape.length - i - 1];\n    const outAxis = outShape.length - i - 1;\n    const outDim = outShape[outAxis];\n    if (inDim == null || (inDim === 1 && outDim > 1)) {\n      result.unshift(outAxis);\n    }\n  }\n  return result;\n}\n\nexport function assertAndGetBroadcastShape(\n    shapeA: number[], shapeB: number[]): number[] {\n  const result: number[] = [];\n  const l = Math.max(shapeA.length, shapeB.length);\n\n  for (let i = 0; i < l; i++) {\n    let a = shapeA[shapeA.length - i - 1];\n    if (a == null) {\n      a = 1;\n    }\n    let b = shapeB[shapeB.length - i - 1];\n    if (b == null) {\n      b = 1;\n    }\n    if (a === 1) {\n      result.unshift(b);\n    } else if (b === 1) {\n      result.unshift(a);\n    } else if (a !== b) {\n      const errMsg = `Operands could not be broadcast together with shapes ` +\n          `${shapeA} and ${shapeB}.`;\n      throw Error(errMsg);\n    } else {\n      result.unshift(a);\n    }\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes `-1 * x` element-wise.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, -2, 0], [2, 2]);\n *\n * x.neg().print();  // or tf.neg(x)\n * ```\n *\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction neg_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'neg');\n\n  const grad = (dy: T) => {\n    return {x: () => dy.neg()};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc(\n      backend => backend.neg($x), {x: $x}, grad, 'Neg', attrs, inputsToSave);\n}\n\n/**\n * Computes ceiling of input `tf.Tensor` element-wise: `ceil(x)`\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.ceil().print();  // or tf.ceil(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction ceil_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'ceil');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.ceil($x), {$x}, grad);\n}\n\n/**\n * Computes floor of input `tf.Tensor` element-wise: `floor(x)`.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.floor().print();  // or tf.floor(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction floor_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'floor');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.floor($x), {$x}, grad);\n}\n\n/**\n * Returns an element-wise indication of the sign of a number.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3, NaN, 0]);\n *\n * x.sign().print();  // or tf.sign(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sign_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sign');\n\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.sign($x), {$x}, grad);\n}\n\n/**\n * RReturns which elements of x are NaN.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isNaN().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isNaN_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isNaN');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isNaN($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are Infinity or -Infinity.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isInf().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isInf_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isInf');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isInf($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are finite.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isFinite().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isFinite_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isFinite');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isFinite($x), {$x}, grad);\n}\n\n/**\n * Computes round of input `tf.Tensor` element-wise: `round(x)`.\n * It implements banker's rounding.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.round().print();  // or tf.round(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction round_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'round');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.round($x), {$x}, grad);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` element-wise. `e ^ x`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.exp().print();  // or tf.exp(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction exp_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'exp');\n\n  const bck = (dy: T, saved: Tensor[]) => {\n    return {x: () => dy.mulStrict(saved[0] as T)};\n  };\n  const attrs = {};\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.exp($x);\n    save([y]);\n    return y;\n  }, {x: $x}, bck, 'Exp', attrs, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` minus one element-wise.\n * `e ^ x - 1`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.expm1().print();  // or tf.expm1(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction expm1_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'expm1');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.exp())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.expm1($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` element-wise: `ln(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E]);\n *\n * x.log().print();  // or tf.log(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.toFloat())} as {x: () => T};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Log', attrs, inputsToSave);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` plus one\n * element-wise: `ln(1 + x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E - 1]);\n *\n * x.log1p().print();  // or tf.log1p(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log1p_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log1p');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log1p($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes square root of the input `tf.Tensor` element-wise: `y = sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.sqrt().print();  // or tf.sqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().sqrt().mul(2))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sqrt($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes reciprocal of square root of the input `tf.Tensor` element-wise:\n * `y = 1 / sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.rsqrt().print();  // or tf.rsqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction rsqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'rsqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.pow(1.5).mul(2)).neg() as T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.rsqrt($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Rsqrt', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes reciprocal of x element-wise: `1 / x`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, 2]);\n *\n * x.reciprocal().print();  // or tf.reciprocal(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction reciprocal_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'reciprocal');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.square().neg())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.reciprocal($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes absolute value element-wise: `abs(x)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.abs().print();  // or tf.abs(x)\n * ```\n * @param x The input `tf.Tensor`.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction abs_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'abs');\n\n  if ($x.dtype === 'complex64') {\n    return ENGINE.runKernelFunc(backend => backend.complexAbs($x), {$x});\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mul($x.toFloat().step(-1))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.abs($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Abs');\n}\n\n/**\n * Clips values element-wise. `max(min(x, clipValueMax), clipValueMin)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.clipByValue(-2, 3).print();  // or tf.clipByValue(x, -2, 3)\n * ```\n * @param x The input tensor.\n * @param clipValueMin Lower-bound of range to be clipped to.\n * @param clipValueMax Upper-bound of range to be clipped to.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction clipByValue_<T extends Tensor>(\n    x: T|TensorLike, clipValueMin: number, clipValueMax: number): T {\n  const $x = convertToTensor(x, 'x', 'clipByValue');\n  util.assert(\n      (clipValueMin <= clipValueMax),\n      () => `Error in clip: min (${clipValueMin}) must be ` +\n          `less than or equal to max (${clipValueMax}).`);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      x: () => dy.where(\n                   $x.greaterEqual(clipValueMin)\n                       .logicalAnd($x.lessEqual(clipValueMax)),\n                   zerosLike(dy)) as T,\n    };\n  };\n  const inputsToSave = [$x];\n  const attr = {min: clipValueMin, max: clipValueMax};\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.clip($x, clipValueMin, clipValueMax);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ClipByValue', attr, inputsToSave);\n}\n\n/**\n * Computes sigmoid element-wise, `1 / (1 + exp(-x))`\n *\n * ```js\n * const x = tf.tensor1d([0, -1, 2, -3]);\n *\n * x.sigmoid().print();  // or tf.sigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => dy.mul(y.mul(scalar(1).sub(y)))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.sigmoid($x);\n    save([y]);\n    return y;\n  }, {x: $x}, grad, 'Sigmoid');\n}\n\n/**\n * Computes log sigmoid of the input `tf.Tensor` element-wise:\n * `logSigmoid(x)`. For numerical stability, we use `-tf.softplus(-x)`.\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.logSigmoid().print();  // or tf.logSigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction logSigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logSigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.neg().sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x.neg()).neg();\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes softplus of the input `tf.Tensor` element-wise: `log(exp(x) + 1)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.softplus().print();  // or tf.softplus(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction softplus_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'softplus');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes sin of the input Tensor element-wise: `sin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.sin().print();  // or tf.sin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().cos().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sin($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Sin', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes cos of the input `tf.Tensor` element-wise: `cos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.cos().print();  // or tf.cos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().sin().neg().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cos($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Cos', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes tan of the input `tf.Tensor` element-wise, `tan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.tan().print();  // or tf.tan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.cos().square())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.tan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes asin of the input `tf.Tensor` element-wise: `asin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asin().print();  // or tf.asin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asin($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes acos of the input `tf.Tensor` element-wise: `acos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.acos().print();  // or tf.acos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () =>\n          dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T).neg()\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acos($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes atan of the input `tf.Tensor` element-wise: `atan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.atan().print();  // or tf.atan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().square().add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic sin of the input `tf.Tensor` element-wise: `sinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.sinh().print();  // or tf.sinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().cosh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic cos of the input `tf.Tensor` element-wise: `cosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.cosh().print();  // or tf.cosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().sinh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic tangent of the input `tf.Tensor` element-wise: `tanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, 70]);\n *\n * x.tanh().print();  // or tf.tanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => scalar(1).sub(y.square()).mulStrict(dy) as T};\n  };\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.tanh($x);\n        save([y]);\n        return y;\n      },\n      {x: $x}, grad, 'Tanh', {} /* attrs */, null /* inputsToSave */,\n      outputsToSave);\n}\n\n/**\n * Computes inverse hyperbolic sin of the input `tf.Tensor` element-wise:\n * `asinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asinh().print();  // or tf.asinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).add($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes the inverse hyperbolic cos of the input `tf.Tensor` element-wise:\n * `acosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([10, 1, 3, 5.7]);\n *\n * x.acosh().print();  // or tf.acosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.divStrict($x.toFloat().square().sub(1).sqrt() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes inverse hyperbolic tan of the input `tf.Tensor` element-wise:\n * `atanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.atanh().print();  // or tf.atanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div(scalar(1).sub($x.toFloat().square()))} as\n        {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atanh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes gause error function of the input `tf.Tensor` element-wise:\n * `erf(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.erf().print(); // or tf.erf(x);\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction erf_<T extends Tensor>(x: T|TensorLike): T {\n  let $x = convertToTensor(x, 'x', 'erf');\n  util.assert(\n      $x.dtype === 'int32' || $x.dtype === 'float32',\n      () => 'Input dtype must be `int32` or `float32`.');\n\n  if ($x.dtype === 'int32') {\n    $x = $x.toFloat();\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.mul($x.square().neg().exp().mul(2 / Math.sqrt(Math.PI)))\n    } as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.erf($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes step of the input `tf.Tensor` element-wise: `x > 0 ? 1 : alpha * x`\n *\n * ```js\n * const x = tf.tensor1d([0, 2, -1, -3]);\n *\n * x.step(.5).print();  // or tf.step(x, .5)\n * ```\n * @param x The input tensor.\n * @param alpha The gradient when input is negative.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction step_<T extends Tensor>(x: T|TensorLike, alpha = 0.0): T {\n  const $x = convertToTensor(x, 'x', 'step');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports\n  // it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.step($x, alpha), {$x}, grad);\n}\n\nexport const abs = op({abs_});\nexport const acos = op({acos_});\nexport const acosh = op({acosh_});\nexport const asin = op({asin_});\nexport const asinh = op({asinh_});\nexport const atan = op({atan_});\nexport const atanh = op({atanh_});\nexport const ceil = op({ceil_});\nexport const clipByValue = op({clipByValue_});\nexport const cos = op({cos_});\nexport const cosh = op({cosh_});\nexport const erf = op({erf_});\nexport const exp = op({exp_});\nexport const expm1 = op({expm1_});\nexport const floor = op({floor_});\nexport const log = op({log_});\nexport const log1p = op({log1p_});\nexport const logSigmoid = op({logSigmoid_});\nexport const neg = op({neg_});\nexport const reciprocal = op({reciprocal_});\nexport const round = op({round_});\nexport const rsqrt = op({rsqrt_});\nexport const sigmoid = op({sigmoid_});\nexport const sign = op({sign_});\nexport const isNaN = op({isNaN_});\nexport const isInf = op({isInf_});\nexport const isFinite = op({isFinite_});\nexport const sin = op({sin_});\nexport const sinh = op({sinh_});\nexport const softplus = op({softplus_});\nexport const sqrt = op({sqrt_});\nexport const step = op({step_});\nexport const tan = op({tan_});\nexport const tanh = op({tanh_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './add';\nimport * as broadcast_util from './broadcast_util';\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\nimport {neg} from './unary_ops';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B.\n *\n * Inputs must be the same shape. For broadcasting support, use add() instead.\n *\n * @param a The first Tensor to add element-wise.\n * @param b The second Tensor to add element-wise.\n */\nfunction addStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'addStrict');\n  const $b = convertToTensor(b, 'b', 'addStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in addStrict: ');\n  return $a.add($b);\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Supports broadcasting.\n *\n * We also expose `tf.subStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n *\n * ```js\n * // Broadcast subtract a with b.\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.scalar(5);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n * @param a The first `tf.Tensor` to subtract from.\n * @param b The second `tf.Tensor` to be subtracted. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction sub_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'sub');\n  let $b = convertToTensor(b, 'b', 'sub');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor) => {\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.neg().reshape($b.shape);\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc(\n             backend => backend.subtract($a, $b), {a: $a, b: $b}, der, 'Sub') as\n      T;\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.sub` instead.\n *\n * @param a The first Tensor to subtract element-wise.\n * @param b The second Tensor to subtract element-wise.\n */\nfunction subStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'subStrict');\n  const $b = convertToTensor(b, 'b', 'subStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in subStrict: ');\n  return $a.sub($b);\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Supports broadcasting.\n *\n * Given a `tf.Tensor` x and a `tf.Tensor` y, this operation computes x^y for\n * corresponding elements in x and y. The result's dtype will be the upcasted\n * type of the `base` and `exp` dtypes.\n *\n * ```js\n * const a = tf.tensor([[2, 3], [4, 5]])\n * const b = tf.tensor([[1, 2], [3, 0]]).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n *\n * ```js\n * const a = tf.tensor([[1, 2], [3, 4]])\n * const b = tf.tensor(2).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n * We also expose `powStrict` which has the same signature as this op and\n * asserts that `base` and `exp` are the same shape (does not broadcast).\n *\n * @param base The base `tf.Tensor` to pow element-wise.\n * @param exp The exponent `tf.Tensor` to pow element-wise.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction pow_<T extends Tensor>(\n    base: Tensor|TensorLike, exp: Tensor|TensorLike): T {\n  let $base = convertToTensor(base, 'base', 'pow');\n  let $exp = convertToTensor(exp, 'exp', 'pow');\n  [$base, $exp] = makeTypesMatch($base, $exp);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($base.shape, $exp.shape);\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$base, $exp, y] = saved;\n    const derBase = () => {\n      const expFloat = $exp.toFloat();\n      let res = dy.mul(expFloat.mul($base.pow(expFloat.sub(scalar(1)))));\n      const reduceAxes = broadcast_util.getReductionAxes($base.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($base.shape) as T;\n    };\n    const derExp = () => {\n      const condition = $base.greater(0);\n      const logBase = $base.log().where(condition, zerosLike($base));\n      let res = dy.mul(y.mul(logBase));\n      const reduceAxes = broadcast_util.getReductionAxes($exp.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($exp.shape);\n    };\n    return {a: derBase, b: derExp};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$base, $exp];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.pow($base, $exp);\n    save([$base, $exp, y]);\n    return y;\n  }, {a: $base, b: $exp}, grad, 'Pow', attrs, inputsToSave, outputsToSave) as T;\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.pow` instead.\n *\n * @param base The base tensor to pow element-wise.\n * @param exp The exponent tensor to pow element-wise.\n */\nfunction powStrict_<T extends Tensor>(base: T, exp: Tensor): T {\n  util.assertShapesMatch(base.shape, exp.shape, 'Error in powStrict: ');\n  return base.pow(exp);\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B. Supports broadcasting.\n *\n * We also expose `tf.mulStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([2, 3, 4, 5]);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n *\n * ```js\n * // Broadcast mul a with b.\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.scalar(5);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n * @param a The first tensor to multiply.\n * @param b The second tensor to multiply. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mul_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mul');\n  let $b = convertToTensor(b, 'b', 'mul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.mul($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      const res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.multiply($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Mul') as T;\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B.\n *\n * Inputs must be the same shape. For broadcasting support, use `tf.mul`.\n *\n * @param a The first tensor to multiply.\n * @param b The first tensor to multiply. Must have the same\n *    dtype as `a`.\n */\nfunction mulStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'mul');\n  const $b = convertToTensor(b, 'b', 'mul');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in multiplyStrict: ');\n  return $a.mul($b);\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n * The result is rounded with floor function.\n *\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.floorDiv(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.floorDiv(b).print();  // or tf.floorDiv(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction floorDiv_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'floorDiv');\n  let $b = convertToTensor(b, 'b', 'floorDiv');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.div($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes).reshape($b.shape);\n      }\n      const tmp = $b.square();\n      return res.div(tmp.toFloat()).neg();\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.floorDiv($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'FloorDiv') as T;\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Inputs must\n * be the same shape.\n *\n * @param a The first tensor as the numerator for element-wise division.\n * @param b The second tensor as the denominator for element-wise division.\n */\nfunction divStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'div');\n  const $b = convertToTensor(b, 'b', 'div');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in divideStrict: ');\n  return $a.div($b);\n}\n\n/**\n * Returns the mod of a and b element-wise.\n * `floor(x / y) * y + mod(x, y) = x`\n * Supports broadcasting.\n *\n * We also expose `tf.modStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * ```js\n * // Broadcast a mod b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mod_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mod');\n  let $b = convertToTensor(b, 'b', 'mod');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return dy.sum(reduceAxes).reshape($a.shape);\n      }\n      return dy;\n    };\n    const derB = () => {\n      const res = dy.mul($a.div($b).floor().neg());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.mod($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\n/**\n * Returns the mod of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use mod().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction modStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'modStrict');\n  const $b = convertToTensor(b, 'b', 'modStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in modStrict: ');\n  return $a.mod($b);\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `minimumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * ```js\n * // Broadcast minimum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction minimum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'minimum');\n  let $b = convertToTensor(b, 'b', 'minimum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.lessEqual($b).toFloat());\n    const derB = () => dy.mul($a.greater($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.minimum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Minimum') as T;\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use minimum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction minimumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'minimumStrict');\n  const $b = convertToTensor(b, 'b', 'minimumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in minimumStrict: ');\n  return $a.minimum($b);\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.maximumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * ```js\n * // Broadcast maximum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction maximum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'maximum');\n  let $b = convertToTensor(b, 'b', 'maximum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.greaterEqual($b).toFloat());\n    const derB = () => dy.mul($a.less($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.maximum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Maximum') as T;\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use maximum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction maximumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'maximumStrict');\n  const $b = convertToTensor(b, 'b', 'maximumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in maximumStrict: ');\n  return $a.maximum($b);\n}\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n *\n * Inputs must be the same shape. For broadcasting support, use\n * `tf.squaredDifference` instead.\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\nfunction squaredDifferenceStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'squaredDifferenceStrict');\n  const $b = convertToTensor(b, 'b', 'squaredDifferenceStrict');\n  util.assertShapesMatch(\n      $a.shape, $b.shape, 'Error in squaredDifferenceStrict: ');\n  return $a.squaredDifference($b);\n}\n\n/**\n * Computes arctangent of `tf.Tensor`s a / b element-wise: `atan2(a, b)`.\n * Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([1.0, 1.0, -1.0, .7]);\n * const b = tf.tensor1d([2.0, 13.0, 3.5, .21]);\n *\n * tf.atan2(a, b).print()\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan2_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'atan2');\n  let $b = convertToTensor(b, 'b', 'atan2');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const d = add($a.square(), $b.square());\n      let res = dy.mul($b.div(d));\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      const d = add($a.square(), $b.square());\n      let res = neg(dy.mul($a.div(d)));\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($b.shape);\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan2($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\nexport const addStrict = op({addStrict_});\nexport const atan2 = op({atan2_});\nexport const divStrict = op({divStrict_});\nexport const floorDiv = op({floorDiv_});\nexport const maximum = op({maximum_});\nexport const maximumStrict = op({maximumStrict_});\nexport const minimum = op({minimum_});\nexport const minimumStrict = op({minimumStrict_});\nexport const mod = op({mod_});\nexport const modStrict = op({modStrict_});\nexport const mul = op({mul_});\nexport const mulStrict = op({mulStrict_});\nexport const pow = op({pow_});\nexport const powStrict = op({powStrict_});\nexport const squaredDifferenceStrict = op({squaredDifferenceStrict_});\nexport const sub = op({sub_});\nexport const subStrict = op({subStrict_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Div, DivInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {floorDiv} from './binary_ops';\nimport {op} from './operation';\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction div_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'int32' && $b.dtype === 'int32') {\n    return floorDiv($a, $b);\n  }\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.realDivide($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: DivInputs = {a: $a, b: $b};\n  const attrs = {};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* gradient */, Div,\n             attrs) as T;\n}\n\nexport const div = op({div_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\nimport {computeStrides} from '../util';\n\n/**\n * Validate gather nd inputs.\n *\n * @param tensor The tensor contains the source values.\n * @param indices The tensor contains the indices to slice the source.\n *\n * @returns [resultShape, numUpdates, sliceSize, strides]\n */\nexport function prepareAndValidate(\n    tensor: Tensor, indices: Tensor): [number[], number, number, number[]] {\n  if (tensor.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the input to be rank 1 or higher,' +\n        ` but the rank was ${tensor.rank}.`);\n  }\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(\n        'tf.gatherND() expects the indices to be int32 type,' +\n        ` but the dtype was ${indices.dtype}.`);\n  }\n  if (indices.shape[indices.rank - 1] > tensor.rank) {\n    throw new Error(\n        'index innermost dimension length must be <= tensor rank; saw: ' +\n        `${indices.shape[indices.rank - 1]} vs. ${tensor.rank}`);\n  }\n\n  if (tensor.size === 0) {\n    throw new Error(\n        'Requested more than 0 entries, but input is empty.' +\n        ` Input shape: ${tensor.shape}.`);\n  }\n\n  const indicesShape = indices.shape;\n  const sliceRank = indicesShape[indicesShape.length - 1];\n\n  // The result shape is\n  //   indices.shape[:-1] + params.shape[indices.shape[-1]:]\n  let nResult = 1;\n  for (let i = 0; i < indicesShape.length - 1; ++i) {\n    nResult *= indicesShape[i];\n  }\n\n  const inputShape = tensor.shape;\n\n  const resultShape = indicesShape.slice();\n  resultShape.pop();\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < tensor.rank; ++i) {\n    sliceSize *= inputShape[i];\n    resultShape.push(inputShape[i]);\n  }\n\n  const strides =\n      [...computeStrides(tensor.shape).map(stride => stride / sliceSize),\n       1].slice(0, sliceRank);\n\n  return [resultShape, nResult, sliceSize, strides];\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inputs of size above this threshold will be parallelized by calling multiple\n * shader programs.\n */\nimport {nearestDivisor} from '../util';\n\nexport const PARALLELIZE_THRESHOLD = 30;\n\nexport interface ReduceInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n}\n\nexport function computeOptimalWindowSize(inSize: number): number {\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    return inSize;\n  }\n  return nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {TensorInfo} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {computeStrides, sizeFromShape} from '../util';\n\n/**\n * Check whether updates.shape = indices.shape[:batchDim] +\n * shape[sliceDim:]\n *\n * @param x The input tensor.\n */\nexport function validateUpdateShape(\n    shape: number[], indices: Tensor, updates: Tensor) {\n  const sliceDim = (indices.rank > 1) ? indices.shape[indices.rank - 1] : 1;\n  const batchDim = (indices.rank > 1) ? indices.rank - 1 : 1;\n\n  const shapeError = 'Must have updates.shape = indices.shape[:batchDim] + ' +\n      `shape[sliceDim:], got updates.shape: ${updates.shape}` +\n      `, indices.shape: ${indices.shape}, shape: ${shape}` +\n      `, sliceDim: ${sliceDim}, and batchDim: ${batchDim}.`;\n\n  if (updates.rank < batchDim) {\n    throw new Error(shapeError + ` update.rank < ${batchDim}. `);\n  }\n  if (shape.length < sliceDim + (updates.rank - batchDim)) {\n    throw new Error(\n        shapeError +\n        ` Output shape length < ${sliceDim + (updates.rank - batchDim)}`);\n  }\n  if (updates.rank !== batchDim + shape.length - sliceDim) {\n    throw new Error(\n        shapeError + ` update.rank != ${batchDim + shape.length - sliceDim}`);\n  }\n  for (let d = 0; d < batchDim; ++d) {\n    if (updates.shape[d] !== indices.shape[d]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d}] (${updates.shape[d]}) != indices.shape[${d}] (${\n              indices.shape[d]}).`);\n    }\n  }\n  for (let d = 0; d < updates.rank - batchDim; ++d) {\n    if (updates.shape[d + batchDim] !== shape[d + sliceDim]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d + batchDim}] (${\n              updates.shape[d + batchDim]}) != shape[${d + batchDim}] (${\n              shape[d + batchDim]})`);\n    }\n  }\n}\n\nexport interface ScatterShapeInfo {\n  sliceRank: number;\n  numUpdates: number;\n  sliceSize: number;\n  strides: number[];\n  outputSize: number;\n}\n/**\n * Validate scatter nd inputs.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n */\nexport function validateInput(\n    updates: Tensor, indices: Tensor, shape: number[]) {\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (updates.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the updates to be rank 1 or higher,' +\n        ` but the rank was ${updates.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(`The dtype of 'indices' should be int32, but got dtype: ${\n        indices.dtype}`);\n  }\n  if (shape.length < 1) {\n    throw new Error(\n        `Output rank must be greater or equal to 1, but got shape: ${shape}`);\n  }\n\n  if (shape.length === 0) {\n    if (indices.size === 0) {\n      throw new Error(`Indices specified for empty output. indices shape: ${\n          indices.shape}`);\n    }\n    if (updates.size === 0) {\n      throw new Error(`Updates specified for empty output. updates shape: ${\n          updates.shape}`);\n    }\n  }\n\n  validateUpdateShape(shape, indices, updates);\n}\n\n/**\n * Calculate the shape information for the output.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n *\n * @returns ScatterShapeInfo\n */\nexport function calculateShapes(\n    updates: TensorInfo, indices: TensorInfo,\n    shape: number[]): ScatterShapeInfo {\n  // Calculate the number of dimensions in indices\n  const indicesRank = indices.shape.length;\n  const sliceRank = (indicesRank > 1) ? indices.shape[indicesRank - 1] : 1;\n\n  // Calculate the number of elements that make up each slice of our updated\n  // tensor. This allows us to work with flattened tensors and copy over whole\n  // slices at a time.\n  const totalNd = shape.length;\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < totalNd; ++i) {\n    sliceSize *= shape[i];\n  }\n\n  const safeSliceDim = (sliceRank < 1) ? 1 : sliceRank;\n  const numUpdates = sizeFromShape(indices.shape) / safeSliceDim;\n\n  const strides = [...computeStrides(shape.slice(0, sliceRank)), 1];\n  const outputSize = sizeFromShape(shape);\n  return {sliceRank, numUpdates, sliceSize, strides, outputSize};\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\nexport function assertParamsValid(\n    input: Tensor, begin: number[], size: number[]): void {\n  util.assert(\n      input.rank === begin.length,\n      () => `Error in slice${input.rank}D: Length of begin ${begin} must ` +\n          `match the rank of the array (${input.rank}).`);\n  util.assert(\n      input.rank === size.length,\n      () => `Error in slice${input.rank}D: Length of size ${size} must ` +\n          `match the rank of the array (${input.rank}).`);\n\n  for (let i = 0; i < input.rank; ++i) {\n    util.assert(\n        begin[i] + size[i] <= input.shape[i],\n        () => `Error in slice${input.rank}D: begin[${i}] + size[${i}] ` +\n            `(${begin[i] + size[i]}) would overflow input.shape[${i}] (${\n                  input.shape[i]})`);\n  }\n}\n\n/** Converts a binary mask to an array of axes. Used in stridedSlice(). */\nexport function maskToAxes(mask: number): number[] {\n  const axes = [];\n  let axis = 0;\n  while (mask > 0) {\n    if (mask & 1) {\n      axes.push(axis);\n    }\n    mask /= 2;\n    axis++;\n  }\n  return axes;\n}\n\n/** Computes the output shape given the strided slice params. */\nexport function computeOutShape(\n    begin: number[], end: number[], strides: number[]): number[] {\n  const size = [];\n  for (let axis = 0; axis < begin.length; axis++) {\n    size[axis] = Math.ceil((end[axis] - begin[axis]) / strides[axis]);\n  }\n  return size;\n}\n\nexport function startForAxis(\n    beginMask: number, startIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let start = startIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of beginMask or the begin index is not set\n  // for the axis.\n  if (beginMask & 1 << axis || start == null) {\n    if (stride > 0) {\n      // Forward iteration - use the first element. These values will get\n      // clamped below (Note: We could have set them to 0 and axis_size-1, but\n      // use lowest() and max() to maintain symmetry with StopForAxis())\n      start = Number.MIN_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the last element.\n      start = Number.MAX_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (start < 0) {\n    start += axisSize;\n  }\n\n  // Clamping\n  start = util.clamp(0, start, axisSize - 1);\n\n  return start;\n}\n\nexport function stopForAxis(\n    endMask: number, stopIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let stop = stopIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of endMask or if the stop index is not set\n  // for this axis.\n  if (endMask & (1 << axis) || stop == null) {\n    if (stride > 0) {\n      // Forward iteration - use the last element. These values will get\n      // clamped below\n      stop = Number.MAX_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the first element.\n      stop = Number.MIN_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (stop < 0) {\n    stop += axisSize;\n  }\n\n  // Clamping\n  // Because the end index points one past the last element, we need slightly\n  // different clamping ranges depending on the direction.\n  if (stride > 0) {\n    // Forward iteration\n    stop = util.clamp(0, stop, axisSize);\n  } else {\n    // Backward iteration\n    stop = util.clamp(-1, stop, axisSize - 1);\n  }\n\n  return stop;\n}\n\n/**\n * Returns true if the slice occupies a continous set of elements in the\n * 'flat' space.\n */\nexport function isSliceContinous(\n    shape: number[], begin: number[], size: number[]) {\n  // Index of the first axis that has size > 1.\n  let firstNonOneAxis = size.length;\n  for (let i = 0; i < size.length; i++) {\n    if (size[i] > 1) {\n      firstNonOneAxis = i;\n      break;\n    }\n  }\n\n  for (let i = firstNonOneAxis + 1; i < size.length; i++) {\n    if (begin[i] > 0 || size[i] !== shape[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function computeFlatOffset(begin: number[], strides: number[]): number {\n  let flatOffset = begin.length > 0 ? begin[begin.length - 1] : 1;\n  for (let i = 0; i < begin.length - 1; i++) {\n    flatOffset += begin[i] * strides[i];\n  }\n  return flatOffset;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {CustomGradientFunc, ENGINE} from './engine';\nimport {Scalar, Tensor, Variable} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {convertToTensor, convertToTensorArray} from './tensor_util_env';\nimport {TensorLike} from './types';\nimport * as util from './util';\n\n/**\n * Provided `f(x)`, returns another function `g(x, dy?)`, which gives the\n * gradient of `f(x)` with respect to `x`.\n *\n * If `dy` is provided, the gradient of `f(x).mul(dy).sum()` with respect to\n * `x` is computed instead. `f(x)` must take a single tensor `x` and return a\n * single tensor `y`. If `f()` takes multiple inputs, use `tf.grads` instead.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.grad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * g(x).print();\n * ```\n *\n * ```js\n * // f(x) = x ^ 3\n * const f = x => x.pow(tf.scalar(3, 'int32'));\n * // f'(x) = 3x ^ 2\n * const g = tf.grad(f);\n * // f''(x) = 6x\n * const gg = tf.grad(g);\n *\n * const x = tf.tensor1d([2, 3]);\n * gg(x).print();\n * ```\n *\n * @param f The function f(x), to compute gradient for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grad(f: (x: Tensor) => Tensor): (\n    x: TensorLike|Tensor, dy?: TensorLike|Tensor) => Tensor {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grad(f) must be a function');\n  return (x: TensorLike|Tensor, dy?: TensorLike|Tensor): Tensor => {\n    // x can be of any dtype, thus null as the last argument.\n    const $x = convertToTensor(x, 'x', 'tf.grad', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grad') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f($x), [$x], $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grad(f)(x, dy) must match the shape ' +\n                'returned by f(x)');\n      }\n      checkGrads(grads);\n      return grads[0];\n    });\n  };\n}\n\n/**\n * Provided `f(x1, x2,...)`, returns another function `g([x1, x2,...], dy?)`,\n * which gives an array of gradients of `f()` with respect to each input\n * [`x1`,`x2`,...].\n *\n * If `dy` is passed when calling `g()`, the gradient of\n * `f(x1,...).mul(dy).sum()` with respect to each input is computed instead.\n * The provided `f` must take one or more tensors and return a single tensor\n * `y`. If `f()` takes a single input, we recommend using `tf.grad` instead.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df / da = b, df / db = a\n * const g = tf.grads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const [da, db] = g([a, b]);\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n *\n * @param f The function `f(x1, x2,...)` to compute gradients for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grads(f: (...args: Tensor[]) => Tensor): (\n    args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike) => Tensor[] {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grads(f) must be a function');\n  return (args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike): Tensor[] => {\n    util.assert(\n        Array.isArray(args),\n        () => 'The args passed in grads(f)(args) must be an array ' +\n            'of `Tensor`s or `TensorLike`s');\n    // args can be of any dtype, thus null as the last argument.\n    const $args = convertToTensorArray(args, 'args', 'tf.grads', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grads') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f(...$args), $args, $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grads(f)([x1,...], dy) must ' +\n                'match the shape returned by f([x1,...])');\n      }\n      checkGrads(grads);\n      return grads;\n    });\n  };\n}\n\n/**\n * Like `tf.grad`, but also returns the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grad: The gradient of `f(x)` w.r.t `x` (result of `tf.grad`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.valueAndGrad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * const {value, grad} = g(x);\n *\n * console.log('value');\n * value.print();\n * console.log('grad');\n * grad.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrad<I extends Tensor, O extends Tensor>(f: (x: I) => O): (\n    x: I, dy?: O) => {\n  value: O;\n  grad: I;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrad(f) must be a function');\n  return (x: I, dy?: O) => {\n    util.assert(\n        x instanceof Tensor,\n        () => 'The x passed in valueAndGrad(f)(x) must be a tensor');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrad(f)(x, dy) must be a tensor');\n    const {grads, value} = ENGINE.gradients(() => f(x), [x], dy);\n    checkGrads(grads);\n    return {grad: grads[0] as I, value};\n  };\n}\n\n/**\n * Like `tf.grads`, but returns also the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grads: The gradients of `f()` w.r.t each input (result of `tf.grads`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df/da = b, df/db = a\n * const g = tf.valueAndGrads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const {value, grads} = g([a, b]);\n *\n * const [da, db] = grads;\n *\n * console.log('value');\n * value.print();\n *\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrads<O extends Tensor>(f: (...args: Tensor[]) => O): (\n    args: Tensor[], dy?: O) => {\n  grads: Tensor[];\n  value: O;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrads(f) must be a function');\n  return (args: Tensor[], dy?: O) => {\n    util.assert(\n        Array.isArray(args) && args.every(arg => arg instanceof Tensor),\n        () => 'The args passed in valueAndGrads(f)(args) must be array of ' +\n            'tensors');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrads(f)(args, dy) must be a tensor');\n    const res = ENGINE.gradients(() => f(...args), args, dy);\n    if (dy != null) {\n      util.assertShapesMatch(\n          res.value.shape, dy.shape,\n          'The shape of dy passed in valueAndGrads(f)([x1,...], dy) must ' +\n              'match the shape returned by f([x1,...])');\n    }\n    checkGrads(res.grads);\n    return res;\n  };\n}\n\n/**\n * Computes and returns the gradient of f(x) with respect to the list of\n * trainable variables provided by `varList`. If no list is provided, it\n * defaults to all trainable variables.\n *\n * ```js\n * const a = tf.variable(tf.tensor1d([3, 4]));\n * const b = tf.variable(tf.tensor1d([5, 6]));\n * const x = tf.tensor1d([1, 2]);\n *\n * // f(a, b) = a * x ^ 2 + b * x\n * const f = () => a.mul(x.square()).add(b.mul(x)).sum();\n * // df/da = x ^ 2, df/db = x\n * const {value, grads} = tf.variableGrads(f);\n *\n * Object.keys(grads).forEach(varName => grads[varName].print());\n * ```\n *\n * @param f The function to execute. f() should return a scalar.\n * @param varList The list of variables to compute the gradients with respect\n *     to. Defaults to all trainable variables.\n * @returns An object with the following keys and values:\n *   - `value`: The value of the function `f`.\n *   - `grads`: A map from the names of the variables to the gradients.\n *     If the `varList` argument is provided explicitly and contains a subset of\n *     non-trainable variables, this map in the return value will contain keys\n *     that map the names of the non-trainable variables to `null`.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction variableGrads(f: () => Scalar, varList?: Variable[]):\n    {value: Scalar, grads: NamedTensorMap} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in variableGrads(f) must be a function');\n  util.assert(\n      varList == null ||\n          Array.isArray(varList) && varList.every(v => v instanceof Variable),\n      () =>\n          'The varList passed in variableGrads(f, varList) must be an array ' +\n          'of variables');\n\n  const specifiedVarList = varList != null;\n  if (!specifiedVarList) {\n    // Get all of the trainable variables.\n    varList = [];\n    for (const varName in ENGINE.registeredVariables) {\n      varList.push(ENGINE.registeredVariables[varName]);\n    }\n  }\n\n  const specifiedNonTrainable: Variable[] =\n      specifiedVarList ? varList.filter(variable => !variable.trainable) : null;\n\n  // Prune non-trainable variables.\n  const originalVarCount = varList.length;\n  varList = varList.filter(variable => variable.trainable);\n  util.assert(\n      varList.length > 0,\n      () => `variableGrads() expects at least one of the input variables to ` +\n          `be trainable, but none of the ${originalVarCount} variables is ` +\n          `trainable.`);\n\n  const allowNoGradients = true;\n  const {value, grads} = ENGINE.gradients(f, varList, null, allowNoGradients);\n\n  util.assert(\n      grads.some(g => g != null),\n      () => 'Cannot find a connection between any variable and the result of ' +\n          'the loss function y=f(x). Please make sure the operations that ' +\n          'use variables are inside the function f passed to minimize().');\n  util.assert(\n      value.rank === 0,\n      () => `The f passed in variableGrads(f) must return a scalar, but it ` +\n          `returned a rank-${value.rank} tensor`);\n\n  const namedGrads: NamedTensorMap = {};\n  varList.forEach((v, i) => {\n    if (grads[i] != null) {\n      namedGrads[v.name] = grads[i];\n    }\n  });\n  if (specifiedNonTrainable != null) {\n    // If varList is explicitly provided and contains non-trainable values,\n    // add them to the returned gradients with `null` values.\n    specifiedNonTrainable.forEach(v => namedGrads[v.name] = null);\n  }\n  return {value, grads: namedGrads};\n}\n\n/**\n * Overrides the gradient computation of a function `f`.\n *\n * Takes a function\n * `f(...inputs, save) => {value: Tensor, gradFunc: (dy, saved) => Tensor[]}`\n * and returns another function `g(...inputs)` which takes the same inputs as\n * `f`. When called, `g` returns `f().value`. In backward mode, custom gradients\n * with respect to each input of `f` are computed using `f().gradFunc`.\n *\n * The `save` function passsed to `f` should be used for saving tensors needed\n * in the gradient. And the `saved` passed to the `gradFunc` is a\n * `NamedTensorMap`, which contains those saved tensor.\n *\n * ```js\n * const customOp = tf.customGrad((x, save) => {\n *   // Save x to make sure it's available later for the gradient.\n *   save([x]);\n *   // Override gradient of our custom x ^ 2 op to be dy * abs(x);\n *   return {\n *     value: x.square(),\n *     // Note `saved.x` which points to the `x` we saved earlier.\n *     gradFunc: (dy, saved) => [dy.mul(saved[0].abs())]\n *   };\n * });\n *\n * const x = tf.tensor1d([-1, -2, 3]);\n * const dx = tf.grad(x => customOp(x));\n *\n * console.log(`f(x):`);\n * customOp(x).print();\n * console.log(`f'(x):`);\n * dx(x).print();\n * ```\n *\n * @param f The function to evaluate in forward mode, which should return\n *     `{value: Tensor, gradFunc: (dy, saved) => Tensor[]}`, where `gradFunc`\n *     returns the custom gradients of `f` with respect to its inputs.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n    (...args: Tensor[]) => T {\n  return ENGINE.customGrad(f);\n}\n\nfunction checkGrads(grads: Tensor[]) {\n  const numNullGradients = grads.filter(g => g == null).length;\n  if (numNullGradients > 0) {\n    throw new Error(\n        `Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.`);\n  }\n}\n\nexport {\n  customGrad,\n  variableGrads,\n  valueAndGrad,\n  valueAndGrads,\n  grad,\n  grads,\n};\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Computes the softmax normalized vector given the logits.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction softmax_<T extends Tensor>(logits: T|TensorLike, dim = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'softmax', 'float32');\n\n  if (dim === -1) {\n    dim = $logits.rank - 1;\n  }\n  if (dim !== $logits.rank - 1) {\n    throw Error(\n        'Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and dim was ${dim}`);\n  }\n\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.softmax($logits, dim);\n        save([y]);\n        return y;\n      },\n      {logits: $logits},\n      (dy: T, saved: Tensor[]) => {\n        const [y] = saved;\n        const dyTimesY = dy.mul(y);\n        const keepDims = true;\n\n        return {\n          logits: () => dyTimesY.sub(dyTimesY.sum([dim], keepDims).mul(y))\n        };\n      },\n      'Softmax', {dim}, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes the log softmax.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param axis The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction logSoftmax_<T extends Tensor>(logits: T|TensorLike, axis = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'logSoftmax');\n\n  if (axis === -1) {\n    axis = $logits.rank - 1;\n  }\n  if (axis !== $logits.rank - 1) {\n    throw Error(\n        'Log Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and axis was ${axis}`);\n  }\n\n  const customOp = customGrad((logits: Tensor, save: GradSaveFunc) => {\n    const keepDims = true;\n    const xMax = logits.max(axis, true);\n    const shifted = logits.sub(xMax);\n    const value =\n        shifted.toFloat().sub(shifted.exp().sum(axis, keepDims).log());\n    save([value]);\n    const gradFunc = (dy: T, saved: Tensor[]) => {\n      const [value] = saved;\n      const softmax = value.exp();\n      return dy.sub(dy.sum(axis, keepDims).mul(softmax));\n    };\n\n    return {value, gradFunc};\n  });\n\n  return customOp($logits) as T;\n}\n\nexport const softmax = op({softmax_});\nexport const logSoftmax = op({logSoftmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.\n *\n * The returned `tf.Tensor`'s dimension `i` will correspond to the input\n * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,\n * where `n` is the rank of the input `tf.Tensor`. Hence by default, this\n * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n *\n * a.transpose().print();  // or tf.transpose(a)\n * ```\n *\n * @param x The tensor to transpose.\n * @param perm The permutation of the dimensions of a.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction transpose_<T extends Tensor>(x: T|TensorLike, perm?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'transpose');\n\n  if (perm == null) {\n    perm = $x.shape.map((s, i) => i).reverse();\n  }\n  util.assert(\n      $x.rank === perm.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of perm ${perm}.`);\n  perm.forEach(axis => {\n    util.assert(\n        axis >= 0 && axis < $x.rank,\n        () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` +\n            ` but got ${perm}`);\n  });\n\n  if ($x.rank <= 1) {\n    return $x.clone();\n  }\n\n  const attrs = {perm};\n  return ENGINE.runKernelFunc(\n      backend => backend.transpose($x, perm), {x: $x}, null /* gradient */,\n      'Transpose', attrs);\n}\n\nexport const transpose = op({transpose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../ops/conv_util';\nimport {FusedBatchMatMulConfig, FusedConv2DConfig} from '../ops/fused_util';\nimport {Backend, DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {BackendValues, DataType, Rank, ShapeMap} from '../types';\n\nexport const EPSILON_FLOAT32 = 1e-7;\nexport const EPSILON_FLOAT16 = 1e-4;\n\n// Required information for all backends.\nexport interface BackendTimingInfo {\n  kernelMs: number|{error: string};\n  getExtraProfileInfo?(): string;  // a field for additional timing information\n                                   // e.g. packing / unpacking for WebGL backend\n}\n\nexport interface TensorStorage {\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n  disposeData(dataId: DataId): void;\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId;\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void;\n  memory(): {unreliable: boolean;};  // Backend-specific information.\n  /** Returns number of data ids currently in the storage. */\n  numDataIds(): number;\n}\n\n/** Convenient class for storing tensor-related data. */\nexport class DataStorage<T> {\n  private data = new WeakMap<DataId, T>();\n  private dataIdsCount = 0;\n\n  constructor(private backend: KernelBackend, private dataMover: DataMover) {}\n\n  get(dataId: DataId) {\n    if (!this.data.has(dataId)) {\n      this.dataMover.moveData(this.backend, dataId);\n    }\n    return this.data.get(dataId);\n  }\n\n  set(dataId: DataId, value: T): void {\n    this.dataIdsCount++;\n    this.data.set(dataId, value);\n  }\n\n  has(dataId: DataId): boolean {\n    return this.data.has(dataId);\n  }\n\n  delete(dataId: DataId): boolean {\n    this.dataIdsCount--;\n    return this.data.delete(dataId);\n  }\n\n  numDataIds(): number {\n    return this.dataIdsCount;\n  }\n}\n\nexport interface DataMover {\n  /**\n   * To be called by backends whenever they see a dataId that they don't own.\n   * Upon calling this method, the mover will fetch the tensor from another\n   * backend and register it with the current active backend.\n   */\n  moveData(backend: KernelBackend, dataId: DataId): void;\n}\n\nexport interface BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo>;\n}\n\n/**\n * The interface that defines the kernels that should be implemented when\n * adding a new backend. New backends don't need to implement every one of the\n * methods, this can be done gradually (throw an error for unimplemented\n * methods).\n */\nexport class KernelBackend implements TensorStorage, Backend, BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo> {\n    return notYetImplemented('time');\n  }\n  read(dataId: object): Promise<BackendValues> {\n    return notYetImplemented('read');\n  }\n  readSync(dataId: object): BackendValues {\n    return notYetImplemented('readSync');\n  }\n  numDataIds(): number {\n    return notYetImplemented('numDataIds');\n  }\n  disposeData(dataId: object): void {\n    return notYetImplemented('disposeData');\n  }\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    return notYetImplemented('write');\n  }\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    return notYetImplemented('move');\n  }\n  memory(): {unreliable: boolean; reasons?: string[]} {\n    return notYetImplemented('memory');\n  }\n  /** Returns the highest precision for floats in bits (e.g. 16 or 32) */\n  floatPrecision(): 16|32 {\n    return notYetImplemented('floatPrecision');\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    return notYetImplemented('batchMatMul');\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    return notYetImplemented('fusedBatchMatMul');\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    return notYetImplemented('slice');\n  }\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    return notYetImplemented('stridedSlice');\n  }\n  unstack(x: Tensor, axis: number): Tensor[] {\n    return notYetImplemented('unstack');\n  }\n  reverse<T extends Tensor>(a: T, axis: number[]): T {\n    return notYetImplemented('reverse');\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    return notYetImplemented('concat');\n  }\n\n  neg<T extends Tensor>(a: T): T {\n    return notYetImplemented('neg');\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('add');\n  }\n  addN<T extends Tensor>(tensors: T[]): T {\n    return notYetImplemented('addN');\n  }\n  subtract(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('subtract');\n  }\n  multiply(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('multiply');\n  }\n  realDivide(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('realDivide');\n  }\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('floorDiv');\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('sum');\n  }\n  prod(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('prod');\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    return notYetImplemented('unsortedSegmentSum');\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMin');\n  }\n  argMax(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMax');\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('equal');\n  }\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('notEqual');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('less');\n  }\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('lessEqual');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greater');\n  }\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greaterEqual');\n  }\n\n  logicalNot<T extends Tensor>(a: T): T {\n    return notYetImplemented('logicalNot');\n  }\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalAnd');\n  }\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalOr');\n  }\n\n  where(condition: Tensor): Tensor2D {\n    return notYetImplemented('where');\n  }\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('select');\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    return notYetImplemented('topk');\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('min');\n  }\n  minimum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('minimum');\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('mod');\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('max');\n  }\n  maximum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('maximum');\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('all');\n  }\n  any(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('any');\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('squaredDifference');\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    return notYetImplemented('ceil');\n  }\n  floor<T extends Tensor>(x: T): T {\n    return notYetImplemented('floor');\n  }\n  round<T extends Tensor>(x: T): T {\n    return notYetImplemented('round');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    return notYetImplemented('sign');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    return notYetImplemented('isNaN');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    return notYetImplemented('isInf');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    return notYetImplemented('isFinite');\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    return notYetImplemented('pow');\n  }\n  exp<T extends Tensor>(x: T): T {\n    return notYetImplemented('exp');\n  }\n  expm1<T extends Tensor>(x: T): T {\n    return notYetImplemented('expm1');\n  }\n  softmax<T extends Tensor>(x: T, dim: number): T {\n    return notYetImplemented('softmax');\n  }\n  log<T extends Tensor>(x: T): T {\n    return notYetImplemented('log');\n  }\n  log1p<T extends Tensor>(x: T): T {\n    return notYetImplemented('log1p');\n  }\n  sqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('sqrt');\n  }\n  rsqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('rsqrt');\n  }\n  square<T extends Tensor>(x: T): T {\n    return notYetImplemented('square');\n  }\n  reciprocal<T extends Tensor>(x: T): T {\n    return notYetImplemented('reciprocal');\n  }\n  relu<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu');\n  }\n  relu6<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu6');\n  }\n  prelu<T extends Tensor>(x: T, a: T): T {\n    return notYetImplemented('prelu');\n  }\n  elu<T extends Tensor>(x: T): T {\n    return notYetImplemented('elu');\n  }\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    return notYetImplemented('eluDer');\n  }\n  selu<T extends Tensor>(x: T): T {\n    return notYetImplemented('selu');\n  }\n  int<T extends Tensor>(x: T): T {\n    return notYetImplemented('int');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    return notYetImplemented('clip');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    return notYetImplemented('abs');\n  }\n  complexAbs<T extends Tensor>(x: T): T {\n    return notYetImplemented('complexAbs');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    return notYetImplemented('sigmoid');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    return notYetImplemented('softplus');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    return notYetImplemented('sin');\n  }\n  cos<T extends Tensor>(x: T): T {\n    return notYetImplemented('cos');\n  }\n  tan<T extends Tensor>(x: T): T {\n    return notYetImplemented('tan');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    return notYetImplemented('asin');\n  }\n  acos<T extends Tensor>(x: T): T {\n    return notYetImplemented('acos');\n  }\n  atan<T extends Tensor>(x: T): T {\n    return notYetImplemented('atan');\n  }\n  atan2<T extends Tensor>(a: T, b: T): T {\n    return notYetImplemented('atan2');\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('sinh');\n  }\n  cosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('cosh');\n  }\n  tanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('tanh');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('asinh');\n  }\n  acosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('acosh');\n  }\n  atanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('atanh');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    return notYetImplemented('erf');\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    return notYetImplemented('step');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedConv2d');\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2d');\n  }\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('conv2dDerInput');\n  }\n  conv2dDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2dDerFilter');\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedDepthwiseConv2D');\n  }\n\n  depthwiseConv2D(input: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2D');\n  }\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerInput');\n  }\n  depthwiseConv2DDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerFilter');\n  }\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3d');\n  }\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    return notYetImplemented('conv3dDerInput');\n  }\n  conv3dDerFilter(x: Tensor5D, dY: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3dDerFilter');\n  }\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('maxPool');\n  }\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('maxPoolBackprop');\n  }\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPool');\n  }\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPoolBackprop');\n  }\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3d');\n  }\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3dBackprop');\n  }\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3d');\n  }\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3dBackprop');\n  }\n\n  reshape<T extends Tensor, R extends Rank>(x: T, shape: ShapeMap[R]):\n      Tensor<R> {\n    return notYetImplemented('reshape');\n  }\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return notYetImplemented('cast');\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    return notYetImplemented('tile');\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    return notYetImplemented('pad');\n  }\n\n  transpose<T extends Tensor>(x: T, perm: number[]): T {\n    return notYetImplemented('transpose');\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    return notYetImplemented('gather');\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    return notYetImplemented('gatherND');\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return notYetImplemented('scatterND');\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    return notYetImplemented('batchToSpaceND');\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T {\n    return notYetImplemented('spaceToBatchND');\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeBilinear');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    return notYetImplemented('resizeBilinearBackprop');\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHEight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighbor');\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighborBackprop');\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    return notYetImplemented('batchNormalization');\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    return notYetImplemented('localResponseNormalization4D');\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D, radius: number,\n      bias: number, alpha: number, beta: number): Tensor4D {\n    return notYetImplemented('LRNGrad');\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    return notYetImplemented('multinomial');\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    return notYetImplemented('oneHot');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    return notYetImplemented('cumsum');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold?: number): Tensor1D {\n    return notYetImplemented('nonMaxSuppression');\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('fft');\n  }\n  ifft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('ifft');\n  }\n  complex<T extends Tensor>(real: T, imag: T): T {\n    return notYetImplemented('complex');\n  }\n  real<T extends Tensor>(input: T): T {\n    return notYetImplemented('real');\n  }\n  imag<T extends Tensor>(input: T): T {\n    return notYetImplemented('imag');\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    return notYetImplemented('cropAndResize');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D {\n    return notYetImplemented('depthToSpace');\n  }\n\n  // Aligns with the \"SplitV\" kernel in TensorFlow.\n  split<T extends Tensor>(value: T, sizeSplits: number[], axis: number): T[] {\n    return notYetImplemented('split');\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    return notYetImplemented('sparseToDense');\n  }\n\n  diag(x: Tensor): Tensor {\n    return notYetImplemented('diag');\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    return notYetImplemented('fill');\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('onesLike');\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('zerosLike');\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return notYetImplemented('linspace');\n  }\n\n  dispose(): void {\n    return notYetImplemented('dispose');\n  }\n}\n\nfunction notYetImplemented(kernelName: string): never {\n  throw new Error(\n      `'${kernelName}' not yet implemented or not found in the registry. ` +\n      `Did you forget to import the kernel?`);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\ntype PadType = 'SAME'|'VALID'|'NUMBER';\n\nexport type PadInfo = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  type: PadType\n};\n\nexport type PadInfo3D = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  front: number,\n  back: number,\n  type: PadType\n};\n\n/**\n * Information about the forward pass of a convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv2DInfo = {\n  batchSize: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideHeight: number,\n  strideWidth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo,\n  inShape: [number, number, number, number],\n  outShape: [number, number, number, number],\n  filterShape: [number, number, number, number]\n};\n\nexport function computePool2DInfo(\n    inShape: [number, number, number, number],\n    filterSize: [number, number]|number, strides: number|[number, number],\n    dilations: number|[number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  const [filterHeight, filterWidth] = parseTupleParam(filterSize);\n\n  let filterShape: [number, number, number, number];\n  if (dataFormat === 'channelsLast') {\n    filterShape = [filterHeight, filterWidth, inShape[3], inShape[3]];\n  } else if (dataFormat === 'channelsFirst') {\n    filterShape = [filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv2DInfo(\n      inShape, filterShape, strides, dilations, pad, roundingMode, false,\n      dataFormat);\n}\n\n/**\n * Computes the information for a forward pass of a pooling3D operation.\n */\nexport function computePool3DInfo(\n    inShape: [number, number, number, number, number],\n    filterSize: number|[number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC'): Conv3DInfo {\n  const [filterDepth, filterHeight, filterWidth] = parse3TupleParam(filterSize);\n\n  let filterShape: [number, number, number, number, number];\n  let $dataFormat: 'channelsFirst'|'channelsLast';\n  if (dataFormat === 'NDHWC') {\n    $dataFormat = 'channelsLast';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[4], inShape[4]];\n  } else if (dataFormat === 'NCDHW') {\n    $dataFormat = 'channelsFirst';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv3DInfo(\n      inShape, filterShape, strides, dilations, pad, false, $dataFormat,\n      roundingMode);\n}\n\n/**\n * Computes the information for a forward pass of a convolution/pooling\n * operation.\n */\nexport function computeConv2DInfo(\n    inShape: [number, number, number, number],\n    filterShape: [number, number, number, number],\n    strides: number|[number, number], dilations: number|[number, number],\n    pad: 'same'|'valid'|number, roundingMode?: 'floor'|'round'|'ceil',\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  let [batchSize, inHeight, inWidth, inChannels] = [-1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterHeight, filterWidth, , filterChannels] = filterShape;\n  const [strideHeight, strideWidth] = parseTupleParam(strides);\n  const [dilationHeight, dilationWidth] = parseTupleParam(dilations);\n\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outHeight, outWidth} = getPadAndOutInfo(\n      pad, inHeight, inWidth, strideHeight, strideWidth, effectiveFilterHeight,\n      effectiveFilterWidth, roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inHeight,\n    inWidth,\n    inChannels,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideHeight,\n    strideWidth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\n/**\n * Information about the forward pass of a 3D convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv3DInfo = {\n  batchSize: number,\n  inDepth: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideDepth: number,\n  strideHeight: number,\n  strideWidth: number,\n  dilationDepth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterDepth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterDepth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo3D,\n  inShape: [number, number, number, number, number],\n  outShape: [number, number, number, number, number],\n  filterShape: [number, number, number, number, number]\n};\n\n/**\n * Computes the information for a forward pass of a 3D convolution/pooling\n * operation.\n */\nexport function computeConv3DInfo(\n    inShape: [number, number, number, number, number],\n    filterShape: [number, number, number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast',\n    roundingMode?: 'floor'|'round'|'ceil'): Conv3DInfo {\n  let [batchSize, inDepth, inHeight, inWidth, inChannels] =\n      [-1, -1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inDepth, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inDepth, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterDepth, filterHeight, filterWidth, , filterChannels] =\n      filterShape;\n  const [strideDepth, strideHeight, strideWidth] = parse3TupleParam(strides);\n  const [dilationDepth, dilationHeight, dilationWidth] =\n      parse3TupleParam(dilations);\n\n  const effectiveFilterDepth =\n      getEffectiveFilterSize(filterDepth, dilationDepth);\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outDepth, outHeight, outWidth} = get3DPadAndOutInfo(\n      pad, inDepth, inHeight, inWidth, strideDepth, strideHeight, strideWidth,\n      effectiveFilterDepth, effectiveFilterHeight, effectiveFilterWidth,\n      roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outDepth, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outDepth, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inDepth,\n    inHeight,\n    inWidth,\n    inChannels,\n    outDepth,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideDepth,\n    strideHeight,\n    strideWidth,\n    filterDepth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterDepth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationDepth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\nfunction computeOutputShape2D(\n    inShape: [number, number], fieldSize: number, stride: number,\n    zeroPad?: number, roundingMode?: 'floor'|'round'|'ceil'): [number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputRows = inShape[0];\n  const inputCols = inShape[1];\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputRows, outputCols];\n}\n\nfunction computeOutputShape4D(\n    inShape: [number, number, number, number], fieldSize: number,\n    outChannels: number, stride: number, zeroPad?: number,\n    roundingMode?: 'floor'|'round'|'ceil'): [number, number, number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputDepth = inShape[0];\n  const inputRows = inShape[1];\n  const inputCols = inShape[2];\n\n  const outputDepths = conditionalRound(\n      (inputDepth - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputDepths),\n      () => `The output # of depths (${outputDepths}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputDepths, outputRows, outputCols, outChannels];\n}\n\nexport function computeDefaultPad(\n    inputShape: [number, number]|[number, number, number, number],\n    fieldSize: number, stride: number, dilation = 1): number {\n  const effectiveFieldSize = getEffectiveFilterSize(fieldSize, dilation);\n  return Math.floor(\n      (inputShape[0] * (stride - 1) - stride + effectiveFieldSize) / 2);\n}\n\nfunction parseTupleParam(param: number|number[]): [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param as [number, number, number];\n}\n\nfunction parse3TupleParam(param: number|[number, number, number]):\n    [number, number, number] {\n  return typeof param === 'number' ? [param, param, param] : param;\n}\n\n/* See https://www.tensorflow.org/api_docs/python/tf/nn/atrous_conv2d\n * Atrous convolution is equivalent to standard convolution with upsampled\n * filters with effective_filter_height =\n * filter_height + (filter_height - 1) * (dilation - 1)\n * and effective_filter_width =\n * filter_width + (filter_width - 1) * (dilation - 1),\n * produced by inserting dilation - 1 zeros along consecutive elements across\n * the filters' spatial dimensions.\n * When there is a dilation, this converts a filter dimension to the\n * effective filter dimension, so it can be used in a standard convolution.\n */\nfunction getEffectiveFilterSize(filterSize: number, dilation: number) {\n  if (dilation <= 1) {\n    return filterSize;\n  }\n\n  return filterSize + (filterSize - 1) * (dilation - 1);\n}\n\nfunction getPadAndOutInfo(\n    pad: 'same'|'valid'|number, inHeight: number, inWidth: number,\n    strideHeight: number, strideWidth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'):\n    {padInfo: PadInfo, outHeight: number, outWidth: number} {\n  let padInfo: PadInfo;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {top: pad, bottom: pad, left: pad, right: pad, type: padType};\n    const outShape = computeOutputShape2D(\n        [inHeight, inWidth], filterHeight, strideHeight, pad, roundingMode);\n    outHeight = outShape[0];\n    outWidth = outShape[1];\n  } else if (pad === 'same') {\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongHeight =\n        Math.max(0, (outHeight - 1) * strideHeight + filterHeight - inHeight);\n    const padAlongWidth =\n        Math.max(0, (outWidth - 1) * strideWidth + filterWidth - inWidth);\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n    padInfo = {top, bottom, left, right, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {top: 0, bottom: 0, left: 0, right: 0, type: 'VALID'};\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outHeight, outWidth};\n}\n\nfunction get3DPadAndOutInfo(\n    pad: 'same'|'valid'|number, inDepth: number, inHeight: number,\n    inWidth: number, strideDepth: number, strideHeight: number,\n    strideWidth: number, filterDepth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'): {\n  padInfo: PadInfo3D,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number\n} {\n  let padInfo: PadInfo3D;\n  let outDepth: number;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {\n      top: pad,\n      bottom: pad,\n      left: pad,\n      right: pad,\n      front: pad,\n      back: pad,\n      type: padType\n    };\n    const outShape = computeOutputShape4D(\n        [inDepth, inHeight, inWidth, 1], filterDepth, 1, strideDepth, pad,\n        roundingMode);\n    outDepth = outShape[0];\n    outHeight = outShape[1];\n    outWidth = outShape[2];\n  } else if (pad === 'same') {\n    outDepth = Math.ceil(inDepth / strideDepth);\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongDepth = (outDepth - 1) * strideDepth + filterDepth - inDepth;\n    const padAlongHeight =\n        (outHeight - 1) * strideHeight + filterHeight - inHeight;\n    const padAlongWidth = (outWidth - 1) * strideWidth + filterWidth - inWidth;\n    const front = Math.floor(padAlongDepth / 2);\n    const back = padAlongDepth - front;\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n\n    padInfo = {top, bottom, left, right, front, back, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {\n      top: 0,\n      bottom: 0,\n      left: 0,\n      right: 0,\n      front: 0,\n      back: 0,\n      type: 'VALID'\n    };\n    outDepth = Math.ceil((inDepth - filterDepth + 1) / strideDepth);\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outDepth, outHeight, outWidth};\n}\n\n/**\n * Rounds a value depending on the rounding mode\n * @param value\n * @param roundingMode\n */\nfunction conditionalRound(\n    value: number, roundingMode?: 'floor'|'round'|'ceil') {\n  if (!roundingMode) {\n    return value;\n  }\n  switch (roundingMode) {\n    case 'round':\n      // used for Caffe Conv\n      return Math.round(value);\n    case 'ceil':\n      // used for Caffe Pool\n      return Math.ceil(value);\n    case 'floor':\n      return Math.floor(value);\n    default:\n      throw new Error(`Unknown roundingMode ${roundingMode}`);\n  }\n}\n\nexport function tupleValuesAreOne(param: number|number[]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nexport function eitherStridesOrDilationsAreOne(\n    strides: number|number[], dilations: number|number[]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\n/**\n * Convert Conv2D dataFormat from 'NHWC'|'NCHW' to\n *    'channelsLast'|'channelsFirst'\n * @param dataFormat in 'NHWC'|'NCHW' mode\n * @return dataFormat in 'channelsLast'|'channelsFirst' mode\n * @throws unknown dataFormat\n */\nexport function convertConv2DDataFormat(dataFormat: 'NHWC'|'NCHW'):\n    'channelsLast'|'channelsFirst' {\n  if (dataFormat === 'NHWC') {\n    return 'channelsLast';\n  } else if (dataFormat === 'NCHW') {\n    return 'channelsFirst';\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {scalar, tensor1d, zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {Rank} from '../types';\nimport {DataType, ShapeMap} from '../types';\nimport {hasEncodingLoss, makeZerosTypedArray} from '../util';\n\nimport {KernelBackend} from './backend';\n\n// Utilities needed by backend consumers of tf-core.\nexport * from '../ops/axis_util';\nexport * from '../ops/broadcast_util';\nexport * from '../ops/concat_util';\nexport * from '../ops/conv_util';\nexport {Activation, FusedConv2DConfig} from '../ops/fused_util';\nexport * from '../ops/reduce_util';\nexport {BackendValues, TypedArray, upcastType, PixelData} from '../types';\nexport {MemoryInfo, TimingInfo} from '../engine';\n\nexport function castTensor<T extends Tensor>(\n    x: T, dtype: DataType, backend: KernelBackend): T {\n  if (dtype === 'complex64') {\n    if (x.dtype === 'complex64') {\n      return x.clone();\n    }\n    const zerosTensor = zeros(x.shape);\n    const floatX = x.toFloat();\n    const result = backend.complex(floatX, zerosTensor);\n    zerosTensor.dispose();\n    floatX.dispose();\n    return result as T;\n  }\n\n  if (!hasEncodingLoss(x.dtype, dtype)) {\n    // We don't change the underlying data, since we cast to higher\n    // precision.\n    return ENGINE.makeTensorFromDataId(x.dataId, x.shape, dtype) as T;\n  }\n  if (x.dtype === 'complex64') {\n    const real = backend.real(x);\n    const result = real.cast(dtype);\n    real.dispose();\n    return result;\n  }\n  if (dtype === 'int32') {\n    return backend.int(x);\n  } else if (dtype === 'bool') {\n    const zero = scalar(0, x.dtype);\n    const result = backend.notEqual(x, zero) as T;\n    zero.dispose();\n    return result;\n  } else {\n    throw new Error(`Error in Cast: failed to cast ${x.dtype} to ${dtype}`);\n  }\n}\n\nexport function reshapeTensor<T extends Tensor, R extends Rank>(\n    x: T, shape: ShapeMap[R]): Tensor<R> {\n  return ENGINE.makeTensorFromDataId(x.dataId, shape, x.dtype) as Tensor<R>;\n}\n\nexport function linspaceImpl(start: number, stop: number, num: number) {\n  const step = (stop - start) / (num - 1);\n\n  const values = makeZerosTypedArray(num, 'float32');\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, 'float32');\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../types';\n/**\n * Merges real and imaginary Float32Arrays into a single complex Float32Array.\n *\n * The memory layout is interleaved as follows:\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n * complex: [r0, i0, r1, i1, r2, i2]\n *\n * This is the inverse of splitRealAndImagArrays.\n *\n * @param real The real values of the complex tensor values.\n * @param imag The imag values of the complex tensor values.\n * @returns A complex tensor as a Float32Array with merged values.\n */\nexport function mergeRealAndImagArrays(\n    real: Float32Array, imag: Float32Array): Float32Array {\n  if (real.length !== imag.length) {\n    throw new Error(\n        `Cannot merge real and imag arrays of different lengths. real:` +\n        `${real.length}, imag: ${imag.length}.`);\n  }\n  const result = new Float32Array(real.length * 2);\n  for (let i = 0; i < result.length; i += 2) {\n    result[i] = real[i / 2];\n    result[i + 1] = imag[i / 2];\n  }\n  return result;\n}\n\n/**\n * Splits a complex Float32Array into real and imag parts.\n *\n * The memory layout is interleaved as follows:\n * complex: [r0, i0, r1, i1, r2, i2]\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n *\n * This is the inverse of mergeRealAndImagArrays.\n *\n * @param complex The complex tensor values.\n * @returns An object with real and imag Float32Array components of the complex\n *     tensor.\n */\nexport function splitRealAndImagArrays(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(complex.length / 2);\n  const imag = new Float32Array(complex.length / 2);\n  for (let i = 0; i < complex.length; i += 2) {\n    real[i / 2] = complex[i];\n    imag[i / 2] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts even indexed complex values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithEvenIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.ceil(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 0; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts odd indexed comple values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithOddIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.floor(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 2; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Get the map representing a complex value in the given array.\n * @param complex The complex tensor values.\n * @param index An index of the target complex value.\n */\nexport function getComplexWithIndex(\n    complex: Float32Array, index: number): {real: number, imag: number} {\n  const real = complex[index * 2];\n  const imag = complex[index * 2 + 1];\n  return {real, imag};\n}\n\n/**\n * Insert a given complex value into the TypedArray.\n * @param data The array in which the complex value is inserted.\n * @param c The complex value to be inserted.\n * @param index An index of the target complex value.\n */\nexport function assignToTypedArray(\n    data: TypedArray, real: number, imag: number, index: number) {\n  data[index * 2] = real;\n  data[index * 2 + 1] = imag;\n}\n\n/**\n * Make the list of exponent terms used by FFT.\n */\nexport function exponents(\n    n: number, inverse: boolean): {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(n / 2);\n  const imag = new Float32Array(n / 2);\n  for (let i = 0; i < Math.ceil(n / 2); i++) {\n    const x = (inverse ? 2 : -2) * Math.PI * (i / n);\n    real[i] = Math.cos(x);\n    imag[i] = Math.sin(x);\n  }\n  return {real, imag};\n}\n\n/**\n * Make the exponent term used by FFT.\n */\nexport function exponent(\n    k: number, n: number, inverse: boolean): {real: number, imag: number} {\n  const x = (inverse ? 2 : -2) * Math.PI * (k / n);\n  const real = Math.cos(x);\n  const imag = Math.sin(x);\n  return {real, imag};\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inserts a value into a sorted array. This method allows duplicate, meaning it\n * allows inserting duplicate value, in which case, the element will be inserted\n * at the lowest index of the value.\n * @param arr The array to modify.\n * @param element The element to insert.\n * @param comparator Optional. If no comparator is specified, elements are\n * compared using array_util.defaultComparator, which is suitable for Strings\n * and Numbers in ascending arrays. If the array contains multiple instances of\n * the target value, the left-most instance will be returned. To provide a\n * comparator, it should take 2 arguments to compare and return a negative,\n * zero, or a positive number.\n */\nexport function binaryInsert<T>(\n    arr: T[], element: T, comparator?: (a: T, b: T) => number) {\n  const index = binarySearch(arr, element, comparator);\n  const insertionPoint = index < 0 ? -(index + 1) : index;\n  arr.splice(insertionPoint, 0, element);\n}\n\n/**\n * Searches the array for the target using binary search, returns the index\n * of the found element, or position to insert if element not found. If no\n * comparator is specified, elements are compared using array_\n * util.defaultComparator, which is suitable for Strings and Numbers in\n * ascending arrays. If the array contains multiple instances of the target\n * value, the left-most instance will be returned.\n * @param arr The array to be searched in.\n * @param target The target to be searched for.\n * @param comparator Should take 2 arguments to compare and return a negative,\n *    zero, or a positive number.\n * @return Lowest index of the target value if found, otherwise the insertion\n *    point where the target should be inserted, in the form of\n *    (-insertionPoint - 1).\n */\nexport function binarySearch<T>(\n    arr: T[], target: T, comparator?: (a: T, b: T) => number) {\n  return binarySearch_(arr, target, comparator || defaultComparator);\n}\n\n/**\n * Compares its two arguments for order.\n * @param a The first element to be compared.\n * @param b The second element to be compared.\n * @return A negative number, zero, or a positive number as the first\n *     argument is less than, equal to, or greater than the second.\n */\nfunction defaultComparator<T>(a: T, b: T): number {\n  return a > b ? 1 : a < b ? -1 : 0;\n}\n\nfunction binarySearch_<T>(\n    arr: T[], target: T, comparator: (a: T, b: T) => number) {\n  let left = 0;\n  let right = arr.length;\n  let middle = 0;\n  let found = false;\n  while (left < right) {\n    middle = left + ((right - left) >>> 1);\n    const compareResult = comparator(target, arr[middle]);\n    if (compareResult > 0) {\n      left = middle + 1;\n    } else {\n      right = middle;\n      // If compareResult is 0, the value is found. We record it is found,\n      // and then keep looking because there may be duplicate.\n      found = !compareResult;\n    }\n  }\n\n  return found ? left : -left - 1;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Implementation of the NonMaxSuppression kernel shared between webgl and cpu.\n */\n\nimport {scalar, tensor1d} from '../ops/tensor_ops';\nimport {Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\n\nimport {binaryInsert} from './array_util';\n\ninterface Candidate {\n  score: number;\n  boxIndex: number;\n  suppressBeginIndex: number;\n}\n\nexport function nonMaxSuppressionV3(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number): Tensor1D {\n  const dummySoftNmsSigma = 0.0;\n\n  return nonMaxSuppressionImpl_(\n             boxes, scores, maxOutputSize, iouThreshold, scoreThreshold,\n             dummySoftNmsSigma)\n             .selectedIndices as Tensor1D;\n}\n\nexport function nonMaxSuppressionV5(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number,\n    softNmsSigma: number): NamedTensorMap {\n  // For NonMaxSuppressionV5Op, we always return a second output holding\n  // corresponding scores.\n  const returnScoresTensor = true;\n\n  const result = nonMaxSuppressionImpl_(\n      boxes, scores, maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma,\n      returnScoresTensor);\n\n  result.numValidOutputs.dispose();\n\n  return {\n    selectedIndices: result.selectedIndices,\n    selectedScores: result.selectedScores\n  };\n}\n\nfunction nonMaxSuppressionImpl_(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma: number,\n    returnScoresTensor = false, padToMaxOutputSize = false): NamedTensorMap {\n  // The list is sorted in ascending order, so that we can always pop the\n  // candidate with the largest score in O(1) time.\n  const candidates =\n      Array.from(scores)\n          .map((score, boxIndex) => ({score, boxIndex, suppressBeginIndex: 0}))\n          .filter(c => c.score > scoreThreshold)\n          .sort(ascendingComparator);\n\n  // If softNmsSigma is 0, the outcome of this algorithm is exactly same as\n  // before.\n  const scale = softNmsSigma > 0 ? (-0.5 / softNmsSigma) : 0.0;\n\n  const selectedIndices: number[] = [];\n  const selectedScores: number[] = [];\n\n  while (selectedIndices.length < maxOutputSize && candidates.length > 0) {\n    const candidate = candidates.pop();\n    const {score: originalScore, boxIndex, suppressBeginIndex} = candidate;\n\n    if (originalScore < scoreThreshold) {\n      break;\n    }\n\n    // Overlapping boxes are likely to have similar scores, therefore we\n    // iterate through the previously selected boxes backwards in order to\n    // see if candidate's score should be suppressed. We use\n    // suppressBeginIndex to track and ensure a candidate can be suppressed\n    // by a selected box no more than once. Also, if the overlap exceeds\n    // iouThreshold, we simply ignore the candidate.\n    let ignoreCandidate = false;\n    for (let j = selectedIndices.length - 1; j >= suppressBeginIndex; --j) {\n      const iou = intersectionOverUnion(boxes, boxIndex, selectedIndices[j]);\n\n      if (iou >= iouThreshold) {\n        ignoreCandidate = true;\n        break;\n      }\n\n      candidate.score =\n          candidate.score * suppressWeight(iouThreshold, scale, iou);\n\n      if (candidate.score <= scoreThreshold) {\n        break;\n      }\n    }\n\n    // At this point, if `candidate.score` has not dropped below\n    // `scoreThreshold`, then we know that we went through all of the\n    // previous selections and can safely update `suppressBeginIndex` to the\n    // end of the selected array. Then we can re-insert the candidate with\n    // the updated score and suppressBeginIndex back in the candidate list.\n    // If on the other hand, `candidate.score` has dropped below the score\n    // threshold, we will not add it back to the candidates list.\n    candidate.suppressBeginIndex = selectedIndices.length;\n\n    if (!ignoreCandidate) {\n      // Candidate has passed all the tests, and is not suppressed, so\n      // select the candidate.\n      if (candidate.score === originalScore) {\n        selectedIndices.push(boxIndex);\n        selectedScores.push(candidate.score);\n      } else if (candidate.score > scoreThreshold) {\n        // Candidate's score is suppressed but is still high enough to be\n        // considered, so add back to the candidates list.\n        binaryInsert(candidates, candidate, ascendingComparator);\n      }\n    }\n  }\n\n  // NonMaxSuppressionV4 feature: padding output to maxOutputSize.\n  const numValidOutputs = selectedIndices.length;\n  if (padToMaxOutputSize) {\n    selectedIndices.fill(0, numValidOutputs);\n    selectedScores.fill(0.0, numValidOutputs);\n  }\n\n  return {\n    selectedIndices: tensor1d(selectedIndices, 'int32'),\n    selectedScores: tensor1d(selectedScores, 'float32'),\n    numValidOutputs: scalar(numValidOutputs, 'int32')\n  };\n}\n\nfunction intersectionOverUnion(boxes: TypedArray, i: number, j: number) {\n  const iCoord = boxes.subarray(i * 4, i * 4 + 4);\n  const jCoord = boxes.subarray(j * 4, j * 4 + 4);\n  const yminI = Math.min(iCoord[0], iCoord[2]);\n  const xminI = Math.min(iCoord[1], iCoord[3]);\n  const ymaxI = Math.max(iCoord[0], iCoord[2]);\n  const xmaxI = Math.max(iCoord[1], iCoord[3]);\n  const yminJ = Math.min(jCoord[0], jCoord[2]);\n  const xminJ = Math.min(jCoord[1], jCoord[3]);\n  const ymaxJ = Math.max(jCoord[0], jCoord[2]);\n  const xmaxJ = Math.max(jCoord[1], jCoord[3]);\n  const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n  const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n  if (areaI <= 0 || areaJ <= 0) {\n    return 0.0;\n  }\n  const intersectionYmin = Math.max(yminI, yminJ);\n  const intersectionXmin = Math.max(xminI, xminJ);\n  const intersectionYmax = Math.min(ymaxI, ymaxJ);\n  const intersectionXmax = Math.min(xmaxI, xmaxJ);\n  const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) *\n      Math.max(intersectionXmax - intersectionXmin, 0.0);\n  return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\n// A Gaussian penalty function, this method always returns values in [0, 1].\n// The weight is a function of similarity, the more overlap two boxes are, the\n// smaller the weight is, meaning highly overlapping boxe will be significantly\n// penalized. On the other hand, a non-overlapping box will not be penalized.\nfunction suppressWeight(iouThreshold: number, scale: number, iou: number) {\n  const weight = Math.exp(scale * iou * iou);\n  return iou <= iouThreshold ? weight : 0.0;\n}\n\nfunction ascendingComparator(c1: Candidate, c2: Candidate) {\n  // For objects with same scores, we make the object with the larger index go\n  // first. In an array that pops from the end, this means that the object with\n  // the smaller index will be popped first. This ensures the same output as\n  // the TensorFlow python version.\n  return (c1.score - c2.score) ||\n      ((c1.score === c2.score) && (c2.boxIndex - c1.boxIndex));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\n\n/** Shared implementation of the split kernel across WebGL and CPU. */\nexport function split<T extends Tensor>(\n    x: T, sizeSplits: number[], axis: number): T[] {\n  const begin = new Array(x.rank).fill(0);\n  const size = x.shape.slice();\n  return sizeSplits.map(s => {\n    size[axis] = s;\n    const slice = x.slice(begin, size);\n    begin[axis] += s;\n    return slice;\n  });\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * An implementation of the tile kernel shared between webgl and cpu for string\n * tensors only.\n */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor, TensorBuffer} from '../tensor';\nimport {DataType, Rank} from '../types';\n\nexport function tile<R extends Rank>(\n    xBuf: TensorBuffer<R, DataType>, reps: number[]): Tensor<R> {\n  const newShape: number[] = new Array(xBuf.rank);\n  for (let i = 0; i < newShape.length; i++) {\n    newShape[i] = xBuf.shape[i] * reps[i];\n  }\n  const result = buffer(newShape, xBuf.dtype);\n  for (let i = 0; i < result.values.length; ++i) {\n    const newLoc = result.indexToLoc(i);\n\n    const originalLoc: number[] = new Array(xBuf.rank);\n    for (let j = 0; j < originalLoc.length; j++) {\n      originalLoc[j] = newLoc[j] % xBuf.shape[j];\n    }\n\n    const originalIndex = xBuf.locToIndex(originalLoc);\n\n    result.values[i] = xBuf.values[originalIndex];\n  }\n  return result.toTensor() as Tensor<R>;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the TopK kernel shared between webgl and cpu. */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {NumericDataType, TypedArray} from '../types';\nimport {getTypedArrayFromDType} from '../util';\n\nexport function topkImpl<T extends Tensor>(\n    x: TypedArray, xShape: number[], xDtype: NumericDataType, k: number,\n    sorted: boolean): [T, T] {\n  // Reshape into a 2d tensor [batch, lastDim] and compute topk along lastDim.\n  const lastDim = xShape[xShape.length - 1];\n  const [batch, size] = [x.length / lastDim, lastDim];\n  const allTopKVals = getTypedArrayFromDType(xDtype, batch * k);\n  const allTopKIndices = getTypedArrayFromDType('int32', batch * k);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = x.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    const outOffset = b * k;\n    const topKVals = allTopKVals.subarray(outOffset, outOffset + k);\n    const topKIndices = allTopKIndices.subarray(outOffset, outOffset + k);\n    for (let i = 0; i < k; i++) {\n      topKVals[i] = valAndInd[i].value;\n      topKIndices[i] = valAndInd[i].index;\n    }\n  }\n  // Reshape back to the original input shape, except that the last\n  // dimension is k.\n  const outputShape = xShape.slice();\n  outputShape[outputShape.length - 1] = k;\n  return [\n    tensor(allTopKVals, outputShape, xDtype) as T,\n    tensor(allTopKIndices, outputShape, 'int32') as T\n  ];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the Where kernel shared between cpu and webgl */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor2D} from '../tensor';\nimport {TypedArray} from '../types';\n\nexport function whereImpl(condShape: number[], condVals: TypedArray): Tensor2D {\n  const indices = [];\n  for (let i = 0; i < condVals.length; i++) {\n    if (condVals[i]) {\n      indices.push(i);\n    }\n  }\n\n  const inBuffer = buffer(condShape, 'int32');\n\n  const out = buffer([indices.length, condShape.length], 'int32');\n  for (let i = 0; i < indices.length; i++) {\n    const loc = inBuffer.indexToLoc(indices[i]);\n    const offset = i * condShape.length;\n    out.values.set(loc, offset);\n  }\n  return out.toTensor() as Tensor2D;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`float v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        float result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`vec4 v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        vec4 result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ArgMinMaxProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(reduceInfo: ReduceInfo, op: 'max'|'min', firstPass: boolean) {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    this.outputShape = [batchSize, outSize];\n    const compOp = (op === 'max') ? '>' : '<';\n    const indexSnippet = firstPass ?\n        'inOffset + i;' :\n        'round(getBestIndicesA(batch, inOffset + i));';\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          int inIdx = ${indexSnippet};\n          float candidate = getA(batch, inIdx);\n          if (candidate ${compOp} bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function getVecChannels(name: string, rank: number): string[] {\n  return ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank).map(d => `${name}.${d}`);\n}\n\nexport function getChannels(name: string, rank: number): string[] {\n  if (rank === 1) {\n    return [name];\n  }\n  return getVecChannels(name, rank);\n}\n\nexport function getSourceCoords(rank: number, dims: string[]): string {\n  if (rank === 1) {\n    return 'rc';\n  }\n\n  let coords = '';\n  for (let i = 0; i < rank; i++) {\n    coords += dims[i];\n    if (i < rank - 1) {\n      coords += ',';\n    }\n  }\n  return coords;\n}","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../../environment';\n\nexport type GLSL = {\n  version: string,\n  attribute: string,\n  varyingVs: string,\n  varyingFs: string,\n  texture2D: string,\n  output: string,\n  defineOutput: string,\n  defineSpecialNaN: string,\n  defineSpecialInf: string,\n  defineRound: string\n};\n\nexport function getGlslDifferences(): GLSL {\n  let version: string;\n  let attribute: string;\n  let varyingVs: string;\n  let varyingFs: string;\n  let texture2D: string;\n  let output: string;\n  let defineOutput: string;\n  let defineSpecialNaN: string;\n  let defineSpecialInf: string;\n  let defineRound: string;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    version = '#version 300 es';\n    attribute = 'in';\n    varyingVs = 'out';\n    varyingFs = 'in';\n    texture2D = 'texture';\n    output = 'outputColor';\n    defineOutput = 'out vec4 outputColor;';\n\n    // Use custom isnan definition to work across differences between\n    // implementations on various platforms. While this should happen in ANGLE\n    // we still see differences between android and windows (on chrome) when\n    // using isnan directly.\n    defineSpecialNaN = `\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    `;\n    // In webgl 2 we do not need to specify a custom isinf so there is no\n    // need for a special INFINITY constant.\n    defineSpecialInf = ``;\n    defineRound = `\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  } else {\n    version = '';\n    attribute = 'attribute';\n    varyingVs = 'varying';\n    varyingFs = 'varying';\n    texture2D = 'texture2D';\n    output = 'gl_FragColor';\n    defineOutput = '';\n    // WebGL1 has no built in isnan so we define one here.\n    defineSpecialNaN = `\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    `;\n    defineSpecialInf = `\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    `;\n    defineRound = `\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  }\n\n  return {\n    version,\n    attribute,\n    varyingVs,\n    varyingFs,\n    texture2D,\n    output,\n    defineOutput,\n    defineSpecialNaN,\n    defineSpecialInf,\n    defineRound\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../../util';\n\n/**\n * Produces GLSL code that derives logical coordinates from a flat\n * index. The code performs integer division with each stride and decrements\n * the index until the index equals the final dimension coordinate.\n */\nexport function getLogicalCoordinatesFromFlatIndex(\n    coords: string[], shape: number[], index = 'index'): string {\n  const strides = util.computeStrides(shape);\n  return strides\n      .map((stride, i) => {\n        const line1 = `int ${coords[i]} = ${index} / ${stride}`;\n        const line2 = i === strides.length - 1 ?\n            `int ${coords[i + 1]} = ${index} - ${coords[i]} * ${stride}` :\n            `index -= ${coords[i]} * ${stride}`;\n        return `${line1}; ${line2};`;\n      })\n      .join('');\n}\n\nfunction buildVec(x: string[]): string {\n  if (x.length === 1) {\n    return `${x[0]}`;\n  }\n  return `vec${x.length}(${x.join(',')})`;\n}\n\n/**\n * Produces GLSL code that computes the dot product of the input x and y\n * vectors. Handles splitting inputs into increments of vec4s when necessary.\n */\nexport function dotify(x: string[], y: string[]): string {\n  if (x.length !== y.length) {\n    throw new Error(\n        `Vectors to be dotted must be of the same length -` +\n        `got ${x.length} and ${y.length}`);\n  }\n\n  const slices: string[] = [];\n  const nearestVec4 = Math.floor(x.length / 4);\n  const nearestVec4Remainder = x.length % 4;\n\n  for (let i = 0; i < nearestVec4; i++) {\n    const xSlice = x.slice(i * 4, i * 4 + 4);\n    const ySlice = y.slice(i * 4, i * 4 + 4);\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  if (nearestVec4Remainder !== 0) {\n    let xSlice = x.slice(nearestVec4 * 4);\n    let ySlice = y.slice(nearestVec4 * 4);\n    if (xSlice.length === 1) {\n      xSlice = xSlice.map(d => `float(${d})`);\n      ySlice = ySlice.map(d => `float(${d})`);\n    }\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  return slices.map((d, i) => `dot(${d})`).join('+');\n}\n\n/**\n * Produces GLSL that computes the flat index from 3D coordinates.\n */\nexport function getFlatIndexFrom3D(shape: [number, number, number]): string {\n  const strides = util.computeStrides(shape).map(d => d.toString());\n\n  return `\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * ${strides[0]} + coords.y * ${strides[1]} + coords.z;\n  }\n`;\n}\n\nexport const ENCODE_FLOAT_SNIPPET = `\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n`;","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getBroadcastDims} from '../../ops/broadcast_util';\nimport * as util from '../../util';\nimport {getGlslDifferences, GLSL} from './glsl_version';\nimport * as shader_util from './shader_compiler_util';\n\nexport type ShapeInfo = {\n  logicalShape: number[],\n  texShape: [number, number],\n  isUniform: boolean,\n  isPacked: boolean,\n  flatOffset: number\n};\n\nexport type InputInfo = {\n  name: string,\n  shapeInfo: ShapeInfo\n};\n\nexport function makeShader(\n    inputsInfo: InputInfo[], outputShape: ShapeInfo, userCode: string,\n    usesPackedTextures: boolean): string {\n  const prefixSnippets: string[] = [];\n  inputsInfo.forEach(x => {\n    const size = util.sizeFromShape(x.shapeInfo.logicalShape);\n\n    // Snippet when we decided to upload the values as uniform.\n    if (x.shapeInfo.isUniform) {\n      prefixSnippets.push(\n          `uniform float ${x.name}${size > 1 ? `[${size}]` : ''};`);\n    } else {\n      prefixSnippets.push(`uniform sampler2D ${x.name};`);\n      prefixSnippets.push(`uniform int offset${x.name};`);\n    }\n  });\n  const inputPrefixSnippet = prefixSnippets.join('\\n');\n\n  const inputSamplingSnippet =\n      inputsInfo\n          .map(x => getInputSamplingSnippet(x, outputShape, usesPackedTextures))\n          .join('\\n');\n  const outTexShape = outputShape.texShape;\n  const glsl = getGlslDifferences();\n  const floatTextureSampleSnippet = getFloatTextureSampleSnippet(glsl);\n  let outputSamplingSnippet: string;\n  let floatTextureSetOutputSnippet: string;\n  let shaderPrefix = getShaderPrefix(glsl);\n\n  if (outputShape.isPacked) {\n    outputSamplingSnippet =\n        getPackedOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRGBASnippet(glsl);\n  } else {\n    outputSamplingSnippet =\n        getOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRSnippet(glsl);\n  }\n\n  if (usesPackedTextures) {\n    shaderPrefix += SHADER_PACKED_PREFIX;\n  }\n\n  const source = [\n    shaderPrefix, floatTextureSampleSnippet, floatTextureSetOutputSnippet,\n    inputPrefixSnippet, outputSamplingSnippet, inputSamplingSnippet, userCode\n  ].join('\\n');\n  return source;\n}\n\nfunction getSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getSamplerScalar(inInfo);\n    case 1:\n      return getSampler1D(inInfo);\n    case 2:\n      return getSampler2D(inInfo);\n    case 3:\n      return getSampler3D(inInfo);\n    case 4:\n      return getSampler4D(inInfo);\n    case 5:\n      return getSampler5D(inInfo);\n    case 6:\n      return getSampler6D(inInfo);\n    default:\n      throw new Error(\n          `${shape.length}-D input sampling` +\n          ` is not yet supported`);\n  }\n}\n\nfunction getPackedSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getPackedSamplerScalar(inInfo);\n    case 1:\n      return getPackedSampler1D(inInfo);\n    case 2:\n      return getPackedSampler2D(inInfo);\n    case 3:\n      return getPackedSampler3D(inInfo);\n    default:\n      return getPackedSamplerND(inInfo);\n  }\n}\n\nfunction getInputSamplingSnippet(\n    inInfo: InputInfo, outShapeInfo: ShapeInfo,\n    usesPackedTextures = false): string {\n  let res = '';\n  if (usesPackedTextures) {\n    res += getPackedSamplerFromInInfo(inInfo);\n  } else {\n    res += getSamplerFromInInfo(inInfo);\n  }\n\n  const inShape = inInfo.shapeInfo.logicalShape;\n  const outShape = outShapeInfo.logicalShape;\n  if (inShape.length <= outShape.length) {\n    if (usesPackedTextures) {\n      res += getPackedSamplerAtOutputCoords(inInfo, outShapeInfo);\n    } else {\n      res += getSamplerAtOutputCoords(inInfo, outShapeInfo);\n    }\n  }\n  return res;\n}\n\nfunction getPackedOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutputPacked1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutputPacked2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutputPacked3DCoords(\n          outShape as [number, number, number], outTexShape);\n    default:\n      return getOutputPackedNDCoords(outShape, outTexShape);\n  }\n}\n\nfunction getOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutput1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutput2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutput3DCoords(\n          outShape as [number, number, number], outTexShape);\n    case 4:\n      return getOutput4DCoords(\n          outShape as [number, number, number, number], outTexShape);\n    case 5:\n      return getOutput5DCoords(\n          outShape as [number, number, number, number, number], outTexShape);\n    case 6:\n      return getOutput6DCoords(\n          outShape as [number, number, number, number, number, number],\n          outTexShape);\n    default:\n      throw new Error(\n          `${outShape.length}-D output sampling is not yet supported`);\n  }\n}\n\nfunction getFloatTextureSampleSnippet(glsl: GLSL): string {\n  return `\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return ${glsl.texture2D}(textureSampler, uv).r;\n    }\n  `;\n}\n\nfunction getFloatTextureSetRSnippet(glsl: GLSL): string {\n  return `\n    void setOutput(float val) {\n      ${glsl.output} = vec4(val, 0, 0, 0);\n    }\n  `;\n}\n\nfunction getFloatTextureSetRGBASnippet(glsl: GLSL): string {\n  return `\n    void setOutput(vec4 val) {\n      ${glsl.output} = val;\n    }\n  `;\n}\n\nfunction getShaderPrefix(glsl: GLSL): string {\n  const SHADER_PREFIX = `${glsl.version}\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    ${glsl.varyingFs} vec2 resultUV;\n    ${glsl.defineOutput}\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    ${glsl.defineSpecialNaN}\n    ${glsl.defineSpecialInf}\n    ${glsl.defineRound}\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    ${SAMPLE_1D_SNIPPET}\n    ${SAMPLE_2D_SNIPPET}\n    ${SAMPLE_3D_SNIPPET}\n  `;\n\n  return SHADER_PREFIX;\n}\n\nconst SAMPLE_1D_SNIPPET = `\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_2D_SNIPPET = `\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_3D_SNIPPET = `\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SHADER_PACKED_PREFIX = `\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n`;\n\nfunction getOutputScalarCoords() {\n  return `\n    int getOutputCoords() {\n      return 0;\n    }\n  `;\n}\n\nfunction getOutputPacked1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (packedTexShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * ${packedTexShape[1]}.0);\n      }\n    `;\n  }\n\n  if (packedTexShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ${packedTexShape[0]}.0);\n      }\n    `;\n  }\n\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      return 2 * (resTexRC.x * ${packedTexShape[1]} + resTexRC.y);\n    }\n  `;\n}\n\nfunction getOutput1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  if (texShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.x * ${texShape[1]}.0);\n      }\n    `;\n  }\n  if (texShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.y * ${texShape[0]}.0);\n      }\n    `;\n  }\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      return resTexRC.x * ${texShape[1]} + resTexRC.y;\n    }\n  `;\n}\n\nfunction getOutputPacked3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texelsInLogicalRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = texelsInLogicalRow * Math.ceil(shape[1] / 2);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec3(b, r, c);\n    }\n  `;\n}\n\nfunction getOutput3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n\nfunction getOutputPackedNDCoords(\n    shape: number[], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  const texelsInLogicalRow = Math.ceil(shape[shape.length - 1] / 2);\n  const texelsInBatch =\n      texelsInLogicalRow * Math.ceil(shape[shape.length - 2] / 2);\n  let texelsInBatchN = texelsInBatch;\n  let batches = ``;\n  let coords = 'b, r, c';\n\n  for (let b = 2; b < shape.length - 1; b++) {\n    texelsInBatchN *= shape[shape.length - b - 1];\n    batches = `\n      int b${b} = index / ${texelsInBatchN};\n      index -= b${b} * ${texelsInBatchN};\n    ` + batches;\n    coords = `b${b}, ` + coords;\n  }\n\n  return `\n    ivec${shape.length} getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      ${batches}\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec${shape.length}(${coords});\n    }\n  `;\n}\n\nfunction getOutput4DCoords(\n    shape: [number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2'], shape);\n\n  return `\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec4(r, c, d, d2);\n    }\n  `;\n}\n\nfunction getOutput5DCoords(\n    shape: [number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3'], shape);\n\n  return `\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(${texShape[0]},\n                             ${texShape[1]}));\n\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  `;\n}\n\nfunction getOutput6DCoords(\n    shape: [number, number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3', 'd4'], shape);\n\n  return `\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  `;\n}\n\nfunction getOutputPacked2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2(${packedTexShape[0]}, ${\n        packedTexShape[1]}));\n      }\n    `;\n  }\n\n  // texels needed to accommodate a logical row\n  const texelsInLogicalRow = Math.ceil(shape[1] / 2);\n\n  /**\n   * getOutputCoords\n   *\n   * resTexRC: The rows and columns of the texels. If you move over one\n   * texel to the right in the packed texture, you are moving over one column\n   * (not two).\n   *\n   * index: The texel index\n   */\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getOutput2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(${texShape[0]}, ${texShape[1]}));\n      }\n    `;\n  }\n  if (shape[1] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    `;\n  }\n  if (shape[0] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(0, index);\n      }\n    `;\n  }\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      int r = index / ${shape[1]};\n      int c = index - r * ${shape[1]};\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getFlatOffsetUniformName(texName: string): string {\n  return `offset${texName}`;\n}\n\nfunction getPackedSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}() {\n      return ${glsl.texture2D}(${texName}, halfCR);\n    }\n  `;\n}\n\nfunction getSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  if (inputInfo.shapeInfo.isUniform) {\n    return `float ${funcName}() {return ${texName};}`;\n  }\n  const [texNumR, texNumC] = inputInfo.shapeInfo.texShape;\n  if (texNumR === 1 && texNumC === 1) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n\n  const [tNumR, tNumC] = inputInfo.shapeInfo.texShape;\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}() {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int index) {\n      vec2 uv = packedUVfrom1D(\n        ${packedTexShape[0]}, ${packedTexShape[1]}, index);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int index) {\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const tNumR = texShape[0];\n  const tNumC = texShape[1];\n\n  if (tNumC === 1 && tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  if (tNumC === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2(0.5, (float(index + ${offset}) + 0.5) / ${tNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2((float(index + ${offset}) + 0.5) / ${tNumC}.0, 0.5);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  return `\n    float ${funcName}(int index) {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const glsl = getGlslDifferences();\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    return `\n      vec4 ${funcName}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n\n        return ${glsl.texture2D}(${texName}, uv);\n      }\n    `;\n  }\n\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const valuesPerRow = Math.ceil(shape[1] / 2);\n\n  return `\n    vec4 ${funcName}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${valuesPerRow}, ${packedTexShape[0]}, ${\n      packedTexShape[1]}, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    const texNumR = texShape[0];\n    const texNumC = texShape[1];\n    return `\n    float ${funcName}(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(${shape[1]}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const offset = getFlatOffsetUniformName(texName);\n  if (texNumC === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n  if (texNumR === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2((index + 0.5) / ${texNumC}.0, 0.5);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  return `\n  float ${funcName}(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ${shape[1]} + col + ${offset};\n    vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n    return sampleTexture(${texName}, uv);\n  }\n`;\n}\n\nfunction getPackedSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  if (shape[0] === 1) {\n    const squeezedShape = shape.slice(1);\n    const keptDims = [1, 2];\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['b', 'row', 'col'];\n    return `\n        ${getPackedSamplerFromInInfo(newInputInfo)}\n        vec4 ${funcName}(int b, int row, int col) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = valuesPerRow * Math.ceil(shape[1] / 2);\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${texNumR}, ${texNumC}, ${texelsInBatch}, ${valuesPerRow}, b, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride0 = shape[1] * shape[2];\n  const stride1 = shape[2];\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col', 'depth'];\n    return `\n        ${getSamplerFromInInfo(newInputInfo)}\n        float ${funcName}(int row, int col, int depth) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(${stride0}, ${stride1}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n        float ${funcName}(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2(${stride1}, 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(${texNumC}.0, ${texNumR}.0);\n          return sampleTexture(${texName}, uv);\n        }\n      `;\n  }\n\n  if (texNumC === stride1 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2(${shape[1]}, 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n      float ${funcName}(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ${stride0} + col * ${stride1} + depth + ${offset};\n        vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n        return sampleTexture(${texName}, uv);\n      }\n  `;\n}\n\nfunction getPackedSamplerND(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const rank = shape.length;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[rank - 1] / 2);\n  let texelsInBatch = valuesPerRow * Math.ceil(shape[rank - 2] / 2);\n  let params = `int b, int row, int col`;\n  let index = `b * ${texelsInBatch} + (row / 2) * ${valuesPerRow} + (col / 2)`;\n  for (let b = 2; b < rank - 1; b++) {\n    params = `int b${b}, ` + params;\n    texelsInBatch *= shape[rank - b - 1];\n    index = `b${b} * ${texelsInBatch} + ` + index;\n  }\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}(${params}) {\n      int index = ${index};\n      int texR = index / ${texNumC};\n      int texC = index - texR * ${texNumC};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}, ${texNumR});\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler4D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride2 = shape[3];\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4(${stride0}, ${stride1}, ${stride2}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(${stride1}, ${stride2}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride2 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(${shape[1] * shape[2]}, ${shape[2]}, 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} +\n          depth * ${stride2} + depth2;\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler5D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride3 = shape[4];\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          depth3;\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4(${stride1}, ${stride2}, ${stride3}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  if (texNumC === stride3 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3]},\n               ${shape[2] * shape[3]}, ${shape[3]}, 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler6D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3', 'depth4'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  const stride4 = shape[5];\n  const stride3 = shape[4] * stride4;\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(${stride4}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4(${stride1}, ${stride2}, ${stride3}, ${stride4})) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride4 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3] * shape[4]},\n               ${shape[2] * shape[3] * shape[4]},\n               ${shape[3] * shape[4]},\n               ${shape[4]})) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 * ${stride4} + depth4 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getUniformSampler(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n\n  if (inSize < 2) {\n    return `return ${texName};`;\n  }\n  return `\n    for (int i = 0; i < ${inSize}; i++) {\n      if (i == index) {\n        return ${texName}[i];\n      }\n    }\n  `;\n}\n\nfunction getPackedSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n\n  const type = getCoordsDataType(outRank);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  let output = `return outputValue;`;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n  const isInputScalar = inSize === 1;\n  const outSize = util.sizeFromShape(outShapeInfo.logicalShape);\n  const isOutputScalar = outSize === 1;\n\n  if (inRank === 1 && !isInputScalar && !isOutputScalar) {\n    output = `\n      return vec4(outputValue.xy, outputValue.xy);\n    `;\n  } else if (isInputScalar && !isOutputScalar) {\n    if (outRank === 1) {\n      output = `\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      `;\n    } else {\n      output = `\n        return vec4(outputValue.x);\n      `;\n    }\n  } else if (broadcastDims.length) {\n    const rows = inRank - 2;\n    const cols = inRank - 1;\n\n    if (broadcastDims.indexOf(rows) > -1 && broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.x);`;\n    } else if (broadcastDims.indexOf(rows) > -1) {\n      output = `return vec4(outputValue.x, outputValue.y, ` +\n          `outputValue.x, outputValue.y);`;\n    } else if (broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.xx, outputValue.zz);`;\n    }\n  }\n\n  return `\n    vec4 ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      vec4 outputValue = get${texFuncSnippet}(${unpackedCoordsSnippet});\n      ${output}\n    }\n  `;\n}\n\nfunction getSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const outTexShape = outShapeInfo.texShape;\n  const inTexShape = inputInfo.shapeInfo.texShape;\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  if (!inputInfo.shapeInfo.isUniform && inRank === outRank &&\n      inputInfo.shapeInfo.flatOffset == null &&\n      util.arraysEqual(inTexShape, outTexShape)) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, resultUV);\n      }\n    `;\n  }\n\n  const type = getCoordsDataType(outRank);\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  return `\n    float ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      return get${texFuncSnippet}(${unpackedCoordsSnippet});\n    }\n  `;\n}\n\nexport function getCoordsDataType(rank: number): string {\n  if (rank <= 1) {\n    return 'int';\n  } else if (rank === 2) {\n    return 'ivec2';\n  } else if (rank === 3) {\n    return 'ivec3';\n  } else if (rank === 4) {\n    return 'ivec4';\n  } else if (rank === 5) {\n    return 'ivec5';\n  } else if (rank === 6) {\n    return 'ivec6';\n  } else {\n    throw Error(`GPU for rank ${rank} is not yet supported`);\n  }\n}\n\n/** Returns a new input info (a copy) that has a squeezed logical shape. */\nfunction squeezeInputInfo(\n    inInfo: InputInfo, squeezedShape: number[]): InputInfo {\n  // Deep copy.\n  const newInputInfo: InputInfo = JSON.parse(JSON.stringify(inInfo));\n  newInputInfo.shapeInfo.logicalShape = squeezedShape;\n  return newInputInfo;\n}\n\nfunction getSqueezedParams(params: string[], keptDims: number[]): string {\n  return keptDims.map(d => params[d]).join(', ');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ArgMinMaxPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      shape: number[], windowSize: number, op: 'max'|'min',\n      firstPass: boolean) {\n    assert(\n        shape.length > 2,\n        () => `Packed arg${\n            op.charAt(0).toUpperCase() +\n            op.slice(1)} supports only inputs with rank above 2.`);\n    const inSize = shape[shape.length - 1];\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = shape.slice(0, -1);\n    if (outSize > 1) {\n      this.outputShape.push(outSize);\n    }\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    const outShape = this.outputShape;\n    const rank = outShape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n\n    let sourceLocSetup;\n    let sourceRank;\n    if (outSize === 1) {\n      sourceRank = rank + 1;\n      const sourceLocDType = getCoordsDataType(sourceRank);\n      sourceLocSetup = `\n        ${sourceLocDType} sourceLocR = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 1]};\n        ${sourceLocDType} sourceLocG = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 2]};\n        ${sourceLocDType} sourceLocA = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 1]};\n        ${sourceLocDType} sourceLocB = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 2]};`;\n    } else {\n      sourceRank = rank;\n      sourceLocSetup = `\n        ${dtype} sourceLocR = coords;\n        ++${coords[rank - 1]};\n        ${dtype} sourceLocG = coords;\n        ++${coords[rank - 2]};\n        ${dtype} sourceLocA = coords;\n        --${coords[rank - 1]};\n        ${dtype} sourceLocB = coords;\n        --${coords[rank - 2]};`;\n    }\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, sourceRank);\n    const inChannel = '.' + channels[sourceRank - 1];  // e.g. \".b\" for rank 3.\n    const intChannels = channels.map(x => 'int ' + x);\n    const srcRCoords =\n        getChannels('sourceLocR', sourceRank - 1).concat('inIdx.r');\n    const srcGCoords =\n        getChannels('sourceLocG', sourceRank - 1).concat('inIdx.g');\n    const srcBCoords =\n        getChannels('sourceLocB', sourceRank - 1).concat('inIdx.b');\n    const srcACoords =\n        getChannels('sourceLocA', sourceRank - 1).concat('inIdx.a');\n\n    const compOp = (op === 'max') ? 'greaterThan' : 'lessThan';\n    const fetchCandidateIdx = firstPass ? '' : `\n          inIdx = round(vec4(getBestIndicesAChannel(${srcRCoords.join()}),\n                             getBestIndicesAChannel(${srcGCoords.join()}),\n                             getBestIndicesAChannel(${srcBCoords.join()}),\n                             getBestIndicesAChannel(${srcACoords.join()})));`;\n\n    const fetchValue = `vec4(\n            getAChannel(${srcRCoords.join()}),\n            hasNextCol ? getAChannel(${srcGCoords.join()}) : 0.,\n            hasNextRow ? getAChannel(${srcBCoords.join()}) : 0.,\n            hasNextRow && hasNextCol ? getAChannel(${srcACoords.join()}) : 0.)`;\n\n    const getBestIndicesAChannelSnippet = firstPass ? '' : `\n      float getBestIndicesAChannel(${intChannels.join()}) {\n        return getChannel(getBestIndicesA(${channels.join()}),\n                                          vec2(${channels.slice(-2).join()}));\n      }`;\n\n    this.userCode = `\n      float getAChannel(${intChannels.join()}) {\n        return getChannel(getA(${channels.join()}),\n                               vec2(${channels.slice(-2).join()}));\n      }\n      ${getBestIndicesAChannelSnippet}\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        bool hasNextCol = ${coords[rank - 1]} < ${outShape[rank - 1] - 1};\n        bool hasNextRow = ${coords[rank - 2]} < ${outShape[rank - 2] - 1};\n        ${sourceLocSetup}\n        ivec4 srcIdx = ivec4(sourceLocR${inChannel}, sourceLocG${inChannel},\n          sourceLocB${inChannel}, sourceLocA${inChannel}) * ${windowSize};\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ${fetchValue};\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          inIdx = srcIdx;\n          ${fetchCandidateIdx}\n          vec4 candidate = ${fetchValue};\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(${compOp}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AvgPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth};\n            wC+= ${dilationWidth}) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class AvgPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = '0.0';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = '1.0';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ${offsetSnippet};\n        float scale = ${scaleSnippet};\n        float inv = scale * inversesqrt(variance + float(${varianceEpsilon}));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = 'vec4(0.0)';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = 'vec4(1.0)';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        vec4 offset = ${offsetSnippet};\n        vec4 scale = ${scaleSnippet};\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(${varianceEpsilon}));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\n// (Ar + Ai)(Br + Bi) =\n// ArBr + ArBi + AiBr + AiBi = ArBr - AB + ArBi + AiBr\n// Yr = ArBr - AB\n// Yi = ArBi + AiBr\nexport const COMPLEX_MULTIPLY = {\n  REAL: 'return areal * breal - aimag * bimag;',\n  IMAG: 'return areal * bimag + aimag * breal;'\n};\n\nexport class BinaryOpComplexProgram implements GPGPUProgram {\n  variableNames = ['AReal', 'AImag', 'BReal', 'BImag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    this.userCode = `\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        ${op}\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nconst CHECK_NAN_SNIPPET = `\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n`;\n\nexport const ADD = 'return a + b;';\nexport const SUB = 'return a - b;';\nexport const MUL = 'return a * b;';\n\n// Without the equality check div produces 0.9999 for a = b, which when\n// floored can cause errors.\nexport const DIV = `\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;`;\n\n// We use native integer division to deal with floating point imprecision. Since\n// we implement floor division and glsl implements truncated division, we\n// correct for this by subtracting 1 from result when the result is negative and\n// there is a remainder.\nexport const INT_DIV = `\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n`;\n\nexport const POW = `\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`;\nexport const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n\nexport const EQUAL = `return float(a == b);`;\n\nexport const NOT_EQUAL = `return float(a != b);`;\n\nexport const LESS = `return float(a < b);`;\n\nexport const LESS_EQUAL = `return float(a <= b);`;\n\nexport const GREATER = `return float(a > b);`;\n\nexport const GREATER_EQUAL = `return float(a >= b);`;\n\nexport const LOGICAL_AND = `return float(a >= 1.0 && b >= 1.0);`;\n\nexport const LOGICAL_OR = `return float(a >= 1.0 || b >= 1.0);`;\n\nexport const MAX = CHECK_NAN_SNIPPET + `\n  return max(a, b);\n`;\nexport const MIN = CHECK_NAN_SNIPPET + `\n  return min(a, b);\n`;\nexport const MOD = `if (b == 0.0) return NAN;\n  return mod(a, b);`;\n\nexport const ATAN2 = CHECK_NAN_SNIPPET + `\n  return atan(a, b);\n`;\n\nexport const ELU_DER = `return (b >= 1.0) ? a : a * (b + 1.0);`;\n\nexport const PRELU = `return (a < 0.) ? b * a : a;`;\n\nexport class BinaryOpProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    this.userCode = `\n      float binaryOperation(float a, float b) {\n        ${op}\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {sizeFromShape} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nconst CHECK_NAN_SNIPPET = `\n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n`;\n\n// We do the same as in ./binaryop_gpu, with vec4 and ivec4.\n// On Linux, the vectorized implementation produces NaNs when a and b are 0.\nexport const DIV = `\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n`;\n\nexport const INT_DIV = `\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n`;\n\nexport const POW = `\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const PRELU = `\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;\n\nexport const ELU_DER = `\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`;\n\nexport const ATAN2 = `\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const EQUAL = `\n  return vec4(equal(a, b));\n`;\n\nexport const NOT_EQUAL = `\n  return vec4(notEqual(a, b));\n`;\n\nexport const LESS = `\n  return vec4(lessThan(a, b));\n`;\n\nexport const LESS_EQUAL = `\n  return vec4(lessThanEqual(a, b));\n`;\n\nexport const GREATER = `\n  return vec4(greaterThan(a, b));\n`;\n\nexport const GREATER_EQUAL = `\n  return vec4(greaterThanEqual(a, b));\n`;\n\nexport const LOGICAL_AND = `\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n`;\n\nexport const LOGICAL_OR = `\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n`;\n\nexport const MAX = `\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MIN = `\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MOD = `\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport class BinaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n  supportsBroadcasting = true;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      op: string, aShape: number[], bShape: number[],\n      checkOutOfBounds = false) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    const rank = this.outputShape.length;\n    let checkOutOfBoundsString = '';\n    if (checkOutOfBounds) {\n      if (rank === 0 || sizeFromShape(this.outputShape) === 1) {\n        checkOutOfBoundsString = `\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        `;\n      } else {\n        const dtype = getCoordsDataType(rank);\n        checkOutOfBoundsString = `\n          ${dtype} coords = getOutputCoords();\n        `;\n        if (rank === 1) {\n          checkOutOfBoundsString += `\n            result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          `;\n        } else {\n          const channels = getChannels('coords', rank);\n          checkOutOfBoundsString += `\n            bool nextRowOutOfBounds =\n              (${channels[rank - 2]} + 1) >= ${this.outputShape[rank - 2]};\n            bool nextColOutOfBounds =\n              (${channels[rank - 1]} + 1) >= ${this.outputShape[rank - 1]};\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          `;\n        }\n      }\n    }\n\n    this.userCode = `\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        ${op}\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ${checkOutOfBoundsString}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ComplexAbsProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(shape: number[]) {\n    this.outputShape = shape;\n    this.userCode = `\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ConcatProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  // Concats 2d tensors along axis=1. See comments in MathBackendWebGL.concat().\n  constructor(shapes: Array<[number, number]>) {\n    this.outputShape = concat_util.computeOutShape(shapes, 1 /* axis */);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][1];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][1];\n    }\n\n    const snippets = [`if (yC < ${offsets[0]}) setOutput(getT0(yR, yC));`];\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      snippets.push(\n          `else if (yC < ${offsets[i]}) ` +\n          `setOutput(getT${i}(yR, yC-${shift}));`);\n    }\n    const lastIndex = offsets.length;\n    const lastShift = offsets[offsets.length - 1];\n    snippets.push(`else setOutput(getT${lastIndex}(yR, yC-${lastShift}));`);\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        ${snippets.join('\\n        ')}\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ConcatPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(shapes: number[][], axis: number) {\n    this.outputShape = concat_util.computeOutShape(shapes, axis);\n    const shape = this.outputShape;\n    const rank = shape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][axis];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][axis];\n    }\n\n    const channel = channels[axis];\n    const lastChannels = channels.slice(-2);\n    const allChannels = channels.join();\n\n    let getValueSnippet = `if (${channel} < ${offsets[0]}) {\n        return getChannel(\n            getT0(${allChannels}), vec2(${lastChannels.join()}));\n        }`;\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      // Note: the >= comparison below may seem unnecessary given the check\n      // above but is needed to workaround branch execution issues on some\n      // devices. It makes all the conditions exclusive without relying on\n      // execution order.\n      getValueSnippet += `\n        if (${channel} < ${offsets[i]}  && ${channel} >= ${offsets[i - 1]}) {\n          return getChannel(\n            getT${i}(${shiftedChannels(channels, channel, shift)}),\n            vec2(${shiftedChannels(lastChannels, channel, shift)}));\n        }`;\n    }\n    const lastIndex = offsets.length;\n    const shift = offsets[offsets.length - 1];\n    getValueSnippet += `\n        return getChannel(\n          getT${lastIndex}(${shiftedChannels(channels, channel, shift)}),\n          vec2(${shiftedChannels(lastChannels, channel, shift)}));`;\n\n    this.userCode = `\n      float getValue(${channels.map(x => 'int ' + x)}) {\n        ${getValueSnippet}\n      }\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        vec4 result = vec4(getValue(${coords}), 0., 0., 0.);\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} + 1;\n        if (${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.g = getValue(${coords});\n        }\n\n        ${coords[rank - 2]} = ${coords[rank - 2]} + 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]}) {\n          result.a = getValue(${coords});\n        }\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} - 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]} &&\n            ${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.b = getValue(${coords});\n        }\n        setOutput(result);\n      }\n    `;\n  }\n}\n\n/**\n * Return an expression for coordinates into a vector where a given channel\n * will be offset by [shift].\n *\n * @param channels the channels to consider\n * @param channel the channel we want shifted\n * @param shift  the amount to subtract from the channel.\n *\n * @returns a string of the form 'x, y-[shift], z' where any one channel can\n * have the shift applied.\n */\nfunction shiftedChannels(channels: string[], channel: string, shift: number) {\n  const channelIdx = channels.indexOf(channel);\n  const res = channels.map((c, idx) => {\n    if (idx === channelIdx) {\n      return `${c} - ${shift}`;\n    } else {\n      return c;\n    }\n  });\n  return res.join();\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              if (${isChannelsLast}) {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[${channelDim}];\n\n        ivec2 dyCorner = ivec2(coords[${rowDim}], coords[${colDim}]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n\n              if (${isChannelsLast}) {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    this.userCode = `\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yF = 0; yF < ${convInfo.outDepth}; yF++) {\n            int xF = wF + yF * ${strideDepth} - ${padFront};\n\n            if (xF < 0 || xF >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n              int xR = wR + yR * ${strideHeight} - ${padTop};\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n                int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padFront = filterDepth - 1 - convInfo.padInfo.front;\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          float dyF = float(dyFCorner + wF) / ${strideDepth}.0;\n\n          if (dyF < 0.0 || dyF >= ${convInfo.outDepth}.0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ${filterDepth} - 1 - wF;\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ${filterHeight} - 1 - wR;\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ${filterWidth} - 1 - wC;\n\n              for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * ${channelMul} + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class DepthwiseConv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < ${channelMul}; dm++) {\n              int d2 = d1 * ${channelMul} + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivationWeights = false) {\n    this.outputShape = convInfo.outShape;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivationWeights) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivationWeights) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[${channelDim}];\n\n        ivec2 xRCCorner =\n            ivec2(coords[${rowDim}], coords[${colDim}]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${convInfo.inWidth}) {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (${inputDepthVec4Remainder === 1}) {\n\n              if (${isChannelsLast}) {\n                dotProd +=\n                    getX(batch, xR, xC, ${inputDepthNearestVec4}) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              } else {\n                dotProd +=\n                    getX(batch, ${inputDepthNearestVec4}, xR, xC) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              }\n\n            } else if (${inputDepthVec4Remainder === 2}) {\n              vec2 wValues = vec2(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (${inputDepthVec4Remainder === 3}) {\n              vec3 wValues = vec3(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 2, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nexport class Conv3DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.outShape;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n\n    this.userCode = `\n      const ivec3 strides = ivec3(${strideDepth}, ${strideHeight}, ${\n        strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          int xF = xFCorner + wF * ${dilationDepth};\n\n          if (xF < 0 || xF >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            int xR = xRCorner + wR * ${dilationHeight};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (${inputDepthVec4Remainder === 1}) {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}) *\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2);\n              } else if (${inputDepthVec4Remainder === 2}) {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (${inputDepthVec4Remainder === 3}) {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ${channelMul};\n        int q = d2 - d1 * ${channelMul};\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${xNumRows}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${xNumCols}) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as util from '../../util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConvPacked2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const texelsAcross = filterWidth;\n\n    let mainLoop = `int xR; int xC; int xCOffset;`;\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `\n          vec4 xTexelR${r}C${c * 2} = vec4(0.);\n          vec4 wR${r}C${c} = vec4(0.);\n          vec4 xR${r}C${c} = vec4(0.);`;\n      }\n    }\n\n    /**\n     * This vectorized implementation works by gathering the values needed for\n     * each output channel's dot product into vec4's and then multiplying them\n     * all together (this happens in the final double for-loop below). Most of\n     * the main loop consists of constructing these vec4's with the minimum\n     * number of texture2D calls, which means making use of all four returned\n     * values from a texture2D call at once.\n     */\n    for (let r = 0; r < filterHeight; r++) {\n      for (let texelC = 0; texelC < texelsAcross; texelC++) {\n        const c = texelC * 2;\n\n        mainLoop += `\n          xR = xRCorner + ${r * dilationHeight};\n          xC = xCCorner + ${c * dilationWidth};\n        `;\n\n        if (strideWidth === 1) {\n          if (c < filterWidth) {\n            // If padding is odd, the outer texels have to be composed.\n            if (padLeft % 2 === 1) {\n              // TODO: Ensure vec4 previous does not result in redundant sample,\n              // and avoid setting xTexelRC's that exceed the boundary in the\n              // first place rather than resetting them to vec4(0)).\n\n              // To compute xCOffset:\n              // - If padding is odd, we must add 1 to ensure we ask for an\n              // even-numbered row.\n              // - We subtract 2 to access the previous texel.\n\n              mainLoop += `\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= ${xNumCols}) {\n                    xTexelR${r}C${c}.zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= ${xNumCols}) {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR${r}C${c} = vec4(previous.zw, xTexelR${r}C${c}.xy);\n                } else {\n                  xR${r}C${c} = vec4(0, 0, xTexelR${r}C${c}.xy);\n                }\n              `;\n            } else {\n              // Padding is even, so xRC corresponds to a single texel.\n              mainLoop += `\n                if(xR >= 0 && xR < ${xNumRows} && xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xR${r}C${c} = xTexelR${r}C${c};\n              `;\n            }\n\n            if (c + 1 < filterWidth) {\n              // If dilation is even, the second entry should match the first\n              // (either both are composed or both are single samples). But if\n              // dilation is odd, then the second entry should be the opposite\n              // of the first (if the first is composed, the second is a single\n              // sample, and vice versa.)\n\n              const nextTexelOffset = padLeft % 2 === 0 ?\n                  util.nearestLargerEven(dilationWidth) :\n                  dilationWidth;\n\n              if ((dilationWidth % 2 === 0 && padLeft % 2 === 1) ||\n                  (dilationWidth % 2 !== 0 && padLeft % 2 !== 1)) {\n                mainLoop += `\n                  xCOffset = xC + ${padLeft % 2} + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n                `;\n\n                // If dilation > 1 then the xRC's will not be able to share any\n                // values, so each xRC will require two unique calls to getX.\n                if (dilationWidth > 1) {\n                  mainLoop += `\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < ${xNumRows} &&\n                      xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                      xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR${r}C${c} = vec4(0.);\n                    }\n                  `;\n                }\n\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.xy);\n                `;\n              } else {\n                mainLoop += `\n                  xCOffset = xC + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR${r}C${c + 1} = xTexelR${r}C${c + 2};\n                `;\n              }\n            }\n          }\n        } else {  // stride > 1\n          if (c < filterWidth) {\n            mainLoop += `\n              if(xR >= 0 && xR < ${xNumRows}) {\n            `;\n\n            // Depending on whether padLeft is even or odd, we want either the\n            // xy or zw channels from X texels for xR${r}C${c}. If padLeft is\n            // even, xR${r}C${c + 1} is simply the zw channels of texels we've\n            // already sampled. But if padLeft is odd, xR${r}C{$c + 1}.zw will\n            // need to come from the xy channels of a new texel, hence the `vec4\n            // final` initialized below.\n            if (padLeft % 2 === 1) {\n              mainLoop += `\n                xCOffset = xC + 1 - ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + ${strideWidth};\n                  if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR${r}C${c + 1} = vec4(xTexelR${r}C${c + 2}.xy, final.xy);\n                `;\n              }\n            } else {\n              mainLoop += `\n                if(xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.xy, xTexelR${r}C${c + 2}.xy);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n                `;\n              }\n            }\n\n            mainLoop += `}`;\n          }\n        }\n\n        if (c < filterWidth) {\n          mainLoop += `\n            vec4 wTexelR${r}C${c} = getW(${r}, ${c}, d1, q);\n            wR${r}C${c} = vec4(wTexelR${r}C${c}.xz, wTexelR${r}C${c}.xz);\n          `;\n\n          if (c + 1 < filterWidth) {\n            mainLoop += `\n              vec4 wTexelR${r}C${c + 1} = getW(${r}, ${c + 1}, d1, q);\n              wR${r}C${c + 1} =\n                vec4(wTexelR${r}C${c + 1}.xz, wTexelR${r}C${c + 1}.xz);`;\n          }\n        }\n      }\n    }\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `dotProd += xR${r}C${c} * wR${r}C${c};`;\n      }\n    }\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        ${mainLoop}\n\n        vec4 result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class CropAndResizeProgram implements GPGPUProgram {\n  variableNames = ['Image', 'Boxes', 'BoxInd'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      imageShape: [number, number, number, number], boxShape: [number, number],\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number) {\n    const [batch, imageHeight, imageWidth, depth] = imageShape;\n    const [numBoxes, ] = boxShape;\n    const [cropHeight, cropWidth] = cropSize;\n    this.outputShape = [numBoxes, cropHeight, cropWidth, depth];\n    const methodId = method === 'bilinear' ? 1 : 0;\n\n    const [inputHeightFloat, inputWidthFloat] =\n        [`${imageHeight - 1}.0`, `${imageWidth - 1}.0`];\n\n    const [heightRatio, heightScale, inY] = cropHeight > 1 ?\n        [\n          `${(imageHeight - 1) / (cropHeight - 1)}`,\n          '(y2-y1) * height_ratio',\n          `y1*${inputHeightFloat} + float(y)*(height_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (y1+y2) * ${inputHeightFloat}`,\n        ];\n    const [widthRatio, widthScale, inX] = cropWidth > 1 ?\n        [\n          `${(imageWidth - 1) / (cropWidth - 1)}`,\n          '(x2-x1) * width_ratio',\n          `x1*${inputWidthFloat} + float(x)*(width_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (x1+x2) * ${inputWidthFloat}`,\n        ];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op_gpu.cu.cc\n    this.userCode = `\n      const float height_ratio = float(${heightRatio});\n      const float width_ratio = float(${widthRatio});\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ${batch}) {\n          return;\n        }\n\n        float height_scale = ${heightScale};\n        float width_scale = ${widthScale};\n\n        float in_y = ${inY};\n        if( in_y < 0.0 || in_y > ${inputHeightFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n        float in_x = ${inX};\n        if( in_x < 0.0 || in_x > ${inputWidthFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(${methodId} == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class CumSumProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(shape: number[], exclusive: boolean, reverse: boolean) {\n    this.outputShape = shape;\n    const rank = shape.length;\n    const finalDim = shape[shape.length - 1];\n    const comparator = reverse ? '<' : '>';\n\n    this.userCode = `\n      int getIndex(int i) {\n        ${reverse ? `return ${finalDim} -i - 1;` : 'return i;'}\n      }\n\n      void main() {\n        ${getCoordsDataType(rank)} coords = getOutputCoords();\n        int end = ${getFinalCoord(rank, 'coords')};\n        float val = 0.0;\n        for (int i = ${finalDim} - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx ${comparator} end) {\n            continue;\n          }\n          if (idx == end && ${exclusive}) {\n            continue;\n          }\n          ${getFinalCoord(rank, 'coords')} = idx;\n          val += getX(${getCoords(rank, 'coords')});\n        }\n        setOutput(val);\n      }\n    `;\n  }\n}\n\nfunction getCoords(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.x, ${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.x, ${name}.y, ${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.x, ${name}.y, ${name}.z, ${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n\nfunction getFinalCoord(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: [number, number, number];\n  packedInputs = false;\n  packedOutput = true;\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: [number, number, number];\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthToSpaceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  blockSize: number;\n  dataFormat: string;\n\n  constructor(\n      outputShape: number[], blockSize: number, dataFormat: 'NHWC'|'NCHW') {\n    this.outputShape = outputShape;\n    this.blockSize = blockSize;\n    this.dataFormat = dataFormat;\n    this.userCode = `\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ${this.getHeightCoordString()};\n      int w = ${this.getWidthCoordString()};\n      int d = ${this.getDepthCoordString()};\n\n      int in_h = h / ${blockSize};\n      int offset_h = imod(h, ${blockSize});\n      int in_w = w / ${blockSize};\n      int offset_w = imod(w, ${blockSize});\n      int offset_d = (offset_h * ${blockSize} + offset_w) *\n        ${this.getOutputDepthSize()};\n      int in_d = d + offset_d;\n\n      float result = ${this.getInputSamplingString()};\n      setOutput(result);\n    }\n  `;\n  }\n\n  private getHeightCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[1]`;\n    } else {\n      return `coords[2]`;\n    }\n  }\n\n  private getWidthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[2]`;\n    } else {\n      return `coords[3]`;\n    }\n  }\n\n  private getDepthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[3]`;\n    } else {\n      return `coords[1]`;\n    }\n  }\n\n  private getOutputDepthSize(): number {\n    if (this.dataFormat === 'NHWC') {\n      return this.outputShape[3];\n    } else {\n      return this.outputShape[1];\n    }\n  }\n\n  private getInputSamplingString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `getX(b, in_h, in_w, in_d)`;\n    } else {\n      return `getX(b, in_d, in_h, in_w)`;\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DiagProgram implements GPGPUProgram {\n  variableNames = ['X'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(size: number) {\n    this.outputShape = [size, size];\n    this.userCode = `\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        float x = getAAtOutCoords();\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = false;\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: [number, number, number]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class EncodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let output = `result`;\n    if (inputIsUnsignedByte) {\n      output = `floor(result * 255. + 0.5)`;\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / ${width};\n        int c = imod(flatIndex, ${width});\n        vec2 uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n        vec4 values = ${glsl.texture2D}(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        ${glsl.output} = vec4(${output}, 0., 0., 0.);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\n/*\nThis is how the shader encodes a tensor with shape = [2, 3, 5]\n(indices are [batch, row, col]).\n\n000|001   002|003   004|xxx   020|021   022|023   024|xxx\n-------   -------   -------   -------   -------   -------\n010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\n100|101   102|103   104|xxx   120|121   122|123   124|xxx\n-------   -------   -------   -------   -------   -------\n110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\nSingle texels contain only values from the same batch, and from adjacent rows\nand columns.\n */\n\nexport class EncodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let mainLoop = '';\n    let output = 'result';\n    if (inputIsUnsignedByte) {\n      output = 'floor(result * 255. + 0.5)';\n    }\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        const channel = row * 2 + col;\n\n        mainLoop += `\n          localCoords = coords;\n          if(localCoords[2] + ${col} < ${outputShape[2]}) {\n            localCoords[2] += ${col};\n            if(localCoords[1] + ${row} < ${outputShape[1]}) {\n              localCoords[1] += ${row};\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / ${width};\n              c = imod(flatIndex, ${width});\n              uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n              values = ${glsl.texture2D}(A, uv);\n\n              if(offset == 0) {\n                result[${channel}] = values[0];\n              } else if(offset == 1) {\n                result[${channel}] = values[1];\n              } else if(offset == 2) {\n                result[${channel}] = values[2];\n              } else {\n                result[${channel}] = values[3];\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        ${mainLoop}\n\n        ${glsl.output} = ${output};\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const COMPLEX_FFT = {\n  REAL: 'return real * expR - imag * expI;',\n  IMAG: 'return real * expI + imag * expR;'\n};\n\nexport class FFTProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, inputShape: [number, number], inverse: boolean) {\n    const innerDim = inputShape[1];\n    this.outputShape = inputShape;\n\n    const exponentMultiplierSnippet =\n        inverse ? `2.0 * ${Math.PI}` : `-2.0 * ${Math.PI}`;\n    const resultDenominator = inverse ? `${innerDim}.0` : '1.0';\n\n    this.userCode = `\n      const float exponentMultiplier = ${exponentMultiplierSnippet};\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        ${op}\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float(${innerDim});\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < ${innerDim}; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / ${resultDenominator};\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class FillProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  valueLoc: WebGLUniformLocation;\n\n  constructor(shape: number[], value: number) {\n    this.variableNames = ['x'];\n    this.outputShape = shape;\n\n    this.userCode = `\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(value: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.valueLoc == null) {\n        this.valueLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'value');\n      }\n      gpgpu.gl.uniform1f(this.valueLoc, value);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherProgram implements GPGPUProgram {\n  variableNames = ['A', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], indicesLength: number, axis: number) {\n    const outputShape: number[] = aShape.slice();\n    outputShape[axis] = indicesLength;\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape, axis);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[], axis: number): string {\n  const rank = aShape.length;\n  if (rank > 4) {\n    throw Error(`Gather for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `int(getIndices(resRC))`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    if (i === axis) {\n      sourceCoords.push(`int(getIndices(${currentCoords[i]}))`);\n    } else {\n      sourceCoords.push(`${currentCoords[i]}`);\n    }\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherNDProgram implements GPGPUProgram {\n  variableNames = ['x', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  constructor(\n      private sliceDim: number, private strides: number[], shape: number[]) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    const strideString = this.sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${this.strides});\n         void main() {\n          ${dtype} coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < ${this.sliceDim}; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * ${strideString};\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PixelData, TypedArray} from '../../types';\n\nimport {getGlslDifferences} from './glsl_version';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport * as webgl_util from './webgl_util';\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean): WebGLShader {\n  const glsl = getGlslDifferences();\n  const vertexShaderSource = `${glsl.version}\n    precision highp float;\n    ${glsl.attribute} vec3 clipSpacePos;\n    ${glsl.attribute} vec2 uv;\n    ${glsl.varyingVs} vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }`;\n  return webgl_util.createVertexShader(gl, debug, vertexShaderSource);\n}\n\nexport function createVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // [x y z u v] * [upper-left, lower-left, upper-right, lower-right]\n  const vertexArray = new Float32Array(\n      [-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]);\n  return webgl_util.createStaticVertexBuffer(gl, debug, vertexArray);\n}\n\nexport function createIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // OpenGL (and WebGL) have \"CCW == front\" winding\n  const triangleVertexIndices = new Uint16Array([0, 1, 2, 2, 1, 3]);\n  return webgl_util.createStaticIndexBuffer(gl, debug, triangleVertexIndices);\n}\n\nfunction createAndConfigureTexture(\n    gl: WebGLRenderingContext, debug: boolean, width: number, height: number,\n    internalFormat: number, textureFormat: number,\n    textureType: number): WebGLTexture {\n  webgl_util.validateTextureSize(width, height);\n  const texture = webgl_util.createTexture(gl, debug);\n\n  const tex2d = gl.TEXTURE_2D;\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(tex2d, texture));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MIN_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MAG_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          tex2d, 0, internalFormat, width, height, 0, textureFormat,\n          textureType, null));\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n  return texture;\n}\n\nexport function createFloat32MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatFloat,\n      textureConfig.textureFormatFloat, gl.FLOAT);\n}\n\nexport function createFloat16MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatHalfFloat,\n      textureConfig.textureFormatFloat, textureConfig.textureTypeHalfFloat);\n}\n\nexport function createUnsignedBytesMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE);\n}\n\nexport function createPackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedFloat,\n      gl.RGBA, gl.FLOAT);\n}\n\nexport function createFloat16PackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedHalfFloat,\n      gl.RGBA, textureConfig.textureTypeHalfFloat);\n}\n\nexport function bindVertexProgramAttributeStreams(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    vertexBuffer: WebGLBuffer): boolean {\n  const posOffset = 0;               // x is the first buffer element\n  const uvOffset = 3 * 4;            // uv comes after [x y z]\n  const stride = (3 * 4) + (2 * 4);  // xyz + uv, each entry is 4-byte float.\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer));\n  const success = webgl_util.bindVertexBufferToProgramAttribute(\n      gl, debug, program, 'clipSpacePos', vertexBuffer, 3, stride, posOffset);\n  return success &&\n      webgl_util.bindVertexBufferToProgramAttribute(\n          gl, debug, program, 'uv', vertexBuffer, 2, stride, uvOffset);\n}\n\nexport function uploadDenseMatrixToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    width: number, height: number, data: TypedArray,\n    textureConfig: TextureConfig) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n\n  let dataForUpload: TypedArray, texelDataType: number, internalFormat: number;\n  if (data instanceof Uint8Array) {\n    dataForUpload = new Uint8Array(width * height * 4);\n    texelDataType = gl.UNSIGNED_BYTE;\n    internalFormat = gl.RGBA;\n  } else {\n    dataForUpload = new Float32Array(width * height * 4);\n    texelDataType = gl.FLOAT;\n    internalFormat = textureConfig.internalFormatPackedFloat;\n  }\n\n  dataForUpload.set(data);\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          gl.TEXTURE_2D, 0, internalFormat, width, height, 0, gl.RGBA,\n          texelDataType, dataForUpload));\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function uploadPixelDataToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, pixels.width, pixels.height, 0, gl.RGBA,\n            gl.UNSIGNED_BYTE, (pixels as PixelData).data));\n  } else {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE,\n            pixels as ImageData | HTMLImageElement | HTMLCanvasElement |\n                HTMLVideoElement));\n  }\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function createBufferFromOutputTexture(\n    gl2: WebGL2RenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLBuffer {\n  // Create and bind the buffer.\n  const buffer = gl2.createBuffer();\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer));\n\n  // Initialize the buffer to the size of the texture in bytes.\n  const bytesPerFloat = 4;\n  const valuesPerTexel = 4;\n  const bufferSizeBytes = bytesPerFloat * valuesPerTexel * rows * columns;\n\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.bufferData(\n          gl2.PIXEL_PACK_BUFFER, bufferSizeBytes, gl2.STREAM_READ));\n\n  // Enqueue a command on the GPU command queue to copy of texture into the\n  // buffer.\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.readPixels(0, 0, columns, rows, gl2.RGBA, gl2.FLOAT, 0));\n\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null));\n\n  return buffer;\n}\n\nexport function downloadFloat32MatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer,\n    size: number): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget = new Float32Array(size);\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadByteEncodedFloatMatrixFromOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig) {\n  const [w, h] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n\n  const numChannels = 4;\n  const downloadTarget = new Uint8Array(\n      tex_util.getUnpackedArraySizeFromMatrixSize(rows * columns, numChannels));\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, w, h, textureConfig.downloadTextureFormat, gl.UNSIGNED_BYTE,\n          downloadTarget));\n\n  // By wrapping the buffer in a Float32Array, we use native browser IEEE 754\n  // decoding of the 4 bytes that back each 32 bit float.\n  return new Float32Array(downloadTarget.buffer);\n}\n\nexport function downloadPackedMatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer, batch: number, rows: number,\n    cols: number, physicalRows: number, physicalCols: number,\n    textureConfig: TextureConfig): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget =\n      new Float32Array(tex_util.getPackedRGBAArraySizeFromMatrixShape(\n          physicalRows, physicalCols));\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadMatrixFromPackedOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, physicalRows: number,\n    physicalCols: number): Float32Array {\n  const packedRGBA = new Float32Array(physicalRows * physicalCols * 4);\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, physicalCols, physicalRows, gl.RGBA, gl.FLOAT, packedRGBA));\n\n  return packedRGBA;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {PixelData, TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {getWebGLContext, setWebGLContext} from './canvas_util';\nimport * as gpgpu_util from './gpgpu_util';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport {WebGL1DisjointQueryTimerExtension, WebGL2DisjointQueryTimerExtension} from './webgl_types';\nimport * as webgl_util from './webgl_util';\n\nexport interface FenceContext {\n  query: WebGLQuery|WebGLSync;\n  isFencePassed(): boolean;\n}\n\nexport class GPGPUContext {\n  gl: WebGLRenderingContext;\n  textureFloatExtension: {};\n  textureHalfFloatExtension: {};\n  colorBufferFloatExtension: {};\n  colorBufferHalfFloatExtension: {};\n  disjointQueryTimerExtension: WebGL2DisjointQueryTimerExtension|\n      WebGL1DisjointQueryTimerExtension;\n  vertexBuffer: WebGLBuffer;\n  indexBuffer: WebGLBuffer;\n  framebuffer: WebGLFramebuffer;\n  outputTexture: WebGLTexture|null = null;\n  program: WebGLProgram|null = null;\n  private disposed = false;\n  private disjoint: boolean;\n  private textureConfig: TextureConfig;\n\n  constructor(gl?: WebGLRenderingContext) {\n    const glVersion = env().getNumber('WEBGL_VERSION');\n    if (gl != null) {\n      this.gl = gl;\n      setWebGLContext(glVersion, gl);\n    } else {\n      this.gl = getWebGLContext(glVersion);\n    }\n    // WebGL 2.0 enables texture floats without an extension.\n    let COLOR_BUFFER_FLOAT = 'WEBGL_color_buffer_float';\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (env().getNumber('WEBGL_VERSION') === 1) {\n      const TEXTURE_FLOAT = 'OES_texture_float';\n      const TEXTURE_HALF_FLOAT = 'OES_texture_half_float';\n\n      this.textureFloatExtension =\n          webgl_util.getExtensionOrThrow(this.gl, this.debug, TEXTURE_FLOAT);\n      if (webgl_util.hasExtension(this.gl, TEXTURE_HALF_FLOAT)) {\n        this.textureHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, TEXTURE_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support half float textures, yet the ' +\n            'environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n\n      this.colorBufferFloatExtension = this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, COLOR_BUFFER_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support color renderable half floats, yet ' +\n            'the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n    } else {\n      COLOR_BUFFER_FLOAT = 'EXT_color_buffer_float';\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_FLOAT)) {\n        this.colorBufferFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      } else if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      } else {\n        throw new Error('GL context does not support color renderable floats');\n      }\n    }\n\n    this.vertexBuffer = gpgpu_util.createVertexBuffer(this.gl, this.debug);\n    this.indexBuffer = gpgpu_util.createIndexBuffer(this.gl, this.debug);\n    this.framebuffer = webgl_util.createFramebuffer(this.gl, this.debug);\n\n    this.textureConfig =\n        tex_util.getTextureConfig(this.gl, this.textureHalfFloatExtension);\n  }\n\n  private get debug(): boolean {\n    return env().getBool('DEBUG');\n  }\n\n  public dispose() {\n    if (this.disposed) {\n      return;\n    }\n    if (this.program != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound WebGLProgram.' +\n          ' This is probably a resource leak, delete the program with ' +\n          'GPGPUContext.deleteProgram before disposing.');\n    }\n    if (this.outputTexture != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound output matrix ' +\n          'texture.  This is probably a resource leak, delete the output ' +\n          'matrix texture with GPGPUContext.deleteMatrixTexture before ' +\n          'disposing.');\n    }\n    const gl = this.gl;\n    webgl_util.callAndCheck(gl, this.debug, () => gl.finish());\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteFramebuffer(this.framebuffer));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteBuffer(this.indexBuffer));\n    this.disposed = true;\n  }\n\n  public createFloat32MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat32MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createFloat16MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createUnsignedBytesMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createUnsignedBytesMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public uploadPixelDataToTexture(\n      texture: WebGLTexture,\n      pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadPixelDataToTexture(this.gl, this.debug, texture, pixels);\n  }\n\n  public uploadDenseMatrixToTexture(\n      texture: WebGLTexture, width: number, height: number, data: TypedArray) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadDenseMatrixToTexture(\n        this.gl, this.debug, texture, width, height, data, this.textureConfig);\n  }\n\n  public createFloat16PackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16PackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createPackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createPackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public deleteMatrixTexture(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    if (this.outputTexture === texture) {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n      this.outputTexture = null;\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.deleteTexture(texture));\n  }\n\n  public downloadByteEncodedFloatMatrixFromOutputTexture(\n      texture: WebGLTexture, rows: number, columns: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadByteEncodedFloatMatrixFromOutputTexture(\n            this.gl, this.debug, rows, columns, this.textureConfig));\n  }\n\n  public downloadPackedMatrixFromBuffer(\n      buffer: WebGLBuffer, batch: number, rows: number, columns: number,\n      physicalRows: number, physicalCols: number): Float32Array {\n    return gpgpu_util.downloadPackedMatrixFromBuffer(\n        this.gl, buffer, batch, rows, columns, physicalRows, physicalCols,\n        this.textureConfig);\n  }\n\n  public downloadFloat32MatrixFromBuffer(buffer: WebGLBuffer, size: number):\n      Float32Array {\n    return gpgpu_util.downloadFloat32MatrixFromBuffer(this.gl, buffer, size);\n  }\n\n  public createBufferFromTexture(\n      texture: WebGLTexture, rows: number, columns: number): WebGLBuffer {\n    this.bindTextureToFrameBuffer(texture);\n    const result = gpgpu_util.createBufferFromOutputTexture(\n        this.gl as WebGL2RenderingContext, this.debug, rows, columns,\n        this.textureConfig);\n    this.unbindTextureToFrameBuffer();\n    return result;\n  }\n\n  public createAndWaitForFence(): Promise<void> {\n    const fenceContext = this.createFence(this.gl);\n    return this.pollFence(fenceContext);\n  }\n\n  private createFence(gl: WebGLRenderingContext): FenceContext {\n    let query: WebGLQuery|WebGLSync;\n    let isFencePassed: () => boolean;\n\n    if (env().getBool('WEBGL_FENCE_API_ENABLED')) {\n      const gl2 = gl as WebGL2RenderingContext;\n\n      const sync = gl2.fenceSync(gl2.SYNC_GPU_COMMANDS_COMPLETE, 0);\n      gl.flush();\n\n      isFencePassed = () => {\n        const status = gl2.clientWaitSync(sync, 0, 0);\n        return status === gl2.ALREADY_SIGNALED ||\n            status === gl2.CONDITION_SATISFIED;\n      };\n\n      query = sync;\n    } else if (\n        env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0) {\n      query = this.beginQuery();\n      this.endQuery();\n      isFencePassed = () => this.isQueryAvailable(\n          query,\n          env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n    } else {\n      // If we have no way to fence, return true immediately. This will fire in\n      // WebGL 1.0 when there is no disjoint query timer. In this case, because\n      // the fence passes immediately, we'll immediately ask for a download of\n      // the texture, which will cause the UI thread to hang.\n      isFencePassed = () => true;\n    }\n\n    return {query, isFencePassed};\n  }\n\n  public downloadMatrixFromPackedTexture(\n      texture: WebGLTexture, physicalRows: number,\n      physicalCols: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadMatrixFromPackedOutputTexture(\n            this.gl, this.debug, physicalRows, physicalCols));\n  }\n\n  private vertexAttrsAreBound = false;\n\n  public createProgram(fragmentShaderSource: string): WebGLProgram {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    const fragmentShader: WebGLShader =\n        webgl_util.createFragmentShader(gl, this.debug, fragmentShaderSource);\n    const vertexShader: WebGLShader =\n        gpgpu_util.createVertexShader(gl, this.debug);\n    const program: WebGLProgram = webgl_util.createProgram(\n        gl,\n        this.debug,\n    );\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, vertexShader));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, fragmentShader));\n    webgl_util.linkProgram(gl, this.debug, program);\n    if (this.debug) {\n      webgl_util.validateProgram(gl, this.debug, program);\n    }\n    if (!this.vertexAttrsAreBound) {\n      this.setProgram(program);\n      this.vertexAttrsAreBound = gpgpu_util.bindVertexProgramAttributeStreams(\n          gl, this.debug, this.program, this.vertexBuffer);\n    }\n    return program;\n  }\n\n  public deleteProgram(program: WebGLProgram) {\n    this.throwIfDisposed();\n    if (program === this.program) {\n      this.program = null;\n    }\n    if (program != null) {\n      webgl_util.callAndCheck(\n          this.gl, this.debug, () => this.gl.deleteProgram(program));\n    }\n  }\n\n  public setProgram(program: WebGLProgram|null) {\n    this.throwIfDisposed();\n    this.program = program;\n    if ((this.program != null) && this.debug) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.useProgram(program));\n  }\n\n  public getUniformLocation(\n      program: WebGLProgram, uniformName: string,\n      shouldThrow = true): WebGLUniformLocation {\n    this.throwIfDisposed();\n    if (shouldThrow) {\n      return webgl_util.getProgramUniformLocationOrThrow(\n          this.gl, this.debug, program, uniformName);\n    } else {\n      return webgl_util.getProgramUniformLocation(\n          this.gl, program, uniformName);\n    }\n  }\n\n  public getAttributeLocation(program: WebGLProgram, attribute: string):\n      number {\n    this.throwIfDisposed();\n    return webgl_util.callAndCheck(\n        this.gl, this.debug,\n        () => this.gl.getAttribLocation(program, attribute));\n  }\n\n  public getUniformLocationNoThrow(program: WebGLProgram, uniformName: string):\n      WebGLUniformLocation {\n    this.throwIfDisposed();\n    return this.gl.getUniformLocation(program, uniformName);\n  }\n\n  public setInputMatrixTexture(\n      inputMatrixTexture: WebGLTexture, uniformLocation: WebGLUniformLocation,\n      textureUnit: number) {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    webgl_util.bindTextureToProgramUniformSampler(\n        this.gl, this.debug, this.program, inputMatrixTexture, uniformLocation,\n        textureUnit);\n  }\n\n  public setOutputMatrixTexture(\n      outputMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.setOutputMatrixTextureDriver(outputMatrixTexture, columns, rows);\n  }\n\n  public setOutputPackedMatrixTexture(\n      outputPackedMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.throwIfDisposed();\n    const [width, height] =\n        tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n    this.setOutputMatrixTextureDriver(outputPackedMatrixTexture, width, height);\n  }\n\n  public setOutputMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    this.setOutputMatrixWriteRegionDriver(\n        startColumn, startRow, numColumns, numRows);\n  }\n\n  public setOutputPackedMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    throw new Error('setOutputPackedMatrixWriteRegion not implemented.');\n  }\n\n  public debugValidate() {\n    if (this.program != null) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.validateFramebuffer(this.gl);\n  }\n\n  public executeProgram() {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    const gl = this.gl;\n    if (this.debug) {\n      this.debugValidate();\n    }\n    webgl_util.callAndCheck(\n        gl, this.debug,\n        () => gl.drawElements(gl.TRIANGLES, 6, gl.UNSIGNED_SHORT, 0));\n  }\n\n  public blockUntilAllProgramsCompleted() {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(this.gl, this.debug, () => this.gl.finish());\n  }\n\n  private getQueryTimerExtension(): WebGL1DisjointQueryTimerExtension\n      |WebGL2DisjointQueryTimerExtension {\n    if (this.disjointQueryTimerExtension == null) {\n      this.disjointQueryTimerExtension =\n          webgl_util.getExtensionOrThrow(\n              this.gl, this.debug,\n              env().getNumber(\n                  'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2 ?\n                  'EXT_disjoint_timer_query_webgl2' :\n                  'EXT_disjoint_timer_query') as\n              WebGL1DisjointQueryTimerExtension |\n          WebGL2DisjointQueryTimerExtension;\n    }\n    return this.disjointQueryTimerExtension;\n  }\n\n  private getQueryTimerExtensionWebGL2(): WebGL2DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension();\n  }\n\n  private getQueryTimerExtensionWebGL1(): WebGL1DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension() as WebGL1DisjointQueryTimerExtension;\n  }\n\n  beginQuery(): WebGLQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const query = gl2.createQuery();\n      gl2.beginQuery(ext.TIME_ELAPSED_EXT, query);\n      return query;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    const query = ext.createQueryEXT() as WebGLQuery;\n    ext.beginQueryEXT(ext.TIME_ELAPSED_EXT, query);\n    return query;\n  }\n\n  endQuery() {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n      gl2.endQuery(ext.TIME_ELAPSED_EXT);\n      return;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    ext.endQueryEXT(ext.TIME_ELAPSED_EXT);\n  }\n\n  public async waitForQueryAndGetTime(query: WebGLQuery): Promise<number> {\n    await util.repeatedTry(\n        () => this.disposed ||  // while testing contexts are created / disposed\n                                // in rapid succession, so without this check we\n                                // may poll for the query timer indefinitely\n            this.isQueryAvailable(\n                query,\n                env().getNumber(\n                    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION')));\n    return this.getQueryTime(\n        query, env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n  }\n\n  private getQueryTime(query: WebGLQuery, queryTimerVersion: number): number {\n    if (queryTimerVersion === 0) {\n      return null;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n\n      const timeElapsedNanos = gl2.getQueryParameter(query, gl2.QUERY_RESULT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const timeElapsedNanos =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_EXT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    }\n  }\n\n  private isQueryAvailable(query: WebGLQuery, queryTimerVersion: number):\n      boolean {\n    if (queryTimerVersion === 0) {\n      return true;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const available =\n          gl2.getQueryParameter(query, gl2.QUERY_RESULT_AVAILABLE);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const available =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_AVAILABLE_EXT);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    }\n  }\n\n  pollFence(fenceContext: FenceContext) {\n    return new Promise<void>(resolve => {\n      this.addItemToPoll(() => fenceContext.isFencePassed(), () => resolve());\n    });\n  }\n\n  private itemsToPoll: PollItem[] = [];\n\n  pollItems(): void {\n    // Find the last query that has finished.\n    const index = linearSearchLastTrue(this.itemsToPoll.map(x => x.isDoneFn));\n    for (let i = 0; i <= index; ++i) {\n      const {resolveFn} = this.itemsToPoll[i];\n      resolveFn();\n    }\n    this.itemsToPoll = this.itemsToPoll.slice(index + 1);\n  }\n\n  private addItemToPoll(isDoneFn: () => boolean, resolveFn: () => void) {\n    this.itemsToPoll.push({isDoneFn, resolveFn});\n    if (this.itemsToPoll.length > 1) {\n      // We already have a running loop that polls.\n      return;\n    }\n    // Start a new loop that polls.\n    util.repeatedTry(() => {\n      this.pollItems();\n      // End the loop if no more items to poll.\n      return this.itemsToPoll.length === 0;\n    });\n  }\n\n  private bindTextureToFrameBuffer(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    webgl_util.bindColorTextureToFramebuffer(\n        this.gl, this.debug, texture, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(this.gl);\n    }\n  }\n\n  private unbindTextureToFrameBuffer() {\n    if (this.outputTexture != null) {\n      webgl_util.bindColorTextureToFramebuffer(\n          this.gl, this.debug, this.outputTexture, this.framebuffer);\n      if (this.debug) {\n        webgl_util.validateFramebuffer(this.gl);\n      }\n    } else {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n    }\n  }\n\n  private downloadMatrixDriver(\n      texture: WebGLTexture,\n      downloadAndDecode: () => Float32Array): Float32Array {\n    this.bindTextureToFrameBuffer(texture);\n    const result = downloadAndDecode();\n    this.unbindTextureToFrameBuffer();\n\n    return result;\n  }\n\n  private setOutputMatrixTextureDriver(\n      outputMatrixTextureMaybePacked: WebGLTexture, width: number,\n      height: number) {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    webgl_util.bindColorTextureToFramebuffer(\n        gl, this.debug, outputMatrixTextureMaybePacked, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(gl);\n    }\n    this.outputTexture = outputMatrixTextureMaybePacked;\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.viewport(0, 0, width, height));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.scissor(0, 0, width, height));\n  }\n\n  private setOutputMatrixWriteRegionDriver(\n      x: number, y: number, width: number, height: number) {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.scissor(x, y, width, height));\n  }\n\n  private throwIfDisposed() {\n    if (this.disposed) {\n      throw new Error('Attempted to use disposed GPGPUContext.');\n    }\n  }\n\n  private throwIfNoProgram() {\n    if (this.program == null) {\n      throw new Error('No GPU program is currently set.');\n    }\n  }\n}\n\ntype PollItem = {\n  isDoneFn: () => boolean,\n  resolveFn: () => void\n};\n\n/**\n * Finds the index of the last true element using linear search.\n * Note: We can't do binary search because Chrome expects us to explicitly\n * test all fences before download:\n * https://github.com/tensorflow/tfjs/issues/1145\n */\nexport function linearSearchLastTrue(arr: Array<() => boolean>): number {\n  let i = 0;\n  for (; i < arr.length; ++i) {\n    const isDone = arr[i]();\n    if (!isDone) {\n      break;\n    }\n  }\n  return i - 1;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\nimport {Tensor} from '../../tensor';\nimport {TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport * as shader_compiler from './shader_compiler';\nimport {InputInfo, ShapeInfo} from './shader_compiler';\nimport {PackingScheme, TextureData, TextureUsage} from './tex_util';\n\nexport interface GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  /** If true, this program expects packed input textures. Defaults to false. */\n  packedInputs?: boolean;\n  /** If true, this program produces a packed texture. Defaults to false. */\n  packedOutput?: boolean;\n  /**\n   * Affects what type of texture we allocate for the output. Defaults to\n   * `TextureUsage.RENDER`.\n   */\n  outTexUsage?: TextureUsage;\n  /**\n   * The type of scheme to use when packing texels for the output values.\n   * See `PackingScheme` for details. Defaults to `PackingScheme.SHARED_BATCH`.\n   */\n  outPackingScheme?: PackingScheme;\n}\n\nexport interface GPGPUBinary {\n  webGLProgram: WebGLProgram;\n  program: GPGPUProgram;\n  uniformLocations: {[name: string]: WebGLUniformLocation};\n  source: string;\n  inShapeInfos: ShapeInfo[];\n  outShapeInfo: ShapeInfo;\n  infLoc: WebGLUniformLocation;\n  nanLoc: WebGLUniformLocation;\n}\n\nexport interface TensorData {\n  shape: number[];\n  texData: TextureData;\n  isUniform: boolean;\n  // Available when we decide to upload as uniform instead of texture.\n  uniformValues?: TypedArray;\n}\n\nexport function compileProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, program: GPGPUProgram, inputs: TensorData[],\n    output: TensorData): GPGPUBinary {\n  const userCode = program.userCode;\n  const inputInfos: InputInfo[] = inputs.map((input, i) => {\n    const shapeInfo: ShapeInfo = {\n      logicalShape: input.shape,\n      texShape: input.isUniform ? null : input.texData.texShape,\n      isUniform: input.isUniform,\n      isPacked: input.isUniform ? false : input.texData.isPacked,\n      flatOffset: null\n    };\n    if (input.texData != null && input.texData.slice != null &&\n        input.texData.slice.flatOffset > 0) {\n      shapeInfo.flatOffset = input.texData.slice.flatOffset;\n    }\n    return {name: program.variableNames[i], shapeInfo};\n  });\n  const inShapeInfos = inputInfos.map(x => x.shapeInfo);\n  const outShapeInfo: ShapeInfo = {\n    logicalShape: output.shape,\n    texShape: output.texData.texShape,\n    isUniform: false,\n    isPacked: output.texData.isPacked,\n    flatOffset: null\n  };\n  const source = shader_compiler.makeShader(\n      inputInfos, outShapeInfo, userCode, program.packedInputs);\n\n  const webGLProgram = gpgpu.createProgram(source);\n\n  // Add special uniforms (NAN, INFINITY)\n  let infLoc: WebGLUniformLocation = null;\n  const nanLoc = gpgpu.getUniformLocation(webGLProgram, 'NAN', false);\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    infLoc = gpgpu.getUniformLocation(webGLProgram, 'INFINITY', false);\n  }\n\n  // Add user-defined uniforms\n  const uniformLocations: {[name: string]: WebGLUniformLocation} = {};\n  for (let i = 0; i < program.variableNames.length; i++) {\n    const varName = program.variableNames[i];\n    const shouldThrow = false;\n    uniformLocations[varName] =\n        gpgpu.getUniformLocation(webGLProgram, varName, shouldThrow);\n    uniformLocations[`offset${varName}`] =\n        gpgpu.getUniformLocation(webGLProgram, `offset${varName}`, shouldThrow);\n  }\n\n  return {\n    program,\n    source,\n    webGLProgram,\n    uniformLocations,\n    inShapeInfos,\n    outShapeInfo,\n    infLoc,\n    nanLoc,\n  };\n}\n\nfunction validateBinaryAndProgram(\n    shapeInfos: ShapeInfo[], inputs: TensorData[]) {\n  if (shapeInfos.length !== inputs.length) {\n    throw Error(\n        `Binary was compiled with ${shapeInfos.length} inputs, but ` +\n        `was executed with ${inputs.length} inputs`);\n  }\n\n  shapeInfos.forEach((s, i) => {\n    const shapeA = s.logicalShape;\n    const input = inputs[i];\n    const shapeB = input.shape;\n\n    if (!util.arraysEqual(shapeA, shapeB)) {\n      throw Error(\n          `Binary was compiled with different shapes than ` +\n          `the current args. Shapes ${shapeA} and ${shapeB} must match`);\n    }\n    // The input is uploaded as uniform.\n    if (s.isUniform && input.isUniform) {\n      return;\n    }\n\n    const texShapeA = s.texShape;\n    const texShapeB = input.isUniform ? null : input.texData.texShape;\n    if (!util.arraysEqual(texShapeA, texShapeB)) {\n      throw Error(\n          `Binary was compiled with different texture shapes than the` +\n          ` current args. Shape ${texShapeA} and ${texShapeB} must match`);\n    }\n  });\n}\n\nexport function runProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, binary: GPGPUBinary, inputs: TensorData[],\n    output: TensorData,\n    customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) =>\n        void): void {\n  validateBinaryAndProgram(binary.inShapeInfos, inputs);\n  validateBinaryAndProgram([binary.outShapeInfo], [output]);\n\n  const outTex = output.texData.texture;\n  const outTexShape = output.texData.texShape;\n  if (output.texData.isPacked) {\n    gpgpu.setOutputPackedMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  } else {\n    gpgpu.setOutputMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  }\n  gpgpu.setProgram(binary.webGLProgram);\n\n  // Set special uniforms (NAN, INFINITY)\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    if (binary.infLoc !== null) {\n      gpgpu.gl.uniform1f(binary.infLoc, Infinity);\n    }\n  }\n  if (binary.nanLoc !== null) {\n    gpgpu.gl.uniform1f(binary.nanLoc, NaN);\n  }\n\n  // Set user-defined inputs\n  inputs.forEach((input, i) => {\n    const varName = binary.program.variableNames[i];\n    const varLoc = binary.uniformLocations[varName];\n    const varOffsetLoc = binary.uniformLocations[`offset${varName}`];\n\n    if (varLoc == null) {\n      // The compiler inferred that this variable is not used in this shader.\n      return;\n    }\n\n    if (input.isUniform) {\n      // Upload the values of the tensor as uniform.\n      if (util.sizeFromShape(input.shape) < 2) {\n        gpgpu.gl.uniform1f(varLoc, input.uniformValues[0]);\n      } else {\n        let vals = input.uniformValues;\n        if (!(vals instanceof Float32Array)) {\n          vals = new Float32Array(vals);\n        }\n        gpgpu.gl.uniform1fv(varLoc, vals);\n      }\n      return;\n    }\n\n    // If the input was sliced, upload the flat offset index.\n    if (input.texData.slice != null && varOffsetLoc != null) {\n      gpgpu.gl.uniform1i(varOffsetLoc, input.texData.slice.flatOffset);\n    }\n\n    gpgpu.setInputMatrixTexture(input.texData.texture, varLoc, i);\n  });\n\n  if (customSetup != null) {\n    customSetup(gpgpu, binary.webGLProgram);\n  }\n  gpgpu.executeProgram();\n}\n\nexport function makeShaderKey(\n    program: GPGPUProgram, inputs: TensorData[], output: TensorData): string {\n  let keyInputs = '';\n  inputs.concat(output).forEach(x => {\n    const hasOffset = x.texData != null && x.texData.slice != null &&\n        x.texData.slice.flatOffset > 0;\n    const texShape = x.isUniform ? 'uniform' : x.texData.texShape;\n    keyInputs += `${x.shape}_${texShape}_${hasOffset}`;\n  });\n  const keyUserCode = program.userCode;\n  let key = program.constructor.name;\n  // Fast string concat. See https://jsperf.com/string-concatenation/14.\n  key += '_' + keyInputs + '_' + keyUserCode;\n  return key;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Im2ColPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      outputShape: number[], inputShape: number[], convInfo: Conv2DInfo) {\n    this.outputShape = outputShape;\n\n    const {\n      filterWidth,\n      inChannels,\n      strideWidth,\n      strideHeight,\n      padInfo,\n      outWidth,\n      dilationWidth,\n      dilationHeight,\n      dataFormat\n    } = convInfo;\n    const {left, top} = padInfo;\n    const itemsPerBlockRow = inChannels * filterWidth;\n    const glsl = getGlslDifferences();\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const rowDim = isChannelsLast ? 0 : 1;\n    const colDim = isChannelsLast ? 1 : 2;\n\n    let unrolled = ``;\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        unrolled += `\n          blockIndex = rc.y + ${col};\n          pos = rc.x + ${row};\n\n          if(blockIndex < ${outputShape[1]} && pos < ${outputShape[0]}) {\n            offsetY = int(blockIndex / (${outWidth})) * ${strideHeight} - ${\n            top};\n            d0 = offsetY + ${dilationHeight} * (pos / ${itemsPerBlockRow});\n\n            if(d0 < ${inputShape[rowDim]} && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), ${outWidth}.) * ${\n            strideWidth}. - ${left}.);\n              d1 = offsetX + ${dilationWidth} * (int(mod(float(pos), ${\n            itemsPerBlockRow}.) / ${inChannels}.));\n\n              if(d1 < ${inputShape[colDim]} && d1 >= 0) {\n\n                ch = int(mod(float(pos), ${inChannels}.));\n\n                if (${isChannelsLast}) {\n                  innerDims = vec2(d1, ch);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ${unrolled}\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -${rad}; j <= ${rad}; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ${maxD}) {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ${powOperator};\n        setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNGradProgram implements GPGPUProgram {\n  variableNames = ['inputImage', 'outputImage', 'dy'];\n  outputShape: number[] = [];\n  userCode: string;\n  depthRadius: number;\n  bias: number;\n  alpha: number;\n  beta: number;\n  depth: number;\n\n  constructor(\n      inputShape: number[], depthRadius: number, bias: number, alpha: number,\n      beta: number) {\n    this.outputShape = inputShape;\n    this.depth = inputShape[3];\n    this.depthRadius = depthRadius;\n    this.bias = bias;\n    this.alpha = alpha;\n    this.beta = beta;\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < ${this.depth}; ++d) {\n          int depthBegin = int(max(0.0, float(d - ${depthRadius})));\n          int depthEnd = int(min(float(${this.depth}),\n              float(d + ${depthRadius} + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ${this.depth};\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(${alpha}) * norm + float(${bias});\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(${alpha})\n                * float(${beta})\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ${beta});\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ${this.outputShape[3]};\n        bool hasNextRow = c < ${this.outputShape[2]};\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - ${rad};\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - ${rad}; j <= ${rad}; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${maxD}));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * ${powOperator};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MaxPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex = effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n          wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ${lastIndex} - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ${effectiveFilterWidth} + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class MaxPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex =\n        effectiveFilterDepth * effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n           wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ${lastIndex} -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                  wR * ${effectiveFilterWidth} + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MatMulPackedProgram implements GPGPUProgram {\n  variableNames = ['matrixA', 'matrixB'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      aShape: [number, number, number], outputShape: [number, number, number],\n      transposeA = false, transposeB = false, addBias = false,\n      activation: string = null, hasPreluActivation = false) {\n    this.outputShape = outputShape;\n\n    const sharedDim = transposeA ? aShape[1] : aShape[2];\n    const sharedDimensionPacked = Math.ceil(sharedDim / 2);\n\n    const aSample = transposeA ? 'i * 2, rc.y' : 'rc.y, i * 2';\n    const bSample = transposeB ? 'rc.z, i * 2' : 'i * 2, rc.z';\n    const aSwizzle = transposeA ? ['a.xxyy', 'a.zzww'] : ['a.xxzz', 'a.yyww'];\n    const bSwizzle = transposeB ? ['b.xzxz', 'b.ywyw'] : ['b.xyxy', 'b.zwzw'];\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const float sharedDimension = ${sharedDimensionPacked}.0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < ${sharedDimensionPacked}; i++) {\n          vec4 a = getMatrixA(rc.x, ${aSample});\n          vec4 b = getMatrixB(rc.x, ${bSample});\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += (${aSwizzle[0]} * ${bSwizzle[0]});\n          result += (${aSwizzle[1]} * ${bSwizzle[1]});\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        ${addBiasSnippet}\n\n        ${applyActivationSnippet}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MultinomialProgram implements GPGPUProgram {\n  variableNames = ['probs'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(batchSize: number, numOutcomes: number, numSamples: number) {\n    this.outputShape = [batchSize, numSamples];\n\n    this.userCode = `\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < ${numOutcomes - 1}; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float(${numOutcomes - 1}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(seed: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.seedLoc == null) {\n        this.seedLoc = gpgpu.getUniformLocation(webGLProgram, 'seed');\n      }\n      gpgpu.gl.uniform1f(this.seedLoc, seed);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class OneHotProgram implements GPGPUProgram {\n  variableNames = ['indices'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(\n      numIndices: number, depth: number, onValue: number, offValue: number) {\n    this.outputShape = [numIndices, depth];\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(${offValue}), float(${onValue}),\n                      float(index == coords.y)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape:\n          number[]) {  // TODO(https://github.com/tensorflow/tfjs/issues/893):\n                       // Only input / output 3D tensors.\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    if (rank === 0) {\n      this.userCode = `\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      `;\n    } else {\n      const channels = getChannels('rc', rank);\n      const dtype = getCoordsDataType(rank);\n      const outOfBoundsCondition =\n          getOutOfBoundsCondition(rank, outputShape, channels);\n      const setup = getSetup(\n          rank, outputShape[outputShape.length - 1],\n          outputShape[outputShape.length - 2], channels);\n      const output = getOutput(outputShape, channels);\n\n      this.userCode = `\n        void main() {\n          ${dtype} rc = getOutputCoords();\n\n          if(${outOfBoundsCondition}) {\n            setOutput(vec4(0));\n          } else {\n            ${setup}\n\n            setOutput(vec4(${output}));\n          }\n        }\n      `;\n    }\n  }\n}\n\nfunction getSourceCoordsArr(rank: number, dims: string[]): string[] {\n  const coords = [];\n\n  for (let row = 0; row <= 1; row++) {\n    for (let col = 0; col <= 1; col++) {\n      let coord = `${row === 0 ? 'r' : 'rp1'}, ${col === 0 ? 'c' : 'cp1'}`;\n\n      for (let d = 2; d < rank; d++) {\n        coord = `${dims[dims.length - 1 - d]},` + coord;\n      }\n\n      coords.push(coord);\n    }\n  }\n  return coords;\n}\n\nfunction getOutOfBoundsCondition(\n    rank: number, shape: number[], dims: string[]): string {\n  if (rank === 1) {\n    return `rc > ${shape[0]}`;\n  }\n\n  let cond = '';\n  for (let i = rank - 2; i < rank; i++) {\n    cond += `${dims[i]} >= ${shape[i]}`;\n    if (i < rank - 1) {\n      cond += '||';\n    }\n  }\n\n  return cond;\n}\n\nfunction getSetup(\n    rank: number, cols: number, rows: number, dims: string[]): string {\n  if (rank === 1) {\n    return '';\n  }\n\n  const innerDims = dims.slice(-2);\n\n  return `\n    int r = ${innerDims[0]};\n    int c = ${innerDims[1]};\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= ${cols};\n    bool rEdge = rp1 >= ${rows};\n  `;\n}\n\nfunction getOutput(shape: number[], dims: string[]): string {\n  const rank = shape.length;\n  const sourceCoords = getSourceCoordsArr(rank, dims);\n  if (rank === 1) {\n    return `getA(rc),\n            rc + 1 >= ${shape[0]} ? 0. : getA(rc + 1),\n            0, 0`;\n  }\n\n  return `getA(${sourceCoords[0]}),\n          cEdge ? 0. : getA(${sourceCoords[1]}),\n          rEdge ? 0. : getA(${sourceCoords[2]}),\n          rEdge || cEdge ? 0. : getA(${sourceCoords[3]})`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const type = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const unpackedCoords =\n        ['coords[0]', 'coords[1]', 'coords[2]', 'coords[3]'].slice(0, rank);\n\n    if (rank === 1) {\n      this.userCode = `\n        int start = ${start};\n        int end = ${end};\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float(${constantValue}));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      `;\n      return;\n    }\n    this.userCode = `\n      ${type} start = ${type}(${start});\n      ${type} end = ${type}(${end});\n\n      void main() {\n        ${type} outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float(${constantValue}));\n        } else {\n          ${type} coords = outC - start;\n          setOutput(getX(${unpackedCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const dtype = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const coords = getChannels('rc', rank);\n    const source = getChannels('source', rank);\n    const cLimit = `${coords[rank - 1]} < ${this.outputShape[rank - 1]}`;\n    const innerDims =\n        rank === 1 ? 'source' : `vec2(${source.slice(-2).join()})`;\n\n    const componentSetup = [\n      `${dtype} rc = outputLoc;`, `${coords[rank - 1]} += 1;\n       if(${cLimit}) {\n      `,\n      rank === 1 ? '' : `}\n       rc = outputLoc;\n       ${coords[rank - 2]} += 1;\n       if(${coords[rank - 2]} < ${this.outputShape[rank - 2]}) {`,\n      rank === 1 ? '' : `  ${coords[rank - 1]} += 1;\n         if(${cLimit}) {`\n    ];\n\n    const paddingArea = rank === 1 ?\n        'rc < start || rc >= end' :\n        'any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))';\n    let mainLoop = '';\n    for (let i = 0, j = rank === 1 ? 2 : 4; i < j; i++) {\n      mainLoop += `\n        ${componentSetup[i]}\n        if (${paddingArea}) {\n          result[${i}] = float(${constantValue});\n        } else {\n          ${dtype} source = rc - start;\n          result[${i}] = getChannel(getX(${source.join()}), ${innerDims});\n        }\n      `;\n    }\n    mainLoop += (rank === 1 ? `} ` : `}}`);\n\n    this.userCode = `\n      const ${dtype} start = ${dtype}(${start});\n      const ${dtype} end = ${dtype}(${end});\n\n      void main() {\n        ${dtype} outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ${mainLoop}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Pool2DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, poolType: 'max'|'avg', computePositions: boolean,\n      flattenPositions = false, includeBatchInIndex = false) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n    const batchFlattenPositionStr = `((batch  * ${convInfo.inHeight} + xR) * ${\n        convInfo.inWidth} + xC) * ${convInfo.inChannels} + d`;\n    const flattenPositionStr =\n        `(xR * ${convInfo.inWidth} + xC) * ${convInfo.inChannels} + d`;\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n        const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ${compareOp} currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ${\n          flattenPositions ? (includeBatchInIndex ? batchFlattenPositionStr :\n                                                    flattenPositionStr) :\n                             `wR * ${effectiveFilterWidth} + wC`};\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              getValue(batch, xR, xC + 3 * ${dilationWidth}, d)\n            );\n\n            ${updateSnippet}\n          }\n\n          int xC = xCCorner + ${filterWidthNearestVec4};\n          if (${filterWidthVec4Remainder === 1}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 2}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 3}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              initializationValue\n            );\n\n            ${updateSnippet}\n          }\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n\nexport class Pool3DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv3DInfo, poolType: 'max'|'avg', computePositions: boolean,\n      flattenPositions = false, includeBatchInIndex = false) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec3 strides =\n            ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n        const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ${effectiveFilterDepth};\n              wD += ${dilationDepth}) {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int wR = 0; wR < ${effectiveFilterHeight};\n                wR += ${dilationHeight}) {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int wC = 0; wC < ${effectiveFilterWidth};\n                  wC += ${dilationWidth}) {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ${compareOp} currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ${\n          flattenPositions ?\n              (includeBatchInIndex ?\n                   `(((batch * ${convInfo.inDepth} + xD) * ${\n                       convInfo.inHeight} + xR) * ${convInfo.inWidth} + xC) * ${\n                       convInfo.inChannels} + ch` :\n                   `((xD * ${convInfo.inHeight} + xR) * ${\n                       convInfo.inWidth} + xC) * ${convInfo.inChannels} + ch`) :\n              `wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                      wR * ${effectiveFilterWidth} + wC`};\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec3 strides =\n        ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 3 * ${dilationWidth}, ch)\n              );\n\n              ${updateSnippet}\n            }\n\n            int xC = xCCorner + ${filterWidthNearestVec4};\n            if (${filterWidthVec4Remainder === 1}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 2}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 3}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                initializationValue\n              );\n\n              ${updateSnippet}\n            }\n          }\n          setOutput(${returnValue});\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ReduceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      reduceInfo: ReduceInfo,\n      reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod') {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    let initializationValue = '0.0';\n    let compareOp = ``;\n\n    if (reduceType === 'prod') {\n      initializationValue = '1.0';\n    } else if (reduceType === 'min') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '1.0 / 1e-20';\n      compareOp = `min`;\n    } else if (reduceType === 'max') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n      compareOp = `max`;\n    }\n\n    let returnValue = `${reduceType}(${reduceType}(${reduceType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n\n    if (reduceType === 'sum') {\n      returnValue = `sumValue`;\n    } else if (reduceType === 'prod') {\n      returnValue = `prodValue`;\n    } else if (reduceType === 'all') {\n      returnValue = `allValue`;\n    } else if (reduceType === 'any') {\n      returnValue = `anyValue`;\n    }\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    let updateSnippet = `\n      if (${reduceType === 'sum'}) {\n        sumValue += dot(values, ones);\n      } else if (${reduceType === 'prod'}) {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    let vecType = `vec4`;\n\n    if (reduceType === 'all') {\n      initializationValue = '1.0';\n      updateSnippet = `\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    } else if (reduceType === 'any') {\n      initializationValue = '0.0';\n      updateSnippet = `\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    }\n\n    let checkOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ${checkOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        vec4 minMaxValue = vec4(${initializationValue});\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class ReshapePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: [number, number, number], inputShape: [\n    number, number, number\n  ]) {\n    this.outputShape = outputShape;\n\n    let mainLoop = ``;\n    for (let i = 0; i < 4; i++) {\n      let thisRC = `thisRC = rc;`;\n      if (i % 2 === 1) {\n        thisRC += `thisRC.z += 1;`;\n      }\n      if (i > 1) {\n        thisRC += `thisRC.y += 1;`;\n      }\n\n      mainLoop += `\n        ${thisRC}\n        ${i > 0 ? `if(thisRC.y < rows && thisRC.z < cols){` : ''}\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[${i}] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ${i > 0 ? '}' : ''}\n      `;\n    }\n\n    this.userCode = `\n      ${getReshapedInputCoords(inputShape)}\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ${outputShape[1]};\n        int cols = ${outputShape[2]};\n\n        ${mainLoop}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nfunction getReshapedInputCoords(shape: [number, number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ${xHeight - 1}.0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ${xWidth - 1}.0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec3 inputShapeRC = vec3(${oldHeight}.0, ${oldWidth}.0,\n                                     ${oldWidth}.0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ${depth - 1};\n        bool hasNextRow = coords.z < ${newWidth - 1};\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeigborBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(${effectiveXSize[0]}) *\n                (float(dyR) / float(${effectiveYSize[0]}));\n\n            float sourceFracCol =\n                float(${effectiveXSize[1]}) *\n                  (float(dyC) / float(${effectiveYSize[1]}));\n\n            int sourceNearestRow = int(min(\n                float(int(${xHeight}) - 1),\n                ${alignCorners} ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(${xWidth}) - 1),\n                ${alignCorners} ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeighborProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    // When align corners is false, we rounds the value with floor.\n    const roundBase = alignCorners ? '0.5' : '0.0';\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${roundBase})));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReverseProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n\n    if (rank === 1) {\n      this.userCode = `\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(${xShape[0]} - coord - 1));\n        }\n      `;\n      return;\n    }\n    const getInCoord = (i: number) => {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - coords[${i}] - 1`;\n      }\n      return `coords[${i}]`;\n    };\n    const inCoords = xShape.map((_, i) => getInCoord(i)).join(',');\n    const type = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${type} coords = getOutputCoords();\n        setOutput(getX(${inCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReversePackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n    const channels = getChannels('rc', rank);\n    const nextColumn =\n        `${channels[rank - 1]} + 1 < ${this.outputShape[rank - 1]}`;\n    const nextRow = `${channels[rank - 2]} + 1 < ${this.outputShape[rank - 2]}`;\n    const type = getCoordsDataType(rank);\n    if (rank === 1) {\n      this.userCode = `\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(${xShape[0]} - rc - 1),\n            ${xShape[0]} - rc - 1);\n          if(${nextColumn}){\n              result.g = getChannel(getX(${xShape[0]} - (rc  + 1) - 1),\n                ${xShape[0]} - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      `;\n    } else {\n      this.userCode = `\n        void main() {\n          ${type} rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ${getR(channels.slice())};\n          if(${nextColumn}){\n            result.g = ${getG(channels.slice())};\n          }\n          if(${nextRow}) {\n            result.b = ${getB(channels.slice())};\n            if(${nextColumn}) {\n              result.a = ${getA(channels.slice())};\n            }\n          }\n          setOutput(result);\n        }\n    `;\n    }\n\n    function getR(channels: string[]): string {\n      return getChannel(channels);\n    }\n\n    function getG(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getB(channels: string[]): string {\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getA(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getChannel(channels: string[]): string {\n      const inCoordsArray = xShape.map((_, i) => getInCoord(i, channels));\n      const inCoords = inCoordsArray.join(',');\n      const innerDims = inCoordsArray.slice(-2).join(',');\n      return `getChannel(getX(${inCoords}), vec2(${innerDims}))`;\n    }\n\n    function getInCoord(i: number, channels1: string[]): string {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - ${channels1[i]} - 1`;\n      } else {\n        return `${channels1[i]}`;\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ScatterProgram implements GPGPUProgram {\n  variableNames = ['updates', 'indices', 'defaultValue'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      updateSize: number, sliceDim: number, indicesRank: number,\n      updatesRank: number, strides: number[], shape: number[],\n      summingDupeIndex = true) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    let indicesString = '';\n    if (indicesRank === 1) {\n      indicesString = 'i';\n    } else if (indicesRank === 2) {\n      indicesString = 'i, j';\n    }\n    const indicesSnippet = `getIndices(${indicesString})`;\n\n    let updatesString = '';\n    if (updatesRank === 1) {\n      updatesString = 'i';\n    } else if (updatesRank === 2) {\n      updatesString = 'i, coords[1]';\n    }\n    const updatesSnippet = `getUpdates(${updatesString})`;\n\n    const strideString = sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${strides});\n\n        void main() {\n          ${dtype} coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ${updateSize}; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < ${sliceDim}; j++) {\n              int index = round(${indicesSnippet});\n              flattenedIndex += index * ${strideString};\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += ${updatesSnippet};\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SegOpInfo} from '../../ops/segment_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class SegmentOpProgram implements GPGPUProgram {\n  variableNames = ['x', 'segmentIds'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(segOpInfo: SegOpInfo, segOpType: 'unsortedSegmentSum') {\n    const windowSize = segOpInfo.windowSize;\n    const batchSize = segOpInfo.batchSize;\n    const inSize = segOpInfo.inSize;\n    const numSegments = segOpInfo.numSegments;\n    const outSize = numSegments * Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    const initializationValue = '0.0';\n    const returnValue = `sumValue`;\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    const updateSnippet = `\n        sumValue += dot(values, segFilter);\n    `;\n\n    let checkValueOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkValueOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n\n    let checkSegmentIdOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkSegmentIdOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return -1.0;\n        }\n      `;\n    }\n\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n\n      float getValue(int batch, int inIdx) {\n        ${checkValueOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ${checkSegmentIdOutOfBounds}\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ${numSegments})) * float(${windowSize}));\n        int currentSeg = int(mod(float(outIdx), float(${numSegments})));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SelectProgram implements GPGPUProgram {\n  variableNames = ['c', 'a', 'b'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(cRank: number, shape: number[], rank: number) {\n    this.outputShape = shape;\n\n    let cCoords;\n    let abCoords;\n    if (rank > 4) {\n      throw Error(`Where for rank ${rank} is not yet supported`);\n    }\n\n    if (rank === 1) {\n      abCoords = `resRC`;\n      cCoords = `resRC`;\n    } else {\n      const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n      const cCoordVars = [];\n      const abCoordVars = [];\n      for (let i = 0; i < shape.length; i++) {\n        abCoordVars.push(`${currentCoords[i]}`);\n        if (i < cRank) {\n          cCoordVars.push(`${currentCoords[i]}`);\n        }\n      }\n      cCoords = cCoordVars.join();\n      abCoords = abCoordVars.join();\n    }\n\n    const dtype = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        float cVal = getC(${cCoords});\n        if (cVal >= 1.0) {\n          setOutput(getA(${abCoords}));\n        } else {\n          setOutput(getB(${abCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SliceProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const uniformPart = `uniform int start[${this.rank}];`;\n    const sourceCoords = getCoords(this.rank);\n\n    let body: string;\n    const coordSum = destSize.map((_, i) => {\n      return `sourceLoc.${coords[i]} = start[${i}] + coords.${coords[i]};`;\n    });\n    body = `\n        ${dtype} sourceLoc;\n        ${dtype} coords = getOutputCoords();\n        ${coordSum.join('\\n')}\n      `;\n    this.userCode = `\n      ${uniformPart}\n      void main() {\n        ${body}\n        setOutput(getSource(${sourceCoords}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n\nconst coords = ['x', 'y', 'z', 'w', 'u', 'v'];\n\nfunction getCoords(rank: number): string {\n  if (rank === 1) {\n    return 'sourceLoc';\n  } else if (rank <= 6) {\n    return coords.slice(0, rank).map(x => 'sourceLoc.' + x).join(',');\n  } else {\n    throw Error(`Slicing for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SlicePackedProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const coords = getChannels('coords', this.rank);\n    const sourceLoc = getChannels('sourceLoc', this.rank);\n\n    const innerDims =\n        this.rank === 1 ? 'sourceLoc' : `vec2(${sourceLoc.slice(-2).join()})`;\n    const getChannel =\n        `getChannel(getSource(${sourceLoc.join()}), ${innerDims})`;\n    const upperRow = `\n      result.x = ${getChannel};\n      if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n        ++${sourceLoc[this.rank - 1]};\n        result.y = ${getChannel};\n        --${sourceLoc[this.rank - 1]};\n      }\n    `;\n    const lowerRow = this.rank === 1 ? '' : `\n      --${coords[this.rank - 1]};\n      if (++${coords[this.rank - 2]} < ${destSize[this.rank - 2]}) {\n        ++${sourceLoc[this.rank - 2]};\n        result.z = ${getChannel};\n        if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n          ++${sourceLoc[this.rank - 1]};\n          result.w = ${getChannel};\n        }\n      }\n    `;\n\n    const sourceLocSetup = this.rank <= 4 ?\n        `sourceLoc = coords +\n            ${dtype}(${destSize.map((_, i) => `start[${i}]`).join()});` :\n        destSize.map((_, i) => `${sourceLoc[i]} = ${coords[i]} + start[${i}];`)\n            .join('\\n');\n    this.userCode = `\n      uniform int start[${this.rank}];\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        ${dtype} sourceLoc;\n        ${sourceLocSetup}\n        vec4 result = vec4(0.);\n        ${upperRow}\n        ${lowerRow}\n        setOutput(result);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class StridedSliceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      begin: number[], strides: number[], size: number[]) {\n    this.outputShape = size;\n    const rank = size.length;\n    const inputDtype = getCoordsDataType(size.length);\n    const dtype = getCoordsDataType(size.length);\n\n    let newCoords = '';\n    if (rank === 1) {\n      newCoords = 'coords * strides + begin';\n    } else {\n      let outputAxis = 0;\n      newCoords =\n          size.map((_, i) => {\n                outputAxis++;\n                return size.length === 1 ?\n                    `coords * strides[${i}] + begin[${i}]` :\n                    `coords[${outputAxis - 1}] * strides[${i}] + begin[${i}]`;\n              })\n              .join(',');\n    }\n\n    this.userCode = `\n      ${inputDtype} begin = ${inputDtype}(${begin});\n      ${inputDtype} strides = ${inputDtype}(${strides});\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        setOutput(getX(${newCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {PhysicalTextureType, TextureUsage} from './tex_util';\n\nexport class TextureManager {\n  private numUsedTextures = 0;\n  private numFreeTextures = 0;\n  private freeTextures: {[shape: string]: WebGLTexture[]} = {};\n  private logEnabled = false;\n  private usedTextures: {[shape: string]: WebGLTexture[]} = {};\n\n  constructor(private gpgpu: GPGPUContext) {}\n\n  acquireTexture(\n      shapeRC: [number, number], usage: TextureUsage,\n      isPacked: boolean): WebGLTexture {\n    const physicalTexType = getPhysicalFromLogicalTextureType(usage, isPacked);\n\n    const shapeKey = getKeyFromTextureShape(shapeRC, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    if (!(shapeKey in this.usedTextures)) {\n      this.usedTextures[shapeKey] = [];\n    }\n\n    if (this.freeTextures[shapeKey].length > 0) {\n      this.numFreeTextures--;\n      this.numUsedTextures++;\n      this.log();\n      const newTexture = this.freeTextures[shapeKey].shift();\n      this.usedTextures[shapeKey].push(newTexture);\n      return newTexture;\n    }\n    this.numUsedTextures++;\n    this.log();\n\n    let newTexture: WebGLTexture;\n    if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT32) {\n      newTexture = this.gpgpu.createPackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16PackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT32) {\n      newTexture =\n          this.gpgpu.createFloat32MatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16MatrixTexture(shapeRC[0], shapeRC[1]);\n\n    } else if (\n        physicalTexType === PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE) {\n      newTexture =\n          this.gpgpu.createUnsignedBytesMatrixTexture(shapeRC[0], shapeRC[1]);\n    }\n    this.usedTextures[shapeKey].push(newTexture);\n\n    return newTexture;\n  }\n\n  releaseTexture(\n      texture: WebGLTexture, shape: [number, number],\n      logicalTexType: TextureUsage, isPacked: boolean): void {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    const physicalTexType =\n        getPhysicalFromLogicalTextureType(logicalTexType, isPacked);\n    const shapeKey = getKeyFromTextureShape(shape, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    this.freeTextures[shapeKey].push(texture);\n    this.numFreeTextures++;\n    this.numUsedTextures--;\n    const texList = this.usedTextures[shapeKey];\n    const texIndex = texList.indexOf(texture);\n    if (texIndex < 0) {\n      throw new Error(\n          'Cannot release a texture that was never provided by this ' +\n          'texture manager');\n    }\n    texList.splice(texIndex, 1);\n    this.log();\n  }\n\n  private log() {\n    if (!this.logEnabled) {\n      return;\n    }\n    const total = this.numFreeTextures + this.numUsedTextures;\n    console.log(\n        'Free/Used', `${this.numFreeTextures} / ${this.numUsedTextures}`,\n        `(${total})`);\n  }\n\n  getNumUsedTextures(): number {\n    return this.numUsedTextures;\n  }\n\n  getNumFreeTextures(): number {\n    return this.numFreeTextures;\n  }\n\n  dispose() {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    for (const texShape in this.freeTextures) {\n      this.freeTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    for (const texShape in this.usedTextures) {\n      this.usedTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    this.freeTextures = null;\n    this.usedTextures = null;\n    this.numUsedTextures = 0;\n    this.numFreeTextures = 0;\n  }\n}\n\nfunction getPhysicalTextureForRendering(isPacked: boolean):\n    PhysicalTextureType {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED')) {\n    if (isPacked) {\n      return PhysicalTextureType.PACKED_2X2_FLOAT32;\n    }\n    return PhysicalTextureType.UNPACKED_FLOAT32;\n  }\n\n  if (isPacked) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT16;\n  }\n  return PhysicalTextureType.UNPACKED_FLOAT16;\n}\n\nfunction getPhysicalFromLogicalTextureType(\n    logicalTexType: TextureUsage, isPacked: boolean): PhysicalTextureType {\n  if (logicalTexType === TextureUsage.UPLOAD) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT32;\n  } else if (logicalTexType === TextureUsage.RENDER || logicalTexType == null) {\n    return getPhysicalTextureForRendering(isPacked);\n  } else if (\n      logicalTexType === TextureUsage.DOWNLOAD ||\n      logicalTexType === TextureUsage.PIXELS) {\n    return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;\n  }\n  throw new Error(`Unknown logical texture type ${logicalTexType}`);\n}\n\nfunction getKeyFromTextureShape(\n    shapeRowsCol: [number, number], physicalTexType: PhysicalTextureType,\n    isPacked: boolean): string {\n  return `${shapeRowsCol[0]}_${shapeRowsCol[1]}_${physicalTexType}_${isPacked}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TileProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], reps: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[i] * reps[i];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[]): string {\n  const rank = aShape.length;\n  if (rank > 5) {\n    throw Error(`Tile for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `imod(resRC, ${aShape[0]})`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    sourceCoords.push(`imod(${currentCoords[i]}, ${aShape[i]})`);\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const ERF_P = 0.3275911;\nexport const ERF_A1 = 0.254829592;\nexport const ERF_A2 = -0.284496736;\nexport const ERF_A3 = 1.421413741;\nexport const ERF_A4 = -1.453152027;\nexport const ERF_A5 = 1.061405429;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const SELU_SCALEALPHA = 1.7580993408473768599402175208123;\nexport const SELU_SCALE = 1.0507009873554804934193349852946;\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as erf_util from '../../ops/erf_util';\nimport * as selu_util from '../../ops/selu_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class UnaryOpProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      float unaryOperation(float x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n\nconst CHECK_NAN_SNIPPET = `if (isnan(x)) return x;`;\n\nexport const LINEAR = `return x;`;\n\nexport const ABS = `return abs(x);`;\n\nexport const RELU = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : x;\n`;\n\nexport const RELU6 = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n`;\n\nexport const ELU = `return (x >= 0.0) ? x : (exp(x) - 1.0);`;\n\nexport const SELU = `\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = ${selu_util.SELU_SCALEALPHA};\n  float scale = ${selu_util.SELU_SCALE};\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`;\n\nexport function STEP(alpha = 0.0) {\n  return CHECK_NAN_SNIPPET + `\n    return x > 0.0 ? 1.0 : float(${alpha});\n  `;\n}\n\nexport const NEG = `return -x;`;\n\nexport const CEIL = `return ceil(x);`;\n\nexport const FLOOR = `return floor(x);`;\n\nexport const SIGN = `\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n`;\n\nexport const IS_NAN = `return float(isnan(x));`;\n\nexport const IS_INF = `return float(isinf(x));`;\n\nexport const IS_FINITE = `return float(!isnan(x) && !isinf(x));`;\n\nexport const ROUND = `\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n`;\n\nexport const EXP = `return exp(x);`;\n\nexport const EXPM1 = `return exp(x) - 1.0;`;\n\nexport const LOG = `if (x < 0.0) return NAN;\n  return log(x);`;\n\nexport const LOG1P = `return log(1.0 + x);`;\n\nexport const SQRT = `return sqrt(x);`;\n\nexport const RSQRT = `return inversesqrt(x);`;\n\nexport const SIGMOID = `return 1.0 / (1.0 + exp(-1.0 * x));`;\n\n/**\n * mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n *\n * epsilon is the difference between 1.0 and the next representable\n * float. For a single precision 32 bit float this should be 2^-23, see:\n * https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n *\n * too_large = (x > -threshold) is value above which exp(x) may overflow\n * but softplus(x) == x is within machine epsilon\n *\n * too_small = (x < threshold) is value below which exp(x) may underflow,\n * but softplus(x) == exp(x) is within machine epsilon.\n */\nexport const SOFTPLUS = `\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n`;\n\nexport const SIN = CHECK_NAN_SNIPPET + `\n  return sin(x);\n`;\n\nexport const COS = CHECK_NAN_SNIPPET + `\n  return cos(x);\n`;\n\nexport const TAN = `return tan(x);`;\n\nexport const ASIN = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n`;\n\nexport const ACOS = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n`;\n\nexport const ATAN = CHECK_NAN_SNIPPET + `\n  return atan(x);\n`;\n\nexport const SINH = `\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n`;\n\nexport const COSH = `\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n`;\n\nexport const TANH = `\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`;\n\nexport const ASINH = CHECK_NAN_SNIPPET + `return log(x + sqrt(x * x + 1.0));`;\n\nexport const ACOSH = CHECK_NAN_SNIPPET + `\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));`;\n\nexport const ATANH = CHECK_NAN_SNIPPET + `\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;`;\n\nexport const ERF = `\n  // Error function is calculated approximately with elementary function.\n  // See \"Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n  float p = ${erf_util.ERF_P};\n  float a1 = ${erf_util.ERF_A1};\n  float a2 = ${erf_util.ERF_A2};\n  float a3 = ${erf_util.ERF_A3};\n  float a4 = ${erf_util.ERF_A4};\n  float a5 = ${erf_util.ERF_A5};\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`;\n\nexport const SQUARE = `return x * x;`;\n\nexport const RECIPROCAL = `return 1.0 / x;`;\n\nexport const LOGICAL_NOT = `return float(!(x >= 1.0));`;\n\nexport const TO_INT = `return float(int(x));`;\n\nexport const CLONE = 'return x;';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const LINEAR = `return x;`;\n\nexport const LOG = `\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n`;\n\nexport const RELU = `\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const RELU6 = `\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const ELU = `\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n`;\n\nexport class UnaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      vec4 unaryOperation(vec4 x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels, getSourceCoords} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class UnpackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = false;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: number[]) {\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    const channels = getChannels('rc', rank);\n    const dtype = getCoordsDataType(rank);\n    const sourceCoords = getSourceCoords(rank, channels);\n    const innerDims = channels.slice(-2);\n    const coords = rank <= 1 ? 'rc' : `vec2(${innerDims.join(',')})`;\n\n    this.userCode = `\n      void main() {\n        ${dtype} rc = getOutputCoords();\n        vec4 packedInput = getA(${sourceCoords});\n\n        setOutput(getChannel(packedInput, ${coords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// Import webgl flags.\nimport './flags_webgl';\n\nimport * as device_util from '../../device_util';\nimport {ENGINE, MemoryInfo, TimingInfo} from '../../engine';\nimport {env} from '../../environment';\nimport {tidy} from '../../globals';\nimport {TensorInfo} from '../../kernel_registry';\nimport {warn} from '../../log';\nimport {buffer} from '../../ops/array_ops';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport {computeOutShape} from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {div} from '../../ops/div';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as reduce_util from '../../ops/reduce_util';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as segment_util from '../../ops/segment_util';\nimport * as slice_util from '../../ops/slice_util';\nimport {softmax} from '../../ops/softmax';\nimport {range, scalar, tensor} from '../../ops/tensor_ops';\nimport {transpose} from '../../ops/transpose';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../../tensor';\nimport {BackendValues, DataType, DataTypeMap, NumericDataType, Rank, RecursiveArray, ShapeMap, sumOutType, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, getTypedArrayFromDType, inferDtype, sizeFromShape} from '../../util';\nimport {DataStorage, EPSILON_FLOAT16, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport {mergeRealAndImagArrays} from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {AddNProgram} from './addn_gpu';\nimport {AddNPackedProgram} from './addn_packed_gpu';\nimport {ArgMinMaxProgram} from './argminmax_gpu';\nimport {ArgMinMaxPackedProgram} from './argminmax_packed_gpu';\nimport {AvgPool2DBackpropProgram, AvgPool3DBackpropProgram} from './avg_pool_backprop_gpu';\nimport {BatchNormProgram} from './batchnorm_gpu';\nimport {BatchNormPackedProgram} from './batchnorm_packed_gpu';\nimport * as binaryop_complex_gpu from './binaryop_complex_gpu';\nimport {BinaryOpComplexProgram} from './binaryop_complex_gpu';\nimport * as binaryop_gpu from './binaryop_gpu';\nimport {BinaryOpProgram} from './binaryop_gpu';\nimport * as binaryop_packed_gpu from './binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from './binaryop_packed_gpu';\nimport {getWebGLContext} from './canvas_util';\nimport {ClipProgram} from './clip_gpu';\nimport {ClipPackedProgram} from './clip_packed_gpu';\nimport {ComplexAbsProgram} from './complex_abs_gpu';\nimport {ConcatProgram} from './concat_gpu';\nimport {ConcatPackedProgram} from './concat_packed_gpu';\nimport {Conv2DDerFilterProgram, Conv2DDerInputProgram, Conv3DDerFilterProgram, Conv3DDerInputProgram} from './conv_backprop_gpu';\nimport {DepthwiseConv2DDerFilterProgram, DepthwiseConv2DDerInputProgram} from './conv_backprop_gpu_depthwise';\nimport {Conv2DProgram, Conv3DProgram} from './conv_gpu';\nimport {DepthwiseConv2DProgram} from './conv_gpu_depthwise';\nimport {DepthwiseConvPacked2DProgram} from './conv_packed_gpu_depthwise';\nimport {CropAndResizeProgram} from './crop_and_resize_gpu';\nimport {CumSumProgram} from './cumsum_gpu';\nimport {DecodeMatrixProgram} from './decode_matrix_gpu';\nimport {DecodeMatrixPackedProgram} from './decode_matrix_packed_gpu';\nimport {DepthToSpaceProgram} from './depth_to_space_gpu';\nimport {DiagProgram} from './diag_gpu';\nimport {EncodeFloatProgram} from './encode_float_gpu';\nimport {EncodeFloatPackedProgram} from './encode_float_packed_gpu';\nimport {EncodeMatrixProgram} from './encode_matrix_gpu';\nimport {EncodeMatrixPackedProgram} from './encode_matrix_packed_gpu';\nimport * as fft_gpu from './fft_gpu';\nimport {FFTProgram} from './fft_gpu';\nimport {FillProgram} from './fill_gpu';\nimport {GatherProgram} from './gather_gpu';\nimport {GatherNDProgram} from './gather_nd_gpu';\nimport {GPGPUContext} from './gpgpu_context';\nimport * as gpgpu_math from './gpgpu_math';\nimport {GPGPUBinary, GPGPUProgram, TensorData} from './gpgpu_math';\nimport {Im2ColPackedProgram} from './im2col_packed_gpu';\nimport {LRNProgram} from './lrn_gpu';\nimport {LRNGradProgram} from './lrn_grad_gpu';\nimport {LRNPackedProgram} from './lrn_packed_gpu';\nimport {MaxPool2DBackpropProgram, MaxPool3DBackpropProgram} from './max_pool_backprop_gpu';\nimport {MatMulPackedProgram} from './mulmat_packed_gpu';\nimport {MultinomialProgram} from './multinomial_gpu';\nimport {OneHotProgram} from './onehot_gpu';\nimport {PackProgram} from './pack_gpu';\nimport {PadProgram} from './pad_gpu';\nimport {PadPackedProgram} from './pad_packed_gpu';\nimport {Pool2DProgram, Pool3DProgram} from './pool_gpu';\nimport {ReduceProgram} from './reduce_gpu';\nimport {ReshapePackedProgram} from './reshape_packed_gpu';\nimport {ResizeBilinearBackpropProgram} from './resize_bilinear_backprop_gpu';\nimport {ResizeBilinearProgram} from './resize_bilinear_gpu';\nimport {ResizeBilinearPackedProgram} from './resize_bilinear_packed_gpu';\nimport {ResizeNearestNeigborBackpropProgram} from './resize_nearest_neighbor_backprop_gpu';\nimport {ResizeNearestNeighborProgram} from './resize_nearest_neighbor_gpu';\nimport {ReverseProgram} from './reverse_gpu';\nimport {ReversePackedProgram} from './reverse_packed_gpu';\nimport {ScatterProgram} from './scatter_gpu';\nimport {SegmentOpProgram} from './segment_gpu';\nimport {SelectProgram} from './select_gpu';\nimport {SliceProgram} from './slice_gpu';\nimport {SlicePackedProgram} from './slice_packed_gpu';\nimport {StridedSliceProgram} from './strided_slice_gpu';\nimport * as tex_util from './tex_util';\nimport {TextureData, TextureUsage} from './tex_util';\nimport {TextureManager} from './texture_manager';\nimport {TileProgram} from './tile_gpu';\nimport * as unary_op from './unaryop_gpu';\nimport {UnaryOpProgram} from './unaryop_gpu';\nimport * as unary_packed_op from './unaryop_packed_gpu';\nimport {UnaryOpPackedProgram} from './unaryop_packed_gpu';\nimport {UnpackProgram} from './unpack_gpu';\nimport * as webgl_util from './webgl_util';\n\ntype KernelInfo = {\n  name: string; query: Promise<number>;\n};\n\nexport type TimerNode = RecursiveArray<KernelInfo>|KernelInfo;\nexport interface CPUTimerQuery {\n  startMs: number;\n  endMs?: number;\n}\n\nexport interface WebGLMemoryInfo extends MemoryInfo {\n  numBytesInGPU: number;\n  unreliable: boolean;\n}\n\nexport interface WebGLTimingInfo extends TimingInfo {\n  uploadWaitMs: number;\n  downloadWaitMs: number;\n}\n\nconst binaryCaches: {[webGLVersion: string]: {[key: string]: GPGPUBinary}} = {};\n\nexport function getBinaryCache(webGLVersion: number) {\n  if (webGLVersion in binaryCaches) {\n    return binaryCaches[webGLVersion];\n  }\n  binaryCaches[webGLVersion] = {};\n  return binaryCaches[webGLVersion];\n}\n\nfunction mapActivationToShaderProgram(\n    activation: Activation, packed = false): string {\n  if (activation === 'linear') {\n    if (packed) {\n      return unary_packed_op.LINEAR;\n    }\n    return unary_op.LINEAR;\n  } else if (activation === 'relu') {\n    if (packed) {\n      return unary_packed_op.RELU;\n    }\n    return unary_op.RELU;\n  } else if (activation === 'elu') {\n    if (packed) {\n      return unary_packed_op.ELU;\n    }\n    return unary_op.ELU;\n  } else if (activation === 'relu6') {\n    if (packed) {\n      return unary_packed_op.RELU6;\n    }\n    return unary_op.RELU6;\n  } else if (activation === 'prelu') {\n    if (packed) {\n      return binaryop_packed_gpu.PRELU;\n    }\n    return binaryop_gpu.PRELU;\n  }\n  throw new Error(`Activation ${\n      activation} has not been implemented for the WebGL backend.`);\n}\n\n// Empirically determined constant used to determine size threshold for handing\n// off execution to the CPU.\nconst CPU_HANDOFF_SIZE_THRESHOLD = 128;\n\n// Empirically determined constant used to decide the number of MB on GPU\n// before we warn about high memory use. The MB are this constant * screen area\n// * dpi / 1024 / 1024.\nconst BEFORE_PAGING_CONSTANT = 600;\nfunction numMBBeforeWarning(): number {\n  if (env().global.screen == null) {\n    return 1024;  // 1 GB.\n  }\n  return (env().global.screen.height * env().global.screen.width *\n          window.devicePixelRatio) *\n      BEFORE_PAGING_CONSTANT / 1024 / 1024;\n}\n\n// Empirically determined minimal shared dimension in matmul before we forward\n// to a.mul(b).sum() in order to take advantage of GPU parallelism. See\n// https://github.com/tensorflow/tfjs-core/pull/1379 for benchmarks.\nexport const MATMUL_SHARED_DIM_THRESHOLD = 1000;\n\nexport class MathBackendWebGL extends KernelBackend {\n  texData: DataStorage<TextureData>;\n  gpgpu: GPGPUContext;\n\n  // Maps data ids that have a pending read operation, to list of subscribers.\n  private pendingRead = new WeakMap<DataId, Array<(arr: TypedArray) => void>>();\n  // List of data ids that are scheduled for disposal, but are waiting on a\n  // pending read operation.\n  private pendingDisposal = new WeakSet<DataId>();\n  // Used to count the number of 'shallow' sliced tensors that point to the\n  // same data id.\n  private dataRefCount = new WeakMap<DataId, number>();\n  private numBytesInGPU = 0;\n\n  private canvas: HTMLCanvasElement|OffscreenCanvas;\n\n  private programTimersStack: TimerNode[];\n  private activeTimers: TimerNode[];\n  // Accumulated time spent (including blocking) in uploading data to webgl.\n  private uploadWaitMs = 0;\n  // Accumulated time spent (including blocking in downloading data from webgl.\n  private downloadWaitMs = 0;\n  private cpuBackend: KernelBackend;\n\n  // Number of bits of precision of this backend.\n  private floatPrecisionValue: 32|16;\n\n  private textureManager: TextureManager;\n  private binaryCache: {[key: string]: GPGPUBinary};\n  private gpgpuCreatedLocally: boolean;\n  private numMBBeforeWarning: number;\n  private warnedAboutMemory = false;\n\n  constructor(gpgpu?: GPGPUContext) {\n    super();\n    if (!env().getBool('HAS_WEBGL')) {\n      throw new Error('WebGL is not supported on this device');\n    }\n\n    if (gpgpu == null) {\n      const gl = getWebGLContext(env().getNumber('WEBGL_VERSION'));\n      this.binaryCache = getBinaryCache(env().getNumber('WEBGL_VERSION'));\n      this.gpgpu = new GPGPUContext(gl);\n      this.canvas = gl.canvas;\n      this.gpgpuCreatedLocally = true;\n    } else {\n      this.gpgpu = gpgpu;\n      this.binaryCache = {};\n      this.gpgpuCreatedLocally = false;\n      this.canvas = gpgpu.gl.canvas;\n    }\n    this.textureManager = new TextureManager(this.gpgpu);\n    this.numMBBeforeWarning = numMBBeforeWarning();\n\n    this.texData = new DataStorage(this, ENGINE);\n  }\n\n  numDataIds() {\n    return this.texData.numDataIds() +\n        (this.cpuBackend ? this.cpuBackend.numDataIds() : 0) -\n        this.pendingDeletes;\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64' && values != null) {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    const dataId = {};\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    const texData = this.texData.get(dataId);\n    const {values, dtype, complexTensors, slice, shape, isPacked} = texData;\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.readSync(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n    if (dtype === 'string') {\n      return values;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let result: Float32Array;\n    if (dtype === 'complex64') {\n      const realValues = complexTensors.real.dataSync() as Float32Array;\n      const imagValues = complexTensors.imag.dataSync() as Float32Array;\n      result = mergeRealAndImagArrays(realValues, imagValues);\n    } else {\n      result = this.getValuesFromTexture(dataId);\n    }\n\n    if (shouldTimeProgram) {\n      this.downloadWaitMs += util.now() - start;\n    }\n    return this.convertAndCacheOnCPU(dataId, result);\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    if (this.pendingRead.has(dataId)) {\n      const subscribers = this.pendingRead.get(dataId);\n      return new Promise<TypedArray>(resolve => subscribers.push(resolve));\n    }\n    const texData = this.texData.get(dataId);\n    const {values, shape, slice, dtype, complexTensors, isPacked} = texData;\n\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.read(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n\n    if (!env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED') &&\n        env().getNumber('WEBGL_VERSION') === 2) {\n      throw new Error(\n          `tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and ` +\n          `WEBGL_VERSION=2 not yet supported.`);\n    }\n\n    let buffer = null;\n    let tmpDownloadTarget: TensorInfo;\n\n    if (dtype !== 'complex64' && env().get('WEBGL_BUFFER_SUPPORTED')) {\n      // Possibly copy the texture into a buffer before inserting a fence.\n      tmpDownloadTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpDownloadTarget.dataId);\n\n      buffer = this.gpgpu.createBufferFromTexture(\n          tmpData.texture, ...tex_util.getDenseTexShape(shape));\n    }\n\n    this.pendingRead.set(dataId, []);\n\n    if (dtype !== 'complex64') {\n      // Create a fence and wait for it to resolve.\n      await this.gpgpu.createAndWaitForFence();\n    }\n\n    // Download the values from the GPU.\n    let vals: Float32Array;\n    if (dtype === 'complex64') {\n      const ps = await Promise.all(\n          [complexTensors.real.data(), complexTensors.imag.data()]);\n      const realValues = ps[0];\n      const imagValues = ps[1];\n      vals = mergeRealAndImagArrays(\n          realValues as Float32Array, imagValues as Float32Array);\n    } else if (buffer == null) {\n      vals = this.getValuesFromTexture(dataId);\n    } else {\n      const size = util.sizeFromShape(shape);\n      vals = this.gpgpu.downloadFloat32MatrixFromBuffer(buffer, size);\n    }\n    if (tmpDownloadTarget != null) {\n      this.disposeData(tmpDownloadTarget.dataId);\n    }\n    const dTypeVals = this.convertAndCacheOnCPU(dataId, vals);\n\n    const subscribers = this.pendingRead.get(dataId);\n    this.pendingRead.delete(dataId);\n\n    // Notify all pending reads.\n    subscribers.forEach(resolve => resolve(dTypeVals));\n    if (this.pendingDisposal.has(dataId)) {\n      this.pendingDisposal.delete(dataId);\n      this.disposeData(dataId);\n      this.pendingDeletes--;\n    }\n    return dTypeVals;\n  }\n\n  private checkNumericalProblems(values: BackendValues): void {\n    if (values == null) {\n      return;\n    }\n    for (let i = 0; i < values.length; i++) {\n      const num = values[i] as number;\n      if (!webgl_util.canBeRepresented(num)) {\n        if (env().getBool('WEBGL_RENDER_FLOAT32_CAPABLE')) {\n          throw Error(\n              `The value ${num} cannot be represented with your ` +\n              `current settings. Consider enabling float32 rendering: ` +\n              `'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'`);\n        }\n        throw Error(`The value ${num} cannot be represented on this device.`);\n      }\n    }\n  }\n\n  private getValuesFromTexture(dataId: DataId): Float32Array {\n    const {shape, dtype, isPacked} = this.texData.get(dataId);\n    const size = util.sizeFromShape(shape);\n    if (env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED')) {\n      const tmpTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpTarget.dataId);\n      const vals = this.gpgpu\n                       .downloadMatrixFromPackedTexture(\n                           tmpData.texture, ...tex_util.getDenseTexShape(shape))\n                       .subarray(0, size);\n\n      this.disposeData(tmpTarget.dataId);\n\n      return vals;\n    }\n\n    const shouldUsePackedProgram =\n        env().getBool('WEBGL_PACK') && isPacked === true;\n    const outputShape =\n        shouldUsePackedProgram ? webgl_util.getShapeAs3D(shape) : shape;\n    const program = shouldUsePackedProgram ?\n        new EncodeFloatPackedProgram(outputShape as [number, number, number]) :\n        new EncodeFloatProgram(outputShape);\n    const output = this.runWebGLProgram(\n        program, [{shape: outputShape, dtype, dataId}], 'float32');\n    const tmpData = this.texData.get(output.dataId);\n    const vals =\n        this.gpgpu\n            .downloadByteEncodedFloatMatrixFromOutputTexture(\n                tmpData.texture, tmpData.texShape[0], tmpData.texShape[1])\n            .subarray(0, size);\n    this.disposeData(output.dataId);\n\n    return vals;\n  }\n\n  async time(f: () => void): Promise<WebGLTimingInfo> {\n    const oldActiveTimers = this.activeTimers;\n    const newActiveTimers: TimerNode[] = [];\n\n    let outerMostTime = false;\n    if (this.programTimersStack == null) {\n      this.programTimersStack = newActiveTimers;\n      outerMostTime = true;\n    } else {\n      this.activeTimers.push(newActiveTimers);\n    }\n    this.activeTimers = newActiveTimers;\n\n    f();\n\n    // needing to split these up because util.flatten only accepts certain types\n    const flattenedActiveTimerQueries =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.query))\n            .filter(d => d != null);\n    const flattenedActiveTimerNames =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.name))\n            .filter(d => d != null);\n\n    this.activeTimers = oldActiveTimers;\n\n    if (outerMostTime) {\n      this.programTimersStack = null;\n    }\n\n    const res: WebGLTimingInfo = {\n      uploadWaitMs: this.uploadWaitMs,\n      downloadWaitMs: this.downloadWaitMs,\n      kernelMs: null,\n      wallMs: null  // will be filled by the engine\n    };\n\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      const kernelMs = await Promise.all(flattenedActiveTimerQueries);\n\n      res['kernelMs'] = util.sum(kernelMs);\n      res['getExtraProfileInfo'] = () =>\n          kernelMs.map((d, i) => ({name: flattenedActiveTimerNames[i], ms: d}))\n              .map(d => `${d.name}: ${d.ms}`)\n              .join(', ');\n    } else {\n      res['kernelMs'] = {\n        error: 'WebGL query timers are not supported in this environment.'\n      };\n    }\n\n    this.uploadWaitMs = 0;\n    this.downloadWaitMs = 0;\n    return res;\n  }\n  memory(): WebGLMemoryInfo {\n    return {unreliable: false, numBytesInGPU: this.numBytesInGPU} as\n        WebGLMemoryInfo;\n  }\n\n  private startTimer(): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      return this.gpgpu.beginQuery();\n    }\n    return {startMs: util.now(), endMs: null};\n  }\n\n  private endTimer(query: WebGLQuery|CPUTimerQuery): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      this.gpgpu.endQuery();\n      return query;\n    }\n    (query as CPUTimerQuery).endMs = util.now();\n    return query;\n  }\n\n  private async getQueryTime(query: WebGLQuery|CPUTimerQuery): Promise<number> {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      return this.gpgpu.waitForQueryAndGetTime(query as WebGLQuery);\n    }\n    const timerQuery = query as CPUTimerQuery;\n    return timerQuery.endMs - timerQuery.startMs;\n  }\n\n  private pendingDeletes = 0;\n\n  disposeData(dataId: DataId): void {\n    if (this.pendingDisposal.has(dataId)) {\n      return;\n    }\n    if (this.pendingRead.has(dataId)) {\n      this.pendingDisposal.add(dataId);\n      this.pendingDeletes++;\n      return;\n    }\n    // No-op if already disposed.\n    if (!this.texData.has(dataId)) {\n      return;\n    }\n\n    this.releaseGPUData(dataId);\n    const {complexTensors} = this.texData.get(dataId);\n    if (complexTensors != null) {\n      complexTensors.real.dispose();\n      complexTensors.imag.dispose();\n    }\n    this.texData.delete(dataId);\n  }\n\n  private releaseGPUData(dataId: DataId): void {\n    const {texture, dtype, texShape, usage, isPacked, slice} =\n        this.texData.get(dataId);\n    const key = slice && slice.origDataId || dataId;\n    const refCount = this.dataRefCount.get(key);\n    if (refCount > 1) {\n      this.dataRefCount.set(key, refCount - 1);\n    } else {\n      this.dataRefCount.delete(key);\n      if (texture != null) {\n        this.numBytesInGPU -= this.computeBytes(texShape, dtype);\n        this.textureManager.releaseTexture(texture, texShape, usage, isPacked);\n      }\n    }\n    const texData = this.texData.get(dataId);\n    texData.texture = null;\n    texData.texShape = null;\n    texData.isPacked = false;\n    texData.slice = null;\n  }\n\n  getTexture(dataId: DataId): WebGLTexture {\n    this.uploadToGPU(dataId);\n    return this.texData.get(dataId).texture;\n  }\n\n  /**\n   * Returns internal information for the specific data bucket. Used in unit\n   * tests.\n   */\n  getDataInfo(dataId: DataId): TextureData {\n    return this.texData.get(dataId);\n  }\n\n  private getCPUBackend(): KernelBackend|null {\n    if (!env().getBool('WEBGL_CPU_FORWARD')) {\n      return null;\n    }\n\n    if (this.cpuBackend == null) {\n      this.cpuBackend = ENGINE.findBackend('cpu');\n    }\n\n    return this.cpuBackend;\n  }\n\n  /*\n  Tests whether all the inputs to an op are small and on the CPU. This heuristic\n  determines when it would be faster to execute a kernel on the CPU. WebGL\n  kernels opt into running this check and forwarding when appropriate.\n  TODO(https://github.com/tensorflow/tfjs/issues/872): Develop a more\n  sustainable strategy for optimizing backend execution of ops.\n   */\n  shouldExecuteOnCPU(\n      inputs: TensorInfo[],\n      sizeThreshold = CPU_HANDOFF_SIZE_THRESHOLD): boolean {\n    return this.getCPUBackend() != null &&\n        inputs.every(\n            input => this.texData.get(input.dataId).texture == null &&\n                util.sizeFromShape(input.shape) < sizeThreshold);\n  }\n\n  getGPGPUContext(): GPGPUContext {\n    return this.gpgpu;\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(real.shape, 'complex64');\n    const resultData = this.texData.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.slice(x, begin, size);\n    }\n    // Short-circuit computation if the slice is zero-sized.\n    if (util.sizeFromShape(size) === 0) {\n      return tensor([], size, x.dtype) as T;\n    }\n    const {isPacked} = this.texData.get(x.dataId);\n    const isContinous = slice_util.isSliceContinous(x.shape, begin, size);\n    if (isPacked || !isContinous) {\n      const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n          new SlicePackedProgram(size) :\n          new SliceProgram(size);\n      const customSetup = program.getCustomSetupFunc(begin);\n      return this.compileAndRun(program, [x], null, customSetup);\n    }\n    this.uploadToGPU(x.dataId);\n    return this.shallowSlice(x, begin, size) as T;\n  }\n\n  private shallowSlice(x: Tensor, begin: number[], size: number[]): Tensor {\n    const xTexData = this.texData.get(x.dataId);\n    const t = this.makeOutput(size, x.dtype);\n    const newTexData = this.texData.get(t.dataId);\n    // Copy texture data from the original tensor.\n    Object.assign(newTexData, xTexData);\n    newTexData.shape = size;\n    newTexData.dtype = x.dtype;\n    let flatOffset = slice_util.computeFlatOffset(begin, x.strides);\n    if (xTexData.slice) {\n      // We are slicing an already sliced tensor, so we have to accumulate\n      // the offset.\n      flatOffset += xTexData.slice.flatOffset;\n    }\n    newTexData.slice = {\n      flatOffset,\n      // Point to the original dataId, which is used to do ref counting.\n      origDataId: xTexData.slice && xTexData.slice.origDataId || x.dataId\n    };\n\n    // Increase the ref count for that data bucket.\n    const refCount = this.dataRefCount.get(newTexData.slice.origDataId) || 1;\n    this.dataRefCount.set(newTexData.slice.origDataId, refCount + 1);\n\n    return t;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.stridedSlice(x, begin, end, strides);\n    }\n\n    const outShape = slice_util.computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return tensor([], outShape) as T;\n    }\n\n    const program = new StridedSliceProgram(begin, strides, outShape);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new ReversePackedProgram(x.shape, axis) :\n        new ReverseProgram(x.shape, axis);\n    return this.compileAndRun(program, [x]);\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    if (this.shouldExecuteOnCPU(tensors)) {\n      return this.cpuBackend.concat(tensors, axis);\n    }\n\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n    if (tensors.length > env().getNumber('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.concat(tensors.slice(0, midIndex), axis);\n      const rightSide = this.concat(tensors.slice(midIndex), axis);\n      return this.concat([leftSide, rightSide], axis);\n    }\n    if (env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') && tensors[0].rank > 1) {\n      const program = new ConcatPackedProgram(tensors.map(t => t.shape), axis);\n      return this.compileAndRun(program, tensors);\n    }\n    // Any concat of n-dimensional tensors across any axis can be reduced to\n    // a concatenation of two-dimensional tensors across the axis 1 by first\n    // partitioning the axes of the original tensors into those less than the\n    // axis to be concatenated and the rest. Then reshape the tensors\n    // into a two-dimensional tensor by collapsing these two sets of axes and\n    // concatenate the resulting matrices across the axis 1, finally reshaping\n    // the result to have the proper shape.\n    const outShape = computeOutShape(tensors.map(t => t.shape), axis);\n    const tensors2D =\n        tensors.map(t => t.as2D(-1, sizeFromShape(t.shape.slice(axis))));\n    const program = new ConcatProgram(tensors2D.map(t => t.shape));\n    const res: Tensor = this.compileAndRun(program, tensors2D);\n    return res.reshape(outShape);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.neg(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.NEG, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.NEG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const [batch, , ] = a.shape;\n\n    // Since the matrices are vectors, it is faster to call mul().sum()\n    // because sum() is O(sqrt(N)) due to divide-and-conquer.\n    if ((outerShapeA === 1 || outerShapeB === 1) &&\n        sharedDim > MATMUL_SHARED_DIM_THRESHOLD) {\n      if (transposeA) {\n        a = transpose(a, [0, 2, 1]);\n      }\n      if (transposeB) {\n        b = transpose(b, [0, 2, 1]);\n      }\n\n      const a3D = outerShapeB === 1 ? a : a.as3D(batch, sharedDim, 1);\n      const axis = outerShapeB === 1 ? 2 : 1;\n      const b3D = outerShapeB === 1 ? b.as3D(batch, 1, sharedDim) : b;\n      return this.multiply(a3D, b3D).sum(axis, true /* keepDims */);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB);\n    return this.compileAndRun<Tensor3D>(program, [a, b], dtype);\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const [batch, , ] = a.shape;\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB,\n        hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [a, b];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun<Tensor3D>(program, inputs, dtype);\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64') {\n      const aData = this.texData.get(a.dataId);\n      const bData = this.texData.get(b.dataId);\n\n      const realProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.REAL, a.shape, b.shape);\n      const imagProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.IMAG, a.shape, b.shape);\n\n      const inputs = [\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.imag),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.imag)\n      ];\n      const real = this.compileAndRun<Tensor>(realProgram, inputs);\n      const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n\n      const complex = this.complex(real, imag);\n      real.dispose();\n      imag.dispose();\n      return complex;\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.multiply(a, b);\n    }\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.MUL, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.MUL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], a.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    const inputs = [x, mean, variance];\n\n    let offsetShape = null;\n    if (offset != null) {\n      offsetShape = offset.shape;\n      inputs.push(offset);\n    }\n\n    let scaleShape = null;\n    if (scale != null) {\n      scaleShape = scale.shape;\n      inputs.push(scale);\n    }\n\n    if (env().getBool('WEBGL_PACK_NORMALIZATION')) {\n      const batchNormPackedProgram = new BatchNormPackedProgram(\n          x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n          varianceEpsilon);\n      return this.compileAndRun<Tensor4D>(batchNormPackedProgram, inputs);\n    }\n\n    const batchNormProgram = new BatchNormProgram(\n        x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n        varianceEpsilon);\n    return this.compileAndRun(batchNormProgram, inputs);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_NORMALIZATION') ?\n        new LRNPackedProgram(x.shape, radius, bias, alpha, beta) :\n        new LRNProgram(x.shape, radius, bias, alpha, beta);\n    return this.compileAndRun(program, [x]);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program =\n        new LRNGradProgram(inputImage.shape, depthRadius, bias, alpha, beta);\n    return this.compileAndRun(program, [inputImage, outputImage, dy]);\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    if (x.dtype === 'string') {\n      const data = this.readSync(x.dataId) as Uint8Array[];\n      const decodedData = data.map(d => util.decodeString(d));\n      const buf = buffer(x.shape, x.dtype, decodedData);\n      return tile(buf, reps) as T;\n    }\n    const program = new TileProgram(x.shape, reps);\n    return this.compileAndRun(program, [x]);\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new PadPackedProgram(x.shape, paddings, constantValue) :\n        new PadProgram(x.shape, paddings, constantValue);\n    return this.compileAndRun(program, [x]);\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    if (this.shouldExecuteOnCPU([x, indices])) {\n      return this.cpuBackend.gather(x, indices, axis);\n    }\n    const program = new GatherProgram(x.shape, indices.size, axis);\n    return this.compileAndRun(program, [x, indices]);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'batchToSpaceND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return transpose(x.reshape(reshaped), permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'spaceToBatchND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return transpose(\n               paddedX.reshape(reshapedPaddedShape),\n               permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  private reduce(\n      x: Tensor2D, reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod',\n      dtype: DataType): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program = new ReduceProgram(reduceInfo, reduceType);\n    const output = this.compileAndRun<Tensor2D>(program, [x], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.reduce(output, reduceType, dtype);\n  }\n\n  private argReduce(\n      x: Tensor2D, reduceType: 'max'|'min',\n      bestIndicesA: Tensor2D = null): Tensor2D {\n    let batchSize = x.shape[0];\n    let inSize = x.shape[1];\n    if (bestIndicesA != null) {\n      batchSize = bestIndicesA.shape[0];\n      inSize = bestIndicesA.shape[1];\n    }\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program =\n        new ArgMinMaxProgram(reduceInfo, reduceType, bestIndicesA == null);\n    const inputs = [x];\n    if (bestIndicesA != null) {\n      inputs.push(bestIndicesA);\n    }\n    const output = this.compileAndRun<Tensor2D>(program, inputs, 'int32');\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.argReduce(x, reduceType, output);\n  }\n\n  private argReducePacked(\n      x: Tensor, reduceType: 'max'|'min', bestIndicesA: Tensor = null): Tensor {\n    const inShape = bestIndicesA != null ? bestIndicesA.shape : x.shape;\n    const inSize = inShape[inShape.length - 1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const program = new ArgMinMaxPackedProgram(\n        inShape, windowSize, reduceType, bestIndicesA == null);\n    const inputs = bestIndicesA == null ? [x] : [x, bestIndicesA];\n    const output = this.compileAndRun<Tensor>(program, inputs, 'int32');\n    if (output.rank === x.rank) {\n      return this.argReducePacked(x, reduceType, output);\n    }\n    return output;\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'sum', outputDType).reshape(outShape);\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.prod(x, axes);\n    }\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'prod', outputDType).reshape(outShape);\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    let axis = 0;\n    const permutation = axis_util.getAxesPermutation([axis], x.rank);\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = transpose(x, permutation);\n      axis = axis_util.getInnerMostAxes(1, x.rank)[0];\n    }\n\n    const outShape =\n        segment_util.computeOutShape(permutedX.shape, axis, numSegments);\n    const inSize = util.sizeFromShape([permutedX.shape[axis]]);\n    const a2D = permutedX.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    let result =\n        this.segOpCompute(\n                a2D, 'unsortedSegmentSum', segmentIds, outputDType, numSegments)\n            .reshape(outShape);\n    if (permutation != null) {\n      result = transpose(result, axis_util.getUndoAxesPermutation(permutation));\n    }\n    return result;\n  }\n\n  private segOpCompute(\n      x: Tensor2D, segOpType: 'unsortedSegmentSum', segmentIds: Tensor1D,\n      dtype: DataType, numSegments: number): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize =\n        segment_util.segOpComputeOptimalWindowSize(inSize, numSegments);\n    const segOpInfo = {windowSize, inSize, batchSize, numSegments};\n    const program = new SegmentOpProgram(segOpInfo, segOpType);\n    const output =\n        this.compileAndRun<Tensor2D>(program, [x, segmentIds], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === numSegments) {\n      return output;\n    }\n    segmentIds = range(0, numSegments).tile([inSize / windowSize]);\n    return this.segOpCompute(output, segOpType, segmentIds, dtype, numSegments);\n  }\n\n  private argMinMaxReduce(x: Tensor, axis: number, reduceType: 'min'|'max'):\n      Tensor {\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims(\n        'arg' + reduceType.charAt(0).toUpperCase() + reduceType.slice(1), axes,\n        x.rank);\n    if (!env().getBool('WEBGL_PACK_REDUCE') || x.rank <= 2) {\n      const [outShape, reduceShape] =\n          axis_util.computeOutAndReduceShapes(x.shape, axes);\n      const inSize = util.sizeFromShape(reduceShape);\n      const a2D = x.as2D(-1, inSize);\n      return this.argReduce(a2D, reduceType).reshape(outShape);\n    }\n    return this.argReducePacked(x, reduceType);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'min');\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'max');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `WebGL cumsum shader expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const program = new CumSumProgram(x.shape, exclusive, reverse);\n    return this.compileAndRun(program, [x]);\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.EQUAL, 'bool');\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.NOT_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.NOT_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.less(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.LESS, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LESS_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.greater(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.GREATER, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.GREATER, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.GREATER_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.GREATER_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOGICAL_NOT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_AND, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_AND, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_OR, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_OR, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    const program = new SelectProgram(condition.rank, a.shape, a.rank);\n    return this.compileAndRun(\n        program, [condition, a, b], upcastType(a.dtype, b.dtype));\n  }\n\n  where(condition: Tensor): Tensor2D {\n    warn(\n        'tf.where() in webgl locks the UI thread. ' +\n        'Call tf.whereAsync() instead');\n    const condVals = condition.dataSync();\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    const xVals = x.dataSync();\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'min', a2D.dtype).reshape(outShape);\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.minimum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MIN, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MIN, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MOD, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MOD, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.max(x, axes);\n    }\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'max', a2D.dtype).reshape(outShape);\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.maximum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MAX, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MAX, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'all', a2D.dtype).reshape(outShape);\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'any', a2D.dtype).reshape(outShape);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    const op = binaryop_gpu.INT_DIV;\n    const outputDtype = 'int32';\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.INT_DIV, outputDtype);\n    }\n    const program = new BinaryOpProgram(op, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], outputDtype);\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.ADD);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.add(a, b);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.ADD, dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.ADD, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  private packedUnaryOp(x: TensorInfo, op: string, dtype: DataType) {\n    const program = new UnaryOpPackedProgram(x.shape, op);\n    return this.compileAndRun<Tensor>(program, [x], dtype);\n  }\n\n  private packedBinaryOp(\n      a: TensorInfo, b: TensorInfo, op: string, dtype: DataType,\n      checkOutOfBounds = false) {\n    const program =\n        new BinaryOpPackedProgram(op, a.shape, b.shape, checkOutOfBounds);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  /**\n   * Computes a complex binary operation that can be decomposed into a simple\n   * binary operation on both the real and imagary parts.\n   */\n  private complexSeparableBinaryOp(a: Tensor, b: Tensor, op: string): Tensor {\n    const aData = this.texData.get(a.dataId);\n    const bData = this.texData.get(b.dataId);\n\n    const [real, imag] = [\n      [aData.complexTensors.real, bData.complexTensors.real],\n      [aData.complexTensors.imag, bData.complexTensors.imag]\n    ].map(complexParts => {\n      const [aPart, bPart] = complexParts;\n\n      const aHandle = this.makeComplexComponentTensorInfo(a, aPart);\n      const bHandle = this.makeComplexComponentTensorInfo(b, bPart);\n\n      const program = new BinaryOpProgram(op, a.shape, b.shape);\n      return this.compileAndRun<Tensor>(\n          program, [aHandle, bHandle], upcastType(aPart.dtype, bPart.dtype));\n    });\n\n    const complex = this.complex(real, imag);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  // Returns a TensorInfo with the complex shape and the dataId of the\n  // underlying part. We need to do this because a reshaped complex tensor is\n  // not reflected in its parts.\n  private makeComplexComponentTensorInfo(\n      complexTensor: Tensor, complexPart: Tensor): TensorInfo {\n    return {\n      dataId: complexPart.dataId,\n      dtype: complexPart.dtype,\n      shape: complexTensor.shape\n    };\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n\n    // Limit the number of uploaded textures for optimization.\n    if (tensors.length > env().get('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.addN(tensors.slice(0, midIndex));\n      const rightSide = this.addN(tensors.slice(midIndex));\n      return this.addN([leftSide, rightSide]);\n    }\n\n    const dtype =\n        tensors.map(t => t.dtype).reduce((d1, d2) => upcastType(d1, d2));\n    const shapes = tensors.map(t => t.shape);\n    // We can make sure shapes are identical in op level.\n    const usePackedOp = env().getBool('WEBGL_PACK');\n    const program = usePackedOp ?\n        new AddNPackedProgram(tensors[0].shape, shapes) :\n        new AddNProgram(tensors[0].shape, shapes);\n    return this.compileAndRun<T>(program, tensors, dtype);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.SUB);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.subtract(a, b);\n    }\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.SUB, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.SUB, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    const usePackedOp = env().getBool('WEBGL_PACK_BINARY_OPERATIONS');\n    const program = usePackedOp ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.POW, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.POW, a.shape, b.shape);\n    const dtype = upcastType(a.dtype, b.dtype);\n    return this.compileAndRun<T>(program, [a, b], dtype);\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.ceil(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.CEIL, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.CEIL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.floor(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.FLOOR, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.FLOOR);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_NAN);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_INF);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_FINITE);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ROUND);\n    return this.compileAndRun(program, [x]);\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.exp(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXP, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXP);\n    return this.compileAndRun(program, [x]);\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.expm1(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXPM1, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXPM1);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softmax<T extends Tensor>(logits: T, dim: number): T {\n    const axes = util.parseAxisParam([dim], logits.shape);\n    const maxLogit = this.max(logits, axes);\n    const expandedShape = axis_util.expandShapeToKeepDim(maxLogit.shape, axes);\n    const a = this.subtract(logits, maxLogit.reshape(expandedShape));\n    const b = this.exp(a);\n    const sumExp = this.sum(b, axes).reshape(expandedShape);\n\n    // TODO(annxingyuan): Call divImpl rather than op as part of softmax kernel\n    // modularization.\n    return div(b, sumExp);\n  }\n\n  log<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.log(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.LOG, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG1P);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.rsqrt(x);\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.RSQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.RECIPROCAL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU6);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU6);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  prelu<T extends Tensor>(x: T, alpha: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.PRELU, x.shape, alpha.shape) :\n        new BinaryOpProgram(binaryop_gpu.PRELU, x.shape, alpha.shape);\n    return this.compileAndRun(program, [x, alpha]);\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.ELU, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.ELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.ELU_DER, dy.shape, y.shape) :\n        new BinaryOpProgram(binaryop_gpu.ELU_DER, dy.shape, y.shape);\n    return this.compileAndRun(program, [dy, y]);\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  int<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TO_INT);\n    return this.compileAndRun(program, [x], 'int32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    let program;\n    if (env().getBool('WEBGL_PACK_CLIP')) {\n      program = new ClipPackedProgram(x.shape);\n    } else {\n      program = new ClipProgram(x.shape);\n    }\n    const customSetup = program.getCustomSetupFunc(min, max);\n    return this.compileAndRun(program, [x], null, customSetup);\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.abs(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.ABS, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.ABS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const xData = this.texData.get(x.dataId);\n\n    const program = new ComplexAbsProgram(x.shape);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    return this.compileAndRun<Tensor>(program, inputs) as T;\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGMOID);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SOFTPLUS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.ATAN2, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.ATAN2, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ERF);\n    return this.compileAndRun(program, [x]);\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.STEP(alpha));\n    return this.compileAndRun(program, [x]);\n  }\n\n  private conv2dByMatMul(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Reshapes conv2D input to 2D tensors, uses matMul and then reshape the\n    // result from 2D to 4D.\n    const xShape = x.shape;\n    const xTexData = this.texData.get(x.dataId);\n    const sharedMatMulDim = convInfo.inChannels;\n    const outerShapeX = xShape[0] * xShape[1] * xShape[2];\n    const outerShapeFilter = convInfo.outChannels;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const transposeA = false;\n    const transposeB = false;\n\n    // TODO: Once reduction ops are packed, batchMatMul will always be packed\n    // and we can remove this condition.\n    const batchMatMulWillBeUnpacked =\n        (outerShapeX === 1 || outerShapeFilter === 1) &&\n        sharedMatMulDim > MATMUL_SHARED_DIM_THRESHOLD;\n    const reshapeWillBeExpensive = xShape[2] % 2 !== 0 && !!xTexData.isPacked;\n\n    if (batchMatMulWillBeUnpacked || !env().getBool('WEBGL_LAZILY_UNPACK') ||\n        !env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ||\n        !reshapeWillBeExpensive) {\n      const targetShape = isChannelsLast ? xShape[0] * xShape[1] * xShape[2] :\n                                           xShape[0] * xShape[2] * xShape[3];\n      const xReshaped = this.reshape(x, [1, targetShape, convInfo.inChannels]);\n      const filterReshaped =\n          this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n      return this.reshape<Rank.R4>(\n          this.fusedBatchMatMul({\n            a: xReshaped as Tensor3D,\n            b: filterReshaped as Tensor3D,\n            transposeA,\n            transposeB,\n            bias,\n            activation,\n            preluActivationWeights\n          }),\n          convInfo.outShape);\n    }\n\n    // Following optimization is specific to packed |x| with odd row count\n    // (For example, in channelLast mode, 'row count' refers to x.shape[2]):\n    // we avoid expensive packed 2x2 reshape by padding row count to next,\n    // even number. When x.shape[2] is odd, the result of packed batchMatMul is\n    // the same (has the same texture layout and and values in the texture) as\n    // it is for even x.shape[2] + 1. We make the odd-rows tensor to look like\n    // even-rows tensor before the operation and, after the batchMatMul,\n    // fix the even-rows result to have odd number of rows.\n    const targetShape = isChannelsLast ?\n        xShape[0] * xShape[1] * (xShape[2] + 1) :\n        xShape[0] * xShape[2] * (xShape[3] + 1);\n    const xReshaped: TensorInfo = {\n      dataId: x.dataId,\n      shape: [1, targetShape, convInfo.inChannels],\n      dtype: x.dtype\n    };\n    // xTexData.shape gets referenced from GPGPUBinary.inShapeInfos.\n    // Decrementing row count, after batchMatMul->...->compileProgram leads to\n    // invalid row count within the reference in GPGPUBinary.inShapeInfos.\n    // Alternative fix would be to provide a copy to GPGPUBinary.inShapeInfos\n    // in compileProgram method, but that would affect compilation of all\n    // programs - instead, provide a copy here, with even row count, before\n    // calling batchMatMul->...->compileProgram and after that, the original\n    // xTexData.shape is restored.\n    const originalXTexDataShape = xTexData.shape;\n    xTexData.shape = xTexData.shape.slice();\n    xTexData.shape[xTexData.shape.length - 2]++;\n    util.assert(\n        webgl_util.isReshapeFree(xTexData.shape, xReshaped.shape),\n        () => `packed reshape ${xTexData.shape} to ${\n            xReshaped.shape} isn't free`);\n    const filterReshaped =\n        this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n    const pointwiseConv = this.fusedBatchMatMul({\n      a: xReshaped as Tensor3D,\n      b: filterReshaped as Tensor3D,\n      transposeA,\n      transposeB,\n      bias,\n      activation,\n      preluActivationWeights\n    });\n    const pointwiseConvTexData = this.texData.get(pointwiseConv.dataId);\n    util.assert(\n        pointwiseConvTexData.isPacked,\n        () => 'batchMatMul result is expected to be packed');\n    // Restore the input shape to original.\n    xTexData.shape = originalXTexDataShape;\n    // Set the output shape - there is no need for expensive reshape as data\n    // layout is already correct.\n    pointwiseConvTexData.shape = convInfo.outShape;\n    return ENGINE.makeTensorFromDataId(\n               pointwiseConv.dataId, convInfo.outShape, pointwiseConv.dtype) as\n        Tensor4D;\n  }\n\n  private conv2dWithIm2Row(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Rearranges conv2d input so each block to be convolved over forms the\n    // column of a new matrix with shape [filterWidth * filterHeight *\n    // inChannels, outHeight * outWidth]. The filter is also rearranged so each\n    // output channel forms a row of a new matrix with shape [outChannels,\n    // filterWidth * filterHeight * inChannels]. The convolution is then\n    // computed by multiplying these matrices and reshaping the result.\n    const {\n      filterWidth,\n      filterHeight,\n      inChannels,\n      outWidth,\n      outHeight,\n      dataFormat\n    } = convInfo;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n\n    const sharedDim = filterWidth * filterHeight * inChannels;\n    const numCols = outHeight * outWidth;\n    const x2ColShape = [sharedDim, numCols];\n    const transposeA = true;\n    const transposeB = false;\n\n    const xSqueezed = x.squeeze([0]);\n    const w2Row = filter.reshape([1, sharedDim, -1]);\n\n    const im2ColProgram =\n        new Im2ColPackedProgram(x2ColShape, xSqueezed.shape, convInfo);\n    const im2Col: Tensor3D =\n        this.compileAndRun<Tensor2D>(im2ColProgram, [xSqueezed]).reshape([\n          1, x2ColShape[0], x2ColShape[1]\n        ]);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const matmulProgram = new MatMulPackedProgram(\n        im2Col.shape, [1, numCols, convInfo.outChannels], transposeA,\n        transposeB, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [im2Col, w2Row];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    const product = this.compileAndRun<Tensor4D>(matmulProgram, inputs);\n\n    if (isChannelsLast) {\n      return product.reshape([1, outHeight, outWidth, convInfo.outChannels]);\n    } else {\n      return product.reshape([1, convInfo.outChannels, outHeight, outWidth]);\n    }\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && input.shape[0] === 1) {\n      return this.conv2dWithIm2Row(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, false) : null;\n    const program = new Conv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [input, filter];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun(program, inputs);\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(x, filter, convInfo);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && x.shape[0] === 1) {\n      return this.conv2dWithIm2Row(x, filter, convInfo);\n    }\n    const program = new Conv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new Conv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Conv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    const shouldPackDepthwiseConv = env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1;\n    const fusedActivation = activation ?\n        mapActivationToShaderProgram(activation, shouldPackDepthwiseConv) :\n        null;\n    const inputs: Tensor[] = [input, filter];\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    if (hasBias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (shouldPackDepthwiseConv) {\n      program = new DepthwiseConvPacked2DProgram(\n          convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n      return this.compileAndRun(program, inputs);\n    }\n\n    program = new DepthwiseConv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    return this.compileAndRun(program, inputs);\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1) {\n      program = new DepthwiseConvPacked2DProgram(convInfo);\n      return this.compileAndRun(program, [x, filter]);\n    }\n\n    program = new DepthwiseConv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const program = new Conv3DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x]);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const getPositions = true;\n    const maxPoolPositionsProgram =\n        new Pool2DProgram(convInfo, 'max', getPositions);\n    const maxPoolPositions: Tensor4D =\n        this.compileAndRun(maxPoolPositionsProgram, [x]);\n\n    const maxPoolBackPropProgram = new MaxPool2DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPoolBackPropProgram, [dy, maxPoolPositions], x.dtype);\n    maxPoolPositions.dispose();\n    return result as Tensor4D;\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const avgPoolBackpropProgram = new AvgPool2DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPoolBackpropProgram, [dy], x.dtype);\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const avgPool3dBackpropProgram = new AvgPool3DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPool3dBackpropProgram, [dy], x.dtype);\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const getPositions = true;\n    const maxPool3dPositionsProgram =\n        new Pool3DProgram(convInfo, 'max', getPositions);\n    const maxPool3dPositions: Tensor5D =\n        this.compileAndRun(maxPool3dPositionsProgram, [x]);\n    const maxPool3dBackPropProgram = new MaxPool3DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPool3dBackPropProgram, [dy, maxPool3dPositions], x.dtype);\n    maxPool3dPositions.dispose();\n    return result as Tensor5D;\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const texData = this.texData.get(x.dataId);\n    if (texData.isPacked && !webgl_util.isReshapeFree(x.shape, shape) &&\n        !(texData.texture !== null &&\n          webgl_util.isReshapeFree(texData.shape, shape))) {\n      const info = this.packedReshape(x, shape);\n      return ENGINE.makeTensorFromDataId(info.dataId, info.shape, info.dtype) as\n          Tensor<R>;\n    }\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_IMAGE_OPERATIONS') ?\n        new ResizeBilinearPackedProgram(\n            x.shape, newHeight, newWidth, alignCorners) :\n        new ResizeBilinearProgram(x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    const program = new ResizeBilinearBackpropProgram(dy, x, alignCorners);\n\n    return this.compileAndRun(program, [dy]);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = new ResizeNearestNeighborProgram(\n        x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x]);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    const program =\n        new ResizeNearestNeigborBackpropProgram(dy, x, alignCorners);\n    return this.compileAndRun(program, [dy]);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    const probs = normalized ? logits : softmax(logits);\n    const batchSize = probs.shape[0];\n    const numOutcomes = probs.shape[1];\n    const program = new MultinomialProgram(batchSize, numOutcomes, numSamples);\n    const customSetup = program.getCustomSetupFunc(seed);\n    return this.compileAndRun(program, [probs], 'int32', customSetup);\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    const program = new OneHotProgram(indices.size, depth, onValue, offValue);\n    return this.compileAndRun(program, [indices]);\n  }\n\n  diag(x: Tensor): Tensor {\n    const program = new DiagProgram(x.size);\n    return this.compileAndRun(program, [x]);\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n    const boxesVals = boxes.dataSync();\n    const scoresVals = scores.dataSync();\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    const program = new CropAndResizeProgram(\n        image.shape, boxes.shape, cropSize, method, extrapolationValue);\n    return this.compileAndRun(program, [image, boxes, boxIndex], 'float32');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = (dataFormat === 'NHWC') ? x.shape[1] : x.shape[2];\n    const inputWidth = (dataFormat === 'NHWC') ? x.shape[2] : x.shape[3];\n    const inputDepth = (dataFormat === 'NHWC') ? x.shape[3] : x.shape[1];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const outputShape = (dataFormat === 'NHWC') ?\n        [batchSize, outputHeight, outputWidth, outputDepth] :\n        [batchSize, outputDepth, outputHeight, outputWidth];\n\n    const program = new DepthToSpaceProgram(outputShape, blockSize, dataFormat);\n    return this.compileAndRun(program, [x]);\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n    const flattenIndices = indices.reshape([numUpdates, sliceRank]);\n    const flattenX = updates.reshape([numUpdates, sliceSize]);\n\n    if (outputSize === 0) {\n      return backend_util.reshapeTensor(tensor([]), shape);\n    }\n    const defaultValue = scalar(0);\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, flattenIndices.rank, flattenX.rank, strides,\n        flattenShape);\n    const res: Tensor =\n        this.compileAndRun(program, [flattenX, flattenIndices, defaultValue]);\n    return res.reshape(shape);\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n\n    const sumDupeIndices = false;\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, sparseIndices.rank, sparseValues.rank, strides,\n        [outputSize, 1], sumDupeIndices);\n    const res: Tensor = this.compileAndRun(\n        program, [sparseValues, sparseIndices, defaultValue]);\n    return res.reshape(outputShape);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    const inverse = false;\n    return this.fftImpl(x, inverse);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    const inverse = true;\n    return this.fftImpl(x, inverse);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const xData = this.texData.get(x.dataId);\n\n    const realProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.REAL, x.shape, inverse);\n    const imagProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.IMAG, x.shape, inverse);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    const real = this.compileAndRun<Tensor>(realProgram, inputs);\n    const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n    const complex = this.complex(real, imag).as2D(x.shape[0], x.shape[1]);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n\n    const flattenIndices = indices.reshape([numSlices, sliceRank]);\n    const flattenX = x.reshape([x.size / sliceSize, sliceSize]);\n    const program =\n        new GatherNDProgram(sliceRank, strides, [numSlices, sliceSize]);\n    const res: Tensor = this.compileAndRun(program, [flattenX, flattenIndices]);\n    return res.reshape(resultShape);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n\n    if (dtype === 'string') {\n      // String type should be handled in CPU memory.\n      const values = getArrayFromDType(dtype, sizeFromShape(shape));\n      values.fill(value as string);\n      return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n    } else {\n      const program = new FillProgram(shape, value as number);\n      const customSetup = program.getCustomSetupFunc(value as number);\n      return this.compileAndRun(program, [], dtype, customSetup);\n    }\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported under string dtype');\n    } else {\n      // TODO(cais, smilkov): Add WebGL shader for onesLike:\n      //   https://github.com/tensorflow/tfjs/issues/1293\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return this.fill(x.shape, x.dtype === 'string' ? '' : 0, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    // TODO: Use CPU implementation due to the precision problem in Safari.\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  makeTensorInfo(shape: number[], dtype: DataType): TensorInfo {\n    const dataId = this.write(null /* values */, shape, dtype);\n    this.texData.get(dataId).usage = null;\n    return {dataId, shape, dtype};\n  }\n\n  private makeOutput<T extends Tensor>(shape: number[], dtype: DataType): T {\n    const {dataId} = this.makeTensorInfo(shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  private unpackTensor(input: TensorInfo): TensorInfo {\n    const program = new UnpackProgram(input.shape);\n    return this.runWebGLProgram(program, [input], input.dtype);\n  }\n\n  private packTensor(input: TensorInfo): TensorInfo {\n    const program = new PackProgram(input.shape);\n    const preventEagerUnpackingOutput = true;\n    return this.runWebGLProgram(\n        program, [input], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOutput);\n  }\n\n  private packedReshape(input: TensorInfo, afterShape: number[]): TensorInfo {\n    const input3DShape = [\n      webgl_util.getBatchDim(input.shape),\n      ...webgl_util.getRowsCols(input.shape)\n    ] as [number, number, number];\n    const input3D: TensorInfo = {\n      dtype: input.dtype,\n      shape: input3DShape,\n      dataId: input.dataId\n    };\n    const afterShapeAs3D = [\n      webgl_util.getBatchDim(afterShape), ...webgl_util.getRowsCols(afterShape)\n    ] as [number, number, number];\n\n    const program = new ReshapePackedProgram(afterShapeAs3D, input3DShape);\n    const preventEagerUnpackingOfOutput = true;\n    const output = this.runWebGLProgram(\n        program, [input3D], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOfOutput);\n    return {dataId: output.dataId, shape: afterShape, dtype: output.dtype};\n  }\n\n  private decode(dataId: DataId): TensorInfo {\n    const texData = this.texData.get(dataId);\n    const {isPacked, shape, dtype} = texData;\n    const shapeAs3D =\n        webgl_util.getShapeAs3D(shape) as [number, number, number];\n    let program;\n    if (isPacked) {\n      program = new DecodeMatrixPackedProgram(shapeAs3D);\n    } else {\n      program = new DecodeMatrixProgram(shapeAs3D);\n    }\n    const preventEagerUnpackingOfOutput = true;\n    const out = this.runWebGLProgram(\n        program, [{shape: shapeAs3D, dtype, dataId}], dtype,\n        null /* customSetup */, preventEagerUnpackingOfOutput);\n    return {dtype, shape, dataId: out.dataId};\n  }\n\n  runWebGLProgram(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): TensorInfo {\n    const output = this.makeTensorInfo(program.outputShape, outputDtype);\n    const outData = this.texData.get(output.dataId);\n    if (program.packedOutput) {\n      outData.isPacked = true;\n    }\n    if (program.outPackingScheme === tex_util.PackingScheme.DENSE) {\n      const texelShape = tex_util.getDenseTexShape(program.outputShape);\n      // For a densely packed output, we explicitly set texShape\n      // so it doesn't get assigned later according to our typical packing\n      // scheme wherein a single texel can only contain values from adjacent\n      // rows/cols.\n      outData.texShape = texelShape.map(d => d * 2) as [number, number];\n    }\n    if (program.outTexUsage != null) {\n      outData.usage = program.outTexUsage;\n    }\n    if (sizeFromShape(output.shape) === 0) {\n      // Short-circuit the computation since the result is empty (has 0 in its\n      // shape).\n      outData.values = getTypedArrayFromDType(output.dtype as 'float32', 0);\n      return output;\n    }\n\n    const dataToDispose: TensorInfo[] = [];\n    const inputsData: TensorData[] = inputs.map(input => {\n      if (input.dtype === 'complex64') {\n        throw new Error(\n            `GPGPUProgram does not support complex64 input. For complex64 ` +\n            `dtypes, please separate the program into real and imaginary ` +\n            `parts.`);\n      }\n\n      let texData = this.texData.get(input.dataId);\n\n      if (texData.texture == null) {\n        if (!program.packedInputs &&\n            util.sizeFromShape(input.shape) <=\n                env().getNumber('WEBGL_SIZE_UPLOAD_UNIFORM')) {\n          // Upload small tensors that live on the CPU as uniforms, not as\n          // textures. Do this only when the environment supports 32bit floats\n          // due to problems when comparing 16bit floats with 32bit floats.\n          // TODO(https://github.com/tensorflow/tfjs/issues/821): Make it\n          // possible for packed shaders to sample from uniforms.\n          return {\n            shape: input.shape,\n            texData: null,\n            isUniform: true,\n            uniformValues: texData.values as TypedArray\n          };\n        }\n\n        // This ensures that if a packed program's inputs have not yet been\n        // uploaded to the GPU, they get uploaded as packed right off the bat.\n        if (program.packedInputs) {\n          texData.isPacked = true;\n          texData.shape = input.shape;\n        }\n      } else if (!!texData.isPacked !== !!program.packedInputs) {\n        input = texData.isPacked ? this.unpackTensor(input) :\n                                   this.packTensor(input);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n      } else if (\n          texData.isPacked &&\n          !webgl_util.isReshapeFree(texData.shape, input.shape)) {\n        // This is a special case where a texture exists for a tensor\n        // but the shapes are incompatible (due to packing constraints) because\n        // the tensor did not have a chance to go through the packed reshape\n        // shader. This only happens when we reshape the *same* tensor to form\n        // *distinct* inputs to an op, e.g. dotting a vector with itself. This\n        // case will disappear once packed uploading is the default.\n\n        const savedInput = input;\n        const targetShape = input.shape;\n\n        input.shape = texData.shape;\n        input = this.packedReshape(input as Tensor, targetShape);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n\n        savedInput.shape = targetShape;\n      }\n\n      this.uploadToGPU(input.dataId);\n      return {shape: input.shape, texData, isUniform: false};\n    });\n\n    this.uploadToGPU(output.dataId);\n    const outputData:\n        TensorData = {shape: output.shape, texData: outData, isUniform: false};\n    const key = gpgpu_math.makeShaderKey(program, inputsData, outputData);\n    const binary = this.getAndSaveBinary(key, () => {\n      return gpgpu_math.compileProgram(\n          this.gpgpu, program, inputsData, outputData);\n    });\n    const shouldTimeProgram = this.activeTimers != null;\n    let query: WebGLQuery|CPUTimerQuery;\n    if (shouldTimeProgram) {\n      query = this.startTimer();\n    }\n\n    gpgpu_math.runProgram(\n        this.gpgpu, binary, inputsData, outputData, customSetup);\n\n    dataToDispose.forEach(info => this.disposeData(info.dataId));\n\n    if (shouldTimeProgram) {\n      query = this.endTimer(query);\n      this.activeTimers.push(\n          {name: program.constructor.name, query: this.getQueryTime(query)});\n    }\n\n    if (!env().getBool('WEBGL_LAZILY_UNPACK') && outData.isPacked &&\n        preventEagerUnpackingOfOutput === false) {\n      const unpacked = this.unpackTensor(output);\n      this.disposeData(output.dataId);\n      return unpacked;\n    }\n    return output;\n  }\n\n  compileAndRun<K extends TensorInfo>(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype?: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): K {\n    outputDtype = outputDtype || inputs[0].dtype;\n    const outInfo = this.runWebGLProgram(\n        program, inputs, outputDtype, customSetup,\n        preventEagerUnpackingOfOutput);\n    return ENGINE.makeTensorFromDataId(\n               outInfo.dataId, outInfo.shape, outInfo.dtype) as {} as K;\n  }\n\n  private getAndSaveBinary(key: string, getBinary: () => GPGPUBinary):\n      GPGPUBinary {\n    if (!(key in this.binaryCache)) {\n      this.binaryCache[key] = getBinary();\n    }\n    return this.binaryCache[key];\n  }\n\n  getTextureManager(): TextureManager {\n    return this.textureManager;\n  }\n\n  private disposed = false;\n\n  dispose() {\n    if (this.disposed) {\n      return;\n    }\n    // Avoid disposing the compiled webgl programs during unit testing because\n    // it slows down test execution.\n    if (!env().getBool('IS_TEST')) {\n      const allKeys = Object.keys(this.binaryCache);\n      allKeys.forEach(key => {\n        this.gpgpu.deleteProgram(this.binaryCache[key].webGLProgram);\n        delete this.binaryCache[key];\n      });\n    }\n    this.textureManager.dispose();\n    if (this.canvas != null &&\n        (typeof (HTMLCanvasElement) !== 'undefined' &&\n         this.canvas instanceof HTMLCanvasElement)) {\n      this.canvas.remove();\n    } else {\n      this.canvas = null;\n    }\n    if (this.gpgpuCreatedLocally) {\n      this.gpgpu.program = null;\n      this.gpgpu.dispose();\n    }\n    this.disposed = true;\n  }\n\n  floatPrecision(): 16|32 {\n    if (this.floatPrecisionValue == null) {\n      this.floatPrecisionValue = tidy(() => {\n        if (!env().get('WEBGL_RENDER_FLOAT32_ENABLED')) {\n          // Momentarily switching DEBUG flag to false so we don't throw an\n          // error trying to upload a small value.\n          const debugFlag = env().getBool('DEBUG');\n          env().set('DEBUG', false);\n          const underflowCheckValue = this.abs(scalar(1e-8)).dataSync()[0];\n          env().set('DEBUG', debugFlag);\n\n          if (underflowCheckValue > 0) {\n            return 32;\n          }\n        }\n        return 16;\n      });\n    }\n    return this.floatPrecisionValue;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  private uploadToGPU(dataId: DataId): void {\n    const texData = this.texData.get(dataId);\n    const {shape, dtype, values, texture, usage, isPacked} = texData;\n\n    if (texture != null) {\n      // Array is already on GPU. No-op.\n      return;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let texShape = texData.texShape;\n    if (texShape == null) {\n      texShape = webgl_util.getTextureShapeFromLogicalShape(shape, isPacked);\n      texData.texShape = texShape;\n    }\n\n    if (values != null) {\n      const shapeAs3D = webgl_util.getShapeAs3D(shape);\n\n      let program;\n      let width = texShape[1], height = texShape[0];\n      const isByteArray = values instanceof Uint8Array;\n\n      if (isPacked) {\n        [width, height] = tex_util.getPackedMatrixTextureShapeWidthHeight(\n            texShape[0], texShape[1]);\n        program = new EncodeMatrixPackedProgram(\n            shapeAs3D, [height, width], isByteArray);\n      } else {\n        program =\n            new EncodeMatrixProgram(shapeAs3D, [height, width], isByteArray);\n      }\n\n      const tempDenseInputHandle = this.makeTensorInfo([height, width], dtype);\n      if (isByteArray) {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.PIXELS;\n      } else {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.UPLOAD;\n      }\n      this.gpgpu.uploadDenseMatrixToTexture(\n          this.getTexture(tempDenseInputHandle.dataId), width, height,\n          values as TypedArray);\n\n      // We want the output to remain packed regardless of the value of\n      // WEBGL_PACK.\n      const preventEagerUnpacking = true;\n      const encodedOutputTarget = this.runWebGLProgram(\n          program, [tempDenseInputHandle], dtype, null, preventEagerUnpacking);\n\n      // Have the original texture assume the identity of the encoded output.\n      const outputTexData = this.texData.get(encodedOutputTarget.dataId);\n      texData.texture = outputTexData.texture;\n      texData.texShape = outputTexData.texShape;\n      texData.isPacked = outputTexData.isPacked;\n      texData.usage = outputTexData.usage;\n\n      this.disposeData(tempDenseInputHandle.dataId);\n      this.texData.delete(encodedOutputTarget.dataId);\n\n      // Once uploaded, don't store the values on cpu.\n      texData.values = null;\n      if (shouldTimeProgram) {\n        this.uploadWaitMs += util.now() - start;\n      }\n    } else {\n      const newTexture = this.acquireTexture(texShape, usage, dtype, isPacked);\n      texData.texture = newTexture;\n    }\n  }\n\n  private convertAndCacheOnCPU(dataId: DataId, float32Values?: Float32Array):\n      TypedArray {\n    const texData = this.texData.get(dataId);\n    const {dtype} = texData;\n\n    this.releaseGPUData(dataId);\n\n    if (float32Values != null) {\n      texData.values = float32ToTypedArray(float32Values, dtype as 'float32');\n    }\n    return texData.values as TypedArray;\n  }\n\n  private acquireTexture(\n      texShape: [number, number], texType: TextureUsage, dtype: DataType,\n      isPacked: boolean): WebGLTexture {\n    this.numBytesInGPU += this.computeBytes(texShape, dtype);\n    if (!this.warnedAboutMemory &&\n        this.numBytesInGPU > this.numMBBeforeWarning * 1024 * 1024) {\n      const mb = (this.numBytesInGPU / 1024 / 1024).toFixed(2);\n      this.warnedAboutMemory = true;\n      console.warn(\n          `High memory usage in GPU: ${mb} MB, ` +\n          `most likely due to a memory leak`);\n    }\n    return this.textureManager.acquireTexture(texShape, texType, isPacked);\n  }\n\n  private computeBytes(shape: [number, number], dtype: DataType) {\n    return shape[0] * shape[1] * util.bytesPerElement(dtype);\n  }\n}\n\nif (device_util.isBrowser()) {\n  ENGINE.registerBackend(\n      'webgl', () => new MathBackendWebGL(), 2 /* priority */);\n}\n\nfunction float32ToTypedArray<D extends NumericDataType>(\n    a: Float32Array, dtype: D): DataTypeMap[D] {\n  if (dtype === 'float32' || dtype === 'complex64') {\n    return a as DataTypeMap[D];\n  } else if (dtype === 'int32' || dtype === 'bool') {\n    const result = (dtype === 'int32') ? new Int32Array(a.length) :\n                                         new Uint8Array(a.length);\n    for (let i = 0; i < result.length; ++i) {\n      result[i] = Math.round(a[i]);\n    }\n    return result as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {nearestDivisor} from '../util';\n\nimport {PARALLELIZE_THRESHOLD} from './reduce_util';\n\nexport interface SegOpInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n  numSegments: number;\n}\n\nexport function segOpComputeOptimalWindowSize(\n    inSize: number, numSegments: number): number {\n  let done = false;\n  let res;\n\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    res = inSize;\n    done = true;\n  } else {\n    res = nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n  }\n\n  while (!done) {\n    if (res > numSegments || res === inSize) {\n      done = true;\n    } else {\n      res = nearestDivisor(inSize, res + 1);\n    }\n  }\n  return res;\n}\n\nexport function computeOutShape(\n    aShape: number[], axis: number, numSegments: number): number[] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (dim !== axis) {\n      outShape.push(aShape[dim]);\n    } else {\n      outShape.push(numSegments);\n    }\n  }\n  return outShape;\n}\n\nexport interface GatherOpShapeInfo {\n  batchSize: number;\n  sliceSize: number;\n  dimSize: number;\n  outputShape: number[];\n}\nexport function collectGatherOpShapeInfo(\n    x: Tensor, indices: Tensor, axis: number): GatherOpShapeInfo {\n  const dimSize = x.shape[axis];\n\n  const outputShape: number[] = [];\n  let batchSize = 1;\n  let sliceSize = 1;\n  for (let i = 0; i < axis; i++) {\n    outputShape.push(x.shape[i]);\n    batchSize *= x.shape[i];\n  }\n\n  for (let i = 0; i < indices.rank; i++) {\n    outputShape.push(indices.shape[i]);\n  }\n\n  for (let i = axis + 1; i < x.rank; i++) {\n    outputShape.push(x.shape[i]);\n    sliceSize *= x.shape[i];\n  }\n\n  return {batchSize, sliceSize, dimSize, outputShape};\n}\n","// A port of an algorithm by Johannes Baagøe <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baagøe <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorshift7\" algorithm by\n// François Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n","// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n","// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n","// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baagøe.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by François Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {AddNInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Adds a list of `tf.Tensor`s element-wise, each with the same shape and dtype.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n *\n * tf.addN([a, b, c]).print();\n * ```\n * @param tensors A list of tensors with the same shape and dtype.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction addN_<T extends Tensor>(tensors: Array<T|TensorLike>): T {\n  util.assert(\n      Array.isArray(tensors),\n      () => 'The argument passed to tf.addN() must be a list of tensors');\n  util.assert(\n      tensors.length >= 1,\n      () => `Must pass at least one tensor to tf.addN(), but got ` +\n          `${tensors.length}`);\n\n  const $tensors =\n      tensors.map((t, i) => convertToTensor(t, `tensors${i}`, 'addN'));\n\n  const firstTensor = $tensors[0];\n  $tensors.forEach(t => {\n    if (t.dtype !== firstTensor.dtype) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same dtype');\n    }\n  });\n\n  $tensors.forEach(t => {\n    if (!util.arraysEqual(t.shape, firstTensor.shape)) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same shape');\n    }\n  });\n\n  const forward: ForwardFunc<Tensor> = (backend, save) =>\n      backend.addN($tensors);\n\n  const inputs: AddNInputs = $tensors;\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* grad */,\n             'AddN') as T;\n}\n\nexport const addN = op({addN_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {deprecationWarn} from '../globals';\nimport {Tensor, Tensor4D} from '../tensor';\nimport {Rank} from '../types';\n\nexport function warnDeprecation(): void {\n  deprecationWarn(\n      'tf.batchNormalization() is going away. ' +\n      'Use tf.batchNorm() instead, and note the positional argument change ' +\n      'of scale, offset, and varianceEpsilon');\n}\n\nexport function xAs4D<R extends Rank>(x: Tensor<R>) {\n  let x4D: Tensor4D;\n  if (x.rank === 0 || x.rank === 1) {\n    x4D = x.as4D(1, 1, 1, x.size);\n  } else if (x.rank === 2) {\n    x4D = x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  } else {\n    x4D = x as Tensor4D;\n  }\n\n  return x4D;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {FusedBatchNormAttrs, FusedBatchNormInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor, Tensor1D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {warnDeprecation, xAs4D} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * @deprecated Please use `tf.batchNorm` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n  warnDeprecation();\n  return batchNorm_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n/**\n * Batch normalization.\n *\n * As described in\n * [http://arxiv.org/abs/1502.03167](http://arxiv.org/abs/1502.03167).\n *\n * Mean, variance, scale, and offset can be of two shapes:\n *   - The same shape as the input.\n *   - In the common case, the depth dimension is the last dimension of x, so\n *     the values would be an `tf.Tensor1D` of shape [depth].\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that parameters passed are of given rank\n *   - `tf.batchNorm2d`\n *   - `tf.batchNorm3d`\n *   - `tf.batchNorm4d`\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction batchNorm_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor<R> {\n  if (varianceEpsilon == null) {\n    varianceEpsilon = 0.001;\n  }\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor<R>|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor<R>|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n\n  util.assert(\n      $mean.rank === $variance.rank,\n      () => 'Batch normalization gradient requires mean and variance to have ' +\n          'equal ranks.');\n  util.assert(\n      $offset == null || $mean.rank === $offset.rank,\n      () => 'Batch normalization gradient requires mean and offset to have ' +\n          'equal ranks.');\n  util.assert(\n      $scale == null || $mean.rank === $scale.rank,\n      () => 'Batch normalization gradient requires mean and scale to have ' +\n          'equal ranks.');\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const x4D: Tensor4D = xAs4D($x);\n\n    const res = backend.batchNormalization(\n        x4D, as1DOr4D($mean), as1DOr4D($variance), varianceEpsilon,\n        as1DOr4D($scale), as1DOr4D($offset));\n\n    save([$x, $mean, $variance, $scale]);\n\n    return res;\n  };\n\n  const inputs: FusedBatchNormInputs =\n      {x: $x, scale: $scale, offset: $offset, mean: $mean, variance: $variance};\n\n  const attrs: FusedBatchNormAttrs = {varianceEpsilon};\n\n  const res = ENGINE.runKernelFunc(\n      forward, inputs as {} as NamedTensorMap, null /* gradient */,\n      'FusedBatchNorm', attrs as {} as NamedAttrMap);\n\n  return res.reshape($x.shape);\n}\n\nfunction as1DOr4D(x: Tensor): Tensor4D|Tensor1D {\n  if (x == null) {\n    return null;\n  }\n  if (x.rank === 0) {\n    return x.as1D();\n  } else if (x.rank === 1) {\n    return x as Tensor1D;\n  } else if (x.rank === 2) {\n    return x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    return x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  return x as Tensor4D;\n}\n\n// todo(yassogba): Remove batchNormalization since it is deprecated.\nexport const batchNormalization = op({batchNormalization_});\nexport const batchNorm = op({batchNorm_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 2D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike, scale?: Tensor2D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor2D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor2D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 2,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 2 || $mean.rank === 1,\n      () => `Error in batchNorm2D: mean must be rank 2 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 2 || $variance.rank === 1,\n      () => `Error in batchNorm2D: variance must be rank 2 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 2 || $scale.rank === 1,\n        () => `Error in batchNorm2D: scale must be rank 2 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 2 || $offset.rank === 1,\n        () => `Error in batchNorm2D: offset must be rank 2 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm2d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike): Tensor2D {\n  warnDeprecation();\n  return batchNorm2d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization2d since it is deprecated.\nexport const batchNormalization2d = op({batchNormalization2d_});\nexport const batchNorm2d = op({batchNorm2d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 3D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike, scale?: Tensor3D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor3D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor3D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 3,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 3 || $mean.rank === 1,\n      () => `Error in batchNorm3D: mean must be rank 3 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 3 || $variance.rank === 1,\n      () => `Error in batchNorm3D: variance must be rank 3 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 3 || $scale.rank === 1,\n        () => `Error in batchNorm3D: scale must be rank 3 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 3 || $offset.rank === 1,\n        () => `Error in batchNorm3D: offset must be rank 3 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm3d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike): Tensor3D {\n  warnDeprecation();\n  return batchNorm3d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization3d since it is deprecated.\nexport const batchNormalization3d = op({batchNormalization3d_});\nexport const batchNorm3d = op({batchNorm3d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 4D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike, scale?: Tensor4D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor4D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor4D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 4,\n      () => `Error in batchNorm4D: x must be rank 4 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 4 || $mean.rank === 1,\n      () => `Error in batchNorm4D: mean must be rank 4 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 4 || $variance.rank === 1,\n      () => `Error in batchNorm4D: variance must be rank 4 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 4 || $scale.rank === 1,\n        () => `Error in batchNorm4D: scale must be rank 4 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 4 || $offset.rank === 1,\n        () => `Error in batchNorm4D: offset must be rank 4 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm4d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike): Tensor4D {\n  warnDeprecation();\n  return batchNorm4d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization4d since it is deprecated.\nexport const batchNormalization4d = op({batchNormalization4d_});\nexport const batchNorm4d = op({batchNorm4d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from '../backends/backend';\nimport {ENGINE} from '../engine';\nimport {BroadcastTo, BroadCastToAttrs, BroadcastToInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Broadcast an array to a compatible shape NumPy-style.\n *\n * The tensor's shape is compared to the broadcast shape from end to beginning.\n * Ones are prepended to the tensor's shape until is has the same length as\n * the broadcast shape. If input.shape[i]==shape[i], the (i+1)-th axis is\n * already broadcast-compatible. If input.shape[i]==1 and shape[i]==N, then\n * the input tensor is tiled N times along that axis (using tf.tile).\n *\n * @param input The tensor that is to be broadcasted.\n * @param shape The input is to be broadcast to this shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction broadcastTo_<R extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R]): Tensor<R> {\n  let input = convertToTensor(x, 'broadcastTo', 'x');\n  const xShape = input.shape;\n\n  if (shape.some(d => !(d > 0) || d % 1 !== 0)) {\n    throw new Error(`broadcastTo(): Invalid broadcast shape [${shape}].`);\n  }\n\n  if (shape.length < input.rank) {\n    throw new Error(`broadcastTo(): shape.length=${shape.length} < input.rank=${\n        input.rank}.`);\n  }\n\n  if (shape.length > input.rank) {\n    const newShape = input.shape.slice();\n    while (newShape.length < shape.length) {\n      newShape.unshift(1);\n    }\n    input = input.reshape(newShape);\n  }\n\n  const inputShape = input.shape;\n  const reps: number[] = Array.from(shape);\n  for (let i = shape.length - 1; i >= 0; i--) {\n    if (inputShape[i] === shape[i]) {\n      reps[i] = 1;\n    } else if (input.shape[i] !== 1) {\n      throw new Error(\n          `broadcastTo(): [${xShape}] cannot be broadcast to [${shape}].`);\n    }\n  }\n  const axes = reps.map((n, i) => n > 1 ? i : -1).filter(i => i >= 0);\n\n  if (axes.length === 0) {\n    return input.clone() as Tensor<R>;\n  }\n\n  const forward = (backend: KernelBackend) => backend.tile(input, reps);\n  const keepDims = true;\n  const backward = (dy: Tensor) => ({x: () => dy.sum(axes, keepDims)});\n\n  const inputs: BroadcastToInputs = {x: input};\n  const attrs: BroadCastToAttrs = {shape, inputShape};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as unknown as NamedTensorMap, backward,\n             BroadcastTo, attrs as unknown as NamedAttrMap) as Tensor<R>;\n}\n\nexport const broadcastTo = op({broadcastTo_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Identity} from '../kernel_names';\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Creates a new tensor with the same values and shape as the specified\n * tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n *\n * x.clone().print();\n * ```\n *\n * @param x The tensor to clone.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction clone_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'clone', null);\n  const forward = () =>\n      ENGINE.makeTensorFromDataId($x.dataId, $x.shape, $x.dtype) as T;\n\n  // Note this op is called tf.identity in python. Hence the kernel name used\n  // here.\n  return ENGINE.runKernelFunc(forward, {x: $x}, null /* grad */, Identity);\n}\n\nexport const clone = op({clone_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {whereImpl} from '../backends/where_impl';\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of `NOT x` element-wise.\n *\n * ```js\n * const a = tf.tensor1d([false, true], 'bool');\n *\n * a.logicalNot().print();\n * ```\n *\n * @param x The input tensor. Must be of dtype 'bool'.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalNot_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logicalNot', 'bool');\n  return ENGINE.runKernelFunc(backend => backend.logicalNot($x), {$x});\n}\n\n/**\n * Returns the truth value of `a AND b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalAnd(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalAnd_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalAnd', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalAnd', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.logicalAnd($a, $b), {a: $a, b: $b},\n             null /* grad */, 'LogicalAnd') as T;\n}\n\n/**\n * Returns the truth value of `a OR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalOr(b).print();\n * ```\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalOr_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalOr', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalOr', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.logicalOr($a, $b), {$a, $b}) as\n      T;\n}\n\n/**\n * Returns the truth value of `a XOR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalXor(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalXor_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalXor', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalXor', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  // x ^ y = (x | y) & ~(x & y)\n  return logicalOr(a, b).logicalAnd(logicalAnd(a, b).logicalNot()) as T;\n}\n\n/**\n * Returns the elements, either `a` or `b` depending on the `condition`.\n *\n * If the condition is true, select from `a`, otherwise select from `b`.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const a = tf.tensor1d([1 , 2, 3]);\n * const b = tf.tensor1d([-1, -2, -3]);\n *\n * a.where(cond, b).print();\n * ```\n *\n * @param condition The input condition. Must be of dtype bool.\n * @param a If `condition` is rank 1, `a` may have a higher rank but\n *     its first dimension must match the size of `condition`.\n * @param b A tensor with the same shape and type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction where_<T extends Tensor>(\n    condition: Tensor|TensorLike, a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'where');\n  const $b = convertToTensor(b, 'b', 'where');\n  const $condition = convertToTensor(condition, 'condition', 'where', 'bool');\n\n  assertShapesMatch($a.shape, $b.shape, 'Error in where: ');\n\n  if ($condition.rank === 1) {\n    // If condition rank is 1, then the first dimension must match the size of\n    // condition.\n    assert(\n        $condition.shape[0] === $a.shape[0],\n        () => 'The first dimension of `a` must match the size of `condition`.');\n  } else {\n    // A must have the same shape as condition.\n    assertShapesMatch($condition.shape, $b.shape, 'Error in where: ');\n  }\n\n  // TODO(julianoks): Return null for condition gradient\n  // when backprop supports it.\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$condition] = saved;\n    return {\n      $condition: () => zerosLike($condition).toFloat(),\n      $a: () => dy.mul($condition.cast(dy.dtype)),\n      $b: () => dy.mul($condition.logicalNot().cast(dy.dtype))\n    } as {$a: () => T, $b: () => T, $condition: () => T};\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.select($condition, $a, $b);\n    save([$condition]);\n    return res;\n  }, {$condition, $a, $b}, grad) as T;\n}\n\n/**\n * Returns the coordinates of true elements of condition.\n *\n * The coordinates are returned in a 2-D tensor where the first dimension (rows)\n * represents the number of true elements, and the second dimension (columns)\n * represents the coordinates of the true elements. Keep in mind, the shape of\n * the output tensor can vary depending on how many true values there are in\n * input. Indices are output in row-major order. The resulting tensor has the\n * shape `[numTrueElems, condition.rank]`.\n *\n * This is analogous to calling the python `tf.where(cond)` without an x or y.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const result = await tf.whereAsync(cond);\n * result.print();\n * ```\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nasync function whereAsync_(condition: Tensor|TensorLike): Promise<Tensor2D> {\n  const $condition =\n      convertToTensor(condition, 'condition', 'whereAsync', 'bool');\n  const vals = await $condition.data();\n  const res = whereImpl($condition.shape, vals);\n  if (condition !== $condition) {\n    $condition.dispose();\n  }\n  return res;\n}\n\nexport const logicalAnd = op({logicalAnd_});\nexport const logicalNot = op({logicalNot_});\nexport const logicalOr = op({logicalOr_});\nexport const logicalXor = op({logicalXor_});\nexport const where = op({where_});\nexport const whereAsync = whereAsync_;\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {div} from './div';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting. Return 0\n * if denominator is 0.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n * const c = tf.tensor1d([0, 0, 0, 0]);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n * const c = tf.scalar(0);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction divNoNan_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  // TODO: Make this into its own kernel.\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const divResult = div($a, $b);\n  const zeros = zerosLike(divResult);\n  const bEqualsZero = $b.equal(zeros);\n  return where(bEqualsZero, zeros, divResult) as T;\n}\n\nexport const divNoNan = op({divNoNan_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tile, TileAttrs, TileInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {DataType, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Construct a tensor by repeating it the number of times given by reps.\n *\n * This operation creates a new tensor by replicating `input` `reps`\n * times. The output tensor's i'th dimension has `input.shape[i] *\n * reps[i]` elements, and the values of `input` are replicated\n * `reps[i]` times along the i'th dimension. For example, tiling\n * `[a, b, c, d]` by `[2]` produces `[a, b, c, d, a, b, c, d]`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n *\n * a.tile([2]).print();    // or a.tile([2])\n * ```\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.tile([1, 2]).print();  // or a.tile([1, 2])\n * ```\n * @param x The tensor to tile.\n * @param reps Determines the number of replications per dimension.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction tile_<T extends Tensor>(x: T|TensorLike, reps: number[]): T {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'tile', parseAs);\n  util.assert(\n      $x.rank === reps.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of reps ${reps}.`);\n\n  const forward: ForwardFunc<T> = (backend, save) => {\n    const res = backend.tile($x, reps);\n    save([$x]);\n    return res;\n  };\n\n  const inputsToSave = [$x];\n  const inputs: TileInputs = {x: $x};\n  const attrs: TileAttrs = {reps};\n\n  return ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, Tile,\n      attrs as unknown as NamedAttrMap, inputsToSave);\n}\n\nexport const tile = op({tile_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor2D} from '../tensor';\nimport {DataType} from '../types';\n\nimport {buffer, expandDims} from './array_ops';\nimport {op} from './operation';\nimport {tile} from './tile';\n\n/**\n * Create an identity matrix.\n *\n * @param numRows Number of rows.\n * @param numColumns Number of columns. Defaults to `numRows`.\n * @param batchShape If provided, will add the batch shape to the beginning\n *   of the shape of the returned `tf.Tensor` by repeating the identity\n *   matrix.\n * @param dtype Data type.\n * @returns Identity matrix of the specified size and data type, possibly\n *   with batch repetition if `batchShape` is specified.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction eye_(\n    numRows: number, numColumns?: number,\n    batchShape?:\n        [\n          number\n        ]|[number,\n           number]|[number, number, number]|[number, number, number, number],\n    dtype: DataType = 'float32'): Tensor2D {\n  if (numColumns == null) {\n    numColumns = numRows;\n  }\n  const buff = buffer([numRows, numColumns], dtype);\n  const n = numRows <= numColumns ? numRows : numColumns;\n  for (let i = 0; i < n; ++i) {\n    buff.set(1, i, i);\n  }\n  const out = buff.toTensor().as2D(numRows, numColumns);\n  if (batchShape == null) {\n    return out;\n  } else {\n    if (batchShape.length === 1) {\n      return tile(expandDims(out, 0), [batchShape[0], 1, 1]);\n    } else if (batchShape.length === 2) {\n      return tile(\n          expandDims(expandDims(out, 0), 0),\n          [batchShape[0], batchShape[1], 1, 1]);\n    } else if (batchShape.length === 3) {\n      return tile(\n          expandDims(expandDims(expandDims(out, 0), 0), 0),\n          [batchShape[0], batchShape[1], batchShape[2], 1, 1]);\n    } else {\n      throw new Error(\n          `eye() currently supports only 1D and 2D ` +\n          // tslint:disable-next-line:no-any\n          `batchShapes, but received ${(batchShape as any).length}D.`);\n    }\n  }\n}\n\nexport const eye = op({eye_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with values drawn from a multinomial distribution.\n *\n * ```js\n * const probs = tf.tensor([.75, .25]);\n * tf.multinomial(probs, 3).print();\n * ```\n *\n * @param logits 1D array with unnormalized log-probabilities, or\n *     2D array of shape `[batchSize, numOutcomes]`. See the `normalized`\n *     parameter.\n * @param numSamples Number of samples to draw for each row slice.\n * @param seed The seed number.\n * @param normalized Whether the provided `logits` are normalized true\n *     probabilities (sum to 1). Defaults to false.\n * @return 1D array of shape `[numSamples]`, or 2D array of shape\n *     `[batchSize, numSamples]`, depending on the rank of the input.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction multinomial_(\n    logits: Tensor1D|Tensor2D|TensorLike, numSamples: number, seed?: number,\n    normalized = false): Tensor1D|Tensor2D {\n  const $logits = convertToTensor(logits, 'logits', 'multinomial');\n  const numOutcomes = $logits.size;\n  const origRank = $logits.rank;\n  if (numOutcomes < 2) {\n    throw new Error(\n        `Error in multinomial: you need at least 2 outcomes, but got ` +\n        `${numOutcomes}.`);\n  }\n  if (origRank > 2) {\n    throw new Error(`Rank of probabilities must be 1 or 2, but is ${origRank}`);\n  }\n  seed = seed || Math.random();\n  const logits2D = origRank === 1 ? $logits.as2D(1, -1) : $logits as Tensor2D;\n  const res = ENGINE.runKernelFunc(\n      backend => backend.multinomial(logits2D, normalized, numSamples, seed),\n      {logits2D});\n  return origRank === 1 ? res.as1D() : res;\n}\n\nexport const multinomial = op({multinomial_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {OneHot, OneHotAttrs, OneHotInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Creates a one-hot `tf.Tensor`. The locations represented by `indices` take\n * value `onValue` (defaults to 1), while all other locations take value\n * `offValue` (defaults to 0). If `indices` is rank `R`, the output has rank\n * `R+1` with the last axis of size `depth`.\n *\n * ```js\n * tf.oneHot(tf.tensor1d([0, 1], 'int32'), 3).print();\n * ```\n *\n * @param indices `tf.Tensor` of indices with dtype `int32`.\n * @param depth The depth of the one hot dimension.\n * @param onValue A number used to fill in the output when the index matches\n * the location.\n * @param offValue A number used to fill in the output when the index does\n *     not match the location.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction oneHot_(\n    indices: Tensor|TensorLike, depth: number, onValue = 1,\n    offValue = 0): Tensor {\n  if (depth < 2) {\n    throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);\n  }\n  let $indices = convertToTensor(indices, 'indices', 'oneHot', 'int32');\n  const outShape = [...$indices.shape, depth];\n  $indices = $indices.flatten();\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    save([$indices]);\n    return backend.oneHot($indices as Tensor1D, depth, onValue, offValue);\n  };\n\n  const inputs: OneHotInputs = {indices: $indices};\n  const attrs: OneHotAttrs = {depth, onValue, offValue};\n\n  const result = ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, OneHot,\n      attrs as unknown as NamedAttrMap);\n  return result.reshape(outShape);\n}\n\nexport const oneHot = op({oneHot_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {PadV2, PadV2Attrs, PadV2Inputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Pads a `tf.Tensor` with a given value and paddings.\n *\n * This operation currently only implements the `CONSTANT` mode.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `paddings` is of given length.\n *   - `tf.pad1d`\n *   - `tf.pad2d`\n *   - `tf.pad3d`\n *   - `tf.pad4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.pad([[1, 2]]).print();\n * ```\n * @param x The tensor to pad.\n * @param paddings An array of length `R` (the rank of the tensor), where\n * each element is a length-2 tuple of ints `[padBefore, padAfter]`,\n * specifying how much to pad along each dimension of the tensor.\n * @param constantValue The pad value to use. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction pad_<T extends Tensor>(\n    x: T|TensorLike, paddings: Array<[number, number]>, constantValue = 0): T {\n  const $x = convertToTensor(x, 'x', 'pad');\n  if ($x.rank === 0) {\n    throw new Error('pad(scalar) is not defined. Pass non-scalar to pad');\n  }\n  const forward: ForwardFunc<T> = (backend, save) => {\n    save([$x]);\n    return backend.pad($x, paddings, constantValue);\n  };\n\n  const attrs: PadV2Attrs = {paddings, constantValue};\n  const inputs: PadV2Inputs = {x: $x};\n  return ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, PadV2,\n      attrs as unknown as NamedAttrMap);\n}\n\nexport const pad = op({pad_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor1D` with a given value and paddings. See `pad` for details.\n */\nfunction pad1d_(\n    x: Tensor1D|TensorLike, paddings: [number, number],\n    constantValue = 0): Tensor1D {\n  assert(\n      paddings.length === 2,\n      () => 'Invalid number of paddings. Must be length of 2.');\n  return pad(x, [paddings], constantValue);\n}\n\nexport const pad1d = op({pad1d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor2D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor2D` with a given value and paddings. See `pad` for details.\n */\nfunction pad2d_(\n    x: Tensor2D|TensorLike, paddings: [[number, number], [number, number]],\n    constantValue = 0): Tensor2D {\n  assert(\n      paddings.length === 2 && paddings[0].length === 2 &&\n          paddings[1].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad2d = op({pad2d_});\n","import {Tensor3D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor3D` with a given value and paddings. See `pad` for details.\n */\nfunction pad3d_(\n    x: Tensor3D|TensorLike,\n    paddings: [[number, number], [number, number], [number, number]],\n    constantValue = 0): Tensor3D {\n  assert(\n      paddings.length === 3 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad3d = op({pad3d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor4D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor4D` with a given value and paddings. See `pad` for details.\n */\nfunction pad4d_(\n    x: Tensor4D|TensorLike,\n    paddings:\n        [\n          [number, number], [number, number], [number, number], [number, number]\n        ],\n    constantValue = 0): Tensor4D {\n  assert(\n      paddings.length === 4 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2 &&\n          paddings[3].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad4d = op({pad4d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a random number generator\n * function defined by the user.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param randFunction A random number generator function which is called\n * for each element in the output tensor.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\nfunction rand_<R extends Rank>(\n    shape: ShapeMap[R], randFunction: () => number,\n    dtype?: DataType): Tensor<R> {\n  const size = sizeFromShape(shape);\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  for (let i = 0; i < size; i++) {\n    values[i] = randFunction();\n  }\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\nexport const rand = op({rand_});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {inferShape} from './tensor_util_env';\nimport {RecursiveArray, TensorLike, TypedArray} from './types';\nimport {arraysEqual, flatten, isString, isTypedArray} from './util';\n\nconst TEST_EPSILON_FLOAT32 = 1e-3;\nexport const TEST_EPSILON_FLOAT16 = 1e-1;\n\nexport function expectArraysClose(\n    actual: TypedArray|number|RecursiveArray<number>,\n    expected: TypedArray|number|RecursiveArray<number>, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, epsilon));\n}\n\nexport function testEpsilon() {\n  return ENGINE.backend.floatPrecision() === 32 ? TEST_EPSILON_FLOAT32 :\n                                                  TEST_EPSILON_FLOAT16;\n}\n\nfunction expectArraysPredicate(\n    actual: TensorLike, expected: TensorLike,\n    predicate: (a: {}, b: {}) => boolean) {\n  let checkClassType = true;\n  if (isTypedArray(actual) || isTypedArray(expected)) {\n    checkClassType = false;\n  }\n  if (isTypedArray(actual) && isTypedArray(expected)) {\n    checkClassType = true;\n  }\n  if (checkClassType) {\n    const aType = actual.constructor.name;\n    const bType = expected.constructor.name;\n\n    if (aType !== bType) {\n      throw new Error(\n          `Arrays are of different type. Actual: ${aType}. ` +\n          `Expected: ${bType}`);\n    }\n  }\n\n  if (Array.isArray(actual) && Array.isArray(expected)) {\n    const actualShape = inferShape(actual);\n    const expectedShape = inferShape(expected);\n    if (!arraysEqual(actualShape, expectedShape)) {\n      throw new Error(\n          `Arrays have different shapes. ` +\n          `Actual: [${actualShape}]. Expected: [${expectedShape}]`);\n    }\n  }\n\n  const actualFlat =\n      isTypedArray(actual) ? actual : flatten(actual as RecursiveArray<number>);\n  const expectedFlat = isTypedArray(expected) ?\n      expected :\n      flatten(expected as RecursiveArray<number>);\n\n  if (actualFlat.length !== expectedFlat.length) {\n    throw new Error(\n        `Arrays have different lengths actual: ${actualFlat.length} vs ` +\n        `expected: ${expectedFlat.length}.\\n` +\n        `Actual:   ${actualFlat}.\\n` +\n        `Expected: ${expectedFlat}.`);\n  }\n  for (let i = 0; i < expectedFlat.length; ++i) {\n    const a = actualFlat[i];\n    const e = expectedFlat[i];\n\n    if (!predicate(a, e)) {\n      throw new Error(\n          `Arrays differ: actual[${i}] = ${a}, expected[${i}] = ${e}.\\n` +\n          `Actual:   ${actualFlat}.\\n` +\n          `Expected: ${expectedFlat}.`);\n    }\n  }\n}\n\nexport interface DoneFn {\n  (): void;\n  fail: (message?: Error|string) => void;\n}\n\nexport function expectPromiseToFail(fn: () => Promise<{}>, done: DoneFn): void {\n  fn().then(() => done.fail(), () => done());\n}\n\nexport function expectArraysEqual(actual: TensorLike, expected: TensorLike) {\n  const exp = typeof expected === 'string' || typeof expected === 'number' ||\n          typeof expected === 'boolean' ?\n      [expected] as number[] :\n      expected as number[];\n  if (isString(actual) || isString((actual as string[])[0]) ||\n      isString(expected) || isString((expected as string[])[0])) {\n    // tslint:disable-next-line: triple-equals\n    return expectArraysPredicate(actual, exp, (a, b) => a == b);\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, 0));\n}\n\nexport function expectNumbersClose(a: number, e: number, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  if (!areClose(a, e, epsilon)) {\n    throw new Error(`Numbers differ: actual === ${a}, expected === ${e}`);\n  }\n}\n\nfunction areClose(a: number, e: number, epsilon: number): boolean {\n  if (!isFinite(a) && !isFinite(e)) {\n    return true;\n  }\n  if (isNaN(a) || isNaN(e) || Math.abs(a - e) > epsilon) {\n    return false;\n  }\n  return true;\n}\n\nexport function expectValuesInRange(\n    actual: TypedArray|number[], low: number, high: number) {\n  for (let i = 0; i < actual.length; i++) {\n    if (actual[i] < low || actual[i] > high) {\n      throw new Error(\n          `Value out of range:${actual[i]} low: ${low}, high: ${high}`);\n    }\n  }\n}\n\nexport function expectArrayBuffersEqual(\n    actual: ArrayBuffer, expected: ArrayBuffer) {\n  // Safari & Jasmine don't like comparing ArrayBuffers directly. Wrapping in\n  // a Float32Array solves this issue.\n  expect(new Float32Array(actual)).toEqual(new Float32Array(expected));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {expectNumbersClose, testEpsilon} from '../test_util';\nimport {TypedArray} from '../types';\n\nexport interface RandomBase {\n  nextValue(): number;\n}\n\nexport interface RandomGamma {\n  nextValue(): number;\n}\n\nexport interface RandNormalDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\nexport interface RandGammaDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\n// https://en.wikipedia.org/wiki/Marsaglia_polar_method\nexport class MPRandGauss implements RandomBase {\n  private mean: number;\n  private stdDev: number;\n  private nextVal: number;\n  private dtype?: keyof RandNormalDataTypes;\n  private truncated?: boolean;\n  private upper?: number;\n  private lower?: number;\n  private random: seedrandom.prng;\n\n  constructor(\n      mean: number, stdDeviation: number, dtype?: keyof RandNormalDataTypes,\n      truncated?: boolean, seed?: number) {\n    this.mean = mean;\n    this.stdDev = stdDeviation;\n    this.dtype = dtype;\n    this.nextVal = NaN;\n    this.truncated = truncated;\n    if (this.truncated) {\n      this.upper = this.mean + this.stdDev * 2;\n      this.lower = this.mean - this.stdDev * 2;\n    }\n    const seedValue = seed ? seed : Math.random();\n    this.random = seedrandom.alea(seedValue.toString());\n  }\n\n  /** Returns next sample from a Gaussian distribution. */\n  public nextValue(): number {\n    if (!isNaN(this.nextVal)) {\n      const value = this.nextVal;\n      this.nextVal = NaN;\n      return value;\n    }\n\n    let resultX: number, resultY: number;\n    let isValid = false;\n    while (!isValid) {\n      let v1: number, v2: number, s: number;\n      do {\n        v1 = 2 * this.random() - 1;\n        v2 = 2 * this.random() - 1;\n        s = v1 * v1 + v2 * v2;\n      } while (s >= 1 || s === 0);\n\n      const mul = Math.sqrt(-2.0 * Math.log(s) / s);\n      resultX = this.mean + this.stdDev * v1 * mul;\n      resultY = this.mean + this.stdDev * v2 * mul;\n\n      if (!this.truncated || this.isValidTruncated(resultX)) {\n        isValid = true;\n      }\n    }\n\n    if (!this.truncated || this.isValidTruncated(resultY)) {\n      this.nextVal = this.convertValue(resultY);\n    }\n    return this.convertValue(resultX);\n  }\n\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype == null || this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  /** Returns true if less than 2-standard-deviations from the mean. */\n  private isValidTruncated(value: number): boolean {\n    return value <= this.upper && value >= this.lower;\n  }\n}\n\n// Marsaglia, George, and Wai Wan Tsang. 2000. \"A Simple Method for Generating\n// Gamma Variables.\"\nexport class RandGamma implements RandomGamma {\n  private alpha: number;\n  private beta: number;\n  private d: number;\n  private c: number;\n  private dtype?: keyof RandGammaDataTypes;\n  private randu: seedrandom.prng;\n  private randn: MPRandGauss;\n\n  constructor(\n      alpha: number, beta: number, dtype: keyof RandGammaDataTypes,\n      seed?: number) {\n    this.alpha = alpha;\n    this.beta = 1 / beta;  // convert rate to scale parameter\n    this.dtype = dtype;\n\n    const seedValue = seed ? seed : Math.random();\n    this.randu = seedrandom.alea(seedValue.toString());\n    this.randn = new MPRandGauss(0, 1, dtype, false, this.randu());\n\n    if (alpha < 1) {\n      this.d = alpha + (2 / 3);\n    } else {\n      this.d = alpha - (1 / 3);\n    }\n    this.c = 1 / Math.sqrt(9 * this.d);\n  }\n\n  /** Returns next sample from a gamma distribution. */\n  public nextValue(): number {\n    let x2: number, v0: number, v1: number, x: number, u: number, v: number;\n    while (true) {\n      do {\n        x = this.randn.nextValue();\n        v = 1 + (this.c * x);\n      } while (v <= 0);\n      v *= v * v;\n      x2 = x * x;\n      v0 = 1 - (0.331 * x2 * x2);\n      v1 = (0.5 * x2) + (this.d * (1 - v + Math.log(v)));\n      u = this.randu();\n      if (u < v0 || Math.log(u) < v1) {\n        break;\n      }\n    }\n    v = (1 / this.beta) * this.d * v;\n    if (this.alpha < 1) {\n      v *= Math.pow(this.randu(), 1 / this.alpha);\n    }\n    return this.convertValue(v);\n  }\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n}\n\nexport class UniformRandom implements RandomBase {\n  private min: number;\n  private range: number;\n  private random: seedrandom.prng;\n  private dtype?: keyof RandNormalDataTypes;\n\n  constructor(\n      min = 0, max = 1, dtype?: keyof RandNormalDataTypes,\n      seed?: string|number) {\n    this.min = min;\n    this.range = max - min;\n    this.dtype = dtype;\n    if (seed == null) {\n      seed = Math.random();\n    }\n    if (typeof seed === 'number') {\n      seed = seed.toString();\n    }\n\n    if (!this.canReturnFloat() && this.range <= 1) {\n      throw new Error(\n          `The difference between ${min} - ${max} <= 1 and dtype is not float`);\n    }\n    this.random = seedrandom.alea(seed);\n  }\n\n  /** Handles proper rounding for non floating point numbers. */\n  private canReturnFloat = () =>\n      (this.dtype == null || this.dtype === 'float32');\n\n  private convertValue(value: number): number {\n    if (this.canReturnFloat()) {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  nextValue() {\n    return this.convertValue(this.min + this.range * this.random());\n  }\n}\n\nexport function jarqueBeraNormalityTest(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Jarque%E2%80%93Bera_test\n  const n = values.length;\n  const s = skewness(values);\n  const k = kurtosis(values);\n  const jb = n / 6 * (Math.pow(s, 2) + 0.25 * Math.pow(k - 3, 2));\n  // JB test requires 2-degress of freedom from Chi-Square @ 0.95:\n  // http://www.itl.nist.gov/div898/handbook/eda/section3/eda3674.htm\n  const CHI_SQUARE_2DEG = 5.991;\n  if (jb > CHI_SQUARE_2DEG) {\n    throw new Error(`Invalid p-value for JB: ${jb}`);\n  }\n}\n\nexport function expectArrayInMeanStdRange(\n    actual: TypedArray|number[], expectedMean: number, expectedStdDev: number,\n    epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  const actualMean = mean(actual);\n  expectNumbersClose(actualMean, expectedMean, epsilon);\n  expectNumbersClose(\n      standardDeviation(actual, actualMean), expectedStdDev, epsilon);\n}\n\nfunction mean(values: TypedArray|number[]) {\n  let sum = 0;\n  for (let i = 0; i < values.length; i++) {\n    sum += values[i];\n  }\n  return sum / values.length;\n}\n\nfunction standardDeviation(values: TypedArray|number[], mean: number) {\n  let squareDiffSum = 0;\n  for (let i = 0; i < values.length; i++) {\n    const diff = values[i] - mean;\n    squareDiffSum += diff * diff;\n  }\n  return Math.sqrt(squareDiffSum / values.length);\n}\n\nfunction kurtosis(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Kurtosis\n  const valuesMean = mean(values);\n  const n = values.length;\n  let sum2 = 0;\n  let sum4 = 0;\n  for (let i = 0; i < n; i++) {\n    const v = values[i] - valuesMean;\n    sum2 += Math.pow(v, 2);\n    sum4 += Math.pow(v, 4);\n  }\n  return (1 / n) * sum4 / Math.pow((1 / n) * sum2, 2);\n}\n\nfunction skewness(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Skewness\n  const valuesMean = mean(values);\n  const n = values.length;\n  let sum2 = 0;\n  let sum3 = 0;\n  for (let i = 0; i < n; i++) {\n    const v = values[i] - valuesMean;\n    sum2 += Math.pow(v, 2);\n    sum3 += Math.pow(v, 3);\n  }\n  return (1 / n) * sum3 / Math.pow((1 / (n - 1)) * sum2, 3 / 2);\n}\n\nexport interface RandomBase {\n  nextValue(): number;\n}\n\nexport interface RandomGamma {\n  nextValue(): number;\n}\n\nexport interface RandNormalDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\nexport interface RandGammaDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {RandGamma} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a gamma distribution.\n *\n * ```js\n * tf.randomGamma([2, 2], 1).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param alpha The shape parameter of the gamma distribution.\n * @param beta The inverse scale parameter of the gamma distribution. Defaults\n *     to 1.\n * @param dtype The data type of the output. Defaults to float32.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomGamma_<R extends Rank>(\n    shape: ShapeMap[R], alpha: number, beta = 1,\n    dtype: 'float32'|'int32' = 'float32', seed?: number): Tensor<R> {\n  if (beta == null) {\n    beta = 1;\n  }\n  if (dtype == null) {\n    dtype = 'float32';\n  }\n  if (dtype !== 'float32' && dtype !== 'int32') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const rgamma = new RandGamma(alpha, beta, dtype, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = rgamma.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomGamma = op({randomGamma_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {MPRandGauss} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a normal distribution.\n *\n * ```js\n * tf.randomNormal([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, false /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomNormal = op({randomNormal_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {UniformRandom} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a uniform distribution.\n *\n * The generated values follow a uniform distribution in the range [minval,\n * maxval). The lower bound minval is included in the range, while the upper\n * bound maxval is excluded.\n *\n * ```js\n * tf.randomUniform([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param minval The lower bound on the range of random values to generate.\n *   Defaults to 0.\n * @param maxval The upper bound on the range of random values to generate.\n *   Defaults to 1.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomUniform_<R extends Rank>(\n    shape: ShapeMap[R], minval = 0, maxval = 1, dtype: DataType = 'float32',\n    seed?: number|string): Tensor<R> {\n  const res = buffer(shape, dtype);\n  const random = new UniformRandom(minval, maxval, null, seed);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = random.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomUniform = op({randomUniform_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Computes square of `x` element-wise: `x ^ 2`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.sqrt(2), -1]);\n *\n * x.square().print();  // or tf.square(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction square_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'square');\n  const attrs = {};\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [];\n  return ENGINE.runKernelFunc((backend, save) => {\n    save([$x]);\n    return backend.square($x);\n  }, {x: $x}, null /* grad */, 'Square', attrs, inputsToSave, outputsToSave);\n}\n\nexport const square = op({square_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {SquaredDifference, SquaredDifferenceInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.squaredDifferenceStrict` which has the same signature as\n * this op and asserts that `a` and `b` are the same shape (does not\n * broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * ```js\n * // Broadcast squared difference  a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction squaredDifference_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'squaredDifference');\n  let $b = convertToTensor(b, 'b', 'squaredDifference');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const two = scalar(2);\n    const derA = () => dy.mul($a.sub($b).mul(two));\n    const derB = () => dy.mul($b.sub($a).mul(two));\n    return {a: derA, b: derB};\n  };\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.squaredDifference($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: SquaredDifferenceInputs = {a: $a, b: $b};\n  const attrs = {};\n\n  const inputsToSave = [$a, $b];\n  const outputToSave: boolean[] = [];\n  return ENGINE.runKernelFunc(\n             forward, inputs as unknown as NamedTensorMap, der,\n             SquaredDifference, attrs, inputsToSave, outputToSave) as T;\n}\n\nexport const squaredDifference = op({squaredDifference_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {MPRandGauss} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a truncated normal\n * distribution.\n *\n * ```js\n * tf.truncatedNormal([2, 2]).print();\n * ```\n *\n * The generated values follow a normal distribution with specified mean and\n * standard deviation, except that values whose magnitude is more than 2\n * standard deviations from the mean are dropped and re-picked.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output tensor.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction truncatedNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type $ { dtype }`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, true /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const truncatedNormal = op({truncatedNormal_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of (a != b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.notEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([0, 2, 3]);\n *\n * a.notEqual(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction notEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'notEqual');\n  let $b = convertToTensor(b, 'b', 'notEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  return ENGINE.runKernelFunc(\n             backend => backend.notEqual($a, $b), {a: $a, b: $b},\n             null /* grad */, 'NotEqual') as T;\n}\n\n/**\n * Strict version of `tf.notEqual` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction notEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'notEqualStrict');\n  const $b = convertToTensor(b, 'b', 'notEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in notEqualStrict: ');\n  return $a.notEqual($b);\n}\n\n/**\n * Returns the truth value of (a < b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.less(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction less_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'less');\n  let $b = convertToTensor(b, 'b', 'less');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.less($a, $b), {a: $a, b: $b}, null /* grad */,\n             'Less') as T;\n}\n\n/**\n * Strict version of `tf.less` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction lessStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessStrict');\n  const $b = convertToTensor(b, 'b', 'lessStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessStrict: ');\n  return $a.less($b);\n}\n\n/**\n * Returns the truth value of (a == b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.equalStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.equal(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction equal_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'equal');\n  let $b = convertToTensor(b, 'b', 'equal');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.equal($a, $b), {$a, $b}) as T;\n}\n\nfunction equalStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'equalStrict');\n  const $b = convertToTensor(b, 'b', 'equalStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in equalStrict: ');\n  return $a.equal($b);\n}\n\n/**\n * Returns the truth value of (a <= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.lessEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction lessEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'lessEqual');\n  let $b = convertToTensor(b, 'b', 'lessEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.lessEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, null /* grad */, 'LessEqual') as T;\n}\n\nfunction lessEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessEqualStrict');\n  const $b = convertToTensor(b, 'b', 'lessEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessEqualStrict: ');\n  return $a.lessEqual($b);\n}\n\n/**\n * Returns the truth value of (a > b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greater(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greater_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greater');\n  let $b = convertToTensor(b, 'b', 'greater');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.greater($a, $b), {a: $a, b: $b},\n             null /* grad */, 'Greater') as T;\n}\n\nfunction greaterStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterStrict');\n  const $b = convertToTensor(b, 'b', 'greaterStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterStrict: ');\n  return $a.greater($b);\n}\n\n/**\n * Returns the truth value of (a >= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterEqualStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greaterEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greaterEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greaterEqual');\n  let $b = convertToTensor(b, 'b', 'greaterEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    return {a: () => zerosLike($a), b: () => zerosLike($b)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.greaterEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, grad, 'GreaterEqual') as T;\n}\n\nfunction greaterEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterEqualStrict');\n  const $b = convertToTensor(b, 'b', 'greaterEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterEqualStrict: ');\n  return $a.greaterEqual($b);\n}\n\nexport const equal = op({equal_});\nexport const equalStrict = op({equalStrict_});\nexport const greater = op({greater_});\nexport const greaterEqual = op({greaterEqual_});\nexport const greaterEqualStrict = op({greaterEqualStrict_});\nexport const greaterStrict = op({greaterStrict_});\nexport const less = op({less_});\nexport const lessEqual = op({lessEqual_});\nexport const lessEqualStrict = op({lessEqualStrict_});\nexport const lessStrict = op({lessStrict_});\nexport const notEqual = op({notEqual_});\nexport const notEqualStrict = op({notEqualStrict_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, isInt, parseAxisParam} from '../util';\nimport {expandDims} from './array_ops';\nimport {getUndoAxesPermutation} from './axis_util';\nimport {maximum} from './binary_ops';\nimport {greaterEqual} from './compare';\nimport {logicalAnd, where} from './logical_ops';\nimport {op} from './operation';\nimport {collectGatherOpShapeInfo} from './segment_util';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the sum along segments of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const segmentIds = tf.tensor1d([1, 2, 0, 1], 'int32');\n * const numSegments = 3;\n *\n * x.unsortedSegmentSum(segmentIds, numSegments).print()\n * //or tf.unsortedSegmentSum(x, segmentIds, numSegments)\n * ```\n * @param x The `tf.Tensor` that will be summed along its segments.\n * @param segmentIds A `tf.Tensor1D` whose rank is equal to the rank of `x`'s\n * dimension along the `axis`.  Maps each element of `x` to a segment.\n * @param numSegments The number of distinct `segmentIds`.\n */\n/** @doc {heading: 'Operations', subheading: 'Segment'} */\nfunction unsortedSegmentSum_<T extends Tensor>(\n    x: T|TensorLike, segmentIds: Tensor1D|TensorLike, numSegments: number): T {\n  const $x = convertToTensor(x, 'x', 'unsortedSegmentSum');\n  const $segmentIds =\n      convertToTensor(segmentIds, 'segmentIds', 'unsortedSegmentSum', 'int32');\n  assert(isInt(numSegments), () => 'numSegments must be of dtype int');\n\n  const gradFunc = (dy: T, saved: Tensor[]) => {\n    const [$segmentIds] = saved;\n    const derX = () => {\n      return gatherDropNegatives(dy, $segmentIds as Tensor1D);\n    };\n    return {$x: derX};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.unsortedSegmentSum($x, $segmentIds, numSegments);\n    save([$segmentIds]);\n    return res;\n  }, {$x}, gradFunc) as T;\n}\n\n/**\n * Gather slices from tensor `x`'s axis `axis` according to `indices`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const indices = tf.tensor1d([1, 3, 3], 'int32');\n *\n * x.gather(indices).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const indices = tf.tensor1d([1, 1, 0], 'int32');\n *\n * x.gather(indices).print();\n * ```\n * @param x The input tensor whose slices to be gathered.\n * @param indices The indices of the values to extract.\n * @param axis The axis over which to select values. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction gather_<T extends Tensor>(\n    x: T|TensorLike, indices: Tensor|TensorLike, axis = 0): T {\n  const $x = convertToTensor(x, 'x', 'gather');\n  const $indices = convertToTensor(indices, 'indices', 'gather', 'int32');\n  axis = parseAxisParam(axis, $x.shape)[0];\n  const shapeInfo = collectGatherOpShapeInfo($x, $indices, axis);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$indices] = saved;\n    const derX = () => {\n      const paramsShape = $x.shape;\n      const indicesSize = $indices.size;\n\n      const outerShape = paramsShape.slice(0, axis);\n      const outerDims = outerShape.length;\n      const innerShape = paramsShape.slice(axis, paramsShape.length).slice(1);\n      const innerDims = innerShape.length;\n\n      const outerAxesIndices = arrayRange(0, outerDims);\n      const innerAxesIndices =\n          arrayRange(outerDims + 1, outerDims + 1 + innerDims);\n\n      const valuesShape = arrayConcat([outerShape, [indicesSize], innerShape]);\n\n      const values = dy.reshape(valuesShape);\n      const reshapedIndices = $indices.reshape([indicesSize]);\n\n      const transposeDims =\n          arrayConcat([[outerDims], outerAxesIndices, innerAxesIndices]);\n      const valuesTranspose = values.transpose(transposeDims);\n      let paramsGrad = unsortedSegmentSum(\n          valuesTranspose, reshapedIndices as Tensor1D, $x.shape[axis]);\n\n      const invertTransposeDims = getUndoAxesPermutation(transposeDims);\n      paramsGrad = paramsGrad.transpose(invertTransposeDims);\n\n      return paramsGrad as T;\n    };\n    return {x: derX, indices: () => $indices};\n  };\n  return (ENGINE.runKernelFunc(\n              (backend, save) => {\n                const res = backend.gather($x, $indices.flatten(), axis);\n                save([$indices]);\n                return res;\n              },\n              {x: $x, indices: $indices}, grad, 'Gather', {axis}))\n             .reshape(shapeInfo.outputShape) as T;\n}\n\nfunction arrayRange(start: number, stop: number): number[] {\n  const result = [];\n  for (let i = start; i < stop; ++i) {\n    result.push(i);\n  }\n  return result;\n}\n\nfunction arrayConcat(arrays: number[][]): number[] {\n  const result = [];\n  for (let i = 0; i < arrays.length; ++i) {\n    for (let j = 0; j < arrays[i].length; ++j) {\n      result.push(arrays[i][j]);\n    }\n  }\n  return result;\n}\n\nfunction gatherDropNegatives<T extends Tensor>(x: T, indices: Tensor1D) {\n  // Helper function for unsorted segment ops. Gathers params for\n  // positive segment ids and gathers 0 for inputs with negative segment id.\n  // Mirrors _GatherDropNegatives from tensorflow/python/ops/math_grad.py\n  const zeroClippedIndices = maximum(indices, zerosLike(indices));\n  const gathered = gather(x, zeroClippedIndices as Tensor1D);\n  let isPositive = greaterEqual(indices, scalar(0, 'int32'));\n  const numIters = gathered.rank - isPositive.rank;\n  for (let i = 0; i < numIters; ++i) {\n    isPositive = expandDims(isPositive, i + 1);\n  }\n  isPositive = logicalAnd(isPositive, ones(gathered.shape, 'bool'));\n  const zeroSlice = zerosLike(gathered);\n  return where(isPositive, gathered, zeroSlice);\n}\n\nexport const gather = op({gather_});\nexport const unsortedSegmentSum = op({unsortedSegmentSum_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {whereAsync} from './logical_ops';\nimport {gather} from './segment_ops';\n\n/**\n * Apply boolean mask to tensor.\n *\n * ```js\n * const tensor = tf.tensor2d([1, 2, 3, 4, 5, 6], [3, 2]);\n * const mask = tf.tensor1d([1, 0, 1], 'bool');\n * const result = await tf.booleanMaskAsync(tensor, mask);\n * result.print();\n * ```\n *\n * @param tensor N-D tensor.\n * @param mask K-D boolean tensor, K <= N and K must be known statically.\n * @param axis A 0-D int Tensor representing the axis in tensor to mask from.\n *     By default, axis is 0 which will mask from the first dimension.\n *     Otherwise K + axis <= N.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nasync function booleanMaskAsync_(\n    tensor: Tensor|TensorLike, mask: Tensor|TensorLike,\n    axis?: number): Promise<Tensor> {\n  const $tensor = convertToTensor(tensor, 'tensor', 'boolMask');\n  const $mask = convertToTensor(mask, 'mask', 'boolMask', 'bool');\n\n  const axisFrom = axis == null ? 0 : axis;\n  const maskDim = $mask.rank;\n  const tensorShape = $tensor.shape;\n\n  util.assert(maskDim > 0, () => 'mask cannot be scalar');\n  util.assertShapesMatch(\n      tensorShape.slice(axisFrom, axisFrom + maskDim), $mask.shape,\n      `mask's shape must match the first K dimensions of tensor's shape,`);\n\n  let leadingSize = 1;\n  for (let i = axisFrom; i < axisFrom + maskDim; i++) {\n    leadingSize *= tensorShape[i];\n  }\n  const targetTensorShape =\n      tensorShape.slice(0, axisFrom)\n          .concat([leadingSize], tensorShape.slice(axisFrom + maskDim));\n  const reshapedTensor = $tensor.reshape(targetTensorShape);\n  const reshapedMask = $mask.reshape([-1]);\n  const positivePositions = await whereAsync(reshapedMask);\n  const indices = positivePositions.squeeze([1]);\n\n  const res = gather(reshapedTensor, indices, axisFrom);\n\n  // Ensure no memory leak.\n  if (tensor !== $tensor) {\n    $tensor.dispose();\n  }\n  if (mask !== $mask) {\n    $mask.dispose();\n  }\n  indices.dispose();\n  reshapedTensor.dispose();\n  reshapedMask.dispose();\n  positivePositions.dispose();\n\n  return res;\n}\n\nexport const booleanMaskAsync = booleanMaskAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes a 1D convolution over the input x.\n *\n * @param x The input tensor, of rank 3 or rank 2, of shape\n *     `[batch, width, inChannels]`. If rank 2, batch of 1 is assumed.\n * @param filter The filter, rank 3, of shape\n *     `[filterWidth, inDepth, outDepth]`.\n * @param stride The number of entries by which the filter is moved right at\n *     each step.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from \"NWC\", \"NCW\". Defaults to \"NWC\",\n *     the data is stored in the order of [batch, in_width, in_channels]. Only\n *     \"NWC\" is currently supported.\n * @param dilation The dilation rate in which we sample input values in\n *     atrous convolution. Defaults to `1`. If it is greater than 1, then\n *     stride must be `1`.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv1d_<T extends Tensor2D|Tensor3D>(\n    x: T|TensorLike, filter: Tensor3D|TensorLike, stride: number,\n    pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv1d');\n  const $filter = convertToTensor(filter, 'filter', 'conv1d');\n\n  let x3D = $x as Tensor3D;\n  let reshapedTo3D = false;\n  if ($x.rank === 2) {\n    reshapedTo3D = true;\n    x3D = $x.as3D(1, $x.shape[0], $x.shape[1]);\n  }\n\n  util.assert(\n      x3D.rank === 3,\n      () => `Error in conv1d: input must be rank 3, but got rank ${x3D.rank}.`);\n  util.assert(\n      $filter.rank === 3,\n      () => `Error in conv1d: filter must be rank 3, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv1d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x3D.shape[2] === $filter.shape[1],\n      () => `Error in conv1d: depth of input (${x3D.shape[2]}) must match ` +\n          `input depth for filter ${$filter.shape[1]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(stride, dilation),\n      () => 'Error in conv1D: Either stride or dilation must be 1. ' +\n          `Got stride ${stride} and dilation '${dilation}'`);\n  util.assert(\n      dataFormat === 'NWC',\n      () => `Error in conv1d: got dataFormat of ${\n          dataFormat} but only NWC is currently supported.`);\n\n  const filter4D =\n      $filter.as4D(1, $filter.shape[0], $filter.shape[1], $filter.shape[2]);\n  const input4D = x3D.as4D(x3D.shape[0], 1, x3D.shape[1], x3D.shape[2]);\n  const strides: [number, number] = [1, stride];\n  const dilations: [number, number] = [1, dilation];\n\n  const conv2dDataFormat = 'NHWC';\n\n  const res = conv2d(\n      input4D, filter4D, strides, pad, conv2dDataFormat, dilations,\n      dimRoundingMode);\n\n  if (reshapedTo3D) {\n    return res.as2D(res.shape[2], res.shape[3]) as T;\n  }\n  return res.as3D(res.shape[0], res.shape[2], res.shape[3]) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2d: input must be rank 4, but got rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  util.assert(\n      inDepth === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${inDepth}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D] = saved as [Tensor4D, Tensor4D];\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of conv2D: dilation rates greater than 1 ' +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    return {\n      x: () => conv2dDerInput(x4D.shape, dy, $filter, strides, pad, dataFormat),\n      filter: () =>\n          conv2dDerFilter(x4D, dy, $filter.shape, strides, pad, dataFormat)\n    };\n  };\n\n  const inputsToSave = [$filter, x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2d(x4D, $filter, convInfo);\n    save([$filter, x4D]);\n\n    return res;\n  }, {x: x4D, filter: $filter}, grad, 'Conv2D', convInfo, inputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 2D convolution.\n *\n * @param xShape The shape of the input: [batch, height, width, inDepth].\n * If length of 3, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 4 or rank 3 of shape\n *   `[batch, outHeight, outWidth, outDepth]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction conv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, strides: [number, number]|number,\n    pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape4D = xShape as [number, number, number, number];\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n    xShape4D = [1, xShape[0], xShape[1], xShape[2]];\n  }\n\n  util.assert(\n      xShape4D.length === 4,\n      () =>\n          `Error in conv2dDerInput: inShape must be length 4, but got length ` +\n          `${xShape4D.length}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerInput: dy must be rank 4, but got ` +\n          `rank ${dy4D.rank}`);\n  util.assert(\n      filter.rank === 4,\n      () => `Error in conv2dDerInput: filter must be rank 4, but got ` +\n          `rank ${filter.rank}`);\n  const inDepth = dataFormat === 'NHWC' ? xShape4D[3] : xShape4D[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filter.shape[2],\n      () => `Error in conv2dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[2]}.`);\n  util.assert(\n      outDepth === filter.shape[3],\n      () => `Error in conv2dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[3]}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerInput: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n\n  const grad = (ddx: Tensor4D, saved: Tensor[]) => {\n    const [filter, dy4D] = saved;\n    return {\n      dy4D: () => conv2d(\n          ddx, filter as Tensor4D, strides, pad, dataFormat, dilations,\n          dimRoundingMode),\n      filter: () => conv2dDerFilter(\n          ddx, dy4D as Tensor4D, (filter as Tensor4D).shape, strides, pad,\n          dataFormat, dimRoundingMode)\n    };\n  };\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      xShape4D, filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2dDerInput(dy4D, filter, convInfo);\n    save([filter, dy4D]);\n    return res;\n  }, {dy4D, filter}, grad);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 2D convolution.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     [batch, height, width, inChannels]. If rank 3, batch of 1 is assumed.\n * @param dy The dy image, of rank 4 or rank 3, of shape\n *     [batch, height, width, outDepth]. If rank 3, batch of 1 is assumed.\n * @param filterShape The shape of the filter, length 4,\n *     [filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction conv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2dDerFilter: input must be rank 4, but got shape ` +\n          `${x4D.shape}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerFilter: dy must be rank 4, but got shape ` +\n          `${dy4D.shape}.`);\n  util.assert(\n      filterShape.length === 4,\n      () => `Error in conv2dDerFilter: filterShape must be length 4, but got ` +\n          `${filterShape}.`);\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filterShape[2],\n      () => `Error in conv2dDerFilter: depth of input ${inDepth}) must ` +\n          `match input depth in filter (${filterShape[2]}.`);\n  util.assert(\n      outDepth === filterShape[3],\n      () => `Error in conv2dDerFilter: depth of dy (${outDepth}) must ` +\n          `match output depth for filter (${filterShape[3]}).`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerFilter: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, filterShape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv2dDerFilter(x4D, dy4D, convInfo), {x4D, dy4D});\n}\n\n/**\n * Computes the transposed 2D convolution of an image, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 4 or rank 3, of shape\n *   `[batch, height, width, inDepth]`. If rank 3, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 4 or rank 3:\n *     `[batch, height, width, outDepth]`. If rank 3, batch of 1 is assumed.\n * @param strides The strides of the original convolution:\n *     `[strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n * @param dimRoundingMode The rounding mode used when computing output\n *    dimensions if pad is a number. If none is provided, it will not round\n *    and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2dTranspose_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    outputShape: [number, number, number, number]|[number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv2dTranspose');\n\n  return conv2dDerInput_(\n      outputShape, $x, $filter, strides, pad, 'NHWC', dimRoundingMode);\n}\n\n/**\n * Depthwise 2D convolution.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction depthwiseConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in depthwiseConv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in depthwiseConv2d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in depthwiseConv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [x4D, $filter] = saved;\n    return {\n      x: () => depthwiseConv2dDerInput(\n          (x4D as Tensor4D).shape, dy, $filter as Tensor4D, convInfo),\n      filter: () => depthwiseConv2dDerFilter(\n          x4D as Tensor4D, dy, ($filter as Tensor4D).shape, convInfo),\n    };\n  };\n\n  const inputsToSave = [x4D, $filter];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.depthwiseConv2D(x4D, $filter, convInfo);\n        save([x4D, $filter]);\n        return res;\n      },\n      {x: x4D, filter: $filter}, grad, 'DepthwiseConv2dNative', convInfo,\n      inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * 2-D convolution with separable filters.\n *\n * Performs a depthwise convolution that acts separately on channels followed\n * by a pointwise convolution that mixes channels. Note that this is\n * separability between dimensions [1, 2] and 3, not spatial separability\n * between dimensions 1 and 2.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param depthwiseFilter The depthwise filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`. This is\n *     the filter used in the first step.\n * @param pointwiseFilter The pointwise filter tensor, rank 4, of shape\n *     `[1, 1, inChannels * channelMultiplier, outChannels]`. This is\n *     the filter used in the second step.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction separableConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike,\n    pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n    pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n  const $x = convertToTensor(x, 'x', 'separableConv2d');\n  const $depthwiseFilter =\n      convertToTensor(depthwiseFilter, 'depthwiseFilter', 'separableConv2d');\n  const $pointwiseFilter =\n      convertToTensor(pointwiseFilter, 'pointwiseFilter', 'separableConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n\n  if (dataFormat === 'NCHW') {\n    throw new Error(\n        'separableConv2d currently does not support dataFormat NCHW; only ' +\n        'NHWC is supported');\n  }\n\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in separableConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $depthwiseFilter.rank === 4,\n      () => `Error in separableConv2d: depthwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.rank === 4,\n      () => `Error in separableConv2d: pointwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.shape[0] === 1,\n      () =>\n          `Error in separableConv2d: the first dimension of pointwise filter ` +\n          ` must be 1, but got ${$pointwiseFilter.shape[0]}.`);\n  util.assert(\n      $pointwiseFilter.shape[1] === 1,\n      () => `Error in separableConv2d: the second dimension of pointwise ` +\n          `filter must be 1, but got ${$pointwiseFilter.shape[1]}.`);\n\n  const inChannels = $depthwiseFilter.shape[2];\n  const channelMultiplier = $depthwiseFilter.shape[3];\n  util.assert(\n      $pointwiseFilter.shape[2] === inChannels * channelMultiplier,\n      () =>\n          `Error in separableConv2d: the third dimension of pointwise filter ` +\n          `must be ${inChannels * channelMultiplier}, ` +\n          `but got ${$pointwiseFilter.shape[2]}.`);\n\n  const depthwise = depthwiseConv2d(\n      x4D, $depthwiseFilter, strides, pad, dataFormat, dilation);\n  const pointwiseStride = 1;\n  const res =\n      conv2d(depthwise, $pointwiseFilter, pointwiseStride, 'valid', dataFormat);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction parseTupleParam(\n    param: number|[number, number]|[number, number, number]):\n    [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param;\n}\n\nfunction tupleValuesAreOne(\n    param: number|[number, number]|[number, number, number]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nfunction eitherStridesOrDilationsAreOne(\n    strides: number|[number, number]|[number, number, number],\n    dilations: number|[number, number]|[number, number, number]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\nfunction depthwiseConv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, convInfo: conv_util.Conv2DInfo): T {\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerInput(dy4D, filter, convInfo),\n      {dy4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction depthwiseConv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    convInfo: conv_util.Conv2DInfo): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerFilter(x4D, dy4D, convInfo),\n      {x4D, dy4D});\n}\n\n/**\n * Computes a 3D convolution over the input x.\n *\n * @param x The input tensor, of rank 5 or rank 4, of shape\n *     `[batch, depth, height, width, channels]`. If rank 4,\n * batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inChannels, outChannels]`.\n *      inChannels must match between input and filter.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationDepth, dilationHeight,\n *     dilationWidth]` in which we sample input values across the height\n *     and width dimensions in atrous convolution. Defaults to `[1, 1, 1]`.\n *     If `dilations` is a single number, then\n *     `dilationDepth == dilationHeight == dilationWidth`. If it is greater\n *     than 1, then all values of `strides` must be 1.\n */\n\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    strides: [number, number, number]|number, pad: 'valid'|'same',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations: [number, number, number]|number = [1, 1, 1]): T {\n  const $x = convertToTensor(x, 'x', 'conv3d');\n  const $filter = convertToTensor(filter, 'filter', 'conv3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3d: input must be rank 5, but got rank ${x5D.rank}.`);\n  util.assert(\n      $filter.rank === 5,\n      () => `Error in conv3d: filter must be rank 5, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x5D.shape[4] === $filter.shape[3],\n      () => `Error in conv3d: depth of input (${x5D.shape[4]}) must match ` +\n          `input depth for filter ${$filter.shape[3]}.`);\n  util.assert(\n      eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv3D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in conv3d: got dataFormat of ${\n          dataFormat} but only NDHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, $filter.shape, strides, dilations, pad);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    util.assert(\n        tupleValuesAreOne(dilations),\n        () =>\n            'Error in gradient of conv3D: dilation rates greater than 1 are ' +\n            `not yet supported in gradients. Got dilations '${dilations}'`);\n    const [x5D, $filter] = saved;\n    return {\n      x: () => conv3dDerInput_(\n          (x5D as Tensor5D).shape, dy, $filter as Tensor5D, strides, pad),\n      $filter: () => conv3dDerFilter_(\n          x5D as Tensor5D, dy, ($filter as Tensor5D).shape, strides, pad)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv3d(x5D, $filter, convInfo);\n    save([x5D, $filter]);\n    return res;\n  }, {x: x5D, $filter}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 3D convolution.\n *\n * @param xShape The shape of the input: [batch, depth, height, width,\n * in_channels]. If length of 4, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 5 or rank 4 of shape\n *   `[batch, outDepth, outHeight, outWidth, in_channels]`.\n * If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n */\nfunction conv3dDerInput_<T extends Tensor4D|Tensor5D>(\n    xShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    dy: T, filter: Tensor5D, strides: [number, number, number]|number,\n    pad: 'valid'|'same'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape5D = xShape as [number, number, number, number, number];\n  let dy5D = dy as Tensor5D;\n  let reshapedTo5D = false;\n  if (dy.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n    xShape5D = [1, xShape[0], xShape[1], xShape[2], xShape[3]];\n  }\n\n  const inDepth = xShape5D[4];\n  const outDepth = dy5D.shape[4];\n  util.assert(\n      xShape5D.length === 5,\n      () =>\n          `Error in conv3dDerInput: inShape must be length 5, but got length ` +\n          `${xShape5D.length}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerInput: dy must be rank 5, but got ` +\n          `rank ${dy5D.rank}`);\n  util.assert(\n      filter.rank === 5,\n      () => `Error in conv3dDerInput: filter must be rank 5, but got ` +\n          `rank ${filter.rank}`);\n  util.assert(\n      inDepth === filter.shape[3],\n      () => `Error in conv3dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[3]}.`);\n  util.assert(\n      outDepth === filter.shape[4],\n      () => `Error in conv3dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[4]}.`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      xShape5D, filter.shape, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.conv3dDerInput(dy5D, filter, convInfo), {dy5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 3D convolution.\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     [batch, depth, height, width, inChannels]. If rank 4, batch of 1 is\n *     assumed.\n * @param dy The dy image, of rank 5 or rank 4, of shape\n *     [batch, depth, height, width, outDepth]. If rank 4, batch of 1 is\n *     assumed.\n * @param filterShape The shape of the filter, length 5,\n *     [filterDepth, filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideDepth, strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction conv3dDerFilter_<T extends Tensor4D|Tensor5D>(\n    x: T, dy: T, filterShape: [number, number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): Tensor5D {\n  let x5D = x as Tensor5D;\n  if (x.rank === 4) {\n    x5D = x.as5D(1, x.shape[0], x.shape[1], x.shape[2], x.shape[3]);\n  }\n  let dy5D = dy as Tensor5D;\n  if (dy5D.rank === 4) {\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3dDerFilter: input must be rank 5, but got shape ` +\n          `${x5D.shape}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerFilter: dy must be rank 5, but got shape ` +\n          `${dy5D.shape}.`);\n  util.assert(\n      filterShape.length === 5,\n      () => `Error in conv3dDerFilter: filterShape must be length 5, but got ` +\n          `${filterShape}.`);\n  util.assert(\n      x5D.shape[4] === filterShape[3],\n      () => `Error in conv3dDerFilter: depth of input ${x5D.shape[4]}) must ` +\n          `match input depth in filter (${filterShape[3]}.`);\n  util.assert(\n      dy5D.shape[4] === filterShape[4],\n      () => `Error in conv3dDerFilter: depth of dy (${dy5D.shape[4]}) must ` +\n          `match output depth for filter (${filterShape[4]}).`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, filterShape, strides, dilations, pad);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv3dDerFilter(x5D, dy5D, convInfo), {x5D, dy5D});\n}\n\n/**\n * Computes the transposed 3D convolution of a volume, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 5 or rank 4, of shape\n *   `[batch, depth, height, width, inDepth]`. If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[depth, filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 5 or rank 4:\n *     `[batch, depth, height, width, outDepth]`. If rank 3, batch of 1 is\n *    assumed.\n * @param strides The strides of the original convolution:\n *     `[strideDepth, strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3dTranspose_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    outputShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): T {\n  const $x = convertToTensor(x, 'x', 'conv3dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv3dTranspose');\n\n  return conv3dDerInput_(outputShape, $x, $filter, strides, pad);\n}\n\nexport const conv1d = op({conv1d_});\nexport const conv2d = op({conv2d_});\nexport const conv3d = op({conv3d_});\nexport const conv2dDerFilter = op({conv2dDerFilter_});\nexport const conv2dDerInput = op({conv2dDerInput_});\nexport const depthwiseConv2d = op({depthwiseConv2d_});\nexport const depthwiseConv2dDerInput = op({depthwiseConv2dDerInput_});\nexport const depthwiseConv2dDerFilter = op({depthwiseConv2dDerFilter_});\nexport const separableConv2d = op({separableConv2d_});\nexport const conv2dTranspose = op({conv2dTranspose_});\nexport const conv3dTranspose = op({conv3dTranspose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Computes the dot product of two matrices, A * B. These must be matrices.\n *\n * ```js\n * const a = tf.tensor2d([1, 2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.matMul(b).print();  // or tf.matMul(a, b)\n * ```\n * @param a First matrix in dot product operation.\n * @param b Second matrix in dot product operation.\n * @param transposeA If true, `a` is transposed before multiplication.\n * @param transposeB If true, `b` is transposed before multiplication.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction matMul_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike, transposeA = false,\n    transposeB = false): T {\n  let $a = convertToTensor(a, 'a', 'matMul');\n  let $b = convertToTensor(b, 'b', 'matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () => `Error in matMul: inputs must have the same rank of at least 2, ` +\n          `got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D] = saved as Tensor3D[];\n    if (!transposeA && !transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, true),\n        b: () => a3D.matMul(dy, true, false)\n      };\n    } else if (!transposeA && transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, false),\n        b: () => dy.matMul(a3D, true, false)\n      };\n    } else if (transposeA && !transposeB) {\n      return {\n        a: () => b3D.matMul(dy, false, true),\n        b: () => a3D.matMul(dy, false, false)\n      };\n    } else {\n      return {\n        a: () => b3D.matMul(dy, true, true),\n        b: () => dy.matMul(a3D, true, true)\n      };\n    }\n  };\n\n  const attrs = {transposeA, transposeB};\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.batchMatMul(a3D, b3D, transposeA, transposeB);\n    save([a3D, b3D]);\n    return res;\n  }, {a: a3D, b: b3D}, grad, 'BatchMatMul', attrs);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes the outer product of two vectors, `v1` and `v2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([3, 4, 5]);\n *\n * tf.outerProduct(a, b).print();\n * ```\n * @param v1 The first vector in the outer product operation.\n * @param v2 The second vector in the outer product operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction outerProduct_(\n    v1: Tensor1D|TensorLike, v2: Tensor1D|TensorLike): Tensor2D {\n  const $v1 = convertToTensor(v1, 'v1', 'outerProduct');\n  const $v2 = convertToTensor(v2, 'v2', 'outerProduct');\n\n  util.assert(\n      $v1.rank === 1 && $v2.rank === 1,\n      () => `Error in outerProduct: inputs must be rank 1, but got ranks ` +\n          `${$v1.rank} and ${$v2.rank}.`);\n\n  return $v1.as2D(-1, 1).matMul($v2.as2D(1, -1));\n}\n\n/**\n * Computes the dot product of two matrices and/or vectors, `t1` and `t2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor2d([[1, 2], [3, 4]]);\n * const c = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n *\n * a.dot(b).print();  // or tf.dot(a, b)\n * b.dot(a).print();\n * b.dot(c).print();\n * ```\n * @param t1 The first tensor in the dot operation.\n * @param t2 The second tensor in the dot operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction dot_(t1: Tensor|TensorLike, t2: Tensor|TensorLike): Tensor {\n  const $t1 = convertToTensor(t1, 't1', 'dot');\n  const $t2 = convertToTensor(t2, 't2', 'dot');\n  util.assert(\n      ($t1.rank === 1 || $t1.rank === 2) && ($t2.rank === 1 || $t2.rank === 2),\n      () => `Error in dot: inputs must all be rank 1 or 2, but got ranks ` +\n          `${$t1.rank} and ${$t2.rank}.`);\n\n  const t1Inner = ($t1.rank === 1 ? $t1.size : $t1.shape[1]);\n  const t2Inner = ($t2.rank === 1 ? $t2.size : $t2.shape[0]);\n\n  util.assert(\n      t1Inner === t2Inner,\n      () => `Error in dot: inner dimensions of inputs must match, but got ` +\n          `${t1Inner} and ${t2Inner}.`);\n\n  if ($t1.rank === 1 && $t2.rank === 1) {\n    return $t1.as2D(1, -1).matMul($t2.as2D(-1, 1)).asScalar();\n  } else if ($t1.rank === 1 && $t2.rank === 2) {\n    return $t1.as2D(1, -1).matMul($t2.as2D($t2.shape[0], $t2.shape[1])).as1D();\n  } else if ($t1.rank === 2 && $t2.rank === 1) {\n    return $t1.matMul($t2.as2D(-1, 1)).as1D();\n  } else {\n    return $t1.matMul($t2.as2D($t2.shape[0], $t2.shape[1]));\n  }\n}\n\nexport const matMul = op({matMul_});\nexport const dot = op({dot_});\nexport const outerProduct = op({outerProduct_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Reverses a `tf.Tensor1D`.\n *\n * @param x The input tensor.\n */\nfunction reverse1d_(x: Tensor1D|TensorLike): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 1,\n      () => `Error in reverse1D: x must be rank 1 but got rank ${$x.rank}.`);\n  return reverse($x, 0);\n}\n\n/**\n * Reverses a `tf.Tensor2D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse2d_(x: Tensor2D|TensorLike, axis?: number|number[]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 2,\n      () => `Error in reverse2D: x must be rank 2 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor3D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse3d_(x: Tensor3D|TensorLike, axis?: number|number[]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 3,\n      () => `Error in reverse3D: x must be rank 3 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor4D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse4d_(x: Tensor4D|TensorLike, axis?: number|number[]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 4,\n      () => `Error in reverse4D: x must be rank 4 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor` along a specified axis.\n *\n * Also available are stricter rank-specific methods that assert that `x` is\n * of the given rank:\n *   - `tf.reverse1d`\n *   - `tf.reverse2d`\n *   - `tf.reverse3d`\n *   - `tf.reverse4d`\n *\n * Except `tf.reverse1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.reverse().print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.reverse(axis).print();\n * ```\n * @param x The input tensor to be reversed.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction reverse_<T extends Tensor>(\n    x: T|TensorLike, axis?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'reverse');\n\n  if ($x.rank === 0) {\n    return $x.clone();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const grad = (dy: T) => {\n    return {$x: () => dy.reverse(axes)};\n  };\n  const res =\n      ENGINE.runKernelFunc(backend => backend.reverse($x, axes), {$x}, grad);\n  return res.reshapeAs($x);\n}\n\nexport const reverse = op({reverse_});\nexport const reverse1d = op({reverse1d_});\nexport const reverse2d = op({reverse2d_});\nexport const reverse3d = op({reverse3d_});\nexport const reverse4d = op({reverse4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchToSpaceND, spaceToBatchND} from './array_ops';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction maxPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'maxPool');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in maxPool: input must be rank 4 but got rank ${x4D.rank}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x: () => maxPoolBackprop(\n          dy, x4D as Tensor4D, y as Tensor4D, filterSize, strides, dilations,\n          pad)\n    };\n  };\n\n  const inputsToSave = [x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool(x4D, convInfo);\n    save([x4D, y]);\n    return y;\n  }, {x: x4D}, grad, 'MaxPool', convInfo, inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return maxPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction avgPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'avgPool', 'float32');\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in avgPool: x must be rank 4 but got rank ${x4D.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D) => {\n    return {\n      x: () => avgPoolBackprop(dy, x4D, filterSize, strides, dilations, pad)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool(x4D, convInfo), {x: x4D}, grad, 'AvgPool',\n      convInfo);\n  res = res.cast($x.dtype);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return avgPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Performs an N-D pooling operation\n *\n * @param input The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param windowShape The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param poolingType The type of pooling, either 'max' or 'avg'.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilationRate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction pool_<T extends Tensor3D|Tensor4D>(\n    input: T|TensorLike, windowShape: [number, number]|number,\n    poolingType: 'avg'|'max', pad: 'valid'|'same'|number,\n    dilations?: [number, number]|number, strides?: [number, number]|number) {\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  if (strides == null) {\n    strides = 1;\n  }\n  if (pad === 0) {\n    pad = 'valid';\n  }\n  const $x = convertToTensor(input, 'x', 'maxPool');\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in pool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, windowShape, strides, dilations, pad);\n  const dilation: [number, number] =\n      [convInfo.dilationHeight, convInfo.dilationWidth];\n\n  // The following implementation does batchToSpace(pool(spaceToBatch(x)))\n  // whenever dilation > 1 since the TF kernels do not support dilation > 1.\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L1037\n\n  let basePadding: number[][];\n  if (pad === 'same') {\n    basePadding = withSpaceToBatchBasePaddings(\n        [convInfo.filterHeight, convInfo.filterWidth], dilation);\n  } else {\n    basePadding = [[0, 0], [0, 0]];\n  }\n  const isDilationOne = dilation[0] === 1 && dilation[1] === 1;\n  const [adjustedPadding, adjustedCrops] = requiredSpaceToBatchPaddings(\n      [convInfo.inHeight, convInfo.inWidth], dilation, basePadding);\n  const convertedPad = isDilationOne ? pad : 'valid';\n  const convertedX =\n      isDilationOne ? x4D : spaceToBatchND(x4D, dilation, adjustedPadding);\n  const forwardOp = poolingType === 'avg' ?\n      () => avgPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad) :\n      () => maxPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad);\n  const y = forwardOp();\n  const res = isDilationOne ? y : batchToSpaceND(y, dilation, adjustedCrops);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 2D max pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The original input image, of rank 4, of shape\n *     [batchSize, height, width, channels].\n * @param output The original output image, of rank 4, of shape\n *     [batchSize, outHeight, outWidth, channels].\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPoolBackprop(\n    dy: Tensor4D|TensorLike, input: Tensor4D|TensorLike,\n    output: Tensor4D|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  const $dy = convertToTensor(dy, 'dy', 'maxPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPoolBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy ` +\n          `(${$dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in maxPoolBackProp: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  util.assert(\n      $dy.rank === 4,\n      () => `Error in maxPoolBackprop: dy must be rank 4 but got rank ` +\n          `${$dy.rank}.`);\n  util.assert(\n      $input.rank === 4,\n      () => `Error in maxPoolBackprop: input must be rank 4 but got rank ` +\n          `${$input.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPoolBackprop: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      $input.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPoolBackprop($dy, $input, $output, convInfo),\n      {$dy, $input});\n  return res;\n}\n\n/**\n * Computes the backprop of an 2D avg pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The input image, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction avgPoolBackprop<T extends Tensor3D|Tensor4D>(\n    dy: T|TensorLike, input: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy (${\n          $dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in avgPoolBackprop: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  let input4D = $input as Tensor4D;\n  let dy4D = $dy as Tensor4D;\n  let reshapedTo4D = false;\n  if ($input.rank === 3) {\n    reshapedTo4D = true;\n    input4D = $input.as4D(1, $input.shape[0], $input.shape[1], $input.shape[2]);\n    dy4D = $dy.as4D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2]);\n  }\n\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in avgPoolBackprop: dy must be rank 4 but got rank ` +\n          `${dy4D.rank}.`);\n  util.assert(\n      input4D.rank === 4,\n      () => `Error in avgPoolBackprop: input must be rank 4 but got rank ` +\n          `${input4D.rank}.`);\n\n  const convInfo = conv_util.computePool2DInfo(\n      input4D.shape, filterSize, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPoolBackprop(dy4D, input4D, convInfo),\n      {dy4D, input4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n// Helper function to compute crops and paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/array_ops.py#L2184\nfunction requiredSpaceToBatchPaddings(\n    inputShape: [number, number], blockShape: [number, number],\n    basePadding: number[][]) {\n  const padStart = basePadding.map(b => b[0]);\n  const origPadEnd = basePadding.map(b => b[1]);\n  const fullInputShape = inputShape.concat(padStart, origPadEnd);\n  const padEndExtra = blockShape.map((b, i) => (b - fullInputShape[i] % b) % b);\n  const padEnd = origPadEnd.map((s, i) => s + padEndExtra[i]);\n  const paddings = blockShape.map((_, i) => [padStart[i], padEnd[i]]);\n  const crops = blockShape.map((_, i) => [0, padEndExtra[i]]);\n  return [paddings, crops];\n}\n\n// Helper function to compute base paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L524\nfunction withSpaceToBatchBasePaddings(\n    filterShape: [number, number], dilation: [number, number]) {\n  // Spatial dimensions of the filters and the upsampled filters in which we\n  // introduce (rate - 1) zeros between consecutive filter values.\n  const dilatedFilterShape = filterShape.map((s, i) => {\n    return s + (s - 1) * (dilation[i] - 1);\n  });\n  const padExtraShape = dilatedFilterShape.map(s => s - 1);\n\n  // When padding is odd, we pad more at end, following the same\n  // convention as conv2d.\n  const padExtraStart = padExtraShape.map(s => Math.floor(s / 2));\n  const padExtraEnd = padExtraShape.map((s, i) => s - padExtraStart[i]);\n  return padExtraShape.map((_, i) => {\n    return [padExtraStart[i], padExtraEnd[i]];\n  });\n}\n\n/**\n * Computes the 3D average pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.avgPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number,\n    ): T {\n  const $x = convertToTensor(x, 'x', 'avgPool3d', 'float32');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in avgPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in avgPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D) => {\n    return {\n      x: () => avgPool3dBackprop(\n          dy, x5D, filterSize, strides, dilations, pad, dimRoundingMode)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3d(x5D, convInfo), {x: x5D}, grad);\n  res = res.cast(x5D.dtype);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d avg pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction avgPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in avgPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in avgPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3dBackprop(dy5D, input5D, convInfo),\n      {dy5D, input5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 3D max pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.maxPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number): T {\n  const $x = convertToTensor(x, 'x', 'maxPool3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in maxPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in maxPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    const [x5D, y] = saved;\n    return {\n      x: () => maxPool3dBackprop(\n          dy, x5D as Tensor5D, y as Tensor5D, filterSize, strides, dilations,\n          pad, dimRoundingMode)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool3d(x5D, convInfo);\n    save([x5D, y]);\n    return y;\n  }, {x: x5D}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d max pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank 4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param output The original output image, of rank 5 of shape\n *     [batchSize, outDepth, outHeight, outWidth, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike, output: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'maxPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPool3dBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let output5D = $output as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n    output5D = $output.as5D(\n        1, $output.shape[0], $output.shape[1], $output.shape[2],\n        $output.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in maxPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in maxPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  util.assert(\n      output5D.rank === 5,\n      () => `Error in maxPool3dBackprop: output must be rank 5 but got rank ` +\n          `${output5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPool3dBackprop(dy5D, input5D, output5D, convInfo),\n      {dy5D, input5D});\n\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image with Argmax index.\n * The indices in argmax are flattened, so that a maximum value at position `[b,\n * y, x, c]` becomes flattened index: `(y * width + x) * channels + c` if\n * include_batch_in_index is False; `((b * height + y) * width + x) * channels\n * +c` if include_batch_in_index is True.\n *\n * The indices returned are always in `[0, height) x [0, width)` before\n * flattening.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param includeBatchIndex Defaults to False. Whether to include batch\n *    dimension in flattened index of argmax.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPoolWithArgmax_<T extends Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number,\n    pad: 'valid'|'same'|number, includeBatchInIndex = false): NamedTensorMap {\n  const $x = convertToTensor(x, 'x', 'maxPoolWithArgmax');\n\n  const attrs = {filterSize, strides, pad, includeBatchInIndex};\n\n  const result =\n      ENGINE.runKernel('MaxPoolWithArgmax', {x: $x}, attrs) as Tensor[];\n\n  return {result: result[0], indexes: result[1]};\n}\n\nexport const maxPool = op({maxPool_});\nexport const avgPool = op({avgPool_});\nexport const pool = op({pool_});\nexport const maxPool3d = op({maxPool3d_});\nexport const avgPool3d = op({avgPool3d_});\nexport const maxPoolWithArgmax = op({maxPoolWithArgmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {pad} from './pad';\nimport * as slice_util from './slice_util';\n\n/**\n * Extracts a 1D slice from 1D array starting at coordinates `begin` and is\n * of length `size`. See `slice` for details.\n */\nfunction slice1d_(\n    x: Tensor1D|TensorLike, begin: number, size: number): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'slice1d');\n  util.assert(\n      $x.rank === 1,\n      () =>\n          `slice1d expects a rank-1 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, [begin], [size]);\n}\n\n/**\n * Extracts a 2D slice from a 2D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice2d_(\n    x: Tensor2D|TensorLike, begin: [number, number],\n    size: [number, number]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'slice2d');\n  util.assert(\n      $x.rank === 2,\n      () =>\n          `slice2d expects a rank-2 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 3D slice from a 3D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice3d_(\n    x: Tensor3D|TensorLike, begin: [number, number, number],\n    size: [number, number, number]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'slice3d');\n  util.assert(\n      $x.rank === 3,\n      () =>\n          `slice3d expects a rank-3 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 4D slice from a 4D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice4d_(\n    x: Tensor4D|TensorLike, begin: [number, number, number, number],\n    size: [number, number, number, number]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'slice4d');\n  util.assert(\n      $x.rank === 4,\n      () =>\n          `slice4d expects a rank-4 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a slice from a `tf.Tensor` starting at coordinates `begin`\n * and is of size `size`.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `x` is of the given rank:\n *   - `tf.slice1d`\n *   - `tf.slice2d`\n *   - `tf.slice3d`\n *   - `tf.slice4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.slice([1], [2]).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * x.slice([1, 0], [1, 2]).print();\n * ```\n * @param x The input `tf.Tensor` to slice from.\n * @param begin The coordinates to start the slice from. The length can be\n *     less than the rank of x - the rest of the axes will have implicit 0 as\n *     start. Can also be a single number, in which case it specifies the\n *     first axis.\n * @param size The size of the slice. The length can be less than the rank of\n *     x - the rest of the axes will have implicit -1. A value of -1 requests\n *     the rest of the dimensions in the axis. Can also be a single number,\n *     in which case it specifies the size of the first axis.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction slice_<R extends Rank, T extends Tensor<R>>(\n    x: T|TensorLike, begin: number|number[], size?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'slice');\n\n  if ($x.rank === 0) {\n    throw new Error('Slicing scalar is not possible');\n  }\n  // The following logic allows for more ergonomic calls.\n  let begin_: number[];\n  if (typeof begin === 'number') {\n    begin_ = [begin, ...new Array($x.rank - 1).fill(0)];\n  } else if (begin.length < $x.rank) {\n    begin_ = begin.concat(new Array($x.rank - begin.length).fill(0));\n  } else {\n    begin_ = begin.slice();\n  }\n  begin_.forEach(d => {\n    util.assert(\n        d !== -1, () => 'slice() does not support negative begin indexing.');\n  });\n  let size_: number[];\n  if (size == null) {\n    size_ = new Array($x.rank).fill(-1);\n  } else if (typeof size === 'number') {\n    size_ = [size, ...new Array($x.rank - 1).fill(-1)];\n  } else if (size.length < $x.rank) {\n    size_ = size.concat(new Array($x.rank - size.length).fill(-1));\n  } else {\n    size_ = size;\n  }\n  size_ = size_.map((d, i) => {\n    if (d >= 0) {\n      return d;\n    } else {\n      util.assert(\n          d === -1,\n          () => `Negative size values should be exactly -1 but got ` +\n              `${d} for the slice() size at index ${i}.`);\n      return $x.shape[i] - begin_[i];\n    }\n  });\n  slice_util.assertParamsValid($x, begin_, size_);\n  const inputShape = $x.shape;\n  const grad = (dy: T) => {\n    // Create an Nx2 padding where the first column represents how many\n    // zeros are prepended (at start) for each dimension, and the second\n    // column indicates how many zeros are appended (at end).\n\n    // The number of zeros to append is the shape of the input\n    // elementwise-subtracted by both the begin vector and sizes vector.\n    const paddings: Array<[number, number]> = [];\n    for (let i = 0; i < dy.rank; i++) {\n      paddings.push([begin_[i], inputShape[i] - begin_[i] - size_[i]]);\n    }\n    return {x: () => pad(dy, paddings)};\n  };\n  const attrs = {begin: begin_, size: size_};\n  return ENGINE.runKernelFunc(\n      backend => backend.slice($x, begin_, size_), {x: $x}, grad, 'Slice',\n      attrs);\n}\n\nexport const slice = op({slice_});\nexport const slice1d = op({slice1d_});\nexport const slice2d = op({slice2d_});\nexport const slice3d = op({slice3d_});\nexport const slice4d = op({slice4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the log(sum(exp(elements across the reduction dimensions)).\n *\n * Reduces the input along the dimensions given in `axis`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.logSumExp().print();  // or tf.logSumExp(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.logSumExp(axis).print();  // or tf.logSumExp(a, axis)\n * ```\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. If null (the default),\n *     reduces all dimensions.\n * @param keepDims If true, retains reduced dimensions with length\n *     of 1. Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction logSumExp_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'logSumExp');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const xMax = $x.max(axes, true /* keepDims */);\n  const a = $x.sub(xMax);\n  const b = a.exp();\n  const c = b.sum(axes);\n  const d = c.log();\n  const res = xMax.reshape(d.shape).add(d);\n\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, axes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the sum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If axes has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.sum().print();  // or tf.sum(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.sum(axis).print();  // or tf.sum(x, axis)\n * ```\n *\n * @param x The input tensor to compute the sum over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction sum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'sum');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since sum is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const permutation = axis_util.getAxesPermutation(axes, x.rank);\n    let reductionAxes = axes;\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = x.transpose(permutation);\n      reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, x.rank);\n    }\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32'));\n      return derX;\n    };\n\n    const gradInputs = (dy: Tensor) => {\n      return {x: () => gradFunc(dy)};\n    };\n\n    const attrs = {axes: reductionAxes};\n    let value = ENGINE.runKernelFunc(\n        backend => backend.sum(permutedX, reductionAxes), {x: permutedX},\n        gradInputs, 'Sum', attrs);\n\n    if (keepDims) {\n      const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n      value = value.reshape(newShape);\n    }\n\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Computes the product of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.prod().print();  // or tf.prod(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.prod(axis).print();  // or tf.prod(x, axis)\n * ```\n *\n * @param x The input tensor to compute the product over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction prod_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'prod');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  const permutation = axis_util.getAxesPermutation(axes, $x.rank);\n  let reductionAxes = axes;\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n    reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, $x.rank);\n  }\n  let value = ENGINE.runKernelFunc(\n      backend => backend.prod(permutedX, reductionAxes), {permutedX});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n    value = value.reshape(newShape);\n  }\n\n  return value as T;\n}\n/**\n * Computes the mean of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces `x` along the dimensions given in `axis`. Unless `keepDims` is\n * true, the rank of the `tf.Tensor` is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and a `tf.Tensor` with\n * a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.mean().print();  // or tf.mean(a)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.mean(axis).print();  // or tf.mean(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction mean_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'mean');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const shapes = axis_util.computeOutAndReduceShapes($x.shape, axes);\n  const reduceShape = shapes[1];\n  const reduceSize = util.sizeFromShape(reduceShape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since mean is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const reduceSizeScalar = scalar(reduceSize);\n    // Cast if needed.\n    const xReduce =\n        reduceSizeScalar.dtype === x.dtype ? x : x.cast(reduceSizeScalar.dtype);\n    const res = xReduce.div(reduceSizeScalar);\n    const value = res.sum(axis, keepDims);\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32')).div(reduceSize);\n      return derX;\n    };\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Gradient helper function for the min and max operations.\n */\nfunction gradForMinAndMax<T extends Tensor>(\n    dy: T, y: T, xOrig: Tensor, origAxes: number[], permutedAxes: number[]) {\n  if (y.rank < xOrig.rank) {\n    y = y.reshape(axis_util.expandShapeToKeepDim(y.shape, origAxes)) as T;\n  }\n  if (dy.rank < xOrig.rank) {\n    dy = dy.reshape(axis_util.expandShapeToKeepDim(dy.shape, origAxes)) as T;\n  }\n  return {\n    x: () => {\n      const dx = dy.mul(xOrig.equal(y).cast(dy.dtype));\n      return permutedAxes == null ? dx : dx.transpose(permutedAxes);\n    }\n  };\n}\n\n/**\n * Computes the minimum value from the input.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axes`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axes` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.min().print();  // or tf.min(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.min(axis).print();  // or tf.min(x, axis)\n * ```\n *\n * @param x The input Tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction min_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'min');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.min($x, axes);\n    save([xOrig, y]);\n    return y as T;\n  }, {x: $x}, grad, 'Min', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res;\n}\n\n/**\n * Computes the maximum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.max().print();  // or tf.max(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.max(axis).print();  // or tf.max(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction max_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'max');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.max($x, axes);\n    save([xOrig, y]);\n    return y;\n  }, {x: $x}, grad, 'Max', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Returns the indices of the minimum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMin().print();  // or tf.argMin(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMin(axis).print();  // or tf.argMin(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMin_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMin');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => zerosLike($x)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMin($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {$x}, grad) as T;\n}\n\n/**\n * Returns the indices of the maximum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMax().print();  // or tf.argMax(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMax(axis).print();  // or tf.argMax(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMax_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMax');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => zerosLike($x)};\n  };\n  const attrs = {axis: axes[0]};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMax($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ArgMax', attrs, inputsToSave) as T;\n}\n\n/**\n * Computes the logical and of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.all().print();  // or tf.all(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.all(axis).print();  // or tf.all(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction all_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'all', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.all($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the logical or of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.any().print();  // or tf.any(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.any(axis).print();  // or tf.any(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction any_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'any', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.any($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Calculates the mean and variance of `x`. The mean and variance are\n * calculated by aggregating the contents of `x` across `axes`. If `x` is\n * 1-D and `axes = [0]` this is just the mean and variance of a vector.\n *\n * @param x The input tensor.\n * @param axis The dimension(s) along with to compute mean and\n *     variance. By default it reduces all dimensions.\n * @param keepDims If true, the moments have the same dimensionality as the\n *     input.\n * @return An object with two keys: `mean` and `variance`.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction moments_(\n    x: Tensor|TensorLike, axis: number|number[] = null,\n    keepDims = false): {mean: Tensor, variance: Tensor} {\n  x = convertToTensor(x, 'x', 'moments');\n  const axes = util.parseAxisParam(axis, x.shape);\n  const mean = x.mean(axes, keepDims);\n  let keepDimsShape = mean.shape;\n  if (!keepDims) {\n    keepDimsShape = axis_util.expandShapeToKeepDim(mean.shape, axes);\n  }\n  const devSquared = x.toFloat().sub(mean.reshape(keepDimsShape)).square();\n  const variance = devSquared.mean(axes, keepDims);\n  return {mean, variance};\n}\n\nexport const all = op({all_});\n// tslint:disable-next-line:variable-name\nexport const any = op({any_});\nexport const argMax = op({argMax_});\nexport const argMin = op({argMin_});\nexport const logSumExp = op({logSumExp_});\nexport const max = op({max_});\nexport const mean = op({mean_});\nexport const min = op({min_});\nexport const moments = op({moments_});\nexport const sum = op({sum_});\nexport const prod = op({prod_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {maximum} from './binary_ops';\nimport {getReductionAxes} from './broadcast_util';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {SELU_SCALE, SELU_SCALEALPHA} from './selu_util';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes rectified linear element-wise: `max(x, 0)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.relu().print();  // or tf.relu(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mulStrict($x.step().toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu');\n}\n\n/**\n * Computes rectified linear 6 element-wise: `min(max(x, 0), 6)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 8]);\n *\n * x.relu6().print();  // or tf.relu6(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu6_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu6');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    const mask = $x.lessEqual(6).mul($x.step());\n    return {x: () => dy.mulStrict(mask.toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu6($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu6');\n}\n\n/**\n * Computes exponential linear element-wise: `x > 0 ? e ^ x - 1 : 0`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 1, -3, 2]);\n *\n * x.elu().print();  // or tf.elu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction elu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'elu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {\n      $x: () =>\n          ENGINE.runKernelFunc(backend => backend.eluDer(dy, y), {dy, y}) as T\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.elu($x);\n    save([y]);\n    return y;\n  }, {$x}, grad);\n}\n\n/**\n * Computes scaled exponential linear element-wise.\n *\n * `x < 0 ? scale * alpha * (exp(x) - 1) : x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.selu().print();  // or tf.selu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction selu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'selu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => {\n        const mask = $x.greater(scalar(0));\n\n        const scaleAlpha = scalar(SELU_SCALEALPHA);\n        const scale = scalar(SELU_SCALE);\n\n        const greaterThanZeroDer = dy.mul(scale);\n        const lessEqualZeroDer = dy.mul(scaleAlpha).mul($x.toFloat().exp());\n\n        return where(mask, greaterThanZeroDer, lessEqualZeroDer) as T;\n      }\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.selu($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes leaky rectified linear element-wise.\n *\n * See\n * [http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf](\n *     http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf)\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.leakyRelu(0.1).print();  // or tf.leakyRelu(x, 0.1)\n * ```\n * @param x The input tensor.\n * @param alpha The scaling factor for negative values, defaults to 0.2.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction leakyRelu_<T extends Tensor>(x: T|TensorLike, alpha = 0.2): T {\n  const $x = convertToTensor(x, 'x', 'leakyRelu');\n  return maximum(scalar(alpha).mul($x), $x);\n}\n\n/**\n * Computes leaky rectified linear element-wise with parametric alphas.\n *\n * `x < 0 ? alpha * x : f(x) = x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n * const alpha = tf.scalar(0.1);\n *\n * x.prelu(alpha).print();  // or tf.prelu(x, alpha)\n * ```\n * @param x The input tensor.\n * @param alpha Scaling factor for negative values.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction prelu_<T extends Tensor>(x: T|TensorLike, alpha: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'prelu');\n  const $alpha = convertToTensor(alpha, 'alpha', 'prelu');\n\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$x, $alpha] = saved;\n    const mask = $x.greater(0);\n\n    return {\n      x: () => where(mask, dy, dy.mul($alpha)) as T,\n      alpha: () => {\n        let res = where(mask, zerosLike(dy), dy.mul($x));\n        const reduceAxes = getReductionAxes($alpha.shape, dy.shape);\n        if (reduceAxes.length > 0) {\n          res = res.sum(reduceAxes);\n        }\n        return res.reshape($alpha.shape) as T;\n      }\n    };\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.prelu($x, $alpha);\n    save([$x, $alpha]);\n    return res;\n  }, {x: $x, alpha: $alpha}, grad, 'Prelu') as T;\n}\n\nexport const elu = op({elu_});\nexport const leakyRelu = op({leakyRelu_});\nexport const prelu = op({prelu_});\nexport const relu = op({relu_});\nexport const relu6 = op({relu6_});\nexport const selu = op({selu_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Normalizes the activation of a local neighborhood across or within\n * channels.\n *\n * @param x The input tensor. The 4-D input tensor is treated as a 3-D array\n *     of 1D vectors (along the last dimension), and each vector is\n *     normalized independently.\n * @param depthRadius The number of adjacent channels in the 1D normalization\n *     window.\n * @param bias A constant bias term for the basis.\n * @param alpha A scale factor, usually positive.\n * @param beta An exponent.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction localResponseNormalization_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n  const $x = convertToTensor(x, 'x', 'localResponseNormalization');\n  util.assert(\n      $x.rank === 4 || $x.rank === 3,\n      () => `Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank ${$x.rank}.`);\n  util.assert(\n      util.isInt(depthRadius),\n      () => `Error in localResponseNormalization: depthRadius must be an ` +\n          `integer but got depthRadius ${depthRadius}.`);\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x4D: () => ENGINE.runKernelFunc(\n          backend => backend.LRNGrad(\n              dy, x4D as Tensor4D, y as Tensor4D, depthRadius, bias, alpha,\n              beta),\n          {})\n    };\n  };\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.localResponseNormalization4D(\n        x4D, depthRadius, bias, alpha, beta);\n    save([x4D, y]);\n    return y;\n  }, {x4D}, backward);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  } else {\n    return res as T;\n  }\n}\n\nexport const localResponseNormalization = op({localResponseNormalization_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {parseAxisParam} from '../util';\n\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Computes the norm of scalar, vectors, and matrices.\n * This function can compute several different vector norms (the 1-norm, the\n * Euclidean or 2-norm, the inf-norm, and in general the p-norm for p > 0)\n * and matrix norms (Frobenius, 1-norm, and inf-norm).\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.norm().print();  // or tf.norm(x)\n * ```\n *\n * @param x The input array.\n * @param ord Optional. Order of the norm. Supported norm types are\n * following:\n *\n *  | ord        | norm for matrices         | norm for vectors\n *  |------------|---------------------------|---------------------\n *  |'euclidean' |Frobenius norm             |2-norm\n *  |'fro'       |Frobenius norm\t           |\n *  |Infinity    |max(sum(abs(x), axis=1))   |max(abs(x))\n *  |-Infinity   |min(sum(abs(x), axis=1))   |min(abs(x))\n *  |1           |max(sum(abs(x), axis=0))   |sum(abs(x))\n *  |2           |                           |sum(abs(x)^2)^1/2*\n *\n * @param axis Optional. If axis is null (the default), the input is\n * considered a vector and a single vector norm is computed over the entire\n * set of values in the Tensor, i.e. norm(x, ord) is equivalent\n * to norm(x.reshape([-1]), ord). If axis is a integer, the input\n * is considered a batch of vectors, and axis determines the axis in x\n * over which to compute vector norms. If axis is a 2-tuple of integer it is\n * considered a batch of matrices and axis determines the axes in NDArray\n * over which to compute a matrix norm.\n * @param keepDims Optional. If true, the norm have the same dimensionality\n * as the input.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction norm_(\n    x: Tensor|TensorLike, ord: number|'euclidean'|'fro' = 'euclidean',\n    axis: number|number[] = null, keepDims = false): Tensor {\n  x = convertToTensor(x, 'x', 'norm');\n\n  const norm = normImpl(x, ord, axis);\n  let keepDimsShape = norm.shape;\n  if (keepDims) {\n    const axes = parseAxisParam(axis, x.shape);\n    keepDimsShape = axis_util.expandShapeToKeepDim(norm.shape, axes);\n  }\n  return norm.reshape(keepDimsShape);\n}\n\nfunction normImpl(\n    x: Tensor, p: number|string, axis: number|number[] = null): Tensor {\n  if (x.rank === 0) {\n    return x.abs();\n  }\n\n  // consider vector when no axis is specified\n  if (x.rank !== 1 && axis === null) {\n    return normImpl(x.reshape([-1]), p, axis);\n  }\n\n  // vector\n  if (x.rank === 1 || typeof axis === 'number' ||\n      Array.isArray(axis) && axis.length === 1) {\n    if (p === 1) {\n      return x.abs().sum(axis);\n    }\n    if (p === Infinity) {\n      return x.abs().max(axis);\n    }\n    if (p === -Infinity) {\n      return x.abs().min(axis);\n    }\n    if (p === 'euclidean' || p === 2) {\n      // norm(x, 2) = sum(abs(xi) ^ 2) ^ 1/2\n      return x.abs().pow(scalar(2, 'int32')).sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  // matrix (assumption axis[0] < axis[1])\n  if (Array.isArray(axis) && axis.length === 2) {\n    if (p === 1) {\n      return x.abs().sum(axis[0]).max(axis[1] - 1);\n    }\n    if (p === Infinity) {\n      return x.abs().sum(axis[1]).max(axis[0]);\n    }\n    if (p === -Infinity) {\n      return x.abs().sum(axis[1]).min(axis[0]);\n    }\n    if (p === 'fro' || p === 'euclidean') {\n      // norm(x) = sqrt(sum(pow(x, 2)))\n      return x.square().sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  throw new Error(`Error in norm: invalid axis: ${axis}`);\n}\n\nexport const norm = op({norm_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * @docalias (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D]\n */\nexport type LSTMCellFunc = {\n  (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D];\n};\n\n/**\n * Computes the next states and outputs of a stack of LSTMCells.\n *\n * Each cell output is used as input to the next cell.\n *\n * Returns `[cellState, cellOutput]`.\n *\n * Derived from tf.contrib.rn.MultiRNNCell.\n *\n * @param lstmCells Array of LSTMCell functions.\n * @param data The input to the cell.\n * @param c Array of previous cell states.\n * @param h Array of previous cell outputs.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction multiRNNCell_(\n    lstmCells: LSTMCellFunc[], data: Tensor2D|TensorLike,\n    c: Array<Tensor2D|TensorLike>,\n    h: Array<Tensor2D|TensorLike>): [Tensor2D[], Tensor2D[]] {\n  const $data = convertToTensor(data, 'data', 'multiRNNCell');\n  const $c = convertToTensorArray(c, 'c', 'multiRNNCell');\n  const $h = convertToTensorArray(h, 'h', 'multiRNNCell');\n\n  let input = $data;\n  const newStates = [];\n  for (let i = 0; i < lstmCells.length; i++) {\n    const output = lstmCells[i](input, $c[i], $h[i]);\n    newStates.push(output[0]);\n    newStates.push(output[1]);\n    input = output[1];\n  }\n  const newC: Tensor2D[] = [];\n  const newH: Tensor2D[] = [];\n  for (let i = 0; i < newStates.length; i += 2) {\n    newC.push(newStates[i]);\n    newH.push(newStates[i + 1]);\n  }\n  return [newC, newH];\n}\n\n/**\n * Computes the next state and output of a BasicLSTMCell.\n *\n * Returns `[newC, newH]`.\n *\n * Derived from tf.contrib.rnn.BasicLSTMCell.\n *\n * @param forgetBias Forget bias for the cell.\n * @param lstmKernel The weights for the cell.\n * @param lstmBias The bias for the cell.\n * @param data The input to the cell.\n * @param c Previous cell state.\n * @param h Previous cell output.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction basicLSTMCell_(\n    forgetBias: Scalar|TensorLike, lstmKernel: Tensor2D|TensorLike,\n    lstmBias: Tensor1D|TensorLike, data: Tensor2D|TensorLike,\n    c: Tensor2D|TensorLike, h: Tensor2D|TensorLike): [Tensor2D, Tensor2D] {\n  const $forgetBias =\n      convertToTensor(forgetBias, 'forgetBias', 'basicLSTMCell');\n  const $lstmKernel =\n      convertToTensor(lstmKernel, 'lstmKernel', 'basicLSTMCell');\n  const $lstmBias = convertToTensor(lstmBias, 'lstmBias', 'basicLSTMCell');\n  const $data = convertToTensor(data, 'data', 'basicLSTMCell');\n  const $c = convertToTensor(c, 'c', 'basicLSTMCell');\n  const $h = convertToTensor(h, 'h', 'basicLSTMCell');\n\n  const combined = $data.concat($h, 1);\n  const weighted = combined.matMul($lstmKernel);\n  const res: Tensor2D = weighted.add($lstmBias);\n\n  // i = input_gate, j = new_input, f = forget_gate, o = output_gate\n  const batchSize = res.shape[0];\n  const sliceCols = res.shape[1] / 4;\n  const sliceSize: [number, number] = [batchSize, sliceCols];\n  const i = res.slice([0, 0], sliceSize);\n  const j = res.slice([0, sliceCols], sliceSize);\n  const f = res.slice([0, sliceCols * 2], sliceSize);\n  const o = res.slice([0, sliceCols * 3], sliceSize);\n\n  const newC = i.sigmoid().mulStrict(j.tanh()).addStrict(\n      $c.mulStrict($forgetBias.add(f).sigmoid() as Tensor2D));\n  const newH = newC.tanh().mulStrict(o.sigmoid());\n  return [newC, newH];\n}\n\nexport const basicLSTMCell = op({basicLSTMCell_});\nexport const multiRNNCell = op({multiRNNCell_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor} from '../tensor';\nimport {assertTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {pow} from './binary_ops';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Compute the moving average of a variable.\n *\n * Without zeroDebias, the moving average operation is defined by:\n *   `v += delta`\n * where\n *   `delta = (1 - decay) * (x - v)`\n *\n * With zeroDebias (default), the `delta` term is scaled to debias the\n * effect of the (assumed) zero-initialization of `v`.\n *   `delta /= (1 - decay ^ step)`\n *\n * For more details on the zero-debiasing algorithm, see:\n *   https://arxiv.org/abs/1412.6980\n *\n * Note that this function is completely stateless and does not keep track of\n * step count. The step count needs to be maintained by the caller and passed\n * in as `step`.\n *\n * @param v The current moving average value.\n * @param x New input value, must have the same shape and dtype as `v`.\n * @param decay The decay factor. Typical values are 0.95 and 0.99.\n * @param step Step count.\n * @param zeroDebias: Whether zeroDebias is to be performed (default: `true`).\n * @returns The new moving average value.\n */\n/** @doc {heading: 'Operations', subheading: 'Moving Average'} */\nfunction movingAverage_<T extends Tensor>(\n    v: T|TensorLike, x: T|TensorLike, decay: number|Scalar,\n    step?: number|Scalar, zeroDebias = true): T {\n  const $v = convertToTensor(v, 'v', 'movingAverage');\n  const $x = convertToTensor(x, 'x', 'movingAverage');\n  const $decay = convertToTensor(decay, 'decay', 'movingAverage');\n\n  assertTypesMatch($v, $x);\n  util.assert(\n      util.arraysEqual($v.shape, $x.shape), () => 'Shape mismatch in v and x');\n\n  const one = scalar(1);\n  const oneMinusDecay = one.sub($decay);\n\n  let update = $x.sub($v).mul(oneMinusDecay);\n  if (zeroDebias) {\n    util.assert(\n        step != null, () => 'When using zeroDebias: true, step is required.');\n    const $step = convertToTensor(step, 'step', 'movingAverage');\n    update = update.div(one.sub(pow($decay, $step)));\n  }\n  return $v.add(update);\n}\n\nexport const movingAverage = op({movingAverage_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {slice} from './slice';\nimport {computeOutShape, maskToAxes, startForAxis, stopForAxis} from './slice_util';\n\n/**\n * Extracts a strided slice of a tensor.\n *\n * Roughly speaking, this op extracts a slice of size (end-begin)/stride from\n * the given input tensor (x). Starting at the location specified by begin the\n * slice continues by adding stride to the index until all dimensions are not\n * less than end. Note that a stride can be negative, which causes a reverse\n * slice.\n *\n * ```js\n * const t = tf.tensor3d([1, 1, 1 ,2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],\n *    [3, 2, 3]);\n * t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print()  // [[[3, 3, 3]]]\n * t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print()  // [[[3, 3, 3],\n *                                                     // [4, 4, 4]]]\n * t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],\n *                                                     // [3, 3, 3]]]\n * ```\n *\n * @param x The tensor to stride slice.\n * @param begin The coordinates to start the slice from.\n * @param end: The coordinates to end the slice at.\n * @param strides: The size of the slice.\n * @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param endMask: If the ith bit of endMask is set, end[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param shrinkAxisMask: a bitmask where bit i implies that\n * the ith specification should shrink the dimensionality. begin and end must\n * imply a slice of size 1 in the dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction stridedSlice_(\n    x: Tensor|TensorLike, begin: number[], end: number[], strides?: number[],\n    beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n    shrinkAxisMask = 0): Tensor {\n  if (strides == null) {\n    strides = new Array(begin.length);\n  }\n  if (ellipsisMask !== 0) {\n    throw new Error('ellipsis mask is not yet supported');\n  }\n  let $x = convertToTensor(x, 'x', 'stridedSlice');\n\n  // Expand the dims of x based on the newAxisMask.\n  const expandAxes = maskToAxes(newAxisMask);\n  const newShape = $x.shape.slice();\n  expandAxes.forEach(axis => {\n    begin[axis] = 0;\n    end[axis] = 1;\n    newShape.splice(axis, 0, 1);\n  });\n  $x = $x.reshape(newShape);\n\n  // Normalize the start, end and strides.\n  for (let axis = 0; axis < $x.rank; axis++) {\n    begin[axis] = startForAxis(beginMask, begin, strides, $x.shape, axis);\n    end[axis] = stopForAxis(endMask, end, strides, $x.shape, axis);\n    strides[axis] = strides[axis] || 1;\n  }\n\n  const shrinkAxes = maskToAxes(shrinkAxisMask);\n  // Adjust the ends based on the shrink mask.\n  shrinkAxes.forEach(axis => {\n    end[axis] = begin[axis] + 1;\n    strides[axis] = 1;\n  });\n\n  // Figure out the output shape.\n  const size = computeOutShape(begin, end, strides);\n  // Remove the axes based on shrinkMask.\n  const outShape = size.filter((_, axis) => shrinkAxes.indexOf(axis) === -1);\n\n  const nonStrided = strides.every(v => v === 1);\n  if (nonStrided) {\n    return slice($x, begin, size).reshape(outShape);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.stridedSlice($x, begin, end, strides), {$x});\n  return res.reshape(outShape);\n}\n\nexport const stridedSlice = op({stridedSlice_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {NumericTensor, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Finds the values and indices of the `k` largest entries along the last\n * dimension.\n *\n * If the input is a vector (rank=1), finds the k largest entries in the vector\n * and outputs their values and indices as vectors. Thus values[j] is the j-th\n * largest entry in input, and its index is indices[j].\n * For higher rank inputs, computes the top k entries along the last dimension.\n *\n * If two elements are equal, the lower-index element appears first.\n *\n * ```js\n * const a = tf.tensor2d([[1, 5], [4, 3]]);\n * const {values, indices} = tf.topk(a);\n * values.print();\n * indices.print();\n * ```\n * @param x 1-D or higher `tf.Tensor` with last dimension being at least `k`.\n * @param k Number of top elements to look for along the last dimension.\n * @param sorted If true, the resulting `k` elements will be sorted by the\n *     values in descending order.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nfunction topk_<T extends Tensor>(\n    x: T|TensorLike, k = 1, sorted = true): {values: T, indices: T} {\n  const $x = convertToTensor(x, 'x', 'topk');\n  if ($x.rank === 0) {\n    throw new Error('topk() expects the input to be of rank 1 or higher');\n  }\n  const lastDim = $x.shape[$x.shape.length - 1];\n  if (k > lastDim) {\n    throw new Error(\n        `'k' passed to topk() must be <= the last dimension (${lastDim}) ` +\n        `but got ${k}`);\n  }\n\n  const [values, indices] =\n      ENGINE.runKernelFunc(b => b.topk($x as NumericTensor, k, sorted), {$x});\n  return {values, indices} as {values: T, indices: T};\n}\n\nexport const topk = op({topk_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\nimport * as scatter_nd_util from './scatter_nd_util';\n\n/**\n * Creates a new tensor by applying sparse updates to individual\n * values or slices within a zero tensor of the given shape tensor according to\n * indices. This operator is the inverse of the `tf.gatherND` operator which\n * extracts values or slices from a given tensor.\n *\n * ```js\n * const indices = tf.tensor2d([4, 3, 1, 7], [4, 1], 'int32');\n * const updates = tf.tensor1d([9, 10, 11, 12]);\n * const shape = [8];\n * tf.scatterND(indices, updates, shape).print() //[0, 11, 0, 10, 9, 0, 0, 12]\n * ```\n *\n * @param indices The tensor contains the indices into the output tensor.\n * @param updates The tensor contains the value for the indices.\n * @param shape: The shape of the output tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction scatterND_<R extends Rank>(\n    indices: Tensor|TensorLike, updates: Tensor|TensorLike,\n    shape: ShapeMap[R]): Tensor<R> {\n  const $indices = convertToTensor(indices, 'indices', 'scatterND', 'int32');\n  const $updates = convertToTensor(updates, 'updates', 'scatterND');\n  scatter_nd_util.validateInput($updates, $indices, shape);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.scatterND($indices, $updates, shape),\n      {indices: $indices, updates: $updates}, null /* backward */, 'ScatterNd',\n      {shape});\n}\n\nexport const scatterND = op({scatterND_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {complex, imag, real} from '../ops/complex_ops';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {assert} from '../util';\nimport {scalar, zeros} from './tensor_ops';\n\n/**\n * Fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the inner-most\n * dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.fft().print();  // tf.spectral.fft(x).print();\n * ```\n * @param input The complex input to compute an fft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction fft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.fft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.fft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Inverse fast Fourier transform.\n *\n * Computes the inverse 1-dimensional discrete Fourier transform over the\n * inner-most dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.ifft().print();  // tf.spectral.ifft(x).print();\n * ```\n * @param input The complex input to compute an ifft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction ifft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.ifft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.ifft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Real value input fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n *\n * real.rfft().print();\n * ```\n * @param input The real value input to compute an rfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction rfft_(input: Tensor, fftLength?: number): Tensor {\n  assert(\n      input.dtype === 'float32',\n      () => `The dtype for rfft() must be real value but got ${input.dtype}`);\n\n  let innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  let adjustedInput: Tensor;\n  if (fftLength != null && fftLength < innerDimensionSize) {\n    // Need to crop\n    const begin = input.shape.map(v => 0);\n    const size = input.shape.map(v => v);\n    size[input.shape.length - 1] = fftLength;\n    adjustedInput = input.slice(begin, size);\n    innerDimensionSize = fftLength;\n  } else if (fftLength != null && fftLength > innerDimensionSize) {\n    // Need to pad with zeros\n    const zerosShape = input.shape.map(v => v);\n    zerosShape[input.shape.length - 1] = fftLength - innerDimensionSize;\n    adjustedInput = input.concat(zeros(zerosShape), input.shape.length - 1);\n    innerDimensionSize = fftLength;\n  } else {\n    adjustedInput = input;\n  }\n\n  // Complement the input with zero imaginary numbers.\n  const zerosInput = adjustedInput.zerosLike();\n  const complexInput =\n      complex(adjustedInput, zerosInput).as2D(batch, innerDimensionSize);\n\n  const ret = fft(complexInput);\n\n  // Exclude complex conjugations. These conjugations are put symmetrically.\n  const half = Math.floor(innerDimensionSize / 2) + 1;\n  const realValues = real(ret);\n  const imagValues = imag(ret);\n  const realComplexConjugate = realValues.split(\n      [half, innerDimensionSize - half], realValues.shape.length - 1);\n  const imagComplexConjugate = imagValues.split(\n      [half, innerDimensionSize - half], imagValues.shape.length - 1);\n\n  const outputShape = adjustedInput.shape.slice();\n  outputShape[adjustedInput.shape.length - 1] = half;\n\n  return complex(realComplexConjugate[0], imagComplexConjugate[0])\n      .reshape(outputShape);\n}\n\n/**\n * Inversed real value input fast Fourier transform.\n *\n * Computes the 1-dimensional inversed discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([0, 0, 0]);\n * const x = tf.complex(real, imag);\n *\n * x.irfft().print();\n * ```\n * @param input The real value input to compute an irfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction irfft_(input: Tensor): Tensor {\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  if (innerDimensionSize <= 2) {\n    const complexInput = input.as2D(batch, innerDimensionSize);\n    const ret = ifft(complexInput);\n    return real(ret);\n  } else {\n    // The length of unique components of the DFT of a real-valued signal\n    // is 2 * (input_len - 1)\n    const outputShape = [batch, 2 * (innerDimensionSize - 1)];\n    const realInput = real(input).as2D(batch, innerDimensionSize);\n    const imagInput = imag(input).as2D(batch, innerDimensionSize);\n\n    const realConjugate =\n        realInput.slice([0, 1], [batch, innerDimensionSize - 2]).reverse(1);\n    const imagConjugate: Tensor2D =\n        imagInput.slice([0, 1], [batch, innerDimensionSize - 2])\n            .reverse(1)\n            .mul(scalar(-1));\n\n    const r = realInput.concat(realConjugate, 1);\n    const i = imagInput.concat(imagConjugate, 1);\n    const complexInput = complex(r, i).as2D(outputShape[0], outputShape[1]);\n    const ret = ifft(complexInput);\n    return real(ret);\n  }\n}\n\nexport const fft = op({fft_});\nexport const ifft = op({ifft_});\nexport const rfft = op({rfft_});\nexport const irfft = op({irfft_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport * as sparse_to_dense from '../ops/sparse_to_dense_util';\nimport {Scalar, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ScalarLike, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Converts a sparse representation into a dense tensor.\n *\n * Builds an array dense with shape outputShape such that:\n *\n * // If sparseIndices is scalar\n * dense[i] = (i == sparseIndices ? sparseValues : defaultValue)\n *\n * // If sparseIndices is a vector, then for each i\n * dense[sparseIndices[i]] = sparseValues[i]\n *\n * // If sparseIndices is an n by d matrix, then for each i in [0, n)\n * dense[sparseIndices[i][0], ..., sparseIndices[i][d-1]] = sparseValues[i]\n * All other values in dense are set to defaultValue. If sparseValues is a\n * scalar, all sparse indices are set to this single value.\n *\n * If indices are repeated the final value is summed over all values for those\n * indices.\n *\n * ```js\n * const indices = tf.tensor1d([4, 5, 6, 1, 2, 3], 'int32');\n * const values = tf.tensor1d([10, 11, 12, 13, 14, 15], 'float32');\n * const shape = [8];\n * tf.sparseToDense(indices, values, shape).print();\n * ```\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape Shape of the dense output tensor. the type is inferred.\n * @param defaultValue Scalar. Value to set for indices not specified in\n * sparseIndices. Defaults to zero.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction sparseToDense_<R extends Rank>(\n    sparseIndices: Tensor|TensorLike, sparseValues: Tensor|TensorLike,\n    outputShape: ShapeMap[R], defaultValue: Scalar|ScalarLike = 0): Tensor<R> {\n  const $sparseIndices =\n      convertToTensor(sparseIndices, 'sparseIndices', 'sparseToDense', 'int32');\n  const $sparseValues =\n      convertToTensor(sparseValues, 'sparseValues', 'sparseToDense');\n  const $defaultValue = convertToTensor(\n      defaultValue, 'defaultValue', 'sparseToDense', $sparseValues.dtype);\n\n  sparse_to_dense.validateInput(\n      $sparseIndices, $sparseValues, outputShape, $defaultValue);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.sparseToDense(\n          $sparseIndices, $sparseValues, outputShape, $defaultValue),\n      {$sparseIndices, $sparseValues, $defaultValue});\n}\n\nexport const sparseToDense = op({sparseToDense_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\n\n/**\n * Validate sparseToDense inputs.\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape number[]. Shape of the dense output tensor.\n * @param validateIndices boolean. indice validation is not supported, error\n * will be thrown if it is set.\n */\nexport function validateInput(\n    sparseIndices: Tensor, sparseValues: Tensor, outputShape: number[],\n    defaultValues: Tensor) {\n  if (sparseIndices.dtype !== 'int32') {\n    throw new Error(\n        'tf.sparseToDense() expects the indices to be int32 type,' +\n        ` but the dtype was ${sparseIndices.dtype}.`);\n  }\n  if (sparseIndices.rank > 2) {\n    throw new Error(\n        'sparseIndices should be a scalar, vector, or matrix,' +\n        ` but got shape ${sparseIndices.shape}.`);\n  }\n\n  const numElems = sparseIndices.rank > 0 ? sparseIndices.shape[0] : 1;\n  const numDims = sparseIndices.rank > 1 ? sparseIndices.shape[1] : 1;\n\n  if (outputShape.length !== numDims) {\n    throw new Error(\n        'outputShape has incorrect number of elements:,' +\n        ` ${outputShape.length}, should be: ${numDims}.`);\n  }\n\n  const numValues = sparseValues.size;\n  if (!(sparseValues.rank === 0 ||\n        sparseValues.rank === 1 && numValues === numElems)) {\n    throw new Error(\n        'sparseValues has incorrect shape ' +\n        `${sparseValues.shape}, should be [] or [${numElems}]`);\n  }\n\n  if (sparseValues.dtype !== defaultValues.dtype) {\n    throw new Error('sparseValues.dtype must match defaultValues.dtype');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Gather slices from input tensor into a Tensor with shape specified by\n * `indices`.\n *\n * `indices` is an K-dimensional integer tensor, best thought of as a\n * (K-1)-dimensional tensor of indices into input, where each element defines a\n * slice of input:\n * output[\\\\(i_0, ..., i_{K-2}\\\\)] = input[indices[\\\\(i_0, ..., i_{K-2}\\\\)]]\n *\n * Whereas in `tf.gather`, `indices` defines slices into the first dimension of\n * input, in `tf.gatherND`, `indices` defines slices into the first N dimensions\n * of input, where N = indices.shape[-1].\n *\n * The last dimension of indices can be at most the rank of input:\n * indices.shape[-1] <= input.rank\n *\n * The last dimension of `indices` corresponds to elements\n * (if indices.shape[-1] == input.rank) or slices\n * (if indices.shape[-1] < input.rank) along dimension indices.shape[-1] of\n * input.\n * The output tensor has shape\n * indices.shape[:-1] + input.shape[indices.shape[-1]:]\n *\n * Note that on CPU, if an out of bound index is found, an error is returned. On\n * GPU, if an out of bound index is found, a 0 is stored in the corresponding\n * output value.\n *\n * ```js\n * const indices = tf.tensor2d([0, 1, 1, 0], [2,2], 'int32');\n * const input = tf.tensor2d([9, 10, 11, 12], [2, 2]);\n * tf.gatherND(input, indices).print() // [10, 11]\n * ```\n *\n * @param x The tensor from which to gather values.\n * @param indices Index tensor, must be of type int32.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction gatherND_(x: Tensor|TensorLike, indices: Tensor|TensorLike): Tensor {\n  const $indices = convertToTensor(indices, 'indices', 'gatherND', 'int32');\n  const $x = convertToTensor(x, 'x', 'gatherND');\n  return ENGINE.runKernelFunc(\n      backend => backend.gatherND($x, $indices), {x: $x, indices: $indices},\n      null /* backward */, 'GatherNd');\n}\nexport const gatherND = op({gatherND_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {op} from './operation';\n\n/**\n * Returns a diagonal tensor with a given diagonal values.\n *\n * Given a diagonal, this operation returns a tensor with the diagonal and\n * everything else padded with zeros.\n *\n * Assume the input has dimensions `[D1,..., Dk]`, then the output is a tensor\n * of rank 2k with dimensions `[D1,..., Dk, D1,..., Dk]`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * tf.diag(x).print()\n * ```\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4, 5, 6, 6, 8], [4, 2])\n *\n * tf.diag(x).print()\n * ```\n * @param x The input tensor.\n */\nfunction diag_(x: Tensor): Tensor {\n  const $x = convertToTensor(x, 'x', 'diag').flatten();\n  const outShape = [...x.shape, ...x.shape];\n  return ENGINE.runKernelFunc(backend => backend.diag($x), {$x})\n      .reshape(outShape);\n}\n\nexport const diag = op({diag_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {getNoiseShape} from './dropout_util';\nimport {op} from './operation';\nimport {randomUniform} from './random_uniform';\n\n/**\n * Computes dropout.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 2, 1]);\n * const rate = 0.75;\n * const output = tf.dropout(x, rate);\n * output.print();\n * ```\n *\n * @param x A floating point Tensor or TensorLike.\n * @param rate A float in the range [0, 1). The probability that each element\n *   of x is discarded.\n * @param noiseShape An array of numbers of type int32, representing the\n * shape for randomly generated keep/drop flags. If the noiseShape has null\n * value, it will be automatically replaced with the x's relative dimension\n * size. Optional.\n * @param seed Used to create random seeds. Optional.\n * @returns A Tensor of the same shape of x.\n */\n/** @doc {heading: 'Operations', subheading: 'Dropout'} */\nfunction dropout_(\n    x: Tensor|TensorLike, rate: number, noiseShape?: number[],\n    seed?: number|string): Tensor {\n  const $x = convertToTensor(x, 'x', 'dropout');\n\n  util.assert(\n      $x.dtype === 'float32',\n      () => `x has to be a floating point tensor since it's going to be ` +\n          `scaled, but got a ${$x.dtype} tensor instead.`);\n  util.assert(\n      rate >= 0 && rate < 1,\n      () => `rate must be a float in the range [0, 1), but got ${rate}.`);\n\n  if (rate === 0) {\n    return x instanceof Tensor ? $x.clone() : $x;\n  }\n\n  const $noiseShape = getNoiseShape($x, noiseShape);\n  const keepProb = 1 - rate;\n  const multiplier = randomUniform($noiseShape, 0, 1, 'float32', seed)\n                         .add(keepProb)\n                         .floor()\n                         .div(keepProb);\n\n  return $x.mul(multiplier);\n}\n\nexport const dropout = op({dropout_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\n/**\n * Normalize noise shape based on provided tensor and noise shape.\n *\n * @param x Tensor.\n * @param noiseShape The shape for the randomly generated keep/drop flags, as\n *   an array of numbers. Optional.\n * @returns Normalized noise shape.\n */\nexport function getNoiseShape(x: Tensor, noiseShape?: number[]): number[] {\n  if (noiseShape == null) {\n    return x.shape.slice();\n  }\n  if (util.arraysEqual(x.shape, noiseShape)) {\n    return noiseShape;\n  }\n  if (x.shape.length === noiseShape.length) {\n    const newDimension: number[] = [];\n    for (let i = 0; i < x.shape.length; i++) {\n      if (noiseShape[i] == null && x.shape[i] != null) {\n        newDimension.push(x.shape[i]);\n      } else {\n        newDimension.push(noiseShape[i]);\n      }\n    }\n    return newDimension;\n  }\n\n  return noiseShape;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor1D} from '../tensor';\n\nimport {mul} from './binary_ops';\nimport {concat} from './concat_split';\nimport {slice} from './slice';\nimport {rfft} from './spectral_ops';\nimport {fill, tensor1d, tensor2d} from './tensor_ops';\n\n/**\n * Generate a Hann window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hannWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hannWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.5, 0.5);\n}\n\n/**\n * Generate a hamming window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hammingWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hammingWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.54, 0.46);\n}\n\n/**\n * Expands input into frames of frameLength.\n * Slides a window size with frameStep.\n *\n * ```js\n * tf.signal.frame([1, 2, 3], 2, 1).print();\n * ```\n * @param signal The input tensor to be expanded\n * @param frameLength Length of each frame\n * @param frameStep The frame hop size in samples.\n * @param padEnd Whether to pad the end of signal with padValue.\n * @param padValue An number to use where the input signal does\n *     not exist when padEnd is True.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction frame_(\n    signal: Tensor1D, frameLength: number, frameStep: number, padEnd = false,\n    padValue = 0): Tensor {\n  let start = 0;\n  const output: Tensor[] = [];\n  while (start + frameLength <= signal.size) {\n    output.push(slice(signal, start, frameLength));\n    start += frameStep;\n  }\n\n  if (padEnd) {\n    while (start < signal.size) {\n      const padLen = (start + frameLength) - signal.size;\n      const pad = concat(\n          [slice(signal, start, frameLength - padLen),\n           fill([padLen], padValue)]);\n      output.push(pad);\n      start += frameStep;\n    }\n  }\n\n  if (output.length === 0) {\n    return tensor2d([], [0, frameLength]);\n  }\n\n  return concat(output).as2D(output.length, frameLength);\n}\n\n/**\n * Computes the Short-time Fourier Transform of signals\n * See: https://en.wikipedia.org/wiki/Short-time_Fourier_transform\n *\n * ```js\n * const input = tf.tensor1d([1, 1, 1, 1, 1])\n * tf.signal.stft(input, 3, 1).print();\n * ```\n * @param signal 1-dimensional real value tensor.\n * @param frameLength The window length of samples.\n * @param frameStep The number of samples to step.\n * @param fftLength The size of the FFT to apply.\n * @param windowFn A callable that takes a window length and returns 1-d tensor.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction stft_(\n    signal: Tensor1D, frameLength: number, frameStep: number,\n    fftLength?: number,\n    windowFn: (length: number) => Tensor1D = hannWindow): Tensor {\n  if (fftLength == null) {\n    fftLength = enclosingPowerOfTwo(frameLength);\n  }\n  const framedSignal = frame(signal, frameLength, frameStep);\n  const windowedSignal = mul(framedSignal, windowFn(frameLength));\n  const output: Tensor[] = [];\n  for (let i = 0; i < framedSignal.shape[0]; i++) {\n    output.push(rfft(windowedSignal.slice([i, 0], [1, frameLength]),\n      fftLength));\n  }\n  return concat(output);\n}\n\nfunction enclosingPowerOfTwo(value: number) {\n  // Return 2**N for integer N such that 2**N >= value.\n  return Math.floor(Math.pow(2, Math.ceil(Math.log(value) / Math.log(2.0))));\n}\n\nfunction cosineWindow(windowLength: number, a: number, b: number): Tensor1D {\n  const even = 1 - windowLength % 2;\n  const newValues = new Float32Array(windowLength);\n  for (let i = 0; i < windowLength; ++i) {\n    const cosArg = (2.0 * Math.PI * i) / (windowLength + even - 1);\n    newValues[i] = a - b * Math.cos(cosArg);\n  }\n  return tensor1d(newValues, 'float32');\n}\n\nexport const hannWindow = op({hannWindow_});\nexport const hammingWindow = op({hammingWindow_});\nexport const frame = op({frame_});\nexport const stft = op({stft_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {expandShapeToKeepDim} from './axis_util';\nimport {minimum} from './binary_ops';\nimport {op} from './operation';\nimport {ones, scalar} from './tensor_ops';\n\nexport enum Reduction {\n  NONE,\n  MEAN,\n  SUM,\n  SUM_BY_NONZERO_WEIGHTS\n}\n\n/**\n * Computes the weighted loss between two tensors.\n *\n * @param losses Tensor of shape `[batch_size, d1, ... dN]`.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `losses`, and must be broadcastable to `losses` (i.e., all\n *    dimensions must be either `1`, or the same as the corresponding\n *    `losses` dimension).\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction computeWeightedLoss_<T extends Tensor, O extends Tensor>(\n    losses: T|TensorLike, weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $losses = convertToTensor(losses, 'losses', 'computeWeightedLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'computeWeightedLoss');\n  }\n\n  const weightedLoss = ($weights == null) ? $losses : $losses.mul($weights);\n\n  if (reduction === Reduction.NONE) {\n    return weightedLoss as O;\n  }\n  if (reduction === Reduction.SUM) {\n    return weightedLoss.sum();\n  }\n  if (reduction === Reduction.MEAN) {\n    if ($weights == null) {\n      return weightedLoss.mean();\n    } else {\n      const broadcastFactor = $losses.size / $weights.size;\n      const result = weightedLoss.sum().div($weights.sum());\n      return broadcastFactor > 1 ? result.div(scalar(broadcastFactor)) :\n                                   result as O;\n    }\n  }\n  if (reduction === Reduction.SUM_BY_NONZERO_WEIGHTS) {\n    if ($weights == null) {\n      return weightedLoss.sum().div(scalar($losses.size));\n    } else {\n      const broadcastedWeights = $weights.mul(ones($losses.shape));\n\n      const numNonZeros =\n          broadcastedWeights.notEqual(scalar(0)).sum().toFloat();\n      return weightedLoss.sum().div(numNonZeros);\n    }\n  }\n\n  throw Error(`Unknown reduction: ${reduction}`);\n}\n\n/**\n * Computes the absolute difference loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction absoluteDifference_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'absoluteDifference');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'absoluteDifference');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'absoluteDifference');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in absoluteDifference: ');\n\n  const losses = $labels.sub($predictions).abs();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the mean squared error between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction meanSquaredError_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'meanSquaredError');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'meanSquaredError');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'meanSquaredError');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in meanSquaredError: ');\n\n  const losses = $labels.squaredDifference($predictions);\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the cosine distance loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param axis The dimension along which the cosine distance is computed.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction cosineDistance_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike, axis: number,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'cosineDistance');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'cosineDistance');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'cosineDistance');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in cosineDistance: ');\n\n  const one = scalar(1);\n  const losses = one.sub($labels.mul($predictions).sum(axis, true));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the Hinge loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction hingeLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $labels = convertToTensor(labels, 'labels', 'hingeLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'hingeLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'hingeLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in hingeLoss: ');\n\n  const one = scalar(1);\n  // Convert binary labels to (-1, 1)\n  $labels = scalar(2).mul($labels).sub(one);\n  const losses = one.sub($labels.mul($predictions)).relu();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the log loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param epsilon A small increment to avoid taking log of zero\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction logLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, epsilon = 1e-7,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'logLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'logLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'logLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in logLoss: ');\n\n  const one = scalar(1);\n  const epsilonScalar = scalar(epsilon);\n  const losses = $labels.mul($predictions.add(epsilonScalar).log())\n                     .neg()\n                     .sub(one.sub($labels).mul(\n                         one.sub($predictions).add(epsilonScalar).log()));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nfunction sigmoidCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, logits: T|TensorLike): O {\n  const $labels =\n      convertToTensor(labels, 'labels', 'sigmoidCrossEntropyWithLogits');\n  const $logits =\n      convertToTensor(logits, 'logits', 'sigmoidCrossEntropyWithLogits');\n  assertShapesMatch(\n      $labels.shape, $logits.shape, 'Error in sigmoidCrossEntropyWithLogits: ');\n\n  /**\n   * Implementation Details:\n   *\n   * For brevity, let `x = logits`, `z = labels`.  The logistic loss is\n   *     z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))\n   *   = z * -log(1 / (1 + exp(-x))) + (1 - z) * -log(exp(-x) / (1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (-log(exp(-x)) + log(1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (x + log(1 + exp(-x))\n   *   = (1 - z) * x + log(1 + exp(-x))\n   *   = x - x * z + log(1 + exp(-x))\n   *\n   *   For x < 0, to avoid overflow in exp(-x), we reformulate the above\n   *     x - x * z + log(1 + exp(-x))\n   *   = log(exp(x)) - x * z + log(1 + exp(-x))\n   *   = - x * z + log(1 + exp(x))\n   *\n   * Hence, to ensure stability and avoid overflow, the implementation uses\n   * this equivalent formulation:\n   *     max(x, 0) - x * z + log(1 + exp(-abs(x)))\n   */\n  const maxOutput = $logits.relu();\n  const outputXTarget = $logits.mul($labels);\n  const sigmoidOutput = $logits.abs().neg().exp().log1p();\n\n  return maxOutput.sub(outputXTarget).add(sigmoidOutput);\n}\n\n/**\n * Computes the sigmoid cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newMulticlassLabels = multiclassLabels * (1 - labelSmoothing)\n *                         + 0.5 * labelSmoothing\n *\n * @param multiClassLabels The ground truth output tensor of shape\n * [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction sigmoidCrossEntropy_<T extends Tensor, O extends Tensor>(\n    multiClassLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $multiClassLabels = convertToTensor(\n      multiClassLabels, 'multiClassLabels', 'sigmoidCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'sigmoidCrossEntropy');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'sigmoidCrossEntropy');\n  }\n  assertShapesMatch(\n      $multiClassLabels.shape, $logits.shape, 'Error in sigmoidCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const half = scalar(0.5);\n\n    $multiClassLabels = $multiClassLabels.mul(one.sub(labelSmoothingScalar))\n                            .add(half.mul(labelSmoothingScalar));\n  }\n  const losses = sigmoidCrossEntropyWithLogits_($multiClassLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the huber loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param delta Point where huber loss changes from quadratic to linear.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`.\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction huberLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, delta = 1.0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'huberLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'huberLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'huberLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in huberLoss: ');\n\n  const deltaScalar = scalar(delta);\n  const error = $predictions.sub($labels).abs();\n  const quadratic = minimum(error, deltaScalar);\n  const linear = error.sub(quadratic);\n\n  const losses =\n      scalar(0.5).mul(quadratic.square()).add(deltaScalar.mul(linear));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes softmax cross entropy between logits and labels.\n *\n * Measures the probability error in discrete classification tasks in which\n * the classes are mutually exclusive (each entry is in exactly one class).\n * For example, each CIFAR-10 image is labeled with one and only one label: an\n * image can be a dog or a truck, but not both.\n *\n * `NOTE`: While the classes are mutually exclusive, their probabilities need\n * not be. All that is required is that each row of labels is a valid\n * probability distribution. If they are not, the computation of the gradient\n * will be incorrect.\n *\n * `WARNING`: This op expects unscaled logits, since it performs a softmax on\n * logits internally for efficiency. Do not call this op with the output of\n * softmax, as it will produce incorrect results.\n *\n * logits and labels must have the same shape, e.g. [batch_size, num_classes]\n * and the same dtype.\n * @param labels The labels array.\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\nfunction softmaxCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T, logits: T, dim = -1): O {\n  if (dim === -1) {\n    dim = logits.rank - 1;\n  }\n\n  if (dim !== logits.rank - 1) {\n    throw Error(\n        `Softmax cross entropy along a non-last dimension is not yet ` +\n        `supported. Labels / logits was rank ${logits.rank} ` +\n        `and dim was ${dim}`);\n  }\n  // Use a custom gradient for numerical stability.\n  const customOp =\n      customGrad((labels: Tensor, logits: Tensor, save: GradSaveFunc) => {\n        // Reference:\n        //   1. http://cs231n.github.io/linear-classify/#softmax\n        //   2. https://blog.feedly.com/tricks-of-the-trade-logsumexp/\n        const keepDims = true;\n        const lse = logits.logSumExp([dim], keepDims);\n        const logResult = logits.toFloat().sub(lse);\n        save([labels, logResult]);\n\n        const costVector = logResult.mul(labels).neg();\n        const value: O = costVector.sum([dim]);\n\n        const gradFunc = (dy: O, saved: Tensor[]) => {\n          const [labels, logResult] = saved;\n          const dyShape = expandShapeToKeepDim(dy.shape, [dim]);\n          return [\n            dy.reshape(dyShape).mul(labels.toFloat().sub(logResult.exp())),\n            dy.reshape(dyShape).mul(logResult.exp().sub(labels.toFloat())),\n          ];\n        };\n        return {value, gradFunc};\n      });\n\n  return customOp(labels, logits);\n}\n\n/**\n * Computes the softmax cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newOnehotLabels = onehotLabels * (1 - labelSmoothing)\n *                         + labelSmoothing / numClasses\n *\n * @param onehotLabels One hot encoded labels\n *    [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or 1, and must be\n *    broadcastable to `loss`  of shape [batch_size]\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction softmaxCrossEntropy_<T extends Tensor, O extends Tensor>(\n    onehotLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $onehotLabels =\n      convertToTensor(onehotLabels, 'onehotLabels', 'softmaxCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'softmaxCrossEntropy');\n  let $weights: Tensor = null;\n\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'softmaxCrossEntropy');\n  }\n\n  assertShapesMatch(\n      $onehotLabels.shape, $logits.shape, 'Error in softmaxCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const numClasses = scalar($onehotLabels.shape[1]);\n\n    $onehotLabels = $onehotLabels.mul(one.sub(labelSmoothingScalar))\n                        .add(labelSmoothingScalar.div(numClasses));\n  }\n\n  const losses = softmaxCrossEntropyWithLogits_($onehotLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nexport const absoluteDifference = op({absoluteDifference_});\nexport const computeWeightedLoss = op({computeWeightedLoss_});\nexport const cosineDistance = op({cosineDistance_});\nexport const hingeLoss = op({hingeLoss_});\nexport const huberLoss = op({huberLoss_});\nexport const logLoss = op({logLoss_});\nexport const meanSquaredError = op({meanSquaredError_});\nexport const sigmoidCrossEntropy = op({sigmoidCrossEntropy_});\nexport const softmaxCrossEntropy = op({softmaxCrossEntropy_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch, getTypedArrayFromDType} from '../util';\nimport {tensor} from './tensor_ops';\n\n/**\n * Returns whether the targets are in the top K predictions.\n *\n * ```js\n * const predictions = tf.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);\n * const targets = tf.tensor1d([2, 0]);\n * const precision = await tf.inTopKAsync(predictions, targets);\n * precision.print();\n * ```\n * @param predictions 2-D or higher `tf.Tensor` with last dimension being\n *     at least `k`.\n * @param targets 1-D or higher `tf.Tensor`.\n * @param k Optional Number of top elements to look at for computing precision,\n *     default to 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nasync function inTopKAsync_<T extends Tensor, U extends Tensor>(\n    predictions: T|TensorLike, targets: U|TensorLike, k = 1): Promise<U> {\n  const $predictions = convertToTensor(predictions, 'predictions', 'inTopK');\n  const $targets = convertToTensor(targets, 'targets', 'inTopK');\n\n  assert(\n      $predictions.rank > 1,\n      () => 'inTopK() expects the predictions to be of rank 2 or higher, ' +\n          `but got ${$predictions.rank}`);\n  assert(\n      $predictions.rank - 1 === $targets.rank,\n      () => `predictions rank should be 1 larger than ` +\n          `targets rank, but got predictions rank ` +\n          `${$predictions.rank} and targets rank ${$targets.rank}`);\n  assertShapesMatch(\n      $predictions.shape.slice(0, $predictions.shape.length - 1),\n      $targets.shape,\n      `predictions's shape should be align with the targets' shape, ` +\n          'except the last dimension.');\n  const lastDim = $predictions.shape[$predictions.shape.length - 1];\n  assert(\n      k > 0 && k <= lastDim,\n      () => `'k' passed to inTopK() must be > 0 && <= the predictions last ` +\n          `dimension (${lastDim}), but got ${k}`);\n\n  const predictionsVals = await $predictions.data();\n  const targetsVals = await $targets.data();\n\n  // Reshape predictionsVals into a 2d tensor [batch, lastDim]\n  // and look up topK along lastDim.\n  const [batch, size] = [predictionsVals.length / lastDim, lastDim];\n  const precision = getTypedArrayFromDType('bool', batch);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = predictionsVals.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    precision[b] = 0;\n    for (let i = 0; i < k; i++) {\n      if (valAndInd[i].index === targetsVals[b]) {\n        precision[b] = 1;\n        break;\n      }\n    }\n  }\n\n  if (predictions !== $predictions) {\n    $predictions.dispose();\n  }\n  if (targets !== $targets) {\n    $targets.dispose();\n  }\n\n  // Output precision has the same shape as targets.\n  return tensor(precision, $targets.shape, 'bool') as U;\n}\n\nexport const inTopKAsync = inTopKAsync_;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Linear algebra ops.\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose} from '../globals';\nimport {Tensor, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {squeeze, stack, unstack} from './array_ops';\nimport {sub} from './binary_ops';\nimport {split} from './concat_split';\nimport {eye} from './eye';\nimport {logicalAnd, where} from './logical_ops';\nimport {norm} from './norm';\nimport {op} from './operation';\nimport {sum} from './reduction_ops';\nimport {range, scalar, tensor2d, zeros} from './tensor_ops';\n\n/**\n * Copy a tensor setting everything outside a central band in each innermost\n * matrix to zero.\n *\n * The band part is computed as follows: Assume input has `k` dimensions\n * `[I, J, K, ..., M, N]`, then the output is a tensor with the same shape where\n * `band[i, j, k, ..., m, n] = in_band(m, n) * input[i, j, k, ..., m, n]`.\n * The indicator function\n * `in_band(m, n) = (num_lower < 0 || (m-n) <= num_lower))`\n * `&& (num_upper < 0 || (n-m) <= num_upper)`\n *\n * ```js\n * const x = tf.tensor2d([[ 0,  1,  2, 3],\n *                        [-1,  0,  1, 2],\n *                        [-2, -1,  0, 1],\n *                        [-3, -2, -1, 0]]);\n * let y = tf.linalg.bandPart(x, 1, -1);\n * y.print(); // [[ 0,  1,  2, 3],\n *            //  [-1,  0,  1, 2],\n *            //  [ 0, -1,  0, 1],\n *            //  [ 0, 0 , -1, 0]]\n * let z = tf.linalg.bandPart(x, 2, 1);\n * z.print(); // [[ 0,  1,  0, 0],\n *            //  [-1,  0,  1, 0],\n *            //  [-2, -1,  0, 1],\n *            //  [ 0, -2, -1, 0]]\n * ```\n *\n * @param x Rank `k` tensor\n * @param numLower Number of subdiagonals to keep.\n *   If negative, keep entire lower triangle.\n * @param numUpper Number of subdiagonals to keep.\n *   If negative, keep entire upper triangle.\n * @returns Rank `k` tensor of the same shape as input.\n *   The extracted banded tensor.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction bandPart_<T extends Tensor>(\n    a: T|TensorLike, numLower: number, numUpper: number): T {\n  if (numLower % 1 !== 0) {\n    throw new Error(\n        `bandPart(): numLower must be an integer, got ${numLower}.`);\n  }\n  if (numUpper % 1 !== 0) {\n    throw new Error(\n        `bandPart(): numUpper must be an integer, got ${numUpper}.`);\n  }\n\n  const $a = convertToTensor(a, 'a', 'bandPart');\n\n  if ($a.rank < 2) {\n    throw new Error(`bandPart(): Rank must be at least 2, got ${$a.rank}.`);\n  }\n\n  const shape = $a.shape, [M, N] = $a.shape.slice(-2);\n\n  if (!(numLower <= M)) {\n    throw new Error(\n        `bandPart(): numLower (${numLower})` +\n        ` must not be greater than the number of rows (${M}).`);\n  }\n  if (!(numUpper <= N)) {\n    throw new Error(\n        `bandPart(): numUpper (${numUpper})` +\n        ` must not be greater than the number of columns (${N}).`);\n  }\n\n  if (numLower < 0) {\n    numLower = M;\n  }\n  if (numUpper < 0) {\n    numUpper = N;\n  }\n\n  const i = range(0, M, 1, 'int32').reshape([-1, 1]),\n        j = range(0, N, 1, 'int32'), ij = sub(i, j);\n\n  const inBand = logicalAnd(\n      ij.lessEqual(scalar(+numLower, 'int32')),\n      ij.greaterEqual(scalar(-numUpper, 'int32')));\n\n  const zero = zeros([M, N], $a.dtype);\n\n  return stack(unstack($a.reshape([-1, M, N]))\n                   .map(mat => where(inBand, mat, zero)))\n             .reshape(shape) as T;\n}\n\n/**\n * Gram-Schmidt orthogonalization.\n *\n * ```js\n * const x = tf.tensor2d([[1, 2], [3, 4]]);\n * let y = tf.linalg.gramSchmidt(x);\n * y.print();\n * console.log('Othogonalized:');\n * y.dot(y.transpose()).print();  // should be nearly the identity matrix.\n * console.log('First row direction maintained:');\n * const data = await y.array();\n * console.log(data[0][1] / data[0][0]);  // should be nearly 2.\n * ```\n *\n * @param xs The vectors to be orthogonalized, in one of the two following\n *   formats:\n *   - An Array of `tf.Tensor1D`.\n *   - A `tf.Tensor2D`, i.e., a matrix, in which case the vectors are the rows\n *     of `xs`.\n *   In each case, all the vectors must have the same length and the length\n *   must be greater than or equal to the number of vectors.\n * @returns The orthogonalized and normalized vectors or matrix.\n *   Orthogonalization means that the vectors or the rows of the matrix\n *   are orthogonal (zero inner products). Normalization means that each\n *   vector or each row of the matrix has an L2 norm that equals `1`.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction gramSchmidt_(xs: Tensor1D[]|Tensor2D): Tensor1D[]|Tensor2D {\n  let inputIsTensor2D: boolean;\n  if (Array.isArray(xs)) {\n    inputIsTensor2D = false;\n    assert(\n        xs != null && xs.length > 0,\n        () => 'Gram-Schmidt process: input must not be null, undefined, or ' +\n            'empty');\n    const dim = xs[0].shape[0];\n    for (let i = 1; i < xs.length; ++i) {\n      assert(\n          xs[i].shape[0] === dim,\n          () =>\n              'Gram-Schmidt: Non-unique lengths found in the input vectors: ' +\n              `(${(xs as Tensor1D[])[i].shape[0]} vs. ${dim})`);\n    }\n  } else {\n    inputIsTensor2D = true;\n    xs = split(xs, xs.shape[0], 0).map(x => squeeze(x, [0]));\n  }\n\n  assert(\n      xs.length <= xs[0].shape[0],\n      () => `Gram-Schmidt: Number of vectors (${\n                (xs as Tensor1D[]).length}) exceeds ` +\n          `number of dimensions (${(xs as Tensor1D[])[0].shape[0]}).`);\n\n  const ys: Tensor1D[] = [];\n  const xs1d = xs;\n  for (let i = 0; i < xs.length; ++i) {\n    ys.push(ENGINE.tidy(() => {\n      let x = xs1d[i];\n      if (i > 0) {\n        for (let j = 0; j < i; ++j) {\n          const proj = sum(ys[j].mulStrict(x)).mul(ys[j]);\n          x = x.sub(proj);\n        }\n      }\n      return x.div(norm(x, 'euclidean'));\n    }));\n  }\n\n  if (inputIsTensor2D) {\n    return stack(ys, 0) as Tensor2D;\n  } else {\n    return ys;\n  }\n}\n\n/**\n * Compute QR decomposition of m-by-n matrix using Householder transformation.\n *\n * Implementation based on\n *   [http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf]\n * (http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf)\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [3, 4]]);\n * let [q, r] = tf.linalg.qr(a);\n * console.log('Q');\n * q.print();\n * console.log('R');\n * r.print();\n * console.log('Orthogonalized');\n * q.dot(q.transpose()).print()  // should be nearly the identity matrix.\n * console.log('Reconstructed');\n * q.dot(r).print(); // should be nearly [[1, 2], [3, 4]];\n * ```\n *\n * @param x The `tf.Tensor` to be QR-decomposed. Must have rank >= 2. Suppose\n *   it has the shape `[..., M, N]`.\n * @param fullMatrices An optional boolean parameter. Defaults to `false`.\n *   If `true`, compute full-sized `Q`. If `false` (the default),\n *   compute only the leading N columns of `Q` and `R`.\n * @returns An `Array` of two `tf.Tensor`s: `[Q, R]`. `Q` is a unitary matrix,\n *   i.e., its columns all have unit norm and are mutually orthogonal.\n *   If `M >= N`,\n *     If `fullMatrices` is `false` (default),\n *       - `Q` has a shape of `[..., M, N]`,\n *       - `R` has a shape of `[..., N, N]`.\n *     If `fullMatrices` is `true` (default),\n *       - `Q` has a shape of `[..., M, M]`,\n *       - `R` has a shape of `[..., M, N]`.\n *   If `M < N`,\n *     - `Q` has a shape of `[..., M, M]`,\n *     - `R` has a shape of `[..., M, N]`.\n * @throws If the rank of `x` is less than 2.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction qr_(x: Tensor, fullMatrices = false): [Tensor, Tensor] {\n  if (x.rank < 2) {\n    throw new Error(\n        `qr() requires input tensor to have a rank >= 2, but got rank ${\n            x.rank}`);\n  } else if (x.rank === 2) {\n    return qr2d(x as Tensor2D, fullMatrices);\n  } else {\n    // Rank > 2.\n    // TODO(cais): Below we split the input into individual 2D tensors,\n    //   perform QR decomposition on them and then stack the results back\n    //   together. We should explore whether this can be parallelized.\n    const outerDimsProd = x.shape.slice(0, x.shape.length - 2)\n                              .reduce((value, prev) => value * prev);\n    const x2ds = unstack(\n        x.reshape([\n          outerDimsProd, x.shape[x.shape.length - 2],\n          x.shape[x.shape.length - 1]\n        ]),\n        0);\n    const q2ds: Tensor2D[] = [];\n    const r2ds: Tensor2D[] = [];\n    x2ds.forEach(x2d => {\n      const [q2d, r2d] = qr2d(x2d as Tensor2D, fullMatrices);\n      q2ds.push(q2d);\n      r2ds.push(r2d);\n    });\n    const q = stack(q2ds, 0).reshape(x.shape);\n    const r = stack(r2ds, 0).reshape(x.shape);\n    return [q, r];\n  }\n}\n\nfunction qr2d(x: Tensor2D, fullMatrices = false): [Tensor2D, Tensor2D] {\n  return ENGINE.tidy(() => {\n    if (x.shape.length !== 2) {\n      throw new Error(\n          `qr2d() requires a 2D Tensor, but got a ${x.shape.length}D Tensor.`);\n    }\n\n    const m = x.shape[0];\n    const n = x.shape[1];\n\n    let q = eye(m);     // Orthogonal transform so far.\n    let r = x.clone();  // Transformed matrix so far.\n\n    const one2D = tensor2d([[1]], [1, 1]);\n    let w: Tensor2D = one2D.clone();\n\n    const iters = m >= n ? n : m;\n    for (let j = 0; j < iters; ++j) {\n      // This tidy within the for-loop ensures we clean up temporary\n      // tensors as soon as they are no longer needed.\n      const rTemp = r;\n      const wTemp = w;\n      const qTemp = q;\n      [w, r, q] = ENGINE.tidy((): [Tensor2D, Tensor2D, Tensor2D] => {\n        // Find H = I - tau * w * w', to put zeros below R(j, j).\n        const rjEnd1 = r.slice([j, j], [m - j, 1]);\n        const normX = rjEnd1.norm();\n        const rjj = r.slice([j, j], [1, 1]);\n\n        // The sign() function returns 0 on 0, which causes division by zero.\n        const s = tensor2d([[-1]]).where(rjj.greater(0), tensor2d([[1]]));\n\n        const u1 = rjj.sub(s.mul(normX));\n        const wPre = rjEnd1.div(u1);\n        if (wPre.shape[0] === 1) {\n          w = one2D.clone();\n        } else {\n          w = one2D.concat(\n              wPre.slice([1, 0], [wPre.shape[0] - 1, wPre.shape[1]]) as\n                  Tensor2D,\n              0);\n        }\n        const tau = s.matMul(u1).div(normX).neg() as Tensor2D;\n\n        // -- R := HR, Q := QH.\n        const rjEndAll = r.slice([j, 0], [m - j, n]);\n        const tauTimesW: Tensor2D = tau.mul(w);\n        const wT: Tensor2D = w.transpose();\n        if (j === 0) {\n          r = rjEndAll.sub(tauTimesW.matMul(wT.matMul(rjEndAll)));\n        } else {\n          const rTimesTau: Tensor2D =\n              rjEndAll.sub(tauTimesW.matMul(wT.matMul(rjEndAll)));\n          r = r.slice([0, 0], [j, n]).concat(rTimesTau, 0);\n        }\n        const tawTimesWT: Tensor2D = tauTimesW.transpose();\n        const qAllJEnd = q.slice([0, j], [m, q.shape[1] - j]);\n        if (j === 0) {\n          q = qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tawTimesWT));\n        } else {\n          const qTimesTau: Tensor2D =\n              qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tawTimesWT));\n          q = q.slice([0, 0], [m, j]).concat(qTimesTau, 1);\n        }\n        return [w, r, q];\n      });\n      dispose([rTemp, wTemp, qTemp]);\n    }\n\n    if (!fullMatrices && m > n) {\n      q = q.slice([0, 0], [m, n]);\n      r = r.slice([0, 0], [n, n]);\n    }\n\n    return [q, r];\n  }) as [Tensor2D, Tensor2D];\n}\n\nexport const bandPart = op({bandPart_});\nexport const gramSchmidt = op({gramSchmidt_});\nexport const qr = op({qr_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {nonMaxSuppressionV3, nonMaxSuppressionV5} from '../backends/non_max_suppression_impl';\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Bilinear resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeBilinear_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeBilinear');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeBilinear: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () => `Error in resizeBilinear: new shape must 2D, but got shape ` +\n          `${size}.`);\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n\n  const [newHeight, newWidth] = size;\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeBilinear(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      x: () => ENGINE.runKernelFunc(\n          backend => backend.resizeBilinearBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(\n      forward, {x: batchImages}, backward, 'ResizeBilinear',\n      {alignCorners, newHeight, newWidth});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * NearestNeighbor resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeNearestNeighbor_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeNearestNeighbor');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeNearestNeighbor: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () =>\n          `Error in resizeNearestNeighbor: new shape must 2D, but got shape ` +\n          `${size}.`);\n  util.assert(\n      $images.dtype === 'float32' || $images.dtype === 'int32',\n      () => '`images` must have `int32` or `float32` as dtype');\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n  const [newHeight, newWidth] = size;\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeNearestNeighbor(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      batchImages: () => ENGINE.runKernelFunc(\n          backend => backend.resizeNearestNeighborBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(forward, {batchImages}, backward);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @return A 1D tensor with the selected box indices.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppression_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Tensor1D {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold};\n  return ENGINE.runKernelFunc(\n      b => b.nonMaxSuppression(\n          $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold),\n      {boxes: $boxes, scores: $scores}, null /* grad */, 'NonMaxSuppressionV3',\n      attrs);\n}\n\n/** This is the async version of `nonMaxSuppression` */\nasync function nonMaxSuppressionAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Promise<Tensor1D> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV3(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * This op also supports a Soft-NMS mode (c.f.\n * Bodla et al, https://arxiv.org/abs/1704.04503) where boxes reduce the score\n * of other overlapping boxes, therefore favoring different regions of the image\n * with high scores. To enable this Soft-NMS mode, set the `softNmsSigma`\n * parameter to be larger than 0.\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @param softNmsSigma A float representing the sigma parameter for Soft NMS.\n *     When sigma is 0, it falls back to nonMaxSuppression.\n * @return A map with the following properties:\n *     - selectedIndices: A 1D tensor with the selected box indices.\n *     - selectedScores: A 1D tensor with the corresponding scores for each\n *       selected box.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppressionWithScore_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): NamedTensorMap {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n\n  const result = ENGINE.runKernel(\n                     'NonMaxSuppressionV5', {boxes: $boxes, scores: $scores},\n                     attrs) as Tensor[];\n\n  return {selectedIndices: result[0], selectedScores: result[1]};\n}\n\n/** This is the async version of `nonMaxSuppressionWithScore` */\nasync function nonMaxSuppressionWithScoreAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): Promise<NamedTensorMap> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV5(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\nfunction nonMaxSuppSanityCheck(\n    boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma?: number): {\n  maxOutputSize: number,\n  iouThreshold: number,\n  scoreThreshold: number,\n  softNmsSigma: number\n} {\n  if (iouThreshold == null) {\n    iouThreshold = 0.5;\n  }\n  if (scoreThreshold == null) {\n    scoreThreshold = Number.NEGATIVE_INFINITY;\n  }\n  if (softNmsSigma == null) {\n    softNmsSigma = 0.0;\n  }\n\n  const numBoxes = boxes.shape[0];\n  maxOutputSize = Math.min(maxOutputSize, numBoxes);\n\n  util.assert(\n      0 <= iouThreshold && iouThreshold <= 1,\n      () => `iouThreshold must be in [0, 1], but was '${iouThreshold}'`);\n  util.assert(\n      boxes.rank === 2,\n      () => `boxes must be a 2D tensor, but was of rank '${boxes.rank}'`);\n  util.assert(\n      boxes.shape[1] === 4,\n      () =>\n          `boxes must have 4 columns, but 2nd dimension was ${boxes.shape[1]}`);\n  util.assert(scores.rank === 1, () => 'scores must be a 1D tensor');\n  util.assert(\n      scores.shape[0] === numBoxes,\n      () => `scores has incompatible shape with boxes. Expected ${numBoxes}, ` +\n          `but was ${scores.shape[0]}`);\n  util.assert(\n      0 <= softNmsSigma && softNmsSigma <= 1,\n      () => `softNmsSigma must be in [0, 1], but was '${softNmsSigma}'`);\n  return {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n}\n\n/**\n * Extracts crops from the input image tensor and resizes them using bilinear\n * sampling or nearest neighbor sampling (possibly with aspect ratio change)\n * to a common output size specified by crop_size.\n *\n * @param image 4d tensor of shape `[batch,imageHeight,imageWidth, depth]`,\n *     where imageHeight and imageWidth must be positive, specifying the\n *     batch of images from which to take crops\n * @param boxes 2d float32 tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the normalized\n *     coordinates of the box in the boxInd[i]'th image in the batch\n * @param boxInd 1d int32 tensor of shape `[numBoxes]` with values in range\n *     `[0, batch)` that specifies the image that the `i`-th box refers to.\n * @param cropSize 1d int32 tensor of 2 elements `[cropHeigh, cropWidth]`\n *     specifying the size to which all crops are resized to.\n * @param method Optional string from `'bilinear' | 'nearest'`,\n *     defaults to bilinear, which specifies the sampling method for resizing\n * @param extrapolationValue A threshold for deciding when to remove boxes based\n *     on score. Defaults to 0.\n * @return A 4D tensor of the shape `[numBoxes,cropHeight,cropWidth,depth]`\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction cropAndResize_(\n    image: Tensor4D|TensorLike,\n    boxes: Tensor2D|TensorLike,\n    boxInd: Tensor1D|TensorLike,\n    cropSize: [number, number],\n    method?: 'bilinear'|'nearest',\n    extrapolationValue?: number,\n    ): Tensor4D {\n  const $image = convertToTensor(image, 'image', 'cropAndResize');\n  const $boxes = convertToTensor(boxes, 'boxes', 'cropAndResize', 'float32');\n  const $boxInd = convertToTensor(boxInd, 'boxInd', 'cropAndResize', 'int32');\n  method = method || 'bilinear';\n  extrapolationValue = extrapolationValue || 0;\n\n  const numBoxes = $boxes.shape[0];\n\n  util.assert(\n      $image.rank === 4,\n      () => 'Error in cropAndResize: image must be rank 4,' +\n          `but got rank ${$image.rank}.`);\n  util.assert(\n      $boxes.rank === 2 && $boxes.shape[1] === 4,\n      () => `Error in cropAndResize: boxes must be have size [${numBoxes},4] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      $boxInd.rank === 1 && $boxInd.shape[0] === numBoxes,\n      () => `Error in cropAndResize: boxInd must be have size [${numBoxes}] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      cropSize.length === 2,\n      () => `Error in cropAndResize: cropSize must be of length 2, but got ` +\n          `length ${cropSize.length}.`);\n  util.assert(\n      cropSize[0] >= 1 && cropSize[1] >= 1,\n      () => `cropSize must be atleast [1,1], but was ${cropSize}`);\n  util.assert(\n      method === 'bilinear' || method === 'nearest',\n      () => `method must be bilinear or nearest, but was ${method}`);\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) =>\n      backend.cropAndResize(\n          $image, $boxes, $boxInd, cropSize, method, extrapolationValue);\n\n  const res = ENGINE.runKernelFunc(\n      forward, {images: $image, boxes: $boxes, boxInd: $boxInd}, null /* der */,\n      'CropAndResize', {method, extrapolationValue, cropSize});\n  return res;\n}\n\nexport const resizeBilinear = op({resizeBilinear_});\nexport const resizeNearestNeighbor = op({resizeNearestNeighbor_});\nexport const nonMaxSuppression = op({nonMaxSuppression_});\nexport const nonMaxSuppressionAsync = nonMaxSuppressionAsync_;\nexport const nonMaxSuppressionWithScore = op({nonMaxSuppressionWithScore_});\nexport const nonMaxSuppressionWithScoreAsync = nonMaxSuppressionWithScoreAsync_;\nexport const cropAndResize = op({cropAndResize_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\n\nimport {Conv2DInfo} from './conv_util';\n\nexport type Activation = 'linear'|'relu'|'prelu'|'elu'|'relu6';\n\nexport type FusedBatchMatMulConfig = {\n  a: Tensor3D,\n  b: Tensor3D,\n  transposeA: boolean,\n  transposeB: boolean,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\nexport type FusedConv2DConfig = {\n  input: Tensor4D,\n  filter: Tensor4D,\n  convInfo: Conv2DInfo,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\n// Whether we should call fused ops.\nexport const shouldFuse = (gradientDepth: number, activation: Activation) => {\n  const gradientMode = gradientDepth > 0;\n  return !gradientMode || activation === 'linear';\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {conv2dDerFilter, conv2dDerInput, depthwiseConv2dDerFilter, depthwiseConv2dDerInput} from '../ops/conv';\nimport * as conv_util from '../ops/conv_util';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './add';\nimport * as broadcast_util from './broadcast_util';\nimport {conv2d as unfusedConv2d, depthwiseConv2d as unfusedDepthwiseConv2d} from './conv';\nimport {Activation, shouldFuse} from './fused_util';\nimport {matMul as unfusedMatMul} from './matmul';\nimport {elu, prelu, relu, relu6} from './relu_ops';\n\n// Returns gradient for fused activation.\nconst getFusedDyActivation =\n    (dy: Tensor, y: Tensor, activation: Activation): Tensor => {\n      if (activation == null || activation === 'linear') {\n        return dy;\n      }\n      if (activation === 'relu') {\n        return dy.mul(y.step());\n      }\n      throw new Error(\n          `Gradient for activation ${activation} has not been ` +\n          `implemented yet.`);\n    };\n\n// Returns gradient for fused bias.\nconst getFusedBiasGradient = (bias: Tensor, dyActivation: Tensor): Tensor => {\n  let res = dyActivation;\n  const reduceAxes =\n      broadcast_util.getReductionAxes(bias.shape, dyActivation.shape);\n  if (reduceAxes.length > 0) {\n    res = res.sum(reduceAxes);\n  }\n  return res.reshape(bias.shape);\n};\n\nconst applyActivation =\n    (x: Tensor, activation: Activation, preluActivationWeights?: Tensor):\n        Tensor => {\n          if (activation === 'linear') {\n            return x;\n          } else if (activation === 'relu') {\n            return relu(x);\n          } else if (activation === 'elu') {\n            return elu(x);\n          } else if (activation === 'relu6') {\n            return relu6(x);\n          } else if (activation === 'prelu') {\n            return prelu(x, preluActivationWeights);\n          }\n          throw new Error(`Unknown fused activation ${activation}.`);\n        };\n\n/**\n * Computes the dot product of two matrices with optional activation and bias.\n *\n * ```js\n * const a = tf.tensor2d([-1, -2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const bias = tf.tensor2d([1, 2], [1, 2]);\n *\n * tf.fused.matMul({a, b, bias, activation: 'relu'}).print();\n * ```\n *\n * @param obj An object with the following properties:\n * - `a` First matrix in dot product operation.\n * - `b` Second matrix in dot product operation.\n * - `transposeA` If true, `a` is transposed before multiplication.\n * - `transposeB` If true, `b` is transposed before multiplication.\n * - `bias` Matrix to be added to the result.\n * - `activation` Name of activation kernel (defaults to `linear`).\n * - `preluActivationWeights` Tensor of prelu weights.\n */\nfunction fusedMatMul_<T extends Tensor>({\n  a,\n  b,\n  transposeA = false,\n  transposeB = false,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  a: T|TensorLike,\n  b: T|TensorLike,\n  transposeA?: boolean,\n  transposeB?: boolean,\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedMatMul(a, b, transposeA, transposeB);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  let $a = convertToTensor(a, 'a', 'fused matMul');\n  let $b = convertToTensor(b, 'b', 'fused matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () =>\n          `Error in fused matMul: inputs must have the same rank of at least ` +\n          `2, got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in fused matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused matMul');\n    [$bias] = makeTypesMatch($bias, $a);\n\n    broadcast_util.assertAndGetBroadcastShape(outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused matMul');\n  }\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D, y] = saved;\n    const dyActivation = getFusedDyActivation(dy, y, activation);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    if (!transposeA && !transposeB) {\n      return Object.assign(\n          {\n            a: () => dyActivation.matMul(b3D as Tensor3D, false, true),\n            b: () => a3D.matMul(dyActivation, true, false)\n          },\n          biasGradient);\n    } else if (!transposeA && transposeB) {\n      return Object.assign(\n          {\n            a: () => dyActivation.matMul(b3D as Tensor3D, false, false),\n            b: () => dyActivation.matMul(a3D as Tensor3D, true, false)\n          },\n          biasGradient);\n    } else if (transposeA && !transposeB) {\n      return Object.assign(\n          {\n            a: () => b3D.matMul(dyActivation, false, true),\n            b: () => a3D.matMul(dyActivation, false, false)\n          },\n          biasGradient);\n    } else {\n      return Object.assign(\n          {\n            a: () => b3D.matMul(dyActivation, true, true),\n            b: () => dyActivation.matMul(a3D as Tensor3D, true, true)\n          },\n          biasGradient);\n    }\n  };\n\n  const inputs:\n      {a: Tensor, b: Tensor,\n       bias?: Tensor,\n       preluActivationWeights?: Tensor} = {a: a3D, b: b3D};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [a3D, b3D];\n  const outputsToSave = [true];\n\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.fusedBatchMatMul({\n          a: a3D,\n          b: b3D,\n          transposeA,\n          transposeB,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([a3D, b3D, y]);\n        return y;\n      },\n      inputs, grad, '_FusedMatMul', {transposeA, transposeB, activation},\n      inputsToSave, outputsToSave);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x, optionally fused with adding a\n * bias and applying an activation.\n *\n * ```js\n * const inputDepth = 2;\n * const inShape = [2, 2, 2, inputDepth];\n * const outputDepth = 2;\n * const fSize = 1;\n * const pad = 0;\n * const strides = 1;\n *\n * const x = tf.tensor4d( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n * 16], inShape);\n * const w = tf.tensor4d([-1, 1, -2, 0.5], [fSize, fSize, inputDepth,\n * outputDepth]);\n *\n * tf.fused.conv2d({ x, filter: w, strides, pad, dataFormat: 'NHWC',\n * dilations: [1, 1], bias: tf.scalar(5), activation: 'relu' }).print();\n * ```\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid` output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`) to be\n *     applied\n *      after biasAdd.\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  activation = activation || 'linear';\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused conv2d: input must be rank 4, but got rank ` +\n          `${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${x4D.shape[3]}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NHWC',\n      () => `Error in conv2d: got dataFormat of ${\n          dataFormat} but only NHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused conv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D, y] = saved as [Tensor4D, Tensor4D, Tensor4D];\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused conv2D: ' +\n            `dilation rates greater than 1 ` +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () =>\n              conv2dDerInput(x4D.shape, dyActivation, $filter, strides, pad),\n          filter: () =>\n              conv2dDerFilter(x4D, dyActivation, $filter.shape, strides, pad)\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];  // Save the only output.\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedConv2d({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedConv2D', {convInfo, activation}, inputsToSave,\n      outputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes depthwise 2D convolution, optionally fused with adding a\n * bias and applying an activation.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`).\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedDepthwiseConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedDepthwiseConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused depthwiseConv2d: filter must be rank 4, ` +\n          `but got rank ${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in fused depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in fused depthwiseConv2d: Either strides or dilations must ' +\n          `be 1. Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused depthwiseConv2d: pad must be an integer when ` +\n            `using dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused depthwiseConv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [$filter, x4D, y] = saved;\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () => depthwiseConv2dDerInput(\n              (x4D as Tensor4D).shape, dyActivation, $filter as Tensor4D,\n              convInfo),\n          filter: () => depthwiseConv2dDerFilter(\n              x4D as Tensor4D, dyActivation, ($filter as Tensor4D).shape,\n              convInfo),\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedDepthwiseConv2D({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedDepthwiseConv2D', {convInfo, activation},\n      inputsToSave, outputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nexport const matMul = op({fusedMatMul_});\nexport const conv2d = op({fusedConv2d_});\nexport const depthwiseConv2d = op({fusedDepthwiseConv2d_});\n\nexport {Activation};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../kernel_registry';\nimport {assert} from '../../util';\n\nexport function assertNotComplex(\n    tensor: TensorInfo|TensorInfo[], opName: string): void {\n  if (!Array.isArray(tensor)) {\n    tensor = [tensor];\n  }\n  tensor.forEach(t => {\n    if (t != null) {\n      assert(\n          t.dtype !== 'complex64',\n          () => `${opName} does not support complex64 tensors.`);\n    }\n  });\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as ops from '../../ops/ops';\nimport {buffer} from '../../ops/ops';\nimport {TensorBuffer} from '../../tensor';\nimport {DataType, Rank, TypedArray} from '../../types';\n\nexport function pool(\n    xValues: TypedArray, xShape: number[], dtype: DataType, strides: number[],\n    convInfo: Conv2DInfo, poolType: 'max'|'avg'): TensorBuffer<Rank, DataType> {\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padTop = convInfo.padInfo.top;\n  const padLeft = convInfo.padInfo.left;\n\n  const initialValue =\n      (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                            Number.POSITIVE_INFINITY);\n\n  const output = ops.buffer(convInfo.outShape, dtype);\n  const outputVals = output.values;\n\n  const outputBatchStrides =\n      convInfo.outShape[1] * convInfo.outShape[2] * convInfo.outShape[3];\n  const outputRowStrides = convInfo.outShape[2] * convInfo.outShape[3];\n  const outputColStrides = convInfo.outShape[3];\n\n  for (let b = 0; b < convInfo.batchSize; ++b) {\n    const outputBatchOffset = b * outputBatchStrides;\n    const inputBatchOffset = b * strides[0];\n    for (let d = 0; d < convInfo.inChannels; ++d) {\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const xRCorner = yR * strideHeight - padTop;\n        const xRMin = Math.max(0, xRCorner);\n        const xRMax =\n            Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n        const outputRowOffset = outputBatchOffset + yR * outputRowStrides;\n        for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n          const xCCorner = yC * strideWidth - padLeft;\n          const xCMin = Math.max(0, xCCorner);\n          const xCMax =\n              Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n          let minMaxValue = initialValue;\n          let avgValue = 0;\n          let count = 0;\n          for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n            const xROffset = inputBatchOffset + xR * strides[1];\n            for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n              const xCOffset = xROffset + xC * strides[2];\n              const pixel = xValues[xCOffset + d];\n              if ((poolType === 'max' && pixel > minMaxValue)) {\n                minMaxValue = pixel;\n              } else if (poolType === 'avg') {\n                avgValue += pixel;\n                count++;\n              }\n            }\n            if (isNaN(minMaxValue)) {\n              break;\n            }\n          }\n          const outputOffset = outputRowOffset + yC * outputColStrides + d;\n          outputVals[outputOffset] =\n              poolType === 'avg' ? avgValue / count : minMaxValue;\n        }\n      }\n    }\n  }\n  return output;\n}\n\nexport function maxPoolPositions(\n    xValues: TypedArray, xShape: number[], dtype: DataType,\n    convInfo: Conv2DInfo, flattenPositions = false,\n    includeBatchInIndex = false): TensorBuffer<Rank, 'int32'> {\n  const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padTop = convInfo.padInfo.top;\n  const padLeft = convInfo.padInfo.left;\n\n  const xBuf = buffer(xShape, dtype, xValues);\n  for (let b = 0; b < convInfo.batchSize; ++b) {\n    for (let d = 0; d < convInfo.inChannels; ++d) {\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const xRCorner = yR * strideHeight - padTop;\n        let xRMin = xRCorner;\n        while (xRMin < 0) {\n          xRMin += dilationHeight;\n        }\n        // const xRMin = Math.max(0, xRCorner);\n        const xRMax =\n            Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n        for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n          const xCCorner = yC * strideWidth - padLeft;\n          let xCMin = xCCorner;\n          while (xCMin < 0) {\n            xCMin += dilationWidth;\n          }\n          const xCMax =\n              Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n          let maxValue = Number.NEGATIVE_INFINITY;\n          let maxPosition = -1;\n\n          for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n            const wR = xR - xRCorner;\n            for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n              const wC = xC - xCCorner;\n              const pixel = xBuf.get(b, xR, xC, d);\n              if (pixel > maxValue) {\n                maxValue = pixel as number;\n                if (flattenPositions) {\n                  maxPosition = includeBatchInIndex ?\n                      ((b * convInfo.inHeight + xR) * convInfo.inWidth + xC) *\n                              convInfo.inChannels +\n                          d :\n                      (xR * convInfo.inWidth + xC) * convInfo.inChannels + d;\n                } else {\n                  maxPosition = wR * effectiveFilterWidth + wC;\n                }\n              }\n            }\n          }\n          maxPositions.set(maxPosition, b, yR, yC, d);\n        }\n      }\n    }\n  }\n  return maxPositions;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {ENGINE} from '../../engine';\nimport {env} from '../../environment';\nimport {warn} from '../../log';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport * as concat_util from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {div} from '../../ops/div';\nimport * as erf_util from '../../ops/erf_util';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as ops from '../../ops/ops';\nimport {buffer, scalar, tensor, tensor4d} from '../../ops/ops';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as selu_util from '../../ops/selu_util';\nimport {computeFlatOffset, computeOutShape, isSliceContinous} from '../../ops/slice_util';\nimport {transpose} from '../../ops/transpose';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer} from '../../tensor';\nimport {BackendValues, DataType, DataValues, NumericDataType, Rank, ShapeMap, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, inferDtype, now, sizeFromShape} from '../../util';\nimport {BackendTimingInfo, DataStorage, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport * as complex_util from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {assertNotComplex} from './cpu_util';\nimport {maxPoolPositions, pool} from './pool_utils';\n\nfunction mapActivation(\n    backend: MathBackendCPU, x: Tensor, activation: Activation,\n    preluActivationWeights?: Tensor): Tensor {\n  if (activation === 'linear') {\n    return backend.linear(x);\n  } else if (activation === 'relu') {\n    return backend.relu(x);\n  } else if (activation === 'elu') {\n    return backend.elu(x);\n  } else if (activation === 'relu6') {\n    return backend.relu6(x);\n  } else if (activation === 'prelu') {\n    return backend.prelu(x, preluActivationWeights);\n  }\n  throw new Error(\n      `Activation ${activation} has not been implemented for the CPU backend.`);\n}\n\nexport interface TensorData<D extends DataType> {\n  values?: BackendValues;\n  dtype: D;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field.\n  // TODO(smilkov): Replace Tensor with TensorInfo when you modularize ops\n  // that work with complex tensors.\n  complexTensors?: {real: Tensor, imag: Tensor};\n}\n\nexport class MathBackendCPU extends KernelBackend {\n  public blockSize = 48;\n\n  data: DataStorage<TensorData<DataType>>;\n  private firstUse = true;\n\n  constructor() {\n    super();\n    this.data = new DataStorage(this, ENGINE);\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (this.firstUse) {\n      this.firstUse = false;\n      if (env().get('IS_NODE')) {\n        warn(\n            '\\n============================\\n' +\n            'Hi there 👋. Looks like you are running TensorFlow.js in ' +\n            'Node.js. To speed things up dramatically, install our node ' +\n            'backend, which binds to TensorFlow C++, by running ' +\n            'npm i @tensorflow/tfjs-node, ' +\n            'or npm i @tensorflow/tfjs-node-gpu if you have CUDA. ' +\n            'Then call require(\\'@tensorflow/tfjs-node\\'); (-gpu ' +\n            'suffix for CUDA) at the start of your program. ' +\n            'Visit https://github.com/tensorflow/tfjs-node for more details.' +\n            '\\n============================');\n      }\n    }\n    const dataId = {};\n    this.data.set(dataId, {values, dtype});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    this.data.set(dataId, {values, dtype});\n  }\n\n  numDataIds(): number {\n    return this.data.numDataIds();\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    return this.readSync(dataId);\n  }\n  readSync(dataId: DataId): BackendValues {\n    const {dtype, complexTensors} = this.data.get(dataId);\n    if (dtype === 'complex64') {\n      const realValues =\n          this.readSync(complexTensors.real.dataId) as Float32Array;\n      const imagValues =\n          this.readSync(complexTensors.imag.dataId) as Float32Array;\n      return complex_util.mergeRealAndImagArrays(realValues, imagValues);\n    }\n    return this.data.get(dataId).values;\n  }\n\n  private bufferSync<R extends Rank>(t: Tensor<R>): TensorBuffer<R> {\n    const data = this.readSync(t.dataId);\n    let decodedData = data as DataValues;\n    if (t.dtype === 'string') {\n      try {\n        // Decode the bytes into string.\n        decodedData = (data as Uint8Array[]).map(d => util.decodeString(d));\n      } catch {\n        throw new Error('Failed to decode encoded string bytes into utf-8');\n      }\n    }\n    return buffer(t.shape, t.dtype, decodedData) as TensorBuffer<R>;\n  }\n\n  private makeOutput<T extends Tensor>(\n      values: BackendValues, shape: number[], dtype: DataType): T {\n    const dataId = this.write(values, shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  disposeData(dataId: DataId): void {\n    if (this.data.has(dataId)) {\n      const {complexTensors} = this.data.get(dataId);\n      if (complexTensors != null) {\n        complexTensors.real.dispose();\n        complexTensors.imag.dispose();\n      }\n      this.data.delete(dataId);\n    }\n  }\n\n  async time(f: () => void): Promise<BackendTimingInfo> {\n    const start = now();\n    f();\n    const kernelMs = now() - start;\n    return {kernelMs};\n  }\n\n  memory() {\n    return {\n      // Unreliable due to automatic gc. The numbers above are cumulative.\n      unreliable: true,\n      reasons:\n          ['The reported memory is an upper bound. Due to automatic garbage ' +\n           'collection, the true allocated memory may be less.']\n    };\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(null, real.shape, 'complex64');\n\n    const resultData = this.data.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    assertNotComplex(x, 'slice');\n\n    const isContinous = isSliceContinous(x.shape, begin, size);\n    if (isContinous) {\n      const flatOffset = computeFlatOffset(begin, x.strides);\n      const length = util.sizeFromShape(size);\n      const vals = this.readSync(x.dataId) as TypedArray;\n      return tensor(\n                 vals.subarray(flatOffset, flatOffset + length), size,\n                 x.dtype) as T;\n    }\n\n    const buffer = ops.buffer(size, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; ++i) {\n      const loc = buffer.indexToLoc(i);\n      const xLoc = loc.map((idx, j) => idx + begin[j]);\n      buffer.values[i] = xBuf.get(...xLoc);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    assertNotComplex(x, 'stridedSlice');\n\n    const outShape = computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return ops.tensor([], outShape) as T;\n    }\n\n    const buffer = ops.buffer(outShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; i++) {\n      const loc = buffer.indexToLoc(i);\n\n      const newLoc: number[] = new Array(loc.length);\n      for (let j = 0; j < newLoc.length; j++) {\n        newLoc[j] = loc[j] * strides[j] + begin[j];\n      }\n      buffer.set(xBuf.get(...newLoc), ...loc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  diag(x: Tensor): Tensor {\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const buffer = ops.buffer([x.size, x.size], x.dtype);\n    const vals = buffer.values;\n    for (let i = 0; i < xVals.length; i++) {\n      vals[i * x.size + i] = xVals[i];\n    }\n    return buffer.toTensor();\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    assertNotComplex(x, 'reverse');\n\n    const buffer = ops.buffer(x.shape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < buffer.size; i++) {\n      const outLoc = buffer.indexToLoc(i);\n      const inLoc = outLoc.slice();\n      axis.forEach(ax => inLoc[ax] = x.shape[ax] - 1 - inLoc[ax]);\n      buffer.set(xBuf.get(...inLoc), ...outLoc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    const tensors2D = tensors.map(t => {\n      const innerSize = util.sizeFromShape(t.shape.slice(axis));\n      return t.as2D(-1, innerSize);\n    });\n    const outShape =\n        concat_util.computeOutShape(tensors2D.map(t => t.shape), 1 /* axis */);\n    const values =\n        ops.buffer(outShape as [number, number], tensors[0].dtype as 'float32')\n            .values;\n    if (tensors2D[0].shape[0] === 1) {\n      // Use built-in TypedArray.set() method for speed.\n      let offset = 0;\n      tensors2D.forEach(t => {\n        values.set(this.readSync(t.dataId) as TypedArray, offset);\n        offset += t.size;\n      });\n    } else {\n      let colOffset = 0;\n      tensors2D.forEach(t => {\n        const tVals = this.readSync(t.dataId) as TypedArray;\n        let tIdx = 0;\n        for (let row = 0; row < t.shape[0]; ++row) {\n          const resIdx = row * outShape[1] + colOffset;\n          for (let col = 0; col < t.shape[1]; ++col) {\n            values[resIdx + col] = tVals[tIdx++];\n          }\n        }\n        colOffset += t.shape[1];\n      });\n    }\n    const finalOutShape =\n        concat_util.computeOutShape(tensors.map(t => t.shape), axis);\n    return tensor(values, finalOutShape, tensors[0].dtype);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'neg');\n\n    return this.multiply(ops.scalar(-1), x) as T;\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal + bReal, imag: aImag + bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue + bValue);\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    assertNotComplex(tensors, 'addN');\n\n    const vals = tensors.map(t => this.readSync(t.dataId) as TypedArray);\n    const result = ops.buffer(tensors[0].shape, tensors[0].dtype as 'float32');\n    const resultVals = result.values;\n    for (let i = 0; i < tensors.length; i++) {\n      const currVals = vals[i];\n      for (let j = 0; j < resultVals.length; j++) {\n        resultVals[j] += currVals[j];\n      }\n    }\n    return result.toTensor() as T;\n  }\n\n  softmax<T extends Tensor>(logits: T, dim: number): T {\n    const axes = util.parseAxisParam([dim], logits.shape);\n    const maxLogit = this.max(logits, axes);\n    const expandedShape = axis_util.expandShapeToKeepDim(maxLogit.shape, axes);\n    const a = this.subtract(logits, maxLogit.reshape(expandedShape));\n    const b = this.exp(a);\n    const sumExp = this.sum(b, axes).reshape(expandedShape);\n\n    // TODO(annxingyuan): Call divImpl rather than op as part of softmax kernel\n    // modularization.\n    return div(b, sumExp);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal - bReal, imag: aImag - bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue - bValue);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    assertNotComplex([a, b], 'pow');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.pow(aValue, bValue)) as\n        T;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    assertNotComplex([a, b], 'matMul');\n\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const leftDim = transposeA ? a.shape[2] : a.shape[1];\n    const rightDim = transposeB ? b.shape[1] : b.shape[2];\n    const batchDim = a.shape[0];\n\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const [aBatch, aOuterStep, aInnerStep] = transposeA ?\n        [a.strides[0], 1, a.strides[1]] :\n        [a.strides[0], a.strides[1], 1];\n    const [bInnerStep, bOuterStep, bBatch] = transposeB ?\n        [1, b.strides[1], b.strides[0]] :\n        [b.strides[1], 1, b.strides[0]];\n\n    const size = leftDim * rightDim;\n    const result = buffer([batchDim, leftDim, rightDim], a.dtype);\n    const resVals = result.values as TypedArray;\n    const blockSize = this.blockSize;\n\n    for (let b = 0; b < batchDim; b++) {\n      for (let i0 = 0; i0 < leftDim; i0 += blockSize) {\n        for (let j0 = 0; j0 < rightDim; j0 += blockSize) {\n          for (let k0 = 0; k0 < sharedDim; k0 += blockSize) {\n            // for when blockSize doesn't evenly divide the input\n            const iBlock = Math.min(i0 + blockSize, leftDim);\n            const jBlock = Math.min(j0 + blockSize, rightDim);\n            const kBlock = Math.min(k0 + blockSize, sharedDim);\n\n            for (let i = i0; i < iBlock; i++) {\n              for (let j = j0; j < jBlock; j++) {\n                let sum = 0.0;\n\n                for (let k = k0; k < kBlock; k++) {\n                  sum += aValues[b * aBatch + i * aOuterStep + k * aInnerStep] *\n                      bValues[k * bInnerStep + j * bOuterStep + b * bBatch];\n                }\n                resVals[b * size + (i * rightDim + j)] += sum;\n              }\n            }\n          }\n        }\n      }\n    }\n    return result.toTensor() as Tensor3D;\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    let result = this.batchMatMul(a, b, transposeA, transposeB);\n    if (bias) {\n      result = this.add(result, bias) as Tensor3D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor3D;\n    }\n    return result;\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {\n              real: aReal * bReal - aImag * bImag,\n              imag: aReal * bImag + aImag * bReal\n            };\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue * bValue);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'floorDiv');\n\n    const op = (a: number, b: number) => Math.floor(a / b);\n    const outputDtype = 'int32';\n    return this.broadcastedBinaryOp(a, b, outputDtype, op);\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let sum = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        sum += aVals[offset + j];\n      }\n      vals[i] = sum;\n    }\n    return result;\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let prod = 1;\n      for (let j = 0; j < reduceSize; ++j) {\n        prod *= aVals[offset + j];\n      }\n      vals[i] = prod;\n    }\n    return result;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    assertNotComplex(x, 'unsortedSegmentSum');\n\n    const res = [];\n\n    // Reshape the segment id's so that they can be broadcast with\n    // x. The new shape should be [segmentIds.shape, 1, ..., 1]\n    const numIters = x.rank - segmentIds.rank;\n    for (let i = 0; i < numIters; ++i) {\n      segmentIds = segmentIds.expandDims(i + 1);\n    }\n\n    for (let i = 0; i < numSegments; ++i) {\n      const segmentId = ops.scalar(i, 'int32');\n      const mask = ops.equal(segmentId, segmentIds).asType('float32');\n      const sum = mask.mul(x).sum(0);\n      res.push(sum);\n    }\n\n    return ops.stack(res);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMin');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMin', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      let minIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n          minIndex = j;\n        }\n      }\n      vals[i] = minIndex;\n    }\n    return result;\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMax');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMax', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      let maxIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n          maxIndex = j;\n        }\n      }\n      vals[i] = maxIndex;\n    }\n    return result;\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    assertNotComplex(x, 'cumsum');\n\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `backend.cumsum in CPU expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(x.shape, resultDtype);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    const finalDim = x.shape[x.rank - 1];\n    const indexAdjuster = reverse ?\n        (i: number, j: number) => i + finalDim - j - 1 :\n        (i: number, j: number) => i + j;\n    for (let i = 0; i < aVals.length; i += finalDim) {\n      for (let j = 0; j < finalDim; j++) {\n        const idx = indexAdjuster(i, j);\n        if (j === 0) {\n          vals[idx] = exclusive ? 0 : aVals[idx];\n        } else {\n          const prevIdx = indexAdjuster(i, j - 1);\n          vals[idx] = exclusive ? aVals[prevIdx] + vals[prevIdx] :\n                                  aVals[idx] + vals[prevIdx];\n        }\n      }\n    }\n    return result;\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'equal');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal === bVal) ? 1 : 0;\n    });\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'notEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal !== bVal) ? 1 : 0;\n    });\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'less');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal < bVal) ? 1 : 0;\n    });\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'lessEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal <= bVal) ? 1 : 0;\n    });\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greater');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal > bVal) ? 1 : 0;\n    });\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greaterEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal >= bVal) ? 1 : 0;\n    });\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'logicalNot');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = values[i] ? 0 : 1;\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalAnd');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal && bVal;\n    });\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalOr');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal || bVal;\n    });\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([condition, a, b], 'select');\n\n    const values = this.readSync(condition.dataId) as TypedArray;\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const result = ops.zeros(a.shape, upcastType(a.dtype, b.dtype));\n    const newValues = this.readSync(result.dataId) as TypedArray;\n    let index = 0;\n    const offset = condition.rank === 0 || condition.rank > 1 || a.rank === 1 ?\n        1 :\n        util.sizeFromShape(a.shape.slice(1));\n\n    for (let i = 0; i < values.length; i++) {\n      for (let j = 0; j < offset; j++) {\n        if (values[i] === 1) {\n          newValues[index++] = aValues[i];\n        } else {\n          newValues[index++] = bValues[i];\n        }\n      }\n    }\n\n    return result;\n  }\n\n  where(condition: Tensor): Tensor2D {\n    assertNotComplex([condition], 'where');\n\n    const condVals = this.readSync(condition.dataId) as TypedArray;\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    assertNotComplex(x, 'topk');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'min');\n\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n        }\n      }\n      vals[i] = min;\n    }\n    return result;\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'minimum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.min(aVal, bVal));\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'mod');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const rem = aVal % bVal;\n      if ((aVal < 0 && bVal < 0) || (aVal >= 0 && bVal >= 0)) {\n        return rem;\n      } else {\n        return (rem + bVal) % bVal;\n      }\n    });\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'max');\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n        }\n      }\n      vals[i] = max;\n    }\n    return result;\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'maximum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.max(aVal, bVal));\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'all');\n\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let all = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        all = all && value;\n      }\n      vals[i] = all;\n    }\n    return result;\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'any');\n\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let anyVal = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        anyVal = anyVal || value;\n      }\n      vals[i] = anyVal;\n    }\n    return result;\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'squaredDifference');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const diff = aVal - bVal;\n      return diff * diff;\n    });\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'ceil');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.ceil(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'floor');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.floor(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (values[i] < 0) {\n        newValues[i] = -1;\n      } else if (values[i] > 0) {\n        newValues[i] = 1;\n      } else {\n        newValues[i] = 0;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isNaN(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isInf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Math.abs(values[i]) === Infinity) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isFinite<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isFinite(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'round');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      // The algorithm is based on banker's rounding.\n      const base = Math.floor(values[i]);\n      if (values[i] - base < 0.5) {\n        newValues[i] = Math.floor(values[i]);\n      } else if (values[i] - base > 0.5) {\n        newValues[i] = Math.ceil(values[i]);\n      } else {\n        if (base % 2.0 === 0.0) {\n          newValues[i] = base;\n        } else {\n          newValues[i] = base + 1.0;\n        }\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'exp');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.exp(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'expm1');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.expm1(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log1p');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log1p(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'rsqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = 1 / Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'reciprocal');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = 1 / values[i];\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  linear<T extends Tensor>(x: T): T {\n    return x;\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.max(0, inVals[i]);\n    }\n    return res as T;\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.min(Math.max(0, inVals[i]), 6);\n    }\n    return res as T;\n  }\n\n  prelu<T extends Tensor>(x: T, a: T): T {\n    assertNotComplex([x, a], 'prelu');\n\n    return this.broadcastedBinaryOp(\n               x, a, x.dtype,\n               (xValue, aValue) => xValue < 0 ? aValue * xValue : xValue) as T;\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'elu');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = v;\n      } else {\n        resultValues[i] = (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    assertNotComplex([dy, y], 'eluDer');\n\n    const resultValues = new Float32Array(y.size);\n    const values = this.readSync(y.dataId) as TypedArray;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 1) {\n        resultValues[i] = dyValues[i];\n      } else {\n        resultValues[i] = dyValues[i] * (v + 1);\n      }\n    }\n    return this.makeOutput(resultValues, y.shape, 'float32');\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'selu');\n\n    // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n    // see: https://arxiv.org/abs/1706.02515\n    const scaleAlpha = selu_util.SELU_SCALEALPHA;\n    const scale = selu_util.SELU_SCALE;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = scale * v;\n      } else {\n        resultValues[i] = scaleAlpha * (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    assertNotComplex(x, 'clip');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      resultValues[i] = v > max ? max : (v < min ? min : v);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.abs(values[i]);\n    }\n\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < x.size; ++i) {\n      const real = values[i * 2];\n      const imag = values[i * 2 + 1];\n      resultValues[i] = Math.hypot(real, imag);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  int<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'int');\n\n    const resultValues = new Int32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = values[i];\n    }\n    return this.makeOutput(resultValues, x.shape, 'int32');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sigmoid');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = 1 / (1 + Math.exp(-values[i]));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'softplus');\n\n    // mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n\n    // epsilon is the difference between 1.0 and the next representable float.\n    // For a single precision 32 bit float this should be 2^-23, see:\n    // https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n    const epsilon = 1.1920928955078125e-7;\n    const threshold = Math.log(epsilon) + 2.0;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < values.length; ++i) {\n      // Value above which exp(x) may overflow, but softplus(x) == x\n      // is within machine epsilon.\n      const tooLarge = values[i] > -threshold;\n\n      // Value below which exp(x) may underflow, but softplus(x) == exp(x)\n      // is within machine epsilon.\n      const tooSmall = values[i] < threshold;\n\n      const expX = Math.exp(values[i]);\n      let result;\n\n      if (tooSmall) {\n        result = expX;\n      } else if (tooLarge) {\n        result = values[i];\n      } else {\n        result = Math.log(1.0 + expX);\n      }\n      resultValues[i] = result;\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.tan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    assertNotComplex([a, b], 'atan2');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.atan2(aValue, bValue)) as\n        T;\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = util.tanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'erf');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    const p = erf_util.ERF_P;\n    const a1 = erf_util.ERF_A1;\n    const a2 = erf_util.ERF_A2;\n    const a3 = erf_util.ERF_A3;\n    const a4 = erf_util.ERF_A4;\n    const a5 = erf_util.ERF_A5;\n    for (let i = 0; i < values.length; ++i) {\n      const sign = Math.sign(values[i]);\n      const v = Math.abs(values[i]);\n      const t = 1.0 / (1.0 + p * v);\n      resultValues[i] = sign *\n          (1.0 -\n           (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t *\n               Math.exp(-v * v));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  step<T extends Tensor>(x: T, alpha = 0): T {\n    assertNotComplex(x, 'step');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      if (isNaN(value)) {\n        resultValues[i] = NaN;\n      } else {\n        resultValues[i] = value > 0 ? 1 : alpha;\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.conv2d(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, filter], 'conv2d');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n\n    const xBatchStride = x.strides[0];\n    const xRowStride = isChannelsLast ? x.strides[1] : x.strides[2];\n    const xColStride = isChannelsLast ? x.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : x.strides[1];\n    const yBatchStride = y.strides[0];\n    const yRowStride = isChannelsLast ? y.strides[1] : y.strides[2];\n    const yColStride = isChannelsLast ? y.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : y.strides[1];\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * xBatchStride;\n      const yOffset1 = b * yBatchStride;\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * yRowStride;\n        const xRCorner = yR * convInfo.strideHeight - padTop;\n        for (let wR = 0; wR < filterHeight; wR++) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * xRowStride;\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * yColStride;\n            const xCCorner = yC * convInfo.strideWidth - padLeft;\n            for (let wC = 0; wC < filterWidth; wC++) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * xColStride;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1 * xChannelStride];\n                for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                  yVals[yOffset3 + d2 * yChannelStride] +=\n                      xVal * wVals[wOffset3 + d2];\n                }\n                wOffset3 += convInfo.outChannels;\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor() as Tensor4D;\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padFront = convInfo.padInfo.front;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const y = ops.buffer<Rank.R5>(convInfo.outShape, x.dtype as 'float32');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yF = 0; yF < convInfo.outDepth; ++yF) {\n        const yOffset2 = yOffset1 + yF * y.strides[1];\n        const xFCorner = yF * convInfo.strideDepth - padFront;\n        for (let wF = 0; wF < filterDepth; wF++) {\n          const xF = xFCorner + wF * dilationDepth;\n          if (xF < 0 || xF >= convInfo.inDepth) {\n            continue;\n          }\n          const wOffset1 = wF * filter.strides[0];\n          const xOffset2 = xOffset1 + xF * x.strides[1];\n\n          for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n            const yOffset3 = yOffset2 + yR * y.strides[2];\n            const xRCorner = yR * convInfo.strideHeight - padTop;\n            for (let wR = 0; wR < filterHeight; wR++) {\n              const xR = xRCorner + wR * dilationHeight;\n              if (xR < 0 || xR >= convInfo.inHeight) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wR * filter.strides[1];\n              const xOffset3 = xOffset2 + xR * x.strides[2];\n              for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n                const yOffset4 = yOffset3 + yC * convInfo.outChannels;\n                const xCCorner = yC * convInfo.strideWidth - padLeft;\n                for (let wC = 0; wC < filterWidth; wC++) {\n                  const xC = xCCorner + wC * dilationWidth;\n                  if (xC < 0 || xC >= convInfo.inWidth) {\n                    continue;\n                  }\n                  const wOffset3 = wOffset2 + wC * filter.strides[2];\n                  const xOffset4 = xOffset3 + xC * convInfo.inChannels;\n                  let wOffset4 = wOffset3;\n                  for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                    const xVal = xVals[xOffset4 + d1];\n                    for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                      yVals[yOffset4 + d2] += xVal * wVals[wOffset4 + d2];\n                    }\n                    wOffset4 += convInfo.outChannels;\n                  }\n                }\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor();\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'conv2dDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth,\n      dataFormat\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const xBatchStride = dx.strides[0];\n    const xRowStride = isChannelsLast ? dx.strides[1] : dx.strides[2];\n    const xColStride = isChannelsLast ? dx.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : dx.strides[1];\n    const yBatchStride = dy.strides[0];\n    const yRowStride = isChannelsLast ? dy.strides[1] : dy.strides[2];\n    const yColStride = isChannelsLast ? dy.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : dy.strides[1];\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset =\n                    yBatchStride * b + yRowStride * yR + yColStride * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let d2 = 0; d2 < outChannels; ++d2) {\n                  const pixel = dyValues[dyOffset + yChannelStride * d2];\n                  const weight = fltValues[fltOffset + d2];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            const dxOffset = xBatchStride * b + xRowStride * xR +\n                xColStride * xC + xChannelStride * d1;\n            dxValues[dxOffset] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const dx = ops.buffer<Rank.R5>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2, dxS3] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2, fltS3] = filter.strides;\n    const {\n      batchSize,\n      filterDepth,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inDepth,\n      inHeight,\n      inWidth,\n      outChannels,\n      outDepth,\n      outHeight,\n      outWidth,\n      strideDepth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const frontPad = filterDepth - 1 - convInfo.padInfo.front;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        // Frames of depth\n        for (let xF = 0; xF < inDepth; ++xF) {\n          const xFCorner = xF - frontPad;\n          const xFMin = Math.max(0, Math.ceil(xFCorner / strideDepth));\n          const yFMax =\n              Math.min(outDepth, (filterDepth + xFCorner) / strideDepth);\n\n          // Rows as per standard 2d matrix notation\n          for (let xR = 0; xR < inHeight; ++xR) {\n            const xRCorner = xR - topPad;\n            const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n            const yRMax =\n                Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n            // Columns as per standard 2d matrix notation\n            for (let xC = 0; xC < inWidth; ++xC) {\n              const xCCorner = xC - leftPad;\n              const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n              const yCMax =\n                  Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n              let dotProd = 0;\n              for (let yF = xFMin; yF < yFMax; ++yF) {\n                const wF = yF * strideDepth - xFCorner;\n\n                for (let yR = xRMin; yR < yRMax; ++yR) {\n                  const wR = yR * strideHeight - xRCorner;\n\n                  for (let yC = xCMin; yC < yCMax; ++yC) {\n                    const wC = yC * strideWidth - xCCorner;\n                    const dyOffset =\n                        dyS0 * b + dyS1 * yF + dyS2 * yR + dyS3 * yC;\n                    const fltOffset = fltS0 * (filterDepth - 1 - wF) +\n                        fltS1 * (filterHeight - 1 - wR) +\n                        fltS2 * (filterWidth - 1 - wC) + fltS3 * d1;\n\n                    for (let d2 = 0; d2 < outChannels; ++d2) {\n                      const pixel = dyValues[dyOffset + d2];\n                      const weight = fltValues[fltOffset + d2];\n                      dotProd += pixel * weight;\n                    }\n                  }\n                }\n              }\n              dxValues[dxS0 * b + dxS1 * xF + dxS2 * xR + dxS3 * xC + d1] =\n                  dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, dy], 'conv2dDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n          for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n            // Need to convolve.\n            let dotProd = 0;\n            for (let b = 0; b < convInfo.batchSize; ++b) {\n              for (let yR = yRMin; yR < yRMax; ++yR) {\n                const xR = wR + yR * strideHeight - topPad;\n                for (let yC = yCMin; yC < yCMax; ++yC) {\n                  const xC = wC + yC * strideWidth - leftPad;\n                  if (isChannelsLast) {\n                    dotProd +=\n                        xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n                  } else {\n                    dotProd +=\n                        xBuf.get(b, d1, xR, xC) * dyBuf.get(b, d2, yR, yC);\n                  }\n                }\n              }\n            }\n            dW.set(dotProd, wR, wC, d1, d2);\n          }\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const dw = ops.buffer<Rank.R5>(convInfo.filterShape, 'float32');\n    const dwValues = dw.values;\n    const [dwS0, dwS1, dwS2, dwS3] = dw.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const [xS0, xS1, xS2, xS3] = x.strides;\n\n    const frontPad = convInfo.padInfo.front;\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n\n    for (let wF = 0; wF < filterDepth; ++wF) {\n      const yFMin = Math.max(0, Math.ceil((frontPad - wF) / strideDepth));\n      const yFMax = Math.min(\n          convInfo.outDepth, (convInfo.inDepth + frontPad - wF) / strideDepth);\n      const wOffset1 = wF * dwS0;\n\n      for (let wR = 0; wR < filterHeight; ++wR) {\n        const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n        const yRMax = Math.min(\n            convInfo.outHeight,\n            (convInfo.inHeight + topPad - wR) / strideHeight);\n        const wOffset2 = wR * dwS1 + wOffset1;\n\n        for (let wC = 0; wC < filterWidth; ++wC) {\n          const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n          const yCMax = Math.min(\n              convInfo.outWidth,\n              (convInfo.inWidth + leftPad - wC) / strideWidth);\n          const wOffset3 = wC * dwS2 + wOffset2;\n\n          for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n            const wOffset4 = d1 * dwS3 + wOffset3;\n\n            for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n              let dotProd = 0;\n              for (let b = 0; b < convInfo.batchSize; ++b) {\n                const xOffset1 = b * xS0;\n                const yOffset1 = b * dyS0;\n\n                for (let yF = yFMin; yF < yFMax; ++yF) {\n                  const xF = wF + yF * strideDepth - frontPad;\n                  const xOffset2 = xF * xS1 + xOffset1;\n                  const yOffset2 = yF * dyS1 + yOffset1;\n\n                  for (let yR = yRMin; yR < yRMax; ++yR) {\n                    const xR = wR + yR * strideHeight - topPad;\n                    const xOffset3 = xR * xS2 + xOffset2;\n                    const yOffset3 = yR * dyS2 + yOffset2;\n\n                    for (let yC = yCMin; yC < yCMax; ++yC) {\n                      const xC = wC + yC * strideWidth - leftPad;\n                      const xOffset4 = xC * xS3 + xOffset3;\n                      const yOffset4 = yC * dyS3 + yOffset3;\n\n                      dotProd +=\n                          xValues[xOffset4 + d1] * dyValues[yOffset4 + d2];\n                    }\n                  }\n                }\n              }\n              dwValues[wOffset4 + d2] = dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dw.toTensor();\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.depthwiseConv2D(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, filter], 'depthwiseConv2D');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * y.strides[1];\n        const xRCorner = yR * convInfo.strideHeight - padLeft;\n        for (let wR = 0; wR < filterHeight; ++wR) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * x.strides[1];\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * y.strides[2];\n            const xCCorner = yC * convInfo.strideWidth - padTop;\n            for (let wC = 0; wC < filterWidth; ++wC) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * convInfo.inChannels;\n              let yOffset4 = yOffset3;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1];\n                for (let q = 0; q < chMul; ++q) {\n                  yVals[yOffset4 + q] += xVal * wVals[wOffset3 + q];\n                }\n                yOffset4 += chMul;\n                wOffset3 += chMul;\n              }\n            }\n          }\n        }\n      }\n    }\n\n    return y.toTensor() as Tensor4D;\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'depthwiseConv2DDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n    const chMul = outChannels / inChannels;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset = dyS0 * b + dyS1 * yR + dyS2 * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let dm = 0; dm < chMul; ++dm) {\n                  const d2 = d1 * chMul + dm;\n                  const pixel = dyValues[dyOffset + d2];\n                  const weight = fltValues[fltOffset + dm];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            dxValues[dxS0 * b + dxS1 * xR + dxS2 * xC + d1] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, dy], 'depthwiseConv2DDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n          const d1 = Math.trunc(d2 / chMul);\n          const dm = d2 % chMul;\n\n          let dotProd = 0;\n          for (let b = 0; b < convInfo.batchSize; ++b) {\n            for (let yR = yRMin; yR < yRMax; ++yR) {\n              const xR = wR + yR * strideHeight - topPad;\n              for (let yC = yCMin; yC < yCMax; ++yC) {\n                const xC = wC + yC * strideWidth - leftPad;\n                dotProd += xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n              }\n            }\n          }\n          dW.set(dotProd, wR, wC, d1, dm);\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    assertNotComplex(x, 'tile');\n    return tile(this.bufferSync(x), reps) as T;\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    assertNotComplex(x, 'pad');\n\n    const outShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + x.shape[i] + p[1] /* afterPad */);\n    const start = paddings.map(p => p[0]);\n    const xBuffer = this.bufferSync(x);\n    const buffer = ops.buffer(outShape, x.dtype as 'float32');\n    if (constantValue !== 0) {\n      buffer.values.fill(constantValue);\n    }\n\n    for (let i = 0; i < x.size; i++) {\n      const coords = xBuffer.indexToLoc(i);\n      const outCoords = coords.map((c, i) => c + start[i]);\n      buffer.set(xBuffer.get(...coords), ...outCoords);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    assertNotComplex([x, indices], 'gather');\n\n    const newShape: number[] = x.shape.slice();\n    const indicesValues = this.readSync(indices.dataId) as TypedArray;\n    newShape[axis] = indicesValues.length;\n    const result = buffer(newShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < result.size; ++i) {\n      const newLoc = result.indexToLoc(i);\n\n      const originalLoc: number[] = newLoc.slice();\n      originalLoc[axis] = indicesValues[newLoc[axis]];\n\n      const originalIndex = xBuf.locToIndex(originalLoc);\n      result.values[i] = xBuf.values[originalIndex];\n    }\n    return result.toTensor() as T;\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    assertNotComplex([x], 'batchToSpaceND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return transpose(x.reshape(reshaped), permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    assertNotComplex([x], 'spaceToBatchND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return transpose(\n               paddedX.reshape(reshapedPaddedShape),\n               permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'maxPool');\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    return pool(xValues, x.shape, x.dtype, x.strides, convInfo, 'max')\n               .toTensor() as Tensor4D;\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, y], 'maxPoolBackprop');\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const maxPosBuf = buffer(\n        convInfo.outShape, x.dtype,\n        maxPoolPositions(xValues, x.shape, x.dtype, convInfo).values);\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n                const maxPos = effectiveFilterHeight * effectiveFilterWidth -\n                    1 - (maxPosBuf.get(b, dyR, dyC, d) as number);\n                const curPos = wR * effectiveFilterWidth + wC;\n\n                const mask = maxPos === curPos ? 1 : 0;\n                if (mask === 0) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel * mask;\n              }\n            }\n            dx.set(dotProd, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([dy, x], 'avgPoolBackprop');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel;\n              }\n            }\n            dx.set(dotProd * avgMultiplier, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  private pool3d(x: Tensor5D, convInfo: Conv3DInfo, poolType: 'max'|'avg'):\n      Tensor5D {\n    assertNotComplex(x, 'pool3d');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const initialValue =\n        (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                              Number.POSITIVE_INFINITY);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = ops.buffer(convInfo.outShape, x.dtype);\n    const outputVals = output.values;\n\n    const outputBatchStrides = convInfo.outShape[1] * convInfo.outShape[2] *\n        convInfo.outShape[3] * convInfo.outShape[4];\n    const outputDepthStrides =\n        convInfo.outShape[2] * convInfo.outShape[3] * convInfo.outShape[4];\n    const outputRowStrides = convInfo.outShape[3] * convInfo.outShape[4];\n    const outputColStrides = convInfo.outShape[4];\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      const outputBatchOffset = batch * outputBatchStrides;\n      const inputBatchOffset = batch * x.strides[0];\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          const outputDepthOffset =\n              outputBatchOffset + yDepth * outputDepthStrides;\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            const outputRowOffset = outputDepthOffset + yRow * outputRowStrides;\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n              // Shader code begins\n              const outputColOffset = outputRowOffset + yCol * outputColStrides;\n              let minMaxValue = initialValue;\n              let avgValue = 0;\n              let count = 0;\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const xDepthOffset = inputBatchOffset + xDepth * x.strides[1];\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const xRowOffset = xDepthOffset + xRow * x.strides[2];\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const xColOffset = xRowOffset + xCol * x.strides[3];\n                    const pixel = xValues[xColOffset + channel];\n                    if ((poolType === 'max' && pixel > minMaxValue)) {\n                      minMaxValue = pixel;\n                    } else if (poolType === 'avg') {\n                      avgValue += pixel;\n                      count++;\n                    }\n                    if (isNaN(minMaxValue)) {\n                      break;\n                    }\n                  }\n                  if (isNaN(minMaxValue)) {\n                    break;\n                  }\n                }\n                if (isNaN(minMaxValue)) {\n                  break;\n                }\n              }\n              const outputOffset = outputColOffset + channel;\n              outputVals[outputOffset] =\n                  poolType === 'avg' ? avgValue / count : minMaxValue;\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor5D;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'avgPool3d');\n\n    return this.pool3d(x, convInfo, 'avg').toFloat();\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([dy, x], 'avgPool3dBackprop');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins.\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel;\n                  }\n                }\n              }\n              dx.set(\n                  dotProd * avgMultiplier, batch, dxDepth, dxRow, dxCol,\n                  channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'maxPool3d');\n\n    return this.pool3d(x, convInfo, 'max').toFloat();\n  }\n\n  private maxPool3dPositions(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const xBuf = this.bufferSync(x);\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n\n              // Shader code begins\n              let maxValue = Number.NEGATIVE_INFINITY;\n              let maxPosition = -1;\n\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const wDepth = xDepth - xDepthCorner;\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const wRow = xRow - xRowCorner;\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const wCol = xCol - xColCorner;\n                    const pixel = xBuf.get(batch, xDepth, xRow, xCol, channel);\n                    if (pixel >= maxValue) {\n                      maxValue = pixel;\n                      maxPosition = wDepth * effectiveFilterHeight *\n                              effectiveFilterWidth +\n                          wRow * effectiveFilterHeight + wCol;\n                    }\n                  }\n                }\n              }\n\n              maxPositions.set(maxPosition, batch, yDepth, yRow, yCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return maxPositions.toTensor() as Tensor5D;\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([x, y], 'maxPool3dBackprop');\n\n    const maxPositions = this.maxPool3dPositions(x, convInfo);\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const maxPosBuf = this.bufferSync(maxPositions);\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const maxPos = effectiveFilterDepth *\n                            effectiveFilterHeight * effectiveFilterWidth -\n                        1 -\n                        maxPosBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    const curPos =\n                        wDepth * effectiveFilterHeight * effectiveFilterWidth +\n                        wRow * effectiveFilterWidth + wCol;\n\n                    const mask = maxPos === curPos ? 1 : 0;\n                    if (mask === 0) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel * mask;\n                  }\n                }\n              }\n              dx.set(dotProd, batch, dxDepth, dxRow, dxCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'avgPool');\n    assertNotComplex(x, 'maxPool');\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    return pool(xValues, x.shape, x.dtype, x.strides, convInfo, 'avg')\n               .toTensor()\n               .toFloat() as Tensor4D;\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeBilinear');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result = new Float32Array(\n        util.sizeFromShape([batch, newHeight, newWidth, numChannels]));\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n    let outputIdx = 0;\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n    for (let b = 0; b < batch; b++) {\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceRowFloor = Math.floor(sourceFracRow);\n        const rowFrac = sourceFracRow - sourceRowFloor;\n        const sourceRowCeil = Math.min(oldHeight - 1, Math.ceil(sourceFracRow));\n        const topRowOffset = b * x.strides[0] + sourceRowFloor * x.strides[1];\n        const botRowOffset = b * x.strides[0] + sourceRowCeil * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceColFloor = Math.floor(sourceFracCol);\n          const colFrac = sourceFracCol - sourceColFloor;\n          const sourceColCeil =\n              Math.min(oldWidth - 1, Math.ceil(sourceFracCol));\n          const topLeftOffest = topRowOffset + sourceColFloor * x.strides[2];\n          const botLeftOffset = botRowOffset + sourceColFloor * x.strides[2];\n          const topRightOffset = topRowOffset + sourceColCeil * x.strides[2];\n          const botRightOffest = botRowOffset + sourceColCeil * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n\n            // Compute the fractional index of the source.\n            const topLeft = xValues[topLeftOffest + d];\n            const bottomLeft = xValues[botLeftOffset + d];\n            const topRight = xValues[topRightOffset + d];\n            const bottomRight = xValues[botRightOffest + d];\n\n            const top = topLeft + (topRight - topLeft) * colFrac;\n            const bottom = bottomLeft + (bottomRight - bottomLeft) * colFrac;\n            const newValue = top + (bottom - top) * rowFrac;\n\n            result[outputIdx++] = newValue;\n          }\n        }\n      }\n    }\n    return ops.tensor(result, [batch, newHeight, newWidth, numChannels]);\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeBilinearBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass and add the\n    // corresponding coefficient from dy to the gradient (with some\n    // interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/3039375c86a5bbc9610c7725dcaa95d635f87ba2/tensorflow/core/kernels/resize_bilinear_op.cc#L275\n\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    let offset = 0;\n    for (let b = 0; b < batch; b++) {\n      const bOffset = b * x.strides[0];\n      for (let r = 0; r < yHeight; r++) {\n        const dxR = r * heightScale;\n        const topDxRIndex = Math.floor(dxR);\n        const bottomDxRIndex = Math.min(Math.ceil(dxR), xHeight - 1);\n\n        const topDxROffset = bOffset + topDxRIndex * x.strides[1];\n        const bottomDxROffset = bOffset + bottomDxRIndex * x.strides[1];\n\n        const dxRLerp = dxR - topDxRIndex;\n        const inverseDxRLerp = 1.0 - dxRLerp;\n        for (let c = 0; c < yWidth; c++) {\n          const dxC = c * widthScale;\n          const leftDxCIndex = Math.floor(dxC);\n          const rightDxCIndex = Math.min(Math.ceil(dxC), xWidth - 1);\n          const dxCLerp = dxC - leftDxCIndex;\n          const inverseDxCLerp = 1.0 - dxCLerp;\n\n          const topLeftRCOffset = topDxROffset + leftDxCIndex * x.strides[2];\n          const topRightRCOffset = topDxROffset + rightDxCIndex * x.strides[2];\n          const bottomLeftRCOffset =\n              bottomDxROffset + leftDxCIndex * x.strides[2];\n          const bottomRightRCOffset =\n              bottomDxROffset + rightDxCIndex * x.strides[2];\n\n          const inverseDxRLerpTimesInverseDxCLerp =\n              inverseDxRLerp * inverseDxCLerp;\n          const inverseDxRLerpTimesDxCLerp = inverseDxRLerp * dxCLerp;\n          const dxRLerpTimesInverseDxCLerp = dxRLerp * inverseDxCLerp;\n          const dxRLerpTimesDxCLerp = dxRLerp * dxCLerp;\n          for (let d = 0; d < depth; d++) {\n            const dyVal = dyValues[offset++];\n            output[topLeftRCOffset + d] +=\n                dyVal * inverseDxRLerpTimesInverseDxCLerp;\n            output[topRightRCOffset + d] += dyVal * inverseDxRLerpTimesDxCLerp;\n            output[bottomLeftRCOffset + d] +=\n                dyVal * dxRLerpTimesInverseDxCLerp;\n            output[bottomRightRCOffset + d] += dyVal * dxRLerpTimesDxCLerp;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, [batch, xWidth, xHeight, depth], x.dtype);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeNearestNeighbor');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = new Float32Array(batch * newHeight * newWidth * numChannels);\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n\n    let outputOffset = 0;\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceNearestRow = Math.min(\n            oldHeight - 1,\n            alignCorners ? Math.round(sourceFracRow) :\n                           Math.floor(sourceFracRow));\n        const rowOffset = batchOffset + sourceNearestRow * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceNearestCol = Math.min(\n              oldWidth - 1,\n              alignCorners ? Math.round(sourceFracCol) :\n                             Math.floor(sourceFracCol));\n          const colOffset = rowOffset + sourceNearestCol * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n            // Compute the fractional index of the source.\n            const newVal = xValues[colOffset + d];\n            output[outputOffset++] = newVal;\n          }\n        }\n      }\n    }\n    return ops.tensor(\n        output, [batch, newHeight, newWidth, numChannels], x.dtype);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeNearestNeighborBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    // Loop over the output space.\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < xHeight; r++) {\n        const rowOffset = batchOffset + r * x.strides[1];\n\n        // Compute bounds for where in dy we will look\n        const startRLerp = Math.floor(r * invHeightScale);\n        const startDyR = Math.floor(startRLerp - (winHeight / 2));\n        for (let c = 0; c < xWidth; c++) {\n          const colOffset = rowOffset + c * x.strides[2];\n\n          // Compute bounds for where in dy we will look\n          const startCLerp = Math.floor(c * invWidthScale);\n          const startDyC = Math.floor(startCLerp - (winWidth / 2));\n\n          for (let d = 0; d < depth; d++) {\n            let accum = 0;\n            // loop over dy\n\n            for (let dyRIndex = 0; dyRIndex < winHeight; dyRIndex++) {\n              const dyR = dyRIndex + startDyR;\n              // Guard against the window exceeding the bounds of dy\n              if (dyR < 0 || dyR >= yHeight) {\n                continue;\n              }\n\n              const dyROffset = batchOffset + dyR * dy.strides[1];\n              const sourceFracRow = dyR * heightScale;\n              const sourceNearestRow = Math.min(\n                  xHeight - 1,\n                  alignCorners ? Math.round(sourceFracRow) :\n                                 Math.floor(sourceFracRow));\n              if (r !== sourceNearestRow) {\n                continue;\n              }\n              for (let dyCIndex = 0; dyCIndex < winWidth; dyCIndex++) {\n                const dyC = dyCIndex + startDyC;\n                // Guard against the window exceeding the bounds of dy\n                if (dyC < 0 || dyC >= yWidth) {\n                  continue;\n                }\n\n                const dyCOffset = dyROffset + dyC * dy.strides[2];\n                const sourceFracCol = dyC * widthScale;\n                const sourceNearestCol = Math.min(\n                    xWidth - 1,\n                    alignCorners ? Math.round(sourceFracCol) :\n                                   Math.floor(sourceFracCol));\n\n                if (c === sourceNearestCol) {\n                  accum += dyValues[dyCOffset + d];\n                }\n              }\n            }\n            output[colOffset + d] = accum;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, x.shape, x.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    assertNotComplex([x, mean, variance, scale, offset], 'batchNorm');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const mVals = this.readSync(mean.dataId) as TypedArray;\n    const varVals = this.readSync(variance.dataId) as TypedArray;\n    const sVals = scale ? this.readSync(scale.dataId) as TypedArray :\n                          new Float32Array([1]);\n    const offVals = offset ? this.readSync(offset.dataId) as TypedArray :\n                             new Float32Array([0]);\n    const outVals = new Float32Array(xVals.length);\n\n    const offValsLength = offVals.length;\n    const sValsLength = sVals.length;\n    const varValsLength = varVals.length;\n    const mValsLength = mVals.length;\n\n    let offi = 0;\n    let mi = 0;\n    let si = 0;\n    let vi = 0;\n    for (let i = 0; i < xVals.length; ++i) {\n      outVals[i] = offVals[offi++] +\n          (xVals[i] - mVals[mi++]) * sVals[si++] /\n              Math.sqrt(varVals[vi++] + varianceEpsilon);\n      if (offi >= offValsLength) {\n        offi = 0;\n      }\n      if (mi >= mValsLength) {\n        mi = 0;\n      }\n      if (si >= sValsLength) {\n        si = 0;\n      }\n      if (vi >= varValsLength) {\n        vi = 0;\n      }\n    }\n    return tensor4d(outVals, x.shape);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(x, 'localResponseNormalization4D');\n\n    const channels = x.shape[3];\n    const maxD = channels - 1;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const size = x.size;\n    const result = new Float32Array(size);\n\n    function sumAcrossChannels(offset: number) {\n      const currentChannel = offset % channels;\n      let beginSumOffset =\n          offset - currentChannel + Math.max(0, currentChannel - depthRadius);\n      const endSumOffset = offset - currentChannel +\n          Math.min(currentChannel + depthRadius, maxD);\n\n      let sum = 0.0;\n      for (; beginSumOffset <= endSumOffset; beginSumOffset++) {\n        const z = xValues[beginSumOffset];\n        sum += z * z;\n      }\n      return sum;\n    }\n\n    for (let offset = 0; offset < size; offset++) {\n      const sum = sumAcrossChannels(offset);\n      const val = xValues[offset] * Math.pow(bias + alpha * sum, -beta);\n      result[offset] = val;\n    }\n\n    return ops.tensor4d(result, x.shape);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(dy, 'LRNGrad');\n    const channels = dy.shape[3];\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const inputImageValues = this.readSync(inputImage.dataId) as TypedArray;\n    const outputImageValues = this.readSync(outputImage.dataId) as TypedArray;\n    const result = new Float32Array(dy.size);\n    const size = dy.size;\n\n    for (let offset = 0; offset < size; offset++) {\n      const currentChannel = offset % channels;\n      const depthBegin =\n          (offset - currentChannel) + Math.max(0, currentChannel - depthRadius);\n      const depthEnd = (offset - currentChannel) +\n          Math.min(channels, currentChannel + depthRadius + 1);\n\n      let norm = 0;\n      for (let k = depthBegin; k < depthEnd; k++) {\n        norm += Math.pow(inputImageValues[k], 2);\n      }\n      norm = alpha * norm + bias;\n\n      for (let k = depthBegin; k < depthEnd; k++) {\n        let dyi = -2 * alpha * beta * inputImageValues[k] *\n            outputImageValues[offset] / norm;\n        if (offset === k) {\n          dyi += Math.pow(norm, -beta);\n        }\n        dyi *= dyValues[offset];\n        result[k] += dyi;\n      }\n    }\n    return ops.tensor4d(result, dy.shape);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    assertNotComplex(logits, 'multinomial');\n\n    const probabilities = normalized ? logits : ops.softmax(logits);\n    const batchSize = probabilities.shape[0];\n    const numEvents = probabilities.shape[1];\n    const res = ops.zeros<Rank.R2>([batchSize, numSamples], 'int32');\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const probVals = this.readSync(probabilities.dataId) as TypedArray;\n\n    for (let b = 0; b < batchSize; ++b) {\n      const offset = b * numEvents;\n      // The cdf won't include the last event. It will be implicit if no other\n      // event happened.\n      const cdf = new Float32Array(numEvents - 1);\n      cdf[0] = probVals[offset];\n      for (let event = 1; event < cdf.length; ++event) {\n        cdf[event] = cdf[event - 1] + probVals[offset + event];\n      }\n\n      const random = seedrandom.alea(seed.toString());\n      const outOffset = b * numSamples;\n      for (let sampleId = 0; sampleId < numSamples; ++sampleId) {\n        const r = random();\n\n        // Assume last event happened by default.\n        resVals[outOffset + sampleId] = cdf.length;\n\n        for (let event = 0; event < cdf.length; event++) {\n          if (r < cdf[event]) {\n            resVals[outOffset + sampleId] = event;\n            break;\n          }\n        }\n      }\n    }\n    return res;\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    assertNotComplex(indices, 'oneHot');\n\n    const res = new Float32Array(indices.size * depth);\n    res.fill(offValue);\n    const indicesVal = this.readSync(indices.dataId) as TypedArray;\n\n    for (let event = 0; event < indices.size; ++event) {\n      if (indicesVal[event] >= 0 && indicesVal[event] < depth) {\n        res[event * depth + indicesVal[event]] = onValue;\n      }\n    }\n    return ops.tensor2d(res, [indices.size, depth], 'int32');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    assertNotComplex(boxes, 'nonMaxSuppression');\n\n    const boxesVals = this.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = this.readSync(scores.dataId) as TypedArray;\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, false);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, true);\n  }\n\n  /**\n   * Calculate FFT of inner most elements of batch tensor.\n   */\n  private fftBatch(x: Tensor2D, inverse: boolean): Tensor2D {\n    const batch = x.shape[0];\n    const innerDim = x.shape[1];\n    // Collects real and imaginary values separately.\n    const realResult = ops.buffer(x.shape, 'float32');\n    const imagResult = ops.buffer(x.shape, 'float32');\n\n    const real = ops.real(x).as2D(batch, innerDim);\n    const imag = ops.imag(x).as2D(batch, innerDim);\n\n    for (let b = 0; b < batch; b++) {\n      // TODO: Support slice ops for complex type.\n      const r = real.slice([b, 0], [1, innerDim]);\n      const i = imag.slice([b, 0], [1, innerDim]);\n      const input = ops.complex(r, i);\n      // Run FFT by batch element.\n      const res =\n          this.readSync(this.fftImpl(input, inverse).dataId) as Float32Array;\n      for (let d = 0; d < innerDim; d++) {\n        const c = complex_util.getComplexWithIndex(res, d);\n        realResult.values[b * innerDim + d] = c.real;\n        imagResult.values[b * innerDim + d] = c.imag;\n      }\n    }\n\n    const t = ops.complex(realResult.toTensor(), imagResult.toTensor());\n    return t.as2D(batch, innerDim);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const x1D = x.as1D();\n\n    const n = x1D.size;\n\n    if (this.isExponentOf2(n)) {\n      let result = this.fftRadix2(x1D, n, inverse).as2D(x.shape[0], x.shape[1]);\n      if (inverse) {\n        result = ops.complex(\n                     ops.real(result).div(scalar(n)),\n                     ops.imag(result).div(scalar(n))) as Tensor2D;\n      }\n      return result;\n    } else {\n      const data = this.readSync(x.dataId) as TypedArray;\n      const rawOutput =\n          this.fourierTransformByMatmul(data, n, inverse) as Float32Array;\n      const output = complex_util.splitRealAndImagArrays(rawOutput);\n      return ops.complex(output.real, output.imag).as2D(x.shape[0], x.shape[1]);\n    }\n  }\n\n  private isExponentOf2(size: number): boolean {\n    return (size & size - 1) === 0;\n  }\n\n  // FFT using Cooley-Tukey algorithm on radix 2 dimensional input.\n  private fftRadix2(input: Tensor1D, size: number, inverse: boolean): Tensor1D {\n    if (size === 1) {\n      return input;\n    }\n    const data = this.readSync(input.dataId) as TypedArray as Float32Array;\n    const half = size / 2;\n    const evenComplex = complex_util.complexWithEvenIndex(data);\n    let evenTensor = ops.complex(evenComplex.real, evenComplex.imag).as1D();\n    const oddComplex = complex_util.complexWithOddIndex(data);\n    let oddTensor = ops.complex(oddComplex.real, oddComplex.imag).as1D();\n\n    // Recursive call for half part of original input.\n    evenTensor = this.fftRadix2(evenTensor, half, inverse);\n    oddTensor = this.fftRadix2(oddTensor, half, inverse);\n\n    const e = complex_util.exponents(size, inverse);\n    const exponent = ops.complex(e.real, e.imag).mul(oddTensor);\n\n    const addPart = evenTensor.add(exponent);\n    const subPart = evenTensor.sub(exponent);\n\n    const realTensor = ops.real(addPart).concat(ops.real(subPart));\n    const imagTensor = ops.imag(addPart).concat(ops.imag(subPart));\n\n    return ops.complex(realTensor, imagTensor).as1D();\n  }\n\n  // Calculate fourier transform by multplying sinusoid matrix.\n  private fourierTransformByMatmul(\n      data: TypedArray, size: number, inverse: boolean): TypedArray {\n    const ret = new Float32Array(size * 2);\n    // TODO: Use matmul instead once it supports complex64 type.\n    for (let r = 0; r < size; r++) {\n      let real = 0.0;\n      let imag = 0.0;\n      for (let c = 0; c < size; c++) {\n        const e = complex_util.exponent(r * c, size, inverse);\n        const term = complex_util.getComplexWithIndex(data as Float32Array, c);\n        real += term.real * e.real - term.imag * e.imag;\n        imag += term.real * e.imag + term.imag * e.real;\n      }\n      if (inverse) {\n        real /= size;\n        imag /= size;\n      }\n      complex_util.assignToTypedArray(ret, real, imag, r);\n    }\n    return ret;\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        dataFormat === 'NHWC',\n        () => `Only NHWC dataFormat supported on CPU for depthToSpace. Got ${\n            dataFormat}`);\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = x.shape[1];\n    const inputWidth = x.shape[2];\n    const inputDepth = x.shape[3];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result =\n        new Float32Array(batchSize * outputHeight * outputWidth * outputDepth);\n\n    let outputIdx = 0;\n    for (let b = 0; b < batchSize; ++b) {\n      for (let h = 0; h < outputHeight; ++h) {\n        const inH = Math.floor(h / blockSize);\n        const offsetH = (h % blockSize);\n        for (let w = 0; w < outputWidth; ++w) {\n          const inW = Math.floor(w / blockSize);\n          const offsetW = (w % blockSize);\n          const offsetD = (offsetH * blockSize + offsetW) * outputDepth;\n          for (let d = 0; d < outputDepth; ++d) {\n            const inD = d + offsetD;\n            const inputIdx =\n                inD + inputDepth * (inW + inputWidth * (inH + inputHeight * b));\n            result[outputIdx++] = xValues[inputIdx];\n          }\n        }\n      }\n    }\n    return ops.tensor4d(\n        result, [batchSize, outputHeight, outputWidth, outputDepth]);\n  }\n\n  private broadcastedBinaryOp(\n      a: Tensor, b: Tensor, dtype: DataType,\n      op: (a: number, b: number) => number): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const result = ops.buffer(newShape, dtype);\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const resVals = result.values;\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < resVals.length; ++i) {\n        resVals[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      const aBuf = this.bufferSync(a);\n      const bBuf = this.bufferSync(b);\n      for (let i = 0; i < resVals.length; ++i) {\n        const loc = result.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bBuf.locToIndex(bLoc);\n\n        resVals[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n    return result.toTensor();\n  }\n\n  private broadcastedBinaryComplexOp(\n      a: Tensor, b: Tensor,\n      op:\n          (aReal: number, aImag: number, bReal: number,\n           bImag: number) => {real: number, imag: number}): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const realResult = ops.buffer(newShape, 'float32');\n    const imagResult = ops.buffer(newShape, 'float32');\n\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const realVals = realResult.values;\n    const imagVals = imagResult.values;\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < realVals.length; i++) {\n        const aIdx = i % aVals.length;\n        const bIdx = i % bVals.length;\n\n        const result =\n            op(aVals[aIdx * 2], aVals[aIdx * 2 + 1], bVals[bIdx * 2],\n               bVals[bIdx * 2 + 1]);\n\n        realVals[i] = result.real;\n        imagVals[i] = result.imag;\n      }\n    } else {\n      const aRealBuf =\n          this.bufferSync(this.data.get(a.dataId).complexTensors.real);\n      const bRealBuf =\n          this.bufferSync(this.data.get(b.dataId).complexTensors.real);\n      for (let i = 0; i < realVals.length; i++) {\n        const loc = realResult.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aRealBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bRealBuf.locToIndex(bLoc);\n\n        const opResult =\n            op(aVals[aIndex * 2], aVals[aIndex * 2 + 1], bVals[bIndex * 2],\n               bVals[bIndex * 2 + 1]);\n\n        realVals[i] = opResult.real;\n        imagVals[i] = opResult.imag;\n      }\n    }\n    return this.complex(realResult.toTensor(), imagResult.toTensor());\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  dispose() {}\n\n  floatPrecision(): 16|32 {\n    return 32;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return EPSILON_FLOAT32;\n  }\n\n  cropAndResize(\n      images: Tensor4D,\n      boxes: Tensor2D,\n      boxIndex: Tensor1D,\n      cropSize: [number, number],\n      method: string,\n      extrapolationValue: number,\n  ) {\n    const [batch, imageHeight, imageWidth, numChannels] = images.shape;\n    const numBoxes = boxes.shape[0];\n\n    const [cropHeight, cropWidth] = cropSize;\n    const output =\n        ops.buffer([numBoxes, cropHeight, cropWidth, numChannels], 'float32');\n\n    const boxVals = this.readSync(boxes.dataId) as TypedArray;\n    const boxIndVals = this.readSync(boxIndex.dataId) as TypedArray;\n    const imageVals = this.readSync(images.dataId) as TypedArray;\n\n    const inStride = images.strides;   // to calculate flat indexes into image\n    const outStride = output.strides;  // to calculate flat indexes into output\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op.cc\n    for (let b = 0; b < numBoxes; b++) {\n      const startInd = b * 4;\n      const y1 = boxVals[startInd];\n      const x1 = boxVals[startInd + 1];\n      const y2 = boxVals[startInd + 2];\n      const x2 = boxVals[startInd + 3];\n\n      const bInd: number = boxIndVals[b];\n      if (bInd >= batch) {\n        continue;\n      }\n\n      const heightScale = (cropHeight > 1) ?\n          (y2 - y1) * (imageHeight - 1) / (cropHeight - 1) :\n          0;\n      const widthScale =\n          (cropWidth > 1) ? (x2 - x1) * (imageWidth - 1) / (cropWidth - 1) : 0;\n\n      for (let y = 0; y < cropHeight; y++) {\n        const yInd: number = (cropHeight > 1) ?\n            y1 * (imageHeight - 1) + y * (heightScale) :\n            0.5 * (y1 + y2) * (imageHeight - 1);\n\n        if (yInd < 0 || yInd > imageHeight - 1) {\n          for (let x = 0; x < cropWidth; x++) {\n            for (let c = 0; c < numChannels; c++) {\n              const ind =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = extrapolationValue;\n            }\n          }\n          continue;\n        }\n\n        if (method === 'bilinear') {\n          const topInd = Math.floor(yInd);\n          const bottomInd = Math.ceil(yInd);\n          const yLerp = yInd - topInd;\n\n          for (let x = 0; x < cropWidth; x++) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const leftInd = Math.floor(xInd);\n            const rightInd = Math.ceil(xInd);\n            const xLerp = xInd - leftInd;\n\n            for (let c = 0; c < numChannels; c++) {\n              let ind = c + leftInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topRight = imageVals[ind];\n\n              ind = c + leftInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomRight = imageVals[ind];\n\n              const top = topLeft + (topRight - topLeft) * xLerp;\n              const bottom = bottomLeft + (bottomRight - bottomLeft) * xLerp;\n\n              ind = c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = top + ((bottom - top) * yLerp);\n            }\n          }\n        } else {  // method == \"nearest\"\n          for (let x = 0; x < cropWidth; ++x) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const closestX = Math.round(xInd);\n            const closestY = Math.round(yInd);\n            for (let c = 0; c < numChannels; c++) {\n              const inInd = c + closestX * inStride[2] +\n                  closestY * inStride[1] + bInd * inStride[0];\n              const outInd =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[outInd] = imageVals[inInd];\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor4D;\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n    const sumDupeIndices = false;\n    return this.scatter(\n        sparseIndices, sparseValues, outputShape, outputSize, sliceSize,\n        numUpdates, sliceRank, strides, defaultValue, sumDupeIndices);\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n    if (numSlices === 0) {\n      return tensor([], resultShape, x.dtype);\n    }\n\n    const buffer = new TensorBuffer([numSlices, sliceSize], x.dtype);\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const xData = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < numSlices; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        flattenIndex += dim * strides[j];\n        index.push(dim);\n      }\n      if (flattenIndex < 0 || flattenIndex >= x.size / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${x.shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        buffer.values[i * sliceSize + k] = xData[flattenIndex * sliceSize + k];\n      }\n    }\n    return buffer.toTensor().reshape(resultShape);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n    const defaultValue = scalar(0);\n    const sumDupeIndices = true;\n    return this.scatter(\n        indices, updates, shape, outputSize, sliceSize, numUpdates, sliceRank,\n        strides, defaultValue, sumDupeIndices);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n    const values = getArrayFromDType(dtype, sizeFromShape(shape)) as TypedArray;\n    values.fill(value as number);\n    return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported for string tensors');\n    } else {\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    const values =\n        getArrayFromDType(x.dtype, sizeFromShape(x.shape)) as TypedArray;\n    return this.makeOutput(values, x.shape, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  private scatter<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R], outputSize: number,\n      sliceSize: number, numUpdates: number, sliceRank: number,\n      strides: number[], defaultValue: Scalar,\n      sumDupeIndices: boolean): Tensor<R> {\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const updatesData = this.readSync(updates.dataId) as TypedArray;\n\n    if (outputSize === 0) {\n      return tensor([], shape, updates.dtype);\n    }\n\n    const buffer = new TensorBuffer(flattenShape, updates.dtype as 'float32');\n    buffer.values.fill((this.readSync(defaultValue.dataId) as TypedArray)[0]);\n\n    for (let i = 0; i < numUpdates; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        index.push(dim);\n        flattenIndex += dim * strides[j];\n      }\n\n      if (flattenIndex < 0 || flattenIndex >= outputSize / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        if (sumDupeIndices) {\n          buffer.values[flattenIndex * sliceSize + k] +=\n              updatesData[i * sliceSize + k];\n        } else {\n          buffer.values[flattenIndex * sliceSize + k] = updates.rank === 0 ?\n              updatesData[0] :\n              updatesData[i * sliceSize + k];\n        }\n      }\n    }\n    return buffer.toTensor().reshape(shape);\n  }\n}\n\nENGINE.registerBackend('cpu', () => new MathBackendCPU(), 1 /* priority */);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as backend_util from '../../../backends/backend_util';\nimport {BinaryInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {DataType, NumericDataType, TypedArray} from '../../../types';\nimport * as util from '../../../util';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function createBinaryKernelConfig(\n    name: string,\n    op: (\n        aShape: number[], bShape: number[], aVals: TypedArray,\n        bVals: TypedArray,\n        dtype: DataType) => [TypedArray, number[]]): KernelConfig {\n  return {\n    kernelName: name,\n    backendName: 'cpu',\n    kernelFunc: ({inputs, backend}) => {\n      const {a, b} = inputs as BinaryInputs;\n      const cpuBackend = backend as MathBackendCPU;\n      assertNotComplex([a, b], name);\n\n      const aVals = cpuBackend.data.get(a.dataId).values as TypedArray;\n      const bVals = cpuBackend.data.get(b.dataId).values as TypedArray;\n\n      const [resultData, resultShape] =\n          op(a.shape, b.shape, aVals, bVals, a.dtype);\n\n      const dataId = cpuBackend.write(resultData, resultShape, a.dtype);\n      return {dataId, shape: resultShape, dtype: a.dtype};\n    }\n  };\n}\n\nexport function createBinaryKernelImpl(op: (a: number, b: number) => number) {\n  return (aShape: number[], bShape: number[], aVals: TypedArray,\n          bVals: TypedArray, dtype: DataType): [TypedArray, number[]] => {\n    const newShape = backend_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    const resultRank = newShape.length;\n    const resultStrides = util.computeStrides(newShape);\n    const resultSize = util.sizeFromShape(newShape);\n\n    const result =\n        util.getTypedArrayFromDType(dtype as NumericDataType, resultSize);\n\n    const aRank = aShape.length;\n    const bRank = bShape.length;\n\n    const aStrides = util.computeStrides(aShape);\n    const bStrides = util.computeStrides(bShape);\n\n    const aBroadcastDims = backend_util.getBroadcastDims(aShape, newShape);\n    const bBroadcastDims = backend_util.getBroadcastDims(bShape, newShape);\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < result.length; ++i) {\n        result[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      for (let i = 0; i < result.length; ++i) {\n        const loc = util.indexToLoc(i, resultRank, resultStrides);\n\n        const aLoc = loc.slice(-aRank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = util.locToIndex(aLoc, aRank, aStrides);\n\n        const bLoc = loc.slice(-bRank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = util.locToIndex(bLoc, bRank, bStrides);\n\n        result[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n\n    return [result, newShape];\n  };\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {createBinaryKernelImpl} from '../utils/kernel_utils';\n\nexport const divImpl = createBinaryKernelImpl((a: number, b: number) => a / b);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div} from '../../../kernel_names';\nimport {createBinaryKernelConfig} from '../utils/kernel_utils';\nimport {divImpl} from './Div_impl';\n\nexport const divConfig = createBinaryKernelConfig(Div, divImpl);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {MaxPoolWithArgmax, MaxPoolWithArgmaxAttrs, MaxPoolWithArgmaxInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport {TypedArray} from '../../../types';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nimport {maxPoolWithArgmaxImpl} from './MaxPoolWithArgmax_impl';\n\nexport const maxPoolWithArgmaxConfig: KernelConfig = {\n  kernelName: MaxPoolWithArgmax,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as MaxPoolWithArgmaxInputs;\n    const {filterSize, strides, pad, includeBatchInIndex} =\n        attrs as {} as MaxPoolWithArgmaxAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'MaxPoolWithArgmax');\n\n    const values = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const convInfo = conv_util.computePool2DInfo(\n        x.shape as [number, number, number, number], filterSize, strides,\n        [1, 1], pad);\n    const [pooled, indexes] = maxPoolWithArgmaxImpl(\n        values, x.shape, x.dtype, includeBatchInIndex, convInfo);\n\n    const pooledDataId =\n        cpuBackend.write(pooled as Float32Array, convInfo.outShape, x.dtype);\n    const indexesDataId =\n        cpuBackend.write(indexes as Int32Array, convInfo.outShape, x.dtype);\n    return [\n      {dataId: pooledDataId, shape: convInfo.outShape, dtype: x.dtype},\n      {dataId: indexesDataId, shape: convInfo.outShape, dtype: 'int32'}\n    ];\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Conv2DInfo} from '../../../ops/conv_util';\nimport {DataType, TypedArray} from '../../../types';\nimport {computeStrides} from '../../../util';\nimport {maxPoolPositions, pool} from '../pool_utils';\nexport function maxPoolWithArgmaxImpl(\n    xValues: TypedArray, xShape: number[], dtype: DataType,\n    includeBatchInIndex: boolean, convInfo: Conv2DInfo) {\n  const strides = computeStrides(xShape);\n  const maxPools = pool(xValues, xShape, dtype, strides, convInfo, 'max');\n  const maxPositions = maxPoolPositions(\n      xValues, xShape, dtype, convInfo, true, includeBatchInIndex);\n\n  return [maxPools.values, maxPositions.values];\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NonMaxSuppressionV5, NonMaxSuppressionV5Attrs, NonMaxSuppressionV5Inputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {TypedArray} from '../../../types';\nimport {nonMaxSuppressionV5} from '../../non_max_suppression_impl';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport const nonMaxSuppressionV5Config: KernelConfig = {\n  kernelName: NonMaxSuppressionV5,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    const {boxes, scores} = inputs as NonMaxSuppressionV5Inputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as unknown as NonMaxSuppressionV5Attrs;\n\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(boxes, 'NonMaxSuppressionWithScore');\n\n    const boxesVals = cpuBackend.data.get(boxes.dataId).values as TypedArray;\n    const scoresVals = cpuBackend.data.get(scores.dataId).values as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square, SquareInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport const squareConfig: KernelConfig = {\n  kernelName: Square,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'square');\n\n    const values = cpuBackend.data.get(x.dataId).values as Float32Array;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = value * value;\n    }\n    const dataId = cpuBackend.write(newValues, x.shape, x.dtype);\n    return {dataId, shape: x.shape, dtype: x.dtype};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SquaredDifference} from '../../../kernel_names';\nimport {createBinaryKernelImpl} from '../utils/kernel_utils';\nimport {createBinaryKernelConfig} from '../utils/kernel_utils';\n\nconst squaredDifferenceImpl = createBinaryKernelImpl((aVal, bVal) => {\n  const diff = aVal - bVal;\n  return diff * diff;\n});\n\nexport const squaredDifferenceConfig =\n    createBinaryKernelConfig(SquaredDifference, squaredDifferenceImpl);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NumericDataType, TypedArray} from '../../../types';\nimport * as util from '../../../util';\n\nexport function transposeImpl(\n    xVals: TypedArray, xShape: number[], dtype: DataType, perm: number[],\n    newShape: number[]): TypedArray {\n  const xSize = util.sizeFromShape(xShape);\n  const xRank = xShape.length;\n  const xStrides = util.computeStrides(xShape);\n  const newStrides = util.computeStrides(newShape);\n\n  const result = util.getTypedArrayFromDType(\n      dtype as NumericDataType, util.sizeFromShape(newShape));\n\n  for (let i = 0; i < xSize; ++i) {\n    const loc = util.indexToLoc(i, xRank, xStrides);\n\n    // Permute location.\n    const newLoc: number[] = new Array(loc.length);\n    for (let i = 0; i < newLoc.length; i++) {\n      newLoc[i] = loc[perm[i]];\n    }\n\n    const newIndex = util.locToIndex(newLoc, xRank, newStrides);\n    result[newIndex] = xVals[i];\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// We explicitly import the modular kernels so they get registered in the\n// global registry when we compile the library. A modular build would replace\n// the contents of this file and import only the kernels that are needed.\nimport {KernelConfig, registerKernel} from '../../kernel_registry';\n\nimport {divConfig} from './kernels/Div';\nimport {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';\nimport {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';\nimport {squareConfig} from './kernels/Square';\nimport {squaredDifferenceConfig} from './kernels/SquaredDifference';\nimport {transposeConfig} from './kernels/Transpose';\n\n// List all kernel configs here\nconst kernelConfigs: KernelConfig[] = [\n  nonMaxSuppressionV5Config, squareConfig, squaredDifferenceConfig, divConfig,\n  transposeConfig, maxPoolWithArgmaxConfig\n];\n\nfor (const kernelConfig of kernelConfigs) {\n  registerKernel(kernelConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Transpose, TransposeAttrs, TransposeInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {TypedArray} from '../../../types';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nimport {transposeImpl} from './Transpose_impl';\n\nexport const transposeConfig: KernelConfig = {\n  kernelName: Transpose,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as TransposeInputs;\n    const {perm} = attrs as {} as TransposeAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(x, 'transpose');\n\n    const xRank = x.shape.length;\n\n    const newShape: number[] = new Array(xRank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n\n    const values = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const result = transposeImpl(values, x.shape, x.dtype, perm, newShape);\n\n    const dataId = cpuBackend.write(result, newShape, x.dtype);\n    return {dataId, shape: newShape, dtype: x.dtype};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div, DivInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {divImpl} from './Div_impl';\n\nexport const divConfig: KernelConfig = {\n  kernelName: Div,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {a, b} = inputs as DivInputs;\n\n    const webglBackend = backend as MathBackendWebGL;\n\n    return divImpl(a, b, webglBackend);\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {FromPixels, FromPixelsAttrs, FromPixelsInputs} from '../../../kernel_names';\nimport {KernelFunc, TensorInfo} from '../../../kernel_registry';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {TextureUsage} from '../tex_util';\n\nimport {FromPixelsProgram} from './FromPixels_utils/from_pixels_gpu';\nimport {FromPixelsPackedProgram} from './FromPixels_utils/from_pixels_packed_gpu';\n\nexport const fromPixelsConfig: KernelConfig = {\n  kernelName: FromPixels,\n  backendName: 'webgl',\n  kernelFunc: fromPixels as {} as KernelFunc,\n};\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\nfunction fromPixels(args: {\n  inputs: FromPixelsInputs,\n  backend: MathBackendWebGL,\n  attrs: FromPixelsAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  let {pixels} = inputs;\n  const {numChannels} = attrs;\n\n  const isVideo = typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement;\n  const isImage = typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement;\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n\n  const texShape: [number, number] = [height, width];\n  const outShape = [height, width, numChannels];\n\n  if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement | HTMLImageElement, 0, 0, width, height);\n    pixels = fromPixels2DContext.canvas;\n  }\n\n  const tempPixelHandle = backend.makeTensorInfo(texShape, 'int32');\n  // This is a byte texture with pixels.\n  backend.texData.get(tempPixelHandle.dataId).usage = TextureUsage.PIXELS;\n  backend.gpgpu.uploadPixelDataToTexture(\n      backend.getTexture(tempPixelHandle.dataId), pixels as ImageData);\n  const program = env().getBool('WEBGL_PACK') ?\n      new FromPixelsPackedProgram(outShape) :\n      new FromPixelsProgram(outShape);\n  const res = backend.runWebGLProgram(program, [tempPixelHandle], 'int32');\n  backend.disposeData(tempPixelHandle.dataId);\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from '../../glsl_version';\nimport {GPGPUProgram} from '../../gpgpu_math';\n\nexport class FromPixelsProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${width}.0, ${height}.0);\n\n        vec4 values = ${glsl.texture2D}(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from '../../glsl_version';\nimport {GPGPUProgram} from '../../gpgpu_math';\n\nexport class FromPixelsPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2(${width}.0, ${height}.0);\n            vec4 values = ${glsl.texture2D}(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {MaxPoolWithArgmax, MaxPoolWithArgmaxAttrs, MaxPoolWithArgmaxInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport * as util from '../../../util';\nimport {MathBackendWebGL} from '../backend_webgl';\n\nimport {maxPoolWithArgmaxImpl} from './MaxPoolWithArgmax_impl';\n\nexport const maxPoolWithArgmaxConfig: KernelConfig = {\n  kernelName: MaxPoolWithArgmax,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as MaxPoolWithArgmaxInputs;\n    const {filterSize, strides, pad, includeBatchInIndex} =\n        attrs as {} as MaxPoolWithArgmaxAttrs;\n    const webglBackend = backend as MathBackendWebGL;\n\n    util.assert(\n        x.shape.length === 4,\n        () => `Error in maxPool: input must be rank 4 but got rank ${\n            x.shape.length}.`);\n    const dilations: [number, number] = [1, 1];\n    util.assert(\n        conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n        () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n            `Got strides ${strides} and dilations '${dilations}'`);\n\n    const convInfo = conv_util.computePool2DInfo(\n        x.shape as [number, number, number, number], filterSize, strides,\n        dilations, pad);\n\n    const [result, indexes] =\n        maxPoolWithArgmaxImpl(x, includeBatchInIndex, convInfo, webglBackend);\n    return [result, indexes];\n  }\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposeProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const switched = getSwitchedCoords(newDim);\n\n    this.userCode = `\n    void main() {\n      ${dtype} resRC = getOutputCoords();\n      setOutput(getA(${switched}));\n    }\n    `;\n  }\n}\n\nfunction getSwitchedCoords(newDim: number[]): string {\n  const rank = newDim.length;\n  if (rank > 6) {\n    throw Error(`Transpose for rank ${rank} is not yet supported`);\n  }\n  const originalOrder =\n      ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u', 'resRC.v'];\n  const switchedCoords = new Array(rank);\n  for (let i = 0; i < newDim.length; i++) {\n    switchedCoords[newDim[i]] = originalOrder[i];\n  }\n  return switchedCoords.join();\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getVecChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    if (this.rank > 6) {\n      throw Error(\n          `Packed transpose for rank ${this.rank} is not yet supported.`);\n    }\n    const dtype = getCoordsDataType(this.rank);\n\n    const outputOrder = getVecChannels('rc', this.rank);\n    const switchedOrder = new Array(this.rank);\n    for (let i = 0; i < newDim.length; i++) {\n      switchedOrder[newDim[i]] = outputOrder[i];\n    }\n    const innerDims = `vec2(${switchedOrder.slice(-2).join()})`;\n    const nextColumn =\n        `++${outputOrder[this.rank - 1]} < ${outputShape[this.rank - 1]}`;\n    const getc = `getChannel(getA(${switchedOrder.join()}), ${innerDims})`;\n\n    this.userCode = `\n    void main() {\n      ${dtype} rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ${getc};\n      if(${nextColumn}) {\n        result[1] = ${getc};\n      }\n      --${outputOrder[this.rank - 1]};\n      if(++${outputOrder[this.rank - 2]} < ${outputShape[this.rank - 2]}) {\n        result[2] = ${getc};\n        if(${nextColumn}) {\n          result[3] = ${getc};\n        }\n      }\n      setOutput(result);\n    }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {KernelConfig, registerKernel} from '../../kernel_registry';\n\nimport {divConfig} from './kernels/Div';\nimport {fromPixelsConfig} from './kernels/FromPixels';\nimport {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';\nimport {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';\nimport {squareConfig} from './kernels/Square';\nimport {squaredDifferenceConfig} from './kernels/SquaredDifference';\nimport {transposeConfig} from './kernels/Transpose';\n\n// List all kernel configs here\nconst kernelConfigs: KernelConfig[] = [\n  fromPixelsConfig, divConfig, nonMaxSuppressionV5Config, squareConfig,\n  squaredDifferenceConfig, transposeConfig, maxPoolWithArgmaxConfig\n];\n\nfor (const kernelConfig of kernelConfigs) {\n  registerKernel(kernelConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../../../../src/types';\nimport {transposeImpl as cpuTranspose} from '../../../backends/cpu/kernels/Transpose_impl';\nimport {Transpose, TransposeAttrs, TransposeInputs} from '../../../kernel_names';\nimport {KernelConfig, TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {transposeImpl} from './Transpose_impl';\n\nexport const transposeConfig: KernelConfig = {\n  kernelName: Transpose,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as TransposeInputs;\n    const {perm} = attrs as {} as TransposeAttrs;\n    const webglBackend = backend as MathBackendWebGL;\n\n    const xRank = x.shape.length;\n\n    const newShape: number[] = new Array(xRank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n\n    let out: TensorInfo;\n    if (webglBackend.shouldExecuteOnCPU([x])) {\n      const xTexData = webglBackend.texData.get(x.dataId);\n      const values = xTexData.values as TypedArray;\n      const outValues = cpuTranspose(values, x.shape, x.dtype, perm, newShape);\n\n      out = webglBackend.makeTensorInfo(newShape, x.dtype);\n      const outData = webglBackend.texData.get(out.dataId);\n      outData.values = outValues;\n    } else {\n      out = transposeImpl(x, perm, webglBackend);\n    }\n    return out;\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport * as binaryop_gpu from '../binaryop_gpu';\nimport {BinaryOpProgram} from '../binaryop_gpu';\nimport * as binaryop_packed_gpu from '../binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from '../binaryop_packed_gpu';\n\nexport function divImpl(\n    a: TensorInfo, b: TensorInfo, backend: MathBackendWebGL): TensorInfo {\n  let program = new BinaryOpProgram(binaryop_gpu.DIV, a.shape, b.shape);\n  if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n    program = new BinaryOpPackedProgram(\n        binaryop_packed_gpu.DIV, a.shape, b.shape, true);\n  }\n  const output = backend.runWebGLProgram(program, [a, b], 'float32');\n  return output;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NonMaxSuppressionV5, NonMaxSuppressionV5Attrs, NonMaxSuppressionV5Inputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {warn} from '../../../log';\nimport {TypedArray} from '../../../types';\nimport {nonMaxSuppressionV5} from '../../non_max_suppression_impl';\n\nimport {MathBackendWebGL} from '../backend_webgl';\n\nexport const nonMaxSuppressionV5Config: KernelConfig = {\n  kernelName: NonMaxSuppressionV5,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n\n    const {boxes, scores} = inputs as NonMaxSuppressionV5Inputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as unknown as NonMaxSuppressionV5Attrs;\n\n    const gpuBackend = backend as MathBackendWebGL;\n\n    const boxesVals = gpuBackend.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = gpuBackend.readSync(scores.dataId) as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square, SquareInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\n\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {SQUARE, UnaryOpProgram} from '../unaryop_gpu';\n\nexport const squareConfig: KernelConfig = {\n  kernelName: Square,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const webglBackend = backend as MathBackendWebGL;\n    const program = new UnaryOpProgram(x.shape, SQUARE);\n    return webglBackend.runWebGLProgram(program, [x], x.dtype);\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {SquaredDifference, SquaredDifferenceInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {BinaryOpProgram} from '../binaryop_gpu';\nimport {BinaryOpPackedProgram} from '../binaryop_packed_gpu';\n\nexport const squaredDifferenceConfig: KernelConfig = {\n  kernelName: SquaredDifference,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {a, b} = inputs as SquaredDifferenceInputs;\n    const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n    const webGLBackend = backend as MathBackendWebGL;\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(SQUARED_DIFFERENCE, a.shape, b.shape) :\n        new BinaryOpProgram(SQUARED_DIFFERENCE, a.shape, b.shape);\n    return webGLBackend.compileAndRun(program, [a, b]);\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {TransposeProgram} from '../transpose_gpu';\nimport {TransposePackedProgram} from '../transpose_packed_gpu';\n\nexport function transposeImpl(\n    x: TensorInfo, perm: number[], backend: MathBackendWebGL): TensorInfo {\n  const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n      new TransposePackedProgram(x.shape, perm) :\n      new TransposeProgram(x.shape, perm);\n  return backend.runWebGLProgram(program, [x], x.dtype);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {Pool2DProgram} from '../pool_gpu';\n\nexport function maxPoolWithArgmaxImpl(\n    x: TensorInfo, includeBatchInIndex: boolean, convInfo: conv_util.Conv2DInfo,\n    backend: MathBackendWebGL): TensorInfo[] {\n  let program = new Pool2DProgram(convInfo, 'max', false);\n  const poolOutput = backend.runWebGLProgram(program, [x], 'float32');\n\n  program = new Pool2DProgram(convInfo, 'max', true, true, includeBatchInIndex);\n  const indexOutput = backend.runWebGLProgram(program, [x], 'float32');\n  return [poolOutput, indexOutput];\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {addGradConfig} from './gradients/Add_grad';\nimport {addNGradConfig} from './gradients/AddN_grad';\nimport {broadcastToGradConfig} from './gradients/BroadcastTo_grad';\nimport {divGradConfig} from './gradients/Div_grad';\nimport {fusedBatchNormGradConfig} from './gradients/FusedBatchNorm_grad';\nimport {identityGradConfig} from './gradients/Identity_grad';\nimport {oneHotGradConfig} from './gradients/OneHot_grad';\nimport {padV2GradConfig} from './gradients/PadV2_grad';\nimport {squareGradConfig} from './gradients/Square_grad';\nimport {squaredDifferenceGradConfig} from './gradients/SquaredDifference_grad';\nimport {tileGradConfig} from './gradients/Tile_grad';\nimport {transposeGradConfig} from './gradients/Transpose_grad';\nimport {GradConfig} from './kernel_registry';\nimport {registerGradient} from './kernel_registry';\n\n// Export all kernel configs here so that the package can auto register them\nconst gradConfigs: GradConfig[] = [\n  addGradConfig, addNGradConfig, broadcastToGradConfig, divGradConfig,\n  fusedBatchNormGradConfig, identityGradConfig, oneHotGradConfig,\n  padV2GradConfig, squareGradConfig, squaredDifferenceGradConfig,\n  tileGradConfig, transposeGradConfig\n];\n\nfor (const gradientConfig of gradConfigs) {\n  registerGradient(gradientConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Add} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport * as broadcast_util from '../ops/broadcast_util';\nimport {Tensor} from '../tensor';\n\nexport const addGradConfig: GradConfig = {\n  kernelName: Add,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const outShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes(a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape(a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes(b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape(b.shape);\n    };\n\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AddN} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const addNGradConfig: GradConfig = {\n  kernelName: AddN,\n  saveAllInputs: true,\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const ders: {[key: string]: () => Tensor} = {};\n    saved.forEach((_, i) => {\n      ders[i] = () => dy.clone();\n    });\n    return ders;\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BroadcastTo, BroadCastToAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const broadcastToGradConfig: GradConfig = {\n  kernelName: BroadcastTo,\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const broadCastToAttrs: BroadCastToAttrs =\n        attrs as unknown as BroadCastToAttrs;\n\n    const inputShape = broadCastToAttrs.inputShape;\n    const outputShape = broadCastToAttrs.shape;\n\n    const reps: number[] = Array.from(outputShape);\n    for (let i = inputShape.length - 1; i >= 0; i--) {\n      if (inputShape[i] === outputShape[i]) {\n        reps[i] = 1;\n      } else if (inputShape[i] !== 1) {\n        throw new Error(`broadcastTo(): [${\n            inputShape}] cannot be broadcast to [${outputShape}].`);\n      }\n    }\n    const axes: number[] = [];\n    for (let i = 0; i < reps.length; i++) {\n      if (reps[i] > 1) {\n        axes.push(i);\n      }\n    }\n    const keepDims = true;\n    return {x: () => dy.sum(axes, keepDims)};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport * as broadcast_util from '../ops/broadcast_util';\nimport {div} from '../ops/div';\nimport {sum} from '../ops/reduction_ops';\nimport {square} from '../ops/square';\nimport {neg} from '../ops/unary_ops';\nimport {Tensor} from '../tensor';\n\nexport const divGradConfig: GradConfig = {\n  kernelName: Div,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const outShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const derA = () => {\n      const res = div(dy, b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes(a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return sum(res, reduceAxes).reshape(a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul(a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes(b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = sum(res, reduceAxes).reshape(b.shape);\n      }\n      const tmp = square(b);\n      return neg(div(res, tmp.toFloat()));\n    };\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {FusedBatchNorm, FusedBatchNormAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {xAs4D} from '../ops/batchnorm_util';\nimport {getReductionAxes} from '../ops/broadcast_util';\nimport {add, mul, reshape, sub} from '../ops/ops';\nimport {sum} from '../ops/reduction_ops';\nimport {scalar} from '../ops/tensor_ops';\nimport {tile} from '../ops/tile';\nimport {rsqrt} from '../ops/unary_ops';\nimport {Tensor, Tensor4D} from '../tensor';\nimport {Rank, ShapeMap} from '../types';\n\nexport const fusedBatchNormGradConfig: GradConfig = {\n  kernelName: FusedBatchNorm,\n  inputsToSave: ['x', 'mean', 'variance', 'scale'],\n  gradFunc: <R extends Rank>(\n      dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const batchNormalizationAttrs: FusedBatchNormAttrs =\n        attrs as {} as FusedBatchNormAttrs;\n    const {varianceEpsilon} = batchNormalizationAttrs;\n    const [x, mean, variance, scale] = saved;\n\n    const x4D: Tensor4D = xAs4D(x);\n\n    const scaleValue = scale == null ? scalar(1) : scale;\n    const reductionAxes = getReductionAxes(mean.shape, x4D.shape);\n    const tileShape: number[] = [];\n    if (mean.rank === 1) {\n      for (let i = 0; i < x4D.shape.length - 1; ++i) {\n        tileShape.push(x4D.shape[i]);\n      }\n      tileShape.push(1);\n    }\n\n    const xMinusMean = sub(x, mean);\n    const dyTimesScaleValue = mul(dy, scaleValue);\n    const oneOverSqrtVariance = rsqrt(add(variance, scalar(varianceEpsilon)));\n    const minusHalfRCube = mul(\n        mul(mul(oneOverSqrtVariance, oneOverSqrtVariance), oneOverSqrtVariance),\n        scalar(-0.5));\n\n    const derX = () => {\n      if (mean.rank === 1) {\n        return reshape(\n            mul(mul(dy,\n                    tile(\n                        oneOverSqrtVariance.as4D(1, 1, 1, mean.shape[0]),\n                        tileShape)),\n                scaleValue),\n            x.shape);\n      } else {\n        return reshape(mul(mul(dy, oneOverSqrtVariance), scaleValue), x.shape);\n      }\n    };\n    const derMean = () => {\n      let meanDer =\n          mul(mul(oneOverSqrtVariance, scalar(-1)), dyTimesScaleValue);\n      if (mean.rank === 1) {\n        meanDer = sum(meanDer, reductionAxes);\n      }\n      return reshape(meanDer, mean.shape as ShapeMap[R]);\n    };\n    const derVariance = () => {\n      let varianceDer = mul(mul(minusHalfRCube, xMinusMean), dyTimesScaleValue);\n\n      if (mean.rank === 1) {\n        varianceDer = sum(varianceDer, reductionAxes);\n      }\n      return reshape(varianceDer, mean.shape as ShapeMap[R]);\n    };\n    const derScale = () => {\n      const xMinusMean2TimesRsqrt = mul(xMinusMean, oneOverSqrtVariance);\n\n      let scaleDer = mul(dy, xMinusMean2TimesRsqrt);\n      if (mean.rank === 1) {\n        scaleDer = sum(scaleDer, reductionAxes);\n      }\n      return reshape(scaleDer, mean.shape as ShapeMap[R]);\n    };\n    const derOffset = () => {\n      let offsetDer = dy;\n      if (mean.rank === 1) {\n        offsetDer = sum(offsetDer, reductionAxes);\n      }\n      return reshape(offsetDer, mean.shape as ShapeMap[R]);\n    };\n    return {\n      x: derX,\n      mean: derMean,\n      variance: derVariance,\n      scale: derScale,\n      offset: derOffset\n    };\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Identity} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const identityGradConfig: GradConfig = {\n  kernelName: Identity,\n  gradFunc: (dy: Tensor) => {\n    return {x: () => dy.toFloat()};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OneHot} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const oneHotGradConfig: GradConfig = {\n  kernelName: OneHot,\n  inputsToSave: ['indices'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const indices = saved[0];\n    return {indices: () => zeros(indices.shape, 'float32')};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PadV2, PadV2Attrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const padV2GradConfig: GradConfig = {\n  kernelName: PadV2,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    // Pad introduces values around the original tensor, so the gradient\n    // slices the original shape out of the gradient.\n    const x = saved[0];\n    const {paddings} = attrs as unknown as PadV2Attrs;\n    const begin = paddings.map(p => p[0]);\n    return {x: () => dy.slice(begin, x.shape)};\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const squareGradConfig: GradConfig = {\n  kernelName: Square,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [x] = saved;\n    return {x: () => dy.mul(x.toFloat().mul(2))};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SquaredDifference} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {mul, sub} from '../ops/binary_ops';\nimport {scalar} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const squaredDifferenceGradConfig: GradConfig = {\n  kernelName: SquaredDifference,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const two = scalar(2);\n    const derA = () => mul(dy, mul(two, sub(a, b)));\n    const derB = () => mul(dy, mul(two, sub(b, a)));\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tile, TileAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {zerosLike} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const tileGradConfig: GradConfig = {\n  kernelName: Tile,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const [x] = saved;\n    const {reps} = attrs as unknown as TileAttrs;\n\n    const derX = () => {\n      let xGrad = zerosLike(x);\n      // TODO(cais): Maybe reduce memory footprint by avoiding repeated\n      // slicing.\n      if (x.rank === 1) {\n        for (let i = 0; i < reps[0]; ++i) {\n          xGrad = xGrad.add(dy.slice([i * x.shape[0]], [x.shape[0]]));\n        }\n      } else if (x.rank === 2) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            xGrad = xGrad.add(dy.slice(\n                [i * x.shape[0], j * x.shape[1]], [x.shape[0], x.shape[1]]));\n          }\n        }\n      } else if (x.rank === 3) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              xGrad = xGrad.add(dy.slice(\n                  [i * x.shape[0], j * x.shape[1], k * x.shape[2]],\n                  [x.shape[0], x.shape[1], x.shape[2]]));\n            }\n          }\n        }\n      } else if (x.rank === 4) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              for (let l = 0; l < reps[3]; ++l) {\n                xGrad = xGrad.add(dy.slice(\n                    [\n                      i * x.shape[0], j * x.shape[1], k * x.shape[2],\n                      l * x.shape[3]\n                    ],\n                    [x.shape[0], x.shape[1], x.shape[2], x.shape[3]]));\n              }\n            }\n          }\n        }\n      } else {\n        throw new Error(\n            `Gradient for tile operation is not implemented for rank-` +\n            `${x.rank} tensors yet.`);\n      }\n      return xGrad;\n    };\n    return {x: derX};\n  },\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Transpose, TransposeAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport * as axis_util from '../ops/axis_util';\nimport {transpose} from '../ops/transpose';\nimport {Tensor} from '../tensor';\n\nexport const transposeGradConfig: GradConfig = {\n  kernelName: Transpose,\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const transposeAttrs: TransposeAttrs = attrs as {} as TransposeAttrs;\n    const {perm} = transposeAttrs;\n    const undoPerm = axis_util.getUndoAxesPermutation(perm);\n    return {x: () => transpose(dy, undoPerm)};\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\nexport class PlatformBrowser implements Platform {\n  // According to the spec, the built-in encoder can do only UTF-8 encoding.\n  // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n  private textEncoder: TextEncoder;\n\n  fetch(path: string, init?: RequestInit): Promise<Response> {\n    return fetch(path, init);\n  }\n\n  now(): number {\n    return performance.now();\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Browser's encoder only supports utf-8, but got ${encoding}`);\n    }\n    if (this.textEncoder == null) {\n      this.textEncoder = new TextEncoder();\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    return new TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_BROWSER')) {\n  env().setPlatform('browser', new PlatformBrowser());\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\n// We are wrapping this within an object so it can be stubbed by Jasmine.\nexport const getNodeFetch = {\n  // tslint:disable-next-line:no-require-imports\n  importFetch: () => require('node-fetch')\n};\n\ntype FetchFn = (url: string, init?: RequestInit) => Promise<Response>;\nlet systemFetch: FetchFn;\n// These getters and setters are for testing so we don't export a mutable\n// variable.\nexport function resetSystemFetch() {\n  systemFetch = null;\n}\nexport function setSystemFetch(fetchFn: FetchFn) {\n  systemFetch = fetchFn;\n}\nexport function getSystemFetch(): FetchFn {\n  return systemFetch;\n}\n\nexport class PlatformNode implements Platform {\n  private textEncoder: TextEncoder;\n  // tslint:disable-next-line:no-any\n  util: any;\n\n  constructor() {\n    // tslint:disable-next-line:no-require-imports\n    this.util = require('util');\n    // According to the spec, the built-in encoder can do only UTF-8 encoding.\n    // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n    this.textEncoder = new this.util.TextEncoder();\n  }\n\n  fetch(path: string, requestInits?: RequestInit): Promise<Response> {\n    if (env().global.fetch != null) {\n      return env().global.fetch(path, requestInits);\n    }\n\n    if (systemFetch == null) {\n      systemFetch = getNodeFetch.importFetch();\n    }\n    return systemFetch(path, requestInits);\n  }\n\n  now(): number {\n    const time = process.hrtime();\n    return time[0] * 1000 + time[1] / 1000000;\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Node built-in encoder only supports utf-8, but got ${encoding}`);\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    if (bytes.length === 0) {\n      return '';\n    }\n    return new this.util.TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_NODE')) {\n  env().setPlatform('node', new PlatformNode());\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/* Type definitions for exporting and importing of models. */\n\n/**\n * A map from Tensor dtype to number of bytes per element of the Tensor.\n */\nexport const DTYPE_VALUE_SIZE_MAP: {[dtype: string]: number} = {\n  'float32': 4,\n  'int32': 4,\n  'uint16': 2,\n  'uint8': 1,\n  'bool': 1,\n};\n\n/**\n * A weight manifest.\n *\n * The weight manifest consists of an ordered list of weight-manifest groups.\n * Each weight-manifest group (\"group\" for short hereafter) consists of a\n * number of weight values stored in a number of paths.\n * See the documentation of `WeightManifestGroupConfig` below for more details.\n */\nexport declare type WeightsManifestConfig = WeightsManifestGroupConfig[];\n\n/**\n * A weight-manifest group.\n *\n * Consists of an ordered list of weight values encoded in binary format,\n * stored in an ordered list of paths.\n */\nexport declare interface WeightsManifestGroupConfig {\n  /**\n   * An ordered list of paths.\n   *\n   * Paths are intentionally abstract in order to be general. For example, they\n   * can be relative URL paths or relative paths on the file system.\n   */\n  paths: string[];\n\n  /**\n   * Specifications of the weights stored in the paths.\n   */\n  weights: WeightsManifestEntry[];\n}\n\n/**\n * Group to which the weight belongs.\n *\n * - 'optimizer': Weight from a stateful optimizer.\n */\nexport type WeightGroup = 'model'|'optimizer';\n\n/**\n * An entry in the weight manifest.\n *\n * The entry contains specification of a weight.\n */\nexport declare interface WeightsManifestEntry {\n  /**\n   * Name of the weight, e.g., 'Dense_1/bias'\n   */\n  name: string;\n\n  /**\n   * Shape of the weight.\n   */\n  shape: number[];\n\n  /**\n   * Data type of the weight.\n   */\n  dtype: 'float32'|'int32'|'bool'|'string';\n\n  /**\n   * Type of the weight.\n   *\n   * Optional.\n   *\n   * The value 'optimizer' indicates the weight belongs to an optimizer\n   * (i.e., used only during model training and not during inference).\n   */\n  group?: WeightGroup;\n\n  /**\n   * Information for dequantization of the weight.\n   */\n  quantization?: {\n    scale: number,           // The scaling constant to multiply by.\n    min: number,             // The (possibly nudged) minimum weight to add.\n    dtype: 'uint16'|'uint8'  // The dtype of the quantized weights.\n  };\n}\n\n/**\n * Options for saving a model.\n * @innamespace io\n */\nexport interface SaveConfig {\n  /**\n   * Whether to save only the trainable weights of the model, ignoring the\n   * non-trainable ones.\n   */\n  trainableOnly?: boolean;\n\n  /**\n   * Whether the optimizer will be saved (if exists).\n   *\n   * Default: `false`.\n   */\n  includeOptimizer?: boolean;\n}\n\n/**\n * Result of a saving operation.\n */\nexport interface SaveResult {\n  /**\n   * Information about the model artifacts saved.\n   */\n  modelArtifactsInfo: ModelArtifactsInfo;\n\n  /**\n   * HTTP responses from the server that handled the model-saving request (if\n   * any). This is applicable only to server-based saving routes.\n   */\n  responses?: Response[];\n\n  /**\n   * Error messages and related data (if any).\n   */\n  errors?: Array<{}|string>;\n}\n\nexport declare interface ModelArtifactsInfo {\n  /**\n   * Timestamp for when the model is saved.\n   */\n  dateSaved: Date;\n\n  /**\n   * TODO (cais,yassogba) consider removing GraphDef as GraphDefs now\n   * come in a JSON format and none of our IOHandlers support a non json\n   * format. We could conder replacing this with 'Binary' if we want to\n   * allow future handlers to save to non json formats (though they will\n   * probably want more information than 'Binary').\n   * Type of the model topology\n   *\n   * Type of the model topology\n   *\n   * Possible values:\n   *   - JSON: JSON config (human-readable, e.g., Keras JSON).\n   *   - GraphDef: TensorFlow\n   *     [GraphDef](https://www.tensorflow.org/extend/tool_developers/#graphdef)\n   *     protocol buffer (binary).\n   */\n  modelTopologyType: 'JSON'|'GraphDef';\n\n  /**\n   * Size of model topology (Keras JSON or GraphDef), in bytes.\n   */\n  modelTopologyBytes?: number;\n\n  /**\n   * Size of weight specification or manifest, in bytes.\n   */\n  weightSpecsBytes?: number;\n\n  /**\n   * Size of weight value data, in bytes.\n   */\n  weightDataBytes?: number;\n}\n\n/** Model training configuration. */\nexport declare interface TrainingConfig {\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  // See\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tfjs-layers/blob/master/src/keras_format/training_config.ts\n  /** Optimizer used for the model training. */\n  optimizer_config: {};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Loss function(s) for the model's output(s). */\n  loss: string|string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Metric function(s) for the model's output(s). */\n  metrics?: string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  weighted_metrics?: string[];\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  sample_weight_mode?: string;\n\n  loss_weights?: number[]|{[key: string]: number};\n}\n\n/**\n * The serialized artifacts of a model, including topology and weights.\n *\n * The `modelTopology`, `trainingConfig`, `weightSpecs` and `weightData` fields\n * of this interface are optional, in order to support topology- or weights-only\n * saving and loading.\n *\n * Note this interface is used internally in IOHandlers.  For the file format\n * written to disk as `model.json`, see `ModelJSON`.\n */\nexport declare interface ModelArtifacts {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology?: {}|ArrayBuffer;\n\n  /**\n   * Serialized configuration for the model's training.\n   */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weight specifications.\n   *\n   * This corresponds to the weightsData below.\n   */\n  weightSpecs?: WeightsManifestEntry[];\n\n  /**\n   * Binary buffer for all weight values concatenated in the order specified\n   * by `weightSpecs`.\n   */\n  weightData?: ArrayBuffer;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * The on-disk format of the `model.json` file.\n *\n * TF.js 1.0 always populates the optional fields when writing model.json.\n * Prior versions did not provide those fields.\n */\nexport declare interface ModelJSON {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology: {};\n\n  /** Model training configuration. */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weights manifest.\n   *\n   * The weights manifest consists of an ordered list of weight-manifest\n   * groups. Each weight-manifest group consists of a number of weight values\n   * stored in a number of paths. See the documentation of\n   * `WeightsManifestConfig` for more details.\n   */\n  weightsManifest: WeightsManifestConfig;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * Type definition for handlers of loading operations.\n */\nexport type LoadHandler = () => Promise<ModelArtifacts>;\n\n/**\n * Type definition for handlers of saving operations.\n */\nexport type SaveHandler = (modelArtifact: ModelArtifacts) =>\n    Promise<SaveResult>;\n\n/**\n * Interface for a model import/export handler.\n *\n * The `save` and `load` handlers are both optional, in order to allow handlers\n * that support only saving or loading.\n */\n// tslint:disable-next-line:interface-name\nexport interface IOHandler {\n  save?: SaveHandler;\n  load?: LoadHandler;\n}\n\n/**\n * An interface for the manager of a model store.\n *\n * A model store is defined as a storage medium on which multiple models can\n * be stored. Each stored model has a unique `path` as its identifier.\n * A `ModelStoreManager` for the store allows actions including\n *\n * - Listing the models stored in the store.\n * - Deleting a model from the store.\n */\nexport interface ModelStoreManager {\n  /**\n   * List all models in the model store.\n   *\n   * @returns A dictionary mapping paths of existing models to their\n   *   model artifacts info. Model artifacts info include type of the model's\n   *   topology, byte sizes of the topology, weights, etc.\n   */\n  listModels(): Promise<{[path: string]: ModelArtifactsInfo}>;\n\n  /**\n   * Remove a model specified by `path`.\n   *\n   * @param path\n   * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n   *   is successful).\n   * @throws Error if deletion fails, e.g., if no model exists at `path`.\n   */\n  removeModel(path: string): Promise<ModelArtifactsInfo>;\n}\n\n/**\n * Callback for the progress of a long-running action such as an HTTP\n * request for a large binary object.\n *\n * `fraction` should be a number in the [0, 1] interval, indicating how\n * much of the action has completed.\n */\nexport type OnProgressCallback = (fraction: number) => void;\n\n/** @innamespace io */\nexport interface LoadOptions {\n  /**\n   * RequestInit (options) for HTTP requests.\n   *\n   * For detailed information on the supported fields, see\n   * [https://developer.mozilla.org/en-US/docs/Web/API/Request/Request](\n   *     https://developer.mozilla.org/en-US/docs/Web/API/Request/Request)\n   */\n  requestInit?: RequestInit;\n\n  /**\n   * Progress callback.\n   */\n  onProgress?: OnProgressCallback;\n\n  /**\n   * A function used to override the `window.fetch` function.\n   */\n  fetchFunc?: Function;\n\n  /**\n   * Strict loading model: whether extraneous weights or missing\n   * weights should trigger an `Error`.\n   *\n   * If `true`, require that the provided weights exactly match those\n   * required by the layers. `false` means that both extra weights\n   * and missing weights will be silently ignored.\n   *\n   * Default: `true`.\n   */\n  strict?: boolean;\n\n  /**\n   * Path prefix for weight files, by default this is calculated from the\n   * path of the model JSON file.\n   *\n   * For instance, if the path to the model JSON file is\n   * `http://localhost/foo/model.json`, then the default path prefix will be\n   * `http://localhost/foo/`. If a weight file has the path value\n   * `group1-shard1of2` in the weight manifest, then the weight file will be\n   * loaded from `http://localhost/foo/group1-shard1of2` by default. However,\n   * if you provide a `weightPathPrefix` value of\n   * `http://localhost/foo/alt-weights`, then the weight file will be loaded\n   * from the path `http://localhost/foo/alt-weights/group1-shard1of2` instead.\n   */\n  weightPathPrefix?: string;\n\n  /**\n   * Whether the module or model is to be loaded from TF Hub.\n   *\n   * Setting this to `true` allows passing a TF-Hub module URL, omitting the\n   * standard model file name and the query parameters.\n   *\n   * Default: `false`.\n   */\n  fromTFHub?: boolean;\n}\n\n/**\n * Additional options for Platform.fetch\n */\nexport interface RequestDetails {\n  /**\n   * Is this request for a binary file (as opposed to a json file)\n   */\n  isBinary?: boolean;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {DTYPE_VALUE_SIZE_MAP, ModelArtifacts, ModelArtifactsInfo, WeightGroup, WeightsManifestEntry} from './types';\n\n/** Number of bytes reserved for the length of the string. (32bit integer). */\nconst NUM_BYTES_STRING_LENGTH = 4;\n\n/**\n * Encode a map from names to weight values as an ArrayBuffer, along with an\n * `Array` of `WeightsManifestEntry` as specification of the encoded weights.\n *\n * This function does not perform sharding.\n *\n * This function is the reverse of `decodeWeights`.\n *\n * @param tensors A map (\"dict\") from names to tensors.\n * @param group Group to which the weights belong (optional).\n * @returns A `Promise` of\n *   - A flat `ArrayBuffer` with all the binary values of the `Tensor`s\n *     concatenated.\n *   - An `Array` of `WeightManifestEntry`s, carrying information including\n *     tensor names, `dtype`s and shapes.\n * @throws Error: on unsupported tensor `dtype`.\n */\nexport async function encodeWeights(\n    tensors: NamedTensorMap|NamedTensor[], group?: WeightGroup):\n    Promise<{data: ArrayBuffer, specs: WeightsManifestEntry[]}> {\n  // TODO(adarob, cais): Support quantization.\n  const specs: WeightsManifestEntry[] = [];\n  const dataPromises: Array<Promise<TypedArray>> = [];\n\n  const names: string[] = Array.isArray(tensors) ?\n      tensors.map(tensor => tensor.name) :\n      Object.keys(tensors);\n\n  for (let i = 0; i < names.length; ++i) {\n    const name = names[i];\n    const t = Array.isArray(tensors) ? tensors[i].tensor : tensors[name];\n    if (t.dtype !== 'float32' && t.dtype !== 'int32' && t.dtype !== 'bool' &&\n        t.dtype !== 'string') {\n      throw new Error(`Unsupported dtype in weight '${name}': ${t.dtype}`);\n    }\n    const spec: WeightsManifestEntry = {name, shape: t.shape, dtype: t.dtype};\n    if (t.dtype === 'string') {\n      const utf8bytes = new Promise<TypedArray>(async resolve => {\n        const vals = await t.bytes() as Uint8Array[];\n        const totalNumBytes = vals.reduce((p, c) => p + c.length, 0) +\n            NUM_BYTES_STRING_LENGTH * vals.length;\n        const bytes = new Uint8Array(totalNumBytes);\n        let offset = 0;\n        for (let i = 0; i < vals.length; i++) {\n          const val = vals[i];\n          const bytesOfLength =\n              new Uint8Array(new Uint32Array([val.length]).buffer);\n          bytes.set(bytesOfLength, offset);\n          offset += NUM_BYTES_STRING_LENGTH;\n          bytes.set(val, offset);\n          offset += val.length;\n        }\n        resolve(bytes);\n      });\n      dataPromises.push(utf8bytes);\n    } else {\n      dataPromises.push(t.data());\n    }\n    if (group != null) {\n      spec.group = group;\n    }\n    specs.push(spec);\n  }\n\n  const tensorValues = await Promise.all(dataPromises);\n  return {data: concatenateTypedArrays(tensorValues), specs};\n}\n\n/**\n * Decode flat ArrayBuffer as weights.\n *\n * This function does not handle sharding.\n *\n * This function is the reverse of `encodeWeights`.\n *\n * @param buffer A flat ArrayBuffer carrying the binary values of the tensors\n *   concatenated in the order specified in `specs`.\n * @param specs Specifications of the names, dtypes and shapes of the tensors\n *   whose value are encoded by `buffer`.\n * @return A map from tensor name to tensor value, with the names corresponding\n *   to names in `specs`.\n * @throws Error, if any of the tensors has unsupported dtype.\n */\nexport function decodeWeights(\n    buffer: ArrayBuffer, specs: WeightsManifestEntry[]): NamedTensorMap {\n  // TODO(adarob, cais): Support quantization.\n  const out: NamedTensorMap = {};\n  let offset = 0;\n  for (const spec of specs) {\n    const name = spec.name;\n    const dtype = spec.dtype;\n    const shape = spec.shape;\n    const size = sizeFromShape(shape);\n    let values: TypedArray|string[]|Uint8Array[];\n\n    if ('quantization' in spec) {\n      const quantization = spec.quantization;\n      if (quantization.dtype !== 'uint8' && quantization.dtype !== 'uint16') {\n        throw new Error(\n            `Weight ${spec.name} has unknown ` +\n            `quantization dtype ${quantization.dtype}. ` +\n            `Supported quantization dtypes are: 'uint8' and 'uint16'.`);\n      }\n      const quantizationSizeFactor = DTYPE_VALUE_SIZE_MAP[quantization.dtype];\n      const byteBuffer =\n          buffer.slice(offset, offset + size * quantizationSizeFactor);\n      const quantizedArray = (quantization.dtype === 'uint8') ?\n          new Uint8Array(byteBuffer) :\n          new Uint16Array(byteBuffer);\n      if (dtype === 'float32') {\n        values = Float32Array.from(\n            quantizedArray, v => v * quantization.scale + quantization.min);\n      } else if (dtype === 'int32') {\n        values = Int32Array.from(\n            quantizedArray,\n            v => Math.round(v * quantization.scale + quantization.min));\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * quantizationSizeFactor;\n    } else if (dtype === 'string') {\n      const size = sizeFromShape(spec.shape);\n      values = [];\n      for (let i = 0; i < size; i++) {\n        const byteLength = new Uint32Array(\n            buffer.slice(offset, offset + NUM_BYTES_STRING_LENGTH))[0];\n        offset += NUM_BYTES_STRING_LENGTH;\n        const bytes = new Uint8Array(buffer.slice(offset, offset + byteLength));\n        (values as Uint8Array[]).push(bytes);\n        offset += byteLength;\n      }\n    } else {\n      const dtypeFactor = DTYPE_VALUE_SIZE_MAP[dtype];\n      const byteBuffer = buffer.slice(offset, offset + size * dtypeFactor);\n\n      if (dtype === 'float32') {\n        values = new Float32Array(byteBuffer);\n      } else if (dtype === 'int32') {\n        values = new Int32Array(byteBuffer);\n      } else if (dtype === 'bool') {\n        values = new Uint8Array(byteBuffer);\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * dtypeFactor;\n    }\n\n    out[name] = tensor(values, shape, dtype);\n  }\n  return out;\n}\n\n/**\n * Concatenate TypedArrays into an ArrayBuffer.\n */\nexport function concatenateTypedArrays(xs: TypedArray[]): ArrayBuffer {\n  // TODO(adarob, cais): Support quantization.\n  if (xs === null) {\n    throw new Error(`Invalid input value: ${JSON.stringify(xs)}`);\n  }\n\n  let totalByteLength = 0;\n\n  // `normalizedXs` is here for this reason: a `TypedArray`'s `buffer'\n  // can have a different byte length from that of the `TypedArray` itself,\n  // for example, when the `TypedArray` is created from an offset in an\n  // `ArrayBuffer`. `normliazedXs` holds `TypedArray`s whose `buffer`s match\n  // the `TypedArray` in byte length. If an element of `xs` does not show\n  // this property, a new `TypedArray` that satisfy this property will be\n  // constructed and pushed into `normalizedXs`.\n  const normalizedXs: TypedArray[] = [];\n  xs.forEach((x: TypedArray) => {\n    totalByteLength += x.byteLength;\n    // tslint:disable:no-any\n    normalizedXs.push(\n        x.byteLength === x.buffer.byteLength ? x :\n                                               new (x.constructor as any)(x));\n    if (!(x as any instanceof Float32Array || x as any instanceof Int32Array ||\n          x as any instanceof Uint8Array)) {\n      throw new Error(`Unsupported TypedArray subtype: ${x.constructor.name}`);\n    }\n    // tslint:enable:no-any\n  });\n\n  const y = new Uint8Array(totalByteLength);\n  let offset = 0;\n  normalizedXs.forEach((x: TypedArray) => {\n    y.set(new Uint8Array(x.buffer), offset);\n    offset += x.byteLength;\n  });\n\n  return y.buffer;\n}\n\n// Use Buffer on Node.js instead of Blob/atob/btoa\nconst useNodeBuffer = typeof Buffer !== 'undefined' &&\n    (typeof Blob === 'undefined' || typeof atob === 'undefined' ||\n     typeof btoa === 'undefined');\n\n/**\n * Calculate the byte length of a JavaScript string.\n *\n * Note that a JavaScript string can contain wide characters, therefore the\n * length of the string is not necessarily equal to the byte length.\n *\n * @param str Input string.\n * @returns Byte length.\n */\nexport function stringByteLength(str: string): number {\n  if (useNodeBuffer) {\n    return Buffer.byteLength(str);\n  }\n  return new Blob([str]).size;\n}\n\n/**\n * Encode an ArrayBuffer as a base64 encoded string.\n *\n * @param buffer `ArrayBuffer` to be converted.\n * @returns A string that base64-encodes `buffer`.\n */\nexport function arrayBufferToBase64String(buffer: ArrayBuffer): string {\n  if (useNodeBuffer) {\n    return Buffer.from(buffer).toString('base64');\n  }\n  const buf = new Uint8Array(buffer);\n  let s = '';\n  for (let i = 0, l = buf.length; i < l; i++) {\n    s += String.fromCharCode(buf[i]);\n  }\n  return btoa(s);\n}\n\n/**\n * Decode a base64 string as an ArrayBuffer.\n *\n * @param str Base64 string.\n * @returns Decoded `ArrayBuffer`.\n */\nexport function base64StringToArrayBuffer(str: string): ArrayBuffer {\n  if (useNodeBuffer) {\n    const buf = Buffer.from(str, 'base64');\n    return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);\n  }\n  const s = atob(str);\n  const buffer = new Uint8Array(s.length);\n  for (let i = 0; i < s.length; ++i) {\n    buffer.set([s.charCodeAt(i)], i);\n  }\n  return buffer.buffer;\n}\n\n/**\n * Concatenate a number of ArrayBuffers into one.\n *\n * @param buffers A number of array buffers to concatenate.\n * @returns Result of concatenating `buffers` in order.\n */\nexport function concatenateArrayBuffers(buffers: ArrayBuffer[]): ArrayBuffer {\n  let totalByteLength = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    totalByteLength += buffer.byteLength;\n  });\n\n  const temp = new Uint8Array(totalByteLength);\n  let offset = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    temp.set(new Uint8Array(buffer), offset);\n    offset += buffer.byteLength;\n  });\n  return temp.buffer;\n}\n\n/**\n * Get the basename of a path.\n *\n * Behaves in a way analogous to Linux's basename command.\n *\n * @param path\n */\nexport function basename(path: string): string {\n  const SEPARATOR = '/';\n  path = path.trim();\n  while (path.endsWith(SEPARATOR)) {\n    path = path.slice(0, path.length - 1);\n  }\n  const items = path.split(SEPARATOR);\n  return items[items.length - 1];\n}\n\n/**\n * Populate ModelArtifactsInfo fields for a model with JSON topology.\n * @param modelArtifacts\n * @returns A ModelArtifactsInfo object.\n */\nexport function getModelArtifactsInfoForJSON(modelArtifacts: ModelArtifacts):\n    ModelArtifactsInfo {\n  if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n    throw new Error('Expected JSON model topology, received ArrayBuffer.');\n  }\n\n  return {\n    dateSaved: new Date(),\n    modelTopologyType: 'JSON',\n    modelTopologyBytes: modelArtifacts.modelTopology == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),\n    weightSpecsBytes: modelArtifacts.weightSpecs == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),\n    weightDataBytes: modelArtifacts.weightData == null ?\n        0 :\n        modelArtifacts.weightData.byteLength,\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IOHandler} from './types';\n\nexport type IORouter = (url: string|string[], onProgress?: Function) =>\n    IOHandler;\n\nexport class IORouterRegistry {\n  // Singleton instance.\n  private static instance: IORouterRegistry;\n\n  private saveRouters: IORouter[];\n  private loadRouters: IORouter[];\n\n  private constructor() {\n    this.saveRouters = [];\n    this.loadRouters = [];\n  }\n\n  private static getInstance(): IORouterRegistry {\n    if (IORouterRegistry.instance == null) {\n      IORouterRegistry.instance = new IORouterRegistry();\n    }\n    return IORouterRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerSaveRouter(saveRouter: IORouter) {\n    IORouterRegistry.getInstance().saveRouters.push(saveRouter);\n  }\n\n  /**\n   * Register a load-handler router.\n   *\n   * @param loadRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `load` method defined or `null`.\n   */\n  static registerLoadRouter(loadRouter: IORouter) {\n    IORouterRegistry.getInstance().loadRouters.push(loadRouter);\n  }\n\n  /**\n   * Look up IOHandler for saving, given a URL-like string.\n   *\n   * @param url\n   * @returns If only one match is found, an instance of IOHandler with the\n   * `save` method defined. If no match is found, `null`.\n   * @throws Error, if more than one match is found.\n   */\n  static getSaveHandlers(url: string|string[]): IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'save');\n  }\n\n  /**\n   * Look up IOHandler for loading, given a URL-like string.\n   *\n   * @param url\n   * @param onProgress Optional, progress callback function, fired periodically\n   *   before the load is completed.\n   * @returns All valid handlers for `url`, given the currently registered\n   *   handler routers.\n   */\n  static getLoadHandlers(url: string|string[], onProgress?: Function):\n      IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'load', onProgress);\n  }\n\n  private static getHandlers(\n      url: string|string[], handlerType: 'save'|'load',\n      onProgress?: Function): IOHandler[] {\n    const validHandlers: IOHandler[] = [];\n    const routers = handlerType === 'load' ?\n        IORouterRegistry.getInstance().loadRouters :\n        IORouterRegistry.getInstance().saveRouters;\n    routers.forEach(router => {\n      const handler = router(url, onProgress);\n      if (handler !== null) {\n        validHandlers.push(handler);\n      }\n    });\n    return validHandlers;\n  }\n}\n\nexport const registerSaveRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerSaveRouter(loudRouter);\nexport const registerLoadRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerLoadRouter(loudRouter);\nexport const getSaveHandlers = (url: string|string[]) =>\n    IORouterRegistry.getSaveHandlers(url);\nexport const getLoadHandlers = (url: string|string[], onProgress?: Function) =>\n    IORouterRegistry.getLoadHandlers(url, onProgress);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Classes and functions for model management across multiple storage mediums.\n *\n * Supported client actions:\n * - Listing models on all registered storage mediums.\n * - Remove model by URL from any registered storage mediums, by using URL\n *   string.\n * - Moving or copying model from one path to another in the same medium or from\n *   one medium to another, by using URL strings.\n */\n\nimport {assert} from '../util';\n\nimport {IORouterRegistry} from './router_registry';\nimport {ModelArtifactsInfo, ModelStoreManager} from './types';\n\nconst URL_SCHEME_SUFFIX = '://';\n\nexport class ModelStoreManagerRegistry {\n  // Singleton instance.\n  private static instance: ModelStoreManagerRegistry;\n\n  private managers: {[scheme: string]: ModelStoreManager};\n\n  private constructor() {\n    this.managers = {};\n  }\n\n  private static getInstance(): ModelStoreManagerRegistry {\n    if (ModelStoreManagerRegistry.instance == null) {\n      ModelStoreManagerRegistry.instance = new ModelStoreManagerRegistry();\n    }\n    return ModelStoreManagerRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerManager(scheme: string, manager: ModelStoreManager) {\n    assert(scheme != null, () => 'scheme must not be undefined or null.');\n    if (scheme.endsWith(URL_SCHEME_SUFFIX)) {\n      scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));\n    }\n    assert(scheme.length > 0, () => 'scheme must not be an empty string.');\n    const registry = ModelStoreManagerRegistry.getInstance();\n    assert(\n        registry.managers[scheme] == null,\n        () => `A model store manager is already registered for scheme '${\n            scheme}'.`);\n    registry.managers[scheme] = manager;\n  }\n\n  static getManager(scheme: string): ModelStoreManager {\n    const manager = this.getInstance().managers[scheme];\n    if (manager == null) {\n      throw new Error(`Cannot find model manager for scheme '${scheme}'`);\n    }\n    return manager;\n  }\n\n  static getSchemes(): string[] {\n    return Object.keys(this.getInstance().managers);\n  }\n}\n\n/**\n * Helper method for parsing a URL string into a scheme and a path.\n *\n * @param url E.g., 'localstorage://my-model'\n * @returns A dictionary with two fields: scheme and path.\n *   Scheme: e.g., 'localstorage' in the example above.\n *   Path: e.g., 'my-model' in the example above.\n */\nfunction parseURL(url: string): {scheme: string, path: string} {\n  if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {\n    throw new Error(\n        `The url string provided does not contain a scheme. ` +\n        `Supported schemes are: ` +\n        `${ModelStoreManagerRegistry.getSchemes().join(',')}`);\n  }\n  return {\n    scheme: url.split(URL_SCHEME_SUFFIX)[0],\n    path: url.split(URL_SCHEME_SUFFIX)[1],\n  };\n}\n\nasync function cloneModelInternal(\n    sourceURL: string, destURL: string,\n    deleteSource = false): Promise<ModelArtifactsInfo> {\n  assert(\n      sourceURL !== destURL,\n      () => `Old path and new path are the same: '${sourceURL}'`);\n\n  const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);\n  assert(\n      loadHandlers.length > 0,\n      () => `Copying failed because no load handler is found for source URL ${\n          sourceURL}.`);\n  assert(\n      loadHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `load handlers for source URL ${sourceURL}.`);\n  const loadHandler = loadHandlers[0];\n\n  const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);\n  assert(\n      saveHandlers.length > 0,\n      () => `Copying failed because no save handler is found for destination ` +\n          `URL ${destURL}.`);\n  assert(\n      saveHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `save handlers for destination URL ${destURL}.`);\n  const saveHandler = saveHandlers[0];\n\n  const sourceScheme = parseURL(sourceURL).scheme;\n  const sourcePath = parseURL(sourceURL).path;\n  const sameMedium = sourceScheme === parseURL(sourceURL).scheme;\n\n  const modelArtifacts = await loadHandler.load();\n\n  // If moving within the same storage medium, remove the old model as soon as\n  // the loading is done. Without doing this, it is possible that the combined\n  // size of the two models will cause the cloning to fail.\n  if (deleteSource && sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  const saveResult = await saveHandler.save(modelArtifacts);\n\n  // If moving between mediums, the deletion is done after the save succeeds.\n  // This guards against the case in which saving to the destination medium\n  // fails.\n  if (deleteSource && !sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  return saveResult.modelArtifactsInfo;\n}\n\n/**\n * List all models stored in registered storage mediums.\n *\n * For a web browser environment, the registered mediums are Local Storage and\n * IndexedDB.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @returns A `Promise` of a dictionary mapping URLs of existing models to\n * their model artifacts info. URLs include medium-specific schemes, e.g.,\n *   'indexeddb://my/model/1'. Model artifacts info include type of the\n * model's topology, byte sizes of the topology, weights, etc.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function listModels(): Promise<{[url: string]: ModelArtifactsInfo}> {\n  const schemes = ModelStoreManagerRegistry.getSchemes();\n  const out: {[url: string]: ModelArtifactsInfo} = {};\n  for (const scheme of schemes) {\n    const schemeOut =\n        await ModelStoreManagerRegistry.getManager(scheme).listModels();\n    for (const path in schemeOut) {\n      const url = scheme + URL_SCHEME_SUFFIX + path;\n      out[url] = schemeOut[path];\n    }\n  }\n  return out;\n}\n\n/**\n * Remove a model specified by URL from a reigstered storage medium.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @param url A URL to a stored model, with a scheme prefix, e.g.,\n *   'localstorage://my-model-1', 'indexeddb://my/model/2'.\n * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n *   is successful).\n * @throws Error if deletion fails, e.g., if no model exists at `path`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function removeModel(url: string): Promise<ModelArtifactsInfo> {\n  const schemeAndPath = parseURL(url);\n  const manager = ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);\n  return manager.removeModel(schemeAndPath.path);\n}\n\n/**\n * Copy a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Copying within a storage medium, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Copying between two storage mediums, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Copy the model, from Local Storage to IndexedDB.\n * await tf.io.copyModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove both models.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of copying.\n * @param destURL Destination URL of copying.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if copying fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function copyModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = false;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\n/**\n * Move a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Moving within a storage medium, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Moving between two storage mediums, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Move the model, from Local Storage to IndexedDB.\n * await tf.io.moveModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove the moved model.\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of moving.\n * @param destURL Destination URL of moving.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if moving fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function moveModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = true;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\nexport {moveModel, copyModel, removeModel, listModels};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst DATABASE_NAME = 'tensorflowjs';\nconst DATABASE_VERSION = 1;\n\n// Model data and ModelArtifactsInfo (metadata) are stored in two separate\n// stores for efficient access of the list of stored models and their metadata.\n// 1. The object store for model data: topology, weights and weight manifests.\nconst MODEL_STORE_NAME = 'models_store';\n// 2. The object store for ModelArtifactsInfo, including meta-information such\n//    as the type of topology (JSON vs binary), byte size of the topology, byte\n//    size of the weights, etc.\nconst INFO_STORE_NAME = 'model_info_store';\n\n/**\n * Delete the entire database for tensorflow.js, including the models store.\n */\nexport async function deleteDatabase(): Promise<void> {\n  const idbFactory = getIndexedDBFactory();\n\n  return new Promise<void>((resolve, reject) => {\n    const deleteRequest = idbFactory.deleteDatabase(DATABASE_NAME);\n    deleteRequest.onsuccess = () => resolve();\n    deleteRequest.onerror = error => reject(error);\n  });\n}\n\nfunction getIndexedDBFactory(): IDBFactory {\n  if (!env().getBool('IS_BROWSER')) {\n    // TODO(cais): Add more info about what IOHandler subtypes are available.\n    //   Maybe point to a doc page on the web and/or automatically determine\n    //   the available IOHandlers and print them in the error message.\n    throw new Error(\n        'Failed to obtain IndexedDB factory because the current environment' +\n        'is not a web browser.');\n  }\n  // tslint:disable-next-line:no-any\n  const theWindow: any = window || self;\n  const factory = theWindow.indexedDB || theWindow.mozIndexedDB ||\n      theWindow.webkitIndexedDB || theWindow.msIndexedDB ||\n      theWindow.shimIndexedDB;\n  if (factory == null) {\n    throw new Error(\n        'The current browser does not appear to support IndexedDB.');\n  }\n  return factory;\n}\n\nfunction setUpDatabase(openRequest: IDBRequest) {\n  const db = openRequest.result as IDBDatabase;\n  db.createObjectStore(MODEL_STORE_NAME, {keyPath: 'modelPath'});\n  db.createObjectStore(INFO_STORE_NAME, {keyPath: 'modelPath'});\n}\n\n/**\n * IOHandler subclass: Browser IndexedDB.\n *\n * See the doc string of `browserIndexedDB` for more details.\n */\nexport class BrowserIndexedDB implements IOHandler {\n  protected readonly indexedDB: IDBFactory;\n  protected readonly modelPath: string;\n\n  static readonly URL_SCHEME = 'indexeddb://';\n\n  constructor(modelPath: string) {\n    this.indexedDB = getIndexedDBFactory();\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For IndexedDB, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    // TODO(cais): Support saving GraphDef models.\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    return this.databaseAction(this.modelPath, modelArtifacts) as\n        Promise<SaveResult>;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    return this.databaseAction(this.modelPath) as Promise<ModelArtifacts>;\n  }\n\n  /**\n   * Perform database action to put model artifacts into or read model artifacts\n   * from IndexedDB object store.\n   *\n   * Whether the action is put or get depends on whether `modelArtifacts` is\n   * specified. If it is specified, the action will be put; otherwise the action\n   * will be get.\n   *\n   * @param modelPath A unique string path for the model.\n   * @param modelArtifacts If specified, it will be the model artifacts to be\n   *   stored in IndexedDB.\n   * @returns A `Promise` of `SaveResult`, if the action is put, or a `Promise`\n   *   of `ModelArtifacts`, if the action is get.\n   */\n  private databaseAction(modelPath: string, modelArtifacts?: ModelArtifacts):\n      Promise<ModelArtifacts|SaveResult> {\n    return new Promise<ModelArtifacts|SaveResult>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n\n        if (modelArtifacts == null) {\n          // Read model out from object store.\n          const modelTx = db.transaction(MODEL_STORE_NAME, 'readonly');\n          const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n          const getRequest = modelStore.get(this.modelPath);\n          getRequest.onsuccess = () => {\n            if (getRequest.result == null) {\n              db.close();\n              return reject(new Error(\n                  `Cannot find model with path '${this.modelPath}' ` +\n                  `in IndexedDB.`));\n            } else {\n              resolve(getRequest.result.modelArtifacts);\n            }\n          };\n          getRequest.onerror = error => {\n            db.close();\n            return reject(getRequest.error);\n          };\n          modelTx.oncomplete = () => db.close();\n        } else {\n          // Put model into object store.\n          const modelArtifactsInfo: ModelArtifactsInfo =\n              getModelArtifactsInfoForJSON(modelArtifacts);\n          // First, put ModelArtifactsInfo into info store.\n          const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n          let infoStore = infoTx.objectStore(INFO_STORE_NAME);\n          const putInfoRequest =\n              infoStore.put({modelPath: this.modelPath, modelArtifactsInfo});\n          let modelTx: IDBTransaction;\n          putInfoRequest.onsuccess = () => {\n            // Second, put model data into model store.\n            modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n            const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n            const putModelRequest = modelStore.put({\n              modelPath: this.modelPath,\n              modelArtifacts,\n              modelArtifactsInfo\n            });\n            putModelRequest.onsuccess = () => resolve({modelArtifactsInfo});\n            putModelRequest.onerror = error => {\n              // If the put-model request fails, roll back the info entry as\n              // well.\n              infoStore = infoTx.objectStore(INFO_STORE_NAME);\n              const deleteInfoRequest = infoStore.delete(this.modelPath);\n              deleteInfoRequest.onsuccess = () => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n              deleteInfoRequest.onerror = error => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n            };\n          };\n          putInfoRequest.onerror = error => {\n            db.close();\n            return reject(putInfoRequest.error);\n          };\n          infoTx.oncomplete = () => {\n            if (modelTx == null) {\n              db.close();\n            } else {\n              modelTx.oncomplete = () => db.close();\n            }\n          };\n        }\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nexport const indexedDBRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserIndexedDB.URL_SCHEME)) {\n      return browserIndexedDB(url.slice(BrowserIndexedDB.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(indexedDBRouter);\nIORouterRegistry.registerLoadRouter(indexedDBRouter);\n\n/**\n * Creates a browser IndexedDB IOHandler for saving and loading models.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save('indexeddb://MyModel'));\n * console.log(saveResult);\n * ```\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),\n *   which can be used with, e.g., `tf.Model.save`.\n */\nexport function browserIndexedDB(modelPath: string): IOHandler {\n  return new BrowserIndexedDB(modelPath);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserIndexedDB.URL_SCHEME) ?\n      key.slice(BrowserIndexedDB.URL_SCHEME.length) :\n      key;\n}\n\nexport class BrowserIndexedDBManager implements ModelStoreManager {\n  private indexedDB: IDBFactory;\n\n  constructor() {\n    this.indexedDB = getIndexedDBFactory();\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    return new Promise<{[path: string]: ModelArtifactsInfo}>(\n        (resolve, reject) => {\n          const openRequest =\n              this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n          openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n          openRequest.onsuccess = () => {\n            const db = openRequest.result;\n            const tx = db.transaction(INFO_STORE_NAME, 'readonly');\n            const store = tx.objectStore(INFO_STORE_NAME);\n            // tslint:disable:max-line-length\n            // Need to cast `store` as `any` here because TypeScript's DOM\n            // library does not have the `getAll()` method even though the\n            // method is supported in the latest version of most mainstream\n            // browsers:\n            // https://developer.mozilla.org/en-US/docs/Web/API/IDBObjectStore/getAll\n            // tslint:enable:max-line-length\n            // tslint:disable-next-line:no-any\n            const getAllInfoRequest = (store as any).getAll() as IDBRequest;\n            getAllInfoRequest.onsuccess = () => {\n              const out: {[path: string]: ModelArtifactsInfo} = {};\n              for (const item of getAllInfoRequest.result) {\n                out[item.modelPath] = item.modelArtifactsInfo;\n              }\n              resolve(out);\n            };\n            getAllInfoRequest.onerror = error => {\n              db.close();\n              return reject(getAllInfoRequest.error);\n            };\n            tx.oncomplete = () => db.close();\n          };\n          openRequest.onerror = error => reject(openRequest.error);\n        });\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    return new Promise<ModelArtifactsInfo>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n        const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n        const infoStore = infoTx.objectStore(INFO_STORE_NAME);\n\n        const getInfoRequest = infoStore.get(path);\n        let modelTx: IDBTransaction;\n        getInfoRequest.onsuccess = () => {\n          if (getInfoRequest.result == null) {\n            db.close();\n            return reject(new Error(\n                `Cannot find model with path '${path}' ` +\n                `in IndexedDB.`));\n          } else {\n            // First, delete the entry in the info store.\n            const deleteInfoRequest = infoStore.delete(path);\n            const deleteModelData = () => {\n              // Second, delete the entry in the model store.\n              modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n              const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n              const deleteModelRequest = modelStore.delete(path);\n              deleteModelRequest.onsuccess = () =>\n                  resolve(getInfoRequest.result.modelArtifactsInfo);\n              deleteModelRequest.onerror = error =>\n                  reject(getInfoRequest.error);\n            };\n            // Proceed with deleting model data regardless of whether deletion\n            // of info data succeeds or not.\n            deleteInfoRequest.onsuccess = deleteModelData;\n            deleteInfoRequest.onerror = error => {\n              deleteModelData();\n              db.close();\n              return reject(getInfoRequest.error);\n            };\n          }\n        };\n        getInfoRequest.onerror = error => {\n          db.close();\n          return reject(getInfoRequest.error);\n        };\n\n        infoTx.oncomplete = () => {\n          if (modelTx == null) {\n            db.close();\n          } else {\n            modelTx.oncomplete = () => db.close();\n          }\n        };\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {arrayBufferToBase64String, base64StringToArrayBuffer, getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst PATH_SEPARATOR = '/';\nconst PATH_PREFIX = 'tensorflowjs_models';\nconst INFO_SUFFIX = 'info';\nconst MODEL_TOPOLOGY_SUFFIX = 'model_topology';\nconst WEIGHT_SPECS_SUFFIX = 'weight_specs';\nconst WEIGHT_DATA_SUFFIX = 'weight_data';\nconst MODEL_METADATA_SUFFIX = 'model_metadata';\n\n/**\n * Purge all tensorflow.js-saved model artifacts from local storage.\n *\n * @returns Paths of the models purged.\n */\nexport function purgeLocalStorageArtifacts(): string[] {\n  if (!env().getBool('IS_BROWSER') ||\n      typeof window === 'undefined' ||\n      typeof window.localStorage === 'undefined') {\n    throw new Error(\n        'purgeLocalStorageModels() cannot proceed because local storage is ' +\n        'unavailable in the current environment.');\n  }\n  const LS = window.localStorage;\n  const purgedModelPaths: string[] = [];\n  for (let i = 0; i < LS.length; ++i) {\n    const key = LS.key(i);\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    if (key.startsWith(prefix) && key.length > prefix.length) {\n      LS.removeItem(key);\n      const modelName = getModelPathFromKey(key);\n      if (purgedModelPaths.indexOf(modelName) === -1) {\n        purgedModelPaths.push(modelName);\n      }\n    }\n  }\n  return purgedModelPaths;\n}\n\nfunction getModelKeys(path: string): {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n} {\n  return {\n    info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),\n    topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),\n    weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),\n    weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),\n    modelMetadata:\n        [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR)\n  };\n}\n\n/**\n * Get model path from a local-storage key.\n *\n * E.g., 'tensorflowjs_models/my/model/1/info' --> 'my/model/1'\n *\n * @param key\n */\nfunction getModelPathFromKey(key: string) {\n  const items = key.split(PATH_SEPARATOR);\n  if (items.length < 3) {\n    throw new Error(`Invalid key format: ${key}`);\n  }\n  return items.slice(1, items.length - 1).join(PATH_SEPARATOR);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserLocalStorage.URL_SCHEME) ?\n      key.slice(BrowserLocalStorage.URL_SCHEME.length) :\n      key;\n}\n\ndeclare type LocalStorageKeys = {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n};\n\n/**\n * IOHandler subclass: Browser Local Storage.\n *\n * See the doc string to `browserLocalStorage` for more details.\n */\nexport class BrowserLocalStorage implements IOHandler {\n  protected readonly LS: Storage;\n  protected readonly modelPath: string;\n  protected readonly keys: LocalStorageKeys;\n\n  static readonly URL_SCHEME = 'localstorage://';\n\n  constructor(modelPath: string) {\n    if (!env().getBool('IS_BROWSER') ||\n          typeof window === 'undefined' ||\n          typeof window.localStorage === 'undefined') {\n      // TODO(cais): Add more info about what IOHandler subtypes are\n      // available.\n      //   Maybe point to a doc page on the web and/or automatically determine\n      //   the available IOHandlers and print them in the error message.\n      throw new Error(\n          'The current environment does not support local storage.');\n    }\n    this.LS = window.localStorage;\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For local storage, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n    this.keys = getModelKeys(this.modelPath);\n  }\n\n  /**\n   * Save model artifacts to browser local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @param modelArtifacts The model artifacts to be stored.\n   * @returns An instance of SaveResult.\n   */\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const topology = JSON.stringify(modelArtifacts.modelTopology);\n      const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);\n\n      const modelArtifactsInfo: ModelArtifactsInfo =\n          getModelArtifactsInfoForJSON(modelArtifacts);\n\n      try {\n        this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));\n        this.LS.setItem(this.keys.topology, topology);\n        this.LS.setItem(this.keys.weightSpecs, weightSpecs);\n        this.LS.setItem(\n            this.keys.weightData,\n            arrayBufferToBase64String(modelArtifacts.weightData));\n        this.LS.setItem(this.keys.modelMetadata, JSON.stringify({\n          format: modelArtifacts.format,\n          generatedBy: modelArtifacts.generatedBy,\n          convertedBy: modelArtifacts.convertedBy,\n          userDefinedMetadata: modelArtifacts.userDefinedMetadata\n        }));\n\n        return {modelArtifactsInfo};\n      } catch (err) {\n        // If saving failed, clean up all items saved so far.\n        this.LS.removeItem(this.keys.info);\n        this.LS.removeItem(this.keys.topology);\n        this.LS.removeItem(this.keys.weightSpecs);\n        this.LS.removeItem(this.keys.weightData);\n        this.LS.removeItem(this.keys.modelMetadata);\n\n        throw new Error(\n            `Failed to save model '${this.modelPath}' to local storage: ` +\n            `size quota being exceeded is a possible cause of this failure: ` +\n            `modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, ` +\n            `weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, ` +\n            `weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`);\n      }\n    }\n  }\n\n  /**\n   * Load a model from local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const info =\n        JSON.parse(this.LS.getItem(this.keys.info)) as ModelArtifactsInfo;\n    if (info == null) {\n      throw new Error(\n          `In local storage, there is no model with name '${this.modelPath}'`);\n    }\n\n    if (info.modelTopologyType !== 'JSON') {\n      throw new Error(\n          'BrowserLocalStorage does not support loading non-JSON model ' +\n          'topology yet.');\n    }\n\n    const out: ModelArtifacts = {};\n\n    // Load topology.\n    const topology = JSON.parse(this.LS.getItem(this.keys.topology));\n    if (topology == null) {\n      throw new Error(\n          `In local storage, the topology of model '${this.modelPath}' ` +\n          `is missing.`);\n    }\n    out.modelTopology = topology;\n\n    // Load weight specs.\n    const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));\n    if (weightSpecs == null) {\n      throw new Error(\n          `In local storage, the weight specs of model '${this.modelPath}' ` +\n          `are missing.`);\n    }\n    out.weightSpecs = weightSpecs;\n\n    // Load meta-data fields.\n    const metadataString = this.LS.getItem(this.keys.modelMetadata);\n    if (metadataString != null) {\n      const metadata = JSON.parse(metadataString) as ModelArtifacts;\n      out.format = metadata['format'];\n      out.generatedBy = metadata['generatedBy'];\n      out.convertedBy = metadata['convertedBy'];\n      out.userDefinedMetadata = metadata['userDefinedMetadata'];\n    }\n\n    // Load weight data.\n    const weightDataBase64 = this.LS.getItem(this.keys.weightData);\n    if (weightDataBase64 == null) {\n      throw new Error(\n          `In local storage, the binary weight values of model ` +\n          `'${this.modelPath}' are missing.`);\n    }\n    out.weightData = base64StringToArrayBuffer(weightDataBase64);\n\n    return out;\n  }\n}\n\nexport const localStorageRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserLocalStorage.URL_SCHEME)) {\n      return browserLocalStorage(\n          url.slice(BrowserLocalStorage.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(localStorageRouter);\nIORouterRegistry.registerLoadRouter(localStorageRouter);\n\n/**\n * Factory function for local storage IOHandler.\n *\n * This `IOHandler` supports both `save` and `load`.\n *\n * For each model's saved artifacts, four items are saved to local storage.\n *   - `${PATH_SEPARATOR}/${modelPath}/info`: Contains meta-info about the\n *     model, such as date saved, type of the topology, size in bytes, etc.\n *   - `${PATH_SEPARATOR}/${modelPath}/topology`: Model topology. For Keras-\n *     style models, this is a stringized JSON.\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_specs`: Weight specs of the\n *     model, can be used to decode the saved binary weight values (see\n *     item below).\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_data`: Concatenated binary\n *     weight values, stored as a base64-encoded string.\n *\n * Saving may throw an `Error` if the total size of the artifacts exceed the\n * browser-specific quota.\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `IOHandler`, which can be used with, e.g.,\n *   `tf.Model.save`.\n */\nexport function browserLocalStorage(modelPath: string): IOHandler {\n  return new BrowserLocalStorage(modelPath);\n}\n\nexport class BrowserLocalStorageManager implements ModelStoreManager {\n  private readonly LS: Storage;\n\n  constructor() {\n    assert(\n        env().getBool('IS_BROWSER'),\n        () => 'Current environment is not a web browser');\n    assert(\n        typeof window === 'undefined' ||\n        typeof window.localStorage !== 'undefined',\n        () => 'Current browser does not appear to support localStorage');\n    this.LS = window.localStorage;\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    const out: {[path: string]: ModelArtifactsInfo} = {};\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    const suffix = PATH_SEPARATOR + INFO_SUFFIX;\n    for (let i = 0; i < this.LS.length; ++i) {\n      const key = this.LS.key(i);\n      if (key.startsWith(prefix) && key.endsWith(suffix)) {\n        const modelPath = getModelPathFromKey(key);\n        out[modelPath] = JSON.parse(this.LS.getItem(key)) as ModelArtifactsInfo;\n      }\n    }\n    return out;\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    const keys = getModelKeys(path);\n    if (this.LS.getItem(keys.info) == null) {\n      throw new Error(`Cannot find model at path '${path}'`);\n    }\n    const info = JSON.parse(this.LS.getItem(keys.info)) as ModelArtifactsInfo;\n\n    this.LS.removeItem(keys.info);\n    this.LS.removeItem(keys.topology);\n    this.LS.removeItem(keys.weightSpecs);\n    this.LS.removeItem(keys.weightData);\n    return info;\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers related to files, such as browser-triggered file downloads,\n * user-selected files in browser.\n */\n\nimport {env} from '../environment';\n\nimport {basename, concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelJSON, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\nconst DEFAULT_FILE_NAME_PREFIX = 'model';\nconst DEFAULT_JSON_EXTENSION_NAME = '.json';\nconst DEFAULT_WEIGHT_DATA_EXTENSION_NAME = '.weights.bin';\n\nfunction defer<T>(f: () => T): Promise<T> {\n  return new Promise(resolve => setTimeout(resolve)).then(f);\n}\n\nexport class BrowserDownloads implements IOHandler {\n  private readonly modelTopologyFileName: string;\n  private readonly weightDataFileName: string;\n  private readonly jsonAnchor: HTMLAnchorElement;\n  private readonly weightDataAnchor: HTMLAnchorElement;\n\n  static readonly URL_SCHEME = 'downloads://';\n\n  constructor(fileNamePrefix?: string) {\n    if (!env().getBool('IS_BROWSER')) {\n      // TODO(cais): Provide info on what IOHandlers are available under the\n      //   current environment.\n      throw new Error(\n          'browserDownloads() cannot proceed because the current environment ' +\n          'is not a browser.');\n    }\n\n    if (fileNamePrefix.startsWith(BrowserDownloads.URL_SCHEME)) {\n      fileNamePrefix = fileNamePrefix.slice(BrowserDownloads.URL_SCHEME.length);\n    }\n    if (fileNamePrefix == null || fileNamePrefix.length === 0) {\n      fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;\n    }\n\n    this.modelTopologyFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;\n    this.weightDataFileName =\n        fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (typeof (document) === 'undefined') {\n      throw new Error(\n          'Browser downloads are not supported in ' +\n          'this environment since `document` is not present');\n    }\n    const weightsURL = window.URL.createObjectURL(new Blob(\n        [modelArtifacts.weightData], {type: 'application/octet-stream'}));\n\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserDownloads.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const weightsManifest: WeightsManifestConfig = [{\n        paths: ['./' + this.weightDataFileName],\n        weights: modelArtifacts.weightSpecs\n      }];\n      const modelTopologyAndWeightManifest: ModelJSON = {\n        modelTopology: modelArtifacts.modelTopology,\n        format: modelArtifacts.format,\n        generatedBy: modelArtifacts.generatedBy,\n        convertedBy: modelArtifacts.convertedBy,\n        weightsManifest\n      };\n      const modelTopologyAndWeightManifestURL =\n          window.URL.createObjectURL(new Blob(\n              [JSON.stringify(modelTopologyAndWeightManifest)],\n              {type: 'application/json'}));\n\n      // If anchor elements are not provided, create them without attaching them\n      // to parents, so that the downloaded file names can be controlled.\n      const jsonAnchor = this.jsonAnchor == null ? document.createElement('a') :\n                                                   this.jsonAnchor;\n      jsonAnchor.download = this.modelTopologyFileName;\n      jsonAnchor.href = modelTopologyAndWeightManifestURL;\n      // Trigger downloads by evoking a click event on the download anchors.\n      // When multiple downloads are started synchronously, Firefox will only\n      // save the last one.\n      await defer(() => jsonAnchor.dispatchEvent(new MouseEvent('click')));\n\n      if (modelArtifacts.weightData != null) {\n        const weightDataAnchor = this.weightDataAnchor == null ?\n            document.createElement('a') :\n            this.weightDataAnchor;\n        weightDataAnchor.download = this.weightDataFileName;\n        weightDataAnchor.href = weightsURL;\n        await defer(\n            () => weightDataAnchor.dispatchEvent(new MouseEvent('click')));\n      }\n\n      return {modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts)};\n    }\n  }\n}\n\nclass BrowserFiles implements IOHandler {\n  private readonly files: File[];\n\n  constructor(files: File[]) {\n    if (files == null || files.length < 1) {\n      throw new Error(\n          `When calling browserFiles, at least 1 file is required, ` +\n          `but received ${files}`);\n    }\n    this.files = files;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    const jsonFile = this.files[0];\n    const weightFiles = this.files.slice(1);\n\n    return new Promise<ModelArtifacts>((resolve, reject) => {\n      const jsonReader = new FileReader();\n      jsonReader.onload = (event: Event) => {\n        // tslint:disable-next-line:no-any\n        const modelJSON = JSON.parse((event.target as any).result) as ModelJSON;\n        const modelTopology = modelJSON.modelTopology;\n        if (modelTopology == null) {\n          reject(new Error(\n              `modelTopology field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        if (weightFiles.length === 0) {\n          resolve({modelTopology});\n        }\n\n        const weightsManifest = modelJSON.weightsManifest;\n        if (weightsManifest == null) {\n          reject(new Error(\n              `weightManifest field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        let pathToFile: {[path: string]: File};\n        try {\n          pathToFile =\n              this.checkManifestAndWeightFiles(weightsManifest, weightFiles);\n        } catch (err) {\n          reject(err);\n          return;\n        }\n\n        const weightSpecs: WeightsManifestEntry[] = [];\n        const paths: string[] = [];\n        const perFileBuffers: ArrayBuffer[] = [];\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            paths.push(path);\n            perFileBuffers.push(null);\n          });\n          weightSpecs.push(...weightsGroup.weights);\n        });\n\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            const weightFileReader = new FileReader();\n            weightFileReader.onload = (event: Event) => {\n              // tslint:disable-next-line:no-any\n              const weightData = (event.target as any).result as ArrayBuffer;\n              const index = paths.indexOf(path);\n              perFileBuffers[index] = weightData;\n              if (perFileBuffers.indexOf(null) === -1) {\n                resolve({\n                  modelTopology,\n                  weightSpecs,\n                  weightData: concatenateArrayBuffers(perFileBuffers),\n                  format: modelJSON.format,\n                  generatedBy: modelJSON.generatedBy,\n                  convertedBy: modelJSON.convertedBy,\n                  userDefinedMetadata: modelJSON.userDefinedMetadata\n                });\n              }\n            };\n            weightFileReader.onerror = error =>\n                reject(`Failed to weights data from file of path '${path}'.`);\n            weightFileReader.readAsArrayBuffer(pathToFile[path]);\n          });\n        });\n      };\n      jsonReader.onerror = error => reject(\n          `Failed to read model topology and weights manifest JSON ` +\n          `from file '${jsonFile.name}'. BrowserFiles supports loading ` +\n          `Keras-style tf.Model artifacts only.`);\n      jsonReader.readAsText(jsonFile);\n    });\n  }\n\n  /**\n   * Check the compatibility between weights manifest and weight files.\n   */\n  private checkManifestAndWeightFiles(\n      manifest: WeightsManifestConfig, files: File[]): {[path: string]: File} {\n    const basenames: string[] = [];\n    const fileNames = files.map(file => basename(file.name));\n    const pathToFile: {[path: string]: File} = {};\n    for (const group of manifest) {\n      group.paths.forEach(path => {\n        const pathBasename = basename(path);\n        if (basenames.indexOf(pathBasename) !== -1) {\n          throw new Error(\n              `Duplicate file basename found in weights manifest: ` +\n              `'${pathBasename}'`);\n        }\n        basenames.push(pathBasename);\n        if (fileNames.indexOf(pathBasename) === -1) {\n          throw new Error(\n              `Weight file with basename '${pathBasename}' is not provided.`);\n        } else {\n          pathToFile[path] = files[fileNames.indexOf(pathBasename)];\n        }\n      });\n    }\n\n    if (basenames.length !== files.length) {\n      throw new Error(\n          `Mismatch in the number of files in weights manifest ` +\n          `(${basenames.length}) and the number of weight files provided ` +\n          `(${files.length}).`);\n    }\n    return pathToFile;\n  }\n}\n\nexport const browserDownloadsRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserDownloads.URL_SCHEME)) {\n      return browserDownloads(url.slice(BrowserDownloads.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(browserDownloadsRouter);\n\n/**\n * Creates an IOHandler that triggers file downloads from the browser.\n *\n * The returned `IOHandler` instance can be used as model exporting methods such\n * as `tf.Model.save` and supports only saving.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * const saveResult = await model.save('downloads://mymodel');\n * // This will trigger downloading of two files:\n * //   'mymodel.json' and 'mymodel.weights.bin'.\n * console.log(saveResult);\n * ```\n *\n * @param fileNamePrefix Prefix name of the files to be downloaded. For use with\n *   `tf.Model`, `fileNamePrefix` should follow either of the following two\n *   formats:\n *   1. `null` or `undefined`, in which case the default file\n *      names will be used:\n *      - 'model.json' for the JSON file containing the model topology and\n *        weights manifest.\n *      - 'model.weights.bin' for the binary file containing the binary weight\n *        values.\n *   2. A single string or an Array of a single string, as the file name prefix.\n *      For example, if `'foo'` is provided, the downloaded JSON\n *      file and binary weights file will be named 'foo.json' and\n *      'foo.weights.bin', respectively.\n * @param config Additional configuration for triggering downloads.\n * @returns An instance of `BrowserDownloads` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserDownloads(fileNamePrefix = 'model'): IOHandler {\n  return new BrowserDownloads(fileNamePrefix);\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from user-selected files.\n *\n * This method can be used for loading from files such as user-selected files\n * in the browser.\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * // Note: This code snippet won't run properly without the actual file input\n * //   elements in the HTML DOM.\n *\n * // Suppose there are two HTML file input (`<input type=\"file\" ...>`)\n * // elements.\n * const uploadJSONInput = document.getElementById('upload-json');\n * const uploadWeightsInput = document.getElementById('upload-weights');\n * const model = await tf.loadLayersModel(tf.io.browserFiles(\n *     [uploadJSONInput.files[0], uploadWeightsInput.files[0]]));\n * ```\n *\n * @param files `File`s to load from. Currently, this function supports only\n *   loading from files that contain Keras-style models (i.e., `tf.Model`s), for\n *   which an `Array` of `File`s is expected (in that order):\n *   - A JSON file containing the model topology and weight manifest.\n *   - Optionally, One or more binary files containing the binary weights.\n *     These files must have names that match the paths in the `weightsManifest`\n *     contained by the aforementioned JSON file, or errors will be thrown\n *     during loading. These weights files have the same format as the ones\n *     generated by `tensorflowjs_converter` that comes with the `tensorflowjs`\n *     Python PIP package. If no weights files are provided, only the model\n *     topology will be loaded from the JSON file above.\n * @returns An instance of `Files` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserFiles(files: File[]): IOHandler {\n  return new BrowserFiles(files);\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../util';\n\nimport {OnProgressCallback} from './types';\n\n/**\n * Monitor Promise.all progress, fire onProgress callback function.\n *\n * @param promises Promise list going to be monitored\n * @param onProgress Callback function. Fired when a promise resolved.\n * @param startFraction Optional fraction start. Default to 0.\n * @param endFraction Optional fraction end. Default to 1.\n */\nexport function monitorPromisesProgress(\n    promises: Array<Promise<{}|void>>, onProgress: OnProgressCallback,\n    startFraction?: number, endFraction?: number) {\n  checkPromises(promises);\n  startFraction = startFraction == null ? 0 : startFraction;\n  endFraction = endFraction == null ? 1 : endFraction;\n  checkFraction(startFraction, endFraction);\n  let resolvedPromise = 0;\n\n  const registerMonitor = (promise: Promise<{}>) => {\n    promise.then(value => {\n      const fraction = startFraction +\n          ++resolvedPromise / promises.length * (endFraction - startFraction);\n      // pass fraction as parameter to callback function.\n      onProgress(fraction);\n      return value;\n    });\n    return promise;\n  };\n\n  function checkPromises(promises: Array<Promise<{}|void>>): void {\n    assert(\n        promises != null && Array.isArray(promises) && promises.length > 0,\n        () => 'promises must be a none empty array');\n  }\n\n  function checkFraction(startFraction: number, endFraction: number): void {\n    assert(\n        startFraction >= 0 && startFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got startFraction ${startFraction}`);\n    assert(\n        endFraction >= 0 && endFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got endFraction ${endFraction}`);\n    assert(\n        endFraction >= startFraction,\n        () => `startFraction must be no more than endFraction, but ` +\n            `got startFraction ${startFraction} and endFraction ` +\n            `${endFraction}`);\n  }\n\n  return Promise.all(promises.map(registerMonitor));\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {NamedTensorMap} from '../tensor_types';\nimport * as util from '../util';\nimport {decodeWeights} from './io_utils';\nimport {monitorPromisesProgress} from './progress';\nimport {DTYPE_VALUE_SIZE_MAP, LoadOptions, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\n/**\n * Reads binary weights data from a number of URLs.\n *\n * @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.\n * @param requestOptions RequestInit (options) for the HTTP requests.\n * @param fetchFunc Optional overriding value for the `window.fetch` function.\n * @param onProgress Optional, progress callback function, fired periodically\n *   before the load is completed.\n * @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same\n *   length as `fetchURLs`.\n */\nexport async function loadWeightsAsArrayBuffer(\n    fetchURLs: string[], loadOptions?: LoadOptions): Promise<ArrayBuffer[]> {\n  if (loadOptions == null) {\n    loadOptions = {};\n  }\n\n  const fetchFunc = loadOptions.fetchFunc == null ? env().platform.fetch :\n                                                    loadOptions.fetchFunc;\n\n  // Create the requests for all of the weights in parallel.\n  const requests = fetchURLs.map(\n      fetchURL =>\n          fetchFunc(fetchURL, loadOptions.requestInit, {isBinary: true}));\n\n  const fetchStartFraction = 0;\n  const fetchEndFraction = 0.5;\n\n  const responses = loadOptions.onProgress == null ?\n      await Promise.all(requests) :\n      await monitorPromisesProgress(\n          requests, loadOptions.onProgress, fetchStartFraction,\n          fetchEndFraction);\n\n  const bufferPromises = responses.map(response => response.arrayBuffer());\n\n  const bufferStartFraction = 0.5;\n  const bufferEndFraction = 1;\n\n  const buffers = loadOptions.onProgress == null ?\n      await Promise.all(bufferPromises) :\n      await monitorPromisesProgress(\n          bufferPromises, loadOptions.onProgress, bufferStartFraction,\n          bufferEndFraction);\n  return buffers;\n}\n\n/**\n * Reads a weights manifest JSON configuration, fetches the weights and\n * returns them as `Tensor`s.\n *\n * @param manifest The weights manifest JSON.\n * @param filePathPrefix The path prefix for filenames given in the manifest.\n *     Defaults to the empty string.\n * @param weightNames The names of the weights to be fetched.\n */\nexport async function loadWeights(\n    manifest: WeightsManifestConfig, filePathPrefix = '',\n    weightNames?: string[],\n    requestInit?: RequestInit): Promise<NamedTensorMap> {\n  // TODO(nsthorat): Groups are currently fetched atomically. If you need a\n  // single weight from a group, the whole group will be fetched. At a future\n  // date, we should support fetching only the individual shards within a\n  // group that are needed to reconstruct the requested weight.\n  // TODO(cais): Use `decodeWeights` for implementation.\n\n  const fetchWeights = (fetchUrls: string[]) =>\n      loadWeightsAsArrayBuffer(fetchUrls, {requestInit});\n  const loadWeights = weightsLoaderFactory(fetchWeights);\n\n  return loadWeights(manifest, filePathPrefix, weightNames);\n}\n\n/**\n * Creates a function, which reads a weights manifest JSON configuration,\n * fetches the weight files using the specified function and returns them as\n * `Tensor`s.\n *\n * ```js\n * // example for creating a nodejs weight loader, which reads the weight files\n * // from disk using fs.readFileSync\n *\n * import * as fs from 'fs'\n *\n * const fetchWeightsFromDisk = (filePaths: string[]) =>\n *   filePaths.map(filePath => fs.readFileSync(filePath).buffer)\n *\n * const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)\n *\n * const manifest = JSON.parse(\n *   fs.readFileSync('./my_model-weights_manifest').toString()\n * )\n * const weightMap = await loadWeights(manifest, './')\n * ```\n * @param fetchWeightsFunction The function used for fetching the weight files.\n * @returns Weight loading function.\n */\nexport function weightsLoaderFactory(\n    fetchWeightsFunction: (fetchUrls: string[]) => Promise<ArrayBuffer[]>):\n    (manifest: WeightsManifestConfig, filePathPrefix?: string,\n     weightNames?: string[]) => Promise<NamedTensorMap> {\n  return async(\n             manifest: WeightsManifestConfig, filePathPrefix = '',\n             weightNames?: string[]): Promise<NamedTensorMap> => {\n    // Collect all the groups, weights, and their relative offsets to be\n    // fetched.\n    const groupIndicesToFetchMap = manifest.map(() => false);\n    const groupWeightsToFetch: {\n      [group: number]: Array<{\n        manifestEntry: WeightsManifestEntry; groupOffset: number;\n        sizeBytes: number;\n      }>\n    } = {};\n    const weightsFound =\n        weightNames != null ? weightNames.map(() => false) : [];\n    const allManifestWeightNames: string[] = [];\n    manifest.forEach((manifestGroupConfig, groupIndex) => {\n      let groupOffset = 0;\n      manifestGroupConfig.weights.forEach(weightsEntry => {\n        const rawDtype = ('quantization' in weightsEntry) ?\n            weightsEntry.quantization.dtype :\n            weightsEntry.dtype;\n\n        const weightsBytes = DTYPE_VALUE_SIZE_MAP[rawDtype] *\n            util.sizeFromShape(weightsEntry.shape);\n\n        const enqueueWeightsForFetchingFn = () => {\n          groupIndicesToFetchMap[groupIndex] = true;\n          if (groupWeightsToFetch[groupIndex] == null) {\n            groupWeightsToFetch[groupIndex] = [];\n          }\n\n          groupWeightsToFetch[groupIndex].push({\n            manifestEntry: weightsEntry,\n            groupOffset,\n            sizeBytes: weightsBytes\n          });\n        };\n\n        if (weightNames != null) {\n          weightNames.forEach((weightName, weightIndex) => {\n            if (weightName === weightsEntry.name) {\n              enqueueWeightsForFetchingFn();\n              weightsFound[weightIndex] = true;\n            }\n          });\n        } else {\n          enqueueWeightsForFetchingFn();\n        }\n\n        allManifestWeightNames.push(weightsEntry.name);\n        groupOffset += weightsBytes;\n      });\n    });\n\n    if (!weightsFound.every(found => found)) {\n      const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);\n      throw new Error(\n          `Could not find weights in manifest with names: ` +\n          `${weightsNotFound.join(', ')}. \\n` +\n          `Manifest JSON has weights with names: ` +\n          `${allManifestWeightNames.join(', ')}.`);\n    }\n\n    // Convert the one-hot boolean groupId => shouldFetch map to a list of group\n    // IDs.\n    const groupIndicesToFetch =\n        groupIndicesToFetchMap.reduce((accumulator, shouldFetch, i) => {\n          if (shouldFetch) {\n            accumulator.push(i);\n          }\n          return accumulator;\n        }, []);\n\n    const fetchUrls: string[] = [];\n    groupIndicesToFetch.forEach(i => {\n      manifest[i].paths.forEach(filepath => {\n        const fetchUrl = filePathPrefix +\n            (!filePathPrefix.endsWith('/') ? '/' : '') + filepath;\n        fetchUrls.push(fetchUrl);\n      });\n    });\n    const buffers = await fetchWeightsFunction(fetchUrls);\n\n    const weightsTensorMap: NamedTensorMap = {};\n    let bufferIndexOffset = 0;\n    groupIndicesToFetch.forEach(i => {\n      const numBuffers = manifest[i].paths.length;\n\n      let groupBytes = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        groupBytes += buffers[bufferIndexOffset + i].byteLength;\n      }\n\n      // Create a buffer for the whole group.\n      const groupBuffer = new ArrayBuffer(groupBytes);\n      const groupByteBuffer = new Uint8Array(groupBuffer);\n      let groupBufferOffset = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        const buffer = new Uint8Array(buffers[bufferIndexOffset + i]);\n        groupByteBuffer.set(buffer, groupBufferOffset);\n        groupBufferOffset += buffer.byteLength;\n      }\n\n      const weightsEntries = groupWeightsToFetch[i];\n      weightsEntries.forEach(weightsEntry => {\n        const byteBuffer = groupBuffer.slice(\n            weightsEntry.groupOffset,\n            weightsEntry.groupOffset + weightsEntry.sizeBytes);\n        const nameToTensorMap =\n            decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);\n        for (const name in nameToTensorMap) {\n          weightsTensorMap[name] = nameToTensorMap[name];\n        }\n      });\n\n      bufferIndexOffset += numBuffers;\n    });\n\n    return weightsTensorMap;\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandler implementations based on HTTP requests in the web browser.\n *\n * Uses [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, LoadOptions, ModelArtifacts, ModelJSON, OnProgressCallback, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\nimport {loadWeightsAsArrayBuffer} from './weights_loader';\n\nconst OCTET_STREAM_MIME_TYPE = 'application/octet-stream';\nconst JSON_TYPE = 'application/json';\nexport class HTTPRequest implements IOHandler {\n  protected readonly path: string;\n  protected readonly requestInit: RequestInit;\n\n  private readonly fetch: Function;\n\n  readonly DEFAULT_METHOD = 'POST';\n\n  static readonly URL_SCHEME_REGEX = /^https?:\\/\\//;\n\n  private readonly weightPathPrefix: string;\n  private readonly onProgress: OnProgressCallback;\n\n  constructor(path: string, loadOptions?: LoadOptions) {\n    if (loadOptions == null) {\n      loadOptions = {};\n    }\n    this.weightPathPrefix = loadOptions.weightPathPrefix;\n    this.onProgress = loadOptions.onProgress;\n\n    if (loadOptions.fetchFunc != null) {\n      assert(\n          typeof loadOptions.fetchFunc === 'function',\n          () => 'Must pass a function that matches the signature of ' +\n              '`fetch` (see ' +\n              'https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)');\n      this.fetch = loadOptions.fetchFunc;\n    } else {\n      this.fetch = env().platform.fetch;\n    }\n\n    assert(\n        path != null && path.length > 0,\n        () => 'URL path for http must not be null, undefined or ' +\n            'empty.');\n\n    if (Array.isArray(path)) {\n      assert(\n          path.length === 2,\n          () => 'URL paths for http must have a length of 2, ' +\n              `(actual length is ${path.length}).`);\n    }\n    this.path = path;\n\n    if (loadOptions.requestInit != null &&\n        loadOptions.requestInit.body != null) {\n      throw new Error(\n          'requestInit is expected to have no pre-existing body, but has one.');\n    }\n    this.requestInit = loadOptions.requestInit || {};\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserHTTPRequest.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    const init = Object.assign({method: this.DEFAULT_METHOD}, this.requestInit);\n    init.body = new FormData();\n\n    const weightsManifest: WeightsManifestConfig = [{\n      paths: ['./model.weights.bin'],\n      weights: modelArtifacts.weightSpecs,\n    }];\n    const modelTopologyAndWeightManifest: ModelJSON = {\n      modelTopology: modelArtifacts.modelTopology,\n      format: modelArtifacts.format,\n      generatedBy: modelArtifacts.generatedBy,\n      convertedBy: modelArtifacts.convertedBy,\n      userDefinedMetadata: modelArtifacts.userDefinedMetadata,\n      weightsManifest\n    };\n\n    init.body.append(\n        'model.json',\n        new Blob(\n            [JSON.stringify(modelTopologyAndWeightManifest)],\n            {type: JSON_TYPE}),\n        'model.json');\n\n    if (modelArtifacts.weightData != null) {\n      init.body.append(\n          'model.weights.bin',\n          new Blob([modelArtifacts.weightData], {type: OCTET_STREAM_MIME_TYPE}),\n          'model.weights.bin');\n    }\n\n    const response = await this.fetch(this.path, init);\n\n    if (response.ok) {\n      return {\n        modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts),\n        responses: [response],\n      };\n    } else {\n      throw new Error(\n          `BrowserHTTPRequest.save() failed due to HTTP response status ` +\n          `${response.status}.`);\n    }\n  }\n\n  /**\n   * Load model artifacts via HTTP request(s).\n   *\n   * See the documentation to `tf.io.http` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model artifacts (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const modelConfigRequest = await this.fetch(this.path, this.requestInit);\n\n    if (!modelConfigRequest.ok) {\n      throw new Error(\n          `Request to ${this.path} failed with status code ` +\n          `${modelConfigRequest.status}. Please verify this URL points to ` +\n          `the model JSON of the model to load.`);\n    }\n    let modelConfig: ModelJSON;\n    try {\n      modelConfig = await modelConfigRequest.json();\n    } catch (e) {\n      let message = `Failed to parse model JSON of response from ${this.path}.`;\n      // TODO(nsthorat): Remove this after some time when we're comfortable that\n      // .pb files are mostly gone.\n      if (this.path.endsWith('.pb')) {\n        message += ' Your path contains a .pb file extension. ' +\n            'Support for .pb models have been removed in TensorFlow.js 1.0 ' +\n            'in favor of .json models. You can re-convert your Python ' +\n            'TensorFlow model using the TensorFlow.js 1.0 conversion scripts ' +\n            'or you can convert your.pb models with the \\'pb2json\\'' +\n            'NPM script in the tensorflow/tfjs-converter repository.';\n      } else {\n        message += ' Please make sure the server is serving valid ' +\n            'JSON for this request.';\n      }\n      throw new Error(message);\n    }\n    const modelTopology = modelConfig.modelTopology;\n    const weightsManifest = modelConfig.weightsManifest;\n    const generatedBy = modelConfig.generatedBy;\n    const convertedBy = modelConfig.convertedBy;\n    const format = modelConfig.format;\n    const userDefinedMetadata = modelConfig.userDefinedMetadata;\n\n    // We do not allow both modelTopology and weightsManifest to be missing.\n    if (modelTopology == null && weightsManifest == null) {\n      throw new Error(\n          `The JSON from HTTP path ${this.path} contains neither model ` +\n          `topology or manifest for weights.`);\n    }\n\n    let weightSpecs: WeightsManifestEntry[];\n    let weightData: ArrayBuffer;\n    if (weightsManifest != null) {\n      const results = await this.loadWeights(weightsManifest);\n      [weightSpecs, weightData] = results;\n    }\n\n    return {\n      modelTopology,\n      weightSpecs,\n      weightData,\n      userDefinedMetadata,\n      generatedBy,\n      convertedBy,\n      format\n    };\n  }\n\n  private async loadWeights(weightsManifest: WeightsManifestConfig):\n      Promise<[WeightsManifestEntry[], ArrayBuffer]> {\n    const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;\n    const [prefix, suffix] = parseUrl(weightPath);\n    const pathPrefix = this.weightPathPrefix || prefix;\n\n    const weightSpecs = [];\n    for (const entry of weightsManifest) {\n      weightSpecs.push(...entry.weights);\n    }\n\n    const fetchURLs: string[] = [];\n    weightsManifest.forEach(weightsGroup => {\n      weightsGroup.paths.forEach(path => {\n        fetchURLs.push(pathPrefix + path + suffix);\n      });\n    });\n    const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {\n      requestInit: this.requestInit,\n      fetchFunc: this.fetch,\n      onProgress: this.onProgress\n    });\n    return [weightSpecs, concatenateArrayBuffers(buffers)];\n  }\n}\n\n/**\n * Extract the prefix and suffix of the url, where the prefix is the path before\n * the last file, and suffix is the search params after the last file.\n * ```\n * const url = 'http://tfhub.dev/model/1/tensorflowjs_model.pb?tfjs-format=file'\n * [prefix, suffix] = parseUrl(url)\n * // prefix = 'http://tfhub.dev/model/1/'\n * // suffix = '?tfjs-format=file'\n * ```\n * @param url the model url to be parsed.\n */\nexport function parseUrl(url: string): [string, string] {\n  const lastSlash = url.lastIndexOf('/');\n  const lastSearchParam = url.lastIndexOf('?');\n  const prefix = url.substring(0, lastSlash);\n  const suffix =\n      lastSearchParam > lastSlash ? url.substring(lastSearchParam) : '';\n  return [prefix + '/', suffix];\n}\n\nexport function isHTTPScheme(url: string): boolean {\n  return url.match(HTTPRequest.URL_SCHEME_REGEX) != null;\n}\n\nexport const httpRouter: IORouter =\n    (url: string, onProgress?: OnProgressCallback) => {\n      if (typeof fetch === 'undefined') {\n        // `http` uses `fetch` or `node-fetch`, if one wants to use it in\n        // an environment that is not the browser or node they have to setup a\n        // global fetch polyfill.\n        return null;\n      } else {\n        let isHTTP = true;\n        if (Array.isArray(url)) {\n          isHTTP = url.every(urlItem => isHTTPScheme(urlItem));\n        } else {\n          isHTTP = isHTTPScheme(url);\n        }\n        if (isHTTP) {\n          return http(url, {onProgress});\n        }\n      }\n      return null;\n    };\nIORouterRegistry.registerSaveRouter(httpRouter);\nIORouterRegistry.registerLoadRouter(httpRouter);\n\n/**\n * Creates an IOHandler subtype that sends model artifacts to HTTP server.\n *\n * An HTTP request of the `multipart/form-data` mime type will be sent to the\n * `path` URL. The form data includes artifacts that represent the topology\n * and/or weights of the model. In the case of Keras-style `tf.Model`, two\n * blobs (files) exist in form-data:\n *   - A JSON file consisting of `modelTopology` and `weightsManifest`.\n *   - A binary weights file consisting of the concatenated weight values.\n * These files are in the same format as the one generated by\n * [tfjs_converter](https://js.tensorflow.org/tutorials/import-keras.html).\n *\n * The following code snippet exemplifies the client-side code that uses this\n * function:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save(tf.io.http(\n *     'http://model-server:5000/upload', {requestInit: {method: 'PUT'}}));\n * console.log(saveResult);\n * ```\n *\n * If the default `POST` method is to be used, without any custom parameters\n * such as headers, you can simply pass an HTTP or HTTPS URL to `model.save`:\n *\n * ```js\n * const saveResult = await model.save('http://model-server:5000/upload');\n * ```\n *\n * The following GitHub Gist\n * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864\n * implements a server based on [flask](https://github.com/pallets/flask) that\n * can receive the request. Upon receiving the model artifacts via the requst,\n * this particular server reconsistutes instances of [Keras\n * Models](https://keras.io/models/model/) in memory.\n *\n *\n * @param path A URL path to the model.\n *   Can be an absolute HTTP path (e.g.,\n *   'http://localhost:8000/model-upload)') or a relative path (e.g.,\n *   './model-upload').\n * @param requestInit Request configurations to be used when sending\n *    HTTP request to server using `fetch`. It can contain fields such as\n *    `method`, `credentials`, `headers`, `mode`, etc. See\n *    https://developer.mozilla.org/en-US/docs/Web/API/Request/Request\n *    for more information. `requestInit` must not have a body, because the\n * body will be set by TensorFlow.js. File blobs representing the model\n * topology (filename: 'model.json') and the weights of the model (filename:\n * 'model.weights.bin') will be appended to the body. If `requestInit` has a\n * `body`, an Error will be thrown.\n * @param loadOptions Optional configuration for the loading. It includes the\n *   following fields:\n *   - weightPathPrefix Optional, this specifies the path prefix for weight\n *     files, by default this is calculated from the path param.\n *   - fetchFunc Optional, custom `fetch` function. E.g., in Node.js,\n *     the `fetch` from node-fetch can be used here.\n *   - onProgress Optional, progress callback function, fired periodically\n *     before the load is completed.\n * @returns An instance of `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function http(path: string, loadOptions?: LoadOptions): IOHandler {\n  return new HTTPRequest(path, loadOptions);\n}\n\n/**\n * Deprecated. Use `tf.io.http`.\n * @param path\n * @param loadOptions\n */\nexport function browserHTTPRequest(\n    path: string, loadOptions?: LoadOptions): IOHandler {\n  return http(path, loadOptions);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers that pass through the in-memory ModelArtifacts format.\n */\n\nimport {IOHandler, ModelArtifacts, SaveResult, TrainingConfig, WeightsManifestEntry} from './types';\n\nclass PassthroughLoader implements IOHandler {\n  constructor(private readonly modelArtifacts?: ModelArtifacts) {}\n\n  async load(): Promise<ModelArtifacts> {\n    return this.modelArtifacts;\n  }\n}\n\nclass PassthroughSaver implements IOHandler {\n  constructor(\n      private readonly saveHandler:\n          (artifacts: ModelArtifacts) => Promise<SaveResult>) {}\n\n  async save(modelArtifacts: ModelArtifacts) {\n    return this.saveHandler(modelArtifacts);\n  }\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from memory.\n *\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * const model = await tf.loadLayersModel(tf.io.fromMemory(\n *     modelTopology, weightSpecs, weightData));\n * ```\n *\n * @param modelArtifacts a object containing model topology (i.e., parsed from\n *   the JSON format).\n * @param weightSpecs An array of `WeightsManifestEntry` objects describing the\n *   names, shapes, types, and quantization of the weight data.\n * @param weightData A single `ArrayBuffer` containing the weight data,\n *   concatenated in the order described by the weightSpecs.\n * @param trainingConfig Model training configuration. Optional.\n *\n * @returns A passthrough `IOHandler` that simply loads the provided data.\n */\nexport function fromMemory(\n    modelArtifacts: {}|ModelArtifacts, weightSpecs?: WeightsManifestEntry[],\n    weightData?: ArrayBuffer, trainingConfig?: TrainingConfig): IOHandler {\n  if (arguments.length === 1) {\n    const isModelArtifacts =\n        (modelArtifacts as ModelArtifacts).modelTopology != null ||\n        (modelArtifacts as ModelArtifacts).weightSpecs != null;\n    if (isModelArtifacts) {\n      return new PassthroughLoader(modelArtifacts as ModelArtifacts);\n    } else {\n      // Legacy support: with only modelTopology.\n      // TODO(cais): Remove this deprecated API.\n      console.warn(\n          'Please call tf.io.fromMemory() with only one argument. ' +\n          'The argument should be of type ModelArtifacts. ' +\n          'The multi-argument signature of tf.io.fromMemory() has been ' +\n          'deprecated and will be removed in a future release.');\n      return new PassthroughLoader({modelTopology: modelArtifacts as {}});\n    }\n  } else {\n    // Legacy support.\n    // TODO(cais): Remove this deprecated API.\n    console.warn(\n        'Please call tf.io.fromMemory() with only one argument. ' +\n        'The argument should be of type ModelArtifacts. ' +\n        'The multi-argument signature of tf.io.fromMemory() has been ' +\n        'deprecated and will be removed in a future release.');\n    return new PassthroughLoader({\n      modelTopology: modelArtifacts as {},\n      weightSpecs,\n      weightData,\n      trainingConfig\n    });\n  }\n}\n\n/**\n * Creates an IOHandler that passes saved model artifacts to a callback.\n *\n * ```js\n * function handleSave(artifacts) {\n *   // ... do something with the artifacts ...\n *   return {modelArtifactsInfo: {...}, ...};\n * }\n *\n * const saveResult = model.save(tf.io.withSaveHandler(handleSave));\n * ```\n *\n * @param saveHandler A function that accepts a `ModelArtifacts` and returns a\n *     `SaveResult`.\n */\nexport function withSaveHandler(\n    saveHandler: (artifacts: ModelArtifacts) =>\n        Promise<SaveResult>): IOHandler {\n  return new PassthroughSaver(saveHandler);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {oneHot} from './one_hot';\nimport {op} from './operation';\n\n/**\n * Computes the confusion matrix from true labels and predicted labels.\n *\n * ```js\n * const labels = tf.tensor1d([0, 1, 2, 1, 0], 'int32');\n * const predictions = tf.tensor1d([0, 2, 2, 1, 0], 'int32');\n * const numClasses = 3;\n * const out = tf.math.confusionMatrix(labels, predictions, numClasses);\n * out.print();\n * // Expected output matrix:\n * // [[2, 0, 0],\n * //  [0, 1, 1],\n * //  [0, 0, 1]]\n * ```\n *\n * @param labels The target labels, assumed to be 0-based integers\n *   for the classes. The shape is `[numExamples]`, where\n *   `numExamples` is the number of examples included.\n * @param predictions The predicted classes, assumed to be\n *   0-based integers for the classes. Must have the same shape as `labels`.\n * @param numClasses Number of all classes, as an integer.\n *   Its value must be larger than the largest element in `labels` and\n *   `predictions`.\n * @returns The confusion matrix as a int32-type 2D tensor. The value at\n *   row `r` and column `c` is the number of times examples of actual class\n *   `r` were predicted as class `c`.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nexport function confusionMatrix_(\n    labels: Tensor1D|TensorLike, predictions: Tensor1D|TensorLike,\n    numClasses: number): Tensor2D {\n  const $labels = convertToTensor(labels, 'labels', 'confusionMatrix');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'confusionMatrix');\n\n  util.assert(\n      numClasses == null || numClasses > 0 && Number.isInteger(numClasses),\n      () => `If provided, numClasses must be a positive integer, ` +\n          `but got ${numClasses}`);\n  util.assert(\n      $labels.rank === 1,\n      () => `Expected the rank of labels to be 1, but got ${$labels.rank}`);\n  util.assert(\n      $predictions.rank === 1,\n      () => `Expected the rank of predictions to be 1, ` +\n          `but got ${$predictions.rank}`);\n  util.assert(\n      $labels.shape[0] === $predictions.shape[0],\n      () => `Mismatch in the number of examples: ` +\n          `${$labels.shape[0]} vs. ${$predictions.shape[0]}. ` +\n          `Labels and predictions should have the same number of elements.`);\n  util.assert(\n      numClasses > 0 && Number.isInteger(numClasses),\n      () => `numClasses is required to be a positive integer, but got ` +\n          `${numClasses}`);\n  // TODO(cais): In the future, if oneHot supports tensors inputs for\n  //   `numClasses`, `confusionMatrix` can make `numClasses` optional.\n\n  const oneHotLabels = oneHot($labels.asType('int32'), numClasses) as Tensor2D;\n  const oneHotPredictions =\n      oneHot($predictions.asType('int32'), numClasses) as Tensor2D;\n  const oneHotLabelsT: Tensor2D = oneHotLabels.transpose();\n  return oneHotLabelsT.matMul(oneHotPredictions).asType('int32');\n}\n\nexport const confusionMatrix = op({confusionMatrix_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {getKernel} from '../kernel_registry';\nimport {Tensor, Tensor2D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {PixelData, TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {tensor3d} from './tensor_ops';\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\n/**\n * Creates a `tf.Tensor` from an image.\n *\n * ```js\n * const image = new ImageData(1, 1);\n * image.data[0] = 100;\n * image.data[1] = 150;\n * image.data[2] = 200;\n * image.data[3] = 255;\n *\n * tf.browser.fromPixels(image).print();\n * ```\n *\n * @param pixels The input image to construct the tensor from. The\n * supported image types are all 4-channel. You can also pass in an image\n * object with following attributes:\n * `{data: Uint8Array; width: number; height: number}`\n * @param numChannels The number of channels of the output tensor. A\n * numChannels value less than 4 allows you to ignore channels. Defaults to\n * 3 (ignores alpha channel of input image).\n */\n/** @doc {heading: 'Browser', namespace: 'browser', ignoreCI: true} */\nfunction fromPixels_(\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement,\n    numChannels = 3): Tensor3D {\n  // Sanity checks.\n  if (numChannels > 4) {\n    throw new Error(\n        'Cannot construct Tensor with more than 4 channels from pixels.');\n  }\n  if (pixels == null) {\n    throw new Error('pixels passed to tf.browser.fromPixels() can not be null');\n  }\n  let isPixelData = false;\n  let isImageData = false;\n  let isVideo = false;\n  let isImage = false;\n  let isCanvasLike = false;\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    isPixelData = true;\n  } else if (\n      typeof (ImageData) !== 'undefined' && pixels instanceof ImageData) {\n    isImageData = true;\n  } else if (\n      typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement) {\n    isVideo = true;\n  } else if (\n      typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement) {\n    isImage = true;\n    // tslint:disable-next-line: no-any\n  } else if ((pixels as any).getContext != null) {\n    isCanvasLike = true;\n  } else {\n    throw new Error(\n        'pixels passed to tf.browser.fromPixels() must be either an ' +\n        `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +\n        `in browser, or OffscreenCanvas, ImageData in webworker` +\n        ` or {data: Uint32Array, width: number, height: number}, ` +\n        `but was ${(pixels as {}).constructor.name}`);\n  }\n  if (isVideo) {\n    const HAVE_CURRENT_DATA_READY_STATE = 2;\n    if (isVideo &&\n        (pixels as HTMLVideoElement).readyState <\n            HAVE_CURRENT_DATA_READY_STATE) {\n      throw new Error(\n          'The video element has not loaded data yet. Please wait for ' +\n          '`loadeddata` event on the <video> element.');\n    }\n  }\n  // If the current backend has 'FromPixels' registered, it has a more\n  // efficient way of handling pixel uploads, so we call that.\n  const kernel = getKernel('FromPixels', ENGINE.backendName);\n  if (kernel != null) {\n    return ENGINE.runKernel('FromPixels', {pixels} as {}, {numChannels}) as\n        Tensor3D;\n  }\n\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n  let vals: Uint8ClampedArray|Uint8Array;\n\n  if (isCanvasLike) {\n    vals =\n        // tslint:disable-next-line:no-any\n        (pixels as any).getContext('2d').getImageData(0, 0, width, height).data;\n  } else if (isImageData || isPixelData) {\n    vals = (pixels as PixelData | ImageData).data;\n  } else if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement, 0, 0, width, height);\n    vals = fromPixels2DContext.getImageData(0, 0, width, height).data;\n  }\n  let values: Int32Array;\n  if (numChannels === 4) {\n    values = new Int32Array(vals);\n  } else {\n    const numPixels = width * height;\n    values = new Int32Array(numPixels * numChannels);\n    for (let i = 0; i < numPixels; i++) {\n      for (let channel = 0; channel < numChannels; ++channel) {\n        values[i * numChannels + channel] = vals[i * 4 + channel];\n      }\n    }\n  }\n  const outShape: [number, number, number] = [height, width, numChannels];\n  return tensor3d(values, outShape, 'int32');\n}\n\n/**\n * Draws a `tf.Tensor` of pixel values to a byte array or optionally a\n * canvas.\n *\n * When the dtype of the input is 'float32', we assume values in the range\n * [0-1]. Otherwise, when input is 'int32', we assume values in the range\n * [0-255].\n *\n * Returns a promise that resolves when the canvas has been drawn to.\n *\n * @param img A rank-2 or rank-3 tensor. If rank-2, draws grayscale. If\n *     rank-3, must have depth of 1, 3 or 4. When depth of 1, draws\n * grayscale. When depth of 3, we draw with the first three components of\n * the depth dimension corresponding to r, g, b and alpha = 1. When depth of\n * 4, all four components of the depth dimension correspond to r, g, b, a.\n * @param canvas The canvas to draw to.\n */\n/** @doc {heading: 'Browser', namespace: 'browser'} */\nexport async function toPixels(\n    img: Tensor2D|Tensor3D|TensorLike,\n    canvas?: HTMLCanvasElement): Promise<Uint8ClampedArray> {\n  let $img = convertToTensor(img, 'img', 'toPixels');\n  if (!(img instanceof Tensor)) {\n    // Assume int32 if user passed a native array.\n    $img = $img.toInt();\n  }\n  if ($img.rank !== 2 && $img.rank !== 3) {\n    throw new Error(\n        `toPixels only supports rank 2 or 3 tensors, got rank ${$img.rank}.`);\n  }\n  const [height, width] = $img.shape.slice(0, 2);\n  const depth = $img.rank === 2 ? 1 : $img.shape[2];\n\n  if (depth > 4 || depth === 2) {\n    throw new Error(\n        `toPixels only supports depth of size ` +\n        `1, 3 or 4 but got ${depth}`);\n  }\n\n  const data = await $img.data();\n  const minTensor = $img.min();\n  const maxTensor = $img.max();\n  const vals = await Promise.all([minTensor.data(), maxTensor.data()]);\n  const minVals = vals[0];\n  const maxVals = vals[1];\n  const min = minVals[0];\n  const max = maxVals[0];\n  minTensor.dispose();\n  maxTensor.dispose();\n  if ($img.dtype === 'float32') {\n    if (min < 0 || max > 1) {\n      throw new Error(\n          `Tensor values for a float32 Tensor must be in the ` +\n          `range [0 - 1] but got range [${min} - ${max}].`);\n    }\n  } else if ($img.dtype === 'int32') {\n    if (min < 0 || max > 255) {\n      throw new Error(\n          `Tensor values for a int32 Tensor must be in the ` +\n          `range [0 - 255] but got range [${min} - ${max}].`);\n    }\n  } else {\n    throw new Error(\n        `Unsupported type for toPixels: ${$img.dtype}.` +\n        ` Please use float32 or int32 tensors.`);\n  }\n  const multiplier = $img.dtype === 'float32' ? 255 : 1;\n  const bytes = new Uint8ClampedArray(width * height * 4);\n\n  for (let i = 0; i < height * width; ++i) {\n    let r, g, b, a;\n    if (depth === 1) {\n      r = data[i] * multiplier;\n      g = data[i] * multiplier;\n      b = data[i] * multiplier;\n      a = 255;\n    } else if (depth === 3) {\n      r = data[i * 3] * multiplier;\n      g = data[i * 3 + 1] * multiplier;\n      b = data[i * 3 + 2] * multiplier;\n      a = 255;\n    } else if (depth === 4) {\n      r = data[i * 4] * multiplier;\n      g = data[i * 4 + 1] * multiplier;\n      b = data[i * 4 + 2] * multiplier;\n      a = data[i * 4 + 3] * multiplier;\n    }\n\n    const j = i * 4;\n    bytes[j + 0] = Math.round(r);\n    bytes[j + 1] = Math.round(g);\n    bytes[j + 2] = Math.round(b);\n    bytes[j + 3] = Math.round(a);\n  }\n\n  if (canvas != null) {\n    canvas.width = width;\n    canvas.height = height;\n    const ctx = canvas.getContext('2d');\n    const imageData = new ImageData(bytes, width, height);\n    ctx.putImageData(imageData, 0, 0);\n  }\n  if ($img !== img) {\n    $img.dispose();\n  }\n  return bytes;\n}\n\nexport const fromPixels = op({fromPixels_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from './util';\n\n/**\n * Types to support JSON-esque data structures internally.\n *\n * Internally ConfigDict's use camelCase keys and values where the\n * values are class names to be instantiated.  On the python side, these\n * will be snake_case.  Internally we allow Enums into the values for better\n * type safety, but these need to be converted to raw primitives (usually\n * strings) for round-tripping with python.\n *\n * toConfig returns the TS-friendly representation. model.toJSON() returns\n * the pythonic version as that's the portable format.  If you need to\n * python-ify a non-model level toConfig output, you'll need to use a\n * convertTsToPythonic from serialization_utils in -Layers.\n *\n */\nexport declare type ConfigDictValue =\n    boolean | number | string | null | ConfigDictArray | ConfigDict;\nexport declare interface ConfigDict {\n  [key: string]: ConfigDictValue;\n}\nexport declare interface ConfigDictArray extends Array<ConfigDictValue> {}\n\n/**\n * Type to represent the class-type of Serializable objects.\n *\n * Ie the class prototype with access to the constructor and any\n * static members/methods. Instance methods are not listed here.\n *\n * Source for this idea: https://stackoverflow.com/a/43607255\n */\nexport declare type SerializableConstructor<T extends Serializable> = {\n  // tslint:disable-next-line:no-any\n  new (...args: any[]): T; className: string; fromConfig: FromConfigMethod<T>;\n};\nexport declare type FromConfigMethod<T extends Serializable> =\n    (cls: SerializableConstructor<T>, config: ConfigDict) => T;\n\n/**\n * Serializable defines the serialization contract.\n *\n * TFJS requires serializable classes to return their className when asked\n * to avoid issues with minification.\n */\nexport abstract class Serializable {\n  /**\n   * Return the class name for this class to use in serialization contexts.\n   *\n   * Generally speaking this will be the same thing that constructor.name\n   * would have returned.  However, the class name needs to be robust\n   * against minification for serialization/deserialization to work properly.\n   *\n   * There's also places such as initializers.VarianceScaling, where\n   * implementation details between different languages led to different\n   * class hierarchies and a non-leaf node is used for serialization purposes.\n   */\n  getClassName(): string {\n    return (this.constructor as SerializableConstructor<Serializable>)\n        .className;\n  }\n\n  /**\n   * Return all the non-weight state needed to serialize this object.\n   */\n  abstract getConfig(): ConfigDict;\n\n  /**\n   * Creates an instance of T from a ConfigDict.\n   *\n   * This works for most descendants of serializable.  A few need to\n   * provide special handling.\n   * @param cls A Constructor for the class to instantiate.\n   * @param config The Configuration for the object.\n   */\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config);\n  }\n}\n\n/**\n * Maps string keys to class constructors.\n *\n * Used during (de)serialization from the cross-language JSON format, which\n * requires the class name in the serialization format matches the class\n * names as used in Python, should it exist.\n */\nexport class SerializationMap {\n  private static instance: SerializationMap;\n  classNameMap: {\n    [className: string]:\n        [SerializableConstructor<Serializable>, FromConfigMethod<Serializable>]\n  };\n\n  private constructor() {\n    this.classNameMap = {};\n  }\n\n  /**\n   * Returns the singleton instance of the map.\n   */\n  static getMap(): SerializationMap {\n    if (SerializationMap.instance == null) {\n      SerializationMap.instance = new SerializationMap();\n    }\n    return SerializationMap.instance;\n  }\n\n  /**\n   * Registers the class as serializable.\n   */\n  static register<T extends Serializable>(cls: SerializableConstructor<T>) {\n    SerializationMap.getMap().classNameMap[cls.className] =\n        [cls, cls.fromConfig];\n  }\n}\n\n/**\n * Register a class with the serialization map of TensorFlow.js.\n *\n * This is often used for registering custom Layers, so they can be\n * serialized and deserialized.\n *\n * Example:\n *\n * ```js\n * class MyCustomLayer extends tf.layers.Layer {\n *   static className = 'MyCustomLayer';\n *\n *   constructor(config) {\n *     super(config);\n *   }\n * }\n * tf.serialization.registerClass(MyCustomLayer);\n * ```\n *\n * @param cls The class to be registered. It must have a public static member\n *   called `className` defined and the value must be a non-empty string.\n */\n/** @doc {heading: 'Models', subheading: 'Serialization', ignoreCI: true} */\nexport function registerClass<T extends Serializable>(\n    cls: SerializableConstructor<T>) {\n  assert(\n      cls.className != null,\n      () => `Class being registered does not have the static className ` +\n          `property defined.`);\n  assert(\n      typeof cls.className === 'string',\n      () => `className is required to be a string, but got type ` +\n          typeof cls.className);\n  assert(\n      cls.className.length > 0,\n      () => `Class being registered has an empty-string as its className, ` +\n          `which is disallowed.`);\n\n  SerializationMap.register(cls);\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as gpgpu_util from './backends/webgl/gpgpu_util';\nimport * as webgl_util from './backends/webgl/webgl_util';\nimport {env} from './environment';\n\nexport {MathBackendWebGL, WebGLMemoryInfo, WebGLTimingInfo} from './backends/webgl/backend_webgl';\nexport {setWebGLContext} from './backends/webgl/canvas_util';\nexport {GPGPUContext} from './backends/webgl/gpgpu_context';\nexport {GPGPUProgram} from './backends/webgl/gpgpu_math';\n// WebGL specific utils.\nexport {gpgpu_util, webgl_util};\n\n/**\n * Enforce use of half precision textures if available on the platform.\n */\n/** @doc {heading: 'Environment', namespace: 'webgl'} */\nexport function forceHalfFloat(): void {\n  env().set('WEBGL_FORCE_F16_TEXTURES', true);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {dispose} from '../globals';\nimport {variableGrads} from '../gradients';\nimport {scalar} from '../ops/ops';\nimport {Serializable} from '../serialization';\nimport {Scalar, Variable} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\n/**\n * A variable that belongs to an optimizer.\n *\n * The `originalName` field is required for keeping track of the canonical\n * name of the variable, which is usually the name of the model weight that\n * the variable is related to plus a suffix, e.g., 'dense1/kernel/momentum'.\n * The name of the `Variable` object itself cannot be used directly due to\n * possible deduplication: Every `Variable` must have a unique name but more\n * than one optimizer objects of the same type may be created for the same model\n * or the same `Variable`.\n */\nexport interface OptimizerVariable {\n  originalName: string;\n  variable: Variable;\n}\n\n/** @doc {heading: 'Training', subheading: 'Classes', namespace: 'train'} */\nexport abstract class Optimizer extends Serializable {\n  protected iterations_: number;\n\n  /**\n   * Executes `f()` and minimizes the scalar output of `f()` by computing\n   * gradients of y with respect to the list of trainable variables provided by\n   * `varList`. If no list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to minimize.\n   * @param returnCost Whether to return the scalar cost value produced by\n   * executing `f()`.\n   * @param varList An optional list of variables to update. If specified, only\n   * the trainable variables in varList will be updated by minimize. Defaults to\n   * all trainable variables.\n   */\n  /** @doc {heading: 'Training', subheading: 'Optimizers'} */\n  minimize(f: () => Scalar, returnCost = false, varList?: Variable[]): Scalar\n      |null {\n    const {value, grads} = this.computeGradients(f, varList);\n\n    if (varList != null) {\n      const gradArray: NamedTensor[] =\n          varList.map(v => ({name: v.name, tensor: grads[v.name]}));\n      this.applyGradients(gradArray);\n    } else {\n      this.applyGradients(grads);\n    }\n\n    // Dispose gradients.\n    dispose(grads);\n\n    if (returnCost) {\n      return value;\n    } else {\n      value.dispose();\n      return null;\n    }\n  }\n\n  /**\n   * The number of iterations that this optimizer instance has been invoked for.\n   */\n  get iterations(): number {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return this.iterations_;\n  }\n\n  protected incrementIterations() {\n    this.iterations_ = this.iterations + 1;\n  }\n\n  /**\n   * Executes f() and computes the gradient of the scalar output of f() with\n   * respect to the list of trainable variables provided by `varList`. If no\n   * list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to use for computing\n   * gradients with respect to variables.\n   * @param varList An optional list of variables to compute gradients with\n   * respect to. If specified, only the trainable variables in varList will have\n   * gradients computed with respect to. Defaults to all trainable variables.\n   */\n  computeGradients(f: () => Scalar, varList?: Variable[]):\n      {value: Scalar, grads: NamedTensorMap} {\n    return variableGrads(f, varList);\n  }\n\n  /**\n   * Updates variables by using the computed gradients.\n   *\n   * @param variableGradients A mapping of variable name to its gradient value.\n   */\n  abstract applyGradients(variableGradients: NamedTensorMap|\n                          NamedTensor[]): void;\n\n  /**\n   * Dispose the variables (if any) owned by this optimizer instance.\n   */\n  dispose(): void {\n    if (this.iterations_ != null) {\n      dispose(this.iterations_);\n    }\n  }\n\n  async saveIterations(): Promise<NamedTensor> {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return {\n      name: 'iter',  // Named for Python compatibility.\n      // TODO(cais): Use 'int64' type when available.\n      tensor: scalar(this.iterations_, 'int32')\n    };\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for this optimizer yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error(\n        `setWeights() is not implemented for this optimizer class ` +\n        `${this.getClassName()}`);\n  }\n\n  /**\n   * Extract the first element of the weight values and set it\n   * as the iterations counter variable of this instance of optimizer.\n   *\n   * @param weightValues\n   * @returns Weight values with the first element consumed and excluded.\n   */\n  protected async extractIterations(weightValues: NamedTensor[]):\n      Promise<NamedTensor[]> {\n    this.iterations_ = (await weightValues[0].tensor.data())[0];\n    return weightValues.slice(1);\n  }\n}\n\nObject.defineProperty(Optimizer, Symbol.hasInstance, {\n  value: (instance: Optimizer) => {\n    return instance.minimize != null && instance.computeGradients != null &&\n        instance.applyGradients != null;\n  }\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdadeltaOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adadelta';  // Name matters for Python compatibility.\n  private accumulatedGrads: OptimizerVariable[] = [];\n  private accumulatedUpdates: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected rho: number,\n      protected epsilon: number = null) {\n    super();\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedGrads[i] == null) {\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accum_grad`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedUpdates[i] == null) {\n        this.accumulatedUpdates[i] = {\n          originalName: `${name}/accum_var`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n      const accumulatedUpdate = this.accumulatedUpdates[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.mul(this.rho).add(\n            gradient.square().mul(1 - this.rho));\n\n        const updates = accumulatedUpdate.add(this.epsilon)\n                            .sqrt()\n                            .div(accumulatedGrad.add(this.epsilon).sqrt())\n                            .mul(gradient);\n\n        const newAccumulatedUpdate = accumulatedUpdate.mul(this.rho).add(\n            updates.square().mul(1 - this.rho));\n\n        accumulatedGrad.assign(newAccumulatedGrad);\n        accumulatedUpdate.assign(newAccumulatedUpdate);\n\n        const newValue = updates.mul(-this.learningRate).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedUpdates != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n      dispose(this.accumulatedUpdates.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedGrads, ...this.accumulatedUpdates];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedGrads =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedUpdates =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'rho': this.rho,\n      'epsilon': this.epsilon\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['rho'], config['epsilon']);\n  }\n}\nregisterClass(AdadeltaOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {fill} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdagradOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adagrad';  // Note: Name matters for Python compatibility.\n\n  private accumulatedGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private initialAccumulatorValue = 0.1) {\n    super();\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulatedGrads[i] == null) {\n        const trainable = false;\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accumulator`,\n          variable: tidy(\n              () => fill(value.shape, this.initialAccumulatorValue)\n                        .variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.add(gradient.square());\n        accumulatedGrad.assign(newAccumulatedGrad);\n\n        const newValue =\n            gradient\n                .div(newAccumulatedGrad.add(ENGINE.backend.epsilon()).sqrt())\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedGrads != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulatedGrads.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulatedGrads = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'initialAccumulatorValue': this.initialAccumulatorValue,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['initialAccumulatorValue']);\n  }\n}\nregisterClass(AdagradOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {pow, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adam';  // Note: Name matters for Python compatibility.\n  private accBeta1: Variable;\n  private accBeta2: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedSecondMoment: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null) {\n    super();\n    tidy(() => {\n      // accB* will be updated by batch.\n      this.accBeta1 = scalar(beta1).variable();\n      this.accBeta2 = scalar(beta2).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const oneMinusAccBeta2 = sub(1, this.accBeta2);\n\n      varNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n        if (this.accumulatedSecondMoment[i] == null) {\n          this.accumulatedSecondMoment[i] = {\n            originalName: `${name}/v`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const secondMoment = this.accumulatedSecondMoment[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n        const newSecondMoment = secondMoment.mul(this.beta2)\n                                    .add(gradient.square().mul(1 - this.beta2));\n\n        const biasCorrectedFirstMoment = newFirstMoment.div(oneMinusAccBeta1);\n        const biasCorrectedSecondMoment = newSecondMoment.div(oneMinusAccBeta2);\n\n        firstMoment.assign(newFirstMoment);\n        secondMoment.assign(newSecondMoment);\n\n        const newValue =\n            biasCorrectedFirstMoment\n                .div(biasCorrectedSecondMoment.sqrt().add(this.epsilon))\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n      this.accBeta2.assign(this.accBeta2.mul(this.beta2));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.accBeta2.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedSecondMoment != null) {\n      dispose(this.accumulatedSecondMoment.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedFirstMoment, ...this.accumulatedSecondMoment];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    tidy(() => {\n      this.accBeta1.assign(pow(this.beta1, this.iterations_ + 1));\n      this.accBeta2.assign(pow(this.beta2, this.iterations_ + 1));\n    });\n\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedFirstMoment =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedSecondMoment =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon']);\n  }\n}\nregisterClass(AdamOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {div, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamaxOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adamax';  // Note: Name matters for Python compatbility.\n  private accBeta1: Variable;\n  private iteration: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedWeightedInfNorm: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null,\n      protected decay = 0.0) {\n    super();\n\n    tidy(() => {\n      this.iteration = scalar(0).variable();\n      this.accBeta1 = scalar(beta1).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const lr = div(-this.learningRate, this.iteration.mul(this.decay).add(1));\n\n      variableNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n        if (this.accumulatedWeightedInfNorm[i] == null) {\n          this.accumulatedWeightedInfNorm[i] = {\n            originalName: `${name}/v`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const weightedInfNorm = this.accumulatedWeightedInfNorm[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n\n        const ut0 = weightedInfNorm.mul(this.beta2);\n        const ut1 = gradient.abs();\n\n        const newWeightedInfNorm = ut0.maximum(ut1);\n\n        firstMoment.assign(newFirstMoment);\n        weightedInfNorm.assign(newWeightedInfNorm);\n\n        const newValue =\n            lr.div(oneMinusAccBeta1)\n                .mul(newFirstMoment.div(newWeightedInfNorm.add(this.epsilon)))\n                .add(value);\n\n        value.assign(newValue);\n      });\n\n      this.iteration.assign(this.iteration.add(1));\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.iteration.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedWeightedInfNorm != null) {\n      dispose(this.accumulatedWeightedInfNorm.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for Adamax yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error('setWeights() is not implemented for Adamax yet.');\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n      'decay': this.decay\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon'], config['decay']);\n  }\n}\nregisterClass(AdamaxOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {keep, tidy} from '../globals';\nimport {scalar} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer} from './optimizer';\n\n/** @doclink Optimizer */\nexport class SGDOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'SGD';  // Note: Name matters for Python compatibility.\n  protected c: Scalar;\n\n  constructor(protected learningRate: number) {\n    super();\n    this.setLearningRate(learningRate);\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    varNames.forEach((name, i) => {\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n      const value = ENGINE.registeredVariables[name];\n      tidy(() => {\n        const newValue = this.c.mul(gradient).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  /**\n   * Sets the learning rate of the optimizer.\n   */\n  setLearningRate(learningRate: number) {\n    this.learningRate = learningRate;\n    if (this.c != null) {\n      this.c.dispose();\n    }\n    this.c = keep(scalar(-learningRate));\n  }\n\n  dispose() {\n    this.c.dispose();\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    return [await this.saveIterations()];\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    if (weightValues.length !== 0) {\n      throw new Error('SGD optimizer does not have settable weights.');\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {'learningRate': this.learningRate};\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate']);\n  }\n}\nregisterClass(SGDOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {scalar, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar, Tensor} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {OptimizerVariable} from './optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\n/** @doclink Optimizer */\nexport class MomentumOptimizer extends SGDOptimizer {\n  /** @nocollapse */\n  static className = 'Momentum';  // Name matters for Python compatibility.\n  private m: Scalar;\n  private accumulations: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private momentum: number,\n      private useNesterov = false) {\n    super(learningRate);\n    this.m = scalar(this.momentum);\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulations[i] == null) {\n        const trainable = false;\n        this.accumulations[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const accumulation = this.accumulations[i].variable;\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      tidy(() => {\n        let newValue: Tensor;\n        const newAccumulation = this.m.mul(accumulation).add(gradient);\n        if (this.useNesterov) {\n          newValue =\n              this.c.mul(gradient.add(newAccumulation.mul(this.m))).add(value);\n        } else {\n          newValue = this.c.mul(newAccumulation).add(value);\n        }\n        accumulation.assign(newAccumulation);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.m.dispose();\n    if (this.accumulations != null) {\n      dispose(this.accumulations.map(v => v.variable));\n    }\n  }\n\n  /**\n   * Sets the momentum of the optimizer.\n   *\n   * @param momentum\n   */\n  setMomentum(momentum: number) {\n    this.momentum = momentum;\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulations.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulations = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'momentum': this.momentum,\n      'useNesterov': this.useNesterov\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['momentum'], config['useNesterov']);\n  }\n}\nregisterClass(MomentumOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class RMSPropOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'RMSProp';  // Note: Name matters for Python compatibility.\n  private centered: boolean;\n\n  private accumulatedMeanSquares: OptimizerVariable[] = [];\n  private accumulatedMoments: OptimizerVariable[] = [];\n  private accumulatedMeanGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected decay = 0.9,\n      protected momentum = 0.0, protected epsilon: number = null,\n      centered = false) {\n    super();\n\n    this.centered = centered;\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n    if (learningRate == null) {\n      throw new Error(`learningRate for RMSPropOptimizer must be defined.`);\n    }\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedMeanSquares[i] == null) {\n        this.accumulatedMeanSquares[i] = {\n          originalName: `${name}/rms`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMoments[i] == null) {\n        this.accumulatedMoments[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMeanGrads[i] == null && this.centered) {\n        this.accumulatedMeanGrads[i] = {\n          originalName: `${name}/mg`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedMeanSquare = this.accumulatedMeanSquares[i].variable;\n      const accumulatedMoments = this.accumulatedMoments[i].variable;\n      tidy(() => {\n        const newAccumulatedMeanSquare =\n            accumulatedMeanSquare.mul(this.decay)\n                .add(gradient.square().mul(1 - this.decay));\n\n        if (this.centered) {\n          const accumulatedMeanGrad = this.accumulatedMeanGrads[i].variable;\n          // Centered gradient\n          const newAccumulatedMeanGrad = accumulatedMeanGrad.mul(this.decay)\n                                             .add(gradient.mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare\n                                    .sub(newAccumulatedMeanGrad.square().add(\n                                        this.epsilon))\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMeanGrad.assign(newAccumulatedMeanGrad);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        } else {\n          // Plain gradient\n          const newAccumulatedMeanSquare =\n              accumulatedMeanSquare.mul(this.decay)\n                  .add(gradient.square().mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare.add(this.epsilon)\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        }\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedMeanSquares != null) {\n      dispose(this.accumulatedMeanSquares.map(v => v.variable));\n    }\n    if (this.accumulatedMeanGrads != null && this.centered) {\n      dispose(this.accumulatedMeanGrads.map(v => v.variable));\n    }\n    if (this.accumulatedMoments != null) {\n      dispose(this.accumulatedMoments.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedMeanSquares, ...this.accumulatedMoments];\n    if (this.centered) {\n      variables.push(...this.accumulatedMeanGrads);\n    }\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount =\n        this.centered ? weightValues.length / 3 : weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedMeanSquares =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedMoments =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n    if (this.centered) {\n      this.accumulatedMeanGrads =\n          weightValues.slice(variableCount * 2, variableCount * 3)\n              .map(v => ({\n                     originalName: v.name,\n                     variable: v.tensor.variable(trainable)\n                   }));\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'decay': this.decay,\n      'momentum': this.momentum,\n      'epsilon': this.epsilon,\n      'centered': this.centered\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['decay'], config['momentum'],\n        config['epsilon'], config['centered']);\n  }\n}\nregisterClass(RMSPropOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AdadeltaOptimizer} from './adadelta_optimizer';\nimport {AdagradOptimizer} from './adagrad_optimizer';\nimport {AdamOptimizer} from './adam_optimizer';\nimport {AdamaxOptimizer} from './adamax_optimizer';\nimport {MomentumOptimizer} from './momentum_optimizer';\nimport {RMSPropOptimizer} from './rmsprop_optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\nexport class OptimizerConstructors {\n  /**\n   * Constructs a `tf.SGDOptimizer` that uses stochastic gradient descent.\n   *\n   * ```js\n   * // Fit a quadratic function by learning the coefficients a, b, c.\n   * const xs = tf.tensor1d([0, 1, 2, 3]);\n   * const ys = tf.tensor1d([1.1, 5.9, 16.8, 33.9]);\n   *\n   * const a = tf.scalar(Math.random()).variable();\n   * const b = tf.scalar(Math.random()).variable();\n   * const c = tf.scalar(Math.random()).variable();\n   *\n   * // y = a * x^2 + b * x + c.\n   * const f = x => a.mul(x.square()).add(b.mul(x)).add(c);\n   * const loss = (pred, label) => pred.sub(label).square().mean();\n   *\n   * const learningRate = 0.01;\n   * const optimizer = tf.train.sgd(learningRate);\n   *\n   * // Train the model.\n   * for (let i = 0; i < 10; i++) {\n   *   optimizer.minimize(() => loss(f(xs), ys));\n   * }\n   *\n   * // Make predictions.\n   * console.log(\n   *     `a: ${a.dataSync()}, b: ${b.dataSync()}, c: ${c.dataSync()}`);\n   * const preds = f(xs).dataSync();\n   * preds.forEach((pred, i) => {\n   *   console.log(`x: ${i}, pred: ${pred}`);\n   * });\n   * ```\n   *\n   * @param learningRate The learning rate to use for the SGD algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static sgd(learningRate: number): SGDOptimizer {\n    return new SGDOptimizer(learningRate);\n  }\n\n  /**\n   * Constructs a `tf.MomentumOptimizer` that uses momentum gradient\n   * descent.\n   *\n   * See\n   * [http://proceedings.mlr.press/v28/sutskever13.pdf](\n   * http://proceedings.mlr.press/v28/sutskever13.pdf)\n   *\n   * @param learningRate The learning rate to use for the Momentum gradient\n   * descent algorithm.\n   * @param momentum The momentum to use for the momentum gradient descent\n   * algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static momentum(learningRate: number, momentum: number, useNesterov = false):\n      MomentumOptimizer {\n    return new MomentumOptimizer(learningRate, momentum, useNesterov);\n  }\n\n  /**\n   * Constructs a `tf.RMSPropOptimizer` that uses RMSProp gradient\n   * descent. This implementation uses plain momentum and is not centered\n   * version of RMSProp.\n   *\n   * See\n   * [http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf](\n   * http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf)\n   *\n   * @param learningRate The learning rate to use for the RMSProp gradient\n   * descent algorithm.\n   * @param decay The discounting factor for the history/coming gradient.\n   * @param momentum The momentum to use for the RMSProp gradient descent\n   * algorithm.\n   * @param epsilon Small value to avoid zero denominator.\n   * @param centered If true, gradients are normalized by the estimated\n   * variance of the gradient.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static rmsprop(\n      learningRate: number, decay = .9, momentum = 0.0, epsilon: number = null,\n      centered = false): RMSPropOptimizer {\n    return new RMSPropOptimizer(\n        learningRate, decay, momentum, epsilon, centered);\n  }\n\n  /**\n   * Constructs a `tf.AdamOptimizer` that uses the Adam algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adam gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adam(\n      learningRate = 0.001, beta1 = 0.9, beta2 = 0.999,\n      epsilon: number = null): AdamOptimizer {\n    return new AdamOptimizer(learningRate, beta1, beta2, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdadeltaOptimizer` that uses the Adadelta algorithm.\n   * See [https://arxiv.org/abs/1212.5701](https://arxiv.org/abs/1212.5701)\n   *\n   * @param learningRate The learning rate to use for the Adadelta gradient\n   * descent algorithm.\n   * @param rho The learning rate decay over each update.\n   * @param epsilon A constant epsilon used to better condition the grad\n   * update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adadelta(learningRate = .001, rho = .95, epsilon: number = null):\n      AdadeltaOptimizer {\n    return new AdadeltaOptimizer(learningRate, rho, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdamaxOptimizer` that uses the Adamax algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adamax gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   * @param decay The learning rate decay over each update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adamax(\n      learningRate = 0.002, beta1 = 0.9, beta2 = 0.999, epsilon: number = null,\n      decay = 0.0): AdamaxOptimizer {\n    return new AdamaxOptimizer(learningRate, beta1, beta2, epsilon, decay);\n  }\n\n  /**\n   * Constructs a `tf.AdagradOptimizer` that uses the Adagrad algorithm.\n   * See\n   * [http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf](\n   * http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf)\n   * or\n   * [http://ruder.io/optimizing-gradient-descent/index.html#adagrad](\n   * http://ruder.io/optimizing-gradient-descent/index.html#adagrad)\n   *\n   * @param learningRate The learning rate to use for the Adagrad gradient\n   * descent algorithm.\n   * @param initialAccumulatorValue Starting value for the accumulators, must be\n   * positive.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adagrad(learningRate: number, initialAccumulatorValue = 0.1):\n      AdagradOptimizer {\n    return new AdagradOptimizer(learningRate, initialAccumulatorValue);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// So typings can propagate.\nimport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nimport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nimport {AdamOptimizer} from './optimizers/adam_optimizer';\nimport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nimport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nimport {OptimizerConstructors} from './optimizers/optimizer_constructors';\nimport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nimport {SGDOptimizer} from './optimizers/sgd_optimizer';\n\n// tslint:disable-next-line:no-unused-expression\n[MomentumOptimizer, SGDOptimizer, AdadeltaOptimizer, AdagradOptimizer,\n RMSPropOptimizer, AdamaxOptimizer, AdamOptimizer];\n\nexport const train = {\n  sgd: OptimizerConstructors.sgd,\n  momentum: OptimizerConstructors.momentum,\n  adadelta: OptimizerConstructors.adadelta,\n  adagrad: OptimizerConstructors.adagrad,\n  rmsprop: OptimizerConstructors.rmsprop,\n  adamax: OptimizerConstructors.adamax,\n  adam: OptimizerConstructors.adam\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst delayCallback: Function = (() => {\n  if (typeof requestAnimationFrame !== 'undefined') {\n    return requestAnimationFrame;\n  } else if (typeof setImmediate !== 'undefined') {\n    return setImmediate;\n  }\n  return (f: Function) => f();  // no delays\n})();\n\n/**\n * Returns a promise that resolve when a requestAnimationFrame has completed.\n *\n * On Node.js this uses setImmediate instead of requestAnimationFrame.\n *\n * This is simply a sugar method so that users can do the following:\n * `await tf.nextFrame();`\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nfunction nextFrame(): Promise<void> {\n  return new Promise<void>(resolve => delayCallback(() => resolve()));\n}\n\nexport {nextFrame};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {add} from '../../ops/add';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    add<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.add = function<T extends Tensor>(b: Tensor|TensorLike): T {\n  return add(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {broadcastTo} from '../../ops/broadcast_to';\nimport {Tensor} from '../../tensor';\nimport {Rank, ShapeMap} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    broadcastTo<R extends Rank>(shape: ShapeMap[R]): Tensor<R>;\n  }\n}\n\nTensor.prototype.broadcastTo = function<R extends Rank>(shape: ShapeMap[R]):\n    Tensor<R> {\n  return broadcastTo(this, shape);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {div} from '../../ops/div';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    div<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.div = function<T extends Tensor>(b: Tensor|TensorLike): T {\n  return div(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {divNoNan} from '../../ops/div_no_nan';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    divNoNan<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.divNoNan = function<T extends Tensor>(b: Tensor|\n                                                       TensorLike): T {\n  return divNoNan(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {squaredDifference} from '../../ops/squared_difference';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    squaredDifference<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.squaredDifference = function<T extends Tensor>(b: Tensor|\n                                                                TensorLike): T {\n  return squaredDifference(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tile} from '../../ops/tile';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    tile<T extends Tensor>(b: number[]): T;\n  }\n}\n\nTensor.prototype.tile = function<T extends Tensor>(reps: number[]): T {\n  return tile(this, reps) as T;\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {oneHot} from '../../ops/one_hot';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    oneHot(depth: number, onValue: number, offValue: number): Tensor;\n  }\n}\n\nTensor.prototype.oneHot = function(\n    depth: number, onValue = 1, offValue = 0): Tensor {\n  return oneHot(this, depth, onValue, offValue);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {transpose} from '../../ops/transpose';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    transpose<T extends Tensor>(perm?: number[]): T;\n  }\n}\n\nTensor.prototype.transpose = function<T extends Tensor>(\n    this: T, perm?: number[]): T {\n  return transpose(this, perm);\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {pad} from '../../ops/pad';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    pad<T extends Tensor>(\n        paddings: Array<[number, number]>, constantValue?: number): T;\n  }\n}\n\nTensor.prototype.pad = function<T extends Tensor>(\n    this: T, paddings: Array<[number, number]>, constantValue: number): T {\n  return pad(this, paddings, constantValue);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {batchNorm} from '../../ops/batchnorm';\nimport {Tensor, Tensor1D} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    batchNorm<T extends Tensor>(\n      mean: Tensor<R> | Tensor1D | TensorLike,\n      variance: Tensor<R> | Tensor1D | TensorLike,\n      offset?: Tensor<R> | Tensor1D | TensorLike,\n      scale?: Tensor<R> | Tensor1D | TensorLike,\n      varianceEpsilon?: number\n    ): Tensor<R>;\n  }\n}\n\nTensor.prototype.batchNorm = function <R extends Rank>(\n  this: Tensor<R> | TensorLike, mean: Tensor<R> | Tensor1D | TensorLike,\n  variance: Tensor<R> | Tensor1D | TensorLike,\n  offset?: Tensor<R> | Tensor1D | TensorLike,\n  scale?: Tensor<R> | Tensor1D | TensorLike,\n  varianceEpsilon?: number): Tensor<R> {\n  return batchNorm(this, mean, variance, offset, scale, varianceEpsilon);\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * @fileoverview\n * @suppress {partialAlias} Optimization disabled due to passing the module\n * object into a function below:\n *\n *   import * as ops from './ops/ops';\n *   setOpHandler(ops);\n */\n\n// Engine is the global singleton that needs to be initialized before the rest\n// of the app.\nimport './engine';\n// Register backend-agnostic flags.\nimport './flags';\n// backend_cpu.ts and backend_webgl.ts are standalone files and should be\n// explicitly included here.\nimport './backends/webgl/backend_webgl';\nimport './backends/cpu/backend_cpu';\n// Import all kernels from cpu.\nimport './backends/cpu/register_all_kernels';\n// Import all kernels from webgl.\nimport './backends/webgl/register_all_kernels';\n\n// Register all the gradients.\nimport './register_all_gradients';\n\nimport './platforms/platform_browser';\nimport './platforms/platform_node';\n\nimport * as backend_util from './backends/backend_util';\n// Serialization.\nimport * as io from './io/io';\nimport * as math from './math';\nimport * as browser from './ops/browser';\nimport * as gather_util from './ops/gather_nd_util';\nimport * as scatter_util from './ops/scatter_nd_util';\nimport * as slice_util from './ops/slice_util';\nimport * as serialization from './serialization';\nimport {setOpHandler} from './tensor';\nimport * as tensor_util from './tensor_util';\nimport * as test_util from './test_util';\nimport * as util from './util';\nimport {version} from './version';\nimport * as webgl from './webgl';\n\nexport {InferenceModel, MetaGraph, MetaGraphInfo, ModelPredictConfig, ModelTensorInfo, SavedModelTensorInfo, SignatureDef, SignatureDefInfo} from './model_types';\n// Optimizers.\nexport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nexport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nexport {AdamOptimizer} from './optimizers/adam_optimizer';\nexport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nexport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nexport {Optimizer} from './optimizers/optimizer';\nexport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nexport {SGDOptimizer} from './optimizers/sgd_optimizer';\nexport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer, Variable} from './tensor';\nexport {GradSaveFunc, NamedTensorMap, TensorContainer, TensorContainerArray, TensorContainerObject} from './tensor_types';\nexport {DataType, DataTypeMap, DataValues, Rank, RecursiveArray, ShapeMap, sumOutType, TensorLike} from './types';\n\nexport * from './ops/ops';\nexport {LSTMCellFunc} from './ops/lstm';\nexport {Reduction} from './ops/loss_ops';\n\nexport * from './train';\nexport * from './globals';\nexport * from './kernel_names';\nexport * from './kernel_registry';\nexport {customGrad, grad, grads, valueAndGrad, valueAndGrads, variableGrads} from './gradients';\n\nexport {TimingInfo, MemoryInfo} from './engine';\nexport {Environment, env, ENV} from './environment';\nexport {Platform} from './platforms/platform';\n\nexport {version as version_core};\n\n// Top-level method exports.\nexport {nextFrame} from './browser_util';\n\n// Second level exports.\nexport {\n  browser,\n  io,\n  math,\n  serialization,\n  test_util,\n  util,\n  backend_util,\n  webgl,\n  tensor_util,\n  slice_util,\n  gather_util,\n  scatter_util\n};\n\n// Backend specific.\nexport {KernelBackend, BackendTimingInfo, DataMover, DataStorage} from './backends/backend';\n\nimport * as ops from './ops/ops';\nsetOpHandler(ops);\n\n// Import all op chainers and add type info to Tensor.\nimport './public/chained_ops/register_all_chained_ops';\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.2';\nexport 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* @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Platform} from './platforms/platform';\n\n// Expects flags from URL in the format ?tfjsflags=FLAG1:1,FLAG2:true.\nconst TENSORFLOWJS_FLAGS_PREFIX = 'tfjsflags';\n\ntype FlagValue = number|boolean;\nexport type Flags = {\n  [featureName: string]: FlagValue\n};\nexport type FlagRegistryEntry = {\n  evaluationFn: () => FlagValue;\n  setHook?: (value: FlagValue) => void;\n};\n\n/**\n * The environment contains evaluated flags as well as the registered platform.\n * This is always used as a global singleton and can be retrieved with\n * `tf.env()`.\n */\n/** @doc {heading: 'Environment'} */\nexport class Environment {\n  private flags: Flags = {};\n  private flagRegistry: {[flagName: string]: FlagRegistryEntry} = {};\n\n  private urlFlags: Flags = {};\n\n  platformName: string;\n  platform: Platform;\n\n  // tslint:disable-next-line: no-any\n  constructor(public global: any) {\n    this.populateURLFlags();\n  }\n\n  setPlatform(platformName: string, platform: Platform) {\n    if (this.platform != null) {\n      console.warn(\n          `Platform ${this.platformName} has already been set. ` +\n          `Overwriting the platform with ${platform}.`);\n    }\n    this.platformName = platformName;\n    this.platform = platform;\n  }\n\n  registerFlag(\n      flagName: string, evaluationFn: () => FlagValue,\n      setHook?: (value: FlagValue) => void) {\n    this.flagRegistry[flagName] = {evaluationFn, setHook};\n\n    // Override the flag value from the URL. This has to happen here because the\n    // environment is initialized before flags get registered.\n    if (this.urlFlags[flagName] != null) {\n      const flagValue = this.urlFlags[flagName];\n      console.warn(\n          `Setting feature override from URL ${flagName}: ${flagValue}.`);\n      this.set(flagName, flagValue);\n    }\n  }\n\n  get(flagName: string): FlagValue {\n    if (flagName in this.flags) {\n      return this.flags[flagName];\n    }\n\n    this.flags[flagName] = this.evaluateFlag(flagName);\n\n    return this.flags[flagName];\n  }\n\n  getNumber(flagName: string): number {\n    return this.get(flagName) as number;\n  }\n\n  getBool(flagName: string): boolean {\n    return this.get(flagName) as boolean;\n  }\n\n  getFlags(): Flags {\n    return this.flags;\n  }\n  // For backwards compatibility.\n  get features(): Flags {\n    return this.flags;\n  }\n\n  set(flagName: string, value: FlagValue): void {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot set flag ${flagName} as it has not been registered.`);\n    }\n    this.flags[flagName] = value;\n    if (this.flagRegistry[flagName].setHook != null) {\n      this.flagRegistry[flagName].setHook(value);\n    }\n  }\n\n  private evaluateFlag(flagName: string): FlagValue {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot evaluate flag '${flagName}': no evaluation function found.`);\n    }\n    return this.flagRegistry[flagName].evaluationFn();\n  }\n\n  setFlags(flags: Flags) {\n    this.flags = Object.assign({}, flags);\n  }\n\n  reset() {\n    this.flags = {};\n    this.urlFlags = {};\n    this.populateURLFlags();\n  }\n\n  private populateURLFlags(): void {\n    if (typeof this.global === 'undefined' ||\n        typeof this.global.location === 'undefined' ||\n        typeof this.global.location.search === 'undefined') {\n      return;\n    }\n\n    const urlParams = getQueryParams(this.global.location.search);\n    if (TENSORFLOWJS_FLAGS_PREFIX in urlParams) {\n      const keyValues = urlParams[TENSORFLOWJS_FLAGS_PREFIX].split(',');\n      keyValues.forEach(keyValue => {\n        const [key, value] = keyValue.split(':') as [string, string];\n        this.urlFlags[key] = parseValue(key, value);\n      });\n    }\n  }\n}\n\nexport function getQueryParams(queryString: string): {[key: string]: string} {\n  const params = {};\n  queryString.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (s, ...t) => {\n    decodeParam(params, t[0], t[1]);\n    return t.join('=');\n  });\n  return params;\n}\n\nfunction decodeParam(\n    params: {[key: string]: string}, name: string, value?: string) {\n  params[decodeURIComponent(name)] = decodeURIComponent(value || '');\n}\n\nfunction parseValue(flagName: string, value: string): FlagValue {\n  value = value.toLowerCase();\n  if (value === 'true' || value === 'false') {\n    return value === 'true';\n  } else if (`${+ value}` === value) {\n    return +value;\n  }\n  throw new Error(\n      `Could not parse value flag value ${value} for flag ${flagName}.`);\n}\n\n/**\n * Returns the current environment (a global singleton).\n *\n * The environment object contains the evaluated feature values as well as the\n * active platform.\n */\n/** @doc {heading: 'Environment'} */\nexport function env() {\n  return ENV;\n}\n\nexport let ENV: Environment = null;\nexport function setEnvironmentGlobal(environment: Environment) {\n  ENV = environment;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedGradientMap} from './tape';\nimport {Tensor} from './tensor';\nimport {DataType, RecursiveArray} from './types';\n\nconst kernelRegistry: Map<string, KernelConfig> = new Map();\nconst gradRegistry: Map<string, GradConfig> = new Map();\n\nexport type DataId = object;\n\ntype AttributeValue =\n    number|number[]|boolean|boolean[]|string|string[]|NamedAttrMap;\n\n/** These are extra non-tensor/primitive params passed to kernel functions. */\nexport type Attribute = AttributeValue|RecursiveArray<AttributeValue>;\n\n/** Specifies the code to run when executing a kernel. */\nexport type KernelFunc = (params: {\n  inputs: NamedTensorInfoMap,\n  backend: {},\n  attrs?: NamedAttrMap,\n}) => TensorInfo|TensorInfo[];\n\n/** The function to run when computing a gradient during backprop. */\nexport type GradFunc =\n    (dy: Tensor|Tensor[], saved: Tensor[], attrs: NamedAttrMap) =>\n        NamedGradientMap;\n\n/** Function that gets called after the backend initializes. */\nexport type KernelSetupFunc = (backend: {}) => void;\n/** Function that gets called right before the backend is disposed. */\nexport type KernelDisposeFunc = KernelSetupFunc;\n\n/** Config object for registering a kernel in the global registry. */\nexport interface KernelConfig {\n  kernelName: string;\n  backendName: string;\n  kernelFunc: KernelFunc;\n  setupFunc?: KernelSetupFunc;\n  disposeFunc?: KernelDisposeFunc;\n}\n\n/** Config object for registering a gradient in the global registry. */\nexport interface GradConfig {\n  kernelName: string;\n  inputsToSave?: string[];\n  // When saveAllInputs is true, all inputs will be saved. Only use this flag\n  // if inputs is an array of Tensors.\n  saveAllInputs?: boolean;\n  outputsToSave?: boolean[];\n  gradFunc: GradFunc;\n}\n\n/** Holds metadata for a given tensor. */\nexport interface TensorInfo {\n  dataId: DataId;\n  shape: number[];\n  dtype: DataType;\n}\n\nexport interface NamedTensorInfoMap {\n  [name: string]: TensorInfo;\n}\n\nexport interface NamedAttrMap {\n  [name: string]: Attribute;\n}\n\n/**\n * Returns the kernel function (code) associated with the provided names.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n */\nexport function getKernel(\n    kernelName: string, backendName: string): KernelConfig {\n  const key = makeKey(kernelName, backendName);\n  return kernelRegistry.get(key);\n}\n\n/**\n * Returns the registered gradient info associated with the provided kernel.\n * @param kernelName The official TF kernel name.\n */\nexport function getGradient(kernelName: string): GradConfig {\n  return gradRegistry.get(kernelName);\n}\n\nexport function getKernelsForBackend(backendName: string): KernelConfig[] {\n  const it = kernelRegistry.entries();\n  const result: KernelConfig[] = [];\n\n  while (true) {\n    const {done, value} = it.next();\n    if (done) {\n      break;\n    }\n    const [key, config] = value;\n    const [backend, ] = key.split('_');\n    if (backend === backendName) {\n      result.push(config);\n    }\n  }\n  return result;\n}\n\n/**\n * Registers the function (forward pass) for the kernel in a global registry.\n *\n * @param config A config object with the following properties:\n * - `kernelName` The official name of the kernel.\n * - `backendName` The official name of the backend.\n * - `kernelFunc` The function to run during the forward pass of the kernel.\n * - `setupFunc` Optional. Gets called once, after the backend initializes.\n * - `disposeFunc` Optional. Gets called once, right before the backend is\n * disposed.\n */\nexport function registerKernel(config: KernelConfig) {\n  const {kernelName, backendName} = config;\n  const key = makeKey(kernelName, backendName);\n  if (kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is already registered`);\n  }\n  kernelRegistry.set(key, config);\n}\n\n/**\n * Registers a gradient function for a given kernel in the global registry,\n * to be used during the back-propagation of that kernel.\n *\n * @param config An object with the following properties:\n * - `kernelName` The name of the kernel that the gradient function is for.\n * - `gradFunc` The function to run during back-propagation.\n */\nexport function registerGradient(config: GradConfig) {\n  const {kernelName} = config;\n  if (gradRegistry.has(kernelName)) {\n    console.warn(`Overriding the gradient for '${kernelName}'`);\n  }\n  gradRegistry.set(kernelName, config);\n}\n\n/**\n * Removes the kernel function from the registry.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n *\n */\nexport function unregisterKernel(\n    kernelName: string, backendName: string): void {\n  const key = makeKey(kernelName, backendName);\n  if (!kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is not registered`);\n  }\n  kernelRegistry.delete(key);\n}\n\n/** Removes the registered gradient from the global registry. */\nexport function unregisterGradient(kernelName: string): void {\n  if (!gradRegistry.has(kernelName)) {\n    throw new Error(\n        `The gradient '${kernelName}' for backend is not registered`);\n  }\n  gradRegistry.delete(kernelName);\n}\n\nfunction makeKey(kernelName: string, backendName: string) {\n  return `${backendName}_${kernelName}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nimport {DataType, DataTypeMap, FlatVector, NumericDataType, RecursiveArray, TensorLike, TypedArray} from './types';\n\n/**\n * Shuffles the array in-place using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1, 2, 3, 4, 5];\n * tf.util.shuffle(a);\n * console.log(a);\n * ```\n *\n * @param array The array to shuffle in-place.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\n// tslint:disable-next-line:no-any\nexport function shuffle(array: any[]|Uint32Array|Int32Array|\n                        Float32Array): void {\n  let counter = array.length;\n  let temp = 0;\n  let index = 0;\n  // While there are elements in the array\n  while (counter > 0) {\n    // Pick a random index\n    index = (Math.random() * counter) | 0;\n    // Decrease counter by 1\n    counter--;\n    // And swap the last element with it\n    temp = array[counter];\n    array[counter] = array[index];\n    array[index] = temp;\n  }\n}\n\n/** Clamps a value to a specified range. */\nexport function clamp(min: number, x: number, max: number): number {\n  return Math.max(min, Math.min(x, max));\n}\n\nexport function nearestLargerEven(val: number): number {\n  return val % 2 === 0 ? val : val + 1;\n}\n\nexport function sum(arr: number[]): number {\n  let sum = 0;\n  for (let i = 0; i < arr.length; i++) {\n    sum += arr[i];\n  }\n  return sum;\n}\n\n/**\n * Returns a sample from a uniform [a, b) distribution.\n *\n * @param a The minimum support (inclusive).\n * @param b The maximum support (exclusive).\n * @return A pseudorandom number on the half-open interval [a,b).\n */\nexport function randUniform(a: number, b: number) {\n  const r = Math.random();\n  return (b * r) + (1 - r) * a;\n}\n\n/** Returns the squared Euclidean distance between two vectors. */\nexport function distSquared(a: FlatVector, b: FlatVector): number {\n  let result = 0;\n  for (let i = 0; i < a.length; i++) {\n    const diff = Number(a[i]) - Number(b[i]);\n    result += diff * diff;\n  }\n  return result;\n}\n\n/**\n * Asserts that the expression is true. Otherwise throws an error with the\n * provided message.\n *\n * ```js\n * const x = 2;\n * tf.util.assert(x === 2, 'x is not 2');\n * ```\n *\n * @param expr The expression to assert (as a boolean).\n * @param msg A function that returns the message to report when throwing an\n *     error. We use a function for performance reasons.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function assert(expr: boolean, msg: () => string) {\n  if (!expr) {\n    throw new Error(typeof msg === 'string' ? msg : msg());\n  }\n}\n\nexport function assertShapesMatch(\n    shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n  assert(\n      arraysEqual(shapeA, shapeB),\n      () => errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n}\n\nexport function assertNonNull(a: TensorLike): void {\n  assert(\n      a != null,\n      () => `The input to the tensor constructor must be a non-null value.`);\n}\n\n// NOTE: We explicitly type out what T extends instead of any so that\n// util.flatten on a nested array of number doesn't try to infer T as a\n// number[][], causing us to explicitly type util.flatten<number>().\n/**\n *  Flattens an arbitrarily nested array.\n *\n * ```js\n * const a = [[1, 2], [3, 4], [5, [6, [7]]]];\n * const flat = tf.util.flatten(a);\n * console.log(flat);\n * ```\n *\n *  @param arr The nested array to flatten.\n *  @param result The destination array which holds the elements.\n *  @param skipTypedArray If true, avoids flattening the typed arrays. Defaults\n *      to false.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function\nflatten<T extends number|boolean|string|Promise<number>|TypedArray>(\n    arr: T|RecursiveArray<T>, result: T[] = [], skipTypedArray = false): T[] {\n  if (result == null) {\n    result = [];\n  }\n  if (Array.isArray(arr) || isTypedArray(arr) && !skipTypedArray) {\n    for (let i = 0; i < arr.length; ++i) {\n      flatten(arr[i], result, skipTypedArray);\n    }\n  } else {\n    result.push(arr as T);\n  }\n  return result;\n}\n\n/**\n * Returns the size (number of elements) of the tensor given its shape.\n *\n * ```js\n * const shape = [3, 4, 2];\n * const size = tf.util.sizeFromShape(shape);\n * console.log(size);\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function sizeFromShape(shape: number[]): number {\n  if (shape.length === 0) {\n    // Scalar.\n    return 1;\n  }\n  let size = shape[0];\n  for (let i = 1; i < shape.length; i++) {\n    size *= shape[i];\n  }\n  return size;\n}\n\nexport function isScalarShape(shape: number[]): boolean {\n  return shape.length === 0;\n}\n\nexport function arraysEqual(n1: FlatVector, n2: FlatVector) {\n  if (n1 === n2) {\n    return true;\n  }\n  if (n1 == null || n2 == null) {\n    return false;\n  }\n\n  if (n1.length !== n2.length) {\n    return false;\n  }\n  for (let i = 0; i < n1.length; i++) {\n    if (n1[i] !== n2[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function isInt(a: number): boolean {\n  return a % 1 === 0;\n}\n\nexport function tanh(x: number): number {\n  // tslint:disable-next-line:no-any\n  if ((Math as any).tanh != null) {\n    // tslint:disable-next-line:no-any\n    return (Math as any).tanh(x);\n  }\n  if (x === Infinity) {\n    return 1;\n  } else if (x === -Infinity) {\n    return -1;\n  } else {\n    const e2x = Math.exp(2 * x);\n    return (e2x - 1) / (e2x + 1);\n  }\n}\n\nexport function sizeToSquarishShape(size: number): [number, number] {\n  const width = Math.ceil(Math.sqrt(size));\n  return [width, Math.ceil(size / width)];\n}\n\n/**\n * Creates a new array with randomized indicies to a given quantity.\n *\n * ```js\n * const randomTen = tf.util.createShuffledIndices(10);\n * console.log(randomTen);\n * ```\n *\n * @param number Quantity of how many shuffled indicies to create.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function createShuffledIndices(n: number): Uint32Array {\n  const shuffledIndices = new Uint32Array(n);\n  for (let i = 0; i < n; ++i) {\n    shuffledIndices[i] = i;\n  }\n  shuffle(shuffledIndices);\n  return shuffledIndices;\n}\n\nexport function rightPad(a: string, size: number): string {\n  if (size <= a.length) {\n    return a;\n  }\n  return a + ' '.repeat(size - a.length);\n}\n\nexport function repeatedTry(\n    checkFn: () => boolean, delayFn = (counter: number) => 0,\n    maxCounter?: number): Promise<void> {\n  return new Promise<void>((resolve, reject) => {\n    let tryCount = 0;\n\n    const tryFn = () => {\n      if (checkFn()) {\n        resolve();\n        return;\n      }\n\n      tryCount++;\n\n      const nextBackoff = delayFn(tryCount);\n\n      if (maxCounter != null && tryCount >= maxCounter) {\n        reject();\n        return;\n      }\n      setTimeout(tryFn, nextBackoff);\n    };\n\n    tryFn();\n  });\n}\n\n/**\n * Given the full size of the array and a shape that may contain -1 as the\n * implicit dimension, returns the inferred shape where -1 is replaced.\n * E.g. For shape=[2, -1, 3] and size=24, it will return [2, 4, 3].\n *\n * @param shape The shape, which may contain -1 in some dimension.\n * @param size The full size (number of elements) of the array.\n * @return The inferred shape where -1 is replaced with the inferred size.\n */\nexport function inferFromImplicitShape(\n    shape: number[], size: number): number[] {\n  let shapeProd = 1;\n  let implicitIdx = -1;\n\n  for (let i = 0; i < shape.length; ++i) {\n    if (shape[i] >= 0) {\n      shapeProd *= shape[i];\n    } else if (shape[i] === -1) {\n      if (implicitIdx !== -1) {\n        throw Error(\n            `Shapes can only have 1 implicit size. ` +\n            `Found -1 at dim ${implicitIdx} and dim ${i}`);\n      }\n      implicitIdx = i;\n    } else if (shape[i] < 0) {\n      throw Error(`Shapes can not be < 0. Found ${shape[i]} at dim ${i}`);\n    }\n  }\n\n  if (implicitIdx === -1) {\n    if (size > 0 && size !== shapeProd) {\n      throw Error(`Size(${size}) must match the product of shape ${shape}`);\n    }\n    return shape;\n  }\n\n  if (shapeProd === 0) {\n    throw Error(\n        `Cannot infer the missing size in [${shape}] when ` +\n        `there are 0 elements`);\n  }\n  if (size % shapeProd !== 0) {\n    throw Error(\n        `The implicit shape can't be a fractional number. ` +\n        `Got ${size} / ${shapeProd}`);\n  }\n\n  const newShape = shape.slice();\n  newShape[implicitIdx] = size / shapeProd;\n  return newShape;\n}\n\nexport function parseAxisParam(\n    axis: number|number[], shape: number[]): number[] {\n  const rank = shape.length;\n\n  // Normalize input\n  axis = axis == null ? shape.map((s, i) => i) : [].concat(axis);\n\n  // Check for valid range\n  assert(\n      axis.every(ax => ax >= -rank && ax < rank),\n      () =>\n          `All values in axis param must be in range [-${rank}, ${rank}) but ` +\n          `got axis ${axis}`);\n\n  // Check for only integers\n  assert(\n      axis.every(ax => isInt(ax)),\n      () => `All values in axis param must be integers but ` +\n          `got axis ${axis}`);\n\n  // Handle negative axis.\n  return axis.map(a => a < 0 ? rank + a : a);\n}\n\n/** Reduces the shape by removing all dimensions of shape 1. */\nexport function squeezeShape(shape: number[], axis?: number[]):\n    {newShape: number[], keptDims: number[]} {\n  const newShape: number[] = [];\n  const keptDims: number[] = [];\n  const isEmptyArray = axis != null && Array.isArray(axis) && axis.length === 0;\n  const axes = (axis == null || isEmptyArray) ?\n      null :\n      parseAxisParam(axis, shape).sort();\n  let j = 0;\n  for (let i = 0; i < shape.length; ++i) {\n    if (axes != null) {\n      if (axes[j] === i && shape[i] !== 1) {\n        throw new Error(\n            `Can't squeeze axis ${i} since its dim '${shape[i]}' is not 1`);\n      }\n      if ((axes[j] == null || axes[j] > i) && shape[i] === 1) {\n        newShape.push(shape[i]);\n        keptDims.push(i);\n      }\n      if (axes[j] <= i) {\n        j++;\n      }\n    }\n    if (shape[i] !== 1) {\n      newShape.push(shape[i]);\n      keptDims.push(i);\n    }\n  }\n  return {newShape, keptDims};\n}\n\nexport function getTypedArrayFromDType<D extends NumericDataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function getArrayFromDType<D extends DataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else if (dtype === 'string') {\n    values = new Array<'string'>(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function checkConversionForErrors<D extends DataType>(\n    vals: DataTypeMap[D]|number[], dtype: D): void {\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      throw Error(`A tensor of type ${dtype} being uploaded contains ${num}.`);\n    }\n  }\n}\n\n/** Returns true if the dtype is valid. */\nexport function isValidDtype(dtype: DataType): boolean {\n  return dtype === 'bool' || dtype === 'complex64' || dtype === 'float32' ||\n      dtype === 'int32' || dtype === 'string';\n}\n\n/**\n * Returns true if the new type can't encode the old type without loss of\n * precision.\n */\nexport function hasEncodingLoss(oldType: DataType, newType: DataType): boolean {\n  if (newType === 'complex64') {\n    return false;\n  }\n  if (newType === 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'int32' && oldType !== 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'bool' && oldType === 'bool') {\n    return false;\n  }\n  return true;\n}\n\nexport function isTypedArray(a: {}): a is Float32Array|Int32Array|Uint8Array {\n  return a instanceof Float32Array || a instanceof Int32Array ||\n      a instanceof Uint8Array;\n}\n\nexport function bytesPerElement(dtype: DataType): number {\n  if (dtype === 'float32' || dtype === 'int32') {\n    return 4;\n  } else if (dtype === 'complex64') {\n    return 8;\n  } else if (dtype === 'bool') {\n    return 1;\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n\n/**\n * Returns the approximate number of bytes allocated in the string array - 2\n * bytes per character. Computing the exact bytes for a native string in JS is\n * not possible since it depends on the encoding of the html page that serves\n * the website.\n */\nexport function bytesFromStringArray(arr: Uint8Array[]): number {\n  if (arr == null) {\n    return 0;\n  }\n  let bytes = 0;\n  arr.forEach(x => bytes += x.length);\n  return bytes;\n}\n\n/** Returns true if the value is a string. */\nexport function isString(value: {}): value is string {\n  return typeof value === 'string' || value instanceof String;\n}\n\nexport function isBoolean(value: {}): boolean {\n  return typeof value === 'boolean';\n}\n\nexport function isNumber(value: {}): boolean {\n  return typeof value === 'number';\n}\n\nexport function inferDtype(values: TensorLike): DataType {\n  if (Array.isArray(values)) {\n    return inferDtype(values[0]);\n  }\n  if (values instanceof Float32Array) {\n    return 'float32';\n  } else if (values instanceof Int32Array || values instanceof Uint8Array) {\n    return 'int32';\n  } else if (isNumber(values)) {\n    return 'float32';\n  } else if (isString(values)) {\n    return 'string';\n  } else if (isBoolean(values)) {\n    return 'bool';\n  }\n  return 'float32';\n}\n\nexport function isFunction(f: Function) {\n  return !!(f && f.constructor && f.call && f.apply);\n}\n\nexport function nearestDivisor(size: number, start: number): number {\n  for (let i = start; i < size; ++i) {\n    if (size % i === 0) {\n      return i;\n    }\n  }\n  return size;\n}\n\nexport function computeStrides(shape: number[]): number[] {\n  const rank = shape.length;\n  if (rank < 2) {\n    return [];\n  }\n\n  // Last dimension has implicit stride of 1, thus having D-1 (instead of D)\n  // strides.\n  const strides = new Array(rank - 1);\n  strides[rank - 2] = shape[rank - 1];\n  for (let i = rank - 3; i >= 0; --i) {\n    strides[i] = strides[i + 1] * shape[i + 1];\n  }\n  return strides;\n}\n\nexport function toTypedArray(\n    a: TensorLike, dtype: DataType, debugMode: boolean): TypedArray {\n  if (dtype === 'string') {\n    throw new Error('Cannot convert a string[] to a TypedArray');\n  }\n  if (Array.isArray(a)) {\n    a = flatten(a);\n  }\n  if (debugMode) {\n    checkConversionForErrors(a as number[], dtype);\n  }\n  if (noConversionNeeded(a, dtype)) {\n    return a as TypedArray;\n  }\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(a as number[]);\n  } else if (dtype === 'int32') {\n    return new Int32Array(a as number[]);\n  } else if (dtype === 'bool') {\n    const bool = new Uint8Array((a as number[]).length);\n    for (let i = 0; i < bool.length; ++i) {\n      if (Math.round((a as number[])[i]) !== 0) {\n        bool[i] = 1;\n      }\n    }\n    return bool;\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\nfunction createNestedArray(offset: number, shape: number[], a: TypedArray) {\n  const ret = new Array();\n  if (shape.length === 1) {\n    const d = shape[0];\n    for (let i = 0; i < d; i++) {\n      ret[i] = a[offset + i];\n    }\n  } else {\n    const d = shape[0];\n    const rest = shape.slice(1);\n    const len = rest.reduce((acc, c) => acc * c);\n    for (let i = 0; i < d; i++) {\n      ret[i] = createNestedArray(offset + i * len, rest, a);\n    }\n  }\n  return ret;\n}\n\n// Provide a nested array of TypedArray in given shape.\nexport function toNestedArray(shape: number[], a: TypedArray) {\n  if (shape.length === 0) {\n    // Scalar type should return a single number.\n    return a[0];\n  }\n  const size = shape.reduce((acc, c) => acc * c);\n  if (size === 0) {\n    // A tensor with shape zero should be turned into empty list.\n    return [];\n  }\n  if (size !== a.length) {\n    throw new Error(`[${shape}] does not match the input size.`);\n  }\n\n  return createNestedArray(0, shape, a);\n}\n\nfunction noConversionNeeded(a: TensorLike, dtype: DataType): boolean {\n  return (a instanceof Float32Array && dtype === 'float32') ||\n      (a instanceof Int32Array && dtype === 'int32') ||\n      (a instanceof Uint8Array && dtype === 'bool');\n}\n\nexport function makeOnesTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  const array = makeZerosTypedArray(size, dtype);\n  for (let i = 0; i < array.length; i++) {\n    array[i] = 1;\n  }\n  return array;\n}\n\nexport function makeZerosTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'int32') {\n    return new Int32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'bool') {\n    return new Uint8Array(size) as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\n/**\n * Returns the current high-resolution time in milliseconds relative to an\n * arbitrary time in the past. It works across different platforms (node.js,\n * browsers).\n *\n * ```js\n * console.log(tf.util.now());\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function now(): number {\n  return env().platform.now();\n}\n\nexport function assertNonNegativeIntegerDimensions(shape: number[]) {\n  shape.forEach(dimSize => {\n    assert(\n        Number.isInteger(dimSize) && dimSize >= 0,\n        () =>\n            `Tensor must have a shape comprised of positive integers but got ` +\n            `shape [${shape}].`);\n  });\n}\n\n/**\n * Returns a platform-specific implementation of\n * [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n *\n * If `fetch` is defined on the global object (`window`, `process`, etc.),\n * `tf.util.fetch` returns that function.\n *\n * If not, `tf.util.fetch` returns a platform-specific solution.\n *\n * ```js\n * const resource = await tf.util.fetch('https://unpkg.com/@tensorflow/tfjs');\n * // handle response\n * ```\n */\n/** @doc {heading: 'Util'} */\nexport function fetch(\n    path: string, requestInits?: RequestInit): Promise<Response> {\n  return env().platform.fetch(path, requestInits);\n}\n\n/**\n * Encodes the provided string into bytes using the provided encoding scheme.\n *\n * @param s The string to encode.\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n */\n/** @doc {heading: 'Util'} */\nexport function encodeString(s: string, encoding = 'utf-8'): Uint8Array {\n  encoding = encoding || 'utf-8';\n  return env().platform.encode(s, encoding);\n}\n\n/**\n * Decodes the provided bytes into a string using the provided encoding scheme.\n * @param bytes The bytes to decode.\n *\n * @param encoding The encoding scheme. Defaults to utf-8.\n */\n/** @doc {heading: 'Util'} */\nexport function decodeString(bytes: Uint8Array, encoding = 'utf-8'): string {\n  encoding = encoding || 'utf-8';\n  return env().platform.decode(bytes, encoding);\n}\n\n/**\n * Computes flat index for a given location (multidimentionsal index) in a\n * Tensor/multidimensional array.\n *\n * @param locs Location in the tensor.\n * @param rank Rank of the tensor.\n * @param strides Tensor strides.\n */\nexport function locToIndex(\n    locs: number[], rank: number, strides: number[]): number {\n  if (rank === 0) {\n    return 0;\n  } else if (rank === 1) {\n    return locs[0];\n  }\n  let index = locs[locs.length - 1];\n  for (let i = 0; i < locs.length - 1; ++i) {\n    index += strides[i] * locs[i];\n  }\n  return index;\n}\n\n/**\n * Computes the location (multidimensional index) in a tensor/multidimentional\n * array for a given flat index.\n *\n * @param index Index in flat array.\n * @param rank Rank of tensor.\n * @param strides Strides of tensor.\n */\nexport function indexToLoc(\n    index: number, rank: number, strides: number[]): number[] {\n  if (rank === 0) {\n    return [];\n  } else if (rank === 1) {\n    return [index];\n  }\n  const locs: number[] = new Array(rank);\n  for (let i = 0; i < locs.length - 1; ++i) {\n    locs[i] = Math.floor(index / strides[i]);\n    index -= locs[i] * strides[i];\n  }\n  locs[locs.length - 1] = index;\n  return locs;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimer} from './backends/backend';\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {DataType, DataTypeMap, TypedArray} from './types';\nimport * as util from './util';\n\nexport class Profiler {\n  constructor(private backendTimer: BackendTimer, private logger?: Logger) {\n    if (logger == null) {\n      this.logger = new Logger();\n    }\n  }\n\n  profileKernel(kernelName: string, inputs: NamedTensorMap, f: () => Tensor[]):\n      Tensor[] {\n    let outputs: Tensor[];\n    const holdResultWrapperFn = () => {\n      outputs = f();\n    };\n    const timer = this.backendTimer.time(holdResultWrapperFn);\n\n    outputs.forEach(r => {\n      // Dangling promise here because we don't want to propagate up\n      // asynchronicity.\n      r.data().then(vals => {\n        checkComputationForErrors(vals, r.dtype, kernelName);\n\n        timer.then(timing => {\n          let extraInfo = '';\n          if (timing.getExtraProfileInfo != null) {\n            extraInfo = timing.getExtraProfileInfo();\n          }\n\n          this.logger.logKernelProfile(\n              kernelName, r, vals, timing.kernelMs, inputs, extraInfo);\n        });\n      });\n    });\n\n    return outputs;\n  }\n}\n\nexport function checkComputationForErrors<D extends DataType>(\n    vals: DataTypeMap[D], dtype: D, kernelName: string): boolean {\n  if (dtype !== 'float32') {\n    // Only floating point computations will generate NaN values\n    return false;\n  }\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      // Throwing custom exception so behavior is testable.\n      console.warn(`Found ${num} in the result of '${kernelName}'`);\n      return true;\n    }\n  }\n  return false;\n}\n\nexport class Logger {\n  logKernelProfile(\n      name: string, result: Tensor, vals: TypedArray,\n      timeMs: number|{error: string}, inputs: NamedTensorMap,\n      extraInfo?: string) {\n    const time = typeof timeMs === 'number' ? util.rightPad(`${timeMs}ms`, 9) :\n                                              timeMs['error'];\n    const paddedName = util.rightPad(name, 25);\n    const rank = result.rank;\n    const size = result.size;\n    const shape = util.rightPad(result.shape.toString(), 14);\n    let inputShapesDescription = '';\n\n    for (const name in inputs) {\n      const input = inputs[name];\n      // The input might be a non-tensor (e.g HTMLImageElement), in which case\n      // we claim the output shape as input shape.\n      const inputShape = input.shape || result.shape;\n      const inputRank = inputShape.length;\n      inputShapesDescription +=\n          `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;\n    }\n\n    console.log(\n        `%c${paddedName}\\t%c${time}\\t%c${rank}D ${shape}\\t%c${size}\\t%c${\n            inputShapesDescription}\\t%c${extraInfo}`,\n        'font-weight:bold', 'color:red', 'color:blue', 'color: orange',\n        'color: green', 'color: steelblue');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, TypedArray} from './types';\nimport {computeStrides, isString, rightPad, sizeFromShape} from './util';\n\n// Maximum number of values before we decide to show ellipsis.\nconst FORMAT_LIMIT_NUM_VALS = 20;\n// Number of first and last values to show when displaying a, b,...,y, z.\nconst FORMAT_NUM_FIRST_LAST_VALS = 3;\n// Number of significant digits to show.\nconst FORMAT_NUM_SIG_DIGITS = 7;\n\nexport function tensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    verbose: boolean) {\n  const strides = computeStrides(shape);\n  const padPerCol = computeMaxSizePerColumn(vals, shape, dtype, strides);\n  const rank = shape.length;\n  const valsLines = subTensorToString(vals, shape, dtype, strides, padPerCol);\n  const lines = ['Tensor'];\n  if (verbose) {\n    lines.push(`  dtype: ${dtype}`);\n    lines.push(`  rank: ${rank}`);\n    lines.push(`  shape: [${shape}]`);\n    lines.push(`  values:`);\n  }\n  lines.push(valsLines.map(l => '    ' + l).join('\\n'));\n  return lines.join('\\n');\n}\n\nfunction computeMaxSizePerColumn(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[]): number[] {\n  const n = sizeFromShape(shape);\n  const numCols = strides[strides.length - 1];\n  const padPerCol = new Array(numCols).fill(0);\n  const rank = shape.length;\n  const valuesOrTuples =\n      dtype === 'complex64' ? createComplexTuples(vals) : vals;\n\n  if (rank > 1) {\n    for (let row = 0; row < n / numCols; row++) {\n      const offset = row * numCols;\n      for (let j = 0; j < numCols; j++) {\n        padPerCol[j] = Math.max(\n            padPerCol[j],\n            valToString(valuesOrTuples[offset + j], 0, dtype).length);\n      }\n    }\n  }\n  return padPerCol;\n}\n\nfunction valToString(\n    val: number|string|[number, number], pad: number, dtype: DataType) {\n  let valStr: string;\n  if (Array.isArray(val)) {\n    valStr = `${parseFloat(val[0].toFixed(FORMAT_NUM_SIG_DIGITS))} + ` +\n        `${parseFloat(val[1].toFixed(FORMAT_NUM_SIG_DIGITS))}j`;\n  } else if (isString(val)) {\n    valStr = `'${val}'`;\n  } else if (dtype === 'bool') {\n    valStr = boolNumToString(val);\n  } else {\n    valStr = parseFloat(val.toFixed(FORMAT_NUM_SIG_DIGITS)).toString();\n  }\n\n  return rightPad(valStr, pad);\n}\n\nfunction boolNumToString(v: number): string {\n  return v === 0 ? 'false' : 'true';\n}\n\nfunction subTensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[], padPerCol: number[], isLast = true): string[] {\n  const storagePerElement = dtype === 'complex64' ? 2 : 1;\n\n  const size = shape[0];\n  const rank = shape.length;\n  if (rank === 0) {\n    if (dtype === 'complex64') {\n      const complexTuple = createComplexTuples(vals);\n      return [valToString(complexTuple[0], 0, dtype)];\n    }\n    if (dtype === 'bool') {\n      return [boolNumToString(vals[0] as number)];\n    }\n    return [vals[0].toString()];\n  }\n\n  if (rank === 1) {\n    if (size > FORMAT_LIMIT_NUM_VALS) {\n      const firstValsSize = FORMAT_NUM_FIRST_LAST_VALS * storagePerElement;\n\n      let firstVals = Array.from<number|string|[number, number]>(\n          vals.slice(0, firstValsSize));\n      let lastVals = Array.from<number|string|[number, number]>(vals.slice(\n          (size - FORMAT_NUM_FIRST_LAST_VALS) * storagePerElement,\n          size * storagePerElement));\n      if (dtype === 'complex64') {\n        firstVals = createComplexTuples(firstVals);\n        lastVals = createComplexTuples(lastVals);\n      }\n      return [\n        '[' +\n        firstVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n            .join(', ') +\n        ', ..., ' +\n        lastVals\n            .map(\n                (x, i) => valToString(\n                    x, padPerCol[size - FORMAT_NUM_FIRST_LAST_VALS + i], dtype))\n            .join(', ') +\n        ']'\n      ];\n    }\n    const displayVals: Array<number|string|[number, number]> =\n        dtype === 'complex64' ? createComplexTuples(vals) :\n                                Array.from<number|string>(vals);\n\n    return [\n      '[' +\n      displayVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n          .join(', ') +\n      ']'\n    ];\n  }\n\n  // The array is rank 2 or more.\n  const subshape = shape.slice(1);\n  const substrides = strides.slice(1);\n  const stride = strides[0] * storagePerElement;\n  const lines: string[] = [];\n  if (size > FORMAT_LIMIT_NUM_VALS) {\n    for (let i = 0; i < FORMAT_NUM_FIRST_LAST_VALS; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          false /* isLast */));\n    }\n    lines.push('...');\n    for (let i = size - FORMAT_NUM_FIRST_LAST_VALS; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  } else {\n    for (let i = 0; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  }\n  const sep = rank === 2 ? ',' : '';\n  lines[0] = '[' + lines[0] + sep;\n  for (let i = 1; i < lines.length - 1; i++) {\n    lines[i] = ' ' + lines[i] + sep;\n  }\n  let newLineSep = ',\\n';\n  for (let i = 2; i < rank; i++) {\n    newLineSep += '\\n';\n  }\n  lines[lines.length - 1] =\n      ' ' + lines[lines.length - 1] + ']' + (isLast ? '' : newLineSep);\n  return lines;\n}\n\nfunction createComplexTuples(vals: Array<{}>|\n                             TypedArray): Array<[number, number]> {\n  const complexTuples: Array<[number, number]> = [];\n  for (let i = 0; i < vals.length; i += 2) {\n    complexTuples.push([vals[i], vals[i + 1]] as [number, number]);\n  }\n  return complexTuples;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensorToString} from './tensor_format';\nimport {ArrayMap, BackendValues, DataType, DataTypeMap, DataValues, NumericDataType, Rank, ShapeMap, SingleValueMap, TensorLike, TensorLike1D, TensorLike3D, TensorLike4D, TypedArray} from './types';\nimport * as util from './util';\nimport {computeStrides, toNestedArray} from './util';\n\nexport interface TensorData<D extends DataType> {\n  dataId?: DataId;\n  values?: DataTypeMap[D];\n}\n\n// This interface mimics KernelBackend (in backend.ts), which would create a\n// circular dependency if imported.\nexport interface Backend {}\n\n/**\n * A mutable object, similar to `tf.Tensor`, that allows users to set values\n * at locations before converting to an immutable `tf.Tensor`.\n *\n * See `tf.buffer` for creating a tensor buffer.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class TensorBuffer<R extends Rank, D extends DataType = 'float32'> {\n  size: number;\n  shape: ShapeMap[R];\n  strides: number[];\n  values: DataTypeMap[D];\n\n  constructor(shape: ShapeMap[R], public dtype: D, values?: DataTypeMap[D]) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.size = util.sizeFromShape(shape);\n\n    if (values != null) {\n      const n = values.length;\n      util.assert(\n          n === this.size,\n          () => `Length of values '${n}' does not match the size ` +\n              `inferred by the shape '${this.size}'.`);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `complex64 dtype TensorBuffers are not supported. Please create ` +\n          `a TensorBuffer for the real and imaginary parts separately and ` +\n          `call tf.complex(real, imag).`);\n    }\n    this.values = values || util.getArrayFromDType(dtype, this.size);\n    this.strides = computeStrides(shape);\n  }\n\n  /**\n   * Sets a value in the buffer at a given location.\n   *\n   * @param value The value to set.\n   * @param locs  The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  set(value: SingleValueMap[D], ...locs: number[]): void {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    util.assert(\n        locs.length === this.rank,\n        () => `The number of provided coordinates (${locs.length}) must ` +\n            `match the rank (${this.rank})`);\n\n    const index = this.locToIndex(locs);\n    this.values[index] = value as number;\n  }\n\n  /**\n   * Returns the value in the buffer at the provided location.\n   *\n   * @param locs The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  get(...locs: number[]): SingleValueMap[D] {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    let i = 0;\n    for (const loc of locs) {\n      if (loc < 0 || loc >= this.shape[i]) {\n        const msg = `Requested out of range element at ${locs}. ` +\n            `  Buffer shape=${this.shape}`;\n        throw new Error(msg);\n      }\n      i++;\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return this.values[index] as SingleValueMap[D];\n  }\n\n  locToIndex(locs: number[]): number {\n    if (this.rank === 0) {\n      return 0;\n    } else if (this.rank === 1) {\n      return locs[0];\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return index;\n  }\n\n  indexToLoc(index: number): number[] {\n    if (this.rank === 0) {\n      return [];\n    } else if (this.rank === 1) {\n      return [index];\n    }\n    const locs: number[] = new Array(this.shape.length);\n    for (let i = 0; i < locs.length - 1; ++i) {\n      locs[i] = Math.floor(index / this.strides[i]);\n      index -= locs[i] * this.strides[i];\n    }\n    locs[locs.length - 1] = index;\n    return locs;\n  }\n\n  get rank() {\n    return this.shape.length;\n  }\n\n  /**\n   * Creates an immutable `tf.Tensor` object from the buffer.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  toTensor(): Tensor<R> {\n    return trackerFn().makeTensor(this.values, this.shape, this.dtype) as\n        Tensor<R>;\n  }\n}\n\nexport interface TensorTracker {\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: Backend): Tensor;\n  makeVariable(\n      initialValue: Tensor, trainable?: boolean, name?: string,\n      dtype?: DataType): Variable;\n  incRef(a: Tensor, backend: Backend): void;\n  disposeTensor(t: Tensor): void;\n  disposeVariable(v: Variable): void;\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n}\n\n/**\n * The Tensor class calls into this handler to delegate chaining operations.\n */\nexport interface OpHandler {\n  cast<T extends Tensor>(x: T, dtype: DataType): T;\n  buffer<R extends Rank, D extends DataType>(\n      shape: ShapeMap[R], dtype: D,\n      values?: DataTypeMap[D]): TensorBuffer<R, D>;\n  print<T extends Tensor>(x: T, verbose: boolean): void;\n  reshape<R2 extends Rank>(x: Tensor, shape: ShapeMap[R2]): Tensor<R2>;\n  expandDims<R2 extends Rank>(x: Tensor, axis: number): Tensor<R2>;\n  cumsum<T extends Tensor>(\n      x: Tensor, axis: number, exclusive: boolean, reverse: boolean): T;\n  squeeze<T extends Tensor>(x: Tensor, axis?: number[]): T;\n  clone<T extends Tensor>(x: T): T;\n  gather<T extends Tensor>(x: T, indices: Tensor|TensorLike, axis: number): T;\n  matMul<T extends Tensor>(\n      a: T, b: T|TensorLike, transposeA: boolean, transposeB: boolean): T;\n  dot(t1: Tensor, t2: Tensor|TensorLike): Tensor;\n  norm(\n      x: Tensor, ord: number|'euclidean'|'fro', axis: number|number[],\n      keepDims: boolean): Tensor;\n  slice<R extends Rank, T extends Tensor<R>>(\n      x: T, begin: number|number[], size?: number|number[]): T;\n  split<T extends Tensor>(\n      x: T, numOrSizeSplits: number[]|number, axis?: number): T[];\n  reverse<T extends Tensor>(x: T, axis?: number|number[]): T;\n  concat<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): T;\n  stack<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): Tensor;\n  unstack<T extends Tensor>(value: T, axis: number): Tensor[];\n  all<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  any<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  logSumExp<T extends Tensor>(\n      x: Tensor, axis: number|number[], keepDims: boolean): T;\n  sum<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  prod<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  mean<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  min<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  max<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  argMin<T extends Tensor>(x: Tensor, axis: number): T;\n  argMax<T extends Tensor>(x: Tensor, axis: number): T;\n  addStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  atan2<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  sub<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  subStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  pow<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  powStrict<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  mul<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  mulStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  floorDiv<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  divStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  mod<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  modStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  minimum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  minimumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  maximum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  maximumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  squaredDifferenceStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  logicalNot<T extends Tensor>(x: T): T;\n  logicalAnd<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalOr<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalXor<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  where<T extends Tensor>(condition: Tensor|TensorLike, a: T, b: T|TensorLike):\n      T;\n  notEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  notEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  less<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  equal<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  equalStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  lessEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greater<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greaterEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  neg<T extends Tensor>(x: T): T;\n  ceil<T extends Tensor>(x: T): T;\n  floor<T extends Tensor>(x: T): T;\n  sign<T extends Tensor>(x: T): T;\n  isNaN<T extends Tensor>(x: T): T;\n  isInf<T extends Tensor>(x: T): T;\n  isFinite<T extends Tensor>(x: T): T;\n  round<T extends Tensor>(x: T): T;\n  exp<T extends Tensor>(x: T): T;\n  expm1<T extends Tensor>(x: T): T;\n  log<T extends Tensor>(x: T): T;\n  log1p<T extends Tensor>(x: T): T;\n  sqrt<T extends Tensor>(x: T): T;\n  rsqrt<T extends Tensor>(x: T): T;\n  square<T extends Tensor>(x: T): T;\n  reciprocal<T extends Tensor>(x: T): T;\n  abs<T extends Tensor>(x: T): T;\n  clipByValue<T extends Tensor>(\n      x: T, clipValueMin: number, clipValueMax: number): T;\n  sigmoid<T extends Tensor>(x: T): T;\n  logSigmoid<T extends Tensor>(x: T): T;\n  softplus<T extends Tensor>(x: T): T;\n  zerosLike<T extends Tensor>(x: T): T;\n  onesLike<T extends Tensor>(x: T): T;\n  sin<T extends Tensor>(x: T): T;\n  cos<T extends Tensor>(x: T): T;\n  tan<T extends Tensor>(x: T): T;\n  asin<T extends Tensor>(x: T): T;\n  acos<T extends Tensor>(x: T): T;\n  atan<T extends Tensor>(x: T): T;\n  sinh<T extends Tensor>(x: T): T;\n  cosh<T extends Tensor>(x: T): T;\n  tanh<T extends Tensor>(x: T): T;\n  asinh<T extends Tensor>(x: T): T;\n  acosh<T extends Tensor>(x: T): T;\n  atanh<T extends Tensor>(x: T): T;\n  erf<T extends Tensor>(x: T): T;\n  step<T extends Tensor>(x: T, alpha: number): T;\n  relu<T extends Tensor>(x: T): T;\n  relu6<T extends Tensor>(x: T): T;\n  elu<T extends Tensor>(x: T): T;\n  selu<T extends Tensor>(x: T): T;\n  leakyRelu<T extends Tensor>(x: T, alpha: number): T;\n  prelu<T extends Tensor>(x: T, alpha: T|TensorLike): T;\n  softmax<T extends Tensor>(logits: T, dim: number): T;\n  logSoftmax<T extends Tensor>(logits: T, axis: number): T;\n  image: {\n    resizeBilinear<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n    resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n  };\n  conv1d<T extends Tensor2D|Tensor3D>(\n      x: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW', dilation: number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  depthwiseConv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number,\n      dataFormat: 'NHWC'|'NCHW'): T;\n  maxPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  avgPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  pool<T extends Tensor3D|Tensor4D>(\n      input: T, windowShape: [number, number]|number, poolingType: 'avg'|'max',\n      padding: 'valid'|'same'|number, diationRate?: [number, number]|number,\n      strides?: [number, number]|number): T;\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      x: T, depthRadius: number, bias: number, alpha: number, beta: number): T;\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T;\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T;\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T;\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean):\n      {values: T, indices: T};\n  stridedSlice(\n      x: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask: number, endMask: number, ellipsisMask: number,\n      newAxisMask: number, shrinkAxisMask: number): Tensor;\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D;\n  spectral: {\n    fft(x: Tensor): Tensor; ifft(x: Tensor): Tensor; rfft(x: Tensor): Tensor;\n    irfft(x: Tensor): Tensor\n  };\n}\n\n// For tracking tensor creation and disposal.\nlet trackerFn: () => TensorTracker = null;\n// Used by chaining methods to call into ops.\nlet opHandler: OpHandler = null;\n// Used to warn about deprecated methods.\nlet deprecationWarningFn: (msg: string) => void = null;\n// This here so that we can use this method on dev branches and keep the\n// functionality at master.\n// tslint:disable-next-line:no-unused-expression\n[deprecationWarningFn];\n\n/**\n * An external consumer can register itself as the tensor tracker. This way\n * the Tensor class can notify the tracker for every tensor created and\n * disposed.\n */\nexport function setTensorTracker(fn: () => TensorTracker) {\n  trackerFn = fn;\n}\n\n/**\n * An external consumer can register itself as the op handler. This way the\n * Tensor class can have chaining methods that call into ops via the op\n * handler.\n */\nexport function setOpHandler(handler: OpHandler) {\n  opHandler = handler;\n}\n\n/**\n * Sets the deprecation warning function to be used by this file. This way the\n * Tensor class can be a leaf but still use the environment.\n */\nexport function setDeprecationWarningFn(fn: (msg: string) => void) {\n  deprecationWarningFn = fn;\n}\n\n/**\n * We wrap data id since we use weak map to avoid memory leaks.\n * Since we have our own memory management, we have a reference counter\n * mapping a tensor to its data, so there is always a pointer (even if that\n * data is otherwise garbage collectable).\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/\n * Global_Objects/WeakMap\n */\nexport type DataId = object;  // object instead of {} to force non-primitive.\n\n// Declare this namespace to make Tensor class augmentation work in google3.\nexport declare namespace Tensor {}\n/**\n * A `tf.Tensor` object represents an immutable, multidimensional array of\n * numbers that has a shape and a data type.\n *\n * See `tf.tensor` for details on how to create a `tf.Tensor`.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Tensor<R extends Rank = Rank> {\n  /** Unique id of this tensor. */\n  readonly id: number;\n  /**\n   * Id of the bucket holding the data for this tensor. Multiple arrays can\n   * point to the same bucket (e.g. when calling array.reshape()).\n   */\n  dataId: DataId;\n  /** The shape of the tensor. */\n  readonly shape: ShapeMap[R];\n  /** Number of elements in the tensor. */\n  readonly size: number;\n  /** The data type for the array. */\n  readonly dtype: DataType;\n  /** The rank type for the array (see `Rank` enum). */\n  readonly rankType: R;\n\n  /** Whether this tensor has been globally kept. */\n  kept = false;\n  /** The id of the scope this tensor is being tracked in. */\n  scopeId: number;\n\n  /**\n   * Number of elements to skip in each dimension when indexing. See\n   * https://docs.scipy.org/doc/numpy/reference/generated/\\\n   * numpy.ndarray.strides.html\n   */\n  readonly strides: number[];\n\n  constructor(shape: ShapeMap[R], dtype: DataType, dataId: DataId, id: number) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.dtype = dtype || 'float32';\n    this.size = util.sizeFromShape(shape);\n    this.strides = computeStrides(shape);\n    this.dataId = dataId;\n    this.id = id;\n    this.rankType = (this.rank < 5 ? this.rank.toString() : 'higher') as R;\n  }\n\n  /** Flatten a Tensor to a 1D array. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  flatten(): Tensor1D {\n    this.throwIfDisposed();\n    return this.as1D();\n  }\n\n  /** Converts a size-1 `tf.Tensor` to a `tf.Scalar`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asScalar(): Scalar {\n    this.throwIfDisposed();\n    util.assert(this.size === 1, () => 'The array must have only 1 element.');\n    return this.reshape<Rank.R0>([]);\n  }\n\n  /** Converts a `tf.Tensor` to a `tf.Tensor1D`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as1D(): Tensor1D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R1>([this.size]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor2D`.\n   *\n   * @param rows Number of rows in `tf.Tensor2D`.\n   * @param columns Number of columns in `tf.Tensor2D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as2D(rows: number, columns: number): Tensor2D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R2>([rows, columns]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor3D`.\n   *\n   * @param rows Number of rows in `tf.Tensor3D`.\n   * @param columns Number of columns in `tf.Tensor3D`.\n   * @param depth Depth of `tf.Tensor3D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as3D(rows: number, columns: number, depth: number): Tensor3D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R3>([rows, columns, depth]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor4D`.\n   *\n   * @param rows Number of rows in `tf.Tensor4D`.\n   * @param columns Number of columns in `tf.Tensor4D`.\n   * @param depth Depth of `tf.Tensor4D`.\n   * @param depth2 4th dimension of `tf.Tensor4D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as4D(rows: number, columns: number, depth: number, depth2: number): Tensor4D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R4>([rows, columns, depth, depth2]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor5D`.\n   *\n   * @param rows Number of rows in `tf.Tensor5D`.\n   * @param columns Number of columns in `tf.Tensor5D`.\n   * @param depth Depth of `tf.Tensor5D`.\n   * @param depth2 4th dimension of `tf.Tensor5D`.\n   * @param depth3 5th dimension of 'tf.Tensor5D'\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as5D(\n      rows: number, columns: number, depth: number, depth2: number,\n      depth3: number): Tensor5D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R5>([rows, columns, depth, depth2, depth3]);\n  }\n\n  /**\n   * Casts a `tf.Tensor` to a specified dtype.\n   *\n   * @param dtype Data-type to cast the tensor to.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asType<T extends this>(this: T, dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this, dtype);\n  }\n\n  get rank(): number {\n    return this.shape.length;\n  }\n\n  /**\n   * Returns a promise of `tf.TensorBuffer` that holds the underlying data.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async buffer<D extends DataType = 'float32'>(): Promise<TensorBuffer<R, D>> {\n    const vals = await this.data<D>();\n    return opHandler.buffer(this.shape, this.dtype as D, vals);\n  }\n\n  /** Returns a `tf.TensorBuffer` that holds the underlying data. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  bufferSync<D extends DataType = 'float32'>(): TensorBuffer<R, D> {\n    return opHandler.buffer(this.shape, this.dtype as D, this.dataSync());\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * asynchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async array(): Promise<ArrayMap[R]> {\n    const vals = await this.data();\n    return toNestedArray(this.shape, vals) as ArrayMap[R];\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * synchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  arraySync(): ArrayMap[R] {\n    return toNestedArray(this.shape, this.dataSync()) as ArrayMap[R];\n  }\n\n  /**\n   * Asynchronously downloads the values from the `tf.Tensor`. Returns a\n   * promise of `TypedArray` that resolves when the computation has finished.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]> {\n    this.throwIfDisposed();\n    const data = trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      const bytes = await data as Uint8Array[];\n      try {\n        return bytes.map(b => util.decodeString(b)) as DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as Promise<DataTypeMap[D]>;\n  }\n\n  /**\n   * Synchronously downloads the values from the `tf.Tensor`. This blocks the\n   * UI thread until the values are ready, which can cause performance issues.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D] {\n    this.throwIfDisposed();\n    const data = trackerFn().readSync(this.dataId);\n    if (this.dtype === 'string') {\n      try {\n        return (data as Uint8Array[]).map(b => util.decodeString(b)) as\n            DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as DataTypeMap[D];\n  }\n\n  /** Returns the underlying bytes of the tensor's data. */\n  async bytes(): Promise<Uint8Array[]|Uint8Array> {\n    this.throwIfDisposed();\n    const data = await trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      return data as Uint8Array[];\n    } else {\n      return new Uint8Array((data as TypedArray).buffer);\n    }\n  }\n\n  /**\n   * Disposes `tf.Tensor` from memory.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dispose(): void {\n    if (this.isDisposed) {\n      return;\n    }\n    trackerFn().disposeTensor(this);\n    this.isDisposedInternal = true;\n  }\n\n  protected isDisposedInternal = false;\n  get isDisposed(): boolean {\n    return this.isDisposedInternal;\n  }\n\n  private throwIfDisposed() {\n    if (this.isDisposed) {\n      throw new Error(`Tensor is disposed.`);\n    }\n  }\n\n  /** Casts the array to type `float32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toFloat<T extends this>(this: T): T {\n    return this.asType('float32');\n  }\n\n  /** Casts the array to type `int32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toInt() {\n    return this.asType('int32');\n  }\n\n  /** Casts the array to type `bool` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toBool() {\n    return this.asType('bool');\n  }\n\n  /**\n   * Prints the `tf.Tensor`. See `tf.print` for details.\n   *\n   * @param verbose Whether to print verbose information about the tensor,\n   *    including dtype and size.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  print(verbose = false): void {\n    return opHandler.print(this, verbose);\n  }\n\n  /**\n   * Reshapes the tensor into the provided shape.\n   * See `tf.reshape` for more details.\n   *\n   * @param newShape An array of integers defining the output tensor shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshape<R2 extends Rank>(newShape: ShapeMap[R2]): Tensor<R2> {\n    this.throwIfDisposed();\n    return opHandler.reshape(this, newShape);\n  }\n\n  /**\n   * Reshapes the tensor into the shape of the provided tensor.\n   *\n   * @param x The tensor of required shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshapeAs<T extends Tensor>(x: T): T {\n    this.throwIfDisposed();\n    return this.reshape(x.shape) as T;\n  }\n\n  /**\n   * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n   * into the tensor's shape. See `tf.expandDims` for details.\n   *\n   * @param axis The dimension index at which to insert shape of 1. Defaults to\n   *     0 (the first dimension).\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  expandDims<R2 extends Rank>(axis = 0): Tensor<R2> {\n    return opHandler.expandDims(this, axis);\n  }\n\n  /**\n   * Returns the cumulative sum of the `tf.Tensor` along `axis`.\n   *\n   * @param axis The axis along which to sum. Optional. Defaults to 0.\n   * @param exclusive Whether to perform exclusive cumulative sum. Defaults to\n   *    false. If set to true then the sum of each tensor entry does not\n   * include its own value, but only the values previous to it along the\n   * specified axis.\n   * @param reverse Whether to sum in the opposite direction. Defaults to\n   *    false.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  cumsum<T extends Tensor>(axis = 0, exclusive = false, reverse = false): T {\n    return opHandler.cumsum(this, axis, exclusive, reverse);\n  }\n\n  /**\n   * Returns a `tf.Tensor` with dimensions of size 1 removed from the shape.\n   * See `tf.squeeze` for more details.\n   *\n   * @param axis A list of numbers. If specified, only squeezes the\n   *    dimensions listed. The dimension index starts at 0. It is an error to\n   *    squeeze a dimension that is not 1.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  squeeze<T extends Tensor>(axis?: number[]): T {\n    this.throwIfDisposed();\n    return opHandler.squeeze(this, axis);\n  }\n\n  /** Returns a copy of the tensor. See `tf.clone` for details. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  clone<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.clone(this);\n  }\n\n  /**\n   * Returns a human-readable description of the tensor. Useful for logging.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toString(verbose = false): string {\n    const vals = this.dataSync();\n    return tensorToString(vals, this.shape, this.dtype, verbose);\n  }\n\n  // Below is chain API that is not exposed to docs to avoid repetition. To\n  // expose a method, move it above this comment and add @doc and jsdoc.\n\n  gather<T extends this>(this: T, indices: Tensor|TensorLike, axis = 0): T {\n    this.throwIfDisposed();\n    return opHandler.gather(this, indices, axis);\n  }\n\n  matMul<T extends Tensor>(\n      this: T, b: T|TensorLike, transposeA = false, transposeB = false): T {\n    this.throwIfDisposed();\n    return opHandler.matMul(this, b, transposeA, transposeB);\n  }\n  dot(b: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.dot(this, b);\n  }\n  norm(\n      ord: number|'euclidean'|'fro' = 'euclidean', axis: number|number[] = null,\n      keepDims = false): Tensor {\n    this.throwIfDisposed();\n    return opHandler.norm(this, ord, axis, keepDims);\n  }\n  slice<T extends Tensor<R>>(\n      this: T, begin: number|number[], size?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.slice(this, begin, size);\n  }\n  reverse<T extends Tensor>(this: T, axis?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.reverse(this, axis);\n  }\n  concat<T extends Tensor>(this: T, x: T|Array<T|TensorLike>, axis = 0): T {\n    this.throwIfDisposed();\n    if (x instanceof Tensor) {\n      x = [x];\n    }\n    return opHandler.concat([this, ...x], axis);\n  }\n  split<T extends Tensor>(this: T, numOrSizeSplits: number[]|number, axis = 0):\n      T[] {\n    this.throwIfDisposed();\n    return opHandler.split(this, numOrSizeSplits, axis);\n  }\n  stack(x: Tensor, axis = 0): Tensor {\n    return opHandler.stack([this, x], axis);\n  }\n  unstack(axis = 0): Tensor[] {\n    return opHandler.unstack(this, axis);\n  }\n  /**\n   * @deprecated Use `tf.batchNorm` instead, and note the positional argument\n   *     change of scale, offset, and varianceEpsilon.\n   */\n  batchNormalization(\n      mean: Tensor<R>|Tensor1D|TensorLike,\n      variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n      scale?: Tensor<R>|Tensor1D|TensorLike,\n      offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n    deprecationWarningFn(\n        'tf.batchNormalization() is going away. ' +\n        'Use tf.batchNorm() instead, and note the positional argument change ' +\n        'of scale, offset, and varianceEpsilon');\n    return this.batchNorm(mean, variance, offset, scale, varianceEpsilon);\n  }\n\n  // Reduction ops.\n  all<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.all(this, axis, keepDims);\n  }\n  any<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.any(this, axis, keepDims);\n  }\n  logSumExp<T extends Tensor>(axis: number|number[] = null, keepDims = false):\n      T {\n    this.throwIfDisposed();\n    return opHandler.logSumExp(this, axis, keepDims);\n  }\n  sum<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.sum(this, axis, keepDims);\n  }\n  prod<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.prod(this, axis, keepDims);\n  }\n  mean<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.mean(this, axis, keepDims);\n  }\n  min<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.min(this, axis, keepDims);\n  }\n  max<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.max(this, axis, keepDims);\n  }\n  argMin<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMin(this, axis);\n  }\n  argMax<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMax(this, axis);\n  }\n\n  // Transformations\n  cast<T extends this>(dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this as T, dtype);\n  }\n\n  // Binary ops.\n  addStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.addStrict(this, x);\n  }\n  atan2<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.atan2(this, x);\n  }\n  sub<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.sub(this, x);\n  }\n  subStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.subStrict(this, x);\n  }\n  pow<T extends Tensor>(this: T, exp: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.pow(this, exp);\n  }\n  powStrict(exp: Tensor|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.powStrict(this, exp);\n  }\n  mul<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mul(this, x);\n  }\n  mulStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mulStrict(this, x);\n  }\n  floorDiv<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.floorDiv(this, x);\n  }\n  divStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.divStrict(this, x);\n  }\n  minimum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimum(this, x);\n  }\n  minimumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimumStrict(this, x);\n  }\n  maximum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximum(this, x);\n  }\n  maximumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximumStrict(this, x);\n  }\n  mod<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mod(this, x);\n  }\n  modStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.modStrict(this, x);\n  }\n  squaredDifferenceStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.squaredDifferenceStrict(this, x);\n  }\n\n  // Compare ops.\n\n  notEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqual(this, x);\n  }\n  notEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqualStrict(this, x);\n  }\n  less<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.less(this, x);\n  }\n  lessStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessStrict(this, x);\n  }\n  equal<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equal(this, x);\n  }\n  equalStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equalStrict(this, x);\n  }\n  lessEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqual(this, x);\n  }\n  lessEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqualStrict(this, x);\n  }\n  greater<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greater(this, x);\n  }\n  greaterStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterStrict(this, x);\n  }\n  greaterEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqual(this, x);\n  }\n  greaterEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqualStrict(this, x);\n  }\n\n  // Compare ops.\n  logicalAnd(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalAnd(this, x);\n  }\n  logicalOr(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalOr(this, x);\n  }\n  logicalNot<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logicalNot(this);\n  }\n  logicalXor(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalXor(this, x);\n  }\n  where(condition: Tensor|TensorLike, x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.where(condition, this, x);\n  }\n\n  // Unary ops.\n  neg<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.neg(this);\n  }\n  ceil<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.ceil(this);\n  }\n  floor<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.floor(this);\n  }\n  sign<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sign(this);\n  }\n  isNaN<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isNaN(this);\n  }\n  isInf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isInf(this);\n  }\n  isFinite<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isFinite(this);\n  }\n  exp<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.exp(this);\n  }\n  expm1<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.expm1(this);\n  }\n  log<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log(this);\n  }\n  log1p<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log1p(this);\n  }\n  sqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sqrt(this);\n  }\n  rsqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.rsqrt(this);\n  }\n  square<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.square(this);\n  }\n  reciprocal<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.reciprocal(this);\n  }\n  abs<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.abs(this);\n  }\n  clipByValue(min: number, max: number): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.clipByValue(this, min, max);\n  }\n  relu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu(this);\n  }\n  relu6<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu6(this);\n  }\n  elu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.elu(this);\n  }\n  selu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.selu(this);\n  }\n  leakyRelu(alpha = 0.2): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.leakyRelu(this, alpha);\n  }\n  prelu(alpha: Tensor<R>|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.prelu(this, alpha);\n  }\n  sigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sigmoid(this);\n  }\n  logSigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logSigmoid(this);\n  }\n  softplus<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.softplus(this);\n  }\n  zerosLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.zerosLike(this);\n  }\n  onesLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.onesLike(this);\n  }\n  sin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sin(this);\n  }\n  cos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cos(this);\n  }\n  tan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tan(this);\n  }\n  asin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asin(this);\n  }\n  acos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acos(this);\n  }\n  atan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atan(this);\n  }\n  sinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sinh(this);\n  }\n  cosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cosh(this);\n  }\n  tanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tanh(this);\n  }\n  asinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asinh(this);\n  }\n  acosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acosh(this);\n  }\n  atanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atanh(this);\n  }\n  erf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.erf(this);\n  }\n  round<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.round(this);\n  }\n  step<T extends Tensor>(this: T, alpha = 0.0): T {\n    this.throwIfDisposed();\n    return opHandler.step(this, alpha);\n  }\n  softmax<T extends this>(this: T, dim = -1): T {\n    this.throwIfDisposed();\n    return opHandler.softmax(this, dim);\n  }\n  logSoftmax<T extends this>(this: T, axis = -1): T {\n    this.throwIfDisposed();\n    return opHandler.logSoftmax(this, axis);\n  }\n\n  // Image ops.\n  resizeBilinear<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeBilinear(this, newShape2D, alignCorners);\n  }\n\n  resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeNearestNeighbor(\n        this, newShape2D, alignCorners);\n  }\n\n  // Convolutions.\n  conv1d<T extends Tensor2D|Tensor3D>(\n      this: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv1d(\n        this, filter, stride, pad, dataFormat, dilation, dimRoundingMode);\n  }\n  conv2d<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2dTranspose(\n        this, filter, outputShape, strides, pad, dimRoundingMode);\n  }\n  depthwiseConv2D<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.depthwiseConv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      this: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n      dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.separableConv2d(\n        this, depthwiseFilter, pointwiseFilter, strides, pad, dilation,\n        dataFormat);\n  }\n\n  // Pooling.\n  avgPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.avgPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  maxPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.maxPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      this: T, radius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n    return opHandler.localResponseNormalization(\n        this, radius, bias, alpha, beta);\n  }\n  pool<T extends Tensor3D|Tensor4D>(\n      this: T, windowShape: [number, number]|number, poolingType: 'max'|'avg',\n      padding: 'valid'|'same'|number, dilationRate?: [number, number]|number,\n      strides?: [number, number]|number): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.pool(\n        this, windowShape, poolingType, padding, dilationRate, strides);\n  }\n\n  variable(trainable = true, name?: string, dtype?: DataType): Variable<R> {\n    this.throwIfDisposed();\n    return trackerFn().makeVariable(this, trainable, name, dtype) as\n        Variable<R>;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      this: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T {\n    this.throwIfDisposed();\n    return opHandler.unsortedSegmentSum(this, segmentIds, numSegments);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      this: T, blockShape: number[], crops: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.batchToSpaceND(this, blockShape, crops);\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      this: T, blockShape: number[], paddings: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.spaceToBatchND(this, blockShape, paddings);\n  }\n\n  topk<T extends Tensor>(this: T, k = 1, sorted = true):\n      {values: T, indices: T} {\n    this.throwIfDisposed();\n    return opHandler.topk(this, k, sorted);\n  }\n\n  stridedSlice(\n      this: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n      shrinkAxisMask = 0): Tensor {\n    this.throwIfDisposed();\n    return opHandler.stridedSlice(\n        this, begin, end, strides, beginMask, endMask, ellipsisMask,\n        newAxisMask, shrinkAxisMask);\n  }\n\n  depthToSpace(this: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    this.throwIfDisposed();\n    return opHandler.depthToSpace(this, blockSize, dataFormat);\n  }\n\n  fft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.fft(this);\n  }\n\n  ifft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.ifft(this);\n  }\n\n  rfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.rfft(this);\n  }\n\n  irfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.irfft(this);\n  }\n}\nObject.defineProperty(Tensor, Symbol.hasInstance, {\n  value: (instance: Tensor) => {\n    return !!instance && instance.dataId != null && instance.shape != null &&\n        instance.dtype != null;\n  }\n});\n\nexport interface NumericTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: NumericDataType;\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D];\n  data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]>;\n}\n\nexport interface StringTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: 'string';\n  dataSync<D extends DataType = 'string'>(): DataTypeMap[D];\n  data<D extends DataType = 'string'>(): Promise<DataTypeMap[D]>;\n}\n\n/** @doclink Tensor */\nexport type Scalar = Tensor<Rank.R0>;\n/** @doclink Tensor */\nexport type Tensor1D = Tensor<Rank.R1>;\n/** @doclink Tensor */\nexport type Tensor2D = Tensor<Rank.R2>;\n/** @doclink Tensor */\nexport type Tensor3D = Tensor<Rank.R3>;\n/** @doclink Tensor */\nexport type Tensor4D = Tensor<Rank.R4>;\n/** @doclink Tensor */\nexport type Tensor5D = Tensor<Rank.R5>;\n/** @doclink Tensor */\nexport type Tensor6D = Tensor<Rank.R6>;\n\n/**\n * A mutable `tf.Tensor`, useful for persisting state, e.g. for training.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Variable<R extends Rank = Rank> extends Tensor<R> {\n  name: string;\n\n  constructor(\n      initialValue: Tensor<R>, public trainable: boolean, name: string,\n      tensorId: number) {\n    super(\n        initialValue.shape, initialValue.dtype, initialValue.dataId, tensorId);\n    this.name = name;\n  }\n\n  /**\n   * Assign a new `tf.Tensor` to this variable. The new `tf.Tensor` must have\n   * the same shape and dtype as the old `tf.Tensor`.\n   *\n   * @param newValue New tensor to be assigned to this variable.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  assign(newValue: Tensor<R>): void {\n    if (newValue.dtype !== this.dtype) {\n      throw new Error(\n          `dtype of the new value (${newValue.dtype}) and ` +\n          `previous value (${this.dtype}) must match`);\n    }\n    if (!util.arraysEqual(newValue.shape, this.shape)) {\n      throw new Error(\n          `shape of the new value (${newValue.shape}) and ` +\n          `previous value (${this.shape}) must match`);\n    }\n    trackerFn().disposeTensor(this);\n    this.dataId = newValue.dataId;\n    trackerFn().incRef(this, null /* backend */);\n  }\n\n  dispose(): void {\n    trackerFn().disposeVariable(this);\n    this.isDisposedInternal = true;\n  }\n}\n\nObject.defineProperty(Variable, Symbol.hasInstance, {\n  value: (instance: Variable) => {\n    return instance instanceof Tensor && instance.assign != null &&\n        instance.assign instanceof Function;\n  }\n});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** @docalias number[] */\nexport interface ShapeMap {\n  R0: number[];\n  R1: [number];\n  R2: [number, number];\n  R3: [number, number, number];\n  R4: [number, number, number, number];\n  R5: [number, number, number, number, number];\n  R6: [number, number, number, number, number, number];\n}\n\n/** @docalias number[] */\nexport interface ArrayMap {\n  R0: number;\n  R1: number[];\n  R2: number[][];\n  R3: number[][][];\n  R4: number[][][][];\n  R5: number[][][][][];\n  R6: number[][][][][][];\n}\n\nexport interface DataTypeMap {\n  float32: Float32Array;\n  int32: Int32Array;\n  bool: Uint8Array;\n  complex64: Float32Array;\n  string: string[];\n}\n\nexport interface SingleValueMap {\n  bool: boolean;\n  int32: number;\n  float32: number;\n  complex64: number;\n  string: string;\n}\n\n/** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */\nexport type DataType = keyof DataTypeMap;\nexport type NumericDataType = 'float32'|'int32'|'bool'|'complex64';\nexport type TypedArray = Float32Array|Int32Array|Uint8Array;\n/** Tensor data used in tensor creation and user-facing API. */\nexport type DataValues = DataTypeMap[DataType];\n/** The underlying tensor data that gets stored in a backend. */\nexport type BackendValues = Float32Array|Int32Array|Uint8Array|Uint8Array[];\n\nexport enum Rank {\n  R0 = 'R0',\n  R1 = 'R1',\n  R2 = 'R2',\n  R3 = 'R3',\n  R4 = 'R4',\n  R5 = 'R5',\n  R6 = 'R6'\n}\n\nexport type FlatVector = boolean[]|number[]|TypedArray;\nexport type RegularArray<T> =\n    T[]|T[][]|T[][][]|T[][][][]|T[][][][][]|T[][][][][][];\n\n// tslint:disable-next-line:no-any\nexport interface RecursiveArray<T extends any> {\n  [index: number]: T|RecursiveArray<T>;\n}\n\n// Looks for upcasting types. Used, for example, in operations with mixed dtype\n// inputs.\nenum UpcastInt32AndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'int32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastBoolAndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'bool',\n  'complex64' = 'complex64'\n}\n\nenum UpcastFloat32AndMap {\n  'float32' = 'float32',\n  'int32' = 'float32',\n  'bool' = 'float32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastComplex64AndMap {\n  'float32' = 'complex64',\n  'int32' = 'complex64',\n  'bool' = 'complex64',\n  'complex64' = 'complex64'\n}\n\nconst upcastTypeMap = {\n  'float32': UpcastFloat32AndMap,\n  'int32': UpcastInt32AndMap,\n  'bool': UpcastBoolAndMap,\n  'complex64': UpcastComplex64AndMap\n};\n\nexport function upcastType(typeA: DataType, typeB: DataType): DataType {\n  if (typeA === 'string' || typeB === 'string') {\n    if (typeA === 'string' && typeB === 'string') {\n      return 'string';\n    }\n    throw new Error(`Can not upcast ${typeA} with ${typeB}`);\n  }\n  return upcastTypeMap[typeA][typeB];\n}\n\n/** Returns the output type after summation. */\nexport function sumOutType(type: DataType): DataType {\n  return upcastType(type, 'int32');\n}\n\n/** @docalias TypedArray|Array */\nexport type TensorLike =\n    TypedArray|number|boolean|string|RecursiveArray<number|number[]|TypedArray>|\n    RecursiveArray<boolean>|RecursiveArray<string>|Uint8Array[];\nexport type ScalarLike = number|boolean|string|Uint8Array;\n/** @docalias TypedArray|Array */\nexport type TensorLike1D = TypedArray|number[]|boolean[]|string[]|Uint8Array[];\n/** @docalias TypedArray|Array */\nexport type TensorLike2D = TypedArray|number[]|number[][]|boolean[]|boolean[][]|\n    string[]|string[][]|Uint8Array[]|Uint8Array[][];\n/** @docalias TypedArray|Array */\nexport type TensorLike3D = TypedArray|number[]|number[][][]|boolean[]|\n    boolean[][][]|string[]|string[][][]|Uint8Array[]|Uint8Array[][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike4D = TypedArray|number[]|number[][][][]|boolean[]|\n    boolean[][][][]|string[]|string[][][][]|Uint8Array[]|Uint8Array[][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike5D =\n    TypedArray|number[]|number[][][][][]|boolean[]|boolean[][][][][]|string[]|\n    string[][][][][]|Uint8Array[]|Uint8Array[][][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike6D =\n    TypedArray|number[]|number[][][][][][]|boolean[]|boolean[][][][][][]|\n    string[]|string[][][][][][]|Uint8Array[]|Uint8Array[][][][][];\n\n/** Type for representing image dat in Uint8Array type. */\nexport interface PixelData {\n  width: number;\n  height: number;\n  data: Uint8Array;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {TensorContainer, TensorContainerArray} from './tensor_types';\nimport {upcastType} from './types';\nimport {assert} from './util';\n\nexport function makeTypesMatch<T extends Tensor>(a: T, b: T): [T, T] {\n  if (a.dtype === b.dtype) {\n    return [a, b];\n  }\n  const dtype = upcastType(a.dtype, b.dtype);\n  return [a.cast(dtype), b.cast(dtype)];\n}\n\nexport function assertTypesMatch(a: Tensor, b: Tensor): void {\n  assert(\n      a.dtype === b.dtype,\n      () => `The dtypes of the first(${a.dtype}) and` +\n          ` second(${b.dtype}) input must match`);\n}\n\nexport function isTensorInList(tensor: Tensor, tensorList: Tensor[]): boolean {\n  return tensorList.some(x => x.id === tensor.id);\n}\n\n/**\n * Extracts any `Tensor`s found within the provided object.\n *\n * @param container an object that may be a `Tensor` or may directly contain\n *   `Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. In general it\n *   is safe to pass any object here, except that `Promise`s are not\n *   supported.\n * @returns An array of `Tensors` found within the passed object. If the\n *   argument is simply a `Tensor', a list containing that `Tensor` is\n *   returned. If the object is not a `Tensor` or does not\n *   contain `Tensors`, an empty list is returned.\n */\nexport function getTensorsInContainer(result: TensorContainer): Tensor[] {\n  const list: Tensor[] = [];\n  const seen = new Set<{}|void>();\n  walkTensorContainer(result, list, seen);\n  return list;\n}\n\nfunction walkTensorContainer(\n    container: TensorContainer, list: Tensor[], seen: Set<{}|void>): void {\n  if (container == null) {\n    return;\n  }\n  if (container instanceof Tensor) {\n    list.push(container);\n    return;\n  }\n  if (!isIterable(container)) {\n    return;\n  }\n  // Iteration over keys works also for arrays.\n  const iterable = container as TensorContainerArray;\n  for (const k in iterable) {\n    const val = iterable[k];\n    if (!seen.has(val)) {\n      seen.add(val);\n      walkTensorContainer(val, list, seen);\n    }\n  }\n}\n\n// tslint:disable-next-line:no-any\nfunction isIterable(obj: any): boolean {\n  return Array.isArray(obj) || typeof obj === 'object';\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimingInfo, DataMover, KernelBackend} from './backends/backend';\nimport {Environment, setEnvironmentGlobal} from './environment';\nimport {getGradient, getKernel, getKernelsForBackend, GradFunc, NamedAttrMap, TensorInfo} from './kernel_registry';\nimport {Profiler} from './profiler';\nimport {backpropagateGradients, getFilteredNodesXToY, TapeNode} from './tape';\nimport {DataId, setTensorTracker, Tensor, TensorTracker, Variable} from './tensor';\nimport {GradSaveFunc, NamedTensorMap, NamedVariableMap, TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\nimport {BackendValues, DataType, DataValues} from './types';\nimport * as util from './util';\nimport {bytesFromStringArray, makeOnesTypedArray, now, sizeFromShape} from './util';\n\n/**\n * A function that computes an output. The save function is for saving tensors\n * computed in the forward pass, that we need in the backward pass.\n */\nexport type ForwardFunc<T> = (backend: KernelBackend, save?: GradSaveFunc) => T;\n\n/**\n * @docalias (a: Tensor, b: Tensor,..., save?: Function) => {\n *   value: Tensor,\n *   gradFunc: (dy: Tensor, saved?: NamedTensorMap) => Tensor | Tensor[]\n * }\n */\nexport type CustomGradientFunc<T extends Tensor> =\n    (...inputs: Array<Tensor|GradSaveFunc>) => {\n      value: T;\n      gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[];\n    };\n\nexport type MemoryInfo = {\n  numTensors: number; numDataBuffers: number; numBytes: number;\n  unreliable?: boolean; reasons: string[];\n};\n\ntype KernelProfile = {\n  name: string; bytesAdded: number; totalBytesSnapshot: number;\n  tensorsAdded: number;\n  totalTensorsSnapshot: number;\n  inputShapes: number[][];\n  outputShapes: number[][];\n};\n\nexport type ProfileInfo = {\n  newBytes: number; newTensors: number; peakBytes: number;\n  kernels: KernelProfile[];\n  result: TensorContainer;\n};\n\nexport interface TimingInfo extends BackendTimingInfo {\n  wallMs: number;\n}\n\n/** @docalias Function */\nexport type ScopeFn<T extends TensorContainer> = () => T;\n\ninterface ScopeState {\n  track: Tensor[];\n  name: string;\n  id: number;\n}\n\nclass EngineState {\n  // Public since optimizers will use it.\n  registeredVariables: NamedVariableMap = {};\n\n  nextTapeNodeId = 0;\n  numBytes = 0;\n  numTensors = 0;\n  numStringTensors = 0;\n  numDataBuffers = 0;\n\n  activeTape: TapeNode[];\n  // Number of nested tf.grad() statements when computing higher-order\n  // gradients. E.g. `1` for first-order gradients and `2` for second-order\n  // gradients. Used to track if the tape should be removed after a backprop.\n  gradientDepth = 0;\n  // Number of nested kernel calls. When kernel depth is greater than 1, we turn\n  // off the tape.\n  kernelDepth = 0;\n\n  // Keep Tensors that parallel the tapes.\n  activeScope: ScopeState;\n  scopeStack: ScopeState[] = [];\n  /**\n   * Keeps track of the number of data moves during a kernel execution. We\n   * maintain a stack since kernels can call other kernels, recursively.\n   */\n  numDataMovesStack: number[] = [];\n  nextScopeId = 0;\n\n  tensorInfo = new WeakMap<DataId, {\n    backend: KernelBackend,\n    bytes: number,\n    dtype: DataType,\n    shape: number[],\n    refCount: number\n  }>();\n\n  profiling = false;\n  activeProfile: ProfileInfo =\n      {newBytes: 0, newTensors: 0, peakBytes: 0, kernels: [], result: null};\n\n  dispose() {\n    for (const variableName in this.registeredVariables) {\n      this.registeredVariables[variableName].dispose();\n    }\n  }\n}\n\nexport class Engine implements TensorTracker, DataMover {\n  state: EngineState;\n  backendName: string;\n  registry: {[id: string]: KernelBackend} = {};\n  registryFactory: {\n    [id: string]: {\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority: number\n    }\n  } = {};\n\n  private profiler: Profiler;\n  private backendInstance: KernelBackend;\n  private pendingBackendInit: Promise<boolean>;\n  private pendingBackendInitId = 0;\n\n  constructor(public ENV: Environment) {\n    this.state = new EngineState();\n  }\n\n  async ready(): Promise<void> {\n    if (this.pendingBackendInit != null) {\n      return this.pendingBackendInit.then(() => {});\n    }\n    if (this.backendInstance != null) {\n      return;\n    }\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const success = await this.initializeBackend(backendName).success;\n      if (success) {\n        await this.setBackend(backendName);\n        return;\n      }\n    }\n\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  get backend(): KernelBackend {\n    if (this.pendingBackendInit != null) {\n      throw new Error(\n          `Backend '${this.backendName}' has not yet been initialized. Make ` +\n          `sure to await tf.ready() or await tf.setBackend() before calling ` +\n          `other methods`);\n    }\n    if (this.backendInstance == null) {\n      const {name, asyncInit} = this.initializeBackendsAndReturnBest();\n      if (asyncInit) {\n        throw new Error(\n            `The highest priority backend '${name}' has not yet been ` +\n            `initialized. Make sure to await tf.ready() or ` +\n            `await tf.setBackend() before calling other methods`);\n      }\n      this.setBackend(name);\n    }\n    return this.backendInstance;\n  }\n\n  backendNames(): string[] {\n    return Object.keys(this.registryFactory);\n  }\n\n  findBackend(backendName: string): KernelBackend {\n    if (!(backendName in this.registry)) {\n      // If the backend hasn't been initialized but we have a registry entry for\n      // it, initialize it and return it.\n      if (backendName in this.registryFactory) {\n        const {asyncInit} = this.initializeBackend(backendName);\n        if (asyncInit) {\n          // Backend is not ready yet.\n          return null;\n        }\n      } else {\n        return null;\n      }\n    }\n    return this.registry[backendName];\n  }\n\n  findBackendFactory(backendName: string):\n      () => KernelBackend | Promise<KernelBackend> {\n    if (!(backendName in this.registryFactory)) {\n      return null;\n    }\n    return this.registryFactory[backendName].factory;\n  }\n\n  registerBackend(\n      backendName: string,\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority = 1): boolean {\n    if (backendName in this.registryFactory) {\n      console.warn(\n          `${backendName} backend was already registered. ` +\n          `Reusing existing backend factory.`);\n      return false;\n    }\n    this.registryFactory[backendName] = {factory, priority};\n    return true;\n  }\n\n  async setBackend(backendName: string): Promise<boolean> {\n    if (this.registryFactory[backendName] == null) {\n      throw new Error(`Backend name '${backendName}' not found in registry`);\n    }\n    this.backendName = backendName;\n    if (this.registry[backendName] == null) {\n      this.backendInstance = null;\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      const result = asyncInit ? await success : success;\n      if (!result) {\n        return false;\n      }\n    }\n    this.backendInstance = this.registry[backendName];\n    this.setupRegisteredKernels();\n    // Reset the profiler.\n    this.profiler = new Profiler(this.backendInstance);\n\n    return true;\n  }\n\n  private setupRegisteredKernels(): void {\n    const kernels = getKernelsForBackend(this.backendName);\n    kernels.forEach(kernel => {\n      if (kernel.setupFunc != null) {\n        kernel.setupFunc(this.backendInstance);\n      }\n    });\n  }\n\n  private disposeRegisteredKernels(backendName: string): void {\n    const kernels = getKernelsForBackend(backendName);\n    kernels.forEach(kernel => {\n      if (kernel.disposeFunc != null) {\n        kernel.disposeFunc(this.registry[backendName]);\n      }\n    });\n  }\n\n  /**\n   * Initializes a backend by looking up the backend name in the factory\n   * registry and calling the factory method. Returns a boolean representing\n   * whether the initialization of the backend suceeded. Throws an error if\n   * there is no backend in the factory registry.\n   */\n  private initializeBackend(backendName: string):\n      {success: boolean|Promise<boolean>, asyncInit: boolean} {\n    const registryFactoryEntry = this.registryFactory[backendName];\n    if (registryFactoryEntry == null) {\n      throw new Error(\n          `Cannot initialize backend ${backendName}, no registration found.`);\n    }\n\n    try {\n      const backend = registryFactoryEntry.factory();\n      // Test if the factory returns a promise.\n      if (Promise.resolve(backend) === backend) {\n        const promiseId = ++this.pendingBackendInitId;\n        const success =\n            backend\n                .then(backendInstance => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.registry[backendName] = backendInstance;\n                  this.pendingBackendInit = null;\n                  return true;\n                })\n                .catch(err => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.pendingBackendInit = null;\n                  console.warn(\n                      `Initialization of backend ${backendName} failed`);\n                  console.warn(err.stack || err.message);\n                  return false;\n                });\n        this.pendingBackendInit = success;\n        return {success, asyncInit: true};\n      } else {\n        this.registry[backendName] = backend as KernelBackend;\n        return {success: true, asyncInit: false};\n      }\n    } catch (err) {\n      console.warn(`Initialization of backend ${backendName} failed`);\n      console.warn(err.stack || err.message);\n      return {success: false, asyncInit: false};\n    }\n  }\n\n  removeBackend(backendName: string): void {\n    if (!(backendName in this.registryFactory)) {\n      throw new Error(`${backendName} backend not found in registry`);\n    }\n    if (this.backendName === backendName && this.pendingBackendInit != null) {\n      // There is a pending promise of the backend we want to remove. Make it\n      // obsolete.\n      this.pendingBackendInitId++;\n    }\n\n    if (backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n\n    delete this.registryFactory[backendName];\n\n    // Unset the backend if it is active.\n    if (this.backendName === backendName) {\n      this.pendingBackendInit = null;\n      this.backendName = null;\n      this.backendInstance = null;\n    }\n  }\n\n  private getSortedBackends(): string[] {\n    if (Object.keys(this.registryFactory).length === 0) {\n      throw new Error('No backend found in registry.');\n    }\n    return Object.keys(this.registryFactory).sort((a: string, b: string) => {\n      // Highest priority comes first.\n      return this.registryFactory[b].priority -\n          this.registryFactory[a].priority;\n    });\n  }\n\n  private initializeBackendsAndReturnBest():\n      {name: string, asyncInit: boolean} {\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      if (asyncInit || success) {\n        return {name: backendName, asyncInit};\n      }\n    }\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  moveData(destBackend: KernelBackend, dataId: DataId) {\n    const info = this.state.tensorInfo.get(dataId);\n    const srcBackend = info.backend;\n    const values = this.readSync(dataId);\n    // Delete the tensor from the old backend and move it to the new\n    // backend.\n    srcBackend.disposeData(dataId);\n    info.backend = destBackend;\n    destBackend.move(dataId, values, info.shape, info.dtype);\n    if (this.shouldCheckForMemLeaks()) {\n      // Track the number of moves during a kernel execution to correctly\n      // detect memory leaks.\n      this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;\n    }\n  }\n\n  tidy<T extends TensorContainer>(nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>):\n      T {\n    let name: string = null;\n    if (fn == null) {\n      // Called with only 1 argument.\n      if (typeof nameOrFn !== 'function') {\n        throw new Error('Please provide a function to tidy()');\n      }\n      fn = nameOrFn;\n    } else {\n      // Called with 2 arguments.\n      if (typeof nameOrFn !== 'string' && !(nameOrFn instanceof String)) {\n        throw new Error(\n            'When calling with two arguments, the first argument ' +\n            'to tidy() must be a string');\n      }\n      if (typeof fn !== 'function') {\n        throw new Error(\n            'When calling with two arguments, the 2nd argument ' +\n            'to tidy() must be a function');\n      }\n      name = nameOrFn as string;\n      // TODO(nsthorat,smilkov): Do operation logging and performance\n      // profiling.\n    }\n    let result: T;\n    return this.scopedRun(\n        () => this.startScope(name), () => this.endScope(result), () => {\n          result = fn();\n          if (result instanceof Promise) {\n            console.error('Cannot return a Promise inside of tidy.');\n          }\n          return result;\n        });\n  }\n\n  private scopedRun<T>(start: () => void, end: () => void, f: () => T): T {\n    start();\n    try {\n      const res = f();\n      end();\n      return res;\n    } catch (ex) {\n      end();\n      throw ex;\n    }\n  }\n\n  private static nextTensorId = 0;\n  private nextTensorId(): number {\n    return Engine.nextTensorId++;\n  }\n\n  private static nextVariableId = 0;\n  private nextVariableId(): number {\n    return Engine.nextVariableId++;\n  }\n\n  /**\n   * This method is called instead of the public-facing tensor.clone() when\n   * saving a tensor for backwards pass. It makes sure to add the clone\n   * operation to the tape regardless of being called inside a kernel\n   * execution.\n   *\n   * This method will go away once all kernels are modularized since we won't\n   * need to turn off the tape inside runKernel().\n   */\n  private clone(x: Tensor): Tensor {\n    const y = this.makeTensorFromDataId(x.dataId, x.shape, x.dtype);\n    const inputs = {x};\n    const grad = (dy: Tensor) => ({x: () => dy.toFloat()});\n    const saved: Tensor[] = [];\n    this.addTapeNode(this.state.activeScope.name, inputs, [y], grad, saved, {});\n    return y;\n  }\n\n  /**\n   * Execute a kernel with the given name and return the output tensor.\n   *\n   * @param kernelName The name of the kernel to execute.\n   * @param inputs A map of input names to tensors.\n   * @param attrs A map of attribute names to their values. An attribute is a\n   *     primitive (non-tensor) input to the kernel.\n   * @param inputsToSave A list of tensors, inputs to save for the backprop\n   *     computation.\n   * @param outputsToSave A list of booleans, specifying which output to save\n   *     for the backprop computation. These are booleans since the output\n   * tensors are not visible to the user.\n   */\n  runKernel(\n      kernelName: string, inputs: NamedTensorMap, attrs: NamedAttrMap,\n      inputsToSave?: Tensor[], outputsToSave?: boolean[]): Tensor|Tensor[] {\n    const forwardFunc: null = null;\n    const backwardsFunc: null = null;\n    // Call runKernel as a stop-gap until we modularize all kernels.\n    // Once we modularize all kernels, we will remove the existing\n    // `runKernelFunc`.\n    return this.runKernelFunc(\n        forwardFunc, inputs, backwardsFunc, kernelName, attrs, inputsToSave,\n        outputsToSave);\n  }\n\n  private shouldCheckForMemLeaks(): boolean {\n    return this.ENV.getBool('IS_TEST');\n  }\n\n  private checkKernelForMemLeak(\n      kernelName: string, numDataIdsBefore: number,\n      outInfos: TensorInfo[]): void {\n    const numDataIdsAfter = this.backend.numDataIds();\n\n    // Count the number of data ids associated with the result of the kernel.\n    let numOutputDataIds = 0;\n    outInfos.forEach(info => {\n      // Complex numbers allocate 3 data ids, one for 'real', one for\n      // 'imaginary', and one for the container that holds the former two.\n      numOutputDataIds += (info.dtype === 'complex64' ? 3 : 1);\n    });\n\n    // Account for the number of moves during kernel execution. A \"data move\"\n    // can happen in the middle of a kernel execution, placing a new (key,value)\n    // pair in the data storage. Since data moves have net zero effect (we\n    // always remove the data from the old backend), we have to cancel them out\n    // when detecting memory leaks.\n    const numMoves =\n        this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];\n    const dataIdsLeaked =\n        numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;\n    if (dataIdsLeaked > 0) {\n      throw new Error(\n          `Backend '${this.backendName}' has an internal memory leak ` +\n          `(${dataIdsLeaked} data ids) after running '${kernelName}'`);\n    }\n  }\n\n  /**\n   * @deprecated Use `runKernel` for newly added kernels. Keep using this method\n   *     only for kernels that are not yet fully modularized.\n   */\n  runKernelFunc<T extends Tensor|Tensor[], I extends NamedTensorMap>(\n      forwardFunc: ForwardFunc<T>, inputs: I,\n      backwardsFunc?: (dy: T, saved: Tensor[]) => {[P in keyof I]: () => I[P]},\n      kernelName?: string, attrs?: NamedAttrMap, inputsToSave?: Tensor[],\n      outputsToSave?: boolean[]): T {\n    let outputs: Tensor[];\n    let saved: Tensor[] = [];\n    const isTapeOn = this.isTapeOn();\n    if (kernelName == null) {\n      kernelName =\n          this.state.activeScope != null ? this.state.activeScope.name : '';\n    }\n\n    const startingBytecount = this.state.numBytes;\n    const startingNumTensors = this.state.numTensors;\n\n    if (this.shouldCheckForMemLeaks()) {\n      this.state.numDataMovesStack.push(0);\n    }\n\n    let kernelFunc: () => Tensor[];\n    const kernel = getKernel(kernelName, this.backendName);\n    let out: TensorInfo|TensorInfo[];\n    if (kernel != null) {\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = kernel.kernelFunc({inputs, attrs, backend: this.backend});\n        const outInfos = Array.isArray(out) ? out : [out];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos);\n        }\n        const outTensors = outInfos.map(\n            ({dataId, shape, dtype}) =>\n                this.makeTensorFromDataId(dataId, shape, dtype));\n\n        // Save the inputs and outputs.\n        // Do not save unless we are recording to the tape. Otherwise it would\n        // cause a mem leak since we would never run backprop, which disposes\n        // the kept tensors.\n        if (isTapeOn) {\n          let tensorsToSave =\n              this.getTensorsForGradient(kernelName, inputs, outTensors);\n          if (tensorsToSave == null) {\n            // Fallback for ops that call runKernelFunc and pass in\n            // inputsToSave and outputsToSave. Currently this is the set of ops\n            // with kernel support in the WASM backend. Once those ops and\n            // respective gradients are modularised we can remove this path.\n            if (outputsToSave == null) {\n              outputsToSave = [];\n            }\n            const outsToSave = outTensors.filter((_, i) => outputsToSave[i]);\n            tensorsToSave = (inputsToSave || []).slice().concat(outsToSave);\n          }\n          saved = this.saveTensorsForBackwardMode(tensorsToSave);\n        }\n        return outTensors;\n      };\n    } else {\n      const saveFunc: GradSaveFunc = (tensors) => {\n        // Do not save unless we are recording to the tape. Otherwise it would\n        // cause a mem leak since we would never run backprop, which disposes\n        // the kept tensors.\n        if (!isTapeOn) {\n          return;\n        }\n        saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n      };\n\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = this.tidy(() => forwardFunc(this.backend, saveFunc));\n        const outs = (Array.isArray(out) ? out : [out]) as Tensor[];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outs);\n        }\n        return outs;\n      };\n    }\n\n    // Stop recording to a tape when running a kernel.\n    this.scopedRun(\n        () => this.state.kernelDepth++, () => this.state.kernelDepth--, () => {\n          if (!this.ENV.getBool('DEBUG')) {\n            outputs = kernelFunc();\n          } else {\n            outputs = this.profiler.profileKernel(\n                kernelName, inputs, () => kernelFunc());\n          }\n        });\n\n    if (isTapeOn) {\n      this.addTapeNode(\n          kernelName, inputs, outputs, backwardsFunc, saved, attrs);\n    }\n\n    if (this.state.profiling) {\n      this.state.activeProfile.kernels.push({\n        name: kernelName,\n        bytesAdded: this.state.numBytes - startingBytecount,\n        totalBytesSnapshot: this.state.numBytes,\n        tensorsAdded: this.state.numTensors - startingNumTensors,\n        totalTensorsSnapshot: this.state.numTensors,\n        inputShapes: Object.keys(inputs).map(key => inputs[key].shape),\n        outputShapes: outputs.map(item => item.shape)\n      });\n    }\n    return (Array.isArray(out) ? outputs : outputs[0]) as T;\n  }\n\n  /**\n   * Saves tensors used in forward mode for use in backward mode.\n   *\n   * @param tensors the list of tensors to save.\n   */\n  private saveTensorsForBackwardMode(tensors: Tensor[]): Tensor[] {\n    const saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n    return saved;\n  }\n\n  /**\n   * Returns a list of tensors to save for a given gradient calculation.\n   *\n   * Returns undefined if their is no registered gradient for this kernel in the\n   * gradient registry.\n   *\n   * @param kernelName name of kernel to look up gradient for.\n   * @param inputs a map of input tensors.\n   * @param outputs an array of output tensors from forward mode of kernel.\n   */\n  private getTensorsForGradient(\n      kernelName: string, inputs: NamedTensorMap,\n      outputs: Tensor[]): Tensor[]|null {\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      const inputsToSave: string[] = gradConfig.inputsToSave || [];\n      const outputsToSave: boolean[] = gradConfig.outputsToSave || [];\n\n      // If saveAllInputs is true, all inputs will be saved. Otherwise, inputs\n      // specified in inputsToSave will be saved.\n      let inputTensorsToSave: Tensor[];\n      if (gradConfig.saveAllInputs) {\n        util.assert(\n            Array.isArray(inputs),\n            () => 'saveAllInputs is true, expected inputs to be an array.');\n\n        inputTensorsToSave = Object.keys(inputs).map((key) => inputs[key]);\n      } else {\n        inputTensorsToSave = inputsToSave.map((inputName) => inputs[inputName]);\n      }\n\n      const outputTensorsToSave: Tensor[] =\n          outputs.filter((_, i) => outputsToSave[i]);\n\n      return inputTensorsToSave.concat(outputTensorsToSave);\n    }\n    // TODO(yassogba) throw exception here once all runkernelFunc calls with\n    // inputsToSave/outputsToSave are removed\n    return null;\n  }\n\n  /**\n   * Internal method used by public APIs for tensor creation. Makes a new\n   * tensor with the provided shape, dtype and values. It always\n   * creates a new data id and writes the values to the underlying backend.\n   */\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    if (values == null) {\n      throw new Error('Values passed to engine.makeTensor() are null');\n    }\n    dtype = dtype || 'float32';\n    backend = backend || this.backend;\n    let backendVals = values as BackendValues;\n    if (dtype === 'string' && util.isString(values[0])) {\n      backendVals = (values as string[]).map(d => util.encodeString(d));\n    }\n    const dataId = backend.write(backendVals, shape, dtype);\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n\n    // Count bytes for string tensors.\n    if (dtype === 'string') {\n      const info = this.state.tensorInfo.get(dataId);\n      const newBytes = bytesFromStringArray(backendVals as Uint8Array[]);\n      this.state.numBytes += newBytes - info.bytes;\n      info.bytes = newBytes;\n    }\n    return t;\n  }\n\n  /**\n   * Internal method used by backends. Makes a new tensor\n   * that is a wrapper around an existing data id. It doesn't create\n   * a new data id, only increments the ref count used in memory tracking.\n   */\n  makeTensorFromDataId(\n      dataId: DataId, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    dtype = dtype || 'float32';\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n    return t;\n  }\n\n  makeVariable(\n      initialValue: Tensor, trainable = true, name?: string,\n      dtype?: DataType): Variable {\n    name = name || this.nextVariableId().toString();\n    if (dtype != null && dtype !== initialValue.dtype) {\n      initialValue = initialValue.asType(dtype);\n    }\n    const v = new Variable(initialValue, trainable, name, this.nextTensorId());\n    if (this.state.registeredVariables[v.name] != null) {\n      throw new Error(`Variable with name ${v.name} was already registered`);\n    }\n    this.state.registeredVariables[v.name] = v;\n    this.incRef(v, this.backend);\n    return v;\n  }\n\n  incRef(a: Tensor, backend: KernelBackend): void {\n    const refCount = this.state.tensorInfo.has(a.dataId) ?\n        this.state.tensorInfo.get(a.dataId).refCount :\n        0;\n    this.state.numTensors++;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors++;\n    }\n    if (refCount === 0) {\n      this.state.numDataBuffers++;\n\n      // Bytes for complex numbers are counted by their components. Bytes for\n      // string tensors are counted when writing values.\n      let bytes = 0;\n      if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n        bytes = a.size * util.bytesPerElement(a.dtype);\n      }\n      this.state.tensorInfo.set(a.dataId, {\n        backend: backend || this.backend,\n        dtype: a.dtype,\n        shape: a.shape,\n        bytes,\n        refCount: 0\n      });\n      this.state.numBytes += bytes;\n    }\n    this.state.tensorInfo.get(a.dataId).refCount++;\n    if (!(a instanceof Variable)) {\n      this.track(a);\n    }\n  }\n\n  disposeTensor(a: Tensor): void {\n    if (!this.state.tensorInfo.has(a.dataId)) {\n      return;\n    }\n\n    this.state.numTensors--;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors--;\n    }\n    const info = this.state.tensorInfo.get(a.dataId);\n    const refCount = info.refCount;\n    if (refCount <= 1) {\n      // Don't count bytes for complex numbers as they are counted by their\n      // components.\n      if (a.dtype !== 'complex64') {\n        this.state.numBytes -= info.bytes;\n      }\n      this.state.numDataBuffers--;\n      info.backend.disposeData(a.dataId);\n      this.state.tensorInfo.delete(a.dataId);\n    } else {\n      this.state.tensorInfo.get(a.dataId).refCount--;\n    }\n    // TODO(nsthorat): Construct an error and save the stack trace for\n    // debugging when in debug mode. Creating a stack trace is too expensive\n    // to do unconditionally.\n  }\n\n  disposeVariables(): void {\n    for (const varName in this.state.registeredVariables) {\n      const v = this.state.registeredVariables[varName];\n      this.disposeVariable(v);\n    }\n  }\n\n  disposeVariable(v: Variable): void {\n    this.disposeTensor(v);\n    if (this.state.registeredVariables[v.name] != null) {\n      delete this.state.registeredVariables[v.name];\n    }\n  }\n\n  memory(): MemoryInfo {\n    const info = this.backend.memory() as MemoryInfo;\n    info.numTensors = this.state.numTensors;\n    info.numDataBuffers = this.state.numDataBuffers;\n    info.numBytes = this.state.numBytes;\n    if (this.state.numStringTensors > 0) {\n      info.unreliable = true;\n      if (info.reasons == null) {\n        info.reasons = [];\n      }\n      info.reasons.push(\n          'Memory usage by string tensors is approximate ' +\n          '(2 bytes per character)');\n    }\n    return info;\n  }\n\n  async profile(query: () => TensorContainer): Promise<ProfileInfo> {\n    this.state.profiling = true;\n\n    const startBytes = this.state.numBytes;\n    const startNumTensors = this.state.numTensors;\n\n    this.state.activeProfile.kernels = [];\n    this.state.activeProfile.result = query();\n\n    this.state.profiling = false;\n\n    this.state.activeProfile.peakBytes = Math.max(\n        ...this.state.activeProfile.kernels.map(d => d.totalBytesSnapshot));\n    this.state.activeProfile.newBytes = this.state.numBytes - startBytes;\n    this.state.activeProfile.newTensors =\n        this.state.numTensors - startNumTensors;\n    return this.state.activeProfile;\n  }\n\n  isTapeOn(): boolean {\n    return this.state.gradientDepth > 0 && this.state.kernelDepth === 0;\n  }\n\n  private addTapeNode(\n      kernelName: string, inputs: NamedTensorMap, outputs: Tensor[],\n      gradientsFunc: GradFunc, saved: Tensor[], attrs: NamedAttrMap): void {\n    const tapeNode: TapeNode =\n        {id: this.state.nextTapeNodeId++, kernelName, inputs, outputs, saved};\n\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      gradientsFunc = gradConfig.gradFunc;\n    }\n    if (gradientsFunc != null) {\n      tapeNode.gradient = (dys: Tensor[]) => {\n        // TODO(smilkov): To optimize back-prop, pass dys that are not used in\n        // the backprop graph to the user as null instead of zeros\n        dys = dys.map((dy, i) => {\n          if (dy == null) {\n            const output = outputs[i];\n            const vals = util.makeZerosTypedArray(output.size, output.dtype);\n            return this.makeTensor(vals, output.shape, output.dtype);\n          }\n          return dy;\n        });\n        // Grad functions of ops with single outputs expect a dy, while ops\n        // with multiple outputs expect dys (array of dy).\n        return gradientsFunc(dys.length > 1 ? dys : dys[0], saved, attrs);\n      };\n    }\n    this.state.activeTape.push(tapeNode);\n  }\n\n  keep<T extends Tensor>(result: T): T {\n    result.kept = true;\n    return result;\n  }\n\n  private startTape() {\n    if (this.state.gradientDepth === 0) {\n      this.state.activeTape = [];\n    }\n    this.state.gradientDepth++;\n  }\n\n  private endTape() {\n    this.state.gradientDepth--;\n  }\n\n  /**\n   * Start a scope. Use this with endScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  startScope(name?: string) {\n    const scopeInfo: ScopeState = {\n      track: [],\n      name: 'unnamed scope',\n      id: this.state.nextScopeId++\n    };\n    if (name) {\n      scopeInfo.name = name;\n    }\n    this.state.scopeStack.push(scopeInfo);\n    this.state.activeScope = scopeInfo;\n  }\n\n  /**\n   * End a scope. Use this with startScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  endScope(result?: TensorContainer) {\n    const tensorsToTrackInParent = getTensorsInContainer(result);\n    const tensorsToTrackInParentSet =\n        new Set(tensorsToTrackInParent.map(t => t.id));\n\n    // Dispose the arrays tracked in this scope.\n    for (let i = 0; i < this.state.activeScope.track.length; i++) {\n      const tensor = this.state.activeScope.track[i];\n      if (!tensor.kept && !tensorsToTrackInParentSet.has(tensor.id)) {\n        tensor.dispose();\n      }\n    }\n\n    const oldScope = this.state.scopeStack.pop();\n    this.state.activeScope = this.state.scopeStack.length === 0 ?\n        null :\n        this.state.scopeStack[this.state.scopeStack.length - 1];\n\n    // Track the current result in the parent scope.\n    tensorsToTrackInParent.forEach(tensor => {\n      // Only track the tensor if was allocated in the inner scope and is not\n      // globally kept.\n      if (!tensor.kept && tensor.scopeId === oldScope.id) {\n        this.track(tensor);\n      }\n    });\n  }\n\n  /**\n   * Returns gradients of `f` with respect to each of the `xs`. The gradients\n   * returned are of the same length as `xs`, but some might be null if `f`\n   * was not a function of that `x`. It also takes optional dy to multiply the\n   * gradient, which defaults to `1`.\n   */\n  gradients<T extends Tensor>(\n      f: () => T, xs: Tensor[], dy?: T,\n      allowNoGradients = false): {value: T, grads: Tensor[]} {\n    util.assert(\n        xs.length > 0, () => 'gradients() received an empty list of xs.');\n    if (dy != null && dy.dtype !== 'float32') {\n      throw new Error(`dy must have 'float32' dtype, but has '${dy.dtype}'`);\n    }\n\n    const y = this.scopedRun(\n        () => this.startTape(), () => this.endTape(),\n        () => this.tidy('forward', f));\n\n    util.assert(\n        y instanceof Tensor,\n        () => 'The result y returned by f() must be a tensor.');\n    // Filter out the nodes that don't connect x => y.\n    const filteredTape = getFilteredNodesXToY(this.state.activeTape, xs, y);\n    if (!allowNoGradients && filteredTape.length === 0 && xs.length > 0) {\n      throw new Error(\n          'Cannot compute gradient of y=f(x) with respect to x. Make sure ' +\n          'that the f you passed encloses all operations that lead from x ' +\n          'to y.');\n    }\n\n    return this.tidy('backward', () => {\n      const accumulatedGradientMap: {[tensorId: number]: Tensor} = {};\n      accumulatedGradientMap[y.id] = (dy == null) ? ones(y.shape) : dy;\n\n      // Backprop gradients through the filtered nodes.\n      backpropagateGradients(\n          accumulatedGradientMap, filteredTape,\n          // Pass the tidy function to avoid circular dep with `tape.ts`.\n          f => this.tidy(f as ScopeFn<Tensor>));\n      const grads = xs.map(x => accumulatedGradientMap[x.id]);\n\n      if (this.state.gradientDepth === 0) {\n        // This means that we are not computing higher-order gradients\n        // and can clean up the tape.\n        this.state.activeTape.forEach(node => {\n          for (const tensor of node.saved) {\n            tensor.dispose();\n          }\n        });\n        this.state.activeTape = null;\n      }\n      return {value: y, grads};\n    });\n  }\n\n  customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n      (...args: Array<Tensor|GradSaveFunc>) => T {\n    util.assert(\n        util.isFunction(f),\n        () => 'The f passed in customGrad(f) must be a function.');\n    return (...inputs: Tensor[]): T => {\n      util.assert(\n          inputs.every(t => t instanceof Tensor),\n          () => 'The args passed in customGrad(f)(x1, x2,...) must all be ' +\n              'tensors');\n\n      let res: {\n        value: T,\n        gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[],\n      };\n      const inputMap: NamedTensorMap = {};\n      inputs.forEach((input, i) => {\n        inputMap[i] = input;\n      });\n      return this.runKernelFunc(\n          (_, save) => {\n            res = f(...[...inputs, save]);\n            util.assert(\n                res.value instanceof Tensor,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.value` is a tensor');\n            util.assert(\n                util.isFunction(res.gradFunc),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function.');\n            return res.value;\n          },\n          inputMap,\n          (dy: T, saved: Tensor[]) => {\n            const gradRes = res.gradFunc(dy, saved);\n            const grads: Tensor[] =\n                Array.isArray(gradRes) ? gradRes : [gradRes];\n            util.assert(\n                grads.length === inputs.length,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'the same number of tensors as inputs passed to f(...).');\n            util.assert(\n                grads.every(t => t instanceof Tensor),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'a list of only tensors.');\n            const gradMap: {[key: string]: () => Tensor} = {};\n            grads.forEach((grad, i) => {\n              gradMap[i] = () => grad;\n            });\n            return gradMap;\n          });\n    };\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.readSync(dataId);\n  }\n  read(dataId: DataId): Promise<BackendValues> {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.read(dataId);\n  }\n\n  async time(query: () => void): Promise<TimingInfo> {\n    const start = now();\n    const timingInfo = await this.backend.time(query) as TimingInfo;\n    timingInfo.wallMs = now() - start;\n    return timingInfo;\n  }\n\n  /**\n   * Tracks a Tensor in the current scope to be automatically cleaned up\n   * when the current scope ends, and returns the value.\n   *\n   * @param result The Tensor to track in the current scope.\n   */\n  private track<T extends Tensor>(result: T): T {\n    if (this.state.activeScope != null) {\n      result.scopeId = this.state.activeScope.id;\n      this.state.activeScope.track.push(result);\n    }\n\n    return result;\n  }\n\n  get registeredVariables(): NamedVariableMap {\n    return this.state.registeredVariables;\n  }\n\n  /**\n   * Resets the engine state. Removes all backends but does not remove\n   * registered backend factories.\n   */\n  reset(): void {\n    // Make any pending promise obsolete.\n    this.pendingBackendInitId++;\n\n    this.state.dispose();\n    this.ENV.reset();\n    this.state = new EngineState();\n\n    for (const backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n    this.backendName = null;\n    this.backendInstance = null;\n    this.pendingBackendInit = null;\n  }\n}\n\nfunction ones(shape: number[]): Tensor {\n  const values = makeOnesTypedArray(sizeFromShape(shape), 'float32');\n  return ENGINE.makeTensor(values, shape, 'float32');\n}\n\nlet GLOBAL: {_tfengine: Engine};\nfunction getGlobalNamespace(): {_tfengine: Engine} {\n  if (GLOBAL == null) {\n    // tslint:disable-next-line:no-any\n    let ns: any;\n    if (typeof (window) !== 'undefined') {\n      ns = window;\n    } else if (typeof (global) !== 'undefined') {\n      ns = global;\n    } else if (typeof (process) !== 'undefined') {\n      ns = process;\n    } else if (typeof (self) !== 'undefined') {\n      ns = self;\n    } else {\n      throw new Error('Could not find a global object');\n    }\n    GLOBAL = ns;\n  }\n  return GLOBAL;\n}\n\nfunction getOrMakeEngine(): Engine {\n  const ns = getGlobalNamespace();\n  if (ns._tfengine == null) {\n    const environment = new Environment(ns);\n    ns._tfengine = new Engine(environment);\n  }\n  setEnvironmentGlobal(ns._tfengine.ENV);\n\n  // Tell the current tensor interface that the global engine is responsible\n  // for tracking.\n  setTensorTracker(() => ns._tfengine);\n  return ns._tfengine;\n}\n\nexport const ENGINE = getOrMakeEngine();\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport * as util from './util';\n\nexport interface TapeNode {\n  id: number;\n  kernelName: string;\n  outputs: Tensor[];\n  inputs: NamedTensorMap;\n  // Optional params, defined only for ops with gradient impl.\n  gradient?: (dys: Tensor[]) => NamedGradientMap;\n  saved?: Tensor[];\n}\n\nexport type NamedGradientMap = {\n  [inputName: string]: () => Tensor;\n};\n\n/**\n * Computes a list of TapeNodes that connect x to y, filtering everything else\n * out and preserving the order of the original tape elements.\n *\n * @param tape The tape elements to filter.\n * @param xs The input Tensors.\n * @param y The output Tensor.\n */\nexport function getFilteredNodesXToY(\n    tape: TapeNode[], xs: Tensor[], y: Tensor): TapeNode[] {\n  // Forward pass to compute all the nodes and Tensors that are transitively a\n  // function of x.\n  const tensorsFromX: {[tensorId: number]: boolean} = {};\n  const nodesFromX: {[nodeId: number]: boolean} = {};\n  for (let i = 0; i < xs.length; i++) {\n    tensorsFromX[xs[i].id] = true;\n  }\n\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n    for (const inputName in nodeInputs) {\n      const input = nodeInputs[inputName];\n\n      let anyInputFromX = false;\n      for (let j = 0; j < xs.length; j++) {\n        if (tensorsFromX[input.id]) {\n          node.outputs.forEach(output => tensorsFromX[output.id] = true);\n          anyInputFromX = true;\n          nodesFromX[node.id] = true;\n          break;\n        }\n      }\n\n      if (anyInputFromX) {\n        break;\n      }\n    }\n  }\n\n  // Backward pass to find all of the nodes and Tensors that lead to y.\n  const tensorsLeadToY: {[tensorId: number]: boolean} = {};\n  tensorsLeadToY[y.id] = true;\n  const nodesToY: {[nodeId: number]: boolean} = {};\n\n  for (let i = tape.length - 1; i >= 0; i--) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n\n    // If any of the outputs lead to y, mark all of the inputs as leading to y.\n    for (let j = 0; j < node.outputs.length; j++) {\n      if (tensorsLeadToY[node.outputs[j].id]) {\n        for (const inputName in nodeInputs) {\n          tensorsLeadToY[nodeInputs[inputName].id] = true;\n          nodesToY[node.id] = true;\n        }\n        break;\n      }\n    }\n  }\n\n  // Return the paths that come from x and lead to y.\n  const filteredTape: TapeNode[] = [];\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n\n    if (nodesFromX[node.id] && nodesToY[node.id]) {\n      // Prune the inputs from the node that aren't a function of x.\n      const prunedInputs: {[inputName: string]: Tensor} = {};\n      for (const inputName in node.inputs) {\n        const nodeInput = node.inputs[inputName];\n        if (tensorsFromX[nodeInput.id]) {\n          prunedInputs[inputName] = nodeInput;\n        }\n      }\n\n      // Copy the node and overwrite inputsAndArgs to the pruned version.\n      const prunedNode = Object.assign({}, node);\n      prunedNode.inputs = prunedInputs;\n      prunedNode.outputs = node.outputs;\n\n      filteredTape.push(prunedNode);\n    }\n  }\n\n  return filteredTape;\n}\n\n/**\n * Backpropagate gradients through the filtered TapeNodes.\n *\n * @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map\n * is mutated by this method.\n * @param filteredTape The filtered TapeNodes to backprop through.\n */\nexport function backpropagateGradients(\n    tensorAccumulatedGradientMap: {[tensorId: number]: Tensor},\n    filteredTape: TapeNode[], tidy: (f: Function) => Tensor) {\n  // Walk the tape backward and keep a map of Tensor to its gradient.\n  for (let i = filteredTape.length - 1; i >= 0; i--) {\n    const node = filteredTape[i];\n\n    const dys: Tensor[] = [];\n    node.outputs.forEach(o => {\n      const gradTensor = tensorAccumulatedGradientMap[o.id];\n      if (gradTensor != null) {\n        dys.push(gradTensor);\n      } else {\n        // This particular output is not in the back-propagation subgraph, so it\n        // does not affect the final output, thus we put null for its dy.\n        dys.push(null);\n      }\n    });\n\n    if (node.gradient == null) {\n      throw new Error(\n          `Cannot compute gradient: gradient function not found ` +\n          `for ${node.kernelName}.`);\n    }\n\n    // Backprop dy through this node and accumulate gradients over the inputs.\n    const inputGradients = node.gradient(dys);\n\n    for (const inputName in node.inputs) {\n      if (!(inputName in inputGradients)) {\n        throw new Error(\n            `Cannot backprop through input ${inputName}. ` +\n            `Available gradients found: ${Object.keys(inputGradients)}.`);\n      }\n\n      // Call the gradient function.\n      const dx = tidy(() => inputGradients[inputName]());\n      if (dx.dtype !== 'float32') {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `${inputName} must have 'float32' dtype, but has '${dx.dtype}'`);\n      }\n      const x = node.inputs[inputName];\n      if (!util.arraysEqual(dx.shape, x.shape)) {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `'${inputName}' has shape '${dx.shape}', which does not match ` +\n            `the shape of the input '${x.shape}'`);\n      }\n\n      if (tensorAccumulatedGradientMap[x.id] == null) {\n        tensorAccumulatedGradientMap[x.id] = dx;\n      } else {\n        const curGradient = tensorAccumulatedGradientMap[x.id];\n        tensorAccumulatedGradientMap[x.id] = curGradient.add(dx);\n        curGradient.dispose();\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function isMobile(): boolean {\n  // tslint:disable-next-line:no-any\n  const a = navigator.userAgent || navigator.vendor || (window as any).opera;\n  // tslint:disable-next-line:max-line-length\n  return /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i\n             .test(a) ||\n      // tslint:disable-next-line:max-line-length\n      /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i\n          .test(a.substr(0, 4));\n}\n\nexport function isBrowser(): boolean {\n  return (typeof window !== 'undefined' && window.document != null) ||\n      //@ts-ignore\n      (typeof WorkerGlobalScope !== 'undefined');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport * as device_util from './device_util';\nimport {env} from './environment';\n\nconst ENV = env();\n\n/**\n * This file contains environment-related flag registrations.\n */\n\n/** Whether to enable debug mode. */\nENV.registerFlag('DEBUG', () => false, debugValue => {\n  if (debugValue) {\n    console.warn(\n        'Debugging mode is ON. The output of every math call will ' +\n        'be downloaded to CPU and checked for NaNs. ' +\n        'This significantly impacts performance.');\n  }\n});\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_BROWSER', () => device_util.isBrowser());\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag(\n    'IS_NODE',\n    () => (typeof process !== 'undefined') &&\n        (typeof process.versions !== 'undefined') &&\n        (typeof process.versions.node !== 'undefined'));\n\n/** Whether this browser is Chrome. */\nENV.registerFlag(\n    'IS_CHROME',\n    () => typeof navigator !== 'undefined' && navigator != null &&\n        navigator.userAgent != null && /Chrome/.test(navigator.userAgent) &&\n        /Google Inc/.test(navigator.vendor));\n\n/**\n * True when the environment is \"production\" where we disable safety checks\n * to gain performance.\n */\nENV.registerFlag('PROD', () => false);\n\n/**\n * Whether to do sanity checks when inferring a shape from user-provided\n * values, used when creating a new tensor.\n */\nENV.registerFlag(\n    'TENSORLIKE_CHECK_SHAPE_CONSISTENCY', () => ENV.getBool('DEBUG'));\n\n/** Whether deprecation warnings are enabled. */\nENV.registerFlag('DEPRECATION_WARNINGS_ENABLED', () => true);\n\n/** True if running unit tests. */\nENV.registerFlag('IS_TEST', () => false);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst contexts: {[key: string]: WebGLRenderingContext} = {};\n\nconst WEBGL_ATTRIBUTES: WebGLContextAttributes = {\n  alpha: false,\n  antialias: false,\n  premultipliedAlpha: false,\n  preserveDrawingBuffer: false,\n  depth: false,\n  stencil: false,\n  failIfMajorPerformanceCaveat: true\n};\n\nexport function setWebGLContext(\n    webGLVersion: number, gl: WebGLRenderingContext) {\n  contexts[webGLVersion] = gl;\n}\n\nexport function getWebGLContext(webGLVersion: number): WebGLRenderingContext {\n  if (!(webGLVersion in contexts)) {\n    contexts[webGLVersion] = getWebGLRenderingContext(webGLVersion);\n  }\n  const gl = contexts[webGLVersion];\n  if (gl.isContextLost()) {\n    delete contexts[webGLVersion];\n    return getWebGLContext(webGLVersion);\n  }\n\n  gl.disable(gl.DEPTH_TEST);\n  gl.disable(gl.STENCIL_TEST);\n  gl.disable(gl.BLEND);\n  gl.disable(gl.DITHER);\n  gl.disable(gl.POLYGON_OFFSET_FILL);\n  gl.disable(gl.SAMPLE_COVERAGE);\n  gl.enable(gl.SCISSOR_TEST);\n  gl.enable(gl.CULL_FACE);\n  gl.cullFace(gl.BACK);\n\n  return contexts[webGLVersion];\n}\n\nfunction createCanvas(webGLVersion: number) {\n  if (typeof OffscreenCanvas !== 'undefined' && webGLVersion === 2) {\n    return new OffscreenCanvas(300, 150);\n  } else if (typeof document !== 'undefined') {\n    return document.createElement('canvas');\n  } else {\n    throw new Error('Cannot create a canvas in this context');\n  }\n}\n\nfunction getWebGLRenderingContext(webGLVersion: number): WebGLRenderingContext {\n  if (webGLVersion !== 1 && webGLVersion !== 2) {\n    throw new Error('Cannot get WebGL rendering context, WebGL is disabled.');\n  }\n  const canvas = createCanvas(webGLVersion);\n\n  canvas.addEventListener('webglcontextlost', (ev: Event) => {\n    ev.preventDefault();\n    delete contexts[webGLVersion];\n  }, false);\n  if (webGLVersion === 1) {\n    return (canvas.getContext('webgl', WEBGL_ATTRIBUTES) ||\n            canvas.getContext('experimental-webgl', WEBGL_ATTRIBUTES)) as\n        WebGLRenderingContext;\n  }\n  return canvas.getContext('webgl2', WEBGL_ATTRIBUTES) as WebGLRenderingContext;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {DataId, Tensor} from '../../tensor';\nimport {BackendValues, DataType} from '../../types';\nimport * as util from '../../util';\n\nexport enum PackingScheme {\n  /**\n   * All values in a single texel are densely packed without any constraints.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 4]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   010|011   020|021\n   * -------   -------   -------\n   * 002|003   012|013   022|023\n   *\n   * 100|101   110|111   120|121\n   * -------   -------   -------\n   * 102|103   112|113   122|123\n   *\n   */\n  DENSE,\n\n  /**\n   * Single texels contain only values from the same batch, and from adjacent\n   * rows and columns.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 5]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   002|003   004|xxx   020|021   022|023   024|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   * 100|101   102|103   104|xxx   120|121   122|123   124|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   */\n  SHARED_BATCH\n}\n\nexport enum TextureUsage {\n  RENDER,\n  UPLOAD,\n  PIXELS,\n  DOWNLOAD\n}\n\nexport enum PhysicalTextureType {\n  UNPACKED_FLOAT16,\n  UNPACKED_FLOAT32,\n  PACKED_4X1_UNSIGNED_BYTE,\n  PACKED_2X2_FLOAT32,\n  PACKED_2X2_FLOAT16\n}\n\nexport interface TextureData {\n  // Required.\n  shape: number[];\n  dtype: DataType;\n\n  // Optional.\n  values?: BackendValues;\n  texture?: WebGLTexture;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field. When this is defined, texture will be null.\n  complexTensors?: {real: Tensor, imag: Tensor};\n  /** [rows, columns] shape of the texture. */\n  texShape?: [number, number];\n  usage?: TextureUsage;\n  isPacked?: boolean;\n\n  // Available when the tensor has been sliced.\n  slice?: {\n    // Offset in the 'flat index' space.\n    flatOffset: number;\n    // Used for counting how many sliced tensors point to the same texture.\n    origDataId: DataId;\n  };\n}\n\nexport function getUnpackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns, rows];\n}\n\nexport function getUnpackedArraySizeFromMatrixSize(\n    matrixSize: number, channelsPerTexture: number): number {\n  return matrixSize * channelsPerTexture;\n}\n\nexport function getColorMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns * 4, rows];\n}\n\n/**\n * Get shape for densely packed RGBA texture.\n */\nexport function getDenseTexShape(shape: number[]): [number, number] {\n  const size = util.sizeFromShape(shape);\n  const texelsNeeded = Math.ceil(size / 4);\n  return util.sizeToSquarishShape(texelsNeeded);\n}\n\nexport function getMatrixSizeFromUnpackedArraySize(\n    unpackedSize: number, channelsPerTexture: number): number {\n  if (unpackedSize % channelsPerTexture !== 0) {\n    throw new Error(\n        `unpackedSize (${unpackedSize}) must be a multiple of ` +\n        `${channelsPerTexture}`);\n  }\n  return unpackedSize / channelsPerTexture;\n}\n\nexport function decodeMatrixFromUnpackedColorRGBAArray(\n    unpackedArray: Float32Array, matrix: Float32Array, channels: number) {\n  const requiredSize = unpackedArray.length * channels / 4;\n  if (matrix.length < requiredSize) {\n    throw new Error(\n        `matrix length (${matrix.length}) must be >= ${requiredSize}`);\n  }\n  let dst = 0;\n  for (let src = 0; src < unpackedArray.length; src += 4) {\n    for (let c = 0; c < channels; c++) {\n      matrix[dst++] = unpackedArray[src + c];\n    }\n  }\n}\n\nexport function getPackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [\n    Math.max(1, Math.ceil(columns / 2)), Math.max(1, Math.ceil(rows / 2))\n  ];\n}\n\nexport function getPackedRGBAArraySizeFromMatrixShape(\n    rows: number, columns: number): number {\n  const [w, h] = getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return w * h * 4;\n}\n\nexport interface TextureConfig {\n  internalFormatFloat: number;\n  textureFormatFloat: number;\n  internalFormatPackedHalfFloat: number;\n  internalFormatHalfFloat: number;\n  internalFormatPackedFloat: number;\n\n  // The format to use during a gl.readPixels call.\n  downloadTextureFormat: number;\n  // How many channels need to be unpacked after a gl.readPixels call.\n  downloadUnpackNumChannels: number;\n\n  defaultNumChannels: number;\n  textureTypeHalfFloat: number;\n  textureTypeFloat: number;\n}\n\nexport function getTextureConfig(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension?: any): TextureConfig {\n  // tslint:disable-next-line:no-any\n  const glany = gl as any;\n\n  let internalFormatFloat: number;\n  let internalFormatHalfFloat: number;\n  let internalFormatPackedHalfFloat: number;\n  let internalFormatPackedFloat: number;\n  let textureFormatFloat: number;\n\n  let downloadTextureFormat: number;\n  let downloadUnpackNumChannels: number;\n\n  let defaultNumChannels: number;\n  let textureTypeHalfFloat: number;\n  let textureTypeFloat: number;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    internalFormatFloat = glany.R32F;\n    internalFormatHalfFloat = glany.R16F;\n    internalFormatPackedHalfFloat = glany.RGBA16F;\n    internalFormatPackedFloat = glany.RGBA32F;\n    textureFormatFloat = glany.RED;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 1;\n    textureTypeHalfFloat = glany.HALF_FLOAT;\n    textureTypeFloat = glany.FLOAT;\n  } else {\n    internalFormatFloat = gl.RGBA;\n    internalFormatHalfFloat = gl.RGBA;\n    internalFormatPackedHalfFloat = gl.RGBA;\n    internalFormatPackedFloat = glany.RGBA;\n    textureFormatFloat = gl.RGBA;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 4;\n    textureTypeHalfFloat = textureHalfFloatExtension != null ?\n        textureHalfFloatExtension.HALF_FLOAT_OES :\n        null;\n    textureTypeFloat = gl.FLOAT;\n  }\n  downloadTextureFormat = gl.RGBA;\n\n  return {\n    internalFormatFloat,\n    internalFormatHalfFloat,\n    internalFormatPackedHalfFloat,\n    internalFormatPackedFloat,\n    textureFormatFloat,\n    downloadTextureFormat,\n    downloadUnpackNumChannels,\n    defaultNumChannels,\n    textureTypeHalfFloat,\n    textureTypeFloat\n  };\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport * as util from '../../util';\n\nimport {getWebGLContext} from './canvas_util';\nimport {getTextureConfig} from './tex_util';\n\nexport function callAndCheck<T>(\n    gl: WebGLRenderingContext, debugMode: boolean, func: () => T): T {\n  const returnValue = func();\n  if (debugMode) {\n    checkWebGLError(gl);\n  }\n  return returnValue;\n}\n\nfunction checkWebGLError(gl: WebGLRenderingContext) {\n  const error = gl.getError();\n  if (error !== gl.NO_ERROR) {\n    throw new Error('WebGL Error: ' + getWebGLErrorMessage(gl, error));\n  }\n}\n\n// https://en.wikipedia.org/wiki/Half-precision_floating-point_format\nconst MIN_FLOAT16 = 5.96e-8;\nconst MAX_FLOAT16 = 65504;\n\nexport function canBeRepresented(num: number): boolean {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED') || num === 0 ||\n      (MIN_FLOAT16 < Math.abs(num) && Math.abs(num) < MAX_FLOAT16)) {\n    return true;\n  }\n  return false;\n}\n\nexport function getWebGLErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.NO_ERROR:\n      return 'NO_ERROR';\n    case gl.INVALID_ENUM:\n      return 'INVALID_ENUM';\n    case gl.INVALID_VALUE:\n      return 'INVALID_VALUE';\n    case gl.INVALID_OPERATION:\n      return 'INVALID_OPERATION';\n    case gl.INVALID_FRAMEBUFFER_OPERATION:\n      return 'INVALID_FRAMEBUFFER_OPERATION';\n    case gl.OUT_OF_MEMORY:\n      return 'OUT_OF_MEMORY';\n    case gl.CONTEXT_LOST_WEBGL:\n      return 'CONTEXT_LOST_WEBGL';\n    default:\n      return `Unknown error code ${status}`;\n  }\n}\n\nexport function getExtensionOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, extensionName: string): {} {\n  return throwIfNull<{}>(\n      gl, debug, () => gl.getExtension(extensionName),\n      'Extension \"' + extensionName + '\" not supported on this browser.');\n}\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    vertexShaderSource: string): WebGLShader {\n  const vertexShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.VERTEX_SHADER),\n      'Unable to create vertex WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(vertexShader, vertexShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(vertexShader));\n  if (gl.getShaderParameter(vertexShader, gl.COMPILE_STATUS) === false) {\n    console.log(gl.getShaderInfoLog(vertexShader));\n    throw new Error('Failed to compile vertex shader.');\n  }\n  return vertexShader;\n}\n\nexport function createFragmentShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    fragmentShaderSource: string): WebGLShader {\n  const fragmentShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.FRAGMENT_SHADER),\n      'Unable to create fragment WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(fragmentShader, fragmentShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(fragmentShader));\n  if (gl.getShaderParameter(fragmentShader, gl.COMPILE_STATUS) === false) {\n    logShaderSourceAndInfoLog(\n        fragmentShaderSource, gl.getShaderInfoLog(fragmentShader));\n    throw new Error('Failed to compile fragment shader.');\n  }\n  return fragmentShader;\n}\n\nconst lineNumberRegex = /ERROR: [0-9]+:([0-9]+):/g;\nfunction logShaderSourceAndInfoLog(\n    shaderSource: string, shaderInfoLog: string) {\n  const lineNumberRegexResult = lineNumberRegex.exec(shaderInfoLog);\n  if (lineNumberRegexResult == null) {\n    console.log(`Couldn't parse line number in error: ${shaderInfoLog}`);\n    console.log(shaderSource);\n    return;\n  }\n\n  const lineNumber = +lineNumberRegexResult[1];\n\n  const shaderLines = shaderSource.split('\\n');\n  const pad = shaderLines.length.toString().length + 2;\n  const linesWithLineNumbers = shaderLines.map(\n      (line, lineNumber) =>\n          util.rightPad((lineNumber + 1).toString(), pad) + line);\n  let maxLineLength = 0;\n  for (let i = 0; i < linesWithLineNumbers.length; i++) {\n    maxLineLength = Math.max(linesWithLineNumbers[i].length, maxLineLength);\n  }\n\n  const beforeErrorLines = linesWithLineNumbers.slice(0, lineNumber - 1);\n  const errorLine = linesWithLineNumbers.slice(lineNumber - 1, lineNumber);\n  const afterErrorLines = linesWithLineNumbers.slice(lineNumber);\n\n  console.log(beforeErrorLines.join('\\n'));\n  console.log(shaderInfoLog.split('\\n')[0]);\n  console.log(\n      `%c ${util.rightPad(errorLine[0], maxLineLength)}`,\n      'border:1px solid red; background-color:#e3d2d2; color:#a61717');\n  console.log(afterErrorLines.join('\\n'));\n}\n\nexport function createProgram(\n    gl: WebGLRenderingContext, debug: boolean): WebGLProgram {\n  return throwIfNull<WebGLProgram>(\n      gl, debug, () => gl.createProgram(), 'Unable to create WebGLProgram.');\n}\n\nexport function linkProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.linkProgram(program));\n  if (gl.getProgramParameter(program, gl.LINK_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Failed to link vertex and fragment shaders.');\n  }\n}\n\nexport function validateProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.validateProgram(program));\n  if (gl.getProgramParameter(program, gl.VALIDATE_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Shader program validation failed.');\n  }\n}\n\nexport function createStaticVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean,\n    data: Float32Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug, () => gl.bufferData(gl.ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function createStaticIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean, data: Uint16Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.bufferData(gl.ELEMENT_ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function getNumChannels(): number {\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    return 1;\n  }\n  return 4;\n}\n\nexport function createTexture(\n    gl: WebGLRenderingContext, debug: boolean): WebGLTexture {\n  return throwIfNull<WebGLTexture>(\n      gl, debug, () => gl.createTexture(), 'Unable to create WebGLTexture.');\n}\n\nexport function validateTextureSize(width: number, height: number) {\n  const maxTextureSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if ((width <= 0) || (height <= 0)) {\n    const requested = `[${width}x${height}]`;\n    throw new Error('Requested texture size ' + requested + ' is invalid.');\n  }\n  if ((width > maxTextureSize) || (height > maxTextureSize)) {\n    const requested = `[${width}x${height}]`;\n    const max = `[${maxTextureSize}x${maxTextureSize}]`;\n    throw new Error(\n        'Requested texture size ' + requested +\n        ' greater than WebGL maximum on this browser / GPU ' + max + '.');\n  }\n}\n\nexport function createFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLFramebuffer {\n  return throwIfNull<WebGLFramebuffer>(\n      gl, debug, () => gl.createFramebuffer(),\n      'Unable to create WebGLFramebuffer.');\n}\n\nexport function bindVertexBufferToProgramAttribute(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    attribute: string, buffer: WebGLBuffer, arrayEntriesPerItem: number,\n    itemStrideInBytes: number, itemOffsetInBytes: number): boolean {\n  const loc = gl.getAttribLocation(program, attribute);\n  if (loc === -1) {\n    // The GPU compiler decided to strip out this attribute because it's unused,\n    // thus no need to bind.\n    return false;\n  }\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.vertexAttribPointer(\n          loc, arrayEntriesPerItem, gl.FLOAT, false, itemStrideInBytes,\n          itemOffsetInBytes));\n  callAndCheck(gl, debug, () => gl.enableVertexAttribArray(loc));\n  return true;\n}\n\nexport function bindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n}\n\nexport function unbindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function getProgramUniformLocationOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return throwIfNull<WebGLUniformLocation>(\n      gl, debug, () => gl.getUniformLocation(program, uniformName),\n      'uniform \"' + uniformName + '\" not present in program.');\n}\n\nexport function getProgramUniformLocation(\n    gl: WebGLRenderingContext, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return gl.getUniformLocation(program, uniformName);\n}\n\nexport function bindTextureToProgramUniformSampler(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    texture: WebGLTexture, uniformSamplerLocation: WebGLUniformLocation,\n    textureUnit: number) {\n  callAndCheck(\n      gl, debug, () => bindTextureUnit(gl, debug, texture, textureUnit));\n  callAndCheck(\n      gl, debug, () => gl.uniform1i(uniformSamplerLocation, textureUnit));\n}\n\nexport function bindCanvasToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean) {\n  callAndCheck(gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n  callAndCheck(\n      gl, debug, () => gl.viewport(0, 0, gl.canvas.width, gl.canvas.height));\n  callAndCheck(\n      gl, debug, () => gl.scissor(0, 0, gl.canvas.width, gl.canvas.height));\n}\n\nexport function bindColorTextureToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0));\n}\n\nexport function unbindColorTextureFromFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, null, 0));\n}\n\nexport function validateFramebuffer(gl: WebGLRenderingContext) {\n  const status = gl.checkFramebufferStatus(gl.FRAMEBUFFER);\n  if (status !== gl.FRAMEBUFFER_COMPLETE) {\n    throw new Error(\n        'Error binding framebuffer: ' + getFramebufferErrorMessage(gl, status));\n  }\n}\n\nexport function getFramebufferErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:\n      return 'FRAMEBUFFER_INCOMPLETE_DIMENSIONS';\n    case gl.FRAMEBUFFER_UNSUPPORTED:\n      return 'FRAMEBUFFER_UNSUPPORTED';\n    default:\n      return `unknown error ${status}`;\n  }\n}\n\nfunction throwIfNull<T>(\n    gl: WebGLRenderingContext, debug: boolean, returnTOrNull: () => T | null,\n    failureMessage: string): T {\n  const tOrNull: T|null = callAndCheck(gl, debug, () => returnTOrNull());\n  if (tOrNull == null) {\n    throw new Error(failureMessage);\n  }\n  return tOrNull;\n}\n\nfunction validateTextureUnit(gl: WebGLRenderingContext, textureUnit: number) {\n  const maxTextureUnit = gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS - 1;\n  const glTextureUnit = textureUnit + gl.TEXTURE0;\n  if (glTextureUnit < gl.TEXTURE0 || glTextureUnit > maxTextureUnit) {\n    const textureUnitRange = `[gl.TEXTURE0, gl.TEXTURE${maxTextureUnit}]`;\n    throw new Error(`textureUnit must be in ${textureUnitRange}.`);\n  }\n}\n\nexport function getBatchDim(shape: number[], dimsToSkip = 2): number {\n  return util.sizeFromShape(shape.slice(0, shape.length - dimsToSkip));\n}\n\nexport function getRowsCols(shape: number[]): [number, number] {\n  if (shape.length === 0) {\n    throw Error('Cannot get rows and columns of an empty shape array.');\n  }\n\n  return [\n    shape.length > 1 ? shape[shape.length - 2] : 1, shape[shape.length - 1]\n  ];\n}\n\nexport function getShapeAs3D(shape: number[]): [number, number, number] {\n  let shapeAs3D: [number, number, number] = [1, 1, 1];\n  const isScalar = shape.length === 0 || (shape.length === 1 && shape[0] === 1);\n  if (!isScalar) {\n    shapeAs3D =\n        [getBatchDim(shape), ...getRowsCols(shape)] as [number, number, number];\n  }\n  return shapeAs3D;\n}\n\nexport function getTextureShapeFromLogicalShape(\n    logShape: number[], isPacked = false): [number, number] {\n  let maxTexSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if (isPacked) {\n    maxTexSize = maxTexSize * 2;\n\n    // This logic ensures we accurately count the number of packed texels needed\n    // to accommodate the tensor. We can only pack values in the same texel if\n    // they are from adjacent pairs of rows/cols within the same batch. So if a\n    // tensor has 3 rows, we pretend it has 4 rows in order to account for the\n    // fact that the texels containing the third row are half empty.\n    logShape = logShape.map(\n        (d, i) => i >= logShape.length - 2 ?\n            util.nearestLargerEven(logShape[i]) :\n            logShape[i]);\n\n    // Packed texture height is at least 2 (the channel height of a single\n    // texel).\n    if (logShape.length === 1) {\n      logShape = [2, logShape[0]];\n    }\n  }\n\n  // If logical shape is 2, we don't squeeze, since we want to match physical.\n  if (logShape.length !== 2) {\n    const squeezeResult = util.squeezeShape(logShape);\n    logShape = squeezeResult.newShape;\n  }\n\n  let size = util.sizeFromShape(logShape);\n  if (logShape.length <= 1 && size <= maxTexSize) {\n    return [1, size];\n  } else if (\n      logShape.length === 2 && logShape[0] <= maxTexSize &&\n      logShape[1] <= maxTexSize) {\n    return logShape as [number, number];\n  } else if (\n      logShape.length === 3 && logShape[0] * logShape[1] <= maxTexSize &&\n      logShape[2] <= maxTexSize) {\n    return [logShape[0] * logShape[1], logShape[2]];\n  } else if (\n      logShape.length === 3 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2]];\n  } else if (\n      logShape.length === 4 &&\n      logShape[0] * logShape[1] * logShape[2] <= maxTexSize &&\n      logShape[3] <= maxTexSize) {\n    return [logShape[0] * logShape[1] * logShape[2], logShape[3]];\n  } else if (\n      logShape.length === 4 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] * logShape[3] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2] * logShape[3]];\n  } else {\n    if (isPacked) {\n      // For packed textures size equals the number of channels required to\n      // accommodate the texture data. However in order to squarify such that\n      // inner dimensions stay even, we rewrite size to equal the number of\n      // texels. Then in the return statement we rehydrate the squarified\n      // dimensions to channel units.\n\n      const batchDim = getBatchDim(logShape);\n      let rows = 2, cols = 2;\n      if (logShape.length) {\n        [rows, cols] = getRowsCols(logShape);\n      }\n      size = batchDim * (rows / 2) * (cols / 2);\n      return util.sizeToSquarishShape(size).map(d => d * 2) as [number, number];\n    }\n    return util.sizeToSquarishShape(size);\n  }\n}\n\nfunction isEven(n: number): boolean {\n  return n % 2 === 0;\n}\n\n/**\n * This determines whether reshaping a packed texture requires rearranging\n * the data within the texture, assuming 2x2 packing.\n */\nexport function isReshapeFree(shape1: number[], shape2: number[]): boolean {\n  shape1 = shape1.slice(-2);\n  shape2 = shape2.slice(-2);\n\n  if (util.arraysEqual(shape1, shape2)) {\n    return true;\n  }\n\n  if (!shape1.length || !shape2.length) {  // One of the shapes is a scalar.\n    return true;\n  }\n\n  if (shape1[0] === 0 || shape1[1] === 0 || shape2[0] === 0 ||\n      shape2[1] === 0) {\n    return true;\n  }\n\n  if (shape1.length !== shape2.length) {  // One of the shapes is a vector.\n    const shape1Cols = shape1.slice(-1)[0];\n    const shape2Cols = shape2.slice(-1)[0];\n    if (shape1Cols === shape2Cols) {\n      return true;\n    }\n\n    if (isEven(shape1Cols) && isEven(shape2Cols) &&\n        (shape1[0] === 1 || shape2[0] === 1)) {\n      return true;\n    }\n  }\n  return shape1[1] === shape2[1] && isEven(shape1[0]) && isEven(shape2[0]);\n}\n\n// We cache webgl params because the environment gets reset between\n// unit tests and we don't want to constantly query the WebGLContext for\n// MAX_TEXTURE_SIZE.\nlet MAX_TEXTURE_SIZE: number;\nlet MAX_TEXTURES_IN_SHADER: number;\n\nexport function getWebGLMaxTextureSize(webGLVersion: number): number {\n  if (MAX_TEXTURE_SIZE == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURE_SIZE = gl.getParameter(gl.MAX_TEXTURE_SIZE);\n  }\n  return MAX_TEXTURE_SIZE;\n}\n\nexport function resetMaxTextureSize() {\n  MAX_TEXTURE_SIZE = null;\n}\nexport function resetMaxTexturesInShader() {\n  MAX_TEXTURES_IN_SHADER = null;\n}\n\nexport function getMaxTexturesInShader(webGLVersion: number): number {\n  if (MAX_TEXTURES_IN_SHADER == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURES_IN_SHADER = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS);\n  }\n  // We cap at 16 to avoid spurious runtime \"memory exhausted\" error.\n  return Math.min(16, MAX_TEXTURES_IN_SHADER);\n}\n\nexport function getWebGLDisjointQueryTimerVersion(webGLVersion: number):\n    number {\n  if (webGLVersion === 0) {\n    return 0;\n  }\n\n  let queryTimerVersion: number;\n  const gl = getWebGLContext(webGLVersion);\n\n  if (hasExtension(gl, 'EXT_disjoint_timer_query_webgl2') &&\n      webGLVersion === 2) {\n    queryTimerVersion = 2;\n  } else if (hasExtension(gl, 'EXT_disjoint_timer_query')) {\n    queryTimerVersion = 1;\n  } else {\n    queryTimerVersion = 0;\n  }\n  return queryTimerVersion;\n}\n\nexport function hasExtension(gl: WebGLRenderingContext, extensionName: string) {\n  const ext = gl.getExtension(extensionName);\n  return ext != null;\n}\n\nexport function isWebGLVersionEnabled(webGLVersion: 1|2) {\n  try {\n    const gl = getWebGLContext(webGLVersion);\n    if (gl != null) {\n      return true;\n    }\n  } catch (e) {\n    return false;\n  }\n  return false;\n}\n\nexport function isCapableOfRenderingToFloatTexture(webGLVersion: number):\n    boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n  } else {\n    if (!hasExtension(gl, 'EXT_color_buffer_float')) {\n      return false;\n    }\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\n/**\n * Check if we can download values from a float/half-float texture.\n *\n * Note that for performance reasons we use binding a texture to a framebuffer\n * as a proxy for ability to download float values later using readPixels. The\n * texture params of this texture will not match those in readPixels exactly\n * but if we are unable to bind some kind of float texture to the frameBuffer\n * then we definitely will not be able to read float values from it.\n */\nexport function isDownloadFloatTextureEnabled(webGLVersion: number): boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n    if (!hasExtension(gl, 'WEBGL_color_buffer_float')) {\n      return false;\n    }\n  } else {\n    if (hasExtension(gl, 'EXT_color_buffer_float')) {\n      return createFloatTextureAndBindToFramebuffer(gl);\n    }\n\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (hasExtension(gl, COLOR_BUFFER_HALF_FLOAT)) {\n      const textureHalfFloatExtension =\n          gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      return createHalfFloatTextureAndBindToFramebuffer(\n          gl, textureHalfFloatExtension);\n    }\n\n    return false;\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\nfunction createFloatTextureAndBindToFramebuffer(gl: WebGLRenderingContext):\n    boolean {\n  const texConfig = getTextureConfig(gl);\n\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nfunction createHalfFloatTextureAndBindToFramebuffer(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension: any): boolean {\n  const texConfig = getTextureConfig(gl, textureHalfFloatExtension);\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatHalfFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeHalfFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nexport function isWebGLFenceEnabled(webGLVersion: number) {\n  if (webGLVersion !== 2) {\n    return false;\n  }\n  const gl = getWebGLContext(webGLVersion);\n\n  // tslint:disable-next-line:no-any\n  const isEnabled = (gl as any).fenceSync != null;\n  return isEnabled;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as device_util from '../../device_util';\nimport {env} from '../../environment';\n\nimport * as webgl_util from './webgl_util';\n\nconst ENV = env();\n\n/**\n * This file contains WebGL-specific flag registrations.\n */\n\n/**\n * True if WebGL is supported.\n */\nENV.registerFlag('HAS_WEBGL', () => ENV.getNumber('WEBGL_VERSION') > 0);\n\n/** 0: No WebGL, 1: WebGL 1.0, 2: WebGL 2.0. */\nENV.registerFlag('WEBGL_VERSION', () => {\n  if (webgl_util.isWebGLVersionEnabled(2)) {\n    return 2;\n  } else if (webgl_util.isWebGLVersionEnabled(1)) {\n    return 1;\n  }\n  return 0;\n});\n\nENV.registerFlag(\n    'WEBGL_BUFFER_SUPPORTED', () => ENV.get('WEBGL_VERSION') === 2);\n\n/** Whether the WebGL backend will sometimes forward ops to the CPU. */\nENV.registerFlag('WEBGL_CPU_FORWARD', () => true);\n\n/** Whether the WebGL backend will always use f16 textures for rendering. */\nENV.registerFlag('WEBGL_FORCE_F16_TEXTURES', () => false);\n\n/** Whether to turn all packing related flags on. */\nENV.registerFlag('WEBGL_PACK', () => ENV.getBool('HAS_WEBGL'));\n\n/** Whether we will pack the batchnormalization op. */\nENV.registerFlag('WEBGL_PACK_NORMALIZATION', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the clip op. */\nENV.registerFlag('WEBGL_PACK_CLIP', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the depthwise conv op. */\n// TODO: https://github.com/tensorflow/tfjs/issues/1679\nENV.registerFlag('WEBGL_PACK_DEPTHWISECONV', () => false);\n\n/** Whether we will pack binary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_BINARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack unary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_UNARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack array ops. */\nENV.registerFlag(\n    'WEBGL_PACK_ARRAY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack image ops. */\nENV.registerFlag(\n    'WEBGL_PACK_IMAGE_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack reduce ops. */\nENV.registerFlag('WEBGL_PACK_REDUCE', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether packed WebGL kernels lazily unpack their outputs. */\nENV.registerFlag('WEBGL_LAZILY_UNPACK', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will use the im2col algorithm to speed up convolutions. */\nENV.registerFlag('WEBGL_CONV_IM2COL', () => ENV.getBool('WEBGL_PACK'));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURE_SIZE',\n    () => webgl_util.getWebGLMaxTextureSize(ENV.getNumber('WEBGL_VERSION')));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURES_IN_SHADER',\n    () => webgl_util.getMaxTexturesInShader(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * The disjoint_query_timer extension version.\n * 0: disabled, 1: EXT_disjoint_timer_query, 2:\n * EXT_disjoint_timer_query_webgl2.\n * In Firefox with WebGL 2.0,\n * EXT_disjoint_timer_query_webgl2 is not available, so we must use the\n * WebGL 1.0 extension.\n */\nENV.registerFlag('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION', () => {\n  const webGLVersion = ENV.getNumber('WEBGL_VERSION');\n\n  if (webGLVersion === 0) {\n    return 0;\n  }\n  return webgl_util.getWebGLDisjointQueryTimerVersion(webGLVersion);\n});\n\n/**\n * Whether the timer object from the disjoint_query_timer extension gives\n * timing information that is reliable.\n */\nENV.registerFlag(\n    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE',\n    () => ENV.getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0 &&\n        !device_util.isMobile());\n\n/**\n * Whether the device is physically capable of rendering to float32 textures.\n */\nENV.registerFlag(\n    'WEBGL_RENDER_FLOAT32_CAPABLE',\n    () => webgl_util.isCapableOfRenderingToFloatTexture(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Whether rendering to float32 textures is enabled. If disabled, renders to\n * float16 textures.\n */\nENV.registerFlag('WEBGL_RENDER_FLOAT32_ENABLED', () => {\n  return ENV.getBool('WEBGL_FORCE_F16_TEXTURES') ?\n      false :\n      ENV.getBool('WEBGL_RENDER_FLOAT32_CAPABLE');\n});\n\n/**\n * Whether downloading float textures is enabled (16 or 32 bit). If disabled,\n * uses IEEE 754 encoding of the float32 values to 4 uint8 when downloading.\n */\nENV.registerFlag(\n    'WEBGL_DOWNLOAD_FLOAT_ENABLED',\n    () => webgl_util.isDownloadFloatTextureEnabled(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/** Whether the fence API is available. */\nENV.registerFlag(\n    'WEBGL_FENCE_API_ENABLED',\n    () => webgl_util.isWebGLFenceEnabled(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Tensors with size <= than this will be uploaded as uniforms, not textures.\n */\nENV.registerFlag('WEBGL_SIZE_UPLOAD_UNIFORM', () => {\n  // Use uniform uploads only when 32bit floats are supported. In\n  // 16bit\n  // environments there are problems with comparing a 16bit texture value\n  // with a 32bit uniform value.\n  const useUniforms = ENV.getBool('WEBGL_RENDER_FLOAT32_ENABLED');\n  return useUniforms ? 4 : 0;\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from './backends/backend';\nimport {ENGINE, Engine, MemoryInfo, ProfileInfo, ScopeFn, TimingInfo} from './engine';\nimport {env} from './environment';\n\nimport {Platform} from './platforms/platform';\nimport {setDeprecationWarningFn, Tensor} from './tensor';\nimport {TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\n\n/**\n * Enables production mode which disables correctness checks in favor of\n * performance.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableProdMode(): void {\n  env().set('PROD', true);\n}\n\n/**\n * Enables debug mode which will log information about all executed kernels:\n * the elapsed time of the kernel execution, as well as the rank, shape, and\n * size of the output tensor.\n *\n * Debug mode will significantly slow down your application as it will\n * download the result of every operation to the CPU. This should not be used in\n * production. Debug mode does not affect the timing information of the kernel\n * execution as we do not measure download time in the kernel execution time.\n *\n * See also: `tf.profile`, `tf.memory`.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableDebugMode(): void {\n  env().set('DEBUG', true);\n}\n\n/** Globally disables deprecation warnings */\nexport function disableDeprecationWarnings(): void {\n  env().set('DEPRECATION_WARNINGS_ENABLED', false);\n  console.warn(`TensorFlow.js deprecation warnings have been disabled.`);\n}\n\n/** Warn users about deprecated functionality. */\nexport function deprecationWarn(msg: string) {\n  if (env().getBool('DEPRECATION_WARNINGS_ENABLED')) {\n    console.warn(\n        msg + ' You can disable deprecation warnings with ' +\n        'tf.disableDeprecationWarnings().');\n  }\n}\nsetDeprecationWarningFn(deprecationWarn);\n\n/**\n * Dispose all variables kept in backend engine.\n */\n/** @doc {heading: 'Environment'} */\nexport function disposeVariables(): void {\n  ENGINE.disposeVariables();\n}\n\n/**\n * It returns the global engine that keeps track of all tensors and backends.\n */\n/** @doc {heading: 'Environment'} */\nexport function engine(): Engine {\n  return ENGINE;\n}\n\n/**\n * Returns memory info at the current time in the program. The result is an\n * object with the following properties:\n *\n * - `numBytes`: Number of bytes allocated (undisposed) at this time.\n * - `numTensors`: Number of unique tensors allocated.\n * - `numDataBuffers`: Number of unique data buffers allocated\n *   (undisposed) at this time, which is ≤ the number of tensors\n *   (e.g. `a.reshape(newShape)` makes a new Tensor that shares the same\n *   data buffer with `a`).\n * - `unreliable`: True if the memory usage is unreliable. See `reasons` when\n *    `unreliable` is true.\n * - `reasons`: `string[]`, reasons why the memory is unreliable, present if\n *    `unreliable` is true.\n *\n * WebGL Properties:\n * - `numBytesInGPU`: Number of bytes allocated (undisposed) in the GPU only at\n *     this time.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function memory(): MemoryInfo {\n  return ENGINE.memory();\n}\n\n/**\n * Executes the provided function `f()` and returns a promise that resolves\n * with information about the function's memory use:\n * - `newBytes`: the number of new bytes allocated\n * - `newTensors`: the number of new tensors created\n * - `peakBytes`: the peak number of bytes allocated\n * - `kernels`: an array of objects for each kernel involved that reports\n * their input and output shapes, number of bytes used, and number of new\n * tensors created.\n *\n * ```js\n * const profile = await tf.profile(() => {\n *   const x = tf.tensor1d([1, 2, 3]);\n *   let x2 = x.square();\n *   x2.dispose();\n *   x2 = x.square();\n *   x2.dispose();\n *   return x;\n * });\n *\n * console.log(`newBytes: ${profile.newBytes}`);\n * console.log(`newTensors: ${profile.newTensors}`);\n * console.log(`byte usage over all kernels: ${profile.kernels.map(k =>\n * k.totalBytesSnapshot)}`);\n * ```\n *\n */\n/** @doc {heading: 'Performance', subheading: 'Profile'} */\nexport function profile(f: () => TensorContainer): Promise<ProfileInfo> {\n  return ENGINE.profile(f);\n}\n\n/**\n * Executes the provided function `fn` and after it is executed, cleans up all\n * intermediate tensors allocated by `fn` except those returned by `fn`.\n * `fn` must not return a Promise (async functions not allowed). The returned\n * result can be a complex object.\n *\n * Using this method helps avoid memory leaks. In general, wrap calls to\n * operations in `tf.tidy` for automatic memory cleanup.\n *\n * NOTE: Variables do *not* get cleaned up when inside a tidy(). If you want to\n * dispose variables, please use `tf.disposeVariables` or call dispose()\n * directly on variables.\n *\n * ```js\n * // y = 2 ^ 2 + 1\n * const y = tf.tidy(() => {\n *   // a, b, and one will be cleaned up when the tidy ends.\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *   const b = a.square();\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * y.print();\n * ```\n *\n * @param nameOrFn The name of the closure, or the function to execute.\n *     If a name is provided, the 2nd argument should be the function.\n *     If debug mode is on, the timing and the memory usage of the function\n *     will be tracked and displayed on the console using the provided name.\n * @param fn The function to execute.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function tidy<T extends TensorContainer>(\n    nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>): T {\n  return ENGINE.tidy(nameOrFn, fn);\n}\n\n/**\n * Disposes any `tf.Tensor`s found within the provided object.\n *\n * @param container an object that may be a `tf.Tensor` or may directly\n *     contain `tf.Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. If\n *     the object is not a `tf.Tensor` or does not contain `Tensors`, nothing\n *     happens. In general it is safe to pass any object here, except that\n *     `Promise`s are not supported.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function dispose(container: TensorContainer) {\n  const tensors = getTensorsInContainer(container);\n  tensors.forEach(tensor => tensor.dispose());\n}\n\n/**\n * Keeps a `tf.Tensor` generated inside a `tf.tidy` from being disposed\n * automatically.\n *\n * ```js\n * let b;\n * const y = tf.tidy(() => {\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *\n *   // b will not be cleaned up by the tidy. a and one will be cleaned up\n *   // when the tidy ends.\n *   b = tf.keep(a.square());\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * console.log('y:');\n * y.print();\n * console.log('b:');\n * b.print();\n * ```\n *\n * @param result The tensor to keep from being disposed.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function keep<T extends Tensor>(result: T): T {\n  return ENGINE.keep(result);\n}\n\n/**\n * Executes `f()` and returns a promise that resolves with timing\n * information.\n *\n * The result is an object with the following properties:\n *\n * - `wallMs`: Wall execution time.\n * - `kernelMs`: Kernel execution time, ignoring data transfer. If using the\n * WebGL backend and the query timer extension is not available, this will\n * return an error object.\n * - On `WebGL` The following additional properties exist:\n *   - `uploadWaitMs`: CPU blocking time on texture uploads.\n *   - `downloadWaitMs`: CPU blocking time on texture downloads (readPixels).\n *\n * ```js\n * const x = tf.randomNormal([20, 20]);\n * const time = await tf.time(() => x.matMul(x));\n *\n * console.log(`kernelMs: ${time.kernelMs}, wallTimeMs: ${time.wallMs}`);\n * ```\n *\n * @param f The function to execute and time.\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nexport function time(f: () => void): Promise<TimingInfo> {\n  return ENGINE.time(f);\n}\n\n/**\n * Sets the backend (cpu, webgl, wasm, etc) responsible for creating tensors and\n * executing operations on those tensors. Returns a promise that resolves\n * to a boolean if the backend initialization was successful.\n *\n * Note this disposes the current backend, if any, as well as any tensors\n * associated with it. A new backend is initialized, even if it is of the\n * same type as the previous one.\n *\n * @param backendName The name of the backend. Currently supports\n *     `'webgl'|'cpu'` in the browser, `'tensorflow'` under node.js\n *     (requires tfjs-node), and `'wasm'` (requires tfjs-backend-wasm).\n */\n/** @doc {heading: 'Backends'} */\nexport function setBackend(backendName: string): Promise<boolean> {\n  return ENGINE.setBackend(backendName);\n}\n\n/**\n * Returns a promise that resolves when the currently selected backend (or the\n * highest priority one) has initialized. Await this promise when you are using\n * a backend that has async initialization.\n */\n/** @doc {heading: 'Backends'} */\nexport function ready(): Promise<void> {\n  return ENGINE.ready();\n}\n\n/**\n * Returns the current backend name (cpu, webgl, etc). The backend is\n * responsible for creating tensors and executing operations on those tensors.\n */\n/** @doc {heading: 'Backends'} */\nexport function getBackend(): string {\n  return ENGINE.backendName;\n}\n\n/**\n * Removes a backend and the registered factory.\n */\n/** @doc {heading: 'Backends'} */\nexport function removeBackend(name: string): void {\n  ENGINE.removeBackend(name);\n}\n\n/**\n * Finds the backend registered under the provided name. Returns null if the\n * name is not in the registry, or the registration hasn't finished yet.\n */\nexport function findBackend(name: string): KernelBackend {\n  return ENGINE.findBackend(name);\n}\n\n/**\n * Finds the backend factory registered under the provided name. Returns a\n * function that produces a new backend when called. Returns null if the name\n * is not in the registry.\n */\nexport function findBackendFactory(name: string): () =>\n    KernelBackend | Promise<KernelBackend> {\n  return ENGINE.findBackendFactory(name);\n}\n\n/**\n * Registers a global backend. The registration should happen when importing\n * a module file (e.g. when importing `backend_webgl.ts`), and is used for\n * modular builds (e.g. custom tfjs bundle with only webgl support).\n *\n * @param factory The backend factory function. When called, it should\n * return a backend instance, or a promise of an instance.\n * @param priority The priority of the backend (higher = more important).\n *     In case multiple backends are registered, the priority is used to find\n *     the best backend. Defaults to 1.\n * @return False if there is already a registered backend under this name, true\n *     if not.\n */\n/** @doc {heading: 'Backends'} */\nexport function registerBackend(\n    name: string, factory: () => KernelBackend | Promise<KernelBackend>,\n    priority = 1): boolean {\n  return ENGINE.registerBackend(name, factory, priority);\n}\n\n/**\n * Gets the current backend. If no backends have been initialized, this will\n * attempt to initialize the best backend. Will throw an error if the highest\n * priority backend has async initialization, in which case, you should call\n * 'await tf.ready()' before running other code.\n */\n/** @doc {heading: 'Backends'} */\nexport function backend(): KernelBackend {\n  return ENGINE.backend;\n}\n\n/**\n * Sets the global platform.\n *\n * @param platformName The name of this platform.\n * @param platform A platform implementation.\n */\nexport function setPlatform(platformName: string, platform: Platform) {\n  env().setPlatform(platformName, platform);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nexport function warn(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.warn(...msg);\n  }\n}\n\nexport function log(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.log(...msg);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {env} from './environment';\nimport {Tensor} from './tensor';\nimport {DataType, TensorLike} from './types';\nimport {assert, flatten, inferDtype, isTypedArray, toTypedArray} from './util';\n\nexport function inferShape(val: TensorLike, dtype?: DataType): number[] {\n  let firstElem: typeof val = val;\n\n  if (isTypedArray(val)) {\n    return dtype === 'string' ? [] : [val.length];\n  }\n  if (!Array.isArray(val)) {\n    return [];  // Scalar.\n  }\n  const shape: number[] = [];\n\n  while (Array.isArray(firstElem) ||\n         isTypedArray(firstElem) && dtype !== 'string') {\n    shape.push(firstElem.length);\n    firstElem = firstElem[0];\n  }\n  if (Array.isArray(val) &&\n      env().getBool('TENSORLIKE_CHECK_SHAPE_CONSISTENCY')) {\n    deepAssertShapeConsistency(val, shape, []);\n  }\n\n  return shape;\n}\n\nfunction deepAssertShapeConsistency(\n    val: TensorLike, shape: number[], indices: number[]) {\n  indices = indices || [];\n  if (!(Array.isArray(val)) && !isTypedArray(val)) {\n    assert(\n        shape.length === 0,\n        () => `Element arr[${indices.join('][')}] is a primitive, ` +\n            `but should be an array/TypedArray of ${shape[0]} elements`);\n    return;\n  }\n  assert(\n      shape.length > 0,\n      () => `Element arr[${indices.join('][')}] should be a primitive, ` +\n          `but is an array of ${val.length} elements`);\n  assert(\n      val.length === shape[0],\n      () => `Element arr[${indices.join('][')}] should have ${shape[0]} ` +\n          `elements, but has ${val.length} elements`);\n  const subShape = shape.slice(1);\n  for (let i = 0; i < val.length; ++i) {\n    deepAssertShapeConsistency(val[i], subShape, indices.concat(i));\n  }\n}\n\nfunction assertDtype(\n    expectedDtype: DataType|'numeric', actualDType: DataType, argName: string,\n    functionName: string) {\n  if (expectedDtype == null) {\n    return;\n  }\n  if (expectedDtype !== 'numeric' && expectedDtype !== actualDType ||\n      expectedDtype === 'numeric' && actualDType === 'string') {\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must ` +\n        `be ${expectedDtype} tensor, but got ${actualDType} tensor`);\n  }\n}\n\nexport function convertToTensor<T extends Tensor>(\n    x: T|TensorLike, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T {\n  if (x instanceof Tensor) {\n    assertDtype(parseAsDtype, x.dtype, argName, functionName);\n    return x;\n  }\n  let inferredDtype = inferDtype(x);\n  // If the user expects a bool/int/float, use that info to update the\n  // inferredDtype when it is not a string.\n  if (inferredDtype !== 'string' &&\n      ['bool', 'int32', 'float32'].indexOf(parseAsDtype) >= 0) {\n    inferredDtype = parseAsDtype as DataType;\n  }\n  assertDtype(parseAsDtype, inferredDtype, argName, functionName);\n\n  if ((x == null) ||\n      (!isTypedArray(x) && !Array.isArray(x) && typeof x !== 'number' &&\n       typeof x !== 'boolean' && typeof x !== 'string')) {\n    const type = x == null ? 'null' : (x as {}).constructor.name;\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must be a ` +\n        `Tensor or TensorLike, but got '${type}'`);\n  }\n  const inferredShape = inferShape(x, inferredDtype);\n  if (!isTypedArray(x) && !Array.isArray(x)) {\n    x = [x] as number[];\n  }\n  const skipTypedArray = true;\n  const values = inferredDtype !== 'string' ?\n      toTypedArray(x, inferredDtype as DataType, env().getBool('DEBUG')) :\n      flatten(x as string[], [], skipTypedArray) as string[];\n  return ENGINE.makeTensor(values, inferredShape, inferredDtype) as T;\n}\n\nexport function convertToTensorArray<T extends Tensor>(\n    arg: Array<T|TensorLike>, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T[] {\n  if (!Array.isArray(arg)) {\n    throw new Error(\n        `Argument ${argName} passed to ${functionName} must be a ` +\n        '`Tensor[]` or `TensorLike[]`');\n  }\n  const tensors = arg as T[];\n  return tensors.map(\n      (t, i) => convertToTensor(t, `${argName}[${i}]`, functionName),\n      parseAsDtype);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\n/**\n * Returns true if the axis specifies the inner most dimensions of the\n * array.\n */\nexport function axesAreInnerMostDims(axes: number[], rank: number): boolean {\n  for (let i = 0; i < axes.length; ++i) {\n    if (axes[axes.length - i - 1] !== rank - 1 - i) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function combineLocations(\n    outputLoc: number[], reduceLoc: number[], axes: number[]): number[] {\n  const rank = outputLoc.length + reduceLoc.length;\n  const loc = [];\n  let outIdx = 0;\n  let reduceIdx = 0;\n    for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      loc.push(outputLoc[outIdx++]);\n    } else {\n      loc.push(reduceLoc[reduceIdx++]);\n    }\n  }\n  return loc;\n}\n\nexport function computeOutAndReduceShapes(\n    aShape: number[], axes: number[]): [number[], number[]] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      outShape.push(aShape[dim]);\n    }\n  }\n  const reduceShape = axes.map(dim => aShape[dim]);\n  return [outShape, reduceShape];\n}\n\nexport function expandShapeToKeepDim(\n    shape: number[], axes: number[]): number[] {\n  const reduceSubShape = axes.map(x => 1);\n  return combineLocations(shape, reduceSubShape, axes);\n}\n\nexport function assertAxesAreInnerMostDims(\n    msg: string, axes: number[], rank: number): void {\n  util.assert(\n      axesAreInnerMostDims(axes, rank),\n      () => `${msg} supports only inner-most axes for now. ` +\n          `Got axes ${axes} and rank-${rank} input.`);\n}\n\n/**\n * Returns the axes permutation to be used with `tf.transpose`, if such\n * permutation is necessary. Otherwise it returns null. This method is used by\n * operations that operate only on inner-most axes.\n */\nexport function getAxesPermutation(axes: number[], rank: number): number[]|\n    null {\n  if (axesAreInnerMostDims(axes, rank)) {\n    return null;\n  }\n  const result: number[] = [];\n  for (let i = 0; i < rank; ++i) {\n    if (axes.indexOf(i) === -1) {\n      result.push(i);\n    }\n  }\n  axes.forEach(axis => result.push(axis));\n  return result;\n}\n\n/** Returns the axes permutation that undoes the original permutation. */\nexport function getUndoAxesPermutation(axes: number[]): number[] {\n  return axes.map((axis, i) => [i, axis])\n      .sort((a, b) => a[1] - b[1])\n      .map(x => x[0]);\n}\n\nexport function getInnerMostAxes(numAxes: number, rank: number): number[] {\n  const res: number[] = [];\n  for (let i = rank - numAxes; i < rank; ++i) {\n    res.push(i);\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\nexport function assertParamsConsistent(shapes: number[][], axis: number) {\n  const rank = shapes[0].length;\n  shapes.forEach((shape, i) => {\n    util.assert(\n        shape.length === rank,\n        () =>\n            `Error in concat${rank}D: rank of tensors[${i}] must be the same ` +\n            `as the rank of the rest (${rank})`);\n  });\n\n  util.assert(\n      axis >= 0 && axis < rank,\n      () => `Error in concat${rank}D: axis must be between 0 and ${rank - 1}.`);\n\n  const firstShape = shapes[0];\n  shapes.forEach((shape, i) => {\n    for (let r = 0; r < rank; r++) {\n      util.assert(\n          (r === axis) || (shape[r] === firstShape[r]),\n          () => `Error in concat${rank}D: Shape of tensors[${i}] (${shape}) ` +\n              `does not match the shape of the rest (${firstShape}) ` +\n              `along the non-concatenated axis ${i}.`);\n    }\n  });\n}\n\nexport function computeOutShape(shapes: number[][], axis: number): number[] {\n  const outputShape = shapes[0].slice();\n  for (let i = 1; i < shapes.length; i++) {\n    outputShape[axis] += shapes[i][axis];\n  }\n  return outputShape;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\n\n/**\n * Used for wrapping functions that perform math operations on\n * Tensors. The function will be wrapped in a named scope that cleans all\n * memory usage after the function is done.\n */\nexport function op<T extends Function>(f: {[name: string]: T}): T {\n  const keys = Object.keys(f);\n  if (keys.length !== 1) {\n    throw new Error(\n        `Please provide an object with a single key ` +\n        `(operation name) mapping to a function. Got an object with ` +\n        `${keys.length} keys.`);\n  }\n\n  let opName = keys[0];\n  const fn = f[opName];\n\n  // Strip the underscore from the end of the function name.\n  if (opName.endsWith('_')) {\n    opName = opName.substring(0, opName.length - 1);\n  }\n\n  // tslint:disable-next-line:no-any\n  const f2 = (...args: any[]) => {\n    ENGINE.startScope(opName);\n    try {\n      const result = fn(...args);\n      if (result instanceof Promise) {\n        console.error('Cannot return a Promise inside of tidy.');\n      }\n      ENGINE.endScope(result);\n      return result;\n    } catch (ex) {\n      ENGINE.endScope(null);\n      throw ex;\n    }\n  };\n  Object.defineProperty(f2, 'name', {value: opName, configurable: true});\n\n  // tslint:disable-next-line:no-any\n  return f2 as any as T;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Converts two real numbers to a complex number.\n *\n * Given a tensor `real` representing the real part of a complex number, and a\n * tensor `imag` representing the imaginary part of a complex number, this\n * operation returns complex numbers elementwise of the form [r0, i0, r1, i1],\n * where r represents the real part and i represents the imag part.\n *\n * The input tensors real and imag must have the same shape.\n *\n * ```js\n * const real = tf.tensor1d([2.25, 3.25]);\n * const imag = tf.tensor1d([4.75, 5.75]);\n * const complex = tf.complex(real, imag);\n *\n * complex.print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction complex_<T extends Tensor>(real: T|TensorLike, imag: T|TensorLike): T {\n  const $real = convertToTensor(real, 'real', 'complex');\n  const $imag = convertToTensor(imag, 'imag', 'complex');\n  util.assertShapesMatch(\n      $real.shape, $imag.shape,\n      `real and imag shapes, ${$real.shape} and ${$imag.shape}, ` +\n          `must match in call to tf.complex().`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.complex($real, $imag), {$real, $imag});\n}\n\n/**\n * Returns the real part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the real part of each element in input considered as a complex number.\n *\n * If the input is real, it simply makes a clone.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.real(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction real_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'real');\n\n  return ENGINE.runKernelFunc(backend => backend.real($input), {$input});\n}\n\n/**\n * Returns the imaginary part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the imaginary part of each element in input considered as a complex number.\n * If input is real, a tensor of all zeros is returned.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.imag(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction imag_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'imag');\n\n  return ENGINE.runKernelFunc(backend => backend.imag($input), {$input});\n}\n\nexport const complex = op({complex_});\nexport const real = op({real_});\nexport const imag = op({imag_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {env} from '../environment';\n\nimport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, Tensor6D, Variable} from '../tensor';\nimport {convertToTensor, inferShape} from '../tensor_util_env';\nimport {TensorLike, TensorLike1D, TensorLike2D, TensorLike3D, TensorLike4D, TensorLike5D, TensorLike6D, TypedArray} from '../types';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {assert, assertNonNegativeIntegerDimensions, assertNonNull, flatten, inferDtype, isTypedArray, makeOnesTypedArray, makeZerosTypedArray, sizeFromShape, toTypedArray} from '../util';\nimport {complex, imag, real} from './complex_ops';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with the provided values, shape and dtype.\n *\n * ```js\n * // Pass an array of values to create a vector.\n * tf.tensor([1, 2, 3, 4]).print();\n * ```\n *\n * ```js\n * // Pass a nested array of values to make a matrix or a higher\n * // dimensional tensor.\n * tf.tensor([[1, 2], [3, 4]]).print();\n * ```\n *\n * ```js\n * // Pass a flat array and specify a shape yourself.\n * tf.tensor([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`. If the values are strings,\n *     they will be encoded as utf-8 and kept as `Uint8Array[]`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor<R extends Rank>(\n    values: TensorLike, shape?: ShapeMap[R], dtype?: DataType): Tensor<R> {\n  const inferredShape = inferShape(values, dtype);\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor<R>;\n}\n\n/** This is shared code across all tensor creation methods. */\nfunction makeTensor(\n    values: TensorLike, shape: number[], inferredShape: number[],\n    dtype?: DataType): Tensor {\n  if (dtype == null) {\n    dtype = inferDtype(values);\n  }\n  if (dtype === 'complex64') {\n    throw new Error(\n        `Cannot construct a complex64 tensor directly. ` +\n        `Please use tf.complex(real, imag).`);\n  }\n  if (!isTypedArray(values) && !Array.isArray(values) &&\n      typeof values !== 'number' && typeof values !== 'boolean' &&\n      typeof values !== 'string') {\n    throw new Error(\n        'values passed to tensor(values) must be a number/boolean/string or ' +\n        'an array of numbers/booleans/strings, or a TypedArray');\n  }\n  if (shape != null) {\n    assertNonNegativeIntegerDimensions(shape);\n\n    const providedSize = sizeFromShape(shape);\n    const inferredSize = sizeFromShape(inferredShape);\n    assert(\n        providedSize === inferredSize,\n        () =>\n            `Based on the provided shape, [${shape}], the tensor should have ` +\n            `${providedSize} values but has ${inferredSize}`);\n\n    for (let i = 0; i < inferredShape.length; ++i) {\n      const inferred = inferredShape[i];\n      const flatDimsDontMatch = i === inferredShape.length - 1 ?\n          inferred !== sizeFromShape(shape.slice(i)) :\n          true;\n      assert(\n          inferredShape[i] === shape[i] || !flatDimsDontMatch,\n          () => `Error creating a new Tensor. Inferred shape ` +\n              `(${inferredShape}) does not match the provided ` +\n              `shape (${shape}). `);\n    }\n  }\n\n  if (!isTypedArray(values) && !Array.isArray(values)) {\n    values = [values] as number[];\n  }\n\n  shape = shape || inferredShape;\n  values = dtype !== 'string' ?\n      toTypedArray(values, dtype, env().getBool('DEBUG')) :\n      flatten(values as string[], [], true) as string[];\n  return ENGINE.makeTensor(values as TypedArray, shape, dtype);\n}\n\n/**\n * Creates rank-0 `tf.Tensor` (scalar) with the provided value and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.scalar` as it makes the code more readable.\n *\n * ```js\n * tf.scalar(3.14).print();\n * ```\n *\n * @param value The value of the scalar.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction scalar(\n    value: number|boolean|string|Uint8Array, dtype?: DataType): Scalar {\n  if (((isTypedArray(value) && dtype !== 'string') || Array.isArray(value)) &&\n      dtype !== 'complex64') {\n    throw new Error(\n        'Error creating a new Scalar: value must be a primitive ' +\n        '(number|boolean|string)');\n  }\n  if (dtype === 'string' && isTypedArray(value) &&\n      !(value instanceof Uint8Array)) {\n    throw new Error(\n        'When making a scalar from encoded string, ' +\n        'the value must be `Uint8Array`.');\n  }\n  const shape: number[] = [];\n  const inferredShape: number[] = [];\n  return makeTensor(value, shape, inferredShape, dtype) as Scalar;\n}\n\n/**\n * Creates rank-1 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor1d` as it makes the code more readable.\n *\n * ```js\n * tf.tensor1d([1, 2, 3]).print();\n * ```\n *\n * @param values The values of the tensor. Can be array of numbers,\n *     or a `TypedArray`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor1d(values: TensorLike1D, dtype?: DataType): Tensor1D {\n  assertNonNull(values);\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 1) {\n    throw new Error('tensor1d() requires values to be a flat/TypedArray');\n  }\n  const shape: number[] = null;\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor1D;\n}\n\n/**\n * Creates rank-2 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor2d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor2d([[1, 2], [3, 4]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided, it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor2d(\n    values: TensorLike2D, shape?: [number, number],\n    dtype?: DataType): Tensor2D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 2) {\n    throw new Error('tensor2d() requires shape to have two numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 2 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor2d() requires values to be number[][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor2d() requires shape to be provided when `values` ' +\n        'are a flat/TypedArray');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor2D;\n}\n\n/**\n * Creates rank-3 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor3d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor3d([[[1], [2]], [[3], [4]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor3d([1, 2, 3, 4], [2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided,  it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor3d(\n    values: TensorLike3D, shape?: [number, number, number],\n    dtype?: DataType): Tensor3D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 3) {\n    throw new Error('tensor3d() requires shape to have three numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 3 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor3d() requires values to be number[][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor3d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor3D;\n}\n\n/**\n * Creates rank-4 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor4d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor4d([[[[1], [2]], [[3], [4]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor4d(\n    values: TensorLike4D, shape?: [number, number, number, number],\n    dtype?: DataType): Tensor4D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 4) {\n    throw new Error('tensor4d() requires shape to have four numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 4 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor4d() requires values to be number[][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor4d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor4D;\n}\n\n/**\n * Creates rank-5 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor5d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor5d([[[[[1], [2]], [[3], [4]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor5d(\n    values: TensorLike5D, shape?: [number, number, number, number, number],\n    dtype?: DataType): Tensor5D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 5) {\n    throw new Error('tensor5d() requires shape to have five numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 5 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor5d() requires values to be ' +\n        'number[][][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor5d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor5D;\n}\n\n/**\n * Creates rank-6 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor6d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor6d([[[[[[1],[2]],[[3],[4]]],[[[5],[6]],[[7],[8]]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor6d([1, 2, 3, 4, 5, 6, 7, 8], [1, 1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor6d(\n    values: TensorLike6D,\n    shape?: [number, number, number, number, number, number],\n    dtype?: DataType): Tensor6D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 6) {\n    throw new Error('tensor6d() requires shape to have six numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 6 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor6d() requires values to be number[][][][][][] or ' +\n        'flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor6d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  shape = shape ||\n      inferredShape as [number, number, number, number, number, number];\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor6D;\n}\n\n/**\n * Creates a new variable with the provided initial value.\n * ```js\n * const x = tf.variable(tf.tensor([1, 2, 3]));\n * x.assign(tf.tensor([4, 5, 6]));\n *\n * x.print();\n * ```\n *\n * @param initialValue Initial value for the tensor.\n * @param trainable If true, optimizers are allowed to update it.\n * @param name Name of the variable. Defaults to a unique id.\n * @param dtype If set, initialValue will be converted to the given type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction variable<R extends Rank>(\n    initialValue: Tensor<R>, trainable = true, name?: string,\n    dtype?: DataType): Variable<R> {\n  return ENGINE.makeVariable(initialValue, trainable, name, dtype) as\n      Variable<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1.\n *\n * ```js\n * tf.ones([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n *     'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction ones<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = ones(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeOnesTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0.\n *\n * ```js\n * tf.zeros([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Can\n *     be 'float32', 'int32' or 'bool'. Defaults to 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zeros<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = zeros(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeZerosTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` filled with a scalar value.\n *\n * ```js\n * tf.fill([2, 2], 4).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param value The scalar value to fill the tensor with.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n * 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction fill<R extends Rank>(\n    shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n  return ENGINE.runKernelFunc(backend => backend.fill(shape, value, dtype), {});\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.onesLike(x).print();\n * ```\n * @param x A tensor.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction onesLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'onesLike');\n  if ($x.dtype === 'complex64') {\n    const r = onesLike(real($x));\n    const i = zerosLike(imag($x));\n    return complex(r, i);\n  }\n  const der = (dy: T, saved: Tensor[]) => ({x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(\n             backend => backend.onesLike($x), {x: $x}, der, 'OnesLike') as T;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.zerosLike(x).print();\n * ```\n *\n * @param x The tensor of required shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zerosLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'zerosLike');\n  const der = (dy: T, saved: Tensor[]) => ({x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(\n             backend => backend.zerosLike($x), {x: $x}, der, 'ZerosLike') as T;\n}\n\n/**\n * Return an evenly spaced sequence of numbers over the given interval.\n *\n * ```js\n * tf.linspace(0, 9, 10).print();\n * ```\n * @param start The start value of the sequence.\n * @param stop The end value of the sequence.\n * @param num The number of values to generate.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction linspace(start: number, stop: number, num: number): Tensor1D {\n  if (num <= 0) {\n    throw new Error('The number of values should be positive.');\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.linspace(start, stop, num), {});\n}\n\n/**\n * Creates a new `tf.Tensor1D` filled with the numbers in the range provided.\n *\n * The tensor is a is half-open interval meaning it includes start, but\n * excludes stop. Decrementing ranges and negative step values are also\n * supported.\n *\n * ```js\n * tf.range(0, 9, 2).print();\n * ```\n *\n * @param start An integer start value\n * @param stop An integer stop value\n * @param step An integer increment (will default to 1 or -1)\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction range(\n    start: number, stop: number, step = 1,\n    dtype: 'float32'|'int32' = 'float32'): Tensor1D {\n  if (step === 0) {\n    throw new Error('Cannot have a step of zero');\n  }\n\n  const sameStartStop = start === stop;\n  const increasingRangeNegativeStep = start < stop && step < 0;\n  const decreasingRangePositiveStep = stop < start && step > 1;\n\n  if (sameStartStop || increasingRangeNegativeStep ||\n      decreasingRangePositiveStep) {\n    return zeros([0], dtype);\n  }\n\n  const numElements = Math.abs(Math.ceil((stop - start) / step));\n  const values = makeZerosTypedArray(numElements, dtype);\n\n  if (stop < start && step === 1) {\n    // Auto adjust the step's sign if it hasn't been set\n    // (or was set to 1)\n    step = -1;\n  }\n\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, dtype);\n}\n\nexport {\n  fill,\n  linspace,\n  ones,\n  range,\n  scalar,\n  tensor,\n  tensor1d,\n  tensor2d,\n  tensor3d,\n  tensor4d,\n  tensor5d,\n  tensor6d,\n  variable,\n  zeros\n};\n\nexport const onesLike = op({onesLike_});\nexport const zerosLike = op({zerosLike_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, sizeFromShape} from '../util';\nimport {parseAxisParam} from '../util';\nimport {assertParamsConsistent, computeOutShape} from './concat_util';\nimport {op} from './operation';\nimport {tensor} from './tensor_ops';\n\n/**\n * Concatenates a list of`tf.Tensor1D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(3) = |r1, g1, b1|\n * B: shape(2) = |r2, g2|\n * C = tf.concat1d([A, B]) == |r1, g1, b1, r2, g2|\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @return The concatenated array.\n */\nfunction concat1d_(tensors: Array<Tensor1D|TensorLike>): Tensor1D {\n  return concat(tensors, 0 /* axis */);\n}\n\n/**\n * Concatenates a list of`tf.Tensor2D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *\n * B: shape(2, 3) = | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * C = tf.concat2d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *                  | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * if axis = 1:\n * C = shape(2, 6) = | r1, g1, b1, r3, g3, b3 |\n *                   | r2, g2, b2, r4, g4, b4 |\n *\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concatenate along.\n * @return The concatenated array.\n */\nfunction concat2d_(\n    tensors: Array<Tensor2D|TensorLike>, axis: number): Tensor2D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor3D`s along an axis.\n * See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *\n * B: shape(2, 1, 3) = | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * C = tf.concat3d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *                     | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * if axis = 1:\n * C: shape(2, 2, 3) = | r1, g1, b1, r3, g3, b3 |\n *                     | r2, g2, b2, r4, g4, b4 |\n *\n * if axis = 2:\n * C = shape(2, 1, 6) = | r1, g1, b1, r3, g3, b3 |\n *                      | r2, g2, b2, r4, g4, b4 |\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat3d_(\n    tensors: Array<Tensor3D|TensorLike>, axis: number): Tensor3D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor4D`s along an axis.\n * See `concat` for details.\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat4d_(\n    tensors: Array<Tensor4D|TensorLike>, axis: number): Tensor4D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor`s along a given axis.\n *\n * The tensors ranks and types must match, and their sizes must match in all\n * dimensions except `axis`.\n *\n * Also available are stricter rank-specific methods that assert that\n * `tensors` are of the given rank:\n *   - `tf.concat1d`\n *   - `tf.concat2d`\n *   - `tf.concat3d`\n *   - `tf.concat4d`\n *\n * Except `tf.concat1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * a.concat(b).print();  // or a.concat(b)\n * ```\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.concat([a, b, c]).print();\n * ```\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [10, 20]]);\n * const b = tf.tensor2d([[3, 4], [30, 40]]);\n * const axis = 1;\n * tf.concat([a, b], axis).print();\n * ```\n * @param tensors A list of tensors to concatenate.\n * @param axis The axis to concate along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction concat_<T extends Tensor>(tensors: Array<T|TensorLike>, axis = 0): T {\n  assert(tensors.length >= 1, () => 'Pass at least one tensor to concat');\n  let $tensors = convertToTensorArray(tensors, 'tensors', 'concat');\n  if ($tensors[0].dtype === 'complex64') {\n    $tensors.forEach(tensor => {\n      if (tensor.dtype !== 'complex64') {\n        throw new Error(`Cannot concatenate complex64 tensors with a tensor\n          with dtype ${tensor.dtype}. `);\n      }\n    });\n  }\n\n  axis = parseAxisParam(axis, $tensors[0].shape)[0];\n  const outShape = computeOutShape($tensors.map(t => t.shape), axis);\n  if (sizeFromShape(outShape) === 0) {\n    return tensor([], outShape) as T;\n  }\n  // Keep only non-empty tensors (ignore tensors with 0 in their shape).\n  $tensors = $tensors.filter(t => t.size > 0);\n  if ($tensors.length === 1) {\n    return $tensors[0];\n  }\n\n  const shapes = $tensors.map(t => t.shape);\n  assertParamsConsistent(shapes, axis);\n  const der = (dy: T) => {\n    const sizeSplits = shapes.map(s => s[axis]);\n    const derTensors = split(dy, sizeSplits, axis);\n    return derTensors.map(t => () => t) as {};\n  };\n  const inputs = $tensors as {};\n  const attr = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.concat($tensors, axis) as T, inputs, der, 'Concat',\n      attr);\n}\n\n/**\n * Splits a `tf.Tensor` into sub tensors.\n *\n * If `numOrSizeSplits` is a number, splits `x` along dimension `axis`\n * into `numOrSizeSplits` smaller tensors.\n * Requires that `numOrSizeSplits` evenly divides `x.shape[axis]`.\n *\n * If `numOrSizeSplits` is a number array, splits `x` into\n * `numOrSizeSplits.length` pieces. The shape of the `i`-th piece has the\n * same size as `x` except along dimension `axis` where the size is\n * `numOrSizeSplits[i]`.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8], [2, 4]);\n * const [a, b] = tf.split(x, 2, 1);\n * a.print();\n * b.print();\n *\n * const [c, d, e] = tf.split(x, [1, 2, 1], 1);\n * c.print();\n * d.print();\n * e.print();\n * ```\n *\n * @param x The input tensor to split.\n * @param numOrSizeSplits Either an integer indicating the number of\n * splits along the axis or an array of integers containing the sizes of\n * each output tensor along the axis. If a number then it must evenly divide\n * `x.shape[axis]`; otherwise the sum of sizes must match `x.shape[axis]`.\n * @param axis The dimension along which to split. Defaults to 0 (the first\n * dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction split_<T extends Tensor>(\n    x: T|TensorLike, numOrSizeSplits: number[]|number, axis = 0): T[] {\n  const $x = convertToTensor(x, 'x', 'split');\n\n  axis = parseAxisParam(axis, $x.shape)[0];\n  let splitSizes: number[];\n  if (typeof (numOrSizeSplits) === 'number') {\n    assert(\n        $x.shape[axis] % numOrSizeSplits === 0,\n        () => 'Number of splits must evenly divide the axis.');\n    splitSizes =\n        new Array(numOrSizeSplits).fill($x.shape[axis] / numOrSizeSplits);\n  } else {\n    assert(\n        $x.shape[axis] === numOrSizeSplits.reduce((a, b) => a + b),\n        () => 'The sum of sizes must match the size of the axis dimension.');\n    splitSizes = numOrSizeSplits;\n  }\n  const der = (dy: T[]) => ({$x: () => concat(dy, axis)});\n  return ENGINE.runKernelFunc(\n      backend => backend.split($x, splitSizes, axis), {$x}, der);\n}\n\nexport const concat = op({concat_});\nexport const concat1d = op({concat1d_});\nexport const concat2d = op({concat2d_});\nexport const concat3d = op({concat3d_});\nexport const concat4d = op({concat4d_});\nexport const split = op({split_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor4D, TensorBuffer} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {DataType, DataTypeMap, Rank, ShapeMap, TensorLike, TensorLike4D} from '../types';\nimport * as util from '../util';\nimport {getAxesPermutation, getInnerMostAxes} from './axis_util';\nimport {concat} from './concat_split';\nimport {op} from './operation';\n\n/**\n * Reshapes a `tf.Tensor` to a given shape.\n *\n * Given an input tensor, returns a new tensor with the same values as the\n * input tensor with shape `shape`.\n *\n * If one component of shape is the special value -1, the size of that\n * dimension is computed so that the total size remains constant. In\n * particular, a shape of [-1] flattens into 1-D. At most one component of\n * shape can be -1.\n *\n * If shape is 1-D or higher, then the operation returns a tensor with shape\n * shape filled with the values of tensor. In this case, the number of\n * elements implied by shape must be the same as the number of elements in\n * tensor.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.reshape([2, 2]).print();\n * ```\n *\n * @param x The input tensor to be reshaped.\n * @param shape An array of integers defining the output tensor shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction reshape_<R2 extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R2]): Tensor<R2> {\n  const $x = convertToTensor(x, 'x', 'reshape', null);\n  shape = util.inferFromImplicitShape(shape, $x.size) as ShapeMap[R2];\n  util.assert(\n      $x.size === util.sizeFromShape(shape),\n      () => 'new shape and old shape must have the same number of elements.');\n\n  const grad = (dy: Tensor<R2>) => {\n    return {x: () => dy.reshape($x.shape)};\n  };\n  const attrs = {shape};\n  return ENGINE.runKernelFunc(\n      backend => backend.reshape($x, shape), {x: $x}, grad, 'Reshape', attrs);\n}\n\n/**\n * Removes dimensions of size 1 from the shape of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4], [1, 1, 4]);\n * x.squeeze().print();\n * ```\n *\n * @param x The input tensor to be squeezed.\n * @param axis An optional list of numbers. If specified, only\n *     squeezes the dimensions listed. The dimension index starts at 0. It\n * is an error to squeeze a dimension that is not 1.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction squeeze_<T extends Tensor>(x: Tensor|TensorLike, axis?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'squeeze');\n  return reshape($x, util.squeezeShape($x.shape, axis).newShape) as T;\n}\n\n/**\n * Casts a `tf.Tensor` to a new dtype.\n *\n * ```js\n * const x = tf.tensor1d([1.5, 2.5, 3]);\n * tf.cast(x, 'int32').print();\n * ```\n * @param x The input tensor to be casted.\n * @param dtype The dtype to cast the input tensor to.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction cast_<T extends Tensor>(x: T|TensorLike, dtype: DataType): T {\n  const $x = convertToTensor(x, 'x', 'cast');\n\n  // Sanity checks.\n  if (!util.isValidDtype(dtype)) {\n    throw new Error(`Failed to cast to unknown dtype ${dtype}`);\n  }\n  if (dtype === 'string' && $x.dtype !== 'string' ||\n      dtype !== 'string' && $x.dtype === 'string') {\n    throw new Error('Only strings can be casted to strings');\n  }\n\n  const grad = (dy: T) => {\n    return {x: () => dy.clone()};\n  };\n  const attrs = {dtype};\n  return ENGINE.runKernelFunc(\n      backend => backend.cast($x, dtype), {x: $x}, grad, 'Cast', attrs);\n}\n\n/**\n * Stacks a list of rank-`R` `tf.Tensor`s into one rank-`(R+1)` `tf.Tensor`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.stack([a, b, c]).print();\n * ```\n *\n * @param tensors A list of tensor objects with the same shape and dtype.\n * @param axis The axis to stack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction stack_<T extends Tensor>(\n    tensors: Array<T|TensorLike>, axis = 0): Tensor {\n  const $tensors = convertToTensorArray(tensors, 'tensors', 'stack');\n\n  util.assert(\n      $tensors.length >= 1, () => 'Pass at least one tensor to tf.stack');\n  if ($tensors.length === 1) {\n    return $tensors[0].expandDims(axis);\n  }\n  const rank = $tensors[0].rank;\n  const shape = $tensors[0].shape;\n  const dtype = $tensors[0].dtype;\n\n  util.assert(axis <= rank, () => 'Axis must be <= rank of the tensor');\n\n  $tensors.forEach(t => {\n    util.assertShapesMatch(\n        shape, t.shape,\n        'All tensors passed to stack must have matching shapes');\n  });\n\n  $tensors.forEach(t => {\n    util.assert(\n        dtype === t.dtype,\n        () => 'All tensors passed to stack must have matching dtypes');\n  });\n  const expandedTensors = $tensors.map(t => t.expandDims(axis));\n  return concat(expandedTensors, axis);\n}\n\n/**\n * This operation reshapes the \"batch\" dimension 0 into `M + 1` dimensions of\n * shape `blockShape + [batch]`, interleaves these blocks back into the grid\n * defined by the spatial dimensions `[1, ..., M]`, to obtain a result with\n * the same rank as the input. The spatial dimensions of this intermediate\n * result are then optionally cropped according to `crops` to produce the\n * output. This is the reverse of `tf.spaceToBatchND`. See below for a precise\n * description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [4, 1, 1, 1]);\n * const blockShape = [2, 2];\n * const crops = [[0, 0], [0, 0]];\n *\n * x.batchToSpaceND(blockShape, crops).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param crops A 2-D array.  Must have shape `[M, 2]`, all values must be >= 0.\n * `crops[i] = [cropStart, cropEnd]` specifies the amount to crop from input\n * dimension `i + 1`, which corresponds to spatial dimension `i`. It is required\n * that `cropStart[i] + cropEnd[i] <= blockShape[i] * inputShape[i + 1]`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Reshape `x` to `reshaped` of shape: `[blockShape[0], ...,\n * blockShape[M-1], batch / prod(blockShape), x.shape[1], ...,\n * x.shape[N-1]]`\n *\n * 2. Permute dimensions of `reshaped`to produce `permuted` of shape `[batch /\n * prod(blockShape),x.shape[1], blockShape[0], ..., x.shape[M],\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 3. Reshape `permuted` to produce `reshapedPermuted` of shape `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0], ..., x.shape[M] *\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 4. Crop the start and end of dimensions `[1, ..., M]` of `reshapedPermuted`\n * according to `crops` to produce the output of shape: `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0] - crops[0,0] - crops[0,1],\n * ..., x.shape[M] * blockShape[M-1] - crops[M-1,0] -\n * crops[M-1,1],x.shape[M+1], ..., x.shape[N-1]]`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction batchToSpaceND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], crops: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'batchToSpaceND');\n  const prod = blockShape.reduce((a, b) => a * b);\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank is ${$x.rank} but should be > than blockShape.length ${\n          blockShape.length}`);\n\n  util.assert(\n      crops.length === blockShape.length,\n      () => `crops.length is ${\n          crops.length} but should be equal to blockShape.length  ${\n          blockShape.length}`);\n\n  util.assert(\n      $x.shape[0] % prod === 0,\n      () => `input tensor batch is ${\n                $x.shape[0]} but is not divisible by the product of ` +\n          `the elements of blockShape ${blockShape.join(' * ')} === ${prod}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.spaceToBatchND(blockShape, crops)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.batchToSpaceND($x, blockShape, crops), {$x}, grad);\n}\n\n/**\n * This operation divides \"spatial\" dimensions `[1, ..., M]` of the input into\n * a grid of blocks of shape `blockShape`, and interleaves these blocks with\n * the \"batch\" dimension (0) such that in the output, the spatial\n * dimensions `[1, ..., M]` correspond to the position within the grid,\n * and the batch dimension combines both the position within a spatial block\n * and the original batch position. Prior to division into blocks,\n * the spatial dimensions of the input are optionally zero padded\n * according to `paddings`. See below for a precise description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n * const blockShape = [2, 2];\n * const paddings = [[0, 0], [0, 0]];\n *\n * x.spaceToBatchND(blockShape, paddings).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param paddings A 2-D array. Must have shape `[M, 2]`, all values must be >=\n *     0. `paddings[i] = [padStart, padEnd]` specifies the amount to zero-pad\n * from input dimension `i + 1`, which corresponds to spatial dimension `i`. It\n * is required that\n * `(inputShape[i + 1] + padStart + padEnd) % blockShape[i] === 0`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Zero-pad the start and end of dimensions `[1, ..., M]` of the input\n * according to `paddings` to produce `padded` of shape paddedShape.\n *\n * 2. Reshape `padded` to `reshapedPadded` of shape:\n * `[batch] + [paddedShape[1] / blockShape[0], blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1], blockShape[M-1]] + remainingShape`\n *\n * 3. Permute dimensions of `reshapedPadded` to produce `permutedReshapedPadded`\n * of shape: `blockShape + [batch] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n *\n * 4. Reshape `permutedReshapedPadded` to flatten `blockShape` into the\n * batch dimension, producing an output tensor of shape:\n * `[batch * prod(blockShape)] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction spaceToBatchND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], paddings: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'spaceToBatchND');\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank ${$x.rank} should be > than [blockShape] ${\n          blockShape.length}`);\n\n  util.assert(\n      paddings.length === blockShape.length,\n      () => `paddings.shape[0] ${\n          paddings.length} must be equal to [blockShape] ${blockShape.length}`);\n\n  util.assert(\n      $x.shape.reduce(\n          (a, b, i) => {\n            if (i > 0 && i <= blockShape.length) {\n              return a &&\n                  ((b + paddings[i - 1][0] + paddings[i - 1][1]) %\n                       blockShape[i - 1] ===\n                   0);\n            }\n            return a;\n          },\n          true),\n      () => `input spatial dimensions ${$x.shape.slice(1)} with paddings ${\n          paddings.toString()} must be divisible by blockShapes ${\n          blockShape.toString()}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.batchToSpaceND(blockShape, paddings)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.spaceToBatchND($x, blockShape, paddings), {$x}, grad);\n}\n\n/**\n * Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * tf.unstack(a).forEach(tensor => tensor.print());\n * ```\n *\n * @param x A tensor object.\n * @param axis The axis to unstack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction unstack_(x: Tensor|TensorLike, axis = 0): Tensor[] {\n  axis = axis || 0;\n  const $x = convertToTensor(x, 'x', 'unstack');\n  util.assert(\n      axis >= -$x.shape.length && axis < $x.shape.length,\n      () =>\n          `Axis = ${axis} is not in [-${$x.shape.length}, ${$x.shape.length})`);\n  if (axis < 0) {\n    axis += $x.shape.length;\n  }\n  const grad = (dy: Tensor[]) => {\n    return {x: () => stack(dy, axis)};\n  };\n  const attrs = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.unstack($x, axis), {x: $x}, grad, 'Unpack', attrs);\n}\n\n/**\n * Computes the cumulative sum of a `tf.Tensor` along `axis`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4]);\n * x.cumsum().print();\n * ```\n * ```js\n * const x = tf.tensor([[1, 2], [3, 4]]);\n * x.cumsum().print();\n * ```\n *\n * @param x The input tensor to be summed.\n * @param axis The axis along which to sum. Optional. Defaults to 0.\n * @param exclusive Whether to perform exclusive cumulative sum. Optional.\n *     Defaults to false. If set to true then the sum of each tensor entry\n *     does not include its own value, but only the values previous to it\n *     along the specified axis.\n * @param reverse Whether to sum in the opposite direction. Optional.\n *     Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Scan'} */\nfunction cumsum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis = 0, exclusive = false, reverse = false): T {\n  const $x = convertToTensor(x, 'x', 'cumsum');\n\n  axis = axis | 0;\n  const permutation = getAxesPermutation([axis], $x.rank);\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n  }\n  const permutedAxis = getInnerMostAxes(1, $x.rank)[0];\n\n  const grad = (dy: T) => {\n    return {permutedX: () => dy.cumsum(axis, exclusive, !reverse)};\n  };\n  let value = ENGINE.runKernelFunc(\n                  backend => backend.cumsum(\n                      permutedX, permutedAxis, exclusive, reverse),\n                  {permutedX}, grad) as T;\n\n  if (permutation != null) {\n    value = value.transpose(permutation);\n  }\n  return value;\n}\n\n/**\n * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n * into the tensor's shape.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const axis = 1;\n * x.expandDims(axis).print();\n * ```\n *\n * @param x The input tensor whose dimensions to be expanded.\n * @param axis The dimension index at which to insert shape of `1`. Defaults\n *     to 0 (the first dimension).\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction expandDims_<R2 extends Rank>(\n    x: Tensor|TensorLike, axis = 0): Tensor<R2> {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'expandDims', parseAs);\n\n  util.assert(axis <= $x.rank, () => 'Axis must be <= rank of the tensor');\n  const newShape = $x.shape.slice();\n  if (axis < 0) {\n    // Negative value is counted from the tail of rank.\n    util.assert(\n        -($x.rank + 1) <= axis,\n        () => `Axis must be in the interval [${- ($x.rank + 1)}, ${$x.rank}]`);\n    axis = $x.rank + axis + 1;\n  }\n  newShape.splice(axis, 0, 1);\n  return reshape($x, newShape as ShapeMap[R2]);\n}\n\n/**\n * Rearranges data from depth into blocks of spatial data. More specifically,\n * this op outputs a copy of the input tensor where values from the `depth`\n * dimension are moved in spatial blocks to the `height` and `width` dimensions.\n * The attr `blockSize` indicates the input block size and how the data is\n * moved.\n *\n *  - Chunks of data of size `blockSize * blockSize` from depth are rearranged\n * into non-overlapping blocks of size `blockSize x blockSize`\n *\n *  - The width the output tensor is `inputWidth * blockSize`, whereas the\n * height is `inputHeight * blockSize`\n *\n *  - The Y, X coordinates within each block of the output image are determined\n * by the high order component of the input channel index\n *\n *  - The depth of the input tensor must be divisible by `blockSize *\n * blockSize`\n *\n * The `dataFormat` attr specifies the layout of the input and output tensors\n * with the following options: \"NHWC\": [ `batch, height, width, channels` ]\n * \"NCHW\": [ `batch, channels, height, width` ]\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);\n * const blockSize = 2;\n * const dataFormat = \"NHWC\";\n *\n * tf.depthToSpace(x, blockSize, dataFormat).print();\n * ```\n *\n * @param x The input tensor of rank 4\n * @param blockSIze  An `int` that is `>= 2`. The size of the spatial block\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to \"NHWC\"\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction depthToSpace_(\n    x: Tensor4D|TensorLike4D, blockSize: number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'depthToSpace') as Tensor4D;\n\n  const inputHeight = (dataFormat === 'NHWC') ? $x.shape[1] : $x.shape[2];\n  const inputWidth = (dataFormat === 'NHWC') ? $x.shape[2] : $x.shape[3];\n  const inputDepth = (dataFormat === 'NHWC') ? $x.shape[3] : $x.shape[1];\n\n  util.assert(\n      inputHeight * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputHeight} and ${blockSize}  for depthToSpace with input shape\n      ${$x.shape}`);\n\n  util.assert(\n      inputWidth * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputWidth} and ${blockSize} for depthToSpace with input shape\n          ${$x.shape}`);\n\n  util.assert(\n      (inputDepth % (blockSize * blockSize) === 0),\n      () => `Dimension size must be evenly divisible by ${\n          blockSize * blockSize} but is ${\n          inputDepth} for depthToSpace with input shape ${$x.shape}`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.depthToSpace($x, blockSize, dataFormat), {$x});\n}\n\n/**\n * Computes the difference between two lists of numbers.\n *\n * Given a Tensor `x` and a Tensor `y`, this operation returns a Tensor `out`\n * that represents all values that are in `x` but not in `y`. The returned\n * Tensor `out` is sorted in the same order that the numbers appear in `x`\n * (duplicates are preserved). This operation also returns a Tensor indices that\n * represents the position of each out element in `x`. In other words:\n *\n * `out[i] = x[idx[i]] for i in [0, 1, ..., out.length - 1]`\n *\n * ```js\n * const x = [1, 2, 3, 4, 5, 6];\n * const y = [1, 3, 5];\n *\n * const [out, indices] = await tf.setdiff1dAsync(x, y);\n * out.print(); // [2, 4, 6]\n * indices.print(); // [1, 3, 5]\n * ```\n *\n * @param x 1-D Tensor. Values to keep.\n * @param y 1-D Tensor. Must have the same type as x. Values to exclude in the\n *     output.\n * @returns Promise of Tensor tuple [out, indices].\n *  out: Tensor with the same type as x.\n *  indices: A Tensor of type int32.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nasync function setdiff1dAsync_(\n    x: Tensor|TensorLike, y: Tensor|TensorLike): Promise<[Tensor, Tensor]> {\n  const $x = convertToTensor(x, 'x', 'setdiff1d');\n  const $y = convertToTensor(y, 'y', 'setdiff1d');\n\n  util.assert(\n      $x.dtype === $y.dtype,\n      () => `x and y should have the same dtype, but got x (${\n          $x.dtype}) and y (${$y.dtype}).`);\n\n  util.assert(\n      $x.rank === 1, () => `x should be 1D tensor, but got x (${$x.shape}).`);\n\n  util.assert(\n      $y.rank === 1, () => `y should be 1D tensor, but got y (${$y.shape}).`);\n\n  const xVals = await $x.data();\n  const yVals = await $y.data();\n  const ySet = new Set(yVals);\n\n  let outputSize = 0;\n  for (let i = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      outputSize++;\n    }\n  }\n\n  const buffer = new TensorBuffer([outputSize], $x.dtype);\n  const indices = new TensorBuffer([outputSize], 'int32');\n  for (let i = 0, p = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      buffer.values[p] = xVals[i];\n      indices.values[p] = i;\n      p++;\n    }\n  }\n  return [buffer.toTensor(), indices.toTensor()];\n}\n\n/**\n * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.\n *\n * The values are stored in CPU as `TypedArray`. Fill the buffer using\n * `buffer.set()`, or by modifying directly `buffer.values`.\n *\n * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with\n * those values.\n *\n * ```js\n * // Create a buffer and set values at particular indices.\n * const buffer = tf.buffer([2, 2]);\n * buffer.set(3, 0, 0);\n * buffer.set(5, 1, 0);\n *\n * // Convert the buffer back to a tensor.\n * buffer.toTensor().print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The dtype of the buffer. Defaults to 'float32'.\n * @param values The values of the buffer as `TypedArray`. Defaults to\n * zeros.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nexport function buffer<R extends Rank, D extends DataType = 'float32'>(\n    shape: ShapeMap[R], dtype: D = 'float32' as D,\n    values?: DataTypeMap[D]): TensorBuffer<R, D> {\n  dtype = dtype || 'float32' as D;\n  util.assertNonNegativeIntegerDimensions(shape);\n  return new TensorBuffer<R, D>(shape, dtype, values);\n}\n\n/**\n * Prints information about the `tf.Tensor` including its data.\n *\n * ```js\n * const verbose = true;\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print(verbose);\n * ```\n * @param x The tensor to be printed.\n * @param verbose Whether to print verbose information about the ` Tensor`,\n * including dtype and size.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction print<T extends Tensor>(x: T, verbose = false): void {\n  console.log(x.toString(verbose));\n}\n\nexport {\n  print  // Not wrapped in op() since no need to increase stack trace.\n};\n\nexport const batchToSpaceND = op({batchToSpaceND_});\nexport const cast = op({cast_});\nexport const cumsum = op({cumsum_});\nexport const depthToSpace = op({depthToSpace_});\nexport const expandDims = op({expandDims_});\nexport const reshape = op({reshape_});\nexport const spaceToBatchND = op({spaceToBatchND_});\nexport const squeeze = op({squeeze_});\nexport const stack = op({stack_});\nexport const unstack = op({unstack_});\nexport const setdiff1dAsync = setdiff1dAsync_;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Gets the new shape of the input Tensor after it's been reshaped\n * to:\n * [blockShape[0], ..., blockShape[M-1], batch / prod(blockShape),\n * inputShape[1], ..., inputShape[N-1]]\n *\n * See step 1: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshaped(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  let reshaped: number[] = [];\n  if (batchToSpace) {\n    reshaped = reshaped.concat(blockShape.slice(0));\n    reshaped.push(inputShape[0] / prod);\n    reshaped = reshaped.concat(inputShape.slice(1));\n  } else {\n    reshaped = reshaped.concat(inputShape[0]);\n    const spatialLength = blockShape.length;\n    for (let i = 0; i < spatialLength; ++i) {\n      reshaped =\n          reshaped.concat([inputShape[i + 1] / blockShape[i], blockShape[i]]);\n    }\n    reshaped = reshaped.concat(inputShape.slice(spatialLength + 1));\n  }\n  return reshaped;\n}\n\n/**\n * Gets the permutation that will transpose the dimensions of the\n * reshaped tensor to shape:\n *\n * [batch / prod(block_shape),inputShape[1], blockShape[0], ...,\n * inputShape[M], blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * see step 2: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getPermuted(\n    reshapedRank: number, blockShapeRank: number,\n    batchToSpace = true): number[] {\n  const permuted = [];\n  if (batchToSpace) {\n    permuted.push(blockShapeRank);\n    for (let i = blockShapeRank + 1; i < reshapedRank; ++i) {\n      if (i <= 2 * blockShapeRank) {\n        permuted.push(i);\n        permuted.push(i - (blockShapeRank + 1));\n      } else {\n        permuted.push(i);\n      }\n    }\n  } else {\n    const permutedBeforeBatch = [];\n    const permutedAfterBatch = [];\n    for (let i = 1; i < reshapedRank; ++i) {\n      if (i >= blockShapeRank * 2 + 1 || i % 2 === 1) {\n        permutedAfterBatch.push(i);\n      } else {\n        permutedBeforeBatch.push(i);\n      }\n    }\n    permuted.push(...permutedBeforeBatch);\n    permuted.push(0);\n    permuted.push(...permutedAfterBatch);\n  }\n  return permuted;\n}\n\n/**\n * Gets the shape of the reshaped and permuted input Tensor before any cropping\n * is applied.  The new shape will be:\n *\n * [batch / prod(blockShape),inputShape[1] * blockShape[0], ...,\n * inputShape[M] * blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 3: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshapedPermuted(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  const reshapedPermuted = [];\n\n  if (batchToSpace) {\n    reshapedPermuted.push(inputShape[0] / prod);\n  } else {\n    reshapedPermuted.push(inputShape[0] * prod);\n  }\n\n  for (let i = 1; i < inputShape.length; ++i) {\n    if (i <= blockShape.length) {\n      if (batchToSpace) {\n        reshapedPermuted.push(blockShape[i - 1] * inputShape[i]);\n      } else {\n        reshapedPermuted.push(inputShape[i] / blockShape[i - 1]);\n      }\n    } else {\n      reshapedPermuted.push(inputShape[i]);\n    }\n  }\n\n  return reshapedPermuted;\n}\n\n/**\n * Converts the crops argument into the beginning coordinates of a slice\n * operation.\n */\nexport function getSliceBeginCoords(\n    crops: number[][], blockShape: number): number[] {\n  const sliceBeginCoords = [0];\n  for (let i = 0; i < blockShape; ++i) {\n    sliceBeginCoords.push(crops[i][0]);\n  }\n  return sliceBeginCoords;\n}\n\n/**\n * Converts the crops argument into the size of a slice operation.  When\n * combined with getSliceBeginCoords this function allows the reshaped and\n * permuted Tensor to be cropped to its final output shape of:\n *\n * inputShape[1] * blockShape[0] - crops[0,0] - crops[0,1], ...,\n * inputShape[M] * blockShape[M-1] -crops[M-1,0] -\n * crops[M-1,1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 4: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getSliceSize(\n    uncroppedShape: number[], crops: number[][], blockShape: number): number[] {\n  const sliceSize = uncroppedShape.slice(0, 1);\n  for (let i = 0; i < blockShape; ++i) {\n    sliceSize.push(uncroppedShape[i + 1] - crops[i][0] - crops[i][1]);\n  }\n\n  return sliceSize;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// Allow UpperCamelCase variable names\n// tslint:disable: variable-name\n// Unfortunately just enabling PascalCase per file (tslint:enable:\n// allow-pascal-case) doesn't work.\nimport {NamedTensorInfoMap, TensorInfo} from './kernel_registry';\nimport {PixelData} from './types';\n\nexport const Add = 'Add';\nexport type AddInputs = BinaryInputs;\n\nexport const AddN = 'AddN';\nexport type AddNInputs = TensorInfo[];\n\nexport type BinaryInputs = Pick<NamedTensorInfoMap, 'a'|'b'>;\n\nexport const Div = 'Div';\nexport type DivInputs = BinaryInputs;\n\nexport const FusedBatchNorm = 'FusedBatchNorm';\nexport type FusedBatchNormInputs =\n    Pick<NamedTensorInfoMap, 'x'|'scale'|'offset'|'mean'|'variance'>;\nexport interface FusedBatchNormAttrs {\n  varianceEpsilon: number;\n}\n\nexport const SquaredDifference = 'SquaredDifference';\nexport type SquaredDifferenceInputs = BinaryInputs;\n\nexport const Square = 'Square';\nexport type SquareInputs = Pick<NamedTensorInfoMap, 'x'>;\n\nexport const Transpose = 'Transpose';\nexport type TransposeInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface TransposeAttrs {\n  perm: number[];\n}\n\nexport const NonMaxSuppressionV5 = 'NonMaxSuppressionV5';\nexport type NonMaxSuppressionV5Inputs =\n    Pick<NamedTensorInfoMap, 'boxes'|'scores'>;\nexport interface NonMaxSuppressionV5Attrs {\n  maxOutputSize: number;\n  iouThreshold: number;\n  scoreThreshold: number;\n  softNmsSigma: number;\n}\n\nexport const BroadcastTo = 'BroadcastTo';\nexport type BroadcastToInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface BroadCastToAttrs {\n  shape: number[];\n  inputShape: number[];  // for gradient\n}\n\nexport const OneHot = 'OneHot';\nexport type OneHotInputs = Pick<NamedTensorInfoMap, 'indices'>;\nexport interface OneHotAttrs {\n  depth: number;\n  onValue: number;\n  offValue: number;\n}\n\nexport const Identity = 'Identity';\nexport type IdentityInputs = Pick<NamedTensorInfoMap, 'x'>;\n\nexport const Tile = 'Tile';\nexport type TileInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface TileAttrs {\n  reps: number[];\n}\n\nexport const PadV2 = 'PadV2';\nexport type PadV2Inputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface PadV2Attrs {\n  paddings: Array<[number, number]>;\n  constantValue: number;\n}\n\n/**\n * TensorFlow.js-only kernels\n */\nexport const FromPixels = 'FromPixels';\nexport interface FromPixelsInputs {\n  pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n      HTMLVideoElement;\n}\nexport interface FromPixelsAttrs {\n  numChannels: number;\n}\n\nexport const MaxPoolWithArgmax = 'MaxPoolWithArgmax';\nexport type MaxPoolWithArgmaxInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface MaxPoolWithArgmaxAttrs {\n  filterSize: [number, number]|number;\n  strides: [number, number]|number;\n  pad: 'valid'|'same'|number;\n  includeBatchInIndex: boolean;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Add, AddInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B. Supports broadcasting.\n *\n * We also expose `tf.addStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n *\n * ```js\n * // Broadcast add a with b.\n * const a = tf.scalar(5);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n * @param a The first `tf.Tensor` to add.\n * @param b The second `tf.Tensor` to add. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction add_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'add');\n  let $b = convertToTensor(b, 'b', 'add');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.add($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: AddInputs = {a: $a, b: $b};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* gradient */,\n             Add) as T;\n}\n\nexport const add = op({add_});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Returns the dimensions in the input shape that are broadcasted to\n * produce the provided output shape.\n *\n * The returned dimensions are 0-indexed and sorted. An example:\n * inShape = [4, 1, 3]\n * outShape = [5, 4, 3, 3]\n * result = [1]. Dimension 1 (2nd dimension of input) gets broadcasted 1 => 3.\n */\nexport function getBroadcastDims(\n    inShape: number[], outShape: number[]): number[] {\n  const inRank = inShape.length;\n  const dims: number[] = [];\n  for (let i = 0; i < inRank; i++) {\n    const dim = inRank - 1 - i;\n    const a = inShape[dim] || 1;\n    const b = outShape[outShape.length - 1 - i] || 1;\n    if (b > 1 && a === 1) {\n      dims.unshift(dim);\n    }\n  }\n  return dims;\n}\n\n/**\n * Returns the axes in the output space that should be reduced to produce\n * the input space.\n */\nexport function getReductionAxes(\n    inShape: number[], outShape: number[]): number[] {\n  const result: number[] = [];\n  for (let i = 0; i < outShape.length; i++) {\n    const inDim = inShape[inShape.length - i - 1];\n    const outAxis = outShape.length - i - 1;\n    const outDim = outShape[outAxis];\n    if (inDim == null || (inDim === 1 && outDim > 1)) {\n      result.unshift(outAxis);\n    }\n  }\n  return result;\n}\n\nexport function assertAndGetBroadcastShape(\n    shapeA: number[], shapeB: number[]): number[] {\n  const result: number[] = [];\n  const l = Math.max(shapeA.length, shapeB.length);\n\n  for (let i = 0; i < l; i++) {\n    let a = shapeA[shapeA.length - i - 1];\n    if (a == null) {\n      a = 1;\n    }\n    let b = shapeB[shapeB.length - i - 1];\n    if (b == null) {\n      b = 1;\n    }\n    if (a === 1) {\n      result.unshift(b);\n    } else if (b === 1) {\n      result.unshift(a);\n    } else if (a !== b) {\n      const errMsg = `Operands could not be broadcast together with shapes ` +\n          `${shapeA} and ${shapeB}.`;\n      throw Error(errMsg);\n    } else {\n      result.unshift(a);\n    }\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes `-1 * x` element-wise.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, -2, 0], [2, 2]);\n *\n * x.neg().print();  // or tf.neg(x)\n * ```\n *\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction neg_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'neg');\n\n  const grad = (dy: T) => {\n    return {x: () => dy.neg()};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc(\n      backend => backend.neg($x), {x: $x}, grad, 'Neg', attrs, inputsToSave);\n}\n\n/**\n * Computes ceiling of input `tf.Tensor` element-wise: `ceil(x)`\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.ceil().print();  // or tf.ceil(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction ceil_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'ceil');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.ceil($x), {$x}, grad);\n}\n\n/**\n * Computes floor of input `tf.Tensor` element-wise: `floor(x)`.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.floor().print();  // or tf.floor(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction floor_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'floor');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.floor($x), {$x}, grad);\n}\n\n/**\n * Returns an element-wise indication of the sign of a number.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3, NaN, 0]);\n *\n * x.sign().print();  // or tf.sign(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sign_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sign');\n\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.sign($x), {$x}, grad);\n}\n\n/**\n * RReturns which elements of x are NaN.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isNaN().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isNaN_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isNaN');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isNaN($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are Infinity or -Infinity.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isInf().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isInf_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isInf');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isInf($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are finite.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isFinite().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isFinite_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isFinite');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isFinite($x), {$x}, grad);\n}\n\n/**\n * Computes round of input `tf.Tensor` element-wise: `round(x)`.\n * It implements banker's rounding.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.round().print();  // or tf.round(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction round_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'round');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.round($x), {$x}, grad);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` element-wise. `e ^ x`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.exp().print();  // or tf.exp(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction exp_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'exp');\n\n  const bck = (dy: T, saved: Tensor[]) => {\n    return {x: () => dy.mulStrict(saved[0] as T)};\n  };\n  const attrs = {};\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.exp($x);\n    save([y]);\n    return y;\n  }, {x: $x}, bck, 'Exp', attrs, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` minus one element-wise.\n * `e ^ x - 1`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.expm1().print();  // or tf.expm1(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction expm1_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'expm1');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.exp())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.expm1($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` element-wise: `ln(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E]);\n *\n * x.log().print();  // or tf.log(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.toFloat())} as {x: () => T};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Log', attrs, inputsToSave);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` plus one\n * element-wise: `ln(1 + x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E - 1]);\n *\n * x.log1p().print();  // or tf.log1p(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log1p_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log1p');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log1p($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes square root of the input `tf.Tensor` element-wise: `y = sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.sqrt().print();  // or tf.sqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().sqrt().mul(2))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sqrt($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes reciprocal of square root of the input `tf.Tensor` element-wise:\n * `y = 1 / sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.rsqrt().print();  // or tf.rsqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction rsqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'rsqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.pow(1.5).mul(2)).neg() as T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.rsqrt($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Rsqrt', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes reciprocal of x element-wise: `1 / x`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, 2]);\n *\n * x.reciprocal().print();  // or tf.reciprocal(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction reciprocal_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'reciprocal');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.square().neg())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.reciprocal($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes absolute value element-wise: `abs(x)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.abs().print();  // or tf.abs(x)\n * ```\n * @param x The input `tf.Tensor`.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction abs_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'abs');\n\n  if ($x.dtype === 'complex64') {\n    return ENGINE.runKernelFunc(backend => backend.complexAbs($x), {$x});\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mul($x.toFloat().step(-1))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.abs($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Abs');\n}\n\n/**\n * Clips values element-wise. `max(min(x, clipValueMax), clipValueMin)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.clipByValue(-2, 3).print();  // or tf.clipByValue(x, -2, 3)\n * ```\n * @param x The input tensor.\n * @param clipValueMin Lower-bound of range to be clipped to.\n * @param clipValueMax Upper-bound of range to be clipped to.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction clipByValue_<T extends Tensor>(\n    x: T|TensorLike, clipValueMin: number, clipValueMax: number): T {\n  const $x = convertToTensor(x, 'x', 'clipByValue');\n  util.assert(\n      (clipValueMin <= clipValueMax),\n      () => `Error in clip: min (${clipValueMin}) must be ` +\n          `less than or equal to max (${clipValueMax}).`);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      x: () => dy.where(\n                   $x.greaterEqual(clipValueMin)\n                       .logicalAnd($x.lessEqual(clipValueMax)),\n                   zerosLike(dy)) as T,\n    };\n  };\n  const inputsToSave = [$x];\n  const attr = {min: clipValueMin, max: clipValueMax};\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.clip($x, clipValueMin, clipValueMax);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ClipByValue', attr, inputsToSave);\n}\n\n/**\n * Computes sigmoid element-wise, `1 / (1 + exp(-x))`\n *\n * ```js\n * const x = tf.tensor1d([0, -1, 2, -3]);\n *\n * x.sigmoid().print();  // or tf.sigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => dy.mul(y.mul(scalar(1).sub(y)))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.sigmoid($x);\n    save([y]);\n    return y;\n  }, {x: $x}, grad, 'Sigmoid');\n}\n\n/**\n * Computes log sigmoid of the input `tf.Tensor` element-wise:\n * `logSigmoid(x)`. For numerical stability, we use `-tf.softplus(-x)`.\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.logSigmoid().print();  // or tf.logSigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction logSigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logSigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.neg().sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x.neg()).neg();\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes softplus of the input `tf.Tensor` element-wise: `log(exp(x) + 1)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.softplus().print();  // or tf.softplus(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction softplus_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'softplus');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes sin of the input Tensor element-wise: `sin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.sin().print();  // or tf.sin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().cos().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sin($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Sin', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes cos of the input `tf.Tensor` element-wise: `cos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.cos().print();  // or tf.cos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().sin().neg().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cos($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Cos', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes tan of the input `tf.Tensor` element-wise, `tan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.tan().print();  // or tf.tan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.cos().square())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.tan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes asin of the input `tf.Tensor` element-wise: `asin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asin().print();  // or tf.asin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asin($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes acos of the input `tf.Tensor` element-wise: `acos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.acos().print();  // or tf.acos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () =>\n          dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T).neg()\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acos($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes atan of the input `tf.Tensor` element-wise: `atan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.atan().print();  // or tf.atan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().square().add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic sin of the input `tf.Tensor` element-wise: `sinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.sinh().print();  // or tf.sinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().cosh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic cos of the input `tf.Tensor` element-wise: `cosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.cosh().print();  // or tf.cosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().sinh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic tangent of the input `tf.Tensor` element-wise: `tanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, 70]);\n *\n * x.tanh().print();  // or tf.tanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => scalar(1).sub(y.square()).mulStrict(dy) as T};\n  };\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.tanh($x);\n        save([y]);\n        return y;\n      },\n      {x: $x}, grad, 'Tanh', {} /* attrs */, null /* inputsToSave */,\n      outputsToSave);\n}\n\n/**\n * Computes inverse hyperbolic sin of the input `tf.Tensor` element-wise:\n * `asinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asinh().print();  // or tf.asinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).add($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes the inverse hyperbolic cos of the input `tf.Tensor` element-wise:\n * `acosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([10, 1, 3, 5.7]);\n *\n * x.acosh().print();  // or tf.acosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.divStrict($x.toFloat().square().sub(1).sqrt() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes inverse hyperbolic tan of the input `tf.Tensor` element-wise:\n * `atanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.atanh().print();  // or tf.atanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div(scalar(1).sub($x.toFloat().square()))} as\n        {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atanh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes gause error function of the input `tf.Tensor` element-wise:\n * `erf(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.erf().print(); // or tf.erf(x);\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction erf_<T extends Tensor>(x: T|TensorLike): T {\n  let $x = convertToTensor(x, 'x', 'erf');\n  util.assert(\n      $x.dtype === 'int32' || $x.dtype === 'float32',\n      () => 'Input dtype must be `int32` or `float32`.');\n\n  if ($x.dtype === 'int32') {\n    $x = $x.toFloat();\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.mul($x.square().neg().exp().mul(2 / Math.sqrt(Math.PI)))\n    } as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.erf($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes step of the input `tf.Tensor` element-wise: `x > 0 ? 1 : alpha * x`\n *\n * ```js\n * const x = tf.tensor1d([0, 2, -1, -3]);\n *\n * x.step(.5).print();  // or tf.step(x, .5)\n * ```\n * @param x The input tensor.\n * @param alpha The gradient when input is negative.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction step_<T extends Tensor>(x: T|TensorLike, alpha = 0.0): T {\n  const $x = convertToTensor(x, 'x', 'step');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports\n  // it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.step($x, alpha), {$x}, grad);\n}\n\nexport const abs = op({abs_});\nexport const acos = op({acos_});\nexport const acosh = op({acosh_});\nexport const asin = op({asin_});\nexport const asinh = op({asinh_});\nexport const atan = op({atan_});\nexport const atanh = op({atanh_});\nexport const ceil = op({ceil_});\nexport const clipByValue = op({clipByValue_});\nexport const cos = op({cos_});\nexport const cosh = op({cosh_});\nexport const erf = op({erf_});\nexport const exp = op({exp_});\nexport const expm1 = op({expm1_});\nexport const floor = op({floor_});\nexport const log = op({log_});\nexport const log1p = op({log1p_});\nexport const logSigmoid = op({logSigmoid_});\nexport const neg = op({neg_});\nexport const reciprocal = op({reciprocal_});\nexport const round = op({round_});\nexport const rsqrt = op({rsqrt_});\nexport const sigmoid = op({sigmoid_});\nexport const sign = op({sign_});\nexport const isNaN = op({isNaN_});\nexport const isInf = op({isInf_});\nexport const isFinite = op({isFinite_});\nexport const sin = op({sin_});\nexport const sinh = op({sinh_});\nexport const softplus = op({softplus_});\nexport const sqrt = op({sqrt_});\nexport const step = op({step_});\nexport const tan = op({tan_});\nexport const tanh = op({tanh_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './add';\nimport * as broadcast_util from './broadcast_util';\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\nimport {neg} from './unary_ops';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B.\n *\n * Inputs must be the same shape. For broadcasting support, use add() instead.\n *\n * @param a The first Tensor to add element-wise.\n * @param b The second Tensor to add element-wise.\n */\nfunction addStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'addStrict');\n  const $b = convertToTensor(b, 'b', 'addStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in addStrict: ');\n  return $a.add($b);\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Supports broadcasting.\n *\n * We also expose `tf.subStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n *\n * ```js\n * // Broadcast subtract a with b.\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.scalar(5);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n * @param a The first `tf.Tensor` to subtract from.\n * @param b The second `tf.Tensor` to be subtracted. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction sub_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'sub');\n  let $b = convertToTensor(b, 'b', 'sub');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor) => {\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.neg().reshape($b.shape);\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc(\n             backend => backend.subtract($a, $b), {a: $a, b: $b}, der, 'Sub') as\n      T;\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.sub` instead.\n *\n * @param a The first Tensor to subtract element-wise.\n * @param b The second Tensor to subtract element-wise.\n */\nfunction subStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'subStrict');\n  const $b = convertToTensor(b, 'b', 'subStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in subStrict: ');\n  return $a.sub($b);\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Supports broadcasting.\n *\n * Given a `tf.Tensor` x and a `tf.Tensor` y, this operation computes x^y for\n * corresponding elements in x and y. The result's dtype will be the upcasted\n * type of the `base` and `exp` dtypes.\n *\n * ```js\n * const a = tf.tensor([[2, 3], [4, 5]])\n * const b = tf.tensor([[1, 2], [3, 0]]).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n *\n * ```js\n * const a = tf.tensor([[1, 2], [3, 4]])\n * const b = tf.tensor(2).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n * We also expose `powStrict` which has the same signature as this op and\n * asserts that `base` and `exp` are the same shape (does not broadcast).\n *\n * @param base The base `tf.Tensor` to pow element-wise.\n * @param exp The exponent `tf.Tensor` to pow element-wise.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction pow_<T extends Tensor>(\n    base: Tensor|TensorLike, exp: Tensor|TensorLike): T {\n  let $base = convertToTensor(base, 'base', 'pow');\n  let $exp = convertToTensor(exp, 'exp', 'pow');\n  [$base, $exp] = makeTypesMatch($base, $exp);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($base.shape, $exp.shape);\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$base, $exp, y] = saved;\n    const derBase = () => {\n      const expFloat = $exp.toFloat();\n      let res = dy.mul(expFloat.mul($base.pow(expFloat.sub(scalar(1)))));\n      const reduceAxes = broadcast_util.getReductionAxes($base.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($base.shape) as T;\n    };\n    const derExp = () => {\n      const condition = $base.greater(0);\n      const logBase = $base.log().where(condition, zerosLike($base));\n      let res = dy.mul(y.mul(logBase));\n      const reduceAxes = broadcast_util.getReductionAxes($exp.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($exp.shape);\n    };\n    return {a: derBase, b: derExp};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$base, $exp];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.pow($base, $exp);\n    save([$base, $exp, y]);\n    return y;\n  }, {a: $base, b: $exp}, grad, 'Pow', attrs, inputsToSave, outputsToSave) as T;\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.pow` instead.\n *\n * @param base The base tensor to pow element-wise.\n * @param exp The exponent tensor to pow element-wise.\n */\nfunction powStrict_<T extends Tensor>(base: T, exp: Tensor): T {\n  util.assertShapesMatch(base.shape, exp.shape, 'Error in powStrict: ');\n  return base.pow(exp);\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B. Supports broadcasting.\n *\n * We also expose `tf.mulStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([2, 3, 4, 5]);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n *\n * ```js\n * // Broadcast mul a with b.\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.scalar(5);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n * @param a The first tensor to multiply.\n * @param b The second tensor to multiply. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mul_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mul');\n  let $b = convertToTensor(b, 'b', 'mul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.mul($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      const res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.multiply($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Mul') as T;\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B.\n *\n * Inputs must be the same shape. For broadcasting support, use `tf.mul`.\n *\n * @param a The first tensor to multiply.\n * @param b The first tensor to multiply. Must have the same\n *    dtype as `a`.\n */\nfunction mulStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'mul');\n  const $b = convertToTensor(b, 'b', 'mul');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in multiplyStrict: ');\n  return $a.mul($b);\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n * The result is rounded with floor function.\n *\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.floorDiv(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.floorDiv(b).print();  // or tf.floorDiv(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction floorDiv_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'floorDiv');\n  let $b = convertToTensor(b, 'b', 'floorDiv');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.div($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes).reshape($b.shape);\n      }\n      const tmp = $b.square();\n      return res.div(tmp.toFloat()).neg();\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.floorDiv($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'FloorDiv') as T;\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Inputs must\n * be the same shape.\n *\n * @param a The first tensor as the numerator for element-wise division.\n * @param b The second tensor as the denominator for element-wise division.\n */\nfunction divStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'div');\n  const $b = convertToTensor(b, 'b', 'div');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in divideStrict: ');\n  return $a.div($b);\n}\n\n/**\n * Returns the mod of a and b element-wise.\n * `floor(x / y) * y + mod(x, y) = x`\n * Supports broadcasting.\n *\n * We also expose `tf.modStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * ```js\n * // Broadcast a mod b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mod_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mod');\n  let $b = convertToTensor(b, 'b', 'mod');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return dy.sum(reduceAxes).reshape($a.shape);\n      }\n      return dy;\n    };\n    const derB = () => {\n      const res = dy.mul($a.div($b).floor().neg());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.mod($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\n/**\n * Returns the mod of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use mod().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction modStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'modStrict');\n  const $b = convertToTensor(b, 'b', 'modStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in modStrict: ');\n  return $a.mod($b);\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `minimumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * ```js\n * // Broadcast minimum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction minimum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'minimum');\n  let $b = convertToTensor(b, 'b', 'minimum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.lessEqual($b).toFloat());\n    const derB = () => dy.mul($a.greater($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.minimum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Minimum') as T;\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use minimum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction minimumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'minimumStrict');\n  const $b = convertToTensor(b, 'b', 'minimumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in minimumStrict: ');\n  return $a.minimum($b);\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.maximumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * ```js\n * // Broadcast maximum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction maximum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'maximum');\n  let $b = convertToTensor(b, 'b', 'maximum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.greaterEqual($b).toFloat());\n    const derB = () => dy.mul($a.less($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.maximum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Maximum') as T;\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use maximum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction maximumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'maximumStrict');\n  const $b = convertToTensor(b, 'b', 'maximumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in maximumStrict: ');\n  return $a.maximum($b);\n}\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n *\n * Inputs must be the same shape. For broadcasting support, use\n * `tf.squaredDifference` instead.\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\nfunction squaredDifferenceStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'squaredDifferenceStrict');\n  const $b = convertToTensor(b, 'b', 'squaredDifferenceStrict');\n  util.assertShapesMatch(\n      $a.shape, $b.shape, 'Error in squaredDifferenceStrict: ');\n  return $a.squaredDifference($b);\n}\n\n/**\n * Computes arctangent of `tf.Tensor`s a / b element-wise: `atan2(a, b)`.\n * Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([1.0, 1.0, -1.0, .7]);\n * const b = tf.tensor1d([2.0, 13.0, 3.5, .21]);\n *\n * tf.atan2(a, b).print()\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan2_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'atan2');\n  let $b = convertToTensor(b, 'b', 'atan2');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const d = add($a.square(), $b.square());\n      let res = dy.mul($b.div(d));\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      const d = add($a.square(), $b.square());\n      let res = neg(dy.mul($a.div(d)));\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($b.shape);\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan2($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\nexport const addStrict = op({addStrict_});\nexport const atan2 = op({atan2_});\nexport const divStrict = op({divStrict_});\nexport const floorDiv = op({floorDiv_});\nexport const maximum = op({maximum_});\nexport const maximumStrict = op({maximumStrict_});\nexport const minimum = op({minimum_});\nexport const minimumStrict = op({minimumStrict_});\nexport const mod = op({mod_});\nexport const modStrict = op({modStrict_});\nexport const mul = op({mul_});\nexport const mulStrict = op({mulStrict_});\nexport const pow = op({pow_});\nexport const powStrict = op({powStrict_});\nexport const squaredDifferenceStrict = op({squaredDifferenceStrict_});\nexport const sub = op({sub_});\nexport const subStrict = op({subStrict_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Div, DivInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {floorDiv} from './binary_ops';\nimport {op} from './operation';\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction div_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'int32' && $b.dtype === 'int32') {\n    return floorDiv($a, $b);\n  }\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.realDivide($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: DivInputs = {a: $a, b: $b};\n  const attrs = {};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* gradient */, Div,\n             attrs) as T;\n}\n\nexport const div = op({div_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\nimport {computeStrides} from '../util';\n\n/**\n * Validate gather nd inputs.\n *\n * @param tensor The tensor contains the source values.\n * @param indices The tensor contains the indices to slice the source.\n *\n * @returns [resultShape, numUpdates, sliceSize, strides]\n */\nexport function prepareAndValidate(\n    tensor: Tensor, indices: Tensor): [number[], number, number, number[]] {\n  if (tensor.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the input to be rank 1 or higher,' +\n        ` but the rank was ${tensor.rank}.`);\n  }\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(\n        'tf.gatherND() expects the indices to be int32 type,' +\n        ` but the dtype was ${indices.dtype}.`);\n  }\n  if (indices.shape[indices.rank - 1] > tensor.rank) {\n    throw new Error(\n        'index innermost dimension length must be <= tensor rank; saw: ' +\n        `${indices.shape[indices.rank - 1]} vs. ${tensor.rank}`);\n  }\n\n  if (tensor.size === 0) {\n    throw new Error(\n        'Requested more than 0 entries, but input is empty.' +\n        ` Input shape: ${tensor.shape}.`);\n  }\n\n  const indicesShape = indices.shape;\n  const sliceRank = indicesShape[indicesShape.length - 1];\n\n  // The result shape is\n  //   indices.shape[:-1] + params.shape[indices.shape[-1]:]\n  let nResult = 1;\n  for (let i = 0; i < indicesShape.length - 1; ++i) {\n    nResult *= indicesShape[i];\n  }\n\n  const inputShape = tensor.shape;\n\n  const resultShape = indicesShape.slice();\n  resultShape.pop();\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < tensor.rank; ++i) {\n    sliceSize *= inputShape[i];\n    resultShape.push(inputShape[i]);\n  }\n\n  const strides =\n      [...computeStrides(tensor.shape).map(stride => stride / sliceSize),\n       1].slice(0, sliceRank);\n\n  return [resultShape, nResult, sliceSize, strides];\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inputs of size above this threshold will be parallelized by calling multiple\n * shader programs.\n */\nimport {nearestDivisor} from '../util';\n\nexport const PARALLELIZE_THRESHOLD = 30;\n\nexport interface ReduceInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n}\n\nexport function computeOptimalWindowSize(inSize: number): number {\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    return inSize;\n  }\n  return nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {TensorInfo} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {computeStrides, sizeFromShape} from '../util';\n\n/**\n * Check whether updates.shape = indices.shape[:batchDim] +\n * shape[sliceDim:]\n *\n * @param x The input tensor.\n */\nexport function validateUpdateShape(\n    shape: number[], indices: Tensor, updates: Tensor) {\n  const sliceDim = (indices.rank > 1) ? indices.shape[indices.rank - 1] : 1;\n  const batchDim = (indices.rank > 1) ? indices.rank - 1 : 1;\n\n  const shapeError = 'Must have updates.shape = indices.shape[:batchDim] + ' +\n      `shape[sliceDim:], got updates.shape: ${updates.shape}` +\n      `, indices.shape: ${indices.shape}, shape: ${shape}` +\n      `, sliceDim: ${sliceDim}, and batchDim: ${batchDim}.`;\n\n  if (updates.rank < batchDim) {\n    throw new Error(shapeError + ` update.rank < ${batchDim}. `);\n  }\n  if (shape.length < sliceDim + (updates.rank - batchDim)) {\n    throw new Error(\n        shapeError +\n        ` Output shape length < ${sliceDim + (updates.rank - batchDim)}`);\n  }\n  if (updates.rank !== batchDim + shape.length - sliceDim) {\n    throw new Error(\n        shapeError + ` update.rank != ${batchDim + shape.length - sliceDim}`);\n  }\n  for (let d = 0; d < batchDim; ++d) {\n    if (updates.shape[d] !== indices.shape[d]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d}] (${updates.shape[d]}) != indices.shape[${d}] (${\n              indices.shape[d]}).`);\n    }\n  }\n  for (let d = 0; d < updates.rank - batchDim; ++d) {\n    if (updates.shape[d + batchDim] !== shape[d + sliceDim]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d + batchDim}] (${\n              updates.shape[d + batchDim]}) != shape[${d + batchDim}] (${\n              shape[d + batchDim]})`);\n    }\n  }\n}\n\nexport interface ScatterShapeInfo {\n  sliceRank: number;\n  numUpdates: number;\n  sliceSize: number;\n  strides: number[];\n  outputSize: number;\n}\n/**\n * Validate scatter nd inputs.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n */\nexport function validateInput(\n    updates: Tensor, indices: Tensor, shape: number[]) {\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (updates.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the updates to be rank 1 or higher,' +\n        ` but the rank was ${updates.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(`The dtype of 'indices' should be int32, but got dtype: ${\n        indices.dtype}`);\n  }\n  if (shape.length < 1) {\n    throw new Error(\n        `Output rank must be greater or equal to 1, but got shape: ${shape}`);\n  }\n\n  if (shape.length === 0) {\n    if (indices.size === 0) {\n      throw new Error(`Indices specified for empty output. indices shape: ${\n          indices.shape}`);\n    }\n    if (updates.size === 0) {\n      throw new Error(`Updates specified for empty output. updates shape: ${\n          updates.shape}`);\n    }\n  }\n\n  validateUpdateShape(shape, indices, updates);\n}\n\n/**\n * Calculate the shape information for the output.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n *\n * @returns ScatterShapeInfo\n */\nexport function calculateShapes(\n    updates: TensorInfo, indices: TensorInfo,\n    shape: number[]): ScatterShapeInfo {\n  // Calculate the number of dimensions in indices\n  const indicesRank = indices.shape.length;\n  const sliceRank = (indicesRank > 1) ? indices.shape[indicesRank - 1] : 1;\n\n  // Calculate the number of elements that make up each slice of our updated\n  // tensor. This allows us to work with flattened tensors and copy over whole\n  // slices at a time.\n  const totalNd = shape.length;\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < totalNd; ++i) {\n    sliceSize *= shape[i];\n  }\n\n  const safeSliceDim = (sliceRank < 1) ? 1 : sliceRank;\n  const numUpdates = sizeFromShape(indices.shape) / safeSliceDim;\n\n  const strides = [...computeStrides(shape.slice(0, sliceRank)), 1];\n  const outputSize = sizeFromShape(shape);\n  return {sliceRank, numUpdates, sliceSize, strides, outputSize};\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\nexport function assertParamsValid(\n    input: Tensor, begin: number[], size: number[]): void {\n  util.assert(\n      input.rank === begin.length,\n      () => `Error in slice${input.rank}D: Length of begin ${begin} must ` +\n          `match the rank of the array (${input.rank}).`);\n  util.assert(\n      input.rank === size.length,\n      () => `Error in slice${input.rank}D: Length of size ${size} must ` +\n          `match the rank of the array (${input.rank}).`);\n\n  for (let i = 0; i < input.rank; ++i) {\n    util.assert(\n        begin[i] + size[i] <= input.shape[i],\n        () => `Error in slice${input.rank}D: begin[${i}] + size[${i}] ` +\n            `(${begin[i] + size[i]}) would overflow input.shape[${i}] (${\n                  input.shape[i]})`);\n  }\n}\n\n/** Converts a binary mask to an array of axes. Used in stridedSlice(). */\nexport function maskToAxes(mask: number): number[] {\n  const axes = [];\n  let axis = 0;\n  while (mask > 0) {\n    if (mask & 1) {\n      axes.push(axis);\n    }\n    mask /= 2;\n    axis++;\n  }\n  return axes;\n}\n\n/** Computes the output shape given the strided slice params. */\nexport function computeOutShape(\n    begin: number[], end: number[], strides: number[]): number[] {\n  const size = [];\n  for (let axis = 0; axis < begin.length; axis++) {\n    size[axis] = Math.ceil((end[axis] - begin[axis]) / strides[axis]);\n  }\n  return size;\n}\n\nexport function startForAxis(\n    beginMask: number, startIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let start = startIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of beginMask or the begin index is not set\n  // for the axis.\n  if (beginMask & 1 << axis || start == null) {\n    if (stride > 0) {\n      // Forward iteration - use the first element. These values will get\n      // clamped below (Note: We could have set them to 0 and axis_size-1, but\n      // use lowest() and max() to maintain symmetry with StopForAxis())\n      start = Number.MIN_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the last element.\n      start = Number.MAX_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (start < 0) {\n    start += axisSize;\n  }\n\n  // Clamping\n  start = util.clamp(0, start, axisSize - 1);\n\n  return start;\n}\n\nexport function stopForAxis(\n    endMask: number, stopIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let stop = stopIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of endMask or if the stop index is not set\n  // for this axis.\n  if (endMask & (1 << axis) || stop == null) {\n    if (stride > 0) {\n      // Forward iteration - use the last element. These values will get\n      // clamped below\n      stop = Number.MAX_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the first element.\n      stop = Number.MIN_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (stop < 0) {\n    stop += axisSize;\n  }\n\n  // Clamping\n  // Because the end index points one past the last element, we need slightly\n  // different clamping ranges depending on the direction.\n  if (stride > 0) {\n    // Forward iteration\n    stop = util.clamp(0, stop, axisSize);\n  } else {\n    // Backward iteration\n    stop = util.clamp(-1, stop, axisSize - 1);\n  }\n\n  return stop;\n}\n\n/**\n * Returns true if the slice occupies a continous set of elements in the\n * 'flat' space.\n */\nexport function isSliceContinous(\n    shape: number[], begin: number[], size: number[]) {\n  // Index of the first axis that has size > 1.\n  let firstNonOneAxis = size.length;\n  for (let i = 0; i < size.length; i++) {\n    if (size[i] > 1) {\n      firstNonOneAxis = i;\n      break;\n    }\n  }\n\n  for (let i = firstNonOneAxis + 1; i < size.length; i++) {\n    if (begin[i] > 0 || size[i] !== shape[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function computeFlatOffset(begin: number[], strides: number[]): number {\n  let flatOffset = begin.length > 0 ? begin[begin.length - 1] : 1;\n  for (let i = 0; i < begin.length - 1; i++) {\n    flatOffset += begin[i] * strides[i];\n  }\n  return flatOffset;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {CustomGradientFunc, ENGINE} from './engine';\nimport {Scalar, Tensor, Variable} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {convertToTensor, convertToTensorArray} from './tensor_util_env';\nimport {TensorLike} from './types';\nimport * as util from './util';\n\n/**\n * Provided `f(x)`, returns another function `g(x, dy?)`, which gives the\n * gradient of `f(x)` with respect to `x`.\n *\n * If `dy` is provided, the gradient of `f(x).mul(dy).sum()` with respect to\n * `x` is computed instead. `f(x)` must take a single tensor `x` and return a\n * single tensor `y`. If `f()` takes multiple inputs, use `tf.grads` instead.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.grad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * g(x).print();\n * ```\n *\n * ```js\n * // f(x) = x ^ 3\n * const f = x => x.pow(tf.scalar(3, 'int32'));\n * // f'(x) = 3x ^ 2\n * const g = tf.grad(f);\n * // f''(x) = 6x\n * const gg = tf.grad(g);\n *\n * const x = tf.tensor1d([2, 3]);\n * gg(x).print();\n * ```\n *\n * @param f The function f(x), to compute gradient for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grad(f: (x: Tensor) => Tensor): (\n    x: TensorLike|Tensor, dy?: TensorLike|Tensor) => Tensor {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grad(f) must be a function');\n  return (x: TensorLike|Tensor, dy?: TensorLike|Tensor): Tensor => {\n    // x can be of any dtype, thus null as the last argument.\n    const $x = convertToTensor(x, 'x', 'tf.grad', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grad') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f($x), [$x], $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grad(f)(x, dy) must match the shape ' +\n                'returned by f(x)');\n      }\n      checkGrads(grads);\n      return grads[0];\n    });\n  };\n}\n\n/**\n * Provided `f(x1, x2,...)`, returns another function `g([x1, x2,...], dy?)`,\n * which gives an array of gradients of `f()` with respect to each input\n * [`x1`,`x2`,...].\n *\n * If `dy` is passed when calling `g()`, the gradient of\n * `f(x1,...).mul(dy).sum()` with respect to each input is computed instead.\n * The provided `f` must take one or more tensors and return a single tensor\n * `y`. If `f()` takes a single input, we recommend using `tf.grad` instead.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df / da = b, df / db = a\n * const g = tf.grads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const [da, db] = g([a, b]);\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n *\n * @param f The function `f(x1, x2,...)` to compute gradients for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grads(f: (...args: Tensor[]) => Tensor): (\n    args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike) => Tensor[] {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grads(f) must be a function');\n  return (args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike): Tensor[] => {\n    util.assert(\n        Array.isArray(args),\n        () => 'The args passed in grads(f)(args) must be an array ' +\n            'of `Tensor`s or `TensorLike`s');\n    // args can be of any dtype, thus null as the last argument.\n    const $args = convertToTensorArray(args, 'args', 'tf.grads', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grads') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f(...$args), $args, $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grads(f)([x1,...], dy) must ' +\n                'match the shape returned by f([x1,...])');\n      }\n      checkGrads(grads);\n      return grads;\n    });\n  };\n}\n\n/**\n * Like `tf.grad`, but also returns the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grad: The gradient of `f(x)` w.r.t `x` (result of `tf.grad`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.valueAndGrad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * const {value, grad} = g(x);\n *\n * console.log('value');\n * value.print();\n * console.log('grad');\n * grad.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrad<I extends Tensor, O extends Tensor>(f: (x: I) => O): (\n    x: I, dy?: O) => {\n  value: O;\n  grad: I;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrad(f) must be a function');\n  return (x: I, dy?: O) => {\n    util.assert(\n        x instanceof Tensor,\n        () => 'The x passed in valueAndGrad(f)(x) must be a tensor');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrad(f)(x, dy) must be a tensor');\n    const {grads, value} = ENGINE.gradients(() => f(x), [x], dy);\n    checkGrads(grads);\n    return {grad: grads[0] as I, value};\n  };\n}\n\n/**\n * Like `tf.grads`, but returns also the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grads: The gradients of `f()` w.r.t each input (result of `tf.grads`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df/da = b, df/db = a\n * const g = tf.valueAndGrads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const {value, grads} = g([a, b]);\n *\n * const [da, db] = grads;\n *\n * console.log('value');\n * value.print();\n *\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrads<O extends Tensor>(f: (...args: Tensor[]) => O): (\n    args: Tensor[], dy?: O) => {\n  grads: Tensor[];\n  value: O;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrads(f) must be a function');\n  return (args: Tensor[], dy?: O) => {\n    util.assert(\n        Array.isArray(args) && args.every(arg => arg instanceof Tensor),\n        () => 'The args passed in valueAndGrads(f)(args) must be array of ' +\n            'tensors');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrads(f)(args, dy) must be a tensor');\n    const res = ENGINE.gradients(() => f(...args), args, dy);\n    if (dy != null) {\n      util.assertShapesMatch(\n          res.value.shape, dy.shape,\n          'The shape of dy passed in valueAndGrads(f)([x1,...], dy) must ' +\n              'match the shape returned by f([x1,...])');\n    }\n    checkGrads(res.grads);\n    return res;\n  };\n}\n\n/**\n * Computes and returns the gradient of f(x) with respect to the list of\n * trainable variables provided by `varList`. If no list is provided, it\n * defaults to all trainable variables.\n *\n * ```js\n * const a = tf.variable(tf.tensor1d([3, 4]));\n * const b = tf.variable(tf.tensor1d([5, 6]));\n * const x = tf.tensor1d([1, 2]);\n *\n * // f(a, b) = a * x ^ 2 + b * x\n * const f = () => a.mul(x.square()).add(b.mul(x)).sum();\n * // df/da = x ^ 2, df/db = x\n * const {value, grads} = tf.variableGrads(f);\n *\n * Object.keys(grads).forEach(varName => grads[varName].print());\n * ```\n *\n * @param f The function to execute. f() should return a scalar.\n * @param varList The list of variables to compute the gradients with respect\n *     to. Defaults to all trainable variables.\n * @returns An object with the following keys and values:\n *   - `value`: The value of the function `f`.\n *   - `grads`: A map from the names of the variables to the gradients.\n *     If the `varList` argument is provided explicitly and contains a subset of\n *     non-trainable variables, this map in the return value will contain keys\n *     that map the names of the non-trainable variables to `null`.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction variableGrads(f: () => Scalar, varList?: Variable[]):\n    {value: Scalar, grads: NamedTensorMap} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in variableGrads(f) must be a function');\n  util.assert(\n      varList == null ||\n          Array.isArray(varList) && varList.every(v => v instanceof Variable),\n      () =>\n          'The varList passed in variableGrads(f, varList) must be an array ' +\n          'of variables');\n\n  const specifiedVarList = varList != null;\n  if (!specifiedVarList) {\n    // Get all of the trainable variables.\n    varList = [];\n    for (const varName in ENGINE.registeredVariables) {\n      varList.push(ENGINE.registeredVariables[varName]);\n    }\n  }\n\n  const specifiedNonTrainable: Variable[] =\n      specifiedVarList ? varList.filter(variable => !variable.trainable) : null;\n\n  // Prune non-trainable variables.\n  const originalVarCount = varList.length;\n  varList = varList.filter(variable => variable.trainable);\n  util.assert(\n      varList.length > 0,\n      () => `variableGrads() expects at least one of the input variables to ` +\n          `be trainable, but none of the ${originalVarCount} variables is ` +\n          `trainable.`);\n\n  const allowNoGradients = true;\n  const {value, grads} = ENGINE.gradients(f, varList, null, allowNoGradients);\n\n  util.assert(\n      grads.some(g => g != null),\n      () => 'Cannot find a connection between any variable and the result of ' +\n          'the loss function y=f(x). Please make sure the operations that ' +\n          'use variables are inside the function f passed to minimize().');\n  util.assert(\n      value.rank === 0,\n      () => `The f passed in variableGrads(f) must return a scalar, but it ` +\n          `returned a rank-${value.rank} tensor`);\n\n  const namedGrads: NamedTensorMap = {};\n  varList.forEach((v, i) => {\n    if (grads[i] != null) {\n      namedGrads[v.name] = grads[i];\n    }\n  });\n  if (specifiedNonTrainable != null) {\n    // If varList is explicitly provided and contains non-trainable values,\n    // add them to the returned gradients with `null` values.\n    specifiedNonTrainable.forEach(v => namedGrads[v.name] = null);\n  }\n  return {value, grads: namedGrads};\n}\n\n/**\n * Overrides the gradient computation of a function `f`.\n *\n * Takes a function\n * `f(...inputs, save) => {value: Tensor, gradFunc: (dy, saved) => Tensor[]}`\n * and returns another function `g(...inputs)` which takes the same inputs as\n * `f`. When called, `g` returns `f().value`. In backward mode, custom gradients\n * with respect to each input of `f` are computed using `f().gradFunc`.\n *\n * The `save` function passsed to `f` should be used for saving tensors needed\n * in the gradient. And the `saved` passed to the `gradFunc` is a\n * `NamedTensorMap`, which contains those saved tensor.\n *\n * ```js\n * const customOp = tf.customGrad((x, save) => {\n *   // Save x to make sure it's available later for the gradient.\n *   save([x]);\n *   // Override gradient of our custom x ^ 2 op to be dy * abs(x);\n *   return {\n *     value: x.square(),\n *     // Note `saved.x` which points to the `x` we saved earlier.\n *     gradFunc: (dy, saved) => [dy.mul(saved[0].abs())]\n *   };\n * });\n *\n * const x = tf.tensor1d([-1, -2, 3]);\n * const dx = tf.grad(x => customOp(x));\n *\n * console.log(`f(x):`);\n * customOp(x).print();\n * console.log(`f'(x):`);\n * dx(x).print();\n * ```\n *\n * @param f The function to evaluate in forward mode, which should return\n *     `{value: Tensor, gradFunc: (dy, saved) => Tensor[]}`, where `gradFunc`\n *     returns the custom gradients of `f` with respect to its inputs.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n    (...args: Tensor[]) => T {\n  return ENGINE.customGrad(f);\n}\n\nfunction checkGrads(grads: Tensor[]) {\n  const numNullGradients = grads.filter(g => g == null).length;\n  if (numNullGradients > 0) {\n    throw new Error(\n        `Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.`);\n  }\n}\n\nexport {\n  customGrad,\n  variableGrads,\n  valueAndGrad,\n  valueAndGrads,\n  grad,\n  grads,\n};\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Computes the softmax normalized vector given the logits.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction softmax_<T extends Tensor>(logits: T|TensorLike, dim = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'softmax', 'float32');\n\n  if (dim === -1) {\n    dim = $logits.rank - 1;\n  }\n  if (dim !== $logits.rank - 1) {\n    throw Error(\n        'Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and dim was ${dim}`);\n  }\n\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.softmax($logits, dim);\n        save([y]);\n        return y;\n      },\n      {logits: $logits},\n      (dy: T, saved: Tensor[]) => {\n        const [y] = saved;\n        const dyTimesY = dy.mul(y);\n        const keepDims = true;\n\n        return {\n          logits: () => dyTimesY.sub(dyTimesY.sum([dim], keepDims).mul(y))\n        };\n      },\n      'Softmax', {dim}, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes the log softmax.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param axis The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction logSoftmax_<T extends Tensor>(logits: T|TensorLike, axis = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'logSoftmax');\n\n  if (axis === -1) {\n    axis = $logits.rank - 1;\n  }\n  if (axis !== $logits.rank - 1) {\n    throw Error(\n        'Log Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and axis was ${axis}`);\n  }\n\n  const customOp = customGrad((logits: Tensor, save: GradSaveFunc) => {\n    const keepDims = true;\n    const xMax = logits.max(axis, true);\n    const shifted = logits.sub(xMax);\n    const value =\n        shifted.toFloat().sub(shifted.exp().sum(axis, keepDims).log());\n    save([value]);\n    const gradFunc = (dy: T, saved: Tensor[]) => {\n      const [value] = saved;\n      const softmax = value.exp();\n      return dy.sub(dy.sum(axis, keepDims).mul(softmax));\n    };\n\n    return {value, gradFunc};\n  });\n\n  return customOp($logits) as T;\n}\n\nexport const softmax = op({softmax_});\nexport const logSoftmax = op({logSoftmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.\n *\n * The returned `tf.Tensor`'s dimension `i` will correspond to the input\n * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,\n * where `n` is the rank of the input `tf.Tensor`. Hence by default, this\n * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n *\n * a.transpose().print();  // or tf.transpose(a)\n * ```\n *\n * @param x The tensor to transpose.\n * @param perm The permutation of the dimensions of a.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction transpose_<T extends Tensor>(x: T|TensorLike, perm?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'transpose');\n\n  if (perm == null) {\n    perm = $x.shape.map((s, i) => i).reverse();\n  }\n  util.assert(\n      $x.rank === perm.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of perm ${perm}.`);\n  perm.forEach(axis => {\n    util.assert(\n        axis >= 0 && axis < $x.rank,\n        () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` +\n            ` but got ${perm}`);\n  });\n\n  if ($x.rank <= 1) {\n    return $x.clone();\n  }\n\n  const attrs = {perm};\n  return ENGINE.runKernelFunc(\n      backend => backend.transpose($x, perm), {x: $x}, null /* gradient */,\n      'Transpose', attrs);\n}\n\nexport const transpose = op({transpose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../ops/conv_util';\nimport {FusedBatchMatMulConfig, FusedConv2DConfig} from '../ops/fused_util';\nimport {Backend, DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {BackendValues, DataType, Rank, ShapeMap} from '../types';\n\nexport const EPSILON_FLOAT32 = 1e-7;\nexport const EPSILON_FLOAT16 = 1e-4;\n\n// Required information for all backends.\nexport interface BackendTimingInfo {\n  kernelMs: number|{error: string};\n  getExtraProfileInfo?(): string;  // a field for additional timing information\n                                   // e.g. packing / unpacking for WebGL backend\n}\n\nexport interface TensorStorage {\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n  disposeData(dataId: DataId): void;\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId;\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void;\n  memory(): {unreliable: boolean;};  // Backend-specific information.\n  /** Returns number of data ids currently in the storage. */\n  numDataIds(): number;\n}\n\n/** Convenient class for storing tensor-related data. */\nexport class DataStorage<T> {\n  private data = new WeakMap<DataId, T>();\n  private dataIdsCount = 0;\n\n  constructor(private backend: KernelBackend, private dataMover: DataMover) {}\n\n  get(dataId: DataId) {\n    if (!this.data.has(dataId)) {\n      this.dataMover.moveData(this.backend, dataId);\n    }\n    return this.data.get(dataId);\n  }\n\n  set(dataId: DataId, value: T): void {\n    this.dataIdsCount++;\n    this.data.set(dataId, value);\n  }\n\n  has(dataId: DataId): boolean {\n    return this.data.has(dataId);\n  }\n\n  delete(dataId: DataId): boolean {\n    this.dataIdsCount--;\n    return this.data.delete(dataId);\n  }\n\n  numDataIds(): number {\n    return this.dataIdsCount;\n  }\n}\n\nexport interface DataMover {\n  /**\n   * To be called by backends whenever they see a dataId that they don't own.\n   * Upon calling this method, the mover will fetch the tensor from another\n   * backend and register it with the current active backend.\n   */\n  moveData(backend: KernelBackend, dataId: DataId): void;\n}\n\nexport interface BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo>;\n}\n\n/**\n * The interface that defines the kernels that should be implemented when\n * adding a new backend. New backends don't need to implement every one of the\n * methods, this can be done gradually (throw an error for unimplemented\n * methods).\n */\nexport class KernelBackend implements TensorStorage, Backend, BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo> {\n    return notYetImplemented('time');\n  }\n  read(dataId: object): Promise<BackendValues> {\n    return notYetImplemented('read');\n  }\n  readSync(dataId: object): BackendValues {\n    return notYetImplemented('readSync');\n  }\n  numDataIds(): number {\n    return notYetImplemented('numDataIds');\n  }\n  disposeData(dataId: object): void {\n    return notYetImplemented('disposeData');\n  }\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    return notYetImplemented('write');\n  }\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    return notYetImplemented('move');\n  }\n  memory(): {unreliable: boolean; reasons?: string[]} {\n    return notYetImplemented('memory');\n  }\n  /** Returns the highest precision for floats in bits (e.g. 16 or 32) */\n  floatPrecision(): 16|32 {\n    return notYetImplemented('floatPrecision');\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    return notYetImplemented('batchMatMul');\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    return notYetImplemented('fusedBatchMatMul');\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    return notYetImplemented('slice');\n  }\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    return notYetImplemented('stridedSlice');\n  }\n  unstack(x: Tensor, axis: number): Tensor[] {\n    return notYetImplemented('unstack');\n  }\n  reverse<T extends Tensor>(a: T, axis: number[]): T {\n    return notYetImplemented('reverse');\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    return notYetImplemented('concat');\n  }\n\n  neg<T extends Tensor>(a: T): T {\n    return notYetImplemented('neg');\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('add');\n  }\n  addN<T extends Tensor>(tensors: T[]): T {\n    return notYetImplemented('addN');\n  }\n  subtract(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('subtract');\n  }\n  multiply(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('multiply');\n  }\n  realDivide(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('realDivide');\n  }\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('floorDiv');\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('sum');\n  }\n  prod(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('prod');\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    return notYetImplemented('unsortedSegmentSum');\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMin');\n  }\n  argMax(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMax');\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('equal');\n  }\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('notEqual');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('less');\n  }\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('lessEqual');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greater');\n  }\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greaterEqual');\n  }\n\n  logicalNot<T extends Tensor>(a: T): T {\n    return notYetImplemented('logicalNot');\n  }\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalAnd');\n  }\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalOr');\n  }\n\n  where(condition: Tensor): Tensor2D {\n    return notYetImplemented('where');\n  }\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('select');\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    return notYetImplemented('topk');\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('min');\n  }\n  minimum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('minimum');\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('mod');\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('max');\n  }\n  maximum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('maximum');\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('all');\n  }\n  any(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('any');\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('squaredDifference');\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    return notYetImplemented('ceil');\n  }\n  floor<T extends Tensor>(x: T): T {\n    return notYetImplemented('floor');\n  }\n  round<T extends Tensor>(x: T): T {\n    return notYetImplemented('round');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    return notYetImplemented('sign');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    return notYetImplemented('isNaN');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    return notYetImplemented('isInf');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    return notYetImplemented('isFinite');\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    return notYetImplemented('pow');\n  }\n  exp<T extends Tensor>(x: T): T {\n    return notYetImplemented('exp');\n  }\n  expm1<T extends Tensor>(x: T): T {\n    return notYetImplemented('expm1');\n  }\n  softmax<T extends Tensor>(x: T, dim: number): T {\n    return notYetImplemented('softmax');\n  }\n  log<T extends Tensor>(x: T): T {\n    return notYetImplemented('log');\n  }\n  log1p<T extends Tensor>(x: T): T {\n    return notYetImplemented('log1p');\n  }\n  sqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('sqrt');\n  }\n  rsqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('rsqrt');\n  }\n  square<T extends Tensor>(x: T): T {\n    return notYetImplemented('square');\n  }\n  reciprocal<T extends Tensor>(x: T): T {\n    return notYetImplemented('reciprocal');\n  }\n  relu<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu');\n  }\n  relu6<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu6');\n  }\n  prelu<T extends Tensor>(x: T, a: T): T {\n    return notYetImplemented('prelu');\n  }\n  elu<T extends Tensor>(x: T): T {\n    return notYetImplemented('elu');\n  }\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    return notYetImplemented('eluDer');\n  }\n  selu<T extends Tensor>(x: T): T {\n    return notYetImplemented('selu');\n  }\n  int<T extends Tensor>(x: T): T {\n    return notYetImplemented('int');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    return notYetImplemented('clip');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    return notYetImplemented('abs');\n  }\n  complexAbs<T extends Tensor>(x: T): T {\n    return notYetImplemented('complexAbs');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    return notYetImplemented('sigmoid');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    return notYetImplemented('softplus');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    return notYetImplemented('sin');\n  }\n  cos<T extends Tensor>(x: T): T {\n    return notYetImplemented('cos');\n  }\n  tan<T extends Tensor>(x: T): T {\n    return notYetImplemented('tan');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    return notYetImplemented('asin');\n  }\n  acos<T extends Tensor>(x: T): T {\n    return notYetImplemented('acos');\n  }\n  atan<T extends Tensor>(x: T): T {\n    return notYetImplemented('atan');\n  }\n  atan2<T extends Tensor>(a: T, b: T): T {\n    return notYetImplemented('atan2');\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('sinh');\n  }\n  cosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('cosh');\n  }\n  tanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('tanh');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('asinh');\n  }\n  acosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('acosh');\n  }\n  atanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('atanh');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    return notYetImplemented('erf');\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    return notYetImplemented('step');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedConv2d');\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2d');\n  }\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('conv2dDerInput');\n  }\n  conv2dDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2dDerFilter');\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedDepthwiseConv2D');\n  }\n\n  depthwiseConv2D(input: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2D');\n  }\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerInput');\n  }\n  depthwiseConv2DDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerFilter');\n  }\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3d');\n  }\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    return notYetImplemented('conv3dDerInput');\n  }\n  conv3dDerFilter(x: Tensor5D, dY: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3dDerFilter');\n  }\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('maxPool');\n  }\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('maxPoolBackprop');\n  }\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPool');\n  }\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPoolBackprop');\n  }\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3d');\n  }\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3dBackprop');\n  }\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3d');\n  }\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3dBackprop');\n  }\n\n  reshape<T extends Tensor, R extends Rank>(x: T, shape: ShapeMap[R]):\n      Tensor<R> {\n    return notYetImplemented('reshape');\n  }\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return notYetImplemented('cast');\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    return notYetImplemented('tile');\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    return notYetImplemented('pad');\n  }\n\n  transpose<T extends Tensor>(x: T, perm: number[]): T {\n    return notYetImplemented('transpose');\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    return notYetImplemented('gather');\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    return notYetImplemented('gatherND');\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return notYetImplemented('scatterND');\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    return notYetImplemented('batchToSpaceND');\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T {\n    return notYetImplemented('spaceToBatchND');\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeBilinear');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    return notYetImplemented('resizeBilinearBackprop');\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHEight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighbor');\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighborBackprop');\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    return notYetImplemented('batchNormalization');\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    return notYetImplemented('localResponseNormalization4D');\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D, radius: number,\n      bias: number, alpha: number, beta: number): Tensor4D {\n    return notYetImplemented('LRNGrad');\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    return notYetImplemented('multinomial');\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    return notYetImplemented('oneHot');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    return notYetImplemented('cumsum');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold?: number): Tensor1D {\n    return notYetImplemented('nonMaxSuppression');\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('fft');\n  }\n  ifft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('ifft');\n  }\n  complex<T extends Tensor>(real: T, imag: T): T {\n    return notYetImplemented('complex');\n  }\n  real<T extends Tensor>(input: T): T {\n    return notYetImplemented('real');\n  }\n  imag<T extends Tensor>(input: T): T {\n    return notYetImplemented('imag');\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    return notYetImplemented('cropAndResize');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D {\n    return notYetImplemented('depthToSpace');\n  }\n\n  // Aligns with the \"SplitV\" kernel in TensorFlow.\n  split<T extends Tensor>(value: T, sizeSplits: number[], axis: number): T[] {\n    return notYetImplemented('split');\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    return notYetImplemented('sparseToDense');\n  }\n\n  diag(x: Tensor): Tensor {\n    return notYetImplemented('diag');\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    return notYetImplemented('fill');\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('onesLike');\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('zerosLike');\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return notYetImplemented('linspace');\n  }\n\n  dispose(): void {\n    return notYetImplemented('dispose');\n  }\n}\n\nfunction notYetImplemented(kernelName: string): never {\n  throw new Error(\n      `'${kernelName}' not yet implemented or not found in the registry. ` +\n      `Did you forget to import the kernel?`);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\ntype PadType = 'SAME'|'VALID'|'NUMBER';\n\nexport type PadInfo = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  type: PadType\n};\n\nexport type PadInfo3D = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  front: number,\n  back: number,\n  type: PadType\n};\n\n/**\n * Information about the forward pass of a convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv2DInfo = {\n  batchSize: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideHeight: number,\n  strideWidth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo,\n  inShape: [number, number, number, number],\n  outShape: [number, number, number, number],\n  filterShape: [number, number, number, number]\n};\n\nexport function computePool2DInfo(\n    inShape: [number, number, number, number],\n    filterSize: [number, number]|number, strides: number|[number, number],\n    dilations: number|[number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  const [filterHeight, filterWidth] = parseTupleParam(filterSize);\n\n  let filterShape: [number, number, number, number];\n  if (dataFormat === 'channelsLast') {\n    filterShape = [filterHeight, filterWidth, inShape[3], inShape[3]];\n  } else if (dataFormat === 'channelsFirst') {\n    filterShape = [filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv2DInfo(\n      inShape, filterShape, strides, dilations, pad, roundingMode, false,\n      dataFormat);\n}\n\n/**\n * Computes the information for a forward pass of a pooling3D operation.\n */\nexport function computePool3DInfo(\n    inShape: [number, number, number, number, number],\n    filterSize: number|[number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC'): Conv3DInfo {\n  const [filterDepth, filterHeight, filterWidth] = parse3TupleParam(filterSize);\n\n  let filterShape: [number, number, number, number, number];\n  let $dataFormat: 'channelsFirst'|'channelsLast';\n  if (dataFormat === 'NDHWC') {\n    $dataFormat = 'channelsLast';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[4], inShape[4]];\n  } else if (dataFormat === 'NCDHW') {\n    $dataFormat = 'channelsFirst';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv3DInfo(\n      inShape, filterShape, strides, dilations, pad, false, $dataFormat,\n      roundingMode);\n}\n\n/**\n * Computes the information for a forward pass of a convolution/pooling\n * operation.\n */\nexport function computeConv2DInfo(\n    inShape: [number, number, number, number],\n    filterShape: [number, number, number, number],\n    strides: number|[number, number], dilations: number|[number, number],\n    pad: 'same'|'valid'|number, roundingMode?: 'floor'|'round'|'ceil',\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  let [batchSize, inHeight, inWidth, inChannels] = [-1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterHeight, filterWidth, , filterChannels] = filterShape;\n  const [strideHeight, strideWidth] = parseTupleParam(strides);\n  const [dilationHeight, dilationWidth] = parseTupleParam(dilations);\n\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outHeight, outWidth} = getPadAndOutInfo(\n      pad, inHeight, inWidth, strideHeight, strideWidth, effectiveFilterHeight,\n      effectiveFilterWidth, roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inHeight,\n    inWidth,\n    inChannels,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideHeight,\n    strideWidth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\n/**\n * Information about the forward pass of a 3D convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv3DInfo = {\n  batchSize: number,\n  inDepth: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideDepth: number,\n  strideHeight: number,\n  strideWidth: number,\n  dilationDepth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterDepth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterDepth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo3D,\n  inShape: [number, number, number, number, number],\n  outShape: [number, number, number, number, number],\n  filterShape: [number, number, number, number, number]\n};\n\n/**\n * Computes the information for a forward pass of a 3D convolution/pooling\n * operation.\n */\nexport function computeConv3DInfo(\n    inShape: [number, number, number, number, number],\n    filterShape: [number, number, number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast',\n    roundingMode?: 'floor'|'round'|'ceil'): Conv3DInfo {\n  let [batchSize, inDepth, inHeight, inWidth, inChannels] =\n      [-1, -1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inDepth, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inDepth, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterDepth, filterHeight, filterWidth, , filterChannels] =\n      filterShape;\n  const [strideDepth, strideHeight, strideWidth] = parse3TupleParam(strides);\n  const [dilationDepth, dilationHeight, dilationWidth] =\n      parse3TupleParam(dilations);\n\n  const effectiveFilterDepth =\n      getEffectiveFilterSize(filterDepth, dilationDepth);\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outDepth, outHeight, outWidth} = get3DPadAndOutInfo(\n      pad, inDepth, inHeight, inWidth, strideDepth, strideHeight, strideWidth,\n      effectiveFilterDepth, effectiveFilterHeight, effectiveFilterWidth,\n      roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outDepth, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outDepth, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inDepth,\n    inHeight,\n    inWidth,\n    inChannels,\n    outDepth,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideDepth,\n    strideHeight,\n    strideWidth,\n    filterDepth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterDepth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationDepth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\nfunction computeOutputShape2D(\n    inShape: [number, number], fieldSize: number, stride: number,\n    zeroPad?: number, roundingMode?: 'floor'|'round'|'ceil'): [number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputRows = inShape[0];\n  const inputCols = inShape[1];\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputRows, outputCols];\n}\n\nfunction computeOutputShape4D(\n    inShape: [number, number, number, number], fieldSize: number,\n    outChannels: number, stride: number, zeroPad?: number,\n    roundingMode?: 'floor'|'round'|'ceil'): [number, number, number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputDepth = inShape[0];\n  const inputRows = inShape[1];\n  const inputCols = inShape[2];\n\n  const outputDepths = conditionalRound(\n      (inputDepth - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputDepths),\n      () => `The output # of depths (${outputDepths}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputDepths, outputRows, outputCols, outChannels];\n}\n\nexport function computeDefaultPad(\n    inputShape: [number, number]|[number, number, number, number],\n    fieldSize: number, stride: number, dilation = 1): number {\n  const effectiveFieldSize = getEffectiveFilterSize(fieldSize, dilation);\n  return Math.floor(\n      (inputShape[0] * (stride - 1) - stride + effectiveFieldSize) / 2);\n}\n\nfunction parseTupleParam(param: number|number[]): [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param as [number, number, number];\n}\n\nfunction parse3TupleParam(param: number|[number, number, number]):\n    [number, number, number] {\n  return typeof param === 'number' ? [param, param, param] : param;\n}\n\n/* See https://www.tensorflow.org/api_docs/python/tf/nn/atrous_conv2d\n * Atrous convolution is equivalent to standard convolution with upsampled\n * filters with effective_filter_height =\n * filter_height + (filter_height - 1) * (dilation - 1)\n * and effective_filter_width =\n * filter_width + (filter_width - 1) * (dilation - 1),\n * produced by inserting dilation - 1 zeros along consecutive elements across\n * the filters' spatial dimensions.\n * When there is a dilation, this converts a filter dimension to the\n * effective filter dimension, so it can be used in a standard convolution.\n */\nfunction getEffectiveFilterSize(filterSize: number, dilation: number) {\n  if (dilation <= 1) {\n    return filterSize;\n  }\n\n  return filterSize + (filterSize - 1) * (dilation - 1);\n}\n\nfunction getPadAndOutInfo(\n    pad: 'same'|'valid'|number, inHeight: number, inWidth: number,\n    strideHeight: number, strideWidth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'):\n    {padInfo: PadInfo, outHeight: number, outWidth: number} {\n  let padInfo: PadInfo;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {top: pad, bottom: pad, left: pad, right: pad, type: padType};\n    const outShape = computeOutputShape2D(\n        [inHeight, inWidth], filterHeight, strideHeight, pad, roundingMode);\n    outHeight = outShape[0];\n    outWidth = outShape[1];\n  } else if (pad === 'same') {\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongHeight =\n        Math.max(0, (outHeight - 1) * strideHeight + filterHeight - inHeight);\n    const padAlongWidth =\n        Math.max(0, (outWidth - 1) * strideWidth + filterWidth - inWidth);\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n    padInfo = {top, bottom, left, right, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {top: 0, bottom: 0, left: 0, right: 0, type: 'VALID'};\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outHeight, outWidth};\n}\n\nfunction get3DPadAndOutInfo(\n    pad: 'same'|'valid'|number, inDepth: number, inHeight: number,\n    inWidth: number, strideDepth: number, strideHeight: number,\n    strideWidth: number, filterDepth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'): {\n  padInfo: PadInfo3D,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number\n} {\n  let padInfo: PadInfo3D;\n  let outDepth: number;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {\n      top: pad,\n      bottom: pad,\n      left: pad,\n      right: pad,\n      front: pad,\n      back: pad,\n      type: padType\n    };\n    const outShape = computeOutputShape4D(\n        [inDepth, inHeight, inWidth, 1], filterDepth, 1, strideDepth, pad,\n        roundingMode);\n    outDepth = outShape[0];\n    outHeight = outShape[1];\n    outWidth = outShape[2];\n  } else if (pad === 'same') {\n    outDepth = Math.ceil(inDepth / strideDepth);\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongDepth = (outDepth - 1) * strideDepth + filterDepth - inDepth;\n    const padAlongHeight =\n        (outHeight - 1) * strideHeight + filterHeight - inHeight;\n    const padAlongWidth = (outWidth - 1) * strideWidth + filterWidth - inWidth;\n    const front = Math.floor(padAlongDepth / 2);\n    const back = padAlongDepth - front;\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n\n    padInfo = {top, bottom, left, right, front, back, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {\n      top: 0,\n      bottom: 0,\n      left: 0,\n      right: 0,\n      front: 0,\n      back: 0,\n      type: 'VALID'\n    };\n    outDepth = Math.ceil((inDepth - filterDepth + 1) / strideDepth);\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outDepth, outHeight, outWidth};\n}\n\n/**\n * Rounds a value depending on the rounding mode\n * @param value\n * @param roundingMode\n */\nfunction conditionalRound(\n    value: number, roundingMode?: 'floor'|'round'|'ceil') {\n  if (!roundingMode) {\n    return value;\n  }\n  switch (roundingMode) {\n    case 'round':\n      // used for Caffe Conv\n      return Math.round(value);\n    case 'ceil':\n      // used for Caffe Pool\n      return Math.ceil(value);\n    case 'floor':\n      return Math.floor(value);\n    default:\n      throw new Error(`Unknown roundingMode ${roundingMode}`);\n  }\n}\n\nexport function tupleValuesAreOne(param: number|number[]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nexport function eitherStridesOrDilationsAreOne(\n    strides: number|number[], dilations: number|number[]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\n/**\n * Convert Conv2D dataFormat from 'NHWC'|'NCHW' to\n *    'channelsLast'|'channelsFirst'\n * @param dataFormat in 'NHWC'|'NCHW' mode\n * @return dataFormat in 'channelsLast'|'channelsFirst' mode\n * @throws unknown dataFormat\n */\nexport function convertConv2DDataFormat(dataFormat: 'NHWC'|'NCHW'):\n    'channelsLast'|'channelsFirst' {\n  if (dataFormat === 'NHWC') {\n    return 'channelsLast';\n  } else if (dataFormat === 'NCHW') {\n    return 'channelsFirst';\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {scalar, tensor1d, zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {Rank} from '../types';\nimport {DataType, ShapeMap} from '../types';\nimport {hasEncodingLoss, makeZerosTypedArray} from '../util';\n\nimport {KernelBackend} from './backend';\n\n// Utilities needed by backend consumers of tf-core.\nexport * from '../ops/axis_util';\nexport * from '../ops/broadcast_util';\nexport * from '../ops/concat_util';\nexport * from '../ops/conv_util';\nexport {Activation, FusedConv2DConfig} from '../ops/fused_util';\nexport * from '../ops/reduce_util';\nexport {BackendValues, TypedArray, upcastType, PixelData} from '../types';\nexport {MemoryInfo, TimingInfo} from '../engine';\n\nexport function castTensor<T extends Tensor>(\n    x: T, dtype: DataType, backend: KernelBackend): T {\n  if (dtype === 'complex64') {\n    if (x.dtype === 'complex64') {\n      return x.clone();\n    }\n    const zerosTensor = zeros(x.shape);\n    const floatX = x.toFloat();\n    const result = backend.complex(floatX, zerosTensor);\n    zerosTensor.dispose();\n    floatX.dispose();\n    return result as T;\n  }\n\n  if (!hasEncodingLoss(x.dtype, dtype)) {\n    // We don't change the underlying data, since we cast to higher\n    // precision.\n    return ENGINE.makeTensorFromDataId(x.dataId, x.shape, dtype) as T;\n  }\n  if (x.dtype === 'complex64') {\n    const real = backend.real(x);\n    const result = real.cast(dtype);\n    real.dispose();\n    return result;\n  }\n  if (dtype === 'int32') {\n    return backend.int(x);\n  } else if (dtype === 'bool') {\n    const zero = scalar(0, x.dtype);\n    const result = backend.notEqual(x, zero) as T;\n    zero.dispose();\n    return result;\n  } else {\n    throw new Error(`Error in Cast: failed to cast ${x.dtype} to ${dtype}`);\n  }\n}\n\nexport function reshapeTensor<T extends Tensor, R extends Rank>(\n    x: T, shape: ShapeMap[R]): Tensor<R> {\n  return ENGINE.makeTensorFromDataId(x.dataId, shape, x.dtype) as Tensor<R>;\n}\n\nexport function linspaceImpl(start: number, stop: number, num: number) {\n  const step = (stop - start) / (num - 1);\n\n  const values = makeZerosTypedArray(num, 'float32');\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, 'float32');\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../types';\n/**\n * Merges real and imaginary Float32Arrays into a single complex Float32Array.\n *\n * The memory layout is interleaved as follows:\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n * complex: [r0, i0, r1, i1, r2, i2]\n *\n * This is the inverse of splitRealAndImagArrays.\n *\n * @param real The real values of the complex tensor values.\n * @param imag The imag values of the complex tensor values.\n * @returns A complex tensor as a Float32Array with merged values.\n */\nexport function mergeRealAndImagArrays(\n    real: Float32Array, imag: Float32Array): Float32Array {\n  if (real.length !== imag.length) {\n    throw new Error(\n        `Cannot merge real and imag arrays of different lengths. real:` +\n        `${real.length}, imag: ${imag.length}.`);\n  }\n  const result = new Float32Array(real.length * 2);\n  for (let i = 0; i < result.length; i += 2) {\n    result[i] = real[i / 2];\n    result[i + 1] = imag[i / 2];\n  }\n  return result;\n}\n\n/**\n * Splits a complex Float32Array into real and imag parts.\n *\n * The memory layout is interleaved as follows:\n * complex: [r0, i0, r1, i1, r2, i2]\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n *\n * This is the inverse of mergeRealAndImagArrays.\n *\n * @param complex The complex tensor values.\n * @returns An object with real and imag Float32Array components of the complex\n *     tensor.\n */\nexport function splitRealAndImagArrays(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(complex.length / 2);\n  const imag = new Float32Array(complex.length / 2);\n  for (let i = 0; i < complex.length; i += 2) {\n    real[i / 2] = complex[i];\n    imag[i / 2] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts even indexed complex values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithEvenIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.ceil(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 0; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts odd indexed comple values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithOddIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.floor(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 2; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Get the map representing a complex value in the given array.\n * @param complex The complex tensor values.\n * @param index An index of the target complex value.\n */\nexport function getComplexWithIndex(\n    complex: Float32Array, index: number): {real: number, imag: number} {\n  const real = complex[index * 2];\n  const imag = complex[index * 2 + 1];\n  return {real, imag};\n}\n\n/**\n * Insert a given complex value into the TypedArray.\n * @param data The array in which the complex value is inserted.\n * @param c The complex value to be inserted.\n * @param index An index of the target complex value.\n */\nexport function assignToTypedArray(\n    data: TypedArray, real: number, imag: number, index: number) {\n  data[index * 2] = real;\n  data[index * 2 + 1] = imag;\n}\n\n/**\n * Make the list of exponent terms used by FFT.\n */\nexport function exponents(\n    n: number, inverse: boolean): {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(n / 2);\n  const imag = new Float32Array(n / 2);\n  for (let i = 0; i < Math.ceil(n / 2); i++) {\n    const x = (inverse ? 2 : -2) * Math.PI * (i / n);\n    real[i] = Math.cos(x);\n    imag[i] = Math.sin(x);\n  }\n  return {real, imag};\n}\n\n/**\n * Make the exponent term used by FFT.\n */\nexport function exponent(\n    k: number, n: number, inverse: boolean): {real: number, imag: number} {\n  const x = (inverse ? 2 : -2) * Math.PI * (k / n);\n  const real = Math.cos(x);\n  const imag = Math.sin(x);\n  return {real, imag};\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inserts a value into a sorted array. This method allows duplicate, meaning it\n * allows inserting duplicate value, in which case, the element will be inserted\n * at the lowest index of the value.\n * @param arr The array to modify.\n * @param element The element to insert.\n * @param comparator Optional. If no comparator is specified, elements are\n * compared using array_util.defaultComparator, which is suitable for Strings\n * and Numbers in ascending arrays. If the array contains multiple instances of\n * the target value, the left-most instance will be returned. To provide a\n * comparator, it should take 2 arguments to compare and return a negative,\n * zero, or a positive number.\n */\nexport function binaryInsert<T>(\n    arr: T[], element: T, comparator?: (a: T, b: T) => number) {\n  const index = binarySearch(arr, element, comparator);\n  const insertionPoint = index < 0 ? -(index + 1) : index;\n  arr.splice(insertionPoint, 0, element);\n}\n\n/**\n * Searches the array for the target using binary search, returns the index\n * of the found element, or position to insert if element not found. If no\n * comparator is specified, elements are compared using array_\n * util.defaultComparator, which is suitable for Strings and Numbers in\n * ascending arrays. If the array contains multiple instances of the target\n * value, the left-most instance will be returned.\n * @param arr The array to be searched in.\n * @param target The target to be searched for.\n * @param comparator Should take 2 arguments to compare and return a negative,\n *    zero, or a positive number.\n * @return Lowest index of the target value if found, otherwise the insertion\n *    point where the target should be inserted, in the form of\n *    (-insertionPoint - 1).\n */\nexport function binarySearch<T>(\n    arr: T[], target: T, comparator?: (a: T, b: T) => number) {\n  return binarySearch_(arr, target, comparator || defaultComparator);\n}\n\n/**\n * Compares its two arguments for order.\n * @param a The first element to be compared.\n * @param b The second element to be compared.\n * @return A negative number, zero, or a positive number as the first\n *     argument is less than, equal to, or greater than the second.\n */\nfunction defaultComparator<T>(a: T, b: T): number {\n  return a > b ? 1 : a < b ? -1 : 0;\n}\n\nfunction binarySearch_<T>(\n    arr: T[], target: T, comparator: (a: T, b: T) => number) {\n  let left = 0;\n  let right = arr.length;\n  let middle = 0;\n  let found = false;\n  while (left < right) {\n    middle = left + ((right - left) >>> 1);\n    const compareResult = comparator(target, arr[middle]);\n    if (compareResult > 0) {\n      left = middle + 1;\n    } else {\n      right = middle;\n      // If compareResult is 0, the value is found. We record it is found,\n      // and then keep looking because there may be duplicate.\n      found = !compareResult;\n    }\n  }\n\n  return found ? left : -left - 1;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Implementation of the NonMaxSuppression kernel shared between webgl and cpu.\n */\n\nimport {scalar, tensor1d} from '../ops/tensor_ops';\nimport {Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\n\nimport {binaryInsert} from './array_util';\n\ninterface Candidate {\n  score: number;\n  boxIndex: number;\n  suppressBeginIndex: number;\n}\n\nexport function nonMaxSuppressionV3(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number): Tensor1D {\n  const dummySoftNmsSigma = 0.0;\n\n  return nonMaxSuppressionImpl_(\n             boxes, scores, maxOutputSize, iouThreshold, scoreThreshold,\n             dummySoftNmsSigma)\n             .selectedIndices as Tensor1D;\n}\n\nexport function nonMaxSuppressionV5(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number,\n    softNmsSigma: number): NamedTensorMap {\n  // For NonMaxSuppressionV5Op, we always return a second output holding\n  // corresponding scores.\n  const returnScoresTensor = true;\n\n  const result = nonMaxSuppressionImpl_(\n      boxes, scores, maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma,\n      returnScoresTensor);\n\n  result.numValidOutputs.dispose();\n\n  return {\n    selectedIndices: result.selectedIndices,\n    selectedScores: result.selectedScores\n  };\n}\n\nfunction nonMaxSuppressionImpl_(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma: number,\n    returnScoresTensor = false, padToMaxOutputSize = false): NamedTensorMap {\n  // The list is sorted in ascending order, so that we can always pop the\n  // candidate with the largest score in O(1) time.\n  const candidates =\n      Array.from(scores)\n          .map((score, boxIndex) => ({score, boxIndex, suppressBeginIndex: 0}))\n          .filter(c => c.score > scoreThreshold)\n          .sort(ascendingComparator);\n\n  // If softNmsSigma is 0, the outcome of this algorithm is exactly same as\n  // before.\n  const scale = softNmsSigma > 0 ? (-0.5 / softNmsSigma) : 0.0;\n\n  const selectedIndices: number[] = [];\n  const selectedScores: number[] = [];\n\n  while (selectedIndices.length < maxOutputSize && candidates.length > 0) {\n    const candidate = candidates.pop();\n    const {score: originalScore, boxIndex, suppressBeginIndex} = candidate;\n\n    if (originalScore < scoreThreshold) {\n      break;\n    }\n\n    // Overlapping boxes are likely to have similar scores, therefore we\n    // iterate through the previously selected boxes backwards in order to\n    // see if candidate's score should be suppressed. We use\n    // suppressBeginIndex to track and ensure a candidate can be suppressed\n    // by a selected box no more than once. Also, if the overlap exceeds\n    // iouThreshold, we simply ignore the candidate.\n    let ignoreCandidate = false;\n    for (let j = selectedIndices.length - 1; j >= suppressBeginIndex; --j) {\n      const iou = intersectionOverUnion(boxes, boxIndex, selectedIndices[j]);\n\n      if (iou >= iouThreshold) {\n        ignoreCandidate = true;\n        break;\n      }\n\n      candidate.score =\n          candidate.score * suppressWeight(iouThreshold, scale, iou);\n\n      if (candidate.score <= scoreThreshold) {\n        break;\n      }\n    }\n\n    // At this point, if `candidate.score` has not dropped below\n    // `scoreThreshold`, then we know that we went through all of the\n    // previous selections and can safely update `suppressBeginIndex` to the\n    // end of the selected array. Then we can re-insert the candidate with\n    // the updated score and suppressBeginIndex back in the candidate list.\n    // If on the other hand, `candidate.score` has dropped below the score\n    // threshold, we will not add it back to the candidates list.\n    candidate.suppressBeginIndex = selectedIndices.length;\n\n    if (!ignoreCandidate) {\n      // Candidate has passed all the tests, and is not suppressed, so\n      // select the candidate.\n      if (candidate.score === originalScore) {\n        selectedIndices.push(boxIndex);\n        selectedScores.push(candidate.score);\n      } else if (candidate.score > scoreThreshold) {\n        // Candidate's score is suppressed but is still high enough to be\n        // considered, so add back to the candidates list.\n        binaryInsert(candidates, candidate, ascendingComparator);\n      }\n    }\n  }\n\n  // NonMaxSuppressionV4 feature: padding output to maxOutputSize.\n  const numValidOutputs = selectedIndices.length;\n  if (padToMaxOutputSize) {\n    selectedIndices.fill(0, numValidOutputs);\n    selectedScores.fill(0.0, numValidOutputs);\n  }\n\n  return {\n    selectedIndices: tensor1d(selectedIndices, 'int32'),\n    selectedScores: tensor1d(selectedScores, 'float32'),\n    numValidOutputs: scalar(numValidOutputs, 'int32')\n  };\n}\n\nfunction intersectionOverUnion(boxes: TypedArray, i: number, j: number) {\n  const iCoord = boxes.subarray(i * 4, i * 4 + 4);\n  const jCoord = boxes.subarray(j * 4, j * 4 + 4);\n  const yminI = Math.min(iCoord[0], iCoord[2]);\n  const xminI = Math.min(iCoord[1], iCoord[3]);\n  const ymaxI = Math.max(iCoord[0], iCoord[2]);\n  const xmaxI = Math.max(iCoord[1], iCoord[3]);\n  const yminJ = Math.min(jCoord[0], jCoord[2]);\n  const xminJ = Math.min(jCoord[1], jCoord[3]);\n  const ymaxJ = Math.max(jCoord[0], jCoord[2]);\n  const xmaxJ = Math.max(jCoord[1], jCoord[3]);\n  const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n  const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n  if (areaI <= 0 || areaJ <= 0) {\n    return 0.0;\n  }\n  const intersectionYmin = Math.max(yminI, yminJ);\n  const intersectionXmin = Math.max(xminI, xminJ);\n  const intersectionYmax = Math.min(ymaxI, ymaxJ);\n  const intersectionXmax = Math.min(xmaxI, xmaxJ);\n  const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) *\n      Math.max(intersectionXmax - intersectionXmin, 0.0);\n  return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\n// A Gaussian penalty function, this method always returns values in [0, 1].\n// The weight is a function of similarity, the more overlap two boxes are, the\n// smaller the weight is, meaning highly overlapping boxe will be significantly\n// penalized. On the other hand, a non-overlapping box will not be penalized.\nfunction suppressWeight(iouThreshold: number, scale: number, iou: number) {\n  const weight = Math.exp(scale * iou * iou);\n  return iou <= iouThreshold ? weight : 0.0;\n}\n\nfunction ascendingComparator(c1: Candidate, c2: Candidate) {\n  // For objects with same scores, we make the object with the larger index go\n  // first. In an array that pops from the end, this means that the object with\n  // the smaller index will be popped first. This ensures the same output as\n  // the TensorFlow python version.\n  return (c1.score - c2.score) ||\n      ((c1.score === c2.score) && (c2.boxIndex - c1.boxIndex));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\n\n/** Shared implementation of the split kernel across WebGL and CPU. */\nexport function split<T extends Tensor>(\n    x: T, sizeSplits: number[], axis: number): T[] {\n  const begin = new Array(x.rank).fill(0);\n  const size = x.shape.slice();\n  return sizeSplits.map(s => {\n    size[axis] = s;\n    const slice = x.slice(begin, size);\n    begin[axis] += s;\n    return slice;\n  });\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * An implementation of the tile kernel shared between webgl and cpu for string\n * tensors only.\n */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor, TensorBuffer} from '../tensor';\nimport {DataType, Rank} from '../types';\n\nexport function tile<R extends Rank>(\n    xBuf: TensorBuffer<R, DataType>, reps: number[]): Tensor<R> {\n  const newShape: number[] = new Array(xBuf.rank);\n  for (let i = 0; i < newShape.length; i++) {\n    newShape[i] = xBuf.shape[i] * reps[i];\n  }\n  const result = buffer(newShape, xBuf.dtype);\n  for (let i = 0; i < result.values.length; ++i) {\n    const newLoc = result.indexToLoc(i);\n\n    const originalLoc: number[] = new Array(xBuf.rank);\n    for (let j = 0; j < originalLoc.length; j++) {\n      originalLoc[j] = newLoc[j] % xBuf.shape[j];\n    }\n\n    const originalIndex = xBuf.locToIndex(originalLoc);\n\n    result.values[i] = xBuf.values[originalIndex];\n  }\n  return result.toTensor() as Tensor<R>;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the TopK kernel shared between webgl and cpu. */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {NumericDataType, TypedArray} from '../types';\nimport {getTypedArrayFromDType} from '../util';\n\nexport function topkImpl<T extends Tensor>(\n    x: TypedArray, xShape: number[], xDtype: NumericDataType, k: number,\n    sorted: boolean): [T, T] {\n  // Reshape into a 2d tensor [batch, lastDim] and compute topk along lastDim.\n  const lastDim = xShape[xShape.length - 1];\n  const [batch, size] = [x.length / lastDim, lastDim];\n  const allTopKVals = getTypedArrayFromDType(xDtype, batch * k);\n  const allTopKIndices = getTypedArrayFromDType('int32', batch * k);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = x.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    const outOffset = b * k;\n    const topKVals = allTopKVals.subarray(outOffset, outOffset + k);\n    const topKIndices = allTopKIndices.subarray(outOffset, outOffset + k);\n    for (let i = 0; i < k; i++) {\n      topKVals[i] = valAndInd[i].value;\n      topKIndices[i] = valAndInd[i].index;\n    }\n  }\n  // Reshape back to the original input shape, except that the last\n  // dimension is k.\n  const outputShape = xShape.slice();\n  outputShape[outputShape.length - 1] = k;\n  return [\n    tensor(allTopKVals, outputShape, xDtype) as T,\n    tensor(allTopKIndices, outputShape, 'int32') as T\n  ];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the Where kernel shared between cpu and webgl */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor2D} from '../tensor';\nimport {TypedArray} from '../types';\n\nexport function whereImpl(condShape: number[], condVals: TypedArray): Tensor2D {\n  const indices = [];\n  for (let i = 0; i < condVals.length; i++) {\n    if (condVals[i]) {\n      indices.push(i);\n    }\n  }\n\n  const inBuffer = buffer(condShape, 'int32');\n\n  const out = buffer([indices.length, condShape.length], 'int32');\n  for (let i = 0; i < indices.length; i++) {\n    const loc = inBuffer.indexToLoc(indices[i]);\n    const offset = i * condShape.length;\n    out.values.set(loc, offset);\n  }\n  return out.toTensor() as Tensor2D;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`float v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        float result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`vec4 v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        vec4 result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ArgMinMaxProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(reduceInfo: ReduceInfo, op: 'max'|'min', firstPass: boolean) {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    this.outputShape = [batchSize, outSize];\n    const compOp = (op === 'max') ? '>' : '<';\n    const indexSnippet = firstPass ?\n        'inOffset + i;' :\n        'round(getBestIndicesA(batch, inOffset + i));';\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          int inIdx = ${indexSnippet};\n          float candidate = getA(batch, inIdx);\n          if (candidate ${compOp} bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function getVecChannels(name: string, rank: number): string[] {\n  return ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank).map(d => `${name}.${d}`);\n}\n\nexport function getChannels(name: string, rank: number): string[] {\n  if (rank === 1) {\n    return [name];\n  }\n  return getVecChannels(name, rank);\n}\n\nexport function getSourceCoords(rank: number, dims: string[]): string {\n  if (rank === 1) {\n    return 'rc';\n  }\n\n  let coords = '';\n  for (let i = 0; i < rank; i++) {\n    coords += dims[i];\n    if (i < rank - 1) {\n      coords += ',';\n    }\n  }\n  return coords;\n}","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../../environment';\n\nexport type GLSL = {\n  version: string,\n  attribute: string,\n  varyingVs: string,\n  varyingFs: string,\n  texture2D: string,\n  output: string,\n  defineOutput: string,\n  defineSpecialNaN: string,\n  defineSpecialInf: string,\n  defineRound: string\n};\n\nexport function getGlslDifferences(): GLSL {\n  let version: string;\n  let attribute: string;\n  let varyingVs: string;\n  let varyingFs: string;\n  let texture2D: string;\n  let output: string;\n  let defineOutput: string;\n  let defineSpecialNaN: string;\n  let defineSpecialInf: string;\n  let defineRound: string;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    version = '#version 300 es';\n    attribute = 'in';\n    varyingVs = 'out';\n    varyingFs = 'in';\n    texture2D = 'texture';\n    output = 'outputColor';\n    defineOutput = 'out vec4 outputColor;';\n\n    // Use custom isnan definition to work across differences between\n    // implementations on various platforms. While this should happen in ANGLE\n    // we still see differences between android and windows (on chrome) when\n    // using isnan directly.\n    defineSpecialNaN = `\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    `;\n    // In webgl 2 we do not need to specify a custom isinf so there is no\n    // need for a special INFINITY constant.\n    defineSpecialInf = ``;\n    defineRound = `\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  } else {\n    version = '';\n    attribute = 'attribute';\n    varyingVs = 'varying';\n    varyingFs = 'varying';\n    texture2D = 'texture2D';\n    output = 'gl_FragColor';\n    defineOutput = '';\n    // WebGL1 has no built in isnan so we define one here.\n    defineSpecialNaN = `\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    `;\n    defineSpecialInf = `\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    `;\n    defineRound = `\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  }\n\n  return {\n    version,\n    attribute,\n    varyingVs,\n    varyingFs,\n    texture2D,\n    output,\n    defineOutput,\n    defineSpecialNaN,\n    defineSpecialInf,\n    defineRound\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../../util';\n\n/**\n * Produces GLSL code that derives logical coordinates from a flat\n * index. The code performs integer division with each stride and decrements\n * the index until the index equals the final dimension coordinate.\n */\nexport function getLogicalCoordinatesFromFlatIndex(\n    coords: string[], shape: number[], index = 'index'): string {\n  const strides = util.computeStrides(shape);\n  return strides\n      .map((stride, i) => {\n        const line1 = `int ${coords[i]} = ${index} / ${stride}`;\n        const line2 = i === strides.length - 1 ?\n            `int ${coords[i + 1]} = ${index} - ${coords[i]} * ${stride}` :\n            `index -= ${coords[i]} * ${stride}`;\n        return `${line1}; ${line2};`;\n      })\n      .join('');\n}\n\nfunction buildVec(x: string[]): string {\n  if (x.length === 1) {\n    return `${x[0]}`;\n  }\n  return `vec${x.length}(${x.join(',')})`;\n}\n\n/**\n * Produces GLSL code that computes the dot product of the input x and y\n * vectors. Handles splitting inputs into increments of vec4s when necessary.\n */\nexport function dotify(x: string[], y: string[]): string {\n  if (x.length !== y.length) {\n    throw new Error(\n        `Vectors to be dotted must be of the same length -` +\n        `got ${x.length} and ${y.length}`);\n  }\n\n  const slices: string[] = [];\n  const nearestVec4 = Math.floor(x.length / 4);\n  const nearestVec4Remainder = x.length % 4;\n\n  for (let i = 0; i < nearestVec4; i++) {\n    const xSlice = x.slice(i * 4, i * 4 + 4);\n    const ySlice = y.slice(i * 4, i * 4 + 4);\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  if (nearestVec4Remainder !== 0) {\n    let xSlice = x.slice(nearestVec4 * 4);\n    let ySlice = y.slice(nearestVec4 * 4);\n    if (xSlice.length === 1) {\n      xSlice = xSlice.map(d => `float(${d})`);\n      ySlice = ySlice.map(d => `float(${d})`);\n    }\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  return slices.map((d, i) => `dot(${d})`).join('+');\n}\n\n/**\n * Produces GLSL that computes the flat index from 3D coordinates.\n */\nexport function getFlatIndexFrom3D(shape: [number, number, number]): string {\n  const strides = util.computeStrides(shape).map(d => d.toString());\n\n  return `\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * ${strides[0]} + coords.y * ${strides[1]} + coords.z;\n  }\n`;\n}\n\nexport const ENCODE_FLOAT_SNIPPET = `\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n`;","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getBroadcastDims} from '../../ops/broadcast_util';\nimport * as util from '../../util';\nimport {getGlslDifferences, GLSL} from './glsl_version';\nimport * as shader_util from './shader_compiler_util';\n\nexport type ShapeInfo = {\n  logicalShape: number[],\n  texShape: [number, number],\n  isUniform: boolean,\n  isPacked: boolean,\n  flatOffset: number\n};\n\nexport type InputInfo = {\n  name: string,\n  shapeInfo: ShapeInfo\n};\n\nexport function makeShader(\n    inputsInfo: InputInfo[], outputShape: ShapeInfo, userCode: string,\n    usesPackedTextures: boolean): string {\n  const prefixSnippets: string[] = [];\n  inputsInfo.forEach(x => {\n    const size = util.sizeFromShape(x.shapeInfo.logicalShape);\n\n    // Snippet when we decided to upload the values as uniform.\n    if (x.shapeInfo.isUniform) {\n      prefixSnippets.push(\n          `uniform float ${x.name}${size > 1 ? `[${size}]` : ''};`);\n    } else {\n      prefixSnippets.push(`uniform sampler2D ${x.name};`);\n      prefixSnippets.push(`uniform int offset${x.name};`);\n    }\n  });\n  const inputPrefixSnippet = prefixSnippets.join('\\n');\n\n  const inputSamplingSnippet =\n      inputsInfo\n          .map(x => getInputSamplingSnippet(x, outputShape, usesPackedTextures))\n          .join('\\n');\n  const outTexShape = outputShape.texShape;\n  const glsl = getGlslDifferences();\n  const floatTextureSampleSnippet = getFloatTextureSampleSnippet(glsl);\n  let outputSamplingSnippet: string;\n  let floatTextureSetOutputSnippet: string;\n  let shaderPrefix = getShaderPrefix(glsl);\n\n  if (outputShape.isPacked) {\n    outputSamplingSnippet =\n        getPackedOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRGBASnippet(glsl);\n  } else {\n    outputSamplingSnippet =\n        getOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRSnippet(glsl);\n  }\n\n  if (usesPackedTextures) {\n    shaderPrefix += SHADER_PACKED_PREFIX;\n  }\n\n  const source = [\n    shaderPrefix, floatTextureSampleSnippet, floatTextureSetOutputSnippet,\n    inputPrefixSnippet, outputSamplingSnippet, inputSamplingSnippet, userCode\n  ].join('\\n');\n  return source;\n}\n\nfunction getSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getSamplerScalar(inInfo);\n    case 1:\n      return getSampler1D(inInfo);\n    case 2:\n      return getSampler2D(inInfo);\n    case 3:\n      return getSampler3D(inInfo);\n    case 4:\n      return getSampler4D(inInfo);\n    case 5:\n      return getSampler5D(inInfo);\n    case 6:\n      return getSampler6D(inInfo);\n    default:\n      throw new Error(\n          `${shape.length}-D input sampling` +\n          ` is not yet supported`);\n  }\n}\n\nfunction getPackedSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getPackedSamplerScalar(inInfo);\n    case 1:\n      return getPackedSampler1D(inInfo);\n    case 2:\n      return getPackedSampler2D(inInfo);\n    case 3:\n      return getPackedSampler3D(inInfo);\n    default:\n      return getPackedSamplerND(inInfo);\n  }\n}\n\nfunction getInputSamplingSnippet(\n    inInfo: InputInfo, outShapeInfo: ShapeInfo,\n    usesPackedTextures = false): string {\n  let res = '';\n  if (usesPackedTextures) {\n    res += getPackedSamplerFromInInfo(inInfo);\n  } else {\n    res += getSamplerFromInInfo(inInfo);\n  }\n\n  const inShape = inInfo.shapeInfo.logicalShape;\n  const outShape = outShapeInfo.logicalShape;\n  if (inShape.length <= outShape.length) {\n    if (usesPackedTextures) {\n      res += getPackedSamplerAtOutputCoords(inInfo, outShapeInfo);\n    } else {\n      res += getSamplerAtOutputCoords(inInfo, outShapeInfo);\n    }\n  }\n  return res;\n}\n\nfunction getPackedOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutputPacked1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutputPacked2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutputPacked3DCoords(\n          outShape as [number, number, number], outTexShape);\n    default:\n      return getOutputPackedNDCoords(outShape, outTexShape);\n  }\n}\n\nfunction getOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutput1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutput2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutput3DCoords(\n          outShape as [number, number, number], outTexShape);\n    case 4:\n      return getOutput4DCoords(\n          outShape as [number, number, number, number], outTexShape);\n    case 5:\n      return getOutput5DCoords(\n          outShape as [number, number, number, number, number], outTexShape);\n    case 6:\n      return getOutput6DCoords(\n          outShape as [number, number, number, number, number, number],\n          outTexShape);\n    default:\n      throw new Error(\n          `${outShape.length}-D output sampling is not yet supported`);\n  }\n}\n\nfunction getFloatTextureSampleSnippet(glsl: GLSL): string {\n  return `\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return ${glsl.texture2D}(textureSampler, uv).r;\n    }\n  `;\n}\n\nfunction getFloatTextureSetRSnippet(glsl: GLSL): string {\n  return `\n    void setOutput(float val) {\n      ${glsl.output} = vec4(val, 0, 0, 0);\n    }\n  `;\n}\n\nfunction getFloatTextureSetRGBASnippet(glsl: GLSL): string {\n  return `\n    void setOutput(vec4 val) {\n      ${glsl.output} = val;\n    }\n  `;\n}\n\nfunction getShaderPrefix(glsl: GLSL): string {\n  const SHADER_PREFIX = `${glsl.version}\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    ${glsl.varyingFs} vec2 resultUV;\n    ${glsl.defineOutput}\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    ${glsl.defineSpecialNaN}\n    ${glsl.defineSpecialInf}\n    ${glsl.defineRound}\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    ${SAMPLE_1D_SNIPPET}\n    ${SAMPLE_2D_SNIPPET}\n    ${SAMPLE_3D_SNIPPET}\n  `;\n\n  return SHADER_PREFIX;\n}\n\nconst SAMPLE_1D_SNIPPET = `\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_2D_SNIPPET = `\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_3D_SNIPPET = `\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SHADER_PACKED_PREFIX = `\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n`;\n\nfunction getOutputScalarCoords() {\n  return `\n    int getOutputCoords() {\n      return 0;\n    }\n  `;\n}\n\nfunction getOutputPacked1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (packedTexShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * ${packedTexShape[1]}.0);\n      }\n    `;\n  }\n\n  if (packedTexShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ${packedTexShape[0]}.0);\n      }\n    `;\n  }\n\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      return 2 * (resTexRC.x * ${packedTexShape[1]} + resTexRC.y);\n    }\n  `;\n}\n\nfunction getOutput1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  if (texShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.x * ${texShape[1]}.0);\n      }\n    `;\n  }\n  if (texShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.y * ${texShape[0]}.0);\n      }\n    `;\n  }\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      return resTexRC.x * ${texShape[1]} + resTexRC.y;\n    }\n  `;\n}\n\nfunction getOutputPacked3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texelsInLogicalRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = texelsInLogicalRow * Math.ceil(shape[1] / 2);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec3(b, r, c);\n    }\n  `;\n}\n\nfunction getOutput3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n\nfunction getOutputPackedNDCoords(\n    shape: number[], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  const texelsInLogicalRow = Math.ceil(shape[shape.length - 1] / 2);\n  const texelsInBatch =\n      texelsInLogicalRow * Math.ceil(shape[shape.length - 2] / 2);\n  let texelsInBatchN = texelsInBatch;\n  let batches = ``;\n  let coords = 'b, r, c';\n\n  for (let b = 2; b < shape.length - 1; b++) {\n    texelsInBatchN *= shape[shape.length - b - 1];\n    batches = `\n      int b${b} = index / ${texelsInBatchN};\n      index -= b${b} * ${texelsInBatchN};\n    ` + batches;\n    coords = `b${b}, ` + coords;\n  }\n\n  return `\n    ivec${shape.length} getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      ${batches}\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec${shape.length}(${coords});\n    }\n  `;\n}\n\nfunction getOutput4DCoords(\n    shape: [number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2'], shape);\n\n  return `\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec4(r, c, d, d2);\n    }\n  `;\n}\n\nfunction getOutput5DCoords(\n    shape: [number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3'], shape);\n\n  return `\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(${texShape[0]},\n                             ${texShape[1]}));\n\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  `;\n}\n\nfunction getOutput6DCoords(\n    shape: [number, number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3', 'd4'], shape);\n\n  return `\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  `;\n}\n\nfunction getOutputPacked2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2(${packedTexShape[0]}, ${\n        packedTexShape[1]}));\n      }\n    `;\n  }\n\n  // texels needed to accommodate a logical row\n  const texelsInLogicalRow = Math.ceil(shape[1] / 2);\n\n  /**\n   * getOutputCoords\n   *\n   * resTexRC: The rows and columns of the texels. If you move over one\n   * texel to the right in the packed texture, you are moving over one column\n   * (not two).\n   *\n   * index: The texel index\n   */\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getOutput2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(${texShape[0]}, ${texShape[1]}));\n      }\n    `;\n  }\n  if (shape[1] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    `;\n  }\n  if (shape[0] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(0, index);\n      }\n    `;\n  }\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      int r = index / ${shape[1]};\n      int c = index - r * ${shape[1]};\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getFlatOffsetUniformName(texName: string): string {\n  return `offset${texName}`;\n}\n\nfunction getPackedSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}() {\n      return ${glsl.texture2D}(${texName}, halfCR);\n    }\n  `;\n}\n\nfunction getSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  if (inputInfo.shapeInfo.isUniform) {\n    return `float ${funcName}() {return ${texName};}`;\n  }\n  const [texNumR, texNumC] = inputInfo.shapeInfo.texShape;\n  if (texNumR === 1 && texNumC === 1) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n\n  const [tNumR, tNumC] = inputInfo.shapeInfo.texShape;\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}() {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int index) {\n      vec2 uv = packedUVfrom1D(\n        ${packedTexShape[0]}, ${packedTexShape[1]}, index);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int index) {\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const tNumR = texShape[0];\n  const tNumC = texShape[1];\n\n  if (tNumC === 1 && tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  if (tNumC === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2(0.5, (float(index + ${offset}) + 0.5) / ${tNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2((float(index + ${offset}) + 0.5) / ${tNumC}.0, 0.5);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  return `\n    float ${funcName}(int index) {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const glsl = getGlslDifferences();\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    return `\n      vec4 ${funcName}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n\n        return ${glsl.texture2D}(${texName}, uv);\n      }\n    `;\n  }\n\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const valuesPerRow = Math.ceil(shape[1] / 2);\n\n  return `\n    vec4 ${funcName}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${valuesPerRow}, ${packedTexShape[0]}, ${\n      packedTexShape[1]}, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    const texNumR = texShape[0];\n    const texNumC = texShape[1];\n    return `\n    float ${funcName}(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(${shape[1]}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const offset = getFlatOffsetUniformName(texName);\n  if (texNumC === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n  if (texNumR === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2((index + 0.5) / ${texNumC}.0, 0.5);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  return `\n  float ${funcName}(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ${shape[1]} + col + ${offset};\n    vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n    return sampleTexture(${texName}, uv);\n  }\n`;\n}\n\nfunction getPackedSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  if (shape[0] === 1) {\n    const squeezedShape = shape.slice(1);\n    const keptDims = [1, 2];\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['b', 'row', 'col'];\n    return `\n        ${getPackedSamplerFromInInfo(newInputInfo)}\n        vec4 ${funcName}(int b, int row, int col) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = valuesPerRow * Math.ceil(shape[1] / 2);\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${texNumR}, ${texNumC}, ${texelsInBatch}, ${valuesPerRow}, b, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride0 = shape[1] * shape[2];\n  const stride1 = shape[2];\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col', 'depth'];\n    return `\n        ${getSamplerFromInInfo(newInputInfo)}\n        float ${funcName}(int row, int col, int depth) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(${stride0}, ${stride1}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n        float ${funcName}(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2(${stride1}, 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(${texNumC}.0, ${texNumR}.0);\n          return sampleTexture(${texName}, uv);\n        }\n      `;\n  }\n\n  if (texNumC === stride1 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2(${shape[1]}, 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n      float ${funcName}(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ${stride0} + col * ${stride1} + depth + ${offset};\n        vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n        return sampleTexture(${texName}, uv);\n      }\n  `;\n}\n\nfunction getPackedSamplerND(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const rank = shape.length;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[rank - 1] / 2);\n  let texelsInBatch = valuesPerRow * Math.ceil(shape[rank - 2] / 2);\n  let params = `int b, int row, int col`;\n  let index = `b * ${texelsInBatch} + (row / 2) * ${valuesPerRow} + (col / 2)`;\n  for (let b = 2; b < rank - 1; b++) {\n    params = `int b${b}, ` + params;\n    texelsInBatch *= shape[rank - b - 1];\n    index = `b${b} * ${texelsInBatch} + ` + index;\n  }\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}(${params}) {\n      int index = ${index};\n      int texR = index / ${texNumC};\n      int texC = index - texR * ${texNumC};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}, ${texNumR});\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler4D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride2 = shape[3];\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4(${stride0}, ${stride1}, ${stride2}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(${stride1}, ${stride2}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride2 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(${shape[1] * shape[2]}, ${shape[2]}, 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} +\n          depth * ${stride2} + depth2;\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler5D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride3 = shape[4];\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          depth3;\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4(${stride1}, ${stride2}, ${stride3}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  if (texNumC === stride3 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3]},\n               ${shape[2] * shape[3]}, ${shape[3]}, 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler6D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3', 'depth4'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  const stride4 = shape[5];\n  const stride3 = shape[4] * stride4;\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(${stride4}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4(${stride1}, ${stride2}, ${stride3}, ${stride4})) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride4 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3] * shape[4]},\n               ${shape[2] * shape[3] * shape[4]},\n               ${shape[3] * shape[4]},\n               ${shape[4]})) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 * ${stride4} + depth4 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getUniformSampler(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n\n  if (inSize < 2) {\n    return `return ${texName};`;\n  }\n  return `\n    for (int i = 0; i < ${inSize}; i++) {\n      if (i == index) {\n        return ${texName}[i];\n      }\n    }\n  `;\n}\n\nfunction getPackedSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n\n  const type = getCoordsDataType(outRank);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  let output = `return outputValue;`;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n  const isInputScalar = inSize === 1;\n  const outSize = util.sizeFromShape(outShapeInfo.logicalShape);\n  const isOutputScalar = outSize === 1;\n\n  if (inRank === 1 && !isInputScalar && !isOutputScalar) {\n    output = `\n      return vec4(outputValue.xy, outputValue.xy);\n    `;\n  } else if (isInputScalar && !isOutputScalar) {\n    if (outRank === 1) {\n      output = `\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      `;\n    } else {\n      output = `\n        return vec4(outputValue.x);\n      `;\n    }\n  } else if (broadcastDims.length) {\n    const rows = inRank - 2;\n    const cols = inRank - 1;\n\n    if (broadcastDims.indexOf(rows) > -1 && broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.x);`;\n    } else if (broadcastDims.indexOf(rows) > -1) {\n      output = `return vec4(outputValue.x, outputValue.y, ` +\n          `outputValue.x, outputValue.y);`;\n    } else if (broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.xx, outputValue.zz);`;\n    }\n  }\n\n  return `\n    vec4 ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      vec4 outputValue = get${texFuncSnippet}(${unpackedCoordsSnippet});\n      ${output}\n    }\n  `;\n}\n\nfunction getSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const outTexShape = outShapeInfo.texShape;\n  const inTexShape = inputInfo.shapeInfo.texShape;\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  if (!inputInfo.shapeInfo.isUniform && inRank === outRank &&\n      inputInfo.shapeInfo.flatOffset == null &&\n      util.arraysEqual(inTexShape, outTexShape)) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, resultUV);\n      }\n    `;\n  }\n\n  const type = getCoordsDataType(outRank);\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  return `\n    float ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      return get${texFuncSnippet}(${unpackedCoordsSnippet});\n    }\n  `;\n}\n\nexport function getCoordsDataType(rank: number): string {\n  if (rank <= 1) {\n    return 'int';\n  } else if (rank === 2) {\n    return 'ivec2';\n  } else if (rank === 3) {\n    return 'ivec3';\n  } else if (rank === 4) {\n    return 'ivec4';\n  } else if (rank === 5) {\n    return 'ivec5';\n  } else if (rank === 6) {\n    return 'ivec6';\n  } else {\n    throw Error(`GPU for rank ${rank} is not yet supported`);\n  }\n}\n\n/** Returns a new input info (a copy) that has a squeezed logical shape. */\nfunction squeezeInputInfo(\n    inInfo: InputInfo, squeezedShape: number[]): InputInfo {\n  // Deep copy.\n  const newInputInfo: InputInfo = JSON.parse(JSON.stringify(inInfo));\n  newInputInfo.shapeInfo.logicalShape = squeezedShape;\n  return newInputInfo;\n}\n\nfunction getSqueezedParams(params: string[], keptDims: number[]): string {\n  return keptDims.map(d => params[d]).join(', ');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ArgMinMaxPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      shape: number[], windowSize: number, op: 'max'|'min',\n      firstPass: boolean) {\n    assert(\n        shape.length > 2,\n        () => `Packed arg${\n            op.charAt(0).toUpperCase() +\n            op.slice(1)} supports only inputs with rank above 2.`);\n    const inSize = shape[shape.length - 1];\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = shape.slice(0, -1);\n    if (outSize > 1) {\n      this.outputShape.push(outSize);\n    }\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    const outShape = this.outputShape;\n    const rank = outShape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n\n    let sourceLocSetup;\n    let sourceRank;\n    if (outSize === 1) {\n      sourceRank = rank + 1;\n      const sourceLocDType = getCoordsDataType(sourceRank);\n      sourceLocSetup = `\n        ${sourceLocDType} sourceLocR = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 1]};\n        ${sourceLocDType} sourceLocG = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 2]};\n        ${sourceLocDType} sourceLocA = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 1]};\n        ${sourceLocDType} sourceLocB = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 2]};`;\n    } else {\n      sourceRank = rank;\n      sourceLocSetup = `\n        ${dtype} sourceLocR = coords;\n        ++${coords[rank - 1]};\n        ${dtype} sourceLocG = coords;\n        ++${coords[rank - 2]};\n        ${dtype} sourceLocA = coords;\n        --${coords[rank - 1]};\n        ${dtype} sourceLocB = coords;\n        --${coords[rank - 2]};`;\n    }\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, sourceRank);\n    const inChannel = '.' + channels[sourceRank - 1];  // e.g. \".b\" for rank 3.\n    const intChannels = channels.map(x => 'int ' + x);\n    const srcRCoords =\n        getChannels('sourceLocR', sourceRank - 1).concat('inIdx.r');\n    const srcGCoords =\n        getChannels('sourceLocG', sourceRank - 1).concat('inIdx.g');\n    const srcBCoords =\n        getChannels('sourceLocB', sourceRank - 1).concat('inIdx.b');\n    const srcACoords =\n        getChannels('sourceLocA', sourceRank - 1).concat('inIdx.a');\n\n    const compOp = (op === 'max') ? 'greaterThan' : 'lessThan';\n    const fetchCandidateIdx = firstPass ? '' : `\n          inIdx = round(vec4(getBestIndicesAChannel(${srcRCoords.join()}),\n                             getBestIndicesAChannel(${srcGCoords.join()}),\n                             getBestIndicesAChannel(${srcBCoords.join()}),\n                             getBestIndicesAChannel(${srcACoords.join()})));`;\n\n    const fetchValue = `vec4(\n            getAChannel(${srcRCoords.join()}),\n            hasNextCol ? getAChannel(${srcGCoords.join()}) : 0.,\n            hasNextRow ? getAChannel(${srcBCoords.join()}) : 0.,\n            hasNextRow && hasNextCol ? getAChannel(${srcACoords.join()}) : 0.)`;\n\n    const getBestIndicesAChannelSnippet = firstPass ? '' : `\n      float getBestIndicesAChannel(${intChannels.join()}) {\n        return getChannel(getBestIndicesA(${channels.join()}),\n                                          vec2(${channels.slice(-2).join()}));\n      }`;\n\n    this.userCode = `\n      float getAChannel(${intChannels.join()}) {\n        return getChannel(getA(${channels.join()}),\n                               vec2(${channels.slice(-2).join()}));\n      }\n      ${getBestIndicesAChannelSnippet}\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        bool hasNextCol = ${coords[rank - 1]} < ${outShape[rank - 1] - 1};\n        bool hasNextRow = ${coords[rank - 2]} < ${outShape[rank - 2] - 1};\n        ${sourceLocSetup}\n        ivec4 srcIdx = ivec4(sourceLocR${inChannel}, sourceLocG${inChannel},\n          sourceLocB${inChannel}, sourceLocA${inChannel}) * ${windowSize};\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ${fetchValue};\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          inIdx = srcIdx;\n          ${fetchCandidateIdx}\n          vec4 candidate = ${fetchValue};\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(${compOp}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AvgPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth};\n            wC+= ${dilationWidth}) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class AvgPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = '0.0';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = '1.0';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ${offsetSnippet};\n        float scale = ${scaleSnippet};\n        float inv = scale * inversesqrt(variance + float(${varianceEpsilon}));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = 'vec4(0.0)';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = 'vec4(1.0)';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        vec4 offset = ${offsetSnippet};\n        vec4 scale = ${scaleSnippet};\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(${varianceEpsilon}));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\n// (Ar + Ai)(Br + Bi) =\n// ArBr + ArBi + AiBr + AiBi = ArBr - AB + ArBi + AiBr\n// Yr = ArBr - AB\n// Yi = ArBi + AiBr\nexport const COMPLEX_MULTIPLY = {\n  REAL: 'return areal * breal - aimag * bimag;',\n  IMAG: 'return areal * bimag + aimag * breal;'\n};\n\nexport class BinaryOpComplexProgram implements GPGPUProgram {\n  variableNames = ['AReal', 'AImag', 'BReal', 'BImag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    this.userCode = `\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        ${op}\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nconst CHECK_NAN_SNIPPET = `\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n`;\n\nexport const ADD = 'return a + b;';\nexport const SUB = 'return a - b;';\nexport const MUL = 'return a * b;';\n\n// Without the equality check div produces 0.9999 for a = b, which when\n// floored can cause errors.\nexport const DIV = `\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;`;\n\n// We use native integer division to deal with floating point imprecision. Since\n// we implement floor division and glsl implements truncated division, we\n// correct for this by subtracting 1 from result when the result is negative and\n// there is a remainder.\nexport const INT_DIV = `\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n`;\n\nexport const POW = `\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`;\nexport const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n\nexport const EQUAL = `return float(a == b);`;\n\nexport const NOT_EQUAL = `return float(a != b);`;\n\nexport const LESS = `return float(a < b);`;\n\nexport const LESS_EQUAL = `return float(a <= b);`;\n\nexport const GREATER = `return float(a > b);`;\n\nexport const GREATER_EQUAL = `return float(a >= b);`;\n\nexport const LOGICAL_AND = `return float(a >= 1.0 && b >= 1.0);`;\n\nexport const LOGICAL_OR = `return float(a >= 1.0 || b >= 1.0);`;\n\nexport const MAX = CHECK_NAN_SNIPPET + `\n  return max(a, b);\n`;\nexport const MIN = CHECK_NAN_SNIPPET + `\n  return min(a, b);\n`;\nexport const MOD = `if (b == 0.0) return NAN;\n  return mod(a, b);`;\n\nexport const ATAN2 = CHECK_NAN_SNIPPET + `\n  return atan(a, b);\n`;\n\nexport const ELU_DER = `return (b >= 1.0) ? a : a * (b + 1.0);`;\n\nexport const PRELU = `return (a < 0.) ? b * a : a;`;\n\nexport class BinaryOpProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    this.userCode = `\n      float binaryOperation(float a, float b) {\n        ${op}\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {sizeFromShape} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nconst CHECK_NAN_SNIPPET = `\n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n`;\n\n// We do the same as in ./binaryop_gpu, with vec4 and ivec4.\n// On Linux, the vectorized implementation produces NaNs when a and b are 0.\nexport const DIV = `\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n`;\n\nexport const INT_DIV = `\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n`;\n\nexport const POW = `\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const PRELU = `\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;\n\nexport const ELU_DER = `\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`;\n\nexport const ATAN2 = `\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const EQUAL = `\n  return vec4(equal(a, b));\n`;\n\nexport const NOT_EQUAL = `\n  return vec4(notEqual(a, b));\n`;\n\nexport const LESS = `\n  return vec4(lessThan(a, b));\n`;\n\nexport const LESS_EQUAL = `\n  return vec4(lessThanEqual(a, b));\n`;\n\nexport const GREATER = `\n  return vec4(greaterThan(a, b));\n`;\n\nexport const GREATER_EQUAL = `\n  return vec4(greaterThanEqual(a, b));\n`;\n\nexport const LOGICAL_AND = `\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n`;\n\nexport const LOGICAL_OR = `\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n`;\n\nexport const MAX = `\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MIN = `\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MOD = `\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport class BinaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n  supportsBroadcasting = true;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      op: string, aShape: number[], bShape: number[],\n      checkOutOfBounds = false) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    const rank = this.outputShape.length;\n    let checkOutOfBoundsString = '';\n    if (checkOutOfBounds) {\n      if (rank === 0 || sizeFromShape(this.outputShape) === 1) {\n        checkOutOfBoundsString = `\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        `;\n      } else {\n        const dtype = getCoordsDataType(rank);\n        checkOutOfBoundsString = `\n          ${dtype} coords = getOutputCoords();\n        `;\n        if (rank === 1) {\n          checkOutOfBoundsString += `\n            result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          `;\n        } else {\n          const channels = getChannels('coords', rank);\n          checkOutOfBoundsString += `\n            bool nextRowOutOfBounds =\n              (${channels[rank - 2]} + 1) >= ${this.outputShape[rank - 2]};\n            bool nextColOutOfBounds =\n              (${channels[rank - 1]} + 1) >= ${this.outputShape[rank - 1]};\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          `;\n        }\n      }\n    }\n\n    this.userCode = `\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        ${op}\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ${checkOutOfBoundsString}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ComplexAbsProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(shape: number[]) {\n    this.outputShape = shape;\n    this.userCode = `\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ConcatProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  // Concats 2d tensors along axis=1. See comments in MathBackendWebGL.concat().\n  constructor(shapes: Array<[number, number]>) {\n    this.outputShape = concat_util.computeOutShape(shapes, 1 /* axis */);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][1];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][1];\n    }\n\n    const snippets = [`if (yC < ${offsets[0]}) setOutput(getT0(yR, yC));`];\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      snippets.push(\n          `else if (yC < ${offsets[i]}) ` +\n          `setOutput(getT${i}(yR, yC-${shift}));`);\n    }\n    const lastIndex = offsets.length;\n    const lastShift = offsets[offsets.length - 1];\n    snippets.push(`else setOutput(getT${lastIndex}(yR, yC-${lastShift}));`);\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        ${snippets.join('\\n        ')}\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ConcatPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(shapes: number[][], axis: number) {\n    this.outputShape = concat_util.computeOutShape(shapes, axis);\n    const shape = this.outputShape;\n    const rank = shape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][axis];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][axis];\n    }\n\n    const channel = channels[axis];\n    const lastChannels = channels.slice(-2);\n    const allChannels = channels.join();\n\n    let getValueSnippet = `if (${channel} < ${offsets[0]}) {\n        return getChannel(\n            getT0(${allChannels}), vec2(${lastChannels.join()}));\n        }`;\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      // Note: the >= comparison below may seem unnecessary given the check\n      // above but is needed to workaround branch execution issues on some\n      // devices. It makes all the conditions exclusive without relying on\n      // execution order.\n      getValueSnippet += `\n        if (${channel} < ${offsets[i]}  && ${channel} >= ${offsets[i - 1]}) {\n          return getChannel(\n            getT${i}(${shiftedChannels(channels, channel, shift)}),\n            vec2(${shiftedChannels(lastChannels, channel, shift)}));\n        }`;\n    }\n    const lastIndex = offsets.length;\n    const shift = offsets[offsets.length - 1];\n    getValueSnippet += `\n        return getChannel(\n          getT${lastIndex}(${shiftedChannels(channels, channel, shift)}),\n          vec2(${shiftedChannels(lastChannels, channel, shift)}));`;\n\n    this.userCode = `\n      float getValue(${channels.map(x => 'int ' + x)}) {\n        ${getValueSnippet}\n      }\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        vec4 result = vec4(getValue(${coords}), 0., 0., 0.);\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} + 1;\n        if (${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.g = getValue(${coords});\n        }\n\n        ${coords[rank - 2]} = ${coords[rank - 2]} + 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]}) {\n          result.a = getValue(${coords});\n        }\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} - 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]} &&\n            ${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.b = getValue(${coords});\n        }\n        setOutput(result);\n      }\n    `;\n  }\n}\n\n/**\n * Return an expression for coordinates into a vector where a given channel\n * will be offset by [shift].\n *\n * @param channels the channels to consider\n * @param channel the channel we want shifted\n * @param shift  the amount to subtract from the channel.\n *\n * @returns a string of the form 'x, y-[shift], z' where any one channel can\n * have the shift applied.\n */\nfunction shiftedChannels(channels: string[], channel: string, shift: number) {\n  const channelIdx = channels.indexOf(channel);\n  const res = channels.map((c, idx) => {\n    if (idx === channelIdx) {\n      return `${c} - ${shift}`;\n    } else {\n      return c;\n    }\n  });\n  return res.join();\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              if (${isChannelsLast}) {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[${channelDim}];\n\n        ivec2 dyCorner = ivec2(coords[${rowDim}], coords[${colDim}]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n\n              if (${isChannelsLast}) {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    this.userCode = `\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yF = 0; yF < ${convInfo.outDepth}; yF++) {\n            int xF = wF + yF * ${strideDepth} - ${padFront};\n\n            if (xF < 0 || xF >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n              int xR = wR + yR * ${strideHeight} - ${padTop};\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n                int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padFront = filterDepth - 1 - convInfo.padInfo.front;\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          float dyF = float(dyFCorner + wF) / ${strideDepth}.0;\n\n          if (dyF < 0.0 || dyF >= ${convInfo.outDepth}.0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ${filterDepth} - 1 - wF;\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ${filterHeight} - 1 - wR;\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ${filterWidth} - 1 - wC;\n\n              for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * ${channelMul} + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class DepthwiseConv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < ${channelMul}; dm++) {\n              int d2 = d1 * ${channelMul} + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivationWeights = false) {\n    this.outputShape = convInfo.outShape;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivationWeights) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivationWeights) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[${channelDim}];\n\n        ivec2 xRCCorner =\n            ivec2(coords[${rowDim}], coords[${colDim}]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${convInfo.inWidth}) {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (${inputDepthVec4Remainder === 1}) {\n\n              if (${isChannelsLast}) {\n                dotProd +=\n                    getX(batch, xR, xC, ${inputDepthNearestVec4}) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              } else {\n                dotProd +=\n                    getX(batch, ${inputDepthNearestVec4}, xR, xC) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              }\n\n            } else if (${inputDepthVec4Remainder === 2}) {\n              vec2 wValues = vec2(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (${inputDepthVec4Remainder === 3}) {\n              vec3 wValues = vec3(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 2, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nexport class Conv3DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.outShape;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n\n    this.userCode = `\n      const ivec3 strides = ivec3(${strideDepth}, ${strideHeight}, ${\n        strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          int xF = xFCorner + wF * ${dilationDepth};\n\n          if (xF < 0 || xF >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            int xR = xRCorner + wR * ${dilationHeight};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (${inputDepthVec4Remainder === 1}) {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}) *\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2);\n              } else if (${inputDepthVec4Remainder === 2}) {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (${inputDepthVec4Remainder === 3}) {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ${channelMul};\n        int q = d2 - d1 * ${channelMul};\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${xNumRows}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${xNumCols}) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as util from '../../util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConvPacked2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const texelsAcross = filterWidth;\n\n    let mainLoop = `int xR; int xC; int xCOffset;`;\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `\n          vec4 xTexelR${r}C${c * 2} = vec4(0.);\n          vec4 wR${r}C${c} = vec4(0.);\n          vec4 xR${r}C${c} = vec4(0.);`;\n      }\n    }\n\n    /**\n     * This vectorized implementation works by gathering the values needed for\n     * each output channel's dot product into vec4's and then multiplying them\n     * all together (this happens in the final double for-loop below). Most of\n     * the main loop consists of constructing these vec4's with the minimum\n     * number of texture2D calls, which means making use of all four returned\n     * values from a texture2D call at once.\n     */\n    for (let r = 0; r < filterHeight; r++) {\n      for (let texelC = 0; texelC < texelsAcross; texelC++) {\n        const c = texelC * 2;\n\n        mainLoop += `\n          xR = xRCorner + ${r * dilationHeight};\n          xC = xCCorner + ${c * dilationWidth};\n        `;\n\n        if (strideWidth === 1) {\n          if (c < filterWidth) {\n            // If padding is odd, the outer texels have to be composed.\n            if (padLeft % 2 === 1) {\n              // TODO: Ensure vec4 previous does not result in redundant sample,\n              // and avoid setting xTexelRC's that exceed the boundary in the\n              // first place rather than resetting them to vec4(0)).\n\n              // To compute xCOffset:\n              // - If padding is odd, we must add 1 to ensure we ask for an\n              // even-numbered row.\n              // - We subtract 2 to access the previous texel.\n\n              mainLoop += `\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= ${xNumCols}) {\n                    xTexelR${r}C${c}.zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= ${xNumCols}) {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR${r}C${c} = vec4(previous.zw, xTexelR${r}C${c}.xy);\n                } else {\n                  xR${r}C${c} = vec4(0, 0, xTexelR${r}C${c}.xy);\n                }\n              `;\n            } else {\n              // Padding is even, so xRC corresponds to a single texel.\n              mainLoop += `\n                if(xR >= 0 && xR < ${xNumRows} && xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xR${r}C${c} = xTexelR${r}C${c};\n              `;\n            }\n\n            if (c + 1 < filterWidth) {\n              // If dilation is even, the second entry should match the first\n              // (either both are composed or both are single samples). But if\n              // dilation is odd, then the second entry should be the opposite\n              // of the first (if the first is composed, the second is a single\n              // sample, and vice versa.)\n\n              const nextTexelOffset = padLeft % 2 === 0 ?\n                  util.nearestLargerEven(dilationWidth) :\n                  dilationWidth;\n\n              if ((dilationWidth % 2 === 0 && padLeft % 2 === 1) ||\n                  (dilationWidth % 2 !== 0 && padLeft % 2 !== 1)) {\n                mainLoop += `\n                  xCOffset = xC + ${padLeft % 2} + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n                `;\n\n                // If dilation > 1 then the xRC's will not be able to share any\n                // values, so each xRC will require two unique calls to getX.\n                if (dilationWidth > 1) {\n                  mainLoop += `\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < ${xNumRows} &&\n                      xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                      xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR${r}C${c} = vec4(0.);\n                    }\n                  `;\n                }\n\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.xy);\n                `;\n              } else {\n                mainLoop += `\n                  xCOffset = xC + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR${r}C${c + 1} = xTexelR${r}C${c + 2};\n                `;\n              }\n            }\n          }\n        } else {  // stride > 1\n          if (c < filterWidth) {\n            mainLoop += `\n              if(xR >= 0 && xR < ${xNumRows}) {\n            `;\n\n            // Depending on whether padLeft is even or odd, we want either the\n            // xy or zw channels from X texels for xR${r}C${c}. If padLeft is\n            // even, xR${r}C${c + 1} is simply the zw channels of texels we've\n            // already sampled. But if padLeft is odd, xR${r}C{$c + 1}.zw will\n            // need to come from the xy channels of a new texel, hence the `vec4\n            // final` initialized below.\n            if (padLeft % 2 === 1) {\n              mainLoop += `\n                xCOffset = xC + 1 - ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + ${strideWidth};\n                  if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR${r}C${c + 1} = vec4(xTexelR${r}C${c + 2}.xy, final.xy);\n                `;\n              }\n            } else {\n              mainLoop += `\n                if(xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.xy, xTexelR${r}C${c + 2}.xy);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n                `;\n              }\n            }\n\n            mainLoop += `}`;\n          }\n        }\n\n        if (c < filterWidth) {\n          mainLoop += `\n            vec4 wTexelR${r}C${c} = getW(${r}, ${c}, d1, q);\n            wR${r}C${c} = vec4(wTexelR${r}C${c}.xz, wTexelR${r}C${c}.xz);\n          `;\n\n          if (c + 1 < filterWidth) {\n            mainLoop += `\n              vec4 wTexelR${r}C${c + 1} = getW(${r}, ${c + 1}, d1, q);\n              wR${r}C${c + 1} =\n                vec4(wTexelR${r}C${c + 1}.xz, wTexelR${r}C${c + 1}.xz);`;\n          }\n        }\n      }\n    }\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `dotProd += xR${r}C${c} * wR${r}C${c};`;\n      }\n    }\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        ${mainLoop}\n\n        vec4 result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class CropAndResizeProgram implements GPGPUProgram {\n  variableNames = ['Image', 'Boxes', 'BoxInd'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      imageShape: [number, number, number, number], boxShape: [number, number],\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number) {\n    const [batch, imageHeight, imageWidth, depth] = imageShape;\n    const [numBoxes, ] = boxShape;\n    const [cropHeight, cropWidth] = cropSize;\n    this.outputShape = [numBoxes, cropHeight, cropWidth, depth];\n    const methodId = method === 'bilinear' ? 1 : 0;\n\n    const [inputHeightFloat, inputWidthFloat] =\n        [`${imageHeight - 1}.0`, `${imageWidth - 1}.0`];\n\n    const [heightRatio, heightScale, inY] = cropHeight > 1 ?\n        [\n          `${(imageHeight - 1) / (cropHeight - 1)}`,\n          '(y2-y1) * height_ratio',\n          `y1*${inputHeightFloat} + float(y)*(height_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (y1+y2) * ${inputHeightFloat}`,\n        ];\n    const [widthRatio, widthScale, inX] = cropWidth > 1 ?\n        [\n          `${(imageWidth - 1) / (cropWidth - 1)}`,\n          '(x2-x1) * width_ratio',\n          `x1*${inputWidthFloat} + float(x)*(width_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (x1+x2) * ${inputWidthFloat}`,\n        ];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op_gpu.cu.cc\n    this.userCode = `\n      const float height_ratio = float(${heightRatio});\n      const float width_ratio = float(${widthRatio});\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ${batch}) {\n          return;\n        }\n\n        float height_scale = ${heightScale};\n        float width_scale = ${widthScale};\n\n        float in_y = ${inY};\n        if( in_y < 0.0 || in_y > ${inputHeightFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n        float in_x = ${inX};\n        if( in_x < 0.0 || in_x > ${inputWidthFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(${methodId} == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class CumSumProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(shape: number[], exclusive: boolean, reverse: boolean) {\n    this.outputShape = shape;\n    const rank = shape.length;\n    const finalDim = shape[shape.length - 1];\n    const comparator = reverse ? '<' : '>';\n\n    this.userCode = `\n      int getIndex(int i) {\n        ${reverse ? `return ${finalDim} -i - 1;` : 'return i;'}\n      }\n\n      void main() {\n        ${getCoordsDataType(rank)} coords = getOutputCoords();\n        int end = ${getFinalCoord(rank, 'coords')};\n        float val = 0.0;\n        for (int i = ${finalDim} - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx ${comparator} end) {\n            continue;\n          }\n          if (idx == end && ${exclusive}) {\n            continue;\n          }\n          ${getFinalCoord(rank, 'coords')} = idx;\n          val += getX(${getCoords(rank, 'coords')});\n        }\n        setOutput(val);\n      }\n    `;\n  }\n}\n\nfunction getCoords(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.x, ${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.x, ${name}.y, ${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.x, ${name}.y, ${name}.z, ${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n\nfunction getFinalCoord(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: [number, number, number];\n  packedInputs = false;\n  packedOutput = true;\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: [number, number, number];\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthToSpaceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  blockSize: number;\n  dataFormat: string;\n\n  constructor(\n      outputShape: number[], blockSize: number, dataFormat: 'NHWC'|'NCHW') {\n    this.outputShape = outputShape;\n    this.blockSize = blockSize;\n    this.dataFormat = dataFormat;\n    this.userCode = `\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ${this.getHeightCoordString()};\n      int w = ${this.getWidthCoordString()};\n      int d = ${this.getDepthCoordString()};\n\n      int in_h = h / ${blockSize};\n      int offset_h = imod(h, ${blockSize});\n      int in_w = w / ${blockSize};\n      int offset_w = imod(w, ${blockSize});\n      int offset_d = (offset_h * ${blockSize} + offset_w) *\n        ${this.getOutputDepthSize()};\n      int in_d = d + offset_d;\n\n      float result = ${this.getInputSamplingString()};\n      setOutput(result);\n    }\n  `;\n  }\n\n  private getHeightCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[1]`;\n    } else {\n      return `coords[2]`;\n    }\n  }\n\n  private getWidthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[2]`;\n    } else {\n      return `coords[3]`;\n    }\n  }\n\n  private getDepthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[3]`;\n    } else {\n      return `coords[1]`;\n    }\n  }\n\n  private getOutputDepthSize(): number {\n    if (this.dataFormat === 'NHWC') {\n      return this.outputShape[3];\n    } else {\n      return this.outputShape[1];\n    }\n  }\n\n  private getInputSamplingString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `getX(b, in_h, in_w, in_d)`;\n    } else {\n      return `getX(b, in_d, in_h, in_w)`;\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DiagProgram implements GPGPUProgram {\n  variableNames = ['X'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(size: number) {\n    this.outputShape = [size, size];\n    this.userCode = `\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        float x = getAAtOutCoords();\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = false;\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: [number, number, number]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class EncodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let output = `result`;\n    if (inputIsUnsignedByte) {\n      output = `floor(result * 255. + 0.5)`;\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / ${width};\n        int c = imod(flatIndex, ${width});\n        vec2 uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n        vec4 values = ${glsl.texture2D}(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        ${glsl.output} = vec4(${output}, 0., 0., 0.);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\n/*\nThis is how the shader encodes a tensor with shape = [2, 3, 5]\n(indices are [batch, row, col]).\n\n000|001   002|003   004|xxx   020|021   022|023   024|xxx\n-------   -------   -------   -------   -------   -------\n010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\n100|101   102|103   104|xxx   120|121   122|123   124|xxx\n-------   -------   -------   -------   -------   -------\n110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\nSingle texels contain only values from the same batch, and from adjacent rows\nand columns.\n */\n\nexport class EncodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let mainLoop = '';\n    let output = 'result';\n    if (inputIsUnsignedByte) {\n      output = 'floor(result * 255. + 0.5)';\n    }\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        const channel = row * 2 + col;\n\n        mainLoop += `\n          localCoords = coords;\n          if(localCoords[2] + ${col} < ${outputShape[2]}) {\n            localCoords[2] += ${col};\n            if(localCoords[1] + ${row} < ${outputShape[1]}) {\n              localCoords[1] += ${row};\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / ${width};\n              c = imod(flatIndex, ${width});\n              uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n              values = ${glsl.texture2D}(A, uv);\n\n              if(offset == 0) {\n                result[${channel}] = values[0];\n              } else if(offset == 1) {\n                result[${channel}] = values[1];\n              } else if(offset == 2) {\n                result[${channel}] = values[2];\n              } else {\n                result[${channel}] = values[3];\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        ${mainLoop}\n\n        ${glsl.output} = ${output};\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const COMPLEX_FFT = {\n  REAL: 'return real * expR - imag * expI;',\n  IMAG: 'return real * expI + imag * expR;'\n};\n\nexport class FFTProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, inputShape: [number, number], inverse: boolean) {\n    const innerDim = inputShape[1];\n    this.outputShape = inputShape;\n\n    const exponentMultiplierSnippet =\n        inverse ? `2.0 * ${Math.PI}` : `-2.0 * ${Math.PI}`;\n    const resultDenominator = inverse ? `${innerDim}.0` : '1.0';\n\n    this.userCode = `\n      const float exponentMultiplier = ${exponentMultiplierSnippet};\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        ${op}\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float(${innerDim});\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < ${innerDim}; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / ${resultDenominator};\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class FillProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  valueLoc: WebGLUniformLocation;\n\n  constructor(shape: number[], value: number) {\n    this.variableNames = ['x'];\n    this.outputShape = shape;\n\n    this.userCode = `\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(value: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.valueLoc == null) {\n        this.valueLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'value');\n      }\n      gpgpu.gl.uniform1f(this.valueLoc, value);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherProgram implements GPGPUProgram {\n  variableNames = ['A', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], indicesLength: number, axis: number) {\n    const outputShape: number[] = aShape.slice();\n    outputShape[axis] = indicesLength;\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape, axis);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[], axis: number): string {\n  const rank = aShape.length;\n  if (rank > 4) {\n    throw Error(`Gather for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `int(getIndices(resRC))`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    if (i === axis) {\n      sourceCoords.push(`int(getIndices(${currentCoords[i]}))`);\n    } else {\n      sourceCoords.push(`${currentCoords[i]}`);\n    }\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherNDProgram implements GPGPUProgram {\n  variableNames = ['x', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  constructor(\n      private sliceDim: number, private strides: number[], shape: number[]) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    const strideString = this.sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${this.strides});\n         void main() {\n          ${dtype} coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < ${this.sliceDim}; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * ${strideString};\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PixelData, TypedArray} from '../../types';\n\nimport {getGlslDifferences} from './glsl_version';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport * as webgl_util from './webgl_util';\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean): WebGLShader {\n  const glsl = getGlslDifferences();\n  const vertexShaderSource = `${glsl.version}\n    precision highp float;\n    ${glsl.attribute} vec3 clipSpacePos;\n    ${glsl.attribute} vec2 uv;\n    ${glsl.varyingVs} vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }`;\n  return webgl_util.createVertexShader(gl, debug, vertexShaderSource);\n}\n\nexport function createVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // [x y z u v] * [upper-left, lower-left, upper-right, lower-right]\n  const vertexArray = new Float32Array(\n      [-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]);\n  return webgl_util.createStaticVertexBuffer(gl, debug, vertexArray);\n}\n\nexport function createIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // OpenGL (and WebGL) have \"CCW == front\" winding\n  const triangleVertexIndices = new Uint16Array([0, 1, 2, 2, 1, 3]);\n  return webgl_util.createStaticIndexBuffer(gl, debug, triangleVertexIndices);\n}\n\nfunction createAndConfigureTexture(\n    gl: WebGLRenderingContext, debug: boolean, width: number, height: number,\n    internalFormat: number, textureFormat: number,\n    textureType: number): WebGLTexture {\n  webgl_util.validateTextureSize(width, height);\n  const texture = webgl_util.createTexture(gl, debug);\n\n  const tex2d = gl.TEXTURE_2D;\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(tex2d, texture));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MIN_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MAG_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          tex2d, 0, internalFormat, width, height, 0, textureFormat,\n          textureType, null));\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n  return texture;\n}\n\nexport function createFloat32MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatFloat,\n      textureConfig.textureFormatFloat, gl.FLOAT);\n}\n\nexport function createFloat16MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatHalfFloat,\n      textureConfig.textureFormatFloat, textureConfig.textureTypeHalfFloat);\n}\n\nexport function createUnsignedBytesMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE);\n}\n\nexport function createPackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedFloat,\n      gl.RGBA, gl.FLOAT);\n}\n\nexport function createFloat16PackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedHalfFloat,\n      gl.RGBA, textureConfig.textureTypeHalfFloat);\n}\n\nexport function bindVertexProgramAttributeStreams(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    vertexBuffer: WebGLBuffer): boolean {\n  const posOffset = 0;               // x is the first buffer element\n  const uvOffset = 3 * 4;            // uv comes after [x y z]\n  const stride = (3 * 4) + (2 * 4);  // xyz + uv, each entry is 4-byte float.\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer));\n  const success = webgl_util.bindVertexBufferToProgramAttribute(\n      gl, debug, program, 'clipSpacePos', vertexBuffer, 3, stride, posOffset);\n  return success &&\n      webgl_util.bindVertexBufferToProgramAttribute(\n          gl, debug, program, 'uv', vertexBuffer, 2, stride, uvOffset);\n}\n\nexport function uploadDenseMatrixToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    width: number, height: number, data: TypedArray,\n    textureConfig: TextureConfig) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n\n  let dataForUpload: TypedArray, texelDataType: number, internalFormat: number;\n  if (data instanceof Uint8Array) {\n    dataForUpload = new Uint8Array(width * height * 4);\n    texelDataType = gl.UNSIGNED_BYTE;\n    internalFormat = gl.RGBA;\n  } else {\n    dataForUpload = new Float32Array(width * height * 4);\n    texelDataType = gl.FLOAT;\n    internalFormat = textureConfig.internalFormatPackedFloat;\n  }\n\n  dataForUpload.set(data);\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          gl.TEXTURE_2D, 0, internalFormat, width, height, 0, gl.RGBA,\n          texelDataType, dataForUpload));\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function uploadPixelDataToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, pixels.width, pixels.height, 0, gl.RGBA,\n            gl.UNSIGNED_BYTE, (pixels as PixelData).data));\n  } else {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE,\n            pixels as ImageData | HTMLImageElement | HTMLCanvasElement |\n                HTMLVideoElement));\n  }\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function createBufferFromOutputTexture(\n    gl2: WebGL2RenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLBuffer {\n  // Create and bind the buffer.\n  const buffer = gl2.createBuffer();\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer));\n\n  // Initialize the buffer to the size of the texture in bytes.\n  const bytesPerFloat = 4;\n  const valuesPerTexel = 4;\n  const bufferSizeBytes = bytesPerFloat * valuesPerTexel * rows * columns;\n\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.bufferData(\n          gl2.PIXEL_PACK_BUFFER, bufferSizeBytes, gl2.STREAM_READ));\n\n  // Enqueue a command on the GPU command queue to copy of texture into the\n  // buffer.\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.readPixels(0, 0, columns, rows, gl2.RGBA, gl2.FLOAT, 0));\n\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null));\n\n  return buffer;\n}\n\nexport function downloadFloat32MatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer,\n    size: number): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget = new Float32Array(size);\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadByteEncodedFloatMatrixFromOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig) {\n  const [w, h] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n\n  const numChannels = 4;\n  const downloadTarget = new Uint8Array(\n      tex_util.getUnpackedArraySizeFromMatrixSize(rows * columns, numChannels));\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, w, h, textureConfig.downloadTextureFormat, gl.UNSIGNED_BYTE,\n          downloadTarget));\n\n  // By wrapping the buffer in a Float32Array, we use native browser IEEE 754\n  // decoding of the 4 bytes that back each 32 bit float.\n  return new Float32Array(downloadTarget.buffer);\n}\n\nexport function downloadPackedMatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer, batch: number, rows: number,\n    cols: number, physicalRows: number, physicalCols: number,\n    textureConfig: TextureConfig): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget =\n      new Float32Array(tex_util.getPackedRGBAArraySizeFromMatrixShape(\n          physicalRows, physicalCols));\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadMatrixFromPackedOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, physicalRows: number,\n    physicalCols: number): Float32Array {\n  const packedRGBA = new Float32Array(physicalRows * physicalCols * 4);\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, physicalCols, physicalRows, gl.RGBA, gl.FLOAT, packedRGBA));\n\n  return packedRGBA;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {PixelData, TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {getWebGLContext, setWebGLContext} from './canvas_util';\nimport * as gpgpu_util from './gpgpu_util';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport {WebGL1DisjointQueryTimerExtension, WebGL2DisjointQueryTimerExtension} from './webgl_types';\nimport * as webgl_util from './webgl_util';\n\nexport interface FenceContext {\n  query: WebGLQuery|WebGLSync;\n  isFencePassed(): boolean;\n}\n\nexport class GPGPUContext {\n  gl: WebGLRenderingContext;\n  textureFloatExtension: {};\n  textureHalfFloatExtension: {};\n  colorBufferFloatExtension: {};\n  colorBufferHalfFloatExtension: {};\n  disjointQueryTimerExtension: WebGL2DisjointQueryTimerExtension|\n      WebGL1DisjointQueryTimerExtension;\n  vertexBuffer: WebGLBuffer;\n  indexBuffer: WebGLBuffer;\n  framebuffer: WebGLFramebuffer;\n  outputTexture: WebGLTexture|null = null;\n  program: WebGLProgram|null = null;\n  private disposed = false;\n  private disjoint: boolean;\n  private textureConfig: TextureConfig;\n\n  constructor(gl?: WebGLRenderingContext) {\n    const glVersion = env().getNumber('WEBGL_VERSION');\n    if (gl != null) {\n      this.gl = gl;\n      setWebGLContext(glVersion, gl);\n    } else {\n      this.gl = getWebGLContext(glVersion);\n    }\n    // WebGL 2.0 enables texture floats without an extension.\n    let COLOR_BUFFER_FLOAT = 'WEBGL_color_buffer_float';\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (env().getNumber('WEBGL_VERSION') === 1) {\n      const TEXTURE_FLOAT = 'OES_texture_float';\n      const TEXTURE_HALF_FLOAT = 'OES_texture_half_float';\n\n      this.textureFloatExtension =\n          webgl_util.getExtensionOrThrow(this.gl, this.debug, TEXTURE_FLOAT);\n      if (webgl_util.hasExtension(this.gl, TEXTURE_HALF_FLOAT)) {\n        this.textureHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, TEXTURE_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support half float textures, yet the ' +\n            'environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n\n      this.colorBufferFloatExtension = this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, COLOR_BUFFER_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support color renderable half floats, yet ' +\n            'the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n    } else {\n      COLOR_BUFFER_FLOAT = 'EXT_color_buffer_float';\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_FLOAT)) {\n        this.colorBufferFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      } else if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      } else {\n        throw new Error('GL context does not support color renderable floats');\n      }\n    }\n\n    this.vertexBuffer = gpgpu_util.createVertexBuffer(this.gl, this.debug);\n    this.indexBuffer = gpgpu_util.createIndexBuffer(this.gl, this.debug);\n    this.framebuffer = webgl_util.createFramebuffer(this.gl, this.debug);\n\n    this.textureConfig =\n        tex_util.getTextureConfig(this.gl, this.textureHalfFloatExtension);\n  }\n\n  private get debug(): boolean {\n    return env().getBool('DEBUG');\n  }\n\n  public dispose() {\n    if (this.disposed) {\n      return;\n    }\n    if (this.program != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound WebGLProgram.' +\n          ' This is probably a resource leak, delete the program with ' +\n          'GPGPUContext.deleteProgram before disposing.');\n    }\n    if (this.outputTexture != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound output matrix ' +\n          'texture.  This is probably a resource leak, delete the output ' +\n          'matrix texture with GPGPUContext.deleteMatrixTexture before ' +\n          'disposing.');\n    }\n    const gl = this.gl;\n    webgl_util.callAndCheck(gl, this.debug, () => gl.finish());\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteFramebuffer(this.framebuffer));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteBuffer(this.indexBuffer));\n    this.disposed = true;\n  }\n\n  public createFloat32MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat32MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createFloat16MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createUnsignedBytesMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createUnsignedBytesMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public uploadPixelDataToTexture(\n      texture: WebGLTexture,\n      pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadPixelDataToTexture(this.gl, this.debug, texture, pixels);\n  }\n\n  public uploadDenseMatrixToTexture(\n      texture: WebGLTexture, width: number, height: number, data: TypedArray) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadDenseMatrixToTexture(\n        this.gl, this.debug, texture, width, height, data, this.textureConfig);\n  }\n\n  public createFloat16PackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16PackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createPackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createPackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public deleteMatrixTexture(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    if (this.outputTexture === texture) {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n      this.outputTexture = null;\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.deleteTexture(texture));\n  }\n\n  public downloadByteEncodedFloatMatrixFromOutputTexture(\n      texture: WebGLTexture, rows: number, columns: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadByteEncodedFloatMatrixFromOutputTexture(\n            this.gl, this.debug, rows, columns, this.textureConfig));\n  }\n\n  public downloadPackedMatrixFromBuffer(\n      buffer: WebGLBuffer, batch: number, rows: number, columns: number,\n      physicalRows: number, physicalCols: number): Float32Array {\n    return gpgpu_util.downloadPackedMatrixFromBuffer(\n        this.gl, buffer, batch, rows, columns, physicalRows, physicalCols,\n        this.textureConfig);\n  }\n\n  public downloadFloat32MatrixFromBuffer(buffer: WebGLBuffer, size: number):\n      Float32Array {\n    return gpgpu_util.downloadFloat32MatrixFromBuffer(this.gl, buffer, size);\n  }\n\n  public createBufferFromTexture(\n      texture: WebGLTexture, rows: number, columns: number): WebGLBuffer {\n    this.bindTextureToFrameBuffer(texture);\n    const result = gpgpu_util.createBufferFromOutputTexture(\n        this.gl as WebGL2RenderingContext, this.debug, rows, columns,\n        this.textureConfig);\n    this.unbindTextureToFrameBuffer();\n    return result;\n  }\n\n  public createAndWaitForFence(): Promise<void> {\n    const fenceContext = this.createFence(this.gl);\n    return this.pollFence(fenceContext);\n  }\n\n  private createFence(gl: WebGLRenderingContext): FenceContext {\n    let query: WebGLQuery|WebGLSync;\n    let isFencePassed: () => boolean;\n\n    if (env().getBool('WEBGL_FENCE_API_ENABLED')) {\n      const gl2 = gl as WebGL2RenderingContext;\n\n      const sync = gl2.fenceSync(gl2.SYNC_GPU_COMMANDS_COMPLETE, 0);\n      gl.flush();\n\n      isFencePassed = () => {\n        const status = gl2.clientWaitSync(sync, 0, 0);\n        return status === gl2.ALREADY_SIGNALED ||\n            status === gl2.CONDITION_SATISFIED;\n      };\n\n      query = sync;\n    } else if (\n        env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0) {\n      query = this.beginQuery();\n      this.endQuery();\n      isFencePassed = () => this.isQueryAvailable(\n          query,\n          env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n    } else {\n      // If we have no way to fence, return true immediately. This will fire in\n      // WebGL 1.0 when there is no disjoint query timer. In this case, because\n      // the fence passes immediately, we'll immediately ask for a download of\n      // the texture, which will cause the UI thread to hang.\n      isFencePassed = () => true;\n    }\n\n    return {query, isFencePassed};\n  }\n\n  public downloadMatrixFromPackedTexture(\n      texture: WebGLTexture, physicalRows: number,\n      physicalCols: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadMatrixFromPackedOutputTexture(\n            this.gl, this.debug, physicalRows, physicalCols));\n  }\n\n  private vertexAttrsAreBound = false;\n\n  public createProgram(fragmentShaderSource: string): WebGLProgram {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    const fragmentShader: WebGLShader =\n        webgl_util.createFragmentShader(gl, this.debug, fragmentShaderSource);\n    const vertexShader: WebGLShader =\n        gpgpu_util.createVertexShader(gl, this.debug);\n    const program: WebGLProgram = webgl_util.createProgram(\n        gl,\n        this.debug,\n    );\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, vertexShader));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, fragmentShader));\n    webgl_util.linkProgram(gl, this.debug, program);\n    if (this.debug) {\n      webgl_util.validateProgram(gl, this.debug, program);\n    }\n    if (!this.vertexAttrsAreBound) {\n      this.setProgram(program);\n      this.vertexAttrsAreBound = gpgpu_util.bindVertexProgramAttributeStreams(\n          gl, this.debug, this.program, this.vertexBuffer);\n    }\n    return program;\n  }\n\n  public deleteProgram(program: WebGLProgram) {\n    this.throwIfDisposed();\n    if (program === this.program) {\n      this.program = null;\n    }\n    if (program != null) {\n      webgl_util.callAndCheck(\n          this.gl, this.debug, () => this.gl.deleteProgram(program));\n    }\n  }\n\n  public setProgram(program: WebGLProgram|null) {\n    this.throwIfDisposed();\n    this.program = program;\n    if ((this.program != null) && this.debug) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.useProgram(program));\n  }\n\n  public getUniformLocation(\n      program: WebGLProgram, uniformName: string,\n      shouldThrow = true): WebGLUniformLocation {\n    this.throwIfDisposed();\n    if (shouldThrow) {\n      return webgl_util.getProgramUniformLocationOrThrow(\n          this.gl, this.debug, program, uniformName);\n    } else {\n      return webgl_util.getProgramUniformLocation(\n          this.gl, program, uniformName);\n    }\n  }\n\n  public getAttributeLocation(program: WebGLProgram, attribute: string):\n      number {\n    this.throwIfDisposed();\n    return webgl_util.callAndCheck(\n        this.gl, this.debug,\n        () => this.gl.getAttribLocation(program, attribute));\n  }\n\n  public getUniformLocationNoThrow(program: WebGLProgram, uniformName: string):\n      WebGLUniformLocation {\n    this.throwIfDisposed();\n    return this.gl.getUniformLocation(program, uniformName);\n  }\n\n  public setInputMatrixTexture(\n      inputMatrixTexture: WebGLTexture, uniformLocation: WebGLUniformLocation,\n      textureUnit: number) {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    webgl_util.bindTextureToProgramUniformSampler(\n        this.gl, this.debug, this.program, inputMatrixTexture, uniformLocation,\n        textureUnit);\n  }\n\n  public setOutputMatrixTexture(\n      outputMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.setOutputMatrixTextureDriver(outputMatrixTexture, columns, rows);\n  }\n\n  public setOutputPackedMatrixTexture(\n      outputPackedMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.throwIfDisposed();\n    const [width, height] =\n        tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n    this.setOutputMatrixTextureDriver(outputPackedMatrixTexture, width, height);\n  }\n\n  public setOutputMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    this.setOutputMatrixWriteRegionDriver(\n        startColumn, startRow, numColumns, numRows);\n  }\n\n  public setOutputPackedMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    throw new Error('setOutputPackedMatrixWriteRegion not implemented.');\n  }\n\n  public debugValidate() {\n    if (this.program != null) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.validateFramebuffer(this.gl);\n  }\n\n  public executeProgram() {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    const gl = this.gl;\n    if (this.debug) {\n      this.debugValidate();\n    }\n    webgl_util.callAndCheck(\n        gl, this.debug,\n        () => gl.drawElements(gl.TRIANGLES, 6, gl.UNSIGNED_SHORT, 0));\n  }\n\n  public blockUntilAllProgramsCompleted() {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(this.gl, this.debug, () => this.gl.finish());\n  }\n\n  private getQueryTimerExtension(): WebGL1DisjointQueryTimerExtension\n      |WebGL2DisjointQueryTimerExtension {\n    if (this.disjointQueryTimerExtension == null) {\n      this.disjointQueryTimerExtension =\n          webgl_util.getExtensionOrThrow(\n              this.gl, this.debug,\n              env().getNumber(\n                  'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2 ?\n                  'EXT_disjoint_timer_query_webgl2' :\n                  'EXT_disjoint_timer_query') as\n              WebGL1DisjointQueryTimerExtension |\n          WebGL2DisjointQueryTimerExtension;\n    }\n    return this.disjointQueryTimerExtension;\n  }\n\n  private getQueryTimerExtensionWebGL2(): WebGL2DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension();\n  }\n\n  private getQueryTimerExtensionWebGL1(): WebGL1DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension() as WebGL1DisjointQueryTimerExtension;\n  }\n\n  beginQuery(): WebGLQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const query = gl2.createQuery();\n      gl2.beginQuery(ext.TIME_ELAPSED_EXT, query);\n      return query;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    const query = ext.createQueryEXT() as WebGLQuery;\n    ext.beginQueryEXT(ext.TIME_ELAPSED_EXT, query);\n    return query;\n  }\n\n  endQuery() {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n      gl2.endQuery(ext.TIME_ELAPSED_EXT);\n      return;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    ext.endQueryEXT(ext.TIME_ELAPSED_EXT);\n  }\n\n  public async waitForQueryAndGetTime(query: WebGLQuery): Promise<number> {\n    await util.repeatedTry(\n        () => this.disposed ||  // while testing contexts are created / disposed\n                                // in rapid succession, so without this check we\n                                // may poll for the query timer indefinitely\n            this.isQueryAvailable(\n                query,\n                env().getNumber(\n                    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION')));\n    return this.getQueryTime(\n        query, env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n  }\n\n  private getQueryTime(query: WebGLQuery, queryTimerVersion: number): number {\n    if (queryTimerVersion === 0) {\n      return null;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n\n      const timeElapsedNanos = gl2.getQueryParameter(query, gl2.QUERY_RESULT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const timeElapsedNanos =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_EXT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    }\n  }\n\n  private isQueryAvailable(query: WebGLQuery, queryTimerVersion: number):\n      boolean {\n    if (queryTimerVersion === 0) {\n      return true;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const available =\n          gl2.getQueryParameter(query, gl2.QUERY_RESULT_AVAILABLE);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const available =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_AVAILABLE_EXT);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    }\n  }\n\n  pollFence(fenceContext: FenceContext) {\n    return new Promise<void>(resolve => {\n      this.addItemToPoll(() => fenceContext.isFencePassed(), () => resolve());\n    });\n  }\n\n  private itemsToPoll: PollItem[] = [];\n\n  pollItems(): void {\n    // Find the last query that has finished.\n    const index = linearSearchLastTrue(this.itemsToPoll.map(x => x.isDoneFn));\n    for (let i = 0; i <= index; ++i) {\n      const {resolveFn} = this.itemsToPoll[i];\n      resolveFn();\n    }\n    this.itemsToPoll = this.itemsToPoll.slice(index + 1);\n  }\n\n  private addItemToPoll(isDoneFn: () => boolean, resolveFn: () => void) {\n    this.itemsToPoll.push({isDoneFn, resolveFn});\n    if (this.itemsToPoll.length > 1) {\n      // We already have a running loop that polls.\n      return;\n    }\n    // Start a new loop that polls.\n    util.repeatedTry(() => {\n      this.pollItems();\n      // End the loop if no more items to poll.\n      return this.itemsToPoll.length === 0;\n    });\n  }\n\n  private bindTextureToFrameBuffer(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    webgl_util.bindColorTextureToFramebuffer(\n        this.gl, this.debug, texture, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(this.gl);\n    }\n  }\n\n  private unbindTextureToFrameBuffer() {\n    if (this.outputTexture != null) {\n      webgl_util.bindColorTextureToFramebuffer(\n          this.gl, this.debug, this.outputTexture, this.framebuffer);\n      if (this.debug) {\n        webgl_util.validateFramebuffer(this.gl);\n      }\n    } else {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n    }\n  }\n\n  private downloadMatrixDriver(\n      texture: WebGLTexture,\n      downloadAndDecode: () => Float32Array): Float32Array {\n    this.bindTextureToFrameBuffer(texture);\n    const result = downloadAndDecode();\n    this.unbindTextureToFrameBuffer();\n\n    return result;\n  }\n\n  private setOutputMatrixTextureDriver(\n      outputMatrixTextureMaybePacked: WebGLTexture, width: number,\n      height: number) {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    webgl_util.bindColorTextureToFramebuffer(\n        gl, this.debug, outputMatrixTextureMaybePacked, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(gl);\n    }\n    this.outputTexture = outputMatrixTextureMaybePacked;\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.viewport(0, 0, width, height));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.scissor(0, 0, width, height));\n  }\n\n  private setOutputMatrixWriteRegionDriver(\n      x: number, y: number, width: number, height: number) {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.scissor(x, y, width, height));\n  }\n\n  private throwIfDisposed() {\n    if (this.disposed) {\n      throw new Error('Attempted to use disposed GPGPUContext.');\n    }\n  }\n\n  private throwIfNoProgram() {\n    if (this.program == null) {\n      throw new Error('No GPU program is currently set.');\n    }\n  }\n}\n\ntype PollItem = {\n  isDoneFn: () => boolean,\n  resolveFn: () => void\n};\n\n/**\n * Finds the index of the last true element using linear search.\n * Note: We can't do binary search because Chrome expects us to explicitly\n * test all fences before download:\n * https://github.com/tensorflow/tfjs/issues/1145\n */\nexport function linearSearchLastTrue(arr: Array<() => boolean>): number {\n  let i = 0;\n  for (; i < arr.length; ++i) {\n    const isDone = arr[i]();\n    if (!isDone) {\n      break;\n    }\n  }\n  return i - 1;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\nimport {Tensor} from '../../tensor';\nimport {TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport * as shader_compiler from './shader_compiler';\nimport {InputInfo, ShapeInfo} from './shader_compiler';\nimport {PackingScheme, TextureData, TextureUsage} from './tex_util';\n\nexport interface GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  /** If true, this program expects packed input textures. Defaults to false. */\n  packedInputs?: boolean;\n  /** If true, this program produces a packed texture. Defaults to false. */\n  packedOutput?: boolean;\n  /**\n   * Affects what type of texture we allocate for the output. Defaults to\n   * `TextureUsage.RENDER`.\n   */\n  outTexUsage?: TextureUsage;\n  /**\n   * The type of scheme to use when packing texels for the output values.\n   * See `PackingScheme` for details. Defaults to `PackingScheme.SHARED_BATCH`.\n   */\n  outPackingScheme?: PackingScheme;\n}\n\nexport interface GPGPUBinary {\n  webGLProgram: WebGLProgram;\n  program: GPGPUProgram;\n  uniformLocations: {[name: string]: WebGLUniformLocation};\n  source: string;\n  inShapeInfos: ShapeInfo[];\n  outShapeInfo: ShapeInfo;\n  infLoc: WebGLUniformLocation;\n  nanLoc: WebGLUniformLocation;\n}\n\nexport interface TensorData {\n  shape: number[];\n  texData: TextureData;\n  isUniform: boolean;\n  // Available when we decide to upload as uniform instead of texture.\n  uniformValues?: TypedArray;\n}\n\nexport function compileProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, program: GPGPUProgram, inputs: TensorData[],\n    output: TensorData): GPGPUBinary {\n  const userCode = program.userCode;\n  const inputInfos: InputInfo[] = inputs.map((input, i) => {\n    const shapeInfo: ShapeInfo = {\n      logicalShape: input.shape,\n      texShape: input.isUniform ? null : input.texData.texShape,\n      isUniform: input.isUniform,\n      isPacked: input.isUniform ? false : input.texData.isPacked,\n      flatOffset: null\n    };\n    if (input.texData != null && input.texData.slice != null &&\n        input.texData.slice.flatOffset > 0) {\n      shapeInfo.flatOffset = input.texData.slice.flatOffset;\n    }\n    return {name: program.variableNames[i], shapeInfo};\n  });\n  const inShapeInfos = inputInfos.map(x => x.shapeInfo);\n  const outShapeInfo: ShapeInfo = {\n    logicalShape: output.shape,\n    texShape: output.texData.texShape,\n    isUniform: false,\n    isPacked: output.texData.isPacked,\n    flatOffset: null\n  };\n  const source = shader_compiler.makeShader(\n      inputInfos, outShapeInfo, userCode, program.packedInputs);\n\n  const webGLProgram = gpgpu.createProgram(source);\n\n  // Add special uniforms (NAN, INFINITY)\n  let infLoc: WebGLUniformLocation = null;\n  const nanLoc = gpgpu.getUniformLocation(webGLProgram, 'NAN', false);\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    infLoc = gpgpu.getUniformLocation(webGLProgram, 'INFINITY', false);\n  }\n\n  // Add user-defined uniforms\n  const uniformLocations: {[name: string]: WebGLUniformLocation} = {};\n  for (let i = 0; i < program.variableNames.length; i++) {\n    const varName = program.variableNames[i];\n    const shouldThrow = false;\n    uniformLocations[varName] =\n        gpgpu.getUniformLocation(webGLProgram, varName, shouldThrow);\n    uniformLocations[`offset${varName}`] =\n        gpgpu.getUniformLocation(webGLProgram, `offset${varName}`, shouldThrow);\n  }\n\n  return {\n    program,\n    source,\n    webGLProgram,\n    uniformLocations,\n    inShapeInfos,\n    outShapeInfo,\n    infLoc,\n    nanLoc,\n  };\n}\n\nfunction validateBinaryAndProgram(\n    shapeInfos: ShapeInfo[], inputs: TensorData[]) {\n  if (shapeInfos.length !== inputs.length) {\n    throw Error(\n        `Binary was compiled with ${shapeInfos.length} inputs, but ` +\n        `was executed with ${inputs.length} inputs`);\n  }\n\n  shapeInfos.forEach((s, i) => {\n    const shapeA = s.logicalShape;\n    const input = inputs[i];\n    const shapeB = input.shape;\n\n    if (!util.arraysEqual(shapeA, shapeB)) {\n      throw Error(\n          `Binary was compiled with different shapes than ` +\n          `the current args. Shapes ${shapeA} and ${shapeB} must match`);\n    }\n    // The input is uploaded as uniform.\n    if (s.isUniform && input.isUniform) {\n      return;\n    }\n\n    const texShapeA = s.texShape;\n    const texShapeB = input.isUniform ? null : input.texData.texShape;\n    if (!util.arraysEqual(texShapeA, texShapeB)) {\n      throw Error(\n          `Binary was compiled with different texture shapes than the` +\n          ` current args. Shape ${texShapeA} and ${texShapeB} must match`);\n    }\n  });\n}\n\nexport function runProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, binary: GPGPUBinary, inputs: TensorData[],\n    output: TensorData,\n    customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) =>\n        void): void {\n  validateBinaryAndProgram(binary.inShapeInfos, inputs);\n  validateBinaryAndProgram([binary.outShapeInfo], [output]);\n\n  const outTex = output.texData.texture;\n  const outTexShape = output.texData.texShape;\n  if (output.texData.isPacked) {\n    gpgpu.setOutputPackedMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  } else {\n    gpgpu.setOutputMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  }\n  gpgpu.setProgram(binary.webGLProgram);\n\n  // Set special uniforms (NAN, INFINITY)\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    if (binary.infLoc !== null) {\n      gpgpu.gl.uniform1f(binary.infLoc, Infinity);\n    }\n  }\n  if (binary.nanLoc !== null) {\n    gpgpu.gl.uniform1f(binary.nanLoc, NaN);\n  }\n\n  // Set user-defined inputs\n  inputs.forEach((input, i) => {\n    const varName = binary.program.variableNames[i];\n    const varLoc = binary.uniformLocations[varName];\n    const varOffsetLoc = binary.uniformLocations[`offset${varName}`];\n\n    if (varLoc == null) {\n      // The compiler inferred that this variable is not used in this shader.\n      return;\n    }\n\n    if (input.isUniform) {\n      // Upload the values of the tensor as uniform.\n      if (util.sizeFromShape(input.shape) < 2) {\n        gpgpu.gl.uniform1f(varLoc, input.uniformValues[0]);\n      } else {\n        let vals = input.uniformValues;\n        if (!(vals instanceof Float32Array)) {\n          vals = new Float32Array(vals);\n        }\n        gpgpu.gl.uniform1fv(varLoc, vals);\n      }\n      return;\n    }\n\n    // If the input was sliced, upload the flat offset index.\n    if (input.texData.slice != null && varOffsetLoc != null) {\n      gpgpu.gl.uniform1i(varOffsetLoc, input.texData.slice.flatOffset);\n    }\n\n    gpgpu.setInputMatrixTexture(input.texData.texture, varLoc, i);\n  });\n\n  if (customSetup != null) {\n    customSetup(gpgpu, binary.webGLProgram);\n  }\n  gpgpu.executeProgram();\n}\n\nexport function makeShaderKey(\n    program: GPGPUProgram, inputs: TensorData[], output: TensorData): string {\n  let keyInputs = '';\n  inputs.concat(output).forEach(x => {\n    const hasOffset = x.texData != null && x.texData.slice != null &&\n        x.texData.slice.flatOffset > 0;\n    const texShape = x.isUniform ? 'uniform' : x.texData.texShape;\n    keyInputs += `${x.shape}_${texShape}_${hasOffset}`;\n  });\n  const keyUserCode = program.userCode;\n  let key = program.constructor.name;\n  // Fast string concat. See https://jsperf.com/string-concatenation/14.\n  key += '_' + keyInputs + '_' + keyUserCode;\n  return key;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Im2ColPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      outputShape: number[], inputShape: number[], convInfo: Conv2DInfo) {\n    this.outputShape = outputShape;\n\n    const {\n      filterWidth,\n      inChannels,\n      strideWidth,\n      strideHeight,\n      padInfo,\n      outWidth,\n      dilationWidth,\n      dilationHeight,\n      dataFormat\n    } = convInfo;\n    const {left, top} = padInfo;\n    const itemsPerBlockRow = inChannels * filterWidth;\n    const glsl = getGlslDifferences();\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const rowDim = isChannelsLast ? 0 : 1;\n    const colDim = isChannelsLast ? 1 : 2;\n\n    let unrolled = ``;\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        unrolled += `\n          blockIndex = rc.y + ${col};\n          pos = rc.x + ${row};\n\n          if(blockIndex < ${outputShape[1]} && pos < ${outputShape[0]}) {\n            offsetY = int(blockIndex / (${outWidth})) * ${strideHeight} - ${\n            top};\n            d0 = offsetY + ${dilationHeight} * (pos / ${itemsPerBlockRow});\n\n            if(d0 < ${inputShape[rowDim]} && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), ${outWidth}.) * ${\n            strideWidth}. - ${left}.);\n              d1 = offsetX + ${dilationWidth} * (int(mod(float(pos), ${\n            itemsPerBlockRow}.) / ${inChannels}.));\n\n              if(d1 < ${inputShape[colDim]} && d1 >= 0) {\n\n                ch = int(mod(float(pos), ${inChannels}.));\n\n                if (${isChannelsLast}) {\n                  innerDims = vec2(d1, ch);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ${unrolled}\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -${rad}; j <= ${rad}; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ${maxD}) {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ${powOperator};\n        setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNGradProgram implements GPGPUProgram {\n  variableNames = ['inputImage', 'outputImage', 'dy'];\n  outputShape: number[] = [];\n  userCode: string;\n  depthRadius: number;\n  bias: number;\n  alpha: number;\n  beta: number;\n  depth: number;\n\n  constructor(\n      inputShape: number[], depthRadius: number, bias: number, alpha: number,\n      beta: number) {\n    this.outputShape = inputShape;\n    this.depth = inputShape[3];\n    this.depthRadius = depthRadius;\n    this.bias = bias;\n    this.alpha = alpha;\n    this.beta = beta;\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < ${this.depth}; ++d) {\n          int depthBegin = int(max(0.0, float(d - ${depthRadius})));\n          int depthEnd = int(min(float(${this.depth}),\n              float(d + ${depthRadius} + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ${this.depth};\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(${alpha}) * norm + float(${bias});\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(${alpha})\n                * float(${beta})\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ${beta});\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ${this.outputShape[3]};\n        bool hasNextRow = c < ${this.outputShape[2]};\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - ${rad};\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - ${rad}; j <= ${rad}; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${maxD}));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * ${powOperator};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MaxPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex = effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n          wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ${lastIndex} - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ${effectiveFilterWidth} + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class MaxPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex =\n        effectiveFilterDepth * effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n           wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ${lastIndex} -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                  wR * ${effectiveFilterWidth} + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MatMulPackedProgram implements GPGPUProgram {\n  variableNames = ['matrixA', 'matrixB'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      aShape: [number, number, number], outputShape: [number, number, number],\n      transposeA = false, transposeB = false, addBias = false,\n      activation: string = null, hasPreluActivation = false) {\n    this.outputShape = outputShape;\n\n    const sharedDim = transposeA ? aShape[1] : aShape[2];\n    const sharedDimensionPacked = Math.ceil(sharedDim / 2);\n\n    const aSample = transposeA ? 'i * 2, rc.y' : 'rc.y, i * 2';\n    const bSample = transposeB ? 'rc.z, i * 2' : 'i * 2, rc.z';\n    const aSwizzle = transposeA ? ['a.xxyy', 'a.zzww'] : ['a.xxzz', 'a.yyww'];\n    const bSwizzle = transposeB ? ['b.xzxz', 'b.ywyw'] : ['b.xyxy', 'b.zwzw'];\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const float sharedDimension = ${sharedDimensionPacked}.0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < ${sharedDimensionPacked}; i++) {\n          vec4 a = getMatrixA(rc.x, ${aSample});\n          vec4 b = getMatrixB(rc.x, ${bSample});\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += (${aSwizzle[0]} * ${bSwizzle[0]});\n          result += (${aSwizzle[1]} * ${bSwizzle[1]});\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        ${addBiasSnippet}\n\n        ${applyActivationSnippet}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MultinomialProgram implements GPGPUProgram {\n  variableNames = ['probs'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(batchSize: number, numOutcomes: number, numSamples: number) {\n    this.outputShape = [batchSize, numSamples];\n\n    this.userCode = `\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < ${numOutcomes - 1}; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float(${numOutcomes - 1}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(seed: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.seedLoc == null) {\n        this.seedLoc = gpgpu.getUniformLocation(webGLProgram, 'seed');\n      }\n      gpgpu.gl.uniform1f(this.seedLoc, seed);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class OneHotProgram implements GPGPUProgram {\n  variableNames = ['indices'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(\n      numIndices: number, depth: number, onValue: number, offValue: number) {\n    this.outputShape = [numIndices, depth];\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(${offValue}), float(${onValue}),\n                      float(index == coords.y)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape:\n          number[]) {  // TODO(https://github.com/tensorflow/tfjs/issues/893):\n                       // Only input / output 3D tensors.\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    if (rank === 0) {\n      this.userCode = `\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      `;\n    } else {\n      const channels = getChannels('rc', rank);\n      const dtype = getCoordsDataType(rank);\n      const outOfBoundsCondition =\n          getOutOfBoundsCondition(rank, outputShape, channels);\n      const setup = getSetup(\n          rank, outputShape[outputShape.length - 1],\n          outputShape[outputShape.length - 2], channels);\n      const output = getOutput(outputShape, channels);\n\n      this.userCode = `\n        void main() {\n          ${dtype} rc = getOutputCoords();\n\n          if(${outOfBoundsCondition}) {\n            setOutput(vec4(0));\n          } else {\n            ${setup}\n\n            setOutput(vec4(${output}));\n          }\n        }\n      `;\n    }\n  }\n}\n\nfunction getSourceCoordsArr(rank: number, dims: string[]): string[] {\n  const coords = [];\n\n  for (let row = 0; row <= 1; row++) {\n    for (let col = 0; col <= 1; col++) {\n      let coord = `${row === 0 ? 'r' : 'rp1'}, ${col === 0 ? 'c' : 'cp1'}`;\n\n      for (let d = 2; d < rank; d++) {\n        coord = `${dims[dims.length - 1 - d]},` + coord;\n      }\n\n      coords.push(coord);\n    }\n  }\n  return coords;\n}\n\nfunction getOutOfBoundsCondition(\n    rank: number, shape: number[], dims: string[]): string {\n  if (rank === 1) {\n    return `rc > ${shape[0]}`;\n  }\n\n  let cond = '';\n  for (let i = rank - 2; i < rank; i++) {\n    cond += `${dims[i]} >= ${shape[i]}`;\n    if (i < rank - 1) {\n      cond += '||';\n    }\n  }\n\n  return cond;\n}\n\nfunction getSetup(\n    rank: number, cols: number, rows: number, dims: string[]): string {\n  if (rank === 1) {\n    return '';\n  }\n\n  const innerDims = dims.slice(-2);\n\n  return `\n    int r = ${innerDims[0]};\n    int c = ${innerDims[1]};\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= ${cols};\n    bool rEdge = rp1 >= ${rows};\n  `;\n}\n\nfunction getOutput(shape: number[], dims: string[]): string {\n  const rank = shape.length;\n  const sourceCoords = getSourceCoordsArr(rank, dims);\n  if (rank === 1) {\n    return `getA(rc),\n            rc + 1 >= ${shape[0]} ? 0. : getA(rc + 1),\n            0, 0`;\n  }\n\n  return `getA(${sourceCoords[0]}),\n          cEdge ? 0. : getA(${sourceCoords[1]}),\n          rEdge ? 0. : getA(${sourceCoords[2]}),\n          rEdge || cEdge ? 0. : getA(${sourceCoords[3]})`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const type = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const unpackedCoords =\n        ['coords[0]', 'coords[1]', 'coords[2]', 'coords[3]'].slice(0, rank);\n\n    if (rank === 1) {\n      this.userCode = `\n        int start = ${start};\n        int end = ${end};\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float(${constantValue}));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      `;\n      return;\n    }\n    this.userCode = `\n      ${type} start = ${type}(${start});\n      ${type} end = ${type}(${end});\n\n      void main() {\n        ${type} outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float(${constantValue}));\n        } else {\n          ${type} coords = outC - start;\n          setOutput(getX(${unpackedCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const dtype = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const coords = getChannels('rc', rank);\n    const source = getChannels('source', rank);\n    const cLimit = `${coords[rank - 1]} < ${this.outputShape[rank - 1]}`;\n    const innerDims =\n        rank === 1 ? 'source' : `vec2(${source.slice(-2).join()})`;\n\n    const componentSetup = [\n      `${dtype} rc = outputLoc;`, `${coords[rank - 1]} += 1;\n       if(${cLimit}) {\n      `,\n      rank === 1 ? '' : `}\n       rc = outputLoc;\n       ${coords[rank - 2]} += 1;\n       if(${coords[rank - 2]} < ${this.outputShape[rank - 2]}) {`,\n      rank === 1 ? '' : `  ${coords[rank - 1]} += 1;\n         if(${cLimit}) {`\n    ];\n\n    const paddingArea = rank === 1 ?\n        'rc < start || rc >= end' :\n        'any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))';\n    let mainLoop = '';\n    for (let i = 0, j = rank === 1 ? 2 : 4; i < j; i++) {\n      mainLoop += `\n        ${componentSetup[i]}\n        if (${paddingArea}) {\n          result[${i}] = float(${constantValue});\n        } else {\n          ${dtype} source = rc - start;\n          result[${i}] = getChannel(getX(${source.join()}), ${innerDims});\n        }\n      `;\n    }\n    mainLoop += (rank === 1 ? `} ` : `}}`);\n\n    this.userCode = `\n      const ${dtype} start = ${dtype}(${start});\n      const ${dtype} end = ${dtype}(${end});\n\n      void main() {\n        ${dtype} outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ${mainLoop}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Pool2DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, poolType: 'max'|'avg', computePositions: boolean,\n      flattenPositions = false, includeBatchInIndex = false) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n    const batchFlattenPositionStr = `((batch  * ${convInfo.inHeight} + xR) * ${\n        convInfo.inWidth} + xC) * ${convInfo.inChannels} + d`;\n    const flattenPositionStr =\n        `(xR * ${convInfo.inWidth} + xC) * ${convInfo.inChannels} + d`;\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n        const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ${compareOp} currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ${\n          flattenPositions ? (includeBatchInIndex ? batchFlattenPositionStr :\n                                                    flattenPositionStr) :\n                             `wR * ${effectiveFilterWidth} + wC`};\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              getValue(batch, xR, xC + 3 * ${dilationWidth}, d)\n            );\n\n            ${updateSnippet}\n          }\n\n          int xC = xCCorner + ${filterWidthNearestVec4};\n          if (${filterWidthVec4Remainder === 1}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 2}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 3}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              initializationValue\n            );\n\n            ${updateSnippet}\n          }\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n\nexport class Pool3DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv3DInfo, poolType: 'max'|'avg', computePositions: boolean,\n      flattenPositions = false, includeBatchInIndex = false) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec3 strides =\n            ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n        const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ${effectiveFilterDepth};\n              wD += ${dilationDepth}) {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int wR = 0; wR < ${effectiveFilterHeight};\n                wR += ${dilationHeight}) {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int wC = 0; wC < ${effectiveFilterWidth};\n                  wC += ${dilationWidth}) {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ${compareOp} currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ${\n          flattenPositions ?\n              (includeBatchInIndex ?\n                   `(((batch * ${convInfo.inDepth} + xD) * ${\n                       convInfo.inHeight} + xR) * ${convInfo.inWidth} + xC) * ${\n                       convInfo.inChannels} + ch` :\n                   `((xD * ${convInfo.inHeight} + xR) * ${\n                       convInfo.inWidth} + xC) * ${convInfo.inChannels} + ch`) :\n              `wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                      wR * ${effectiveFilterWidth} + wC`};\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec3 strides =\n        ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 3 * ${dilationWidth}, ch)\n              );\n\n              ${updateSnippet}\n            }\n\n            int xC = xCCorner + ${filterWidthNearestVec4};\n            if (${filterWidthVec4Remainder === 1}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 2}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 3}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                initializationValue\n              );\n\n              ${updateSnippet}\n            }\n          }\n          setOutput(${returnValue});\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ReduceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      reduceInfo: ReduceInfo,\n      reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod') {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    let initializationValue = '0.0';\n    let compareOp = ``;\n\n    if (reduceType === 'prod') {\n      initializationValue = '1.0';\n    } else if (reduceType === 'min') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '1.0 / 1e-20';\n      compareOp = `min`;\n    } else if (reduceType === 'max') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n      compareOp = `max`;\n    }\n\n    let returnValue = `${reduceType}(${reduceType}(${reduceType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n\n    if (reduceType === 'sum') {\n      returnValue = `sumValue`;\n    } else if (reduceType === 'prod') {\n      returnValue = `prodValue`;\n    } else if (reduceType === 'all') {\n      returnValue = `allValue`;\n    } else if (reduceType === 'any') {\n      returnValue = `anyValue`;\n    }\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    let updateSnippet = `\n      if (${reduceType === 'sum'}) {\n        sumValue += dot(values, ones);\n      } else if (${reduceType === 'prod'}) {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    let vecType = `vec4`;\n\n    if (reduceType === 'all') {\n      initializationValue = '1.0';\n      updateSnippet = `\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    } else if (reduceType === 'any') {\n      initializationValue = '0.0';\n      updateSnippet = `\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    }\n\n    let checkOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ${checkOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        vec4 minMaxValue = vec4(${initializationValue});\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class ReshapePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: [number, number, number], inputShape: [\n    number, number, number\n  ]) {\n    this.outputShape = outputShape;\n\n    let mainLoop = ``;\n    for (let i = 0; i < 4; i++) {\n      let thisRC = `thisRC = rc;`;\n      if (i % 2 === 1) {\n        thisRC += `thisRC.z += 1;`;\n      }\n      if (i > 1) {\n        thisRC += `thisRC.y += 1;`;\n      }\n\n      mainLoop += `\n        ${thisRC}\n        ${i > 0 ? `if(thisRC.y < rows && thisRC.z < cols){` : ''}\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[${i}] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ${i > 0 ? '}' : ''}\n      `;\n    }\n\n    this.userCode = `\n      ${getReshapedInputCoords(inputShape)}\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ${outputShape[1]};\n        int cols = ${outputShape[2]};\n\n        ${mainLoop}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nfunction getReshapedInputCoords(shape: [number, number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ${xHeight - 1}.0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ${xWidth - 1}.0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec3 inputShapeRC = vec3(${oldHeight}.0, ${oldWidth}.0,\n                                     ${oldWidth}.0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ${depth - 1};\n        bool hasNextRow = coords.z < ${newWidth - 1};\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeigborBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(${effectiveXSize[0]}) *\n                (float(dyR) / float(${effectiveYSize[0]}));\n\n            float sourceFracCol =\n                float(${effectiveXSize[1]}) *\n                  (float(dyC) / float(${effectiveYSize[1]}));\n\n            int sourceNearestRow = int(min(\n                float(int(${xHeight}) - 1),\n                ${alignCorners} ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(${xWidth}) - 1),\n                ${alignCorners} ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeighborProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    // When align corners is false, we rounds the value with floor.\n    const roundBase = alignCorners ? '0.5' : '0.0';\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${roundBase})));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReverseProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n\n    if (rank === 1) {\n      this.userCode = `\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(${xShape[0]} - coord - 1));\n        }\n      `;\n      return;\n    }\n    const getInCoord = (i: number) => {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - coords[${i}] - 1`;\n      }\n      return `coords[${i}]`;\n    };\n    const inCoords = xShape.map((_, i) => getInCoord(i)).join(',');\n    const type = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${type} coords = getOutputCoords();\n        setOutput(getX(${inCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReversePackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n    const channels = getChannels('rc', rank);\n    const nextColumn =\n        `${channels[rank - 1]} + 1 < ${this.outputShape[rank - 1]}`;\n    const nextRow = `${channels[rank - 2]} + 1 < ${this.outputShape[rank - 2]}`;\n    const type = getCoordsDataType(rank);\n    if (rank === 1) {\n      this.userCode = `\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(${xShape[0]} - rc - 1),\n            ${xShape[0]} - rc - 1);\n          if(${nextColumn}){\n              result.g = getChannel(getX(${xShape[0]} - (rc  + 1) - 1),\n                ${xShape[0]} - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      `;\n    } else {\n      this.userCode = `\n        void main() {\n          ${type} rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ${getR(channels.slice())};\n          if(${nextColumn}){\n            result.g = ${getG(channels.slice())};\n          }\n          if(${nextRow}) {\n            result.b = ${getB(channels.slice())};\n            if(${nextColumn}) {\n              result.a = ${getA(channels.slice())};\n            }\n          }\n          setOutput(result);\n        }\n    `;\n    }\n\n    function getR(channels: string[]): string {\n      return getChannel(channels);\n    }\n\n    function getG(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getB(channels: string[]): string {\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getA(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getChannel(channels: string[]): string {\n      const inCoordsArray = xShape.map((_, i) => getInCoord(i, channels));\n      const inCoords = inCoordsArray.join(',');\n      const innerDims = inCoordsArray.slice(-2).join(',');\n      return `getChannel(getX(${inCoords}), vec2(${innerDims}))`;\n    }\n\n    function getInCoord(i: number, channels1: string[]): string {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - ${channels1[i]} - 1`;\n      } else {\n        return `${channels1[i]}`;\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ScatterProgram implements GPGPUProgram {\n  variableNames = ['updates', 'indices', 'defaultValue'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      updateSize: number, sliceDim: number, indicesRank: number,\n      updatesRank: number, strides: number[], shape: number[],\n      summingDupeIndex = true) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    let indicesString = '';\n    if (indicesRank === 1) {\n      indicesString = 'i';\n    } else if (indicesRank === 2) {\n      indicesString = 'i, j';\n    }\n    const indicesSnippet = `getIndices(${indicesString})`;\n\n    let updatesString = '';\n    if (updatesRank === 1) {\n      updatesString = 'i';\n    } else if (updatesRank === 2) {\n      updatesString = 'i, coords[1]';\n    }\n    const updatesSnippet = `getUpdates(${updatesString})`;\n\n    const strideString = sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${strides});\n\n        void main() {\n          ${dtype} coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ${updateSize}; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < ${sliceDim}; j++) {\n              int index = round(${indicesSnippet});\n              flattenedIndex += index * ${strideString};\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += ${updatesSnippet};\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SegOpInfo} from '../../ops/segment_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class SegmentOpProgram implements GPGPUProgram {\n  variableNames = ['x', 'segmentIds'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(segOpInfo: SegOpInfo, segOpType: 'unsortedSegmentSum') {\n    const windowSize = segOpInfo.windowSize;\n    const batchSize = segOpInfo.batchSize;\n    const inSize = segOpInfo.inSize;\n    const numSegments = segOpInfo.numSegments;\n    const outSize = numSegments * Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    const initializationValue = '0.0';\n    const returnValue = `sumValue`;\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    const updateSnippet = `\n        sumValue += dot(values, segFilter);\n    `;\n\n    let checkValueOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkValueOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n\n    let checkSegmentIdOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkSegmentIdOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return -1.0;\n        }\n      `;\n    }\n\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n\n      float getValue(int batch, int inIdx) {\n        ${checkValueOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ${checkSegmentIdOutOfBounds}\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ${numSegments})) * float(${windowSize}));\n        int currentSeg = int(mod(float(outIdx), float(${numSegments})));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SelectProgram implements GPGPUProgram {\n  variableNames = ['c', 'a', 'b'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(cRank: number, shape: number[], rank: number) {\n    this.outputShape = shape;\n\n    let cCoords;\n    let abCoords;\n    if (rank > 4) {\n      throw Error(`Where for rank ${rank} is not yet supported`);\n    }\n\n    if (rank === 1) {\n      abCoords = `resRC`;\n      cCoords = `resRC`;\n    } else {\n      const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n      const cCoordVars = [];\n      const abCoordVars = [];\n      for (let i = 0; i < shape.length; i++) {\n        abCoordVars.push(`${currentCoords[i]}`);\n        if (i < cRank) {\n          cCoordVars.push(`${currentCoords[i]}`);\n        }\n      }\n      cCoords = cCoordVars.join();\n      abCoords = abCoordVars.join();\n    }\n\n    const dtype = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        float cVal = getC(${cCoords});\n        if (cVal >= 1.0) {\n          setOutput(getA(${abCoords}));\n        } else {\n          setOutput(getB(${abCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SliceProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const uniformPart = `uniform int start[${this.rank}];`;\n    const sourceCoords = getCoords(this.rank);\n\n    let body: string;\n    const coordSum = destSize.map((_, i) => {\n      return `sourceLoc.${coords[i]} = start[${i}] + coords.${coords[i]};`;\n    });\n    body = `\n        ${dtype} sourceLoc;\n        ${dtype} coords = getOutputCoords();\n        ${coordSum.join('\\n')}\n      `;\n    this.userCode = `\n      ${uniformPart}\n      void main() {\n        ${body}\n        setOutput(getSource(${sourceCoords}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n\nconst coords = ['x', 'y', 'z', 'w', 'u', 'v'];\n\nfunction getCoords(rank: number): string {\n  if (rank === 1) {\n    return 'sourceLoc';\n  } else if (rank <= 6) {\n    return coords.slice(0, rank).map(x => 'sourceLoc.' + x).join(',');\n  } else {\n    throw Error(`Slicing for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SlicePackedProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const coords = getChannels('coords', this.rank);\n    const sourceLoc = getChannels('sourceLoc', this.rank);\n\n    const innerDims =\n        this.rank === 1 ? 'sourceLoc' : `vec2(${sourceLoc.slice(-2).join()})`;\n    const getChannel =\n        `getChannel(getSource(${sourceLoc.join()}), ${innerDims})`;\n    const upperRow = `\n      result.x = ${getChannel};\n      if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n        ++${sourceLoc[this.rank - 1]};\n        result.y = ${getChannel};\n        --${sourceLoc[this.rank - 1]};\n      }\n    `;\n    const lowerRow = this.rank === 1 ? '' : `\n      --${coords[this.rank - 1]};\n      if (++${coords[this.rank - 2]} < ${destSize[this.rank - 2]}) {\n        ++${sourceLoc[this.rank - 2]};\n        result.z = ${getChannel};\n        if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n          ++${sourceLoc[this.rank - 1]};\n          result.w = ${getChannel};\n        }\n      }\n    `;\n\n    const sourceLocSetup = this.rank <= 4 ?\n        `sourceLoc = coords +\n            ${dtype}(${destSize.map((_, i) => `start[${i}]`).join()});` :\n        destSize.map((_, i) => `${sourceLoc[i]} = ${coords[i]} + start[${i}];`)\n            .join('\\n');\n    this.userCode = `\n      uniform int start[${this.rank}];\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        ${dtype} sourceLoc;\n        ${sourceLocSetup}\n        vec4 result = vec4(0.);\n        ${upperRow}\n        ${lowerRow}\n        setOutput(result);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class StridedSliceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      begin: number[], strides: number[], size: number[]) {\n    this.outputShape = size;\n    const rank = size.length;\n    const inputDtype = getCoordsDataType(size.length);\n    const dtype = getCoordsDataType(size.length);\n\n    let newCoords = '';\n    if (rank === 1) {\n      newCoords = 'coords * strides + begin';\n    } else {\n      let outputAxis = 0;\n      newCoords =\n          size.map((_, i) => {\n                outputAxis++;\n                return size.length === 1 ?\n                    `coords * strides[${i}] + begin[${i}]` :\n                    `coords[${outputAxis - 1}] * strides[${i}] + begin[${i}]`;\n              })\n              .join(',');\n    }\n\n    this.userCode = `\n      ${inputDtype} begin = ${inputDtype}(${begin});\n      ${inputDtype} strides = ${inputDtype}(${strides});\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        setOutput(getX(${newCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {PhysicalTextureType, TextureUsage} from './tex_util';\n\nexport class TextureManager {\n  private numUsedTextures = 0;\n  private numFreeTextures = 0;\n  private freeTextures: {[shape: string]: WebGLTexture[]} = {};\n  private logEnabled = false;\n  private usedTextures: {[shape: string]: WebGLTexture[]} = {};\n\n  constructor(private gpgpu: GPGPUContext) {}\n\n  acquireTexture(\n      shapeRC: [number, number], usage: TextureUsage,\n      isPacked: boolean): WebGLTexture {\n    const physicalTexType = getPhysicalFromLogicalTextureType(usage, isPacked);\n\n    const shapeKey = getKeyFromTextureShape(shapeRC, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    if (!(shapeKey in this.usedTextures)) {\n      this.usedTextures[shapeKey] = [];\n    }\n\n    if (this.freeTextures[shapeKey].length > 0) {\n      this.numFreeTextures--;\n      this.numUsedTextures++;\n      this.log();\n      const newTexture = this.freeTextures[shapeKey].shift();\n      this.usedTextures[shapeKey].push(newTexture);\n      return newTexture;\n    }\n    this.numUsedTextures++;\n    this.log();\n\n    let newTexture: WebGLTexture;\n    if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT32) {\n      newTexture = this.gpgpu.createPackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16PackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT32) {\n      newTexture =\n          this.gpgpu.createFloat32MatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16MatrixTexture(shapeRC[0], shapeRC[1]);\n\n    } else if (\n        physicalTexType === PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE) {\n      newTexture =\n          this.gpgpu.createUnsignedBytesMatrixTexture(shapeRC[0], shapeRC[1]);\n    }\n    this.usedTextures[shapeKey].push(newTexture);\n\n    return newTexture;\n  }\n\n  releaseTexture(\n      texture: WebGLTexture, shape: [number, number],\n      logicalTexType: TextureUsage, isPacked: boolean): void {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    const physicalTexType =\n        getPhysicalFromLogicalTextureType(logicalTexType, isPacked);\n    const shapeKey = getKeyFromTextureShape(shape, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    this.freeTextures[shapeKey].push(texture);\n    this.numFreeTextures++;\n    this.numUsedTextures--;\n    const texList = this.usedTextures[shapeKey];\n    const texIndex = texList.indexOf(texture);\n    if (texIndex < 0) {\n      throw new Error(\n          'Cannot release a texture that was never provided by this ' +\n          'texture manager');\n    }\n    texList.splice(texIndex, 1);\n    this.log();\n  }\n\n  private log() {\n    if (!this.logEnabled) {\n      return;\n    }\n    const total = this.numFreeTextures + this.numUsedTextures;\n    console.log(\n        'Free/Used', `${this.numFreeTextures} / ${this.numUsedTextures}`,\n        `(${total})`);\n  }\n\n  getNumUsedTextures(): number {\n    return this.numUsedTextures;\n  }\n\n  getNumFreeTextures(): number {\n    return this.numFreeTextures;\n  }\n\n  dispose() {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    for (const texShape in this.freeTextures) {\n      this.freeTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    for (const texShape in this.usedTextures) {\n      this.usedTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    this.freeTextures = null;\n    this.usedTextures = null;\n    this.numUsedTextures = 0;\n    this.numFreeTextures = 0;\n  }\n}\n\nfunction getPhysicalTextureForRendering(isPacked: boolean):\n    PhysicalTextureType {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED')) {\n    if (isPacked) {\n      return PhysicalTextureType.PACKED_2X2_FLOAT32;\n    }\n    return PhysicalTextureType.UNPACKED_FLOAT32;\n  }\n\n  if (isPacked) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT16;\n  }\n  return PhysicalTextureType.UNPACKED_FLOAT16;\n}\n\nfunction getPhysicalFromLogicalTextureType(\n    logicalTexType: TextureUsage, isPacked: boolean): PhysicalTextureType {\n  if (logicalTexType === TextureUsage.UPLOAD) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT32;\n  } else if (logicalTexType === TextureUsage.RENDER || logicalTexType == null) {\n    return getPhysicalTextureForRendering(isPacked);\n  } else if (\n      logicalTexType === TextureUsage.DOWNLOAD ||\n      logicalTexType === TextureUsage.PIXELS) {\n    return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;\n  }\n  throw new Error(`Unknown logical texture type ${logicalTexType}`);\n}\n\nfunction getKeyFromTextureShape(\n    shapeRowsCol: [number, number], physicalTexType: PhysicalTextureType,\n    isPacked: boolean): string {\n  return `${shapeRowsCol[0]}_${shapeRowsCol[1]}_${physicalTexType}_${isPacked}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TileProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], reps: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[i] * reps[i];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[]): string {\n  const rank = aShape.length;\n  if (rank > 5) {\n    throw Error(`Tile for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `imod(resRC, ${aShape[0]})`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    sourceCoords.push(`imod(${currentCoords[i]}, ${aShape[i]})`);\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const ERF_P = 0.3275911;\nexport const ERF_A1 = 0.254829592;\nexport const ERF_A2 = -0.284496736;\nexport const ERF_A3 = 1.421413741;\nexport const ERF_A4 = -1.453152027;\nexport const ERF_A5 = 1.061405429;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const SELU_SCALEALPHA = 1.7580993408473768599402175208123;\nexport const SELU_SCALE = 1.0507009873554804934193349852946;\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as erf_util from '../../ops/erf_util';\nimport * as selu_util from '../../ops/selu_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class UnaryOpProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      float unaryOperation(float x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n\nconst CHECK_NAN_SNIPPET = `if (isnan(x)) return x;`;\n\nexport const LINEAR = `return x;`;\n\nexport const ABS = `return abs(x);`;\n\nexport const RELU = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : x;\n`;\n\nexport const RELU6 = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n`;\n\nexport const ELU = `return (x >= 0.0) ? x : (exp(x) - 1.0);`;\n\nexport const SELU = `\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = ${selu_util.SELU_SCALEALPHA};\n  float scale = ${selu_util.SELU_SCALE};\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`;\n\nexport function STEP(alpha = 0.0) {\n  return CHECK_NAN_SNIPPET + `\n    return x > 0.0 ? 1.0 : float(${alpha});\n  `;\n}\n\nexport const NEG = `return -x;`;\n\nexport const CEIL = `return ceil(x);`;\n\nexport const FLOOR = `return floor(x);`;\n\nexport const SIGN = `\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n`;\n\nexport const IS_NAN = `return float(isnan(x));`;\n\nexport const IS_INF = `return float(isinf(x));`;\n\nexport const IS_FINITE = `return float(!isnan(x) && !isinf(x));`;\n\nexport const ROUND = `\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n`;\n\nexport const EXP = `return exp(x);`;\n\nexport const EXPM1 = `return exp(x) - 1.0;`;\n\nexport const LOG = `if (x < 0.0) return NAN;\n  return log(x);`;\n\nexport const LOG1P = `return log(1.0 + x);`;\n\nexport const SQRT = `return sqrt(x);`;\n\nexport const RSQRT = `return inversesqrt(x);`;\n\nexport const SIGMOID = `return 1.0 / (1.0 + exp(-1.0 * x));`;\n\n/**\n * mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n *\n * epsilon is the difference between 1.0 and the next representable\n * float. For a single precision 32 bit float this should be 2^-23, see:\n * https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n *\n * too_large = (x > -threshold) is value above which exp(x) may overflow\n * but softplus(x) == x is within machine epsilon\n *\n * too_small = (x < threshold) is value below which exp(x) may underflow,\n * but softplus(x) == exp(x) is within machine epsilon.\n */\nexport const SOFTPLUS = `\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n`;\n\nexport const SIN = CHECK_NAN_SNIPPET + `\n  return sin(x);\n`;\n\nexport const COS = CHECK_NAN_SNIPPET + `\n  return cos(x);\n`;\n\nexport const TAN = `return tan(x);`;\n\nexport const ASIN = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n`;\n\nexport const ACOS = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n`;\n\nexport const ATAN = CHECK_NAN_SNIPPET + `\n  return atan(x);\n`;\n\nexport const SINH = `\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n`;\n\nexport const COSH = `\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n`;\n\nexport const TANH = `\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`;\n\nexport const ASINH = CHECK_NAN_SNIPPET + `return log(x + sqrt(x * x + 1.0));`;\n\nexport const ACOSH = CHECK_NAN_SNIPPET + `\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));`;\n\nexport const ATANH = CHECK_NAN_SNIPPET + `\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;`;\n\nexport const ERF = `\n  // Error function is calculated approximately with elementary function.\n  // See \"Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n  float p = ${erf_util.ERF_P};\n  float a1 = ${erf_util.ERF_A1};\n  float a2 = ${erf_util.ERF_A2};\n  float a3 = ${erf_util.ERF_A3};\n  float a4 = ${erf_util.ERF_A4};\n  float a5 = ${erf_util.ERF_A5};\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`;\n\nexport const SQUARE = `return x * x;`;\n\nexport const RECIPROCAL = `return 1.0 / x;`;\n\nexport const LOGICAL_NOT = `return float(!(x >= 1.0));`;\n\nexport const TO_INT = `return float(int(x));`;\n\nexport const CLONE = 'return x;';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const LINEAR = `return x;`;\n\nexport const LOG = `\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n`;\n\nexport const RELU = `\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const RELU6 = `\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const ELU = `\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n`;\n\nexport class UnaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      vec4 unaryOperation(vec4 x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels, getSourceCoords} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class UnpackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = false;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: number[]) {\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    const channels = getChannels('rc', rank);\n    const dtype = getCoordsDataType(rank);\n    const sourceCoords = getSourceCoords(rank, channels);\n    const innerDims = channels.slice(-2);\n    const coords = rank <= 1 ? 'rc' : `vec2(${innerDims.join(',')})`;\n\n    this.userCode = `\n      void main() {\n        ${dtype} rc = getOutputCoords();\n        vec4 packedInput = getA(${sourceCoords});\n\n        setOutput(getChannel(packedInput, ${coords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// Import webgl flags.\nimport './flags_webgl';\n\nimport * as device_util from '../../device_util';\nimport {ENGINE, MemoryInfo, TimingInfo} from '../../engine';\nimport {env} from '../../environment';\nimport {tidy} from '../../globals';\nimport {TensorInfo} from '../../kernel_registry';\nimport {warn} from '../../log';\nimport {buffer} from '../../ops/array_ops';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport {computeOutShape} from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {div} from '../../ops/div';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as reduce_util from '../../ops/reduce_util';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as segment_util from '../../ops/segment_util';\nimport * as slice_util from '../../ops/slice_util';\nimport {softmax} from '../../ops/softmax';\nimport {range, scalar, tensor} from '../../ops/tensor_ops';\nimport {transpose} from '../../ops/transpose';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../../tensor';\nimport {BackendValues, DataType, DataTypeMap, NumericDataType, Rank, RecursiveArray, ShapeMap, sumOutType, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, getTypedArrayFromDType, inferDtype, sizeFromShape} from '../../util';\nimport {DataStorage, EPSILON_FLOAT16, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport {mergeRealAndImagArrays} from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {AddNProgram} from './addn_gpu';\nimport {AddNPackedProgram} from './addn_packed_gpu';\nimport {ArgMinMaxProgram} from './argminmax_gpu';\nimport {ArgMinMaxPackedProgram} from './argminmax_packed_gpu';\nimport {AvgPool2DBackpropProgram, AvgPool3DBackpropProgram} from './avg_pool_backprop_gpu';\nimport {BatchNormProgram} from './batchnorm_gpu';\nimport {BatchNormPackedProgram} from './batchnorm_packed_gpu';\nimport * as binaryop_complex_gpu from './binaryop_complex_gpu';\nimport {BinaryOpComplexProgram} from './binaryop_complex_gpu';\nimport * as binaryop_gpu from './binaryop_gpu';\nimport {BinaryOpProgram} from './binaryop_gpu';\nimport * as binaryop_packed_gpu from './binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from './binaryop_packed_gpu';\nimport {getWebGLContext} from './canvas_util';\nimport {ClipProgram} from './clip_gpu';\nimport {ClipPackedProgram} from './clip_packed_gpu';\nimport {ComplexAbsProgram} from './complex_abs_gpu';\nimport {ConcatProgram} from './concat_gpu';\nimport {ConcatPackedProgram} from './concat_packed_gpu';\nimport {Conv2DDerFilterProgram, Conv2DDerInputProgram, Conv3DDerFilterProgram, Conv3DDerInputProgram} from './conv_backprop_gpu';\nimport {DepthwiseConv2DDerFilterProgram, DepthwiseConv2DDerInputProgram} from './conv_backprop_gpu_depthwise';\nimport {Conv2DProgram, Conv3DProgram} from './conv_gpu';\nimport {DepthwiseConv2DProgram} from './conv_gpu_depthwise';\nimport {DepthwiseConvPacked2DProgram} from './conv_packed_gpu_depthwise';\nimport {CropAndResizeProgram} from './crop_and_resize_gpu';\nimport {CumSumProgram} from './cumsum_gpu';\nimport {DecodeMatrixProgram} from './decode_matrix_gpu';\nimport {DecodeMatrixPackedProgram} from './decode_matrix_packed_gpu';\nimport {DepthToSpaceProgram} from './depth_to_space_gpu';\nimport {DiagProgram} from './diag_gpu';\nimport {EncodeFloatProgram} from './encode_float_gpu';\nimport {EncodeFloatPackedProgram} from './encode_float_packed_gpu';\nimport {EncodeMatrixProgram} from './encode_matrix_gpu';\nimport {EncodeMatrixPackedProgram} from './encode_matrix_packed_gpu';\nimport * as fft_gpu from './fft_gpu';\nimport {FFTProgram} from './fft_gpu';\nimport {FillProgram} from './fill_gpu';\nimport {GatherProgram} from './gather_gpu';\nimport {GatherNDProgram} from './gather_nd_gpu';\nimport {GPGPUContext} from './gpgpu_context';\nimport * as gpgpu_math from './gpgpu_math';\nimport {GPGPUBinary, GPGPUProgram, TensorData} from './gpgpu_math';\nimport {Im2ColPackedProgram} from './im2col_packed_gpu';\nimport {LRNProgram} from './lrn_gpu';\nimport {LRNGradProgram} from './lrn_grad_gpu';\nimport {LRNPackedProgram} from './lrn_packed_gpu';\nimport {MaxPool2DBackpropProgram, MaxPool3DBackpropProgram} from './max_pool_backprop_gpu';\nimport {MatMulPackedProgram} from './mulmat_packed_gpu';\nimport {MultinomialProgram} from './multinomial_gpu';\nimport {OneHotProgram} from './onehot_gpu';\nimport {PackProgram} from './pack_gpu';\nimport {PadProgram} from './pad_gpu';\nimport {PadPackedProgram} from './pad_packed_gpu';\nimport {Pool2DProgram, Pool3DProgram} from './pool_gpu';\nimport {ReduceProgram} from './reduce_gpu';\nimport {ReshapePackedProgram} from './reshape_packed_gpu';\nimport {ResizeBilinearBackpropProgram} from './resize_bilinear_backprop_gpu';\nimport {ResizeBilinearProgram} from './resize_bilinear_gpu';\nimport {ResizeBilinearPackedProgram} from './resize_bilinear_packed_gpu';\nimport {ResizeNearestNeigborBackpropProgram} from './resize_nearest_neighbor_backprop_gpu';\nimport {ResizeNearestNeighborProgram} from './resize_nearest_neighbor_gpu';\nimport {ReverseProgram} from './reverse_gpu';\nimport {ReversePackedProgram} from './reverse_packed_gpu';\nimport {ScatterProgram} from './scatter_gpu';\nimport {SegmentOpProgram} from './segment_gpu';\nimport {SelectProgram} from './select_gpu';\nimport {SliceProgram} from './slice_gpu';\nimport {SlicePackedProgram} from './slice_packed_gpu';\nimport {StridedSliceProgram} from './strided_slice_gpu';\nimport * as tex_util from './tex_util';\nimport {TextureData, TextureUsage} from './tex_util';\nimport {TextureManager} from './texture_manager';\nimport {TileProgram} from './tile_gpu';\nimport * as unary_op from './unaryop_gpu';\nimport {UnaryOpProgram} from './unaryop_gpu';\nimport * as unary_packed_op from './unaryop_packed_gpu';\nimport {UnaryOpPackedProgram} from './unaryop_packed_gpu';\nimport {UnpackProgram} from './unpack_gpu';\nimport * as webgl_util from './webgl_util';\n\ntype KernelInfo = {\n  name: string; query: Promise<number>;\n};\n\nexport type TimerNode = RecursiveArray<KernelInfo>|KernelInfo;\nexport interface CPUTimerQuery {\n  startMs: number;\n  endMs?: number;\n}\n\nexport interface WebGLMemoryInfo extends MemoryInfo {\n  numBytesInGPU: number;\n  unreliable: boolean;\n}\n\nexport interface WebGLTimingInfo extends TimingInfo {\n  uploadWaitMs: number;\n  downloadWaitMs: number;\n}\n\nconst binaryCaches: {[webGLVersion: string]: {[key: string]: GPGPUBinary}} = {};\n\nexport function getBinaryCache(webGLVersion: number) {\n  if (webGLVersion in binaryCaches) {\n    return binaryCaches[webGLVersion];\n  }\n  binaryCaches[webGLVersion] = {};\n  return binaryCaches[webGLVersion];\n}\n\nfunction mapActivationToShaderProgram(\n    activation: Activation, packed = false): string {\n  if (activation === 'linear') {\n    if (packed) {\n      return unary_packed_op.LINEAR;\n    }\n    return unary_op.LINEAR;\n  } else if (activation === 'relu') {\n    if (packed) {\n      return unary_packed_op.RELU;\n    }\n    return unary_op.RELU;\n  } else if (activation === 'elu') {\n    if (packed) {\n      return unary_packed_op.ELU;\n    }\n    return unary_op.ELU;\n  } else if (activation === 'relu6') {\n    if (packed) {\n      return unary_packed_op.RELU6;\n    }\n    return unary_op.RELU6;\n  } else if (activation === 'prelu') {\n    if (packed) {\n      return binaryop_packed_gpu.PRELU;\n    }\n    return binaryop_gpu.PRELU;\n  }\n  throw new Error(`Activation ${\n      activation} has not been implemented for the WebGL backend.`);\n}\n\n// Empirically determined constant used to determine size threshold for handing\n// off execution to the CPU.\nconst CPU_HANDOFF_SIZE_THRESHOLD = 128;\n\n// Empirically determined constant used to decide the number of MB on GPU\n// before we warn about high memory use. The MB are this constant * screen area\n// * dpi / 1024 / 1024.\nconst BEFORE_PAGING_CONSTANT = 600;\nfunction numMBBeforeWarning(): number {\n  if (env().global.screen == null) {\n    return 1024;  // 1 GB.\n  }\n  return (env().global.screen.height * env().global.screen.width *\n          window.devicePixelRatio) *\n      BEFORE_PAGING_CONSTANT / 1024 / 1024;\n}\n\n// Empirically determined minimal shared dimension in matmul before we forward\n// to a.mul(b).sum() in order to take advantage of GPU parallelism. See\n// https://github.com/tensorflow/tfjs-core/pull/1379 for benchmarks.\nexport const MATMUL_SHARED_DIM_THRESHOLD = 1000;\n\nexport class MathBackendWebGL extends KernelBackend {\n  texData: DataStorage<TextureData>;\n  gpgpu: GPGPUContext;\n\n  // Maps data ids that have a pending read operation, to list of subscribers.\n  private pendingRead = new WeakMap<DataId, Array<(arr: TypedArray) => void>>();\n  // List of data ids that are scheduled for disposal, but are waiting on a\n  // pending read operation.\n  private pendingDisposal = new WeakSet<DataId>();\n  // Used to count the number of 'shallow' sliced tensors that point to the\n  // same data id.\n  private dataRefCount = new WeakMap<DataId, number>();\n  private numBytesInGPU = 0;\n\n  private canvas: HTMLCanvasElement|OffscreenCanvas;\n\n  private programTimersStack: TimerNode[];\n  private activeTimers: TimerNode[];\n  // Accumulated time spent (including blocking) in uploading data to webgl.\n  private uploadWaitMs = 0;\n  // Accumulated time spent (including blocking in downloading data from webgl.\n  private downloadWaitMs = 0;\n  private cpuBackend: KernelBackend;\n\n  // Number of bits of precision of this backend.\n  private floatPrecisionValue: 32|16;\n\n  private textureManager: TextureManager;\n  private binaryCache: {[key: string]: GPGPUBinary};\n  private gpgpuCreatedLocally: boolean;\n  private numMBBeforeWarning: number;\n  private warnedAboutMemory = false;\n\n  constructor(gpgpu?: GPGPUContext) {\n    super();\n    if (!env().getBool('HAS_WEBGL')) {\n      throw new Error('WebGL is not supported on this device');\n    }\n\n    if (gpgpu == null) {\n      const gl = getWebGLContext(env().getNumber('WEBGL_VERSION'));\n      this.binaryCache = getBinaryCache(env().getNumber('WEBGL_VERSION'));\n      this.gpgpu = new GPGPUContext(gl);\n      this.canvas = gl.canvas;\n      this.gpgpuCreatedLocally = true;\n    } else {\n      this.gpgpu = gpgpu;\n      this.binaryCache = {};\n      this.gpgpuCreatedLocally = false;\n      this.canvas = gpgpu.gl.canvas;\n    }\n    this.textureManager = new TextureManager(this.gpgpu);\n    this.numMBBeforeWarning = numMBBeforeWarning();\n\n    this.texData = new DataStorage(this, ENGINE);\n  }\n\n  numDataIds() {\n    return this.texData.numDataIds() +\n        (this.cpuBackend ? this.cpuBackend.numDataIds() : 0) -\n        this.pendingDeletes;\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64' && values != null) {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    const dataId = {};\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    const texData = this.texData.get(dataId);\n    const {values, dtype, complexTensors, slice, shape, isPacked} = texData;\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.readSync(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n    if (dtype === 'string') {\n      return values;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let result: Float32Array;\n    if (dtype === 'complex64') {\n      const realValues = complexTensors.real.dataSync() as Float32Array;\n      const imagValues = complexTensors.imag.dataSync() as Float32Array;\n      result = mergeRealAndImagArrays(realValues, imagValues);\n    } else {\n      result = this.getValuesFromTexture(dataId);\n    }\n\n    if (shouldTimeProgram) {\n      this.downloadWaitMs += util.now() - start;\n    }\n    return this.convertAndCacheOnCPU(dataId, result);\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    if (this.pendingRead.has(dataId)) {\n      const subscribers = this.pendingRead.get(dataId);\n      return new Promise<TypedArray>(resolve => subscribers.push(resolve));\n    }\n    const texData = this.texData.get(dataId);\n    const {values, shape, slice, dtype, complexTensors, isPacked} = texData;\n\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.read(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n\n    if (!env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED') &&\n        env().getNumber('WEBGL_VERSION') === 2) {\n      throw new Error(\n          `tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and ` +\n          `WEBGL_VERSION=2 not yet supported.`);\n    }\n\n    let buffer = null;\n    let tmpDownloadTarget: TensorInfo;\n\n    if (dtype !== 'complex64' && env().get('WEBGL_BUFFER_SUPPORTED')) {\n      // Possibly copy the texture into a buffer before inserting a fence.\n      tmpDownloadTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpDownloadTarget.dataId);\n\n      buffer = this.gpgpu.createBufferFromTexture(\n          tmpData.texture, ...tex_util.getDenseTexShape(shape));\n    }\n\n    this.pendingRead.set(dataId, []);\n\n    if (dtype !== 'complex64') {\n      // Create a fence and wait for it to resolve.\n      await this.gpgpu.createAndWaitForFence();\n    }\n\n    // Download the values from the GPU.\n    let vals: Float32Array;\n    if (dtype === 'complex64') {\n      const ps = await Promise.all(\n          [complexTensors.real.data(), complexTensors.imag.data()]);\n      const realValues = ps[0];\n      const imagValues = ps[1];\n      vals = mergeRealAndImagArrays(\n          realValues as Float32Array, imagValues as Float32Array);\n    } else if (buffer == null) {\n      vals = this.getValuesFromTexture(dataId);\n    } else {\n      const size = util.sizeFromShape(shape);\n      vals = this.gpgpu.downloadFloat32MatrixFromBuffer(buffer, size);\n    }\n    if (tmpDownloadTarget != null) {\n      this.disposeData(tmpDownloadTarget.dataId);\n    }\n    const dTypeVals = this.convertAndCacheOnCPU(dataId, vals);\n\n    const subscribers = this.pendingRead.get(dataId);\n    this.pendingRead.delete(dataId);\n\n    // Notify all pending reads.\n    subscribers.forEach(resolve => resolve(dTypeVals));\n    if (this.pendingDisposal.has(dataId)) {\n      this.pendingDisposal.delete(dataId);\n      this.disposeData(dataId);\n      this.pendingDeletes--;\n    }\n    return dTypeVals;\n  }\n\n  private checkNumericalProblems(values: BackendValues): void {\n    if (values == null) {\n      return;\n    }\n    for (let i = 0; i < values.length; i++) {\n      const num = values[i] as number;\n      if (!webgl_util.canBeRepresented(num)) {\n        if (env().getBool('WEBGL_RENDER_FLOAT32_CAPABLE')) {\n          throw Error(\n              `The value ${num} cannot be represented with your ` +\n              `current settings. Consider enabling float32 rendering: ` +\n              `'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'`);\n        }\n        throw Error(`The value ${num} cannot be represented on this device.`);\n      }\n    }\n  }\n\n  private getValuesFromTexture(dataId: DataId): Float32Array {\n    const {shape, dtype, isPacked} = this.texData.get(dataId);\n    const size = util.sizeFromShape(shape);\n    if (env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED')) {\n      const tmpTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpTarget.dataId);\n      const vals = this.gpgpu\n                       .downloadMatrixFromPackedTexture(\n                           tmpData.texture, ...tex_util.getDenseTexShape(shape))\n                       .subarray(0, size);\n\n      this.disposeData(tmpTarget.dataId);\n\n      return vals;\n    }\n\n    const shouldUsePackedProgram =\n        env().getBool('WEBGL_PACK') && isPacked === true;\n    const outputShape =\n        shouldUsePackedProgram ? webgl_util.getShapeAs3D(shape) : shape;\n    const program = shouldUsePackedProgram ?\n        new EncodeFloatPackedProgram(outputShape as [number, number, number]) :\n        new EncodeFloatProgram(outputShape);\n    const output = this.runWebGLProgram(\n        program, [{shape: outputShape, dtype, dataId}], 'float32');\n    const tmpData = this.texData.get(output.dataId);\n    const vals =\n        this.gpgpu\n            .downloadByteEncodedFloatMatrixFromOutputTexture(\n                tmpData.texture, tmpData.texShape[0], tmpData.texShape[1])\n            .subarray(0, size);\n    this.disposeData(output.dataId);\n\n    return vals;\n  }\n\n  async time(f: () => void): Promise<WebGLTimingInfo> {\n    const oldActiveTimers = this.activeTimers;\n    const newActiveTimers: TimerNode[] = [];\n\n    let outerMostTime = false;\n    if (this.programTimersStack == null) {\n      this.programTimersStack = newActiveTimers;\n      outerMostTime = true;\n    } else {\n      this.activeTimers.push(newActiveTimers);\n    }\n    this.activeTimers = newActiveTimers;\n\n    f();\n\n    // needing to split these up because util.flatten only accepts certain types\n    const flattenedActiveTimerQueries =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.query))\n            .filter(d => d != null);\n    const flattenedActiveTimerNames =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.name))\n            .filter(d => d != null);\n\n    this.activeTimers = oldActiveTimers;\n\n    if (outerMostTime) {\n      this.programTimersStack = null;\n    }\n\n    const res: WebGLTimingInfo = {\n      uploadWaitMs: this.uploadWaitMs,\n      downloadWaitMs: this.downloadWaitMs,\n      kernelMs: null,\n      wallMs: null  // will be filled by the engine\n    };\n\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      const kernelMs = await Promise.all(flattenedActiveTimerQueries);\n\n      res['kernelMs'] = util.sum(kernelMs);\n      res['getExtraProfileInfo'] = () =>\n          kernelMs.map((d, i) => ({name: flattenedActiveTimerNames[i], ms: d}))\n              .map(d => `${d.name}: ${d.ms}`)\n              .join(', ');\n    } else {\n      res['kernelMs'] = {\n        error: 'WebGL query timers are not supported in this environment.'\n      };\n    }\n\n    this.uploadWaitMs = 0;\n    this.downloadWaitMs = 0;\n    return res;\n  }\n  memory(): WebGLMemoryInfo {\n    return {unreliable: false, numBytesInGPU: this.numBytesInGPU} as\n        WebGLMemoryInfo;\n  }\n\n  private startTimer(): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      return this.gpgpu.beginQuery();\n    }\n    return {startMs: util.now(), endMs: null};\n  }\n\n  private endTimer(query: WebGLQuery|CPUTimerQuery): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      this.gpgpu.endQuery();\n      return query;\n    }\n    (query as CPUTimerQuery).endMs = util.now();\n    return query;\n  }\n\n  private async getQueryTime(query: WebGLQuery|CPUTimerQuery): Promise<number> {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      return this.gpgpu.waitForQueryAndGetTime(query as WebGLQuery);\n    }\n    const timerQuery = query as CPUTimerQuery;\n    return timerQuery.endMs - timerQuery.startMs;\n  }\n\n  private pendingDeletes = 0;\n\n  disposeData(dataId: DataId): void {\n    if (this.pendingDisposal.has(dataId)) {\n      return;\n    }\n    if (this.pendingRead.has(dataId)) {\n      this.pendingDisposal.add(dataId);\n      this.pendingDeletes++;\n      return;\n    }\n    // No-op if already disposed.\n    if (!this.texData.has(dataId)) {\n      return;\n    }\n\n    this.releaseGPUData(dataId);\n    const {complexTensors} = this.texData.get(dataId);\n    if (complexTensors != null) {\n      complexTensors.real.dispose();\n      complexTensors.imag.dispose();\n    }\n    this.texData.delete(dataId);\n  }\n\n  private releaseGPUData(dataId: DataId): void {\n    const {texture, dtype, texShape, usage, isPacked, slice} =\n        this.texData.get(dataId);\n    const key = slice && slice.origDataId || dataId;\n    const refCount = this.dataRefCount.get(key);\n    if (refCount > 1) {\n      this.dataRefCount.set(key, refCount - 1);\n    } else {\n      this.dataRefCount.delete(key);\n      if (texture != null) {\n        this.numBytesInGPU -= this.computeBytes(texShape, dtype);\n        this.textureManager.releaseTexture(texture, texShape, usage, isPacked);\n      }\n    }\n    const texData = this.texData.get(dataId);\n    texData.texture = null;\n    texData.texShape = null;\n    texData.isPacked = false;\n    texData.slice = null;\n  }\n\n  getTexture(dataId: DataId): WebGLTexture {\n    this.uploadToGPU(dataId);\n    return this.texData.get(dataId).texture;\n  }\n\n  /**\n   * Returns internal information for the specific data bucket. Used in unit\n   * tests.\n   */\n  getDataInfo(dataId: DataId): TextureData {\n    return this.texData.get(dataId);\n  }\n\n  private getCPUBackend(): KernelBackend|null {\n    if (!env().getBool('WEBGL_CPU_FORWARD')) {\n      return null;\n    }\n\n    if (this.cpuBackend == null) {\n      this.cpuBackend = ENGINE.findBackend('cpu');\n    }\n\n    return this.cpuBackend;\n  }\n\n  /*\n  Tests whether all the inputs to an op are small and on the CPU. This heuristic\n  determines when it would be faster to execute a kernel on the CPU. WebGL\n  kernels opt into running this check and forwarding when appropriate.\n  TODO(https://github.com/tensorflow/tfjs/issues/872): Develop a more\n  sustainable strategy for optimizing backend execution of ops.\n   */\n  shouldExecuteOnCPU(\n      inputs: TensorInfo[],\n      sizeThreshold = CPU_HANDOFF_SIZE_THRESHOLD): boolean {\n    return this.getCPUBackend() != null &&\n        inputs.every(\n            input => this.texData.get(input.dataId).texture == null &&\n                util.sizeFromShape(input.shape) < sizeThreshold);\n  }\n\n  getGPGPUContext(): GPGPUContext {\n    return this.gpgpu;\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(real.shape, 'complex64');\n    const resultData = this.texData.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.slice(x, begin, size);\n    }\n    // Short-circuit computation if the slice is zero-sized.\n    if (util.sizeFromShape(size) === 0) {\n      return tensor([], size, x.dtype) as T;\n    }\n    const {isPacked} = this.texData.get(x.dataId);\n    const isContinous = slice_util.isSliceContinous(x.shape, begin, size);\n    if (isPacked || !isContinous) {\n      const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n          new SlicePackedProgram(size) :\n          new SliceProgram(size);\n      const customSetup = program.getCustomSetupFunc(begin);\n      return this.compileAndRun(program, [x], null, customSetup);\n    }\n    this.uploadToGPU(x.dataId);\n    return this.shallowSlice(x, begin, size) as T;\n  }\n\n  private shallowSlice(x: Tensor, begin: number[], size: number[]): Tensor {\n    const xTexData = this.texData.get(x.dataId);\n    const t = this.makeOutput(size, x.dtype);\n    const newTexData = this.texData.get(t.dataId);\n    // Copy texture data from the original tensor.\n    Object.assign(newTexData, xTexData);\n    newTexData.shape = size;\n    newTexData.dtype = x.dtype;\n    let flatOffset = slice_util.computeFlatOffset(begin, x.strides);\n    if (xTexData.slice) {\n      // We are slicing an already sliced tensor, so we have to accumulate\n      // the offset.\n      flatOffset += xTexData.slice.flatOffset;\n    }\n    newTexData.slice = {\n      flatOffset,\n      // Point to the original dataId, which is used to do ref counting.\n      origDataId: xTexData.slice && xTexData.slice.origDataId || x.dataId\n    };\n\n    // Increase the ref count for that data bucket.\n    const refCount = this.dataRefCount.get(newTexData.slice.origDataId) || 1;\n    this.dataRefCount.set(newTexData.slice.origDataId, refCount + 1);\n\n    return t;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.stridedSlice(x, begin, end, strides);\n    }\n\n    const outShape = slice_util.computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return tensor([], outShape) as T;\n    }\n\n    const program = new StridedSliceProgram(begin, strides, outShape);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new ReversePackedProgram(x.shape, axis) :\n        new ReverseProgram(x.shape, axis);\n    return this.compileAndRun(program, [x]);\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    if (this.shouldExecuteOnCPU(tensors)) {\n      return this.cpuBackend.concat(tensors, axis);\n    }\n\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n    if (tensors.length > env().getNumber('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.concat(tensors.slice(0, midIndex), axis);\n      const rightSide = this.concat(tensors.slice(midIndex), axis);\n      return this.concat([leftSide, rightSide], axis);\n    }\n    if (env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') && tensors[0].rank > 1) {\n      const program = new ConcatPackedProgram(tensors.map(t => t.shape), axis);\n      return this.compileAndRun(program, tensors);\n    }\n    // Any concat of n-dimensional tensors across any axis can be reduced to\n    // a concatenation of two-dimensional tensors across the axis 1 by first\n    // partitioning the axes of the original tensors into those less than the\n    // axis to be concatenated and the rest. Then reshape the tensors\n    // into a two-dimensional tensor by collapsing these two sets of axes and\n    // concatenate the resulting matrices across the axis 1, finally reshaping\n    // the result to have the proper shape.\n    const outShape = computeOutShape(tensors.map(t => t.shape), axis);\n    const tensors2D =\n        tensors.map(t => t.as2D(-1, sizeFromShape(t.shape.slice(axis))));\n    const program = new ConcatProgram(tensors2D.map(t => t.shape));\n    const res: Tensor = this.compileAndRun(program, tensors2D);\n    return res.reshape(outShape);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.neg(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.NEG, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.NEG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const [batch, , ] = a.shape;\n\n    // Since the matrices are vectors, it is faster to call mul().sum()\n    // because sum() is O(sqrt(N)) due to divide-and-conquer.\n    if ((outerShapeA === 1 || outerShapeB === 1) &&\n        sharedDim > MATMUL_SHARED_DIM_THRESHOLD) {\n      if (transposeA) {\n        a = transpose(a, [0, 2, 1]);\n      }\n      if (transposeB) {\n        b = transpose(b, [0, 2, 1]);\n      }\n\n      const a3D = outerShapeB === 1 ? a : a.as3D(batch, sharedDim, 1);\n      const axis = outerShapeB === 1 ? 2 : 1;\n      const b3D = outerShapeB === 1 ? b.as3D(batch, 1, sharedDim) : b;\n      return this.multiply(a3D, b3D).sum(axis, true /* keepDims */);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB);\n    return this.compileAndRun<Tensor3D>(program, [a, b], dtype);\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const [batch, , ] = a.shape;\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB,\n        hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [a, b];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun<Tensor3D>(program, inputs, dtype);\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64') {\n      const aData = this.texData.get(a.dataId);\n      const bData = this.texData.get(b.dataId);\n\n      const realProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.REAL, a.shape, b.shape);\n      const imagProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.IMAG, a.shape, b.shape);\n\n      const inputs = [\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.imag),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.imag)\n      ];\n      const real = this.compileAndRun<Tensor>(realProgram, inputs);\n      const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n\n      const complex = this.complex(real, imag);\n      real.dispose();\n      imag.dispose();\n      return complex;\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.multiply(a, b);\n    }\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.MUL, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.MUL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], a.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    const inputs = [x, mean, variance];\n\n    let offsetShape = null;\n    if (offset != null) {\n      offsetShape = offset.shape;\n      inputs.push(offset);\n    }\n\n    let scaleShape = null;\n    if (scale != null) {\n      scaleShape = scale.shape;\n      inputs.push(scale);\n    }\n\n    if (env().getBool('WEBGL_PACK_NORMALIZATION')) {\n      const batchNormPackedProgram = new BatchNormPackedProgram(\n          x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n          varianceEpsilon);\n      return this.compileAndRun<Tensor4D>(batchNormPackedProgram, inputs);\n    }\n\n    const batchNormProgram = new BatchNormProgram(\n        x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n        varianceEpsilon);\n    return this.compileAndRun(batchNormProgram, inputs);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_NORMALIZATION') ?\n        new LRNPackedProgram(x.shape, radius, bias, alpha, beta) :\n        new LRNProgram(x.shape, radius, bias, alpha, beta);\n    return this.compileAndRun(program, [x]);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program =\n        new LRNGradProgram(inputImage.shape, depthRadius, bias, alpha, beta);\n    return this.compileAndRun(program, [inputImage, outputImage, dy]);\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    if (x.dtype === 'string') {\n      const data = this.readSync(x.dataId) as Uint8Array[];\n      const decodedData = data.map(d => util.decodeString(d));\n      const buf = buffer(x.shape, x.dtype, decodedData);\n      return tile(buf, reps) as T;\n    }\n    const program = new TileProgram(x.shape, reps);\n    return this.compileAndRun(program, [x]);\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new PadPackedProgram(x.shape, paddings, constantValue) :\n        new PadProgram(x.shape, paddings, constantValue);\n    return this.compileAndRun(program, [x]);\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    if (this.shouldExecuteOnCPU([x, indices])) {\n      return this.cpuBackend.gather(x, indices, axis);\n    }\n    const program = new GatherProgram(x.shape, indices.size, axis);\n    return this.compileAndRun(program, [x, indices]);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'batchToSpaceND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return transpose(x.reshape(reshaped), permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'spaceToBatchND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return transpose(\n               paddedX.reshape(reshapedPaddedShape),\n               permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  private reduce(\n      x: Tensor2D, reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod',\n      dtype: DataType): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program = new ReduceProgram(reduceInfo, reduceType);\n    const output = this.compileAndRun<Tensor2D>(program, [x], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.reduce(output, reduceType, dtype);\n  }\n\n  private argReduce(\n      x: Tensor2D, reduceType: 'max'|'min',\n      bestIndicesA: Tensor2D = null): Tensor2D {\n    let batchSize = x.shape[0];\n    let inSize = x.shape[1];\n    if (bestIndicesA != null) {\n      batchSize = bestIndicesA.shape[0];\n      inSize = bestIndicesA.shape[1];\n    }\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program =\n        new ArgMinMaxProgram(reduceInfo, reduceType, bestIndicesA == null);\n    const inputs = [x];\n    if (bestIndicesA != null) {\n      inputs.push(bestIndicesA);\n    }\n    const output = this.compileAndRun<Tensor2D>(program, inputs, 'int32');\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.argReduce(x, reduceType, output);\n  }\n\n  private argReducePacked(\n      x: Tensor, reduceType: 'max'|'min', bestIndicesA: Tensor = null): Tensor {\n    const inShape = bestIndicesA != null ? bestIndicesA.shape : x.shape;\n    const inSize = inShape[inShape.length - 1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const program = new ArgMinMaxPackedProgram(\n        inShape, windowSize, reduceType, bestIndicesA == null);\n    const inputs = bestIndicesA == null ? [x] : [x, bestIndicesA];\n    const output = this.compileAndRun<Tensor>(program, inputs, 'int32');\n    if (output.rank === x.rank) {\n      return this.argReducePacked(x, reduceType, output);\n    }\n    return output;\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'sum', outputDType).reshape(outShape);\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.prod(x, axes);\n    }\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'prod', outputDType).reshape(outShape);\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    let axis = 0;\n    const permutation = axis_util.getAxesPermutation([axis], x.rank);\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = transpose(x, permutation);\n      axis = axis_util.getInnerMostAxes(1, x.rank)[0];\n    }\n\n    const outShape =\n        segment_util.computeOutShape(permutedX.shape, axis, numSegments);\n    const inSize = util.sizeFromShape([permutedX.shape[axis]]);\n    const a2D = permutedX.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    let result =\n        this.segOpCompute(\n                a2D, 'unsortedSegmentSum', segmentIds, outputDType, numSegments)\n            .reshape(outShape);\n    if (permutation != null) {\n      result = transpose(result, axis_util.getUndoAxesPermutation(permutation));\n    }\n    return result;\n  }\n\n  private segOpCompute(\n      x: Tensor2D, segOpType: 'unsortedSegmentSum', segmentIds: Tensor1D,\n      dtype: DataType, numSegments: number): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize =\n        segment_util.segOpComputeOptimalWindowSize(inSize, numSegments);\n    const segOpInfo = {windowSize, inSize, batchSize, numSegments};\n    const program = new SegmentOpProgram(segOpInfo, segOpType);\n    const output =\n        this.compileAndRun<Tensor2D>(program, [x, segmentIds], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === numSegments) {\n      return output;\n    }\n    segmentIds = range(0, numSegments).tile([inSize / windowSize]);\n    return this.segOpCompute(output, segOpType, segmentIds, dtype, numSegments);\n  }\n\n  private argMinMaxReduce(x: Tensor, axis: number, reduceType: 'min'|'max'):\n      Tensor {\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims(\n        'arg' + reduceType.charAt(0).toUpperCase() + reduceType.slice(1), axes,\n        x.rank);\n    if (!env().getBool('WEBGL_PACK_REDUCE') || x.rank <= 2) {\n      const [outShape, reduceShape] =\n          axis_util.computeOutAndReduceShapes(x.shape, axes);\n      const inSize = util.sizeFromShape(reduceShape);\n      const a2D = x.as2D(-1, inSize);\n      return this.argReduce(a2D, reduceType).reshape(outShape);\n    }\n    return this.argReducePacked(x, reduceType);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'min');\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'max');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `WebGL cumsum shader expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const program = new CumSumProgram(x.shape, exclusive, reverse);\n    return this.compileAndRun(program, [x]);\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.EQUAL, 'bool');\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.NOT_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.NOT_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.less(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.LESS, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LESS_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.greater(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.GREATER, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.GREATER, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.GREATER_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.GREATER_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOGICAL_NOT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_AND, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_AND, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_OR, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_OR, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    const program = new SelectProgram(condition.rank, a.shape, a.rank);\n    return this.compileAndRun(\n        program, [condition, a, b], upcastType(a.dtype, b.dtype));\n  }\n\n  where(condition: Tensor): Tensor2D {\n    warn(\n        'tf.where() in webgl locks the UI thread. ' +\n        'Call tf.whereAsync() instead');\n    const condVals = condition.dataSync();\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    const xVals = x.dataSync();\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'min', a2D.dtype).reshape(outShape);\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.minimum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MIN, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MIN, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MOD, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MOD, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.max(x, axes);\n    }\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'max', a2D.dtype).reshape(outShape);\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.maximum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MAX, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MAX, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'all', a2D.dtype).reshape(outShape);\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'any', a2D.dtype).reshape(outShape);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    const op = binaryop_gpu.INT_DIV;\n    const outputDtype = 'int32';\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.INT_DIV, outputDtype);\n    }\n    const program = new BinaryOpProgram(op, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], outputDtype);\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.ADD);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.add(a, b);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.ADD, dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.ADD, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  private packedUnaryOp(x: TensorInfo, op: string, dtype: DataType) {\n    const program = new UnaryOpPackedProgram(x.shape, op);\n    return this.compileAndRun<Tensor>(program, [x], dtype);\n  }\n\n  private packedBinaryOp(\n      a: TensorInfo, b: TensorInfo, op: string, dtype: DataType,\n      checkOutOfBounds = false) {\n    const program =\n        new BinaryOpPackedProgram(op, a.shape, b.shape, checkOutOfBounds);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  /**\n   * Computes a complex binary operation that can be decomposed into a simple\n   * binary operation on both the real and imagary parts.\n   */\n  private complexSeparableBinaryOp(a: Tensor, b: Tensor, op: string): Tensor {\n    const aData = this.texData.get(a.dataId);\n    const bData = this.texData.get(b.dataId);\n\n    const [real, imag] = [\n      [aData.complexTensors.real, bData.complexTensors.real],\n      [aData.complexTensors.imag, bData.complexTensors.imag]\n    ].map(complexParts => {\n      const [aPart, bPart] = complexParts;\n\n      const aHandle = this.makeComplexComponentTensorInfo(a, aPart);\n      const bHandle = this.makeComplexComponentTensorInfo(b, bPart);\n\n      const program = new BinaryOpProgram(op, a.shape, b.shape);\n      return this.compileAndRun<Tensor>(\n          program, [aHandle, bHandle], upcastType(aPart.dtype, bPart.dtype));\n    });\n\n    const complex = this.complex(real, imag);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  // Returns a TensorInfo with the complex shape and the dataId of the\n  // underlying part. We need to do this because a reshaped complex tensor is\n  // not reflected in its parts.\n  private makeComplexComponentTensorInfo(\n      complexTensor: Tensor, complexPart: Tensor): TensorInfo {\n    return {\n      dataId: complexPart.dataId,\n      dtype: complexPart.dtype,\n      shape: complexTensor.shape\n    };\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n\n    // Limit the number of uploaded textures for optimization.\n    if (tensors.length > env().get('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.addN(tensors.slice(0, midIndex));\n      const rightSide = this.addN(tensors.slice(midIndex));\n      return this.addN([leftSide, rightSide]);\n    }\n\n    const dtype =\n        tensors.map(t => t.dtype).reduce((d1, d2) => upcastType(d1, d2));\n    const shapes = tensors.map(t => t.shape);\n    // We can make sure shapes are identical in op level.\n    const usePackedOp = env().getBool('WEBGL_PACK');\n    const program = usePackedOp ?\n        new AddNPackedProgram(tensors[0].shape, shapes) :\n        new AddNProgram(tensors[0].shape, shapes);\n    return this.compileAndRun<T>(program, tensors, dtype);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.SUB);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.subtract(a, b);\n    }\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.SUB, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.SUB, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    const usePackedOp = env().getBool('WEBGL_PACK_BINARY_OPERATIONS');\n    const program = usePackedOp ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.POW, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.POW, a.shape, b.shape);\n    const dtype = upcastType(a.dtype, b.dtype);\n    return this.compileAndRun<T>(program, [a, b], dtype);\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.ceil(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.CEIL, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.CEIL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.floor(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.FLOOR, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.FLOOR);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_NAN);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_INF);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_FINITE);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ROUND);\n    return this.compileAndRun(program, [x]);\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.exp(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXP, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXP);\n    return this.compileAndRun(program, [x]);\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.expm1(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXPM1, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXPM1);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softmax<T extends Tensor>(logits: T, dim: number): T {\n    const axes = util.parseAxisParam([dim], logits.shape);\n    const maxLogit = this.max(logits, axes);\n    const expandedShape = axis_util.expandShapeToKeepDim(maxLogit.shape, axes);\n    const a = this.subtract(logits, maxLogit.reshape(expandedShape));\n    const b = this.exp(a);\n    const sumExp = this.sum(b, axes).reshape(expandedShape);\n\n    // TODO(annxingyuan): Call divImpl rather than op as part of softmax kernel\n    // modularization.\n    return div(b, sumExp);\n  }\n\n  log<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.log(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.LOG, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG1P);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.rsqrt(x);\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.RSQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.RECIPROCAL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU6);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU6);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  prelu<T extends Tensor>(x: T, alpha: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.PRELU, x.shape, alpha.shape) :\n        new BinaryOpProgram(binaryop_gpu.PRELU, x.shape, alpha.shape);\n    return this.compileAndRun(program, [x, alpha]);\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.ELU, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.ELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.ELU_DER, dy.shape, y.shape) :\n        new BinaryOpProgram(binaryop_gpu.ELU_DER, dy.shape, y.shape);\n    return this.compileAndRun(program, [dy, y]);\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  int<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TO_INT);\n    return this.compileAndRun(program, [x], 'int32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    let program;\n    if (env().getBool('WEBGL_PACK_CLIP')) {\n      program = new ClipPackedProgram(x.shape);\n    } else {\n      program = new ClipProgram(x.shape);\n    }\n    const customSetup = program.getCustomSetupFunc(min, max);\n    return this.compileAndRun(program, [x], null, customSetup);\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.abs(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.ABS, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.ABS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const xData = this.texData.get(x.dataId);\n\n    const program = new ComplexAbsProgram(x.shape);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    return this.compileAndRun<Tensor>(program, inputs) as T;\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGMOID);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SOFTPLUS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.ATAN2, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.ATAN2, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ERF);\n    return this.compileAndRun(program, [x]);\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.STEP(alpha));\n    return this.compileAndRun(program, [x]);\n  }\n\n  private conv2dByMatMul(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Reshapes conv2D input to 2D tensors, uses matMul and then reshape the\n    // result from 2D to 4D.\n    const xShape = x.shape;\n    const xTexData = this.texData.get(x.dataId);\n    const sharedMatMulDim = convInfo.inChannels;\n    const outerShapeX = xShape[0] * xShape[1] * xShape[2];\n    const outerShapeFilter = convInfo.outChannels;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const transposeA = false;\n    const transposeB = false;\n\n    // TODO: Once reduction ops are packed, batchMatMul will always be packed\n    // and we can remove this condition.\n    const batchMatMulWillBeUnpacked =\n        (outerShapeX === 1 || outerShapeFilter === 1) &&\n        sharedMatMulDim > MATMUL_SHARED_DIM_THRESHOLD;\n    const reshapeWillBeExpensive = xShape[2] % 2 !== 0 && !!xTexData.isPacked;\n\n    if (batchMatMulWillBeUnpacked || !env().getBool('WEBGL_LAZILY_UNPACK') ||\n        !env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ||\n        !reshapeWillBeExpensive) {\n      const targetShape = isChannelsLast ? xShape[0] * xShape[1] * xShape[2] :\n                                           xShape[0] * xShape[2] * xShape[3];\n      const xReshaped = this.reshape(x, [1, targetShape, convInfo.inChannels]);\n      const filterReshaped =\n          this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n      return this.reshape<Rank.R4>(\n          this.fusedBatchMatMul({\n            a: xReshaped as Tensor3D,\n            b: filterReshaped as Tensor3D,\n            transposeA,\n            transposeB,\n            bias,\n            activation,\n            preluActivationWeights\n          }),\n          convInfo.outShape);\n    }\n\n    // Following optimization is specific to packed |x| with odd row count\n    // (For example, in channelLast mode, 'row count' refers to x.shape[2]):\n    // we avoid expensive packed 2x2 reshape by padding row count to next,\n    // even number. When x.shape[2] is odd, the result of packed batchMatMul is\n    // the same (has the same texture layout and and values in the texture) as\n    // it is for even x.shape[2] + 1. We make the odd-rows tensor to look like\n    // even-rows tensor before the operation and, after the batchMatMul,\n    // fix the even-rows result to have odd number of rows.\n    const targetShape = isChannelsLast ?\n        xShape[0] * xShape[1] * (xShape[2] + 1) :\n        xShape[0] * xShape[2] * (xShape[3] + 1);\n    const xReshaped: TensorInfo = {\n      dataId: x.dataId,\n      shape: [1, targetShape, convInfo.inChannels],\n      dtype: x.dtype\n    };\n    // xTexData.shape gets referenced from GPGPUBinary.inShapeInfos.\n    // Decrementing row count, after batchMatMul->...->compileProgram leads to\n    // invalid row count within the reference in GPGPUBinary.inShapeInfos.\n    // Alternative fix would be to provide a copy to GPGPUBinary.inShapeInfos\n    // in compileProgram method, but that would affect compilation of all\n    // programs - instead, provide a copy here, with even row count, before\n    // calling batchMatMul->...->compileProgram and after that, the original\n    // xTexData.shape is restored.\n    const originalXTexDataShape = xTexData.shape;\n    xTexData.shape = xTexData.shape.slice();\n    xTexData.shape[xTexData.shape.length - 2]++;\n    util.assert(\n        webgl_util.isReshapeFree(xTexData.shape, xReshaped.shape),\n        () => `packed reshape ${xTexData.shape} to ${\n            xReshaped.shape} isn't free`);\n    const filterReshaped =\n        this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n    const pointwiseConv = this.fusedBatchMatMul({\n      a: xReshaped as Tensor3D,\n      b: filterReshaped as Tensor3D,\n      transposeA,\n      transposeB,\n      bias,\n      activation,\n      preluActivationWeights\n    });\n    const pointwiseConvTexData = this.texData.get(pointwiseConv.dataId);\n    util.assert(\n        pointwiseConvTexData.isPacked,\n        () => 'batchMatMul result is expected to be packed');\n    // Restore the input shape to original.\n    xTexData.shape = originalXTexDataShape;\n    // Set the output shape - there is no need for expensive reshape as data\n    // layout is already correct.\n    pointwiseConvTexData.shape = convInfo.outShape;\n    return ENGINE.makeTensorFromDataId(\n               pointwiseConv.dataId, convInfo.outShape, pointwiseConv.dtype) as\n        Tensor4D;\n  }\n\n  private conv2dWithIm2Row(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Rearranges conv2d input so each block to be convolved over forms the\n    // column of a new matrix with shape [filterWidth * filterHeight *\n    // inChannels, outHeight * outWidth]. The filter is also rearranged so each\n    // output channel forms a row of a new matrix with shape [outChannels,\n    // filterWidth * filterHeight * inChannels]. The convolution is then\n    // computed by multiplying these matrices and reshaping the result.\n    const {\n      filterWidth,\n      filterHeight,\n      inChannels,\n      outWidth,\n      outHeight,\n      dataFormat\n    } = convInfo;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n\n    const sharedDim = filterWidth * filterHeight * inChannels;\n    const numCols = outHeight * outWidth;\n    const x2ColShape = [sharedDim, numCols];\n    const transposeA = true;\n    const transposeB = false;\n\n    const xSqueezed = x.squeeze([0]);\n    const w2Row = filter.reshape([1, sharedDim, -1]);\n\n    const im2ColProgram =\n        new Im2ColPackedProgram(x2ColShape, xSqueezed.shape, convInfo);\n    const im2Col: Tensor3D =\n        this.compileAndRun<Tensor2D>(im2ColProgram, [xSqueezed]).reshape([\n          1, x2ColShape[0], x2ColShape[1]\n        ]);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const matmulProgram = new MatMulPackedProgram(\n        im2Col.shape, [1, numCols, convInfo.outChannels], transposeA,\n        transposeB, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [im2Col, w2Row];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    const product = this.compileAndRun<Tensor4D>(matmulProgram, inputs);\n\n    if (isChannelsLast) {\n      return product.reshape([1, outHeight, outWidth, convInfo.outChannels]);\n    } else {\n      return product.reshape([1, convInfo.outChannels, outHeight, outWidth]);\n    }\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && input.shape[0] === 1) {\n      return this.conv2dWithIm2Row(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, false) : null;\n    const program = new Conv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [input, filter];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun(program, inputs);\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(x, filter, convInfo);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && x.shape[0] === 1) {\n      return this.conv2dWithIm2Row(x, filter, convInfo);\n    }\n    const program = new Conv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new Conv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Conv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    const shouldPackDepthwiseConv = env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1;\n    const fusedActivation = activation ?\n        mapActivationToShaderProgram(activation, shouldPackDepthwiseConv) :\n        null;\n    const inputs: Tensor[] = [input, filter];\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    if (hasBias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (shouldPackDepthwiseConv) {\n      program = new DepthwiseConvPacked2DProgram(\n          convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n      return this.compileAndRun(program, inputs);\n    }\n\n    program = new DepthwiseConv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    return this.compileAndRun(program, inputs);\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1) {\n      program = new DepthwiseConvPacked2DProgram(convInfo);\n      return this.compileAndRun(program, [x, filter]);\n    }\n\n    program = new DepthwiseConv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const program = new Conv3DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x]);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const getPositions = true;\n    const maxPoolPositionsProgram =\n        new Pool2DProgram(convInfo, 'max', getPositions);\n    const maxPoolPositions: Tensor4D =\n        this.compileAndRun(maxPoolPositionsProgram, [x]);\n\n    const maxPoolBackPropProgram = new MaxPool2DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPoolBackPropProgram, [dy, maxPoolPositions], x.dtype);\n    maxPoolPositions.dispose();\n    return result as Tensor4D;\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const avgPoolBackpropProgram = new AvgPool2DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPoolBackpropProgram, [dy], x.dtype);\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const avgPool3dBackpropProgram = new AvgPool3DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPool3dBackpropProgram, [dy], x.dtype);\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const getPositions = true;\n    const maxPool3dPositionsProgram =\n        new Pool3DProgram(convInfo, 'max', getPositions);\n    const maxPool3dPositions: Tensor5D =\n        this.compileAndRun(maxPool3dPositionsProgram, [x]);\n    const maxPool3dBackPropProgram = new MaxPool3DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPool3dBackPropProgram, [dy, maxPool3dPositions], x.dtype);\n    maxPool3dPositions.dispose();\n    return result as Tensor5D;\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const texData = this.texData.get(x.dataId);\n    if (texData.isPacked && !webgl_util.isReshapeFree(x.shape, shape) &&\n        !(texData.texture !== null &&\n          webgl_util.isReshapeFree(texData.shape, shape))) {\n      const info = this.packedReshape(x, shape);\n      return ENGINE.makeTensorFromDataId(info.dataId, info.shape, info.dtype) as\n          Tensor<R>;\n    }\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_IMAGE_OPERATIONS') ?\n        new ResizeBilinearPackedProgram(\n            x.shape, newHeight, newWidth, alignCorners) :\n        new ResizeBilinearProgram(x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    const program = new ResizeBilinearBackpropProgram(dy, x, alignCorners);\n\n    return this.compileAndRun(program, [dy]);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = new ResizeNearestNeighborProgram(\n        x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x]);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    const program =\n        new ResizeNearestNeigborBackpropProgram(dy, x, alignCorners);\n    return this.compileAndRun(program, [dy]);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    const probs = normalized ? logits : softmax(logits);\n    const batchSize = probs.shape[0];\n    const numOutcomes = probs.shape[1];\n    const program = new MultinomialProgram(batchSize, numOutcomes, numSamples);\n    const customSetup = program.getCustomSetupFunc(seed);\n    return this.compileAndRun(program, [probs], 'int32', customSetup);\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    const program = new OneHotProgram(indices.size, depth, onValue, offValue);\n    return this.compileAndRun(program, [indices]);\n  }\n\n  diag(x: Tensor): Tensor {\n    const program = new DiagProgram(x.size);\n    return this.compileAndRun(program, [x]);\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n    const boxesVals = boxes.dataSync();\n    const scoresVals = scores.dataSync();\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    const program = new CropAndResizeProgram(\n        image.shape, boxes.shape, cropSize, method, extrapolationValue);\n    return this.compileAndRun(program, [image, boxes, boxIndex], 'float32');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = (dataFormat === 'NHWC') ? x.shape[1] : x.shape[2];\n    const inputWidth = (dataFormat === 'NHWC') ? x.shape[2] : x.shape[3];\n    const inputDepth = (dataFormat === 'NHWC') ? x.shape[3] : x.shape[1];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const outputShape = (dataFormat === 'NHWC') ?\n        [batchSize, outputHeight, outputWidth, outputDepth] :\n        [batchSize, outputDepth, outputHeight, outputWidth];\n\n    const program = new DepthToSpaceProgram(outputShape, blockSize, dataFormat);\n    return this.compileAndRun(program, [x]);\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n    const flattenIndices = indices.reshape([numUpdates, sliceRank]);\n    const flattenX = updates.reshape([numUpdates, sliceSize]);\n\n    if (outputSize === 0) {\n      return backend_util.reshapeTensor(tensor([]), shape);\n    }\n    const defaultValue = scalar(0);\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, flattenIndices.rank, flattenX.rank, strides,\n        flattenShape);\n    const res: Tensor =\n        this.compileAndRun(program, [flattenX, flattenIndices, defaultValue]);\n    return res.reshape(shape);\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n\n    const sumDupeIndices = false;\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, sparseIndices.rank, sparseValues.rank, strides,\n        [outputSize, 1], sumDupeIndices);\n    const res: Tensor = this.compileAndRun(\n        program, [sparseValues, sparseIndices, defaultValue]);\n    return res.reshape(outputShape);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    const inverse = false;\n    return this.fftImpl(x, inverse);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    const inverse = true;\n    return this.fftImpl(x, inverse);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const xData = this.texData.get(x.dataId);\n\n    const realProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.REAL, x.shape, inverse);\n    const imagProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.IMAG, x.shape, inverse);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    const real = this.compileAndRun<Tensor>(realProgram, inputs);\n    const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n    const complex = this.complex(real, imag).as2D(x.shape[0], x.shape[1]);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n\n    const flattenIndices = indices.reshape([numSlices, sliceRank]);\n    const flattenX = x.reshape([x.size / sliceSize, sliceSize]);\n    const program =\n        new GatherNDProgram(sliceRank, strides, [numSlices, sliceSize]);\n    const res: Tensor = this.compileAndRun(program, [flattenX, flattenIndices]);\n    return res.reshape(resultShape);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n\n    if (dtype === 'string') {\n      // String type should be handled in CPU memory.\n      const values = getArrayFromDType(dtype, sizeFromShape(shape));\n      values.fill(value as string);\n      return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n    } else {\n      const program = new FillProgram(shape, value as number);\n      const customSetup = program.getCustomSetupFunc(value as number);\n      return this.compileAndRun(program, [], dtype, customSetup);\n    }\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported under string dtype');\n    } else {\n      // TODO(cais, smilkov): Add WebGL shader for onesLike:\n      //   https://github.com/tensorflow/tfjs/issues/1293\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return this.fill(x.shape, x.dtype === 'string' ? '' : 0, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    // TODO: Use CPU implementation due to the precision problem in Safari.\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  makeTensorInfo(shape: number[], dtype: DataType): TensorInfo {\n    const dataId = this.write(null /* values */, shape, dtype);\n    this.texData.get(dataId).usage = null;\n    return {dataId, shape, dtype};\n  }\n\n  private makeOutput<T extends Tensor>(shape: number[], dtype: DataType): T {\n    const {dataId} = this.makeTensorInfo(shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  private unpackTensor(input: TensorInfo): TensorInfo {\n    const program = new UnpackProgram(input.shape);\n    return this.runWebGLProgram(program, [input], input.dtype);\n  }\n\n  private packTensor(input: TensorInfo): TensorInfo {\n    const program = new PackProgram(input.shape);\n    const preventEagerUnpackingOutput = true;\n    return this.runWebGLProgram(\n        program, [input], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOutput);\n  }\n\n  private packedReshape(input: TensorInfo, afterShape: number[]): TensorInfo {\n    const input3DShape = [\n      webgl_util.getBatchDim(input.shape),\n      ...webgl_util.getRowsCols(input.shape)\n    ] as [number, number, number];\n    const input3D: TensorInfo = {\n      dtype: input.dtype,\n      shape: input3DShape,\n      dataId: input.dataId\n    };\n    const afterShapeAs3D = [\n      webgl_util.getBatchDim(afterShape), ...webgl_util.getRowsCols(afterShape)\n    ] as [number, number, number];\n\n    const program = new ReshapePackedProgram(afterShapeAs3D, input3DShape);\n    const preventEagerUnpackingOfOutput = true;\n    const output = this.runWebGLProgram(\n        program, [input3D], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOfOutput);\n    return {dataId: output.dataId, shape: afterShape, dtype: output.dtype};\n  }\n\n  private decode(dataId: DataId): TensorInfo {\n    const texData = this.texData.get(dataId);\n    const {isPacked, shape, dtype} = texData;\n    const shapeAs3D =\n        webgl_util.getShapeAs3D(shape) as [number, number, number];\n    let program;\n    if (isPacked) {\n      program = new DecodeMatrixPackedProgram(shapeAs3D);\n    } else {\n      program = new DecodeMatrixProgram(shapeAs3D);\n    }\n    const preventEagerUnpackingOfOutput = true;\n    const out = this.runWebGLProgram(\n        program, [{shape: shapeAs3D, dtype, dataId}], dtype,\n        null /* customSetup */, preventEagerUnpackingOfOutput);\n    return {dtype, shape, dataId: out.dataId};\n  }\n\n  runWebGLProgram(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): TensorInfo {\n    const output = this.makeTensorInfo(program.outputShape, outputDtype);\n    const outData = this.texData.get(output.dataId);\n    if (program.packedOutput) {\n      outData.isPacked = true;\n    }\n    if (program.outPackingScheme === tex_util.PackingScheme.DENSE) {\n      const texelShape = tex_util.getDenseTexShape(program.outputShape);\n      // For a densely packed output, we explicitly set texShape\n      // so it doesn't get assigned later according to our typical packing\n      // scheme wherein a single texel can only contain values from adjacent\n      // rows/cols.\n      outData.texShape = texelShape.map(d => d * 2) as [number, number];\n    }\n    if (program.outTexUsage != null) {\n      outData.usage = program.outTexUsage;\n    }\n    if (sizeFromShape(output.shape) === 0) {\n      // Short-circuit the computation since the result is empty (has 0 in its\n      // shape).\n      outData.values = getTypedArrayFromDType(output.dtype as 'float32', 0);\n      return output;\n    }\n\n    const dataToDispose: TensorInfo[] = [];\n    const inputsData: TensorData[] = inputs.map(input => {\n      if (input.dtype === 'complex64') {\n        throw new Error(\n            `GPGPUProgram does not support complex64 input. For complex64 ` +\n            `dtypes, please separate the program into real and imaginary ` +\n            `parts.`);\n      }\n\n      let texData = this.texData.get(input.dataId);\n\n      if (texData.texture == null) {\n        if (!program.packedInputs &&\n            util.sizeFromShape(input.shape) <=\n                env().getNumber('WEBGL_SIZE_UPLOAD_UNIFORM')) {\n          // Upload small tensors that live on the CPU as uniforms, not as\n          // textures. Do this only when the environment supports 32bit floats\n          // due to problems when comparing 16bit floats with 32bit floats.\n          // TODO(https://github.com/tensorflow/tfjs/issues/821): Make it\n          // possible for packed shaders to sample from uniforms.\n          return {\n            shape: input.shape,\n            texData: null,\n            isUniform: true,\n            uniformValues: texData.values as TypedArray\n          };\n        }\n\n        // This ensures that if a packed program's inputs have not yet been\n        // uploaded to the GPU, they get uploaded as packed right off the bat.\n        if (program.packedInputs) {\n          texData.isPacked = true;\n          texData.shape = input.shape;\n        }\n      } else if (!!texData.isPacked !== !!program.packedInputs) {\n        input = texData.isPacked ? this.unpackTensor(input) :\n                                   this.packTensor(input);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n      } else if (\n          texData.isPacked &&\n          !webgl_util.isReshapeFree(texData.shape, input.shape)) {\n        // This is a special case where a texture exists for a tensor\n        // but the shapes are incompatible (due to packing constraints) because\n        // the tensor did not have a chance to go through the packed reshape\n        // shader. This only happens when we reshape the *same* tensor to form\n        // *distinct* inputs to an op, e.g. dotting a vector with itself. This\n        // case will disappear once packed uploading is the default.\n\n        const savedInput = input;\n        const targetShape = input.shape;\n\n        input.shape = texData.shape;\n        input = this.packedReshape(input as Tensor, targetShape);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n\n        savedInput.shape = targetShape;\n      }\n\n      this.uploadToGPU(input.dataId);\n      return {shape: input.shape, texData, isUniform: false};\n    });\n\n    this.uploadToGPU(output.dataId);\n    const outputData:\n        TensorData = {shape: output.shape, texData: outData, isUniform: false};\n    const key = gpgpu_math.makeShaderKey(program, inputsData, outputData);\n    const binary = this.getAndSaveBinary(key, () => {\n      return gpgpu_math.compileProgram(\n          this.gpgpu, program, inputsData, outputData);\n    });\n    const shouldTimeProgram = this.activeTimers != null;\n    let query: WebGLQuery|CPUTimerQuery;\n    if (shouldTimeProgram) {\n      query = this.startTimer();\n    }\n\n    gpgpu_math.runProgram(\n        this.gpgpu, binary, inputsData, outputData, customSetup);\n\n    dataToDispose.forEach(info => this.disposeData(info.dataId));\n\n    if (shouldTimeProgram) {\n      query = this.endTimer(query);\n      this.activeTimers.push(\n          {name: program.constructor.name, query: this.getQueryTime(query)});\n    }\n\n    if (!env().getBool('WEBGL_LAZILY_UNPACK') && outData.isPacked &&\n        preventEagerUnpackingOfOutput === false) {\n      const unpacked = this.unpackTensor(output);\n      this.disposeData(output.dataId);\n      return unpacked;\n    }\n    return output;\n  }\n\n  compileAndRun<K extends TensorInfo>(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype?: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): K {\n    outputDtype = outputDtype || inputs[0].dtype;\n    const outInfo = this.runWebGLProgram(\n        program, inputs, outputDtype, customSetup,\n        preventEagerUnpackingOfOutput);\n    return ENGINE.makeTensorFromDataId(\n               outInfo.dataId, outInfo.shape, outInfo.dtype) as {} as K;\n  }\n\n  private getAndSaveBinary(key: string, getBinary: () => GPGPUBinary):\n      GPGPUBinary {\n    if (!(key in this.binaryCache)) {\n      this.binaryCache[key] = getBinary();\n    }\n    return this.binaryCache[key];\n  }\n\n  getTextureManager(): TextureManager {\n    return this.textureManager;\n  }\n\n  private disposed = false;\n\n  dispose() {\n    if (this.disposed) {\n      return;\n    }\n    // Avoid disposing the compiled webgl programs during unit testing because\n    // it slows down test execution.\n    if (!env().getBool('IS_TEST')) {\n      const allKeys = Object.keys(this.binaryCache);\n      allKeys.forEach(key => {\n        this.gpgpu.deleteProgram(this.binaryCache[key].webGLProgram);\n        delete this.binaryCache[key];\n      });\n    }\n    this.textureManager.dispose();\n    if (this.canvas != null &&\n        (typeof (HTMLCanvasElement) !== 'undefined' &&\n         this.canvas instanceof HTMLCanvasElement)) {\n      this.canvas.remove();\n    } else {\n      this.canvas = null;\n    }\n    if (this.gpgpuCreatedLocally) {\n      this.gpgpu.program = null;\n      this.gpgpu.dispose();\n    }\n    this.disposed = true;\n  }\n\n  floatPrecision(): 16|32 {\n    if (this.floatPrecisionValue == null) {\n      this.floatPrecisionValue = tidy(() => {\n        if (!env().get('WEBGL_RENDER_FLOAT32_ENABLED')) {\n          // Momentarily switching DEBUG flag to false so we don't throw an\n          // error trying to upload a small value.\n          const debugFlag = env().getBool('DEBUG');\n          env().set('DEBUG', false);\n          const underflowCheckValue = this.abs(scalar(1e-8)).dataSync()[0];\n          env().set('DEBUG', debugFlag);\n\n          if (underflowCheckValue > 0) {\n            return 32;\n          }\n        }\n        return 16;\n      });\n    }\n    return this.floatPrecisionValue;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  private uploadToGPU(dataId: DataId): void {\n    const texData = this.texData.get(dataId);\n    const {shape, dtype, values, texture, usage, isPacked} = texData;\n\n    if (texture != null) {\n      // Array is already on GPU. No-op.\n      return;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let texShape = texData.texShape;\n    if (texShape == null) {\n      texShape = webgl_util.getTextureShapeFromLogicalShape(shape, isPacked);\n      texData.texShape = texShape;\n    }\n\n    if (values != null) {\n      const shapeAs3D = webgl_util.getShapeAs3D(shape);\n\n      let program;\n      let width = texShape[1], height = texShape[0];\n      const isByteArray = values instanceof Uint8Array;\n\n      if (isPacked) {\n        [width, height] = tex_util.getPackedMatrixTextureShapeWidthHeight(\n            texShape[0], texShape[1]);\n        program = new EncodeMatrixPackedProgram(\n            shapeAs3D, [height, width], isByteArray);\n      } else {\n        program =\n            new EncodeMatrixProgram(shapeAs3D, [height, width], isByteArray);\n      }\n\n      const tempDenseInputHandle = this.makeTensorInfo([height, width], dtype);\n      if (isByteArray) {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.PIXELS;\n      } else {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.UPLOAD;\n      }\n      this.gpgpu.uploadDenseMatrixToTexture(\n          this.getTexture(tempDenseInputHandle.dataId), width, height,\n          values as TypedArray);\n\n      // We want the output to remain packed regardless of the value of\n      // WEBGL_PACK.\n      const preventEagerUnpacking = true;\n      const encodedOutputTarget = this.runWebGLProgram(\n          program, [tempDenseInputHandle], dtype, null, preventEagerUnpacking);\n\n      // Have the original texture assume the identity of the encoded output.\n      const outputTexData = this.texData.get(encodedOutputTarget.dataId);\n      texData.texture = outputTexData.texture;\n      texData.texShape = outputTexData.texShape;\n      texData.isPacked = outputTexData.isPacked;\n      texData.usage = outputTexData.usage;\n\n      this.disposeData(tempDenseInputHandle.dataId);\n      this.texData.delete(encodedOutputTarget.dataId);\n\n      // Once uploaded, don't store the values on cpu.\n      texData.values = null;\n      if (shouldTimeProgram) {\n        this.uploadWaitMs += util.now() - start;\n      }\n    } else {\n      const newTexture = this.acquireTexture(texShape, usage, dtype, isPacked);\n      texData.texture = newTexture;\n    }\n  }\n\n  private convertAndCacheOnCPU(dataId: DataId, float32Values?: Float32Array):\n      TypedArray {\n    const texData = this.texData.get(dataId);\n    const {dtype} = texData;\n\n    this.releaseGPUData(dataId);\n\n    if (float32Values != null) {\n      texData.values = float32ToTypedArray(float32Values, dtype as 'float32');\n    }\n    return texData.values as TypedArray;\n  }\n\n  private acquireTexture(\n      texShape: [number, number], texType: TextureUsage, dtype: DataType,\n      isPacked: boolean): WebGLTexture {\n    this.numBytesInGPU += this.computeBytes(texShape, dtype);\n    if (!this.warnedAboutMemory &&\n        this.numBytesInGPU > this.numMBBeforeWarning * 1024 * 1024) {\n      const mb = (this.numBytesInGPU / 1024 / 1024).toFixed(2);\n      this.warnedAboutMemory = true;\n      console.warn(\n          `High memory usage in GPU: ${mb} MB, ` +\n          `most likely due to a memory leak`);\n    }\n    return this.textureManager.acquireTexture(texShape, texType, isPacked);\n  }\n\n  private computeBytes(shape: [number, number], dtype: DataType) {\n    return shape[0] * shape[1] * util.bytesPerElement(dtype);\n  }\n}\n\nif (device_util.isBrowser()) {\n  ENGINE.registerBackend(\n      'webgl', () => new MathBackendWebGL(), 2 /* priority */);\n}\n\nfunction float32ToTypedArray<D extends NumericDataType>(\n    a: Float32Array, dtype: D): DataTypeMap[D] {\n  if (dtype === 'float32' || dtype === 'complex64') {\n    return a as DataTypeMap[D];\n  } else if (dtype === 'int32' || dtype === 'bool') {\n    const result = (dtype === 'int32') ? new Int32Array(a.length) :\n                                         new Uint8Array(a.length);\n    for (let i = 0; i < result.length; ++i) {\n      result[i] = Math.round(a[i]);\n    }\n    return result as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {nearestDivisor} from '../util';\n\nimport {PARALLELIZE_THRESHOLD} from './reduce_util';\n\nexport interface SegOpInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n  numSegments: number;\n}\n\nexport function segOpComputeOptimalWindowSize(\n    inSize: number, numSegments: number): number {\n  let done = false;\n  let res;\n\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    res = inSize;\n    done = true;\n  } else {\n    res = nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n  }\n\n  while (!done) {\n    if (res > numSegments || res === inSize) {\n      done = true;\n    } else {\n      res = nearestDivisor(inSize, res + 1);\n    }\n  }\n  return res;\n}\n\nexport function computeOutShape(\n    aShape: number[], axis: number, numSegments: number): number[] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (dim !== axis) {\n      outShape.push(aShape[dim]);\n    } else {\n      outShape.push(numSegments);\n    }\n  }\n  return outShape;\n}\n\nexport interface GatherOpShapeInfo {\n  batchSize: number;\n  sliceSize: number;\n  dimSize: number;\n  outputShape: number[];\n}\nexport function collectGatherOpShapeInfo(\n    x: Tensor, indices: Tensor, axis: number): GatherOpShapeInfo {\n  const dimSize = x.shape[axis];\n\n  const outputShape: number[] = [];\n  let batchSize = 1;\n  let sliceSize = 1;\n  for (let i = 0; i < axis; i++) {\n    outputShape.push(x.shape[i]);\n    batchSize *= x.shape[i];\n  }\n\n  for (let i = 0; i < indices.rank; i++) {\n    outputShape.push(indices.shape[i]);\n  }\n\n  for (let i = axis + 1; i < x.rank; i++) {\n    outputShape.push(x.shape[i]);\n    sliceSize *= x.shape[i];\n  }\n\n  return {batchSize, sliceSize, dimSize, outputShape};\n}\n","// A port of an algorithm by Johannes Baagøe <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baagøe <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorshift7\" algorithm by\n// François Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n","// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n","// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n","// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baagøe.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by François Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {AddNInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Adds a list of `tf.Tensor`s element-wise, each with the same shape and dtype.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n *\n * tf.addN([a, b, c]).print();\n * ```\n * @param tensors A list of tensors with the same shape and dtype.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction addN_<T extends Tensor>(tensors: Array<T|TensorLike>): T {\n  util.assert(\n      Array.isArray(tensors),\n      () => 'The argument passed to tf.addN() must be a list of tensors');\n  util.assert(\n      tensors.length >= 1,\n      () => `Must pass at least one tensor to tf.addN(), but got ` +\n          `${tensors.length}`);\n\n  const $tensors =\n      tensors.map((t, i) => convertToTensor(t, `tensors${i}`, 'addN'));\n\n  const firstTensor = $tensors[0];\n  $tensors.forEach(t => {\n    if (t.dtype !== firstTensor.dtype) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same dtype');\n    }\n  });\n\n  $tensors.forEach(t => {\n    if (!util.arraysEqual(t.shape, firstTensor.shape)) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same shape');\n    }\n  });\n\n  const forward: ForwardFunc<Tensor> = (backend, save) =>\n      backend.addN($tensors);\n\n  const inputs: AddNInputs = $tensors;\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* grad */,\n             'AddN') as T;\n}\n\nexport const addN = op({addN_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {deprecationWarn} from '../globals';\nimport {Tensor, Tensor4D} from '../tensor';\nimport {Rank} from '../types';\n\nexport function warnDeprecation(): void {\n  deprecationWarn(\n      'tf.batchNormalization() is going away. ' +\n      'Use tf.batchNorm() instead, and note the positional argument change ' +\n      'of scale, offset, and varianceEpsilon');\n}\n\nexport function xAs4D<R extends Rank>(x: Tensor<R>) {\n  let x4D: Tensor4D;\n  if (x.rank === 0 || x.rank === 1) {\n    x4D = x.as4D(1, 1, 1, x.size);\n  } else if (x.rank === 2) {\n    x4D = x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  } else {\n    x4D = x as Tensor4D;\n  }\n\n  return x4D;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {FusedBatchNormAttrs, FusedBatchNormInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor, Tensor1D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {warnDeprecation, xAs4D} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * @deprecated Please use `tf.batchNorm` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n  warnDeprecation();\n  return batchNorm_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n/**\n * Batch normalization.\n *\n * As described in\n * [http://arxiv.org/abs/1502.03167](http://arxiv.org/abs/1502.03167).\n *\n * Mean, variance, scale, and offset can be of two shapes:\n *   - The same shape as the input.\n *   - In the common case, the depth dimension is the last dimension of x, so\n *     the values would be an `tf.Tensor1D` of shape [depth].\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that parameters passed are of given rank\n *   - `tf.batchNorm2d`\n *   - `tf.batchNorm3d`\n *   - `tf.batchNorm4d`\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction batchNorm_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor<R> {\n  if (varianceEpsilon == null) {\n    varianceEpsilon = 0.001;\n  }\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor<R>|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor<R>|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n\n  util.assert(\n      $mean.rank === $variance.rank,\n      () => 'Batch normalization gradient requires mean and variance to have ' +\n          'equal ranks.');\n  util.assert(\n      $offset == null || $mean.rank === $offset.rank,\n      () => 'Batch normalization gradient requires mean and offset to have ' +\n          'equal ranks.');\n  util.assert(\n      $scale == null || $mean.rank === $scale.rank,\n      () => 'Batch normalization gradient requires mean and scale to have ' +\n          'equal ranks.');\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const x4D: Tensor4D = xAs4D($x);\n\n    const res = backend.batchNormalization(\n        x4D, as1DOr4D($mean), as1DOr4D($variance), varianceEpsilon,\n        as1DOr4D($scale), as1DOr4D($offset));\n\n    save([$x, $mean, $variance, $scale]);\n\n    return res;\n  };\n\n  const inputs: FusedBatchNormInputs =\n      {x: $x, scale: $scale, offset: $offset, mean: $mean, variance: $variance};\n\n  const attrs: FusedBatchNormAttrs = {varianceEpsilon};\n\n  const res = ENGINE.runKernelFunc(\n      forward, inputs as {} as NamedTensorMap, null /* gradient */,\n      'FusedBatchNorm', attrs as {} as NamedAttrMap);\n\n  return res.reshape($x.shape);\n}\n\nfunction as1DOr4D(x: Tensor): Tensor4D|Tensor1D {\n  if (x == null) {\n    return null;\n  }\n  if (x.rank === 0) {\n    return x.as1D();\n  } else if (x.rank === 1) {\n    return x as Tensor1D;\n  } else if (x.rank === 2) {\n    return x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    return x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  return x as Tensor4D;\n}\n\n// todo(yassogba): Remove batchNormalization since it is deprecated.\nexport const batchNormalization = op({batchNormalization_});\nexport const batchNorm = op({batchNorm_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 2D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike, scale?: Tensor2D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor2D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor2D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 2,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 2 || $mean.rank === 1,\n      () => `Error in batchNorm2D: mean must be rank 2 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 2 || $variance.rank === 1,\n      () => `Error in batchNorm2D: variance must be rank 2 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 2 || $scale.rank === 1,\n        () => `Error in batchNorm2D: scale must be rank 2 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 2 || $offset.rank === 1,\n        () => `Error in batchNorm2D: offset must be rank 2 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm2d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike): Tensor2D {\n  warnDeprecation();\n  return batchNorm2d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization2d since it is deprecated.\nexport const batchNormalization2d = op({batchNormalization2d_});\nexport const batchNorm2d = op({batchNorm2d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 3D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike, scale?: Tensor3D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor3D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor3D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 3,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 3 || $mean.rank === 1,\n      () => `Error in batchNorm3D: mean must be rank 3 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 3 || $variance.rank === 1,\n      () => `Error in batchNorm3D: variance must be rank 3 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 3 || $scale.rank === 1,\n        () => `Error in batchNorm3D: scale must be rank 3 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 3 || $offset.rank === 1,\n        () => `Error in batchNorm3D: offset must be rank 3 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm3d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike): Tensor3D {\n  warnDeprecation();\n  return batchNorm3d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization3d since it is deprecated.\nexport const batchNormalization3d = op({batchNormalization3d_});\nexport const batchNorm3d = op({batchNorm3d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 4D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike, scale?: Tensor4D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor4D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor4D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 4,\n      () => `Error in batchNorm4D: x must be rank 4 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 4 || $mean.rank === 1,\n      () => `Error in batchNorm4D: mean must be rank 4 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 4 || $variance.rank === 1,\n      () => `Error in batchNorm4D: variance must be rank 4 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 4 || $scale.rank === 1,\n        () => `Error in batchNorm4D: scale must be rank 4 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 4 || $offset.rank === 1,\n        () => `Error in batchNorm4D: offset must be rank 4 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm4d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike): Tensor4D {\n  warnDeprecation();\n  return batchNorm4d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization4d since it is deprecated.\nexport const batchNormalization4d = op({batchNormalization4d_});\nexport const batchNorm4d = op({batchNorm4d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from '../backends/backend';\nimport {ENGINE} from '../engine';\nimport {BroadcastTo, BroadCastToAttrs, BroadcastToInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Broadcast an array to a compatible shape NumPy-style.\n *\n * The tensor's shape is compared to the broadcast shape from end to beginning.\n * Ones are prepended to the tensor's shape until is has the same length as\n * the broadcast shape. If input.shape[i]==shape[i], the (i+1)-th axis is\n * already broadcast-compatible. If input.shape[i]==1 and shape[i]==N, then\n * the input tensor is tiled N times along that axis (using tf.tile).\n *\n * @param input The tensor that is to be broadcasted.\n * @param shape The input is to be broadcast to this shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction broadcastTo_<R extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R]): Tensor<R> {\n  let input = convertToTensor(x, 'broadcastTo', 'x');\n  const xShape = input.shape;\n\n  if (shape.some(d => !(d > 0) || d % 1 !== 0)) {\n    throw new Error(`broadcastTo(): Invalid broadcast shape [${shape}].`);\n  }\n\n  if (shape.length < input.rank) {\n    throw new Error(`broadcastTo(): shape.length=${shape.length} < input.rank=${\n        input.rank}.`);\n  }\n\n  if (shape.length > input.rank) {\n    const newShape = input.shape.slice();\n    while (newShape.length < shape.length) {\n      newShape.unshift(1);\n    }\n    input = input.reshape(newShape);\n  }\n\n  const inputShape = input.shape;\n  const reps: number[] = Array.from(shape);\n  for (let i = shape.length - 1; i >= 0; i--) {\n    if (inputShape[i] === shape[i]) {\n      reps[i] = 1;\n    } else if (input.shape[i] !== 1) {\n      throw new Error(\n          `broadcastTo(): [${xShape}] cannot be broadcast to [${shape}].`);\n    }\n  }\n  const axes = reps.map((n, i) => n > 1 ? i : -1).filter(i => i >= 0);\n\n  if (axes.length === 0) {\n    return input.clone() as Tensor<R>;\n  }\n\n  const forward = (backend: KernelBackend) => backend.tile(input, reps);\n  const keepDims = true;\n  const backward = (dy: Tensor) => ({x: () => dy.sum(axes, keepDims)});\n\n  const inputs: BroadcastToInputs = {x: input};\n  const attrs: BroadCastToAttrs = {shape, inputShape};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as unknown as NamedTensorMap, backward,\n             BroadcastTo, attrs as unknown as NamedAttrMap) as Tensor<R>;\n}\n\nexport const broadcastTo = op({broadcastTo_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Identity} from '../kernel_names';\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Creates a new tensor with the same values and shape as the specified\n * tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n *\n * x.clone().print();\n * ```\n *\n * @param x The tensor to clone.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction clone_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'clone', null);\n  const forward = () =>\n      ENGINE.makeTensorFromDataId($x.dataId, $x.shape, $x.dtype) as T;\n\n  // Note this op is called tf.identity in python. Hence the kernel name used\n  // here.\n  return ENGINE.runKernelFunc(forward, {x: $x}, null /* grad */, Identity);\n}\n\nexport const clone = op({clone_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {whereImpl} from '../backends/where_impl';\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of `NOT x` element-wise.\n *\n * ```js\n * const a = tf.tensor1d([false, true], 'bool');\n *\n * a.logicalNot().print();\n * ```\n *\n * @param x The input tensor. Must be of dtype 'bool'.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalNot_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logicalNot', 'bool');\n  return ENGINE.runKernelFunc(backend => backend.logicalNot($x), {$x});\n}\n\n/**\n * Returns the truth value of `a AND b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalAnd(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalAnd_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalAnd', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalAnd', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.logicalAnd($a, $b), {a: $a, b: $b},\n             null /* grad */, 'LogicalAnd') as T;\n}\n\n/**\n * Returns the truth value of `a OR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalOr(b).print();\n * ```\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalOr_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalOr', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalOr', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.logicalOr($a, $b), {$a, $b}) as\n      T;\n}\n\n/**\n * Returns the truth value of `a XOR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalXor(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalXor_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalXor', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalXor', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  // x ^ y = (x | y) & ~(x & y)\n  return logicalOr(a, b).logicalAnd(logicalAnd(a, b).logicalNot()) as T;\n}\n\n/**\n * Returns the elements, either `a` or `b` depending on the `condition`.\n *\n * If the condition is true, select from `a`, otherwise select from `b`.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const a = tf.tensor1d([1 , 2, 3]);\n * const b = tf.tensor1d([-1, -2, -3]);\n *\n * a.where(cond, b).print();\n * ```\n *\n * @param condition The input condition. Must be of dtype bool.\n * @param a If `condition` is rank 1, `a` may have a higher rank but\n *     its first dimension must match the size of `condition`.\n * @param b A tensor with the same shape and type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction where_<T extends Tensor>(\n    condition: Tensor|TensorLike, a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'where');\n  const $b = convertToTensor(b, 'b', 'where');\n  const $condition = convertToTensor(condition, 'condition', 'where', 'bool');\n\n  assertShapesMatch($a.shape, $b.shape, 'Error in where: ');\n\n  if ($condition.rank === 1) {\n    // If condition rank is 1, then the first dimension must match the size of\n    // condition.\n    assert(\n        $condition.shape[0] === $a.shape[0],\n        () => 'The first dimension of `a` must match the size of `condition`.');\n  } else {\n    // A must have the same shape as condition.\n    assertShapesMatch($condition.shape, $b.shape, 'Error in where: ');\n  }\n\n  // TODO(julianoks): Return null for condition gradient\n  // when backprop supports it.\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$condition] = saved;\n    return {\n      $condition: () => zerosLike($condition).toFloat(),\n      $a: () => dy.mul($condition.cast(dy.dtype)),\n      $b: () => dy.mul($condition.logicalNot().cast(dy.dtype))\n    } as {$a: () => T, $b: () => T, $condition: () => T};\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.select($condition, $a, $b);\n    save([$condition]);\n    return res;\n  }, {$condition, $a, $b}, grad) as T;\n}\n\n/**\n * Returns the coordinates of true elements of condition.\n *\n * The coordinates are returned in a 2-D tensor where the first dimension (rows)\n * represents the number of true elements, and the second dimension (columns)\n * represents the coordinates of the true elements. Keep in mind, the shape of\n * the output tensor can vary depending on how many true values there are in\n * input. Indices are output in row-major order. The resulting tensor has the\n * shape `[numTrueElems, condition.rank]`.\n *\n * This is analogous to calling the python `tf.where(cond)` without an x or y.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const result = await tf.whereAsync(cond);\n * result.print();\n * ```\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nasync function whereAsync_(condition: Tensor|TensorLike): Promise<Tensor2D> {\n  const $condition =\n      convertToTensor(condition, 'condition', 'whereAsync', 'bool');\n  const vals = await $condition.data();\n  const res = whereImpl($condition.shape, vals);\n  if (condition !== $condition) {\n    $condition.dispose();\n  }\n  return res;\n}\n\nexport const logicalAnd = op({logicalAnd_});\nexport const logicalNot = op({logicalNot_});\nexport const logicalOr = op({logicalOr_});\nexport const logicalXor = op({logicalXor_});\nexport const where = op({where_});\nexport const whereAsync = whereAsync_;\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {div} from './div';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting. Return 0\n * if denominator is 0.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n * const c = tf.tensor1d([0, 0, 0, 0]);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n * const c = tf.scalar(0);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction divNoNan_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  // TODO: Make this into its own kernel.\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const divResult = div($a, $b);\n  const zeros = zerosLike(divResult);\n  const bEqualsZero = $b.equal(zeros);\n  return where(bEqualsZero, zeros, divResult) as T;\n}\n\nexport const divNoNan = op({divNoNan_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tile, TileAttrs, TileInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {DataType, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Construct a tensor by repeating it the number of times given by reps.\n *\n * This operation creates a new tensor by replicating `input` `reps`\n * times. The output tensor's i'th dimension has `input.shape[i] *\n * reps[i]` elements, and the values of `input` are replicated\n * `reps[i]` times along the i'th dimension. For example, tiling\n * `[a, b, c, d]` by `[2]` produces `[a, b, c, d, a, b, c, d]`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n *\n * a.tile([2]).print();    // or a.tile([2])\n * ```\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.tile([1, 2]).print();  // or a.tile([1, 2])\n * ```\n * @param x The tensor to tile.\n * @param reps Determines the number of replications per dimension.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction tile_<T extends Tensor>(x: T|TensorLike, reps: number[]): T {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'tile', parseAs);\n  util.assert(\n      $x.rank === reps.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of reps ${reps}.`);\n\n  const forward: ForwardFunc<T> = (backend, save) => {\n    const res = backend.tile($x, reps);\n    save([$x]);\n    return res;\n  };\n\n  const inputsToSave = [$x];\n  const inputs: TileInputs = {x: $x};\n  const attrs: TileAttrs = {reps};\n\n  return ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, Tile,\n      attrs as unknown as NamedAttrMap, inputsToSave);\n}\n\nexport const tile = op({tile_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor2D} from '../tensor';\nimport {DataType} from '../types';\n\nimport {buffer, expandDims} from './array_ops';\nimport {op} from './operation';\nimport {tile} from './tile';\n\n/**\n * Create an identity matrix.\n *\n * @param numRows Number of rows.\n * @param numColumns Number of columns. Defaults to `numRows`.\n * @param batchShape If provided, will add the batch shape to the beginning\n *   of the shape of the returned `tf.Tensor` by repeating the identity\n *   matrix.\n * @param dtype Data type.\n * @returns Identity matrix of the specified size and data type, possibly\n *   with batch repetition if `batchShape` is specified.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction eye_(\n    numRows: number, numColumns?: number,\n    batchShape?:\n        [\n          number\n        ]|[number,\n           number]|[number, number, number]|[number, number, number, number],\n    dtype: DataType = 'float32'): Tensor2D {\n  if (numColumns == null) {\n    numColumns = numRows;\n  }\n  const buff = buffer([numRows, numColumns], dtype);\n  const n = numRows <= numColumns ? numRows : numColumns;\n  for (let i = 0; i < n; ++i) {\n    buff.set(1, i, i);\n  }\n  const out = buff.toTensor().as2D(numRows, numColumns);\n  if (batchShape == null) {\n    return out;\n  } else {\n    if (batchShape.length === 1) {\n      return tile(expandDims(out, 0), [batchShape[0], 1, 1]);\n    } else if (batchShape.length === 2) {\n      return tile(\n          expandDims(expandDims(out, 0), 0),\n          [batchShape[0], batchShape[1], 1, 1]);\n    } else if (batchShape.length === 3) {\n      return tile(\n          expandDims(expandDims(expandDims(out, 0), 0), 0),\n          [batchShape[0], batchShape[1], batchShape[2], 1, 1]);\n    } else {\n      throw new Error(\n          `eye() currently supports only 1D and 2D ` +\n          // tslint:disable-next-line:no-any\n          `batchShapes, but received ${(batchShape as any).length}D.`);\n    }\n  }\n}\n\nexport const eye = op({eye_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with values drawn from a multinomial distribution.\n *\n * ```js\n * const probs = tf.tensor([.75, .25]);\n * tf.multinomial(probs, 3).print();\n * ```\n *\n * @param logits 1D array with unnormalized log-probabilities, or\n *     2D array of shape `[batchSize, numOutcomes]`. See the `normalized`\n *     parameter.\n * @param numSamples Number of samples to draw for each row slice.\n * @param seed The seed number.\n * @param normalized Whether the provided `logits` are normalized true\n *     probabilities (sum to 1). Defaults to false.\n * @return 1D array of shape `[numSamples]`, or 2D array of shape\n *     `[batchSize, numSamples]`, depending on the rank of the input.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction multinomial_(\n    logits: Tensor1D|Tensor2D|TensorLike, numSamples: number, seed?: number,\n    normalized = false): Tensor1D|Tensor2D {\n  const $logits = convertToTensor(logits, 'logits', 'multinomial');\n  const numOutcomes = $logits.size;\n  const origRank = $logits.rank;\n  if (numOutcomes < 2) {\n    throw new Error(\n        `Error in multinomial: you need at least 2 outcomes, but got ` +\n        `${numOutcomes}.`);\n  }\n  if (origRank > 2) {\n    throw new Error(`Rank of probabilities must be 1 or 2, but is ${origRank}`);\n  }\n  seed = seed || Math.random();\n  const logits2D = origRank === 1 ? $logits.as2D(1, -1) : $logits as Tensor2D;\n  const res = ENGINE.runKernelFunc(\n      backend => backend.multinomial(logits2D, normalized, numSamples, seed),\n      {logits2D});\n  return origRank === 1 ? res.as1D() : res;\n}\n\nexport const multinomial = op({multinomial_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {OneHot, OneHotAttrs, OneHotInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Creates a one-hot `tf.Tensor`. The locations represented by `indices` take\n * value `onValue` (defaults to 1), while all other locations take value\n * `offValue` (defaults to 0). If `indices` is rank `R`, the output has rank\n * `R+1` with the last axis of size `depth`.\n *\n * ```js\n * tf.oneHot(tf.tensor1d([0, 1], 'int32'), 3).print();\n * ```\n *\n * @param indices `tf.Tensor` of indices with dtype `int32`.\n * @param depth The depth of the one hot dimension.\n * @param onValue A number used to fill in the output when the index matches\n * the location.\n * @param offValue A number used to fill in the output when the index does\n *     not match the location.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction oneHot_(\n    indices: Tensor|TensorLike, depth: number, onValue = 1,\n    offValue = 0): Tensor {\n  if (depth < 2) {\n    throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);\n  }\n  let $indices = convertToTensor(indices, 'indices', 'oneHot', 'int32');\n  const outShape = [...$indices.shape, depth];\n  $indices = $indices.flatten();\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    save([$indices]);\n    return backend.oneHot($indices as Tensor1D, depth, onValue, offValue);\n  };\n\n  const inputs: OneHotInputs = {indices: $indices};\n  const attrs: OneHotAttrs = {depth, onValue, offValue};\n\n  const result = ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, OneHot,\n      attrs as unknown as NamedAttrMap);\n  return result.reshape(outShape);\n}\n\nexport const oneHot = op({oneHot_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {PadV2, PadV2Attrs, PadV2Inputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Pads a `tf.Tensor` with a given value and paddings.\n *\n * This operation currently only implements the `CONSTANT` mode.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `paddings` is of given length.\n *   - `tf.pad1d`\n *   - `tf.pad2d`\n *   - `tf.pad3d`\n *   - `tf.pad4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.pad([[1, 2]]).print();\n * ```\n * @param x The tensor to pad.\n * @param paddings An array of length `R` (the rank of the tensor), where\n * each element is a length-2 tuple of ints `[padBefore, padAfter]`,\n * specifying how much to pad along each dimension of the tensor.\n * @param constantValue The pad value to use. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction pad_<T extends Tensor>(\n    x: T|TensorLike, paddings: Array<[number, number]>, constantValue = 0): T {\n  const $x = convertToTensor(x, 'x', 'pad');\n  if ($x.rank === 0) {\n    throw new Error('pad(scalar) is not defined. Pass non-scalar to pad');\n  }\n  const forward: ForwardFunc<T> = (backend, save) => {\n    save([$x]);\n    return backend.pad($x, paddings, constantValue);\n  };\n\n  const attrs: PadV2Attrs = {paddings, constantValue};\n  const inputs: PadV2Inputs = {x: $x};\n  return ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, PadV2,\n      attrs as unknown as NamedAttrMap);\n}\n\nexport const pad = op({pad_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor1D` with a given value and paddings. See `pad` for details.\n */\nfunction pad1d_(\n    x: Tensor1D|TensorLike, paddings: [number, number],\n    constantValue = 0): Tensor1D {\n  assert(\n      paddings.length === 2,\n      () => 'Invalid number of paddings. Must be length of 2.');\n  return pad(x, [paddings], constantValue);\n}\n\nexport const pad1d = op({pad1d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor2D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor2D` with a given value and paddings. See `pad` for details.\n */\nfunction pad2d_(\n    x: Tensor2D|TensorLike, paddings: [[number, number], [number, number]],\n    constantValue = 0): Tensor2D {\n  assert(\n      paddings.length === 2 && paddings[0].length === 2 &&\n          paddings[1].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad2d = op({pad2d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor3D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor3D` with a given value and paddings. See `pad` for details.\n */\nfunction pad3d_(\n    x: Tensor3D|TensorLike,\n    paddings: [[number, number], [number, number], [number, number]],\n    constantValue = 0): Tensor3D {\n  assert(\n      paddings.length === 3 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad3d = op({pad3d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor4D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor4D` with a given value and paddings. See `pad` for details.\n */\nfunction pad4d_(\n    x: Tensor4D|TensorLike,\n    paddings:\n        [\n          [number, number], [number, number], [number, number], [number, number]\n        ],\n    constantValue = 0): Tensor4D {\n  assert(\n      paddings.length === 4 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2 &&\n          paddings[3].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad4d = op({pad4d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a random number generator\n * function defined by the user.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param randFunction A random number generator function which is called\n * for each element in the output tensor.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\nfunction rand_<R extends Rank>(\n    shape: ShapeMap[R], randFunction: () => number,\n    dtype?: DataType): Tensor<R> {\n  const size = sizeFromShape(shape);\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  for (let i = 0; i < size; i++) {\n    values[i] = randFunction();\n  }\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\nexport const rand = op({rand_});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {inferShape} from './tensor_util_env';\nimport {RecursiveArray, TensorLike, TypedArray} from './types';\nimport {arraysEqual, flatten, isString, isTypedArray} from './util';\n\nconst TEST_EPSILON_FLOAT32 = 1e-3;\nexport const TEST_EPSILON_FLOAT16 = 1e-1;\n\nexport function expectArraysClose(\n    actual: TypedArray|number|RecursiveArray<number>,\n    expected: TypedArray|number|RecursiveArray<number>, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, epsilon));\n}\n\nexport function testEpsilon() {\n  return ENGINE.backend.floatPrecision() === 32 ? TEST_EPSILON_FLOAT32 :\n                                                  TEST_EPSILON_FLOAT16;\n}\n\nfunction expectArraysPredicate(\n    actual: TensorLike, expected: TensorLike,\n    predicate: (a: {}, b: {}) => boolean) {\n  let checkClassType = true;\n  if (isTypedArray(actual) || isTypedArray(expected)) {\n    checkClassType = false;\n  }\n  if (isTypedArray(actual) && isTypedArray(expected)) {\n    checkClassType = true;\n  }\n  if (checkClassType) {\n    const aType = actual.constructor.name;\n    const bType = expected.constructor.name;\n\n    if (aType !== bType) {\n      throw new Error(\n          `Arrays are of different type. Actual: ${aType}. ` +\n          `Expected: ${bType}`);\n    }\n  }\n\n  if (Array.isArray(actual) && Array.isArray(expected)) {\n    const actualShape = inferShape(actual);\n    const expectedShape = inferShape(expected);\n    if (!arraysEqual(actualShape, expectedShape)) {\n      throw new Error(\n          `Arrays have different shapes. ` +\n          `Actual: [${actualShape}]. Expected: [${expectedShape}]`);\n    }\n  }\n\n  const actualFlat =\n      isTypedArray(actual) ? actual : flatten(actual as RecursiveArray<number>);\n  const expectedFlat = isTypedArray(expected) ?\n      expected :\n      flatten(expected as RecursiveArray<number>);\n\n  if (actualFlat.length !== expectedFlat.length) {\n    throw new Error(\n        `Arrays have different lengths actual: ${actualFlat.length} vs ` +\n        `expected: ${expectedFlat.length}.\\n` +\n        `Actual:   ${actualFlat}.\\n` +\n        `Expected: ${expectedFlat}.`);\n  }\n  for (let i = 0; i < expectedFlat.length; ++i) {\n    const a = actualFlat[i];\n    const e = expectedFlat[i];\n\n    if (!predicate(a, e)) {\n      throw new Error(\n          `Arrays differ: actual[${i}] = ${a}, expected[${i}] = ${e}.\\n` +\n          `Actual:   ${actualFlat}.\\n` +\n          `Expected: ${expectedFlat}.`);\n    }\n  }\n}\n\nexport interface DoneFn {\n  (): void;\n  fail: (message?: Error|string) => void;\n}\n\nexport function expectPromiseToFail(fn: () => Promise<{}>, done: DoneFn): void {\n  fn().then(() => done.fail(), () => done());\n}\n\nexport function expectArraysEqual(actual: TensorLike, expected: TensorLike) {\n  const exp = typeof expected === 'string' || typeof expected === 'number' ||\n          typeof expected === 'boolean' ?\n      [expected] as number[] :\n      expected as number[];\n  if (isString(actual) || isString((actual as string[])[0]) ||\n      isString(expected) || isString((expected as string[])[0])) {\n    // tslint:disable-next-line: triple-equals\n    return expectArraysPredicate(actual, exp, (a, b) => a == b);\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, 0));\n}\n\nexport function expectNumbersClose(a: number, e: number, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  if (!areClose(a, e, epsilon)) {\n    throw new Error(`Numbers differ: actual === ${a}, expected === ${e}`);\n  }\n}\n\nfunction areClose(a: number, e: number, epsilon: number): boolean {\n  if (!isFinite(a) && !isFinite(e)) {\n    return true;\n  }\n  if (isNaN(a) || isNaN(e) || Math.abs(a - e) > epsilon) {\n    return false;\n  }\n  return true;\n}\n\nexport function expectValuesInRange(\n    actual: TypedArray|number[], low: number, high: number) {\n  for (let i = 0; i < actual.length; i++) {\n    if (actual[i] < low || actual[i] > high) {\n      throw new Error(\n          `Value out of range:${actual[i]} low: ${low}, high: ${high}`);\n    }\n  }\n}\n\nexport function expectArrayBuffersEqual(\n    actual: ArrayBuffer, expected: ArrayBuffer) {\n  // Safari & Jasmine don't like comparing ArrayBuffers directly. Wrapping in\n  // a Float32Array solves this issue.\n  expect(new Float32Array(actual)).toEqual(new Float32Array(expected));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {expectNumbersClose, testEpsilon} from '../test_util';\nimport {TypedArray} from '../types';\n\nexport interface RandomBase {\n  nextValue(): number;\n}\n\nexport interface RandomGamma {\n  nextValue(): number;\n}\n\nexport interface RandNormalDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\nexport interface RandGammaDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\n// https://en.wikipedia.org/wiki/Marsaglia_polar_method\nexport class MPRandGauss implements RandomBase {\n  private mean: number;\n  private stdDev: number;\n  private nextVal: number;\n  private dtype?: keyof RandNormalDataTypes;\n  private truncated?: boolean;\n  private upper?: number;\n  private lower?: number;\n  private random: seedrandom.prng;\n\n  constructor(\n      mean: number, stdDeviation: number, dtype?: keyof RandNormalDataTypes,\n      truncated?: boolean, seed?: number) {\n    this.mean = mean;\n    this.stdDev = stdDeviation;\n    this.dtype = dtype;\n    this.nextVal = NaN;\n    this.truncated = truncated;\n    if (this.truncated) {\n      this.upper = this.mean + this.stdDev * 2;\n      this.lower = this.mean - this.stdDev * 2;\n    }\n    const seedValue = seed ? seed : Math.random();\n    this.random = seedrandom.alea(seedValue.toString());\n  }\n\n  /** Returns next sample from a Gaussian distribution. */\n  public nextValue(): number {\n    if (!isNaN(this.nextVal)) {\n      const value = this.nextVal;\n      this.nextVal = NaN;\n      return value;\n    }\n\n    let resultX: number, resultY: number;\n    let isValid = false;\n    while (!isValid) {\n      let v1: number, v2: number, s: number;\n      do {\n        v1 = 2 * this.random() - 1;\n        v2 = 2 * this.random() - 1;\n        s = v1 * v1 + v2 * v2;\n      } while (s >= 1 || s === 0);\n\n      const mul = Math.sqrt(-2.0 * Math.log(s) / s);\n      resultX = this.mean + this.stdDev * v1 * mul;\n      resultY = this.mean + this.stdDev * v2 * mul;\n\n      if (!this.truncated || this.isValidTruncated(resultX)) {\n        isValid = true;\n      }\n    }\n\n    if (!this.truncated || this.isValidTruncated(resultY)) {\n      this.nextVal = this.convertValue(resultY);\n    }\n    return this.convertValue(resultX);\n  }\n\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype == null || this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  /** Returns true if less than 2-standard-deviations from the mean. */\n  private isValidTruncated(value: number): boolean {\n    return value <= this.upper && value >= this.lower;\n  }\n}\n\n// Marsaglia, George, and Wai Wan Tsang. 2000. \"A Simple Method for Generating\n// Gamma Variables.\"\nexport class RandGamma implements RandomGamma {\n  private alpha: number;\n  private beta: number;\n  private d: number;\n  private c: number;\n  private dtype?: keyof RandGammaDataTypes;\n  private randu: seedrandom.prng;\n  private randn: MPRandGauss;\n\n  constructor(\n      alpha: number, beta: number, dtype: keyof RandGammaDataTypes,\n      seed?: number) {\n    this.alpha = alpha;\n    this.beta = 1 / beta;  // convert rate to scale parameter\n    this.dtype = dtype;\n\n    const seedValue = seed ? seed : Math.random();\n    this.randu = seedrandom.alea(seedValue.toString());\n    this.randn = new MPRandGauss(0, 1, dtype, false, this.randu());\n\n    if (alpha < 1) {\n      this.d = alpha + (2 / 3);\n    } else {\n      this.d = alpha - (1 / 3);\n    }\n    this.c = 1 / Math.sqrt(9 * this.d);\n  }\n\n  /** Returns next sample from a gamma distribution. */\n  public nextValue(): number {\n    let x2: number, v0: number, v1: number, x: number, u: number, v: number;\n    while (true) {\n      do {\n        x = this.randn.nextValue();\n        v = 1 + (this.c * x);\n      } while (v <= 0);\n      v *= v * v;\n      x2 = x * x;\n      v0 = 1 - (0.331 * x2 * x2);\n      v1 = (0.5 * x2) + (this.d * (1 - v + Math.log(v)));\n      u = this.randu();\n      if (u < v0 || Math.log(u) < v1) {\n        break;\n      }\n    }\n    v = (1 / this.beta) * this.d * v;\n    if (this.alpha < 1) {\n      v *= Math.pow(this.randu(), 1 / this.alpha);\n    }\n    return this.convertValue(v);\n  }\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n}\n\nexport class UniformRandom implements RandomBase {\n  private min: number;\n  private range: number;\n  private random: seedrandom.prng;\n  private dtype?: keyof RandNormalDataTypes;\n\n  constructor(\n      min = 0, max = 1, dtype?: keyof RandNormalDataTypes,\n      seed?: string|number) {\n    this.min = min;\n    this.range = max - min;\n    this.dtype = dtype;\n    if (seed == null) {\n      seed = Math.random();\n    }\n    if (typeof seed === 'number') {\n      seed = seed.toString();\n    }\n\n    if (!this.canReturnFloat() && this.range <= 1) {\n      throw new Error(\n          `The difference between ${min} - ${max} <= 1 and dtype is not float`);\n    }\n    this.random = seedrandom.alea(seed);\n  }\n\n  /** Handles proper rounding for non floating point numbers. */\n  private canReturnFloat = () =>\n      (this.dtype == null || this.dtype === 'float32');\n\n  private convertValue(value: number): number {\n    if (this.canReturnFloat()) {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  nextValue() {\n    return this.convertValue(this.min + this.range * this.random());\n  }\n}\n\nexport function jarqueBeraNormalityTest(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Jarque%E2%80%93Bera_test\n  const n = values.length;\n  const s = skewness(values);\n  const k = kurtosis(values);\n  const jb = n / 6 * (Math.pow(s, 2) + 0.25 * Math.pow(k - 3, 2));\n  // JB test requires 2-degress of freedom from Chi-Square @ 0.95:\n  // http://www.itl.nist.gov/div898/handbook/eda/section3/eda3674.htm\n  const CHI_SQUARE_2DEG = 5.991;\n  if (jb > CHI_SQUARE_2DEG) {\n    throw new Error(`Invalid p-value for JB: ${jb}`);\n  }\n}\n\nexport function expectArrayInMeanStdRange(\n    actual: TypedArray|number[], expectedMean: number, expectedStdDev: number,\n    epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  const actualMean = mean(actual);\n  expectNumbersClose(actualMean, expectedMean, epsilon);\n  expectNumbersClose(\n      standardDeviation(actual, actualMean), expectedStdDev, epsilon);\n}\n\nfunction mean(values: TypedArray|number[]) {\n  let sum = 0;\n  for (let i = 0; i < values.length; i++) {\n    sum += values[i];\n  }\n  return sum / values.length;\n}\n\nfunction standardDeviation(values: TypedArray|number[], mean: number) {\n  let squareDiffSum = 0;\n  for (let i = 0; i < values.length; i++) {\n    const diff = values[i] - mean;\n    squareDiffSum += diff * diff;\n  }\n  return Math.sqrt(squareDiffSum / values.length);\n}\n\nfunction kurtosis(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Kurtosis\n  const valuesMean = mean(values);\n  const n = values.length;\n  let sum2 = 0;\n  let sum4 = 0;\n  for (let i = 0; i < n; i++) {\n    const v = values[i] - valuesMean;\n    sum2 += Math.pow(v, 2);\n    sum4 += Math.pow(v, 4);\n  }\n  return (1 / n) * sum4 / Math.pow((1 / n) * sum2, 2);\n}\n\nfunction skewness(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Skewness\n  const valuesMean = mean(values);\n  const n = values.length;\n  let sum2 = 0;\n  let sum3 = 0;\n  for (let i = 0; i < n; i++) {\n    const v = values[i] - valuesMean;\n    sum2 += Math.pow(v, 2);\n    sum3 += Math.pow(v, 3);\n  }\n  return (1 / n) * sum3 / Math.pow((1 / (n - 1)) * sum2, 3 / 2);\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {RandGamma} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a gamma distribution.\n *\n * ```js\n * tf.randomGamma([2, 2], 1).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param alpha The shape parameter of the gamma distribution.\n * @param beta The inverse scale parameter of the gamma distribution. Defaults\n *     to 1.\n * @param dtype The data type of the output. Defaults to float32.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomGamma_<R extends Rank>(\n    shape: ShapeMap[R], alpha: number, beta = 1,\n    dtype: 'float32'|'int32' = 'float32', seed?: number): Tensor<R> {\n  if (beta == null) {\n    beta = 1;\n  }\n  if (dtype == null) {\n    dtype = 'float32';\n  }\n  if (dtype !== 'float32' && dtype !== 'int32') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const rgamma = new RandGamma(alpha, beta, dtype, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = rgamma.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomGamma = op({randomGamma_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {MPRandGauss} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a normal distribution.\n *\n * ```js\n * tf.randomNormal([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, false /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomNormal = op({randomNormal_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {UniformRandom} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a uniform distribution.\n *\n * The generated values follow a uniform distribution in the range [minval,\n * maxval). The lower bound minval is included in the range, while the upper\n * bound maxval is excluded.\n *\n * ```js\n * tf.randomUniform([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param minval The lower bound on the range of random values to generate.\n *   Defaults to 0.\n * @param maxval The upper bound on the range of random values to generate.\n *   Defaults to 1.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomUniform_<R extends Rank>(\n    shape: ShapeMap[R], minval = 0, maxval = 1, dtype: DataType = 'float32',\n    seed?: number|string): Tensor<R> {\n  const res = buffer(shape, dtype);\n  const random = new UniformRandom(minval, maxval, null, seed);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = random.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomUniform = op({randomUniform_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Computes square of `x` element-wise: `x ^ 2`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.sqrt(2), -1]);\n *\n * x.square().print();  // or tf.square(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction square_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'square');\n  const attrs = {};\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [];\n  return ENGINE.runKernelFunc((backend, save) => {\n    save([$x]);\n    return backend.square($x);\n  }, {x: $x}, null /* grad */, 'Square', attrs, inputsToSave, outputsToSave);\n}\n\nexport const square = op({square_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {SquaredDifference, SquaredDifferenceInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.squaredDifferenceStrict` which has the same signature as\n * this op and asserts that `a` and `b` are the same shape (does not\n * broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * ```js\n * // Broadcast squared difference  a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction squaredDifference_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'squaredDifference');\n  let $b = convertToTensor(b, 'b', 'squaredDifference');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const two = scalar(2);\n    const derA = () => dy.mul($a.sub($b).mul(two));\n    const derB = () => dy.mul($b.sub($a).mul(two));\n    return {a: derA, b: derB};\n  };\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.squaredDifference($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: SquaredDifferenceInputs = {a: $a, b: $b};\n  const attrs = {};\n\n  const inputsToSave = [$a, $b];\n  const outputToSave: boolean[] = [];\n  return ENGINE.runKernelFunc(\n             forward, inputs as unknown as NamedTensorMap, der,\n             SquaredDifference, attrs, inputsToSave, outputToSave) as T;\n}\n\nexport const squaredDifference = op({squaredDifference_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {MPRandGauss} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a truncated normal\n * distribution.\n *\n * ```js\n * tf.truncatedNormal([2, 2]).print();\n * ```\n *\n * The generated values follow a normal distribution with specified mean and\n * standard deviation, except that values whose magnitude is more than 2\n * standard deviations from the mean are dropped and re-picked.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output tensor.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction truncatedNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type $ { dtype }`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, true /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const truncatedNormal = op({truncatedNormal_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of (a != b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.notEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([0, 2, 3]);\n *\n * a.notEqual(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction notEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'notEqual');\n  let $b = convertToTensor(b, 'b', 'notEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  return ENGINE.runKernelFunc(\n             backend => backend.notEqual($a, $b), {a: $a, b: $b},\n             null /* grad */, 'NotEqual') as T;\n}\n\n/**\n * Strict version of `tf.notEqual` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction notEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'notEqualStrict');\n  const $b = convertToTensor(b, 'b', 'notEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in notEqualStrict: ');\n  return $a.notEqual($b);\n}\n\n/**\n * Returns the truth value of (a < b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.less(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction less_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'less');\n  let $b = convertToTensor(b, 'b', 'less');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.less($a, $b), {a: $a, b: $b}, null /* grad */,\n             'Less') as T;\n}\n\n/**\n * Strict version of `tf.less` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction lessStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessStrict');\n  const $b = convertToTensor(b, 'b', 'lessStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessStrict: ');\n  return $a.less($b);\n}\n\n/**\n * Returns the truth value of (a == b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.equalStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.equal(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction equal_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'equal');\n  let $b = convertToTensor(b, 'b', 'equal');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.equal($a, $b), {$a, $b}) as T;\n}\n\nfunction equalStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'equalStrict');\n  const $b = convertToTensor(b, 'b', 'equalStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in equalStrict: ');\n  return $a.equal($b);\n}\n\n/**\n * Returns the truth value of (a <= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.lessEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction lessEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'lessEqual');\n  let $b = convertToTensor(b, 'b', 'lessEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.lessEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, null /* grad */, 'LessEqual') as T;\n}\n\nfunction lessEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessEqualStrict');\n  const $b = convertToTensor(b, 'b', 'lessEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessEqualStrict: ');\n  return $a.lessEqual($b);\n}\n\n/**\n * Returns the truth value of (a > b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greater(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greater_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greater');\n  let $b = convertToTensor(b, 'b', 'greater');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.greater($a, $b), {a: $a, b: $b},\n             null /* grad */, 'Greater') as T;\n}\n\nfunction greaterStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterStrict');\n  const $b = convertToTensor(b, 'b', 'greaterStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterStrict: ');\n  return $a.greater($b);\n}\n\n/**\n * Returns the truth value of (a >= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterEqualStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greaterEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greaterEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greaterEqual');\n  let $b = convertToTensor(b, 'b', 'greaterEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    return {a: () => zerosLike($a), b: () => zerosLike($b)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.greaterEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, grad, 'GreaterEqual') as T;\n}\n\nfunction greaterEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterEqualStrict');\n  const $b = convertToTensor(b, 'b', 'greaterEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterEqualStrict: ');\n  return $a.greaterEqual($b);\n}\n\nexport const equal = op({equal_});\nexport const equalStrict = op({equalStrict_});\nexport const greater = op({greater_});\nexport const greaterEqual = op({greaterEqual_});\nexport const greaterEqualStrict = op({greaterEqualStrict_});\nexport const greaterStrict = op({greaterStrict_});\nexport const less = op({less_});\nexport const lessEqual = op({lessEqual_});\nexport const lessEqualStrict = op({lessEqualStrict_});\nexport const lessStrict = op({lessStrict_});\nexport const notEqual = op({notEqual_});\nexport const notEqualStrict = op({notEqualStrict_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, isInt, parseAxisParam} from '../util';\nimport {expandDims} from './array_ops';\nimport {getUndoAxesPermutation} from './axis_util';\nimport {maximum} from './binary_ops';\nimport {greaterEqual} from './compare';\nimport {logicalAnd, where} from './logical_ops';\nimport {op} from './operation';\nimport {collectGatherOpShapeInfo} from './segment_util';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the sum along segments of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const segmentIds = tf.tensor1d([1, 2, 0, 1], 'int32');\n * const numSegments = 3;\n *\n * x.unsortedSegmentSum(segmentIds, numSegments).print()\n * //or tf.unsortedSegmentSum(x, segmentIds, numSegments)\n * ```\n * @param x The `tf.Tensor` that will be summed along its segments.\n * @param segmentIds A `tf.Tensor1D` whose rank is equal to the rank of `x`'s\n * dimension along the `axis`.  Maps each element of `x` to a segment.\n * @param numSegments The number of distinct `segmentIds`.\n */\n/** @doc {heading: 'Operations', subheading: 'Segment'} */\nfunction unsortedSegmentSum_<T extends Tensor>(\n    x: T|TensorLike, segmentIds: Tensor1D|TensorLike, numSegments: number): T {\n  const $x = convertToTensor(x, 'x', 'unsortedSegmentSum');\n  const $segmentIds =\n      convertToTensor(segmentIds, 'segmentIds', 'unsortedSegmentSum', 'int32');\n  assert(isInt(numSegments), () => 'numSegments must be of dtype int');\n\n  const gradFunc = (dy: T, saved: Tensor[]) => {\n    const [$segmentIds] = saved;\n    const derX = () => {\n      return gatherDropNegatives(dy, $segmentIds as Tensor1D);\n    };\n    return {$x: derX};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.unsortedSegmentSum($x, $segmentIds, numSegments);\n    save([$segmentIds]);\n    return res;\n  }, {$x}, gradFunc) as T;\n}\n\n/**\n * Gather slices from tensor `x`'s axis `axis` according to `indices`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const indices = tf.tensor1d([1, 3, 3], 'int32');\n *\n * x.gather(indices).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const indices = tf.tensor1d([1, 1, 0], 'int32');\n *\n * x.gather(indices).print();\n * ```\n * @param x The input tensor whose slices to be gathered.\n * @param indices The indices of the values to extract.\n * @param axis The axis over which to select values. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction gather_<T extends Tensor>(\n    x: T|TensorLike, indices: Tensor|TensorLike, axis = 0): T {\n  const $x = convertToTensor(x, 'x', 'gather');\n  const $indices = convertToTensor(indices, 'indices', 'gather', 'int32');\n  axis = parseAxisParam(axis, $x.shape)[0];\n  const shapeInfo = collectGatherOpShapeInfo($x, $indices, axis);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$indices] = saved;\n    const derX = () => {\n      const paramsShape = $x.shape;\n      const indicesSize = $indices.size;\n\n      const outerShape = paramsShape.slice(0, axis);\n      const outerDims = outerShape.length;\n      const innerShape = paramsShape.slice(axis, paramsShape.length).slice(1);\n      const innerDims = innerShape.length;\n\n      const outerAxesIndices = arrayRange(0, outerDims);\n      const innerAxesIndices =\n          arrayRange(outerDims + 1, outerDims + 1 + innerDims);\n\n      const valuesShape = arrayConcat([outerShape, [indicesSize], innerShape]);\n\n      const values = dy.reshape(valuesShape);\n      const reshapedIndices = $indices.reshape([indicesSize]);\n\n      const transposeDims =\n          arrayConcat([[outerDims], outerAxesIndices, innerAxesIndices]);\n      const valuesTranspose = values.transpose(transposeDims);\n      let paramsGrad = unsortedSegmentSum(\n          valuesTranspose, reshapedIndices as Tensor1D, $x.shape[axis]);\n\n      const invertTransposeDims = getUndoAxesPermutation(transposeDims);\n      paramsGrad = paramsGrad.transpose(invertTransposeDims);\n\n      return paramsGrad as T;\n    };\n    return {x: derX, indices: () => $indices};\n  };\n  return (ENGINE.runKernelFunc(\n              (backend, save) => {\n                const res = backend.gather($x, $indices.flatten(), axis);\n                save([$indices]);\n                return res;\n              },\n              {x: $x, indices: $indices}, grad, 'Gather', {axis}))\n             .reshape(shapeInfo.outputShape) as T;\n}\n\nfunction arrayRange(start: number, stop: number): number[] {\n  const result = [];\n  for (let i = start; i < stop; ++i) {\n    result.push(i);\n  }\n  return result;\n}\n\nfunction arrayConcat(arrays: number[][]): number[] {\n  const result = [];\n  for (let i = 0; i < arrays.length; ++i) {\n    for (let j = 0; j < arrays[i].length; ++j) {\n      result.push(arrays[i][j]);\n    }\n  }\n  return result;\n}\n\nfunction gatherDropNegatives<T extends Tensor>(x: T, indices: Tensor1D) {\n  // Helper function for unsorted segment ops. Gathers params for\n  // positive segment ids and gathers 0 for inputs with negative segment id.\n  // Mirrors _GatherDropNegatives from tensorflow/python/ops/math_grad.py\n  const zeroClippedIndices = maximum(indices, zerosLike(indices));\n  const gathered = gather(x, zeroClippedIndices as Tensor1D);\n  let isPositive = greaterEqual(indices, scalar(0, 'int32'));\n  const numIters = gathered.rank - isPositive.rank;\n  for (let i = 0; i < numIters; ++i) {\n    isPositive = expandDims(isPositive, i + 1);\n  }\n  isPositive = logicalAnd(isPositive, ones(gathered.shape, 'bool'));\n  const zeroSlice = zerosLike(gathered);\n  return where(isPositive, gathered, zeroSlice);\n}\n\nexport const gather = op({gather_});\nexport const unsortedSegmentSum = op({unsortedSegmentSum_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {whereAsync} from './logical_ops';\nimport {gather} from './segment_ops';\n\n/**\n * Apply boolean mask to tensor.\n *\n * ```js\n * const tensor = tf.tensor2d([1, 2, 3, 4, 5, 6], [3, 2]);\n * const mask = tf.tensor1d([1, 0, 1], 'bool');\n * const result = await tf.booleanMaskAsync(tensor, mask);\n * result.print();\n * ```\n *\n * @param tensor N-D tensor.\n * @param mask K-D boolean tensor, K <= N and K must be known statically.\n * @param axis A 0-D int Tensor representing the axis in tensor to mask from.\n *     By default, axis is 0 which will mask from the first dimension.\n *     Otherwise K + axis <= N.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nasync function booleanMaskAsync_(\n    tensor: Tensor|TensorLike, mask: Tensor|TensorLike,\n    axis?: number): Promise<Tensor> {\n  const $tensor = convertToTensor(tensor, 'tensor', 'boolMask');\n  const $mask = convertToTensor(mask, 'mask', 'boolMask', 'bool');\n\n  const axisFrom = axis == null ? 0 : axis;\n  const maskDim = $mask.rank;\n  const tensorShape = $tensor.shape;\n\n  util.assert(maskDim > 0, () => 'mask cannot be scalar');\n  util.assertShapesMatch(\n      tensorShape.slice(axisFrom, axisFrom + maskDim), $mask.shape,\n      `mask's shape must match the first K dimensions of tensor's shape,`);\n\n  let leadingSize = 1;\n  for (let i = axisFrom; i < axisFrom + maskDim; i++) {\n    leadingSize *= tensorShape[i];\n  }\n  const targetTensorShape =\n      tensorShape.slice(0, axisFrom)\n          .concat([leadingSize], tensorShape.slice(axisFrom + maskDim));\n  const reshapedTensor = $tensor.reshape(targetTensorShape);\n  const reshapedMask = $mask.reshape([-1]);\n  const positivePositions = await whereAsync(reshapedMask);\n  const indices = positivePositions.squeeze([1]);\n\n  const res = gather(reshapedTensor, indices, axisFrom);\n\n  // Ensure no memory leak.\n  if (tensor !== $tensor) {\n    $tensor.dispose();\n  }\n  if (mask !== $mask) {\n    $mask.dispose();\n  }\n  indices.dispose();\n  reshapedTensor.dispose();\n  reshapedMask.dispose();\n  positivePositions.dispose();\n\n  return res;\n}\n\nexport const booleanMaskAsync = booleanMaskAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes a 1D convolution over the input x.\n *\n * @param x The input tensor, of rank 3 or rank 2, of shape\n *     `[batch, width, inChannels]`. If rank 2, batch of 1 is assumed.\n * @param filter The filter, rank 3, of shape\n *     `[filterWidth, inDepth, outDepth]`.\n * @param stride The number of entries by which the filter is moved right at\n *     each step.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from \"NWC\", \"NCW\". Defaults to \"NWC\",\n *     the data is stored in the order of [batch, in_width, in_channels]. Only\n *     \"NWC\" is currently supported.\n * @param dilation The dilation rate in which we sample input values in\n *     atrous convolution. Defaults to `1`. If it is greater than 1, then\n *     stride must be `1`.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv1d_<T extends Tensor2D|Tensor3D>(\n    x: T|TensorLike, filter: Tensor3D|TensorLike, stride: number,\n    pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv1d');\n  const $filter = convertToTensor(filter, 'filter', 'conv1d');\n\n  let x3D = $x as Tensor3D;\n  let reshapedTo3D = false;\n  if ($x.rank === 2) {\n    reshapedTo3D = true;\n    x3D = $x.as3D(1, $x.shape[0], $x.shape[1]);\n  }\n\n  util.assert(\n      x3D.rank === 3,\n      () => `Error in conv1d: input must be rank 3, but got rank ${x3D.rank}.`);\n  util.assert(\n      $filter.rank === 3,\n      () => `Error in conv1d: filter must be rank 3, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv1d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x3D.shape[2] === $filter.shape[1],\n      () => `Error in conv1d: depth of input (${x3D.shape[2]}) must match ` +\n          `input depth for filter ${$filter.shape[1]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(stride, dilation),\n      () => 'Error in conv1D: Either stride or dilation must be 1. ' +\n          `Got stride ${stride} and dilation '${dilation}'`);\n  util.assert(\n      dataFormat === 'NWC',\n      () => `Error in conv1d: got dataFormat of ${\n          dataFormat} but only NWC is currently supported.`);\n\n  const filter4D =\n      $filter.as4D(1, $filter.shape[0], $filter.shape[1], $filter.shape[2]);\n  const input4D = x3D.as4D(x3D.shape[0], 1, x3D.shape[1], x3D.shape[2]);\n  const strides: [number, number] = [1, stride];\n  const dilations: [number, number] = [1, dilation];\n\n  const conv2dDataFormat = 'NHWC';\n\n  const res = conv2d(\n      input4D, filter4D, strides, pad, conv2dDataFormat, dilations,\n      dimRoundingMode);\n\n  if (reshapedTo3D) {\n    return res.as2D(res.shape[2], res.shape[3]) as T;\n  }\n  return res.as3D(res.shape[0], res.shape[2], res.shape[3]) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2d: input must be rank 4, but got rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  util.assert(\n      inDepth === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${inDepth}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D] = saved as [Tensor4D, Tensor4D];\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of conv2D: dilation rates greater than 1 ' +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    return {\n      x: () => conv2dDerInput(x4D.shape, dy, $filter, strides, pad, dataFormat),\n      filter: () =>\n          conv2dDerFilter(x4D, dy, $filter.shape, strides, pad, dataFormat)\n    };\n  };\n\n  const inputsToSave = [$filter, x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2d(x4D, $filter, convInfo);\n    save([$filter, x4D]);\n\n    return res;\n  }, {x: x4D, filter: $filter}, grad, 'Conv2D', convInfo, inputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 2D convolution.\n *\n * @param xShape The shape of the input: [batch, height, width, inDepth].\n * If length of 3, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 4 or rank 3 of shape\n *   `[batch, outHeight, outWidth, outDepth]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction conv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, strides: [number, number]|number,\n    pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape4D = xShape as [number, number, number, number];\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n    xShape4D = [1, xShape[0], xShape[1], xShape[2]];\n  }\n\n  util.assert(\n      xShape4D.length === 4,\n      () =>\n          `Error in conv2dDerInput: inShape must be length 4, but got length ` +\n          `${xShape4D.length}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerInput: dy must be rank 4, but got ` +\n          `rank ${dy4D.rank}`);\n  util.assert(\n      filter.rank === 4,\n      () => `Error in conv2dDerInput: filter must be rank 4, but got ` +\n          `rank ${filter.rank}`);\n  const inDepth = dataFormat === 'NHWC' ? xShape4D[3] : xShape4D[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filter.shape[2],\n      () => `Error in conv2dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[2]}.`);\n  util.assert(\n      outDepth === filter.shape[3],\n      () => `Error in conv2dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[3]}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerInput: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n\n  const grad = (ddx: Tensor4D, saved: Tensor[]) => {\n    const [filter, dy4D] = saved;\n    return {\n      dy4D: () => conv2d(\n          ddx, filter as Tensor4D, strides, pad, dataFormat, dilations,\n          dimRoundingMode),\n      filter: () => conv2dDerFilter(\n          ddx, dy4D as Tensor4D, (filter as Tensor4D).shape, strides, pad,\n          dataFormat, dimRoundingMode)\n    };\n  };\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      xShape4D, filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2dDerInput(dy4D, filter, convInfo);\n    save([filter, dy4D]);\n    return res;\n  }, {dy4D, filter}, grad);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 2D convolution.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     [batch, height, width, inChannels]. If rank 3, batch of 1 is assumed.\n * @param dy The dy image, of rank 4 or rank 3, of shape\n *     [batch, height, width, outDepth]. If rank 3, batch of 1 is assumed.\n * @param filterShape The shape of the filter, length 4,\n *     [filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction conv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2dDerFilter: input must be rank 4, but got shape ` +\n          `${x4D.shape}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerFilter: dy must be rank 4, but got shape ` +\n          `${dy4D.shape}.`);\n  util.assert(\n      filterShape.length === 4,\n      () => `Error in conv2dDerFilter: filterShape must be length 4, but got ` +\n          `${filterShape}.`);\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filterShape[2],\n      () => `Error in conv2dDerFilter: depth of input ${inDepth}) must ` +\n          `match input depth in filter (${filterShape[2]}.`);\n  util.assert(\n      outDepth === filterShape[3],\n      () => `Error in conv2dDerFilter: depth of dy (${outDepth}) must ` +\n          `match output depth for filter (${filterShape[3]}).`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerFilter: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, filterShape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv2dDerFilter(x4D, dy4D, convInfo), {x4D, dy4D});\n}\n\n/**\n * Computes the transposed 2D convolution of an image, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 4 or rank 3, of shape\n *   `[batch, height, width, inDepth]`. If rank 3, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 4 or rank 3:\n *     `[batch, height, width, outDepth]`. If rank 3, batch of 1 is assumed.\n * @param strides The strides of the original convolution:\n *     `[strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n * @param dimRoundingMode The rounding mode used when computing output\n *    dimensions if pad is a number. If none is provided, it will not round\n *    and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2dTranspose_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    outputShape: [number, number, number, number]|[number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv2dTranspose');\n\n  return conv2dDerInput_(\n      outputShape, $x, $filter, strides, pad, 'NHWC', dimRoundingMode);\n}\n\n/**\n * Depthwise 2D convolution.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction depthwiseConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in depthwiseConv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in depthwiseConv2d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in depthwiseConv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [x4D, $filter] = saved;\n    return {\n      x: () => depthwiseConv2dDerInput(\n          (x4D as Tensor4D).shape, dy, $filter as Tensor4D, convInfo),\n      filter: () => depthwiseConv2dDerFilter(\n          x4D as Tensor4D, dy, ($filter as Tensor4D).shape, convInfo),\n    };\n  };\n\n  const inputsToSave = [x4D, $filter];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.depthwiseConv2D(x4D, $filter, convInfo);\n        save([x4D, $filter]);\n        return res;\n      },\n      {x: x4D, filter: $filter}, grad, 'DepthwiseConv2dNative', convInfo,\n      inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * 2-D convolution with separable filters.\n *\n * Performs a depthwise convolution that acts separately on channels followed\n * by a pointwise convolution that mixes channels. Note that this is\n * separability between dimensions [1, 2] and 3, not spatial separability\n * between dimensions 1 and 2.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param depthwiseFilter The depthwise filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`. This is\n *     the filter used in the first step.\n * @param pointwiseFilter The pointwise filter tensor, rank 4, of shape\n *     `[1, 1, inChannels * channelMultiplier, outChannels]`. This is\n *     the filter used in the second step.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction separableConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike,\n    pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n    pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n  const $x = convertToTensor(x, 'x', 'separableConv2d');\n  const $depthwiseFilter =\n      convertToTensor(depthwiseFilter, 'depthwiseFilter', 'separableConv2d');\n  const $pointwiseFilter =\n      convertToTensor(pointwiseFilter, 'pointwiseFilter', 'separableConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n\n  if (dataFormat === 'NCHW') {\n    throw new Error(\n        'separableConv2d currently does not support dataFormat NCHW; only ' +\n        'NHWC is supported');\n  }\n\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in separableConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $depthwiseFilter.rank === 4,\n      () => `Error in separableConv2d: depthwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.rank === 4,\n      () => `Error in separableConv2d: pointwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.shape[0] === 1,\n      () =>\n          `Error in separableConv2d: the first dimension of pointwise filter ` +\n          ` must be 1, but got ${$pointwiseFilter.shape[0]}.`);\n  util.assert(\n      $pointwiseFilter.shape[1] === 1,\n      () => `Error in separableConv2d: the second dimension of pointwise ` +\n          `filter must be 1, but got ${$pointwiseFilter.shape[1]}.`);\n\n  const inChannels = $depthwiseFilter.shape[2];\n  const channelMultiplier = $depthwiseFilter.shape[3];\n  util.assert(\n      $pointwiseFilter.shape[2] === inChannels * channelMultiplier,\n      () =>\n          `Error in separableConv2d: the third dimension of pointwise filter ` +\n          `must be ${inChannels * channelMultiplier}, ` +\n          `but got ${$pointwiseFilter.shape[2]}.`);\n\n  const depthwise = depthwiseConv2d(\n      x4D, $depthwiseFilter, strides, pad, dataFormat, dilation);\n  const pointwiseStride = 1;\n  const res =\n      conv2d(depthwise, $pointwiseFilter, pointwiseStride, 'valid', dataFormat);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction parseTupleParam(\n    param: number|[number, number]|[number, number, number]):\n    [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param;\n}\n\nfunction tupleValuesAreOne(\n    param: number|[number, number]|[number, number, number]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nfunction eitherStridesOrDilationsAreOne(\n    strides: number|[number, number]|[number, number, number],\n    dilations: number|[number, number]|[number, number, number]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\nfunction depthwiseConv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, convInfo: conv_util.Conv2DInfo): T {\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerInput(dy4D, filter, convInfo),\n      {dy4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction depthwiseConv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    convInfo: conv_util.Conv2DInfo): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerFilter(x4D, dy4D, convInfo),\n      {x4D, dy4D});\n}\n\n/**\n * Computes a 3D convolution over the input x.\n *\n * @param x The input tensor, of rank 5 or rank 4, of shape\n *     `[batch, depth, height, width, channels]`. If rank 4,\n * batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inChannels, outChannels]`.\n *      inChannels must match between input and filter.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationDepth, dilationHeight,\n *     dilationWidth]` in which we sample input values across the height\n *     and width dimensions in atrous convolution. Defaults to `[1, 1, 1]`.\n *     If `dilations` is a single number, then\n *     `dilationDepth == dilationHeight == dilationWidth`. If it is greater\n *     than 1, then all values of `strides` must be 1.\n */\n\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    strides: [number, number, number]|number, pad: 'valid'|'same',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations: [number, number, number]|number = [1, 1, 1]): T {\n  const $x = convertToTensor(x, 'x', 'conv3d');\n  const $filter = convertToTensor(filter, 'filter', 'conv3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3d: input must be rank 5, but got rank ${x5D.rank}.`);\n  util.assert(\n      $filter.rank === 5,\n      () => `Error in conv3d: filter must be rank 5, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x5D.shape[4] === $filter.shape[3],\n      () => `Error in conv3d: depth of input (${x5D.shape[4]}) must match ` +\n          `input depth for filter ${$filter.shape[3]}.`);\n  util.assert(\n      eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv3D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in conv3d: got dataFormat of ${\n          dataFormat} but only NDHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, $filter.shape, strides, dilations, pad);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    util.assert(\n        tupleValuesAreOne(dilations),\n        () =>\n            'Error in gradient of conv3D: dilation rates greater than 1 are ' +\n            `not yet supported in gradients. Got dilations '${dilations}'`);\n    const [x5D, $filter] = saved;\n    return {\n      x: () => conv3dDerInput_(\n          (x5D as Tensor5D).shape, dy, $filter as Tensor5D, strides, pad),\n      $filter: () => conv3dDerFilter_(\n          x5D as Tensor5D, dy, ($filter as Tensor5D).shape, strides, pad)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv3d(x5D, $filter, convInfo);\n    save([x5D, $filter]);\n    return res;\n  }, {x: x5D, $filter}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 3D convolution.\n *\n * @param xShape The shape of the input: [batch, depth, height, width,\n * in_channels]. If length of 4, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 5 or rank 4 of shape\n *   `[batch, outDepth, outHeight, outWidth, in_channels]`.\n * If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n */\nfunction conv3dDerInput_<T extends Tensor4D|Tensor5D>(\n    xShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    dy: T, filter: Tensor5D, strides: [number, number, number]|number,\n    pad: 'valid'|'same'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape5D = xShape as [number, number, number, number, number];\n  let dy5D = dy as Tensor5D;\n  let reshapedTo5D = false;\n  if (dy.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n    xShape5D = [1, xShape[0], xShape[1], xShape[2], xShape[3]];\n  }\n\n  const inDepth = xShape5D[4];\n  const outDepth = dy5D.shape[4];\n  util.assert(\n      xShape5D.length === 5,\n      () =>\n          `Error in conv3dDerInput: inShape must be length 5, but got length ` +\n          `${xShape5D.length}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerInput: dy must be rank 5, but got ` +\n          `rank ${dy5D.rank}`);\n  util.assert(\n      filter.rank === 5,\n      () => `Error in conv3dDerInput: filter must be rank 5, but got ` +\n          `rank ${filter.rank}`);\n  util.assert(\n      inDepth === filter.shape[3],\n      () => `Error in conv3dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[3]}.`);\n  util.assert(\n      outDepth === filter.shape[4],\n      () => `Error in conv3dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[4]}.`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      xShape5D, filter.shape, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.conv3dDerInput(dy5D, filter, convInfo), {dy5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 3D convolution.\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     [batch, depth, height, width, inChannels]. If rank 4, batch of 1 is\n *     assumed.\n * @param dy The dy image, of rank 5 or rank 4, of shape\n *     [batch, depth, height, width, outDepth]. If rank 4, batch of 1 is\n *     assumed.\n * @param filterShape The shape of the filter, length 5,\n *     [filterDepth, filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideDepth, strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction conv3dDerFilter_<T extends Tensor4D|Tensor5D>(\n    x: T, dy: T, filterShape: [number, number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): Tensor5D {\n  let x5D = x as Tensor5D;\n  if (x.rank === 4) {\n    x5D = x.as5D(1, x.shape[0], x.shape[1], x.shape[2], x.shape[3]);\n  }\n  let dy5D = dy as Tensor5D;\n  if (dy5D.rank === 4) {\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3dDerFilter: input must be rank 5, but got shape ` +\n          `${x5D.shape}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerFilter: dy must be rank 5, but got shape ` +\n          `${dy5D.shape}.`);\n  util.assert(\n      filterShape.length === 5,\n      () => `Error in conv3dDerFilter: filterShape must be length 5, but got ` +\n          `${filterShape}.`);\n  util.assert(\n      x5D.shape[4] === filterShape[3],\n      () => `Error in conv3dDerFilter: depth of input ${x5D.shape[4]}) must ` +\n          `match input depth in filter (${filterShape[3]}.`);\n  util.assert(\n      dy5D.shape[4] === filterShape[4],\n      () => `Error in conv3dDerFilter: depth of dy (${dy5D.shape[4]}) must ` +\n          `match output depth for filter (${filterShape[4]}).`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, filterShape, strides, dilations, pad);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv3dDerFilter(x5D, dy5D, convInfo), {x5D, dy5D});\n}\n\n/**\n * Computes the transposed 3D convolution of a volume, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 5 or rank 4, of shape\n *   `[batch, depth, height, width, inDepth]`. If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[depth, filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 5 or rank 4:\n *     `[batch, depth, height, width, outDepth]`. If rank 3, batch of 1 is\n *    assumed.\n * @param strides The strides of the original convolution:\n *     `[strideDepth, strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3dTranspose_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    outputShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): T {\n  const $x = convertToTensor(x, 'x', 'conv3dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv3dTranspose');\n\n  return conv3dDerInput_(outputShape, $x, $filter, strides, pad);\n}\n\nexport const conv1d = op({conv1d_});\nexport const conv2d = op({conv2d_});\nexport const conv3d = op({conv3d_});\nexport const conv2dDerFilter = op({conv2dDerFilter_});\nexport const conv2dDerInput = op({conv2dDerInput_});\nexport const depthwiseConv2d = op({depthwiseConv2d_});\nexport const depthwiseConv2dDerInput = op({depthwiseConv2dDerInput_});\nexport const depthwiseConv2dDerFilter = op({depthwiseConv2dDerFilter_});\nexport const separableConv2d = op({separableConv2d_});\nexport const conv2dTranspose = op({conv2dTranspose_});\nexport const conv3dTranspose = op({conv3dTranspose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Computes the dot product of two matrices, A * B. These must be matrices.\n *\n * ```js\n * const a = tf.tensor2d([1, 2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.matMul(b).print();  // or tf.matMul(a, b)\n * ```\n * @param a First matrix in dot product operation.\n * @param b Second matrix in dot product operation.\n * @param transposeA If true, `a` is transposed before multiplication.\n * @param transposeB If true, `b` is transposed before multiplication.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction matMul_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike, transposeA = false,\n    transposeB = false): T {\n  let $a = convertToTensor(a, 'a', 'matMul');\n  let $b = convertToTensor(b, 'b', 'matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () => `Error in matMul: inputs must have the same rank of at least 2, ` +\n          `got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D] = saved as Tensor3D[];\n    if (!transposeA && !transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, true),\n        b: () => a3D.matMul(dy, true, false)\n      };\n    } else if (!transposeA && transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, false),\n        b: () => dy.matMul(a3D, true, false)\n      };\n    } else if (transposeA && !transposeB) {\n      return {\n        a: () => b3D.matMul(dy, false, true),\n        b: () => a3D.matMul(dy, false, false)\n      };\n    } else {\n      return {\n        a: () => b3D.matMul(dy, true, true),\n        b: () => dy.matMul(a3D, true, true)\n      };\n    }\n  };\n\n  const attrs = {transposeA, transposeB};\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.batchMatMul(a3D, b3D, transposeA, transposeB);\n    save([a3D, b3D]);\n    return res;\n  }, {a: a3D, b: b3D}, grad, 'BatchMatMul', attrs);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes the outer product of two vectors, `v1` and `v2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([3, 4, 5]);\n *\n * tf.outerProduct(a, b).print();\n * ```\n * @param v1 The first vector in the outer product operation.\n * @param v2 The second vector in the outer product operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction outerProduct_(\n    v1: Tensor1D|TensorLike, v2: Tensor1D|TensorLike): Tensor2D {\n  const $v1 = convertToTensor(v1, 'v1', 'outerProduct');\n  const $v2 = convertToTensor(v2, 'v2', 'outerProduct');\n\n  util.assert(\n      $v1.rank === 1 && $v2.rank === 1,\n      () => `Error in outerProduct: inputs must be rank 1, but got ranks ` +\n          `${$v1.rank} and ${$v2.rank}.`);\n\n  return $v1.as2D(-1, 1).matMul($v2.as2D(1, -1));\n}\n\n/**\n * Computes the dot product of two matrices and/or vectors, `t1` and `t2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor2d([[1, 2], [3, 4]]);\n * const c = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n *\n * a.dot(b).print();  // or tf.dot(a, b)\n * b.dot(a).print();\n * b.dot(c).print();\n * ```\n * @param t1 The first tensor in the dot operation.\n * @param t2 The second tensor in the dot operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction dot_(t1: Tensor|TensorLike, t2: Tensor|TensorLike): Tensor {\n  const $t1 = convertToTensor(t1, 't1', 'dot');\n  const $t2 = convertToTensor(t2, 't2', 'dot');\n  util.assert(\n      ($t1.rank === 1 || $t1.rank === 2) && ($t2.rank === 1 || $t2.rank === 2),\n      () => `Error in dot: inputs must all be rank 1 or 2, but got ranks ` +\n          `${$t1.rank} and ${$t2.rank}.`);\n\n  const t1Inner = ($t1.rank === 1 ? $t1.size : $t1.shape[1]);\n  const t2Inner = ($t2.rank === 1 ? $t2.size : $t2.shape[0]);\n\n  util.assert(\n      t1Inner === t2Inner,\n      () => `Error in dot: inner dimensions of inputs must match, but got ` +\n          `${t1Inner} and ${t2Inner}.`);\n\n  if ($t1.rank === 1 && $t2.rank === 1) {\n    return $t1.as2D(1, -1).matMul($t2.as2D(-1, 1)).asScalar();\n  } else if ($t1.rank === 1 && $t2.rank === 2) {\n    return $t1.as2D(1, -1).matMul($t2.as2D($t2.shape[0], $t2.shape[1])).as1D();\n  } else if ($t1.rank === 2 && $t2.rank === 1) {\n    return $t1.matMul($t2.as2D(-1, 1)).as1D();\n  } else {\n    return $t1.matMul($t2.as2D($t2.shape[0], $t2.shape[1]));\n  }\n}\n\nexport const matMul = op({matMul_});\nexport const dot = op({dot_});\nexport const outerProduct = op({outerProduct_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Reverses a `tf.Tensor1D`.\n *\n * @param x The input tensor.\n */\nfunction reverse1d_(x: Tensor1D|TensorLike): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 1,\n      () => `Error in reverse1D: x must be rank 1 but got rank ${$x.rank}.`);\n  return reverse($x, 0);\n}\n\n/**\n * Reverses a `tf.Tensor2D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse2d_(x: Tensor2D|TensorLike, axis?: number|number[]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 2,\n      () => `Error in reverse2D: x must be rank 2 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor3D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse3d_(x: Tensor3D|TensorLike, axis?: number|number[]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 3,\n      () => `Error in reverse3D: x must be rank 3 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor4D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse4d_(x: Tensor4D|TensorLike, axis?: number|number[]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 4,\n      () => `Error in reverse4D: x must be rank 4 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor` along a specified axis.\n *\n * Also available are stricter rank-specific methods that assert that `x` is\n * of the given rank:\n *   - `tf.reverse1d`\n *   - `tf.reverse2d`\n *   - `tf.reverse3d`\n *   - `tf.reverse4d`\n *\n * Except `tf.reverse1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.reverse().print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.reverse(axis).print();\n * ```\n * @param x The input tensor to be reversed.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction reverse_<T extends Tensor>(\n    x: T|TensorLike, axis?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'reverse');\n\n  if ($x.rank === 0) {\n    return $x.clone();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const grad = (dy: T) => {\n    return {$x: () => dy.reverse(axes)};\n  };\n  const res =\n      ENGINE.runKernelFunc(backend => backend.reverse($x, axes), {$x}, grad);\n  return res.reshapeAs($x);\n}\n\nexport const reverse = op({reverse_});\nexport const reverse1d = op({reverse1d_});\nexport const reverse2d = op({reverse2d_});\nexport const reverse3d = op({reverse3d_});\nexport const reverse4d = op({reverse4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchToSpaceND, spaceToBatchND} from './array_ops';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction maxPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'maxPool');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in maxPool: input must be rank 4 but got rank ${x4D.rank}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x: () => maxPoolBackprop(\n          dy, x4D as Tensor4D, y as Tensor4D, filterSize, strides, dilations,\n          pad)\n    };\n  };\n\n  const inputsToSave = [x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool(x4D, convInfo);\n    save([x4D, y]);\n    return y;\n  }, {x: x4D}, grad, 'MaxPool', convInfo, inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return maxPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction avgPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'avgPool', 'float32');\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in avgPool: x must be rank 4 but got rank ${x4D.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D) => {\n    return {\n      x: () => avgPoolBackprop(dy, x4D, filterSize, strides, dilations, pad)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool(x4D, convInfo), {x: x4D}, grad, 'AvgPool',\n      convInfo);\n  res = res.cast($x.dtype);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return avgPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Performs an N-D pooling operation\n *\n * @param input The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param windowShape The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param poolingType The type of pooling, either 'max' or 'avg'.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilationRate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction pool_<T extends Tensor3D|Tensor4D>(\n    input: T|TensorLike, windowShape: [number, number]|number,\n    poolingType: 'avg'|'max', pad: 'valid'|'same'|number,\n    dilations?: [number, number]|number, strides?: [number, number]|number) {\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  if (strides == null) {\n    strides = 1;\n  }\n  if (pad === 0) {\n    pad = 'valid';\n  }\n  const $x = convertToTensor(input, 'x', 'maxPool');\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in pool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, windowShape, strides, dilations, pad);\n  const dilation: [number, number] =\n      [convInfo.dilationHeight, convInfo.dilationWidth];\n\n  // The following implementation does batchToSpace(pool(spaceToBatch(x)))\n  // whenever dilation > 1 since the TF kernels do not support dilation > 1.\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L1037\n\n  let basePadding: number[][];\n  if (pad === 'same') {\n    basePadding = withSpaceToBatchBasePaddings(\n        [convInfo.filterHeight, convInfo.filterWidth], dilation);\n  } else {\n    basePadding = [[0, 0], [0, 0]];\n  }\n  const isDilationOne = dilation[0] === 1 && dilation[1] === 1;\n  const [adjustedPadding, adjustedCrops] = requiredSpaceToBatchPaddings(\n      [convInfo.inHeight, convInfo.inWidth], dilation, basePadding);\n  const convertedPad = isDilationOne ? pad : 'valid';\n  const convertedX =\n      isDilationOne ? x4D : spaceToBatchND(x4D, dilation, adjustedPadding);\n  const forwardOp = poolingType === 'avg' ?\n      () => avgPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad) :\n      () => maxPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad);\n  const y = forwardOp();\n  const res = isDilationOne ? y : batchToSpaceND(y, dilation, adjustedCrops);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 2D max pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The original input image, of rank 4, of shape\n *     [batchSize, height, width, channels].\n * @param output The original output image, of rank 4, of shape\n *     [batchSize, outHeight, outWidth, channels].\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPoolBackprop(\n    dy: Tensor4D|TensorLike, input: Tensor4D|TensorLike,\n    output: Tensor4D|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  const $dy = convertToTensor(dy, 'dy', 'maxPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPoolBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy ` +\n          `(${$dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in maxPoolBackProp: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  util.assert(\n      $dy.rank === 4,\n      () => `Error in maxPoolBackprop: dy must be rank 4 but got rank ` +\n          `${$dy.rank}.`);\n  util.assert(\n      $input.rank === 4,\n      () => `Error in maxPoolBackprop: input must be rank 4 but got rank ` +\n          `${$input.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPoolBackprop: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      $input.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPoolBackprop($dy, $input, $output, convInfo),\n      {$dy, $input});\n  return res;\n}\n\n/**\n * Computes the backprop of an 2D avg pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The input image, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction avgPoolBackprop<T extends Tensor3D|Tensor4D>(\n    dy: T|TensorLike, input: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy (${\n          $dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in avgPoolBackprop: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  let input4D = $input as Tensor4D;\n  let dy4D = $dy as Tensor4D;\n  let reshapedTo4D = false;\n  if ($input.rank === 3) {\n    reshapedTo4D = true;\n    input4D = $input.as4D(1, $input.shape[0], $input.shape[1], $input.shape[2]);\n    dy4D = $dy.as4D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2]);\n  }\n\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in avgPoolBackprop: dy must be rank 4 but got rank ` +\n          `${dy4D.rank}.`);\n  util.assert(\n      input4D.rank === 4,\n      () => `Error in avgPoolBackprop: input must be rank 4 but got rank ` +\n          `${input4D.rank}.`);\n\n  const convInfo = conv_util.computePool2DInfo(\n      input4D.shape, filterSize, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPoolBackprop(dy4D, input4D, convInfo),\n      {dy4D, input4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n// Helper function to compute crops and paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/array_ops.py#L2184\nfunction requiredSpaceToBatchPaddings(\n    inputShape: [number, number], blockShape: [number, number],\n    basePadding: number[][]) {\n  const padStart = basePadding.map(b => b[0]);\n  const origPadEnd = basePadding.map(b => b[1]);\n  const fullInputShape = inputShape.concat(padStart, origPadEnd);\n  const padEndExtra = blockShape.map((b, i) => (b - fullInputShape[i] % b) % b);\n  const padEnd = origPadEnd.map((s, i) => s + padEndExtra[i]);\n  const paddings = blockShape.map((_, i) => [padStart[i], padEnd[i]]);\n  const crops = blockShape.map((_, i) => [0, padEndExtra[i]]);\n  return [paddings, crops];\n}\n\n// Helper function to compute base paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L524\nfunction withSpaceToBatchBasePaddings(\n    filterShape: [number, number], dilation: [number, number]) {\n  // Spatial dimensions of the filters and the upsampled filters in which we\n  // introduce (rate - 1) zeros between consecutive filter values.\n  const dilatedFilterShape = filterShape.map((s, i) => {\n    return s + (s - 1) * (dilation[i] - 1);\n  });\n  const padExtraShape = dilatedFilterShape.map(s => s - 1);\n\n  // When padding is odd, we pad more at end, following the same\n  // convention as conv2d.\n  const padExtraStart = padExtraShape.map(s => Math.floor(s / 2));\n  const padExtraEnd = padExtraShape.map((s, i) => s - padExtraStart[i]);\n  return padExtraShape.map((_, i) => {\n    return [padExtraStart[i], padExtraEnd[i]];\n  });\n}\n\n/**\n * Computes the 3D average pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.avgPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number,\n    ): T {\n  const $x = convertToTensor(x, 'x', 'avgPool3d', 'float32');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in avgPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in avgPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D) => {\n    return {\n      x: () => avgPool3dBackprop(\n          dy, x5D, filterSize, strides, dilations, pad, dimRoundingMode)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3d(x5D, convInfo), {x: x5D}, grad);\n  res = res.cast(x5D.dtype);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d avg pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction avgPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in avgPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in avgPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3dBackprop(dy5D, input5D, convInfo),\n      {dy5D, input5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 3D max pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.maxPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number): T {\n  const $x = convertToTensor(x, 'x', 'maxPool3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in maxPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in maxPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    const [x5D, y] = saved;\n    return {\n      x: () => maxPool3dBackprop(\n          dy, x5D as Tensor5D, y as Tensor5D, filterSize, strides, dilations,\n          pad, dimRoundingMode)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool3d(x5D, convInfo);\n    save([x5D, y]);\n    return y;\n  }, {x: x5D}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d max pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank 4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param output The original output image, of rank 5 of shape\n *     [batchSize, outDepth, outHeight, outWidth, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike, output: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'maxPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPool3dBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let output5D = $output as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n    output5D = $output.as5D(\n        1, $output.shape[0], $output.shape[1], $output.shape[2],\n        $output.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in maxPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in maxPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  util.assert(\n      output5D.rank === 5,\n      () => `Error in maxPool3dBackprop: output must be rank 5 but got rank ` +\n          `${output5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPool3dBackprop(dy5D, input5D, output5D, convInfo),\n      {dy5D, input5D});\n\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image with Argmax index.\n * The indices in argmax are flattened, so that a maximum value at position `[b,\n * y, x, c]` becomes flattened index: `(y * width + x) * channels + c` if\n * include_batch_in_index is False; `((b * height + y) * width + x) * channels\n * +c` if include_batch_in_index is True.\n *\n * The indices returned are always in `[0, height) x [0, width)` before\n * flattening.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param includeBatchIndex Defaults to False. Whether to include batch\n *    dimension in flattened index of argmax.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPoolWithArgmax_<T extends Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number,\n    pad: 'valid'|'same'|number, includeBatchInIndex = false): NamedTensorMap {\n  const $x = convertToTensor(x, 'x', 'maxPoolWithArgmax');\n\n  const attrs = {filterSize, strides, pad, includeBatchInIndex};\n\n  const result =\n      ENGINE.runKernel('MaxPoolWithArgmax', {x: $x}, attrs) as Tensor[];\n\n  return {result: result[0], indexes: result[1]};\n}\n\nexport const maxPool = op({maxPool_});\nexport const avgPool = op({avgPool_});\nexport const pool = op({pool_});\nexport const maxPool3d = op({maxPool3d_});\nexport const avgPool3d = op({avgPool3d_});\nexport const maxPoolWithArgmax = op({maxPoolWithArgmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {pad} from './pad';\nimport * as slice_util from './slice_util';\n\n/**\n * Extracts a 1D slice from 1D array starting at coordinates `begin` and is\n * of length `size`. See `slice` for details.\n */\nfunction slice1d_(\n    x: Tensor1D|TensorLike, begin: number, size: number): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'slice1d');\n  util.assert(\n      $x.rank === 1,\n      () =>\n          `slice1d expects a rank-1 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, [begin], [size]);\n}\n\n/**\n * Extracts a 2D slice from a 2D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice2d_(\n    x: Tensor2D|TensorLike, begin: [number, number],\n    size: [number, number]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'slice2d');\n  util.assert(\n      $x.rank === 2,\n      () =>\n          `slice2d expects a rank-2 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 3D slice from a 3D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice3d_(\n    x: Tensor3D|TensorLike, begin: [number, number, number],\n    size: [number, number, number]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'slice3d');\n  util.assert(\n      $x.rank === 3,\n      () =>\n          `slice3d expects a rank-3 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 4D slice from a 4D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice4d_(\n    x: Tensor4D|TensorLike, begin: [number, number, number, number],\n    size: [number, number, number, number]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'slice4d');\n  util.assert(\n      $x.rank === 4,\n      () =>\n          `slice4d expects a rank-4 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a slice from a `tf.Tensor` starting at coordinates `begin`\n * and is of size `size`.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `x` is of the given rank:\n *   - `tf.slice1d`\n *   - `tf.slice2d`\n *   - `tf.slice3d`\n *   - `tf.slice4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.slice([1], [2]).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * x.slice([1, 0], [1, 2]).print();\n * ```\n * @param x The input `tf.Tensor` to slice from.\n * @param begin The coordinates to start the slice from. The length can be\n *     less than the rank of x - the rest of the axes will have implicit 0 as\n *     start. Can also be a single number, in which case it specifies the\n *     first axis.\n * @param size The size of the slice. The length can be less than the rank of\n *     x - the rest of the axes will have implicit -1. A value of -1 requests\n *     the rest of the dimensions in the axis. Can also be a single number,\n *     in which case it specifies the size of the first axis.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction slice_<R extends Rank, T extends Tensor<R>>(\n    x: T|TensorLike, begin: number|number[], size?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'slice');\n\n  if ($x.rank === 0) {\n    throw new Error('Slicing scalar is not possible');\n  }\n  // The following logic allows for more ergonomic calls.\n  let begin_: number[];\n  if (typeof begin === 'number') {\n    begin_ = [begin, ...new Array($x.rank - 1).fill(0)];\n  } else if (begin.length < $x.rank) {\n    begin_ = begin.concat(new Array($x.rank - begin.length).fill(0));\n  } else {\n    begin_ = begin.slice();\n  }\n  begin_.forEach(d => {\n    util.assert(\n        d !== -1, () => 'slice() does not support negative begin indexing.');\n  });\n  let size_: number[];\n  if (size == null) {\n    size_ = new Array($x.rank).fill(-1);\n  } else if (typeof size === 'number') {\n    size_ = [size, ...new Array($x.rank - 1).fill(-1)];\n  } else if (size.length < $x.rank) {\n    size_ = size.concat(new Array($x.rank - size.length).fill(-1));\n  } else {\n    size_ = size;\n  }\n  size_ = size_.map((d, i) => {\n    if (d >= 0) {\n      return d;\n    } else {\n      util.assert(\n          d === -1,\n          () => `Negative size values should be exactly -1 but got ` +\n              `${d} for the slice() size at index ${i}.`);\n      return $x.shape[i] - begin_[i];\n    }\n  });\n  slice_util.assertParamsValid($x, begin_, size_);\n  const inputShape = $x.shape;\n  const grad = (dy: T) => {\n    // Create an Nx2 padding where the first column represents how many\n    // zeros are prepended (at start) for each dimension, and the second\n    // column indicates how many zeros are appended (at end).\n\n    // The number of zeros to append is the shape of the input\n    // elementwise-subtracted by both the begin vector and sizes vector.\n    const paddings: Array<[number, number]> = [];\n    for (let i = 0; i < dy.rank; i++) {\n      paddings.push([begin_[i], inputShape[i] - begin_[i] - size_[i]]);\n    }\n    return {x: () => pad(dy, paddings)};\n  };\n  const attrs = {begin: begin_, size: size_};\n  return ENGINE.runKernelFunc(\n      backend => backend.slice($x, begin_, size_), {x: $x}, grad, 'Slice',\n      attrs);\n}\n\nexport const slice = op({slice_});\nexport const slice1d = op({slice1d_});\nexport const slice2d = op({slice2d_});\nexport const slice3d = op({slice3d_});\nexport const slice4d = op({slice4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the log(sum(exp(elements across the reduction dimensions)).\n *\n * Reduces the input along the dimensions given in `axis`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.logSumExp().print();  // or tf.logSumExp(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.logSumExp(axis).print();  // or tf.logSumExp(a, axis)\n * ```\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. If null (the default),\n *     reduces all dimensions.\n * @param keepDims If true, retains reduced dimensions with length\n *     of 1. Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction logSumExp_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'logSumExp');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const xMax = $x.max(axes, true /* keepDims */);\n  const a = $x.sub(xMax);\n  const b = a.exp();\n  const c = b.sum(axes);\n  const d = c.log();\n  const res = xMax.reshape(d.shape).add(d);\n\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, axes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the sum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If axes has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.sum().print();  // or tf.sum(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.sum(axis).print();  // or tf.sum(x, axis)\n * ```\n *\n * @param x The input tensor to compute the sum over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction sum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'sum');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since sum is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const permutation = axis_util.getAxesPermutation(axes, x.rank);\n    let reductionAxes = axes;\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = x.transpose(permutation);\n      reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, x.rank);\n    }\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32'));\n      return derX;\n    };\n\n    const gradInputs = (dy: Tensor) => {\n      return {x: () => gradFunc(dy)};\n    };\n\n    const attrs = {axes: reductionAxes};\n    let value = ENGINE.runKernelFunc(\n        backend => backend.sum(permutedX, reductionAxes), {x: permutedX},\n        gradInputs, 'Sum', attrs);\n\n    if (keepDims) {\n      const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n      value = value.reshape(newShape);\n    }\n\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Computes the product of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.prod().print();  // or tf.prod(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.prod(axis).print();  // or tf.prod(x, axis)\n * ```\n *\n * @param x The input tensor to compute the product over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction prod_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'prod');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  const permutation = axis_util.getAxesPermutation(axes, $x.rank);\n  let reductionAxes = axes;\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n    reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, $x.rank);\n  }\n  let value = ENGINE.runKernelFunc(\n      backend => backend.prod(permutedX, reductionAxes), {permutedX});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n    value = value.reshape(newShape);\n  }\n\n  return value as T;\n}\n/**\n * Computes the mean of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces `x` along the dimensions given in `axis`. Unless `keepDims` is\n * true, the rank of the `tf.Tensor` is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and a `tf.Tensor` with\n * a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.mean().print();  // or tf.mean(a)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.mean(axis).print();  // or tf.mean(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction mean_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'mean');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const shapes = axis_util.computeOutAndReduceShapes($x.shape, axes);\n  const reduceShape = shapes[1];\n  const reduceSize = util.sizeFromShape(reduceShape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since mean is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const reduceSizeScalar = scalar(reduceSize);\n    // Cast if needed.\n    const xReduce =\n        reduceSizeScalar.dtype === x.dtype ? x : x.cast(reduceSizeScalar.dtype);\n    const res = xReduce.div(reduceSizeScalar);\n    const value = res.sum(axis, keepDims);\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32')).div(reduceSize);\n      return derX;\n    };\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Gradient helper function for the min and max operations.\n */\nfunction gradForMinAndMax<T extends Tensor>(\n    dy: T, y: T, xOrig: Tensor, origAxes: number[], permutedAxes: number[]) {\n  if (y.rank < xOrig.rank) {\n    y = y.reshape(axis_util.expandShapeToKeepDim(y.shape, origAxes)) as T;\n  }\n  if (dy.rank < xOrig.rank) {\n    dy = dy.reshape(axis_util.expandShapeToKeepDim(dy.shape, origAxes)) as T;\n  }\n  return {\n    x: () => {\n      const dx = dy.mul(xOrig.equal(y).cast(dy.dtype));\n      return permutedAxes == null ? dx : dx.transpose(permutedAxes);\n    }\n  };\n}\n\n/**\n * Computes the minimum value from the input.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axes`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axes` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.min().print();  // or tf.min(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.min(axis).print();  // or tf.min(x, axis)\n * ```\n *\n * @param x The input Tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction min_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'min');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.min($x, axes);\n    save([xOrig, y]);\n    return y as T;\n  }, {x: $x}, grad, 'Min', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res;\n}\n\n/**\n * Computes the maximum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.max().print();  // or tf.max(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.max(axis).print();  // or tf.max(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction max_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'max');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.max($x, axes);\n    save([xOrig, y]);\n    return y;\n  }, {x: $x}, grad, 'Max', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Returns the indices of the minimum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMin().print();  // or tf.argMin(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMin(axis).print();  // or tf.argMin(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMin_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMin');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => zerosLike($x)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMin($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {$x}, grad) as T;\n}\n\n/**\n * Returns the indices of the maximum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMax().print();  // or tf.argMax(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMax(axis).print();  // or tf.argMax(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMax_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMax');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => zerosLike($x)};\n  };\n  const attrs = {axis: axes[0]};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMax($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ArgMax', attrs, inputsToSave) as T;\n}\n\n/**\n * Computes the logical and of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.all().print();  // or tf.all(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.all(axis).print();  // or tf.all(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction all_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'all', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.all($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the logical or of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.any().print();  // or tf.any(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.any(axis).print();  // or tf.any(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction any_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'any', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.any($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Calculates the mean and variance of `x`. The mean and variance are\n * calculated by aggregating the contents of `x` across `axes`. If `x` is\n * 1-D and `axes = [0]` this is just the mean and variance of a vector.\n *\n * @param x The input tensor.\n * @param axis The dimension(s) along with to compute mean and\n *     variance. By default it reduces all dimensions.\n * @param keepDims If true, the moments have the same dimensionality as the\n *     input.\n * @return An object with two keys: `mean` and `variance`.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction moments_(\n    x: Tensor|TensorLike, axis: number|number[] = null,\n    keepDims = false): {mean: Tensor, variance: Tensor} {\n  x = convertToTensor(x, 'x', 'moments');\n  const axes = util.parseAxisParam(axis, x.shape);\n  const mean = x.mean(axes, keepDims);\n  let keepDimsShape = mean.shape;\n  if (!keepDims) {\n    keepDimsShape = axis_util.expandShapeToKeepDim(mean.shape, axes);\n  }\n  const devSquared = x.toFloat().sub(mean.reshape(keepDimsShape)).square();\n  const variance = devSquared.mean(axes, keepDims);\n  return {mean, variance};\n}\n\nexport const all = op({all_});\n// tslint:disable-next-line:variable-name\nexport const any = op({any_});\nexport const argMax = op({argMax_});\nexport const argMin = op({argMin_});\nexport const logSumExp = op({logSumExp_});\nexport const max = op({max_});\nexport const mean = op({mean_});\nexport const min = op({min_});\nexport const moments = op({moments_});\nexport const sum = op({sum_});\nexport const prod = op({prod_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {maximum} from './binary_ops';\nimport {getReductionAxes} from './broadcast_util';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {SELU_SCALE, SELU_SCALEALPHA} from './selu_util';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes rectified linear element-wise: `max(x, 0)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.relu().print();  // or tf.relu(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mulStrict($x.step().toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu');\n}\n\n/**\n * Computes rectified linear 6 element-wise: `min(max(x, 0), 6)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 8]);\n *\n * x.relu6().print();  // or tf.relu6(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu6_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu6');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    const mask = $x.lessEqual(6).mul($x.step());\n    return {x: () => dy.mulStrict(mask.toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu6($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu6');\n}\n\n/**\n * Computes exponential linear element-wise: `x > 0 ? e ^ x - 1 : 0`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 1, -3, 2]);\n *\n * x.elu().print();  // or tf.elu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction elu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'elu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {\n      $x: () =>\n          ENGINE.runKernelFunc(backend => backend.eluDer(dy, y), {dy, y}) as T\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.elu($x);\n    save([y]);\n    return y;\n  }, {$x}, grad);\n}\n\n/**\n * Computes scaled exponential linear element-wise.\n *\n * `x < 0 ? scale * alpha * (exp(x) - 1) : x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.selu().print();  // or tf.selu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction selu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'selu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => {\n        const mask = $x.greater(scalar(0));\n\n        const scaleAlpha = scalar(SELU_SCALEALPHA);\n        const scale = scalar(SELU_SCALE);\n\n        const greaterThanZeroDer = dy.mul(scale);\n        const lessEqualZeroDer = dy.mul(scaleAlpha).mul($x.toFloat().exp());\n\n        return where(mask, greaterThanZeroDer, lessEqualZeroDer) as T;\n      }\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.selu($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes leaky rectified linear element-wise.\n *\n * See\n * [http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf](\n *     http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf)\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.leakyRelu(0.1).print();  // or tf.leakyRelu(x, 0.1)\n * ```\n * @param x The input tensor.\n * @param alpha The scaling factor for negative values, defaults to 0.2.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction leakyRelu_<T extends Tensor>(x: T|TensorLike, alpha = 0.2): T {\n  const $x = convertToTensor(x, 'x', 'leakyRelu');\n  return maximum(scalar(alpha).mul($x), $x);\n}\n\n/**\n * Computes leaky rectified linear element-wise with parametric alphas.\n *\n * `x < 0 ? alpha * x : f(x) = x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n * const alpha = tf.scalar(0.1);\n *\n * x.prelu(alpha).print();  // or tf.prelu(x, alpha)\n * ```\n * @param x The input tensor.\n * @param alpha Scaling factor for negative values.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction prelu_<T extends Tensor>(x: T|TensorLike, alpha: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'prelu');\n  const $alpha = convertToTensor(alpha, 'alpha', 'prelu');\n\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$x, $alpha] = saved;\n    const mask = $x.greater(0);\n\n    return {\n      x: () => where(mask, dy, dy.mul($alpha)) as T,\n      alpha: () => {\n        let res = where(mask, zerosLike(dy), dy.mul($x));\n        const reduceAxes = getReductionAxes($alpha.shape, dy.shape);\n        if (reduceAxes.length > 0) {\n          res = res.sum(reduceAxes);\n        }\n        return res.reshape($alpha.shape) as T;\n      }\n    };\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.prelu($x, $alpha);\n    save([$x, $alpha]);\n    return res;\n  }, {x: $x, alpha: $alpha}, grad, 'Prelu') as T;\n}\n\nexport const elu = op({elu_});\nexport const leakyRelu = op({leakyRelu_});\nexport const prelu = op({prelu_});\nexport const relu = op({relu_});\nexport const relu6 = op({relu6_});\nexport const selu = op({selu_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Normalizes the activation of a local neighborhood across or within\n * channels.\n *\n * @param x The input tensor. The 4-D input tensor is treated as a 3-D array\n *     of 1D vectors (along the last dimension), and each vector is\n *     normalized independently.\n * @param depthRadius The number of adjacent channels in the 1D normalization\n *     window.\n * @param bias A constant bias term for the basis.\n * @param alpha A scale factor, usually positive.\n * @param beta An exponent.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction localResponseNormalization_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n  const $x = convertToTensor(x, 'x', 'localResponseNormalization');\n  util.assert(\n      $x.rank === 4 || $x.rank === 3,\n      () => `Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank ${$x.rank}.`);\n  util.assert(\n      util.isInt(depthRadius),\n      () => `Error in localResponseNormalization: depthRadius must be an ` +\n          `integer but got depthRadius ${depthRadius}.`);\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x4D: () => ENGINE.runKernelFunc(\n          backend => backend.LRNGrad(\n              dy, x4D as Tensor4D, y as Tensor4D, depthRadius, bias, alpha,\n              beta),\n          {})\n    };\n  };\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.localResponseNormalization4D(\n        x4D, depthRadius, bias, alpha, beta);\n    save([x4D, y]);\n    return y;\n  }, {x4D}, backward);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  } else {\n    return res as T;\n  }\n}\n\nexport const localResponseNormalization = op({localResponseNormalization_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {parseAxisParam} from '../util';\n\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Computes the norm of scalar, vectors, and matrices.\n * This function can compute several different vector norms (the 1-norm, the\n * Euclidean or 2-norm, the inf-norm, and in general the p-norm for p > 0)\n * and matrix norms (Frobenius, 1-norm, and inf-norm).\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.norm().print();  // or tf.norm(x)\n * ```\n *\n * @param x The input array.\n * @param ord Optional. Order of the norm. Supported norm types are\n * following:\n *\n *  | ord        | norm for matrices         | norm for vectors\n *  |------------|---------------------------|---------------------\n *  |'euclidean' |Frobenius norm             |2-norm\n *  |'fro'       |Frobenius norm\t           |\n *  |Infinity    |max(sum(abs(x), axis=1))   |max(abs(x))\n *  |-Infinity   |min(sum(abs(x), axis=1))   |min(abs(x))\n *  |1           |max(sum(abs(x), axis=0))   |sum(abs(x))\n *  |2           |                           |sum(abs(x)^2)^1/2*\n *\n * @param axis Optional. If axis is null (the default), the input is\n * considered a vector and a single vector norm is computed over the entire\n * set of values in the Tensor, i.e. norm(x, ord) is equivalent\n * to norm(x.reshape([-1]), ord). If axis is a integer, the input\n * is considered a batch of vectors, and axis determines the axis in x\n * over which to compute vector norms. If axis is a 2-tuple of integer it is\n * considered a batch of matrices and axis determines the axes in NDArray\n * over which to compute a matrix norm.\n * @param keepDims Optional. If true, the norm have the same dimensionality\n * as the input.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction norm_(\n    x: Tensor|TensorLike, ord: number|'euclidean'|'fro' = 'euclidean',\n    axis: number|number[] = null, keepDims = false): Tensor {\n  x = convertToTensor(x, 'x', 'norm');\n\n  const norm = normImpl(x, ord, axis);\n  let keepDimsShape = norm.shape;\n  if (keepDims) {\n    const axes = parseAxisParam(axis, x.shape);\n    keepDimsShape = axis_util.expandShapeToKeepDim(norm.shape, axes);\n  }\n  return norm.reshape(keepDimsShape);\n}\n\nfunction normImpl(\n    x: Tensor, p: number|string, axis: number|number[] = null): Tensor {\n  if (x.rank === 0) {\n    return x.abs();\n  }\n\n  // consider vector when no axis is specified\n  if (x.rank !== 1 && axis === null) {\n    return normImpl(x.reshape([-1]), p, axis);\n  }\n\n  // vector\n  if (x.rank === 1 || typeof axis === 'number' ||\n      Array.isArray(axis) && axis.length === 1) {\n    if (p === 1) {\n      return x.abs().sum(axis);\n    }\n    if (p === Infinity) {\n      return x.abs().max(axis);\n    }\n    if (p === -Infinity) {\n      return x.abs().min(axis);\n    }\n    if (p === 'euclidean' || p === 2) {\n      // norm(x, 2) = sum(abs(xi) ^ 2) ^ 1/2\n      return x.abs().pow(scalar(2, 'int32')).sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  // matrix (assumption axis[0] < axis[1])\n  if (Array.isArray(axis) && axis.length === 2) {\n    if (p === 1) {\n      return x.abs().sum(axis[0]).max(axis[1] - 1);\n    }\n    if (p === Infinity) {\n      return x.abs().sum(axis[1]).max(axis[0]);\n    }\n    if (p === -Infinity) {\n      return x.abs().sum(axis[1]).min(axis[0]);\n    }\n    if (p === 'fro' || p === 'euclidean') {\n      // norm(x) = sqrt(sum(pow(x, 2)))\n      return x.square().sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  throw new Error(`Error in norm: invalid axis: ${axis}`);\n}\n\nexport const norm = op({norm_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * @docalias (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D]\n */\nexport type LSTMCellFunc = {\n  (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D];\n};\n\n/**\n * Computes the next states and outputs of a stack of LSTMCells.\n *\n * Each cell output is used as input to the next cell.\n *\n * Returns `[cellState, cellOutput]`.\n *\n * Derived from tf.contrib.rn.MultiRNNCell.\n *\n * @param lstmCells Array of LSTMCell functions.\n * @param data The input to the cell.\n * @param c Array of previous cell states.\n * @param h Array of previous cell outputs.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction multiRNNCell_(\n    lstmCells: LSTMCellFunc[], data: Tensor2D|TensorLike,\n    c: Array<Tensor2D|TensorLike>,\n    h: Array<Tensor2D|TensorLike>): [Tensor2D[], Tensor2D[]] {\n  const $data = convertToTensor(data, 'data', 'multiRNNCell');\n  const $c = convertToTensorArray(c, 'c', 'multiRNNCell');\n  const $h = convertToTensorArray(h, 'h', 'multiRNNCell');\n\n  let input = $data;\n  const newStates = [];\n  for (let i = 0; i < lstmCells.length; i++) {\n    const output = lstmCells[i](input, $c[i], $h[i]);\n    newStates.push(output[0]);\n    newStates.push(output[1]);\n    input = output[1];\n  }\n  const newC: Tensor2D[] = [];\n  const newH: Tensor2D[] = [];\n  for (let i = 0; i < newStates.length; i += 2) {\n    newC.push(newStates[i]);\n    newH.push(newStates[i + 1]);\n  }\n  return [newC, newH];\n}\n\n/**\n * Computes the next state and output of a BasicLSTMCell.\n *\n * Returns `[newC, newH]`.\n *\n * Derived from tf.contrib.rnn.BasicLSTMCell.\n *\n * @param forgetBias Forget bias for the cell.\n * @param lstmKernel The weights for the cell.\n * @param lstmBias The bias for the cell.\n * @param data The input to the cell.\n * @param c Previous cell state.\n * @param h Previous cell output.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction basicLSTMCell_(\n    forgetBias: Scalar|TensorLike, lstmKernel: Tensor2D|TensorLike,\n    lstmBias: Tensor1D|TensorLike, data: Tensor2D|TensorLike,\n    c: Tensor2D|TensorLike, h: Tensor2D|TensorLike): [Tensor2D, Tensor2D] {\n  const $forgetBias =\n      convertToTensor(forgetBias, 'forgetBias', 'basicLSTMCell');\n  const $lstmKernel =\n      convertToTensor(lstmKernel, 'lstmKernel', 'basicLSTMCell');\n  const $lstmBias = convertToTensor(lstmBias, 'lstmBias', 'basicLSTMCell');\n  const $data = convertToTensor(data, 'data', 'basicLSTMCell');\n  const $c = convertToTensor(c, 'c', 'basicLSTMCell');\n  const $h = convertToTensor(h, 'h', 'basicLSTMCell');\n\n  const combined = $data.concat($h, 1);\n  const weighted = combined.matMul($lstmKernel);\n  const res: Tensor2D = weighted.add($lstmBias);\n\n  // i = input_gate, j = new_input, f = forget_gate, o = output_gate\n  const batchSize = res.shape[0];\n  const sliceCols = res.shape[1] / 4;\n  const sliceSize: [number, number] = [batchSize, sliceCols];\n  const i = res.slice([0, 0], sliceSize);\n  const j = res.slice([0, sliceCols], sliceSize);\n  const f = res.slice([0, sliceCols * 2], sliceSize);\n  const o = res.slice([0, sliceCols * 3], sliceSize);\n\n  const newC = i.sigmoid().mulStrict(j.tanh()).addStrict(\n      $c.mulStrict($forgetBias.add(f).sigmoid() as Tensor2D));\n  const newH = newC.tanh().mulStrict(o.sigmoid());\n  return [newC, newH];\n}\n\nexport const basicLSTMCell = op({basicLSTMCell_});\nexport const multiRNNCell = op({multiRNNCell_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor} from '../tensor';\nimport {assertTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {pow} from './binary_ops';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Compute the moving average of a variable.\n *\n * Without zeroDebias, the moving average operation is defined by:\n *   `v += delta`\n * where\n *   `delta = (1 - decay) * (x - v)`\n *\n * With zeroDebias (default), the `delta` term is scaled to debias the\n * effect of the (assumed) zero-initialization of `v`.\n *   `delta /= (1 - decay ^ step)`\n *\n * For more details on the zero-debiasing algorithm, see:\n *   https://arxiv.org/abs/1412.6980\n *\n * Note that this function is completely stateless and does not keep track of\n * step count. The step count needs to be maintained by the caller and passed\n * in as `step`.\n *\n * @param v The current moving average value.\n * @param x New input value, must have the same shape and dtype as `v`.\n * @param decay The decay factor. Typical values are 0.95 and 0.99.\n * @param step Step count.\n * @param zeroDebias: Whether zeroDebias is to be performed (default: `true`).\n * @returns The new moving average value.\n */\n/** @doc {heading: 'Operations', subheading: 'Moving Average'} */\nfunction movingAverage_<T extends Tensor>(\n    v: T|TensorLike, x: T|TensorLike, decay: number|Scalar,\n    step?: number|Scalar, zeroDebias = true): T {\n  const $v = convertToTensor(v, 'v', 'movingAverage');\n  const $x = convertToTensor(x, 'x', 'movingAverage');\n  const $decay = convertToTensor(decay, 'decay', 'movingAverage');\n\n  assertTypesMatch($v, $x);\n  util.assert(\n      util.arraysEqual($v.shape, $x.shape), () => 'Shape mismatch in v and x');\n\n  const one = scalar(1);\n  const oneMinusDecay = one.sub($decay);\n\n  let update = $x.sub($v).mul(oneMinusDecay);\n  if (zeroDebias) {\n    util.assert(\n        step != null, () => 'When using zeroDebias: true, step is required.');\n    const $step = convertToTensor(step, 'step', 'movingAverage');\n    update = update.div(one.sub(pow($decay, $step)));\n  }\n  return $v.add(update);\n}\n\nexport const movingAverage = op({movingAverage_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {slice} from './slice';\nimport {computeOutShape, maskToAxes, startForAxis, stopForAxis} from './slice_util';\n\n/**\n * Extracts a strided slice of a tensor.\n *\n * Roughly speaking, this op extracts a slice of size (end-begin)/stride from\n * the given input tensor (x). Starting at the location specified by begin the\n * slice continues by adding stride to the index until all dimensions are not\n * less than end. Note that a stride can be negative, which causes a reverse\n * slice.\n *\n * ```js\n * const t = tf.tensor3d([1, 1, 1 ,2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],\n *    [3, 2, 3]);\n * t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print()  // [[[3, 3, 3]]]\n * t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print()  // [[[3, 3, 3],\n *                                                     // [4, 4, 4]]]\n * t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],\n *                                                     // [3, 3, 3]]]\n * ```\n *\n * @param x The tensor to stride slice.\n * @param begin The coordinates to start the slice from.\n * @param end: The coordinates to end the slice at.\n * @param strides: The size of the slice.\n * @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param endMask: If the ith bit of endMask is set, end[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param shrinkAxisMask: a bitmask where bit i implies that\n * the ith specification should shrink the dimensionality. begin and end must\n * imply a slice of size 1 in the dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction stridedSlice_(\n    x: Tensor|TensorLike, begin: number[], end: number[], strides?: number[],\n    beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n    shrinkAxisMask = 0): Tensor {\n  if (strides == null) {\n    strides = new Array(begin.length);\n  }\n  if (ellipsisMask !== 0) {\n    throw new Error('ellipsis mask is not yet supported');\n  }\n  let $x = convertToTensor(x, 'x', 'stridedSlice');\n\n  // Expand the dims of x based on the newAxisMask.\n  const expandAxes = maskToAxes(newAxisMask);\n  const newShape = $x.shape.slice();\n  expandAxes.forEach(axis => {\n    begin[axis] = 0;\n    end[axis] = 1;\n    newShape.splice(axis, 0, 1);\n  });\n  $x = $x.reshape(newShape);\n\n  // Normalize the start, end and strides.\n  for (let axis = 0; axis < $x.rank; axis++) {\n    begin[axis] = startForAxis(beginMask, begin, strides, $x.shape, axis);\n    end[axis] = stopForAxis(endMask, end, strides, $x.shape, axis);\n    strides[axis] = strides[axis] || 1;\n  }\n\n  const shrinkAxes = maskToAxes(shrinkAxisMask);\n  // Adjust the ends based on the shrink mask.\n  shrinkAxes.forEach(axis => {\n    end[axis] = begin[axis] + 1;\n    strides[axis] = 1;\n  });\n\n  // Figure out the output shape.\n  const size = computeOutShape(begin, end, strides);\n  // Remove the axes based on shrinkMask.\n  const outShape = size.filter((_, axis) => shrinkAxes.indexOf(axis) === -1);\n\n  const nonStrided = strides.every(v => v === 1);\n  if (nonStrided) {\n    return slice($x, begin, size).reshape(outShape);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.stridedSlice($x, begin, end, strides), {$x});\n  return res.reshape(outShape);\n}\n\nexport const stridedSlice = op({stridedSlice_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {NumericTensor, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Finds the values and indices of the `k` largest entries along the last\n * dimension.\n *\n * If the input is a vector (rank=1), finds the k largest entries in the vector\n * and outputs their values and indices as vectors. Thus values[j] is the j-th\n * largest entry in input, and its index is indices[j].\n * For higher rank inputs, computes the top k entries along the last dimension.\n *\n * If two elements are equal, the lower-index element appears first.\n *\n * ```js\n * const a = tf.tensor2d([[1, 5], [4, 3]]);\n * const {values, indices} = tf.topk(a);\n * values.print();\n * indices.print();\n * ```\n * @param x 1-D or higher `tf.Tensor` with last dimension being at least `k`.\n * @param k Number of top elements to look for along the last dimension.\n * @param sorted If true, the resulting `k` elements will be sorted by the\n *     values in descending order.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nfunction topk_<T extends Tensor>(\n    x: T|TensorLike, k = 1, sorted = true): {values: T, indices: T} {\n  const $x = convertToTensor(x, 'x', 'topk');\n  if ($x.rank === 0) {\n    throw new Error('topk() expects the input to be of rank 1 or higher');\n  }\n  const lastDim = $x.shape[$x.shape.length - 1];\n  if (k > lastDim) {\n    throw new Error(\n        `'k' passed to topk() must be <= the last dimension (${lastDim}) ` +\n        `but got ${k}`);\n  }\n\n  const [values, indices] =\n      ENGINE.runKernelFunc(b => b.topk($x as NumericTensor, k, sorted), {$x});\n  return {values, indices} as {values: T, indices: T};\n}\n\nexport const topk = op({topk_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\nimport * as scatter_nd_util from './scatter_nd_util';\n\n/**\n * Creates a new tensor by applying sparse updates to individual\n * values or slices within a zero tensor of the given shape tensor according to\n * indices. This operator is the inverse of the `tf.gatherND` operator which\n * extracts values or slices from a given tensor.\n *\n * ```js\n * const indices = tf.tensor2d([4, 3, 1, 7], [4, 1], 'int32');\n * const updates = tf.tensor1d([9, 10, 11, 12]);\n * const shape = [8];\n * tf.scatterND(indices, updates, shape).print() //[0, 11, 0, 10, 9, 0, 0, 12]\n * ```\n *\n * @param indices The tensor contains the indices into the output tensor.\n * @param updates The tensor contains the value for the indices.\n * @param shape: The shape of the output tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction scatterND_<R extends Rank>(\n    indices: Tensor|TensorLike, updates: Tensor|TensorLike,\n    shape: ShapeMap[R]): Tensor<R> {\n  const $indices = convertToTensor(indices, 'indices', 'scatterND', 'int32');\n  const $updates = convertToTensor(updates, 'updates', 'scatterND');\n  scatter_nd_util.validateInput($updates, $indices, shape);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.scatterND($indices, $updates, shape),\n      {indices: $indices, updates: $updates}, null /* backward */, 'ScatterNd',\n      {shape});\n}\n\nexport const scatterND = op({scatterND_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {complex, imag, real} from '../ops/complex_ops';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {assert} from '../util';\nimport {scalar, zeros} from './tensor_ops';\n\n/**\n * Fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the inner-most\n * dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.fft().print();  // tf.spectral.fft(x).print();\n * ```\n * @param input The complex input to compute an fft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction fft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.fft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.fft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Inverse fast Fourier transform.\n *\n * Computes the inverse 1-dimensional discrete Fourier transform over the\n * inner-most dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.ifft().print();  // tf.spectral.ifft(x).print();\n * ```\n * @param input The complex input to compute an ifft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction ifft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.ifft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.ifft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Real value input fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n *\n * real.rfft().print();\n * ```\n * @param input The real value input to compute an rfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction rfft_(input: Tensor, fftLength?: number): Tensor {\n  assert(\n      input.dtype === 'float32',\n      () => `The dtype for rfft() must be real value but got ${input.dtype}`);\n\n  let innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  let adjustedInput: Tensor;\n  if (fftLength != null && fftLength < innerDimensionSize) {\n    // Need to crop\n    const begin = input.shape.map(v => 0);\n    const size = input.shape.map(v => v);\n    size[input.shape.length - 1] = fftLength;\n    adjustedInput = input.slice(begin, size);\n    innerDimensionSize = fftLength;\n  } else if (fftLength != null && fftLength > innerDimensionSize) {\n    // Need to pad with zeros\n    const zerosShape = input.shape.map(v => v);\n    zerosShape[input.shape.length - 1] = fftLength - innerDimensionSize;\n    adjustedInput = input.concat(zeros(zerosShape), input.shape.length - 1);\n    innerDimensionSize = fftLength;\n  } else {\n    adjustedInput = input;\n  }\n\n  // Complement the input with zero imaginary numbers.\n  const zerosInput = adjustedInput.zerosLike();\n  const complexInput =\n      complex(adjustedInput, zerosInput).as2D(batch, innerDimensionSize);\n\n  const ret = fft(complexInput);\n\n  // Exclude complex conjugations. These conjugations are put symmetrically.\n  const half = Math.floor(innerDimensionSize / 2) + 1;\n  const realValues = real(ret);\n  const imagValues = imag(ret);\n  const realComplexConjugate = realValues.split(\n      [half, innerDimensionSize - half], realValues.shape.length - 1);\n  const imagComplexConjugate = imagValues.split(\n      [half, innerDimensionSize - half], imagValues.shape.length - 1);\n\n  const outputShape = adjustedInput.shape.slice();\n  outputShape[adjustedInput.shape.length - 1] = half;\n\n  return complex(realComplexConjugate[0], imagComplexConjugate[0])\n      .reshape(outputShape);\n}\n\n/**\n * Inversed real value input fast Fourier transform.\n *\n * Computes the 1-dimensional inversed discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([0, 0, 0]);\n * const x = tf.complex(real, imag);\n *\n * x.irfft().print();\n * ```\n * @param input The real value input to compute an irfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction irfft_(input: Tensor): Tensor {\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  if (innerDimensionSize <= 2) {\n    const complexInput = input.as2D(batch, innerDimensionSize);\n    const ret = ifft(complexInput);\n    return real(ret);\n  } else {\n    // The length of unique components of the DFT of a real-valued signal\n    // is 2 * (input_len - 1)\n    const outputShape = [batch, 2 * (innerDimensionSize - 1)];\n    const realInput = real(input).as2D(batch, innerDimensionSize);\n    const imagInput = imag(input).as2D(batch, innerDimensionSize);\n\n    const realConjugate =\n        realInput.slice([0, 1], [batch, innerDimensionSize - 2]).reverse(1);\n    const imagConjugate: Tensor2D =\n        imagInput.slice([0, 1], [batch, innerDimensionSize - 2])\n            .reverse(1)\n            .mul(scalar(-1));\n\n    const r = realInput.concat(realConjugate, 1);\n    const i = imagInput.concat(imagConjugate, 1);\n    const complexInput = complex(r, i).as2D(outputShape[0], outputShape[1]);\n    const ret = ifft(complexInput);\n    return real(ret);\n  }\n}\n\nexport const fft = op({fft_});\nexport const ifft = op({ifft_});\nexport const rfft = op({rfft_});\nexport const irfft = op({irfft_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport * as sparse_to_dense from '../ops/sparse_to_dense_util';\nimport {Scalar, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ScalarLike, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Converts a sparse representation into a dense tensor.\n *\n * Builds an array dense with shape outputShape such that:\n *\n * // If sparseIndices is scalar\n * dense[i] = (i == sparseIndices ? sparseValues : defaultValue)\n *\n * // If sparseIndices is a vector, then for each i\n * dense[sparseIndices[i]] = sparseValues[i]\n *\n * // If sparseIndices is an n by d matrix, then for each i in [0, n)\n * dense[sparseIndices[i][0], ..., sparseIndices[i][d-1]] = sparseValues[i]\n * All other values in dense are set to defaultValue. If sparseValues is a\n * scalar, all sparse indices are set to this single value.\n *\n * If indices are repeated the final value is summed over all values for those\n * indices.\n *\n * ```js\n * const indices = tf.tensor1d([4, 5, 6, 1, 2, 3], 'int32');\n * const values = tf.tensor1d([10, 11, 12, 13, 14, 15], 'float32');\n * const shape = [8];\n * tf.sparseToDense(indices, values, shape).print();\n * ```\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape Shape of the dense output tensor. the type is inferred.\n * @param defaultValue Scalar. Value to set for indices not specified in\n * sparseIndices. Defaults to zero.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction sparseToDense_<R extends Rank>(\n    sparseIndices: Tensor|TensorLike, sparseValues: Tensor|TensorLike,\n    outputShape: ShapeMap[R], defaultValue: Scalar|ScalarLike = 0): Tensor<R> {\n  const $sparseIndices =\n      convertToTensor(sparseIndices, 'sparseIndices', 'sparseToDense', 'int32');\n  const $sparseValues =\n      convertToTensor(sparseValues, 'sparseValues', 'sparseToDense');\n  const $defaultValue = convertToTensor(\n      defaultValue, 'defaultValue', 'sparseToDense', $sparseValues.dtype);\n\n  sparse_to_dense.validateInput(\n      $sparseIndices, $sparseValues, outputShape, $defaultValue);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.sparseToDense(\n          $sparseIndices, $sparseValues, outputShape, $defaultValue),\n      {$sparseIndices, $sparseValues, $defaultValue});\n}\n\nexport const sparseToDense = op({sparseToDense_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\n\n/**\n * Validate sparseToDense inputs.\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape number[]. Shape of the dense output tensor.\n * @param validateIndices boolean. indice validation is not supported, error\n * will be thrown if it is set.\n */\nexport function validateInput(\n    sparseIndices: Tensor, sparseValues: Tensor, outputShape: number[],\n    defaultValues: Tensor) {\n  if (sparseIndices.dtype !== 'int32') {\n    throw new Error(\n        'tf.sparseToDense() expects the indices to be int32 type,' +\n        ` but the dtype was ${sparseIndices.dtype}.`);\n  }\n  if (sparseIndices.rank > 2) {\n    throw new Error(\n        'sparseIndices should be a scalar, vector, or matrix,' +\n        ` but got shape ${sparseIndices.shape}.`);\n  }\n\n  const numElems = sparseIndices.rank > 0 ? sparseIndices.shape[0] : 1;\n  const numDims = sparseIndices.rank > 1 ? sparseIndices.shape[1] : 1;\n\n  if (outputShape.length !== numDims) {\n    throw new Error(\n        'outputShape has incorrect number of elements:,' +\n        ` ${outputShape.length}, should be: ${numDims}.`);\n  }\n\n  const numValues = sparseValues.size;\n  if (!(sparseValues.rank === 0 ||\n        sparseValues.rank === 1 && numValues === numElems)) {\n    throw new Error(\n        'sparseValues has incorrect shape ' +\n        `${sparseValues.shape}, should be [] or [${numElems}]`);\n  }\n\n  if (sparseValues.dtype !== defaultValues.dtype) {\n    throw new Error('sparseValues.dtype must match defaultValues.dtype');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Gather slices from input tensor into a Tensor with shape specified by\n * `indices`.\n *\n * `indices` is an K-dimensional integer tensor, best thought of as a\n * (K-1)-dimensional tensor of indices into input, where each element defines a\n * slice of input:\n * output[\\\\(i_0, ..., i_{K-2}\\\\)] = input[indices[\\\\(i_0, ..., i_{K-2}\\\\)]]\n *\n * Whereas in `tf.gather`, `indices` defines slices into the first dimension of\n * input, in `tf.gatherND`, `indices` defines slices into the first N dimensions\n * of input, where N = indices.shape[-1].\n *\n * The last dimension of indices can be at most the rank of input:\n * indices.shape[-1] <= input.rank\n *\n * The last dimension of `indices` corresponds to elements\n * (if indices.shape[-1] == input.rank) or slices\n * (if indices.shape[-1] < input.rank) along dimension indices.shape[-1] of\n * input.\n * The output tensor has shape\n * indices.shape[:-1] + input.shape[indices.shape[-1]:]\n *\n * Note that on CPU, if an out of bound index is found, an error is returned. On\n * GPU, if an out of bound index is found, a 0 is stored in the corresponding\n * output value.\n *\n * ```js\n * const indices = tf.tensor2d([0, 1, 1, 0], [2,2], 'int32');\n * const input = tf.tensor2d([9, 10, 11, 12], [2, 2]);\n * tf.gatherND(input, indices).print() // [10, 11]\n * ```\n *\n * @param x The tensor from which to gather values.\n * @param indices Index tensor, must be of type int32.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction gatherND_(x: Tensor|TensorLike, indices: Tensor|TensorLike): Tensor {\n  const $indices = convertToTensor(indices, 'indices', 'gatherND', 'int32');\n  const $x = convertToTensor(x, 'x', 'gatherND');\n  return ENGINE.runKernelFunc(\n      backend => backend.gatherND($x, $indices), {x: $x, indices: $indices},\n      null /* backward */, 'GatherNd');\n}\nexport const gatherND = op({gatherND_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {op} from './operation';\n\n/**\n * Returns a diagonal tensor with a given diagonal values.\n *\n * Given a diagonal, this operation returns a tensor with the diagonal and\n * everything else padded with zeros.\n *\n * Assume the input has dimensions `[D1,..., Dk]`, then the output is a tensor\n * of rank 2k with dimensions `[D1,..., Dk, D1,..., Dk]`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * tf.diag(x).print()\n * ```\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4, 5, 6, 6, 8], [4, 2])\n *\n * tf.diag(x).print()\n * ```\n * @param x The input tensor.\n */\nfunction diag_(x: Tensor): Tensor {\n  const $x = convertToTensor(x, 'x', 'diag').flatten();\n  const outShape = [...x.shape, ...x.shape];\n  return ENGINE.runKernelFunc(backend => backend.diag($x), {$x})\n      .reshape(outShape);\n}\n\nexport const diag = op({diag_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {getNoiseShape} from './dropout_util';\nimport {op} from './operation';\nimport {randomUniform} from './random_uniform';\n\n/**\n * Computes dropout.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 2, 1]);\n * const rate = 0.75;\n * const output = tf.dropout(x, rate);\n * output.print();\n * ```\n *\n * @param x A floating point Tensor or TensorLike.\n * @param rate A float in the range [0, 1). The probability that each element\n *   of x is discarded.\n * @param noiseShape An array of numbers of type int32, representing the\n * shape for randomly generated keep/drop flags. If the noiseShape has null\n * value, it will be automatically replaced with the x's relative dimension\n * size. Optional.\n * @param seed Used to create random seeds. Optional.\n * @returns A Tensor of the same shape of x.\n */\n/** @doc {heading: 'Operations', subheading: 'Dropout'} */\nfunction dropout_(\n    x: Tensor|TensorLike, rate: number, noiseShape?: number[],\n    seed?: number|string): Tensor {\n  const $x = convertToTensor(x, 'x', 'dropout');\n\n  util.assert(\n      $x.dtype === 'float32',\n      () => `x has to be a floating point tensor since it's going to be ` +\n          `scaled, but got a ${$x.dtype} tensor instead.`);\n  util.assert(\n      rate >= 0 && rate < 1,\n      () => `rate must be a float in the range [0, 1), but got ${rate}.`);\n\n  if (rate === 0) {\n    return x instanceof Tensor ? $x.clone() : $x;\n  }\n\n  const $noiseShape = getNoiseShape($x, noiseShape);\n  const keepProb = 1 - rate;\n  const multiplier = randomUniform($noiseShape, 0, 1, 'float32', seed)\n                         .add(keepProb)\n                         .floor()\n                         .div(keepProb);\n\n  return $x.mul(multiplier);\n}\n\nexport const dropout = op({dropout_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\n/**\n * Normalize noise shape based on provided tensor and noise shape.\n *\n * @param x Tensor.\n * @param noiseShape The shape for the randomly generated keep/drop flags, as\n *   an array of numbers. Optional.\n * @returns Normalized noise shape.\n */\nexport function getNoiseShape(x: Tensor, noiseShape?: number[]): number[] {\n  if (noiseShape == null) {\n    return x.shape.slice();\n  }\n  if (util.arraysEqual(x.shape, noiseShape)) {\n    return noiseShape;\n  }\n  if (x.shape.length === noiseShape.length) {\n    const newDimension: number[] = [];\n    for (let i = 0; i < x.shape.length; i++) {\n      if (noiseShape[i] == null && x.shape[i] != null) {\n        newDimension.push(x.shape[i]);\n      } else {\n        newDimension.push(noiseShape[i]);\n      }\n    }\n    return newDimension;\n  }\n\n  return noiseShape;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor1D} from '../tensor';\n\nimport {mul} from './binary_ops';\nimport {concat} from './concat_split';\nimport {slice} from './slice';\nimport {rfft} from './spectral_ops';\nimport {fill, tensor1d, tensor2d} from './tensor_ops';\n\n/**\n * Generate a Hann window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hannWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hannWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.5, 0.5);\n}\n\n/**\n * Generate a hamming window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hammingWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hammingWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.54, 0.46);\n}\n\n/**\n * Expands input into frames of frameLength.\n * Slides a window size with frameStep.\n *\n * ```js\n * tf.signal.frame([1, 2, 3], 2, 1).print();\n * ```\n * @param signal The input tensor to be expanded\n * @param frameLength Length of each frame\n * @param frameStep The frame hop size in samples.\n * @param padEnd Whether to pad the end of signal with padValue.\n * @param padValue An number to use where the input signal does\n *     not exist when padEnd is True.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction frame_(\n    signal: Tensor1D, frameLength: number, frameStep: number, padEnd = false,\n    padValue = 0): Tensor {\n  let start = 0;\n  const output: Tensor[] = [];\n  while (start + frameLength <= signal.size) {\n    output.push(slice(signal, start, frameLength));\n    start += frameStep;\n  }\n\n  if (padEnd) {\n    while (start < signal.size) {\n      const padLen = (start + frameLength) - signal.size;\n      const pad = concat(\n          [slice(signal, start, frameLength - padLen),\n           fill([padLen], padValue)]);\n      output.push(pad);\n      start += frameStep;\n    }\n  }\n\n  if (output.length === 0) {\n    return tensor2d([], [0, frameLength]);\n  }\n\n  return concat(output).as2D(output.length, frameLength);\n}\n\n/**\n * Computes the Short-time Fourier Transform of signals\n * See: https://en.wikipedia.org/wiki/Short-time_Fourier_transform\n *\n * ```js\n * const input = tf.tensor1d([1, 1, 1, 1, 1])\n * tf.signal.stft(input, 3, 1).print();\n * ```\n * @param signal 1-dimensional real value tensor.\n * @param frameLength The window length of samples.\n * @param frameStep The number of samples to step.\n * @param fftLength The size of the FFT to apply.\n * @param windowFn A callable that takes a window length and returns 1-d tensor.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction stft_(\n    signal: Tensor1D, frameLength: number, frameStep: number,\n    fftLength?: number,\n    windowFn: (length: number) => Tensor1D = hannWindow): Tensor {\n  if (fftLength == null) {\n    fftLength = enclosingPowerOfTwo(frameLength);\n  }\n  const framedSignal = frame(signal, frameLength, frameStep);\n  const windowedSignal = mul(framedSignal, windowFn(frameLength));\n  const output: Tensor[] = [];\n  for (let i = 0; i < framedSignal.shape[0]; i++) {\n    output.push(rfft(windowedSignal.slice([i, 0], [1, frameLength]),\n      fftLength));\n  }\n  return concat(output);\n}\n\nfunction enclosingPowerOfTwo(value: number) {\n  // Return 2**N for integer N such that 2**N >= value.\n  return Math.floor(Math.pow(2, Math.ceil(Math.log(value) / Math.log(2.0))));\n}\n\nfunction cosineWindow(windowLength: number, a: number, b: number): Tensor1D {\n  const even = 1 - windowLength % 2;\n  const newValues = new Float32Array(windowLength);\n  for (let i = 0; i < windowLength; ++i) {\n    const cosArg = (2.0 * Math.PI * i) / (windowLength + even - 1);\n    newValues[i] = a - b * Math.cos(cosArg);\n  }\n  return tensor1d(newValues, 'float32');\n}\n\nexport const hannWindow = op({hannWindow_});\nexport const hammingWindow = op({hammingWindow_});\nexport const frame = op({frame_});\nexport const stft = op({stft_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {expandShapeToKeepDim} from './axis_util';\nimport {minimum} from './binary_ops';\nimport {op} from './operation';\nimport {ones, scalar} from './tensor_ops';\n\nexport enum Reduction {\n  NONE,\n  MEAN,\n  SUM,\n  SUM_BY_NONZERO_WEIGHTS\n}\n\n/**\n * Computes the weighted loss between two tensors.\n *\n * @param losses Tensor of shape `[batch_size, d1, ... dN]`.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `losses`, and must be broadcastable to `losses` (i.e., all\n *    dimensions must be either `1`, or the same as the corresponding\n *    `losses` dimension).\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction computeWeightedLoss_<T extends Tensor, O extends Tensor>(\n    losses: T|TensorLike, weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $losses = convertToTensor(losses, 'losses', 'computeWeightedLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'computeWeightedLoss');\n  }\n\n  const weightedLoss = ($weights == null) ? $losses : $losses.mul($weights);\n\n  if (reduction === Reduction.NONE) {\n    return weightedLoss as O;\n  }\n  if (reduction === Reduction.SUM) {\n    return weightedLoss.sum();\n  }\n  if (reduction === Reduction.MEAN) {\n    if ($weights == null) {\n      return weightedLoss.mean();\n    } else {\n      const broadcastFactor = $losses.size / $weights.size;\n      const result = weightedLoss.sum().div($weights.sum());\n      return broadcastFactor > 1 ? result.div(scalar(broadcastFactor)) :\n                                   result as O;\n    }\n  }\n  if (reduction === Reduction.SUM_BY_NONZERO_WEIGHTS) {\n    if ($weights == null) {\n      return weightedLoss.sum().div(scalar($losses.size));\n    } else {\n      const broadcastedWeights = $weights.mul(ones($losses.shape));\n\n      const numNonZeros =\n          broadcastedWeights.notEqual(scalar(0)).sum().toFloat();\n      return weightedLoss.sum().div(numNonZeros);\n    }\n  }\n\n  throw Error(`Unknown reduction: ${reduction}`);\n}\n\n/**\n * Computes the absolute difference loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction absoluteDifference_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'absoluteDifference');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'absoluteDifference');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'absoluteDifference');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in absoluteDifference: ');\n\n  const losses = $labels.sub($predictions).abs();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the mean squared error between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction meanSquaredError_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'meanSquaredError');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'meanSquaredError');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'meanSquaredError');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in meanSquaredError: ');\n\n  const losses = $labels.squaredDifference($predictions);\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the cosine distance loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param axis The dimension along which the cosine distance is computed.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction cosineDistance_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike, axis: number,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'cosineDistance');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'cosineDistance');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'cosineDistance');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in cosineDistance: ');\n\n  const one = scalar(1);\n  const losses = one.sub($labels.mul($predictions).sum(axis, true));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the Hinge loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction hingeLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $labels = convertToTensor(labels, 'labels', 'hingeLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'hingeLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'hingeLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in hingeLoss: ');\n\n  const one = scalar(1);\n  // Convert binary labels to (-1, 1)\n  $labels = scalar(2).mul($labels).sub(one);\n  const losses = one.sub($labels.mul($predictions)).relu();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the log loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param epsilon A small increment to avoid taking log of zero\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction logLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, epsilon = 1e-7,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'logLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'logLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'logLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in logLoss: ');\n\n  const one = scalar(1);\n  const epsilonScalar = scalar(epsilon);\n  const losses = $labels.mul($predictions.add(epsilonScalar).log())\n                     .neg()\n                     .sub(one.sub($labels).mul(\n                         one.sub($predictions).add(epsilonScalar).log()));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nfunction sigmoidCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, logits: T|TensorLike): O {\n  const $labels =\n      convertToTensor(labels, 'labels', 'sigmoidCrossEntropyWithLogits');\n  const $logits =\n      convertToTensor(logits, 'logits', 'sigmoidCrossEntropyWithLogits');\n  assertShapesMatch(\n      $labels.shape, $logits.shape, 'Error in sigmoidCrossEntropyWithLogits: ');\n\n  /**\n   * Implementation Details:\n   *\n   * For brevity, let `x = logits`, `z = labels`.  The logistic loss is\n   *     z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))\n   *   = z * -log(1 / (1 + exp(-x))) + (1 - z) * -log(exp(-x) / (1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (-log(exp(-x)) + log(1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (x + log(1 + exp(-x))\n   *   = (1 - z) * x + log(1 + exp(-x))\n   *   = x - x * z + log(1 + exp(-x))\n   *\n   *   For x < 0, to avoid overflow in exp(-x), we reformulate the above\n   *     x - x * z + log(1 + exp(-x))\n   *   = log(exp(x)) - x * z + log(1 + exp(-x))\n   *   = - x * z + log(1 + exp(x))\n   *\n   * Hence, to ensure stability and avoid overflow, the implementation uses\n   * this equivalent formulation:\n   *     max(x, 0) - x * z + log(1 + exp(-abs(x)))\n   */\n  const maxOutput = $logits.relu();\n  const outputXTarget = $logits.mul($labels);\n  const sigmoidOutput = $logits.abs().neg().exp().log1p();\n\n  return maxOutput.sub(outputXTarget).add(sigmoidOutput);\n}\n\n/**\n * Computes the sigmoid cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newMulticlassLabels = multiclassLabels * (1 - labelSmoothing)\n *                         + 0.5 * labelSmoothing\n *\n * @param multiClassLabels The ground truth output tensor of shape\n * [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction sigmoidCrossEntropy_<T extends Tensor, O extends Tensor>(\n    multiClassLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $multiClassLabels = convertToTensor(\n      multiClassLabels, 'multiClassLabels', 'sigmoidCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'sigmoidCrossEntropy');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'sigmoidCrossEntropy');\n  }\n  assertShapesMatch(\n      $multiClassLabels.shape, $logits.shape, 'Error in sigmoidCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const half = scalar(0.5);\n\n    $multiClassLabels = $multiClassLabels.mul(one.sub(labelSmoothingScalar))\n                            .add(half.mul(labelSmoothingScalar));\n  }\n  const losses = sigmoidCrossEntropyWithLogits_($multiClassLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the huber loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param delta Point where huber loss changes from quadratic to linear.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`.\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction huberLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, delta = 1.0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'huberLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'huberLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'huberLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in huberLoss: ');\n\n  const deltaScalar = scalar(delta);\n  const error = $predictions.sub($labels).abs();\n  const quadratic = minimum(error, deltaScalar);\n  const linear = error.sub(quadratic);\n\n  const losses =\n      scalar(0.5).mul(quadratic.square()).add(deltaScalar.mul(linear));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes softmax cross entropy between logits and labels.\n *\n * Measures the probability error in discrete classification tasks in which\n * the classes are mutually exclusive (each entry is in exactly one class).\n * For example, each CIFAR-10 image is labeled with one and only one label: an\n * image can be a dog or a truck, but not both.\n *\n * `NOTE`: While the classes are mutually exclusive, their probabilities need\n * not be. All that is required is that each row of labels is a valid\n * probability distribution. If they are not, the computation of the gradient\n * will be incorrect.\n *\n * `WARNING`: This op expects unscaled logits, since it performs a softmax on\n * logits internally for efficiency. Do not call this op with the output of\n * softmax, as it will produce incorrect results.\n *\n * logits and labels must have the same shape, e.g. [batch_size, num_classes]\n * and the same dtype.\n * @param labels The labels array.\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\nfunction softmaxCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T, logits: T, dim = -1): O {\n  if (dim === -1) {\n    dim = logits.rank - 1;\n  }\n\n  if (dim !== logits.rank - 1) {\n    throw Error(\n        `Softmax cross entropy along a non-last dimension is not yet ` +\n        `supported. Labels / logits was rank ${logits.rank} ` +\n        `and dim was ${dim}`);\n  }\n  // Use a custom gradient for numerical stability.\n  const customOp =\n      customGrad((labels: Tensor, logits: Tensor, save: GradSaveFunc) => {\n        // Reference:\n        //   1. http://cs231n.github.io/linear-classify/#softmax\n        //   2. https://blog.feedly.com/tricks-of-the-trade-logsumexp/\n        const keepDims = true;\n        const lse = logits.logSumExp([dim], keepDims);\n        const logResult = logits.toFloat().sub(lse);\n        save([labels, logResult]);\n\n        const costVector = logResult.mul(labels).neg();\n        const value: O = costVector.sum([dim]);\n\n        const gradFunc = (dy: O, saved: Tensor[]) => {\n          const [labels, logResult] = saved;\n          const dyShape = expandShapeToKeepDim(dy.shape, [dim]);\n          return [\n            dy.reshape(dyShape).mul(labels.toFloat().sub(logResult.exp())),\n            dy.reshape(dyShape).mul(logResult.exp().sub(labels.toFloat())),\n          ];\n        };\n        return {value, gradFunc};\n      });\n\n  return customOp(labels, logits);\n}\n\n/**\n * Computes the softmax cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newOnehotLabels = onehotLabels * (1 - labelSmoothing)\n *                         + labelSmoothing / numClasses\n *\n * @param onehotLabels One hot encoded labels\n *    [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or 1, and must be\n *    broadcastable to `loss`  of shape [batch_size]\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction softmaxCrossEntropy_<T extends Tensor, O extends Tensor>(\n    onehotLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $onehotLabels =\n      convertToTensor(onehotLabels, 'onehotLabels', 'softmaxCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'softmaxCrossEntropy');\n  let $weights: Tensor = null;\n\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'softmaxCrossEntropy');\n  }\n\n  assertShapesMatch(\n      $onehotLabels.shape, $logits.shape, 'Error in softmaxCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const numClasses = scalar($onehotLabels.shape[1]);\n\n    $onehotLabels = $onehotLabels.mul(one.sub(labelSmoothingScalar))\n                        .add(labelSmoothingScalar.div(numClasses));\n  }\n\n  const losses = softmaxCrossEntropyWithLogits_($onehotLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nexport const absoluteDifference = op({absoluteDifference_});\nexport const computeWeightedLoss = op({computeWeightedLoss_});\nexport const cosineDistance = op({cosineDistance_});\nexport const hingeLoss = op({hingeLoss_});\nexport const huberLoss = op({huberLoss_});\nexport const logLoss = op({logLoss_});\nexport const meanSquaredError = op({meanSquaredError_});\nexport const sigmoidCrossEntropy = op({sigmoidCrossEntropy_});\nexport const softmaxCrossEntropy = op({softmaxCrossEntropy_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch, getTypedArrayFromDType} from '../util';\nimport {tensor} from './tensor_ops';\n\n/**\n * Returns whether the targets are in the top K predictions.\n *\n * ```js\n * const predictions = tf.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);\n * const targets = tf.tensor1d([2, 0]);\n * const precision = await tf.inTopKAsync(predictions, targets);\n * precision.print();\n * ```\n * @param predictions 2-D or higher `tf.Tensor` with last dimension being\n *     at least `k`.\n * @param targets 1-D or higher `tf.Tensor`.\n * @param k Optional Number of top elements to look at for computing precision,\n *     default to 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nasync function inTopKAsync_<T extends Tensor, U extends Tensor>(\n    predictions: T|TensorLike, targets: U|TensorLike, k = 1): Promise<U> {\n  const $predictions = convertToTensor(predictions, 'predictions', 'inTopK');\n  const $targets = convertToTensor(targets, 'targets', 'inTopK');\n\n  assert(\n      $predictions.rank > 1,\n      () => 'inTopK() expects the predictions to be of rank 2 or higher, ' +\n          `but got ${$predictions.rank}`);\n  assert(\n      $predictions.rank - 1 === $targets.rank,\n      () => `predictions rank should be 1 larger than ` +\n          `targets rank, but got predictions rank ` +\n          `${$predictions.rank} and targets rank ${$targets.rank}`);\n  assertShapesMatch(\n      $predictions.shape.slice(0, $predictions.shape.length - 1),\n      $targets.shape,\n      `predictions's shape should be align with the targets' shape, ` +\n          'except the last dimension.');\n  const lastDim = $predictions.shape[$predictions.shape.length - 1];\n  assert(\n      k > 0 && k <= lastDim,\n      () => `'k' passed to inTopK() must be > 0 && <= the predictions last ` +\n          `dimension (${lastDim}), but got ${k}`);\n\n  const predictionsVals = await $predictions.data();\n  const targetsVals = await $targets.data();\n\n  // Reshape predictionsVals into a 2d tensor [batch, lastDim]\n  // and look up topK along lastDim.\n  const [batch, size] = [predictionsVals.length / lastDim, lastDim];\n  const precision = getTypedArrayFromDType('bool', batch);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = predictionsVals.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    precision[b] = 0;\n    for (let i = 0; i < k; i++) {\n      if (valAndInd[i].index === targetsVals[b]) {\n        precision[b] = 1;\n        break;\n      }\n    }\n  }\n\n  if (predictions !== $predictions) {\n    $predictions.dispose();\n  }\n  if (targets !== $targets) {\n    $targets.dispose();\n  }\n\n  // Output precision has the same shape as targets.\n  return tensor(precision, $targets.shape, 'bool') as U;\n}\n\nexport const inTopKAsync = inTopKAsync_;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Linear algebra ops.\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose} from '../globals';\nimport {Tensor, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {squeeze, stack, unstack} from './array_ops';\nimport {sub} from './binary_ops';\nimport {split} from './concat_split';\nimport {eye} from './eye';\nimport {logicalAnd, where} from './logical_ops';\nimport {norm} from './norm';\nimport {op} from './operation';\nimport {sum} from './reduction_ops';\nimport {range, scalar, tensor2d, zeros} from './tensor_ops';\n\n/**\n * Copy a tensor setting everything outside a central band in each innermost\n * matrix to zero.\n *\n * The band part is computed as follows: Assume input has `k` dimensions\n * `[I, J, K, ..., M, N]`, then the output is a tensor with the same shape where\n * `band[i, j, k, ..., m, n] = in_band(m, n) * input[i, j, k, ..., m, n]`.\n * The indicator function\n * `in_band(m, n) = (num_lower < 0 || (m-n) <= num_lower))`\n * `&& (num_upper < 0 || (n-m) <= num_upper)`\n *\n * ```js\n * const x = tf.tensor2d([[ 0,  1,  2, 3],\n *                        [-1,  0,  1, 2],\n *                        [-2, -1,  0, 1],\n *                        [-3, -2, -1, 0]]);\n * let y = tf.linalg.bandPart(x, 1, -1);\n * y.print(); // [[ 0,  1,  2, 3],\n *            //  [-1,  0,  1, 2],\n *            //  [ 0, -1,  0, 1],\n *            //  [ 0, 0 , -1, 0]]\n * let z = tf.linalg.bandPart(x, 2, 1);\n * z.print(); // [[ 0,  1,  0, 0],\n *            //  [-1,  0,  1, 0],\n *            //  [-2, -1,  0, 1],\n *            //  [ 0, -2, -1, 0]]\n * ```\n *\n * @param x Rank `k` tensor\n * @param numLower Number of subdiagonals to keep.\n *   If negative, keep entire lower triangle.\n * @param numUpper Number of subdiagonals to keep.\n *   If negative, keep entire upper triangle.\n * @returns Rank `k` tensor of the same shape as input.\n *   The extracted banded tensor.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction bandPart_<T extends Tensor>(\n    a: T|TensorLike, numLower: number, numUpper: number): T {\n  if (numLower % 1 !== 0) {\n    throw new Error(\n        `bandPart(): numLower must be an integer, got ${numLower}.`);\n  }\n  if (numUpper % 1 !== 0) {\n    throw new Error(\n        `bandPart(): numUpper must be an integer, got ${numUpper}.`);\n  }\n\n  const $a = convertToTensor(a, 'a', 'bandPart');\n\n  if ($a.rank < 2) {\n    throw new Error(`bandPart(): Rank must be at least 2, got ${$a.rank}.`);\n  }\n\n  const shape = $a.shape, [M, N] = $a.shape.slice(-2);\n\n  if (!(numLower <= M)) {\n    throw new Error(\n        `bandPart(): numLower (${numLower})` +\n        ` must not be greater than the number of rows (${M}).`);\n  }\n  if (!(numUpper <= N)) {\n    throw new Error(\n        `bandPart(): numUpper (${numUpper})` +\n        ` must not be greater than the number of columns (${N}).`);\n  }\n\n  if (numLower < 0) {\n    numLower = M;\n  }\n  if (numUpper < 0) {\n    numUpper = N;\n  }\n\n  const i = range(0, M, 1, 'int32').reshape([-1, 1]),\n        j = range(0, N, 1, 'int32'), ij = sub(i, j);\n\n  const inBand = logicalAnd(\n      ij.lessEqual(scalar(+numLower, 'int32')),\n      ij.greaterEqual(scalar(-numUpper, 'int32')));\n\n  const zero = zeros([M, N], $a.dtype);\n\n  return stack(unstack($a.reshape([-1, M, N]))\n                   .map(mat => where(inBand, mat, zero)))\n             .reshape(shape) as T;\n}\n\n/**\n * Gram-Schmidt orthogonalization.\n *\n * ```js\n * const x = tf.tensor2d([[1, 2], [3, 4]]);\n * let y = tf.linalg.gramSchmidt(x);\n * y.print();\n * console.log('Othogonalized:');\n * y.dot(y.transpose()).print();  // should be nearly the identity matrix.\n * console.log('First row direction maintained:');\n * const data = await y.array();\n * console.log(data[0][1] / data[0][0]);  // should be nearly 2.\n * ```\n *\n * @param xs The vectors to be orthogonalized, in one of the two following\n *   formats:\n *   - An Array of `tf.Tensor1D`.\n *   - A `tf.Tensor2D`, i.e., a matrix, in which case the vectors are the rows\n *     of `xs`.\n *   In each case, all the vectors must have the same length and the length\n *   must be greater than or equal to the number of vectors.\n * @returns The orthogonalized and normalized vectors or matrix.\n *   Orthogonalization means that the vectors or the rows of the matrix\n *   are orthogonal (zero inner products). Normalization means that each\n *   vector or each row of the matrix has an L2 norm that equals `1`.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction gramSchmidt_(xs: Tensor1D[]|Tensor2D): Tensor1D[]|Tensor2D {\n  let inputIsTensor2D: boolean;\n  if (Array.isArray(xs)) {\n    inputIsTensor2D = false;\n    assert(\n        xs != null && xs.length > 0,\n        () => 'Gram-Schmidt process: input must not be null, undefined, or ' +\n            'empty');\n    const dim = xs[0].shape[0];\n    for (let i = 1; i < xs.length; ++i) {\n      assert(\n          xs[i].shape[0] === dim,\n          () =>\n              'Gram-Schmidt: Non-unique lengths found in the input vectors: ' +\n              `(${(xs as Tensor1D[])[i].shape[0]} vs. ${dim})`);\n    }\n  } else {\n    inputIsTensor2D = true;\n    xs = split(xs, xs.shape[0], 0).map(x => squeeze(x, [0]));\n  }\n\n  assert(\n      xs.length <= xs[0].shape[0],\n      () => `Gram-Schmidt: Number of vectors (${\n                (xs as Tensor1D[]).length}) exceeds ` +\n          `number of dimensions (${(xs as Tensor1D[])[0].shape[0]}).`);\n\n  const ys: Tensor1D[] = [];\n  const xs1d = xs;\n  for (let i = 0; i < xs.length; ++i) {\n    ys.push(ENGINE.tidy(() => {\n      let x = xs1d[i];\n      if (i > 0) {\n        for (let j = 0; j < i; ++j) {\n          const proj = sum(ys[j].mulStrict(x)).mul(ys[j]);\n          x = x.sub(proj);\n        }\n      }\n      return x.div(norm(x, 'euclidean'));\n    }));\n  }\n\n  if (inputIsTensor2D) {\n    return stack(ys, 0) as Tensor2D;\n  } else {\n    return ys;\n  }\n}\n\n/**\n * Compute QR decomposition of m-by-n matrix using Householder transformation.\n *\n * Implementation based on\n *   [http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf]\n * (http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf)\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [3, 4]]);\n * let [q, r] = tf.linalg.qr(a);\n * console.log('Q');\n * q.print();\n * console.log('R');\n * r.print();\n * console.log('Orthogonalized');\n * q.dot(q.transpose()).print()  // should be nearly the identity matrix.\n * console.log('Reconstructed');\n * q.dot(r).print(); // should be nearly [[1, 2], [3, 4]];\n * ```\n *\n * @param x The `tf.Tensor` to be QR-decomposed. Must have rank >= 2. Suppose\n *   it has the shape `[..., M, N]`.\n * @param fullMatrices An optional boolean parameter. Defaults to `false`.\n *   If `true`, compute full-sized `Q`. If `false` (the default),\n *   compute only the leading N columns of `Q` and `R`.\n * @returns An `Array` of two `tf.Tensor`s: `[Q, R]`. `Q` is a unitary matrix,\n *   i.e., its columns all have unit norm and are mutually orthogonal.\n *   If `M >= N`,\n *     If `fullMatrices` is `false` (default),\n *       - `Q` has a shape of `[..., M, N]`,\n *       - `R` has a shape of `[..., N, N]`.\n *     If `fullMatrices` is `true` (default),\n *       - `Q` has a shape of `[..., M, M]`,\n *       - `R` has a shape of `[..., M, N]`.\n *   If `M < N`,\n *     - `Q` has a shape of `[..., M, M]`,\n *     - `R` has a shape of `[..., M, N]`.\n * @throws If the rank of `x` is less than 2.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction qr_(x: Tensor, fullMatrices = false): [Tensor, Tensor] {\n  if (x.rank < 2) {\n    throw new Error(\n        `qr() requires input tensor to have a rank >= 2, but got rank ${\n            x.rank}`);\n  } else if (x.rank === 2) {\n    return qr2d(x as Tensor2D, fullMatrices);\n  } else {\n    // Rank > 2.\n    // TODO(cais): Below we split the input into individual 2D tensors,\n    //   perform QR decomposition on them and then stack the results back\n    //   together. We should explore whether this can be parallelized.\n    const outerDimsProd = x.shape.slice(0, x.shape.length - 2)\n                              .reduce((value, prev) => value * prev);\n    const x2ds = unstack(\n        x.reshape([\n          outerDimsProd, x.shape[x.shape.length - 2],\n          x.shape[x.shape.length - 1]\n        ]),\n        0);\n    const q2ds: Tensor2D[] = [];\n    const r2ds: Tensor2D[] = [];\n    x2ds.forEach(x2d => {\n      const [q2d, r2d] = qr2d(x2d as Tensor2D, fullMatrices);\n      q2ds.push(q2d);\n      r2ds.push(r2d);\n    });\n    const q = stack(q2ds, 0).reshape(x.shape);\n    const r = stack(r2ds, 0).reshape(x.shape);\n    return [q, r];\n  }\n}\n\nfunction qr2d(x: Tensor2D, fullMatrices = false): [Tensor2D, Tensor2D] {\n  return ENGINE.tidy(() => {\n    if (x.shape.length !== 2) {\n      throw new Error(\n          `qr2d() requires a 2D Tensor, but got a ${x.shape.length}D Tensor.`);\n    }\n\n    const m = x.shape[0];\n    const n = x.shape[1];\n\n    let q = eye(m);     // Orthogonal transform so far.\n    let r = x.clone();  // Transformed matrix so far.\n\n    const one2D = tensor2d([[1]], [1, 1]);\n    let w: Tensor2D = one2D.clone();\n\n    const iters = m >= n ? n : m;\n    for (let j = 0; j < iters; ++j) {\n      // This tidy within the for-loop ensures we clean up temporary\n      // tensors as soon as they are no longer needed.\n      const rTemp = r;\n      const wTemp = w;\n      const qTemp = q;\n      [w, r, q] = ENGINE.tidy((): [Tensor2D, Tensor2D, Tensor2D] => {\n        // Find H = I - tau * w * w', to put zeros below R(j, j).\n        const rjEnd1 = r.slice([j, j], [m - j, 1]);\n        const normX = rjEnd1.norm();\n        const rjj = r.slice([j, j], [1, 1]);\n\n        // The sign() function returns 0 on 0, which causes division by zero.\n        const s = tensor2d([[-1]]).where(rjj.greater(0), tensor2d([[1]]));\n\n        const u1 = rjj.sub(s.mul(normX));\n        const wPre = rjEnd1.div(u1);\n        if (wPre.shape[0] === 1) {\n          w = one2D.clone();\n        } else {\n          w = one2D.concat(\n              wPre.slice([1, 0], [wPre.shape[0] - 1, wPre.shape[1]]) as\n                  Tensor2D,\n              0);\n        }\n        const tau = s.matMul(u1).div(normX).neg() as Tensor2D;\n\n        // -- R := HR, Q := QH.\n        const rjEndAll = r.slice([j, 0], [m - j, n]);\n        const tauTimesW: Tensor2D = tau.mul(w);\n        const wT: Tensor2D = w.transpose();\n        if (j === 0) {\n          r = rjEndAll.sub(tauTimesW.matMul(wT.matMul(rjEndAll)));\n        } else {\n          const rTimesTau: Tensor2D =\n              rjEndAll.sub(tauTimesW.matMul(wT.matMul(rjEndAll)));\n          r = r.slice([0, 0], [j, n]).concat(rTimesTau, 0);\n        }\n        const tawTimesWT: Tensor2D = tauTimesW.transpose();\n        const qAllJEnd = q.slice([0, j], [m, q.shape[1] - j]);\n        if (j === 0) {\n          q = qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tawTimesWT));\n        } else {\n          const qTimesTau: Tensor2D =\n              qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tawTimesWT));\n          q = q.slice([0, 0], [m, j]).concat(qTimesTau, 1);\n        }\n        return [w, r, q];\n      });\n      dispose([rTemp, wTemp, qTemp]);\n    }\n\n    if (!fullMatrices && m > n) {\n      q = q.slice([0, 0], [m, n]);\n      r = r.slice([0, 0], [n, n]);\n    }\n\n    return [q, r];\n  }) as [Tensor2D, Tensor2D];\n}\n\nexport const bandPart = op({bandPart_});\nexport const gramSchmidt = op({gramSchmidt_});\nexport const qr = op({qr_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {nonMaxSuppressionV3, nonMaxSuppressionV5} from '../backends/non_max_suppression_impl';\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Bilinear resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeBilinear_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeBilinear');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeBilinear: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () => `Error in resizeBilinear: new shape must 2D, but got shape ` +\n          `${size}.`);\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n\n  const [newHeight, newWidth] = size;\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeBilinear(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      x: () => ENGINE.runKernelFunc(\n          backend => backend.resizeBilinearBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(\n      forward, {x: batchImages}, backward, 'ResizeBilinear',\n      {alignCorners, newHeight, newWidth});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * NearestNeighbor resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeNearestNeighbor_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeNearestNeighbor');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeNearestNeighbor: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () =>\n          `Error in resizeNearestNeighbor: new shape must 2D, but got shape ` +\n          `${size}.`);\n  util.assert(\n      $images.dtype === 'float32' || $images.dtype === 'int32',\n      () => '`images` must have `int32` or `float32` as dtype');\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n  const [newHeight, newWidth] = size;\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeNearestNeighbor(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      batchImages: () => ENGINE.runKernelFunc(\n          backend => backend.resizeNearestNeighborBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(forward, {batchImages}, backward);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @return A 1D tensor with the selected box indices.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppression_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Tensor1D {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold};\n  return ENGINE.runKernelFunc(\n      b => b.nonMaxSuppression(\n          $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold),\n      {boxes: $boxes, scores: $scores}, null /* grad */, 'NonMaxSuppressionV3',\n      attrs);\n}\n\n/** This is the async version of `nonMaxSuppression` */\nasync function nonMaxSuppressionAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Promise<Tensor1D> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV3(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * This op also supports a Soft-NMS mode (c.f.\n * Bodla et al, https://arxiv.org/abs/1704.04503) where boxes reduce the score\n * of other overlapping boxes, therefore favoring different regions of the image\n * with high scores. To enable this Soft-NMS mode, set the `softNmsSigma`\n * parameter to be larger than 0.\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @param softNmsSigma A float representing the sigma parameter for Soft NMS.\n *     When sigma is 0, it falls back to nonMaxSuppression.\n * @return A map with the following properties:\n *     - selectedIndices: A 1D tensor with the selected box indices.\n *     - selectedScores: A 1D tensor with the corresponding scores for each\n *       selected box.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppressionWithScore_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): NamedTensorMap {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n\n  const result = ENGINE.runKernel(\n                     'NonMaxSuppressionV5', {boxes: $boxes, scores: $scores},\n                     attrs) as Tensor[];\n\n  return {selectedIndices: result[0], selectedScores: result[1]};\n}\n\n/** This is the async version of `nonMaxSuppressionWithScore` */\nasync function nonMaxSuppressionWithScoreAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): Promise<NamedTensorMap> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV5(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\nfunction nonMaxSuppSanityCheck(\n    boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma?: number): {\n  maxOutputSize: number,\n  iouThreshold: number,\n  scoreThreshold: number,\n  softNmsSigma: number\n} {\n  if (iouThreshold == null) {\n    iouThreshold = 0.5;\n  }\n  if (scoreThreshold == null) {\n    scoreThreshold = Number.NEGATIVE_INFINITY;\n  }\n  if (softNmsSigma == null) {\n    softNmsSigma = 0.0;\n  }\n\n  const numBoxes = boxes.shape[0];\n  maxOutputSize = Math.min(maxOutputSize, numBoxes);\n\n  util.assert(\n      0 <= iouThreshold && iouThreshold <= 1,\n      () => `iouThreshold must be in [0, 1], but was '${iouThreshold}'`);\n  util.assert(\n      boxes.rank === 2,\n      () => `boxes must be a 2D tensor, but was of rank '${boxes.rank}'`);\n  util.assert(\n      boxes.shape[1] === 4,\n      () =>\n          `boxes must have 4 columns, but 2nd dimension was ${boxes.shape[1]}`);\n  util.assert(scores.rank === 1, () => 'scores must be a 1D tensor');\n  util.assert(\n      scores.shape[0] === numBoxes,\n      () => `scores has incompatible shape with boxes. Expected ${numBoxes}, ` +\n          `but was ${scores.shape[0]}`);\n  util.assert(\n      0 <= softNmsSigma && softNmsSigma <= 1,\n      () => `softNmsSigma must be in [0, 1], but was '${softNmsSigma}'`);\n  return {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n}\n\n/**\n * Extracts crops from the input image tensor and resizes them using bilinear\n * sampling or nearest neighbor sampling (possibly with aspect ratio change)\n * to a common output size specified by crop_size.\n *\n * @param image 4d tensor of shape `[batch,imageHeight,imageWidth, depth]`,\n *     where imageHeight and imageWidth must be positive, specifying the\n *     batch of images from which to take crops\n * @param boxes 2d float32 tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the normalized\n *     coordinates of the box in the boxInd[i]'th image in the batch\n * @param boxInd 1d int32 tensor of shape `[numBoxes]` with values in range\n *     `[0, batch)` that specifies the image that the `i`-th box refers to.\n * @param cropSize 1d int32 tensor of 2 elements `[cropHeigh, cropWidth]`\n *     specifying the size to which all crops are resized to.\n * @param method Optional string from `'bilinear' | 'nearest'`,\n *     defaults to bilinear, which specifies the sampling method for resizing\n * @param extrapolationValue A threshold for deciding when to remove boxes based\n *     on score. Defaults to 0.\n * @return A 4D tensor of the shape `[numBoxes,cropHeight,cropWidth,depth]`\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction cropAndResize_(\n    image: Tensor4D|TensorLike,\n    boxes: Tensor2D|TensorLike,\n    boxInd: Tensor1D|TensorLike,\n    cropSize: [number, number],\n    method?: 'bilinear'|'nearest',\n    extrapolationValue?: number,\n    ): Tensor4D {\n  const $image = convertToTensor(image, 'image', 'cropAndResize');\n  const $boxes = convertToTensor(boxes, 'boxes', 'cropAndResize', 'float32');\n  const $boxInd = convertToTensor(boxInd, 'boxInd', 'cropAndResize', 'int32');\n  method = method || 'bilinear';\n  extrapolationValue = extrapolationValue || 0;\n\n  const numBoxes = $boxes.shape[0];\n\n  util.assert(\n      $image.rank === 4,\n      () => 'Error in cropAndResize: image must be rank 4,' +\n          `but got rank ${$image.rank}.`);\n  util.assert(\n      $boxes.rank === 2 && $boxes.shape[1] === 4,\n      () => `Error in cropAndResize: boxes must be have size [${numBoxes},4] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      $boxInd.rank === 1 && $boxInd.shape[0] === numBoxes,\n      () => `Error in cropAndResize: boxInd must be have size [${numBoxes}] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      cropSize.length === 2,\n      () => `Error in cropAndResize: cropSize must be of length 2, but got ` +\n          `length ${cropSize.length}.`);\n  util.assert(\n      cropSize[0] >= 1 && cropSize[1] >= 1,\n      () => `cropSize must be atleast [1,1], but was ${cropSize}`);\n  util.assert(\n      method === 'bilinear' || method === 'nearest',\n      () => `method must be bilinear or nearest, but was ${method}`);\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) =>\n      backend.cropAndResize(\n          $image, $boxes, $boxInd, cropSize, method, extrapolationValue);\n\n  const res = ENGINE.runKernelFunc(\n      forward, {images: $image, boxes: $boxes, boxInd: $boxInd}, null /* der */,\n      'CropAndResize', {method, extrapolationValue, cropSize});\n  return res;\n}\n\nexport const resizeBilinear = op({resizeBilinear_});\nexport const resizeNearestNeighbor = op({resizeNearestNeighbor_});\nexport const nonMaxSuppression = op({nonMaxSuppression_});\nexport const nonMaxSuppressionAsync = nonMaxSuppressionAsync_;\nexport const nonMaxSuppressionWithScore = op({nonMaxSuppressionWithScore_});\nexport const nonMaxSuppressionWithScoreAsync = nonMaxSuppressionWithScoreAsync_;\nexport const cropAndResize = op({cropAndResize_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\n\nimport {Conv2DInfo} from './conv_util';\n\nexport type Activation = 'linear'|'relu'|'prelu'|'elu'|'relu6';\n\nexport type FusedBatchMatMulConfig = {\n  a: Tensor3D,\n  b: Tensor3D,\n  transposeA: boolean,\n  transposeB: boolean,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\nexport type FusedConv2DConfig = {\n  input: Tensor4D,\n  filter: Tensor4D,\n  convInfo: Conv2DInfo,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\n// Whether we should call fused ops.\nexport const shouldFuse = (gradientDepth: number, activation: Activation) => {\n  const gradientMode = gradientDepth > 0;\n  return !gradientMode || activation === 'linear';\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {conv2dDerFilter, conv2dDerInput, depthwiseConv2dDerFilter, depthwiseConv2dDerInput} from '../ops/conv';\nimport * as conv_util from '../ops/conv_util';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './add';\nimport * as broadcast_util from './broadcast_util';\nimport {conv2d as unfusedConv2d, depthwiseConv2d as unfusedDepthwiseConv2d} from './conv';\nimport {Activation, shouldFuse} from './fused_util';\nimport {matMul as unfusedMatMul} from './matmul';\nimport {elu, prelu, relu, relu6} from './relu_ops';\n\n// Returns gradient for fused activation.\nconst getFusedDyActivation =\n    (dy: Tensor, y: Tensor, activation: Activation): Tensor => {\n      if (activation == null || activation === 'linear') {\n        return dy;\n      }\n      if (activation === 'relu') {\n        return dy.mul(y.step());\n      }\n      throw new Error(\n          `Gradient for activation ${activation} has not been ` +\n          `implemented yet.`);\n    };\n\n// Returns gradient for fused bias.\nconst getFusedBiasGradient = (bias: Tensor, dyActivation: Tensor): Tensor => {\n  let res = dyActivation;\n  const reduceAxes =\n      broadcast_util.getReductionAxes(bias.shape, dyActivation.shape);\n  if (reduceAxes.length > 0) {\n    res = res.sum(reduceAxes);\n  }\n  return res.reshape(bias.shape);\n};\n\nconst applyActivation =\n    (x: Tensor, activation: Activation, preluActivationWeights?: Tensor):\n        Tensor => {\n          if (activation === 'linear') {\n            return x;\n          } else if (activation === 'relu') {\n            return relu(x);\n          } else if (activation === 'elu') {\n            return elu(x);\n          } else if (activation === 'relu6') {\n            return relu6(x);\n          } else if (activation === 'prelu') {\n            return prelu(x, preluActivationWeights);\n          }\n          throw new Error(`Unknown fused activation ${activation}.`);\n        };\n\n/**\n * Computes the dot product of two matrices with optional activation and bias.\n *\n * ```js\n * const a = tf.tensor2d([-1, -2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const bias = tf.tensor2d([1, 2], [1, 2]);\n *\n * tf.fused.matMul({a, b, bias, activation: 'relu'}).print();\n * ```\n *\n * @param obj An object with the following properties:\n * - `a` First matrix in dot product operation.\n * - `b` Second matrix in dot product operation.\n * - `transposeA` If true, `a` is transposed before multiplication.\n * - `transposeB` If true, `b` is transposed before multiplication.\n * - `bias` Matrix to be added to the result.\n * - `activation` Name of activation kernel (defaults to `linear`).\n * - `preluActivationWeights` Tensor of prelu weights.\n */\nfunction fusedMatMul_<T extends Tensor>({\n  a,\n  b,\n  transposeA = false,\n  transposeB = false,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  a: T|TensorLike,\n  b: T|TensorLike,\n  transposeA?: boolean,\n  transposeB?: boolean,\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedMatMul(a, b, transposeA, transposeB);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  let $a = convertToTensor(a, 'a', 'fused matMul');\n  let $b = convertToTensor(b, 'b', 'fused matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () =>\n          `Error in fused matMul: inputs must have the same rank of at least ` +\n          `2, got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in fused matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused matMul');\n    [$bias] = makeTypesMatch($bias, $a);\n\n    broadcast_util.assertAndGetBroadcastShape(outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused matMul');\n  }\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D, y] = saved;\n    const dyActivation = getFusedDyActivation(dy, y, activation);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    if (!transposeA && !transposeB) {\n      return Object.assign(\n          {\n            a: () => dyActivation.matMul(b3D as Tensor3D, false, true),\n            b: () => a3D.matMul(dyActivation, true, false)\n          },\n          biasGradient);\n    } else if (!transposeA && transposeB) {\n      return Object.assign(\n          {\n            a: () => dyActivation.matMul(b3D as Tensor3D, false, false),\n            b: () => dyActivation.matMul(a3D as Tensor3D, true, false)\n          },\n          biasGradient);\n    } else if (transposeA && !transposeB) {\n      return Object.assign(\n          {\n            a: () => b3D.matMul(dyActivation, false, true),\n            b: () => a3D.matMul(dyActivation, false, false)\n          },\n          biasGradient);\n    } else {\n      return Object.assign(\n          {\n            a: () => b3D.matMul(dyActivation, true, true),\n            b: () => dyActivation.matMul(a3D as Tensor3D, true, true)\n          },\n          biasGradient);\n    }\n  };\n\n  const inputs:\n      {a: Tensor, b: Tensor,\n       bias?: Tensor,\n       preluActivationWeights?: Tensor} = {a: a3D, b: b3D};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [a3D, b3D];\n  const outputsToSave = [true];\n\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.fusedBatchMatMul({\n          a: a3D,\n          b: b3D,\n          transposeA,\n          transposeB,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([a3D, b3D, y]);\n        return y;\n      },\n      inputs, grad, '_FusedMatMul', {transposeA, transposeB, activation},\n      inputsToSave, outputsToSave);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x, optionally fused with adding a\n * bias and applying an activation.\n *\n * ```js\n * const inputDepth = 2;\n * const inShape = [2, 2, 2, inputDepth];\n * const outputDepth = 2;\n * const fSize = 1;\n * const pad = 0;\n * const strides = 1;\n *\n * const x = tf.tensor4d( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n * 16], inShape);\n * const w = tf.tensor4d([-1, 1, -2, 0.5], [fSize, fSize, inputDepth,\n * outputDepth]);\n *\n * tf.fused.conv2d({ x, filter: w, strides, pad, dataFormat: 'NHWC',\n * dilations: [1, 1], bias: tf.scalar(5), activation: 'relu' }).print();\n * ```\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid` output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`) to be\n *     applied\n *      after biasAdd.\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  activation = activation || 'linear';\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused conv2d: input must be rank 4, but got rank ` +\n          `${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${x4D.shape[3]}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NHWC',\n      () => `Error in conv2d: got dataFormat of ${\n          dataFormat} but only NHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused conv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D, y] = saved as [Tensor4D, Tensor4D, Tensor4D];\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused conv2D: ' +\n            `dilation rates greater than 1 ` +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () =>\n              conv2dDerInput(x4D.shape, dyActivation, $filter, strides, pad),\n          filter: () =>\n              conv2dDerFilter(x4D, dyActivation, $filter.shape, strides, pad)\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];  // Save the only output.\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedConv2d({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedConv2D', {convInfo, activation}, inputsToSave,\n      outputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes depthwise 2D convolution, optionally fused with adding a\n * bias and applying an activation.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`).\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedDepthwiseConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedDepthwiseConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused depthwiseConv2d: filter must be rank 4, ` +\n          `but got rank ${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in fused depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in fused depthwiseConv2d: Either strides or dilations must ' +\n          `be 1. Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused depthwiseConv2d: pad must be an integer when ` +\n            `using dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused depthwiseConv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [$filter, x4D, y] = saved;\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () => depthwiseConv2dDerInput(\n              (x4D as Tensor4D).shape, dyActivation, $filter as Tensor4D,\n              convInfo),\n          filter: () => depthwiseConv2dDerFilter(\n              x4D as Tensor4D, dyActivation, ($filter as Tensor4D).shape,\n              convInfo),\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedDepthwiseConv2D({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedDepthwiseConv2D', {convInfo, activation},\n      inputsToSave, outputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nexport const matMul = op({fusedMatMul_});\nexport const conv2d = op({fusedConv2d_});\nexport const depthwiseConv2d = op({fusedDepthwiseConv2d_});\n\nexport {Activation};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../kernel_registry';\nimport {assert} from '../../util';\n\nexport function assertNotComplex(\n    tensor: TensorInfo|TensorInfo[], opName: string): void {\n  if (!Array.isArray(tensor)) {\n    tensor = [tensor];\n  }\n  tensor.forEach(t => {\n    if (t != null) {\n      assert(\n          t.dtype !== 'complex64',\n          () => `${opName} does not support complex64 tensors.`);\n    }\n  });\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as ops from '../../ops/ops';\nimport {buffer} from '../../ops/ops';\nimport {TensorBuffer} from '../../tensor';\nimport {DataType, Rank, TypedArray} from '../../types';\n\nexport function pool(\n    xValues: TypedArray, xShape: number[], dtype: DataType, strides: number[],\n    convInfo: Conv2DInfo, poolType: 'max'|'avg'): TensorBuffer<Rank, DataType> {\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padTop = convInfo.padInfo.top;\n  const padLeft = convInfo.padInfo.left;\n\n  const initialValue =\n      (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                            Number.POSITIVE_INFINITY);\n\n  const output = ops.buffer(convInfo.outShape, dtype);\n  const outputVals = output.values;\n\n  const outputBatchStrides =\n      convInfo.outShape[1] * convInfo.outShape[2] * convInfo.outShape[3];\n  const outputRowStrides = convInfo.outShape[2] * convInfo.outShape[3];\n  const outputColStrides = convInfo.outShape[3];\n\n  for (let b = 0; b < convInfo.batchSize; ++b) {\n    const outputBatchOffset = b * outputBatchStrides;\n    const inputBatchOffset = b * strides[0];\n    for (let d = 0; d < convInfo.inChannels; ++d) {\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const xRCorner = yR * strideHeight - padTop;\n        const xRMin = Math.max(0, xRCorner);\n        const xRMax =\n            Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n        const outputRowOffset = outputBatchOffset + yR * outputRowStrides;\n        for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n          const xCCorner = yC * strideWidth - padLeft;\n          const xCMin = Math.max(0, xCCorner);\n          const xCMax =\n              Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n          let minMaxValue = initialValue;\n          let avgValue = 0;\n          let count = 0;\n          for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n            const xROffset = inputBatchOffset + xR * strides[1];\n            for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n              const xCOffset = xROffset + xC * strides[2];\n              const pixel = xValues[xCOffset + d];\n              if ((poolType === 'max' && pixel > minMaxValue)) {\n                minMaxValue = pixel;\n              } else if (poolType === 'avg') {\n                avgValue += pixel;\n                count++;\n              }\n            }\n            if (isNaN(minMaxValue)) {\n              break;\n            }\n          }\n          const outputOffset = outputRowOffset + yC * outputColStrides + d;\n          outputVals[outputOffset] =\n              poolType === 'avg' ? avgValue / count : minMaxValue;\n        }\n      }\n    }\n  }\n  return output;\n}\n\nexport function maxPoolPositions(\n    xValues: TypedArray, xShape: number[], dtype: DataType,\n    convInfo: Conv2DInfo, flattenPositions = false,\n    includeBatchInIndex = false): TensorBuffer<Rank, 'int32'> {\n  const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padTop = convInfo.padInfo.top;\n  const padLeft = convInfo.padInfo.left;\n\n  const xBuf = buffer(xShape, dtype, xValues);\n  for (let b = 0; b < convInfo.batchSize; ++b) {\n    for (let d = 0; d < convInfo.inChannels; ++d) {\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const xRCorner = yR * strideHeight - padTop;\n        let xRMin = xRCorner;\n        while (xRMin < 0) {\n          xRMin += dilationHeight;\n        }\n        // const xRMin = Math.max(0, xRCorner);\n        const xRMax =\n            Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n        for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n          const xCCorner = yC * strideWidth - padLeft;\n          let xCMin = xCCorner;\n          while (xCMin < 0) {\n            xCMin += dilationWidth;\n          }\n          const xCMax =\n              Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n          let maxValue = Number.NEGATIVE_INFINITY;\n          let maxPosition = -1;\n\n          for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n            const wR = xR - xRCorner;\n            for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n              const wC = xC - xCCorner;\n              const pixel = xBuf.get(b, xR, xC, d);\n              if (pixel > maxValue) {\n                maxValue = pixel as number;\n                if (flattenPositions) {\n                  maxPosition = includeBatchInIndex ?\n                      ((b * convInfo.inHeight + xR) * convInfo.inWidth + xC) *\n                              convInfo.inChannels +\n                          d :\n                      (xR * convInfo.inWidth + xC) * convInfo.inChannels + d;\n                } else {\n                  maxPosition = wR * effectiveFilterWidth + wC;\n                }\n              }\n            }\n          }\n          maxPositions.set(maxPosition, b, yR, yC, d);\n        }\n      }\n    }\n  }\n  return maxPositions;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {ENGINE} from '../../engine';\nimport {env} from '../../environment';\nimport {warn} from '../../log';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport * as concat_util from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {div} from '../../ops/div';\nimport * as erf_util from '../../ops/erf_util';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as ops from '../../ops/ops';\nimport {buffer, scalar, tensor, tensor4d} from '../../ops/ops';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as selu_util from '../../ops/selu_util';\nimport {computeFlatOffset, computeOutShape, isSliceContinous} from '../../ops/slice_util';\nimport {transpose} from '../../ops/transpose';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer} from '../../tensor';\nimport {BackendValues, DataType, DataValues, NumericDataType, Rank, ShapeMap, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, inferDtype, now, sizeFromShape} from '../../util';\nimport {BackendTimingInfo, DataStorage, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport * as complex_util from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {assertNotComplex} from './cpu_util';\nimport {maxPoolPositions, pool} from './pool_utils';\n\nfunction mapActivation(\n    backend: MathBackendCPU, x: Tensor, activation: Activation,\n    preluActivationWeights?: Tensor): Tensor {\n  if (activation === 'linear') {\n    return backend.linear(x);\n  } else if (activation === 'relu') {\n    return backend.relu(x);\n  } else if (activation === 'elu') {\n    return backend.elu(x);\n  } else if (activation === 'relu6') {\n    return backend.relu6(x);\n  } else if (activation === 'prelu') {\n    return backend.prelu(x, preluActivationWeights);\n  }\n  throw new Error(\n      `Activation ${activation} has not been implemented for the CPU backend.`);\n}\n\nexport interface TensorData<D extends DataType> {\n  values?: BackendValues;\n  dtype: D;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field.\n  // TODO(smilkov): Replace Tensor with TensorInfo when you modularize ops\n  // that work with complex tensors.\n  complexTensors?: {real: Tensor, imag: Tensor};\n}\n\nexport class MathBackendCPU extends KernelBackend {\n  public blockSize = 48;\n\n  data: DataStorage<TensorData<DataType>>;\n  private firstUse = true;\n\n  constructor() {\n    super();\n    this.data = new DataStorage(this, ENGINE);\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (this.firstUse) {\n      this.firstUse = false;\n      if (env().get('IS_NODE')) {\n        warn(\n            '\\n============================\\n' +\n            'Hi there 👋. Looks like you are running TensorFlow.js in ' +\n            'Node.js. To speed things up dramatically, install our node ' +\n            'backend, which binds to TensorFlow C++, by running ' +\n            'npm i @tensorflow/tfjs-node, ' +\n            'or npm i @tensorflow/tfjs-node-gpu if you have CUDA. ' +\n            'Then call require(\\'@tensorflow/tfjs-node\\'); (-gpu ' +\n            'suffix for CUDA) at the start of your program. ' +\n            'Visit https://github.com/tensorflow/tfjs-node for more details.' +\n            '\\n============================');\n      }\n    }\n    const dataId = {};\n    this.data.set(dataId, {values, dtype});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    this.data.set(dataId, {values, dtype});\n  }\n\n  numDataIds(): number {\n    return this.data.numDataIds();\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    return this.readSync(dataId);\n  }\n  readSync(dataId: DataId): BackendValues {\n    const {dtype, complexTensors} = this.data.get(dataId);\n    if (dtype === 'complex64') {\n      const realValues =\n          this.readSync(complexTensors.real.dataId) as Float32Array;\n      const imagValues =\n          this.readSync(complexTensors.imag.dataId) as Float32Array;\n      return complex_util.mergeRealAndImagArrays(realValues, imagValues);\n    }\n    return this.data.get(dataId).values;\n  }\n\n  private bufferSync<R extends Rank>(t: Tensor<R>): TensorBuffer<R> {\n    const data = this.readSync(t.dataId);\n    let decodedData = data as DataValues;\n    if (t.dtype === 'string') {\n      try {\n        // Decode the bytes into string.\n        decodedData = (data as Uint8Array[]).map(d => util.decodeString(d));\n      } catch {\n        throw new Error('Failed to decode encoded string bytes into utf-8');\n      }\n    }\n    return buffer(t.shape, t.dtype, decodedData) as TensorBuffer<R>;\n  }\n\n  private makeOutput<T extends Tensor>(\n      values: BackendValues, shape: number[], dtype: DataType): T {\n    const dataId = this.write(values, shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  disposeData(dataId: DataId): void {\n    if (this.data.has(dataId)) {\n      const {complexTensors} = this.data.get(dataId);\n      if (complexTensors != null) {\n        complexTensors.real.dispose();\n        complexTensors.imag.dispose();\n      }\n      this.data.delete(dataId);\n    }\n  }\n\n  async time(f: () => void): Promise<BackendTimingInfo> {\n    const start = now();\n    f();\n    const kernelMs = now() - start;\n    return {kernelMs};\n  }\n\n  memory() {\n    return {\n      // Unreliable due to automatic gc. The numbers above are cumulative.\n      unreliable: true,\n      reasons:\n          ['The reported memory is an upper bound. Due to automatic garbage ' +\n           'collection, the true allocated memory may be less.']\n    };\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(null, real.shape, 'complex64');\n\n    const resultData = this.data.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    assertNotComplex(x, 'slice');\n\n    const isContinous = isSliceContinous(x.shape, begin, size);\n    if (isContinous) {\n      const flatOffset = computeFlatOffset(begin, x.strides);\n      const length = util.sizeFromShape(size);\n      const vals = this.readSync(x.dataId) as TypedArray;\n      return tensor(\n                 vals.subarray(flatOffset, flatOffset + length), size,\n                 x.dtype) as T;\n    }\n\n    const buffer = ops.buffer(size, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; ++i) {\n      const loc = buffer.indexToLoc(i);\n      const xLoc = loc.map((idx, j) => idx + begin[j]);\n      buffer.values[i] = xBuf.get(...xLoc);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    assertNotComplex(x, 'stridedSlice');\n\n    const outShape = computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return ops.tensor([], outShape) as T;\n    }\n\n    const buffer = ops.buffer(outShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; i++) {\n      const loc = buffer.indexToLoc(i);\n\n      const newLoc: number[] = new Array(loc.length);\n      for (let j = 0; j < newLoc.length; j++) {\n        newLoc[j] = loc[j] * strides[j] + begin[j];\n      }\n      buffer.set(xBuf.get(...newLoc), ...loc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  diag(x: Tensor): Tensor {\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const buffer = ops.buffer([x.size, x.size], x.dtype);\n    const vals = buffer.values;\n    for (let i = 0; i < xVals.length; i++) {\n      vals[i * x.size + i] = xVals[i];\n    }\n    return buffer.toTensor();\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    assertNotComplex(x, 'reverse');\n\n    const buffer = ops.buffer(x.shape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < buffer.size; i++) {\n      const outLoc = buffer.indexToLoc(i);\n      const inLoc = outLoc.slice();\n      axis.forEach(ax => inLoc[ax] = x.shape[ax] - 1 - inLoc[ax]);\n      buffer.set(xBuf.get(...inLoc), ...outLoc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    const tensors2D = tensors.map(t => {\n      const innerSize = util.sizeFromShape(t.shape.slice(axis));\n      return t.as2D(-1, innerSize);\n    });\n    const outShape =\n        concat_util.computeOutShape(tensors2D.map(t => t.shape), 1 /* axis */);\n    const values =\n        ops.buffer(outShape as [number, number], tensors[0].dtype as 'float32')\n            .values;\n    if (tensors2D[0].shape[0] === 1) {\n      // Use built-in TypedArray.set() method for speed.\n      let offset = 0;\n      tensors2D.forEach(t => {\n        values.set(this.readSync(t.dataId) as TypedArray, offset);\n        offset += t.size;\n      });\n    } else {\n      let colOffset = 0;\n      tensors2D.forEach(t => {\n        const tVals = this.readSync(t.dataId) as TypedArray;\n        let tIdx = 0;\n        for (let row = 0; row < t.shape[0]; ++row) {\n          const resIdx = row * outShape[1] + colOffset;\n          for (let col = 0; col < t.shape[1]; ++col) {\n            values[resIdx + col] = tVals[tIdx++];\n          }\n        }\n        colOffset += t.shape[1];\n      });\n    }\n    const finalOutShape =\n        concat_util.computeOutShape(tensors.map(t => t.shape), axis);\n    return tensor(values, finalOutShape, tensors[0].dtype);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'neg');\n\n    return this.multiply(ops.scalar(-1), x) as T;\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal + bReal, imag: aImag + bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue + bValue);\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    assertNotComplex(tensors, 'addN');\n\n    const vals = tensors.map(t => this.readSync(t.dataId) as TypedArray);\n    const result = ops.buffer(tensors[0].shape, tensors[0].dtype as 'float32');\n    const resultVals = result.values;\n    for (let i = 0; i < tensors.length; i++) {\n      const currVals = vals[i];\n      for (let j = 0; j < resultVals.length; j++) {\n        resultVals[j] += currVals[j];\n      }\n    }\n    return result.toTensor() as T;\n  }\n\n  softmax<T extends Tensor>(logits: T, dim: number): T {\n    const axes = util.parseAxisParam([dim], logits.shape);\n    const maxLogit = this.max(logits, axes);\n    const expandedShape = axis_util.expandShapeToKeepDim(maxLogit.shape, axes);\n    const a = this.subtract(logits, maxLogit.reshape(expandedShape));\n    const b = this.exp(a);\n    const sumExp = this.sum(b, axes).reshape(expandedShape);\n\n    // TODO(annxingyuan): Call divImpl rather than op as part of softmax kernel\n    // modularization.\n    return div(b, sumExp);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal - bReal, imag: aImag - bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue - bValue);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    assertNotComplex([a, b], 'pow');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.pow(aValue, bValue)) as\n        T;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    assertNotComplex([a, b], 'matMul');\n\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const leftDim = transposeA ? a.shape[2] : a.shape[1];\n    const rightDim = transposeB ? b.shape[1] : b.shape[2];\n    const batchDim = a.shape[0];\n\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const [aBatch, aOuterStep, aInnerStep] = transposeA ?\n        [a.strides[0], 1, a.strides[1]] :\n        [a.strides[0], a.strides[1], 1];\n    const [bInnerStep, bOuterStep, bBatch] = transposeB ?\n        [1, b.strides[1], b.strides[0]] :\n        [b.strides[1], 1, b.strides[0]];\n\n    const size = leftDim * rightDim;\n    const result = buffer([batchDim, leftDim, rightDim], a.dtype);\n    const resVals = result.values as TypedArray;\n    const blockSize = this.blockSize;\n\n    for (let b = 0; b < batchDim; b++) {\n      for (let i0 = 0; i0 < leftDim; i0 += blockSize) {\n        for (let j0 = 0; j0 < rightDim; j0 += blockSize) {\n          for (let k0 = 0; k0 < sharedDim; k0 += blockSize) {\n            // for when blockSize doesn't evenly divide the input\n            const iBlock = Math.min(i0 + blockSize, leftDim);\n            const jBlock = Math.min(j0 + blockSize, rightDim);\n            const kBlock = Math.min(k0 + blockSize, sharedDim);\n\n            for (let i = i0; i < iBlock; i++) {\n              for (let j = j0; j < jBlock; j++) {\n                let sum = 0.0;\n\n                for (let k = k0; k < kBlock; k++) {\n                  sum += aValues[b * aBatch + i * aOuterStep + k * aInnerStep] *\n                      bValues[k * bInnerStep + j * bOuterStep + b * bBatch];\n                }\n                resVals[b * size + (i * rightDim + j)] += sum;\n              }\n            }\n          }\n        }\n      }\n    }\n    return result.toTensor() as Tensor3D;\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    let result = this.batchMatMul(a, b, transposeA, transposeB);\n    if (bias) {\n      result = this.add(result, bias) as Tensor3D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor3D;\n    }\n    return result;\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {\n              real: aReal * bReal - aImag * bImag,\n              imag: aReal * bImag + aImag * bReal\n            };\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue * bValue);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'floorDiv');\n\n    const op = (a: number, b: number) => Math.floor(a / b);\n    const outputDtype = 'int32';\n    return this.broadcastedBinaryOp(a, b, outputDtype, op);\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let sum = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        sum += aVals[offset + j];\n      }\n      vals[i] = sum;\n    }\n    return result;\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let prod = 1;\n      for (let j = 0; j < reduceSize; ++j) {\n        prod *= aVals[offset + j];\n      }\n      vals[i] = prod;\n    }\n    return result;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    assertNotComplex(x, 'unsortedSegmentSum');\n\n    const res = [];\n\n    // Reshape the segment id's so that they can be broadcast with\n    // x. The new shape should be [segmentIds.shape, 1, ..., 1]\n    const numIters = x.rank - segmentIds.rank;\n    for (let i = 0; i < numIters; ++i) {\n      segmentIds = segmentIds.expandDims(i + 1);\n    }\n\n    for (let i = 0; i < numSegments; ++i) {\n      const segmentId = ops.scalar(i, 'int32');\n      const mask = ops.equal(segmentId, segmentIds).asType('float32');\n      const sum = mask.mul(x).sum(0);\n      res.push(sum);\n    }\n\n    return ops.stack(res);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMin');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMin', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      let minIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n          minIndex = j;\n        }\n      }\n      vals[i] = minIndex;\n    }\n    return result;\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMax');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMax', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      let maxIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n          maxIndex = j;\n        }\n      }\n      vals[i] = maxIndex;\n    }\n    return result;\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    assertNotComplex(x, 'cumsum');\n\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `backend.cumsum in CPU expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(x.shape, resultDtype);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    const finalDim = x.shape[x.rank - 1];\n    const indexAdjuster = reverse ?\n        (i: number, j: number) => i + finalDim - j - 1 :\n        (i: number, j: number) => i + j;\n    for (let i = 0; i < aVals.length; i += finalDim) {\n      for (let j = 0; j < finalDim; j++) {\n        const idx = indexAdjuster(i, j);\n        if (j === 0) {\n          vals[idx] = exclusive ? 0 : aVals[idx];\n        } else {\n          const prevIdx = indexAdjuster(i, j - 1);\n          vals[idx] = exclusive ? aVals[prevIdx] + vals[prevIdx] :\n                                  aVals[idx] + vals[prevIdx];\n        }\n      }\n    }\n    return result;\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'equal');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal === bVal) ? 1 : 0;\n    });\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'notEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal !== bVal) ? 1 : 0;\n    });\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'less');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal < bVal) ? 1 : 0;\n    });\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'lessEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal <= bVal) ? 1 : 0;\n    });\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greater');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal > bVal) ? 1 : 0;\n    });\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greaterEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal >= bVal) ? 1 : 0;\n    });\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'logicalNot');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = values[i] ? 0 : 1;\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalAnd');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal && bVal;\n    });\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalOr');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal || bVal;\n    });\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([condition, a, b], 'select');\n\n    const values = this.readSync(condition.dataId) as TypedArray;\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const result = ops.zeros(a.shape, upcastType(a.dtype, b.dtype));\n    const newValues = this.readSync(result.dataId) as TypedArray;\n    let index = 0;\n    const offset = condition.rank === 0 || condition.rank > 1 || a.rank === 1 ?\n        1 :\n        util.sizeFromShape(a.shape.slice(1));\n\n    for (let i = 0; i < values.length; i++) {\n      for (let j = 0; j < offset; j++) {\n        if (values[i] === 1) {\n          newValues[index++] = aValues[i];\n        } else {\n          newValues[index++] = bValues[i];\n        }\n      }\n    }\n\n    return result;\n  }\n\n  where(condition: Tensor): Tensor2D {\n    assertNotComplex([condition], 'where');\n\n    const condVals = this.readSync(condition.dataId) as TypedArray;\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    assertNotComplex(x, 'topk');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'min');\n\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n        }\n      }\n      vals[i] = min;\n    }\n    return result;\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'minimum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.min(aVal, bVal));\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'mod');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const rem = aVal % bVal;\n      if ((aVal < 0 && bVal < 0) || (aVal >= 0 && bVal >= 0)) {\n        return rem;\n      } else {\n        return (rem + bVal) % bVal;\n      }\n    });\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'max');\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n        }\n      }\n      vals[i] = max;\n    }\n    return result;\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'maximum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.max(aVal, bVal));\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'all');\n\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let all = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        all = all && value;\n      }\n      vals[i] = all;\n    }\n    return result;\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'any');\n\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let anyVal = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        anyVal = anyVal || value;\n      }\n      vals[i] = anyVal;\n    }\n    return result;\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'squaredDifference');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const diff = aVal - bVal;\n      return diff * diff;\n    });\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'ceil');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.ceil(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'floor');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.floor(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (values[i] < 0) {\n        newValues[i] = -1;\n      } else if (values[i] > 0) {\n        newValues[i] = 1;\n      } else {\n        newValues[i] = 0;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isNaN(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isInf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Math.abs(values[i]) === Infinity) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isFinite<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isFinite(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'round');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      // The algorithm is based on banker's rounding.\n      const base = Math.floor(values[i]);\n      if (values[i] - base < 0.5) {\n        newValues[i] = Math.floor(values[i]);\n      } else if (values[i] - base > 0.5) {\n        newValues[i] = Math.ceil(values[i]);\n      } else {\n        if (base % 2.0 === 0.0) {\n          newValues[i] = base;\n        } else {\n          newValues[i] = base + 1.0;\n        }\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'exp');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.exp(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'expm1');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.expm1(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log1p');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log1p(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'rsqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = 1 / Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'reciprocal');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = 1 / values[i];\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  linear<T extends Tensor>(x: T): T {\n    return x;\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.max(0, inVals[i]);\n    }\n    return res as T;\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.min(Math.max(0, inVals[i]), 6);\n    }\n    return res as T;\n  }\n\n  prelu<T extends Tensor>(x: T, a: T): T {\n    assertNotComplex([x, a], 'prelu');\n\n    return this.broadcastedBinaryOp(\n               x, a, x.dtype,\n               (xValue, aValue) => xValue < 0 ? aValue * xValue : xValue) as T;\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'elu');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = v;\n      } else {\n        resultValues[i] = (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    assertNotComplex([dy, y], 'eluDer');\n\n    const resultValues = new Float32Array(y.size);\n    const values = this.readSync(y.dataId) as TypedArray;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 1) {\n        resultValues[i] = dyValues[i];\n      } else {\n        resultValues[i] = dyValues[i] * (v + 1);\n      }\n    }\n    return this.makeOutput(resultValues, y.shape, 'float32');\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'selu');\n\n    // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n    // see: https://arxiv.org/abs/1706.02515\n    const scaleAlpha = selu_util.SELU_SCALEALPHA;\n    const scale = selu_util.SELU_SCALE;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = scale * v;\n      } else {\n        resultValues[i] = scaleAlpha * (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    assertNotComplex(x, 'clip');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      resultValues[i] = v > max ? max : (v < min ? min : v);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.abs(values[i]);\n    }\n\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < x.size; ++i) {\n      const real = values[i * 2];\n      const imag = values[i * 2 + 1];\n      resultValues[i] = Math.hypot(real, imag);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  int<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'int');\n\n    const resultValues = new Int32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = values[i];\n    }\n    return this.makeOutput(resultValues, x.shape, 'int32');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sigmoid');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = 1 / (1 + Math.exp(-values[i]));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'softplus');\n\n    // mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n\n    // epsilon is the difference between 1.0 and the next representable float.\n    // For a single precision 32 bit float this should be 2^-23, see:\n    // https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n    const epsilon = 1.1920928955078125e-7;\n    const threshold = Math.log(epsilon) + 2.0;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < values.length; ++i) {\n      // Value above which exp(x) may overflow, but softplus(x) == x\n      // is within machine epsilon.\n      const tooLarge = values[i] > -threshold;\n\n      // Value below which exp(x) may underflow, but softplus(x) == exp(x)\n      // is within machine epsilon.\n      const tooSmall = values[i] < threshold;\n\n      const expX = Math.exp(values[i]);\n      let result;\n\n      if (tooSmall) {\n        result = expX;\n      } else if (tooLarge) {\n        result = values[i];\n      } else {\n        result = Math.log(1.0 + expX);\n      }\n      resultValues[i] = result;\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.tan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    assertNotComplex([a, b], 'atan2');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.atan2(aValue, bValue)) as\n        T;\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = util.tanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'erf');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    const p = erf_util.ERF_P;\n    const a1 = erf_util.ERF_A1;\n    const a2 = erf_util.ERF_A2;\n    const a3 = erf_util.ERF_A3;\n    const a4 = erf_util.ERF_A4;\n    const a5 = erf_util.ERF_A5;\n    for (let i = 0; i < values.length; ++i) {\n      const sign = Math.sign(values[i]);\n      const v = Math.abs(values[i]);\n      const t = 1.0 / (1.0 + p * v);\n      resultValues[i] = sign *\n          (1.0 -\n           (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t *\n               Math.exp(-v * v));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  step<T extends Tensor>(x: T, alpha = 0): T {\n    assertNotComplex(x, 'step');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      if (isNaN(value)) {\n        resultValues[i] = NaN;\n      } else {\n        resultValues[i] = value > 0 ? 1 : alpha;\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.conv2d(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, filter], 'conv2d');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n\n    const xBatchStride = x.strides[0];\n    const xRowStride = isChannelsLast ? x.strides[1] : x.strides[2];\n    const xColStride = isChannelsLast ? x.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : x.strides[1];\n    const yBatchStride = y.strides[0];\n    const yRowStride = isChannelsLast ? y.strides[1] : y.strides[2];\n    const yColStride = isChannelsLast ? y.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : y.strides[1];\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * xBatchStride;\n      const yOffset1 = b * yBatchStride;\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * yRowStride;\n        const xRCorner = yR * convInfo.strideHeight - padTop;\n        for (let wR = 0; wR < filterHeight; wR++) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * xRowStride;\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * yColStride;\n            const xCCorner = yC * convInfo.strideWidth - padLeft;\n            for (let wC = 0; wC < filterWidth; wC++) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * xColStride;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1 * xChannelStride];\n                for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                  yVals[yOffset3 + d2 * yChannelStride] +=\n                      xVal * wVals[wOffset3 + d2];\n                }\n                wOffset3 += convInfo.outChannels;\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor() as Tensor4D;\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padFront = convInfo.padInfo.front;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const y = ops.buffer<Rank.R5>(convInfo.outShape, x.dtype as 'float32');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yF = 0; yF < convInfo.outDepth; ++yF) {\n        const yOffset2 = yOffset1 + yF * y.strides[1];\n        const xFCorner = yF * convInfo.strideDepth - padFront;\n        for (let wF = 0; wF < filterDepth; wF++) {\n          const xF = xFCorner + wF * dilationDepth;\n          if (xF < 0 || xF >= convInfo.inDepth) {\n            continue;\n          }\n          const wOffset1 = wF * filter.strides[0];\n          const xOffset2 = xOffset1 + xF * x.strides[1];\n\n          for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n            const yOffset3 = yOffset2 + yR * y.strides[2];\n            const xRCorner = yR * convInfo.strideHeight - padTop;\n            for (let wR = 0; wR < filterHeight; wR++) {\n              const xR = xRCorner + wR * dilationHeight;\n              if (xR < 0 || xR >= convInfo.inHeight) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wR * filter.strides[1];\n              const xOffset3 = xOffset2 + xR * x.strides[2];\n              for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n                const yOffset4 = yOffset3 + yC * convInfo.outChannels;\n                const xCCorner = yC * convInfo.strideWidth - padLeft;\n                for (let wC = 0; wC < filterWidth; wC++) {\n                  const xC = xCCorner + wC * dilationWidth;\n                  if (xC < 0 || xC >= convInfo.inWidth) {\n                    continue;\n                  }\n                  const wOffset3 = wOffset2 + wC * filter.strides[2];\n                  const xOffset4 = xOffset3 + xC * convInfo.inChannels;\n                  let wOffset4 = wOffset3;\n                  for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                    const xVal = xVals[xOffset4 + d1];\n                    for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                      yVals[yOffset4 + d2] += xVal * wVals[wOffset4 + d2];\n                    }\n                    wOffset4 += convInfo.outChannels;\n                  }\n                }\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor();\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'conv2dDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth,\n      dataFormat\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const xBatchStride = dx.strides[0];\n    const xRowStride = isChannelsLast ? dx.strides[1] : dx.strides[2];\n    const xColStride = isChannelsLast ? dx.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : dx.strides[1];\n    const yBatchStride = dy.strides[0];\n    const yRowStride = isChannelsLast ? dy.strides[1] : dy.strides[2];\n    const yColStride = isChannelsLast ? dy.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : dy.strides[1];\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset =\n                    yBatchStride * b + yRowStride * yR + yColStride * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let d2 = 0; d2 < outChannels; ++d2) {\n                  const pixel = dyValues[dyOffset + yChannelStride * d2];\n                  const weight = fltValues[fltOffset + d2];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            const dxOffset = xBatchStride * b + xRowStride * xR +\n                xColStride * xC + xChannelStride * d1;\n            dxValues[dxOffset] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const dx = ops.buffer<Rank.R5>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2, dxS3] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2, fltS3] = filter.strides;\n    const {\n      batchSize,\n      filterDepth,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inDepth,\n      inHeight,\n      inWidth,\n      outChannels,\n      outDepth,\n      outHeight,\n      outWidth,\n      strideDepth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const frontPad = filterDepth - 1 - convInfo.padInfo.front;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        // Frames of depth\n        for (let xF = 0; xF < inDepth; ++xF) {\n          const xFCorner = xF - frontPad;\n          const xFMin = Math.max(0, Math.ceil(xFCorner / strideDepth));\n          const yFMax =\n              Math.min(outDepth, (filterDepth + xFCorner) / strideDepth);\n\n          // Rows as per standard 2d matrix notation\n          for (let xR = 0; xR < inHeight; ++xR) {\n            const xRCorner = xR - topPad;\n            const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n            const yRMax =\n                Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n            // Columns as per standard 2d matrix notation\n            for (let xC = 0; xC < inWidth; ++xC) {\n              const xCCorner = xC - leftPad;\n              const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n              const yCMax =\n                  Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n              let dotProd = 0;\n              for (let yF = xFMin; yF < yFMax; ++yF) {\n                const wF = yF * strideDepth - xFCorner;\n\n                for (let yR = xRMin; yR < yRMax; ++yR) {\n                  const wR = yR * strideHeight - xRCorner;\n\n                  for (let yC = xCMin; yC < yCMax; ++yC) {\n                    const wC = yC * strideWidth - xCCorner;\n                    const dyOffset =\n                        dyS0 * b + dyS1 * yF + dyS2 * yR + dyS3 * yC;\n                    const fltOffset = fltS0 * (filterDepth - 1 - wF) +\n                        fltS1 * (filterHeight - 1 - wR) +\n                        fltS2 * (filterWidth - 1 - wC) + fltS3 * d1;\n\n                    for (let d2 = 0; d2 < outChannels; ++d2) {\n                      const pixel = dyValues[dyOffset + d2];\n                      const weight = fltValues[fltOffset + d2];\n                      dotProd += pixel * weight;\n                    }\n                  }\n                }\n              }\n              dxValues[dxS0 * b + dxS1 * xF + dxS2 * xR + dxS3 * xC + d1] =\n                  dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, dy], 'conv2dDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n          for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n            // Need to convolve.\n            let dotProd = 0;\n            for (let b = 0; b < convInfo.batchSize; ++b) {\n              for (let yR = yRMin; yR < yRMax; ++yR) {\n                const xR = wR + yR * strideHeight - topPad;\n                for (let yC = yCMin; yC < yCMax; ++yC) {\n                  const xC = wC + yC * strideWidth - leftPad;\n                  if (isChannelsLast) {\n                    dotProd +=\n                        xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n                  } else {\n                    dotProd +=\n                        xBuf.get(b, d1, xR, xC) * dyBuf.get(b, d2, yR, yC);\n                  }\n                }\n              }\n            }\n            dW.set(dotProd, wR, wC, d1, d2);\n          }\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const dw = ops.buffer<Rank.R5>(convInfo.filterShape, 'float32');\n    const dwValues = dw.values;\n    const [dwS0, dwS1, dwS2, dwS3] = dw.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const [xS0, xS1, xS2, xS3] = x.strides;\n\n    const frontPad = convInfo.padInfo.front;\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n\n    for (let wF = 0; wF < filterDepth; ++wF) {\n      const yFMin = Math.max(0, Math.ceil((frontPad - wF) / strideDepth));\n      const yFMax = Math.min(\n          convInfo.outDepth, (convInfo.inDepth + frontPad - wF) / strideDepth);\n      const wOffset1 = wF * dwS0;\n\n      for (let wR = 0; wR < filterHeight; ++wR) {\n        const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n        const yRMax = Math.min(\n            convInfo.outHeight,\n            (convInfo.inHeight + topPad - wR) / strideHeight);\n        const wOffset2 = wR * dwS1 + wOffset1;\n\n        for (let wC = 0; wC < filterWidth; ++wC) {\n          const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n          const yCMax = Math.min(\n              convInfo.outWidth,\n              (convInfo.inWidth + leftPad - wC) / strideWidth);\n          const wOffset3 = wC * dwS2 + wOffset2;\n\n          for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n            const wOffset4 = d1 * dwS3 + wOffset3;\n\n            for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n              let dotProd = 0;\n              for (let b = 0; b < convInfo.batchSize; ++b) {\n                const xOffset1 = b * xS0;\n                const yOffset1 = b * dyS0;\n\n                for (let yF = yFMin; yF < yFMax; ++yF) {\n                  const xF = wF + yF * strideDepth - frontPad;\n                  const xOffset2 = xF * xS1 + xOffset1;\n                  const yOffset2 = yF * dyS1 + yOffset1;\n\n                  for (let yR = yRMin; yR < yRMax; ++yR) {\n                    const xR = wR + yR * strideHeight - topPad;\n                    const xOffset3 = xR * xS2 + xOffset2;\n                    const yOffset3 = yR * dyS2 + yOffset2;\n\n                    for (let yC = yCMin; yC < yCMax; ++yC) {\n                      const xC = wC + yC * strideWidth - leftPad;\n                      const xOffset4 = xC * xS3 + xOffset3;\n                      const yOffset4 = yC * dyS3 + yOffset3;\n\n                      dotProd +=\n                          xValues[xOffset4 + d1] * dyValues[yOffset4 + d2];\n                    }\n                  }\n                }\n              }\n              dwValues[wOffset4 + d2] = dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dw.toTensor();\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.depthwiseConv2D(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, filter], 'depthwiseConv2D');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * y.strides[1];\n        const xRCorner = yR * convInfo.strideHeight - padLeft;\n        for (let wR = 0; wR < filterHeight; ++wR) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * x.strides[1];\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * y.strides[2];\n            const xCCorner = yC * convInfo.strideWidth - padTop;\n            for (let wC = 0; wC < filterWidth; ++wC) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * convInfo.inChannels;\n              let yOffset4 = yOffset3;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1];\n                for (let q = 0; q < chMul; ++q) {\n                  yVals[yOffset4 + q] += xVal * wVals[wOffset3 + q];\n                }\n                yOffset4 += chMul;\n                wOffset3 += chMul;\n              }\n            }\n          }\n        }\n      }\n    }\n\n    return y.toTensor() as Tensor4D;\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'depthwiseConv2DDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n    const chMul = outChannels / inChannels;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset = dyS0 * b + dyS1 * yR + dyS2 * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let dm = 0; dm < chMul; ++dm) {\n                  const d2 = d1 * chMul + dm;\n                  const pixel = dyValues[dyOffset + d2];\n                  const weight = fltValues[fltOffset + dm];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            dxValues[dxS0 * b + dxS1 * xR + dxS2 * xC + d1] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, dy], 'depthwiseConv2DDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n          const d1 = Math.trunc(d2 / chMul);\n          const dm = d2 % chMul;\n\n          let dotProd = 0;\n          for (let b = 0; b < convInfo.batchSize; ++b) {\n            for (let yR = yRMin; yR < yRMax; ++yR) {\n              const xR = wR + yR * strideHeight - topPad;\n              for (let yC = yCMin; yC < yCMax; ++yC) {\n                const xC = wC + yC * strideWidth - leftPad;\n                dotProd += xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n              }\n            }\n          }\n          dW.set(dotProd, wR, wC, d1, dm);\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    assertNotComplex(x, 'tile');\n    return tile(this.bufferSync(x), reps) as T;\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    assertNotComplex(x, 'pad');\n\n    const outShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + x.shape[i] + p[1] /* afterPad */);\n    const start = paddings.map(p => p[0]);\n    const xBuffer = this.bufferSync(x);\n    const buffer = ops.buffer(outShape, x.dtype as 'float32');\n    if (constantValue !== 0) {\n      buffer.values.fill(constantValue);\n    }\n\n    for (let i = 0; i < x.size; i++) {\n      const coords = xBuffer.indexToLoc(i);\n      const outCoords = coords.map((c, i) => c + start[i]);\n      buffer.set(xBuffer.get(...coords), ...outCoords);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    assertNotComplex([x, indices], 'gather');\n\n    const newShape: number[] = x.shape.slice();\n    const indicesValues = this.readSync(indices.dataId) as TypedArray;\n    newShape[axis] = indicesValues.length;\n    const result = buffer(newShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < result.size; ++i) {\n      const newLoc = result.indexToLoc(i);\n\n      const originalLoc: number[] = newLoc.slice();\n      originalLoc[axis] = indicesValues[newLoc[axis]];\n\n      const originalIndex = xBuf.locToIndex(originalLoc);\n      result.values[i] = xBuf.values[originalIndex];\n    }\n    return result.toTensor() as T;\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    assertNotComplex([x], 'batchToSpaceND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return transpose(x.reshape(reshaped), permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    assertNotComplex([x], 'spaceToBatchND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return transpose(\n               paddedX.reshape(reshapedPaddedShape),\n               permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'maxPool');\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    return pool(xValues, x.shape, x.dtype, x.strides, convInfo, 'max')\n               .toTensor() as Tensor4D;\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, y], 'maxPoolBackprop');\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const maxPosBuf = buffer(\n        convInfo.outShape, x.dtype,\n        maxPoolPositions(xValues, x.shape, x.dtype, convInfo).values);\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n                const maxPos = effectiveFilterHeight * effectiveFilterWidth -\n                    1 - (maxPosBuf.get(b, dyR, dyC, d) as number);\n                const curPos = wR * effectiveFilterWidth + wC;\n\n                const mask = maxPos === curPos ? 1 : 0;\n                if (mask === 0) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel * mask;\n              }\n            }\n            dx.set(dotProd, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([dy, x], 'avgPoolBackprop');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel;\n              }\n            }\n            dx.set(dotProd * avgMultiplier, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  private pool3d(x: Tensor5D, convInfo: Conv3DInfo, poolType: 'max'|'avg'):\n      Tensor5D {\n    assertNotComplex(x, 'pool3d');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const initialValue =\n        (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                              Number.POSITIVE_INFINITY);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = ops.buffer(convInfo.outShape, x.dtype);\n    const outputVals = output.values;\n\n    const outputBatchStrides = convInfo.outShape[1] * convInfo.outShape[2] *\n        convInfo.outShape[3] * convInfo.outShape[4];\n    const outputDepthStrides =\n        convInfo.outShape[2] * convInfo.outShape[3] * convInfo.outShape[4];\n    const outputRowStrides = convInfo.outShape[3] * convInfo.outShape[4];\n    const outputColStrides = convInfo.outShape[4];\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      const outputBatchOffset = batch * outputBatchStrides;\n      const inputBatchOffset = batch * x.strides[0];\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          const outputDepthOffset =\n              outputBatchOffset + yDepth * outputDepthStrides;\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            const outputRowOffset = outputDepthOffset + yRow * outputRowStrides;\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n              // Shader code begins\n              const outputColOffset = outputRowOffset + yCol * outputColStrides;\n              let minMaxValue = initialValue;\n              let avgValue = 0;\n              let count = 0;\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const xDepthOffset = inputBatchOffset + xDepth * x.strides[1];\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const xRowOffset = xDepthOffset + xRow * x.strides[2];\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const xColOffset = xRowOffset + xCol * x.strides[3];\n                    const pixel = xValues[xColOffset + channel];\n                    if ((poolType === 'max' && pixel > minMaxValue)) {\n                      minMaxValue = pixel;\n                    } else if (poolType === 'avg') {\n                      avgValue += pixel;\n                      count++;\n                    }\n                    if (isNaN(minMaxValue)) {\n                      break;\n                    }\n                  }\n                  if (isNaN(minMaxValue)) {\n                    break;\n                  }\n                }\n                if (isNaN(minMaxValue)) {\n                  break;\n                }\n              }\n              const outputOffset = outputColOffset + channel;\n              outputVals[outputOffset] =\n                  poolType === 'avg' ? avgValue / count : minMaxValue;\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor5D;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'avgPool3d');\n\n    return this.pool3d(x, convInfo, 'avg').toFloat();\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([dy, x], 'avgPool3dBackprop');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins.\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel;\n                  }\n                }\n              }\n              dx.set(\n                  dotProd * avgMultiplier, batch, dxDepth, dxRow, dxCol,\n                  channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'maxPool3d');\n\n    return this.pool3d(x, convInfo, 'max').toFloat();\n  }\n\n  private maxPool3dPositions(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const xBuf = this.bufferSync(x);\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n\n              // Shader code begins\n              let maxValue = Number.NEGATIVE_INFINITY;\n              let maxPosition = -1;\n\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const wDepth = xDepth - xDepthCorner;\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const wRow = xRow - xRowCorner;\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const wCol = xCol - xColCorner;\n                    const pixel = xBuf.get(batch, xDepth, xRow, xCol, channel);\n                    if (pixel >= maxValue) {\n                      maxValue = pixel;\n                      maxPosition = wDepth * effectiveFilterHeight *\n                              effectiveFilterWidth +\n                          wRow * effectiveFilterHeight + wCol;\n                    }\n                  }\n                }\n              }\n\n              maxPositions.set(maxPosition, batch, yDepth, yRow, yCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return maxPositions.toTensor() as Tensor5D;\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([x, y], 'maxPool3dBackprop');\n\n    const maxPositions = this.maxPool3dPositions(x, convInfo);\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const maxPosBuf = this.bufferSync(maxPositions);\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const maxPos = effectiveFilterDepth *\n                            effectiveFilterHeight * effectiveFilterWidth -\n                        1 -\n                        maxPosBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    const curPos =\n                        wDepth * effectiveFilterHeight * effectiveFilterWidth +\n                        wRow * effectiveFilterWidth + wCol;\n\n                    const mask = maxPos === curPos ? 1 : 0;\n                    if (mask === 0) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel * mask;\n                  }\n                }\n              }\n              dx.set(dotProd, batch, dxDepth, dxRow, dxCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'avgPool');\n    assertNotComplex(x, 'maxPool');\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    return pool(xValues, x.shape, x.dtype, x.strides, convInfo, 'avg')\n               .toTensor()\n               .toFloat() as Tensor4D;\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeBilinear');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result = new Float32Array(\n        util.sizeFromShape([batch, newHeight, newWidth, numChannels]));\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n    let outputIdx = 0;\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n    for (let b = 0; b < batch; b++) {\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceRowFloor = Math.floor(sourceFracRow);\n        const rowFrac = sourceFracRow - sourceRowFloor;\n        const sourceRowCeil = Math.min(oldHeight - 1, Math.ceil(sourceFracRow));\n        const topRowOffset = b * x.strides[0] + sourceRowFloor * x.strides[1];\n        const botRowOffset = b * x.strides[0] + sourceRowCeil * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceColFloor = Math.floor(sourceFracCol);\n          const colFrac = sourceFracCol - sourceColFloor;\n          const sourceColCeil =\n              Math.min(oldWidth - 1, Math.ceil(sourceFracCol));\n          const topLeftOffest = topRowOffset + sourceColFloor * x.strides[2];\n          const botLeftOffset = botRowOffset + sourceColFloor * x.strides[2];\n          const topRightOffset = topRowOffset + sourceColCeil * x.strides[2];\n          const botRightOffest = botRowOffset + sourceColCeil * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n\n            // Compute the fractional index of the source.\n            const topLeft = xValues[topLeftOffest + d];\n            const bottomLeft = xValues[botLeftOffset + d];\n            const topRight = xValues[topRightOffset + d];\n            const bottomRight = xValues[botRightOffest + d];\n\n            const top = topLeft + (topRight - topLeft) * colFrac;\n            const bottom = bottomLeft + (bottomRight - bottomLeft) * colFrac;\n            const newValue = top + (bottom - top) * rowFrac;\n\n            result[outputIdx++] = newValue;\n          }\n        }\n      }\n    }\n    return ops.tensor(result, [batch, newHeight, newWidth, numChannels]);\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeBilinearBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass and add the\n    // corresponding coefficient from dy to the gradient (with some\n    // interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/3039375c86a5bbc9610c7725dcaa95d635f87ba2/tensorflow/core/kernels/resize_bilinear_op.cc#L275\n\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    let offset = 0;\n    for (let b = 0; b < batch; b++) {\n      const bOffset = b * x.strides[0];\n      for (let r = 0; r < yHeight; r++) {\n        const dxR = r * heightScale;\n        const topDxRIndex = Math.floor(dxR);\n        const bottomDxRIndex = Math.min(Math.ceil(dxR), xHeight - 1);\n\n        const topDxROffset = bOffset + topDxRIndex * x.strides[1];\n        const bottomDxROffset = bOffset + bottomDxRIndex * x.strides[1];\n\n        const dxRLerp = dxR - topDxRIndex;\n        const inverseDxRLerp = 1.0 - dxRLerp;\n        for (let c = 0; c < yWidth; c++) {\n          const dxC = c * widthScale;\n          const leftDxCIndex = Math.floor(dxC);\n          const rightDxCIndex = Math.min(Math.ceil(dxC), xWidth - 1);\n          const dxCLerp = dxC - leftDxCIndex;\n          const inverseDxCLerp = 1.0 - dxCLerp;\n\n          const topLeftRCOffset = topDxROffset + leftDxCIndex * x.strides[2];\n          const topRightRCOffset = topDxROffset + rightDxCIndex * x.strides[2];\n          const bottomLeftRCOffset =\n              bottomDxROffset + leftDxCIndex * x.strides[2];\n          const bottomRightRCOffset =\n              bottomDxROffset + rightDxCIndex * x.strides[2];\n\n          const inverseDxRLerpTimesInverseDxCLerp =\n              inverseDxRLerp * inverseDxCLerp;\n          const inverseDxRLerpTimesDxCLerp = inverseDxRLerp * dxCLerp;\n          const dxRLerpTimesInverseDxCLerp = dxRLerp * inverseDxCLerp;\n          const dxRLerpTimesDxCLerp = dxRLerp * dxCLerp;\n          for (let d = 0; d < depth; d++) {\n            const dyVal = dyValues[offset++];\n            output[topLeftRCOffset + d] +=\n                dyVal * inverseDxRLerpTimesInverseDxCLerp;\n            output[topRightRCOffset + d] += dyVal * inverseDxRLerpTimesDxCLerp;\n            output[bottomLeftRCOffset + d] +=\n                dyVal * dxRLerpTimesInverseDxCLerp;\n            output[bottomRightRCOffset + d] += dyVal * dxRLerpTimesDxCLerp;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, [batch, xWidth, xHeight, depth], x.dtype);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeNearestNeighbor');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = new Float32Array(batch * newHeight * newWidth * numChannels);\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n\n    let outputOffset = 0;\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceNearestRow = Math.min(\n            oldHeight - 1,\n            alignCorners ? Math.round(sourceFracRow) :\n                           Math.floor(sourceFracRow));\n        const rowOffset = batchOffset + sourceNearestRow * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceNearestCol = Math.min(\n              oldWidth - 1,\n              alignCorners ? Math.round(sourceFracCol) :\n                             Math.floor(sourceFracCol));\n          const colOffset = rowOffset + sourceNearestCol * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n            // Compute the fractional index of the source.\n            const newVal = xValues[colOffset + d];\n            output[outputOffset++] = newVal;\n          }\n        }\n      }\n    }\n    return ops.tensor(\n        output, [batch, newHeight, newWidth, numChannels], x.dtype);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeNearestNeighborBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    // Loop over the output space.\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < xHeight; r++) {\n        const rowOffset = batchOffset + r * x.strides[1];\n\n        // Compute bounds for where in dy we will look\n        const startRLerp = Math.floor(r * invHeightScale);\n        const startDyR = Math.floor(startRLerp - (winHeight / 2));\n        for (let c = 0; c < xWidth; c++) {\n          const colOffset = rowOffset + c * x.strides[2];\n\n          // Compute bounds for where in dy we will look\n          const startCLerp = Math.floor(c * invWidthScale);\n          const startDyC = Math.floor(startCLerp - (winWidth / 2));\n\n          for (let d = 0; d < depth; d++) {\n            let accum = 0;\n            // loop over dy\n\n            for (let dyRIndex = 0; dyRIndex < winHeight; dyRIndex++) {\n              const dyR = dyRIndex + startDyR;\n              // Guard against the window exceeding the bounds of dy\n              if (dyR < 0 || dyR >= yHeight) {\n                continue;\n              }\n\n              const dyROffset = batchOffset + dyR * dy.strides[1];\n              const sourceFracRow = dyR * heightScale;\n              const sourceNearestRow = Math.min(\n                  xHeight - 1,\n                  alignCorners ? Math.round(sourceFracRow) :\n                                 Math.floor(sourceFracRow));\n              if (r !== sourceNearestRow) {\n                continue;\n              }\n              for (let dyCIndex = 0; dyCIndex < winWidth; dyCIndex++) {\n                const dyC = dyCIndex + startDyC;\n                // Guard against the window exceeding the bounds of dy\n                if (dyC < 0 || dyC >= yWidth) {\n                  continue;\n                }\n\n                const dyCOffset = dyROffset + dyC * dy.strides[2];\n                const sourceFracCol = dyC * widthScale;\n                const sourceNearestCol = Math.min(\n                    xWidth - 1,\n                    alignCorners ? Math.round(sourceFracCol) :\n                                   Math.floor(sourceFracCol));\n\n                if (c === sourceNearestCol) {\n                  accum += dyValues[dyCOffset + d];\n                }\n              }\n            }\n            output[colOffset + d] = accum;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, x.shape, x.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    assertNotComplex([x, mean, variance, scale, offset], 'batchNorm');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const mVals = this.readSync(mean.dataId) as TypedArray;\n    const varVals = this.readSync(variance.dataId) as TypedArray;\n    const sVals = scale ? this.readSync(scale.dataId) as TypedArray :\n                          new Float32Array([1]);\n    const offVals = offset ? this.readSync(offset.dataId) as TypedArray :\n                             new Float32Array([0]);\n    const outVals = new Float32Array(xVals.length);\n\n    const offValsLength = offVals.length;\n    const sValsLength = sVals.length;\n    const varValsLength = varVals.length;\n    const mValsLength = mVals.length;\n\n    let offi = 0;\n    let mi = 0;\n    let si = 0;\n    let vi = 0;\n    for (let i = 0; i < xVals.length; ++i) {\n      outVals[i] = offVals[offi++] +\n          (xVals[i] - mVals[mi++]) * sVals[si++] /\n              Math.sqrt(varVals[vi++] + varianceEpsilon);\n      if (offi >= offValsLength) {\n        offi = 0;\n      }\n      if (mi >= mValsLength) {\n        mi = 0;\n      }\n      if (si >= sValsLength) {\n        si = 0;\n      }\n      if (vi >= varValsLength) {\n        vi = 0;\n      }\n    }\n    return tensor4d(outVals, x.shape);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(x, 'localResponseNormalization4D');\n\n    const channels = x.shape[3];\n    const maxD = channels - 1;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const size = x.size;\n    const result = new Float32Array(size);\n\n    function sumAcrossChannels(offset: number) {\n      const currentChannel = offset % channels;\n      let beginSumOffset =\n          offset - currentChannel + Math.max(0, currentChannel - depthRadius);\n      const endSumOffset = offset - currentChannel +\n          Math.min(currentChannel + depthRadius, maxD);\n\n      let sum = 0.0;\n      for (; beginSumOffset <= endSumOffset; beginSumOffset++) {\n        const z = xValues[beginSumOffset];\n        sum += z * z;\n      }\n      return sum;\n    }\n\n    for (let offset = 0; offset < size; offset++) {\n      const sum = sumAcrossChannels(offset);\n      const val = xValues[offset] * Math.pow(bias + alpha * sum, -beta);\n      result[offset] = val;\n    }\n\n    return ops.tensor4d(result, x.shape);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(dy, 'LRNGrad');\n    const channels = dy.shape[3];\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const inputImageValues = this.readSync(inputImage.dataId) as TypedArray;\n    const outputImageValues = this.readSync(outputImage.dataId) as TypedArray;\n    const result = new Float32Array(dy.size);\n    const size = dy.size;\n\n    for (let offset = 0; offset < size; offset++) {\n      const currentChannel = offset % channels;\n      const depthBegin =\n          (offset - currentChannel) + Math.max(0, currentChannel - depthRadius);\n      const depthEnd = (offset - currentChannel) +\n          Math.min(channels, currentChannel + depthRadius + 1);\n\n      let norm = 0;\n      for (let k = depthBegin; k < depthEnd; k++) {\n        norm += Math.pow(inputImageValues[k], 2);\n      }\n      norm = alpha * norm + bias;\n\n      for (let k = depthBegin; k < depthEnd; k++) {\n        let dyi = -2 * alpha * beta * inputImageValues[k] *\n            outputImageValues[offset] / norm;\n        if (offset === k) {\n          dyi += Math.pow(norm, -beta);\n        }\n        dyi *= dyValues[offset];\n        result[k] += dyi;\n      }\n    }\n    return ops.tensor4d(result, dy.shape);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    assertNotComplex(logits, 'multinomial');\n\n    const probabilities = normalized ? logits : ops.softmax(logits);\n    const batchSize = probabilities.shape[0];\n    const numEvents = probabilities.shape[1];\n    const res = ops.zeros<Rank.R2>([batchSize, numSamples], 'int32');\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const probVals = this.readSync(probabilities.dataId) as TypedArray;\n\n    for (let b = 0; b < batchSize; ++b) {\n      const offset = b * numEvents;\n      // The cdf won't include the last event. It will be implicit if no other\n      // event happened.\n      const cdf = new Float32Array(numEvents - 1);\n      cdf[0] = probVals[offset];\n      for (let event = 1; event < cdf.length; ++event) {\n        cdf[event] = cdf[event - 1] + probVals[offset + event];\n      }\n\n      const random = seedrandom.alea(seed.toString());\n      const outOffset = b * numSamples;\n      for (let sampleId = 0; sampleId < numSamples; ++sampleId) {\n        const r = random();\n\n        // Assume last event happened by default.\n        resVals[outOffset + sampleId] = cdf.length;\n\n        for (let event = 0; event < cdf.length; event++) {\n          if (r < cdf[event]) {\n            resVals[outOffset + sampleId] = event;\n            break;\n          }\n        }\n      }\n    }\n    return res;\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    assertNotComplex(indices, 'oneHot');\n\n    const res = new Float32Array(indices.size * depth);\n    res.fill(offValue);\n    const indicesVal = this.readSync(indices.dataId) as TypedArray;\n\n    for (let event = 0; event < indices.size; ++event) {\n      if (indicesVal[event] >= 0 && indicesVal[event] < depth) {\n        res[event * depth + indicesVal[event]] = onValue;\n      }\n    }\n    return ops.tensor2d(res, [indices.size, depth], 'int32');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    assertNotComplex(boxes, 'nonMaxSuppression');\n\n    const boxesVals = this.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = this.readSync(scores.dataId) as TypedArray;\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, false);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, true);\n  }\n\n  /**\n   * Calculate FFT of inner most elements of batch tensor.\n   */\n  private fftBatch(x: Tensor2D, inverse: boolean): Tensor2D {\n    const batch = x.shape[0];\n    const innerDim = x.shape[1];\n    // Collects real and imaginary values separately.\n    const realResult = ops.buffer(x.shape, 'float32');\n    const imagResult = ops.buffer(x.shape, 'float32');\n\n    const real = ops.real(x).as2D(batch, innerDim);\n    const imag = ops.imag(x).as2D(batch, innerDim);\n\n    for (let b = 0; b < batch; b++) {\n      // TODO: Support slice ops for complex type.\n      const r = real.slice([b, 0], [1, innerDim]);\n      const i = imag.slice([b, 0], [1, innerDim]);\n      const input = ops.complex(r, i);\n      // Run FFT by batch element.\n      const res =\n          this.readSync(this.fftImpl(input, inverse).dataId) as Float32Array;\n      for (let d = 0; d < innerDim; d++) {\n        const c = complex_util.getComplexWithIndex(res, d);\n        realResult.values[b * innerDim + d] = c.real;\n        imagResult.values[b * innerDim + d] = c.imag;\n      }\n    }\n\n    const t = ops.complex(realResult.toTensor(), imagResult.toTensor());\n    return t.as2D(batch, innerDim);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const x1D = x.as1D();\n\n    const n = x1D.size;\n\n    if (this.isExponentOf2(n)) {\n      let result = this.fftRadix2(x1D, n, inverse).as2D(x.shape[0], x.shape[1]);\n      if (inverse) {\n        result = ops.complex(\n                     ops.real(result).div(scalar(n)),\n                     ops.imag(result).div(scalar(n))) as Tensor2D;\n      }\n      return result;\n    } else {\n      const data = this.readSync(x.dataId) as TypedArray;\n      const rawOutput =\n          this.fourierTransformByMatmul(data, n, inverse) as Float32Array;\n      const output = complex_util.splitRealAndImagArrays(rawOutput);\n      return ops.complex(output.real, output.imag).as2D(x.shape[0], x.shape[1]);\n    }\n  }\n\n  private isExponentOf2(size: number): boolean {\n    return (size & size - 1) === 0;\n  }\n\n  // FFT using Cooley-Tukey algorithm on radix 2 dimensional input.\n  private fftRadix2(input: Tensor1D, size: number, inverse: boolean): Tensor1D {\n    if (size === 1) {\n      return input;\n    }\n    const data = this.readSync(input.dataId) as TypedArray as Float32Array;\n    const half = size / 2;\n    const evenComplex = complex_util.complexWithEvenIndex(data);\n    let evenTensor = ops.complex(evenComplex.real, evenComplex.imag).as1D();\n    const oddComplex = complex_util.complexWithOddIndex(data);\n    let oddTensor = ops.complex(oddComplex.real, oddComplex.imag).as1D();\n\n    // Recursive call for half part of original input.\n    evenTensor = this.fftRadix2(evenTensor, half, inverse);\n    oddTensor = this.fftRadix2(oddTensor, half, inverse);\n\n    const e = complex_util.exponents(size, inverse);\n    const exponent = ops.complex(e.real, e.imag).mul(oddTensor);\n\n    const addPart = evenTensor.add(exponent);\n    const subPart = evenTensor.sub(exponent);\n\n    const realTensor = ops.real(addPart).concat(ops.real(subPart));\n    const imagTensor = ops.imag(addPart).concat(ops.imag(subPart));\n\n    return ops.complex(realTensor, imagTensor).as1D();\n  }\n\n  // Calculate fourier transform by multplying sinusoid matrix.\n  private fourierTransformByMatmul(\n      data: TypedArray, size: number, inverse: boolean): TypedArray {\n    const ret = new Float32Array(size * 2);\n    // TODO: Use matmul instead once it supports complex64 type.\n    for (let r = 0; r < size; r++) {\n      let real = 0.0;\n      let imag = 0.0;\n      for (let c = 0; c < size; c++) {\n        const e = complex_util.exponent(r * c, size, inverse);\n        const term = complex_util.getComplexWithIndex(data as Float32Array, c);\n        real += term.real * e.real - term.imag * e.imag;\n        imag += term.real * e.imag + term.imag * e.real;\n      }\n      if (inverse) {\n        real /= size;\n        imag /= size;\n      }\n      complex_util.assignToTypedArray(ret, real, imag, r);\n    }\n    return ret;\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        dataFormat === 'NHWC',\n        () => `Only NHWC dataFormat supported on CPU for depthToSpace. Got ${\n            dataFormat}`);\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = x.shape[1];\n    const inputWidth = x.shape[2];\n    const inputDepth = x.shape[3];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result =\n        new Float32Array(batchSize * outputHeight * outputWidth * outputDepth);\n\n    let outputIdx = 0;\n    for (let b = 0; b < batchSize; ++b) {\n      for (let h = 0; h < outputHeight; ++h) {\n        const inH = Math.floor(h / blockSize);\n        const offsetH = (h % blockSize);\n        for (let w = 0; w < outputWidth; ++w) {\n          const inW = Math.floor(w / blockSize);\n          const offsetW = (w % blockSize);\n          const offsetD = (offsetH * blockSize + offsetW) * outputDepth;\n          for (let d = 0; d < outputDepth; ++d) {\n            const inD = d + offsetD;\n            const inputIdx =\n                inD + inputDepth * (inW + inputWidth * (inH + inputHeight * b));\n            result[outputIdx++] = xValues[inputIdx];\n          }\n        }\n      }\n    }\n    return ops.tensor4d(\n        result, [batchSize, outputHeight, outputWidth, outputDepth]);\n  }\n\n  private broadcastedBinaryOp(\n      a: Tensor, b: Tensor, dtype: DataType,\n      op: (a: number, b: number) => number): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const result = ops.buffer(newShape, dtype);\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const resVals = result.values;\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < resVals.length; ++i) {\n        resVals[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      const aBuf = this.bufferSync(a);\n      const bBuf = this.bufferSync(b);\n      for (let i = 0; i < resVals.length; ++i) {\n        const loc = result.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bBuf.locToIndex(bLoc);\n\n        resVals[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n    return result.toTensor();\n  }\n\n  private broadcastedBinaryComplexOp(\n      a: Tensor, b: Tensor,\n      op:\n          (aReal: number, aImag: number, bReal: number,\n           bImag: number) => {real: number, imag: number}): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const realResult = ops.buffer(newShape, 'float32');\n    const imagResult = ops.buffer(newShape, 'float32');\n\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const realVals = realResult.values;\n    const imagVals = imagResult.values;\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < realVals.length; i++) {\n        const aIdx = i % aVals.length;\n        const bIdx = i % bVals.length;\n\n        const result =\n            op(aVals[aIdx * 2], aVals[aIdx * 2 + 1], bVals[bIdx * 2],\n               bVals[bIdx * 2 + 1]);\n\n        realVals[i] = result.real;\n        imagVals[i] = result.imag;\n      }\n    } else {\n      const aRealBuf =\n          this.bufferSync(this.data.get(a.dataId).complexTensors.real);\n      const bRealBuf =\n          this.bufferSync(this.data.get(b.dataId).complexTensors.real);\n      for (let i = 0; i < realVals.length; i++) {\n        const loc = realResult.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aRealBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bRealBuf.locToIndex(bLoc);\n\n        const opResult =\n            op(aVals[aIndex * 2], aVals[aIndex * 2 + 1], bVals[bIndex * 2],\n               bVals[bIndex * 2 + 1]);\n\n        realVals[i] = opResult.real;\n        imagVals[i] = opResult.imag;\n      }\n    }\n    return this.complex(realResult.toTensor(), imagResult.toTensor());\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  dispose() {}\n\n  floatPrecision(): 16|32 {\n    return 32;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return EPSILON_FLOAT32;\n  }\n\n  cropAndResize(\n      images: Tensor4D,\n      boxes: Tensor2D,\n      boxIndex: Tensor1D,\n      cropSize: [number, number],\n      method: string,\n      extrapolationValue: number,\n  ) {\n    const [batch, imageHeight, imageWidth, numChannels] = images.shape;\n    const numBoxes = boxes.shape[0];\n\n    const [cropHeight, cropWidth] = cropSize;\n    const output =\n        ops.buffer([numBoxes, cropHeight, cropWidth, numChannels], 'float32');\n\n    const boxVals = this.readSync(boxes.dataId) as TypedArray;\n    const boxIndVals = this.readSync(boxIndex.dataId) as TypedArray;\n    const imageVals = this.readSync(images.dataId) as TypedArray;\n\n    const inStride = images.strides;   // to calculate flat indexes into image\n    const outStride = output.strides;  // to calculate flat indexes into output\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op.cc\n    for (let b = 0; b < numBoxes; b++) {\n      const startInd = b * 4;\n      const y1 = boxVals[startInd];\n      const x1 = boxVals[startInd + 1];\n      const y2 = boxVals[startInd + 2];\n      const x2 = boxVals[startInd + 3];\n\n      const bInd: number = boxIndVals[b];\n      if (bInd >= batch) {\n        continue;\n      }\n\n      const heightScale = (cropHeight > 1) ?\n          (y2 - y1) * (imageHeight - 1) / (cropHeight - 1) :\n          0;\n      const widthScale =\n          (cropWidth > 1) ? (x2 - x1) * (imageWidth - 1) / (cropWidth - 1) : 0;\n\n      for (let y = 0; y < cropHeight; y++) {\n        const yInd: number = (cropHeight > 1) ?\n            y1 * (imageHeight - 1) + y * (heightScale) :\n            0.5 * (y1 + y2) * (imageHeight - 1);\n\n        if (yInd < 0 || yInd > imageHeight - 1) {\n          for (let x = 0; x < cropWidth; x++) {\n            for (let c = 0; c < numChannels; c++) {\n              const ind =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = extrapolationValue;\n            }\n          }\n          continue;\n        }\n\n        if (method === 'bilinear') {\n          const topInd = Math.floor(yInd);\n          const bottomInd = Math.ceil(yInd);\n          const yLerp = yInd - topInd;\n\n          for (let x = 0; x < cropWidth; x++) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const leftInd = Math.floor(xInd);\n            const rightInd = Math.ceil(xInd);\n            const xLerp = xInd - leftInd;\n\n            for (let c = 0; c < numChannels; c++) {\n              let ind = c + leftInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topRight = imageVals[ind];\n\n              ind = c + leftInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomRight = imageVals[ind];\n\n              const top = topLeft + (topRight - topLeft) * xLerp;\n              const bottom = bottomLeft + (bottomRight - bottomLeft) * xLerp;\n\n              ind = c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = top + ((bottom - top) * yLerp);\n            }\n          }\n        } else {  // method == \"nearest\"\n          for (let x = 0; x < cropWidth; ++x) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const closestX = Math.round(xInd);\n            const closestY = Math.round(yInd);\n            for (let c = 0; c < numChannels; c++) {\n              const inInd = c + closestX * inStride[2] +\n                  closestY * inStride[1] + bInd * inStride[0];\n              const outInd =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[outInd] = imageVals[inInd];\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor4D;\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n    const sumDupeIndices = false;\n    return this.scatter(\n        sparseIndices, sparseValues, outputShape, outputSize, sliceSize,\n        numUpdates, sliceRank, strides, defaultValue, sumDupeIndices);\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n    if (numSlices === 0) {\n      return tensor([], resultShape, x.dtype);\n    }\n\n    const buffer = new TensorBuffer([numSlices, sliceSize], x.dtype);\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const xData = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < numSlices; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        flattenIndex += dim * strides[j];\n        index.push(dim);\n      }\n      if (flattenIndex < 0 || flattenIndex >= x.size / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${x.shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        buffer.values[i * sliceSize + k] = xData[flattenIndex * sliceSize + k];\n      }\n    }\n    return buffer.toTensor().reshape(resultShape);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n    const defaultValue = scalar(0);\n    const sumDupeIndices = true;\n    return this.scatter(\n        indices, updates, shape, outputSize, sliceSize, numUpdates, sliceRank,\n        strides, defaultValue, sumDupeIndices);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n    const values = getArrayFromDType(dtype, sizeFromShape(shape)) as TypedArray;\n    values.fill(value as number);\n    return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported for string tensors');\n    } else {\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    const values =\n        getArrayFromDType(x.dtype, sizeFromShape(x.shape)) as TypedArray;\n    return this.makeOutput(values, x.shape, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  private scatter<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R], outputSize: number,\n      sliceSize: number, numUpdates: number, sliceRank: number,\n      strides: number[], defaultValue: Scalar,\n      sumDupeIndices: boolean): Tensor<R> {\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const updatesData = this.readSync(updates.dataId) as TypedArray;\n\n    if (outputSize === 0) {\n      return tensor([], shape, updates.dtype);\n    }\n\n    const buffer = new TensorBuffer(flattenShape, updates.dtype as 'float32');\n    buffer.values.fill((this.readSync(defaultValue.dataId) as TypedArray)[0]);\n\n    for (let i = 0; i < numUpdates; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        index.push(dim);\n        flattenIndex += dim * strides[j];\n      }\n\n      if (flattenIndex < 0 || flattenIndex >= outputSize / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        if (sumDupeIndices) {\n          buffer.values[flattenIndex * sliceSize + k] +=\n              updatesData[i * sliceSize + k];\n        } else {\n          buffer.values[flattenIndex * sliceSize + k] = updates.rank === 0 ?\n              updatesData[0] :\n              updatesData[i * sliceSize + k];\n        }\n      }\n    }\n    return buffer.toTensor().reshape(shape);\n  }\n}\n\nENGINE.registerBackend('cpu', () => new MathBackendCPU(), 1 /* priority */);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as backend_util from '../../../backends/backend_util';\nimport {BinaryInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {DataType, NumericDataType, TypedArray} from '../../../types';\nimport * as util from '../../../util';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function createBinaryKernelConfig(\n    name: string,\n    op: (\n        aShape: number[], bShape: number[], aVals: TypedArray,\n        bVals: TypedArray,\n        dtype: DataType) => [TypedArray, number[]]): KernelConfig {\n  return {\n    kernelName: name,\n    backendName: 'cpu',\n    kernelFunc: ({inputs, backend}) => {\n      const {a, b} = inputs as BinaryInputs;\n      const cpuBackend = backend as MathBackendCPU;\n      assertNotComplex([a, b], name);\n\n      const aVals = cpuBackend.data.get(a.dataId).values as TypedArray;\n      const bVals = cpuBackend.data.get(b.dataId).values as TypedArray;\n\n      const [resultData, resultShape] =\n          op(a.shape, b.shape, aVals, bVals, a.dtype);\n\n      const dataId = cpuBackend.write(resultData, resultShape, a.dtype);\n      return {dataId, shape: resultShape, dtype: a.dtype};\n    }\n  };\n}\n\nexport function createBinaryKernelImpl(op: (a: number, b: number) => number) {\n  return (aShape: number[], bShape: number[], aVals: TypedArray,\n          bVals: TypedArray, dtype: DataType): [TypedArray, number[]] => {\n    const newShape = backend_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    const resultRank = newShape.length;\n    const resultStrides = util.computeStrides(newShape);\n    const resultSize = util.sizeFromShape(newShape);\n\n    const result =\n        util.getTypedArrayFromDType(dtype as NumericDataType, resultSize);\n\n    const aRank = aShape.length;\n    const bRank = bShape.length;\n\n    const aStrides = util.computeStrides(aShape);\n    const bStrides = util.computeStrides(bShape);\n\n    const aBroadcastDims = backend_util.getBroadcastDims(aShape, newShape);\n    const bBroadcastDims = backend_util.getBroadcastDims(bShape, newShape);\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < result.length; ++i) {\n        result[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      for (let i = 0; i < result.length; ++i) {\n        const loc = util.indexToLoc(i, resultRank, resultStrides);\n\n        const aLoc = loc.slice(-aRank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = util.locToIndex(aLoc, aRank, aStrides);\n\n        const bLoc = loc.slice(-bRank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = util.locToIndex(bLoc, bRank, bStrides);\n\n        result[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n\n    return [result, newShape];\n  };\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {createBinaryKernelImpl} from '../utils/kernel_utils';\n\nexport const divImpl = createBinaryKernelImpl((a: number, b: number) => a / b);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div} from '../../../kernel_names';\nimport {createBinaryKernelConfig} from '../utils/kernel_utils';\nimport {divImpl} from './Div_impl';\n\nexport const divConfig = createBinaryKernelConfig(Div, divImpl);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {MaxPoolWithArgmax, MaxPoolWithArgmaxAttrs, MaxPoolWithArgmaxInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport {TypedArray} from '../../../types';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nimport {maxPoolWithArgmaxImpl} from './MaxPoolWithArgmax_impl';\n\nexport const maxPoolWithArgmaxConfig: KernelConfig = {\n  kernelName: MaxPoolWithArgmax,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as MaxPoolWithArgmaxInputs;\n    const {filterSize, strides, pad, includeBatchInIndex} =\n        attrs as {} as MaxPoolWithArgmaxAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'MaxPoolWithArgmax');\n\n    const values = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const convInfo = conv_util.computePool2DInfo(\n        x.shape as [number, number, number, number], filterSize, strides,\n        [1, 1], pad);\n    const [pooled, indexes] = maxPoolWithArgmaxImpl(\n        values, x.shape, x.dtype, includeBatchInIndex, convInfo);\n\n    const pooledDataId =\n        cpuBackend.write(pooled as Float32Array, convInfo.outShape, x.dtype);\n    const indexesDataId =\n        cpuBackend.write(indexes as Int32Array, convInfo.outShape, x.dtype);\n    return [\n      {dataId: pooledDataId, shape: convInfo.outShape, dtype: x.dtype},\n      {dataId: indexesDataId, shape: convInfo.outShape, dtype: 'int32'}\n    ];\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Conv2DInfo} from '../../../ops/conv_util';\nimport {DataType, TypedArray} from '../../../types';\nimport {computeStrides} from '../../../util';\nimport {maxPoolPositions, pool} from '../pool_utils';\nexport function maxPoolWithArgmaxImpl(\n    xValues: TypedArray, xShape: number[], dtype: DataType,\n    includeBatchInIndex: boolean, convInfo: Conv2DInfo) {\n  const strides = computeStrides(xShape);\n  const maxPools = pool(xValues, xShape, dtype, strides, convInfo, 'max');\n  const maxPositions = maxPoolPositions(\n      xValues, xShape, dtype, convInfo, true, includeBatchInIndex);\n\n  return [maxPools.values, maxPositions.values];\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NonMaxSuppressionV5, NonMaxSuppressionV5Attrs, NonMaxSuppressionV5Inputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {TypedArray} from '../../../types';\nimport {nonMaxSuppressionV5} from '../../non_max_suppression_impl';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport const nonMaxSuppressionV5Config: KernelConfig = {\n  kernelName: NonMaxSuppressionV5,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    const {boxes, scores} = inputs as NonMaxSuppressionV5Inputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as unknown as NonMaxSuppressionV5Attrs;\n\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(boxes, 'NonMaxSuppressionWithScore');\n\n    const boxesVals = cpuBackend.data.get(boxes.dataId).values as TypedArray;\n    const scoresVals = cpuBackend.data.get(scores.dataId).values as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square, SquareInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport const squareConfig: KernelConfig = {\n  kernelName: Square,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'square');\n\n    const values = cpuBackend.data.get(x.dataId).values as Float32Array;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = value * value;\n    }\n    const dataId = cpuBackend.write(newValues, x.shape, x.dtype);\n    return {dataId, shape: x.shape, dtype: x.dtype};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SquaredDifference} from '../../../kernel_names';\nimport {createBinaryKernelImpl} from '../utils/kernel_utils';\nimport {createBinaryKernelConfig} from '../utils/kernel_utils';\n\nconst squaredDifferenceImpl = createBinaryKernelImpl((aVal, bVal) => {\n  const diff = aVal - bVal;\n  return diff * diff;\n});\n\nexport const squaredDifferenceConfig =\n    createBinaryKernelConfig(SquaredDifference, squaredDifferenceImpl);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NumericDataType, TypedArray} from '../../../types';\nimport * as util from '../../../util';\n\nexport function transposeImpl(\n    xVals: TypedArray, xShape: number[], dtype: DataType, perm: number[],\n    newShape: number[]): TypedArray {\n  const xSize = util.sizeFromShape(xShape);\n  const xRank = xShape.length;\n  const xStrides = util.computeStrides(xShape);\n  const newStrides = util.computeStrides(newShape);\n\n  const result = util.getTypedArrayFromDType(\n      dtype as NumericDataType, util.sizeFromShape(newShape));\n\n  for (let i = 0; i < xSize; ++i) {\n    const loc = util.indexToLoc(i, xRank, xStrides);\n\n    // Permute location.\n    const newLoc: number[] = new Array(loc.length);\n    for (let i = 0; i < newLoc.length; i++) {\n      newLoc[i] = loc[perm[i]];\n    }\n\n    const newIndex = util.locToIndex(newLoc, xRank, newStrides);\n    result[newIndex] = xVals[i];\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// We explicitly import the modular kernels so they get registered in the\n// global registry when we compile the library. A modular build would replace\n// the contents of this file and import only the kernels that are needed.\nimport {KernelConfig, registerKernel} from '../../kernel_registry';\n\nimport {divConfig} from './kernels/Div';\nimport {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';\nimport {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';\nimport {squareConfig} from './kernels/Square';\nimport {squaredDifferenceConfig} from './kernels/SquaredDifference';\nimport {transposeConfig} from './kernels/Transpose';\n\n// List all kernel configs here\nconst kernelConfigs: KernelConfig[] = [\n  nonMaxSuppressionV5Config, squareConfig, squaredDifferenceConfig, divConfig,\n  transposeConfig, maxPoolWithArgmaxConfig\n];\n\nfor (const kernelConfig of kernelConfigs) {\n  registerKernel(kernelConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Transpose, TransposeAttrs, TransposeInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {TypedArray} from '../../../types';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nimport {transposeImpl} from './Transpose_impl';\n\nexport const transposeConfig: KernelConfig = {\n  kernelName: Transpose,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as TransposeInputs;\n    const {perm} = attrs as {} as TransposeAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(x, 'transpose');\n\n    const xRank = x.shape.length;\n\n    const newShape: number[] = new Array(xRank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n\n    const values = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const result = transposeImpl(values, x.shape, x.dtype, perm, newShape);\n\n    const dataId = cpuBackend.write(result, newShape, x.dtype);\n    return {dataId, shape: newShape, dtype: x.dtype};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div, DivInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {divImpl} from './Div_impl';\n\nexport const divConfig: KernelConfig = {\n  kernelName: Div,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {a, b} = inputs as DivInputs;\n\n    const webglBackend = backend as MathBackendWebGL;\n\n    return divImpl(a, b, webglBackend);\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {FromPixels, FromPixelsAttrs, FromPixelsInputs} from '../../../kernel_names';\nimport {KernelFunc, TensorInfo} from '../../../kernel_registry';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {TextureUsage} from '../tex_util';\n\nimport {FromPixelsProgram} from './FromPixels_utils/from_pixels_gpu';\nimport {FromPixelsPackedProgram} from './FromPixels_utils/from_pixels_packed_gpu';\n\nexport const fromPixelsConfig: KernelConfig = {\n  kernelName: FromPixels,\n  backendName: 'webgl',\n  kernelFunc: fromPixels as {} as KernelFunc,\n};\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\nfunction fromPixels(args: {\n  inputs: FromPixelsInputs,\n  backend: MathBackendWebGL,\n  attrs: FromPixelsAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  let {pixels} = inputs;\n  const {numChannels} = attrs;\n\n  const isVideo = typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement;\n  const isImage = typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement;\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n\n  const texShape: [number, number] = [height, width];\n  const outShape = [height, width, numChannels];\n\n  if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement | HTMLImageElement, 0, 0, width, height);\n    pixels = fromPixels2DContext.canvas;\n  }\n\n  const tempPixelHandle = backend.makeTensorInfo(texShape, 'int32');\n  // This is a byte texture with pixels.\n  backend.texData.get(tempPixelHandle.dataId).usage = TextureUsage.PIXELS;\n  backend.gpgpu.uploadPixelDataToTexture(\n      backend.getTexture(tempPixelHandle.dataId), pixels as ImageData);\n  const program = env().getBool('WEBGL_PACK') ?\n      new FromPixelsPackedProgram(outShape) :\n      new FromPixelsProgram(outShape);\n  const res = backend.runWebGLProgram(program, [tempPixelHandle], 'int32');\n  backend.disposeData(tempPixelHandle.dataId);\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from '../../glsl_version';\nimport {GPGPUProgram} from '../../gpgpu_math';\n\nexport class FromPixelsProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${width}.0, ${height}.0);\n\n        vec4 values = ${glsl.texture2D}(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from '../../glsl_version';\nimport {GPGPUProgram} from '../../gpgpu_math';\n\nexport class FromPixelsPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2(${width}.0, ${height}.0);\n            vec4 values = ${glsl.texture2D}(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {MaxPoolWithArgmax, MaxPoolWithArgmaxAttrs, MaxPoolWithArgmaxInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport * as util from '../../../util';\nimport {MathBackendWebGL} from '../backend_webgl';\n\nimport {maxPoolWithArgmaxImpl} from './MaxPoolWithArgmax_impl';\n\nexport const maxPoolWithArgmaxConfig: KernelConfig = {\n  kernelName: MaxPoolWithArgmax,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as MaxPoolWithArgmaxInputs;\n    const {filterSize, strides, pad, includeBatchInIndex} =\n        attrs as {} as MaxPoolWithArgmaxAttrs;\n    const webglBackend = backend as MathBackendWebGL;\n\n    util.assert(\n        x.shape.length === 4,\n        () => `Error in maxPool: input must be rank 4 but got rank ${\n            x.shape.length}.`);\n    const dilations: [number, number] = [1, 1];\n    util.assert(\n        conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n        () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n            `Got strides ${strides} and dilations '${dilations}'`);\n\n    const convInfo = conv_util.computePool2DInfo(\n        x.shape as [number, number, number, number], filterSize, strides,\n        dilations, pad);\n\n    const [result, indexes] =\n        maxPoolWithArgmaxImpl(x, includeBatchInIndex, convInfo, webglBackend);\n    return [result, indexes];\n  }\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposeProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const switched = getSwitchedCoords(newDim);\n\n    this.userCode = `\n    void main() {\n      ${dtype} resRC = getOutputCoords();\n      setOutput(getA(${switched}));\n    }\n    `;\n  }\n}\n\nfunction getSwitchedCoords(newDim: number[]): string {\n  const rank = newDim.length;\n  if (rank > 6) {\n    throw Error(`Transpose for rank ${rank} is not yet supported`);\n  }\n  const originalOrder =\n      ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u', 'resRC.v'];\n  const switchedCoords = new Array(rank);\n  for (let i = 0; i < newDim.length; i++) {\n    switchedCoords[newDim[i]] = originalOrder[i];\n  }\n  return switchedCoords.join();\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getVecChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    if (this.rank > 6) {\n      throw Error(\n          `Packed transpose for rank ${this.rank} is not yet supported.`);\n    }\n    const dtype = getCoordsDataType(this.rank);\n\n    const outputOrder = getVecChannels('rc', this.rank);\n    const switchedOrder = new Array(this.rank);\n    for (let i = 0; i < newDim.length; i++) {\n      switchedOrder[newDim[i]] = outputOrder[i];\n    }\n    const innerDims = `vec2(${switchedOrder.slice(-2).join()})`;\n    const nextColumn =\n        `++${outputOrder[this.rank - 1]} < ${outputShape[this.rank - 1]}`;\n    const getc = `getChannel(getA(${switchedOrder.join()}), ${innerDims})`;\n\n    this.userCode = `\n    void main() {\n      ${dtype} rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ${getc};\n      if(${nextColumn}) {\n        result[1] = ${getc};\n      }\n      --${outputOrder[this.rank - 1]};\n      if(++${outputOrder[this.rank - 2]} < ${outputShape[this.rank - 2]}) {\n        result[2] = ${getc};\n        if(${nextColumn}) {\n          result[3] = ${getc};\n        }\n      }\n      setOutput(result);\n    }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {KernelConfig, registerKernel} from '../../kernel_registry';\n\nimport {divConfig} from './kernels/Div';\nimport {fromPixelsConfig} from './kernels/FromPixels';\nimport {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';\nimport {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';\nimport {squareConfig} from './kernels/Square';\nimport {squaredDifferenceConfig} from './kernels/SquaredDifference';\nimport {transposeConfig} from './kernels/Transpose';\n\n// List all kernel configs here\nconst kernelConfigs: KernelConfig[] = [\n  fromPixelsConfig, divConfig, nonMaxSuppressionV5Config, squareConfig,\n  squaredDifferenceConfig, transposeConfig, maxPoolWithArgmaxConfig\n];\n\nfor (const kernelConfig of kernelConfigs) {\n  registerKernel(kernelConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../../../../src/types';\nimport {transposeImpl as cpuTranspose} from '../../../backends/cpu/kernels/Transpose_impl';\nimport {Transpose, TransposeAttrs, TransposeInputs} from '../../../kernel_names';\nimport {KernelConfig, TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {transposeImpl} from './Transpose_impl';\n\nexport const transposeConfig: KernelConfig = {\n  kernelName: Transpose,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as TransposeInputs;\n    const {perm} = attrs as {} as TransposeAttrs;\n    const webglBackend = backend as MathBackendWebGL;\n\n    const xRank = x.shape.length;\n\n    const newShape: number[] = new Array(xRank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n\n    let out: TensorInfo;\n    if (webglBackend.shouldExecuteOnCPU([x])) {\n      const xTexData = webglBackend.texData.get(x.dataId);\n      const values = xTexData.values as TypedArray;\n      const outValues = cpuTranspose(values, x.shape, x.dtype, perm, newShape);\n\n      out = webglBackend.makeTensorInfo(newShape, x.dtype);\n      const outData = webglBackend.texData.get(out.dataId);\n      outData.values = outValues;\n    } else {\n      out = transposeImpl(x, perm, webglBackend);\n    }\n    return out;\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport * as binaryop_gpu from '../binaryop_gpu';\nimport {BinaryOpProgram} from '../binaryop_gpu';\nimport * as binaryop_packed_gpu from '../binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from '../binaryop_packed_gpu';\n\nexport function divImpl(\n    a: TensorInfo, b: TensorInfo, backend: MathBackendWebGL): TensorInfo {\n  let program = new BinaryOpProgram(binaryop_gpu.DIV, a.shape, b.shape);\n  if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n    program = new BinaryOpPackedProgram(\n        binaryop_packed_gpu.DIV, a.shape, b.shape, true);\n  }\n  const output = backend.runWebGLProgram(program, [a, b], 'float32');\n  return output;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NonMaxSuppressionV5, NonMaxSuppressionV5Attrs, NonMaxSuppressionV5Inputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {warn} from '../../../log';\nimport {TypedArray} from '../../../types';\nimport {nonMaxSuppressionV5} from '../../non_max_suppression_impl';\n\nimport {MathBackendWebGL} from '../backend_webgl';\n\nexport const nonMaxSuppressionV5Config: KernelConfig = {\n  kernelName: NonMaxSuppressionV5,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n\n    const {boxes, scores} = inputs as NonMaxSuppressionV5Inputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as unknown as NonMaxSuppressionV5Attrs;\n\n    const gpuBackend = backend as MathBackendWebGL;\n\n    const boxesVals = gpuBackend.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = gpuBackend.readSync(scores.dataId) as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square, SquareInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\n\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {SQUARE, UnaryOpProgram} from '../unaryop_gpu';\n\nexport const squareConfig: KernelConfig = {\n  kernelName: Square,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const webglBackend = backend as MathBackendWebGL;\n    const program = new UnaryOpProgram(x.shape, SQUARE);\n    return webglBackend.runWebGLProgram(program, [x], x.dtype);\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {SquaredDifference, SquaredDifferenceInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {BinaryOpProgram} from '../binaryop_gpu';\nimport {BinaryOpPackedProgram} from '../binaryop_packed_gpu';\n\nexport const squaredDifferenceConfig: KernelConfig = {\n  kernelName: SquaredDifference,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {a, b} = inputs as SquaredDifferenceInputs;\n    const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n    const webGLBackend = backend as MathBackendWebGL;\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(SQUARED_DIFFERENCE, a.shape, b.shape) :\n        new BinaryOpProgram(SQUARED_DIFFERENCE, a.shape, b.shape);\n    return webGLBackend.compileAndRun(program, [a, b]);\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {TransposeProgram} from '../transpose_gpu';\nimport {TransposePackedProgram} from '../transpose_packed_gpu';\n\nexport function transposeImpl(\n    x: TensorInfo, perm: number[], backend: MathBackendWebGL): TensorInfo {\n  const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n      new TransposePackedProgram(x.shape, perm) :\n      new TransposeProgram(x.shape, perm);\n  return backend.runWebGLProgram(program, [x], x.dtype);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {Pool2DProgram} from '../pool_gpu';\n\nexport function maxPoolWithArgmaxImpl(\n    x: TensorInfo, includeBatchInIndex: boolean, convInfo: conv_util.Conv2DInfo,\n    backend: MathBackendWebGL): TensorInfo[] {\n  let program = new Pool2DProgram(convInfo, 'max', false);\n  const poolOutput = backend.runWebGLProgram(program, [x], 'float32');\n\n  program = new Pool2DProgram(convInfo, 'max', true, true, includeBatchInIndex);\n  const indexOutput = backend.runWebGLProgram(program, [x], 'float32');\n  return [poolOutput, indexOutput];\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {addGradConfig} from './gradients/Add_grad';\nimport {addNGradConfig} from './gradients/AddN_grad';\nimport {broadcastToGradConfig} from './gradients/BroadcastTo_grad';\nimport {divGradConfig} from './gradients/Div_grad';\nimport {fusedBatchNormGradConfig} from './gradients/FusedBatchNorm_grad';\nimport {identityGradConfig} from './gradients/Identity_grad';\nimport {oneHotGradConfig} from './gradients/OneHot_grad';\nimport {padV2GradConfig} from './gradients/PadV2_grad';\nimport {squareGradConfig} from './gradients/Square_grad';\nimport {squaredDifferenceGradConfig} from './gradients/SquaredDifference_grad';\nimport {tileGradConfig} from './gradients/Tile_grad';\nimport {transposeGradConfig} from './gradients/Transpose_grad';\nimport {GradConfig} from './kernel_registry';\nimport {registerGradient} from './kernel_registry';\n\n// Export all kernel configs here so that the package can auto register them\nconst gradConfigs: GradConfig[] = [\n  addGradConfig, addNGradConfig, broadcastToGradConfig, divGradConfig,\n  fusedBatchNormGradConfig, identityGradConfig, oneHotGradConfig,\n  padV2GradConfig, squareGradConfig, squaredDifferenceGradConfig,\n  tileGradConfig, transposeGradConfig\n];\n\nfor (const gradientConfig of gradConfigs) {\n  registerGradient(gradientConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Add} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport * as broadcast_util from '../ops/broadcast_util';\nimport {Tensor} from '../tensor';\n\nexport const addGradConfig: GradConfig = {\n  kernelName: Add,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const outShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes(a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape(a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes(b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape(b.shape);\n    };\n\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AddN} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const addNGradConfig: GradConfig = {\n  kernelName: AddN,\n  saveAllInputs: true,\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const ders: {[key: string]: () => Tensor} = {};\n    saved.forEach((_, i) => {\n      ders[i] = () => dy.clone();\n    });\n    return ders;\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BroadcastTo, BroadCastToAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const broadcastToGradConfig: GradConfig = {\n  kernelName: BroadcastTo,\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const broadCastToAttrs: BroadCastToAttrs =\n        attrs as unknown as BroadCastToAttrs;\n\n    const inputShape = broadCastToAttrs.inputShape;\n    const outputShape = broadCastToAttrs.shape;\n\n    const reps: number[] = Array.from(outputShape);\n    for (let i = inputShape.length - 1; i >= 0; i--) {\n      if (inputShape[i] === outputShape[i]) {\n        reps[i] = 1;\n      } else if (inputShape[i] !== 1) {\n        throw new Error(`broadcastTo(): [${\n            inputShape}] cannot be broadcast to [${outputShape}].`);\n      }\n    }\n    const axes: number[] = [];\n    for (let i = 0; i < reps.length; i++) {\n      if (reps[i] > 1) {\n        axes.push(i);\n      }\n    }\n    const keepDims = true;\n    return {x: () => dy.sum(axes, keepDims)};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport * as broadcast_util from '../ops/broadcast_util';\nimport {div} from '../ops/div';\nimport {sum} from '../ops/reduction_ops';\nimport {square} from '../ops/square';\nimport {neg} from '../ops/unary_ops';\nimport {Tensor} from '../tensor';\n\nexport const divGradConfig: GradConfig = {\n  kernelName: Div,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const outShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const derA = () => {\n      const res = div(dy, b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes(a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return sum(res, reduceAxes).reshape(a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul(a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes(b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = sum(res, reduceAxes).reshape(b.shape);\n      }\n      const tmp = square(b);\n      return neg(div(res, tmp.toFloat()));\n    };\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {FusedBatchNorm, FusedBatchNormAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {xAs4D} from '../ops/batchnorm_util';\nimport {getReductionAxes} from '../ops/broadcast_util';\nimport {add, mul, reshape, sub} from '../ops/ops';\nimport {sum} from '../ops/reduction_ops';\nimport {scalar} from '../ops/tensor_ops';\nimport {tile} from '../ops/tile';\nimport {rsqrt} from '../ops/unary_ops';\nimport {Tensor, Tensor4D} from '../tensor';\nimport {Rank, ShapeMap} from '../types';\n\nexport const fusedBatchNormGradConfig: GradConfig = {\n  kernelName: FusedBatchNorm,\n  inputsToSave: ['x', 'mean', 'variance', 'scale'],\n  gradFunc: <R extends Rank>(\n      dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const batchNormalizationAttrs: FusedBatchNormAttrs =\n        attrs as {} as FusedBatchNormAttrs;\n    const {varianceEpsilon} = batchNormalizationAttrs;\n    const [x, mean, variance, scale] = saved;\n\n    const x4D: Tensor4D = xAs4D(x);\n\n    const scaleValue = scale == null ? scalar(1) : scale;\n    const reductionAxes = getReductionAxes(mean.shape, x4D.shape);\n    const tileShape: number[] = [];\n    if (mean.rank === 1) {\n      for (let i = 0; i < x4D.shape.length - 1; ++i) {\n        tileShape.push(x4D.shape[i]);\n      }\n      tileShape.push(1);\n    }\n\n    const xMinusMean = sub(x, mean);\n    const dyTimesScaleValue = mul(dy, scaleValue);\n    const oneOverSqrtVariance = rsqrt(add(variance, scalar(varianceEpsilon)));\n    const minusHalfRCube = mul(\n        mul(mul(oneOverSqrtVariance, oneOverSqrtVariance), oneOverSqrtVariance),\n        scalar(-0.5));\n\n    const derX = () => {\n      if (mean.rank === 1) {\n        return reshape(\n            mul(mul(dy,\n                    tile(\n                        oneOverSqrtVariance.as4D(1, 1, 1, mean.shape[0]),\n                        tileShape)),\n                scaleValue),\n            x.shape);\n      } else {\n        return reshape(mul(mul(dy, oneOverSqrtVariance), scaleValue), x.shape);\n      }\n    };\n    const derMean = () => {\n      let meanDer =\n          mul(mul(oneOverSqrtVariance, scalar(-1)), dyTimesScaleValue);\n      if (mean.rank === 1) {\n        meanDer = sum(meanDer, reductionAxes);\n      }\n      return reshape(meanDer, mean.shape as ShapeMap[R]);\n    };\n    const derVariance = () => {\n      let varianceDer = mul(mul(minusHalfRCube, xMinusMean), dyTimesScaleValue);\n\n      if (mean.rank === 1) {\n        varianceDer = sum(varianceDer, reductionAxes);\n      }\n      return reshape(varianceDer, mean.shape as ShapeMap[R]);\n    };\n    const derScale = () => {\n      const xMinusMean2TimesRsqrt = mul(xMinusMean, oneOverSqrtVariance);\n\n      let scaleDer = mul(dy, xMinusMean2TimesRsqrt);\n      if (mean.rank === 1) {\n        scaleDer = sum(scaleDer, reductionAxes);\n      }\n      return reshape(scaleDer, mean.shape as ShapeMap[R]);\n    };\n    const derOffset = () => {\n      let offsetDer = dy;\n      if (mean.rank === 1) {\n        offsetDer = sum(offsetDer, reductionAxes);\n      }\n      return reshape(offsetDer, mean.shape as ShapeMap[R]);\n    };\n    return {\n      x: derX,\n      mean: derMean,\n      variance: derVariance,\n      scale: derScale,\n      offset: derOffset\n    };\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Identity} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const identityGradConfig: GradConfig = {\n  kernelName: Identity,\n  gradFunc: (dy: Tensor) => {\n    return {x: () => dy.toFloat()};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OneHot} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const oneHotGradConfig: GradConfig = {\n  kernelName: OneHot,\n  inputsToSave: ['indices'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const indices = saved[0];\n    return {indices: () => zeros(indices.shape, 'float32')};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PadV2, PadV2Attrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const padV2GradConfig: GradConfig = {\n  kernelName: PadV2,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    // Pad introduces values around the original tensor, so the gradient\n    // slices the original shape out of the gradient.\n    const x = saved[0];\n    const {paddings} = attrs as unknown as PadV2Attrs;\n    const begin = paddings.map(p => p[0]);\n    return {x: () => dy.slice(begin, x.shape)};\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const squareGradConfig: GradConfig = {\n  kernelName: Square,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [x] = saved;\n    return {x: () => dy.mul(x.toFloat().mul(2))};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SquaredDifference} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {mul, sub} from '../ops/binary_ops';\nimport {scalar} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const squaredDifferenceGradConfig: GradConfig = {\n  kernelName: SquaredDifference,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const two = scalar(2);\n    const derA = () => mul(dy, mul(two, sub(a, b)));\n    const derB = () => mul(dy, mul(two, sub(b, a)));\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tile, TileAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {zerosLike} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const tileGradConfig: GradConfig = {\n  kernelName: Tile,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const [x] = saved;\n    const {reps} = attrs as unknown as TileAttrs;\n\n    const derX = () => {\n      let xGrad = zerosLike(x);\n      // TODO(cais): Maybe reduce memory footprint by avoiding repeated\n      // slicing.\n      if (x.rank === 1) {\n        for (let i = 0; i < reps[0]; ++i) {\n          xGrad = xGrad.add(dy.slice([i * x.shape[0]], [x.shape[0]]));\n        }\n      } else if (x.rank === 2) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            xGrad = xGrad.add(dy.slice(\n                [i * x.shape[0], j * x.shape[1]], [x.shape[0], x.shape[1]]));\n          }\n        }\n      } else if (x.rank === 3) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              xGrad = xGrad.add(dy.slice(\n                  [i * x.shape[0], j * x.shape[1], k * x.shape[2]],\n                  [x.shape[0], x.shape[1], x.shape[2]]));\n            }\n          }\n        }\n      } else if (x.rank === 4) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              for (let l = 0; l < reps[3]; ++l) {\n                xGrad = xGrad.add(dy.slice(\n                    [\n                      i * x.shape[0], j * x.shape[1], k * x.shape[2],\n                      l * x.shape[3]\n                    ],\n                    [x.shape[0], x.shape[1], x.shape[2], x.shape[3]]));\n              }\n            }\n          }\n        }\n      } else {\n        throw new Error(\n            `Gradient for tile operation is not implemented for rank-` +\n            `${x.rank} tensors yet.`);\n      }\n      return xGrad;\n    };\n    return {x: derX};\n  },\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Transpose, TransposeAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport * as axis_util from '../ops/axis_util';\nimport {transpose} from '../ops/transpose';\nimport {Tensor} from '../tensor';\n\nexport const transposeGradConfig: GradConfig = {\n  kernelName: Transpose,\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const transposeAttrs: TransposeAttrs = attrs as {} as TransposeAttrs;\n    const {perm} = transposeAttrs;\n    const undoPerm = axis_util.getUndoAxesPermutation(perm);\n    return {x: () => transpose(dy, undoPerm)};\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\nexport class PlatformBrowser implements Platform {\n  // According to the spec, the built-in encoder can do only UTF-8 encoding.\n  // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n  private textEncoder: TextEncoder;\n\n  fetch(path: string, init?: RequestInit): Promise<Response> {\n    return fetch(path, init);\n  }\n\n  now(): number {\n    return performance.now();\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Browser's encoder only supports utf-8, but got ${encoding}`);\n    }\n    if (this.textEncoder == null) {\n      this.textEncoder = new TextEncoder();\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    return new TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_BROWSER')) {\n  env().setPlatform('browser', new PlatformBrowser());\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\n// We are wrapping this within an object so it can be stubbed by Jasmine.\nexport const getNodeFetch = {\n  // tslint:disable-next-line:no-require-imports\n  importFetch: () => require('node-fetch')\n};\n\ntype FetchFn = (url: string, init?: RequestInit) => Promise<Response>;\nlet systemFetch: FetchFn;\n// These getters and setters are for testing so we don't export a mutable\n// variable.\nexport function resetSystemFetch() {\n  systemFetch = null;\n}\nexport function setSystemFetch(fetchFn: FetchFn) {\n  systemFetch = fetchFn;\n}\nexport function getSystemFetch(): FetchFn {\n  return systemFetch;\n}\n\nexport class PlatformNode implements Platform {\n  private textEncoder: TextEncoder;\n  // tslint:disable-next-line:no-any\n  util: any;\n\n  constructor() {\n    // tslint:disable-next-line:no-require-imports\n    this.util = require('util');\n    // According to the spec, the built-in encoder can do only UTF-8 encoding.\n    // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n    this.textEncoder = new this.util.TextEncoder();\n  }\n\n  fetch(path: string, requestInits?: RequestInit): Promise<Response> {\n    if (env().global.fetch != null) {\n      return env().global.fetch(path, requestInits);\n    }\n\n    if (systemFetch == null) {\n      systemFetch = getNodeFetch.importFetch();\n    }\n    return systemFetch(path, requestInits);\n  }\n\n  now(): number {\n    const time = process.hrtime();\n    return time[0] * 1000 + time[1] / 1000000;\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Node built-in encoder only supports utf-8, but got ${encoding}`);\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    if (bytes.length === 0) {\n      return '';\n    }\n    return new this.util.TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_NODE')) {\n  env().setPlatform('node', new PlatformNode());\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/* Type definitions for exporting and importing of models. */\n\n/**\n * A map from Tensor dtype to number of bytes per element of the Tensor.\n */\nexport const DTYPE_VALUE_SIZE_MAP: {[dtype: string]: number} = {\n  'float32': 4,\n  'int32': 4,\n  'uint16': 2,\n  'uint8': 1,\n  'bool': 1,\n};\n\n/**\n * A weight manifest.\n *\n * The weight manifest consists of an ordered list of weight-manifest groups.\n * Each weight-manifest group (\"group\" for short hereafter) consists of a\n * number of weight values stored in a number of paths.\n * See the documentation of `WeightManifestGroupConfig` below for more details.\n */\nexport declare type WeightsManifestConfig = WeightsManifestGroupConfig[];\n\n/**\n * A weight-manifest group.\n *\n * Consists of an ordered list of weight values encoded in binary format,\n * stored in an ordered list of paths.\n */\nexport declare interface WeightsManifestGroupConfig {\n  /**\n   * An ordered list of paths.\n   *\n   * Paths are intentionally abstract in order to be general. For example, they\n   * can be relative URL paths or relative paths on the file system.\n   */\n  paths: string[];\n\n  /**\n   * Specifications of the weights stored in the paths.\n   */\n  weights: WeightsManifestEntry[];\n}\n\n/**\n * Group to which the weight belongs.\n *\n * - 'optimizer': Weight from a stateful optimizer.\n */\nexport type WeightGroup = 'model'|'optimizer';\n\n/**\n * An entry in the weight manifest.\n *\n * The entry contains specification of a weight.\n */\nexport declare interface WeightsManifestEntry {\n  /**\n   * Name of the weight, e.g., 'Dense_1/bias'\n   */\n  name: string;\n\n  /**\n   * Shape of the weight.\n   */\n  shape: number[];\n\n  /**\n   * Data type of the weight.\n   */\n  dtype: 'float32'|'int32'|'bool'|'string';\n\n  /**\n   * Type of the weight.\n   *\n   * Optional.\n   *\n   * The value 'optimizer' indicates the weight belongs to an optimizer\n   * (i.e., used only during model training and not during inference).\n   */\n  group?: WeightGroup;\n\n  /**\n   * Information for dequantization of the weight.\n   */\n  quantization?: {\n    scale: number,           // The scaling constant to multiply by.\n    min: number,             // The (possibly nudged) minimum weight to add.\n    dtype: 'uint16'|'uint8'  // The dtype of the quantized weights.\n  };\n}\n\n/**\n * Options for saving a model.\n * @innamespace io\n */\nexport interface SaveConfig {\n  /**\n   * Whether to save only the trainable weights of the model, ignoring the\n   * non-trainable ones.\n   */\n  trainableOnly?: boolean;\n\n  /**\n   * Whether the optimizer will be saved (if exists).\n   *\n   * Default: `false`.\n   */\n  includeOptimizer?: boolean;\n}\n\n/**\n * Result of a saving operation.\n */\nexport interface SaveResult {\n  /**\n   * Information about the model artifacts saved.\n   */\n  modelArtifactsInfo: ModelArtifactsInfo;\n\n  /**\n   * HTTP responses from the server that handled the model-saving request (if\n   * any). This is applicable only to server-based saving routes.\n   */\n  responses?: Response[];\n\n  /**\n   * Error messages and related data (if any).\n   */\n  errors?: Array<{}|string>;\n}\n\nexport declare interface ModelArtifactsInfo {\n  /**\n   * Timestamp for when the model is saved.\n   */\n  dateSaved: Date;\n\n  /**\n   * TODO (cais,yassogba) consider removing GraphDef as GraphDefs now\n   * come in a JSON format and none of our IOHandlers support a non json\n   * format. We could conder replacing this with 'Binary' if we want to\n   * allow future handlers to save to non json formats (though they will\n   * probably want more information than 'Binary').\n   * Type of the model topology\n   *\n   * Type of the model topology\n   *\n   * Possible values:\n   *   - JSON: JSON config (human-readable, e.g., Keras JSON).\n   *   - GraphDef: TensorFlow\n   *     [GraphDef](https://www.tensorflow.org/extend/tool_developers/#graphdef)\n   *     protocol buffer (binary).\n   */\n  modelTopologyType: 'JSON'|'GraphDef';\n\n  /**\n   * Size of model topology (Keras JSON or GraphDef), in bytes.\n   */\n  modelTopologyBytes?: number;\n\n  /**\n   * Size of weight specification or manifest, in bytes.\n   */\n  weightSpecsBytes?: number;\n\n  /**\n   * Size of weight value data, in bytes.\n   */\n  weightDataBytes?: number;\n}\n\n/** Model training configuration. */\nexport declare interface TrainingConfig {\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  // See\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tfjs-layers/blob/master/src/keras_format/training_config.ts\n  /** Optimizer used for the model training. */\n  optimizer_config: {};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Loss function(s) for the model's output(s). */\n  loss: string|string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Metric function(s) for the model's output(s). */\n  metrics?: string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  weighted_metrics?: string[];\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  sample_weight_mode?: string;\n\n  loss_weights?: number[]|{[key: string]: number};\n}\n\n/**\n * The serialized artifacts of a model, including topology and weights.\n *\n * The `modelTopology`, `trainingConfig`, `weightSpecs` and `weightData` fields\n * of this interface are optional, in order to support topology- or weights-only\n * saving and loading.\n *\n * Note this interface is used internally in IOHandlers.  For the file format\n * written to disk as `model.json`, see `ModelJSON`.\n */\nexport declare interface ModelArtifacts {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology?: {}|ArrayBuffer;\n\n  /**\n   * Serialized configuration for the model's training.\n   */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weight specifications.\n   *\n   * This corresponds to the weightsData below.\n   */\n  weightSpecs?: WeightsManifestEntry[];\n\n  /**\n   * Binary buffer for all weight values concatenated in the order specified\n   * by `weightSpecs`.\n   */\n  weightData?: ArrayBuffer;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * The on-disk format of the `model.json` file.\n *\n * TF.js 1.0 always populates the optional fields when writing model.json.\n * Prior versions did not provide those fields.\n */\nexport declare interface ModelJSON {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology: {};\n\n  /** Model training configuration. */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weights manifest.\n   *\n   * The weights manifest consists of an ordered list of weight-manifest\n   * groups. Each weight-manifest group consists of a number of weight values\n   * stored in a number of paths. See the documentation of\n   * `WeightsManifestConfig` for more details.\n   */\n  weightsManifest: WeightsManifestConfig;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * Type definition for handlers of loading operations.\n */\nexport type LoadHandler = () => Promise<ModelArtifacts>;\n\n/**\n * Type definition for handlers of saving operations.\n */\nexport type SaveHandler = (modelArtifact: ModelArtifacts) =>\n    Promise<SaveResult>;\n\n/**\n * Interface for a model import/export handler.\n *\n * The `save` and `load` handlers are both optional, in order to allow handlers\n * that support only saving or loading.\n */\n// tslint:disable-next-line:interface-name\nexport interface IOHandler {\n  save?: SaveHandler;\n  load?: LoadHandler;\n}\n\n/**\n * An interface for the manager of a model store.\n *\n * A model store is defined as a storage medium on which multiple models can\n * be stored. Each stored model has a unique `path` as its identifier.\n * A `ModelStoreManager` for the store allows actions including\n *\n * - Listing the models stored in the store.\n * - Deleting a model from the store.\n */\nexport interface ModelStoreManager {\n  /**\n   * List all models in the model store.\n   *\n   * @returns A dictionary mapping paths of existing models to their\n   *   model artifacts info. Model artifacts info include type of the model's\n   *   topology, byte sizes of the topology, weights, etc.\n   */\n  listModels(): Promise<{[path: string]: ModelArtifactsInfo}>;\n\n  /**\n   * Remove a model specified by `path`.\n   *\n   * @param path\n   * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n   *   is successful).\n   * @throws Error if deletion fails, e.g., if no model exists at `path`.\n   */\n  removeModel(path: string): Promise<ModelArtifactsInfo>;\n}\n\n/**\n * Callback for the progress of a long-running action such as an HTTP\n * request for a large binary object.\n *\n * `fraction` should be a number in the [0, 1] interval, indicating how\n * much of the action has completed.\n */\nexport type OnProgressCallback = (fraction: number) => void;\n\n/** @innamespace io */\nexport interface LoadOptions {\n  /**\n   * RequestInit (options) for HTTP requests.\n   *\n   * For detailed information on the supported fields, see\n   * [https://developer.mozilla.org/en-US/docs/Web/API/Request/Request](\n   *     https://developer.mozilla.org/en-US/docs/Web/API/Request/Request)\n   */\n  requestInit?: RequestInit;\n\n  /**\n   * Progress callback.\n   */\n  onProgress?: OnProgressCallback;\n\n  /**\n   * A function used to override the `window.fetch` function.\n   */\n  fetchFunc?: Function;\n\n  /**\n   * Strict loading model: whether extraneous weights or missing\n   * weights should trigger an `Error`.\n   *\n   * If `true`, require that the provided weights exactly match those\n   * required by the layers. `false` means that both extra weights\n   * and missing weights will be silently ignored.\n   *\n   * Default: `true`.\n   */\n  strict?: boolean;\n\n  /**\n   * Path prefix for weight files, by default this is calculated from the\n   * path of the model JSON file.\n   *\n   * For instance, if the path to the model JSON file is\n   * `http://localhost/foo/model.json`, then the default path prefix will be\n   * `http://localhost/foo/`. If a weight file has the path value\n   * `group1-shard1of2` in the weight manifest, then the weight file will be\n   * loaded from `http://localhost/foo/group1-shard1of2` by default. However,\n   * if you provide a `weightPathPrefix` value of\n   * `http://localhost/foo/alt-weights`, then the weight file will be loaded\n   * from the path `http://localhost/foo/alt-weights/group1-shard1of2` instead.\n   */\n  weightPathPrefix?: string;\n\n  /**\n   * Whether the module or model is to be loaded from TF Hub.\n   *\n   * Setting this to `true` allows passing a TF-Hub module URL, omitting the\n   * standard model file name and the query parameters.\n   *\n   * Default: `false`.\n   */\n  fromTFHub?: boolean;\n}\n\n/**\n * Additional options for Platform.fetch\n */\nexport interface RequestDetails {\n  /**\n   * Is this request for a binary file (as opposed to a json file)\n   */\n  isBinary?: boolean;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {DTYPE_VALUE_SIZE_MAP, ModelArtifacts, ModelArtifactsInfo, WeightGroup, WeightsManifestEntry} from './types';\n\n/** Number of bytes reserved for the length of the string. (32bit integer). */\nconst NUM_BYTES_STRING_LENGTH = 4;\n\n/**\n * Encode a map from names to weight values as an ArrayBuffer, along with an\n * `Array` of `WeightsManifestEntry` as specification of the encoded weights.\n *\n * This function does not perform sharding.\n *\n * This function is the reverse of `decodeWeights`.\n *\n * @param tensors A map (\"dict\") from names to tensors.\n * @param group Group to which the weights belong (optional).\n * @returns A `Promise` of\n *   - A flat `ArrayBuffer` with all the binary values of the `Tensor`s\n *     concatenated.\n *   - An `Array` of `WeightManifestEntry`s, carrying information including\n *     tensor names, `dtype`s and shapes.\n * @throws Error: on unsupported tensor `dtype`.\n */\nexport async function encodeWeights(\n    tensors: NamedTensorMap|NamedTensor[], group?: WeightGroup):\n    Promise<{data: ArrayBuffer, specs: WeightsManifestEntry[]}> {\n  // TODO(adarob, cais): Support quantization.\n  const specs: WeightsManifestEntry[] = [];\n  const dataPromises: Array<Promise<TypedArray>> = [];\n\n  const names: string[] = Array.isArray(tensors) ?\n      tensors.map(tensor => tensor.name) :\n      Object.keys(tensors);\n\n  for (let i = 0; i < names.length; ++i) {\n    const name = names[i];\n    const t = Array.isArray(tensors) ? tensors[i].tensor : tensors[name];\n    if (t.dtype !== 'float32' && t.dtype !== 'int32' && t.dtype !== 'bool' &&\n        t.dtype !== 'string') {\n      throw new Error(`Unsupported dtype in weight '${name}': ${t.dtype}`);\n    }\n    const spec: WeightsManifestEntry = {name, shape: t.shape, dtype: t.dtype};\n    if (t.dtype === 'string') {\n      const utf8bytes = new Promise<TypedArray>(async resolve => {\n        const vals = await t.bytes() as Uint8Array[];\n        const totalNumBytes = vals.reduce((p, c) => p + c.length, 0) +\n            NUM_BYTES_STRING_LENGTH * vals.length;\n        const bytes = new Uint8Array(totalNumBytes);\n        let offset = 0;\n        for (let i = 0; i < vals.length; i++) {\n          const val = vals[i];\n          const bytesOfLength =\n              new Uint8Array(new Uint32Array([val.length]).buffer);\n          bytes.set(bytesOfLength, offset);\n          offset += NUM_BYTES_STRING_LENGTH;\n          bytes.set(val, offset);\n          offset += val.length;\n        }\n        resolve(bytes);\n      });\n      dataPromises.push(utf8bytes);\n    } else {\n      dataPromises.push(t.data());\n    }\n    if (group != null) {\n      spec.group = group;\n    }\n    specs.push(spec);\n  }\n\n  const tensorValues = await Promise.all(dataPromises);\n  return {data: concatenateTypedArrays(tensorValues), specs};\n}\n\n/**\n * Decode flat ArrayBuffer as weights.\n *\n * This function does not handle sharding.\n *\n * This function is the reverse of `encodeWeights`.\n *\n * @param buffer A flat ArrayBuffer carrying the binary values of the tensors\n *   concatenated in the order specified in `specs`.\n * @param specs Specifications of the names, dtypes and shapes of the tensors\n *   whose value are encoded by `buffer`.\n * @return A map from tensor name to tensor value, with the names corresponding\n *   to names in `specs`.\n * @throws Error, if any of the tensors has unsupported dtype.\n */\nexport function decodeWeights(\n    buffer: ArrayBuffer, specs: WeightsManifestEntry[]): NamedTensorMap {\n  // TODO(adarob, cais): Support quantization.\n  const out: NamedTensorMap = {};\n  let offset = 0;\n  for (const spec of specs) {\n    const name = spec.name;\n    const dtype = spec.dtype;\n    const shape = spec.shape;\n    const size = sizeFromShape(shape);\n    let values: TypedArray|string[]|Uint8Array[];\n\n    if ('quantization' in spec) {\n      const quantization = spec.quantization;\n      if (quantization.dtype !== 'uint8' && quantization.dtype !== 'uint16') {\n        throw new Error(\n            `Weight ${spec.name} has unknown ` +\n            `quantization dtype ${quantization.dtype}. ` +\n            `Supported quantization dtypes are: 'uint8' and 'uint16'.`);\n      }\n      const quantizationSizeFactor = DTYPE_VALUE_SIZE_MAP[quantization.dtype];\n      const byteBuffer =\n          buffer.slice(offset, offset + size * quantizationSizeFactor);\n      const quantizedArray = (quantization.dtype === 'uint8') ?\n          new Uint8Array(byteBuffer) :\n          new Uint16Array(byteBuffer);\n      if (dtype === 'float32') {\n        values = Float32Array.from(\n            quantizedArray, v => v * quantization.scale + quantization.min);\n      } else if (dtype === 'int32') {\n        values = Int32Array.from(\n            quantizedArray,\n            v => Math.round(v * quantization.scale + quantization.min));\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * quantizationSizeFactor;\n    } else if (dtype === 'string') {\n      const size = sizeFromShape(spec.shape);\n      values = [];\n      for (let i = 0; i < size; i++) {\n        const byteLength = new Uint32Array(\n            buffer.slice(offset, offset + NUM_BYTES_STRING_LENGTH))[0];\n        offset += NUM_BYTES_STRING_LENGTH;\n        const bytes = new Uint8Array(buffer.slice(offset, offset + byteLength));\n        (values as Uint8Array[]).push(bytes);\n        offset += byteLength;\n      }\n    } else {\n      const dtypeFactor = DTYPE_VALUE_SIZE_MAP[dtype];\n      const byteBuffer = buffer.slice(offset, offset + size * dtypeFactor);\n\n      if (dtype === 'float32') {\n        values = new Float32Array(byteBuffer);\n      } else if (dtype === 'int32') {\n        values = new Int32Array(byteBuffer);\n      } else if (dtype === 'bool') {\n        values = new Uint8Array(byteBuffer);\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * dtypeFactor;\n    }\n\n    out[name] = tensor(values, shape, dtype);\n  }\n  return out;\n}\n\n/**\n * Concatenate TypedArrays into an ArrayBuffer.\n */\nexport function concatenateTypedArrays(xs: TypedArray[]): ArrayBuffer {\n  // TODO(adarob, cais): Support quantization.\n  if (xs === null) {\n    throw new Error(`Invalid input value: ${JSON.stringify(xs)}`);\n  }\n\n  let totalByteLength = 0;\n\n  // `normalizedXs` is here for this reason: a `TypedArray`'s `buffer'\n  // can have a different byte length from that of the `TypedArray` itself,\n  // for example, when the `TypedArray` is created from an offset in an\n  // `ArrayBuffer`. `normliazedXs` holds `TypedArray`s whose `buffer`s match\n  // the `TypedArray` in byte length. If an element of `xs` does not show\n  // this property, a new `TypedArray` that satisfy this property will be\n  // constructed and pushed into `normalizedXs`.\n  const normalizedXs: TypedArray[] = [];\n  xs.forEach((x: TypedArray) => {\n    totalByteLength += x.byteLength;\n    // tslint:disable:no-any\n    normalizedXs.push(\n        x.byteLength === x.buffer.byteLength ? x :\n                                               new (x.constructor as any)(x));\n    if (!(x as any instanceof Float32Array || x as any instanceof Int32Array ||\n          x as any instanceof Uint8Array)) {\n      throw new Error(`Unsupported TypedArray subtype: ${x.constructor.name}`);\n    }\n    // tslint:enable:no-any\n  });\n\n  const y = new Uint8Array(totalByteLength);\n  let offset = 0;\n  normalizedXs.forEach((x: TypedArray) => {\n    y.set(new Uint8Array(x.buffer), offset);\n    offset += x.byteLength;\n  });\n\n  return y.buffer;\n}\n\n// Use Buffer on Node.js instead of Blob/atob/btoa\nconst useNodeBuffer = typeof Buffer !== 'undefined' &&\n    (typeof Blob === 'undefined' || typeof atob === 'undefined' ||\n     typeof btoa === 'undefined');\n\n/**\n * Calculate the byte length of a JavaScript string.\n *\n * Note that a JavaScript string can contain wide characters, therefore the\n * length of the string is not necessarily equal to the byte length.\n *\n * @param str Input string.\n * @returns Byte length.\n */\nexport function stringByteLength(str: string): number {\n  if (useNodeBuffer) {\n    return Buffer.byteLength(str);\n  }\n  return new Blob([str]).size;\n}\n\n/**\n * Encode an ArrayBuffer as a base64 encoded string.\n *\n * @param buffer `ArrayBuffer` to be converted.\n * @returns A string that base64-encodes `buffer`.\n */\nexport function arrayBufferToBase64String(buffer: ArrayBuffer): string {\n  if (useNodeBuffer) {\n    return Buffer.from(buffer).toString('base64');\n  }\n  const buf = new Uint8Array(buffer);\n  let s = '';\n  for (let i = 0, l = buf.length; i < l; i++) {\n    s += String.fromCharCode(buf[i]);\n  }\n  return btoa(s);\n}\n\n/**\n * Decode a base64 string as an ArrayBuffer.\n *\n * @param str Base64 string.\n * @returns Decoded `ArrayBuffer`.\n */\nexport function base64StringToArrayBuffer(str: string): ArrayBuffer {\n  if (useNodeBuffer) {\n    const buf = Buffer.from(str, 'base64');\n    return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);\n  }\n  const s = atob(str);\n  const buffer = new Uint8Array(s.length);\n  for (let i = 0; i < s.length; ++i) {\n    buffer.set([s.charCodeAt(i)], i);\n  }\n  return buffer.buffer;\n}\n\n/**\n * Concatenate a number of ArrayBuffers into one.\n *\n * @param buffers A number of array buffers to concatenate.\n * @returns Result of concatenating `buffers` in order.\n */\nexport function concatenateArrayBuffers(buffers: ArrayBuffer[]): ArrayBuffer {\n  let totalByteLength = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    totalByteLength += buffer.byteLength;\n  });\n\n  const temp = new Uint8Array(totalByteLength);\n  let offset = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    temp.set(new Uint8Array(buffer), offset);\n    offset += buffer.byteLength;\n  });\n  return temp.buffer;\n}\n\n/**\n * Get the basename of a path.\n *\n * Behaves in a way analogous to Linux's basename command.\n *\n * @param path\n */\nexport function basename(path: string): string {\n  const SEPARATOR = '/';\n  path = path.trim();\n  while (path.endsWith(SEPARATOR)) {\n    path = path.slice(0, path.length - 1);\n  }\n  const items = path.split(SEPARATOR);\n  return items[items.length - 1];\n}\n\n/**\n * Populate ModelArtifactsInfo fields for a model with JSON topology.\n * @param modelArtifacts\n * @returns A ModelArtifactsInfo object.\n */\nexport function getModelArtifactsInfoForJSON(modelArtifacts: ModelArtifacts):\n    ModelArtifactsInfo {\n  if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n    throw new Error('Expected JSON model topology, received ArrayBuffer.');\n  }\n\n  return {\n    dateSaved: new Date(),\n    modelTopologyType: 'JSON',\n    modelTopologyBytes: modelArtifacts.modelTopology == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),\n    weightSpecsBytes: modelArtifacts.weightSpecs == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),\n    weightDataBytes: modelArtifacts.weightData == null ?\n        0 :\n        modelArtifacts.weightData.byteLength,\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IOHandler} from './types';\n\nexport type IORouter = (url: string|string[], onProgress?: Function) =>\n    IOHandler;\n\nexport class IORouterRegistry {\n  // Singleton instance.\n  private static instance: IORouterRegistry;\n\n  private saveRouters: IORouter[];\n  private loadRouters: IORouter[];\n\n  private constructor() {\n    this.saveRouters = [];\n    this.loadRouters = [];\n  }\n\n  private static getInstance(): IORouterRegistry {\n    if (IORouterRegistry.instance == null) {\n      IORouterRegistry.instance = new IORouterRegistry();\n    }\n    return IORouterRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerSaveRouter(saveRouter: IORouter) {\n    IORouterRegistry.getInstance().saveRouters.push(saveRouter);\n  }\n\n  /**\n   * Register a load-handler router.\n   *\n   * @param loadRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `load` method defined or `null`.\n   */\n  static registerLoadRouter(loadRouter: IORouter) {\n    IORouterRegistry.getInstance().loadRouters.push(loadRouter);\n  }\n\n  /**\n   * Look up IOHandler for saving, given a URL-like string.\n   *\n   * @param url\n   * @returns If only one match is found, an instance of IOHandler with the\n   * `save` method defined. If no match is found, `null`.\n   * @throws Error, if more than one match is found.\n   */\n  static getSaveHandlers(url: string|string[]): IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'save');\n  }\n\n  /**\n   * Look up IOHandler for loading, given a URL-like string.\n   *\n   * @param url\n   * @param onProgress Optional, progress callback function, fired periodically\n   *   before the load is completed.\n   * @returns All valid handlers for `url`, given the currently registered\n   *   handler routers.\n   */\n  static getLoadHandlers(url: string|string[], onProgress?: Function):\n      IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'load', onProgress);\n  }\n\n  private static getHandlers(\n      url: string|string[], handlerType: 'save'|'load',\n      onProgress?: Function): IOHandler[] {\n    const validHandlers: IOHandler[] = [];\n    const routers = handlerType === 'load' ?\n        IORouterRegistry.getInstance().loadRouters :\n        IORouterRegistry.getInstance().saveRouters;\n    routers.forEach(router => {\n      const handler = router(url, onProgress);\n      if (handler !== null) {\n        validHandlers.push(handler);\n      }\n    });\n    return validHandlers;\n  }\n}\n\nexport const registerSaveRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerSaveRouter(loudRouter);\nexport const registerLoadRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerLoadRouter(loudRouter);\nexport const getSaveHandlers = (url: string|string[]) =>\n    IORouterRegistry.getSaveHandlers(url);\nexport const getLoadHandlers = (url: string|string[], onProgress?: Function) =>\n    IORouterRegistry.getLoadHandlers(url, onProgress);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Classes and functions for model management across multiple storage mediums.\n *\n * Supported client actions:\n * - Listing models on all registered storage mediums.\n * - Remove model by URL from any registered storage mediums, by using URL\n *   string.\n * - Moving or copying model from one path to another in the same medium or from\n *   one medium to another, by using URL strings.\n */\n\nimport {assert} from '../util';\n\nimport {IORouterRegistry} from './router_registry';\nimport {ModelArtifactsInfo, ModelStoreManager} from './types';\n\nconst URL_SCHEME_SUFFIX = '://';\n\nexport class ModelStoreManagerRegistry {\n  // Singleton instance.\n  private static instance: ModelStoreManagerRegistry;\n\n  private managers: {[scheme: string]: ModelStoreManager};\n\n  private constructor() {\n    this.managers = {};\n  }\n\n  private static getInstance(): ModelStoreManagerRegistry {\n    if (ModelStoreManagerRegistry.instance == null) {\n      ModelStoreManagerRegistry.instance = new ModelStoreManagerRegistry();\n    }\n    return ModelStoreManagerRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerManager(scheme: string, manager: ModelStoreManager) {\n    assert(scheme != null, () => 'scheme must not be undefined or null.');\n    if (scheme.endsWith(URL_SCHEME_SUFFIX)) {\n      scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));\n    }\n    assert(scheme.length > 0, () => 'scheme must not be an empty string.');\n    const registry = ModelStoreManagerRegistry.getInstance();\n    assert(\n        registry.managers[scheme] == null,\n        () => `A model store manager is already registered for scheme '${\n            scheme}'.`);\n    registry.managers[scheme] = manager;\n  }\n\n  static getManager(scheme: string): ModelStoreManager {\n    const manager = this.getInstance().managers[scheme];\n    if (manager == null) {\n      throw new Error(`Cannot find model manager for scheme '${scheme}'`);\n    }\n    return manager;\n  }\n\n  static getSchemes(): string[] {\n    return Object.keys(this.getInstance().managers);\n  }\n}\n\n/**\n * Helper method for parsing a URL string into a scheme and a path.\n *\n * @param url E.g., 'localstorage://my-model'\n * @returns A dictionary with two fields: scheme and path.\n *   Scheme: e.g., 'localstorage' in the example above.\n *   Path: e.g., 'my-model' in the example above.\n */\nfunction parseURL(url: string): {scheme: string, path: string} {\n  if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {\n    throw new Error(\n        `The url string provided does not contain a scheme. ` +\n        `Supported schemes are: ` +\n        `${ModelStoreManagerRegistry.getSchemes().join(',')}`);\n  }\n  return {\n    scheme: url.split(URL_SCHEME_SUFFIX)[0],\n    path: url.split(URL_SCHEME_SUFFIX)[1],\n  };\n}\n\nasync function cloneModelInternal(\n    sourceURL: string, destURL: string,\n    deleteSource = false): Promise<ModelArtifactsInfo> {\n  assert(\n      sourceURL !== destURL,\n      () => `Old path and new path are the same: '${sourceURL}'`);\n\n  const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);\n  assert(\n      loadHandlers.length > 0,\n      () => `Copying failed because no load handler is found for source URL ${\n          sourceURL}.`);\n  assert(\n      loadHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `load handlers for source URL ${sourceURL}.`);\n  const loadHandler = loadHandlers[0];\n\n  const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);\n  assert(\n      saveHandlers.length > 0,\n      () => `Copying failed because no save handler is found for destination ` +\n          `URL ${destURL}.`);\n  assert(\n      saveHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `save handlers for destination URL ${destURL}.`);\n  const saveHandler = saveHandlers[0];\n\n  const sourceScheme = parseURL(sourceURL).scheme;\n  const sourcePath = parseURL(sourceURL).path;\n  const sameMedium = sourceScheme === parseURL(sourceURL).scheme;\n\n  const modelArtifacts = await loadHandler.load();\n\n  // If moving within the same storage medium, remove the old model as soon as\n  // the loading is done. Without doing this, it is possible that the combined\n  // size of the two models will cause the cloning to fail.\n  if (deleteSource && sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  const saveResult = await saveHandler.save(modelArtifacts);\n\n  // If moving between mediums, the deletion is done after the save succeeds.\n  // This guards against the case in which saving to the destination medium\n  // fails.\n  if (deleteSource && !sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  return saveResult.modelArtifactsInfo;\n}\n\n/**\n * List all models stored in registered storage mediums.\n *\n * For a web browser environment, the registered mediums are Local Storage and\n * IndexedDB.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @returns A `Promise` of a dictionary mapping URLs of existing models to\n * their model artifacts info. URLs include medium-specific schemes, e.g.,\n *   'indexeddb://my/model/1'. Model artifacts info include type of the\n * model's topology, byte sizes of the topology, weights, etc.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function listModels(): Promise<{[url: string]: ModelArtifactsInfo}> {\n  const schemes = ModelStoreManagerRegistry.getSchemes();\n  const out: {[url: string]: ModelArtifactsInfo} = {};\n  for (const scheme of schemes) {\n    const schemeOut =\n        await ModelStoreManagerRegistry.getManager(scheme).listModels();\n    for (const path in schemeOut) {\n      const url = scheme + URL_SCHEME_SUFFIX + path;\n      out[url] = schemeOut[path];\n    }\n  }\n  return out;\n}\n\n/**\n * Remove a model specified by URL from a reigstered storage medium.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @param url A URL to a stored model, with a scheme prefix, e.g.,\n *   'localstorage://my-model-1', 'indexeddb://my/model/2'.\n * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n *   is successful).\n * @throws Error if deletion fails, e.g., if no model exists at `path`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function removeModel(url: string): Promise<ModelArtifactsInfo> {\n  const schemeAndPath = parseURL(url);\n  const manager = ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);\n  return manager.removeModel(schemeAndPath.path);\n}\n\n/**\n * Copy a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Copying within a storage medium, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Copying between two storage mediums, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Copy the model, from Local Storage to IndexedDB.\n * await tf.io.copyModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove both models.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of copying.\n * @param destURL Destination URL of copying.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if copying fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function copyModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = false;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\n/**\n * Move a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Moving within a storage medium, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Moving between two storage mediums, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Move the model, from Local Storage to IndexedDB.\n * await tf.io.moveModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove the moved model.\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of moving.\n * @param destURL Destination URL of moving.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if moving fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function moveModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = true;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\nexport {moveModel, copyModel, removeModel, listModels};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst DATABASE_NAME = 'tensorflowjs';\nconst DATABASE_VERSION = 1;\n\n// Model data and ModelArtifactsInfo (metadata) are stored in two separate\n// stores for efficient access of the list of stored models and their metadata.\n// 1. The object store for model data: topology, weights and weight manifests.\nconst MODEL_STORE_NAME = 'models_store';\n// 2. The object store for ModelArtifactsInfo, including meta-information such\n//    as the type of topology (JSON vs binary), byte size of the topology, byte\n//    size of the weights, etc.\nconst INFO_STORE_NAME = 'model_info_store';\n\n/**\n * Delete the entire database for tensorflow.js, including the models store.\n */\nexport async function deleteDatabase(): Promise<void> {\n  const idbFactory = getIndexedDBFactory();\n\n  return new Promise<void>((resolve, reject) => {\n    const deleteRequest = idbFactory.deleteDatabase(DATABASE_NAME);\n    deleteRequest.onsuccess = () => resolve();\n    deleteRequest.onerror = error => reject(error);\n  });\n}\n\nfunction getIndexedDBFactory(): IDBFactory {\n  if (!env().getBool('IS_BROWSER')) {\n    // TODO(cais): Add more info about what IOHandler subtypes are available.\n    //   Maybe point to a doc page on the web and/or automatically determine\n    //   the available IOHandlers and print them in the error message.\n    throw new Error(\n        'Failed to obtain IndexedDB factory because the current environment' +\n        'is not a web browser.');\n  }\n  // tslint:disable-next-line:no-any\n  const theWindow: any = window || self;\n  const factory = theWindow.indexedDB || theWindow.mozIndexedDB ||\n      theWindow.webkitIndexedDB || theWindow.msIndexedDB ||\n      theWindow.shimIndexedDB;\n  if (factory == null) {\n    throw new Error(\n        'The current browser does not appear to support IndexedDB.');\n  }\n  return factory;\n}\n\nfunction setUpDatabase(openRequest: IDBRequest) {\n  const db = openRequest.result as IDBDatabase;\n  db.createObjectStore(MODEL_STORE_NAME, {keyPath: 'modelPath'});\n  db.createObjectStore(INFO_STORE_NAME, {keyPath: 'modelPath'});\n}\n\n/**\n * IOHandler subclass: Browser IndexedDB.\n *\n * See the doc string of `browserIndexedDB` for more details.\n */\nexport class BrowserIndexedDB implements IOHandler {\n  protected readonly indexedDB: IDBFactory;\n  protected readonly modelPath: string;\n\n  static readonly URL_SCHEME = 'indexeddb://';\n\n  constructor(modelPath: string) {\n    this.indexedDB = getIndexedDBFactory();\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For IndexedDB, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    // TODO(cais): Support saving GraphDef models.\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    return this.databaseAction(this.modelPath, modelArtifacts) as\n        Promise<SaveResult>;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    return this.databaseAction(this.modelPath) as Promise<ModelArtifacts>;\n  }\n\n  /**\n   * Perform database action to put model artifacts into or read model artifacts\n   * from IndexedDB object store.\n   *\n   * Whether the action is put or get depends on whether `modelArtifacts` is\n   * specified. If it is specified, the action will be put; otherwise the action\n   * will be get.\n   *\n   * @param modelPath A unique string path for the model.\n   * @param modelArtifacts If specified, it will be the model artifacts to be\n   *   stored in IndexedDB.\n   * @returns A `Promise` of `SaveResult`, if the action is put, or a `Promise`\n   *   of `ModelArtifacts`, if the action is get.\n   */\n  private databaseAction(modelPath: string, modelArtifacts?: ModelArtifacts):\n      Promise<ModelArtifacts|SaveResult> {\n    return new Promise<ModelArtifacts|SaveResult>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n\n        if (modelArtifacts == null) {\n          // Read model out from object store.\n          const modelTx = db.transaction(MODEL_STORE_NAME, 'readonly');\n          const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n          const getRequest = modelStore.get(this.modelPath);\n          getRequest.onsuccess = () => {\n            if (getRequest.result == null) {\n              db.close();\n              return reject(new Error(\n                  `Cannot find model with path '${this.modelPath}' ` +\n                  `in IndexedDB.`));\n            } else {\n              resolve(getRequest.result.modelArtifacts);\n            }\n          };\n          getRequest.onerror = error => {\n            db.close();\n            return reject(getRequest.error);\n          };\n          modelTx.oncomplete = () => db.close();\n        } else {\n          // Put model into object store.\n          const modelArtifactsInfo: ModelArtifactsInfo =\n              getModelArtifactsInfoForJSON(modelArtifacts);\n          // First, put ModelArtifactsInfo into info store.\n          const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n          let infoStore = infoTx.objectStore(INFO_STORE_NAME);\n          const putInfoRequest =\n              infoStore.put({modelPath: this.modelPath, modelArtifactsInfo});\n          let modelTx: IDBTransaction;\n          putInfoRequest.onsuccess = () => {\n            // Second, put model data into model store.\n            modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n            const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n            const putModelRequest = modelStore.put({\n              modelPath: this.modelPath,\n              modelArtifacts,\n              modelArtifactsInfo\n            });\n            putModelRequest.onsuccess = () => resolve({modelArtifactsInfo});\n            putModelRequest.onerror = error => {\n              // If the put-model request fails, roll back the info entry as\n              // well.\n              infoStore = infoTx.objectStore(INFO_STORE_NAME);\n              const deleteInfoRequest = infoStore.delete(this.modelPath);\n              deleteInfoRequest.onsuccess = () => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n              deleteInfoRequest.onerror = error => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n            };\n          };\n          putInfoRequest.onerror = error => {\n            db.close();\n            return reject(putInfoRequest.error);\n          };\n          infoTx.oncomplete = () => {\n            if (modelTx == null) {\n              db.close();\n            } else {\n              modelTx.oncomplete = () => db.close();\n            }\n          };\n        }\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nexport const indexedDBRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserIndexedDB.URL_SCHEME)) {\n      return browserIndexedDB(url.slice(BrowserIndexedDB.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(indexedDBRouter);\nIORouterRegistry.registerLoadRouter(indexedDBRouter);\n\n/**\n * Creates a browser IndexedDB IOHandler for saving and loading models.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save('indexeddb://MyModel'));\n * console.log(saveResult);\n * ```\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),\n *   which can be used with, e.g., `tf.Model.save`.\n */\nexport function browserIndexedDB(modelPath: string): IOHandler {\n  return new BrowserIndexedDB(modelPath);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserIndexedDB.URL_SCHEME) ?\n      key.slice(BrowserIndexedDB.URL_SCHEME.length) :\n      key;\n}\n\nexport class BrowserIndexedDBManager implements ModelStoreManager {\n  private indexedDB: IDBFactory;\n\n  constructor() {\n    this.indexedDB = getIndexedDBFactory();\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    return new Promise<{[path: string]: ModelArtifactsInfo}>(\n        (resolve, reject) => {\n          const openRequest =\n              this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n          openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n          openRequest.onsuccess = () => {\n            const db = openRequest.result;\n            const tx = db.transaction(INFO_STORE_NAME, 'readonly');\n            const store = tx.objectStore(INFO_STORE_NAME);\n            // tslint:disable:max-line-length\n            // Need to cast `store` as `any` here because TypeScript's DOM\n            // library does not have the `getAll()` method even though the\n            // method is supported in the latest version of most mainstream\n            // browsers:\n            // https://developer.mozilla.org/en-US/docs/Web/API/IDBObjectStore/getAll\n            // tslint:enable:max-line-length\n            // tslint:disable-next-line:no-any\n            const getAllInfoRequest = (store as any).getAll() as IDBRequest;\n            getAllInfoRequest.onsuccess = () => {\n              const out: {[path: string]: ModelArtifactsInfo} = {};\n              for (const item of getAllInfoRequest.result) {\n                out[item.modelPath] = item.modelArtifactsInfo;\n              }\n              resolve(out);\n            };\n            getAllInfoRequest.onerror = error => {\n              db.close();\n              return reject(getAllInfoRequest.error);\n            };\n            tx.oncomplete = () => db.close();\n          };\n          openRequest.onerror = error => reject(openRequest.error);\n        });\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    return new Promise<ModelArtifactsInfo>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n        const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n        const infoStore = infoTx.objectStore(INFO_STORE_NAME);\n\n        const getInfoRequest = infoStore.get(path);\n        let modelTx: IDBTransaction;\n        getInfoRequest.onsuccess = () => {\n          if (getInfoRequest.result == null) {\n            db.close();\n            return reject(new Error(\n                `Cannot find model with path '${path}' ` +\n                `in IndexedDB.`));\n          } else {\n            // First, delete the entry in the info store.\n            const deleteInfoRequest = infoStore.delete(path);\n            const deleteModelData = () => {\n              // Second, delete the entry in the model store.\n              modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n              const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n              const deleteModelRequest = modelStore.delete(path);\n              deleteModelRequest.onsuccess = () =>\n                  resolve(getInfoRequest.result.modelArtifactsInfo);\n              deleteModelRequest.onerror = error =>\n                  reject(getInfoRequest.error);\n            };\n            // Proceed with deleting model data regardless of whether deletion\n            // of info data succeeds or not.\n            deleteInfoRequest.onsuccess = deleteModelData;\n            deleteInfoRequest.onerror = error => {\n              deleteModelData();\n              db.close();\n              return reject(getInfoRequest.error);\n            };\n          }\n        };\n        getInfoRequest.onerror = error => {\n          db.close();\n          return reject(getInfoRequest.error);\n        };\n\n        infoTx.oncomplete = () => {\n          if (modelTx == null) {\n            db.close();\n          } else {\n            modelTx.oncomplete = () => db.close();\n          }\n        };\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {arrayBufferToBase64String, base64StringToArrayBuffer, getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst PATH_SEPARATOR = '/';\nconst PATH_PREFIX = 'tensorflowjs_models';\nconst INFO_SUFFIX = 'info';\nconst MODEL_TOPOLOGY_SUFFIX = 'model_topology';\nconst WEIGHT_SPECS_SUFFIX = 'weight_specs';\nconst WEIGHT_DATA_SUFFIX = 'weight_data';\nconst MODEL_METADATA_SUFFIX = 'model_metadata';\n\n/**\n * Purge all tensorflow.js-saved model artifacts from local storage.\n *\n * @returns Paths of the models purged.\n */\nexport function purgeLocalStorageArtifacts(): string[] {\n  if (!env().getBool('IS_BROWSER') ||\n      typeof window === 'undefined' ||\n      typeof window.localStorage === 'undefined') {\n    throw new Error(\n        'purgeLocalStorageModels() cannot proceed because local storage is ' +\n        'unavailable in the current environment.');\n  }\n  const LS = window.localStorage;\n  const purgedModelPaths: string[] = [];\n  for (let i = 0; i < LS.length; ++i) {\n    const key = LS.key(i);\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    if (key.startsWith(prefix) && key.length > prefix.length) {\n      LS.removeItem(key);\n      const modelName = getModelPathFromKey(key);\n      if (purgedModelPaths.indexOf(modelName) === -1) {\n        purgedModelPaths.push(modelName);\n      }\n    }\n  }\n  return purgedModelPaths;\n}\n\nfunction getModelKeys(path: string): {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n} {\n  return {\n    info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),\n    topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),\n    weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),\n    weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),\n    modelMetadata:\n        [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR)\n  };\n}\n\n/**\n * Get model path from a local-storage key.\n *\n * E.g., 'tensorflowjs_models/my/model/1/info' --> 'my/model/1'\n *\n * @param key\n */\nfunction getModelPathFromKey(key: string) {\n  const items = key.split(PATH_SEPARATOR);\n  if (items.length < 3) {\n    throw new Error(`Invalid key format: ${key}`);\n  }\n  return items.slice(1, items.length - 1).join(PATH_SEPARATOR);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserLocalStorage.URL_SCHEME) ?\n      key.slice(BrowserLocalStorage.URL_SCHEME.length) :\n      key;\n}\n\ndeclare type LocalStorageKeys = {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n};\n\n/**\n * IOHandler subclass: Browser Local Storage.\n *\n * See the doc string to `browserLocalStorage` for more details.\n */\nexport class BrowserLocalStorage implements IOHandler {\n  protected readonly LS: Storage;\n  protected readonly modelPath: string;\n  protected readonly keys: LocalStorageKeys;\n\n  static readonly URL_SCHEME = 'localstorage://';\n\n  constructor(modelPath: string) {\n    if (!env().getBool('IS_BROWSER') ||\n          typeof window === 'undefined' ||\n          typeof window.localStorage === 'undefined') {\n      // TODO(cais): Add more info about what IOHandler subtypes are\n      // available.\n      //   Maybe point to a doc page on the web and/or automatically determine\n      //   the available IOHandlers and print them in the error message.\n      throw new Error(\n          'The current environment does not support local storage.');\n    }\n    this.LS = window.localStorage;\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For local storage, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n    this.keys = getModelKeys(this.modelPath);\n  }\n\n  /**\n   * Save model artifacts to browser local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @param modelArtifacts The model artifacts to be stored.\n   * @returns An instance of SaveResult.\n   */\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const topology = JSON.stringify(modelArtifacts.modelTopology);\n      const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);\n\n      const modelArtifactsInfo: ModelArtifactsInfo =\n          getModelArtifactsInfoForJSON(modelArtifacts);\n\n      try {\n        this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));\n        this.LS.setItem(this.keys.topology, topology);\n        this.LS.setItem(this.keys.weightSpecs, weightSpecs);\n        this.LS.setItem(\n            this.keys.weightData,\n            arrayBufferToBase64String(modelArtifacts.weightData));\n        this.LS.setItem(this.keys.modelMetadata, JSON.stringify({\n          format: modelArtifacts.format,\n          generatedBy: modelArtifacts.generatedBy,\n          convertedBy: modelArtifacts.convertedBy,\n          userDefinedMetadata: modelArtifacts.userDefinedMetadata\n        }));\n\n        return {modelArtifactsInfo};\n      } catch (err) {\n        // If saving failed, clean up all items saved so far.\n        this.LS.removeItem(this.keys.info);\n        this.LS.removeItem(this.keys.topology);\n        this.LS.removeItem(this.keys.weightSpecs);\n        this.LS.removeItem(this.keys.weightData);\n        this.LS.removeItem(this.keys.modelMetadata);\n\n        throw new Error(\n            `Failed to save model '${this.modelPath}' to local storage: ` +\n            `size quota being exceeded is a possible cause of this failure: ` +\n            `modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, ` +\n            `weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, ` +\n            `weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`);\n      }\n    }\n  }\n\n  /**\n   * Load a model from local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const info =\n        JSON.parse(this.LS.getItem(this.keys.info)) as ModelArtifactsInfo;\n    if (info == null) {\n      throw new Error(\n          `In local storage, there is no model with name '${this.modelPath}'`);\n    }\n\n    if (info.modelTopologyType !== 'JSON') {\n      throw new Error(\n          'BrowserLocalStorage does not support loading non-JSON model ' +\n          'topology yet.');\n    }\n\n    const out: ModelArtifacts = {};\n\n    // Load topology.\n    const topology = JSON.parse(this.LS.getItem(this.keys.topology));\n    if (topology == null) {\n      throw new Error(\n          `In local storage, the topology of model '${this.modelPath}' ` +\n          `is missing.`);\n    }\n    out.modelTopology = topology;\n\n    // Load weight specs.\n    const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));\n    if (weightSpecs == null) {\n      throw new Error(\n          `In local storage, the weight specs of model '${this.modelPath}' ` +\n          `are missing.`);\n    }\n    out.weightSpecs = weightSpecs;\n\n    // Load meta-data fields.\n    const metadataString = this.LS.getItem(this.keys.modelMetadata);\n    if (metadataString != null) {\n      const metadata = JSON.parse(metadataString) as ModelArtifacts;\n      out.format = metadata['format'];\n      out.generatedBy = metadata['generatedBy'];\n      out.convertedBy = metadata['convertedBy'];\n      out.userDefinedMetadata = metadata['userDefinedMetadata'];\n    }\n\n    // Load weight data.\n    const weightDataBase64 = this.LS.getItem(this.keys.weightData);\n    if (weightDataBase64 == null) {\n      throw new Error(\n          `In local storage, the binary weight values of model ` +\n          `'${this.modelPath}' are missing.`);\n    }\n    out.weightData = base64StringToArrayBuffer(weightDataBase64);\n\n    return out;\n  }\n}\n\nexport const localStorageRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserLocalStorage.URL_SCHEME)) {\n      return browserLocalStorage(\n          url.slice(BrowserLocalStorage.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(localStorageRouter);\nIORouterRegistry.registerLoadRouter(localStorageRouter);\n\n/**\n * Factory function for local storage IOHandler.\n *\n * This `IOHandler` supports both `save` and `load`.\n *\n * For each model's saved artifacts, four items are saved to local storage.\n *   - `${PATH_SEPARATOR}/${modelPath}/info`: Contains meta-info about the\n *     model, such as date saved, type of the topology, size in bytes, etc.\n *   - `${PATH_SEPARATOR}/${modelPath}/topology`: Model topology. For Keras-\n *     style models, this is a stringized JSON.\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_specs`: Weight specs of the\n *     model, can be used to decode the saved binary weight values (see\n *     item below).\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_data`: Concatenated binary\n *     weight values, stored as a base64-encoded string.\n *\n * Saving may throw an `Error` if the total size of the artifacts exceed the\n * browser-specific quota.\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `IOHandler`, which can be used with, e.g.,\n *   `tf.Model.save`.\n */\nexport function browserLocalStorage(modelPath: string): IOHandler {\n  return new BrowserLocalStorage(modelPath);\n}\n\nexport class BrowserLocalStorageManager implements ModelStoreManager {\n  private readonly LS: Storage;\n\n  constructor() {\n    assert(\n        env().getBool('IS_BROWSER'),\n        () => 'Current environment is not a web browser');\n    assert(\n        typeof window === 'undefined' ||\n        typeof window.localStorage !== 'undefined',\n        () => 'Current browser does not appear to support localStorage');\n    this.LS = window.localStorage;\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    const out: {[path: string]: ModelArtifactsInfo} = {};\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    const suffix = PATH_SEPARATOR + INFO_SUFFIX;\n    for (let i = 0; i < this.LS.length; ++i) {\n      const key = this.LS.key(i);\n      if (key.startsWith(prefix) && key.endsWith(suffix)) {\n        const modelPath = getModelPathFromKey(key);\n        out[modelPath] = JSON.parse(this.LS.getItem(key)) as ModelArtifactsInfo;\n      }\n    }\n    return out;\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    const keys = getModelKeys(path);\n    if (this.LS.getItem(keys.info) == null) {\n      throw new Error(`Cannot find model at path '${path}'`);\n    }\n    const info = JSON.parse(this.LS.getItem(keys.info)) as ModelArtifactsInfo;\n\n    this.LS.removeItem(keys.info);\n    this.LS.removeItem(keys.topology);\n    this.LS.removeItem(keys.weightSpecs);\n    this.LS.removeItem(keys.weightData);\n    return info;\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers related to files, such as browser-triggered file downloads,\n * user-selected files in browser.\n */\n\nimport {env} from '../environment';\n\nimport {basename, concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelJSON, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\nconst DEFAULT_FILE_NAME_PREFIX = 'model';\nconst DEFAULT_JSON_EXTENSION_NAME = '.json';\nconst DEFAULT_WEIGHT_DATA_EXTENSION_NAME = '.weights.bin';\n\nfunction defer<T>(f: () => T): Promise<T> {\n  return new Promise(resolve => setTimeout(resolve)).then(f);\n}\n\nexport class BrowserDownloads implements IOHandler {\n  private readonly modelTopologyFileName: string;\n  private readonly weightDataFileName: string;\n  private readonly jsonAnchor: HTMLAnchorElement;\n  private readonly weightDataAnchor: HTMLAnchorElement;\n\n  static readonly URL_SCHEME = 'downloads://';\n\n  constructor(fileNamePrefix?: string) {\n    if (!env().getBool('IS_BROWSER')) {\n      // TODO(cais): Provide info on what IOHandlers are available under the\n      //   current environment.\n      throw new Error(\n          'browserDownloads() cannot proceed because the current environment ' +\n          'is not a browser.');\n    }\n\n    if (fileNamePrefix.startsWith(BrowserDownloads.URL_SCHEME)) {\n      fileNamePrefix = fileNamePrefix.slice(BrowserDownloads.URL_SCHEME.length);\n    }\n    if (fileNamePrefix == null || fileNamePrefix.length === 0) {\n      fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;\n    }\n\n    this.modelTopologyFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;\n    this.weightDataFileName =\n        fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (typeof (document) === 'undefined') {\n      throw new Error(\n          'Browser downloads are not supported in ' +\n          'this environment since `document` is not present');\n    }\n    const weightsURL = window.URL.createObjectURL(new Blob(\n        [modelArtifacts.weightData], {type: 'application/octet-stream'}));\n\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserDownloads.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const weightsManifest: WeightsManifestConfig = [{\n        paths: ['./' + this.weightDataFileName],\n        weights: modelArtifacts.weightSpecs\n      }];\n      const modelTopologyAndWeightManifest: ModelJSON = {\n        modelTopology: modelArtifacts.modelTopology,\n        format: modelArtifacts.format,\n        generatedBy: modelArtifacts.generatedBy,\n        convertedBy: modelArtifacts.convertedBy,\n        weightsManifest\n      };\n      const modelTopologyAndWeightManifestURL =\n          window.URL.createObjectURL(new Blob(\n              [JSON.stringify(modelTopologyAndWeightManifest)],\n              {type: 'application/json'}));\n\n      // If anchor elements are not provided, create them without attaching them\n      // to parents, so that the downloaded file names can be controlled.\n      const jsonAnchor = this.jsonAnchor == null ? document.createElement('a') :\n                                                   this.jsonAnchor;\n      jsonAnchor.download = this.modelTopologyFileName;\n      jsonAnchor.href = modelTopologyAndWeightManifestURL;\n      // Trigger downloads by evoking a click event on the download anchors.\n      // When multiple downloads are started synchronously, Firefox will only\n      // save the last one.\n      await defer(() => jsonAnchor.dispatchEvent(new MouseEvent('click')));\n\n      if (modelArtifacts.weightData != null) {\n        const weightDataAnchor = this.weightDataAnchor == null ?\n            document.createElement('a') :\n            this.weightDataAnchor;\n        weightDataAnchor.download = this.weightDataFileName;\n        weightDataAnchor.href = weightsURL;\n        await defer(\n            () => weightDataAnchor.dispatchEvent(new MouseEvent('click')));\n      }\n\n      return {modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts)};\n    }\n  }\n}\n\nclass BrowserFiles implements IOHandler {\n  private readonly files: File[];\n\n  constructor(files: File[]) {\n    if (files == null || files.length < 1) {\n      throw new Error(\n          `When calling browserFiles, at least 1 file is required, ` +\n          `but received ${files}`);\n    }\n    this.files = files;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    const jsonFile = this.files[0];\n    const weightFiles = this.files.slice(1);\n\n    return new Promise<ModelArtifacts>((resolve, reject) => {\n      const jsonReader = new FileReader();\n      jsonReader.onload = (event: Event) => {\n        // tslint:disable-next-line:no-any\n        const modelJSON = JSON.parse((event.target as any).result) as ModelJSON;\n        const modelTopology = modelJSON.modelTopology;\n        if (modelTopology == null) {\n          reject(new Error(\n              `modelTopology field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        if (weightFiles.length === 0) {\n          resolve({modelTopology});\n        }\n\n        const weightsManifest = modelJSON.weightsManifest;\n        if (weightsManifest == null) {\n          reject(new Error(\n              `weightManifest field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        let pathToFile: {[path: string]: File};\n        try {\n          pathToFile =\n              this.checkManifestAndWeightFiles(weightsManifest, weightFiles);\n        } catch (err) {\n          reject(err);\n          return;\n        }\n\n        const weightSpecs: WeightsManifestEntry[] = [];\n        const paths: string[] = [];\n        const perFileBuffers: ArrayBuffer[] = [];\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            paths.push(path);\n            perFileBuffers.push(null);\n          });\n          weightSpecs.push(...weightsGroup.weights);\n        });\n\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            const weightFileReader = new FileReader();\n            weightFileReader.onload = (event: Event) => {\n              // tslint:disable-next-line:no-any\n              const weightData = (event.target as any).result as ArrayBuffer;\n              const index = paths.indexOf(path);\n              perFileBuffers[index] = weightData;\n              if (perFileBuffers.indexOf(null) === -1) {\n                resolve({\n                  modelTopology,\n                  weightSpecs,\n                  weightData: concatenateArrayBuffers(perFileBuffers),\n                  format: modelJSON.format,\n                  generatedBy: modelJSON.generatedBy,\n                  convertedBy: modelJSON.convertedBy,\n                  userDefinedMetadata: modelJSON.userDefinedMetadata\n                });\n              }\n            };\n            weightFileReader.onerror = error =>\n                reject(`Failed to weights data from file of path '${path}'.`);\n            weightFileReader.readAsArrayBuffer(pathToFile[path]);\n          });\n        });\n      };\n      jsonReader.onerror = error => reject(\n          `Failed to read model topology and weights manifest JSON ` +\n          `from file '${jsonFile.name}'. BrowserFiles supports loading ` +\n          `Keras-style tf.Model artifacts only.`);\n      jsonReader.readAsText(jsonFile);\n    });\n  }\n\n  /**\n   * Check the compatibility between weights manifest and weight files.\n   */\n  private checkManifestAndWeightFiles(\n      manifest: WeightsManifestConfig, files: File[]): {[path: string]: File} {\n    const basenames: string[] = [];\n    const fileNames = files.map(file => basename(file.name));\n    const pathToFile: {[path: string]: File} = {};\n    for (const group of manifest) {\n      group.paths.forEach(path => {\n        const pathBasename = basename(path);\n        if (basenames.indexOf(pathBasename) !== -1) {\n          throw new Error(\n              `Duplicate file basename found in weights manifest: ` +\n              `'${pathBasename}'`);\n        }\n        basenames.push(pathBasename);\n        if (fileNames.indexOf(pathBasename) === -1) {\n          throw new Error(\n              `Weight file with basename '${pathBasename}' is not provided.`);\n        } else {\n          pathToFile[path] = files[fileNames.indexOf(pathBasename)];\n        }\n      });\n    }\n\n    if (basenames.length !== files.length) {\n      throw new Error(\n          `Mismatch in the number of files in weights manifest ` +\n          `(${basenames.length}) and the number of weight files provided ` +\n          `(${files.length}).`);\n    }\n    return pathToFile;\n  }\n}\n\nexport const browserDownloadsRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserDownloads.URL_SCHEME)) {\n      return browserDownloads(url.slice(BrowserDownloads.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(browserDownloadsRouter);\n\n/**\n * Creates an IOHandler that triggers file downloads from the browser.\n *\n * The returned `IOHandler` instance can be used as model exporting methods such\n * as `tf.Model.save` and supports only saving.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * const saveResult = await model.save('downloads://mymodel');\n * // This will trigger downloading of two files:\n * //   'mymodel.json' and 'mymodel.weights.bin'.\n * console.log(saveResult);\n * ```\n *\n * @param fileNamePrefix Prefix name of the files to be downloaded. For use with\n *   `tf.Model`, `fileNamePrefix` should follow either of the following two\n *   formats:\n *   1. `null` or `undefined`, in which case the default file\n *      names will be used:\n *      - 'model.json' for the JSON file containing the model topology and\n *        weights manifest.\n *      - 'model.weights.bin' for the binary file containing the binary weight\n *        values.\n *   2. A single string or an Array of a single string, as the file name prefix.\n *      For example, if `'foo'` is provided, the downloaded JSON\n *      file and binary weights file will be named 'foo.json' and\n *      'foo.weights.bin', respectively.\n * @param config Additional configuration for triggering downloads.\n * @returns An instance of `BrowserDownloads` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserDownloads(fileNamePrefix = 'model'): IOHandler {\n  return new BrowserDownloads(fileNamePrefix);\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from user-selected files.\n *\n * This method can be used for loading from files such as user-selected files\n * in the browser.\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * // Note: This code snippet won't run properly without the actual file input\n * //   elements in the HTML DOM.\n *\n * // Suppose there are two HTML file input (`<input type=\"file\" ...>`)\n * // elements.\n * const uploadJSONInput = document.getElementById('upload-json');\n * const uploadWeightsInput = document.getElementById('upload-weights');\n * const model = await tf.loadLayersModel(tf.io.browserFiles(\n *     [uploadJSONInput.files[0], uploadWeightsInput.files[0]]));\n * ```\n *\n * @param files `File`s to load from. Currently, this function supports only\n *   loading from files that contain Keras-style models (i.e., `tf.Model`s), for\n *   which an `Array` of `File`s is expected (in that order):\n *   - A JSON file containing the model topology and weight manifest.\n *   - Optionally, One or more binary files containing the binary weights.\n *     These files must have names that match the paths in the `weightsManifest`\n *     contained by the aforementioned JSON file, or errors will be thrown\n *     during loading. These weights files have the same format as the ones\n *     generated by `tensorflowjs_converter` that comes with the `tensorflowjs`\n *     Python PIP package. If no weights files are provided, only the model\n *     topology will be loaded from the JSON file above.\n * @returns An instance of `Files` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserFiles(files: File[]): IOHandler {\n  return new BrowserFiles(files);\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../util';\n\nimport {OnProgressCallback} from './types';\n\n/**\n * Monitor Promise.all progress, fire onProgress callback function.\n *\n * @param promises Promise list going to be monitored\n * @param onProgress Callback function. Fired when a promise resolved.\n * @param startFraction Optional fraction start. Default to 0.\n * @param endFraction Optional fraction end. Default to 1.\n */\nexport function monitorPromisesProgress(\n    promises: Array<Promise<{}|void>>, onProgress: OnProgressCallback,\n    startFraction?: number, endFraction?: number) {\n  checkPromises(promises);\n  startFraction = startFraction == null ? 0 : startFraction;\n  endFraction = endFraction == null ? 1 : endFraction;\n  checkFraction(startFraction, endFraction);\n  let resolvedPromise = 0;\n\n  const registerMonitor = (promise: Promise<{}>) => {\n    promise.then(value => {\n      const fraction = startFraction +\n          ++resolvedPromise / promises.length * (endFraction - startFraction);\n      // pass fraction as parameter to callback function.\n      onProgress(fraction);\n      return value;\n    });\n    return promise;\n  };\n\n  function checkPromises(promises: Array<Promise<{}|void>>): void {\n    assert(\n        promises != null && Array.isArray(promises) && promises.length > 0,\n        () => 'promises must be a none empty array');\n  }\n\n  function checkFraction(startFraction: number, endFraction: number): void {\n    assert(\n        startFraction >= 0 && startFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got startFraction ${startFraction}`);\n    assert(\n        endFraction >= 0 && endFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got endFraction ${endFraction}`);\n    assert(\n        endFraction >= startFraction,\n        () => `startFraction must be no more than endFraction, but ` +\n            `got startFraction ${startFraction} and endFraction ` +\n            `${endFraction}`);\n  }\n\n  return Promise.all(promises.map(registerMonitor));\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {NamedTensorMap} from '../tensor_types';\nimport * as util from '../util';\nimport {decodeWeights} from './io_utils';\nimport {monitorPromisesProgress} from './progress';\nimport {DTYPE_VALUE_SIZE_MAP, LoadOptions, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\n/**\n * Reads binary weights data from a number of URLs.\n *\n * @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.\n * @param requestOptions RequestInit (options) for the HTTP requests.\n * @param fetchFunc Optional overriding value for the `window.fetch` function.\n * @param onProgress Optional, progress callback function, fired periodically\n *   before the load is completed.\n * @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same\n *   length as `fetchURLs`.\n */\nexport async function loadWeightsAsArrayBuffer(\n    fetchURLs: string[], loadOptions?: LoadOptions): Promise<ArrayBuffer[]> {\n  if (loadOptions == null) {\n    loadOptions = {};\n  }\n\n  const fetchFunc = loadOptions.fetchFunc == null ? env().platform.fetch :\n                                                    loadOptions.fetchFunc;\n\n  // Create the requests for all of the weights in parallel.\n  const requests = fetchURLs.map(\n      fetchURL =>\n          fetchFunc(fetchURL, loadOptions.requestInit, {isBinary: true}));\n\n  const fetchStartFraction = 0;\n  const fetchEndFraction = 0.5;\n\n  const responses = loadOptions.onProgress == null ?\n      await Promise.all(requests) :\n      await monitorPromisesProgress(\n          requests, loadOptions.onProgress, fetchStartFraction,\n          fetchEndFraction);\n\n  const bufferPromises = responses.map(response => response.arrayBuffer());\n\n  const bufferStartFraction = 0.5;\n  const bufferEndFraction = 1;\n\n  const buffers = loadOptions.onProgress == null ?\n      await Promise.all(bufferPromises) :\n      await monitorPromisesProgress(\n          bufferPromises, loadOptions.onProgress, bufferStartFraction,\n          bufferEndFraction);\n  return buffers;\n}\n\n/**\n * Reads a weights manifest JSON configuration, fetches the weights and\n * returns them as `Tensor`s.\n *\n * @param manifest The weights manifest JSON.\n * @param filePathPrefix The path prefix for filenames given in the manifest.\n *     Defaults to the empty string.\n * @param weightNames The names of the weights to be fetched.\n */\nexport async function loadWeights(\n    manifest: WeightsManifestConfig, filePathPrefix = '',\n    weightNames?: string[],\n    requestInit?: RequestInit): Promise<NamedTensorMap> {\n  // TODO(nsthorat): Groups are currently fetched atomically. If you need a\n  // single weight from a group, the whole group will be fetched. At a future\n  // date, we should support fetching only the individual shards within a\n  // group that are needed to reconstruct the requested weight.\n  // TODO(cais): Use `decodeWeights` for implementation.\n\n  const fetchWeights = (fetchUrls: string[]) =>\n      loadWeightsAsArrayBuffer(fetchUrls, {requestInit});\n  const loadWeights = weightsLoaderFactory(fetchWeights);\n\n  return loadWeights(manifest, filePathPrefix, weightNames);\n}\n\n/**\n * Creates a function, which reads a weights manifest JSON configuration,\n * fetches the weight files using the specified function and returns them as\n * `Tensor`s.\n *\n * ```js\n * // example for creating a nodejs weight loader, which reads the weight files\n * // from disk using fs.readFileSync\n *\n * import * as fs from 'fs'\n *\n * const fetchWeightsFromDisk = (filePaths: string[]) =>\n *   filePaths.map(filePath => fs.readFileSync(filePath).buffer)\n *\n * const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)\n *\n * const manifest = JSON.parse(\n *   fs.readFileSync('./my_model-weights_manifest').toString()\n * )\n * const weightMap = await loadWeights(manifest, './')\n * ```\n * @param fetchWeightsFunction The function used for fetching the weight files.\n * @returns Weight loading function.\n */\nexport function weightsLoaderFactory(\n    fetchWeightsFunction: (fetchUrls: string[]) => Promise<ArrayBuffer[]>):\n    (manifest: WeightsManifestConfig, filePathPrefix?: string,\n     weightNames?: string[]) => Promise<NamedTensorMap> {\n  return async(\n             manifest: WeightsManifestConfig, filePathPrefix = '',\n             weightNames?: string[]): Promise<NamedTensorMap> => {\n    // Collect all the groups, weights, and their relative offsets to be\n    // fetched.\n    const groupIndicesToFetchMap = manifest.map(() => false);\n    const groupWeightsToFetch: {\n      [group: number]: Array<{\n        manifestEntry: WeightsManifestEntry; groupOffset: number;\n        sizeBytes: number;\n      }>\n    } = {};\n    const weightsFound =\n        weightNames != null ? weightNames.map(() => false) : [];\n    const allManifestWeightNames: string[] = [];\n    manifest.forEach((manifestGroupConfig, groupIndex) => {\n      let groupOffset = 0;\n      manifestGroupConfig.weights.forEach(weightsEntry => {\n        const rawDtype = ('quantization' in weightsEntry) ?\n            weightsEntry.quantization.dtype :\n            weightsEntry.dtype;\n\n        const weightsBytes = DTYPE_VALUE_SIZE_MAP[rawDtype] *\n            util.sizeFromShape(weightsEntry.shape);\n\n        const enqueueWeightsForFetchingFn = () => {\n          groupIndicesToFetchMap[groupIndex] = true;\n          if (groupWeightsToFetch[groupIndex] == null) {\n            groupWeightsToFetch[groupIndex] = [];\n          }\n\n          groupWeightsToFetch[groupIndex].push({\n            manifestEntry: weightsEntry,\n            groupOffset,\n            sizeBytes: weightsBytes\n          });\n        };\n\n        if (weightNames != null) {\n          weightNames.forEach((weightName, weightIndex) => {\n            if (weightName === weightsEntry.name) {\n              enqueueWeightsForFetchingFn();\n              weightsFound[weightIndex] = true;\n            }\n          });\n        } else {\n          enqueueWeightsForFetchingFn();\n        }\n\n        allManifestWeightNames.push(weightsEntry.name);\n        groupOffset += weightsBytes;\n      });\n    });\n\n    if (!weightsFound.every(found => found)) {\n      const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);\n      throw new Error(\n          `Could not find weights in manifest with names: ` +\n          `${weightsNotFound.join(', ')}. \\n` +\n          `Manifest JSON has weights with names: ` +\n          `${allManifestWeightNames.join(', ')}.`);\n    }\n\n    // Convert the one-hot boolean groupId => shouldFetch map to a list of group\n    // IDs.\n    const groupIndicesToFetch =\n        groupIndicesToFetchMap.reduce((accumulator, shouldFetch, i) => {\n          if (shouldFetch) {\n            accumulator.push(i);\n          }\n          return accumulator;\n        }, []);\n\n    const fetchUrls: string[] = [];\n    groupIndicesToFetch.forEach(i => {\n      manifest[i].paths.forEach(filepath => {\n        const fetchUrl = filePathPrefix +\n            (!filePathPrefix.endsWith('/') ? '/' : '') + filepath;\n        fetchUrls.push(fetchUrl);\n      });\n    });\n    const buffers = await fetchWeightsFunction(fetchUrls);\n\n    const weightsTensorMap: NamedTensorMap = {};\n    let bufferIndexOffset = 0;\n    groupIndicesToFetch.forEach(i => {\n      const numBuffers = manifest[i].paths.length;\n\n      let groupBytes = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        groupBytes += buffers[bufferIndexOffset + i].byteLength;\n      }\n\n      // Create a buffer for the whole group.\n      const groupBuffer = new ArrayBuffer(groupBytes);\n      const groupByteBuffer = new Uint8Array(groupBuffer);\n      let groupBufferOffset = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        const buffer = new Uint8Array(buffers[bufferIndexOffset + i]);\n        groupByteBuffer.set(buffer, groupBufferOffset);\n        groupBufferOffset += buffer.byteLength;\n      }\n\n      const weightsEntries = groupWeightsToFetch[i];\n      weightsEntries.forEach(weightsEntry => {\n        const byteBuffer = groupBuffer.slice(\n            weightsEntry.groupOffset,\n            weightsEntry.groupOffset + weightsEntry.sizeBytes);\n        const nameToTensorMap =\n            decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);\n        for (const name in nameToTensorMap) {\n          weightsTensorMap[name] = nameToTensorMap[name];\n        }\n      });\n\n      bufferIndexOffset += numBuffers;\n    });\n\n    return weightsTensorMap;\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandler implementations based on HTTP requests in the web browser.\n *\n * Uses [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, LoadOptions, ModelArtifacts, ModelJSON, OnProgressCallback, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\nimport {loadWeightsAsArrayBuffer} from './weights_loader';\n\nconst OCTET_STREAM_MIME_TYPE = 'application/octet-stream';\nconst JSON_TYPE = 'application/json';\nexport class HTTPRequest implements IOHandler {\n  protected readonly path: string;\n  protected readonly requestInit: RequestInit;\n\n  private readonly fetch: Function;\n\n  readonly DEFAULT_METHOD = 'POST';\n\n  static readonly URL_SCHEME_REGEX = /^https?:\\/\\//;\n\n  private readonly weightPathPrefix: string;\n  private readonly onProgress: OnProgressCallback;\n\n  constructor(path: string, loadOptions?: LoadOptions) {\n    if (loadOptions == null) {\n      loadOptions = {};\n    }\n    this.weightPathPrefix = loadOptions.weightPathPrefix;\n    this.onProgress = loadOptions.onProgress;\n\n    if (loadOptions.fetchFunc != null) {\n      assert(\n          typeof loadOptions.fetchFunc === 'function',\n          () => 'Must pass a function that matches the signature of ' +\n              '`fetch` (see ' +\n              'https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)');\n      this.fetch = loadOptions.fetchFunc;\n    } else {\n      this.fetch = env().platform.fetch;\n    }\n\n    assert(\n        path != null && path.length > 0,\n        () => 'URL path for http must not be null, undefined or ' +\n            'empty.');\n\n    if (Array.isArray(path)) {\n      assert(\n          path.length === 2,\n          () => 'URL paths for http must have a length of 2, ' +\n              `(actual length is ${path.length}).`);\n    }\n    this.path = path;\n\n    if (loadOptions.requestInit != null &&\n        loadOptions.requestInit.body != null) {\n      throw new Error(\n          'requestInit is expected to have no pre-existing body, but has one.');\n    }\n    this.requestInit = loadOptions.requestInit || {};\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserHTTPRequest.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    const init = Object.assign({method: this.DEFAULT_METHOD}, this.requestInit);\n    init.body = new FormData();\n\n    const weightsManifest: WeightsManifestConfig = [{\n      paths: ['./model.weights.bin'],\n      weights: modelArtifacts.weightSpecs,\n    }];\n    const modelTopologyAndWeightManifest: ModelJSON = {\n      modelTopology: modelArtifacts.modelTopology,\n      format: modelArtifacts.format,\n      generatedBy: modelArtifacts.generatedBy,\n      convertedBy: modelArtifacts.convertedBy,\n      userDefinedMetadata: modelArtifacts.userDefinedMetadata,\n      weightsManifest\n    };\n\n    init.body.append(\n        'model.json',\n        new Blob(\n            [JSON.stringify(modelTopologyAndWeightManifest)],\n            {type: JSON_TYPE}),\n        'model.json');\n\n    if (modelArtifacts.weightData != null) {\n      init.body.append(\n          'model.weights.bin',\n          new Blob([modelArtifacts.weightData], {type: OCTET_STREAM_MIME_TYPE}),\n          'model.weights.bin');\n    }\n\n    const response = await this.fetch(this.path, init);\n\n    if (response.ok) {\n      return {\n        modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts),\n        responses: [response],\n      };\n    } else {\n      throw new Error(\n          `BrowserHTTPRequest.save() failed due to HTTP response status ` +\n          `${response.status}.`);\n    }\n  }\n\n  /**\n   * Load model artifacts via HTTP request(s).\n   *\n   * See the documentation to `tf.io.http` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model artifacts (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const modelConfigRequest = await this.fetch(this.path, this.requestInit);\n\n    if (!modelConfigRequest.ok) {\n      throw new Error(\n          `Request to ${this.path} failed with status code ` +\n          `${modelConfigRequest.status}. Please verify this URL points to ` +\n          `the model JSON of the model to load.`);\n    }\n    let modelConfig: ModelJSON;\n    try {\n      modelConfig = await modelConfigRequest.json();\n    } catch (e) {\n      let message = `Failed to parse model JSON of response from ${this.path}.`;\n      // TODO(nsthorat): Remove this after some time when we're comfortable that\n      // .pb files are mostly gone.\n      if (this.path.endsWith('.pb')) {\n        message += ' Your path contains a .pb file extension. ' +\n            'Support for .pb models have been removed in TensorFlow.js 1.0 ' +\n            'in favor of .json models. You can re-convert your Python ' +\n            'TensorFlow model using the TensorFlow.js 1.0 conversion scripts ' +\n            'or you can convert your.pb models with the \\'pb2json\\'' +\n            'NPM script in the tensorflow/tfjs-converter repository.';\n      } else {\n        message += ' Please make sure the server is serving valid ' +\n            'JSON for this request.';\n      }\n      throw new Error(message);\n    }\n    const modelTopology = modelConfig.modelTopology;\n    const weightsManifest = modelConfig.weightsManifest;\n    const generatedBy = modelConfig.generatedBy;\n    const convertedBy = modelConfig.convertedBy;\n    const format = modelConfig.format;\n    const userDefinedMetadata = modelConfig.userDefinedMetadata;\n\n    // We do not allow both modelTopology and weightsManifest to be missing.\n    if (modelTopology == null && weightsManifest == null) {\n      throw new Error(\n          `The JSON from HTTP path ${this.path} contains neither model ` +\n          `topology or manifest for weights.`);\n    }\n\n    let weightSpecs: WeightsManifestEntry[];\n    let weightData: ArrayBuffer;\n    if (weightsManifest != null) {\n      const results = await this.loadWeights(weightsManifest);\n      [weightSpecs, weightData] = results;\n    }\n\n    return {\n      modelTopology,\n      weightSpecs,\n      weightData,\n      userDefinedMetadata,\n      generatedBy,\n      convertedBy,\n      format\n    };\n  }\n\n  private async loadWeights(weightsManifest: WeightsManifestConfig):\n      Promise<[WeightsManifestEntry[], ArrayBuffer]> {\n    const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;\n    const [prefix, suffix] = parseUrl(weightPath);\n    const pathPrefix = this.weightPathPrefix || prefix;\n\n    const weightSpecs = [];\n    for (const entry of weightsManifest) {\n      weightSpecs.push(...entry.weights);\n    }\n\n    const fetchURLs: string[] = [];\n    weightsManifest.forEach(weightsGroup => {\n      weightsGroup.paths.forEach(path => {\n        fetchURLs.push(pathPrefix + path + suffix);\n      });\n    });\n    const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {\n      requestInit: this.requestInit,\n      fetchFunc: this.fetch,\n      onProgress: this.onProgress\n    });\n    return [weightSpecs, concatenateArrayBuffers(buffers)];\n  }\n}\n\n/**\n * Extract the prefix and suffix of the url, where the prefix is the path before\n * the last file, and suffix is the search params after the last file.\n * ```\n * const url = 'http://tfhub.dev/model/1/tensorflowjs_model.pb?tfjs-format=file'\n * [prefix, suffix] = parseUrl(url)\n * // prefix = 'http://tfhub.dev/model/1/'\n * // suffix = '?tfjs-format=file'\n * ```\n * @param url the model url to be parsed.\n */\nexport function parseUrl(url: string): [string, string] {\n  const lastSlash = url.lastIndexOf('/');\n  const lastSearchParam = url.lastIndexOf('?');\n  const prefix = url.substring(0, lastSlash);\n  const suffix =\n      lastSearchParam > lastSlash ? url.substring(lastSearchParam) : '';\n  return [prefix + '/', suffix];\n}\n\nexport function isHTTPScheme(url: string): boolean {\n  return url.match(HTTPRequest.URL_SCHEME_REGEX) != null;\n}\n\nexport const httpRouter: IORouter =\n    (url: string, onProgress?: OnProgressCallback) => {\n      if (typeof fetch === 'undefined') {\n        // `http` uses `fetch` or `node-fetch`, if one wants to use it in\n        // an environment that is not the browser or node they have to setup a\n        // global fetch polyfill.\n        return null;\n      } else {\n        let isHTTP = true;\n        if (Array.isArray(url)) {\n          isHTTP = url.every(urlItem => isHTTPScheme(urlItem));\n        } else {\n          isHTTP = isHTTPScheme(url);\n        }\n        if (isHTTP) {\n          return http(url, {onProgress});\n        }\n      }\n      return null;\n    };\nIORouterRegistry.registerSaveRouter(httpRouter);\nIORouterRegistry.registerLoadRouter(httpRouter);\n\n/**\n * Creates an IOHandler subtype that sends model artifacts to HTTP server.\n *\n * An HTTP request of the `multipart/form-data` mime type will be sent to the\n * `path` URL. The form data includes artifacts that represent the topology\n * and/or weights of the model. In the case of Keras-style `tf.Model`, two\n * blobs (files) exist in form-data:\n *   - A JSON file consisting of `modelTopology` and `weightsManifest`.\n *   - A binary weights file consisting of the concatenated weight values.\n * These files are in the same format as the one generated by\n * [tfjs_converter](https://js.tensorflow.org/tutorials/import-keras.html).\n *\n * The following code snippet exemplifies the client-side code that uses this\n * function:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save(tf.io.http(\n *     'http://model-server:5000/upload', {requestInit: {method: 'PUT'}}));\n * console.log(saveResult);\n * ```\n *\n * If the default `POST` method is to be used, without any custom parameters\n * such as headers, you can simply pass an HTTP or HTTPS URL to `model.save`:\n *\n * ```js\n * const saveResult = await model.save('http://model-server:5000/upload');\n * ```\n *\n * The following GitHub Gist\n * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864\n * implements a server based on [flask](https://github.com/pallets/flask) that\n * can receive the request. Upon receiving the model artifacts via the requst,\n * this particular server reconsistutes instances of [Keras\n * Models](https://keras.io/models/model/) in memory.\n *\n *\n * @param path A URL path to the model.\n *   Can be an absolute HTTP path (e.g.,\n *   'http://localhost:8000/model-upload)') or a relative path (e.g.,\n *   './model-upload').\n * @param requestInit Request configurations to be used when sending\n *    HTTP request to server using `fetch`. It can contain fields such as\n *    `method`, `credentials`, `headers`, `mode`, etc. See\n *    https://developer.mozilla.org/en-US/docs/Web/API/Request/Request\n *    for more information. `requestInit` must not have a body, because the\n * body will be set by TensorFlow.js. File blobs representing the model\n * topology (filename: 'model.json') and the weights of the model (filename:\n * 'model.weights.bin') will be appended to the body. If `requestInit` has a\n * `body`, an Error will be thrown.\n * @param loadOptions Optional configuration for the loading. It includes the\n *   following fields:\n *   - weightPathPrefix Optional, this specifies the path prefix for weight\n *     files, by default this is calculated from the path param.\n *   - fetchFunc Optional, custom `fetch` function. E.g., in Node.js,\n *     the `fetch` from node-fetch can be used here.\n *   - onProgress Optional, progress callback function, fired periodically\n *     before the load is completed.\n * @returns An instance of `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function http(path: string, loadOptions?: LoadOptions): IOHandler {\n  return new HTTPRequest(path, loadOptions);\n}\n\n/**\n * Deprecated. Use `tf.io.http`.\n * @param path\n * @param loadOptions\n */\nexport function browserHTTPRequest(\n    path: string, loadOptions?: LoadOptions): IOHandler {\n  return http(path, loadOptions);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers that pass through the in-memory ModelArtifacts format.\n */\n\nimport {IOHandler, ModelArtifacts, SaveResult, TrainingConfig, WeightsManifestEntry} from './types';\n\nclass PassthroughLoader implements IOHandler {\n  constructor(private readonly modelArtifacts?: ModelArtifacts) {}\n\n  async load(): Promise<ModelArtifacts> {\n    return this.modelArtifacts;\n  }\n}\n\nclass PassthroughSaver implements IOHandler {\n  constructor(\n      private readonly saveHandler:\n          (artifacts: ModelArtifacts) => Promise<SaveResult>) {}\n\n  async save(modelArtifacts: ModelArtifacts) {\n    return this.saveHandler(modelArtifacts);\n  }\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from memory.\n *\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * const model = await tf.loadLayersModel(tf.io.fromMemory(\n *     modelTopology, weightSpecs, weightData));\n * ```\n *\n * @param modelArtifacts a object containing model topology (i.e., parsed from\n *   the JSON format).\n * @param weightSpecs An array of `WeightsManifestEntry` objects describing the\n *   names, shapes, types, and quantization of the weight data.\n * @param weightData A single `ArrayBuffer` containing the weight data,\n *   concatenated in the order described by the weightSpecs.\n * @param trainingConfig Model training configuration. Optional.\n *\n * @returns A passthrough `IOHandler` that simply loads the provided data.\n */\nexport function fromMemory(\n    modelArtifacts: {}|ModelArtifacts, weightSpecs?: WeightsManifestEntry[],\n    weightData?: ArrayBuffer, trainingConfig?: TrainingConfig): IOHandler {\n  if (arguments.length === 1) {\n    const isModelArtifacts =\n        (modelArtifacts as ModelArtifacts).modelTopology != null ||\n        (modelArtifacts as ModelArtifacts).weightSpecs != null;\n    if (isModelArtifacts) {\n      return new PassthroughLoader(modelArtifacts as ModelArtifacts);\n    } else {\n      // Legacy support: with only modelTopology.\n      // TODO(cais): Remove this deprecated API.\n      console.warn(\n          'Please call tf.io.fromMemory() with only one argument. ' +\n          'The argument should be of type ModelArtifacts. ' +\n          'The multi-argument signature of tf.io.fromMemory() has been ' +\n          'deprecated and will be removed in a future release.');\n      return new PassthroughLoader({modelTopology: modelArtifacts as {}});\n    }\n  } else {\n    // Legacy support.\n    // TODO(cais): Remove this deprecated API.\n    console.warn(\n        'Please call tf.io.fromMemory() with only one argument. ' +\n        'The argument should be of type ModelArtifacts. ' +\n        'The multi-argument signature of tf.io.fromMemory() has been ' +\n        'deprecated and will be removed in a future release.');\n    return new PassthroughLoader({\n      modelTopology: modelArtifacts as {},\n      weightSpecs,\n      weightData,\n      trainingConfig\n    });\n  }\n}\n\n/**\n * Creates an IOHandler that passes saved model artifacts to a callback.\n *\n * ```js\n * function handleSave(artifacts) {\n *   // ... do something with the artifacts ...\n *   return {modelArtifactsInfo: {...}, ...};\n * }\n *\n * const saveResult = model.save(tf.io.withSaveHandler(handleSave));\n * ```\n *\n * @param saveHandler A function that accepts a `ModelArtifacts` and returns a\n *     `SaveResult`.\n */\nexport function withSaveHandler(\n    saveHandler: (artifacts: ModelArtifacts) =>\n        Promise<SaveResult>): IOHandler {\n  return new PassthroughSaver(saveHandler);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {oneHot} from './one_hot';\nimport {op} from './operation';\n\n/**\n * Computes the confusion matrix from true labels and predicted labels.\n *\n * ```js\n * const labels = tf.tensor1d([0, 1, 2, 1, 0], 'int32');\n * const predictions = tf.tensor1d([0, 2, 2, 1, 0], 'int32');\n * const numClasses = 3;\n * const out = tf.math.confusionMatrix(labels, predictions, numClasses);\n * out.print();\n * // Expected output matrix:\n * // [[2, 0, 0],\n * //  [0, 1, 1],\n * //  [0, 0, 1]]\n * ```\n *\n * @param labels The target labels, assumed to be 0-based integers\n *   for the classes. The shape is `[numExamples]`, where\n *   `numExamples` is the number of examples included.\n * @param predictions The predicted classes, assumed to be\n *   0-based integers for the classes. Must have the same shape as `labels`.\n * @param numClasses Number of all classes, as an integer.\n *   Its value must be larger than the largest element in `labels` and\n *   `predictions`.\n * @returns The confusion matrix as a int32-type 2D tensor. The value at\n *   row `r` and column `c` is the number of times examples of actual class\n *   `r` were predicted as class `c`.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nexport function confusionMatrix_(\n    labels: Tensor1D|TensorLike, predictions: Tensor1D|TensorLike,\n    numClasses: number): Tensor2D {\n  const $labels = convertToTensor(labels, 'labels', 'confusionMatrix');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'confusionMatrix');\n\n  util.assert(\n      numClasses == null || numClasses > 0 && Number.isInteger(numClasses),\n      () => `If provided, numClasses must be a positive integer, ` +\n          `but got ${numClasses}`);\n  util.assert(\n      $labels.rank === 1,\n      () => `Expected the rank of labels to be 1, but got ${$labels.rank}`);\n  util.assert(\n      $predictions.rank === 1,\n      () => `Expected the rank of predictions to be 1, ` +\n          `but got ${$predictions.rank}`);\n  util.assert(\n      $labels.shape[0] === $predictions.shape[0],\n      () => `Mismatch in the number of examples: ` +\n          `${$labels.shape[0]} vs. ${$predictions.shape[0]}. ` +\n          `Labels and predictions should have the same number of elements.`);\n  util.assert(\n      numClasses > 0 && Number.isInteger(numClasses),\n      () => `numClasses is required to be a positive integer, but got ` +\n          `${numClasses}`);\n  // TODO(cais): In the future, if oneHot supports tensors inputs for\n  //   `numClasses`, `confusionMatrix` can make `numClasses` optional.\n\n  const oneHotLabels = oneHot($labels.asType('int32'), numClasses) as Tensor2D;\n  const oneHotPredictions =\n      oneHot($predictions.asType('int32'), numClasses) as Tensor2D;\n  const oneHotLabelsT: Tensor2D = oneHotLabels.transpose();\n  return oneHotLabelsT.matMul(oneHotPredictions).asType('int32');\n}\n\nexport const confusionMatrix = op({confusionMatrix_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {getKernel} from '../kernel_registry';\nimport {Tensor, Tensor2D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {PixelData, TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {tensor3d} from './tensor_ops';\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\n/**\n * Creates a `tf.Tensor` from an image.\n *\n * ```js\n * const image = new ImageData(1, 1);\n * image.data[0] = 100;\n * image.data[1] = 150;\n * image.data[2] = 200;\n * image.data[3] = 255;\n *\n * tf.browser.fromPixels(image).print();\n * ```\n *\n * @param pixels The input image to construct the tensor from. The\n * supported image types are all 4-channel. You can also pass in an image\n * object with following attributes:\n * `{data: Uint8Array; width: number; height: number}`\n * @param numChannels The number of channels of the output tensor. A\n * numChannels value less than 4 allows you to ignore channels. Defaults to\n * 3 (ignores alpha channel of input image).\n */\n/** @doc {heading: 'Browser', namespace: 'browser', ignoreCI: true} */\nfunction fromPixels_(\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement,\n    numChannels = 3): Tensor3D {\n  // Sanity checks.\n  if (numChannels > 4) {\n    throw new Error(\n        'Cannot construct Tensor with more than 4 channels from pixels.');\n  }\n  if (pixels == null) {\n    throw new Error('pixels passed to tf.browser.fromPixels() can not be null');\n  }\n  let isPixelData = false;\n  let isImageData = false;\n  let isVideo = false;\n  let isImage = false;\n  let isCanvasLike = false;\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    isPixelData = true;\n  } else if (\n      typeof (ImageData) !== 'undefined' && pixels instanceof ImageData) {\n    isImageData = true;\n  } else if (\n      typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement) {\n    isVideo = true;\n  } else if (\n      typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement) {\n    isImage = true;\n    // tslint:disable-next-line: no-any\n  } else if ((pixels as any).getContext != null) {\n    isCanvasLike = true;\n  } else {\n    throw new Error(\n        'pixels passed to tf.browser.fromPixels() must be either an ' +\n        `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +\n        `in browser, or OffscreenCanvas, ImageData in webworker` +\n        ` or {data: Uint32Array, width: number, height: number}, ` +\n        `but was ${(pixels as {}).constructor.name}`);\n  }\n  if (isVideo) {\n    const HAVE_CURRENT_DATA_READY_STATE = 2;\n    if (isVideo &&\n        (pixels as HTMLVideoElement).readyState <\n            HAVE_CURRENT_DATA_READY_STATE) {\n      throw new Error(\n          'The video element has not loaded data yet. Please wait for ' +\n          '`loadeddata` event on the <video> element.');\n    }\n  }\n  // If the current backend has 'FromPixels' registered, it has a more\n  // efficient way of handling pixel uploads, so we call that.\n  const kernel = getKernel('FromPixels', ENGINE.backendName);\n  if (kernel != null) {\n    return ENGINE.runKernel('FromPixels', {pixels} as {}, {numChannels}) as\n        Tensor3D;\n  }\n\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n  let vals: Uint8ClampedArray|Uint8Array;\n\n  if (isCanvasLike) {\n    vals =\n        // tslint:disable-next-line:no-any\n        (pixels as any).getContext('2d').getImageData(0, 0, width, height).data;\n  } else if (isImageData || isPixelData) {\n    vals = (pixels as PixelData | ImageData).data;\n  } else if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement, 0, 0, width, height);\n    vals = fromPixels2DContext.getImageData(0, 0, width, height).data;\n  }\n  let values: Int32Array;\n  if (numChannels === 4) {\n    values = new Int32Array(vals);\n  } else {\n    const numPixels = width * height;\n    values = new Int32Array(numPixels * numChannels);\n    for (let i = 0; i < numPixels; i++) {\n      for (let channel = 0; channel < numChannels; ++channel) {\n        values[i * numChannels + channel] = vals[i * 4 + channel];\n      }\n    }\n  }\n  const outShape: [number, number, number] = [height, width, numChannels];\n  return tensor3d(values, outShape, 'int32');\n}\n\n/**\n * Draws a `tf.Tensor` of pixel values to a byte array or optionally a\n * canvas.\n *\n * When the dtype of the input is 'float32', we assume values in the range\n * [0-1]. Otherwise, when input is 'int32', we assume values in the range\n * [0-255].\n *\n * Returns a promise that resolves when the canvas has been drawn to.\n *\n * @param img A rank-2 or rank-3 tensor. If rank-2, draws grayscale. If\n *     rank-3, must have depth of 1, 3 or 4. When depth of 1, draws\n * grayscale. When depth of 3, we draw with the first three components of\n * the depth dimension corresponding to r, g, b and alpha = 1. When depth of\n * 4, all four components of the depth dimension correspond to r, g, b, a.\n * @param canvas The canvas to draw to.\n */\n/** @doc {heading: 'Browser', namespace: 'browser'} */\nexport async function toPixels(\n    img: Tensor2D|Tensor3D|TensorLike,\n    canvas?: HTMLCanvasElement): Promise<Uint8ClampedArray> {\n  let $img = convertToTensor(img, 'img', 'toPixels');\n  if (!(img instanceof Tensor)) {\n    // Assume int32 if user passed a native array.\n    $img = $img.toInt();\n  }\n  if ($img.rank !== 2 && $img.rank !== 3) {\n    throw new Error(\n        `toPixels only supports rank 2 or 3 tensors, got rank ${$img.rank}.`);\n  }\n  const [height, width] = $img.shape.slice(0, 2);\n  const depth = $img.rank === 2 ? 1 : $img.shape[2];\n\n  if (depth > 4 || depth === 2) {\n    throw new Error(\n        `toPixels only supports depth of size ` +\n        `1, 3 or 4 but got ${depth}`);\n  }\n\n  const data = await $img.data();\n  const minTensor = $img.min();\n  const maxTensor = $img.max();\n  const vals = await Promise.all([minTensor.data(), maxTensor.data()]);\n  const minVals = vals[0];\n  const maxVals = vals[1];\n  const min = minVals[0];\n  const max = maxVals[0];\n  minTensor.dispose();\n  maxTensor.dispose();\n  if ($img.dtype === 'float32') {\n    if (min < 0 || max > 1) {\n      throw new Error(\n          `Tensor values for a float32 Tensor must be in the ` +\n          `range [0 - 1] but got range [${min} - ${max}].`);\n    }\n  } else if ($img.dtype === 'int32') {\n    if (min < 0 || max > 255) {\n      throw new Error(\n          `Tensor values for a int32 Tensor must be in the ` +\n          `range [0 - 255] but got range [${min} - ${max}].`);\n    }\n  } else {\n    throw new Error(\n        `Unsupported type for toPixels: ${$img.dtype}.` +\n        ` Please use float32 or int32 tensors.`);\n  }\n  const multiplier = $img.dtype === 'float32' ? 255 : 1;\n  const bytes = new Uint8ClampedArray(width * height * 4);\n\n  for (let i = 0; i < height * width; ++i) {\n    let r, g, b, a;\n    if (depth === 1) {\n      r = data[i] * multiplier;\n      g = data[i] * multiplier;\n      b = data[i] * multiplier;\n      a = 255;\n    } else if (depth === 3) {\n      r = data[i * 3] * multiplier;\n      g = data[i * 3 + 1] * multiplier;\n      b = data[i * 3 + 2] * multiplier;\n      a = 255;\n    } else if (depth === 4) {\n      r = data[i * 4] * multiplier;\n      g = data[i * 4 + 1] * multiplier;\n      b = data[i * 4 + 2] * multiplier;\n      a = data[i * 4 + 3] * multiplier;\n    }\n\n    const j = i * 4;\n    bytes[j + 0] = Math.round(r);\n    bytes[j + 1] = Math.round(g);\n    bytes[j + 2] = Math.round(b);\n    bytes[j + 3] = Math.round(a);\n  }\n\n  if (canvas != null) {\n    canvas.width = width;\n    canvas.height = height;\n    const ctx = canvas.getContext('2d');\n    const imageData = new ImageData(bytes, width, height);\n    ctx.putImageData(imageData, 0, 0);\n  }\n  if ($img !== img) {\n    $img.dispose();\n  }\n  return bytes;\n}\n\nexport const fromPixels = op({fromPixels_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from './util';\n\n/**\n * Types to support JSON-esque data structures internally.\n *\n * Internally ConfigDict's use camelCase keys and values where the\n * values are class names to be instantiated.  On the python side, these\n * will be snake_case.  Internally we allow Enums into the values for better\n * type safety, but these need to be converted to raw primitives (usually\n * strings) for round-tripping with python.\n *\n * toConfig returns the TS-friendly representation. model.toJSON() returns\n * the pythonic version as that's the portable format.  If you need to\n * python-ify a non-model level toConfig output, you'll need to use a\n * convertTsToPythonic from serialization_utils in -Layers.\n *\n */\nexport declare type ConfigDictValue =\n    boolean | number | string | null | ConfigDictArray | ConfigDict;\nexport declare interface ConfigDict {\n  [key: string]: ConfigDictValue;\n}\nexport declare interface ConfigDictArray extends Array<ConfigDictValue> {}\n\n/**\n * Type to represent the class-type of Serializable objects.\n *\n * Ie the class prototype with access to the constructor and any\n * static members/methods. Instance methods are not listed here.\n *\n * Source for this idea: https://stackoverflow.com/a/43607255\n */\nexport declare type SerializableConstructor<T extends Serializable> = {\n  // tslint:disable-next-line:no-any\n  new (...args: any[]): T; className: string; fromConfig: FromConfigMethod<T>;\n};\nexport declare type FromConfigMethod<T extends Serializable> =\n    (cls: SerializableConstructor<T>, config: ConfigDict) => T;\n\n/**\n * Serializable defines the serialization contract.\n *\n * TFJS requires serializable classes to return their className when asked\n * to avoid issues with minification.\n */\nexport abstract class Serializable {\n  /**\n   * Return the class name for this class to use in serialization contexts.\n   *\n   * Generally speaking this will be the same thing that constructor.name\n   * would have returned.  However, the class name needs to be robust\n   * against minification for serialization/deserialization to work properly.\n   *\n   * There's also places such as initializers.VarianceScaling, where\n   * implementation details between different languages led to different\n   * class hierarchies and a non-leaf node is used for serialization purposes.\n   */\n  getClassName(): string {\n    return (this.constructor as SerializableConstructor<Serializable>)\n        .className;\n  }\n\n  /**\n   * Return all the non-weight state needed to serialize this object.\n   */\n  abstract getConfig(): ConfigDict;\n\n  /**\n   * Creates an instance of T from a ConfigDict.\n   *\n   * This works for most descendants of serializable.  A few need to\n   * provide special handling.\n   * @param cls A Constructor for the class to instantiate.\n   * @param config The Configuration for the object.\n   */\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config);\n  }\n}\n\n/**\n * Maps string keys to class constructors.\n *\n * Used during (de)serialization from the cross-language JSON format, which\n * requires the class name in the serialization format matches the class\n * names as used in Python, should it exist.\n */\nexport class SerializationMap {\n  private static instance: SerializationMap;\n  classNameMap: {\n    [className: string]:\n        [SerializableConstructor<Serializable>, FromConfigMethod<Serializable>]\n  };\n\n  private constructor() {\n    this.classNameMap = {};\n  }\n\n  /**\n   * Returns the singleton instance of the map.\n   */\n  static getMap(): SerializationMap {\n    if (SerializationMap.instance == null) {\n      SerializationMap.instance = new SerializationMap();\n    }\n    return SerializationMap.instance;\n  }\n\n  /**\n   * Registers the class as serializable.\n   */\n  static register<T extends Serializable>(cls: SerializableConstructor<T>) {\n    SerializationMap.getMap().classNameMap[cls.className] =\n        [cls, cls.fromConfig];\n  }\n}\n\n/**\n * Register a class with the serialization map of TensorFlow.js.\n *\n * This is often used for registering custom Layers, so they can be\n * serialized and deserialized.\n *\n * Example:\n *\n * ```js\n * class MyCustomLayer extends tf.layers.Layer {\n *   static className = 'MyCustomLayer';\n *\n *   constructor(config) {\n *     super(config);\n *   }\n * }\n * tf.serialization.registerClass(MyCustomLayer);\n * ```\n *\n * @param cls The class to be registered. It must have a public static member\n *   called `className` defined and the value must be a non-empty string.\n */\n/** @doc {heading: 'Models', subheading: 'Serialization', ignoreCI: true} */\nexport function registerClass<T extends Serializable>(\n    cls: SerializableConstructor<T>) {\n  assert(\n      cls.className != null,\n      () => `Class being registered does not have the static className ` +\n          `property defined.`);\n  assert(\n      typeof cls.className === 'string',\n      () => `className is required to be a string, but got type ` +\n          typeof cls.className);\n  assert(\n      cls.className.length > 0,\n      () => `Class being registered has an empty-string as its className, ` +\n          `which is disallowed.`);\n\n  SerializationMap.register(cls);\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as gpgpu_util from './backends/webgl/gpgpu_util';\nimport * as webgl_util from './backends/webgl/webgl_util';\nimport {env} from './environment';\n\nexport {MathBackendWebGL, WebGLMemoryInfo, WebGLTimingInfo} from './backends/webgl/backend_webgl';\nexport {setWebGLContext} from './backends/webgl/canvas_util';\nexport {GPGPUContext} from './backends/webgl/gpgpu_context';\nexport {GPGPUProgram} from './backends/webgl/gpgpu_math';\n// WebGL specific utils.\nexport {gpgpu_util, webgl_util};\n\n/**\n * Enforce use of half precision textures if available on the platform.\n */\n/** @doc {heading: 'Environment', namespace: 'webgl'} */\nexport function forceHalfFloat(): void {\n  env().set('WEBGL_FORCE_F16_TEXTURES', true);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {dispose} from '../globals';\nimport {variableGrads} from '../gradients';\nimport {scalar} from '../ops/ops';\nimport {Serializable} from '../serialization';\nimport {Scalar, Variable} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\n/**\n * A variable that belongs to an optimizer.\n *\n * The `originalName` field is required for keeping track of the canonical\n * name of the variable, which is usually the name of the model weight that\n * the variable is related to plus a suffix, e.g., 'dense1/kernel/momentum'.\n * The name of the `Variable` object itself cannot be used directly due to\n * possible deduplication: Every `Variable` must have a unique name but more\n * than one optimizer objects of the same type may be created for the same model\n * or the same `Variable`.\n */\nexport interface OptimizerVariable {\n  originalName: string;\n  variable: Variable;\n}\n\n/** @doc {heading: 'Training', subheading: 'Classes', namespace: 'train'} */\nexport abstract class Optimizer extends Serializable {\n  protected iterations_: number;\n\n  /**\n   * Executes `f()` and minimizes the scalar output of `f()` by computing\n   * gradients of y with respect to the list of trainable variables provided by\n   * `varList`. If no list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to minimize.\n   * @param returnCost Whether to return the scalar cost value produced by\n   * executing `f()`.\n   * @param varList An optional list of variables to update. If specified, only\n   * the trainable variables in varList will be updated by minimize. Defaults to\n   * all trainable variables.\n   */\n  /** @doc {heading: 'Training', subheading: 'Optimizers'} */\n  minimize(f: () => Scalar, returnCost = false, varList?: Variable[]): Scalar\n      |null {\n    const {value, grads} = this.computeGradients(f, varList);\n\n    if (varList != null) {\n      const gradArray: NamedTensor[] =\n          varList.map(v => ({name: v.name, tensor: grads[v.name]}));\n      this.applyGradients(gradArray);\n    } else {\n      this.applyGradients(grads);\n    }\n\n    // Dispose gradients.\n    dispose(grads);\n\n    if (returnCost) {\n      return value;\n    } else {\n      value.dispose();\n      return null;\n    }\n  }\n\n  /**\n   * The number of iterations that this optimizer instance has been invoked for.\n   */\n  get iterations(): number {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return this.iterations_;\n  }\n\n  protected incrementIterations() {\n    this.iterations_ = this.iterations + 1;\n  }\n\n  /**\n   * Executes f() and computes the gradient of the scalar output of f() with\n   * respect to the list of trainable variables provided by `varList`. If no\n   * list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to use for computing\n   * gradients with respect to variables.\n   * @param varList An optional list of variables to compute gradients with\n   * respect to. If specified, only the trainable variables in varList will have\n   * gradients computed with respect to. Defaults to all trainable variables.\n   */\n  computeGradients(f: () => Scalar, varList?: Variable[]):\n      {value: Scalar, grads: NamedTensorMap} {\n    return variableGrads(f, varList);\n  }\n\n  /**\n   * Updates variables by using the computed gradients.\n   *\n   * @param variableGradients A mapping of variable name to its gradient value.\n   */\n  abstract applyGradients(variableGradients: NamedTensorMap|\n                          NamedTensor[]): void;\n\n  /**\n   * Dispose the variables (if any) owned by this optimizer instance.\n   */\n  dispose(): void {\n    if (this.iterations_ != null) {\n      dispose(this.iterations_);\n    }\n  }\n\n  async saveIterations(): Promise<NamedTensor> {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return {\n      name: 'iter',  // Named for Python compatibility.\n      // TODO(cais): Use 'int64' type when available.\n      tensor: scalar(this.iterations_, 'int32')\n    };\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for this optimizer yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error(\n        `setWeights() is not implemented for this optimizer class ` +\n        `${this.getClassName()}`);\n  }\n\n  /**\n   * Extract the first element of the weight values and set it\n   * as the iterations counter variable of this instance of optimizer.\n   *\n   * @param weightValues\n   * @returns Weight values with the first element consumed and excluded.\n   */\n  protected async extractIterations(weightValues: NamedTensor[]):\n      Promise<NamedTensor[]> {\n    this.iterations_ = (await weightValues[0].tensor.data())[0];\n    return weightValues.slice(1);\n  }\n}\n\nObject.defineProperty(Optimizer, Symbol.hasInstance, {\n  value: (instance: Optimizer) => {\n    return instance.minimize != null && instance.computeGradients != null &&\n        instance.applyGradients != null;\n  }\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdadeltaOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adadelta';  // Name matters for Python compatibility.\n  private accumulatedGrads: OptimizerVariable[] = [];\n  private accumulatedUpdates: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected rho: number,\n      protected epsilon: number = null) {\n    super();\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedGrads[i] == null) {\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accum_grad`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedUpdates[i] == null) {\n        this.accumulatedUpdates[i] = {\n          originalName: `${name}/accum_var`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n      const accumulatedUpdate = this.accumulatedUpdates[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.mul(this.rho).add(\n            gradient.square().mul(1 - this.rho));\n\n        const updates = accumulatedUpdate.add(this.epsilon)\n                            .sqrt()\n                            .div(accumulatedGrad.add(this.epsilon).sqrt())\n                            .mul(gradient);\n\n        const newAccumulatedUpdate = accumulatedUpdate.mul(this.rho).add(\n            updates.square().mul(1 - this.rho));\n\n        accumulatedGrad.assign(newAccumulatedGrad);\n        accumulatedUpdate.assign(newAccumulatedUpdate);\n\n        const newValue = updates.mul(-this.learningRate).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedUpdates != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n      dispose(this.accumulatedUpdates.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedGrads, ...this.accumulatedUpdates];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedGrads =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedUpdates =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'rho': this.rho,\n      'epsilon': this.epsilon\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['rho'], config['epsilon']);\n  }\n}\nregisterClass(AdadeltaOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {fill} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdagradOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adagrad';  // Note: Name matters for Python compatibility.\n\n  private accumulatedGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private initialAccumulatorValue = 0.1) {\n    super();\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulatedGrads[i] == null) {\n        const trainable = false;\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accumulator`,\n          variable: tidy(\n              () => fill(value.shape, this.initialAccumulatorValue)\n                        .variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.add(gradient.square());\n        accumulatedGrad.assign(newAccumulatedGrad);\n\n        const newValue =\n            gradient\n                .div(newAccumulatedGrad.add(ENGINE.backend.epsilon()).sqrt())\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedGrads != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulatedGrads.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulatedGrads = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'initialAccumulatorValue': this.initialAccumulatorValue,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['initialAccumulatorValue']);\n  }\n}\nregisterClass(AdagradOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {pow, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adam';  // Note: Name matters for Python compatibility.\n  private accBeta1: Variable;\n  private accBeta2: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedSecondMoment: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null) {\n    super();\n    tidy(() => {\n      // accB* will be updated by batch.\n      this.accBeta1 = scalar(beta1).variable();\n      this.accBeta2 = scalar(beta2).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const oneMinusAccBeta2 = sub(1, this.accBeta2);\n\n      varNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n        if (this.accumulatedSecondMoment[i] == null) {\n          this.accumulatedSecondMoment[i] = {\n            originalName: `${name}/v`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const secondMoment = this.accumulatedSecondMoment[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n        const newSecondMoment = secondMoment.mul(this.beta2)\n                                    .add(gradient.square().mul(1 - this.beta2));\n\n        const biasCorrectedFirstMoment = newFirstMoment.div(oneMinusAccBeta1);\n        const biasCorrectedSecondMoment = newSecondMoment.div(oneMinusAccBeta2);\n\n        firstMoment.assign(newFirstMoment);\n        secondMoment.assign(newSecondMoment);\n\n        const newValue =\n            biasCorrectedFirstMoment\n                .div(biasCorrectedSecondMoment.sqrt().add(this.epsilon))\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n      this.accBeta2.assign(this.accBeta2.mul(this.beta2));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.accBeta2.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedSecondMoment != null) {\n      dispose(this.accumulatedSecondMoment.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedFirstMoment, ...this.accumulatedSecondMoment];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    tidy(() => {\n      this.accBeta1.assign(pow(this.beta1, this.iterations_ + 1));\n      this.accBeta2.assign(pow(this.beta2, this.iterations_ + 1));\n    });\n\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedFirstMoment =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedSecondMoment =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon']);\n  }\n}\nregisterClass(AdamOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {div, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamaxOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adamax';  // Note: Name matters for Python compatbility.\n  private accBeta1: Variable;\n  private iteration: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedWeightedInfNorm: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null,\n      protected decay = 0.0) {\n    super();\n\n    tidy(() => {\n      this.iteration = scalar(0).variable();\n      this.accBeta1 = scalar(beta1).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const lr = div(-this.learningRate, this.iteration.mul(this.decay).add(1));\n\n      variableNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n        if (this.accumulatedWeightedInfNorm[i] == null) {\n          this.accumulatedWeightedInfNorm[i] = {\n            originalName: `${name}/v`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const weightedInfNorm = this.accumulatedWeightedInfNorm[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n\n        const ut0 = weightedInfNorm.mul(this.beta2);\n        const ut1 = gradient.abs();\n\n        const newWeightedInfNorm = ut0.maximum(ut1);\n\n        firstMoment.assign(newFirstMoment);\n        weightedInfNorm.assign(newWeightedInfNorm);\n\n        const newValue =\n            lr.div(oneMinusAccBeta1)\n                .mul(newFirstMoment.div(newWeightedInfNorm.add(this.epsilon)))\n                .add(value);\n\n        value.assign(newValue);\n      });\n\n      this.iteration.assign(this.iteration.add(1));\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.iteration.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedWeightedInfNorm != null) {\n      dispose(this.accumulatedWeightedInfNorm.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for Adamax yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error('setWeights() is not implemented for Adamax yet.');\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n      'decay': this.decay\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon'], config['decay']);\n  }\n}\nregisterClass(AdamaxOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {keep, tidy} from '../globals';\nimport {scalar} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer} from './optimizer';\n\n/** @doclink Optimizer */\nexport class SGDOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'SGD';  // Note: Name matters for Python compatibility.\n  protected c: Scalar;\n\n  constructor(protected learningRate: number) {\n    super();\n    this.setLearningRate(learningRate);\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    varNames.forEach((name, i) => {\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n      const value = ENGINE.registeredVariables[name];\n      tidy(() => {\n        const newValue = this.c.mul(gradient).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  /**\n   * Sets the learning rate of the optimizer.\n   */\n  setLearningRate(learningRate: number) {\n    this.learningRate = learningRate;\n    if (this.c != null) {\n      this.c.dispose();\n    }\n    this.c = keep(scalar(-learningRate));\n  }\n\n  dispose() {\n    this.c.dispose();\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    return [await this.saveIterations()];\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    if (weightValues.length !== 0) {\n      throw new Error('SGD optimizer does not have settable weights.');\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {'learningRate': this.learningRate};\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate']);\n  }\n}\nregisterClass(SGDOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {scalar, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar, Tensor} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {OptimizerVariable} from './optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\n/** @doclink Optimizer */\nexport class MomentumOptimizer extends SGDOptimizer {\n  /** @nocollapse */\n  static className = 'Momentum';  // Name matters for Python compatibility.\n  private m: Scalar;\n  private accumulations: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private momentum: number,\n      private useNesterov = false) {\n    super(learningRate);\n    this.m = scalar(this.momentum);\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulations[i] == null) {\n        const trainable = false;\n        this.accumulations[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const accumulation = this.accumulations[i].variable;\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      tidy(() => {\n        let newValue: Tensor;\n        const newAccumulation = this.m.mul(accumulation).add(gradient);\n        if (this.useNesterov) {\n          newValue =\n              this.c.mul(gradient.add(newAccumulation.mul(this.m))).add(value);\n        } else {\n          newValue = this.c.mul(newAccumulation).add(value);\n        }\n        accumulation.assign(newAccumulation);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.m.dispose();\n    if (this.accumulations != null) {\n      dispose(this.accumulations.map(v => v.variable));\n    }\n  }\n\n  /**\n   * Sets the momentum of the optimizer.\n   *\n   * @param momentum\n   */\n  setMomentum(momentum: number) {\n    this.momentum = momentum;\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulations.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulations = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'momentum': this.momentum,\n      'useNesterov': this.useNesterov\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['momentum'], config['useNesterov']);\n  }\n}\nregisterClass(MomentumOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class RMSPropOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'RMSProp';  // Note: Name matters for Python compatibility.\n  private centered: boolean;\n\n  private accumulatedMeanSquares: OptimizerVariable[] = [];\n  private accumulatedMoments: OptimizerVariable[] = [];\n  private accumulatedMeanGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected decay = 0.9,\n      protected momentum = 0.0, protected epsilon: number = null,\n      centered = false) {\n    super();\n\n    this.centered = centered;\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n    if (learningRate == null) {\n      throw new Error(`learningRate for RMSPropOptimizer must be defined.`);\n    }\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedMeanSquares[i] == null) {\n        this.accumulatedMeanSquares[i] = {\n          originalName: `${name}/rms`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMoments[i] == null) {\n        this.accumulatedMoments[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMeanGrads[i] == null && this.centered) {\n        this.accumulatedMeanGrads[i] = {\n          originalName: `${name}/mg`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedMeanSquare = this.accumulatedMeanSquares[i].variable;\n      const accumulatedMoments = this.accumulatedMoments[i].variable;\n      tidy(() => {\n        const newAccumulatedMeanSquare =\n            accumulatedMeanSquare.mul(this.decay)\n                .add(gradient.square().mul(1 - this.decay));\n\n        if (this.centered) {\n          const accumulatedMeanGrad = this.accumulatedMeanGrads[i].variable;\n          // Centered gradient\n          const newAccumulatedMeanGrad = accumulatedMeanGrad.mul(this.decay)\n                                             .add(gradient.mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare\n                                    .sub(newAccumulatedMeanGrad.square().add(\n                                        this.epsilon))\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMeanGrad.assign(newAccumulatedMeanGrad);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        } else {\n          // Plain gradient\n          const newAccumulatedMeanSquare =\n              accumulatedMeanSquare.mul(this.decay)\n                  .add(gradient.square().mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare.add(this.epsilon)\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        }\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedMeanSquares != null) {\n      dispose(this.accumulatedMeanSquares.map(v => v.variable));\n    }\n    if (this.accumulatedMeanGrads != null && this.centered) {\n      dispose(this.accumulatedMeanGrads.map(v => v.variable));\n    }\n    if (this.accumulatedMoments != null) {\n      dispose(this.accumulatedMoments.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedMeanSquares, ...this.accumulatedMoments];\n    if (this.centered) {\n      variables.push(...this.accumulatedMeanGrads);\n    }\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount =\n        this.centered ? weightValues.length / 3 : weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedMeanSquares =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedMoments =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n    if (this.centered) {\n      this.accumulatedMeanGrads =\n          weightValues.slice(variableCount * 2, variableCount * 3)\n              .map(v => ({\n                     originalName: v.name,\n                     variable: v.tensor.variable(trainable)\n                   }));\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'decay': this.decay,\n      'momentum': this.momentum,\n      'epsilon': this.epsilon,\n      'centered': this.centered\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['decay'], config['momentum'],\n        config['epsilon'], config['centered']);\n  }\n}\nregisterClass(RMSPropOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AdadeltaOptimizer} from './adadelta_optimizer';\nimport {AdagradOptimizer} from './adagrad_optimizer';\nimport {AdamOptimizer} from './adam_optimizer';\nimport {AdamaxOptimizer} from './adamax_optimizer';\nimport {MomentumOptimizer} from './momentum_optimizer';\nimport {RMSPropOptimizer} from './rmsprop_optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\nexport class OptimizerConstructors {\n  /**\n   * Constructs a `tf.SGDOptimizer` that uses stochastic gradient descent.\n   *\n   * ```js\n   * // Fit a quadratic function by learning the coefficients a, b, c.\n   * const xs = tf.tensor1d([0, 1, 2, 3]);\n   * const ys = tf.tensor1d([1.1, 5.9, 16.8, 33.9]);\n   *\n   * const a = tf.scalar(Math.random()).variable();\n   * const b = tf.scalar(Math.random()).variable();\n   * const c = tf.scalar(Math.random()).variable();\n   *\n   * // y = a * x^2 + b * x + c.\n   * const f = x => a.mul(x.square()).add(b.mul(x)).add(c);\n   * const loss = (pred, label) => pred.sub(label).square().mean();\n   *\n   * const learningRate = 0.01;\n   * const optimizer = tf.train.sgd(learningRate);\n   *\n   * // Train the model.\n   * for (let i = 0; i < 10; i++) {\n   *   optimizer.minimize(() => loss(f(xs), ys));\n   * }\n   *\n   * // Make predictions.\n   * console.log(\n   *     `a: ${a.dataSync()}, b: ${b.dataSync()}, c: ${c.dataSync()}`);\n   * const preds = f(xs).dataSync();\n   * preds.forEach((pred, i) => {\n   *   console.log(`x: ${i}, pred: ${pred}`);\n   * });\n   * ```\n   *\n   * @param learningRate The learning rate to use for the SGD algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static sgd(learningRate: number): SGDOptimizer {\n    return new SGDOptimizer(learningRate);\n  }\n\n  /**\n   * Constructs a `tf.MomentumOptimizer` that uses momentum gradient\n   * descent.\n   *\n   * See\n   * [http://proceedings.mlr.press/v28/sutskever13.pdf](\n   * http://proceedings.mlr.press/v28/sutskever13.pdf)\n   *\n   * @param learningRate The learning rate to use for the Momentum gradient\n   * descent algorithm.\n   * @param momentum The momentum to use for the momentum gradient descent\n   * algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static momentum(learningRate: number, momentum: number, useNesterov = false):\n      MomentumOptimizer {\n    return new MomentumOptimizer(learningRate, momentum, useNesterov);\n  }\n\n  /**\n   * Constructs a `tf.RMSPropOptimizer` that uses RMSProp gradient\n   * descent. This implementation uses plain momentum and is not centered\n   * version of RMSProp.\n   *\n   * See\n   * [http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf](\n   * http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf)\n   *\n   * @param learningRate The learning rate to use for the RMSProp gradient\n   * descent algorithm.\n   * @param decay The discounting factor for the history/coming gradient.\n   * @param momentum The momentum to use for the RMSProp gradient descent\n   * algorithm.\n   * @param epsilon Small value to avoid zero denominator.\n   * @param centered If true, gradients are normalized by the estimated\n   * variance of the gradient.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static rmsprop(\n      learningRate: number, decay = .9, momentum = 0.0, epsilon: number = null,\n      centered = false): RMSPropOptimizer {\n    return new RMSPropOptimizer(\n        learningRate, decay, momentum, epsilon, centered);\n  }\n\n  /**\n   * Constructs a `tf.AdamOptimizer` that uses the Adam algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adam gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adam(\n      learningRate = 0.001, beta1 = 0.9, beta2 = 0.999,\n      epsilon: number = null): AdamOptimizer {\n    return new AdamOptimizer(learningRate, beta1, beta2, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdadeltaOptimizer` that uses the Adadelta algorithm.\n   * See [https://arxiv.org/abs/1212.5701](https://arxiv.org/abs/1212.5701)\n   *\n   * @param learningRate The learning rate to use for the Adadelta gradient\n   * descent algorithm.\n   * @param rho The learning rate decay over each update.\n   * @param epsilon A constant epsilon used to better condition the grad\n   * update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adadelta(learningRate = .001, rho = .95, epsilon: number = null):\n      AdadeltaOptimizer {\n    return new AdadeltaOptimizer(learningRate, rho, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdamaxOptimizer` that uses the Adamax algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adamax gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   * @param decay The learning rate decay over each update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adamax(\n      learningRate = 0.002, beta1 = 0.9, beta2 = 0.999, epsilon: number = null,\n      decay = 0.0): AdamaxOptimizer {\n    return new AdamaxOptimizer(learningRate, beta1, beta2, epsilon, decay);\n  }\n\n  /**\n   * Constructs a `tf.AdagradOptimizer` that uses the Adagrad algorithm.\n   * See\n   * [http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf](\n   * http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf)\n   * or\n   * [http://ruder.io/optimizing-gradient-descent/index.html#adagrad](\n   * http://ruder.io/optimizing-gradient-descent/index.html#adagrad)\n   *\n   * @param learningRate The learning rate to use for the Adagrad gradient\n   * descent algorithm.\n   * @param initialAccumulatorValue Starting value for the accumulators, must be\n   * positive.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adagrad(learningRate: number, initialAccumulatorValue = 0.1):\n      AdagradOptimizer {\n    return new AdagradOptimizer(learningRate, initialAccumulatorValue);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// So typings can propagate.\nimport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nimport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nimport {AdamOptimizer} from './optimizers/adam_optimizer';\nimport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nimport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nimport {OptimizerConstructors} from './optimizers/optimizer_constructors';\nimport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nimport {SGDOptimizer} from './optimizers/sgd_optimizer';\n\n// tslint:disable-next-line:no-unused-expression\n[MomentumOptimizer, SGDOptimizer, AdadeltaOptimizer, AdagradOptimizer,\n RMSPropOptimizer, AdamaxOptimizer, AdamOptimizer];\n\nexport const train = {\n  sgd: OptimizerConstructors.sgd,\n  momentum: OptimizerConstructors.momentum,\n  adadelta: OptimizerConstructors.adadelta,\n  adagrad: OptimizerConstructors.adagrad,\n  rmsprop: OptimizerConstructors.rmsprop,\n  adamax: OptimizerConstructors.adamax,\n  adam: OptimizerConstructors.adam\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst delayCallback: Function = (() => {\n  if (typeof requestAnimationFrame !== 'undefined') {\n    return requestAnimationFrame;\n  } else if (typeof setImmediate !== 'undefined') {\n    return setImmediate;\n  }\n  return (f: Function) => f();  // no delays\n})();\n\n/**\n * Returns a promise that resolve when a requestAnimationFrame has completed.\n *\n * On Node.js this uses setImmediate instead of requestAnimationFrame.\n *\n * This is simply a sugar method so that users can do the following:\n * `await tf.nextFrame();`\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nfunction nextFrame(): Promise<void> {\n  return new Promise<void>(resolve => delayCallback(() => resolve()));\n}\n\nexport {nextFrame};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {add} from '../../ops/add';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    add<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.add = function<T extends Tensor>(b: Tensor|TensorLike): T {\n  return add(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {broadcastTo} from '../../ops/broadcast_to';\nimport {Tensor} from '../../tensor';\nimport {Rank, ShapeMap} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    broadcastTo<R extends Rank>(shape: ShapeMap[R]): Tensor<R>;\n  }\n}\n\nTensor.prototype.broadcastTo = function<R extends Rank>(shape: ShapeMap[R]):\n    Tensor<R> {\n  return broadcastTo(this, shape);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {div} from '../../ops/div';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    div<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.div = function<T extends Tensor>(b: Tensor|TensorLike): T {\n  return div(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {divNoNan} from '../../ops/div_no_nan';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    divNoNan<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.divNoNan = function<T extends Tensor>(b: Tensor|\n                                                       TensorLike): T {\n  return divNoNan(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {squaredDifference} from '../../ops/squared_difference';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    squaredDifference<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.squaredDifference = function<T extends Tensor>(b: Tensor|\n                                                                TensorLike): T {\n  return squaredDifference(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tile} from '../../ops/tile';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    tile<T extends Tensor>(b: number[]): T;\n  }\n}\n\nTensor.prototype.tile = function<T extends Tensor>(reps: number[]): T {\n  return tile(this, reps) as T;\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {oneHot} from '../../ops/one_hot';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    oneHot(depth: number, onValue: number, offValue: number): Tensor;\n  }\n}\n\nTensor.prototype.oneHot = function(\n    depth: number, onValue = 1, offValue = 0): Tensor {\n  return oneHot(this, depth, onValue, offValue);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {transpose} from '../../ops/transpose';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    transpose<T extends Tensor>(perm?: number[]): T;\n  }\n}\n\nTensor.prototype.transpose = function<T extends Tensor>(\n    this: T, perm?: number[]): T {\n  return transpose(this, perm);\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {pad} from '../../ops/pad';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    pad<T extends Tensor>(\n        paddings: Array<[number, number]>, constantValue?: number): T;\n  }\n}\n\nTensor.prototype.pad = function<T extends Tensor>(\n    this: T, paddings: Array<[number, number]>, constantValue: number): T {\n  return pad(this, paddings, constantValue);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {batchNorm} from '../../ops/batchnorm';\nimport {Tensor, Tensor1D} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    batchNorm<T extends Tensor>(\n      mean: Tensor<R> | Tensor1D | TensorLike,\n      variance: Tensor<R> | Tensor1D | TensorLike,\n      offset?: Tensor<R> | Tensor1D | TensorLike,\n      scale?: Tensor<R> | Tensor1D | TensorLike,\n      varianceEpsilon?: number\n    ): Tensor<R>;\n  }\n}\n\nTensor.prototype.batchNorm = function <R extends Rank>(\n  this: Tensor<R> | TensorLike, mean: Tensor<R> | Tensor1D | TensorLike,\n  variance: Tensor<R> | Tensor1D | TensorLike,\n  offset?: Tensor<R> | Tensor1D | TensorLike,\n  scale?: Tensor<R> | Tensor1D | TensorLike,\n  varianceEpsilon?: number): Tensor<R> {\n  return batchNorm(this, mean, variance, offset, scale, varianceEpsilon);\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * @fileoverview\n * @suppress {partialAlias} Optimization disabled due to passing the module\n * object into a function below:\n *\n *   import * as ops from './ops/ops';\n *   setOpHandler(ops);\n */\n\n// Engine is the global singleton that needs to be initialized before the rest\n// of the app.\nimport './engine';\n// Register backend-agnostic flags.\nimport './flags';\n// backend_cpu.ts and backend_webgl.ts are standalone files and should be\n// explicitly included here.\nimport './backends/webgl/backend_webgl';\nimport './backends/cpu/backend_cpu';\n// Import all kernels from cpu.\nimport './backends/cpu/register_all_kernels';\n// Import all kernels from webgl.\nimport './backends/webgl/register_all_kernels';\n\n// Register all the gradients.\nimport './register_all_gradients';\n\nimport './platforms/platform_browser';\nimport './platforms/platform_node';\n\nimport * as backend_util from './backends/backend_util';\n// Serialization.\nimport * as io from './io/io';\nimport * as math from './math';\nimport * as browser from './ops/browser';\nimport * as gather_util from './ops/gather_nd_util';\nimport * as scatter_util from './ops/scatter_nd_util';\nimport * as slice_util from './ops/slice_util';\nimport * as serialization from './serialization';\nimport {setOpHandler} from './tensor';\nimport * as tensor_util from './tensor_util';\nimport * as test_util from './test_util';\nimport * as util from './util';\nimport {version} from './version';\nimport * as webgl from './webgl';\n\nexport {InferenceModel, MetaGraph, MetaGraphInfo, ModelPredictConfig, ModelTensorInfo, SavedModelTensorInfo, SignatureDef, SignatureDefInfo} from './model_types';\n// Optimizers.\nexport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nexport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nexport {AdamOptimizer} from './optimizers/adam_optimizer';\nexport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nexport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nexport {Optimizer} from './optimizers/optimizer';\nexport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nexport {SGDOptimizer} from './optimizers/sgd_optimizer';\nexport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer, Variable} from './tensor';\nexport {GradSaveFunc, NamedTensorMap, TensorContainer, TensorContainerArray, TensorContainerObject} from './tensor_types';\nexport {DataType, DataTypeMap, DataValues, Rank, RecursiveArray, ShapeMap, sumOutType, TensorLike} from './types';\n\nexport * from './ops/ops';\nexport {LSTMCellFunc} from './ops/lstm';\nexport {Reduction} from './ops/loss_ops';\n\nexport * from './train';\nexport * from './globals';\nexport * from './kernel_names';\nexport * from './kernel_registry';\nexport {customGrad, grad, grads, valueAndGrad, valueAndGrads, variableGrads} from './gradients';\n\nexport {TimingInfo, MemoryInfo} from './engine';\nexport {Environment, env, ENV} from './environment';\nexport {Platform} from './platforms/platform';\n\nexport {version as version_core};\n\n// Top-level method exports.\nexport {nextFrame} from './browser_util';\n\n// Second level exports.\nexport {\n  browser,\n  io,\n  math,\n  serialization,\n  test_util,\n  util,\n  backend_util,\n  webgl,\n  tensor_util,\n  slice_util,\n  gather_util,\n  scatter_util\n};\n\n// Backend specific.\nexport {KernelBackend, BackendTimingInfo, DataMover, DataStorage} from './backends/backend';\n\nimport * as ops from './ops/ops';\nsetOpHandler(ops);\n\n// Import all op chainers and add type info to Tensor.\nimport './public/chained_ops/register_all_chained_ops';\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.4';\nexport 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\ No newline at end of file
diff --git a/node_modules/@tensorflow/tfjs-core/dist/ops/pad3d.d.ts b/node_modules/@tensorflow/tfjs-core/dist/ops/pad3d.d.ts
index bd29428a1..729b7b478 100644
--- a/node_modules/@tensorflow/tfjs-core/dist/ops/pad3d.d.ts
+++ b/node_modules/@tensorflow/tfjs-core/dist/ops/pad3d.d.ts
@@ -1,3 +1,19 @@
+/**
+ * @license
+ * Copyright 2020 Google Inc. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =============================================================================
+ */
 import { Tensor3D } from '../tensor';
 import { TensorLike } from '../types';
 /**
diff --git a/node_modules/@tensorflow/tfjs-core/dist/ops/pad3d.js.map b/node_modules/@tensorflow/tfjs-core/dist/ops/pad3d.js.map
index 145a4bc3f..548633bf0 100644
--- a/node_modules/@tensorflow/tfjs-core/dist/ops/pad3d.js.map
+++ b/node_modules/@tensorflow/tfjs-core/dist/ops/pad3d.js.map
@@ -1 +1 @@
-{"version":3,"file":"pad3d.js","sourceRoot":"","sources":["../../src/ops/pad3d.ts"],"names":[],"mappings":";;AAEA,gCAA+B;AAC/B,yCAA+B;AAC/B,6BAA0B;AAE1B;;GAEG;AACH,SAAS,MAAM,CACX,CAAsB,EACtB,QAAgE,EAChE,aAAiB;IAAjB,8BAAA,EAAA,iBAAiB;IACnB,aAAM,CACF,QAAQ,CAAC,MAAM,KAAK,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,KAAK,CAAC;QAC7C,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,KAAK,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,KAAK,CAAC,EACxD,cAAM,OAAA,uDAAuD,EAAvD,CAAuD,CAAC,CAAC;IACnE,OAAO,SAAG,CAAC,CAAC,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC;AACzC,CAAC;AAEY,QAAA,KAAK,GAAG,cAAE,CAAC,EAAC,MAAM,QAAA,EAAC,CAAC,CAAC"}
\ No newline at end of file
+{"version":3,"file":"pad3d.js","sourceRoot":"","sources":["../../src/ops/pad3d.ts"],"names":[],"mappings":";;AAkBA,gCAA+B;AAC/B,yCAA+B;AAC/B,6BAA0B;AAE1B;;GAEG;AACH,SAAS,MAAM,CACX,CAAsB,EACtB,QAAgE,EAChE,aAAiB;IAAjB,8BAAA,EAAA,iBAAiB;IACnB,aAAM,CACF,QAAQ,CAAC,MAAM,KAAK,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,KAAK,CAAC;QAC7C,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,KAAK,CAAC,IAAI,QAAQ,CAAC,CAAC,CAAC,CAAC,MAAM,KAAK,CAAC,EACxD,cAAM,OAAA,uDAAuD,EAAvD,CAAuD,CAAC,CAAC;IACnE,OAAO,SAAG,CAAC,CAAC,EAAE,QAAQ,EAAE,aAAa,CAAC,CAAC;AACzC,CAAC;AAEY,QAAA,KAAK,GAAG,cAAE,CAAC,EAAC,MAAM,QAAA,EAAC,CAAC,CAAC"}
\ No newline at end of file
diff --git a/node_modules/@tensorflow/tfjs-core/dist/ops/rand_util.d.ts b/node_modules/@tensorflow/tfjs-core/dist/ops/rand_util.d.ts
index e2dc315a0..446a61f4a 100644
--- a/node_modules/@tensorflow/tfjs-core/dist/ops/rand_util.d.ts
+++ b/node_modules/@tensorflow/tfjs-core/dist/ops/rand_util.d.ts
@@ -73,17 +73,3 @@ export declare class UniformRandom implements RandomBase {
 }
 export declare function jarqueBeraNormalityTest(values: TypedArray | number[]): void;
 export declare function expectArrayInMeanStdRange(actual: TypedArray | number[], expectedMean: number, expectedStdDev: number, epsilon?: number): void;
-export interface RandomBase {
-    nextValue(): number;
-}
-export interface RandomGamma {
-    nextValue(): number;
-}
-export interface RandNormalDataTypes {
-    float32: Float32Array;
-    int32: Int32Array;
-}
-export interface RandGammaDataTypes {
-    float32: Float32Array;
-    int32: Int32Array;
-}
diff --git a/node_modules/@tensorflow/tfjs-core/dist/tf-core.esm.js b/node_modules/@tensorflow/tfjs-core/dist/tf-core.esm.js
index 36554bb49..e68af9a44 100644
--- a/node_modules/@tensorflow/tfjs-core/dist/tf-core.esm.js
+++ b/node_modules/@tensorflow/tfjs-core/dist/tf-core.esm.js
@@ -14,5 +14,5 @@
  * limitations under the License.
  * =============================================================================
  */
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To get the original bytes, call tensor.bytes().")}n.label=2;case 2:return[2,t]}}))}))},t.prototype.dataSync=function(){this.throwIfDisposed();var t=yt().readSync(this.dataId);if("string"===this.dtype)try{return t.map((function(t){return ot(t)}))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. 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Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon"),this.batchNorm(t,e,o,r,n)},t.prototype.all=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),xt.all(this,t,e)},t.prototype.any=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),xt.any(this,t,e)},t.prototype.logSumExp=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),xt.logSumExp(this,t,e)},t.prototype.sum=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),xt.sum(this,t,e)},t.prototype.prod=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),xt.prod(this,t,e)},t.prototype.mean=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),xt.mean(this,t,e)},t.prototype.min=function(t,e){return void 0===t&&(t=null),void 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this.throwIfDisposed(),xt.mul(this,t)},t.prototype.mulStrict=function(t){return this.throwIfDisposed(),xt.mulStrict(this,t)},t.prototype.floorDiv=function(t){return this.throwIfDisposed(),xt.floorDiv(this,t)},t.prototype.divStrict=function(t){return this.throwIfDisposed(),xt.divStrict(this,t)},t.prototype.minimum=function(t){return this.throwIfDisposed(),xt.minimum(this,t)},t.prototype.minimumStrict=function(t){return this.throwIfDisposed(),xt.minimumStrict(this,t)},t.prototype.maximum=function(t){return this.throwIfDisposed(),xt.maximum(this,t)},t.prototype.maximumStrict=function(t){return this.throwIfDisposed(),xt.maximumStrict(this,t)},t.prototype.mod=function(t){return this.throwIfDisposed(),xt.mod(this,t)},t.prototype.modStrict=function(t){return this.throwIfDisposed(),xt.modStrict(this,t)},t.prototype.squaredDifferenceStrict=function(t){return this.throwIfDisposed(),xt.squaredDifferenceStrict(this,t)},t.prototype.notEqual=function(t){return this.throwIfDisposed(),xt.notEqual(this,t)},t.prototype.notEqualStrict=function(t){return this.throwIfDisposed(),xt.notEqualStrict(this,t)},t.prototype.less=function(t){return this.throwIfDisposed(),xt.less(this,t)},t.prototype.lessStrict=function(t){return this.throwIfDisposed(),xt.lessStrict(this,t)},t.prototype.equal=function(t){return this.throwIfDisposed(),xt.equal(this,t)},t.prototype.equalStrict=function(t){return this.throwIfDisposed(),xt.equalStrict(this,t)},t.prototype.lessEqual=function(t){return this.throwIfDisposed(),xt.lessEqual(this,t)},t.prototype.lessEqualStrict=function(t){return this.throwIfDisposed(),xt.lessEqualStrict(this,t)},t.prototype.greater=function(t){return this.throwIfDisposed(),xt.greater(this,t)},t.prototype.greaterStrict=function(t){return this.throwIfDisposed(),xt.greaterStrict(this,t)},t.prototype.greaterEqual=function(t){return this.throwIfDisposed(),xt.greaterEqual(this,t)},t.prototype.greaterEqualStrict=function(t){return this.throwIfDisposed(),xt.greaterEqualStrict(this,t)},t.prototype.logicalAnd=function(t){return this.throwIfDisposed(),xt.logicalAnd(this,t)},t.prototype.logicalOr=function(t){return this.throwIfDisposed(),xt.logicalOr(this,t)},t.prototype.logicalNot=function(){return this.throwIfDisposed(),xt.logicalNot(this)},t.prototype.logicalXor=function(t){return this.throwIfDisposed(),xt.logicalXor(this,t)},t.prototype.where=function(t,e){return this.throwIfDisposed(),xt.where(t,this,e)},t.prototype.neg=function(){return this.throwIfDisposed(),xt.neg(this)},t.prototype.ceil=function(){return this.throwIfDisposed(),xt.ceil(this)},t.prototype.floor=function(){return this.throwIfDisposed(),xt.floor(this)},t.prototype.sign=function(){return this.throwIfDisposed(),xt.sign(this)},t.prototype.isNaN=function(){return this.throwIfDisposed(),xt.isNaN(this)},t.prototype.isInf=function(){return this.throwIfDisposed(),xt.isInf(this)},t.prototype.isFinite=function(){return this.throwIfDisposed(),xt.isFinite(this)},t.prototype.exp=function(){return this.throwIfDisposed(),xt.exp(this)},t.prototype.expm1=function(){return this.throwIfDisposed(),xt.expm1(this)},t.prototype.log=function(){return this.throwIfDisposed(),xt.log(this)},t.prototype.log1p=function(){return this.throwIfDisposed(),xt.log1p(this)},t.prototype.sqrt=function(){return this.throwIfDisposed(),xt.sqrt(this)},t.prototype.rsqrt=function(){return this.throwIfDisposed(),xt.rsqrt(this)},t.prototype.square=function(){return this.throwIfDisposed(),xt.square(this)},t.prototype.reciprocal=function(){return this.throwIfDisposed(),xt.reciprocal(this)},t.prototype.abs=function(){return this.throwIfDisposed(),xt.abs(this)},t.prototype.clipByValue=function(t,e){return this.throwIfDisposed(),xt.clipByValue(this,t,e)},t.prototype.relu=function(){return this.throwIfDisposed(),xt.relu(this)},t.prototype.relu6=function(){return this.throwIfDisposed(),xt.relu6(this)},t.prototype.elu=function(){return this.throwIfDisposed(),xt.elu(this)},t.prototype.selu=function(){return this.throwIfDisposed(),xt.selu(this)},t.prototype.leakyRelu=function(t){return void 0===t&&(t=.2),this.throwIfDisposed(),xt.leakyRelu(this,t)},t.prototype.prelu=function(t){return this.throwIfDisposed(),xt.prelu(this,t)},t.prototype.sigmoid=function(){return this.throwIfDisposed(),xt.sigmoid(this)},t.prototype.logSigmoid=function(){return this.throwIfDisposed(),xt.logSigmoid(this)},t.prototype.softplus=function(){return this.throwIfDisposed(),xt.softplus(this)},t.prototype.zerosLike=function(){return this.throwIfDisposed(),xt.zerosLike(this)},t.prototype.onesLike=function(){return this.throwIfDisposed(),xt.onesLike(this)},t.prototype.sin=function(){return this.throwIfDisposed(),xt.sin(this)},t.prototype.cos=function(){return this.throwIfDisposed(),xt.cos(this)},t.prototype.tan=function(){return this.throwIfDisposed(),xt.tan(this)},t.prototype.asin=function(){return this.throwIfDisposed(),xt.asin(this)},t.prototype.acos=function(){return this.throwIfDisposed(),xt.acos(this)},t.prototype.atan=function(){return this.throwIfDisposed(),xt.atan(this)},t.prototype.sinh=function(){return this.throwIfDisposed(),xt.sinh(this)},t.prototype.cosh=function(){return this.throwIfDisposed(),xt.cosh(this)},t.prototype.tanh=function(){return this.throwIfDisposed(),xt.tanh(this)},t.prototype.asinh=function(){return this.throwIfDisposed(),xt.asinh(this)},t.prototype.acosh=function(){return this.throwIfDisposed(),xt.acosh(this)},t.prototype.atanh=function(){return this.throwIfDisposed(),xt.atanh(this)},t.prototype.erf=function(){return this.throwIfDisposed(),xt.erf(this)},t.prototype.round=function(){return this.throwIfDisposed(),xt.round(this)},t.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),xt.step(this,t)},t.prototype.softmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),xt.softmax(this,t)},t.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),xt.logSoftmax(this,t)},t.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),xt.image.resizeBilinear(this,t,e)},t.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),xt.image.resizeNearestNeighbor(this,t,e)},t.prototype.conv1d=function(t,e,n,r,o,a){return void 0===r&&(r="NWC"),void 0===o&&(o=1),this.throwIfDisposed(),xt.conv1d(this,t,e,n,r,o,a)},t.prototype.conv2d=function(t,e,n,r,o,a){return void 0===r&&(r="NHWC"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),xt.conv2d(this,t,e,n,r,o,a)},t.prototype.conv2dTranspose=function(t,e,n,r,o){return this.throwIfDisposed(),xt.conv2dTranspose(this,t,e,n,r,o)},t.prototype.depthwiseConv2D=function(t,e,n,r,o,a){return void 0===r&&(r="NHWC"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),xt.depthwiseConv2d(this,t,e,n,r,o,a)},t.prototype.separableConv2d=function(t,e,n,r,o,a){return void 0===o&&(o=[1,1]),void 0===a&&(a="NHWC"),this.throwIfDisposed(),xt.separableConv2d(this,t,e,n,r,o,a)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),xt.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),xt.maxPool(this,t,e,n,r)},t.prototype.localResponseNormalization=function(t,e,n,r){return void 0===t&&(t=5),void 0===e&&(e=1),void 0===n&&(n=1),void 0===r&&(r=.5),xt.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,o){return this.throwIfDisposed(),xt.pool(this,t,e,n,r,o)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),yt().makeVariable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),xt.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),xt.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),xt.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),xt.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,o,a,i,s){return void 0===r&&(r=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),this.throwIfDisposed(),xt.stridedSlice(this,t,e,n,r,o,a,i,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),xt.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),xt.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),xt.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),xt.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),xt.spectral.irfft(this)},t}();Object.defineProperty(wt,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var Ct,Et,Rt,It,kt,St=function(t){function n(e,n,r,o){var a=t.call(this,e.shape,e.dtype,e.dataId,o)||this;return a.trainable=n,a.name=r,a}return e(n,t),n.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!S(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");yt().disposeTensor(this),this.dataId=t.dataId,yt().incRef(this,null)},n.prototype.dispose=function(){yt().disposeVariable(this),this.isDisposedInternal=!0},n}(wt);Object.defineProperty(St,Symbol.hasInstance,{value:function(t){return t instanceof wt&&null!=t.assign&&t.assign instanceof 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t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Bt}return t.prototype.ready=function(){return n(this,void 0,void 0,(function(){var t,e,n;return r(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return n(this,void 0,void 0,(function(){var e,n,o;return r(this,(function(r){switch(r.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return o=r.sent(),[3,3];case 2:o=n,r.label=3;case 3:if(!o)return[2,!1];r.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new ut(this.backendInstance),[2,!0]}}))}))},t.prototype.setupRegisteredKernels=function(){var t=this;f(this.backendName).forEach((function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)}))},t.prototype.disposeRegisteredKernels=function(t){var e=this;f(t).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])}))},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var o=++this.pendingBackendInitId,a=r.then((function(n){return!(o<e.pendingBackendInitId)&&(e.registry[t]=n,e.pendingBackendInit=null,!0)})).catch((function(n){return!(o<e.pendingBackendInitId)&&(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),!1)}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority}))},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),o=r.success,a=r.asyncInit;if(a||o)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,o=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,o=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=t}return this.scopedRun((function(){return r.startScope(o)}),(function(){return r.endScope(n)}),(function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],(function(t){return{x:function(){return t.toFloat()}}}),[],{}),e},t.prototype.runKernel=function(t,e,n,r,o){return this.runKernelFunc(null,e,null,t,n,r,o)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),o=0;n.forEach((function(t){o+="complex64"===t.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-e-o-a;if(i>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+i+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,o,a,i){var s,u=this,c=[],h=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var f,d=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var v,g=l(r,this.backendName);if(null!=g)f=function(){var t=u.backend.numDataIds();v=g.kernelFunc({inputs:e,attrs:o,backend:u.backend});var n=Array.isArray(v)?v:[v];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map((function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)}));if(h){var l=u.getTensorsForGradient(r,e,s);if(null==l){null==i&&(i=[]);var f=s.filter((function(t,e){return i[e]}));l=(a||[]).slice().concat(f)}c=u.saveTensorsForBackwardMode(l)}return s};else{var m=function(t){h&&(c=t.map((function(t){return u.keep(u.clone(t))})))};f=function(){var e=u.backend.numDataIds();v=u.tidy((function(){return t(u.backend,m)}));var n=Array.isArray(v)?v:[v];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n}}return this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,(function(){return f()})):f()})),h&&this.addTapeNode(r,e,s,n,c,o),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-d,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map((function(t){return e[t].shape})),outputShapes:s.map((function(t){return t.shape}))}),Array.isArray(v)?s:s[0]},t.prototype.saveTensorsForBackwardMode=function(t){var e=this;return t.map((function(t){return e.keep(e.clone(t))}))},t.prototype.getTensorsForGradient=function(t,e,n){var r=h(t);if(null!=r){var o=r.inputsToSave||[],a=r.outputsToSave||[],i=void 0;r.saveAllInputs?(C(Array.isArray(e),(function(){return"saveAllInputs is true, expected inputs to be an array."})),i=Object.keys(e).map((function(t){return e[t]}))):i=o.map((function(t){return e[t]}));var s=n.filter((function(t,e){return a[e]}));return i.concat(s)}return null},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var o=t;"string"===n&&H(t[0])&&(o=t.map((function(t){return rt(t)})));var a=r.write(o,e,n),i=new wt(e,n,a,this.nextTensorId());if(this.incRef(i,r),"string"===n){var s=this.state.tensorInfo.get(a),u=G(o);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},t.prototype.makeTensorFromDataId=function(t,e,n,r){var o=new wt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(o,r),o},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var o=new St(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[o.name])throw new Error("Variable with name "+o.name+" was already registered");return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o},t.prototype.incRef=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*z(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof St||this.track(t)},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return n(this,void 0,void 0,(function(){var e,n;return r(this,(function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(t){return t.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n,r,o,a){var i=this,s={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:o},u=h(t);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(t){return t=t.map((function(t,e){if(null==t){var r=n[e],o=tt(r.size,r.dtype);return i.makeTensor(o,r.shape,r.dtype)}return t})),r(t.length>1?t:t[0],o,a)}),this.state.activeTape.push(s)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=_t(t),r=new Set(n.map((function(t){return t.id}))),o=0;o<this.state.activeScope.track.length;o++){var a=this.state.activeScope.track[o];a.kept||r.has(a.id)||a.dispose()}var i=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(t){t.kept||t.scopeId!==i.id||e.track(t)}))},t.prototype.gradients=function(t,e,n,r){var o=this;if(void 0===r&&(r=!1),C(e.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '"+n.dtype+"'");var a=this.scopedRun((function(){return o.startTape()}),(function(){return o.endTape()}),(function(){return o.tidy("forward",t)}));C(a instanceof wt,(function(){return"The result y returned by f() must be a tensor."}));var i=function(t,e,n){for(var r={},o={},a=0;a<e.length;a++)r[e[a].id]=!0;for(a=0;a<t.length;a++){var i=(p=t[a]).inputs;for(var s in i){for(var u=i[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){p.outputs.forEach((function(t){return r[t.id]=!0})),c=!0,o[p.id]=!0;break}if(c)break}}var h={};h[n.id]=!0;var f={};for(a=t.length-1;a>=0;a--)for(i=(p=t[a]).inputs,l=0;l<p.outputs.length;l++)if(h[p.outputs[l].id]){for(var s in i)h[i[s].id]=!0,f[p.id]=!0;break}var d=[];for(a=0;a<t.length;a++){var p;if(o[(p=t[a]).id]&&f[p.id]){var v={};for(var s in p.inputs){var g=p.inputs[s];r[g.id]&&(v[s]=g)}var m=Object.assign({},p);m.inputs=v,m.outputs=p.outputs,d.push(m)}}return d}(this.state.activeTape,e,a);if(!r&&0===i.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var t,r,s={};s[a.id]=null==n?(t=a.shape,r=Z(k(t),"float32"),Lt.makeTensor(r,t,"float32")):n,function(t,e,n){for(var r=function(r){var o=e[r],a=[];if(o.outputs.forEach((function(e){var n=t[e.id];null!=n?a.push(n):a.push(null)})),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+o.kernelName+".");var i=o.gradient(a),s=function(e){if(!(e in i))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(i)+".");var r=n((function(){return i[e]()}));if("float32"!==r.dtype)throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=o.inputs[e];if(!S(r.shape,a.shape))throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+a.shape+"'");if(null==t[a.id])t[a.id]=r;else{var s=t[a.id];t[a.id]=s.add(r),s.dispose()}};for(var u in o.inputs)s(u)},o=e.length-1;o>=0;o--)r(o)}(s,i,(function(t){return o.tidy(t)}));var u=e.map((function(t){return s[t.id]}));return 0===o.state.gradientDepth&&(o.state.activeTape.forEach((function(t){for(var e=0,n=t.saved;e<n.length;e++){n[e].dispose()}})),o.state.activeTape=null),{value:a,grads:u}}))},t.prototype.customGrad=function(t){var e=this;return C(X(t),(function(){return"The f passed in customGrad(f) must be a function."})),function(){for(var n,r=[],o=0;o<arguments.length;o++)r[o]=arguments[o];C(r.every((function(t){return t instanceof wt})),(function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"}));var a={};return r.forEach((function(t,e){a[e]=t})),e.runKernelFunc((function(e,o){return C((n=t.apply(void 0,r.concat([o]))).value instanceof wt,(function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"})),C(X(n.gradFunc),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."})),n.value}),a,(function(t,e){var o=n.gradFunc(t,e),a=Array.isArray(o)?o:[o];C(a.length===r.length,(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."})),C(a.every((function(t){return t instanceof wt})),(function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."}));var i={};return a.forEach((function(t,e){i[e]=function(){return t}})),i}))}},t.prototype.readSync=function(t){return this.state.tensorInfo.get(t).backend.readSync(t)},t.prototype.read=function(t){return this.state.tensorInfo.get(t).backend.read(t)},t.prototype.time=function(t){return n(this,void 0,void 0,(function(){var e,n;return r(this,(function(r){switch(r.label){case 0:return e=et(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=et()-e,[2,n]}}))}))},t.prototype.track=function(t){return null!=this.state.activeScope&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t},Object.defineProperty(t.prototype,"registeredVariables",{get:function(){return this.state.registeredVariables},enumerable:!0,configurable:!0}),t.prototype.reset=function(){for(var t in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Bt,this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},t.nextTensorId=0,t.nextVariableId=0,t}();var Lt=function(){var t=function(){if(null==Ot){var t=void 0;if("undefined"!=typeof window)t=window;else if("undefined"!=typeof global)t=global;else if("undefined"!=typeof process)t=process;else{if("undefined"==typeof self)throw new Error("Could not find a global object");t=self}Ot=t}return Ot}();if(null==t._tfengine){var e=new o(t);t._tfengine=new Pt(e)}return function(t){s=t}(t._tfengine.ENV),yt=function(){return t._tfengine},t._tfengine}();function Wt(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}var Ut=i();Ut.registerFlag("DEBUG",(function(){return!1}),(function(t){t&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")})),Ut.registerFlag("IS_BROWSER",(function(){return Wt()})),Ut.registerFlag("IS_NODE",(function(){return"undefined"!=typeof process&&void 0!==process.versions&&void 0!==process.versions.node})),Ut.registerFlag("IS_CHROME",(function(){return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)})),Ut.registerFlag("PROD",(function(){return!1})),Ut.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",(function(){return Ut.getBool("DEBUG")})),Ut.registerFlag("DEPRECATION_WARNINGS_ENABLED",(function(){return!0})),Ut.registerFlag("IS_TEST",(function(){return!1}));var Vt,zt,Gt,Ht={},qt={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function Kt(t,e){Ht[t]=e}function jt(t){t in Ht||(Ht[t]=function(t){if(1!==t&&2!==t)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var 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Za(t,e,n,r){var o=[];t.forEach((function(t){var e=k(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?o.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(o.push("uniform sampler2D "+t.name+";"),o.push("uniform int offset"+t.name+";"))}));var a,i,s=o.join("\n"),u=t.map((function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?ei(t):ti(t);var o=t.shapeInfo.logicalShape,a=e.logicalShape;o.length<=a.length&&(r+=n?function(t,e){var n,r=t.name,o=r.charAt(0).toUpperCase()+r.slice(1),a="get"+o+"AtOutCoords",i=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=Mr(t.shapeInfo.logicalShape,e.logicalShape),c=ui(s),l=s-i,h=["x","y","z","w","u","v"];n=0===i?"":s<2&&u.length>=1?"coords = 0;":u.map((function(t){return"coords."+h[t+l]+" = 0;"})).join("\n");var f="";f=s<2&&i>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+h[e+l]})).join(", ");var d="return 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   return sampleTexture("+n+", resultUV);\n      }\n    ";var c,l=ui(u),h=Mr(t.shapeInfo.logicalShape,e.logicalShape),f=u-s,d=["x","y","z","w","u","v"];c=0===s?"":u<2&&h.length>=1?"coords = 0;":h.map((function(t){return"coords."+d[t+f]+" = 0;"})).join("\n");var p="";p=u<2&&s>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+d[e+f]})).join(", ");return"\n    float "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+c+"\n      return get"+r+"("+p+");\n    }\n  "}(t,e));return r}(t,e,r)})).join("\n"),c=e.texShape,l=Ya(),h=function(t){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+t.texture2D+"(textureSampler, uv).r;\n    }\n  "}(l),f=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+t.defineSpecialNaN+"\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+ni+"\n    "+ri+"\n    "+oi+"\n  "}(l);return e.isPacked?(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(1===n[0])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ";if(1===n[1])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(S(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Math.ceil(n[2]/2),i=a*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+o[0]+", "+o[1]+"));\n      int index = resTexRC.x * "+o[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),o=r*Math.ceil(t[t.length-2]/2),a=o,i="",s="b, r, c",u=2;u<t.length-1;u++)a*=t[t.length-u-1],i="\n      int b"+u+" = index / "+a+";\n      index -= b"+u+" * "+a+";\n    "+i,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+i+"\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,o,a,i}(e.logicalShape,c),i=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(l)):(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){if(1===e[0])return"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ";if(1===e[1])return"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){if(S(t,e))return"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ";if(1===t[1])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ";if(1===t[0])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=$a(["r","c","d"],t),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(t,e){var n=$a(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=$a(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=$a(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,c),i=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),r&&(f+=ai),[f,h,i,s,a,u,n].join("\n")}function ti(t){var e=t.shapeInfo.logicalShape;switch(e.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===o&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=t.shapeInfo.texShape,s=i[0],u=i[1],c=ii(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+c+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+si(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===a&&1===o)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=ii(e);if(1===a)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+i+") + 0.5) / "+o+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ";if(1===o)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+i+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ";return"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+o+", "+a+", index + "+i+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape;if(null!=o&&S(e,o)){var a=o[0],i=o[1];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var s=M(e),u=s.newShape,c=s.keptDims,l=u;if(l.length<e.length){var h=ci(t,l);return"\n      "+ti(h)+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+li(["row","col"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+si(t)+"\n      }\n    ";var f=o[0],d=o[1],p=ii(n);if(1===d)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";if(1===f)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+d+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+p+";\n    vec2 uv = uvFromFlat("+f+", "+d+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[1]*e[2],a=e[2],i=M(e),s=i.newShape,u=i.keptDims,c=s;if(c.length<e.length){var l=ci(t,c);return"\n        "+ti(l)+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+li(["row","col","depth"],u)+");\n        }\n      "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+o+", "+a+", 1)));\n        "+si(t)+"\n      }\n    ";var h=t.shapeInfo.texShape,f=h[0],d=h[1],p=t.shapeInfo.flatOffset;if(d===o&&null==p)return"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+d+".0, "+f+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ";if(d===a&&null==p)return"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+d+".0, "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";var v=ii(n);return"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+o+" + col * "+a+" + depth + "+v+";\n        vec2 uv = uvFromFlat("+f+", "+d+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[3],a=e[2]*o,i=e[1]*a,s=M(e),u=s.newShape,c=s.keptDims;if(u.length<e.length){var l=ci(t,u);return"\n      "+ti(l)+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+li(["row","col","depth","depth2"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+i+", "+a+", "+o+", 1)));\n        "+si(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,d=f[0],p=f[1];if(p===i&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+p+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(p===o&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+p+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=ii(n);return"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+i+" + col * "+a+" +\n          depth * "+o+" + depth2;\n      vec2 uv = uvFromFlat("+d+", "+p+", index + "+v+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[4],a=e[3]*o,i=e[2]*a,s=e[1]*i,u=M(e),c=u.newShape,l=u.keptDims;if(c.length<e.length){var h=ci(t,c);return"\n      "+ti(h)+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+li(["row","col","depth","depth2","depth3"],l)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+i+", "+a+", "+o+")) +\n          depth3;\n        "+si(t)+"\n      }\n    ";var f=t.shapeInfo.flatOffset,d=t.shapeInfo.texShape,p=d[0],v=d[1];if(v===s&&null==f)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+i+", "+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===o&&null==f)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=ii(n);return"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+i+" + depth * "+a+" +\n          depth2 * "+o+" + depth3 + "+g+";\n      vec2 uv = uvFromFlat("+p+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=M(e),a=o.newShape,i=o.keptDims;if(a.length<e.length){var s=ci(t,a);return"\n      "+ti(s)+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+li(["row","col","depth","depth2","depth3","depth4"],i)+");\n      }\n    "}var u=e[5],c=e[4]*u,l=e[3]*c,h=e[2]*l,f=e[1]*h;if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+f+", "+h+", "+l+", "+c+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+u+", 1)));\n        "+si(t)+"\n      }\n    ";var d=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,v=p[0],g=p[1];if(g===f&&null==d)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+h+", "+l+", "+c+", "+u+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+g+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(g===u&&null==d)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+g+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var m=ii(n);return"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+f+" + col * "+h+" + depth * "+l+" +\n          depth2 * "+c+" + depth3 * "+u+" + depth4 + "+m+";\n      vec2 uv = uvFromFlat("+v+", "+g+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function ei(t){var e,n,r;switch(t.shapeInfo.logicalShape.length){case 0:return e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=Ya(),"\n    vec4 "+n+"() {\n      return "+r.texture2D+"("+e+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Ya();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+o[0]+", "+o[1]+", index);\n      return "+a.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=o[0],i=o[1],s=Ya();if(null!=o&&S(e,o))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],c=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+c+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===e[0]){var i=e.slice(1),s=ci(t,i);return"\n        "+ei(s)+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+li(["b","row","col"],[1,2])+");\n        }\n      "}var u=a[0],c=a[1],l=Math.ceil(e[2]/2),h=l*Math.ceil(e[1]/2),f=Ya();return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+u+", "+c+", "+h+", "+l+", b, row, col);\n      return "+f.texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,o="get"+r.charAt(0).toUpperCase()+r.slice(1),a=t.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=i[0],u=i[1],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),h="int b, int row, int col",f="b * "+l+" + (row / 2) * "+c+" + (col / 2)",d=2;d<n-1;d++)h="int b"+d+", "+h,l*=e[n-d-1],f="b"+d+" * "+l+" + "+f;var p=Ya();return"\n    vec4 "+o+"("+h+") {\n      int index = "+f+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+p.texture2D+"("+r+", uv);\n    }\n  "}(t)}}var ni="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",ri="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",oi="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",ai="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function ii(t){return"offset"+t}function si(t){var e=t.name,n=k(t.shapeInfo.logicalShape);return n<2?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function ui(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function ci(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function li(t,e){return e.map((function(e){return t[e]})).join(", ")}var hi=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,C(t.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var o=t[t.length-1],a=Math.ceil(o/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var i,s,u=this.outputShape,c=u.length,l=ui(c),h=Xa("coords",c);if(1===a){var f=ui(s=c+1);i="\n        "+f+" sourceLocR = "+f+"("+h.join()+", 0);\n        ++"+h[c-1]+";\n        "+f+" sourceLocG = "+f+"("+h.join()+", 0);\n        ++"+h[c-2]+";\n        "+f+" sourceLocA = "+f+"("+h.join()+", 0);\n        --"+h[c-1]+";\n        "+f+" sourceLocB = "+f+"("+h.join()+", 0);\n        --"+h[c-2]+";"}else s=c,i="\n        "+l+" sourceLocR = coords;\n        ++"+h[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+h[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+h[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+h[c-2]+";";var d=["x","y","z","w","u","v"].slice(0,s),p="."+d[s-1],v=d.map((function(t){return"int "+t})),g=Xa("sourceLocR",s-1).concat("inIdx.r"),m=Xa("sourceLocG",s-1).concat("inIdx.g"),y=Xa("sourceLocB",s-1).concat("inIdx.b"),x=Xa("sourceLocA",s-1).concat("inIdx.a"),b="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+m.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+x.join()+")));",E="vec4(\n            getAChannel("+g.join()+"),\n            hasNextCol ? getAChannel("+m.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+x.join()+") : 0.)",R=r?"":"\n      float getBestIndicesAChannel("+v.join()+") {\n        return getChannel(getBestIndicesA("+d.join()+"),\n                                          vec2("+d.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+v.join()+") {\n        return getChannel(getA("+d.join()+"),\n                               vec2("+d.slice(-2).join()+"));\n      }\n      "+R+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+h[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+h[c-2]+" < "+(u[c-2]-1)+";\n        "+i+"\n        ivec4 srcIdx = ivec4(sourceLocR"+p+", sourceLocG"+p+",\n          sourceLocB"+p+", sourceLocA"+p+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+E+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+E+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+b+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},fi=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,h=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+h+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+i+") {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},di=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,h=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=l-1-t.padInfo.front,p=h-1-t.padInfo.top,v=f-1-t.padInfo.left,g=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+d+", "+p+", "+v+");\n      const float avgMultiplier = float("+g+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+o+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+h+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+f+";\n                wC += "+c+") {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},pi=function(t,e,n,r,o,a){this.outputShape=[],this.variableNames=["x","mean","variance"],Pr(t,e),Pr(t,n);var i="0.0";null!=r&&(Pr(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="1.0";null!=o&&(Pr(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+i+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},vi=function(t,e,n,r,o,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Pr(t,e),Pr(t,n);var i="vec4(0.0)";null!=r&&(Pr(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=o&&(Pr(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+i+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},gi="return areal * breal - aimag * bimag;",mi="return areal * bimag + aimag * breal;",yi=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Pr(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},xi="return a + b;",bi="return a - b;",wi="return a * b;",Ci="\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",Ei="return (a < 0.) ? b * a : a;",Ri=function(t,e,n){this.variableNames=["A","B"],this.outputShape=Pr(e,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},Ii="\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n",ki="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Si=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Pr(e,n);var o=this.outputShape.length,a="";if(r)if(0===o||1===k(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+ui(o)+" coords = getOutputCoords();\n        ",1===o)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var i=Xa("coords",o);a+="\n            bool nextRowOutOfBounds =\n              ("+i[o-2]+" + 1) >= "+this.outputShape[o-2]+";\n            bool nextColOutOfBounds =\n              ("+i[o-1]+" + 1) >= "+this.outputShape[o-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+a+"\n\n        setOutput(result);\n      }\n    "},Ai=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Ti=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Di=function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},Ni=function(t){this.outputShape=[],this.outputShape=Sn(t,1),this.variableNames=t.map((function(t,e){return"T"+e}));var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var o=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+o+"));")}var a=e.length,i=e[e.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+i+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},Fi=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=Sn(t,e);var n=this.outputShape,r=n.length,o=ui(r),a=Xa("coords",r),i=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map((function(t,e){return"T"+e}));var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var c=i[e],l=i.slice(-2),h=i.join(),f="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+h+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var d=s[u-1];f+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+_i(i,c,d)+"),\n            vec2("+_i(l,c,d)+"));\n        }"}var p=s.length,v=s[s.length-1];f+="\n        return getChannel(\n          getT"+p+"("+_i(i,c,v)+"),\n          vec2("+_i(l,c,v)+"));",this.userCode="\n      float getValue("+i.map((function(t){return"int "+t}))+") {\n        "+f+"\n      }\n\n      void main() {\n        "+o+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function _i(t,e,n){var r=t.indexOf(e);return t.map((function(t,e){return e===r?t+" - "+n:t})).join()}var Oi=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Mi=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a="channelsLast"===t.dataFormat,i=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n\n              if ("+a+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Bi=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.padInfo.front,a=t.padInfo.top,i=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+o+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+a+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+i+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Pi=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+o+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Li=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a=t.outChannels/t.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+a+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Wi=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=e-1-t.padInfo.top,i=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ui=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,a=t.padInfo.left,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,f=4*Math.floor(t.inChannels/4),d=t.inChannels%4,p="channelsLast"===t.dataFormat,v=p?1:2,g=p?2:3,m=p?3:1,y="",x="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",x="result = activation(result);");var b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+m+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+v+"], coords["+g+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+p+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===d)+") {\n\n              if ("+p+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+f+") *\n                    getW(wR, wC, "+f+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+f+", xR, xC) *\n                    getW(wR, wC, "+f+", d2);\n              }\n\n            } else if ("+(2===d)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2)\n              );\n\n              if ("+p+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===d)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2),\n                getW(wR, wC, "+f+" + 2, d2)\n              );\n\n              if ("+p+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1),\n                  getX(batch, xR, xC, "+f+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC),\n                  getX(batch, "+f+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+b+"\n        "+x+"\n        setOutput(result);\n      }\n    "},Vi=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,h=t.filterHeight,f=t.filterWidth,d=4*Math.floor(t.inChannels/4),p=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+o+", "+a+", "+i+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+h+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+f+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+d+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===p)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+d+") *\n                  getW(wF, wR, wC, "+d+", d2);\n              } else if ("+(2===p)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+d+"),\n                  getX(batch, xF, xR, xC, "+d+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+d+", d2),\n                  getW(wF, wR, wC, "+d+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===p)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+d+"),\n                  getX(batch, xF, xR, xC, "+d+" + 1),\n                  getX(batch, xF, xR, xC, "+d+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+d+", d2),\n                  getW(wF, wR, wC, "+d+" + 1, d2),\n                  getW(wF, wR, wC, "+d+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},zi=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,p=t.outChannels/t.inChannels,v="",g="";n&&(v=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",g="result = activation(result);");var m=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+v+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+p+";\n        int q = d2 - d1 * "+p+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+f+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+o+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+d+"; wC++) {\n            int xC = xCCorner + wC * "+h+";\n\n            if (xC < 0 || xC >= "+a+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+m+"\n        "+g+"\n        setOutput(result);\n      }\n    "},Gi=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,p=d,v="int xR; int xC; int xCOffset;",g=0;g<f;g++)for(var m=0;m<d;m++)v+="\n          vec4 xTexelR"+g+"C"+2*m+" = vec4(0.);\n          vec4 wR"+g+"C"+m+" = vec4(0.);\n          vec4 xR"+g+"C"+m+" = vec4(0.);";for(g=0;g<f;g++)for(var y=0;y<p;y++){if(v+="\n          xR = xRCorner + "+g*l+";\n          xC = xCCorner + "+(m=2*y)*h+";\n        ",1===c){if(m<d&&(v+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+m+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+g+"C"+m+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+g+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+g+"C"+m+" = vec4(previous.zw, xTexelR"+g+"C"+m+".xy);\n                } else {\n                  xR"+g+"C"+m+" = vec4(0, 0, xTexelR"+g+"C"+m+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+o+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+m+" = vec4(0.);\n                }\n\n                xR"+g+"C"+m+" = xTexelR"+g+"C"+m+";\n              ",m+1<d)){var x=s%2==0?b(h):h;h%2==0&&s%2==1||h%2!=0&&s%2!=1?(v+="\n                  xCOffset = xC + "+s%2+" + "+x+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",h>1&&(v+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+o+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+g+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+g+"C"+m+" = vec4(0.);\n                    }\n                  "),v+="\n                  xR"+g+"C"+(m+1)+" = vec4(\n                    xTexelR"+g+"C"+m+".zw, xTexelR"+g+"C"+(m+2)+".xy);\n                "):v+="\n                  xCOffset = xC + "+x+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+g+"C"+(m+1)+" = xTexelR"+g+"C"+(m+2)+";\n                "}}else m<d&&(v+="\n              if(xR >= 0 && xR < "+o+") {\n            ",s%2==1?(v+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+m+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+g+"C"+(m+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+g+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+m+" = vec4(\n                  xTexelR"+g+"C"+m+".zw, xTexelR"+g+"C"+(m+2)+".zw);\n              ",m+1<d&&(v+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+g+"C"+(m+1)+" = vec4(xTexelR"+g+"C"+(m+2)+".xy, final.xy);\n                ")):(v+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+m+" = vec4(\n                  xTexelR"+g+"C"+m+".xy, xTexelR"+g+"C"+(m+2)+".xy);\n              ",m+1<d&&(v+="\n                  xR"+g+"C"+(m+1)+" = vec4(\n                    xTexelR"+g+"C"+m+".zw, xTexelR"+g+"C"+(m+2)+".zw);\n                ")),v+="}");m<d&&(v+="\n            vec4 wTexelR"+g+"C"+m+" = getW("+g+", "+m+", d1, q);\n            wR"+g+"C"+m+" = vec4(wTexelR"+g+"C"+m+".xz, wTexelR"+g+"C"+m+".xz);\n          ",m+1<d&&(v+="\n              vec4 wTexelR"+g+"C"+(m+1)+" = getW("+g+", "+(m+1)+", d1, q);\n              wR"+g+"C"+(m+1)+" =\n                vec4(wTexelR"+g+"C"+(m+1)+".xz, wTexelR"+g+"C"+(m+1)+".xz);"))}for(g=0;g<f;g++)for(m=0;m<d;m++)v+="dotProd += xR"+g+"C"+m+" * wR"+g+"C"+m+";";var w="",C="";n&&(w=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",C="result = activation(result);");var E=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+w+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+v+"\n\n        vec4 result = dotProd;\n        "+E+"\n        "+C+"\n        setOutput(result);\n      }\n    "},Hi=function(t,e,n,r,o){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=t[0],i=t[1],s=t[2],u=t[3],c=e[0],l=n[0],h=n[1];this.outputShape=[c,l,h,u];var f="bilinear"===r?1:0,d=[i-1+".0",s-1+".0"],p=d[0],v=d[1],g=l>1?[""+(i-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],m=g[0],y=g[1],x=g[2],b=h>1?[""+(s-1)/(h-1),"(x2-x1) * width_ratio","x1*"+v+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+v],w=b[0],C=b[1],E=b[2];this.userCode="\n      const float height_ratio = float("+m+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+C+";\n\n        float in_y = "+x+";\n        if( in_y < 0.0 || in_y > "+p+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+v+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+f+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},qi=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,o=t[t.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+o+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+ui(r)+" coords = getOutputCoords();\n        int end = "+Ki(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+o+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+a+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+Ki(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function Ki(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var ji=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Vt.DENSE;var e=Yt(t),n=Ya();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+$a(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},Xi=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Vt.DENSE;var e=Yt(t),n=Ya();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+$a(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},Yi=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),$i=function(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},Qi=function(t){this.variableNames=["A"],this.outTexUsage=zt.DOWNLOAD;var e=Ya();this.outputShape=t,this.userCode="\n      "+Ja+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},Ji=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=zt.DOWNLOAD;var e=Ya();this.outputShape=t,this.userCode="\n      "+Ja+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+e.output+" = encode_float(x);\n      }\n    "},Zi=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=Ya(),o=e[0],a=e[1];this.outputShape=t;var i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode="\n      "+Qa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+i+", 0., 0., 0.);\n      }\n    "},ts=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=Ya(),o=e[0],a=e[1];this.outputShape=t;var i="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;i+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+t[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+Qa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        "+i+"\n\n        "+r.output+" = "+s+";\n      }\n    "},es="return real * expR - imag * expI;",ns="return real * expI + imag * expR;",rs=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var o=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+o+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},os=function(){function t(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.valueLoc&&(e.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(e.valueLoc,t)}},t}(),as=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var o=ui(this.rank),a=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],a=0;a<t.length;a++)a===e?o.push("int(getIndices("+r[a]+"))"):o.push(""+r[a]);return o.join()}(t,n);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var is=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=ui(e.length),o=ui(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+o+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+a+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function ss(t,e){var n=Ya();return oe(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function us(t,e){return fe(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function cs(t,e){return de(t,e,new Uint16Array([0,1,2,2,1,3]))}function ls(t,e,n,r,o,a,i){ve(n,r);var s=pe(t,e),u=t.TEXTURE_2D;return Jt(t,e,(function(){return t.bindTexture(u,s)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)})),Jt(t,e,(function(){return t.texImage2D(u,0,o,n,r,0,a,i,null)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)})),s}function hs(t,e,n,r,o){var a=Xt(n,r);return ls(t,e,a[0],a[1],o.internalFormatFloat,o.textureFormatFloat,t.FLOAT)}function fs(t,e,n,r,o){var a=Xt(n,r);return ls(t,e,a[0],a[1],o.internalFormatHalfFloat,o.textureFormatFloat,o.textureTypeHalfFloat)}function ds(t,e,n,r,o){var a=Xt(n,r);return ls(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function ps(t,e,n,r,o){var a=$t(n,r);return ls(t,e,a[0],a[1],o.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function vs(t,e,n,r,o){var a=$t(n,r);return ls(t,e,a[0],a[1],o.internalFormatPackedHalfFloat,t.RGBA,o.textureTypeHalfFloat)}function gs(t,e,n,r){return Jt(t,e,(function(){return t.bindBuffer(t.ARRAY_BUFFER,r)})),me(t,e,n,"clipSpacePos",r,3,20,0)&&me(t,e,n,"uv",r,2,20,12)}function ms(t,e,n,r,o,a,i){var s,u,c;Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),a instanceof Uint8Array?(s=new Uint8Array(r*o*4),u=t.UNSIGNED_BYTE,c=t.RGBA):(s=new Float32Array(r*o*4),u=t.FLOAT,c=i.internalFormatPackedFloat),s.set(a),Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,c,r,o,0,t.RGBA,u,s)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)}))}function ys(t,e,n,r){Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),r.data instanceof Uint8Array?Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,r.width,r.height,0,t.RGBA,t.UNSIGNED_BYTE,r.data)})):Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)}))}function xs(t,e,n,r,o){var a=t.createBuffer();Jt(t,e,(function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,a)}));var i=16*n*r;return Jt(t,e,(function(){return t.bufferData(t.PIXEL_PACK_BUFFER,i,t.STREAM_READ)})),Jt(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,0)})),Jt(t,e,(function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,null)})),a}function bs(t,e,n){var r=t,o=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,o),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),o}function ws(t,e,n,r,o){var a=Xt(n,r),i=a[0],s=a[1],u=new Uint8Array(n*r*4);return Jt(t,e,(function(){return t.readPixels(0,0,i,s,o.downloadTextureFormat,t.UNSIGNED_BYTE,u)})),new Float32Array(u.buffer)}function Cs(t,e,n,r,o,a,i,s){var u=t,c=new Float32Array(function(t,e){var n=$t(t,e);return n[0]*n[1]*4}(a,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function Es(t,e,n,r){var o=new Float32Array(n*r*4);return Jt(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,o)})),o}var Rs=Object.freeze({createVertexShader:ss,createVertexBuffer:us,createIndexBuffer:cs,createFloat32MatrixTexture:hs,createFloat16MatrixTexture:fs,createUnsignedBytesMatrixTexture:ds,createPackedMatrixTexture:ps,createFloat16PackedMatrixTexture:vs,bindVertexProgramAttributeStreams:gs,uploadDenseMatrixToTexture:ms,uploadPixelDataToTexture:ys,createBufferFromOutputTexture:xs,downloadFloat32MatrixFromBuffer:bs,downloadByteEncodedFloatMatrixFromOutputTexture:ws,downloadPackedMatrixFromBuffer:Cs,downloadMatrixFromPackedOutputTexture:Es}),Is=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=i().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,Kt(e,t)):this.gl=jt(e);var n="WEBGL_color_buffer_float";if(1===i().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=re(this.gl,this.debug,"OES_texture_float"),Pe(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=re(this.gl,this.debug,"OES_texture_half_float");else if(i().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Pe(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=re(this.gl,this.debug,"EXT_color_buffer_half_float");else if(i().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Pe(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Pe(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=us(this.gl,this.debug),this.indexBuffer=cs(this.gl,this.debug),this.framebuffer=ge(this.gl,this.debug),this.textureConfig=Qt(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return i().getBool("DEBUG")},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;Jt(e,this.debug,(function(){return e.finish()})),Jt(e,this.debug,(function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)})),Jt(e,this.debug,(function(){return e.deleteFramebuffer(t.framebuffer)})),Jt(e,this.debug,(function(){return e.bindBuffer(e.ARRAY_BUFFER,null)})),Jt(e,this.debug,(function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)})),Jt(e,this.debug,(function(){return e.deleteBuffer(t.indexBuffer)})),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),hs(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),fs(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),ds(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),ys(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),ms(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),vs(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),ps(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(Ee(this.gl,this.debug,this.framebuffer),this.outputTexture=null),Jt(this.gl,this.debug,(function(){return e.gl.deleteTexture(t)}))},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return ws(r.gl,r.debug,e,n,r.textureConfig)}))},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,o,a){return Cs(this.gl,t,0,0,0,o,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return bs(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=xs(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(i().getBool("WEBGL_FENCE_API_ENABLED")){var o=t,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=o.clientWaitSync(a,0,0);return t===o.ALREADY_SIGNALED||t===o.CONDITION_SATISFIED},e=a}else i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return Es(r.gl,r.debug,e,n)}))},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=ae(e,this.debug,t),r=ss(e,this.debug),o=ce(e,this.debug);return Jt(e,this.debug,(function(){return e.attachShader(o,r)})),Jt(e,this.debug,(function(){return e.attachShader(o,n)})),le(e,this.debug,o),this.debug&&he(e,this.debug,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=gs(e,this.debug,this.program,this.vertexBuffer)),o},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&Jt(this.gl,this.debug,(function(){return e.gl.deleteProgram(t)}))},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&he(this.gl,this.debug,this.program),Jt(this.gl,this.debug,(function(){return e.gl.useProgram(t)}))},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?xe(this.gl,this.debug,t,e):be(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return n.gl.getAttribLocation(t,e)}))},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),we(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=$t(e,n),o=r[0],a=r[1];this.setOutputMatrixTextureDriver(t,o,a)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&he(this.gl,this.debug,this.program),Re(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),Jt(t,this.debug,(function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)}))},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return t.gl.finish()}))},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=re(this.gl,this.debug,2===i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),o=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,o),o},t.prototype.endQuery=function(){if(2!==i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return n(this,void 0,void 0,(function(){var e=this;return r(this,(function(n){switch(n.label){case 0:return[4,F((function(){return e.disposed||e.isQueryAvailable(t,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}))];case 1:return n.sent(),[2,this.getQueryTime(t,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}}))}))},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),o=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise((function(n){e.addItemToPoll((function(){return t.isFencePassed()}),(function(){return n()}))}))},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length;++e){if(!t[e]())break}return e-1}(this.itemsToPoll.map((function(t){return t.isDoneFn}))),e=0;e<=t;++e){(0,this.itemsToPoll[e].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||F((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),Ce(this.gl,this.debug,t,this.framebuffer),this.debug&&Re(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Ce(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&Re(this.gl)):Ee(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;Ce(r,this.debug,t,this.framebuffer),this.debug&&Re(r),this.outputTexture=t,Jt(r,this.debug,(function(){return r.viewport(0,0,e,n)})),Jt(r,this.debug,(function(){return r.scissor(0,0,e,n)}))},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var o=this;this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return o.gl.scissor(t,e,n,r)}))},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function ks(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach((function(t,n){var r=t.logicalShape,o=e[n],a=o.shape;if(!S(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!t.isUniform||!o.isUniform){var i=t.texShape,s=o.isUniform?null:o.texData.texShape;if(!S(i,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+i+" and "+s+" must match")}}))}var Ss=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,o=n.inChannels,a=n.strideWidth,i=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,h=n.dataFormat,f=s.left,d=s.top,p=o*r,v=Ya(),g="channelsLast"===h,m=g?0:1,y=g?1:2,x="",b=0;b<=1;b++)for(var w=0;w<=1;w++)x+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+b+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+i+" - "+d+";\n            d0 = offsetY + "+l+" * (pos / "+p+");\n\n            if(d0 < "+e[m]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+f+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+p+".) / "+o+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+o+".));\n\n                if ("+g+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+x+"\n\n        "+v.output+" = result;\n      }\n    "},As=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[];var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+i+"; j <= "+i+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+a+";\n        setOutput(val);\n      }\n    "},Ts=function(t,e,n,r,o){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=o,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+o+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+o+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},Ds=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+i+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+i+"; j <= "+i+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},Ns=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,o=t.effectiveFilterHeight,a=t.effectiveFilterWidth,i=o-1-t.padInfo.top,s=a-1-t.padInfo.left,u=o*a-1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+o+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+a+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Fs=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.dilationDepth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=s-1-t.padInfo.front,h=u-1-t.padInfo.top,f=c-1-t.padInfo.left,d=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+h+", "+f+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+o+") {\n          float dyD = float(dyDCorner + wD) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+i+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+d+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},_s=function(t,e,n,r,o,a,i){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===a&&(a=null),void 0===i&&(i=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",h=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],d="",p="";a&&(d=i?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",p="result = activation(result);");var v=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+d+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+h[0]+" * "+f[0]+");\n          result += ("+h[1]+" * "+f[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+v+"\n\n        "+p+"\n\n        setOutput(result);\n      }\n    "},Os=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(e-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),Ms=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},Bs=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=Xa("rc",e),r=ui(e),o=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",o=t-2;o<t;o++)r+=n[o]+" >= "+e[o],o<t-1&&(r+="||");return r}(e,t,n),a=function(t,e,n,r){if(1===t)return"";var o=r.slice(-2);return"\n    int r = "+o[0]+";\n    int c = "+o[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),i=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var o=0;o<=1;o++){for(var a=(0===r?"r":"rp1")+", "+(0===o?"c":"cp1"),i=2;i<t;i++)a=e[e.length-1-i]+","+a;n.push(a)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+o+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+i+"));\n          }\n        }\n      "}};var Ps=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));var r=t.length,o=ui(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+o+" start = "+o+"("+a+");\n      "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+o+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+i+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},Ls=function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));for(var r=t.length,o=ui(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=Xa("rc",r),u=Xa("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",h=[o+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+c+") {"],f=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="",p=0,v=1===r?2:4;p<v;p++)d+="\n        "+h[p]+"\n        if ("+f+") {\n          result["+p+"] = float("+n+");\n        } else {\n          "+o+" source = rc - start;\n          result["+p+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";d+=1===r?"} ":"}}",this.userCode="\n      const "+o+" start = "+o+"("+a+");\n      const "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+d+"\n        setOutput(result);\n      }\n    "},Ws=function(t,e,n,r,o){if(void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterHeight,h=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;var p="avg"===e,v="((batch  * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",g="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",m="0.0";if(p||(m="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+s+");\n        const ivec2 pads = ivec2("+f+", "+d+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+l+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+c+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?o?v:g:"wR * "+h+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(y="avgValue / count");var x=4*Math.floor(a/4),b=a%4,w="\n      if ("+p+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+f+", "+d+");\n      const float initializationValue = "+m+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+m+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+l+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+x+"; wC += 4) {\n            int xC = xCCorner + wC * "+c+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              getValue(batch, xR, xC + 3 * "+c+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+x+";\n          if ("+(1===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},Us=function(t,e,n,r,o){if(void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,i=t.strideDepth,s=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,h=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,p=t.effectiveFilterWidth,v=t.padInfo.front,g=t.padInfo.top,m=t.padInfo.left;this.outputShape=t.outShape;var y="avg"===e,x="0.0";if(y||(x="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+i+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+v+", "+g+", "+m+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+f+";\n              wD += "+c+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+d+";\n                wR += "+l+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+p+";\n                  wC += "+h+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?o?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+d+" * "+p+" +\n                      wR * "+p+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var b=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(b="avgValue / count");var w=4*Math.floor(a/4),C=a%4,E="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+i+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+v+", "+g+", "+m+");\n      const float initializationValue = "+x+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+x+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+f+";\n            wD += "+c+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+d+";\n            wR += "+l+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+h+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+h+", ch)\n              );\n\n              "+E+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+E+"\n            } else if ("+(2===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+E+"\n            } else if ("+(3===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                initializationValue\n              );\n\n              "+E+"\n            }\n          }\n          setOutput("+b+");\n        }\n      }\n    "}},Vs=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=Math.ceil(o/n);this.outputShape=[r,a];var i="0.0",s="";"prod"===e?i="1.0":"min"===e?(i="1.0 / 1e-20",s="min"):"max"===e&&(i="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,h="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",f="vec4";"all"===e?(i="1.0",h="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",f="bvec4"):"any"===e&&(i="0.0",h="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",f="bvec4");var d="";o%n>0&&(d="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+i+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+d+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+i+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+h+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(2===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(3===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+h+"\n        }\n        setOutput("+u+");\n      }\n    "},zs=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var o="thisRC = rc;";r%2==1&&(o+="thisRC.z += 1;"),r>1&&(o+="thisRC.y += 1;"),n+="\n        "+o+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+$a(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+Qa(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "};var Gs=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],f=c[1]/l[1],d=1/h,p=1/f,v=2*Math.ceil(d)+2,g=2*Math.ceil(p)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+h+");\n        const float widthScale = float("+f+");\n\n        const float invHeightScale = float("+d+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(o-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Hs=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},qs=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+i+".0,\n                                     "+i+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},Ks=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],f=c[1]/l[1],d=1/h,p=1/f,v=2*Math.ceil(d)+2,g=2*Math.ceil(p)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+h+");\n        const float widthScale = float("+f+");\n\n        const float invHeightScale = float("+d+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+o+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},js=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},Xs=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map((function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),o=ui(n);this.userCode="\n      void main() {\n        "+o+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},Ys=function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=Xa("rc",n),o=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],i=ui(n);function s(n){var r=t.map((function(r,o){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(o,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+o+"){\n              result.g = getChannel(getX("+t[0]+" - (rc  + 1) - 1),\n                "+t[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+i+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(t){return s(t)}(r.slice())+";\n          if("+o+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+o+") {\n              result.a = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},$s=function(t,e,n,r,o,a,i){void 0===i&&(i=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=ui(o.length),u=ui(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",h="";1===r?h="i":2===r&&(h="i, coords[1]");var f="getUpdates("+h+")",d=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+o+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+d+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+f+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},Qs=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=t.numSegments,i=a*Math.ceil(o/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";o%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      ");var h="";o%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+h+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+c+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+c+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+c+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "},Js=function(t,e,n){var r,o;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)o="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],s=[],u=0;u<e.length;u++)s.push(""+a[u]),u<t&&i.push(""+a[u]);r=i.join(),o=s.join()}var c=ui(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+o+"));\n        } else {\n          setOutput(getB("+o+"));\n        }\n      }\n    "},Zs=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=ui(this.rank),r="uniform int start["+this.rank+"];",o=function(t){if(1===t)return"sourceLoc";if(t<=6)return tu.slice(0,t).map((function(t){return"sourceLoc."+t})).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map((function(t,e){return"sourceLoc."+tu[e]+" = start["+e+"] + coords."+tu[e]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+o+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),tu=["x","y","z","w","u","v"];var eu=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=ui(this.rank),n=Xa("coords",this.rank),r=Xa("sourceLoc",this.rank),o=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+o+")",i="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map((function(t,e){return"start["+e+"]"})).join()+");":t.map((function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"})).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+i+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),nu=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,o=ui(n.length),a=ui(n.length),i="";if(1===r)i="coords * strides + begin";else{var s=0;i=n.map((function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"})).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+t+");\n      "+o+" strides = "+o+"("+e+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+i+"));\n      }\n    "},ru=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,o=ou(e,n),a=au(t,o,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var i=this.freeTextures[a].shift();return this.usedTextures[a].push(i),i}return this.numUsedTextures++,this.log(),o===Gt.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Gt.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Gt.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Gt.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Gt.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var o=au(e,ou(n,r),r);o in this.freeTextures||(this.freeTextures[o]=[]),this.freeTextures[o].push(t),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[o],i=a.indexOf(t);if(i<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(i,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));for(var e in this.usedTextures)this.usedTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function ou(t,e){if(t===zt.UPLOAD)return Gt.PACKED_2X2_FLOAT32;if(t===zt.RENDER||null==t)return function(t){return i().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?Gt.PACKED_2X2_FLOAT32:Gt.UNPACKED_FLOAT32:t?Gt.PACKED_2X2_FLOAT16:Gt.UNPACKED_FLOAT16}(e);if(t===zt.DOWNLOAD||t===zt.PIXELS)return Gt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function au(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var iu=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var o=ui(this.rank),a=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],o=0;o<t.length;o++)r.push("imod("+n[o]+", "+t[o]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var su=1.7580993408473768,uu=1.0507009873554805,cu=function(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        "+e+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},lu="if (isnan(x)) return x;",hu="return x;",fu="return abs(x);",du=lu+"\n  return (x < 0.0) ? 0.0 : x;\n",pu=lu+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",vu="return (x >= 0.0) ? x : (exp(x) - 1.0);",gu="\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = "+su+";\n  float scale = "+uu+";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n";var mu="return -x;",yu="return ceil(x);",xu="return floor(x);",bu="return exp(x);",wu="return exp(x) - 1.0;",Cu=lu+"\n  return sin(x);\n",Eu=lu+"\n  return cos(x);\n",Ru=lu+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n",Iu=lu+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n",ku=lu+"\n  return atan(x);\n",Su=lu+"return log(x + sqrt(x * x + 1.0));",Au=lu+"\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));",Tu=lu+"\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;",Du="return x;",Nu="return x;",Fu="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",_u="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",Ou="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",Mu=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Bu=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=Xa("rc",e),r=ui(e),o=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),a=n.slice(-2),i=e<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+o+");\n\n        setOutput(getChannel(packedInput, "+i+"));\n      }\n    "},Pu={};function Lu(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?Nu:hu;if("relu"===t)return e?Fu:du;if("elu"===t)return e?Ou:vu;if("relu6"===t)return e?_u:pu;if("prelu"===t)return e?ki:Ei;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var Wu=600;var Uu=function(t){function o(e){var n,r=t.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!i().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var o=jt(i().getNumber("WEBGL_VERSION"));r.binaryCache=(n=i().getNumber("WEBGL_VERSION"))in Pu?Pu[n]:(Pu[n]={},Pu[n]),r.gpgpu=new Is(o),r.canvas=o.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new ru(r.gpgpu),r.numMBBeforeWarning=null==i().global.screen?1024:i().global.screen.height*i().global.screen.width*window.devicePixelRatio*Wu/1024/1024,r.texData=new ca(r,Lt),r}return e(o,t),o.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},o.prototype.write=function(t,e,n){if(i().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:zt.UPLOAD}),r},o.prototype.move=function(t,e,n,r){if(i().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:zt.UPLOAD})},o.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,o=e.complexTensors,a=e.slice,i=e.shape,s=e.isPacked;if(null!=a){var u=void 0;u=s?new Mu(i,Du):new cu(i,Du);var c=this.runWebGLProgram(u,[{dataId:t,shape:i,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var h,f,d=null!=this.activeTimers;(d&&(h=et()),"complex64"===r)?f=Aa(o.real.dataSync(),o.imag.dataSync()):f=this.getValuesFromTexture(t);return d&&(this.downloadWaitMs+=et()-h),this.convertAndCacheOnCPU(t,f)},o.prototype.read=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,s,u,c,l,h,f,d,p,v,g,m,y,x,b,w,C,E,R;return r(this,(function(r){switch(r.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise((function(t){return e.push(t)}))];if(n=this.texData.get(t),o=n.values,a=n.shape,s=n.slice,u=n.dtype,c=n.complexTensors,l=n.isPacked,null!=s)return h=void 0,h=l?new Mu(a,Du):new cu(a,Du),f=this.runWebGLProgram(h,[{dataId:t,shape:a,dtype:u}],u),d=this.read(f.dataId),this.disposeData(f.dataId),[2,d];if(null!=o)return[2,this.convertAndCacheOnCPU(t)];if(!i().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===i().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==u&&i().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),g=this.texData.get(v.dataId),p=(R=this.gpgpu).createBufferFromTexture.apply(R,[g.texture].concat(Yt(a)))),this.pendingRead.set(t,[]),"complex64"===u?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:r.sent(),r.label=2;case 2:return"complex64"!==u?[3,4]:[4,Promise.all([c.real.data(),c.imag.data()])];case 3:return y=r.sent(),x=y[0],b=y[1],m=Aa(x,b),[3,5];case 4:null==p?m=this.getValuesFromTexture(t):(w=k(a),m=this.gpgpu.downloadFloat32MatrixFromBuffer(p,w)),r.label=5;case 5:return null!=v&&this.disposeData(v.dataId),C=this.convertAndCacheOnCPU(t,m),E=this.pendingRead.get(t),this.pendingRead.delete(t),E.forEach((function(t){return t(C)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,C]}}))}))},o.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!ee(n)){if(i().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},o.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.isPacked,s=k(r);if(i().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(t),c=this.texData.get(u.dataId),l=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[c.texture].concat(Yt(r))).subarray(0,s);return this.disposeData(u.dataId),l}var h=i().getBool("WEBGL_PACK")&&!0===a,f=h?De(r):r,d=h?new Ji(f):new Qi(f),p=this.runWebGLProgram(d,[{shape:f,dtype:o,dataId:t}],"float32"),v=this.texData.get(p.dataId),g=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(v.texture,v.texShape[0],v.texShape[1]).subarray(0,s);return this.disposeData(p.dataId),g},o.prototype.time=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,s,u,c;return r(this,(function(r){switch(r.label){case 0:return e=this.activeTimers,n=[],o=!1,null==this.programTimersStack?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t(),a=I(this.activeTimers.map((function(t){return t.query}))).filter((function(t){return null!=t})),s=I(this.activeTimers.map((function(t){return t.name}))).filter((function(t){return null!=t})),this.activeTimers=e,o&&(this.programTimersStack=null),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(a)]:[3,2];case 1:return c=r.sent(),u.kernelMs=w(c),u.getExtraProfileInfo=function(){return c.map((function(t,e){return{name:s[e],ms:t}})).map((function(t){return t.name+": "+t.ms})).join(", ")},[3,3];case 2:u.kernelMs={error:"WebGL query timers are not supported in this environment."},r.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}}))}))},o.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},o.prototype.startTimer=function(){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:et(),endMs:null}},o.prototype.endTimer=function(t){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=et(),t)},o.prototype.getQueryTime=function(t){return n(this,void 0,void 0,(function(){var e;return r(this,(function(n){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]}))}))},o.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}}},o.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,o=e.texShape,a=e.usage,i=e.isPacked,s=e.slice,u=s&&s.origDataId||t,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(o,r),this.textureManager.releaseTexture(n,o,a,i)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},o.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},o.prototype.getDataInfo=function(t){return this.texData.get(t)},o.prototype.getCPUBackend=function(){return i().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Lt.findBackend("cpu")),this.cpuBackend):null},o.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every((function(t){return null==n.texData.get(t.dataId).texture&&k(t.shape)<e}))},o.prototype.getGPGPUContext=function(){return this.gpgpu},o.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Lt.keep(t.clone()),imag:Lt.keep(e.clone())},n},o.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},o.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},o.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===k(n))return Fn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,o=$o(t.shape,e,n);if(r||!o){var a=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new eu(n):new Zs(n),s=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,s)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},o.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),o=this.makeOutput(n,t.dtype),a=this.texData.get(o.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var i=Qo(e,t.strides);r.slice&&(i+=r.slice.flatOffset),a.slice={flatOffset:i,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),o},o.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var o=jo(e,n,r);if(o.some((function(t){return 0===t})))return Fn([],o);var a=new nu(e,r,o);return this.compileAndRun(a,[t])},o.prototype.reverse=function(t,e){var n=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ys(t.shape,e):new Xs(t.shape,e);return this.compileAndRun(n,[t])},o.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map((function(t){return Dn(t)})),r=t.map((function(t){return Nn(t)}));return Tn(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>i().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var o=Math.floor(t.length/2),a=this.concat(t.slice(0,o),e),s=this.concat(t.slice(o),e);return this.concat([a,s],e)}if(i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var u=new Fi(t.map((function(t){return t.shape})),e);return this.compileAndRun(u,t)}var c=Sn(t.map((function(t){return t.shape})),e),l=t.map((function(t){return t.as2D(-1,k(t.shape.slice(e)))})),h=new Ni(l.map((function(t){return t.shape})));return this.compileAndRun(h,l).reshape(c)},o.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,mu,t.dtype);var e=new cu(t.shape,mu);return this.compileAndRun(e,[t])},o.prototype.batchMatMul=function(t,e,n,r){var o=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],i=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===o||1===a)&&i>1e3){n&&(t=ua(t,[0,2,1])),r&&(e=ua(e,[0,2,1]));var u=1===a?t:t.as3D(s,i,1),c=1===a?2:1,l=1===a?e.as3D(s,1,i):e;return this.multiply(u,l).sum(c,!0)}var h=Tt(t.dtype,e.dtype),f=new _s(t.shape,[s,o,a],n,r);return this.compileAndRun(f,[t,e],h)},o.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],c=o?n.shape[1]:n.shape[2],l=e.shape[0],h=Tt(e.dtype,n.dtype),f=null!=a,d=null!=s,p=i?Lu(i,!0):null,v=new _s(e.shape,[l,u,c],r,o,f,p,d),g=[e,n];return a&&g.push(a),s&&g.push(s),this.compileAndRun(v,g,h)},o.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),o=new yi(gi,t.shape,e.shape),a=new yi(mi,t.shape,e.shape),s=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],u=this.compileAndRun(o,s),c=this.compileAndRun(a,s),l=this.complex(u,c);return u.dispose(),c.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,wi,t.dtype);var h=new Ri(wi,t.shape,e.shape);return this.compileAndRun(h,[t,e],t.dtype)},o.prototype.batchNormalization=function(t,e,n,r,o,a){var s=[t,e,n],u=null;null!=a&&(u=a.shape,s.push(a));var c=null;if(null!=o&&(c=o.shape,s.push(o)),i().getBool("WEBGL_PACK_NORMALIZATION")){var l=new vi(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(l,s)}var h=new pi(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(h,s)},o.prototype.localResponseNormalization4D=function(t,e,n,r,o){var a=i().getBool("WEBGL_PACK_NORMALIZATION")?new Ds(t.shape,e,n,r,o):new As(t.shape,e,n,r,o);return this.compileAndRun(a,[t])},o.prototype.LRNGrad=function(t,e,n,r,o,a,i){var s=new Ts(e.shape,r,o,a,i);return this.compileAndRun(s,[e,n,t])},o.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map((function(t){return ot(t)}));return Va(er(t.shape,t.dtype,n),e)}var r=new iu(t.shape,e);return this.compileAndRun(r,[t])},o.prototype.pad=function(t,e,n){var r=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ls(t.shape,e,n):new Ps(t.shape,e,n);return this.compileAndRun(r,[t])},o.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new as(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},o.prototype.batchToSpaceND=function(t,e,n){C(t.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=pr(t.shape,e,r),a=vr(o.length,e.length),i=gr(t.shape,e,r),s=mr(n,e.length),u=yr(i,n,e.length);return ua(t.reshape(o),a).reshape(i).slice(s,u)},o.prototype.spaceToBatchND=function(t,e,n){C(t.rank<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=pr(i.shape,e,r,!1),u=vr(s.length,e.length,!1),c=gr(i.shape,e,r,!1);return ua(i.reshape(s),u).reshape(c)},o.prototype.reduce=function(t,e,n){var r=t.shape[0],o=t.shape[1],a=Uo(o),i=new Vs({windowSize:a,inSize:o,batchSize:r},e),s=this.compileAndRun(i,[t],n);return 1===s.shape[1]?s:this.reduce(s,e,n)},o.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],o=t.shape[1];null!=n&&(r=n.shape[0],o=n.shape[1]);var a=Uo(o),i=new Ka({windowSize:a,inSize:o,batchSize:r},e,null==n),s=[t];null!=n&&s.push(n);var u=this.compileAndRun(i,s,"int32");return 1===u.shape[1]?u:this.argReduce(t,e,u)},o.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,o=Uo(r[r.length-1]),a=new hi(r,o,e,null==n),i=null==n?[t]:[t,n],s=this.compileAndRun(a,i,"int32");return s.rank===t.rank?this.argReducePacked(t,e,s):s},o.prototype.sum=function(t,e){Cn("sum",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o),i=Dt(t.dtype);return this.reduce(a,"sum",i).reshape(r)},o.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o),i=Dt(t.dtype);return this.reduce(a,"prod",i).reshape(r)},o.prototype.unsortedSegmentSum=function(t,e,n){var r=0,o=En([r],t.rank),a=t;null!=o&&(a=ua(t,o),r=In(1,t.rank)[0]);var i=function(t,e,n){for(var r=[],o=t.length,a=0;a<o;a++)a!==e?r.push(t[a]):r.push(n);return r}(a.shape,r,n),s=k([a.shape[r]]),u=a.as2D(-1,s),c=Dt(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(i);return null!=o&&(l=ua(l,Rn(o))),l},o.prototype.segOpCompute=function(t,e,n,r,o){var a=t.shape[0],i=t.shape[1],s=function(t,e){var n,r=!1;for(t<=Wo?(n=t,r=!0):n=Y(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=Y(t,n+1);return n}(i,o),u=new Qs({windowSize:s,inSize:i,batchSize:a,numSegments:o},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===o?c:(n=Kn(0,o).tile([i/s]),this.segOpCompute(c,e,n,r,o))},o.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(Cn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!i().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var o=bn(t.shape,r),a=o[0],s=k(o[1]),u=t.as2D(-1,s);return this.argReduce(u,n).reshape(a)}return this.argReducePacked(t,n)},o.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},o.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},o.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var o=new qi(t.shape,n,r);return this.compileAndRun(o,[t])},o.prototype.equal=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Ri("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.notEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Ri("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Ri("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.lessEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Ri("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Ri("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.greaterEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Ri("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.logicalNot=function(t){var e=new cu(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},o.prototype.logicalAnd=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new Ri("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.logicalOr=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new Ri("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.select=function(t,e,n){var r=new Js(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],Tt(e.dtype,n.dtype))},o.prototype.where=function(t){dn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return Ga(t.shape,e)},o.prototype.topk=function(t,e,n){return za(t.dataSync(),t.shape,t.dtype,e)},o.prototype.min=function(t,e){Cn("min",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"min",a.dtype).reshape(r)},o.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.mod=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);Cn("max",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"max",a.dtype).reshape(r)},o.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.all=function(t,e){Cn("all",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"all",a.dtype).reshape(r)},o.prototype.any=function(t,e){Cn("any",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"any",a.dtype).reshape(r)},o.prototype.floorDiv=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new Ri("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",t.shape,e.shape);return this.compileAndRun(n,[t,e],"int32")},o.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,xi);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=Tt(t.dtype,e.dtype);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,xi,n);var r=new Ri(xi,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},o.prototype.packedUnaryOp=function(t,e,n){var r=new Mu(t.shape,e);return this.compileAndRun(r,[t],n)},o.prototype.packedBinaryOp=function(t,e,n,r,o){void 0===o&&(o=!1);var a=new Si(n,t.shape,e.shape,o);return this.compileAndRun(a,[t,e],r)},o.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,o=this.texData.get(t.dataId),a=this.texData.get(e.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map((function(o){var a=o[0],i=o[1],s=r.makeComplexComponentTensorInfo(t,a),u=r.makeComplexComponentTensorInfo(e,i),c=new Ri(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],Tt(a.dtype,i.dtype))})),s=i[0],u=i[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},o.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},o.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>i().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var o=t.map((function(t){return t.dtype})).reduce((function(t,e){return Tt(t,e)})),a=t.map((function(t){return t.shape})),s=i().getBool("WEBGL_PACK")?new qa(t[0].shape,a):new Ha(t[0].shape,a);return this.compileAndRun(s,t,o)},o.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,bi);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=Tt(t.dtype,e.dtype);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,bi,t.dtype);var r=new Ri(bi,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},o.prototype.pow=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=Tt(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},o.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,yu,t.dtype);var e=new cu(t.shape,yu);return this.compileAndRun(e,[t])},o.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,xu,t.dtype);var e=new cu(t.shape,xu);return this.compileAndRun(e,[t])},o.prototype.sign=function(t){var e=new cu(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},o.prototype.isNaN=function(t){var e=new cu(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.isInf=function(t){var e=new cu(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.isFinite=function(t){var e=new cu(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.round=function(t){var e=new cu(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},o.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,bu,t.dtype);var e=new cu(t.shape,bu);return this.compileAndRun(e,[t])},o.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,wu,t.dtype);var e=new cu(t.shape,wu);return this.compileAndRun(e,[t])},o.prototype.softmax=function(t,e){var n=O([e],t.shape),r=this.max(t,n),o=wn(r.shape,n),a=this.subtract(t,r.reshape(o)),i=this.exp(a),s=this.sum(i,n).reshape(o);return Bo(i,s)},o.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",t.dtype);var e=new cu(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},o.prototype.log1p=function(t){var e=new cu(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},o.prototype.sqrt=function(t){var e=new cu(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},o.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new cu(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},o.prototype.reciprocal=function(t){var e=new cu(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},o.prototype.relu=function(t){var e;return e=i().getBool("WEBGL_PACK")?new Mu(t.shape,Fu):new cu(t.shape,du),this.compileAndRun(e,[t])},o.prototype.relu6=function(t){var e;return e=i().getBool("WEBGL_PACK")?new Mu(t.shape,_u):new cu(t.shape,pu),this.compileAndRun(e,[t])},o.prototype.prelu=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si(ki,t.shape,e.shape):new Ri(Ei,t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.elu=function(t){if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Ou,t.dtype);var e=new cu(t.shape,vu);return this.compileAndRun(e,[t])},o.prototype.eluDer=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new Ri("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.selu=function(t){var e=new cu(t.shape,gu);return this.compileAndRun(e,[t])},o.prototype.int=function(t){var e=new cu(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},o.prototype.clip=function(t,e,n){var r,o=(r=i().getBool("WEBGL_PACK_CLIP")?new Ti(t.shape):new Ai(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,o)},o.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,fu,t.dtype);var e=new cu(t.shape,fu);return this.compileAndRun(e,[t])},o.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Di(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},o.prototype.sigmoid=function(t){var e=new cu(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},o.prototype.softplus=function(t){var e=new cu(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},o.prototype.sin=function(t){var e=new cu(t.shape,Cu);return this.compileAndRun(e,[t])},o.prototype.cos=function(t){var e=new cu(t.shape,Eu);return this.compileAndRun(e,[t])},o.prototype.tan=function(t){var e=new cu(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},o.prototype.asin=function(t){var e=new cu(t.shape,Ru);return this.compileAndRun(e,[t])},o.prototype.acos=function(t){var e=new cu(t.shape,Iu);return this.compileAndRun(e,[t])},o.prototype.atan=function(t){var e=new cu(t.shape,ku);return this.compileAndRun(e,[t])},o.prototype.atan2=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.sinh=function(t){var e=new cu(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},o.prototype.cosh=function(t){var e=new cu(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},o.prototype.tanh=function(t){var e=new cu(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},o.prototype.asinh=function(t){var e=new cu(t.shape,Su);return this.compileAndRun(e,[t])},o.prototype.acosh=function(t){var e=new cu(t.shape,Au);return this.compileAndRun(e,[t])},o.prototype.atanh=function(t){var e=new cu(t.shape,Tu);return this.compileAndRun(e,[t])},o.prototype.erf=function(t){var e=new cu(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(e,[t])},o.prototype.step=function(t,e){var n=new cu(t.shape,function(t){return void 0===t&&(t=0),lu+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},o.prototype.conv2dByMatMul=function(t,e,n,r,o,a){var s=t.shape,u=this.texData.get(t.dataId),c=n.inChannels,l=s[0]*s[1]*s[2],h=n.outChannels,f="channelsLast"===n.dataFormat,d=(1===l||1===h)&&c>1e3,p=s[2]%2!=0&&!!u.isPacked;if(d||!i().getBool("WEBGL_LAZILY_UNPACK")||!i().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!p){var v=f?s[0]*s[1]*s[2]:s[0]*s[2]*s[3],g=this.reshape(t,[1,v,n.inChannels]),m=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:g,b:m,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),n.outShape)}var y=f?s[0]*s[1]*(s[2]+1):s[0]*s[2]*(s[3]+1),x={dataId:t.dataId,shape:[1,y,n.inChannels],dtype:t.dtype},b=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,C(_e(u.shape,x.shape),(function(){return"packed reshape "+u.shape+" to "+x.shape+" isn't free"}));var w=this.reshape(e,[1,n.inChannels,n.outChannels]),E=this.fusedBatchMatMul({a:x,b:w,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),R=this.texData.get(E.dataId);return C(R.isPacked,(function(){return"batchMatMul result is expected to be packed"})),u.shape=b,R.shape=n.outShape,Lt.makeTensorFromDataId(E.dataId,n.outShape,E.dtype)},o.prototype.conv2dWithIm2Row=function(t,e,n,r,o,a){var i=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,h="channelsLast"===n.dataFormat,f=i*s*u,d=l*c,p=[f,d],v=t.squeeze([0]),g=e.reshape([1,f,-1]),m=new Ss(p,v.shape,n),y=this.compileAndRun(m,[v]).reshape([1,p[0],p[1]]),x=null!=r,b=null!=a,w=o?Lu(o,!0):null,C=new _s(y.shape,[1,d,n.outChannels],!0,!1,x,w,b),E=[y,g];r&&E.push(r),b&&E.push(a);var R=this.compileAndRun(C,E);return h?R.reshape([1,l,c,n.outChannels]):R.reshape([1,n.outChannels,l,c])},o.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,s=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,o,a,s);if(i().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,o,a,s);var u=null!=o,c=null!=s,l=a?Lu(a,!1):null,h=new Ui(r,u,l,c),f=[e,n];return o&&f.push(o),s&&f.push(s),this.compileAndRun(h,f)},o.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(i().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new Ui(n);return this.compileAndRun(r,[t,e])},o.prototype.conv2dDerInput=function(t,e,n){var r=new Mi(n);return this.compileAndRun(r,[t,e])},o.prototype.conv2dDerFilter=function(t,e,n){var r=new Oi(n);return this.compileAndRun(r,[t,e])},o.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,o=t.convInfo,a=t.bias,s=t.activation,u=t.preluActivationWeights,c=i().getBool("WEBGL_PACK_DEPTHWISECONV")&&o.strideWidth<=2&&o.outChannels/o.inChannels==1,l=s?Lu(s,c):null,h=[n,r],f=null!=a,d=null!=u;return f&&h.push(a),d&&h.push(u),c?(e=new Gi(o,f,l,d),this.compileAndRun(e,h)):(e=new zi(o,f,l,d),this.compileAndRun(e,h))},o.prototype.depthwiseConv2D=function(t,e,n){var r;return i().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new Gi(n),this.compileAndRun(r,[t,e])):(r=new zi(n),this.compileAndRun(r,[t,e]))},o.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new Wi(n);return this.compileAndRun(r,[t,e])},o.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Li(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3d=function(t,e,n){var r=new Vi(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3dDerInput=function(t,e,n){var r=new Pi(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3dDerFilter=function(t,e,n){var r=new Bi(n);return this.compileAndRun(r,[t,e])},o.prototype.maxPool=function(t,e){var n=new Ws(e,"max",!1);return this.compileAndRun(n,[t])},o.prototype.avgPool=function(t,e){var n=new Ws(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.maxPoolBackprop=function(t,e,n,r){var o=new Ws(r,"max",!0),a=this.compileAndRun(o,[e]),i=new Ns(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},o.prototype.avgPoolBackprop=function(t,e,n){var r=new fi(n);return this.compileAndRun(r,[t],e.dtype)},o.prototype.cast=function(t,e){return Ra(t,e,this)},o.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),o=0,a=0;a<t.rank;a++)a!==e&&(r[o++]=t.shape[a]);var i=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)i[e]=a,u[a]=this.slice(t,i,s).reshape(r);return u},o.prototype.avgPool3d=function(t,e){var n=new Us(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.avgPool3dBackprop=function(t,e,n){var r=new di(n);return this.compileAndRun(r,[t],e.dtype)},o.prototype.maxPool3d=function(t,e){var n=new Us(e,"max",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.maxPool3dBackprop=function(t,e,n,r){var o=new Us(r,"max",!0),a=this.compileAndRun(o,[e]),i=new Fs(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},o.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!_e(t.shape,e)&&(null===n.texture||!_e(n.shape,e))){var r=this.packedReshape(t,e);return Lt.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return Ia(t,e)},o.prototype.resizeBilinear=function(t,e,n,r){var o=i().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new qs(t.shape,e,n,r):new Hs(t.shape,e,n,r);return this.compileAndRun(o,[t],"float32")},o.prototype.resizeBilinearBackprop=function(t,e,n){var r=new Gs(t,e,n);return this.compileAndRun(r,[t])},o.prototype.resizeNearestNeighbor=function(t,e,n,r){var o=new js(t.shape,e,n,r);return this.compileAndRun(o,[t])},o.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new Ks(t,e,n);return this.compileAndRun(r,[t])},o.prototype.multinomial=function(t,e,n,r){var o=e?t:ia(t),a=o.shape[0],i=o.shape[1],s=new Os(a,i,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[o],"int32",u)},o.prototype.oneHot=function(t,e,n,r){var o=new Ms(t.size,e,n,r);return this.compileAndRun(o,[t])},o.prototype.diag=function(t){var e=new $i(t.size);return this.compileAndRun(e,[t])},o.prototype.nonMaxSuppression=function(t,e,n,r,o){return dn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Oa(t.dataSync(),e.dataSync(),n,r,o)},o.prototype.cropAndResize=function(t,e,n,r,o,a){var i=new Hi(t.shape,e.shape,r,o,a);return this.compileAndRun(i,[t,e,n],"float32")},o.prototype.depthToSpace=function(t,e,n){C(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));var r=t.shape[0],o="NHWC"===n?t.shape[1]:t.shape[2],a="NHWC"===n?t.shape[2]:t.shape[3],i="NHWC"===n?t.shape[3]:t.shape[1],s=o*e,u=a*e,c=i/(e*e),l=new Yi("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},o.prototype.split=function(t,e,n){return Ua(t,e,n)},o.prototype.scatterND=function(t,e,n){var r=Go(0,t,n),o=r.sliceRank,a=r.numUpdates,i=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/i,i],l=t.reshape([a,o]),h=e.reshape([a,i]);if(0===u)return Ia(Fn([]),n);var f=On(0),d=new $s(a,o,l.rank,h.rank,s,c);return this.compileAndRun(d,[h,l,f]).reshape(n)},o.prototype.sparseToDense=function(t,e,n,r){var o=Go(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.strides,u=o.outputSize,c=new $s(i,a,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},o.prototype.fft=function(t){return this.fftImpl(t,!1)},o.prototype.ifft=function(t){return this.fftImpl(t,!0)},o.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new rs(es,t.shape,e),o=new rs(ns,t.shape,e),a=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag)],i=this.compileAndRun(r,a),s=this.compileAndRun(o,a),u=this.complex(i,s).as2D(t.shape[0],t.shape[1]);return i.dispose(),s.dispose(),u},o.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=Po(t,e),a=o[0],i=o[1],s=o[2],u=o[3],c=e.reshape([i,r]),l=t.reshape([t.size/s,s]),h=new is(r,u,[i,s]);return this.compileAndRun(h,[l,c]).reshape(a)},o.prototype.fill=function(t,e,n){if("string"===(n=n||j(e))){var r=P(n,k(t));return r.fill(e),Lt.makeTensor(r,t,n,this)}var o=new os(t,e),a=o.getCustomSetupFunc(e);return this.compileAndRun(o,[],n,a)},o.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},o.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},o.prototype.linspace=function(t,e,n){return ka(t,e,n)},o.prototype.makeTensorInfo=function(t,e){var n=this.write(null,t,e);return this.texData.get(n).usage=null,{dataId:n,shape:t,dtype:e}},o.prototype.makeOutput=function(t,e){var n=this.makeTensorInfo(t,e).dataId;return Lt.makeTensorFromDataId(n,t,e,this)},o.prototype.unpackTensor=function(t){var e=new Bu(t.shape);return this.runWebGLProgram(e,[t],t.dtype)},o.prototype.packTensor=function(t){var e=new Bs(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)},o.prototype.packedReshape=function(t,e){var n=[Ae(t.shape)].concat(Te(t.shape)),r={dtype:t.dtype,shape:n,dataId:t.dataId},o=[Ae(e)].concat(Te(e)),a=new zs(o,n),i=this.runWebGLProgram(a,[r],t.dtype,null,!0);return{dataId:i.dataId,shape:e,dtype:i.dtype}},o.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,o=n.shape,a=n.dtype,i=De(o);e=r?new Xi(i):new ji(i);return{dtype:a,shape:o,dataId:this.runWebGLProgram(e,[{shape:i,dtype:a,dataId:t}],a,null,!0).dataId}},o.prototype.runWebGLProgram=function(t,e,n,r,o){var a=this;void 0===o&&(o=!1);var s=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(s.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===Vt.DENSE){var c=Yt(t.outputShape);u.texShape=c.map((function(t){return 2*t}))}if(null!=t.outTexUsage&&(u.usage=t.outTexUsage),0===k(s.shape))return u.values=B(s.dtype,0),s;var l=[],h=e.map((function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. 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Nn(t)}));return Tn(this.concat(r,e),this.concat(o,e))}var a=t.map((function(t){var n=k(t.shape.slice(e));return t.as2D(-1,n)})),i=Sn(a.map((function(t){return t.shape})),1),s=er(i,t[0].dtype).values;if(1===a[0].shape[0]){var u=0;a.forEach((function(t){s.set(n.readSync(t.dataId),u),u+=t.size}))}else{var c=0;a.forEach((function(t){for(var e=n.readSync(t.dataId),r=0,o=0;o<t.shape[0];++o)for(var a=o*i[1]+c,u=0;u<t.shape[1];++u)s[a+u]=e[r++];c+=t.shape[1]}))}var l=Sn(t.map((function(t){return t.shape})),e);return Fn(s,l,t[0].dtype)},o.prototype.neg=function(t){return df(t,"neg"),this.multiply(On(-1),t)},o.prototype.add=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),(function(t,e,n,r){return{real:t+n,imag:e+r}})):this.broadcastedBinaryOp(t,e,Tt(t.dtype,e.dtype),(function(t,e){return t+e}))},o.prototype.addN=function(t){var e=this;df(t,"addN");for(var n=t.map((function(t){return 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o=n?t.shape[1]:t.shape[2],a=n?t.shape[2]:t.shape[1],i=r?e.shape[1]:e.shape[2],s=t.shape[0],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],h=l[0],f=l[1],d=l[2],p=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],v=p[0],g=p[1],m=p[2],y=a*i,x=er([s,a,i],t.dtype),b=x.values,w=this.blockSize,C=0;C<s;C++)for(var E=0;E<a;E+=w)for(var R=0;R<i;R+=w)for(var I=0;I<o;I+=w)for(var k=Math.min(E+w,a),S=Math.min(R+w,i),A=Math.min(I+w,o),T=E;T<k;T++)for(var D=R;D<S;D++){for(var N=0,F=I;F<A;F++)N+=u[C*h+T*f+F*d]*c[F*v+D*g+C*m];b[C*y+(T*i+D)]+=N}return x.toTensor()},o.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=this.batchMatMul(e,n,r,o);return a&&(u=this.add(u,a)),i&&(u=gf(this,u,i,s)),u},o.prototype.multiply=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),(function(t,e,n,r){return{real:t*n-e*r,imag:t*r+e*n}})):this.broadcastedBinaryOp(t,e,Tt(t.dtype,e.dtype),(function(t,e){return t*e}))},o.prototype.floorDiv=function(t,e){df([t,e],"floorDiv");return this.broadcastedBinaryOp(t,e,"int32",(function(t,e){return Math.floor(t/e)}))},o.prototype.sum=function(t,e){df(t,"sum"),Cn("sum",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,Tt(t.dtype,"int32")),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=0,f=0;f<i;++f)h+=u[l+f];s[c]=h}return a},o.prototype.prod=function(t,e){df(t,"sum");for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,Tt(t.dtype,"int32")),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=1,f=0;f<i;++f)h*=u[l+f];s[c]=h}return a},o.prototype.unsortedSegmentSum=function(t,e,n){df(t,"unsortedSegmentSum");for(var r=[],o=t.rank-e.rank,a=0;a<o;++a)e=e.expandDims(a+1);for(a=0;a<n;++a){var i=On(a,"int32"),s=Kc(i,e).asType("float32").mul(t).sum(0);r.push(s)}return hr(r)},o.prototype.argMin=function(t,e){df(t,"argMin");var n=[e];Cn("argMin",n,t.rank);for(var r=bn(t.shape,n),o=r[0],a=r[1],i=Gn(o,"int32"),s=k(a),u=this.readSync(i.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var h=l*s,f=c[h],d=0,p=0;p<s;++p){var v=c[h+p];v<f&&(f=v,d=p)}u[l]=d}return i},o.prototype.argMax=function(t,e){df(t,"argMax");var n=[e];Cn("argMax",n,t.rank);for(var r=bn(t.shape,n),o=r[0],a=r[1],i=Gn(o,"int32"),s=k(a),u=this.readSync(i.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var h=l*s,f=c[h],d=0,p=0;p<s;++p){var v=c[h+p];v>f&&(f=v,d=p)}u[l]=d}return i},o.prototype.cumsum=function(t,e,n,r){if(df(t,"cumsum"),e!==t.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(t.rank-1)+" but got axis="+e);for(var o=Tt(t.dtype,"int32"),a=Gn(t.shape,o),i=this.readSync(a.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],c=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},l=0;l<s.length;l+=u)for(var h=0;h<u;h++){var f=c(l,h);if(0===h)i[f]=n?0:s[f];else{var d=c(l,h-1);i[f]=n?s[d]+i[d]:s[f]+i[d]}}return a},o.prototype.equal=function(t,e){return df([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t===e?1:0}))},o.prototype.notEqual=function(t,e){return df([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t!==e?1:0}))},o.prototype.less=function(t,e){return df([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t<e?1:0}))},o.prototype.lessEqual=function(t,e){return df([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t<=e?1:0}))},o.prototype.greater=function(t,e){return df([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t>e?1:0}))},o.prototype.greaterEqual=function(t,e){return df([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t>=e?1:0}))},o.prototype.logicalNot=function(t){df(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return this.makeOutput(n,t.shape,"bool")},o.prototype.logicalAnd=function(t,e){return df([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t&&e}))},o.prototype.logicalOr=function(t,e){return df([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t||e}))},o.prototype.select=function(t,e,n){df([t,e,n],"select");for(var r=this.readSync(t.dataId),o=this.readSync(e.dataId),a=this.readSync(n.dataId),i=Gn(e.shape,Tt(e.dtype,n.dtype)),s=this.readSync(i.dataId),u=0,c=0===t.rank||t.rank>1||1===e.rank?1:k(e.shape.slice(1)),l=0;l<r.length;l++)for(var h=0;h<c;h++)1===r[l]?s[u++]=o[l]:s[u++]=a[l];return i},o.prototype.where=function(t){df([t],"where");var e=this.readSync(t.dataId);return Ga(t.shape,e)},o.prototype.topk=function(t,e,n){return df(t,"topk"),za(this.readSync(t.dataId),t.shape,t.dtype,e)},o.prototype.min=function(t,e){df(t,"min"),Cn("min",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];d<h&&(h=d)}s[c]=h}return a},o.prototype.minimum=function(t,e){return df([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.min(t,e)}))},o.prototype.mod=function(t,e){return df([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){var n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e}))},o.prototype.max=function(t,e){df(t,"max"),Cn("max",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];d>h&&(h=d)}s[c]=h}return a},o.prototype.maximum=function(t,e){return df([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.max(t,e)}))},o.prototype.all=function(t,e){df(t,"all"),Cn("all",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];h=h&&d}s[c]=h}return a},o.prototype.any=function(t,e){df(t,"any"),Cn("any",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];h=h||d}s[c]=h}return a},o.prototype.squaredDifference=function(t,e){return df([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){var n=t-e;return n*n}))},o.prototype.ceil=function(t){df(t,"ceil");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.ceil(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.floor=function(t){df(t,"floor");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.floor(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.sign=function(t){df(t,"x");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)e[r]<0?n[r]=-1:e[r]>0?n[r]=1:n[r]=0;return this.makeOutput(n,t.shape,"float32")},o.prototype.isNaN=function(t){df(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isNaN(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.isInf=function(t){df(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Math.abs(e[r])===1/0&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.isFinite=function(t){df(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isFinite(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.round=function(t){df(t,"round");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=Math.floor(e[r]);e[r]-o<.5?n[r]=Math.floor(e[r]):e[r]-o>.5?n[r]=Math.ceil(e[r]):n[r]=o%2==0?o:o+1}return this.makeOutput(n,t.shape,"float32")},o.prototype.exp=function(t){df(t,"exp");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.exp(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.expm1=function(t){df(t,"expm1");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.expm1(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.log=function(t){df(t,"log");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.log1p=function(t){df(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log1p(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.sqrt=function(t){df(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.rsqrt=function(t){df(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=1/Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.reciprocal=function(t){df(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return this.makeOutput(n,t.shape,"float32")},o.prototype.linear=function(t){return t},o.prototype.relu=function(t){df(t,"relu");for(var e=Gn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.max(0,r[o]);return e},o.prototype.relu6=function(t){df(t,"relu");for(var e=Gn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.min(Math.max(0,r[o]),6);return e},o.prototype.prelu=function(t,e){return df([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return t<0?e*t:t}))},o.prototype.elu=function(t){df(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=n[r];e[r]=o>=0?o:Math.exp(o)-1}return this.makeOutput(e,t.shape,"float32")},o.prototype.eluDer=function(t,e){df([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),o=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];n[a]=i>=1?o[a]:o[a]*(i+1)}return this.makeOutput(n,e.shape,"float32")},o.prototype.selu=function(t){df(t,"selu");for(var e=su,n=uu,r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>=0?n*i:e*(Math.exp(i)-1)}return this.makeOutput(r,t.shape,"float32")},o.prototype.clip=function(t,e,n){df(t,"clip");for(var r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>n?n:i<e?e:i}return this.makeOutput(r,t.shape,"float32")},o.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<t.size;++r){var o=n[2*r],a=n[2*r+1];e[r]=Math.hypot(o,a)}return this.makeOutput(e,t.shape,"float32")},o.prototype.int=function(t){df(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return this.makeOutput(e,t.shape,"int32")},o.prototype.sigmoid=function(t){df(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return this.makeOutput(e,t.shape,"float32")},o.prototype.softplus=function(t){df(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o]>-e,i=r[o]<e,s=Math.exp(r[o]),u=void 0;u=i?s:a?r[o]:Math.log(1+s),n[o]=u}return this.makeOutput(n,t.shape,"float32")},o.prototype.sin=function(t){df(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.cos=function(t){df(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.tan=function(t){df(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.asin=function(t){df(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.acos=function(t){df(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.atan=function(t){df(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.atan2=function(t,e){return df([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.atan2(t,e)}))},o.prototype.sinh=function(t){df(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.cosh=function(t){df(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.tanh=function(t){df(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=T(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.asinh=function(t){df(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.acosh=function(t){df(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.atanh=function(t){df(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.erf=function(t){df(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=Math.sign(n[r]),a=Math.abs(n[r]),i=1/(1+.3275911*a);e[r]=o*(1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a))}return this.makeOutput(e,t.shape,"float32")},o.prototype.step=function(t,e){void 0===e&&(e=0),df(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o];isNaN(a)?n[o]=NaN:n[o]=a>0?1:e}return this.makeOutput(n,t.shape,"float32")},o.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.conv2d(e,n,r);return o&&(s=this.add(s,o)),a&&(s=gf(this,s,a,i)),s},o.prototype.conv2d=function(t,e,n){df([t,e],"conv2d");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=er(n.outShape,t.dtype),h=t.strides[0],f=c?t.strides[1]:t.strides[2],d=c?t.strides[2]:1,p=c?1:t.strides[1],v=l.strides[0],g=c?l.strides[1]:l.strides[2],m=c?l.strides[2]:1,y=c?1:l.strides[1],x=this.readSync(t.dataId),b=this.readSync(e.dataId),w=l.values,C=0;C<n.batchSize;++C)for(var E=C*h,R=C*v,I=0;I<n.outHeight;++I)for(var k=R+I*g,S=I*n.strideHeight-u,A=0;A<r;A++){var T=S+A*a;if(!(T<0||T>=n.inHeight))for(var D=A*e.strides[0],N=E+T*f,F=0;F<n.outWidth;++F)for(var _=k+F*m,O=F*n.strideWidth-s,M=0;M<o;M++){var B=O+M*i;if(!(B<0||B>=n.inWidth))for(var P=N+B*d,L=D+M*e.strides[1],W=0;W<n.inChannels;++W){for(var U=x[P+W*p],V=0;V<n.outChannels;++V)w[_+V*y]+=U*b[L+V];L+=n.outChannels}}}return l.toTensor()},o.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,o=n.filterHeight,a=n.filterWidth,i=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,h=n.padInfo.top,f=er(n.outShape,t.dtype),d=this.readSync(t.dataId),p=this.readSync(e.dataId),v=f.values,g=0;g<n.batchSize;++g)for(var m=g*t.strides[0],y=g*f.strides[0],x=0;x<n.outDepth;++x)for(var b=y+x*f.strides[1],w=x*n.strideDepth-c,C=0;C<r;C++){var E=w+C*i;if(!(E<0||E>=n.inDepth))for(var R=C*e.strides[0],I=m+E*t.strides[1],k=0;k<n.outHeight;++k)for(var S=b+k*f.strides[2],A=k*n.strideHeight-h,T=0;T<o;T++){var D=A+T*s;if(!(D<0||D>=n.inHeight))for(var N=R+T*e.strides[1],F=I+D*t.strides[2],_=0;_<n.outWidth;++_)for(var O=S+_*n.outChannels,M=_*n.strideWidth-l,B=0;B<a;B++){var P=M+B*u;if(!(P<0||P>=n.inWidth))for(var L=N+B*e.strides[2],W=F+P*n.inChannels,U=L,V=0;V<n.inChannels;++V){for(var z=d[W+V],G=0;G<n.outChannels;++G)v[O+G]+=z*p[U+G];U+=n.outChannels}}}}return f.toTensor()},o.prototype.conv2dDerInput=function(t,e,n){df([t,e],"conv2dDerInput");for(var r=er(n.inShape,"float32"),o=r.values,a=this.readSync(t.dataId),i=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],h=n.batchSize,f=n.filterHeight,d=n.filterWidth,p=n.inChannels,v=n.inHeight,g=n.inWidth,m=n.outChannels,y=n.outHeight,x=n.outWidth,b=n.strideHeight,w=n.strideWidth,C=n.dataFormat,E=f-1-n.padInfo.top,R=d-1-n.padInfo.left,I="channelsLast"===C,k=r.strides[0],S=I?r.strides[1]:r.strides[2],A=I?r.strides[2]:1,T=I?1:r.strides[1],D=t.strides[0],N=I?t.strides[1]:t.strides[2],F=I?t.strides[2]:1,_=I?1:t.strides[1],O=0;O<h;++O)for(var M=0;M<p;++M)for(var B=0;B<v;++B)for(var P=B-E,L=Math.max(0,Math.ceil(P/b)),W=Math.min(y,(f+P)/b),U=0;U<g;++U){for(var V=U-R,z=Math.max(0,Math.ceil(V/w)),G=Math.min(x,(d+V)/w),H=0,q=L;q<W;++q)for(var K=q*b-P,j=z;j<G;++j)for(var X=D*O+N*q+F*j,Y=u*(f-1-K)+c*(d-1-(j*w-V))+l*M,$=0;$<m;++$){H+=a[X+_*$]*i[Y+$]}o[k*O+S*B+A*U+T*M]=H}return r.toTensor()},o.prototype.conv3dDerInput=function(t,e,n){for(var r=er(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(t.dataId),h=t.strides,f=h[0],d=h[1],p=h[2],v=h[3],g=this.readSync(e.dataId),m=e.strides,y=m[0],x=m[1],b=m[2],w=m[3],C=n.batchSize,E=n.filterDepth,R=n.filterHeight,I=n.filterWidth,k=n.inChannels,S=n.inDepth,A=n.inHeight,T=n.inWidth,D=n.outChannels,N=n.outDepth,F=n.outHeight,_=n.outWidth,O=n.strideDepth,M=n.strideHeight,B=n.strideWidth,P=E-1-n.padInfo.front,L=R-1-n.padInfo.top,W=I-1-n.padInfo.left,U=0;U<C;++U)for(var V=0;V<k;++V)for(var z=0;z<S;++z)for(var G=z-P,H=Math.max(0,Math.ceil(G/O)),q=Math.min(N,(E+G)/O),K=0;K<A;++K)for(var j=K-L,X=Math.max(0,Math.ceil(j/M)),Y=Math.min(F,(R+j)/M),$=0;$<T;++$){for(var Q=$-W,J=Math.max(0,Math.ceil(Q/B)),Z=Math.min(_,(I+Q)/B),tt=0,et=H;et<q;++et)for(var nt=et*O-G,rt=X;rt<Y;++rt)for(var ot=rt*M-j,at=J;at<Z;++at)for(var it=f*U+d*et+p*rt+v*at,st=y*(E-1-nt)+x*(R-1-ot)+b*(I-1-(at*B-Q))+w*V,ut=0;ut<D;++ut){tt+=l[it+ut]*g[st+ut]}o[i*U+s*z+u*K+c*$+V]=tt}return r.toTensor()},o.prototype.conv2dDerFilter=function(t,e,n){df([t,e],"conv2dDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s="channelsLast"===n.dataFormat,u=er(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,h=this.bufferSync(t),f=this.bufferSync(e),d=0;d<a;++d)for(var p=Math.max(0,Math.ceil((l-d)/r)),v=Math.min(n.outHeight,(n.inHeight+l-d)/r),g=0;g<i;++g)for(var m=Math.max(0,Math.ceil((c-g)/o)),y=Math.min(n.outWidth,(n.inWidth+c-g)/o),x=0;x<n.inChannels;++x)for(var b=0;b<n.outChannels;++b){for(var w=0,C=0;C<n.batchSize;++C)for(var E=p;E<v;++E)for(var R=d+E*r-l,I=m;I<y;++I){var k=g+I*o-c;w+=s?h.get(C,R,k,x)*f.get(C,E,I,b):h.get(C,x,R,k)*f.get(C,b,E,I)}u.set(w,d,g,x,b)}return u.toTensor()},o.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=er(n.filterShape,"float32"),l=c.values,h=c.strides,f=h[0],d=h[1],p=h[2],v=h[3],g=this.readSync(e.dataId),m=e.strides,y=m[0],x=m[1],b=m[2],w=m[3],C=this.readSync(t.dataId),E=t.strides,R=E[0],I=E[1],k=E[2],S=E[3],A=n.padInfo.front,T=n.padInfo.left,D=n.padInfo.top,N=0;N<i;++N)for(var F=Math.max(0,Math.ceil((A-N)/r)),_=Math.min(n.outDepth,(n.inDepth+A-N)/r),O=N*f,M=0;M<s;++M)for(var B=Math.max(0,Math.ceil((D-M)/o)),P=Math.min(n.outHeight,(n.inHeight+D-M)/o),L=M*d+O,W=0;W<u;++W)for(var U=Math.max(0,Math.ceil((T-W)/a)),V=Math.min(n.outWidth,(n.inWidth+T-W)/a),z=W*p+L,G=0;G<n.inChannels;++G)for(var H=G*v+z,q=0;q<n.outChannels;++q){for(var K=0,j=0;j<n.batchSize;++j)for(var X=j*R,Y=j*y,$=F;$<_;++$)for(var Q=(N+$*r-A)*I+X,J=$*x+Y,Z=B;Z<P;++Z)for(var tt=(M+Z*o-D)*k+Q,et=Z*b+J,nt=U;nt<V;++nt){var rt=nt*w+et;K+=C[(W+nt*a-T)*S+tt+G]*g[rt+q]}l[H+q]=K}return c.toTensor()},o.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return o&&(s=this.add(s,o)),a&&(s=gf(this,s,a,i)),s},o.prototype.depthwiseConv2D=function(t,e,n){df([t,e],"depthwiseConv2D");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=er(n.outShape,t.dtype),h=this.readSync(t.dataId),f=this.readSync(e.dataId),d=l.values,p=0;p<n.batchSize;++p)for(var v=p*t.strides[0],g=p*l.strides[0],m=0;m<n.outHeight;++m)for(var y=g+m*l.strides[1],x=m*n.strideHeight-s,b=0;b<r;++b){var w=x+b*a;if(!(w<0||w>=n.inHeight))for(var C=b*e.strides[0],E=v+w*t.strides[1],R=0;R<n.outWidth;++R)for(var I=y+R*l.strides[2],k=R*n.strideWidth-u,S=0;S<o;++S){var A=k+S*i;if(!(A<0||A>=n.inWidth))for(var T=C+S*e.strides[1],D=E+A*n.inChannels,N=I,F=T,_=0;_<n.inChannels;++_){for(var O=h[D+_],M=0;M<c;++M)d[N+M]+=O*f[F+M];N+=c,F+=c}}}return l.toTensor()},o.prototype.depthwiseConv2DDerInput=function(t,e,n){df([t,e],"depthwiseConv2DDerInput");for(var r=er(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=this.readSync(t.dataId),l=t.strides,h=l[0],f=l[1],d=l[2],p=this.readSync(e.dataId),v=e.strides,g=v[0],m=v[1],y=v[2],x=n.batchSize,b=n.filterHeight,w=n.filterWidth,C=n.inChannels,E=n.inHeight,R=n.inWidth,I=n.outChannels,k=n.outHeight,S=n.outWidth,A=n.strideHeight,T=n.strideWidth,D=b-1-n.padInfo.top,N=w-1-n.padInfo.left,F=I/C,_=0;_<x;++_)for(var O=0;O<C;++O)for(var M=0;M<E;++M)for(var B=M-D,P=Math.max(0,Math.ceil(B/A)),L=Math.min(k,(b+B)/A),W=0;W<R;++W){for(var U=W-N,V=Math.max(0,Math.ceil(U/T)),z=Math.min(S,(w+U)/T),G=0,H=P;H<L;++H)for(var q=H*A-B,K=V;K<z;++K)for(var j=h*_+f*H+d*K,X=g*(b-1-q)+m*(w-1-(K*T-U))+y*O,Y=0;Y<F;++Y){G+=c[j+(O*F+Y)]*p[X+Y]}o[i*_+s*M+u*W+O]=G}return r.toTensor()},o.prototype.depthwiseConv2DDerFilter=function(t,e,n){df([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=er(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,h=this.bufferSync(t),f=this.bufferSync(e),d=0;d<a;++d)for(var p=Math.max(0,Math.ceil((c-d)/r)),v=Math.min(n.outHeight,(n.inHeight+c-d)/r),g=0;g<i;++g)for(var m=Math.max(0,Math.ceil((u-g)/o)),y=Math.min(n.outWidth,(n.inWidth+u-g)/o),x=0;x<n.outChannels;++x){for(var b=Math.trunc(x/l),w=x%l,C=0,E=0;E<n.batchSize;++E)for(var R=p;R<v;++R)for(var I=d+R*r-c,k=m;k<y;++k){var S=g+k*o-u;C+=h.get(E,I,S,b)*f.get(E,R,k,x)}s.set(C,d,g,b,w)}return s.toTensor()},o.prototype.tile=function(t,e){return df(t,"tile"),Va(this.bufferSync(t),e)},o.prototype.pad=function(t,e,n){df(t,"pad");var r=e.map((function(e,n){return e[0]+t.shape[n]+e[1]})),o=e.map((function(t){return t[0]})),a=this.bufferSync(t),i=er(r,t.dtype);0!==n&&i.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),c=u.map((function(t,e){return t+o[e]}));i.set.apply(i,[a.get.apply(a,u)].concat(c))}return i.toTensor()},o.prototype.gather=function(t,e,n){df([t,e],"gather");var r=t.shape.slice(),o=this.readSync(e.dataId);r[n]=o.length;for(var a=er(r,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=o[u[n]];var l=i.locToIndex(c);a.values[s]=i.values[l]}return a.toTensor()},o.prototype.batchToSpaceND=function(t,e,n){df([t],"batchToSpaceND");var r=e.reduce((function(t,e){return t*e})),o=pr(t.shape,e,r),a=vr(o.length,e.length),i=gr(t.shape,e,r),s=mr(n,e.length),u=yr(i,n,e.length);return ua(t.reshape(o),a).reshape(i).slice(s,u)},o.prototype.spaceToBatchND=function(t,e,n){df([t],"spaceToBatchND");var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=pr(i.shape,e,r,!1),u=vr(s.length,e.length,!1),c=gr(i.shape,e,r,!1);return ua(i.reshape(s),u).reshape(c)},o.prototype.maxPool=function(t,e){return df(t,"maxPool"),pf(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"max").toTensor()},o.prototype.maxPoolBackprop=function(t,e,n,r){df([e,n],"maxPoolBackprop");for(var o=this.readSync(e.dataId),a=er(r.outShape,e.dtype,vf(o,e.shape,e.dtype,r).values),i=r.strideHeight,s=r.strideWidth,u=r.dilationHeight,c=r.dilationWidth,l=r.effectiveFilterHeight,h=r.effectiveFilterWidth,f=h-1-r.padInfo.left,d=l-1-r.padInfo.top,p=er(e.shape,"float32"),v=this.bufferSync(t),g=0;g<r.batchSize;++g)for(var m=0;m<r.inChannels;++m)for(var y=0;y<r.inHeight;++y)for(var x=0;x<r.inWidth;++x){for(var b=y-d,w=x-f,C=0,E=0;E<l;E+=u){var R=(b+E)/i;if(!(R<0||R>=r.outHeight||Math.floor(R)!==R))for(var I=0;I<h;I+=c){var k=(w+I)/s;if(!(k<0||k>=r.outWidth||Math.floor(k)!==k)){var S=l*h-1-a.get(g,R,k,m)===E*h+I?1:0;if(0!==S)C+=v.get(g,R,k,m)*S}}}p.set(C,g,y,x,m)}return p.toTensor()},o.prototype.avgPoolBackprop=function(t,e,n){df([t,e],"avgPoolBackprop");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,h=l-1-n.padInfo.left,f=c-1-n.padInfo.top,d=er(e.shape,"float32"),p=1/(a*i),v=this.bufferSync(t),g=0;g<n.batchSize;++g)for(var m=0;m<n.inChannels;++m)for(var y=0;y<n.inHeight;++y)for(var x=0;x<n.inWidth;++x){for(var b=y-f,w=x-h,C=0,E=0;E<c;E+=s){var R=(b+E)/r;if(!(R<0||R>=n.outHeight||Math.floor(R)!==R))for(var I=0;I<l;I+=u){var k=(w+I)/o;if(!(k<0||k>=n.outWidth||Math.floor(k)!==k))C+=v.get(g,R,k,m)}}d.set(C*p,g,y,x,m)}return d.toTensor()},o.prototype.pool3d=function(t,e,n){df(t,"pool3d");for(var r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.front,d=e.padInfo.top,p=e.padInfo.left,v="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(t.dataId),m=er(e.outShape,t.dtype),y=m.values,x=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],b=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],E=0;E<e.batchSize;++E)for(var R=E*x,I=E*t.strides[0],k=0;k<e.inChannels;++k)for(var S=0;S<e.outDepth;++S){for(var A=S*r-f,T=A;T<0;)T+=i;for(var D=Math.min(e.inDepth,c+A),N=R+S*b,F=0;F<e.outHeight;++F){for(var _=F*o-d,O=_;O<0;)O+=s;for(var M=Math.min(e.inHeight,l+_),B=N+F*w,P=0;P<e.outWidth;++P){for(var L=P*a-p,W=L;W<0;)W+=u;for(var U=Math.min(e.inWidth,h+L),V=B+P*C,z=v,G=0,H=0,q=T;q<D;q+=i){for(var K=I+q*t.strides[1],j=O;j<M;j+=s){for(var X=K+j*t.strides[2],Y=W;Y<U;Y+=u){var $=g[X+Y*t.strides[3]+k];if("max"===n&&$>z?z=$:"avg"===n&&(G+=$,H++),isNaN(z))break}if(isNaN(z))break}if(isNaN(z))break}y[V+k]="avg"===n?G/H:z}}}return m.toTensor()},o.prototype.avgPool3d=function(t,e){return df(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},o.prototype.avgPool3dBackprop=function(t,e,n){df([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,h=n.dilationWidth,f=n.effectiveFilterDepth,d=n.effectiveFilterHeight,p=n.effectiveFilterWidth,v=f-1-n.padInfo.front,g=p-1-n.padInfo.left,m=d-1-n.padInfo.top,y=er(e.shape,"float32"),x=1/(i*s*u),b=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var E=0;E<n.inDepth;++E)for(var R=0;R<n.inHeight;++R)for(var I=0;I<n.inWidth;++I){for(var k=E-v,S=R-m,A=I-g,T=0,D=0;D<f;D+=c){var N=(k+D)/r;if(!(N<0||N>=n.outDepth||Math.floor(N)!==N))for(var F=0;F<d;F+=l){var _=(S+F)/o;if(!(_<0||_>=n.outHeight||Math.floor(_)!==_))for(var O=0;O<p;O+=h){var M=(A+O)/a;if(!(M<0||M>=n.outWidth||Math.floor(M)!==M))T+=b.get(w,N,_,M,C)}}}y.set(T*x,w,E,R,I,C)}return y.toTensor()},o.prototype.maxPool3d=function(t,e){return df(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},o.prototype.maxPool3dPositions=function(t,e){for(var n=er(e.outShape,"int32"),r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.front,d=e.padInfo.top,p=e.padInfo.left,v=this.bufferSync(t),g=0;g<e.batchSize;++g)for(var m=0;m<e.inChannels;++m)for(var y=0;y<e.outDepth;++y){for(var x=y*r-f,b=x;b<0;)b+=i;for(var w=Math.min(e.inDepth,c+x),C=0;C<e.outHeight;++C){for(var E=C*o-d,R=E;R<0;)R+=s;for(var I=Math.min(e.inHeight,l+E),k=0;k<e.outWidth;++k){for(var S=k*a-p,A=S;A<0;)A+=u;for(var T=Math.min(e.inWidth,h+S),D=Number.NEGATIVE_INFINITY,N=-1,F=b;F<w;F+=i)for(var _=F-x,O=R;O<I;O+=s)for(var M=O-E,B=A;B<T;B+=u){var P=B-S,L=v.get(g,F,O,B,m);L>=D&&(D=L,N=_*l*h+M*l+P)}n.set(N,g,y,C,k,m)}}}return n.toTensor()},o.prototype.maxPool3dBackprop=function(t,e,n,r){df([e,n],"maxPool3dBackprop");for(var o=this.maxPool3dPositions(e,r),a=r.strideDepth,i=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,h=r.effectiveFilterDepth,f=r.effectiveFilterHeight,d=r.effectiveFilterWidth,p=h-1-r.padInfo.front,v=d-1-r.padInfo.left,g=f-1-r.padInfo.top,m=er(e.shape,"float32"),y=this.bufferSync(o),x=this.bufferSync(t),b=0;b<r.batchSize;++b)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var E=0;E<r.inHeight;++E)for(var R=0;R<r.inWidth;++R){for(var I=C-p,k=E-g,S=R-v,A=0,T=0;T<h;T+=u){var D=(I+T)/a;if(!(D<0||D>=r.outDepth||Math.floor(D)!==D))for(var N=0;N<f;N+=c){var F=(k+N)/i;if(!(F<0||F>=r.outHeight||Math.floor(F)!==F))for(var _=0;_<d;_+=l){var O=(S+_)/s;if(!(O<0||O>=r.outWidth||Math.floor(O)!==O)){var M=h*f*d-1-y.get(b,D,F,O,w)===T*f*d+N*d+_?1:0;if(0!==M)A+=x.get(b,D,F,O,w)*M}}}}m.set(A,b,C,E,R,w)}return m.toTensor()},o.prototype.cast=function(t,e){return Ra(t,e,this)},o.prototype.reshape=function(t,e){return Ia(t,e)},o.prototype.avgPool=function(t,e){return df(t,"avgPool"),df(t,"maxPool"),pf(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"avg").toTensor().toFloat()},o.prototype.resizeBilinear=function(t,e,n,r){df(t,"resizeBilinear");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(k([a,e,n,u])),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],f=[r&&e>1?e-1:e,r&&n>1?n-1:n],d=0,p=h[0]/f[0],v=h[1]/f[1],g=0;g<a;g++)for(var m=0;m<e;m++)for(var y=p*m,x=Math.floor(y),b=y-x,w=Math.min(i-1,Math.ceil(y)),C=g*t.strides[0]+x*t.strides[1],E=g*t.strides[0]+w*t.strides[1],R=0;R<n;R++)for(var I=v*R,S=Math.floor(I),A=I-S,T=Math.min(s-1,Math.ceil(I)),D=C+S*t.strides[2],N=E+S*t.strides[2],F=C+T*t.strides[2],_=E+T*t.strides[2],O=0;O<u;O++){var M=c[D+O],B=c[N+O],P=M+(c[F+O]-M)*A,L=P+(B+(c[_+O]-B)*A-P)*b;l[d++]=L}return Fn(l,[a,e,n,u])},o.prototype.resizeBilinearBackprop=function(t,e,n){df([t,e],"resizeBilinearBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),f=[n&&c>1?a-1:a,n&&l>1?i-1:i],d=[n&&c>1?c-1:c,n&&l>1?l-1:l],p=f[0]/d[0],v=f[1]/d[1],g=this.readSync(t.dataId),m=0,y=0;y<o;y++)for(var x=y*e.strides[0],b=0;b<c;b++)for(var w=b*p,C=Math.floor(w),E=Math.min(Math.ceil(w),a-1),R=x+C*e.strides[1],I=x+E*e.strides[1],k=w-C,S=1-k,A=0;A<l;A++)for(var T=A*v,D=Math.floor(T),N=Math.min(Math.ceil(T),i-1),F=T-D,_=1-F,O=R+D*e.strides[2],M=R+N*e.strides[2],B=I+D*e.strides[2],P=I+N*e.strides[2],L=S*_,W=S*F,U=k*_,V=k*F,z=0;z<s;z++){var G=g[m++];h[O+z]+=G*L,h[M+z]+=G*W,h[B+z]+=G*U,h[P+z]+=G*V}return Ln(h,[o,i,a,s],e.dtype)},o.prototype.resizeNearestNeighbor=function(t,e,n,r){df(t,"resizeNearestNeighbor");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(a*e*n*u),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],f=[r&&e>1?e-1:e,r&&n>1?n-1:n],d=h[0]/f[0],p=h[1]/f[1],v=0,g=0;g<a;g++)for(var m=g*t.strides[0],y=0;y<e;y++)for(var x=d*y,b=m+Math.min(i-1,r?Math.round(x):Math.floor(x))*t.strides[1],w=0;w<n;w++)for(var C=p*w,E=b+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],R=0;R<u;R++){var I=c[E+R];l[v++]=I}return Fn(l,[a,e,n,u],t.dtype)},o.prototype.resizeNearestNeighborBackprop=function(t,e,n){df([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),f=this.readSync(t.dataId),d=[n&&c>1?a-1:a,n&&l>1?i-1:i],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],v=d[0]/p[0],g=d[1]/p[1],m=1/v,y=1/g,x=2*Math.ceil(m)+2,b=2*Math.ceil(y)+2,w=0;w<o;w++)for(var C=w*e.strides[0],E=0;E<a;E++)for(var R=C+E*e.strides[1],I=Math.floor(E*m),k=Math.floor(I-x/2),S=0;S<i;S++)for(var A=R+S*e.strides[2],T=Math.floor(S*y),D=Math.floor(T-b/2),N=0;N<s;N++){for(var F=0,_=0;_<x;_++){var O=_+k;if(!(O<0||O>=c)){var M=C+O*t.strides[1],B=O*v;if(E===Math.min(a-1,n?Math.round(B):Math.floor(B)))for(var P=0;P<b;P++){var L=P+D;if(!(L<0||L>=l)){var W=M+L*t.strides[2],U=L*g;S===Math.min(i-1,n?Math.round(U):Math.floor(U))&&(F+=f[W+N])}}}}h[A+N]=F}return Ln(h,e.shape,e.dtype)},o.prototype.batchNormalization=function(t,e,n,r,o,a){df([t,e,n,o,a],"batchNorm");for(var i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=o?this.readSync(o.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),h=new Float32Array(i.length),f=l.length,d=c.length,p=u.length,v=s.length,g=0,m=0,y=0,x=0,b=0;b<i.length;++b)h[b]=l[g++]+(i[b]-s[m++])*c[y++]/Math.sqrt(u[x++]+r),g>=f&&(g=0),m>=v&&(m=0),y>=d&&(y=0),x>=p&&(x=0);return Ln(h,t.shape)},o.prototype.localResponseNormalization4D=function(t,e,n,r,o){df(t,"localResponseNormalization4D");var a=t.shape[3],i=a-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(t){for(var n=t%a,r=t-n+Math.max(0,n-e),o=t-n+Math.min(n+e,i),u=0;r<=o;r++){var c=s[r];u+=c*c}return u}for(var h=0;h<u;h++){var f=l(h),d=s[h]*Math.pow(n+r*f,-o);c[h]=d}return Ln(c,t.shape)},o.prototype.LRNGrad=function(t,e,n,r,o,a,i){df(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),h=new Float32Array(t.size),f=t.size,d=0;d<f;d++){for(var p=d%s,v=d-p+Math.max(0,p-r),g=d-p+Math.min(s,p+r+1),m=0,y=v;y<g;y++)m+=Math.pow(c[y],2);m=a*m+o;for(y=v;y<g;y++){var x=-2*a*i*c[y]*l[d]/m;d===y&&(x+=Math.pow(m,-i)),x*=u[d],h[y]+=x}}return Ln(h,t.shape)},o.prototype.multinomial=function(t,e,n,r){df(t,"multinomial");for(var o=e?t:ia(t),a=o.shape[0],i=o.shape[1],s=Gn([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(o.dataId),l=0;l<a;++l){var h=l*i,f=new Float32Array(i-1);f[0]=c[h];for(var d=1;d<f.length;++d)f[d]=f[d-1]+c[h+d];for(var p=Yu(r.toString()),v=l*n,g=0;g<n;++g){var m=p();u[v+g]=f.length;for(var y=0;y<f.length;y++)if(m<f[y]){u[v+g]=y;break}}}return s},o.prototype.oneHot=function(t,e,n,r){df(t,"oneHot");var o=new Float32Array(t.size*e);o.fill(r);for(var a=this.readSync(t.dataId),i=0;i<t.size;++i)a[i]>=0&&a[i]<e&&(o[i*e+a[i]]=n);return Bn(o,[t.size,e],"int32")},o.prototype.nonMaxSuppression=function(t,e,n,r,o){return df(t,"nonMaxSuppression"),Oa(this.readSync(t.dataId),this.readSync(e.dataId),n,r,o)},o.prototype.fft=function(t){return this.fftBatch(t,!1)},o.prototype.ifft=function(t){return this.fftBatch(t,!0)},o.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],o=er(t.shape,"float32"),a=er(t.shape,"float32"),i=Dn(t).as2D(n,r),s=Nn(t).as2D(n,r),u=0;u<n;u++)for(var c=i.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),h=Tn(c,l),f=this.readSync(this.fftImpl(h,e).dataId),d=0;d<r;d++){var p=Ta(f,d);o.values[u*r+d]=p.real,a.values[u*r+d]=p.imag}return Tn(o.toTensor(),a.toTensor()).as2D(n,r)},o.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var o=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(o=Tn(Dn(o).div(On(r)),Nn(o).div(On(r)))),o}var a=this.readSync(t.dataId),i=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(a,r,e));return Tn(i.real,i.imag).as2D(t.shape[0],t.shape[1])},o.prototype.isExponentOf2=function(t){return 0==(t&t-1)},o.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),o=e/2,a=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=0;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),i=Tn(a.real,a.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=2;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),u=Tn(s.real,s.imag).as1D();i=this.fftRadix2(i,o,n),u=this.fftRadix2(u,o,n);var c=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),o=0;o<Math.ceil(t/2);o++){var a=(e?2:-2)*Math.PI*(o/t);n[o]=Math.cos(a),r[o]=Math.sin(a)}return{real:n,imag:r}}(e,n),l=Tn(c.real,c.imag).mul(u),h=i.add(l),f=i.sub(l),d=Dn(h).concat(Dn(f)),p=Nn(h).concat(Nn(f));return Tn(d,p).as1D()},o.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),o=0;o<e;o++){for(var a=0,i=0,s=0;s<e;s++){var u=Na(o*s,e,n),c=Ta(t,s);a+=c.real*u.real-c.imag*u.imag,i+=c.real*u.imag+c.imag*u.real}n&&(a/=e,i/=e),Da(r,a,i,o)}return r},o.prototype.depthToSpace=function(t,e,n){C("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),C(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));for(var r=t.shape[0],o=t.shape[1],a=t.shape[2],i=t.shape[3],s=o*e,u=a*e,c=i/(e*e),l=this.readSync(t.dataId),h=new Float32Array(r*s*u*c),f=0,d=0;d<r;++d)for(var p=0;p<s;++p)for(var v=Math.floor(p/e),g=p%e,m=0;m<u;++m)for(var y=Math.floor(m/e),x=(g*e+m%e)*c,b=0;b<c;++b){var w=b+x+i*(y+a*(v+o*d));h[f++]=l[w]}return Ln(h,[r,s,u,c])},o.prototype.broadcastedBinaryOp=function(t,e,n,r){var o=Pr(t.shape,e.shape),a=er(o,n),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Mr(t.shape,o),c=Mr(e.shape,o),l=a.values;if(u.length+c.length===0)for(var h=0;h<l.length;++h)l[h]=r(i[h%i.length],s[h%s.length]);else{var f=this.bufferSync(t),d=this.bufferSync(e),p=function(n){var o=a.indexToLoc(n),h=o.slice(-t.rank);u.forEach((function(t){return h[t]=0}));var p=f.locToIndex(h),v=o.slice(-e.rank);c.forEach((function(t){return v[t]=0}));var g=d.locToIndex(v);l[n]=r(i[p],s[g])};for(h=0;h<l.length;++h)p(h)}return a.toTensor()},o.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=Pr(t.shape,e.shape),o=er(r,"float32"),a=er(r,"float32"),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Mr(t.shape,r),c=Mr(e.shape,r),l=o.values,h=a.values;if(u.length+c.length===0)for(var f=0;f<l.length;f++){var d=f%i.length,p=f%s.length,v=n(i[2*d],i[2*d+1],s[2*p],s[2*p+1]);l[f]=v.real,h[f]=v.imag}else{var g=this.bufferSync(this.data.get(t.dataId).complexTensors.real),m=this.bufferSync(this.data.get(e.dataId).complexTensors.real),y=function(r){var a=o.indexToLoc(r),f=a.slice(-t.rank);u.forEach((function(t){return f[t]=0}));var d=g.locToIndex(f),p=a.slice(-e.rank);c.forEach((function(t){return p[t]=0}));var v=m.locToIndex(p),y=n(i[2*d],i[2*d+1],s[2*v],s[2*v+1]);l[r]=y.real,h[r]=y.imag};for(f=0;f<l.length;f++)y(f)}return this.complex(o.toTensor(),a.toTensor())},o.prototype.split=function(t,e,n){return Ua(t,e,n)},o.prototype.dispose=function(){},o.prototype.floatPrecision=function(){return 32},o.prototype.epsilon=function(){return 1e-7},o.prototype.cropAndResize=function(t,e,n,r,o,a){for(var i=t.shape,s=i[0],u=i[1],c=i[2],l=i[3],h=e.shape[0],f=r[0],d=r[1],p=er([h,f,d,l],"float32"),v=this.readSync(e.dataId),g=this.readSync(n.dataId),m=this.readSync(t.dataId),y=t.strides,x=p.strides,b=0;b<h;b++){var w=4*b,C=v[w],E=v[w+1],R=v[w+2],I=v[w+3],k=g[b];if(!(k>=s))for(var S=f>1?(R-C)*(u-1)/(f-1):0,A=d>1?(I-E)*(c-1)/(d-1):0,T=0;T<f;T++){var D=f>1?C*(u-1)+T*S:.5*(C+R)*(u-1);if(D<0||D>u-1)for(var N=0;N<d;N++)for(var F=0;F<l;F++){var _=F+N*x[2]+T*x[1]+b*x[0];p.values[_]=a}else if("bilinear"===o){var O=Math.floor(D),M=Math.ceil(D),B=D-O;for(N=0;N<d;N++){if((q=d>1?E*(c-1)+N*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++){_=F+N*x[2]+T*x[1]+b*x[0];p.values[_]=a}else{var P=Math.floor(q),L=Math.ceil(q),W=q-P;for(F=0;F<l;F++){var U=m[_=F+P*y[2]+O*y[1]+k*y[0]],V=m[_=F+L*y[2]+O*y[1]+k*y[0]],z=m[_=F+P*y[2]+M*y[1]+k*y[0]],G=U+(V-U)*W,H=z+(m[_=F+L*y[2]+M*y[1]+k*y[0]]-z)*W;_=F+N*x[2]+T*x[1]+b*x[0],p.values[_]=G+(H-G)*B}}}}else for(N=0;N<d;++N){var q;if((q=d>1?E*(c-1)+N*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++){_=F+N*x[2]+T*x[1]+b*x[0];p.values[_]=a}else{var K=Math.round(q),j=Math.round(D);for(F=0;F<l;F++){var X=F+K*y[2]+j*y[1]+k*y[0],Y=F+N*x[2]+T*x[1]+b*x[0];p.values[Y]=m[X]}}}}}return p.toTensor()},o.prototype.sparseToDense=function(t,e,n,r){var o=Go(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.sliceSize,u=o.strides,c=o.outputSize;return this.scatter(t,e,n,c,s,i,a,u,r,!1)},o.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=Po(t,e),a=o[0],i=o[1],s=o[2],u=o[3];if(0===i)return Fn([],a,t.dtype);for(var c=new mt([i,s],t.dtype),l=this.readSync(e.dataId),h=this.readSync(t.dataId),f=0;f<i;f++){for(var d=[],p=0,v=0;v<r;v++){var g=l[f*r+v];p+=g*u[v],d.push(g)}if(p<0||p>=t.size/s)throw new Error("Invalid indices: "+d+" does not index into "+t.shape);for(var m=0;m<s;m++)c.values[f*s+m]=h[p*s+m]}return c.toTensor().reshape(a)},o.prototype.scatterND=function(t,e,n){var r=Go(0,t,n),o=r.sliceRank,a=r.numUpdates,i=r.sliceSize,s=r.strides,u=r.outputSize,c=On(0);return this.scatter(t,e,n,u,i,a,o,s,c,!0)},o.prototype.fill=function(t,e,n){var r=P(n=n||j(e),k(t));return r.fill(e),Lt.makeTensor(r,t,n,this)},o.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(t.shape,1,t.dtype)},o.prototype.zerosLike=function(t){var e=P(t.dtype,k(t.shape));return this.makeOutput(e,t.shape,t.dtype)},o.prototype.linspace=function(t,e,n){return ka(t,e,n)},o.prototype.scatter=function(t,e,n,r,o,a,i,s,u,c){var l=[r/o,o],h=this.readSync(t.dataId),f=this.readSync(e.dataId);if(0===r)return Fn([],n,e.dtype);var d=new mt(l,e.dtype);d.values.fill(this.readSync(u.dataId)[0]);for(var p=0;p<a;p++){for(var v=[],g=0,m=0;m<i;m++){var y=h[p*i+m];v.push(y),g+=y*s[m]}if(g<0||g>=r/o)throw new Error("Invalid indices: "+v+" does not index into "+n);for(var x=0;x<o;x++)c?d.values[g*o+x]+=f[p*o+x]:d.values[g*o+x]=0===e.rank?f[0]:f[p*o+x]}return d.toTensor().reshape(n)},o}(la);function yf(t,e){return{kernelName:t,backendName:"cpu",kernelFunc:function(n){var r=n.inputs,o=n.backend,a=r,i=a.a,s=a.b,u=o;df([i,s],t);var c=u.data.get(i.dataId).values,l=u.data.get(s.dataId).values,h=e(i.shape,s.shape,c,l,i.dtype),f=h[0],d=h[1];return{dataId:u.write(f,d,i.dtype),shape:d,dtype:i.dtype}}}}function xf(t){return function(e,n,r,o,a){var i=Pr(e,n),s=i.length,u=$(i),c=B(a,k(i)),l=e.length,h=n.length,f=$(e),d=$(n),p=Mr(e,i),v=Mr(n,i);if(p.length+v.length===0)for(var g=0;g<c.length;++g)c[g]=t(r[g%r.length],o[g%o.length]);else{var m=function(e){var n=it(e,s,u),a=n.slice(-l);p.forEach((function(t){return a[t]=0}));var i=at(a,l,f),g=n.slice(-h);v.forEach((function(t){return g[t]=0}));var m=at(g,h,d);c[e]=t(r[i],o[m])};for(g=0;g<c.length;++g)m(g)}return[c,i]}}Lt.registerBackend("cpu",(function(){return new mf}),1);var bf=xf((function(t,e){return t/e})),wf=yf(wr,bf);var Cf={kernelName:"MaxPoolWithArgmax",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n,i=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;df(o,"MaxPoolWithArgmax");var h=l.data.get(o.dataId).values,f=fa(o.shape,i,s,[1,1],u),d=function(t,e,n,r,o){var a=pf(t,0,n,$(e),o,"max"),i=vf(t,e,n,o,!0,r);return[a.values,i.values]}(h,o.shape,o.dtype,c,f),p=d[0],v=d[1],g=l.write(p,f.outShape,o.dtype),m=l.write(v,f.outShape,o.dtype);return[{dataId:g,shape:f.outShape,dtype:o.dtype},{dataId:m,shape:f.outShape,dtype:"int32"}]}},Ef={kernelName:"NonMaxSuppressionV5",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,o=e,a=o.boxes,i=o.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,h=s.softNmsSigma,f=n;df(a,"NonMaxSuppressionWithScore");var d=Ma(f.data.get(a.dataId).values,f.data.get(i.dataId).values,u,c,l,h);return[d.selectedIndices,d.selectedScores]}},Rf={kernelName:"Square",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n;df(r,"square");for(var a=o.data.get(r.dataId).values,i=new Float32Array(a.length),s=0;s<a.length;++s){var u=a[s];i[s]=u*u}return{dataId:o.write(i,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},If=xf((function(t,e){var n=t-e;return n*n}));function kf(t,e,n,r,o){for(var a=k(e),i=e.length,s=$(e),u=$(o),c=B(n,k(o)),l=0;l<a;++l){for(var h=it(l,i,s),f=new Array(h.length),d=0;d<f.length;d++)f[d]=h[r[d]];c[at(f,i,u)]=t[l]}return c}for(var Sf=0,Af=[Ef,Rf,yf(Er,If),wf,{kernelName:"Transpose",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n.perm,i=r;df(o,"transpose");for(var s=o.shape.length,u=new Array(s),c=0;c<u.length;c++)u[c]=o.shape[a[c]];var l=kf(i.data.get(o.dataId).values,o.shape,o.dtype,a,u);return{dataId:i.write(l,u,o.dtype),shape:u,dtype:o.dtype}}},Cf];Sf<Af.length;Sf++){d(Af[Sf])}var Tf,Df=function(t){this.variableNames=["A"];var e=Ya(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+e.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},Nf=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=Ya(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+e.output+" = result;\n      }\n    "};var Ff=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var o=ui(this.rank),a=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),o=0;o<t.length;o++)r[t[o]]=n[o];return r.join()}(e);this.userCode="\n    void main() {\n      "+o+" resRC = getOutputCoords();\n      setOutput(getA("+a+"));\n    }\n    "};var _f=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var o=ui(this.rank),a=ja("rc",this.rank),i=new Array(this.rank);for(r=0;r<e.length;r++)i[e[r]]=a[r];var s="vec2("+i.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+i.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+o+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "};for(var Of=0,Mf=[{kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,o=e.pixels,a=r.numChannels,s="undefined"!=typeof HTMLVideoElement&&o instanceof HTMLVideoElement,u="undefined"!=typeof HTMLImageElement&&o instanceof HTMLImageElement,c=s?[o.videoWidth,o.videoHeight]:[o.width,o.height],l=c[0],h=c[1],f=[h,l],d=[h,l,a];(u||s)&&(null==Tf&&(Tf=document.createElement("canvas").getContext("2d")),Tf.canvas.width=l,Tf.canvas.height=h,Tf.drawImage(o,0,0,l,h),o=Tf.canvas);var p=n.makeTensorInfo(f,"int32");n.texData.get(p.dataId).usage=zt.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(p.dataId),o);var v=i().getBool("WEBGL_PACK")?new Nf(d):new Df(d),g=n.runWebGLProgram(v,[p],"int32");return n.disposeData(p.dataId),g}},{kernelName:wr,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e;return function(t,e,n){var r=new Ri(Ci,t.shape,e.shape);return i().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&(r=new Si(Ii,t.shape,e.shape,!0)),n.runWebGLProgram(r,[t,e],"float32")}(r.a,r.b,n)}},{kernelName:"NonMaxSuppressionV5",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs;dn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var o=e,a=o.boxes,i=o.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,h=s.softNmsSigma,f=n,d=Ma(f.readSync(a.dataId),f.readSync(i.dataId),u,c,l,h);return[d.selectedIndices,d.selectedScores]}},{kernelName:"Square",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n,a=new cu(r.shape,"return x * x;");return o.runWebGLProgram(a,[r],r.dtype)}},{kernelName:Er,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e,o=r.a,a=r.b,s=n,u=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("return (a - b) * (a - b);",o.shape,a.shape):new Ri("return (a - b) * (a - b);",o.shape,a.shape);return s.compileAndRun(u,[o,a])}},{kernelName:"Transpose",backendName:"webgl",kernelFunc:function(t){for(var e,n=t.inputs,r=t.attrs,o=t.backend,a=n.x,s=r.perm,u=o,c=a.shape.length,l=new Array(c),h=0;h<l.length;h++)l[h]=a.shape[s[h]];if(u.shouldExecuteOnCPU([a])){var f=kf(u.texData.get(a.dataId).values,a.shape,a.dtype,s,l);e=u.makeTensorInfo(l,a.dtype),u.texData.get(e.dataId).values=f}else e=function(t,e,n){var r=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new _f(t.shape,e):new Ff(t.shape,e);return n.runWebGLProgram(r,[t],t.dtype)}(a,s,u);return e}},{kernelName:"MaxPoolWithArgmax",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n,i=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;C(4===o.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+o.shape.length+"."}));var h=[1,1];C(Ca(s,h),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+s+" and dilations '"+h+"'"}));var f=fa(o.shape,i,s,h,u),d=function(t,e,n,r){var o=new Ws(n,"max",!1),a=r.runWebGLProgram(o,[t],"float32");return o=new Ws(n,"max",!0,!0,e),[a,r.runWebGLProgram(o,[t],"float32")]}(o,c,f,l);return[d[0],d[1]]}}];Of<Mf.length;Of++){d(Mf[Of])}for(var Bf=0,Pf=[{kernelName:xr,inputsToSave:["a","b"],gradFunc:function(t,e){var n=e[0],r=e[1],o=Pr(n.shape,r.shape);return{a:function(){var e=t,r=Br(n.shape,o);return r.length>0&&(e=e.sum(r)),e.reshape(n.shape)},b:function(){var e=t,n=Br(r.shape,o);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)}}}},{kernelName:"AddN",saveAllInputs:!0,gradFunc:function(t,e){var n={};return e.forEach((function(e,r){n[r]=function(){return t.clone()}})),n}},{kernelName:Sr,gradFunc:function(t,e,n){for(var r=n,o=r.inputShape,a=r.shape,i=Array.from(a),s=o.length-1;s>=0;s--)if(o[s]===a[s])i[s]=1;else if(1!==o[s])throw new Error("broadcastTo(): ["+o+"] cannot be broadcast to ["+a+"].");var 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1===a.rank&&(t=th(t,l)),ur(t,a.shape)},variance:function(){var t=To(To(g,d),p);return 1===a.rank&&(t=th(t,l)),ur(t,a.shape)},scale:function(){var e=To(d,v),n=To(t,e);return 1===a.rank&&(n=th(n,l)),ur(n,a.shape)},offset:function(){var e=t;return 1===a.rank&&(e=th(e,l)),ur(e,a.shape)}}}},{kernelName:Tr,gradFunc:function(t){return{x:function(){return t.toFloat()}}}},{kernelName:Ar,inputsToSave:["indices"],gradFunc:function(t,e){var n=e[0];return{indices:function(){return Gn(n.shape,"float32")}}}},{kernelName:Nr,inputsToSave:["x"],gradFunc:function(t,e,n){var r=e[0],o=n.paddings.map((function(t){return t[0]}));return{x:function(){return t.slice(o,r.shape)}}}},{kernelName:"Square",inputsToSave:["x"],gradFunc:function(t,e){var n=e[0];return{x:function(){return t.mul(n.toFloat().mul(2))}}}},{kernelName:Er,inputsToSave:["a","b"],gradFunc:function(t,e){var n=e[0],r=e[1],o=On(2);return{a:function(){return To(t,To(o,Oo(n,r)))},b:function(){return 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t.prototype.listModels=function(){return n(this,void 0,void 0,(function(){var t=this;return r(this,(function(e){return[2,new Promise((function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return ad(r)},r.onsuccess=function(){var t=r.result,o=t.transaction(rd,"readonly"),a=o.objectStore(rd).getAll();a.onsuccess=function(){for(var t={},n=0,r=a.result;n<r.length;n++){var o=r[n];t[o.modelPath]=o.modelArtifactsInfo}e(t)},a.onerror=function(e){return t.close(),n(a.error)},o.oncomplete=function(){return t.close()}},r.onerror=function(t){return n(r.error)}}))]}))}))},t.prototype.removeModel=function(t){return n(this,void 0,void 0,(function(){var e=this;return r(this,(function(n){var r;return t=(r=t).startsWith(id.URL_SCHEME)?r.slice(id.URL_SCHEME.length):r,[2,new Promise((function(n,r){var o=e.indexedDB.open("tensorflowjs",1);o.onupgradeneeded=function(){return ad(o)},o.onsuccess=function(){var 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n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],o={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},a=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:"application/json"})),(i=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,i.href=a,[4,Rd((function(){return i.dispatchEvent(new MouseEvent("click"))}))];case 2:return r.sent(),null==t.weightData?[3,4]:((s=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,s.href=e,[4,Rd((function(){return s.dispatchEvent(new MouseEvent("click"))}))]);case 3:r.sent(),r.label=4;case 4:return[2,{modelArtifactsInfo:$f(t)}]}}))}))},t.URL_SCHEME="downloads://",t}(),kd=function(){function t(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}return 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o=Lt.registeredVariables[n];if(null==e.accumulations[r]){e.accumulations[r]={originalName:n+"/momentum",variable:Ze((function(){return Xn(o).variable(!1)}))}}var a=e.accumulations[r].variable,i=Array.isArray(t)?t[r].tensor:t[n];null!=i&&Ze((function(){var t,n=e.m.mul(a).add(i);t=e.useNesterov?e.c.mul(i.add(n.mul(e.m))).add(o):e.c.mul(n).add(o),a.assign(n),o.assign(t)}))})),this.incrementIterations()},o.prototype.dispose=function(){this.m.dispose(),null!=this.accumulations&&tn(this.accumulations.map((function(t){return t.variable})))},o.prototype.setMomentum=function(t){this.momentum=t},o.prototype.getWeights=function(){return n(this,void 0,void 0,(function(){return r(this,(function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(this.accumulations.map((function(t){return{name:t.originalName,tensor:t.variable}})))]}}))}))},o.prototype.setWeights=function(t){return n(this,void 0,void 0,(function(){return r(this,(function(e){switch(e.label){case 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o=Lt.registeredVariables[n];null==e.accumulatedMeanSquares[r]&&(e.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:Ze((function(){return Xn(o).variable(!1)}))}),null==e.accumulatedMoments[r]&&(e.accumulatedMoments[r]={originalName:n+"/momentum",variable:Ze((function(){return Xn(o).variable(!1)}))}),null==e.accumulatedMeanGrads[r]&&e.centered&&(e.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:Ze((function(){return Xn(o).variable(!1)}))});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var i=e.accumulatedMeanSquares[r].variable,s=e.accumulatedMoments[r].variable;Ze((function(){var t=i.mul(e.decay).add(a.square().mul(1-e.decay));if(e.centered){var n=e.accumulatedMeanGrads[r].variable,u=n.mul(e.decay).add(a.mul(1-e.decay)),c=s.mul(e.momentum).add(a.mul(e.learningRate).div(t.sub(u.square().add(e.epsilon)).sqrt()));i.assign(t),n.assign(u),s.assign(c);var l=o.sub(c);o.assign(l)}else{var 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n(this,void 0,void 0,(function(){var e;return r(this,(function(n){switch(n.label){case 0:return[4,this.extractIterations(t)];case 1:return t=n.sent(),e=this.centered?t.length/3:t.length/2,!1,this.accumulatedMeanSquares=t.slice(0,e).map((function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}})),this.accumulatedMoments=t.slice(e,2*e).map((function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}})),this.centered&&(this.accumulatedMeanGrads=t.slice(2*e,3*e).map((function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}))),[2]}}))}))},o.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},o.fromConfig=function(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)},o.className="RMSProp",o}(Xd);Hd(ep);var np=function(){function t(){}return t.sgd=function(t){return new Zd(t)},t.momentum=function(t,e,n){return void 0===n&&(n=!1),new tp(t,e,n)},t.rmsprop=function(t,e,n,r,o){return void 0===e&&(e=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===o&&(o=!1),new ep(t,e,n,r,o)},t.adam=function(t,e,n,r){return void 0===t&&(t=.001),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),new Qd(t,e,n,r)},t.adadelta=function(t,e,n){return void 0===t&&(t=.001),void 0===e&&(e=.95),void 0===n&&(n=null),new Yd(t,e,n)},t.adamax=function(t,e,n,r,o){return void 0===t&&(t=.002),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===o&&(o=0),new Jd(t,e,n,r,o)},t.adagrad=function(t,e){return void 0===e&&(e=.1),new $d(t,e)},t}(),rp={sgd:np.sgd,momentum:np.momentum,adadelta:np.adadelta,adagrad:np.adagrad,rmsprop:np.rmsprop,adamax:np.adamax,adam:np.adam},op="undefined"!=typeof requestAnimationFrame?requestAnimationFrame:"undefined"!=typeof setImmediate?setImmediate:function(t){return t()};function ap(){return new Promise((function(t){return op((function(){return 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0===o&&(o=[1,1]),this.throwIfDisposed(),xt.depthwiseConv2d(this,t,e,n,r,o,a)},t.prototype.separableConv2d=function(t,e,n,r,o,a){return void 0===o&&(o=[1,1]),void 0===a&&(a="NHWC"),this.throwIfDisposed(),xt.separableConv2d(this,t,e,n,r,o,a)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),xt.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),xt.maxPool(this,t,e,n,r)},t.prototype.localResponseNormalization=function(t,e,n,r){return void 0===t&&(t=5),void 0===e&&(e=1),void 0===n&&(n=1),void 0===r&&(r=.5),xt.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,o){return this.throwIfDisposed(),xt.pool(this,t,e,n,r,o)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),yt().makeVariable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),xt.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),xt.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),xt.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),xt.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,o,a,i,s){return void 0===r&&(r=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),this.throwIfDisposed(),xt.stridedSlice(this,t,e,n,r,o,a,i,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),xt.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),xt.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),xt.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),xt.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),xt.spectral.irfft(this)},t}();Object.defineProperty(wt,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var Ct,Et,Rt,It,kt,St=function(t){function n(e,n,r,o){var a=t.call(this,e.shape,e.dtype,e.dataId,o)||this;return a.trainable=n,a.name=r,a}return e(n,t),n.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!S(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");yt().disposeTensor(this),this.dataId=t.dataId,yt().incRef(this,null)},n.prototype.dispose=function(){yt().disposeVariable(this),this.isDisposedInternal=!0},n}(wt);Object.defineProperty(St,Symbol.hasInstance,{value:function(t){return t instanceof wt&&null!=t.assign&&t.assign instanceof Function}}),function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(Ct||(Ct={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(Et||(Et={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(Rt||(Rt={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(It||(It={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(kt||(kt={}));var At={float32:It,int32:Et,bool:Rt,complex64:kt};function Tt(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return At[t][e]}function Dt(t){return Tt(t,"int32")}function Nt(t,e){if(t.dtype===e.dtype)return[t,e];var n=Tt(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function Ft(t,e){C(t.dtype===e.dtype,(function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"}))}function _t(t){var e=[];return function t(e,n,r){if(null==e)return;if(e instanceof wt)return void n.push(e);if(o=e,!Array.isArray(o)&&"object"!=typeof o)return;var o;var a=e;for(var i in a){var s=a[i];r.has(s)||(r.add(s),t(s,n,r))}}(t,e,new Set),e}var Ot,Mt=Object.freeze({makeTypesMatch:Nt,assertTypesMatch:Ft,isTensorInList:function(t,e){return e.some((function(e){return e.id===t.id}))},getTensorsInContainer:_t}),Bt=function(){function t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),Pt=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Bt}return t.prototype.ready=function(){return n(this,void 0,void 0,(function(){var t,e,n;return r(this,(function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then((function(){}))];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}}))}))},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return n(this,void 0,void 0,(function(){var e,n,o;return r(this,(function(r){switch(r.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return o=r.sent(),[3,3];case 2:o=n,r.label=3;case 3:if(!o)return[2,!1];r.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new ut(this.backendInstance),[2,!0]}}))}))},t.prototype.setupRegisteredKernels=function(){var t=this;f(this.backendName).forEach((function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)}))},t.prototype.disposeRegisteredKernels=function(t){var e=this;f(t).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])}))},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var o=++this.pendingBackendInitId,a=r.then((function(n){return!(o<e.pendingBackendInitId)&&(e.registry[t]=n,e.pendingBackendInit=null,!0)})).catch((function(n){return!(o<e.pendingBackendInitId)&&(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),!1)}));return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority}))},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),o=r.success,a=r.asyncInit;if(a||o)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,o=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,o=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=t}return this.scopedRun((function(){return r.startScope(o)}),(function(){return r.endScope(n)}),(function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],(function(t){return{x:function(){return t.toFloat()}}}),[],{}),e},t.prototype.runKernel=function(t,e,n,r,o){return this.runKernelFunc(null,e,null,t,n,r,o)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),o=0;n.forEach((function(t){o+="complex64"===t.dtype?3:1}));var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-e-o-a;if(i>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+i+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,o,a,i){var s,u=this,c=[],h=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var f,d=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var v,g=l(r,this.backendName);if(null!=g)f=function(){var t=u.backend.numDataIds();v=g.kernelFunc({inputs:e,attrs:o,backend:u.backend});var n=Array.isArray(v)?v:[v];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n);var s=n.map((function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)}));if(h){var l=u.getTensorsForGradient(r,e,s);if(null==l){null==i&&(i=[]);var f=s.filter((function(t,e){return i[e]}));l=(a||[]).slice().concat(f)}c=u.saveTensorsForBackwardMode(l)}return s};else{var m=function(t){h&&(c=t.map((function(t){return u.keep(u.clone(t))})))};f=function(){var e=u.backend.numDataIds();v=u.tidy((function(){return t(u.backend,m)}));var n=Array.isArray(v)?v:[v];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n),n}}return this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(r,e,(function(){return f()})):f()})),h&&this.addTapeNode(r,e,s,n,c,o),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-d,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map((function(t){return e[t].shape})),outputShapes:s.map((function(t){return t.shape}))}),Array.isArray(v)?s:s[0]},t.prototype.saveTensorsForBackwardMode=function(t){var e=this;return t.map((function(t){return e.keep(e.clone(t))}))},t.prototype.getTensorsForGradient=function(t,e,n){var r=h(t);if(null!=r){var o=r.inputsToSave||[],a=r.outputsToSave||[],i=void 0;r.saveAllInputs?(C(Array.isArray(e),(function(){return"saveAllInputs is true, expected inputs to be an array."})),i=Object.keys(e).map((function(t){return e[t]}))):i=o.map((function(t){return e[t]}));var s=n.filter((function(t,e){return a[e]}));return i.concat(s)}return null},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var o=t;"string"===n&&H(t[0])&&(o=t.map((function(t){return rt(t)})));var a=r.write(o,e,n),i=new wt(e,n,a,this.nextTensorId());if(this.incRef(i,r),"string"===n){var s=this.state.tensorInfo.get(a),u=G(o);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},t.prototype.makeTensorFromDataId=function(t,e,n,r){var o=new wt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(o,r),o},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var o=new St(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[o.name])throw new Error("Variable with name "+o.name+" was already registered");return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o},t.prototype.incRef=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*z(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof St||this.track(t)},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return n(this,void 0,void 0,(function(){var e,n;return r(this,(function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map((function(t){return t.totalBytesSnapshot}))),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]}))}))},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n,r,o,a){var i=this,s={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:n,saved:o},u=h(t);null!=u&&(r=u.gradFunc),null!=r&&(s.gradient=function(t){return t=t.map((function(t,e){if(null==t){var r=n[e],o=tt(r.size,r.dtype);return i.makeTensor(o,r.shape,r.dtype)}return t})),r(t.length>1?t:t[0],o,a)}),this.state.activeTape.push(s)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=_t(t),r=new Set(n.map((function(t){return t.id}))),o=0;o<this.state.activeScope.track.length;o++){var a=this.state.activeScope.track[o];a.kept||r.has(a.id)||a.dispose()}var i=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(t){t.kept||t.scopeId!==i.id||e.track(t)}))},t.prototype.gradients=function(t,e,n,r){var o=this;if(void 0===r&&(r=!1),C(e.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '"+n.dtype+"'");var a=this.scopedRun((function(){return o.startTape()}),(function(){return o.endTape()}),(function(){return o.tidy("forward",t)}));C(a instanceof wt,(function(){return"The result y returned by f() must be a tensor."}));var i=function(t,e,n){for(var r={},o={},a=0;a<e.length;a++)r[e[a].id]=!0;for(a=0;a<t.length;a++){var i=(p=t[a]).inputs;for(var s in i){for(var u=i[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){p.outputs.forEach((function(t){return r[t.id]=!0})),c=!0,o[p.id]=!0;break}if(c)break}}var h={};h[n.id]=!0;var f={};for(a=t.length-1;a>=0;a--)for(i=(p=t[a]).inputs,l=0;l<p.outputs.length;l++)if(h[p.outputs[l].id]){for(var s in i)h[i[s].id]=!0,f[p.id]=!0;break}var d=[];for(a=0;a<t.length;a++){var p;if(o[(p=t[a]).id]&&f[p.id]){var v={};for(var s in p.inputs){var g=p.inputs[s];r[g.id]&&(v[s]=g)}var m=Object.assign({},p);m.inputs=v,m.outputs=p.outputs,d.push(m)}}return d}(this.state.activeTape,e,a);if(!r&&0===i.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",(function(){var t,r,s={};s[a.id]=null==n?(t=a.shape,r=Z(k(t),"float32"),Lt.makeTensor(r,t,"float32")):n,function(t,e,n){for(var r=function(r){var o=e[r],a=[];if(o.outputs.forEach((function(e){var n=t[e.id];null!=n?a.push(n):a.push(null)})),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+o.kernelName+".");var i=o.gradient(a),s=function(e){if(!(e in i))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(i)+".");var r=n((function(){return i[e]()}));if("float32"!==r.dtype)throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=o.inputs[e];if(!S(r.shape,a.shape))throw new Error("Error in gradient for op "+o.kernelName+". 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Ha=function(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((function(t,e){return"T"+e}));var n=[];this.variableNames.forEach((function(t){n.push("float v"+t+" = get"+t+"AtOutCoords();")}));var r=this.variableNames.map((function(t){return"v"+t})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "},qa=function(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((function(t,e){return"T"+e}));var n=[];this.variableNames.forEach((function(t){n.push("vec4 v"+t+" = get"+t+"AtOutCoords();")}));var r=this.variableNames.map((function(t){return"v"+t})).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "},Ka=function(t,e,n){this.variableNames=["A"];var r=t.windowSize,o=t.batchSize,a=t.inSize,i=Math.ceil(a/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[o,i];var s="max"===e?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "};function ja(t,e){return["x","y","z","w","u","v"].slice(0,e).map((function(e){return t+"."+e}))}function Xa(t,e){return 1===e?[t]:ja(t,e)}function Ya(){var t,e,n,r,o,a,s,u,c,l;return 2===i().getNumber("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",o="texture",a="outputColor",s="out vec4 outputColor;",u="\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",c="",l="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(t="",e="attribute",n="varying",r="varying",o="texture2D",a="gl_FragColor",s="",u="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",c="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",l="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "),{version:t,attribute:e,varyingVs:n,varyingFs:r,texture2D:o,output:a,defineOutput:s,defineSpecialNaN:u,defineSpecialInf:c,defineRound:l}}function $a(t,e,n){void 0===n&&(n="index");var r=$(e);return r.map((function(e,o){return"int "+t[o]+" = "+n+" / "+e+"; "+(o===r.length-1?"int "+t[o+1]+" = "+n+" - "+t[o]+" * "+e:"index -= "+t[o]+" * "+e)+";"})).join("")}function Qa(t){var e=$(t).map((function(t){return t.toString()}));return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+e[0]+" + coords.y * "+e[1]+" + coords.z;\n  }\n"}var Ja="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n";function Za(t,e,n,r){var o=[];t.forEach((function(t){var e=k(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?o.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(o.push("uniform sampler2D "+t.name+";"),o.push("uniform int offset"+t.name+";"))}));var a,i,s=o.join("\n"),u=t.map((function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?ei(t):ti(t);var o=t.shapeInfo.logicalShape,a=e.logicalShape;o.length<=a.length&&(r+=n?function(t,e){var n,r=t.name,o=r.charAt(0).toUpperCase()+r.slice(1),a="get"+o+"AtOutCoords",i=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=Mr(t.shapeInfo.logicalShape,e.logicalShape),c=ui(s),l=s-i,h=["x","y","z","w","u","v"];n=0===i?"":s<2&&u.length>=1?"coords = 0;":u.map((function(t){return"coords."+h[t+l]+" = 0;"})).join("\n");var f="";f=s<2&&i>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+h[e+l]})).join(", ");var d="return outputValue;",p=1===k(t.shapeInfo.logicalShape),v=1===k(e.logicalShape);if(1!==i||p||v){if(p&&!v)d=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var g=i-2,m=i-1;u.indexOf(g)>-1&&u.indexOf(m)>-1?d="return vec4(outputValue.x);":u.indexOf(g)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(m)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}}else d="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+o+"("+f+");\n      "+d+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),o="get"+r+"AtOutCoords",a=e.texShape,i=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&S(i,a))return"\n      float "+o+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c,l=ui(u),h=Mr(t.shapeInfo.logicalShape,e.logicalShape),f=u-s,d=["x","y","z","w","u","v"];c=0===s?"":u<2&&h.length>=1?"coords = 0;":h.map((function(t){return"coords."+d[t+f]+" = 0;"})).join("\n");var p="";p=u<2&&s>0?"coords":t.shapeInfo.logicalShape.map((function(t,e){return"coords."+d[e+f]})).join(", ");return"\n    float "+o+"() {\n      "+l+" coords = getOutputCoords();\n      "+c+"\n      return get"+r+"("+p+");\n    }\n  "}(t,e));return r}(t,e,r)})).join("\n"),c=e.texShape,l=Ya(),h=function(t){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+t.texture2D+"(textureSampler, uv).r;\n    }\n  "}(l),f=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+t.defineSpecialNaN+"\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+ni+"\n    "+ri+"\n    "+oi+"\n  "}(l);return e.isPacked?(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(1===n[0])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ";if(1===n[1])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(S(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Math.ceil(n[2]/2),i=a*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+o[0]+", "+o[1]+"));\n      int index = resTexRC.x * "+o[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),o=r*Math.ceil(t[t.length-2]/2),a=o,i="",s="b, r, c",u=2;u<t.length-1;u++)a*=t[t.length-u-1],i="\n      int b"+u+" = index / "+a+";\n      index -= b"+u+" * "+a+";\n    "+i,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+i+"\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,o,a,i}(e.logicalShape,c),i=function(t){return"\n    void setOutput(vec4 val) {\n      "+t.output+" = val;\n    }\n  "}(l)):(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){if(1===e[0])return"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ";if(1===e[1])return"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){if(S(t,e))return"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ";if(1===t[1])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ";if(1===t[0])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=$a(["r","c","d"],t),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(t,e){var n=$a(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=$a(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=$a(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,c),i=function(t){return"\n    void setOutput(float val) {\n      "+t.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(l)),r&&(f+=ai),[f,h,i,s,a,u,n].join("\n")}function ti(t){var e=t.shapeInfo.logicalShape;switch(e.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===o&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=t.shapeInfo.texShape,s=i[0],u=i[1],c=ii(e);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+c+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+si(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===a&&1===o)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=ii(e);if(1===a)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+i+") + 0.5) / "+o+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ";if(1===o)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+i+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ";return"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+o+", "+a+", index + "+i+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape;if(null!=o&&S(e,o)){var a=o[0],i=o[1];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var s=M(e),u=s.newShape,c=s.keptDims,l=u;if(l.length<e.length){var h=ci(t,l);return"\n      "+ti(h)+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+li(["row","col"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+si(t)+"\n      }\n    ";var f=o[0],d=o[1],p=ii(n);if(1===d)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";if(1===f)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+p+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+d+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+p+";\n    vec2 uv = uvFromFlat("+f+", "+d+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[1]*e[2],a=e[2],i=M(e),s=i.newShape,u=i.keptDims,c=s;if(c.length<e.length){var l=ci(t,c);return"\n        "+ti(l)+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+li(["row","col","depth"],u)+");\n        }\n      "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+o+", "+a+", 1)));\n        "+si(t)+"\n      }\n    ";var h=t.shapeInfo.texShape,f=h[0],d=h[1],p=t.shapeInfo.flatOffset;if(d===o&&null==p)return"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+d+".0, "+f+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ";if(d===a&&null==p)return"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+d+".0, "+f+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";var v=ii(n);return"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+o+" + col * "+a+" + depth + "+v+";\n        vec2 uv = uvFromFlat("+f+", "+d+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[3],a=e[2]*o,i=e[1]*a,s=M(e),u=s.newShape,c=s.keptDims;if(u.length<e.length){var l=ci(t,u);return"\n      "+ti(l)+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+li(["row","col","depth","depth2"],c)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+i+", "+a+", "+o+", 1)));\n        "+si(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,f=t.shapeInfo.texShape,d=f[0],p=f[1];if(p===i&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+p+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(p===o&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+p+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=ii(n);return"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+i+" + col * "+a+" +\n          depth * "+o+" + depth2;\n      vec2 uv = uvFromFlat("+d+", "+p+", index + "+v+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[4],a=e[3]*o,i=e[2]*a,s=e[1]*i,u=M(e),c=u.newShape,l=u.keptDims;if(c.length<e.length){var h=ci(t,c);return"\n      "+ti(h)+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+li(["row","col","depth","depth2","depth3"],l)+");\n      }\n    "}if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+i+", "+a+", "+o+")) +\n          depth3;\n        "+si(t)+"\n      }\n    ";var f=t.shapeInfo.flatOffset,d=t.shapeInfo.texShape,p=d[0],v=d[1];if(v===s&&null==f)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+i+", "+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===o&&null==f)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+p+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=ii(n);return"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+i+" + depth * "+a+" +\n          depth2 * "+o+" + depth3 + "+g+";\n      vec2 uv = uvFromFlat("+p+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=M(e),a=o.newShape,i=o.keptDims;if(a.length<e.length){var s=ci(t,a);return"\n      "+ti(s)+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+li(["row","col","depth","depth2","depth3","depth4"],i)+");\n      }\n    "}var u=e[5],c=e[4]*u,l=e[3]*c,h=e[2]*l,f=e[1]*h;if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+f+", "+h+", "+l+", "+c+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+u+", 1)));\n        "+si(t)+"\n      }\n    ";var d=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,v=p[0],g=p[1];if(g===f&&null==d)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+h+", "+l+", "+c+", "+u+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+g+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(g===u&&null==d)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+g+".0, "+v+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var m=ii(n);return"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+f+" + col * "+h+" + depth * "+l+" +\n          depth2 * "+c+" + depth3 * "+u+" + depth4 + "+m+";\n      vec2 uv = uvFromFlat("+v+", "+g+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function ei(t){var e,n,r;switch(t.shapeInfo.logicalShape.length){case 0:return e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=Ya(),"\n    vec4 "+n+"() {\n      return "+r.texture2D+"("+e+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=Ya();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+o[0]+", "+o[1]+", index);\n      return "+a.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=o[0],i=o[1],s=Ya();if(null!=o&&S(e,o))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],c=Math.ceil(e[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+c+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===e[0]){var i=e.slice(1),s=ci(t,i);return"\n        "+ei(s)+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+li(["b","row","col"],[1,2])+");\n        }\n      "}var u=a[0],c=a[1],l=Math.ceil(e[2]/2),h=l*Math.ceil(e[1]/2),f=Ya();return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+u+", "+c+", "+h+", "+l+", b, row, col);\n      return "+f.texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,o="get"+r.charAt(0).toUpperCase()+r.slice(1),a=t.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=i[0],u=i[1],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),h="int b, int row, int col",f="b * "+l+" + (row / 2) * "+c+" + (col / 2)",d=2;d<n-1;d++)h="int b"+d+", "+h,l*=e[n-d-1],f="b"+d+" * "+l+" + "+f;var p=Ya();return"\n    vec4 "+o+"("+h+") {\n      int index = "+f+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+p.texture2D+"("+r+", uv);\n    }\n  "}(t)}}var ni="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",ri="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",oi="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",ai="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function ii(t){return"offset"+t}function si(t){var e=t.name,n=k(t.shapeInfo.logicalShape);return n<2?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function ui(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function ci(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function li(t,e){return e.map((function(e){return t[e]})).join(", ")}var hi=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,C(t.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var o=t[t.length-1],a=Math.ceil(o/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var i,s,u=this.outputShape,c=u.length,l=ui(c),h=Xa("coords",c);if(1===a){var f=ui(s=c+1);i="\n        "+f+" sourceLocR = "+f+"("+h.join()+", 0);\n        ++"+h[c-1]+";\n        "+f+" sourceLocG = "+f+"("+h.join()+", 0);\n        ++"+h[c-2]+";\n        "+f+" sourceLocA = "+f+"("+h.join()+", 0);\n        --"+h[c-1]+";\n        "+f+" sourceLocB = "+f+"("+h.join()+", 0);\n        --"+h[c-2]+";"}else s=c,i="\n        "+l+" sourceLocR = coords;\n        ++"+h[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+h[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+h[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+h[c-2]+";";var d=["x","y","z","w","u","v"].slice(0,s),p="."+d[s-1],v=d.map((function(t){return"int "+t})),g=Xa("sourceLocR",s-1).concat("inIdx.r"),m=Xa("sourceLocG",s-1).concat("inIdx.g"),y=Xa("sourceLocB",s-1).concat("inIdx.b"),x=Xa("sourceLocA",s-1).concat("inIdx.a"),b="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+m.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+x.join()+")));",E="vec4(\n            getAChannel("+g.join()+"),\n            hasNextCol ? getAChannel("+m.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+x.join()+") : 0.)",R=r?"":"\n      float getBestIndicesAChannel("+v.join()+") {\n        return getChannel(getBestIndicesA("+d.join()+"),\n                                          vec2("+d.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+v.join()+") {\n        return getChannel(getA("+d.join()+"),\n                               vec2("+d.slice(-2).join()+"));\n      }\n      "+R+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+h[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+h[c-2]+" < "+(u[c-2]-1)+";\n        "+i+"\n        ivec4 srcIdx = ivec4(sourceLocR"+p+", sourceLocG"+p+",\n          sourceLocB"+p+", sourceLocA"+p+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+E+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+E+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+b+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},fi=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,h=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+h+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+i+") {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},di=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,h=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=l-1-t.padInfo.front,p=h-1-t.padInfo.top,v=f-1-t.padInfo.left,g=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+d+", "+p+", "+v+");\n      const float avgMultiplier = float("+g+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+o+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+h+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+f+";\n                wC += "+c+") {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},pi=function(t,e,n,r,o,a){this.outputShape=[],this.variableNames=["x","mean","variance"],Pr(t,e),Pr(t,n);var i="0.0";null!=r&&(Pr(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="1.0";null!=o&&(Pr(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+i+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},vi=function(t,e,n,r,o,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Pr(t,e),Pr(t,n);var i="vec4(0.0)";null!=r&&(Pr(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=o&&(Pr(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+i+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},gi="return areal * breal - aimag * bimag;",mi="return areal * bimag + aimag * breal;",yi=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Pr(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},xi="return a + b;",bi="return a - b;",wi="return a * b;",Ci="\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",Ei="return (a < 0.) ? b * a : a;",Ri=function(t,e,n){this.variableNames=["A","B"],this.outputShape=Pr(e,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},Ii="\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n",ki="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Si=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Pr(e,n);var o=this.outputShape.length,a="";if(r)if(0===o||1===k(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+ui(o)+" coords = getOutputCoords();\n        ",1===o)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var i=Xa("coords",o);a+="\n            bool nextRowOutOfBounds =\n              ("+i[o-2]+" + 1) >= "+this.outputShape[o-2]+";\n            bool nextColOutOfBounds =\n              ("+i[o-1]+" + 1) >= "+this.outputShape[o-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+a+"\n\n        setOutput(result);\n      }\n    "},Ai=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Ti=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Di=function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},Ni=function(t){this.outputShape=[],this.outputShape=Sn(t,1),this.variableNames=t.map((function(t,e){return"T"+e}));var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var o=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+o+"));")}var a=e.length,i=e[e.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+i+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},Fi=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=Sn(t,e);var n=this.outputShape,r=n.length,o=ui(r),a=Xa("coords",r),i=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map((function(t,e){return"T"+e}));var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var c=i[e],l=i.slice(-2),h=i.join(),f="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+h+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var d=s[u-1];f+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+_i(i,c,d)+"),\n            vec2("+_i(l,c,d)+"));\n        }"}var p=s.length,v=s[s.length-1];f+="\n        return getChannel(\n          getT"+p+"("+_i(i,c,v)+"),\n          vec2("+_i(l,c,v)+"));",this.userCode="\n      float getValue("+i.map((function(t){return"int "+t}))+") {\n        "+f+"\n      }\n\n      void main() {\n        "+o+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function _i(t,e,n){var r=t.indexOf(e);return t.map((function(t,e){return e===r?t+" - "+n:t})).join()}var Oi=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Mi=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a="channelsLast"===t.dataFormat,i=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n\n              if ("+a+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Bi=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.padInfo.front,a=t.padInfo.top,i=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+o+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+a+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+i+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Pi=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+o+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Li=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a=t.outChannels/t.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+a+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Wi=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=e-1-t.padInfo.top,i=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ui=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,a=t.padInfo.left,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterHeight,h=t.filterWidth,f=4*Math.floor(t.inChannels/4),d=t.inChannels%4,p="channelsLast"===t.dataFormat,v=p?1:2,g=p?2:3,m=p?3:1,y="",x="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",x="result = activation(result);");var b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+m+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+v+"], coords["+g+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+h+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+p+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===d)+") {\n\n              if ("+p+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+f+") *\n                    getW(wR, wC, "+f+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+f+", xR, xC) *\n                    getW(wR, wC, "+f+", d2);\n              }\n\n            } else if ("+(2===d)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2)\n              );\n\n              if ("+p+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===d)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+f+", d2),\n                getW(wR, wC, "+f+" + 1, d2),\n                getW(wR, wC, "+f+" + 2, d2)\n              );\n\n              if ("+p+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+f+"),\n                  getX(batch, xR, xC, "+f+" + 1),\n                  getX(batch, xR, xC, "+f+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+f+", xR, xC),\n                  getX(batch, "+f+" + 1, xR, xC),\n                  getX(batch, "+f+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+b+"\n        "+x+"\n        setOutput(result);\n      }\n    "},Vi=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,h=t.filterHeight,f=t.filterWidth,d=4*Math.floor(t.inChannels/4),p=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+o+", "+a+", "+i+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+h+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+f+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+d+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===p)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+d+") *\n                  getW(wF, wR, wC, "+d+", d2);\n              } else if ("+(2===p)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+d+"),\n                  getX(batch, xF, xR, xC, "+d+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+d+", d2),\n                  getW(wF, wR, wC, "+d+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===p)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+d+"),\n                  getX(batch, xF, xR, xC, "+d+" + 1),\n                  getX(batch, xF, xR, xC, "+d+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+d+", d2),\n                  getW(wF, wR, wC, "+d+" + 1, d2),\n                  getW(wF, wR, wC, "+d+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},zi=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,p=t.outChannels/t.inChannels,v="",g="";n&&(v=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",g="result = activation(result);");var m=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+v+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+p+";\n        int q = d2 - d1 * "+p+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+f+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+o+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+d+"; wC++) {\n            int xC = xCCorner + wC * "+h+";\n\n            if (xC < 0 || xC >= "+a+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+m+"\n        "+g+"\n        setOutput(result);\n      }\n    "},Gi=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,h=t.dilationWidth,f=t.filterHeight,d=t.filterWidth,p=d,v="int xR; int xC; int xCOffset;",g=0;g<f;g++)for(var m=0;m<d;m++)v+="\n          vec4 xTexelR"+g+"C"+2*m+" = vec4(0.);\n          vec4 wR"+g+"C"+m+" = vec4(0.);\n          vec4 xR"+g+"C"+m+" = vec4(0.);";for(g=0;g<f;g++)for(var y=0;y<p;y++){if(v+="\n          xR = xRCorner + "+g*l+";\n          xC = xCCorner + "+(m=2*y)*h+";\n        ",1===c){if(m<d&&(v+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+m+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    xTexelR"+g+"C"+m+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+g+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+a+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+g+"C"+m+" = vec4(previous.zw, xTexelR"+g+"C"+m+".xy);\n                } else {\n                  xR"+g+"C"+m+" = vec4(0, 0, xTexelR"+g+"C"+m+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+o+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+m+" = vec4(0.);\n                }\n\n                xR"+g+"C"+m+" = xTexelR"+g+"C"+m+";\n              ",m+1<d)){var x=s%2==0?b(h):h;h%2==0&&s%2==1||h%2!=0&&s%2!=1?(v+="\n                  xCOffset = xC + "+s%2+" + "+x+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",h>1&&(v+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+o+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+g+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+g+"C"+m+" = vec4(0.);\n                    }\n                  "),v+="\n                  xR"+g+"C"+(m+1)+" = vec4(\n                    xTexelR"+g+"C"+m+".zw, xTexelR"+g+"C"+(m+2)+".xy);\n                "):v+="\n                  xCOffset = xC + "+x+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+g+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+g+"C"+(m+1)+" = xTexelR"+g+"C"+(m+2)+";\n                "}}else m<d&&(v+="\n              if(xR >= 0 && xR < "+o+") {\n            ",s%2==1?(v+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+m+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+m+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+g+"C"+(m+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+g+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+m+" = vec4(\n                  xTexelR"+g+"C"+m+".zw, xTexelR"+g+"C"+(m+2)+".zw);\n              ",m+1<d&&(v+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+g+"C"+(m+1)+" = vec4(xTexelR"+g+"C"+(m+2)+".xy, final.xy);\n                ")):(v+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+g+"C"+m+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+g+"C"+m+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+g+"C"+(m+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+g+"C"+(m+2)+" = vec4(0.);\n                }\n\n                xR"+g+"C"+m+" = vec4(\n                  xTexelR"+g+"C"+m+".xy, xTexelR"+g+"C"+(m+2)+".xy);\n              ",m+1<d&&(v+="\n                  xR"+g+"C"+(m+1)+" = vec4(\n                    xTexelR"+g+"C"+m+".zw, xTexelR"+g+"C"+(m+2)+".zw);\n                ")),v+="}");m<d&&(v+="\n            vec4 wTexelR"+g+"C"+m+" = getW("+g+", "+m+", d1, q);\n            wR"+g+"C"+m+" = vec4(wTexelR"+g+"C"+m+".xz, wTexelR"+g+"C"+m+".xz);\n          ",m+1<d&&(v+="\n              vec4 wTexelR"+g+"C"+(m+1)+" = getW("+g+", "+(m+1)+", d1, q);\n              wR"+g+"C"+(m+1)+" =\n                vec4(wTexelR"+g+"C"+(m+1)+".xz, wTexelR"+g+"C"+(m+1)+".xz);"))}for(g=0;g<f;g++)for(m=0;m<d;m++)v+="dotProd += xR"+g+"C"+m+" * wR"+g+"C"+m+";";var w="",C="";n&&(w=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",C="result = activation(result);");var E=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+w+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+v+"\n\n        vec4 result = dotProd;\n        "+E+"\n        "+C+"\n        setOutput(result);\n      }\n    "},Hi=function(t,e,n,r,o){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=t[0],i=t[1],s=t[2],u=t[3],c=e[0],l=n[0],h=n[1];this.outputShape=[c,l,h,u];var f="bilinear"===r?1:0,d=[i-1+".0",s-1+".0"],p=d[0],v=d[1],g=l>1?[""+(i-1)/(l-1),"(y2-y1) * height_ratio","y1*"+p+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+p],m=g[0],y=g[1],x=g[2],b=h>1?[""+(s-1)/(h-1),"(x2-x1) * width_ratio","x1*"+v+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+v],w=b[0],C=b[1],E=b[2];this.userCode="\n      const float height_ratio = float("+m+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+y+";\n        float width_scale = "+C+";\n\n        float in_y = "+x+";\n        if( in_y < 0.0 || in_y > "+p+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+v+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+f+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},qi=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,o=t[t.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+o+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+ui(r)+" coords = getOutputCoords();\n        int end = "+Ki(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+o+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+a+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+Ki(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===t)return""+e;if(2===t)return e+".x, "+e+".y";if(3===t)return e+".x, "+e+".y, "+e+".z";if(4===t)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function Ki(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var ji=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Vt.DENSE;var e=Yt(t),n=Ya();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+$a(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},Xi=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Vt.DENSE;var e=Yt(t),n=Ya();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+$a(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},Yi=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),$i=function(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},Qi=function(t){this.variableNames=["A"],this.outTexUsage=zt.DOWNLOAD;var e=Ya();this.outputShape=t,this.userCode="\n      "+Ja+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},Ji=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=zt.DOWNLOAD;var e=Ya();this.outputShape=t,this.userCode="\n      "+Ja+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+e.output+" = encode_float(x);\n      }\n    "},Zi=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=Ya(),o=e[0],a=e[1];this.outputShape=t;var i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode="\n      "+Qa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+i+", 0., 0., 0.);\n      }\n    "},ts=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=Ya(),o=e[0],a=e[1];this.outputShape=t;var i="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;i+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+t[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+Qa(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        "+i+"\n\n        "+r.output+" = "+s+";\n      }\n    "},es="return real * expR - imag * expI;",ns="return real * expI + imag * expR;",rs=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var o=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+o+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},os=function(){function t(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.valueLoc&&(e.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(e.valueLoc,t)}},t}(),as=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var o=ui(this.rank),a=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],a=0;a<t.length;a++)a===e?o.push("int(getIndices("+r[a]+"))"):o.push(""+r[a]);return o.join()}(t,n);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var is=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=ui(e.length),o=ui(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+o+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+a+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function ss(t,e){var n=Ya();return oe(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function us(t,e){return fe(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function cs(t,e){return de(t,e,new Uint16Array([0,1,2,2,1,3]))}function ls(t,e,n,r,o,a,i){ve(n,r);var s=pe(t,e),u=t.TEXTURE_2D;return Jt(t,e,(function(){return t.bindTexture(u,s)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)})),Jt(t,e,(function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)})),Jt(t,e,(function(){return t.texImage2D(u,0,o,n,r,0,a,i,null)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)})),s}function hs(t,e,n,r,o){var a=Xt(n,r);return ls(t,e,a[0],a[1],o.internalFormatFloat,o.textureFormatFloat,t.FLOAT)}function fs(t,e,n,r,o){var a=Xt(n,r);return ls(t,e,a[0],a[1],o.internalFormatHalfFloat,o.textureFormatFloat,o.textureTypeHalfFloat)}function ds(t,e,n,r,o){var a=Xt(n,r);return ls(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function ps(t,e,n,r,o){var a=$t(n,r);return ls(t,e,a[0],a[1],o.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function vs(t,e,n,r,o){var a=$t(n,r);return ls(t,e,a[0],a[1],o.internalFormatPackedHalfFloat,t.RGBA,o.textureTypeHalfFloat)}function gs(t,e,n,r){return Jt(t,e,(function(){return t.bindBuffer(t.ARRAY_BUFFER,r)})),me(t,e,n,"clipSpacePos",r,3,20,0)&&me(t,e,n,"uv",r,2,20,12)}function ms(t,e,n,r,o,a,i){var s,u,c;Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),a instanceof Uint8Array?(s=new Uint8Array(r*o*4),u=t.UNSIGNED_BYTE,c=t.RGBA):(s=new Float32Array(r*o*4),u=t.FLOAT,c=i.internalFormatPackedFloat),s.set(a),Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,c,r,o,0,t.RGBA,u,s)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)}))}function ys(t,e,n,r){Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,n)})),r.data instanceof Uint8Array?Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,r.width,r.height,0,t.RGBA,t.UNSIGNED_BYTE,r.data)})):Jt(t,e,(function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r)})),Jt(t,e,(function(){return t.bindTexture(t.TEXTURE_2D,null)}))}function xs(t,e,n,r,o){var a=t.createBuffer();Jt(t,e,(function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,a)}));var i=16*n*r;return Jt(t,e,(function(){return t.bufferData(t.PIXEL_PACK_BUFFER,i,t.STREAM_READ)})),Jt(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,0)})),Jt(t,e,(function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,null)})),a}function bs(t,e,n){var r=t,o=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,o),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),o}function ws(t,e,n,r,o){var a=Xt(n,r),i=a[0],s=a[1],u=new Uint8Array(n*r*4);return Jt(t,e,(function(){return t.readPixels(0,0,i,s,o.downloadTextureFormat,t.UNSIGNED_BYTE,u)})),new Float32Array(u.buffer)}function Cs(t,e,n,r,o,a,i,s){var u=t,c=new Float32Array(function(t,e){var n=$t(t,e);return n[0]*n[1]*4}(a,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function Es(t,e,n,r){var o=new Float32Array(n*r*4);return Jt(t,e,(function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,o)})),o}var Rs=Object.freeze({createVertexShader:ss,createVertexBuffer:us,createIndexBuffer:cs,createFloat32MatrixTexture:hs,createFloat16MatrixTexture:fs,createUnsignedBytesMatrixTexture:ds,createPackedMatrixTexture:ps,createFloat16PackedMatrixTexture:vs,bindVertexProgramAttributeStreams:gs,uploadDenseMatrixToTexture:ms,uploadPixelDataToTexture:ys,createBufferFromOutputTexture:xs,downloadFloat32MatrixFromBuffer:bs,downloadByteEncodedFloatMatrixFromOutputTexture:ws,downloadPackedMatrixFromBuffer:Cs,downloadMatrixFromPackedOutputTexture:Es}),Is=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=i().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,Kt(e,t)):this.gl=jt(e);var n="WEBGL_color_buffer_float";if(1===i().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=re(this.gl,this.debug,"OES_texture_float"),Pe(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=re(this.gl,this.debug,"OES_texture_half_float");else if(i().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Pe(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=re(this.gl,this.debug,"EXT_color_buffer_half_float");else if(i().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Pe(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!Pe(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=us(this.gl,this.debug),this.indexBuffer=cs(this.gl,this.debug),this.framebuffer=ge(this.gl,this.debug),this.textureConfig=Qt(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return i().getBool("DEBUG")},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;Jt(e,this.debug,(function(){return e.finish()})),Jt(e,this.debug,(function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)})),Jt(e,this.debug,(function(){return e.deleteFramebuffer(t.framebuffer)})),Jt(e,this.debug,(function(){return e.bindBuffer(e.ARRAY_BUFFER,null)})),Jt(e,this.debug,(function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)})),Jt(e,this.debug,(function(){return e.deleteBuffer(t.indexBuffer)})),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),hs(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),fs(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),ds(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),ys(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),ms(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),vs(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),ps(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(Ee(this.gl,this.debug,this.framebuffer),this.outputTexture=null),Jt(this.gl,this.debug,(function(){return e.gl.deleteTexture(t)}))},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return ws(r.gl,r.debug,e,n,r.textureConfig)}))},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,o,a){return Cs(this.gl,t,0,0,0,o,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return bs(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=xs(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(i().getBool("WEBGL_FENCE_API_ENABLED")){var o=t,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=o.clientWaitSync(a,0,0);return t===o.ALREADY_SIGNALED||t===o.CONDITION_SATISFIED},e=a}else i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,(function(){return Es(r.gl,r.debug,e,n)}))},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=ae(e,this.debug,t),r=ss(e,this.debug),o=ce(e,this.debug);return Jt(e,this.debug,(function(){return e.attachShader(o,r)})),Jt(e,this.debug,(function(){return e.attachShader(o,n)})),le(e,this.debug,o),this.debug&&he(e,this.debug,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=gs(e,this.debug,this.program,this.vertexBuffer)),o},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&Jt(this.gl,this.debug,(function(){return e.gl.deleteProgram(t)}))},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&he(this.gl,this.debug,this.program),Jt(this.gl,this.debug,(function(){return e.gl.useProgram(t)}))},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?xe(this.gl,this.debug,t,e):be(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return n.gl.getAttribLocation(t,e)}))},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),we(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=$t(e,n),o=r[0],a=r[1];this.setOutputMatrixTextureDriver(t,o,a)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&he(this.gl,this.debug,this.program),Re(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),Jt(t,this.debug,(function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)}))},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return t.gl.finish()}))},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=re(this.gl,this.debug,2===i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),o=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,o),o},t.prototype.endQuery=function(){if(2!==i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return n(this,void 0,void 0,(function(){var e=this;return r(this,(function(n){switch(n.label){case 0:return[4,F((function(){return e.disposed||e.isQueryAvailable(t,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}))];case 1:return n.sent(),[2,this.getQueryTime(t,i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}}))}))},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),o=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint}o=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise((function(n){e.addItemToPoll((function(){return t.isFencePassed()}),(function(){return n()}))}))},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length;++e){if(!t[e]())break}return e-1}(this.itemsToPoll.map((function(t){return t.isDoneFn}))),e=0;e<=t;++e){(0,this.itemsToPoll[e].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||F((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),Ce(this.gl,this.debug,t,this.framebuffer),this.debug&&Re(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(Ce(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&Re(this.gl)):Ee(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;Ce(r,this.debug,t,this.framebuffer),this.debug&&Re(r),this.outputTexture=t,Jt(r,this.debug,(function(){return r.viewport(0,0,e,n)})),Jt(r,this.debug,(function(){return r.scissor(0,0,e,n)}))},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var o=this;this.throwIfDisposed(),Jt(this.gl,this.debug,(function(){return o.gl.scissor(t,e,n,r)}))},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function ks(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach((function(t,n){var r=t.logicalShape,o=e[n],a=o.shape;if(!S(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!t.isUniform||!o.isUniform){var i=t.texShape,s=o.isUniform?null:o.texData.texShape;if(!S(i,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+i+" and "+s+" must match")}}))}var Ss=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,o=n.inChannels,a=n.strideWidth,i=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,h=n.dataFormat,f=s.left,d=s.top,p=o*r,v=Ya(),g="channelsLast"===h,m=g?0:1,y=g?1:2,x="",b=0;b<=1;b++)for(var w=0;w<=1;w++)x+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+b+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+i+" - "+d+";\n            d0 = offsetY + "+l+" * (pos / "+p+");\n\n            if(d0 < "+e[m]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+f+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+p+".) / "+o+".));\n\n              if(d1 < "+e[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+o+".));\n\n                if ("+g+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+x+"\n\n        "+v.output+" = result;\n      }\n    "},As=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[];var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+i+"; j <= "+i+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+a+";\n        setOutput(val);\n      }\n    "},Ts=function(t,e,n,r,o){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=o,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+o+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+o+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},Ds=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+i+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+i+"; j <= "+i+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},Ns=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,o=t.effectiveFilterHeight,a=t.effectiveFilterWidth,i=o-1-t.padInfo.top,s=a-1-t.padInfo.left,u=o*a-1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+o+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+a+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Fs=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.dilationDepth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=s-1-t.padInfo.front,h=u-1-t.padInfo.top,f=c-1-t.padInfo.left,d=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+h+", "+f+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+o+") {\n          float dyD = float(dyDCorner + wD) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+i+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+d+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},_s=function(t,e,n,r,o,a,i){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===a&&(a=null),void 0===i&&(i=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",h=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],d="",p="";a&&(d=i?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",p="result = activation(result);");var v=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+d+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+h[0]+" * "+f[0]+");\n          result += ("+h[1]+" * "+f[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+v+"\n\n        "+p+"\n\n        setOutput(result);\n      }\n    "},Os=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(e-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),Ms=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},Bs=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=Xa("rc",e),r=ui(e),o=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",o=t-2;o<t;o++)r+=n[o]+" >= "+e[o],o<t-1&&(r+="||");return r}(e,t,n),a=function(t,e,n,r){if(1===t)return"";var o=r.slice(-2);return"\n    int r = "+o[0]+";\n    int c = "+o[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),i=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var o=0;o<=1;o++){for(var a=(0===r?"r":"rp1")+", "+(0===o?"c":"cp1"),i=2;i<t;i++)a=e[e.length-1-i]+","+a;n.push(a)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+o+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+i+"));\n          }\n        }\n      "}};var Ps=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));var r=t.length,o=ui(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+o+" start = "+o+"("+a+");\n      "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+o+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+i+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},Ls=function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((function(e,n){return e[0]+t[n]+e[1]}));for(var r=t.length,o=ui(r),a=e.map((function(t){return t[0]})).join(","),i=e.map((function(e,n){return e[0]+t[n]})).join(","),s=Xa("rc",r),u=Xa("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",h=[o+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+c+") {"],f=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="",p=0,v=1===r?2:4;p<v;p++)d+="\n        "+h[p]+"\n        if ("+f+") {\n          result["+p+"] = float("+n+");\n        } else {\n          "+o+" source = rc - start;\n          result["+p+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";d+=1===r?"} ":"}}",this.userCode="\n      const "+o+" start = "+o+"("+a+");\n      const "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+d+"\n        setOutput(result);\n      }\n    "},Ws=function(t,e,n,r,o){if(void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterHeight,h=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;var p="avg"===e,v="((batch  * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",g="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",m="0.0";if(p||(m="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+i+", "+s+");\n        const ivec2 pads = ivec2("+f+", "+d+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+l+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+c+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?o?v:g:"wR * "+h+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var y=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(y="avgValue / count");var x=4*Math.floor(a/4),b=a%4,w="\n      if ("+p+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+f+", "+d+");\n      const float initializationValue = "+m+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+m+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+l+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+x+"; wC += 4) {\n            int xC = xCCorner + wC * "+c+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              getValue(batch, xR, xC + 3 * "+c+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+x+";\n          if ("+(1===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===b)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+c+", d),\n              getValue(batch, xR, xC + 2 * "+c+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},Us=function(t,e,n,r,o){if(void 0===r&&(r=!1),void 0===o&&(o=!1),this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var a=t.filterWidth,i=t.strideDepth,s=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,h=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,p=t.effectiveFilterWidth,v=t.padInfo.front,g=t.padInfo.top,m=t.padInfo.left;this.outputShape=t.outShape;var y="avg"===e,x="0.0";if(y||(x="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+i+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+v+", "+g+", "+m+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+f+";\n              wD += "+c+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+d+";\n                wR += "+l+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+p+";\n                  wC += "+h+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?o?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+d+" * "+p+" +\n                      wR * "+p+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var b=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(b="avgValue / count");var w=4*Math.floor(a/4),C=a%4,E="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+i+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+v+", "+g+", "+m+");\n      const float initializationValue = "+x+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+x+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+f+";\n            wD += "+c+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+d+";\n            wR += "+l+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+h+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+h+", ch)\n              );\n\n              "+E+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+E+"\n            } else if ("+(2===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+E+"\n            } else if ("+(3===C)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+h+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+h+", ch),\n                initializationValue\n              );\n\n              "+E+"\n            }\n          }\n          setOutput("+b+");\n        }\n      }\n    "}},Vs=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=Math.ceil(o/n);this.outputShape=[r,a];var i="0.0",s="";"prod"===e?i="1.0":"min"===e?(i="1.0 / 1e-20",s="min"):"max"===e&&(i="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,h="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",f="vec4";"all"===e?(i="1.0",h="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",f="bvec4"):"any"===e&&(i="0.0",h="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",f="bvec4");var d="";o%n>0&&(d="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+i+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+d+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+i+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+h+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(2===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+h+"\n        } else if ("+(3===l)+") {\n          "+f+" values = "+f+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+h+"\n        }\n        setOutput("+u+");\n      }\n    "},zs=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var o="thisRC = rc;";r%2==1&&(o+="thisRC.z += 1;"),r>1&&(o+="thisRC.y += 1;"),n+="\n        "+o+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+$a(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+Qa(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "};var Gs=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],f=c[1]/l[1],d=1/h,p=1/f,v=2*Math.ceil(d)+2,g=2*Math.ceil(p)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+h+");\n        const float widthScale = float("+f+");\n\n        const float invHeightScale = float("+d+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(o-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Hs=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},qs=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+i+".0,\n                                     "+i+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},Ks=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],h=c[0]/l[0],f=c[1]/l[1],d=1/h,p=1/f,v=2*Math.ceil(d)+2,g=2*Math.ceil(p)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+h+");\n        const float widthScale = float("+f+");\n\n        const float invHeightScale = float("+d+");\n        const float invWidthScale = float("+p+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+g+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+o+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},js=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},Xs=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map((function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),o=ui(n);this.userCode="\n      void main() {\n        "+o+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},Ys=function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=Xa("rc",n),o=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],i=ui(n);function s(n){var r=t.map((function(r,o){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(o,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+o+"){\n              result.g = getChannel(getX("+t[0]+" - (rc  + 1) - 1),\n                "+t[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+i+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(t){return s(t)}(r.slice())+";\n          if("+o+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+o+") {\n              result.a = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},$s=function(t,e,n,r,o,a,i){void 0===i&&(i=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=ui(o.length),u=ui(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",h="";1===r?h="i":2===r&&(h="i, coords[1]");var f="getUpdates("+h+")",d=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+o+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+d+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+f+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},Qs=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=t.numSegments,i=a*Math.ceil(o/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";o%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      ");var h="";o%n>0&&(h="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+h+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+c+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+c+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+c+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "},Js=function(t,e,n){var r,o;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)o="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],s=[],u=0;u<e.length;u++)s.push(""+a[u]),u<t&&i.push(""+a[u]);r=i.join(),o=s.join()}var c=ui(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+o+"));\n        } else {\n          setOutput(getB("+o+"));\n        }\n      }\n    "},Zs=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=ui(this.rank),r="uniform int start["+this.rank+"];",o=function(t){if(1===t)return"sourceLoc";if(t<=6)return tu.slice(0,t).map((function(t){return"sourceLoc."+t})).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map((function(t,e){return"sourceLoc."+tu[e]+" = start["+e+"] + coords."+tu[e]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+o+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),tu=["x","y","z","w","u","v"];var eu=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=ui(this.rank),n=Xa("coords",this.rank),r=Xa("sourceLoc",this.rank),o=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+o+")",i="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map((function(t,e){return"start["+e+"]"})).join()+");":t.map((function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"})).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+i+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),nu=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,o=ui(n.length),a=ui(n.length),i="";if(1===r)i="coords * strides + begin";else{var s=0;i=n.map((function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"})).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+t+");\n      "+o+" strides = "+o+"("+e+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+i+"));\n      }\n    "},ru=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,o=ou(e,n),a=au(t,o,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var i=this.freeTextures[a].shift();return this.usedTextures[a].push(i),i}return this.numUsedTextures++,this.log(),o===Gt.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Gt.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Gt.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Gt.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Gt.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var o=au(e,ou(n,r),r);o in this.freeTextures||(this.freeTextures[o]=[]),this.freeTextures[o].push(t),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[o],i=a.indexOf(t);if(i<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(i,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));for(var e in this.usedTextures)this.usedTextures[e].forEach((function(e){t.gpgpu.deleteMatrixTexture(e)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function ou(t,e){if(t===zt.UPLOAD)return Gt.PACKED_2X2_FLOAT32;if(t===zt.RENDER||null==t)return function(t){return i().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?Gt.PACKED_2X2_FLOAT32:Gt.UNPACKED_FLOAT32:t?Gt.PACKED_2X2_FLOAT16:Gt.UNPACKED_FLOAT16}(e);if(t===zt.DOWNLOAD||t===zt.PIXELS)return Gt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function au(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var iu=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var o=ui(this.rank),a=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],o=0;o<t.length;o++)r.push("imod("+n[o]+", "+t[o]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "};var su=1.7580993408473768,uu=1.0507009873554805,cu=function(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        "+e+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},lu="if (isnan(x)) return x;",hu="return x;",fu="return abs(x);",du=lu+"\n  return (x < 0.0) ? 0.0 : x;\n",pu=lu+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",vu="return (x >= 0.0) ? x : (exp(x) - 1.0);",gu="\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = "+su+";\n  float scale = "+uu+";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n";var mu="return -x;",yu="return ceil(x);",xu="return floor(x);",bu="return exp(x);",wu="return exp(x) - 1.0;",Cu=lu+"\n  return sin(x);\n",Eu=lu+"\n  return cos(x);\n",Ru=lu+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n",Iu=lu+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n",ku=lu+"\n  return atan(x);\n",Su=lu+"return log(x + sqrt(x * x + 1.0));",Au=lu+"\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));",Tu=lu+"\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;",Du="return x;",Nu="return x;",Fu="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",_u="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",Ou="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",Mu=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Bu=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=Xa("rc",e),r=ui(e),o=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),a=n.slice(-2),i=e<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+o+");\n\n        setOutput(getChannel(packedInput, "+i+"));\n      }\n    "},Pu={};function Lu(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?Nu:hu;if("relu"===t)return e?Fu:du;if("elu"===t)return e?Ou:vu;if("relu6"===t)return e?_u:pu;if("prelu"===t)return e?ki:Ei;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var Wu=600;var Uu=function(t){function o(e){var n,r=t.call(this)||this;if(r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!i().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var o=jt(i().getNumber("WEBGL_VERSION"));r.binaryCache=(n=i().getNumber("WEBGL_VERSION"))in Pu?Pu[n]:(Pu[n]={},Pu[n]),r.gpgpu=new Is(o),r.canvas=o.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new ru(r.gpgpu),r.numMBBeforeWarning=null==i().global.screen?1024:i().global.screen.height*i().global.screen.width*window.devicePixelRatio*Wu/1024/1024,r.texData=new ca(r,Lt),r}return e(o,t),o.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},o.prototype.write=function(t,e,n){if(i().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:zt.UPLOAD}),r},o.prototype.move=function(t,e,n,r){if(i().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:zt.UPLOAD})},o.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,o=e.complexTensors,a=e.slice,i=e.shape,s=e.isPacked;if(null!=a){var u=void 0;u=s?new Mu(i,Du):new cu(i,Du);var c=this.runWebGLProgram(u,[{dataId:t,shape:i,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var h,f,d=null!=this.activeTimers;(d&&(h=et()),"complex64"===r)?f=Aa(o.real.dataSync(),o.imag.dataSync()):f=this.getValuesFromTexture(t);return d&&(this.downloadWaitMs+=et()-h),this.convertAndCacheOnCPU(t,f)},o.prototype.read=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,s,u,c,l,h,f,d,p,v,g,m,y,x,b,w,C,E,R;return r(this,(function(r){switch(r.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise((function(t){return e.push(t)}))];if(n=this.texData.get(t),o=n.values,a=n.shape,s=n.slice,u=n.dtype,c=n.complexTensors,l=n.isPacked,null!=s)return h=void 0,h=l?new Mu(a,Du):new cu(a,Du),f=this.runWebGLProgram(h,[{dataId:t,shape:a,dtype:u}],u),d=this.read(f.dataId),this.disposeData(f.dataId),[2,d];if(null!=o)return[2,this.convertAndCacheOnCPU(t)];if(!i().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===i().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return p=null,"complex64"!==u&&i().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),g=this.texData.get(v.dataId),p=(R=this.gpgpu).createBufferFromTexture.apply(R,[g.texture].concat(Yt(a)))),this.pendingRead.set(t,[]),"complex64"===u?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:r.sent(),r.label=2;case 2:return"complex64"!==u?[3,4]:[4,Promise.all([c.real.data(),c.imag.data()])];case 3:return y=r.sent(),x=y[0],b=y[1],m=Aa(x,b),[3,5];case 4:null==p?m=this.getValuesFromTexture(t):(w=k(a),m=this.gpgpu.downloadFloat32MatrixFromBuffer(p,w)),r.label=5;case 5:return null!=v&&this.disposeData(v.dataId),C=this.convertAndCacheOnCPU(t,m),E=this.pendingRead.get(t),this.pendingRead.delete(t),E.forEach((function(t){return t(C)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,C]}}))}))},o.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!ee(n)){if(i().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},o.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.isPacked,s=k(r);if(i().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(t),c=this.texData.get(u.dataId),l=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[c.texture].concat(Yt(r))).subarray(0,s);return this.disposeData(u.dataId),l}var h=i().getBool("WEBGL_PACK")&&!0===a,f=h?De(r):r,d=h?new Ji(f):new Qi(f),p=this.runWebGLProgram(d,[{shape:f,dtype:o,dataId:t}],"float32"),v=this.texData.get(p.dataId),g=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(v.texture,v.texShape[0],v.texShape[1]).subarray(0,s);return this.disposeData(p.dataId),g},o.prototype.time=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,s,u,c;return r(this,(function(r){switch(r.label){case 0:return e=this.activeTimers,n=[],o=!1,null==this.programTimersStack?(this.programTimersStack=n,o=!0):this.activeTimers.push(n),this.activeTimers=n,t(),a=I(this.activeTimers.map((function(t){return t.query}))).filter((function(t){return null!=t})),s=I(this.activeTimers.map((function(t){return t.name}))).filter((function(t){return null!=t})),this.activeTimers=e,o&&(this.programTimersStack=null),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(a)]:[3,2];case 1:return c=r.sent(),u.kernelMs=w(c),u.getExtraProfileInfo=function(){return c.map((function(t,e){return{name:s[e],ms:t}})).map((function(t){return t.name+": "+t.ms})).join(", ")},[3,3];case 2:u.kernelMs={error:"WebGL query timers are not supported in this environment."},r.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}}))}))},o.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},o.prototype.startTimer=function(){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:et(),endMs:null}},o.prototype.endTimer=function(t){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=et(),t)},o.prototype.getQueryTime=function(t){return n(this,void 0,void 0,(function(){var e;return r(this,(function(n){return i().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]}))}))},o.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}}},o.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,o=e.texShape,a=e.usage,i=e.isPacked,s=e.slice,u=s&&s.origDataId||t,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(o,r),this.textureManager.releaseTexture(n,o,a,i)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},o.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},o.prototype.getDataInfo=function(t){return this.texData.get(t)},o.prototype.getCPUBackend=function(){return i().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Lt.findBackend("cpu")),this.cpuBackend):null},o.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every((function(t){return null==n.texData.get(t.dataId).texture&&k(t.shape)<e}))},o.prototype.getGPGPUContext=function(){return this.gpgpu},o.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:Lt.keep(t.clone()),imag:Lt.keep(e.clone())},n},o.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},o.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},o.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===k(n))return Fn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,o=$o(t.shape,e,n);if(r||!o){var a=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new eu(n):new Zs(n),s=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,s)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},o.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),o=this.makeOutput(n,t.dtype),a=this.texData.get(o.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var i=Qo(e,t.strides);r.slice&&(i+=r.slice.flatOffset),a.slice={flatOffset:i,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),o},o.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var o=jo(e,n,r);if(o.some((function(t){return 0===t})))return Fn([],o);var a=new nu(e,r,o);return this.compileAndRun(a,[t])},o.prototype.reverse=function(t,e){var n=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ys(t.shape,e):new Xs(t.shape,e);return this.compileAndRun(n,[t])},o.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map((function(t){return Dn(t)})),r=t.map((function(t){return Nn(t)}));return Tn(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>i().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var o=Math.floor(t.length/2),a=this.concat(t.slice(0,o),e),s=this.concat(t.slice(o),e);return this.concat([a,s],e)}if(i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var u=new Fi(t.map((function(t){return t.shape})),e);return this.compileAndRun(u,t)}var c=Sn(t.map((function(t){return t.shape})),e),l=t.map((function(t){return t.as2D(-1,k(t.shape.slice(e)))})),h=new Ni(l.map((function(t){return t.shape})));return this.compileAndRun(h,l).reshape(c)},o.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,mu,t.dtype);var e=new cu(t.shape,mu);return this.compileAndRun(e,[t])},o.prototype.batchMatMul=function(t,e,n,r){var o=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],i=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===o||1===a)&&i>1e3){n&&(t=ua(t,[0,2,1])),r&&(e=ua(e,[0,2,1]));var u=1===a?t:t.as3D(s,i,1),c=1===a?2:1,l=1===a?e.as3D(s,1,i):e;return this.multiply(u,l).sum(c,!0)}var h=Tt(t.dtype,e.dtype),f=new _s(t.shape,[s,o,a],n,r);return this.compileAndRun(f,[t,e],h)},o.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],c=o?n.shape[1]:n.shape[2],l=e.shape[0],h=Tt(e.dtype,n.dtype),f=null!=a,d=null!=s,p=i?Lu(i,!0):null,v=new _s(e.shape,[l,u,c],r,o,f,p,d),g=[e,n];return a&&g.push(a),s&&g.push(s),this.compileAndRun(v,g,h)},o.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),o=new yi(gi,t.shape,e.shape),a=new yi(mi,t.shape,e.shape),s=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],u=this.compileAndRun(o,s),c=this.compileAndRun(a,s),l=this.complex(u,c);return u.dispose(),c.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,wi,t.dtype);var h=new Ri(wi,t.shape,e.shape);return this.compileAndRun(h,[t,e],t.dtype)},o.prototype.batchNormalization=function(t,e,n,r,o,a){var s=[t,e,n],u=null;null!=a&&(u=a.shape,s.push(a));var c=null;if(null!=o&&(c=o.shape,s.push(o)),i().getBool("WEBGL_PACK_NORMALIZATION")){var l=new vi(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(l,s)}var h=new pi(t.shape,e.shape,n.shape,u,c,r);return this.compileAndRun(h,s)},o.prototype.localResponseNormalization4D=function(t,e,n,r,o){var a=i().getBool("WEBGL_PACK_NORMALIZATION")?new Ds(t.shape,e,n,r,o):new As(t.shape,e,n,r,o);return this.compileAndRun(a,[t])},o.prototype.LRNGrad=function(t,e,n,r,o,a,i){var s=new Ts(e.shape,r,o,a,i);return this.compileAndRun(s,[e,n,t])},o.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map((function(t){return ot(t)}));return Va(er(t.shape,t.dtype,n),e)}var r=new iu(t.shape,e);return this.compileAndRun(r,[t])},o.prototype.pad=function(t,e,n){var r=i().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Ls(t.shape,e,n):new Ps(t.shape,e,n);return this.compileAndRun(r,[t])},o.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new as(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},o.prototype.batchToSpaceND=function(t,e,n){C(t.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=pr(t.shape,e,r),a=vr(o.length,e.length),i=gr(t.shape,e,r),s=mr(n,e.length),u=yr(i,n,e.length);return ua(t.reshape(o),a).reshape(i).slice(s,u)},o.prototype.spaceToBatchND=function(t,e,n){C(t.rank<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=pr(i.shape,e,r,!1),u=vr(s.length,e.length,!1),c=gr(i.shape,e,r,!1);return ua(i.reshape(s),u).reshape(c)},o.prototype.reduce=function(t,e,n){var r=t.shape[0],o=t.shape[1],a=Uo(o),i=new Vs({windowSize:a,inSize:o,batchSize:r},e),s=this.compileAndRun(i,[t],n);return 1===s.shape[1]?s:this.reduce(s,e,n)},o.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],o=t.shape[1];null!=n&&(r=n.shape[0],o=n.shape[1]);var a=Uo(o),i=new Ka({windowSize:a,inSize:o,batchSize:r},e,null==n),s=[t];null!=n&&s.push(n);var u=this.compileAndRun(i,s,"int32");return 1===u.shape[1]?u:this.argReduce(t,e,u)},o.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,o=Uo(r[r.length-1]),a=new hi(r,o,e,null==n),i=null==n?[t]:[t,n],s=this.compileAndRun(a,i,"int32");return s.rank===t.rank?this.argReducePacked(t,e,s):s},o.prototype.sum=function(t,e){Cn("sum",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o),i=Dt(t.dtype);return this.reduce(a,"sum",i).reshape(r)},o.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o),i=Dt(t.dtype);return this.reduce(a,"prod",i).reshape(r)},o.prototype.unsortedSegmentSum=function(t,e,n){var r=0,o=En([r],t.rank),a=t;null!=o&&(a=ua(t,o),r=In(1,t.rank)[0]);var i=function(t,e,n){for(var r=[],o=t.length,a=0;a<o;a++)a!==e?r.push(t[a]):r.push(n);return r}(a.shape,r,n),s=k([a.shape[r]]),u=a.as2D(-1,s),c=Dt(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(i);return null!=o&&(l=ua(l,Rn(o))),l},o.prototype.segOpCompute=function(t,e,n,r,o){var a=t.shape[0],i=t.shape[1],s=function(t,e){var n,r=!1;for(t<=Wo?(n=t,r=!0):n=Y(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=Y(t,n+1);return n}(i,o),u=new Qs({windowSize:s,inSize:i,batchSize:a,numSegments:o},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===o?c:(n=Kn(0,o).tile([i/s]),this.segOpCompute(c,e,n,r,o))},o.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(Cn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!i().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var o=bn(t.shape,r),a=o[0],s=k(o[1]),u=t.as2D(-1,s);return this.argReduce(u,n).reshape(a)}return this.argReducePacked(t,n)},o.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},o.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},o.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var o=new qi(t.shape,n,r);return this.compileAndRun(o,[t])},o.prototype.equal=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Ri("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.notEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Ri("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Ri("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.lessEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Ri("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Ri("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.greaterEqual=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Ri("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.logicalNot=function(t){var e=new cu(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},o.prototype.logicalAnd=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new Ri("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.logicalOr=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new Ri("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},o.prototype.select=function(t,e,n){var r=new Js(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],Tt(e.dtype,n.dtype))},o.prototype.where=function(t){dn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return Ga(t.shape,e)},o.prototype.topk=function(t,e,n){return za(t.dataSync(),t.shape,t.dtype,e)},o.prototype.min=function(t,e){Cn("min",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"min",a.dtype).reshape(r)},o.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.mod=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);Cn("max",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"max",a.dtype).reshape(r)},o.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.all=function(t,e){Cn("all",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"all",a.dtype).reshape(r)},o.prototype.any=function(t,e){Cn("any",e,t.rank);var n=bn(t.shape,e),r=n[0],o=k(n[1]),a=t.as2D(-1,o);return this.reduce(a,"any",a.dtype).reshape(r)},o.prototype.floorDiv=function(t,e){if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new Ri("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",t.shape,e.shape);return this.compileAndRun(n,[t,e],"int32")},o.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,xi);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=Tt(t.dtype,e.dtype);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,xi,n);var r=new Ri(xi,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},o.prototype.packedUnaryOp=function(t,e,n){var r=new Mu(t.shape,e);return this.compileAndRun(r,[t],n)},o.prototype.packedBinaryOp=function(t,e,n,r,o){void 0===o&&(o=!1);var a=new Si(n,t.shape,e.shape,o);return this.compileAndRun(a,[t,e],r)},o.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,o=this.texData.get(t.dataId),a=this.texData.get(e.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map((function(o){var a=o[0],i=o[1],s=r.makeComplexComponentTensorInfo(t,a),u=r.makeComplexComponentTensorInfo(e,i),c=new Ri(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],Tt(a.dtype,i.dtype))})),s=i[0],u=i[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},o.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},o.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>i().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var o=t.map((function(t){return t.dtype})).reduce((function(t,e){return Tt(t,e)})),a=t.map((function(t){return t.shape})),s=i().getBool("WEBGL_PACK")?new qa(t[0].shape,a):new Ha(t[0].shape,a);return this.compileAndRun(s,t,o)},o.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,bi);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=Tt(t.dtype,e.dtype);if(i().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,bi,t.dtype);var r=new Ri(bi,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},o.prototype.pow=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=Tt(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},o.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,yu,t.dtype);var e=new cu(t.shape,yu);return this.compileAndRun(e,[t])},o.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,xu,t.dtype);var e=new cu(t.shape,xu);return this.compileAndRun(e,[t])},o.prototype.sign=function(t){var e=new cu(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},o.prototype.isNaN=function(t){var e=new cu(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.isInf=function(t){var e=new cu(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.isFinite=function(t){var e=new cu(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},o.prototype.round=function(t){var e=new cu(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},o.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,bu,t.dtype);var e=new cu(t.shape,bu);return this.compileAndRun(e,[t])},o.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,wu,t.dtype);var e=new cu(t.shape,wu);return this.compileAndRun(e,[t])},o.prototype.softmax=function(t,e){var n=O([e],t.shape),r=this.max(t,n),o=wn(r.shape,n),a=this.subtract(t,r.reshape(o)),i=this.exp(a),s=this.sum(i,n).reshape(o);return Bo(i,s)},o.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",t.dtype);var e=new cu(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},o.prototype.log1p=function(t){var e=new cu(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},o.prototype.sqrt=function(t){var e=new cu(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},o.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new cu(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},o.prototype.reciprocal=function(t){var e=new cu(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},o.prototype.relu=function(t){var e;return e=i().getBool("WEBGL_PACK")?new Mu(t.shape,Fu):new cu(t.shape,du),this.compileAndRun(e,[t])},o.prototype.relu6=function(t){var e;return e=i().getBool("WEBGL_PACK")?new Mu(t.shape,_u):new cu(t.shape,pu),this.compileAndRun(e,[t])},o.prototype.prelu=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si(ki,t.shape,e.shape):new Ri(Ei,t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.elu=function(t){if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Ou,t.dtype);var e=new cu(t.shape,vu);return this.compileAndRun(e,[t])},o.prototype.eluDer=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new Ri("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.selu=function(t){var e=new cu(t.shape,gu);return this.compileAndRun(e,[t])},o.prototype.int=function(t){var e=new cu(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},o.prototype.clip=function(t,e,n){var r,o=(r=i().getBool("WEBGL_PACK_CLIP")?new Ti(t.shape):new Ai(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,o)},o.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(i().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,fu,t.dtype);var e=new cu(t.shape,fu);return this.compileAndRun(e,[t])},o.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Di(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},o.prototype.sigmoid=function(t){var e=new cu(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},o.prototype.softplus=function(t){var e=new cu(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},o.prototype.sin=function(t){var e=new cu(t.shape,Cu);return this.compileAndRun(e,[t])},o.prototype.cos=function(t){var e=new cu(t.shape,Eu);return this.compileAndRun(e,[t])},o.prototype.tan=function(t){var e=new cu(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},o.prototype.asin=function(t){var e=new cu(t.shape,Ru);return this.compileAndRun(e,[t])},o.prototype.acos=function(t){var e=new cu(t.shape,Iu);return this.compileAndRun(e,[t])},o.prototype.atan=function(t){var e=new cu(t.shape,ku);return this.compileAndRun(e,[t])},o.prototype.atan2=function(t,e){var n=i().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Si("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ri("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},o.prototype.sinh=function(t){var e=new cu(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},o.prototype.cosh=function(t){var e=new cu(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},o.prototype.tanh=function(t){var e=new cu(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},o.prototype.asinh=function(t){var e=new cu(t.shape,Su);return this.compileAndRun(e,[t])},o.prototype.acosh=function(t){var e=new cu(t.shape,Au);return this.compileAndRun(e,[t])},o.prototype.atanh=function(t){var e=new cu(t.shape,Tu);return this.compileAndRun(e,[t])},o.prototype.erf=function(t){var e=new cu(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(e,[t])},o.prototype.step=function(t,e){var n=new cu(t.shape,function(t){return void 0===t&&(t=0),lu+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},o.prototype.conv2dByMatMul=function(t,e,n,r,o,a){var s=t.shape,u=this.texData.get(t.dataId),c=n.inChannels,l=s[0]*s[1]*s[2],h=n.outChannels,f="channelsLast"===n.dataFormat,d=(1===l||1===h)&&c>1e3,p=s[2]%2!=0&&!!u.isPacked;if(d||!i().getBool("WEBGL_LAZILY_UNPACK")||!i().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!p){var v=f?s[0]*s[1]*s[2]:s[0]*s[2]*s[3],g=this.reshape(t,[1,v,n.inChannels]),m=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:g,b:m,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),n.outShape)}var y=f?s[0]*s[1]*(s[2]+1):s[0]*s[2]*(s[3]+1),x={dataId:t.dataId,shape:[1,y,n.inChannels],dtype:t.dtype},b=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,C(_e(u.shape,x.shape),(function(){return"packed reshape "+u.shape+" to "+x.shape+" isn't free"}));var w=this.reshape(e,[1,n.inChannels,n.outChannels]),E=this.fusedBatchMatMul({a:x,b:w,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),R=this.texData.get(E.dataId);return C(R.isPacked,(function(){return"batchMatMul result is expected to be packed"})),u.shape=b,R.shape=n.outShape,Lt.makeTensorFromDataId(E.dataId,n.outShape,E.dtype)},o.prototype.conv2dWithIm2Row=function(t,e,n,r,o,a){var i=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,h="channelsLast"===n.dataFormat,f=i*s*u,d=l*c,p=[f,d],v=t.squeeze([0]),g=e.reshape([1,f,-1]),m=new Ss(p,v.shape,n),y=this.compileAndRun(m,[v]).reshape([1,p[0],p[1]]),x=null!=r,b=null!=a,w=o?Lu(o,!0):null,C=new _s(y.shape,[1,d,n.outChannels],!0,!1,x,w,b),E=[y,g];r&&E.push(r),b&&E.push(a);var R=this.compileAndRun(C,E);return h?R.reshape([1,l,c,n.outChannels]):R.reshape([1,n.outChannels,l,c])},o.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,s=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,o,a,s);if(i().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,o,a,s);var u=null!=o,c=null!=s,l=a?Lu(a,!1):null,h=new Ui(r,u,l,c),f=[e,n];return o&&f.push(o),s&&f.push(s),this.compileAndRun(h,f)},o.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(i().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new Ui(n);return this.compileAndRun(r,[t,e])},o.prototype.conv2dDerInput=function(t,e,n){var r=new Mi(n);return this.compileAndRun(r,[t,e])},o.prototype.conv2dDerFilter=function(t,e,n){var r=new Oi(n);return this.compileAndRun(r,[t,e])},o.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,o=t.convInfo,a=t.bias,s=t.activation,u=t.preluActivationWeights,c=i().getBool("WEBGL_PACK_DEPTHWISECONV")&&o.strideWidth<=2&&o.outChannels/o.inChannels==1,l=s?Lu(s,c):null,h=[n,r],f=null!=a,d=null!=u;return f&&h.push(a),d&&h.push(u),c?(e=new Gi(o,f,l,d),this.compileAndRun(e,h)):(e=new zi(o,f,l,d),this.compileAndRun(e,h))},o.prototype.depthwiseConv2D=function(t,e,n){var r;return i().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new Gi(n),this.compileAndRun(r,[t,e])):(r=new zi(n),this.compileAndRun(r,[t,e]))},o.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new Wi(n);return this.compileAndRun(r,[t,e])},o.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Li(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3d=function(t,e,n){var r=new Vi(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3dDerInput=function(t,e,n){var r=new Pi(n);return this.compileAndRun(r,[t,e])},o.prototype.conv3dDerFilter=function(t,e,n){var r=new Bi(n);return this.compileAndRun(r,[t,e])},o.prototype.maxPool=function(t,e){var n=new Ws(e,"max",!1);return this.compileAndRun(n,[t])},o.prototype.avgPool=function(t,e){var n=new Ws(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.maxPoolBackprop=function(t,e,n,r){var o=new Ws(r,"max",!0),a=this.compileAndRun(o,[e]),i=new Ns(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},o.prototype.avgPoolBackprop=function(t,e,n){var r=new fi(n);return this.compileAndRun(r,[t],e.dtype)},o.prototype.cast=function(t,e){return Ra(t,e,this)},o.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),o=0,a=0;a<t.rank;a++)a!==e&&(r[o++]=t.shape[a]);var i=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)i[e]=a,u[a]=this.slice(t,i,s).reshape(r);return u},o.prototype.avgPool3d=function(t,e){var n=new Us(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.avgPool3dBackprop=function(t,e,n){var r=new di(n);return this.compileAndRun(r,[t],e.dtype)},o.prototype.maxPool3d=function(t,e){var n=new Us(e,"max",!1);return this.compileAndRun(n,[t],"float32")},o.prototype.maxPool3dBackprop=function(t,e,n,r){var o=new Us(r,"max",!0),a=this.compileAndRun(o,[e]),i=new Fs(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},o.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!_e(t.shape,e)&&(null===n.texture||!_e(n.shape,e))){var r=this.packedReshape(t,e);return Lt.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return Ia(t,e)},o.prototype.resizeBilinear=function(t,e,n,r){var o=i().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new qs(t.shape,e,n,r):new Hs(t.shape,e,n,r);return this.compileAndRun(o,[t],"float32")},o.prototype.resizeBilinearBackprop=function(t,e,n){var r=new Gs(t,e,n);return this.compileAndRun(r,[t])},o.prototype.resizeNearestNeighbor=function(t,e,n,r){var o=new js(t.shape,e,n,r);return this.compileAndRun(o,[t])},o.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new Ks(t,e,n);return this.compileAndRun(r,[t])},o.prototype.multinomial=function(t,e,n,r){var o=e?t:ia(t),a=o.shape[0],i=o.shape[1],s=new Os(a,i,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[o],"int32",u)},o.prototype.oneHot=function(t,e,n,r){var o=new Ms(t.size,e,n,r);return this.compileAndRun(o,[t])},o.prototype.diag=function(t){var e=new $i(t.size);return this.compileAndRun(e,[t])},o.prototype.nonMaxSuppression=function(t,e,n,r,o){return dn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead"),Oa(t.dataSync(),e.dataSync(),n,r,o)},o.prototype.cropAndResize=function(t,e,n,r,o,a){var i=new Hi(t.shape,e.shape,r,o,a);return this.compileAndRun(i,[t,e,n],"float32")},o.prototype.depthToSpace=function(t,e,n){C(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));var r=t.shape[0],o="NHWC"===n?t.shape[1]:t.shape[2],a="NHWC"===n?t.shape[2]:t.shape[3],i="NHWC"===n?t.shape[3]:t.shape[1],s=o*e,u=a*e,c=i/(e*e),l=new Yi("NHWC"===n?[r,s,u,c]:[r,c,s,u],e,n);return this.compileAndRun(l,[t])},o.prototype.split=function(t,e,n){return Ua(t,e,n)},o.prototype.scatterND=function(t,e,n){var r=Go(0,t,n),o=r.sliceRank,a=r.numUpdates,i=r.sliceSize,s=r.strides,u=r.outputSize,c=[u/i,i],l=t.reshape([a,o]),h=e.reshape([a,i]);if(0===u)return Ia(Fn([]),n);var f=On(0),d=new $s(a,o,l.rank,h.rank,s,c);return this.compileAndRun(d,[h,l,f]).reshape(n)},o.prototype.sparseToDense=function(t,e,n,r){var o=Go(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.strides,u=o.outputSize,c=new $s(i,a,t.rank,e.rank,s,[u,1],!1);return this.compileAndRun(c,[e,t,r]).reshape(n)},o.prototype.fft=function(t){return this.fftImpl(t,!1)},o.prototype.ifft=function(t){return this.fftImpl(t,!0)},o.prototype.fftImpl=function(t,e){var n=this.texData.get(t.dataId),r=new rs(es,t.shape,e),o=new rs(ns,t.shape,e),a=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag)],i=this.compileAndRun(r,a),s=this.compileAndRun(o,a),u=this.complex(i,s).as2D(t.shape[0],t.shape[1]);return i.dispose(),s.dispose(),u},o.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=Po(t,e),a=o[0],i=o[1],s=o[2],u=o[3],c=e.reshape([i,r]),l=t.reshape([t.size/s,s]),h=new is(r,u,[i,s]);return this.compileAndRun(h,[l,c]).reshape(a)},o.prototype.fill=function(t,e,n){if("string"===(n=n||j(e))){var r=P(n,k(t));return r.fill(e),Lt.makeTensor(r,t,n,this)}var o=new os(t,e),a=o.getCustomSetupFunc(e);return this.compileAndRun(o,[],n,a)},o.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(t.shape,1,t.dtype)},o.prototype.zerosLike=function(t){return this.fill(t.shape,"string"===t.dtype?"":0,t.dtype)},o.prototype.linspace=function(t,e,n){return ka(t,e,n)},o.prototype.makeTensorInfo=function(t,e){var n=this.write(null,t,e);return this.texData.get(n).usage=null,{dataId:n,shape:t,dtype:e}},o.prototype.makeOutput=function(t,e){var n=this.makeTensorInfo(t,e).dataId;return Lt.makeTensorFromDataId(n,t,e,this)},o.prototype.unpackTensor=function(t){var e=new Bu(t.shape);return this.runWebGLProgram(e,[t],t.dtype)},o.prototype.packTensor=function(t){var e=new Bs(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)},o.prototype.packedReshape=function(t,e){var n=[Ae(t.shape)].concat(Te(t.shape)),r={dtype:t.dtype,shape:n,dataId:t.dataId},o=[Ae(e)].concat(Te(e)),a=new zs(o,n),i=this.runWebGLProgram(a,[r],t.dtype,null,!0);return{dataId:i.dataId,shape:e,dtype:i.dtype}},o.prototype.decode=function(t){var e,n=this.texData.get(t),r=n.isPacked,o=n.shape,a=n.dtype,i=De(o);e=r?new Xi(i):new ji(i);return{dtype:a,shape:o,dataId:this.runWebGLProgram(e,[{shape:i,dtype:a,dataId:t}],a,null,!0).dataId}},o.prototype.runWebGLProgram=function(t,e,n,r,o){var a=this;void 0===o&&(o=!1);var s=this.makeTensorInfo(t.outputShape,n),u=this.texData.get(s.dataId);if(t.packedOutput&&(u.isPacked=!0),t.outPackingScheme===Vt.DENSE){var c=Yt(t.outputShape);u.texShape=c.map((function(t){return 2*t}))}if(null!=t.outTexUsage&&(u.usage=t.outTexUsage),0===k(s.shape))return u.values=B(s.dtype,0),s;var l=[],h=e.map((function(e){if("complex64"===e.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=a.texData.get(e.dataId);if(null==n.texture){if(!t.packedInputs&&k(e.shape)<=i().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:e.shape,texData:null,isUniform:!0,uniformValues:n.values};t.packedInputs&&(n.isPacked=!0,n.shape=e.shape)}else if(!!n.isPacked!=!!t.packedInputs)e=n.isPacked?a.unpackTensor(e):a.packTensor(e),l.push(e),n=a.texData.get(e.dataId);else if(n.isPacked&&!_e(n.shape,e.shape)){var r=e,o=e.shape;e.shape=n.shape,e=a.packedReshape(e,o),l.push(e),n=a.texData.get(e.dataId),r.shape=o}return a.uploadToGPU(e.dataId),{shape:e.shape,texData:n,isUniform:!1}}));this.uploadToGPU(s.dataId);var f,d={shape:s.shape,texData:u,isUniform:!1},p=function(t,e,n){var r="";e.concat(n).forEach((function(t){var e=null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0,n=t.isUniform?"uniform":t.texData.texShape;r+=t.shape+"_"+n+"_"+e}));var o=t.userCode,a=t.constructor.name;return a+="_"+r+"_"+o}(t,h,d),v=this.getAndSaveBinary(p,(function(){return function(t,e,n,r){var o=e.userCode,a=n.map((function(t,n){var r={logicalShape:t.shape,texShape:t.isUniform?null:t.texData.texShape,isUniform:t.isUniform,isPacked:!t.isUniform&&t.texData.isPacked,flatOffset:null};return null!=t.texData&&null!=t.texData.slice&&t.texData.slice.flatOffset>0&&(r.flatOffset=t.texData.slice.flatOffset),{name:e.variableNames[n],shapeInfo:r}})),s=a.map((function(t){return t.shapeInfo})),u={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},c=Za(a,u,o,e.packedInputs),l=t.createProgram(c),h=null,f=t.getUniformLocation(l,"NAN",!1);1===i().getNumber("WEBGL_VERSION")&&(h=t.getUniformLocation(l,"INFINITY",!1));for(var d={},p=0;p<e.variableNames.length;p++){var v=e.variableNames[p];d[v]=t.getUniformLocation(l,v,!1),d["offset"+v]=t.getUniformLocation(l,"offset"+v,!1)}return{program:e,source:c,webGLProgram:l,uniformLocations:d,inShapeInfos:s,outShapeInfo:u,infLoc:h,nanLoc:f}}(a.gpgpu,t,h,d)})),g=null!=this.activeTimers;if(g&&(f=this.startTimer()),function(t,e,n,r,o){ks(e.inShapeInfos,n),ks([e.outShapeInfo],[r]);var a=r.texData.texture,s=r.texData.texShape;r.texData.isPacked?t.setOutputPackedMatrixTexture(a,s[0],s[1]):t.setOutputMatrixTexture(a,s[0],s[1]),t.setProgram(e.webGLProgram),1===i().getNumber("WEBGL_VERSION")&&null!==e.infLoc&&t.gl.uniform1f(e.infLoc,1/0),null!==e.nanLoc&&t.gl.uniform1f(e.nanLoc,NaN),n.forEach((function(n,r){var o=e.program.variableNames[r],a=e.uniformLocations[o],i=e.uniformLocations["offset"+o];if(null!=a)if(n.isUniform)if(k(n.shape)<2)t.gl.uniform1f(a,n.uniformValues[0]);else{var s=n.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),t.gl.uniform1fv(a,s)}else 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t=this;if(!this.disposed){if(!i().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(e){t.gpgpu.deleteProgram(t.binaryCache[e].webGLProgram),delete t.binaryCache[e]}));this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}},o.prototype.floatPrecision=function(){var t=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=Ze((function(){if(!i().get("WEBGL_RENDER_FLOAT32_ENABLED")){var e=i().getBool("DEBUG");i().set("DEBUG",!1);var n=t.abs(On(1e-8)).dataSync()[0];if(i().set("DEBUG",e),n>0)return 32}return 16}))),this.floatPrecisionValue},o.prototype.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},o.prototype.uploadToGPU=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.values,i=n.texture,s=n.usage,u=n.isPacked;if(null==i){var 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R,I,A=d.shape.slice(0,-2).concat([m,y]),T=a?d.as3D(w,v,m):d.as3D(w,m,v),D=s?p.as3D(E,y,g):p.as3D(E,g,y);null!=u&&Pr(A,(R=Nt(R=gn(u,"bias","fused matMul"),d)[0]).shape),null!=h&&(I=gn(h,"prelu weights","fused matMul"));var N={a:T,b:D};null!=u&&(N.bias=R),null!=h&&(N.preluActivationWeights=I);var F=[T,D];return Lt.runKernelFunc((function(t,e){var n=t.fusedBatchMatMul({a:T,b:D,transposeA:a,transposeB:s,bias:R,activation:l,preluActivationWeights:I});return e([T,D,n]),n}),N,(function(t,e){var n=e[0],r=e[1],o=e[2],i=of(t,o,l),c={};return null!=u&&(c={bias:function(){return af(R,i)}}),a||s?!a&&s?Object.assign({a:function(){return i.matMul(r,!1,!1)},b:function(){return i.matMul(n,!0,!1)}},c):a&&!s?Object.assign({a:function(){return r.matMul(i,!1,!0)},b:function(){return n.matMul(i,!1,!1)}},c):Object.assign({a:function(){return r.matMul(i,!0,!0)},b:function(){return i.matMul(n,!0,!0)}},c):Object.assign({a:function(){return i.matMul(r,!1,!0)},b:function(){return 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Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. 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Due to automatic garbage collection, the true allocated memory may be less."]}},o.prototype.complex=function(t,e){var n=this.makeOutput(null,t.shape,"complex64");return this.data.get(n.dataId).complexTensors={real:Lt.keep(t.clone()),imag:Lt.keep(e.clone())},n},o.prototype.real=function(t){return this.data.get(t.dataId).complexTensors.real.clone()},o.prototype.imag=function(t){return this.data.get(t.dataId).complexTensors.imag.clone()},o.prototype.slice=function(t,e,n){if(df(t,"slice"),$o(t.shape,e,n)){var r=Qo(e,t.strides),o=k(n);return Fn(this.readSync(t.dataId).subarray(r,r+o),n,t.dtype)}for(var a=er(n,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s).map((function(t,n){return t+e[n]}));a.values[s]=i.get.apply(i,u)}return a.toTensor()},o.prototype.stridedSlice=function(t,e,n,r){df(t,"stridedSlice");var o=jo(e,n,r);if(o.some((function(t){return 0===t})))return Fn([],o);for(var a=er(o,t.dtype),i=this.bufferSync(t),s=0;s<a.size;s++){for(var u=a.indexToLoc(s),c=new 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e.readSync(t.dataId)})),r=er(t[0].shape,t[0].dtype),o=r.values,a=0;a<t.length;a++)for(var i=n[a],s=0;s<o.length;s++)o[s]+=i[s];return r.toTensor()},o.prototype.softmax=function(t,e){var n=O([e],t.shape),r=this.max(t,n),o=wn(r.shape,n),a=this.subtract(t,r.reshape(o)),i=this.exp(a),s=this.sum(i,n).reshape(o);return Bo(i,s)},o.prototype.subtract=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),(function(t,e,n,r){return{real:t-n,imag:e-r}})):this.broadcastedBinaryOp(t,e,Tt(t.dtype,e.dtype),(function(t,e){return t-e}))},o.prototype.pow=function(t,e){return df([t,e],"pow"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.pow(t,e)}))},o.prototype.batchMatMul=function(t,e,n,r){df([t,e],"matMul");for(var o=n?t.shape[1]:t.shape[2],a=n?t.shape[2]:t.shape[1],i=r?e.shape[1]:e.shape[2],s=t.shape[0],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],h=l[0],f=l[1],d=l[2],p=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],v=p[0],g=p[1],m=p[2],y=a*i,x=er([s,a,i],t.dtype),b=x.values,w=this.blockSize,C=0;C<s;C++)for(var E=0;E<a;E+=w)for(var R=0;R<i;R+=w)for(var I=0;I<o;I+=w)for(var k=Math.min(E+w,a),S=Math.min(R+w,i),A=Math.min(I+w,o),T=E;T<k;T++)for(var D=R;D<S;D++){for(var N=0,F=I;F<A;F++)N+=u[C*h+T*f+F*d]*c[F*v+D*g+C*m];b[C*y+(T*i+D)]+=N}return x.toTensor()},o.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=this.batchMatMul(e,n,r,o);return a&&(u=this.add(u,a)),i&&(u=gf(this,u,i,s)),u},o.prototype.multiply=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),(function(t,e,n,r){return{real:t*n-e*r,imag:t*r+e*n}})):this.broadcastedBinaryOp(t,e,Tt(t.dtype,e.dtype),(function(t,e){return t*e}))},o.prototype.floorDiv=function(t,e){df([t,e],"floorDiv");return this.broadcastedBinaryOp(t,e,"int32",(function(t,e){return Math.floor(t/e)}))},o.prototype.sum=function(t,e){df(t,"sum"),Cn("sum",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,Tt(t.dtype,"int32")),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=0,f=0;f<i;++f)h+=u[l+f];s[c]=h}return a},o.prototype.prod=function(t,e){df(t,"sum");for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,Tt(t.dtype,"int32")),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=1,f=0;f<i;++f)h*=u[l+f];s[c]=h}return a},o.prototype.unsortedSegmentSum=function(t,e,n){df(t,"unsortedSegmentSum");for(var r=[],o=t.rank-e.rank,a=0;a<o;++a)e=e.expandDims(a+1);for(a=0;a<n;++a){var i=On(a,"int32"),s=Kc(i,e).asType("float32").mul(t).sum(0);r.push(s)}return hr(r)},o.prototype.argMin=function(t,e){df(t,"argMin");var n=[e];Cn("argMin",n,t.rank);for(var r=bn(t.shape,n),o=r[0],a=r[1],i=Gn(o,"int32"),s=k(a),u=this.readSync(i.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var h=l*s,f=c[h],d=0,p=0;p<s;++p){var v=c[h+p];v<f&&(f=v,d=p)}u[l]=d}return i},o.prototype.argMax=function(t,e){df(t,"argMax");var n=[e];Cn("argMax",n,t.rank);for(var r=bn(t.shape,n),o=r[0],a=r[1],i=Gn(o,"int32"),s=k(a),u=this.readSync(i.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var h=l*s,f=c[h],d=0,p=0;p<s;++p){var v=c[h+p];v>f&&(f=v,d=p)}u[l]=d}return i},o.prototype.cumsum=function(t,e,n,r){if(df(t,"cumsum"),e!==t.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(t.rank-1)+" but got axis="+e);for(var o=Tt(t.dtype,"int32"),a=Gn(t.shape,o),i=this.readSync(a.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],c=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},l=0;l<s.length;l+=u)for(var h=0;h<u;h++){var f=c(l,h);if(0===h)i[f]=n?0:s[f];else{var d=c(l,h-1);i[f]=n?s[d]+i[d]:s[f]+i[d]}}return a},o.prototype.equal=function(t,e){return df([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t===e?1:0}))},o.prototype.notEqual=function(t,e){return df([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t!==e?1:0}))},o.prototype.less=function(t,e){return df([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t<e?1:0}))},o.prototype.lessEqual=function(t,e){return df([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t<=e?1:0}))},o.prototype.greater=function(t,e){return df([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t>e?1:0}))},o.prototype.greaterEqual=function(t,e){return df([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t>=e?1:0}))},o.prototype.logicalNot=function(t){df(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return this.makeOutput(n,t.shape,"bool")},o.prototype.logicalAnd=function(t,e){return df([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t&&e}))},o.prototype.logicalOr=function(t,e){return df([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",(function(t,e){return t||e}))},o.prototype.select=function(t,e,n){df([t,e,n],"select");for(var r=this.readSync(t.dataId),o=this.readSync(e.dataId),a=this.readSync(n.dataId),i=Gn(e.shape,Tt(e.dtype,n.dtype)),s=this.readSync(i.dataId),u=0,c=0===t.rank||t.rank>1||1===e.rank?1:k(e.shape.slice(1)),l=0;l<r.length;l++)for(var h=0;h<c;h++)1===r[l]?s[u++]=o[l]:s[u++]=a[l];return i},o.prototype.where=function(t){df([t],"where");var e=this.readSync(t.dataId);return Ga(t.shape,e)},o.prototype.topk=function(t,e,n){return df(t,"topk"),za(this.readSync(t.dataId),t.shape,t.dtype,e)},o.prototype.min=function(t,e){df(t,"min"),Cn("min",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];d<h&&(h=d)}s[c]=h}return a},o.prototype.minimum=function(t,e){return df([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.min(t,e)}))},o.prototype.mod=function(t,e){return df([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){var n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e}))},o.prototype.max=function(t,e){df(t,"max"),Cn("max",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];d>h&&(h=d)}s[c]=h}return a},o.prototype.maximum=function(t,e){return df([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.max(t,e)}))},o.prototype.all=function(t,e){df(t,"all"),Cn("all",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];h=h&&d}s[c]=h}return a},o.prototype.any=function(t,e){df(t,"any"),Cn("any",e,t.rank);for(var n=bn(t.shape,e),r=n[0],o=n[1],a=Gn(r,t.dtype),i=k(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,h=u[l],f=0;f<i;++f){var d=u[l+f];h=h||d}s[c]=h}return a},o.prototype.squaredDifference=function(t,e){return df([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){var n=t-e;return n*n}))},o.prototype.ceil=function(t){df(t,"ceil");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.ceil(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.floor=function(t){df(t,"floor");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.floor(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.sign=function(t){df(t,"x");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)e[r]<0?n[r]=-1:e[r]>0?n[r]=1:n[r]=0;return this.makeOutput(n,t.shape,"float32")},o.prototype.isNaN=function(t){df(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isNaN(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.isInf=function(t){df(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Math.abs(e[r])===1/0&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.isFinite=function(t){df(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isFinite(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},o.prototype.round=function(t){df(t,"round");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=Math.floor(e[r]);e[r]-o<.5?n[r]=Math.floor(e[r]):e[r]-o>.5?n[r]=Math.ceil(e[r]):n[r]=o%2==0?o:o+1}return this.makeOutput(n,t.shape,"float32")},o.prototype.exp=function(t){df(t,"exp");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.exp(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.expm1=function(t){df(t,"expm1");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.expm1(e[r]);return this.makeOutput(n,t.shape,"float32")},o.prototype.log=function(t){df(t,"log");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.log1p=function(t){df(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log1p(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.sqrt=function(t){df(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.rsqrt=function(t){df(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=1/Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},o.prototype.reciprocal=function(t){df(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return this.makeOutput(n,t.shape,"float32")},o.prototype.linear=function(t){return t},o.prototype.relu=function(t){df(t,"relu");for(var e=Gn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.max(0,r[o]);return e},o.prototype.relu6=function(t){df(t,"relu");for(var e=Gn(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.min(Math.max(0,r[o]),6);return e},o.prototype.prelu=function(t,e){return df([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return t<0?e*t:t}))},o.prototype.elu=function(t){df(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=n[r];e[r]=o>=0?o:Math.exp(o)-1}return this.makeOutput(e,t.shape,"float32")},o.prototype.eluDer=function(t,e){df([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),o=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];n[a]=i>=1?o[a]:o[a]*(i+1)}return this.makeOutput(n,e.shape,"float32")},o.prototype.selu=function(t){df(t,"selu");for(var e=su,n=uu,r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>=0?n*i:e*(Math.exp(i)-1)}return this.makeOutput(r,t.shape,"float32")},o.prototype.clip=function(t,e,n){df(t,"clip");for(var r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>n?n:i<e?e:i}return this.makeOutput(r,t.shape,"float32")},o.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<t.size;++r){var o=n[2*r],a=n[2*r+1];e[r]=Math.hypot(o,a)}return this.makeOutput(e,t.shape,"float32")},o.prototype.int=function(t){df(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return this.makeOutput(e,t.shape,"int32")},o.prototype.sigmoid=function(t){df(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return this.makeOutput(e,t.shape,"float32")},o.prototype.softplus=function(t){df(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o]>-e,i=r[o]<e,s=Math.exp(r[o]),u=void 0;u=i?s:a?r[o]:Math.log(1+s),n[o]=u}return this.makeOutput(n,t.shape,"float32")},o.prototype.sin=function(t){df(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.cos=function(t){df(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.tan=function(t){df(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.asin=function(t){df(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.acos=function(t){df(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.atan=function(t){df(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.atan2=function(t,e){return df([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,(function(t,e){return Math.atan2(t,e)}))},o.prototype.sinh=function(t){df(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.cosh=function(t){df(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.tanh=function(t){df(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=T(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.asinh=function(t){df(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.acosh=function(t){df(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.atanh=function(t){df(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return this.makeOutput(e,t.shape,"float32")},o.prototype.erf=function(t){df(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=Math.sign(n[r]),a=Math.abs(n[r]),i=1/(1+.3275911*a);e[r]=o*(1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a))}return this.makeOutput(e,t.shape,"float32")},o.prototype.step=function(t,e){void 0===e&&(e=0),df(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o];isNaN(a)?n[o]=NaN:n[o]=a>0?1:e}return this.makeOutput(n,t.shape,"float32")},o.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.conv2d(e,n,r);return o&&(s=this.add(s,o)),a&&(s=gf(this,s,a,i)),s},o.prototype.conv2d=function(t,e,n){df([t,e],"conv2d");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=er(n.outShape,t.dtype),h=t.strides[0],f=c?t.strides[1]:t.strides[2],d=c?t.strides[2]:1,p=c?1:t.strides[1],v=l.strides[0],g=c?l.strides[1]:l.strides[2],m=c?l.strides[2]:1,y=c?1:l.strides[1],x=this.readSync(t.dataId),b=this.readSync(e.dataId),w=l.values,C=0;C<n.batchSize;++C)for(var E=C*h,R=C*v,I=0;I<n.outHeight;++I)for(var k=R+I*g,S=I*n.strideHeight-u,A=0;A<r;A++){var T=S+A*a;if(!(T<0||T>=n.inHeight))for(var D=A*e.strides[0],N=E+T*f,F=0;F<n.outWidth;++F)for(var _=k+F*m,O=F*n.strideWidth-s,M=0;M<o;M++){var B=O+M*i;if(!(B<0||B>=n.inWidth))for(var P=N+B*d,L=D+M*e.strides[1],W=0;W<n.inChannels;++W){for(var U=x[P+W*p],V=0;V<n.outChannels;++V)w[_+V*y]+=U*b[L+V];L+=n.outChannels}}}return l.toTensor()},o.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,o=n.filterHeight,a=n.filterWidth,i=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,h=n.padInfo.top,f=er(n.outShape,t.dtype),d=this.readSync(t.dataId),p=this.readSync(e.dataId),v=f.values,g=0;g<n.batchSize;++g)for(var m=g*t.strides[0],y=g*f.strides[0],x=0;x<n.outDepth;++x)for(var b=y+x*f.strides[1],w=x*n.strideDepth-c,C=0;C<r;C++){var E=w+C*i;if(!(E<0||E>=n.inDepth))for(var R=C*e.strides[0],I=m+E*t.strides[1],k=0;k<n.outHeight;++k)for(var S=b+k*f.strides[2],A=k*n.strideHeight-h,T=0;T<o;T++){var D=A+T*s;if(!(D<0||D>=n.inHeight))for(var N=R+T*e.strides[1],F=I+D*t.strides[2],_=0;_<n.outWidth;++_)for(var O=S+_*n.outChannels,M=_*n.strideWidth-l,B=0;B<a;B++){var P=M+B*u;if(!(P<0||P>=n.inWidth))for(var L=N+B*e.strides[2],W=F+P*n.inChannels,U=L,V=0;V<n.inChannels;++V){for(var z=d[W+V],G=0;G<n.outChannels;++G)v[O+G]+=z*p[U+G];U+=n.outChannels}}}}return f.toTensor()},o.prototype.conv2dDerInput=function(t,e,n){df([t,e],"conv2dDerInput");for(var r=er(n.inShape,"float32"),o=r.values,a=this.readSync(t.dataId),i=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],h=n.batchSize,f=n.filterHeight,d=n.filterWidth,p=n.inChannels,v=n.inHeight,g=n.inWidth,m=n.outChannels,y=n.outHeight,x=n.outWidth,b=n.strideHeight,w=n.strideWidth,C=n.dataFormat,E=f-1-n.padInfo.top,R=d-1-n.padInfo.left,I="channelsLast"===C,k=r.strides[0],S=I?r.strides[1]:r.strides[2],A=I?r.strides[2]:1,T=I?1:r.strides[1],D=t.strides[0],N=I?t.strides[1]:t.strides[2],F=I?t.strides[2]:1,_=I?1:t.strides[1],O=0;O<h;++O)for(var M=0;M<p;++M)for(var B=0;B<v;++B)for(var P=B-E,L=Math.max(0,Math.ceil(P/b)),W=Math.min(y,(f+P)/b),U=0;U<g;++U){for(var V=U-R,z=Math.max(0,Math.ceil(V/w)),G=Math.min(x,(d+V)/w),H=0,q=L;q<W;++q)for(var K=q*b-P,j=z;j<G;++j)for(var X=D*O+N*q+F*j,Y=u*(f-1-K)+c*(d-1-(j*w-V))+l*M,$=0;$<m;++$){H+=a[X+_*$]*i[Y+$]}o[k*O+S*B+A*U+T*M]=H}return r.toTensor()},o.prototype.conv3dDerInput=function(t,e,n){for(var r=er(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(t.dataId),h=t.strides,f=h[0],d=h[1],p=h[2],v=h[3],g=this.readSync(e.dataId),m=e.strides,y=m[0],x=m[1],b=m[2],w=m[3],C=n.batchSize,E=n.filterDepth,R=n.filterHeight,I=n.filterWidth,k=n.inChannels,S=n.inDepth,A=n.inHeight,T=n.inWidth,D=n.outChannels,N=n.outDepth,F=n.outHeight,_=n.outWidth,O=n.strideDepth,M=n.strideHeight,B=n.strideWidth,P=E-1-n.padInfo.front,L=R-1-n.padInfo.top,W=I-1-n.padInfo.left,U=0;U<C;++U)for(var V=0;V<k;++V)for(var z=0;z<S;++z)for(var G=z-P,H=Math.max(0,Math.ceil(G/O)),q=Math.min(N,(E+G)/O),K=0;K<A;++K)for(var j=K-L,X=Math.max(0,Math.ceil(j/M)),Y=Math.min(F,(R+j)/M),$=0;$<T;++$){for(var Q=$-W,J=Math.max(0,Math.ceil(Q/B)),Z=Math.min(_,(I+Q)/B),tt=0,et=H;et<q;++et)for(var nt=et*O-G,rt=X;rt<Y;++rt)for(var ot=rt*M-j,at=J;at<Z;++at)for(var it=f*U+d*et+p*rt+v*at,st=y*(E-1-nt)+x*(R-1-ot)+b*(I-1-(at*B-Q))+w*V,ut=0;ut<D;++ut){tt+=l[it+ut]*g[st+ut]}o[i*U+s*z+u*K+c*$+V]=tt}return r.toTensor()},o.prototype.conv2dDerFilter=function(t,e,n){df([t,e],"conv2dDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s="channelsLast"===n.dataFormat,u=er(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,h=this.bufferSync(t),f=this.bufferSync(e),d=0;d<a;++d)for(var p=Math.max(0,Math.ceil((l-d)/r)),v=Math.min(n.outHeight,(n.inHeight+l-d)/r),g=0;g<i;++g)for(var m=Math.max(0,Math.ceil((c-g)/o)),y=Math.min(n.outWidth,(n.inWidth+c-g)/o),x=0;x<n.inChannels;++x)for(var b=0;b<n.outChannels;++b){for(var w=0,C=0;C<n.batchSize;++C)for(var E=p;E<v;++E)for(var R=d+E*r-l,I=m;I<y;++I){var k=g+I*o-c;w+=s?h.get(C,R,k,x)*f.get(C,E,I,b):h.get(C,x,R,k)*f.get(C,b,E,I)}u.set(w,d,g,x,b)}return u.toTensor()},o.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=er(n.filterShape,"float32"),l=c.values,h=c.strides,f=h[0],d=h[1],p=h[2],v=h[3],g=this.readSync(e.dataId),m=e.strides,y=m[0],x=m[1],b=m[2],w=m[3],C=this.readSync(t.dataId),E=t.strides,R=E[0],I=E[1],k=E[2],S=E[3],A=n.padInfo.front,T=n.padInfo.left,D=n.padInfo.top,N=0;N<i;++N)for(var F=Math.max(0,Math.ceil((A-N)/r)),_=Math.min(n.outDepth,(n.inDepth+A-N)/r),O=N*f,M=0;M<s;++M)for(var B=Math.max(0,Math.ceil((D-M)/o)),P=Math.min(n.outHeight,(n.inHeight+D-M)/o),L=M*d+O,W=0;W<u;++W)for(var U=Math.max(0,Math.ceil((T-W)/a)),V=Math.min(n.outWidth,(n.inWidth+T-W)/a),z=W*p+L,G=0;G<n.inChannels;++G)for(var H=G*v+z,q=0;q<n.outChannels;++q){for(var K=0,j=0;j<n.batchSize;++j)for(var X=j*R,Y=j*y,$=F;$<_;++$)for(var Q=(N+$*r-A)*I+X,J=$*x+Y,Z=B;Z<P;++Z)for(var tt=(M+Z*o-D)*k+Q,et=Z*b+J,nt=U;nt<V;++nt){var rt=nt*w+et;K+=C[(W+nt*a-T)*S+tt+G]*g[rt+q]}l[H+q]=K}return c.toTensor()},o.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return o&&(s=this.add(s,o)),a&&(s=gf(this,s,a,i)),s},o.prototype.depthwiseConv2D=function(t,e,n){df([t,e],"depthwiseConv2D");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=er(n.outShape,t.dtype),h=this.readSync(t.dataId),f=this.readSync(e.dataId),d=l.values,p=0;p<n.batchSize;++p)for(var v=p*t.strides[0],g=p*l.strides[0],m=0;m<n.outHeight;++m)for(var y=g+m*l.strides[1],x=m*n.strideHeight-s,b=0;b<r;++b){var w=x+b*a;if(!(w<0||w>=n.inHeight))for(var C=b*e.strides[0],E=v+w*t.strides[1],R=0;R<n.outWidth;++R)for(var I=y+R*l.strides[2],k=R*n.strideWidth-u,S=0;S<o;++S){var A=k+S*i;if(!(A<0||A>=n.inWidth))for(var T=C+S*e.strides[1],D=E+A*n.inChannels,N=I,F=T,_=0;_<n.inChannels;++_){for(var O=h[D+_],M=0;M<c;++M)d[N+M]+=O*f[F+M];N+=c,F+=c}}}return l.toTensor()},o.prototype.depthwiseConv2DDerInput=function(t,e,n){df([t,e],"depthwiseConv2DDerInput");for(var r=er(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=this.readSync(t.dataId),l=t.strides,h=l[0],f=l[1],d=l[2],p=this.readSync(e.dataId),v=e.strides,g=v[0],m=v[1],y=v[2],x=n.batchSize,b=n.filterHeight,w=n.filterWidth,C=n.inChannels,E=n.inHeight,R=n.inWidth,I=n.outChannels,k=n.outHeight,S=n.outWidth,A=n.strideHeight,T=n.strideWidth,D=b-1-n.padInfo.top,N=w-1-n.padInfo.left,F=I/C,_=0;_<x;++_)for(var O=0;O<C;++O)for(var M=0;M<E;++M)for(var B=M-D,P=Math.max(0,Math.ceil(B/A)),L=Math.min(k,(b+B)/A),W=0;W<R;++W){for(var U=W-N,V=Math.max(0,Math.ceil(U/T)),z=Math.min(S,(w+U)/T),G=0,H=P;H<L;++H)for(var q=H*A-B,K=V;K<z;++K)for(var j=h*_+f*H+d*K,X=g*(b-1-q)+m*(w-1-(K*T-U))+y*O,Y=0;Y<F;++Y){G+=c[j+(O*F+Y)]*p[X+Y]}o[i*_+s*M+u*W+O]=G}return r.toTensor()},o.prototype.depthwiseConv2DDerFilter=function(t,e,n){df([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=er(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,h=this.bufferSync(t),f=this.bufferSync(e),d=0;d<a;++d)for(var p=Math.max(0,Math.ceil((c-d)/r)),v=Math.min(n.outHeight,(n.inHeight+c-d)/r),g=0;g<i;++g)for(var m=Math.max(0,Math.ceil((u-g)/o)),y=Math.min(n.outWidth,(n.inWidth+u-g)/o),x=0;x<n.outChannels;++x){for(var b=Math.trunc(x/l),w=x%l,C=0,E=0;E<n.batchSize;++E)for(var R=p;R<v;++R)for(var I=d+R*r-c,k=m;k<y;++k){var S=g+k*o-u;C+=h.get(E,I,S,b)*f.get(E,R,k,x)}s.set(C,d,g,b,w)}return s.toTensor()},o.prototype.tile=function(t,e){return df(t,"tile"),Va(this.bufferSync(t),e)},o.prototype.pad=function(t,e,n){df(t,"pad");var r=e.map((function(e,n){return e[0]+t.shape[n]+e[1]})),o=e.map((function(t){return t[0]})),a=this.bufferSync(t),i=er(r,t.dtype);0!==n&&i.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),c=u.map((function(t,e){return t+o[e]}));i.set.apply(i,[a.get.apply(a,u)].concat(c))}return i.toTensor()},o.prototype.gather=function(t,e,n){df([t,e],"gather");var r=t.shape.slice(),o=this.readSync(e.dataId);r[n]=o.length;for(var a=er(r,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=o[u[n]];var l=i.locToIndex(c);a.values[s]=i.values[l]}return a.toTensor()},o.prototype.batchToSpaceND=function(t,e,n){df([t],"batchToSpaceND");var r=e.reduce((function(t,e){return t*e})),o=pr(t.shape,e,r),a=vr(o.length,e.length),i=gr(t.shape,e,r),s=mr(n,e.length),u=yr(i,n,e.length);return ua(t.reshape(o),a).reshape(i).slice(s,u)},o.prototype.spaceToBatchND=function(t,e,n){df([t],"spaceToBatchND");var r=e.reduce((function(t,e){return t*e})),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=pr(i.shape,e,r,!1),u=vr(s.length,e.length,!1),c=gr(i.shape,e,r,!1);return ua(i.reshape(s),u).reshape(c)},o.prototype.maxPool=function(t,e){return df(t,"maxPool"),pf(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"max").toTensor()},o.prototype.maxPoolBackprop=function(t,e,n,r){df([e,n],"maxPoolBackprop");for(var o=this.readSync(e.dataId),a=er(r.outShape,e.dtype,vf(o,e.shape,e.dtype,r).values),i=r.strideHeight,s=r.strideWidth,u=r.dilationHeight,c=r.dilationWidth,l=r.effectiveFilterHeight,h=r.effectiveFilterWidth,f=h-1-r.padInfo.left,d=l-1-r.padInfo.top,p=er(e.shape,"float32"),v=this.bufferSync(t),g=0;g<r.batchSize;++g)for(var m=0;m<r.inChannels;++m)for(var y=0;y<r.inHeight;++y)for(var x=0;x<r.inWidth;++x){for(var b=y-d,w=x-f,C=0,E=0;E<l;E+=u){var R=(b+E)/i;if(!(R<0||R>=r.outHeight||Math.floor(R)!==R))for(var I=0;I<h;I+=c){var k=(w+I)/s;if(!(k<0||k>=r.outWidth||Math.floor(k)!==k)){var S=l*h-1-a.get(g,R,k,m)===E*h+I?1:0;if(0!==S)C+=v.get(g,R,k,m)*S}}}p.set(C,g,y,x,m)}return p.toTensor()},o.prototype.avgPoolBackprop=function(t,e,n){df([t,e],"avgPoolBackprop");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,h=l-1-n.padInfo.left,f=c-1-n.padInfo.top,d=er(e.shape,"float32"),p=1/(a*i),v=this.bufferSync(t),g=0;g<n.batchSize;++g)for(var m=0;m<n.inChannels;++m)for(var y=0;y<n.inHeight;++y)for(var x=0;x<n.inWidth;++x){for(var b=y-f,w=x-h,C=0,E=0;E<c;E+=s){var R=(b+E)/r;if(!(R<0||R>=n.outHeight||Math.floor(R)!==R))for(var I=0;I<l;I+=u){var k=(w+I)/o;if(!(k<0||k>=n.outWidth||Math.floor(k)!==k))C+=v.get(g,R,k,m)}}d.set(C*p,g,y,x,m)}return d.toTensor()},o.prototype.pool3d=function(t,e,n){df(t,"pool3d");for(var r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.front,d=e.padInfo.top,p=e.padInfo.left,v="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,g=this.readSync(t.dataId),m=er(e.outShape,t.dtype),y=m.values,x=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],b=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],E=0;E<e.batchSize;++E)for(var R=E*x,I=E*t.strides[0],k=0;k<e.inChannels;++k)for(var S=0;S<e.outDepth;++S){for(var A=S*r-f,T=A;T<0;)T+=i;for(var D=Math.min(e.inDepth,c+A),N=R+S*b,F=0;F<e.outHeight;++F){for(var _=F*o-d,O=_;O<0;)O+=s;for(var M=Math.min(e.inHeight,l+_),B=N+F*w,P=0;P<e.outWidth;++P){for(var L=P*a-p,W=L;W<0;)W+=u;for(var U=Math.min(e.inWidth,h+L),V=B+P*C,z=v,G=0,H=0,q=T;q<D;q+=i){for(var K=I+q*t.strides[1],j=O;j<M;j+=s){for(var X=K+j*t.strides[2],Y=W;Y<U;Y+=u){var $=g[X+Y*t.strides[3]+k];if("max"===n&&$>z?z=$:"avg"===n&&(G+=$,H++),isNaN(z))break}if(isNaN(z))break}if(isNaN(z))break}y[V+k]="avg"===n?G/H:z}}}return m.toTensor()},o.prototype.avgPool3d=function(t,e){return df(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},o.prototype.avgPool3dBackprop=function(t,e,n){df([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,h=n.dilationWidth,f=n.effectiveFilterDepth,d=n.effectiveFilterHeight,p=n.effectiveFilterWidth,v=f-1-n.padInfo.front,g=p-1-n.padInfo.left,m=d-1-n.padInfo.top,y=er(e.shape,"float32"),x=1/(i*s*u),b=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var E=0;E<n.inDepth;++E)for(var R=0;R<n.inHeight;++R)for(var I=0;I<n.inWidth;++I){for(var k=E-v,S=R-m,A=I-g,T=0,D=0;D<f;D+=c){var N=(k+D)/r;if(!(N<0||N>=n.outDepth||Math.floor(N)!==N))for(var F=0;F<d;F+=l){var _=(S+F)/o;if(!(_<0||_>=n.outHeight||Math.floor(_)!==_))for(var O=0;O<p;O+=h){var M=(A+O)/a;if(!(M<0||M>=n.outWidth||Math.floor(M)!==M))T+=b.get(w,N,_,M,C)}}}y.set(T*x,w,E,R,I,C)}return y.toTensor()},o.prototype.maxPool3d=function(t,e){return df(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},o.prototype.maxPool3dPositions=function(t,e){for(var n=er(e.outShape,"int32"),r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=e.padInfo.front,d=e.padInfo.top,p=e.padInfo.left,v=this.bufferSync(t),g=0;g<e.batchSize;++g)for(var m=0;m<e.inChannels;++m)for(var y=0;y<e.outDepth;++y){for(var x=y*r-f,b=x;b<0;)b+=i;for(var w=Math.min(e.inDepth,c+x),C=0;C<e.outHeight;++C){for(var E=C*o-d,R=E;R<0;)R+=s;for(var I=Math.min(e.inHeight,l+E),k=0;k<e.outWidth;++k){for(var S=k*a-p,A=S;A<0;)A+=u;for(var T=Math.min(e.inWidth,h+S),D=Number.NEGATIVE_INFINITY,N=-1,F=b;F<w;F+=i)for(var _=F-x,O=R;O<I;O+=s)for(var M=O-E,B=A;B<T;B+=u){var P=B-S,L=v.get(g,F,O,B,m);L>=D&&(D=L,N=_*l*h+M*l+P)}n.set(N,g,y,C,k,m)}}}return n.toTensor()},o.prototype.maxPool3dBackprop=function(t,e,n,r){df([e,n],"maxPool3dBackprop");for(var o=this.maxPool3dPositions(e,r),a=r.strideDepth,i=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,h=r.effectiveFilterDepth,f=r.effectiveFilterHeight,d=r.effectiveFilterWidth,p=h-1-r.padInfo.front,v=d-1-r.padInfo.left,g=f-1-r.padInfo.top,m=er(e.shape,"float32"),y=this.bufferSync(o),x=this.bufferSync(t),b=0;b<r.batchSize;++b)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var E=0;E<r.inHeight;++E)for(var R=0;R<r.inWidth;++R){for(var I=C-p,k=E-g,S=R-v,A=0,T=0;T<h;T+=u){var D=(I+T)/a;if(!(D<0||D>=r.outDepth||Math.floor(D)!==D))for(var N=0;N<f;N+=c){var F=(k+N)/i;if(!(F<0||F>=r.outHeight||Math.floor(F)!==F))for(var _=0;_<d;_+=l){var O=(S+_)/s;if(!(O<0||O>=r.outWidth||Math.floor(O)!==O)){var M=h*f*d-1-y.get(b,D,F,O,w)===T*f*d+N*d+_?1:0;if(0!==M)A+=x.get(b,D,F,O,w)*M}}}}m.set(A,b,C,E,R,w)}return m.toTensor()},o.prototype.cast=function(t,e){return Ra(t,e,this)},o.prototype.reshape=function(t,e){return Ia(t,e)},o.prototype.avgPool=function(t,e){return df(t,"avgPool"),df(t,"maxPool"),pf(this.readSync(t.dataId),t.shape,t.dtype,t.strides,e,"avg").toTensor().toFloat()},o.prototype.resizeBilinear=function(t,e,n,r){df(t,"resizeBilinear");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(k([a,e,n,u])),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],f=[r&&e>1?e-1:e,r&&n>1?n-1:n],d=0,p=h[0]/f[0],v=h[1]/f[1],g=0;g<a;g++)for(var m=0;m<e;m++)for(var y=p*m,x=Math.floor(y),b=y-x,w=Math.min(i-1,Math.ceil(y)),C=g*t.strides[0]+x*t.strides[1],E=g*t.strides[0]+w*t.strides[1],R=0;R<n;R++)for(var I=v*R,S=Math.floor(I),A=I-S,T=Math.min(s-1,Math.ceil(I)),D=C+S*t.strides[2],N=E+S*t.strides[2],F=C+T*t.strides[2],_=E+T*t.strides[2],O=0;O<u;O++){var M=c[D+O],B=c[N+O],P=M+(c[F+O]-M)*A,L=P+(B+(c[_+O]-B)*A-P)*b;l[d++]=L}return Fn(l,[a,e,n,u])},o.prototype.resizeBilinearBackprop=function(t,e,n){df([t,e],"resizeBilinearBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),f=[n&&c>1?a-1:a,n&&l>1?i-1:i],d=[n&&c>1?c-1:c,n&&l>1?l-1:l],p=f[0]/d[0],v=f[1]/d[1],g=this.readSync(t.dataId),m=0,y=0;y<o;y++)for(var x=y*e.strides[0],b=0;b<c;b++)for(var w=b*p,C=Math.floor(w),E=Math.min(Math.ceil(w),a-1),R=x+C*e.strides[1],I=x+E*e.strides[1],k=w-C,S=1-k,A=0;A<l;A++)for(var T=A*v,D=Math.floor(T),N=Math.min(Math.ceil(T),i-1),F=T-D,_=1-F,O=R+D*e.strides[2],M=R+N*e.strides[2],B=I+D*e.strides[2],P=I+N*e.strides[2],L=S*_,W=S*F,U=k*_,V=k*F,z=0;z<s;z++){var G=g[m++];h[O+z]+=G*L,h[M+z]+=G*W,h[B+z]+=G*U,h[P+z]+=G*V}return Ln(h,[o,i,a,s],e.dtype)},o.prototype.resizeNearestNeighbor=function(t,e,n,r){df(t,"resizeNearestNeighbor");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(a*e*n*u),h=[r&&e>1?i-1:i,r&&n>1?s-1:s],f=[r&&e>1?e-1:e,r&&n>1?n-1:n],d=h[0]/f[0],p=h[1]/f[1],v=0,g=0;g<a;g++)for(var m=g*t.strides[0],y=0;y<e;y++)for(var x=d*y,b=m+Math.min(i-1,r?Math.round(x):Math.floor(x))*t.strides[1],w=0;w<n;w++)for(var C=p*w,E=b+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],R=0;R<u;R++){var I=c[E+R];l[v++]=I}return Fn(l,[a,e,n,u],t.dtype)},o.prototype.resizeNearestNeighborBackprop=function(t,e,n){df([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],h=new Float32Array(o*a*i*s),f=this.readSync(t.dataId),d=[n&&c>1?a-1:a,n&&l>1?i-1:i],p=[n&&c>1?c-1:c,n&&l>1?l-1:l],v=d[0]/p[0],g=d[1]/p[1],m=1/v,y=1/g,x=2*Math.ceil(m)+2,b=2*Math.ceil(y)+2,w=0;w<o;w++)for(var C=w*e.strides[0],E=0;E<a;E++)for(var R=C+E*e.strides[1],I=Math.floor(E*m),k=Math.floor(I-x/2),S=0;S<i;S++)for(var A=R+S*e.strides[2],T=Math.floor(S*y),D=Math.floor(T-b/2),N=0;N<s;N++){for(var F=0,_=0;_<x;_++){var O=_+k;if(!(O<0||O>=c)){var M=C+O*t.strides[1],B=O*v;if(E===Math.min(a-1,n?Math.round(B):Math.floor(B)))for(var P=0;P<b;P++){var L=P+D;if(!(L<0||L>=l)){var W=M+L*t.strides[2],U=L*g;S===Math.min(i-1,n?Math.round(U):Math.floor(U))&&(F+=f[W+N])}}}}h[A+N]=F}return Ln(h,e.shape,e.dtype)},o.prototype.batchNormalization=function(t,e,n,r,o,a){df([t,e,n,o,a],"batchNorm");for(var i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=o?this.readSync(o.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),h=new Float32Array(i.length),f=l.length,d=c.length,p=u.length,v=s.length,g=0,m=0,y=0,x=0,b=0;b<i.length;++b)h[b]=l[g++]+(i[b]-s[m++])*c[y++]/Math.sqrt(u[x++]+r),g>=f&&(g=0),m>=v&&(m=0),y>=d&&(y=0),x>=p&&(x=0);return Ln(h,t.shape)},o.prototype.localResponseNormalization4D=function(t,e,n,r,o){df(t,"localResponseNormalization4D");var a=t.shape[3],i=a-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(t){for(var n=t%a,r=t-n+Math.max(0,n-e),o=t-n+Math.min(n+e,i),u=0;r<=o;r++){var c=s[r];u+=c*c}return u}for(var h=0;h<u;h++){var f=l(h),d=s[h]*Math.pow(n+r*f,-o);c[h]=d}return Ln(c,t.shape)},o.prototype.LRNGrad=function(t,e,n,r,o,a,i){df(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),h=new Float32Array(t.size),f=t.size,d=0;d<f;d++){for(var p=d%s,v=d-p+Math.max(0,p-r),g=d-p+Math.min(s,p+r+1),m=0,y=v;y<g;y++)m+=Math.pow(c[y],2);m=a*m+o;for(y=v;y<g;y++){var x=-2*a*i*c[y]*l[d]/m;d===y&&(x+=Math.pow(m,-i)),x*=u[d],h[y]+=x}}return Ln(h,t.shape)},o.prototype.multinomial=function(t,e,n,r){df(t,"multinomial");for(var o=e?t:ia(t),a=o.shape[0],i=o.shape[1],s=Gn([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(o.dataId),l=0;l<a;++l){var h=l*i,f=new Float32Array(i-1);f[0]=c[h];for(var d=1;d<f.length;++d)f[d]=f[d-1]+c[h+d];for(var p=Yu(r.toString()),v=l*n,g=0;g<n;++g){var m=p();u[v+g]=f.length;for(var y=0;y<f.length;y++)if(m<f[y]){u[v+g]=y;break}}}return s},o.prototype.oneHot=function(t,e,n,r){df(t,"oneHot");var o=new Float32Array(t.size*e);o.fill(r);for(var a=this.readSync(t.dataId),i=0;i<t.size;++i)a[i]>=0&&a[i]<e&&(o[i*e+a[i]]=n);return Bn(o,[t.size,e],"int32")},o.prototype.nonMaxSuppression=function(t,e,n,r,o){return df(t,"nonMaxSuppression"),Oa(this.readSync(t.dataId),this.readSync(e.dataId),n,r,o)},o.prototype.fft=function(t){return this.fftBatch(t,!1)},o.prototype.ifft=function(t){return this.fftBatch(t,!0)},o.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],o=er(t.shape,"float32"),a=er(t.shape,"float32"),i=Dn(t).as2D(n,r),s=Nn(t).as2D(n,r),u=0;u<n;u++)for(var c=i.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),h=Tn(c,l),f=this.readSync(this.fftImpl(h,e).dataId),d=0;d<r;d++){var p=Ta(f,d);o.values[u*r+d]=p.real,a.values[u*r+d]=p.imag}return Tn(o.toTensor(),a.toTensor()).as2D(n,r)},o.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var o=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(o=Tn(Dn(o).div(On(r)),Nn(o).div(On(r)))),o}var a=this.readSync(t.dataId),i=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(a,r,e));return Tn(i.real,i.imag).as2D(t.shape[0],t.shape[1])},o.prototype.isExponentOf2=function(t){return 0==(t&t-1)},o.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),o=e/2,a=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=0;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),i=Tn(a.real,a.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=2;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),u=Tn(s.real,s.imag).as1D();i=this.fftRadix2(i,o,n),u=this.fftRadix2(u,o,n);var c=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),o=0;o<Math.ceil(t/2);o++){var a=(e?2:-2)*Math.PI*(o/t);n[o]=Math.cos(a),r[o]=Math.sin(a)}return{real:n,imag:r}}(e,n),l=Tn(c.real,c.imag).mul(u),h=i.add(l),f=i.sub(l),d=Dn(h).concat(Dn(f)),p=Nn(h).concat(Nn(f));return Tn(d,p).as1D()},o.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),o=0;o<e;o++){for(var a=0,i=0,s=0;s<e;s++){var u=Na(o*s,e,n),c=Ta(t,s);a+=c.real*u.real-c.imag*u.imag,i+=c.real*u.imag+c.imag*u.real}n&&(a/=e,i/=e),Da(r,a,i,o)}return r},o.prototype.depthToSpace=function(t,e,n){C("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),C(e>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+e}));for(var r=t.shape[0],o=t.shape[1],a=t.shape[2],i=t.shape[3],s=o*e,u=a*e,c=i/(e*e),l=this.readSync(t.dataId),h=new Float32Array(r*s*u*c),f=0,d=0;d<r;++d)for(var p=0;p<s;++p)for(var v=Math.floor(p/e),g=p%e,m=0;m<u;++m)for(var y=Math.floor(m/e),x=(g*e+m%e)*c,b=0;b<c;++b){var w=b+x+i*(y+a*(v+o*d));h[f++]=l[w]}return Ln(h,[r,s,u,c])},o.prototype.broadcastedBinaryOp=function(t,e,n,r){var o=Pr(t.shape,e.shape),a=er(o,n),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Mr(t.shape,o),c=Mr(e.shape,o),l=a.values;if(u.length+c.length===0)for(var h=0;h<l.length;++h)l[h]=r(i[h%i.length],s[h%s.length]);else{var f=this.bufferSync(t),d=this.bufferSync(e),p=function(n){var o=a.indexToLoc(n),h=o.slice(-t.rank);u.forEach((function(t){return h[t]=0}));var p=f.locToIndex(h),v=o.slice(-e.rank);c.forEach((function(t){return v[t]=0}));var g=d.locToIndex(v);l[n]=r(i[p],s[g])};for(h=0;h<l.length;++h)p(h)}return a.toTensor()},o.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=Pr(t.shape,e.shape),o=er(r,"float32"),a=er(r,"float32"),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=Mr(t.shape,r),c=Mr(e.shape,r),l=o.values,h=a.values;if(u.length+c.length===0)for(var f=0;f<l.length;f++){var d=f%i.length,p=f%s.length,v=n(i[2*d],i[2*d+1],s[2*p],s[2*p+1]);l[f]=v.real,h[f]=v.imag}else{var g=this.bufferSync(this.data.get(t.dataId).complexTensors.real),m=this.bufferSync(this.data.get(e.dataId).complexTensors.real),y=function(r){var a=o.indexToLoc(r),f=a.slice(-t.rank);u.forEach((function(t){return f[t]=0}));var d=g.locToIndex(f),p=a.slice(-e.rank);c.forEach((function(t){return p[t]=0}));var v=m.locToIndex(p),y=n(i[2*d],i[2*d+1],s[2*v],s[2*v+1]);l[r]=y.real,h[r]=y.imag};for(f=0;f<l.length;f++)y(f)}return this.complex(o.toTensor(),a.toTensor())},o.prototype.split=function(t,e,n){return Ua(t,e,n)},o.prototype.dispose=function(){},o.prototype.floatPrecision=function(){return 32},o.prototype.epsilon=function(){return 1e-7},o.prototype.cropAndResize=function(t,e,n,r,o,a){for(var i=t.shape,s=i[0],u=i[1],c=i[2],l=i[3],h=e.shape[0],f=r[0],d=r[1],p=er([h,f,d,l],"float32"),v=this.readSync(e.dataId),g=this.readSync(n.dataId),m=this.readSync(t.dataId),y=t.strides,x=p.strides,b=0;b<h;b++){var w=4*b,C=v[w],E=v[w+1],R=v[w+2],I=v[w+3],k=g[b];if(!(k>=s))for(var S=f>1?(R-C)*(u-1)/(f-1):0,A=d>1?(I-E)*(c-1)/(d-1):0,T=0;T<f;T++){var D=f>1?C*(u-1)+T*S:.5*(C+R)*(u-1);if(D<0||D>u-1)for(var N=0;N<d;N++)for(var F=0;F<l;F++){var _=F+N*x[2]+T*x[1]+b*x[0];p.values[_]=a}else if("bilinear"===o){var O=Math.floor(D),M=Math.ceil(D),B=D-O;for(N=0;N<d;N++){if((q=d>1?E*(c-1)+N*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++){_=F+N*x[2]+T*x[1]+b*x[0];p.values[_]=a}else{var P=Math.floor(q),L=Math.ceil(q),W=q-P;for(F=0;F<l;F++){var U=m[_=F+P*y[2]+O*y[1]+k*y[0]],V=m[_=F+L*y[2]+O*y[1]+k*y[0]],z=m[_=F+P*y[2]+M*y[1]+k*y[0]],G=U+(V-U)*W,H=z+(m[_=F+L*y[2]+M*y[1]+k*y[0]]-z)*W;_=F+N*x[2]+T*x[1]+b*x[0],p.values[_]=G+(H-G)*B}}}}else for(N=0;N<d;++N){var q;if((q=d>1?E*(c-1)+N*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++){_=F+N*x[2]+T*x[1]+b*x[0];p.values[_]=a}else{var K=Math.round(q),j=Math.round(D);for(F=0;F<l;F++){var X=F+K*y[2]+j*y[1]+k*y[0],Y=F+N*x[2]+T*x[1]+b*x[0];p.values[Y]=m[X]}}}}}return p.toTensor()},o.prototype.sparseToDense=function(t,e,n,r){var o=Go(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.sliceSize,u=o.strides,c=o.outputSize;return this.scatter(t,e,n,c,s,i,a,u,r,!1)},o.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=Po(t,e),a=o[0],i=o[1],s=o[2],u=o[3];if(0===i)return Fn([],a,t.dtype);for(var c=new mt([i,s],t.dtype),l=this.readSync(e.dataId),h=this.readSync(t.dataId),f=0;f<i;f++){for(var d=[],p=0,v=0;v<r;v++){var g=l[f*r+v];p+=g*u[v],d.push(g)}if(p<0||p>=t.size/s)throw new Error("Invalid indices: "+d+" does not index into "+t.shape);for(var m=0;m<s;m++)c.values[f*s+m]=h[p*s+m]}return c.toTensor().reshape(a)},o.prototype.scatterND=function(t,e,n){var r=Go(0,t,n),o=r.sliceRank,a=r.numUpdates,i=r.sliceSize,s=r.strides,u=r.outputSize,c=On(0);return this.scatter(t,e,n,u,i,a,o,s,c,!0)},o.prototype.fill=function(t,e,n){var r=P(n=n||j(e),k(t));return r.fill(e),Lt.makeTensor(r,t,n,this)},o.prototype.onesLike=function(t){if("string"===t.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(t.shape,1,t.dtype)},o.prototype.zerosLike=function(t){var e=P(t.dtype,k(t.shape));return this.makeOutput(e,t.shape,t.dtype)},o.prototype.linspace=function(t,e,n){return ka(t,e,n)},o.prototype.scatter=function(t,e,n,r,o,a,i,s,u,c){var l=[r/o,o],h=this.readSync(t.dataId),f=this.readSync(e.dataId);if(0===r)return Fn([],n,e.dtype);var d=new mt(l,e.dtype);d.values.fill(this.readSync(u.dataId)[0]);for(var p=0;p<a;p++){for(var v=[],g=0,m=0;m<i;m++){var y=h[p*i+m];v.push(y),g+=y*s[m]}if(g<0||g>=r/o)throw new Error("Invalid indices: "+v+" does not index into "+n);for(var x=0;x<o;x++)c?d.values[g*o+x]+=f[p*o+x]:d.values[g*o+x]=0===e.rank?f[0]:f[p*o+x]}return d.toTensor().reshape(n)},o}(la);function yf(t,e){return{kernelName:t,backendName:"cpu",kernelFunc:function(n){var r=n.inputs,o=n.backend,a=r,i=a.a,s=a.b,u=o;df([i,s],t);var c=u.data.get(i.dataId).values,l=u.data.get(s.dataId).values,h=e(i.shape,s.shape,c,l,i.dtype),f=h[0],d=h[1];return{dataId:u.write(f,d,i.dtype),shape:d,dtype:i.dtype}}}}function xf(t){return function(e,n,r,o,a){var i=Pr(e,n),s=i.length,u=$(i),c=B(a,k(i)),l=e.length,h=n.length,f=$(e),d=$(n),p=Mr(e,i),v=Mr(n,i);if(p.length+v.length===0)for(var g=0;g<c.length;++g)c[g]=t(r[g%r.length],o[g%o.length]);else{var m=function(e){var n=it(e,s,u),a=n.slice(-l);p.forEach((function(t){return a[t]=0}));var i=at(a,l,f),g=n.slice(-h);v.forEach((function(t){return g[t]=0}));var m=at(g,h,d);c[e]=t(r[i],o[m])};for(g=0;g<c.length;++g)m(g)}return[c,i]}}Lt.registerBackend("cpu",(function(){return new mf}),1);var bf=xf((function(t,e){return t/e})),wf=yf(wr,bf);var Cf={kernelName:"MaxPoolWithArgmax",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n,i=a.filterSize,s=a.strides,u=a.pad,c=a.includeBatchInIndex,l=r;df(o,"MaxPoolWithArgmax");var h=l.data.get(o.dataId).values,f=fa(o.shape,i,s,[1,1],u),d=function(t,e,n,r,o){var a=pf(t,0,n,$(e),o,"max"),i=vf(t,e,n,o,!0,r);return[a.values,i.values]}(h,o.shape,o.dtype,c,f),p=d[0],v=d[1],g=l.write(p,f.outShape,o.dtype),m=l.write(v,f.outShape,o.dtype);return[{dataId:g,shape:f.outShape,dtype:o.dtype},{dataId:m,shape:f.outShape,dtype:"int32"}]}},Ef={kernelName:"NonMaxSuppressionV5",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,o=e,a=o.boxes,i=o.scores,s=r,u=s.maxOutputSize,c=s.iouThreshold,l=s.scoreThreshold,h=s.softNmsSigma,f=n;df(a,"NonMaxSuppressionWithScore");var d=Ma(f.data.get(a.dataId).values,f.data.get(i.dataId).values,u,c,l,h);return[d.selectedIndices,d.selectedScores]}},Rf={kernelName:"Square",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n;df(r,"square");for(var a=o.data.get(r.dataId).values,i=new Float32Array(a.length),s=0;s<a.length;++s){var u=a[s];i[s]=u*u}return{dataId:o.write(i,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}},If=xf((function(t,e){var n=t-e;return n*n}));function kf(t,e,n,r,o){for(var a=k(e),i=e.length,s=$(e),u=$(o),c=B(n,k(o)),l=0;l<a;++l){for(var h=it(l,i,s),f=new Array(h.length),d=0;d<f.length;d++)f[d]=h[r[d]];c[at(f,i,u)]=t[l]}return c}for(var Sf=0,Af=[Ef,Rf,yf(Er,If),wf,{kernelName:"Transpose",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.attrs,r=t.backend,o=e.x,a=n.perm,i=r;df(o,"transpose");for(var s=o.shape.length,u=new Array(s),c=0;c<u.length;c++)u[c]=o.shape[a[c]];var l=kf(i.data.get(o.dataId).values,o.shape,o.dtype,a,u);return{dataId:i.write(l,u,o.dtype),shape:u,dtype:o.dtype}}},Cf];Sf<Af.length;Sf++){d(Af[Sf])}var Tf,Df=function(t){this.variableNames=["A"];var e=Ya(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+e.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},Nf=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=Ya(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+e.output+" = result;\n      }\n    "};var Ff=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var o=ui(this.rank),a=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),o=0;o<t.length;o++)r[t[o]]=n[o];return r.join()}(e);this.userCode="\n    void main() {\n      "+o+" resRC = getOutputCoords();\n      setOutput(getA("+a+"));\n    }\n    "};var _f=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var o=ui(this.rank),a=ja("rc",this.rank),i=new Array(this.rank);for(r=0;r<e.length;r++)i[e[r]]=a[r];var s="vec2("+i.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+i.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+o+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "};for(var Of=0,Mf=[{kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs,o=e.pixels,a=r.numChannels,s="undefined"!=typeof HTMLVideoElement&&o instanceof HTMLVideoElement,u="undefined"!=typeof HTMLImageElement&&o instanceof HTMLImageElement,c=s?[o.videoWidth,o.videoHeight]:[o.width,o.height],l=c[0],h=c[1],f=[h,l],d=[h,l,a];(u||s)&&(null==Tf&&(Tf=document.createElement("canvas").getContext("2d")),Tf.canvas.width=l,Tf.canvas.height=h,Tf.drawImage(o,0,0,l,h),o=Tf.canvas);var p=n.makeTensorInfo(f,"int32");n.texData.get(p.dataId).usage=zt.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(p.dataId),o);var v=i().getBool("WEBGL_PACK")?new Nf(d):new Df(d),g=n.runWebGLProgram(v,[p],"int32");return n.disposeData(p.dataId),g}},{kernelName:wr,backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e;return function(t,e,n){var r=new Ri(Ci,t.shape,e.shape);return i().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&(r=new Si(Ii,t.shape,e.shape,!0)),n.runWebGLProgram(r,[t,e],"float32")}(r.a,r.b,n)}},{kernelName:"NonMaxSuppressionV5",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=t.attrs;dn("tf.nonMaxSuppression() in webgl locks the UI thread. 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missing.");if(e.weightSpecs=o,null!=(a=this.LS.getItem(this.keys.modelMetadata))&&(i=JSON.parse(a),e.format=i.format,e.generatedBy=i.generatedBy,e.convertedBy=i.convertedBy,e.userDefinedMetadata=i.userDefinedMetadata),null==(s=this.LS.getItem(this.keys.weightData)))throw new Error("In local storage, the binary weight values of model '"+this.modelPath+"' are missing.");return e.weightData=function(t){if(Kf){var e=Buffer.from(t,"base64");return e.buffer.slice(e.byteOffset,e.byteOffset+e.byteLength)}for(var n=atob(t),r=new Uint8Array(n.length),o=0;o<n.length;++o)r.set([n.charCodeAt(o)],o);return r.buffer}(s),[2,e]}))}))},t.URL_SCHEME="localstorage://",t}(),xd=function(t){return i().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(yd.URL_SCHEME)?(e=t.slice(yd.URL_SCHEME.length),new yd(e)):null;var e};Qf.registerSaveRouter(xd),Qf.registerLoadRouter(xd);var bd=function(){function t(){C(i().getBool("IS_BROWSER"),(function(){return"Current environment is not a web 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bd)}catch(t){}var wd="model",Cd=".json",Ed=".weights.bin";function Rd(t){return new Promise((function(t){return setTimeout(t)})).then(t)}var Id=function(){function t(e){if(!i().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(t.URL_SCHEME)&&(e=e.slice(t.URL_SCHEME.length)),null!=e&&0!==e.length||(e=wd),this.modelTopologyFileName=e+Cd,this.weightDataFileName=e+Ed}return t.prototype.save=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,i,s;return r(this,(function(r){switch(r.label){case 0:if("undefined"==typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not present");if(e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer))return[3,1];throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 1:return n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],o={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},a=window.URL.createObjectURL(new Blob([JSON.stringify(o)],{type:"application/json"})),(i=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,i.href=a,[4,Rd((function(){return i.dispatchEvent(new MouseEvent("click"))}))];case 2:return r.sent(),null==t.weightData?[3,4]:((s=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,s.href=e,[4,Rd((function(){return s.dispatchEvent(new MouseEvent("click"))}))]);case 3:r.sent(),r.label=4;case 4:return[2,{modelArtifactsInfo:$f(t)}]}}))}))},t.URL_SCHEME="downloads://",t}(),kd=function(){function t(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}return t.prototype.load=function(){return n(this,void 0,void 0,(function(){var t,e,n=this;return r(this,(function(r){return t=this.files[0],e=this.files.slice(1),[2,new Promise((function(r,o){var a=new FileReader;a.onload=function(a){var i=JSON.parse(a.target.result),s=i.modelTopology;if(null!=s){0===e.length&&r({modelTopology:s});var u=i.weightsManifest;if(null!=u){var c;try{c=n.checkManifestAndWeightFiles(u,e)}catch(t){return void o(t)}var l=[],h=[],f=[];u.forEach((function(t){t.paths.forEach((function(t){h.push(t),f.push(null)})),l.push.apply(l,t.weights)})),u.forEach((function(t){t.paths.forEach((function(t){var e=new FileReader;e.onload=function(e){var n=e.target.result,o=h.indexOf(t);f[o]=n,-1===f.indexOf(null)&&r({modelTopology:s,weightSpecs:l,weightData:Xf(f),format:i.format,generatedBy:i.generatedBy,convertedBy:i.convertedBy,userDefinedMetadata:i.userDefinedMetadata})},e.onerror=function(e){return o("Failed to weights data from file of path 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BrowserFiles supports loading Keras-style tf.Model artifacts only.")},a.readAsText(t)}))]}))}))},t.prototype.checkManifestAndWeightFiles=function(t,e){for(var n=[],r=e.map((function(t){return Yf(t.name)})),o={},a=0,i=t;a<i.length;a++){i[a].paths.forEach((function(t){var a=Yf(t);if(-1!==n.indexOf(a))throw new Error("Duplicate file basename found in weights manifest: '"+a+"'");if(n.push(a),-1===r.indexOf(a))throw new Error("Weight file with basename '"+a+"' is not provided.");o[t]=e[r.indexOf(a)]}))}if(n.length!==e.length)throw new Error("Mismatch in the number of files in weights manifest ("+n.length+") and the number of weight files provided ("+e.length+").");return o},t}();function Sd(t,e,n,r){!function(t){C(null!=t&&Array.isArray(t)&&t.length>0,(function(){return"promises must be a none empty array"}))}(t),function(t,e){C(t>=0&&t<=1,(function(){return"Progress fraction must be in range [0, 1], but got startFraction "+t})),C(e>=0&&e<=1,(function(){return"Progress fraction must be in 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e=this;return function(o,a,i){return void 0===a&&(a=""),n(e,void 0,void 0,(function(){var e,n,s,u,c,l,h,f,d,p;return r(this,(function(r){switch(r.label){case 0:if(e=o.map((function(){return!1})),n={},s=null!=i?i.map((function(){return!1})):[],u=[],o.forEach((function(t,r){var o=0;t.weights.forEach((function(t){var a="quantization"in t?t.quantization.dtype:t.dtype,c=zf[a]*k(t.shape),l=function(){e[r]=!0,null==n[r]&&(n[r]=[]),n[r].push({manifestEntry:t,groupOffset:o,sizeBytes:c})};null!=i?i.forEach((function(e,n){e===t.name&&(l(),s[n]=!0)})):l(),u.push(t.name),o+=c}))})),!s.every((function(t){return t})))throw c=i.filter((function(t,e){return!s[e]})),new Error("Could not find weights in manifest with names: "+c.join(", ")+". \nManifest JSON has weights with names: "+u.join(", ")+".");return l=e.reduce((function(t,e,n){return e&&t.push(n),t}),[]),h=[],l.forEach((function(t){o[t].paths.forEach((function(t){var e=a+(a.endsWith("/")?"":"/")+t;h.push(e)}))})),[4,t(h)];case 1:return f=r.sent(),d={},p=0,l.forEach((function(t){for(var e=o[t].paths.length,r=0,a=0;a<e;a++)r+=f[p+a].byteLength;for(var i=new ArrayBuffer(r),s=new Uint8Array(i),u=0,c=0;c<e;c++){var l=new Uint8Array(f[p+c]);s.set(l,u),u+=l.byteLength}n[t].forEach((function(t){var e=Hf(i.slice(t.groupOffset,t.groupOffset+t.sizeBytes),[t.manifestEntry]);for(var n in e)d[n]=e[n]})),p+=e})),[2,d]}}))}))}}Qf.registerSaveRouter((function(t){return i().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(Id.URL_SCHEME)?function(t){void 0===t&&(t="model");return new Id(t)}(t.slice(Id.URL_SCHEME.length)):null}));var Dd=function(){function t(t,e){if(this.DEFAULT_METHOD="POST",null==e&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,null!=e.fetchFunc?(C("function"==typeof e.fetchFunc,(function(){return"Must pass a function that matches the signature of `fetch` (see 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FormData,n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],o={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata,weightsManifest:n},e.body.append("model.json",new Blob([JSON.stringify(o)],{type:"application/json"}),"model.json"),null!=t.weightData&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:"application/octet-stream"}),"model.weights.bin"),[4,this.fetch(this.path,e)];case 1:if((a=r.sent()).ok)return[2,{modelArtifactsInfo:$f(t),responses:[a]}];throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+a.status+".")}}))}))},t.prototype.load=function(){return n(this,void 0,void 0,(function(){var t,e,n,o,a,i,s,u,c,l,h,f;return r(this,(function(r){switch(r.label){case 0:return[4,this.fetch(this.path,this.requestInit)];case 1:if(!(t=r.sent()).ok)throw new Error("Request to "+this.path+" failed with status code "+t.status+". Please verify this URL points to the model JSON of the model to load.");r.label=2;case 2:return r.trys.push([2,4,,5]),[4,t.json()];case 3:return e=r.sent(),[3,5];case 4:throw r.sent(),n="Failed to parse model JSON of response from "+this.path+".",this.path.endsWith(".pb")?n+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":n+=" Please make sure the server is serving valid JSON for this request.",new Error(n);case 5:if(o=e.modelTopology,a=e.weightsManifest,i=e.generatedBy,s=e.convertedBy,u=e.format,c=e.userDefinedMetadata,null==o&&null==a)throw new Error("The JSON from HTTP path "+this.path+" contains neither model topology or manifest for weights.");return null==a?[3,7]:[4,this.loadWeights(a)];case 6:f=r.sent(),l=f[0],h=f[1],r.label=7;case 7:return[2,{modelTopology:o,weightSpecs:l,weightData:h,userDefinedMetadata:c,generatedBy:i,convertedBy:s,format:u}]}}))}))},t.prototype.loadWeights=function(t){return n(this,void 0,void 0,(function(){var e,n,o,a,i,s,u,c,l,h,f;return r(this,(function(r){switch(r.label){case 0:for(e=Array.isArray(this.path)?this.path[1]:this.path,n=function(t){var e=t.lastIndexOf("/"),n=t.lastIndexOf("?"),r=t.substring(0,e),o=n>e?t.substring(n):"";return[r+"/",o]}(e),o=n[0],a=n[1],i=this.weightPathPrefix||o,s=[],u=0,c=t;u<c.length;u++)l=c[u],s.push.apply(s,l.weights);return h=[],t.forEach((function(t){t.paths.forEach((function(t){h.push(i+t+a)}))})),[4,Ad(h,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress})];case 1:return f=r.sent(),[2,[s,Xf(f)]]}}))}))},t.URL_SCHEME_REGEX=/^https?:\/\//,t}();function Nd(t){return null!=t.match(Dd.URL_SCHEME_REGEX)}var Fd=function(t,e){if("undefined"==typeof fetch)return null;return(Array.isArray(t)?t.every((function(t){return Nd(t)})):Nd(t))?_d(t,{onProgress:e}):null};function _d(t,e){return new Dd(t,e)}Qf.registerSaveRouter(Fd),Qf.registerLoadRouter(Fd);var Od=function(){function t(t){this.modelArtifacts=t}return t.prototype.load=function(){return n(this,void 0,void 0,(function(){return r(this,(function(t){return[2,this.modelArtifacts]}))}))},t}(),Md=function(){function t(t){this.saveHandler=t}return t.prototype.save=function(t){return n(this,void 0,void 0,(function(){return r(this,(function(e){return[2,this.saveHandler(t)]}))}))},t}();var Bd=Object.freeze({browserFiles:function(t){return new kd(t)},browserHTTPRequest:function(t,e){return _d(t,e)},concatenateArrayBuffers:Xf,decodeWeights:Hf,encodeWeights:function(t,e){return n(this,void 0,void 0,(function(){var o,a,i,s,u,c=this;return r(this,(function(l){switch(l.label){case 0:for(o=[],a=[],i=Array.isArray(t)?t.map((function(t){return t.name})):Object.keys(t),s=function(s){var u=i[s],l=Array.isArray(t)?t[s].tensor:t[u];if("float32"!==l.dtype&&"int32"!==l.dtype&&"bool"!==l.dtype&&"string"!==l.dtype)throw new Error("Unsupported dtype in weight '"+u+"': "+l.dtype);var h={name:u,shape:l.shape,dtype:l.dtype};if("string"===l.dtype){var f=new Promise((function(t){return n(c,void 0,void 0,(function(){var e,n,o,a,i,s,u;return r(this,(function(r){switch(r.label){case 0:return[4,l.bytes()];case 1:for(e=r.sent(),n=e.reduce((function(t,e){return t+e.length}),0)+Gf*e.length,o=new Uint8Array(n),a=0,i=0;i<e.length;i++)s=e[i],u=new Uint8Array(new Uint32Array([s.length]).buffer),o.set(u,a),a+=Gf,o.set(s,a),a+=s.length;return t(o),[2]}}))}))}));a.push(f)}else a.push(l.data());null!=e&&(h.group=e),o.push(h)},u=0;u<i.length;++u)s(u);return[4,Promise.all(a)];case 1:return[2,{data:qf(l.sent()),specs:o}]}}))}))},fromMemory:function(t,e,n,r){return 1===arguments.length?null!=t.modelTopology||null!=t.weightSpecs?new Od(t):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new Od({modelTopology:t})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. 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unsortedSegmentSum,fr as unstack,st as util,ea as valueAndGrad,na as valueAndGrads,Vn as variable,ra as variableGrads,Kd as version_core,jd as webgl,yc as where,xc as whereAsync,Gn as zeros,Xn as zerosLike};
 //# sourceMappingURL=tf-core.esm.js.map
diff --git a/node_modules/@tensorflow/tfjs-core/dist/tf-core.esm.js.map b/node_modules/@tensorflow/tfjs-core/dist/tf-core.esm.js.map
index 4edbbf27b..5bd56ec95 100644
--- a/node_modules/@tensorflow/tfjs-core/dist/tf-core.esm.js.map
+++ b/node_modules/@tensorflow/tfjs-core/dist/tf-core.esm.js.map
@@ -1 +1 @@
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* @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Platform} from './platforms/platform';\n\n// Expects flags from URL in the format ?tfjsflags=FLAG1:1,FLAG2:true.\nconst TENSORFLOWJS_FLAGS_PREFIX = 'tfjsflags';\n\ntype FlagValue = number|boolean;\nexport type Flags = {\n  [featureName: string]: FlagValue\n};\nexport type FlagRegistryEntry = {\n  evaluationFn: () => FlagValue;\n  setHook?: (value: FlagValue) => void;\n};\n\n/**\n * The environment contains evaluated flags as well as the registered platform.\n * This is always used as a global singleton and can be retrieved with\n * `tf.env()`.\n */\n/** @doc {heading: 'Environment'} */\nexport class Environment {\n  private flags: Flags = {};\n  private flagRegistry: {[flagName: string]: FlagRegistryEntry} = {};\n\n  private urlFlags: Flags = {};\n\n  platformName: string;\n  platform: Platform;\n\n  // tslint:disable-next-line: no-any\n  constructor(public global: any) {\n    this.populateURLFlags();\n  }\n\n  setPlatform(platformName: string, platform: Platform) {\n    if (this.platform != null) {\n      console.warn(\n          `Platform ${this.platformName} has already been set. ` +\n          `Overwriting the platform with ${platform}.`);\n    }\n    this.platformName = platformName;\n    this.platform = platform;\n  }\n\n  registerFlag(\n      flagName: string, evaluationFn: () => FlagValue,\n      setHook?: (value: FlagValue) => void) {\n    this.flagRegistry[flagName] = {evaluationFn, setHook};\n\n    // Override the flag value from the URL. This has to happen here because the\n    // environment is initialized before flags get registered.\n    if (this.urlFlags[flagName] != null) {\n      const flagValue = this.urlFlags[flagName];\n      console.warn(\n          `Setting feature override from URL ${flagName}: ${flagValue}.`);\n      this.set(flagName, flagValue);\n    }\n  }\n\n  get(flagName: string): FlagValue {\n    if (flagName in this.flags) {\n      return this.flags[flagName];\n    }\n\n    this.flags[flagName] = this.evaluateFlag(flagName);\n\n    return this.flags[flagName];\n  }\n\n  getNumber(flagName: string): number {\n    return this.get(flagName) as number;\n  }\n\n  getBool(flagName: string): boolean {\n    return this.get(flagName) as boolean;\n  }\n\n  getFlags(): Flags {\n    return this.flags;\n  }\n  // For backwards compatibility.\n  get features(): Flags {\n    return this.flags;\n  }\n\n  set(flagName: string, value: FlagValue): void {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot set flag ${flagName} as it has not been registered.`);\n    }\n    this.flags[flagName] = value;\n    if (this.flagRegistry[flagName].setHook != null) {\n      this.flagRegistry[flagName].setHook(value);\n    }\n  }\n\n  private evaluateFlag(flagName: string): FlagValue {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot evaluate flag '${flagName}': no evaluation function found.`);\n    }\n    return this.flagRegistry[flagName].evaluationFn();\n  }\n\n  setFlags(flags: Flags) {\n    this.flags = Object.assign({}, flags);\n  }\n\n  reset() {\n    this.flags = {};\n    this.urlFlags = {};\n    this.populateURLFlags();\n  }\n\n  private populateURLFlags(): void {\n    if (typeof this.global === 'undefined' ||\n        typeof this.global.location === 'undefined' ||\n        typeof this.global.location.search === 'undefined') {\n      return;\n    }\n\n    const urlParams = getQueryParams(this.global.location.search);\n    if (TENSORFLOWJS_FLAGS_PREFIX in urlParams) {\n      const keyValues = urlParams[TENSORFLOWJS_FLAGS_PREFIX].split(',');\n      keyValues.forEach(keyValue => {\n        const [key, value] = keyValue.split(':') as [string, string];\n        this.urlFlags[key] = parseValue(key, value);\n      });\n    }\n  }\n}\n\nexport function getQueryParams(queryString: string): {[key: string]: string} {\n  const params = {};\n  queryString.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (s, ...t) => {\n    decodeParam(params, t[0], t[1]);\n    return t.join('=');\n  });\n  return params;\n}\n\nfunction decodeParam(\n    params: {[key: string]: string}, name: string, value?: string) {\n  params[decodeURIComponent(name)] = decodeURIComponent(value || '');\n}\n\nfunction parseValue(flagName: string, value: string): FlagValue {\n  value = value.toLowerCase();\n  if (value === 'true' || value === 'false') {\n    return value === 'true';\n  } else if (`${+ value}` === value) {\n    return +value;\n  }\n  throw new Error(\n      `Could not parse value flag value ${value} for flag ${flagName}.`);\n}\n\n/**\n * Returns the current environment (a global singleton).\n *\n * The environment object contains the evaluated feature values as well as the\n * active platform.\n */\n/** @doc {heading: 'Environment'} */\nexport function env() {\n  return ENV;\n}\n\nexport let ENV: Environment = null;\nexport function setEnvironmentGlobal(environment: Environment) {\n  ENV = environment;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedGradientMap} from './tape';\nimport {Tensor} from './tensor';\nimport {DataType, RecursiveArray} from './types';\n\nconst kernelRegistry: Map<string, KernelConfig> = new Map();\nconst gradRegistry: Map<string, GradConfig> = new Map();\n\nexport type DataId = object;\n\ntype AttributeValue =\n    number|number[]|boolean|boolean[]|string|string[]|NamedAttrMap;\n\n/** These are extra non-tensor/primitive params passed to kernel functions. */\nexport type Attribute = AttributeValue|RecursiveArray<AttributeValue>;\n\n/** Specifies the code to run when executing a kernel. */\nexport type KernelFunc = (params: {\n  inputs: NamedTensorInfoMap,\n  backend: {},\n  attrs?: NamedAttrMap,\n}) => TensorInfo|TensorInfo[];\n\n/** The function to run when computing a gradient during backprop. */\nexport type GradFunc =\n    (dy: Tensor|Tensor[], saved: Tensor[], attrs: NamedAttrMap) =>\n        NamedGradientMap;\n\n/** Function that gets called after the backend initializes. */\nexport type KernelSetupFunc = (backend: {}) => void;\n/** Function that gets called right before the backend is disposed. */\nexport type KernelDisposeFunc = KernelSetupFunc;\n\n/** Config object for registering a kernel in the global registry. */\nexport interface KernelConfig {\n  kernelName: string;\n  backendName: string;\n  kernelFunc: KernelFunc;\n  setupFunc?: KernelSetupFunc;\n  disposeFunc?: KernelDisposeFunc;\n}\n\n/** Config object for registering a gradient in the global registry. */\nexport interface GradConfig {\n  kernelName: string;\n  inputsToSave?: string[];\n  // When saveAllInputs is true, all inputs will be saved. Only use this flag\n  // if inputs is an array of Tensors.\n  saveAllInputs?: boolean;\n  outputsToSave?: boolean[];\n  gradFunc: GradFunc;\n}\n\n/** Holds metadata for a given tensor. */\nexport interface TensorInfo {\n  dataId: DataId;\n  shape: number[];\n  dtype: DataType;\n}\n\nexport interface NamedTensorInfoMap {\n  [name: string]: TensorInfo;\n}\n\nexport interface NamedAttrMap {\n  [name: string]: Attribute;\n}\n\n/**\n * Returns the kernel function (code) associated with the provided names.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n */\nexport function getKernel(\n    kernelName: string, backendName: string): KernelConfig {\n  const key = makeKey(kernelName, backendName);\n  return kernelRegistry.get(key);\n}\n\n/**\n * Returns the registered gradient info associated with the provided kernel.\n * @param kernelName The official TF kernel name.\n */\nexport function getGradient(kernelName: string): GradConfig {\n  return gradRegistry.get(kernelName);\n}\n\nexport function getKernelsForBackend(backendName: string): KernelConfig[] {\n  const it = kernelRegistry.entries();\n  const result: KernelConfig[] = [];\n\n  while (true) {\n    const {done, value} = it.next();\n    if (done) {\n      break;\n    }\n    const [key, config] = value;\n    const [backend, ] = key.split('_');\n    if (backend === backendName) {\n      result.push(config);\n    }\n  }\n  return result;\n}\n\n/**\n * Registers the function (forward pass) for the kernel in a global registry.\n *\n * @param config A config object with the following properties:\n * - `kernelName` The official name of the kernel.\n * - `backendName` The official name of the backend.\n * - `kernelFunc` The function to run during the forward pass of the kernel.\n * - `setupFunc` Optional. Gets called once, after the backend initializes.\n * - `disposeFunc` Optional. Gets called once, right before the backend is\n * disposed.\n */\nexport function registerKernel(config: KernelConfig) {\n  const {kernelName, backendName} = config;\n  const key = makeKey(kernelName, backendName);\n  if (kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is already registered`);\n  }\n  kernelRegistry.set(key, config);\n}\n\n/**\n * Registers a gradient function for a given kernel in the global registry,\n * to be used during the back-propagation of that kernel.\n *\n * @param config An object with the following properties:\n * - `kernelName` The name of the kernel that the gradient function is for.\n * - `gradFunc` The function to run during back-propagation.\n */\nexport function registerGradient(config: GradConfig) {\n  const {kernelName} = config;\n  if (gradRegistry.has(kernelName)) {\n    console.warn(`Overriding the gradient for '${kernelName}'`);\n  }\n  gradRegistry.set(kernelName, config);\n}\n\n/**\n * Removes the kernel function from the registry.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n *\n */\nexport function unregisterKernel(\n    kernelName: string, backendName: string): void {\n  const key = makeKey(kernelName, backendName);\n  if (!kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is not registered`);\n  }\n  kernelRegistry.delete(key);\n}\n\n/** Removes the registered gradient from the global registry. */\nexport function unregisterGradient(kernelName: string): void {\n  if (!gradRegistry.has(kernelName)) {\n    throw new Error(\n        `The gradient '${kernelName}' for backend is not registered`);\n  }\n  gradRegistry.delete(kernelName);\n}\n\nfunction makeKey(kernelName: string, backendName: string) {\n  return `${backendName}_${kernelName}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nimport {DataType, DataTypeMap, FlatVector, NumericDataType, RecursiveArray, TensorLike, TypedArray} from './types';\n\n/**\n * Shuffles the array in-place using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1, 2, 3, 4, 5];\n * tf.util.shuffle(a);\n * console.log(a);\n * ```\n *\n * @param array The array to shuffle in-place.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\n// tslint:disable-next-line:no-any\nexport function shuffle(array: any[]|Uint32Array|Int32Array|\n                        Float32Array): void {\n  let counter = array.length;\n  let temp = 0;\n  let index = 0;\n  // While there are elements in the array\n  while (counter > 0) {\n    // Pick a random index\n    index = (Math.random() * counter) | 0;\n    // Decrease counter by 1\n    counter--;\n    // And swap the last element with it\n    temp = array[counter];\n    array[counter] = array[index];\n    array[index] = temp;\n  }\n}\n\n/** Clamps a value to a specified range. */\nexport function clamp(min: number, x: number, max: number): number {\n  return Math.max(min, Math.min(x, max));\n}\n\nexport function nearestLargerEven(val: number): number {\n  return val % 2 === 0 ? val : val + 1;\n}\n\nexport function sum(arr: number[]): number {\n  let sum = 0;\n  for (let i = 0; i < arr.length; i++) {\n    sum += arr[i];\n  }\n  return sum;\n}\n\n/**\n * Returns a sample from a uniform [a, b) distribution.\n *\n * @param a The minimum support (inclusive).\n * @param b The maximum support (exclusive).\n * @return A pseudorandom number on the half-open interval [a,b).\n */\nexport function randUniform(a: number, b: number) {\n  const r = Math.random();\n  return (b * r) + (1 - r) * a;\n}\n\n/** Returns the squared Euclidean distance between two vectors. */\nexport function distSquared(a: FlatVector, b: FlatVector): number {\n  let result = 0;\n  for (let i = 0; i < a.length; i++) {\n    const diff = Number(a[i]) - Number(b[i]);\n    result += diff * diff;\n  }\n  return result;\n}\n\n/**\n * Asserts that the expression is true. Otherwise throws an error with the\n * provided message.\n *\n * ```js\n * const x = 2;\n * tf.util.assert(x === 2, 'x is not 2');\n * ```\n *\n * @param expr The expression to assert (as a boolean).\n * @param msg A function that returns the message to report when throwing an\n *     error. We use a function for performance reasons.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function assert(expr: boolean, msg: () => string) {\n  if (!expr) {\n    throw new Error(typeof msg === 'string' ? msg : msg());\n  }\n}\n\nexport function assertShapesMatch(\n    shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n  assert(\n      arraysEqual(shapeA, shapeB),\n      () => errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n}\n\nexport function assertNonNull(a: TensorLike): void {\n  assert(\n      a != null,\n      () => `The input to the tensor constructor must be a non-null value.`);\n}\n\n// NOTE: We explicitly type out what T extends instead of any so that\n// util.flatten on a nested array of number doesn't try to infer T as a\n// number[][], causing us to explicitly type util.flatten<number>().\n/**\n *  Flattens an arbitrarily nested array.\n *\n * ```js\n * const a = [[1, 2], [3, 4], [5, [6, [7]]]];\n * const flat = tf.util.flatten(a);\n * console.log(flat);\n * ```\n *\n *  @param arr The nested array to flatten.\n *  @param result The destination array which holds the elements.\n *  @param skipTypedArray If true, avoids flattening the typed arrays. Defaults\n *      to false.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function\nflatten<T extends number|boolean|string|Promise<number>|TypedArray>(\n    arr: T|RecursiveArray<T>, result: T[] = [], skipTypedArray = false): T[] {\n  if (result == null) {\n    result = [];\n  }\n  if (Array.isArray(arr) || isTypedArray(arr) && !skipTypedArray) {\n    for (let i = 0; i < arr.length; ++i) {\n      flatten(arr[i], result, skipTypedArray);\n    }\n  } else {\n    result.push(arr as T);\n  }\n  return result;\n}\n\n/**\n * Returns the size (number of elements) of the tensor given its shape.\n *\n * ```js\n * const shape = [3, 4, 2];\n * const size = tf.util.sizeFromShape(shape);\n * console.log(size);\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function sizeFromShape(shape: number[]): number {\n  if (shape.length === 0) {\n    // Scalar.\n    return 1;\n  }\n  let size = shape[0];\n  for (let i = 1; i < shape.length; i++) {\n    size *= shape[i];\n  }\n  return size;\n}\n\nexport function isScalarShape(shape: number[]): boolean {\n  return shape.length === 0;\n}\n\nexport function arraysEqual(n1: FlatVector, n2: FlatVector) {\n  if (n1 === n2) {\n    return true;\n  }\n  if (n1 == null || n2 == null) {\n    return false;\n  }\n\n  if (n1.length !== n2.length) {\n    return false;\n  }\n  for (let i = 0; i < n1.length; i++) {\n    if (n1[i] !== n2[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function isInt(a: number): boolean {\n  return a % 1 === 0;\n}\n\nexport function tanh(x: number): number {\n  // tslint:disable-next-line:no-any\n  if ((Math as any).tanh != null) {\n    // tslint:disable-next-line:no-any\n    return (Math as any).tanh(x);\n  }\n  if (x === Infinity) {\n    return 1;\n  } else if (x === -Infinity) {\n    return -1;\n  } else {\n    const e2x = Math.exp(2 * x);\n    return (e2x - 1) / (e2x + 1);\n  }\n}\n\nexport function sizeToSquarishShape(size: number): [number, number] {\n  const width = Math.ceil(Math.sqrt(size));\n  return [width, Math.ceil(size / width)];\n}\n\n/**\n * Creates a new array with randomized indicies to a given quantity.\n *\n * ```js\n * const randomTen = tf.util.createShuffledIndices(10);\n * console.log(randomTen);\n * ```\n *\n * @param number Quantity of how many shuffled indicies to create.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function createShuffledIndices(n: number): Uint32Array {\n  const shuffledIndices = new Uint32Array(n);\n  for (let i = 0; i < n; ++i) {\n    shuffledIndices[i] = i;\n  }\n  shuffle(shuffledIndices);\n  return shuffledIndices;\n}\n\nexport function rightPad(a: string, size: number): string {\n  if (size <= a.length) {\n    return a;\n  }\n  return a + ' '.repeat(size - a.length);\n}\n\nexport function repeatedTry(\n    checkFn: () => boolean, delayFn = (counter: number) => 0,\n    maxCounter?: number): Promise<void> {\n  return new Promise<void>((resolve, reject) => {\n    let tryCount = 0;\n\n    const tryFn = () => {\n      if (checkFn()) {\n        resolve();\n        return;\n      }\n\n      tryCount++;\n\n      const nextBackoff = delayFn(tryCount);\n\n      if (maxCounter != null && tryCount >= maxCounter) {\n        reject();\n        return;\n      }\n      setTimeout(tryFn, nextBackoff);\n    };\n\n    tryFn();\n  });\n}\n\n/**\n * Given the full size of the array and a shape that may contain -1 as the\n * implicit dimension, returns the inferred shape where -1 is replaced.\n * E.g. For shape=[2, -1, 3] and size=24, it will return [2, 4, 3].\n *\n * @param shape The shape, which may contain -1 in some dimension.\n * @param size The full size (number of elements) of the array.\n * @return The inferred shape where -1 is replaced with the inferred size.\n */\nexport function inferFromImplicitShape(\n    shape: number[], size: number): number[] {\n  let shapeProd = 1;\n  let implicitIdx = -1;\n\n  for (let i = 0; i < shape.length; ++i) {\n    if (shape[i] >= 0) {\n      shapeProd *= shape[i];\n    } else if (shape[i] === -1) {\n      if (implicitIdx !== -1) {\n        throw Error(\n            `Shapes can only have 1 implicit size. ` +\n            `Found -1 at dim ${implicitIdx} and dim ${i}`);\n      }\n      implicitIdx = i;\n    } else if (shape[i] < 0) {\n      throw Error(`Shapes can not be < 0. Found ${shape[i]} at dim ${i}`);\n    }\n  }\n\n  if (implicitIdx === -1) {\n    if (size > 0 && size !== shapeProd) {\n      throw Error(`Size(${size}) must match the product of shape ${shape}`);\n    }\n    return shape;\n  }\n\n  if (shapeProd === 0) {\n    throw Error(\n        `Cannot infer the missing size in [${shape}] when ` +\n        `there are 0 elements`);\n  }\n  if (size % shapeProd !== 0) {\n    throw Error(\n        `The implicit shape can't be a fractional number. ` +\n        `Got ${size} / ${shapeProd}`);\n  }\n\n  const newShape = shape.slice();\n  newShape[implicitIdx] = size / shapeProd;\n  return newShape;\n}\n\nexport function parseAxisParam(\n    axis: number|number[], shape: number[]): number[] {\n  const rank = shape.length;\n\n  // Normalize input\n  axis = axis == null ? shape.map((s, i) => i) : [].concat(axis);\n\n  // Check for valid range\n  assert(\n      axis.every(ax => ax >= -rank && ax < rank),\n      () =>\n          `All values in axis param must be in range [-${rank}, ${rank}) but ` +\n          `got axis ${axis}`);\n\n  // Check for only integers\n  assert(\n      axis.every(ax => isInt(ax)),\n      () => `All values in axis param must be integers but ` +\n          `got axis ${axis}`);\n\n  // Handle negative axis.\n  return axis.map(a => a < 0 ? rank + a : a);\n}\n\n/** Reduces the shape by removing all dimensions of shape 1. */\nexport function squeezeShape(shape: number[], axis?: number[]):\n    {newShape: number[], keptDims: number[]} {\n  const newShape: number[] = [];\n  const keptDims: number[] = [];\n  const isEmptyArray = axis != null && Array.isArray(axis) && axis.length === 0;\n  const axes = (axis == null || isEmptyArray) ?\n      null :\n      parseAxisParam(axis, shape).sort();\n  let j = 0;\n  for (let i = 0; i < shape.length; ++i) {\n    if (axes != null) {\n      if (axes[j] === i && shape[i] !== 1) {\n        throw new Error(\n            `Can't squeeze axis ${i} since its dim '${shape[i]}' is not 1`);\n      }\n      if ((axes[j] == null || axes[j] > i) && shape[i] === 1) {\n        newShape.push(shape[i]);\n        keptDims.push(i);\n      }\n      if (axes[j] <= i) {\n        j++;\n      }\n    }\n    if (shape[i] !== 1) {\n      newShape.push(shape[i]);\n      keptDims.push(i);\n    }\n  }\n  return {newShape, keptDims};\n}\n\nexport function getTypedArrayFromDType<D extends NumericDataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function getArrayFromDType<D extends DataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else if (dtype === 'string') {\n    values = new Array<'string'>(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function checkConversionForErrors<D extends DataType>(\n    vals: DataTypeMap[D]|number[], dtype: D): void {\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      throw Error(`A tensor of type ${dtype} being uploaded contains ${num}.`);\n    }\n  }\n}\n\n/** Returns true if the dtype is valid. */\nexport function isValidDtype(dtype: DataType): boolean {\n  return dtype === 'bool' || dtype === 'complex64' || dtype === 'float32' ||\n      dtype === 'int32' || dtype === 'string';\n}\n\n/**\n * Returns true if the new type can't encode the old type without loss of\n * precision.\n */\nexport function hasEncodingLoss(oldType: DataType, newType: DataType): boolean {\n  if (newType === 'complex64') {\n    return false;\n  }\n  if (newType === 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'int32' && oldType !== 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'bool' && oldType === 'bool') {\n    return false;\n  }\n  return true;\n}\n\nexport function isTypedArray(a: {}): a is Float32Array|Int32Array|Uint8Array {\n  return a instanceof Float32Array || a instanceof Int32Array ||\n      a instanceof Uint8Array;\n}\n\nexport function bytesPerElement(dtype: DataType): number {\n  if (dtype === 'float32' || dtype === 'int32') {\n    return 4;\n  } else if (dtype === 'complex64') {\n    return 8;\n  } else if (dtype === 'bool') {\n    return 1;\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n\n/**\n * Returns the approximate number of bytes allocated in the string array - 2\n * bytes per character. Computing the exact bytes for a native string in JS is\n * not possible since it depends on the encoding of the html page that serves\n * the website.\n */\nexport function bytesFromStringArray(arr: Uint8Array[]): number {\n  if (arr == null) {\n    return 0;\n  }\n  let bytes = 0;\n  arr.forEach(x => bytes += x.length);\n  return bytes;\n}\n\n/** Returns true if the value is a string. */\nexport function isString(value: {}): value is string {\n  return typeof value === 'string' || value instanceof String;\n}\n\nexport function isBoolean(value: {}): boolean {\n  return typeof value === 'boolean';\n}\n\nexport function isNumber(value: {}): boolean {\n  return typeof value === 'number';\n}\n\nexport function inferDtype(values: TensorLike): DataType {\n  if (Array.isArray(values)) {\n    return inferDtype(values[0]);\n  }\n  if (values instanceof Float32Array) {\n    return 'float32';\n  } else if (values instanceof Int32Array || values instanceof Uint8Array) {\n    return 'int32';\n  } else if (isNumber(values)) {\n    return 'float32';\n  } else if (isString(values)) {\n    return 'string';\n  } else if (isBoolean(values)) {\n    return 'bool';\n  }\n  return 'float32';\n}\n\nexport function isFunction(f: Function) {\n  return !!(f && f.constructor && f.call && f.apply);\n}\n\nexport function nearestDivisor(size: number, start: number): number {\n  for (let i = start; i < size; ++i) {\n    if (size % i === 0) {\n      return i;\n    }\n  }\n  return size;\n}\n\nexport function computeStrides(shape: number[]): number[] {\n  const rank = shape.length;\n  if (rank < 2) {\n    return [];\n  }\n\n  // Last dimension has implicit stride of 1, thus having D-1 (instead of D)\n  // strides.\n  const strides = new Array(rank - 1);\n  strides[rank - 2] = shape[rank - 1];\n  for (let i = rank - 3; i >= 0; --i) {\n    strides[i] = strides[i + 1] * shape[i + 1];\n  }\n  return strides;\n}\n\nexport function toTypedArray(\n    a: TensorLike, dtype: DataType, debugMode: boolean): TypedArray {\n  if (dtype === 'string') {\n    throw new Error('Cannot convert a string[] to a TypedArray');\n  }\n  if (Array.isArray(a)) {\n    a = flatten(a);\n  }\n  if (debugMode) {\n    checkConversionForErrors(a as number[], dtype);\n  }\n  if (noConversionNeeded(a, dtype)) {\n    return a as TypedArray;\n  }\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(a as number[]);\n  } else if (dtype === 'int32') {\n    return new Int32Array(a as number[]);\n  } else if (dtype === 'bool') {\n    const bool = new Uint8Array((a as number[]).length);\n    for (let i = 0; i < bool.length; ++i) {\n      if (Math.round((a as number[])[i]) !== 0) {\n        bool[i] = 1;\n      }\n    }\n    return bool;\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\nfunction createNestedArray(offset: number, shape: number[], a: TypedArray) {\n  const ret = new Array();\n  if (shape.length === 1) {\n    const d = shape[0];\n    for (let i = 0; i < d; i++) {\n      ret[i] = a[offset + i];\n    }\n  } else {\n    const d = shape[0];\n    const rest = shape.slice(1);\n    const len = rest.reduce((acc, c) => acc * c);\n    for (let i = 0; i < d; i++) {\n      ret[i] = createNestedArray(offset + i * len, rest, a);\n    }\n  }\n  return ret;\n}\n\n// Provide a nested array of TypedArray in given shape.\nexport function toNestedArray(shape: number[], a: TypedArray) {\n  if (shape.length === 0) {\n    // Scalar type should return a single number.\n    return a[0];\n  }\n  const size = shape.reduce((acc, c) => acc * c);\n  if (size === 0) {\n    // A tensor with shape zero should be turned into empty list.\n    return [];\n  }\n  if (size !== a.length) {\n    throw new Error(`[${shape}] does not match the input size.`);\n  }\n\n  return createNestedArray(0, shape, a);\n}\n\nfunction noConversionNeeded(a: TensorLike, dtype: DataType): boolean {\n  return (a instanceof Float32Array && dtype === 'float32') ||\n      (a instanceof Int32Array && dtype === 'int32') ||\n      (a instanceof Uint8Array && dtype === 'bool');\n}\n\nexport function makeOnesTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  const array = makeZerosTypedArray(size, dtype);\n  for (let i = 0; i < array.length; i++) {\n    array[i] = 1;\n  }\n  return array;\n}\n\nexport function makeZerosTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'int32') {\n    return new Int32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'bool') {\n    return new Uint8Array(size) as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\n/**\n * Returns the current high-resolution time in milliseconds relative to an\n * arbitrary time in the past. It works across different platforms (node.js,\n * browsers).\n *\n * ```js\n * console.log(tf.util.now());\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function now(): number {\n  return env().platform.now();\n}\n\nexport function assertNonNegativeIntegerDimensions(shape: number[]) {\n  shape.forEach(dimSize => {\n    assert(\n        Number.isInteger(dimSize) && dimSize >= 0,\n        () =>\n            `Tensor must have a shape comprised of positive integers but got ` +\n            `shape [${shape}].`);\n  });\n}\n\n/**\n * Returns a platform-specific implementation of\n * [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n *\n * If `fetch` is defined on the global object (`window`, `process`, etc.),\n * `tf.util.fetch` returns that function.\n *\n * If not, `tf.util.fetch` returns a platform-specific solution.\n *\n * ```js\n * const resource = await tf.util.fetch('https://unpkg.com/@tensorflow/tfjs');\n * // handle response\n * ```\n */\n/** @doc {heading: 'Util'} */\nexport function fetch(\n    path: string, requestInits?: RequestInit): Promise<Response> {\n  return env().platform.fetch(path, requestInits);\n}\n\n/**\n * Encodes the provided string into bytes using the provided encoding scheme.\n *\n * @param s The string to encode.\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n */\n/** @doc {heading: 'Util'} */\nexport function encodeString(s: string, encoding = 'utf-8'): Uint8Array {\n  encoding = encoding || 'utf-8';\n  return env().platform.encode(s, encoding);\n}\n\n/**\n * Decodes the provided bytes into a string using the provided encoding scheme.\n * @param bytes The bytes to decode.\n *\n * @param encoding The encoding scheme. Defaults to utf-8.\n */\n/** @doc {heading: 'Util'} */\nexport function decodeString(bytes: Uint8Array, encoding = 'utf-8'): string {\n  encoding = encoding || 'utf-8';\n  return env().platform.decode(bytes, encoding);\n}\n\n/**\n * Computes flat index for a given location (multidimentionsal index) in a\n * Tensor/multidimensional array.\n *\n * @param locs Location in the tensor.\n * @param rank Rank of the tensor.\n * @param strides Tensor strides.\n */\nexport function locToIndex(\n    locs: number[], rank: number, strides: number[]): number {\n  if (rank === 0) {\n    return 0;\n  } else if (rank === 1) {\n    return locs[0];\n  }\n  let index = locs[locs.length - 1];\n  for (let i = 0; i < locs.length - 1; ++i) {\n    index += strides[i] * locs[i];\n  }\n  return index;\n}\n\n/**\n * Computes the location (multidimensional index) in a tensor/multidimentional\n * array for a given flat index.\n *\n * @param index Index in flat array.\n * @param rank Rank of tensor.\n * @param strides Strides of tensor.\n */\nexport function indexToLoc(\n    index: number, rank: number, strides: number[]): number[] {\n  if (rank === 0) {\n    return [];\n  } else if (rank === 1) {\n    return [index];\n  }\n  const locs: number[] = new Array(rank);\n  for (let i = 0; i < locs.length - 1; ++i) {\n    locs[i] = Math.floor(index / strides[i]);\n    index -= locs[i] * strides[i];\n  }\n  locs[locs.length - 1] = index;\n  return locs;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimer} from './backends/backend';\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {DataType, DataTypeMap, TypedArray} from './types';\nimport * as util from './util';\n\nexport class Profiler {\n  constructor(private backendTimer: BackendTimer, private logger?: Logger) {\n    if (logger == null) {\n      this.logger = new Logger();\n    }\n  }\n\n  profileKernel(kernelName: string, inputs: NamedTensorMap, f: () => Tensor[]):\n      Tensor[] {\n    let outputs: Tensor[];\n    const holdResultWrapperFn = () => {\n      outputs = f();\n    };\n    const timer = this.backendTimer.time(holdResultWrapperFn);\n\n    outputs.forEach(r => {\n      // Dangling promise here because we don't want to propagate up\n      // asynchronicity.\n      r.data().then(vals => {\n        checkComputationForErrors(vals, r.dtype, kernelName);\n\n        timer.then(timing => {\n          let extraInfo = '';\n          if (timing.getExtraProfileInfo != null) {\n            extraInfo = timing.getExtraProfileInfo();\n          }\n\n          this.logger.logKernelProfile(\n              kernelName, r, vals, timing.kernelMs, inputs, extraInfo);\n        });\n      });\n    });\n\n    return outputs;\n  }\n}\n\nexport function checkComputationForErrors<D extends DataType>(\n    vals: DataTypeMap[D], dtype: D, kernelName: string): boolean {\n  if (dtype !== 'float32') {\n    // Only floating point computations will generate NaN values\n    return false;\n  }\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      // Throwing custom exception so behavior is testable.\n      console.warn(`Found ${num} in the result of '${kernelName}'`);\n      return true;\n    }\n  }\n  return false;\n}\n\nexport class Logger {\n  logKernelProfile(\n      name: string, result: Tensor, vals: TypedArray,\n      timeMs: number|{error: string}, inputs: NamedTensorMap,\n      extraInfo?: string) {\n    const time = typeof timeMs === 'number' ? util.rightPad(`${timeMs}ms`, 9) :\n                                              timeMs['error'];\n    const paddedName = util.rightPad(name, 25);\n    const rank = result.rank;\n    const size = result.size;\n    const shape = util.rightPad(result.shape.toString(), 14);\n    let inputShapesDescription = '';\n\n    for (const name in inputs) {\n      const input = inputs[name];\n      // The input might be a non-tensor (e.g HTMLImageElement), in which case\n      // we claim the output shape as input shape.\n      const inputShape = input.shape || result.shape;\n      const inputRank = inputShape.length;\n      inputShapesDescription +=\n          `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;\n    }\n\n    console.log(\n        `%c${paddedName}\\t%c${time}\\t%c${rank}D ${shape}\\t%c${size}\\t%c${\n            inputShapesDescription}\\t%c${extraInfo}`,\n        'font-weight:bold', 'color:red', 'color:blue', 'color: orange',\n        'color: green', 'color: steelblue');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, TypedArray} from './types';\nimport {computeStrides, isString, rightPad, sizeFromShape} from './util';\n\n// Maximum number of values before we decide to show ellipsis.\nconst FORMAT_LIMIT_NUM_VALS = 20;\n// Number of first and last values to show when displaying a, b,...,y, z.\nconst FORMAT_NUM_FIRST_LAST_VALS = 3;\n// Number of significant digits to show.\nconst FORMAT_NUM_SIG_DIGITS = 7;\n\nexport function tensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    verbose: boolean) {\n  const strides = computeStrides(shape);\n  const padPerCol = computeMaxSizePerColumn(vals, shape, dtype, strides);\n  const rank = shape.length;\n  const valsLines = subTensorToString(vals, shape, dtype, strides, padPerCol);\n  const lines = ['Tensor'];\n  if (verbose) {\n    lines.push(`  dtype: ${dtype}`);\n    lines.push(`  rank: ${rank}`);\n    lines.push(`  shape: [${shape}]`);\n    lines.push(`  values:`);\n  }\n  lines.push(valsLines.map(l => '    ' + l).join('\\n'));\n  return lines.join('\\n');\n}\n\nfunction computeMaxSizePerColumn(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[]): number[] {\n  const n = sizeFromShape(shape);\n  const numCols = strides[strides.length - 1];\n  const padPerCol = new Array(numCols).fill(0);\n  const rank = shape.length;\n  const valuesOrTuples =\n      dtype === 'complex64' ? createComplexTuples(vals) : vals;\n\n  if (rank > 1) {\n    for (let row = 0; row < n / numCols; row++) {\n      const offset = row * numCols;\n      for (let j = 0; j < numCols; j++) {\n        padPerCol[j] = Math.max(\n            padPerCol[j],\n            valToString(valuesOrTuples[offset + j], 0, dtype).length);\n      }\n    }\n  }\n  return padPerCol;\n}\n\nfunction valToString(\n    val: number|string|[number, number], pad: number, dtype: DataType) {\n  let valStr: string;\n  if (Array.isArray(val)) {\n    valStr = `${parseFloat(val[0].toFixed(FORMAT_NUM_SIG_DIGITS))} + ` +\n        `${parseFloat(val[1].toFixed(FORMAT_NUM_SIG_DIGITS))}j`;\n  } else if (isString(val)) {\n    valStr = `'${val}'`;\n  } else if (dtype === 'bool') {\n    valStr = boolNumToString(val);\n  } else {\n    valStr = parseFloat(val.toFixed(FORMAT_NUM_SIG_DIGITS)).toString();\n  }\n\n  return rightPad(valStr, pad);\n}\n\nfunction boolNumToString(v: number): string {\n  return v === 0 ? 'false' : 'true';\n}\n\nfunction subTensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[], padPerCol: number[], isLast = true): string[] {\n  const storagePerElement = dtype === 'complex64' ? 2 : 1;\n\n  const size = shape[0];\n  const rank = shape.length;\n  if (rank === 0) {\n    if (dtype === 'complex64') {\n      const complexTuple = createComplexTuples(vals);\n      return [valToString(complexTuple[0], 0, dtype)];\n    }\n    if (dtype === 'bool') {\n      return [boolNumToString(vals[0] as number)];\n    }\n    return [vals[0].toString()];\n  }\n\n  if (rank === 1) {\n    if (size > FORMAT_LIMIT_NUM_VALS) {\n      const firstValsSize = FORMAT_NUM_FIRST_LAST_VALS * storagePerElement;\n\n      let firstVals = Array.from<number|string|[number, number]>(\n          vals.slice(0, firstValsSize));\n      let lastVals = Array.from<number|string|[number, number]>(vals.slice(\n          (size - FORMAT_NUM_FIRST_LAST_VALS) * storagePerElement,\n          size * storagePerElement));\n      if (dtype === 'complex64') {\n        firstVals = createComplexTuples(firstVals);\n        lastVals = createComplexTuples(lastVals);\n      }\n      return [\n        '[' +\n        firstVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n            .join(', ') +\n        ', ..., ' +\n        lastVals\n            .map(\n                (x, i) => valToString(\n                    x, padPerCol[size - FORMAT_NUM_FIRST_LAST_VALS + i], dtype))\n            .join(', ') +\n        ']'\n      ];\n    }\n    const displayVals: Array<number|string|[number, number]> =\n        dtype === 'complex64' ? createComplexTuples(vals) :\n                                Array.from<number|string>(vals);\n\n    return [\n      '[' +\n      displayVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n          .join(', ') +\n      ']'\n    ];\n  }\n\n  // The array is rank 2 or more.\n  const subshape = shape.slice(1);\n  const substrides = strides.slice(1);\n  const stride = strides[0] * storagePerElement;\n  const lines: string[] = [];\n  if (size > FORMAT_LIMIT_NUM_VALS) {\n    for (let i = 0; i < FORMAT_NUM_FIRST_LAST_VALS; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          false /* isLast */));\n    }\n    lines.push('...');\n    for (let i = size - FORMAT_NUM_FIRST_LAST_VALS; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  } else {\n    for (let i = 0; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  }\n  const sep = rank === 2 ? ',' : '';\n  lines[0] = '[' + lines[0] + sep;\n  for (let i = 1; i < lines.length - 1; i++) {\n    lines[i] = ' ' + lines[i] + sep;\n  }\n  let newLineSep = ',\\n';\n  for (let i = 2; i < rank; i++) {\n    newLineSep += '\\n';\n  }\n  lines[lines.length - 1] =\n      ' ' + lines[lines.length - 1] + ']' + (isLast ? '' : newLineSep);\n  return lines;\n}\n\nfunction createComplexTuples(vals: Array<{}>|\n                             TypedArray): Array<[number, number]> {\n  const complexTuples: Array<[number, number]> = [];\n  for (let i = 0; i < vals.length; i += 2) {\n    complexTuples.push([vals[i], vals[i + 1]] as [number, number]);\n  }\n  return complexTuples;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensorToString} from './tensor_format';\nimport {ArrayMap, BackendValues, DataType, DataTypeMap, DataValues, NumericDataType, Rank, ShapeMap, SingleValueMap, TensorLike, TensorLike1D, TensorLike3D, TensorLike4D, TypedArray} from './types';\nimport * as util from './util';\nimport {computeStrides, toNestedArray} from './util';\n\nexport interface TensorData<D extends DataType> {\n  dataId?: DataId;\n  values?: DataTypeMap[D];\n}\n\n// This interface mimics KernelBackend (in backend.ts), which would create a\n// circular dependency if imported.\nexport interface Backend {}\n\n/**\n * A mutable object, similar to `tf.Tensor`, that allows users to set values\n * at locations before converting to an immutable `tf.Tensor`.\n *\n * See `tf.buffer` for creating a tensor buffer.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class TensorBuffer<R extends Rank, D extends DataType = 'float32'> {\n  size: number;\n  shape: ShapeMap[R];\n  strides: number[];\n  values: DataTypeMap[D];\n\n  constructor(shape: ShapeMap[R], public dtype: D, values?: DataTypeMap[D]) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.size = util.sizeFromShape(shape);\n\n    if (values != null) {\n      const n = values.length;\n      util.assert(\n          n === this.size,\n          () => `Length of values '${n}' does not match the size ` +\n              `inferred by the shape '${this.size}'.`);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `complex64 dtype TensorBuffers are not supported. Please create ` +\n          `a TensorBuffer for the real and imaginary parts separately and ` +\n          `call tf.complex(real, imag).`);\n    }\n    this.values = values || util.getArrayFromDType(dtype, this.size);\n    this.strides = computeStrides(shape);\n  }\n\n  /**\n   * Sets a value in the buffer at a given location.\n   *\n   * @param value The value to set.\n   * @param locs  The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  set(value: SingleValueMap[D], ...locs: number[]): void {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    util.assert(\n        locs.length === this.rank,\n        () => `The number of provided coordinates (${locs.length}) must ` +\n            `match the rank (${this.rank})`);\n\n    const index = this.locToIndex(locs);\n    this.values[index] = value as number;\n  }\n\n  /**\n   * Returns the value in the buffer at the provided location.\n   *\n   * @param locs The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  get(...locs: number[]): SingleValueMap[D] {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    let i = 0;\n    for (const loc of locs) {\n      if (loc < 0 || loc >= this.shape[i]) {\n        const msg = `Requested out of range element at ${locs}. ` +\n            `  Buffer shape=${this.shape}`;\n        throw new Error(msg);\n      }\n      i++;\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return this.values[index] as SingleValueMap[D];\n  }\n\n  locToIndex(locs: number[]): number {\n    if (this.rank === 0) {\n      return 0;\n    } else if (this.rank === 1) {\n      return locs[0];\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return index;\n  }\n\n  indexToLoc(index: number): number[] {\n    if (this.rank === 0) {\n      return [];\n    } else if (this.rank === 1) {\n      return [index];\n    }\n    const locs: number[] = new Array(this.shape.length);\n    for (let i = 0; i < locs.length - 1; ++i) {\n      locs[i] = Math.floor(index / this.strides[i]);\n      index -= locs[i] * this.strides[i];\n    }\n    locs[locs.length - 1] = index;\n    return locs;\n  }\n\n  get rank() {\n    return this.shape.length;\n  }\n\n  /**\n   * Creates an immutable `tf.Tensor` object from the buffer.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  toTensor(): Tensor<R> {\n    return trackerFn().makeTensor(this.values, this.shape, this.dtype) as\n        Tensor<R>;\n  }\n}\n\nexport interface TensorTracker {\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: Backend): Tensor;\n  makeVariable(\n      initialValue: Tensor, trainable?: boolean, name?: string,\n      dtype?: DataType): Variable;\n  incRef(a: Tensor, backend: Backend): void;\n  disposeTensor(t: Tensor): void;\n  disposeVariable(v: Variable): void;\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n}\n\n/**\n * The Tensor class calls into this handler to delegate chaining operations.\n */\nexport interface OpHandler {\n  cast<T extends Tensor>(x: T, dtype: DataType): T;\n  buffer<R extends Rank, D extends DataType>(\n      shape: ShapeMap[R], dtype: D,\n      values?: DataTypeMap[D]): TensorBuffer<R, D>;\n  print<T extends Tensor>(x: T, verbose: boolean): void;\n  reshape<R2 extends Rank>(x: Tensor, shape: ShapeMap[R2]): Tensor<R2>;\n  expandDims<R2 extends Rank>(x: Tensor, axis: number): Tensor<R2>;\n  cumsum<T extends Tensor>(\n      x: Tensor, axis: number, exclusive: boolean, reverse: boolean): T;\n  squeeze<T extends Tensor>(x: Tensor, axis?: number[]): T;\n  clone<T extends Tensor>(x: T): T;\n  gather<T extends Tensor>(x: T, indices: Tensor|TensorLike, axis: number): T;\n  matMul<T extends Tensor>(\n      a: T, b: T|TensorLike, transposeA: boolean, transposeB: boolean): T;\n  dot(t1: Tensor, t2: Tensor|TensorLike): Tensor;\n  norm(\n      x: Tensor, ord: number|'euclidean'|'fro', axis: number|number[],\n      keepDims: boolean): Tensor;\n  slice<R extends Rank, T extends Tensor<R>>(\n      x: T, begin: number|number[], size?: number|number[]): T;\n  split<T extends Tensor>(\n      x: T, numOrSizeSplits: number[]|number, axis?: number): T[];\n  reverse<T extends Tensor>(x: T, axis?: number|number[]): T;\n  concat<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): T;\n  stack<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): Tensor;\n  unstack<T extends Tensor>(value: T, axis: number): Tensor[];\n  all<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  any<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  logSumExp<T extends Tensor>(\n      x: Tensor, axis: number|number[], keepDims: boolean): T;\n  sum<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  prod<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  mean<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  min<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  max<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  argMin<T extends Tensor>(x: Tensor, axis: number): T;\n  argMax<T extends Tensor>(x: Tensor, axis: number): T;\n  addStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  atan2<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  sub<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  subStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  pow<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  powStrict<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  mul<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  mulStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  floorDiv<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  divStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  mod<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  modStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  minimum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  minimumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  maximum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  maximumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  squaredDifferenceStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  logicalNot<T extends Tensor>(x: T): T;\n  logicalAnd<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalOr<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalXor<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  where<T extends Tensor>(condition: Tensor|TensorLike, a: T, b: T|TensorLike):\n      T;\n  notEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  notEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  less<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  equal<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  equalStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  lessEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greater<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greaterEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  neg<T extends Tensor>(x: T): T;\n  ceil<T extends Tensor>(x: T): T;\n  floor<T extends Tensor>(x: T): T;\n  sign<T extends Tensor>(x: T): T;\n  isNaN<T extends Tensor>(x: T): T;\n  isInf<T extends Tensor>(x: T): T;\n  isFinite<T extends Tensor>(x: T): T;\n  round<T extends Tensor>(x: T): T;\n  exp<T extends Tensor>(x: T): T;\n  expm1<T extends Tensor>(x: T): T;\n  log<T extends Tensor>(x: T): T;\n  log1p<T extends Tensor>(x: T): T;\n  sqrt<T extends Tensor>(x: T): T;\n  rsqrt<T extends Tensor>(x: T): T;\n  square<T extends Tensor>(x: T): T;\n  reciprocal<T extends Tensor>(x: T): T;\n  abs<T extends Tensor>(x: T): T;\n  clipByValue<T extends Tensor>(\n      x: T, clipValueMin: number, clipValueMax: number): T;\n  sigmoid<T extends Tensor>(x: T): T;\n  logSigmoid<T extends Tensor>(x: T): T;\n  softplus<T extends Tensor>(x: T): T;\n  zerosLike<T extends Tensor>(x: T): T;\n  onesLike<T extends Tensor>(x: T): T;\n  sin<T extends Tensor>(x: T): T;\n  cos<T extends Tensor>(x: T): T;\n  tan<T extends Tensor>(x: T): T;\n  asin<T extends Tensor>(x: T): T;\n  acos<T extends Tensor>(x: T): T;\n  atan<T extends Tensor>(x: T): T;\n  sinh<T extends Tensor>(x: T): T;\n  cosh<T extends Tensor>(x: T): T;\n  tanh<T extends Tensor>(x: T): T;\n  asinh<T extends Tensor>(x: T): T;\n  acosh<T extends Tensor>(x: T): T;\n  atanh<T extends Tensor>(x: T): T;\n  erf<T extends Tensor>(x: T): T;\n  step<T extends Tensor>(x: T, alpha: number): T;\n  relu<T extends Tensor>(x: T): T;\n  relu6<T extends Tensor>(x: T): T;\n  elu<T extends Tensor>(x: T): T;\n  selu<T extends Tensor>(x: T): T;\n  leakyRelu<T extends Tensor>(x: T, alpha: number): T;\n  prelu<T extends Tensor>(x: T, alpha: T|TensorLike): T;\n  softmax<T extends Tensor>(logits: T, dim: number): T;\n  logSoftmax<T extends Tensor>(logits: T, axis: number): T;\n  image: {\n    resizeBilinear<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n    resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n  };\n  conv1d<T extends Tensor2D|Tensor3D>(\n      x: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW', dilation: number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  depthwiseConv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number,\n      dataFormat: 'NHWC'|'NCHW'): T;\n  maxPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  avgPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  pool<T extends Tensor3D|Tensor4D>(\n      input: T, windowShape: [number, number]|number, poolingType: 'avg'|'max',\n      padding: 'valid'|'same'|number, diationRate?: [number, number]|number,\n      strides?: [number, number]|number): T;\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      x: T, depthRadius: number, bias: number, alpha: number, beta: number): T;\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T;\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T;\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T;\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean):\n      {values: T, indices: T};\n  stridedSlice(\n      x: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask: number, endMask: number, ellipsisMask: number,\n      newAxisMask: number, shrinkAxisMask: number): Tensor;\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D;\n  spectral: {\n    fft(x: Tensor): Tensor; ifft(x: Tensor): Tensor; rfft(x: Tensor): Tensor;\n    irfft(x: Tensor): Tensor\n  };\n}\n\n// For tracking tensor creation and disposal.\nlet trackerFn: () => TensorTracker = null;\n// Used by chaining methods to call into ops.\nlet opHandler: OpHandler = null;\n// Used to warn about deprecated methods.\nlet deprecationWarningFn: (msg: string) => void = null;\n// This here so that we can use this method on dev branches and keep the\n// functionality at master.\n// tslint:disable-next-line:no-unused-expression\n[deprecationWarningFn];\n\n/**\n * An external consumer can register itself as the tensor tracker. This way\n * the Tensor class can notify the tracker for every tensor created and\n * disposed.\n */\nexport function setTensorTracker(fn: () => TensorTracker) {\n  trackerFn = fn;\n}\n\n/**\n * An external consumer can register itself as the op handler. This way the\n * Tensor class can have chaining methods that call into ops via the op\n * handler.\n */\nexport function setOpHandler(handler: OpHandler) {\n  opHandler = handler;\n}\n\n/**\n * Sets the deprecation warning function to be used by this file. This way the\n * Tensor class can be a leaf but still use the environment.\n */\nexport function setDeprecationWarningFn(fn: (msg: string) => void) {\n  deprecationWarningFn = fn;\n}\n\n/**\n * We wrap data id since we use weak map to avoid memory leaks.\n * Since we have our own memory management, we have a reference counter\n * mapping a tensor to its data, so there is always a pointer (even if that\n * data is otherwise garbage collectable).\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/\n * Global_Objects/WeakMap\n */\nexport type DataId = object;  // object instead of {} to force non-primitive.\n\n// Declare this namespace to make Tensor class augmentation work in google3.\nexport declare namespace Tensor {}\n/**\n * A `tf.Tensor` object represents an immutable, multidimensional array of\n * numbers that has a shape and a data type.\n *\n * See `tf.tensor` for details on how to create a `tf.Tensor`.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Tensor<R extends Rank = Rank> {\n  /** Unique id of this tensor. */\n  readonly id: number;\n  /**\n   * Id of the bucket holding the data for this tensor. Multiple arrays can\n   * point to the same bucket (e.g. when calling array.reshape()).\n   */\n  dataId: DataId;\n  /** The shape of the tensor. */\n  readonly shape: ShapeMap[R];\n  /** Number of elements in the tensor. */\n  readonly size: number;\n  /** The data type for the array. */\n  readonly dtype: DataType;\n  /** The rank type for the array (see `Rank` enum). */\n  readonly rankType: R;\n\n  /** Whether this tensor has been globally kept. */\n  kept = false;\n  /** The id of the scope this tensor is being tracked in. */\n  scopeId: number;\n\n  /**\n   * Number of elements to skip in each dimension when indexing. See\n   * https://docs.scipy.org/doc/numpy/reference/generated/\\\n   * numpy.ndarray.strides.html\n   */\n  readonly strides: number[];\n\n  constructor(shape: ShapeMap[R], dtype: DataType, dataId: DataId, id: number) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.dtype = dtype || 'float32';\n    this.size = util.sizeFromShape(shape);\n    this.strides = computeStrides(shape);\n    this.dataId = dataId;\n    this.id = id;\n    this.rankType = (this.rank < 5 ? this.rank.toString() : 'higher') as R;\n  }\n\n  /** Flatten a Tensor to a 1D array. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  flatten(): Tensor1D {\n    this.throwIfDisposed();\n    return this.as1D();\n  }\n\n  /** Converts a size-1 `tf.Tensor` to a `tf.Scalar`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asScalar(): Scalar {\n    this.throwIfDisposed();\n    util.assert(this.size === 1, () => 'The array must have only 1 element.');\n    return this.reshape<Rank.R0>([]);\n  }\n\n  /** Converts a `tf.Tensor` to a `tf.Tensor1D`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as1D(): Tensor1D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R1>([this.size]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor2D`.\n   *\n   * @param rows Number of rows in `tf.Tensor2D`.\n   * @param columns Number of columns in `tf.Tensor2D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as2D(rows: number, columns: number): Tensor2D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R2>([rows, columns]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor3D`.\n   *\n   * @param rows Number of rows in `tf.Tensor3D`.\n   * @param columns Number of columns in `tf.Tensor3D`.\n   * @param depth Depth of `tf.Tensor3D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as3D(rows: number, columns: number, depth: number): Tensor3D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R3>([rows, columns, depth]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor4D`.\n   *\n   * @param rows Number of rows in `tf.Tensor4D`.\n   * @param columns Number of columns in `tf.Tensor4D`.\n   * @param depth Depth of `tf.Tensor4D`.\n   * @param depth2 4th dimension of `tf.Tensor4D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as4D(rows: number, columns: number, depth: number, depth2: number): Tensor4D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R4>([rows, columns, depth, depth2]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor5D`.\n   *\n   * @param rows Number of rows in `tf.Tensor5D`.\n   * @param columns Number of columns in `tf.Tensor5D`.\n   * @param depth Depth of `tf.Tensor5D`.\n   * @param depth2 4th dimension of `tf.Tensor5D`.\n   * @param depth3 5th dimension of 'tf.Tensor5D'\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as5D(\n      rows: number, columns: number, depth: number, depth2: number,\n      depth3: number): Tensor5D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R5>([rows, columns, depth, depth2, depth3]);\n  }\n\n  /**\n   * Casts a `tf.Tensor` to a specified dtype.\n   *\n   * @param dtype Data-type to cast the tensor to.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asType<T extends this>(this: T, dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this, dtype);\n  }\n\n  get rank(): number {\n    return this.shape.length;\n  }\n\n  /**\n   * Returns a promise of `tf.TensorBuffer` that holds the underlying data.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async buffer<D extends DataType = 'float32'>(): Promise<TensorBuffer<R, D>> {\n    const vals = await this.data<D>();\n    return opHandler.buffer(this.shape, this.dtype as D, vals);\n  }\n\n  /** Returns a `tf.TensorBuffer` that holds the underlying data. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  bufferSync<D extends DataType = 'float32'>(): TensorBuffer<R, D> {\n    return opHandler.buffer(this.shape, this.dtype as D, this.dataSync());\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * asynchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async array(): Promise<ArrayMap[R]> {\n    const vals = await this.data();\n    return toNestedArray(this.shape, vals) as ArrayMap[R];\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * synchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  arraySync(): ArrayMap[R] {\n    return toNestedArray(this.shape, this.dataSync()) as ArrayMap[R];\n  }\n\n  /**\n   * Asynchronously downloads the values from the `tf.Tensor`. Returns a\n   * promise of `TypedArray` that resolves when the computation has finished.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]> {\n    this.throwIfDisposed();\n    const data = trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      const bytes = await data as Uint8Array[];\n      try {\n        return bytes.map(b => util.decodeString(b)) as DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as Promise<DataTypeMap[D]>;\n  }\n\n  /**\n   * Synchronously downloads the values from the `tf.Tensor`. This blocks the\n   * UI thread until the values are ready, which can cause performance issues.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D] {\n    this.throwIfDisposed();\n    const data = trackerFn().readSync(this.dataId);\n    if (this.dtype === 'string') {\n      try {\n        return (data as Uint8Array[]).map(b => util.decodeString(b)) as\n            DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as DataTypeMap[D];\n  }\n\n  /** Returns the underlying bytes of the tensor's data. */\n  async bytes(): Promise<Uint8Array[]|Uint8Array> {\n    this.throwIfDisposed();\n    const data = await trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      return data as Uint8Array[];\n    } else {\n      return new Uint8Array((data as TypedArray).buffer);\n    }\n  }\n\n  /**\n   * Disposes `tf.Tensor` from memory.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dispose(): void {\n    if (this.isDisposed) {\n      return;\n    }\n    trackerFn().disposeTensor(this);\n    this.isDisposedInternal = true;\n  }\n\n  protected isDisposedInternal = false;\n  get isDisposed(): boolean {\n    return this.isDisposedInternal;\n  }\n\n  private throwIfDisposed() {\n    if (this.isDisposed) {\n      throw new Error(`Tensor is disposed.`);\n    }\n  }\n\n  /** Casts the array to type `float32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toFloat<T extends this>(this: T): T {\n    return this.asType('float32');\n  }\n\n  /** Casts the array to type `int32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toInt() {\n    return this.asType('int32');\n  }\n\n  /** Casts the array to type `bool` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toBool() {\n    return this.asType('bool');\n  }\n\n  /**\n   * Prints the `tf.Tensor`. See `tf.print` for details.\n   *\n   * @param verbose Whether to print verbose information about the tensor,\n   *    including dtype and size.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  print(verbose = false): void {\n    return opHandler.print(this, verbose);\n  }\n\n  /**\n   * Reshapes the tensor into the provided shape.\n   * See `tf.reshape` for more details.\n   *\n   * @param newShape An array of integers defining the output tensor shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshape<R2 extends Rank>(newShape: ShapeMap[R2]): Tensor<R2> {\n    this.throwIfDisposed();\n    return opHandler.reshape(this, newShape);\n  }\n\n  /**\n   * Reshapes the tensor into the shape of the provided tensor.\n   *\n   * @param x The tensor of required shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshapeAs<T extends Tensor>(x: T): T {\n    this.throwIfDisposed();\n    return this.reshape(x.shape) as T;\n  }\n\n  /**\n   * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n   * into the tensor's shape. See `tf.expandDims` for details.\n   *\n   * @param axis The dimension index at which to insert shape of 1. Defaults to\n   *     0 (the first dimension).\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  expandDims<R2 extends Rank>(axis = 0): Tensor<R2> {\n    return opHandler.expandDims(this, axis);\n  }\n\n  /**\n   * Returns the cumulative sum of the `tf.Tensor` along `axis`.\n   *\n   * @param axis The axis along which to sum. Optional. Defaults to 0.\n   * @param exclusive Whether to perform exclusive cumulative sum. Defaults to\n   *    false. If set to true then the sum of each tensor entry does not\n   * include its own value, but only the values previous to it along the\n   * specified axis.\n   * @param reverse Whether to sum in the opposite direction. Defaults to\n   *    false.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  cumsum<T extends Tensor>(axis = 0, exclusive = false, reverse = false): T {\n    return opHandler.cumsum(this, axis, exclusive, reverse);\n  }\n\n  /**\n   * Returns a `tf.Tensor` with dimensions of size 1 removed from the shape.\n   * See `tf.squeeze` for more details.\n   *\n   * @param axis A list of numbers. If specified, only squeezes the\n   *    dimensions listed. The dimension index starts at 0. It is an error to\n   *    squeeze a dimension that is not 1.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  squeeze<T extends Tensor>(axis?: number[]): T {\n    this.throwIfDisposed();\n    return opHandler.squeeze(this, axis);\n  }\n\n  /** Returns a copy of the tensor. See `tf.clone` for details. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  clone<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.clone(this);\n  }\n\n  /**\n   * Returns a human-readable description of the tensor. Useful for logging.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toString(verbose = false): string {\n    const vals = this.dataSync();\n    return tensorToString(vals, this.shape, this.dtype, verbose);\n  }\n\n  // Below is chain API that is not exposed to docs to avoid repetition. To\n  // expose a method, move it above this comment and add @doc and jsdoc.\n\n  gather<T extends this>(this: T, indices: Tensor|TensorLike, axis = 0): T {\n    this.throwIfDisposed();\n    return opHandler.gather(this, indices, axis);\n  }\n\n  matMul<T extends Tensor>(\n      this: T, b: T|TensorLike, transposeA = false, transposeB = false): T {\n    this.throwIfDisposed();\n    return opHandler.matMul(this, b, transposeA, transposeB);\n  }\n  dot(b: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.dot(this, b);\n  }\n  norm(\n      ord: number|'euclidean'|'fro' = 'euclidean', axis: number|number[] = null,\n      keepDims = false): Tensor {\n    this.throwIfDisposed();\n    return opHandler.norm(this, ord, axis, keepDims);\n  }\n  slice<T extends Tensor<R>>(\n      this: T, begin: number|number[], size?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.slice(this, begin, size);\n  }\n  reverse<T extends Tensor>(this: T, axis?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.reverse(this, axis);\n  }\n  concat<T extends Tensor>(this: T, x: T|Array<T|TensorLike>, axis = 0): T {\n    this.throwIfDisposed();\n    if (x instanceof Tensor) {\n      x = [x];\n    }\n    return opHandler.concat([this, ...x], axis);\n  }\n  split<T extends Tensor>(this: T, numOrSizeSplits: number[]|number, axis = 0):\n      T[] {\n    this.throwIfDisposed();\n    return opHandler.split(this, numOrSizeSplits, axis);\n  }\n  stack(x: Tensor, axis = 0): Tensor {\n    return opHandler.stack([this, x], axis);\n  }\n  unstack(axis = 0): Tensor[] {\n    return opHandler.unstack(this, axis);\n  }\n  /**\n   * @deprecated Use `tf.batchNorm` instead, and note the positional argument\n   *     change of scale, offset, and varianceEpsilon.\n   */\n  batchNormalization(\n      mean: Tensor<R>|Tensor1D|TensorLike,\n      variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n      scale?: Tensor<R>|Tensor1D|TensorLike,\n      offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n    deprecationWarningFn(\n        'tf.batchNormalization() is going away. ' +\n        'Use tf.batchNorm() instead, and note the positional argument change ' +\n        'of scale, offset, and varianceEpsilon');\n    return this.batchNorm(mean, variance, offset, scale, varianceEpsilon);\n  }\n\n  // Reduction ops.\n  all<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.all(this, axis, keepDims);\n  }\n  any<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.any(this, axis, keepDims);\n  }\n  logSumExp<T extends Tensor>(axis: number|number[] = null, keepDims = false):\n      T {\n    this.throwIfDisposed();\n    return opHandler.logSumExp(this, axis, keepDims);\n  }\n  sum<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.sum(this, axis, keepDims);\n  }\n  prod<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.prod(this, axis, keepDims);\n  }\n  mean<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.mean(this, axis, keepDims);\n  }\n  min<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.min(this, axis, keepDims);\n  }\n  max<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.max(this, axis, keepDims);\n  }\n  argMin<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMin(this, axis);\n  }\n  argMax<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMax(this, axis);\n  }\n\n  // Transformations\n  cast<T extends this>(dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this as T, dtype);\n  }\n\n  // Binary ops.\n  addStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.addStrict(this, x);\n  }\n  atan2<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.atan2(this, x);\n  }\n  sub<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.sub(this, x);\n  }\n  subStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.subStrict(this, x);\n  }\n  pow<T extends Tensor>(this: T, exp: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.pow(this, exp);\n  }\n  powStrict(exp: Tensor|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.powStrict(this, exp);\n  }\n  mul<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mul(this, x);\n  }\n  mulStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mulStrict(this, x);\n  }\n  floorDiv<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.floorDiv(this, x);\n  }\n  divStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.divStrict(this, x);\n  }\n  minimum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimum(this, x);\n  }\n  minimumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimumStrict(this, x);\n  }\n  maximum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximum(this, x);\n  }\n  maximumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximumStrict(this, x);\n  }\n  mod<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mod(this, x);\n  }\n  modStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.modStrict(this, x);\n  }\n  squaredDifferenceStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.squaredDifferenceStrict(this, x);\n  }\n\n  // Compare ops.\n\n  notEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqual(this, x);\n  }\n  notEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqualStrict(this, x);\n  }\n  less<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.less(this, x);\n  }\n  lessStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessStrict(this, x);\n  }\n  equal<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equal(this, x);\n  }\n  equalStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equalStrict(this, x);\n  }\n  lessEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqual(this, x);\n  }\n  lessEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqualStrict(this, x);\n  }\n  greater<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greater(this, x);\n  }\n  greaterStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterStrict(this, x);\n  }\n  greaterEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqual(this, x);\n  }\n  greaterEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqualStrict(this, x);\n  }\n\n  // Compare ops.\n  logicalAnd(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalAnd(this, x);\n  }\n  logicalOr(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalOr(this, x);\n  }\n  logicalNot<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logicalNot(this);\n  }\n  logicalXor(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalXor(this, x);\n  }\n  where(condition: Tensor|TensorLike, x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.where(condition, this, x);\n  }\n\n  // Unary ops.\n  neg<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.neg(this);\n  }\n  ceil<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.ceil(this);\n  }\n  floor<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.floor(this);\n  }\n  sign<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sign(this);\n  }\n  isNaN<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isNaN(this);\n  }\n  isInf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isInf(this);\n  }\n  isFinite<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isFinite(this);\n  }\n  exp<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.exp(this);\n  }\n  expm1<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.expm1(this);\n  }\n  log<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log(this);\n  }\n  log1p<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log1p(this);\n  }\n  sqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sqrt(this);\n  }\n  rsqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.rsqrt(this);\n  }\n  square<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.square(this);\n  }\n  reciprocal<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.reciprocal(this);\n  }\n  abs<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.abs(this);\n  }\n  clipByValue(min: number, max: number): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.clipByValue(this, min, max);\n  }\n  relu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu(this);\n  }\n  relu6<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu6(this);\n  }\n  elu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.elu(this);\n  }\n  selu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.selu(this);\n  }\n  leakyRelu(alpha = 0.2): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.leakyRelu(this, alpha);\n  }\n  prelu(alpha: Tensor<R>|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.prelu(this, alpha);\n  }\n  sigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sigmoid(this);\n  }\n  logSigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logSigmoid(this);\n  }\n  softplus<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.softplus(this);\n  }\n  zerosLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.zerosLike(this);\n  }\n  onesLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.onesLike(this);\n  }\n  sin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sin(this);\n  }\n  cos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cos(this);\n  }\n  tan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tan(this);\n  }\n  asin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asin(this);\n  }\n  acos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acos(this);\n  }\n  atan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atan(this);\n  }\n  sinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sinh(this);\n  }\n  cosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cosh(this);\n  }\n  tanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tanh(this);\n  }\n  asinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asinh(this);\n  }\n  acosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acosh(this);\n  }\n  atanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atanh(this);\n  }\n  erf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.erf(this);\n  }\n  round<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.round(this);\n  }\n  step<T extends Tensor>(this: T, alpha = 0.0): T {\n    this.throwIfDisposed();\n    return opHandler.step(this, alpha);\n  }\n  softmax<T extends this>(this: T, dim = -1): T {\n    this.throwIfDisposed();\n    return opHandler.softmax(this, dim);\n  }\n  logSoftmax<T extends this>(this: T, axis = -1): T {\n    this.throwIfDisposed();\n    return opHandler.logSoftmax(this, axis);\n  }\n\n  // Image ops.\n  resizeBilinear<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeBilinear(this, newShape2D, alignCorners);\n  }\n\n  resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeNearestNeighbor(\n        this, newShape2D, alignCorners);\n  }\n\n  // Convolutions.\n  conv1d<T extends Tensor2D|Tensor3D>(\n      this: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv1d(\n        this, filter, stride, pad, dataFormat, dilation, dimRoundingMode);\n  }\n  conv2d<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2dTranspose(\n        this, filter, outputShape, strides, pad, dimRoundingMode);\n  }\n  depthwiseConv2D<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.depthwiseConv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      this: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n      dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.separableConv2d(\n        this, depthwiseFilter, pointwiseFilter, strides, pad, dilation,\n        dataFormat);\n  }\n\n  // Pooling.\n  avgPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.avgPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  maxPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.maxPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      this: T, radius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n    return opHandler.localResponseNormalization(\n        this, radius, bias, alpha, beta);\n  }\n  pool<T extends Tensor3D|Tensor4D>(\n      this: T, windowShape: [number, number]|number, poolingType: 'max'|'avg',\n      padding: 'valid'|'same'|number, dilationRate?: [number, number]|number,\n      strides?: [number, number]|number): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.pool(\n        this, windowShape, poolingType, padding, dilationRate, strides);\n  }\n\n  variable(trainable = true, name?: string, dtype?: DataType): Variable<R> {\n    this.throwIfDisposed();\n    return trackerFn().makeVariable(this, trainable, name, dtype) as\n        Variable<R>;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      this: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T {\n    this.throwIfDisposed();\n    return opHandler.unsortedSegmentSum(this, segmentIds, numSegments);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      this: T, blockShape: number[], crops: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.batchToSpaceND(this, blockShape, crops);\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      this: T, blockShape: number[], paddings: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.spaceToBatchND(this, blockShape, paddings);\n  }\n\n  topk<T extends Tensor>(this: T, k = 1, sorted = true):\n      {values: T, indices: T} {\n    this.throwIfDisposed();\n    return opHandler.topk(this, k, sorted);\n  }\n\n  stridedSlice(\n      this: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n      shrinkAxisMask = 0): Tensor {\n    this.throwIfDisposed();\n    return opHandler.stridedSlice(\n        this, begin, end, strides, beginMask, endMask, ellipsisMask,\n        newAxisMask, shrinkAxisMask);\n  }\n\n  depthToSpace(this: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    this.throwIfDisposed();\n    return opHandler.depthToSpace(this, blockSize, dataFormat);\n  }\n\n  fft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.fft(this);\n  }\n\n  ifft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.ifft(this);\n  }\n\n  rfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.rfft(this);\n  }\n\n  irfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.irfft(this);\n  }\n}\nObject.defineProperty(Tensor, Symbol.hasInstance, {\n  value: (instance: Tensor) => {\n    return !!instance && instance.dataId != null && instance.shape != null &&\n        instance.dtype != null;\n  }\n});\n\nexport interface NumericTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: NumericDataType;\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D];\n  data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]>;\n}\n\nexport interface StringTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: 'string';\n  dataSync<D extends DataType = 'string'>(): DataTypeMap[D];\n  data<D extends DataType = 'string'>(): Promise<DataTypeMap[D]>;\n}\n\n/** @doclink Tensor */\nexport type Scalar = Tensor<Rank.R0>;\n/** @doclink Tensor */\nexport type Tensor1D = Tensor<Rank.R1>;\n/** @doclink Tensor */\nexport type Tensor2D = Tensor<Rank.R2>;\n/** @doclink Tensor */\nexport type Tensor3D = Tensor<Rank.R3>;\n/** @doclink Tensor */\nexport type Tensor4D = Tensor<Rank.R4>;\n/** @doclink Tensor */\nexport type Tensor5D = Tensor<Rank.R5>;\n/** @doclink Tensor */\nexport type Tensor6D = Tensor<Rank.R6>;\n\n/**\n * A mutable `tf.Tensor`, useful for persisting state, e.g. for training.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Variable<R extends Rank = Rank> extends Tensor<R> {\n  name: string;\n\n  constructor(\n      initialValue: Tensor<R>, public trainable: boolean, name: string,\n      tensorId: number) {\n    super(\n        initialValue.shape, initialValue.dtype, initialValue.dataId, tensorId);\n    this.name = name;\n  }\n\n  /**\n   * Assign a new `tf.Tensor` to this variable. The new `tf.Tensor` must have\n   * the same shape and dtype as the old `tf.Tensor`.\n   *\n   * @param newValue New tensor to be assigned to this variable.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  assign(newValue: Tensor<R>): void {\n    if (newValue.dtype !== this.dtype) {\n      throw new Error(\n          `dtype of the new value (${newValue.dtype}) and ` +\n          `previous value (${this.dtype}) must match`);\n    }\n    if (!util.arraysEqual(newValue.shape, this.shape)) {\n      throw new Error(\n          `shape of the new value (${newValue.shape}) and ` +\n          `previous value (${this.shape}) must match`);\n    }\n    trackerFn().disposeTensor(this);\n    this.dataId = newValue.dataId;\n    trackerFn().incRef(this, null /* backend */);\n  }\n\n  dispose(): void {\n    trackerFn().disposeVariable(this);\n    this.isDisposedInternal = true;\n  }\n}\n\nObject.defineProperty(Variable, Symbol.hasInstance, {\n  value: (instance: Variable) => {\n    return instance instanceof Tensor && instance.assign != null &&\n        instance.assign instanceof Function;\n  }\n});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** @docalias number[] */\nexport interface ShapeMap {\n  R0: number[];\n  R1: [number];\n  R2: [number, number];\n  R3: [number, number, number];\n  R4: [number, number, number, number];\n  R5: [number, number, number, number, number];\n  R6: [number, number, number, number, number, number];\n}\n\n/** @docalias number[] */\nexport interface ArrayMap {\n  R0: number;\n  R1: number[];\n  R2: number[][];\n  R3: number[][][];\n  R4: number[][][][];\n  R5: number[][][][][];\n  R6: number[][][][][][];\n}\n\nexport interface DataTypeMap {\n  float32: Float32Array;\n  int32: Int32Array;\n  bool: Uint8Array;\n  complex64: Float32Array;\n  string: string[];\n}\n\nexport interface SingleValueMap {\n  bool: boolean;\n  int32: number;\n  float32: number;\n  complex64: number;\n  string: string;\n}\n\n/** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */\nexport type DataType = keyof DataTypeMap;\nexport type NumericDataType = 'float32'|'int32'|'bool'|'complex64';\nexport type TypedArray = Float32Array|Int32Array|Uint8Array;\n/** Tensor data used in tensor creation and user-facing API. */\nexport type DataValues = DataTypeMap[DataType];\n/** The underlying tensor data that gets stored in a backend. */\nexport type BackendValues = Float32Array|Int32Array|Uint8Array|Uint8Array[];\n\nexport enum Rank {\n  R0 = 'R0',\n  R1 = 'R1',\n  R2 = 'R2',\n  R3 = 'R3',\n  R4 = 'R4',\n  R5 = 'R5',\n  R6 = 'R6'\n}\n\nexport type FlatVector = boolean[]|number[]|TypedArray;\nexport type RegularArray<T> =\n    T[]|T[][]|T[][][]|T[][][][]|T[][][][][]|T[][][][][][];\n\n// tslint:disable-next-line:no-any\nexport interface RecursiveArray<T extends any> {\n  [index: number]: T|RecursiveArray<T>;\n}\n\n// Looks for upcasting types. Used, for example, in operations with mixed dtype\n// inputs.\nenum UpcastInt32AndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'int32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastBoolAndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'bool',\n  'complex64' = 'complex64'\n}\n\nenum UpcastFloat32AndMap {\n  'float32' = 'float32',\n  'int32' = 'float32',\n  'bool' = 'float32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastComplex64AndMap {\n  'float32' = 'complex64',\n  'int32' = 'complex64',\n  'bool' = 'complex64',\n  'complex64' = 'complex64'\n}\n\nconst upcastTypeMap = {\n  'float32': UpcastFloat32AndMap,\n  'int32': UpcastInt32AndMap,\n  'bool': UpcastBoolAndMap,\n  'complex64': UpcastComplex64AndMap\n};\n\nexport function upcastType(typeA: DataType, typeB: DataType): DataType {\n  if (typeA === 'string' || typeB === 'string') {\n    if (typeA === 'string' && typeB === 'string') {\n      return 'string';\n    }\n    throw new Error(`Can not upcast ${typeA} with ${typeB}`);\n  }\n  return upcastTypeMap[typeA][typeB];\n}\n\n/** Returns the output type after summation. */\nexport function sumOutType(type: DataType): DataType {\n  return upcastType(type, 'int32');\n}\n\n/** @docalias TypedArray|Array */\nexport type TensorLike =\n    TypedArray|number|boolean|string|RecursiveArray<number|number[]|TypedArray>|\n    RecursiveArray<boolean>|RecursiveArray<string>|Uint8Array[];\nexport type ScalarLike = number|boolean|string|Uint8Array;\n/** @docalias TypedArray|Array */\nexport type TensorLike1D = TypedArray|number[]|boolean[]|string[]|Uint8Array[];\n/** @docalias TypedArray|Array */\nexport type TensorLike2D = TypedArray|number[]|number[][]|boolean[]|boolean[][]|\n    string[]|string[][]|Uint8Array[]|Uint8Array[][];\n/** @docalias TypedArray|Array */\nexport type TensorLike3D = TypedArray|number[]|number[][][]|boolean[]|\n    boolean[][][]|string[]|string[][][]|Uint8Array[]|Uint8Array[][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike4D = TypedArray|number[]|number[][][][]|boolean[]|\n    boolean[][][][]|string[]|string[][][][]|Uint8Array[]|Uint8Array[][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike5D =\n    TypedArray|number[]|number[][][][][]|boolean[]|boolean[][][][][]|string[]|\n    string[][][][][]|Uint8Array[]|Uint8Array[][][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike6D =\n    TypedArray|number[]|number[][][][][][]|boolean[]|boolean[][][][][][]|\n    string[]|string[][][][][][]|Uint8Array[]|Uint8Array[][][][][];\n\n/** Type for representing image dat in Uint8Array type. */\nexport interface PixelData {\n  width: number;\n  height: number;\n  data: Uint8Array;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {TensorContainer, TensorContainerArray} from './tensor_types';\nimport {upcastType} from './types';\nimport {assert} from './util';\n\nexport function makeTypesMatch<T extends Tensor>(a: T, b: T): [T, T] {\n  if (a.dtype === b.dtype) {\n    return [a, b];\n  }\n  const dtype = upcastType(a.dtype, b.dtype);\n  return [a.cast(dtype), b.cast(dtype)];\n}\n\nexport function assertTypesMatch(a: Tensor, b: Tensor): void {\n  assert(\n      a.dtype === b.dtype,\n      () => `The dtypes of the first(${a.dtype}) and` +\n          ` second(${b.dtype}) input must match`);\n}\n\nexport function isTensorInList(tensor: Tensor, tensorList: Tensor[]): boolean {\n  return tensorList.some(x => x.id === tensor.id);\n}\n\n/**\n * Extracts any `Tensor`s found within the provided object.\n *\n * @param container an object that may be a `Tensor` or may directly contain\n *   `Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. In general it\n *   is safe to pass any object here, except that `Promise`s are not\n *   supported.\n * @returns An array of `Tensors` found within the passed object. If the\n *   argument is simply a `Tensor', a list containing that `Tensor` is\n *   returned. If the object is not a `Tensor` or does not\n *   contain `Tensors`, an empty list is returned.\n */\nexport function getTensorsInContainer(result: TensorContainer): Tensor[] {\n  const list: Tensor[] = [];\n  const seen = new Set<{}|void>();\n  walkTensorContainer(result, list, seen);\n  return list;\n}\n\nfunction walkTensorContainer(\n    container: TensorContainer, list: Tensor[], seen: Set<{}|void>): void {\n  if (container == null) {\n    return;\n  }\n  if (container instanceof Tensor) {\n    list.push(container);\n    return;\n  }\n  if (!isIterable(container)) {\n    return;\n  }\n  // Iteration over keys works also for arrays.\n  const iterable = container as TensorContainerArray;\n  for (const k in iterable) {\n    const val = iterable[k];\n    if (!seen.has(val)) {\n      seen.add(val);\n      walkTensorContainer(val, list, seen);\n    }\n  }\n}\n\n// tslint:disable-next-line:no-any\nfunction isIterable(obj: any): boolean {\n  return Array.isArray(obj) || typeof obj === 'object';\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimingInfo, DataMover, KernelBackend} from './backends/backend';\nimport {Environment, setEnvironmentGlobal} from './environment';\nimport {getGradient, getKernel, getKernelsForBackend, GradFunc, NamedAttrMap, TensorInfo} from './kernel_registry';\nimport {Profiler} from './profiler';\nimport {backpropagateGradients, getFilteredNodesXToY, TapeNode} from './tape';\nimport {DataId, setTensorTracker, Tensor, TensorTracker, Variable} from './tensor';\nimport {GradSaveFunc, NamedTensorMap, NamedVariableMap, TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\nimport {BackendValues, DataType, DataValues} from './types';\nimport * as util from './util';\nimport {bytesFromStringArray, makeOnesTypedArray, now, sizeFromShape} from './util';\n\n/**\n * A function that computes an output. The save function is for saving tensors\n * computed in the forward pass, that we need in the backward pass.\n */\nexport type ForwardFunc<T> = (backend: KernelBackend, save?: GradSaveFunc) => T;\n\n/**\n * @docalias (a: Tensor, b: Tensor,..., save?: Function) => {\n *   value: Tensor,\n *   gradFunc: (dy: Tensor, saved?: NamedTensorMap) => Tensor | Tensor[]\n * }\n */\nexport type CustomGradientFunc<T extends Tensor> =\n    (...inputs: Array<Tensor|GradSaveFunc>) => {\n      value: T;\n      gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[];\n    };\n\nexport type MemoryInfo = {\n  numTensors: number; numDataBuffers: number; numBytes: number;\n  unreliable?: boolean; reasons: string[];\n};\n\ntype KernelProfile = {\n  name: string; bytesAdded: number; totalBytesSnapshot: number;\n  tensorsAdded: number;\n  totalTensorsSnapshot: number;\n  inputShapes: number[][];\n  outputShapes: number[][];\n};\n\nexport type ProfileInfo = {\n  newBytes: number; newTensors: number; peakBytes: number;\n  kernels: KernelProfile[];\n  result: TensorContainer;\n};\n\nexport interface TimingInfo extends BackendTimingInfo {\n  wallMs: number;\n}\n\n/** @docalias Function */\nexport type ScopeFn<T extends TensorContainer> = () => T;\n\ninterface ScopeState {\n  track: Tensor[];\n  name: string;\n  id: number;\n}\n\nclass EngineState {\n  // Public since optimizers will use it.\n  registeredVariables: NamedVariableMap = {};\n\n  nextTapeNodeId = 0;\n  numBytes = 0;\n  numTensors = 0;\n  numStringTensors = 0;\n  numDataBuffers = 0;\n\n  activeTape: TapeNode[];\n  // Number of nested tf.grad() statements when computing higher-order\n  // gradients. E.g. `1` for first-order gradients and `2` for second-order\n  // gradients. Used to track if the tape should be removed after a backprop.\n  gradientDepth = 0;\n  // Number of nested kernel calls. When kernel depth is greater than 1, we turn\n  // off the tape.\n  kernelDepth = 0;\n\n  // Keep Tensors that parallel the tapes.\n  activeScope: ScopeState;\n  scopeStack: ScopeState[] = [];\n  /**\n   * Keeps track of the number of data moves during a kernel execution. We\n   * maintain a stack since kernels can call other kernels, recursively.\n   */\n  numDataMovesStack: number[] = [];\n  nextScopeId = 0;\n\n  tensorInfo = new WeakMap<DataId, {\n    backend: KernelBackend,\n    bytes: number,\n    dtype: DataType,\n    shape: number[],\n    refCount: number\n  }>();\n\n  profiling = false;\n  activeProfile: ProfileInfo =\n      {newBytes: 0, newTensors: 0, peakBytes: 0, kernels: [], result: null};\n\n  dispose() {\n    for (const variableName in this.registeredVariables) {\n      this.registeredVariables[variableName].dispose();\n    }\n  }\n}\n\nexport class Engine implements TensorTracker, DataMover {\n  state: EngineState;\n  backendName: string;\n  registry: {[id: string]: KernelBackend} = {};\n  registryFactory: {\n    [id: string]: {\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority: number\n    }\n  } = {};\n\n  private profiler: Profiler;\n  private backendInstance: KernelBackend;\n  private pendingBackendInit: Promise<boolean>;\n  private pendingBackendInitId = 0;\n\n  constructor(public ENV: Environment) {\n    this.state = new EngineState();\n  }\n\n  async ready(): Promise<void> {\n    if (this.pendingBackendInit != null) {\n      return this.pendingBackendInit.then(() => {});\n    }\n    if (this.backendInstance != null) {\n      return;\n    }\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const success = await this.initializeBackend(backendName).success;\n      if (success) {\n        await this.setBackend(backendName);\n        return;\n      }\n    }\n\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  get backend(): KernelBackend {\n    if (this.pendingBackendInit != null) {\n      throw new Error(\n          `Backend '${this.backendName}' has not yet been initialized. Make ` +\n          `sure to await tf.ready() or await tf.setBackend() before calling ` +\n          `other methods`);\n    }\n    if (this.backendInstance == null) {\n      const {name, asyncInit} = this.initializeBackendsAndReturnBest();\n      if (asyncInit) {\n        throw new Error(\n            `The highest priority backend '${name}' has not yet been ` +\n            `initialized. Make sure to await tf.ready() or ` +\n            `await tf.setBackend() before calling other methods`);\n      }\n      this.setBackend(name);\n    }\n    return this.backendInstance;\n  }\n\n  backendNames(): string[] {\n    return Object.keys(this.registryFactory);\n  }\n\n  findBackend(backendName: string): KernelBackend {\n    if (!(backendName in this.registry)) {\n      // If the backend hasn't been initialized but we have a registry entry for\n      // it, initialize it and return it.\n      if (backendName in this.registryFactory) {\n        const {asyncInit} = this.initializeBackend(backendName);\n        if (asyncInit) {\n          // Backend is not ready yet.\n          return null;\n        }\n      } else {\n        return null;\n      }\n    }\n    return this.registry[backendName];\n  }\n\n  findBackendFactory(backendName: string):\n      () => KernelBackend | Promise<KernelBackend> {\n    if (!(backendName in this.registryFactory)) {\n      return null;\n    }\n    return this.registryFactory[backendName].factory;\n  }\n\n  registerBackend(\n      backendName: string,\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority = 1): boolean {\n    if (backendName in this.registryFactory) {\n      console.warn(\n          `${backendName} backend was already registered. ` +\n          `Reusing existing backend factory.`);\n      return false;\n    }\n    this.registryFactory[backendName] = {factory, priority};\n    return true;\n  }\n\n  async setBackend(backendName: string): Promise<boolean> {\n    if (this.registryFactory[backendName] == null) {\n      throw new Error(`Backend name '${backendName}' not found in registry`);\n    }\n    this.backendName = backendName;\n    if (this.registry[backendName] == null) {\n      this.backendInstance = null;\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      const result = asyncInit ? await success : success;\n      if (!result) {\n        return false;\n      }\n    }\n    this.backendInstance = this.registry[backendName];\n    this.setupRegisteredKernels();\n    // Reset the profiler.\n    this.profiler = new Profiler(this.backendInstance);\n\n    return true;\n  }\n\n  private setupRegisteredKernels(): void {\n    const kernels = getKernelsForBackend(this.backendName);\n    kernels.forEach(kernel => {\n      if (kernel.setupFunc != null) {\n        kernel.setupFunc(this.backendInstance);\n      }\n    });\n  }\n\n  private disposeRegisteredKernels(backendName: string): void {\n    const kernels = getKernelsForBackend(backendName);\n    kernels.forEach(kernel => {\n      if (kernel.disposeFunc != null) {\n        kernel.disposeFunc(this.registry[backendName]);\n      }\n    });\n  }\n\n  /**\n   * Initializes a backend by looking up the backend name in the factory\n   * registry and calling the factory method. Returns a boolean representing\n   * whether the initialization of the backend suceeded. Throws an error if\n   * there is no backend in the factory registry.\n   */\n  private initializeBackend(backendName: string):\n      {success: boolean|Promise<boolean>, asyncInit: boolean} {\n    const registryFactoryEntry = this.registryFactory[backendName];\n    if (registryFactoryEntry == null) {\n      throw new Error(\n          `Cannot initialize backend ${backendName}, no registration found.`);\n    }\n\n    try {\n      const backend = registryFactoryEntry.factory();\n      // Test if the factory returns a promise.\n      if (Promise.resolve(backend) === backend) {\n        const promiseId = ++this.pendingBackendInitId;\n        const success =\n            backend\n                .then(backendInstance => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.registry[backendName] = backendInstance;\n                  this.pendingBackendInit = null;\n                  return true;\n                })\n                .catch(err => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.pendingBackendInit = null;\n                  console.warn(\n                      `Initialization of backend ${backendName} failed`);\n                  console.warn(err.stack || err.message);\n                  return false;\n                });\n        this.pendingBackendInit = success;\n        return {success, asyncInit: true};\n      } else {\n        this.registry[backendName] = backend as KernelBackend;\n        return {success: true, asyncInit: false};\n      }\n    } catch (err) {\n      console.warn(`Initialization of backend ${backendName} failed`);\n      console.warn(err.stack || err.message);\n      return {success: false, asyncInit: false};\n    }\n  }\n\n  removeBackend(backendName: string): void {\n    if (!(backendName in this.registryFactory)) {\n      throw new Error(`${backendName} backend not found in registry`);\n    }\n    if (this.backendName === backendName && this.pendingBackendInit != null) {\n      // There is a pending promise of the backend we want to remove. Make it\n      // obsolete.\n      this.pendingBackendInitId++;\n    }\n\n    if (backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n\n    delete this.registryFactory[backendName];\n\n    // Unset the backend if it is active.\n    if (this.backendName === backendName) {\n      this.pendingBackendInit = null;\n      this.backendName = null;\n      this.backendInstance = null;\n    }\n  }\n\n  private getSortedBackends(): string[] {\n    if (Object.keys(this.registryFactory).length === 0) {\n      throw new Error('No backend found in registry.');\n    }\n    return Object.keys(this.registryFactory).sort((a: string, b: string) => {\n      // Highest priority comes first.\n      return this.registryFactory[b].priority -\n          this.registryFactory[a].priority;\n    });\n  }\n\n  private initializeBackendsAndReturnBest():\n      {name: string, asyncInit: boolean} {\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      if (asyncInit || success) {\n        return {name: backendName, asyncInit};\n      }\n    }\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  moveData(destBackend: KernelBackend, dataId: DataId) {\n    const info = this.state.tensorInfo.get(dataId);\n    const srcBackend = info.backend;\n    const values = this.readSync(dataId);\n    // Delete the tensor from the old backend and move it to the new\n    // backend.\n    srcBackend.disposeData(dataId);\n    info.backend = destBackend;\n    destBackend.move(dataId, values, info.shape, info.dtype);\n    if (this.shouldCheckForMemLeaks()) {\n      // Track the number of moves during a kernel execution to correctly\n      // detect memory leaks.\n      this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;\n    }\n  }\n\n  tidy<T extends TensorContainer>(nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>):\n      T {\n    let name: string = null;\n    if (fn == null) {\n      // Called with only 1 argument.\n      if (typeof nameOrFn !== 'function') {\n        throw new Error('Please provide a function to tidy()');\n      }\n      fn = nameOrFn;\n    } else {\n      // Called with 2 arguments.\n      if (typeof nameOrFn !== 'string' && !(nameOrFn instanceof String)) {\n        throw new Error(\n            'When calling with two arguments, the first argument ' +\n            'to tidy() must be a string');\n      }\n      if (typeof fn !== 'function') {\n        throw new Error(\n            'When calling with two arguments, the 2nd argument ' +\n            'to tidy() must be a function');\n      }\n      name = nameOrFn as string;\n      // TODO(nsthorat,smilkov): Do operation logging and performance\n      // profiling.\n    }\n    let result: T;\n    return this.scopedRun(\n        () => this.startScope(name), () => this.endScope(result), () => {\n          result = fn();\n          if (result instanceof Promise) {\n            console.error('Cannot return a Promise inside of tidy.');\n          }\n          return result;\n        });\n  }\n\n  private scopedRun<T>(start: () => void, end: () => void, f: () => T): T {\n    start();\n    try {\n      const res = f();\n      end();\n      return res;\n    } catch (ex) {\n      end();\n      throw ex;\n    }\n  }\n\n  private static nextTensorId = 0;\n  private nextTensorId(): number {\n    return Engine.nextTensorId++;\n  }\n\n  private static nextVariableId = 0;\n  private nextVariableId(): number {\n    return Engine.nextVariableId++;\n  }\n\n  /**\n   * This method is called instead of the public-facing tensor.clone() when\n   * saving a tensor for backwards pass. It makes sure to add the clone\n   * operation to the tape regardless of being called inside a kernel\n   * execution.\n   *\n   * This method will go away once all kernels are modularized since we won't\n   * need to turn off the tape inside runKernel().\n   */\n  private clone(x: Tensor): Tensor {\n    const y = this.makeTensorFromDataId(x.dataId, x.shape, x.dtype);\n    const inputs = {x};\n    const grad = (dy: Tensor) => ({x: () => dy.toFloat()});\n    const saved: Tensor[] = [];\n    this.addTapeNode(this.state.activeScope.name, inputs, [y], grad, saved, {});\n    return y;\n  }\n\n  /**\n   * Execute a kernel with the given name and return the output tensor.\n   *\n   * @param kernelName The name of the kernel to execute.\n   * @param inputs A map of input names to tensors.\n   * @param attrs A map of attribute names to their values. An attribute is a\n   *     primitive (non-tensor) input to the kernel.\n   * @param inputsToSave A list of tensors, inputs to save for the backprop\n   *     computation.\n   * @param outputsToSave A list of booleans, specifying which output to save\n   *     for the backprop computation. These are booleans since the output\n   * tensors are not visible to the user.\n   */\n  runKernel(\n      kernelName: string, inputs: NamedTensorMap, attrs: NamedAttrMap,\n      inputsToSave?: Tensor[], outputsToSave?: boolean[]): Tensor|Tensor[] {\n    const forwardFunc: null = null;\n    const backwardsFunc: null = null;\n    // Call runKernel as a stop-gap until we modularize all kernels.\n    // Once we modularize all kernels, we will remove the existing\n    // `runKernelFunc`.\n    return this.runKernelFunc(\n        forwardFunc, inputs, backwardsFunc, kernelName, attrs, inputsToSave,\n        outputsToSave);\n  }\n\n  private shouldCheckForMemLeaks(): boolean {\n    return this.ENV.getBool('IS_TEST');\n  }\n\n  private checkKernelForMemLeak(\n      kernelName: string, numDataIdsBefore: number,\n      outInfos: TensorInfo[]): void {\n    const numDataIdsAfter = this.backend.numDataIds();\n\n    // Count the number of data ids associated with the result of the kernel.\n    let numOutputDataIds = 0;\n    outInfos.forEach(info => {\n      // Complex numbers allocate 3 data ids, one for 'real', one for\n      // 'imaginary', and one for the container that holds the former two.\n      numOutputDataIds += (info.dtype === 'complex64' ? 3 : 1);\n    });\n\n    // Account for the number of moves during kernel execution. A \"data move\"\n    // can happen in the middle of a kernel execution, placing a new (key,value)\n    // pair in the data storage. Since data moves have net zero effect (we\n    // always remove the data from the old backend), we have to cancel them out\n    // when detecting memory leaks.\n    const numMoves =\n        this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];\n    const dataIdsLeaked =\n        numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;\n    if (dataIdsLeaked > 0) {\n      throw new Error(\n          `Backend '${this.backendName}' has an internal memory leak ` +\n          `(${dataIdsLeaked} data ids) after running '${kernelName}'`);\n    }\n  }\n\n  /**\n   * @deprecated Use `runKernel` for newly added kernels. Keep using this method\n   *     only for kernels that are not yet fully modularized.\n   */\n  runKernelFunc<T extends Tensor|Tensor[], I extends NamedTensorMap>(\n      forwardFunc: ForwardFunc<T>, inputs: I,\n      backwardsFunc?: (dy: T, saved: Tensor[]) => {[P in keyof I]: () => I[P]},\n      kernelName?: string, attrs?: NamedAttrMap, inputsToSave?: Tensor[],\n      outputsToSave?: boolean[]): T {\n    let outputs: Tensor[];\n    let saved: Tensor[] = [];\n    const isTapeOn = this.isTapeOn();\n    if (kernelName == null) {\n      kernelName =\n          this.state.activeScope != null ? this.state.activeScope.name : '';\n    }\n\n    const startingBytecount = this.state.numBytes;\n    const startingNumTensors = this.state.numTensors;\n\n    if (this.shouldCheckForMemLeaks()) {\n      this.state.numDataMovesStack.push(0);\n    }\n\n    let kernelFunc: () => Tensor[];\n    const kernel = getKernel(kernelName, this.backendName);\n    let out: TensorInfo|TensorInfo[];\n    if (kernel != null) {\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = kernel.kernelFunc({inputs, attrs, backend: this.backend});\n        const outInfos = Array.isArray(out) ? out : [out];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos);\n        }\n        const outTensors = outInfos.map(\n            ({dataId, shape, dtype}) =>\n                this.makeTensorFromDataId(dataId, shape, dtype));\n\n        // Save the inputs and outputs.\n        // Do not save unless we are recording to the tape. Otherwise it would\n        // cause a mem leak since we would never run backprop, which disposes\n        // the kept tensors.\n        if (isTapeOn) {\n          let tensorsToSave =\n              this.getTensorsForGradient(kernelName, inputs, outTensors);\n          if (tensorsToSave == null) {\n            // Fallback for ops that call runKernelFunc and pass in\n            // inputsToSave and outputsToSave. Currently this is the set of ops\n            // with kernel support in the WASM backend. Once those ops and\n            // respective gradients are modularised we can remove this path.\n            if (outputsToSave == null) {\n              outputsToSave = [];\n            }\n            const outsToSave = outTensors.filter((_, i) => outputsToSave[i]);\n            tensorsToSave = (inputsToSave || []).slice().concat(outsToSave);\n          }\n          saved = this.saveTensorsForBackwardMode(tensorsToSave);\n        }\n        return outTensors;\n      };\n    } else {\n      const saveFunc: GradSaveFunc = (tensors) => {\n        // Do not save unless we are recording to the tape. Otherwise it would\n        // cause a mem leak since we would never run backprop, which disposes\n        // the kept tensors.\n        if (!isTapeOn) {\n          return;\n        }\n        saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n      };\n\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = this.tidy(() => forwardFunc(this.backend, saveFunc));\n        const outs = (Array.isArray(out) ? out : [out]) as Tensor[];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outs);\n        }\n        return outs;\n      };\n    }\n\n    // Stop recording to a tape when running a kernel.\n    this.scopedRun(\n        () => this.state.kernelDepth++, () => this.state.kernelDepth--, () => {\n          if (!this.ENV.getBool('DEBUG')) {\n            outputs = kernelFunc();\n          } else {\n            outputs = this.profiler.profileKernel(\n                kernelName, inputs, () => kernelFunc());\n          }\n        });\n\n    if (isTapeOn) {\n      this.addTapeNode(\n          kernelName, inputs, outputs, backwardsFunc, saved, attrs);\n    }\n\n    if (this.state.profiling) {\n      this.state.activeProfile.kernels.push({\n        name: kernelName,\n        bytesAdded: this.state.numBytes - startingBytecount,\n        totalBytesSnapshot: this.state.numBytes,\n        tensorsAdded: this.state.numTensors - startingNumTensors,\n        totalTensorsSnapshot: this.state.numTensors,\n        inputShapes: Object.keys(inputs).map(key => inputs[key].shape),\n        outputShapes: outputs.map(item => item.shape)\n      });\n    }\n    return (Array.isArray(out) ? outputs : outputs[0]) as T;\n  }\n\n  /**\n   * Saves tensors used in forward mode for use in backward mode.\n   *\n   * @param tensors the list of tensors to save.\n   */\n  private saveTensorsForBackwardMode(tensors: Tensor[]): Tensor[] {\n    const saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n    return saved;\n  }\n\n  /**\n   * Returns a list of tensors to save for a given gradient calculation.\n   *\n   * Returns undefined if their is no registered gradient for this kernel in the\n   * gradient registry.\n   *\n   * @param kernelName name of kernel to look up gradient for.\n   * @param inputs a map of input tensors.\n   * @param outputs an array of output tensors from forward mode of kernel.\n   */\n  private getTensorsForGradient(\n      kernelName: string, inputs: NamedTensorMap,\n      outputs: Tensor[]): Tensor[]|null {\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      const inputsToSave: string[] = gradConfig.inputsToSave || [];\n      const outputsToSave: boolean[] = gradConfig.outputsToSave || [];\n\n      // If saveAllInputs is true, all inputs will be saved. Otherwise, inputs\n      // specified in inputsToSave will be saved.\n      let inputTensorsToSave: Tensor[];\n      if (gradConfig.saveAllInputs) {\n        util.assert(\n            Array.isArray(inputs),\n            () => 'saveAllInputs is true, expected inputs to be an array.');\n\n        inputTensorsToSave = Object.keys(inputs).map((key) => inputs[key]);\n      } else {\n        inputTensorsToSave = inputsToSave.map((inputName) => inputs[inputName]);\n      }\n\n      const outputTensorsToSave: Tensor[] =\n          outputs.filter((_, i) => outputsToSave[i]);\n\n      return inputTensorsToSave.concat(outputTensorsToSave);\n    }\n    // TODO(yassogba) throw exception here once all runkernelFunc calls with\n    // inputsToSave/outputsToSave are removed\n    return null;\n  }\n\n  /**\n   * Internal method used by public APIs for tensor creation. Makes a new\n   * tensor with the provided shape, dtype and values. It always\n   * creates a new data id and writes the values to the underlying backend.\n   */\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    if (values == null) {\n      throw new Error('Values passed to engine.makeTensor() are null');\n    }\n    dtype = dtype || 'float32';\n    backend = backend || this.backend;\n    let backendVals = values as BackendValues;\n    if (dtype === 'string' && util.isString(values[0])) {\n      backendVals = (values as string[]).map(d => util.encodeString(d));\n    }\n    const dataId = backend.write(backendVals, shape, dtype);\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n\n    // Count bytes for string tensors.\n    if (dtype === 'string') {\n      const info = this.state.tensorInfo.get(dataId);\n      const newBytes = bytesFromStringArray(backendVals as Uint8Array[]);\n      this.state.numBytes += newBytes - info.bytes;\n      info.bytes = newBytes;\n    }\n    return t;\n  }\n\n  /**\n   * Internal method used by backends. Makes a new tensor\n   * that is a wrapper around an existing data id. It doesn't create\n   * a new data id, only increments the ref count used in memory tracking.\n   */\n  makeTensorFromDataId(\n      dataId: DataId, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    dtype = dtype || 'float32';\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n    return t;\n  }\n\n  makeVariable(\n      initialValue: Tensor, trainable = true, name?: string,\n      dtype?: DataType): Variable {\n    name = name || this.nextVariableId().toString();\n    if (dtype != null && dtype !== initialValue.dtype) {\n      initialValue = initialValue.asType(dtype);\n    }\n    const v = new Variable(initialValue, trainable, name, this.nextTensorId());\n    if (this.state.registeredVariables[v.name] != null) {\n      throw new Error(`Variable with name ${v.name} was already registered`);\n    }\n    this.state.registeredVariables[v.name] = v;\n    this.incRef(v, this.backend);\n    return v;\n  }\n\n  incRef(a: Tensor, backend: KernelBackend): void {\n    const refCount = this.state.tensorInfo.has(a.dataId) ?\n        this.state.tensorInfo.get(a.dataId).refCount :\n        0;\n    this.state.numTensors++;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors++;\n    }\n    if (refCount === 0) {\n      this.state.numDataBuffers++;\n\n      // Bytes for complex numbers are counted by their components. Bytes for\n      // string tensors are counted when writing values.\n      let bytes = 0;\n      if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n        bytes = a.size * util.bytesPerElement(a.dtype);\n      }\n      this.state.tensorInfo.set(a.dataId, {\n        backend: backend || this.backend,\n        dtype: a.dtype,\n        shape: a.shape,\n        bytes,\n        refCount: 0\n      });\n      this.state.numBytes += bytes;\n    }\n    this.state.tensorInfo.get(a.dataId).refCount++;\n    if (!(a instanceof Variable)) {\n      this.track(a);\n    }\n  }\n\n  disposeTensor(a: Tensor): void {\n    if (!this.state.tensorInfo.has(a.dataId)) {\n      return;\n    }\n\n    this.state.numTensors--;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors--;\n    }\n    const info = this.state.tensorInfo.get(a.dataId);\n    const refCount = info.refCount;\n    if (refCount <= 1) {\n      // Don't count bytes for complex numbers as they are counted by their\n      // components.\n      if (a.dtype !== 'complex64') {\n        this.state.numBytes -= info.bytes;\n      }\n      this.state.numDataBuffers--;\n      info.backend.disposeData(a.dataId);\n      this.state.tensorInfo.delete(a.dataId);\n    } else {\n      this.state.tensorInfo.get(a.dataId).refCount--;\n    }\n    // TODO(nsthorat): Construct an error and save the stack trace for\n    // debugging when in debug mode. Creating a stack trace is too expensive\n    // to do unconditionally.\n  }\n\n  disposeVariables(): void {\n    for (const varName in this.state.registeredVariables) {\n      const v = this.state.registeredVariables[varName];\n      this.disposeVariable(v);\n    }\n  }\n\n  disposeVariable(v: Variable): void {\n    this.disposeTensor(v);\n    if (this.state.registeredVariables[v.name] != null) {\n      delete this.state.registeredVariables[v.name];\n    }\n  }\n\n  memory(): MemoryInfo {\n    const info = this.backend.memory() as MemoryInfo;\n    info.numTensors = this.state.numTensors;\n    info.numDataBuffers = this.state.numDataBuffers;\n    info.numBytes = this.state.numBytes;\n    if (this.state.numStringTensors > 0) {\n      info.unreliable = true;\n      if (info.reasons == null) {\n        info.reasons = [];\n      }\n      info.reasons.push(\n          'Memory usage by string tensors is approximate ' +\n          '(2 bytes per character)');\n    }\n    return info;\n  }\n\n  async profile(query: () => TensorContainer): Promise<ProfileInfo> {\n    this.state.profiling = true;\n\n    const startBytes = this.state.numBytes;\n    const startNumTensors = this.state.numTensors;\n\n    this.state.activeProfile.kernels = [];\n    this.state.activeProfile.result = query();\n\n    this.state.profiling = false;\n\n    this.state.activeProfile.peakBytes = Math.max(\n        ...this.state.activeProfile.kernels.map(d => d.totalBytesSnapshot));\n    this.state.activeProfile.newBytes = this.state.numBytes - startBytes;\n    this.state.activeProfile.newTensors =\n        this.state.numTensors - startNumTensors;\n    return this.state.activeProfile;\n  }\n\n  isTapeOn(): boolean {\n    return this.state.gradientDepth > 0 && this.state.kernelDepth === 0;\n  }\n\n  private addTapeNode(\n      kernelName: string, inputs: NamedTensorMap, outputs: Tensor[],\n      gradientsFunc: GradFunc, saved: Tensor[], attrs: NamedAttrMap): void {\n    const tapeNode: TapeNode =\n        {id: this.state.nextTapeNodeId++, kernelName, inputs, outputs, saved};\n\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      gradientsFunc = gradConfig.gradFunc;\n    }\n    if (gradientsFunc != null) {\n      tapeNode.gradient = (dys: Tensor[]) => {\n        // TODO(smilkov): To optimize back-prop, pass dys that are not used in\n        // the backprop graph to the user as null instead of zeros\n        dys = dys.map((dy, i) => {\n          if (dy == null) {\n            const output = outputs[i];\n            const vals = util.makeZerosTypedArray(output.size, output.dtype);\n            return this.makeTensor(vals, output.shape, output.dtype);\n          }\n          return dy;\n        });\n        // Grad functions of ops with single outputs expect a dy, while ops\n        // with multiple outputs expect dys (array of dy).\n        return gradientsFunc(dys.length > 1 ? dys : dys[0], saved, attrs);\n      };\n    }\n    this.state.activeTape.push(tapeNode);\n  }\n\n  keep<T extends Tensor>(result: T): T {\n    result.kept = true;\n    return result;\n  }\n\n  private startTape() {\n    if (this.state.gradientDepth === 0) {\n      this.state.activeTape = [];\n    }\n    this.state.gradientDepth++;\n  }\n\n  private endTape() {\n    this.state.gradientDepth--;\n  }\n\n  /**\n   * Start a scope. Use this with endScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  startScope(name?: string) {\n    const scopeInfo: ScopeState = {\n      track: [],\n      name: 'unnamed scope',\n      id: this.state.nextScopeId++\n    };\n    if (name) {\n      scopeInfo.name = name;\n    }\n    this.state.scopeStack.push(scopeInfo);\n    this.state.activeScope = scopeInfo;\n  }\n\n  /**\n   * End a scope. Use this with startScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  endScope(result?: TensorContainer) {\n    const tensorsToTrackInParent = getTensorsInContainer(result);\n    const tensorsToTrackInParentSet =\n        new Set(tensorsToTrackInParent.map(t => t.id));\n\n    // Dispose the arrays tracked in this scope.\n    for (let i = 0; i < this.state.activeScope.track.length; i++) {\n      const tensor = this.state.activeScope.track[i];\n      if (!tensor.kept && !tensorsToTrackInParentSet.has(tensor.id)) {\n        tensor.dispose();\n      }\n    }\n\n    const oldScope = this.state.scopeStack.pop();\n    this.state.activeScope = this.state.scopeStack.length === 0 ?\n        null :\n        this.state.scopeStack[this.state.scopeStack.length - 1];\n\n    // Track the current result in the parent scope.\n    tensorsToTrackInParent.forEach(tensor => {\n      // Only track the tensor if was allocated in the inner scope and is not\n      // globally kept.\n      if (!tensor.kept && tensor.scopeId === oldScope.id) {\n        this.track(tensor);\n      }\n    });\n  }\n\n  /**\n   * Returns gradients of `f` with respect to each of the `xs`. The gradients\n   * returned are of the same length as `xs`, but some might be null if `f`\n   * was not a function of that `x`. It also takes optional dy to multiply the\n   * gradient, which defaults to `1`.\n   */\n  gradients<T extends Tensor>(\n      f: () => T, xs: Tensor[], dy?: T,\n      allowNoGradients = false): {value: T, grads: Tensor[]} {\n    util.assert(\n        xs.length > 0, () => 'gradients() received an empty list of xs.');\n    if (dy != null && dy.dtype !== 'float32') {\n      throw new Error(`dy must have 'float32' dtype, but has '${dy.dtype}'`);\n    }\n\n    const y = this.scopedRun(\n        () => this.startTape(), () => this.endTape(),\n        () => this.tidy('forward', f));\n\n    util.assert(\n        y instanceof Tensor,\n        () => 'The result y returned by f() must be a tensor.');\n    // Filter out the nodes that don't connect x => y.\n    const filteredTape = getFilteredNodesXToY(this.state.activeTape, xs, y);\n    if (!allowNoGradients && filteredTape.length === 0 && xs.length > 0) {\n      throw new Error(\n          'Cannot compute gradient of y=f(x) with respect to x. Make sure ' +\n          'that the f you passed encloses all operations that lead from x ' +\n          'to y.');\n    }\n\n    return this.tidy('backward', () => {\n      const accumulatedGradientMap: {[tensorId: number]: Tensor} = {};\n      accumulatedGradientMap[y.id] = (dy == null) ? ones(y.shape) : dy;\n\n      // Backprop gradients through the filtered nodes.\n      backpropagateGradients(\n          accumulatedGradientMap, filteredTape,\n          // Pass the tidy function to avoid circular dep with `tape.ts`.\n          f => this.tidy(f as ScopeFn<Tensor>));\n      const grads = xs.map(x => accumulatedGradientMap[x.id]);\n\n      if (this.state.gradientDepth === 0) {\n        // This means that we are not computing higher-order gradients\n        // and can clean up the tape.\n        this.state.activeTape.forEach(node => {\n          for (const tensor of node.saved) {\n            tensor.dispose();\n          }\n        });\n        this.state.activeTape = null;\n      }\n      return {value: y, grads};\n    });\n  }\n\n  customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n      (...args: Array<Tensor|GradSaveFunc>) => T {\n    util.assert(\n        util.isFunction(f),\n        () => 'The f passed in customGrad(f) must be a function.');\n    return (...inputs: Tensor[]): T => {\n      util.assert(\n          inputs.every(t => t instanceof Tensor),\n          () => 'The args passed in customGrad(f)(x1, x2,...) must all be ' +\n              'tensors');\n\n      let res: {\n        value: T,\n        gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[],\n      };\n      const inputMap: NamedTensorMap = {};\n      inputs.forEach((input, i) => {\n        inputMap[i] = input;\n      });\n      return this.runKernelFunc(\n          (_, save) => {\n            res = f(...[...inputs, save]);\n            util.assert(\n                res.value instanceof Tensor,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.value` is a tensor');\n            util.assert(\n                util.isFunction(res.gradFunc),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function.');\n            return res.value;\n          },\n          inputMap,\n          (dy: T, saved: Tensor[]) => {\n            const gradRes = res.gradFunc(dy, saved);\n            const grads: Tensor[] =\n                Array.isArray(gradRes) ? gradRes : [gradRes];\n            util.assert(\n                grads.length === inputs.length,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'the same number of tensors as inputs passed to f(...).');\n            util.assert(\n                grads.every(t => t instanceof Tensor),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'a list of only tensors.');\n            const gradMap: {[key: string]: () => Tensor} = {};\n            grads.forEach((grad, i) => {\n              gradMap[i] = () => grad;\n            });\n            return gradMap;\n          });\n    };\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.readSync(dataId);\n  }\n  read(dataId: DataId): Promise<BackendValues> {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.read(dataId);\n  }\n\n  async time(query: () => void): Promise<TimingInfo> {\n    const start = now();\n    const timingInfo = await this.backend.time(query) as TimingInfo;\n    timingInfo.wallMs = now() - start;\n    return timingInfo;\n  }\n\n  /**\n   * Tracks a Tensor in the current scope to be automatically cleaned up\n   * when the current scope ends, and returns the value.\n   *\n   * @param result The Tensor to track in the current scope.\n   */\n  private track<T extends Tensor>(result: T): T {\n    if (this.state.activeScope != null) {\n      result.scopeId = this.state.activeScope.id;\n      this.state.activeScope.track.push(result);\n    }\n\n    return result;\n  }\n\n  get registeredVariables(): NamedVariableMap {\n    return this.state.registeredVariables;\n  }\n\n  /**\n   * Resets the engine state. Removes all backends but does not remove\n   * registered backend factories.\n   */\n  reset(): void {\n    // Make any pending promise obsolete.\n    this.pendingBackendInitId++;\n\n    this.state.dispose();\n    this.ENV.reset();\n    this.state = new EngineState();\n\n    for (const backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n    this.backendName = null;\n    this.backendInstance = null;\n    this.pendingBackendInit = null;\n  }\n}\n\nfunction ones(shape: number[]): Tensor {\n  const values = makeOnesTypedArray(sizeFromShape(shape), 'float32');\n  return ENGINE.makeTensor(values, shape, 'float32');\n}\n\nlet GLOBAL: {_tfengine: Engine};\nfunction getGlobalNamespace(): {_tfengine: Engine} {\n  if (GLOBAL == null) {\n    // tslint:disable-next-line:no-any\n    let ns: any;\n    if (typeof (window) !== 'undefined') {\n      ns = window;\n    } else if (typeof (global) !== 'undefined') {\n      ns = global;\n    } else if (typeof (process) !== 'undefined') {\n      ns = process;\n    } else if (typeof (self) !== 'undefined') {\n      ns = self;\n    } else {\n      throw new Error('Could not find a global object');\n    }\n    GLOBAL = ns;\n  }\n  return GLOBAL;\n}\n\nfunction getOrMakeEngine(): Engine {\n  const ns = getGlobalNamespace();\n  if (ns._tfengine == null) {\n    const environment = new Environment(ns);\n    ns._tfengine = new Engine(environment);\n  }\n  setEnvironmentGlobal(ns._tfengine.ENV);\n\n  // Tell the current tensor interface that the global engine is responsible\n  // for tracking.\n  setTensorTracker(() => ns._tfengine);\n  return ns._tfengine;\n}\n\nexport const ENGINE = getOrMakeEngine();\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport * as util from './util';\n\nexport interface TapeNode {\n  id: number;\n  kernelName: string;\n  outputs: Tensor[];\n  inputs: NamedTensorMap;\n  // Optional params, defined only for ops with gradient impl.\n  gradient?: (dys: Tensor[]) => NamedGradientMap;\n  saved?: Tensor[];\n}\n\nexport type NamedGradientMap = {\n  [inputName: string]: () => Tensor;\n};\n\n/**\n * Computes a list of TapeNodes that connect x to y, filtering everything else\n * out and preserving the order of the original tape elements.\n *\n * @param tape The tape elements to filter.\n * @param xs The input Tensors.\n * @param y The output Tensor.\n */\nexport function getFilteredNodesXToY(\n    tape: TapeNode[], xs: Tensor[], y: Tensor): TapeNode[] {\n  // Forward pass to compute all the nodes and Tensors that are transitively a\n  // function of x.\n  const tensorsFromX: {[tensorId: number]: boolean} = {};\n  const nodesFromX: {[nodeId: number]: boolean} = {};\n  for (let i = 0; i < xs.length; i++) {\n    tensorsFromX[xs[i].id] = true;\n  }\n\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n    for (const inputName in nodeInputs) {\n      const input = nodeInputs[inputName];\n\n      let anyInputFromX = false;\n      for (let j = 0; j < xs.length; j++) {\n        if (tensorsFromX[input.id]) {\n          node.outputs.forEach(output => tensorsFromX[output.id] = true);\n          anyInputFromX = true;\n          nodesFromX[node.id] = true;\n          break;\n        }\n      }\n\n      if (anyInputFromX) {\n        break;\n      }\n    }\n  }\n\n  // Backward pass to find all of the nodes and Tensors that lead to y.\n  const tensorsLeadToY: {[tensorId: number]: boolean} = {};\n  tensorsLeadToY[y.id] = true;\n  const nodesToY: {[nodeId: number]: boolean} = {};\n\n  for (let i = tape.length - 1; i >= 0; i--) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n\n    // If any of the outputs lead to y, mark all of the inputs as leading to y.\n    for (let j = 0; j < node.outputs.length; j++) {\n      if (tensorsLeadToY[node.outputs[j].id]) {\n        for (const inputName in nodeInputs) {\n          tensorsLeadToY[nodeInputs[inputName].id] = true;\n          nodesToY[node.id] = true;\n        }\n        break;\n      }\n    }\n  }\n\n  // Return the paths that come from x and lead to y.\n  const filteredTape: TapeNode[] = [];\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n\n    if (nodesFromX[node.id] && nodesToY[node.id]) {\n      // Prune the inputs from the node that aren't a function of x.\n      const prunedInputs: {[inputName: string]: Tensor} = {};\n      for (const inputName in node.inputs) {\n        const nodeInput = node.inputs[inputName];\n        if (tensorsFromX[nodeInput.id]) {\n          prunedInputs[inputName] = nodeInput;\n        }\n      }\n\n      // Copy the node and overwrite inputsAndArgs to the pruned version.\n      const prunedNode = Object.assign({}, node);\n      prunedNode.inputs = prunedInputs;\n      prunedNode.outputs = node.outputs;\n\n      filteredTape.push(prunedNode);\n    }\n  }\n\n  return filteredTape;\n}\n\n/**\n * Backpropagate gradients through the filtered TapeNodes.\n *\n * @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map\n * is mutated by this method.\n * @param filteredTape The filtered TapeNodes to backprop through.\n */\nexport function backpropagateGradients(\n    tensorAccumulatedGradientMap: {[tensorId: number]: Tensor},\n    filteredTape: TapeNode[], tidy: (f: Function) => Tensor) {\n  // Walk the tape backward and keep a map of Tensor to its gradient.\n  for (let i = filteredTape.length - 1; i >= 0; i--) {\n    const node = filteredTape[i];\n\n    const dys: Tensor[] = [];\n    node.outputs.forEach(o => {\n      const gradTensor = tensorAccumulatedGradientMap[o.id];\n      if (gradTensor != null) {\n        dys.push(gradTensor);\n      } else {\n        // This particular output is not in the back-propagation subgraph, so it\n        // does not affect the final output, thus we put null for its dy.\n        dys.push(null);\n      }\n    });\n\n    if (node.gradient == null) {\n      throw new Error(\n          `Cannot compute gradient: gradient function not found ` +\n          `for ${node.kernelName}.`);\n    }\n\n    // Backprop dy through this node and accumulate gradients over the inputs.\n    const inputGradients = node.gradient(dys);\n\n    for (const inputName in node.inputs) {\n      if (!(inputName in inputGradients)) {\n        throw new Error(\n            `Cannot backprop through input ${inputName}. ` +\n            `Available gradients found: ${Object.keys(inputGradients)}.`);\n      }\n\n      // Call the gradient function.\n      const dx = tidy(() => inputGradients[inputName]());\n      if (dx.dtype !== 'float32') {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `${inputName} must have 'float32' dtype, but has '${dx.dtype}'`);\n      }\n      const x = node.inputs[inputName];\n      if (!util.arraysEqual(dx.shape, x.shape)) {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `'${inputName}' has shape '${dx.shape}', which does not match ` +\n            `the shape of the input '${x.shape}'`);\n      }\n\n      if (tensorAccumulatedGradientMap[x.id] == null) {\n        tensorAccumulatedGradientMap[x.id] = dx;\n      } else {\n        const curGradient = tensorAccumulatedGradientMap[x.id];\n        tensorAccumulatedGradientMap[x.id] = curGradient.add(dx);\n        curGradient.dispose();\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function isMobile(): boolean {\n  // tslint:disable-next-line:no-any\n  const a = navigator.userAgent || navigator.vendor || (window as any).opera;\n  // tslint:disable-next-line:max-line-length\n  return /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i\n             .test(a) ||\n      // tslint:disable-next-line:max-line-length\n      /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i\n          .test(a.substr(0, 4));\n}\n\nexport function isBrowser(): boolean {\n  return (typeof window !== 'undefined' && window.document != null) ||\n      //@ts-ignore\n      (typeof WorkerGlobalScope !== 'undefined');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport * as device_util from './device_util';\nimport {env} from './environment';\n\nconst ENV = env();\n\n/**\n * This file contains environment-related flag registrations.\n */\n\n/** Whether to enable debug mode. */\nENV.registerFlag('DEBUG', () => false, debugValue => {\n  if (debugValue) {\n    console.warn(\n        'Debugging mode is ON. The output of every math call will ' +\n        'be downloaded to CPU and checked for NaNs. ' +\n        'This significantly impacts performance.');\n  }\n});\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_BROWSER', () => device_util.isBrowser());\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag(\n    'IS_NODE',\n    () => (typeof process !== 'undefined') &&\n        (typeof process.versions !== 'undefined') &&\n        (typeof process.versions.node !== 'undefined'));\n\n/** Whether this browser is Chrome. */\nENV.registerFlag(\n    'IS_CHROME',\n    () => typeof navigator !== 'undefined' && navigator != null &&\n        navigator.userAgent != null && /Chrome/.test(navigator.userAgent) &&\n        /Google Inc/.test(navigator.vendor));\n\n/**\n * True when the environment is \"production\" where we disable safety checks\n * to gain performance.\n */\nENV.registerFlag('PROD', () => false);\n\n/**\n * Whether to do sanity checks when inferring a shape from user-provided\n * values, used when creating a new tensor.\n */\nENV.registerFlag(\n    'TENSORLIKE_CHECK_SHAPE_CONSISTENCY', () => ENV.getBool('DEBUG'));\n\n/** Whether deprecation warnings are enabled. */\nENV.registerFlag('DEPRECATION_WARNINGS_ENABLED', () => true);\n\n/** True if running unit tests. */\nENV.registerFlag('IS_TEST', () => false);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst contexts: {[key: string]: WebGLRenderingContext} = {};\n\nconst WEBGL_ATTRIBUTES: WebGLContextAttributes = {\n  alpha: false,\n  antialias: false,\n  premultipliedAlpha: false,\n  preserveDrawingBuffer: false,\n  depth: false,\n  stencil: false,\n  failIfMajorPerformanceCaveat: true\n};\n\nexport function setWebGLContext(\n    webGLVersion: number, gl: WebGLRenderingContext) {\n  contexts[webGLVersion] = gl;\n}\n\nexport function getWebGLContext(webGLVersion: number): WebGLRenderingContext {\n  if (!(webGLVersion in contexts)) {\n    contexts[webGLVersion] = getWebGLRenderingContext(webGLVersion);\n  }\n  const gl = contexts[webGLVersion];\n  if (gl.isContextLost()) {\n    delete contexts[webGLVersion];\n    return getWebGLContext(webGLVersion);\n  }\n\n  gl.disable(gl.DEPTH_TEST);\n  gl.disable(gl.STENCIL_TEST);\n  gl.disable(gl.BLEND);\n  gl.disable(gl.DITHER);\n  gl.disable(gl.POLYGON_OFFSET_FILL);\n  gl.disable(gl.SAMPLE_COVERAGE);\n  gl.enable(gl.SCISSOR_TEST);\n  gl.enable(gl.CULL_FACE);\n  gl.cullFace(gl.BACK);\n\n  return contexts[webGLVersion];\n}\n\nfunction createCanvas(webGLVersion: number) {\n  if (typeof OffscreenCanvas !== 'undefined' && webGLVersion === 2) {\n    return new OffscreenCanvas(300, 150);\n  } else if (typeof document !== 'undefined') {\n    return document.createElement('canvas');\n  } else {\n    throw new Error('Cannot create a canvas in this context');\n  }\n}\n\nfunction getWebGLRenderingContext(webGLVersion: number): WebGLRenderingContext {\n  if (webGLVersion !== 1 && webGLVersion !== 2) {\n    throw new Error('Cannot get WebGL rendering context, WebGL is disabled.');\n  }\n  const canvas = createCanvas(webGLVersion);\n\n  canvas.addEventListener('webglcontextlost', (ev: Event) => {\n    ev.preventDefault();\n    delete contexts[webGLVersion];\n  }, false);\n  if (webGLVersion === 1) {\n    return (canvas.getContext('webgl', WEBGL_ATTRIBUTES) ||\n            canvas.getContext('experimental-webgl', WEBGL_ATTRIBUTES)) as\n        WebGLRenderingContext;\n  }\n  return canvas.getContext('webgl2', WEBGL_ATTRIBUTES) as WebGLRenderingContext;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {DataId, Tensor} from '../../tensor';\nimport {BackendValues, DataType} from '../../types';\nimport * as util from '../../util';\n\nexport enum PackingScheme {\n  /**\n   * All values in a single texel are densely packed without any constraints.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 4]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   010|011   020|021\n   * -------   -------   -------\n   * 002|003   012|013   022|023\n   *\n   * 100|101   110|111   120|121\n   * -------   -------   -------\n   * 102|103   112|113   122|123\n   *\n   */\n  DENSE,\n\n  /**\n   * Single texels contain only values from the same batch, and from adjacent\n   * rows and columns.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 5]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   002|003   004|xxx   020|021   022|023   024|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   * 100|101   102|103   104|xxx   120|121   122|123   124|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   */\n  SHARED_BATCH\n}\n\nexport enum TextureUsage {\n  RENDER,\n  UPLOAD,\n  PIXELS,\n  DOWNLOAD\n}\n\nexport enum PhysicalTextureType {\n  UNPACKED_FLOAT16,\n  UNPACKED_FLOAT32,\n  PACKED_4X1_UNSIGNED_BYTE,\n  PACKED_2X2_FLOAT32,\n  PACKED_2X2_FLOAT16\n}\n\nexport interface TextureData {\n  // Required.\n  shape: number[];\n  dtype: DataType;\n\n  // Optional.\n  values?: BackendValues;\n  texture?: WebGLTexture;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field. When this is defined, texture will be null.\n  complexTensors?: {real: Tensor, imag: Tensor};\n  /** [rows, columns] shape of the texture. */\n  texShape?: [number, number];\n  usage?: TextureUsage;\n  isPacked?: boolean;\n\n  // Available when the tensor has been sliced.\n  slice?: {\n    // Offset in the 'flat index' space.\n    flatOffset: number;\n    // Used for counting how many sliced tensors point to the same texture.\n    origDataId: DataId;\n  };\n}\n\nexport function getUnpackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns, rows];\n}\n\nexport function getUnpackedArraySizeFromMatrixSize(\n    matrixSize: number, channelsPerTexture: number): number {\n  return matrixSize * channelsPerTexture;\n}\n\nexport function getColorMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns * 4, rows];\n}\n\n/**\n * Get shape for densely packed RGBA texture.\n */\nexport function getDenseTexShape(shape: number[]): [number, number] {\n  const size = util.sizeFromShape(shape);\n  const texelsNeeded = Math.ceil(size / 4);\n  return util.sizeToSquarishShape(texelsNeeded);\n}\n\nexport function getMatrixSizeFromUnpackedArraySize(\n    unpackedSize: number, channelsPerTexture: number): number {\n  if (unpackedSize % channelsPerTexture !== 0) {\n    throw new Error(\n        `unpackedSize (${unpackedSize}) must be a multiple of ` +\n        `${channelsPerTexture}`);\n  }\n  return unpackedSize / channelsPerTexture;\n}\n\nexport function decodeMatrixFromUnpackedColorRGBAArray(\n    unpackedArray: Float32Array, matrix: Float32Array, channels: number) {\n  const requiredSize = unpackedArray.length * channels / 4;\n  if (matrix.length < requiredSize) {\n    throw new Error(\n        `matrix length (${matrix.length}) must be >= ${requiredSize}`);\n  }\n  let dst = 0;\n  for (let src = 0; src < unpackedArray.length; src += 4) {\n    for (let c = 0; c < channels; c++) {\n      matrix[dst++] = unpackedArray[src + c];\n    }\n  }\n}\n\nexport function getPackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [\n    Math.max(1, Math.ceil(columns / 2)), Math.max(1, Math.ceil(rows / 2))\n  ];\n}\n\nexport function getPackedRGBAArraySizeFromMatrixShape(\n    rows: number, columns: number): number {\n  const [w, h] = getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return w * h * 4;\n}\n\nexport interface TextureConfig {\n  internalFormatFloat: number;\n  textureFormatFloat: number;\n  internalFormatPackedHalfFloat: number;\n  internalFormatHalfFloat: number;\n  internalFormatPackedFloat: number;\n\n  // The format to use during a gl.readPixels call.\n  downloadTextureFormat: number;\n  // How many channels need to be unpacked after a gl.readPixels call.\n  downloadUnpackNumChannels: number;\n\n  defaultNumChannels: number;\n  textureTypeHalfFloat: number;\n  textureTypeFloat: number;\n}\n\nexport function getTextureConfig(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension?: any): TextureConfig {\n  // tslint:disable-next-line:no-any\n  const glany = gl as any;\n\n  let internalFormatFloat: number;\n  let internalFormatHalfFloat: number;\n  let internalFormatPackedHalfFloat: number;\n  let internalFormatPackedFloat: number;\n  let textureFormatFloat: number;\n\n  let downloadTextureFormat: number;\n  let downloadUnpackNumChannels: number;\n\n  let defaultNumChannels: number;\n  let textureTypeHalfFloat: number;\n  let textureTypeFloat: number;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    internalFormatFloat = glany.R32F;\n    internalFormatHalfFloat = glany.R16F;\n    internalFormatPackedHalfFloat = glany.RGBA16F;\n    internalFormatPackedFloat = glany.RGBA32F;\n    textureFormatFloat = glany.RED;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 1;\n    textureTypeHalfFloat = glany.HALF_FLOAT;\n    textureTypeFloat = glany.FLOAT;\n  } else {\n    internalFormatFloat = gl.RGBA;\n    internalFormatHalfFloat = gl.RGBA;\n    internalFormatPackedHalfFloat = gl.RGBA;\n    internalFormatPackedFloat = glany.RGBA;\n    textureFormatFloat = gl.RGBA;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 4;\n    textureTypeHalfFloat = textureHalfFloatExtension != null ?\n        textureHalfFloatExtension.HALF_FLOAT_OES :\n        null;\n    textureTypeFloat = gl.FLOAT;\n  }\n  downloadTextureFormat = gl.RGBA;\n\n  return {\n    internalFormatFloat,\n    internalFormatHalfFloat,\n    internalFormatPackedHalfFloat,\n    internalFormatPackedFloat,\n    textureFormatFloat,\n    downloadTextureFormat,\n    downloadUnpackNumChannels,\n    defaultNumChannels,\n    textureTypeHalfFloat,\n    textureTypeFloat\n  };\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport * as util from '../../util';\n\nimport {getWebGLContext} from './canvas_util';\nimport {getTextureConfig} from './tex_util';\n\nexport function callAndCheck<T>(\n    gl: WebGLRenderingContext, debugMode: boolean, func: () => T): T {\n  const returnValue = func();\n  if (debugMode) {\n    checkWebGLError(gl);\n  }\n  return returnValue;\n}\n\nfunction checkWebGLError(gl: WebGLRenderingContext) {\n  const error = gl.getError();\n  if (error !== gl.NO_ERROR) {\n    throw new Error('WebGL Error: ' + getWebGLErrorMessage(gl, error));\n  }\n}\n\n// https://en.wikipedia.org/wiki/Half-precision_floating-point_format\nconst MIN_FLOAT16 = 5.96e-8;\nconst MAX_FLOAT16 = 65504;\n\nexport function canBeRepresented(num: number): boolean {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED') || num === 0 ||\n      (MIN_FLOAT16 < Math.abs(num) && Math.abs(num) < MAX_FLOAT16)) {\n    return true;\n  }\n  return false;\n}\n\nexport function getWebGLErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.NO_ERROR:\n      return 'NO_ERROR';\n    case gl.INVALID_ENUM:\n      return 'INVALID_ENUM';\n    case gl.INVALID_VALUE:\n      return 'INVALID_VALUE';\n    case gl.INVALID_OPERATION:\n      return 'INVALID_OPERATION';\n    case gl.INVALID_FRAMEBUFFER_OPERATION:\n      return 'INVALID_FRAMEBUFFER_OPERATION';\n    case gl.OUT_OF_MEMORY:\n      return 'OUT_OF_MEMORY';\n    case gl.CONTEXT_LOST_WEBGL:\n      return 'CONTEXT_LOST_WEBGL';\n    default:\n      return `Unknown error code ${status}`;\n  }\n}\n\nexport function getExtensionOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, extensionName: string): {} {\n  return throwIfNull<{}>(\n      gl, debug, () => gl.getExtension(extensionName),\n      'Extension \"' + extensionName + '\" not supported on this browser.');\n}\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    vertexShaderSource: string): WebGLShader {\n  const vertexShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.VERTEX_SHADER),\n      'Unable to create vertex WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(vertexShader, vertexShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(vertexShader));\n  if (gl.getShaderParameter(vertexShader, gl.COMPILE_STATUS) === false) {\n    console.log(gl.getShaderInfoLog(vertexShader));\n    throw new Error('Failed to compile vertex shader.');\n  }\n  return vertexShader;\n}\n\nexport function createFragmentShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    fragmentShaderSource: string): WebGLShader {\n  const fragmentShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.FRAGMENT_SHADER),\n      'Unable to create fragment WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(fragmentShader, fragmentShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(fragmentShader));\n  if (gl.getShaderParameter(fragmentShader, gl.COMPILE_STATUS) === false) {\n    logShaderSourceAndInfoLog(\n        fragmentShaderSource, gl.getShaderInfoLog(fragmentShader));\n    throw new Error('Failed to compile fragment shader.');\n  }\n  return fragmentShader;\n}\n\nconst lineNumberRegex = /ERROR: [0-9]+:([0-9]+):/g;\nfunction logShaderSourceAndInfoLog(\n    shaderSource: string, shaderInfoLog: string) {\n  const lineNumberRegexResult = lineNumberRegex.exec(shaderInfoLog);\n  if (lineNumberRegexResult == null) {\n    console.log(`Couldn't parse line number in error: ${shaderInfoLog}`);\n    console.log(shaderSource);\n    return;\n  }\n\n  const lineNumber = +lineNumberRegexResult[1];\n\n  const shaderLines = shaderSource.split('\\n');\n  const pad = shaderLines.length.toString().length + 2;\n  const linesWithLineNumbers = shaderLines.map(\n      (line, lineNumber) =>\n          util.rightPad((lineNumber + 1).toString(), pad) + line);\n  let maxLineLength = 0;\n  for (let i = 0; i < linesWithLineNumbers.length; i++) {\n    maxLineLength = Math.max(linesWithLineNumbers[i].length, maxLineLength);\n  }\n\n  const beforeErrorLines = linesWithLineNumbers.slice(0, lineNumber - 1);\n  const errorLine = linesWithLineNumbers.slice(lineNumber - 1, lineNumber);\n  const afterErrorLines = linesWithLineNumbers.slice(lineNumber);\n\n  console.log(beforeErrorLines.join('\\n'));\n  console.log(shaderInfoLog.split('\\n')[0]);\n  console.log(\n      `%c ${util.rightPad(errorLine[0], maxLineLength)}`,\n      'border:1px solid red; background-color:#e3d2d2; color:#a61717');\n  console.log(afterErrorLines.join('\\n'));\n}\n\nexport function createProgram(\n    gl: WebGLRenderingContext, debug: boolean): WebGLProgram {\n  return throwIfNull<WebGLProgram>(\n      gl, debug, () => gl.createProgram(), 'Unable to create WebGLProgram.');\n}\n\nexport function linkProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.linkProgram(program));\n  if (gl.getProgramParameter(program, gl.LINK_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Failed to link vertex and fragment shaders.');\n  }\n}\n\nexport function validateProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.validateProgram(program));\n  if (gl.getProgramParameter(program, gl.VALIDATE_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Shader program validation failed.');\n  }\n}\n\nexport function createStaticVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean,\n    data: Float32Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug, () => gl.bufferData(gl.ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function createStaticIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean, data: Uint16Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.bufferData(gl.ELEMENT_ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function getNumChannels(): number {\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    return 1;\n  }\n  return 4;\n}\n\nexport function createTexture(\n    gl: WebGLRenderingContext, debug: boolean): WebGLTexture {\n  return throwIfNull<WebGLTexture>(\n      gl, debug, () => gl.createTexture(), 'Unable to create WebGLTexture.');\n}\n\nexport function validateTextureSize(width: number, height: number) {\n  const maxTextureSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if ((width <= 0) || (height <= 0)) {\n    const requested = `[${width}x${height}]`;\n    throw new Error('Requested texture size ' + requested + ' is invalid.');\n  }\n  if ((width > maxTextureSize) || (height > maxTextureSize)) {\n    const requested = `[${width}x${height}]`;\n    const max = `[${maxTextureSize}x${maxTextureSize}]`;\n    throw new Error(\n        'Requested texture size ' + requested +\n        ' greater than WebGL maximum on this browser / GPU ' + max + '.');\n  }\n}\n\nexport function createFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLFramebuffer {\n  return throwIfNull<WebGLFramebuffer>(\n      gl, debug, () => gl.createFramebuffer(),\n      'Unable to create WebGLFramebuffer.');\n}\n\nexport function bindVertexBufferToProgramAttribute(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    attribute: string, buffer: WebGLBuffer, arrayEntriesPerItem: number,\n    itemStrideInBytes: number, itemOffsetInBytes: number): boolean {\n  const loc = gl.getAttribLocation(program, attribute);\n  if (loc === -1) {\n    // The GPU compiler decided to strip out this attribute because it's unused,\n    // thus no need to bind.\n    return false;\n  }\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.vertexAttribPointer(\n          loc, arrayEntriesPerItem, gl.FLOAT, false, itemStrideInBytes,\n          itemOffsetInBytes));\n  callAndCheck(gl, debug, () => gl.enableVertexAttribArray(loc));\n  return true;\n}\n\nexport function bindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n}\n\nexport function unbindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function getProgramUniformLocationOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return throwIfNull<WebGLUniformLocation>(\n      gl, debug, () => gl.getUniformLocation(program, uniformName),\n      'uniform \"' + uniformName + '\" not present in program.');\n}\n\nexport function getProgramUniformLocation(\n    gl: WebGLRenderingContext, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return gl.getUniformLocation(program, uniformName);\n}\n\nexport function bindTextureToProgramUniformSampler(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    texture: WebGLTexture, uniformSamplerLocation: WebGLUniformLocation,\n    textureUnit: number) {\n  callAndCheck(\n      gl, debug, () => bindTextureUnit(gl, debug, texture, textureUnit));\n  callAndCheck(\n      gl, debug, () => gl.uniform1i(uniformSamplerLocation, textureUnit));\n}\n\nexport function bindCanvasToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean) {\n  callAndCheck(gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n  callAndCheck(\n      gl, debug, () => gl.viewport(0, 0, gl.canvas.width, gl.canvas.height));\n  callAndCheck(\n      gl, debug, () => gl.scissor(0, 0, gl.canvas.width, gl.canvas.height));\n}\n\nexport function bindColorTextureToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0));\n}\n\nexport function unbindColorTextureFromFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, null, 0));\n}\n\nexport function validateFramebuffer(gl: WebGLRenderingContext) {\n  const status = gl.checkFramebufferStatus(gl.FRAMEBUFFER);\n  if (status !== gl.FRAMEBUFFER_COMPLETE) {\n    throw new Error(\n        'Error binding framebuffer: ' + getFramebufferErrorMessage(gl, status));\n  }\n}\n\nexport function getFramebufferErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:\n      return 'FRAMEBUFFER_INCOMPLETE_DIMENSIONS';\n    case gl.FRAMEBUFFER_UNSUPPORTED:\n      return 'FRAMEBUFFER_UNSUPPORTED';\n    default:\n      return `unknown error ${status}`;\n  }\n}\n\nfunction throwIfNull<T>(\n    gl: WebGLRenderingContext, debug: boolean, returnTOrNull: () => T | null,\n    failureMessage: string): T {\n  const tOrNull: T|null = callAndCheck(gl, debug, () => returnTOrNull());\n  if (tOrNull == null) {\n    throw new Error(failureMessage);\n  }\n  return tOrNull;\n}\n\nfunction validateTextureUnit(gl: WebGLRenderingContext, textureUnit: number) {\n  const maxTextureUnit = gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS - 1;\n  const glTextureUnit = textureUnit + gl.TEXTURE0;\n  if (glTextureUnit < gl.TEXTURE0 || glTextureUnit > maxTextureUnit) {\n    const textureUnitRange = `[gl.TEXTURE0, gl.TEXTURE${maxTextureUnit}]`;\n    throw new Error(`textureUnit must be in ${textureUnitRange}.`);\n  }\n}\n\nexport function getBatchDim(shape: number[], dimsToSkip = 2): number {\n  return util.sizeFromShape(shape.slice(0, shape.length - dimsToSkip));\n}\n\nexport function getRowsCols(shape: number[]): [number, number] {\n  if (shape.length === 0) {\n    throw Error('Cannot get rows and columns of an empty shape array.');\n  }\n\n  return [\n    shape.length > 1 ? shape[shape.length - 2] : 1, shape[shape.length - 1]\n  ];\n}\n\nexport function getShapeAs3D(shape: number[]): [number, number, number] {\n  let shapeAs3D: [number, number, number] = [1, 1, 1];\n  const isScalar = shape.length === 0 || (shape.length === 1 && shape[0] === 1);\n  if (!isScalar) {\n    shapeAs3D =\n        [getBatchDim(shape), ...getRowsCols(shape)] as [number, number, number];\n  }\n  return shapeAs3D;\n}\n\nexport function getTextureShapeFromLogicalShape(\n    logShape: number[], isPacked = false): [number, number] {\n  let maxTexSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if (isPacked) {\n    maxTexSize = maxTexSize * 2;\n\n    // This logic ensures we accurately count the number of packed texels needed\n    // to accommodate the tensor. We can only pack values in the same texel if\n    // they are from adjacent pairs of rows/cols within the same batch. So if a\n    // tensor has 3 rows, we pretend it has 4 rows in order to account for the\n    // fact that the texels containing the third row are half empty.\n    logShape = logShape.map(\n        (d, i) => i >= logShape.length - 2 ?\n            util.nearestLargerEven(logShape[i]) :\n            logShape[i]);\n\n    // Packed texture height is at least 2 (the channel height of a single\n    // texel).\n    if (logShape.length === 1) {\n      logShape = [2, logShape[0]];\n    }\n  }\n\n  // If logical shape is 2, we don't squeeze, since we want to match physical.\n  if (logShape.length !== 2) {\n    const squeezeResult = util.squeezeShape(logShape);\n    logShape = squeezeResult.newShape;\n  }\n\n  let size = util.sizeFromShape(logShape);\n  if (logShape.length <= 1 && size <= maxTexSize) {\n    return [1, size];\n  } else if (\n      logShape.length === 2 && logShape[0] <= maxTexSize &&\n      logShape[1] <= maxTexSize) {\n    return logShape as [number, number];\n  } else if (\n      logShape.length === 3 && logShape[0] * logShape[1] <= maxTexSize &&\n      logShape[2] <= maxTexSize) {\n    return [logShape[0] * logShape[1], logShape[2]];\n  } else if (\n      logShape.length === 3 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2]];\n  } else if (\n      logShape.length === 4 &&\n      logShape[0] * logShape[1] * logShape[2] <= maxTexSize &&\n      logShape[3] <= maxTexSize) {\n    return [logShape[0] * logShape[1] * logShape[2], logShape[3]];\n  } else if (\n      logShape.length === 4 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] * logShape[3] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2] * logShape[3]];\n  } else {\n    if (isPacked) {\n      // For packed textures size equals the number of channels required to\n      // accommodate the texture data. However in order to squarify such that\n      // inner dimensions stay even, we rewrite size to equal the number of\n      // texels. Then in the return statement we rehydrate the squarified\n      // dimensions to channel units.\n\n      const batchDim = getBatchDim(logShape);\n      let rows = 2, cols = 2;\n      if (logShape.length) {\n        [rows, cols] = getRowsCols(logShape);\n      }\n      size = batchDim * (rows / 2) * (cols / 2);\n      return util.sizeToSquarishShape(size).map(d => d * 2) as [number, number];\n    }\n    return util.sizeToSquarishShape(size);\n  }\n}\n\nfunction isEven(n: number): boolean {\n  return n % 2 === 0;\n}\n\n/**\n * This determines whether reshaping a packed texture requires rearranging\n * the data within the texture, assuming 2x2 packing.\n */\nexport function isReshapeFree(shape1: number[], shape2: number[]): boolean {\n  shape1 = shape1.slice(-2);\n  shape2 = shape2.slice(-2);\n\n  if (util.arraysEqual(shape1, shape2)) {\n    return true;\n  }\n\n  if (!shape1.length || !shape2.length) {  // One of the shapes is a scalar.\n    return true;\n  }\n\n  if (shape1[0] === 0 || shape1[1] === 0 || shape2[0] === 0 ||\n      shape2[1] === 0) {\n    return true;\n  }\n\n  if (shape1.length !== shape2.length) {  // One of the shapes is a vector.\n    const shape1Cols = shape1.slice(-1)[0];\n    const shape2Cols = shape2.slice(-1)[0];\n    if (shape1Cols === shape2Cols) {\n      return true;\n    }\n\n    if (isEven(shape1Cols) && isEven(shape2Cols) &&\n        (shape1[0] === 1 || shape2[0] === 1)) {\n      return true;\n    }\n  }\n  return shape1[1] === shape2[1] && isEven(shape1[0]) && isEven(shape2[0]);\n}\n\n// We cache webgl params because the environment gets reset between\n// unit tests and we don't want to constantly query the WebGLContext for\n// MAX_TEXTURE_SIZE.\nlet MAX_TEXTURE_SIZE: number;\nlet MAX_TEXTURES_IN_SHADER: number;\n\nexport function getWebGLMaxTextureSize(webGLVersion: number): number {\n  if (MAX_TEXTURE_SIZE == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURE_SIZE = gl.getParameter(gl.MAX_TEXTURE_SIZE);\n  }\n  return MAX_TEXTURE_SIZE;\n}\n\nexport function resetMaxTextureSize() {\n  MAX_TEXTURE_SIZE = null;\n}\nexport function resetMaxTexturesInShader() {\n  MAX_TEXTURES_IN_SHADER = null;\n}\n\nexport function getMaxTexturesInShader(webGLVersion: number): number {\n  if (MAX_TEXTURES_IN_SHADER == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURES_IN_SHADER = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS);\n  }\n  // We cap at 16 to avoid spurious runtime \"memory exhausted\" error.\n  return Math.min(16, MAX_TEXTURES_IN_SHADER);\n}\n\nexport function getWebGLDisjointQueryTimerVersion(webGLVersion: number):\n    number {\n  if (webGLVersion === 0) {\n    return 0;\n  }\n\n  let queryTimerVersion: number;\n  const gl = getWebGLContext(webGLVersion);\n\n  if (hasExtension(gl, 'EXT_disjoint_timer_query_webgl2') &&\n      webGLVersion === 2) {\n    queryTimerVersion = 2;\n  } else if (hasExtension(gl, 'EXT_disjoint_timer_query')) {\n    queryTimerVersion = 1;\n  } else {\n    queryTimerVersion = 0;\n  }\n  return queryTimerVersion;\n}\n\nexport function hasExtension(gl: WebGLRenderingContext, extensionName: string) {\n  const ext = gl.getExtension(extensionName);\n  return ext != null;\n}\n\nexport function isWebGLVersionEnabled(webGLVersion: 1|2) {\n  try {\n    const gl = getWebGLContext(webGLVersion);\n    if (gl != null) {\n      return true;\n    }\n  } catch (e) {\n    return false;\n  }\n  return false;\n}\n\nexport function isCapableOfRenderingToFloatTexture(webGLVersion: number):\n    boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n  } else {\n    if (!hasExtension(gl, 'EXT_color_buffer_float')) {\n      return false;\n    }\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\n/**\n * Check if we can download values from a float/half-float texture.\n *\n * Note that for performance reasons we use binding a texture to a framebuffer\n * as a proxy for ability to download float values later using readPixels. The\n * texture params of this texture will not match those in readPixels exactly\n * but if we are unable to bind some kind of float texture to the frameBuffer\n * then we definitely will not be able to read float values from it.\n */\nexport function isDownloadFloatTextureEnabled(webGLVersion: number): boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n    if (!hasExtension(gl, 'WEBGL_color_buffer_float')) {\n      return false;\n    }\n  } else {\n    if (hasExtension(gl, 'EXT_color_buffer_float')) {\n      return createFloatTextureAndBindToFramebuffer(gl);\n    }\n\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (hasExtension(gl, COLOR_BUFFER_HALF_FLOAT)) {\n      const textureHalfFloatExtension =\n          gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      return createHalfFloatTextureAndBindToFramebuffer(\n          gl, textureHalfFloatExtension);\n    }\n\n    return false;\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\nfunction createFloatTextureAndBindToFramebuffer(gl: WebGLRenderingContext):\n    boolean {\n  const texConfig = getTextureConfig(gl);\n\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nfunction createHalfFloatTextureAndBindToFramebuffer(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension: any): boolean {\n  const texConfig = getTextureConfig(gl, textureHalfFloatExtension);\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatHalfFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeHalfFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nexport function isWebGLFenceEnabled(webGLVersion: number) {\n  if (webGLVersion !== 2) {\n    return false;\n  }\n  const gl = getWebGLContext(webGLVersion);\n\n  // tslint:disable-next-line:no-any\n  const isEnabled = (gl as any).fenceSync != null;\n  return isEnabled;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as device_util from '../../device_util';\nimport {env} from '../../environment';\n\nimport * as webgl_util from './webgl_util';\n\nconst ENV = env();\n\n/**\n * This file contains WebGL-specific flag registrations.\n */\n\n/**\n * True if WebGL is supported.\n */\nENV.registerFlag('HAS_WEBGL', () => ENV.getNumber('WEBGL_VERSION') > 0);\n\n/** 0: No WebGL, 1: WebGL 1.0, 2: WebGL 2.0. */\nENV.registerFlag('WEBGL_VERSION', () => {\n  if (webgl_util.isWebGLVersionEnabled(2)) {\n    return 2;\n  } else if (webgl_util.isWebGLVersionEnabled(1)) {\n    return 1;\n  }\n  return 0;\n});\n\nENV.registerFlag(\n    'WEBGL_BUFFER_SUPPORTED', () => ENV.get('WEBGL_VERSION') === 2);\n\n/** Whether the WebGL backend will sometimes forward ops to the CPU. */\nENV.registerFlag('WEBGL_CPU_FORWARD', () => true);\n\n/** Whether the WebGL backend will always use f16 textures for rendering. */\nENV.registerFlag('WEBGL_FORCE_F16_TEXTURES', () => false);\n\n/** Whether to turn all packing related flags on. */\nENV.registerFlag('WEBGL_PACK', () => ENV.getBool('HAS_WEBGL'));\n\n/** Whether we will pack the batchnormalization op. */\nENV.registerFlag('WEBGL_PACK_NORMALIZATION', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the clip op. */\nENV.registerFlag('WEBGL_PACK_CLIP', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the depthwise conv op. */\n// TODO: https://github.com/tensorflow/tfjs/issues/1679\nENV.registerFlag('WEBGL_PACK_DEPTHWISECONV', () => false);\n\n/** Whether we will pack binary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_BINARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack unary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_UNARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack array ops. */\nENV.registerFlag(\n    'WEBGL_PACK_ARRAY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack image ops. */\nENV.registerFlag(\n    'WEBGL_PACK_IMAGE_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack reduce ops. */\nENV.registerFlag('WEBGL_PACK_REDUCE', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether packed WebGL kernels lazily unpack their outputs. */\nENV.registerFlag('WEBGL_LAZILY_UNPACK', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will use the im2col algorithm to speed up convolutions. */\nENV.registerFlag('WEBGL_CONV_IM2COL', () => ENV.getBool('WEBGL_PACK'));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURE_SIZE',\n    () => webgl_util.getWebGLMaxTextureSize(ENV.getNumber('WEBGL_VERSION')));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURES_IN_SHADER',\n    () => webgl_util.getMaxTexturesInShader(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * The disjoint_query_timer extension version.\n * 0: disabled, 1: EXT_disjoint_timer_query, 2:\n * EXT_disjoint_timer_query_webgl2.\n * In Firefox with WebGL 2.0,\n * EXT_disjoint_timer_query_webgl2 is not available, so we must use the\n * WebGL 1.0 extension.\n */\nENV.registerFlag('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION', () => {\n  const webGLVersion = ENV.getNumber('WEBGL_VERSION');\n\n  if (webGLVersion === 0) {\n    return 0;\n  }\n  return webgl_util.getWebGLDisjointQueryTimerVersion(webGLVersion);\n});\n\n/**\n * Whether the timer object from the disjoint_query_timer extension gives\n * timing information that is reliable.\n */\nENV.registerFlag(\n    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE',\n    () => ENV.getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0 &&\n        !device_util.isMobile());\n\n/**\n * Whether the device is physically capable of rendering to float32 textures.\n */\nENV.registerFlag(\n    'WEBGL_RENDER_FLOAT32_CAPABLE',\n    () => webgl_util.isCapableOfRenderingToFloatTexture(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Whether rendering to float32 textures is enabled. If disabled, renders to\n * float16 textures.\n */\nENV.registerFlag('WEBGL_RENDER_FLOAT32_ENABLED', () => {\n  return ENV.getBool('WEBGL_FORCE_F16_TEXTURES') ?\n      false :\n      ENV.getBool('WEBGL_RENDER_FLOAT32_CAPABLE');\n});\n\n/**\n * Whether downloading float textures is enabled (16 or 32 bit). If disabled,\n * uses IEEE 754 encoding of the float32 values to 4 uint8 when downloading.\n */\nENV.registerFlag(\n    'WEBGL_DOWNLOAD_FLOAT_ENABLED',\n    () => webgl_util.isDownloadFloatTextureEnabled(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/** Whether the fence API is available. */\nENV.registerFlag(\n    'WEBGL_FENCE_API_ENABLED',\n    () => webgl_util.isWebGLFenceEnabled(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Tensors with size <= than this will be uploaded as uniforms, not textures.\n */\nENV.registerFlag('WEBGL_SIZE_UPLOAD_UNIFORM', () => {\n  // Use uniform uploads only when 32bit floats are supported. In\n  // 16bit\n  // environments there are problems with comparing a 16bit texture value\n  // with a 32bit uniform value.\n  const useUniforms = ENV.getBool('WEBGL_RENDER_FLOAT32_ENABLED');\n  return useUniforms ? 4 : 0;\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from './backends/backend';\nimport {ENGINE, Engine, MemoryInfo, ProfileInfo, ScopeFn, TimingInfo} from './engine';\nimport {env} from './environment';\n\nimport {Platform} from './platforms/platform';\nimport {setDeprecationWarningFn, Tensor} from './tensor';\nimport {TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\n\n/**\n * Enables production mode which disables correctness checks in favor of\n * performance.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableProdMode(): void {\n  env().set('PROD', true);\n}\n\n/**\n * Enables debug mode which will log information about all executed kernels:\n * the elapsed time of the kernel execution, as well as the rank, shape, and\n * size of the output tensor.\n *\n * Debug mode will significantly slow down your application as it will\n * download the result of every operation to the CPU. This should not be used in\n * production. Debug mode does not affect the timing information of the kernel\n * execution as we do not measure download time in the kernel execution time.\n *\n * See also: `tf.profile`, `tf.memory`.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableDebugMode(): void {\n  env().set('DEBUG', true);\n}\n\n/** Globally disables deprecation warnings */\nexport function disableDeprecationWarnings(): void {\n  env().set('DEPRECATION_WARNINGS_ENABLED', false);\n  console.warn(`TensorFlow.js deprecation warnings have been disabled.`);\n}\n\n/** Warn users about deprecated functionality. */\nexport function deprecationWarn(msg: string) {\n  if (env().getBool('DEPRECATION_WARNINGS_ENABLED')) {\n    console.warn(\n        msg + ' You can disable deprecation warnings with ' +\n        'tf.disableDeprecationWarnings().');\n  }\n}\nsetDeprecationWarningFn(deprecationWarn);\n\n/**\n * Dispose all variables kept in backend engine.\n */\n/** @doc {heading: 'Environment'} */\nexport function disposeVariables(): void {\n  ENGINE.disposeVariables();\n}\n\n/**\n * It returns the global engine that keeps track of all tensors and backends.\n */\n/** @doc {heading: 'Environment'} */\nexport function engine(): Engine {\n  return ENGINE;\n}\n\n/**\n * Returns memory info at the current time in the program. The result is an\n * object with the following properties:\n *\n * - `numBytes`: Number of bytes allocated (undisposed) at this time.\n * - `numTensors`: Number of unique tensors allocated.\n * - `numDataBuffers`: Number of unique data buffers allocated\n *   (undisposed) at this time, which is ≤ the number of tensors\n *   (e.g. `a.reshape(newShape)` makes a new Tensor that shares the same\n *   data buffer with `a`).\n * - `unreliable`: True if the memory usage is unreliable. See `reasons` when\n *    `unreliable` is true.\n * - `reasons`: `string[]`, reasons why the memory is unreliable, present if\n *    `unreliable` is true.\n *\n * WebGL Properties:\n * - `numBytesInGPU`: Number of bytes allocated (undisposed) in the GPU only at\n *     this time.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function memory(): MemoryInfo {\n  return ENGINE.memory();\n}\n\n/**\n * Executes the provided function `f()` and returns a promise that resolves\n * with information about the function's memory use:\n * - `newBytes`: the number of new bytes allocated\n * - `newTensors`: the number of new tensors created\n * - `peakBytes`: the peak number of bytes allocated\n * - `kernels`: an array of objects for each kernel involved that reports\n * their input and output shapes, number of bytes used, and number of new\n * tensors created.\n *\n * ```js\n * const profile = await tf.profile(() => {\n *   const x = tf.tensor1d([1, 2, 3]);\n *   let x2 = x.square();\n *   x2.dispose();\n *   x2 = x.square();\n *   x2.dispose();\n *   return x;\n * });\n *\n * console.log(`newBytes: ${profile.newBytes}`);\n * console.log(`newTensors: ${profile.newTensors}`);\n * console.log(`byte usage over all kernels: ${profile.kernels.map(k =>\n * k.totalBytesSnapshot)}`);\n * ```\n *\n */\n/** @doc {heading: 'Performance', subheading: 'Profile'} */\nexport function profile(f: () => TensorContainer): Promise<ProfileInfo> {\n  return ENGINE.profile(f);\n}\n\n/**\n * Executes the provided function `fn` and after it is executed, cleans up all\n * intermediate tensors allocated by `fn` except those returned by `fn`.\n * `fn` must not return a Promise (async functions not allowed). The returned\n * result can be a complex object.\n *\n * Using this method helps avoid memory leaks. In general, wrap calls to\n * operations in `tf.tidy` for automatic memory cleanup.\n *\n * NOTE: Variables do *not* get cleaned up when inside a tidy(). If you want to\n * dispose variables, please use `tf.disposeVariables` or call dispose()\n * directly on variables.\n *\n * ```js\n * // y = 2 ^ 2 + 1\n * const y = tf.tidy(() => {\n *   // a, b, and one will be cleaned up when the tidy ends.\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *   const b = a.square();\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * y.print();\n * ```\n *\n * @param nameOrFn The name of the closure, or the function to execute.\n *     If a name is provided, the 2nd argument should be the function.\n *     If debug mode is on, the timing and the memory usage of the function\n *     will be tracked and displayed on the console using the provided name.\n * @param fn The function to execute.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function tidy<T extends TensorContainer>(\n    nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>): T {\n  return ENGINE.tidy(nameOrFn, fn);\n}\n\n/**\n * Disposes any `tf.Tensor`s found within the provided object.\n *\n * @param container an object that may be a `tf.Tensor` or may directly\n *     contain `tf.Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. If\n *     the object is not a `tf.Tensor` or does not contain `Tensors`, nothing\n *     happens. In general it is safe to pass any object here, except that\n *     `Promise`s are not supported.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function dispose(container: TensorContainer) {\n  const tensors = getTensorsInContainer(container);\n  tensors.forEach(tensor => tensor.dispose());\n}\n\n/**\n * Keeps a `tf.Tensor` generated inside a `tf.tidy` from being disposed\n * automatically.\n *\n * ```js\n * let b;\n * const y = tf.tidy(() => {\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *\n *   // b will not be cleaned up by the tidy. a and one will be cleaned up\n *   // when the tidy ends.\n *   b = tf.keep(a.square());\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * console.log('y:');\n * y.print();\n * console.log('b:');\n * b.print();\n * ```\n *\n * @param result The tensor to keep from being disposed.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function keep<T extends Tensor>(result: T): T {\n  return ENGINE.keep(result);\n}\n\n/**\n * Executes `f()` and returns a promise that resolves with timing\n * information.\n *\n * The result is an object with the following properties:\n *\n * - `wallMs`: Wall execution time.\n * - `kernelMs`: Kernel execution time, ignoring data transfer. If using the\n * WebGL backend and the query timer extension is not available, this will\n * return an error object.\n * - On `WebGL` The following additional properties exist:\n *   - `uploadWaitMs`: CPU blocking time on texture uploads.\n *   - `downloadWaitMs`: CPU blocking time on texture downloads (readPixels).\n *\n * ```js\n * const x = tf.randomNormal([20, 20]);\n * const time = await tf.time(() => x.matMul(x));\n *\n * console.log(`kernelMs: ${time.kernelMs}, wallTimeMs: ${time.wallMs}`);\n * ```\n *\n * @param f The function to execute and time.\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nexport function time(f: () => void): Promise<TimingInfo> {\n  return ENGINE.time(f);\n}\n\n/**\n * Sets the backend (cpu, webgl, wasm, etc) responsible for creating tensors and\n * executing operations on those tensors. Returns a promise that resolves\n * to a boolean if the backend initialization was successful.\n *\n * Note this disposes the current backend, if any, as well as any tensors\n * associated with it. A new backend is initialized, even if it is of the\n * same type as the previous one.\n *\n * @param backendName The name of the backend. Currently supports\n *     `'webgl'|'cpu'` in the browser, `'tensorflow'` under node.js\n *     (requires tfjs-node), and `'wasm'` (requires tfjs-backend-wasm).\n */\n/** @doc {heading: 'Backends'} */\nexport function setBackend(backendName: string): Promise<boolean> {\n  return ENGINE.setBackend(backendName);\n}\n\n/**\n * Returns a promise that resolves when the currently selected backend (or the\n * highest priority one) has initialized. Await this promise when you are using\n * a backend that has async initialization.\n */\n/** @doc {heading: 'Backends'} */\nexport function ready(): Promise<void> {\n  return ENGINE.ready();\n}\n\n/**\n * Returns the current backend name (cpu, webgl, etc). The backend is\n * responsible for creating tensors and executing operations on those tensors.\n */\n/** @doc {heading: 'Backends'} */\nexport function getBackend(): string {\n  return ENGINE.backendName;\n}\n\n/**\n * Removes a backend and the registered factory.\n */\n/** @doc {heading: 'Backends'} */\nexport function removeBackend(name: string): void {\n  ENGINE.removeBackend(name);\n}\n\n/**\n * Finds the backend registered under the provided name. Returns null if the\n * name is not in the registry, or the registration hasn't finished yet.\n */\nexport function findBackend(name: string): KernelBackend {\n  return ENGINE.findBackend(name);\n}\n\n/**\n * Finds the backend factory registered under the provided name. Returns a\n * function that produces a new backend when called. Returns null if the name\n * is not in the registry.\n */\nexport function findBackendFactory(name: string): () =>\n    KernelBackend | Promise<KernelBackend> {\n  return ENGINE.findBackendFactory(name);\n}\n\n/**\n * Registers a global backend. The registration should happen when importing\n * a module file (e.g. when importing `backend_webgl.ts`), and is used for\n * modular builds (e.g. custom tfjs bundle with only webgl support).\n *\n * @param factory The backend factory function. When called, it should\n * return a backend instance, or a promise of an instance.\n * @param priority The priority of the backend (higher = more important).\n *     In case multiple backends are registered, the priority is used to find\n *     the best backend. Defaults to 1.\n * @return False if there is already a registered backend under this name, true\n *     if not.\n */\n/** @doc {heading: 'Backends'} */\nexport function registerBackend(\n    name: string, factory: () => KernelBackend | Promise<KernelBackend>,\n    priority = 1): boolean {\n  return ENGINE.registerBackend(name, factory, priority);\n}\n\n/**\n * Gets the current backend. If no backends have been initialized, this will\n * attempt to initialize the best backend. Will throw an error if the highest\n * priority backend has async initialization, in which case, you should call\n * 'await tf.ready()' before running other code.\n */\n/** @doc {heading: 'Backends'} */\nexport function backend(): KernelBackend {\n  return ENGINE.backend;\n}\n\n/**\n * Sets the global platform.\n *\n * @param platformName The name of this platform.\n * @param platform A platform implementation.\n */\nexport function setPlatform(platformName: string, platform: Platform) {\n  env().setPlatform(platformName, platform);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nexport function warn(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.warn(...msg);\n  }\n}\n\nexport function log(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.log(...msg);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {env} from './environment';\nimport {Tensor} from './tensor';\nimport {DataType, TensorLike} from './types';\nimport {assert, flatten, inferDtype, isTypedArray, toTypedArray} from './util';\n\nexport function inferShape(val: TensorLike, dtype?: DataType): number[] {\n  let firstElem: typeof val = val;\n\n  if (isTypedArray(val)) {\n    return dtype === 'string' ? [] : [val.length];\n  }\n  if (!Array.isArray(val)) {\n    return [];  // Scalar.\n  }\n  const shape: number[] = [];\n\n  while (Array.isArray(firstElem) ||\n         isTypedArray(firstElem) && dtype !== 'string') {\n    shape.push(firstElem.length);\n    firstElem = firstElem[0];\n  }\n  if (Array.isArray(val) &&\n      env().getBool('TENSORLIKE_CHECK_SHAPE_CONSISTENCY')) {\n    deepAssertShapeConsistency(val, shape, []);\n  }\n\n  return shape;\n}\n\nfunction deepAssertShapeConsistency(\n    val: TensorLike, shape: number[], indices: number[]) {\n  indices = indices || [];\n  if (!(Array.isArray(val)) && !isTypedArray(val)) {\n    assert(\n        shape.length === 0,\n        () => `Element arr[${indices.join('][')}] is a primitive, ` +\n            `but should be an array/TypedArray of ${shape[0]} elements`);\n    return;\n  }\n  assert(\n      shape.length > 0,\n      () => `Element arr[${indices.join('][')}] should be a primitive, ` +\n          `but is an array of ${val.length} elements`);\n  assert(\n      val.length === shape[0],\n      () => `Element arr[${indices.join('][')}] should have ${shape[0]} ` +\n          `elements, but has ${val.length} elements`);\n  const subShape = shape.slice(1);\n  for (let i = 0; i < val.length; ++i) {\n    deepAssertShapeConsistency(val[i], subShape, indices.concat(i));\n  }\n}\n\nfunction assertDtype(\n    expectedDtype: DataType|'numeric', actualDType: DataType, argName: string,\n    functionName: string) {\n  if (expectedDtype == null) {\n    return;\n  }\n  if (expectedDtype !== 'numeric' && expectedDtype !== actualDType ||\n      expectedDtype === 'numeric' && actualDType === 'string') {\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must ` +\n        `be ${expectedDtype} tensor, but got ${actualDType} tensor`);\n  }\n}\n\nexport function convertToTensor<T extends Tensor>(\n    x: T|TensorLike, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T {\n  if (x instanceof Tensor) {\n    assertDtype(parseAsDtype, x.dtype, argName, functionName);\n    return x;\n  }\n  let inferredDtype = inferDtype(x);\n  // If the user expects a bool/int/float, use that info to update the\n  // inferredDtype when it is not a string.\n  if (inferredDtype !== 'string' &&\n      ['bool', 'int32', 'float32'].indexOf(parseAsDtype) >= 0) {\n    inferredDtype = parseAsDtype as DataType;\n  }\n  assertDtype(parseAsDtype, inferredDtype, argName, functionName);\n\n  if ((x == null) ||\n      (!isTypedArray(x) && !Array.isArray(x) && typeof x !== 'number' &&\n       typeof x !== 'boolean' && typeof x !== 'string')) {\n    const type = x == null ? 'null' : (x as {}).constructor.name;\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must be a ` +\n        `Tensor or TensorLike, but got '${type}'`);\n  }\n  const inferredShape = inferShape(x, inferredDtype);\n  if (!isTypedArray(x) && !Array.isArray(x)) {\n    x = [x] as number[];\n  }\n  const skipTypedArray = true;\n  const values = inferredDtype !== 'string' ?\n      toTypedArray(x, inferredDtype as DataType, env().getBool('DEBUG')) :\n      flatten(x as string[], [], skipTypedArray) as string[];\n  return ENGINE.makeTensor(values, inferredShape, inferredDtype) as T;\n}\n\nexport function convertToTensorArray<T extends Tensor>(\n    arg: Array<T|TensorLike>, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T[] {\n  if (!Array.isArray(arg)) {\n    throw new Error(\n        `Argument ${argName} passed to ${functionName} must be a ` +\n        '`Tensor[]` or `TensorLike[]`');\n  }\n  const tensors = arg as T[];\n  return tensors.map(\n      (t, i) => convertToTensor(t, `${argName}[${i}]`, functionName),\n      parseAsDtype);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\n/**\n * Returns true if the axis specifies the inner most dimensions of the\n * array.\n */\nexport function axesAreInnerMostDims(axes: number[], rank: number): boolean {\n  for (let i = 0; i < axes.length; ++i) {\n    if (axes[axes.length - i - 1] !== rank - 1 - i) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function combineLocations(\n    outputLoc: number[], reduceLoc: number[], axes: number[]): number[] {\n  const rank = outputLoc.length + reduceLoc.length;\n  const loc = [];\n  let outIdx = 0;\n  let reduceIdx = 0;\n    for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      loc.push(outputLoc[outIdx++]);\n    } else {\n      loc.push(reduceLoc[reduceIdx++]);\n    }\n  }\n  return loc;\n}\n\nexport function computeOutAndReduceShapes(\n    aShape: number[], axes: number[]): [number[], number[]] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      outShape.push(aShape[dim]);\n    }\n  }\n  const reduceShape = axes.map(dim => aShape[dim]);\n  return [outShape, reduceShape];\n}\n\nexport function expandShapeToKeepDim(\n    shape: number[], axes: number[]): number[] {\n  const reduceSubShape = axes.map(x => 1);\n  return combineLocations(shape, reduceSubShape, axes);\n}\n\nexport function assertAxesAreInnerMostDims(\n    msg: string, axes: number[], rank: number): void {\n  util.assert(\n      axesAreInnerMostDims(axes, rank),\n      () => `${msg} supports only inner-most axes for now. ` +\n          `Got axes ${axes} and rank-${rank} input.`);\n}\n\n/**\n * Returns the axes permutation to be used with `tf.transpose`, if such\n * permutation is necessary. Otherwise it returns null. This method is used by\n * operations that operate only on inner-most axes.\n */\nexport function getAxesPermutation(axes: number[], rank: number): number[]|\n    null {\n  if (axesAreInnerMostDims(axes, rank)) {\n    return null;\n  }\n  const result: number[] = [];\n  for (let i = 0; i < rank; ++i) {\n    if (axes.indexOf(i) === -1) {\n      result.push(i);\n    }\n  }\n  axes.forEach(axis => result.push(axis));\n  return result;\n}\n\n/** Returns the axes permutation that undoes the original permutation. */\nexport function getUndoAxesPermutation(axes: number[]): number[] {\n  return axes.map((axis, i) => [i, axis])\n      .sort((a, b) => a[1] - b[1])\n      .map(x => x[0]);\n}\n\nexport function getInnerMostAxes(numAxes: number, rank: number): number[] {\n  const res: number[] = [];\n  for (let i = rank - numAxes; i < rank; ++i) {\n    res.push(i);\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\nexport function assertParamsConsistent(shapes: number[][], axis: number) {\n  const rank = shapes[0].length;\n  shapes.forEach((shape, i) => {\n    util.assert(\n        shape.length === rank,\n        () =>\n            `Error in concat${rank}D: rank of tensors[${i}] must be the same ` +\n            `as the rank of the rest (${rank})`);\n  });\n\n  util.assert(\n      axis >= 0 && axis < rank,\n      () => `Error in concat${rank}D: axis must be between 0 and ${rank - 1}.`);\n\n  const firstShape = shapes[0];\n  shapes.forEach((shape, i) => {\n    for (let r = 0; r < rank; r++) {\n      util.assert(\n          (r === axis) || (shape[r] === firstShape[r]),\n          () => `Error in concat${rank}D: Shape of tensors[${i}] (${shape}) ` +\n              `does not match the shape of the rest (${firstShape}) ` +\n              `along the non-concatenated axis ${i}.`);\n    }\n  });\n}\n\nexport function computeOutShape(shapes: number[][], axis: number): number[] {\n  const outputShape = shapes[0].slice();\n  for (let i = 1; i < shapes.length; i++) {\n    outputShape[axis] += shapes[i][axis];\n  }\n  return outputShape;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\n\n/**\n * Used for wrapping functions that perform math operations on\n * Tensors. The function will be wrapped in a named scope that cleans all\n * memory usage after the function is done.\n */\nexport function op<T extends Function>(f: {[name: string]: T}): T {\n  const keys = Object.keys(f);\n  if (keys.length !== 1) {\n    throw new Error(\n        `Please provide an object with a single key ` +\n        `(operation name) mapping to a function. Got an object with ` +\n        `${keys.length} keys.`);\n  }\n\n  let opName = keys[0];\n  const fn = f[opName];\n\n  // Strip the underscore from the end of the function name.\n  if (opName.endsWith('_')) {\n    opName = opName.substring(0, opName.length - 1);\n  }\n\n  // tslint:disable-next-line:no-any\n  const f2 = (...args: any[]) => {\n    ENGINE.startScope(opName);\n    try {\n      const result = fn(...args);\n      if (result instanceof Promise) {\n        console.error('Cannot return a Promise inside of tidy.');\n      }\n      ENGINE.endScope(result);\n      return result;\n    } catch (ex) {\n      ENGINE.endScope(null);\n      throw ex;\n    }\n  };\n  Object.defineProperty(f2, 'name', {value: opName, configurable: true});\n\n  // tslint:disable-next-line:no-any\n  return f2 as any as T;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Converts two real numbers to a complex number.\n *\n * Given a tensor `real` representing the real part of a complex number, and a\n * tensor `imag` representing the imaginary part of a complex number, this\n * operation returns complex numbers elementwise of the form [r0, i0, r1, i1],\n * where r represents the real part and i represents the imag part.\n *\n * The input tensors real and imag must have the same shape.\n *\n * ```js\n * const real = tf.tensor1d([2.25, 3.25]);\n * const imag = tf.tensor1d([4.75, 5.75]);\n * const complex = tf.complex(real, imag);\n *\n * complex.print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction complex_<T extends Tensor>(real: T|TensorLike, imag: T|TensorLike): T {\n  const $real = convertToTensor(real, 'real', 'complex');\n  const $imag = convertToTensor(imag, 'imag', 'complex');\n  util.assertShapesMatch(\n      $real.shape, $imag.shape,\n      `real and imag shapes, ${$real.shape} and ${$imag.shape}, ` +\n          `must match in call to tf.complex().`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.complex($real, $imag), {$real, $imag});\n}\n\n/**\n * Returns the real part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the real part of each element in input considered as a complex number.\n *\n * If the input is real, it simply makes a clone.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.real(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction real_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'real');\n\n  return ENGINE.runKernelFunc(backend => backend.real($input), {$input});\n}\n\n/**\n * Returns the imaginary part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the imaginary part of each element in input considered as a complex number.\n * If input is real, a tensor of all zeros is returned.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.imag(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction imag_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'imag');\n\n  return ENGINE.runKernelFunc(backend => backend.imag($input), {$input});\n}\n\nexport const complex = op({complex_});\nexport const real = op({real_});\nexport const imag = op({imag_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {env} from '../environment';\n\nimport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, Tensor6D, Variable} from '../tensor';\nimport {convertToTensor, inferShape} from '../tensor_util_env';\nimport {TensorLike, TensorLike1D, TensorLike2D, TensorLike3D, TensorLike4D, TensorLike5D, TensorLike6D, TypedArray} from '../types';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {assert, assertNonNegativeIntegerDimensions, assertNonNull, flatten, inferDtype, isTypedArray, makeOnesTypedArray, makeZerosTypedArray, sizeFromShape, toTypedArray} from '../util';\nimport {complex, imag, real} from './complex_ops';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with the provided values, shape and dtype.\n *\n * ```js\n * // Pass an array of values to create a vector.\n * tf.tensor([1, 2, 3, 4]).print();\n * ```\n *\n * ```js\n * // Pass a nested array of values to make a matrix or a higher\n * // dimensional tensor.\n * tf.tensor([[1, 2], [3, 4]]).print();\n * ```\n *\n * ```js\n * // Pass a flat array and specify a shape yourself.\n * tf.tensor([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`. If the values are strings,\n *     they will be encoded as utf-8 and kept as `Uint8Array[]`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor<R extends Rank>(\n    values: TensorLike, shape?: ShapeMap[R], dtype?: DataType): Tensor<R> {\n  const inferredShape = inferShape(values, dtype);\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor<R>;\n}\n\n/** This is shared code across all tensor creation methods. */\nfunction makeTensor(\n    values: TensorLike, shape: number[], inferredShape: number[],\n    dtype?: DataType): Tensor {\n  if (dtype == null) {\n    dtype = inferDtype(values);\n  }\n  if (dtype === 'complex64') {\n    throw new Error(\n        `Cannot construct a complex64 tensor directly. ` +\n        `Please use tf.complex(real, imag).`);\n  }\n  if (!isTypedArray(values) && !Array.isArray(values) &&\n      typeof values !== 'number' && typeof values !== 'boolean' &&\n      typeof values !== 'string') {\n    throw new Error(\n        'values passed to tensor(values) must be a number/boolean/string or ' +\n        'an array of numbers/booleans/strings, or a TypedArray');\n  }\n  if (shape != null) {\n    assertNonNegativeIntegerDimensions(shape);\n\n    const providedSize = sizeFromShape(shape);\n    const inferredSize = sizeFromShape(inferredShape);\n    assert(\n        providedSize === inferredSize,\n        () =>\n            `Based on the provided shape, [${shape}], the tensor should have ` +\n            `${providedSize} values but has ${inferredSize}`);\n\n    for (let i = 0; i < inferredShape.length; ++i) {\n      const inferred = inferredShape[i];\n      const flatDimsDontMatch = i === inferredShape.length - 1 ?\n          inferred !== sizeFromShape(shape.slice(i)) :\n          true;\n      assert(\n          inferredShape[i] === shape[i] || !flatDimsDontMatch,\n          () => `Error creating a new Tensor. Inferred shape ` +\n              `(${inferredShape}) does not match the provided ` +\n              `shape (${shape}). `);\n    }\n  }\n\n  if (!isTypedArray(values) && !Array.isArray(values)) {\n    values = [values] as number[];\n  }\n\n  shape = shape || inferredShape;\n  values = dtype !== 'string' ?\n      toTypedArray(values, dtype, env().getBool('DEBUG')) :\n      flatten(values as string[], [], true) as string[];\n  return ENGINE.makeTensor(values as TypedArray, shape, dtype);\n}\n\n/**\n * Creates rank-0 `tf.Tensor` (scalar) with the provided value and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.scalar` as it makes the code more readable.\n *\n * ```js\n * tf.scalar(3.14).print();\n * ```\n *\n * @param value The value of the scalar.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction scalar(\n    value: number|boolean|string|Uint8Array, dtype?: DataType): Scalar {\n  if (((isTypedArray(value) && dtype !== 'string') || Array.isArray(value)) &&\n      dtype !== 'complex64') {\n    throw new Error(\n        'Error creating a new Scalar: value must be a primitive ' +\n        '(number|boolean|string)');\n  }\n  if (dtype === 'string' && isTypedArray(value) &&\n      !(value instanceof Uint8Array)) {\n    throw new Error(\n        'When making a scalar from encoded string, ' +\n        'the value must be `Uint8Array`.');\n  }\n  const shape: number[] = [];\n  const inferredShape: number[] = [];\n  return makeTensor(value, shape, inferredShape, dtype) as Scalar;\n}\n\n/**\n * Creates rank-1 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor1d` as it makes the code more readable.\n *\n * ```js\n * tf.tensor1d([1, 2, 3]).print();\n * ```\n *\n * @param values The values of the tensor. Can be array of numbers,\n *     or a `TypedArray`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor1d(values: TensorLike1D, dtype?: DataType): Tensor1D {\n  assertNonNull(values);\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 1) {\n    throw new Error('tensor1d() requires values to be a flat/TypedArray');\n  }\n  const shape: number[] = null;\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor1D;\n}\n\n/**\n * Creates rank-2 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor2d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor2d([[1, 2], [3, 4]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided, it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor2d(\n    values: TensorLike2D, shape?: [number, number],\n    dtype?: DataType): Tensor2D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 2) {\n    throw new Error('tensor2d() requires shape to have two numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 2 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor2d() requires values to be number[][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor2d() requires shape to be provided when `values` ' +\n        'are a flat/TypedArray');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor2D;\n}\n\n/**\n * Creates rank-3 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor3d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor3d([[[1], [2]], [[3], [4]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor3d([1, 2, 3, 4], [2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided,  it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor3d(\n    values: TensorLike3D, shape?: [number, number, number],\n    dtype?: DataType): Tensor3D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 3) {\n    throw new Error('tensor3d() requires shape to have three numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 3 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor3d() requires values to be number[][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor3d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor3D;\n}\n\n/**\n * Creates rank-4 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor4d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor4d([[[[1], [2]], [[3], [4]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor4d(\n    values: TensorLike4D, shape?: [number, number, number, number],\n    dtype?: DataType): Tensor4D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 4) {\n    throw new Error('tensor4d() requires shape to have four numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 4 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor4d() requires values to be number[][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor4d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor4D;\n}\n\n/**\n * Creates rank-5 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor5d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor5d([[[[[1], [2]], [[3], [4]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor5d(\n    values: TensorLike5D, shape?: [number, number, number, number, number],\n    dtype?: DataType): Tensor5D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 5) {\n    throw new Error('tensor5d() requires shape to have five numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 5 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor5d() requires values to be ' +\n        'number[][][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor5d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor5D;\n}\n\n/**\n * Creates rank-6 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor6d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor6d([[[[[[1],[2]],[[3],[4]]],[[[5],[6]],[[7],[8]]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor6d([1, 2, 3, 4, 5, 6, 7, 8], [1, 1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor6d(\n    values: TensorLike6D,\n    shape?: [number, number, number, number, number, number],\n    dtype?: DataType): Tensor6D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 6) {\n    throw new Error('tensor6d() requires shape to have six numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 6 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor6d() requires values to be number[][][][][][] or ' +\n        'flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor6d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  shape = shape ||\n      inferredShape as [number, number, number, number, number, number];\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor6D;\n}\n\n/**\n * Creates a new variable with the provided initial value.\n * ```js\n * const x = tf.variable(tf.tensor([1, 2, 3]));\n * x.assign(tf.tensor([4, 5, 6]));\n *\n * x.print();\n * ```\n *\n * @param initialValue Initial value for the tensor.\n * @param trainable If true, optimizers are allowed to update it.\n * @param name Name of the variable. Defaults to a unique id.\n * @param dtype If set, initialValue will be converted to the given type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction variable<R extends Rank>(\n    initialValue: Tensor<R>, trainable = true, name?: string,\n    dtype?: DataType): Variable<R> {\n  return ENGINE.makeVariable(initialValue, trainable, name, dtype) as\n      Variable<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1.\n *\n * ```js\n * tf.ones([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n *     'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction ones<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = ones(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeOnesTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0.\n *\n * ```js\n * tf.zeros([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Can\n *     be 'float32', 'int32' or 'bool'. Defaults to 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zeros<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = zeros(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeZerosTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` filled with a scalar value.\n *\n * ```js\n * tf.fill([2, 2], 4).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param value The scalar value to fill the tensor with.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n * 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction fill<R extends Rank>(\n    shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n  return ENGINE.runKernelFunc(backend => backend.fill(shape, value, dtype), {});\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.onesLike(x).print();\n * ```\n * @param x A tensor.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction onesLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'onesLike');\n  if ($x.dtype === 'complex64') {\n    const r = onesLike(real($x));\n    const i = zerosLike(imag($x));\n    return complex(r, i);\n  }\n  const der = (dy: T, saved: Tensor[]) => ({x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(\n             backend => backend.onesLike($x), {x: $x}, der, 'OnesLike') as T;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.zerosLike(x).print();\n * ```\n *\n * @param x The tensor of required shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zerosLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'zerosLike');\n  const der = (dy: T, saved: Tensor[]) => ({x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(\n             backend => backend.zerosLike($x), {x: $x}, der, 'ZerosLike') as T;\n}\n\n/**\n * Return an evenly spaced sequence of numbers over the given interval.\n *\n * ```js\n * tf.linspace(0, 9, 10).print();\n * ```\n * @param start The start value of the sequence.\n * @param stop The end value of the sequence.\n * @param num The number of values to generate.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction linspace(start: number, stop: number, num: number): Tensor1D {\n  if (num <= 0) {\n    throw new Error('The number of values should be positive.');\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.linspace(start, stop, num), {});\n}\n\n/**\n * Creates a new `tf.Tensor1D` filled with the numbers in the range provided.\n *\n * The tensor is a is half-open interval meaning it includes start, but\n * excludes stop. Decrementing ranges and negative step values are also\n * supported.\n *\n * ```js\n * tf.range(0, 9, 2).print();\n * ```\n *\n * @param start An integer start value\n * @param stop An integer stop value\n * @param step An integer increment (will default to 1 or -1)\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction range(\n    start: number, stop: number, step = 1,\n    dtype: 'float32'|'int32' = 'float32'): Tensor1D {\n  if (step === 0) {\n    throw new Error('Cannot have a step of zero');\n  }\n\n  const sameStartStop = start === stop;\n  const increasingRangeNegativeStep = start < stop && step < 0;\n  const decreasingRangePositiveStep = stop < start && step > 1;\n\n  if (sameStartStop || increasingRangeNegativeStep ||\n      decreasingRangePositiveStep) {\n    return zeros([0], dtype);\n  }\n\n  const numElements = Math.abs(Math.ceil((stop - start) / step));\n  const values = makeZerosTypedArray(numElements, dtype);\n\n  if (stop < start && step === 1) {\n    // Auto adjust the step's sign if it hasn't been set\n    // (or was set to 1)\n    step = -1;\n  }\n\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, dtype);\n}\n\nexport {\n  fill,\n  linspace,\n  ones,\n  range,\n  scalar,\n  tensor,\n  tensor1d,\n  tensor2d,\n  tensor3d,\n  tensor4d,\n  tensor5d,\n  tensor6d,\n  variable,\n  zeros\n};\n\nexport const onesLike = op({onesLike_});\nexport const zerosLike = op({zerosLike_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, sizeFromShape} from '../util';\nimport {parseAxisParam} from '../util';\nimport {assertParamsConsistent, computeOutShape} from './concat_util';\nimport {op} from './operation';\nimport {tensor} from './tensor_ops';\n\n/**\n * Concatenates a list of`tf.Tensor1D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(3) = |r1, g1, b1|\n * B: shape(2) = |r2, g2|\n * C = tf.concat1d([A, B]) == |r1, g1, b1, r2, g2|\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @return The concatenated array.\n */\nfunction concat1d_(tensors: Array<Tensor1D|TensorLike>): Tensor1D {\n  return concat(tensors, 0 /* axis */);\n}\n\n/**\n * Concatenates a list of`tf.Tensor2D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *\n * B: shape(2, 3) = | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * C = tf.concat2d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *                  | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * if axis = 1:\n * C = shape(2, 6) = | r1, g1, b1, r3, g3, b3 |\n *                   | r2, g2, b2, r4, g4, b4 |\n *\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concatenate along.\n * @return The concatenated array.\n */\nfunction concat2d_(\n    tensors: Array<Tensor2D|TensorLike>, axis: number): Tensor2D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor3D`s along an axis.\n * See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *\n * B: shape(2, 1, 3) = | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * C = tf.concat3d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *                     | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * if axis = 1:\n * C: shape(2, 2, 3) = | r1, g1, b1, r3, g3, b3 |\n *                     | r2, g2, b2, r4, g4, b4 |\n *\n * if axis = 2:\n * C = shape(2, 1, 6) = | r1, g1, b1, r3, g3, b3 |\n *                      | r2, g2, b2, r4, g4, b4 |\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat3d_(\n    tensors: Array<Tensor3D|TensorLike>, axis: number): Tensor3D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor4D`s along an axis.\n * See `concat` for details.\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat4d_(\n    tensors: Array<Tensor4D|TensorLike>, axis: number): Tensor4D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor`s along a given axis.\n *\n * The tensors ranks and types must match, and their sizes must match in all\n * dimensions except `axis`.\n *\n * Also available are stricter rank-specific methods that assert that\n * `tensors` are of the given rank:\n *   - `tf.concat1d`\n *   - `tf.concat2d`\n *   - `tf.concat3d`\n *   - `tf.concat4d`\n *\n * Except `tf.concat1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * a.concat(b).print();  // or a.concat(b)\n * ```\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.concat([a, b, c]).print();\n * ```\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [10, 20]]);\n * const b = tf.tensor2d([[3, 4], [30, 40]]);\n * const axis = 1;\n * tf.concat([a, b], axis).print();\n * ```\n * @param tensors A list of tensors to concatenate.\n * @param axis The axis to concate along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction concat_<T extends Tensor>(tensors: Array<T|TensorLike>, axis = 0): T {\n  assert(tensors.length >= 1, () => 'Pass at least one tensor to concat');\n  let $tensors = convertToTensorArray(tensors, 'tensors', 'concat');\n  if ($tensors[0].dtype === 'complex64') {\n    $tensors.forEach(tensor => {\n      if (tensor.dtype !== 'complex64') {\n        throw new Error(`Cannot concatenate complex64 tensors with a tensor\n          with dtype ${tensor.dtype}. `);\n      }\n    });\n  }\n\n  axis = parseAxisParam(axis, $tensors[0].shape)[0];\n  const outShape = computeOutShape($tensors.map(t => t.shape), axis);\n  if (sizeFromShape(outShape) === 0) {\n    return tensor([], outShape) as T;\n  }\n  // Keep only non-empty tensors (ignore tensors with 0 in their shape).\n  $tensors = $tensors.filter(t => t.size > 0);\n  if ($tensors.length === 1) {\n    return $tensors[0];\n  }\n\n  const shapes = $tensors.map(t => t.shape);\n  assertParamsConsistent(shapes, axis);\n  const der = (dy: T) => {\n    const sizeSplits = shapes.map(s => s[axis]);\n    const derTensors = split(dy, sizeSplits, axis);\n    return derTensors.map(t => () => t) as {};\n  };\n  const inputs = $tensors as {};\n  const attr = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.concat($tensors, axis) as T, inputs, der, 'Concat',\n      attr);\n}\n\n/**\n * Splits a `tf.Tensor` into sub tensors.\n *\n * If `numOrSizeSplits` is a number, splits `x` along dimension `axis`\n * into `numOrSizeSplits` smaller tensors.\n * Requires that `numOrSizeSplits` evenly divides `x.shape[axis]`.\n *\n * If `numOrSizeSplits` is a number array, splits `x` into\n * `numOrSizeSplits.length` pieces. The shape of the `i`-th piece has the\n * same size as `x` except along dimension `axis` where the size is\n * `numOrSizeSplits[i]`.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8], [2, 4]);\n * const [a, b] = tf.split(x, 2, 1);\n * a.print();\n * b.print();\n *\n * const [c, d, e] = tf.split(x, [1, 2, 1], 1);\n * c.print();\n * d.print();\n * e.print();\n * ```\n *\n * @param x The input tensor to split.\n * @param numOrSizeSplits Either an integer indicating the number of\n * splits along the axis or an array of integers containing the sizes of\n * each output tensor along the axis. If a number then it must evenly divide\n * `x.shape[axis]`; otherwise the sum of sizes must match `x.shape[axis]`.\n * @param axis The dimension along which to split. Defaults to 0 (the first\n * dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction split_<T extends Tensor>(\n    x: T|TensorLike, numOrSizeSplits: number[]|number, axis = 0): T[] {\n  const $x = convertToTensor(x, 'x', 'split');\n\n  axis = parseAxisParam(axis, $x.shape)[0];\n  let splitSizes: number[];\n  if (typeof (numOrSizeSplits) === 'number') {\n    assert(\n        $x.shape[axis] % numOrSizeSplits === 0,\n        () => 'Number of splits must evenly divide the axis.');\n    splitSizes =\n        new Array(numOrSizeSplits).fill($x.shape[axis] / numOrSizeSplits);\n  } else {\n    assert(\n        $x.shape[axis] === numOrSizeSplits.reduce((a, b) => a + b),\n        () => 'The sum of sizes must match the size of the axis dimension.');\n    splitSizes = numOrSizeSplits;\n  }\n  const der = (dy: T[]) => ({$x: () => concat(dy, axis)});\n  return ENGINE.runKernelFunc(\n      backend => backend.split($x, splitSizes, axis), {$x}, der);\n}\n\nexport const concat = op({concat_});\nexport const concat1d = op({concat1d_});\nexport const concat2d = op({concat2d_});\nexport const concat3d = op({concat3d_});\nexport const concat4d = op({concat4d_});\nexport const split = op({split_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor4D, TensorBuffer} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {DataType, DataTypeMap, Rank, ShapeMap, TensorLike, TensorLike4D} from '../types';\nimport * as util from '../util';\nimport {getAxesPermutation, getInnerMostAxes} from './axis_util';\nimport {concat} from './concat_split';\nimport {op} from './operation';\n\n/**\n * Reshapes a `tf.Tensor` to a given shape.\n *\n * Given an input tensor, returns a new tensor with the same values as the\n * input tensor with shape `shape`.\n *\n * If one component of shape is the special value -1, the size of that\n * dimension is computed so that the total size remains constant. In\n * particular, a shape of [-1] flattens into 1-D. At most one component of\n * shape can be -1.\n *\n * If shape is 1-D or higher, then the operation returns a tensor with shape\n * shape filled with the values of tensor. In this case, the number of\n * elements implied by shape must be the same as the number of elements in\n * tensor.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.reshape([2, 2]).print();\n * ```\n *\n * @param x The input tensor to be reshaped.\n * @param shape An array of integers defining the output tensor shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction reshape_<R2 extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R2]): Tensor<R2> {\n  const $x = convertToTensor(x, 'x', 'reshape', null);\n  shape = util.inferFromImplicitShape(shape, $x.size) as ShapeMap[R2];\n  util.assert(\n      $x.size === util.sizeFromShape(shape),\n      () => 'new shape and old shape must have the same number of elements.');\n\n  const grad = (dy: Tensor<R2>) => {\n    return {x: () => dy.reshape($x.shape)};\n  };\n  const attrs = {shape};\n  return ENGINE.runKernelFunc(\n      backend => backend.reshape($x, shape), {x: $x}, grad, 'Reshape', attrs);\n}\n\n/**\n * Removes dimensions of size 1 from the shape of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4], [1, 1, 4]);\n * x.squeeze().print();\n * ```\n *\n * @param x The input tensor to be squeezed.\n * @param axis An optional list of numbers. If specified, only\n *     squeezes the dimensions listed. The dimension index starts at 0. It\n * is an error to squeeze a dimension that is not 1.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction squeeze_<T extends Tensor>(x: Tensor|TensorLike, axis?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'squeeze');\n  return reshape($x, util.squeezeShape($x.shape, axis).newShape) as T;\n}\n\n/**\n * Casts a `tf.Tensor` to a new dtype.\n *\n * ```js\n * const x = tf.tensor1d([1.5, 2.5, 3]);\n * tf.cast(x, 'int32').print();\n * ```\n * @param x The input tensor to be casted.\n * @param dtype The dtype to cast the input tensor to.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction cast_<T extends Tensor>(x: T|TensorLike, dtype: DataType): T {\n  const $x = convertToTensor(x, 'x', 'cast');\n\n  // Sanity checks.\n  if (!util.isValidDtype(dtype)) {\n    throw new Error(`Failed to cast to unknown dtype ${dtype}`);\n  }\n  if (dtype === 'string' && $x.dtype !== 'string' ||\n      dtype !== 'string' && $x.dtype === 'string') {\n    throw new Error('Only strings can be casted to strings');\n  }\n\n  const grad = (dy: T) => {\n    return {x: () => dy.clone()};\n  };\n  const attrs = {dtype};\n  return ENGINE.runKernelFunc(\n      backend => backend.cast($x, dtype), {x: $x}, grad, 'Cast', attrs);\n}\n\n/**\n * Stacks a list of rank-`R` `tf.Tensor`s into one rank-`(R+1)` `tf.Tensor`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.stack([a, b, c]).print();\n * ```\n *\n * @param tensors A list of tensor objects with the same shape and dtype.\n * @param axis The axis to stack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction stack_<T extends Tensor>(\n    tensors: Array<T|TensorLike>, axis = 0): Tensor {\n  const $tensors = convertToTensorArray(tensors, 'tensors', 'stack');\n\n  util.assert(\n      $tensors.length >= 1, () => 'Pass at least one tensor to tf.stack');\n  if ($tensors.length === 1) {\n    return $tensors[0].expandDims(axis);\n  }\n  const rank = $tensors[0].rank;\n  const shape = $tensors[0].shape;\n  const dtype = $tensors[0].dtype;\n\n  util.assert(axis <= rank, () => 'Axis must be <= rank of the tensor');\n\n  $tensors.forEach(t => {\n    util.assertShapesMatch(\n        shape, t.shape,\n        'All tensors passed to stack must have matching shapes');\n  });\n\n  $tensors.forEach(t => {\n    util.assert(\n        dtype === t.dtype,\n        () => 'All tensors passed to stack must have matching dtypes');\n  });\n  const expandedTensors = $tensors.map(t => t.expandDims(axis));\n  return concat(expandedTensors, axis);\n}\n\n/**\n * This operation reshapes the \"batch\" dimension 0 into `M + 1` dimensions of\n * shape `blockShape + [batch]`, interleaves these blocks back into the grid\n * defined by the spatial dimensions `[1, ..., M]`, to obtain a result with\n * the same rank as the input. The spatial dimensions of this intermediate\n * result are then optionally cropped according to `crops` to produce the\n * output. This is the reverse of `tf.spaceToBatchND`. See below for a precise\n * description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [4, 1, 1, 1]);\n * const blockShape = [2, 2];\n * const crops = [[0, 0], [0, 0]];\n *\n * x.batchToSpaceND(blockShape, crops).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param crops A 2-D array.  Must have shape `[M, 2]`, all values must be >= 0.\n * `crops[i] = [cropStart, cropEnd]` specifies the amount to crop from input\n * dimension `i + 1`, which corresponds to spatial dimension `i`. It is required\n * that `cropStart[i] + cropEnd[i] <= blockShape[i] * inputShape[i + 1]`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Reshape `x` to `reshaped` of shape: `[blockShape[0], ...,\n * blockShape[M-1], batch / prod(blockShape), x.shape[1], ...,\n * x.shape[N-1]]`\n *\n * 2. Permute dimensions of `reshaped`to produce `permuted` of shape `[batch /\n * prod(blockShape),x.shape[1], blockShape[0], ..., x.shape[M],\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 3. Reshape `permuted` to produce `reshapedPermuted` of shape `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0], ..., x.shape[M] *\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 4. Crop the start and end of dimensions `[1, ..., M]` of `reshapedPermuted`\n * according to `crops` to produce the output of shape: `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0] - crops[0,0] - crops[0,1],\n * ..., x.shape[M] * blockShape[M-1] - crops[M-1,0] -\n * crops[M-1,1],x.shape[M+1], ..., x.shape[N-1]]`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction batchToSpaceND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], crops: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'batchToSpaceND');\n  const prod = blockShape.reduce((a, b) => a * b);\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank is ${$x.rank} but should be > than blockShape.length ${\n          blockShape.length}`);\n\n  util.assert(\n      crops.length === blockShape.length,\n      () => `crops.length is ${\n          crops.length} but should be equal to blockShape.length  ${\n          blockShape.length}`);\n\n  util.assert(\n      $x.shape[0] % prod === 0,\n      () => `input tensor batch is ${\n                $x.shape[0]} but is not divisible by the product of ` +\n          `the elements of blockShape ${blockShape.join(' * ')} === ${prod}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.spaceToBatchND(blockShape, crops)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.batchToSpaceND($x, blockShape, crops), {$x}, grad);\n}\n\n/**\n * This operation divides \"spatial\" dimensions `[1, ..., M]` of the input into\n * a grid of blocks of shape `blockShape`, and interleaves these blocks with\n * the \"batch\" dimension (0) such that in the output, the spatial\n * dimensions `[1, ..., M]` correspond to the position within the grid,\n * and the batch dimension combines both the position within a spatial block\n * and the original batch position. Prior to division into blocks,\n * the spatial dimensions of the input are optionally zero padded\n * according to `paddings`. See below for a precise description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n * const blockShape = [2, 2];\n * const paddings = [[0, 0], [0, 0]];\n *\n * x.spaceToBatchND(blockShape, paddings).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param paddings A 2-D array. Must have shape `[M, 2]`, all values must be >=\n *     0. `paddings[i] = [padStart, padEnd]` specifies the amount to zero-pad\n * from input dimension `i + 1`, which corresponds to spatial dimension `i`. It\n * is required that\n * `(inputShape[i + 1] + padStart + padEnd) % blockShape[i] === 0`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Zero-pad the start and end of dimensions `[1, ..., M]` of the input\n * according to `paddings` to produce `padded` of shape paddedShape.\n *\n * 2. Reshape `padded` to `reshapedPadded` of shape:\n * `[batch] + [paddedShape[1] / blockShape[0], blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1], blockShape[M-1]] + remainingShape`\n *\n * 3. Permute dimensions of `reshapedPadded` to produce `permutedReshapedPadded`\n * of shape: `blockShape + [batch] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n *\n * 4. Reshape `permutedReshapedPadded` to flatten `blockShape` into the\n * batch dimension, producing an output tensor of shape:\n * `[batch * prod(blockShape)] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction spaceToBatchND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], paddings: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'spaceToBatchND');\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank ${$x.rank} should be > than [blockShape] ${\n          blockShape.length}`);\n\n  util.assert(\n      paddings.length === blockShape.length,\n      () => `paddings.shape[0] ${\n          paddings.length} must be equal to [blockShape] ${blockShape.length}`);\n\n  util.assert(\n      $x.shape.reduce(\n          (a, b, i) => {\n            if (i > 0 && i <= blockShape.length) {\n              return a &&\n                  ((b + paddings[i - 1][0] + paddings[i - 1][1]) %\n                       blockShape[i - 1] ===\n                   0);\n            }\n            return a;\n          },\n          true),\n      () => `input spatial dimensions ${$x.shape.slice(1)} with paddings ${\n          paddings.toString()} must be divisible by blockShapes ${\n          blockShape.toString()}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.batchToSpaceND(blockShape, paddings)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.spaceToBatchND($x, blockShape, paddings), {$x}, grad);\n}\n\n/**\n * Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * tf.unstack(a).forEach(tensor => tensor.print());\n * ```\n *\n * @param x A tensor object.\n * @param axis The axis to unstack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction unstack_(x: Tensor|TensorLike, axis = 0): Tensor[] {\n  axis = axis || 0;\n  const $x = convertToTensor(x, 'x', 'unstack');\n  util.assert(\n      axis >= -$x.shape.length && axis < $x.shape.length,\n      () =>\n          `Axis = ${axis} is not in [-${$x.shape.length}, ${$x.shape.length})`);\n  if (axis < 0) {\n    axis += $x.shape.length;\n  }\n  const grad = (dy: Tensor[]) => {\n    return {x: () => stack(dy, axis)};\n  };\n  const attrs = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.unstack($x, axis), {x: $x}, grad, 'Unpack', attrs);\n}\n\n/**\n * Computes the cumulative sum of a `tf.Tensor` along `axis`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4]);\n * x.cumsum().print();\n * ```\n * ```js\n * const x = tf.tensor([[1, 2], [3, 4]]);\n * x.cumsum().print();\n * ```\n *\n * @param x The input tensor to be summed.\n * @param axis The axis along which to sum. Optional. Defaults to 0.\n * @param exclusive Whether to perform exclusive cumulative sum. Optional.\n *     Defaults to false. If set to true then the sum of each tensor entry\n *     does not include its own value, but only the values previous to it\n *     along the specified axis.\n * @param reverse Whether to sum in the opposite direction. Optional.\n *     Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Scan'} */\nfunction cumsum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis = 0, exclusive = false, reverse = false): T {\n  const $x = convertToTensor(x, 'x', 'cumsum');\n\n  axis = axis | 0;\n  const permutation = getAxesPermutation([axis], $x.rank);\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n  }\n  const permutedAxis = getInnerMostAxes(1, $x.rank)[0];\n\n  const grad = (dy: T) => {\n    return {permutedX: () => dy.cumsum(axis, exclusive, !reverse)};\n  };\n  let value = ENGINE.runKernelFunc(\n                  backend => backend.cumsum(\n                      permutedX, permutedAxis, exclusive, reverse),\n                  {permutedX}, grad) as T;\n\n  if (permutation != null) {\n    value = value.transpose(permutation);\n  }\n  return value;\n}\n\n/**\n * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n * into the tensor's shape.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const axis = 1;\n * x.expandDims(axis).print();\n * ```\n *\n * @param x The input tensor whose dimensions to be expanded.\n * @param axis The dimension index at which to insert shape of `1`. Defaults\n *     to 0 (the first dimension).\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction expandDims_<R2 extends Rank>(\n    x: Tensor|TensorLike, axis = 0): Tensor<R2> {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'expandDims', parseAs);\n\n  util.assert(axis <= $x.rank, () => 'Axis must be <= rank of the tensor');\n  const newShape = $x.shape.slice();\n  if (axis < 0) {\n    // Negative value is counted from the tail of rank.\n    util.assert(\n        -($x.rank + 1) <= axis,\n        () => `Axis must be in the interval [${- ($x.rank + 1)}, ${$x.rank}]`);\n    axis = $x.rank + axis + 1;\n  }\n  newShape.splice(axis, 0, 1);\n  return reshape($x, newShape as ShapeMap[R2]);\n}\n\n/**\n * Rearranges data from depth into blocks of spatial data. More specifically,\n * this op outputs a copy of the input tensor where values from the `depth`\n * dimension are moved in spatial blocks to the `height` and `width` dimensions.\n * The attr `blockSize` indicates the input block size and how the data is\n * moved.\n *\n *  - Chunks of data of size `blockSize * blockSize` from depth are rearranged\n * into non-overlapping blocks of size `blockSize x blockSize`\n *\n *  - The width the output tensor is `inputWidth * blockSize`, whereas the\n * height is `inputHeight * blockSize`\n *\n *  - The Y, X coordinates within each block of the output image are determined\n * by the high order component of the input channel index\n *\n *  - The depth of the input tensor must be divisible by `blockSize *\n * blockSize`\n *\n * The `dataFormat` attr specifies the layout of the input and output tensors\n * with the following options: \"NHWC\": [ `batch, height, width, channels` ]\n * \"NCHW\": [ `batch, channels, height, width` ]\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);\n * const blockSize = 2;\n * const dataFormat = \"NHWC\";\n *\n * tf.depthToSpace(x, blockSize, dataFormat).print();\n * ```\n *\n * @param x The input tensor of rank 4\n * @param blockSIze  An `int` that is `>= 2`. The size of the spatial block\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to \"NHWC\"\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction depthToSpace_(\n    x: Tensor4D|TensorLike4D, blockSize: number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'depthToSpace') as Tensor4D;\n\n  const inputHeight = (dataFormat === 'NHWC') ? $x.shape[1] : $x.shape[2];\n  const inputWidth = (dataFormat === 'NHWC') ? $x.shape[2] : $x.shape[3];\n  const inputDepth = (dataFormat === 'NHWC') ? $x.shape[3] : $x.shape[1];\n\n  util.assert(\n      inputHeight * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputHeight} and ${blockSize}  for depthToSpace with input shape\n      ${$x.shape}`);\n\n  util.assert(\n      inputWidth * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputWidth} and ${blockSize} for depthToSpace with input shape\n          ${$x.shape}`);\n\n  util.assert(\n      (inputDepth % (blockSize * blockSize) === 0),\n      () => `Dimension size must be evenly divisible by ${\n          blockSize * blockSize} but is ${\n          inputDepth} for depthToSpace with input shape ${$x.shape}`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.depthToSpace($x, blockSize, dataFormat), {$x});\n}\n\n/**\n * Computes the difference between two lists of numbers.\n *\n * Given a Tensor `x` and a Tensor `y`, this operation returns a Tensor `out`\n * that represents all values that are in `x` but not in `y`. The returned\n * Tensor `out` is sorted in the same order that the numbers appear in `x`\n * (duplicates are preserved). This operation also returns a Tensor indices that\n * represents the position of each out element in `x`. In other words:\n *\n * `out[i] = x[idx[i]] for i in [0, 1, ..., out.length - 1]`\n *\n * ```js\n * const x = [1, 2, 3, 4, 5, 6];\n * const y = [1, 3, 5];\n *\n * const [out, indices] = await tf.setdiff1dAsync(x, y);\n * out.print(); // [2, 4, 6]\n * indices.print(); // [1, 3, 5]\n * ```\n *\n * @param x 1-D Tensor. Values to keep.\n * @param y 1-D Tensor. Must have the same type as x. Values to exclude in the\n *     output.\n * @returns Promise of Tensor tuple [out, indices].\n *  out: Tensor with the same type as x.\n *  indices: A Tensor of type int32.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nasync function setdiff1dAsync_(\n    x: Tensor|TensorLike, y: Tensor|TensorLike): Promise<[Tensor, Tensor]> {\n  const $x = convertToTensor(x, 'x', 'setdiff1d');\n  const $y = convertToTensor(y, 'y', 'setdiff1d');\n\n  util.assert(\n      $x.dtype === $y.dtype,\n      () => `x and y should have the same dtype, but got x (${\n          $x.dtype}) and y (${$y.dtype}).`);\n\n  util.assert(\n      $x.rank === 1, () => `x should be 1D tensor, but got x (${$x.shape}).`);\n\n  util.assert(\n      $y.rank === 1, () => `y should be 1D tensor, but got y (${$y.shape}).`);\n\n  const xVals = await $x.data();\n  const yVals = await $y.data();\n  const ySet = new Set(yVals);\n\n  let outputSize = 0;\n  for (let i = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      outputSize++;\n    }\n  }\n\n  const buffer = new TensorBuffer([outputSize], $x.dtype);\n  const indices = new TensorBuffer([outputSize], 'int32');\n  for (let i = 0, p = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      buffer.values[p] = xVals[i];\n      indices.values[p] = i;\n      p++;\n    }\n  }\n  return [buffer.toTensor(), indices.toTensor()];\n}\n\n/**\n * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.\n *\n * The values are stored in CPU as `TypedArray`. Fill the buffer using\n * `buffer.set()`, or by modifying directly `buffer.values`.\n *\n * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with\n * those values.\n *\n * ```js\n * // Create a buffer and set values at particular indices.\n * const buffer = tf.buffer([2, 2]);\n * buffer.set(3, 0, 0);\n * buffer.set(5, 1, 0);\n *\n * // Convert the buffer back to a tensor.\n * buffer.toTensor().print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The dtype of the buffer. Defaults to 'float32'.\n * @param values The values of the buffer as `TypedArray`. Defaults to\n * zeros.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nexport function buffer<R extends Rank, D extends DataType = 'float32'>(\n    shape: ShapeMap[R], dtype: D = 'float32' as D,\n    values?: DataTypeMap[D]): TensorBuffer<R, D> {\n  dtype = dtype || 'float32' as D;\n  util.assertNonNegativeIntegerDimensions(shape);\n  return new TensorBuffer<R, D>(shape, dtype, values);\n}\n\n/**\n * Prints information about the `tf.Tensor` including its data.\n *\n * ```js\n * const verbose = true;\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print(verbose);\n * ```\n * @param x The tensor to be printed.\n * @param verbose Whether to print verbose information about the ` Tensor`,\n * including dtype and size.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction print<T extends Tensor>(x: T, verbose = false): void {\n  console.log(x.toString(verbose));\n}\n\nexport {\n  print  // Not wrapped in op() since no need to increase stack trace.\n};\n\nexport const batchToSpaceND = op({batchToSpaceND_});\nexport const cast = op({cast_});\nexport const cumsum = op({cumsum_});\nexport const depthToSpace = op({depthToSpace_});\nexport const expandDims = op({expandDims_});\nexport const reshape = op({reshape_});\nexport const spaceToBatchND = op({spaceToBatchND_});\nexport const squeeze = op({squeeze_});\nexport const stack = op({stack_});\nexport const unstack = op({unstack_});\nexport const setdiff1dAsync = setdiff1dAsync_;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Gets the new shape of the input Tensor after it's been reshaped\n * to:\n * [blockShape[0], ..., blockShape[M-1], batch / prod(blockShape),\n * inputShape[1], ..., inputShape[N-1]]\n *\n * See step 1: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshaped(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  let reshaped: number[] = [];\n  if (batchToSpace) {\n    reshaped = reshaped.concat(blockShape.slice(0));\n    reshaped.push(inputShape[0] / prod);\n    reshaped = reshaped.concat(inputShape.slice(1));\n  } else {\n    reshaped = reshaped.concat(inputShape[0]);\n    const spatialLength = blockShape.length;\n    for (let i = 0; i < spatialLength; ++i) {\n      reshaped =\n          reshaped.concat([inputShape[i + 1] / blockShape[i], blockShape[i]]);\n    }\n    reshaped = reshaped.concat(inputShape.slice(spatialLength + 1));\n  }\n  return reshaped;\n}\n\n/**\n * Gets the permutation that will transpose the dimensions of the\n * reshaped tensor to shape:\n *\n * [batch / prod(block_shape),inputShape[1], blockShape[0], ...,\n * inputShape[M], blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * see step 2: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getPermuted(\n    reshapedRank: number, blockShapeRank: number,\n    batchToSpace = true): number[] {\n  const permuted = [];\n  if (batchToSpace) {\n    permuted.push(blockShapeRank);\n    for (let i = blockShapeRank + 1; i < reshapedRank; ++i) {\n      if (i <= 2 * blockShapeRank) {\n        permuted.push(i);\n        permuted.push(i - (blockShapeRank + 1));\n      } else {\n        permuted.push(i);\n      }\n    }\n  } else {\n    const permutedBeforeBatch = [];\n    const permutedAfterBatch = [];\n    for (let i = 1; i < reshapedRank; ++i) {\n      if (i >= blockShapeRank * 2 + 1 || i % 2 === 1) {\n        permutedAfterBatch.push(i);\n      } else {\n        permutedBeforeBatch.push(i);\n      }\n    }\n    permuted.push(...permutedBeforeBatch);\n    permuted.push(0);\n    permuted.push(...permutedAfterBatch);\n  }\n  return permuted;\n}\n\n/**\n * Gets the shape of the reshaped and permuted input Tensor before any cropping\n * is applied.  The new shape will be:\n *\n * [batch / prod(blockShape),inputShape[1] * blockShape[0], ...,\n * inputShape[M] * blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 3: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshapedPermuted(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  const reshapedPermuted = [];\n\n  if (batchToSpace) {\n    reshapedPermuted.push(inputShape[0] / prod);\n  } else {\n    reshapedPermuted.push(inputShape[0] * prod);\n  }\n\n  for (let i = 1; i < inputShape.length; ++i) {\n    if (i <= blockShape.length) {\n      if (batchToSpace) {\n        reshapedPermuted.push(blockShape[i - 1] * inputShape[i]);\n      } else {\n        reshapedPermuted.push(inputShape[i] / blockShape[i - 1]);\n      }\n    } else {\n      reshapedPermuted.push(inputShape[i]);\n    }\n  }\n\n  return reshapedPermuted;\n}\n\n/**\n * Converts the crops argument into the beginning coordinates of a slice\n * operation.\n */\nexport function getSliceBeginCoords(\n    crops: number[][], blockShape: number): number[] {\n  const sliceBeginCoords = [0];\n  for (let i = 0; i < blockShape; ++i) {\n    sliceBeginCoords.push(crops[i][0]);\n  }\n  return sliceBeginCoords;\n}\n\n/**\n * Converts the crops argument into the size of a slice operation.  When\n * combined with getSliceBeginCoords this function allows the reshaped and\n * permuted Tensor to be cropped to its final output shape of:\n *\n * inputShape[1] * blockShape[0] - crops[0,0] - crops[0,1], ...,\n * inputShape[M] * blockShape[M-1] -crops[M-1,0] -\n * crops[M-1,1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 4: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getSliceSize(\n    uncroppedShape: number[], crops: number[][], blockShape: number): number[] {\n  const sliceSize = uncroppedShape.slice(0, 1);\n  for (let i = 0; i < blockShape; ++i) {\n    sliceSize.push(uncroppedShape[i + 1] - crops[i][0] - crops[i][1]);\n  }\n\n  return sliceSize;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// Allow UpperCamelCase variable names\n// tslint:disable: variable-name\n// Unfortunately just enabling PascalCase per file (tslint:enable:\n// allow-pascal-case) doesn't work.\nimport {NamedTensorInfoMap, TensorInfo} from './kernel_registry';\nimport {PixelData} from './types';\n\nexport const Add = 'Add';\nexport type AddInputs = BinaryInputs;\n\nexport const AddN = 'AddN';\nexport type AddNInputs = TensorInfo[];\n\nexport type BinaryInputs = Pick<NamedTensorInfoMap, 'a'|'b'>;\n\nexport const Div = 'Div';\nexport type DivInputs = BinaryInputs;\n\nexport const FusedBatchNorm = 'FusedBatchNorm';\nexport type FusedBatchNormInputs =\n    Pick<NamedTensorInfoMap, 'x'|'scale'|'offset'|'mean'|'variance'>;\nexport interface FusedBatchNormAttrs {\n  varianceEpsilon: number;\n}\n\nexport const SquaredDifference = 'SquaredDifference';\nexport type SquaredDifferenceInputs = BinaryInputs;\n\nexport const Square = 'Square';\nexport type SquareInputs = Pick<NamedTensorInfoMap, 'x'>;\n\nexport const Transpose = 'Transpose';\nexport type TransposeInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface TransposeAttrs {\n  perm: number[];\n}\n\nexport const NonMaxSuppressionV5 = 'NonMaxSuppressionV5';\nexport type NonMaxSuppressionV5Inputs =\n    Pick<NamedTensorInfoMap, 'boxes'|'scores'>;\nexport interface NonMaxSuppressionV5Attrs {\n  maxOutputSize: number;\n  iouThreshold: number;\n  scoreThreshold: number;\n  softNmsSigma: number;\n}\n\nexport const BroadcastTo = 'BroadcastTo';\nexport type BroadcastToInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface BroadCastToAttrs {\n  shape: number[];\n  inputShape: number[];  // for gradient\n}\n\nexport const OneHot = 'OneHot';\nexport type OneHotInputs = Pick<NamedTensorInfoMap, 'indices'>;\nexport interface OneHotAttrs {\n  depth: number;\n  onValue: number;\n  offValue: number;\n}\n\nexport const Identity = 'Identity';\nexport type IdentityInputs = Pick<NamedTensorInfoMap, 'x'>;\n\nexport const Tile = 'Tile';\nexport type TileInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface TileAttrs {\n  reps: number[];\n}\n\nexport const PadV2 = 'PadV2';\nexport type PadV2Inputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface PadV2Attrs {\n  paddings: Array<[number, number]>;\n  constantValue: number;\n}\n\n/**\n * TensorFlow.js-only kernels\n */\nexport const FromPixels = 'FromPixels';\nexport interface FromPixelsInputs {\n  pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n      HTMLVideoElement;\n}\nexport interface FromPixelsAttrs {\n  numChannels: number;\n}\n\nexport const MaxPoolWithArgmax = 'MaxPoolWithArgmax';\nexport type MaxPoolWithArgmaxInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface MaxPoolWithArgmaxAttrs {\n  filterSize: [number, number]|number;\n  strides: [number, number]|number;\n  pad: 'valid'|'same'|number;\n  includeBatchInIndex: boolean;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Add, AddInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B. Supports broadcasting.\n *\n * We also expose `tf.addStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n *\n * ```js\n * // Broadcast add a with b.\n * const a = tf.scalar(5);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n * @param a The first `tf.Tensor` to add.\n * @param b The second `tf.Tensor` to add. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction add_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'add');\n  let $b = convertToTensor(b, 'b', 'add');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.add($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: AddInputs = {a: $a, b: $b};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* gradient */,\n             Add) as T;\n}\n\nexport const add = op({add_});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Returns the dimensions in the input shape that are broadcasted to\n * produce the provided output shape.\n *\n * The returned dimensions are 0-indexed and sorted. An example:\n * inShape = [4, 1, 3]\n * outShape = [5, 4, 3, 3]\n * result = [1]. Dimension 1 (2nd dimension of input) gets broadcasted 1 => 3.\n */\nexport function getBroadcastDims(\n    inShape: number[], outShape: number[]): number[] {\n  const inRank = inShape.length;\n  const dims: number[] = [];\n  for (let i = 0; i < inRank; i++) {\n    const dim = inRank - 1 - i;\n    const a = inShape[dim] || 1;\n    const b = outShape[outShape.length - 1 - i] || 1;\n    if (b > 1 && a === 1) {\n      dims.unshift(dim);\n    }\n  }\n  return dims;\n}\n\n/**\n * Returns the axes in the output space that should be reduced to produce\n * the input space.\n */\nexport function getReductionAxes(\n    inShape: number[], outShape: number[]): number[] {\n  const result: number[] = [];\n  for (let i = 0; i < outShape.length; i++) {\n    const inDim = inShape[inShape.length - i - 1];\n    const outAxis = outShape.length - i - 1;\n    const outDim = outShape[outAxis];\n    if (inDim == null || (inDim === 1 && outDim > 1)) {\n      result.unshift(outAxis);\n    }\n  }\n  return result;\n}\n\nexport function assertAndGetBroadcastShape(\n    shapeA: number[], shapeB: number[]): number[] {\n  const result: number[] = [];\n  const l = Math.max(shapeA.length, shapeB.length);\n\n  for (let i = 0; i < l; i++) {\n    let a = shapeA[shapeA.length - i - 1];\n    if (a == null) {\n      a = 1;\n    }\n    let b = shapeB[shapeB.length - i - 1];\n    if (b == null) {\n      b = 1;\n    }\n    if (a === 1) {\n      result.unshift(b);\n    } else if (b === 1) {\n      result.unshift(a);\n    } else if (a !== b) {\n      const errMsg = `Operands could not be broadcast together with shapes ` +\n          `${shapeA} and ${shapeB}.`;\n      throw Error(errMsg);\n    } else {\n      result.unshift(a);\n    }\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes `-1 * x` element-wise.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, -2, 0], [2, 2]);\n *\n * x.neg().print();  // or tf.neg(x)\n * ```\n *\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction neg_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'neg');\n\n  const grad = (dy: T) => {\n    return {x: () => dy.neg()};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc(\n      backend => backend.neg($x), {x: $x}, grad, 'Neg', attrs, inputsToSave);\n}\n\n/**\n * Computes ceiling of input `tf.Tensor` element-wise: `ceil(x)`\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.ceil().print();  // or tf.ceil(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction ceil_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'ceil');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.ceil($x), {$x}, grad);\n}\n\n/**\n * Computes floor of input `tf.Tensor` element-wise: `floor(x)`.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.floor().print();  // or tf.floor(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction floor_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'floor');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.floor($x), {$x}, grad);\n}\n\n/**\n * Returns an element-wise indication of the sign of a number.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3, NaN, 0]);\n *\n * x.sign().print();  // or tf.sign(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sign_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sign');\n\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.sign($x), {$x}, grad);\n}\n\n/**\n * RReturns which elements of x are NaN.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isNaN().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isNaN_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isNaN');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isNaN($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are Infinity or -Infinity.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isInf().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isInf_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isInf');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isInf($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are finite.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isFinite().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isFinite_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isFinite');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isFinite($x), {$x}, grad);\n}\n\n/**\n * Computes round of input `tf.Tensor` element-wise: `round(x)`.\n * It implements banker's rounding.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.round().print();  // or tf.round(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction round_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'round');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.round($x), {$x}, grad);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` element-wise. `e ^ x`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.exp().print();  // or tf.exp(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction exp_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'exp');\n\n  const bck = (dy: T, saved: Tensor[]) => {\n    return {x: () => dy.mulStrict(saved[0] as T)};\n  };\n  const attrs = {};\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.exp($x);\n    save([y]);\n    return y;\n  }, {x: $x}, bck, 'Exp', attrs, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` minus one element-wise.\n * `e ^ x - 1`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.expm1().print();  // or tf.expm1(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction expm1_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'expm1');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.exp())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.expm1($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` element-wise: `ln(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E]);\n *\n * x.log().print();  // or tf.log(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.toFloat())} as {x: () => T};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Log', attrs, inputsToSave);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` plus one\n * element-wise: `ln(1 + x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E - 1]);\n *\n * x.log1p().print();  // or tf.log1p(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log1p_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log1p');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log1p($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes square root of the input `tf.Tensor` element-wise: `y = sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.sqrt().print();  // or tf.sqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().sqrt().mul(2))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sqrt($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes reciprocal of square root of the input `tf.Tensor` element-wise:\n * `y = 1 / sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.rsqrt().print();  // or tf.rsqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction rsqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'rsqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.pow(1.5).mul(2)).neg() as T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.rsqrt($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Rsqrt', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes reciprocal of x element-wise: `1 / x`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, 2]);\n *\n * x.reciprocal().print();  // or tf.reciprocal(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction reciprocal_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'reciprocal');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.square().neg())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.reciprocal($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes absolute value element-wise: `abs(x)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.abs().print();  // or tf.abs(x)\n * ```\n * @param x The input `tf.Tensor`.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction abs_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'abs');\n\n  if ($x.dtype === 'complex64') {\n    return ENGINE.runKernelFunc(backend => backend.complexAbs($x), {$x});\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mul($x.toFloat().step(-1))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.abs($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Abs');\n}\n\n/**\n * Clips values element-wise. `max(min(x, clipValueMax), clipValueMin)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.clipByValue(-2, 3).print();  // or tf.clipByValue(x, -2, 3)\n * ```\n * @param x The input tensor.\n * @param clipValueMin Lower-bound of range to be clipped to.\n * @param clipValueMax Upper-bound of range to be clipped to.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction clipByValue_<T extends Tensor>(\n    x: T|TensorLike, clipValueMin: number, clipValueMax: number): T {\n  const $x = convertToTensor(x, 'x', 'clipByValue');\n  util.assert(\n      (clipValueMin <= clipValueMax),\n      () => `Error in clip: min (${clipValueMin}) must be ` +\n          `less than or equal to max (${clipValueMax}).`);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      x: () => dy.where(\n                   $x.greaterEqual(clipValueMin)\n                       .logicalAnd($x.lessEqual(clipValueMax)),\n                   zerosLike(dy)) as T,\n    };\n  };\n  const inputsToSave = [$x];\n  const attr = {min: clipValueMin, max: clipValueMax};\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.clip($x, clipValueMin, clipValueMax);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ClipByValue', attr, inputsToSave);\n}\n\n/**\n * Computes sigmoid element-wise, `1 / (1 + exp(-x))`\n *\n * ```js\n * const x = tf.tensor1d([0, -1, 2, -3]);\n *\n * x.sigmoid().print();  // or tf.sigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => dy.mul(y.mul(scalar(1).sub(y)))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.sigmoid($x);\n    save([y]);\n    return y;\n  }, {x: $x}, grad, 'Sigmoid');\n}\n\n/**\n * Computes log sigmoid of the input `tf.Tensor` element-wise:\n * `logSigmoid(x)`. For numerical stability, we use `-tf.softplus(-x)`.\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.logSigmoid().print();  // or tf.logSigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction logSigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logSigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.neg().sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x.neg()).neg();\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes softplus of the input `tf.Tensor` element-wise: `log(exp(x) + 1)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.softplus().print();  // or tf.softplus(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction softplus_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'softplus');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes sin of the input Tensor element-wise: `sin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.sin().print();  // or tf.sin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().cos().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sin($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Sin', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes cos of the input `tf.Tensor` element-wise: `cos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.cos().print();  // or tf.cos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().sin().neg().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cos($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Cos', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes tan of the input `tf.Tensor` element-wise, `tan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.tan().print();  // or tf.tan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.cos().square())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.tan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes asin of the input `tf.Tensor` element-wise: `asin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asin().print();  // or tf.asin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asin($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes acos of the input `tf.Tensor` element-wise: `acos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.acos().print();  // or tf.acos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () =>\n          dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T).neg()\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acos($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes atan of the input `tf.Tensor` element-wise: `atan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.atan().print();  // or tf.atan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().square().add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic sin of the input `tf.Tensor` element-wise: `sinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.sinh().print();  // or tf.sinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().cosh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic cos of the input `tf.Tensor` element-wise: `cosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.cosh().print();  // or tf.cosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().sinh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic tangent of the input `tf.Tensor` element-wise: `tanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, 70]);\n *\n * x.tanh().print();  // or tf.tanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => scalar(1).sub(y.square()).mulStrict(dy) as T};\n  };\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.tanh($x);\n        save([y]);\n        return y;\n      },\n      {x: $x}, grad, 'Tanh', {} /* attrs */, null /* inputsToSave */,\n      outputsToSave);\n}\n\n/**\n * Computes inverse hyperbolic sin of the input `tf.Tensor` element-wise:\n * `asinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asinh().print();  // or tf.asinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).add($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes the inverse hyperbolic cos of the input `tf.Tensor` element-wise:\n * `acosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([10, 1, 3, 5.7]);\n *\n * x.acosh().print();  // or tf.acosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.divStrict($x.toFloat().square().sub(1).sqrt() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes inverse hyperbolic tan of the input `tf.Tensor` element-wise:\n * `atanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.atanh().print();  // or tf.atanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div(scalar(1).sub($x.toFloat().square()))} as\n        {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atanh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes gause error function of the input `tf.Tensor` element-wise:\n * `erf(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.erf().print(); // or tf.erf(x);\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction erf_<T extends Tensor>(x: T|TensorLike): T {\n  let $x = convertToTensor(x, 'x', 'erf');\n  util.assert(\n      $x.dtype === 'int32' || $x.dtype === 'float32',\n      () => 'Input dtype must be `int32` or `float32`.');\n\n  if ($x.dtype === 'int32') {\n    $x = $x.toFloat();\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.mul($x.square().neg().exp().mul(2 / Math.sqrt(Math.PI)))\n    } as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.erf($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes step of the input `tf.Tensor` element-wise: `x > 0 ? 1 : alpha * x`\n *\n * ```js\n * const x = tf.tensor1d([0, 2, -1, -3]);\n *\n * x.step(.5).print();  // or tf.step(x, .5)\n * ```\n * @param x The input tensor.\n * @param alpha The gradient when input is negative.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction step_<T extends Tensor>(x: T|TensorLike, alpha = 0.0): T {\n  const $x = convertToTensor(x, 'x', 'step');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports\n  // it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.step($x, alpha), {$x}, grad);\n}\n\nexport const abs = op({abs_});\nexport const acos = op({acos_});\nexport const acosh = op({acosh_});\nexport const asin = op({asin_});\nexport const asinh = op({asinh_});\nexport const atan = op({atan_});\nexport const atanh = op({atanh_});\nexport const ceil = op({ceil_});\nexport const clipByValue = op({clipByValue_});\nexport const cos = op({cos_});\nexport const cosh = op({cosh_});\nexport const erf = op({erf_});\nexport const exp = op({exp_});\nexport const expm1 = op({expm1_});\nexport const floor = op({floor_});\nexport const log = op({log_});\nexport const log1p = op({log1p_});\nexport const logSigmoid = op({logSigmoid_});\nexport const neg = op({neg_});\nexport const reciprocal = op({reciprocal_});\nexport const round = op({round_});\nexport const rsqrt = op({rsqrt_});\nexport const sigmoid = op({sigmoid_});\nexport const sign = op({sign_});\nexport const isNaN = op({isNaN_});\nexport const isInf = op({isInf_});\nexport const isFinite = op({isFinite_});\nexport const sin = op({sin_});\nexport const sinh = op({sinh_});\nexport const softplus = op({softplus_});\nexport const sqrt = op({sqrt_});\nexport const step = op({step_});\nexport const tan = op({tan_});\nexport const tanh = op({tanh_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './add';\nimport * as broadcast_util from './broadcast_util';\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\nimport {neg} from './unary_ops';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B.\n *\n * Inputs must be the same shape. For broadcasting support, use add() instead.\n *\n * @param a The first Tensor to add element-wise.\n * @param b The second Tensor to add element-wise.\n */\nfunction addStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'addStrict');\n  const $b = convertToTensor(b, 'b', 'addStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in addStrict: ');\n  return $a.add($b);\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Supports broadcasting.\n *\n * We also expose `tf.subStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n *\n * ```js\n * // Broadcast subtract a with b.\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.scalar(5);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n * @param a The first `tf.Tensor` to subtract from.\n * @param b The second `tf.Tensor` to be subtracted. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction sub_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'sub');\n  let $b = convertToTensor(b, 'b', 'sub');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor) => {\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.neg().reshape($b.shape);\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc(\n             backend => backend.subtract($a, $b), {a: $a, b: $b}, der, 'Sub') as\n      T;\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.sub` instead.\n *\n * @param a The first Tensor to subtract element-wise.\n * @param b The second Tensor to subtract element-wise.\n */\nfunction subStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'subStrict');\n  const $b = convertToTensor(b, 'b', 'subStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in subStrict: ');\n  return $a.sub($b);\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Supports broadcasting.\n *\n * Given a `tf.Tensor` x and a `tf.Tensor` y, this operation computes x^y for\n * corresponding elements in x and y. The result's dtype will be the upcasted\n * type of the `base` and `exp` dtypes.\n *\n * ```js\n * const a = tf.tensor([[2, 3], [4, 5]])\n * const b = tf.tensor([[1, 2], [3, 0]]).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n *\n * ```js\n * const a = tf.tensor([[1, 2], [3, 4]])\n * const b = tf.tensor(2).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n * We also expose `powStrict` which has the same signature as this op and\n * asserts that `base` and `exp` are the same shape (does not broadcast).\n *\n * @param base The base `tf.Tensor` to pow element-wise.\n * @param exp The exponent `tf.Tensor` to pow element-wise.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction pow_<T extends Tensor>(\n    base: Tensor|TensorLike, exp: Tensor|TensorLike): T {\n  let $base = convertToTensor(base, 'base', 'pow');\n  let $exp = convertToTensor(exp, 'exp', 'pow');\n  [$base, $exp] = makeTypesMatch($base, $exp);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($base.shape, $exp.shape);\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$base, $exp, y] = saved;\n    const derBase = () => {\n      const expFloat = $exp.toFloat();\n      let res = dy.mul(expFloat.mul($base.pow(expFloat.sub(scalar(1)))));\n      const reduceAxes = broadcast_util.getReductionAxes($base.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($base.shape) as T;\n    };\n    const derExp = () => {\n      const condition = $base.greater(0);\n      const logBase = $base.log().where(condition, zerosLike($base));\n      let res = dy.mul(y.mul(logBase));\n      const reduceAxes = broadcast_util.getReductionAxes($exp.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($exp.shape);\n    };\n    return {a: derBase, b: derExp};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$base, $exp];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.pow($base, $exp);\n    save([$base, $exp, y]);\n    return y;\n  }, {a: $base, b: $exp}, grad, 'Pow', attrs, inputsToSave, outputsToSave) as T;\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.pow` instead.\n *\n * @param base The base tensor to pow element-wise.\n * @param exp The exponent tensor to pow element-wise.\n */\nfunction powStrict_<T extends Tensor>(base: T, exp: Tensor): T {\n  util.assertShapesMatch(base.shape, exp.shape, 'Error in powStrict: ');\n  return base.pow(exp);\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B. Supports broadcasting.\n *\n * We also expose `tf.mulStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([2, 3, 4, 5]);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n *\n * ```js\n * // Broadcast mul a with b.\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.scalar(5);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n * @param a The first tensor to multiply.\n * @param b The second tensor to multiply. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mul_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mul');\n  let $b = convertToTensor(b, 'b', 'mul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.mul($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      const res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.multiply($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Mul') as T;\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B.\n *\n * Inputs must be the same shape. For broadcasting support, use `tf.mul`.\n *\n * @param a The first tensor to multiply.\n * @param b The first tensor to multiply. Must have the same\n *    dtype as `a`.\n */\nfunction mulStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'mul');\n  const $b = convertToTensor(b, 'b', 'mul');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in multiplyStrict: ');\n  return $a.mul($b);\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n * The result is rounded with floor function.\n *\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.floorDiv(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.floorDiv(b).print();  // or tf.floorDiv(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction floorDiv_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'floorDiv');\n  let $b = convertToTensor(b, 'b', 'floorDiv');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.div($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes).reshape($b.shape);\n      }\n      const tmp = $b.square();\n      return res.div(tmp.toFloat()).neg();\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.floorDiv($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'FloorDiv') as T;\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Inputs must\n * be the same shape.\n *\n * @param a The first tensor as the numerator for element-wise division.\n * @param b The second tensor as the denominator for element-wise division.\n */\nfunction divStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'div');\n  const $b = convertToTensor(b, 'b', 'div');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in divideStrict: ');\n  return $a.div($b);\n}\n\n/**\n * Returns the mod of a and b element-wise.\n * `floor(x / y) * y + mod(x, y) = x`\n * Supports broadcasting.\n *\n * We also expose `tf.modStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * ```js\n * // Broadcast a mod b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mod_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mod');\n  let $b = convertToTensor(b, 'b', 'mod');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return dy.sum(reduceAxes).reshape($a.shape);\n      }\n      return dy;\n    };\n    const derB = () => {\n      const res = dy.mul($a.div($b).floor().neg());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.mod($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\n/**\n * Returns the mod of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use mod().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction modStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'modStrict');\n  const $b = convertToTensor(b, 'b', 'modStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in modStrict: ');\n  return $a.mod($b);\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `minimumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * ```js\n * // Broadcast minimum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction minimum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'minimum');\n  let $b = convertToTensor(b, 'b', 'minimum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.lessEqual($b).toFloat());\n    const derB = () => dy.mul($a.greater($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.minimum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Minimum') as T;\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use minimum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction minimumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'minimumStrict');\n  const $b = convertToTensor(b, 'b', 'minimumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in minimumStrict: ');\n  return $a.minimum($b);\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.maximumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * ```js\n * // Broadcast maximum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction maximum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'maximum');\n  let $b = convertToTensor(b, 'b', 'maximum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.greaterEqual($b).toFloat());\n    const derB = () => dy.mul($a.less($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.maximum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Maximum') as T;\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use maximum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction maximumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'maximumStrict');\n  const $b = convertToTensor(b, 'b', 'maximumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in maximumStrict: ');\n  return $a.maximum($b);\n}\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n *\n * Inputs must be the same shape. For broadcasting support, use\n * `tf.squaredDifference` instead.\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\nfunction squaredDifferenceStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'squaredDifferenceStrict');\n  const $b = convertToTensor(b, 'b', 'squaredDifferenceStrict');\n  util.assertShapesMatch(\n      $a.shape, $b.shape, 'Error in squaredDifferenceStrict: ');\n  return $a.squaredDifference($b);\n}\n\n/**\n * Computes arctangent of `tf.Tensor`s a / b element-wise: `atan2(a, b)`.\n * Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([1.0, 1.0, -1.0, .7]);\n * const b = tf.tensor1d([2.0, 13.0, 3.5, .21]);\n *\n * tf.atan2(a, b).print()\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan2_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'atan2');\n  let $b = convertToTensor(b, 'b', 'atan2');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const d = add($a.square(), $b.square());\n      let res = dy.mul($b.div(d));\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      const d = add($a.square(), $b.square());\n      let res = neg(dy.mul($a.div(d)));\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($b.shape);\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan2($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\nexport const addStrict = op({addStrict_});\nexport const atan2 = op({atan2_});\nexport const divStrict = op({divStrict_});\nexport const floorDiv = op({floorDiv_});\nexport const maximum = op({maximum_});\nexport const maximumStrict = op({maximumStrict_});\nexport const minimum = op({minimum_});\nexport const minimumStrict = op({minimumStrict_});\nexport const mod = op({mod_});\nexport const modStrict = op({modStrict_});\nexport const mul = op({mul_});\nexport const mulStrict = op({mulStrict_});\nexport const pow = op({pow_});\nexport const powStrict = op({powStrict_});\nexport const squaredDifferenceStrict = op({squaredDifferenceStrict_});\nexport const sub = op({sub_});\nexport const subStrict = op({subStrict_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Div, DivInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {floorDiv} from './binary_ops';\nimport {op} from './operation';\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction div_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'int32' && $b.dtype === 'int32') {\n    return floorDiv($a, $b);\n  }\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.realDivide($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: DivInputs = {a: $a, b: $b};\n  const attrs = {};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* gradient */, Div,\n             attrs) as T;\n}\n\nexport const div = op({div_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\nimport {computeStrides} from '../util';\n\n/**\n * Validate gather nd inputs.\n *\n * @param tensor The tensor contains the source values.\n * @param indices The tensor contains the indices to slice the source.\n *\n * @returns [resultShape, numUpdates, sliceSize, strides]\n */\nexport function prepareAndValidate(\n    tensor: Tensor, indices: Tensor): [number[], number, number, number[]] {\n  if (tensor.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the input to be rank 1 or higher,' +\n        ` but the rank was ${tensor.rank}.`);\n  }\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(\n        'tf.gatherND() expects the indices to be int32 type,' +\n        ` but the dtype was ${indices.dtype}.`);\n  }\n  if (indices.shape[indices.rank - 1] > tensor.rank) {\n    throw new Error(\n        'index innermost dimension length must be <= tensor rank; saw: ' +\n        `${indices.shape[indices.rank - 1]} vs. ${tensor.rank}`);\n  }\n\n  if (tensor.size === 0) {\n    throw new Error(\n        'Requested more than 0 entries, but input is empty.' +\n        ` Input shape: ${tensor.shape}.`);\n  }\n\n  const indicesShape = indices.shape;\n  const sliceRank = indicesShape[indicesShape.length - 1];\n\n  // The result shape is\n  //   indices.shape[:-1] + params.shape[indices.shape[-1]:]\n  let nResult = 1;\n  for (let i = 0; i < indicesShape.length - 1; ++i) {\n    nResult *= indicesShape[i];\n  }\n\n  const inputShape = tensor.shape;\n\n  const resultShape = indicesShape.slice();\n  resultShape.pop();\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < tensor.rank; ++i) {\n    sliceSize *= inputShape[i];\n    resultShape.push(inputShape[i]);\n  }\n\n  const strides =\n      [...computeStrides(tensor.shape).map(stride => stride / sliceSize),\n       1].slice(0, sliceRank);\n\n  return [resultShape, nResult, sliceSize, strides];\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inputs of size above this threshold will be parallelized by calling multiple\n * shader programs.\n */\nimport {nearestDivisor} from '../util';\n\nexport const PARALLELIZE_THRESHOLD = 30;\n\nexport interface ReduceInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n}\n\nexport function computeOptimalWindowSize(inSize: number): number {\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    return inSize;\n  }\n  return nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {TensorInfo} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {computeStrides, sizeFromShape} from '../util';\n\n/**\n * Check whether updates.shape = indices.shape[:batchDim] +\n * shape[sliceDim:]\n *\n * @param x The input tensor.\n */\nexport function validateUpdateShape(\n    shape: number[], indices: Tensor, updates: Tensor) {\n  const sliceDim = (indices.rank > 1) ? indices.shape[indices.rank - 1] : 1;\n  const batchDim = (indices.rank > 1) ? indices.rank - 1 : 1;\n\n  const shapeError = 'Must have updates.shape = indices.shape[:batchDim] + ' +\n      `shape[sliceDim:], got updates.shape: ${updates.shape}` +\n      `, indices.shape: ${indices.shape}, shape: ${shape}` +\n      `, sliceDim: ${sliceDim}, and batchDim: ${batchDim}.`;\n\n  if (updates.rank < batchDim) {\n    throw new Error(shapeError + ` update.rank < ${batchDim}. `);\n  }\n  if (shape.length < sliceDim + (updates.rank - batchDim)) {\n    throw new Error(\n        shapeError +\n        ` Output shape length < ${sliceDim + (updates.rank - batchDim)}`);\n  }\n  if (updates.rank !== batchDim + shape.length - sliceDim) {\n    throw new Error(\n        shapeError + ` update.rank != ${batchDim + shape.length - sliceDim}`);\n  }\n  for (let d = 0; d < batchDim; ++d) {\n    if (updates.shape[d] !== indices.shape[d]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d}] (${updates.shape[d]}) != indices.shape[${d}] (${\n              indices.shape[d]}).`);\n    }\n  }\n  for (let d = 0; d < updates.rank - batchDim; ++d) {\n    if (updates.shape[d + batchDim] !== shape[d + sliceDim]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d + batchDim}] (${\n              updates.shape[d + batchDim]}) != shape[${d + batchDim}] (${\n              shape[d + batchDim]})`);\n    }\n  }\n}\n\nexport interface ScatterShapeInfo {\n  sliceRank: number;\n  numUpdates: number;\n  sliceSize: number;\n  strides: number[];\n  outputSize: number;\n}\n/**\n * Validate scatter nd inputs.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n */\nexport function validateInput(\n    updates: Tensor, indices: Tensor, shape: number[]) {\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (updates.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the updates to be rank 1 or higher,' +\n        ` but the rank was ${updates.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(`The dtype of 'indices' should be int32, but got dtype: ${\n        indices.dtype}`);\n  }\n  if (shape.length < 1) {\n    throw new Error(\n        `Output rank must be greater or equal to 1, but got shape: ${shape}`);\n  }\n\n  if (shape.length === 0) {\n    if (indices.size === 0) {\n      throw new Error(`Indices specified for empty output. indices shape: ${\n          indices.shape}`);\n    }\n    if (updates.size === 0) {\n      throw new Error(`Updates specified for empty output. updates shape: ${\n          updates.shape}`);\n    }\n  }\n\n  validateUpdateShape(shape, indices, updates);\n}\n\n/**\n * Calculate the shape information for the output.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n *\n * @returns ScatterShapeInfo\n */\nexport function calculateShapes(\n    updates: TensorInfo, indices: TensorInfo,\n    shape: number[]): ScatterShapeInfo {\n  // Calculate the number of dimensions in indices\n  const indicesRank = indices.shape.length;\n  const sliceRank = (indicesRank > 1) ? indices.shape[indicesRank - 1] : 1;\n\n  // Calculate the number of elements that make up each slice of our updated\n  // tensor. This allows us to work with flattened tensors and copy over whole\n  // slices at a time.\n  const totalNd = shape.length;\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < totalNd; ++i) {\n    sliceSize *= shape[i];\n  }\n\n  const safeSliceDim = (sliceRank < 1) ? 1 : sliceRank;\n  const numUpdates = sizeFromShape(indices.shape) / safeSliceDim;\n\n  const strides = [...computeStrides(shape.slice(0, sliceRank)), 1];\n  const outputSize = sizeFromShape(shape);\n  return {sliceRank, numUpdates, sliceSize, strides, outputSize};\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\nexport function assertParamsValid(\n    input: Tensor, begin: number[], size: number[]): void {\n  util.assert(\n      input.rank === begin.length,\n      () => `Error in slice${input.rank}D: Length of begin ${begin} must ` +\n          `match the rank of the array (${input.rank}).`);\n  util.assert(\n      input.rank === size.length,\n      () => `Error in slice${input.rank}D: Length of size ${size} must ` +\n          `match the rank of the array (${input.rank}).`);\n\n  for (let i = 0; i < input.rank; ++i) {\n    util.assert(\n        begin[i] + size[i] <= input.shape[i],\n        () => `Error in slice${input.rank}D: begin[${i}] + size[${i}] ` +\n            `(${begin[i] + size[i]}) would overflow input.shape[${i}] (${\n                  input.shape[i]})`);\n  }\n}\n\n/** Converts a binary mask to an array of axes. Used in stridedSlice(). */\nexport function maskToAxes(mask: number): number[] {\n  const axes = [];\n  let axis = 0;\n  while (mask > 0) {\n    if (mask & 1) {\n      axes.push(axis);\n    }\n    mask /= 2;\n    axis++;\n  }\n  return axes;\n}\n\n/** Computes the output shape given the strided slice params. */\nexport function computeOutShape(\n    begin: number[], end: number[], strides: number[]): number[] {\n  const size = [];\n  for (let axis = 0; axis < begin.length; axis++) {\n    size[axis] = Math.ceil((end[axis] - begin[axis]) / strides[axis]);\n  }\n  return size;\n}\n\nexport function startForAxis(\n    beginMask: number, startIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let start = startIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of beginMask or the begin index is not set\n  // for the axis.\n  if (beginMask & 1 << axis || start == null) {\n    if (stride > 0) {\n      // Forward iteration - use the first element. These values will get\n      // clamped below (Note: We could have set them to 0 and axis_size-1, but\n      // use lowest() and max() to maintain symmetry with StopForAxis())\n      start = Number.MIN_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the last element.\n      start = Number.MAX_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (start < 0) {\n    start += axisSize;\n  }\n\n  // Clamping\n  start = util.clamp(0, start, axisSize - 1);\n\n  return start;\n}\n\nexport function stopForAxis(\n    endMask: number, stopIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let stop = stopIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of endMask or if the stop index is not set\n  // for this axis.\n  if (endMask & (1 << axis) || stop == null) {\n    if (stride > 0) {\n      // Forward iteration - use the last element. These values will get\n      // clamped below\n      stop = Number.MAX_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the first element.\n      stop = Number.MIN_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (stop < 0) {\n    stop += axisSize;\n  }\n\n  // Clamping\n  // Because the end index points one past the last element, we need slightly\n  // different clamping ranges depending on the direction.\n  if (stride > 0) {\n    // Forward iteration\n    stop = util.clamp(0, stop, axisSize);\n  } else {\n    // Backward iteration\n    stop = util.clamp(-1, stop, axisSize - 1);\n  }\n\n  return stop;\n}\n\n/**\n * Returns true if the slice occupies a continous set of elements in the\n * 'flat' space.\n */\nexport function isSliceContinous(\n    shape: number[], begin: number[], size: number[]) {\n  // Index of the first axis that has size > 1.\n  let firstNonOneAxis = size.length;\n  for (let i = 0; i < size.length; i++) {\n    if (size[i] > 1) {\n      firstNonOneAxis = i;\n      break;\n    }\n  }\n\n  for (let i = firstNonOneAxis + 1; i < size.length; i++) {\n    if (begin[i] > 0 || size[i] !== shape[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function computeFlatOffset(begin: number[], strides: number[]): number {\n  let flatOffset = begin.length > 0 ? begin[begin.length - 1] : 1;\n  for (let i = 0; i < begin.length - 1; i++) {\n    flatOffset += begin[i] * strides[i];\n  }\n  return flatOffset;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {CustomGradientFunc, ENGINE} from './engine';\nimport {Scalar, Tensor, Variable} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {convertToTensor, convertToTensorArray} from './tensor_util_env';\nimport {TensorLike} from './types';\nimport * as util from './util';\n\n/**\n * Provided `f(x)`, returns another function `g(x, dy?)`, which gives the\n * gradient of `f(x)` with respect to `x`.\n *\n * If `dy` is provided, the gradient of `f(x).mul(dy).sum()` with respect to\n * `x` is computed instead. `f(x)` must take a single tensor `x` and return a\n * single tensor `y`. If `f()` takes multiple inputs, use `tf.grads` instead.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.grad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * g(x).print();\n * ```\n *\n * ```js\n * // f(x) = x ^ 3\n * const f = x => x.pow(tf.scalar(3, 'int32'));\n * // f'(x) = 3x ^ 2\n * const g = tf.grad(f);\n * // f''(x) = 6x\n * const gg = tf.grad(g);\n *\n * const x = tf.tensor1d([2, 3]);\n * gg(x).print();\n * ```\n *\n * @param f The function f(x), to compute gradient for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grad(f: (x: Tensor) => Tensor): (\n    x: TensorLike|Tensor, dy?: TensorLike|Tensor) => Tensor {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grad(f) must be a function');\n  return (x: TensorLike|Tensor, dy?: TensorLike|Tensor): Tensor => {\n    // x can be of any dtype, thus null as the last argument.\n    const $x = convertToTensor(x, 'x', 'tf.grad', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grad') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f($x), [$x], $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grad(f)(x, dy) must match the shape ' +\n                'returned by f(x)');\n      }\n      checkGrads(grads);\n      return grads[0];\n    });\n  };\n}\n\n/**\n * Provided `f(x1, x2,...)`, returns another function `g([x1, x2,...], dy?)`,\n * which gives an array of gradients of `f()` with respect to each input\n * [`x1`,`x2`,...].\n *\n * If `dy` is passed when calling `g()`, the gradient of\n * `f(x1,...).mul(dy).sum()` with respect to each input is computed instead.\n * The provided `f` must take one or more tensors and return a single tensor\n * `y`. If `f()` takes a single input, we recommend using `tf.grad` instead.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df / da = b, df / db = a\n * const g = tf.grads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const [da, db] = g([a, b]);\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n *\n * @param f The function `f(x1, x2,...)` to compute gradients for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grads(f: (...args: Tensor[]) => Tensor): (\n    args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike) => Tensor[] {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grads(f) must be a function');\n  return (args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike): Tensor[] => {\n    util.assert(\n        Array.isArray(args),\n        () => 'The args passed in grads(f)(args) must be an array ' +\n            'of `Tensor`s or `TensorLike`s');\n    // args can be of any dtype, thus null as the last argument.\n    const $args = convertToTensorArray(args, 'args', 'tf.grads', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grads') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f(...$args), $args, $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grads(f)([x1,...], dy) must ' +\n                'match the shape returned by f([x1,...])');\n      }\n      checkGrads(grads);\n      return grads;\n    });\n  };\n}\n\n/**\n * Like `tf.grad`, but also returns the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grad: The gradient of `f(x)` w.r.t `x` (result of `tf.grad`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.valueAndGrad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * const {value, grad} = g(x);\n *\n * console.log('value');\n * value.print();\n * console.log('grad');\n * grad.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrad<I extends Tensor, O extends Tensor>(f: (x: I) => O): (\n    x: I, dy?: O) => {\n  value: O;\n  grad: I;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrad(f) must be a function');\n  return (x: I, dy?: O) => {\n    util.assert(\n        x instanceof Tensor,\n        () => 'The x passed in valueAndGrad(f)(x) must be a tensor');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrad(f)(x, dy) must be a tensor');\n    const {grads, value} = ENGINE.gradients(() => f(x), [x], dy);\n    checkGrads(grads);\n    return {grad: grads[0] as I, value};\n  };\n}\n\n/**\n * Like `tf.grads`, but returns also the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grads: The gradients of `f()` w.r.t each input (result of `tf.grads`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df/da = b, df/db = a\n * const g = tf.valueAndGrads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const {value, grads} = g([a, b]);\n *\n * const [da, db] = grads;\n *\n * console.log('value');\n * value.print();\n *\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrads<O extends Tensor>(f: (...args: Tensor[]) => O): (\n    args: Tensor[], dy?: O) => {\n  grads: Tensor[];\n  value: O;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrads(f) must be a function');\n  return (args: Tensor[], dy?: O) => {\n    util.assert(\n        Array.isArray(args) && args.every(arg => arg instanceof Tensor),\n        () => 'The args passed in valueAndGrads(f)(args) must be array of ' +\n            'tensors');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrads(f)(args, dy) must be a tensor');\n    const res = ENGINE.gradients(() => f(...args), args, dy);\n    if (dy != null) {\n      util.assertShapesMatch(\n          res.value.shape, dy.shape,\n          'The shape of dy passed in valueAndGrads(f)([x1,...], dy) must ' +\n              'match the shape returned by f([x1,...])');\n    }\n    checkGrads(res.grads);\n    return res;\n  };\n}\n\n/**\n * Computes and returns the gradient of f(x) with respect to the list of\n * trainable variables provided by `varList`. If no list is provided, it\n * defaults to all trainable variables.\n *\n * ```js\n * const a = tf.variable(tf.tensor1d([3, 4]));\n * const b = tf.variable(tf.tensor1d([5, 6]));\n * const x = tf.tensor1d([1, 2]);\n *\n * // f(a, b) = a * x ^ 2 + b * x\n * const f = () => a.mul(x.square()).add(b.mul(x)).sum();\n * // df/da = x ^ 2, df/db = x\n * const {value, grads} = tf.variableGrads(f);\n *\n * Object.keys(grads).forEach(varName => grads[varName].print());\n * ```\n *\n * @param f The function to execute. f() should return a scalar.\n * @param varList The list of variables to compute the gradients with respect\n *     to. Defaults to all trainable variables.\n * @returns An object with the following keys and values:\n *   - `value`: The value of the function `f`.\n *   - `grads`: A map from the names of the variables to the gradients.\n *     If the `varList` argument is provided explicitly and contains a subset of\n *     non-trainable variables, this map in the return value will contain keys\n *     that map the names of the non-trainable variables to `null`.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction variableGrads(f: () => Scalar, varList?: Variable[]):\n    {value: Scalar, grads: NamedTensorMap} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in variableGrads(f) must be a function');\n  util.assert(\n      varList == null ||\n          Array.isArray(varList) && varList.every(v => v instanceof Variable),\n      () =>\n          'The varList passed in variableGrads(f, varList) must be an array ' +\n          'of variables');\n\n  const specifiedVarList = varList != null;\n  if (!specifiedVarList) {\n    // Get all of the trainable variables.\n    varList = [];\n    for (const varName in ENGINE.registeredVariables) {\n      varList.push(ENGINE.registeredVariables[varName]);\n    }\n  }\n\n  const specifiedNonTrainable: Variable[] =\n      specifiedVarList ? varList.filter(variable => !variable.trainable) : null;\n\n  // Prune non-trainable variables.\n  const originalVarCount = varList.length;\n  varList = varList.filter(variable => variable.trainable);\n  util.assert(\n      varList.length > 0,\n      () => `variableGrads() expects at least one of the input variables to ` +\n          `be trainable, but none of the ${originalVarCount} variables is ` +\n          `trainable.`);\n\n  const allowNoGradients = true;\n  const {value, grads} = ENGINE.gradients(f, varList, null, allowNoGradients);\n\n  util.assert(\n      grads.some(g => g != null),\n      () => 'Cannot find a connection between any variable and the result of ' +\n          'the loss function y=f(x). Please make sure the operations that ' +\n          'use variables are inside the function f passed to minimize().');\n  util.assert(\n      value.rank === 0,\n      () => `The f passed in variableGrads(f) must return a scalar, but it ` +\n          `returned a rank-${value.rank} tensor`);\n\n  const namedGrads: NamedTensorMap = {};\n  varList.forEach((v, i) => {\n    if (grads[i] != null) {\n      namedGrads[v.name] = grads[i];\n    }\n  });\n  if (specifiedNonTrainable != null) {\n    // If varList is explicitly provided and contains non-trainable values,\n    // add them to the returned gradients with `null` values.\n    specifiedNonTrainable.forEach(v => namedGrads[v.name] = null);\n  }\n  return {value, grads: namedGrads};\n}\n\n/**\n * Overrides the gradient computation of a function `f`.\n *\n * Takes a function\n * `f(...inputs, save) => {value: Tensor, gradFunc: (dy, saved) => Tensor[]}`\n * and returns another function `g(...inputs)` which takes the same inputs as\n * `f`. When called, `g` returns `f().value`. In backward mode, custom gradients\n * with respect to each input of `f` are computed using `f().gradFunc`.\n *\n * The `save` function passsed to `f` should be used for saving tensors needed\n * in the gradient. And the `saved` passed to the `gradFunc` is a\n * `NamedTensorMap`, which contains those saved tensor.\n *\n * ```js\n * const customOp = tf.customGrad((x, save) => {\n *   // Save x to make sure it's available later for the gradient.\n *   save([x]);\n *   // Override gradient of our custom x ^ 2 op to be dy * abs(x);\n *   return {\n *     value: x.square(),\n *     // Note `saved.x` which points to the `x` we saved earlier.\n *     gradFunc: (dy, saved) => [dy.mul(saved[0].abs())]\n *   };\n * });\n *\n * const x = tf.tensor1d([-1, -2, 3]);\n * const dx = tf.grad(x => customOp(x));\n *\n * console.log(`f(x):`);\n * customOp(x).print();\n * console.log(`f'(x):`);\n * dx(x).print();\n * ```\n *\n * @param f The function to evaluate in forward mode, which should return\n *     `{value: Tensor, gradFunc: (dy, saved) => Tensor[]}`, where `gradFunc`\n *     returns the custom gradients of `f` with respect to its inputs.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n    (...args: Tensor[]) => T {\n  return ENGINE.customGrad(f);\n}\n\nfunction checkGrads(grads: Tensor[]) {\n  const numNullGradients = grads.filter(g => g == null).length;\n  if (numNullGradients > 0) {\n    throw new Error(\n        `Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.`);\n  }\n}\n\nexport {\n  customGrad,\n  variableGrads,\n  valueAndGrad,\n  valueAndGrads,\n  grad,\n  grads,\n};\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Computes the softmax normalized vector given the logits.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction softmax_<T extends Tensor>(logits: T|TensorLike, dim = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'softmax', 'float32');\n\n  if (dim === -1) {\n    dim = $logits.rank - 1;\n  }\n  if (dim !== $logits.rank - 1) {\n    throw Error(\n        'Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and dim was ${dim}`);\n  }\n\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.softmax($logits, dim);\n        save([y]);\n        return y;\n      },\n      {logits: $logits},\n      (dy: T, saved: Tensor[]) => {\n        const [y] = saved;\n        const dyTimesY = dy.mul(y);\n        const keepDims = true;\n\n        return {\n          logits: () => dyTimesY.sub(dyTimesY.sum([dim], keepDims).mul(y))\n        };\n      },\n      'Softmax', {dim}, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes the log softmax.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param axis The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction logSoftmax_<T extends Tensor>(logits: T|TensorLike, axis = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'logSoftmax');\n\n  if (axis === -1) {\n    axis = $logits.rank - 1;\n  }\n  if (axis !== $logits.rank - 1) {\n    throw Error(\n        'Log Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and axis was ${axis}`);\n  }\n\n  const customOp = customGrad((logits: Tensor, save: GradSaveFunc) => {\n    const keepDims = true;\n    const xMax = logits.max(axis, true);\n    const shifted = logits.sub(xMax);\n    const value =\n        shifted.toFloat().sub(shifted.exp().sum(axis, keepDims).log());\n    save([value]);\n    const gradFunc = (dy: T, saved: Tensor[]) => {\n      const [value] = saved;\n      const softmax = value.exp();\n      return dy.sub(dy.sum(axis, keepDims).mul(softmax));\n    };\n\n    return {value, gradFunc};\n  });\n\n  return customOp($logits) as T;\n}\n\nexport const softmax = op({softmax_});\nexport const logSoftmax = op({logSoftmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.\n *\n * The returned `tf.Tensor`'s dimension `i` will correspond to the input\n * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,\n * where `n` is the rank of the input `tf.Tensor`. Hence by default, this\n * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n *\n * a.transpose().print();  // or tf.transpose(a)\n * ```\n *\n * @param x The tensor to transpose.\n * @param perm The permutation of the dimensions of a.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction transpose_<T extends Tensor>(x: T|TensorLike, perm?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'transpose');\n\n  if (perm == null) {\n    perm = $x.shape.map((s, i) => i).reverse();\n  }\n  util.assert(\n      $x.rank === perm.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of perm ${perm}.`);\n  perm.forEach(axis => {\n    util.assert(\n        axis >= 0 && axis < $x.rank,\n        () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` +\n            ` but got ${perm}`);\n  });\n\n  if ($x.rank <= 1) {\n    return $x.clone();\n  }\n\n  const attrs = {perm};\n  return ENGINE.runKernelFunc(\n      backend => backend.transpose($x, perm), {x: $x}, null /* gradient */,\n      'Transpose', attrs);\n}\n\nexport const transpose = op({transpose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../ops/conv_util';\nimport {FusedBatchMatMulConfig, FusedConv2DConfig} from '../ops/fused_util';\nimport {Backend, DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {BackendValues, DataType, Rank, ShapeMap} from '../types';\n\nexport const EPSILON_FLOAT32 = 1e-7;\nexport const EPSILON_FLOAT16 = 1e-4;\n\n// Required information for all backends.\nexport interface BackendTimingInfo {\n  kernelMs: number|{error: string};\n  getExtraProfileInfo?(): string;  // a field for additional timing information\n                                   // e.g. packing / unpacking for WebGL backend\n}\n\nexport interface TensorStorage {\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n  disposeData(dataId: DataId): void;\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId;\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void;\n  memory(): {unreliable: boolean;};  // Backend-specific information.\n  /** Returns number of data ids currently in the storage. */\n  numDataIds(): number;\n}\n\n/** Convenient class for storing tensor-related data. */\nexport class DataStorage<T> {\n  private data = new WeakMap<DataId, T>();\n  private dataIdsCount = 0;\n\n  constructor(private backend: KernelBackend, private dataMover: DataMover) {}\n\n  get(dataId: DataId) {\n    if (!this.data.has(dataId)) {\n      this.dataMover.moveData(this.backend, dataId);\n    }\n    return this.data.get(dataId);\n  }\n\n  set(dataId: DataId, value: T): void {\n    this.dataIdsCount++;\n    this.data.set(dataId, value);\n  }\n\n  has(dataId: DataId): boolean {\n    return this.data.has(dataId);\n  }\n\n  delete(dataId: DataId): boolean {\n    this.dataIdsCount--;\n    return this.data.delete(dataId);\n  }\n\n  numDataIds(): number {\n    return this.dataIdsCount;\n  }\n}\n\nexport interface DataMover {\n  /**\n   * To be called by backends whenever they see a dataId that they don't own.\n   * Upon calling this method, the mover will fetch the tensor from another\n   * backend and register it with the current active backend.\n   */\n  moveData(backend: KernelBackend, dataId: DataId): void;\n}\n\nexport interface BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo>;\n}\n\n/**\n * The interface that defines the kernels that should be implemented when\n * adding a new backend. New backends don't need to implement every one of the\n * methods, this can be done gradually (throw an error for unimplemented\n * methods).\n */\nexport class KernelBackend implements TensorStorage, Backend, BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo> {\n    return notYetImplemented('time');\n  }\n  read(dataId: object): Promise<BackendValues> {\n    return notYetImplemented('read');\n  }\n  readSync(dataId: object): BackendValues {\n    return notYetImplemented('readSync');\n  }\n  numDataIds(): number {\n    return notYetImplemented('numDataIds');\n  }\n  disposeData(dataId: object): void {\n    return notYetImplemented('disposeData');\n  }\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    return notYetImplemented('write');\n  }\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    return notYetImplemented('move');\n  }\n  memory(): {unreliable: boolean; reasons?: string[]} {\n    return notYetImplemented('memory');\n  }\n  /** Returns the highest precision for floats in bits (e.g. 16 or 32) */\n  floatPrecision(): 16|32 {\n    return notYetImplemented('floatPrecision');\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    return notYetImplemented('batchMatMul');\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    return notYetImplemented('fusedBatchMatMul');\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    return notYetImplemented('slice');\n  }\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    return notYetImplemented('stridedSlice');\n  }\n  unstack(x: Tensor, axis: number): Tensor[] {\n    return notYetImplemented('unstack');\n  }\n  reverse<T extends Tensor>(a: T, axis: number[]): T {\n    return notYetImplemented('reverse');\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    return notYetImplemented('concat');\n  }\n\n  neg<T extends Tensor>(a: T): T {\n    return notYetImplemented('neg');\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('add');\n  }\n  addN<T extends Tensor>(tensors: T[]): T {\n    return notYetImplemented('addN');\n  }\n  subtract(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('subtract');\n  }\n  multiply(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('multiply');\n  }\n  realDivide(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('realDivide');\n  }\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('floorDiv');\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('sum');\n  }\n  prod(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('prod');\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    return notYetImplemented('unsortedSegmentSum');\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMin');\n  }\n  argMax(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMax');\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('equal');\n  }\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('notEqual');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('less');\n  }\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('lessEqual');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greater');\n  }\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greaterEqual');\n  }\n\n  logicalNot<T extends Tensor>(a: T): T {\n    return notYetImplemented('logicalNot');\n  }\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalAnd');\n  }\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalOr');\n  }\n\n  where(condition: Tensor): Tensor2D {\n    return notYetImplemented('where');\n  }\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('select');\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    return notYetImplemented('topk');\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('min');\n  }\n  minimum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('minimum');\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('mod');\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('max');\n  }\n  maximum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('maximum');\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('all');\n  }\n  any(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('any');\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('squaredDifference');\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    return notYetImplemented('ceil');\n  }\n  floor<T extends Tensor>(x: T): T {\n    return notYetImplemented('floor');\n  }\n  round<T extends Tensor>(x: T): T {\n    return notYetImplemented('round');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    return notYetImplemented('sign');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    return notYetImplemented('isNaN');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    return notYetImplemented('isInf');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    return notYetImplemented('isFinite');\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    return notYetImplemented('pow');\n  }\n  exp<T extends Tensor>(x: T): T {\n    return notYetImplemented('exp');\n  }\n  expm1<T extends Tensor>(x: T): T {\n    return notYetImplemented('expm1');\n  }\n  softmax<T extends Tensor>(x: T, dim: number): T {\n    return notYetImplemented('softmax');\n  }\n  log<T extends Tensor>(x: T): T {\n    return notYetImplemented('log');\n  }\n  log1p<T extends Tensor>(x: T): T {\n    return notYetImplemented('log1p');\n  }\n  sqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('sqrt');\n  }\n  rsqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('rsqrt');\n  }\n  square<T extends Tensor>(x: T): T {\n    return notYetImplemented('square');\n  }\n  reciprocal<T extends Tensor>(x: T): T {\n    return notYetImplemented('reciprocal');\n  }\n  relu<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu');\n  }\n  relu6<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu6');\n  }\n  prelu<T extends Tensor>(x: T, a: T): T {\n    return notYetImplemented('prelu');\n  }\n  elu<T extends Tensor>(x: T): T {\n    return notYetImplemented('elu');\n  }\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    return notYetImplemented('eluDer');\n  }\n  selu<T extends Tensor>(x: T): T {\n    return notYetImplemented('selu');\n  }\n  int<T extends Tensor>(x: T): T {\n    return notYetImplemented('int');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    return notYetImplemented('clip');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    return notYetImplemented('abs');\n  }\n  complexAbs<T extends Tensor>(x: T): T {\n    return notYetImplemented('complexAbs');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    return notYetImplemented('sigmoid');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    return notYetImplemented('softplus');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    return notYetImplemented('sin');\n  }\n  cos<T extends Tensor>(x: T): T {\n    return notYetImplemented('cos');\n  }\n  tan<T extends Tensor>(x: T): T {\n    return notYetImplemented('tan');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    return notYetImplemented('asin');\n  }\n  acos<T extends Tensor>(x: T): T {\n    return notYetImplemented('acos');\n  }\n  atan<T extends Tensor>(x: T): T {\n    return notYetImplemented('atan');\n  }\n  atan2<T extends Tensor>(a: T, b: T): T {\n    return notYetImplemented('atan2');\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('sinh');\n  }\n  cosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('cosh');\n  }\n  tanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('tanh');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('asinh');\n  }\n  acosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('acosh');\n  }\n  atanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('atanh');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    return notYetImplemented('erf');\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    return notYetImplemented('step');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedConv2d');\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2d');\n  }\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('conv2dDerInput');\n  }\n  conv2dDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2dDerFilter');\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedDepthwiseConv2D');\n  }\n\n  depthwiseConv2D(input: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2D');\n  }\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerInput');\n  }\n  depthwiseConv2DDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerFilter');\n  }\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3d');\n  }\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    return notYetImplemented('conv3dDerInput');\n  }\n  conv3dDerFilter(x: Tensor5D, dY: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3dDerFilter');\n  }\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('maxPool');\n  }\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('maxPoolBackprop');\n  }\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPool');\n  }\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPoolBackprop');\n  }\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3d');\n  }\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3dBackprop');\n  }\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3d');\n  }\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3dBackprop');\n  }\n\n  reshape<T extends Tensor, R extends Rank>(x: T, shape: ShapeMap[R]):\n      Tensor<R> {\n    return notYetImplemented('reshape');\n  }\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return notYetImplemented('cast');\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    return notYetImplemented('tile');\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    return notYetImplemented('pad');\n  }\n\n  transpose<T extends Tensor>(x: T, perm: number[]): T {\n    return notYetImplemented('transpose');\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    return notYetImplemented('gather');\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    return notYetImplemented('gatherND');\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return notYetImplemented('scatterND');\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    return notYetImplemented('batchToSpaceND');\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T {\n    return notYetImplemented('spaceToBatchND');\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeBilinear');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    return notYetImplemented('resizeBilinearBackprop');\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHEight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighbor');\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighborBackprop');\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    return notYetImplemented('batchNormalization');\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    return notYetImplemented('localResponseNormalization4D');\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D, radius: number,\n      bias: number, alpha: number, beta: number): Tensor4D {\n    return notYetImplemented('LRNGrad');\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    return notYetImplemented('multinomial');\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    return notYetImplemented('oneHot');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    return notYetImplemented('cumsum');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold?: number): Tensor1D {\n    return notYetImplemented('nonMaxSuppression');\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('fft');\n  }\n  ifft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('ifft');\n  }\n  complex<T extends Tensor>(real: T, imag: T): T {\n    return notYetImplemented('complex');\n  }\n  real<T extends Tensor>(input: T): T {\n    return notYetImplemented('real');\n  }\n  imag<T extends Tensor>(input: T): T {\n    return notYetImplemented('imag');\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    return notYetImplemented('cropAndResize');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D {\n    return notYetImplemented('depthToSpace');\n  }\n\n  // Aligns with the \"SplitV\" kernel in TensorFlow.\n  split<T extends Tensor>(value: T, sizeSplits: number[], axis: number): T[] {\n    return notYetImplemented('split');\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    return notYetImplemented('sparseToDense');\n  }\n\n  diag(x: Tensor): Tensor {\n    return notYetImplemented('diag');\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    return notYetImplemented('fill');\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('onesLike');\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('zerosLike');\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return notYetImplemented('linspace');\n  }\n\n  dispose(): void {\n    return notYetImplemented('dispose');\n  }\n}\n\nfunction notYetImplemented(kernelName: string): never {\n  throw new Error(\n      `'${kernelName}' not yet implemented or not found in the registry. ` +\n      `Did you forget to import the kernel?`);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\ntype PadType = 'SAME'|'VALID'|'NUMBER';\n\nexport type PadInfo = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  type: PadType\n};\n\nexport type PadInfo3D = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  front: number,\n  back: number,\n  type: PadType\n};\n\n/**\n * Information about the forward pass of a convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv2DInfo = {\n  batchSize: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideHeight: number,\n  strideWidth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo,\n  inShape: [number, number, number, number],\n  outShape: [number, number, number, number],\n  filterShape: [number, number, number, number]\n};\n\nexport function computePool2DInfo(\n    inShape: [number, number, number, number],\n    filterSize: [number, number]|number, strides: number|[number, number],\n    dilations: number|[number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  const [filterHeight, filterWidth] = parseTupleParam(filterSize);\n\n  let filterShape: [number, number, number, number];\n  if (dataFormat === 'channelsLast') {\n    filterShape = [filterHeight, filterWidth, inShape[3], inShape[3]];\n  } else if (dataFormat === 'channelsFirst') {\n    filterShape = [filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv2DInfo(\n      inShape, filterShape, strides, dilations, pad, roundingMode, false,\n      dataFormat);\n}\n\n/**\n * Computes the information for a forward pass of a pooling3D operation.\n */\nexport function computePool3DInfo(\n    inShape: [number, number, number, number, number],\n    filterSize: number|[number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC'): Conv3DInfo {\n  const [filterDepth, filterHeight, filterWidth] = parse3TupleParam(filterSize);\n\n  let filterShape: [number, number, number, number, number];\n  let $dataFormat: 'channelsFirst'|'channelsLast';\n  if (dataFormat === 'NDHWC') {\n    $dataFormat = 'channelsLast';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[4], inShape[4]];\n  } else if (dataFormat === 'NCDHW') {\n    $dataFormat = 'channelsFirst';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv3DInfo(\n      inShape, filterShape, strides, dilations, pad, false, $dataFormat,\n      roundingMode);\n}\n\n/**\n * Computes the information for a forward pass of a convolution/pooling\n * operation.\n */\nexport function computeConv2DInfo(\n    inShape: [number, number, number, number],\n    filterShape: [number, number, number, number],\n    strides: number|[number, number], dilations: number|[number, number],\n    pad: 'same'|'valid'|number, roundingMode?: 'floor'|'round'|'ceil',\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  let [batchSize, inHeight, inWidth, inChannels] = [-1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterHeight, filterWidth, , filterChannels] = filterShape;\n  const [strideHeight, strideWidth] = parseTupleParam(strides);\n  const [dilationHeight, dilationWidth] = parseTupleParam(dilations);\n\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outHeight, outWidth} = getPadAndOutInfo(\n      pad, inHeight, inWidth, strideHeight, strideWidth, effectiveFilterHeight,\n      effectiveFilterWidth, roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inHeight,\n    inWidth,\n    inChannels,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideHeight,\n    strideWidth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\n/**\n * Information about the forward pass of a 3D convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv3DInfo = {\n  batchSize: number,\n  inDepth: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideDepth: number,\n  strideHeight: number,\n  strideWidth: number,\n  dilationDepth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterDepth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterDepth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo3D,\n  inShape: [number, number, number, number, number],\n  outShape: [number, number, number, number, number],\n  filterShape: [number, number, number, number, number]\n};\n\n/**\n * Computes the information for a forward pass of a 3D convolution/pooling\n * operation.\n */\nexport function computeConv3DInfo(\n    inShape: [number, number, number, number, number],\n    filterShape: [number, number, number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast',\n    roundingMode?: 'floor'|'round'|'ceil'): Conv3DInfo {\n  let [batchSize, inDepth, inHeight, inWidth, inChannels] =\n      [-1, -1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inDepth, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inDepth, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterDepth, filterHeight, filterWidth, , filterChannels] =\n      filterShape;\n  const [strideDepth, strideHeight, strideWidth] = parse3TupleParam(strides);\n  const [dilationDepth, dilationHeight, dilationWidth] =\n      parse3TupleParam(dilations);\n\n  const effectiveFilterDepth =\n      getEffectiveFilterSize(filterDepth, dilationDepth);\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outDepth, outHeight, outWidth} = get3DPadAndOutInfo(\n      pad, inDepth, inHeight, inWidth, strideDepth, strideHeight, strideWidth,\n      effectiveFilterDepth, effectiveFilterHeight, effectiveFilterWidth,\n      roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outDepth, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outDepth, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inDepth,\n    inHeight,\n    inWidth,\n    inChannels,\n    outDepth,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideDepth,\n    strideHeight,\n    strideWidth,\n    filterDepth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterDepth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationDepth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\nfunction computeOutputShape2D(\n    inShape: [number, number], fieldSize: number, stride: number,\n    zeroPad?: number, roundingMode?: 'floor'|'round'|'ceil'): [number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputRows = inShape[0];\n  const inputCols = inShape[1];\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputRows, outputCols];\n}\n\nfunction computeOutputShape4D(\n    inShape: [number, number, number, number], fieldSize: number,\n    outChannels: number, stride: number, zeroPad?: number,\n    roundingMode?: 'floor'|'round'|'ceil'): [number, number, number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputDepth = inShape[0];\n  const inputRows = inShape[1];\n  const inputCols = inShape[2];\n\n  const outputDepths = conditionalRound(\n      (inputDepth - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputDepths),\n      () => `The output # of depths (${outputDepths}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputDepths, outputRows, outputCols, outChannels];\n}\n\nexport function computeDefaultPad(\n    inputShape: [number, number]|[number, number, number, number],\n    fieldSize: number, stride: number, dilation = 1): number {\n  const effectiveFieldSize = getEffectiveFilterSize(fieldSize, dilation);\n  return Math.floor(\n      (inputShape[0] * (stride - 1) - stride + effectiveFieldSize) / 2);\n}\n\nfunction parseTupleParam(param: number|number[]): [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param as [number, number, number];\n}\n\nfunction parse3TupleParam(param: number|[number, number, number]):\n    [number, number, number] {\n  return typeof param === 'number' ? [param, param, param] : param;\n}\n\n/* See https://www.tensorflow.org/api_docs/python/tf/nn/atrous_conv2d\n * Atrous convolution is equivalent to standard convolution with upsampled\n * filters with effective_filter_height =\n * filter_height + (filter_height - 1) * (dilation - 1)\n * and effective_filter_width =\n * filter_width + (filter_width - 1) * (dilation - 1),\n * produced by inserting dilation - 1 zeros along consecutive elements across\n * the filters' spatial dimensions.\n * When there is a dilation, this converts a filter dimension to the\n * effective filter dimension, so it can be used in a standard convolution.\n */\nfunction getEffectiveFilterSize(filterSize: number, dilation: number) {\n  if (dilation <= 1) {\n    return filterSize;\n  }\n\n  return filterSize + (filterSize - 1) * (dilation - 1);\n}\n\nfunction getPadAndOutInfo(\n    pad: 'same'|'valid'|number, inHeight: number, inWidth: number,\n    strideHeight: number, strideWidth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'):\n    {padInfo: PadInfo, outHeight: number, outWidth: number} {\n  let padInfo: PadInfo;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {top: pad, bottom: pad, left: pad, right: pad, type: padType};\n    const outShape = computeOutputShape2D(\n        [inHeight, inWidth], filterHeight, strideHeight, pad, roundingMode);\n    outHeight = outShape[0];\n    outWidth = outShape[1];\n  } else if (pad === 'same') {\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongHeight =\n        Math.max(0, (outHeight - 1) * strideHeight + filterHeight - inHeight);\n    const padAlongWidth =\n        Math.max(0, (outWidth - 1) * strideWidth + filterWidth - inWidth);\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n    padInfo = {top, bottom, left, right, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {top: 0, bottom: 0, left: 0, right: 0, type: 'VALID'};\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outHeight, outWidth};\n}\n\nfunction get3DPadAndOutInfo(\n    pad: 'same'|'valid'|number, inDepth: number, inHeight: number,\n    inWidth: number, strideDepth: number, strideHeight: number,\n    strideWidth: number, filterDepth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'): {\n  padInfo: PadInfo3D,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number\n} {\n  let padInfo: PadInfo3D;\n  let outDepth: number;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {\n      top: pad,\n      bottom: pad,\n      left: pad,\n      right: pad,\n      front: pad,\n      back: pad,\n      type: padType\n    };\n    const outShape = computeOutputShape4D(\n        [inDepth, inHeight, inWidth, 1], filterDepth, 1, strideDepth, pad,\n        roundingMode);\n    outDepth = outShape[0];\n    outHeight = outShape[1];\n    outWidth = outShape[2];\n  } else if (pad === 'same') {\n    outDepth = Math.ceil(inDepth / strideDepth);\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongDepth = (outDepth - 1) * strideDepth + filterDepth - inDepth;\n    const padAlongHeight =\n        (outHeight - 1) * strideHeight + filterHeight - inHeight;\n    const padAlongWidth = (outWidth - 1) * strideWidth + filterWidth - inWidth;\n    const front = Math.floor(padAlongDepth / 2);\n    const back = padAlongDepth - front;\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n\n    padInfo = {top, bottom, left, right, front, back, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {\n      top: 0,\n      bottom: 0,\n      left: 0,\n      right: 0,\n      front: 0,\n      back: 0,\n      type: 'VALID'\n    };\n    outDepth = Math.ceil((inDepth - filterDepth + 1) / strideDepth);\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outDepth, outHeight, outWidth};\n}\n\n/**\n * Rounds a value depending on the rounding mode\n * @param value\n * @param roundingMode\n */\nfunction conditionalRound(\n    value: number, roundingMode?: 'floor'|'round'|'ceil') {\n  if (!roundingMode) {\n    return value;\n  }\n  switch (roundingMode) {\n    case 'round':\n      // used for Caffe Conv\n      return Math.round(value);\n    case 'ceil':\n      // used for Caffe Pool\n      return Math.ceil(value);\n    case 'floor':\n      return Math.floor(value);\n    default:\n      throw new Error(`Unknown roundingMode ${roundingMode}`);\n  }\n}\n\nexport function tupleValuesAreOne(param: number|number[]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nexport function eitherStridesOrDilationsAreOne(\n    strides: number|number[], dilations: number|number[]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\n/**\n * Convert Conv2D dataFormat from 'NHWC'|'NCHW' to\n *    'channelsLast'|'channelsFirst'\n * @param dataFormat in 'NHWC'|'NCHW' mode\n * @return dataFormat in 'channelsLast'|'channelsFirst' mode\n * @throws unknown dataFormat\n */\nexport function convertConv2DDataFormat(dataFormat: 'NHWC'|'NCHW'):\n    'channelsLast'|'channelsFirst' {\n  if (dataFormat === 'NHWC') {\n    return 'channelsLast';\n  } else if (dataFormat === 'NCHW') {\n    return 'channelsFirst';\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {scalar, tensor1d, zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {Rank} from '../types';\nimport {DataType, ShapeMap} from '../types';\nimport {hasEncodingLoss, makeZerosTypedArray} from '../util';\n\nimport {KernelBackend} from './backend';\n\n// Utilities needed by backend consumers of tf-core.\nexport * from '../ops/axis_util';\nexport * from '../ops/broadcast_util';\nexport * from '../ops/concat_util';\nexport * from '../ops/conv_util';\nexport {Activation, FusedConv2DConfig} from '../ops/fused_util';\nexport * from '../ops/reduce_util';\nexport {BackendValues, TypedArray, upcastType, PixelData} from '../types';\nexport {MemoryInfo, TimingInfo} from '../engine';\n\nexport function castTensor<T extends Tensor>(\n    x: T, dtype: DataType, backend: KernelBackend): T {\n  if (dtype === 'complex64') {\n    if (x.dtype === 'complex64') {\n      return x.clone();\n    }\n    const zerosTensor = zeros(x.shape);\n    const floatX = x.toFloat();\n    const result = backend.complex(floatX, zerosTensor);\n    zerosTensor.dispose();\n    floatX.dispose();\n    return result as T;\n  }\n\n  if (!hasEncodingLoss(x.dtype, dtype)) {\n    // We don't change the underlying data, since we cast to higher\n    // precision.\n    return ENGINE.makeTensorFromDataId(x.dataId, x.shape, dtype) as T;\n  }\n  if (x.dtype === 'complex64') {\n    const real = backend.real(x);\n    const result = real.cast(dtype);\n    real.dispose();\n    return result;\n  }\n  if (dtype === 'int32') {\n    return backend.int(x);\n  } else if (dtype === 'bool') {\n    const zero = scalar(0, x.dtype);\n    const result = backend.notEqual(x, zero) as T;\n    zero.dispose();\n    return result;\n  } else {\n    throw new Error(`Error in Cast: failed to cast ${x.dtype} to ${dtype}`);\n  }\n}\n\nexport function reshapeTensor<T extends Tensor, R extends Rank>(\n    x: T, shape: ShapeMap[R]): Tensor<R> {\n  return ENGINE.makeTensorFromDataId(x.dataId, shape, x.dtype) as Tensor<R>;\n}\n\nexport function linspaceImpl(start: number, stop: number, num: number) {\n  const step = (stop - start) / (num - 1);\n\n  const values = makeZerosTypedArray(num, 'float32');\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, 'float32');\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../types';\n/**\n * Merges real and imaginary Float32Arrays into a single complex Float32Array.\n *\n * The memory layout is interleaved as follows:\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n * complex: [r0, i0, r1, i1, r2, i2]\n *\n * This is the inverse of splitRealAndImagArrays.\n *\n * @param real The real values of the complex tensor values.\n * @param imag The imag values of the complex tensor values.\n * @returns A complex tensor as a Float32Array with merged values.\n */\nexport function mergeRealAndImagArrays(\n    real: Float32Array, imag: Float32Array): Float32Array {\n  if (real.length !== imag.length) {\n    throw new Error(\n        `Cannot merge real and imag arrays of different lengths. real:` +\n        `${real.length}, imag: ${imag.length}.`);\n  }\n  const result = new Float32Array(real.length * 2);\n  for (let i = 0; i < result.length; i += 2) {\n    result[i] = real[i / 2];\n    result[i + 1] = imag[i / 2];\n  }\n  return result;\n}\n\n/**\n * Splits a complex Float32Array into real and imag parts.\n *\n * The memory layout is interleaved as follows:\n * complex: [r0, i0, r1, i1, r2, i2]\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n *\n * This is the inverse of mergeRealAndImagArrays.\n *\n * @param complex The complex tensor values.\n * @returns An object with real and imag Float32Array components of the complex\n *     tensor.\n */\nexport function splitRealAndImagArrays(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(complex.length / 2);\n  const imag = new Float32Array(complex.length / 2);\n  for (let i = 0; i < complex.length; i += 2) {\n    real[i / 2] = complex[i];\n    imag[i / 2] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts even indexed complex values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithEvenIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.ceil(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 0; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts odd indexed comple values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithOddIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.floor(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 2; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Get the map representing a complex value in the given array.\n * @param complex The complex tensor values.\n * @param index An index of the target complex value.\n */\nexport function getComplexWithIndex(\n    complex: Float32Array, index: number): {real: number, imag: number} {\n  const real = complex[index * 2];\n  const imag = complex[index * 2 + 1];\n  return {real, imag};\n}\n\n/**\n * Insert a given complex value into the TypedArray.\n * @param data The array in which the complex value is inserted.\n * @param c The complex value to be inserted.\n * @param index An index of the target complex value.\n */\nexport function assignToTypedArray(\n    data: TypedArray, real: number, imag: number, index: number) {\n  data[index * 2] = real;\n  data[index * 2 + 1] = imag;\n}\n\n/**\n * Make the list of exponent terms used by FFT.\n */\nexport function exponents(\n    n: number, inverse: boolean): {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(n / 2);\n  const imag = new Float32Array(n / 2);\n  for (let i = 0; i < Math.ceil(n / 2); i++) {\n    const x = (inverse ? 2 : -2) * Math.PI * (i / n);\n    real[i] = Math.cos(x);\n    imag[i] = Math.sin(x);\n  }\n  return {real, imag};\n}\n\n/**\n * Make the exponent term used by FFT.\n */\nexport function exponent(\n    k: number, n: number, inverse: boolean): {real: number, imag: number} {\n  const x = (inverse ? 2 : -2) * Math.PI * (k / n);\n  const real = Math.cos(x);\n  const imag = Math.sin(x);\n  return {real, imag};\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inserts a value into a sorted array. This method allows duplicate, meaning it\n * allows inserting duplicate value, in which case, the element will be inserted\n * at the lowest index of the value.\n * @param arr The array to modify.\n * @param element The element to insert.\n * @param comparator Optional. If no comparator is specified, elements are\n * compared using array_util.defaultComparator, which is suitable for Strings\n * and Numbers in ascending arrays. If the array contains multiple instances of\n * the target value, the left-most instance will be returned. To provide a\n * comparator, it should take 2 arguments to compare and return a negative,\n * zero, or a positive number.\n */\nexport function binaryInsert<T>(\n    arr: T[], element: T, comparator?: (a: T, b: T) => number) {\n  const index = binarySearch(arr, element, comparator);\n  const insertionPoint = index < 0 ? -(index + 1) : index;\n  arr.splice(insertionPoint, 0, element);\n}\n\n/**\n * Searches the array for the target using binary search, returns the index\n * of the found element, or position to insert if element not found. If no\n * comparator is specified, elements are compared using array_\n * util.defaultComparator, which is suitable for Strings and Numbers in\n * ascending arrays. If the array contains multiple instances of the target\n * value, the left-most instance will be returned.\n * @param arr The array to be searched in.\n * @param target The target to be searched for.\n * @param comparator Should take 2 arguments to compare and return a negative,\n *    zero, or a positive number.\n * @return Lowest index of the target value if found, otherwise the insertion\n *    point where the target should be inserted, in the form of\n *    (-insertionPoint - 1).\n */\nexport function binarySearch<T>(\n    arr: T[], target: T, comparator?: (a: T, b: T) => number) {\n  return binarySearch_(arr, target, comparator || defaultComparator);\n}\n\n/**\n * Compares its two arguments for order.\n * @param a The first element to be compared.\n * @param b The second element to be compared.\n * @return A negative number, zero, or a positive number as the first\n *     argument is less than, equal to, or greater than the second.\n */\nfunction defaultComparator<T>(a: T, b: T): number {\n  return a > b ? 1 : a < b ? -1 : 0;\n}\n\nfunction binarySearch_<T>(\n    arr: T[], target: T, comparator: (a: T, b: T) => number) {\n  let left = 0;\n  let right = arr.length;\n  let middle = 0;\n  let found = false;\n  while (left < right) {\n    middle = left + ((right - left) >>> 1);\n    const compareResult = comparator(target, arr[middle]);\n    if (compareResult > 0) {\n      left = middle + 1;\n    } else {\n      right = middle;\n      // If compareResult is 0, the value is found. We record it is found,\n      // and then keep looking because there may be duplicate.\n      found = !compareResult;\n    }\n  }\n\n  return found ? left : -left - 1;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Implementation of the NonMaxSuppression kernel shared between webgl and cpu.\n */\n\nimport {scalar, tensor1d} from '../ops/tensor_ops';\nimport {Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\n\nimport {binaryInsert} from './array_util';\n\ninterface Candidate {\n  score: number;\n  boxIndex: number;\n  suppressBeginIndex: number;\n}\n\nexport function nonMaxSuppressionV3(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number): Tensor1D {\n  const dummySoftNmsSigma = 0.0;\n\n  return nonMaxSuppressionImpl_(\n             boxes, scores, maxOutputSize, iouThreshold, scoreThreshold,\n             dummySoftNmsSigma)\n             .selectedIndices as Tensor1D;\n}\n\nexport function nonMaxSuppressionV5(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number,\n    softNmsSigma: number): NamedTensorMap {\n  // For NonMaxSuppressionV5Op, we always return a second output holding\n  // corresponding scores.\n  const returnScoresTensor = true;\n\n  const result = nonMaxSuppressionImpl_(\n      boxes, scores, maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma,\n      returnScoresTensor);\n\n  result.numValidOutputs.dispose();\n\n  return {\n    selectedIndices: result.selectedIndices,\n    selectedScores: result.selectedScores\n  };\n}\n\nfunction nonMaxSuppressionImpl_(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma: number,\n    returnScoresTensor = false, padToMaxOutputSize = false): NamedTensorMap {\n  // The list is sorted in ascending order, so that we can always pop the\n  // candidate with the largest score in O(1) time.\n  const candidates =\n      Array.from(scores)\n          .map((score, boxIndex) => ({score, boxIndex, suppressBeginIndex: 0}))\n          .filter(c => c.score > scoreThreshold)\n          .sort(ascendingComparator);\n\n  // If softNmsSigma is 0, the outcome of this algorithm is exactly same as\n  // before.\n  const scale = softNmsSigma > 0 ? (-0.5 / softNmsSigma) : 0.0;\n\n  const selectedIndices: number[] = [];\n  const selectedScores: number[] = [];\n\n  while (selectedIndices.length < maxOutputSize && candidates.length > 0) {\n    const candidate = candidates.pop();\n    const {score: originalScore, boxIndex, suppressBeginIndex} = candidate;\n\n    if (originalScore < scoreThreshold) {\n      break;\n    }\n\n    // Overlapping boxes are likely to have similar scores, therefore we\n    // iterate through the previously selected boxes backwards in order to\n    // see if candidate's score should be suppressed. We use\n    // suppressBeginIndex to track and ensure a candidate can be suppressed\n    // by a selected box no more than once. Also, if the overlap exceeds\n    // iouThreshold, we simply ignore the candidate.\n    let ignoreCandidate = false;\n    for (let j = selectedIndices.length - 1; j >= suppressBeginIndex; --j) {\n      const iou = intersectionOverUnion(boxes, boxIndex, selectedIndices[j]);\n\n      if (iou >= iouThreshold) {\n        ignoreCandidate = true;\n        break;\n      }\n\n      candidate.score =\n          candidate.score * suppressWeight(iouThreshold, scale, iou);\n\n      if (candidate.score <= scoreThreshold) {\n        break;\n      }\n    }\n\n    // At this point, if `candidate.score` has not dropped below\n    // `scoreThreshold`, then we know that we went through all of the\n    // previous selections and can safely update `suppressBeginIndex` to the\n    // end of the selected array. Then we can re-insert the candidate with\n    // the updated score and suppressBeginIndex back in the candidate list.\n    // If on the other hand, `candidate.score` has dropped below the score\n    // threshold, we will not add it back to the candidates list.\n    candidate.suppressBeginIndex = selectedIndices.length;\n\n    if (!ignoreCandidate) {\n      // Candidate has passed all the tests, and is not suppressed, so\n      // select the candidate.\n      if (candidate.score === originalScore) {\n        selectedIndices.push(boxIndex);\n        selectedScores.push(candidate.score);\n      } else if (candidate.score > scoreThreshold) {\n        // Candidate's score is suppressed but is still high enough to be\n        // considered, so add back to the candidates list.\n        binaryInsert(candidates, candidate, ascendingComparator);\n      }\n    }\n  }\n\n  // NonMaxSuppressionV4 feature: padding output to maxOutputSize.\n  const numValidOutputs = selectedIndices.length;\n  if (padToMaxOutputSize) {\n    selectedIndices.fill(0, numValidOutputs);\n    selectedScores.fill(0.0, numValidOutputs);\n  }\n\n  return {\n    selectedIndices: tensor1d(selectedIndices, 'int32'),\n    selectedScores: tensor1d(selectedScores, 'float32'),\n    numValidOutputs: scalar(numValidOutputs, 'int32')\n  };\n}\n\nfunction intersectionOverUnion(boxes: TypedArray, i: number, j: number) {\n  const iCoord = boxes.subarray(i * 4, i * 4 + 4);\n  const jCoord = boxes.subarray(j * 4, j * 4 + 4);\n  const yminI = Math.min(iCoord[0], iCoord[2]);\n  const xminI = Math.min(iCoord[1], iCoord[3]);\n  const ymaxI = Math.max(iCoord[0], iCoord[2]);\n  const xmaxI = Math.max(iCoord[1], iCoord[3]);\n  const yminJ = Math.min(jCoord[0], jCoord[2]);\n  const xminJ = Math.min(jCoord[1], jCoord[3]);\n  const ymaxJ = Math.max(jCoord[0], jCoord[2]);\n  const xmaxJ = Math.max(jCoord[1], jCoord[3]);\n  const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n  const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n  if (areaI <= 0 || areaJ <= 0) {\n    return 0.0;\n  }\n  const intersectionYmin = Math.max(yminI, yminJ);\n  const intersectionXmin = Math.max(xminI, xminJ);\n  const intersectionYmax = Math.min(ymaxI, ymaxJ);\n  const intersectionXmax = Math.min(xmaxI, xmaxJ);\n  const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) *\n      Math.max(intersectionXmax - intersectionXmin, 0.0);\n  return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\n// A Gaussian penalty function, this method always returns values in [0, 1].\n// The weight is a function of similarity, the more overlap two boxes are, the\n// smaller the weight is, meaning highly overlapping boxe will be significantly\n// penalized. On the other hand, a non-overlapping box will not be penalized.\nfunction suppressWeight(iouThreshold: number, scale: number, iou: number) {\n  const weight = Math.exp(scale * iou * iou);\n  return iou <= iouThreshold ? weight : 0.0;\n}\n\nfunction ascendingComparator(c1: Candidate, c2: Candidate) {\n  // For objects with same scores, we make the object with the larger index go\n  // first. In an array that pops from the end, this means that the object with\n  // the smaller index will be popped first. This ensures the same output as\n  // the TensorFlow python version.\n  return (c1.score - c2.score) ||\n      ((c1.score === c2.score) && (c2.boxIndex - c1.boxIndex));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\n\n/** Shared implementation of the split kernel across WebGL and CPU. */\nexport function split<T extends Tensor>(\n    x: T, sizeSplits: number[], axis: number): T[] {\n  const begin = new Array(x.rank).fill(0);\n  const size = x.shape.slice();\n  return sizeSplits.map(s => {\n    size[axis] = s;\n    const slice = x.slice(begin, size);\n    begin[axis] += s;\n    return slice;\n  });\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * An implementation of the tile kernel shared between webgl and cpu for string\n * tensors only.\n */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor, TensorBuffer} from '../tensor';\nimport {DataType, Rank} from '../types';\n\nexport function tile<R extends Rank>(\n    xBuf: TensorBuffer<R, DataType>, reps: number[]): Tensor<R> {\n  const newShape: number[] = new Array(xBuf.rank);\n  for (let i = 0; i < newShape.length; i++) {\n    newShape[i] = xBuf.shape[i] * reps[i];\n  }\n  const result = buffer(newShape, xBuf.dtype);\n  for (let i = 0; i < result.values.length; ++i) {\n    const newLoc = result.indexToLoc(i);\n\n    const originalLoc: number[] = new Array(xBuf.rank);\n    for (let j = 0; j < originalLoc.length; j++) {\n      originalLoc[j] = newLoc[j] % xBuf.shape[j];\n    }\n\n    const originalIndex = xBuf.locToIndex(originalLoc);\n\n    result.values[i] = xBuf.values[originalIndex];\n  }\n  return result.toTensor() as Tensor<R>;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the TopK kernel shared between webgl and cpu. */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {NumericDataType, TypedArray} from '../types';\nimport {getTypedArrayFromDType} from '../util';\n\nexport function topkImpl<T extends Tensor>(\n    x: TypedArray, xShape: number[], xDtype: NumericDataType, k: number,\n    sorted: boolean): [T, T] {\n  // Reshape into a 2d tensor [batch, lastDim] and compute topk along lastDim.\n  const lastDim = xShape[xShape.length - 1];\n  const [batch, size] = [x.length / lastDim, lastDim];\n  const allTopKVals = getTypedArrayFromDType(xDtype, batch * k);\n  const allTopKIndices = getTypedArrayFromDType('int32', batch * k);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = x.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    const outOffset = b * k;\n    const topKVals = allTopKVals.subarray(outOffset, outOffset + k);\n    const topKIndices = allTopKIndices.subarray(outOffset, outOffset + k);\n    for (let i = 0; i < k; i++) {\n      topKVals[i] = valAndInd[i].value;\n      topKIndices[i] = valAndInd[i].index;\n    }\n  }\n  // Reshape back to the original input shape, except that the last\n  // dimension is k.\n  const outputShape = xShape.slice();\n  outputShape[outputShape.length - 1] = k;\n  return [\n    tensor(allTopKVals, outputShape, xDtype) as T,\n    tensor(allTopKIndices, outputShape, 'int32') as T\n  ];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the Where kernel shared between cpu and webgl */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor2D} from '../tensor';\nimport {TypedArray} from '../types';\n\nexport function whereImpl(condShape: number[], condVals: TypedArray): Tensor2D {\n  const indices = [];\n  for (let i = 0; i < condVals.length; i++) {\n    if (condVals[i]) {\n      indices.push(i);\n    }\n  }\n\n  const inBuffer = buffer(condShape, 'int32');\n\n  const out = buffer([indices.length, condShape.length], 'int32');\n  for (let i = 0; i < indices.length; i++) {\n    const loc = inBuffer.indexToLoc(indices[i]);\n    const offset = i * condShape.length;\n    out.values.set(loc, offset);\n  }\n  return out.toTensor() as Tensor2D;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`float v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        float result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`vec4 v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        vec4 result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ArgMinMaxProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(reduceInfo: ReduceInfo, op: 'max'|'min', firstPass: boolean) {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    this.outputShape = [batchSize, outSize];\n    const compOp = (op === 'max') ? '>' : '<';\n    const indexSnippet = firstPass ?\n        'inOffset + i;' :\n        'round(getBestIndicesA(batch, inOffset + i));';\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          int inIdx = ${indexSnippet};\n          float candidate = getA(batch, inIdx);\n          if (candidate ${compOp} bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function getVecChannels(name: string, rank: number): string[] {\n  return ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank).map(d => `${name}.${d}`);\n}\n\nexport function getChannels(name: string, rank: number): string[] {\n  if (rank === 1) {\n    return [name];\n  }\n  return getVecChannels(name, rank);\n}\n\nexport function getSourceCoords(rank: number, dims: string[]): string {\n  if (rank === 1) {\n    return 'rc';\n  }\n\n  let coords = '';\n  for (let i = 0; i < rank; i++) {\n    coords += dims[i];\n    if (i < rank - 1) {\n      coords += ',';\n    }\n  }\n  return coords;\n}","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../../environment';\n\nexport type GLSL = {\n  version: string,\n  attribute: string,\n  varyingVs: string,\n  varyingFs: string,\n  texture2D: string,\n  output: string,\n  defineOutput: string,\n  defineSpecialNaN: string,\n  defineSpecialInf: string,\n  defineRound: string\n};\n\nexport function getGlslDifferences(): GLSL {\n  let version: string;\n  let attribute: string;\n  let varyingVs: string;\n  let varyingFs: string;\n  let texture2D: string;\n  let output: string;\n  let defineOutput: string;\n  let defineSpecialNaN: string;\n  let defineSpecialInf: string;\n  let defineRound: string;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    version = '#version 300 es';\n    attribute = 'in';\n    varyingVs = 'out';\n    varyingFs = 'in';\n    texture2D = 'texture';\n    output = 'outputColor';\n    defineOutput = 'out vec4 outputColor;';\n\n    // Use custom isnan definition to work across differences between\n    // implementations on various platforms. While this should happen in ANGLE\n    // we still see differences between android and windows (on chrome) when\n    // using isnan directly.\n    defineSpecialNaN = `\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    `;\n    // In webgl 2 we do not need to specify a custom isinf so there is no\n    // need for a special INFINITY constant.\n    defineSpecialInf = ``;\n    defineRound = `\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  } else {\n    version = '';\n    attribute = 'attribute';\n    varyingVs = 'varying';\n    varyingFs = 'varying';\n    texture2D = 'texture2D';\n    output = 'gl_FragColor';\n    defineOutput = '';\n    // WebGL1 has no built in isnan so we define one here.\n    defineSpecialNaN = `\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    `;\n    defineSpecialInf = `\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    `;\n    defineRound = `\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  }\n\n  return {\n    version,\n    attribute,\n    varyingVs,\n    varyingFs,\n    texture2D,\n    output,\n    defineOutput,\n    defineSpecialNaN,\n    defineSpecialInf,\n    defineRound\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../../util';\n\n/**\n * Produces GLSL code that derives logical coordinates from a flat\n * index. The code performs integer division with each stride and decrements\n * the index until the index equals the final dimension coordinate.\n */\nexport function getLogicalCoordinatesFromFlatIndex(\n    coords: string[], shape: number[], index = 'index'): string {\n  const strides = util.computeStrides(shape);\n  return strides\n      .map((stride, i) => {\n        const line1 = `int ${coords[i]} = ${index} / ${stride}`;\n        const line2 = i === strides.length - 1 ?\n            `int ${coords[i + 1]} = ${index} - ${coords[i]} * ${stride}` :\n            `index -= ${coords[i]} * ${stride}`;\n        return `${line1}; ${line2};`;\n      })\n      .join('');\n}\n\nfunction buildVec(x: string[]): string {\n  if (x.length === 1) {\n    return `${x[0]}`;\n  }\n  return `vec${x.length}(${x.join(',')})`;\n}\n\n/**\n * Produces GLSL code that computes the dot product of the input x and y\n * vectors. Handles splitting inputs into increments of vec4s when necessary.\n */\nexport function dotify(x: string[], y: string[]): string {\n  if (x.length !== y.length) {\n    throw new Error(\n        `Vectors to be dotted must be of the same length -` +\n        `got ${x.length} and ${y.length}`);\n  }\n\n  const slices: string[] = [];\n  const nearestVec4 = Math.floor(x.length / 4);\n  const nearestVec4Remainder = x.length % 4;\n\n  for (let i = 0; i < nearestVec4; i++) {\n    const xSlice = x.slice(i * 4, i * 4 + 4);\n    const ySlice = y.slice(i * 4, i * 4 + 4);\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  if (nearestVec4Remainder !== 0) {\n    let xSlice = x.slice(nearestVec4 * 4);\n    let ySlice = y.slice(nearestVec4 * 4);\n    if (xSlice.length === 1) {\n      xSlice = xSlice.map(d => `float(${d})`);\n      ySlice = ySlice.map(d => `float(${d})`);\n    }\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  return slices.map((d, i) => `dot(${d})`).join('+');\n}\n\n/**\n * Produces GLSL that computes the flat index from 3D coordinates.\n */\nexport function getFlatIndexFrom3D(shape: [number, number, number]): string {\n  const strides = util.computeStrides(shape).map(d => d.toString());\n\n  return `\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * ${strides[0]} + coords.y * ${strides[1]} + coords.z;\n  }\n`;\n}\n\nexport const ENCODE_FLOAT_SNIPPET = `\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n`;","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getBroadcastDims} from '../../ops/broadcast_util';\nimport * as util from '../../util';\nimport {getGlslDifferences, GLSL} from './glsl_version';\nimport * as shader_util from './shader_compiler_util';\n\nexport type ShapeInfo = {\n  logicalShape: number[],\n  texShape: [number, number],\n  isUniform: boolean,\n  isPacked: boolean,\n  flatOffset: number\n};\n\nexport type InputInfo = {\n  name: string,\n  shapeInfo: ShapeInfo\n};\n\nexport function makeShader(\n    inputsInfo: InputInfo[], outputShape: ShapeInfo, userCode: string,\n    usesPackedTextures: boolean): string {\n  const prefixSnippets: string[] = [];\n  inputsInfo.forEach(x => {\n    const size = util.sizeFromShape(x.shapeInfo.logicalShape);\n\n    // Snippet when we decided to upload the values as uniform.\n    if (x.shapeInfo.isUniform) {\n      prefixSnippets.push(\n          `uniform float ${x.name}${size > 1 ? `[${size}]` : ''};`);\n    } else {\n      prefixSnippets.push(`uniform sampler2D ${x.name};`);\n      prefixSnippets.push(`uniform int offset${x.name};`);\n    }\n  });\n  const inputPrefixSnippet = prefixSnippets.join('\\n');\n\n  const inputSamplingSnippet =\n      inputsInfo\n          .map(x => getInputSamplingSnippet(x, outputShape, usesPackedTextures))\n          .join('\\n');\n  const outTexShape = outputShape.texShape;\n  const glsl = getGlslDifferences();\n  const floatTextureSampleSnippet = getFloatTextureSampleSnippet(glsl);\n  let outputSamplingSnippet: string;\n  let floatTextureSetOutputSnippet: string;\n  let shaderPrefix = getShaderPrefix(glsl);\n\n  if (outputShape.isPacked) {\n    outputSamplingSnippet =\n        getPackedOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRGBASnippet(glsl);\n  } else {\n    outputSamplingSnippet =\n        getOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRSnippet(glsl);\n  }\n\n  if (usesPackedTextures) {\n    shaderPrefix += SHADER_PACKED_PREFIX;\n  }\n\n  const source = [\n    shaderPrefix, floatTextureSampleSnippet, floatTextureSetOutputSnippet,\n    inputPrefixSnippet, outputSamplingSnippet, inputSamplingSnippet, userCode\n  ].join('\\n');\n  return source;\n}\n\nfunction getSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getSamplerScalar(inInfo);\n    case 1:\n      return getSampler1D(inInfo);\n    case 2:\n      return getSampler2D(inInfo);\n    case 3:\n      return getSampler3D(inInfo);\n    case 4:\n      return getSampler4D(inInfo);\n    case 5:\n      return getSampler5D(inInfo);\n    case 6:\n      return getSampler6D(inInfo);\n    default:\n      throw new Error(\n          `${shape.length}-D input sampling` +\n          ` is not yet supported`);\n  }\n}\n\nfunction getPackedSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getPackedSamplerScalar(inInfo);\n    case 1:\n      return getPackedSampler1D(inInfo);\n    case 2:\n      return getPackedSampler2D(inInfo);\n    case 3:\n      return getPackedSampler3D(inInfo);\n    default:\n      return getPackedSamplerND(inInfo);\n  }\n}\n\nfunction getInputSamplingSnippet(\n    inInfo: InputInfo, outShapeInfo: ShapeInfo,\n    usesPackedTextures = false): string {\n  let res = '';\n  if (usesPackedTextures) {\n    res += getPackedSamplerFromInInfo(inInfo);\n  } else {\n    res += getSamplerFromInInfo(inInfo);\n  }\n\n  const inShape = inInfo.shapeInfo.logicalShape;\n  const outShape = outShapeInfo.logicalShape;\n  if (inShape.length <= outShape.length) {\n    if (usesPackedTextures) {\n      res += getPackedSamplerAtOutputCoords(inInfo, outShapeInfo);\n    } else {\n      res += getSamplerAtOutputCoords(inInfo, outShapeInfo);\n    }\n  }\n  return res;\n}\n\nfunction getPackedOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutputPacked1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutputPacked2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutputPacked3DCoords(\n          outShape as [number, number, number], outTexShape);\n    default:\n      return getOutputPackedNDCoords(outShape, outTexShape);\n  }\n}\n\nfunction getOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutput1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutput2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutput3DCoords(\n          outShape as [number, number, number], outTexShape);\n    case 4:\n      return getOutput4DCoords(\n          outShape as [number, number, number, number], outTexShape);\n    case 5:\n      return getOutput5DCoords(\n          outShape as [number, number, number, number, number], outTexShape);\n    case 6:\n      return getOutput6DCoords(\n          outShape as [number, number, number, number, number, number],\n          outTexShape);\n    default:\n      throw new Error(\n          `${outShape.length}-D output sampling is not yet supported`);\n  }\n}\n\nfunction getFloatTextureSampleSnippet(glsl: GLSL): string {\n  return `\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return ${glsl.texture2D}(textureSampler, uv).r;\n    }\n  `;\n}\n\nfunction getFloatTextureSetRSnippet(glsl: GLSL): string {\n  return `\n    void setOutput(float val) {\n      ${glsl.output} = vec4(val, 0, 0, 0);\n    }\n  `;\n}\n\nfunction getFloatTextureSetRGBASnippet(glsl: GLSL): string {\n  return `\n    void setOutput(vec4 val) {\n      ${glsl.output} = val;\n    }\n  `;\n}\n\nfunction getShaderPrefix(glsl: GLSL): string {\n  const SHADER_PREFIX = `${glsl.version}\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    ${glsl.varyingFs} vec2 resultUV;\n    ${glsl.defineOutput}\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    ${glsl.defineSpecialNaN}\n    ${glsl.defineSpecialInf}\n    ${glsl.defineRound}\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    ${SAMPLE_1D_SNIPPET}\n    ${SAMPLE_2D_SNIPPET}\n    ${SAMPLE_3D_SNIPPET}\n  `;\n\n  return SHADER_PREFIX;\n}\n\nconst SAMPLE_1D_SNIPPET = `\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_2D_SNIPPET = `\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_3D_SNIPPET = `\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SHADER_PACKED_PREFIX = `\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n`;\n\nfunction getOutputScalarCoords() {\n  return `\n    int getOutputCoords() {\n      return 0;\n    }\n  `;\n}\n\nfunction getOutputPacked1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (packedTexShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * ${packedTexShape[1]}.0);\n      }\n    `;\n  }\n\n  if (packedTexShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ${packedTexShape[0]}.0);\n      }\n    `;\n  }\n\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      return 2 * (resTexRC.x * ${packedTexShape[1]} + resTexRC.y);\n    }\n  `;\n}\n\nfunction getOutput1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  if (texShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.x * ${texShape[1]}.0);\n      }\n    `;\n  }\n  if (texShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.y * ${texShape[0]}.0);\n      }\n    `;\n  }\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      return resTexRC.x * ${texShape[1]} + resTexRC.y;\n    }\n  `;\n}\n\nfunction getOutputPacked3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texelsInLogicalRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = texelsInLogicalRow * Math.ceil(shape[1] / 2);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec3(b, r, c);\n    }\n  `;\n}\n\nfunction getOutput3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n\nfunction getOutputPackedNDCoords(\n    shape: number[], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  const texelsInLogicalRow = Math.ceil(shape[shape.length - 1] / 2);\n  const texelsInBatch =\n      texelsInLogicalRow * Math.ceil(shape[shape.length - 2] / 2);\n  let texelsInBatchN = texelsInBatch;\n  let batches = ``;\n  let coords = 'b, r, c';\n\n  for (let b = 2; b < shape.length - 1; b++) {\n    texelsInBatchN *= shape[shape.length - b - 1];\n    batches = `\n      int b${b} = index / ${texelsInBatchN};\n      index -= b${b} * ${texelsInBatchN};\n    ` + batches;\n    coords = `b${b}, ` + coords;\n  }\n\n  return `\n    ivec${shape.length} getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      ${batches}\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec${shape.length}(${coords});\n    }\n  `;\n}\n\nfunction getOutput4DCoords(\n    shape: [number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2'], shape);\n\n  return `\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec4(r, c, d, d2);\n    }\n  `;\n}\n\nfunction getOutput5DCoords(\n    shape: [number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3'], shape);\n\n  return `\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(${texShape[0]},\n                             ${texShape[1]}));\n\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  `;\n}\n\nfunction getOutput6DCoords(\n    shape: [number, number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3', 'd4'], shape);\n\n  return `\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  `;\n}\n\nfunction getOutputPacked2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2(${packedTexShape[0]}, ${\n        packedTexShape[1]}));\n      }\n    `;\n  }\n\n  // texels needed to accommodate a logical row\n  const texelsInLogicalRow = Math.ceil(shape[1] / 2);\n\n  /**\n   * getOutputCoords\n   *\n   * resTexRC: The rows and columns of the texels. If you move over one\n   * texel to the right in the packed texture, you are moving over one column\n   * (not two).\n   *\n   * index: The texel index\n   */\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getOutput2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(${texShape[0]}, ${texShape[1]}));\n      }\n    `;\n  }\n  if (shape[1] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    `;\n  }\n  if (shape[0] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(0, index);\n      }\n    `;\n  }\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      int r = index / ${shape[1]};\n      int c = index - r * ${shape[1]};\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getFlatOffsetUniformName(texName: string): string {\n  return `offset${texName}`;\n}\n\nfunction getPackedSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}() {\n      return ${glsl.texture2D}(${texName}, halfCR);\n    }\n  `;\n}\n\nfunction getSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  if (inputInfo.shapeInfo.isUniform) {\n    return `float ${funcName}() {return ${texName};}`;\n  }\n  const [texNumR, texNumC] = inputInfo.shapeInfo.texShape;\n  if (texNumR === 1 && texNumC === 1) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n\n  const [tNumR, tNumC] = inputInfo.shapeInfo.texShape;\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}() {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int index) {\n      vec2 uv = packedUVfrom1D(\n        ${packedTexShape[0]}, ${packedTexShape[1]}, index);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int index) {\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const tNumR = texShape[0];\n  const tNumC = texShape[1];\n\n  if (tNumC === 1 && tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  if (tNumC === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2(0.5, (float(index + ${offset}) + 0.5) / ${tNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2((float(index + ${offset}) + 0.5) / ${tNumC}.0, 0.5);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  return `\n    float ${funcName}(int index) {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const glsl = getGlslDifferences();\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    return `\n      vec4 ${funcName}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n\n        return ${glsl.texture2D}(${texName}, uv);\n      }\n    `;\n  }\n\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const valuesPerRow = Math.ceil(shape[1] / 2);\n\n  return `\n    vec4 ${funcName}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${valuesPerRow}, ${packedTexShape[0]}, ${\n      packedTexShape[1]}, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    const texNumR = texShape[0];\n    const texNumC = texShape[1];\n    return `\n    float ${funcName}(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(${shape[1]}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const offset = getFlatOffsetUniformName(texName);\n  if (texNumC === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n  if (texNumR === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2((index + 0.5) / ${texNumC}.0, 0.5);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  return `\n  float ${funcName}(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ${shape[1]} + col + ${offset};\n    vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n    return sampleTexture(${texName}, uv);\n  }\n`;\n}\n\nfunction getPackedSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  if (shape[0] === 1) {\n    const squeezedShape = shape.slice(1);\n    const keptDims = [1, 2];\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['b', 'row', 'col'];\n    return `\n        ${getPackedSamplerFromInInfo(newInputInfo)}\n        vec4 ${funcName}(int b, int row, int col) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = valuesPerRow * Math.ceil(shape[1] / 2);\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${texNumR}, ${texNumC}, ${texelsInBatch}, ${valuesPerRow}, b, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride0 = shape[1] * shape[2];\n  const stride1 = shape[2];\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col', 'depth'];\n    return `\n        ${getSamplerFromInInfo(newInputInfo)}\n        float ${funcName}(int row, int col, int depth) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(${stride0}, ${stride1}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n        float ${funcName}(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2(${stride1}, 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(${texNumC}.0, ${texNumR}.0);\n          return sampleTexture(${texName}, uv);\n        }\n      `;\n  }\n\n  if (texNumC === stride1 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2(${shape[1]}, 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n      float ${funcName}(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ${stride0} + col * ${stride1} + depth + ${offset};\n        vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n        return sampleTexture(${texName}, uv);\n      }\n  `;\n}\n\nfunction getPackedSamplerND(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const rank = shape.length;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[rank - 1] / 2);\n  let texelsInBatch = valuesPerRow * Math.ceil(shape[rank - 2] / 2);\n  let params = `int b, int row, int col`;\n  let index = `b * ${texelsInBatch} + (row / 2) * ${valuesPerRow} + (col / 2)`;\n  for (let b = 2; b < rank - 1; b++) {\n    params = `int b${b}, ` + params;\n    texelsInBatch *= shape[rank - b - 1];\n    index = `b${b} * ${texelsInBatch} + ` + index;\n  }\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}(${params}) {\n      int index = ${index};\n      int texR = index / ${texNumC};\n      int texC = index - texR * ${texNumC};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}, ${texNumR});\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler4D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride2 = shape[3];\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4(${stride0}, ${stride1}, ${stride2}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(${stride1}, ${stride2}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride2 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(${shape[1] * shape[2]}, ${shape[2]}, 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} +\n          depth * ${stride2} + depth2;\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler5D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride3 = shape[4];\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          depth3;\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4(${stride1}, ${stride2}, ${stride3}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  if (texNumC === stride3 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3]},\n               ${shape[2] * shape[3]}, ${shape[3]}, 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler6D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3', 'depth4'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  const stride4 = shape[5];\n  const stride3 = shape[4] * stride4;\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(${stride4}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4(${stride1}, ${stride2}, ${stride3}, ${stride4})) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride4 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3] * shape[4]},\n               ${shape[2] * shape[3] * shape[4]},\n               ${shape[3] * shape[4]},\n               ${shape[4]})) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 * ${stride4} + depth4 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getUniformSampler(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n\n  if (inSize < 2) {\n    return `return ${texName};`;\n  }\n  return `\n    for (int i = 0; i < ${inSize}; i++) {\n      if (i == index) {\n        return ${texName}[i];\n      }\n    }\n  `;\n}\n\nfunction getPackedSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n\n  const type = getCoordsDataType(outRank);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  let output = `return outputValue;`;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n  const isInputScalar = inSize === 1;\n  const outSize = util.sizeFromShape(outShapeInfo.logicalShape);\n  const isOutputScalar = outSize === 1;\n\n  if (inRank === 1 && !isInputScalar && !isOutputScalar) {\n    output = `\n      return vec4(outputValue.xy, outputValue.xy);\n    `;\n  } else if (isInputScalar && !isOutputScalar) {\n    if (outRank === 1) {\n      output = `\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      `;\n    } else {\n      output = `\n        return vec4(outputValue.x);\n      `;\n    }\n  } else if (broadcastDims.length) {\n    const rows = inRank - 2;\n    const cols = inRank - 1;\n\n    if (broadcastDims.indexOf(rows) > -1 && broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.x);`;\n    } else if (broadcastDims.indexOf(rows) > -1) {\n      output = `return vec4(outputValue.x, outputValue.y, ` +\n          `outputValue.x, outputValue.y);`;\n    } else if (broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.xx, outputValue.zz);`;\n    }\n  }\n\n  return `\n    vec4 ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      vec4 outputValue = get${texFuncSnippet}(${unpackedCoordsSnippet});\n      ${output}\n    }\n  `;\n}\n\nfunction getSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const outTexShape = outShapeInfo.texShape;\n  const inTexShape = inputInfo.shapeInfo.texShape;\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  if (!inputInfo.shapeInfo.isUniform && inRank === outRank &&\n      inputInfo.shapeInfo.flatOffset == null &&\n      util.arraysEqual(inTexShape, outTexShape)) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, resultUV);\n      }\n    `;\n  }\n\n  const type = getCoordsDataType(outRank);\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  return `\n    float ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      return get${texFuncSnippet}(${unpackedCoordsSnippet});\n    }\n  `;\n}\n\nexport function getCoordsDataType(rank: number): string {\n  if (rank <= 1) {\n    return 'int';\n  } else if (rank === 2) {\n    return 'ivec2';\n  } else if (rank === 3) {\n    return 'ivec3';\n  } else if (rank === 4) {\n    return 'ivec4';\n  } else if (rank === 5) {\n    return 'ivec5';\n  } else if (rank === 6) {\n    return 'ivec6';\n  } else {\n    throw Error(`GPU for rank ${rank} is not yet supported`);\n  }\n}\n\n/** Returns a new input info (a copy) that has a squeezed logical shape. */\nfunction squeezeInputInfo(\n    inInfo: InputInfo, squeezedShape: number[]): InputInfo {\n  // Deep copy.\n  const newInputInfo: InputInfo = JSON.parse(JSON.stringify(inInfo));\n  newInputInfo.shapeInfo.logicalShape = squeezedShape;\n  return newInputInfo;\n}\n\nfunction getSqueezedParams(params: string[], keptDims: number[]): string {\n  return keptDims.map(d => params[d]).join(', ');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ArgMinMaxPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      shape: number[], windowSize: number, op: 'max'|'min',\n      firstPass: boolean) {\n    assert(\n        shape.length > 2,\n        () => `Packed arg${\n            op.charAt(0).toUpperCase() +\n            op.slice(1)} supports only inputs with rank above 2.`);\n    const inSize = shape[shape.length - 1];\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = shape.slice(0, -1);\n    if (outSize > 1) {\n      this.outputShape.push(outSize);\n    }\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    const outShape = this.outputShape;\n    const rank = outShape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n\n    let sourceLocSetup;\n    let sourceRank;\n    if (outSize === 1) {\n      sourceRank = rank + 1;\n      const sourceLocDType = getCoordsDataType(sourceRank);\n      sourceLocSetup = `\n        ${sourceLocDType} sourceLocR = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 1]};\n        ${sourceLocDType} sourceLocG = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 2]};\n        ${sourceLocDType} sourceLocA = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 1]};\n        ${sourceLocDType} sourceLocB = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 2]};`;\n    } else {\n      sourceRank = rank;\n      sourceLocSetup = `\n        ${dtype} sourceLocR = coords;\n        ++${coords[rank - 1]};\n        ${dtype} sourceLocG = coords;\n        ++${coords[rank - 2]};\n        ${dtype} sourceLocA = coords;\n        --${coords[rank - 1]};\n        ${dtype} sourceLocB = coords;\n        --${coords[rank - 2]};`;\n    }\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, sourceRank);\n    const inChannel = '.' + channels[sourceRank - 1];  // e.g. \".b\" for rank 3.\n    const intChannels = channels.map(x => 'int ' + x);\n    const srcRCoords =\n        getChannels('sourceLocR', sourceRank - 1).concat('inIdx.r');\n    const srcGCoords =\n        getChannels('sourceLocG', sourceRank - 1).concat('inIdx.g');\n    const srcBCoords =\n        getChannels('sourceLocB', sourceRank - 1).concat('inIdx.b');\n    const srcACoords =\n        getChannels('sourceLocA', sourceRank - 1).concat('inIdx.a');\n\n    const compOp = (op === 'max') ? 'greaterThan' : 'lessThan';\n    const fetchCandidateIdx = firstPass ? '' : `\n          inIdx = round(vec4(getBestIndicesAChannel(${srcRCoords.join()}),\n                             getBestIndicesAChannel(${srcGCoords.join()}),\n                             getBestIndicesAChannel(${srcBCoords.join()}),\n                             getBestIndicesAChannel(${srcACoords.join()})));`;\n\n    const fetchValue = `vec4(\n            getAChannel(${srcRCoords.join()}),\n            hasNextCol ? getAChannel(${srcGCoords.join()}) : 0.,\n            hasNextRow ? getAChannel(${srcBCoords.join()}) : 0.,\n            hasNextRow && hasNextCol ? getAChannel(${srcACoords.join()}) : 0.)`;\n\n    const getBestIndicesAChannelSnippet = firstPass ? '' : `\n      float getBestIndicesAChannel(${intChannels.join()}) {\n        return getChannel(getBestIndicesA(${channels.join()}),\n                                          vec2(${channels.slice(-2).join()}));\n      }`;\n\n    this.userCode = `\n      float getAChannel(${intChannels.join()}) {\n        return getChannel(getA(${channels.join()}),\n                               vec2(${channels.slice(-2).join()}));\n      }\n      ${getBestIndicesAChannelSnippet}\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        bool hasNextCol = ${coords[rank - 1]} < ${outShape[rank - 1] - 1};\n        bool hasNextRow = ${coords[rank - 2]} < ${outShape[rank - 2] - 1};\n        ${sourceLocSetup}\n        ivec4 srcIdx = ivec4(sourceLocR${inChannel}, sourceLocG${inChannel},\n          sourceLocB${inChannel}, sourceLocA${inChannel}) * ${windowSize};\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ${fetchValue};\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          inIdx = srcIdx;\n          ${fetchCandidateIdx}\n          vec4 candidate = ${fetchValue};\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(${compOp}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AvgPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth};\n            wC+= ${dilationWidth}) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class AvgPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = '0.0';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = '1.0';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ${offsetSnippet};\n        float scale = ${scaleSnippet};\n        float inv = scale * inversesqrt(variance + float(${varianceEpsilon}));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = 'vec4(0.0)';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = 'vec4(1.0)';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        vec4 offset = ${offsetSnippet};\n        vec4 scale = ${scaleSnippet};\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(${varianceEpsilon}));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\n// (Ar + Ai)(Br + Bi) =\n// ArBr + ArBi + AiBr + AiBi = ArBr - AB + ArBi + AiBr\n// Yr = ArBr - AB\n// Yi = ArBi + AiBr\nexport const COMPLEX_MULTIPLY = {\n  REAL: 'return areal * breal - aimag * bimag;',\n  IMAG: 'return areal * bimag + aimag * breal;'\n};\n\nexport class BinaryOpComplexProgram implements GPGPUProgram {\n  variableNames = ['AReal', 'AImag', 'BReal', 'BImag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    this.userCode = `\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        ${op}\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nconst CHECK_NAN_SNIPPET = `\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n`;\n\nexport const ADD = 'return a + b;';\nexport const SUB = 'return a - b;';\nexport const MUL = 'return a * b;';\n\n// Without the equality check div produces 0.9999 for a = b, which when\n// floored can cause errors.\nexport const DIV = `\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;`;\n\n// We use native integer division to deal with floating point imprecision. Since\n// we implement floor division and glsl implements truncated division, we\n// correct for this by subtracting 1 from result when the result is negative and\n// there is a remainder.\nexport const INT_DIV = `\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n`;\n\nexport const POW = `\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`;\nexport const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n\nexport const EQUAL = `return float(a == b);`;\n\nexport const NOT_EQUAL = `return float(a != b);`;\n\nexport const LESS = `return float(a < b);`;\n\nexport const LESS_EQUAL = `return float(a <= b);`;\n\nexport const GREATER = `return float(a > b);`;\n\nexport const GREATER_EQUAL = `return float(a >= b);`;\n\nexport const LOGICAL_AND = `return float(a >= 1.0 && b >= 1.0);`;\n\nexport const LOGICAL_OR = `return float(a >= 1.0 || b >= 1.0);`;\n\nexport const MAX = CHECK_NAN_SNIPPET + `\n  return max(a, b);\n`;\nexport const MIN = CHECK_NAN_SNIPPET + `\n  return min(a, b);\n`;\nexport const MOD = `if (b == 0.0) return NAN;\n  return mod(a, b);`;\n\nexport const ATAN2 = CHECK_NAN_SNIPPET + `\n  return atan(a, b);\n`;\n\nexport const ELU_DER = `return (b >= 1.0) ? a : a * (b + 1.0);`;\n\nexport const PRELU = `return (a < 0.) ? b * a : a;`;\n\nexport class BinaryOpProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    this.userCode = `\n      float binaryOperation(float a, float b) {\n        ${op}\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {sizeFromShape} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nconst CHECK_NAN_SNIPPET = `\n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n`;\n\n// We do the same as in ./binaryop_gpu, with vec4 and ivec4.\n// On Linux, the vectorized implementation produces NaNs when a and b are 0.\nexport const DIV = `\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n`;\n\nexport const INT_DIV = `\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n`;\n\nexport const POW = `\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const PRELU = `\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;\n\nexport const ELU_DER = `\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`;\n\nexport const ATAN2 = `\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const EQUAL = `\n  return vec4(equal(a, b));\n`;\n\nexport const NOT_EQUAL = `\n  return vec4(notEqual(a, b));\n`;\n\nexport const LESS = `\n  return vec4(lessThan(a, b));\n`;\n\nexport const LESS_EQUAL = `\n  return vec4(lessThanEqual(a, b));\n`;\n\nexport const GREATER = `\n  return vec4(greaterThan(a, b));\n`;\n\nexport const GREATER_EQUAL = `\n  return vec4(greaterThanEqual(a, b));\n`;\n\nexport const LOGICAL_AND = `\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n`;\n\nexport const LOGICAL_OR = `\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n`;\n\nexport const MAX = `\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MIN = `\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MOD = `\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport class BinaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n  supportsBroadcasting = true;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      op: string, aShape: number[], bShape: number[],\n      checkOutOfBounds = false) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    const rank = this.outputShape.length;\n    let checkOutOfBoundsString = '';\n    if (checkOutOfBounds) {\n      if (rank === 0 || sizeFromShape(this.outputShape) === 1) {\n        checkOutOfBoundsString = `\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        `;\n      } else {\n        const dtype = getCoordsDataType(rank);\n        checkOutOfBoundsString = `\n          ${dtype} coords = getOutputCoords();\n        `;\n        if (rank === 1) {\n          checkOutOfBoundsString += `\n            result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          `;\n        } else {\n          const channels = getChannels('coords', rank);\n          checkOutOfBoundsString += `\n            bool nextRowOutOfBounds =\n              (${channels[rank - 2]} + 1) >= ${this.outputShape[rank - 2]};\n            bool nextColOutOfBounds =\n              (${channels[rank - 1]} + 1) >= ${this.outputShape[rank - 1]};\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          `;\n        }\n      }\n    }\n\n    this.userCode = `\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        ${op}\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ${checkOutOfBoundsString}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ComplexAbsProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(shape: number[]) {\n    this.outputShape = shape;\n    this.userCode = `\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ConcatProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  // Concats 2d tensors along axis=1. See comments in MathBackendWebGL.concat().\n  constructor(shapes: Array<[number, number]>) {\n    this.outputShape = concat_util.computeOutShape(shapes, 1 /* axis */);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][1];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][1];\n    }\n\n    const snippets = [`if (yC < ${offsets[0]}) setOutput(getT0(yR, yC));`];\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      snippets.push(\n          `else if (yC < ${offsets[i]}) ` +\n          `setOutput(getT${i}(yR, yC-${shift}));`);\n    }\n    const lastIndex = offsets.length;\n    const lastShift = offsets[offsets.length - 1];\n    snippets.push(`else setOutput(getT${lastIndex}(yR, yC-${lastShift}));`);\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        ${snippets.join('\\n        ')}\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ConcatPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(shapes: number[][], axis: number) {\n    this.outputShape = concat_util.computeOutShape(shapes, axis);\n    const shape = this.outputShape;\n    const rank = shape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][axis];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][axis];\n    }\n\n    const channel = channels[axis];\n    const lastChannels = channels.slice(-2);\n    const allChannels = channels.join();\n\n    let getValueSnippet = `if (${channel} < ${offsets[0]}) {\n        return getChannel(\n            getT0(${allChannels}), vec2(${lastChannels.join()}));\n        }`;\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      // Note: the >= comparison below may seem unnecessary given the check\n      // above but is needed to workaround branch execution issues on some\n      // devices. It makes all the conditions exclusive without relying on\n      // execution order.\n      getValueSnippet += `\n        if (${channel} < ${offsets[i]}  && ${channel} >= ${offsets[i - 1]}) {\n          return getChannel(\n            getT${i}(${shiftedChannels(channels, channel, shift)}),\n            vec2(${shiftedChannels(lastChannels, channel, shift)}));\n        }`;\n    }\n    const lastIndex = offsets.length;\n    const shift = offsets[offsets.length - 1];\n    getValueSnippet += `\n        return getChannel(\n          getT${lastIndex}(${shiftedChannels(channels, channel, shift)}),\n          vec2(${shiftedChannels(lastChannels, channel, shift)}));`;\n\n    this.userCode = `\n      float getValue(${channels.map(x => 'int ' + x)}) {\n        ${getValueSnippet}\n      }\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        vec4 result = vec4(getValue(${coords}), 0., 0., 0.);\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} + 1;\n        if (${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.g = getValue(${coords});\n        }\n\n        ${coords[rank - 2]} = ${coords[rank - 2]} + 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]}) {\n          result.a = getValue(${coords});\n        }\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} - 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]} &&\n            ${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.b = getValue(${coords});\n        }\n        setOutput(result);\n      }\n    `;\n  }\n}\n\n/**\n * Return an expression for coordinates into a vector where a given channel\n * will be offset by [shift].\n *\n * @param channels the channels to consider\n * @param channel the channel we want shifted\n * @param shift  the amount to subtract from the channel.\n *\n * @returns a string of the form 'x, y-[shift], z' where any one channel can\n * have the shift applied.\n */\nfunction shiftedChannels(channels: string[], channel: string, shift: number) {\n  const channelIdx = channels.indexOf(channel);\n  const res = channels.map((c, idx) => {\n    if (idx === channelIdx) {\n      return `${c} - ${shift}`;\n    } else {\n      return c;\n    }\n  });\n  return res.join();\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              if (${isChannelsLast}) {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[${channelDim}];\n\n        ivec2 dyCorner = ivec2(coords[${rowDim}], coords[${colDim}]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n\n              if (${isChannelsLast}) {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    this.userCode = `\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yF = 0; yF < ${convInfo.outDepth}; yF++) {\n            int xF = wF + yF * ${strideDepth} - ${padFront};\n\n            if (xF < 0 || xF >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n              int xR = wR + yR * ${strideHeight} - ${padTop};\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n                int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padFront = filterDepth - 1 - convInfo.padInfo.front;\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          float dyF = float(dyFCorner + wF) / ${strideDepth}.0;\n\n          if (dyF < 0.0 || dyF >= ${convInfo.outDepth}.0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ${filterDepth} - 1 - wF;\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ${filterHeight} - 1 - wR;\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ${filterWidth} - 1 - wC;\n\n              for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * ${channelMul} + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class DepthwiseConv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < ${channelMul}; dm++) {\n              int d2 = d1 * ${channelMul} + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivationWeights = false) {\n    this.outputShape = convInfo.outShape;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivationWeights) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivationWeights) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[${channelDim}];\n\n        ivec2 xRCCorner =\n            ivec2(coords[${rowDim}], coords[${colDim}]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${convInfo.inWidth}) {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (${inputDepthVec4Remainder === 1}) {\n\n              if (${isChannelsLast}) {\n                dotProd +=\n                    getX(batch, xR, xC, ${inputDepthNearestVec4}) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              } else {\n                dotProd +=\n                    getX(batch, ${inputDepthNearestVec4}, xR, xC) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              }\n\n            } else if (${inputDepthVec4Remainder === 2}) {\n              vec2 wValues = vec2(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (${inputDepthVec4Remainder === 3}) {\n              vec3 wValues = vec3(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 2, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nexport class Conv3DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.outShape;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n\n    this.userCode = `\n      const ivec3 strides = ivec3(${strideDepth}, ${strideHeight}, ${\n        strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          int xF = xFCorner + wF * ${dilationDepth};\n\n          if (xF < 0 || xF >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            int xR = xRCorner + wR * ${dilationHeight};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (${inputDepthVec4Remainder === 1}) {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}) *\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2);\n              } else if (${inputDepthVec4Remainder === 2}) {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (${inputDepthVec4Remainder === 3}) {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ${channelMul};\n        int q = d2 - d1 * ${channelMul};\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${xNumRows}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${xNumCols}) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as util from '../../util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConvPacked2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const texelsAcross = filterWidth;\n\n    let mainLoop = `int xR; int xC; int xCOffset;`;\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `\n          vec4 xTexelR${r}C${c * 2} = vec4(0.);\n          vec4 wR${r}C${c} = vec4(0.);\n          vec4 xR${r}C${c} = vec4(0.);`;\n      }\n    }\n\n    /**\n     * This vectorized implementation works by gathering the values needed for\n     * each output channel's dot product into vec4's and then multiplying them\n     * all together (this happens in the final double for-loop below). Most of\n     * the main loop consists of constructing these vec4's with the minimum\n     * number of texture2D calls, which means making use of all four returned\n     * values from a texture2D call at once.\n     */\n    for (let r = 0; r < filterHeight; r++) {\n      for (let texelC = 0; texelC < texelsAcross; texelC++) {\n        const c = texelC * 2;\n\n        mainLoop += `\n          xR = xRCorner + ${r * dilationHeight};\n          xC = xCCorner + ${c * dilationWidth};\n        `;\n\n        if (strideWidth === 1) {\n          if (c < filterWidth) {\n            // If padding is odd, the outer texels have to be composed.\n            if (padLeft % 2 === 1) {\n              // TODO: Ensure vec4 previous does not result in redundant sample,\n              // and avoid setting xTexelRC's that exceed the boundary in the\n              // first place rather than resetting them to vec4(0)).\n\n              // To compute xCOffset:\n              // - If padding is odd, we must add 1 to ensure we ask for an\n              // even-numbered row.\n              // - We subtract 2 to access the previous texel.\n\n              mainLoop += `\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= ${xNumCols}) {\n                    xTexelR${r}C${c}.zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= ${xNumCols}) {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR${r}C${c} = vec4(previous.zw, xTexelR${r}C${c}.xy);\n                } else {\n                  xR${r}C${c} = vec4(0, 0, xTexelR${r}C${c}.xy);\n                }\n              `;\n            } else {\n              // Padding is even, so xRC corresponds to a single texel.\n              mainLoop += `\n                if(xR >= 0 && xR < ${xNumRows} && xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xR${r}C${c} = xTexelR${r}C${c};\n              `;\n            }\n\n            if (c + 1 < filterWidth) {\n              // If dilation is even, the second entry should match the first\n              // (either both are composed or both are single samples). But if\n              // dilation is odd, then the second entry should be the opposite\n              // of the first (if the first is composed, the second is a single\n              // sample, and vice versa.)\n\n              const nextTexelOffset = padLeft % 2 === 0 ?\n                  util.nearestLargerEven(dilationWidth) :\n                  dilationWidth;\n\n              if ((dilationWidth % 2 === 0 && padLeft % 2 === 1) ||\n                  (dilationWidth % 2 !== 0 && padLeft % 2 !== 1)) {\n                mainLoop += `\n                  xCOffset = xC + ${padLeft % 2} + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n                `;\n\n                // If dilation > 1 then the xRC's will not be able to share any\n                // values, so each xRC will require two unique calls to getX.\n                if (dilationWidth > 1) {\n                  mainLoop += `\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < ${xNumRows} &&\n                      xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                      xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR${r}C${c} = vec4(0.);\n                    }\n                  `;\n                }\n\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.xy);\n                `;\n              } else {\n                mainLoop += `\n                  xCOffset = xC + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR${r}C${c + 1} = xTexelR${r}C${c + 2};\n                `;\n              }\n            }\n          }\n        } else {  // stride > 1\n          if (c < filterWidth) {\n            mainLoop += `\n              if(xR >= 0 && xR < ${xNumRows}) {\n            `;\n\n            // Depending on whether padLeft is even or odd, we want either the\n            // xy or zw channels from X texels for xR${r}C${c}. If padLeft is\n            // even, xR${r}C${c + 1} is simply the zw channels of texels we've\n            // already sampled. But if padLeft is odd, xR${r}C{$c + 1}.zw will\n            // need to come from the xy channels of a new texel, hence the `vec4\n            // final` initialized below.\n            if (padLeft % 2 === 1) {\n              mainLoop += `\n                xCOffset = xC + 1 - ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + ${strideWidth};\n                  if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR${r}C${c + 1} = vec4(xTexelR${r}C${c + 2}.xy, final.xy);\n                `;\n              }\n            } else {\n              mainLoop += `\n                if(xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.xy, xTexelR${r}C${c + 2}.xy);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n                `;\n              }\n            }\n\n            mainLoop += `}`;\n          }\n        }\n\n        if (c < filterWidth) {\n          mainLoop += `\n            vec4 wTexelR${r}C${c} = getW(${r}, ${c}, d1, q);\n            wR${r}C${c} = vec4(wTexelR${r}C${c}.xz, wTexelR${r}C${c}.xz);\n          `;\n\n          if (c + 1 < filterWidth) {\n            mainLoop += `\n              vec4 wTexelR${r}C${c + 1} = getW(${r}, ${c + 1}, d1, q);\n              wR${r}C${c + 1} =\n                vec4(wTexelR${r}C${c + 1}.xz, wTexelR${r}C${c + 1}.xz);`;\n          }\n        }\n      }\n    }\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `dotProd += xR${r}C${c} * wR${r}C${c};`;\n      }\n    }\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        ${mainLoop}\n\n        vec4 result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class CropAndResizeProgram implements GPGPUProgram {\n  variableNames = ['Image', 'Boxes', 'BoxInd'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      imageShape: [number, number, number, number], boxShape: [number, number],\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number) {\n    const [batch, imageHeight, imageWidth, depth] = imageShape;\n    const [numBoxes, ] = boxShape;\n    const [cropHeight, cropWidth] = cropSize;\n    this.outputShape = [numBoxes, cropHeight, cropWidth, depth];\n    const methodId = method === 'bilinear' ? 1 : 0;\n\n    const [inputHeightFloat, inputWidthFloat] =\n        [`${imageHeight - 1}.0`, `${imageWidth - 1}.0`];\n\n    const [heightRatio, heightScale, inY] = cropHeight > 1 ?\n        [\n          `${(imageHeight - 1) / (cropHeight - 1)}`,\n          '(y2-y1) * height_ratio',\n          `y1*${inputHeightFloat} + float(y)*(height_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (y1+y2) * ${inputHeightFloat}`,\n        ];\n    const [widthRatio, widthScale, inX] = cropWidth > 1 ?\n        [\n          `${(imageWidth - 1) / (cropWidth - 1)}`,\n          '(x2-x1) * width_ratio',\n          `x1*${inputWidthFloat} + float(x)*(width_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (x1+x2) * ${inputWidthFloat}`,\n        ];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op_gpu.cu.cc\n    this.userCode = `\n      const float height_ratio = float(${heightRatio});\n      const float width_ratio = float(${widthRatio});\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ${batch}) {\n          return;\n        }\n\n        float height_scale = ${heightScale};\n        float width_scale = ${widthScale};\n\n        float in_y = ${inY};\n        if( in_y < 0.0 || in_y > ${inputHeightFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n        float in_x = ${inX};\n        if( in_x < 0.0 || in_x > ${inputWidthFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(${methodId} == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class CumSumProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(shape: number[], exclusive: boolean, reverse: boolean) {\n    this.outputShape = shape;\n    const rank = shape.length;\n    const finalDim = shape[shape.length - 1];\n    const comparator = reverse ? '<' : '>';\n\n    this.userCode = `\n      int getIndex(int i) {\n        ${reverse ? `return ${finalDim} -i - 1;` : 'return i;'}\n      }\n\n      void main() {\n        ${getCoordsDataType(rank)} coords = getOutputCoords();\n        int end = ${getFinalCoord(rank, 'coords')};\n        float val = 0.0;\n        for (int i = ${finalDim} - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx ${comparator} end) {\n            continue;\n          }\n          if (idx == end && ${exclusive}) {\n            continue;\n          }\n          ${getFinalCoord(rank, 'coords')} = idx;\n          val += getX(${getCoords(rank, 'coords')});\n        }\n        setOutput(val);\n      }\n    `;\n  }\n}\n\nfunction getCoords(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.x, ${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.x, ${name}.y, ${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.x, ${name}.y, ${name}.z, ${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n\nfunction getFinalCoord(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: [number, number, number];\n  packedInputs = false;\n  packedOutput = true;\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: [number, number, number];\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthToSpaceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  blockSize: number;\n  dataFormat: string;\n\n  constructor(\n      outputShape: number[], blockSize: number, dataFormat: 'NHWC'|'NCHW') {\n    this.outputShape = outputShape;\n    this.blockSize = blockSize;\n    this.dataFormat = dataFormat;\n    this.userCode = `\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ${this.getHeightCoordString()};\n      int w = ${this.getWidthCoordString()};\n      int d = ${this.getDepthCoordString()};\n\n      int in_h = h / ${blockSize};\n      int offset_h = imod(h, ${blockSize});\n      int in_w = w / ${blockSize};\n      int offset_w = imod(w, ${blockSize});\n      int offset_d = (offset_h * ${blockSize} + offset_w) *\n        ${this.getOutputDepthSize()};\n      int in_d = d + offset_d;\n\n      float result = ${this.getInputSamplingString()};\n      setOutput(result);\n    }\n  `;\n  }\n\n  private getHeightCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[1]`;\n    } else {\n      return `coords[2]`;\n    }\n  }\n\n  private getWidthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[2]`;\n    } else {\n      return `coords[3]`;\n    }\n  }\n\n  private getDepthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[3]`;\n    } else {\n      return `coords[1]`;\n    }\n  }\n\n  private getOutputDepthSize(): number {\n    if (this.dataFormat === 'NHWC') {\n      return this.outputShape[3];\n    } else {\n      return this.outputShape[1];\n    }\n  }\n\n  private getInputSamplingString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `getX(b, in_h, in_w, in_d)`;\n    } else {\n      return `getX(b, in_d, in_h, in_w)`;\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DiagProgram implements GPGPUProgram {\n  variableNames = ['X'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(size: number) {\n    this.outputShape = [size, size];\n    this.userCode = `\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        float x = getAAtOutCoords();\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = false;\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: [number, number, number]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class EncodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let output = `result`;\n    if (inputIsUnsignedByte) {\n      output = `floor(result * 255. + 0.5)`;\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / ${width};\n        int c = imod(flatIndex, ${width});\n        vec2 uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n        vec4 values = ${glsl.texture2D}(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        ${glsl.output} = vec4(${output}, 0., 0., 0.);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\n/*\nThis is how the shader encodes a tensor with shape = [2, 3, 5]\n(indices are [batch, row, col]).\n\n000|001   002|003   004|xxx   020|021   022|023   024|xxx\n-------   -------   -------   -------   -------   -------\n010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\n100|101   102|103   104|xxx   120|121   122|123   124|xxx\n-------   -------   -------   -------   -------   -------\n110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\nSingle texels contain only values from the same batch, and from adjacent rows\nand columns.\n */\n\nexport class EncodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let mainLoop = '';\n    let output = 'result';\n    if (inputIsUnsignedByte) {\n      output = 'floor(result * 255. + 0.5)';\n    }\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        const channel = row * 2 + col;\n\n        mainLoop += `\n          localCoords = coords;\n          if(localCoords[2] + ${col} < ${outputShape[2]}) {\n            localCoords[2] += ${col};\n            if(localCoords[1] + ${row} < ${outputShape[1]}) {\n              localCoords[1] += ${row};\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / ${width};\n              c = imod(flatIndex, ${width});\n              uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n              values = ${glsl.texture2D}(A, uv);\n\n              if(offset == 0) {\n                result[${channel}] = values[0];\n              } else if(offset == 1) {\n                result[${channel}] = values[1];\n              } else if(offset == 2) {\n                result[${channel}] = values[2];\n              } else {\n                result[${channel}] = values[3];\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        ${mainLoop}\n\n        ${glsl.output} = ${output};\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const COMPLEX_FFT = {\n  REAL: 'return real * expR - imag * expI;',\n  IMAG: 'return real * expI + imag * expR;'\n};\n\nexport class FFTProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, inputShape: [number, number], inverse: boolean) {\n    const innerDim = inputShape[1];\n    this.outputShape = inputShape;\n\n    const exponentMultiplierSnippet =\n        inverse ? `2.0 * ${Math.PI}` : `-2.0 * ${Math.PI}`;\n    const resultDenominator = inverse ? `${innerDim}.0` : '1.0';\n\n    this.userCode = `\n      const float exponentMultiplier = ${exponentMultiplierSnippet};\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        ${op}\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float(${innerDim});\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < ${innerDim}; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / ${resultDenominator};\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class FillProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  valueLoc: WebGLUniformLocation;\n\n  constructor(shape: number[], value: number) {\n    this.variableNames = ['x'];\n    this.outputShape = shape;\n\n    this.userCode = `\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(value: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.valueLoc == null) {\n        this.valueLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'value');\n      }\n      gpgpu.gl.uniform1f(this.valueLoc, value);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherProgram implements GPGPUProgram {\n  variableNames = ['A', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], indicesLength: number, axis: number) {\n    const outputShape: number[] = aShape.slice();\n    outputShape[axis] = indicesLength;\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape, axis);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[], axis: number): string {\n  const rank = aShape.length;\n  if (rank > 4) {\n    throw Error(`Gather for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `int(getIndices(resRC))`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    if (i === axis) {\n      sourceCoords.push(`int(getIndices(${currentCoords[i]}))`);\n    } else {\n      sourceCoords.push(`${currentCoords[i]}`);\n    }\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherNDProgram implements GPGPUProgram {\n  variableNames = ['x', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  constructor(\n      private sliceDim: number, private strides: number[], shape: number[]) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    const strideString = this.sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${this.strides});\n         void main() {\n          ${dtype} coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < ${this.sliceDim}; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * ${strideString};\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PixelData, TypedArray} from '../../types';\n\nimport {getGlslDifferences} from './glsl_version';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport * as webgl_util from './webgl_util';\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean): WebGLShader {\n  const glsl = getGlslDifferences();\n  const vertexShaderSource = `${glsl.version}\n    precision highp float;\n    ${glsl.attribute} vec3 clipSpacePos;\n    ${glsl.attribute} vec2 uv;\n    ${glsl.varyingVs} vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }`;\n  return webgl_util.createVertexShader(gl, debug, vertexShaderSource);\n}\n\nexport function createVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // [x y z u v] * [upper-left, lower-left, upper-right, lower-right]\n  const vertexArray = new Float32Array(\n      [-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]);\n  return webgl_util.createStaticVertexBuffer(gl, debug, vertexArray);\n}\n\nexport function createIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // OpenGL (and WebGL) have \"CCW == front\" winding\n  const triangleVertexIndices = new Uint16Array([0, 1, 2, 2, 1, 3]);\n  return webgl_util.createStaticIndexBuffer(gl, debug, triangleVertexIndices);\n}\n\nfunction createAndConfigureTexture(\n    gl: WebGLRenderingContext, debug: boolean, width: number, height: number,\n    internalFormat: number, textureFormat: number,\n    textureType: number): WebGLTexture {\n  webgl_util.validateTextureSize(width, height);\n  const texture = webgl_util.createTexture(gl, debug);\n\n  const tex2d = gl.TEXTURE_2D;\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(tex2d, texture));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MIN_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MAG_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          tex2d, 0, internalFormat, width, height, 0, textureFormat,\n          textureType, null));\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n  return texture;\n}\n\nexport function createFloat32MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatFloat,\n      textureConfig.textureFormatFloat, gl.FLOAT);\n}\n\nexport function createFloat16MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatHalfFloat,\n      textureConfig.textureFormatFloat, textureConfig.textureTypeHalfFloat);\n}\n\nexport function createUnsignedBytesMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE);\n}\n\nexport function createPackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedFloat,\n      gl.RGBA, gl.FLOAT);\n}\n\nexport function createFloat16PackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedHalfFloat,\n      gl.RGBA, textureConfig.textureTypeHalfFloat);\n}\n\nexport function bindVertexProgramAttributeStreams(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    vertexBuffer: WebGLBuffer): boolean {\n  const posOffset = 0;               // x is the first buffer element\n  const uvOffset = 3 * 4;            // uv comes after [x y z]\n  const stride = (3 * 4) + (2 * 4);  // xyz + uv, each entry is 4-byte float.\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer));\n  const success = webgl_util.bindVertexBufferToProgramAttribute(\n      gl, debug, program, 'clipSpacePos', vertexBuffer, 3, stride, posOffset);\n  return success &&\n      webgl_util.bindVertexBufferToProgramAttribute(\n          gl, debug, program, 'uv', vertexBuffer, 2, stride, uvOffset);\n}\n\nexport function uploadDenseMatrixToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    width: number, height: number, data: TypedArray,\n    textureConfig: TextureConfig) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n\n  let dataForUpload: TypedArray, texelDataType: number, internalFormat: number;\n  if (data instanceof Uint8Array) {\n    dataForUpload = new Uint8Array(width * height * 4);\n    texelDataType = gl.UNSIGNED_BYTE;\n    internalFormat = gl.RGBA;\n  } else {\n    dataForUpload = new Float32Array(width * height * 4);\n    texelDataType = gl.FLOAT;\n    internalFormat = textureConfig.internalFormatPackedFloat;\n  }\n\n  dataForUpload.set(data);\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          gl.TEXTURE_2D, 0, internalFormat, width, height, 0, gl.RGBA,\n          texelDataType, dataForUpload));\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function uploadPixelDataToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, pixels.width, pixels.height, 0, gl.RGBA,\n            gl.UNSIGNED_BYTE, (pixels as PixelData).data));\n  } else {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE,\n            pixels as ImageData | HTMLImageElement | HTMLCanvasElement |\n                HTMLVideoElement));\n  }\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function createBufferFromOutputTexture(\n    gl2: WebGL2RenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLBuffer {\n  // Create and bind the buffer.\n  const buffer = gl2.createBuffer();\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer));\n\n  // Initialize the buffer to the size of the texture in bytes.\n  const bytesPerFloat = 4;\n  const valuesPerTexel = 4;\n  const bufferSizeBytes = bytesPerFloat * valuesPerTexel * rows * columns;\n\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.bufferData(\n          gl2.PIXEL_PACK_BUFFER, bufferSizeBytes, gl2.STREAM_READ));\n\n  // Enqueue a command on the GPU command queue to copy of texture into the\n  // buffer.\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.readPixels(0, 0, columns, rows, gl2.RGBA, gl2.FLOAT, 0));\n\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null));\n\n  return buffer;\n}\n\nexport function downloadFloat32MatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer,\n    size: number): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget = new Float32Array(size);\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadByteEncodedFloatMatrixFromOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig) {\n  const [w, h] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n\n  const numChannels = 4;\n  const downloadTarget = new Uint8Array(\n      tex_util.getUnpackedArraySizeFromMatrixSize(rows * columns, numChannels));\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, w, h, textureConfig.downloadTextureFormat, gl.UNSIGNED_BYTE,\n          downloadTarget));\n\n  // By wrapping the buffer in a Float32Array, we use native browser IEEE 754\n  // decoding of the 4 bytes that back each 32 bit float.\n  return new Float32Array(downloadTarget.buffer);\n}\n\nexport function downloadPackedMatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer, batch: number, rows: number,\n    cols: number, physicalRows: number, physicalCols: number,\n    textureConfig: TextureConfig): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget =\n      new Float32Array(tex_util.getPackedRGBAArraySizeFromMatrixShape(\n          physicalRows, physicalCols));\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadMatrixFromPackedOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, physicalRows: number,\n    physicalCols: number): Float32Array {\n  const packedRGBA = new Float32Array(physicalRows * physicalCols * 4);\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, physicalCols, physicalRows, gl.RGBA, gl.FLOAT, packedRGBA));\n\n  return packedRGBA;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {PixelData, TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {getWebGLContext, setWebGLContext} from './canvas_util';\nimport * as gpgpu_util from './gpgpu_util';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport {WebGL1DisjointQueryTimerExtension, WebGL2DisjointQueryTimerExtension} from './webgl_types';\nimport * as webgl_util from './webgl_util';\n\nexport interface FenceContext {\n  query: WebGLQuery|WebGLSync;\n  isFencePassed(): boolean;\n}\n\nexport class GPGPUContext {\n  gl: WebGLRenderingContext;\n  textureFloatExtension: {};\n  textureHalfFloatExtension: {};\n  colorBufferFloatExtension: {};\n  colorBufferHalfFloatExtension: {};\n  disjointQueryTimerExtension: WebGL2DisjointQueryTimerExtension|\n      WebGL1DisjointQueryTimerExtension;\n  vertexBuffer: WebGLBuffer;\n  indexBuffer: WebGLBuffer;\n  framebuffer: WebGLFramebuffer;\n  outputTexture: WebGLTexture|null = null;\n  program: WebGLProgram|null = null;\n  private disposed = false;\n  private disjoint: boolean;\n  private textureConfig: TextureConfig;\n\n  constructor(gl?: WebGLRenderingContext) {\n    const glVersion = env().getNumber('WEBGL_VERSION');\n    if (gl != null) {\n      this.gl = gl;\n      setWebGLContext(glVersion, gl);\n    } else {\n      this.gl = getWebGLContext(glVersion);\n    }\n    // WebGL 2.0 enables texture floats without an extension.\n    let COLOR_BUFFER_FLOAT = 'WEBGL_color_buffer_float';\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (env().getNumber('WEBGL_VERSION') === 1) {\n      const TEXTURE_FLOAT = 'OES_texture_float';\n      const TEXTURE_HALF_FLOAT = 'OES_texture_half_float';\n\n      this.textureFloatExtension =\n          webgl_util.getExtensionOrThrow(this.gl, this.debug, TEXTURE_FLOAT);\n      if (webgl_util.hasExtension(this.gl, TEXTURE_HALF_FLOAT)) {\n        this.textureHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, TEXTURE_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support half float textures, yet the ' +\n            'environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n\n      this.colorBufferFloatExtension = this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, COLOR_BUFFER_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support color renderable half floats, yet ' +\n            'the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n    } else {\n      COLOR_BUFFER_FLOAT = 'EXT_color_buffer_float';\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_FLOAT)) {\n        this.colorBufferFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      } else if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      } else {\n        throw new Error('GL context does not support color renderable floats');\n      }\n    }\n\n    this.vertexBuffer = gpgpu_util.createVertexBuffer(this.gl, this.debug);\n    this.indexBuffer = gpgpu_util.createIndexBuffer(this.gl, this.debug);\n    this.framebuffer = webgl_util.createFramebuffer(this.gl, this.debug);\n\n    this.textureConfig =\n        tex_util.getTextureConfig(this.gl, this.textureHalfFloatExtension);\n  }\n\n  private get debug(): boolean {\n    return env().getBool('DEBUG');\n  }\n\n  public dispose() {\n    if (this.disposed) {\n      return;\n    }\n    if (this.program != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound WebGLProgram.' +\n          ' This is probably a resource leak, delete the program with ' +\n          'GPGPUContext.deleteProgram before disposing.');\n    }\n    if (this.outputTexture != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound output matrix ' +\n          'texture.  This is probably a resource leak, delete the output ' +\n          'matrix texture with GPGPUContext.deleteMatrixTexture before ' +\n          'disposing.');\n    }\n    const gl = this.gl;\n    webgl_util.callAndCheck(gl, this.debug, () => gl.finish());\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteFramebuffer(this.framebuffer));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteBuffer(this.indexBuffer));\n    this.disposed = true;\n  }\n\n  public createFloat32MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat32MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createFloat16MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createUnsignedBytesMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createUnsignedBytesMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public uploadPixelDataToTexture(\n      texture: WebGLTexture,\n      pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadPixelDataToTexture(this.gl, this.debug, texture, pixels);\n  }\n\n  public uploadDenseMatrixToTexture(\n      texture: WebGLTexture, width: number, height: number, data: TypedArray) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadDenseMatrixToTexture(\n        this.gl, this.debug, texture, width, height, data, this.textureConfig);\n  }\n\n  public createFloat16PackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16PackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createPackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createPackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public deleteMatrixTexture(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    if (this.outputTexture === texture) {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n      this.outputTexture = null;\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.deleteTexture(texture));\n  }\n\n  public downloadByteEncodedFloatMatrixFromOutputTexture(\n      texture: WebGLTexture, rows: number, columns: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadByteEncodedFloatMatrixFromOutputTexture(\n            this.gl, this.debug, rows, columns, this.textureConfig));\n  }\n\n  public downloadPackedMatrixFromBuffer(\n      buffer: WebGLBuffer, batch: number, rows: number, columns: number,\n      physicalRows: number, physicalCols: number): Float32Array {\n    return gpgpu_util.downloadPackedMatrixFromBuffer(\n        this.gl, buffer, batch, rows, columns, physicalRows, physicalCols,\n        this.textureConfig);\n  }\n\n  public downloadFloat32MatrixFromBuffer(buffer: WebGLBuffer, size: number):\n      Float32Array {\n    return gpgpu_util.downloadFloat32MatrixFromBuffer(this.gl, buffer, size);\n  }\n\n  public createBufferFromTexture(\n      texture: WebGLTexture, rows: number, columns: number): WebGLBuffer {\n    this.bindTextureToFrameBuffer(texture);\n    const result = gpgpu_util.createBufferFromOutputTexture(\n        this.gl as WebGL2RenderingContext, this.debug, rows, columns,\n        this.textureConfig);\n    this.unbindTextureToFrameBuffer();\n    return result;\n  }\n\n  public createAndWaitForFence(): Promise<void> {\n    const fenceContext = this.createFence(this.gl);\n    return this.pollFence(fenceContext);\n  }\n\n  private createFence(gl: WebGLRenderingContext): FenceContext {\n    let query: WebGLQuery|WebGLSync;\n    let isFencePassed: () => boolean;\n\n    if (env().getBool('WEBGL_FENCE_API_ENABLED')) {\n      const gl2 = gl as WebGL2RenderingContext;\n\n      const sync = gl2.fenceSync(gl2.SYNC_GPU_COMMANDS_COMPLETE, 0);\n      gl.flush();\n\n      isFencePassed = () => {\n        const status = gl2.clientWaitSync(sync, 0, 0);\n        return status === gl2.ALREADY_SIGNALED ||\n            status === gl2.CONDITION_SATISFIED;\n      };\n\n      query = sync;\n    } else if (\n        env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0) {\n      query = this.beginQuery();\n      this.endQuery();\n      isFencePassed = () => this.isQueryAvailable(\n          query,\n          env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n    } else {\n      // If we have no way to fence, return true immediately. This will fire in\n      // WebGL 1.0 when there is no disjoint query timer. In this case, because\n      // the fence passes immediately, we'll immediately ask for a download of\n      // the texture, which will cause the UI thread to hang.\n      isFencePassed = () => true;\n    }\n\n    return {query, isFencePassed};\n  }\n\n  public downloadMatrixFromPackedTexture(\n      texture: WebGLTexture, physicalRows: number,\n      physicalCols: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadMatrixFromPackedOutputTexture(\n            this.gl, this.debug, physicalRows, physicalCols));\n  }\n\n  private vertexAttrsAreBound = false;\n\n  public createProgram(fragmentShaderSource: string): WebGLProgram {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    const fragmentShader: WebGLShader =\n        webgl_util.createFragmentShader(gl, this.debug, fragmentShaderSource);\n    const vertexShader: WebGLShader =\n        gpgpu_util.createVertexShader(gl, this.debug);\n    const program: WebGLProgram = webgl_util.createProgram(\n        gl,\n        this.debug,\n    );\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, vertexShader));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, fragmentShader));\n    webgl_util.linkProgram(gl, this.debug, program);\n    if (this.debug) {\n      webgl_util.validateProgram(gl, this.debug, program);\n    }\n    if (!this.vertexAttrsAreBound) {\n      this.setProgram(program);\n      this.vertexAttrsAreBound = gpgpu_util.bindVertexProgramAttributeStreams(\n          gl, this.debug, this.program, this.vertexBuffer);\n    }\n    return program;\n  }\n\n  public deleteProgram(program: WebGLProgram) {\n    this.throwIfDisposed();\n    if (program === this.program) {\n      this.program = null;\n    }\n    if (program != null) {\n      webgl_util.callAndCheck(\n          this.gl, this.debug, () => this.gl.deleteProgram(program));\n    }\n  }\n\n  public setProgram(program: WebGLProgram|null) {\n    this.throwIfDisposed();\n    this.program = program;\n    if ((this.program != null) && this.debug) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.useProgram(program));\n  }\n\n  public getUniformLocation(\n      program: WebGLProgram, uniformName: string,\n      shouldThrow = true): WebGLUniformLocation {\n    this.throwIfDisposed();\n    if (shouldThrow) {\n      return webgl_util.getProgramUniformLocationOrThrow(\n          this.gl, this.debug, program, uniformName);\n    } else {\n      return webgl_util.getProgramUniformLocation(\n          this.gl, program, uniformName);\n    }\n  }\n\n  public getAttributeLocation(program: WebGLProgram, attribute: string):\n      number {\n    this.throwIfDisposed();\n    return webgl_util.callAndCheck(\n        this.gl, this.debug,\n        () => this.gl.getAttribLocation(program, attribute));\n  }\n\n  public getUniformLocationNoThrow(program: WebGLProgram, uniformName: string):\n      WebGLUniformLocation {\n    this.throwIfDisposed();\n    return this.gl.getUniformLocation(program, uniformName);\n  }\n\n  public setInputMatrixTexture(\n      inputMatrixTexture: WebGLTexture, uniformLocation: WebGLUniformLocation,\n      textureUnit: number) {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    webgl_util.bindTextureToProgramUniformSampler(\n        this.gl, this.debug, this.program, inputMatrixTexture, uniformLocation,\n        textureUnit);\n  }\n\n  public setOutputMatrixTexture(\n      outputMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.setOutputMatrixTextureDriver(outputMatrixTexture, columns, rows);\n  }\n\n  public setOutputPackedMatrixTexture(\n      outputPackedMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.throwIfDisposed();\n    const [width, height] =\n        tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n    this.setOutputMatrixTextureDriver(outputPackedMatrixTexture, width, height);\n  }\n\n  public setOutputMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    this.setOutputMatrixWriteRegionDriver(\n        startColumn, startRow, numColumns, numRows);\n  }\n\n  public setOutputPackedMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    throw new Error('setOutputPackedMatrixWriteRegion not implemented.');\n  }\n\n  public debugValidate() {\n    if (this.program != null) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.validateFramebuffer(this.gl);\n  }\n\n  public executeProgram() {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    const gl = this.gl;\n    if (this.debug) {\n      this.debugValidate();\n    }\n    webgl_util.callAndCheck(\n        gl, this.debug,\n        () => gl.drawElements(gl.TRIANGLES, 6, gl.UNSIGNED_SHORT, 0));\n  }\n\n  public blockUntilAllProgramsCompleted() {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(this.gl, this.debug, () => this.gl.finish());\n  }\n\n  private getQueryTimerExtension(): WebGL1DisjointQueryTimerExtension\n      |WebGL2DisjointQueryTimerExtension {\n    if (this.disjointQueryTimerExtension == null) {\n      this.disjointQueryTimerExtension =\n          webgl_util.getExtensionOrThrow(\n              this.gl, this.debug,\n              env().getNumber(\n                  'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2 ?\n                  'EXT_disjoint_timer_query_webgl2' :\n                  'EXT_disjoint_timer_query') as\n              WebGL1DisjointQueryTimerExtension |\n          WebGL2DisjointQueryTimerExtension;\n    }\n    return this.disjointQueryTimerExtension;\n  }\n\n  private getQueryTimerExtensionWebGL2(): WebGL2DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension();\n  }\n\n  private getQueryTimerExtensionWebGL1(): WebGL1DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension() as WebGL1DisjointQueryTimerExtension;\n  }\n\n  beginQuery(): WebGLQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const query = gl2.createQuery();\n      gl2.beginQuery(ext.TIME_ELAPSED_EXT, query);\n      return query;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    const query = ext.createQueryEXT() as WebGLQuery;\n    ext.beginQueryEXT(ext.TIME_ELAPSED_EXT, query);\n    return query;\n  }\n\n  endQuery() {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n      gl2.endQuery(ext.TIME_ELAPSED_EXT);\n      return;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    ext.endQueryEXT(ext.TIME_ELAPSED_EXT);\n  }\n\n  public async waitForQueryAndGetTime(query: WebGLQuery): Promise<number> {\n    await util.repeatedTry(\n        () => this.disposed ||  // while testing contexts are created / disposed\n                                // in rapid succession, so without this check we\n                                // may poll for the query timer indefinitely\n            this.isQueryAvailable(\n                query,\n                env().getNumber(\n                    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION')));\n    return this.getQueryTime(\n        query, env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n  }\n\n  private getQueryTime(query: WebGLQuery, queryTimerVersion: number): number {\n    if (queryTimerVersion === 0) {\n      return null;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n\n      const timeElapsedNanos = gl2.getQueryParameter(query, gl2.QUERY_RESULT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const timeElapsedNanos =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_EXT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    }\n  }\n\n  private isQueryAvailable(query: WebGLQuery, queryTimerVersion: number):\n      boolean {\n    if (queryTimerVersion === 0) {\n      return true;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const available =\n          gl2.getQueryParameter(query, gl2.QUERY_RESULT_AVAILABLE);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const available =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_AVAILABLE_EXT);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    }\n  }\n\n  pollFence(fenceContext: FenceContext) {\n    return new Promise<void>(resolve => {\n      this.addItemToPoll(() => fenceContext.isFencePassed(), () => resolve());\n    });\n  }\n\n  private itemsToPoll: PollItem[] = [];\n\n  pollItems(): void {\n    // Find the last query that has finished.\n    const index = linearSearchLastTrue(this.itemsToPoll.map(x => x.isDoneFn));\n    for (let i = 0; i <= index; ++i) {\n      const {resolveFn} = this.itemsToPoll[i];\n      resolveFn();\n    }\n    this.itemsToPoll = this.itemsToPoll.slice(index + 1);\n  }\n\n  private addItemToPoll(isDoneFn: () => boolean, resolveFn: () => void) {\n    this.itemsToPoll.push({isDoneFn, resolveFn});\n    if (this.itemsToPoll.length > 1) {\n      // We already have a running loop that polls.\n      return;\n    }\n    // Start a new loop that polls.\n    util.repeatedTry(() => {\n      this.pollItems();\n      // End the loop if no more items to poll.\n      return this.itemsToPoll.length === 0;\n    });\n  }\n\n  private bindTextureToFrameBuffer(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    webgl_util.bindColorTextureToFramebuffer(\n        this.gl, this.debug, texture, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(this.gl);\n    }\n  }\n\n  private unbindTextureToFrameBuffer() {\n    if (this.outputTexture != null) {\n      webgl_util.bindColorTextureToFramebuffer(\n          this.gl, this.debug, this.outputTexture, this.framebuffer);\n      if (this.debug) {\n        webgl_util.validateFramebuffer(this.gl);\n      }\n    } else {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n    }\n  }\n\n  private downloadMatrixDriver(\n      texture: WebGLTexture,\n      downloadAndDecode: () => Float32Array): Float32Array {\n    this.bindTextureToFrameBuffer(texture);\n    const result = downloadAndDecode();\n    this.unbindTextureToFrameBuffer();\n\n    return result;\n  }\n\n  private setOutputMatrixTextureDriver(\n      outputMatrixTextureMaybePacked: WebGLTexture, width: number,\n      height: number) {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    webgl_util.bindColorTextureToFramebuffer(\n        gl, this.debug, outputMatrixTextureMaybePacked, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(gl);\n    }\n    this.outputTexture = outputMatrixTextureMaybePacked;\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.viewport(0, 0, width, height));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.scissor(0, 0, width, height));\n  }\n\n  private setOutputMatrixWriteRegionDriver(\n      x: number, y: number, width: number, height: number) {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.scissor(x, y, width, height));\n  }\n\n  private throwIfDisposed() {\n    if (this.disposed) {\n      throw new Error('Attempted to use disposed GPGPUContext.');\n    }\n  }\n\n  private throwIfNoProgram() {\n    if (this.program == null) {\n      throw new Error('No GPU program is currently set.');\n    }\n  }\n}\n\ntype PollItem = {\n  isDoneFn: () => boolean,\n  resolveFn: () => void\n};\n\n/**\n * Finds the index of the last true element using linear search.\n * Note: We can't do binary search because Chrome expects us to explicitly\n * test all fences before download:\n * https://github.com/tensorflow/tfjs/issues/1145\n */\nexport function linearSearchLastTrue(arr: Array<() => boolean>): number {\n  let i = 0;\n  for (; i < arr.length; ++i) {\n    const isDone = arr[i]();\n    if (!isDone) {\n      break;\n    }\n  }\n  return i - 1;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\nimport {Tensor} from '../../tensor';\nimport {TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport * as shader_compiler from './shader_compiler';\nimport {InputInfo, ShapeInfo} from './shader_compiler';\nimport {PackingScheme, TextureData, TextureUsage} from './tex_util';\n\nexport interface GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  /** If true, this program expects packed input textures. Defaults to false. */\n  packedInputs?: boolean;\n  /** If true, this program produces a packed texture. Defaults to false. */\n  packedOutput?: boolean;\n  /**\n   * Affects what type of texture we allocate for the output. Defaults to\n   * `TextureUsage.RENDER`.\n   */\n  outTexUsage?: TextureUsage;\n  /**\n   * The type of scheme to use when packing texels for the output values.\n   * See `PackingScheme` for details. Defaults to `PackingScheme.SHARED_BATCH`.\n   */\n  outPackingScheme?: PackingScheme;\n}\n\nexport interface GPGPUBinary {\n  webGLProgram: WebGLProgram;\n  program: GPGPUProgram;\n  uniformLocations: {[name: string]: WebGLUniformLocation};\n  source: string;\n  inShapeInfos: ShapeInfo[];\n  outShapeInfo: ShapeInfo;\n  infLoc: WebGLUniformLocation;\n  nanLoc: WebGLUniformLocation;\n}\n\nexport interface TensorData {\n  shape: number[];\n  texData: TextureData;\n  isUniform: boolean;\n  // Available when we decide to upload as uniform instead of texture.\n  uniformValues?: TypedArray;\n}\n\nexport function compileProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, program: GPGPUProgram, inputs: TensorData[],\n    output: TensorData): GPGPUBinary {\n  const userCode = program.userCode;\n  const inputInfos: InputInfo[] = inputs.map((input, i) => {\n    const shapeInfo: ShapeInfo = {\n      logicalShape: input.shape,\n      texShape: input.isUniform ? null : input.texData.texShape,\n      isUniform: input.isUniform,\n      isPacked: input.isUniform ? false : input.texData.isPacked,\n      flatOffset: null\n    };\n    if (input.texData != null && input.texData.slice != null &&\n        input.texData.slice.flatOffset > 0) {\n      shapeInfo.flatOffset = input.texData.slice.flatOffset;\n    }\n    return {name: program.variableNames[i], shapeInfo};\n  });\n  const inShapeInfos = inputInfos.map(x => x.shapeInfo);\n  const outShapeInfo: ShapeInfo = {\n    logicalShape: output.shape,\n    texShape: output.texData.texShape,\n    isUniform: false,\n    isPacked: output.texData.isPacked,\n    flatOffset: null\n  };\n  const source = shader_compiler.makeShader(\n      inputInfos, outShapeInfo, userCode, program.packedInputs);\n\n  const webGLProgram = gpgpu.createProgram(source);\n\n  // Add special uniforms (NAN, INFINITY)\n  let infLoc: WebGLUniformLocation = null;\n  const nanLoc = gpgpu.getUniformLocation(webGLProgram, 'NAN', false);\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    infLoc = gpgpu.getUniformLocation(webGLProgram, 'INFINITY', false);\n  }\n\n  // Add user-defined uniforms\n  const uniformLocations: {[name: string]: WebGLUniformLocation} = {};\n  for (let i = 0; i < program.variableNames.length; i++) {\n    const varName = program.variableNames[i];\n    const shouldThrow = false;\n    uniformLocations[varName] =\n        gpgpu.getUniformLocation(webGLProgram, varName, shouldThrow);\n    uniformLocations[`offset${varName}`] =\n        gpgpu.getUniformLocation(webGLProgram, `offset${varName}`, shouldThrow);\n  }\n\n  return {\n    program,\n    source,\n    webGLProgram,\n    uniformLocations,\n    inShapeInfos,\n    outShapeInfo,\n    infLoc,\n    nanLoc,\n  };\n}\n\nfunction validateBinaryAndProgram(\n    shapeInfos: ShapeInfo[], inputs: TensorData[]) {\n  if (shapeInfos.length !== inputs.length) {\n    throw Error(\n        `Binary was compiled with ${shapeInfos.length} inputs, but ` +\n        `was executed with ${inputs.length} inputs`);\n  }\n\n  shapeInfos.forEach((s, i) => {\n    const shapeA = s.logicalShape;\n    const input = inputs[i];\n    const shapeB = input.shape;\n\n    if (!util.arraysEqual(shapeA, shapeB)) {\n      throw Error(\n          `Binary was compiled with different shapes than ` +\n          `the current args. Shapes ${shapeA} and ${shapeB} must match`);\n    }\n    // The input is uploaded as uniform.\n    if (s.isUniform && input.isUniform) {\n      return;\n    }\n\n    const texShapeA = s.texShape;\n    const texShapeB = input.isUniform ? null : input.texData.texShape;\n    if (!util.arraysEqual(texShapeA, texShapeB)) {\n      throw Error(\n          `Binary was compiled with different texture shapes than the` +\n          ` current args. Shape ${texShapeA} and ${texShapeB} must match`);\n    }\n  });\n}\n\nexport function runProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, binary: GPGPUBinary, inputs: TensorData[],\n    output: TensorData,\n    customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) =>\n        void): void {\n  validateBinaryAndProgram(binary.inShapeInfos, inputs);\n  validateBinaryAndProgram([binary.outShapeInfo], [output]);\n\n  const outTex = output.texData.texture;\n  const outTexShape = output.texData.texShape;\n  if (output.texData.isPacked) {\n    gpgpu.setOutputPackedMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  } else {\n    gpgpu.setOutputMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  }\n  gpgpu.setProgram(binary.webGLProgram);\n\n  // Set special uniforms (NAN, INFINITY)\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    if (binary.infLoc !== null) {\n      gpgpu.gl.uniform1f(binary.infLoc, Infinity);\n    }\n  }\n  if (binary.nanLoc !== null) {\n    gpgpu.gl.uniform1f(binary.nanLoc, NaN);\n  }\n\n  // Set user-defined inputs\n  inputs.forEach((input, i) => {\n    const varName = binary.program.variableNames[i];\n    const varLoc = binary.uniformLocations[varName];\n    const varOffsetLoc = binary.uniformLocations[`offset${varName}`];\n\n    if (varLoc == null) {\n      // The compiler inferred that this variable is not used in this shader.\n      return;\n    }\n\n    if (input.isUniform) {\n      // Upload the values of the tensor as uniform.\n      if (util.sizeFromShape(input.shape) < 2) {\n        gpgpu.gl.uniform1f(varLoc, input.uniformValues[0]);\n      } else {\n        let vals = input.uniformValues;\n        if (!(vals instanceof Float32Array)) {\n          vals = new Float32Array(vals);\n        }\n        gpgpu.gl.uniform1fv(varLoc, vals);\n      }\n      return;\n    }\n\n    // If the input was sliced, upload the flat offset index.\n    if (input.texData.slice != null && varOffsetLoc != null) {\n      gpgpu.gl.uniform1i(varOffsetLoc, input.texData.slice.flatOffset);\n    }\n\n    gpgpu.setInputMatrixTexture(input.texData.texture, varLoc, i);\n  });\n\n  if (customSetup != null) {\n    customSetup(gpgpu, binary.webGLProgram);\n  }\n  gpgpu.executeProgram();\n}\n\nexport function makeShaderKey(\n    program: GPGPUProgram, inputs: TensorData[], output: TensorData): string {\n  let keyInputs = '';\n  inputs.concat(output).forEach(x => {\n    const hasOffset = x.texData != null && x.texData.slice != null &&\n        x.texData.slice.flatOffset > 0;\n    const texShape = x.isUniform ? 'uniform' : x.texData.texShape;\n    keyInputs += `${x.shape}_${texShape}_${hasOffset}`;\n  });\n  const keyUserCode = program.userCode;\n  let key = program.constructor.name;\n  // Fast string concat. See https://jsperf.com/string-concatenation/14.\n  key += '_' + keyInputs + '_' + keyUserCode;\n  return key;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Im2ColPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      outputShape: number[], inputShape: number[], convInfo: Conv2DInfo) {\n    this.outputShape = outputShape;\n\n    const {\n      filterWidth,\n      inChannels,\n      strideWidth,\n      strideHeight,\n      padInfo,\n      outWidth,\n      dilationWidth,\n      dilationHeight,\n      dataFormat\n    } = convInfo;\n    const {left, top} = padInfo;\n    const itemsPerBlockRow = inChannels * filterWidth;\n    const glsl = getGlslDifferences();\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const rowDim = isChannelsLast ? 0 : 1;\n    const colDim = isChannelsLast ? 1 : 2;\n\n    let unrolled = ``;\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        unrolled += `\n          blockIndex = rc.y + ${col};\n          pos = rc.x + ${row};\n\n          if(blockIndex < ${outputShape[1]} && pos < ${outputShape[0]}) {\n            offsetY = int(blockIndex / (${outWidth})) * ${strideHeight} - ${\n            top};\n            d0 = offsetY + ${dilationHeight} * (pos / ${itemsPerBlockRow});\n\n            if(d0 < ${inputShape[rowDim]} && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), ${outWidth}.) * ${\n            strideWidth}. - ${left}.);\n              d1 = offsetX + ${dilationWidth} * (int(mod(float(pos), ${\n            itemsPerBlockRow}.) / ${inChannels}.));\n\n              if(d1 < ${inputShape[colDim]} && d1 >= 0) {\n\n                ch = int(mod(float(pos), ${inChannels}.));\n\n                if (${isChannelsLast}) {\n                  innerDims = vec2(d1, ch);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ${unrolled}\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -${rad}; j <= ${rad}; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ${maxD}) {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ${powOperator};\n        setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNGradProgram implements GPGPUProgram {\n  variableNames = ['inputImage', 'outputImage', 'dy'];\n  outputShape: number[] = [];\n  userCode: string;\n  depthRadius: number;\n  bias: number;\n  alpha: number;\n  beta: number;\n  depth: number;\n\n  constructor(\n      inputShape: number[], depthRadius: number, bias: number, alpha: number,\n      beta: number) {\n    this.outputShape = inputShape;\n    this.depth = inputShape[3];\n    this.depthRadius = depthRadius;\n    this.bias = bias;\n    this.alpha = alpha;\n    this.beta = beta;\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < ${this.depth}; ++d) {\n          int depthBegin = int(max(0.0, float(d - ${depthRadius})));\n          int depthEnd = int(min(float(${this.depth}),\n              float(d + ${depthRadius} + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ${this.depth};\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(${alpha}) * norm + float(${bias});\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(${alpha})\n                * float(${beta})\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ${beta});\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ${this.outputShape[3]};\n        bool hasNextRow = c < ${this.outputShape[2]};\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - ${rad};\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - ${rad}; j <= ${rad}; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${maxD}));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * ${powOperator};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MaxPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex = effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n          wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ${lastIndex} - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ${effectiveFilterWidth} + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class MaxPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex =\n        effectiveFilterDepth * effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n           wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ${lastIndex} -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                  wR * ${effectiveFilterWidth} + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MatMulPackedProgram implements GPGPUProgram {\n  variableNames = ['matrixA', 'matrixB'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      aShape: [number, number, number], outputShape: [number, number, number],\n      transposeA = false, transposeB = false, addBias = false,\n      activation: string = null, hasPreluActivation = false) {\n    this.outputShape = outputShape;\n\n    const sharedDim = transposeA ? aShape[1] : aShape[2];\n    const sharedDimensionPacked = Math.ceil(sharedDim / 2);\n\n    const aSample = transposeA ? 'i * 2, rc.y' : 'rc.y, i * 2';\n    const bSample = transposeB ? 'rc.z, i * 2' : 'i * 2, rc.z';\n    const aSwizzle = transposeA ? ['a.xxyy', 'a.zzww'] : ['a.xxzz', 'a.yyww'];\n    const bSwizzle = transposeB ? ['b.xzxz', 'b.ywyw'] : ['b.xyxy', 'b.zwzw'];\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const float sharedDimension = ${sharedDimensionPacked}.0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < ${sharedDimensionPacked}; i++) {\n          vec4 a = getMatrixA(rc.x, ${aSample});\n          vec4 b = getMatrixB(rc.x, ${bSample});\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += (${aSwizzle[0]} * ${bSwizzle[0]});\n          result += (${aSwizzle[1]} * ${bSwizzle[1]});\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        ${addBiasSnippet}\n\n        ${applyActivationSnippet}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MultinomialProgram implements GPGPUProgram {\n  variableNames = ['probs'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(batchSize: number, numOutcomes: number, numSamples: number) {\n    this.outputShape = [batchSize, numSamples];\n\n    this.userCode = `\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < ${numOutcomes - 1}; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float(${numOutcomes - 1}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(seed: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.seedLoc == null) {\n        this.seedLoc = gpgpu.getUniformLocation(webGLProgram, 'seed');\n      }\n      gpgpu.gl.uniform1f(this.seedLoc, seed);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class OneHotProgram implements GPGPUProgram {\n  variableNames = ['indices'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(\n      numIndices: number, depth: number, onValue: number, offValue: number) {\n    this.outputShape = [numIndices, depth];\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(${offValue}), float(${onValue}),\n                      float(index == coords.y)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape:\n          number[]) {  // TODO(https://github.com/tensorflow/tfjs/issues/893):\n                       // Only input / output 3D tensors.\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    if (rank === 0) {\n      this.userCode = `\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      `;\n    } else {\n      const channels = getChannels('rc', rank);\n      const dtype = getCoordsDataType(rank);\n      const outOfBoundsCondition =\n          getOutOfBoundsCondition(rank, outputShape, channels);\n      const setup = getSetup(\n          rank, outputShape[outputShape.length - 1],\n          outputShape[outputShape.length - 2], channels);\n      const output = getOutput(outputShape, channels);\n\n      this.userCode = `\n        void main() {\n          ${dtype} rc = getOutputCoords();\n\n          if(${outOfBoundsCondition}) {\n            setOutput(vec4(0));\n          } else {\n            ${setup}\n\n            setOutput(vec4(${output}));\n          }\n        }\n      `;\n    }\n  }\n}\n\nfunction getSourceCoordsArr(rank: number, dims: string[]): string[] {\n  const coords = [];\n\n  for (let row = 0; row <= 1; row++) {\n    for (let col = 0; col <= 1; col++) {\n      let coord = `${row === 0 ? 'r' : 'rp1'}, ${col === 0 ? 'c' : 'cp1'}`;\n\n      for (let d = 2; d < rank; d++) {\n        coord = `${dims[dims.length - 1 - d]},` + coord;\n      }\n\n      coords.push(coord);\n    }\n  }\n  return coords;\n}\n\nfunction getOutOfBoundsCondition(\n    rank: number, shape: number[], dims: string[]): string {\n  if (rank === 1) {\n    return `rc > ${shape[0]}`;\n  }\n\n  let cond = '';\n  for (let i = rank - 2; i < rank; i++) {\n    cond += `${dims[i]} >= ${shape[i]}`;\n    if (i < rank - 1) {\n      cond += '||';\n    }\n  }\n\n  return cond;\n}\n\nfunction getSetup(\n    rank: number, cols: number, rows: number, dims: string[]): string {\n  if (rank === 1) {\n    return '';\n  }\n\n  const innerDims = dims.slice(-2);\n\n  return `\n    int r = ${innerDims[0]};\n    int c = ${innerDims[1]};\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= ${cols};\n    bool rEdge = rp1 >= ${rows};\n  `;\n}\n\nfunction getOutput(shape: number[], dims: string[]): string {\n  const rank = shape.length;\n  const sourceCoords = getSourceCoordsArr(rank, dims);\n  if (rank === 1) {\n    return `getA(rc),\n            rc + 1 >= ${shape[0]} ? 0. : getA(rc + 1),\n            0, 0`;\n  }\n\n  return `getA(${sourceCoords[0]}),\n          cEdge ? 0. : getA(${sourceCoords[1]}),\n          rEdge ? 0. : getA(${sourceCoords[2]}),\n          rEdge || cEdge ? 0. : getA(${sourceCoords[3]})`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const type = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const unpackedCoords =\n        ['coords[0]', 'coords[1]', 'coords[2]', 'coords[3]'].slice(0, rank);\n\n    if (rank === 1) {\n      this.userCode = `\n        int start = ${start};\n        int end = ${end};\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float(${constantValue}));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      `;\n      return;\n    }\n    this.userCode = `\n      ${type} start = ${type}(${start});\n      ${type} end = ${type}(${end});\n\n      void main() {\n        ${type} outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float(${constantValue}));\n        } else {\n          ${type} coords = outC - start;\n          setOutput(getX(${unpackedCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const dtype = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const coords = getChannels('rc', rank);\n    const source = getChannels('source', rank);\n    const cLimit = `${coords[rank - 1]} < ${this.outputShape[rank - 1]}`;\n    const innerDims =\n        rank === 1 ? 'source' : `vec2(${source.slice(-2).join()})`;\n\n    const componentSetup = [\n      `${dtype} rc = outputLoc;`, `${coords[rank - 1]} += 1;\n       if(${cLimit}) {\n      `,\n      rank === 1 ? '' : `}\n       rc = outputLoc;\n       ${coords[rank - 2]} += 1;\n       if(${coords[rank - 2]} < ${this.outputShape[rank - 2]}) {`,\n      rank === 1 ? '' : `  ${coords[rank - 1]} += 1;\n         if(${cLimit}) {`\n    ];\n\n    const paddingArea = rank === 1 ?\n        'rc < start || rc >= end' :\n        'any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))';\n    let mainLoop = '';\n    for (let i = 0, j = rank === 1 ? 2 : 4; i < j; i++) {\n      mainLoop += `\n        ${componentSetup[i]}\n        if (${paddingArea}) {\n          result[${i}] = float(${constantValue});\n        } else {\n          ${dtype} source = rc - start;\n          result[${i}] = getChannel(getX(${source.join()}), ${innerDims});\n        }\n      `;\n    }\n    mainLoop += (rank === 1 ? `} ` : `}}`);\n\n    this.userCode = `\n      const ${dtype} start = ${dtype}(${start});\n      const ${dtype} end = ${dtype}(${end});\n\n      void main() {\n        ${dtype} outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ${mainLoop}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Pool2DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, poolType: 'max'|'avg', computePositions: boolean,\n      flattenPositions = false, includeBatchInIndex = false) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n    const batchFlattenPositionStr = `((batch  * ${convInfo.inHeight} + xR) * ${\n        convInfo.inWidth} + xC) * ${convInfo.inChannels} + d`;\n    const flattenPositionStr =\n        `(xR * ${convInfo.inWidth} + xC) * ${convInfo.inChannels} + d`;\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n        const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ${compareOp} currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ${\n          flattenPositions ? (includeBatchInIndex ? batchFlattenPositionStr :\n                                                    flattenPositionStr) :\n                             `wR * ${effectiveFilterWidth} + wC`};\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              getValue(batch, xR, xC + 3 * ${dilationWidth}, d)\n            );\n\n            ${updateSnippet}\n          }\n\n          int xC = xCCorner + ${filterWidthNearestVec4};\n          if (${filterWidthVec4Remainder === 1}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 2}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 3}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              initializationValue\n            );\n\n            ${updateSnippet}\n          }\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n\nexport class Pool3DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv3DInfo, poolType: 'max'|'avg', computePositions: boolean,\n      flattenPositions = false, includeBatchInIndex = false) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec3 strides =\n            ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n        const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ${effectiveFilterDepth};\n              wD += ${dilationDepth}) {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int wR = 0; wR < ${effectiveFilterHeight};\n                wR += ${dilationHeight}) {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int wC = 0; wC < ${effectiveFilterWidth};\n                  wC += ${dilationWidth}) {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ${compareOp} currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ${\n          flattenPositions ?\n              (includeBatchInIndex ?\n                   `(((batch * ${convInfo.inDepth} + xD) * ${\n                       convInfo.inHeight} + xR) * ${convInfo.inWidth} + xC) * ${\n                       convInfo.inChannels} + ch` :\n                   `((xD * ${convInfo.inHeight} + xR) * ${\n                       convInfo.inWidth} + xC) * ${convInfo.inChannels} + ch`) :\n              `wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                      wR * ${effectiveFilterWidth} + wC`};\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec3 strides =\n        ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 3 * ${dilationWidth}, ch)\n              );\n\n              ${updateSnippet}\n            }\n\n            int xC = xCCorner + ${filterWidthNearestVec4};\n            if (${filterWidthVec4Remainder === 1}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 2}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 3}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                initializationValue\n              );\n\n              ${updateSnippet}\n            }\n          }\n          setOutput(${returnValue});\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ReduceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      reduceInfo: ReduceInfo,\n      reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod') {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    let initializationValue = '0.0';\n    let compareOp = ``;\n\n    if (reduceType === 'prod') {\n      initializationValue = '1.0';\n    } else if (reduceType === 'min') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '1.0 / 1e-20';\n      compareOp = `min`;\n    } else if (reduceType === 'max') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n      compareOp = `max`;\n    }\n\n    let returnValue = `${reduceType}(${reduceType}(${reduceType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n\n    if (reduceType === 'sum') {\n      returnValue = `sumValue`;\n    } else if (reduceType === 'prod') {\n      returnValue = `prodValue`;\n    } else if (reduceType === 'all') {\n      returnValue = `allValue`;\n    } else if (reduceType === 'any') {\n      returnValue = `anyValue`;\n    }\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    let updateSnippet = `\n      if (${reduceType === 'sum'}) {\n        sumValue += dot(values, ones);\n      } else if (${reduceType === 'prod'}) {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    let vecType = `vec4`;\n\n    if (reduceType === 'all') {\n      initializationValue = '1.0';\n      updateSnippet = `\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    } else if (reduceType === 'any') {\n      initializationValue = '0.0';\n      updateSnippet = `\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    }\n\n    let checkOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ${checkOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        vec4 minMaxValue = vec4(${initializationValue});\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class ReshapePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: [number, number, number], inputShape: [\n    number, number, number\n  ]) {\n    this.outputShape = outputShape;\n\n    let mainLoop = ``;\n    for (let i = 0; i < 4; i++) {\n      let thisRC = `thisRC = rc;`;\n      if (i % 2 === 1) {\n        thisRC += `thisRC.z += 1;`;\n      }\n      if (i > 1) {\n        thisRC += `thisRC.y += 1;`;\n      }\n\n      mainLoop += `\n        ${thisRC}\n        ${i > 0 ? `if(thisRC.y < rows && thisRC.z < cols){` : ''}\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[${i}] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ${i > 0 ? '}' : ''}\n      `;\n    }\n\n    this.userCode = `\n      ${getReshapedInputCoords(inputShape)}\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ${outputShape[1]};\n        int cols = ${outputShape[2]};\n\n        ${mainLoop}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nfunction getReshapedInputCoords(shape: [number, number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ${xHeight - 1}.0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ${xWidth - 1}.0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec3 inputShapeRC = vec3(${oldHeight}.0, ${oldWidth}.0,\n                                     ${oldWidth}.0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ${depth - 1};\n        bool hasNextRow = coords.z < ${newWidth - 1};\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeigborBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(${effectiveXSize[0]}) *\n                (float(dyR) / float(${effectiveYSize[0]}));\n\n            float sourceFracCol =\n                float(${effectiveXSize[1]}) *\n                  (float(dyC) / float(${effectiveYSize[1]}));\n\n            int sourceNearestRow = int(min(\n                float(int(${xHeight}) - 1),\n                ${alignCorners} ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(${xWidth}) - 1),\n                ${alignCorners} ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeighborProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    // When align corners is false, we rounds the value with floor.\n    const roundBase = alignCorners ? '0.5' : '0.0';\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${roundBase})));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReverseProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n\n    if (rank === 1) {\n      this.userCode = `\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(${xShape[0]} - coord - 1));\n        }\n      `;\n      return;\n    }\n    const getInCoord = (i: number) => {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - coords[${i}] - 1`;\n      }\n      return `coords[${i}]`;\n    };\n    const inCoords = xShape.map((_, i) => getInCoord(i)).join(',');\n    const type = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${type} coords = getOutputCoords();\n        setOutput(getX(${inCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReversePackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n    const channels = getChannels('rc', rank);\n    const nextColumn =\n        `${channels[rank - 1]} + 1 < ${this.outputShape[rank - 1]}`;\n    const nextRow = `${channels[rank - 2]} + 1 < ${this.outputShape[rank - 2]}`;\n    const type = getCoordsDataType(rank);\n    if (rank === 1) {\n      this.userCode = `\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(${xShape[0]} - rc - 1),\n            ${xShape[0]} - rc - 1);\n          if(${nextColumn}){\n              result.g = getChannel(getX(${xShape[0]} - (rc  + 1) - 1),\n                ${xShape[0]} - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      `;\n    } else {\n      this.userCode = `\n        void main() {\n          ${type} rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ${getR(channels.slice())};\n          if(${nextColumn}){\n            result.g = ${getG(channels.slice())};\n          }\n          if(${nextRow}) {\n            result.b = ${getB(channels.slice())};\n            if(${nextColumn}) {\n              result.a = ${getA(channels.slice())};\n            }\n          }\n          setOutput(result);\n        }\n    `;\n    }\n\n    function getR(channels: string[]): string {\n      return getChannel(channels);\n    }\n\n    function getG(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getB(channels: string[]): string {\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getA(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getChannel(channels: string[]): string {\n      const inCoordsArray = xShape.map((_, i) => getInCoord(i, channels));\n      const inCoords = inCoordsArray.join(',');\n      const innerDims = inCoordsArray.slice(-2).join(',');\n      return `getChannel(getX(${inCoords}), vec2(${innerDims}))`;\n    }\n\n    function getInCoord(i: number, channels1: string[]): string {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - ${channels1[i]} - 1`;\n      } else {\n        return `${channels1[i]}`;\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ScatterProgram implements GPGPUProgram {\n  variableNames = ['updates', 'indices', 'defaultValue'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      updateSize: number, sliceDim: number, indicesRank: number,\n      updatesRank: number, strides: number[], shape: number[],\n      summingDupeIndex = true) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    let indicesString = '';\n    if (indicesRank === 1) {\n      indicesString = 'i';\n    } else if (indicesRank === 2) {\n      indicesString = 'i, j';\n    }\n    const indicesSnippet = `getIndices(${indicesString})`;\n\n    let updatesString = '';\n    if (updatesRank === 1) {\n      updatesString = 'i';\n    } else if (updatesRank === 2) {\n      updatesString = 'i, coords[1]';\n    }\n    const updatesSnippet = `getUpdates(${updatesString})`;\n\n    const strideString = sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${strides});\n\n        void main() {\n          ${dtype} coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ${updateSize}; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < ${sliceDim}; j++) {\n              int index = round(${indicesSnippet});\n              flattenedIndex += index * ${strideString};\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += ${updatesSnippet};\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SegOpInfo} from '../../ops/segment_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class SegmentOpProgram implements GPGPUProgram {\n  variableNames = ['x', 'segmentIds'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(segOpInfo: SegOpInfo, segOpType: 'unsortedSegmentSum') {\n    const windowSize = segOpInfo.windowSize;\n    const batchSize = segOpInfo.batchSize;\n    const inSize = segOpInfo.inSize;\n    const numSegments = segOpInfo.numSegments;\n    const outSize = numSegments * Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    const initializationValue = '0.0';\n    const returnValue = `sumValue`;\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    const updateSnippet = `\n        sumValue += dot(values, segFilter);\n    `;\n\n    let checkValueOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkValueOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n\n    let checkSegmentIdOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkSegmentIdOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return -1.0;\n        }\n      `;\n    }\n\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n\n      float getValue(int batch, int inIdx) {\n        ${checkValueOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ${checkSegmentIdOutOfBounds}\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ${numSegments})) * float(${windowSize}));\n        int currentSeg = int(mod(float(outIdx), float(${numSegments})));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SelectProgram implements GPGPUProgram {\n  variableNames = ['c', 'a', 'b'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(cRank: number, shape: number[], rank: number) {\n    this.outputShape = shape;\n\n    let cCoords;\n    let abCoords;\n    if (rank > 4) {\n      throw Error(`Where for rank ${rank} is not yet supported`);\n    }\n\n    if (rank === 1) {\n      abCoords = `resRC`;\n      cCoords = `resRC`;\n    } else {\n      const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n      const cCoordVars = [];\n      const abCoordVars = [];\n      for (let i = 0; i < shape.length; i++) {\n        abCoordVars.push(`${currentCoords[i]}`);\n        if (i < cRank) {\n          cCoordVars.push(`${currentCoords[i]}`);\n        }\n      }\n      cCoords = cCoordVars.join();\n      abCoords = abCoordVars.join();\n    }\n\n    const dtype = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        float cVal = getC(${cCoords});\n        if (cVal >= 1.0) {\n          setOutput(getA(${abCoords}));\n        } else {\n          setOutput(getB(${abCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SliceProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const uniformPart = `uniform int start[${this.rank}];`;\n    const sourceCoords = getCoords(this.rank);\n\n    let body: string;\n    const coordSum = destSize.map((_, i) => {\n      return `sourceLoc.${coords[i]} = start[${i}] + coords.${coords[i]};`;\n    });\n    body = `\n        ${dtype} sourceLoc;\n        ${dtype} coords = getOutputCoords();\n        ${coordSum.join('\\n')}\n      `;\n    this.userCode = `\n      ${uniformPart}\n      void main() {\n        ${body}\n        setOutput(getSource(${sourceCoords}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n\nconst coords = ['x', 'y', 'z', 'w', 'u', 'v'];\n\nfunction getCoords(rank: number): string {\n  if (rank === 1) {\n    return 'sourceLoc';\n  } else if (rank <= 6) {\n    return coords.slice(0, rank).map(x => 'sourceLoc.' + x).join(',');\n  } else {\n    throw Error(`Slicing for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SlicePackedProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const coords = getChannels('coords', this.rank);\n    const sourceLoc = getChannels('sourceLoc', this.rank);\n\n    const innerDims =\n        this.rank === 1 ? 'sourceLoc' : `vec2(${sourceLoc.slice(-2).join()})`;\n    const getChannel =\n        `getChannel(getSource(${sourceLoc.join()}), ${innerDims})`;\n    const upperRow = `\n      result.x = ${getChannel};\n      if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n        ++${sourceLoc[this.rank - 1]};\n        result.y = ${getChannel};\n        --${sourceLoc[this.rank - 1]};\n      }\n    `;\n    const lowerRow = this.rank === 1 ? '' : `\n      --${coords[this.rank - 1]};\n      if (++${coords[this.rank - 2]} < ${destSize[this.rank - 2]}) {\n        ++${sourceLoc[this.rank - 2]};\n        result.z = ${getChannel};\n        if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n          ++${sourceLoc[this.rank - 1]};\n          result.w = ${getChannel};\n        }\n      }\n    `;\n\n    const sourceLocSetup = this.rank <= 4 ?\n        `sourceLoc = coords +\n            ${dtype}(${destSize.map((_, i) => `start[${i}]`).join()});` :\n        destSize.map((_, i) => `${sourceLoc[i]} = ${coords[i]} + start[${i}];`)\n            .join('\\n');\n    this.userCode = `\n      uniform int start[${this.rank}];\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        ${dtype} sourceLoc;\n        ${sourceLocSetup}\n        vec4 result = vec4(0.);\n        ${upperRow}\n        ${lowerRow}\n        setOutput(result);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class StridedSliceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      begin: number[], strides: number[], size: number[]) {\n    this.outputShape = size;\n    const rank = size.length;\n    const inputDtype = getCoordsDataType(size.length);\n    const dtype = getCoordsDataType(size.length);\n\n    let newCoords = '';\n    if (rank === 1) {\n      newCoords = 'coords * strides + begin';\n    } else {\n      let outputAxis = 0;\n      newCoords =\n          size.map((_, i) => {\n                outputAxis++;\n                return size.length === 1 ?\n                    `coords * strides[${i}] + begin[${i}]` :\n                    `coords[${outputAxis - 1}] * strides[${i}] + begin[${i}]`;\n              })\n              .join(',');\n    }\n\n    this.userCode = `\n      ${inputDtype} begin = ${inputDtype}(${begin});\n      ${inputDtype} strides = ${inputDtype}(${strides});\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        setOutput(getX(${newCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {PhysicalTextureType, TextureUsage} from './tex_util';\n\nexport class TextureManager {\n  private numUsedTextures = 0;\n  private numFreeTextures = 0;\n  private freeTextures: {[shape: string]: WebGLTexture[]} = {};\n  private logEnabled = false;\n  private usedTextures: {[shape: string]: WebGLTexture[]} = {};\n\n  constructor(private gpgpu: GPGPUContext) {}\n\n  acquireTexture(\n      shapeRC: [number, number], usage: TextureUsage,\n      isPacked: boolean): WebGLTexture {\n    const physicalTexType = getPhysicalFromLogicalTextureType(usage, isPacked);\n\n    const shapeKey = getKeyFromTextureShape(shapeRC, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    if (!(shapeKey in this.usedTextures)) {\n      this.usedTextures[shapeKey] = [];\n    }\n\n    if (this.freeTextures[shapeKey].length > 0) {\n      this.numFreeTextures--;\n      this.numUsedTextures++;\n      this.log();\n      const newTexture = this.freeTextures[shapeKey].shift();\n      this.usedTextures[shapeKey].push(newTexture);\n      return newTexture;\n    }\n    this.numUsedTextures++;\n    this.log();\n\n    let newTexture: WebGLTexture;\n    if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT32) {\n      newTexture = this.gpgpu.createPackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16PackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT32) {\n      newTexture =\n          this.gpgpu.createFloat32MatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16MatrixTexture(shapeRC[0], shapeRC[1]);\n\n    } else if (\n        physicalTexType === PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE) {\n      newTexture =\n          this.gpgpu.createUnsignedBytesMatrixTexture(shapeRC[0], shapeRC[1]);\n    }\n    this.usedTextures[shapeKey].push(newTexture);\n\n    return newTexture;\n  }\n\n  releaseTexture(\n      texture: WebGLTexture, shape: [number, number],\n      logicalTexType: TextureUsage, isPacked: boolean): void {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    const physicalTexType =\n        getPhysicalFromLogicalTextureType(logicalTexType, isPacked);\n    const shapeKey = getKeyFromTextureShape(shape, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    this.freeTextures[shapeKey].push(texture);\n    this.numFreeTextures++;\n    this.numUsedTextures--;\n    const texList = this.usedTextures[shapeKey];\n    const texIndex = texList.indexOf(texture);\n    if (texIndex < 0) {\n      throw new Error(\n          'Cannot release a texture that was never provided by this ' +\n          'texture manager');\n    }\n    texList.splice(texIndex, 1);\n    this.log();\n  }\n\n  private log() {\n    if (!this.logEnabled) {\n      return;\n    }\n    const total = this.numFreeTextures + this.numUsedTextures;\n    console.log(\n        'Free/Used', `${this.numFreeTextures} / ${this.numUsedTextures}`,\n        `(${total})`);\n  }\n\n  getNumUsedTextures(): number {\n    return this.numUsedTextures;\n  }\n\n  getNumFreeTextures(): number {\n    return this.numFreeTextures;\n  }\n\n  dispose() {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    for (const texShape in this.freeTextures) {\n      this.freeTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    for (const texShape in this.usedTextures) {\n      this.usedTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    this.freeTextures = null;\n    this.usedTextures = null;\n    this.numUsedTextures = 0;\n    this.numFreeTextures = 0;\n  }\n}\n\nfunction getPhysicalTextureForRendering(isPacked: boolean):\n    PhysicalTextureType {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED')) {\n    if (isPacked) {\n      return PhysicalTextureType.PACKED_2X2_FLOAT32;\n    }\n    return PhysicalTextureType.UNPACKED_FLOAT32;\n  }\n\n  if (isPacked) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT16;\n  }\n  return PhysicalTextureType.UNPACKED_FLOAT16;\n}\n\nfunction getPhysicalFromLogicalTextureType(\n    logicalTexType: TextureUsage, isPacked: boolean): PhysicalTextureType {\n  if (logicalTexType === TextureUsage.UPLOAD) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT32;\n  } else if (logicalTexType === TextureUsage.RENDER || logicalTexType == null) {\n    return getPhysicalTextureForRendering(isPacked);\n  } else if (\n      logicalTexType === TextureUsage.DOWNLOAD ||\n      logicalTexType === TextureUsage.PIXELS) {\n    return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;\n  }\n  throw new Error(`Unknown logical texture type ${logicalTexType}`);\n}\n\nfunction getKeyFromTextureShape(\n    shapeRowsCol: [number, number], physicalTexType: PhysicalTextureType,\n    isPacked: boolean): string {\n  return `${shapeRowsCol[0]}_${shapeRowsCol[1]}_${physicalTexType}_${isPacked}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TileProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], reps: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[i] * reps[i];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[]): string {\n  const rank = aShape.length;\n  if (rank > 5) {\n    throw Error(`Tile for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `imod(resRC, ${aShape[0]})`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    sourceCoords.push(`imod(${currentCoords[i]}, ${aShape[i]})`);\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const ERF_P = 0.3275911;\nexport const ERF_A1 = 0.254829592;\nexport const ERF_A2 = -0.284496736;\nexport const ERF_A3 = 1.421413741;\nexport const ERF_A4 = -1.453152027;\nexport const ERF_A5 = 1.061405429;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const SELU_SCALEALPHA = 1.7580993408473768599402175208123;\nexport const SELU_SCALE = 1.0507009873554804934193349852946;\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as erf_util from '../../ops/erf_util';\nimport * as selu_util from '../../ops/selu_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class UnaryOpProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      float unaryOperation(float x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n\nconst CHECK_NAN_SNIPPET = `if (isnan(x)) return x;`;\n\nexport const LINEAR = `return x;`;\n\nexport const ABS = `return abs(x);`;\n\nexport const RELU = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : x;\n`;\n\nexport const RELU6 = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n`;\n\nexport const ELU = `return (x >= 0.0) ? x : (exp(x) - 1.0);`;\n\nexport const SELU = `\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = ${selu_util.SELU_SCALEALPHA};\n  float scale = ${selu_util.SELU_SCALE};\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`;\n\nexport function STEP(alpha = 0.0) {\n  return CHECK_NAN_SNIPPET + `\n    return x > 0.0 ? 1.0 : float(${alpha});\n  `;\n}\n\nexport const NEG = `return -x;`;\n\nexport const CEIL = `return ceil(x);`;\n\nexport const FLOOR = `return floor(x);`;\n\nexport const SIGN = `\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n`;\n\nexport const IS_NAN = `return float(isnan(x));`;\n\nexport const IS_INF = `return float(isinf(x));`;\n\nexport const IS_FINITE = `return float(!isnan(x) && !isinf(x));`;\n\nexport const ROUND = `\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n`;\n\nexport const EXP = `return exp(x);`;\n\nexport const EXPM1 = `return exp(x) - 1.0;`;\n\nexport const LOG = `if (x < 0.0) return NAN;\n  return log(x);`;\n\nexport const LOG1P = `return log(1.0 + x);`;\n\nexport const SQRT = `return sqrt(x);`;\n\nexport const RSQRT = `return inversesqrt(x);`;\n\nexport const SIGMOID = `return 1.0 / (1.0 + exp(-1.0 * x));`;\n\n/**\n * mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n *\n * epsilon is the difference between 1.0 and the next representable\n * float. For a single precision 32 bit float this should be 2^-23, see:\n * https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n *\n * too_large = (x > -threshold) is value above which exp(x) may overflow\n * but softplus(x) == x is within machine epsilon\n *\n * too_small = (x < threshold) is value below which exp(x) may underflow,\n * but softplus(x) == exp(x) is within machine epsilon.\n */\nexport const SOFTPLUS = `\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n`;\n\nexport const SIN = CHECK_NAN_SNIPPET + `\n  return sin(x);\n`;\n\nexport const COS = CHECK_NAN_SNIPPET + `\n  return cos(x);\n`;\n\nexport const TAN = `return tan(x);`;\n\nexport const ASIN = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n`;\n\nexport const ACOS = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n`;\n\nexport const ATAN = CHECK_NAN_SNIPPET + `\n  return atan(x);\n`;\n\nexport const SINH = `\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n`;\n\nexport const COSH = `\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n`;\n\nexport const TANH = `\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`;\n\nexport const ASINH = CHECK_NAN_SNIPPET + `return log(x + sqrt(x * x + 1.0));`;\n\nexport const ACOSH = CHECK_NAN_SNIPPET + `\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));`;\n\nexport const ATANH = CHECK_NAN_SNIPPET + `\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;`;\n\nexport const ERF = `\n  // Error function is calculated approximately with elementary function.\n  // See \"Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n  float p = ${erf_util.ERF_P};\n  float a1 = ${erf_util.ERF_A1};\n  float a2 = ${erf_util.ERF_A2};\n  float a3 = ${erf_util.ERF_A3};\n  float a4 = ${erf_util.ERF_A4};\n  float a5 = ${erf_util.ERF_A5};\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`;\n\nexport const SQUARE = `return x * x;`;\n\nexport const RECIPROCAL = `return 1.0 / x;`;\n\nexport const LOGICAL_NOT = `return float(!(x >= 1.0));`;\n\nexport const TO_INT = `return float(int(x));`;\n\nexport const CLONE = 'return x;';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const LINEAR = `return x;`;\n\nexport const LOG = `\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n`;\n\nexport const RELU = `\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const RELU6 = `\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const ELU = `\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n`;\n\nexport class UnaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      vec4 unaryOperation(vec4 x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels, getSourceCoords} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class UnpackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = false;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: number[]) {\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    const channels = getChannels('rc', rank);\n    const dtype = getCoordsDataType(rank);\n    const sourceCoords = getSourceCoords(rank, channels);\n    const innerDims = channels.slice(-2);\n    const coords = rank <= 1 ? 'rc' : `vec2(${innerDims.join(',')})`;\n\n    this.userCode = `\n      void main() {\n        ${dtype} rc = getOutputCoords();\n        vec4 packedInput = getA(${sourceCoords});\n\n        setOutput(getChannel(packedInput, ${coords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// Import webgl flags.\nimport './flags_webgl';\n\nimport * as device_util from '../../device_util';\nimport {ENGINE, MemoryInfo, TimingInfo} from '../../engine';\nimport {env} from '../../environment';\nimport {tidy} from '../../globals';\nimport {TensorInfo} from '../../kernel_registry';\nimport {warn} from '../../log';\nimport {buffer} from '../../ops/array_ops';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport {computeOutShape} from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {div} from '../../ops/div';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as reduce_util from '../../ops/reduce_util';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as segment_util from '../../ops/segment_util';\nimport * as slice_util from '../../ops/slice_util';\nimport {softmax} from '../../ops/softmax';\nimport {range, scalar, tensor} from '../../ops/tensor_ops';\nimport {transpose} from '../../ops/transpose';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../../tensor';\nimport {BackendValues, DataType, DataTypeMap, NumericDataType, Rank, RecursiveArray, ShapeMap, sumOutType, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, getTypedArrayFromDType, inferDtype, sizeFromShape} from '../../util';\nimport {DataStorage, EPSILON_FLOAT16, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport {mergeRealAndImagArrays} from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {AddNProgram} from './addn_gpu';\nimport {AddNPackedProgram} from './addn_packed_gpu';\nimport {ArgMinMaxProgram} from './argminmax_gpu';\nimport {ArgMinMaxPackedProgram} from './argminmax_packed_gpu';\nimport {AvgPool2DBackpropProgram, AvgPool3DBackpropProgram} from './avg_pool_backprop_gpu';\nimport {BatchNormProgram} from './batchnorm_gpu';\nimport {BatchNormPackedProgram} from './batchnorm_packed_gpu';\nimport * as binaryop_complex_gpu from './binaryop_complex_gpu';\nimport {BinaryOpComplexProgram} from './binaryop_complex_gpu';\nimport * as binaryop_gpu from './binaryop_gpu';\nimport {BinaryOpProgram} from './binaryop_gpu';\nimport * as binaryop_packed_gpu from './binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from './binaryop_packed_gpu';\nimport {getWebGLContext} from './canvas_util';\nimport {ClipProgram} from './clip_gpu';\nimport {ClipPackedProgram} from './clip_packed_gpu';\nimport {ComplexAbsProgram} from './complex_abs_gpu';\nimport {ConcatProgram} from './concat_gpu';\nimport {ConcatPackedProgram} from './concat_packed_gpu';\nimport {Conv2DDerFilterProgram, Conv2DDerInputProgram, Conv3DDerFilterProgram, Conv3DDerInputProgram} from './conv_backprop_gpu';\nimport {DepthwiseConv2DDerFilterProgram, DepthwiseConv2DDerInputProgram} from './conv_backprop_gpu_depthwise';\nimport {Conv2DProgram, Conv3DProgram} from './conv_gpu';\nimport {DepthwiseConv2DProgram} from './conv_gpu_depthwise';\nimport {DepthwiseConvPacked2DProgram} from './conv_packed_gpu_depthwise';\nimport {CropAndResizeProgram} from './crop_and_resize_gpu';\nimport {CumSumProgram} from './cumsum_gpu';\nimport {DecodeMatrixProgram} from './decode_matrix_gpu';\nimport {DecodeMatrixPackedProgram} from './decode_matrix_packed_gpu';\nimport {DepthToSpaceProgram} from './depth_to_space_gpu';\nimport {DiagProgram} from './diag_gpu';\nimport {EncodeFloatProgram} from './encode_float_gpu';\nimport {EncodeFloatPackedProgram} from './encode_float_packed_gpu';\nimport {EncodeMatrixProgram} from './encode_matrix_gpu';\nimport {EncodeMatrixPackedProgram} from './encode_matrix_packed_gpu';\nimport * as fft_gpu from './fft_gpu';\nimport {FFTProgram} from './fft_gpu';\nimport {FillProgram} from './fill_gpu';\nimport {GatherProgram} from './gather_gpu';\nimport {GatherNDProgram} from './gather_nd_gpu';\nimport {GPGPUContext} from './gpgpu_context';\nimport * as gpgpu_math from './gpgpu_math';\nimport {GPGPUBinary, GPGPUProgram, TensorData} from './gpgpu_math';\nimport {Im2ColPackedProgram} from './im2col_packed_gpu';\nimport {LRNProgram} from './lrn_gpu';\nimport {LRNGradProgram} from './lrn_grad_gpu';\nimport {LRNPackedProgram} from './lrn_packed_gpu';\nimport {MaxPool2DBackpropProgram, MaxPool3DBackpropProgram} from './max_pool_backprop_gpu';\nimport {MatMulPackedProgram} from './mulmat_packed_gpu';\nimport {MultinomialProgram} from './multinomial_gpu';\nimport {OneHotProgram} from './onehot_gpu';\nimport {PackProgram} from './pack_gpu';\nimport {PadProgram} from './pad_gpu';\nimport {PadPackedProgram} from './pad_packed_gpu';\nimport {Pool2DProgram, Pool3DProgram} from './pool_gpu';\nimport {ReduceProgram} from './reduce_gpu';\nimport {ReshapePackedProgram} from './reshape_packed_gpu';\nimport {ResizeBilinearBackpropProgram} from './resize_bilinear_backprop_gpu';\nimport {ResizeBilinearProgram} from './resize_bilinear_gpu';\nimport {ResizeBilinearPackedProgram} from './resize_bilinear_packed_gpu';\nimport {ResizeNearestNeigborBackpropProgram} from './resize_nearest_neighbor_backprop_gpu';\nimport {ResizeNearestNeighborProgram} from './resize_nearest_neighbor_gpu';\nimport {ReverseProgram} from './reverse_gpu';\nimport {ReversePackedProgram} from './reverse_packed_gpu';\nimport {ScatterProgram} from './scatter_gpu';\nimport {SegmentOpProgram} from './segment_gpu';\nimport {SelectProgram} from './select_gpu';\nimport {SliceProgram} from './slice_gpu';\nimport {SlicePackedProgram} from './slice_packed_gpu';\nimport {StridedSliceProgram} from './strided_slice_gpu';\nimport * as tex_util from './tex_util';\nimport {TextureData, TextureUsage} from './tex_util';\nimport {TextureManager} from './texture_manager';\nimport {TileProgram} from './tile_gpu';\nimport * as unary_op from './unaryop_gpu';\nimport {UnaryOpProgram} from './unaryop_gpu';\nimport * as unary_packed_op from './unaryop_packed_gpu';\nimport {UnaryOpPackedProgram} from './unaryop_packed_gpu';\nimport {UnpackProgram} from './unpack_gpu';\nimport * as webgl_util from './webgl_util';\n\ntype KernelInfo = {\n  name: string; query: Promise<number>;\n};\n\nexport type TimerNode = RecursiveArray<KernelInfo>|KernelInfo;\nexport interface CPUTimerQuery {\n  startMs: number;\n  endMs?: number;\n}\n\nexport interface WebGLMemoryInfo extends MemoryInfo {\n  numBytesInGPU: number;\n  unreliable: boolean;\n}\n\nexport interface WebGLTimingInfo extends TimingInfo {\n  uploadWaitMs: number;\n  downloadWaitMs: number;\n}\n\nconst binaryCaches: {[webGLVersion: string]: {[key: string]: GPGPUBinary}} = {};\n\nexport function getBinaryCache(webGLVersion: number) {\n  if (webGLVersion in binaryCaches) {\n    return binaryCaches[webGLVersion];\n  }\n  binaryCaches[webGLVersion] = {};\n  return binaryCaches[webGLVersion];\n}\n\nfunction mapActivationToShaderProgram(\n    activation: Activation, packed = false): string {\n  if (activation === 'linear') {\n    if (packed) {\n      return unary_packed_op.LINEAR;\n    }\n    return unary_op.LINEAR;\n  } else if (activation === 'relu') {\n    if (packed) {\n      return unary_packed_op.RELU;\n    }\n    return unary_op.RELU;\n  } else if (activation === 'elu') {\n    if (packed) {\n      return unary_packed_op.ELU;\n    }\n    return unary_op.ELU;\n  } else if (activation === 'relu6') {\n    if (packed) {\n      return unary_packed_op.RELU6;\n    }\n    return unary_op.RELU6;\n  } else if (activation === 'prelu') {\n    if (packed) {\n      return binaryop_packed_gpu.PRELU;\n    }\n    return binaryop_gpu.PRELU;\n  }\n  throw new Error(`Activation ${\n      activation} has not been implemented for the WebGL backend.`);\n}\n\n// Empirically determined constant used to determine size threshold for handing\n// off execution to the CPU.\nconst CPU_HANDOFF_SIZE_THRESHOLD = 128;\n\n// Empirically determined constant used to decide the number of MB on GPU\n// before we warn about high memory use. The MB are this constant * screen area\n// * dpi / 1024 / 1024.\nconst BEFORE_PAGING_CONSTANT = 600;\nfunction numMBBeforeWarning(): number {\n  if (env().global.screen == null) {\n    return 1024;  // 1 GB.\n  }\n  return (env().global.screen.height * env().global.screen.width *\n          window.devicePixelRatio) *\n      BEFORE_PAGING_CONSTANT / 1024 / 1024;\n}\n\n// Empirically determined minimal shared dimension in matmul before we forward\n// to a.mul(b).sum() in order to take advantage of GPU parallelism. See\n// https://github.com/tensorflow/tfjs-core/pull/1379 for benchmarks.\nexport const MATMUL_SHARED_DIM_THRESHOLD = 1000;\n\nexport class MathBackendWebGL extends KernelBackend {\n  texData: DataStorage<TextureData>;\n  gpgpu: GPGPUContext;\n\n  // Maps data ids that have a pending read operation, to list of subscribers.\n  private pendingRead = new WeakMap<DataId, Array<(arr: TypedArray) => void>>();\n  // List of data ids that are scheduled for disposal, but are waiting on a\n  // pending read operation.\n  private pendingDisposal = new WeakSet<DataId>();\n  // Used to count the number of 'shallow' sliced tensors that point to the\n  // same data id.\n  private dataRefCount = new WeakMap<DataId, number>();\n  private numBytesInGPU = 0;\n\n  private canvas: HTMLCanvasElement|OffscreenCanvas;\n\n  private programTimersStack: TimerNode[];\n  private activeTimers: TimerNode[];\n  // Accumulated time spent (including blocking) in uploading data to webgl.\n  private uploadWaitMs = 0;\n  // Accumulated time spent (including blocking in downloading data from webgl.\n  private downloadWaitMs = 0;\n  private cpuBackend: KernelBackend;\n\n  // Number of bits of precision of this backend.\n  private floatPrecisionValue: 32|16;\n\n  private textureManager: TextureManager;\n  private binaryCache: {[key: string]: GPGPUBinary};\n  private gpgpuCreatedLocally: boolean;\n  private numMBBeforeWarning: number;\n  private warnedAboutMemory = false;\n\n  constructor(gpgpu?: GPGPUContext) {\n    super();\n    if (!env().getBool('HAS_WEBGL')) {\n      throw new Error('WebGL is not supported on this device');\n    }\n\n    if (gpgpu == null) {\n      const gl = getWebGLContext(env().getNumber('WEBGL_VERSION'));\n      this.binaryCache = getBinaryCache(env().getNumber('WEBGL_VERSION'));\n      this.gpgpu = new GPGPUContext(gl);\n      this.canvas = gl.canvas;\n      this.gpgpuCreatedLocally = true;\n    } else {\n      this.gpgpu = gpgpu;\n      this.binaryCache = {};\n      this.gpgpuCreatedLocally = false;\n      this.canvas = gpgpu.gl.canvas;\n    }\n    this.textureManager = new TextureManager(this.gpgpu);\n    this.numMBBeforeWarning = numMBBeforeWarning();\n\n    this.texData = new DataStorage(this, ENGINE);\n  }\n\n  numDataIds() {\n    return this.texData.numDataIds() +\n        (this.cpuBackend ? this.cpuBackend.numDataIds() : 0) -\n        this.pendingDeletes;\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64' && values != null) {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    const dataId = {};\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    const texData = this.texData.get(dataId);\n    const {values, dtype, complexTensors, slice, shape, isPacked} = texData;\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.readSync(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n    if (dtype === 'string') {\n      return values;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let result: Float32Array;\n    if (dtype === 'complex64') {\n      const realValues = complexTensors.real.dataSync() as Float32Array;\n      const imagValues = complexTensors.imag.dataSync() as Float32Array;\n      result = mergeRealAndImagArrays(realValues, imagValues);\n    } else {\n      result = this.getValuesFromTexture(dataId);\n    }\n\n    if (shouldTimeProgram) {\n      this.downloadWaitMs += util.now() - start;\n    }\n    return this.convertAndCacheOnCPU(dataId, result);\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    if (this.pendingRead.has(dataId)) {\n      const subscribers = this.pendingRead.get(dataId);\n      return new Promise<TypedArray>(resolve => subscribers.push(resolve));\n    }\n    const texData = this.texData.get(dataId);\n    const {values, shape, slice, dtype, complexTensors, isPacked} = texData;\n\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.read(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n\n    if (!env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED') &&\n        env().getNumber('WEBGL_VERSION') === 2) {\n      throw new Error(\n          `tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and ` +\n          `WEBGL_VERSION=2 not yet supported.`);\n    }\n\n    let buffer = null;\n    let tmpDownloadTarget: TensorInfo;\n\n    if (dtype !== 'complex64' && env().get('WEBGL_BUFFER_SUPPORTED')) {\n      // Possibly copy the texture into a buffer before inserting a fence.\n      tmpDownloadTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpDownloadTarget.dataId);\n\n      buffer = this.gpgpu.createBufferFromTexture(\n          tmpData.texture, ...tex_util.getDenseTexShape(shape));\n    }\n\n    this.pendingRead.set(dataId, []);\n\n    if (dtype !== 'complex64') {\n      // Create a fence and wait for it to resolve.\n      await this.gpgpu.createAndWaitForFence();\n    }\n\n    // Download the values from the GPU.\n    let vals: Float32Array;\n    if (dtype === 'complex64') {\n      const ps = await Promise.all(\n          [complexTensors.real.data(), complexTensors.imag.data()]);\n      const realValues = ps[0];\n      const imagValues = ps[1];\n      vals = mergeRealAndImagArrays(\n          realValues as Float32Array, imagValues as Float32Array);\n    } else if (buffer == null) {\n      vals = this.getValuesFromTexture(dataId);\n    } else {\n      const size = util.sizeFromShape(shape);\n      vals = this.gpgpu.downloadFloat32MatrixFromBuffer(buffer, size);\n    }\n    if (tmpDownloadTarget != null) {\n      this.disposeData(tmpDownloadTarget.dataId);\n    }\n    const dTypeVals = this.convertAndCacheOnCPU(dataId, vals);\n\n    const subscribers = this.pendingRead.get(dataId);\n    this.pendingRead.delete(dataId);\n\n    // Notify all pending reads.\n    subscribers.forEach(resolve => resolve(dTypeVals));\n    if (this.pendingDisposal.has(dataId)) {\n      this.pendingDisposal.delete(dataId);\n      this.disposeData(dataId);\n      this.pendingDeletes--;\n    }\n    return dTypeVals;\n  }\n\n  private checkNumericalProblems(values: BackendValues): void {\n    if (values == null) {\n      return;\n    }\n    for (let i = 0; i < values.length; i++) {\n      const num = values[i] as number;\n      if (!webgl_util.canBeRepresented(num)) {\n        if (env().getBool('WEBGL_RENDER_FLOAT32_CAPABLE')) {\n          throw Error(\n              `The value ${num} cannot be represented with your ` +\n              `current settings. Consider enabling float32 rendering: ` +\n              `'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'`);\n        }\n        throw Error(`The value ${num} cannot be represented on this device.`);\n      }\n    }\n  }\n\n  private getValuesFromTexture(dataId: DataId): Float32Array {\n    const {shape, dtype, isPacked} = this.texData.get(dataId);\n    const size = util.sizeFromShape(shape);\n    if (env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED')) {\n      const tmpTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpTarget.dataId);\n      const vals = this.gpgpu\n                       .downloadMatrixFromPackedTexture(\n                           tmpData.texture, ...tex_util.getDenseTexShape(shape))\n                       .subarray(0, size);\n\n      this.disposeData(tmpTarget.dataId);\n\n      return vals;\n    }\n\n    const shouldUsePackedProgram =\n        env().getBool('WEBGL_PACK') && isPacked === true;\n    const outputShape =\n        shouldUsePackedProgram ? webgl_util.getShapeAs3D(shape) : shape;\n    const program = shouldUsePackedProgram ?\n        new EncodeFloatPackedProgram(outputShape as [number, number, number]) :\n        new EncodeFloatProgram(outputShape);\n    const output = this.runWebGLProgram(\n        program, [{shape: outputShape, dtype, dataId}], 'float32');\n    const tmpData = this.texData.get(output.dataId);\n    const vals =\n        this.gpgpu\n            .downloadByteEncodedFloatMatrixFromOutputTexture(\n                tmpData.texture, tmpData.texShape[0], tmpData.texShape[1])\n            .subarray(0, size);\n    this.disposeData(output.dataId);\n\n    return vals;\n  }\n\n  async time(f: () => void): Promise<WebGLTimingInfo> {\n    const oldActiveTimers = this.activeTimers;\n    const newActiveTimers: TimerNode[] = [];\n\n    let outerMostTime = false;\n    if (this.programTimersStack == null) {\n      this.programTimersStack = newActiveTimers;\n      outerMostTime = true;\n    } else {\n      this.activeTimers.push(newActiveTimers);\n    }\n    this.activeTimers = newActiveTimers;\n\n    f();\n\n    // needing to split these up because util.flatten only accepts certain types\n    const flattenedActiveTimerQueries =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.query))\n            .filter(d => d != null);\n    const flattenedActiveTimerNames =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.name))\n            .filter(d => d != null);\n\n    this.activeTimers = oldActiveTimers;\n\n    if (outerMostTime) {\n      this.programTimersStack = null;\n    }\n\n    const res: WebGLTimingInfo = {\n      uploadWaitMs: this.uploadWaitMs,\n      downloadWaitMs: this.downloadWaitMs,\n      kernelMs: null,\n      wallMs: null  // will be filled by the engine\n    };\n\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      const kernelMs = await Promise.all(flattenedActiveTimerQueries);\n\n      res['kernelMs'] = util.sum(kernelMs);\n      res['getExtraProfileInfo'] = () =>\n          kernelMs.map((d, i) => ({name: flattenedActiveTimerNames[i], ms: d}))\n              .map(d => `${d.name}: ${d.ms}`)\n              .join(', ');\n    } else {\n      res['kernelMs'] = {\n        error: 'WebGL query timers are not supported in this environment.'\n      };\n    }\n\n    this.uploadWaitMs = 0;\n    this.downloadWaitMs = 0;\n    return res;\n  }\n  memory(): WebGLMemoryInfo {\n    return {unreliable: false, numBytesInGPU: this.numBytesInGPU} as\n        WebGLMemoryInfo;\n  }\n\n  private startTimer(): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      return this.gpgpu.beginQuery();\n    }\n    return {startMs: util.now(), endMs: null};\n  }\n\n  private endTimer(query: WebGLQuery|CPUTimerQuery): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      this.gpgpu.endQuery();\n      return query;\n    }\n    (query as CPUTimerQuery).endMs = util.now();\n    return query;\n  }\n\n  private async getQueryTime(query: WebGLQuery|CPUTimerQuery): Promise<number> {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      return this.gpgpu.waitForQueryAndGetTime(query as WebGLQuery);\n    }\n    const timerQuery = query as CPUTimerQuery;\n    return timerQuery.endMs - timerQuery.startMs;\n  }\n\n  private pendingDeletes = 0;\n\n  disposeData(dataId: DataId): void {\n    if (this.pendingDisposal.has(dataId)) {\n      return;\n    }\n    if (this.pendingRead.has(dataId)) {\n      this.pendingDisposal.add(dataId);\n      this.pendingDeletes++;\n      return;\n    }\n    // No-op if already disposed.\n    if (!this.texData.has(dataId)) {\n      return;\n    }\n\n    this.releaseGPUData(dataId);\n    const {complexTensors} = this.texData.get(dataId);\n    if (complexTensors != null) {\n      complexTensors.real.dispose();\n      complexTensors.imag.dispose();\n    }\n    this.texData.delete(dataId);\n  }\n\n  private releaseGPUData(dataId: DataId): void {\n    const {texture, dtype, texShape, usage, isPacked, slice} =\n        this.texData.get(dataId);\n    const key = slice && slice.origDataId || dataId;\n    const refCount = this.dataRefCount.get(key);\n    if (refCount > 1) {\n      this.dataRefCount.set(key, refCount - 1);\n    } else {\n      this.dataRefCount.delete(key);\n      if (texture != null) {\n        this.numBytesInGPU -= this.computeBytes(texShape, dtype);\n        this.textureManager.releaseTexture(texture, texShape, usage, isPacked);\n      }\n    }\n    const texData = this.texData.get(dataId);\n    texData.texture = null;\n    texData.texShape = null;\n    texData.isPacked = false;\n    texData.slice = null;\n  }\n\n  getTexture(dataId: DataId): WebGLTexture {\n    this.uploadToGPU(dataId);\n    return this.texData.get(dataId).texture;\n  }\n\n  /**\n   * Returns internal information for the specific data bucket. Used in unit\n   * tests.\n   */\n  getDataInfo(dataId: DataId): TextureData {\n    return this.texData.get(dataId);\n  }\n\n  private getCPUBackend(): KernelBackend|null {\n    if (!env().getBool('WEBGL_CPU_FORWARD')) {\n      return null;\n    }\n\n    if (this.cpuBackend == null) {\n      this.cpuBackend = ENGINE.findBackend('cpu');\n    }\n\n    return this.cpuBackend;\n  }\n\n  /*\n  Tests whether all the inputs to an op are small and on the CPU. This heuristic\n  determines when it would be faster to execute a kernel on the CPU. WebGL\n  kernels opt into running this check and forwarding when appropriate.\n  TODO(https://github.com/tensorflow/tfjs/issues/872): Develop a more\n  sustainable strategy for optimizing backend execution of ops.\n   */\n  shouldExecuteOnCPU(\n      inputs: TensorInfo[],\n      sizeThreshold = CPU_HANDOFF_SIZE_THRESHOLD): boolean {\n    return this.getCPUBackend() != null &&\n        inputs.every(\n            input => this.texData.get(input.dataId).texture == null &&\n                util.sizeFromShape(input.shape) < sizeThreshold);\n  }\n\n  getGPGPUContext(): GPGPUContext {\n    return this.gpgpu;\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(real.shape, 'complex64');\n    const resultData = this.texData.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.slice(x, begin, size);\n    }\n    // Short-circuit computation if the slice is zero-sized.\n    if (util.sizeFromShape(size) === 0) {\n      return tensor([], size, x.dtype) as T;\n    }\n    const {isPacked} = this.texData.get(x.dataId);\n    const isContinous = slice_util.isSliceContinous(x.shape, begin, size);\n    if (isPacked || !isContinous) {\n      const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n          new SlicePackedProgram(size) :\n          new SliceProgram(size);\n      const customSetup = program.getCustomSetupFunc(begin);\n      return this.compileAndRun(program, [x], null, customSetup);\n    }\n    this.uploadToGPU(x.dataId);\n    return this.shallowSlice(x, begin, size) as T;\n  }\n\n  private shallowSlice(x: Tensor, begin: number[], size: number[]): Tensor {\n    const xTexData = this.texData.get(x.dataId);\n    const t = this.makeOutput(size, x.dtype);\n    const newTexData = this.texData.get(t.dataId);\n    // Copy texture data from the original tensor.\n    Object.assign(newTexData, xTexData);\n    newTexData.shape = size;\n    newTexData.dtype = x.dtype;\n    let flatOffset = slice_util.computeFlatOffset(begin, x.strides);\n    if (xTexData.slice) {\n      // We are slicing an already sliced tensor, so we have to accumulate\n      // the offset.\n      flatOffset += xTexData.slice.flatOffset;\n    }\n    newTexData.slice = {\n      flatOffset,\n      // Point to the original dataId, which is used to do ref counting.\n      origDataId: xTexData.slice && xTexData.slice.origDataId || x.dataId\n    };\n\n    // Increase the ref count for that data bucket.\n    const refCount = this.dataRefCount.get(newTexData.slice.origDataId) || 1;\n    this.dataRefCount.set(newTexData.slice.origDataId, refCount + 1);\n\n    return t;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.stridedSlice(x, begin, end, strides);\n    }\n\n    const outShape = slice_util.computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return tensor([], outShape) as T;\n    }\n\n    const program = new StridedSliceProgram(begin, strides, outShape);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new ReversePackedProgram(x.shape, axis) :\n        new ReverseProgram(x.shape, axis);\n    return this.compileAndRun(program, [x]);\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    if (this.shouldExecuteOnCPU(tensors)) {\n      return this.cpuBackend.concat(tensors, axis);\n    }\n\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n    if (tensors.length > env().getNumber('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.concat(tensors.slice(0, midIndex), axis);\n      const rightSide = this.concat(tensors.slice(midIndex), axis);\n      return this.concat([leftSide, rightSide], axis);\n    }\n    if (env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') && tensors[0].rank > 1) {\n      const program = new ConcatPackedProgram(tensors.map(t => t.shape), axis);\n      return this.compileAndRun(program, tensors);\n    }\n    // Any concat of n-dimensional tensors across any axis can be reduced to\n    // a concatenation of two-dimensional tensors across the axis 1 by first\n    // partitioning the axes of the original tensors into those less than the\n    // axis to be concatenated and the rest. Then reshape the tensors\n    // into a two-dimensional tensor by collapsing these two sets of axes and\n    // concatenate the resulting matrices across the axis 1, finally reshaping\n    // the result to have the proper shape.\n    const outShape = computeOutShape(tensors.map(t => t.shape), axis);\n    const tensors2D =\n        tensors.map(t => t.as2D(-1, sizeFromShape(t.shape.slice(axis))));\n    const program = new ConcatProgram(tensors2D.map(t => t.shape));\n    const res: Tensor = this.compileAndRun(program, tensors2D);\n    return res.reshape(outShape);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.neg(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.NEG, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.NEG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const [batch, , ] = a.shape;\n\n    // Since the matrices are vectors, it is faster to call mul().sum()\n    // because sum() is O(sqrt(N)) due to divide-and-conquer.\n    if ((outerShapeA === 1 || outerShapeB === 1) &&\n        sharedDim > MATMUL_SHARED_DIM_THRESHOLD) {\n      if (transposeA) {\n        a = transpose(a, [0, 2, 1]);\n      }\n      if (transposeB) {\n        b = transpose(b, [0, 2, 1]);\n      }\n\n      const a3D = outerShapeB === 1 ? a : a.as3D(batch, sharedDim, 1);\n      const axis = outerShapeB === 1 ? 2 : 1;\n      const b3D = outerShapeB === 1 ? b.as3D(batch, 1, sharedDim) : b;\n      return this.multiply(a3D, b3D).sum(axis, true /* keepDims */);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB);\n    return this.compileAndRun<Tensor3D>(program, [a, b], dtype);\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const [batch, , ] = a.shape;\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB,\n        hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [a, b];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun<Tensor3D>(program, inputs, dtype);\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64') {\n      const aData = this.texData.get(a.dataId);\n      const bData = this.texData.get(b.dataId);\n\n      const realProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.REAL, a.shape, b.shape);\n      const imagProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.IMAG, a.shape, b.shape);\n\n      const inputs = [\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.imag),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.imag)\n      ];\n      const real = this.compileAndRun<Tensor>(realProgram, inputs);\n      const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n\n      const complex = this.complex(real, imag);\n      real.dispose();\n      imag.dispose();\n      return complex;\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.multiply(a, b);\n    }\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.MUL, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.MUL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], a.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    const inputs = [x, mean, variance];\n\n    let offsetShape = null;\n    if (offset != null) {\n      offsetShape = offset.shape;\n      inputs.push(offset);\n    }\n\n    let scaleShape = null;\n    if (scale != null) {\n      scaleShape = scale.shape;\n      inputs.push(scale);\n    }\n\n    if (env().getBool('WEBGL_PACK_NORMALIZATION')) {\n      const batchNormPackedProgram = new BatchNormPackedProgram(\n          x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n          varianceEpsilon);\n      return this.compileAndRun<Tensor4D>(batchNormPackedProgram, inputs);\n    }\n\n    const batchNormProgram = new BatchNormProgram(\n        x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n        varianceEpsilon);\n    return this.compileAndRun(batchNormProgram, inputs);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_NORMALIZATION') ?\n        new LRNPackedProgram(x.shape, radius, bias, alpha, beta) :\n        new LRNProgram(x.shape, radius, bias, alpha, beta);\n    return this.compileAndRun(program, [x]);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program =\n        new LRNGradProgram(inputImage.shape, depthRadius, bias, alpha, beta);\n    return this.compileAndRun(program, [inputImage, outputImage, dy]);\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    if (x.dtype === 'string') {\n      const data = this.readSync(x.dataId) as Uint8Array[];\n      const decodedData = data.map(d => util.decodeString(d));\n      const buf = buffer(x.shape, x.dtype, decodedData);\n      return tile(buf, reps) as T;\n    }\n    const program = new TileProgram(x.shape, reps);\n    return this.compileAndRun(program, [x]);\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new PadPackedProgram(x.shape, paddings, constantValue) :\n        new PadProgram(x.shape, paddings, constantValue);\n    return this.compileAndRun(program, [x]);\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    if (this.shouldExecuteOnCPU([x, indices])) {\n      return this.cpuBackend.gather(x, indices, axis);\n    }\n    const program = new GatherProgram(x.shape, indices.size, axis);\n    return this.compileAndRun(program, [x, indices]);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'batchToSpaceND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return transpose(x.reshape(reshaped), permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'spaceToBatchND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return transpose(\n               paddedX.reshape(reshapedPaddedShape),\n               permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  private reduce(\n      x: Tensor2D, reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod',\n      dtype: DataType): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program = new ReduceProgram(reduceInfo, reduceType);\n    const output = this.compileAndRun<Tensor2D>(program, [x], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.reduce(output, reduceType, dtype);\n  }\n\n  private argReduce(\n      x: Tensor2D, reduceType: 'max'|'min',\n      bestIndicesA: Tensor2D = null): Tensor2D {\n    let batchSize = x.shape[0];\n    let inSize = x.shape[1];\n    if (bestIndicesA != null) {\n      batchSize = bestIndicesA.shape[0];\n      inSize = bestIndicesA.shape[1];\n    }\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program =\n        new ArgMinMaxProgram(reduceInfo, reduceType, bestIndicesA == null);\n    const inputs = [x];\n    if (bestIndicesA != null) {\n      inputs.push(bestIndicesA);\n    }\n    const output = this.compileAndRun<Tensor2D>(program, inputs, 'int32');\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.argReduce(x, reduceType, output);\n  }\n\n  private argReducePacked(\n      x: Tensor, reduceType: 'max'|'min', bestIndicesA: Tensor = null): Tensor {\n    const inShape = bestIndicesA != null ? bestIndicesA.shape : x.shape;\n    const inSize = inShape[inShape.length - 1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const program = new ArgMinMaxPackedProgram(\n        inShape, windowSize, reduceType, bestIndicesA == null);\n    const inputs = bestIndicesA == null ? [x] : [x, bestIndicesA];\n    const output = this.compileAndRun<Tensor>(program, inputs, 'int32');\n    if (output.rank === x.rank) {\n      return this.argReducePacked(x, reduceType, output);\n    }\n    return output;\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'sum', outputDType).reshape(outShape);\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.prod(x, axes);\n    }\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'prod', outputDType).reshape(outShape);\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    let axis = 0;\n    const permutation = axis_util.getAxesPermutation([axis], x.rank);\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = transpose(x, permutation);\n      axis = axis_util.getInnerMostAxes(1, x.rank)[0];\n    }\n\n    const outShape =\n        segment_util.computeOutShape(permutedX.shape, axis, numSegments);\n    const inSize = util.sizeFromShape([permutedX.shape[axis]]);\n    const a2D = permutedX.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    let result =\n        this.segOpCompute(\n                a2D, 'unsortedSegmentSum', segmentIds, outputDType, numSegments)\n            .reshape(outShape);\n    if (permutation != null) {\n      result = transpose(result, axis_util.getUndoAxesPermutation(permutation));\n    }\n    return result;\n  }\n\n  private segOpCompute(\n      x: Tensor2D, segOpType: 'unsortedSegmentSum', segmentIds: Tensor1D,\n      dtype: DataType, numSegments: number): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize =\n        segment_util.segOpComputeOptimalWindowSize(inSize, numSegments);\n    const segOpInfo = {windowSize, inSize, batchSize, numSegments};\n    const program = new SegmentOpProgram(segOpInfo, segOpType);\n    const output =\n        this.compileAndRun<Tensor2D>(program, [x, segmentIds], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === numSegments) {\n      return output;\n    }\n    segmentIds = range(0, numSegments).tile([inSize / windowSize]);\n    return this.segOpCompute(output, segOpType, segmentIds, dtype, numSegments);\n  }\n\n  private argMinMaxReduce(x: Tensor, axis: number, reduceType: 'min'|'max'):\n      Tensor {\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims(\n        'arg' + reduceType.charAt(0).toUpperCase() + reduceType.slice(1), axes,\n        x.rank);\n    if (!env().getBool('WEBGL_PACK_REDUCE') || x.rank <= 2) {\n      const [outShape, reduceShape] =\n          axis_util.computeOutAndReduceShapes(x.shape, axes);\n      const inSize = util.sizeFromShape(reduceShape);\n      const a2D = x.as2D(-1, inSize);\n      return this.argReduce(a2D, reduceType).reshape(outShape);\n    }\n    return this.argReducePacked(x, reduceType);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'min');\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'max');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `WebGL cumsum shader expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const program = new CumSumProgram(x.shape, exclusive, reverse);\n    return this.compileAndRun(program, [x]);\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.EQUAL, 'bool');\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.NOT_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.NOT_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.less(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.LESS, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LESS_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.greater(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.GREATER, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.GREATER, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.GREATER_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.GREATER_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOGICAL_NOT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_AND, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_AND, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_OR, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_OR, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    const program = new SelectProgram(condition.rank, a.shape, a.rank);\n    return this.compileAndRun(\n        program, [condition, a, b], upcastType(a.dtype, b.dtype));\n  }\n\n  where(condition: Tensor): Tensor2D {\n    warn(\n        'tf.where() in webgl locks the UI thread. ' +\n        'Call tf.whereAsync() instead');\n    const condVals = condition.dataSync();\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    const xVals = x.dataSync();\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'min', a2D.dtype).reshape(outShape);\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.minimum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MIN, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MIN, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MOD, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MOD, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.max(x, axes);\n    }\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'max', a2D.dtype).reshape(outShape);\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.maximum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MAX, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MAX, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'all', a2D.dtype).reshape(outShape);\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'any', a2D.dtype).reshape(outShape);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    const op = binaryop_gpu.INT_DIV;\n    const outputDtype = 'int32';\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.INT_DIV, outputDtype);\n    }\n    const program = new BinaryOpProgram(op, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], outputDtype);\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.ADD);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.add(a, b);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.ADD, dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.ADD, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  private packedUnaryOp(x: TensorInfo, op: string, dtype: DataType) {\n    const program = new UnaryOpPackedProgram(x.shape, op);\n    return this.compileAndRun<Tensor>(program, [x], dtype);\n  }\n\n  private packedBinaryOp(\n      a: TensorInfo, b: TensorInfo, op: string, dtype: DataType,\n      checkOutOfBounds = false) {\n    const program =\n        new BinaryOpPackedProgram(op, a.shape, b.shape, checkOutOfBounds);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  /**\n   * Computes a complex binary operation that can be decomposed into a simple\n   * binary operation on both the real and imagary parts.\n   */\n  private complexSeparableBinaryOp(a: Tensor, b: Tensor, op: string): Tensor {\n    const aData = this.texData.get(a.dataId);\n    const bData = this.texData.get(b.dataId);\n\n    const [real, imag] = [\n      [aData.complexTensors.real, bData.complexTensors.real],\n      [aData.complexTensors.imag, bData.complexTensors.imag]\n    ].map(complexParts => {\n      const [aPart, bPart] = complexParts;\n\n      const aHandle = this.makeComplexComponentTensorInfo(a, aPart);\n      const bHandle = this.makeComplexComponentTensorInfo(b, bPart);\n\n      const program = new BinaryOpProgram(op, a.shape, b.shape);\n      return this.compileAndRun<Tensor>(\n          program, [aHandle, bHandle], upcastType(aPart.dtype, bPart.dtype));\n    });\n\n    const complex = this.complex(real, imag);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  // Returns a TensorInfo with the complex shape and the dataId of the\n  // underlying part. We need to do this because a reshaped complex tensor is\n  // not reflected in its parts.\n  private makeComplexComponentTensorInfo(\n      complexTensor: Tensor, complexPart: Tensor): TensorInfo {\n    return {\n      dataId: complexPart.dataId,\n      dtype: complexPart.dtype,\n      shape: complexTensor.shape\n    };\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n\n    // Limit the number of uploaded textures for optimization.\n    if (tensors.length > env().get('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.addN(tensors.slice(0, midIndex));\n      const rightSide = this.addN(tensors.slice(midIndex));\n      return this.addN([leftSide, rightSide]);\n    }\n\n    const dtype =\n        tensors.map(t => t.dtype).reduce((d1, d2) => upcastType(d1, d2));\n    const shapes = tensors.map(t => t.shape);\n    // We can make sure shapes are identical in op level.\n    const usePackedOp = env().getBool('WEBGL_PACK');\n    const program = usePackedOp ?\n        new AddNPackedProgram(tensors[0].shape, shapes) :\n        new AddNProgram(tensors[0].shape, shapes);\n    return this.compileAndRun<T>(program, tensors, dtype);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.SUB);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.subtract(a, b);\n    }\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.SUB, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.SUB, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    const usePackedOp = env().getBool('WEBGL_PACK_BINARY_OPERATIONS');\n    const program = usePackedOp ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.POW, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.POW, a.shape, b.shape);\n    const dtype = upcastType(a.dtype, b.dtype);\n    return this.compileAndRun<T>(program, [a, b], dtype);\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.ceil(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.CEIL, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.CEIL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.floor(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.FLOOR, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.FLOOR);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_NAN);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_INF);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_FINITE);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ROUND);\n    return this.compileAndRun(program, [x]);\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.exp(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXP, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXP);\n    return this.compileAndRun(program, [x]);\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.expm1(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXPM1, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXPM1);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softmax<T extends Tensor>(logits: T, dim: number): T {\n    const axes = util.parseAxisParam([dim], logits.shape);\n    const maxLogit = this.max(logits, axes);\n    const expandedShape = axis_util.expandShapeToKeepDim(maxLogit.shape, axes);\n    const a = this.subtract(logits, maxLogit.reshape(expandedShape));\n    const b = this.exp(a);\n    const sumExp = this.sum(b, axes).reshape(expandedShape);\n\n    // TODO(annxingyuan): Call divImpl rather than op as part of softmax kernel\n    // modularization.\n    return div(b, sumExp);\n  }\n\n  log<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.log(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.LOG, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG1P);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.rsqrt(x);\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.RSQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.RECIPROCAL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU6);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU6);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  prelu<T extends Tensor>(x: T, alpha: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.PRELU, x.shape, alpha.shape) :\n        new BinaryOpProgram(binaryop_gpu.PRELU, x.shape, alpha.shape);\n    return this.compileAndRun(program, [x, alpha]);\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.ELU, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.ELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.ELU_DER, dy.shape, y.shape) :\n        new BinaryOpProgram(binaryop_gpu.ELU_DER, dy.shape, y.shape);\n    return this.compileAndRun(program, [dy, y]);\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  int<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TO_INT);\n    return this.compileAndRun(program, [x], 'int32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    let program;\n    if (env().getBool('WEBGL_PACK_CLIP')) {\n      program = new ClipPackedProgram(x.shape);\n    } else {\n      program = new ClipProgram(x.shape);\n    }\n    const customSetup = program.getCustomSetupFunc(min, max);\n    return this.compileAndRun(program, [x], null, customSetup);\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.abs(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.ABS, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.ABS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const xData = this.texData.get(x.dataId);\n\n    const program = new ComplexAbsProgram(x.shape);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    return this.compileAndRun<Tensor>(program, inputs) as T;\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGMOID);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SOFTPLUS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.ATAN2, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.ATAN2, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ERF);\n    return this.compileAndRun(program, [x]);\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.STEP(alpha));\n    return this.compileAndRun(program, [x]);\n  }\n\n  private conv2dByMatMul(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Reshapes conv2D input to 2D tensors, uses matMul and then reshape the\n    // result from 2D to 4D.\n    const xShape = x.shape;\n    const xTexData = this.texData.get(x.dataId);\n    const sharedMatMulDim = convInfo.inChannels;\n    const outerShapeX = xShape[0] * xShape[1] * xShape[2];\n    const outerShapeFilter = convInfo.outChannels;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const transposeA = false;\n    const transposeB = false;\n\n    // TODO: Once reduction ops are packed, batchMatMul will always be packed\n    // and we can remove this condition.\n    const batchMatMulWillBeUnpacked =\n        (outerShapeX === 1 || outerShapeFilter === 1) &&\n        sharedMatMulDim > MATMUL_SHARED_DIM_THRESHOLD;\n    const reshapeWillBeExpensive = xShape[2] % 2 !== 0 && !!xTexData.isPacked;\n\n    if (batchMatMulWillBeUnpacked || !env().getBool('WEBGL_LAZILY_UNPACK') ||\n        !env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ||\n        !reshapeWillBeExpensive) {\n      const targetShape = isChannelsLast ? xShape[0] * xShape[1] * xShape[2] :\n                                           xShape[0] * xShape[2] * xShape[3];\n      const xReshaped = this.reshape(x, [1, targetShape, convInfo.inChannels]);\n      const filterReshaped =\n          this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n      return this.reshape<Rank.R4>(\n          this.fusedBatchMatMul({\n            a: xReshaped as Tensor3D,\n            b: filterReshaped as Tensor3D,\n            transposeA,\n            transposeB,\n            bias,\n            activation,\n            preluActivationWeights\n          }),\n          convInfo.outShape);\n    }\n\n    // Following optimization is specific to packed |x| with odd row count\n    // (For example, in channelLast mode, 'row count' refers to x.shape[2]):\n    // we avoid expensive packed 2x2 reshape by padding row count to next,\n    // even number. When x.shape[2] is odd, the result of packed batchMatMul is\n    // the same (has the same texture layout and and values in the texture) as\n    // it is for even x.shape[2] + 1. We make the odd-rows tensor to look like\n    // even-rows tensor before the operation and, after the batchMatMul,\n    // fix the even-rows result to have odd number of rows.\n    const targetShape = isChannelsLast ?\n        xShape[0] * xShape[1] * (xShape[2] + 1) :\n        xShape[0] * xShape[2] * (xShape[3] + 1);\n    const xReshaped: TensorInfo = {\n      dataId: x.dataId,\n      shape: [1, targetShape, convInfo.inChannels],\n      dtype: x.dtype\n    };\n    // xTexData.shape gets referenced from GPGPUBinary.inShapeInfos.\n    // Decrementing row count, after batchMatMul->...->compileProgram leads to\n    // invalid row count within the reference in GPGPUBinary.inShapeInfos.\n    // Alternative fix would be to provide a copy to GPGPUBinary.inShapeInfos\n    // in compileProgram method, but that would affect compilation of all\n    // programs - instead, provide a copy here, with even row count, before\n    // calling batchMatMul->...->compileProgram and after that, the original\n    // xTexData.shape is restored.\n    const originalXTexDataShape = xTexData.shape;\n    xTexData.shape = xTexData.shape.slice();\n    xTexData.shape[xTexData.shape.length - 2]++;\n    util.assert(\n        webgl_util.isReshapeFree(xTexData.shape, xReshaped.shape),\n        () => `packed reshape ${xTexData.shape} to ${\n            xReshaped.shape} isn't free`);\n    const filterReshaped =\n        this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n    const pointwiseConv = this.fusedBatchMatMul({\n      a: xReshaped as Tensor3D,\n      b: filterReshaped as Tensor3D,\n      transposeA,\n      transposeB,\n      bias,\n      activation,\n      preluActivationWeights\n    });\n    const pointwiseConvTexData = this.texData.get(pointwiseConv.dataId);\n    util.assert(\n        pointwiseConvTexData.isPacked,\n        () => 'batchMatMul result is expected to be packed');\n    // Restore the input shape to original.\n    xTexData.shape = originalXTexDataShape;\n    // Set the output shape - there is no need for expensive reshape as data\n    // layout is already correct.\n    pointwiseConvTexData.shape = convInfo.outShape;\n    return ENGINE.makeTensorFromDataId(\n               pointwiseConv.dataId, convInfo.outShape, pointwiseConv.dtype) as\n        Tensor4D;\n  }\n\n  private conv2dWithIm2Row(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Rearranges conv2d input so each block to be convolved over forms the\n    // column of a new matrix with shape [filterWidth * filterHeight *\n    // inChannels, outHeight * outWidth]. The filter is also rearranged so each\n    // output channel forms a row of a new matrix with shape [outChannels,\n    // filterWidth * filterHeight * inChannels]. The convolution is then\n    // computed by multiplying these matrices and reshaping the result.\n    const {\n      filterWidth,\n      filterHeight,\n      inChannels,\n      outWidth,\n      outHeight,\n      dataFormat\n    } = convInfo;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n\n    const sharedDim = filterWidth * filterHeight * inChannels;\n    const numCols = outHeight * outWidth;\n    const x2ColShape = [sharedDim, numCols];\n    const transposeA = true;\n    const transposeB = false;\n\n    const xSqueezed = x.squeeze([0]);\n    const w2Row = filter.reshape([1, sharedDim, -1]);\n\n    const im2ColProgram =\n        new Im2ColPackedProgram(x2ColShape, xSqueezed.shape, convInfo);\n    const im2Col: Tensor3D =\n        this.compileAndRun<Tensor2D>(im2ColProgram, [xSqueezed]).reshape([\n          1, x2ColShape[0], x2ColShape[1]\n        ]);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const matmulProgram = new MatMulPackedProgram(\n        im2Col.shape, [1, numCols, convInfo.outChannels], transposeA,\n        transposeB, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [im2Col, w2Row];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    const product = this.compileAndRun<Tensor4D>(matmulProgram, inputs);\n\n    if (isChannelsLast) {\n      return product.reshape([1, outHeight, outWidth, convInfo.outChannels]);\n    } else {\n      return product.reshape([1, convInfo.outChannels, outHeight, outWidth]);\n    }\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && input.shape[0] === 1) {\n      return this.conv2dWithIm2Row(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, false) : null;\n    const program = new Conv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [input, filter];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun(program, inputs);\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(x, filter, convInfo);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && x.shape[0] === 1) {\n      return this.conv2dWithIm2Row(x, filter, convInfo);\n    }\n    const program = new Conv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new Conv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Conv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    const shouldPackDepthwiseConv = env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1;\n    const fusedActivation = activation ?\n        mapActivationToShaderProgram(activation, shouldPackDepthwiseConv) :\n        null;\n    const inputs: Tensor[] = [input, filter];\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    if (hasBias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (shouldPackDepthwiseConv) {\n      program = new DepthwiseConvPacked2DProgram(\n          convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n      return this.compileAndRun(program, inputs);\n    }\n\n    program = new DepthwiseConv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    return this.compileAndRun(program, inputs);\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1) {\n      program = new DepthwiseConvPacked2DProgram(convInfo);\n      return this.compileAndRun(program, [x, filter]);\n    }\n\n    program = new DepthwiseConv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const program = new Conv3DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x]);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const getPositions = true;\n    const maxPoolPositionsProgram =\n        new Pool2DProgram(convInfo, 'max', getPositions);\n    const maxPoolPositions: Tensor4D =\n        this.compileAndRun(maxPoolPositionsProgram, [x]);\n\n    const maxPoolBackPropProgram = new MaxPool2DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPoolBackPropProgram, [dy, maxPoolPositions], x.dtype);\n    maxPoolPositions.dispose();\n    return result as Tensor4D;\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const avgPoolBackpropProgram = new AvgPool2DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPoolBackpropProgram, [dy], x.dtype);\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const avgPool3dBackpropProgram = new AvgPool3DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPool3dBackpropProgram, [dy], x.dtype);\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const getPositions = true;\n    const maxPool3dPositionsProgram =\n        new Pool3DProgram(convInfo, 'max', getPositions);\n    const maxPool3dPositions: Tensor5D =\n        this.compileAndRun(maxPool3dPositionsProgram, [x]);\n    const maxPool3dBackPropProgram = new MaxPool3DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPool3dBackPropProgram, [dy, maxPool3dPositions], x.dtype);\n    maxPool3dPositions.dispose();\n    return result as Tensor5D;\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const texData = this.texData.get(x.dataId);\n    if (texData.isPacked && !webgl_util.isReshapeFree(x.shape, shape) &&\n        !(texData.texture !== null &&\n          webgl_util.isReshapeFree(texData.shape, shape))) {\n      const info = this.packedReshape(x, shape);\n      return ENGINE.makeTensorFromDataId(info.dataId, info.shape, info.dtype) as\n          Tensor<R>;\n    }\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_IMAGE_OPERATIONS') ?\n        new ResizeBilinearPackedProgram(\n            x.shape, newHeight, newWidth, alignCorners) :\n        new ResizeBilinearProgram(x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    const program = new ResizeBilinearBackpropProgram(dy, x, alignCorners);\n\n    return this.compileAndRun(program, [dy]);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = new ResizeNearestNeighborProgram(\n        x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x]);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    const program =\n        new ResizeNearestNeigborBackpropProgram(dy, x, alignCorners);\n    return this.compileAndRun(program, [dy]);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    const probs = normalized ? logits : softmax(logits);\n    const batchSize = probs.shape[0];\n    const numOutcomes = probs.shape[1];\n    const program = new MultinomialProgram(batchSize, numOutcomes, numSamples);\n    const customSetup = program.getCustomSetupFunc(seed);\n    return this.compileAndRun(program, [probs], 'int32', customSetup);\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    const program = new OneHotProgram(indices.size, depth, onValue, offValue);\n    return this.compileAndRun(program, [indices]);\n  }\n\n  diag(x: Tensor): Tensor {\n    const program = new DiagProgram(x.size);\n    return this.compileAndRun(program, [x]);\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n    const boxesVals = boxes.dataSync();\n    const scoresVals = scores.dataSync();\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    const program = new CropAndResizeProgram(\n        image.shape, boxes.shape, cropSize, method, extrapolationValue);\n    return this.compileAndRun(program, [image, boxes, boxIndex], 'float32');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = (dataFormat === 'NHWC') ? x.shape[1] : x.shape[2];\n    const inputWidth = (dataFormat === 'NHWC') ? x.shape[2] : x.shape[3];\n    const inputDepth = (dataFormat === 'NHWC') ? x.shape[3] : x.shape[1];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const outputShape = (dataFormat === 'NHWC') ?\n        [batchSize, outputHeight, outputWidth, outputDepth] :\n        [batchSize, outputDepth, outputHeight, outputWidth];\n\n    const program = new DepthToSpaceProgram(outputShape, blockSize, dataFormat);\n    return this.compileAndRun(program, [x]);\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n    const flattenIndices = indices.reshape([numUpdates, sliceRank]);\n    const flattenX = updates.reshape([numUpdates, sliceSize]);\n\n    if (outputSize === 0) {\n      return backend_util.reshapeTensor(tensor([]), shape);\n    }\n    const defaultValue = scalar(0);\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, flattenIndices.rank, flattenX.rank, strides,\n        flattenShape);\n    const res: Tensor =\n        this.compileAndRun(program, [flattenX, flattenIndices, defaultValue]);\n    return res.reshape(shape);\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n\n    const sumDupeIndices = false;\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, sparseIndices.rank, sparseValues.rank, strides,\n        [outputSize, 1], sumDupeIndices);\n    const res: Tensor = this.compileAndRun(\n        program, [sparseValues, sparseIndices, defaultValue]);\n    return res.reshape(outputShape);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    const inverse = false;\n    return this.fftImpl(x, inverse);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    const inverse = true;\n    return this.fftImpl(x, inverse);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const xData = this.texData.get(x.dataId);\n\n    const realProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.REAL, x.shape, inverse);\n    const imagProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.IMAG, x.shape, inverse);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    const real = this.compileAndRun<Tensor>(realProgram, inputs);\n    const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n    const complex = this.complex(real, imag).as2D(x.shape[0], x.shape[1]);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n\n    const flattenIndices = indices.reshape([numSlices, sliceRank]);\n    const flattenX = x.reshape([x.size / sliceSize, sliceSize]);\n    const program =\n        new GatherNDProgram(sliceRank, strides, [numSlices, sliceSize]);\n    const res: Tensor = this.compileAndRun(program, [flattenX, flattenIndices]);\n    return res.reshape(resultShape);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n\n    if (dtype === 'string') {\n      // String type should be handled in CPU memory.\n      const values = getArrayFromDType(dtype, sizeFromShape(shape));\n      values.fill(value as string);\n      return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n    } else {\n      const program = new FillProgram(shape, value as number);\n      const customSetup = program.getCustomSetupFunc(value as number);\n      return this.compileAndRun(program, [], dtype, customSetup);\n    }\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported under string dtype');\n    } else {\n      // TODO(cais, smilkov): Add WebGL shader for onesLike:\n      //   https://github.com/tensorflow/tfjs/issues/1293\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return this.fill(x.shape, x.dtype === 'string' ? '' : 0, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    // TODO: Use CPU implementation due to the precision problem in Safari.\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  makeTensorInfo(shape: number[], dtype: DataType): TensorInfo {\n    const dataId = this.write(null /* values */, shape, dtype);\n    this.texData.get(dataId).usage = null;\n    return {dataId, shape, dtype};\n  }\n\n  private makeOutput<T extends Tensor>(shape: number[], dtype: DataType): T {\n    const {dataId} = this.makeTensorInfo(shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  private unpackTensor(input: TensorInfo): TensorInfo {\n    const program = new UnpackProgram(input.shape);\n    return this.runWebGLProgram(program, [input], input.dtype);\n  }\n\n  private packTensor(input: TensorInfo): TensorInfo {\n    const program = new PackProgram(input.shape);\n    const preventEagerUnpackingOutput = true;\n    return this.runWebGLProgram(\n        program, [input], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOutput);\n  }\n\n  private packedReshape(input: TensorInfo, afterShape: number[]): TensorInfo {\n    const input3DShape = [\n      webgl_util.getBatchDim(input.shape),\n      ...webgl_util.getRowsCols(input.shape)\n    ] as [number, number, number];\n    const input3D: TensorInfo = {\n      dtype: input.dtype,\n      shape: input3DShape,\n      dataId: input.dataId\n    };\n    const afterShapeAs3D = [\n      webgl_util.getBatchDim(afterShape), ...webgl_util.getRowsCols(afterShape)\n    ] as [number, number, number];\n\n    const program = new ReshapePackedProgram(afterShapeAs3D, input3DShape);\n    const preventEagerUnpackingOfOutput = true;\n    const output = this.runWebGLProgram(\n        program, [input3D], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOfOutput);\n    return {dataId: output.dataId, shape: afterShape, dtype: output.dtype};\n  }\n\n  private decode(dataId: DataId): TensorInfo {\n    const texData = this.texData.get(dataId);\n    const {isPacked, shape, dtype} = texData;\n    const shapeAs3D =\n        webgl_util.getShapeAs3D(shape) as [number, number, number];\n    let program;\n    if (isPacked) {\n      program = new DecodeMatrixPackedProgram(shapeAs3D);\n    } else {\n      program = new DecodeMatrixProgram(shapeAs3D);\n    }\n    const preventEagerUnpackingOfOutput = true;\n    const out = this.runWebGLProgram(\n        program, [{shape: shapeAs3D, dtype, dataId}], dtype,\n        null /* customSetup */, preventEagerUnpackingOfOutput);\n    return {dtype, shape, dataId: out.dataId};\n  }\n\n  runWebGLProgram(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): TensorInfo {\n    const output = this.makeTensorInfo(program.outputShape, outputDtype);\n    const outData = this.texData.get(output.dataId);\n    if (program.packedOutput) {\n      outData.isPacked = true;\n    }\n    if (program.outPackingScheme === tex_util.PackingScheme.DENSE) {\n      const texelShape = tex_util.getDenseTexShape(program.outputShape);\n      // For a densely packed output, we explicitly set texShape\n      // so it doesn't get assigned later according to our typical packing\n      // scheme wherein a single texel can only contain values from adjacent\n      // rows/cols.\n      outData.texShape = texelShape.map(d => d * 2) as [number, number];\n    }\n    if (program.outTexUsage != null) {\n      outData.usage = program.outTexUsage;\n    }\n    if (sizeFromShape(output.shape) === 0) {\n      // Short-circuit the computation since the result is empty (has 0 in its\n      // shape).\n      outData.values = getTypedArrayFromDType(output.dtype as 'float32', 0);\n      return output;\n    }\n\n    const dataToDispose: TensorInfo[] = [];\n    const inputsData: TensorData[] = inputs.map(input => {\n      if (input.dtype === 'complex64') {\n        throw new Error(\n            `GPGPUProgram does not support complex64 input. For complex64 ` +\n            `dtypes, please separate the program into real and imaginary ` +\n            `parts.`);\n      }\n\n      let texData = this.texData.get(input.dataId);\n\n      if (texData.texture == null) {\n        if (!program.packedInputs &&\n            util.sizeFromShape(input.shape) <=\n                env().getNumber('WEBGL_SIZE_UPLOAD_UNIFORM')) {\n          // Upload small tensors that live on the CPU as uniforms, not as\n          // textures. Do this only when the environment supports 32bit floats\n          // due to problems when comparing 16bit floats with 32bit floats.\n          // TODO(https://github.com/tensorflow/tfjs/issues/821): Make it\n          // possible for packed shaders to sample from uniforms.\n          return {\n            shape: input.shape,\n            texData: null,\n            isUniform: true,\n            uniformValues: texData.values as TypedArray\n          };\n        }\n\n        // This ensures that if a packed program's inputs have not yet been\n        // uploaded to the GPU, they get uploaded as packed right off the bat.\n        if (program.packedInputs) {\n          texData.isPacked = true;\n          texData.shape = input.shape;\n        }\n      } else if (!!texData.isPacked !== !!program.packedInputs) {\n        input = texData.isPacked ? this.unpackTensor(input) :\n                                   this.packTensor(input);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n      } else if (\n          texData.isPacked &&\n          !webgl_util.isReshapeFree(texData.shape, input.shape)) {\n        // This is a special case where a texture exists for a tensor\n        // but the shapes are incompatible (due to packing constraints) because\n        // the tensor did not have a chance to go through the packed reshape\n        // shader. This only happens when we reshape the *same* tensor to form\n        // *distinct* inputs to an op, e.g. dotting a vector with itself. This\n        // case will disappear once packed uploading is the default.\n\n        const savedInput = input;\n        const targetShape = input.shape;\n\n        input.shape = texData.shape;\n        input = this.packedReshape(input as Tensor, targetShape);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n\n        savedInput.shape = targetShape;\n      }\n\n      this.uploadToGPU(input.dataId);\n      return {shape: input.shape, texData, isUniform: false};\n    });\n\n    this.uploadToGPU(output.dataId);\n    const outputData:\n        TensorData = {shape: output.shape, texData: outData, isUniform: false};\n    const key = gpgpu_math.makeShaderKey(program, inputsData, outputData);\n    const binary = this.getAndSaveBinary(key, () => {\n      return gpgpu_math.compileProgram(\n          this.gpgpu, program, inputsData, outputData);\n    });\n    const shouldTimeProgram = this.activeTimers != null;\n    let query: WebGLQuery|CPUTimerQuery;\n    if (shouldTimeProgram) {\n      query = this.startTimer();\n    }\n\n    gpgpu_math.runProgram(\n        this.gpgpu, binary, inputsData, outputData, customSetup);\n\n    dataToDispose.forEach(info => this.disposeData(info.dataId));\n\n    if (shouldTimeProgram) {\n      query = this.endTimer(query);\n      this.activeTimers.push(\n          {name: program.constructor.name, query: this.getQueryTime(query)});\n    }\n\n    if (!env().getBool('WEBGL_LAZILY_UNPACK') && outData.isPacked &&\n        preventEagerUnpackingOfOutput === false) {\n      const unpacked = this.unpackTensor(output);\n      this.disposeData(output.dataId);\n      return unpacked;\n    }\n    return output;\n  }\n\n  compileAndRun<K extends TensorInfo>(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype?: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): K {\n    outputDtype = outputDtype || inputs[0].dtype;\n    const outInfo = this.runWebGLProgram(\n        program, inputs, outputDtype, customSetup,\n        preventEagerUnpackingOfOutput);\n    return ENGINE.makeTensorFromDataId(\n               outInfo.dataId, outInfo.shape, outInfo.dtype) as {} as K;\n  }\n\n  private getAndSaveBinary(key: string, getBinary: () => GPGPUBinary):\n      GPGPUBinary {\n    if (!(key in this.binaryCache)) {\n      this.binaryCache[key] = getBinary();\n    }\n    return this.binaryCache[key];\n  }\n\n  getTextureManager(): TextureManager {\n    return this.textureManager;\n  }\n\n  private disposed = false;\n\n  dispose() {\n    if (this.disposed) {\n      return;\n    }\n    // Avoid disposing the compiled webgl programs during unit testing because\n    // it slows down test execution.\n    if (!env().getBool('IS_TEST')) {\n      const allKeys = Object.keys(this.binaryCache);\n      allKeys.forEach(key => {\n        this.gpgpu.deleteProgram(this.binaryCache[key].webGLProgram);\n        delete this.binaryCache[key];\n      });\n    }\n    this.textureManager.dispose();\n    if (this.canvas != null &&\n        (typeof (HTMLCanvasElement) !== 'undefined' &&\n         this.canvas instanceof HTMLCanvasElement)) {\n      this.canvas.remove();\n    } else {\n      this.canvas = null;\n    }\n    if (this.gpgpuCreatedLocally) {\n      this.gpgpu.program = null;\n      this.gpgpu.dispose();\n    }\n    this.disposed = true;\n  }\n\n  floatPrecision(): 16|32 {\n    if (this.floatPrecisionValue == null) {\n      this.floatPrecisionValue = tidy(() => {\n        if (!env().get('WEBGL_RENDER_FLOAT32_ENABLED')) {\n          // Momentarily switching DEBUG flag to false so we don't throw an\n          // error trying to upload a small value.\n          const debugFlag = env().getBool('DEBUG');\n          env().set('DEBUG', false);\n          const underflowCheckValue = this.abs(scalar(1e-8)).dataSync()[0];\n          env().set('DEBUG', debugFlag);\n\n          if (underflowCheckValue > 0) {\n            return 32;\n          }\n        }\n        return 16;\n      });\n    }\n    return this.floatPrecisionValue;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  private uploadToGPU(dataId: DataId): void {\n    const texData = this.texData.get(dataId);\n    const {shape, dtype, values, texture, usage, isPacked} = texData;\n\n    if (texture != null) {\n      // Array is already on GPU. No-op.\n      return;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let texShape = texData.texShape;\n    if (texShape == null) {\n      texShape = webgl_util.getTextureShapeFromLogicalShape(shape, isPacked);\n      texData.texShape = texShape;\n    }\n\n    if (values != null) {\n      const shapeAs3D = webgl_util.getShapeAs3D(shape);\n\n      let program;\n      let width = texShape[1], height = texShape[0];\n      const isByteArray = values instanceof Uint8Array;\n\n      if (isPacked) {\n        [width, height] = tex_util.getPackedMatrixTextureShapeWidthHeight(\n            texShape[0], texShape[1]);\n        program = new EncodeMatrixPackedProgram(\n            shapeAs3D, [height, width], isByteArray);\n      } else {\n        program =\n            new EncodeMatrixProgram(shapeAs3D, [height, width], isByteArray);\n      }\n\n      const tempDenseInputHandle = this.makeTensorInfo([height, width], dtype);\n      if (isByteArray) {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.PIXELS;\n      } else {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.UPLOAD;\n      }\n      this.gpgpu.uploadDenseMatrixToTexture(\n          this.getTexture(tempDenseInputHandle.dataId), width, height,\n          values as TypedArray);\n\n      // We want the output to remain packed regardless of the value of\n      // WEBGL_PACK.\n      const preventEagerUnpacking = true;\n      const encodedOutputTarget = this.runWebGLProgram(\n          program, [tempDenseInputHandle], dtype, null, preventEagerUnpacking);\n\n      // Have the original texture assume the identity of the encoded output.\n      const outputTexData = this.texData.get(encodedOutputTarget.dataId);\n      texData.texture = outputTexData.texture;\n      texData.texShape = outputTexData.texShape;\n      texData.isPacked = outputTexData.isPacked;\n      texData.usage = outputTexData.usage;\n\n      this.disposeData(tempDenseInputHandle.dataId);\n      this.texData.delete(encodedOutputTarget.dataId);\n\n      // Once uploaded, don't store the values on cpu.\n      texData.values = null;\n      if (shouldTimeProgram) {\n        this.uploadWaitMs += util.now() - start;\n      }\n    } else {\n      const newTexture = this.acquireTexture(texShape, usage, dtype, isPacked);\n      texData.texture = newTexture;\n    }\n  }\n\n  private convertAndCacheOnCPU(dataId: DataId, float32Values?: Float32Array):\n      TypedArray {\n    const texData = this.texData.get(dataId);\n    const {dtype} = texData;\n\n    this.releaseGPUData(dataId);\n\n    if (float32Values != null) {\n      texData.values = float32ToTypedArray(float32Values, dtype as 'float32');\n    }\n    return texData.values as TypedArray;\n  }\n\n  private acquireTexture(\n      texShape: [number, number], texType: TextureUsage, dtype: DataType,\n      isPacked: boolean): WebGLTexture {\n    this.numBytesInGPU += this.computeBytes(texShape, dtype);\n    if (!this.warnedAboutMemory &&\n        this.numBytesInGPU > this.numMBBeforeWarning * 1024 * 1024) {\n      const mb = (this.numBytesInGPU / 1024 / 1024).toFixed(2);\n      this.warnedAboutMemory = true;\n      console.warn(\n          `High memory usage in GPU: ${mb} MB, ` +\n          `most likely due to a memory leak`);\n    }\n    return this.textureManager.acquireTexture(texShape, texType, isPacked);\n  }\n\n  private computeBytes(shape: [number, number], dtype: DataType) {\n    return shape[0] * shape[1] * util.bytesPerElement(dtype);\n  }\n}\n\nif (device_util.isBrowser()) {\n  ENGINE.registerBackend(\n      'webgl', () => new MathBackendWebGL(), 2 /* priority */);\n}\n\nfunction float32ToTypedArray<D extends NumericDataType>(\n    a: Float32Array, dtype: D): DataTypeMap[D] {\n  if (dtype === 'float32' || dtype === 'complex64') {\n    return a as DataTypeMap[D];\n  } else if (dtype === 'int32' || dtype === 'bool') {\n    const result = (dtype === 'int32') ? new Int32Array(a.length) :\n                                         new Uint8Array(a.length);\n    for (let i = 0; i < result.length; ++i) {\n      result[i] = Math.round(a[i]);\n    }\n    return result as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {nearestDivisor} from '../util';\n\nimport {PARALLELIZE_THRESHOLD} from './reduce_util';\n\nexport interface SegOpInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n  numSegments: number;\n}\n\nexport function segOpComputeOptimalWindowSize(\n    inSize: number, numSegments: number): number {\n  let done = false;\n  let res;\n\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    res = inSize;\n    done = true;\n  } else {\n    res = nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n  }\n\n  while (!done) {\n    if (res > numSegments || res === inSize) {\n      done = true;\n    } else {\n      res = nearestDivisor(inSize, res + 1);\n    }\n  }\n  return res;\n}\n\nexport function computeOutShape(\n    aShape: number[], axis: number, numSegments: number): number[] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (dim !== axis) {\n      outShape.push(aShape[dim]);\n    } else {\n      outShape.push(numSegments);\n    }\n  }\n  return outShape;\n}\n\nexport interface GatherOpShapeInfo {\n  batchSize: number;\n  sliceSize: number;\n  dimSize: number;\n  outputShape: number[];\n}\nexport function collectGatherOpShapeInfo(\n    x: Tensor, indices: Tensor, axis: number): GatherOpShapeInfo {\n  const dimSize = x.shape[axis];\n\n  const outputShape: number[] = [];\n  let batchSize = 1;\n  let sliceSize = 1;\n  for (let i = 0; i < axis; i++) {\n    outputShape.push(x.shape[i]);\n    batchSize *= x.shape[i];\n  }\n\n  for (let i = 0; i < indices.rank; i++) {\n    outputShape.push(indices.shape[i]);\n  }\n\n  for (let i = axis + 1; i < x.rank; i++) {\n    outputShape.push(x.shape[i]);\n    sliceSize *= x.shape[i];\n  }\n\n  return {batchSize, sliceSize, dimSize, outputShape};\n}\n","// A port of an algorithm by Johannes Baagøe <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baagøe <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorshift7\" algorithm by\n// François Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n","// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n","// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n","// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baagøe.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by François Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {AddNInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Adds a list of `tf.Tensor`s element-wise, each with the same shape and dtype.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n *\n * tf.addN([a, b, c]).print();\n * ```\n * @param tensors A list of tensors with the same shape and dtype.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction addN_<T extends Tensor>(tensors: Array<T|TensorLike>): T {\n  util.assert(\n      Array.isArray(tensors),\n      () => 'The argument passed to tf.addN() must be a list of tensors');\n  util.assert(\n      tensors.length >= 1,\n      () => `Must pass at least one tensor to tf.addN(), but got ` +\n          `${tensors.length}`);\n\n  const $tensors =\n      tensors.map((t, i) => convertToTensor(t, `tensors${i}`, 'addN'));\n\n  const firstTensor = $tensors[0];\n  $tensors.forEach(t => {\n    if (t.dtype !== firstTensor.dtype) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same dtype');\n    }\n  });\n\n  $tensors.forEach(t => {\n    if (!util.arraysEqual(t.shape, firstTensor.shape)) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same shape');\n    }\n  });\n\n  const forward: ForwardFunc<Tensor> = (backend, save) =>\n      backend.addN($tensors);\n\n  const inputs: AddNInputs = $tensors;\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* grad */,\n             'AddN') as T;\n}\n\nexport const addN = op({addN_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {deprecationWarn} from '../globals';\nimport {Tensor, Tensor4D} from '../tensor';\nimport {Rank} from '../types';\n\nexport function warnDeprecation(): void {\n  deprecationWarn(\n      'tf.batchNormalization() is going away. ' +\n      'Use tf.batchNorm() instead, and note the positional argument change ' +\n      'of scale, offset, and varianceEpsilon');\n}\n\nexport function xAs4D<R extends Rank>(x: Tensor<R>) {\n  let x4D: Tensor4D;\n  if (x.rank === 0 || x.rank === 1) {\n    x4D = x.as4D(1, 1, 1, x.size);\n  } else if (x.rank === 2) {\n    x4D = x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  } else {\n    x4D = x as Tensor4D;\n  }\n\n  return x4D;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {FusedBatchNormAttrs, FusedBatchNormInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor, Tensor1D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {warnDeprecation, xAs4D} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * @deprecated Please use `tf.batchNorm` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n  warnDeprecation();\n  return batchNorm_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n/**\n * Batch normalization.\n *\n * As described in\n * [http://arxiv.org/abs/1502.03167](http://arxiv.org/abs/1502.03167).\n *\n * Mean, variance, scale, and offset can be of two shapes:\n *   - The same shape as the input.\n *   - In the common case, the depth dimension is the last dimension of x, so\n *     the values would be an `tf.Tensor1D` of shape [depth].\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that parameters passed are of given rank\n *   - `tf.batchNorm2d`\n *   - `tf.batchNorm3d`\n *   - `tf.batchNorm4d`\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction batchNorm_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor<R> {\n  if (varianceEpsilon == null) {\n    varianceEpsilon = 0.001;\n  }\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor<R>|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor<R>|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n\n  util.assert(\n      $mean.rank === $variance.rank,\n      () => 'Batch normalization gradient requires mean and variance to have ' +\n          'equal ranks.');\n  util.assert(\n      $offset == null || $mean.rank === $offset.rank,\n      () => 'Batch normalization gradient requires mean and offset to have ' +\n          'equal ranks.');\n  util.assert(\n      $scale == null || $mean.rank === $scale.rank,\n      () => 'Batch normalization gradient requires mean and scale to have ' +\n          'equal ranks.');\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const x4D: Tensor4D = xAs4D($x);\n\n    const res = backend.batchNormalization(\n        x4D, as1DOr4D($mean), as1DOr4D($variance), varianceEpsilon,\n        as1DOr4D($scale), as1DOr4D($offset));\n\n    save([$x, $mean, $variance, $scale]);\n\n    return res;\n  };\n\n  const inputs: FusedBatchNormInputs =\n      {x: $x, scale: $scale, offset: $offset, mean: $mean, variance: $variance};\n\n  const attrs: FusedBatchNormAttrs = {varianceEpsilon};\n\n  const res = ENGINE.runKernelFunc(\n      forward, inputs as {} as NamedTensorMap, null /* gradient */,\n      'FusedBatchNorm', attrs as {} as NamedAttrMap);\n\n  return res.reshape($x.shape);\n}\n\nfunction as1DOr4D(x: Tensor): Tensor4D|Tensor1D {\n  if (x == null) {\n    return null;\n  }\n  if (x.rank === 0) {\n    return x.as1D();\n  } else if (x.rank === 1) {\n    return x as Tensor1D;\n  } else if (x.rank === 2) {\n    return x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    return x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  return x as Tensor4D;\n}\n\n// todo(yassogba): Remove batchNormalization since it is deprecated.\nexport const batchNormalization = op({batchNormalization_});\nexport const batchNorm = op({batchNorm_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 2D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike, scale?: Tensor2D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor2D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor2D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 2,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 2 || $mean.rank === 1,\n      () => `Error in batchNorm2D: mean must be rank 2 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 2 || $variance.rank === 1,\n      () => `Error in batchNorm2D: variance must be rank 2 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 2 || $scale.rank === 1,\n        () => `Error in batchNorm2D: scale must be rank 2 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 2 || $offset.rank === 1,\n        () => `Error in batchNorm2D: offset must be rank 2 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm2d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike): Tensor2D {\n  warnDeprecation();\n  return batchNorm2d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization2d since it is deprecated.\nexport const batchNormalization2d = op({batchNormalization2d_});\nexport const batchNorm2d = op({batchNorm2d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 3D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike, scale?: Tensor3D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor3D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor3D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 3,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 3 || $mean.rank === 1,\n      () => `Error in batchNorm3D: mean must be rank 3 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 3 || $variance.rank === 1,\n      () => `Error in batchNorm3D: variance must be rank 3 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 3 || $scale.rank === 1,\n        () => `Error in batchNorm3D: scale must be rank 3 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 3 || $offset.rank === 1,\n        () => `Error in batchNorm3D: offset must be rank 3 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm3d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike): Tensor3D {\n  warnDeprecation();\n  return batchNorm3d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization3d since it is deprecated.\nexport const batchNormalization3d = op({batchNormalization3d_});\nexport const batchNorm3d = op({batchNorm3d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 4D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike, scale?: Tensor4D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor4D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor4D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 4,\n      () => `Error in batchNorm4D: x must be rank 4 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 4 || $mean.rank === 1,\n      () => `Error in batchNorm4D: mean must be rank 4 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 4 || $variance.rank === 1,\n      () => `Error in batchNorm4D: variance must be rank 4 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 4 || $scale.rank === 1,\n        () => `Error in batchNorm4D: scale must be rank 4 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 4 || $offset.rank === 1,\n        () => `Error in batchNorm4D: offset must be rank 4 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm4d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike): Tensor4D {\n  warnDeprecation();\n  return batchNorm4d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization4d since it is deprecated.\nexport const batchNormalization4d = op({batchNormalization4d_});\nexport const batchNorm4d = op({batchNorm4d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from '../backends/backend';\nimport {ENGINE} from '../engine';\nimport {BroadcastTo, BroadCastToAttrs, BroadcastToInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Broadcast an array to a compatible shape NumPy-style.\n *\n * The tensor's shape is compared to the broadcast shape from end to beginning.\n * Ones are prepended to the tensor's shape until is has the same length as\n * the broadcast shape. If input.shape[i]==shape[i], the (i+1)-th axis is\n * already broadcast-compatible. If input.shape[i]==1 and shape[i]==N, then\n * the input tensor is tiled N times along that axis (using tf.tile).\n *\n * @param input The tensor that is to be broadcasted.\n * @param shape The input is to be broadcast to this shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction broadcastTo_<R extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R]): Tensor<R> {\n  let input = convertToTensor(x, 'broadcastTo', 'x');\n  const xShape = input.shape;\n\n  if (shape.some(d => !(d > 0) || d % 1 !== 0)) {\n    throw new Error(`broadcastTo(): Invalid broadcast shape [${shape}].`);\n  }\n\n  if (shape.length < input.rank) {\n    throw new Error(`broadcastTo(): shape.length=${shape.length} < input.rank=${\n        input.rank}.`);\n  }\n\n  if (shape.length > input.rank) {\n    const newShape = input.shape.slice();\n    while (newShape.length < shape.length) {\n      newShape.unshift(1);\n    }\n    input = input.reshape(newShape);\n  }\n\n  const inputShape = input.shape;\n  const reps: number[] = Array.from(shape);\n  for (let i = shape.length - 1; i >= 0; i--) {\n    if (inputShape[i] === shape[i]) {\n      reps[i] = 1;\n    } else if (input.shape[i] !== 1) {\n      throw new Error(\n          `broadcastTo(): [${xShape}] cannot be broadcast to [${shape}].`);\n    }\n  }\n  const axes = reps.map((n, i) => n > 1 ? i : -1).filter(i => i >= 0);\n\n  if (axes.length === 0) {\n    return input.clone() as Tensor<R>;\n  }\n\n  const forward = (backend: KernelBackend) => backend.tile(input, reps);\n  const keepDims = true;\n  const backward = (dy: Tensor) => ({x: () => dy.sum(axes, keepDims)});\n\n  const inputs: BroadcastToInputs = {x: input};\n  const attrs: BroadCastToAttrs = {shape, inputShape};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as unknown as NamedTensorMap, backward,\n             BroadcastTo, attrs as unknown as NamedAttrMap) as Tensor<R>;\n}\n\nexport const broadcastTo = op({broadcastTo_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Identity} from '../kernel_names';\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Creates a new tensor with the same values and shape as the specified\n * tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n *\n * x.clone().print();\n * ```\n *\n * @param x The tensor to clone.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction clone_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'clone', null);\n  const forward = () =>\n      ENGINE.makeTensorFromDataId($x.dataId, $x.shape, $x.dtype) as T;\n\n  // Note this op is called tf.identity in python. Hence the kernel name used\n  // here.\n  return ENGINE.runKernelFunc(forward, {x: $x}, null /* grad */, Identity);\n}\n\nexport const clone = op({clone_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {whereImpl} from '../backends/where_impl';\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of `NOT x` element-wise.\n *\n * ```js\n * const a = tf.tensor1d([false, true], 'bool');\n *\n * a.logicalNot().print();\n * ```\n *\n * @param x The input tensor. Must be of dtype 'bool'.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalNot_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logicalNot', 'bool');\n  return ENGINE.runKernelFunc(backend => backend.logicalNot($x), {$x});\n}\n\n/**\n * Returns the truth value of `a AND b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalAnd(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalAnd_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalAnd', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalAnd', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.logicalAnd($a, $b), {a: $a, b: $b},\n             null /* grad */, 'LogicalAnd') as T;\n}\n\n/**\n * Returns the truth value of `a OR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalOr(b).print();\n * ```\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalOr_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalOr', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalOr', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.logicalOr($a, $b), {$a, $b}) as\n      T;\n}\n\n/**\n * Returns the truth value of `a XOR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalXor(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalXor_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalXor', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalXor', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  // x ^ y = (x | y) & ~(x & y)\n  return logicalOr(a, b).logicalAnd(logicalAnd(a, b).logicalNot()) as T;\n}\n\n/**\n * Returns the elements, either `a` or `b` depending on the `condition`.\n *\n * If the condition is true, select from `a`, otherwise select from `b`.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const a = tf.tensor1d([1 , 2, 3]);\n * const b = tf.tensor1d([-1, -2, -3]);\n *\n * a.where(cond, b).print();\n * ```\n *\n * @param condition The input condition. Must be of dtype bool.\n * @param a If `condition` is rank 1, `a` may have a higher rank but\n *     its first dimension must match the size of `condition`.\n * @param b A tensor with the same shape and type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction where_<T extends Tensor>(\n    condition: Tensor|TensorLike, a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'where');\n  const $b = convertToTensor(b, 'b', 'where');\n  const $condition = convertToTensor(condition, 'condition', 'where', 'bool');\n\n  assertShapesMatch($a.shape, $b.shape, 'Error in where: ');\n\n  if ($condition.rank === 1) {\n    // If condition rank is 1, then the first dimension must match the size of\n    // condition.\n    assert(\n        $condition.shape[0] === $a.shape[0],\n        () => 'The first dimension of `a` must match the size of `condition`.');\n  } else {\n    // A must have the same shape as condition.\n    assertShapesMatch($condition.shape, $b.shape, 'Error in where: ');\n  }\n\n  // TODO(julianoks): Return null for condition gradient\n  // when backprop supports it.\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$condition] = saved;\n    return {\n      $condition: () => zerosLike($condition).toFloat(),\n      $a: () => dy.mul($condition.cast(dy.dtype)),\n      $b: () => dy.mul($condition.logicalNot().cast(dy.dtype))\n    } as {$a: () => T, $b: () => T, $condition: () => T};\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.select($condition, $a, $b);\n    save([$condition]);\n    return res;\n  }, {$condition, $a, $b}, grad) as T;\n}\n\n/**\n * Returns the coordinates of true elements of condition.\n *\n * The coordinates are returned in a 2-D tensor where the first dimension (rows)\n * represents the number of true elements, and the second dimension (columns)\n * represents the coordinates of the true elements. Keep in mind, the shape of\n * the output tensor can vary depending on how many true values there are in\n * input. Indices are output in row-major order. The resulting tensor has the\n * shape `[numTrueElems, condition.rank]`.\n *\n * This is analogous to calling the python `tf.where(cond)` without an x or y.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const result = await tf.whereAsync(cond);\n * result.print();\n * ```\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nasync function whereAsync_(condition: Tensor|TensorLike): Promise<Tensor2D> {\n  const $condition =\n      convertToTensor(condition, 'condition', 'whereAsync', 'bool');\n  const vals = await $condition.data();\n  const res = whereImpl($condition.shape, vals);\n  if (condition !== $condition) {\n    $condition.dispose();\n  }\n  return res;\n}\n\nexport const logicalAnd = op({logicalAnd_});\nexport const logicalNot = op({logicalNot_});\nexport const logicalOr = op({logicalOr_});\nexport const logicalXor = op({logicalXor_});\nexport const where = op({where_});\nexport const whereAsync = whereAsync_;\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {div} from './div';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting. Return 0\n * if denominator is 0.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n * const c = tf.tensor1d([0, 0, 0, 0]);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n * const c = tf.scalar(0);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction divNoNan_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  // TODO: Make this into its own kernel.\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const divResult = div($a, $b);\n  const zeros = zerosLike(divResult);\n  const bEqualsZero = $b.equal(zeros);\n  return where(bEqualsZero, zeros, divResult) as T;\n}\n\nexport const divNoNan = op({divNoNan_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tile, TileAttrs, TileInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {DataType, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Construct a tensor by repeating it the number of times given by reps.\n *\n * This operation creates a new tensor by replicating `input` `reps`\n * times. The output tensor's i'th dimension has `input.shape[i] *\n * reps[i]` elements, and the values of `input` are replicated\n * `reps[i]` times along the i'th dimension. For example, tiling\n * `[a, b, c, d]` by `[2]` produces `[a, b, c, d, a, b, c, d]`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n *\n * a.tile([2]).print();    // or a.tile([2])\n * ```\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.tile([1, 2]).print();  // or a.tile([1, 2])\n * ```\n * @param x The tensor to tile.\n * @param reps Determines the number of replications per dimension.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction tile_<T extends Tensor>(x: T|TensorLike, reps: number[]): T {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'tile', parseAs);\n  util.assert(\n      $x.rank === reps.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of reps ${reps}.`);\n\n  const forward: ForwardFunc<T> = (backend, save) => {\n    const res = backend.tile($x, reps);\n    save([$x]);\n    return res;\n  };\n\n  const inputsToSave = [$x];\n  const inputs: TileInputs = {x: $x};\n  const attrs: TileAttrs = {reps};\n\n  return ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, Tile,\n      attrs as unknown as NamedAttrMap, inputsToSave);\n}\n\nexport const tile = op({tile_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor2D} from '../tensor';\nimport {DataType} from '../types';\n\nimport {buffer, expandDims} from './array_ops';\nimport {op} from './operation';\nimport {tile} from './tile';\n\n/**\n * Create an identity matrix.\n *\n * @param numRows Number of rows.\n * @param numColumns Number of columns. Defaults to `numRows`.\n * @param batchShape If provided, will add the batch shape to the beginning\n *   of the shape of the returned `tf.Tensor` by repeating the identity\n *   matrix.\n * @param dtype Data type.\n * @returns Identity matrix of the specified size and data type, possibly\n *   with batch repetition if `batchShape` is specified.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction eye_(\n    numRows: number, numColumns?: number,\n    batchShape?:\n        [\n          number\n        ]|[number,\n           number]|[number, number, number]|[number, number, number, number],\n    dtype: DataType = 'float32'): Tensor2D {\n  if (numColumns == null) {\n    numColumns = numRows;\n  }\n  const buff = buffer([numRows, numColumns], dtype);\n  const n = numRows <= numColumns ? numRows : numColumns;\n  for (let i = 0; i < n; ++i) {\n    buff.set(1, i, i);\n  }\n  const out = buff.toTensor().as2D(numRows, numColumns);\n  if (batchShape == null) {\n    return out;\n  } else {\n    if (batchShape.length === 1) {\n      return tile(expandDims(out, 0), [batchShape[0], 1, 1]);\n    } else if (batchShape.length === 2) {\n      return tile(\n          expandDims(expandDims(out, 0), 0),\n          [batchShape[0], batchShape[1], 1, 1]);\n    } else if (batchShape.length === 3) {\n      return tile(\n          expandDims(expandDims(expandDims(out, 0), 0), 0),\n          [batchShape[0], batchShape[1], batchShape[2], 1, 1]);\n    } else {\n      throw new Error(\n          `eye() currently supports only 1D and 2D ` +\n          // tslint:disable-next-line:no-any\n          `batchShapes, but received ${(batchShape as any).length}D.`);\n    }\n  }\n}\n\nexport const eye = op({eye_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with values drawn from a multinomial distribution.\n *\n * ```js\n * const probs = tf.tensor([.75, .25]);\n * tf.multinomial(probs, 3).print();\n * ```\n *\n * @param logits 1D array with unnormalized log-probabilities, or\n *     2D array of shape `[batchSize, numOutcomes]`. See the `normalized`\n *     parameter.\n * @param numSamples Number of samples to draw for each row slice.\n * @param seed The seed number.\n * @param normalized Whether the provided `logits` are normalized true\n *     probabilities (sum to 1). Defaults to false.\n * @return 1D array of shape `[numSamples]`, or 2D array of shape\n *     `[batchSize, numSamples]`, depending on the rank of the input.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction multinomial_(\n    logits: Tensor1D|Tensor2D|TensorLike, numSamples: number, seed?: number,\n    normalized = false): Tensor1D|Tensor2D {\n  const $logits = convertToTensor(logits, 'logits', 'multinomial');\n  const numOutcomes = $logits.size;\n  const origRank = $logits.rank;\n  if (numOutcomes < 2) {\n    throw new Error(\n        `Error in multinomial: you need at least 2 outcomes, but got ` +\n        `${numOutcomes}.`);\n  }\n  if (origRank > 2) {\n    throw new Error(`Rank of probabilities must be 1 or 2, but is ${origRank}`);\n  }\n  seed = seed || Math.random();\n  const logits2D = origRank === 1 ? $logits.as2D(1, -1) : $logits as Tensor2D;\n  const res = ENGINE.runKernelFunc(\n      backend => backend.multinomial(logits2D, normalized, numSamples, seed),\n      {logits2D});\n  return origRank === 1 ? res.as1D() : res;\n}\n\nexport const multinomial = op({multinomial_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {OneHot, OneHotAttrs, OneHotInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Creates a one-hot `tf.Tensor`. The locations represented by `indices` take\n * value `onValue` (defaults to 1), while all other locations take value\n * `offValue` (defaults to 0). If `indices` is rank `R`, the output has rank\n * `R+1` with the last axis of size `depth`.\n *\n * ```js\n * tf.oneHot(tf.tensor1d([0, 1], 'int32'), 3).print();\n * ```\n *\n * @param indices `tf.Tensor` of indices with dtype `int32`.\n * @param depth The depth of the one hot dimension.\n * @param onValue A number used to fill in the output when the index matches\n * the location.\n * @param offValue A number used to fill in the output when the index does\n *     not match the location.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction oneHot_(\n    indices: Tensor|TensorLike, depth: number, onValue = 1,\n    offValue = 0): Tensor {\n  if (depth < 2) {\n    throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);\n  }\n  let $indices = convertToTensor(indices, 'indices', 'oneHot', 'int32');\n  const outShape = [...$indices.shape, depth];\n  $indices = $indices.flatten();\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    save([$indices]);\n    return backend.oneHot($indices as Tensor1D, depth, onValue, offValue);\n  };\n\n  const inputs: OneHotInputs = {indices: $indices};\n  const attrs: OneHotAttrs = {depth, onValue, offValue};\n\n  const result = ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, OneHot,\n      attrs as unknown as NamedAttrMap);\n  return result.reshape(outShape);\n}\n\nexport const oneHot = op({oneHot_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {PadV2, PadV2Attrs, PadV2Inputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Pads a `tf.Tensor` with a given value and paddings.\n *\n * This operation currently only implements the `CONSTANT` mode.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `paddings` is of given length.\n *   - `tf.pad1d`\n *   - `tf.pad2d`\n *   - `tf.pad3d`\n *   - `tf.pad4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.pad([[1, 2]]).print();\n * ```\n * @param x The tensor to pad.\n * @param paddings An array of length `R` (the rank of the tensor), where\n * each element is a length-2 tuple of ints `[padBefore, padAfter]`,\n * specifying how much to pad along each dimension of the tensor.\n * @param constantValue The pad value to use. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction pad_<T extends Tensor>(\n    x: T|TensorLike, paddings: Array<[number, number]>, constantValue = 0): T {\n  const $x = convertToTensor(x, 'x', 'pad');\n  if ($x.rank === 0) {\n    throw new Error('pad(scalar) is not defined. Pass non-scalar to pad');\n  }\n  const forward: ForwardFunc<T> = (backend, save) => {\n    save([$x]);\n    return backend.pad($x, paddings, constantValue);\n  };\n\n  const attrs: PadV2Attrs = {paddings, constantValue};\n  const inputs: PadV2Inputs = {x: $x};\n  return ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, PadV2,\n      attrs as unknown as NamedAttrMap);\n}\n\nexport const pad = op({pad_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor1D` with a given value and paddings. See `pad` for details.\n */\nfunction pad1d_(\n    x: Tensor1D|TensorLike, paddings: [number, number],\n    constantValue = 0): Tensor1D {\n  assert(\n      paddings.length === 2,\n      () => 'Invalid number of paddings. Must be length of 2.');\n  return pad(x, [paddings], constantValue);\n}\n\nexport const pad1d = op({pad1d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor2D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor2D` with a given value and paddings. See `pad` for details.\n */\nfunction pad2d_(\n    x: Tensor2D|TensorLike, paddings: [[number, number], [number, number]],\n    constantValue = 0): Tensor2D {\n  assert(\n      paddings.length === 2 && paddings[0].length === 2 &&\n          paddings[1].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad2d = op({pad2d_});\n","import {Tensor3D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor3D` with a given value and paddings. See `pad` for details.\n */\nfunction pad3d_(\n    x: Tensor3D|TensorLike,\n    paddings: [[number, number], [number, number], [number, number]],\n    constantValue = 0): Tensor3D {\n  assert(\n      paddings.length === 3 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad3d = op({pad3d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor4D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor4D` with a given value and paddings. See `pad` for details.\n */\nfunction pad4d_(\n    x: Tensor4D|TensorLike,\n    paddings:\n        [\n          [number, number], [number, number], [number, number], [number, number]\n        ],\n    constantValue = 0): Tensor4D {\n  assert(\n      paddings.length === 4 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2 &&\n          paddings[3].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad4d = op({pad4d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a random number generator\n * function defined by the user.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param randFunction A random number generator function which is called\n * for each element in the output tensor.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\nfunction rand_<R extends Rank>(\n    shape: ShapeMap[R], randFunction: () => number,\n    dtype?: DataType): Tensor<R> {\n  const size = sizeFromShape(shape);\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  for (let i = 0; i < size; i++) {\n    values[i] = randFunction();\n  }\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\nexport const rand = op({rand_});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {inferShape} from './tensor_util_env';\nimport {RecursiveArray, TensorLike, TypedArray} from './types';\nimport {arraysEqual, flatten, isString, isTypedArray} from './util';\n\nconst TEST_EPSILON_FLOAT32 = 1e-3;\nexport const TEST_EPSILON_FLOAT16 = 1e-1;\n\nexport function expectArraysClose(\n    actual: TypedArray|number|RecursiveArray<number>,\n    expected: TypedArray|number|RecursiveArray<number>, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, epsilon));\n}\n\nexport function testEpsilon() {\n  return ENGINE.backend.floatPrecision() === 32 ? TEST_EPSILON_FLOAT32 :\n                                                  TEST_EPSILON_FLOAT16;\n}\n\nfunction expectArraysPredicate(\n    actual: TensorLike, expected: TensorLike,\n    predicate: (a: {}, b: {}) => boolean) {\n  let checkClassType = true;\n  if (isTypedArray(actual) || isTypedArray(expected)) {\n    checkClassType = false;\n  }\n  if (isTypedArray(actual) && isTypedArray(expected)) {\n    checkClassType = true;\n  }\n  if (checkClassType) {\n    const aType = actual.constructor.name;\n    const bType = expected.constructor.name;\n\n    if (aType !== bType) {\n      throw new Error(\n          `Arrays are of different type. Actual: ${aType}. ` +\n          `Expected: ${bType}`);\n    }\n  }\n\n  if (Array.isArray(actual) && Array.isArray(expected)) {\n    const actualShape = inferShape(actual);\n    const expectedShape = inferShape(expected);\n    if (!arraysEqual(actualShape, expectedShape)) {\n      throw new Error(\n          `Arrays have different shapes. ` +\n          `Actual: [${actualShape}]. Expected: [${expectedShape}]`);\n    }\n  }\n\n  const actualFlat =\n      isTypedArray(actual) ? actual : flatten(actual as RecursiveArray<number>);\n  const expectedFlat = isTypedArray(expected) ?\n      expected :\n      flatten(expected as RecursiveArray<number>);\n\n  if (actualFlat.length !== expectedFlat.length) {\n    throw new Error(\n        `Arrays have different lengths actual: ${actualFlat.length} vs ` +\n        `expected: ${expectedFlat.length}.\\n` +\n        `Actual:   ${actualFlat}.\\n` +\n        `Expected: ${expectedFlat}.`);\n  }\n  for (let i = 0; i < expectedFlat.length; ++i) {\n    const a = actualFlat[i];\n    const e = expectedFlat[i];\n\n    if (!predicate(a, e)) {\n      throw new Error(\n          `Arrays differ: actual[${i}] = ${a}, expected[${i}] = ${e}.\\n` +\n          `Actual:   ${actualFlat}.\\n` +\n          `Expected: ${expectedFlat}.`);\n    }\n  }\n}\n\nexport interface DoneFn {\n  (): void;\n  fail: (message?: Error|string) => void;\n}\n\nexport function expectPromiseToFail(fn: () => Promise<{}>, done: DoneFn): void {\n  fn().then(() => done.fail(), () => done());\n}\n\nexport function expectArraysEqual(actual: TensorLike, expected: TensorLike) {\n  const exp = typeof expected === 'string' || typeof expected === 'number' ||\n          typeof expected === 'boolean' ?\n      [expected] as number[] :\n      expected as number[];\n  if (isString(actual) || isString((actual as string[])[0]) ||\n      isString(expected) || isString((expected as string[])[0])) {\n    // tslint:disable-next-line: triple-equals\n    return expectArraysPredicate(actual, exp, (a, b) => a == b);\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, 0));\n}\n\nexport function expectNumbersClose(a: number, e: number, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  if (!areClose(a, e, epsilon)) {\n    throw new Error(`Numbers differ: actual === ${a}, expected === ${e}`);\n  }\n}\n\nfunction areClose(a: number, e: number, epsilon: number): boolean {\n  if (!isFinite(a) && !isFinite(e)) {\n    return true;\n  }\n  if (isNaN(a) || isNaN(e) || Math.abs(a - e) > epsilon) {\n    return false;\n  }\n  return true;\n}\n\nexport function expectValuesInRange(\n    actual: TypedArray|number[], low: number, high: number) {\n  for (let i = 0; i < actual.length; i++) {\n    if (actual[i] < low || actual[i] > high) {\n      throw new Error(\n          `Value out of range:${actual[i]} low: ${low}, high: ${high}`);\n    }\n  }\n}\n\nexport function expectArrayBuffersEqual(\n    actual: ArrayBuffer, expected: ArrayBuffer) {\n  // Safari & Jasmine don't like comparing ArrayBuffers directly. Wrapping in\n  // a Float32Array solves this issue.\n  expect(new Float32Array(actual)).toEqual(new Float32Array(expected));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {expectNumbersClose, testEpsilon} from '../test_util';\nimport {TypedArray} from '../types';\n\nexport interface RandomBase {\n  nextValue(): number;\n}\n\nexport interface RandomGamma {\n  nextValue(): number;\n}\n\nexport interface RandNormalDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\nexport interface RandGammaDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\n// https://en.wikipedia.org/wiki/Marsaglia_polar_method\nexport class MPRandGauss implements RandomBase {\n  private mean: number;\n  private stdDev: number;\n  private nextVal: number;\n  private dtype?: keyof RandNormalDataTypes;\n  private truncated?: boolean;\n  private upper?: number;\n  private lower?: number;\n  private random: seedrandom.prng;\n\n  constructor(\n      mean: number, stdDeviation: number, dtype?: keyof RandNormalDataTypes,\n      truncated?: boolean, seed?: number) {\n    this.mean = mean;\n    this.stdDev = stdDeviation;\n    this.dtype = dtype;\n    this.nextVal = NaN;\n    this.truncated = truncated;\n    if (this.truncated) {\n      this.upper = this.mean + this.stdDev * 2;\n      this.lower = this.mean - this.stdDev * 2;\n    }\n    const seedValue = seed ? seed : Math.random();\n    this.random = seedrandom.alea(seedValue.toString());\n  }\n\n  /** Returns next sample from a Gaussian distribution. */\n  public nextValue(): number {\n    if (!isNaN(this.nextVal)) {\n      const value = this.nextVal;\n      this.nextVal = NaN;\n      return value;\n    }\n\n    let resultX: number, resultY: number;\n    let isValid = false;\n    while (!isValid) {\n      let v1: number, v2: number, s: number;\n      do {\n        v1 = 2 * this.random() - 1;\n        v2 = 2 * this.random() - 1;\n        s = v1 * v1 + v2 * v2;\n      } while (s >= 1 || s === 0);\n\n      const mul = Math.sqrt(-2.0 * Math.log(s) / s);\n      resultX = this.mean + this.stdDev * v1 * mul;\n      resultY = this.mean + this.stdDev * v2 * mul;\n\n      if (!this.truncated || this.isValidTruncated(resultX)) {\n        isValid = true;\n      }\n    }\n\n    if (!this.truncated || this.isValidTruncated(resultY)) {\n      this.nextVal = this.convertValue(resultY);\n    }\n    return this.convertValue(resultX);\n  }\n\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype == null || this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  /** Returns true if less than 2-standard-deviations from the mean. */\n  private isValidTruncated(value: number): boolean {\n    return value <= this.upper && value >= this.lower;\n  }\n}\n\n// Marsaglia, George, and Wai Wan Tsang. 2000. \"A Simple Method for Generating\n// Gamma Variables.\"\nexport class RandGamma implements RandomGamma {\n  private alpha: number;\n  private beta: number;\n  private d: number;\n  private c: number;\n  private dtype?: keyof RandGammaDataTypes;\n  private randu: seedrandom.prng;\n  private randn: MPRandGauss;\n\n  constructor(\n      alpha: number, beta: number, dtype: keyof RandGammaDataTypes,\n      seed?: number) {\n    this.alpha = alpha;\n    this.beta = 1 / beta;  // convert rate to scale parameter\n    this.dtype = dtype;\n\n    const seedValue = seed ? seed : Math.random();\n    this.randu = seedrandom.alea(seedValue.toString());\n    this.randn = new MPRandGauss(0, 1, dtype, false, this.randu());\n\n    if (alpha < 1) {\n      this.d = alpha + (2 / 3);\n    } else {\n      this.d = alpha - (1 / 3);\n    }\n    this.c = 1 / Math.sqrt(9 * this.d);\n  }\n\n  /** Returns next sample from a gamma distribution. */\n  public nextValue(): number {\n    let x2: number, v0: number, v1: number, x: number, u: number, v: number;\n    while (true) {\n      do {\n        x = this.randn.nextValue();\n        v = 1 + (this.c * x);\n      } while (v <= 0);\n      v *= v * v;\n      x2 = x * x;\n      v0 = 1 - (0.331 * x2 * x2);\n      v1 = (0.5 * x2) + (this.d * (1 - v + Math.log(v)));\n      u = this.randu();\n      if (u < v0 || Math.log(u) < v1) {\n        break;\n      }\n    }\n    v = (1 / this.beta) * this.d * v;\n    if (this.alpha < 1) {\n      v *= Math.pow(this.randu(), 1 / this.alpha);\n    }\n    return this.convertValue(v);\n  }\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n}\n\nexport class UniformRandom implements RandomBase {\n  private min: number;\n  private range: number;\n  private random: seedrandom.prng;\n  private dtype?: keyof RandNormalDataTypes;\n\n  constructor(\n      min = 0, max = 1, dtype?: keyof RandNormalDataTypes,\n      seed?: string|number) {\n    this.min = min;\n    this.range = max - min;\n    this.dtype = dtype;\n    if (seed == null) {\n      seed = Math.random();\n    }\n    if (typeof seed === 'number') {\n      seed = seed.toString();\n    }\n\n    if (!this.canReturnFloat() && this.range <= 1) {\n      throw new Error(\n          `The difference between ${min} - ${max} <= 1 and dtype is not float`);\n    }\n    this.random = seedrandom.alea(seed);\n  }\n\n  /** Handles proper rounding for non floating point numbers. */\n  private canReturnFloat = () =>\n      (this.dtype == null || this.dtype === 'float32');\n\n  private convertValue(value: number): number {\n    if (this.canReturnFloat()) {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  nextValue() {\n    return this.convertValue(this.min + this.range * this.random());\n  }\n}\n\nexport function jarqueBeraNormalityTest(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Jarque%E2%80%93Bera_test\n  const n = values.length;\n  const s = skewness(values);\n  const k = kurtosis(values);\n  const jb = n / 6 * (Math.pow(s, 2) + 0.25 * Math.pow(k - 3, 2));\n  // JB test requires 2-degress of freedom from Chi-Square @ 0.95:\n  // http://www.itl.nist.gov/div898/handbook/eda/section3/eda3674.htm\n  const CHI_SQUARE_2DEG = 5.991;\n  if (jb > CHI_SQUARE_2DEG) {\n    throw new Error(`Invalid p-value for JB: ${jb}`);\n  }\n}\n\nexport function expectArrayInMeanStdRange(\n    actual: TypedArray|number[], expectedMean: number, expectedStdDev: number,\n    epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  const actualMean = mean(actual);\n  expectNumbersClose(actualMean, expectedMean, epsilon);\n  expectNumbersClose(\n      standardDeviation(actual, actualMean), expectedStdDev, epsilon);\n}\n\nfunction mean(values: TypedArray|number[]) {\n  let sum = 0;\n  for (let i = 0; i < values.length; i++) {\n    sum += values[i];\n  }\n  return sum / values.length;\n}\n\nfunction standardDeviation(values: TypedArray|number[], mean: number) {\n  let squareDiffSum = 0;\n  for (let i = 0; i < values.length; i++) {\n    const diff = values[i] - mean;\n    squareDiffSum += diff * diff;\n  }\n  return Math.sqrt(squareDiffSum / values.length);\n}\n\nfunction kurtosis(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Kurtosis\n  const valuesMean = mean(values);\n  const n = values.length;\n  let sum2 = 0;\n  let sum4 = 0;\n  for (let i = 0; i < n; i++) {\n    const v = values[i] - valuesMean;\n    sum2 += Math.pow(v, 2);\n    sum4 += Math.pow(v, 4);\n  }\n  return (1 / n) * sum4 / Math.pow((1 / n) * sum2, 2);\n}\n\nfunction skewness(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Skewness\n  const valuesMean = mean(values);\n  const n = values.length;\n  let sum2 = 0;\n  let sum3 = 0;\n  for (let i = 0; i < n; i++) {\n    const v = values[i] - valuesMean;\n    sum2 += Math.pow(v, 2);\n    sum3 += Math.pow(v, 3);\n  }\n  return (1 / n) * sum3 / Math.pow((1 / (n - 1)) * sum2, 3 / 2);\n}\n\nexport interface RandomBase {\n  nextValue(): number;\n}\n\nexport interface RandomGamma {\n  nextValue(): number;\n}\n\nexport interface RandNormalDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\nexport interface RandGammaDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {RandGamma} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a gamma distribution.\n *\n * ```js\n * tf.randomGamma([2, 2], 1).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param alpha The shape parameter of the gamma distribution.\n * @param beta The inverse scale parameter of the gamma distribution. Defaults\n *     to 1.\n * @param dtype The data type of the output. Defaults to float32.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomGamma_<R extends Rank>(\n    shape: ShapeMap[R], alpha: number, beta = 1,\n    dtype: 'float32'|'int32' = 'float32', seed?: number): Tensor<R> {\n  if (beta == null) {\n    beta = 1;\n  }\n  if (dtype == null) {\n    dtype = 'float32';\n  }\n  if (dtype !== 'float32' && dtype !== 'int32') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const rgamma = new RandGamma(alpha, beta, dtype, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = rgamma.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomGamma = op({randomGamma_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {MPRandGauss} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a normal distribution.\n *\n * ```js\n * tf.randomNormal([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, false /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomNormal = op({randomNormal_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {UniformRandom} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a uniform distribution.\n *\n * The generated values follow a uniform distribution in the range [minval,\n * maxval). The lower bound minval is included in the range, while the upper\n * bound maxval is excluded.\n *\n * ```js\n * tf.randomUniform([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param minval The lower bound on the range of random values to generate.\n *   Defaults to 0.\n * @param maxval The upper bound on the range of random values to generate.\n *   Defaults to 1.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomUniform_<R extends Rank>(\n    shape: ShapeMap[R], minval = 0, maxval = 1, dtype: DataType = 'float32',\n    seed?: number|string): Tensor<R> {\n  const res = buffer(shape, dtype);\n  const random = new UniformRandom(minval, maxval, null, seed);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = random.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomUniform = op({randomUniform_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Computes square of `x` element-wise: `x ^ 2`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.sqrt(2), -1]);\n *\n * x.square().print();  // or tf.square(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction square_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'square');\n  const attrs = {};\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [];\n  return ENGINE.runKernelFunc((backend, save) => {\n    save([$x]);\n    return backend.square($x);\n  }, {x: $x}, null /* grad */, 'Square', attrs, inputsToSave, outputsToSave);\n}\n\nexport const square = op({square_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {SquaredDifference, SquaredDifferenceInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.squaredDifferenceStrict` which has the same signature as\n * this op and asserts that `a` and `b` are the same shape (does not\n * broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * ```js\n * // Broadcast squared difference  a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction squaredDifference_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'squaredDifference');\n  let $b = convertToTensor(b, 'b', 'squaredDifference');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const two = scalar(2);\n    const derA = () => dy.mul($a.sub($b).mul(two));\n    const derB = () => dy.mul($b.sub($a).mul(two));\n    return {a: derA, b: derB};\n  };\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.squaredDifference($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: SquaredDifferenceInputs = {a: $a, b: $b};\n  const attrs = {};\n\n  const inputsToSave = [$a, $b];\n  const outputToSave: boolean[] = [];\n  return ENGINE.runKernelFunc(\n             forward, inputs as unknown as NamedTensorMap, der,\n             SquaredDifference, attrs, inputsToSave, outputToSave) as T;\n}\n\nexport const squaredDifference = op({squaredDifference_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {MPRandGauss} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a truncated normal\n * distribution.\n *\n * ```js\n * tf.truncatedNormal([2, 2]).print();\n * ```\n *\n * The generated values follow a normal distribution with specified mean and\n * standard deviation, except that values whose magnitude is more than 2\n * standard deviations from the mean are dropped and re-picked.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output tensor.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction truncatedNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type $ { dtype }`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, true /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const truncatedNormal = op({truncatedNormal_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of (a != b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.notEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([0, 2, 3]);\n *\n * a.notEqual(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction notEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'notEqual');\n  let $b = convertToTensor(b, 'b', 'notEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  return ENGINE.runKernelFunc(\n             backend => backend.notEqual($a, $b), {a: $a, b: $b},\n             null /* grad */, 'NotEqual') as T;\n}\n\n/**\n * Strict version of `tf.notEqual` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction notEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'notEqualStrict');\n  const $b = convertToTensor(b, 'b', 'notEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in notEqualStrict: ');\n  return $a.notEqual($b);\n}\n\n/**\n * Returns the truth value of (a < b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.less(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction less_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'less');\n  let $b = convertToTensor(b, 'b', 'less');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.less($a, $b), {a: $a, b: $b}, null /* grad */,\n             'Less') as T;\n}\n\n/**\n * Strict version of `tf.less` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction lessStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessStrict');\n  const $b = convertToTensor(b, 'b', 'lessStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessStrict: ');\n  return $a.less($b);\n}\n\n/**\n * Returns the truth value of (a == b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.equalStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.equal(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction equal_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'equal');\n  let $b = convertToTensor(b, 'b', 'equal');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.equal($a, $b), {$a, $b}) as T;\n}\n\nfunction equalStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'equalStrict');\n  const $b = convertToTensor(b, 'b', 'equalStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in equalStrict: ');\n  return $a.equal($b);\n}\n\n/**\n * Returns the truth value of (a <= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.lessEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction lessEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'lessEqual');\n  let $b = convertToTensor(b, 'b', 'lessEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.lessEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, null /* grad */, 'LessEqual') as T;\n}\n\nfunction lessEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessEqualStrict');\n  const $b = convertToTensor(b, 'b', 'lessEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessEqualStrict: ');\n  return $a.lessEqual($b);\n}\n\n/**\n * Returns the truth value of (a > b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greater(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greater_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greater');\n  let $b = convertToTensor(b, 'b', 'greater');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.greater($a, $b), {a: $a, b: $b},\n             null /* grad */, 'Greater') as T;\n}\n\nfunction greaterStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterStrict');\n  const $b = convertToTensor(b, 'b', 'greaterStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterStrict: ');\n  return $a.greater($b);\n}\n\n/**\n * Returns the truth value of (a >= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterEqualStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greaterEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greaterEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greaterEqual');\n  let $b = convertToTensor(b, 'b', 'greaterEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    return {a: () => zerosLike($a), b: () => zerosLike($b)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.greaterEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, grad, 'GreaterEqual') as T;\n}\n\nfunction greaterEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterEqualStrict');\n  const $b = convertToTensor(b, 'b', 'greaterEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterEqualStrict: ');\n  return $a.greaterEqual($b);\n}\n\nexport const equal = op({equal_});\nexport const equalStrict = op({equalStrict_});\nexport const greater = op({greater_});\nexport const greaterEqual = op({greaterEqual_});\nexport const greaterEqualStrict = op({greaterEqualStrict_});\nexport const greaterStrict = op({greaterStrict_});\nexport const less = op({less_});\nexport const lessEqual = op({lessEqual_});\nexport const lessEqualStrict = op({lessEqualStrict_});\nexport const lessStrict = op({lessStrict_});\nexport const notEqual = op({notEqual_});\nexport const notEqualStrict = op({notEqualStrict_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, isInt, parseAxisParam} from '../util';\nimport {expandDims} from './array_ops';\nimport {getUndoAxesPermutation} from './axis_util';\nimport {maximum} from './binary_ops';\nimport {greaterEqual} from './compare';\nimport {logicalAnd, where} from './logical_ops';\nimport {op} from './operation';\nimport {collectGatherOpShapeInfo} from './segment_util';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the sum along segments of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const segmentIds = tf.tensor1d([1, 2, 0, 1], 'int32');\n * const numSegments = 3;\n *\n * x.unsortedSegmentSum(segmentIds, numSegments).print()\n * //or tf.unsortedSegmentSum(x, segmentIds, numSegments)\n * ```\n * @param x The `tf.Tensor` that will be summed along its segments.\n * @param segmentIds A `tf.Tensor1D` whose rank is equal to the rank of `x`'s\n * dimension along the `axis`.  Maps each element of `x` to a segment.\n * @param numSegments The number of distinct `segmentIds`.\n */\n/** @doc {heading: 'Operations', subheading: 'Segment'} */\nfunction unsortedSegmentSum_<T extends Tensor>(\n    x: T|TensorLike, segmentIds: Tensor1D|TensorLike, numSegments: number): T {\n  const $x = convertToTensor(x, 'x', 'unsortedSegmentSum');\n  const $segmentIds =\n      convertToTensor(segmentIds, 'segmentIds', 'unsortedSegmentSum', 'int32');\n  assert(isInt(numSegments), () => 'numSegments must be of dtype int');\n\n  const gradFunc = (dy: T, saved: Tensor[]) => {\n    const [$segmentIds] = saved;\n    const derX = () => {\n      return gatherDropNegatives(dy, $segmentIds as Tensor1D);\n    };\n    return {$x: derX};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.unsortedSegmentSum($x, $segmentIds, numSegments);\n    save([$segmentIds]);\n    return res;\n  }, {$x}, gradFunc) as T;\n}\n\n/**\n * Gather slices from tensor `x`'s axis `axis` according to `indices`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const indices = tf.tensor1d([1, 3, 3], 'int32');\n *\n * x.gather(indices).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const indices = tf.tensor1d([1, 1, 0], 'int32');\n *\n * x.gather(indices).print();\n * ```\n * @param x The input tensor whose slices to be gathered.\n * @param indices The indices of the values to extract.\n * @param axis The axis over which to select values. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction gather_<T extends Tensor>(\n    x: T|TensorLike, indices: Tensor|TensorLike, axis = 0): T {\n  const $x = convertToTensor(x, 'x', 'gather');\n  const $indices = convertToTensor(indices, 'indices', 'gather', 'int32');\n  axis = parseAxisParam(axis, $x.shape)[0];\n  const shapeInfo = collectGatherOpShapeInfo($x, $indices, axis);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$indices] = saved;\n    const derX = () => {\n      const paramsShape = $x.shape;\n      const indicesSize = $indices.size;\n\n      const outerShape = paramsShape.slice(0, axis);\n      const outerDims = outerShape.length;\n      const innerShape = paramsShape.slice(axis, paramsShape.length).slice(1);\n      const innerDims = innerShape.length;\n\n      const outerAxesIndices = arrayRange(0, outerDims);\n      const innerAxesIndices =\n          arrayRange(outerDims + 1, outerDims + 1 + innerDims);\n\n      const valuesShape = arrayConcat([outerShape, [indicesSize], innerShape]);\n\n      const values = dy.reshape(valuesShape);\n      const reshapedIndices = $indices.reshape([indicesSize]);\n\n      const transposeDims =\n          arrayConcat([[outerDims], outerAxesIndices, innerAxesIndices]);\n      const valuesTranspose = values.transpose(transposeDims);\n      let paramsGrad = unsortedSegmentSum(\n          valuesTranspose, reshapedIndices as Tensor1D, $x.shape[axis]);\n\n      const invertTransposeDims = getUndoAxesPermutation(transposeDims);\n      paramsGrad = paramsGrad.transpose(invertTransposeDims);\n\n      return paramsGrad as T;\n    };\n    return {x: derX, indices: () => $indices};\n  };\n  return (ENGINE.runKernelFunc(\n              (backend, save) => {\n                const res = backend.gather($x, $indices.flatten(), axis);\n                save([$indices]);\n                return res;\n              },\n              {x: $x, indices: $indices}, grad, 'Gather', {axis}))\n             .reshape(shapeInfo.outputShape) as T;\n}\n\nfunction arrayRange(start: number, stop: number): number[] {\n  const result = [];\n  for (let i = start; i < stop; ++i) {\n    result.push(i);\n  }\n  return result;\n}\n\nfunction arrayConcat(arrays: number[][]): number[] {\n  const result = [];\n  for (let i = 0; i < arrays.length; ++i) {\n    for (let j = 0; j < arrays[i].length; ++j) {\n      result.push(arrays[i][j]);\n    }\n  }\n  return result;\n}\n\nfunction gatherDropNegatives<T extends Tensor>(x: T, indices: Tensor1D) {\n  // Helper function for unsorted segment ops. Gathers params for\n  // positive segment ids and gathers 0 for inputs with negative segment id.\n  // Mirrors _GatherDropNegatives from tensorflow/python/ops/math_grad.py\n  const zeroClippedIndices = maximum(indices, zerosLike(indices));\n  const gathered = gather(x, zeroClippedIndices as Tensor1D);\n  let isPositive = greaterEqual(indices, scalar(0, 'int32'));\n  const numIters = gathered.rank - isPositive.rank;\n  for (let i = 0; i < numIters; ++i) {\n    isPositive = expandDims(isPositive, i + 1);\n  }\n  isPositive = logicalAnd(isPositive, ones(gathered.shape, 'bool'));\n  const zeroSlice = zerosLike(gathered);\n  return where(isPositive, gathered, zeroSlice);\n}\n\nexport const gather = op({gather_});\nexport const unsortedSegmentSum = op({unsortedSegmentSum_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {whereAsync} from './logical_ops';\nimport {gather} from './segment_ops';\n\n/**\n * Apply boolean mask to tensor.\n *\n * ```js\n * const tensor = tf.tensor2d([1, 2, 3, 4, 5, 6], [3, 2]);\n * const mask = tf.tensor1d([1, 0, 1], 'bool');\n * const result = await tf.booleanMaskAsync(tensor, mask);\n * result.print();\n * ```\n *\n * @param tensor N-D tensor.\n * @param mask K-D boolean tensor, K <= N and K must be known statically.\n * @param axis A 0-D int Tensor representing the axis in tensor to mask from.\n *     By default, axis is 0 which will mask from the first dimension.\n *     Otherwise K + axis <= N.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nasync function booleanMaskAsync_(\n    tensor: Tensor|TensorLike, mask: Tensor|TensorLike,\n    axis?: number): Promise<Tensor> {\n  const $tensor = convertToTensor(tensor, 'tensor', 'boolMask');\n  const $mask = convertToTensor(mask, 'mask', 'boolMask', 'bool');\n\n  const axisFrom = axis == null ? 0 : axis;\n  const maskDim = $mask.rank;\n  const tensorShape = $tensor.shape;\n\n  util.assert(maskDim > 0, () => 'mask cannot be scalar');\n  util.assertShapesMatch(\n      tensorShape.slice(axisFrom, axisFrom + maskDim), $mask.shape,\n      `mask's shape must match the first K dimensions of tensor's shape,`);\n\n  let leadingSize = 1;\n  for (let i = axisFrom; i < axisFrom + maskDim; i++) {\n    leadingSize *= tensorShape[i];\n  }\n  const targetTensorShape =\n      tensorShape.slice(0, axisFrom)\n          .concat([leadingSize], tensorShape.slice(axisFrom + maskDim));\n  const reshapedTensor = $tensor.reshape(targetTensorShape);\n  const reshapedMask = $mask.reshape([-1]);\n  const positivePositions = await whereAsync(reshapedMask);\n  const indices = positivePositions.squeeze([1]);\n\n  const res = gather(reshapedTensor, indices, axisFrom);\n\n  // Ensure no memory leak.\n  if (tensor !== $tensor) {\n    $tensor.dispose();\n  }\n  if (mask !== $mask) {\n    $mask.dispose();\n  }\n  indices.dispose();\n  reshapedTensor.dispose();\n  reshapedMask.dispose();\n  positivePositions.dispose();\n\n  return res;\n}\n\nexport const booleanMaskAsync = booleanMaskAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes a 1D convolution over the input x.\n *\n * @param x The input tensor, of rank 3 or rank 2, of shape\n *     `[batch, width, inChannels]`. If rank 2, batch of 1 is assumed.\n * @param filter The filter, rank 3, of shape\n *     `[filterWidth, inDepth, outDepth]`.\n * @param stride The number of entries by which the filter is moved right at\n *     each step.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from \"NWC\", \"NCW\". Defaults to \"NWC\",\n *     the data is stored in the order of [batch, in_width, in_channels]. Only\n *     \"NWC\" is currently supported.\n * @param dilation The dilation rate in which we sample input values in\n *     atrous convolution. Defaults to `1`. If it is greater than 1, then\n *     stride must be `1`.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv1d_<T extends Tensor2D|Tensor3D>(\n    x: T|TensorLike, filter: Tensor3D|TensorLike, stride: number,\n    pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv1d');\n  const $filter = convertToTensor(filter, 'filter', 'conv1d');\n\n  let x3D = $x as Tensor3D;\n  let reshapedTo3D = false;\n  if ($x.rank === 2) {\n    reshapedTo3D = true;\n    x3D = $x.as3D(1, $x.shape[0], $x.shape[1]);\n  }\n\n  util.assert(\n      x3D.rank === 3,\n      () => `Error in conv1d: input must be rank 3, but got rank ${x3D.rank}.`);\n  util.assert(\n      $filter.rank === 3,\n      () => `Error in conv1d: filter must be rank 3, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv1d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x3D.shape[2] === $filter.shape[1],\n      () => `Error in conv1d: depth of input (${x3D.shape[2]}) must match ` +\n          `input depth for filter ${$filter.shape[1]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(stride, dilation),\n      () => 'Error in conv1D: Either stride or dilation must be 1. ' +\n          `Got stride ${stride} and dilation '${dilation}'`);\n  util.assert(\n      dataFormat === 'NWC',\n      () => `Error in conv1d: got dataFormat of ${\n          dataFormat} but only NWC is currently supported.`);\n\n  const filter4D =\n      $filter.as4D(1, $filter.shape[0], $filter.shape[1], $filter.shape[2]);\n  const input4D = x3D.as4D(x3D.shape[0], 1, x3D.shape[1], x3D.shape[2]);\n  const strides: [number, number] = [1, stride];\n  const dilations: [number, number] = [1, dilation];\n\n  const conv2dDataFormat = 'NHWC';\n\n  const res = conv2d(\n      input4D, filter4D, strides, pad, conv2dDataFormat, dilations,\n      dimRoundingMode);\n\n  if (reshapedTo3D) {\n    return res.as2D(res.shape[2], res.shape[3]) as T;\n  }\n  return res.as3D(res.shape[0], res.shape[2], res.shape[3]) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2d: input must be rank 4, but got rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  util.assert(\n      inDepth === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${inDepth}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D] = saved as [Tensor4D, Tensor4D];\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of conv2D: dilation rates greater than 1 ' +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    return {\n      x: () => conv2dDerInput(x4D.shape, dy, $filter, strides, pad, dataFormat),\n      filter: () =>\n          conv2dDerFilter(x4D, dy, $filter.shape, strides, pad, dataFormat)\n    };\n  };\n\n  const inputsToSave = [$filter, x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2d(x4D, $filter, convInfo);\n    save([$filter, x4D]);\n\n    return res;\n  }, {x: x4D, filter: $filter}, grad, 'Conv2D', convInfo, inputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 2D convolution.\n *\n * @param xShape The shape of the input: [batch, height, width, inDepth].\n * If length of 3, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 4 or rank 3 of shape\n *   `[batch, outHeight, outWidth, outDepth]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction conv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, strides: [number, number]|number,\n    pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape4D = xShape as [number, number, number, number];\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n    xShape4D = [1, xShape[0], xShape[1], xShape[2]];\n  }\n\n  util.assert(\n      xShape4D.length === 4,\n      () =>\n          `Error in conv2dDerInput: inShape must be length 4, but got length ` +\n          `${xShape4D.length}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerInput: dy must be rank 4, but got ` +\n          `rank ${dy4D.rank}`);\n  util.assert(\n      filter.rank === 4,\n      () => `Error in conv2dDerInput: filter must be rank 4, but got ` +\n          `rank ${filter.rank}`);\n  const inDepth = dataFormat === 'NHWC' ? xShape4D[3] : xShape4D[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filter.shape[2],\n      () => `Error in conv2dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[2]}.`);\n  util.assert(\n      outDepth === filter.shape[3],\n      () => `Error in conv2dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[3]}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerInput: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n\n  const grad = (ddx: Tensor4D, saved: Tensor[]) => {\n    const [filter, dy4D] = saved;\n    return {\n      dy4D: () => conv2d(\n          ddx, filter as Tensor4D, strides, pad, dataFormat, dilations,\n          dimRoundingMode),\n      filter: () => conv2dDerFilter(\n          ddx, dy4D as Tensor4D, (filter as Tensor4D).shape, strides, pad,\n          dataFormat, dimRoundingMode)\n    };\n  };\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      xShape4D, filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2dDerInput(dy4D, filter, convInfo);\n    save([filter, dy4D]);\n    return res;\n  }, {dy4D, filter}, grad);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 2D convolution.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     [batch, height, width, inChannels]. If rank 3, batch of 1 is assumed.\n * @param dy The dy image, of rank 4 or rank 3, of shape\n *     [batch, height, width, outDepth]. If rank 3, batch of 1 is assumed.\n * @param filterShape The shape of the filter, length 4,\n *     [filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction conv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2dDerFilter: input must be rank 4, but got shape ` +\n          `${x4D.shape}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerFilter: dy must be rank 4, but got shape ` +\n          `${dy4D.shape}.`);\n  util.assert(\n      filterShape.length === 4,\n      () => `Error in conv2dDerFilter: filterShape must be length 4, but got ` +\n          `${filterShape}.`);\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filterShape[2],\n      () => `Error in conv2dDerFilter: depth of input ${inDepth}) must ` +\n          `match input depth in filter (${filterShape[2]}.`);\n  util.assert(\n      outDepth === filterShape[3],\n      () => `Error in conv2dDerFilter: depth of dy (${outDepth}) must ` +\n          `match output depth for filter (${filterShape[3]}).`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerFilter: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, filterShape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv2dDerFilter(x4D, dy4D, convInfo), {x4D, dy4D});\n}\n\n/**\n * Computes the transposed 2D convolution of an image, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 4 or rank 3, of shape\n *   `[batch, height, width, inDepth]`. If rank 3, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 4 or rank 3:\n *     `[batch, height, width, outDepth]`. If rank 3, batch of 1 is assumed.\n * @param strides The strides of the original convolution:\n *     `[strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n * @param dimRoundingMode The rounding mode used when computing output\n *    dimensions if pad is a number. If none is provided, it will not round\n *    and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2dTranspose_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    outputShape: [number, number, number, number]|[number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv2dTranspose');\n\n  return conv2dDerInput_(\n      outputShape, $x, $filter, strides, pad, 'NHWC', dimRoundingMode);\n}\n\n/**\n * Depthwise 2D convolution.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction depthwiseConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in depthwiseConv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in depthwiseConv2d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in depthwiseConv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [x4D, $filter] = saved;\n    return {\n      x: () => depthwiseConv2dDerInput(\n          (x4D as Tensor4D).shape, dy, $filter as Tensor4D, convInfo),\n      filter: () => depthwiseConv2dDerFilter(\n          x4D as Tensor4D, dy, ($filter as Tensor4D).shape, convInfo),\n    };\n  };\n\n  const inputsToSave = [x4D, $filter];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.depthwiseConv2D(x4D, $filter, convInfo);\n        save([x4D, $filter]);\n        return res;\n      },\n      {x: x4D, filter: $filter}, grad, 'DepthwiseConv2dNative', convInfo,\n      inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * 2-D convolution with separable filters.\n *\n * Performs a depthwise convolution that acts separately on channels followed\n * by a pointwise convolution that mixes channels. Note that this is\n * separability between dimensions [1, 2] and 3, not spatial separability\n * between dimensions 1 and 2.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param depthwiseFilter The depthwise filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`. This is\n *     the filter used in the first step.\n * @param pointwiseFilter The pointwise filter tensor, rank 4, of shape\n *     `[1, 1, inChannels * channelMultiplier, outChannels]`. This is\n *     the filter used in the second step.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction separableConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike,\n    pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n    pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n  const $x = convertToTensor(x, 'x', 'separableConv2d');\n  const $depthwiseFilter =\n      convertToTensor(depthwiseFilter, 'depthwiseFilter', 'separableConv2d');\n  const $pointwiseFilter =\n      convertToTensor(pointwiseFilter, 'pointwiseFilter', 'separableConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n\n  if (dataFormat === 'NCHW') {\n    throw new Error(\n        'separableConv2d currently does not support dataFormat NCHW; only ' +\n        'NHWC is supported');\n  }\n\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in separableConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $depthwiseFilter.rank === 4,\n      () => `Error in separableConv2d: depthwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.rank === 4,\n      () => `Error in separableConv2d: pointwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.shape[0] === 1,\n      () =>\n          `Error in separableConv2d: the first dimension of pointwise filter ` +\n          ` must be 1, but got ${$pointwiseFilter.shape[0]}.`);\n  util.assert(\n      $pointwiseFilter.shape[1] === 1,\n      () => `Error in separableConv2d: the second dimension of pointwise ` +\n          `filter must be 1, but got ${$pointwiseFilter.shape[1]}.`);\n\n  const inChannels = $depthwiseFilter.shape[2];\n  const channelMultiplier = $depthwiseFilter.shape[3];\n  util.assert(\n      $pointwiseFilter.shape[2] === inChannels * channelMultiplier,\n      () =>\n          `Error in separableConv2d: the third dimension of pointwise filter ` +\n          `must be ${inChannels * channelMultiplier}, ` +\n          `but got ${$pointwiseFilter.shape[2]}.`);\n\n  const depthwise = depthwiseConv2d(\n      x4D, $depthwiseFilter, strides, pad, dataFormat, dilation);\n  const pointwiseStride = 1;\n  const res =\n      conv2d(depthwise, $pointwiseFilter, pointwiseStride, 'valid', dataFormat);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction parseTupleParam(\n    param: number|[number, number]|[number, number, number]):\n    [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param;\n}\n\nfunction tupleValuesAreOne(\n    param: number|[number, number]|[number, number, number]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nfunction eitherStridesOrDilationsAreOne(\n    strides: number|[number, number]|[number, number, number],\n    dilations: number|[number, number]|[number, number, number]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\nfunction depthwiseConv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, convInfo: conv_util.Conv2DInfo): T {\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerInput(dy4D, filter, convInfo),\n      {dy4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction depthwiseConv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    convInfo: conv_util.Conv2DInfo): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerFilter(x4D, dy4D, convInfo),\n      {x4D, dy4D});\n}\n\n/**\n * Computes a 3D convolution over the input x.\n *\n * @param x The input tensor, of rank 5 or rank 4, of shape\n *     `[batch, depth, height, width, channels]`. If rank 4,\n * batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inChannels, outChannels]`.\n *      inChannels must match between input and filter.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationDepth, dilationHeight,\n *     dilationWidth]` in which we sample input values across the height\n *     and width dimensions in atrous convolution. Defaults to `[1, 1, 1]`.\n *     If `dilations` is a single number, then\n *     `dilationDepth == dilationHeight == dilationWidth`. If it is greater\n *     than 1, then all values of `strides` must be 1.\n */\n\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    strides: [number, number, number]|number, pad: 'valid'|'same',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations: [number, number, number]|number = [1, 1, 1]): T {\n  const $x = convertToTensor(x, 'x', 'conv3d');\n  const $filter = convertToTensor(filter, 'filter', 'conv3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3d: input must be rank 5, but got rank ${x5D.rank}.`);\n  util.assert(\n      $filter.rank === 5,\n      () => `Error in conv3d: filter must be rank 5, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x5D.shape[4] === $filter.shape[3],\n      () => `Error in conv3d: depth of input (${x5D.shape[4]}) must match ` +\n          `input depth for filter ${$filter.shape[3]}.`);\n  util.assert(\n      eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv3D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in conv3d: got dataFormat of ${\n          dataFormat} but only NDHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, $filter.shape, strides, dilations, pad);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    util.assert(\n        tupleValuesAreOne(dilations),\n        () =>\n            'Error in gradient of conv3D: dilation rates greater than 1 are ' +\n            `not yet supported in gradients. Got dilations '${dilations}'`);\n    const [x5D, $filter] = saved;\n    return {\n      x: () => conv3dDerInput_(\n          (x5D as Tensor5D).shape, dy, $filter as Tensor5D, strides, pad),\n      $filter: () => conv3dDerFilter_(\n          x5D as Tensor5D, dy, ($filter as Tensor5D).shape, strides, pad)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv3d(x5D, $filter, convInfo);\n    save([x5D, $filter]);\n    return res;\n  }, {x: x5D, $filter}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 3D convolution.\n *\n * @param xShape The shape of the input: [batch, depth, height, width,\n * in_channels]. If length of 4, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 5 or rank 4 of shape\n *   `[batch, outDepth, outHeight, outWidth, in_channels]`.\n * If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n */\nfunction conv3dDerInput_<T extends Tensor4D|Tensor5D>(\n    xShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    dy: T, filter: Tensor5D, strides: [number, number, number]|number,\n    pad: 'valid'|'same'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape5D = xShape as [number, number, number, number, number];\n  let dy5D = dy as Tensor5D;\n  let reshapedTo5D = false;\n  if (dy.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n    xShape5D = [1, xShape[0], xShape[1], xShape[2], xShape[3]];\n  }\n\n  const inDepth = xShape5D[4];\n  const outDepth = dy5D.shape[4];\n  util.assert(\n      xShape5D.length === 5,\n      () =>\n          `Error in conv3dDerInput: inShape must be length 5, but got length ` +\n          `${xShape5D.length}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerInput: dy must be rank 5, but got ` +\n          `rank ${dy5D.rank}`);\n  util.assert(\n      filter.rank === 5,\n      () => `Error in conv3dDerInput: filter must be rank 5, but got ` +\n          `rank ${filter.rank}`);\n  util.assert(\n      inDepth === filter.shape[3],\n      () => `Error in conv3dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[3]}.`);\n  util.assert(\n      outDepth === filter.shape[4],\n      () => `Error in conv3dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[4]}.`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      xShape5D, filter.shape, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.conv3dDerInput(dy5D, filter, convInfo), {dy5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 3D convolution.\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     [batch, depth, height, width, inChannels]. If rank 4, batch of 1 is\n *     assumed.\n * @param dy The dy image, of rank 5 or rank 4, of shape\n *     [batch, depth, height, width, outDepth]. If rank 4, batch of 1 is\n *     assumed.\n * @param filterShape The shape of the filter, length 5,\n *     [filterDepth, filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideDepth, strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction conv3dDerFilter_<T extends Tensor4D|Tensor5D>(\n    x: T, dy: T, filterShape: [number, number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): Tensor5D {\n  let x5D = x as Tensor5D;\n  if (x.rank === 4) {\n    x5D = x.as5D(1, x.shape[0], x.shape[1], x.shape[2], x.shape[3]);\n  }\n  let dy5D = dy as Tensor5D;\n  if (dy5D.rank === 4) {\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3dDerFilter: input must be rank 5, but got shape ` +\n          `${x5D.shape}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerFilter: dy must be rank 5, but got shape ` +\n          `${dy5D.shape}.`);\n  util.assert(\n      filterShape.length === 5,\n      () => `Error in conv3dDerFilter: filterShape must be length 5, but got ` +\n          `${filterShape}.`);\n  util.assert(\n      x5D.shape[4] === filterShape[3],\n      () => `Error in conv3dDerFilter: depth of input ${x5D.shape[4]}) must ` +\n          `match input depth in filter (${filterShape[3]}.`);\n  util.assert(\n      dy5D.shape[4] === filterShape[4],\n      () => `Error in conv3dDerFilter: depth of dy (${dy5D.shape[4]}) must ` +\n          `match output depth for filter (${filterShape[4]}).`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, filterShape, strides, dilations, pad);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv3dDerFilter(x5D, dy5D, convInfo), {x5D, dy5D});\n}\n\n/**\n * Computes the transposed 3D convolution of a volume, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 5 or rank 4, of shape\n *   `[batch, depth, height, width, inDepth]`. If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[depth, filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 5 or rank 4:\n *     `[batch, depth, height, width, outDepth]`. If rank 3, batch of 1 is\n *    assumed.\n * @param strides The strides of the original convolution:\n *     `[strideDepth, strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3dTranspose_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    outputShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): T {\n  const $x = convertToTensor(x, 'x', 'conv3dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv3dTranspose');\n\n  return conv3dDerInput_(outputShape, $x, $filter, strides, pad);\n}\n\nexport const conv1d = op({conv1d_});\nexport const conv2d = op({conv2d_});\nexport const conv3d = op({conv3d_});\nexport const conv2dDerFilter = op({conv2dDerFilter_});\nexport const conv2dDerInput = op({conv2dDerInput_});\nexport const depthwiseConv2d = op({depthwiseConv2d_});\nexport const depthwiseConv2dDerInput = op({depthwiseConv2dDerInput_});\nexport const depthwiseConv2dDerFilter = op({depthwiseConv2dDerFilter_});\nexport const separableConv2d = op({separableConv2d_});\nexport const conv2dTranspose = op({conv2dTranspose_});\nexport const conv3dTranspose = op({conv3dTranspose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Computes the dot product of two matrices, A * B. These must be matrices.\n *\n * ```js\n * const a = tf.tensor2d([1, 2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.matMul(b).print();  // or tf.matMul(a, b)\n * ```\n * @param a First matrix in dot product operation.\n * @param b Second matrix in dot product operation.\n * @param transposeA If true, `a` is transposed before multiplication.\n * @param transposeB If true, `b` is transposed before multiplication.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction matMul_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike, transposeA = false,\n    transposeB = false): T {\n  let $a = convertToTensor(a, 'a', 'matMul');\n  let $b = convertToTensor(b, 'b', 'matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () => `Error in matMul: inputs must have the same rank of at least 2, ` +\n          `got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D] = saved as Tensor3D[];\n    if (!transposeA && !transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, true),\n        b: () => a3D.matMul(dy, true, false)\n      };\n    } else if (!transposeA && transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, false),\n        b: () => dy.matMul(a3D, true, false)\n      };\n    } else if (transposeA && !transposeB) {\n      return {\n        a: () => b3D.matMul(dy, false, true),\n        b: () => a3D.matMul(dy, false, false)\n      };\n    } else {\n      return {\n        a: () => b3D.matMul(dy, true, true),\n        b: () => dy.matMul(a3D, true, true)\n      };\n    }\n  };\n\n  const attrs = {transposeA, transposeB};\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.batchMatMul(a3D, b3D, transposeA, transposeB);\n    save([a3D, b3D]);\n    return res;\n  }, {a: a3D, b: b3D}, grad, 'BatchMatMul', attrs);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes the outer product of two vectors, `v1` and `v2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([3, 4, 5]);\n *\n * tf.outerProduct(a, b).print();\n * ```\n * @param v1 The first vector in the outer product operation.\n * @param v2 The second vector in the outer product operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction outerProduct_(\n    v1: Tensor1D|TensorLike, v2: Tensor1D|TensorLike): Tensor2D {\n  const $v1 = convertToTensor(v1, 'v1', 'outerProduct');\n  const $v2 = convertToTensor(v2, 'v2', 'outerProduct');\n\n  util.assert(\n      $v1.rank === 1 && $v2.rank === 1,\n      () => `Error in outerProduct: inputs must be rank 1, but got ranks ` +\n          `${$v1.rank} and ${$v2.rank}.`);\n\n  return $v1.as2D(-1, 1).matMul($v2.as2D(1, -1));\n}\n\n/**\n * Computes the dot product of two matrices and/or vectors, `t1` and `t2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor2d([[1, 2], [3, 4]]);\n * const c = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n *\n * a.dot(b).print();  // or tf.dot(a, b)\n * b.dot(a).print();\n * b.dot(c).print();\n * ```\n * @param t1 The first tensor in the dot operation.\n * @param t2 The second tensor in the dot operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction dot_(t1: Tensor|TensorLike, t2: Tensor|TensorLike): Tensor {\n  const $t1 = convertToTensor(t1, 't1', 'dot');\n  const $t2 = convertToTensor(t2, 't2', 'dot');\n  util.assert(\n      ($t1.rank === 1 || $t1.rank === 2) && ($t2.rank === 1 || $t2.rank === 2),\n      () => `Error in dot: inputs must all be rank 1 or 2, but got ranks ` +\n          `${$t1.rank} and ${$t2.rank}.`);\n\n  const t1Inner = ($t1.rank === 1 ? $t1.size : $t1.shape[1]);\n  const t2Inner = ($t2.rank === 1 ? $t2.size : $t2.shape[0]);\n\n  util.assert(\n      t1Inner === t2Inner,\n      () => `Error in dot: inner dimensions of inputs must match, but got ` +\n          `${t1Inner} and ${t2Inner}.`);\n\n  if ($t1.rank === 1 && $t2.rank === 1) {\n    return $t1.as2D(1, -1).matMul($t2.as2D(-1, 1)).asScalar();\n  } else if ($t1.rank === 1 && $t2.rank === 2) {\n    return $t1.as2D(1, -1).matMul($t2.as2D($t2.shape[0], $t2.shape[1])).as1D();\n  } else if ($t1.rank === 2 && $t2.rank === 1) {\n    return $t1.matMul($t2.as2D(-1, 1)).as1D();\n  } else {\n    return $t1.matMul($t2.as2D($t2.shape[0], $t2.shape[1]));\n  }\n}\n\nexport const matMul = op({matMul_});\nexport const dot = op({dot_});\nexport const outerProduct = op({outerProduct_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Reverses a `tf.Tensor1D`.\n *\n * @param x The input tensor.\n */\nfunction reverse1d_(x: Tensor1D|TensorLike): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 1,\n      () => `Error in reverse1D: x must be rank 1 but got rank ${$x.rank}.`);\n  return reverse($x, 0);\n}\n\n/**\n * Reverses a `tf.Tensor2D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse2d_(x: Tensor2D|TensorLike, axis?: number|number[]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 2,\n      () => `Error in reverse2D: x must be rank 2 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor3D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse3d_(x: Tensor3D|TensorLike, axis?: number|number[]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 3,\n      () => `Error in reverse3D: x must be rank 3 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor4D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse4d_(x: Tensor4D|TensorLike, axis?: number|number[]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 4,\n      () => `Error in reverse4D: x must be rank 4 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor` along a specified axis.\n *\n * Also available are stricter rank-specific methods that assert that `x` is\n * of the given rank:\n *   - `tf.reverse1d`\n *   - `tf.reverse2d`\n *   - `tf.reverse3d`\n *   - `tf.reverse4d`\n *\n * Except `tf.reverse1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.reverse().print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.reverse(axis).print();\n * ```\n * @param x The input tensor to be reversed.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction reverse_<T extends Tensor>(\n    x: T|TensorLike, axis?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'reverse');\n\n  if ($x.rank === 0) {\n    return $x.clone();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const grad = (dy: T) => {\n    return {$x: () => dy.reverse(axes)};\n  };\n  const res =\n      ENGINE.runKernelFunc(backend => backend.reverse($x, axes), {$x}, grad);\n  return res.reshapeAs($x);\n}\n\nexport const reverse = op({reverse_});\nexport const reverse1d = op({reverse1d_});\nexport const reverse2d = op({reverse2d_});\nexport const reverse3d = op({reverse3d_});\nexport const reverse4d = op({reverse4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchToSpaceND, spaceToBatchND} from './array_ops';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction maxPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'maxPool');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in maxPool: input must be rank 4 but got rank ${x4D.rank}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x: () => maxPoolBackprop(\n          dy, x4D as Tensor4D, y as Tensor4D, filterSize, strides, dilations,\n          pad)\n    };\n  };\n\n  const inputsToSave = [x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool(x4D, convInfo);\n    save([x4D, y]);\n    return y;\n  }, {x: x4D}, grad, 'MaxPool', convInfo, inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return maxPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction avgPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'avgPool', 'float32');\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in avgPool: x must be rank 4 but got rank ${x4D.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D) => {\n    return {\n      x: () => avgPoolBackprop(dy, x4D, filterSize, strides, dilations, pad)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool(x4D, convInfo), {x: x4D}, grad, 'AvgPool',\n      convInfo);\n  res = res.cast($x.dtype);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return avgPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Performs an N-D pooling operation\n *\n * @param input The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param windowShape The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param poolingType The type of pooling, either 'max' or 'avg'.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilationRate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction pool_<T extends Tensor3D|Tensor4D>(\n    input: T|TensorLike, windowShape: [number, number]|number,\n    poolingType: 'avg'|'max', pad: 'valid'|'same'|number,\n    dilations?: [number, number]|number, strides?: [number, number]|number) {\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  if (strides == null) {\n    strides = 1;\n  }\n  if (pad === 0) {\n    pad = 'valid';\n  }\n  const $x = convertToTensor(input, 'x', 'maxPool');\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in pool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, windowShape, strides, dilations, pad);\n  const dilation: [number, number] =\n      [convInfo.dilationHeight, convInfo.dilationWidth];\n\n  // The following implementation does batchToSpace(pool(spaceToBatch(x)))\n  // whenever dilation > 1 since the TF kernels do not support dilation > 1.\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L1037\n\n  let basePadding: number[][];\n  if (pad === 'same') {\n    basePadding = withSpaceToBatchBasePaddings(\n        [convInfo.filterHeight, convInfo.filterWidth], dilation);\n  } else {\n    basePadding = [[0, 0], [0, 0]];\n  }\n  const isDilationOne = dilation[0] === 1 && dilation[1] === 1;\n  const [adjustedPadding, adjustedCrops] = requiredSpaceToBatchPaddings(\n      [convInfo.inHeight, convInfo.inWidth], dilation, basePadding);\n  const convertedPad = isDilationOne ? pad : 'valid';\n  const convertedX =\n      isDilationOne ? x4D : spaceToBatchND(x4D, dilation, adjustedPadding);\n  const forwardOp = poolingType === 'avg' ?\n      () => avgPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad) :\n      () => maxPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad);\n  const y = forwardOp();\n  const res = isDilationOne ? y : batchToSpaceND(y, dilation, adjustedCrops);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 2D max pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The original input image, of rank 4, of shape\n *     [batchSize, height, width, channels].\n * @param output The original output image, of rank 4, of shape\n *     [batchSize, outHeight, outWidth, channels].\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPoolBackprop(\n    dy: Tensor4D|TensorLike, input: Tensor4D|TensorLike,\n    output: Tensor4D|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  const $dy = convertToTensor(dy, 'dy', 'maxPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPoolBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy ` +\n          `(${$dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in maxPoolBackProp: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  util.assert(\n      $dy.rank === 4,\n      () => `Error in maxPoolBackprop: dy must be rank 4 but got rank ` +\n          `${$dy.rank}.`);\n  util.assert(\n      $input.rank === 4,\n      () => `Error in maxPoolBackprop: input must be rank 4 but got rank ` +\n          `${$input.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPoolBackprop: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      $input.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPoolBackprop($dy, $input, $output, convInfo),\n      {$dy, $input});\n  return res;\n}\n\n/**\n * Computes the backprop of an 2D avg pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The input image, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction avgPoolBackprop<T extends Tensor3D|Tensor4D>(\n    dy: T|TensorLike, input: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy (${\n          $dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in avgPoolBackprop: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  let input4D = $input as Tensor4D;\n  let dy4D = $dy as Tensor4D;\n  let reshapedTo4D = false;\n  if ($input.rank === 3) {\n    reshapedTo4D = true;\n    input4D = $input.as4D(1, $input.shape[0], $input.shape[1], $input.shape[2]);\n    dy4D = $dy.as4D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2]);\n  }\n\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in avgPoolBackprop: dy must be rank 4 but got rank ` +\n          `${dy4D.rank}.`);\n  util.assert(\n      input4D.rank === 4,\n      () => `Error in avgPoolBackprop: input must be rank 4 but got rank ` +\n          `${input4D.rank}.`);\n\n  const convInfo = conv_util.computePool2DInfo(\n      input4D.shape, filterSize, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPoolBackprop(dy4D, input4D, convInfo),\n      {dy4D, input4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n// Helper function to compute crops and paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/array_ops.py#L2184\nfunction requiredSpaceToBatchPaddings(\n    inputShape: [number, number], blockShape: [number, number],\n    basePadding: number[][]) {\n  const padStart = basePadding.map(b => b[0]);\n  const origPadEnd = basePadding.map(b => b[1]);\n  const fullInputShape = inputShape.concat(padStart, origPadEnd);\n  const padEndExtra = blockShape.map((b, i) => (b - fullInputShape[i] % b) % b);\n  const padEnd = origPadEnd.map((s, i) => s + padEndExtra[i]);\n  const paddings = blockShape.map((_, i) => [padStart[i], padEnd[i]]);\n  const crops = blockShape.map((_, i) => [0, padEndExtra[i]]);\n  return [paddings, crops];\n}\n\n// Helper function to compute base paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L524\nfunction withSpaceToBatchBasePaddings(\n    filterShape: [number, number], dilation: [number, number]) {\n  // Spatial dimensions of the filters and the upsampled filters in which we\n  // introduce (rate - 1) zeros between consecutive filter values.\n  const dilatedFilterShape = filterShape.map((s, i) => {\n    return s + (s - 1) * (dilation[i] - 1);\n  });\n  const padExtraShape = dilatedFilterShape.map(s => s - 1);\n\n  // When padding is odd, we pad more at end, following the same\n  // convention as conv2d.\n  const padExtraStart = padExtraShape.map(s => Math.floor(s / 2));\n  const padExtraEnd = padExtraShape.map((s, i) => s - padExtraStart[i]);\n  return padExtraShape.map((_, i) => {\n    return [padExtraStart[i], padExtraEnd[i]];\n  });\n}\n\n/**\n * Computes the 3D average pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.avgPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number,\n    ): T {\n  const $x = convertToTensor(x, 'x', 'avgPool3d', 'float32');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in avgPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in avgPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D) => {\n    return {\n      x: () => avgPool3dBackprop(\n          dy, x5D, filterSize, strides, dilations, pad, dimRoundingMode)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3d(x5D, convInfo), {x: x5D}, grad);\n  res = res.cast(x5D.dtype);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d avg pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction avgPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in avgPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in avgPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3dBackprop(dy5D, input5D, convInfo),\n      {dy5D, input5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 3D max pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.maxPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number): T {\n  const $x = convertToTensor(x, 'x', 'maxPool3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in maxPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in maxPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    const [x5D, y] = saved;\n    return {\n      x: () => maxPool3dBackprop(\n          dy, x5D as Tensor5D, y as Tensor5D, filterSize, strides, dilations,\n          pad, dimRoundingMode)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool3d(x5D, convInfo);\n    save([x5D, y]);\n    return y;\n  }, {x: x5D}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d max pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank 4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param output The original output image, of rank 5 of shape\n *     [batchSize, outDepth, outHeight, outWidth, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike, output: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'maxPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPool3dBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let output5D = $output as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n    output5D = $output.as5D(\n        1, $output.shape[0], $output.shape[1], $output.shape[2],\n        $output.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in maxPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in maxPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  util.assert(\n      output5D.rank === 5,\n      () => `Error in maxPool3dBackprop: output must be rank 5 but got rank ` +\n          `${output5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPool3dBackprop(dy5D, input5D, output5D, convInfo),\n      {dy5D, input5D});\n\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image with Argmax index.\n * The indices in argmax are flattened, so that a maximum value at position `[b,\n * y, x, c]` becomes flattened index: `(y * width + x) * channels + c` if\n * include_batch_in_index is False; `((b * height + y) * width + x) * channels\n * +c` if include_batch_in_index is True.\n *\n * The indices returned are always in `[0, height) x [0, width)` before\n * flattening.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param includeBatchIndex Defaults to False. Whether to include batch\n *    dimension in flattened index of argmax.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPoolWithArgmax_<T extends Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number,\n    pad: 'valid'|'same'|number, includeBatchInIndex = false): NamedTensorMap {\n  const $x = convertToTensor(x, 'x', 'maxPoolWithArgmax');\n\n  const attrs = {filterSize, strides, pad, includeBatchInIndex};\n\n  const result =\n      ENGINE.runKernel('MaxPoolWithArgmax', {x: $x}, attrs) as Tensor[];\n\n  return {result: result[0], indexes: result[1]};\n}\n\nexport const maxPool = op({maxPool_});\nexport const avgPool = op({avgPool_});\nexport const pool = op({pool_});\nexport const maxPool3d = op({maxPool3d_});\nexport const avgPool3d = op({avgPool3d_});\nexport const maxPoolWithArgmax = op({maxPoolWithArgmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {pad} from './pad';\nimport * as slice_util from './slice_util';\n\n/**\n * Extracts a 1D slice from 1D array starting at coordinates `begin` and is\n * of length `size`. See `slice` for details.\n */\nfunction slice1d_(\n    x: Tensor1D|TensorLike, begin: number, size: number): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'slice1d');\n  util.assert(\n      $x.rank === 1,\n      () =>\n          `slice1d expects a rank-1 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, [begin], [size]);\n}\n\n/**\n * Extracts a 2D slice from a 2D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice2d_(\n    x: Tensor2D|TensorLike, begin: [number, number],\n    size: [number, number]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'slice2d');\n  util.assert(\n      $x.rank === 2,\n      () =>\n          `slice2d expects a rank-2 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 3D slice from a 3D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice3d_(\n    x: Tensor3D|TensorLike, begin: [number, number, number],\n    size: [number, number, number]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'slice3d');\n  util.assert(\n      $x.rank === 3,\n      () =>\n          `slice3d expects a rank-3 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 4D slice from a 4D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice4d_(\n    x: Tensor4D|TensorLike, begin: [number, number, number, number],\n    size: [number, number, number, number]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'slice4d');\n  util.assert(\n      $x.rank === 4,\n      () =>\n          `slice4d expects a rank-4 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a slice from a `tf.Tensor` starting at coordinates `begin`\n * and is of size `size`.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `x` is of the given rank:\n *   - `tf.slice1d`\n *   - `tf.slice2d`\n *   - `tf.slice3d`\n *   - `tf.slice4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.slice([1], [2]).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * x.slice([1, 0], [1, 2]).print();\n * ```\n * @param x The input `tf.Tensor` to slice from.\n * @param begin The coordinates to start the slice from. The length can be\n *     less than the rank of x - the rest of the axes will have implicit 0 as\n *     start. Can also be a single number, in which case it specifies the\n *     first axis.\n * @param size The size of the slice. The length can be less than the rank of\n *     x - the rest of the axes will have implicit -1. A value of -1 requests\n *     the rest of the dimensions in the axis. Can also be a single number,\n *     in which case it specifies the size of the first axis.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction slice_<R extends Rank, T extends Tensor<R>>(\n    x: T|TensorLike, begin: number|number[], size?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'slice');\n\n  if ($x.rank === 0) {\n    throw new Error('Slicing scalar is not possible');\n  }\n  // The following logic allows for more ergonomic calls.\n  let begin_: number[];\n  if (typeof begin === 'number') {\n    begin_ = [begin, ...new Array($x.rank - 1).fill(0)];\n  } else if (begin.length < $x.rank) {\n    begin_ = begin.concat(new Array($x.rank - begin.length).fill(0));\n  } else {\n    begin_ = begin.slice();\n  }\n  begin_.forEach(d => {\n    util.assert(\n        d !== -1, () => 'slice() does not support negative begin indexing.');\n  });\n  let size_: number[];\n  if (size == null) {\n    size_ = new Array($x.rank).fill(-1);\n  } else if (typeof size === 'number') {\n    size_ = [size, ...new Array($x.rank - 1).fill(-1)];\n  } else if (size.length < $x.rank) {\n    size_ = size.concat(new Array($x.rank - size.length).fill(-1));\n  } else {\n    size_ = size;\n  }\n  size_ = size_.map((d, i) => {\n    if (d >= 0) {\n      return d;\n    } else {\n      util.assert(\n          d === -1,\n          () => `Negative size values should be exactly -1 but got ` +\n              `${d} for the slice() size at index ${i}.`);\n      return $x.shape[i] - begin_[i];\n    }\n  });\n  slice_util.assertParamsValid($x, begin_, size_);\n  const inputShape = $x.shape;\n  const grad = (dy: T) => {\n    // Create an Nx2 padding where the first column represents how many\n    // zeros are prepended (at start) for each dimension, and the second\n    // column indicates how many zeros are appended (at end).\n\n    // The number of zeros to append is the shape of the input\n    // elementwise-subtracted by both the begin vector and sizes vector.\n    const paddings: Array<[number, number]> = [];\n    for (let i = 0; i < dy.rank; i++) {\n      paddings.push([begin_[i], inputShape[i] - begin_[i] - size_[i]]);\n    }\n    return {x: () => pad(dy, paddings)};\n  };\n  const attrs = {begin: begin_, size: size_};\n  return ENGINE.runKernelFunc(\n      backend => backend.slice($x, begin_, size_), {x: $x}, grad, 'Slice',\n      attrs);\n}\n\nexport const slice = op({slice_});\nexport const slice1d = op({slice1d_});\nexport const slice2d = op({slice2d_});\nexport const slice3d = op({slice3d_});\nexport const slice4d = op({slice4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the log(sum(exp(elements across the reduction dimensions)).\n *\n * Reduces the input along the dimensions given in `axis`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.logSumExp().print();  // or tf.logSumExp(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.logSumExp(axis).print();  // or tf.logSumExp(a, axis)\n * ```\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. If null (the default),\n *     reduces all dimensions.\n * @param keepDims If true, retains reduced dimensions with length\n *     of 1. Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction logSumExp_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'logSumExp');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const xMax = $x.max(axes, true /* keepDims */);\n  const a = $x.sub(xMax);\n  const b = a.exp();\n  const c = b.sum(axes);\n  const d = c.log();\n  const res = xMax.reshape(d.shape).add(d);\n\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, axes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the sum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If axes has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.sum().print();  // or tf.sum(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.sum(axis).print();  // or tf.sum(x, axis)\n * ```\n *\n * @param x The input tensor to compute the sum over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction sum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'sum');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since sum is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const permutation = axis_util.getAxesPermutation(axes, x.rank);\n    let reductionAxes = axes;\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = x.transpose(permutation);\n      reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, x.rank);\n    }\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32'));\n      return derX;\n    };\n\n    const gradInputs = (dy: Tensor) => {\n      return {x: () => gradFunc(dy)};\n    };\n\n    const attrs = {axes: reductionAxes};\n    let value = ENGINE.runKernelFunc(\n        backend => backend.sum(permutedX, reductionAxes), {x: permutedX},\n        gradInputs, 'Sum', attrs);\n\n    if (keepDims) {\n      const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n      value = value.reshape(newShape);\n    }\n\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Computes the product of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.prod().print();  // or tf.prod(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.prod(axis).print();  // or tf.prod(x, axis)\n * ```\n *\n * @param x The input tensor to compute the product over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction prod_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'prod');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  const permutation = axis_util.getAxesPermutation(axes, $x.rank);\n  let reductionAxes = axes;\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n    reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, $x.rank);\n  }\n  let value = ENGINE.runKernelFunc(\n      backend => backend.prod(permutedX, reductionAxes), {permutedX});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n    value = value.reshape(newShape);\n  }\n\n  return value as T;\n}\n/**\n * Computes the mean of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces `x` along the dimensions given in `axis`. Unless `keepDims` is\n * true, the rank of the `tf.Tensor` is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and a `tf.Tensor` with\n * a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.mean().print();  // or tf.mean(a)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.mean(axis).print();  // or tf.mean(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction mean_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'mean');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const shapes = axis_util.computeOutAndReduceShapes($x.shape, axes);\n  const reduceShape = shapes[1];\n  const reduceSize = util.sizeFromShape(reduceShape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since mean is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const reduceSizeScalar = scalar(reduceSize);\n    // Cast if needed.\n    const xReduce =\n        reduceSizeScalar.dtype === x.dtype ? x : x.cast(reduceSizeScalar.dtype);\n    const res = xReduce.div(reduceSizeScalar);\n    const value = res.sum(axis, keepDims);\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32')).div(reduceSize);\n      return derX;\n    };\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Gradient helper function for the min and max operations.\n */\nfunction gradForMinAndMax<T extends Tensor>(\n    dy: T, y: T, xOrig: Tensor, origAxes: number[], permutedAxes: number[]) {\n  if (y.rank < xOrig.rank) {\n    y = y.reshape(axis_util.expandShapeToKeepDim(y.shape, origAxes)) as T;\n  }\n  if (dy.rank < xOrig.rank) {\n    dy = dy.reshape(axis_util.expandShapeToKeepDim(dy.shape, origAxes)) as T;\n  }\n  return {\n    x: () => {\n      const dx = dy.mul(xOrig.equal(y).cast(dy.dtype));\n      return permutedAxes == null ? dx : dx.transpose(permutedAxes);\n    }\n  };\n}\n\n/**\n * Computes the minimum value from the input.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axes`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axes` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.min().print();  // or tf.min(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.min(axis).print();  // or tf.min(x, axis)\n * ```\n *\n * @param x The input Tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction min_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'min');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.min($x, axes);\n    save([xOrig, y]);\n    return y as T;\n  }, {x: $x}, grad, 'Min', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res;\n}\n\n/**\n * Computes the maximum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.max().print();  // or tf.max(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.max(axis).print();  // or tf.max(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction max_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'max');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.max($x, axes);\n    save([xOrig, y]);\n    return y;\n  }, {x: $x}, grad, 'Max', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Returns the indices of the minimum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMin().print();  // or tf.argMin(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMin(axis).print();  // or tf.argMin(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMin_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMin');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => zerosLike($x)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMin($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {$x}, grad) as T;\n}\n\n/**\n * Returns the indices of the maximum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMax().print();  // or tf.argMax(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMax(axis).print();  // or tf.argMax(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMax_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMax');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => zerosLike($x)};\n  };\n  const attrs = {axis: axes[0]};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMax($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ArgMax', attrs, inputsToSave) as T;\n}\n\n/**\n * Computes the logical and of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.all().print();  // or tf.all(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.all(axis).print();  // or tf.all(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction all_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'all', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.all($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the logical or of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.any().print();  // or tf.any(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.any(axis).print();  // or tf.any(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction any_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'any', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.any($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Calculates the mean and variance of `x`. The mean and variance are\n * calculated by aggregating the contents of `x` across `axes`. If `x` is\n * 1-D and `axes = [0]` this is just the mean and variance of a vector.\n *\n * @param x The input tensor.\n * @param axis The dimension(s) along with to compute mean and\n *     variance. By default it reduces all dimensions.\n * @param keepDims If true, the moments have the same dimensionality as the\n *     input.\n * @return An object with two keys: `mean` and `variance`.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction moments_(\n    x: Tensor|TensorLike, axis: number|number[] = null,\n    keepDims = false): {mean: Tensor, variance: Tensor} {\n  x = convertToTensor(x, 'x', 'moments');\n  const axes = util.parseAxisParam(axis, x.shape);\n  const mean = x.mean(axes, keepDims);\n  let keepDimsShape = mean.shape;\n  if (!keepDims) {\n    keepDimsShape = axis_util.expandShapeToKeepDim(mean.shape, axes);\n  }\n  const devSquared = x.toFloat().sub(mean.reshape(keepDimsShape)).square();\n  const variance = devSquared.mean(axes, keepDims);\n  return {mean, variance};\n}\n\nexport const all = op({all_});\n// tslint:disable-next-line:variable-name\nexport const any = op({any_});\nexport const argMax = op({argMax_});\nexport const argMin = op({argMin_});\nexport const logSumExp = op({logSumExp_});\nexport const max = op({max_});\nexport const mean = op({mean_});\nexport const min = op({min_});\nexport const moments = op({moments_});\nexport const sum = op({sum_});\nexport const prod = op({prod_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {maximum} from './binary_ops';\nimport {getReductionAxes} from './broadcast_util';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {SELU_SCALE, SELU_SCALEALPHA} from './selu_util';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes rectified linear element-wise: `max(x, 0)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.relu().print();  // or tf.relu(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mulStrict($x.step().toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu');\n}\n\n/**\n * Computes rectified linear 6 element-wise: `min(max(x, 0), 6)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 8]);\n *\n * x.relu6().print();  // or tf.relu6(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu6_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu6');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    const mask = $x.lessEqual(6).mul($x.step());\n    return {x: () => dy.mulStrict(mask.toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu6($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu6');\n}\n\n/**\n * Computes exponential linear element-wise: `x > 0 ? e ^ x - 1 : 0`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 1, -3, 2]);\n *\n * x.elu().print();  // or tf.elu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction elu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'elu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {\n      $x: () =>\n          ENGINE.runKernelFunc(backend => backend.eluDer(dy, y), {dy, y}) as T\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.elu($x);\n    save([y]);\n    return y;\n  }, {$x}, grad);\n}\n\n/**\n * Computes scaled exponential linear element-wise.\n *\n * `x < 0 ? scale * alpha * (exp(x) - 1) : x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.selu().print();  // or tf.selu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction selu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'selu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => {\n        const mask = $x.greater(scalar(0));\n\n        const scaleAlpha = scalar(SELU_SCALEALPHA);\n        const scale = scalar(SELU_SCALE);\n\n        const greaterThanZeroDer = dy.mul(scale);\n        const lessEqualZeroDer = dy.mul(scaleAlpha).mul($x.toFloat().exp());\n\n        return where(mask, greaterThanZeroDer, lessEqualZeroDer) as T;\n      }\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.selu($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes leaky rectified linear element-wise.\n *\n * See\n * [http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf](\n *     http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf)\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.leakyRelu(0.1).print();  // or tf.leakyRelu(x, 0.1)\n * ```\n * @param x The input tensor.\n * @param alpha The scaling factor for negative values, defaults to 0.2.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction leakyRelu_<T extends Tensor>(x: T|TensorLike, alpha = 0.2): T {\n  const $x = convertToTensor(x, 'x', 'leakyRelu');\n  return maximum(scalar(alpha).mul($x), $x);\n}\n\n/**\n * Computes leaky rectified linear element-wise with parametric alphas.\n *\n * `x < 0 ? alpha * x : f(x) = x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n * const alpha = tf.scalar(0.1);\n *\n * x.prelu(alpha).print();  // or tf.prelu(x, alpha)\n * ```\n * @param x The input tensor.\n * @param alpha Scaling factor for negative values.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction prelu_<T extends Tensor>(x: T|TensorLike, alpha: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'prelu');\n  const $alpha = convertToTensor(alpha, 'alpha', 'prelu');\n\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$x, $alpha] = saved;\n    const mask = $x.greater(0);\n\n    return {\n      x: () => where(mask, dy, dy.mul($alpha)) as T,\n      alpha: () => {\n        let res = where(mask, zerosLike(dy), dy.mul($x));\n        const reduceAxes = getReductionAxes($alpha.shape, dy.shape);\n        if (reduceAxes.length > 0) {\n          res = res.sum(reduceAxes);\n        }\n        return res.reshape($alpha.shape) as T;\n      }\n    };\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.prelu($x, $alpha);\n    save([$x, $alpha]);\n    return res;\n  }, {x: $x, alpha: $alpha}, grad, 'Prelu') as T;\n}\n\nexport const elu = op({elu_});\nexport const leakyRelu = op({leakyRelu_});\nexport const prelu = op({prelu_});\nexport const relu = op({relu_});\nexport const relu6 = op({relu6_});\nexport const selu = op({selu_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Normalizes the activation of a local neighborhood across or within\n * channels.\n *\n * @param x The input tensor. The 4-D input tensor is treated as a 3-D array\n *     of 1D vectors (along the last dimension), and each vector is\n *     normalized independently.\n * @param depthRadius The number of adjacent channels in the 1D normalization\n *     window.\n * @param bias A constant bias term for the basis.\n * @param alpha A scale factor, usually positive.\n * @param beta An exponent.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction localResponseNormalization_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n  const $x = convertToTensor(x, 'x', 'localResponseNormalization');\n  util.assert(\n      $x.rank === 4 || $x.rank === 3,\n      () => `Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank ${$x.rank}.`);\n  util.assert(\n      util.isInt(depthRadius),\n      () => `Error in localResponseNormalization: depthRadius must be an ` +\n          `integer but got depthRadius ${depthRadius}.`);\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x4D: () => ENGINE.runKernelFunc(\n          backend => backend.LRNGrad(\n              dy, x4D as Tensor4D, y as Tensor4D, depthRadius, bias, alpha,\n              beta),\n          {})\n    };\n  };\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.localResponseNormalization4D(\n        x4D, depthRadius, bias, alpha, beta);\n    save([x4D, y]);\n    return y;\n  }, {x4D}, backward);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  } else {\n    return res as T;\n  }\n}\n\nexport const localResponseNormalization = op({localResponseNormalization_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {parseAxisParam} from '../util';\n\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Computes the norm of scalar, vectors, and matrices.\n * This function can compute several different vector norms (the 1-norm, the\n * Euclidean or 2-norm, the inf-norm, and in general the p-norm for p > 0)\n * and matrix norms (Frobenius, 1-norm, and inf-norm).\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.norm().print();  // or tf.norm(x)\n * ```\n *\n * @param x The input array.\n * @param ord Optional. Order of the norm. Supported norm types are\n * following:\n *\n *  | ord        | norm for matrices         | norm for vectors\n *  |------------|---------------------------|---------------------\n *  |'euclidean' |Frobenius norm             |2-norm\n *  |'fro'       |Frobenius norm\t           |\n *  |Infinity    |max(sum(abs(x), axis=1))   |max(abs(x))\n *  |-Infinity   |min(sum(abs(x), axis=1))   |min(abs(x))\n *  |1           |max(sum(abs(x), axis=0))   |sum(abs(x))\n *  |2           |                           |sum(abs(x)^2)^1/2*\n *\n * @param axis Optional. If axis is null (the default), the input is\n * considered a vector and a single vector norm is computed over the entire\n * set of values in the Tensor, i.e. norm(x, ord) is equivalent\n * to norm(x.reshape([-1]), ord). If axis is a integer, the input\n * is considered a batch of vectors, and axis determines the axis in x\n * over which to compute vector norms. If axis is a 2-tuple of integer it is\n * considered a batch of matrices and axis determines the axes in NDArray\n * over which to compute a matrix norm.\n * @param keepDims Optional. If true, the norm have the same dimensionality\n * as the input.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction norm_(\n    x: Tensor|TensorLike, ord: number|'euclidean'|'fro' = 'euclidean',\n    axis: number|number[] = null, keepDims = false): Tensor {\n  x = convertToTensor(x, 'x', 'norm');\n\n  const norm = normImpl(x, ord, axis);\n  let keepDimsShape = norm.shape;\n  if (keepDims) {\n    const axes = parseAxisParam(axis, x.shape);\n    keepDimsShape = axis_util.expandShapeToKeepDim(norm.shape, axes);\n  }\n  return norm.reshape(keepDimsShape);\n}\n\nfunction normImpl(\n    x: Tensor, p: number|string, axis: number|number[] = null): Tensor {\n  if (x.rank === 0) {\n    return x.abs();\n  }\n\n  // consider vector when no axis is specified\n  if (x.rank !== 1 && axis === null) {\n    return normImpl(x.reshape([-1]), p, axis);\n  }\n\n  // vector\n  if (x.rank === 1 || typeof axis === 'number' ||\n      Array.isArray(axis) && axis.length === 1) {\n    if (p === 1) {\n      return x.abs().sum(axis);\n    }\n    if (p === Infinity) {\n      return x.abs().max(axis);\n    }\n    if (p === -Infinity) {\n      return x.abs().min(axis);\n    }\n    if (p === 'euclidean' || p === 2) {\n      // norm(x, 2) = sum(abs(xi) ^ 2) ^ 1/2\n      return x.abs().pow(scalar(2, 'int32')).sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  // matrix (assumption axis[0] < axis[1])\n  if (Array.isArray(axis) && axis.length === 2) {\n    if (p === 1) {\n      return x.abs().sum(axis[0]).max(axis[1] - 1);\n    }\n    if (p === Infinity) {\n      return x.abs().sum(axis[1]).max(axis[0]);\n    }\n    if (p === -Infinity) {\n      return x.abs().sum(axis[1]).min(axis[0]);\n    }\n    if (p === 'fro' || p === 'euclidean') {\n      // norm(x) = sqrt(sum(pow(x, 2)))\n      return x.square().sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  throw new Error(`Error in norm: invalid axis: ${axis}`);\n}\n\nexport const norm = op({norm_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * @docalias (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D]\n */\nexport type LSTMCellFunc = {\n  (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D];\n};\n\n/**\n * Computes the next states and outputs of a stack of LSTMCells.\n *\n * Each cell output is used as input to the next cell.\n *\n * Returns `[cellState, cellOutput]`.\n *\n * Derived from tf.contrib.rn.MultiRNNCell.\n *\n * @param lstmCells Array of LSTMCell functions.\n * @param data The input to the cell.\n * @param c Array of previous cell states.\n * @param h Array of previous cell outputs.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction multiRNNCell_(\n    lstmCells: LSTMCellFunc[], data: Tensor2D|TensorLike,\n    c: Array<Tensor2D|TensorLike>,\n    h: Array<Tensor2D|TensorLike>): [Tensor2D[], Tensor2D[]] {\n  const $data = convertToTensor(data, 'data', 'multiRNNCell');\n  const $c = convertToTensorArray(c, 'c', 'multiRNNCell');\n  const $h = convertToTensorArray(h, 'h', 'multiRNNCell');\n\n  let input = $data;\n  const newStates = [];\n  for (let i = 0; i < lstmCells.length; i++) {\n    const output = lstmCells[i](input, $c[i], $h[i]);\n    newStates.push(output[0]);\n    newStates.push(output[1]);\n    input = output[1];\n  }\n  const newC: Tensor2D[] = [];\n  const newH: Tensor2D[] = [];\n  for (let i = 0; i < newStates.length; i += 2) {\n    newC.push(newStates[i]);\n    newH.push(newStates[i + 1]);\n  }\n  return [newC, newH];\n}\n\n/**\n * Computes the next state and output of a BasicLSTMCell.\n *\n * Returns `[newC, newH]`.\n *\n * Derived from tf.contrib.rnn.BasicLSTMCell.\n *\n * @param forgetBias Forget bias for the cell.\n * @param lstmKernel The weights for the cell.\n * @param lstmBias The bias for the cell.\n * @param data The input to the cell.\n * @param c Previous cell state.\n * @param h Previous cell output.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction basicLSTMCell_(\n    forgetBias: Scalar|TensorLike, lstmKernel: Tensor2D|TensorLike,\n    lstmBias: Tensor1D|TensorLike, data: Tensor2D|TensorLike,\n    c: Tensor2D|TensorLike, h: Tensor2D|TensorLike): [Tensor2D, Tensor2D] {\n  const $forgetBias =\n      convertToTensor(forgetBias, 'forgetBias', 'basicLSTMCell');\n  const $lstmKernel =\n      convertToTensor(lstmKernel, 'lstmKernel', 'basicLSTMCell');\n  const $lstmBias = convertToTensor(lstmBias, 'lstmBias', 'basicLSTMCell');\n  const $data = convertToTensor(data, 'data', 'basicLSTMCell');\n  const $c = convertToTensor(c, 'c', 'basicLSTMCell');\n  const $h = convertToTensor(h, 'h', 'basicLSTMCell');\n\n  const combined = $data.concat($h, 1);\n  const weighted = combined.matMul($lstmKernel);\n  const res: Tensor2D = weighted.add($lstmBias);\n\n  // i = input_gate, j = new_input, f = forget_gate, o = output_gate\n  const batchSize = res.shape[0];\n  const sliceCols = res.shape[1] / 4;\n  const sliceSize: [number, number] = [batchSize, sliceCols];\n  const i = res.slice([0, 0], sliceSize);\n  const j = res.slice([0, sliceCols], sliceSize);\n  const f = res.slice([0, sliceCols * 2], sliceSize);\n  const o = res.slice([0, sliceCols * 3], sliceSize);\n\n  const newC = i.sigmoid().mulStrict(j.tanh()).addStrict(\n      $c.mulStrict($forgetBias.add(f).sigmoid() as Tensor2D));\n  const newH = newC.tanh().mulStrict(o.sigmoid());\n  return [newC, newH];\n}\n\nexport const basicLSTMCell = op({basicLSTMCell_});\nexport const multiRNNCell = op({multiRNNCell_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor} from '../tensor';\nimport {assertTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {pow} from './binary_ops';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Compute the moving average of a variable.\n *\n * Without zeroDebias, the moving average operation is defined by:\n *   `v += delta`\n * where\n *   `delta = (1 - decay) * (x - v)`\n *\n * With zeroDebias (default), the `delta` term is scaled to debias the\n * effect of the (assumed) zero-initialization of `v`.\n *   `delta /= (1 - decay ^ step)`\n *\n * For more details on the zero-debiasing algorithm, see:\n *   https://arxiv.org/abs/1412.6980\n *\n * Note that this function is completely stateless and does not keep track of\n * step count. The step count needs to be maintained by the caller and passed\n * in as `step`.\n *\n * @param v The current moving average value.\n * @param x New input value, must have the same shape and dtype as `v`.\n * @param decay The decay factor. Typical values are 0.95 and 0.99.\n * @param step Step count.\n * @param zeroDebias: Whether zeroDebias is to be performed (default: `true`).\n * @returns The new moving average value.\n */\n/** @doc {heading: 'Operations', subheading: 'Moving Average'} */\nfunction movingAverage_<T extends Tensor>(\n    v: T|TensorLike, x: T|TensorLike, decay: number|Scalar,\n    step?: number|Scalar, zeroDebias = true): T {\n  const $v = convertToTensor(v, 'v', 'movingAverage');\n  const $x = convertToTensor(x, 'x', 'movingAverage');\n  const $decay = convertToTensor(decay, 'decay', 'movingAverage');\n\n  assertTypesMatch($v, $x);\n  util.assert(\n      util.arraysEqual($v.shape, $x.shape), () => 'Shape mismatch in v and x');\n\n  const one = scalar(1);\n  const oneMinusDecay = one.sub($decay);\n\n  let update = $x.sub($v).mul(oneMinusDecay);\n  if (zeroDebias) {\n    util.assert(\n        step != null, () => 'When using zeroDebias: true, step is required.');\n    const $step = convertToTensor(step, 'step', 'movingAverage');\n    update = update.div(one.sub(pow($decay, $step)));\n  }\n  return $v.add(update);\n}\n\nexport const movingAverage = op({movingAverage_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {slice} from './slice';\nimport {computeOutShape, maskToAxes, startForAxis, stopForAxis} from './slice_util';\n\n/**\n * Extracts a strided slice of a tensor.\n *\n * Roughly speaking, this op extracts a slice of size (end-begin)/stride from\n * the given input tensor (x). Starting at the location specified by begin the\n * slice continues by adding stride to the index until all dimensions are not\n * less than end. Note that a stride can be negative, which causes a reverse\n * slice.\n *\n * ```js\n * const t = tf.tensor3d([1, 1, 1 ,2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],\n *    [3, 2, 3]);\n * t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print()  // [[[3, 3, 3]]]\n * t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print()  // [[[3, 3, 3],\n *                                                     // [4, 4, 4]]]\n * t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],\n *                                                     // [3, 3, 3]]]\n * ```\n *\n * @param x The tensor to stride slice.\n * @param begin The coordinates to start the slice from.\n * @param end: The coordinates to end the slice at.\n * @param strides: The size of the slice.\n * @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param endMask: If the ith bit of endMask is set, end[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param shrinkAxisMask: a bitmask where bit i implies that\n * the ith specification should shrink the dimensionality. begin and end must\n * imply a slice of size 1 in the dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction stridedSlice_(\n    x: Tensor|TensorLike, begin: number[], end: number[], strides?: number[],\n    beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n    shrinkAxisMask = 0): Tensor {\n  if (strides == null) {\n    strides = new Array(begin.length);\n  }\n  if (ellipsisMask !== 0) {\n    throw new Error('ellipsis mask is not yet supported');\n  }\n  let $x = convertToTensor(x, 'x', 'stridedSlice');\n\n  // Expand the dims of x based on the newAxisMask.\n  const expandAxes = maskToAxes(newAxisMask);\n  const newShape = $x.shape.slice();\n  expandAxes.forEach(axis => {\n    begin[axis] = 0;\n    end[axis] = 1;\n    newShape.splice(axis, 0, 1);\n  });\n  $x = $x.reshape(newShape);\n\n  // Normalize the start, end and strides.\n  for (let axis = 0; axis < $x.rank; axis++) {\n    begin[axis] = startForAxis(beginMask, begin, strides, $x.shape, axis);\n    end[axis] = stopForAxis(endMask, end, strides, $x.shape, axis);\n    strides[axis] = strides[axis] || 1;\n  }\n\n  const shrinkAxes = maskToAxes(shrinkAxisMask);\n  // Adjust the ends based on the shrink mask.\n  shrinkAxes.forEach(axis => {\n    end[axis] = begin[axis] + 1;\n    strides[axis] = 1;\n  });\n\n  // Figure out the output shape.\n  const size = computeOutShape(begin, end, strides);\n  // Remove the axes based on shrinkMask.\n  const outShape = size.filter((_, axis) => shrinkAxes.indexOf(axis) === -1);\n\n  const nonStrided = strides.every(v => v === 1);\n  if (nonStrided) {\n    return slice($x, begin, size).reshape(outShape);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.stridedSlice($x, begin, end, strides), {$x});\n  return res.reshape(outShape);\n}\n\nexport const stridedSlice = op({stridedSlice_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {NumericTensor, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Finds the values and indices of the `k` largest entries along the last\n * dimension.\n *\n * If the input is a vector (rank=1), finds the k largest entries in the vector\n * and outputs their values and indices as vectors. Thus values[j] is the j-th\n * largest entry in input, and its index is indices[j].\n * For higher rank inputs, computes the top k entries along the last dimension.\n *\n * If two elements are equal, the lower-index element appears first.\n *\n * ```js\n * const a = tf.tensor2d([[1, 5], [4, 3]]);\n * const {values, indices} = tf.topk(a);\n * values.print();\n * indices.print();\n * ```\n * @param x 1-D or higher `tf.Tensor` with last dimension being at least `k`.\n * @param k Number of top elements to look for along the last dimension.\n * @param sorted If true, the resulting `k` elements will be sorted by the\n *     values in descending order.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nfunction topk_<T extends Tensor>(\n    x: T|TensorLike, k = 1, sorted = true): {values: T, indices: T} {\n  const $x = convertToTensor(x, 'x', 'topk');\n  if ($x.rank === 0) {\n    throw new Error('topk() expects the input to be of rank 1 or higher');\n  }\n  const lastDim = $x.shape[$x.shape.length - 1];\n  if (k > lastDim) {\n    throw new Error(\n        `'k' passed to topk() must be <= the last dimension (${lastDim}) ` +\n        `but got ${k}`);\n  }\n\n  const [values, indices] =\n      ENGINE.runKernelFunc(b => b.topk($x as NumericTensor, k, sorted), {$x});\n  return {values, indices} as {values: T, indices: T};\n}\n\nexport const topk = op({topk_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\nimport * as scatter_nd_util from './scatter_nd_util';\n\n/**\n * Creates a new tensor by applying sparse updates to individual\n * values or slices within a zero tensor of the given shape tensor according to\n * indices. This operator is the inverse of the `tf.gatherND` operator which\n * extracts values or slices from a given tensor.\n *\n * ```js\n * const indices = tf.tensor2d([4, 3, 1, 7], [4, 1], 'int32');\n * const updates = tf.tensor1d([9, 10, 11, 12]);\n * const shape = [8];\n * tf.scatterND(indices, updates, shape).print() //[0, 11, 0, 10, 9, 0, 0, 12]\n * ```\n *\n * @param indices The tensor contains the indices into the output tensor.\n * @param updates The tensor contains the value for the indices.\n * @param shape: The shape of the output tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction scatterND_<R extends Rank>(\n    indices: Tensor|TensorLike, updates: Tensor|TensorLike,\n    shape: ShapeMap[R]): Tensor<R> {\n  const $indices = convertToTensor(indices, 'indices', 'scatterND', 'int32');\n  const $updates = convertToTensor(updates, 'updates', 'scatterND');\n  scatter_nd_util.validateInput($updates, $indices, shape);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.scatterND($indices, $updates, shape),\n      {indices: $indices, updates: $updates}, null /* backward */, 'ScatterNd',\n      {shape});\n}\n\nexport const scatterND = op({scatterND_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {complex, imag, real} from '../ops/complex_ops';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {assert} from '../util';\nimport {scalar, zeros} from './tensor_ops';\n\n/**\n * Fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the inner-most\n * dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.fft().print();  // tf.spectral.fft(x).print();\n * ```\n * @param input The complex input to compute an fft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction fft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.fft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.fft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Inverse fast Fourier transform.\n *\n * Computes the inverse 1-dimensional discrete Fourier transform over the\n * inner-most dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.ifft().print();  // tf.spectral.ifft(x).print();\n * ```\n * @param input The complex input to compute an ifft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction ifft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.ifft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.ifft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Real value input fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n *\n * real.rfft().print();\n * ```\n * @param input The real value input to compute an rfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction rfft_(input: Tensor, fftLength?: number): Tensor {\n  assert(\n      input.dtype === 'float32',\n      () => `The dtype for rfft() must be real value but got ${input.dtype}`);\n\n  let innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  let adjustedInput: Tensor;\n  if (fftLength != null && fftLength < innerDimensionSize) {\n    // Need to crop\n    const begin = input.shape.map(v => 0);\n    const size = input.shape.map(v => v);\n    size[input.shape.length - 1] = fftLength;\n    adjustedInput = input.slice(begin, size);\n    innerDimensionSize = fftLength;\n  } else if (fftLength != null && fftLength > innerDimensionSize) {\n    // Need to pad with zeros\n    const zerosShape = input.shape.map(v => v);\n    zerosShape[input.shape.length - 1] = fftLength - innerDimensionSize;\n    adjustedInput = input.concat(zeros(zerosShape), input.shape.length - 1);\n    innerDimensionSize = fftLength;\n  } else {\n    adjustedInput = input;\n  }\n\n  // Complement the input with zero imaginary numbers.\n  const zerosInput = adjustedInput.zerosLike();\n  const complexInput =\n      complex(adjustedInput, zerosInput).as2D(batch, innerDimensionSize);\n\n  const ret = fft(complexInput);\n\n  // Exclude complex conjugations. These conjugations are put symmetrically.\n  const half = Math.floor(innerDimensionSize / 2) + 1;\n  const realValues = real(ret);\n  const imagValues = imag(ret);\n  const realComplexConjugate = realValues.split(\n      [half, innerDimensionSize - half], realValues.shape.length - 1);\n  const imagComplexConjugate = imagValues.split(\n      [half, innerDimensionSize - half], imagValues.shape.length - 1);\n\n  const outputShape = adjustedInput.shape.slice();\n  outputShape[adjustedInput.shape.length - 1] = half;\n\n  return complex(realComplexConjugate[0], imagComplexConjugate[0])\n      .reshape(outputShape);\n}\n\n/**\n * Inversed real value input fast Fourier transform.\n *\n * Computes the 1-dimensional inversed discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([0, 0, 0]);\n * const x = tf.complex(real, imag);\n *\n * x.irfft().print();\n * ```\n * @param input The real value input to compute an irfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction irfft_(input: Tensor): Tensor {\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  if (innerDimensionSize <= 2) {\n    const complexInput = input.as2D(batch, innerDimensionSize);\n    const ret = ifft(complexInput);\n    return real(ret);\n  } else {\n    // The length of unique components of the DFT of a real-valued signal\n    // is 2 * (input_len - 1)\n    const outputShape = [batch, 2 * (innerDimensionSize - 1)];\n    const realInput = real(input).as2D(batch, innerDimensionSize);\n    const imagInput = imag(input).as2D(batch, innerDimensionSize);\n\n    const realConjugate =\n        realInput.slice([0, 1], [batch, innerDimensionSize - 2]).reverse(1);\n    const imagConjugate: Tensor2D =\n        imagInput.slice([0, 1], [batch, innerDimensionSize - 2])\n            .reverse(1)\n            .mul(scalar(-1));\n\n    const r = realInput.concat(realConjugate, 1);\n    const i = imagInput.concat(imagConjugate, 1);\n    const complexInput = complex(r, i).as2D(outputShape[0], outputShape[1]);\n    const ret = ifft(complexInput);\n    return real(ret);\n  }\n}\n\nexport const fft = op({fft_});\nexport const ifft = op({ifft_});\nexport const rfft = op({rfft_});\nexport const irfft = op({irfft_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport * as sparse_to_dense from '../ops/sparse_to_dense_util';\nimport {Scalar, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ScalarLike, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Converts a sparse representation into a dense tensor.\n *\n * Builds an array dense with shape outputShape such that:\n *\n * // If sparseIndices is scalar\n * dense[i] = (i == sparseIndices ? sparseValues : defaultValue)\n *\n * // If sparseIndices is a vector, then for each i\n * dense[sparseIndices[i]] = sparseValues[i]\n *\n * // If sparseIndices is an n by d matrix, then for each i in [0, n)\n * dense[sparseIndices[i][0], ..., sparseIndices[i][d-1]] = sparseValues[i]\n * All other values in dense are set to defaultValue. If sparseValues is a\n * scalar, all sparse indices are set to this single value.\n *\n * If indices are repeated the final value is summed over all values for those\n * indices.\n *\n * ```js\n * const indices = tf.tensor1d([4, 5, 6, 1, 2, 3], 'int32');\n * const values = tf.tensor1d([10, 11, 12, 13, 14, 15], 'float32');\n * const shape = [8];\n * tf.sparseToDense(indices, values, shape).print();\n * ```\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape Shape of the dense output tensor. the type is inferred.\n * @param defaultValue Scalar. Value to set for indices not specified in\n * sparseIndices. Defaults to zero.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction sparseToDense_<R extends Rank>(\n    sparseIndices: Tensor|TensorLike, sparseValues: Tensor|TensorLike,\n    outputShape: ShapeMap[R], defaultValue: Scalar|ScalarLike = 0): Tensor<R> {\n  const $sparseIndices =\n      convertToTensor(sparseIndices, 'sparseIndices', 'sparseToDense', 'int32');\n  const $sparseValues =\n      convertToTensor(sparseValues, 'sparseValues', 'sparseToDense');\n  const $defaultValue = convertToTensor(\n      defaultValue, 'defaultValue', 'sparseToDense', $sparseValues.dtype);\n\n  sparse_to_dense.validateInput(\n      $sparseIndices, $sparseValues, outputShape, $defaultValue);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.sparseToDense(\n          $sparseIndices, $sparseValues, outputShape, $defaultValue),\n      {$sparseIndices, $sparseValues, $defaultValue});\n}\n\nexport const sparseToDense = op({sparseToDense_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\n\n/**\n * Validate sparseToDense inputs.\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape number[]. Shape of the dense output tensor.\n * @param validateIndices boolean. indice validation is not supported, error\n * will be thrown if it is set.\n */\nexport function validateInput(\n    sparseIndices: Tensor, sparseValues: Tensor, outputShape: number[],\n    defaultValues: Tensor) {\n  if (sparseIndices.dtype !== 'int32') {\n    throw new Error(\n        'tf.sparseToDense() expects the indices to be int32 type,' +\n        ` but the dtype was ${sparseIndices.dtype}.`);\n  }\n  if (sparseIndices.rank > 2) {\n    throw new Error(\n        'sparseIndices should be a scalar, vector, or matrix,' +\n        ` but got shape ${sparseIndices.shape}.`);\n  }\n\n  const numElems = sparseIndices.rank > 0 ? sparseIndices.shape[0] : 1;\n  const numDims = sparseIndices.rank > 1 ? sparseIndices.shape[1] : 1;\n\n  if (outputShape.length !== numDims) {\n    throw new Error(\n        'outputShape has incorrect number of elements:,' +\n        ` ${outputShape.length}, should be: ${numDims}.`);\n  }\n\n  const numValues = sparseValues.size;\n  if (!(sparseValues.rank === 0 ||\n        sparseValues.rank === 1 && numValues === numElems)) {\n    throw new Error(\n        'sparseValues has incorrect shape ' +\n        `${sparseValues.shape}, should be [] or [${numElems}]`);\n  }\n\n  if (sparseValues.dtype !== defaultValues.dtype) {\n    throw new Error('sparseValues.dtype must match defaultValues.dtype');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Gather slices from input tensor into a Tensor with shape specified by\n * `indices`.\n *\n * `indices` is an K-dimensional integer tensor, best thought of as a\n * (K-1)-dimensional tensor of indices into input, where each element defines a\n * slice of input:\n * output[\\\\(i_0, ..., i_{K-2}\\\\)] = input[indices[\\\\(i_0, ..., i_{K-2}\\\\)]]\n *\n * Whereas in `tf.gather`, `indices` defines slices into the first dimension of\n * input, in `tf.gatherND`, `indices` defines slices into the first N dimensions\n * of input, where N = indices.shape[-1].\n *\n * The last dimension of indices can be at most the rank of input:\n * indices.shape[-1] <= input.rank\n *\n * The last dimension of `indices` corresponds to elements\n * (if indices.shape[-1] == input.rank) or slices\n * (if indices.shape[-1] < input.rank) along dimension indices.shape[-1] of\n * input.\n * The output tensor has shape\n * indices.shape[:-1] + input.shape[indices.shape[-1]:]\n *\n * Note that on CPU, if an out of bound index is found, an error is returned. On\n * GPU, if an out of bound index is found, a 0 is stored in the corresponding\n * output value.\n *\n * ```js\n * const indices = tf.tensor2d([0, 1, 1, 0], [2,2], 'int32');\n * const input = tf.tensor2d([9, 10, 11, 12], [2, 2]);\n * tf.gatherND(input, indices).print() // [10, 11]\n * ```\n *\n * @param x The tensor from which to gather values.\n * @param indices Index tensor, must be of type int32.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction gatherND_(x: Tensor|TensorLike, indices: Tensor|TensorLike): Tensor {\n  const $indices = convertToTensor(indices, 'indices', 'gatherND', 'int32');\n  const $x = convertToTensor(x, 'x', 'gatherND');\n  return ENGINE.runKernelFunc(\n      backend => backend.gatherND($x, $indices), {x: $x, indices: $indices},\n      null /* backward */, 'GatherNd');\n}\nexport const gatherND = op({gatherND_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {op} from './operation';\n\n/**\n * Returns a diagonal tensor with a given diagonal values.\n *\n * Given a diagonal, this operation returns a tensor with the diagonal and\n * everything else padded with zeros.\n *\n * Assume the input has dimensions `[D1,..., Dk]`, then the output is a tensor\n * of rank 2k with dimensions `[D1,..., Dk, D1,..., Dk]`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * tf.diag(x).print()\n * ```\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4, 5, 6, 6, 8], [4, 2])\n *\n * tf.diag(x).print()\n * ```\n * @param x The input tensor.\n */\nfunction diag_(x: Tensor): Tensor {\n  const $x = convertToTensor(x, 'x', 'diag').flatten();\n  const outShape = [...x.shape, ...x.shape];\n  return ENGINE.runKernelFunc(backend => backend.diag($x), {$x})\n      .reshape(outShape);\n}\n\nexport const diag = op({diag_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {getNoiseShape} from './dropout_util';\nimport {op} from './operation';\nimport {randomUniform} from './random_uniform';\n\n/**\n * Computes dropout.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 2, 1]);\n * const rate = 0.75;\n * const output = tf.dropout(x, rate);\n * output.print();\n * ```\n *\n * @param x A floating point Tensor or TensorLike.\n * @param rate A float in the range [0, 1). The probability that each element\n *   of x is discarded.\n * @param noiseShape An array of numbers of type int32, representing the\n * shape for randomly generated keep/drop flags. If the noiseShape has null\n * value, it will be automatically replaced with the x's relative dimension\n * size. Optional.\n * @param seed Used to create random seeds. Optional.\n * @returns A Tensor of the same shape of x.\n */\n/** @doc {heading: 'Operations', subheading: 'Dropout'} */\nfunction dropout_(\n    x: Tensor|TensorLike, rate: number, noiseShape?: number[],\n    seed?: number|string): Tensor {\n  const $x = convertToTensor(x, 'x', 'dropout');\n\n  util.assert(\n      $x.dtype === 'float32',\n      () => `x has to be a floating point tensor since it's going to be ` +\n          `scaled, but got a ${$x.dtype} tensor instead.`);\n  util.assert(\n      rate >= 0 && rate < 1,\n      () => `rate must be a float in the range [0, 1), but got ${rate}.`);\n\n  if (rate === 0) {\n    return x instanceof Tensor ? $x.clone() : $x;\n  }\n\n  const $noiseShape = getNoiseShape($x, noiseShape);\n  const keepProb = 1 - rate;\n  const multiplier = randomUniform($noiseShape, 0, 1, 'float32', seed)\n                         .add(keepProb)\n                         .floor()\n                         .div(keepProb);\n\n  return $x.mul(multiplier);\n}\n\nexport const dropout = op({dropout_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\n/**\n * Normalize noise shape based on provided tensor and noise shape.\n *\n * @param x Tensor.\n * @param noiseShape The shape for the randomly generated keep/drop flags, as\n *   an array of numbers. Optional.\n * @returns Normalized noise shape.\n */\nexport function getNoiseShape(x: Tensor, noiseShape?: number[]): number[] {\n  if (noiseShape == null) {\n    return x.shape.slice();\n  }\n  if (util.arraysEqual(x.shape, noiseShape)) {\n    return noiseShape;\n  }\n  if (x.shape.length === noiseShape.length) {\n    const newDimension: number[] = [];\n    for (let i = 0; i < x.shape.length; i++) {\n      if (noiseShape[i] == null && x.shape[i] != null) {\n        newDimension.push(x.shape[i]);\n      } else {\n        newDimension.push(noiseShape[i]);\n      }\n    }\n    return newDimension;\n  }\n\n  return noiseShape;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor1D} from '../tensor';\n\nimport {mul} from './binary_ops';\nimport {concat} from './concat_split';\nimport {slice} from './slice';\nimport {rfft} from './spectral_ops';\nimport {fill, tensor1d, tensor2d} from './tensor_ops';\n\n/**\n * Generate a Hann window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hannWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hannWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.5, 0.5);\n}\n\n/**\n * Generate a hamming window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hammingWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hammingWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.54, 0.46);\n}\n\n/**\n * Expands input into frames of frameLength.\n * Slides a window size with frameStep.\n *\n * ```js\n * tf.signal.frame([1, 2, 3], 2, 1).print();\n * ```\n * @param signal The input tensor to be expanded\n * @param frameLength Length of each frame\n * @param frameStep The frame hop size in samples.\n * @param padEnd Whether to pad the end of signal with padValue.\n * @param padValue An number to use where the input signal does\n *     not exist when padEnd is True.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction frame_(\n    signal: Tensor1D, frameLength: number, frameStep: number, padEnd = false,\n    padValue = 0): Tensor {\n  let start = 0;\n  const output: Tensor[] = [];\n  while (start + frameLength <= signal.size) {\n    output.push(slice(signal, start, frameLength));\n    start += frameStep;\n  }\n\n  if (padEnd) {\n    while (start < signal.size) {\n      const padLen = (start + frameLength) - signal.size;\n      const pad = concat(\n          [slice(signal, start, frameLength - padLen),\n           fill([padLen], padValue)]);\n      output.push(pad);\n      start += frameStep;\n    }\n  }\n\n  if (output.length === 0) {\n    return tensor2d([], [0, frameLength]);\n  }\n\n  return concat(output).as2D(output.length, frameLength);\n}\n\n/**\n * Computes the Short-time Fourier Transform of signals\n * See: https://en.wikipedia.org/wiki/Short-time_Fourier_transform\n *\n * ```js\n * const input = tf.tensor1d([1, 1, 1, 1, 1])\n * tf.signal.stft(input, 3, 1).print();\n * ```\n * @param signal 1-dimensional real value tensor.\n * @param frameLength The window length of samples.\n * @param frameStep The number of samples to step.\n * @param fftLength The size of the FFT to apply.\n * @param windowFn A callable that takes a window length and returns 1-d tensor.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction stft_(\n    signal: Tensor1D, frameLength: number, frameStep: number,\n    fftLength?: number,\n    windowFn: (length: number) => Tensor1D = hannWindow): Tensor {\n  if (fftLength == null) {\n    fftLength = enclosingPowerOfTwo(frameLength);\n  }\n  const framedSignal = frame(signal, frameLength, frameStep);\n  const windowedSignal = mul(framedSignal, windowFn(frameLength));\n  const output: Tensor[] = [];\n  for (let i = 0; i < framedSignal.shape[0]; i++) {\n    output.push(rfft(windowedSignal.slice([i, 0], [1, frameLength]),\n      fftLength));\n  }\n  return concat(output);\n}\n\nfunction enclosingPowerOfTwo(value: number) {\n  // Return 2**N for integer N such that 2**N >= value.\n  return Math.floor(Math.pow(2, Math.ceil(Math.log(value) / Math.log(2.0))));\n}\n\nfunction cosineWindow(windowLength: number, a: number, b: number): Tensor1D {\n  const even = 1 - windowLength % 2;\n  const newValues = new Float32Array(windowLength);\n  for (let i = 0; i < windowLength; ++i) {\n    const cosArg = (2.0 * Math.PI * i) / (windowLength + even - 1);\n    newValues[i] = a - b * Math.cos(cosArg);\n  }\n  return tensor1d(newValues, 'float32');\n}\n\nexport const hannWindow = op({hannWindow_});\nexport const hammingWindow = op({hammingWindow_});\nexport const frame = op({frame_});\nexport const stft = op({stft_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch, getTypedArrayFromDType} from '../util';\nimport {tensor} from './tensor_ops';\n\n/**\n * Returns whether the targets are in the top K predictions.\n *\n * ```js\n * const predictions = tf.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);\n * const targets = tf.tensor1d([2, 0]);\n * const precision = await tf.inTopKAsync(predictions, targets);\n * precision.print();\n * ```\n * @param predictions 2-D or higher `tf.Tensor` with last dimension being\n *     at least `k`.\n * @param targets 1-D or higher `tf.Tensor`.\n * @param k Optional Number of top elements to look at for computing precision,\n *     default to 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nasync function inTopKAsync_<T extends Tensor, U extends Tensor>(\n    predictions: T|TensorLike, targets: U|TensorLike, k = 1): Promise<U> {\n  const $predictions = convertToTensor(predictions, 'predictions', 'inTopK');\n  const $targets = convertToTensor(targets, 'targets', 'inTopK');\n\n  assert(\n      $predictions.rank > 1,\n      () => 'inTopK() expects the predictions to be of rank 2 or higher, ' +\n          `but got ${$predictions.rank}`);\n  assert(\n      $predictions.rank - 1 === $targets.rank,\n      () => `predictions rank should be 1 larger than ` +\n          `targets rank, but got predictions rank ` +\n          `${$predictions.rank} and targets rank ${$targets.rank}`);\n  assertShapesMatch(\n      $predictions.shape.slice(0, $predictions.shape.length - 1),\n      $targets.shape,\n      `predictions's shape should be align with the targets' shape, ` +\n          'except the last dimension.');\n  const lastDim = $predictions.shape[$predictions.shape.length - 1];\n  assert(\n      k > 0 && k <= lastDim,\n      () => `'k' passed to inTopK() must be > 0 && <= the predictions last ` +\n          `dimension (${lastDim}), but got ${k}`);\n\n  const predictionsVals = await $predictions.data();\n  const targetsVals = await $targets.data();\n\n  // Reshape predictionsVals into a 2d tensor [batch, lastDim]\n  // and look up topK along lastDim.\n  const [batch, size] = [predictionsVals.length / lastDim, lastDim];\n  const precision = getTypedArrayFromDType('bool', batch);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = predictionsVals.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    precision[b] = 0;\n    for (let i = 0; i < k; i++) {\n      if (valAndInd[i].index === targetsVals[b]) {\n        precision[b] = 1;\n        break;\n      }\n    }\n  }\n\n  if (predictions !== $predictions) {\n    $predictions.dispose();\n  }\n  if (targets !== $targets) {\n    $targets.dispose();\n  }\n\n  // Output precision has the same shape as targets.\n  return tensor(precision, $targets.shape, 'bool') as U;\n}\n\nexport const inTopKAsync = inTopKAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {expandShapeToKeepDim} from './axis_util';\nimport {minimum} from './binary_ops';\nimport {op} from './operation';\nimport {ones, scalar} from './tensor_ops';\n\nexport enum Reduction {\n  NONE,\n  MEAN,\n  SUM,\n  SUM_BY_NONZERO_WEIGHTS\n}\n\n/**\n * Computes the weighted loss between two tensors.\n *\n * @param losses Tensor of shape `[batch_size, d1, ... dN]`.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `losses`, and must be broadcastable to `losses` (i.e., all\n *    dimensions must be either `1`, or the same as the corresponding\n *    `losses` dimension).\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction computeWeightedLoss_<T extends Tensor, O extends Tensor>(\n    losses: T|TensorLike, weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $losses = convertToTensor(losses, 'losses', 'computeWeightedLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'computeWeightedLoss');\n  }\n\n  const weightedLoss = ($weights == null) ? $losses : $losses.mul($weights);\n\n  if (reduction === Reduction.NONE) {\n    return weightedLoss as O;\n  }\n  if (reduction === Reduction.SUM) {\n    return weightedLoss.sum();\n  }\n  if (reduction === Reduction.MEAN) {\n    if ($weights == null) {\n      return weightedLoss.mean();\n    } else {\n      const broadcastFactor = $losses.size / $weights.size;\n      const result = weightedLoss.sum().div($weights.sum());\n      return broadcastFactor > 1 ? result.div(scalar(broadcastFactor)) :\n                                   result as O;\n    }\n  }\n  if (reduction === Reduction.SUM_BY_NONZERO_WEIGHTS) {\n    if ($weights == null) {\n      return weightedLoss.sum().div(scalar($losses.size));\n    } else {\n      const broadcastedWeights = $weights.mul(ones($losses.shape));\n\n      const numNonZeros =\n          broadcastedWeights.notEqual(scalar(0)).sum().toFloat();\n      return weightedLoss.sum().div(numNonZeros);\n    }\n  }\n\n  throw Error(`Unknown reduction: ${reduction}`);\n}\n\n/**\n * Computes the absolute difference loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction absoluteDifference_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'absoluteDifference');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'absoluteDifference');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'absoluteDifference');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in absoluteDifference: ');\n\n  const losses = $labels.sub($predictions).abs();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the mean squared error between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction meanSquaredError_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'meanSquaredError');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'meanSquaredError');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'meanSquaredError');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in meanSquaredError: ');\n\n  const losses = $labels.squaredDifference($predictions);\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the cosine distance loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param axis The dimension along which the cosine distance is computed.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction cosineDistance_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike, axis: number,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'cosineDistance');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'cosineDistance');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'cosineDistance');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in cosineDistance: ');\n\n  const one = scalar(1);\n  const losses = one.sub($labels.mul($predictions).sum(axis, true));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the Hinge loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction hingeLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $labels = convertToTensor(labels, 'labels', 'hingeLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'hingeLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'hingeLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in hingeLoss: ');\n\n  const one = scalar(1);\n  // Convert binary labels to (-1, 1)\n  $labels = scalar(2).mul($labels).sub(one);\n  const losses = one.sub($labels.mul($predictions)).relu();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the log loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param epsilon A small increment to avoid taking log of zero\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction logLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, epsilon = 1e-7,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'logLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'logLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'logLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in logLoss: ');\n\n  const one = scalar(1);\n  const epsilonScalar = scalar(epsilon);\n  const losses = $labels.mul($predictions.add(epsilonScalar).log())\n                     .neg()\n                     .sub(one.sub($labels).mul(\n                         one.sub($predictions).add(epsilonScalar).log()));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nfunction sigmoidCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, logits: T|TensorLike): O {\n  const $labels =\n      convertToTensor(labels, 'labels', 'sigmoidCrossEntropyWithLogits');\n  const $logits =\n      convertToTensor(logits, 'logits', 'sigmoidCrossEntropyWithLogits');\n  assertShapesMatch(\n      $labels.shape, $logits.shape, 'Error in sigmoidCrossEntropyWithLogits: ');\n\n  /**\n   * Implementation Details:\n   *\n   * For brevity, let `x = logits`, `z = labels`.  The logistic loss is\n   *     z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))\n   *   = z * -log(1 / (1 + exp(-x))) + (1 - z) * -log(exp(-x) / (1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (-log(exp(-x)) + log(1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (x + log(1 + exp(-x))\n   *   = (1 - z) * x + log(1 + exp(-x))\n   *   = x - x * z + log(1 + exp(-x))\n   *\n   *   For x < 0, to avoid overflow in exp(-x), we reformulate the above\n   *     x - x * z + log(1 + exp(-x))\n   *   = log(exp(x)) - x * z + log(1 + exp(-x))\n   *   = - x * z + log(1 + exp(x))\n   *\n   * Hence, to ensure stability and avoid overflow, the implementation uses\n   * this equivalent formulation:\n   *     max(x, 0) - x * z + log(1 + exp(-abs(x)))\n   */\n  const maxOutput = $logits.relu();\n  const outputXTarget = $logits.mul($labels);\n  const sigmoidOutput = $logits.abs().neg().exp().log1p();\n\n  return maxOutput.sub(outputXTarget).add(sigmoidOutput);\n}\n\n/**\n * Computes the sigmoid cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newMulticlassLabels = multiclassLabels * (1 - labelSmoothing)\n *                         + 0.5 * labelSmoothing\n *\n * @param multiClassLabels The ground truth output tensor of shape\n * [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction sigmoidCrossEntropy_<T extends Tensor, O extends Tensor>(\n    multiClassLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $multiClassLabels = convertToTensor(\n      multiClassLabels, 'multiClassLabels', 'sigmoidCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'sigmoidCrossEntropy');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'sigmoidCrossEntropy');\n  }\n  assertShapesMatch(\n      $multiClassLabels.shape, $logits.shape, 'Error in sigmoidCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const half = scalar(0.5);\n\n    $multiClassLabels = $multiClassLabels.mul(one.sub(labelSmoothingScalar))\n                            .add(half.mul(labelSmoothingScalar));\n  }\n  const losses = sigmoidCrossEntropyWithLogits_($multiClassLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the huber loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param delta Point where huber loss changes from quadratic to linear.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`.\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction huberLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, delta = 1.0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'huberLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'huberLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'huberLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in huberLoss: ');\n\n  const deltaScalar = scalar(delta);\n  const error = $predictions.sub($labels).abs();\n  const quadratic = minimum(error, deltaScalar);\n  const linear = error.sub(quadratic);\n\n  const losses =\n      scalar(0.5).mul(quadratic.square()).add(deltaScalar.mul(linear));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes softmax cross entropy between logits and labels.\n *\n * Measures the probability error in discrete classification tasks in which\n * the classes are mutually exclusive (each entry is in exactly one class).\n * For example, each CIFAR-10 image is labeled with one and only one label: an\n * image can be a dog or a truck, but not both.\n *\n * `NOTE`: While the classes are mutually exclusive, their probabilities need\n * not be. All that is required is that each row of labels is a valid\n * probability distribution. If they are not, the computation of the gradient\n * will be incorrect.\n *\n * `WARNING`: This op expects unscaled logits, since it performs a softmax on\n * logits internally for efficiency. Do not call this op with the output of\n * softmax, as it will produce incorrect results.\n *\n * logits and labels must have the same shape, e.g. [batch_size, num_classes]\n * and the same dtype.\n * @param labels The labels array.\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\nfunction softmaxCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T, logits: T, dim = -1): O {\n  if (dim === -1) {\n    dim = logits.rank - 1;\n  }\n\n  if (dim !== logits.rank - 1) {\n    throw Error(\n        `Softmax cross entropy along a non-last dimension is not yet ` +\n        `supported. Labels / logits was rank ${logits.rank} ` +\n        `and dim was ${dim}`);\n  }\n  // Use a custom gradient for numerical stability.\n  const customOp =\n      customGrad((labels: Tensor, logits: Tensor, save: GradSaveFunc) => {\n        // Reference:\n        //   1. http://cs231n.github.io/linear-classify/#softmax\n        //   2. https://blog.feedly.com/tricks-of-the-trade-logsumexp/\n        const keepDims = true;\n        const lse = logits.logSumExp([dim], keepDims);\n        const logResult = logits.toFloat().sub(lse);\n        save([labels, logResult]);\n\n        const costVector = logResult.mul(labels).neg();\n        const value: O = costVector.sum([dim]);\n\n        const gradFunc = (dy: O, saved: Tensor[]) => {\n          const [labels, logResult] = saved;\n          const dyShape = expandShapeToKeepDim(dy.shape, [dim]);\n          return [\n            dy.reshape(dyShape).mul(labels.toFloat().sub(logResult.exp())),\n            dy.reshape(dyShape).mul(logResult.exp().sub(labels.toFloat())),\n          ];\n        };\n        return {value, gradFunc};\n      });\n\n  return customOp(labels, logits);\n}\n\n/**\n * Computes the softmax cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newOnehotLabels = onehotLabels * (1 - labelSmoothing)\n *                         + labelSmoothing / numClasses\n *\n * @param onehotLabels One hot encoded labels\n *    [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or 1, and must be\n *    broadcastable to `loss`  of shape [batch_size]\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction softmaxCrossEntropy_<T extends Tensor, O extends Tensor>(\n    onehotLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $onehotLabels =\n      convertToTensor(onehotLabels, 'onehotLabels', 'softmaxCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'softmaxCrossEntropy');\n  let $weights: Tensor = null;\n\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'softmaxCrossEntropy');\n  }\n\n  assertShapesMatch(\n      $onehotLabels.shape, $logits.shape, 'Error in softmaxCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const numClasses = scalar($onehotLabels.shape[1]);\n\n    $onehotLabels = $onehotLabels.mul(one.sub(labelSmoothingScalar))\n                        .add(labelSmoothingScalar.div(numClasses));\n  }\n\n  const losses = softmaxCrossEntropyWithLogits_($onehotLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nexport const absoluteDifference = op({absoluteDifference_});\nexport const computeWeightedLoss = op({computeWeightedLoss_});\nexport const cosineDistance = op({cosineDistance_});\nexport const hingeLoss = op({hingeLoss_});\nexport const huberLoss = op({huberLoss_});\nexport const logLoss = op({logLoss_});\nexport const meanSquaredError = op({meanSquaredError_});\nexport const sigmoidCrossEntropy = op({sigmoidCrossEntropy_});\nexport const softmaxCrossEntropy = op({softmaxCrossEntropy_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Linear algebra ops.\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose} from '../globals';\nimport {Tensor, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {squeeze, stack, unstack} from './array_ops';\nimport {sub} from './binary_ops';\nimport {split} from './concat_split';\nimport {eye} from './eye';\nimport {logicalAnd, where} from './logical_ops';\nimport {norm} from './norm';\nimport {op} from './operation';\nimport {sum} from './reduction_ops';\nimport {range, scalar, tensor2d, zeros} from './tensor_ops';\n\n/**\n * Copy a tensor setting everything outside a central band in each innermost\n * matrix to zero.\n *\n * The band part is computed as follows: Assume input has `k` dimensions\n * `[I, J, K, ..., M, N]`, then the output is a tensor with the same shape where\n * `band[i, j, k, ..., m, n] = in_band(m, n) * input[i, j, k, ..., m, n]`.\n * The indicator function\n * `in_band(m, n) = (num_lower < 0 || (m-n) <= num_lower))`\n * `&& (num_upper < 0 || (n-m) <= num_upper)`\n *\n * ```js\n * const x = tf.tensor2d([[ 0,  1,  2, 3],\n *                        [-1,  0,  1, 2],\n *                        [-2, -1,  0, 1],\n *                        [-3, -2, -1, 0]]);\n * let y = tf.linalg.bandPart(x, 1, -1);\n * y.print(); // [[ 0,  1,  2, 3],\n *            //  [-1,  0,  1, 2],\n *            //  [ 0, -1,  0, 1],\n *            //  [ 0, 0 , -1, 0]]\n * let z = tf.linalg.bandPart(x, 2, 1);\n * z.print(); // [[ 0,  1,  0, 0],\n *            //  [-1,  0,  1, 0],\n *            //  [-2, -1,  0, 1],\n *            //  [ 0, -2, -1, 0]]\n * ```\n *\n * @param x Rank `k` tensor\n * @param numLower Number of subdiagonals to keep.\n *   If negative, keep entire lower triangle.\n * @param numUpper Number of subdiagonals to keep.\n *   If negative, keep entire upper triangle.\n * @returns Rank `k` tensor of the same shape as input.\n *   The extracted banded tensor.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction bandPart_<T extends Tensor>(\n    a: T|TensorLike, numLower: number, numUpper: number): T {\n  if (numLower % 1 !== 0) {\n    throw new Error(\n        `bandPart(): numLower must be an integer, got ${numLower}.`);\n  }\n  if (numUpper % 1 !== 0) {\n    throw new Error(\n        `bandPart(): numUpper must be an integer, got ${numUpper}.`);\n  }\n\n  const $a = convertToTensor(a, 'a', 'bandPart');\n\n  if ($a.rank < 2) {\n    throw new Error(`bandPart(): Rank must be at least 2, got ${$a.rank}.`);\n  }\n\n  const shape = $a.shape, [M, N] = $a.shape.slice(-2);\n\n  if (!(numLower <= M)) {\n    throw new Error(\n        `bandPart(): numLower (${numLower})` +\n        ` must not be greater than the number of rows (${M}).`);\n  }\n  if (!(numUpper <= N)) {\n    throw new Error(\n        `bandPart(): numUpper (${numUpper})` +\n        ` must not be greater than the number of columns (${N}).`);\n  }\n\n  if (numLower < 0) {\n    numLower = M;\n  }\n  if (numUpper < 0) {\n    numUpper = N;\n  }\n\n  const i = range(0, M, 1, 'int32').reshape([-1, 1]),\n        j = range(0, N, 1, 'int32'), ij = sub(i, j);\n\n  const inBand = logicalAnd(\n      ij.lessEqual(scalar(+numLower, 'int32')),\n      ij.greaterEqual(scalar(-numUpper, 'int32')));\n\n  const zero = zeros([M, N], $a.dtype);\n\n  return stack(unstack($a.reshape([-1, M, N]))\n                   .map(mat => where(inBand, mat, zero)))\n             .reshape(shape) as T;\n}\n\n/**\n * Gram-Schmidt orthogonalization.\n *\n * ```js\n * const x = tf.tensor2d([[1, 2], [3, 4]]);\n * let y = tf.linalg.gramSchmidt(x);\n * y.print();\n * console.log('Othogonalized:');\n * y.dot(y.transpose()).print();  // should be nearly the identity matrix.\n * console.log('First row direction maintained:');\n * const data = await y.array();\n * console.log(data[0][1] / data[0][0]);  // should be nearly 2.\n * ```\n *\n * @param xs The vectors to be orthogonalized, in one of the two following\n *   formats:\n *   - An Array of `tf.Tensor1D`.\n *   - A `tf.Tensor2D`, i.e., a matrix, in which case the vectors are the rows\n *     of `xs`.\n *   In each case, all the vectors must have the same length and the length\n *   must be greater than or equal to the number of vectors.\n * @returns The orthogonalized and normalized vectors or matrix.\n *   Orthogonalization means that the vectors or the rows of the matrix\n *   are orthogonal (zero inner products). Normalization means that each\n *   vector or each row of the matrix has an L2 norm that equals `1`.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction gramSchmidt_(xs: Tensor1D[]|Tensor2D): Tensor1D[]|Tensor2D {\n  let inputIsTensor2D: boolean;\n  if (Array.isArray(xs)) {\n    inputIsTensor2D = false;\n    assert(\n        xs != null && xs.length > 0,\n        () => 'Gram-Schmidt process: input must not be null, undefined, or ' +\n            'empty');\n    const dim = xs[0].shape[0];\n    for (let i = 1; i < xs.length; ++i) {\n      assert(\n          xs[i].shape[0] === dim,\n          () =>\n              'Gram-Schmidt: Non-unique lengths found in the input vectors: ' +\n              `(${(xs as Tensor1D[])[i].shape[0]} vs. ${dim})`);\n    }\n  } else {\n    inputIsTensor2D = true;\n    xs = split(xs, xs.shape[0], 0).map(x => squeeze(x, [0]));\n  }\n\n  assert(\n      xs.length <= xs[0].shape[0],\n      () => `Gram-Schmidt: Number of vectors (${\n                (xs as Tensor1D[]).length}) exceeds ` +\n          `number of dimensions (${(xs as Tensor1D[])[0].shape[0]}).`);\n\n  const ys: Tensor1D[] = [];\n  const xs1d = xs;\n  for (let i = 0; i < xs.length; ++i) {\n    ys.push(ENGINE.tidy(() => {\n      let x = xs1d[i];\n      if (i > 0) {\n        for (let j = 0; j < i; ++j) {\n          const proj = sum(ys[j].mulStrict(x)).mul(ys[j]);\n          x = x.sub(proj);\n        }\n      }\n      return x.div(norm(x, 'euclidean'));\n    }));\n  }\n\n  if (inputIsTensor2D) {\n    return stack(ys, 0) as Tensor2D;\n  } else {\n    return ys;\n  }\n}\n\n/**\n * Compute QR decomposition of m-by-n matrix using Householder transformation.\n *\n * Implementation based on\n *   [http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf]\n * (http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf)\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [3, 4]]);\n * let [q, r] = tf.linalg.qr(a);\n * console.log('Q');\n * q.print();\n * console.log('R');\n * r.print();\n * console.log('Orthogonalized');\n * q.dot(q.transpose()).print()  // should be nearly the identity matrix.\n * console.log('Reconstructed');\n * q.dot(r).print(); // should be nearly [[1, 2], [3, 4]];\n * ```\n *\n * @param x The `tf.Tensor` to be QR-decomposed. Must have rank >= 2. Suppose\n *   it has the shape `[..., M, N]`.\n * @param fullMatrices An optional boolean parameter. Defaults to `false`.\n *   If `true`, compute full-sized `Q`. If `false` (the default),\n *   compute only the leading N columns of `Q` and `R`.\n * @returns An `Array` of two `tf.Tensor`s: `[Q, R]`. `Q` is a unitary matrix,\n *   i.e., its columns all have unit norm and are mutually orthogonal.\n *   If `M >= N`,\n *     If `fullMatrices` is `false` (default),\n *       - `Q` has a shape of `[..., M, N]`,\n *       - `R` has a shape of `[..., N, N]`.\n *     If `fullMatrices` is `true` (default),\n *       - `Q` has a shape of `[..., M, M]`,\n *       - `R` has a shape of `[..., M, N]`.\n *   If `M < N`,\n *     - `Q` has a shape of `[..., M, M]`,\n *     - `R` has a shape of `[..., M, N]`.\n * @throws If the rank of `x` is less than 2.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction qr_(x: Tensor, fullMatrices = false): [Tensor, Tensor] {\n  if (x.rank < 2) {\n    throw new Error(\n        `qr() requires input tensor to have a rank >= 2, but got rank ${\n            x.rank}`);\n  } else if (x.rank === 2) {\n    return qr2d(x as Tensor2D, fullMatrices);\n  } else {\n    // Rank > 2.\n    // TODO(cais): Below we split the input into individual 2D tensors,\n    //   perform QR decomposition on them and then stack the results back\n    //   together. We should explore whether this can be parallelized.\n    const outerDimsProd = x.shape.slice(0, x.shape.length - 2)\n                              .reduce((value, prev) => value * prev);\n    const x2ds = unstack(\n        x.reshape([\n          outerDimsProd, x.shape[x.shape.length - 2],\n          x.shape[x.shape.length - 1]\n        ]),\n        0);\n    const q2ds: Tensor2D[] = [];\n    const r2ds: Tensor2D[] = [];\n    x2ds.forEach(x2d => {\n      const [q2d, r2d] = qr2d(x2d as Tensor2D, fullMatrices);\n      q2ds.push(q2d);\n      r2ds.push(r2d);\n    });\n    const q = stack(q2ds, 0).reshape(x.shape);\n    const r = stack(r2ds, 0).reshape(x.shape);\n    return [q, r];\n  }\n}\n\nfunction qr2d(x: Tensor2D, fullMatrices = false): [Tensor2D, Tensor2D] {\n  return ENGINE.tidy(() => {\n    if (x.shape.length !== 2) {\n      throw new Error(\n          `qr2d() requires a 2D Tensor, but got a ${x.shape.length}D Tensor.`);\n    }\n\n    const m = x.shape[0];\n    const n = x.shape[1];\n\n    let q = eye(m);     // Orthogonal transform so far.\n    let r = x.clone();  // Transformed matrix so far.\n\n    const one2D = tensor2d([[1]], [1, 1]);\n    let w: Tensor2D = one2D.clone();\n\n    const iters = m >= n ? n : m;\n    for (let j = 0; j < iters; ++j) {\n      // This tidy within the for-loop ensures we clean up temporary\n      // tensors as soon as they are no longer needed.\n      const rTemp = r;\n      const wTemp = w;\n      const qTemp = q;\n      [w, r, q] = ENGINE.tidy((): [Tensor2D, Tensor2D, Tensor2D] => {\n        // Find H = I - tau * w * w', to put zeros below R(j, j).\n        const rjEnd1 = r.slice([j, j], [m - j, 1]);\n        const normX = rjEnd1.norm();\n        const rjj = r.slice([j, j], [1, 1]);\n\n        // The sign() function returns 0 on 0, which causes division by zero.\n        const s = tensor2d([[-1]]).where(rjj.greater(0), tensor2d([[1]]));\n\n        const u1 = rjj.sub(s.mul(normX));\n        const wPre = rjEnd1.div(u1);\n        if (wPre.shape[0] === 1) {\n          w = one2D.clone();\n        } else {\n          w = one2D.concat(\n              wPre.slice([1, 0], [wPre.shape[0] - 1, wPre.shape[1]]) as\n                  Tensor2D,\n              0);\n        }\n        const tau = s.matMul(u1).div(normX).neg() as Tensor2D;\n\n        // -- R := HR, Q := QH.\n        const rjEndAll = r.slice([j, 0], [m - j, n]);\n        const tauTimesW: Tensor2D = tau.mul(w);\n        const wT: Tensor2D = w.transpose();\n        if (j === 0) {\n          r = rjEndAll.sub(tauTimesW.matMul(wT.matMul(rjEndAll)));\n        } else {\n          const rTimesTau: Tensor2D =\n              rjEndAll.sub(tauTimesW.matMul(wT.matMul(rjEndAll)));\n          r = r.slice([0, 0], [j, n]).concat(rTimesTau, 0);\n        }\n        const tawTimesWT: Tensor2D = tauTimesW.transpose();\n        const qAllJEnd = q.slice([0, j], [m, q.shape[1] - j]);\n        if (j === 0) {\n          q = qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tawTimesWT));\n        } else {\n          const qTimesTau: Tensor2D =\n              qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tawTimesWT));\n          q = q.slice([0, 0], [m, j]).concat(qTimesTau, 1);\n        }\n        return [w, r, q];\n      });\n      dispose([rTemp, wTemp, qTemp]);\n    }\n\n    if (!fullMatrices && m > n) {\n      q = q.slice([0, 0], [m, n]);\n      r = r.slice([0, 0], [n, n]);\n    }\n\n    return [q, r];\n  }) as [Tensor2D, Tensor2D];\n}\n\nexport const bandPart = op({bandPart_});\nexport const gramSchmidt = op({gramSchmidt_});\nexport const qr = op({qr_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {nonMaxSuppressionV3, nonMaxSuppressionV5} from '../backends/non_max_suppression_impl';\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Bilinear resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeBilinear_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeBilinear');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeBilinear: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () => `Error in resizeBilinear: new shape must 2D, but got shape ` +\n          `${size}.`);\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n\n  const [newHeight, newWidth] = size;\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeBilinear(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      x: () => ENGINE.runKernelFunc(\n          backend => backend.resizeBilinearBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(\n      forward, {x: batchImages}, backward, 'ResizeBilinear',\n      {alignCorners, newHeight, newWidth});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * NearestNeighbor resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeNearestNeighbor_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeNearestNeighbor');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeNearestNeighbor: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () =>\n          `Error in resizeNearestNeighbor: new shape must 2D, but got shape ` +\n          `${size}.`);\n  util.assert(\n      $images.dtype === 'float32' || $images.dtype === 'int32',\n      () => '`images` must have `int32` or `float32` as dtype');\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n  const [newHeight, newWidth] = size;\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeNearestNeighbor(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      batchImages: () => ENGINE.runKernelFunc(\n          backend => backend.resizeNearestNeighborBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(forward, {batchImages}, backward);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @return A 1D tensor with the selected box indices.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppression_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Tensor1D {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold};\n  return ENGINE.runKernelFunc(\n      b => b.nonMaxSuppression(\n          $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold),\n      {boxes: $boxes, scores: $scores}, null /* grad */, 'NonMaxSuppressionV3',\n      attrs);\n}\n\n/** This is the async version of `nonMaxSuppression` */\nasync function nonMaxSuppressionAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Promise<Tensor1D> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV3(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * This op also supports a Soft-NMS mode (c.f.\n * Bodla et al, https://arxiv.org/abs/1704.04503) where boxes reduce the score\n * of other overlapping boxes, therefore favoring different regions of the image\n * with high scores. To enable this Soft-NMS mode, set the `softNmsSigma`\n * parameter to be larger than 0.\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @param softNmsSigma A float representing the sigma parameter for Soft NMS.\n *     When sigma is 0, it falls back to nonMaxSuppression.\n * @return A map with the following properties:\n *     - selectedIndices: A 1D tensor with the selected box indices.\n *     - selectedScores: A 1D tensor with the corresponding scores for each\n *       selected box.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppressionWithScore_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): NamedTensorMap {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n\n  const result = ENGINE.runKernel(\n                     'NonMaxSuppressionV5', {boxes: $boxes, scores: $scores},\n                     attrs) as Tensor[];\n\n  return {selectedIndices: result[0], selectedScores: result[1]};\n}\n\n/** This is the async version of `nonMaxSuppressionWithScore` */\nasync function nonMaxSuppressionWithScoreAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): Promise<NamedTensorMap> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV5(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\nfunction nonMaxSuppSanityCheck(\n    boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma?: number): {\n  maxOutputSize: number,\n  iouThreshold: number,\n  scoreThreshold: number,\n  softNmsSigma: number\n} {\n  if (iouThreshold == null) {\n    iouThreshold = 0.5;\n  }\n  if (scoreThreshold == null) {\n    scoreThreshold = Number.NEGATIVE_INFINITY;\n  }\n  if (softNmsSigma == null) {\n    softNmsSigma = 0.0;\n  }\n\n  const numBoxes = boxes.shape[0];\n  maxOutputSize = Math.min(maxOutputSize, numBoxes);\n\n  util.assert(\n      0 <= iouThreshold && iouThreshold <= 1,\n      () => `iouThreshold must be in [0, 1], but was '${iouThreshold}'`);\n  util.assert(\n      boxes.rank === 2,\n      () => `boxes must be a 2D tensor, but was of rank '${boxes.rank}'`);\n  util.assert(\n      boxes.shape[1] === 4,\n      () =>\n          `boxes must have 4 columns, but 2nd dimension was ${boxes.shape[1]}`);\n  util.assert(scores.rank === 1, () => 'scores must be a 1D tensor');\n  util.assert(\n      scores.shape[0] === numBoxes,\n      () => `scores has incompatible shape with boxes. Expected ${numBoxes}, ` +\n          `but was ${scores.shape[0]}`);\n  util.assert(\n      0 <= softNmsSigma && softNmsSigma <= 1,\n      () => `softNmsSigma must be in [0, 1], but was '${softNmsSigma}'`);\n  return {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n}\n\n/**\n * Extracts crops from the input image tensor and resizes them using bilinear\n * sampling or nearest neighbor sampling (possibly with aspect ratio change)\n * to a common output size specified by crop_size.\n *\n * @param image 4d tensor of shape `[batch,imageHeight,imageWidth, depth]`,\n *     where imageHeight and imageWidth must be positive, specifying the\n *     batch of images from which to take crops\n * @param boxes 2d float32 tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the normalized\n *     coordinates of the box in the boxInd[i]'th image in the batch\n * @param boxInd 1d int32 tensor of shape `[numBoxes]` with values in range\n *     `[0, batch)` that specifies the image that the `i`-th box refers to.\n * @param cropSize 1d int32 tensor of 2 elements `[cropHeigh, cropWidth]`\n *     specifying the size to which all crops are resized to.\n * @param method Optional string from `'bilinear' | 'nearest'`,\n *     defaults to bilinear, which specifies the sampling method for resizing\n * @param extrapolationValue A threshold for deciding when to remove boxes based\n *     on score. Defaults to 0.\n * @return A 4D tensor of the shape `[numBoxes,cropHeight,cropWidth,depth]`\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction cropAndResize_(\n    image: Tensor4D|TensorLike,\n    boxes: Tensor2D|TensorLike,\n    boxInd: Tensor1D|TensorLike,\n    cropSize: [number, number],\n    method?: 'bilinear'|'nearest',\n    extrapolationValue?: number,\n    ): Tensor4D {\n  const $image = convertToTensor(image, 'image', 'cropAndResize');\n  const $boxes = convertToTensor(boxes, 'boxes', 'cropAndResize', 'float32');\n  const $boxInd = convertToTensor(boxInd, 'boxInd', 'cropAndResize', 'int32');\n  method = method || 'bilinear';\n  extrapolationValue = extrapolationValue || 0;\n\n  const numBoxes = $boxes.shape[0];\n\n  util.assert(\n      $image.rank === 4,\n      () => 'Error in cropAndResize: image must be rank 4,' +\n          `but got rank ${$image.rank}.`);\n  util.assert(\n      $boxes.rank === 2 && $boxes.shape[1] === 4,\n      () => `Error in cropAndResize: boxes must be have size [${numBoxes},4] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      $boxInd.rank === 1 && $boxInd.shape[0] === numBoxes,\n      () => `Error in cropAndResize: boxInd must be have size [${numBoxes}] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      cropSize.length === 2,\n      () => `Error in cropAndResize: cropSize must be of length 2, but got ` +\n          `length ${cropSize.length}.`);\n  util.assert(\n      cropSize[0] >= 1 && cropSize[1] >= 1,\n      () => `cropSize must be atleast [1,1], but was ${cropSize}`);\n  util.assert(\n      method === 'bilinear' || method === 'nearest',\n      () => `method must be bilinear or nearest, but was ${method}`);\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) =>\n      backend.cropAndResize(\n          $image, $boxes, $boxInd, cropSize, method, extrapolationValue);\n\n  const res = ENGINE.runKernelFunc(\n      forward, {images: $image, boxes: $boxes, boxInd: $boxInd}, null /* der */,\n      'CropAndResize', {method, extrapolationValue, cropSize});\n  return res;\n}\n\nexport const resizeBilinear = op({resizeBilinear_});\nexport const resizeNearestNeighbor = op({resizeNearestNeighbor_});\nexport const nonMaxSuppression = op({nonMaxSuppression_});\nexport const nonMaxSuppressionAsync = nonMaxSuppressionAsync_;\nexport const nonMaxSuppressionWithScore = op({nonMaxSuppressionWithScore_});\nexport const nonMaxSuppressionWithScoreAsync = nonMaxSuppressionWithScoreAsync_;\nexport const cropAndResize = op({cropAndResize_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\n\nimport {Conv2DInfo} from './conv_util';\n\nexport type Activation = 'linear'|'relu'|'prelu'|'elu'|'relu6';\n\nexport type FusedBatchMatMulConfig = {\n  a: Tensor3D,\n  b: Tensor3D,\n  transposeA: boolean,\n  transposeB: boolean,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\nexport type FusedConv2DConfig = {\n  input: Tensor4D,\n  filter: Tensor4D,\n  convInfo: Conv2DInfo,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\n// Whether we should call fused ops.\nexport const shouldFuse = (gradientDepth: number, activation: Activation) => {\n  const gradientMode = gradientDepth > 0;\n  return !gradientMode || activation === 'linear';\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {conv2dDerFilter, conv2dDerInput, depthwiseConv2dDerFilter, depthwiseConv2dDerInput} from '../ops/conv';\nimport * as conv_util from '../ops/conv_util';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './add';\nimport * as broadcast_util from './broadcast_util';\nimport {conv2d as unfusedConv2d, depthwiseConv2d as unfusedDepthwiseConv2d} from './conv';\nimport {Activation, shouldFuse} from './fused_util';\nimport {matMul as unfusedMatMul} from './matmul';\nimport {elu, prelu, relu, relu6} from './relu_ops';\n\n// Returns gradient for fused activation.\nconst getFusedDyActivation =\n    (dy: Tensor, y: Tensor, activation: Activation): Tensor => {\n      if (activation == null || activation === 'linear') {\n        return dy;\n      }\n      if (activation === 'relu') {\n        return dy.mul(y.step());\n      }\n      throw new Error(\n          `Gradient for activation ${activation} has not been ` +\n          `implemented yet.`);\n    };\n\n// Returns gradient for fused bias.\nconst getFusedBiasGradient = (bias: Tensor, dyActivation: Tensor): Tensor => {\n  let res = dyActivation;\n  const reduceAxes =\n      broadcast_util.getReductionAxes(bias.shape, dyActivation.shape);\n  if (reduceAxes.length > 0) {\n    res = res.sum(reduceAxes);\n  }\n  return res.reshape(bias.shape);\n};\n\nconst applyActivation =\n    (x: Tensor, activation: Activation, preluActivationWeights?: Tensor):\n        Tensor => {\n          if (activation === 'linear') {\n            return x;\n          } else if (activation === 'relu') {\n            return relu(x);\n          } else if (activation === 'elu') {\n            return elu(x);\n          } else if (activation === 'relu6') {\n            return relu6(x);\n          } else if (activation === 'prelu') {\n            return prelu(x, preluActivationWeights);\n          }\n          throw new Error(`Unknown fused activation ${activation}.`);\n        };\n\n/**\n * Computes the dot product of two matrices with optional activation and bias.\n *\n * ```js\n * const a = tf.tensor2d([-1, -2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const bias = tf.tensor2d([1, 2], [1, 2]);\n *\n * tf.fused.matMul({a, b, bias, activation: 'relu'}).print();\n * ```\n *\n * @param obj An object with the following properties:\n * - `a` First matrix in dot product operation.\n * - `b` Second matrix in dot product operation.\n * - `transposeA` If true, `a` is transposed before multiplication.\n * - `transposeB` If true, `b` is transposed before multiplication.\n * - `bias` Matrix to be added to the result.\n * - `activation` Name of activation kernel (defaults to `linear`).\n * - `preluActivationWeights` Tensor of prelu weights.\n */\nfunction fusedMatMul_<T extends Tensor>({\n  a,\n  b,\n  transposeA = false,\n  transposeB = false,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  a: T|TensorLike,\n  b: T|TensorLike,\n  transposeA?: boolean,\n  transposeB?: boolean,\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedMatMul(a, b, transposeA, transposeB);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  let $a = convertToTensor(a, 'a', 'fused matMul');\n  let $b = convertToTensor(b, 'b', 'fused matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () =>\n          `Error in fused matMul: inputs must have the same rank of at least ` +\n          `2, got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in fused matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused matMul');\n    [$bias] = makeTypesMatch($bias, $a);\n\n    broadcast_util.assertAndGetBroadcastShape(outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused matMul');\n  }\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D, y] = saved;\n    const dyActivation = getFusedDyActivation(dy, y, activation);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    if (!transposeA && !transposeB) {\n      return Object.assign(\n          {\n            a: () => dyActivation.matMul(b3D as Tensor3D, false, true),\n            b: () => a3D.matMul(dyActivation, true, false)\n          },\n          biasGradient);\n    } else if (!transposeA && transposeB) {\n      return Object.assign(\n          {\n            a: () => dyActivation.matMul(b3D as Tensor3D, false, false),\n            b: () => dyActivation.matMul(a3D as Tensor3D, true, false)\n          },\n          biasGradient);\n    } else if (transposeA && !transposeB) {\n      return Object.assign(\n          {\n            a: () => b3D.matMul(dyActivation, false, true),\n            b: () => a3D.matMul(dyActivation, false, false)\n          },\n          biasGradient);\n    } else {\n      return Object.assign(\n          {\n            a: () => b3D.matMul(dyActivation, true, true),\n            b: () => dyActivation.matMul(a3D as Tensor3D, true, true)\n          },\n          biasGradient);\n    }\n  };\n\n  const inputs:\n      {a: Tensor, b: Tensor,\n       bias?: Tensor,\n       preluActivationWeights?: Tensor} = {a: a3D, b: b3D};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [a3D, b3D];\n  const outputsToSave = [true];\n\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.fusedBatchMatMul({\n          a: a3D,\n          b: b3D,\n          transposeA,\n          transposeB,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([a3D, b3D, y]);\n        return y;\n      },\n      inputs, grad, '_FusedMatMul', {transposeA, transposeB, activation},\n      inputsToSave, outputsToSave);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x, optionally fused with adding a\n * bias and applying an activation.\n *\n * ```js\n * const inputDepth = 2;\n * const inShape = [2, 2, 2, inputDepth];\n * const outputDepth = 2;\n * const fSize = 1;\n * const pad = 0;\n * const strides = 1;\n *\n * const x = tf.tensor4d( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n * 16], inShape);\n * const w = tf.tensor4d([-1, 1, -2, 0.5], [fSize, fSize, inputDepth,\n * outputDepth]);\n *\n * tf.fused.conv2d({ x, filter: w, strides, pad, dataFormat: 'NHWC',\n * dilations: [1, 1], bias: tf.scalar(5), activation: 'relu' }).print();\n * ```\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid` output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`) to be\n *     applied\n *      after biasAdd.\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  activation = activation || 'linear';\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused conv2d: input must be rank 4, but got rank ` +\n          `${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${x4D.shape[3]}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NHWC',\n      () => `Error in conv2d: got dataFormat of ${\n          dataFormat} but only NHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused conv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D, y] = saved as [Tensor4D, Tensor4D, Tensor4D];\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused conv2D: ' +\n            `dilation rates greater than 1 ` +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () =>\n              conv2dDerInput(x4D.shape, dyActivation, $filter, strides, pad),\n          filter: () =>\n              conv2dDerFilter(x4D, dyActivation, $filter.shape, strides, pad)\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];  // Save the only output.\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedConv2d({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedConv2D', {convInfo, activation}, inputsToSave,\n      outputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes depthwise 2D convolution, optionally fused with adding a\n * bias and applying an activation.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`).\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedDepthwiseConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedDepthwiseConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused depthwiseConv2d: filter must be rank 4, ` +\n          `but got rank ${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in fused depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in fused depthwiseConv2d: Either strides or dilations must ' +\n          `be 1. Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused depthwiseConv2d: pad must be an integer when ` +\n            `using dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused depthwiseConv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [$filter, x4D, y] = saved;\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () => depthwiseConv2dDerInput(\n              (x4D as Tensor4D).shape, dyActivation, $filter as Tensor4D,\n              convInfo),\n          filter: () => depthwiseConv2dDerFilter(\n              x4D as Tensor4D, dyActivation, ($filter as Tensor4D).shape,\n              convInfo),\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedDepthwiseConv2D({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedDepthwiseConv2D', {convInfo, activation},\n      inputsToSave, outputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nexport const matMul = op({fusedMatMul_});\nexport const conv2d = op({fusedConv2d_});\nexport const depthwiseConv2d = op({fusedDepthwiseConv2d_});\n\nexport {Activation};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../kernel_registry';\nimport {assert} from '../../util';\n\nexport function assertNotComplex(\n    tensor: TensorInfo|TensorInfo[], opName: string): void {\n  if (!Array.isArray(tensor)) {\n    tensor = [tensor];\n  }\n  tensor.forEach(t => {\n    if (t != null) {\n      assert(\n          t.dtype !== 'complex64',\n          () => `${opName} does not support complex64 tensors.`);\n    }\n  });\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as ops from '../../ops/ops';\nimport {buffer} from '../../ops/ops';\nimport {TensorBuffer} from '../../tensor';\nimport {DataType, Rank, TypedArray} from '../../types';\n\nexport function pool(\n    xValues: TypedArray, xShape: number[], dtype: DataType, strides: number[],\n    convInfo: Conv2DInfo, poolType: 'max'|'avg'): TensorBuffer<Rank, DataType> {\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padTop = convInfo.padInfo.top;\n  const padLeft = convInfo.padInfo.left;\n\n  const initialValue =\n      (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                            Number.POSITIVE_INFINITY);\n\n  const output = ops.buffer(convInfo.outShape, dtype);\n  const outputVals = output.values;\n\n  const outputBatchStrides =\n      convInfo.outShape[1] * convInfo.outShape[2] * convInfo.outShape[3];\n  const outputRowStrides = convInfo.outShape[2] * convInfo.outShape[3];\n  const outputColStrides = convInfo.outShape[3];\n\n  for (let b = 0; b < convInfo.batchSize; ++b) {\n    const outputBatchOffset = b * outputBatchStrides;\n    const inputBatchOffset = b * strides[0];\n    for (let d = 0; d < convInfo.inChannels; ++d) {\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const xRCorner = yR * strideHeight - padTop;\n        const xRMin = Math.max(0, xRCorner);\n        const xRMax =\n            Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n        const outputRowOffset = outputBatchOffset + yR * outputRowStrides;\n        for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n          const xCCorner = yC * strideWidth - padLeft;\n          const xCMin = Math.max(0, xCCorner);\n          const xCMax =\n              Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n          let minMaxValue = initialValue;\n          let avgValue = 0;\n          let count = 0;\n          for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n            const xROffset = inputBatchOffset + xR * strides[1];\n            for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n              const xCOffset = xROffset + xC * strides[2];\n              const pixel = xValues[xCOffset + d];\n              if ((poolType === 'max' && pixel > minMaxValue)) {\n                minMaxValue = pixel;\n              } else if (poolType === 'avg') {\n                avgValue += pixel;\n                count++;\n              }\n            }\n            if (isNaN(minMaxValue)) {\n              break;\n            }\n          }\n          const outputOffset = outputRowOffset + yC * outputColStrides + d;\n          outputVals[outputOffset] =\n              poolType === 'avg' ? avgValue / count : minMaxValue;\n        }\n      }\n    }\n  }\n  return output;\n}\n\nexport function maxPoolPositions(\n    xValues: TypedArray, xShape: number[], dtype: DataType,\n    convInfo: Conv2DInfo, flattenPositions = false,\n    includeBatchInIndex = false): TensorBuffer<Rank, 'int32'> {\n  const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padTop = convInfo.padInfo.top;\n  const padLeft = convInfo.padInfo.left;\n\n  const xBuf = buffer(xShape, dtype, xValues);\n  for (let b = 0; b < convInfo.batchSize; ++b) {\n    for (let d = 0; d < convInfo.inChannels; ++d) {\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const xRCorner = yR * strideHeight - padTop;\n        let xRMin = xRCorner;\n        while (xRMin < 0) {\n          xRMin += dilationHeight;\n        }\n        // const xRMin = Math.max(0, xRCorner);\n        const xRMax =\n            Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n        for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n          const xCCorner = yC * strideWidth - padLeft;\n          let xCMin = xCCorner;\n          while (xCMin < 0) {\n            xCMin += dilationWidth;\n          }\n          const xCMax =\n              Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n          let maxValue = Number.NEGATIVE_INFINITY;\n          let maxPosition = -1;\n\n          for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n            const wR = xR - xRCorner;\n            for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n              const wC = xC - xCCorner;\n              const pixel = xBuf.get(b, xR, xC, d);\n              if (pixel > maxValue) {\n                maxValue = pixel as number;\n                if (flattenPositions) {\n                  maxPosition = includeBatchInIndex ?\n                      ((b * convInfo.inHeight + xR) * convInfo.inWidth + xC) *\n                              convInfo.inChannels +\n                          d :\n                      (xR * convInfo.inWidth + xC) * convInfo.inChannels + d;\n                } else {\n                  maxPosition = wR * effectiveFilterWidth + wC;\n                }\n              }\n            }\n          }\n          maxPositions.set(maxPosition, b, yR, yC, d);\n        }\n      }\n    }\n  }\n  return maxPositions;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {ENGINE} from '../../engine';\nimport {env} from '../../environment';\nimport {warn} from '../../log';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport * as concat_util from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {div} from '../../ops/div';\nimport * as erf_util from '../../ops/erf_util';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as ops from '../../ops/ops';\nimport {buffer, scalar, tensor, tensor4d} from '../../ops/ops';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as selu_util from '../../ops/selu_util';\nimport {computeFlatOffset, computeOutShape, isSliceContinous} from '../../ops/slice_util';\nimport {transpose} from '../../ops/transpose';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer} from '../../tensor';\nimport {BackendValues, DataType, DataValues, NumericDataType, Rank, ShapeMap, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, inferDtype, now, sizeFromShape} from '../../util';\nimport {BackendTimingInfo, DataStorage, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport * as complex_util from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {assertNotComplex} from './cpu_util';\nimport {maxPoolPositions, pool} from './pool_utils';\n\nfunction mapActivation(\n    backend: MathBackendCPU, x: Tensor, activation: Activation,\n    preluActivationWeights?: Tensor): Tensor {\n  if (activation === 'linear') {\n    return backend.linear(x);\n  } else if (activation === 'relu') {\n    return backend.relu(x);\n  } else if (activation === 'elu') {\n    return backend.elu(x);\n  } else if (activation === 'relu6') {\n    return backend.relu6(x);\n  } else if (activation === 'prelu') {\n    return backend.prelu(x, preluActivationWeights);\n  }\n  throw new Error(\n      `Activation ${activation} has not been implemented for the CPU backend.`);\n}\n\nexport interface TensorData<D extends DataType> {\n  values?: BackendValues;\n  dtype: D;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field.\n  // TODO(smilkov): Replace Tensor with TensorInfo when you modularize ops\n  // that work with complex tensors.\n  complexTensors?: {real: Tensor, imag: Tensor};\n}\n\nexport class MathBackendCPU extends KernelBackend {\n  public blockSize = 48;\n\n  data: DataStorage<TensorData<DataType>>;\n  private firstUse = true;\n\n  constructor() {\n    super();\n    this.data = new DataStorage(this, ENGINE);\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (this.firstUse) {\n      this.firstUse = false;\n      if (env().get('IS_NODE')) {\n        warn(\n            '\\n============================\\n' +\n            'Hi there 👋. Looks like you are running TensorFlow.js in ' +\n            'Node.js. To speed things up dramatically, install our node ' +\n            'backend, which binds to TensorFlow C++, by running ' +\n            'npm i @tensorflow/tfjs-node, ' +\n            'or npm i @tensorflow/tfjs-node-gpu if you have CUDA. ' +\n            'Then call require(\\'@tensorflow/tfjs-node\\'); (-gpu ' +\n            'suffix for CUDA) at the start of your program. ' +\n            'Visit https://github.com/tensorflow/tfjs-node for more details.' +\n            '\\n============================');\n      }\n    }\n    const dataId = {};\n    this.data.set(dataId, {values, dtype});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    this.data.set(dataId, {values, dtype});\n  }\n\n  numDataIds(): number {\n    return this.data.numDataIds();\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    return this.readSync(dataId);\n  }\n  readSync(dataId: DataId): BackendValues {\n    const {dtype, complexTensors} = this.data.get(dataId);\n    if (dtype === 'complex64') {\n      const realValues =\n          this.readSync(complexTensors.real.dataId) as Float32Array;\n      const imagValues =\n          this.readSync(complexTensors.imag.dataId) as Float32Array;\n      return complex_util.mergeRealAndImagArrays(realValues, imagValues);\n    }\n    return this.data.get(dataId).values;\n  }\n\n  private bufferSync<R extends Rank>(t: Tensor<R>): TensorBuffer<R> {\n    const data = this.readSync(t.dataId);\n    let decodedData = data as DataValues;\n    if (t.dtype === 'string') {\n      try {\n        // Decode the bytes into string.\n        decodedData = (data as Uint8Array[]).map(d => util.decodeString(d));\n      } catch {\n        throw new Error('Failed to decode encoded string bytes into utf-8');\n      }\n    }\n    return buffer(t.shape, t.dtype, decodedData) as TensorBuffer<R>;\n  }\n\n  private makeOutput<T extends Tensor>(\n      values: BackendValues, shape: number[], dtype: DataType): T {\n    const dataId = this.write(values, shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  disposeData(dataId: DataId): void {\n    if (this.data.has(dataId)) {\n      const {complexTensors} = this.data.get(dataId);\n      if (complexTensors != null) {\n        complexTensors.real.dispose();\n        complexTensors.imag.dispose();\n      }\n      this.data.delete(dataId);\n    }\n  }\n\n  async time(f: () => void): Promise<BackendTimingInfo> {\n    const start = now();\n    f();\n    const kernelMs = now() - start;\n    return {kernelMs};\n  }\n\n  memory() {\n    return {\n      // Unreliable due to automatic gc. The numbers above are cumulative.\n      unreliable: true,\n      reasons:\n          ['The reported memory is an upper bound. Due to automatic garbage ' +\n           'collection, the true allocated memory may be less.']\n    };\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(null, real.shape, 'complex64');\n\n    const resultData = this.data.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    assertNotComplex(x, 'slice');\n\n    const isContinous = isSliceContinous(x.shape, begin, size);\n    if (isContinous) {\n      const flatOffset = computeFlatOffset(begin, x.strides);\n      const length = util.sizeFromShape(size);\n      const vals = this.readSync(x.dataId) as TypedArray;\n      return tensor(\n                 vals.subarray(flatOffset, flatOffset + length), size,\n                 x.dtype) as T;\n    }\n\n    const buffer = ops.buffer(size, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; ++i) {\n      const loc = buffer.indexToLoc(i);\n      const xLoc = loc.map((idx, j) => idx + begin[j]);\n      buffer.values[i] = xBuf.get(...xLoc);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    assertNotComplex(x, 'stridedSlice');\n\n    const outShape = computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return ops.tensor([], outShape) as T;\n    }\n\n    const buffer = ops.buffer(outShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; i++) {\n      const loc = buffer.indexToLoc(i);\n\n      const newLoc: number[] = new Array(loc.length);\n      for (let j = 0; j < newLoc.length; j++) {\n        newLoc[j] = loc[j] * strides[j] + begin[j];\n      }\n      buffer.set(xBuf.get(...newLoc), ...loc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  diag(x: Tensor): Tensor {\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const buffer = ops.buffer([x.size, x.size], x.dtype);\n    const vals = buffer.values;\n    for (let i = 0; i < xVals.length; i++) {\n      vals[i * x.size + i] = xVals[i];\n    }\n    return buffer.toTensor();\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    assertNotComplex(x, 'reverse');\n\n    const buffer = ops.buffer(x.shape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < buffer.size; i++) {\n      const outLoc = buffer.indexToLoc(i);\n      const inLoc = outLoc.slice();\n      axis.forEach(ax => inLoc[ax] = x.shape[ax] - 1 - inLoc[ax]);\n      buffer.set(xBuf.get(...inLoc), ...outLoc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    const tensors2D = tensors.map(t => {\n      const innerSize = util.sizeFromShape(t.shape.slice(axis));\n      return t.as2D(-1, innerSize);\n    });\n    const outShape =\n        concat_util.computeOutShape(tensors2D.map(t => t.shape), 1 /* axis */);\n    const values =\n        ops.buffer(outShape as [number, number], tensors[0].dtype as 'float32')\n            .values;\n    if (tensors2D[0].shape[0] === 1) {\n      // Use built-in TypedArray.set() method for speed.\n      let offset = 0;\n      tensors2D.forEach(t => {\n        values.set(this.readSync(t.dataId) as TypedArray, offset);\n        offset += t.size;\n      });\n    } else {\n      let colOffset = 0;\n      tensors2D.forEach(t => {\n        const tVals = this.readSync(t.dataId) as TypedArray;\n        let tIdx = 0;\n        for (let row = 0; row < t.shape[0]; ++row) {\n          const resIdx = row * outShape[1] + colOffset;\n          for (let col = 0; col < t.shape[1]; ++col) {\n            values[resIdx + col] = tVals[tIdx++];\n          }\n        }\n        colOffset += t.shape[1];\n      });\n    }\n    const finalOutShape =\n        concat_util.computeOutShape(tensors.map(t => t.shape), axis);\n    return tensor(values, finalOutShape, tensors[0].dtype);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'neg');\n\n    return this.multiply(ops.scalar(-1), x) as T;\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal + bReal, imag: aImag + bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue + bValue);\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    assertNotComplex(tensors, 'addN');\n\n    const vals = tensors.map(t => this.readSync(t.dataId) as TypedArray);\n    const result = ops.buffer(tensors[0].shape, tensors[0].dtype as 'float32');\n    const resultVals = result.values;\n    for (let i = 0; i < tensors.length; i++) {\n      const currVals = vals[i];\n      for (let j = 0; j < resultVals.length; j++) {\n        resultVals[j] += currVals[j];\n      }\n    }\n    return result.toTensor() as T;\n  }\n\n  softmax<T extends Tensor>(logits: T, dim: number): T {\n    const axes = util.parseAxisParam([dim], logits.shape);\n    const maxLogit = this.max(logits, axes);\n    const expandedShape = axis_util.expandShapeToKeepDim(maxLogit.shape, axes);\n    const a = this.subtract(logits, maxLogit.reshape(expandedShape));\n    const b = this.exp(a);\n    const sumExp = this.sum(b, axes).reshape(expandedShape);\n\n    // TODO(annxingyuan): Call divImpl rather than op as part of softmax kernel\n    // modularization.\n    return div(b, sumExp);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal - bReal, imag: aImag - bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue - bValue);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    assertNotComplex([a, b], 'pow');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.pow(aValue, bValue)) as\n        T;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    assertNotComplex([a, b], 'matMul');\n\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const leftDim = transposeA ? a.shape[2] : a.shape[1];\n    const rightDim = transposeB ? b.shape[1] : b.shape[2];\n    const batchDim = a.shape[0];\n\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const [aBatch, aOuterStep, aInnerStep] = transposeA ?\n        [a.strides[0], 1, a.strides[1]] :\n        [a.strides[0], a.strides[1], 1];\n    const [bInnerStep, bOuterStep, bBatch] = transposeB ?\n        [1, b.strides[1], b.strides[0]] :\n        [b.strides[1], 1, b.strides[0]];\n\n    const size = leftDim * rightDim;\n    const result = buffer([batchDim, leftDim, rightDim], a.dtype);\n    const resVals = result.values as TypedArray;\n    const blockSize = this.blockSize;\n\n    for (let b = 0; b < batchDim; b++) {\n      for (let i0 = 0; i0 < leftDim; i0 += blockSize) {\n        for (let j0 = 0; j0 < rightDim; j0 += blockSize) {\n          for (let k0 = 0; k0 < sharedDim; k0 += blockSize) {\n            // for when blockSize doesn't evenly divide the input\n            const iBlock = Math.min(i0 + blockSize, leftDim);\n            const jBlock = Math.min(j0 + blockSize, rightDim);\n            const kBlock = Math.min(k0 + blockSize, sharedDim);\n\n            for (let i = i0; i < iBlock; i++) {\n              for (let j = j0; j < jBlock; j++) {\n                let sum = 0.0;\n\n                for (let k = k0; k < kBlock; k++) {\n                  sum += aValues[b * aBatch + i * aOuterStep + k * aInnerStep] *\n                      bValues[k * bInnerStep + j * bOuterStep + b * bBatch];\n                }\n                resVals[b * size + (i * rightDim + j)] += sum;\n              }\n            }\n          }\n        }\n      }\n    }\n    return result.toTensor() as Tensor3D;\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    let result = this.batchMatMul(a, b, transposeA, transposeB);\n    if (bias) {\n      result = this.add(result, bias) as Tensor3D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor3D;\n    }\n    return result;\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {\n              real: aReal * bReal - aImag * bImag,\n              imag: aReal * bImag + aImag * bReal\n            };\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue * bValue);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'floorDiv');\n\n    const op = (a: number, b: number) => Math.floor(a / b);\n    const outputDtype = 'int32';\n    return this.broadcastedBinaryOp(a, b, outputDtype, op);\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let sum = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        sum += aVals[offset + j];\n      }\n      vals[i] = sum;\n    }\n    return result;\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let prod = 1;\n      for (let j = 0; j < reduceSize; ++j) {\n        prod *= aVals[offset + j];\n      }\n      vals[i] = prod;\n    }\n    return result;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    assertNotComplex(x, 'unsortedSegmentSum');\n\n    const res = [];\n\n    // Reshape the segment id's so that they can be broadcast with\n    // x. The new shape should be [segmentIds.shape, 1, ..., 1]\n    const numIters = x.rank - segmentIds.rank;\n    for (let i = 0; i < numIters; ++i) {\n      segmentIds = segmentIds.expandDims(i + 1);\n    }\n\n    for (let i = 0; i < numSegments; ++i) {\n      const segmentId = ops.scalar(i, 'int32');\n      const mask = ops.equal(segmentId, segmentIds).asType('float32');\n      const sum = mask.mul(x).sum(0);\n      res.push(sum);\n    }\n\n    return ops.stack(res);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMin');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMin', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      let minIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n          minIndex = j;\n        }\n      }\n      vals[i] = minIndex;\n    }\n    return result;\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMax');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMax', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      let maxIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n          maxIndex = j;\n        }\n      }\n      vals[i] = maxIndex;\n    }\n    return result;\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    assertNotComplex(x, 'cumsum');\n\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `backend.cumsum in CPU expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(x.shape, resultDtype);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    const finalDim = x.shape[x.rank - 1];\n    const indexAdjuster = reverse ?\n        (i: number, j: number) => i + finalDim - j - 1 :\n        (i: number, j: number) => i + j;\n    for (let i = 0; i < aVals.length; i += finalDim) {\n      for (let j = 0; j < finalDim; j++) {\n        const idx = indexAdjuster(i, j);\n        if (j === 0) {\n          vals[idx] = exclusive ? 0 : aVals[idx];\n        } else {\n          const prevIdx = indexAdjuster(i, j - 1);\n          vals[idx] = exclusive ? aVals[prevIdx] + vals[prevIdx] :\n                                  aVals[idx] + vals[prevIdx];\n        }\n      }\n    }\n    return result;\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'equal');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal === bVal) ? 1 : 0;\n    });\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'notEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal !== bVal) ? 1 : 0;\n    });\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'less');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal < bVal) ? 1 : 0;\n    });\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'lessEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal <= bVal) ? 1 : 0;\n    });\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greater');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal > bVal) ? 1 : 0;\n    });\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greaterEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal >= bVal) ? 1 : 0;\n    });\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'logicalNot');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = values[i] ? 0 : 1;\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalAnd');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal && bVal;\n    });\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalOr');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal || bVal;\n    });\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([condition, a, b], 'select');\n\n    const values = this.readSync(condition.dataId) as TypedArray;\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const result = ops.zeros(a.shape, upcastType(a.dtype, b.dtype));\n    const newValues = this.readSync(result.dataId) as TypedArray;\n    let index = 0;\n    const offset = condition.rank === 0 || condition.rank > 1 || a.rank === 1 ?\n        1 :\n        util.sizeFromShape(a.shape.slice(1));\n\n    for (let i = 0; i < values.length; i++) {\n      for (let j = 0; j < offset; j++) {\n        if (values[i] === 1) {\n          newValues[index++] = aValues[i];\n        } else {\n          newValues[index++] = bValues[i];\n        }\n      }\n    }\n\n    return result;\n  }\n\n  where(condition: Tensor): Tensor2D {\n    assertNotComplex([condition], 'where');\n\n    const condVals = this.readSync(condition.dataId) as TypedArray;\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    assertNotComplex(x, 'topk');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'min');\n\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n        }\n      }\n      vals[i] = min;\n    }\n    return result;\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'minimum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.min(aVal, bVal));\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'mod');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const rem = aVal % bVal;\n      if ((aVal < 0 && bVal < 0) || (aVal >= 0 && bVal >= 0)) {\n        return rem;\n      } else {\n        return (rem + bVal) % bVal;\n      }\n    });\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'max');\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n        }\n      }\n      vals[i] = max;\n    }\n    return result;\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'maximum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.max(aVal, bVal));\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'all');\n\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let all = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        all = all && value;\n      }\n      vals[i] = all;\n    }\n    return result;\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'any');\n\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let anyVal = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        anyVal = anyVal || value;\n      }\n      vals[i] = anyVal;\n    }\n    return result;\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'squaredDifference');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const diff = aVal - bVal;\n      return diff * diff;\n    });\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'ceil');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.ceil(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'floor');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.floor(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (values[i] < 0) {\n        newValues[i] = -1;\n      } else if (values[i] > 0) {\n        newValues[i] = 1;\n      } else {\n        newValues[i] = 0;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isNaN(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isInf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Math.abs(values[i]) === Infinity) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isFinite<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isFinite(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'round');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      // The algorithm is based on banker's rounding.\n      const base = Math.floor(values[i]);\n      if (values[i] - base < 0.5) {\n        newValues[i] = Math.floor(values[i]);\n      } else if (values[i] - base > 0.5) {\n        newValues[i] = Math.ceil(values[i]);\n      } else {\n        if (base % 2.0 === 0.0) {\n          newValues[i] = base;\n        } else {\n          newValues[i] = base + 1.0;\n        }\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'exp');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.exp(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'expm1');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.expm1(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log1p');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log1p(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'rsqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = 1 / Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'reciprocal');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = 1 / values[i];\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  linear<T extends Tensor>(x: T): T {\n    return x;\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.max(0, inVals[i]);\n    }\n    return res as T;\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.min(Math.max(0, inVals[i]), 6);\n    }\n    return res as T;\n  }\n\n  prelu<T extends Tensor>(x: T, a: T): T {\n    assertNotComplex([x, a], 'prelu');\n\n    return this.broadcastedBinaryOp(\n               x, a, x.dtype,\n               (xValue, aValue) => xValue < 0 ? aValue * xValue : xValue) as T;\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'elu');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = v;\n      } else {\n        resultValues[i] = (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    assertNotComplex([dy, y], 'eluDer');\n\n    const resultValues = new Float32Array(y.size);\n    const values = this.readSync(y.dataId) as TypedArray;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 1) {\n        resultValues[i] = dyValues[i];\n      } else {\n        resultValues[i] = dyValues[i] * (v + 1);\n      }\n    }\n    return this.makeOutput(resultValues, y.shape, 'float32');\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'selu');\n\n    // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n    // see: https://arxiv.org/abs/1706.02515\n    const scaleAlpha = selu_util.SELU_SCALEALPHA;\n    const scale = selu_util.SELU_SCALE;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = scale * v;\n      } else {\n        resultValues[i] = scaleAlpha * (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    assertNotComplex(x, 'clip');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      resultValues[i] = v > max ? max : (v < min ? min : v);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.abs(values[i]);\n    }\n\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < x.size; ++i) {\n      const real = values[i * 2];\n      const imag = values[i * 2 + 1];\n      resultValues[i] = Math.hypot(real, imag);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  int<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'int');\n\n    const resultValues = new Int32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = values[i];\n    }\n    return this.makeOutput(resultValues, x.shape, 'int32');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sigmoid');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = 1 / (1 + Math.exp(-values[i]));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'softplus');\n\n    // mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n\n    // epsilon is the difference between 1.0 and the next representable float.\n    // For a single precision 32 bit float this should be 2^-23, see:\n    // https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n    const epsilon = 1.1920928955078125e-7;\n    const threshold = Math.log(epsilon) + 2.0;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < values.length; ++i) {\n      // Value above which exp(x) may overflow, but softplus(x) == x\n      // is within machine epsilon.\n      const tooLarge = values[i] > -threshold;\n\n      // Value below which exp(x) may underflow, but softplus(x) == exp(x)\n      // is within machine epsilon.\n      const tooSmall = values[i] < threshold;\n\n      const expX = Math.exp(values[i]);\n      let result;\n\n      if (tooSmall) {\n        result = expX;\n      } else if (tooLarge) {\n        result = values[i];\n      } else {\n        result = Math.log(1.0 + expX);\n      }\n      resultValues[i] = result;\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.tan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    assertNotComplex([a, b], 'atan2');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.atan2(aValue, bValue)) as\n        T;\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = util.tanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'erf');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    const p = erf_util.ERF_P;\n    const a1 = erf_util.ERF_A1;\n    const a2 = erf_util.ERF_A2;\n    const a3 = erf_util.ERF_A3;\n    const a4 = erf_util.ERF_A4;\n    const a5 = erf_util.ERF_A5;\n    for (let i = 0; i < values.length; ++i) {\n      const sign = Math.sign(values[i]);\n      const v = Math.abs(values[i]);\n      const t = 1.0 / (1.0 + p * v);\n      resultValues[i] = sign *\n          (1.0 -\n           (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t *\n               Math.exp(-v * v));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  step<T extends Tensor>(x: T, alpha = 0): T {\n    assertNotComplex(x, 'step');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      if (isNaN(value)) {\n        resultValues[i] = NaN;\n      } else {\n        resultValues[i] = value > 0 ? 1 : alpha;\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.conv2d(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, filter], 'conv2d');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n\n    const xBatchStride = x.strides[0];\n    const xRowStride = isChannelsLast ? x.strides[1] : x.strides[2];\n    const xColStride = isChannelsLast ? x.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : x.strides[1];\n    const yBatchStride = y.strides[0];\n    const yRowStride = isChannelsLast ? y.strides[1] : y.strides[2];\n    const yColStride = isChannelsLast ? y.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : y.strides[1];\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * xBatchStride;\n      const yOffset1 = b * yBatchStride;\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * yRowStride;\n        const xRCorner = yR * convInfo.strideHeight - padTop;\n        for (let wR = 0; wR < filterHeight; wR++) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * xRowStride;\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * yColStride;\n            const xCCorner = yC * convInfo.strideWidth - padLeft;\n            for (let wC = 0; wC < filterWidth; wC++) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * xColStride;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1 * xChannelStride];\n                for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                  yVals[yOffset3 + d2 * yChannelStride] +=\n                      xVal * wVals[wOffset3 + d2];\n                }\n                wOffset3 += convInfo.outChannels;\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor() as Tensor4D;\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padFront = convInfo.padInfo.front;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const y = ops.buffer<Rank.R5>(convInfo.outShape, x.dtype as 'float32');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yF = 0; yF < convInfo.outDepth; ++yF) {\n        const yOffset2 = yOffset1 + yF * y.strides[1];\n        const xFCorner = yF * convInfo.strideDepth - padFront;\n        for (let wF = 0; wF < filterDepth; wF++) {\n          const xF = xFCorner + wF * dilationDepth;\n          if (xF < 0 || xF >= convInfo.inDepth) {\n            continue;\n          }\n          const wOffset1 = wF * filter.strides[0];\n          const xOffset2 = xOffset1 + xF * x.strides[1];\n\n          for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n            const yOffset3 = yOffset2 + yR * y.strides[2];\n            const xRCorner = yR * convInfo.strideHeight - padTop;\n            for (let wR = 0; wR < filterHeight; wR++) {\n              const xR = xRCorner + wR * dilationHeight;\n              if (xR < 0 || xR >= convInfo.inHeight) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wR * filter.strides[1];\n              const xOffset3 = xOffset2 + xR * x.strides[2];\n              for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n                const yOffset4 = yOffset3 + yC * convInfo.outChannels;\n                const xCCorner = yC * convInfo.strideWidth - padLeft;\n                for (let wC = 0; wC < filterWidth; wC++) {\n                  const xC = xCCorner + wC * dilationWidth;\n                  if (xC < 0 || xC >= convInfo.inWidth) {\n                    continue;\n                  }\n                  const wOffset3 = wOffset2 + wC * filter.strides[2];\n                  const xOffset4 = xOffset3 + xC * convInfo.inChannels;\n                  let wOffset4 = wOffset3;\n                  for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                    const xVal = xVals[xOffset4 + d1];\n                    for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                      yVals[yOffset4 + d2] += xVal * wVals[wOffset4 + d2];\n                    }\n                    wOffset4 += convInfo.outChannels;\n                  }\n                }\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor();\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'conv2dDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth,\n      dataFormat\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const xBatchStride = dx.strides[0];\n    const xRowStride = isChannelsLast ? dx.strides[1] : dx.strides[2];\n    const xColStride = isChannelsLast ? dx.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : dx.strides[1];\n    const yBatchStride = dy.strides[0];\n    const yRowStride = isChannelsLast ? dy.strides[1] : dy.strides[2];\n    const yColStride = isChannelsLast ? dy.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : dy.strides[1];\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset =\n                    yBatchStride * b + yRowStride * yR + yColStride * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let d2 = 0; d2 < outChannels; ++d2) {\n                  const pixel = dyValues[dyOffset + yChannelStride * d2];\n                  const weight = fltValues[fltOffset + d2];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            const dxOffset = xBatchStride * b + xRowStride * xR +\n                xColStride * xC + xChannelStride * d1;\n            dxValues[dxOffset] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const dx = ops.buffer<Rank.R5>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2, dxS3] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2, fltS3] = filter.strides;\n    const {\n      batchSize,\n      filterDepth,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inDepth,\n      inHeight,\n      inWidth,\n      outChannels,\n      outDepth,\n      outHeight,\n      outWidth,\n      strideDepth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const frontPad = filterDepth - 1 - convInfo.padInfo.front;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        // Frames of depth\n        for (let xF = 0; xF < inDepth; ++xF) {\n          const xFCorner = xF - frontPad;\n          const xFMin = Math.max(0, Math.ceil(xFCorner / strideDepth));\n          const yFMax =\n              Math.min(outDepth, (filterDepth + xFCorner) / strideDepth);\n\n          // Rows as per standard 2d matrix notation\n          for (let xR = 0; xR < inHeight; ++xR) {\n            const xRCorner = xR - topPad;\n            const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n            const yRMax =\n                Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n            // Columns as per standard 2d matrix notation\n            for (let xC = 0; xC < inWidth; ++xC) {\n              const xCCorner = xC - leftPad;\n              const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n              const yCMax =\n                  Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n              let dotProd = 0;\n              for (let yF = xFMin; yF < yFMax; ++yF) {\n                const wF = yF * strideDepth - xFCorner;\n\n                for (let yR = xRMin; yR < yRMax; ++yR) {\n                  const wR = yR * strideHeight - xRCorner;\n\n                  for (let yC = xCMin; yC < yCMax; ++yC) {\n                    const wC = yC * strideWidth - xCCorner;\n                    const dyOffset =\n                        dyS0 * b + dyS1 * yF + dyS2 * yR + dyS3 * yC;\n                    const fltOffset = fltS0 * (filterDepth - 1 - wF) +\n                        fltS1 * (filterHeight - 1 - wR) +\n                        fltS2 * (filterWidth - 1 - wC) + fltS3 * d1;\n\n                    for (let d2 = 0; d2 < outChannels; ++d2) {\n                      const pixel = dyValues[dyOffset + d2];\n                      const weight = fltValues[fltOffset + d2];\n                      dotProd += pixel * weight;\n                    }\n                  }\n                }\n              }\n              dxValues[dxS0 * b + dxS1 * xF + dxS2 * xR + dxS3 * xC + d1] =\n                  dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, dy], 'conv2dDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n          for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n            // Need to convolve.\n            let dotProd = 0;\n            for (let b = 0; b < convInfo.batchSize; ++b) {\n              for (let yR = yRMin; yR < yRMax; ++yR) {\n                const xR = wR + yR * strideHeight - topPad;\n                for (let yC = yCMin; yC < yCMax; ++yC) {\n                  const xC = wC + yC * strideWidth - leftPad;\n                  if (isChannelsLast) {\n                    dotProd +=\n                        xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n                  } else {\n                    dotProd +=\n                        xBuf.get(b, d1, xR, xC) * dyBuf.get(b, d2, yR, yC);\n                  }\n                }\n              }\n            }\n            dW.set(dotProd, wR, wC, d1, d2);\n          }\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const dw = ops.buffer<Rank.R5>(convInfo.filterShape, 'float32');\n    const dwValues = dw.values;\n    const [dwS0, dwS1, dwS2, dwS3] = dw.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const [xS0, xS1, xS2, xS3] = x.strides;\n\n    const frontPad = convInfo.padInfo.front;\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n\n    for (let wF = 0; wF < filterDepth; ++wF) {\n      const yFMin = Math.max(0, Math.ceil((frontPad - wF) / strideDepth));\n      const yFMax = Math.min(\n          convInfo.outDepth, (convInfo.inDepth + frontPad - wF) / strideDepth);\n      const wOffset1 = wF * dwS0;\n\n      for (let wR = 0; wR < filterHeight; ++wR) {\n        const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n        const yRMax = Math.min(\n            convInfo.outHeight,\n            (convInfo.inHeight + topPad - wR) / strideHeight);\n        const wOffset2 = wR * dwS1 + wOffset1;\n\n        for (let wC = 0; wC < filterWidth; ++wC) {\n          const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n          const yCMax = Math.min(\n              convInfo.outWidth,\n              (convInfo.inWidth + leftPad - wC) / strideWidth);\n          const wOffset3 = wC * dwS2 + wOffset2;\n\n          for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n            const wOffset4 = d1 * dwS3 + wOffset3;\n\n            for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n              let dotProd = 0;\n              for (let b = 0; b < convInfo.batchSize; ++b) {\n                const xOffset1 = b * xS0;\n                const yOffset1 = b * dyS0;\n\n                for (let yF = yFMin; yF < yFMax; ++yF) {\n                  const xF = wF + yF * strideDepth - frontPad;\n                  const xOffset2 = xF * xS1 + xOffset1;\n                  const yOffset2 = yF * dyS1 + yOffset1;\n\n                  for (let yR = yRMin; yR < yRMax; ++yR) {\n                    const xR = wR + yR * strideHeight - topPad;\n                    const xOffset3 = xR * xS2 + xOffset2;\n                    const yOffset3 = yR * dyS2 + yOffset2;\n\n                    for (let yC = yCMin; yC < yCMax; ++yC) {\n                      const xC = wC + yC * strideWidth - leftPad;\n                      const xOffset4 = xC * xS3 + xOffset3;\n                      const yOffset4 = yC * dyS3 + yOffset3;\n\n                      dotProd +=\n                          xValues[xOffset4 + d1] * dyValues[yOffset4 + d2];\n                    }\n                  }\n                }\n              }\n              dwValues[wOffset4 + d2] = dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dw.toTensor();\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.depthwiseConv2D(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, filter], 'depthwiseConv2D');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * y.strides[1];\n        const xRCorner = yR * convInfo.strideHeight - padLeft;\n        for (let wR = 0; wR < filterHeight; ++wR) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * x.strides[1];\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * y.strides[2];\n            const xCCorner = yC * convInfo.strideWidth - padTop;\n            for (let wC = 0; wC < filterWidth; ++wC) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * convInfo.inChannels;\n              let yOffset4 = yOffset3;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1];\n                for (let q = 0; q < chMul; ++q) {\n                  yVals[yOffset4 + q] += xVal * wVals[wOffset3 + q];\n                }\n                yOffset4 += chMul;\n                wOffset3 += chMul;\n              }\n            }\n          }\n        }\n      }\n    }\n\n    return y.toTensor() as Tensor4D;\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'depthwiseConv2DDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n    const chMul = outChannels / inChannels;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset = dyS0 * b + dyS1 * yR + dyS2 * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let dm = 0; dm < chMul; ++dm) {\n                  const d2 = d1 * chMul + dm;\n                  const pixel = dyValues[dyOffset + d2];\n                  const weight = fltValues[fltOffset + dm];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            dxValues[dxS0 * b + dxS1 * xR + dxS2 * xC + d1] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, dy], 'depthwiseConv2DDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n          const d1 = Math.trunc(d2 / chMul);\n          const dm = d2 % chMul;\n\n          let dotProd = 0;\n          for (let b = 0; b < convInfo.batchSize; ++b) {\n            for (let yR = yRMin; yR < yRMax; ++yR) {\n              const xR = wR + yR * strideHeight - topPad;\n              for (let yC = yCMin; yC < yCMax; ++yC) {\n                const xC = wC + yC * strideWidth - leftPad;\n                dotProd += xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n              }\n            }\n          }\n          dW.set(dotProd, wR, wC, d1, dm);\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    assertNotComplex(x, 'tile');\n    return tile(this.bufferSync(x), reps) as T;\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    assertNotComplex(x, 'pad');\n\n    const outShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + x.shape[i] + p[1] /* afterPad */);\n    const start = paddings.map(p => p[0]);\n    const xBuffer = this.bufferSync(x);\n    const buffer = ops.buffer(outShape, x.dtype as 'float32');\n    if (constantValue !== 0) {\n      buffer.values.fill(constantValue);\n    }\n\n    for (let i = 0; i < x.size; i++) {\n      const coords = xBuffer.indexToLoc(i);\n      const outCoords = coords.map((c, i) => c + start[i]);\n      buffer.set(xBuffer.get(...coords), ...outCoords);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    assertNotComplex([x, indices], 'gather');\n\n    const newShape: number[] = x.shape.slice();\n    const indicesValues = this.readSync(indices.dataId) as TypedArray;\n    newShape[axis] = indicesValues.length;\n    const result = buffer(newShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < result.size; ++i) {\n      const newLoc = result.indexToLoc(i);\n\n      const originalLoc: number[] = newLoc.slice();\n      originalLoc[axis] = indicesValues[newLoc[axis]];\n\n      const originalIndex = xBuf.locToIndex(originalLoc);\n      result.values[i] = xBuf.values[originalIndex];\n    }\n    return result.toTensor() as T;\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    assertNotComplex([x], 'batchToSpaceND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return transpose(x.reshape(reshaped), permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    assertNotComplex([x], 'spaceToBatchND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return transpose(\n               paddedX.reshape(reshapedPaddedShape),\n               permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'maxPool');\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    return pool(xValues, x.shape, x.dtype, x.strides, convInfo, 'max')\n               .toTensor() as Tensor4D;\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, y], 'maxPoolBackprop');\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const maxPosBuf = buffer(\n        convInfo.outShape, x.dtype,\n        maxPoolPositions(xValues, x.shape, x.dtype, convInfo).values);\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n                const maxPos = effectiveFilterHeight * effectiveFilterWidth -\n                    1 - (maxPosBuf.get(b, dyR, dyC, d) as number);\n                const curPos = wR * effectiveFilterWidth + wC;\n\n                const mask = maxPos === curPos ? 1 : 0;\n                if (mask === 0) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel * mask;\n              }\n            }\n            dx.set(dotProd, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([dy, x], 'avgPoolBackprop');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel;\n              }\n            }\n            dx.set(dotProd * avgMultiplier, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  private pool3d(x: Tensor5D, convInfo: Conv3DInfo, poolType: 'max'|'avg'):\n      Tensor5D {\n    assertNotComplex(x, 'pool3d');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const initialValue =\n        (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                              Number.POSITIVE_INFINITY);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = ops.buffer(convInfo.outShape, x.dtype);\n    const outputVals = output.values;\n\n    const outputBatchStrides = convInfo.outShape[1] * convInfo.outShape[2] *\n        convInfo.outShape[3] * convInfo.outShape[4];\n    const outputDepthStrides =\n        convInfo.outShape[2] * convInfo.outShape[3] * convInfo.outShape[4];\n    const outputRowStrides = convInfo.outShape[3] * convInfo.outShape[4];\n    const outputColStrides = convInfo.outShape[4];\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      const outputBatchOffset = batch * outputBatchStrides;\n      const inputBatchOffset = batch * x.strides[0];\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          const outputDepthOffset =\n              outputBatchOffset + yDepth * outputDepthStrides;\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            const outputRowOffset = outputDepthOffset + yRow * outputRowStrides;\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n              // Shader code begins\n              const outputColOffset = outputRowOffset + yCol * outputColStrides;\n              let minMaxValue = initialValue;\n              let avgValue = 0;\n              let count = 0;\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const xDepthOffset = inputBatchOffset + xDepth * x.strides[1];\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const xRowOffset = xDepthOffset + xRow * x.strides[2];\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const xColOffset = xRowOffset + xCol * x.strides[3];\n                    const pixel = xValues[xColOffset + channel];\n                    if ((poolType === 'max' && pixel > minMaxValue)) {\n                      minMaxValue = pixel;\n                    } else if (poolType === 'avg') {\n                      avgValue += pixel;\n                      count++;\n                    }\n                    if (isNaN(minMaxValue)) {\n                      break;\n                    }\n                  }\n                  if (isNaN(minMaxValue)) {\n                    break;\n                  }\n                }\n                if (isNaN(minMaxValue)) {\n                  break;\n                }\n              }\n              const outputOffset = outputColOffset + channel;\n              outputVals[outputOffset] =\n                  poolType === 'avg' ? avgValue / count : minMaxValue;\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor5D;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'avgPool3d');\n\n    return this.pool3d(x, convInfo, 'avg').toFloat();\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([dy, x], 'avgPool3dBackprop');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins.\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel;\n                  }\n                }\n              }\n              dx.set(\n                  dotProd * avgMultiplier, batch, dxDepth, dxRow, dxCol,\n                  channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'maxPool3d');\n\n    return this.pool3d(x, convInfo, 'max').toFloat();\n  }\n\n  private maxPool3dPositions(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const xBuf = this.bufferSync(x);\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n\n              // Shader code begins\n              let maxValue = Number.NEGATIVE_INFINITY;\n              let maxPosition = -1;\n\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const wDepth = xDepth - xDepthCorner;\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const wRow = xRow - xRowCorner;\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const wCol = xCol - xColCorner;\n                    const pixel = xBuf.get(batch, xDepth, xRow, xCol, channel);\n                    if (pixel >= maxValue) {\n                      maxValue = pixel;\n                      maxPosition = wDepth * effectiveFilterHeight *\n                              effectiveFilterWidth +\n                          wRow * effectiveFilterHeight + wCol;\n                    }\n                  }\n                }\n              }\n\n              maxPositions.set(maxPosition, batch, yDepth, yRow, yCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return maxPositions.toTensor() as Tensor5D;\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([x, y], 'maxPool3dBackprop');\n\n    const maxPositions = this.maxPool3dPositions(x, convInfo);\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const maxPosBuf = this.bufferSync(maxPositions);\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const maxPos = effectiveFilterDepth *\n                            effectiveFilterHeight * effectiveFilterWidth -\n                        1 -\n                        maxPosBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    const curPos =\n                        wDepth * effectiveFilterHeight * effectiveFilterWidth +\n                        wRow * effectiveFilterWidth + wCol;\n\n                    const mask = maxPos === curPos ? 1 : 0;\n                    if (mask === 0) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel * mask;\n                  }\n                }\n              }\n              dx.set(dotProd, batch, dxDepth, dxRow, dxCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'avgPool');\n    assertNotComplex(x, 'maxPool');\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    return pool(xValues, x.shape, x.dtype, x.strides, convInfo, 'avg')\n               .toTensor()\n               .toFloat() as Tensor4D;\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeBilinear');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result = new Float32Array(\n        util.sizeFromShape([batch, newHeight, newWidth, numChannels]));\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n    let outputIdx = 0;\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n    for (let b = 0; b < batch; b++) {\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceRowFloor = Math.floor(sourceFracRow);\n        const rowFrac = sourceFracRow - sourceRowFloor;\n        const sourceRowCeil = Math.min(oldHeight - 1, Math.ceil(sourceFracRow));\n        const topRowOffset = b * x.strides[0] + sourceRowFloor * x.strides[1];\n        const botRowOffset = b * x.strides[0] + sourceRowCeil * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceColFloor = Math.floor(sourceFracCol);\n          const colFrac = sourceFracCol - sourceColFloor;\n          const sourceColCeil =\n              Math.min(oldWidth - 1, Math.ceil(sourceFracCol));\n          const topLeftOffest = topRowOffset + sourceColFloor * x.strides[2];\n          const botLeftOffset = botRowOffset + sourceColFloor * x.strides[2];\n          const topRightOffset = topRowOffset + sourceColCeil * x.strides[2];\n          const botRightOffest = botRowOffset + sourceColCeil * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n\n            // Compute the fractional index of the source.\n            const topLeft = xValues[topLeftOffest + d];\n            const bottomLeft = xValues[botLeftOffset + d];\n            const topRight = xValues[topRightOffset + d];\n            const bottomRight = xValues[botRightOffest + d];\n\n            const top = topLeft + (topRight - topLeft) * colFrac;\n            const bottom = bottomLeft + (bottomRight - bottomLeft) * colFrac;\n            const newValue = top + (bottom - top) * rowFrac;\n\n            result[outputIdx++] = newValue;\n          }\n        }\n      }\n    }\n    return ops.tensor(result, [batch, newHeight, newWidth, numChannels]);\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeBilinearBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass and add the\n    // corresponding coefficient from dy to the gradient (with some\n    // interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/3039375c86a5bbc9610c7725dcaa95d635f87ba2/tensorflow/core/kernels/resize_bilinear_op.cc#L275\n\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    let offset = 0;\n    for (let b = 0; b < batch; b++) {\n      const bOffset = b * x.strides[0];\n      for (let r = 0; r < yHeight; r++) {\n        const dxR = r * heightScale;\n        const topDxRIndex = Math.floor(dxR);\n        const bottomDxRIndex = Math.min(Math.ceil(dxR), xHeight - 1);\n\n        const topDxROffset = bOffset + topDxRIndex * x.strides[1];\n        const bottomDxROffset = bOffset + bottomDxRIndex * x.strides[1];\n\n        const dxRLerp = dxR - topDxRIndex;\n        const inverseDxRLerp = 1.0 - dxRLerp;\n        for (let c = 0; c < yWidth; c++) {\n          const dxC = c * widthScale;\n          const leftDxCIndex = Math.floor(dxC);\n          const rightDxCIndex = Math.min(Math.ceil(dxC), xWidth - 1);\n          const dxCLerp = dxC - leftDxCIndex;\n          const inverseDxCLerp = 1.0 - dxCLerp;\n\n          const topLeftRCOffset = topDxROffset + leftDxCIndex * x.strides[2];\n          const topRightRCOffset = topDxROffset + rightDxCIndex * x.strides[2];\n          const bottomLeftRCOffset =\n              bottomDxROffset + leftDxCIndex * x.strides[2];\n          const bottomRightRCOffset =\n              bottomDxROffset + rightDxCIndex * x.strides[2];\n\n          const inverseDxRLerpTimesInverseDxCLerp =\n              inverseDxRLerp * inverseDxCLerp;\n          const inverseDxRLerpTimesDxCLerp = inverseDxRLerp * dxCLerp;\n          const dxRLerpTimesInverseDxCLerp = dxRLerp * inverseDxCLerp;\n          const dxRLerpTimesDxCLerp = dxRLerp * dxCLerp;\n          for (let d = 0; d < depth; d++) {\n            const dyVal = dyValues[offset++];\n            output[topLeftRCOffset + d] +=\n                dyVal * inverseDxRLerpTimesInverseDxCLerp;\n            output[topRightRCOffset + d] += dyVal * inverseDxRLerpTimesDxCLerp;\n            output[bottomLeftRCOffset + d] +=\n                dyVal * dxRLerpTimesInverseDxCLerp;\n            output[bottomRightRCOffset + d] += dyVal * dxRLerpTimesDxCLerp;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, [batch, xWidth, xHeight, depth], x.dtype);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeNearestNeighbor');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = new Float32Array(batch * newHeight * newWidth * numChannels);\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n\n    let outputOffset = 0;\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceNearestRow = Math.min(\n            oldHeight - 1,\n            alignCorners ? Math.round(sourceFracRow) :\n                           Math.floor(sourceFracRow));\n        const rowOffset = batchOffset + sourceNearestRow * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceNearestCol = Math.min(\n              oldWidth - 1,\n              alignCorners ? Math.round(sourceFracCol) :\n                             Math.floor(sourceFracCol));\n          const colOffset = rowOffset + sourceNearestCol * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n            // Compute the fractional index of the source.\n            const newVal = xValues[colOffset + d];\n            output[outputOffset++] = newVal;\n          }\n        }\n      }\n    }\n    return ops.tensor(\n        output, [batch, newHeight, newWidth, numChannels], x.dtype);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeNearestNeighborBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    // Loop over the output space.\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < xHeight; r++) {\n        const rowOffset = batchOffset + r * x.strides[1];\n\n        // Compute bounds for where in dy we will look\n        const startRLerp = Math.floor(r * invHeightScale);\n        const startDyR = Math.floor(startRLerp - (winHeight / 2));\n        for (let c = 0; c < xWidth; c++) {\n          const colOffset = rowOffset + c * x.strides[2];\n\n          // Compute bounds for where in dy we will look\n          const startCLerp = Math.floor(c * invWidthScale);\n          const startDyC = Math.floor(startCLerp - (winWidth / 2));\n\n          for (let d = 0; d < depth; d++) {\n            let accum = 0;\n            // loop over dy\n\n            for (let dyRIndex = 0; dyRIndex < winHeight; dyRIndex++) {\n              const dyR = dyRIndex + startDyR;\n              // Guard against the window exceeding the bounds of dy\n              if (dyR < 0 || dyR >= yHeight) {\n                continue;\n              }\n\n              const dyROffset = batchOffset + dyR * dy.strides[1];\n              const sourceFracRow = dyR * heightScale;\n              const sourceNearestRow = Math.min(\n                  xHeight - 1,\n                  alignCorners ? Math.round(sourceFracRow) :\n                                 Math.floor(sourceFracRow));\n              if (r !== sourceNearestRow) {\n                continue;\n              }\n              for (let dyCIndex = 0; dyCIndex < winWidth; dyCIndex++) {\n                const dyC = dyCIndex + startDyC;\n                // Guard against the window exceeding the bounds of dy\n                if (dyC < 0 || dyC >= yWidth) {\n                  continue;\n                }\n\n                const dyCOffset = dyROffset + dyC * dy.strides[2];\n                const sourceFracCol = dyC * widthScale;\n                const sourceNearestCol = Math.min(\n                    xWidth - 1,\n                    alignCorners ? Math.round(sourceFracCol) :\n                                   Math.floor(sourceFracCol));\n\n                if (c === sourceNearestCol) {\n                  accum += dyValues[dyCOffset + d];\n                }\n              }\n            }\n            output[colOffset + d] = accum;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, x.shape, x.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    assertNotComplex([x, mean, variance, scale, offset], 'batchNorm');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const mVals = this.readSync(mean.dataId) as TypedArray;\n    const varVals = this.readSync(variance.dataId) as TypedArray;\n    const sVals = scale ? this.readSync(scale.dataId) as TypedArray :\n                          new Float32Array([1]);\n    const offVals = offset ? this.readSync(offset.dataId) as TypedArray :\n                             new Float32Array([0]);\n    const outVals = new Float32Array(xVals.length);\n\n    const offValsLength = offVals.length;\n    const sValsLength = sVals.length;\n    const varValsLength = varVals.length;\n    const mValsLength = mVals.length;\n\n    let offi = 0;\n    let mi = 0;\n    let si = 0;\n    let vi = 0;\n    for (let i = 0; i < xVals.length; ++i) {\n      outVals[i] = offVals[offi++] +\n          (xVals[i] - mVals[mi++]) * sVals[si++] /\n              Math.sqrt(varVals[vi++] + varianceEpsilon);\n      if (offi >= offValsLength) {\n        offi = 0;\n      }\n      if (mi >= mValsLength) {\n        mi = 0;\n      }\n      if (si >= sValsLength) {\n        si = 0;\n      }\n      if (vi >= varValsLength) {\n        vi = 0;\n      }\n    }\n    return tensor4d(outVals, x.shape);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(x, 'localResponseNormalization4D');\n\n    const channels = x.shape[3];\n    const maxD = channels - 1;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const size = x.size;\n    const result = new Float32Array(size);\n\n    function sumAcrossChannels(offset: number) {\n      const currentChannel = offset % channels;\n      let beginSumOffset =\n          offset - currentChannel + Math.max(0, currentChannel - depthRadius);\n      const endSumOffset = offset - currentChannel +\n          Math.min(currentChannel + depthRadius, maxD);\n\n      let sum = 0.0;\n      for (; beginSumOffset <= endSumOffset; beginSumOffset++) {\n        const z = xValues[beginSumOffset];\n        sum += z * z;\n      }\n      return sum;\n    }\n\n    for (let offset = 0; offset < size; offset++) {\n      const sum = sumAcrossChannels(offset);\n      const val = xValues[offset] * Math.pow(bias + alpha * sum, -beta);\n      result[offset] = val;\n    }\n\n    return ops.tensor4d(result, x.shape);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(dy, 'LRNGrad');\n    const channels = dy.shape[3];\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const inputImageValues = this.readSync(inputImage.dataId) as TypedArray;\n    const outputImageValues = this.readSync(outputImage.dataId) as TypedArray;\n    const result = new Float32Array(dy.size);\n    const size = dy.size;\n\n    for (let offset = 0; offset < size; offset++) {\n      const currentChannel = offset % channels;\n      const depthBegin =\n          (offset - currentChannel) + Math.max(0, currentChannel - depthRadius);\n      const depthEnd = (offset - currentChannel) +\n          Math.min(channels, currentChannel + depthRadius + 1);\n\n      let norm = 0;\n      for (let k = depthBegin; k < depthEnd; k++) {\n        norm += Math.pow(inputImageValues[k], 2);\n      }\n      norm = alpha * norm + bias;\n\n      for (let k = depthBegin; k < depthEnd; k++) {\n        let dyi = -2 * alpha * beta * inputImageValues[k] *\n            outputImageValues[offset] / norm;\n        if (offset === k) {\n          dyi += Math.pow(norm, -beta);\n        }\n        dyi *= dyValues[offset];\n        result[k] += dyi;\n      }\n    }\n    return ops.tensor4d(result, dy.shape);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    assertNotComplex(logits, 'multinomial');\n\n    const probabilities = normalized ? logits : ops.softmax(logits);\n    const batchSize = probabilities.shape[0];\n    const numEvents = probabilities.shape[1];\n    const res = ops.zeros<Rank.R2>([batchSize, numSamples], 'int32');\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const probVals = this.readSync(probabilities.dataId) as TypedArray;\n\n    for (let b = 0; b < batchSize; ++b) {\n      const offset = b * numEvents;\n      // The cdf won't include the last event. It will be implicit if no other\n      // event happened.\n      const cdf = new Float32Array(numEvents - 1);\n      cdf[0] = probVals[offset];\n      for (let event = 1; event < cdf.length; ++event) {\n        cdf[event] = cdf[event - 1] + probVals[offset + event];\n      }\n\n      const random = seedrandom.alea(seed.toString());\n      const outOffset = b * numSamples;\n      for (let sampleId = 0; sampleId < numSamples; ++sampleId) {\n        const r = random();\n\n        // Assume last event happened by default.\n        resVals[outOffset + sampleId] = cdf.length;\n\n        for (let event = 0; event < cdf.length; event++) {\n          if (r < cdf[event]) {\n            resVals[outOffset + sampleId] = event;\n            break;\n          }\n        }\n      }\n    }\n    return res;\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    assertNotComplex(indices, 'oneHot');\n\n    const res = new Float32Array(indices.size * depth);\n    res.fill(offValue);\n    const indicesVal = this.readSync(indices.dataId) as TypedArray;\n\n    for (let event = 0; event < indices.size; ++event) {\n      if (indicesVal[event] >= 0 && indicesVal[event] < depth) {\n        res[event * depth + indicesVal[event]] = onValue;\n      }\n    }\n    return ops.tensor2d(res, [indices.size, depth], 'int32');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    assertNotComplex(boxes, 'nonMaxSuppression');\n\n    const boxesVals = this.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = this.readSync(scores.dataId) as TypedArray;\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, false);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, true);\n  }\n\n  /**\n   * Calculate FFT of inner most elements of batch tensor.\n   */\n  private fftBatch(x: Tensor2D, inverse: boolean): Tensor2D {\n    const batch = x.shape[0];\n    const innerDim = x.shape[1];\n    // Collects real and imaginary values separately.\n    const realResult = ops.buffer(x.shape, 'float32');\n    const imagResult = ops.buffer(x.shape, 'float32');\n\n    const real = ops.real(x).as2D(batch, innerDim);\n    const imag = ops.imag(x).as2D(batch, innerDim);\n\n    for (let b = 0; b < batch; b++) {\n      // TODO: Support slice ops for complex type.\n      const r = real.slice([b, 0], [1, innerDim]);\n      const i = imag.slice([b, 0], [1, innerDim]);\n      const input = ops.complex(r, i);\n      // Run FFT by batch element.\n      const res =\n          this.readSync(this.fftImpl(input, inverse).dataId) as Float32Array;\n      for (let d = 0; d < innerDim; d++) {\n        const c = complex_util.getComplexWithIndex(res, d);\n        realResult.values[b * innerDim + d] = c.real;\n        imagResult.values[b * innerDim + d] = c.imag;\n      }\n    }\n\n    const t = ops.complex(realResult.toTensor(), imagResult.toTensor());\n    return t.as2D(batch, innerDim);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const x1D = x.as1D();\n\n    const n = x1D.size;\n\n    if (this.isExponentOf2(n)) {\n      let result = this.fftRadix2(x1D, n, inverse).as2D(x.shape[0], x.shape[1]);\n      if (inverse) {\n        result = ops.complex(\n                     ops.real(result).div(scalar(n)),\n                     ops.imag(result).div(scalar(n))) as Tensor2D;\n      }\n      return result;\n    } else {\n      const data = this.readSync(x.dataId) as TypedArray;\n      const rawOutput =\n          this.fourierTransformByMatmul(data, n, inverse) as Float32Array;\n      const output = complex_util.splitRealAndImagArrays(rawOutput);\n      return ops.complex(output.real, output.imag).as2D(x.shape[0], x.shape[1]);\n    }\n  }\n\n  private isExponentOf2(size: number): boolean {\n    return (size & size - 1) === 0;\n  }\n\n  // FFT using Cooley-Tukey algorithm on radix 2 dimensional input.\n  private fftRadix2(input: Tensor1D, size: number, inverse: boolean): Tensor1D {\n    if (size === 1) {\n      return input;\n    }\n    const data = this.readSync(input.dataId) as TypedArray as Float32Array;\n    const half = size / 2;\n    const evenComplex = complex_util.complexWithEvenIndex(data);\n    let evenTensor = ops.complex(evenComplex.real, evenComplex.imag).as1D();\n    const oddComplex = complex_util.complexWithOddIndex(data);\n    let oddTensor = ops.complex(oddComplex.real, oddComplex.imag).as1D();\n\n    // Recursive call for half part of original input.\n    evenTensor = this.fftRadix2(evenTensor, half, inverse);\n    oddTensor = this.fftRadix2(oddTensor, half, inverse);\n\n    const e = complex_util.exponents(size, inverse);\n    const exponent = ops.complex(e.real, e.imag).mul(oddTensor);\n\n    const addPart = evenTensor.add(exponent);\n    const subPart = evenTensor.sub(exponent);\n\n    const realTensor = ops.real(addPart).concat(ops.real(subPart));\n    const imagTensor = ops.imag(addPart).concat(ops.imag(subPart));\n\n    return ops.complex(realTensor, imagTensor).as1D();\n  }\n\n  // Calculate fourier transform by multplying sinusoid matrix.\n  private fourierTransformByMatmul(\n      data: TypedArray, size: number, inverse: boolean): TypedArray {\n    const ret = new Float32Array(size * 2);\n    // TODO: Use matmul instead once it supports complex64 type.\n    for (let r = 0; r < size; r++) {\n      let real = 0.0;\n      let imag = 0.0;\n      for (let c = 0; c < size; c++) {\n        const e = complex_util.exponent(r * c, size, inverse);\n        const term = complex_util.getComplexWithIndex(data as Float32Array, c);\n        real += term.real * e.real - term.imag * e.imag;\n        imag += term.real * e.imag + term.imag * e.real;\n      }\n      if (inverse) {\n        real /= size;\n        imag /= size;\n      }\n      complex_util.assignToTypedArray(ret, real, imag, r);\n    }\n    return ret;\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        dataFormat === 'NHWC',\n        () => `Only NHWC dataFormat supported on CPU for depthToSpace. Got ${\n            dataFormat}`);\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = x.shape[1];\n    const inputWidth = x.shape[2];\n    const inputDepth = x.shape[3];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result =\n        new Float32Array(batchSize * outputHeight * outputWidth * outputDepth);\n\n    let outputIdx = 0;\n    for (let b = 0; b < batchSize; ++b) {\n      for (let h = 0; h < outputHeight; ++h) {\n        const inH = Math.floor(h / blockSize);\n        const offsetH = (h % blockSize);\n        for (let w = 0; w < outputWidth; ++w) {\n          const inW = Math.floor(w / blockSize);\n          const offsetW = (w % blockSize);\n          const offsetD = (offsetH * blockSize + offsetW) * outputDepth;\n          for (let d = 0; d < outputDepth; ++d) {\n            const inD = d + offsetD;\n            const inputIdx =\n                inD + inputDepth * (inW + inputWidth * (inH + inputHeight * b));\n            result[outputIdx++] = xValues[inputIdx];\n          }\n        }\n      }\n    }\n    return ops.tensor4d(\n        result, [batchSize, outputHeight, outputWidth, outputDepth]);\n  }\n\n  private broadcastedBinaryOp(\n      a: Tensor, b: Tensor, dtype: DataType,\n      op: (a: number, b: number) => number): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const result = ops.buffer(newShape, dtype);\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const resVals = result.values;\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < resVals.length; ++i) {\n        resVals[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      const aBuf = this.bufferSync(a);\n      const bBuf = this.bufferSync(b);\n      for (let i = 0; i < resVals.length; ++i) {\n        const loc = result.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bBuf.locToIndex(bLoc);\n\n        resVals[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n    return result.toTensor();\n  }\n\n  private broadcastedBinaryComplexOp(\n      a: Tensor, b: Tensor,\n      op:\n          (aReal: number, aImag: number, bReal: number,\n           bImag: number) => {real: number, imag: number}): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const realResult = ops.buffer(newShape, 'float32');\n    const imagResult = ops.buffer(newShape, 'float32');\n\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const realVals = realResult.values;\n    const imagVals = imagResult.values;\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < realVals.length; i++) {\n        const aIdx = i % aVals.length;\n        const bIdx = i % bVals.length;\n\n        const result =\n            op(aVals[aIdx * 2], aVals[aIdx * 2 + 1], bVals[bIdx * 2],\n               bVals[bIdx * 2 + 1]);\n\n        realVals[i] = result.real;\n        imagVals[i] = result.imag;\n      }\n    } else {\n      const aRealBuf =\n          this.bufferSync(this.data.get(a.dataId).complexTensors.real);\n      const bRealBuf =\n          this.bufferSync(this.data.get(b.dataId).complexTensors.real);\n      for (let i = 0; i < realVals.length; i++) {\n        const loc = realResult.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aRealBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bRealBuf.locToIndex(bLoc);\n\n        const opResult =\n            op(aVals[aIndex * 2], aVals[aIndex * 2 + 1], bVals[bIndex * 2],\n               bVals[bIndex * 2 + 1]);\n\n        realVals[i] = opResult.real;\n        imagVals[i] = opResult.imag;\n      }\n    }\n    return this.complex(realResult.toTensor(), imagResult.toTensor());\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  dispose() {}\n\n  floatPrecision(): 16|32 {\n    return 32;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return EPSILON_FLOAT32;\n  }\n\n  cropAndResize(\n      images: Tensor4D,\n      boxes: Tensor2D,\n      boxIndex: Tensor1D,\n      cropSize: [number, number],\n      method: string,\n      extrapolationValue: number,\n  ) {\n    const [batch, imageHeight, imageWidth, numChannels] = images.shape;\n    const numBoxes = boxes.shape[0];\n\n    const [cropHeight, cropWidth] = cropSize;\n    const output =\n        ops.buffer([numBoxes, cropHeight, cropWidth, numChannels], 'float32');\n\n    const boxVals = this.readSync(boxes.dataId) as TypedArray;\n    const boxIndVals = this.readSync(boxIndex.dataId) as TypedArray;\n    const imageVals = this.readSync(images.dataId) as TypedArray;\n\n    const inStride = images.strides;   // to calculate flat indexes into image\n    const outStride = output.strides;  // to calculate flat indexes into output\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op.cc\n    for (let b = 0; b < numBoxes; b++) {\n      const startInd = b * 4;\n      const y1 = boxVals[startInd];\n      const x1 = boxVals[startInd + 1];\n      const y2 = boxVals[startInd + 2];\n      const x2 = boxVals[startInd + 3];\n\n      const bInd: number = boxIndVals[b];\n      if (bInd >= batch) {\n        continue;\n      }\n\n      const heightScale = (cropHeight > 1) ?\n          (y2 - y1) * (imageHeight - 1) / (cropHeight - 1) :\n          0;\n      const widthScale =\n          (cropWidth > 1) ? (x2 - x1) * (imageWidth - 1) / (cropWidth - 1) : 0;\n\n      for (let y = 0; y < cropHeight; y++) {\n        const yInd: number = (cropHeight > 1) ?\n            y1 * (imageHeight - 1) + y * (heightScale) :\n            0.5 * (y1 + y2) * (imageHeight - 1);\n\n        if (yInd < 0 || yInd > imageHeight - 1) {\n          for (let x = 0; x < cropWidth; x++) {\n            for (let c = 0; c < numChannels; c++) {\n              const ind =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = extrapolationValue;\n            }\n          }\n          continue;\n        }\n\n        if (method === 'bilinear') {\n          const topInd = Math.floor(yInd);\n          const bottomInd = Math.ceil(yInd);\n          const yLerp = yInd - topInd;\n\n          for (let x = 0; x < cropWidth; x++) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const leftInd = Math.floor(xInd);\n            const rightInd = Math.ceil(xInd);\n            const xLerp = xInd - leftInd;\n\n            for (let c = 0; c < numChannels; c++) {\n              let ind = c + leftInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topRight = imageVals[ind];\n\n              ind = c + leftInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomRight = imageVals[ind];\n\n              const top = topLeft + (topRight - topLeft) * xLerp;\n              const bottom = bottomLeft + (bottomRight - bottomLeft) * xLerp;\n\n              ind = c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = top + ((bottom - top) * yLerp);\n            }\n          }\n        } else {  // method == \"nearest\"\n          for (let x = 0; x < cropWidth; ++x) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const closestX = Math.round(xInd);\n            const closestY = Math.round(yInd);\n            for (let c = 0; c < numChannels; c++) {\n              const inInd = c + closestX * inStride[2] +\n                  closestY * inStride[1] + bInd * inStride[0];\n              const outInd =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[outInd] = imageVals[inInd];\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor4D;\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n    const sumDupeIndices = false;\n    return this.scatter(\n        sparseIndices, sparseValues, outputShape, outputSize, sliceSize,\n        numUpdates, sliceRank, strides, defaultValue, sumDupeIndices);\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n    if (numSlices === 0) {\n      return tensor([], resultShape, x.dtype);\n    }\n\n    const buffer = new TensorBuffer([numSlices, sliceSize], x.dtype);\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const xData = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < numSlices; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        flattenIndex += dim * strides[j];\n        index.push(dim);\n      }\n      if (flattenIndex < 0 || flattenIndex >= x.size / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${x.shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        buffer.values[i * sliceSize + k] = xData[flattenIndex * sliceSize + k];\n      }\n    }\n    return buffer.toTensor().reshape(resultShape);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n    const defaultValue = scalar(0);\n    const sumDupeIndices = true;\n    return this.scatter(\n        indices, updates, shape, outputSize, sliceSize, numUpdates, sliceRank,\n        strides, defaultValue, sumDupeIndices);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n    const values = getArrayFromDType(dtype, sizeFromShape(shape)) as TypedArray;\n    values.fill(value as number);\n    return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported for string tensors');\n    } else {\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    const values =\n        getArrayFromDType(x.dtype, sizeFromShape(x.shape)) as TypedArray;\n    return this.makeOutput(values, x.shape, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  private scatter<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R], outputSize: number,\n      sliceSize: number, numUpdates: number, sliceRank: number,\n      strides: number[], defaultValue: Scalar,\n      sumDupeIndices: boolean): Tensor<R> {\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const updatesData = this.readSync(updates.dataId) as TypedArray;\n\n    if (outputSize === 0) {\n      return tensor([], shape, updates.dtype);\n    }\n\n    const buffer = new TensorBuffer(flattenShape, updates.dtype as 'float32');\n    buffer.values.fill((this.readSync(defaultValue.dataId) as TypedArray)[0]);\n\n    for (let i = 0; i < numUpdates; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        index.push(dim);\n        flattenIndex += dim * strides[j];\n      }\n\n      if (flattenIndex < 0 || flattenIndex >= outputSize / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        if (sumDupeIndices) {\n          buffer.values[flattenIndex * sliceSize + k] +=\n              updatesData[i * sliceSize + k];\n        } else {\n          buffer.values[flattenIndex * sliceSize + k] = updates.rank === 0 ?\n              updatesData[0] :\n              updatesData[i * sliceSize + k];\n        }\n      }\n    }\n    return buffer.toTensor().reshape(shape);\n  }\n}\n\nENGINE.registerBackend('cpu', () => new MathBackendCPU(), 1 /* priority */);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as backend_util from '../../../backends/backend_util';\nimport {BinaryInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {DataType, NumericDataType, TypedArray} from '../../../types';\nimport * as util from '../../../util';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function createBinaryKernelConfig(\n    name: string,\n    op: (\n        aShape: number[], bShape: number[], aVals: TypedArray,\n        bVals: TypedArray,\n        dtype: DataType) => [TypedArray, number[]]): KernelConfig {\n  return {\n    kernelName: name,\n    backendName: 'cpu',\n    kernelFunc: ({inputs, backend}) => {\n      const {a, b} = inputs as BinaryInputs;\n      const cpuBackend = backend as MathBackendCPU;\n      assertNotComplex([a, b], name);\n\n      const aVals = cpuBackend.data.get(a.dataId).values as TypedArray;\n      const bVals = cpuBackend.data.get(b.dataId).values as TypedArray;\n\n      const [resultData, resultShape] =\n          op(a.shape, b.shape, aVals, bVals, a.dtype);\n\n      const dataId = cpuBackend.write(resultData, resultShape, a.dtype);\n      return {dataId, shape: resultShape, dtype: a.dtype};\n    }\n  };\n}\n\nexport function createBinaryKernelImpl(op: (a: number, b: number) => number) {\n  return (aShape: number[], bShape: number[], aVals: TypedArray,\n          bVals: TypedArray, dtype: DataType): [TypedArray, number[]] => {\n    const newShape = backend_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    const resultRank = newShape.length;\n    const resultStrides = util.computeStrides(newShape);\n    const resultSize = util.sizeFromShape(newShape);\n\n    const result =\n        util.getTypedArrayFromDType(dtype as NumericDataType, resultSize);\n\n    const aRank = aShape.length;\n    const bRank = bShape.length;\n\n    const aStrides = util.computeStrides(aShape);\n    const bStrides = util.computeStrides(bShape);\n\n    const aBroadcastDims = backend_util.getBroadcastDims(aShape, newShape);\n    const bBroadcastDims = backend_util.getBroadcastDims(bShape, newShape);\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < result.length; ++i) {\n        result[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      for (let i = 0; i < result.length; ++i) {\n        const loc = util.indexToLoc(i, resultRank, resultStrides);\n\n        const aLoc = loc.slice(-aRank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = util.locToIndex(aLoc, aRank, aStrides);\n\n        const bLoc = loc.slice(-bRank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = util.locToIndex(bLoc, bRank, bStrides);\n\n        result[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n\n    return [result, newShape];\n  };\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {createBinaryKernelImpl} from '../utils/kernel_utils';\n\nexport const divImpl = createBinaryKernelImpl((a: number, b: number) => a / b);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div} from '../../../kernel_names';\nimport {createBinaryKernelConfig} from '../utils/kernel_utils';\nimport {divImpl} from './Div_impl';\n\nexport const divConfig = createBinaryKernelConfig(Div, divImpl);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {MaxPoolWithArgmax, MaxPoolWithArgmaxAttrs, MaxPoolWithArgmaxInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport {TypedArray} from '../../../types';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nimport {maxPoolWithArgmaxImpl} from './MaxPoolWithArgmax_impl';\n\nexport const maxPoolWithArgmaxConfig: KernelConfig = {\n  kernelName: MaxPoolWithArgmax,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as MaxPoolWithArgmaxInputs;\n    const {filterSize, strides, pad, includeBatchInIndex} =\n        attrs as {} as MaxPoolWithArgmaxAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'MaxPoolWithArgmax');\n\n    const values = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const convInfo = conv_util.computePool2DInfo(\n        x.shape as [number, number, number, number], filterSize, strides,\n        [1, 1], pad);\n    const [pooled, indexes] = maxPoolWithArgmaxImpl(\n        values, x.shape, x.dtype, includeBatchInIndex, convInfo);\n\n    const pooledDataId =\n        cpuBackend.write(pooled as Float32Array, convInfo.outShape, x.dtype);\n    const indexesDataId =\n        cpuBackend.write(indexes as Int32Array, convInfo.outShape, x.dtype);\n    return [\n      {dataId: pooledDataId, shape: convInfo.outShape, dtype: x.dtype},\n      {dataId: indexesDataId, shape: convInfo.outShape, dtype: 'int32'}\n    ];\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Conv2DInfo} from '../../../ops/conv_util';\nimport {DataType, TypedArray} from '../../../types';\nimport {computeStrides} from '../../../util';\nimport {maxPoolPositions, pool} from '../pool_utils';\nexport function maxPoolWithArgmaxImpl(\n    xValues: TypedArray, xShape: number[], dtype: DataType,\n    includeBatchInIndex: boolean, convInfo: Conv2DInfo) {\n  const strides = computeStrides(xShape);\n  const maxPools = pool(xValues, xShape, dtype, strides, convInfo, 'max');\n  const maxPositions = maxPoolPositions(\n      xValues, xShape, dtype, convInfo, true, includeBatchInIndex);\n\n  return [maxPools.values, maxPositions.values];\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NonMaxSuppressionV5, NonMaxSuppressionV5Attrs, NonMaxSuppressionV5Inputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {TypedArray} from '../../../types';\nimport {nonMaxSuppressionV5} from '../../non_max_suppression_impl';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport const nonMaxSuppressionV5Config: KernelConfig = {\n  kernelName: NonMaxSuppressionV5,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    const {boxes, scores} = inputs as NonMaxSuppressionV5Inputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as unknown as NonMaxSuppressionV5Attrs;\n\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(boxes, 'NonMaxSuppressionWithScore');\n\n    const boxesVals = cpuBackend.data.get(boxes.dataId).values as TypedArray;\n    const scoresVals = cpuBackend.data.get(scores.dataId).values as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square, SquareInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport const squareConfig: KernelConfig = {\n  kernelName: Square,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'square');\n\n    const values = cpuBackend.data.get(x.dataId).values as Float32Array;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = value * value;\n    }\n    const dataId = cpuBackend.write(newValues, x.shape, x.dtype);\n    return {dataId, shape: x.shape, dtype: x.dtype};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SquaredDifference} from '../../../kernel_names';\nimport {createBinaryKernelImpl} from '../utils/kernel_utils';\nimport {createBinaryKernelConfig} from '../utils/kernel_utils';\n\nconst squaredDifferenceImpl = createBinaryKernelImpl((aVal, bVal) => {\n  const diff = aVal - bVal;\n  return diff * diff;\n});\n\nexport const squaredDifferenceConfig =\n    createBinaryKernelConfig(SquaredDifference, squaredDifferenceImpl);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NumericDataType, TypedArray} from '../../../types';\nimport * as util from '../../../util';\n\nexport function transposeImpl(\n    xVals: TypedArray, xShape: number[], dtype: DataType, perm: number[],\n    newShape: number[]): TypedArray {\n  const xSize = util.sizeFromShape(xShape);\n  const xRank = xShape.length;\n  const xStrides = util.computeStrides(xShape);\n  const newStrides = util.computeStrides(newShape);\n\n  const result = util.getTypedArrayFromDType(\n      dtype as NumericDataType, util.sizeFromShape(newShape));\n\n  for (let i = 0; i < xSize; ++i) {\n    const loc = util.indexToLoc(i, xRank, xStrides);\n\n    // Permute location.\n    const newLoc: number[] = new Array(loc.length);\n    for (let i = 0; i < newLoc.length; i++) {\n      newLoc[i] = loc[perm[i]];\n    }\n\n    const newIndex = util.locToIndex(newLoc, xRank, newStrides);\n    result[newIndex] = xVals[i];\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// We explicitly import the modular kernels so they get registered in the\n// global registry when we compile the library. A modular build would replace\n// the contents of this file and import only the kernels that are needed.\nimport {KernelConfig, registerKernel} from '../../kernel_registry';\n\nimport {divConfig} from './kernels/Div';\nimport {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';\nimport {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';\nimport {squareConfig} from './kernels/Square';\nimport {squaredDifferenceConfig} from './kernels/SquaredDifference';\nimport {transposeConfig} from './kernels/Transpose';\n\n// List all kernel configs here\nconst kernelConfigs: KernelConfig[] = [\n  nonMaxSuppressionV5Config, squareConfig, squaredDifferenceConfig, divConfig,\n  transposeConfig, maxPoolWithArgmaxConfig\n];\n\nfor (const kernelConfig of kernelConfigs) {\n  registerKernel(kernelConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Transpose, TransposeAttrs, TransposeInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {TypedArray} from '../../../types';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nimport {transposeImpl} from './Transpose_impl';\n\nexport const transposeConfig: KernelConfig = {\n  kernelName: Transpose,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as TransposeInputs;\n    const {perm} = attrs as {} as TransposeAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(x, 'transpose');\n\n    const xRank = x.shape.length;\n\n    const newShape: number[] = new Array(xRank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n\n    const values = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const result = transposeImpl(values, x.shape, x.dtype, perm, newShape);\n\n    const dataId = cpuBackend.write(result, newShape, x.dtype);\n    return {dataId, shape: newShape, dtype: x.dtype};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div, DivInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {divImpl} from './Div_impl';\n\nexport const divConfig: KernelConfig = {\n  kernelName: Div,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {a, b} = inputs as DivInputs;\n\n    const webglBackend = backend as MathBackendWebGL;\n\n    return divImpl(a, b, webglBackend);\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {FromPixels, FromPixelsAttrs, FromPixelsInputs} from '../../../kernel_names';\nimport {KernelFunc, TensorInfo} from '../../../kernel_registry';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {TextureUsage} from '../tex_util';\n\nimport {FromPixelsProgram} from './FromPixels_utils/from_pixels_gpu';\nimport {FromPixelsPackedProgram} from './FromPixels_utils/from_pixels_packed_gpu';\n\nexport const fromPixelsConfig: KernelConfig = {\n  kernelName: FromPixels,\n  backendName: 'webgl',\n  kernelFunc: fromPixels as {} as KernelFunc,\n};\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\nfunction fromPixels(args: {\n  inputs: FromPixelsInputs,\n  backend: MathBackendWebGL,\n  attrs: FromPixelsAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  let {pixels} = inputs;\n  const {numChannels} = attrs;\n\n  const isVideo = typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement;\n  const isImage = typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement;\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n\n  const texShape: [number, number] = [height, width];\n  const outShape = [height, width, numChannels];\n\n  if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement | HTMLImageElement, 0, 0, width, height);\n    pixels = fromPixels2DContext.canvas;\n  }\n\n  const tempPixelHandle = backend.makeTensorInfo(texShape, 'int32');\n  // This is a byte texture with pixels.\n  backend.texData.get(tempPixelHandle.dataId).usage = TextureUsage.PIXELS;\n  backend.gpgpu.uploadPixelDataToTexture(\n      backend.getTexture(tempPixelHandle.dataId), pixels as ImageData);\n  const program = env().getBool('WEBGL_PACK') ?\n      new FromPixelsPackedProgram(outShape) :\n      new FromPixelsProgram(outShape);\n  const res = backend.runWebGLProgram(program, [tempPixelHandle], 'int32');\n  backend.disposeData(tempPixelHandle.dataId);\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from '../../glsl_version';\nimport {GPGPUProgram} from '../../gpgpu_math';\n\nexport class FromPixelsProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${width}.0, ${height}.0);\n\n        vec4 values = ${glsl.texture2D}(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from '../../glsl_version';\nimport {GPGPUProgram} from '../../gpgpu_math';\n\nexport class FromPixelsPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2(${width}.0, ${height}.0);\n            vec4 values = ${glsl.texture2D}(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {MaxPoolWithArgmax, MaxPoolWithArgmaxAttrs, MaxPoolWithArgmaxInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport * as util from '../../../util';\nimport {MathBackendWebGL} from '../backend_webgl';\n\nimport {maxPoolWithArgmaxImpl} from './MaxPoolWithArgmax_impl';\n\nexport const maxPoolWithArgmaxConfig: KernelConfig = {\n  kernelName: MaxPoolWithArgmax,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as MaxPoolWithArgmaxInputs;\n    const {filterSize, strides, pad, includeBatchInIndex} =\n        attrs as {} as MaxPoolWithArgmaxAttrs;\n    const webglBackend = backend as MathBackendWebGL;\n\n    util.assert(\n        x.shape.length === 4,\n        () => `Error in maxPool: input must be rank 4 but got rank ${\n            x.shape.length}.`);\n    const dilations: [number, number] = [1, 1];\n    util.assert(\n        conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n        () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n            `Got strides ${strides} and dilations '${dilations}'`);\n\n    const convInfo = conv_util.computePool2DInfo(\n        x.shape as [number, number, number, number], filterSize, strides,\n        dilations, pad);\n\n    const [result, indexes] =\n        maxPoolWithArgmaxImpl(x, includeBatchInIndex, convInfo, webglBackend);\n    return [result, indexes];\n  }\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposeProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const switched = getSwitchedCoords(newDim);\n\n    this.userCode = `\n    void main() {\n      ${dtype} resRC = getOutputCoords();\n      setOutput(getA(${switched}));\n    }\n    `;\n  }\n}\n\nfunction getSwitchedCoords(newDim: number[]): string {\n  const rank = newDim.length;\n  if (rank > 6) {\n    throw Error(`Transpose for rank ${rank} is not yet supported`);\n  }\n  const originalOrder =\n      ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u', 'resRC.v'];\n  const switchedCoords = new Array(rank);\n  for (let i = 0; i < newDim.length; i++) {\n    switchedCoords[newDim[i]] = originalOrder[i];\n  }\n  return switchedCoords.join();\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getVecChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    if (this.rank > 6) {\n      throw Error(\n          `Packed transpose for rank ${this.rank} is not yet supported.`);\n    }\n    const dtype = getCoordsDataType(this.rank);\n\n    const outputOrder = getVecChannels('rc', this.rank);\n    const switchedOrder = new Array(this.rank);\n    for (let i = 0; i < newDim.length; i++) {\n      switchedOrder[newDim[i]] = outputOrder[i];\n    }\n    const innerDims = `vec2(${switchedOrder.slice(-2).join()})`;\n    const nextColumn =\n        `++${outputOrder[this.rank - 1]} < ${outputShape[this.rank - 1]}`;\n    const getc = `getChannel(getA(${switchedOrder.join()}), ${innerDims})`;\n\n    this.userCode = `\n    void main() {\n      ${dtype} rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ${getc};\n      if(${nextColumn}) {\n        result[1] = ${getc};\n      }\n      --${outputOrder[this.rank - 1]};\n      if(++${outputOrder[this.rank - 2]} < ${outputShape[this.rank - 2]}) {\n        result[2] = ${getc};\n        if(${nextColumn}) {\n          result[3] = ${getc};\n        }\n      }\n      setOutput(result);\n    }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {KernelConfig, registerKernel} from '../../kernel_registry';\n\nimport {divConfig} from './kernels/Div';\nimport {fromPixelsConfig} from './kernels/FromPixels';\nimport {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';\nimport {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';\nimport {squareConfig} from './kernels/Square';\nimport {squaredDifferenceConfig} from './kernels/SquaredDifference';\nimport {transposeConfig} from './kernels/Transpose';\n\n// List all kernel configs here\nconst kernelConfigs: KernelConfig[] = [\n  fromPixelsConfig, divConfig, nonMaxSuppressionV5Config, squareConfig,\n  squaredDifferenceConfig, transposeConfig, maxPoolWithArgmaxConfig\n];\n\nfor (const kernelConfig of kernelConfigs) {\n  registerKernel(kernelConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../../../../src/types';\nimport {transposeImpl as cpuTranspose} from '../../../backends/cpu/kernels/Transpose_impl';\nimport {Transpose, TransposeAttrs, TransposeInputs} from '../../../kernel_names';\nimport {KernelConfig, TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {transposeImpl} from './Transpose_impl';\n\nexport const transposeConfig: KernelConfig = {\n  kernelName: Transpose,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as TransposeInputs;\n    const {perm} = attrs as {} as TransposeAttrs;\n    const webglBackend = backend as MathBackendWebGL;\n\n    const xRank = x.shape.length;\n\n    const newShape: number[] = new Array(xRank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n\n    let out: TensorInfo;\n    if (webglBackend.shouldExecuteOnCPU([x])) {\n      const xTexData = webglBackend.texData.get(x.dataId);\n      const values = xTexData.values as TypedArray;\n      const outValues = cpuTranspose(values, x.shape, x.dtype, perm, newShape);\n\n      out = webglBackend.makeTensorInfo(newShape, x.dtype);\n      const outData = webglBackend.texData.get(out.dataId);\n      outData.values = outValues;\n    } else {\n      out = transposeImpl(x, perm, webglBackend);\n    }\n    return out;\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport * as binaryop_gpu from '../binaryop_gpu';\nimport {BinaryOpProgram} from '../binaryop_gpu';\nimport * as binaryop_packed_gpu from '../binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from '../binaryop_packed_gpu';\n\nexport function divImpl(\n    a: TensorInfo, b: TensorInfo, backend: MathBackendWebGL): TensorInfo {\n  let program = new BinaryOpProgram(binaryop_gpu.DIV, a.shape, b.shape);\n  if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n    program = new BinaryOpPackedProgram(\n        binaryop_packed_gpu.DIV, a.shape, b.shape, true);\n  }\n  const output = backend.runWebGLProgram(program, [a, b], 'float32');\n  return output;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NonMaxSuppressionV5, NonMaxSuppressionV5Attrs, NonMaxSuppressionV5Inputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {warn} from '../../../log';\nimport {TypedArray} from '../../../types';\nimport {nonMaxSuppressionV5} from '../../non_max_suppression_impl';\n\nimport {MathBackendWebGL} from '../backend_webgl';\n\nexport const nonMaxSuppressionV5Config: KernelConfig = {\n  kernelName: NonMaxSuppressionV5,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n\n    const {boxes, scores} = inputs as NonMaxSuppressionV5Inputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as unknown as NonMaxSuppressionV5Attrs;\n\n    const gpuBackend = backend as MathBackendWebGL;\n\n    const boxesVals = gpuBackend.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = gpuBackend.readSync(scores.dataId) as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square, SquareInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\n\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {SQUARE, UnaryOpProgram} from '../unaryop_gpu';\n\nexport const squareConfig: KernelConfig = {\n  kernelName: Square,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const webglBackend = backend as MathBackendWebGL;\n    const program = new UnaryOpProgram(x.shape, SQUARE);\n    return webglBackend.runWebGLProgram(program, [x], x.dtype);\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {SquaredDifference, SquaredDifferenceInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {BinaryOpProgram} from '../binaryop_gpu';\nimport {BinaryOpPackedProgram} from '../binaryop_packed_gpu';\n\nexport const squaredDifferenceConfig: KernelConfig = {\n  kernelName: SquaredDifference,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {a, b} = inputs as SquaredDifferenceInputs;\n    const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n    const webGLBackend = backend as MathBackendWebGL;\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(SQUARED_DIFFERENCE, a.shape, b.shape) :\n        new BinaryOpProgram(SQUARED_DIFFERENCE, a.shape, b.shape);\n    return webGLBackend.compileAndRun(program, [a, b]);\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {TransposeProgram} from '../transpose_gpu';\nimport {TransposePackedProgram} from '../transpose_packed_gpu';\n\nexport function transposeImpl(\n    x: TensorInfo, perm: number[], backend: MathBackendWebGL): TensorInfo {\n  const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n      new TransposePackedProgram(x.shape, perm) :\n      new TransposeProgram(x.shape, perm);\n  return backend.runWebGLProgram(program, [x], x.dtype);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {Pool2DProgram} from '../pool_gpu';\n\nexport function maxPoolWithArgmaxImpl(\n    x: TensorInfo, includeBatchInIndex: boolean, convInfo: conv_util.Conv2DInfo,\n    backend: MathBackendWebGL): TensorInfo[] {\n  let program = new Pool2DProgram(convInfo, 'max', false);\n  const poolOutput = backend.runWebGLProgram(program, [x], 'float32');\n\n  program = new Pool2DProgram(convInfo, 'max', true, true, includeBatchInIndex);\n  const indexOutput = backend.runWebGLProgram(program, [x], 'float32');\n  return [poolOutput, indexOutput];\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {addGradConfig} from './gradients/Add_grad';\nimport {addNGradConfig} from './gradients/AddN_grad';\nimport {broadcastToGradConfig} from './gradients/BroadcastTo_grad';\nimport {divGradConfig} from './gradients/Div_grad';\nimport {fusedBatchNormGradConfig} from './gradients/FusedBatchNorm_grad';\nimport {identityGradConfig} from './gradients/Identity_grad';\nimport {oneHotGradConfig} from './gradients/OneHot_grad';\nimport {padV2GradConfig} from './gradients/PadV2_grad';\nimport {squareGradConfig} from './gradients/Square_grad';\nimport {squaredDifferenceGradConfig} from './gradients/SquaredDifference_grad';\nimport {tileGradConfig} from './gradients/Tile_grad';\nimport {transposeGradConfig} from './gradients/Transpose_grad';\nimport {GradConfig} from './kernel_registry';\nimport {registerGradient} from './kernel_registry';\n\n// Export all kernel configs here so that the package can auto register them\nconst gradConfigs: GradConfig[] = [\n  addGradConfig, addNGradConfig, broadcastToGradConfig, divGradConfig,\n  fusedBatchNormGradConfig, identityGradConfig, oneHotGradConfig,\n  padV2GradConfig, squareGradConfig, squaredDifferenceGradConfig,\n  tileGradConfig, transposeGradConfig\n];\n\nfor (const gradientConfig of gradConfigs) {\n  registerGradient(gradientConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Add} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport * as broadcast_util from '../ops/broadcast_util';\nimport {Tensor} from '../tensor';\n\nexport const addGradConfig: GradConfig = {\n  kernelName: Add,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const outShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes(a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape(a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes(b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape(b.shape);\n    };\n\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AddN} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const addNGradConfig: GradConfig = {\n  kernelName: AddN,\n  saveAllInputs: true,\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const ders: {[key: string]: () => Tensor} = {};\n    saved.forEach((_, i) => {\n      ders[i] = () => dy.clone();\n    });\n    return ders;\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BroadcastTo, BroadCastToAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const broadcastToGradConfig: GradConfig = {\n  kernelName: BroadcastTo,\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const broadCastToAttrs: BroadCastToAttrs =\n        attrs as unknown as BroadCastToAttrs;\n\n    const inputShape = broadCastToAttrs.inputShape;\n    const outputShape = broadCastToAttrs.shape;\n\n    const reps: number[] = Array.from(outputShape);\n    for (let i = inputShape.length - 1; i >= 0; i--) {\n      if (inputShape[i] === outputShape[i]) {\n        reps[i] = 1;\n      } else if (inputShape[i] !== 1) {\n        throw new Error(`broadcastTo(): [${\n            inputShape}] cannot be broadcast to [${outputShape}].`);\n      }\n    }\n    const axes: number[] = [];\n    for (let i = 0; i < reps.length; i++) {\n      if (reps[i] > 1) {\n        axes.push(i);\n      }\n    }\n    const keepDims = true;\n    return {x: () => dy.sum(axes, keepDims)};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport * as broadcast_util from '../ops/broadcast_util';\nimport {div} from '../ops/div';\nimport {sum} from '../ops/reduction_ops';\nimport {square} from '../ops/square';\nimport {neg} from '../ops/unary_ops';\nimport {Tensor} from '../tensor';\n\nexport const divGradConfig: GradConfig = {\n  kernelName: Div,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const outShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const derA = () => {\n      const res = div(dy, b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes(a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return sum(res, reduceAxes).reshape(a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul(a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes(b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = sum(res, reduceAxes).reshape(b.shape);\n      }\n      const tmp = square(b);\n      return neg(div(res, tmp.toFloat()));\n    };\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {FusedBatchNorm, FusedBatchNormAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {xAs4D} from '../ops/batchnorm_util';\nimport {getReductionAxes} from '../ops/broadcast_util';\nimport {add, mul, reshape, sub} from '../ops/ops';\nimport {sum} from '../ops/reduction_ops';\nimport {scalar} from '../ops/tensor_ops';\nimport {tile} from '../ops/tile';\nimport {rsqrt} from '../ops/unary_ops';\nimport {Tensor, Tensor4D} from '../tensor';\nimport {Rank, ShapeMap} from '../types';\n\nexport const fusedBatchNormGradConfig: GradConfig = {\n  kernelName: FusedBatchNorm,\n  inputsToSave: ['x', 'mean', 'variance', 'scale'],\n  gradFunc: <R extends Rank>(\n      dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const batchNormalizationAttrs: FusedBatchNormAttrs =\n        attrs as {} as FusedBatchNormAttrs;\n    const {varianceEpsilon} = batchNormalizationAttrs;\n    const [x, mean, variance, scale] = saved;\n\n    const x4D: Tensor4D = xAs4D(x);\n\n    const scaleValue = scale == null ? scalar(1) : scale;\n    const reductionAxes = getReductionAxes(mean.shape, x4D.shape);\n    const tileShape: number[] = [];\n    if (mean.rank === 1) {\n      for (let i = 0; i < x4D.shape.length - 1; ++i) {\n        tileShape.push(x4D.shape[i]);\n      }\n      tileShape.push(1);\n    }\n\n    const xMinusMean = sub(x, mean);\n    const dyTimesScaleValue = mul(dy, scaleValue);\n    const oneOverSqrtVariance = rsqrt(add(variance, scalar(varianceEpsilon)));\n    const minusHalfRCube = mul(\n        mul(mul(oneOverSqrtVariance, oneOverSqrtVariance), oneOverSqrtVariance),\n        scalar(-0.5));\n\n    const derX = () => {\n      if (mean.rank === 1) {\n        return reshape(\n            mul(mul(dy,\n                    tile(\n                        oneOverSqrtVariance.as4D(1, 1, 1, mean.shape[0]),\n                        tileShape)),\n                scaleValue),\n            x.shape);\n      } else {\n        return reshape(mul(mul(dy, oneOverSqrtVariance), scaleValue), x.shape);\n      }\n    };\n    const derMean = () => {\n      let meanDer =\n          mul(mul(oneOverSqrtVariance, scalar(-1)), dyTimesScaleValue);\n      if (mean.rank === 1) {\n        meanDer = sum(meanDer, reductionAxes);\n      }\n      return reshape(meanDer, mean.shape as ShapeMap[R]);\n    };\n    const derVariance = () => {\n      let varianceDer = mul(mul(minusHalfRCube, xMinusMean), dyTimesScaleValue);\n\n      if (mean.rank === 1) {\n        varianceDer = sum(varianceDer, reductionAxes);\n      }\n      return reshape(varianceDer, mean.shape as ShapeMap[R]);\n    };\n    const derScale = () => {\n      const xMinusMean2TimesRsqrt = mul(xMinusMean, oneOverSqrtVariance);\n\n      let scaleDer = mul(dy, xMinusMean2TimesRsqrt);\n      if (mean.rank === 1) {\n        scaleDer = sum(scaleDer, reductionAxes);\n      }\n      return reshape(scaleDer, mean.shape as ShapeMap[R]);\n    };\n    const derOffset = () => {\n      let offsetDer = dy;\n      if (mean.rank === 1) {\n        offsetDer = sum(offsetDer, reductionAxes);\n      }\n      return reshape(offsetDer, mean.shape as ShapeMap[R]);\n    };\n    return {\n      x: derX,\n      mean: derMean,\n      variance: derVariance,\n      scale: derScale,\n      offset: derOffset\n    };\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Identity} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const identityGradConfig: GradConfig = {\n  kernelName: Identity,\n  gradFunc: (dy: Tensor) => {\n    return {x: () => dy.toFloat()};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OneHot} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const oneHotGradConfig: GradConfig = {\n  kernelName: OneHot,\n  inputsToSave: ['indices'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const indices = saved[0];\n    return {indices: () => zeros(indices.shape, 'float32')};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PadV2, PadV2Attrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const padV2GradConfig: GradConfig = {\n  kernelName: PadV2,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    // Pad introduces values around the original tensor, so the gradient\n    // slices the original shape out of the gradient.\n    const x = saved[0];\n    const {paddings} = attrs as unknown as PadV2Attrs;\n    const begin = paddings.map(p => p[0]);\n    return {x: () => dy.slice(begin, x.shape)};\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const squareGradConfig: GradConfig = {\n  kernelName: Square,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [x] = saved;\n    return {x: () => dy.mul(x.toFloat().mul(2))};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SquaredDifference} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {mul, sub} from '../ops/binary_ops';\nimport {scalar} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const squaredDifferenceGradConfig: GradConfig = {\n  kernelName: SquaredDifference,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const two = scalar(2);\n    const derA = () => mul(dy, mul(two, sub(a, b)));\n    const derB = () => mul(dy, mul(two, sub(b, a)));\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tile, TileAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {zerosLike} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const tileGradConfig: GradConfig = {\n  kernelName: Tile,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const [x] = saved;\n    const {reps} = attrs as unknown as TileAttrs;\n\n    const derX = () => {\n      let xGrad = zerosLike(x);\n      // TODO(cais): Maybe reduce memory footprint by avoiding repeated\n      // slicing.\n      if (x.rank === 1) {\n        for (let i = 0; i < reps[0]; ++i) {\n          xGrad = xGrad.add(dy.slice([i * x.shape[0]], [x.shape[0]]));\n        }\n      } else if (x.rank === 2) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            xGrad = xGrad.add(dy.slice(\n                [i * x.shape[0], j * x.shape[1]], [x.shape[0], x.shape[1]]));\n          }\n        }\n      } else if (x.rank === 3) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              xGrad = xGrad.add(dy.slice(\n                  [i * x.shape[0], j * x.shape[1], k * x.shape[2]],\n                  [x.shape[0], x.shape[1], x.shape[2]]));\n            }\n          }\n        }\n      } else if (x.rank === 4) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              for (let l = 0; l < reps[3]; ++l) {\n                xGrad = xGrad.add(dy.slice(\n                    [\n                      i * x.shape[0], j * x.shape[1], k * x.shape[2],\n                      l * x.shape[3]\n                    ],\n                    [x.shape[0], x.shape[1], x.shape[2], x.shape[3]]));\n              }\n            }\n          }\n        }\n      } else {\n        throw new Error(\n            `Gradient for tile operation is not implemented for rank-` +\n            `${x.rank} tensors yet.`);\n      }\n      return xGrad;\n    };\n    return {x: derX};\n  },\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Transpose, TransposeAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport * as axis_util from '../ops/axis_util';\nimport {transpose} from '../ops/transpose';\nimport {Tensor} from '../tensor';\n\nexport const transposeGradConfig: GradConfig = {\n  kernelName: Transpose,\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const transposeAttrs: TransposeAttrs = attrs as {} as TransposeAttrs;\n    const {perm} = transposeAttrs;\n    const undoPerm = axis_util.getUndoAxesPermutation(perm);\n    return {x: () => transpose(dy, undoPerm)};\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\nexport class PlatformBrowser implements Platform {\n  // According to the spec, the built-in encoder can do only UTF-8 encoding.\n  // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n  private textEncoder: TextEncoder;\n\n  fetch(path: string, init?: RequestInit): Promise<Response> {\n    return fetch(path, init);\n  }\n\n  now(): number {\n    return performance.now();\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Browser's encoder only supports utf-8, but got ${encoding}`);\n    }\n    if (this.textEncoder == null) {\n      this.textEncoder = new TextEncoder();\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    return new TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_BROWSER')) {\n  env().setPlatform('browser', new PlatformBrowser());\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\n// We are wrapping this within an object so it can be stubbed by Jasmine.\nexport const getNodeFetch = {\n  // tslint:disable-next-line:no-require-imports\n  importFetch: () => require('node-fetch')\n};\n\ntype FetchFn = (url: string, init?: RequestInit) => Promise<Response>;\nlet systemFetch: FetchFn;\n// These getters and setters are for testing so we don't export a mutable\n// variable.\nexport function resetSystemFetch() {\n  systemFetch = null;\n}\nexport function setSystemFetch(fetchFn: FetchFn) {\n  systemFetch = fetchFn;\n}\nexport function getSystemFetch(): FetchFn {\n  return systemFetch;\n}\n\nexport class PlatformNode implements Platform {\n  private textEncoder: TextEncoder;\n  // tslint:disable-next-line:no-any\n  util: any;\n\n  constructor() {\n    // tslint:disable-next-line:no-require-imports\n    this.util = require('util');\n    // According to the spec, the built-in encoder can do only UTF-8 encoding.\n    // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n    this.textEncoder = new this.util.TextEncoder();\n  }\n\n  fetch(path: string, requestInits?: RequestInit): Promise<Response> {\n    if (env().global.fetch != null) {\n      return env().global.fetch(path, requestInits);\n    }\n\n    if (systemFetch == null) {\n      systemFetch = getNodeFetch.importFetch();\n    }\n    return systemFetch(path, requestInits);\n  }\n\n  now(): number {\n    const time = process.hrtime();\n    return time[0] * 1000 + time[1] / 1000000;\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Node built-in encoder only supports utf-8, but got ${encoding}`);\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    if (bytes.length === 0) {\n      return '';\n    }\n    return new this.util.TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_NODE')) {\n  env().setPlatform('node', new PlatformNode());\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/* Type definitions for exporting and importing of models. */\n\n/**\n * A map from Tensor dtype to number of bytes per element of the Tensor.\n */\nexport const DTYPE_VALUE_SIZE_MAP: {[dtype: string]: number} = {\n  'float32': 4,\n  'int32': 4,\n  'uint16': 2,\n  'uint8': 1,\n  'bool': 1,\n};\n\n/**\n * A weight manifest.\n *\n * The weight manifest consists of an ordered list of weight-manifest groups.\n * Each weight-manifest group (\"group\" for short hereafter) consists of a\n * number of weight values stored in a number of paths.\n * See the documentation of `WeightManifestGroupConfig` below for more details.\n */\nexport declare type WeightsManifestConfig = WeightsManifestGroupConfig[];\n\n/**\n * A weight-manifest group.\n *\n * Consists of an ordered list of weight values encoded in binary format,\n * stored in an ordered list of paths.\n */\nexport declare interface WeightsManifestGroupConfig {\n  /**\n   * An ordered list of paths.\n   *\n   * Paths are intentionally abstract in order to be general. For example, they\n   * can be relative URL paths or relative paths on the file system.\n   */\n  paths: string[];\n\n  /**\n   * Specifications of the weights stored in the paths.\n   */\n  weights: WeightsManifestEntry[];\n}\n\n/**\n * Group to which the weight belongs.\n *\n * - 'optimizer': Weight from a stateful optimizer.\n */\nexport type WeightGroup = 'model'|'optimizer';\n\n/**\n * An entry in the weight manifest.\n *\n * The entry contains specification of a weight.\n */\nexport declare interface WeightsManifestEntry {\n  /**\n   * Name of the weight, e.g., 'Dense_1/bias'\n   */\n  name: string;\n\n  /**\n   * Shape of the weight.\n   */\n  shape: number[];\n\n  /**\n   * Data type of the weight.\n   */\n  dtype: 'float32'|'int32'|'bool'|'string';\n\n  /**\n   * Type of the weight.\n   *\n   * Optional.\n   *\n   * The value 'optimizer' indicates the weight belongs to an optimizer\n   * (i.e., used only during model training and not during inference).\n   */\n  group?: WeightGroup;\n\n  /**\n   * Information for dequantization of the weight.\n   */\n  quantization?: {\n    scale: number,           // The scaling constant to multiply by.\n    min: number,             // The (possibly nudged) minimum weight to add.\n    dtype: 'uint16'|'uint8'  // The dtype of the quantized weights.\n  };\n}\n\n/**\n * Options for saving a model.\n * @innamespace io\n */\nexport interface SaveConfig {\n  /**\n   * Whether to save only the trainable weights of the model, ignoring the\n   * non-trainable ones.\n   */\n  trainableOnly?: boolean;\n\n  /**\n   * Whether the optimizer will be saved (if exists).\n   *\n   * Default: `false`.\n   */\n  includeOptimizer?: boolean;\n}\n\n/**\n * Result of a saving operation.\n */\nexport interface SaveResult {\n  /**\n   * Information about the model artifacts saved.\n   */\n  modelArtifactsInfo: ModelArtifactsInfo;\n\n  /**\n   * HTTP responses from the server that handled the model-saving request (if\n   * any). This is applicable only to server-based saving routes.\n   */\n  responses?: Response[];\n\n  /**\n   * Error messages and related data (if any).\n   */\n  errors?: Array<{}|string>;\n}\n\nexport declare interface ModelArtifactsInfo {\n  /**\n   * Timestamp for when the model is saved.\n   */\n  dateSaved: Date;\n\n  /**\n   * TODO (cais,yassogba) consider removing GraphDef as GraphDefs now\n   * come in a JSON format and none of our IOHandlers support a non json\n   * format. We could conder replacing this with 'Binary' if we want to\n   * allow future handlers to save to non json formats (though they will\n   * probably want more information than 'Binary').\n   * Type of the model topology\n   *\n   * Type of the model topology\n   *\n   * Possible values:\n   *   - JSON: JSON config (human-readable, e.g., Keras JSON).\n   *   - GraphDef: TensorFlow\n   *     [GraphDef](https://www.tensorflow.org/extend/tool_developers/#graphdef)\n   *     protocol buffer (binary).\n   */\n  modelTopologyType: 'JSON'|'GraphDef';\n\n  /**\n   * Size of model topology (Keras JSON or GraphDef), in bytes.\n   */\n  modelTopologyBytes?: number;\n\n  /**\n   * Size of weight specification or manifest, in bytes.\n   */\n  weightSpecsBytes?: number;\n\n  /**\n   * Size of weight value data, in bytes.\n   */\n  weightDataBytes?: number;\n}\n\n/** Model training configuration. */\nexport declare interface TrainingConfig {\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  // See\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tfjs-layers/blob/master/src/keras_format/training_config.ts\n  /** Optimizer used for the model training. */\n  optimizer_config: {};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Loss function(s) for the model's output(s). */\n  loss: string|string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Metric function(s) for the model's output(s). */\n  metrics?: string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  weighted_metrics?: string[];\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  sample_weight_mode?: string;\n\n  loss_weights?: number[]|{[key: string]: number};\n}\n\n/**\n * The serialized artifacts of a model, including topology and weights.\n *\n * The `modelTopology`, `trainingConfig`, `weightSpecs` and `weightData` fields\n * of this interface are optional, in order to support topology- or weights-only\n * saving and loading.\n *\n * Note this interface is used internally in IOHandlers.  For the file format\n * written to disk as `model.json`, see `ModelJSON`.\n */\nexport declare interface ModelArtifacts {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology?: {}|ArrayBuffer;\n\n  /**\n   * Serialized configuration for the model's training.\n   */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weight specifications.\n   *\n   * This corresponds to the weightsData below.\n   */\n  weightSpecs?: WeightsManifestEntry[];\n\n  /**\n   * Binary buffer for all weight values concatenated in the order specified\n   * by `weightSpecs`.\n   */\n  weightData?: ArrayBuffer;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * The on-disk format of the `model.json` file.\n *\n * TF.js 1.0 always populates the optional fields when writing model.json.\n * Prior versions did not provide those fields.\n */\nexport declare interface ModelJSON {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology: {};\n\n  /** Model training configuration. */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weights manifest.\n   *\n   * The weights manifest consists of an ordered list of weight-manifest\n   * groups. Each weight-manifest group consists of a number of weight values\n   * stored in a number of paths. See the documentation of\n   * `WeightsManifestConfig` for more details.\n   */\n  weightsManifest: WeightsManifestConfig;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * Type definition for handlers of loading operations.\n */\nexport type LoadHandler = () => Promise<ModelArtifacts>;\n\n/**\n * Type definition for handlers of saving operations.\n */\nexport type SaveHandler = (modelArtifact: ModelArtifacts) =>\n    Promise<SaveResult>;\n\n/**\n * Interface for a model import/export handler.\n *\n * The `save` and `load` handlers are both optional, in order to allow handlers\n * that support only saving or loading.\n */\n// tslint:disable-next-line:interface-name\nexport interface IOHandler {\n  save?: SaveHandler;\n  load?: LoadHandler;\n}\n\n/**\n * An interface for the manager of a model store.\n *\n * A model store is defined as a storage medium on which multiple models can\n * be stored. Each stored model has a unique `path` as its identifier.\n * A `ModelStoreManager` for the store allows actions including\n *\n * - Listing the models stored in the store.\n * - Deleting a model from the store.\n */\nexport interface ModelStoreManager {\n  /**\n   * List all models in the model store.\n   *\n   * @returns A dictionary mapping paths of existing models to their\n   *   model artifacts info. Model artifacts info include type of the model's\n   *   topology, byte sizes of the topology, weights, etc.\n   */\n  listModels(): Promise<{[path: string]: ModelArtifactsInfo}>;\n\n  /**\n   * Remove a model specified by `path`.\n   *\n   * @param path\n   * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n   *   is successful).\n   * @throws Error if deletion fails, e.g., if no model exists at `path`.\n   */\n  removeModel(path: string): Promise<ModelArtifactsInfo>;\n}\n\n/**\n * Callback for the progress of a long-running action such as an HTTP\n * request for a large binary object.\n *\n * `fraction` should be a number in the [0, 1] interval, indicating how\n * much of the action has completed.\n */\nexport type OnProgressCallback = (fraction: number) => void;\n\n/** @innamespace io */\nexport interface LoadOptions {\n  /**\n   * RequestInit (options) for HTTP requests.\n   *\n   * For detailed information on the supported fields, see\n   * [https://developer.mozilla.org/en-US/docs/Web/API/Request/Request](\n   *     https://developer.mozilla.org/en-US/docs/Web/API/Request/Request)\n   */\n  requestInit?: RequestInit;\n\n  /**\n   * Progress callback.\n   */\n  onProgress?: OnProgressCallback;\n\n  /**\n   * A function used to override the `window.fetch` function.\n   */\n  fetchFunc?: Function;\n\n  /**\n   * Strict loading model: whether extraneous weights or missing\n   * weights should trigger an `Error`.\n   *\n   * If `true`, require that the provided weights exactly match those\n   * required by the layers. `false` means that both extra weights\n   * and missing weights will be silently ignored.\n   *\n   * Default: `true`.\n   */\n  strict?: boolean;\n\n  /**\n   * Path prefix for weight files, by default this is calculated from the\n   * path of the model JSON file.\n   *\n   * For instance, if the path to the model JSON file is\n   * `http://localhost/foo/model.json`, then the default path prefix will be\n   * `http://localhost/foo/`. If a weight file has the path value\n   * `group1-shard1of2` in the weight manifest, then the weight file will be\n   * loaded from `http://localhost/foo/group1-shard1of2` by default. However,\n   * if you provide a `weightPathPrefix` value of\n   * `http://localhost/foo/alt-weights`, then the weight file will be loaded\n   * from the path `http://localhost/foo/alt-weights/group1-shard1of2` instead.\n   */\n  weightPathPrefix?: string;\n\n  /**\n   * Whether the module or model is to be loaded from TF Hub.\n   *\n   * Setting this to `true` allows passing a TF-Hub module URL, omitting the\n   * standard model file name and the query parameters.\n   *\n   * Default: `false`.\n   */\n  fromTFHub?: boolean;\n}\n\n/**\n * Additional options for Platform.fetch\n */\nexport interface RequestDetails {\n  /**\n   * Is this request for a binary file (as opposed to a json file)\n   */\n  isBinary?: boolean;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {DTYPE_VALUE_SIZE_MAP, ModelArtifacts, ModelArtifactsInfo, WeightGroup, WeightsManifestEntry} from './types';\n\n/** Number of bytes reserved for the length of the string. (32bit integer). */\nconst NUM_BYTES_STRING_LENGTH = 4;\n\n/**\n * Encode a map from names to weight values as an ArrayBuffer, along with an\n * `Array` of `WeightsManifestEntry` as specification of the encoded weights.\n *\n * This function does not perform sharding.\n *\n * This function is the reverse of `decodeWeights`.\n *\n * @param tensors A map (\"dict\") from names to tensors.\n * @param group Group to which the weights belong (optional).\n * @returns A `Promise` of\n *   - A flat `ArrayBuffer` with all the binary values of the `Tensor`s\n *     concatenated.\n *   - An `Array` of `WeightManifestEntry`s, carrying information including\n *     tensor names, `dtype`s and shapes.\n * @throws Error: on unsupported tensor `dtype`.\n */\nexport async function encodeWeights(\n    tensors: NamedTensorMap|NamedTensor[], group?: WeightGroup):\n    Promise<{data: ArrayBuffer, specs: WeightsManifestEntry[]}> {\n  // TODO(adarob, cais): Support quantization.\n  const specs: WeightsManifestEntry[] = [];\n  const dataPromises: Array<Promise<TypedArray>> = [];\n\n  const names: string[] = Array.isArray(tensors) ?\n      tensors.map(tensor => tensor.name) :\n      Object.keys(tensors);\n\n  for (let i = 0; i < names.length; ++i) {\n    const name = names[i];\n    const t = Array.isArray(tensors) ? tensors[i].tensor : tensors[name];\n    if (t.dtype !== 'float32' && t.dtype !== 'int32' && t.dtype !== 'bool' &&\n        t.dtype !== 'string') {\n      throw new Error(`Unsupported dtype in weight '${name}': ${t.dtype}`);\n    }\n    const spec: WeightsManifestEntry = {name, shape: t.shape, dtype: t.dtype};\n    if (t.dtype === 'string') {\n      const utf8bytes = new Promise<TypedArray>(async resolve => {\n        const vals = await t.bytes() as Uint8Array[];\n        const totalNumBytes = vals.reduce((p, c) => p + c.length, 0) +\n            NUM_BYTES_STRING_LENGTH * vals.length;\n        const bytes = new Uint8Array(totalNumBytes);\n        let offset = 0;\n        for (let i = 0; i < vals.length; i++) {\n          const val = vals[i];\n          const bytesOfLength =\n              new Uint8Array(new Uint32Array([val.length]).buffer);\n          bytes.set(bytesOfLength, offset);\n          offset += NUM_BYTES_STRING_LENGTH;\n          bytes.set(val, offset);\n          offset += val.length;\n        }\n        resolve(bytes);\n      });\n      dataPromises.push(utf8bytes);\n    } else {\n      dataPromises.push(t.data());\n    }\n    if (group != null) {\n      spec.group = group;\n    }\n    specs.push(spec);\n  }\n\n  const tensorValues = await Promise.all(dataPromises);\n  return {data: concatenateTypedArrays(tensorValues), specs};\n}\n\n/**\n * Decode flat ArrayBuffer as weights.\n *\n * This function does not handle sharding.\n *\n * This function is the reverse of `encodeWeights`.\n *\n * @param buffer A flat ArrayBuffer carrying the binary values of the tensors\n *   concatenated in the order specified in `specs`.\n * @param specs Specifications of the names, dtypes and shapes of the tensors\n *   whose value are encoded by `buffer`.\n * @return A map from tensor name to tensor value, with the names corresponding\n *   to names in `specs`.\n * @throws Error, if any of the tensors has unsupported dtype.\n */\nexport function decodeWeights(\n    buffer: ArrayBuffer, specs: WeightsManifestEntry[]): NamedTensorMap {\n  // TODO(adarob, cais): Support quantization.\n  const out: NamedTensorMap = {};\n  let offset = 0;\n  for (const spec of specs) {\n    const name = spec.name;\n    const dtype = spec.dtype;\n    const shape = spec.shape;\n    const size = sizeFromShape(shape);\n    let values: TypedArray|string[]|Uint8Array[];\n\n    if ('quantization' in spec) {\n      const quantization = spec.quantization;\n      if (quantization.dtype !== 'uint8' && quantization.dtype !== 'uint16') {\n        throw new Error(\n            `Weight ${spec.name} has unknown ` +\n            `quantization dtype ${quantization.dtype}. ` +\n            `Supported quantization dtypes are: 'uint8' and 'uint16'.`);\n      }\n      const quantizationSizeFactor = DTYPE_VALUE_SIZE_MAP[quantization.dtype];\n      const byteBuffer =\n          buffer.slice(offset, offset + size * quantizationSizeFactor);\n      const quantizedArray = (quantization.dtype === 'uint8') ?\n          new Uint8Array(byteBuffer) :\n          new Uint16Array(byteBuffer);\n      if (dtype === 'float32') {\n        values = Float32Array.from(\n            quantizedArray, v => v * quantization.scale + quantization.min);\n      } else if (dtype === 'int32') {\n        values = Int32Array.from(\n            quantizedArray,\n            v => Math.round(v * quantization.scale + quantization.min));\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * quantizationSizeFactor;\n    } else if (dtype === 'string') {\n      const size = sizeFromShape(spec.shape);\n      values = [];\n      for (let i = 0; i < size; i++) {\n        const byteLength = new Uint32Array(\n            buffer.slice(offset, offset + NUM_BYTES_STRING_LENGTH))[0];\n        offset += NUM_BYTES_STRING_LENGTH;\n        const bytes = new Uint8Array(buffer.slice(offset, offset + byteLength));\n        (values as Uint8Array[]).push(bytes);\n        offset += byteLength;\n      }\n    } else {\n      const dtypeFactor = DTYPE_VALUE_SIZE_MAP[dtype];\n      const byteBuffer = buffer.slice(offset, offset + size * dtypeFactor);\n\n      if (dtype === 'float32') {\n        values = new Float32Array(byteBuffer);\n      } else if (dtype === 'int32') {\n        values = new Int32Array(byteBuffer);\n      } else if (dtype === 'bool') {\n        values = new Uint8Array(byteBuffer);\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * dtypeFactor;\n    }\n\n    out[name] = tensor(values, shape, dtype);\n  }\n  return out;\n}\n\n/**\n * Concatenate TypedArrays into an ArrayBuffer.\n */\nexport function concatenateTypedArrays(xs: TypedArray[]): ArrayBuffer {\n  // TODO(adarob, cais): Support quantization.\n  if (xs === null) {\n    throw new Error(`Invalid input value: ${JSON.stringify(xs)}`);\n  }\n\n  let totalByteLength = 0;\n\n  // `normalizedXs` is here for this reason: a `TypedArray`'s `buffer'\n  // can have a different byte length from that of the `TypedArray` itself,\n  // for example, when the `TypedArray` is created from an offset in an\n  // `ArrayBuffer`. `normliazedXs` holds `TypedArray`s whose `buffer`s match\n  // the `TypedArray` in byte length. If an element of `xs` does not show\n  // this property, a new `TypedArray` that satisfy this property will be\n  // constructed and pushed into `normalizedXs`.\n  const normalizedXs: TypedArray[] = [];\n  xs.forEach((x: TypedArray) => {\n    totalByteLength += x.byteLength;\n    // tslint:disable:no-any\n    normalizedXs.push(\n        x.byteLength === x.buffer.byteLength ? x :\n                                               new (x.constructor as any)(x));\n    if (!(x as any instanceof Float32Array || x as any instanceof Int32Array ||\n          x as any instanceof Uint8Array)) {\n      throw new Error(`Unsupported TypedArray subtype: ${x.constructor.name}`);\n    }\n    // tslint:enable:no-any\n  });\n\n  const y = new Uint8Array(totalByteLength);\n  let offset = 0;\n  normalizedXs.forEach((x: TypedArray) => {\n    y.set(new Uint8Array(x.buffer), offset);\n    offset += x.byteLength;\n  });\n\n  return y.buffer;\n}\n\n// Use Buffer on Node.js instead of Blob/atob/btoa\nconst useNodeBuffer = typeof Buffer !== 'undefined' &&\n    (typeof Blob === 'undefined' || typeof atob === 'undefined' ||\n     typeof btoa === 'undefined');\n\n/**\n * Calculate the byte length of a JavaScript string.\n *\n * Note that a JavaScript string can contain wide characters, therefore the\n * length of the string is not necessarily equal to the byte length.\n *\n * @param str Input string.\n * @returns Byte length.\n */\nexport function stringByteLength(str: string): number {\n  if (useNodeBuffer) {\n    return Buffer.byteLength(str);\n  }\n  return new Blob([str]).size;\n}\n\n/**\n * Encode an ArrayBuffer as a base64 encoded string.\n *\n * @param buffer `ArrayBuffer` to be converted.\n * @returns A string that base64-encodes `buffer`.\n */\nexport function arrayBufferToBase64String(buffer: ArrayBuffer): string {\n  if (useNodeBuffer) {\n    return Buffer.from(buffer).toString('base64');\n  }\n  const buf = new Uint8Array(buffer);\n  let s = '';\n  for (let i = 0, l = buf.length; i < l; i++) {\n    s += String.fromCharCode(buf[i]);\n  }\n  return btoa(s);\n}\n\n/**\n * Decode a base64 string as an ArrayBuffer.\n *\n * @param str Base64 string.\n * @returns Decoded `ArrayBuffer`.\n */\nexport function base64StringToArrayBuffer(str: string): ArrayBuffer {\n  if (useNodeBuffer) {\n    const buf = Buffer.from(str, 'base64');\n    return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);\n  }\n  const s = atob(str);\n  const buffer = new Uint8Array(s.length);\n  for (let i = 0; i < s.length; ++i) {\n    buffer.set([s.charCodeAt(i)], i);\n  }\n  return buffer.buffer;\n}\n\n/**\n * Concatenate a number of ArrayBuffers into one.\n *\n * @param buffers A number of array buffers to concatenate.\n * @returns Result of concatenating `buffers` in order.\n */\nexport function concatenateArrayBuffers(buffers: ArrayBuffer[]): ArrayBuffer {\n  let totalByteLength = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    totalByteLength += buffer.byteLength;\n  });\n\n  const temp = new Uint8Array(totalByteLength);\n  let offset = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    temp.set(new Uint8Array(buffer), offset);\n    offset += buffer.byteLength;\n  });\n  return temp.buffer;\n}\n\n/**\n * Get the basename of a path.\n *\n * Behaves in a way analogous to Linux's basename command.\n *\n * @param path\n */\nexport function basename(path: string): string {\n  const SEPARATOR = '/';\n  path = path.trim();\n  while (path.endsWith(SEPARATOR)) {\n    path = path.slice(0, path.length - 1);\n  }\n  const items = path.split(SEPARATOR);\n  return items[items.length - 1];\n}\n\n/**\n * Populate ModelArtifactsInfo fields for a model with JSON topology.\n * @param modelArtifacts\n * @returns A ModelArtifactsInfo object.\n */\nexport function getModelArtifactsInfoForJSON(modelArtifacts: ModelArtifacts):\n    ModelArtifactsInfo {\n  if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n    throw new Error('Expected JSON model topology, received ArrayBuffer.');\n  }\n\n  return {\n    dateSaved: new Date(),\n    modelTopologyType: 'JSON',\n    modelTopologyBytes: modelArtifacts.modelTopology == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),\n    weightSpecsBytes: modelArtifacts.weightSpecs == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),\n    weightDataBytes: modelArtifacts.weightData == null ?\n        0 :\n        modelArtifacts.weightData.byteLength,\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IOHandler} from './types';\n\nexport type IORouter = (url: string|string[], onProgress?: Function) =>\n    IOHandler;\n\nexport class IORouterRegistry {\n  // Singleton instance.\n  private static instance: IORouterRegistry;\n\n  private saveRouters: IORouter[];\n  private loadRouters: IORouter[];\n\n  private constructor() {\n    this.saveRouters = [];\n    this.loadRouters = [];\n  }\n\n  private static getInstance(): IORouterRegistry {\n    if (IORouterRegistry.instance == null) {\n      IORouterRegistry.instance = new IORouterRegistry();\n    }\n    return IORouterRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerSaveRouter(saveRouter: IORouter) {\n    IORouterRegistry.getInstance().saveRouters.push(saveRouter);\n  }\n\n  /**\n   * Register a load-handler router.\n   *\n   * @param loadRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `load` method defined or `null`.\n   */\n  static registerLoadRouter(loadRouter: IORouter) {\n    IORouterRegistry.getInstance().loadRouters.push(loadRouter);\n  }\n\n  /**\n   * Look up IOHandler for saving, given a URL-like string.\n   *\n   * @param url\n   * @returns If only one match is found, an instance of IOHandler with the\n   * `save` method defined. If no match is found, `null`.\n   * @throws Error, if more than one match is found.\n   */\n  static getSaveHandlers(url: string|string[]): IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'save');\n  }\n\n  /**\n   * Look up IOHandler for loading, given a URL-like string.\n   *\n   * @param url\n   * @param onProgress Optional, progress callback function, fired periodically\n   *   before the load is completed.\n   * @returns All valid handlers for `url`, given the currently registered\n   *   handler routers.\n   */\n  static getLoadHandlers(url: string|string[], onProgress?: Function):\n      IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'load', onProgress);\n  }\n\n  private static getHandlers(\n      url: string|string[], handlerType: 'save'|'load',\n      onProgress?: Function): IOHandler[] {\n    const validHandlers: IOHandler[] = [];\n    const routers = handlerType === 'load' ?\n        IORouterRegistry.getInstance().loadRouters :\n        IORouterRegistry.getInstance().saveRouters;\n    routers.forEach(router => {\n      const handler = router(url, onProgress);\n      if (handler !== null) {\n        validHandlers.push(handler);\n      }\n    });\n    return validHandlers;\n  }\n}\n\nexport const registerSaveRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerSaveRouter(loudRouter);\nexport const registerLoadRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerLoadRouter(loudRouter);\nexport const getSaveHandlers = (url: string|string[]) =>\n    IORouterRegistry.getSaveHandlers(url);\nexport const getLoadHandlers = (url: string|string[], onProgress?: Function) =>\n    IORouterRegistry.getLoadHandlers(url, onProgress);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Classes and functions for model management across multiple storage mediums.\n *\n * Supported client actions:\n * - Listing models on all registered storage mediums.\n * - Remove model by URL from any registered storage mediums, by using URL\n *   string.\n * - Moving or copying model from one path to another in the same medium or from\n *   one medium to another, by using URL strings.\n */\n\nimport {assert} from '../util';\n\nimport {IORouterRegistry} from './router_registry';\nimport {ModelArtifactsInfo, ModelStoreManager} from './types';\n\nconst URL_SCHEME_SUFFIX = '://';\n\nexport class ModelStoreManagerRegistry {\n  // Singleton instance.\n  private static instance: ModelStoreManagerRegistry;\n\n  private managers: {[scheme: string]: ModelStoreManager};\n\n  private constructor() {\n    this.managers = {};\n  }\n\n  private static getInstance(): ModelStoreManagerRegistry {\n    if (ModelStoreManagerRegistry.instance == null) {\n      ModelStoreManagerRegistry.instance = new ModelStoreManagerRegistry();\n    }\n    return ModelStoreManagerRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerManager(scheme: string, manager: ModelStoreManager) {\n    assert(scheme != null, () => 'scheme must not be undefined or null.');\n    if (scheme.endsWith(URL_SCHEME_SUFFIX)) {\n      scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));\n    }\n    assert(scheme.length > 0, () => 'scheme must not be an empty string.');\n    const registry = ModelStoreManagerRegistry.getInstance();\n    assert(\n        registry.managers[scheme] == null,\n        () => `A model store manager is already registered for scheme '${\n            scheme}'.`);\n    registry.managers[scheme] = manager;\n  }\n\n  static getManager(scheme: string): ModelStoreManager {\n    const manager = this.getInstance().managers[scheme];\n    if (manager == null) {\n      throw new Error(`Cannot find model manager for scheme '${scheme}'`);\n    }\n    return manager;\n  }\n\n  static getSchemes(): string[] {\n    return Object.keys(this.getInstance().managers);\n  }\n}\n\n/**\n * Helper method for parsing a URL string into a scheme and a path.\n *\n * @param url E.g., 'localstorage://my-model'\n * @returns A dictionary with two fields: scheme and path.\n *   Scheme: e.g., 'localstorage' in the example above.\n *   Path: e.g., 'my-model' in the example above.\n */\nfunction parseURL(url: string): {scheme: string, path: string} {\n  if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {\n    throw new Error(\n        `The url string provided does not contain a scheme. ` +\n        `Supported schemes are: ` +\n        `${ModelStoreManagerRegistry.getSchemes().join(',')}`);\n  }\n  return {\n    scheme: url.split(URL_SCHEME_SUFFIX)[0],\n    path: url.split(URL_SCHEME_SUFFIX)[1],\n  };\n}\n\nasync function cloneModelInternal(\n    sourceURL: string, destURL: string,\n    deleteSource = false): Promise<ModelArtifactsInfo> {\n  assert(\n      sourceURL !== destURL,\n      () => `Old path and new path are the same: '${sourceURL}'`);\n\n  const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);\n  assert(\n      loadHandlers.length > 0,\n      () => `Copying failed because no load handler is found for source URL ${\n          sourceURL}.`);\n  assert(\n      loadHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `load handlers for source URL ${sourceURL}.`);\n  const loadHandler = loadHandlers[0];\n\n  const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);\n  assert(\n      saveHandlers.length > 0,\n      () => `Copying failed because no save handler is found for destination ` +\n          `URL ${destURL}.`);\n  assert(\n      saveHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `save handlers for destination URL ${destURL}.`);\n  const saveHandler = saveHandlers[0];\n\n  const sourceScheme = parseURL(sourceURL).scheme;\n  const sourcePath = parseURL(sourceURL).path;\n  const sameMedium = sourceScheme === parseURL(sourceURL).scheme;\n\n  const modelArtifacts = await loadHandler.load();\n\n  // If moving within the same storage medium, remove the old model as soon as\n  // the loading is done. Without doing this, it is possible that the combined\n  // size of the two models will cause the cloning to fail.\n  if (deleteSource && sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  const saveResult = await saveHandler.save(modelArtifacts);\n\n  // If moving between mediums, the deletion is done after the save succeeds.\n  // This guards against the case in which saving to the destination medium\n  // fails.\n  if (deleteSource && !sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  return saveResult.modelArtifactsInfo;\n}\n\n/**\n * List all models stored in registered storage mediums.\n *\n * For a web browser environment, the registered mediums are Local Storage and\n * IndexedDB.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @returns A `Promise` of a dictionary mapping URLs of existing models to\n * their model artifacts info. URLs include medium-specific schemes, e.g.,\n *   'indexeddb://my/model/1'. Model artifacts info include type of the\n * model's topology, byte sizes of the topology, weights, etc.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function listModels(): Promise<{[url: string]: ModelArtifactsInfo}> {\n  const schemes = ModelStoreManagerRegistry.getSchemes();\n  const out: {[url: string]: ModelArtifactsInfo} = {};\n  for (const scheme of schemes) {\n    const schemeOut =\n        await ModelStoreManagerRegistry.getManager(scheme).listModels();\n    for (const path in schemeOut) {\n      const url = scheme + URL_SCHEME_SUFFIX + path;\n      out[url] = schemeOut[path];\n    }\n  }\n  return out;\n}\n\n/**\n * Remove a model specified by URL from a reigstered storage medium.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @param url A URL to a stored model, with a scheme prefix, e.g.,\n *   'localstorage://my-model-1', 'indexeddb://my/model/2'.\n * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n *   is successful).\n * @throws Error if deletion fails, e.g., if no model exists at `path`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function removeModel(url: string): Promise<ModelArtifactsInfo> {\n  const schemeAndPath = parseURL(url);\n  const manager = ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);\n  return manager.removeModel(schemeAndPath.path);\n}\n\n/**\n * Copy a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Copying within a storage medium, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Copying between two storage mediums, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Copy the model, from Local Storage to IndexedDB.\n * await tf.io.copyModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove both models.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of copying.\n * @param destURL Destination URL of copying.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if copying fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function copyModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = false;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\n/**\n * Move a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Moving within a storage medium, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Moving between two storage mediums, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Move the model, from Local Storage to IndexedDB.\n * await tf.io.moveModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove the moved model.\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of moving.\n * @param destURL Destination URL of moving.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if moving fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function moveModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = true;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\nexport {moveModel, copyModel, removeModel, listModels};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst DATABASE_NAME = 'tensorflowjs';\nconst DATABASE_VERSION = 1;\n\n// Model data and ModelArtifactsInfo (metadata) are stored in two separate\n// stores for efficient access of the list of stored models and their metadata.\n// 1. The object store for model data: topology, weights and weight manifests.\nconst MODEL_STORE_NAME = 'models_store';\n// 2. The object store for ModelArtifactsInfo, including meta-information such\n//    as the type of topology (JSON vs binary), byte size of the topology, byte\n//    size of the weights, etc.\nconst INFO_STORE_NAME = 'model_info_store';\n\n/**\n * Delete the entire database for tensorflow.js, including the models store.\n */\nexport async function deleteDatabase(): Promise<void> {\n  const idbFactory = getIndexedDBFactory();\n\n  return new Promise<void>((resolve, reject) => {\n    const deleteRequest = idbFactory.deleteDatabase(DATABASE_NAME);\n    deleteRequest.onsuccess = () => resolve();\n    deleteRequest.onerror = error => reject(error);\n  });\n}\n\nfunction getIndexedDBFactory(): IDBFactory {\n  if (!env().getBool('IS_BROWSER')) {\n    // TODO(cais): Add more info about what IOHandler subtypes are available.\n    //   Maybe point to a doc page on the web and/or automatically determine\n    //   the available IOHandlers and print them in the error message.\n    throw new Error(\n        'Failed to obtain IndexedDB factory because the current environment' +\n        'is not a web browser.');\n  }\n  // tslint:disable-next-line:no-any\n  const theWindow: any = window || self;\n  const factory = theWindow.indexedDB || theWindow.mozIndexedDB ||\n      theWindow.webkitIndexedDB || theWindow.msIndexedDB ||\n      theWindow.shimIndexedDB;\n  if (factory == null) {\n    throw new Error(\n        'The current browser does not appear to support IndexedDB.');\n  }\n  return factory;\n}\n\nfunction setUpDatabase(openRequest: IDBRequest) {\n  const db = openRequest.result as IDBDatabase;\n  db.createObjectStore(MODEL_STORE_NAME, {keyPath: 'modelPath'});\n  db.createObjectStore(INFO_STORE_NAME, {keyPath: 'modelPath'});\n}\n\n/**\n * IOHandler subclass: Browser IndexedDB.\n *\n * See the doc string of `browserIndexedDB` for more details.\n */\nexport class BrowserIndexedDB implements IOHandler {\n  protected readonly indexedDB: IDBFactory;\n  protected readonly modelPath: string;\n\n  static readonly URL_SCHEME = 'indexeddb://';\n\n  constructor(modelPath: string) {\n    this.indexedDB = getIndexedDBFactory();\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For IndexedDB, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    // TODO(cais): Support saving GraphDef models.\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    return this.databaseAction(this.modelPath, modelArtifacts) as\n        Promise<SaveResult>;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    return this.databaseAction(this.modelPath) as Promise<ModelArtifacts>;\n  }\n\n  /**\n   * Perform database action to put model artifacts into or read model artifacts\n   * from IndexedDB object store.\n   *\n   * Whether the action is put or get depends on whether `modelArtifacts` is\n   * specified. If it is specified, the action will be put; otherwise the action\n   * will be get.\n   *\n   * @param modelPath A unique string path for the model.\n   * @param modelArtifacts If specified, it will be the model artifacts to be\n   *   stored in IndexedDB.\n   * @returns A `Promise` of `SaveResult`, if the action is put, or a `Promise`\n   *   of `ModelArtifacts`, if the action is get.\n   */\n  private databaseAction(modelPath: string, modelArtifacts?: ModelArtifacts):\n      Promise<ModelArtifacts|SaveResult> {\n    return new Promise<ModelArtifacts|SaveResult>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n\n        if (modelArtifacts == null) {\n          // Read model out from object store.\n          const modelTx = db.transaction(MODEL_STORE_NAME, 'readonly');\n          const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n          const getRequest = modelStore.get(this.modelPath);\n          getRequest.onsuccess = () => {\n            if (getRequest.result == null) {\n              db.close();\n              return reject(new Error(\n                  `Cannot find model with path '${this.modelPath}' ` +\n                  `in IndexedDB.`));\n            } else {\n              resolve(getRequest.result.modelArtifacts);\n            }\n          };\n          getRequest.onerror = error => {\n            db.close();\n            return reject(getRequest.error);\n          };\n          modelTx.oncomplete = () => db.close();\n        } else {\n          // Put model into object store.\n          const modelArtifactsInfo: ModelArtifactsInfo =\n              getModelArtifactsInfoForJSON(modelArtifacts);\n          // First, put ModelArtifactsInfo into info store.\n          const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n          let infoStore = infoTx.objectStore(INFO_STORE_NAME);\n          const putInfoRequest =\n              infoStore.put({modelPath: this.modelPath, modelArtifactsInfo});\n          let modelTx: IDBTransaction;\n          putInfoRequest.onsuccess = () => {\n            // Second, put model data into model store.\n            modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n            const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n            const putModelRequest = modelStore.put({\n              modelPath: this.modelPath,\n              modelArtifacts,\n              modelArtifactsInfo\n            });\n            putModelRequest.onsuccess = () => resolve({modelArtifactsInfo});\n            putModelRequest.onerror = error => {\n              // If the put-model request fails, roll back the info entry as\n              // well.\n              infoStore = infoTx.objectStore(INFO_STORE_NAME);\n              const deleteInfoRequest = infoStore.delete(this.modelPath);\n              deleteInfoRequest.onsuccess = () => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n              deleteInfoRequest.onerror = error => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n            };\n          };\n          putInfoRequest.onerror = error => {\n            db.close();\n            return reject(putInfoRequest.error);\n          };\n          infoTx.oncomplete = () => {\n            if (modelTx == null) {\n              db.close();\n            } else {\n              modelTx.oncomplete = () => db.close();\n            }\n          };\n        }\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nexport const indexedDBRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserIndexedDB.URL_SCHEME)) {\n      return browserIndexedDB(url.slice(BrowserIndexedDB.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(indexedDBRouter);\nIORouterRegistry.registerLoadRouter(indexedDBRouter);\n\n/**\n * Creates a browser IndexedDB IOHandler for saving and loading models.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save('indexeddb://MyModel'));\n * console.log(saveResult);\n * ```\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),\n *   which can be used with, e.g., `tf.Model.save`.\n */\nexport function browserIndexedDB(modelPath: string): IOHandler {\n  return new BrowserIndexedDB(modelPath);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserIndexedDB.URL_SCHEME) ?\n      key.slice(BrowserIndexedDB.URL_SCHEME.length) :\n      key;\n}\n\nexport class BrowserIndexedDBManager implements ModelStoreManager {\n  private indexedDB: IDBFactory;\n\n  constructor() {\n    this.indexedDB = getIndexedDBFactory();\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    return new Promise<{[path: string]: ModelArtifactsInfo}>(\n        (resolve, reject) => {\n          const openRequest =\n              this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n          openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n          openRequest.onsuccess = () => {\n            const db = openRequest.result;\n            const tx = db.transaction(INFO_STORE_NAME, 'readonly');\n            const store = tx.objectStore(INFO_STORE_NAME);\n            // tslint:disable:max-line-length\n            // Need to cast `store` as `any` here because TypeScript's DOM\n            // library does not have the `getAll()` method even though the\n            // method is supported in the latest version of most mainstream\n            // browsers:\n            // https://developer.mozilla.org/en-US/docs/Web/API/IDBObjectStore/getAll\n            // tslint:enable:max-line-length\n            // tslint:disable-next-line:no-any\n            const getAllInfoRequest = (store as any).getAll() as IDBRequest;\n            getAllInfoRequest.onsuccess = () => {\n              const out: {[path: string]: ModelArtifactsInfo} = {};\n              for (const item of getAllInfoRequest.result) {\n                out[item.modelPath] = item.modelArtifactsInfo;\n              }\n              resolve(out);\n            };\n            getAllInfoRequest.onerror = error => {\n              db.close();\n              return reject(getAllInfoRequest.error);\n            };\n            tx.oncomplete = () => db.close();\n          };\n          openRequest.onerror = error => reject(openRequest.error);\n        });\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    return new Promise<ModelArtifactsInfo>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n        const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n        const infoStore = infoTx.objectStore(INFO_STORE_NAME);\n\n        const getInfoRequest = infoStore.get(path);\n        let modelTx: IDBTransaction;\n        getInfoRequest.onsuccess = () => {\n          if (getInfoRequest.result == null) {\n            db.close();\n            return reject(new Error(\n                `Cannot find model with path '${path}' ` +\n                `in IndexedDB.`));\n          } else {\n            // First, delete the entry in the info store.\n            const deleteInfoRequest = infoStore.delete(path);\n            const deleteModelData = () => {\n              // Second, delete the entry in the model store.\n              modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n              const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n              const deleteModelRequest = modelStore.delete(path);\n              deleteModelRequest.onsuccess = () =>\n                  resolve(getInfoRequest.result.modelArtifactsInfo);\n              deleteModelRequest.onerror = error =>\n                  reject(getInfoRequest.error);\n            };\n            // Proceed with deleting model data regardless of whether deletion\n            // of info data succeeds or not.\n            deleteInfoRequest.onsuccess = deleteModelData;\n            deleteInfoRequest.onerror = error => {\n              deleteModelData();\n              db.close();\n              return reject(getInfoRequest.error);\n            };\n          }\n        };\n        getInfoRequest.onerror = error => {\n          db.close();\n          return reject(getInfoRequest.error);\n        };\n\n        infoTx.oncomplete = () => {\n          if (modelTx == null) {\n            db.close();\n          } else {\n            modelTx.oncomplete = () => db.close();\n          }\n        };\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {arrayBufferToBase64String, base64StringToArrayBuffer, getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst PATH_SEPARATOR = '/';\nconst PATH_PREFIX = 'tensorflowjs_models';\nconst INFO_SUFFIX = 'info';\nconst MODEL_TOPOLOGY_SUFFIX = 'model_topology';\nconst WEIGHT_SPECS_SUFFIX = 'weight_specs';\nconst WEIGHT_DATA_SUFFIX = 'weight_data';\nconst MODEL_METADATA_SUFFIX = 'model_metadata';\n\n/**\n * Purge all tensorflow.js-saved model artifacts from local storage.\n *\n * @returns Paths of the models purged.\n */\nexport function purgeLocalStorageArtifacts(): string[] {\n  if (!env().getBool('IS_BROWSER') ||\n      typeof window === 'undefined' ||\n      typeof window.localStorage === 'undefined') {\n    throw new Error(\n        'purgeLocalStorageModels() cannot proceed because local storage is ' +\n        'unavailable in the current environment.');\n  }\n  const LS = window.localStorage;\n  const purgedModelPaths: string[] = [];\n  for (let i = 0; i < LS.length; ++i) {\n    const key = LS.key(i);\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    if (key.startsWith(prefix) && key.length > prefix.length) {\n      LS.removeItem(key);\n      const modelName = getModelPathFromKey(key);\n      if (purgedModelPaths.indexOf(modelName) === -1) {\n        purgedModelPaths.push(modelName);\n      }\n    }\n  }\n  return purgedModelPaths;\n}\n\nfunction getModelKeys(path: string): {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n} {\n  return {\n    info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),\n    topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),\n    weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),\n    weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),\n    modelMetadata:\n        [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR)\n  };\n}\n\n/**\n * Get model path from a local-storage key.\n *\n * E.g., 'tensorflowjs_models/my/model/1/info' --> 'my/model/1'\n *\n * @param key\n */\nfunction getModelPathFromKey(key: string) {\n  const items = key.split(PATH_SEPARATOR);\n  if (items.length < 3) {\n    throw new Error(`Invalid key format: ${key}`);\n  }\n  return items.slice(1, items.length - 1).join(PATH_SEPARATOR);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserLocalStorage.URL_SCHEME) ?\n      key.slice(BrowserLocalStorage.URL_SCHEME.length) :\n      key;\n}\n\ndeclare type LocalStorageKeys = {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n};\n\n/**\n * IOHandler subclass: Browser Local Storage.\n *\n * See the doc string to `browserLocalStorage` for more details.\n */\nexport class BrowserLocalStorage implements IOHandler {\n  protected readonly LS: Storage;\n  protected readonly modelPath: string;\n  protected readonly keys: LocalStorageKeys;\n\n  static readonly URL_SCHEME = 'localstorage://';\n\n  constructor(modelPath: string) {\n    if (!env().getBool('IS_BROWSER') ||\n          typeof window === 'undefined' ||\n          typeof window.localStorage === 'undefined') {\n      // TODO(cais): Add more info about what IOHandler subtypes are\n      // available.\n      //   Maybe point to a doc page on the web and/or automatically determine\n      //   the available IOHandlers and print them in the error message.\n      throw new Error(\n          'The current environment does not support local storage.');\n    }\n    this.LS = window.localStorage;\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For local storage, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n    this.keys = getModelKeys(this.modelPath);\n  }\n\n  /**\n   * Save model artifacts to browser local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @param modelArtifacts The model artifacts to be stored.\n   * @returns An instance of SaveResult.\n   */\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const topology = JSON.stringify(modelArtifacts.modelTopology);\n      const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);\n\n      const modelArtifactsInfo: ModelArtifactsInfo =\n          getModelArtifactsInfoForJSON(modelArtifacts);\n\n      try {\n        this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));\n        this.LS.setItem(this.keys.topology, topology);\n        this.LS.setItem(this.keys.weightSpecs, weightSpecs);\n        this.LS.setItem(\n            this.keys.weightData,\n            arrayBufferToBase64String(modelArtifacts.weightData));\n        this.LS.setItem(this.keys.modelMetadata, JSON.stringify({\n          format: modelArtifacts.format,\n          generatedBy: modelArtifacts.generatedBy,\n          convertedBy: modelArtifacts.convertedBy,\n          userDefinedMetadata: modelArtifacts.userDefinedMetadata\n        }));\n\n        return {modelArtifactsInfo};\n      } catch (err) {\n        // If saving failed, clean up all items saved so far.\n        this.LS.removeItem(this.keys.info);\n        this.LS.removeItem(this.keys.topology);\n        this.LS.removeItem(this.keys.weightSpecs);\n        this.LS.removeItem(this.keys.weightData);\n        this.LS.removeItem(this.keys.modelMetadata);\n\n        throw new Error(\n            `Failed to save model '${this.modelPath}' to local storage: ` +\n            `size quota being exceeded is a possible cause of this failure: ` +\n            `modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, ` +\n            `weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, ` +\n            `weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`);\n      }\n    }\n  }\n\n  /**\n   * Load a model from local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const info =\n        JSON.parse(this.LS.getItem(this.keys.info)) as ModelArtifactsInfo;\n    if (info == null) {\n      throw new Error(\n          `In local storage, there is no model with name '${this.modelPath}'`);\n    }\n\n    if (info.modelTopologyType !== 'JSON') {\n      throw new Error(\n          'BrowserLocalStorage does not support loading non-JSON model ' +\n          'topology yet.');\n    }\n\n    const out: ModelArtifacts = {};\n\n    // Load topology.\n    const topology = JSON.parse(this.LS.getItem(this.keys.topology));\n    if (topology == null) {\n      throw new Error(\n          `In local storage, the topology of model '${this.modelPath}' ` +\n          `is missing.`);\n    }\n    out.modelTopology = topology;\n\n    // Load weight specs.\n    const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));\n    if (weightSpecs == null) {\n      throw new Error(\n          `In local storage, the weight specs of model '${this.modelPath}' ` +\n          `are missing.`);\n    }\n    out.weightSpecs = weightSpecs;\n\n    // Load meta-data fields.\n    const metadataString = this.LS.getItem(this.keys.modelMetadata);\n    if (metadataString != null) {\n      const metadata = JSON.parse(metadataString) as ModelArtifacts;\n      out.format = metadata['format'];\n      out.generatedBy = metadata['generatedBy'];\n      out.convertedBy = metadata['convertedBy'];\n      out.userDefinedMetadata = metadata['userDefinedMetadata'];\n    }\n\n    // Load weight data.\n    const weightDataBase64 = this.LS.getItem(this.keys.weightData);\n    if (weightDataBase64 == null) {\n      throw new Error(\n          `In local storage, the binary weight values of model ` +\n          `'${this.modelPath}' are missing.`);\n    }\n    out.weightData = base64StringToArrayBuffer(weightDataBase64);\n\n    return out;\n  }\n}\n\nexport const localStorageRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserLocalStorage.URL_SCHEME)) {\n      return browserLocalStorage(\n          url.slice(BrowserLocalStorage.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(localStorageRouter);\nIORouterRegistry.registerLoadRouter(localStorageRouter);\n\n/**\n * Factory function for local storage IOHandler.\n *\n * This `IOHandler` supports both `save` and `load`.\n *\n * For each model's saved artifacts, four items are saved to local storage.\n *   - `${PATH_SEPARATOR}/${modelPath}/info`: Contains meta-info about the\n *     model, such as date saved, type of the topology, size in bytes, etc.\n *   - `${PATH_SEPARATOR}/${modelPath}/topology`: Model topology. For Keras-\n *     style models, this is a stringized JSON.\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_specs`: Weight specs of the\n *     model, can be used to decode the saved binary weight values (see\n *     item below).\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_data`: Concatenated binary\n *     weight values, stored as a base64-encoded string.\n *\n * Saving may throw an `Error` if the total size of the artifacts exceed the\n * browser-specific quota.\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `IOHandler`, which can be used with, e.g.,\n *   `tf.Model.save`.\n */\nexport function browserLocalStorage(modelPath: string): IOHandler {\n  return new BrowserLocalStorage(modelPath);\n}\n\nexport class BrowserLocalStorageManager implements ModelStoreManager {\n  private readonly LS: Storage;\n\n  constructor() {\n    assert(\n        env().getBool('IS_BROWSER'),\n        () => 'Current environment is not a web browser');\n    assert(\n        typeof window === 'undefined' ||\n        typeof window.localStorage !== 'undefined',\n        () => 'Current browser does not appear to support localStorage');\n    this.LS = window.localStorage;\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    const out: {[path: string]: ModelArtifactsInfo} = {};\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    const suffix = PATH_SEPARATOR + INFO_SUFFIX;\n    for (let i = 0; i < this.LS.length; ++i) {\n      const key = this.LS.key(i);\n      if (key.startsWith(prefix) && key.endsWith(suffix)) {\n        const modelPath = getModelPathFromKey(key);\n        out[modelPath] = JSON.parse(this.LS.getItem(key)) as ModelArtifactsInfo;\n      }\n    }\n    return out;\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    const keys = getModelKeys(path);\n    if (this.LS.getItem(keys.info) == null) {\n      throw new Error(`Cannot find model at path '${path}'`);\n    }\n    const info = JSON.parse(this.LS.getItem(keys.info)) as ModelArtifactsInfo;\n\n    this.LS.removeItem(keys.info);\n    this.LS.removeItem(keys.topology);\n    this.LS.removeItem(keys.weightSpecs);\n    this.LS.removeItem(keys.weightData);\n    return info;\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers related to files, such as browser-triggered file downloads,\n * user-selected files in browser.\n */\n\nimport {env} from '../environment';\n\nimport {basename, concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelJSON, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\nconst DEFAULT_FILE_NAME_PREFIX = 'model';\nconst DEFAULT_JSON_EXTENSION_NAME = '.json';\nconst DEFAULT_WEIGHT_DATA_EXTENSION_NAME = '.weights.bin';\n\nfunction defer<T>(f: () => T): Promise<T> {\n  return new Promise(resolve => setTimeout(resolve)).then(f);\n}\n\nexport class BrowserDownloads implements IOHandler {\n  private readonly modelTopologyFileName: string;\n  private readonly weightDataFileName: string;\n  private readonly jsonAnchor: HTMLAnchorElement;\n  private readonly weightDataAnchor: HTMLAnchorElement;\n\n  static readonly URL_SCHEME = 'downloads://';\n\n  constructor(fileNamePrefix?: string) {\n    if (!env().getBool('IS_BROWSER')) {\n      // TODO(cais): Provide info on what IOHandlers are available under the\n      //   current environment.\n      throw new Error(\n          'browserDownloads() cannot proceed because the current environment ' +\n          'is not a browser.');\n    }\n\n    if (fileNamePrefix.startsWith(BrowserDownloads.URL_SCHEME)) {\n      fileNamePrefix = fileNamePrefix.slice(BrowserDownloads.URL_SCHEME.length);\n    }\n    if (fileNamePrefix == null || fileNamePrefix.length === 0) {\n      fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;\n    }\n\n    this.modelTopologyFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;\n    this.weightDataFileName =\n        fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (typeof (document) === 'undefined') {\n      throw new Error(\n          'Browser downloads are not supported in ' +\n          'this environment since `document` is not present');\n    }\n    const weightsURL = window.URL.createObjectURL(new Blob(\n        [modelArtifacts.weightData], {type: 'application/octet-stream'}));\n\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserDownloads.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const weightsManifest: WeightsManifestConfig = [{\n        paths: ['./' + this.weightDataFileName],\n        weights: modelArtifacts.weightSpecs\n      }];\n      const modelTopologyAndWeightManifest: ModelJSON = {\n        modelTopology: modelArtifacts.modelTopology,\n        format: modelArtifacts.format,\n        generatedBy: modelArtifacts.generatedBy,\n        convertedBy: modelArtifacts.convertedBy,\n        weightsManifest\n      };\n      const modelTopologyAndWeightManifestURL =\n          window.URL.createObjectURL(new Blob(\n              [JSON.stringify(modelTopologyAndWeightManifest)],\n              {type: 'application/json'}));\n\n      // If anchor elements are not provided, create them without attaching them\n      // to parents, so that the downloaded file names can be controlled.\n      const jsonAnchor = this.jsonAnchor == null ? document.createElement('a') :\n                                                   this.jsonAnchor;\n      jsonAnchor.download = this.modelTopologyFileName;\n      jsonAnchor.href = modelTopologyAndWeightManifestURL;\n      // Trigger downloads by evoking a click event on the download anchors.\n      // When multiple downloads are started synchronously, Firefox will only\n      // save the last one.\n      await defer(() => jsonAnchor.dispatchEvent(new MouseEvent('click')));\n\n      if (modelArtifacts.weightData != null) {\n        const weightDataAnchor = this.weightDataAnchor == null ?\n            document.createElement('a') :\n            this.weightDataAnchor;\n        weightDataAnchor.download = this.weightDataFileName;\n        weightDataAnchor.href = weightsURL;\n        await defer(\n            () => weightDataAnchor.dispatchEvent(new MouseEvent('click')));\n      }\n\n      return {modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts)};\n    }\n  }\n}\n\nclass BrowserFiles implements IOHandler {\n  private readonly files: File[];\n\n  constructor(files: File[]) {\n    if (files == null || files.length < 1) {\n      throw new Error(\n          `When calling browserFiles, at least 1 file is required, ` +\n          `but received ${files}`);\n    }\n    this.files = files;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    const jsonFile = this.files[0];\n    const weightFiles = this.files.slice(1);\n\n    return new Promise<ModelArtifacts>((resolve, reject) => {\n      const jsonReader = new FileReader();\n      jsonReader.onload = (event: Event) => {\n        // tslint:disable-next-line:no-any\n        const modelJSON = JSON.parse((event.target as any).result) as ModelJSON;\n        const modelTopology = modelJSON.modelTopology;\n        if (modelTopology == null) {\n          reject(new Error(\n              `modelTopology field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        if (weightFiles.length === 0) {\n          resolve({modelTopology});\n        }\n\n        const weightsManifest = modelJSON.weightsManifest;\n        if (weightsManifest == null) {\n          reject(new Error(\n              `weightManifest field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        let pathToFile: {[path: string]: File};\n        try {\n          pathToFile =\n              this.checkManifestAndWeightFiles(weightsManifest, weightFiles);\n        } catch (err) {\n          reject(err);\n          return;\n        }\n\n        const weightSpecs: WeightsManifestEntry[] = [];\n        const paths: string[] = [];\n        const perFileBuffers: ArrayBuffer[] = [];\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            paths.push(path);\n            perFileBuffers.push(null);\n          });\n          weightSpecs.push(...weightsGroup.weights);\n        });\n\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            const weightFileReader = new FileReader();\n            weightFileReader.onload = (event: Event) => {\n              // tslint:disable-next-line:no-any\n              const weightData = (event.target as any).result as ArrayBuffer;\n              const index = paths.indexOf(path);\n              perFileBuffers[index] = weightData;\n              if (perFileBuffers.indexOf(null) === -1) {\n                resolve({\n                  modelTopology,\n                  weightSpecs,\n                  weightData: concatenateArrayBuffers(perFileBuffers),\n                  format: modelJSON.format,\n                  generatedBy: modelJSON.generatedBy,\n                  convertedBy: modelJSON.convertedBy,\n                  userDefinedMetadata: modelJSON.userDefinedMetadata\n                });\n              }\n            };\n            weightFileReader.onerror = error =>\n                reject(`Failed to weights data from file of path '${path}'.`);\n            weightFileReader.readAsArrayBuffer(pathToFile[path]);\n          });\n        });\n      };\n      jsonReader.onerror = error => reject(\n          `Failed to read model topology and weights manifest JSON ` +\n          `from file '${jsonFile.name}'. BrowserFiles supports loading ` +\n          `Keras-style tf.Model artifacts only.`);\n      jsonReader.readAsText(jsonFile);\n    });\n  }\n\n  /**\n   * Check the compatibility between weights manifest and weight files.\n   */\n  private checkManifestAndWeightFiles(\n      manifest: WeightsManifestConfig, files: File[]): {[path: string]: File} {\n    const basenames: string[] = [];\n    const fileNames = files.map(file => basename(file.name));\n    const pathToFile: {[path: string]: File} = {};\n    for (const group of manifest) {\n      group.paths.forEach(path => {\n        const pathBasename = basename(path);\n        if (basenames.indexOf(pathBasename) !== -1) {\n          throw new Error(\n              `Duplicate file basename found in weights manifest: ` +\n              `'${pathBasename}'`);\n        }\n        basenames.push(pathBasename);\n        if (fileNames.indexOf(pathBasename) === -1) {\n          throw new Error(\n              `Weight file with basename '${pathBasename}' is not provided.`);\n        } else {\n          pathToFile[path] = files[fileNames.indexOf(pathBasename)];\n        }\n      });\n    }\n\n    if (basenames.length !== files.length) {\n      throw new Error(\n          `Mismatch in the number of files in weights manifest ` +\n          `(${basenames.length}) and the number of weight files provided ` +\n          `(${files.length}).`);\n    }\n    return pathToFile;\n  }\n}\n\nexport const browserDownloadsRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserDownloads.URL_SCHEME)) {\n      return browserDownloads(url.slice(BrowserDownloads.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(browserDownloadsRouter);\n\n/**\n * Creates an IOHandler that triggers file downloads from the browser.\n *\n * The returned `IOHandler` instance can be used as model exporting methods such\n * as `tf.Model.save` and supports only saving.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * const saveResult = await model.save('downloads://mymodel');\n * // This will trigger downloading of two files:\n * //   'mymodel.json' and 'mymodel.weights.bin'.\n * console.log(saveResult);\n * ```\n *\n * @param fileNamePrefix Prefix name of the files to be downloaded. For use with\n *   `tf.Model`, `fileNamePrefix` should follow either of the following two\n *   formats:\n *   1. `null` or `undefined`, in which case the default file\n *      names will be used:\n *      - 'model.json' for the JSON file containing the model topology and\n *        weights manifest.\n *      - 'model.weights.bin' for the binary file containing the binary weight\n *        values.\n *   2. A single string or an Array of a single string, as the file name prefix.\n *      For example, if `'foo'` is provided, the downloaded JSON\n *      file and binary weights file will be named 'foo.json' and\n *      'foo.weights.bin', respectively.\n * @param config Additional configuration for triggering downloads.\n * @returns An instance of `BrowserDownloads` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserDownloads(fileNamePrefix = 'model'): IOHandler {\n  return new BrowserDownloads(fileNamePrefix);\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from user-selected files.\n *\n * This method can be used for loading from files such as user-selected files\n * in the browser.\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * // Note: This code snippet won't run properly without the actual file input\n * //   elements in the HTML DOM.\n *\n * // Suppose there are two HTML file input (`<input type=\"file\" ...>`)\n * // elements.\n * const uploadJSONInput = document.getElementById('upload-json');\n * const uploadWeightsInput = document.getElementById('upload-weights');\n * const model = await tf.loadLayersModel(tf.io.browserFiles(\n *     [uploadJSONInput.files[0], uploadWeightsInput.files[0]]));\n * ```\n *\n * @param files `File`s to load from. Currently, this function supports only\n *   loading from files that contain Keras-style models (i.e., `tf.Model`s), for\n *   which an `Array` of `File`s is expected (in that order):\n *   - A JSON file containing the model topology and weight manifest.\n *   - Optionally, One or more binary files containing the binary weights.\n *     These files must have names that match the paths in the `weightsManifest`\n *     contained by the aforementioned JSON file, or errors will be thrown\n *     during loading. These weights files have the same format as the ones\n *     generated by `tensorflowjs_converter` that comes with the `tensorflowjs`\n *     Python PIP package. If no weights files are provided, only the model\n *     topology will be loaded from the JSON file above.\n * @returns An instance of `Files` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserFiles(files: File[]): IOHandler {\n  return new BrowserFiles(files);\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../util';\n\nimport {OnProgressCallback} from './types';\n\n/**\n * Monitor Promise.all progress, fire onProgress callback function.\n *\n * @param promises Promise list going to be monitored\n * @param onProgress Callback function. Fired when a promise resolved.\n * @param startFraction Optional fraction start. Default to 0.\n * @param endFraction Optional fraction end. Default to 1.\n */\nexport function monitorPromisesProgress(\n    promises: Array<Promise<{}|void>>, onProgress: OnProgressCallback,\n    startFraction?: number, endFraction?: number) {\n  checkPromises(promises);\n  startFraction = startFraction == null ? 0 : startFraction;\n  endFraction = endFraction == null ? 1 : endFraction;\n  checkFraction(startFraction, endFraction);\n  let resolvedPromise = 0;\n\n  const registerMonitor = (promise: Promise<{}>) => {\n    promise.then(value => {\n      const fraction = startFraction +\n          ++resolvedPromise / promises.length * (endFraction - startFraction);\n      // pass fraction as parameter to callback function.\n      onProgress(fraction);\n      return value;\n    });\n    return promise;\n  };\n\n  function checkPromises(promises: Array<Promise<{}|void>>): void {\n    assert(\n        promises != null && Array.isArray(promises) && promises.length > 0,\n        () => 'promises must be a none empty array');\n  }\n\n  function checkFraction(startFraction: number, endFraction: number): void {\n    assert(\n        startFraction >= 0 && startFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got startFraction ${startFraction}`);\n    assert(\n        endFraction >= 0 && endFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got endFraction ${endFraction}`);\n    assert(\n        endFraction >= startFraction,\n        () => `startFraction must be no more than endFraction, but ` +\n            `got startFraction ${startFraction} and endFraction ` +\n            `${endFraction}`);\n  }\n\n  return Promise.all(promises.map(registerMonitor));\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {NamedTensorMap} from '../tensor_types';\nimport * as util from '../util';\nimport {decodeWeights} from './io_utils';\nimport {monitorPromisesProgress} from './progress';\nimport {DTYPE_VALUE_SIZE_MAP, LoadOptions, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\n/**\n * Reads binary weights data from a number of URLs.\n *\n * @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.\n * @param requestOptions RequestInit (options) for the HTTP requests.\n * @param fetchFunc Optional overriding value for the `window.fetch` function.\n * @param onProgress Optional, progress callback function, fired periodically\n *   before the load is completed.\n * @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same\n *   length as `fetchURLs`.\n */\nexport async function loadWeightsAsArrayBuffer(\n    fetchURLs: string[], loadOptions?: LoadOptions): Promise<ArrayBuffer[]> {\n  if (loadOptions == null) {\n    loadOptions = {};\n  }\n\n  const fetchFunc = loadOptions.fetchFunc == null ? env().platform.fetch :\n                                                    loadOptions.fetchFunc;\n\n  // Create the requests for all of the weights in parallel.\n  const requests = fetchURLs.map(\n      fetchURL =>\n          fetchFunc(fetchURL, loadOptions.requestInit, {isBinary: true}));\n\n  const fetchStartFraction = 0;\n  const fetchEndFraction = 0.5;\n\n  const responses = loadOptions.onProgress == null ?\n      await Promise.all(requests) :\n      await monitorPromisesProgress(\n          requests, loadOptions.onProgress, fetchStartFraction,\n          fetchEndFraction);\n\n  const bufferPromises = responses.map(response => response.arrayBuffer());\n\n  const bufferStartFraction = 0.5;\n  const bufferEndFraction = 1;\n\n  const buffers = loadOptions.onProgress == null ?\n      await Promise.all(bufferPromises) :\n      await monitorPromisesProgress(\n          bufferPromises, loadOptions.onProgress, bufferStartFraction,\n          bufferEndFraction);\n  return buffers;\n}\n\n/**\n * Reads a weights manifest JSON configuration, fetches the weights and\n * returns them as `Tensor`s.\n *\n * @param manifest The weights manifest JSON.\n * @param filePathPrefix The path prefix for filenames given in the manifest.\n *     Defaults to the empty string.\n * @param weightNames The names of the weights to be fetched.\n */\nexport async function loadWeights(\n    manifest: WeightsManifestConfig, filePathPrefix = '',\n    weightNames?: string[],\n    requestInit?: RequestInit): Promise<NamedTensorMap> {\n  // TODO(nsthorat): Groups are currently fetched atomically. If you need a\n  // single weight from a group, the whole group will be fetched. At a future\n  // date, we should support fetching only the individual shards within a\n  // group that are needed to reconstruct the requested weight.\n  // TODO(cais): Use `decodeWeights` for implementation.\n\n  const fetchWeights = (fetchUrls: string[]) =>\n      loadWeightsAsArrayBuffer(fetchUrls, {requestInit});\n  const loadWeights = weightsLoaderFactory(fetchWeights);\n\n  return loadWeights(manifest, filePathPrefix, weightNames);\n}\n\n/**\n * Creates a function, which reads a weights manifest JSON configuration,\n * fetches the weight files using the specified function and returns them as\n * `Tensor`s.\n *\n * ```js\n * // example for creating a nodejs weight loader, which reads the weight files\n * // from disk using fs.readFileSync\n *\n * import * as fs from 'fs'\n *\n * const fetchWeightsFromDisk = (filePaths: string[]) =>\n *   filePaths.map(filePath => fs.readFileSync(filePath).buffer)\n *\n * const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)\n *\n * const manifest = JSON.parse(\n *   fs.readFileSync('./my_model-weights_manifest').toString()\n * )\n * const weightMap = await loadWeights(manifest, './')\n * ```\n * @param fetchWeightsFunction The function used for fetching the weight files.\n * @returns Weight loading function.\n */\nexport function weightsLoaderFactory(\n    fetchWeightsFunction: (fetchUrls: string[]) => Promise<ArrayBuffer[]>):\n    (manifest: WeightsManifestConfig, filePathPrefix?: string,\n     weightNames?: string[]) => Promise<NamedTensorMap> {\n  return async(\n             manifest: WeightsManifestConfig, filePathPrefix = '',\n             weightNames?: string[]): Promise<NamedTensorMap> => {\n    // Collect all the groups, weights, and their relative offsets to be\n    // fetched.\n    const groupIndicesToFetchMap = manifest.map(() => false);\n    const groupWeightsToFetch: {\n      [group: number]: Array<{\n        manifestEntry: WeightsManifestEntry; groupOffset: number;\n        sizeBytes: number;\n      }>\n    } = {};\n    const weightsFound =\n        weightNames != null ? weightNames.map(() => false) : [];\n    const allManifestWeightNames: string[] = [];\n    manifest.forEach((manifestGroupConfig, groupIndex) => {\n      let groupOffset = 0;\n      manifestGroupConfig.weights.forEach(weightsEntry => {\n        const rawDtype = ('quantization' in weightsEntry) ?\n            weightsEntry.quantization.dtype :\n            weightsEntry.dtype;\n\n        const weightsBytes = DTYPE_VALUE_SIZE_MAP[rawDtype] *\n            util.sizeFromShape(weightsEntry.shape);\n\n        const enqueueWeightsForFetchingFn = () => {\n          groupIndicesToFetchMap[groupIndex] = true;\n          if (groupWeightsToFetch[groupIndex] == null) {\n            groupWeightsToFetch[groupIndex] = [];\n          }\n\n          groupWeightsToFetch[groupIndex].push({\n            manifestEntry: weightsEntry,\n            groupOffset,\n            sizeBytes: weightsBytes\n          });\n        };\n\n        if (weightNames != null) {\n          weightNames.forEach((weightName, weightIndex) => {\n            if (weightName === weightsEntry.name) {\n              enqueueWeightsForFetchingFn();\n              weightsFound[weightIndex] = true;\n            }\n          });\n        } else {\n          enqueueWeightsForFetchingFn();\n        }\n\n        allManifestWeightNames.push(weightsEntry.name);\n        groupOffset += weightsBytes;\n      });\n    });\n\n    if (!weightsFound.every(found => found)) {\n      const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);\n      throw new Error(\n          `Could not find weights in manifest with names: ` +\n          `${weightsNotFound.join(', ')}. \\n` +\n          `Manifest JSON has weights with names: ` +\n          `${allManifestWeightNames.join(', ')}.`);\n    }\n\n    // Convert the one-hot boolean groupId => shouldFetch map to a list of group\n    // IDs.\n    const groupIndicesToFetch =\n        groupIndicesToFetchMap.reduce((accumulator, shouldFetch, i) => {\n          if (shouldFetch) {\n            accumulator.push(i);\n          }\n          return accumulator;\n        }, []);\n\n    const fetchUrls: string[] = [];\n    groupIndicesToFetch.forEach(i => {\n      manifest[i].paths.forEach(filepath => {\n        const fetchUrl = filePathPrefix +\n            (!filePathPrefix.endsWith('/') ? '/' : '') + filepath;\n        fetchUrls.push(fetchUrl);\n      });\n    });\n    const buffers = await fetchWeightsFunction(fetchUrls);\n\n    const weightsTensorMap: NamedTensorMap = {};\n    let bufferIndexOffset = 0;\n    groupIndicesToFetch.forEach(i => {\n      const numBuffers = manifest[i].paths.length;\n\n      let groupBytes = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        groupBytes += buffers[bufferIndexOffset + i].byteLength;\n      }\n\n      // Create a buffer for the whole group.\n      const groupBuffer = new ArrayBuffer(groupBytes);\n      const groupByteBuffer = new Uint8Array(groupBuffer);\n      let groupBufferOffset = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        const buffer = new Uint8Array(buffers[bufferIndexOffset + i]);\n        groupByteBuffer.set(buffer, groupBufferOffset);\n        groupBufferOffset += buffer.byteLength;\n      }\n\n      const weightsEntries = groupWeightsToFetch[i];\n      weightsEntries.forEach(weightsEntry => {\n        const byteBuffer = groupBuffer.slice(\n            weightsEntry.groupOffset,\n            weightsEntry.groupOffset + weightsEntry.sizeBytes);\n        const nameToTensorMap =\n            decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);\n        for (const name in nameToTensorMap) {\n          weightsTensorMap[name] = nameToTensorMap[name];\n        }\n      });\n\n      bufferIndexOffset += numBuffers;\n    });\n\n    return weightsTensorMap;\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandler implementations based on HTTP requests in the web browser.\n *\n * Uses [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, LoadOptions, ModelArtifacts, ModelJSON, OnProgressCallback, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\nimport {loadWeightsAsArrayBuffer} from './weights_loader';\n\nconst OCTET_STREAM_MIME_TYPE = 'application/octet-stream';\nconst JSON_TYPE = 'application/json';\nexport class HTTPRequest implements IOHandler {\n  protected readonly path: string;\n  protected readonly requestInit: RequestInit;\n\n  private readonly fetch: Function;\n\n  readonly DEFAULT_METHOD = 'POST';\n\n  static readonly URL_SCHEME_REGEX = /^https?:\\/\\//;\n\n  private readonly weightPathPrefix: string;\n  private readonly onProgress: OnProgressCallback;\n\n  constructor(path: string, loadOptions?: LoadOptions) {\n    if (loadOptions == null) {\n      loadOptions = {};\n    }\n    this.weightPathPrefix = loadOptions.weightPathPrefix;\n    this.onProgress = loadOptions.onProgress;\n\n    if (loadOptions.fetchFunc != null) {\n      assert(\n          typeof loadOptions.fetchFunc === 'function',\n          () => 'Must pass a function that matches the signature of ' +\n              '`fetch` (see ' +\n              'https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)');\n      this.fetch = loadOptions.fetchFunc;\n    } else {\n      this.fetch = env().platform.fetch;\n    }\n\n    assert(\n        path != null && path.length > 0,\n        () => 'URL path for http must not be null, undefined or ' +\n            'empty.');\n\n    if (Array.isArray(path)) {\n      assert(\n          path.length === 2,\n          () => 'URL paths for http must have a length of 2, ' +\n              `(actual length is ${path.length}).`);\n    }\n    this.path = path;\n\n    if (loadOptions.requestInit != null &&\n        loadOptions.requestInit.body != null) {\n      throw new Error(\n          'requestInit is expected to have no pre-existing body, but has one.');\n    }\n    this.requestInit = loadOptions.requestInit || {};\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserHTTPRequest.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    const init = Object.assign({method: this.DEFAULT_METHOD}, this.requestInit);\n    init.body = new FormData();\n\n    const weightsManifest: WeightsManifestConfig = [{\n      paths: ['./model.weights.bin'],\n      weights: modelArtifacts.weightSpecs,\n    }];\n    const modelTopologyAndWeightManifest: ModelJSON = {\n      modelTopology: modelArtifacts.modelTopology,\n      format: modelArtifacts.format,\n      generatedBy: modelArtifacts.generatedBy,\n      convertedBy: modelArtifacts.convertedBy,\n      userDefinedMetadata: modelArtifacts.userDefinedMetadata,\n      weightsManifest\n    };\n\n    init.body.append(\n        'model.json',\n        new Blob(\n            [JSON.stringify(modelTopologyAndWeightManifest)],\n            {type: JSON_TYPE}),\n        'model.json');\n\n    if (modelArtifacts.weightData != null) {\n      init.body.append(\n          'model.weights.bin',\n          new Blob([modelArtifacts.weightData], {type: OCTET_STREAM_MIME_TYPE}),\n          'model.weights.bin');\n    }\n\n    const response = await this.fetch(this.path, init);\n\n    if (response.ok) {\n      return {\n        modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts),\n        responses: [response],\n      };\n    } else {\n      throw new Error(\n          `BrowserHTTPRequest.save() failed due to HTTP response status ` +\n          `${response.status}.`);\n    }\n  }\n\n  /**\n   * Load model artifacts via HTTP request(s).\n   *\n   * See the documentation to `tf.io.http` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model artifacts (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const modelConfigRequest = await this.fetch(this.path, this.requestInit);\n\n    if (!modelConfigRequest.ok) {\n      throw new Error(\n          `Request to ${this.path} failed with status code ` +\n          `${modelConfigRequest.status}. Please verify this URL points to ` +\n          `the model JSON of the model to load.`);\n    }\n    let modelConfig: ModelJSON;\n    try {\n      modelConfig = await modelConfigRequest.json();\n    } catch (e) {\n      let message = `Failed to parse model JSON of response from ${this.path}.`;\n      // TODO(nsthorat): Remove this after some time when we're comfortable that\n      // .pb files are mostly gone.\n      if (this.path.endsWith('.pb')) {\n        message += ' Your path contains a .pb file extension. ' +\n            'Support for .pb models have been removed in TensorFlow.js 1.0 ' +\n            'in favor of .json models. You can re-convert your Python ' +\n            'TensorFlow model using the TensorFlow.js 1.0 conversion scripts ' +\n            'or you can convert your.pb models with the \\'pb2json\\'' +\n            'NPM script in the tensorflow/tfjs-converter repository.';\n      } else {\n        message += ' Please make sure the server is serving valid ' +\n            'JSON for this request.';\n      }\n      throw new Error(message);\n    }\n    const modelTopology = modelConfig.modelTopology;\n    const weightsManifest = modelConfig.weightsManifest;\n    const generatedBy = modelConfig.generatedBy;\n    const convertedBy = modelConfig.convertedBy;\n    const format = modelConfig.format;\n    const userDefinedMetadata = modelConfig.userDefinedMetadata;\n\n    // We do not allow both modelTopology and weightsManifest to be missing.\n    if (modelTopology == null && weightsManifest == null) {\n      throw new Error(\n          `The JSON from HTTP path ${this.path} contains neither model ` +\n          `topology or manifest for weights.`);\n    }\n\n    let weightSpecs: WeightsManifestEntry[];\n    let weightData: ArrayBuffer;\n    if (weightsManifest != null) {\n      const results = await this.loadWeights(weightsManifest);\n      [weightSpecs, weightData] = results;\n    }\n\n    return {\n      modelTopology,\n      weightSpecs,\n      weightData,\n      userDefinedMetadata,\n      generatedBy,\n      convertedBy,\n      format\n    };\n  }\n\n  private async loadWeights(weightsManifest: WeightsManifestConfig):\n      Promise<[WeightsManifestEntry[], ArrayBuffer]> {\n    const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;\n    const [prefix, suffix] = parseUrl(weightPath);\n    const pathPrefix = this.weightPathPrefix || prefix;\n\n    const weightSpecs = [];\n    for (const entry of weightsManifest) {\n      weightSpecs.push(...entry.weights);\n    }\n\n    const fetchURLs: string[] = [];\n    weightsManifest.forEach(weightsGroup => {\n      weightsGroup.paths.forEach(path => {\n        fetchURLs.push(pathPrefix + path + suffix);\n      });\n    });\n    const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {\n      requestInit: this.requestInit,\n      fetchFunc: this.fetch,\n      onProgress: this.onProgress\n    });\n    return [weightSpecs, concatenateArrayBuffers(buffers)];\n  }\n}\n\n/**\n * Extract the prefix and suffix of the url, where the prefix is the path before\n * the last file, and suffix is the search params after the last file.\n * ```\n * const url = 'http://tfhub.dev/model/1/tensorflowjs_model.pb?tfjs-format=file'\n * [prefix, suffix] = parseUrl(url)\n * // prefix = 'http://tfhub.dev/model/1/'\n * // suffix = '?tfjs-format=file'\n * ```\n * @param url the model url to be parsed.\n */\nexport function parseUrl(url: string): [string, string] {\n  const lastSlash = url.lastIndexOf('/');\n  const lastSearchParam = url.lastIndexOf('?');\n  const prefix = url.substring(0, lastSlash);\n  const suffix =\n      lastSearchParam > lastSlash ? url.substring(lastSearchParam) : '';\n  return [prefix + '/', suffix];\n}\n\nexport function isHTTPScheme(url: string): boolean {\n  return url.match(HTTPRequest.URL_SCHEME_REGEX) != null;\n}\n\nexport const httpRouter: IORouter =\n    (url: string, onProgress?: OnProgressCallback) => {\n      if (typeof fetch === 'undefined') {\n        // `http` uses `fetch` or `node-fetch`, if one wants to use it in\n        // an environment that is not the browser or node they have to setup a\n        // global fetch polyfill.\n        return null;\n      } else {\n        let isHTTP = true;\n        if (Array.isArray(url)) {\n          isHTTP = url.every(urlItem => isHTTPScheme(urlItem));\n        } else {\n          isHTTP = isHTTPScheme(url);\n        }\n        if (isHTTP) {\n          return http(url, {onProgress});\n        }\n      }\n      return null;\n    };\nIORouterRegistry.registerSaveRouter(httpRouter);\nIORouterRegistry.registerLoadRouter(httpRouter);\n\n/**\n * Creates an IOHandler subtype that sends model artifacts to HTTP server.\n *\n * An HTTP request of the `multipart/form-data` mime type will be sent to the\n * `path` URL. The form data includes artifacts that represent the topology\n * and/or weights of the model. In the case of Keras-style `tf.Model`, two\n * blobs (files) exist in form-data:\n *   - A JSON file consisting of `modelTopology` and `weightsManifest`.\n *   - A binary weights file consisting of the concatenated weight values.\n * These files are in the same format as the one generated by\n * [tfjs_converter](https://js.tensorflow.org/tutorials/import-keras.html).\n *\n * The following code snippet exemplifies the client-side code that uses this\n * function:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save(tf.io.http(\n *     'http://model-server:5000/upload', {requestInit: {method: 'PUT'}}));\n * console.log(saveResult);\n * ```\n *\n * If the default `POST` method is to be used, without any custom parameters\n * such as headers, you can simply pass an HTTP or HTTPS URL to `model.save`:\n *\n * ```js\n * const saveResult = await model.save('http://model-server:5000/upload');\n * ```\n *\n * The following GitHub Gist\n * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864\n * implements a server based on [flask](https://github.com/pallets/flask) that\n * can receive the request. Upon receiving the model artifacts via the requst,\n * this particular server reconsistutes instances of [Keras\n * Models](https://keras.io/models/model/) in memory.\n *\n *\n * @param path A URL path to the model.\n *   Can be an absolute HTTP path (e.g.,\n *   'http://localhost:8000/model-upload)') or a relative path (e.g.,\n *   './model-upload').\n * @param requestInit Request configurations to be used when sending\n *    HTTP request to server using `fetch`. It can contain fields such as\n *    `method`, `credentials`, `headers`, `mode`, etc. See\n *    https://developer.mozilla.org/en-US/docs/Web/API/Request/Request\n *    for more information. `requestInit` must not have a body, because the\n * body will be set by TensorFlow.js. File blobs representing the model\n * topology (filename: 'model.json') and the weights of the model (filename:\n * 'model.weights.bin') will be appended to the body. If `requestInit` has a\n * `body`, an Error will be thrown.\n * @param loadOptions Optional configuration for the loading. It includes the\n *   following fields:\n *   - weightPathPrefix Optional, this specifies the path prefix for weight\n *     files, by default this is calculated from the path param.\n *   - fetchFunc Optional, custom `fetch` function. E.g., in Node.js,\n *     the `fetch` from node-fetch can be used here.\n *   - onProgress Optional, progress callback function, fired periodically\n *     before the load is completed.\n * @returns An instance of `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function http(path: string, loadOptions?: LoadOptions): IOHandler {\n  return new HTTPRequest(path, loadOptions);\n}\n\n/**\n * Deprecated. Use `tf.io.http`.\n * @param path\n * @param loadOptions\n */\nexport function browserHTTPRequest(\n    path: string, loadOptions?: LoadOptions): IOHandler {\n  return http(path, loadOptions);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers that pass through the in-memory ModelArtifacts format.\n */\n\nimport {IOHandler, ModelArtifacts, SaveResult, TrainingConfig, WeightsManifestEntry} from './types';\n\nclass PassthroughLoader implements IOHandler {\n  constructor(private readonly modelArtifacts?: ModelArtifacts) {}\n\n  async load(): Promise<ModelArtifacts> {\n    return this.modelArtifacts;\n  }\n}\n\nclass PassthroughSaver implements IOHandler {\n  constructor(\n      private readonly saveHandler:\n          (artifacts: ModelArtifacts) => Promise<SaveResult>) {}\n\n  async save(modelArtifacts: ModelArtifacts) {\n    return this.saveHandler(modelArtifacts);\n  }\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from memory.\n *\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * const model = await tf.loadLayersModel(tf.io.fromMemory(\n *     modelTopology, weightSpecs, weightData));\n * ```\n *\n * @param modelArtifacts a object containing model topology (i.e., parsed from\n *   the JSON format).\n * @param weightSpecs An array of `WeightsManifestEntry` objects describing the\n *   names, shapes, types, and quantization of the weight data.\n * @param weightData A single `ArrayBuffer` containing the weight data,\n *   concatenated in the order described by the weightSpecs.\n * @param trainingConfig Model training configuration. Optional.\n *\n * @returns A passthrough `IOHandler` that simply loads the provided data.\n */\nexport function fromMemory(\n    modelArtifacts: {}|ModelArtifacts, weightSpecs?: WeightsManifestEntry[],\n    weightData?: ArrayBuffer, trainingConfig?: TrainingConfig): IOHandler {\n  if (arguments.length === 1) {\n    const isModelArtifacts =\n        (modelArtifacts as ModelArtifacts).modelTopology != null ||\n        (modelArtifacts as ModelArtifacts).weightSpecs != null;\n    if (isModelArtifacts) {\n      return new PassthroughLoader(modelArtifacts as ModelArtifacts);\n    } else {\n      // Legacy support: with only modelTopology.\n      // TODO(cais): Remove this deprecated API.\n      console.warn(\n          'Please call tf.io.fromMemory() with only one argument. ' +\n          'The argument should be of type ModelArtifacts. ' +\n          'The multi-argument signature of tf.io.fromMemory() has been ' +\n          'deprecated and will be removed in a future release.');\n      return new PassthroughLoader({modelTopology: modelArtifacts as {}});\n    }\n  } else {\n    // Legacy support.\n    // TODO(cais): Remove this deprecated API.\n    console.warn(\n        'Please call tf.io.fromMemory() with only one argument. ' +\n        'The argument should be of type ModelArtifacts. ' +\n        'The multi-argument signature of tf.io.fromMemory() has been ' +\n        'deprecated and will be removed in a future release.');\n    return new PassthroughLoader({\n      modelTopology: modelArtifacts as {},\n      weightSpecs,\n      weightData,\n      trainingConfig\n    });\n  }\n}\n\n/**\n * Creates an IOHandler that passes saved model artifacts to a callback.\n *\n * ```js\n * function handleSave(artifacts) {\n *   // ... do something with the artifacts ...\n *   return {modelArtifactsInfo: {...}, ...};\n * }\n *\n * const saveResult = model.save(tf.io.withSaveHandler(handleSave));\n * ```\n *\n * @param saveHandler A function that accepts a `ModelArtifacts` and returns a\n *     `SaveResult`.\n */\nexport function withSaveHandler(\n    saveHandler: (artifacts: ModelArtifacts) =>\n        Promise<SaveResult>): IOHandler {\n  return new PassthroughSaver(saveHandler);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {oneHot} from './one_hot';\nimport {op} from './operation';\n\n/**\n * Computes the confusion matrix from true labels and predicted labels.\n *\n * ```js\n * const labels = tf.tensor1d([0, 1, 2, 1, 0], 'int32');\n * const predictions = tf.tensor1d([0, 2, 2, 1, 0], 'int32');\n * const numClasses = 3;\n * const out = tf.math.confusionMatrix(labels, predictions, numClasses);\n * out.print();\n * // Expected output matrix:\n * // [[2, 0, 0],\n * //  [0, 1, 1],\n * //  [0, 0, 1]]\n * ```\n *\n * @param labels The target labels, assumed to be 0-based integers\n *   for the classes. The shape is `[numExamples]`, where\n *   `numExamples` is the number of examples included.\n * @param predictions The predicted classes, assumed to be\n *   0-based integers for the classes. Must have the same shape as `labels`.\n * @param numClasses Number of all classes, as an integer.\n *   Its value must be larger than the largest element in `labels` and\n *   `predictions`.\n * @returns The confusion matrix as a int32-type 2D tensor. The value at\n *   row `r` and column `c` is the number of times examples of actual class\n *   `r` were predicted as class `c`.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nexport function confusionMatrix_(\n    labels: Tensor1D|TensorLike, predictions: Tensor1D|TensorLike,\n    numClasses: number): Tensor2D {\n  const $labels = convertToTensor(labels, 'labels', 'confusionMatrix');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'confusionMatrix');\n\n  util.assert(\n      numClasses == null || numClasses > 0 && Number.isInteger(numClasses),\n      () => `If provided, numClasses must be a positive integer, ` +\n          `but got ${numClasses}`);\n  util.assert(\n      $labels.rank === 1,\n      () => `Expected the rank of labels to be 1, but got ${$labels.rank}`);\n  util.assert(\n      $predictions.rank === 1,\n      () => `Expected the rank of predictions to be 1, ` +\n          `but got ${$predictions.rank}`);\n  util.assert(\n      $labels.shape[0] === $predictions.shape[0],\n      () => `Mismatch in the number of examples: ` +\n          `${$labels.shape[0]} vs. ${$predictions.shape[0]}. ` +\n          `Labels and predictions should have the same number of elements.`);\n  util.assert(\n      numClasses > 0 && Number.isInteger(numClasses),\n      () => `numClasses is required to be a positive integer, but got ` +\n          `${numClasses}`);\n  // TODO(cais): In the future, if oneHot supports tensors inputs for\n  //   `numClasses`, `confusionMatrix` can make `numClasses` optional.\n\n  const oneHotLabels = oneHot($labels.asType('int32'), numClasses) as Tensor2D;\n  const oneHotPredictions =\n      oneHot($predictions.asType('int32'), numClasses) as Tensor2D;\n  const oneHotLabelsT: Tensor2D = oneHotLabels.transpose();\n  return oneHotLabelsT.matMul(oneHotPredictions).asType('int32');\n}\n\nexport const confusionMatrix = op({confusionMatrix_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {getKernel} from '../kernel_registry';\nimport {Tensor, Tensor2D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {PixelData, TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {tensor3d} from './tensor_ops';\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\n/**\n * Creates a `tf.Tensor` from an image.\n *\n * ```js\n * const image = new ImageData(1, 1);\n * image.data[0] = 100;\n * image.data[1] = 150;\n * image.data[2] = 200;\n * image.data[3] = 255;\n *\n * tf.browser.fromPixels(image).print();\n * ```\n *\n * @param pixels The input image to construct the tensor from. The\n * supported image types are all 4-channel. You can also pass in an image\n * object with following attributes:\n * `{data: Uint8Array; width: number; height: number}`\n * @param numChannels The number of channels of the output tensor. A\n * numChannels value less than 4 allows you to ignore channels. Defaults to\n * 3 (ignores alpha channel of input image).\n */\n/** @doc {heading: 'Browser', namespace: 'browser', ignoreCI: true} */\nfunction fromPixels_(\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement,\n    numChannels = 3): Tensor3D {\n  // Sanity checks.\n  if (numChannels > 4) {\n    throw new Error(\n        'Cannot construct Tensor with more than 4 channels from pixels.');\n  }\n  if (pixels == null) {\n    throw new Error('pixels passed to tf.browser.fromPixels() can not be null');\n  }\n  let isPixelData = false;\n  let isImageData = false;\n  let isVideo = false;\n  let isImage = false;\n  let isCanvasLike = false;\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    isPixelData = true;\n  } else if (\n      typeof (ImageData) !== 'undefined' && pixels instanceof ImageData) {\n    isImageData = true;\n  } else if (\n      typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement) {\n    isVideo = true;\n  } else if (\n      typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement) {\n    isImage = true;\n    // tslint:disable-next-line: no-any\n  } else if ((pixels as any).getContext != null) {\n    isCanvasLike = true;\n  } else {\n    throw new Error(\n        'pixels passed to tf.browser.fromPixels() must be either an ' +\n        `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +\n        `in browser, or OffscreenCanvas, ImageData in webworker` +\n        ` or {data: Uint32Array, width: number, height: number}, ` +\n        `but was ${(pixels as {}).constructor.name}`);\n  }\n  if (isVideo) {\n    const HAVE_CURRENT_DATA_READY_STATE = 2;\n    if (isVideo &&\n        (pixels as HTMLVideoElement).readyState <\n            HAVE_CURRENT_DATA_READY_STATE) {\n      throw new Error(\n          'The video element has not loaded data yet. Please wait for ' +\n          '`loadeddata` event on the <video> element.');\n    }\n  }\n  // If the current backend has 'FromPixels' registered, it has a more\n  // efficient way of handling pixel uploads, so we call that.\n  const kernel = getKernel('FromPixels', ENGINE.backendName);\n  if (kernel != null) {\n    return ENGINE.runKernel('FromPixels', {pixels} as {}, {numChannels}) as\n        Tensor3D;\n  }\n\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n  let vals: Uint8ClampedArray|Uint8Array;\n\n  if (isCanvasLike) {\n    vals =\n        // tslint:disable-next-line:no-any\n        (pixels as any).getContext('2d').getImageData(0, 0, width, height).data;\n  } else if (isImageData || isPixelData) {\n    vals = (pixels as PixelData | ImageData).data;\n  } else if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement, 0, 0, width, height);\n    vals = fromPixels2DContext.getImageData(0, 0, width, height).data;\n  }\n  let values: Int32Array;\n  if (numChannels === 4) {\n    values = new Int32Array(vals);\n  } else {\n    const numPixels = width * height;\n    values = new Int32Array(numPixels * numChannels);\n    for (let i = 0; i < numPixels; i++) {\n      for (let channel = 0; channel < numChannels; ++channel) {\n        values[i * numChannels + channel] = vals[i * 4 + channel];\n      }\n    }\n  }\n  const outShape: [number, number, number] = [height, width, numChannels];\n  return tensor3d(values, outShape, 'int32');\n}\n\n/**\n * Draws a `tf.Tensor` of pixel values to a byte array or optionally a\n * canvas.\n *\n * When the dtype of the input is 'float32', we assume values in the range\n * [0-1]. Otherwise, when input is 'int32', we assume values in the range\n * [0-255].\n *\n * Returns a promise that resolves when the canvas has been drawn to.\n *\n * @param img A rank-2 or rank-3 tensor. If rank-2, draws grayscale. If\n *     rank-3, must have depth of 1, 3 or 4. When depth of 1, draws\n * grayscale. When depth of 3, we draw with the first three components of\n * the depth dimension corresponding to r, g, b and alpha = 1. When depth of\n * 4, all four components of the depth dimension correspond to r, g, b, a.\n * @param canvas The canvas to draw to.\n */\n/** @doc {heading: 'Browser', namespace: 'browser'} */\nexport async function toPixels(\n    img: Tensor2D|Tensor3D|TensorLike,\n    canvas?: HTMLCanvasElement): Promise<Uint8ClampedArray> {\n  let $img = convertToTensor(img, 'img', 'toPixels');\n  if (!(img instanceof Tensor)) {\n    // Assume int32 if user passed a native array.\n    $img = $img.toInt();\n  }\n  if ($img.rank !== 2 && $img.rank !== 3) {\n    throw new Error(\n        `toPixels only supports rank 2 or 3 tensors, got rank ${$img.rank}.`);\n  }\n  const [height, width] = $img.shape.slice(0, 2);\n  const depth = $img.rank === 2 ? 1 : $img.shape[2];\n\n  if (depth > 4 || depth === 2) {\n    throw new Error(\n        `toPixels only supports depth of size ` +\n        `1, 3 or 4 but got ${depth}`);\n  }\n\n  const data = await $img.data();\n  const minTensor = $img.min();\n  const maxTensor = $img.max();\n  const vals = await Promise.all([minTensor.data(), maxTensor.data()]);\n  const minVals = vals[0];\n  const maxVals = vals[1];\n  const min = minVals[0];\n  const max = maxVals[0];\n  minTensor.dispose();\n  maxTensor.dispose();\n  if ($img.dtype === 'float32') {\n    if (min < 0 || max > 1) {\n      throw new Error(\n          `Tensor values for a float32 Tensor must be in the ` +\n          `range [0 - 1] but got range [${min} - ${max}].`);\n    }\n  } else if ($img.dtype === 'int32') {\n    if (min < 0 || max > 255) {\n      throw new Error(\n          `Tensor values for a int32 Tensor must be in the ` +\n          `range [0 - 255] but got range [${min} - ${max}].`);\n    }\n  } else {\n    throw new Error(\n        `Unsupported type for toPixels: ${$img.dtype}.` +\n        ` Please use float32 or int32 tensors.`);\n  }\n  const multiplier = $img.dtype === 'float32' ? 255 : 1;\n  const bytes = new Uint8ClampedArray(width * height * 4);\n\n  for (let i = 0; i < height * width; ++i) {\n    let r, g, b, a;\n    if (depth === 1) {\n      r = data[i] * multiplier;\n      g = data[i] * multiplier;\n      b = data[i] * multiplier;\n      a = 255;\n    } else if (depth === 3) {\n      r = data[i * 3] * multiplier;\n      g = data[i * 3 + 1] * multiplier;\n      b = data[i * 3 + 2] * multiplier;\n      a = 255;\n    } else if (depth === 4) {\n      r = data[i * 4] * multiplier;\n      g = data[i * 4 + 1] * multiplier;\n      b = data[i * 4 + 2] * multiplier;\n      a = data[i * 4 + 3] * multiplier;\n    }\n\n    const j = i * 4;\n    bytes[j + 0] = Math.round(r);\n    bytes[j + 1] = Math.round(g);\n    bytes[j + 2] = Math.round(b);\n    bytes[j + 3] = Math.round(a);\n  }\n\n  if (canvas != null) {\n    canvas.width = width;\n    canvas.height = height;\n    const ctx = canvas.getContext('2d');\n    const imageData = new ImageData(bytes, width, height);\n    ctx.putImageData(imageData, 0, 0);\n  }\n  if ($img !== img) {\n    $img.dispose();\n  }\n  return bytes;\n}\n\nexport const fromPixels = op({fromPixels_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from './util';\n\n/**\n * Types to support JSON-esque data structures internally.\n *\n * Internally ConfigDict's use camelCase keys and values where the\n * values are class names to be instantiated.  On the python side, these\n * will be snake_case.  Internally we allow Enums into the values for better\n * type safety, but these need to be converted to raw primitives (usually\n * strings) for round-tripping with python.\n *\n * toConfig returns the TS-friendly representation. model.toJSON() returns\n * the pythonic version as that's the portable format.  If you need to\n * python-ify a non-model level toConfig output, you'll need to use a\n * convertTsToPythonic from serialization_utils in -Layers.\n *\n */\nexport declare type ConfigDictValue =\n    boolean | number | string | null | ConfigDictArray | ConfigDict;\nexport declare interface ConfigDict {\n  [key: string]: ConfigDictValue;\n}\nexport declare interface ConfigDictArray extends Array<ConfigDictValue> {}\n\n/**\n * Type to represent the class-type of Serializable objects.\n *\n * Ie the class prototype with access to the constructor and any\n * static members/methods. Instance methods are not listed here.\n *\n * Source for this idea: https://stackoverflow.com/a/43607255\n */\nexport declare type SerializableConstructor<T extends Serializable> = {\n  // tslint:disable-next-line:no-any\n  new (...args: any[]): T; className: string; fromConfig: FromConfigMethod<T>;\n};\nexport declare type FromConfigMethod<T extends Serializable> =\n    (cls: SerializableConstructor<T>, config: ConfigDict) => T;\n\n/**\n * Serializable defines the serialization contract.\n *\n * TFJS requires serializable classes to return their className when asked\n * to avoid issues with minification.\n */\nexport abstract class Serializable {\n  /**\n   * Return the class name for this class to use in serialization contexts.\n   *\n   * Generally speaking this will be the same thing that constructor.name\n   * would have returned.  However, the class name needs to be robust\n   * against minification for serialization/deserialization to work properly.\n   *\n   * There's also places such as initializers.VarianceScaling, where\n   * implementation details between different languages led to different\n   * class hierarchies and a non-leaf node is used for serialization purposes.\n   */\n  getClassName(): string {\n    return (this.constructor as SerializableConstructor<Serializable>)\n        .className;\n  }\n\n  /**\n   * Return all the non-weight state needed to serialize this object.\n   */\n  abstract getConfig(): ConfigDict;\n\n  /**\n   * Creates an instance of T from a ConfigDict.\n   *\n   * This works for most descendants of serializable.  A few need to\n   * provide special handling.\n   * @param cls A Constructor for the class to instantiate.\n   * @param config The Configuration for the object.\n   */\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config);\n  }\n}\n\n/**\n * Maps string keys to class constructors.\n *\n * Used during (de)serialization from the cross-language JSON format, which\n * requires the class name in the serialization format matches the class\n * names as used in Python, should it exist.\n */\nexport class SerializationMap {\n  private static instance: SerializationMap;\n  classNameMap: {\n    [className: string]:\n        [SerializableConstructor<Serializable>, FromConfigMethod<Serializable>]\n  };\n\n  private constructor() {\n    this.classNameMap = {};\n  }\n\n  /**\n   * Returns the singleton instance of the map.\n   */\n  static getMap(): SerializationMap {\n    if (SerializationMap.instance == null) {\n      SerializationMap.instance = new SerializationMap();\n    }\n    return SerializationMap.instance;\n  }\n\n  /**\n   * Registers the class as serializable.\n   */\n  static register<T extends Serializable>(cls: SerializableConstructor<T>) {\n    SerializationMap.getMap().classNameMap[cls.className] =\n        [cls, cls.fromConfig];\n  }\n}\n\n/**\n * Register a class with the serialization map of TensorFlow.js.\n *\n * This is often used for registering custom Layers, so they can be\n * serialized and deserialized.\n *\n * Example:\n *\n * ```js\n * class MyCustomLayer extends tf.layers.Layer {\n *   static className = 'MyCustomLayer';\n *\n *   constructor(config) {\n *     super(config);\n *   }\n * }\n * tf.serialization.registerClass(MyCustomLayer);\n * ```\n *\n * @param cls The class to be registered. It must have a public static member\n *   called `className` defined and the value must be a non-empty string.\n */\n/** @doc {heading: 'Models', subheading: 'Serialization', ignoreCI: true} */\nexport function registerClass<T extends Serializable>(\n    cls: SerializableConstructor<T>) {\n  assert(\n      cls.className != null,\n      () => `Class being registered does not have the static className ` +\n          `property defined.`);\n  assert(\n      typeof cls.className === 'string',\n      () => `className is required to be a string, but got type ` +\n          typeof cls.className);\n  assert(\n      cls.className.length > 0,\n      () => `Class being registered has an empty-string as its className, ` +\n          `which is disallowed.`);\n\n  SerializationMap.register(cls);\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.2';\nexport {version};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as gpgpu_util from './backends/webgl/gpgpu_util';\nimport * as webgl_util from './backends/webgl/webgl_util';\nimport {env} from './environment';\n\nexport {MathBackendWebGL, WebGLMemoryInfo, WebGLTimingInfo} from './backends/webgl/backend_webgl';\nexport {setWebGLContext} from './backends/webgl/canvas_util';\nexport {GPGPUContext} from './backends/webgl/gpgpu_context';\nexport {GPGPUProgram} from './backends/webgl/gpgpu_math';\n// WebGL specific utils.\nexport {gpgpu_util, webgl_util};\n\n/**\n * Enforce use of half precision textures if available on the platform.\n */\n/** @doc {heading: 'Environment', namespace: 'webgl'} */\nexport function forceHalfFloat(): void {\n  env().set('WEBGL_FORCE_F16_TEXTURES', true);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {dispose} from '../globals';\nimport {variableGrads} from '../gradients';\nimport {scalar} from '../ops/ops';\nimport {Serializable} from '../serialization';\nimport {Scalar, Variable} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\n/**\n * A variable that belongs to an optimizer.\n *\n * The `originalName` field is required for keeping track of the canonical\n * name of the variable, which is usually the name of the model weight that\n * the variable is related to plus a suffix, e.g., 'dense1/kernel/momentum'.\n * The name of the `Variable` object itself cannot be used directly due to\n * possible deduplication: Every `Variable` must have a unique name but more\n * than one optimizer objects of the same type may be created for the same model\n * or the same `Variable`.\n */\nexport interface OptimizerVariable {\n  originalName: string;\n  variable: Variable;\n}\n\n/** @doc {heading: 'Training', subheading: 'Classes', namespace: 'train'} */\nexport abstract class Optimizer extends Serializable {\n  protected iterations_: number;\n\n  /**\n   * Executes `f()` and minimizes the scalar output of `f()` by computing\n   * gradients of y with respect to the list of trainable variables provided by\n   * `varList`. If no list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to minimize.\n   * @param returnCost Whether to return the scalar cost value produced by\n   * executing `f()`.\n   * @param varList An optional list of variables to update. If specified, only\n   * the trainable variables in varList will be updated by minimize. Defaults to\n   * all trainable variables.\n   */\n  /** @doc {heading: 'Training', subheading: 'Optimizers'} */\n  minimize(f: () => Scalar, returnCost = false, varList?: Variable[]): Scalar\n      |null {\n    const {value, grads} = this.computeGradients(f, varList);\n\n    if (varList != null) {\n      const gradArray: NamedTensor[] =\n          varList.map(v => ({name: v.name, tensor: grads[v.name]}));\n      this.applyGradients(gradArray);\n    } else {\n      this.applyGradients(grads);\n    }\n\n    // Dispose gradients.\n    dispose(grads);\n\n    if (returnCost) {\n      return value;\n    } else {\n      value.dispose();\n      return null;\n    }\n  }\n\n  /**\n   * The number of iterations that this optimizer instance has been invoked for.\n   */\n  get iterations(): number {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return this.iterations_;\n  }\n\n  protected incrementIterations() {\n    this.iterations_ = this.iterations + 1;\n  }\n\n  /**\n   * Executes f() and computes the gradient of the scalar output of f() with\n   * respect to the list of trainable variables provided by `varList`. If no\n   * list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to use for computing\n   * gradients with respect to variables.\n   * @param varList An optional list of variables to compute gradients with\n   * respect to. If specified, only the trainable variables in varList will have\n   * gradients computed with respect to. Defaults to all trainable variables.\n   */\n  computeGradients(f: () => Scalar, varList?: Variable[]):\n      {value: Scalar, grads: NamedTensorMap} {\n    return variableGrads(f, varList);\n  }\n\n  /**\n   * Updates variables by using the computed gradients.\n   *\n   * @param variableGradients A mapping of variable name to its gradient value.\n   */\n  abstract applyGradients(variableGradients: NamedTensorMap|\n                          NamedTensor[]): void;\n\n  /**\n   * Dispose the variables (if any) owned by this optimizer instance.\n   */\n  dispose(): void {\n    if (this.iterations_ != null) {\n      dispose(this.iterations_);\n    }\n  }\n\n  async saveIterations(): Promise<NamedTensor> {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return {\n      name: 'iter',  // Named for Python compatibility.\n      // TODO(cais): Use 'int64' type when available.\n      tensor: scalar(this.iterations_, 'int32')\n    };\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for this optimizer yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error(\n        `setWeights() is not implemented for this optimizer class ` +\n        `${this.getClassName()}`);\n  }\n\n  /**\n   * Extract the first element of the weight values and set it\n   * as the iterations counter variable of this instance of optimizer.\n   *\n   * @param weightValues\n   * @returns Weight values with the first element consumed and excluded.\n   */\n  protected async extractIterations(weightValues: NamedTensor[]):\n      Promise<NamedTensor[]> {\n    this.iterations_ = (await weightValues[0].tensor.data())[0];\n    return weightValues.slice(1);\n  }\n}\n\nObject.defineProperty(Optimizer, Symbol.hasInstance, {\n  value: (instance: Optimizer) => {\n    return instance.minimize != null && instance.computeGradients != null &&\n        instance.applyGradients != null;\n  }\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdadeltaOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adadelta';  // Name matters for Python compatibility.\n  private accumulatedGrads: OptimizerVariable[] = [];\n  private accumulatedUpdates: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected rho: number,\n      protected epsilon: number = null) {\n    super();\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedGrads[i] == null) {\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accum_grad`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedUpdates[i] == null) {\n        this.accumulatedUpdates[i] = {\n          originalName: `${name}/accum_var`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n      const accumulatedUpdate = this.accumulatedUpdates[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.mul(this.rho).add(\n            gradient.square().mul(1 - this.rho));\n\n        const updates = accumulatedUpdate.add(this.epsilon)\n                            .sqrt()\n                            .div(accumulatedGrad.add(this.epsilon).sqrt())\n                            .mul(gradient);\n\n        const newAccumulatedUpdate = accumulatedUpdate.mul(this.rho).add(\n            updates.square().mul(1 - this.rho));\n\n        accumulatedGrad.assign(newAccumulatedGrad);\n        accumulatedUpdate.assign(newAccumulatedUpdate);\n\n        const newValue = updates.mul(-this.learningRate).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedUpdates != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n      dispose(this.accumulatedUpdates.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedGrads, ...this.accumulatedUpdates];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedGrads =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedUpdates =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'rho': this.rho,\n      'epsilon': this.epsilon\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['rho'], config['epsilon']);\n  }\n}\nregisterClass(AdadeltaOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {fill} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdagradOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adagrad';  // Note: Name matters for Python compatibility.\n\n  private accumulatedGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private initialAccumulatorValue = 0.1) {\n    super();\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulatedGrads[i] == null) {\n        const trainable = false;\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accumulator`,\n          variable: tidy(\n              () => fill(value.shape, this.initialAccumulatorValue)\n                        .variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.add(gradient.square());\n        accumulatedGrad.assign(newAccumulatedGrad);\n\n        const newValue =\n            gradient\n                .div(newAccumulatedGrad.add(ENGINE.backend.epsilon()).sqrt())\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedGrads != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulatedGrads.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulatedGrads = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'initialAccumulatorValue': this.initialAccumulatorValue,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['initialAccumulatorValue']);\n  }\n}\nregisterClass(AdagradOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {pow, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adam';  // Note: Name matters for Python compatibility.\n  private accBeta1: Variable;\n  private accBeta2: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedSecondMoment: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null) {\n    super();\n    tidy(() => {\n      // accB* will be updated by batch.\n      this.accBeta1 = scalar(beta1).variable();\n      this.accBeta2 = scalar(beta2).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const oneMinusAccBeta2 = sub(1, this.accBeta2);\n\n      varNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n        if (this.accumulatedSecondMoment[i] == null) {\n          this.accumulatedSecondMoment[i] = {\n            originalName: `${name}/v`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const secondMoment = this.accumulatedSecondMoment[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n        const newSecondMoment = secondMoment.mul(this.beta2)\n                                    .add(gradient.square().mul(1 - this.beta2));\n\n        const biasCorrectedFirstMoment = newFirstMoment.div(oneMinusAccBeta1);\n        const biasCorrectedSecondMoment = newSecondMoment.div(oneMinusAccBeta2);\n\n        firstMoment.assign(newFirstMoment);\n        secondMoment.assign(newSecondMoment);\n\n        const newValue =\n            biasCorrectedFirstMoment\n                .div(biasCorrectedSecondMoment.sqrt().add(this.epsilon))\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n      this.accBeta2.assign(this.accBeta2.mul(this.beta2));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.accBeta2.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedSecondMoment != null) {\n      dispose(this.accumulatedSecondMoment.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedFirstMoment, ...this.accumulatedSecondMoment];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    tidy(() => {\n      this.accBeta1.assign(pow(this.beta1, this.iterations_ + 1));\n      this.accBeta2.assign(pow(this.beta2, this.iterations_ + 1));\n    });\n\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedFirstMoment =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedSecondMoment =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon']);\n  }\n}\nregisterClass(AdamOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {div, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamaxOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adamax';  // Note: Name matters for Python compatbility.\n  private accBeta1: Variable;\n  private iteration: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedWeightedInfNorm: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null,\n      protected decay = 0.0) {\n    super();\n\n    tidy(() => {\n      this.iteration = scalar(0).variable();\n      this.accBeta1 = scalar(beta1).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const lr = div(-this.learningRate, this.iteration.mul(this.decay).add(1));\n\n      variableNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n        if (this.accumulatedWeightedInfNorm[i] == null) {\n          this.accumulatedWeightedInfNorm[i] = {\n            originalName: `${name}/v`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const weightedInfNorm = this.accumulatedWeightedInfNorm[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n\n        const ut0 = weightedInfNorm.mul(this.beta2);\n        const ut1 = gradient.abs();\n\n        const newWeightedInfNorm = ut0.maximum(ut1);\n\n        firstMoment.assign(newFirstMoment);\n        weightedInfNorm.assign(newWeightedInfNorm);\n\n        const newValue =\n            lr.div(oneMinusAccBeta1)\n                .mul(newFirstMoment.div(newWeightedInfNorm.add(this.epsilon)))\n                .add(value);\n\n        value.assign(newValue);\n      });\n\n      this.iteration.assign(this.iteration.add(1));\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.iteration.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedWeightedInfNorm != null) {\n      dispose(this.accumulatedWeightedInfNorm.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for Adamax yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error('setWeights() is not implemented for Adamax yet.');\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n      'decay': this.decay\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon'], config['decay']);\n  }\n}\nregisterClass(AdamaxOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {keep, tidy} from '../globals';\nimport {scalar} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer} from './optimizer';\n\n/** @doclink Optimizer */\nexport class SGDOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'SGD';  // Note: Name matters for Python compatibility.\n  protected c: Scalar;\n\n  constructor(protected learningRate: number) {\n    super();\n    this.setLearningRate(learningRate);\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    varNames.forEach((name, i) => {\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n      const value = ENGINE.registeredVariables[name];\n      tidy(() => {\n        const newValue = this.c.mul(gradient).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  /**\n   * Sets the learning rate of the optimizer.\n   */\n  setLearningRate(learningRate: number) {\n    this.learningRate = learningRate;\n    if (this.c != null) {\n      this.c.dispose();\n    }\n    this.c = keep(scalar(-learningRate));\n  }\n\n  dispose() {\n    this.c.dispose();\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    return [await this.saveIterations()];\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    if (weightValues.length !== 0) {\n      throw new Error('SGD optimizer does not have settable weights.');\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {'learningRate': this.learningRate};\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate']);\n  }\n}\nregisterClass(SGDOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {scalar, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar, Tensor} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {OptimizerVariable} from './optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\n/** @doclink Optimizer */\nexport class MomentumOptimizer extends SGDOptimizer {\n  /** @nocollapse */\n  static className = 'Momentum';  // Name matters for Python compatibility.\n  private m: Scalar;\n  private accumulations: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private momentum: number,\n      private useNesterov = false) {\n    super(learningRate);\n    this.m = scalar(this.momentum);\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulations[i] == null) {\n        const trainable = false;\n        this.accumulations[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const accumulation = this.accumulations[i].variable;\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      tidy(() => {\n        let newValue: Tensor;\n        const newAccumulation = this.m.mul(accumulation).add(gradient);\n        if (this.useNesterov) {\n          newValue =\n              this.c.mul(gradient.add(newAccumulation.mul(this.m))).add(value);\n        } else {\n          newValue = this.c.mul(newAccumulation).add(value);\n        }\n        accumulation.assign(newAccumulation);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.m.dispose();\n    if (this.accumulations != null) {\n      dispose(this.accumulations.map(v => v.variable));\n    }\n  }\n\n  /**\n   * Sets the momentum of the optimizer.\n   *\n   * @param momentum\n   */\n  setMomentum(momentum: number) {\n    this.momentum = momentum;\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulations.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulations = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'momentum': this.momentum,\n      'useNesterov': this.useNesterov\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['momentum'], config['useNesterov']);\n  }\n}\nregisterClass(MomentumOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class RMSPropOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'RMSProp';  // Note: Name matters for Python compatibility.\n  private centered: boolean;\n\n  private accumulatedMeanSquares: OptimizerVariable[] = [];\n  private accumulatedMoments: OptimizerVariable[] = [];\n  private accumulatedMeanGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected decay = 0.9,\n      protected momentum = 0.0, protected epsilon: number = null,\n      centered = false) {\n    super();\n\n    this.centered = centered;\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n    if (learningRate == null) {\n      throw new Error(`learningRate for RMSPropOptimizer must be defined.`);\n    }\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedMeanSquares[i] == null) {\n        this.accumulatedMeanSquares[i] = {\n          originalName: `${name}/rms`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMoments[i] == null) {\n        this.accumulatedMoments[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMeanGrads[i] == null && this.centered) {\n        this.accumulatedMeanGrads[i] = {\n          originalName: `${name}/mg`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedMeanSquare = this.accumulatedMeanSquares[i].variable;\n      const accumulatedMoments = this.accumulatedMoments[i].variable;\n      tidy(() => {\n        const newAccumulatedMeanSquare =\n            accumulatedMeanSquare.mul(this.decay)\n                .add(gradient.square().mul(1 - this.decay));\n\n        if (this.centered) {\n          const accumulatedMeanGrad = this.accumulatedMeanGrads[i].variable;\n          // Centered gradient\n          const newAccumulatedMeanGrad = accumulatedMeanGrad.mul(this.decay)\n                                             .add(gradient.mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare\n                                    .sub(newAccumulatedMeanGrad.square().add(\n                                        this.epsilon))\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMeanGrad.assign(newAccumulatedMeanGrad);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        } else {\n          // Plain gradient\n          const newAccumulatedMeanSquare =\n              accumulatedMeanSquare.mul(this.decay)\n                  .add(gradient.square().mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare.add(this.epsilon)\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        }\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedMeanSquares != null) {\n      dispose(this.accumulatedMeanSquares.map(v => v.variable));\n    }\n    if (this.accumulatedMeanGrads != null && this.centered) {\n      dispose(this.accumulatedMeanGrads.map(v => v.variable));\n    }\n    if (this.accumulatedMoments != null) {\n      dispose(this.accumulatedMoments.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedMeanSquares, ...this.accumulatedMoments];\n    if (this.centered) {\n      variables.push(...this.accumulatedMeanGrads);\n    }\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount =\n        this.centered ? weightValues.length / 3 : weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedMeanSquares =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedMoments =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n    if (this.centered) {\n      this.accumulatedMeanGrads =\n          weightValues.slice(variableCount * 2, variableCount * 3)\n              .map(v => ({\n                     originalName: v.name,\n                     variable: v.tensor.variable(trainable)\n                   }));\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'decay': this.decay,\n      'momentum': this.momentum,\n      'epsilon': this.epsilon,\n      'centered': this.centered\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['decay'], config['momentum'],\n        config['epsilon'], config['centered']);\n  }\n}\nregisterClass(RMSPropOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AdadeltaOptimizer} from './adadelta_optimizer';\nimport {AdagradOptimizer} from './adagrad_optimizer';\nimport {AdamOptimizer} from './adam_optimizer';\nimport {AdamaxOptimizer} from './adamax_optimizer';\nimport {MomentumOptimizer} from './momentum_optimizer';\nimport {RMSPropOptimizer} from './rmsprop_optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\nexport class OptimizerConstructors {\n  /**\n   * Constructs a `tf.SGDOptimizer` that uses stochastic gradient descent.\n   *\n   * ```js\n   * // Fit a quadratic function by learning the coefficients a, b, c.\n   * const xs = tf.tensor1d([0, 1, 2, 3]);\n   * const ys = tf.tensor1d([1.1, 5.9, 16.8, 33.9]);\n   *\n   * const a = tf.scalar(Math.random()).variable();\n   * const b = tf.scalar(Math.random()).variable();\n   * const c = tf.scalar(Math.random()).variable();\n   *\n   * // y = a * x^2 + b * x + c.\n   * const f = x => a.mul(x.square()).add(b.mul(x)).add(c);\n   * const loss = (pred, label) => pred.sub(label).square().mean();\n   *\n   * const learningRate = 0.01;\n   * const optimizer = tf.train.sgd(learningRate);\n   *\n   * // Train the model.\n   * for (let i = 0; i < 10; i++) {\n   *   optimizer.minimize(() => loss(f(xs), ys));\n   * }\n   *\n   * // Make predictions.\n   * console.log(\n   *     `a: ${a.dataSync()}, b: ${b.dataSync()}, c: ${c.dataSync()}`);\n   * const preds = f(xs).dataSync();\n   * preds.forEach((pred, i) => {\n   *   console.log(`x: ${i}, pred: ${pred}`);\n   * });\n   * ```\n   *\n   * @param learningRate The learning rate to use for the SGD algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static sgd(learningRate: number): SGDOptimizer {\n    return new SGDOptimizer(learningRate);\n  }\n\n  /**\n   * Constructs a `tf.MomentumOptimizer` that uses momentum gradient\n   * descent.\n   *\n   * See\n   * [http://proceedings.mlr.press/v28/sutskever13.pdf](\n   * http://proceedings.mlr.press/v28/sutskever13.pdf)\n   *\n   * @param learningRate The learning rate to use for the Momentum gradient\n   * descent algorithm.\n   * @param momentum The momentum to use for the momentum gradient descent\n   * algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static momentum(learningRate: number, momentum: number, useNesterov = false):\n      MomentumOptimizer {\n    return new MomentumOptimizer(learningRate, momentum, useNesterov);\n  }\n\n  /**\n   * Constructs a `tf.RMSPropOptimizer` that uses RMSProp gradient\n   * descent. This implementation uses plain momentum and is not centered\n   * version of RMSProp.\n   *\n   * See\n   * [http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf](\n   * http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf)\n   *\n   * @param learningRate The learning rate to use for the RMSProp gradient\n   * descent algorithm.\n   * @param decay The discounting factor for the history/coming gradient.\n   * @param momentum The momentum to use for the RMSProp gradient descent\n   * algorithm.\n   * @param epsilon Small value to avoid zero denominator.\n   * @param centered If true, gradients are normalized by the estimated\n   * variance of the gradient.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static rmsprop(\n      learningRate: number, decay = .9, momentum = 0.0, epsilon: number = null,\n      centered = false): RMSPropOptimizer {\n    return new RMSPropOptimizer(\n        learningRate, decay, momentum, epsilon, centered);\n  }\n\n  /**\n   * Constructs a `tf.AdamOptimizer` that uses the Adam algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adam gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adam(\n      learningRate = 0.001, beta1 = 0.9, beta2 = 0.999,\n      epsilon: number = null): AdamOptimizer {\n    return new AdamOptimizer(learningRate, beta1, beta2, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdadeltaOptimizer` that uses the Adadelta algorithm.\n   * See [https://arxiv.org/abs/1212.5701](https://arxiv.org/abs/1212.5701)\n   *\n   * @param learningRate The learning rate to use for the Adadelta gradient\n   * descent algorithm.\n   * @param rho The learning rate decay over each update.\n   * @param epsilon A constant epsilon used to better condition the grad\n   * update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adadelta(learningRate = .001, rho = .95, epsilon: number = null):\n      AdadeltaOptimizer {\n    return new AdadeltaOptimizer(learningRate, rho, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdamaxOptimizer` that uses the Adamax algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adamax gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   * @param decay The learning rate decay over each update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adamax(\n      learningRate = 0.002, beta1 = 0.9, beta2 = 0.999, epsilon: number = null,\n      decay = 0.0): AdamaxOptimizer {\n    return new AdamaxOptimizer(learningRate, beta1, beta2, epsilon, decay);\n  }\n\n  /**\n   * Constructs a `tf.AdagradOptimizer` that uses the Adagrad algorithm.\n   * See\n   * [http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf](\n   * http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf)\n   * or\n   * [http://ruder.io/optimizing-gradient-descent/index.html#adagrad](\n   * http://ruder.io/optimizing-gradient-descent/index.html#adagrad)\n   *\n   * @param learningRate The learning rate to use for the Adagrad gradient\n   * descent algorithm.\n   * @param initialAccumulatorValue Starting value for the accumulators, must be\n   * positive.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adagrad(learningRate: number, initialAccumulatorValue = 0.1):\n      AdagradOptimizer {\n    return new AdagradOptimizer(learningRate, initialAccumulatorValue);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// So typings can propagate.\nimport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nimport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nimport {AdamOptimizer} from './optimizers/adam_optimizer';\nimport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nimport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nimport {OptimizerConstructors} from './optimizers/optimizer_constructors';\nimport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nimport {SGDOptimizer} from './optimizers/sgd_optimizer';\n\n// tslint:disable-next-line:no-unused-expression\n[MomentumOptimizer, SGDOptimizer, AdadeltaOptimizer, AdagradOptimizer,\n RMSPropOptimizer, AdamaxOptimizer, AdamOptimizer];\n\nexport const train = {\n  sgd: OptimizerConstructors.sgd,\n  momentum: OptimizerConstructors.momentum,\n  adadelta: OptimizerConstructors.adadelta,\n  adagrad: OptimizerConstructors.adagrad,\n  rmsprop: OptimizerConstructors.rmsprop,\n  adamax: OptimizerConstructors.adamax,\n  adam: OptimizerConstructors.adam\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst delayCallback: Function = (() => {\n  if (typeof requestAnimationFrame !== 'undefined') {\n    return requestAnimationFrame;\n  } else if (typeof setImmediate !== 'undefined') {\n    return setImmediate;\n  }\n  return (f: Function) => f();  // no delays\n})();\n\n/**\n * Returns a promise that resolve when a requestAnimationFrame has completed.\n *\n * On Node.js this uses setImmediate instead of requestAnimationFrame.\n *\n * This is simply a sugar method so that users can do the following:\n * `await tf.nextFrame();`\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nfunction nextFrame(): Promise<void> {\n  return new Promise<void>(resolve => delayCallback(() => resolve()));\n}\n\nexport {nextFrame};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {add} from '../../ops/add';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    add<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.add = function<T extends Tensor>(b: Tensor|TensorLike): T {\n  return add(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {broadcastTo} from '../../ops/broadcast_to';\nimport {Tensor} from '../../tensor';\nimport {Rank, ShapeMap} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    broadcastTo<R extends Rank>(shape: ShapeMap[R]): Tensor<R>;\n  }\n}\n\nTensor.prototype.broadcastTo = function<R extends Rank>(shape: ShapeMap[R]):\n    Tensor<R> {\n  return broadcastTo(this, shape);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {div} from '../../ops/div';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    div<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.div = function<T extends Tensor>(b: Tensor|TensorLike): T {\n  return div(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {divNoNan} from '../../ops/div_no_nan';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    divNoNan<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.divNoNan = function<T extends Tensor>(b: Tensor|\n                                                       TensorLike): T {\n  return divNoNan(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {squaredDifference} from '../../ops/squared_difference';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    squaredDifference<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.squaredDifference = function<T extends Tensor>(b: Tensor|\n                                                                TensorLike): T {\n  return squaredDifference(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tile} from '../../ops/tile';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    tile<T extends Tensor>(b: number[]): T;\n  }\n}\n\nTensor.prototype.tile = function<T extends Tensor>(reps: number[]): T {\n  return tile(this, reps) as T;\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {oneHot} from '../../ops/one_hot';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    oneHot(depth: number, onValue: number, offValue: number): Tensor;\n  }\n}\n\nTensor.prototype.oneHot = function(\n    depth: number, onValue = 1, offValue = 0): Tensor {\n  return oneHot(this, depth, onValue, offValue);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {transpose} from '../../ops/transpose';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    transpose<T extends Tensor>(perm?: number[]): T;\n  }\n}\n\nTensor.prototype.transpose = function<T extends Tensor>(\n    this: T, perm?: number[]): T {\n  return transpose(this, perm);\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {pad} from '../../ops/pad';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    pad<T extends Tensor>(\n        paddings: Array<[number, number]>, constantValue?: number): T;\n  }\n}\n\nTensor.prototype.pad = function<T extends Tensor>(\n    this: T, paddings: Array<[number, number]>, constantValue: number): T {\n  return pad(this, paddings, constantValue);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {batchNorm} from '../../ops/batchnorm';\nimport {Tensor, Tensor1D} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    batchNorm<T extends Tensor>(\n      mean: Tensor<R> | Tensor1D | TensorLike,\n      variance: Tensor<R> | Tensor1D | TensorLike,\n      offset?: Tensor<R> | Tensor1D | TensorLike,\n      scale?: Tensor<R> | Tensor1D | TensorLike,\n      varianceEpsilon?: number\n    ): Tensor<R>;\n  }\n}\n\nTensor.prototype.batchNorm = function <R extends Rank>(\n  this: Tensor<R> | TensorLike, mean: Tensor<R> | Tensor1D | TensorLike,\n  variance: Tensor<R> | Tensor1D | TensorLike,\n  offset?: Tensor<R> | Tensor1D | TensorLike,\n  scale?: Tensor<R> | Tensor1D | TensorLike,\n  varianceEpsilon?: number): Tensor<R> {\n  return batchNorm(this, mean, variance, offset, scale, varianceEpsilon);\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * @fileoverview\n * @suppress {partialAlias} Optimization disabled due to passing the module\n * object into a function below:\n *\n *   import * as ops from './ops/ops';\n *   setOpHandler(ops);\n */\n\n// Engine is the global singleton that needs to be initialized before the rest\n// of the app.\nimport './engine';\n// Register backend-agnostic flags.\nimport './flags';\n// backend_cpu.ts and backend_webgl.ts are standalone files and should be\n// explicitly included here.\nimport './backends/webgl/backend_webgl';\nimport './backends/cpu/backend_cpu';\n// Import all kernels from cpu.\nimport './backends/cpu/register_all_kernels';\n// Import all kernels from webgl.\nimport './backends/webgl/register_all_kernels';\n\n// Register all the gradients.\nimport './register_all_gradients';\n\nimport './platforms/platform_browser';\nimport './platforms/platform_node';\n\nimport * as backend_util from './backends/backend_util';\n// Serialization.\nimport * as io from './io/io';\nimport * as math from './math';\nimport * as browser from './ops/browser';\nimport * as gather_util from './ops/gather_nd_util';\nimport * as scatter_util from './ops/scatter_nd_util';\nimport * as slice_util from './ops/slice_util';\nimport * as serialization from './serialization';\nimport {setOpHandler} from './tensor';\nimport * as tensor_util from './tensor_util';\nimport * as test_util from './test_util';\nimport * as util from './util';\nimport {version} from './version';\nimport * as webgl from './webgl';\n\nexport {InferenceModel, MetaGraph, MetaGraphInfo, ModelPredictConfig, ModelTensorInfo, SavedModelTensorInfo, SignatureDef, SignatureDefInfo} from './model_types';\n// Optimizers.\nexport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nexport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nexport {AdamOptimizer} from './optimizers/adam_optimizer';\nexport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nexport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nexport {Optimizer} from './optimizers/optimizer';\nexport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nexport {SGDOptimizer} from './optimizers/sgd_optimizer';\nexport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer, Variable} from './tensor';\nexport {GradSaveFunc, NamedTensorMap, TensorContainer, TensorContainerArray, TensorContainerObject} from './tensor_types';\nexport {DataType, DataTypeMap, DataValues, Rank, RecursiveArray, ShapeMap, sumOutType, TensorLike} from './types';\n\nexport * from './ops/ops';\nexport {LSTMCellFunc} from './ops/lstm';\nexport {Reduction} from './ops/loss_ops';\n\nexport * from './train';\nexport * from './globals';\nexport * from './kernel_names';\nexport * from './kernel_registry';\nexport {customGrad, grad, grads, valueAndGrad, valueAndGrads, variableGrads} from './gradients';\n\nexport {TimingInfo, MemoryInfo} from './engine';\nexport {Environment, env, ENV} from './environment';\nexport {Platform} from './platforms/platform';\n\nexport {version as version_core};\n\n// Top-level method exports.\nexport {nextFrame} from './browser_util';\n\n// Second level exports.\nexport {\n  browser,\n  io,\n  math,\n  serialization,\n  test_util,\n  util,\n  backend_util,\n  webgl,\n  tensor_util,\n  slice_util,\n  gather_util,\n  scatter_util\n};\n\n// Backend specific.\nexport {KernelBackend, BackendTimingInfo, DataMover, DataStorage} from './backends/backend';\n\nimport * as ops from './ops/ops';\nsetOpHandler(ops);\n\n// Import all op chainers and add type info to Tensor.\nimport 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* @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Platform} from './platforms/platform';\n\n// Expects flags from URL in the format ?tfjsflags=FLAG1:1,FLAG2:true.\nconst TENSORFLOWJS_FLAGS_PREFIX = 'tfjsflags';\n\ntype FlagValue = number|boolean;\nexport type Flags = {\n  [featureName: string]: FlagValue\n};\nexport type FlagRegistryEntry = {\n  evaluationFn: () => FlagValue;\n  setHook?: (value: FlagValue) => void;\n};\n\n/**\n * The environment contains evaluated flags as well as the registered platform.\n * This is always used as a global singleton and can be retrieved with\n * `tf.env()`.\n */\n/** @doc {heading: 'Environment'} */\nexport class Environment {\n  private flags: Flags = {};\n  private flagRegistry: {[flagName: string]: FlagRegistryEntry} = {};\n\n  private urlFlags: Flags = {};\n\n  platformName: string;\n  platform: Platform;\n\n  // tslint:disable-next-line: no-any\n  constructor(public global: any) {\n    this.populateURLFlags();\n  }\n\n  setPlatform(platformName: string, platform: Platform) {\n    if (this.platform != null) {\n      console.warn(\n          `Platform ${this.platformName} has already been set. ` +\n          `Overwriting the platform with ${platform}.`);\n    }\n    this.platformName = platformName;\n    this.platform = platform;\n  }\n\n  registerFlag(\n      flagName: string, evaluationFn: () => FlagValue,\n      setHook?: (value: FlagValue) => void) {\n    this.flagRegistry[flagName] = {evaluationFn, setHook};\n\n    // Override the flag value from the URL. This has to happen here because the\n    // environment is initialized before flags get registered.\n    if (this.urlFlags[flagName] != null) {\n      const flagValue = this.urlFlags[flagName];\n      console.warn(\n          `Setting feature override from URL ${flagName}: ${flagValue}.`);\n      this.set(flagName, flagValue);\n    }\n  }\n\n  get(flagName: string): FlagValue {\n    if (flagName in this.flags) {\n      return this.flags[flagName];\n    }\n\n    this.flags[flagName] = this.evaluateFlag(flagName);\n\n    return this.flags[flagName];\n  }\n\n  getNumber(flagName: string): number {\n    return this.get(flagName) as number;\n  }\n\n  getBool(flagName: string): boolean {\n    return this.get(flagName) as boolean;\n  }\n\n  getFlags(): Flags {\n    return this.flags;\n  }\n  // For backwards compatibility.\n  get features(): Flags {\n    return this.flags;\n  }\n\n  set(flagName: string, value: FlagValue): void {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot set flag ${flagName} as it has not been registered.`);\n    }\n    this.flags[flagName] = value;\n    if (this.flagRegistry[flagName].setHook != null) {\n      this.flagRegistry[flagName].setHook(value);\n    }\n  }\n\n  private evaluateFlag(flagName: string): FlagValue {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(\n          `Cannot evaluate flag '${flagName}': no evaluation function found.`);\n    }\n    return this.flagRegistry[flagName].evaluationFn();\n  }\n\n  setFlags(flags: Flags) {\n    this.flags = Object.assign({}, flags);\n  }\n\n  reset() {\n    this.flags = {};\n    this.urlFlags = {};\n    this.populateURLFlags();\n  }\n\n  private populateURLFlags(): void {\n    if (typeof this.global === 'undefined' ||\n        typeof this.global.location === 'undefined' ||\n        typeof this.global.location.search === 'undefined') {\n      return;\n    }\n\n    const urlParams = getQueryParams(this.global.location.search);\n    if (TENSORFLOWJS_FLAGS_PREFIX in urlParams) {\n      const keyValues = urlParams[TENSORFLOWJS_FLAGS_PREFIX].split(',');\n      keyValues.forEach(keyValue => {\n        const [key, value] = keyValue.split(':') as [string, string];\n        this.urlFlags[key] = parseValue(key, value);\n      });\n    }\n  }\n}\n\nexport function getQueryParams(queryString: string): {[key: string]: string} {\n  const params = {};\n  queryString.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (s, ...t) => {\n    decodeParam(params, t[0], t[1]);\n    return t.join('=');\n  });\n  return params;\n}\n\nfunction decodeParam(\n    params: {[key: string]: string}, name: string, value?: string) {\n  params[decodeURIComponent(name)] = decodeURIComponent(value || '');\n}\n\nfunction parseValue(flagName: string, value: string): FlagValue {\n  value = value.toLowerCase();\n  if (value === 'true' || value === 'false') {\n    return value === 'true';\n  } else if (`${+ value}` === value) {\n    return +value;\n  }\n  throw new Error(\n      `Could not parse value flag value ${value} for flag ${flagName}.`);\n}\n\n/**\n * Returns the current environment (a global singleton).\n *\n * The environment object contains the evaluated feature values as well as the\n * active platform.\n */\n/** @doc {heading: 'Environment'} */\nexport function env() {\n  return ENV;\n}\n\nexport let ENV: Environment = null;\nexport function setEnvironmentGlobal(environment: Environment) {\n  ENV = environment;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NamedGradientMap} from './tape';\nimport {Tensor} from './tensor';\nimport {DataType, RecursiveArray} from './types';\n\nconst kernelRegistry: Map<string, KernelConfig> = new Map();\nconst gradRegistry: Map<string, GradConfig> = new Map();\n\nexport type DataId = object;\n\ntype AttributeValue =\n    number|number[]|boolean|boolean[]|string|string[]|NamedAttrMap;\n\n/** These are extra non-tensor/primitive params passed to kernel functions. */\nexport type Attribute = AttributeValue|RecursiveArray<AttributeValue>;\n\n/** Specifies the code to run when executing a kernel. */\nexport type KernelFunc = (params: {\n  inputs: NamedTensorInfoMap,\n  backend: {},\n  attrs?: NamedAttrMap,\n}) => TensorInfo|TensorInfo[];\n\n/** The function to run when computing a gradient during backprop. */\nexport type GradFunc =\n    (dy: Tensor|Tensor[], saved: Tensor[], attrs: NamedAttrMap) =>\n        NamedGradientMap;\n\n/** Function that gets called after the backend initializes. */\nexport type KernelSetupFunc = (backend: {}) => void;\n/** Function that gets called right before the backend is disposed. */\nexport type KernelDisposeFunc = KernelSetupFunc;\n\n/** Config object for registering a kernel in the global registry. */\nexport interface KernelConfig {\n  kernelName: string;\n  backendName: string;\n  kernelFunc: KernelFunc;\n  setupFunc?: KernelSetupFunc;\n  disposeFunc?: KernelDisposeFunc;\n}\n\n/** Config object for registering a gradient in the global registry. */\nexport interface GradConfig {\n  kernelName: string;\n  inputsToSave?: string[];\n  // When saveAllInputs is true, all inputs will be saved. Only use this flag\n  // if inputs is an array of Tensors.\n  saveAllInputs?: boolean;\n  outputsToSave?: boolean[];\n  gradFunc: GradFunc;\n}\n\n/** Holds metadata for a given tensor. */\nexport interface TensorInfo {\n  dataId: DataId;\n  shape: number[];\n  dtype: DataType;\n}\n\nexport interface NamedTensorInfoMap {\n  [name: string]: TensorInfo;\n}\n\nexport interface NamedAttrMap {\n  [name: string]: Attribute;\n}\n\n/**\n * Returns the kernel function (code) associated with the provided names.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n */\nexport function getKernel(\n    kernelName: string, backendName: string): KernelConfig {\n  const key = makeKey(kernelName, backendName);\n  return kernelRegistry.get(key);\n}\n\n/**\n * Returns the registered gradient info associated with the provided kernel.\n * @param kernelName The official TF kernel name.\n */\nexport function getGradient(kernelName: string): GradConfig {\n  return gradRegistry.get(kernelName);\n}\n\nexport function getKernelsForBackend(backendName: string): KernelConfig[] {\n  const it = kernelRegistry.entries();\n  const result: KernelConfig[] = [];\n\n  while (true) {\n    const {done, value} = it.next();\n    if (done) {\n      break;\n    }\n    const [key, config] = value;\n    const [backend, ] = key.split('_');\n    if (backend === backendName) {\n      result.push(config);\n    }\n  }\n  return result;\n}\n\n/**\n * Registers the function (forward pass) for the kernel in a global registry.\n *\n * @param config A config object with the following properties:\n * - `kernelName` The official name of the kernel.\n * - `backendName` The official name of the backend.\n * - `kernelFunc` The function to run during the forward pass of the kernel.\n * - `setupFunc` Optional. Gets called once, after the backend initializes.\n * - `disposeFunc` Optional. Gets called once, right before the backend is\n * disposed.\n */\nexport function registerKernel(config: KernelConfig) {\n  const {kernelName, backendName} = config;\n  const key = makeKey(kernelName, backendName);\n  if (kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is already registered`);\n  }\n  kernelRegistry.set(key, config);\n}\n\n/**\n * Registers a gradient function for a given kernel in the global registry,\n * to be used during the back-propagation of that kernel.\n *\n * @param config An object with the following properties:\n * - `kernelName` The name of the kernel that the gradient function is for.\n * - `gradFunc` The function to run during back-propagation.\n */\nexport function registerGradient(config: GradConfig) {\n  const {kernelName} = config;\n  if (gradRegistry.has(kernelName)) {\n    console.warn(`Overriding the gradient for '${kernelName}'`);\n  }\n  gradRegistry.set(kernelName, config);\n}\n\n/**\n * Removes the kernel function from the registry.\n *\n * @param kernelName The official name of the kernel.\n * @param backendName The official name of the backend.\n *\n */\nexport function unregisterKernel(\n    kernelName: string, backendName: string): void {\n  const key = makeKey(kernelName, backendName);\n  if (!kernelRegistry.has(key)) {\n    throw new Error(\n        `The kernel '${kernelName}' for backend ` +\n        `'${backendName}' is not registered`);\n  }\n  kernelRegistry.delete(key);\n}\n\n/** Removes the registered gradient from the global registry. */\nexport function unregisterGradient(kernelName: string): void {\n  if (!gradRegistry.has(kernelName)) {\n    throw new Error(\n        `The gradient '${kernelName}' for backend is not registered`);\n  }\n  gradRegistry.delete(kernelName);\n}\n\nfunction makeKey(kernelName: string, backendName: string) {\n  return `${backendName}_${kernelName}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nimport {DataType, DataTypeMap, FlatVector, NumericDataType, RecursiveArray, TensorLike, TypedArray} from './types';\n\n/**\n * Shuffles the array in-place using Fisher-Yates algorithm.\n *\n * ```js\n * const a = [1, 2, 3, 4, 5];\n * tf.util.shuffle(a);\n * console.log(a);\n * ```\n *\n * @param array The array to shuffle in-place.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\n// tslint:disable-next-line:no-any\nexport function shuffle(array: any[]|Uint32Array|Int32Array|\n                        Float32Array): void {\n  let counter = array.length;\n  let temp = 0;\n  let index = 0;\n  // While there are elements in the array\n  while (counter > 0) {\n    // Pick a random index\n    index = (Math.random() * counter) | 0;\n    // Decrease counter by 1\n    counter--;\n    // And swap the last element with it\n    temp = array[counter];\n    array[counter] = array[index];\n    array[index] = temp;\n  }\n}\n\n/** Clamps a value to a specified range. */\nexport function clamp(min: number, x: number, max: number): number {\n  return Math.max(min, Math.min(x, max));\n}\n\nexport function nearestLargerEven(val: number): number {\n  return val % 2 === 0 ? val : val + 1;\n}\n\nexport function sum(arr: number[]): number {\n  let sum = 0;\n  for (let i = 0; i < arr.length; i++) {\n    sum += arr[i];\n  }\n  return sum;\n}\n\n/**\n * Returns a sample from a uniform [a, b) distribution.\n *\n * @param a The minimum support (inclusive).\n * @param b The maximum support (exclusive).\n * @return A pseudorandom number on the half-open interval [a,b).\n */\nexport function randUniform(a: number, b: number) {\n  const r = Math.random();\n  return (b * r) + (1 - r) * a;\n}\n\n/** Returns the squared Euclidean distance between two vectors. */\nexport function distSquared(a: FlatVector, b: FlatVector): number {\n  let result = 0;\n  for (let i = 0; i < a.length; i++) {\n    const diff = Number(a[i]) - Number(b[i]);\n    result += diff * diff;\n  }\n  return result;\n}\n\n/**\n * Asserts that the expression is true. Otherwise throws an error with the\n * provided message.\n *\n * ```js\n * const x = 2;\n * tf.util.assert(x === 2, 'x is not 2');\n * ```\n *\n * @param expr The expression to assert (as a boolean).\n * @param msg A function that returns the message to report when throwing an\n *     error. We use a function for performance reasons.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function assert(expr: boolean, msg: () => string) {\n  if (!expr) {\n    throw new Error(typeof msg === 'string' ? msg : msg());\n  }\n}\n\nexport function assertShapesMatch(\n    shapeA: number[], shapeB: number[], errorMessagePrefix = ''): void {\n  assert(\n      arraysEqual(shapeA, shapeB),\n      () => errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n}\n\nexport function assertNonNull(a: TensorLike): void {\n  assert(\n      a != null,\n      () => `The input to the tensor constructor must be a non-null value.`);\n}\n\n// NOTE: We explicitly type out what T extends instead of any so that\n// util.flatten on a nested array of number doesn't try to infer T as a\n// number[][], causing us to explicitly type util.flatten<number>().\n/**\n *  Flattens an arbitrarily nested array.\n *\n * ```js\n * const a = [[1, 2], [3, 4], [5, [6, [7]]]];\n * const flat = tf.util.flatten(a);\n * console.log(flat);\n * ```\n *\n *  @param arr The nested array to flatten.\n *  @param result The destination array which holds the elements.\n *  @param skipTypedArray If true, avoids flattening the typed arrays. Defaults\n *      to false.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function\nflatten<T extends number|boolean|string|Promise<number>|TypedArray>(\n    arr: T|RecursiveArray<T>, result: T[] = [], skipTypedArray = false): T[] {\n  if (result == null) {\n    result = [];\n  }\n  if (Array.isArray(arr) || isTypedArray(arr) && !skipTypedArray) {\n    for (let i = 0; i < arr.length; ++i) {\n      flatten(arr[i], result, skipTypedArray);\n    }\n  } else {\n    result.push(arr as T);\n  }\n  return result;\n}\n\n/**\n * Returns the size (number of elements) of the tensor given its shape.\n *\n * ```js\n * const shape = [3, 4, 2];\n * const size = tf.util.sizeFromShape(shape);\n * console.log(size);\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function sizeFromShape(shape: number[]): number {\n  if (shape.length === 0) {\n    // Scalar.\n    return 1;\n  }\n  let size = shape[0];\n  for (let i = 1; i < shape.length; i++) {\n    size *= shape[i];\n  }\n  return size;\n}\n\nexport function isScalarShape(shape: number[]): boolean {\n  return shape.length === 0;\n}\n\nexport function arraysEqual(n1: FlatVector, n2: FlatVector) {\n  if (n1 === n2) {\n    return true;\n  }\n  if (n1 == null || n2 == null) {\n    return false;\n  }\n\n  if (n1.length !== n2.length) {\n    return false;\n  }\n  for (let i = 0; i < n1.length; i++) {\n    if (n1[i] !== n2[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function isInt(a: number): boolean {\n  return a % 1 === 0;\n}\n\nexport function tanh(x: number): number {\n  // tslint:disable-next-line:no-any\n  if ((Math as any).tanh != null) {\n    // tslint:disable-next-line:no-any\n    return (Math as any).tanh(x);\n  }\n  if (x === Infinity) {\n    return 1;\n  } else if (x === -Infinity) {\n    return -1;\n  } else {\n    const e2x = Math.exp(2 * x);\n    return (e2x - 1) / (e2x + 1);\n  }\n}\n\nexport function sizeToSquarishShape(size: number): [number, number] {\n  const width = Math.ceil(Math.sqrt(size));\n  return [width, Math.ceil(size / width)];\n}\n\n/**\n * Creates a new array with randomized indicies to a given quantity.\n *\n * ```js\n * const randomTen = tf.util.createShuffledIndices(10);\n * console.log(randomTen);\n * ```\n *\n * @param number Quantity of how many shuffled indicies to create.\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function createShuffledIndices(n: number): Uint32Array {\n  const shuffledIndices = new Uint32Array(n);\n  for (let i = 0; i < n; ++i) {\n    shuffledIndices[i] = i;\n  }\n  shuffle(shuffledIndices);\n  return shuffledIndices;\n}\n\nexport function rightPad(a: string, size: number): string {\n  if (size <= a.length) {\n    return a;\n  }\n  return a + ' '.repeat(size - a.length);\n}\n\nexport function repeatedTry(\n    checkFn: () => boolean, delayFn = (counter: number) => 0,\n    maxCounter?: number): Promise<void> {\n  return new Promise<void>((resolve, reject) => {\n    let tryCount = 0;\n\n    const tryFn = () => {\n      if (checkFn()) {\n        resolve();\n        return;\n      }\n\n      tryCount++;\n\n      const nextBackoff = delayFn(tryCount);\n\n      if (maxCounter != null && tryCount >= maxCounter) {\n        reject();\n        return;\n      }\n      setTimeout(tryFn, nextBackoff);\n    };\n\n    tryFn();\n  });\n}\n\n/**\n * Given the full size of the array and a shape that may contain -1 as the\n * implicit dimension, returns the inferred shape where -1 is replaced.\n * E.g. For shape=[2, -1, 3] and size=24, it will return [2, 4, 3].\n *\n * @param shape The shape, which may contain -1 in some dimension.\n * @param size The full size (number of elements) of the array.\n * @return The inferred shape where -1 is replaced with the inferred size.\n */\nexport function inferFromImplicitShape(\n    shape: number[], size: number): number[] {\n  let shapeProd = 1;\n  let implicitIdx = -1;\n\n  for (let i = 0; i < shape.length; ++i) {\n    if (shape[i] >= 0) {\n      shapeProd *= shape[i];\n    } else if (shape[i] === -1) {\n      if (implicitIdx !== -1) {\n        throw Error(\n            `Shapes can only have 1 implicit size. ` +\n            `Found -1 at dim ${implicitIdx} and dim ${i}`);\n      }\n      implicitIdx = i;\n    } else if (shape[i] < 0) {\n      throw Error(`Shapes can not be < 0. Found ${shape[i]} at dim ${i}`);\n    }\n  }\n\n  if (implicitIdx === -1) {\n    if (size > 0 && size !== shapeProd) {\n      throw Error(`Size(${size}) must match the product of shape ${shape}`);\n    }\n    return shape;\n  }\n\n  if (shapeProd === 0) {\n    throw Error(\n        `Cannot infer the missing size in [${shape}] when ` +\n        `there are 0 elements`);\n  }\n  if (size % shapeProd !== 0) {\n    throw Error(\n        `The implicit shape can't be a fractional number. ` +\n        `Got ${size} / ${shapeProd}`);\n  }\n\n  const newShape = shape.slice();\n  newShape[implicitIdx] = size / shapeProd;\n  return newShape;\n}\n\nexport function parseAxisParam(\n    axis: number|number[], shape: number[]): number[] {\n  const rank = shape.length;\n\n  // Normalize input\n  axis = axis == null ? shape.map((s, i) => i) : [].concat(axis);\n\n  // Check for valid range\n  assert(\n      axis.every(ax => ax >= -rank && ax < rank),\n      () =>\n          `All values in axis param must be in range [-${rank}, ${rank}) but ` +\n          `got axis ${axis}`);\n\n  // Check for only integers\n  assert(\n      axis.every(ax => isInt(ax)),\n      () => `All values in axis param must be integers but ` +\n          `got axis ${axis}`);\n\n  // Handle negative axis.\n  return axis.map(a => a < 0 ? rank + a : a);\n}\n\n/** Reduces the shape by removing all dimensions of shape 1. */\nexport function squeezeShape(shape: number[], axis?: number[]):\n    {newShape: number[], keptDims: number[]} {\n  const newShape: number[] = [];\n  const keptDims: number[] = [];\n  const isEmptyArray = axis != null && Array.isArray(axis) && axis.length === 0;\n  const axes = (axis == null || isEmptyArray) ?\n      null :\n      parseAxisParam(axis, shape).sort();\n  let j = 0;\n  for (let i = 0; i < shape.length; ++i) {\n    if (axes != null) {\n      if (axes[j] === i && shape[i] !== 1) {\n        throw new Error(\n            `Can't squeeze axis ${i} since its dim '${shape[i]}' is not 1`);\n      }\n      if ((axes[j] == null || axes[j] > i) && shape[i] === 1) {\n        newShape.push(shape[i]);\n        keptDims.push(i);\n      }\n      if (axes[j] <= i) {\n        j++;\n      }\n    }\n    if (shape[i] !== 1) {\n      newShape.push(shape[i]);\n      keptDims.push(i);\n    }\n  }\n  return {newShape, keptDims};\n}\n\nexport function getTypedArrayFromDType<D extends NumericDataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function getArrayFromDType<D extends DataType>(\n    dtype: D, size: number): DataTypeMap[D] {\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else if (dtype === 'string') {\n    values = new Array<'string'>(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values as DataTypeMap[D];\n}\n\nexport function checkConversionForErrors<D extends DataType>(\n    vals: DataTypeMap[D]|number[], dtype: D): void {\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      throw Error(`A tensor of type ${dtype} being uploaded contains ${num}.`);\n    }\n  }\n}\n\n/** Returns true if the dtype is valid. */\nexport function isValidDtype(dtype: DataType): boolean {\n  return dtype === 'bool' || dtype === 'complex64' || dtype === 'float32' ||\n      dtype === 'int32' || dtype === 'string';\n}\n\n/**\n * Returns true if the new type can't encode the old type without loss of\n * precision.\n */\nexport function hasEncodingLoss(oldType: DataType, newType: DataType): boolean {\n  if (newType === 'complex64') {\n    return false;\n  }\n  if (newType === 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'int32' && oldType !== 'float32' && oldType !== 'complex64') {\n    return false;\n  }\n  if (newType === 'bool' && oldType === 'bool') {\n    return false;\n  }\n  return true;\n}\n\nexport function isTypedArray(a: {}): a is Float32Array|Int32Array|Uint8Array {\n  return a instanceof Float32Array || a instanceof Int32Array ||\n      a instanceof Uint8Array;\n}\n\nexport function bytesPerElement(dtype: DataType): number {\n  if (dtype === 'float32' || dtype === 'int32') {\n    return 4;\n  } else if (dtype === 'complex64') {\n    return 8;\n  } else if (dtype === 'bool') {\n    return 1;\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n\n/**\n * Returns the approximate number of bytes allocated in the string array - 2\n * bytes per character. Computing the exact bytes for a native string in JS is\n * not possible since it depends on the encoding of the html page that serves\n * the website.\n */\nexport function bytesFromStringArray(arr: Uint8Array[]): number {\n  if (arr == null) {\n    return 0;\n  }\n  let bytes = 0;\n  arr.forEach(x => bytes += x.length);\n  return bytes;\n}\n\n/** Returns true if the value is a string. */\nexport function isString(value: {}): value is string {\n  return typeof value === 'string' || value instanceof String;\n}\n\nexport function isBoolean(value: {}): boolean {\n  return typeof value === 'boolean';\n}\n\nexport function isNumber(value: {}): boolean {\n  return typeof value === 'number';\n}\n\nexport function inferDtype(values: TensorLike): DataType {\n  if (Array.isArray(values)) {\n    return inferDtype(values[0]);\n  }\n  if (values instanceof Float32Array) {\n    return 'float32';\n  } else if (values instanceof Int32Array || values instanceof Uint8Array) {\n    return 'int32';\n  } else if (isNumber(values)) {\n    return 'float32';\n  } else if (isString(values)) {\n    return 'string';\n  } else if (isBoolean(values)) {\n    return 'bool';\n  }\n  return 'float32';\n}\n\nexport function isFunction(f: Function) {\n  return !!(f && f.constructor && f.call && f.apply);\n}\n\nexport function nearestDivisor(size: number, start: number): number {\n  for (let i = start; i < size; ++i) {\n    if (size % i === 0) {\n      return i;\n    }\n  }\n  return size;\n}\n\nexport function computeStrides(shape: number[]): number[] {\n  const rank = shape.length;\n  if (rank < 2) {\n    return [];\n  }\n\n  // Last dimension has implicit stride of 1, thus having D-1 (instead of D)\n  // strides.\n  const strides = new Array(rank - 1);\n  strides[rank - 2] = shape[rank - 1];\n  for (let i = rank - 3; i >= 0; --i) {\n    strides[i] = strides[i + 1] * shape[i + 1];\n  }\n  return strides;\n}\n\nexport function toTypedArray(\n    a: TensorLike, dtype: DataType, debugMode: boolean): TypedArray {\n  if (dtype === 'string') {\n    throw new Error('Cannot convert a string[] to a TypedArray');\n  }\n  if (Array.isArray(a)) {\n    a = flatten(a);\n  }\n  if (debugMode) {\n    checkConversionForErrors(a as number[], dtype);\n  }\n  if (noConversionNeeded(a, dtype)) {\n    return a as TypedArray;\n  }\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(a as number[]);\n  } else if (dtype === 'int32') {\n    return new Int32Array(a as number[]);\n  } else if (dtype === 'bool') {\n    const bool = new Uint8Array((a as number[]).length);\n    for (let i = 0; i < bool.length; ++i) {\n      if (Math.round((a as number[])[i]) !== 0) {\n        bool[i] = 1;\n      }\n    }\n    return bool;\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\nfunction createNestedArray(offset: number, shape: number[], a: TypedArray) {\n  const ret = new Array();\n  if (shape.length === 1) {\n    const d = shape[0];\n    for (let i = 0; i < d; i++) {\n      ret[i] = a[offset + i];\n    }\n  } else {\n    const d = shape[0];\n    const rest = shape.slice(1);\n    const len = rest.reduce((acc, c) => acc * c);\n    for (let i = 0; i < d; i++) {\n      ret[i] = createNestedArray(offset + i * len, rest, a);\n    }\n  }\n  return ret;\n}\n\n// Provide a nested array of TypedArray in given shape.\nexport function toNestedArray(shape: number[], a: TypedArray) {\n  if (shape.length === 0) {\n    // Scalar type should return a single number.\n    return a[0];\n  }\n  const size = shape.reduce((acc, c) => acc * c);\n  if (size === 0) {\n    // A tensor with shape zero should be turned into empty list.\n    return [];\n  }\n  if (size !== a.length) {\n    throw new Error(`[${shape}] does not match the input size.`);\n  }\n\n  return createNestedArray(0, shape, a);\n}\n\nfunction noConversionNeeded(a: TensorLike, dtype: DataType): boolean {\n  return (a instanceof Float32Array && dtype === 'float32') ||\n      (a instanceof Int32Array && dtype === 'int32') ||\n      (a instanceof Uint8Array && dtype === 'bool');\n}\n\nexport function makeOnesTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  const array = makeZerosTypedArray(size, dtype);\n  for (let i = 0; i < array.length; i++) {\n    array[i] = 1;\n  }\n  return array;\n}\n\nexport function makeZerosTypedArray<D extends DataType>(\n    size: number, dtype: D): DataTypeMap[D] {\n  if (dtype == null || dtype === 'float32' || dtype === 'complex64') {\n    return new Float32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'int32') {\n    return new Int32Array(size) as DataTypeMap[D];\n  } else if (dtype === 'bool') {\n    return new Uint8Array(size) as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\n\n/**\n * Returns the current high-resolution time in milliseconds relative to an\n * arbitrary time in the past. It works across different platforms (node.js,\n * browsers).\n *\n * ```js\n * console.log(tf.util.now());\n * ```\n */\n/** @doc {heading: 'Util', namespace: 'util'} */\nexport function now(): number {\n  return env().platform.now();\n}\n\nexport function assertNonNegativeIntegerDimensions(shape: number[]) {\n  shape.forEach(dimSize => {\n    assert(\n        Number.isInteger(dimSize) && dimSize >= 0,\n        () =>\n            `Tensor must have a shape comprised of positive integers but got ` +\n            `shape [${shape}].`);\n  });\n}\n\n/**\n * Returns a platform-specific implementation of\n * [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n *\n * If `fetch` is defined on the global object (`window`, `process`, etc.),\n * `tf.util.fetch` returns that function.\n *\n * If not, `tf.util.fetch` returns a platform-specific solution.\n *\n * ```js\n * const resource = await tf.util.fetch('https://unpkg.com/@tensorflow/tfjs');\n * // handle response\n * ```\n */\n/** @doc {heading: 'Util'} */\nexport function fetch(\n    path: string, requestInits?: RequestInit): Promise<Response> {\n  return env().platform.fetch(path, requestInits);\n}\n\n/**\n * Encodes the provided string into bytes using the provided encoding scheme.\n *\n * @param s The string to encode.\n * @param encoding The encoding scheme. Defaults to utf-8.\n *\n */\n/** @doc {heading: 'Util'} */\nexport function encodeString(s: string, encoding = 'utf-8'): Uint8Array {\n  encoding = encoding || 'utf-8';\n  return env().platform.encode(s, encoding);\n}\n\n/**\n * Decodes the provided bytes into a string using the provided encoding scheme.\n * @param bytes The bytes to decode.\n *\n * @param encoding The encoding scheme. Defaults to utf-8.\n */\n/** @doc {heading: 'Util'} */\nexport function decodeString(bytes: Uint8Array, encoding = 'utf-8'): string {\n  encoding = encoding || 'utf-8';\n  return env().platform.decode(bytes, encoding);\n}\n\n/**\n * Computes flat index for a given location (multidimentionsal index) in a\n * Tensor/multidimensional array.\n *\n * @param locs Location in the tensor.\n * @param rank Rank of the tensor.\n * @param strides Tensor strides.\n */\nexport function locToIndex(\n    locs: number[], rank: number, strides: number[]): number {\n  if (rank === 0) {\n    return 0;\n  } else if (rank === 1) {\n    return locs[0];\n  }\n  let index = locs[locs.length - 1];\n  for (let i = 0; i < locs.length - 1; ++i) {\n    index += strides[i] * locs[i];\n  }\n  return index;\n}\n\n/**\n * Computes the location (multidimensional index) in a tensor/multidimentional\n * array for a given flat index.\n *\n * @param index Index in flat array.\n * @param rank Rank of tensor.\n * @param strides Strides of tensor.\n */\nexport function indexToLoc(\n    index: number, rank: number, strides: number[]): number[] {\n  if (rank === 0) {\n    return [];\n  } else if (rank === 1) {\n    return [index];\n  }\n  const locs: number[] = new Array(rank);\n  for (let i = 0; i < locs.length - 1; ++i) {\n    locs[i] = Math.floor(index / strides[i]);\n    index -= locs[i] * strides[i];\n  }\n  locs[locs.length - 1] = index;\n  return locs;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimer} from './backends/backend';\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {DataType, DataTypeMap, TypedArray} from './types';\nimport * as util from './util';\n\nexport class Profiler {\n  constructor(private backendTimer: BackendTimer, private logger?: Logger) {\n    if (logger == null) {\n      this.logger = new Logger();\n    }\n  }\n\n  profileKernel(kernelName: string, inputs: NamedTensorMap, f: () => Tensor[]):\n      Tensor[] {\n    let outputs: Tensor[];\n    const holdResultWrapperFn = () => {\n      outputs = f();\n    };\n    const timer = this.backendTimer.time(holdResultWrapperFn);\n\n    outputs.forEach(r => {\n      // Dangling promise here because we don't want to propagate up\n      // asynchronicity.\n      r.data().then(vals => {\n        checkComputationForErrors(vals, r.dtype, kernelName);\n\n        timer.then(timing => {\n          let extraInfo = '';\n          if (timing.getExtraProfileInfo != null) {\n            extraInfo = timing.getExtraProfileInfo();\n          }\n\n          this.logger.logKernelProfile(\n              kernelName, r, vals, timing.kernelMs, inputs, extraInfo);\n        });\n      });\n    });\n\n    return outputs;\n  }\n}\n\nexport function checkComputationForErrors<D extends DataType>(\n    vals: DataTypeMap[D], dtype: D, kernelName: string): boolean {\n  if (dtype !== 'float32') {\n    // Only floating point computations will generate NaN values\n    return false;\n  }\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      // Throwing custom exception so behavior is testable.\n      console.warn(`Found ${num} in the result of '${kernelName}'`);\n      return true;\n    }\n  }\n  return false;\n}\n\nexport class Logger {\n  logKernelProfile(\n      name: string, result: Tensor, vals: TypedArray,\n      timeMs: number|{error: string}, inputs: NamedTensorMap,\n      extraInfo?: string) {\n    const time = typeof timeMs === 'number' ? util.rightPad(`${timeMs}ms`, 9) :\n                                              timeMs['error'];\n    const paddedName = util.rightPad(name, 25);\n    const rank = result.rank;\n    const size = result.size;\n    const shape = util.rightPad(result.shape.toString(), 14);\n    let inputShapesDescription = '';\n\n    for (const name in inputs) {\n      const input = inputs[name];\n      // The input might be a non-tensor (e.g HTMLImageElement), in which case\n      // we claim the output shape as input shape.\n      const inputShape = input.shape || result.shape;\n      const inputRank = inputShape.length;\n      inputShapesDescription +=\n          `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;\n    }\n\n    console.log(\n        `%c${paddedName}\\t%c${time}\\t%c${rank}D ${shape}\\t%c${size}\\t%c${\n            inputShapesDescription}\\t%c${extraInfo}`,\n        'font-weight:bold', 'color:red', 'color:blue', 'color: orange',\n        'color: green', 'color: steelblue');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, TypedArray} from './types';\nimport {computeStrides, isString, rightPad, sizeFromShape} from './util';\n\n// Maximum number of values before we decide to show ellipsis.\nconst FORMAT_LIMIT_NUM_VALS = 20;\n// Number of first and last values to show when displaying a, b,...,y, z.\nconst FORMAT_NUM_FIRST_LAST_VALS = 3;\n// Number of significant digits to show.\nconst FORMAT_NUM_SIG_DIGITS = 7;\n\nexport function tensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    verbose: boolean) {\n  const strides = computeStrides(shape);\n  const padPerCol = computeMaxSizePerColumn(vals, shape, dtype, strides);\n  const rank = shape.length;\n  const valsLines = subTensorToString(vals, shape, dtype, strides, padPerCol);\n  const lines = ['Tensor'];\n  if (verbose) {\n    lines.push(`  dtype: ${dtype}`);\n    lines.push(`  rank: ${rank}`);\n    lines.push(`  shape: [${shape}]`);\n    lines.push(`  values:`);\n  }\n  lines.push(valsLines.map(l => '    ' + l).join('\\n'));\n  return lines.join('\\n');\n}\n\nfunction computeMaxSizePerColumn(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[]): number[] {\n  const n = sizeFromShape(shape);\n  const numCols = strides[strides.length - 1];\n  const padPerCol = new Array(numCols).fill(0);\n  const rank = shape.length;\n  const valuesOrTuples =\n      dtype === 'complex64' ? createComplexTuples(vals) : vals;\n\n  if (rank > 1) {\n    for (let row = 0; row < n / numCols; row++) {\n      const offset = row * numCols;\n      for (let j = 0; j < numCols; j++) {\n        padPerCol[j] = Math.max(\n            padPerCol[j],\n            valToString(valuesOrTuples[offset + j], 0, dtype).length);\n      }\n    }\n  }\n  return padPerCol;\n}\n\nfunction valToString(\n    val: number|string|[number, number], pad: number, dtype: DataType) {\n  let valStr: string;\n  if (Array.isArray(val)) {\n    valStr = `${parseFloat(val[0].toFixed(FORMAT_NUM_SIG_DIGITS))} + ` +\n        `${parseFloat(val[1].toFixed(FORMAT_NUM_SIG_DIGITS))}j`;\n  } else if (isString(val)) {\n    valStr = `'${val}'`;\n  } else if (dtype === 'bool') {\n    valStr = boolNumToString(val);\n  } else {\n    valStr = parseFloat(val.toFixed(FORMAT_NUM_SIG_DIGITS)).toString();\n  }\n\n  return rightPad(valStr, pad);\n}\n\nfunction boolNumToString(v: number): string {\n  return v === 0 ? 'false' : 'true';\n}\n\nfunction subTensorToString(\n    vals: TypedArray|string[], shape: number[], dtype: DataType,\n    strides: number[], padPerCol: number[], isLast = true): string[] {\n  const storagePerElement = dtype === 'complex64' ? 2 : 1;\n\n  const size = shape[0];\n  const rank = shape.length;\n  if (rank === 0) {\n    if (dtype === 'complex64') {\n      const complexTuple = createComplexTuples(vals);\n      return [valToString(complexTuple[0], 0, dtype)];\n    }\n    if (dtype === 'bool') {\n      return [boolNumToString(vals[0] as number)];\n    }\n    return [vals[0].toString()];\n  }\n\n  if (rank === 1) {\n    if (size > FORMAT_LIMIT_NUM_VALS) {\n      const firstValsSize = FORMAT_NUM_FIRST_LAST_VALS * storagePerElement;\n\n      let firstVals = Array.from<number|string|[number, number]>(\n          vals.slice(0, firstValsSize));\n      let lastVals = Array.from<number|string|[number, number]>(vals.slice(\n          (size - FORMAT_NUM_FIRST_LAST_VALS) * storagePerElement,\n          size * storagePerElement));\n      if (dtype === 'complex64') {\n        firstVals = createComplexTuples(firstVals);\n        lastVals = createComplexTuples(lastVals);\n      }\n      return [\n        '[' +\n        firstVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n            .join(', ') +\n        ', ..., ' +\n        lastVals\n            .map(\n                (x, i) => valToString(\n                    x, padPerCol[size - FORMAT_NUM_FIRST_LAST_VALS + i], dtype))\n            .join(', ') +\n        ']'\n      ];\n    }\n    const displayVals: Array<number|string|[number, number]> =\n        dtype === 'complex64' ? createComplexTuples(vals) :\n                                Array.from<number|string>(vals);\n\n    return [\n      '[' +\n      displayVals.map((x, i) => valToString(x, padPerCol[i], dtype))\n          .join(', ') +\n      ']'\n    ];\n  }\n\n  // The array is rank 2 or more.\n  const subshape = shape.slice(1);\n  const substrides = strides.slice(1);\n  const stride = strides[0] * storagePerElement;\n  const lines: string[] = [];\n  if (size > FORMAT_LIMIT_NUM_VALS) {\n    for (let i = 0; i < FORMAT_NUM_FIRST_LAST_VALS; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          false /* isLast */));\n    }\n    lines.push('...');\n    for (let i = size - FORMAT_NUM_FIRST_LAST_VALS; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  } else {\n    for (let i = 0; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(\n          vals.slice(start, end), subshape, dtype, substrides, padPerCol,\n          i === size - 1 /* isLast */));\n    }\n  }\n  const sep = rank === 2 ? ',' : '';\n  lines[0] = '[' + lines[0] + sep;\n  for (let i = 1; i < lines.length - 1; i++) {\n    lines[i] = ' ' + lines[i] + sep;\n  }\n  let newLineSep = ',\\n';\n  for (let i = 2; i < rank; i++) {\n    newLineSep += '\\n';\n  }\n  lines[lines.length - 1] =\n      ' ' + lines[lines.length - 1] + ']' + (isLast ? '' : newLineSep);\n  return lines;\n}\n\nfunction createComplexTuples(vals: Array<{}>|\n                             TypedArray): Array<[number, number]> {\n  const complexTuples: Array<[number, number]> = [];\n  for (let i = 0; i < vals.length; i += 2) {\n    complexTuples.push([vals[i], vals[i + 1]] as [number, number]);\n  }\n  return complexTuples;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensorToString} from './tensor_format';\nimport {ArrayMap, BackendValues, DataType, DataTypeMap, DataValues, NumericDataType, Rank, ShapeMap, SingleValueMap, TensorLike, TensorLike1D, TensorLike3D, TensorLike4D, TypedArray} from './types';\nimport * as util from './util';\nimport {computeStrides, toNestedArray} from './util';\n\nexport interface TensorData<D extends DataType> {\n  dataId?: DataId;\n  values?: DataTypeMap[D];\n}\n\n// This interface mimics KernelBackend (in backend.ts), which would create a\n// circular dependency if imported.\nexport interface Backend {}\n\n/**\n * A mutable object, similar to `tf.Tensor`, that allows users to set values\n * at locations before converting to an immutable `tf.Tensor`.\n *\n * See `tf.buffer` for creating a tensor buffer.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class TensorBuffer<R extends Rank, D extends DataType = 'float32'> {\n  size: number;\n  shape: ShapeMap[R];\n  strides: number[];\n  values: DataTypeMap[D];\n\n  constructor(shape: ShapeMap[R], public dtype: D, values?: DataTypeMap[D]) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.size = util.sizeFromShape(shape);\n\n    if (values != null) {\n      const n = values.length;\n      util.assert(\n          n === this.size,\n          () => `Length of values '${n}' does not match the size ` +\n              `inferred by the shape '${this.size}'.`);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `complex64 dtype TensorBuffers are not supported. Please create ` +\n          `a TensorBuffer for the real and imaginary parts separately and ` +\n          `call tf.complex(real, imag).`);\n    }\n    this.values = values || util.getArrayFromDType(dtype, this.size);\n    this.strides = computeStrides(shape);\n  }\n\n  /**\n   * Sets a value in the buffer at a given location.\n   *\n   * @param value The value to set.\n   * @param locs  The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  set(value: SingleValueMap[D], ...locs: number[]): void {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    util.assert(\n        locs.length === this.rank,\n        () => `The number of provided coordinates (${locs.length}) must ` +\n            `match the rank (${this.rank})`);\n\n    const index = this.locToIndex(locs);\n    this.values[index] = value as number;\n  }\n\n  /**\n   * Returns the value in the buffer at the provided location.\n   *\n   * @param locs The location indices.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  get(...locs: number[]): SingleValueMap[D] {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    let i = 0;\n    for (const loc of locs) {\n      if (loc < 0 || loc >= this.shape[i]) {\n        const msg = `Requested out of range element at ${locs}. ` +\n            `  Buffer shape=${this.shape}`;\n        throw new Error(msg);\n      }\n      i++;\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return this.values[index] as SingleValueMap[D];\n  }\n\n  locToIndex(locs: number[]): number {\n    if (this.rank === 0) {\n      return 0;\n    } else if (this.rank === 1) {\n      return locs[0];\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return index;\n  }\n\n  indexToLoc(index: number): number[] {\n    if (this.rank === 0) {\n      return [];\n    } else if (this.rank === 1) {\n      return [index];\n    }\n    const locs: number[] = new Array(this.shape.length);\n    for (let i = 0; i < locs.length - 1; ++i) {\n      locs[i] = Math.floor(index / this.strides[i]);\n      index -= locs[i] * this.strides[i];\n    }\n    locs[locs.length - 1] = index;\n    return locs;\n  }\n\n  get rank() {\n    return this.shape.length;\n  }\n\n  /**\n   * Creates an immutable `tf.Tensor` object from the buffer.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Creation'} */\n  toTensor(): Tensor<R> {\n    return trackerFn().makeTensor(this.values, this.shape, this.dtype) as\n        Tensor<R>;\n  }\n}\n\nexport interface TensorTracker {\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: Backend): Tensor;\n  makeVariable(\n      initialValue: Tensor, trainable?: boolean, name?: string,\n      dtype?: DataType): Variable;\n  incRef(a: Tensor, backend: Backend): void;\n  disposeTensor(t: Tensor): void;\n  disposeVariable(v: Variable): void;\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n}\n\n/**\n * The Tensor class calls into this handler to delegate chaining operations.\n */\nexport interface OpHandler {\n  cast<T extends Tensor>(x: T, dtype: DataType): T;\n  buffer<R extends Rank, D extends DataType>(\n      shape: ShapeMap[R], dtype: D,\n      values?: DataTypeMap[D]): TensorBuffer<R, D>;\n  print<T extends Tensor>(x: T, verbose: boolean): void;\n  reshape<R2 extends Rank>(x: Tensor, shape: ShapeMap[R2]): Tensor<R2>;\n  expandDims<R2 extends Rank>(x: Tensor, axis: number): Tensor<R2>;\n  cumsum<T extends Tensor>(\n      x: Tensor, axis: number, exclusive: boolean, reverse: boolean): T;\n  squeeze<T extends Tensor>(x: Tensor, axis?: number[]): T;\n  clone<T extends Tensor>(x: T): T;\n  gather<T extends Tensor>(x: T, indices: Tensor|TensorLike, axis: number): T;\n  matMul<T extends Tensor>(\n      a: T, b: T|TensorLike, transposeA: boolean, transposeB: boolean): T;\n  dot(t1: Tensor, t2: Tensor|TensorLike): Tensor;\n  norm(\n      x: Tensor, ord: number|'euclidean'|'fro', axis: number|number[],\n      keepDims: boolean): Tensor;\n  slice<R extends Rank, T extends Tensor<R>>(\n      x: T, begin: number|number[], size?: number|number[]): T;\n  split<T extends Tensor>(\n      x: T, numOrSizeSplits: number[]|number, axis?: number): T[];\n  reverse<T extends Tensor>(x: T, axis?: number|number[]): T;\n  concat<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): T;\n  stack<T extends Tensor>(tensors: Array<T|TensorLike>, axis: number): Tensor;\n  unstack<T extends Tensor>(value: T, axis: number): Tensor[];\n  all<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  any<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  logSumExp<T extends Tensor>(\n      x: Tensor, axis: number|number[], keepDims: boolean): T;\n  sum<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  prod<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  mean<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean):\n      T;\n  min<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  max<T extends Tensor>(x: Tensor, axis: number|number[], keepDims: boolean): T;\n  argMin<T extends Tensor>(x: Tensor, axis: number): T;\n  argMax<T extends Tensor>(x: Tensor, axis: number): T;\n  addStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  atan2<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  sub<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  subStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  pow<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  powStrict<T extends Tensor>(base: T, exp: Tensor|TensorLike): T;\n  mul<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  mulStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  floorDiv<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  divStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  mod<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  modStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  minimum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  minimumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  maximum<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  maximumStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  squaredDifferenceStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  logicalNot<T extends Tensor>(x: T): T;\n  logicalAnd<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalOr<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  logicalXor<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  where<T extends Tensor>(condition: Tensor|TensorLike, a: T, b: T|TensorLike):\n      T;\n  notEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  notEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  less<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  equal<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  equalStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  lessEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  lessEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greater<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  greaterEqual<T extends Tensor>(a: Tensor, b: Tensor|TensorLike): T;\n  greaterEqualStrict<T extends Tensor>(a: T, b: T|TensorLike): T;\n  neg<T extends Tensor>(x: T): T;\n  ceil<T extends Tensor>(x: T): T;\n  floor<T extends Tensor>(x: T): T;\n  sign<T extends Tensor>(x: T): T;\n  isNaN<T extends Tensor>(x: T): T;\n  isInf<T extends Tensor>(x: T): T;\n  isFinite<T extends Tensor>(x: T): T;\n  round<T extends Tensor>(x: T): T;\n  exp<T extends Tensor>(x: T): T;\n  expm1<T extends Tensor>(x: T): T;\n  log<T extends Tensor>(x: T): T;\n  log1p<T extends Tensor>(x: T): T;\n  sqrt<T extends Tensor>(x: T): T;\n  rsqrt<T extends Tensor>(x: T): T;\n  square<T extends Tensor>(x: T): T;\n  reciprocal<T extends Tensor>(x: T): T;\n  abs<T extends Tensor>(x: T): T;\n  clipByValue<T extends Tensor>(\n      x: T, clipValueMin: number, clipValueMax: number): T;\n  sigmoid<T extends Tensor>(x: T): T;\n  logSigmoid<T extends Tensor>(x: T): T;\n  softplus<T extends Tensor>(x: T): T;\n  zerosLike<T extends Tensor>(x: T): T;\n  onesLike<T extends Tensor>(x: T): T;\n  sin<T extends Tensor>(x: T): T;\n  cos<T extends Tensor>(x: T): T;\n  tan<T extends Tensor>(x: T): T;\n  asin<T extends Tensor>(x: T): T;\n  acos<T extends Tensor>(x: T): T;\n  atan<T extends Tensor>(x: T): T;\n  sinh<T extends Tensor>(x: T): T;\n  cosh<T extends Tensor>(x: T): T;\n  tanh<T extends Tensor>(x: T): T;\n  asinh<T extends Tensor>(x: T): T;\n  acosh<T extends Tensor>(x: T): T;\n  atanh<T extends Tensor>(x: T): T;\n  erf<T extends Tensor>(x: T): T;\n  step<T extends Tensor>(x: T, alpha: number): T;\n  relu<T extends Tensor>(x: T): T;\n  relu6<T extends Tensor>(x: T): T;\n  elu<T extends Tensor>(x: T): T;\n  selu<T extends Tensor>(x: T): T;\n  leakyRelu<T extends Tensor>(x: T, alpha: number): T;\n  prelu<T extends Tensor>(x: T, alpha: T|TensorLike): T;\n  softmax<T extends Tensor>(logits: T, dim: number): T;\n  logSoftmax<T extends Tensor>(logits: T, axis: number): T;\n  image: {\n    resizeBilinear<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n    resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n        images: T, size: [number, number], alignCorners: boolean): T;\n  };\n  conv1d<T extends Tensor2D|Tensor3D>(\n      x: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW', dilation: number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  depthwiseConv2d<T extends Tensor3D|Tensor4D>(\n      x: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW',\n      dilations: [number, number]|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number,\n      dataFormat: 'NHWC'|'NCHW'): T;\n  maxPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  avgPool<T extends Tensor3D|Tensor4D>(\n      x: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T;\n  pool<T extends Tensor3D|Tensor4D>(\n      input: T, windowShape: [number, number]|number, poolingType: 'avg'|'max',\n      padding: 'valid'|'same'|number, diationRate?: [number, number]|number,\n      strides?: [number, number]|number): T;\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      x: T, depthRadius: number, bias: number, alpha: number, beta: number): T;\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T;\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T;\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T;\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean):\n      {values: T, indices: T};\n  stridedSlice(\n      x: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask: number, endMask: number, ellipsisMask: number,\n      newAxisMask: number, shrinkAxisMask: number): Tensor;\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D;\n  spectral: {\n    fft(x: Tensor): Tensor; ifft(x: Tensor): Tensor; rfft(x: Tensor): Tensor;\n    irfft(x: Tensor): Tensor\n  };\n}\n\n// For tracking tensor creation and disposal.\nlet trackerFn: () => TensorTracker = null;\n// Used by chaining methods to call into ops.\nlet opHandler: OpHandler = null;\n// Used to warn about deprecated methods.\nlet deprecationWarningFn: (msg: string) => void = null;\n// This here so that we can use this method on dev branches and keep the\n// functionality at master.\n// tslint:disable-next-line:no-unused-expression\n[deprecationWarningFn];\n\n/**\n * An external consumer can register itself as the tensor tracker. This way\n * the Tensor class can notify the tracker for every tensor created and\n * disposed.\n */\nexport function setTensorTracker(fn: () => TensorTracker) {\n  trackerFn = fn;\n}\n\n/**\n * An external consumer can register itself as the op handler. This way the\n * Tensor class can have chaining methods that call into ops via the op\n * handler.\n */\nexport function setOpHandler(handler: OpHandler) {\n  opHandler = handler;\n}\n\n/**\n * Sets the deprecation warning function to be used by this file. This way the\n * Tensor class can be a leaf but still use the environment.\n */\nexport function setDeprecationWarningFn(fn: (msg: string) => void) {\n  deprecationWarningFn = fn;\n}\n\n/**\n * We wrap data id since we use weak map to avoid memory leaks.\n * Since we have our own memory management, we have a reference counter\n * mapping a tensor to its data, so there is always a pointer (even if that\n * data is otherwise garbage collectable).\n * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/\n * Global_Objects/WeakMap\n */\nexport type DataId = object;  // object instead of {} to force non-primitive.\n\n// Declare this namespace to make Tensor class augmentation work in google3.\nexport declare namespace Tensor {}\n/**\n * A `tf.Tensor` object represents an immutable, multidimensional array of\n * numbers that has a shape and a data type.\n *\n * See `tf.tensor` for details on how to create a `tf.Tensor`.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Tensor<R extends Rank = Rank> {\n  /** Unique id of this tensor. */\n  readonly id: number;\n  /**\n   * Id of the bucket holding the data for this tensor. Multiple arrays can\n   * point to the same bucket (e.g. when calling array.reshape()).\n   */\n  dataId: DataId;\n  /** The shape of the tensor. */\n  readonly shape: ShapeMap[R];\n  /** Number of elements in the tensor. */\n  readonly size: number;\n  /** The data type for the array. */\n  readonly dtype: DataType;\n  /** The rank type for the array (see `Rank` enum). */\n  readonly rankType: R;\n\n  /** Whether this tensor has been globally kept. */\n  kept = false;\n  /** The id of the scope this tensor is being tracked in. */\n  scopeId: number;\n\n  /**\n   * Number of elements to skip in each dimension when indexing. See\n   * https://docs.scipy.org/doc/numpy/reference/generated/\\\n   * numpy.ndarray.strides.html\n   */\n  readonly strides: number[];\n\n  constructor(shape: ShapeMap[R], dtype: DataType, dataId: DataId, id: number) {\n    this.shape = shape.slice() as ShapeMap[R];\n    this.dtype = dtype || 'float32';\n    this.size = util.sizeFromShape(shape);\n    this.strides = computeStrides(shape);\n    this.dataId = dataId;\n    this.id = id;\n    this.rankType = (this.rank < 5 ? this.rank.toString() : 'higher') as R;\n  }\n\n  /** Flatten a Tensor to a 1D array. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  flatten(): Tensor1D {\n    this.throwIfDisposed();\n    return this.as1D();\n  }\n\n  /** Converts a size-1 `tf.Tensor` to a `tf.Scalar`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asScalar(): Scalar {\n    this.throwIfDisposed();\n    util.assert(this.size === 1, () => 'The array must have only 1 element.');\n    return this.reshape<Rank.R0>([]);\n  }\n\n  /** Converts a `tf.Tensor` to a `tf.Tensor1D`. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as1D(): Tensor1D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R1>([this.size]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor2D`.\n   *\n   * @param rows Number of rows in `tf.Tensor2D`.\n   * @param columns Number of columns in `tf.Tensor2D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as2D(rows: number, columns: number): Tensor2D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R2>([rows, columns]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor3D`.\n   *\n   * @param rows Number of rows in `tf.Tensor3D`.\n   * @param columns Number of columns in `tf.Tensor3D`.\n   * @param depth Depth of `tf.Tensor3D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as3D(rows: number, columns: number, depth: number): Tensor3D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R3>([rows, columns, depth]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor4D`.\n   *\n   * @param rows Number of rows in `tf.Tensor4D`.\n   * @param columns Number of columns in `tf.Tensor4D`.\n   * @param depth Depth of `tf.Tensor4D`.\n   * @param depth2 4th dimension of `tf.Tensor4D`.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as4D(rows: number, columns: number, depth: number, depth2: number): Tensor4D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R4>([rows, columns, depth, depth2]);\n  }\n\n  /**\n   * Converts a `tf.Tensor` to a `tf.Tensor5D`.\n   *\n   * @param rows Number of rows in `tf.Tensor5D`.\n   * @param columns Number of columns in `tf.Tensor5D`.\n   * @param depth Depth of `tf.Tensor5D`.\n   * @param depth2 4th dimension of `tf.Tensor5D`.\n   * @param depth3 5th dimension of 'tf.Tensor5D'\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  as5D(\n      rows: number, columns: number, depth: number, depth2: number,\n      depth3: number): Tensor5D {\n    this.throwIfDisposed();\n    return this.reshape<Rank.R5>([rows, columns, depth, depth2, depth3]);\n  }\n\n  /**\n   * Casts a `tf.Tensor` to a specified dtype.\n   *\n   * @param dtype Data-type to cast the tensor to.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  asType<T extends this>(this: T, dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this, dtype);\n  }\n\n  get rank(): number {\n    return this.shape.length;\n  }\n\n  /**\n   * Returns a promise of `tf.TensorBuffer` that holds the underlying data.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async buffer<D extends DataType = 'float32'>(): Promise<TensorBuffer<R, D>> {\n    const vals = await this.data<D>();\n    return opHandler.buffer(this.shape, this.dtype as D, vals);\n  }\n\n  /** Returns a `tf.TensorBuffer` that holds the underlying data. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  bufferSync<D extends DataType = 'float32'>(): TensorBuffer<R, D> {\n    return opHandler.buffer(this.shape, this.dtype as D, this.dataSync());\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * asynchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async array(): Promise<ArrayMap[R]> {\n    const vals = await this.data();\n    return toNestedArray(this.shape, vals) as ArrayMap[R];\n  }\n\n  /**\n   * Returns the tensor data as a nested array. The transfer of data is done\n   * synchronously.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  arraySync(): ArrayMap[R] {\n    return toNestedArray(this.shape, this.dataSync()) as ArrayMap[R];\n  }\n\n  /**\n   * Asynchronously downloads the values from the `tf.Tensor`. Returns a\n   * promise of `TypedArray` that resolves when the computation has finished.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  async data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]> {\n    this.throwIfDisposed();\n    const data = trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      const bytes = await data as Uint8Array[];\n      try {\n        return bytes.map(b => util.decodeString(b)) as DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as Promise<DataTypeMap[D]>;\n  }\n\n  /**\n   * Synchronously downloads the values from the `tf.Tensor`. This blocks the\n   * UI thread until the values are ready, which can cause performance issues.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D] {\n    this.throwIfDisposed();\n    const data = trackerFn().readSync(this.dataId);\n    if (this.dtype === 'string') {\n      try {\n        return (data as Uint8Array[]).map(b => util.decodeString(b)) as\n            DataTypeMap[D];\n      } catch {\n        throw new Error(\n            'Failed to decode the string bytes into utf-8. ' +\n            'To get the original bytes, call tensor.bytes().');\n      }\n    }\n    return data as DataTypeMap[D];\n  }\n\n  /** Returns the underlying bytes of the tensor's data. */\n  async bytes(): Promise<Uint8Array[]|Uint8Array> {\n    this.throwIfDisposed();\n    const data = await trackerFn().read(this.dataId);\n    if (this.dtype === 'string') {\n      return data as Uint8Array[];\n    } else {\n      return new Uint8Array((data as TypedArray).buffer);\n    }\n  }\n\n  /**\n   * Disposes `tf.Tensor` from memory.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  dispose(): void {\n    if (this.isDisposed) {\n      return;\n    }\n    trackerFn().disposeTensor(this);\n    this.isDisposedInternal = true;\n  }\n\n  protected isDisposedInternal = false;\n  get isDisposed(): boolean {\n    return this.isDisposedInternal;\n  }\n\n  private throwIfDisposed() {\n    if (this.isDisposed) {\n      throw new Error(`Tensor is disposed.`);\n    }\n  }\n\n  /** Casts the array to type `float32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toFloat<T extends this>(this: T): T {\n    return this.asType('float32');\n  }\n\n  /** Casts the array to type `int32` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toInt() {\n    return this.asType('int32');\n  }\n\n  /** Casts the array to type `bool` */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toBool() {\n    return this.asType('bool');\n  }\n\n  /**\n   * Prints the `tf.Tensor`. See `tf.print` for details.\n   *\n   * @param verbose Whether to print verbose information about the tensor,\n   *    including dtype and size.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  print(verbose = false): void {\n    return opHandler.print(this, verbose);\n  }\n\n  /**\n   * Reshapes the tensor into the provided shape.\n   * See `tf.reshape` for more details.\n   *\n   * @param newShape An array of integers defining the output tensor shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshape<R2 extends Rank>(newShape: ShapeMap[R2]): Tensor<R2> {\n    this.throwIfDisposed();\n    return opHandler.reshape(this, newShape);\n  }\n\n  /**\n   * Reshapes the tensor into the shape of the provided tensor.\n   *\n   * @param x The tensor of required shape.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  reshapeAs<T extends Tensor>(x: T): T {\n    this.throwIfDisposed();\n    return this.reshape(x.shape) as T;\n  }\n\n  /**\n   * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n   * into the tensor's shape. See `tf.expandDims` for details.\n   *\n   * @param axis The dimension index at which to insert shape of 1. Defaults to\n   *     0 (the first dimension).\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  expandDims<R2 extends Rank>(axis = 0): Tensor<R2> {\n    return opHandler.expandDims(this, axis);\n  }\n\n  /**\n   * Returns the cumulative sum of the `tf.Tensor` along `axis`.\n   *\n   * @param axis The axis along which to sum. Optional. Defaults to 0.\n   * @param exclusive Whether to perform exclusive cumulative sum. Defaults to\n   *    false. If set to true then the sum of each tensor entry does not\n   * include its own value, but only the values previous to it along the\n   * specified axis.\n   * @param reverse Whether to sum in the opposite direction. Defaults to\n   *    false.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  cumsum<T extends Tensor>(axis = 0, exclusive = false, reverse = false): T {\n    return opHandler.cumsum(this, axis, exclusive, reverse);\n  }\n\n  /**\n   * Returns a `tf.Tensor` with dimensions of size 1 removed from the shape.\n   * See `tf.squeeze` for more details.\n   *\n   * @param axis A list of numbers. If specified, only squeezes the\n   *    dimensions listed. The dimension index starts at 0. It is an error to\n   *    squeeze a dimension that is not 1.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  squeeze<T extends Tensor>(axis?: number[]): T {\n    this.throwIfDisposed();\n    return opHandler.squeeze(this, axis);\n  }\n\n  /** Returns a copy of the tensor. See `tf.clone` for details. */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  clone<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.clone(this);\n  }\n\n  /**\n   * Returns a human-readable description of the tensor. Useful for logging.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  toString(verbose = false): string {\n    const vals = this.dataSync();\n    return tensorToString(vals, this.shape, this.dtype, verbose);\n  }\n\n  // Below is chain API that is not exposed to docs to avoid repetition. To\n  // expose a method, move it above this comment and add @doc and jsdoc.\n\n  gather<T extends this>(this: T, indices: Tensor|TensorLike, axis = 0): T {\n    this.throwIfDisposed();\n    return opHandler.gather(this, indices, axis);\n  }\n\n  matMul<T extends Tensor>(\n      this: T, b: T|TensorLike, transposeA = false, transposeB = false): T {\n    this.throwIfDisposed();\n    return opHandler.matMul(this, b, transposeA, transposeB);\n  }\n  dot(b: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.dot(this, b);\n  }\n  norm(\n      ord: number|'euclidean'|'fro' = 'euclidean', axis: number|number[] = null,\n      keepDims = false): Tensor {\n    this.throwIfDisposed();\n    return opHandler.norm(this, ord, axis, keepDims);\n  }\n  slice<T extends Tensor<R>>(\n      this: T, begin: number|number[], size?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.slice(this, begin, size);\n  }\n  reverse<T extends Tensor>(this: T, axis?: number|number[]): T {\n    this.throwIfDisposed();\n    return opHandler.reverse(this, axis);\n  }\n  concat<T extends Tensor>(this: T, x: T|Array<T|TensorLike>, axis = 0): T {\n    this.throwIfDisposed();\n    if (x instanceof Tensor) {\n      x = [x];\n    }\n    return opHandler.concat([this, ...x], axis);\n  }\n  split<T extends Tensor>(this: T, numOrSizeSplits: number[]|number, axis = 0):\n      T[] {\n    this.throwIfDisposed();\n    return opHandler.split(this, numOrSizeSplits, axis);\n  }\n  stack(x: Tensor, axis = 0): Tensor {\n    return opHandler.stack([this, x], axis);\n  }\n  unstack(axis = 0): Tensor[] {\n    return opHandler.unstack(this, axis);\n  }\n  /**\n   * @deprecated Use `tf.batchNorm` instead, and note the positional argument\n   *     change of scale, offset, and varianceEpsilon.\n   */\n  batchNormalization(\n      mean: Tensor<R>|Tensor1D|TensorLike,\n      variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n      scale?: Tensor<R>|Tensor1D|TensorLike,\n      offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n    deprecationWarningFn(\n        'tf.batchNormalization() is going away. ' +\n        'Use tf.batchNorm() instead, and note the positional argument change ' +\n        'of scale, offset, and varianceEpsilon');\n    return this.batchNorm(mean, variance, offset, scale, varianceEpsilon);\n  }\n\n  // Reduction ops.\n  all<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.all(this, axis, keepDims);\n  }\n  any<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.any(this, axis, keepDims);\n  }\n  logSumExp<T extends Tensor>(axis: number|number[] = null, keepDims = false):\n      T {\n    this.throwIfDisposed();\n    return opHandler.logSumExp(this, axis, keepDims);\n  }\n  sum<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.sum(this, axis, keepDims);\n  }\n  prod<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.prod(this, axis, keepDims);\n  }\n  mean<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.mean(this, axis, keepDims);\n  }\n  min<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.min(this, axis, keepDims);\n  }\n  max<T extends Tensor>(axis: number|number[] = null, keepDims = false): T {\n    this.throwIfDisposed();\n    return opHandler.max(this, axis, keepDims);\n  }\n  argMin<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMin(this, axis);\n  }\n  argMax<T extends Tensor>(axis: number = null): T {\n    this.throwIfDisposed();\n    return opHandler.argMax(this, axis);\n  }\n\n  // Transformations\n  cast<T extends this>(dtype: DataType): T {\n    this.throwIfDisposed();\n    return opHandler.cast(this as T, dtype);\n  }\n\n  // Binary ops.\n  addStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.addStrict(this, x);\n  }\n  atan2<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.atan2(this, x);\n  }\n  sub<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.sub(this, x);\n  }\n  subStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.subStrict(this, x);\n  }\n  pow<T extends Tensor>(this: T, exp: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.pow(this, exp);\n  }\n  powStrict(exp: Tensor|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.powStrict(this, exp);\n  }\n  mul<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mul(this, x);\n  }\n  mulStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mulStrict(this, x);\n  }\n  floorDiv<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.floorDiv(this, x);\n  }\n  divStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.divStrict(this, x);\n  }\n  minimum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimum(this, x);\n  }\n  minimumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.minimumStrict(this, x);\n  }\n  maximum<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximum(this, x);\n  }\n  maximumStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.maximumStrict(this, x);\n  }\n  mod<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.mod(this, x);\n  }\n  modStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.modStrict(this, x);\n  }\n  squaredDifferenceStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.squaredDifferenceStrict(this, x);\n  }\n\n  // Compare ops.\n\n  notEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqual(this, x);\n  }\n  notEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.notEqualStrict(this, x);\n  }\n  less<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.less(this, x);\n  }\n  lessStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessStrict(this, x);\n  }\n  equal<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equal(this, x);\n  }\n  equalStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.equalStrict(this, x);\n  }\n  lessEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqual(this, x);\n  }\n  lessEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.lessEqualStrict(this, x);\n  }\n  greater<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greater(this, x);\n  }\n  greaterStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterStrict(this, x);\n  }\n  greaterEqual<T extends Tensor>(x: Tensor|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqual(this, x);\n  }\n  greaterEqualStrict<T extends this>(this: T, x: T|TensorLike): T {\n    this.throwIfDisposed();\n    return opHandler.greaterEqualStrict(this, x);\n  }\n\n  // Compare ops.\n  logicalAnd(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalAnd(this, x);\n  }\n  logicalOr(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalOr(this, x);\n  }\n  logicalNot<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logicalNot(this);\n  }\n  logicalXor(x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.logicalXor(this, x);\n  }\n  where(condition: Tensor|TensorLike, x: Tensor|TensorLike): Tensor {\n    this.throwIfDisposed();\n    return opHandler.where(condition, this, x);\n  }\n\n  // Unary ops.\n  neg<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.neg(this);\n  }\n  ceil<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.ceil(this);\n  }\n  floor<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.floor(this);\n  }\n  sign<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sign(this);\n  }\n  isNaN<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isNaN(this);\n  }\n  isInf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isInf(this);\n  }\n  isFinite<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.isFinite(this);\n  }\n  exp<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.exp(this);\n  }\n  expm1<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.expm1(this);\n  }\n  log<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log(this);\n  }\n  log1p<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.log1p(this);\n  }\n  sqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sqrt(this);\n  }\n  rsqrt<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.rsqrt(this);\n  }\n  square<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.square(this);\n  }\n  reciprocal<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.reciprocal(this);\n  }\n  abs<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.abs(this);\n  }\n  clipByValue(min: number, max: number): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.clipByValue(this, min, max);\n  }\n  relu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu(this);\n  }\n  relu6<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.relu6(this);\n  }\n  elu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.elu(this);\n  }\n  selu<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.selu(this);\n  }\n  leakyRelu(alpha = 0.2): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.leakyRelu(this, alpha);\n  }\n  prelu(alpha: Tensor<R>|TensorLike): Tensor<R> {\n    this.throwIfDisposed();\n    return opHandler.prelu(this, alpha);\n  }\n  sigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sigmoid(this);\n  }\n  logSigmoid<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.logSigmoid(this);\n  }\n  softplus<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.softplus(this);\n  }\n  zerosLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.zerosLike(this);\n  }\n  onesLike<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.onesLike(this);\n  }\n  sin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sin(this);\n  }\n  cos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cos(this);\n  }\n  tan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tan(this);\n  }\n  asin<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asin(this);\n  }\n  acos<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acos(this);\n  }\n  atan<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atan(this);\n  }\n  sinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.sinh(this);\n  }\n  cosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.cosh(this);\n  }\n  tanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.tanh(this);\n  }\n  asinh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.asinh(this);\n  }\n  acosh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.acosh(this);\n  }\n  atanh<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.atanh(this);\n  }\n  erf<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.erf(this);\n  }\n  round<T extends Tensor>(this: T): T {\n    this.throwIfDisposed();\n    return opHandler.round(this);\n  }\n  step<T extends Tensor>(this: T, alpha = 0.0): T {\n    this.throwIfDisposed();\n    return opHandler.step(this, alpha);\n  }\n  softmax<T extends this>(this: T, dim = -1): T {\n    this.throwIfDisposed();\n    return opHandler.softmax(this, dim);\n  }\n  logSoftmax<T extends this>(this: T, axis = -1): T {\n    this.throwIfDisposed();\n    return opHandler.logSoftmax(this, axis);\n  }\n\n  // Image ops.\n  resizeBilinear<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeBilinear(this, newShape2D, alignCorners);\n  }\n\n  resizeNearestNeighbor<T extends Tensor3D|Tensor4D>(\n      this: T, newShape2D: [number, number], alignCorners = false): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.image.resizeNearestNeighbor(\n        this, newShape2D, alignCorners);\n  }\n\n  // Convolutions.\n  conv1d<T extends Tensor2D|Tensor3D>(\n      this: T, filter: Tensor3D|TensorLike3D, stride: number,\n      pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv1d(\n        this, filter, stride, pad, dataFormat, dilation, dimRoundingMode);\n  }\n  conv2d<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n  conv2dTranspose<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D,\n      outputShape: [number, number, number, number]|[number, number, number],\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.conv2dTranspose(\n        this, filter, outputShape, strides, pad, dimRoundingMode);\n  }\n  depthwiseConv2D<T extends Tensor3D|Tensor4D>(\n      this: T, filter: Tensor4D|TensorLike4D, strides: [number, number]|number,\n      pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n      dilations: [number, number]|number = [1, 1],\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.depthwiseConv2d(\n        this, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n  }\n\n  separableConv2d<T extends Tensor3D|Tensor4D>(\n      this: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike4D,\n      pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n      pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n      dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.separableConv2d(\n        this, depthwiseFilter, pointwiseFilter, strides, pad, dilation,\n        dataFormat);\n  }\n\n  // Pooling.\n  avgPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.avgPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  maxPool<T extends Tensor3D|Tensor4D>(\n      this: T, filterSize: [number, number]|number,\n      strides: [number, number]|number, pad: 'valid'|'same'|number,\n      dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.maxPool(this, filterSize, strides, pad, dimRoundingMode);\n  }\n  localResponseNormalization<T extends Tensor3D|Tensor4D>(\n      this: T, radius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n    return opHandler.localResponseNormalization(\n        this, radius, bias, alpha, beta);\n  }\n  pool<T extends Tensor3D|Tensor4D>(\n      this: T, windowShape: [number, number]|number, poolingType: 'max'|'avg',\n      padding: 'valid'|'same'|number, dilationRate?: [number, number]|number,\n      strides?: [number, number]|number): T {\n    (this as Tensor).throwIfDisposed();\n    return opHandler.pool(\n        this, windowShape, poolingType, padding, dilationRate, strides);\n  }\n\n  variable(trainable = true, name?: string, dtype?: DataType): Variable<R> {\n    this.throwIfDisposed();\n    return trackerFn().makeVariable(this, trainable, name, dtype) as\n        Variable<R>;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      this: T, segmentIds: Tensor1D|TensorLike1D, numSegments: number): T {\n    this.throwIfDisposed();\n    return opHandler.unsortedSegmentSum(this, segmentIds, numSegments);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      this: T, blockShape: number[], crops: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.batchToSpaceND(this, blockShape, crops);\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      this: T, blockShape: number[], paddings: number[][]): T {\n    this.throwIfDisposed();\n    return opHandler.spaceToBatchND(this, blockShape, paddings);\n  }\n\n  topk<T extends Tensor>(this: T, k = 1, sorted = true):\n      {values: T, indices: T} {\n    this.throwIfDisposed();\n    return opHandler.topk(this, k, sorted);\n  }\n\n  stridedSlice(\n      this: Tensor, begin: number[], end: number[], strides: number[],\n      beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n      shrinkAxisMask = 0): Tensor {\n    this.throwIfDisposed();\n    return opHandler.stridedSlice(\n        this, begin, end, strides, beginMask, endMask, ellipsisMask,\n        newAxisMask, shrinkAxisMask);\n  }\n\n  depthToSpace(this: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    this.throwIfDisposed();\n    return opHandler.depthToSpace(this, blockSize, dataFormat);\n  }\n\n  fft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.fft(this);\n  }\n\n  ifft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.ifft(this);\n  }\n\n  rfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.rfft(this);\n  }\n\n  irfft(this: Tensor): Tensor {\n    this.throwIfDisposed();\n    return opHandler.spectral.irfft(this);\n  }\n}\nObject.defineProperty(Tensor, Symbol.hasInstance, {\n  value: (instance: Tensor) => {\n    return !!instance && instance.dataId != null && instance.shape != null &&\n        instance.dtype != null;\n  }\n});\n\nexport interface NumericTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: NumericDataType;\n  dataSync<D extends DataType = NumericDataType>(): DataTypeMap[D];\n  data<D extends DataType = NumericDataType>(): Promise<DataTypeMap[D]>;\n}\n\nexport interface StringTensor<R extends Rank = Rank> extends Tensor<R> {\n  dtype: 'string';\n  dataSync<D extends DataType = 'string'>(): DataTypeMap[D];\n  data<D extends DataType = 'string'>(): Promise<DataTypeMap[D]>;\n}\n\n/** @doclink Tensor */\nexport type Scalar = Tensor<Rank.R0>;\n/** @doclink Tensor */\nexport type Tensor1D = Tensor<Rank.R1>;\n/** @doclink Tensor */\nexport type Tensor2D = Tensor<Rank.R2>;\n/** @doclink Tensor */\nexport type Tensor3D = Tensor<Rank.R3>;\n/** @doclink Tensor */\nexport type Tensor4D = Tensor<Rank.R4>;\n/** @doclink Tensor */\nexport type Tensor5D = Tensor<Rank.R5>;\n/** @doclink Tensor */\nexport type Tensor6D = Tensor<Rank.R6>;\n\n/**\n * A mutable `tf.Tensor`, useful for persisting state, e.g. for training.\n */\n/** @doc {heading: 'Tensors', subheading: 'Classes'} */\nexport class Variable<R extends Rank = Rank> extends Tensor<R> {\n  name: string;\n\n  constructor(\n      initialValue: Tensor<R>, public trainable: boolean, name: string,\n      tensorId: number) {\n    super(\n        initialValue.shape, initialValue.dtype, initialValue.dataId, tensorId);\n    this.name = name;\n  }\n\n  /**\n   * Assign a new `tf.Tensor` to this variable. The new `tf.Tensor` must have\n   * the same shape and dtype as the old `tf.Tensor`.\n   *\n   * @param newValue New tensor to be assigned to this variable.\n   */\n  /** @doc {heading: 'Tensors', subheading: 'Classes'} */\n  assign(newValue: Tensor<R>): void {\n    if (newValue.dtype !== this.dtype) {\n      throw new Error(\n          `dtype of the new value (${newValue.dtype}) and ` +\n          `previous value (${this.dtype}) must match`);\n    }\n    if (!util.arraysEqual(newValue.shape, this.shape)) {\n      throw new Error(\n          `shape of the new value (${newValue.shape}) and ` +\n          `previous value (${this.shape}) must match`);\n    }\n    trackerFn().disposeTensor(this);\n    this.dataId = newValue.dataId;\n    trackerFn().incRef(this, null /* backend */);\n  }\n\n  dispose(): void {\n    trackerFn().disposeVariable(this);\n    this.isDisposedInternal = true;\n  }\n}\n\nObject.defineProperty(Variable, Symbol.hasInstance, {\n  value: (instance: Variable) => {\n    return instance instanceof Tensor && instance.assign != null &&\n        instance.assign instanceof Function;\n  }\n});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** @docalias number[] */\nexport interface ShapeMap {\n  R0: number[];\n  R1: [number];\n  R2: [number, number];\n  R3: [number, number, number];\n  R4: [number, number, number, number];\n  R5: [number, number, number, number, number];\n  R6: [number, number, number, number, number, number];\n}\n\n/** @docalias number[] */\nexport interface ArrayMap {\n  R0: number;\n  R1: number[];\n  R2: number[][];\n  R3: number[][][];\n  R4: number[][][][];\n  R5: number[][][][][];\n  R6: number[][][][][][];\n}\n\nexport interface DataTypeMap {\n  float32: Float32Array;\n  int32: Int32Array;\n  bool: Uint8Array;\n  complex64: Float32Array;\n  string: string[];\n}\n\nexport interface SingleValueMap {\n  bool: boolean;\n  int32: number;\n  float32: number;\n  complex64: number;\n  string: string;\n}\n\n/** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */\nexport type DataType = keyof DataTypeMap;\nexport type NumericDataType = 'float32'|'int32'|'bool'|'complex64';\nexport type TypedArray = Float32Array|Int32Array|Uint8Array;\n/** Tensor data used in tensor creation and user-facing API. */\nexport type DataValues = DataTypeMap[DataType];\n/** The underlying tensor data that gets stored in a backend. */\nexport type BackendValues = Float32Array|Int32Array|Uint8Array|Uint8Array[];\n\nexport enum Rank {\n  R0 = 'R0',\n  R1 = 'R1',\n  R2 = 'R2',\n  R3 = 'R3',\n  R4 = 'R4',\n  R5 = 'R5',\n  R6 = 'R6'\n}\n\nexport type FlatVector = boolean[]|number[]|TypedArray;\nexport type RegularArray<T> =\n    T[]|T[][]|T[][][]|T[][][][]|T[][][][][]|T[][][][][][];\n\n// tslint:disable-next-line:no-any\nexport interface RecursiveArray<T extends any> {\n  [index: number]: T|RecursiveArray<T>;\n}\n\n// Looks for upcasting types. Used, for example, in operations with mixed dtype\n// inputs.\nenum UpcastInt32AndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'int32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastBoolAndMap {\n  'float32' = 'float32',\n  'int32' = 'int32',\n  'bool' = 'bool',\n  'complex64' = 'complex64'\n}\n\nenum UpcastFloat32AndMap {\n  'float32' = 'float32',\n  'int32' = 'float32',\n  'bool' = 'float32',\n  'complex64' = 'complex64'\n}\n\nenum UpcastComplex64AndMap {\n  'float32' = 'complex64',\n  'int32' = 'complex64',\n  'bool' = 'complex64',\n  'complex64' = 'complex64'\n}\n\nconst upcastTypeMap = {\n  'float32': UpcastFloat32AndMap,\n  'int32': UpcastInt32AndMap,\n  'bool': UpcastBoolAndMap,\n  'complex64': UpcastComplex64AndMap\n};\n\nexport function upcastType(typeA: DataType, typeB: DataType): DataType {\n  if (typeA === 'string' || typeB === 'string') {\n    if (typeA === 'string' && typeB === 'string') {\n      return 'string';\n    }\n    throw new Error(`Can not upcast ${typeA} with ${typeB}`);\n  }\n  return upcastTypeMap[typeA][typeB];\n}\n\n/** Returns the output type after summation. */\nexport function sumOutType(type: DataType): DataType {\n  return upcastType(type, 'int32');\n}\n\n/** @docalias TypedArray|Array */\nexport type TensorLike =\n    TypedArray|number|boolean|string|RecursiveArray<number|number[]|TypedArray>|\n    RecursiveArray<boolean>|RecursiveArray<string>|Uint8Array[];\nexport type ScalarLike = number|boolean|string|Uint8Array;\n/** @docalias TypedArray|Array */\nexport type TensorLike1D = TypedArray|number[]|boolean[]|string[]|Uint8Array[];\n/** @docalias TypedArray|Array */\nexport type TensorLike2D = TypedArray|number[]|number[][]|boolean[]|boolean[][]|\n    string[]|string[][]|Uint8Array[]|Uint8Array[][];\n/** @docalias TypedArray|Array */\nexport type TensorLike3D = TypedArray|number[]|number[][][]|boolean[]|\n    boolean[][][]|string[]|string[][][]|Uint8Array[]|Uint8Array[][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike4D = TypedArray|number[]|number[][][][]|boolean[]|\n    boolean[][][][]|string[]|string[][][][]|Uint8Array[]|Uint8Array[][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike5D =\n    TypedArray|number[]|number[][][][][]|boolean[]|boolean[][][][][]|string[]|\n    string[][][][][]|Uint8Array[]|Uint8Array[][][][][];\n/** @docalias TypedArray|Array */\nexport type TensorLike6D =\n    TypedArray|number[]|number[][][][][][]|boolean[]|boolean[][][][][][]|\n    string[]|string[][][][][][]|Uint8Array[]|Uint8Array[][][][][];\n\n/** Type for representing image dat in Uint8Array type. */\nexport interface PixelData {\n  width: number;\n  height: number;\n  data: Uint8Array;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {TensorContainer, TensorContainerArray} from './tensor_types';\nimport {upcastType} from './types';\nimport {assert} from './util';\n\nexport function makeTypesMatch<T extends Tensor>(a: T, b: T): [T, T] {\n  if (a.dtype === b.dtype) {\n    return [a, b];\n  }\n  const dtype = upcastType(a.dtype, b.dtype);\n  return [a.cast(dtype), b.cast(dtype)];\n}\n\nexport function assertTypesMatch(a: Tensor, b: Tensor): void {\n  assert(\n      a.dtype === b.dtype,\n      () => `The dtypes of the first(${a.dtype}) and` +\n          ` second(${b.dtype}) input must match`);\n}\n\nexport function isTensorInList(tensor: Tensor, tensorList: Tensor[]): boolean {\n  return tensorList.some(x => x.id === tensor.id);\n}\n\n/**\n * Extracts any `Tensor`s found within the provided object.\n *\n * @param container an object that may be a `Tensor` or may directly contain\n *   `Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. In general it\n *   is safe to pass any object here, except that `Promise`s are not\n *   supported.\n * @returns An array of `Tensors` found within the passed object. If the\n *   argument is simply a `Tensor', a list containing that `Tensor` is\n *   returned. If the object is not a `Tensor` or does not\n *   contain `Tensors`, an empty list is returned.\n */\nexport function getTensorsInContainer(result: TensorContainer): Tensor[] {\n  const list: Tensor[] = [];\n  const seen = new Set<{}|void>();\n  walkTensorContainer(result, list, seen);\n  return list;\n}\n\nfunction walkTensorContainer(\n    container: TensorContainer, list: Tensor[], seen: Set<{}|void>): void {\n  if (container == null) {\n    return;\n  }\n  if (container instanceof Tensor) {\n    list.push(container);\n    return;\n  }\n  if (!isIterable(container)) {\n    return;\n  }\n  // Iteration over keys works also for arrays.\n  const iterable = container as TensorContainerArray;\n  for (const k in iterable) {\n    const val = iterable[k];\n    if (!seen.has(val)) {\n      seen.add(val);\n      walkTensorContainer(val, list, seen);\n    }\n  }\n}\n\n// tslint:disable-next-line:no-any\nfunction isIterable(obj: any): boolean {\n  return Array.isArray(obj) || typeof obj === 'object';\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimingInfo, DataMover, KernelBackend} from './backends/backend';\nimport {Environment, setEnvironmentGlobal} from './environment';\nimport {getGradient, getKernel, getKernelsForBackend, GradFunc, NamedAttrMap, TensorInfo} from './kernel_registry';\nimport {Profiler} from './profiler';\nimport {backpropagateGradients, getFilteredNodesXToY, TapeNode} from './tape';\nimport {DataId, setTensorTracker, Tensor, TensorTracker, Variable} from './tensor';\nimport {GradSaveFunc, NamedTensorMap, NamedVariableMap, TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\nimport {BackendValues, DataType, DataValues} from './types';\nimport * as util from './util';\nimport {bytesFromStringArray, makeOnesTypedArray, now, sizeFromShape} from './util';\n\n/**\n * A function that computes an output. The save function is for saving tensors\n * computed in the forward pass, that we need in the backward pass.\n */\nexport type ForwardFunc<T> = (backend: KernelBackend, save?: GradSaveFunc) => T;\n\n/**\n * @docalias (a: Tensor, b: Tensor,..., save?: Function) => {\n *   value: Tensor,\n *   gradFunc: (dy: Tensor, saved?: NamedTensorMap) => Tensor | Tensor[]\n * }\n */\nexport type CustomGradientFunc<T extends Tensor> =\n    (...inputs: Array<Tensor|GradSaveFunc>) => {\n      value: T;\n      gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[];\n    };\n\nexport type MemoryInfo = {\n  numTensors: number; numDataBuffers: number; numBytes: number;\n  unreliable?: boolean; reasons: string[];\n};\n\ntype KernelProfile = {\n  name: string; bytesAdded: number; totalBytesSnapshot: number;\n  tensorsAdded: number;\n  totalTensorsSnapshot: number;\n  inputShapes: number[][];\n  outputShapes: number[][];\n};\n\nexport type ProfileInfo = {\n  newBytes: number; newTensors: number; peakBytes: number;\n  kernels: KernelProfile[];\n  result: TensorContainer;\n};\n\nexport interface TimingInfo extends BackendTimingInfo {\n  wallMs: number;\n}\n\n/** @docalias Function */\nexport type ScopeFn<T extends TensorContainer> = () => T;\n\ninterface ScopeState {\n  track: Tensor[];\n  name: string;\n  id: number;\n}\n\nclass EngineState {\n  // Public since optimizers will use it.\n  registeredVariables: NamedVariableMap = {};\n\n  nextTapeNodeId = 0;\n  numBytes = 0;\n  numTensors = 0;\n  numStringTensors = 0;\n  numDataBuffers = 0;\n\n  activeTape: TapeNode[];\n  // Number of nested tf.grad() statements when computing higher-order\n  // gradients. E.g. `1` for first-order gradients and `2` for second-order\n  // gradients. Used to track if the tape should be removed after a backprop.\n  gradientDepth = 0;\n  // Number of nested kernel calls. When kernel depth is greater than 1, we turn\n  // off the tape.\n  kernelDepth = 0;\n\n  // Keep Tensors that parallel the tapes.\n  activeScope: ScopeState;\n  scopeStack: ScopeState[] = [];\n  /**\n   * Keeps track of the number of data moves during a kernel execution. We\n   * maintain a stack since kernels can call other kernels, recursively.\n   */\n  numDataMovesStack: number[] = [];\n  nextScopeId = 0;\n\n  tensorInfo = new WeakMap<DataId, {\n    backend: KernelBackend,\n    bytes: number,\n    dtype: DataType,\n    shape: number[],\n    refCount: number\n  }>();\n\n  profiling = false;\n  activeProfile: ProfileInfo =\n      {newBytes: 0, newTensors: 0, peakBytes: 0, kernels: [], result: null};\n\n  dispose() {\n    for (const variableName in this.registeredVariables) {\n      this.registeredVariables[variableName].dispose();\n    }\n  }\n}\n\nexport class Engine implements TensorTracker, DataMover {\n  state: EngineState;\n  backendName: string;\n  registry: {[id: string]: KernelBackend} = {};\n  registryFactory: {\n    [id: string]: {\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority: number\n    }\n  } = {};\n\n  private profiler: Profiler;\n  private backendInstance: KernelBackend;\n  private pendingBackendInit: Promise<boolean>;\n  private pendingBackendInitId = 0;\n\n  constructor(public ENV: Environment) {\n    this.state = new EngineState();\n  }\n\n  async ready(): Promise<void> {\n    if (this.pendingBackendInit != null) {\n      return this.pendingBackendInit.then(() => {});\n    }\n    if (this.backendInstance != null) {\n      return;\n    }\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const success = await this.initializeBackend(backendName).success;\n      if (success) {\n        await this.setBackend(backendName);\n        return;\n      }\n    }\n\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  get backend(): KernelBackend {\n    if (this.pendingBackendInit != null) {\n      throw new Error(\n          `Backend '${this.backendName}' has not yet been initialized. Make ` +\n          `sure to await tf.ready() or await tf.setBackend() before calling ` +\n          `other methods`);\n    }\n    if (this.backendInstance == null) {\n      const {name, asyncInit} = this.initializeBackendsAndReturnBest();\n      if (asyncInit) {\n        throw new Error(\n            `The highest priority backend '${name}' has not yet been ` +\n            `initialized. Make sure to await tf.ready() or ` +\n            `await tf.setBackend() before calling other methods`);\n      }\n      this.setBackend(name);\n    }\n    return this.backendInstance;\n  }\n\n  backendNames(): string[] {\n    return Object.keys(this.registryFactory);\n  }\n\n  findBackend(backendName: string): KernelBackend {\n    if (!(backendName in this.registry)) {\n      // If the backend hasn't been initialized but we have a registry entry for\n      // it, initialize it and return it.\n      if (backendName in this.registryFactory) {\n        const {asyncInit} = this.initializeBackend(backendName);\n        if (asyncInit) {\n          // Backend is not ready yet.\n          return null;\n        }\n      } else {\n        return null;\n      }\n    }\n    return this.registry[backendName];\n  }\n\n  findBackendFactory(backendName: string):\n      () => KernelBackend | Promise<KernelBackend> {\n    if (!(backendName in this.registryFactory)) {\n      return null;\n    }\n    return this.registryFactory[backendName].factory;\n  }\n\n  registerBackend(\n      backendName: string,\n      factory: () => KernelBackend | Promise<KernelBackend>,\n      priority = 1): boolean {\n    if (backendName in this.registryFactory) {\n      console.warn(\n          `${backendName} backend was already registered. ` +\n          `Reusing existing backend factory.`);\n      return false;\n    }\n    this.registryFactory[backendName] = {factory, priority};\n    return true;\n  }\n\n  async setBackend(backendName: string): Promise<boolean> {\n    if (this.registryFactory[backendName] == null) {\n      throw new Error(`Backend name '${backendName}' not found in registry`);\n    }\n    this.backendName = backendName;\n    if (this.registry[backendName] == null) {\n      this.backendInstance = null;\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      const result = asyncInit ? await success : success;\n      if (!result) {\n        return false;\n      }\n    }\n    this.backendInstance = this.registry[backendName];\n    this.setupRegisteredKernels();\n    // Reset the profiler.\n    this.profiler = new Profiler(this.backendInstance);\n\n    return true;\n  }\n\n  private setupRegisteredKernels(): void {\n    const kernels = getKernelsForBackend(this.backendName);\n    kernels.forEach(kernel => {\n      if (kernel.setupFunc != null) {\n        kernel.setupFunc(this.backendInstance);\n      }\n    });\n  }\n\n  private disposeRegisteredKernels(backendName: string): void {\n    const kernels = getKernelsForBackend(backendName);\n    kernels.forEach(kernel => {\n      if (kernel.disposeFunc != null) {\n        kernel.disposeFunc(this.registry[backendName]);\n      }\n    });\n  }\n\n  /**\n   * Initializes a backend by looking up the backend name in the factory\n   * registry and calling the factory method. Returns a boolean representing\n   * whether the initialization of the backend suceeded. Throws an error if\n   * there is no backend in the factory registry.\n   */\n  private initializeBackend(backendName: string):\n      {success: boolean|Promise<boolean>, asyncInit: boolean} {\n    const registryFactoryEntry = this.registryFactory[backendName];\n    if (registryFactoryEntry == null) {\n      throw new Error(\n          `Cannot initialize backend ${backendName}, no registration found.`);\n    }\n\n    try {\n      const backend = registryFactoryEntry.factory();\n      // Test if the factory returns a promise.\n      if (Promise.resolve(backend) === backend) {\n        const promiseId = ++this.pendingBackendInitId;\n        const success =\n            backend\n                .then(backendInstance => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.registry[backendName] = backendInstance;\n                  this.pendingBackendInit = null;\n                  return true;\n                })\n                .catch(err => {\n                  // Outdated promise. Another backend was set in the meantime.\n                  if (promiseId < this.pendingBackendInitId) {\n                    return false;\n                  }\n                  this.pendingBackendInit = null;\n                  console.warn(\n                      `Initialization of backend ${backendName} failed`);\n                  console.warn(err.stack || err.message);\n                  return false;\n                });\n        this.pendingBackendInit = success;\n        return {success, asyncInit: true};\n      } else {\n        this.registry[backendName] = backend as KernelBackend;\n        return {success: true, asyncInit: false};\n      }\n    } catch (err) {\n      console.warn(`Initialization of backend ${backendName} failed`);\n      console.warn(err.stack || err.message);\n      return {success: false, asyncInit: false};\n    }\n  }\n\n  removeBackend(backendName: string): void {\n    if (!(backendName in this.registryFactory)) {\n      throw new Error(`${backendName} backend not found in registry`);\n    }\n    if (this.backendName === backendName && this.pendingBackendInit != null) {\n      // There is a pending promise of the backend we want to remove. Make it\n      // obsolete.\n      this.pendingBackendInitId++;\n    }\n\n    if (backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n\n    delete this.registryFactory[backendName];\n\n    // Unset the backend if it is active.\n    if (this.backendName === backendName) {\n      this.pendingBackendInit = null;\n      this.backendName = null;\n      this.backendInstance = null;\n    }\n  }\n\n  private getSortedBackends(): string[] {\n    if (Object.keys(this.registryFactory).length === 0) {\n      throw new Error('No backend found in registry.');\n    }\n    return Object.keys(this.registryFactory).sort((a: string, b: string) => {\n      // Highest priority comes first.\n      return this.registryFactory[b].priority -\n          this.registryFactory[a].priority;\n    });\n  }\n\n  private initializeBackendsAndReturnBest():\n      {name: string, asyncInit: boolean} {\n    const sortedBackends = this.getSortedBackends();\n\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const {success, asyncInit} = this.initializeBackend(backendName);\n      if (asyncInit || success) {\n        return {name: backendName, asyncInit};\n      }\n    }\n    throw new Error(\n        `Could not initialize any backends, all backend initializations ` +\n        `failed.`);\n  }\n\n  moveData(destBackend: KernelBackend, dataId: DataId) {\n    const info = this.state.tensorInfo.get(dataId);\n    const srcBackend = info.backend;\n    const values = this.readSync(dataId);\n    // Delete the tensor from the old backend and move it to the new\n    // backend.\n    srcBackend.disposeData(dataId);\n    info.backend = destBackend;\n    destBackend.move(dataId, values, info.shape, info.dtype);\n    if (this.shouldCheckForMemLeaks()) {\n      // Track the number of moves during a kernel execution to correctly\n      // detect memory leaks.\n      this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;\n    }\n  }\n\n  tidy<T extends TensorContainer>(nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>):\n      T {\n    let name: string = null;\n    if (fn == null) {\n      // Called with only 1 argument.\n      if (typeof nameOrFn !== 'function') {\n        throw new Error('Please provide a function to tidy()');\n      }\n      fn = nameOrFn;\n    } else {\n      // Called with 2 arguments.\n      if (typeof nameOrFn !== 'string' && !(nameOrFn instanceof String)) {\n        throw new Error(\n            'When calling with two arguments, the first argument ' +\n            'to tidy() must be a string');\n      }\n      if (typeof fn !== 'function') {\n        throw new Error(\n            'When calling with two arguments, the 2nd argument ' +\n            'to tidy() must be a function');\n      }\n      name = nameOrFn as string;\n      // TODO(nsthorat,smilkov): Do operation logging and performance\n      // profiling.\n    }\n    let result: T;\n    return this.scopedRun(\n        () => this.startScope(name), () => this.endScope(result), () => {\n          result = fn();\n          if (result instanceof Promise) {\n            console.error('Cannot return a Promise inside of tidy.');\n          }\n          return result;\n        });\n  }\n\n  private scopedRun<T>(start: () => void, end: () => void, f: () => T): T {\n    start();\n    try {\n      const res = f();\n      end();\n      return res;\n    } catch (ex) {\n      end();\n      throw ex;\n    }\n  }\n\n  private static nextTensorId = 0;\n  private nextTensorId(): number {\n    return Engine.nextTensorId++;\n  }\n\n  private static nextVariableId = 0;\n  private nextVariableId(): number {\n    return Engine.nextVariableId++;\n  }\n\n  /**\n   * This method is called instead of the public-facing tensor.clone() when\n   * saving a tensor for backwards pass. It makes sure to add the clone\n   * operation to the tape regardless of being called inside a kernel\n   * execution.\n   *\n   * This method will go away once all kernels are modularized since we won't\n   * need to turn off the tape inside runKernel().\n   */\n  private clone(x: Tensor): Tensor {\n    const y = this.makeTensorFromDataId(x.dataId, x.shape, x.dtype);\n    const inputs = {x};\n    const grad = (dy: Tensor) => ({x: () => dy.toFloat()});\n    const saved: Tensor[] = [];\n    this.addTapeNode(this.state.activeScope.name, inputs, [y], grad, saved, {});\n    return y;\n  }\n\n  /**\n   * Execute a kernel with the given name and return the output tensor.\n   *\n   * @param kernelName The name of the kernel to execute.\n   * @param inputs A map of input names to tensors.\n   * @param attrs A map of attribute names to their values. An attribute is a\n   *     primitive (non-tensor) input to the kernel.\n   * @param inputsToSave A list of tensors, inputs to save for the backprop\n   *     computation.\n   * @param outputsToSave A list of booleans, specifying which output to save\n   *     for the backprop computation. These are booleans since the output\n   * tensors are not visible to the user.\n   */\n  runKernel(\n      kernelName: string, inputs: NamedTensorMap, attrs: NamedAttrMap,\n      inputsToSave?: Tensor[], outputsToSave?: boolean[]): Tensor|Tensor[] {\n    const forwardFunc: null = null;\n    const backwardsFunc: null = null;\n    // Call runKernel as a stop-gap until we modularize all kernels.\n    // Once we modularize all kernels, we will remove the existing\n    // `runKernelFunc`.\n    return this.runKernelFunc(\n        forwardFunc, inputs, backwardsFunc, kernelName, attrs, inputsToSave,\n        outputsToSave);\n  }\n\n  private shouldCheckForMemLeaks(): boolean {\n    return this.ENV.getBool('IS_TEST');\n  }\n\n  private checkKernelForMemLeak(\n      kernelName: string, numDataIdsBefore: number,\n      outInfos: TensorInfo[]): void {\n    const numDataIdsAfter = this.backend.numDataIds();\n\n    // Count the number of data ids associated with the result of the kernel.\n    let numOutputDataIds = 0;\n    outInfos.forEach(info => {\n      // Complex numbers allocate 3 data ids, one for 'real', one for\n      // 'imaginary', and one for the container that holds the former two.\n      numOutputDataIds += (info.dtype === 'complex64' ? 3 : 1);\n    });\n\n    // Account for the number of moves during kernel execution. A \"data move\"\n    // can happen in the middle of a kernel execution, placing a new (key,value)\n    // pair in the data storage. Since data moves have net zero effect (we\n    // always remove the data from the old backend), we have to cancel them out\n    // when detecting memory leaks.\n    const numMoves =\n        this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];\n    const dataIdsLeaked =\n        numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;\n    if (dataIdsLeaked > 0) {\n      throw new Error(\n          `Backend '${this.backendName}' has an internal memory leak ` +\n          `(${dataIdsLeaked} data ids) after running '${kernelName}'`);\n    }\n  }\n\n  /**\n   * @deprecated Use `runKernel` for newly added kernels. Keep using this method\n   *     only for kernels that are not yet fully modularized.\n   */\n  runKernelFunc<T extends Tensor|Tensor[], I extends NamedTensorMap>(\n      forwardFunc: ForwardFunc<T>, inputs: I,\n      backwardsFunc?: (dy: T, saved: Tensor[]) => {[P in keyof I]: () => I[P]},\n      kernelName?: string, attrs?: NamedAttrMap, inputsToSave?: Tensor[],\n      outputsToSave?: boolean[]): T {\n    let outputs: Tensor[];\n    let saved: Tensor[] = [];\n    const isTapeOn = this.isTapeOn();\n    if (kernelName == null) {\n      kernelName =\n          this.state.activeScope != null ? this.state.activeScope.name : '';\n    }\n\n    const startingBytecount = this.state.numBytes;\n    const startingNumTensors = this.state.numTensors;\n\n    if (this.shouldCheckForMemLeaks()) {\n      this.state.numDataMovesStack.push(0);\n    }\n\n    let kernelFunc: () => Tensor[];\n    const kernel = getKernel(kernelName, this.backendName);\n    let out: TensorInfo|TensorInfo[];\n    if (kernel != null) {\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = kernel.kernelFunc({inputs, attrs, backend: this.backend});\n        const outInfos = Array.isArray(out) ? out : [out];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos);\n        }\n        const outTensors = outInfos.map(\n            ({dataId, shape, dtype}) =>\n                this.makeTensorFromDataId(dataId, shape, dtype));\n\n        // Save the inputs and outputs.\n        // Do not save unless we are recording to the tape. Otherwise it would\n        // cause a mem leak since we would never run backprop, which disposes\n        // the kept tensors.\n        if (isTapeOn) {\n          let tensorsToSave =\n              this.getTensorsForGradient(kernelName, inputs, outTensors);\n          if (tensorsToSave == null) {\n            // Fallback for ops that call runKernelFunc and pass in\n            // inputsToSave and outputsToSave. Currently this is the set of ops\n            // with kernel support in the WASM backend. Once those ops and\n            // respective gradients are modularised we can remove this path.\n            if (outputsToSave == null) {\n              outputsToSave = [];\n            }\n            const outsToSave = outTensors.filter((_, i) => outputsToSave[i]);\n            tensorsToSave = (inputsToSave || []).slice().concat(outsToSave);\n          }\n          saved = this.saveTensorsForBackwardMode(tensorsToSave);\n        }\n        return outTensors;\n      };\n    } else {\n      const saveFunc: GradSaveFunc = (tensors) => {\n        // Do not save unless we are recording to the tape. Otherwise it would\n        // cause a mem leak since we would never run backprop, which disposes\n        // the kept tensors.\n        if (!isTapeOn) {\n          return;\n        }\n        saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n      };\n\n      kernelFunc = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = this.tidy(() => forwardFunc(this.backend, saveFunc));\n        const outs = (Array.isArray(out) ? out : [out]) as Tensor[];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outs);\n        }\n        return outs;\n      };\n    }\n\n    // Stop recording to a tape when running a kernel.\n    this.scopedRun(\n        () => this.state.kernelDepth++, () => this.state.kernelDepth--, () => {\n          if (!this.ENV.getBool('DEBUG')) {\n            outputs = kernelFunc();\n          } else {\n            outputs = this.profiler.profileKernel(\n                kernelName, inputs, () => kernelFunc());\n          }\n        });\n\n    if (isTapeOn) {\n      this.addTapeNode(\n          kernelName, inputs, outputs, backwardsFunc, saved, attrs);\n    }\n\n    if (this.state.profiling) {\n      this.state.activeProfile.kernels.push({\n        name: kernelName,\n        bytesAdded: this.state.numBytes - startingBytecount,\n        totalBytesSnapshot: this.state.numBytes,\n        tensorsAdded: this.state.numTensors - startingNumTensors,\n        totalTensorsSnapshot: this.state.numTensors,\n        inputShapes: Object.keys(inputs).map(key => inputs[key].shape),\n        outputShapes: outputs.map(item => item.shape)\n      });\n    }\n    return (Array.isArray(out) ? outputs : outputs[0]) as T;\n  }\n\n  /**\n   * Saves tensors used in forward mode for use in backward mode.\n   *\n   * @param tensors the list of tensors to save.\n   */\n  private saveTensorsForBackwardMode(tensors: Tensor[]): Tensor[] {\n    const saved = tensors.map(tensor => this.keep(this.clone(tensor)));\n    return saved;\n  }\n\n  /**\n   * Returns a list of tensors to save for a given gradient calculation.\n   *\n   * Returns undefined if their is no registered gradient for this kernel in the\n   * gradient registry.\n   *\n   * @param kernelName name of kernel to look up gradient for.\n   * @param inputs a map of input tensors.\n   * @param outputs an array of output tensors from forward mode of kernel.\n   */\n  private getTensorsForGradient(\n      kernelName: string, inputs: NamedTensorMap,\n      outputs: Tensor[]): Tensor[]|null {\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      const inputsToSave: string[] = gradConfig.inputsToSave || [];\n      const outputsToSave: boolean[] = gradConfig.outputsToSave || [];\n\n      // If saveAllInputs is true, all inputs will be saved. Otherwise, inputs\n      // specified in inputsToSave will be saved.\n      let inputTensorsToSave: Tensor[];\n      if (gradConfig.saveAllInputs) {\n        util.assert(\n            Array.isArray(inputs),\n            () => 'saveAllInputs is true, expected inputs to be an array.');\n\n        inputTensorsToSave = Object.keys(inputs).map((key) => inputs[key]);\n      } else {\n        inputTensorsToSave = inputsToSave.map((inputName) => inputs[inputName]);\n      }\n\n      const outputTensorsToSave: Tensor[] =\n          outputs.filter((_, i) => outputsToSave[i]);\n\n      return inputTensorsToSave.concat(outputTensorsToSave);\n    }\n    // TODO(yassogba) throw exception here once all runkernelFunc calls with\n    // inputsToSave/outputsToSave are removed\n    return null;\n  }\n\n  /**\n   * Internal method used by public APIs for tensor creation. Makes a new\n   * tensor with the provided shape, dtype and values. It always\n   * creates a new data id and writes the values to the underlying backend.\n   */\n  makeTensor(\n      values: DataValues, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    if (values == null) {\n      throw new Error('Values passed to engine.makeTensor() are null');\n    }\n    dtype = dtype || 'float32';\n    backend = backend || this.backend;\n    let backendVals = values as BackendValues;\n    if (dtype === 'string' && util.isString(values[0])) {\n      backendVals = (values as string[]).map(d => util.encodeString(d));\n    }\n    const dataId = backend.write(backendVals, shape, dtype);\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n\n    // Count bytes for string tensors.\n    if (dtype === 'string') {\n      const info = this.state.tensorInfo.get(dataId);\n      const newBytes = bytesFromStringArray(backendVals as Uint8Array[]);\n      this.state.numBytes += newBytes - info.bytes;\n      info.bytes = newBytes;\n    }\n    return t;\n  }\n\n  /**\n   * Internal method used by backends. Makes a new tensor\n   * that is a wrapper around an existing data id. It doesn't create\n   * a new data id, only increments the ref count used in memory tracking.\n   */\n  makeTensorFromDataId(\n      dataId: DataId, shape: number[], dtype: DataType,\n      backend?: KernelBackend): Tensor {\n    dtype = dtype || 'float32';\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.incRef(t, backend);\n    return t;\n  }\n\n  makeVariable(\n      initialValue: Tensor, trainable = true, name?: string,\n      dtype?: DataType): Variable {\n    name = name || this.nextVariableId().toString();\n    if (dtype != null && dtype !== initialValue.dtype) {\n      initialValue = initialValue.asType(dtype);\n    }\n    const v = new Variable(initialValue, trainable, name, this.nextTensorId());\n    if (this.state.registeredVariables[v.name] != null) {\n      throw new Error(`Variable with name ${v.name} was already registered`);\n    }\n    this.state.registeredVariables[v.name] = v;\n    this.incRef(v, this.backend);\n    return v;\n  }\n\n  incRef(a: Tensor, backend: KernelBackend): void {\n    const refCount = this.state.tensorInfo.has(a.dataId) ?\n        this.state.tensorInfo.get(a.dataId).refCount :\n        0;\n    this.state.numTensors++;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors++;\n    }\n    if (refCount === 0) {\n      this.state.numDataBuffers++;\n\n      // Bytes for complex numbers are counted by their components. Bytes for\n      // string tensors are counted when writing values.\n      let bytes = 0;\n      if (a.dtype !== 'complex64' && a.dtype !== 'string') {\n        bytes = a.size * util.bytesPerElement(a.dtype);\n      }\n      this.state.tensorInfo.set(a.dataId, {\n        backend: backend || this.backend,\n        dtype: a.dtype,\n        shape: a.shape,\n        bytes,\n        refCount: 0\n      });\n      this.state.numBytes += bytes;\n    }\n    this.state.tensorInfo.get(a.dataId).refCount++;\n    if (!(a instanceof Variable)) {\n      this.track(a);\n    }\n  }\n\n  disposeTensor(a: Tensor): void {\n    if (!this.state.tensorInfo.has(a.dataId)) {\n      return;\n    }\n\n    this.state.numTensors--;\n    if (a.dtype === 'string') {\n      this.state.numStringTensors--;\n    }\n    const info = this.state.tensorInfo.get(a.dataId);\n    const refCount = info.refCount;\n    if (refCount <= 1) {\n      // Don't count bytes for complex numbers as they are counted by their\n      // components.\n      if (a.dtype !== 'complex64') {\n        this.state.numBytes -= info.bytes;\n      }\n      this.state.numDataBuffers--;\n      info.backend.disposeData(a.dataId);\n      this.state.tensorInfo.delete(a.dataId);\n    } else {\n      this.state.tensorInfo.get(a.dataId).refCount--;\n    }\n    // TODO(nsthorat): Construct an error and save the stack trace for\n    // debugging when in debug mode. Creating a stack trace is too expensive\n    // to do unconditionally.\n  }\n\n  disposeVariables(): void {\n    for (const varName in this.state.registeredVariables) {\n      const v = this.state.registeredVariables[varName];\n      this.disposeVariable(v);\n    }\n  }\n\n  disposeVariable(v: Variable): void {\n    this.disposeTensor(v);\n    if (this.state.registeredVariables[v.name] != null) {\n      delete this.state.registeredVariables[v.name];\n    }\n  }\n\n  memory(): MemoryInfo {\n    const info = this.backend.memory() as MemoryInfo;\n    info.numTensors = this.state.numTensors;\n    info.numDataBuffers = this.state.numDataBuffers;\n    info.numBytes = this.state.numBytes;\n    if (this.state.numStringTensors > 0) {\n      info.unreliable = true;\n      if (info.reasons == null) {\n        info.reasons = [];\n      }\n      info.reasons.push(\n          'Memory usage by string tensors is approximate ' +\n          '(2 bytes per character)');\n    }\n    return info;\n  }\n\n  async profile(query: () => TensorContainer): Promise<ProfileInfo> {\n    this.state.profiling = true;\n\n    const startBytes = this.state.numBytes;\n    const startNumTensors = this.state.numTensors;\n\n    this.state.activeProfile.kernels = [];\n    this.state.activeProfile.result = query();\n\n    this.state.profiling = false;\n\n    this.state.activeProfile.peakBytes = Math.max(\n        ...this.state.activeProfile.kernels.map(d => d.totalBytesSnapshot));\n    this.state.activeProfile.newBytes = this.state.numBytes - startBytes;\n    this.state.activeProfile.newTensors =\n        this.state.numTensors - startNumTensors;\n    return this.state.activeProfile;\n  }\n\n  isTapeOn(): boolean {\n    return this.state.gradientDepth > 0 && this.state.kernelDepth === 0;\n  }\n\n  private addTapeNode(\n      kernelName: string, inputs: NamedTensorMap, outputs: Tensor[],\n      gradientsFunc: GradFunc, saved: Tensor[], attrs: NamedAttrMap): void {\n    const tapeNode: TapeNode =\n        {id: this.state.nextTapeNodeId++, kernelName, inputs, outputs, saved};\n\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      gradientsFunc = gradConfig.gradFunc;\n    }\n    if (gradientsFunc != null) {\n      tapeNode.gradient = (dys: Tensor[]) => {\n        // TODO(smilkov): To optimize back-prop, pass dys that are not used in\n        // the backprop graph to the user as null instead of zeros\n        dys = dys.map((dy, i) => {\n          if (dy == null) {\n            const output = outputs[i];\n            const vals = util.makeZerosTypedArray(output.size, output.dtype);\n            return this.makeTensor(vals, output.shape, output.dtype);\n          }\n          return dy;\n        });\n        // Grad functions of ops with single outputs expect a dy, while ops\n        // with multiple outputs expect dys (array of dy).\n        return gradientsFunc(dys.length > 1 ? dys : dys[0], saved, attrs);\n      };\n    }\n    this.state.activeTape.push(tapeNode);\n  }\n\n  keep<T extends Tensor>(result: T): T {\n    result.kept = true;\n    return result;\n  }\n\n  private startTape() {\n    if (this.state.gradientDepth === 0) {\n      this.state.activeTape = [];\n    }\n    this.state.gradientDepth++;\n  }\n\n  private endTape() {\n    this.state.gradientDepth--;\n  }\n\n  /**\n   * Start a scope. Use this with endScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  startScope(name?: string) {\n    const scopeInfo: ScopeState = {\n      track: [],\n      name: 'unnamed scope',\n      id: this.state.nextScopeId++\n    };\n    if (name) {\n      scopeInfo.name = name;\n    }\n    this.state.scopeStack.push(scopeInfo);\n    this.state.activeScope = scopeInfo;\n  }\n\n  /**\n   * End a scope. Use this with startScope() to achieve the same functionality\n   * as scope() without the need for a function closure.\n   */\n  endScope(result?: TensorContainer) {\n    const tensorsToTrackInParent = getTensorsInContainer(result);\n    const tensorsToTrackInParentSet =\n        new Set(tensorsToTrackInParent.map(t => t.id));\n\n    // Dispose the arrays tracked in this scope.\n    for (let i = 0; i < this.state.activeScope.track.length; i++) {\n      const tensor = this.state.activeScope.track[i];\n      if (!tensor.kept && !tensorsToTrackInParentSet.has(tensor.id)) {\n        tensor.dispose();\n      }\n    }\n\n    const oldScope = this.state.scopeStack.pop();\n    this.state.activeScope = this.state.scopeStack.length === 0 ?\n        null :\n        this.state.scopeStack[this.state.scopeStack.length - 1];\n\n    // Track the current result in the parent scope.\n    tensorsToTrackInParent.forEach(tensor => {\n      // Only track the tensor if was allocated in the inner scope and is not\n      // globally kept.\n      if (!tensor.kept && tensor.scopeId === oldScope.id) {\n        this.track(tensor);\n      }\n    });\n  }\n\n  /**\n   * Returns gradients of `f` with respect to each of the `xs`. The gradients\n   * returned are of the same length as `xs`, but some might be null if `f`\n   * was not a function of that `x`. It also takes optional dy to multiply the\n   * gradient, which defaults to `1`.\n   */\n  gradients<T extends Tensor>(\n      f: () => T, xs: Tensor[], dy?: T,\n      allowNoGradients = false): {value: T, grads: Tensor[]} {\n    util.assert(\n        xs.length > 0, () => 'gradients() received an empty list of xs.');\n    if (dy != null && dy.dtype !== 'float32') {\n      throw new Error(`dy must have 'float32' dtype, but has '${dy.dtype}'`);\n    }\n\n    const y = this.scopedRun(\n        () => this.startTape(), () => this.endTape(),\n        () => this.tidy('forward', f));\n\n    util.assert(\n        y instanceof Tensor,\n        () => 'The result y returned by f() must be a tensor.');\n    // Filter out the nodes that don't connect x => y.\n    const filteredTape = getFilteredNodesXToY(this.state.activeTape, xs, y);\n    if (!allowNoGradients && filteredTape.length === 0 && xs.length > 0) {\n      throw new Error(\n          'Cannot compute gradient of y=f(x) with respect to x. Make sure ' +\n          'that the f you passed encloses all operations that lead from x ' +\n          'to y.');\n    }\n\n    return this.tidy('backward', () => {\n      const accumulatedGradientMap: {[tensorId: number]: Tensor} = {};\n      accumulatedGradientMap[y.id] = (dy == null) ? ones(y.shape) : dy;\n\n      // Backprop gradients through the filtered nodes.\n      backpropagateGradients(\n          accumulatedGradientMap, filteredTape,\n          // Pass the tidy function to avoid circular dep with `tape.ts`.\n          f => this.tidy(f as ScopeFn<Tensor>));\n      const grads = xs.map(x => accumulatedGradientMap[x.id]);\n\n      if (this.state.gradientDepth === 0) {\n        // This means that we are not computing higher-order gradients\n        // and can clean up the tape.\n        this.state.activeTape.forEach(node => {\n          for (const tensor of node.saved) {\n            tensor.dispose();\n          }\n        });\n        this.state.activeTape = null;\n      }\n      return {value: y, grads};\n    });\n  }\n\n  customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n      (...args: Array<Tensor|GradSaveFunc>) => T {\n    util.assert(\n        util.isFunction(f),\n        () => 'The f passed in customGrad(f) must be a function.');\n    return (...inputs: Tensor[]): T => {\n      util.assert(\n          inputs.every(t => t instanceof Tensor),\n          () => 'The args passed in customGrad(f)(x1, x2,...) must all be ' +\n              'tensors');\n\n      let res: {\n        value: T,\n        gradFunc: (dy: T, saved: Tensor[]) => Tensor | Tensor[],\n      };\n      const inputMap: NamedTensorMap = {};\n      inputs.forEach((input, i) => {\n        inputMap[i] = input;\n      });\n      return this.runKernelFunc(\n          (_, save) => {\n            res = f(...[...inputs, save]);\n            util.assert(\n                res.value instanceof Tensor,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.value` is a tensor');\n            util.assert(\n                util.isFunction(res.gradFunc),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function.');\n            return res.value;\n          },\n          inputMap,\n          (dy: T, saved: Tensor[]) => {\n            const gradRes = res.gradFunc(dy, saved);\n            const grads: Tensor[] =\n                Array.isArray(gradRes) ? gradRes : [gradRes];\n            util.assert(\n                grads.length === inputs.length,\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'the same number of tensors as inputs passed to f(...).');\n            util.assert(\n                grads.every(t => t instanceof Tensor),\n                () => 'The function f passed in customGrad(f) must return an ' +\n                    'object where `obj.gradFunc` is a function that returns ' +\n                    'a list of only tensors.');\n            const gradMap: {[key: string]: () => Tensor} = {};\n            grads.forEach((grad, i) => {\n              gradMap[i] = () => grad;\n            });\n            return gradMap;\n          });\n    };\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.readSync(dataId);\n  }\n  read(dataId: DataId): Promise<BackendValues> {\n    // Route the read to the correct backend.\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.read(dataId);\n  }\n\n  async time(query: () => void): Promise<TimingInfo> {\n    const start = now();\n    const timingInfo = await this.backend.time(query) as TimingInfo;\n    timingInfo.wallMs = now() - start;\n    return timingInfo;\n  }\n\n  /**\n   * Tracks a Tensor in the current scope to be automatically cleaned up\n   * when the current scope ends, and returns the value.\n   *\n   * @param result The Tensor to track in the current scope.\n   */\n  private track<T extends Tensor>(result: T): T {\n    if (this.state.activeScope != null) {\n      result.scopeId = this.state.activeScope.id;\n      this.state.activeScope.track.push(result);\n    }\n\n    return result;\n  }\n\n  get registeredVariables(): NamedVariableMap {\n    return this.state.registeredVariables;\n  }\n\n  /**\n   * Resets the engine state. Removes all backends but does not remove\n   * registered backend factories.\n   */\n  reset(): void {\n    // Make any pending promise obsolete.\n    this.pendingBackendInitId++;\n\n    this.state.dispose();\n    this.ENV.reset();\n    this.state = new EngineState();\n\n    for (const backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n    this.backendName = null;\n    this.backendInstance = null;\n    this.pendingBackendInit = null;\n  }\n}\n\nfunction ones(shape: number[]): Tensor {\n  const values = makeOnesTypedArray(sizeFromShape(shape), 'float32');\n  return ENGINE.makeTensor(values, shape, 'float32');\n}\n\nlet GLOBAL: {_tfengine: Engine};\nfunction getGlobalNamespace(): {_tfengine: Engine} {\n  if (GLOBAL == null) {\n    // tslint:disable-next-line:no-any\n    let ns: any;\n    if (typeof (window) !== 'undefined') {\n      ns = window;\n    } else if (typeof (global) !== 'undefined') {\n      ns = global;\n    } else if (typeof (process) !== 'undefined') {\n      ns = process;\n    } else if (typeof (self) !== 'undefined') {\n      ns = self;\n    } else {\n      throw new Error('Could not find a global object');\n    }\n    GLOBAL = ns;\n  }\n  return GLOBAL;\n}\n\nfunction getOrMakeEngine(): Engine {\n  const ns = getGlobalNamespace();\n  if (ns._tfengine == null) {\n    const environment = new Environment(ns);\n    ns._tfengine = new Engine(environment);\n  }\n  setEnvironmentGlobal(ns._tfengine.ENV);\n\n  // Tell the current tensor interface that the global engine is responsible\n  // for tracking.\n  setTensorTracker(() => ns._tfengine);\n  return ns._tfengine;\n}\n\nexport const ENGINE = getOrMakeEngine();\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport * as util from './util';\n\nexport interface TapeNode {\n  id: number;\n  kernelName: string;\n  outputs: Tensor[];\n  inputs: NamedTensorMap;\n  // Optional params, defined only for ops with gradient impl.\n  gradient?: (dys: Tensor[]) => NamedGradientMap;\n  saved?: Tensor[];\n}\n\nexport type NamedGradientMap = {\n  [inputName: string]: () => Tensor;\n};\n\n/**\n * Computes a list of TapeNodes that connect x to y, filtering everything else\n * out and preserving the order of the original tape elements.\n *\n * @param tape The tape elements to filter.\n * @param xs The input Tensors.\n * @param y The output Tensor.\n */\nexport function getFilteredNodesXToY(\n    tape: TapeNode[], xs: Tensor[], y: Tensor): TapeNode[] {\n  // Forward pass to compute all the nodes and Tensors that are transitively a\n  // function of x.\n  const tensorsFromX: {[tensorId: number]: boolean} = {};\n  const nodesFromX: {[nodeId: number]: boolean} = {};\n  for (let i = 0; i < xs.length; i++) {\n    tensorsFromX[xs[i].id] = true;\n  }\n\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n    for (const inputName in nodeInputs) {\n      const input = nodeInputs[inputName];\n\n      let anyInputFromX = false;\n      for (let j = 0; j < xs.length; j++) {\n        if (tensorsFromX[input.id]) {\n          node.outputs.forEach(output => tensorsFromX[output.id] = true);\n          anyInputFromX = true;\n          nodesFromX[node.id] = true;\n          break;\n        }\n      }\n\n      if (anyInputFromX) {\n        break;\n      }\n    }\n  }\n\n  // Backward pass to find all of the nodes and Tensors that lead to y.\n  const tensorsLeadToY: {[tensorId: number]: boolean} = {};\n  tensorsLeadToY[y.id] = true;\n  const nodesToY: {[nodeId: number]: boolean} = {};\n\n  for (let i = tape.length - 1; i >= 0; i--) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n\n    // If any of the outputs lead to y, mark all of the inputs as leading to y.\n    for (let j = 0; j < node.outputs.length; j++) {\n      if (tensorsLeadToY[node.outputs[j].id]) {\n        for (const inputName in nodeInputs) {\n          tensorsLeadToY[nodeInputs[inputName].id] = true;\n          nodesToY[node.id] = true;\n        }\n        break;\n      }\n    }\n  }\n\n  // Return the paths that come from x and lead to y.\n  const filteredTape: TapeNode[] = [];\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n\n    if (nodesFromX[node.id] && nodesToY[node.id]) {\n      // Prune the inputs from the node that aren't a function of x.\n      const prunedInputs: {[inputName: string]: Tensor} = {};\n      for (const inputName in node.inputs) {\n        const nodeInput = node.inputs[inputName];\n        if (tensorsFromX[nodeInput.id]) {\n          prunedInputs[inputName] = nodeInput;\n        }\n      }\n\n      // Copy the node and overwrite inputsAndArgs to the pruned version.\n      const prunedNode = Object.assign({}, node);\n      prunedNode.inputs = prunedInputs;\n      prunedNode.outputs = node.outputs;\n\n      filteredTape.push(prunedNode);\n    }\n  }\n\n  return filteredTape;\n}\n\n/**\n * Backpropagate gradients through the filtered TapeNodes.\n *\n * @param tensorAccumulatedGradientMap A map of Tensor to its gradient. This map\n * is mutated by this method.\n * @param filteredTape The filtered TapeNodes to backprop through.\n */\nexport function backpropagateGradients(\n    tensorAccumulatedGradientMap: {[tensorId: number]: Tensor},\n    filteredTape: TapeNode[], tidy: (f: Function) => Tensor) {\n  // Walk the tape backward and keep a map of Tensor to its gradient.\n  for (let i = filteredTape.length - 1; i >= 0; i--) {\n    const node = filteredTape[i];\n\n    const dys: Tensor[] = [];\n    node.outputs.forEach(o => {\n      const gradTensor = tensorAccumulatedGradientMap[o.id];\n      if (gradTensor != null) {\n        dys.push(gradTensor);\n      } else {\n        // This particular output is not in the back-propagation subgraph, so it\n        // does not affect the final output, thus we put null for its dy.\n        dys.push(null);\n      }\n    });\n\n    if (node.gradient == null) {\n      throw new Error(\n          `Cannot compute gradient: gradient function not found ` +\n          `for ${node.kernelName}.`);\n    }\n\n    // Backprop dy through this node and accumulate gradients over the inputs.\n    const inputGradients = node.gradient(dys);\n\n    for (const inputName in node.inputs) {\n      if (!(inputName in inputGradients)) {\n        throw new Error(\n            `Cannot backprop through input ${inputName}. ` +\n            `Available gradients found: ${Object.keys(inputGradients)}.`);\n      }\n\n      // Call the gradient function.\n      const dx = tidy(() => inputGradients[inputName]());\n      if (dx.dtype !== 'float32') {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `${inputName} must have 'float32' dtype, but has '${dx.dtype}'`);\n      }\n      const x = node.inputs[inputName];\n      if (!util.arraysEqual(dx.shape, x.shape)) {\n        throw new Error(\n            `Error in gradient for op ${\n                node.kernelName}. The gradient of input ` +\n            `'${inputName}' has shape '${dx.shape}', which does not match ` +\n            `the shape of the input '${x.shape}'`);\n      }\n\n      if (tensorAccumulatedGradientMap[x.id] == null) {\n        tensorAccumulatedGradientMap[x.id] = dx;\n      } else {\n        const curGradient = tensorAccumulatedGradientMap[x.id];\n        tensorAccumulatedGradientMap[x.id] = curGradient.add(dx);\n        curGradient.dispose();\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function isMobile(): boolean {\n  // tslint:disable-next-line:no-any\n  const a = navigator.userAgent || navigator.vendor || (window as any).opera;\n  // tslint:disable-next-line:max-line-length\n  return /(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i\n             .test(a) ||\n      // tslint:disable-next-line:max-line-length\n      /1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\\-(n|u)|c55\\/|capi|ccwa|cdm\\-|cell|chtm|cldc|cmd\\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\\-s|devi|dica|dmob|do(c|p)o|ds(12|\\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\\-|_)|g1 u|g560|gene|gf\\-5|g\\-mo|go(\\.w|od)|gr(ad|un)|haie|hcit|hd\\-(m|p|t)|hei\\-|hi(pt|ta)|hp( i|ip)|hs\\-c|ht(c(\\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\\-(20|go|ma)|i230|iac( |\\-|\\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\\/)|klon|kpt |kwc\\-|kyo(c|k)|le(no|xi)|lg( g|\\/(k|l|u)|50|54|\\-[a-w])|libw|lynx|m1\\-w|m3ga|m50\\/|ma(te|ui|xo)|mc(01|21|ca)|m\\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\\-2|po(ck|rt|se)|prox|psio|pt\\-g|qa\\-a|qc(07|12|21|32|60|\\-[2-7]|i\\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\\-|oo|p\\-)|sdk\\/|se(c(\\-|0|1)|47|mc|nd|ri)|sgh\\-|shar|sie(\\-|m)|sk\\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\\-|v\\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\\-|tdg\\-|tel(i|m)|tim\\-|t\\-mo|to(pl|sh)|ts(70|m\\-|m3|m5)|tx\\-9|up(\\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\\-|your|zeto|zte\\-/i\n          .test(a.substr(0, 4));\n}\n\nexport function isBrowser(): boolean {\n  return (typeof window !== 'undefined' && window.document != null) ||\n      //@ts-ignore\n      (typeof WorkerGlobalScope !== 'undefined');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport * as device_util from './device_util';\nimport {env} from './environment';\n\nconst ENV = env();\n\n/**\n * This file contains environment-related flag registrations.\n */\n\n/** Whether to enable debug mode. */\nENV.registerFlag('DEBUG', () => false, debugValue => {\n  if (debugValue) {\n    console.warn(\n        'Debugging mode is ON. The output of every math call will ' +\n        'be downloaded to CPU and checked for NaNs. ' +\n        'This significantly impacts performance.');\n  }\n});\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag('IS_BROWSER', () => device_util.isBrowser());\n\n/** Whether we are in a browser (as versus, say, node.js) environment. */\nENV.registerFlag(\n    'IS_NODE',\n    () => (typeof process !== 'undefined') &&\n        (typeof process.versions !== 'undefined') &&\n        (typeof process.versions.node !== 'undefined'));\n\n/** Whether this browser is Chrome. */\nENV.registerFlag(\n    'IS_CHROME',\n    () => typeof navigator !== 'undefined' && navigator != null &&\n        navigator.userAgent != null && /Chrome/.test(navigator.userAgent) &&\n        /Google Inc/.test(navigator.vendor));\n\n/**\n * True when the environment is \"production\" where we disable safety checks\n * to gain performance.\n */\nENV.registerFlag('PROD', () => false);\n\n/**\n * Whether to do sanity checks when inferring a shape from user-provided\n * values, used when creating a new tensor.\n */\nENV.registerFlag(\n    'TENSORLIKE_CHECK_SHAPE_CONSISTENCY', () => ENV.getBool('DEBUG'));\n\n/** Whether deprecation warnings are enabled. */\nENV.registerFlag('DEPRECATION_WARNINGS_ENABLED', () => true);\n\n/** True if running unit tests. */\nENV.registerFlag('IS_TEST', () => false);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst contexts: {[key: string]: WebGLRenderingContext} = {};\n\nconst WEBGL_ATTRIBUTES: WebGLContextAttributes = {\n  alpha: false,\n  antialias: false,\n  premultipliedAlpha: false,\n  preserveDrawingBuffer: false,\n  depth: false,\n  stencil: false,\n  failIfMajorPerformanceCaveat: true\n};\n\nexport function setWebGLContext(\n    webGLVersion: number, gl: WebGLRenderingContext) {\n  contexts[webGLVersion] = gl;\n}\n\nexport function getWebGLContext(webGLVersion: number): WebGLRenderingContext {\n  if (!(webGLVersion in contexts)) {\n    contexts[webGLVersion] = getWebGLRenderingContext(webGLVersion);\n  }\n  const gl = contexts[webGLVersion];\n  if (gl.isContextLost()) {\n    delete contexts[webGLVersion];\n    return getWebGLContext(webGLVersion);\n  }\n\n  gl.disable(gl.DEPTH_TEST);\n  gl.disable(gl.STENCIL_TEST);\n  gl.disable(gl.BLEND);\n  gl.disable(gl.DITHER);\n  gl.disable(gl.POLYGON_OFFSET_FILL);\n  gl.disable(gl.SAMPLE_COVERAGE);\n  gl.enable(gl.SCISSOR_TEST);\n  gl.enable(gl.CULL_FACE);\n  gl.cullFace(gl.BACK);\n\n  return contexts[webGLVersion];\n}\n\nfunction createCanvas(webGLVersion: number) {\n  if (typeof OffscreenCanvas !== 'undefined' && webGLVersion === 2) {\n    return new OffscreenCanvas(300, 150);\n  } else if (typeof document !== 'undefined') {\n    return document.createElement('canvas');\n  } else {\n    throw new Error('Cannot create a canvas in this context');\n  }\n}\n\nfunction getWebGLRenderingContext(webGLVersion: number): WebGLRenderingContext {\n  if (webGLVersion !== 1 && webGLVersion !== 2) {\n    throw new Error('Cannot get WebGL rendering context, WebGL is disabled.');\n  }\n  const canvas = createCanvas(webGLVersion);\n\n  canvas.addEventListener('webglcontextlost', (ev: Event) => {\n    ev.preventDefault();\n    delete contexts[webGLVersion];\n  }, false);\n  if (webGLVersion === 1) {\n    return (canvas.getContext('webgl', WEBGL_ATTRIBUTES) ||\n            canvas.getContext('experimental-webgl', WEBGL_ATTRIBUTES)) as\n        WebGLRenderingContext;\n  }\n  return canvas.getContext('webgl2', WEBGL_ATTRIBUTES) as WebGLRenderingContext;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {DataId, Tensor} from '../../tensor';\nimport {BackendValues, DataType} from '../../types';\nimport * as util from '../../util';\n\nexport enum PackingScheme {\n  /**\n   * All values in a single texel are densely packed without any constraints.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 4]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   010|011   020|021\n   * -------   -------   -------\n   * 002|003   012|013   022|023\n   *\n   * 100|101   110|111   120|121\n   * -------   -------   -------\n   * 102|103   112|113   122|123\n   *\n   */\n  DENSE,\n\n  /**\n   * Single texels contain only values from the same batch, and from adjacent\n   * rows and columns.\n   *\n   * This is how the shader encodes a tensor with shape = [2, 3, 5]\n   * (indices are [batch, row, col]).\n   *\n   * 000|001   002|003   004|xxx   020|021   022|023   024|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   * 100|101   102|103   104|xxx   120|121   122|123   124|xxx\n   * -------   -------   -------   -------   -------   -------\n   * 110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n   *\n   */\n  SHARED_BATCH\n}\n\nexport enum TextureUsage {\n  RENDER,\n  UPLOAD,\n  PIXELS,\n  DOWNLOAD\n}\n\nexport enum PhysicalTextureType {\n  UNPACKED_FLOAT16,\n  UNPACKED_FLOAT32,\n  PACKED_4X1_UNSIGNED_BYTE,\n  PACKED_2X2_FLOAT32,\n  PACKED_2X2_FLOAT16\n}\n\nexport interface TextureData {\n  // Required.\n  shape: number[];\n  dtype: DataType;\n\n  // Optional.\n  values?: BackendValues;\n  texture?: WebGLTexture;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field. When this is defined, texture will be null.\n  complexTensors?: {real: Tensor, imag: Tensor};\n  /** [rows, columns] shape of the texture. */\n  texShape?: [number, number];\n  usage?: TextureUsage;\n  isPacked?: boolean;\n\n  // Available when the tensor has been sliced.\n  slice?: {\n    // Offset in the 'flat index' space.\n    flatOffset: number;\n    // Used for counting how many sliced tensors point to the same texture.\n    origDataId: DataId;\n  };\n}\n\nexport function getUnpackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns, rows];\n}\n\nexport function getUnpackedArraySizeFromMatrixSize(\n    matrixSize: number, channelsPerTexture: number): number {\n  return matrixSize * channelsPerTexture;\n}\n\nexport function getColorMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [columns * 4, rows];\n}\n\n/**\n * Get shape for densely packed RGBA texture.\n */\nexport function getDenseTexShape(shape: number[]): [number, number] {\n  const size = util.sizeFromShape(shape);\n  const texelsNeeded = Math.ceil(size / 4);\n  return util.sizeToSquarishShape(texelsNeeded);\n}\n\nexport function getMatrixSizeFromUnpackedArraySize(\n    unpackedSize: number, channelsPerTexture: number): number {\n  if (unpackedSize % channelsPerTexture !== 0) {\n    throw new Error(\n        `unpackedSize (${unpackedSize}) must be a multiple of ` +\n        `${channelsPerTexture}`);\n  }\n  return unpackedSize / channelsPerTexture;\n}\n\nexport function decodeMatrixFromUnpackedColorRGBAArray(\n    unpackedArray: Float32Array, matrix: Float32Array, channels: number) {\n  const requiredSize = unpackedArray.length * channels / 4;\n  if (matrix.length < requiredSize) {\n    throw new Error(\n        `matrix length (${matrix.length}) must be >= ${requiredSize}`);\n  }\n  let dst = 0;\n  for (let src = 0; src < unpackedArray.length; src += 4) {\n    for (let c = 0; c < channels; c++) {\n      matrix[dst++] = unpackedArray[src + c];\n    }\n  }\n}\n\nexport function getPackedMatrixTextureShapeWidthHeight(\n    rows: number, columns: number): [number, number] {\n  return [\n    Math.max(1, Math.ceil(columns / 2)), Math.max(1, Math.ceil(rows / 2))\n  ];\n}\n\nexport function getPackedRGBAArraySizeFromMatrixShape(\n    rows: number, columns: number): number {\n  const [w, h] = getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return w * h * 4;\n}\n\nexport interface TextureConfig {\n  internalFormatFloat: number;\n  textureFormatFloat: number;\n  internalFormatPackedHalfFloat: number;\n  internalFormatHalfFloat: number;\n  internalFormatPackedFloat: number;\n\n  // The format to use during a gl.readPixels call.\n  downloadTextureFormat: number;\n  // How many channels need to be unpacked after a gl.readPixels call.\n  downloadUnpackNumChannels: number;\n\n  defaultNumChannels: number;\n  textureTypeHalfFloat: number;\n  textureTypeFloat: number;\n}\n\nexport function getTextureConfig(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension?: any): TextureConfig {\n  // tslint:disable-next-line:no-any\n  const glany = gl as any;\n\n  let internalFormatFloat: number;\n  let internalFormatHalfFloat: number;\n  let internalFormatPackedHalfFloat: number;\n  let internalFormatPackedFloat: number;\n  let textureFormatFloat: number;\n\n  let downloadTextureFormat: number;\n  let downloadUnpackNumChannels: number;\n\n  let defaultNumChannels: number;\n  let textureTypeHalfFloat: number;\n  let textureTypeFloat: number;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    internalFormatFloat = glany.R32F;\n    internalFormatHalfFloat = glany.R16F;\n    internalFormatPackedHalfFloat = glany.RGBA16F;\n    internalFormatPackedFloat = glany.RGBA32F;\n    textureFormatFloat = glany.RED;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 1;\n    textureTypeHalfFloat = glany.HALF_FLOAT;\n    textureTypeFloat = glany.FLOAT;\n  } else {\n    internalFormatFloat = gl.RGBA;\n    internalFormatHalfFloat = gl.RGBA;\n    internalFormatPackedHalfFloat = gl.RGBA;\n    internalFormatPackedFloat = glany.RGBA;\n    textureFormatFloat = gl.RGBA;\n    downloadUnpackNumChannels = 4;\n    defaultNumChannels = 4;\n    textureTypeHalfFloat = textureHalfFloatExtension != null ?\n        textureHalfFloatExtension.HALF_FLOAT_OES :\n        null;\n    textureTypeFloat = gl.FLOAT;\n  }\n  downloadTextureFormat = gl.RGBA;\n\n  return {\n    internalFormatFloat,\n    internalFormatHalfFloat,\n    internalFormatPackedHalfFloat,\n    internalFormatPackedFloat,\n    textureFormatFloat,\n    downloadTextureFormat,\n    downloadUnpackNumChannels,\n    defaultNumChannels,\n    textureTypeHalfFloat,\n    textureTypeFloat\n  };\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport * as util from '../../util';\n\nimport {getWebGLContext} from './canvas_util';\nimport {getTextureConfig} from './tex_util';\n\nexport function callAndCheck<T>(\n    gl: WebGLRenderingContext, debugMode: boolean, func: () => T): T {\n  const returnValue = func();\n  if (debugMode) {\n    checkWebGLError(gl);\n  }\n  return returnValue;\n}\n\nfunction checkWebGLError(gl: WebGLRenderingContext) {\n  const error = gl.getError();\n  if (error !== gl.NO_ERROR) {\n    throw new Error('WebGL Error: ' + getWebGLErrorMessage(gl, error));\n  }\n}\n\n// https://en.wikipedia.org/wiki/Half-precision_floating-point_format\nconst MIN_FLOAT16 = 5.96e-8;\nconst MAX_FLOAT16 = 65504;\n\nexport function canBeRepresented(num: number): boolean {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED') || num === 0 ||\n      (MIN_FLOAT16 < Math.abs(num) && Math.abs(num) < MAX_FLOAT16)) {\n    return true;\n  }\n  return false;\n}\n\nexport function getWebGLErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.NO_ERROR:\n      return 'NO_ERROR';\n    case gl.INVALID_ENUM:\n      return 'INVALID_ENUM';\n    case gl.INVALID_VALUE:\n      return 'INVALID_VALUE';\n    case gl.INVALID_OPERATION:\n      return 'INVALID_OPERATION';\n    case gl.INVALID_FRAMEBUFFER_OPERATION:\n      return 'INVALID_FRAMEBUFFER_OPERATION';\n    case gl.OUT_OF_MEMORY:\n      return 'OUT_OF_MEMORY';\n    case gl.CONTEXT_LOST_WEBGL:\n      return 'CONTEXT_LOST_WEBGL';\n    default:\n      return `Unknown error code ${status}`;\n  }\n}\n\nexport function getExtensionOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, extensionName: string): {} {\n  return throwIfNull<{}>(\n      gl, debug, () => gl.getExtension(extensionName),\n      'Extension \"' + extensionName + '\" not supported on this browser.');\n}\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    vertexShaderSource: string): WebGLShader {\n  const vertexShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.VERTEX_SHADER),\n      'Unable to create vertex WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(vertexShader, vertexShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(vertexShader));\n  if (gl.getShaderParameter(vertexShader, gl.COMPILE_STATUS) === false) {\n    console.log(gl.getShaderInfoLog(vertexShader));\n    throw new Error('Failed to compile vertex shader.');\n  }\n  return vertexShader;\n}\n\nexport function createFragmentShader(\n    gl: WebGLRenderingContext, debug: boolean,\n    fragmentShaderSource: string): WebGLShader {\n  const fragmentShader: WebGLShader = throwIfNull<WebGLShader>(\n      gl, debug, () => gl.createShader(gl.FRAGMENT_SHADER),\n      'Unable to create fragment WebGLShader.');\n  callAndCheck(\n      gl, debug, () => gl.shaderSource(fragmentShader, fragmentShaderSource));\n  callAndCheck(gl, debug, () => gl.compileShader(fragmentShader));\n  if (gl.getShaderParameter(fragmentShader, gl.COMPILE_STATUS) === false) {\n    logShaderSourceAndInfoLog(\n        fragmentShaderSource, gl.getShaderInfoLog(fragmentShader));\n    throw new Error('Failed to compile fragment shader.');\n  }\n  return fragmentShader;\n}\n\nconst lineNumberRegex = /ERROR: [0-9]+:([0-9]+):/g;\nfunction logShaderSourceAndInfoLog(\n    shaderSource: string, shaderInfoLog: string) {\n  const lineNumberRegexResult = lineNumberRegex.exec(shaderInfoLog);\n  if (lineNumberRegexResult == null) {\n    console.log(`Couldn't parse line number in error: ${shaderInfoLog}`);\n    console.log(shaderSource);\n    return;\n  }\n\n  const lineNumber = +lineNumberRegexResult[1];\n\n  const shaderLines = shaderSource.split('\\n');\n  const pad = shaderLines.length.toString().length + 2;\n  const linesWithLineNumbers = shaderLines.map(\n      (line, lineNumber) =>\n          util.rightPad((lineNumber + 1).toString(), pad) + line);\n  let maxLineLength = 0;\n  for (let i = 0; i < linesWithLineNumbers.length; i++) {\n    maxLineLength = Math.max(linesWithLineNumbers[i].length, maxLineLength);\n  }\n\n  const beforeErrorLines = linesWithLineNumbers.slice(0, lineNumber - 1);\n  const errorLine = linesWithLineNumbers.slice(lineNumber - 1, lineNumber);\n  const afterErrorLines = linesWithLineNumbers.slice(lineNumber);\n\n  console.log(beforeErrorLines.join('\\n'));\n  console.log(shaderInfoLog.split('\\n')[0]);\n  console.log(\n      `%c ${util.rightPad(errorLine[0], maxLineLength)}`,\n      'border:1px solid red; background-color:#e3d2d2; color:#a61717');\n  console.log(afterErrorLines.join('\\n'));\n}\n\nexport function createProgram(\n    gl: WebGLRenderingContext, debug: boolean): WebGLProgram {\n  return throwIfNull<WebGLProgram>(\n      gl, debug, () => gl.createProgram(), 'Unable to create WebGLProgram.');\n}\n\nexport function linkProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.linkProgram(program));\n  if (gl.getProgramParameter(program, gl.LINK_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Failed to link vertex and fragment shaders.');\n  }\n}\n\nexport function validateProgram(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram) {\n  callAndCheck(gl, debug, () => gl.validateProgram(program));\n  if (gl.getProgramParameter(program, gl.VALIDATE_STATUS) === false) {\n    console.log(gl.getProgramInfoLog(program));\n    throw new Error('Shader program validation failed.');\n  }\n}\n\nexport function createStaticVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean,\n    data: Float32Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug, () => gl.bufferData(gl.ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function createStaticIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean, data: Uint16Array): WebGLBuffer {\n  const buffer: WebGLBuffer = throwIfNull<WebGLBuffer>(\n      gl, debug, () => gl.createBuffer(), 'Unable to create WebGLBuffer');\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.bufferData(gl.ELEMENT_ARRAY_BUFFER, data, gl.STATIC_DRAW));\n  return buffer;\n}\n\nexport function getNumChannels(): number {\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    return 1;\n  }\n  return 4;\n}\n\nexport function createTexture(\n    gl: WebGLRenderingContext, debug: boolean): WebGLTexture {\n  return throwIfNull<WebGLTexture>(\n      gl, debug, () => gl.createTexture(), 'Unable to create WebGLTexture.');\n}\n\nexport function validateTextureSize(width: number, height: number) {\n  const maxTextureSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if ((width <= 0) || (height <= 0)) {\n    const requested = `[${width}x${height}]`;\n    throw new Error('Requested texture size ' + requested + ' is invalid.');\n  }\n  if ((width > maxTextureSize) || (height > maxTextureSize)) {\n    const requested = `[${width}x${height}]`;\n    const max = `[${maxTextureSize}x${maxTextureSize}]`;\n    throw new Error(\n        'Requested texture size ' + requested +\n        ' greater than WebGL maximum on this browser / GPU ' + max + '.');\n  }\n}\n\nexport function createFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLFramebuffer {\n  return throwIfNull<WebGLFramebuffer>(\n      gl, debug, () => gl.createFramebuffer(),\n      'Unable to create WebGLFramebuffer.');\n}\n\nexport function bindVertexBufferToProgramAttribute(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    attribute: string, buffer: WebGLBuffer, arrayEntriesPerItem: number,\n    itemStrideInBytes: number, itemOffsetInBytes: number): boolean {\n  const loc = gl.getAttribLocation(program, attribute);\n  if (loc === -1) {\n    // The GPU compiler decided to strip out this attribute because it's unused,\n    // thus no need to bind.\n    return false;\n  }\n  callAndCheck(gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, buffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.vertexAttribPointer(\n          loc, arrayEntriesPerItem, gl.FLOAT, false, itemStrideInBytes,\n          itemOffsetInBytes));\n  callAndCheck(gl, debug, () => gl.enableVertexAttribArray(loc));\n  return true;\n}\n\nexport function bindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n}\n\nexport function unbindTextureUnit(\n    gl: WebGLRenderingContext, debug: boolean, textureUnit: number) {\n  validateTextureUnit(gl, textureUnit);\n  callAndCheck(gl, debug, () => gl.activeTexture(gl.TEXTURE0 + textureUnit));\n  callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function getProgramUniformLocationOrThrow(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return throwIfNull<WebGLUniformLocation>(\n      gl, debug, () => gl.getUniformLocation(program, uniformName),\n      'uniform \"' + uniformName + '\" not present in program.');\n}\n\nexport function getProgramUniformLocation(\n    gl: WebGLRenderingContext, program: WebGLProgram,\n    uniformName: string): WebGLUniformLocation {\n  return gl.getUniformLocation(program, uniformName);\n}\n\nexport function bindTextureToProgramUniformSampler(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    texture: WebGLTexture, uniformSamplerLocation: WebGLUniformLocation,\n    textureUnit: number) {\n  callAndCheck(\n      gl, debug, () => bindTextureUnit(gl, debug, texture, textureUnit));\n  callAndCheck(\n      gl, debug, () => gl.uniform1i(uniformSamplerLocation, textureUnit));\n}\n\nexport function bindCanvasToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean) {\n  callAndCheck(gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n  callAndCheck(\n      gl, debug, () => gl.viewport(0, 0, gl.canvas.width, gl.canvas.height));\n  callAndCheck(\n      gl, debug, () => gl.scissor(0, 0, gl.canvas.width, gl.canvas.height));\n}\n\nexport function bindColorTextureToFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0));\n}\n\nexport function unbindColorTextureFromFramebuffer(\n    gl: WebGLRenderingContext, debug: boolean, framebuffer: WebGLFramebuffer) {\n  callAndCheck(\n      gl, debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer));\n  callAndCheck(\n      gl, debug,\n      () => gl.framebufferTexture2D(\n          gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, null, 0));\n}\n\nexport function validateFramebuffer(gl: WebGLRenderingContext) {\n  const status = gl.checkFramebufferStatus(gl.FRAMEBUFFER);\n  if (status !== gl.FRAMEBUFFER_COMPLETE) {\n    throw new Error(\n        'Error binding framebuffer: ' + getFramebufferErrorMessage(gl, status));\n  }\n}\n\nexport function getFramebufferErrorMessage(\n    gl: WebGLRenderingContext, status: number): string {\n  switch (status) {\n    case gl.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:\n      return 'FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT';\n    case gl.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:\n      return 'FRAMEBUFFER_INCOMPLETE_DIMENSIONS';\n    case gl.FRAMEBUFFER_UNSUPPORTED:\n      return 'FRAMEBUFFER_UNSUPPORTED';\n    default:\n      return `unknown error ${status}`;\n  }\n}\n\nfunction throwIfNull<T>(\n    gl: WebGLRenderingContext, debug: boolean, returnTOrNull: () => T | null,\n    failureMessage: string): T {\n  const tOrNull: T|null = callAndCheck(gl, debug, () => returnTOrNull());\n  if (tOrNull == null) {\n    throw new Error(failureMessage);\n  }\n  return tOrNull;\n}\n\nfunction validateTextureUnit(gl: WebGLRenderingContext, textureUnit: number) {\n  const maxTextureUnit = gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS - 1;\n  const glTextureUnit = textureUnit + gl.TEXTURE0;\n  if (glTextureUnit < gl.TEXTURE0 || glTextureUnit > maxTextureUnit) {\n    const textureUnitRange = `[gl.TEXTURE0, gl.TEXTURE${maxTextureUnit}]`;\n    throw new Error(`textureUnit must be in ${textureUnitRange}.`);\n  }\n}\n\nexport function getBatchDim(shape: number[], dimsToSkip = 2): number {\n  return util.sizeFromShape(shape.slice(0, shape.length - dimsToSkip));\n}\n\nexport function getRowsCols(shape: number[]): [number, number] {\n  if (shape.length === 0) {\n    throw Error('Cannot get rows and columns of an empty shape array.');\n  }\n\n  return [\n    shape.length > 1 ? shape[shape.length - 2] : 1, shape[shape.length - 1]\n  ];\n}\n\nexport function getShapeAs3D(shape: number[]): [number, number, number] {\n  let shapeAs3D: [number, number, number] = [1, 1, 1];\n  const isScalar = shape.length === 0 || (shape.length === 1 && shape[0] === 1);\n  if (!isScalar) {\n    shapeAs3D =\n        [getBatchDim(shape), ...getRowsCols(shape)] as [number, number, number];\n  }\n  return shapeAs3D;\n}\n\nexport function getTextureShapeFromLogicalShape(\n    logShape: number[], isPacked = false): [number, number] {\n  let maxTexSize = env().getNumber('WEBGL_MAX_TEXTURE_SIZE');\n  if (isPacked) {\n    maxTexSize = maxTexSize * 2;\n\n    // This logic ensures we accurately count the number of packed texels needed\n    // to accommodate the tensor. We can only pack values in the same texel if\n    // they are from adjacent pairs of rows/cols within the same batch. So if a\n    // tensor has 3 rows, we pretend it has 4 rows in order to account for the\n    // fact that the texels containing the third row are half empty.\n    logShape = logShape.map(\n        (d, i) => i >= logShape.length - 2 ?\n            util.nearestLargerEven(logShape[i]) :\n            logShape[i]);\n\n    // Packed texture height is at least 2 (the channel height of a single\n    // texel).\n    if (logShape.length === 1) {\n      logShape = [2, logShape[0]];\n    }\n  }\n\n  // If logical shape is 2, we don't squeeze, since we want to match physical.\n  if (logShape.length !== 2) {\n    const squeezeResult = util.squeezeShape(logShape);\n    logShape = squeezeResult.newShape;\n  }\n\n  let size = util.sizeFromShape(logShape);\n  if (logShape.length <= 1 && size <= maxTexSize) {\n    return [1, size];\n  } else if (\n      logShape.length === 2 && logShape[0] <= maxTexSize &&\n      logShape[1] <= maxTexSize) {\n    return logShape as [number, number];\n  } else if (\n      logShape.length === 3 && logShape[0] * logShape[1] <= maxTexSize &&\n      logShape[2] <= maxTexSize) {\n    return [logShape[0] * logShape[1], logShape[2]];\n  } else if (\n      logShape.length === 3 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2]];\n  } else if (\n      logShape.length === 4 &&\n      logShape[0] * logShape[1] * logShape[2] <= maxTexSize &&\n      logShape[3] <= maxTexSize) {\n    return [logShape[0] * logShape[1] * logShape[2], logShape[3]];\n  } else if (\n      logShape.length === 4 && logShape[0] <= maxTexSize &&\n      logShape[1] * logShape[2] * logShape[3] <= maxTexSize) {\n    return [logShape[0], logShape[1] * logShape[2] * logShape[3]];\n  } else {\n    if (isPacked) {\n      // For packed textures size equals the number of channels required to\n      // accommodate the texture data. However in order to squarify such that\n      // inner dimensions stay even, we rewrite size to equal the number of\n      // texels. Then in the return statement we rehydrate the squarified\n      // dimensions to channel units.\n\n      const batchDim = getBatchDim(logShape);\n      let rows = 2, cols = 2;\n      if (logShape.length) {\n        [rows, cols] = getRowsCols(logShape);\n      }\n      size = batchDim * (rows / 2) * (cols / 2);\n      return util.sizeToSquarishShape(size).map(d => d * 2) as [number, number];\n    }\n    return util.sizeToSquarishShape(size);\n  }\n}\n\nfunction isEven(n: number): boolean {\n  return n % 2 === 0;\n}\n\n/**\n * This determines whether reshaping a packed texture requires rearranging\n * the data within the texture, assuming 2x2 packing.\n */\nexport function isReshapeFree(shape1: number[], shape2: number[]): boolean {\n  shape1 = shape1.slice(-2);\n  shape2 = shape2.slice(-2);\n\n  if (util.arraysEqual(shape1, shape2)) {\n    return true;\n  }\n\n  if (!shape1.length || !shape2.length) {  // One of the shapes is a scalar.\n    return true;\n  }\n\n  if (shape1[0] === 0 || shape1[1] === 0 || shape2[0] === 0 ||\n      shape2[1] === 0) {\n    return true;\n  }\n\n  if (shape1.length !== shape2.length) {  // One of the shapes is a vector.\n    const shape1Cols = shape1.slice(-1)[0];\n    const shape2Cols = shape2.slice(-1)[0];\n    if (shape1Cols === shape2Cols) {\n      return true;\n    }\n\n    if (isEven(shape1Cols) && isEven(shape2Cols) &&\n        (shape1[0] === 1 || shape2[0] === 1)) {\n      return true;\n    }\n  }\n  return shape1[1] === shape2[1] && isEven(shape1[0]) && isEven(shape2[0]);\n}\n\n// We cache webgl params because the environment gets reset between\n// unit tests and we don't want to constantly query the WebGLContext for\n// MAX_TEXTURE_SIZE.\nlet MAX_TEXTURE_SIZE: number;\nlet MAX_TEXTURES_IN_SHADER: number;\n\nexport function getWebGLMaxTextureSize(webGLVersion: number): number {\n  if (MAX_TEXTURE_SIZE == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURE_SIZE = gl.getParameter(gl.MAX_TEXTURE_SIZE);\n  }\n  return MAX_TEXTURE_SIZE;\n}\n\nexport function resetMaxTextureSize() {\n  MAX_TEXTURE_SIZE = null;\n}\nexport function resetMaxTexturesInShader() {\n  MAX_TEXTURES_IN_SHADER = null;\n}\n\nexport function getMaxTexturesInShader(webGLVersion: number): number {\n  if (MAX_TEXTURES_IN_SHADER == null) {\n    const gl = getWebGLContext(webGLVersion);\n    MAX_TEXTURES_IN_SHADER = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS);\n  }\n  // We cap at 16 to avoid spurious runtime \"memory exhausted\" error.\n  return Math.min(16, MAX_TEXTURES_IN_SHADER);\n}\n\nexport function getWebGLDisjointQueryTimerVersion(webGLVersion: number):\n    number {\n  if (webGLVersion === 0) {\n    return 0;\n  }\n\n  let queryTimerVersion: number;\n  const gl = getWebGLContext(webGLVersion);\n\n  if (hasExtension(gl, 'EXT_disjoint_timer_query_webgl2') &&\n      webGLVersion === 2) {\n    queryTimerVersion = 2;\n  } else if (hasExtension(gl, 'EXT_disjoint_timer_query')) {\n    queryTimerVersion = 1;\n  } else {\n    queryTimerVersion = 0;\n  }\n  return queryTimerVersion;\n}\n\nexport function hasExtension(gl: WebGLRenderingContext, extensionName: string) {\n  const ext = gl.getExtension(extensionName);\n  return ext != null;\n}\n\nexport function isWebGLVersionEnabled(webGLVersion: 1|2) {\n  try {\n    const gl = getWebGLContext(webGLVersion);\n    if (gl != null) {\n      return true;\n    }\n  } catch (e) {\n    return false;\n  }\n  return false;\n}\n\nexport function isCapableOfRenderingToFloatTexture(webGLVersion: number):\n    boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n  } else {\n    if (!hasExtension(gl, 'EXT_color_buffer_float')) {\n      return false;\n    }\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\n/**\n * Check if we can download values from a float/half-float texture.\n *\n * Note that for performance reasons we use binding a texture to a framebuffer\n * as a proxy for ability to download float values later using readPixels. The\n * texture params of this texture will not match those in readPixels exactly\n * but if we are unable to bind some kind of float texture to the frameBuffer\n * then we definitely will not be able to read float values from it.\n */\nexport function isDownloadFloatTextureEnabled(webGLVersion: number): boolean {\n  if (webGLVersion === 0) {\n    return false;\n  }\n\n  const gl = getWebGLContext(webGLVersion);\n\n  if (webGLVersion === 1) {\n    if (!hasExtension(gl, 'OES_texture_float')) {\n      return false;\n    }\n    if (!hasExtension(gl, 'WEBGL_color_buffer_float')) {\n      return false;\n    }\n  } else {\n    if (hasExtension(gl, 'EXT_color_buffer_float')) {\n      return createFloatTextureAndBindToFramebuffer(gl);\n    }\n\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (hasExtension(gl, COLOR_BUFFER_HALF_FLOAT)) {\n      const textureHalfFloatExtension =\n          gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      return createHalfFloatTextureAndBindToFramebuffer(\n          gl, textureHalfFloatExtension);\n    }\n\n    return false;\n  }\n\n  const isFrameBufferComplete = createFloatTextureAndBindToFramebuffer(gl);\n  return isFrameBufferComplete;\n}\n\nfunction createFloatTextureAndBindToFramebuffer(gl: WebGLRenderingContext):\n    boolean {\n  const texConfig = getTextureConfig(gl);\n\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nfunction createHalfFloatTextureAndBindToFramebuffer(\n    // tslint:disable-next-line:no-any\n    gl: WebGLRenderingContext, textureHalfFloatExtension: any): boolean {\n  const texConfig = getTextureConfig(gl, textureHalfFloatExtension);\n  const texture = gl.createTexture();\n  gl.bindTexture(gl.TEXTURE_2D, texture);\n\n  const width = 1;\n  const height = 1;\n  gl.texImage2D(\n      gl.TEXTURE_2D, 0, texConfig.internalFormatHalfFloat, width, height, 0,\n      texConfig.textureFormatFloat, texConfig.textureTypeHalfFloat, null);\n\n  const frameBuffer = gl.createFramebuffer();\n  gl.bindFramebuffer(gl.FRAMEBUFFER, frameBuffer);\n  gl.framebufferTexture2D(\n      gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, texture, 0);\n\n  const isFrameBufferComplete =\n      gl.checkFramebufferStatus(gl.FRAMEBUFFER) === gl.FRAMEBUFFER_COMPLETE;\n\n  gl.bindTexture(gl.TEXTURE_2D, null);\n  gl.bindFramebuffer(gl.FRAMEBUFFER, null);\n  gl.deleteTexture(texture);\n  gl.deleteFramebuffer(frameBuffer);\n\n  return isFrameBufferComplete;\n}\n\nexport function isWebGLFenceEnabled(webGLVersion: number) {\n  if (webGLVersion !== 2) {\n    return false;\n  }\n  const gl = getWebGLContext(webGLVersion);\n\n  // tslint:disable-next-line:no-any\n  const isEnabled = (gl as any).fenceSync != null;\n  return isEnabled;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as device_util from '../../device_util';\nimport {env} from '../../environment';\n\nimport * as webgl_util from './webgl_util';\n\nconst ENV = env();\n\n/**\n * This file contains WebGL-specific flag registrations.\n */\n\n/**\n * True if WebGL is supported.\n */\nENV.registerFlag('HAS_WEBGL', () => ENV.getNumber('WEBGL_VERSION') > 0);\n\n/** 0: No WebGL, 1: WebGL 1.0, 2: WebGL 2.0. */\nENV.registerFlag('WEBGL_VERSION', () => {\n  if (webgl_util.isWebGLVersionEnabled(2)) {\n    return 2;\n  } else if (webgl_util.isWebGLVersionEnabled(1)) {\n    return 1;\n  }\n  return 0;\n});\n\nENV.registerFlag(\n    'WEBGL_BUFFER_SUPPORTED', () => ENV.get('WEBGL_VERSION') === 2);\n\n/** Whether the WebGL backend will sometimes forward ops to the CPU. */\nENV.registerFlag('WEBGL_CPU_FORWARD', () => true);\n\n/** Whether the WebGL backend will always use f16 textures for rendering. */\nENV.registerFlag('WEBGL_FORCE_F16_TEXTURES', () => false);\n\n/** Whether to turn all packing related flags on. */\nENV.registerFlag('WEBGL_PACK', () => ENV.getBool('HAS_WEBGL'));\n\n/** Whether we will pack the batchnormalization op. */\nENV.registerFlag('WEBGL_PACK_NORMALIZATION', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the clip op. */\nENV.registerFlag('WEBGL_PACK_CLIP', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack the depthwise conv op. */\n// TODO: https://github.com/tensorflow/tfjs/issues/1679\nENV.registerFlag('WEBGL_PACK_DEPTHWISECONV', () => false);\n\n/** Whether we will pack binary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_BINARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack unary ops. */\nENV.registerFlag(\n    'WEBGL_PACK_UNARY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack array ops. */\nENV.registerFlag(\n    'WEBGL_PACK_ARRAY_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack image ops. */\nENV.registerFlag(\n    'WEBGL_PACK_IMAGE_OPERATIONS', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will pack reduce ops. */\nENV.registerFlag('WEBGL_PACK_REDUCE', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether packed WebGL kernels lazily unpack their outputs. */\nENV.registerFlag('WEBGL_LAZILY_UNPACK', () => ENV.getBool('WEBGL_PACK'));\n\n/** Whether we will use the im2col algorithm to speed up convolutions. */\nENV.registerFlag('WEBGL_CONV_IM2COL', () => ENV.getBool('WEBGL_PACK'));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURE_SIZE',\n    () => webgl_util.getWebGLMaxTextureSize(ENV.getNumber('WEBGL_VERSION')));\n\n/** The maximum texture dimension. */\nENV.registerFlag(\n    'WEBGL_MAX_TEXTURES_IN_SHADER',\n    () => webgl_util.getMaxTexturesInShader(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * The disjoint_query_timer extension version.\n * 0: disabled, 1: EXT_disjoint_timer_query, 2:\n * EXT_disjoint_timer_query_webgl2.\n * In Firefox with WebGL 2.0,\n * EXT_disjoint_timer_query_webgl2 is not available, so we must use the\n * WebGL 1.0 extension.\n */\nENV.registerFlag('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION', () => {\n  const webGLVersion = ENV.getNumber('WEBGL_VERSION');\n\n  if (webGLVersion === 0) {\n    return 0;\n  }\n  return webgl_util.getWebGLDisjointQueryTimerVersion(webGLVersion);\n});\n\n/**\n * Whether the timer object from the disjoint_query_timer extension gives\n * timing information that is reliable.\n */\nENV.registerFlag(\n    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE',\n    () => ENV.getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0 &&\n        !device_util.isMobile());\n\n/**\n * Whether the device is physically capable of rendering to float32 textures.\n */\nENV.registerFlag(\n    'WEBGL_RENDER_FLOAT32_CAPABLE',\n    () => webgl_util.isCapableOfRenderingToFloatTexture(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Whether rendering to float32 textures is enabled. If disabled, renders to\n * float16 textures.\n */\nENV.registerFlag('WEBGL_RENDER_FLOAT32_ENABLED', () => {\n  return ENV.getBool('WEBGL_FORCE_F16_TEXTURES') ?\n      false :\n      ENV.getBool('WEBGL_RENDER_FLOAT32_CAPABLE');\n});\n\n/**\n * Whether downloading float textures is enabled (16 or 32 bit). If disabled,\n * uses IEEE 754 encoding of the float32 values to 4 uint8 when downloading.\n */\nENV.registerFlag(\n    'WEBGL_DOWNLOAD_FLOAT_ENABLED',\n    () => webgl_util.isDownloadFloatTextureEnabled(\n        ENV.getNumber('WEBGL_VERSION')));\n\n/** Whether the fence API is available. */\nENV.registerFlag(\n    'WEBGL_FENCE_API_ENABLED',\n    () => webgl_util.isWebGLFenceEnabled(ENV.getNumber('WEBGL_VERSION')));\n\n/**\n * Tensors with size <= than this will be uploaded as uniforms, not textures.\n */\nENV.registerFlag('WEBGL_SIZE_UPLOAD_UNIFORM', () => {\n  // Use uniform uploads only when 32bit floats are supported. In\n  // 16bit\n  // environments there are problems with comparing a 16bit texture value\n  // with a 32bit uniform value.\n  const useUniforms = ENV.getBool('WEBGL_RENDER_FLOAT32_ENABLED');\n  return useUniforms ? 4 : 0;\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from './backends/backend';\nimport {ENGINE, Engine, MemoryInfo, ProfileInfo, ScopeFn, TimingInfo} from './engine';\nimport {env} from './environment';\n\nimport {Platform} from './platforms/platform';\nimport {setDeprecationWarningFn, Tensor} from './tensor';\nimport {TensorContainer} from './tensor_types';\nimport {getTensorsInContainer} from './tensor_util';\n\n/**\n * Enables production mode which disables correctness checks in favor of\n * performance.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableProdMode(): void {\n  env().set('PROD', true);\n}\n\n/**\n * Enables debug mode which will log information about all executed kernels:\n * the elapsed time of the kernel execution, as well as the rank, shape, and\n * size of the output tensor.\n *\n * Debug mode will significantly slow down your application as it will\n * download the result of every operation to the CPU. This should not be used in\n * production. Debug mode does not affect the timing information of the kernel\n * execution as we do not measure download time in the kernel execution time.\n *\n * See also: `tf.profile`, `tf.memory`.\n */\n/** @doc {heading: 'Environment'} */\nexport function enableDebugMode(): void {\n  env().set('DEBUG', true);\n}\n\n/** Globally disables deprecation warnings */\nexport function disableDeprecationWarnings(): void {\n  env().set('DEPRECATION_WARNINGS_ENABLED', false);\n  console.warn(`TensorFlow.js deprecation warnings have been disabled.`);\n}\n\n/** Warn users about deprecated functionality. */\nexport function deprecationWarn(msg: string) {\n  if (env().getBool('DEPRECATION_WARNINGS_ENABLED')) {\n    console.warn(\n        msg + ' You can disable deprecation warnings with ' +\n        'tf.disableDeprecationWarnings().');\n  }\n}\nsetDeprecationWarningFn(deprecationWarn);\n\n/**\n * Dispose all variables kept in backend engine.\n */\n/** @doc {heading: 'Environment'} */\nexport function disposeVariables(): void {\n  ENGINE.disposeVariables();\n}\n\n/**\n * It returns the global engine that keeps track of all tensors and backends.\n */\n/** @doc {heading: 'Environment'} */\nexport function engine(): Engine {\n  return ENGINE;\n}\n\n/**\n * Returns memory info at the current time in the program. The result is an\n * object with the following properties:\n *\n * - `numBytes`: Number of bytes allocated (undisposed) at this time.\n * - `numTensors`: Number of unique tensors allocated.\n * - `numDataBuffers`: Number of unique data buffers allocated\n *   (undisposed) at this time, which is ≤ the number of tensors\n *   (e.g. `a.reshape(newShape)` makes a new Tensor that shares the same\n *   data buffer with `a`).\n * - `unreliable`: True if the memory usage is unreliable. See `reasons` when\n *    `unreliable` is true.\n * - `reasons`: `string[]`, reasons why the memory is unreliable, present if\n *    `unreliable` is true.\n *\n * WebGL Properties:\n * - `numBytesInGPU`: Number of bytes allocated (undisposed) in the GPU only at\n *     this time.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function memory(): MemoryInfo {\n  return ENGINE.memory();\n}\n\n/**\n * Executes the provided function `f()` and returns a promise that resolves\n * with information about the function's memory use:\n * - `newBytes`: the number of new bytes allocated\n * - `newTensors`: the number of new tensors created\n * - `peakBytes`: the peak number of bytes allocated\n * - `kernels`: an array of objects for each kernel involved that reports\n * their input and output shapes, number of bytes used, and number of new\n * tensors created.\n *\n * ```js\n * const profile = await tf.profile(() => {\n *   const x = tf.tensor1d([1, 2, 3]);\n *   let x2 = x.square();\n *   x2.dispose();\n *   x2 = x.square();\n *   x2.dispose();\n *   return x;\n * });\n *\n * console.log(`newBytes: ${profile.newBytes}`);\n * console.log(`newTensors: ${profile.newTensors}`);\n * console.log(`byte usage over all kernels: ${profile.kernels.map(k =>\n * k.totalBytesSnapshot)}`);\n * ```\n *\n */\n/** @doc {heading: 'Performance', subheading: 'Profile'} */\nexport function profile(f: () => TensorContainer): Promise<ProfileInfo> {\n  return ENGINE.profile(f);\n}\n\n/**\n * Executes the provided function `fn` and after it is executed, cleans up all\n * intermediate tensors allocated by `fn` except those returned by `fn`.\n * `fn` must not return a Promise (async functions not allowed). The returned\n * result can be a complex object.\n *\n * Using this method helps avoid memory leaks. In general, wrap calls to\n * operations in `tf.tidy` for automatic memory cleanup.\n *\n * NOTE: Variables do *not* get cleaned up when inside a tidy(). If you want to\n * dispose variables, please use `tf.disposeVariables` or call dispose()\n * directly on variables.\n *\n * ```js\n * // y = 2 ^ 2 + 1\n * const y = tf.tidy(() => {\n *   // a, b, and one will be cleaned up when the tidy ends.\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *   const b = a.square();\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * y.print();\n * ```\n *\n * @param nameOrFn The name of the closure, or the function to execute.\n *     If a name is provided, the 2nd argument should be the function.\n *     If debug mode is on, the timing and the memory usage of the function\n *     will be tracked and displayed on the console using the provided name.\n * @param fn The function to execute.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function tidy<T extends TensorContainer>(\n    nameOrFn: string|ScopeFn<T>, fn?: ScopeFn<T>): T {\n  return ENGINE.tidy(nameOrFn, fn);\n}\n\n/**\n * Disposes any `tf.Tensor`s found within the provided object.\n *\n * @param container an object that may be a `tf.Tensor` or may directly\n *     contain `tf.Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. If\n *     the object is not a `tf.Tensor` or does not contain `Tensors`, nothing\n *     happens. In general it is safe to pass any object here, except that\n *     `Promise`s are not supported.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function dispose(container: TensorContainer) {\n  const tensors = getTensorsInContainer(container);\n  tensors.forEach(tensor => tensor.dispose());\n}\n\n/**\n * Keeps a `tf.Tensor` generated inside a `tf.tidy` from being disposed\n * automatically.\n *\n * ```js\n * let b;\n * const y = tf.tidy(() => {\n *   const one = tf.scalar(1);\n *   const a = tf.scalar(2);\n *\n *   // b will not be cleaned up by the tidy. a and one will be cleaned up\n *   // when the tidy ends.\n *   b = tf.keep(a.square());\n *\n *   console.log('numTensors (in tidy): ' + tf.memory().numTensors);\n *\n *   // The value returned inside the tidy function will return\n *   // through the tidy, in this case to the variable y.\n *   return b.add(one);\n * });\n *\n * console.log('numTensors (outside tidy): ' + tf.memory().numTensors);\n * console.log('y:');\n * y.print();\n * console.log('b:');\n * b.print();\n * ```\n *\n * @param result The tensor to keep from being disposed.\n */\n/** @doc {heading: 'Performance', subheading: 'Memory'} */\nexport function keep<T extends Tensor>(result: T): T {\n  return ENGINE.keep(result);\n}\n\n/**\n * Executes `f()` and returns a promise that resolves with timing\n * information.\n *\n * The result is an object with the following properties:\n *\n * - `wallMs`: Wall execution time.\n * - `kernelMs`: Kernel execution time, ignoring data transfer. If using the\n * WebGL backend and the query timer extension is not available, this will\n * return an error object.\n * - On `WebGL` The following additional properties exist:\n *   - `uploadWaitMs`: CPU blocking time on texture uploads.\n *   - `downloadWaitMs`: CPU blocking time on texture downloads (readPixels).\n *\n * ```js\n * const x = tf.randomNormal([20, 20]);\n * const time = await tf.time(() => x.matMul(x));\n *\n * console.log(`kernelMs: ${time.kernelMs}, wallTimeMs: ${time.wallMs}`);\n * ```\n *\n * @param f The function to execute and time.\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nexport function time(f: () => void): Promise<TimingInfo> {\n  return ENGINE.time(f);\n}\n\n/**\n * Sets the backend (cpu, webgl, wasm, etc) responsible for creating tensors and\n * executing operations on those tensors. Returns a promise that resolves\n * to a boolean if the backend initialization was successful.\n *\n * Note this disposes the current backend, if any, as well as any tensors\n * associated with it. A new backend is initialized, even if it is of the\n * same type as the previous one.\n *\n * @param backendName The name of the backend. Currently supports\n *     `'webgl'|'cpu'` in the browser, `'tensorflow'` under node.js\n *     (requires tfjs-node), and `'wasm'` (requires tfjs-backend-wasm).\n */\n/** @doc {heading: 'Backends'} */\nexport function setBackend(backendName: string): Promise<boolean> {\n  return ENGINE.setBackend(backendName);\n}\n\n/**\n * Returns a promise that resolves when the currently selected backend (or the\n * highest priority one) has initialized. Await this promise when you are using\n * a backend that has async initialization.\n */\n/** @doc {heading: 'Backends'} */\nexport function ready(): Promise<void> {\n  return ENGINE.ready();\n}\n\n/**\n * Returns the current backend name (cpu, webgl, etc). The backend is\n * responsible for creating tensors and executing operations on those tensors.\n */\n/** @doc {heading: 'Backends'} */\nexport function getBackend(): string {\n  return ENGINE.backendName;\n}\n\n/**\n * Removes a backend and the registered factory.\n */\n/** @doc {heading: 'Backends'} */\nexport function removeBackend(name: string): void {\n  ENGINE.removeBackend(name);\n}\n\n/**\n * Finds the backend registered under the provided name. Returns null if the\n * name is not in the registry, or the registration hasn't finished yet.\n */\nexport function findBackend(name: string): KernelBackend {\n  return ENGINE.findBackend(name);\n}\n\n/**\n * Finds the backend factory registered under the provided name. Returns a\n * function that produces a new backend when called. Returns null if the name\n * is not in the registry.\n */\nexport function findBackendFactory(name: string): () =>\n    KernelBackend | Promise<KernelBackend> {\n  return ENGINE.findBackendFactory(name);\n}\n\n/**\n * Registers a global backend. The registration should happen when importing\n * a module file (e.g. when importing `backend_webgl.ts`), and is used for\n * modular builds (e.g. custom tfjs bundle with only webgl support).\n *\n * @param factory The backend factory function. When called, it should\n * return a backend instance, or a promise of an instance.\n * @param priority The priority of the backend (higher = more important).\n *     In case multiple backends are registered, the priority is used to find\n *     the best backend. Defaults to 1.\n * @return False if there is already a registered backend under this name, true\n *     if not.\n */\n/** @doc {heading: 'Backends'} */\nexport function registerBackend(\n    name: string, factory: () => KernelBackend | Promise<KernelBackend>,\n    priority = 1): boolean {\n  return ENGINE.registerBackend(name, factory, priority);\n}\n\n/**\n * Gets the current backend. If no backends have been initialized, this will\n * attempt to initialize the best backend. Will throw an error if the highest\n * priority backend has async initialization, in which case, you should call\n * 'await tf.ready()' before running other code.\n */\n/** @doc {heading: 'Backends'} */\nexport function backend(): KernelBackend {\n  return ENGINE.backend;\n}\n\n/**\n * Sets the global platform.\n *\n * @param platformName The name of this platform.\n * @param platform A platform implementation.\n */\nexport function setPlatform(platformName: string, platform: Platform) {\n  env().setPlatform(platformName, platform);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from './environment';\n\nexport function warn(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.warn(...msg);\n  }\n}\n\nexport function log(...msg: Array<{}>): void {\n  if (!env().getBool('IS_TEST')) {\n    console.log(...msg);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {env} from './environment';\nimport {Tensor} from './tensor';\nimport {DataType, TensorLike} from './types';\nimport {assert, flatten, inferDtype, isTypedArray, toTypedArray} from './util';\n\nexport function inferShape(val: TensorLike, dtype?: DataType): number[] {\n  let firstElem: typeof val = val;\n\n  if (isTypedArray(val)) {\n    return dtype === 'string' ? [] : [val.length];\n  }\n  if (!Array.isArray(val)) {\n    return [];  // Scalar.\n  }\n  const shape: number[] = [];\n\n  while (Array.isArray(firstElem) ||\n         isTypedArray(firstElem) && dtype !== 'string') {\n    shape.push(firstElem.length);\n    firstElem = firstElem[0];\n  }\n  if (Array.isArray(val) &&\n      env().getBool('TENSORLIKE_CHECK_SHAPE_CONSISTENCY')) {\n    deepAssertShapeConsistency(val, shape, []);\n  }\n\n  return shape;\n}\n\nfunction deepAssertShapeConsistency(\n    val: TensorLike, shape: number[], indices: number[]) {\n  indices = indices || [];\n  if (!(Array.isArray(val)) && !isTypedArray(val)) {\n    assert(\n        shape.length === 0,\n        () => `Element arr[${indices.join('][')}] is a primitive, ` +\n            `but should be an array/TypedArray of ${shape[0]} elements`);\n    return;\n  }\n  assert(\n      shape.length > 0,\n      () => `Element arr[${indices.join('][')}] should be a primitive, ` +\n          `but is an array of ${val.length} elements`);\n  assert(\n      val.length === shape[0],\n      () => `Element arr[${indices.join('][')}] should have ${shape[0]} ` +\n          `elements, but has ${val.length} elements`);\n  const subShape = shape.slice(1);\n  for (let i = 0; i < val.length; ++i) {\n    deepAssertShapeConsistency(val[i], subShape, indices.concat(i));\n  }\n}\n\nfunction assertDtype(\n    expectedDtype: DataType|'numeric', actualDType: DataType, argName: string,\n    functionName: string) {\n  if (expectedDtype == null) {\n    return;\n  }\n  if (expectedDtype !== 'numeric' && expectedDtype !== actualDType ||\n      expectedDtype === 'numeric' && actualDType === 'string') {\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must ` +\n        `be ${expectedDtype} tensor, but got ${actualDType} tensor`);\n  }\n}\n\nexport function convertToTensor<T extends Tensor>(\n    x: T|TensorLike, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T {\n  if (x instanceof Tensor) {\n    assertDtype(parseAsDtype, x.dtype, argName, functionName);\n    return x;\n  }\n  let inferredDtype = inferDtype(x);\n  // If the user expects a bool/int/float, use that info to update the\n  // inferredDtype when it is not a string.\n  if (inferredDtype !== 'string' &&\n      ['bool', 'int32', 'float32'].indexOf(parseAsDtype) >= 0) {\n    inferredDtype = parseAsDtype as DataType;\n  }\n  assertDtype(parseAsDtype, inferredDtype, argName, functionName);\n\n  if ((x == null) ||\n      (!isTypedArray(x) && !Array.isArray(x) && typeof x !== 'number' &&\n       typeof x !== 'boolean' && typeof x !== 'string')) {\n    const type = x == null ? 'null' : (x as {}).constructor.name;\n    throw new Error(\n        `Argument '${argName}' passed to '${functionName}' must be a ` +\n        `Tensor or TensorLike, but got '${type}'`);\n  }\n  const inferredShape = inferShape(x, inferredDtype);\n  if (!isTypedArray(x) && !Array.isArray(x)) {\n    x = [x] as number[];\n  }\n  const skipTypedArray = true;\n  const values = inferredDtype !== 'string' ?\n      toTypedArray(x, inferredDtype as DataType, env().getBool('DEBUG')) :\n      flatten(x as string[], [], skipTypedArray) as string[];\n  return ENGINE.makeTensor(values, inferredShape, inferredDtype) as T;\n}\n\nexport function convertToTensorArray<T extends Tensor>(\n    arg: Array<T|TensorLike>, argName: string, functionName: string,\n    parseAsDtype: DataType|'numeric' = 'numeric'): T[] {\n  if (!Array.isArray(arg)) {\n    throw new Error(\n        `Argument ${argName} passed to ${functionName} must be a ` +\n        '`Tensor[]` or `TensorLike[]`');\n  }\n  const tensors = arg as T[];\n  return tensors.map(\n      (t, i) => convertToTensor(t, `${argName}[${i}]`, functionName),\n      parseAsDtype);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\n/**\n * Returns true if the axis specifies the inner most dimensions of the\n * array.\n */\nexport function axesAreInnerMostDims(axes: number[], rank: number): boolean {\n  for (let i = 0; i < axes.length; ++i) {\n    if (axes[axes.length - i - 1] !== rank - 1 - i) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function combineLocations(\n    outputLoc: number[], reduceLoc: number[], axes: number[]): number[] {\n  const rank = outputLoc.length + reduceLoc.length;\n  const loc = [];\n  let outIdx = 0;\n  let reduceIdx = 0;\n    for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      loc.push(outputLoc[outIdx++]);\n    } else {\n      loc.push(reduceLoc[reduceIdx++]);\n    }\n  }\n  return loc;\n}\n\nexport function computeOutAndReduceShapes(\n    aShape: number[], axes: number[]): [number[], number[]] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (axes.indexOf(dim) === -1) {\n      outShape.push(aShape[dim]);\n    }\n  }\n  const reduceShape = axes.map(dim => aShape[dim]);\n  return [outShape, reduceShape];\n}\n\nexport function expandShapeToKeepDim(\n    shape: number[], axes: number[]): number[] {\n  const reduceSubShape = axes.map(x => 1);\n  return combineLocations(shape, reduceSubShape, axes);\n}\n\nexport function assertAxesAreInnerMostDims(\n    msg: string, axes: number[], rank: number): void {\n  util.assert(\n      axesAreInnerMostDims(axes, rank),\n      () => `${msg} supports only inner-most axes for now. ` +\n          `Got axes ${axes} and rank-${rank} input.`);\n}\n\n/**\n * Returns the axes permutation to be used with `tf.transpose`, if such\n * permutation is necessary. Otherwise it returns null. This method is used by\n * operations that operate only on inner-most axes.\n */\nexport function getAxesPermutation(axes: number[], rank: number): number[]|\n    null {\n  if (axesAreInnerMostDims(axes, rank)) {\n    return null;\n  }\n  const result: number[] = [];\n  for (let i = 0; i < rank; ++i) {\n    if (axes.indexOf(i) === -1) {\n      result.push(i);\n    }\n  }\n  axes.forEach(axis => result.push(axis));\n  return result;\n}\n\n/** Returns the axes permutation that undoes the original permutation. */\nexport function getUndoAxesPermutation(axes: number[]): number[] {\n  return axes.map((axis, i) => [i, axis])\n      .sort((a, b) => a[1] - b[1])\n      .map(x => x[0]);\n}\n\nexport function getInnerMostAxes(numAxes: number, rank: number): number[] {\n  const res: number[] = [];\n  for (let i = rank - numAxes; i < rank; ++i) {\n    res.push(i);\n  }\n  return res;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\nexport function assertParamsConsistent(shapes: number[][], axis: number) {\n  const rank = shapes[0].length;\n  shapes.forEach((shape, i) => {\n    util.assert(\n        shape.length === rank,\n        () =>\n            `Error in concat${rank}D: rank of tensors[${i}] must be the same ` +\n            `as the rank of the rest (${rank})`);\n  });\n\n  util.assert(\n      axis >= 0 && axis < rank,\n      () => `Error in concat${rank}D: axis must be between 0 and ${rank - 1}.`);\n\n  const firstShape = shapes[0];\n  shapes.forEach((shape, i) => {\n    for (let r = 0; r < rank; r++) {\n      util.assert(\n          (r === axis) || (shape[r] === firstShape[r]),\n          () => `Error in concat${rank}D: Shape of tensors[${i}] (${shape}) ` +\n              `does not match the shape of the rest (${firstShape}) ` +\n              `along the non-concatenated axis ${i}.`);\n    }\n  });\n}\n\nexport function computeOutShape(shapes: number[][], axis: number): number[] {\n  const outputShape = shapes[0].slice();\n  for (let i = 1; i < shapes.length; i++) {\n    outputShape[axis] += shapes[i][axis];\n  }\n  return outputShape;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\n\n/**\n * Used for wrapping functions that perform math operations on\n * Tensors. The function will be wrapped in a named scope that cleans all\n * memory usage after the function is done.\n */\nexport function op<T extends Function>(f: {[name: string]: T}): T {\n  const keys = Object.keys(f);\n  if (keys.length !== 1) {\n    throw new Error(\n        `Please provide an object with a single key ` +\n        `(operation name) mapping to a function. Got an object with ` +\n        `${keys.length} keys.`);\n  }\n\n  let opName = keys[0];\n  const fn = f[opName];\n\n  // Strip the underscore from the end of the function name.\n  if (opName.endsWith('_')) {\n    opName = opName.substring(0, opName.length - 1);\n  }\n\n  // tslint:disable-next-line:no-any\n  const f2 = (...args: any[]) => {\n    ENGINE.startScope(opName);\n    try {\n      const result = fn(...args);\n      if (result instanceof Promise) {\n        console.error('Cannot return a Promise inside of tidy.');\n      }\n      ENGINE.endScope(result);\n      return result;\n    } catch (ex) {\n      ENGINE.endScope(null);\n      throw ex;\n    }\n  };\n  Object.defineProperty(f2, 'name', {value: opName, configurable: true});\n\n  // tslint:disable-next-line:no-any\n  return f2 as any as T;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Converts two real numbers to a complex number.\n *\n * Given a tensor `real` representing the real part of a complex number, and a\n * tensor `imag` representing the imaginary part of a complex number, this\n * operation returns complex numbers elementwise of the form [r0, i0, r1, i1],\n * where r represents the real part and i represents the imag part.\n *\n * The input tensors real and imag must have the same shape.\n *\n * ```js\n * const real = tf.tensor1d([2.25, 3.25]);\n * const imag = tf.tensor1d([4.75, 5.75]);\n * const complex = tf.complex(real, imag);\n *\n * complex.print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction complex_<T extends Tensor>(real: T|TensorLike, imag: T|TensorLike): T {\n  const $real = convertToTensor(real, 'real', 'complex');\n  const $imag = convertToTensor(imag, 'imag', 'complex');\n  util.assertShapesMatch(\n      $real.shape, $imag.shape,\n      `real and imag shapes, ${$real.shape} and ${$imag.shape}, ` +\n          `must match in call to tf.complex().`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.complex($real, $imag), {$real, $imag});\n}\n\n/**\n * Returns the real part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the real part of each element in input considered as a complex number.\n *\n * If the input is real, it simply makes a clone.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.real(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction real_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'real');\n\n  return ENGINE.runKernelFunc(backend => backend.real($input), {$input});\n}\n\n/**\n * Returns the imaginary part of a complex (or real) tensor.\n *\n * Given a tensor input, this operation returns a tensor of type float that is\n * the imaginary part of each element in input considered as a complex number.\n * If input is real, a tensor of all zeros is returned.\n *\n * ```js\n * const x = tf.complex([-2.25, 3.25], [4.75, 5.75]);\n * tf.imag(x).print();\n * ```\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction imag_<T extends Tensor>(input: T|TensorLike): T {\n  const $input = convertToTensor(input, 'input', 'imag');\n\n  return ENGINE.runKernelFunc(backend => backend.imag($input), {$input});\n}\n\nexport const complex = op({complex_});\nexport const real = op({real_});\nexport const imag = op({imag_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {env} from '../environment';\n\nimport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, Tensor6D, Variable} from '../tensor';\nimport {convertToTensor, inferShape} from '../tensor_util_env';\nimport {TensorLike, TensorLike1D, TensorLike2D, TensorLike3D, TensorLike4D, TensorLike5D, TensorLike6D, TypedArray} from '../types';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {assert, assertNonNegativeIntegerDimensions, assertNonNull, flatten, inferDtype, isTypedArray, makeOnesTypedArray, makeZerosTypedArray, sizeFromShape, toTypedArray} from '../util';\nimport {complex, imag, real} from './complex_ops';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with the provided values, shape and dtype.\n *\n * ```js\n * // Pass an array of values to create a vector.\n * tf.tensor([1, 2, 3, 4]).print();\n * ```\n *\n * ```js\n * // Pass a nested array of values to make a matrix or a higher\n * // dimensional tensor.\n * tf.tensor([[1, 2], [3, 4]]).print();\n * ```\n *\n * ```js\n * // Pass a flat array and specify a shape yourself.\n * tf.tensor([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`. If the values are strings,\n *     they will be encoded as utf-8 and kept as `Uint8Array[]`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor<R extends Rank>(\n    values: TensorLike, shape?: ShapeMap[R], dtype?: DataType): Tensor<R> {\n  const inferredShape = inferShape(values, dtype);\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor<R>;\n}\n\n/** This is shared code across all tensor creation methods. */\nfunction makeTensor(\n    values: TensorLike, shape: number[], inferredShape: number[],\n    dtype?: DataType): Tensor {\n  if (dtype == null) {\n    dtype = inferDtype(values);\n  }\n  if (dtype === 'complex64') {\n    throw new Error(\n        `Cannot construct a complex64 tensor directly. ` +\n        `Please use tf.complex(real, imag).`);\n  }\n  if (!isTypedArray(values) && !Array.isArray(values) &&\n      typeof values !== 'number' && typeof values !== 'boolean' &&\n      typeof values !== 'string') {\n    throw new Error(\n        'values passed to tensor(values) must be a number/boolean/string or ' +\n        'an array of numbers/booleans/strings, or a TypedArray');\n  }\n  if (shape != null) {\n    assertNonNegativeIntegerDimensions(shape);\n\n    const providedSize = sizeFromShape(shape);\n    const inferredSize = sizeFromShape(inferredShape);\n    assert(\n        providedSize === inferredSize,\n        () =>\n            `Based on the provided shape, [${shape}], the tensor should have ` +\n            `${providedSize} values but has ${inferredSize}`);\n\n    for (let i = 0; i < inferredShape.length; ++i) {\n      const inferred = inferredShape[i];\n      const flatDimsDontMatch = i === inferredShape.length - 1 ?\n          inferred !== sizeFromShape(shape.slice(i)) :\n          true;\n      assert(\n          inferredShape[i] === shape[i] || !flatDimsDontMatch,\n          () => `Error creating a new Tensor. Inferred shape ` +\n              `(${inferredShape}) does not match the provided ` +\n              `shape (${shape}). `);\n    }\n  }\n\n  if (!isTypedArray(values) && !Array.isArray(values)) {\n    values = [values] as number[];\n  }\n\n  shape = shape || inferredShape;\n  values = dtype !== 'string' ?\n      toTypedArray(values, dtype, env().getBool('DEBUG')) :\n      flatten(values as string[], [], true) as string[];\n  return ENGINE.makeTensor(values as TypedArray, shape, dtype);\n}\n\n/**\n * Creates rank-0 `tf.Tensor` (scalar) with the provided value and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.scalar` as it makes the code more readable.\n *\n * ```js\n * tf.scalar(3.14).print();\n * ```\n *\n * @param value The value of the scalar.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction scalar(\n    value: number|boolean|string|Uint8Array, dtype?: DataType): Scalar {\n  if (((isTypedArray(value) && dtype !== 'string') || Array.isArray(value)) &&\n      dtype !== 'complex64') {\n    throw new Error(\n        'Error creating a new Scalar: value must be a primitive ' +\n        '(number|boolean|string)');\n  }\n  if (dtype === 'string' && isTypedArray(value) &&\n      !(value instanceof Uint8Array)) {\n    throw new Error(\n        'When making a scalar from encoded string, ' +\n        'the value must be `Uint8Array`.');\n  }\n  const shape: number[] = [];\n  const inferredShape: number[] = [];\n  return makeTensor(value, shape, inferredShape, dtype) as Scalar;\n}\n\n/**\n * Creates rank-1 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor1d` as it makes the code more readable.\n *\n * ```js\n * tf.tensor1d([1, 2, 3]).print();\n * ```\n *\n * @param values The values of the tensor. Can be array of numbers,\n *     or a `TypedArray`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor1d(values: TensorLike1D, dtype?: DataType): Tensor1D {\n  assertNonNull(values);\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 1) {\n    throw new Error('tensor1d() requires values to be a flat/TypedArray');\n  }\n  const shape: number[] = null;\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor1D;\n}\n\n/**\n * Creates rank-2 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor2d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor2d([[1, 2], [3, 4]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided, it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor2d(\n    values: TensorLike2D, shape?: [number, number],\n    dtype?: DataType): Tensor2D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 2) {\n    throw new Error('tensor2d() requires shape to have two numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 2 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor2d() requires values to be number[][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor2d() requires shape to be provided when `values` ' +\n        'are a flat/TypedArray');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor2D;\n}\n\n/**\n * Creates rank-3 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor3d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor3d([[[1], [2]], [[3], [4]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor3d([1, 2, 3, 4], [2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. If not provided,  it is inferred from\n *     `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor3d(\n    values: TensorLike3D, shape?: [number, number, number],\n    dtype?: DataType): Tensor3D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 3) {\n    throw new Error('tensor3d() requires shape to have three numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 3 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor3d() requires values to be number[][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor3d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor3D;\n}\n\n/**\n * Creates rank-4 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor4d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor4d([[[[1], [2]], [[3], [4]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor4d(\n    values: TensorLike4D, shape?: [number, number, number, number],\n    dtype?: DataType): Tensor4D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 4) {\n    throw new Error('tensor4d() requires shape to have four numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 4 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor4d() requires values to be number[][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor4d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor4D;\n}\n\n/**\n * Creates rank-5 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor5d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor5d([[[[[1], [2]], [[3], [4]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor5d(\n    values: TensorLike5D, shape?: [number, number, number, number, number],\n    dtype?: DataType): Tensor5D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 5) {\n    throw new Error('tensor5d() requires shape to have five numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 5 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor5d() requires values to be ' +\n        'number[][][][][] or flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor5d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor5D;\n}\n\n/**\n * Creates rank-6 `tf.Tensor` with the provided values, shape and dtype.\n *\n * The same functionality can be achieved with `tf.tensor`, but in general\n * we recommend using `tf.tensor6d` as it makes the code more readable.\n *\n *  ```js\n * // Pass a nested array.\n * tf.tensor6d([[[[[[1],[2]],[[3],[4]]],[[[5],[6]],[[7],[8]]]]]]).print();\n * ```\n * ```js\n * // Pass a flat array and specify a shape.\n * tf.tensor6d([1, 2, 3, 4, 5, 6, 7, 8], [1, 1, 2, 2, 2, 1]).print();\n * ```\n *\n * @param values The values of the tensor. Can be nested array of numbers,\n *     or a flat array, or a `TypedArray`.\n * @param shape The shape of the tensor. Optional. If not provided,\n *   it is inferred from `values`.\n * @param dtype The data type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction tensor6d(\n    values: TensorLike6D,\n    shape?: [number, number, number, number, number, number],\n    dtype?: DataType): Tensor6D {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 6) {\n    throw new Error('tensor6d() requires shape to have six numbers');\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 6 && inferredShape.length !== 1) {\n    throw new Error(\n        'tensor6d() requires values to be number[][][][][][] or ' +\n        'flat/TypedArray');\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\n        'tensor6d() requires shape to be provided when `values` ' +\n        'are a flat array');\n  }\n  shape = shape ||\n      inferredShape as [number, number, number, number, number, number];\n  return makeTensor(values, shape, inferredShape, dtype) as Tensor6D;\n}\n\n/**\n * Creates a new variable with the provided initial value.\n * ```js\n * const x = tf.variable(tf.tensor([1, 2, 3]));\n * x.assign(tf.tensor([4, 5, 6]));\n *\n * x.print();\n * ```\n *\n * @param initialValue Initial value for the tensor.\n * @param trainable If true, optimizers are allowed to update it.\n * @param name Name of the variable. Defaults to a unique id.\n * @param dtype If set, initialValue will be converted to the given type.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction variable<R extends Rank>(\n    initialValue: Tensor<R>, trainable = true, name?: string,\n    dtype?: DataType): Variable<R> {\n  return ENGINE.makeVariable(initialValue, trainable, name, dtype) as\n      Variable<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1.\n *\n * ```js\n * tf.ones([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n *     'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction ones<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = ones(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeOnesTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0.\n *\n * ```js\n * tf.zeros([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The type of an element in the resulting tensor. Can\n *     be 'float32', 'int32' or 'bool'. Defaults to 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zeros<R extends Rank>(\n    shape: ShapeMap[R], dtype: DataType = 'float32'): Tensor<R> {\n  if (dtype === 'complex64') {\n    const real = zeros(shape, 'float32');\n    const imag = zeros(shape, 'float32');\n    return complex(real, imag);\n  }\n  const values = makeZerosTypedArray(sizeFromShape(shape), dtype);\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\n/**\n * Creates a `tf.Tensor` filled with a scalar value.\n *\n * ```js\n * tf.fill([2, 2], 4).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param value The scalar value to fill the tensor with.\n * @param dtype The type of an element in the resulting tensor. Defaults to\n * 'float'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction fill<R extends Rank>(\n    shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n  return ENGINE.runKernelFunc(backend => backend.fill(shape, value, dtype), {});\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 1 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.onesLike(x).print();\n * ```\n * @param x A tensor.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction onesLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'onesLike');\n  if ($x.dtype === 'complex64') {\n    const r = onesLike(real($x));\n    const i = zerosLike(imag($x));\n    return complex(r, i);\n  }\n  const der = (dy: T, saved: Tensor[]) => ({x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(\n             backend => backend.onesLike($x), {x: $x}, der, 'OnesLike') as T;\n}\n\n/**\n * Creates a `tf.Tensor` with all elements set to 0 with the same shape as the\n * given tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n * tf.zerosLike(x).print();\n * ```\n *\n * @param x The tensor of required shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction zerosLike_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'zerosLike');\n  const der = (dy: T, saved: Tensor[]) => ({x: () => zerosLike(dy)});\n  return ENGINE.runKernelFunc(\n             backend => backend.zerosLike($x), {x: $x}, der, 'ZerosLike') as T;\n}\n\n/**\n * Return an evenly spaced sequence of numbers over the given interval.\n *\n * ```js\n * tf.linspace(0, 9, 10).print();\n * ```\n * @param start The start value of the sequence.\n * @param stop The end value of the sequence.\n * @param num The number of values to generate.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction linspace(start: number, stop: number, num: number): Tensor1D {\n  if (num <= 0) {\n    throw new Error('The number of values should be positive.');\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.linspace(start, stop, num), {});\n}\n\n/**\n * Creates a new `tf.Tensor1D` filled with the numbers in the range provided.\n *\n * The tensor is a is half-open interval meaning it includes start, but\n * excludes stop. Decrementing ranges and negative step values are also\n * supported.\n *\n * ```js\n * tf.range(0, 9, 2).print();\n * ```\n *\n * @param start An integer start value\n * @param stop An integer stop value\n * @param step An integer increment (will default to 1 or -1)\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction range(\n    start: number, stop: number, step = 1,\n    dtype: 'float32'|'int32' = 'float32'): Tensor1D {\n  if (step === 0) {\n    throw new Error('Cannot have a step of zero');\n  }\n\n  const sameStartStop = start === stop;\n  const increasingRangeNegativeStep = start < stop && step < 0;\n  const decreasingRangePositiveStep = stop < start && step > 1;\n\n  if (sameStartStop || increasingRangeNegativeStep ||\n      decreasingRangePositiveStep) {\n    return zeros([0], dtype);\n  }\n\n  const numElements = Math.abs(Math.ceil((stop - start) / step));\n  const values = makeZerosTypedArray(numElements, dtype);\n\n  if (stop < start && step === 1) {\n    // Auto adjust the step's sign if it hasn't been set\n    // (or was set to 1)\n    step = -1;\n  }\n\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, dtype);\n}\n\nexport {\n  fill,\n  linspace,\n  ones,\n  range,\n  scalar,\n  tensor,\n  tensor1d,\n  tensor2d,\n  tensor3d,\n  tensor4d,\n  tensor5d,\n  tensor6d,\n  variable,\n  zeros\n};\n\nexport const onesLike = op({onesLike_});\nexport const zerosLike = op({zerosLike_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, sizeFromShape} from '../util';\nimport {parseAxisParam} from '../util';\nimport {assertParamsConsistent, computeOutShape} from './concat_util';\nimport {op} from './operation';\nimport {tensor} from './tensor_ops';\n\n/**\n * Concatenates a list of`tf.Tensor1D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(3) = |r1, g1, b1|\n * B: shape(2) = |r2, g2|\n * C = tf.concat1d([A, B]) == |r1, g1, b1, r2, g2|\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @return The concatenated array.\n */\nfunction concat1d_(tensors: Array<Tensor1D|TensorLike>): Tensor1D {\n  return concat(tensors, 0 /* axis */);\n}\n\n/**\n * Concatenates a list of`tf.Tensor2D`s along an axis. See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *\n * B: shape(2, 3) = | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * C = tf.concat2d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 3) = | r1, g1, b1 |\n *                  | r2, g2, b2 |\n *                  | r3, g3, b3 |\n *                  | r4, g4, b4 |\n *\n * if axis = 1:\n * C = shape(2, 6) = | r1, g1, b1, r3, g3, b3 |\n *                   | r2, g2, b2, r4, g4, b4 |\n *\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concatenate along.\n * @return The concatenated array.\n */\nfunction concat2d_(\n    tensors: Array<Tensor2D|TensorLike>, axis: number): Tensor2D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor3D`s along an axis.\n * See `concat` for details.\n *\n * For example, if:\n * A: shape(2, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *\n * B: shape(2, 1, 3) = | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * C = tf.concat3d([A, B], axis)\n *\n * if axis = 0:\n * C: shape(4, 1, 3) = | r1, g1, b1 |\n *                     | r2, g2, b2 |\n *                     | r3, g3, b3 |\n *                     | r4, g4, b4 |\n *\n * if axis = 1:\n * C: shape(2, 2, 3) = | r1, g1, b1, r3, g3, b3 |\n *                     | r2, g2, b2, r4, g4, b4 |\n *\n * if axis = 2:\n * C = shape(2, 1, 6) = | r1, g1, b1, r3, g3, b3 |\n *                      | r2, g2, b2, r4, g4, b4 |\n *\n * @param tensors A list of`tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat3d_(\n    tensors: Array<Tensor3D|TensorLike>, axis: number): Tensor3D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor4D`s along an axis.\n * See `concat` for details.\n *\n * @param tensors A list of `tf.Tensor`s to concatenate.\n * @param axis The axis to concate along.\n * @return The concatenated array.\n */\nfunction concat4d_(\n    tensors: Array<Tensor4D|TensorLike>, axis: number): Tensor4D {\n  return concat(tensors, axis);\n}\n\n/**\n * Concatenates a list of `tf.Tensor`s along a given axis.\n *\n * The tensors ranks and types must match, and their sizes must match in all\n * dimensions except `axis`.\n *\n * Also available are stricter rank-specific methods that assert that\n * `tensors` are of the given rank:\n *   - `tf.concat1d`\n *   - `tf.concat2d`\n *   - `tf.concat3d`\n *   - `tf.concat4d`\n *\n * Except `tf.concat1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * a.concat(b).print();  // or a.concat(b)\n * ```\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.concat([a, b, c]).print();\n * ```\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [10, 20]]);\n * const b = tf.tensor2d([[3, 4], [30, 40]]);\n * const axis = 1;\n * tf.concat([a, b], axis).print();\n * ```\n * @param tensors A list of tensors to concatenate.\n * @param axis The axis to concate along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction concat_<T extends Tensor>(tensors: Array<T|TensorLike>, axis = 0): T {\n  assert(tensors.length >= 1, () => 'Pass at least one tensor to concat');\n  let $tensors = convertToTensorArray(tensors, 'tensors', 'concat');\n  if ($tensors[0].dtype === 'complex64') {\n    $tensors.forEach(tensor => {\n      if (tensor.dtype !== 'complex64') {\n        throw new Error(`Cannot concatenate complex64 tensors with a tensor\n          with dtype ${tensor.dtype}. `);\n      }\n    });\n  }\n\n  axis = parseAxisParam(axis, $tensors[0].shape)[0];\n  const outShape = computeOutShape($tensors.map(t => t.shape), axis);\n  if (sizeFromShape(outShape) === 0) {\n    return tensor([], outShape) as T;\n  }\n  // Keep only non-empty tensors (ignore tensors with 0 in their shape).\n  $tensors = $tensors.filter(t => t.size > 0);\n  if ($tensors.length === 1) {\n    return $tensors[0];\n  }\n\n  const shapes = $tensors.map(t => t.shape);\n  assertParamsConsistent(shapes, axis);\n  const der = (dy: T) => {\n    const sizeSplits = shapes.map(s => s[axis]);\n    const derTensors = split(dy, sizeSplits, axis);\n    return derTensors.map(t => () => t) as {};\n  };\n  const inputs = $tensors as {};\n  const attr = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.concat($tensors, axis) as T, inputs, der, 'Concat',\n      attr);\n}\n\n/**\n * Splits a `tf.Tensor` into sub tensors.\n *\n * If `numOrSizeSplits` is a number, splits `x` along dimension `axis`\n * into `numOrSizeSplits` smaller tensors.\n * Requires that `numOrSizeSplits` evenly divides `x.shape[axis]`.\n *\n * If `numOrSizeSplits` is a number array, splits `x` into\n * `numOrSizeSplits.length` pieces. The shape of the `i`-th piece has the\n * same size as `x` except along dimension `axis` where the size is\n * `numOrSizeSplits[i]`.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4, 5, 6, 7, 8], [2, 4]);\n * const [a, b] = tf.split(x, 2, 1);\n * a.print();\n * b.print();\n *\n * const [c, d, e] = tf.split(x, [1, 2, 1], 1);\n * c.print();\n * d.print();\n * e.print();\n * ```\n *\n * @param x The input tensor to split.\n * @param numOrSizeSplits Either an integer indicating the number of\n * splits along the axis or an array of integers containing the sizes of\n * each output tensor along the axis. If a number then it must evenly divide\n * `x.shape[axis]`; otherwise the sum of sizes must match `x.shape[axis]`.\n * @param axis The dimension along which to split. Defaults to 0 (the first\n * dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction split_<T extends Tensor>(\n    x: T|TensorLike, numOrSizeSplits: number[]|number, axis = 0): T[] {\n  const $x = convertToTensor(x, 'x', 'split');\n\n  axis = parseAxisParam(axis, $x.shape)[0];\n  let splitSizes: number[];\n  if (typeof (numOrSizeSplits) === 'number') {\n    assert(\n        $x.shape[axis] % numOrSizeSplits === 0,\n        () => 'Number of splits must evenly divide the axis.');\n    splitSizes =\n        new Array(numOrSizeSplits).fill($x.shape[axis] / numOrSizeSplits);\n  } else {\n    assert(\n        $x.shape[axis] === numOrSizeSplits.reduce((a, b) => a + b),\n        () => 'The sum of sizes must match the size of the axis dimension.');\n    splitSizes = numOrSizeSplits;\n  }\n  const der = (dy: T[]) => ({$x: () => concat(dy, axis)});\n  return ENGINE.runKernelFunc(\n      backend => backend.split($x, splitSizes, axis), {$x}, der);\n}\n\nexport const concat = op({concat_});\nexport const concat1d = op({concat1d_});\nexport const concat2d = op({concat2d_});\nexport const concat3d = op({concat3d_});\nexport const concat4d = op({concat4d_});\nexport const split = op({split_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor4D, TensorBuffer} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {DataType, DataTypeMap, Rank, ShapeMap, TensorLike, TensorLike4D} from '../types';\nimport * as util from '../util';\nimport {getAxesPermutation, getInnerMostAxes} from './axis_util';\nimport {concat} from './concat_split';\nimport {op} from './operation';\n\n/**\n * Reshapes a `tf.Tensor` to a given shape.\n *\n * Given an input tensor, returns a new tensor with the same values as the\n * input tensor with shape `shape`.\n *\n * If one component of shape is the special value -1, the size of that\n * dimension is computed so that the total size remains constant. In\n * particular, a shape of [-1] flattens into 1-D. At most one component of\n * shape can be -1.\n *\n * If shape is 1-D or higher, then the operation returns a tensor with shape\n * shape filled with the values of tensor. In this case, the number of\n * elements implied by shape must be the same as the number of elements in\n * tensor.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.reshape([2, 2]).print();\n * ```\n *\n * @param x The input tensor to be reshaped.\n * @param shape An array of integers defining the output tensor shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction reshape_<R2 extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R2]): Tensor<R2> {\n  const $x = convertToTensor(x, 'x', 'reshape', null);\n  shape = util.inferFromImplicitShape(shape, $x.size) as ShapeMap[R2];\n  util.assert(\n      $x.size === util.sizeFromShape(shape),\n      () => 'new shape and old shape must have the same number of elements.');\n\n  const grad = (dy: Tensor<R2>) => {\n    return {x: () => dy.reshape($x.shape)};\n  };\n  const attrs = {shape};\n  return ENGINE.runKernelFunc(\n      backend => backend.reshape($x, shape), {x: $x}, grad, 'Reshape', attrs);\n}\n\n/**\n * Removes dimensions of size 1 from the shape of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4], [1, 1, 4]);\n * x.squeeze().print();\n * ```\n *\n * @param x The input tensor to be squeezed.\n * @param axis An optional list of numbers. If specified, only\n *     squeezes the dimensions listed. The dimension index starts at 0. It\n * is an error to squeeze a dimension that is not 1.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction squeeze_<T extends Tensor>(x: Tensor|TensorLike, axis?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'squeeze');\n  return reshape($x, util.squeezeShape($x.shape, axis).newShape) as T;\n}\n\n/**\n * Casts a `tf.Tensor` to a new dtype.\n *\n * ```js\n * const x = tf.tensor1d([1.5, 2.5, 3]);\n * tf.cast(x, 'int32').print();\n * ```\n * @param x The input tensor to be casted.\n * @param dtype The dtype to cast the input tensor to.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction cast_<T extends Tensor>(x: T|TensorLike, dtype: DataType): T {\n  const $x = convertToTensor(x, 'x', 'cast');\n\n  // Sanity checks.\n  if (!util.isValidDtype(dtype)) {\n    throw new Error(`Failed to cast to unknown dtype ${dtype}`);\n  }\n  if (dtype === 'string' && $x.dtype !== 'string' ||\n      dtype !== 'string' && $x.dtype === 'string') {\n    throw new Error('Only strings can be casted to strings');\n  }\n\n  const grad = (dy: T) => {\n    return {x: () => dy.clone()};\n  };\n  const attrs = {dtype};\n  return ENGINE.runKernelFunc(\n      backend => backend.cast($x, dtype), {x: $x}, grad, 'Cast', attrs);\n}\n\n/**\n * Stacks a list of rank-`R` `tf.Tensor`s into one rank-`(R+1)` `tf.Tensor`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n * tf.stack([a, b, c]).print();\n * ```\n *\n * @param tensors A list of tensor objects with the same shape and dtype.\n * @param axis The axis to stack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction stack_<T extends Tensor>(\n    tensors: Array<T|TensorLike>, axis = 0): Tensor {\n  const $tensors = convertToTensorArray(tensors, 'tensors', 'stack');\n\n  util.assert(\n      $tensors.length >= 1, () => 'Pass at least one tensor to tf.stack');\n  if ($tensors.length === 1) {\n    return $tensors[0].expandDims(axis);\n  }\n  const rank = $tensors[0].rank;\n  const shape = $tensors[0].shape;\n  const dtype = $tensors[0].dtype;\n\n  util.assert(axis <= rank, () => 'Axis must be <= rank of the tensor');\n\n  $tensors.forEach(t => {\n    util.assertShapesMatch(\n        shape, t.shape,\n        'All tensors passed to stack must have matching shapes');\n  });\n\n  $tensors.forEach(t => {\n    util.assert(\n        dtype === t.dtype,\n        () => 'All tensors passed to stack must have matching dtypes');\n  });\n  const expandedTensors = $tensors.map(t => t.expandDims(axis));\n  return concat(expandedTensors, axis);\n}\n\n/**\n * This operation reshapes the \"batch\" dimension 0 into `M + 1` dimensions of\n * shape `blockShape + [batch]`, interleaves these blocks back into the grid\n * defined by the spatial dimensions `[1, ..., M]`, to obtain a result with\n * the same rank as the input. The spatial dimensions of this intermediate\n * result are then optionally cropped according to `crops` to produce the\n * output. This is the reverse of `tf.spaceToBatchND`. See below for a precise\n * description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [4, 1, 1, 1]);\n * const blockShape = [2, 2];\n * const crops = [[0, 0], [0, 0]];\n *\n * x.batchToSpaceND(blockShape, crops).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param crops A 2-D array.  Must have shape `[M, 2]`, all values must be >= 0.\n * `crops[i] = [cropStart, cropEnd]` specifies the amount to crop from input\n * dimension `i + 1`, which corresponds to spatial dimension `i`. It is required\n * that `cropStart[i] + cropEnd[i] <= blockShape[i] * inputShape[i + 1]`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Reshape `x` to `reshaped` of shape: `[blockShape[0], ...,\n * blockShape[M-1], batch / prod(blockShape), x.shape[1], ...,\n * x.shape[N-1]]`\n *\n * 2. Permute dimensions of `reshaped`to produce `permuted` of shape `[batch /\n * prod(blockShape),x.shape[1], blockShape[0], ..., x.shape[M],\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 3. Reshape `permuted` to produce `reshapedPermuted` of shape `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0], ..., x.shape[M] *\n * blockShape[M-1],x.shape[M+1], ..., x.shape[N-1]]`\n *\n * 4. Crop the start and end of dimensions `[1, ..., M]` of `reshapedPermuted`\n * according to `crops` to produce the output of shape: `[batch /\n * prod(blockShape),x.shape[1] * blockShape[0] - crops[0,0] - crops[0,1],\n * ..., x.shape[M] * blockShape[M-1] - crops[M-1,0] -\n * crops[M-1,1],x.shape[M+1], ..., x.shape[N-1]]`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction batchToSpaceND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], crops: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'batchToSpaceND');\n  const prod = blockShape.reduce((a, b) => a * b);\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank is ${$x.rank} but should be > than blockShape.length ${\n          blockShape.length}`);\n\n  util.assert(\n      crops.length === blockShape.length,\n      () => `crops.length is ${\n          crops.length} but should be equal to blockShape.length  ${\n          blockShape.length}`);\n\n  util.assert(\n      $x.shape[0] % prod === 0,\n      () => `input tensor batch is ${\n                $x.shape[0]} but is not divisible by the product of ` +\n          `the elements of blockShape ${blockShape.join(' * ')} === ${prod}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.spaceToBatchND(blockShape, crops)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.batchToSpaceND($x, blockShape, crops), {$x}, grad);\n}\n\n/**\n * This operation divides \"spatial\" dimensions `[1, ..., M]` of the input into\n * a grid of blocks of shape `blockShape`, and interleaves these blocks with\n * the \"batch\" dimension (0) such that in the output, the spatial\n * dimensions `[1, ..., M]` correspond to the position within the grid,\n * and the batch dimension combines both the position within a spatial block\n * and the original batch position. Prior to division into blocks,\n * the spatial dimensions of the input are optionally zero padded\n * according to `paddings`. See below for a precise description.\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n * const blockShape = [2, 2];\n * const paddings = [[0, 0], [0, 0]];\n *\n * x.spaceToBatchND(blockShape, paddings).print();\n * ```\n *\n * @param x A `tf.Tensor`. N-D with `x.shape` = `[batch] + spatialShape +\n * remainingShape`, where spatialShape has `M` dimensions.\n * @param blockShape A 1-D array. Must have shape `[M]`, all values must\n * be >= 1.\n * @param paddings A 2-D array. Must have shape `[M, 2]`, all values must be >=\n *     0. `paddings[i] = [padStart, padEnd]` specifies the amount to zero-pad\n * from input dimension `i + 1`, which corresponds to spatial dimension `i`. It\n * is required that\n * `(inputShape[i + 1] + padStart + padEnd) % blockShape[i] === 0`\n *\n * This operation is equivalent to the following steps:\n *\n * 1. Zero-pad the start and end of dimensions `[1, ..., M]` of the input\n * according to `paddings` to produce `padded` of shape paddedShape.\n *\n * 2. Reshape `padded` to `reshapedPadded` of shape:\n * `[batch] + [paddedShape[1] / blockShape[0], blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1], blockShape[M-1]] + remainingShape`\n *\n * 3. Permute dimensions of `reshapedPadded` to produce `permutedReshapedPadded`\n * of shape: `blockShape + [batch] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n *\n * 4. Reshape `permutedReshapedPadded` to flatten `blockShape` into the\n * batch dimension, producing an output tensor of shape:\n * `[batch * prod(blockShape)] + [paddedShape[1] / blockShape[0], ...,\n * paddedShape[M] / blockShape[M-1]] + remainingShape`\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction spaceToBatchND_<T extends Tensor>(\n    x: T|TensorLike, blockShape: number[], paddings: number[][]): T {\n  const $x = convertToTensor(x, 'x', 'spaceToBatchND');\n\n  util.assert(\n      $x.rank >= 1 + blockShape.length,\n      () => `input rank ${$x.rank} should be > than [blockShape] ${\n          blockShape.length}`);\n\n  util.assert(\n      paddings.length === blockShape.length,\n      () => `paddings.shape[0] ${\n          paddings.length} must be equal to [blockShape] ${blockShape.length}`);\n\n  util.assert(\n      $x.shape.reduce(\n          (a, b, i) => {\n            if (i > 0 && i <= blockShape.length) {\n              return a &&\n                  ((b + paddings[i - 1][0] + paddings[i - 1][1]) %\n                       blockShape[i - 1] ===\n                   0);\n            }\n            return a;\n          },\n          true),\n      () => `input spatial dimensions ${$x.shape.slice(1)} with paddings ${\n          paddings.toString()} must be divisible by blockShapes ${\n          blockShape.toString()}`);\n\n  const grad = (dy: T) => {\n    return {$x: () => dy.batchToSpaceND(blockShape, paddings)};\n  };\n\n  return ENGINE.runKernelFunc(\n      backend => backend.spaceToBatchND($x, blockShape, paddings), {$x}, grad);\n}\n\n/**\n * Unstacks a `tf.Tensor` of rank-`R` into a list of rank-`(R-1)` `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * tf.unstack(a).forEach(tensor => tensor.print());\n * ```\n *\n * @param x A tensor object.\n * @param axis The axis to unstack along. Defaults to 0 (the first dim).\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction unstack_(x: Tensor|TensorLike, axis = 0): Tensor[] {\n  axis = axis || 0;\n  const $x = convertToTensor(x, 'x', 'unstack');\n  util.assert(\n      axis >= -$x.shape.length && axis < $x.shape.length,\n      () =>\n          `Axis = ${axis} is not in [-${$x.shape.length}, ${$x.shape.length})`);\n  if (axis < 0) {\n    axis += $x.shape.length;\n  }\n  const grad = (dy: Tensor[]) => {\n    return {x: () => stack(dy, axis)};\n  };\n  const attrs = {axis};\n  return ENGINE.runKernelFunc(\n      backend => backend.unstack($x, axis), {x: $x}, grad, 'Unpack', attrs);\n}\n\n/**\n * Computes the cumulative sum of a `tf.Tensor` along `axis`.\n *\n * ```js\n * const x = tf.tensor([1, 2, 3, 4]);\n * x.cumsum().print();\n * ```\n * ```js\n * const x = tf.tensor([[1, 2], [3, 4]]);\n * x.cumsum().print();\n * ```\n *\n * @param x The input tensor to be summed.\n * @param axis The axis along which to sum. Optional. Defaults to 0.\n * @param exclusive Whether to perform exclusive cumulative sum. Optional.\n *     Defaults to false. If set to true then the sum of each tensor entry\n *     does not include its own value, but only the values previous to it\n *     along the specified axis.\n * @param reverse Whether to sum in the opposite direction. Optional.\n *     Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Scan'} */\nfunction cumsum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis = 0, exclusive = false, reverse = false): T {\n  const $x = convertToTensor(x, 'x', 'cumsum');\n\n  axis = axis | 0;\n  const permutation = getAxesPermutation([axis], $x.rank);\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n  }\n  const permutedAxis = getInnerMostAxes(1, $x.rank)[0];\n\n  const grad = (dy: T) => {\n    return {permutedX: () => dy.cumsum(axis, exclusive, !reverse)};\n  };\n  let value = ENGINE.runKernelFunc(\n                  backend => backend.cumsum(\n                      permutedX, permutedAxis, exclusive, reverse),\n                  {permutedX}, grad) as T;\n\n  if (permutation != null) {\n    value = value.transpose(permutation);\n  }\n  return value;\n}\n\n/**\n * Returns a `tf.Tensor` that has expanded rank, by inserting a dimension\n * into the tensor's shape.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const axis = 1;\n * x.expandDims(axis).print();\n * ```\n *\n * @param x The input tensor whose dimensions to be expanded.\n * @param axis The dimension index at which to insert shape of `1`. Defaults\n *     to 0 (the first dimension).\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction expandDims_<R2 extends Rank>(\n    x: Tensor|TensorLike, axis = 0): Tensor<R2> {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'expandDims', parseAs);\n\n  util.assert(axis <= $x.rank, () => 'Axis must be <= rank of the tensor');\n  const newShape = $x.shape.slice();\n  if (axis < 0) {\n    // Negative value is counted from the tail of rank.\n    util.assert(\n        -($x.rank + 1) <= axis,\n        () => `Axis must be in the interval [${- ($x.rank + 1)}, ${$x.rank}]`);\n    axis = $x.rank + axis + 1;\n  }\n  newShape.splice(axis, 0, 1);\n  return reshape($x, newShape as ShapeMap[R2]);\n}\n\n/**\n * Rearranges data from depth into blocks of spatial data. More specifically,\n * this op outputs a copy of the input tensor where values from the `depth`\n * dimension are moved in spatial blocks to the `height` and `width` dimensions.\n * The attr `blockSize` indicates the input block size and how the data is\n * moved.\n *\n *  - Chunks of data of size `blockSize * blockSize` from depth are rearranged\n * into non-overlapping blocks of size `blockSize x blockSize`\n *\n *  - The width the output tensor is `inputWidth * blockSize`, whereas the\n * height is `inputHeight * blockSize`\n *\n *  - The Y, X coordinates within each block of the output image are determined\n * by the high order component of the input channel index\n *\n *  - The depth of the input tensor must be divisible by `blockSize *\n * blockSize`\n *\n * The `dataFormat` attr specifies the layout of the input and output tensors\n * with the following options: \"NHWC\": [ `batch, height, width, channels` ]\n * \"NCHW\": [ `batch, channels, height, width` ]\n *\n * ```js\n * const x = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);\n * const blockSize = 2;\n * const dataFormat = \"NHWC\";\n *\n * tf.depthToSpace(x, blockSize, dataFormat).print();\n * ```\n *\n * @param x The input tensor of rank 4\n * @param blockSIze  An `int` that is `>= 2`. The size of the spatial block\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to \"NHWC\"\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction depthToSpace_(\n    x: Tensor4D|TensorLike4D, blockSize: number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'depthToSpace') as Tensor4D;\n\n  const inputHeight = (dataFormat === 'NHWC') ? $x.shape[1] : $x.shape[2];\n  const inputWidth = (dataFormat === 'NHWC') ? $x.shape[2] : $x.shape[3];\n  const inputDepth = (dataFormat === 'NHWC') ? $x.shape[3] : $x.shape[1];\n\n  util.assert(\n      inputHeight * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputHeight} and ${blockSize}  for depthToSpace with input shape\n      ${$x.shape}`);\n\n  util.assert(\n      inputWidth * blockSize >= 0,\n      () => `Negative dimension size caused by overflow when multiplying\n      ${inputWidth} and ${blockSize} for depthToSpace with input shape\n          ${$x.shape}`);\n\n  util.assert(\n      (inputDepth % (blockSize * blockSize) === 0),\n      () => `Dimension size must be evenly divisible by ${\n          blockSize * blockSize} but is ${\n          inputDepth} for depthToSpace with input shape ${$x.shape}`);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.depthToSpace($x, blockSize, dataFormat), {$x});\n}\n\n/**\n * Computes the difference between two lists of numbers.\n *\n * Given a Tensor `x` and a Tensor `y`, this operation returns a Tensor `out`\n * that represents all values that are in `x` but not in `y`. The returned\n * Tensor `out` is sorted in the same order that the numbers appear in `x`\n * (duplicates are preserved). This operation also returns a Tensor indices that\n * represents the position of each out element in `x`. In other words:\n *\n * `out[i] = x[idx[i]] for i in [0, 1, ..., out.length - 1]`\n *\n * ```js\n * const x = [1, 2, 3, 4, 5, 6];\n * const y = [1, 3, 5];\n *\n * const [out, indices] = await tf.setdiff1dAsync(x, y);\n * out.print(); // [2, 4, 6]\n * indices.print(); // [1, 3, 5]\n * ```\n *\n * @param x 1-D Tensor. Values to keep.\n * @param y 1-D Tensor. Must have the same type as x. Values to exclude in the\n *     output.\n * @returns Promise of Tensor tuple [out, indices].\n *  out: Tensor with the same type as x.\n *  indices: A Tensor of type int32.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nasync function setdiff1dAsync_(\n    x: Tensor|TensorLike, y: Tensor|TensorLike): Promise<[Tensor, Tensor]> {\n  const $x = convertToTensor(x, 'x', 'setdiff1d');\n  const $y = convertToTensor(y, 'y', 'setdiff1d');\n\n  util.assert(\n      $x.dtype === $y.dtype,\n      () => `x and y should have the same dtype, but got x (${\n          $x.dtype}) and y (${$y.dtype}).`);\n\n  util.assert(\n      $x.rank === 1, () => `x should be 1D tensor, but got x (${$x.shape}).`);\n\n  util.assert(\n      $y.rank === 1, () => `y should be 1D tensor, but got y (${$y.shape}).`);\n\n  const xVals = await $x.data();\n  const yVals = await $y.data();\n  const ySet = new Set(yVals);\n\n  let outputSize = 0;\n  for (let i = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      outputSize++;\n    }\n  }\n\n  const buffer = new TensorBuffer([outputSize], $x.dtype);\n  const indices = new TensorBuffer([outputSize], 'int32');\n  for (let i = 0, p = 0; i < xVals.length; i++) {\n    if (!ySet.has(xVals[i])) {\n      buffer.values[p] = xVals[i];\n      indices.values[p] = i;\n      p++;\n    }\n  }\n  return [buffer.toTensor(), indices.toTensor()];\n}\n\n/**\n * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.\n *\n * The values are stored in CPU as `TypedArray`. Fill the buffer using\n * `buffer.set()`, or by modifying directly `buffer.values`.\n *\n * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with\n * those values.\n *\n * ```js\n * // Create a buffer and set values at particular indices.\n * const buffer = tf.buffer([2, 2]);\n * buffer.set(3, 0, 0);\n * buffer.set(5, 1, 0);\n *\n * // Convert the buffer back to a tensor.\n * buffer.toTensor().print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param dtype The dtype of the buffer. Defaults to 'float32'.\n * @param values The values of the buffer as `TypedArray`. Defaults to\n * zeros.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nexport function buffer<R extends Rank, D extends DataType = 'float32'>(\n    shape: ShapeMap[R], dtype: D = 'float32' as D,\n    values?: DataTypeMap[D]): TensorBuffer<R, D> {\n  dtype = dtype || 'float32' as D;\n  util.assertNonNegativeIntegerDimensions(shape);\n  return new TensorBuffer<R, D>(shape, dtype, values);\n}\n\n/**\n * Prints information about the `tf.Tensor` including its data.\n *\n * ```js\n * const verbose = true;\n * tf.tensor2d([1, 2, 3, 4], [2, 2]).print(verbose);\n * ```\n * @param x The tensor to be printed.\n * @param verbose Whether to print verbose information about the ` Tensor`,\n * including dtype and size.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction print<T extends Tensor>(x: T, verbose = false): void {\n  console.log(x.toString(verbose));\n}\n\nexport {\n  print  // Not wrapped in op() since no need to increase stack trace.\n};\n\nexport const batchToSpaceND = op({batchToSpaceND_});\nexport const cast = op({cast_});\nexport const cumsum = op({cumsum_});\nexport const depthToSpace = op({depthToSpace_});\nexport const expandDims = op({expandDims_});\nexport const reshape = op({reshape_});\nexport const spaceToBatchND = op({spaceToBatchND_});\nexport const squeeze = op({squeeze_});\nexport const stack = op({stack_});\nexport const unstack = op({unstack_});\nexport const setdiff1dAsync = setdiff1dAsync_;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Gets the new shape of the input Tensor after it's been reshaped\n * to:\n * [blockShape[0], ..., blockShape[M-1], batch / prod(blockShape),\n * inputShape[1], ..., inputShape[N-1]]\n *\n * See step 1: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshaped(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  let reshaped: number[] = [];\n  if (batchToSpace) {\n    reshaped = reshaped.concat(blockShape.slice(0));\n    reshaped.push(inputShape[0] / prod);\n    reshaped = reshaped.concat(inputShape.slice(1));\n  } else {\n    reshaped = reshaped.concat(inputShape[0]);\n    const spatialLength = blockShape.length;\n    for (let i = 0; i < spatialLength; ++i) {\n      reshaped =\n          reshaped.concat([inputShape[i + 1] / blockShape[i], blockShape[i]]);\n    }\n    reshaped = reshaped.concat(inputShape.slice(spatialLength + 1));\n  }\n  return reshaped;\n}\n\n/**\n * Gets the permutation that will transpose the dimensions of the\n * reshaped tensor to shape:\n *\n * [batch / prod(block_shape),inputShape[1], blockShape[0], ...,\n * inputShape[M], blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * see step 2: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getPermuted(\n    reshapedRank: number, blockShapeRank: number,\n    batchToSpace = true): number[] {\n  const permuted = [];\n  if (batchToSpace) {\n    permuted.push(blockShapeRank);\n    for (let i = blockShapeRank + 1; i < reshapedRank; ++i) {\n      if (i <= 2 * blockShapeRank) {\n        permuted.push(i);\n        permuted.push(i - (blockShapeRank + 1));\n      } else {\n        permuted.push(i);\n      }\n    }\n  } else {\n    const permutedBeforeBatch = [];\n    const permutedAfterBatch = [];\n    for (let i = 1; i < reshapedRank; ++i) {\n      if (i >= blockShapeRank * 2 + 1 || i % 2 === 1) {\n        permutedAfterBatch.push(i);\n      } else {\n        permutedBeforeBatch.push(i);\n      }\n    }\n    permuted.push(...permutedBeforeBatch);\n    permuted.push(0);\n    permuted.push(...permutedAfterBatch);\n  }\n  return permuted;\n}\n\n/**\n * Gets the shape of the reshaped and permuted input Tensor before any cropping\n * is applied.  The new shape will be:\n *\n * [batch / prod(blockShape),inputShape[1] * blockShape[0], ...,\n * inputShape[M] * blockShape[M-1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 3: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getReshapedPermuted(\n    inputShape: number[], blockShape: number[], prod: number,\n    batchToSpace = true): number[] {\n  const reshapedPermuted = [];\n\n  if (batchToSpace) {\n    reshapedPermuted.push(inputShape[0] / prod);\n  } else {\n    reshapedPermuted.push(inputShape[0] * prod);\n  }\n\n  for (let i = 1; i < inputShape.length; ++i) {\n    if (i <= blockShape.length) {\n      if (batchToSpace) {\n        reshapedPermuted.push(blockShape[i - 1] * inputShape[i]);\n      } else {\n        reshapedPermuted.push(inputShape[i] / blockShape[i - 1]);\n      }\n    } else {\n      reshapedPermuted.push(inputShape[i]);\n    }\n  }\n\n  return reshapedPermuted;\n}\n\n/**\n * Converts the crops argument into the beginning coordinates of a slice\n * operation.\n */\nexport function getSliceBeginCoords(\n    crops: number[][], blockShape: number): number[] {\n  const sliceBeginCoords = [0];\n  for (let i = 0; i < blockShape; ++i) {\n    sliceBeginCoords.push(crops[i][0]);\n  }\n  return sliceBeginCoords;\n}\n\n/**\n * Converts the crops argument into the size of a slice operation.  When\n * combined with getSliceBeginCoords this function allows the reshaped and\n * permuted Tensor to be cropped to its final output shape of:\n *\n * inputShape[1] * blockShape[0] - crops[0,0] - crops[0,1], ...,\n * inputShape[M] * blockShape[M-1] -crops[M-1,0] -\n * crops[M-1,1],inputShape[M+1], ..., inputShape[N-1]]\n *\n * See step 4: https://www.tensorflow.org/api_docs/python/tf/batch_to_space_nd\n */\nexport function getSliceSize(\n    uncroppedShape: number[], crops: number[][], blockShape: number): number[] {\n  const sliceSize = uncroppedShape.slice(0, 1);\n  for (let i = 0; i < blockShape; ++i) {\n    sliceSize.push(uncroppedShape[i + 1] - crops[i][0] - crops[i][1]);\n  }\n\n  return sliceSize;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// Allow UpperCamelCase variable names\n// tslint:disable: variable-name\n// Unfortunately just enabling PascalCase per file (tslint:enable:\n// allow-pascal-case) doesn't work.\nimport {NamedTensorInfoMap, TensorInfo} from './kernel_registry';\nimport {PixelData} from './types';\n\nexport const Add = 'Add';\nexport type AddInputs = BinaryInputs;\n\nexport const AddN = 'AddN';\nexport type AddNInputs = TensorInfo[];\n\nexport type BinaryInputs = Pick<NamedTensorInfoMap, 'a'|'b'>;\n\nexport const Div = 'Div';\nexport type DivInputs = BinaryInputs;\n\nexport const FusedBatchNorm = 'FusedBatchNorm';\nexport type FusedBatchNormInputs =\n    Pick<NamedTensorInfoMap, 'x'|'scale'|'offset'|'mean'|'variance'>;\nexport interface FusedBatchNormAttrs {\n  varianceEpsilon: number;\n}\n\nexport const SquaredDifference = 'SquaredDifference';\nexport type SquaredDifferenceInputs = BinaryInputs;\n\nexport const Square = 'Square';\nexport type SquareInputs = Pick<NamedTensorInfoMap, 'x'>;\n\nexport const Transpose = 'Transpose';\nexport type TransposeInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface TransposeAttrs {\n  perm: number[];\n}\n\nexport const NonMaxSuppressionV5 = 'NonMaxSuppressionV5';\nexport type NonMaxSuppressionV5Inputs =\n    Pick<NamedTensorInfoMap, 'boxes'|'scores'>;\nexport interface NonMaxSuppressionV5Attrs {\n  maxOutputSize: number;\n  iouThreshold: number;\n  scoreThreshold: number;\n  softNmsSigma: number;\n}\n\nexport const BroadcastTo = 'BroadcastTo';\nexport type BroadcastToInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface BroadCastToAttrs {\n  shape: number[];\n  inputShape: number[];  // for gradient\n}\n\nexport const OneHot = 'OneHot';\nexport type OneHotInputs = Pick<NamedTensorInfoMap, 'indices'>;\nexport interface OneHotAttrs {\n  depth: number;\n  onValue: number;\n  offValue: number;\n}\n\nexport const Identity = 'Identity';\nexport type IdentityInputs = Pick<NamedTensorInfoMap, 'x'>;\n\nexport const Tile = 'Tile';\nexport type TileInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface TileAttrs {\n  reps: number[];\n}\n\nexport const PadV2 = 'PadV2';\nexport type PadV2Inputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface PadV2Attrs {\n  paddings: Array<[number, number]>;\n  constantValue: number;\n}\n\n/**\n * TensorFlow.js-only kernels\n */\nexport const FromPixels = 'FromPixels';\nexport interface FromPixelsInputs {\n  pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n      HTMLVideoElement;\n}\nexport interface FromPixelsAttrs {\n  numChannels: number;\n}\n\nexport const MaxPoolWithArgmax = 'MaxPoolWithArgmax';\nexport type MaxPoolWithArgmaxInputs = Pick<NamedTensorInfoMap, 'x'>;\nexport interface MaxPoolWithArgmaxAttrs {\n  filterSize: [number, number]|number;\n  strides: [number, number]|number;\n  pad: 'valid'|'same'|number;\n  includeBatchInIndex: boolean;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Add, AddInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B. Supports broadcasting.\n *\n * We also expose `tf.addStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n *\n * ```js\n * // Broadcast add a with b.\n * const a = tf.scalar(5);\n * const b = tf.tensor1d([10, 20, 30, 40]);\n *\n * a.add(b).print();  // or tf.add(a, b)\n * ```\n * @param a The first `tf.Tensor` to add.\n * @param b The second `tf.Tensor` to add. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction add_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'add');\n  let $b = convertToTensor(b, 'b', 'add');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.add($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: AddInputs = {a: $a, b: $b};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* gradient */,\n             Add) as T;\n}\n\nexport const add = op({add_});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Returns the dimensions in the input shape that are broadcasted to\n * produce the provided output shape.\n *\n * The returned dimensions are 0-indexed and sorted. An example:\n * inShape = [4, 1, 3]\n * outShape = [5, 4, 3, 3]\n * result = [1]. Dimension 1 (2nd dimension of input) gets broadcasted 1 => 3.\n */\nexport function getBroadcastDims(\n    inShape: number[], outShape: number[]): number[] {\n  const inRank = inShape.length;\n  const dims: number[] = [];\n  for (let i = 0; i < inRank; i++) {\n    const dim = inRank - 1 - i;\n    const a = inShape[dim] || 1;\n    const b = outShape[outShape.length - 1 - i] || 1;\n    if (b > 1 && a === 1) {\n      dims.unshift(dim);\n    }\n  }\n  return dims;\n}\n\n/**\n * Returns the axes in the output space that should be reduced to produce\n * the input space.\n */\nexport function getReductionAxes(\n    inShape: number[], outShape: number[]): number[] {\n  const result: number[] = [];\n  for (let i = 0; i < outShape.length; i++) {\n    const inDim = inShape[inShape.length - i - 1];\n    const outAxis = outShape.length - i - 1;\n    const outDim = outShape[outAxis];\n    if (inDim == null || (inDim === 1 && outDim > 1)) {\n      result.unshift(outAxis);\n    }\n  }\n  return result;\n}\n\nexport function assertAndGetBroadcastShape(\n    shapeA: number[], shapeB: number[]): number[] {\n  const result: number[] = [];\n  const l = Math.max(shapeA.length, shapeB.length);\n\n  for (let i = 0; i < l; i++) {\n    let a = shapeA[shapeA.length - i - 1];\n    if (a == null) {\n      a = 1;\n    }\n    let b = shapeB[shapeB.length - i - 1];\n    if (b == null) {\n      b = 1;\n    }\n    if (a === 1) {\n      result.unshift(b);\n    } else if (b === 1) {\n      result.unshift(a);\n    } else if (a !== b) {\n      const errMsg = `Operands could not be broadcast together with shapes ` +\n          `${shapeA} and ${shapeB}.`;\n      throw Error(errMsg);\n    } else {\n      result.unshift(a);\n    }\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes `-1 * x` element-wise.\n *\n * ```js\n * const x = tf.tensor2d([1, 2, -2, 0], [2, 2]);\n *\n * x.neg().print();  // or tf.neg(x)\n * ```\n *\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction neg_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'neg');\n\n  const grad = (dy: T) => {\n    return {x: () => dy.neg()};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc(\n      backend => backend.neg($x), {x: $x}, grad, 'Neg', attrs, inputsToSave);\n}\n\n/**\n * Computes ceiling of input `tf.Tensor` element-wise: `ceil(x)`\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.ceil().print();  // or tf.ceil(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction ceil_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'ceil');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.ceil($x), {$x}, grad);\n}\n\n/**\n * Computes floor of input `tf.Tensor` element-wise: `floor(x)`.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.floor().print();  // or tf.floor(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction floor_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'floor');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.floor($x), {$x}, grad);\n}\n\n/**\n * Returns an element-wise indication of the sign of a number.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3, NaN, 0]);\n *\n * x.sign().print();  // or tf.sign(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sign_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sign');\n\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.sign($x), {$x}, grad);\n}\n\n/**\n * RReturns which elements of x are NaN.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isNaN().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isNaN_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isNaN');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isNaN($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are Infinity or -Infinity.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isInf().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isInf_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isInf');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isInf($x), {$x}, grad);\n}\n\n/**\n * Returns which elements of x are finite.\n *\n * ```js\n * const x = tf.tensor1d([NaN, Infinity, -Infinity, 0, 1]);\n *\n * x.isFinite().print();  // or tf.isNaN(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction isFinite_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'isFinite');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.isFinite($x), {$x}, grad);\n}\n\n/**\n * Computes round of input `tf.Tensor` element-wise: `round(x)`.\n * It implements banker's rounding.\n *\n * ```js\n * const x = tf.tensor1d([.6, 1.1, -3.3]);\n *\n * x.round().print();  // or tf.round(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction round_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'round');\n\n  // TODO(nsthorat): Let gradients be null for cases where we want to stop\n  // backpropgation.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.round($x), {$x}, grad);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` element-wise. `e ^ x`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.exp().print();  // or tf.exp(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction exp_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'exp');\n\n  const bck = (dy: T, saved: Tensor[]) => {\n    return {x: () => dy.mulStrict(saved[0] as T)};\n  };\n  const attrs = {};\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.exp($x);\n    save([y]);\n    return y;\n  }, {x: $x}, bck, 'Exp', attrs, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes exponential of the input `tf.Tensor` minus one element-wise.\n * `e ^ x - 1`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, -3]);\n *\n * x.expm1().print();  // or tf.expm1(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction expm1_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'expm1');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.exp())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.expm1($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` element-wise: `ln(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E]);\n *\n * x.log().print();  // or tf.log(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.toFloat())} as {x: () => T};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$x];\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Log', attrs, inputsToSave);\n}\n\n/**\n * Computes natural logarithm of the input `tf.Tensor` plus one\n * element-wise: `ln(1 + x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.E - 1]);\n *\n * x.log1p().print();  // or tf.log1p(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction log1p_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'log1p');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.log1p($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes square root of the input `tf.Tensor` element-wise: `y = sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.sqrt().print();  // or tf.sqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().sqrt().mul(2))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sqrt($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes reciprocal of square root of the input `tf.Tensor` element-wise:\n * `y = 1 / sqrt(x)`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 4, -1]);\n *\n * x.rsqrt().print();  // or tf.rsqrt(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction rsqrt_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'rsqrt');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.div($x.pow(1.5).mul(2)).neg() as T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.rsqrt($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Rsqrt', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes reciprocal of x element-wise: `1 / x`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, 2]);\n *\n * x.reciprocal().print();  // or tf.reciprocal(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction reciprocal_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'reciprocal');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.square().neg())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.reciprocal($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes absolute value element-wise: `abs(x)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.abs().print();  // or tf.abs(x)\n * ```\n * @param x The input `tf.Tensor`.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction abs_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'abs');\n\n  if ($x.dtype === 'complex64') {\n    return ENGINE.runKernelFunc(backend => backend.complexAbs($x), {$x});\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mul($x.toFloat().step(-1))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.abs($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Abs');\n}\n\n/**\n * Clips values element-wise. `max(min(x, clipValueMax), clipValueMin)`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.clipByValue(-2, 3).print();  // or tf.clipByValue(x, -2, 3)\n * ```\n * @param x The input tensor.\n * @param clipValueMin Lower-bound of range to be clipped to.\n * @param clipValueMax Upper-bound of range to be clipped to.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction clipByValue_<T extends Tensor>(\n    x: T|TensorLike, clipValueMin: number, clipValueMax: number): T {\n  const $x = convertToTensor(x, 'x', 'clipByValue');\n  util.assert(\n      (clipValueMin <= clipValueMax),\n      () => `Error in clip: min (${clipValueMin}) must be ` +\n          `less than or equal to max (${clipValueMax}).`);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      x: () => dy.where(\n                   $x.greaterEqual(clipValueMin)\n                       .logicalAnd($x.lessEqual(clipValueMax)),\n                   zerosLike(dy)) as T,\n    };\n  };\n  const inputsToSave = [$x];\n  const attr = {min: clipValueMin, max: clipValueMax};\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.clip($x, clipValueMin, clipValueMax);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ClipByValue', attr, inputsToSave);\n}\n\n/**\n * Computes sigmoid element-wise, `1 / (1 + exp(-x))`\n *\n * ```js\n * const x = tf.tensor1d([0, -1, 2, -3]);\n *\n * x.sigmoid().print();  // or tf.sigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => dy.mul(y.mul(scalar(1).sub(y)))} as {x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.sigmoid($x);\n    save([y]);\n    return y;\n  }, {x: $x}, grad, 'Sigmoid');\n}\n\n/**\n * Computes log sigmoid of the input `tf.Tensor` element-wise:\n * `logSigmoid(x)`. For numerical stability, we use `-tf.softplus(-x)`.\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.logSigmoid().print();  // or tf.logSigmoid(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction logSigmoid_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logSigmoid');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.neg().sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x.neg()).neg();\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes softplus of the input `tf.Tensor` element-wise: `log(exp(x) + 1)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.softplus().print();  // or tf.softplus(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction softplus_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'softplus');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.mul($x.sigmoid())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.softplus($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes sin of the input Tensor element-wise: `sin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.sin().print();  // or tf.sin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().cos().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sin($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Sin', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes cos of the input `tf.Tensor` element-wise: `cos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.cos().print();  // or tf.cos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => $x.toFloat().sin().neg().mul(dy)} as {x: () => T};\n  };\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cos($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Cos', {} /* attrs */, inputsToSave);\n}\n\n/**\n * Computes tan of the input `tf.Tensor` element-wise, `tan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, Math.PI / 2, Math.PI * 3 / 4]);\n *\n * x.tan().print();  // or tf.tan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.cos().square())} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.tan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes asin of the input `tf.Tensor` element-wise: `asin(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asin().print();  // or tf.asin(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asin_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asin');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asin($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes acos of the input `tf.Tensor` element-wise: `acos(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.acos().print();  // or tf.acos(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acos_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acos');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () =>\n          dy.divStrict(scalar(1).sub($x.toFloat().square()).sqrt() as T).neg()\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acos($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes atan of the input `tf.Tensor` element-wise: `atan(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.atan().print();  // or tf.atan(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atan');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div($x.toFloat().square().add(1))} as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic sin of the input `tf.Tensor` element-wise: `sinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.sinh().print();  // or tf.sinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction sinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'sinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().cosh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.sinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic cos of the input `tf.Tensor` element-wise: `cosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.cosh().print();  // or tf.cosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction cosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'cosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => $x.toFloat().sinh().mulStrict(dy) as T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.cosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes hyperbolic tangent of the input `tf.Tensor` element-wise: `tanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, 70]);\n *\n * x.tanh().print();  // or tf.tanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction tanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'tanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {x: () => scalar(1).sub(y.square()).mulStrict(dy) as T};\n  };\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.tanh($x);\n        save([y]);\n        return y;\n      },\n      {x: $x}, grad, 'Tanh', {} /* attrs */, null /* inputsToSave */,\n      outputsToSave);\n}\n\n/**\n * Computes inverse hyperbolic sin of the input `tf.Tensor` element-wise:\n * `asinh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, 1, -1, .7]);\n *\n * x.asinh().print();  // or tf.asinh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction asinh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'asinh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.divStrict(scalar(1).add($x.toFloat().square()).sqrt() as T)\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.asinh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes the inverse hyperbolic cos of the input `tf.Tensor` element-wise:\n * `acosh(x)`\n *\n * ```js\n * const x = tf.tensor1d([10, 1, 3, 5.7]);\n *\n * x.acosh().print();  // or tf.acosh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction acosh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'acosh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.divStrict($x.toFloat().square().sub(1).sqrt() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.acosh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes inverse hyperbolic tan of the input `tf.Tensor` element-wise:\n * `atanh(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.atanh().print();  // or tf.atanh(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atanh_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'atanh');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => dy.div(scalar(1).sub($x.toFloat().square()))} as\n        {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atanh($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes gause error function of the input `tf.Tensor` element-wise:\n * `erf(x)`\n *\n * ```js\n * const x = tf.tensor1d([0, .1, -.1, .7]);\n *\n * x.erf().print(); // or tf.erf(x);\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction erf_<T extends Tensor>(x: T|TensorLike): T {\n  let $x = convertToTensor(x, 'x', 'erf');\n  util.assert(\n      $x.dtype === 'int32' || $x.dtype === 'float32',\n      () => 'Input dtype must be `int32` or `float32`.');\n\n  if ($x.dtype === 'int32') {\n    $x = $x.toFloat();\n  }\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => dy.mul($x.square().neg().exp().mul(2 / Math.sqrt(Math.PI)))\n    } as {$x: () => T};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.erf($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes step of the input `tf.Tensor` element-wise: `x > 0 ? 1 : alpha * x`\n *\n * ```js\n * const x = tf.tensor1d([0, 2, -1, -3]);\n *\n * x.step(.5).print();  // or tf.step(x, .5)\n * ```\n * @param x The input tensor.\n * @param alpha The gradient when input is negative.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction step_<T extends Tensor>(x: T|TensorLike, alpha = 0.0): T {\n  const $x = convertToTensor(x, 'x', 'step');\n\n  // TODO(manrajgrover): Return null for gradients when backprop supports\n  // it.\n  const grad = (dy: T) => {\n    return {$x: () => zerosLike(dy)};\n  };\n  return ENGINE.runKernelFunc(backend => backend.step($x, alpha), {$x}, grad);\n}\n\nexport const abs = op({abs_});\nexport const acos = op({acos_});\nexport const acosh = op({acosh_});\nexport const asin = op({asin_});\nexport const asinh = op({asinh_});\nexport const atan = op({atan_});\nexport const atanh = op({atanh_});\nexport const ceil = op({ceil_});\nexport const clipByValue = op({clipByValue_});\nexport const cos = op({cos_});\nexport const cosh = op({cosh_});\nexport const erf = op({erf_});\nexport const exp = op({exp_});\nexport const expm1 = op({expm1_});\nexport const floor = op({floor_});\nexport const log = op({log_});\nexport const log1p = op({log1p_});\nexport const logSigmoid = op({logSigmoid_});\nexport const neg = op({neg_});\nexport const reciprocal = op({reciprocal_});\nexport const round = op({round_});\nexport const rsqrt = op({rsqrt_});\nexport const sigmoid = op({sigmoid_});\nexport const sign = op({sign_});\nexport const isNaN = op({isNaN_});\nexport const isInf = op({isInf_});\nexport const isFinite = op({isFinite_});\nexport const sin = op({sin_});\nexport const sinh = op({sinh_});\nexport const softplus = op({softplus_});\nexport const sqrt = op({sqrt_});\nexport const step = op({step_});\nexport const tan = op({tan_});\nexport const tanh = op({tanh_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './add';\nimport * as broadcast_util from './broadcast_util';\nimport {op} from './operation';\nimport {scalar, zerosLike} from './tensor_ops';\nimport {neg} from './unary_ops';\n\n/**\n * Adds two `tf.Tensor`s element-wise, A + B.\n *\n * Inputs must be the same shape. For broadcasting support, use add() instead.\n *\n * @param a The first Tensor to add element-wise.\n * @param b The second Tensor to add element-wise.\n */\nfunction addStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'addStrict');\n  const $b = convertToTensor(b, 'b', 'addStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in addStrict: ');\n  return $a.add($b);\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Supports broadcasting.\n *\n * We also expose `tf.subStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n *\n * ```js\n * // Broadcast subtract a with b.\n * const a = tf.tensor1d([10, 20, 30, 40]);\n * const b = tf.scalar(5);\n *\n * a.sub(b).print();  // or tf.sub(a, b)\n * ```\n * @param a The first `tf.Tensor` to subtract from.\n * @param b The second `tf.Tensor` to be subtracted. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction sub_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'sub');\n  let $b = convertToTensor(b, 'b', 'sub');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor) => {\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.neg().reshape($b.shape);\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc(\n             backend => backend.subtract($a, $b), {a: $a, b: $b}, der, 'Sub') as\n      T;\n}\n\n/**\n * Subtracts two `tf.Tensor`s element-wise, A - B. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.sub` instead.\n *\n * @param a The first Tensor to subtract element-wise.\n * @param b The second Tensor to subtract element-wise.\n */\nfunction subStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'subStrict');\n  const $b = convertToTensor(b, 'b', 'subStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in subStrict: ');\n  return $a.sub($b);\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Supports broadcasting.\n *\n * Given a `tf.Tensor` x and a `tf.Tensor` y, this operation computes x^y for\n * corresponding elements in x and y. The result's dtype will be the upcasted\n * type of the `base` and `exp` dtypes.\n *\n * ```js\n * const a = tf.tensor([[2, 3], [4, 5]])\n * const b = tf.tensor([[1, 2], [3, 0]]).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n *\n * ```js\n * const a = tf.tensor([[1, 2], [3, 4]])\n * const b = tf.tensor(2).toInt();\n *\n * a.pow(b).print();  // or tf.pow(a, b)\n * ```\n * We also expose `powStrict` which has the same signature as this op and\n * asserts that `base` and `exp` are the same shape (does not broadcast).\n *\n * @param base The base `tf.Tensor` to pow element-wise.\n * @param exp The exponent `tf.Tensor` to pow element-wise.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction pow_<T extends Tensor>(\n    base: Tensor|TensorLike, exp: Tensor|TensorLike): T {\n  let $base = convertToTensor(base, 'base', 'pow');\n  let $exp = convertToTensor(exp, 'exp', 'pow');\n  [$base, $exp] = makeTypesMatch($base, $exp);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($base.shape, $exp.shape);\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$base, $exp, y] = saved;\n    const derBase = () => {\n      const expFloat = $exp.toFloat();\n      let res = dy.mul(expFloat.mul($base.pow(expFloat.sub(scalar(1)))));\n      const reduceAxes = broadcast_util.getReductionAxes($base.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($base.shape) as T;\n    };\n    const derExp = () => {\n      const condition = $base.greater(0);\n      const logBase = $base.log().where(condition, zerosLike($base));\n      let res = dy.mul(y.mul(logBase));\n      const reduceAxes = broadcast_util.getReductionAxes($exp.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($exp.shape);\n    };\n    return {a: derBase, b: derExp};\n  };\n\n  const attrs = {};\n  const inputsToSave = [$base, $exp];\n  const outputsToSave = [true];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.pow($base, $exp);\n    save([$base, $exp, y]);\n    return y;\n  }, {a: $base, b: $exp}, grad, 'Pow', attrs, inputsToSave, outputsToSave) as T;\n}\n\n/**\n * Computes the power of one `tf.Tensor` to another. Inputs must\n * be the same shape.\n *\n * For broadcasting support, use `tf.pow` instead.\n *\n * @param base The base tensor to pow element-wise.\n * @param exp The exponent tensor to pow element-wise.\n */\nfunction powStrict_<T extends Tensor>(base: T, exp: Tensor): T {\n  util.assertShapesMatch(base.shape, exp.shape, 'Error in powStrict: ');\n  return base.pow(exp);\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B. Supports broadcasting.\n *\n * We also expose `tf.mulStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.tensor1d([2, 3, 4, 5]);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n *\n * ```js\n * // Broadcast mul a with b.\n * const a = tf.tensor1d([1, 2, 3, 4]);\n * const b = tf.scalar(5);\n *\n * a.mul(b).print();  // or tf.mul(a, b)\n * ```\n * @param a The first tensor to multiply.\n * @param b The second tensor to multiply. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mul_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mul');\n  let $b = convertToTensor(b, 'b', 'mul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.mul($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      const res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.multiply($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Mul') as T;\n}\n\n/**\n * Multiplies two `tf.Tensor`s element-wise, A * B.\n *\n * Inputs must be the same shape. For broadcasting support, use `tf.mul`.\n *\n * @param a The first tensor to multiply.\n * @param b The first tensor to multiply. Must have the same\n *    dtype as `a`.\n */\nfunction mulStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'mul');\n  const $b = convertToTensor(b, 'b', 'mul');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in multiplyStrict: ');\n  return $a.mul($b);\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n * The result is rounded with floor function.\n *\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.floorDiv(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.floorDiv(b).print();  // or tf.floorDiv(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction floorDiv_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'floorDiv');\n  let $b = convertToTensor(b, 'b', 'floorDiv');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const res = dy.div($b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul($a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes).reshape($b.shape);\n      }\n      const tmp = $b.square();\n      return res.div(tmp.toFloat()).neg();\n    };\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.floorDiv($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'FloorDiv') as T;\n}\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Inputs must\n * be the same shape.\n *\n * @param a The first tensor as the numerator for element-wise division.\n * @param b The second tensor as the denominator for element-wise division.\n */\nfunction divStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'div');\n  const $b = convertToTensor(b, 'b', 'div');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in divideStrict: ');\n  return $a.div($b);\n}\n\n/**\n * Returns the mod of a and b element-wise.\n * `floor(x / y) * y + mod(x, y) = x`\n * Supports broadcasting.\n *\n * We also expose `tf.modStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * ```js\n * // Broadcast a mod b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.mod(b).print();  // or tf.mod(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction mod_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'mod');\n  let $b = convertToTensor(b, 'b', 'mod');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return dy.sum(reduceAxes).reshape($a.shape);\n      }\n      return dy;\n    };\n    const derB = () => {\n      const res = dy.mul($a.div($b).floor().neg());\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return res.sum(reduceAxes).reshape($b.shape);\n      }\n      return res;\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.mod($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\n/**\n * Returns the mod of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use mod().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction modStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'modStrict');\n  const $b = convertToTensor(b, 'b', 'modStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in modStrict: ');\n  return $a.mod($b);\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `minimumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * ```js\n * // Broadcast minimum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.minimum(b).print();  // or tf.minimum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction minimum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'minimum');\n  let $b = convertToTensor(b, 'b', 'minimum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.lessEqual($b).toFloat());\n    const derB = () => dy.mul($a.greater($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.minimum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Minimum') as T;\n}\n\n/**\n * Returns the min of a and b (`a < b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use minimum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction minimumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'minimumStrict');\n  const $b = convertToTensor(b, 'b', 'minimumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in minimumStrict: ');\n  return $a.minimum($b);\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.maximumStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * ```js\n * // Broadcast maximum a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.maximum(b).print();  // or tf.maximum(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction maximum_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'maximum');\n  let $b = convertToTensor(b, 'b', 'maximum');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'bool') {\n    $a = $a.toInt();\n    $b = $b.toInt();\n  }\n\n  broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => dy.mul($a.greaterEqual($b).toFloat());\n    const derB = () => dy.mul($a.less($b).toFloat());\n    return {a: derA, b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.maximum($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, der, 'Maximum') as T;\n}\n\n/**\n * Returns the max of a and b (`a > b ? a : b`) element-wise. Inputs must\n * be the same shape. For broadcasting support, use maximum().\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n */\nfunction maximumStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'maximumStrict');\n  const $b = convertToTensor(b, 'b', 'maximumStrict');\n  util.assertShapesMatch($a.shape, $b.shape, 'Error in maximumStrict: ');\n  return $a.maximum($b);\n}\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n *\n * Inputs must be the same shape. For broadcasting support, use\n * `tf.squaredDifference` instead.\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\nfunction squaredDifferenceStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'squaredDifferenceStrict');\n  const $b = convertToTensor(b, 'b', 'squaredDifferenceStrict');\n  util.assertShapesMatch(\n      $a.shape, $b.shape, 'Error in squaredDifferenceStrict: ');\n  return $a.squaredDifference($b);\n}\n\n/**\n * Computes arctangent of `tf.Tensor`s a / b element-wise: `atan2(a, b)`.\n * Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([1.0, 1.0, -1.0, .7]);\n * const b = tf.tensor1d([2.0, 13.0, 3.5, .21]);\n *\n * tf.atan2(a, b).print()\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same dtype as `a`.\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction atan2_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'atan2');\n  let $b = convertToTensor(b, 'b', 'atan2');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const outShape =\n      broadcast_util.assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const derA = () => {\n      const d = add($a.square(), $b.square());\n      let res = dy.mul($b.div(d));\n      const reduceAxes = broadcast_util.getReductionAxes($a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($a.shape);\n    };\n    const derB = () => {\n      const d = add($a.square(), $b.square());\n      let res = neg(dy.mul($a.div(d)));\n      const reduceAxes = broadcast_util.getReductionAxes($b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape($b.shape);\n    };\n    return {$a: derA, $b: derB};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.atan2($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {$a, $b}, der) as T;\n}\n\nexport const addStrict = op({addStrict_});\nexport const atan2 = op({atan2_});\nexport const divStrict = op({divStrict_});\nexport const floorDiv = op({floorDiv_});\nexport const maximum = op({maximum_});\nexport const maximumStrict = op({maximumStrict_});\nexport const minimum = op({minimum_});\nexport const minimumStrict = op({minimumStrict_});\nexport const mod = op({mod_});\nexport const modStrict = op({modStrict_});\nexport const mul = op({mul_});\nexport const mulStrict = op({mulStrict_});\nexport const pow = op({pow_});\nexport const powStrict = op({powStrict_});\nexport const squaredDifferenceStrict = op({squaredDifferenceStrict_});\nexport const sub = op({sub_});\nexport const subStrict = op({subStrict_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Div, DivInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {floorDiv} from './binary_ops';\nimport {op} from './operation';\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n *\n * a.div(b).print();  // or tf.div(a, b)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction div_<T extends Tensor>(a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  if ($a.dtype === 'int32' && $b.dtype === 'int32') {\n    return floorDiv($a, $b);\n  }\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.realDivide($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: DivInputs = {a: $a, b: $b};\n  const attrs = {};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* gradient */, Div,\n             attrs) as T;\n}\n\nexport const div = op({div_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\nimport {computeStrides} from '../util';\n\n/**\n * Validate gather nd inputs.\n *\n * @param tensor The tensor contains the source values.\n * @param indices The tensor contains the indices to slice the source.\n *\n * @returns [resultShape, numUpdates, sliceSize, strides]\n */\nexport function prepareAndValidate(\n    tensor: Tensor, indices: Tensor): [number[], number, number, number[]] {\n  if (tensor.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the input to be rank 1 or higher,' +\n        ` but the rank was ${tensor.rank}.`);\n  }\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.gatherND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(\n        'tf.gatherND() expects the indices to be int32 type,' +\n        ` but the dtype was ${indices.dtype}.`);\n  }\n  if (indices.shape[indices.rank - 1] > tensor.rank) {\n    throw new Error(\n        'index innermost dimension length must be <= tensor rank; saw: ' +\n        `${indices.shape[indices.rank - 1]} vs. ${tensor.rank}`);\n  }\n\n  if (tensor.size === 0) {\n    throw new Error(\n        'Requested more than 0 entries, but input is empty.' +\n        ` Input shape: ${tensor.shape}.`);\n  }\n\n  const indicesShape = indices.shape;\n  const sliceRank = indicesShape[indicesShape.length - 1];\n\n  // The result shape is\n  //   indices.shape[:-1] + params.shape[indices.shape[-1]:]\n  let nResult = 1;\n  for (let i = 0; i < indicesShape.length - 1; ++i) {\n    nResult *= indicesShape[i];\n  }\n\n  const inputShape = tensor.shape;\n\n  const resultShape = indicesShape.slice();\n  resultShape.pop();\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < tensor.rank; ++i) {\n    sliceSize *= inputShape[i];\n    resultShape.push(inputShape[i]);\n  }\n\n  const strides =\n      [...computeStrides(tensor.shape).map(stride => stride / sliceSize),\n       1].slice(0, sliceRank);\n\n  return [resultShape, nResult, sliceSize, strides];\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inputs of size above this threshold will be parallelized by calling multiple\n * shader programs.\n */\nimport {nearestDivisor} from '../util';\n\nexport const PARALLELIZE_THRESHOLD = 30;\n\nexport interface ReduceInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n}\n\nexport function computeOptimalWindowSize(inSize: number): number {\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    return inSize;\n  }\n  return nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {TensorInfo} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {computeStrides, sizeFromShape} from '../util';\n\n/**\n * Check whether updates.shape = indices.shape[:batchDim] +\n * shape[sliceDim:]\n *\n * @param x The input tensor.\n */\nexport function validateUpdateShape(\n    shape: number[], indices: Tensor, updates: Tensor) {\n  const sliceDim = (indices.rank > 1) ? indices.shape[indices.rank - 1] : 1;\n  const batchDim = (indices.rank > 1) ? indices.rank - 1 : 1;\n\n  const shapeError = 'Must have updates.shape = indices.shape[:batchDim] + ' +\n      `shape[sliceDim:], got updates.shape: ${updates.shape}` +\n      `, indices.shape: ${indices.shape}, shape: ${shape}` +\n      `, sliceDim: ${sliceDim}, and batchDim: ${batchDim}.`;\n\n  if (updates.rank < batchDim) {\n    throw new Error(shapeError + ` update.rank < ${batchDim}. `);\n  }\n  if (shape.length < sliceDim + (updates.rank - batchDim)) {\n    throw new Error(\n        shapeError +\n        ` Output shape length < ${sliceDim + (updates.rank - batchDim)}`);\n  }\n  if (updates.rank !== batchDim + shape.length - sliceDim) {\n    throw new Error(\n        shapeError + ` update.rank != ${batchDim + shape.length - sliceDim}`);\n  }\n  for (let d = 0; d < batchDim; ++d) {\n    if (updates.shape[d] !== indices.shape[d]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d}] (${updates.shape[d]}) != indices.shape[${d}] (${\n              indices.shape[d]}).`);\n    }\n  }\n  for (let d = 0; d < updates.rank - batchDim; ++d) {\n    if (updates.shape[d + batchDim] !== shape[d + sliceDim]) {\n      throw new Error(\n          shapeError +\n          ` updates.shape[${d + batchDim}] (${\n              updates.shape[d + batchDim]}) != shape[${d + batchDim}] (${\n              shape[d + batchDim]})`);\n    }\n  }\n}\n\nexport interface ScatterShapeInfo {\n  sliceRank: number;\n  numUpdates: number;\n  sliceSize: number;\n  strides: number[];\n  outputSize: number;\n}\n/**\n * Validate scatter nd inputs.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n */\nexport function validateInput(\n    updates: Tensor, indices: Tensor, shape: number[]) {\n  if (indices.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the indices to be rank 1 or higher,' +\n        ` but the rank was ${indices.rank}.`);\n  }\n  if (updates.rank < 1) {\n    throw new Error(\n        'tf.scatterND() expects the updates to be rank 1 or higher,' +\n        ` but the rank was ${updates.rank}.`);\n  }\n  if (indices.dtype !== 'int32') {\n    throw new Error(`The dtype of 'indices' should be int32, but got dtype: ${\n        indices.dtype}`);\n  }\n  if (shape.length < 1) {\n    throw new Error(\n        `Output rank must be greater or equal to 1, but got shape: ${shape}`);\n  }\n\n  if (shape.length === 0) {\n    if (indices.size === 0) {\n      throw new Error(`Indices specified for empty output. indices shape: ${\n          indices.shape}`);\n    }\n    if (updates.size === 0) {\n      throw new Error(`Updates specified for empty output. updates shape: ${\n          updates.shape}`);\n    }\n  }\n\n  validateUpdateShape(shape, indices, updates);\n}\n\n/**\n * Calculate the shape information for the output.\n *\n * @param update The tensor contains the update values.\n * @param indices The tensor contains the indices for the update values.\n * @param shape The shape of the output tensor.\n *\n * @returns ScatterShapeInfo\n */\nexport function calculateShapes(\n    updates: TensorInfo, indices: TensorInfo,\n    shape: number[]): ScatterShapeInfo {\n  // Calculate the number of dimensions in indices\n  const indicesRank = indices.shape.length;\n  const sliceRank = (indicesRank > 1) ? indices.shape[indicesRank - 1] : 1;\n\n  // Calculate the number of elements that make up each slice of our updated\n  // tensor. This allows us to work with flattened tensors and copy over whole\n  // slices at a time.\n  const totalNd = shape.length;\n\n  let sliceSize = 1;\n  for (let i = sliceRank; i < totalNd; ++i) {\n    sliceSize *= shape[i];\n  }\n\n  const safeSliceDim = (sliceRank < 1) ? 1 : sliceRank;\n  const numUpdates = sizeFromShape(indices.shape) / safeSliceDim;\n\n  const strides = [...computeStrides(shape.slice(0, sliceRank)), 1];\n  const outputSize = sizeFromShape(shape);\n  return {sliceRank, numUpdates, sliceSize, strides, outputSize};\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\nexport function assertParamsValid(\n    input: Tensor, begin: number[], size: number[]): void {\n  util.assert(\n      input.rank === begin.length,\n      () => `Error in slice${input.rank}D: Length of begin ${begin} must ` +\n          `match the rank of the array (${input.rank}).`);\n  util.assert(\n      input.rank === size.length,\n      () => `Error in slice${input.rank}D: Length of size ${size} must ` +\n          `match the rank of the array (${input.rank}).`);\n\n  for (let i = 0; i < input.rank; ++i) {\n    util.assert(\n        begin[i] + size[i] <= input.shape[i],\n        () => `Error in slice${input.rank}D: begin[${i}] + size[${i}] ` +\n            `(${begin[i] + size[i]}) would overflow input.shape[${i}] (${\n                  input.shape[i]})`);\n  }\n}\n\n/** Converts a binary mask to an array of axes. Used in stridedSlice(). */\nexport function maskToAxes(mask: number): number[] {\n  const axes = [];\n  let axis = 0;\n  while (mask > 0) {\n    if (mask & 1) {\n      axes.push(axis);\n    }\n    mask /= 2;\n    axis++;\n  }\n  return axes;\n}\n\n/** Computes the output shape given the strided slice params. */\nexport function computeOutShape(\n    begin: number[], end: number[], strides: number[]): number[] {\n  const size = [];\n  for (let axis = 0; axis < begin.length; axis++) {\n    size[axis] = Math.ceil((end[axis] - begin[axis]) / strides[axis]);\n  }\n  return size;\n}\n\nexport function startForAxis(\n    beginMask: number, startIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let start = startIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of beginMask or the begin index is not set\n  // for the axis.\n  if (beginMask & 1 << axis || start == null) {\n    if (stride > 0) {\n      // Forward iteration - use the first element. These values will get\n      // clamped below (Note: We could have set them to 0 and axis_size-1, but\n      // use lowest() and max() to maintain symmetry with StopForAxis())\n      start = Number.MIN_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the last element.\n      start = Number.MAX_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (start < 0) {\n    start += axisSize;\n  }\n\n  // Clamping\n  start = util.clamp(0, start, axisSize - 1);\n\n  return start;\n}\n\nexport function stopForAxis(\n    endMask: number, stopIndices: number[], strides: number[],\n    inputShape: number[], axis: number): number {\n  // Begin with the specified index\n  let stop = stopIndices[axis];\n  const stride = strides[axis] || 1;\n\n  // Check the axis bit from right of endMask or if the stop index is not set\n  // for this axis.\n  if (endMask & (1 << axis) || stop == null) {\n    if (stride > 0) {\n      // Forward iteration - use the last element. These values will get\n      // clamped below\n      stop = Number.MAX_SAFE_INTEGER;\n    } else {\n      // Backward iteration - use the first element.\n      stop = Number.MIN_SAFE_INTEGER;\n    }\n  }\n\n  // Handle negative indices\n  const axisSize = inputShape[axis];\n  if (stop < 0) {\n    stop += axisSize;\n  }\n\n  // Clamping\n  // Because the end index points one past the last element, we need slightly\n  // different clamping ranges depending on the direction.\n  if (stride > 0) {\n    // Forward iteration\n    stop = util.clamp(0, stop, axisSize);\n  } else {\n    // Backward iteration\n    stop = util.clamp(-1, stop, axisSize - 1);\n  }\n\n  return stop;\n}\n\n/**\n * Returns true if the slice occupies a continous set of elements in the\n * 'flat' space.\n */\nexport function isSliceContinous(\n    shape: number[], begin: number[], size: number[]) {\n  // Index of the first axis that has size > 1.\n  let firstNonOneAxis = size.length;\n  for (let i = 0; i < size.length; i++) {\n    if (size[i] > 1) {\n      firstNonOneAxis = i;\n      break;\n    }\n  }\n\n  for (let i = firstNonOneAxis + 1; i < size.length; i++) {\n    if (begin[i] > 0 || size[i] !== shape[i]) {\n      return false;\n    }\n  }\n  return true;\n}\n\nexport function computeFlatOffset(begin: number[], strides: number[]): number {\n  let flatOffset = begin.length > 0 ? begin[begin.length - 1] : 1;\n  for (let i = 0; i < begin.length - 1; i++) {\n    flatOffset += begin[i] * strides[i];\n  }\n  return flatOffset;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {CustomGradientFunc, ENGINE} from './engine';\nimport {Scalar, Tensor, Variable} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {convertToTensor, convertToTensorArray} from './tensor_util_env';\nimport {TensorLike} from './types';\nimport * as util from './util';\n\n/**\n * Provided `f(x)`, returns another function `g(x, dy?)`, which gives the\n * gradient of `f(x)` with respect to `x`.\n *\n * If `dy` is provided, the gradient of `f(x).mul(dy).sum()` with respect to\n * `x` is computed instead. `f(x)` must take a single tensor `x` and return a\n * single tensor `y`. If `f()` takes multiple inputs, use `tf.grads` instead.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.grad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * g(x).print();\n * ```\n *\n * ```js\n * // f(x) = x ^ 3\n * const f = x => x.pow(tf.scalar(3, 'int32'));\n * // f'(x) = 3x ^ 2\n * const g = tf.grad(f);\n * // f''(x) = 6x\n * const gg = tf.grad(g);\n *\n * const x = tf.tensor1d([2, 3]);\n * gg(x).print();\n * ```\n *\n * @param f The function f(x), to compute gradient for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grad(f: (x: Tensor) => Tensor): (\n    x: TensorLike|Tensor, dy?: TensorLike|Tensor) => Tensor {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grad(f) must be a function');\n  return (x: TensorLike|Tensor, dy?: TensorLike|Tensor): Tensor => {\n    // x can be of any dtype, thus null as the last argument.\n    const $x = convertToTensor(x, 'x', 'tf.grad', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grad') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f($x), [$x], $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grad(f)(x, dy) must match the shape ' +\n                'returned by f(x)');\n      }\n      checkGrads(grads);\n      return grads[0];\n    });\n  };\n}\n\n/**\n * Provided `f(x1, x2,...)`, returns another function `g([x1, x2,...], dy?)`,\n * which gives an array of gradients of `f()` with respect to each input\n * [`x1`,`x2`,...].\n *\n * If `dy` is passed when calling `g()`, the gradient of\n * `f(x1,...).mul(dy).sum()` with respect to each input is computed instead.\n * The provided `f` must take one or more tensors and return a single tensor\n * `y`. If `f()` takes a single input, we recommend using `tf.grad` instead.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df / da = b, df / db = a\n * const g = tf.grads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const [da, db] = g([a, b]);\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n *\n * @param f The function `f(x1, x2,...)` to compute gradients for.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction grads(f: (...args: Tensor[]) => Tensor): (\n    args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike) => Tensor[] {\n  util.assert(\n      util.isFunction(f), () => 'The f passed in grads(f) must be a function');\n  return (args: Array<Tensor|TensorLike>, dy?: Tensor|TensorLike): Tensor[] => {\n    util.assert(\n        Array.isArray(args),\n        () => 'The args passed in grads(f)(args) must be an array ' +\n            'of `Tensor`s or `TensorLike`s');\n    // args can be of any dtype, thus null as the last argument.\n    const $args = convertToTensorArray(args, 'args', 'tf.grads', null);\n    const $dy: Tensor =\n        (dy != null) ? convertToTensor(dy, 'dy', 'tf.grads') : null;\n    return ENGINE.tidy(() => {\n      const {value, grads} = ENGINE.gradients(() => f(...$args), $args, $dy);\n      if ($dy != null) {\n        util.assertShapesMatch(\n            value.shape, $dy.shape,\n            'The shape of dy passed in grads(f)([x1,...], dy) must ' +\n                'match the shape returned by f([x1,...])');\n      }\n      checkGrads(grads);\n      return grads;\n    });\n  };\n}\n\n/**\n * Like `tf.grad`, but also returns the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grad: The gradient of `f(x)` w.r.t `x` (result of `tf.grad`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(x) = x ^ 2\n * const f = x => x.square();\n * // f'(x) = 2x\n * const g = tf.valueAndGrad(f);\n *\n * const x = tf.tensor1d([2, 3]);\n * const {value, grad} = g(x);\n *\n * console.log('value');\n * value.print();\n * console.log('grad');\n * grad.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrad<I extends Tensor, O extends Tensor>(f: (x: I) => O): (\n    x: I, dy?: O) => {\n  value: O;\n  grad: I;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrad(f) must be a function');\n  return (x: I, dy?: O) => {\n    util.assert(\n        x instanceof Tensor,\n        () => 'The x passed in valueAndGrad(f)(x) must be a tensor');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrad(f)(x, dy) must be a tensor');\n    const {grads, value} = ENGINE.gradients(() => f(x), [x], dy);\n    checkGrads(grads);\n    return {grad: grads[0] as I, value};\n  };\n}\n\n/**\n * Like `tf.grads`, but returns also the value of `f()`. Useful when `f()`\n * returns a metric you want to show.\n *\n * The result is a rich object with the following properties:\n * - grads: The gradients of `f()` w.r.t each input (result of `tf.grads`).\n * - value: The value returned by `f(x)`.\n *\n * ```js\n * // f(a, b) = a * b\n * const f = (a, b) => a.mul(b);\n * // df/da = b, df/db = a\n * const g = tf.valueAndGrads(f);\n *\n * const a = tf.tensor1d([2, 3]);\n * const b = tf.tensor1d([-2, -3]);\n * const {value, grads} = g([a, b]);\n *\n * const [da, db] = grads;\n *\n * console.log('value');\n * value.print();\n *\n * console.log('da');\n * da.print();\n * console.log('db');\n * db.print();\n * ```\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction valueAndGrads<O extends Tensor>(f: (...args: Tensor[]) => O): (\n    args: Tensor[], dy?: O) => {\n  grads: Tensor[];\n  value: O;\n} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in valueAndGrads(f) must be a function');\n  return (args: Tensor[], dy?: O) => {\n    util.assert(\n        Array.isArray(args) && args.every(arg => arg instanceof Tensor),\n        () => 'The args passed in valueAndGrads(f)(args) must be array of ' +\n            'tensors');\n    util.assert(\n        dy == null || dy instanceof Tensor,\n        () => 'The dy passed in valueAndGrads(f)(args, dy) must be a tensor');\n    const res = ENGINE.gradients(() => f(...args), args, dy);\n    if (dy != null) {\n      util.assertShapesMatch(\n          res.value.shape, dy.shape,\n          'The shape of dy passed in valueAndGrads(f)([x1,...], dy) must ' +\n              'match the shape returned by f([x1,...])');\n    }\n    checkGrads(res.grads);\n    return res;\n  };\n}\n\n/**\n * Computes and returns the gradient of f(x) with respect to the list of\n * trainable variables provided by `varList`. If no list is provided, it\n * defaults to all trainable variables.\n *\n * ```js\n * const a = tf.variable(tf.tensor1d([3, 4]));\n * const b = tf.variable(tf.tensor1d([5, 6]));\n * const x = tf.tensor1d([1, 2]);\n *\n * // f(a, b) = a * x ^ 2 + b * x\n * const f = () => a.mul(x.square()).add(b.mul(x)).sum();\n * // df/da = x ^ 2, df/db = x\n * const {value, grads} = tf.variableGrads(f);\n *\n * Object.keys(grads).forEach(varName => grads[varName].print());\n * ```\n *\n * @param f The function to execute. f() should return a scalar.\n * @param varList The list of variables to compute the gradients with respect\n *     to. Defaults to all trainable variables.\n * @returns An object with the following keys and values:\n *   - `value`: The value of the function `f`.\n *   - `grads`: A map from the names of the variables to the gradients.\n *     If the `varList` argument is provided explicitly and contains a subset of\n *     non-trainable variables, this map in the return value will contain keys\n *     that map the names of the non-trainable variables to `null`.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction variableGrads(f: () => Scalar, varList?: Variable[]):\n    {value: Scalar, grads: NamedTensorMap} {\n  util.assert(\n      util.isFunction(f),\n      () => 'The f passed in variableGrads(f) must be a function');\n  util.assert(\n      varList == null ||\n          Array.isArray(varList) && varList.every(v => v instanceof Variable),\n      () =>\n          'The varList passed in variableGrads(f, varList) must be an array ' +\n          'of variables');\n\n  const specifiedVarList = varList != null;\n  if (!specifiedVarList) {\n    // Get all of the trainable variables.\n    varList = [];\n    for (const varName in ENGINE.registeredVariables) {\n      varList.push(ENGINE.registeredVariables[varName]);\n    }\n  }\n\n  const specifiedNonTrainable: Variable[] =\n      specifiedVarList ? varList.filter(variable => !variable.trainable) : null;\n\n  // Prune non-trainable variables.\n  const originalVarCount = varList.length;\n  varList = varList.filter(variable => variable.trainable);\n  util.assert(\n      varList.length > 0,\n      () => `variableGrads() expects at least one of the input variables to ` +\n          `be trainable, but none of the ${originalVarCount} variables is ` +\n          `trainable.`);\n\n  const allowNoGradients = true;\n  const {value, grads} = ENGINE.gradients(f, varList, null, allowNoGradients);\n\n  util.assert(\n      grads.some(g => g != null),\n      () => 'Cannot find a connection between any variable and the result of ' +\n          'the loss function y=f(x). Please make sure the operations that ' +\n          'use variables are inside the function f passed to minimize().');\n  util.assert(\n      value.rank === 0,\n      () => `The f passed in variableGrads(f) must return a scalar, but it ` +\n          `returned a rank-${value.rank} tensor`);\n\n  const namedGrads: NamedTensorMap = {};\n  varList.forEach((v, i) => {\n    if (grads[i] != null) {\n      namedGrads[v.name] = grads[i];\n    }\n  });\n  if (specifiedNonTrainable != null) {\n    // If varList is explicitly provided and contains non-trainable values,\n    // add them to the returned gradients with `null` values.\n    specifiedNonTrainable.forEach(v => namedGrads[v.name] = null);\n  }\n  return {value, grads: namedGrads};\n}\n\n/**\n * Overrides the gradient computation of a function `f`.\n *\n * Takes a function\n * `f(...inputs, save) => {value: Tensor, gradFunc: (dy, saved) => Tensor[]}`\n * and returns another function `g(...inputs)` which takes the same inputs as\n * `f`. When called, `g` returns `f().value`. In backward mode, custom gradients\n * with respect to each input of `f` are computed using `f().gradFunc`.\n *\n * The `save` function passsed to `f` should be used for saving tensors needed\n * in the gradient. And the `saved` passed to the `gradFunc` is a\n * `NamedTensorMap`, which contains those saved tensor.\n *\n * ```js\n * const customOp = tf.customGrad((x, save) => {\n *   // Save x to make sure it's available later for the gradient.\n *   save([x]);\n *   // Override gradient of our custom x ^ 2 op to be dy * abs(x);\n *   return {\n *     value: x.square(),\n *     // Note `saved.x` which points to the `x` we saved earlier.\n *     gradFunc: (dy, saved) => [dy.mul(saved[0].abs())]\n *   };\n * });\n *\n * const x = tf.tensor1d([-1, -2, 3]);\n * const dx = tf.grad(x => customOp(x));\n *\n * console.log(`f(x):`);\n * customOp(x).print();\n * console.log(`f'(x):`);\n * dx(x).print();\n * ```\n *\n * @param f The function to evaluate in forward mode, which should return\n *     `{value: Tensor, gradFunc: (dy, saved) => Tensor[]}`, where `gradFunc`\n *     returns the custom gradients of `f` with respect to its inputs.\n */\n/** @doc {heading: 'Training', subheading: 'Gradients'} */\nfunction customGrad<T extends Tensor>(f: CustomGradientFunc<T>):\n    (...args: Tensor[]) => T {\n  return ENGINE.customGrad(f);\n}\n\nfunction checkGrads(grads: Tensor[]) {\n  const numNullGradients = grads.filter(g => g == null).length;\n  if (numNullGradients > 0) {\n    throw new Error(\n        `Cannot compute gradient of y=f(x) with respect to x. Make sure that\n    the f you passed encloses all operations that lead from x to y.`);\n  }\n}\n\nexport {\n  customGrad,\n  variableGrads,\n  valueAndGrad,\n  valueAndGrads,\n  grad,\n  grads,\n};\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Computes the softmax normalized vector given the logits.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.softmax().print();  // or tf.softmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction softmax_<T extends Tensor>(logits: T|TensorLike, dim = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'softmax', 'float32');\n\n  if (dim === -1) {\n    dim = $logits.rank - 1;\n  }\n  if (dim !== $logits.rank - 1) {\n    throw Error(\n        'Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and dim was ${dim}`);\n  }\n\n  const inputsToSave: Tensor[] = [];\n  const outputsToSave = [true];\n\n  return ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.softmax($logits, dim);\n        save([y]);\n        return y;\n      },\n      {logits: $logits},\n      (dy: T, saved: Tensor[]) => {\n        const [y] = saved;\n        const dyTimesY = dy.mul(y);\n        const keepDims = true;\n\n        return {\n          logits: () => dyTimesY.sub(dyTimesY.sum([dim], keepDims).mul(y))\n        };\n      },\n      'Softmax', {dim}, inputsToSave, outputsToSave);\n}\n\n/**\n * Computes the log softmax.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * ```js\n * const a = tf.tensor2d([2, 4, 6, 1, 2, 3], [2, 3]);\n *\n * a.logSoftmax().print();  // or tf.logSoftmax(a)\n * ```\n *\n * @param logits The logits array.\n * @param axis The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction logSoftmax_<T extends Tensor>(logits: T|TensorLike, axis = -1): T {\n  const $logits = convertToTensor(logits, 'logits', 'logSoftmax');\n\n  if (axis === -1) {\n    axis = $logits.rank - 1;\n  }\n  if (axis !== $logits.rank - 1) {\n    throw Error(\n        'Log Softmax along a non-last dimension is not yet supported. ' +\n        `Logits was rank ${$logits.rank} and axis was ${axis}`);\n  }\n\n  const customOp = customGrad((logits: Tensor, save: GradSaveFunc) => {\n    const keepDims = true;\n    const xMax = logits.max(axis, true);\n    const shifted = logits.sub(xMax);\n    const value =\n        shifted.toFloat().sub(shifted.exp().sum(axis, keepDims).log());\n    save([value]);\n    const gradFunc = (dy: T, saved: Tensor[]) => {\n      const [value] = saved;\n      const softmax = value.exp();\n      return dy.sub(dy.sum(axis, keepDims).mul(softmax));\n    };\n\n    return {value, gradFunc};\n  });\n\n  return customOp($logits) as T;\n}\n\nexport const softmax = op({softmax_});\nexport const logSoftmax = op({logSoftmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Transposes the `tf.Tensor`. Permutes the dimensions according to `perm`.\n *\n * The returned `tf.Tensor`'s dimension `i` will correspond to the input\n * dimension `perm[i]`. If `perm` is not given, it is set to `[n-1...0]`,\n * where `n` is the rank of the input `tf.Tensor`. Hence by default, this\n * operation performs a regular matrix transpose on 2-D input `tf.Tensor`s.\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);\n *\n * a.transpose().print();  // or tf.transpose(a)\n * ```\n *\n * @param x The tensor to transpose.\n * @param perm The permutation of the dimensions of a.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction transpose_<T extends Tensor>(x: T|TensorLike, perm?: number[]): T {\n  const $x = convertToTensor(x, 'x', 'transpose');\n\n  if (perm == null) {\n    perm = $x.shape.map((s, i) => i).reverse();\n  }\n  util.assert(\n      $x.rank === perm.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of perm ${perm}.`);\n  perm.forEach(axis => {\n    util.assert(\n        axis >= 0 && axis < $x.rank,\n        () => `All entries in 'perm' must be between 0 and ${$x.rank - 1}` +\n            ` but got ${perm}`);\n  });\n\n  if ($x.rank <= 1) {\n    return $x.clone();\n  }\n\n  const attrs = {perm};\n  return ENGINE.runKernelFunc(\n      backend => backend.transpose($x, perm), {x: $x}, null /* gradient */,\n      'Transpose', attrs);\n}\n\nexport const transpose = op({transpose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../ops/conv_util';\nimport {FusedBatchMatMulConfig, FusedConv2DConfig} from '../ops/fused_util';\nimport {Backend, DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {BackendValues, DataType, Rank, ShapeMap} from '../types';\n\nexport const EPSILON_FLOAT32 = 1e-7;\nexport const EPSILON_FLOAT16 = 1e-4;\n\n// Required information for all backends.\nexport interface BackendTimingInfo {\n  kernelMs: number|{error: string};\n  getExtraProfileInfo?(): string;  // a field for additional timing information\n                                   // e.g. packing / unpacking for WebGL backend\n}\n\nexport interface TensorStorage {\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n  disposeData(dataId: DataId): void;\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId;\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void;\n  memory(): {unreliable: boolean;};  // Backend-specific information.\n  /** Returns number of data ids currently in the storage. */\n  numDataIds(): number;\n}\n\n/** Convenient class for storing tensor-related data. */\nexport class DataStorage<T> {\n  private data = new WeakMap<DataId, T>();\n  private dataIdsCount = 0;\n\n  constructor(private backend: KernelBackend, private dataMover: DataMover) {}\n\n  get(dataId: DataId) {\n    if (!this.data.has(dataId)) {\n      this.dataMover.moveData(this.backend, dataId);\n    }\n    return this.data.get(dataId);\n  }\n\n  set(dataId: DataId, value: T): void {\n    this.dataIdsCount++;\n    this.data.set(dataId, value);\n  }\n\n  has(dataId: DataId): boolean {\n    return this.data.has(dataId);\n  }\n\n  delete(dataId: DataId): boolean {\n    this.dataIdsCount--;\n    return this.data.delete(dataId);\n  }\n\n  numDataIds(): number {\n    return this.dataIdsCount;\n  }\n}\n\nexport interface DataMover {\n  /**\n   * To be called by backends whenever they see a dataId that they don't own.\n   * Upon calling this method, the mover will fetch the tensor from another\n   * backend and register it with the current active backend.\n   */\n  moveData(backend: KernelBackend, dataId: DataId): void;\n}\n\nexport interface BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo>;\n}\n\n/**\n * The interface that defines the kernels that should be implemented when\n * adding a new backend. New backends don't need to implement every one of the\n * methods, this can be done gradually (throw an error for unimplemented\n * methods).\n */\nexport class KernelBackend implements TensorStorage, Backend, BackendTimer {\n  time(f: () => void): Promise<BackendTimingInfo> {\n    return notYetImplemented('time');\n  }\n  read(dataId: object): Promise<BackendValues> {\n    return notYetImplemented('read');\n  }\n  readSync(dataId: object): BackendValues {\n    return notYetImplemented('readSync');\n  }\n  numDataIds(): number {\n    return notYetImplemented('numDataIds');\n  }\n  disposeData(dataId: object): void {\n    return notYetImplemented('disposeData');\n  }\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    return notYetImplemented('write');\n  }\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    return notYetImplemented('move');\n  }\n  memory(): {unreliable: boolean; reasons?: string[]} {\n    return notYetImplemented('memory');\n  }\n  /** Returns the highest precision for floats in bits (e.g. 16 or 32) */\n  floatPrecision(): 16|32 {\n    return notYetImplemented('floatPrecision');\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    return notYetImplemented('batchMatMul');\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    return notYetImplemented('fusedBatchMatMul');\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    return notYetImplemented('slice');\n  }\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    return notYetImplemented('stridedSlice');\n  }\n  unstack(x: Tensor, axis: number): Tensor[] {\n    return notYetImplemented('unstack');\n  }\n  reverse<T extends Tensor>(a: T, axis: number[]): T {\n    return notYetImplemented('reverse');\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    return notYetImplemented('concat');\n  }\n\n  neg<T extends Tensor>(a: T): T {\n    return notYetImplemented('neg');\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('add');\n  }\n  addN<T extends Tensor>(tensors: T[]): T {\n    return notYetImplemented('addN');\n  }\n  subtract(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('subtract');\n  }\n  multiply(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('multiply');\n  }\n  realDivide(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('realDivide');\n  }\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('floorDiv');\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('sum');\n  }\n  prod(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('prod');\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    return notYetImplemented('unsortedSegmentSum');\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMin');\n  }\n  argMax(x: Tensor, axis: number): Tensor {\n    return notYetImplemented('argMax');\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('equal');\n  }\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('notEqual');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('less');\n  }\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('lessEqual');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greater');\n  }\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('greaterEqual');\n  }\n\n  logicalNot<T extends Tensor>(a: T): T {\n    return notYetImplemented('logicalNot');\n  }\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalAnd');\n  }\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('logicalOr');\n  }\n\n  where(condition: Tensor): Tensor2D {\n    return notYetImplemented('where');\n  }\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('select');\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    return notYetImplemented('topk');\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('min');\n  }\n  minimum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('minimum');\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('mod');\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('max');\n  }\n  maximum(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('maximum');\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('all');\n  }\n  any(x: Tensor, axes: number[]): Tensor {\n    return notYetImplemented('any');\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    return notYetImplemented('squaredDifference');\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    return notYetImplemented('ceil');\n  }\n  floor<T extends Tensor>(x: T): T {\n    return notYetImplemented('floor');\n  }\n  round<T extends Tensor>(x: T): T {\n    return notYetImplemented('round');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    return notYetImplemented('sign');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    return notYetImplemented('isNaN');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    return notYetImplemented('isInf');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    return notYetImplemented('isFinite');\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    return notYetImplemented('pow');\n  }\n  exp<T extends Tensor>(x: T): T {\n    return notYetImplemented('exp');\n  }\n  expm1<T extends Tensor>(x: T): T {\n    return notYetImplemented('expm1');\n  }\n  softmax<T extends Tensor>(x: T, dim: number): T {\n    return notYetImplemented('softmax');\n  }\n  log<T extends Tensor>(x: T): T {\n    return notYetImplemented('log');\n  }\n  log1p<T extends Tensor>(x: T): T {\n    return notYetImplemented('log1p');\n  }\n  sqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('sqrt');\n  }\n  rsqrt<T extends Tensor>(x: T): T {\n    return notYetImplemented('rsqrt');\n  }\n  square<T extends Tensor>(x: T): T {\n    return notYetImplemented('square');\n  }\n  reciprocal<T extends Tensor>(x: T): T {\n    return notYetImplemented('reciprocal');\n  }\n  relu<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu');\n  }\n  relu6<T extends Tensor>(x: T): T {\n    return notYetImplemented('relu6');\n  }\n  prelu<T extends Tensor>(x: T, a: T): T {\n    return notYetImplemented('prelu');\n  }\n  elu<T extends Tensor>(x: T): T {\n    return notYetImplemented('elu');\n  }\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    return notYetImplemented('eluDer');\n  }\n  selu<T extends Tensor>(x: T): T {\n    return notYetImplemented('selu');\n  }\n  int<T extends Tensor>(x: T): T {\n    return notYetImplemented('int');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    return notYetImplemented('clip');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    return notYetImplemented('abs');\n  }\n  complexAbs<T extends Tensor>(x: T): T {\n    return notYetImplemented('complexAbs');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    return notYetImplemented('sigmoid');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    return notYetImplemented('softplus');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    return notYetImplemented('sin');\n  }\n  cos<T extends Tensor>(x: T): T {\n    return notYetImplemented('cos');\n  }\n  tan<T extends Tensor>(x: T): T {\n    return notYetImplemented('tan');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    return notYetImplemented('asin');\n  }\n  acos<T extends Tensor>(x: T): T {\n    return notYetImplemented('acos');\n  }\n  atan<T extends Tensor>(x: T): T {\n    return notYetImplemented('atan');\n  }\n  atan2<T extends Tensor>(a: T, b: T): T {\n    return notYetImplemented('atan2');\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('sinh');\n  }\n  cosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('cosh');\n  }\n  tanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('tanh');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    return notYetImplemented('asinh');\n  }\n  acosh<T extends Tensor>(x: T): T {\n    return notYetImplemented('acosh');\n  }\n  atanh<T extends Tensor>(x: T): T {\n    return notYetImplemented('atanh');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    return notYetImplemented('erf');\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    return notYetImplemented('step');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedConv2d');\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2d');\n  }\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('conv2dDerInput');\n  }\n  conv2dDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('conv2dDerFilter');\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    return notYetImplemented('fusedDepthwiseConv2D');\n  }\n\n  depthwiseConv2D(input: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2D');\n  }\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerInput');\n  }\n  depthwiseConv2DDerFilter(x: Tensor4D, dY: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('depthwiseConv2DDerFilter');\n  }\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3d');\n  }\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    return notYetImplemented('conv3dDerInput');\n  }\n  conv3dDerFilter(x: Tensor5D, dY: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('conv3dDerFilter');\n  }\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('maxPool');\n  }\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    return notYetImplemented('maxPoolBackprop');\n  }\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPool');\n  }\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    return notYetImplemented('avgPoolBackprop');\n  }\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3d');\n  }\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('avgPool3dBackprop');\n  }\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3d');\n  }\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    return notYetImplemented('maxPool3dBackprop');\n  }\n\n  reshape<T extends Tensor, R extends Rank>(x: T, shape: ShapeMap[R]):\n      Tensor<R> {\n    return notYetImplemented('reshape');\n  }\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return notYetImplemented('cast');\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    return notYetImplemented('tile');\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    return notYetImplemented('pad');\n  }\n\n  transpose<T extends Tensor>(x: T, perm: number[]): T {\n    return notYetImplemented('transpose');\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    return notYetImplemented('gather');\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    return notYetImplemented('gatherND');\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return notYetImplemented('scatterND');\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    return notYetImplemented('batchToSpaceND');\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: number[][]): T {\n    return notYetImplemented('spaceToBatchND');\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeBilinear');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    return notYetImplemented('resizeBilinearBackprop');\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHEight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighbor');\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    return notYetImplemented('resizeNearestNeighborBackprop');\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    return notYetImplemented('batchNormalization');\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    return notYetImplemented('localResponseNormalization4D');\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D, radius: number,\n      bias: number, alpha: number, beta: number): Tensor4D {\n    return notYetImplemented('LRNGrad');\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    return notYetImplemented('multinomial');\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    return notYetImplemented('oneHot');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    return notYetImplemented('cumsum');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold?: number): Tensor1D {\n    return notYetImplemented('nonMaxSuppression');\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('fft');\n  }\n  ifft(x: Tensor2D): Tensor2D {\n    return notYetImplemented('ifft');\n  }\n  complex<T extends Tensor>(real: T, imag: T): T {\n    return notYetImplemented('complex');\n  }\n  real<T extends Tensor>(input: T): T {\n    return notYetImplemented('real');\n  }\n  imag<T extends Tensor>(input: T): T {\n    return notYetImplemented('imag');\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    return notYetImplemented('cropAndResize');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: string): Tensor4D {\n    return notYetImplemented('depthToSpace');\n  }\n\n  // Aligns with the \"SplitV\" kernel in TensorFlow.\n  split<T extends Tensor>(value: T, sizeSplits: number[], axis: number): T[] {\n    return notYetImplemented('split');\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    return notYetImplemented('sparseToDense');\n  }\n\n  diag(x: Tensor): Tensor {\n    return notYetImplemented('diag');\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    return notYetImplemented('fill');\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('onesLike');\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return notYetImplemented('zerosLike');\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return notYetImplemented('linspace');\n  }\n\n  dispose(): void {\n    return notYetImplemented('dispose');\n  }\n}\n\nfunction notYetImplemented(kernelName: string): never {\n  throw new Error(\n      `'${kernelName}' not yet implemented or not found in the registry. ` +\n      `Did you forget to import the kernel?`);\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../util';\n\ntype PadType = 'SAME'|'VALID'|'NUMBER';\n\nexport type PadInfo = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  type: PadType\n};\n\nexport type PadInfo3D = {\n  top: number,\n  left: number,\n  right: number,\n  bottom: number,\n  front: number,\n  back: number,\n  type: PadType\n};\n\n/**\n * Information about the forward pass of a convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv2DInfo = {\n  batchSize: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideHeight: number,\n  strideWidth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo,\n  inShape: [number, number, number, number],\n  outShape: [number, number, number, number],\n  filterShape: [number, number, number, number]\n};\n\nexport function computePool2DInfo(\n    inShape: [number, number, number, number],\n    filterSize: [number, number]|number, strides: number|[number, number],\n    dilations: number|[number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  const [filterHeight, filterWidth] = parseTupleParam(filterSize);\n\n  let filterShape: [number, number, number, number];\n  if (dataFormat === 'channelsLast') {\n    filterShape = [filterHeight, filterWidth, inShape[3], inShape[3]];\n  } else if (dataFormat === 'channelsFirst') {\n    filterShape = [filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv2DInfo(\n      inShape, filterShape, strides, dilations, pad, roundingMode, false,\n      dataFormat);\n}\n\n/**\n * Computes the information for a forward pass of a pooling3D operation.\n */\nexport function computePool3DInfo(\n    inShape: [number, number, number, number, number],\n    filterSize: number|[number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    roundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC'): Conv3DInfo {\n  const [filterDepth, filterHeight, filterWidth] = parse3TupleParam(filterSize);\n\n  let filterShape: [number, number, number, number, number];\n  let $dataFormat: 'channelsFirst'|'channelsLast';\n  if (dataFormat === 'NDHWC') {\n    $dataFormat = 'channelsLast';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[4], inShape[4]];\n  } else if (dataFormat === 'NCDHW') {\n    $dataFormat = 'channelsFirst';\n    filterShape =\n        [filterDepth, filterHeight, filterWidth, inShape[1], inShape[1]];\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  return computeConv3DInfo(\n      inShape, filterShape, strides, dilations, pad, false, $dataFormat,\n      roundingMode);\n}\n\n/**\n * Computes the information for a forward pass of a convolution/pooling\n * operation.\n */\nexport function computeConv2DInfo(\n    inShape: [number, number, number, number],\n    filterShape: [number, number, number, number],\n    strides: number|[number, number], dilations: number|[number, number],\n    pad: 'same'|'valid'|number, roundingMode?: 'floor'|'round'|'ceil',\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast'): Conv2DInfo {\n  let [batchSize, inHeight, inWidth, inChannels] = [-1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterHeight, filterWidth, , filterChannels] = filterShape;\n  const [strideHeight, strideWidth] = parseTupleParam(strides);\n  const [dilationHeight, dilationWidth] = parseTupleParam(dilations);\n\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outHeight, outWidth} = getPadAndOutInfo(\n      pad, inHeight, inWidth, strideHeight, strideWidth, effectiveFilterHeight,\n      effectiveFilterWidth, roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inHeight,\n    inWidth,\n    inChannels,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideHeight,\n    strideWidth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\n/**\n * Information about the forward pass of a 3D convolution/pooling operation.\n * It includes input and output shape, strides, filter size and padding\n * information.\n */\nexport type Conv3DInfo = {\n  batchSize: number,\n  inDepth: number,\n  inHeight: number,\n  inWidth: number,\n  inChannels: number,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number,\n  outChannels: number,\n  dataFormat: 'channelsFirst'|'channelsLast',\n  strideDepth: number,\n  strideHeight: number,\n  strideWidth: number,\n  dilationDepth: number,\n  dilationHeight: number,\n  dilationWidth: number,\n  filterDepth: number,\n  filterHeight: number,\n  filterWidth: number,\n  effectiveFilterDepth: number,\n  effectiveFilterHeight: number,\n  effectiveFilterWidth: number,\n  padInfo: PadInfo3D,\n  inShape: [number, number, number, number, number],\n  outShape: [number, number, number, number, number],\n  filterShape: [number, number, number, number, number]\n};\n\n/**\n * Computes the information for a forward pass of a 3D convolution/pooling\n * operation.\n */\nexport function computeConv3DInfo(\n    inShape: [number, number, number, number, number],\n    filterShape: [number, number, number, number, number],\n    strides: number|[number, number, number],\n    dilations: number|[number, number, number], pad: 'same'|'valid'|number,\n    depthwise = false,\n    dataFormat: 'channelsFirst'|'channelsLast' = 'channelsLast',\n    roundingMode?: 'floor'|'round'|'ceil'): Conv3DInfo {\n  let [batchSize, inDepth, inHeight, inWidth, inChannels] =\n      [-1, -1, -1, -1, -1];\n  if (dataFormat === 'channelsLast') {\n    [batchSize, inDepth, inHeight, inWidth, inChannels] = inShape;\n  } else if (dataFormat === 'channelsFirst') {\n    [batchSize, inChannels, inDepth, inHeight, inWidth] = inShape;\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n\n  const [filterDepth, filterHeight, filterWidth, , filterChannels] =\n      filterShape;\n  const [strideDepth, strideHeight, strideWidth] = parse3TupleParam(strides);\n  const [dilationDepth, dilationHeight, dilationWidth] =\n      parse3TupleParam(dilations);\n\n  const effectiveFilterDepth =\n      getEffectiveFilterSize(filterDepth, dilationDepth);\n  const effectiveFilterHeight =\n      getEffectiveFilterSize(filterHeight, dilationHeight);\n  const effectiveFilterWidth =\n      getEffectiveFilterSize(filterWidth, dilationWidth);\n  const {padInfo, outDepth, outHeight, outWidth} = get3DPadAndOutInfo(\n      pad, inDepth, inHeight, inWidth, strideDepth, strideHeight, strideWidth,\n      effectiveFilterDepth, effectiveFilterHeight, effectiveFilterWidth,\n      roundingMode);\n\n  const outChannels = depthwise ? filterChannels * inChannels : filterChannels;\n\n  let outShape: [number, number, number, number, number];\n  if (dataFormat === 'channelsFirst') {\n    outShape = [batchSize, outChannels, outDepth, outHeight, outWidth];\n  } else if (dataFormat === 'channelsLast') {\n    outShape = [batchSize, outDepth, outHeight, outWidth, outChannels];\n  }\n\n  return {\n    batchSize,\n    dataFormat,\n    inDepth,\n    inHeight,\n    inWidth,\n    inChannels,\n    outDepth,\n    outHeight,\n    outWidth,\n    outChannels,\n    padInfo,\n    strideDepth,\n    strideHeight,\n    strideWidth,\n    filterDepth,\n    filterHeight,\n    filterWidth,\n    effectiveFilterDepth,\n    effectiveFilterHeight,\n    effectiveFilterWidth,\n    dilationDepth,\n    dilationHeight,\n    dilationWidth,\n    inShape,\n    outShape,\n    filterShape\n  };\n}\n\nfunction computeOutputShape2D(\n    inShape: [number, number], fieldSize: number, stride: number,\n    zeroPad?: number, roundingMode?: 'floor'|'round'|'ceil'): [number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputRows = inShape[0];\n  const inputCols = inShape[1];\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputRows, outputCols];\n}\n\nfunction computeOutputShape4D(\n    inShape: [number, number, number, number], fieldSize: number,\n    outChannels: number, stride: number, zeroPad?: number,\n    roundingMode?: 'floor'|'round'|'ceil'): [number, number, number, number] {\n  if (zeroPad == null) {\n    zeroPad = computeDefaultPad(inShape, fieldSize, stride);\n  }\n  const inputDepth = inShape[0];\n  const inputRows = inShape[1];\n  const inputCols = inShape[2];\n\n  const outputDepths = conditionalRound(\n      (inputDepth - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputDepths),\n      () => `The output # of depths (${outputDepths}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputRows = conditionalRound(\n      (inputRows - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputRows),\n      () => `The output # of rows (${outputRows}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  const outputCols = conditionalRound(\n      (inputCols - fieldSize + 2 * zeroPad) / stride + 1, roundingMode);\n  util.assert(\n      util.isInt(outputCols),\n      () => `The output # of columns (${outputCols}) must be an integer. ` +\n          `Change the stride and/or zero pad parameters`);\n\n  return [outputDepths, outputRows, outputCols, outChannels];\n}\n\nexport function computeDefaultPad(\n    inputShape: [number, number]|[number, number, number, number],\n    fieldSize: number, stride: number, dilation = 1): number {\n  const effectiveFieldSize = getEffectiveFilterSize(fieldSize, dilation);\n  return Math.floor(\n      (inputShape[0] * (stride - 1) - stride + effectiveFieldSize) / 2);\n}\n\nfunction parseTupleParam(param: number|number[]): [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param as [number, number, number];\n}\n\nfunction parse3TupleParam(param: number|[number, number, number]):\n    [number, number, number] {\n  return typeof param === 'number' ? [param, param, param] : param;\n}\n\n/* See https://www.tensorflow.org/api_docs/python/tf/nn/atrous_conv2d\n * Atrous convolution is equivalent to standard convolution with upsampled\n * filters with effective_filter_height =\n * filter_height + (filter_height - 1) * (dilation - 1)\n * and effective_filter_width =\n * filter_width + (filter_width - 1) * (dilation - 1),\n * produced by inserting dilation - 1 zeros along consecutive elements across\n * the filters' spatial dimensions.\n * When there is a dilation, this converts a filter dimension to the\n * effective filter dimension, so it can be used in a standard convolution.\n */\nfunction getEffectiveFilterSize(filterSize: number, dilation: number) {\n  if (dilation <= 1) {\n    return filterSize;\n  }\n\n  return filterSize + (filterSize - 1) * (dilation - 1);\n}\n\nfunction getPadAndOutInfo(\n    pad: 'same'|'valid'|number, inHeight: number, inWidth: number,\n    strideHeight: number, strideWidth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'):\n    {padInfo: PadInfo, outHeight: number, outWidth: number} {\n  let padInfo: PadInfo;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {top: pad, bottom: pad, left: pad, right: pad, type: padType};\n    const outShape = computeOutputShape2D(\n        [inHeight, inWidth], filterHeight, strideHeight, pad, roundingMode);\n    outHeight = outShape[0];\n    outWidth = outShape[1];\n  } else if (pad === 'same') {\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongHeight =\n        Math.max(0, (outHeight - 1) * strideHeight + filterHeight - inHeight);\n    const padAlongWidth =\n        Math.max(0, (outWidth - 1) * strideWidth + filterWidth - inWidth);\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n    padInfo = {top, bottom, left, right, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {top: 0, bottom: 0, left: 0, right: 0, type: 'VALID'};\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outHeight, outWidth};\n}\n\nfunction get3DPadAndOutInfo(\n    pad: 'same'|'valid'|number, inDepth: number, inHeight: number,\n    inWidth: number, strideDepth: number, strideHeight: number,\n    strideWidth: number, filterDepth: number, filterHeight: number,\n    filterWidth: number, roundingMode?: 'floor'|'round'|'ceil'): {\n  padInfo: PadInfo3D,\n  outDepth: number,\n  outHeight: number,\n  outWidth: number\n} {\n  let padInfo: PadInfo3D;\n  let outDepth: number;\n  let outHeight: number;\n  let outWidth: number;\n\n  if (typeof pad === 'number') {\n    const padType = (pad === 0) ? 'VALID' : 'NUMBER';\n    padInfo = {\n      top: pad,\n      bottom: pad,\n      left: pad,\n      right: pad,\n      front: pad,\n      back: pad,\n      type: padType\n    };\n    const outShape = computeOutputShape4D(\n        [inDepth, inHeight, inWidth, 1], filterDepth, 1, strideDepth, pad,\n        roundingMode);\n    outDepth = outShape[0];\n    outHeight = outShape[1];\n    outWidth = outShape[2];\n  } else if (pad === 'same') {\n    outDepth = Math.ceil(inDepth / strideDepth);\n    outHeight = Math.ceil(inHeight / strideHeight);\n    outWidth = Math.ceil(inWidth / strideWidth);\n    const padAlongDepth = (outDepth - 1) * strideDepth + filterDepth - inDepth;\n    const padAlongHeight =\n        (outHeight - 1) * strideHeight + filterHeight - inHeight;\n    const padAlongWidth = (outWidth - 1) * strideWidth + filterWidth - inWidth;\n    const front = Math.floor(padAlongDepth / 2);\n    const back = padAlongDepth - front;\n    const top = Math.floor(padAlongHeight / 2);\n    const bottom = padAlongHeight - top;\n    const left = Math.floor(padAlongWidth / 2);\n    const right = padAlongWidth - left;\n\n    padInfo = {top, bottom, left, right, front, back, type: 'SAME'};\n  } else if (pad === 'valid') {\n    padInfo = {\n      top: 0,\n      bottom: 0,\n      left: 0,\n      right: 0,\n      front: 0,\n      back: 0,\n      type: 'VALID'\n    };\n    outDepth = Math.ceil((inDepth - filterDepth + 1) / strideDepth);\n    outHeight = Math.ceil((inHeight - filterHeight + 1) / strideHeight);\n    outWidth = Math.ceil((inWidth - filterWidth + 1) / strideWidth);\n  } else {\n    throw Error(`Unknown padding parameter: ${pad}`);\n  }\n  return {padInfo, outDepth, outHeight, outWidth};\n}\n\n/**\n * Rounds a value depending on the rounding mode\n * @param value\n * @param roundingMode\n */\nfunction conditionalRound(\n    value: number, roundingMode?: 'floor'|'round'|'ceil') {\n  if (!roundingMode) {\n    return value;\n  }\n  switch (roundingMode) {\n    case 'round':\n      // used for Caffe Conv\n      return Math.round(value);\n    case 'ceil':\n      // used for Caffe Pool\n      return Math.ceil(value);\n    case 'floor':\n      return Math.floor(value);\n    default:\n      throw new Error(`Unknown roundingMode ${roundingMode}`);\n  }\n}\n\nexport function tupleValuesAreOne(param: number|number[]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nexport function eitherStridesOrDilationsAreOne(\n    strides: number|number[], dilations: number|number[]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\n/**\n * Convert Conv2D dataFormat from 'NHWC'|'NCHW' to\n *    'channelsLast'|'channelsFirst'\n * @param dataFormat in 'NHWC'|'NCHW' mode\n * @return dataFormat in 'channelsLast'|'channelsFirst' mode\n * @throws unknown dataFormat\n */\nexport function convertConv2DDataFormat(dataFormat: 'NHWC'|'NCHW'):\n    'channelsLast'|'channelsFirst' {\n  if (dataFormat === 'NHWC') {\n    return 'channelsLast';\n  } else if (dataFormat === 'NCHW') {\n    return 'channelsFirst';\n  } else {\n    throw new Error(`Unknown dataFormat ${dataFormat}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {scalar, tensor1d, zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {Rank} from '../types';\nimport {DataType, ShapeMap} from '../types';\nimport {hasEncodingLoss, makeZerosTypedArray} from '../util';\n\nimport {KernelBackend} from './backend';\n\n// Utilities needed by backend consumers of tf-core.\nexport * from '../ops/axis_util';\nexport * from '../ops/broadcast_util';\nexport * from '../ops/concat_util';\nexport * from '../ops/conv_util';\nexport {Activation, FusedConv2DConfig} from '../ops/fused_util';\nexport * from '../ops/reduce_util';\nexport {BackendValues, TypedArray, upcastType, PixelData} from '../types';\nexport {MemoryInfo, TimingInfo} from '../engine';\n\nexport function castTensor<T extends Tensor>(\n    x: T, dtype: DataType, backend: KernelBackend): T {\n  if (dtype === 'complex64') {\n    if (x.dtype === 'complex64') {\n      return x.clone();\n    }\n    const zerosTensor = zeros(x.shape);\n    const floatX = x.toFloat();\n    const result = backend.complex(floatX, zerosTensor);\n    zerosTensor.dispose();\n    floatX.dispose();\n    return result as T;\n  }\n\n  if (!hasEncodingLoss(x.dtype, dtype)) {\n    // We don't change the underlying data, since we cast to higher\n    // precision.\n    return ENGINE.makeTensorFromDataId(x.dataId, x.shape, dtype) as T;\n  }\n  if (x.dtype === 'complex64') {\n    const real = backend.real(x);\n    const result = real.cast(dtype);\n    real.dispose();\n    return result;\n  }\n  if (dtype === 'int32') {\n    return backend.int(x);\n  } else if (dtype === 'bool') {\n    const zero = scalar(0, x.dtype);\n    const result = backend.notEqual(x, zero) as T;\n    zero.dispose();\n    return result;\n  } else {\n    throw new Error(`Error in Cast: failed to cast ${x.dtype} to ${dtype}`);\n  }\n}\n\nexport function reshapeTensor<T extends Tensor, R extends Rank>(\n    x: T, shape: ShapeMap[R]): Tensor<R> {\n  return ENGINE.makeTensorFromDataId(x.dataId, shape, x.dtype) as Tensor<R>;\n}\n\nexport function linspaceImpl(start: number, stop: number, num: number) {\n  const step = (stop - start) / (num - 1);\n\n  const values = makeZerosTypedArray(num, 'float32');\n  values[0] = start;\n  for (let i = 1; i < values.length; i++) {\n    values[i] = values[i - 1] + step;\n  }\n\n  return tensor1d(values, 'float32');\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../types';\n/**\n * Merges real and imaginary Float32Arrays into a single complex Float32Array.\n *\n * The memory layout is interleaved as follows:\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n * complex: [r0, i0, r1, i1, r2, i2]\n *\n * This is the inverse of splitRealAndImagArrays.\n *\n * @param real The real values of the complex tensor values.\n * @param imag The imag values of the complex tensor values.\n * @returns A complex tensor as a Float32Array with merged values.\n */\nexport function mergeRealAndImagArrays(\n    real: Float32Array, imag: Float32Array): Float32Array {\n  if (real.length !== imag.length) {\n    throw new Error(\n        `Cannot merge real and imag arrays of different lengths. real:` +\n        `${real.length}, imag: ${imag.length}.`);\n  }\n  const result = new Float32Array(real.length * 2);\n  for (let i = 0; i < result.length; i += 2) {\n    result[i] = real[i / 2];\n    result[i + 1] = imag[i / 2];\n  }\n  return result;\n}\n\n/**\n * Splits a complex Float32Array into real and imag parts.\n *\n * The memory layout is interleaved as follows:\n * complex: [r0, i0, r1, i1, r2, i2]\n * real: [r0, r1, r2]\n * imag: [i0, i1, i2]\n *\n * This is the inverse of mergeRealAndImagArrays.\n *\n * @param complex The complex tensor values.\n * @returns An object with real and imag Float32Array components of the complex\n *     tensor.\n */\nexport function splitRealAndImagArrays(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(complex.length / 2);\n  const imag = new Float32Array(complex.length / 2);\n  for (let i = 0; i < complex.length; i += 2) {\n    real[i / 2] = complex[i];\n    imag[i / 2] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts even indexed complex values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithEvenIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.ceil(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 0; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Extracts odd indexed comple values in the given array.\n * @param complex The complex tensor values\n */\nexport function complexWithOddIndex(complex: Float32Array):\n    {real: Float32Array, imag: Float32Array} {\n  const len = Math.floor(complex.length / 4);\n  const real = new Float32Array(len);\n  const imag = new Float32Array(len);\n  for (let i = 2; i < complex.length; i += 4) {\n    real[Math.floor(i / 4)] = complex[i];\n    imag[Math.floor(i / 4)] = complex[i + 1];\n  }\n  return {real, imag};\n}\n\n/**\n * Get the map representing a complex value in the given array.\n * @param complex The complex tensor values.\n * @param index An index of the target complex value.\n */\nexport function getComplexWithIndex(\n    complex: Float32Array, index: number): {real: number, imag: number} {\n  const real = complex[index * 2];\n  const imag = complex[index * 2 + 1];\n  return {real, imag};\n}\n\n/**\n * Insert a given complex value into the TypedArray.\n * @param data The array in which the complex value is inserted.\n * @param c The complex value to be inserted.\n * @param index An index of the target complex value.\n */\nexport function assignToTypedArray(\n    data: TypedArray, real: number, imag: number, index: number) {\n  data[index * 2] = real;\n  data[index * 2 + 1] = imag;\n}\n\n/**\n * Make the list of exponent terms used by FFT.\n */\nexport function exponents(\n    n: number, inverse: boolean): {real: Float32Array, imag: Float32Array} {\n  const real = new Float32Array(n / 2);\n  const imag = new Float32Array(n / 2);\n  for (let i = 0; i < Math.ceil(n / 2); i++) {\n    const x = (inverse ? 2 : -2) * Math.PI * (i / n);\n    real[i] = Math.cos(x);\n    imag[i] = Math.sin(x);\n  }\n  return {real, imag};\n}\n\n/**\n * Make the exponent term used by FFT.\n */\nexport function exponent(\n    k: number, n: number, inverse: boolean): {real: number, imag: number} {\n  const x = (inverse ? 2 : -2) * Math.PI * (k / n);\n  const real = Math.cos(x);\n  const imag = Math.sin(x);\n  return {real, imag};\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Inserts a value into a sorted array. This method allows duplicate, meaning it\n * allows inserting duplicate value, in which case, the element will be inserted\n * at the lowest index of the value.\n * @param arr The array to modify.\n * @param element The element to insert.\n * @param comparator Optional. If no comparator is specified, elements are\n * compared using array_util.defaultComparator, which is suitable for Strings\n * and Numbers in ascending arrays. If the array contains multiple instances of\n * the target value, the left-most instance will be returned. To provide a\n * comparator, it should take 2 arguments to compare and return a negative,\n * zero, or a positive number.\n */\nexport function binaryInsert<T>(\n    arr: T[], element: T, comparator?: (a: T, b: T) => number) {\n  const index = binarySearch(arr, element, comparator);\n  const insertionPoint = index < 0 ? -(index + 1) : index;\n  arr.splice(insertionPoint, 0, element);\n}\n\n/**\n * Searches the array for the target using binary search, returns the index\n * of the found element, or position to insert if element not found. If no\n * comparator is specified, elements are compared using array_\n * util.defaultComparator, which is suitable for Strings and Numbers in\n * ascending arrays. If the array contains multiple instances of the target\n * value, the left-most instance will be returned.\n * @param arr The array to be searched in.\n * @param target The target to be searched for.\n * @param comparator Should take 2 arguments to compare and return a negative,\n *    zero, or a positive number.\n * @return Lowest index of the target value if found, otherwise the insertion\n *    point where the target should be inserted, in the form of\n *    (-insertionPoint - 1).\n */\nexport function binarySearch<T>(\n    arr: T[], target: T, comparator?: (a: T, b: T) => number) {\n  return binarySearch_(arr, target, comparator || defaultComparator);\n}\n\n/**\n * Compares its two arguments for order.\n * @param a The first element to be compared.\n * @param b The second element to be compared.\n * @return A negative number, zero, or a positive number as the first\n *     argument is less than, equal to, or greater than the second.\n */\nfunction defaultComparator<T>(a: T, b: T): number {\n  return a > b ? 1 : a < b ? -1 : 0;\n}\n\nfunction binarySearch_<T>(\n    arr: T[], target: T, comparator: (a: T, b: T) => number) {\n  let left = 0;\n  let right = arr.length;\n  let middle = 0;\n  let found = false;\n  while (left < right) {\n    middle = left + ((right - left) >>> 1);\n    const compareResult = comparator(target, arr[middle]);\n    if (compareResult > 0) {\n      left = middle + 1;\n    } else {\n      right = middle;\n      // If compareResult is 0, the value is found. We record it is found,\n      // and then keep looking because there may be duplicate.\n      found = !compareResult;\n    }\n  }\n\n  return found ? left : -left - 1;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Implementation of the NonMaxSuppression kernel shared between webgl and cpu.\n */\n\nimport {scalar, tensor1d} from '../ops/tensor_ops';\nimport {Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\n\nimport {binaryInsert} from './array_util';\n\ninterface Candidate {\n  score: number;\n  boxIndex: number;\n  suppressBeginIndex: number;\n}\n\nexport function nonMaxSuppressionV3(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number): Tensor1D {\n  const dummySoftNmsSigma = 0.0;\n\n  return nonMaxSuppressionImpl_(\n             boxes, scores, maxOutputSize, iouThreshold, scoreThreshold,\n             dummySoftNmsSigma)\n             .selectedIndices as Tensor1D;\n}\n\nexport function nonMaxSuppressionV5(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number,\n    softNmsSigma: number): NamedTensorMap {\n  // For NonMaxSuppressionV5Op, we always return a second output holding\n  // corresponding scores.\n  const returnScoresTensor = true;\n\n  const result = nonMaxSuppressionImpl_(\n      boxes, scores, maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma,\n      returnScoresTensor);\n\n  result.numValidOutputs.dispose();\n\n  return {\n    selectedIndices: result.selectedIndices,\n    selectedScores: result.selectedScores\n  };\n}\n\nfunction nonMaxSuppressionImpl_(\n    boxes: TypedArray, scores: TypedArray, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma: number,\n    returnScoresTensor = false, padToMaxOutputSize = false): NamedTensorMap {\n  // The list is sorted in ascending order, so that we can always pop the\n  // candidate with the largest score in O(1) time.\n  const candidates =\n      Array.from(scores)\n          .map((score, boxIndex) => ({score, boxIndex, suppressBeginIndex: 0}))\n          .filter(c => c.score > scoreThreshold)\n          .sort(ascendingComparator);\n\n  // If softNmsSigma is 0, the outcome of this algorithm is exactly same as\n  // before.\n  const scale = softNmsSigma > 0 ? (-0.5 / softNmsSigma) : 0.0;\n\n  const selectedIndices: number[] = [];\n  const selectedScores: number[] = [];\n\n  while (selectedIndices.length < maxOutputSize && candidates.length > 0) {\n    const candidate = candidates.pop();\n    const {score: originalScore, boxIndex, suppressBeginIndex} = candidate;\n\n    if (originalScore < scoreThreshold) {\n      break;\n    }\n\n    // Overlapping boxes are likely to have similar scores, therefore we\n    // iterate through the previously selected boxes backwards in order to\n    // see if candidate's score should be suppressed. We use\n    // suppressBeginIndex to track and ensure a candidate can be suppressed\n    // by a selected box no more than once. Also, if the overlap exceeds\n    // iouThreshold, we simply ignore the candidate.\n    let ignoreCandidate = false;\n    for (let j = selectedIndices.length - 1; j >= suppressBeginIndex; --j) {\n      const iou = intersectionOverUnion(boxes, boxIndex, selectedIndices[j]);\n\n      if (iou >= iouThreshold) {\n        ignoreCandidate = true;\n        break;\n      }\n\n      candidate.score =\n          candidate.score * suppressWeight(iouThreshold, scale, iou);\n\n      if (candidate.score <= scoreThreshold) {\n        break;\n      }\n    }\n\n    // At this point, if `candidate.score` has not dropped below\n    // `scoreThreshold`, then we know that we went through all of the\n    // previous selections and can safely update `suppressBeginIndex` to the\n    // end of the selected array. Then we can re-insert the candidate with\n    // the updated score and suppressBeginIndex back in the candidate list.\n    // If on the other hand, `candidate.score` has dropped below the score\n    // threshold, we will not add it back to the candidates list.\n    candidate.suppressBeginIndex = selectedIndices.length;\n\n    if (!ignoreCandidate) {\n      // Candidate has passed all the tests, and is not suppressed, so\n      // select the candidate.\n      if (candidate.score === originalScore) {\n        selectedIndices.push(boxIndex);\n        selectedScores.push(candidate.score);\n      } else if (candidate.score > scoreThreshold) {\n        // Candidate's score is suppressed but is still high enough to be\n        // considered, so add back to the candidates list.\n        binaryInsert(candidates, candidate, ascendingComparator);\n      }\n    }\n  }\n\n  // NonMaxSuppressionV4 feature: padding output to maxOutputSize.\n  const numValidOutputs = selectedIndices.length;\n  if (padToMaxOutputSize) {\n    selectedIndices.fill(0, numValidOutputs);\n    selectedScores.fill(0.0, numValidOutputs);\n  }\n\n  return {\n    selectedIndices: tensor1d(selectedIndices, 'int32'),\n    selectedScores: tensor1d(selectedScores, 'float32'),\n    numValidOutputs: scalar(numValidOutputs, 'int32')\n  };\n}\n\nfunction intersectionOverUnion(boxes: TypedArray, i: number, j: number) {\n  const iCoord = boxes.subarray(i * 4, i * 4 + 4);\n  const jCoord = boxes.subarray(j * 4, j * 4 + 4);\n  const yminI = Math.min(iCoord[0], iCoord[2]);\n  const xminI = Math.min(iCoord[1], iCoord[3]);\n  const ymaxI = Math.max(iCoord[0], iCoord[2]);\n  const xmaxI = Math.max(iCoord[1], iCoord[3]);\n  const yminJ = Math.min(jCoord[0], jCoord[2]);\n  const xminJ = Math.min(jCoord[1], jCoord[3]);\n  const ymaxJ = Math.max(jCoord[0], jCoord[2]);\n  const xmaxJ = Math.max(jCoord[1], jCoord[3]);\n  const areaI = (ymaxI - yminI) * (xmaxI - xminI);\n  const areaJ = (ymaxJ - yminJ) * (xmaxJ - xminJ);\n  if (areaI <= 0 || areaJ <= 0) {\n    return 0.0;\n  }\n  const intersectionYmin = Math.max(yminI, yminJ);\n  const intersectionXmin = Math.max(xminI, xminJ);\n  const intersectionYmax = Math.min(ymaxI, ymaxJ);\n  const intersectionXmax = Math.min(xmaxI, xmaxJ);\n  const intersectionArea = Math.max(intersectionYmax - intersectionYmin, 0.0) *\n      Math.max(intersectionXmax - intersectionXmin, 0.0);\n  return intersectionArea / (areaI + areaJ - intersectionArea);\n}\n\n// A Gaussian penalty function, this method always returns values in [0, 1].\n// The weight is a function of similarity, the more overlap two boxes are, the\n// smaller the weight is, meaning highly overlapping boxe will be significantly\n// penalized. On the other hand, a non-overlapping box will not be penalized.\nfunction suppressWeight(iouThreshold: number, scale: number, iou: number) {\n  const weight = Math.exp(scale * iou * iou);\n  return iou <= iouThreshold ? weight : 0.0;\n}\n\nfunction ascendingComparator(c1: Candidate, c2: Candidate) {\n  // For objects with same scores, we make the object with the larger index go\n  // first. In an array that pops from the end, this means that the object with\n  // the smaller index will be popped first. This ensures the same output as\n  // the TensorFlow python version.\n  return (c1.score - c2.score) ||\n      ((c1.score === c2.score) && (c2.boxIndex - c1.boxIndex));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\n\n/** Shared implementation of the split kernel across WebGL and CPU. */\nexport function split<T extends Tensor>(\n    x: T, sizeSplits: number[], axis: number): T[] {\n  const begin = new Array(x.rank).fill(0);\n  const size = x.shape.slice();\n  return sizeSplits.map(s => {\n    size[axis] = s;\n    const slice = x.slice(begin, size);\n    begin[axis] += s;\n    return slice;\n  });\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * An implementation of the tile kernel shared between webgl and cpu for string\n * tensors only.\n */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor, TensorBuffer} from '../tensor';\nimport {DataType, Rank} from '../types';\n\nexport function tile<R extends Rank>(\n    xBuf: TensorBuffer<R, DataType>, reps: number[]): Tensor<R> {\n  const newShape: number[] = new Array(xBuf.rank);\n  for (let i = 0; i < newShape.length; i++) {\n    newShape[i] = xBuf.shape[i] * reps[i];\n  }\n  const result = buffer(newShape, xBuf.dtype);\n  for (let i = 0; i < result.values.length; ++i) {\n    const newLoc = result.indexToLoc(i);\n\n    const originalLoc: number[] = new Array(xBuf.rank);\n    for (let j = 0; j < originalLoc.length; j++) {\n      originalLoc[j] = newLoc[j] % xBuf.shape[j];\n    }\n\n    const originalIndex = xBuf.locToIndex(originalLoc);\n\n    result.values[i] = xBuf.values[originalIndex];\n  }\n  return result.toTensor() as Tensor<R>;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the TopK kernel shared between webgl and cpu. */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\nimport {NumericDataType, TypedArray} from '../types';\nimport {getTypedArrayFromDType} from '../util';\n\nexport function topkImpl<T extends Tensor>(\n    x: TypedArray, xShape: number[], xDtype: NumericDataType, k: number,\n    sorted: boolean): [T, T] {\n  // Reshape into a 2d tensor [batch, lastDim] and compute topk along lastDim.\n  const lastDim = xShape[xShape.length - 1];\n  const [batch, size] = [x.length / lastDim, lastDim];\n  const allTopKVals = getTypedArrayFromDType(xDtype, batch * k);\n  const allTopKIndices = getTypedArrayFromDType('int32', batch * k);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = x.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    const outOffset = b * k;\n    const topKVals = allTopKVals.subarray(outOffset, outOffset + k);\n    const topKIndices = allTopKIndices.subarray(outOffset, outOffset + k);\n    for (let i = 0; i < k; i++) {\n      topKVals[i] = valAndInd[i].value;\n      topKIndices[i] = valAndInd[i].index;\n    }\n  }\n  // Reshape back to the original input shape, except that the last\n  // dimension is k.\n  const outputShape = xShape.slice();\n  outputShape[outputShape.length - 1] = k;\n  return [\n    tensor(allTopKVals, outputShape, xDtype) as T,\n    tensor(allTopKIndices, outputShape, 'int32') as T\n  ];\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/** An implementation of the Where kernel shared between cpu and webgl */\n\nimport {buffer} from '../ops/array_ops';\nimport {Tensor2D} from '../tensor';\nimport {TypedArray} from '../types';\n\nexport function whereImpl(condShape: number[], condVals: TypedArray): Tensor2D {\n  const indices = [];\n  for (let i = 0; i < condVals.length; i++) {\n    if (condVals[i]) {\n      indices.push(i);\n    }\n  }\n\n  const inBuffer = buffer(condShape, 'int32');\n\n  const out = buffer([indices.length, condShape.length], 'int32');\n  for (let i = 0; i < indices.length; i++) {\n    const loc = inBuffer.indexToLoc(indices[i]);\n    const offset = i * condShape.length;\n    out.values.set(loc, offset);\n  }\n  return out.toTensor() as Tensor2D;\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`float v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        float result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AddNPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(outputShape: number[], shapes: number[][]) {\n    this.outputShape = outputShape;\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const snippets: string[] = [];\n    // Get target elements from every input tensor.\n    this.variableNames.forEach(variable => {\n      snippets.push(`vec4 v${variable} = get${variable}AtOutCoords();`);\n    });\n\n    // Calculate the sum of all elements.\n    const operation = this.variableNames\n                          .map(variable => {\n                            return `v${variable}`;\n                          })\n                          .join(' + ');\n\n    this.userCode = `\n      void main() {\n        ${snippets.join('\\n        ')}\n\n        vec4 result = ${operation};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ArgMinMaxProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(reduceInfo: ReduceInfo, op: 'max'|'min', firstPass: boolean) {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    this.outputShape = [batchSize, outSize];\n    const compOp = (op === 'max') ? '>' : '<';\n    const indexSnippet = firstPass ?\n        'inOffset + i;' :\n        'round(getBestIndicesA(batch, inOffset + i));';\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          int inIdx = ${indexSnippet};\n          float candidate = getA(batch, inIdx);\n          if (candidate ${compOp} bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport function getVecChannels(name: string, rank: number): string[] {\n  return ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank).map(d => `${name}.${d}`);\n}\n\nexport function getChannels(name: string, rank: number): string[] {\n  if (rank === 1) {\n    return [name];\n  }\n  return getVecChannels(name, rank);\n}\n\nexport function getSourceCoords(rank: number, dims: string[]): string {\n  if (rank === 1) {\n    return 'rc';\n  }\n\n  let coords = '';\n  for (let i = 0; i < rank; i++) {\n    coords += dims[i];\n    if (i < rank - 1) {\n      coords += ',';\n    }\n  }\n  return coords;\n}","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../../environment';\n\nexport type GLSL = {\n  version: string,\n  attribute: string,\n  varyingVs: string,\n  varyingFs: string,\n  texture2D: string,\n  output: string,\n  defineOutput: string,\n  defineSpecialNaN: string,\n  defineSpecialInf: string,\n  defineRound: string\n};\n\nexport function getGlslDifferences(): GLSL {\n  let version: string;\n  let attribute: string;\n  let varyingVs: string;\n  let varyingFs: string;\n  let texture2D: string;\n  let output: string;\n  let defineOutput: string;\n  let defineSpecialNaN: string;\n  let defineSpecialInf: string;\n  let defineRound: string;\n\n  if (env().getNumber('WEBGL_VERSION') === 2) {\n    version = '#version 300 es';\n    attribute = 'in';\n    varyingVs = 'out';\n    varyingFs = 'in';\n    texture2D = 'texture';\n    output = 'outputColor';\n    defineOutput = 'out vec4 outputColor;';\n\n    // Use custom isnan definition to work across differences between\n    // implementations on various platforms. While this should happen in ANGLE\n    // we still see differences between android and windows (on chrome) when\n    // using isnan directly.\n    defineSpecialNaN = `\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    `;\n    // In webgl 2 we do not need to specify a custom isinf so there is no\n    // need for a special INFINITY constant.\n    defineSpecialInf = ``;\n    defineRound = `\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  } else {\n    version = '';\n    attribute = 'attribute';\n    varyingVs = 'varying';\n    varyingFs = 'varying';\n    texture2D = 'texture2D';\n    output = 'gl_FragColor';\n    defineOutput = '';\n    // WebGL1 has no built in isnan so we define one here.\n    defineSpecialNaN = `\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    `;\n    defineSpecialInf = `\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    `;\n    defineRound = `\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    `;\n  }\n\n  return {\n    version,\n    attribute,\n    varyingVs,\n    varyingFs,\n    texture2D,\n    output,\n    defineOutput,\n    defineSpecialNaN,\n    defineSpecialInf,\n    defineRound\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as util from '../../util';\n\n/**\n * Produces GLSL code that derives logical coordinates from a flat\n * index. The code performs integer division with each stride and decrements\n * the index until the index equals the final dimension coordinate.\n */\nexport function getLogicalCoordinatesFromFlatIndex(\n    coords: string[], shape: number[], index = 'index'): string {\n  const strides = util.computeStrides(shape);\n  return strides\n      .map((stride, i) => {\n        const line1 = `int ${coords[i]} = ${index} / ${stride}`;\n        const line2 = i === strides.length - 1 ?\n            `int ${coords[i + 1]} = ${index} - ${coords[i]} * ${stride}` :\n            `index -= ${coords[i]} * ${stride}`;\n        return `${line1}; ${line2};`;\n      })\n      .join('');\n}\n\nfunction buildVec(x: string[]): string {\n  if (x.length === 1) {\n    return `${x[0]}`;\n  }\n  return `vec${x.length}(${x.join(',')})`;\n}\n\n/**\n * Produces GLSL code that computes the dot product of the input x and y\n * vectors. Handles splitting inputs into increments of vec4s when necessary.\n */\nexport function dotify(x: string[], y: string[]): string {\n  if (x.length !== y.length) {\n    throw new Error(\n        `Vectors to be dotted must be of the same length -` +\n        `got ${x.length} and ${y.length}`);\n  }\n\n  const slices: string[] = [];\n  const nearestVec4 = Math.floor(x.length / 4);\n  const nearestVec4Remainder = x.length % 4;\n\n  for (let i = 0; i < nearestVec4; i++) {\n    const xSlice = x.slice(i * 4, i * 4 + 4);\n    const ySlice = y.slice(i * 4, i * 4 + 4);\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  if (nearestVec4Remainder !== 0) {\n    let xSlice = x.slice(nearestVec4 * 4);\n    let ySlice = y.slice(nearestVec4 * 4);\n    if (xSlice.length === 1) {\n      xSlice = xSlice.map(d => `float(${d})`);\n      ySlice = ySlice.map(d => `float(${d})`);\n    }\n    slices.push(`${buildVec(xSlice)}, ${buildVec(ySlice)}`);\n  }\n\n  return slices.map((d, i) => `dot(${d})`).join('+');\n}\n\n/**\n * Produces GLSL that computes the flat index from 3D coordinates.\n */\nexport function getFlatIndexFrom3D(shape: [number, number, number]): string {\n  const strides = util.computeStrides(shape).map(d => d.toString());\n\n  return `\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * ${strides[0]} + coords.y * ${strides[1]} + coords.z;\n  }\n`;\n}\n\nexport const ENCODE_FLOAT_SNIPPET = `\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n`;","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getBroadcastDims} from '../../ops/broadcast_util';\nimport * as util from '../../util';\nimport {getGlslDifferences, GLSL} from './glsl_version';\nimport * as shader_util from './shader_compiler_util';\n\nexport type ShapeInfo = {\n  logicalShape: number[],\n  texShape: [number, number],\n  isUniform: boolean,\n  isPacked: boolean,\n  flatOffset: number\n};\n\nexport type InputInfo = {\n  name: string,\n  shapeInfo: ShapeInfo\n};\n\nexport function makeShader(\n    inputsInfo: InputInfo[], outputShape: ShapeInfo, userCode: string,\n    usesPackedTextures: boolean): string {\n  const prefixSnippets: string[] = [];\n  inputsInfo.forEach(x => {\n    const size = util.sizeFromShape(x.shapeInfo.logicalShape);\n\n    // Snippet when we decided to upload the values as uniform.\n    if (x.shapeInfo.isUniform) {\n      prefixSnippets.push(\n          `uniform float ${x.name}${size > 1 ? `[${size}]` : ''};`);\n    } else {\n      prefixSnippets.push(`uniform sampler2D ${x.name};`);\n      prefixSnippets.push(`uniform int offset${x.name};`);\n    }\n  });\n  const inputPrefixSnippet = prefixSnippets.join('\\n');\n\n  const inputSamplingSnippet =\n      inputsInfo\n          .map(x => getInputSamplingSnippet(x, outputShape, usesPackedTextures))\n          .join('\\n');\n  const outTexShape = outputShape.texShape;\n  const glsl = getGlslDifferences();\n  const floatTextureSampleSnippet = getFloatTextureSampleSnippet(glsl);\n  let outputSamplingSnippet: string;\n  let floatTextureSetOutputSnippet: string;\n  let shaderPrefix = getShaderPrefix(glsl);\n\n  if (outputShape.isPacked) {\n    outputSamplingSnippet =\n        getPackedOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRGBASnippet(glsl);\n  } else {\n    outputSamplingSnippet =\n        getOutputSamplingSnippet(outputShape.logicalShape, outTexShape);\n    floatTextureSetOutputSnippet = getFloatTextureSetRSnippet(glsl);\n  }\n\n  if (usesPackedTextures) {\n    shaderPrefix += SHADER_PACKED_PREFIX;\n  }\n\n  const source = [\n    shaderPrefix, floatTextureSampleSnippet, floatTextureSetOutputSnippet,\n    inputPrefixSnippet, outputSamplingSnippet, inputSamplingSnippet, userCode\n  ].join('\\n');\n  return source;\n}\n\nfunction getSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getSamplerScalar(inInfo);\n    case 1:\n      return getSampler1D(inInfo);\n    case 2:\n      return getSampler2D(inInfo);\n    case 3:\n      return getSampler3D(inInfo);\n    case 4:\n      return getSampler4D(inInfo);\n    case 5:\n      return getSampler5D(inInfo);\n    case 6:\n      return getSampler6D(inInfo);\n    default:\n      throw new Error(\n          `${shape.length}-D input sampling` +\n          ` is not yet supported`);\n  }\n}\n\nfunction getPackedSamplerFromInInfo(inInfo: InputInfo): string {\n  const shape = inInfo.shapeInfo.logicalShape;\n  switch (shape.length) {\n    case 0:\n      return getPackedSamplerScalar(inInfo);\n    case 1:\n      return getPackedSampler1D(inInfo);\n    case 2:\n      return getPackedSampler2D(inInfo);\n    case 3:\n      return getPackedSampler3D(inInfo);\n    default:\n      return getPackedSamplerND(inInfo);\n  }\n}\n\nfunction getInputSamplingSnippet(\n    inInfo: InputInfo, outShapeInfo: ShapeInfo,\n    usesPackedTextures = false): string {\n  let res = '';\n  if (usesPackedTextures) {\n    res += getPackedSamplerFromInInfo(inInfo);\n  } else {\n    res += getSamplerFromInInfo(inInfo);\n  }\n\n  const inShape = inInfo.shapeInfo.logicalShape;\n  const outShape = outShapeInfo.logicalShape;\n  if (inShape.length <= outShape.length) {\n    if (usesPackedTextures) {\n      res += getPackedSamplerAtOutputCoords(inInfo, outShapeInfo);\n    } else {\n      res += getSamplerAtOutputCoords(inInfo, outShapeInfo);\n    }\n  }\n  return res;\n}\n\nfunction getPackedOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutputPacked1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutputPacked2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutputPacked3DCoords(\n          outShape as [number, number, number], outTexShape);\n    default:\n      return getOutputPackedNDCoords(outShape, outTexShape);\n  }\n}\n\nfunction getOutputSamplingSnippet(\n    outShape: number[], outTexShape: [number, number]): string {\n  switch (outShape.length) {\n    case 0:\n      return getOutputScalarCoords();\n    case 1:\n      return getOutput1DCoords(outShape as [number], outTexShape);\n    case 2:\n      return getOutput2DCoords(outShape as [number, number], outTexShape);\n    case 3:\n      return getOutput3DCoords(\n          outShape as [number, number, number], outTexShape);\n    case 4:\n      return getOutput4DCoords(\n          outShape as [number, number, number, number], outTexShape);\n    case 5:\n      return getOutput5DCoords(\n          outShape as [number, number, number, number, number], outTexShape);\n    case 6:\n      return getOutput6DCoords(\n          outShape as [number, number, number, number, number, number],\n          outTexShape);\n    default:\n      throw new Error(\n          `${outShape.length}-D output sampling is not yet supported`);\n  }\n}\n\nfunction getFloatTextureSampleSnippet(glsl: GLSL): string {\n  return `\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return ${glsl.texture2D}(textureSampler, uv).r;\n    }\n  `;\n}\n\nfunction getFloatTextureSetRSnippet(glsl: GLSL): string {\n  return `\n    void setOutput(float val) {\n      ${glsl.output} = vec4(val, 0, 0, 0);\n    }\n  `;\n}\n\nfunction getFloatTextureSetRGBASnippet(glsl: GLSL): string {\n  return `\n    void setOutput(vec4 val) {\n      ${glsl.output} = val;\n    }\n  `;\n}\n\nfunction getShaderPrefix(glsl: GLSL): string {\n  const SHADER_PREFIX = `${glsl.version}\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    ${glsl.varyingFs} vec2 resultUV;\n    ${glsl.defineOutput}\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    ${glsl.defineSpecialNaN}\n    ${glsl.defineSpecialInf}\n    ${glsl.defineRound}\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    ${SAMPLE_1D_SNIPPET}\n    ${SAMPLE_2D_SNIPPET}\n    ${SAMPLE_3D_SNIPPET}\n  `;\n\n  return SHADER_PREFIX;\n}\n\nconst SAMPLE_1D_SNIPPET = `\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_2D_SNIPPET = `\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SAMPLE_3D_SNIPPET = `\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n`;\n\nconst SHADER_PACKED_PREFIX = `\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n`;\n\nfunction getOutputScalarCoords() {\n  return `\n    int getOutputCoords() {\n      return 0;\n    }\n  `;\n}\n\nfunction getOutputPacked1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (packedTexShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * ${packedTexShape[1]}.0);\n      }\n    `;\n  }\n\n  if (packedTexShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ${packedTexShape[0]}.0);\n      }\n    `;\n  }\n\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      return 2 * (resTexRC.x * ${packedTexShape[1]} + resTexRC.y);\n    }\n  `;\n}\n\nfunction getOutput1DCoords(\n    shape: [number], texShape: [number, number]): string {\n  if (texShape[0] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.x * ${texShape[1]}.0);\n      }\n    `;\n  }\n  if (texShape[1] === 1) {\n    return `\n      int getOutputCoords() {\n        return int(resultUV.y * ${texShape[0]}.0);\n      }\n    `;\n  }\n  return `\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      return resTexRC.x * ${texShape[1]} + resTexRC.y;\n    }\n  `;\n}\n\nfunction getOutputPacked3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texelsInLogicalRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = texelsInLogicalRow * Math.ceil(shape[1] / 2);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec3(b, r, c);\n    }\n  `;\n}\n\nfunction getOutput3DCoords(\n    shape: [number, number, number], texShape: [number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n\nfunction getOutputPackedNDCoords(\n    shape: number[], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  const texelsInLogicalRow = Math.ceil(shape[shape.length - 1] / 2);\n  const texelsInBatch =\n      texelsInLogicalRow * Math.ceil(shape[shape.length - 2] / 2);\n  let texelsInBatchN = texelsInBatch;\n  let batches = ``;\n  let coords = 'b, r, c';\n\n  for (let b = 2; b < shape.length - 1; b++) {\n    texelsInBatchN *= shape[shape.length - b - 1];\n    batches = `\n      int b${b} = index / ${texelsInBatchN};\n      index -= b${b} * ${texelsInBatchN};\n    ` + batches;\n    coords = `b${b}, ` + coords;\n  }\n\n  return `\n    ivec${shape.length} getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n\n      ${batches}\n\n      int b = index / ${texelsInBatch};\n      index -= b * ${texelsInBatch};\n\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec${shape.length}(${coords});\n    }\n  `;\n}\n\nfunction getOutput4DCoords(\n    shape: [number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2'], shape);\n\n  return `\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      ${coordsFromIndexSnippet}\n      return ivec4(r, c, d, d2);\n    }\n  `;\n}\n\nfunction getOutput5DCoords(\n    shape: [number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3'], shape);\n\n  return `\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(${texShape[0]},\n                             ${texShape[1]}));\n\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  `;\n}\n\nfunction getOutput6DCoords(\n    shape: [number, number, number, number, number, number],\n    texShape: [number, number]): string {\n  const coordsFromIndexSnippet = shader_util.getLogicalCoordinatesFromFlatIndex(\n      ['r', 'c', 'd', 'd2', 'd3', 'd4'], shape);\n\n  return `\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n\n      ${coordsFromIndexSnippet}\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  `;\n}\n\nfunction getOutputPacked2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2(${packedTexShape[0]}, ${\n        packedTexShape[1]}));\n      }\n    `;\n  }\n\n  // texels needed to accommodate a logical row\n  const texelsInLogicalRow = Math.ceil(shape[1] / 2);\n\n  /**\n   * getOutputCoords\n   *\n   * resTexRC: The rows and columns of the texels. If you move over one\n   * texel to the right in the packed texture, you are moving over one column\n   * (not two).\n   *\n   * index: The texel index\n   */\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${packedTexShape[0]}, ${packedTexShape[1]}));\n\n      int index = resTexRC.x * ${packedTexShape[1]} + resTexRC.y;\n      int r = 2 * (index / ${texelsInLogicalRow});\n      int c = imod(index, ${texelsInLogicalRow}) * 2;\n\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getOutput2DCoords(\n    shape: [number, number], texShape: [number, number]): string {\n  if (util.arraysEqual(shape, texShape)) {\n    return `\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(${texShape[0]}, ${texShape[1]}));\n      }\n    `;\n  }\n  if (shape[1] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    `;\n  }\n  if (shape[0] === 1) {\n    return `\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2(${texShape[0]}, ${texShape[1]}));\n        int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n        return ivec2(0, index);\n      }\n    `;\n  }\n  return `\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(${texShape[0]}, ${texShape[1]}));\n      int index = resTexRC.x * ${texShape[1]} + resTexRC.y;\n      int r = index / ${shape[1]};\n      int c = index - r * ${shape[1]};\n      return ivec2(r, c);\n    }\n  `;\n}\n\nfunction getFlatOffsetUniformName(texName: string): string {\n  return `offset${texName}`;\n}\n\nfunction getPackedSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}() {\n      return ${glsl.texture2D}(${texName}, halfCR);\n    }\n  `;\n}\n\nfunction getSamplerScalar(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  if (inputInfo.shapeInfo.isUniform) {\n    return `float ${funcName}() {return ${texName};}`;\n  }\n  const [texNumR, texNumC] = inputInfo.shapeInfo.texShape;\n  if (texNumR === 1 && texNumC === 1) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n\n  const [tNumR, tNumC] = inputInfo.shapeInfo.texShape;\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}() {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int index) {\n      vec2 uv = packedUVfrom1D(\n        ${packedTexShape[0]}, ${packedTexShape[1]}, index);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler1D(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int index) {\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const tNumR = texShape[0];\n  const tNumC = texShape[1];\n\n  if (tNumC === 1 && tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        return sampleTexture(${texName}, halfCR);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  if (tNumC === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2(0.5, (float(index + ${offset}) + 0.5) / ${tNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (tNumR === 1) {\n    return `\n      float ${funcName}(int index) {\n        vec2 uv = vec2((float(index + ${offset}) + 0.5) / ${tNumC}.0, 0.5);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  return `\n    float ${funcName}(int index) {\n      vec2 uv = uvFromFlat(${tNumR}, ${tNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getPackedSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const glsl = getGlslDifferences();\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    return `\n      vec4 ${funcName}(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n\n        return ${glsl.texture2D}(${texName}, uv);\n      }\n    `;\n  }\n\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const valuesPerRow = Math.ceil(shape[1] / 2);\n\n  return `\n    vec4 ${funcName}(int row, int col) {\n      vec2 uv = packedUVfrom2D(${valuesPerRow}, ${packedTexShape[0]}, ${\n      packedTexShape[1]}, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler2D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n\n  if (texShape != null && util.arraysEqual(shape, texShape)) {\n    const texNumR = texShape[0];\n    const texNumC = texShape[1];\n    return `\n    float ${funcName}(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(${shape[1]}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const offset = getFlatOffsetUniformName(texName);\n  if (texNumC === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n  if (texNumR === 1) {\n    // index is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col) {\n      float index = dot(vec3(row, col, ${offset}), vec3(${shape[1]}, 1, 1));\n      vec2 uv = vec2((index + 0.5) / ${texNumC}.0, 0.5);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  return `\n  float ${funcName}(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ${shape[1]} + col + ${offset};\n    vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n    return sampleTexture(${texName}, uv);\n  }\n`;\n}\n\nfunction getPackedSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n\n  if (shape[0] === 1) {\n    const squeezedShape = shape.slice(1);\n    const keptDims = [1, 2];\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['b', 'row', 'col'];\n    return `\n        ${getPackedSamplerFromInInfo(newInputInfo)}\n        vec4 ${funcName}(int b, int row, int col) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[2] / 2);\n  const texelsInBatch = valuesPerRow * Math.ceil(shape[1] / 2);\n  const glsl = getGlslDifferences();\n\n  return `\n    vec4 ${funcName}(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ${texNumR}, ${texNumC}, ${texelsInBatch}, ${valuesPerRow}, b, row, col);\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler3D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride0 = shape[1] * shape[2];\n  const stride1 = shape[2];\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  const squeezedShape = newShape;\n  if (squeezedShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, squeezedShape);\n    const params = ['row', 'col', 'depth'];\n    return `\n        ${getSamplerFromInInfo(newInputInfo)}\n        float ${funcName}(int row, int col, int depth) {\n          return ${funcName}(${getSqueezedParams(params, keptDims)});\n        }\n      `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(${stride0}, ${stride1}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n        float ${funcName}(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2(${stride1}, 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(${texNumC}.0, ${texNumR}.0);\n          return sampleTexture(${texName}, uv);\n        }\n      `;\n  }\n\n  if (texNumC === stride1 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n    float ${funcName}(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2(${shape[1]}, 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}.0, ${texNumR}.0);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n      float ${funcName}(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ${stride0} + col * ${stride1} + depth + ${offset};\n        vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n        return sampleTexture(${texName}, uv);\n      }\n  `;\n}\n\nfunction getPackedSamplerND(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const rank = shape.length;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const texShape = inputInfo.shapeInfo.texShape;\n  const packedTexShape =\n      [Math.ceil(texShape[0] / 2), Math.ceil(texShape[1] / 2)];\n  const texNumR = packedTexShape[0];\n  const texNumC = packedTexShape[1];\n\n  const valuesPerRow = Math.ceil(shape[rank - 1] / 2);\n  let texelsInBatch = valuesPerRow * Math.ceil(shape[rank - 2] / 2);\n  let params = `int b, int row, int col`;\n  let index = `b * ${texelsInBatch} + (row / 2) * ${valuesPerRow} + (col / 2)`;\n  for (let b = 2; b < rank - 1; b++) {\n    params = `int b${b}, ` + params;\n    texelsInBatch *= shape[rank - b - 1];\n    index = `b${b} * ${texelsInBatch} + ` + index;\n  }\n  const glsl = getGlslDifferences();\n  return `\n    vec4 ${funcName}(${params}) {\n      int index = ${index};\n      int texR = index / ${texNumC};\n      int texC = index - texR * ${texNumC};\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${texNumC}, ${texNumR});\n      return ${glsl.texture2D}(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler4D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride2 = shape[3];\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4(${stride0}, ${stride1}, ${stride2}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3(${stride1}, ${stride2}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride2 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3(${shape[1] * shape[2]}, ${shape[2]}, 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} +\n          depth * ${stride2} + depth2;\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index + ${offset});\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler5D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n  const stride3 = shape[4];\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          depth3;\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4(${stride1}, ${stride2}, ${stride3}, 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  if (texNumC === stride3 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3]},\n               ${shape[2] * shape[3]}, ${shape[3]}, 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getSampler6D(inputInfo: InputInfo): string {\n  const shape = inputInfo.shapeInfo.logicalShape;\n  const texName = inputInfo.name;\n  const funcName = 'get' + texName.charAt(0).toUpperCase() + texName.slice(1);\n\n  const {newShape, keptDims} = util.squeezeShape(shape);\n  if (newShape.length < shape.length) {\n    const newInputInfo = squeezeInputInfo(inputInfo, newShape);\n    const params = ['row', 'col', 'depth', 'depth2', 'depth3', 'depth4'];\n    return `\n      ${getSamplerFromInInfo(newInputInfo)}\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ${funcName}(${getSqueezedParams(params, keptDims)});\n      }\n    `;\n  }\n\n  const stride4 = shape[5];\n  const stride3 = shape[4] * stride4;\n  const stride2 = shape[3] * stride3;\n  const stride1 = shape[2] * stride2;\n  const stride0 = shape[1] * stride1;\n\n  if (inputInfo.shapeInfo.isUniform) {\n    // Uniform arrays will be less than 65505 (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4(${stride0}, ${stride1}, ${stride2}, ${stride3})) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(${stride4}, 1)));\n        ${getUniformSampler(inputInfo)}\n      }\n    `;\n  }\n\n  const flatOffset = inputInfo.shapeInfo.flatOffset;\n  const texShape = inputInfo.shapeInfo.texShape;\n  const texNumR = texShape[0];\n  const texNumC = texShape[1];\n  if (texNumC === stride0 && flatOffset == null) {\n    // texC is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4(${stride1}, ${stride2}, ${stride3}, ${stride4})) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  if (texNumC === stride4 && flatOffset == null) {\n    // texR is used directly as physical (no risk of float16 overflow).\n    return `\n      float ${funcName}(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4(${shape[1] * shape[2] * shape[3] * shape[4]},\n               ${shape[2] * shape[3] * shape[4]},\n               ${shape[3] * shape[4]},\n               ${shape[4]})) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(${texNumC}.0, ${texNumR}.0);\n        return sampleTexture(${texName}, uv);\n      }\n    `;\n  }\n  const offset = getFlatOffsetUniformName(texName);\n  return `\n    float ${funcName}(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ${stride0} + col * ${stride1} + depth * ${stride2} +\n          depth2 * ${stride3} + depth3 * ${stride4} + depth4 + ${offset};\n      vec2 uv = uvFromFlat(${texNumR}, ${texNumC}, index);\n      return sampleTexture(${texName}, uv);\n    }\n  `;\n}\n\nfunction getUniformSampler(inputInfo: InputInfo): string {\n  const texName = inputInfo.name;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n\n  if (inSize < 2) {\n    return `return ${texName};`;\n  }\n  return `\n    for (int i = 0; i < ${inSize}; i++) {\n      if (i == index) {\n        return ${texName}[i];\n      }\n    }\n  `;\n}\n\nfunction getPackedSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n\n  const type = getCoordsDataType(outRank);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  let output = `return outputValue;`;\n  const inSize = util.sizeFromShape(inputInfo.shapeInfo.logicalShape);\n  const isInputScalar = inSize === 1;\n  const outSize = util.sizeFromShape(outShapeInfo.logicalShape);\n  const isOutputScalar = outSize === 1;\n\n  if (inRank === 1 && !isInputScalar && !isOutputScalar) {\n    output = `\n      return vec4(outputValue.xy, outputValue.xy);\n    `;\n  } else if (isInputScalar && !isOutputScalar) {\n    if (outRank === 1) {\n      output = `\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      `;\n    } else {\n      output = `\n        return vec4(outputValue.x);\n      `;\n    }\n  } else if (broadcastDims.length) {\n    const rows = inRank - 2;\n    const cols = inRank - 1;\n\n    if (broadcastDims.indexOf(rows) > -1 && broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.x);`;\n    } else if (broadcastDims.indexOf(rows) > -1) {\n      output = `return vec4(outputValue.x, outputValue.y, ` +\n          `outputValue.x, outputValue.y);`;\n    } else if (broadcastDims.indexOf(cols) > -1) {\n      output = `return vec4(outputValue.xx, outputValue.zz);`;\n    }\n  }\n\n  return `\n    vec4 ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      vec4 outputValue = get${texFuncSnippet}(${unpackedCoordsSnippet});\n      ${output}\n    }\n  `;\n}\n\nfunction getSamplerAtOutputCoords(\n    inputInfo: InputInfo, outShapeInfo: ShapeInfo) {\n  const texName = inputInfo.name;\n  const texFuncSnippet = texName.charAt(0).toUpperCase() + texName.slice(1);\n  const funcName = 'get' + texFuncSnippet + 'AtOutCoords';\n  const outTexShape = outShapeInfo.texShape;\n  const inTexShape = inputInfo.shapeInfo.texShape;\n  const inRank = inputInfo.shapeInfo.logicalShape.length;\n  const outRank = outShapeInfo.logicalShape.length;\n\n  if (!inputInfo.shapeInfo.isUniform && inRank === outRank &&\n      inputInfo.shapeInfo.flatOffset == null &&\n      util.arraysEqual(inTexShape, outTexShape)) {\n    return `\n      float ${funcName}() {\n        return sampleTexture(${texName}, resultUV);\n      }\n    `;\n  }\n\n  const type = getCoordsDataType(outRank);\n  const broadcastDims = getBroadcastDims(\n      inputInfo.shapeInfo.logicalShape, outShapeInfo.logicalShape);\n  const rankDiff = outRank - inRank;\n  let coordsSnippet: string;\n  const fields = ['x', 'y', 'z', 'w', 'u', 'v'];\n\n  if (inRank === 0) {\n    coordsSnippet = '';\n  } else if (outRank < 2 && broadcastDims.length >= 1) {\n    coordsSnippet = 'coords = 0;';\n  } else {\n    coordsSnippet =\n        broadcastDims.map(d => `coords.${fields[d + rankDiff]} = 0;`)\n            .join('\\n');\n  }\n  let unpackedCoordsSnippet = '';\n  if (outRank < 2 && inRank > 0) {\n    unpackedCoordsSnippet = 'coords';\n  } else {\n    unpackedCoordsSnippet = inputInfo.shapeInfo.logicalShape\n                                .map((s, i) => `coords.${fields[i + rankDiff]}`)\n                                .join(', ');\n  }\n\n  return `\n    float ${funcName}() {\n      ${type} coords = getOutputCoords();\n      ${coordsSnippet}\n      return get${texFuncSnippet}(${unpackedCoordsSnippet});\n    }\n  `;\n}\n\nexport function getCoordsDataType(rank: number): string {\n  if (rank <= 1) {\n    return 'int';\n  } else if (rank === 2) {\n    return 'ivec2';\n  } else if (rank === 3) {\n    return 'ivec3';\n  } else if (rank === 4) {\n    return 'ivec4';\n  } else if (rank === 5) {\n    return 'ivec5';\n  } else if (rank === 6) {\n    return 'ivec6';\n  } else {\n    throw Error(`GPU for rank ${rank} is not yet supported`);\n  }\n}\n\n/** Returns a new input info (a copy) that has a squeezed logical shape. */\nfunction squeezeInputInfo(\n    inInfo: InputInfo, squeezedShape: number[]): InputInfo {\n  // Deep copy.\n  const newInputInfo: InputInfo = JSON.parse(JSON.stringify(inInfo));\n  newInputInfo.shapeInfo.logicalShape = squeezedShape;\n  return newInputInfo;\n}\n\nfunction getSqueezedParams(params: string[], keptDims: number[]): string {\n  return keptDims.map(d => params[d]).join(', ');\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ArgMinMaxPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      shape: number[], windowSize: number, op: 'max'|'min',\n      firstPass: boolean) {\n    assert(\n        shape.length > 2,\n        () => `Packed arg${\n            op.charAt(0).toUpperCase() +\n            op.slice(1)} supports only inputs with rank above 2.`);\n    const inSize = shape[shape.length - 1];\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = shape.slice(0, -1);\n    if (outSize > 1) {\n      this.outputShape.push(outSize);\n    }\n    if (!firstPass) {\n      this.variableNames.push('bestIndicesA');\n    }\n    const outShape = this.outputShape;\n    const rank = outShape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n\n    let sourceLocSetup;\n    let sourceRank;\n    if (outSize === 1) {\n      sourceRank = rank + 1;\n      const sourceLocDType = getCoordsDataType(sourceRank);\n      sourceLocSetup = `\n        ${sourceLocDType} sourceLocR = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 1]};\n        ${sourceLocDType} sourceLocG = ${sourceLocDType}(${coords.join()}, 0);\n        ++${coords[rank - 2]};\n        ${sourceLocDType} sourceLocA = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 1]};\n        ${sourceLocDType} sourceLocB = ${sourceLocDType}(${coords.join()}, 0);\n        --${coords[rank - 2]};`;\n    } else {\n      sourceRank = rank;\n      sourceLocSetup = `\n        ${dtype} sourceLocR = coords;\n        ++${coords[rank - 1]};\n        ${dtype} sourceLocG = coords;\n        ++${coords[rank - 2]};\n        ${dtype} sourceLocA = coords;\n        --${coords[rank - 1]};\n        ${dtype} sourceLocB = coords;\n        --${coords[rank - 2]};`;\n    }\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, sourceRank);\n    const inChannel = '.' + channels[sourceRank - 1];  // e.g. \".b\" for rank 3.\n    const intChannels = channels.map(x => 'int ' + x);\n    const srcRCoords =\n        getChannels('sourceLocR', sourceRank - 1).concat('inIdx.r');\n    const srcGCoords =\n        getChannels('sourceLocG', sourceRank - 1).concat('inIdx.g');\n    const srcBCoords =\n        getChannels('sourceLocB', sourceRank - 1).concat('inIdx.b');\n    const srcACoords =\n        getChannels('sourceLocA', sourceRank - 1).concat('inIdx.a');\n\n    const compOp = (op === 'max') ? 'greaterThan' : 'lessThan';\n    const fetchCandidateIdx = firstPass ? '' : `\n          inIdx = round(vec4(getBestIndicesAChannel(${srcRCoords.join()}),\n                             getBestIndicesAChannel(${srcGCoords.join()}),\n                             getBestIndicesAChannel(${srcBCoords.join()}),\n                             getBestIndicesAChannel(${srcACoords.join()})));`;\n\n    const fetchValue = `vec4(\n            getAChannel(${srcRCoords.join()}),\n            hasNextCol ? getAChannel(${srcGCoords.join()}) : 0.,\n            hasNextRow ? getAChannel(${srcBCoords.join()}) : 0.,\n            hasNextRow && hasNextCol ? getAChannel(${srcACoords.join()}) : 0.)`;\n\n    const getBestIndicesAChannelSnippet = firstPass ? '' : `\n      float getBestIndicesAChannel(${intChannels.join()}) {\n        return getChannel(getBestIndicesA(${channels.join()}),\n                                          vec2(${channels.slice(-2).join()}));\n      }`;\n\n    this.userCode = `\n      float getAChannel(${intChannels.join()}) {\n        return getChannel(getA(${channels.join()}),\n                               vec2(${channels.slice(-2).join()}));\n      }\n      ${getBestIndicesAChannelSnippet}\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        bool hasNextCol = ${coords[rank - 1]} < ${outShape[rank - 1] - 1};\n        bool hasNextRow = ${coords[rank - 2]} < ${outShape[rank - 2] - 1};\n        ${sourceLocSetup}\n        ivec4 srcIdx = ivec4(sourceLocR${inChannel}, sourceLocG${inChannel},\n          sourceLocB${inChannel}, sourceLocA${inChannel}) * ${windowSize};\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ${fetchValue};\n\n        for (int i = 0; i < ${windowSize}; i++) {\n          inIdx = srcIdx;\n          ${fetchCandidateIdx}\n          vec4 candidate = ${fetchValue};\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(${compOp}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class AvgPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth};\n            wC+= ${dilationWidth}) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class AvgPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float avgMultiplier = float(${avgMultiplier});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = '0.0';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = '1.0';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ${offsetSnippet};\n        float scale = ${scaleSnippet};\n        float inv = scale * inversesqrt(variance + float(${varianceEpsilon}));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class BatchNormPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], meanShape: number[], varianceShape: number[],\n      offsetShape: number[]|null, scaleShape: number[]|null,\n      varianceEpsilon: number) {\n    this.variableNames = ['x', 'mean', 'variance'];\n    broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);\n    broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);\n\n    let offsetSnippet = 'vec4(0.0)';\n    if (offsetShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);\n      this.variableNames.push('offset');\n      offsetSnippet = 'getOffsetAtOutCoords()';\n    }\n\n    let scaleSnippet = 'vec4(1.0)';\n    if (scaleShape != null) {\n      broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);\n      this.variableNames.push('scale');\n      scaleSnippet = 'getScaleAtOutCoords()';\n    }\n\n    this.outputShape = xShape;\n    this.userCode = `\n      void main() {\n        vec4 offset = ${offsetSnippet};\n        vec4 scale = ${scaleSnippet};\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(${varianceEpsilon}));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\n// (Ar + Ai)(Br + Bi) =\n// ArBr + ArBi + AiBr + AiBi = ArBr - AB + ArBi + AiBr\n// Yr = ArBr - AB\n// Yi = ArBi + AiBr\nexport const COMPLEX_MULTIPLY = {\n  REAL: 'return areal * breal - aimag * bimag;',\n  IMAG: 'return areal * bimag + aimag * breal;'\n};\n\nexport class BinaryOpComplexProgram implements GPGPUProgram {\n  variableNames = ['AReal', 'AImag', 'BReal', 'BImag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    this.userCode = `\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        ${op}\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nconst CHECK_NAN_SNIPPET = `\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n`;\n\nexport const ADD = 'return a + b;';\nexport const SUB = 'return a - b;';\nexport const MUL = 'return a * b;';\n\n// Without the equality check div produces 0.9999 for a = b, which when\n// floored can cause errors.\nexport const DIV = `\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;`;\n\n// We use native integer division to deal with floating point imprecision. Since\n// we implement floor division and glsl implements truncated division, we\n// correct for this by subtracting 1 from result when the result is negative and\n// there is a remainder.\nexport const INT_DIV = `\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n`;\n\nexport const POW = `\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n`;\nexport const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n\nexport const EQUAL = `return float(a == b);`;\n\nexport const NOT_EQUAL = `return float(a != b);`;\n\nexport const LESS = `return float(a < b);`;\n\nexport const LESS_EQUAL = `return float(a <= b);`;\n\nexport const GREATER = `return float(a > b);`;\n\nexport const GREATER_EQUAL = `return float(a >= b);`;\n\nexport const LOGICAL_AND = `return float(a >= 1.0 && b >= 1.0);`;\n\nexport const LOGICAL_OR = `return float(a >= 1.0 || b >= 1.0);`;\n\nexport const MAX = CHECK_NAN_SNIPPET + `\n  return max(a, b);\n`;\nexport const MIN = CHECK_NAN_SNIPPET + `\n  return min(a, b);\n`;\nexport const MOD = `if (b == 0.0) return NAN;\n  return mod(a, b);`;\n\nexport const ATAN2 = CHECK_NAN_SNIPPET + `\n  return atan(a, b);\n`;\n\nexport const ELU_DER = `return (b >= 1.0) ? a : a * (b + 1.0);`;\n\nexport const PRELU = `return (a < 0.) ? b * a : a;`;\n\nexport class BinaryOpProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, aShape: number[], bShape: number[]) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    this.userCode = `\n      float binaryOperation(float a, float b) {\n        ${op}\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {sizeFromShape} from '../../util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nconst CHECK_NAN_SNIPPET = `\n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n`;\n\n// We do the same as in ./binaryop_gpu, with vec4 and ivec4.\n// On Linux, the vectorized implementation produces NaNs when a and b are 0.\nexport const DIV = `\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n`;\n\nexport const INT_DIV = `\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n`;\n\nexport const POW = `\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const PRELU = `\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n`;\n\nexport const ELU_DER = `\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n`;\n\nexport const ATAN2 = `\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const EQUAL = `\n  return vec4(equal(a, b));\n`;\n\nexport const NOT_EQUAL = `\n  return vec4(notEqual(a, b));\n`;\n\nexport const LESS = `\n  return vec4(lessThan(a, b));\n`;\n\nexport const LESS_EQUAL = `\n  return vec4(lessThanEqual(a, b));\n`;\n\nexport const GREATER = `\n  return vec4(greaterThan(a, b));\n`;\n\nexport const GREATER_EQUAL = `\n  return vec4(greaterThanEqual(a, b));\n`;\n\nexport const LOGICAL_AND = `\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n`;\n\nexport const LOGICAL_OR = `\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n`;\n\nexport const MAX = `\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MIN = `\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport const MOD = `\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  ` +\n    CHECK_NAN_SNIPPET + `\n  return result;\n`;\n\nexport class BinaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A', 'B'];\n  outputShape: number[];\n  userCode: string;\n  supportsBroadcasting = true;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      op: string, aShape: number[], bShape: number[],\n      checkOutOfBounds = false) {\n    this.outputShape =\n        broadcast_util.assertAndGetBroadcastShape(aShape, bShape);\n    const rank = this.outputShape.length;\n    let checkOutOfBoundsString = '';\n    if (checkOutOfBounds) {\n      if (rank === 0 || sizeFromShape(this.outputShape) === 1) {\n        checkOutOfBoundsString = `\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        `;\n      } else {\n        const dtype = getCoordsDataType(rank);\n        checkOutOfBoundsString = `\n          ${dtype} coords = getOutputCoords();\n        `;\n        if (rank === 1) {\n          checkOutOfBoundsString += `\n            result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          `;\n        } else {\n          const channels = getChannels('coords', rank);\n          checkOutOfBoundsString += `\n            bool nextRowOutOfBounds =\n              (${channels[rank - 2]} + 1) >= ${this.outputShape[rank - 2]};\n            bool nextColOutOfBounds =\n              (${channels[rank - 1]} + 1) >= ${this.outputShape[rank - 1]};\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          `;\n        }\n      }\n    }\n\n    this.userCode = `\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        ${op}\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ${checkOutOfBoundsString}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ClipPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  userCode: string;\n  outputShape: number[];\n\n  // Caching uniform locations for speed.\n  minLoc: WebGLUniformLocation;\n  maxLoc: WebGLUniformLocation;\n\n  constructor(aShape: number[]) {\n    this.outputShape = aShape;\n    this.userCode = `\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(min: number, max: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.minLoc == null) {\n        this.minLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'minVal');\n        this.maxLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'maxVal');\n      }\n      gpgpu.gl.uniform1f(this.minLoc, min);\n      gpgpu.gl.uniform1f(this.maxLoc, max);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ComplexAbsProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(shape: number[]) {\n    this.outputShape = shape;\n    this.userCode = `\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ConcatProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  // Concats 2d tensors along axis=1. See comments in MathBackendWebGL.concat().\n  constructor(shapes: Array<[number, number]>) {\n    this.outputShape = concat_util.computeOutShape(shapes, 1 /* axis */);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][1];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][1];\n    }\n\n    const snippets = [`if (yC < ${offsets[0]}) setOutput(getT0(yR, yC));`];\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      snippets.push(\n          `else if (yC < ${offsets[i]}) ` +\n          `setOutput(getT${i}(yR, yC-${shift}));`);\n    }\n    const lastIndex = offsets.length;\n    const lastShift = offsets[offsets.length - 1];\n    snippets.push(`else setOutput(getT${lastIndex}(yR, yC-${lastShift}));`);\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        ${snippets.join('\\n        ')}\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as concat_util from '../../ops/concat_util';\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ConcatPackedProgram implements GPGPUProgram {\n  variableNames: string[];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(shapes: number[][], axis: number) {\n    this.outputShape = concat_util.computeOutShape(shapes, axis);\n    const shape = this.outputShape;\n    const rank = shape.length;\n    const dtype = getCoordsDataType(rank);\n    const coords = getChannels('coords', rank);\n    const channels = ['x', 'y', 'z', 'w', 'u', 'v'].slice(0, rank);\n    this.variableNames = shapes.map((_, i) => `T${i}`);\n\n    const offsets: number[] = new Array(shapes.length - 1);\n    offsets[0] = shapes[0][axis];\n    for (let i = 1; i < offsets.length; i++) {\n      offsets[i] = offsets[i - 1] + shapes[i][axis];\n    }\n\n    const channel = channels[axis];\n    const lastChannels = channels.slice(-2);\n    const allChannels = channels.join();\n\n    let getValueSnippet = `if (${channel} < ${offsets[0]}) {\n        return getChannel(\n            getT0(${allChannels}), vec2(${lastChannels.join()}));\n        }`;\n    for (let i = 1; i < offsets.length; i++) {\n      const shift = offsets[i - 1];\n      // Note: the >= comparison below may seem unnecessary given the check\n      // above but is needed to workaround branch execution issues on some\n      // devices. It makes all the conditions exclusive without relying on\n      // execution order.\n      getValueSnippet += `\n        if (${channel} < ${offsets[i]}  && ${channel} >= ${offsets[i - 1]}) {\n          return getChannel(\n            getT${i}(${shiftedChannels(channels, channel, shift)}),\n            vec2(${shiftedChannels(lastChannels, channel, shift)}));\n        }`;\n    }\n    const lastIndex = offsets.length;\n    const shift = offsets[offsets.length - 1];\n    getValueSnippet += `\n        return getChannel(\n          getT${lastIndex}(${shiftedChannels(channels, channel, shift)}),\n          vec2(${shiftedChannels(lastChannels, channel, shift)}));`;\n\n    this.userCode = `\n      float getValue(${channels.map(x => 'int ' + x)}) {\n        ${getValueSnippet}\n      }\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        vec4 result = vec4(getValue(${coords}), 0., 0., 0.);\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} + 1;\n        if (${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.g = getValue(${coords});\n        }\n\n        ${coords[rank - 2]} = ${coords[rank - 2]} + 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]}) {\n          result.a = getValue(${coords});\n        }\n\n        ${coords[rank - 1]} = ${coords[rank - 1]} - 1;\n        if (${coords[rank - 2]} < ${shape[rank - 2]} &&\n            ${coords[rank - 1]} < ${shape[rank - 1]}) {\n          result.b = getValue(${coords});\n        }\n        setOutput(result);\n      }\n    `;\n  }\n}\n\n/**\n * Return an expression for coordinates into a vector where a given channel\n * will be offset by [shift].\n *\n * @param channels the channels to consider\n * @param channel the channel we want shifted\n * @param shift  the amount to subtract from the channel.\n *\n * @returns a string of the form 'x, y-[shift], z' where any one channel can\n * have the shift applied.\n */\nfunction shiftedChannels(channels: string[], channel: string, shift: number) {\n  const channelIdx = channels.indexOf(channel);\n  const res = channels.map((c, idx) => {\n    if (idx === channelIdx) {\n      return `${c} - ${shift}`;\n    } else {\n      return c;\n    }\n  });\n  return res.join();\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              if (${isChannelsLast}) {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[${channelDim}];\n\n        ivec2 dyCorner = ivec2(coords[${rowDim}], coords[${colDim}]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n\n              if (${isChannelsLast}) {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    this.userCode = `\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yF = 0; yF < ${convInfo.outDepth}; yF++) {\n            int xF = wF + yF * ${strideDepth} - ${padFront};\n\n            if (xF < 0 || xF >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n              int xR = wR + yR * ${strideHeight} - ${padTop};\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n                int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class Conv3DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padFront = filterDepth - 1 - convInfo.padInfo.front;\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          float dyF = float(dyFCorner + wF) / ${strideDepth}.0;\n\n          if (dyF < 0.0 || dyF >= ${convInfo.outDepth}.0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ${filterDepth} - 1 - wF;\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ${filterHeight} - 1 - wR;\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ${filterWidth} - 1 - wC;\n\n              for (int d2 = 0; d2 < ${convInfo.outChannels}; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DDerFilterProgram implements GPGPUProgram {\n  variableNames = ['x', 'dy'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.filterShape;\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * ${channelMul} + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < ${convInfo.batchSize}; b++) {\n          for (int yR = 0; yR < ${convInfo.outHeight}; yR++) {\n            int xR = wR + yR * ${strideHeight} - ${padTop};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int yC = 0; yC < ${convInfo.outWidth}; yC++) {\n              int xC = wC + yC * ${strideWidth} - ${padLeft};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class DepthwiseConv2DDerInputProgram implements GPGPUProgram {\n  variableNames = ['dy', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n\n    const padTop = filterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = filterWidth - 1 - convInfo.padInfo.left;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ${filterHeight} - 1 - wR;\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ${filterWidth} - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < ${channelMul}; dm++) {\n              int d2 = d1 * ${channelMul} + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Conv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivationWeights = false) {\n    this.outputShape = convInfo.outShape;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const rowDim = isChannelsLast ? 1 : 2;\n    const colDim = isChannelsLast ? 2 : 3;\n    const channelDim = isChannelsLast ? 3 : 1;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivationWeights) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivationWeights) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[${channelDim}];\n\n        ivec2 xRCCorner =\n            ivec2(coords[${rowDim}], coords[${colDim}]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${convInfo.inWidth}) {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if (${inputDepthVec4Remainder === 1}) {\n\n              if (${isChannelsLast}) {\n                dotProd +=\n                    getX(batch, xR, xC, ${inputDepthNearestVec4}) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              } else {\n                dotProd +=\n                    getX(batch, ${inputDepthNearestVec4}, xR, xC) *\n                    getW(wR, wC, ${inputDepthNearestVec4}, d2);\n              }\n\n            } else if (${inputDepthVec4Remainder === 2}) {\n              vec2 wValues = vec2(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (${inputDepthVec4Remainder === 3}) {\n              vec3 wValues = vec3(\n                getW(wR, wC, ${inputDepthNearestVec4}, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                getW(wR, wC, ${inputDepthNearestVec4} + 2, d2)\n              );\n\n              if (${isChannelsLast}) {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ${inputDepthNearestVec4}, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 1, xR, xC),\n                  getX(batch, ${inputDepthNearestVec4} + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nexport class Conv3DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.outShape;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const inputDepthNearestVec4 = Math.floor(convInfo.inChannels / 4) * 4;\n    const inputDepthVec4Remainder = convInfo.inChannels % 4;\n\n    this.userCode = `\n      const ivec3 strides = ivec3(${strideDepth}, ${strideHeight}, ${\n        strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < ${filterDepth}; wF++) {\n          int xF = xFCorner + wF * ${dilationDepth};\n\n          if (xF < 0 || xF >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${filterHeight}; wR++) {\n            int xR = xRCorner + wR * ${dilationHeight};\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidth}; wC++) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ${inputDepthNearestVec4}; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if (${inputDepthVec4Remainder === 1}) {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}) *\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2);\n              } else if (${inputDepthVec4Remainder === 2}) {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (${inputDepthVec4Remainder === 3}) {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4}),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 1),\n                  getX(batch, xF, xR, xC, ${inputDepthNearestVec4} + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ${inputDepthNearestVec4}, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 1, d2),\n                  getW(wF, wR, wC, ${inputDepthNearestVec4} + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConv2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const channelMul = convInfo.outChannels / convInfo.inChannels;\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `\n          float activation(float x) {\n            ${activation}\n          }\n        `;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / ${channelMul};\n        int q = d2 - d1 * ${channelMul};\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < ${filterHeight}; wR++) {\n          int xR = xRCorner + wR * ${dilationHeight};\n\n          if (xR < 0 || xR >= ${xNumRows}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidth}; wC++) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            if (xC < 0 || xC >= ${xNumCols}) {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as util from '../../util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthwiseConvPacked2DProgram implements GPGPUProgram {\n  variableNames = ['x', 'W'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, addBias = false, activation: string = null,\n      hasPreluActivation = false) {\n    this.outputShape = convInfo.outShape;\n\n    const xNumRows = convInfo.inHeight;\n    const xNumCols = convInfo.inWidth;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const texelsAcross = filterWidth;\n\n    let mainLoop = `int xR; int xC; int xCOffset;`;\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `\n          vec4 xTexelR${r}C${c * 2} = vec4(0.);\n          vec4 wR${r}C${c} = vec4(0.);\n          vec4 xR${r}C${c} = vec4(0.);`;\n      }\n    }\n\n    /**\n     * This vectorized implementation works by gathering the values needed for\n     * each output channel's dot product into vec4's and then multiplying them\n     * all together (this happens in the final double for-loop below). Most of\n     * the main loop consists of constructing these vec4's with the minimum\n     * number of texture2D calls, which means making use of all four returned\n     * values from a texture2D call at once.\n     */\n    for (let r = 0; r < filterHeight; r++) {\n      for (let texelC = 0; texelC < texelsAcross; texelC++) {\n        const c = texelC * 2;\n\n        mainLoop += `\n          xR = xRCorner + ${r * dilationHeight};\n          xC = xCCorner + ${c * dilationWidth};\n        `;\n\n        if (strideWidth === 1) {\n          if (c < filterWidth) {\n            // If padding is odd, the outer texels have to be composed.\n            if (padLeft % 2 === 1) {\n              // TODO: Ensure vec4 previous does not result in redundant sample,\n              // and avoid setting xTexelRC's that exceed the boundary in the\n              // first place rather than resetting them to vec4(0)).\n\n              // To compute xCOffset:\n              // - If padding is odd, we must add 1 to ensure we ask for an\n              // even-numbered row.\n              // - We subtract 2 to access the previous texel.\n\n              mainLoop += `\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= ${xNumCols}) {\n                    xTexelR${r}C${c}.zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < ${xNumRows} && xCOffset >= 0 && xCOffset < ${\n                  xNumCols}) {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= ${xNumCols}) {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR${r}C${c} = vec4(previous.zw, xTexelR${r}C${c}.xy);\n                } else {\n                  xR${r}C${c} = vec4(0, 0, xTexelR${r}C${c}.xy);\n                }\n              `;\n            } else {\n              // Padding is even, so xRC corresponds to a single texel.\n              mainLoop += `\n                if(xR >= 0 && xR < ${xNumRows} && xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xR${r}C${c} = xTexelR${r}C${c};\n              `;\n            }\n\n            if (c + 1 < filterWidth) {\n              // If dilation is even, the second entry should match the first\n              // (either both are composed or both are single samples). But if\n              // dilation is odd, then the second entry should be the opposite\n              // of the first (if the first is composed, the second is a single\n              // sample, and vice versa.)\n\n              const nextTexelOffset = padLeft % 2 === 0 ?\n                  util.nearestLargerEven(dilationWidth) :\n                  dilationWidth;\n\n              if ((dilationWidth % 2 === 0 && padLeft % 2 === 1) ||\n                  (dilationWidth % 2 !== 0 && padLeft % 2 !== 1)) {\n                mainLoop += `\n                  xCOffset = xC + ${padLeft % 2} + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n                `;\n\n                // If dilation > 1 then the xRC's will not be able to share any\n                // values, so each xRC will require two unique calls to getX.\n                if (dilationWidth > 1) {\n                  mainLoop += `\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < ${xNumRows} &&\n                      xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                      xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR${r}C${c} = vec4(0.);\n                    }\n                  `;\n                }\n\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.xy);\n                `;\n              } else {\n                mainLoop += `\n                  xCOffset = xC + ${nextTexelOffset};\n\n                  if(xR >= 0 && xR < ${xNumRows} &&\n                    xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR${r}C${c + 1} = xTexelR${r}C${c + 2};\n                `;\n              }\n            }\n          }\n        } else {  // stride > 1\n          if (c < filterWidth) {\n            mainLoop += `\n              if(xR >= 0 && xR < ${xNumRows}) {\n            `;\n\n            // Depending on whether padLeft is even or odd, we want either the\n            // xy or zw channels from X texels for xR${r}C${c}. If padLeft is\n            // even, xR${r}C${c + 1} is simply the zw channels of texels we've\n            // already sampled. But if padLeft is odd, xR${r}C{$c + 1}.zw will\n            // need to come from the xy channels of a new texel, hence the `vec4\n            // final` initialized below.\n            if (padLeft % 2 === 1) {\n              mainLoop += `\n                xCOffset = xC + 1 - ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + ${strideWidth};\n                  if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR${r}C${c + 1} = vec4(xTexelR${r}C${c + 2}.xy, final.xy);\n                `;\n              }\n            } else {\n              mainLoop += `\n                if(xC >= 0 && xC < ${xNumCols}) {\n                  xTexelR${r}C${c} = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR${r}C${c} = vec4(0.);\n                }\n\n                xCOffset = xC + ${strideWidth};\n                if(xCOffset >= 0 && xCOffset < ${xNumCols}) {\n                  xTexelR${r}C${c + 2} = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR${r}C${c + 2} = vec4(0.);\n                }\n\n                xR${r}C${c} = vec4(\n                  xTexelR${r}C${c}.xy, xTexelR${r}C${c + 2}.xy);\n              `;\n\n              if (c + 1 < filterWidth) {\n                mainLoop += `\n                  xR${r}C${c + 1} = vec4(\n                    xTexelR${r}C${c}.zw, xTexelR${r}C${c + 2}.zw);\n                `;\n              }\n            }\n\n            mainLoop += `}`;\n          }\n        }\n\n        if (c < filterWidth) {\n          mainLoop += `\n            vec4 wTexelR${r}C${c} = getW(${r}, ${c}, d1, q);\n            wR${r}C${c} = vec4(wTexelR${r}C${c}.xz, wTexelR${r}C${c}.xz);\n          `;\n\n          if (c + 1 < filterWidth) {\n            mainLoop += `\n              vec4 wTexelR${r}C${c + 1} = getW(${r}, ${c + 1}, d1, q);\n              wR${r}C${c + 1} =\n                vec4(wTexelR${r}C${c + 1}.xz, wTexelR${r}C${c + 1}.xz);`;\n          }\n        }\n      }\n    }\n\n    for (let r = 0; r < filterHeight; r++) {\n      for (let c = 0; c < filterWidth; c++) {\n        mainLoop += `dotProd += xR${r}C${c} * wR${r}C${c};`;\n      }\n    }\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        ${mainLoop}\n\n        vec4 result = dotProd;\n        ${addBiasSnippet}\n        ${applyActivationSnippet}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class CropAndResizeProgram implements GPGPUProgram {\n  variableNames = ['Image', 'Boxes', 'BoxInd'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      imageShape: [number, number, number, number], boxShape: [number, number],\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number) {\n    const [batch, imageHeight, imageWidth, depth] = imageShape;\n    const [numBoxes, ] = boxShape;\n    const [cropHeight, cropWidth] = cropSize;\n    this.outputShape = [numBoxes, cropHeight, cropWidth, depth];\n    const methodId = method === 'bilinear' ? 1 : 0;\n\n    const [inputHeightFloat, inputWidthFloat] =\n        [`${imageHeight - 1}.0`, `${imageWidth - 1}.0`];\n\n    const [heightRatio, heightScale, inY] = cropHeight > 1 ?\n        [\n          `${(imageHeight - 1) / (cropHeight - 1)}`,\n          '(y2-y1) * height_ratio',\n          `y1*${inputHeightFloat} + float(y)*(height_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (y1+y2) * ${inputHeightFloat}`,\n        ];\n    const [widthRatio, widthScale, inX] = cropWidth > 1 ?\n        [\n          `${(imageWidth - 1) / (cropWidth - 1)}`,\n          '(x2-x1) * width_ratio',\n          `x1*${inputWidthFloat} + float(x)*(width_scale)`,\n        ] :\n        [\n          '0.0',\n          '0.0',\n          `0.5 * (x1+x2) * ${inputWidthFloat}`,\n        ];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op_gpu.cu.cc\n    this.userCode = `\n      const float height_ratio = float(${heightRatio});\n      const float width_ratio = float(${widthRatio});\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= ${batch}) {\n          return;\n        }\n\n        float height_scale = ${heightScale};\n        float width_scale = ${widthScale};\n\n        float in_y = ${inY};\n        if( in_y < 0.0 || in_y > ${inputHeightFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n        float in_x = ${inX};\n        if( in_x < 0.0 || in_x > ${inputWidthFloat} ) {\n          setOutput(float(${extrapolationValue}));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if(${methodId} == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class CumSumProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(shape: number[], exclusive: boolean, reverse: boolean) {\n    this.outputShape = shape;\n    const rank = shape.length;\n    const finalDim = shape[shape.length - 1];\n    const comparator = reverse ? '<' : '>';\n\n    this.userCode = `\n      int getIndex(int i) {\n        ${reverse ? `return ${finalDim} -i - 1;` : 'return i;'}\n      }\n\n      void main() {\n        ${getCoordsDataType(rank)} coords = getOutputCoords();\n        int end = ${getFinalCoord(rank, 'coords')};\n        float val = 0.0;\n        for (int i = ${finalDim} - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx ${comparator} end) {\n            continue;\n          }\n          if (idx == end && ${exclusive}) {\n            continue;\n          }\n          ${getFinalCoord(rank, 'coords')} = idx;\n          val += getX(${getCoords(rank, 'coords')});\n        }\n        setOutput(val);\n      }\n    `;\n  }\n}\n\nfunction getCoords(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.x, ${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.x, ${name}.y, ${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.x, ${name}.y, ${name}.z, ${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n\nfunction getFinalCoord(rank: number, name: string): string {\n  if (rank === 1) {\n    return `${name}`;\n  } else if (rank === 2) {\n    return `${name}.y`;\n  } else if (rank === 3) {\n    return `${name}.z`;\n  } else if (rank === 4) {\n    return `${name}.w`;\n  } else {\n    throw Error(`Cumulative sum for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: [number, number, number];\n  packedInputs = false;\n  packedOutput = true;\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\nimport {getDenseTexShape, PackingScheme} from './tex_util';\n\nexport class DecodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: [number, number, number];\n  outPackingScheme = PackingScheme.DENSE;\n\n  constructor(outputShape: [number, number, number]) {\n    const texShape = getDenseTexShape(outputShape);\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n\n    this.userCode = `\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ${\n        shader_util.getLogicalCoordinatesFromFlatIndex(\n            ['r', 'c', 'd'], outputShape)}\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(${texShape[0]}, ${texShape[1]}));\n        int index = 4 * (resTexRC.x * ${texShape[1]} + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DepthToSpaceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  blockSize: number;\n  dataFormat: string;\n\n  constructor(\n      outputShape: number[], blockSize: number, dataFormat: 'NHWC'|'NCHW') {\n    this.outputShape = outputShape;\n    this.blockSize = blockSize;\n    this.dataFormat = dataFormat;\n    this.userCode = `\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ${this.getHeightCoordString()};\n      int w = ${this.getWidthCoordString()};\n      int d = ${this.getDepthCoordString()};\n\n      int in_h = h / ${blockSize};\n      int offset_h = imod(h, ${blockSize});\n      int in_w = w / ${blockSize};\n      int offset_w = imod(w, ${blockSize});\n      int offset_d = (offset_h * ${blockSize} + offset_w) *\n        ${this.getOutputDepthSize()};\n      int in_d = d + offset_d;\n\n      float result = ${this.getInputSamplingString()};\n      setOutput(result);\n    }\n  `;\n  }\n\n  private getHeightCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[1]`;\n    } else {\n      return `coords[2]`;\n    }\n  }\n\n  private getWidthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[2]`;\n    } else {\n      return `coords[3]`;\n    }\n  }\n\n  private getDepthCoordString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `coords[3]`;\n    } else {\n      return `coords[1]`;\n    }\n  }\n\n  private getOutputDepthSize(): number {\n    if (this.dataFormat === 'NHWC') {\n      return this.outputShape[3];\n    } else {\n      return this.outputShape[1];\n    }\n  }\n\n  private getInputSamplingString(): string {\n    if (this.dataFormat === 'NHWC') {\n      return `getX(b, in_h, in_w, in_d)`;\n    } else {\n      return `getX(b, in_d, in_h, in_w)`;\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class DiagProgram implements GPGPUProgram {\n  variableNames = ['X'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(size: number) {\n    this.outputShape = [size, size];\n    this.userCode = `\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        float x = getAAtOutCoords();\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {ENCODE_FLOAT_SNIPPET} from './shader_compiler_util';\nimport {TextureUsage} from './tex_util';\n\nexport class EncodeFloatPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = false;\n  outTexUsage = TextureUsage.DOWNLOAD;\n\n  constructor(outputShape: [number, number, number]) {\n    const glsl = getGlslDifferences();\n    this.outputShape = outputShape;\n    this.userCode = `\n      ${ENCODE_FLOAT_SNIPPET}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ${glsl.output} = encode_float(x);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class EncodeMatrixProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let output = `result`;\n    if (inputIsUnsignedByte) {\n      output = `floor(result * 255. + 0.5)`;\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / ${width};\n        int c = imod(flatIndex, ${width});\n        vec2 uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n        vec4 values = ${glsl.texture2D}(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        ${glsl.output} = vec4(${output}, 0., 0., 0.);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\n/*\nThis is how the shader encodes a tensor with shape = [2, 3, 5]\n(indices are [batch, row, col]).\n\n000|001   002|003   004|xxx   020|021   022|023   024|xxx\n-------   -------   -------   -------   -------   -------\n010|011   012|013   014|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\n100|101   102|103   104|xxx   120|121   122|123   124|xxx\n-------   -------   -------   -------   -------   -------\n110|111   112|113   114|xxx   xxx|xxx   xxx|xxx   xxx|xxx\n\nSingle texels contain only values from the same batch, and from adjacent rows\nand columns.\n */\n\nexport class EncodeMatrixPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape: [number, number, number], texShape: [number, number],\n      inputIsUnsignedByte = false) {\n    const glsl = getGlslDifferences();\n    const [height, width] = texShape;\n    this.outputShape = outputShape;\n\n    let mainLoop = '';\n    let output = 'result';\n    if (inputIsUnsignedByte) {\n      output = 'floor(result * 255. + 0.5)';\n    }\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        const channel = row * 2 + col;\n\n        mainLoop += `\n          localCoords = coords;\n          if(localCoords[2] + ${col} < ${outputShape[2]}) {\n            localCoords[2] += ${col};\n            if(localCoords[1] + ${row} < ${outputShape[1]}) {\n              localCoords[1] += ${row};\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / ${width};\n              c = imod(flatIndex, ${width});\n              uv = (vec2(c, r) + halfCR) / vec2(${width}.0, ${height}.0);\n              values = ${glsl.texture2D}(A, uv);\n\n              if(offset == 0) {\n                result[${channel}] = values[0];\n              } else if(offset == 1) {\n                result[${channel}] = values[1];\n              } else if(offset == 2) {\n                result[${channel}] = values[2];\n              } else {\n                result[${channel}] = values[3];\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        ${mainLoop}\n\n        ${glsl.output} = ${output};\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const COMPLEX_FFT = {\n  REAL: 'return real * expR - imag * expI;',\n  IMAG: 'return real * expI + imag * expR;'\n};\n\nexport class FFTProgram implements GPGPUProgram {\n  variableNames = ['real', 'imag'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(op: string, inputShape: [number, number], inverse: boolean) {\n    const innerDim = inputShape[1];\n    this.outputShape = inputShape;\n\n    const exponentMultiplierSnippet =\n        inverse ? `2.0 * ${Math.PI}` : `-2.0 * ${Math.PI}`;\n    const resultDenominator = inverse ? `${innerDim}.0` : '1.0';\n\n    this.userCode = `\n      const float exponentMultiplier = ${exponentMultiplierSnippet};\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        ${op}\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float(${innerDim});\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < ${innerDim}; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / ${resultDenominator};\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class FillProgram implements GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[] = [];\n  userCode: string;\n\n  valueLoc: WebGLUniformLocation;\n\n  constructor(shape: number[], value: number) {\n    this.variableNames = ['x'];\n    this.outputShape = shape;\n\n    this.userCode = `\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(value: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.valueLoc == null) {\n        this.valueLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'value');\n      }\n      gpgpu.gl.uniform1f(this.valueLoc, value);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherProgram implements GPGPUProgram {\n  variableNames = ['A', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], indicesLength: number, axis: number) {\n    const outputShape: number[] = aShape.slice();\n    outputShape[axis] = indicesLength;\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape, axis);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[], axis: number): string {\n  const rank = aShape.length;\n  if (rank > 4) {\n    throw Error(`Gather for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `int(getIndices(resRC))`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    if (i === axis) {\n      sourceCoords.push(`int(getIndices(${currentCoords[i]}))`);\n    } else {\n      sourceCoords.push(`${currentCoords[i]}`);\n    }\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class GatherNDProgram implements GPGPUProgram {\n  variableNames = ['x', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  constructor(\n      private sliceDim: number, private strides: number[], shape: number[]) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    const strideString = this.sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${this.strides});\n         void main() {\n          ${dtype} coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < ${this.sliceDim}; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * ${strideString};\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PixelData, TypedArray} from '../../types';\n\nimport {getGlslDifferences} from './glsl_version';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport * as webgl_util from './webgl_util';\n\nexport function createVertexShader(\n    gl: WebGLRenderingContext, debug: boolean): WebGLShader {\n  const glsl = getGlslDifferences();\n  const vertexShaderSource = `${glsl.version}\n    precision highp float;\n    ${glsl.attribute} vec3 clipSpacePos;\n    ${glsl.attribute} vec2 uv;\n    ${glsl.varyingVs} vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }`;\n  return webgl_util.createVertexShader(gl, debug, vertexShaderSource);\n}\n\nexport function createVertexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // [x y z u v] * [upper-left, lower-left, upper-right, lower-right]\n  const vertexArray = new Float32Array(\n      [-1, 1, 0, 0, 1, -1, -1, 0, 0, 0, 1, 1, 0, 1, 1, 1, -1, 0, 1, 0]);\n  return webgl_util.createStaticVertexBuffer(gl, debug, vertexArray);\n}\n\nexport function createIndexBuffer(\n    gl: WebGLRenderingContext, debug: boolean): WebGLBuffer {\n  // OpenGL (and WebGL) have \"CCW == front\" winding\n  const triangleVertexIndices = new Uint16Array([0, 1, 2, 2, 1, 3]);\n  return webgl_util.createStaticIndexBuffer(gl, debug, triangleVertexIndices);\n}\n\nfunction createAndConfigureTexture(\n    gl: WebGLRenderingContext, debug: boolean, width: number, height: number,\n    internalFormat: number, textureFormat: number,\n    textureType: number): WebGLTexture {\n  webgl_util.validateTextureSize(width, height);\n  const texture = webgl_util.createTexture(gl, debug);\n\n  const tex2d = gl.TEXTURE_2D;\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(tex2d, texture));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MIN_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texParameteri(tex2d, gl.TEXTURE_MAG_FILTER, gl.NEAREST));\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          tex2d, 0, internalFormat, width, height, 0, textureFormat,\n          textureType, null));\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n  return texture;\n}\n\nexport function createFloat32MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatFloat,\n      textureConfig.textureFormatFloat, gl.FLOAT);\n}\n\nexport function createFloat16MatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatHalfFloat,\n      textureConfig.textureFormatFloat, textureConfig.textureTypeHalfFloat);\n}\n\nexport function createUnsignedBytesMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE);\n}\n\nexport function createPackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedFloat,\n      gl.RGBA, gl.FLOAT);\n}\n\nexport function createFloat16PackedMatrixTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLTexture {\n  const [width, height] =\n      tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n  return createAndConfigureTexture(\n      gl, debug, width, height, textureConfig.internalFormatPackedHalfFloat,\n      gl.RGBA, textureConfig.textureTypeHalfFloat);\n}\n\nexport function bindVertexProgramAttributeStreams(\n    gl: WebGLRenderingContext, debug: boolean, program: WebGLProgram,\n    vertexBuffer: WebGLBuffer): boolean {\n  const posOffset = 0;               // x is the first buffer element\n  const uvOffset = 3 * 4;            // uv comes after [x y z]\n  const stride = (3 * 4) + (2 * 4);  // xyz + uv, each entry is 4-byte float.\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, vertexBuffer));\n  const success = webgl_util.bindVertexBufferToProgramAttribute(\n      gl, debug, program, 'clipSpacePos', vertexBuffer, 3, stride, posOffset);\n  return success &&\n      webgl_util.bindVertexBufferToProgramAttribute(\n          gl, debug, program, 'uv', vertexBuffer, 2, stride, uvOffset);\n}\n\nexport function uploadDenseMatrixToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    width: number, height: number, data: TypedArray,\n    textureConfig: TextureConfig) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n\n  let dataForUpload: TypedArray, texelDataType: number, internalFormat: number;\n  if (data instanceof Uint8Array) {\n    dataForUpload = new Uint8Array(width * height * 4);\n    texelDataType = gl.UNSIGNED_BYTE;\n    internalFormat = gl.RGBA;\n  } else {\n    dataForUpload = new Float32Array(width * height * 4);\n    texelDataType = gl.FLOAT;\n    internalFormat = textureConfig.internalFormatPackedFloat;\n  }\n\n  dataForUpload.set(data);\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.texImage2D(\n          gl.TEXTURE_2D, 0, internalFormat, width, height, 0, gl.RGBA,\n          texelDataType, dataForUpload));\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function uploadPixelDataToTexture(\n    gl: WebGLRenderingContext, debug: boolean, texture: WebGLTexture,\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement) {\n  webgl_util.callAndCheck(\n      gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, texture));\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, pixels.width, pixels.height, 0, gl.RGBA,\n            gl.UNSIGNED_BYTE, (pixels as PixelData).data));\n  } else {\n    webgl_util.callAndCheck(\n        gl, debug,\n        () => gl.texImage2D(\n            gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE,\n            pixels as ImageData | HTMLImageElement | HTMLCanvasElement |\n                HTMLVideoElement));\n  }\n\n  webgl_util.callAndCheck(gl, debug, () => gl.bindTexture(gl.TEXTURE_2D, null));\n}\n\nexport function createBufferFromOutputTexture(\n    gl2: WebGL2RenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig): WebGLBuffer {\n  // Create and bind the buffer.\n  const buffer = gl2.createBuffer();\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer));\n\n  // Initialize the buffer to the size of the texture in bytes.\n  const bytesPerFloat = 4;\n  const valuesPerTexel = 4;\n  const bufferSizeBytes = bytesPerFloat * valuesPerTexel * rows * columns;\n\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.bufferData(\n          gl2.PIXEL_PACK_BUFFER, bufferSizeBytes, gl2.STREAM_READ));\n\n  // Enqueue a command on the GPU command queue to copy of texture into the\n  // buffer.\n  webgl_util.callAndCheck(\n      gl2, debug,\n      () => gl2.readPixels(0, 0, columns, rows, gl2.RGBA, gl2.FLOAT, 0));\n\n  webgl_util.callAndCheck(\n      gl2, debug, () => gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null));\n\n  return buffer;\n}\n\nexport function downloadFloat32MatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer,\n    size: number): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget = new Float32Array(size);\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadByteEncodedFloatMatrixFromOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, rows: number, columns: number,\n    textureConfig: TextureConfig) {\n  const [w, h] =\n      tex_util.getUnpackedMatrixTextureShapeWidthHeight(rows, columns);\n\n  const numChannels = 4;\n  const downloadTarget = new Uint8Array(\n      tex_util.getUnpackedArraySizeFromMatrixSize(rows * columns, numChannels));\n\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, w, h, textureConfig.downloadTextureFormat, gl.UNSIGNED_BYTE,\n          downloadTarget));\n\n  // By wrapping the buffer in a Float32Array, we use native browser IEEE 754\n  // decoding of the 4 bytes that back each 32 bit float.\n  return new Float32Array(downloadTarget.buffer);\n}\n\nexport function downloadPackedMatrixFromBuffer(\n    gl: WebGLRenderingContext, buffer: WebGLBuffer, batch: number, rows: number,\n    cols: number, physicalRows: number, physicalCols: number,\n    textureConfig: TextureConfig): Float32Array {\n  const gl2 = gl as WebGL2RenderingContext;\n\n  const downloadTarget =\n      new Float32Array(tex_util.getPackedRGBAArraySizeFromMatrixShape(\n          physicalRows, physicalCols));\n\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, buffer);\n  gl2.getBufferSubData(gl2.PIXEL_PACK_BUFFER, 0, downloadTarget);\n  gl2.bindBuffer(gl2.PIXEL_PACK_BUFFER, null);\n\n  return downloadTarget;\n}\n\nexport function downloadMatrixFromPackedOutputTexture(\n    gl: WebGLRenderingContext, debug: boolean, physicalRows: number,\n    physicalCols: number): Float32Array {\n  const packedRGBA = new Float32Array(physicalRows * physicalCols * 4);\n  webgl_util.callAndCheck(\n      gl, debug,\n      () => gl.readPixels(\n          0, 0, physicalCols, physicalRows, gl.RGBA, gl.FLOAT, packedRGBA));\n\n  return packedRGBA;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {PixelData, TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {getWebGLContext, setWebGLContext} from './canvas_util';\nimport * as gpgpu_util from './gpgpu_util';\nimport * as tex_util from './tex_util';\nimport {TextureConfig} from './tex_util';\nimport {WebGL1DisjointQueryTimerExtension, WebGL2DisjointQueryTimerExtension} from './webgl_types';\nimport * as webgl_util from './webgl_util';\n\nexport interface FenceContext {\n  query: WebGLQuery|WebGLSync;\n  isFencePassed(): boolean;\n}\n\nexport class GPGPUContext {\n  gl: WebGLRenderingContext;\n  textureFloatExtension: {};\n  textureHalfFloatExtension: {};\n  colorBufferFloatExtension: {};\n  colorBufferHalfFloatExtension: {};\n  disjointQueryTimerExtension: WebGL2DisjointQueryTimerExtension|\n      WebGL1DisjointQueryTimerExtension;\n  vertexBuffer: WebGLBuffer;\n  indexBuffer: WebGLBuffer;\n  framebuffer: WebGLFramebuffer;\n  outputTexture: WebGLTexture|null = null;\n  program: WebGLProgram|null = null;\n  private disposed = false;\n  private disjoint: boolean;\n  private textureConfig: TextureConfig;\n\n  constructor(gl?: WebGLRenderingContext) {\n    const glVersion = env().getNumber('WEBGL_VERSION');\n    if (gl != null) {\n      this.gl = gl;\n      setWebGLContext(glVersion, gl);\n    } else {\n      this.gl = getWebGLContext(glVersion);\n    }\n    // WebGL 2.0 enables texture floats without an extension.\n    let COLOR_BUFFER_FLOAT = 'WEBGL_color_buffer_float';\n    const COLOR_BUFFER_HALF_FLOAT = 'EXT_color_buffer_half_float';\n    if (env().getNumber('WEBGL_VERSION') === 1) {\n      const TEXTURE_FLOAT = 'OES_texture_float';\n      const TEXTURE_HALF_FLOAT = 'OES_texture_half_float';\n\n      this.textureFloatExtension =\n          webgl_util.getExtensionOrThrow(this.gl, this.debug, TEXTURE_FLOAT);\n      if (webgl_util.hasExtension(this.gl, TEXTURE_HALF_FLOAT)) {\n        this.textureHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, TEXTURE_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support half float textures, yet the ' +\n            'environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n\n      this.colorBufferFloatExtension = this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension = webgl_util.getExtensionOrThrow(\n            this.gl, this.debug, COLOR_BUFFER_HALF_FLOAT);\n      } else if (env().get('WEBGL_FORCE_F16_TEXTURES')) {\n        throw new Error(\n            'GL context does not support color renderable half floats, yet ' +\n            'the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.');\n      }\n    } else {\n      COLOR_BUFFER_FLOAT = 'EXT_color_buffer_float';\n      if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_FLOAT)) {\n        this.colorBufferFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_FLOAT);\n      } else if (webgl_util.hasExtension(this.gl, COLOR_BUFFER_HALF_FLOAT)) {\n        this.colorBufferHalfFloatExtension =\n            this.gl.getExtension(COLOR_BUFFER_HALF_FLOAT);\n      } else {\n        throw new Error('GL context does not support color renderable floats');\n      }\n    }\n\n    this.vertexBuffer = gpgpu_util.createVertexBuffer(this.gl, this.debug);\n    this.indexBuffer = gpgpu_util.createIndexBuffer(this.gl, this.debug);\n    this.framebuffer = webgl_util.createFramebuffer(this.gl, this.debug);\n\n    this.textureConfig =\n        tex_util.getTextureConfig(this.gl, this.textureHalfFloatExtension);\n  }\n\n  private get debug(): boolean {\n    return env().getBool('DEBUG');\n  }\n\n  public dispose() {\n    if (this.disposed) {\n      return;\n    }\n    if (this.program != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound WebGLProgram.' +\n          ' This is probably a resource leak, delete the program with ' +\n          'GPGPUContext.deleteProgram before disposing.');\n    }\n    if (this.outputTexture != null) {\n      console.warn(\n          'Disposing a GPGPUContext that still has a bound output matrix ' +\n          'texture.  This is probably a resource leak, delete the output ' +\n          'matrix texture with GPGPUContext.deleteMatrixTexture before ' +\n          'disposing.');\n    }\n    const gl = this.gl;\n    webgl_util.callAndCheck(gl, this.debug, () => gl.finish());\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindFramebuffer(gl.FRAMEBUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteFramebuffer(this.framebuffer));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, null));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.deleteBuffer(this.indexBuffer));\n    this.disposed = true;\n  }\n\n  public createFloat32MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat32MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createFloat16MatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16MatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createUnsignedBytesMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createUnsignedBytesMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public uploadPixelDataToTexture(\n      texture: WebGLTexture,\n      pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadPixelDataToTexture(this.gl, this.debug, texture, pixels);\n  }\n\n  public uploadDenseMatrixToTexture(\n      texture: WebGLTexture, width: number, height: number, data: TypedArray) {\n    this.throwIfDisposed();\n    gpgpu_util.uploadDenseMatrixToTexture(\n        this.gl, this.debug, texture, width, height, data, this.textureConfig);\n  }\n\n  public createFloat16PackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createFloat16PackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public createPackedMatrixTexture(rows: number, columns: number):\n      WebGLTexture {\n    this.throwIfDisposed();\n    return gpgpu_util.createPackedMatrixTexture(\n        this.gl, this.debug, rows, columns, this.textureConfig);\n  }\n\n  public deleteMatrixTexture(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    if (this.outputTexture === texture) {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n      this.outputTexture = null;\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.deleteTexture(texture));\n  }\n\n  public downloadByteEncodedFloatMatrixFromOutputTexture(\n      texture: WebGLTexture, rows: number, columns: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadByteEncodedFloatMatrixFromOutputTexture(\n            this.gl, this.debug, rows, columns, this.textureConfig));\n  }\n\n  public downloadPackedMatrixFromBuffer(\n      buffer: WebGLBuffer, batch: number, rows: number, columns: number,\n      physicalRows: number, physicalCols: number): Float32Array {\n    return gpgpu_util.downloadPackedMatrixFromBuffer(\n        this.gl, buffer, batch, rows, columns, physicalRows, physicalCols,\n        this.textureConfig);\n  }\n\n  public downloadFloat32MatrixFromBuffer(buffer: WebGLBuffer, size: number):\n      Float32Array {\n    return gpgpu_util.downloadFloat32MatrixFromBuffer(this.gl, buffer, size);\n  }\n\n  public createBufferFromTexture(\n      texture: WebGLTexture, rows: number, columns: number): WebGLBuffer {\n    this.bindTextureToFrameBuffer(texture);\n    const result = gpgpu_util.createBufferFromOutputTexture(\n        this.gl as WebGL2RenderingContext, this.debug, rows, columns,\n        this.textureConfig);\n    this.unbindTextureToFrameBuffer();\n    return result;\n  }\n\n  public createAndWaitForFence(): Promise<void> {\n    const fenceContext = this.createFence(this.gl);\n    return this.pollFence(fenceContext);\n  }\n\n  private createFence(gl: WebGLRenderingContext): FenceContext {\n    let query: WebGLQuery|WebGLSync;\n    let isFencePassed: () => boolean;\n\n    if (env().getBool('WEBGL_FENCE_API_ENABLED')) {\n      const gl2 = gl as WebGL2RenderingContext;\n\n      const sync = gl2.fenceSync(gl2.SYNC_GPU_COMMANDS_COMPLETE, 0);\n      gl.flush();\n\n      isFencePassed = () => {\n        const status = gl2.clientWaitSync(sync, 0, 0);\n        return status === gl2.ALREADY_SIGNALED ||\n            status === gl2.CONDITION_SATISFIED;\n      };\n\n      query = sync;\n    } else if (\n        env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') > 0) {\n      query = this.beginQuery();\n      this.endQuery();\n      isFencePassed = () => this.isQueryAvailable(\n          query,\n          env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n    } else {\n      // If we have no way to fence, return true immediately. This will fire in\n      // WebGL 1.0 when there is no disjoint query timer. In this case, because\n      // the fence passes immediately, we'll immediately ask for a download of\n      // the texture, which will cause the UI thread to hang.\n      isFencePassed = () => true;\n    }\n\n    return {query, isFencePassed};\n  }\n\n  public downloadMatrixFromPackedTexture(\n      texture: WebGLTexture, physicalRows: number,\n      physicalCols: number): Float32Array {\n    return this.downloadMatrixDriver(\n        texture,\n        () => gpgpu_util.downloadMatrixFromPackedOutputTexture(\n            this.gl, this.debug, physicalRows, physicalCols));\n  }\n\n  private vertexAttrsAreBound = false;\n\n  public createProgram(fragmentShaderSource: string): WebGLProgram {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    const fragmentShader: WebGLShader =\n        webgl_util.createFragmentShader(gl, this.debug, fragmentShaderSource);\n    const vertexShader: WebGLShader =\n        gpgpu_util.createVertexShader(gl, this.debug);\n    const program: WebGLProgram = webgl_util.createProgram(\n        gl,\n        this.debug,\n    );\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, vertexShader));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.attachShader(program, fragmentShader));\n    webgl_util.linkProgram(gl, this.debug, program);\n    if (this.debug) {\n      webgl_util.validateProgram(gl, this.debug, program);\n    }\n    if (!this.vertexAttrsAreBound) {\n      this.setProgram(program);\n      this.vertexAttrsAreBound = gpgpu_util.bindVertexProgramAttributeStreams(\n          gl, this.debug, this.program, this.vertexBuffer);\n    }\n    return program;\n  }\n\n  public deleteProgram(program: WebGLProgram) {\n    this.throwIfDisposed();\n    if (program === this.program) {\n      this.program = null;\n    }\n    if (program != null) {\n      webgl_util.callAndCheck(\n          this.gl, this.debug, () => this.gl.deleteProgram(program));\n    }\n  }\n\n  public setProgram(program: WebGLProgram|null) {\n    this.throwIfDisposed();\n    this.program = program;\n    if ((this.program != null) && this.debug) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.useProgram(program));\n  }\n\n  public getUniformLocation(\n      program: WebGLProgram, uniformName: string,\n      shouldThrow = true): WebGLUniformLocation {\n    this.throwIfDisposed();\n    if (shouldThrow) {\n      return webgl_util.getProgramUniformLocationOrThrow(\n          this.gl, this.debug, program, uniformName);\n    } else {\n      return webgl_util.getProgramUniformLocation(\n          this.gl, program, uniformName);\n    }\n  }\n\n  public getAttributeLocation(program: WebGLProgram, attribute: string):\n      number {\n    this.throwIfDisposed();\n    return webgl_util.callAndCheck(\n        this.gl, this.debug,\n        () => this.gl.getAttribLocation(program, attribute));\n  }\n\n  public getUniformLocationNoThrow(program: WebGLProgram, uniformName: string):\n      WebGLUniformLocation {\n    this.throwIfDisposed();\n    return this.gl.getUniformLocation(program, uniformName);\n  }\n\n  public setInputMatrixTexture(\n      inputMatrixTexture: WebGLTexture, uniformLocation: WebGLUniformLocation,\n      textureUnit: number) {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    webgl_util.bindTextureToProgramUniformSampler(\n        this.gl, this.debug, this.program, inputMatrixTexture, uniformLocation,\n        textureUnit);\n  }\n\n  public setOutputMatrixTexture(\n      outputMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.setOutputMatrixTextureDriver(outputMatrixTexture, columns, rows);\n  }\n\n  public setOutputPackedMatrixTexture(\n      outputPackedMatrixTexture: WebGLTexture, rows: number, columns: number) {\n    this.throwIfDisposed();\n    const [width, height] =\n        tex_util.getPackedMatrixTextureShapeWidthHeight(rows, columns);\n    this.setOutputMatrixTextureDriver(outputPackedMatrixTexture, width, height);\n  }\n\n  public setOutputMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    this.setOutputMatrixWriteRegionDriver(\n        startColumn, startRow, numColumns, numRows);\n  }\n\n  public setOutputPackedMatrixWriteRegion(\n      startRow: number, numRows: number, startColumn: number,\n      numColumns: number) {\n    throw new Error('setOutputPackedMatrixWriteRegion not implemented.');\n  }\n\n  public debugValidate() {\n    if (this.program != null) {\n      webgl_util.validateProgram(this.gl, this.debug, this.program);\n    }\n    webgl_util.validateFramebuffer(this.gl);\n  }\n\n  public executeProgram() {\n    this.throwIfDisposed();\n    this.throwIfNoProgram();\n    const gl = this.gl;\n    if (this.debug) {\n      this.debugValidate();\n    }\n    webgl_util.callAndCheck(\n        gl, this.debug,\n        () => gl.drawElements(gl.TRIANGLES, 6, gl.UNSIGNED_SHORT, 0));\n  }\n\n  public blockUntilAllProgramsCompleted() {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(this.gl, this.debug, () => this.gl.finish());\n  }\n\n  private getQueryTimerExtension(): WebGL1DisjointQueryTimerExtension\n      |WebGL2DisjointQueryTimerExtension {\n    if (this.disjointQueryTimerExtension == null) {\n      this.disjointQueryTimerExtension =\n          webgl_util.getExtensionOrThrow(\n              this.gl, this.debug,\n              env().getNumber(\n                  'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2 ?\n                  'EXT_disjoint_timer_query_webgl2' :\n                  'EXT_disjoint_timer_query') as\n              WebGL1DisjointQueryTimerExtension |\n          WebGL2DisjointQueryTimerExtension;\n    }\n    return this.disjointQueryTimerExtension;\n  }\n\n  private getQueryTimerExtensionWebGL2(): WebGL2DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension();\n  }\n\n  private getQueryTimerExtensionWebGL1(): WebGL1DisjointQueryTimerExtension {\n    return this.getQueryTimerExtension() as WebGL1DisjointQueryTimerExtension;\n  }\n\n  beginQuery(): WebGLQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const query = gl2.createQuery();\n      gl2.beginQuery(ext.TIME_ELAPSED_EXT, query);\n      return query;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    const query = ext.createQueryEXT() as WebGLQuery;\n    ext.beginQueryEXT(ext.TIME_ELAPSED_EXT, query);\n    return query;\n  }\n\n  endQuery() {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION') === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n      gl2.endQuery(ext.TIME_ELAPSED_EXT);\n      return;\n    }\n    const ext = this.getQueryTimerExtensionWebGL1();\n    ext.endQueryEXT(ext.TIME_ELAPSED_EXT);\n  }\n\n  public async waitForQueryAndGetTime(query: WebGLQuery): Promise<number> {\n    await util.repeatedTry(\n        () => this.disposed ||  // while testing contexts are created / disposed\n                                // in rapid succession, so without this check we\n                                // may poll for the query timer indefinitely\n            this.isQueryAvailable(\n                query,\n                env().getNumber(\n                    'WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION')));\n    return this.getQueryTime(\n        query, env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION'));\n  }\n\n  private getQueryTime(query: WebGLQuery, queryTimerVersion: number): number {\n    if (queryTimerVersion === 0) {\n      return null;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n\n      const timeElapsedNanos = gl2.getQueryParameter(query, gl2.QUERY_RESULT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const timeElapsedNanos =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_EXT);\n      // Return milliseconds.\n      return timeElapsedNanos / 1000000;\n    }\n  }\n\n  private isQueryAvailable(query: WebGLQuery, queryTimerVersion: number):\n      boolean {\n    if (queryTimerVersion === 0) {\n      return true;\n    }\n\n    if (queryTimerVersion === 2) {\n      const gl2 = this.gl as WebGL2RenderingContext;\n      const ext = this.getQueryTimerExtensionWebGL2();\n\n      const available =\n          gl2.getQueryParameter(query, gl2.QUERY_RESULT_AVAILABLE);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    } else {\n      const ext = this.getQueryTimerExtensionWebGL1();\n\n      const available =\n          ext.getQueryObjectEXT(query, ext.QUERY_RESULT_AVAILABLE_EXT);\n      if (this.disjoint == null) {\n        this.disjoint = this.gl.getParameter(ext.GPU_DISJOINT_EXT);\n      }\n\n      return available && !this.disjoint;\n    }\n  }\n\n  pollFence(fenceContext: FenceContext) {\n    return new Promise<void>(resolve => {\n      this.addItemToPoll(() => fenceContext.isFencePassed(), () => resolve());\n    });\n  }\n\n  private itemsToPoll: PollItem[] = [];\n\n  pollItems(): void {\n    // Find the last query that has finished.\n    const index = linearSearchLastTrue(this.itemsToPoll.map(x => x.isDoneFn));\n    for (let i = 0; i <= index; ++i) {\n      const {resolveFn} = this.itemsToPoll[i];\n      resolveFn();\n    }\n    this.itemsToPoll = this.itemsToPoll.slice(index + 1);\n  }\n\n  private addItemToPoll(isDoneFn: () => boolean, resolveFn: () => void) {\n    this.itemsToPoll.push({isDoneFn, resolveFn});\n    if (this.itemsToPoll.length > 1) {\n      // We already have a running loop that polls.\n      return;\n    }\n    // Start a new loop that polls.\n    util.repeatedTry(() => {\n      this.pollItems();\n      // End the loop if no more items to poll.\n      return this.itemsToPoll.length === 0;\n    });\n  }\n\n  private bindTextureToFrameBuffer(texture: WebGLTexture) {\n    this.throwIfDisposed();\n    webgl_util.bindColorTextureToFramebuffer(\n        this.gl, this.debug, texture, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(this.gl);\n    }\n  }\n\n  private unbindTextureToFrameBuffer() {\n    if (this.outputTexture != null) {\n      webgl_util.bindColorTextureToFramebuffer(\n          this.gl, this.debug, this.outputTexture, this.framebuffer);\n      if (this.debug) {\n        webgl_util.validateFramebuffer(this.gl);\n      }\n    } else {\n      webgl_util.unbindColorTextureFromFramebuffer(\n          this.gl, this.debug, this.framebuffer);\n    }\n  }\n\n  private downloadMatrixDriver(\n      texture: WebGLTexture,\n      downloadAndDecode: () => Float32Array): Float32Array {\n    this.bindTextureToFrameBuffer(texture);\n    const result = downloadAndDecode();\n    this.unbindTextureToFrameBuffer();\n\n    return result;\n  }\n\n  private setOutputMatrixTextureDriver(\n      outputMatrixTextureMaybePacked: WebGLTexture, width: number,\n      height: number) {\n    this.throwIfDisposed();\n    const gl = this.gl;\n    webgl_util.bindColorTextureToFramebuffer(\n        gl, this.debug, outputMatrixTextureMaybePacked, this.framebuffer);\n    if (this.debug) {\n      webgl_util.validateFramebuffer(gl);\n    }\n    this.outputTexture = outputMatrixTextureMaybePacked;\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.viewport(0, 0, width, height));\n    webgl_util.callAndCheck(\n        gl, this.debug, () => gl.scissor(0, 0, width, height));\n  }\n\n  private setOutputMatrixWriteRegionDriver(\n      x: number, y: number, width: number, height: number) {\n    this.throwIfDisposed();\n    webgl_util.callAndCheck(\n        this.gl, this.debug, () => this.gl.scissor(x, y, width, height));\n  }\n\n  private throwIfDisposed() {\n    if (this.disposed) {\n      throw new Error('Attempted to use disposed GPGPUContext.');\n    }\n  }\n\n  private throwIfNoProgram() {\n    if (this.program == null) {\n      throw new Error('No GPU program is currently set.');\n    }\n  }\n}\n\ntype PollItem = {\n  isDoneFn: () => boolean,\n  resolveFn: () => void\n};\n\n/**\n * Finds the index of the last true element using linear search.\n * Note: We can't do binary search because Chrome expects us to explicitly\n * test all fences before download:\n * https://github.com/tensorflow/tfjs/issues/1145\n */\nexport function linearSearchLastTrue(arr: Array<() => boolean>): number {\n  let i = 0;\n  for (; i < arr.length; ++i) {\n    const isDone = arr[i]();\n    if (!isDone) {\n      break;\n    }\n  }\n  return i - 1;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\nimport {Tensor} from '../../tensor';\nimport {TypedArray} from '../../types';\nimport * as util from '../../util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport * as shader_compiler from './shader_compiler';\nimport {InputInfo, ShapeInfo} from './shader_compiler';\nimport {PackingScheme, TextureData, TextureUsage} from './tex_util';\n\nexport interface GPGPUProgram {\n  variableNames: string[];\n  outputShape: number[];\n  userCode: string;\n  /** If true, this program expects packed input textures. Defaults to false. */\n  packedInputs?: boolean;\n  /** If true, this program produces a packed texture. Defaults to false. */\n  packedOutput?: boolean;\n  /**\n   * Affects what type of texture we allocate for the output. Defaults to\n   * `TextureUsage.RENDER`.\n   */\n  outTexUsage?: TextureUsage;\n  /**\n   * The type of scheme to use when packing texels for the output values.\n   * See `PackingScheme` for details. Defaults to `PackingScheme.SHARED_BATCH`.\n   */\n  outPackingScheme?: PackingScheme;\n}\n\nexport interface GPGPUBinary {\n  webGLProgram: WebGLProgram;\n  program: GPGPUProgram;\n  uniformLocations: {[name: string]: WebGLUniformLocation};\n  source: string;\n  inShapeInfos: ShapeInfo[];\n  outShapeInfo: ShapeInfo;\n  infLoc: WebGLUniformLocation;\n  nanLoc: WebGLUniformLocation;\n}\n\nexport interface TensorData {\n  shape: number[];\n  texData: TextureData;\n  isUniform: boolean;\n  // Available when we decide to upload as uniform instead of texture.\n  uniformValues?: TypedArray;\n}\n\nexport function compileProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, program: GPGPUProgram, inputs: TensorData[],\n    output: TensorData): GPGPUBinary {\n  const userCode = program.userCode;\n  const inputInfos: InputInfo[] = inputs.map((input, i) => {\n    const shapeInfo: ShapeInfo = {\n      logicalShape: input.shape,\n      texShape: input.isUniform ? null : input.texData.texShape,\n      isUniform: input.isUniform,\n      isPacked: input.isUniform ? false : input.texData.isPacked,\n      flatOffset: null\n    };\n    if (input.texData != null && input.texData.slice != null &&\n        input.texData.slice.flatOffset > 0) {\n      shapeInfo.flatOffset = input.texData.slice.flatOffset;\n    }\n    return {name: program.variableNames[i], shapeInfo};\n  });\n  const inShapeInfos = inputInfos.map(x => x.shapeInfo);\n  const outShapeInfo: ShapeInfo = {\n    logicalShape: output.shape,\n    texShape: output.texData.texShape,\n    isUniform: false,\n    isPacked: output.texData.isPacked,\n    flatOffset: null\n  };\n  const source = shader_compiler.makeShader(\n      inputInfos, outShapeInfo, userCode, program.packedInputs);\n\n  const webGLProgram = gpgpu.createProgram(source);\n\n  // Add special uniforms (NAN, INFINITY)\n  let infLoc: WebGLUniformLocation = null;\n  const nanLoc = gpgpu.getUniformLocation(webGLProgram, 'NAN', false);\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    infLoc = gpgpu.getUniformLocation(webGLProgram, 'INFINITY', false);\n  }\n\n  // Add user-defined uniforms\n  const uniformLocations: {[name: string]: WebGLUniformLocation} = {};\n  for (let i = 0; i < program.variableNames.length; i++) {\n    const varName = program.variableNames[i];\n    const shouldThrow = false;\n    uniformLocations[varName] =\n        gpgpu.getUniformLocation(webGLProgram, varName, shouldThrow);\n    uniformLocations[`offset${varName}`] =\n        gpgpu.getUniformLocation(webGLProgram, `offset${varName}`, shouldThrow);\n  }\n\n  return {\n    program,\n    source,\n    webGLProgram,\n    uniformLocations,\n    inShapeInfos,\n    outShapeInfo,\n    infLoc,\n    nanLoc,\n  };\n}\n\nfunction validateBinaryAndProgram(\n    shapeInfos: ShapeInfo[], inputs: TensorData[]) {\n  if (shapeInfos.length !== inputs.length) {\n    throw Error(\n        `Binary was compiled with ${shapeInfos.length} inputs, but ` +\n        `was executed with ${inputs.length} inputs`);\n  }\n\n  shapeInfos.forEach((s, i) => {\n    const shapeA = s.logicalShape;\n    const input = inputs[i];\n    const shapeB = input.shape;\n\n    if (!util.arraysEqual(shapeA, shapeB)) {\n      throw Error(\n          `Binary was compiled with different shapes than ` +\n          `the current args. Shapes ${shapeA} and ${shapeB} must match`);\n    }\n    // The input is uploaded as uniform.\n    if (s.isUniform && input.isUniform) {\n      return;\n    }\n\n    const texShapeA = s.texShape;\n    const texShapeB = input.isUniform ? null : input.texData.texShape;\n    if (!util.arraysEqual(texShapeA, texShapeB)) {\n      throw Error(\n          `Binary was compiled with different texture shapes than the` +\n          ` current args. Shape ${texShapeA} and ${texShapeB} must match`);\n    }\n  });\n}\n\nexport function runProgram<T extends Tensor, K extends Tensor>(\n    gpgpu: GPGPUContext, binary: GPGPUBinary, inputs: TensorData[],\n    output: TensorData,\n    customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) =>\n        void): void {\n  validateBinaryAndProgram(binary.inShapeInfos, inputs);\n  validateBinaryAndProgram([binary.outShapeInfo], [output]);\n\n  const outTex = output.texData.texture;\n  const outTexShape = output.texData.texShape;\n  if (output.texData.isPacked) {\n    gpgpu.setOutputPackedMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  } else {\n    gpgpu.setOutputMatrixTexture(outTex, outTexShape[0], outTexShape[1]);\n  }\n  gpgpu.setProgram(binary.webGLProgram);\n\n  // Set special uniforms (NAN, INFINITY)\n  if (env().getNumber('WEBGL_VERSION') === 1) {\n    if (binary.infLoc !== null) {\n      gpgpu.gl.uniform1f(binary.infLoc, Infinity);\n    }\n  }\n  if (binary.nanLoc !== null) {\n    gpgpu.gl.uniform1f(binary.nanLoc, NaN);\n  }\n\n  // Set user-defined inputs\n  inputs.forEach((input, i) => {\n    const varName = binary.program.variableNames[i];\n    const varLoc = binary.uniformLocations[varName];\n    const varOffsetLoc = binary.uniformLocations[`offset${varName}`];\n\n    if (varLoc == null) {\n      // The compiler inferred that this variable is not used in this shader.\n      return;\n    }\n\n    if (input.isUniform) {\n      // Upload the values of the tensor as uniform.\n      if (util.sizeFromShape(input.shape) < 2) {\n        gpgpu.gl.uniform1f(varLoc, input.uniformValues[0]);\n      } else {\n        let vals = input.uniformValues;\n        if (!(vals instanceof Float32Array)) {\n          vals = new Float32Array(vals);\n        }\n        gpgpu.gl.uniform1fv(varLoc, vals);\n      }\n      return;\n    }\n\n    // If the input was sliced, upload the flat offset index.\n    if (input.texData.slice != null && varOffsetLoc != null) {\n      gpgpu.gl.uniform1i(varOffsetLoc, input.texData.slice.flatOffset);\n    }\n\n    gpgpu.setInputMatrixTexture(input.texData.texture, varLoc, i);\n  });\n\n  if (customSetup != null) {\n    customSetup(gpgpu, binary.webGLProgram);\n  }\n  gpgpu.executeProgram();\n}\n\nexport function makeShaderKey(\n    program: GPGPUProgram, inputs: TensorData[], output: TensorData): string {\n  let keyInputs = '';\n  inputs.concat(output).forEach(x => {\n    const hasOffset = x.texData != null && x.texData.slice != null &&\n        x.texData.slice.flatOffset > 0;\n    const texShape = x.isUniform ? 'uniform' : x.texData.texShape;\n    keyInputs += `${x.shape}_${texShape}_${hasOffset}`;\n  });\n  const keyUserCode = program.userCode;\n  let key = program.constructor.name;\n  // Fast string concat. See https://jsperf.com/string-concatenation/14.\n  key += '_' + keyInputs + '_' + keyUserCode;\n  return key;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {getGlslDifferences} from './glsl_version';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Im2ColPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      outputShape: number[], inputShape: number[], convInfo: Conv2DInfo) {\n    this.outputShape = outputShape;\n\n    const {\n      filterWidth,\n      inChannels,\n      strideWidth,\n      strideHeight,\n      padInfo,\n      outWidth,\n      dilationWidth,\n      dilationHeight,\n      dataFormat\n    } = convInfo;\n    const {left, top} = padInfo;\n    const itemsPerBlockRow = inChannels * filterWidth;\n    const glsl = getGlslDifferences();\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const rowDim = isChannelsLast ? 0 : 1;\n    const colDim = isChannelsLast ? 1 : 2;\n\n    let unrolled = ``;\n\n    for (let row = 0; row <= 1; row++) {\n      for (let col = 0; col <= 1; col++) {\n        unrolled += `\n          blockIndex = rc.y + ${col};\n          pos = rc.x + ${row};\n\n          if(blockIndex < ${outputShape[1]} && pos < ${outputShape[0]}) {\n            offsetY = int(blockIndex / (${outWidth})) * ${strideHeight} - ${\n            top};\n            d0 = offsetY + ${dilationHeight} * (pos / ${itemsPerBlockRow});\n\n            if(d0 < ${inputShape[rowDim]} && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), ${outWidth}.) * ${\n            strideWidth}. - ${left}.);\n              d1 = offsetX + ${dilationWidth} * (int(mod(float(pos), ${\n            itemsPerBlockRow}.) / ${inChannels}.));\n\n              if(d1 < ${inputShape[colDim]} && d1 >= 0) {\n\n                ch = int(mod(float(pos), ${inChannels}.));\n\n                if (${isChannelsLast}) {\n                  innerDims = vec2(d1, ch);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[${row * 2 + col}] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        `;\n      }\n    }\n\n    this.userCode = `\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        ${unrolled}\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -${rad}; j <= ${rad}; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ${maxD}) {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ${powOperator};\n        setOutput(val);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNGradProgram implements GPGPUProgram {\n  variableNames = ['inputImage', 'outputImage', 'dy'];\n  outputShape: number[] = [];\n  userCode: string;\n  depthRadius: number;\n  bias: number;\n  alpha: number;\n  beta: number;\n  depth: number;\n\n  constructor(\n      inputShape: number[], depthRadius: number, bias: number, alpha: number,\n      beta: number) {\n    this.outputShape = inputShape;\n    this.depth = inputShape[3];\n    this.depthRadius = depthRadius;\n    this.bias = bias;\n    this.alpha = alpha;\n    this.beta = beta;\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < ${this.depth}; ++d) {\n          int depthBegin = int(max(0.0, float(d - ${depthRadius})));\n          int depthEnd = int(min(float(${this.depth}),\n              float(d + ${depthRadius} + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ${this.depth};\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float(${alpha}) * norm + float(${bias});\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float(${alpha})\n                * float(${beta})\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ${beta});\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class LRNPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[] = [];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(\n      xShape: number[], radius: number, bias: number, alpha: number,\n      beta: number) {\n    const rad = radius;\n    const maxD = xShape[3] - 1;\n    this.outputShape = xShape;\n\n    // optimize pow(bias + alpha * sum, -beta)\n    // src: https://github.com/tensorflow/tensorflow/..\n    // blob/26033a1644a9c4a5fbe3170ab2e864b6a4ccd4ca/..\n    // tensorflow/core/kernels/mkl_lrn_op.cc#L320\n    let powOperator;\n    const basis = `float(${bias}) + float(${alpha}) * sum`;\n    if (beta === 0.5) {\n      powOperator = `inversesqrt(${basis})`;\n    } else if (beta === 1.0) {\n      powOperator = `1.0/(${basis})`;\n    } else {\n      powOperator = `exp(log(${basis}) * float(-${beta}));`;\n    }\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < ${this.outputShape[3]};\n        bool hasNextRow = c < ${this.outputShape[2]};\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - ${rad};\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - ${rad}; j <= ${rad}; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${maxD}));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * ${powOperator};\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MaxPool2DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv2DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex = effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n          wR += ${dilationHeight}) {\n          float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n          if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ${effectiveFilterWidth}; wC++) {\n            float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n            if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = ${lastIndex} - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * ${effectiveFilterWidth} + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n\nexport class MaxPool3DBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy', 'maxPos'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(convInfo: Conv3DInfo) {\n    this.outputShape = convInfo.inShape;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n\n    const lastIndex =\n        effectiveFilterDepth * effectiveFilterHeight * effectiveFilterWidth - 1;\n    this.userCode = `\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n           wD += ${dilationDepth}) {\n          float dyD = float(dyDCorner + wD) / ${strideDepth}.0;\n\n          if (dyD < 0.0 || dyD >= ${convInfo.outDepth}.0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            float dyR = float(dyRCorner + wR) / ${strideHeight}.0;\n\n            if (dyR < 0.0 || dyR >= ${convInfo.outHeight}.0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              float dyC = float(dyCCorner + wC) / ${strideWidth}.0;\n\n              if (dyC < 0.0 || dyC >= ${convInfo.outWidth}.0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = ${lastIndex} -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                  wR * ${effectiveFilterWidth} + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MatMulPackedProgram implements GPGPUProgram {\n  variableNames = ['matrixA', 'matrixB'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      aShape: [number, number, number], outputShape: [number, number, number],\n      transposeA = false, transposeB = false, addBias = false,\n      activation: string = null, hasPreluActivation = false) {\n    this.outputShape = outputShape;\n\n    const sharedDim = transposeA ? aShape[1] : aShape[2];\n    const sharedDimensionPacked = Math.ceil(sharedDim / 2);\n\n    const aSample = transposeA ? 'i * 2, rc.y' : 'rc.y, i * 2';\n    const bSample = transposeB ? 'rc.z, i * 2' : 'i * 2, rc.z';\n    const aSwizzle = transposeA ? ['a.xxyy', 'a.zzww'] : ['a.xxzz', 'a.yyww'];\n    const bSwizzle = transposeB ? ['b.xzxz', 'b.ywyw'] : ['b.xyxy', 'b.zwzw'];\n\n    let activationSnippet = '', applyActivationSnippet = '';\n    if (activation) {\n      if (hasPreluActivation) {\n        activationSnippet = `vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ${activation}\n        }`;\n      } else {\n        activationSnippet = `vec4 activation(vec4 x) {\n          ${activation}\n        }`;\n      }\n\n      applyActivationSnippet = `result = activation(result);`;\n    }\n\n    const addBiasSnippet = addBias ? 'result += getBiasAtOutCoords();' : '';\n    if (addBias) {\n      this.variableNames.push('bias');\n    }\n\n    if (hasPreluActivation) {\n      this.variableNames.push('preluActivationWeights');\n    }\n\n    this.userCode = `\n      ${activationSnippet}\n\n      const float sharedDimension = ${sharedDimensionPacked}.0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < ${sharedDimensionPacked}; i++) {\n          vec4 a = getMatrixA(rc.x, ${aSample});\n          vec4 b = getMatrixB(rc.x, ${bSample});\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += (${aSwizzle[0]} * ${bSwizzle[0]});\n          result += (${aSwizzle[1]} * ${bSwizzle[1]});\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        ${addBiasSnippet}\n\n        ${applyActivationSnippet}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class MultinomialProgram implements GPGPUProgram {\n  variableNames = ['probs'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(batchSize: number, numOutcomes: number, numSamples: number) {\n    this.outputShape = [batchSize, numSamples];\n\n    this.userCode = `\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < ${numOutcomes - 1}; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float(${numOutcomes - 1}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(seed: number) {\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.seedLoc == null) {\n        this.seedLoc = gpgpu.getUniformLocation(webGLProgram, 'seed');\n      }\n      gpgpu.gl.uniform1f(this.seedLoc, seed);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class OneHotProgram implements GPGPUProgram {\n  variableNames = ['indices'];\n  outputShape: number[];\n  userCode: string;\n\n  // Caching uniform location for speed.\n  seedLoc: WebGLUniformLocation;\n\n  constructor(\n      numIndices: number, depth: number, onValue: number, offValue: number) {\n    this.outputShape = [numIndices, depth];\n\n    this.userCode = `\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(${offValue}), float(${onValue}),\n                      float(index == coords.y)));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(\n      outputShape:\n          number[]) {  // TODO(https://github.com/tensorflow/tfjs/issues/893):\n                       // Only input / output 3D tensors.\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    if (rank === 0) {\n      this.userCode = `\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      `;\n    } else {\n      const channels = getChannels('rc', rank);\n      const dtype = getCoordsDataType(rank);\n      const outOfBoundsCondition =\n          getOutOfBoundsCondition(rank, outputShape, channels);\n      const setup = getSetup(\n          rank, outputShape[outputShape.length - 1],\n          outputShape[outputShape.length - 2], channels);\n      const output = getOutput(outputShape, channels);\n\n      this.userCode = `\n        void main() {\n          ${dtype} rc = getOutputCoords();\n\n          if(${outOfBoundsCondition}) {\n            setOutput(vec4(0));\n          } else {\n            ${setup}\n\n            setOutput(vec4(${output}));\n          }\n        }\n      `;\n    }\n  }\n}\n\nfunction getSourceCoordsArr(rank: number, dims: string[]): string[] {\n  const coords = [];\n\n  for (let row = 0; row <= 1; row++) {\n    for (let col = 0; col <= 1; col++) {\n      let coord = `${row === 0 ? 'r' : 'rp1'}, ${col === 0 ? 'c' : 'cp1'}`;\n\n      for (let d = 2; d < rank; d++) {\n        coord = `${dims[dims.length - 1 - d]},` + coord;\n      }\n\n      coords.push(coord);\n    }\n  }\n  return coords;\n}\n\nfunction getOutOfBoundsCondition(\n    rank: number, shape: number[], dims: string[]): string {\n  if (rank === 1) {\n    return `rc > ${shape[0]}`;\n  }\n\n  let cond = '';\n  for (let i = rank - 2; i < rank; i++) {\n    cond += `${dims[i]} >= ${shape[i]}`;\n    if (i < rank - 1) {\n      cond += '||';\n    }\n  }\n\n  return cond;\n}\n\nfunction getSetup(\n    rank: number, cols: number, rows: number, dims: string[]): string {\n  if (rank === 1) {\n    return '';\n  }\n\n  const innerDims = dims.slice(-2);\n\n  return `\n    int r = ${innerDims[0]};\n    int c = ${innerDims[1]};\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= ${cols};\n    bool rEdge = rp1 >= ${rows};\n  `;\n}\n\nfunction getOutput(shape: number[], dims: string[]): string {\n  const rank = shape.length;\n  const sourceCoords = getSourceCoordsArr(rank, dims);\n  if (rank === 1) {\n    return `getA(rc),\n            rc + 1 >= ${shape[0]} ? 0. : getA(rc + 1),\n            0, 0`;\n  }\n\n  return `getA(${sourceCoords[0]}),\n          cEdge ? 0. : getA(${sourceCoords[1]}),\n          rEdge ? 0. : getA(${sourceCoords[2]}),\n          rEdge || cEdge ? 0. : getA(${sourceCoords[3]})`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const type = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const unpackedCoords =\n        ['coords[0]', 'coords[1]', 'coords[2]', 'coords[3]'].slice(0, rank);\n\n    if (rank === 1) {\n      this.userCode = `\n        int start = ${start};\n        int end = ${end};\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float(${constantValue}));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      `;\n      return;\n    }\n    this.userCode = `\n      ${type} start = ${type}(${start});\n      ${type} end = ${type}(${end});\n\n      void main() {\n        ${type} outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float(${constantValue}));\n        } else {\n          ${type} coords = outC - start;\n          setOutput(getX(${unpackedCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class PadPackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      xShape: number[], paddings: Array<[number, number]>,\n      constantValue: number) {\n    this.outputShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + xShape[i] + p[1] /* afterPad */);\n    const rank = xShape.length;\n    const dtype = getCoordsDataType(rank);\n\n    const start = paddings.map(p => p[0]).join(',');\n    const end = paddings.map((p, i) => p[0] + xShape[i]).join(',');\n    const coords = getChannels('rc', rank);\n    const source = getChannels('source', rank);\n    const cLimit = `${coords[rank - 1]} < ${this.outputShape[rank - 1]}`;\n    const innerDims =\n        rank === 1 ? 'source' : `vec2(${source.slice(-2).join()})`;\n\n    const componentSetup = [\n      `${dtype} rc = outputLoc;`, `${coords[rank - 1]} += 1;\n       if(${cLimit}) {\n      `,\n      rank === 1 ? '' : `}\n       rc = outputLoc;\n       ${coords[rank - 2]} += 1;\n       if(${coords[rank - 2]} < ${this.outputShape[rank - 2]}) {`,\n      rank === 1 ? '' : `  ${coords[rank - 1]} += 1;\n         if(${cLimit}) {`\n    ];\n\n    const paddingArea = rank === 1 ?\n        'rc < start || rc >= end' :\n        'any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))';\n    let mainLoop = '';\n    for (let i = 0, j = rank === 1 ? 2 : 4; i < j; i++) {\n      mainLoop += `\n        ${componentSetup[i]}\n        if (${paddingArea}) {\n          result[${i}] = float(${constantValue});\n        } else {\n          ${dtype} source = rc - start;\n          result[${i}] = getChannel(getX(${source.join()}), ${innerDims});\n        }\n      `;\n    }\n    mainLoop += (rank === 1 ? `} ` : `}}`);\n\n    this.userCode = `\n      const ${dtype} start = ${dtype}(${start});\n      const ${dtype} end = ${dtype}(${end});\n\n      void main() {\n        ${dtype} outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ${mainLoop}\n        setOutput(result);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport {Conv3DInfo} from '../../ops/conv_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class Pool2DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv2DInfo, poolType: 'max'|'avg', computePositions: boolean,\n      flattenPositions = false, includeBatchInIndex = false) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n    const batchFlattenPositionStr = `((batch  * ${convInfo.inHeight} + xR) * ${\n        convInfo.inWidth} + xC) * ${convInfo.inChannels} + d`;\n    const flattenPositionStr =\n        `(xR * ${convInfo.inWidth} + xC) * ${convInfo.inChannels} + d`;\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n        const ivec2 pads = ivec2(${padTop}, ${padLeft});\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n              wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${effectiveFilterWidth};\n                wC += ${dilationWidth}) {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value ${compareOp} currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ${\n          flattenPositions ? (includeBatchInIndex ? batchFlattenPositionStr :\n                                                    flattenPositionStr) :\n                             `wR * ${effectiveFilterWidth} + wC`};\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec2 strides = ivec2(${strideHeight}, ${strideWidth});\n      const ivec2 pads = ivec2(${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ${convInfo.inHeight}) {\n            continue;\n          }\n\n          for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n            int xC = xCCorner + wC * ${dilationWidth};\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              getValue(batch, xR, xC + 3 * ${dilationWidth}, d)\n            );\n\n            ${updateSnippet}\n          }\n\n          int xC = xCCorner + ${filterWidthNearestVec4};\n          if (${filterWidthVec4Remainder === 1}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 2}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              initializationValue,\n              initializationValue\n            );\n\n            ${updateSnippet}\n          } else if (${filterWidthVec4Remainder === 3}) {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ${dilationWidth}, d),\n              getValue(batch, xR, xC + 2 * ${dilationWidth}, d),\n              initializationValue\n            );\n\n            ${updateSnippet}\n          }\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n\nexport class Pool3DProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      convInfo: Conv3DInfo, poolType: 'max'|'avg', computePositions: boolean,\n      flattenPositions = false, includeBatchInIndex = false) {\n    if (poolType === 'avg' && computePositions) {\n      throw new Error('Cannot compute positions for average pool.');\n    }\n\n    const filterWidth = convInfo.filterWidth;\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n    this.outputShape = convInfo.outShape;\n\n    const isAvgPool = poolType === 'avg';\n\n    let initializationValue = '0.0';\n    if (!isAvgPool) {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n    }\n\n    if (computePositions) {\n      const compareOp = '>=';\n\n      this.userCode = `\n        const ivec3 strides =\n            ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n        const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < ${effectiveFilterDepth};\n              wD += ${dilationDepth}) {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ${convInfo.inDepth}) {\n              continue;\n            }\n\n            for (int wR = 0; wR < ${effectiveFilterHeight};\n                wR += ${dilationHeight}) {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ${convInfo.inHeight}) {\n                continue;\n              }\n\n              for (int wC = 0; wC < ${effectiveFilterWidth};\n                  wC += ${dilationWidth}) {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ${convInfo.inWidth}) {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value ${compareOp} currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ${\n          flattenPositions ?\n              (includeBatchInIndex ?\n                   `(((batch * ${convInfo.inDepth} + xD) * ${\n                       convInfo.inHeight} + xR) * ${convInfo.inWidth} + xC) * ${\n                       convInfo.inChannels} + ch` :\n                   `((xD * ${convInfo.inHeight} + xR) * ${\n                       convInfo.inWidth} + xC) * ${convInfo.inChannels} + ch`) :\n              `wD * ${effectiveFilterHeight} * ${effectiveFilterWidth} +\n                      wR * ${effectiveFilterWidth} + wC`};\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      `;\n      return;\n    }\n\n    const compareOp = 'max';\n\n    let returnValue = `${poolType}(${poolType}(${poolType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n    if (poolType === 'avg') {\n      returnValue = `avgValue / count`;\n    }\n\n    const filterWidthNearestVec4 = Math.floor(filterWidth / 4) * 4;\n    const filterWidthVec4Remainder = filterWidth % 4;\n\n    const updateSnippet = `\n      if (${isAvgPool}) {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    this.userCode = `\n      const ivec3 strides =\n        ivec3(${strideDepth}, ${strideHeight}, ${strideWidth});\n      const ivec3 pads = ivec3(${padFront}, ${padTop}, ${padLeft});\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= ${convInfo.inWidth}) {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4(${initializationValue});\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ${effectiveFilterDepth};\n            wD += ${dilationDepth}) {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ${convInfo.inDepth}) {\n            continue;\n          }\n\n          for (int wR = 0; wR < ${effectiveFilterHeight};\n            wR += ${dilationHeight}) {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ${convInfo.inHeight}) {\n              continue;\n            }\n\n            for (int wC = 0; wC < ${filterWidthNearestVec4}; wC += 4) {\n              int xC = xCCorner + wC * ${dilationWidth};\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 3 * ${dilationWidth}, ch)\n              );\n\n              ${updateSnippet}\n            }\n\n            int xC = xCCorner + ${filterWidthNearestVec4};\n            if (${filterWidthVec4Remainder === 1}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 2}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ${updateSnippet}\n            } else if (${filterWidthVec4Remainder === 3}) {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ${dilationWidth}, ch),\n                getValue(batch, xD, xR, xC + 2 * ${dilationWidth}, ch),\n                initializationValue\n              );\n\n              ${updateSnippet}\n            }\n          }\n          setOutput(${returnValue});\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ReduceInfo} from '../../ops/reduce_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ReduceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      reduceInfo: ReduceInfo,\n      reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod') {\n    const windowSize = reduceInfo.windowSize;\n    const batchSize = reduceInfo.batchSize;\n    const inSize = reduceInfo.inSize;\n    const outSize = Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    let initializationValue = '0.0';\n    let compareOp = ``;\n\n    if (reduceType === 'prod') {\n      initializationValue = '1.0';\n    } else if (reduceType === 'min') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '1.0 / 1e-20';\n      compareOp = `min`;\n    } else if (reduceType === 'max') {\n      // WebGL on Firefox Linux can't compile 1/0 so we do 1/eps.\n      initializationValue = '-1.0 / 1e-20';\n      compareOp = `max`;\n    }\n\n    let returnValue = `${reduceType}(${reduceType}(${reduceType}(` +\n        'minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])';\n\n    if (reduceType === 'sum') {\n      returnValue = `sumValue`;\n    } else if (reduceType === 'prod') {\n      returnValue = `prodValue`;\n    } else if (reduceType === 'all') {\n      returnValue = `allValue`;\n    } else if (reduceType === 'any') {\n      returnValue = `anyValue`;\n    }\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    let updateSnippet = `\n      if (${reduceType === 'sum'}) {\n        sumValue += dot(values, ones);\n      } else if (${reduceType === 'prod'}) {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = ${compareOp}(values, minMaxValue);\n      }\n    `;\n\n    let vecType = `vec4`;\n\n    if (reduceType === 'all') {\n      initializationValue = '1.0';\n      updateSnippet = `\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    } else if (reduceType === 'any') {\n      initializationValue = '0.0';\n      updateSnippet = `\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      `;\n      vecType = `bvec4`;\n    }\n\n    let checkOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ${checkOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * ${windowSize};\n\n        vec4 minMaxValue = vec4(${initializationValue});\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          ${vecType} values = ${vecType}(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport * as shader_util from './shader_compiler_util';\n\nexport class ReshapePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: [number, number, number], inputShape: [\n    number, number, number\n  ]) {\n    this.outputShape = outputShape;\n\n    let mainLoop = ``;\n    for (let i = 0; i < 4; i++) {\n      let thisRC = `thisRC = rc;`;\n      if (i % 2 === 1) {\n        thisRC += `thisRC.z += 1;`;\n      }\n      if (i > 1) {\n        thisRC += `thisRC.y += 1;`;\n      }\n\n      mainLoop += `\n        ${thisRC}\n        ${i > 0 ? `if(thisRC.y < rows && thisRC.z < cols){` : ''}\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[${i}] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ${i > 0 ? '}' : ''}\n      `;\n    }\n\n    this.userCode = `\n      ${getReshapedInputCoords(inputShape)}\n      ${shader_util.getFlatIndexFrom3D(outputShape)}\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ${outputShape[1]};\n        int cols = ${outputShape[2]};\n\n        ${mainLoop}\n\n        setOutput(result);\n      }\n    `;\n  }\n}\n\nfunction getReshapedInputCoords(shape: [number, number, number]): string {\n  const coordsFromIndexSnippet =\n      shader_util.getLogicalCoordinatesFromFlatIndex(['r', 'c', 'd'], shape);\n\n  return `\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ${coordsFromIndexSnippet}\n      return ivec3(r, c, d);\n    }\n  `;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ${xHeight - 1}.0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), ${xWidth - 1}.0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeBilinearPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    this.userCode = `\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec3 inputShapeRC = vec3(${oldHeight}.0, ${oldWidth}.0,\n                                     ${oldWidth}.0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < ${depth - 1};\n        bool hasNextRow = coords.z < ${newWidth - 1};\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor4D} from '../../tensor';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeigborBackpropProgram implements GPGPUProgram {\n  variableNames = ['dy'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    this.outputShape = x.shape;\n    const [, xHeight, xWidth, ] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    // In the backwards pass, we want to find the pixels that were generated for\n    // each pixel in the input image the forward pass and add the corresponding\n    // coefficient from dy to the gradient (with some interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    this.userCode = `\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float(${heightScale});\n        const float widthScale = float(${widthScale});\n\n        const float invHeightScale = float(${invHeightScale});\n        const float invWidthScale = float(${invWidthScale});\n\n        const int winHeight = int(${winHeight});\n        const int winWidth = int(${winWidth});\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= ${yHeight}) {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= ${yWidth}) {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(${effectiveXSize[0]}) *\n                (float(dyR) / float(${effectiveYSize[0]}));\n\n            float sourceFracCol =\n                float(${effectiveXSize[1]}) *\n                  (float(dyC) / float(${effectiveYSize[1]}));\n\n            int sourceNearestRow = int(min(\n                float(int(${xHeight}) - 1),\n                ${alignCorners} ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(${xWidth}) - 1),\n                ${alignCorners} ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class ResizeNearestNeighborProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[] = [];\n  userCode: string;\n\n  constructor(\n      inputShape: [number, number, number, number], newHeight: number,\n      newWidth: number, alignCorners: boolean) {\n    const [batch, oldHeight, oldWidth, depth] = inputShape;\n    this.outputShape = [batch, newHeight, newWidth, depth];\n\n    const effectiveInSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    // When align corners is false, we rounds the value with floor.\n    const roundBase = alignCorners ? '0.5' : '0.0';\n\n    this.userCode = `\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ${effectiveInSize[0] / effectiveOutSize[0]},\n          ${effectiveInSize[1] / effectiveOutSize[1]});\n      const vec2 inputShapeRC = vec2(${oldHeight}.0, ${oldWidth}.0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${roundBase})));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReverseProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n\n    if (rank === 1) {\n      this.userCode = `\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(${xShape[0]} - coord - 1));\n        }\n      `;\n      return;\n    }\n    const getInCoord = (i: number) => {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - coords[${i}] - 1`;\n      }\n      return `coords[${i}]`;\n    };\n    const inCoords = xShape.map((_, i) => getInCoord(i)).join(',');\n    const type = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${type} coords = getOutputCoords();\n        setOutput(getX(${inCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google LLC All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ReversePackedProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(xShape: number[], axis: number[]) {\n    const rank = xShape.length;\n    if (rank > 4) {\n      throw new Error(\n          `WebGL backend: Reverse of rank-${rank} tensor is not yet supported`);\n    }\n    this.outputShape = xShape;\n    const channels = getChannels('rc', rank);\n    const nextColumn =\n        `${channels[rank - 1]} + 1 < ${this.outputShape[rank - 1]}`;\n    const nextRow = `${channels[rank - 2]} + 1 < ${this.outputShape[rank - 2]}`;\n    const type = getCoordsDataType(rank);\n    if (rank === 1) {\n      this.userCode = `\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(${xShape[0]} - rc - 1),\n            ${xShape[0]} - rc - 1);\n          if(${nextColumn}){\n              result.g = getChannel(getX(${xShape[0]} - (rc  + 1) - 1),\n                ${xShape[0]} - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      `;\n    } else {\n      this.userCode = `\n        void main() {\n          ${type} rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ${getR(channels.slice())};\n          if(${nextColumn}){\n            result.g = ${getG(channels.slice())};\n          }\n          if(${nextRow}) {\n            result.b = ${getB(channels.slice())};\n            if(${nextColumn}) {\n              result.a = ${getA(channels.slice())};\n            }\n          }\n          setOutput(result);\n        }\n    `;\n    }\n\n    function getR(channels: string[]): string {\n      return getChannel(channels);\n    }\n\n    function getG(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getB(channels: string[]): string {\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getA(channels: string[]): string {\n      channels[rank - 1] = '(' + channels[rank - 1] + ` + 1)`;\n      channels[rank - 2] = '(' + channels[rank - 2] + ` + 1)`;\n      return getChannel(channels);\n    }\n\n    function getChannel(channels: string[]): string {\n      const inCoordsArray = xShape.map((_, i) => getInCoord(i, channels));\n      const inCoords = inCoordsArray.join(',');\n      const innerDims = inCoordsArray.slice(-2).join(',');\n      return `getChannel(getX(${inCoords}), vec2(${innerDims}))`;\n    }\n\n    function getInCoord(i: number, channels1: string[]): string {\n      if (axis.indexOf(i) !== -1 && xShape[i] !== 1) {\n        return `${xShape[i]} - ${channels1[i]} - 1`;\n      } else {\n        return `${channels1[i]}`;\n      }\n    }\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class ScatterProgram implements GPGPUProgram {\n  variableNames = ['updates', 'indices', 'defaultValue'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      updateSize: number, sliceDim: number, indicesRank: number,\n      updatesRank: number, strides: number[], shape: number[],\n      summingDupeIndex = true) {\n    this.outputShape = shape;\n    const stridesType = getCoordsDataType(strides.length);\n    const dtype = getCoordsDataType(shape.length);\n    let indicesString = '';\n    if (indicesRank === 1) {\n      indicesString = 'i';\n    } else if (indicesRank === 2) {\n      indicesString = 'i, j';\n    }\n    const indicesSnippet = `getIndices(${indicesString})`;\n\n    let updatesString = '';\n    if (updatesRank === 1) {\n      updatesString = 'i';\n    } else if (updatesRank === 2) {\n      updatesString = 'i, coords[1]';\n    }\n    const updatesSnippet = `getUpdates(${updatesString})`;\n\n    const strideString = sliceDim > 1 ? 'strides[j]' : 'strides';\n    this.userCode = `\n        ${stridesType} strides = ${stridesType}(${strides});\n\n        void main() {\n          ${dtype} coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ${updateSize}; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < ${sliceDim}; j++) {\n              int index = round(${indicesSnippet});\n              flattenedIndex += index * ${strideString};\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += ${updatesSnippet};\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SegOpInfo} from '../../ops/segment_util';\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class SegmentOpProgram implements GPGPUProgram {\n  variableNames = ['x', 'segmentIds'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(segOpInfo: SegOpInfo, segOpType: 'unsortedSegmentSum') {\n    const windowSize = segOpInfo.windowSize;\n    const batchSize = segOpInfo.batchSize;\n    const inSize = segOpInfo.inSize;\n    const numSegments = segOpInfo.numSegments;\n    const outSize = numSegments * Math.ceil(inSize / windowSize);\n    this.outputShape = [batchSize, outSize];\n\n    const initializationValue = '0.0';\n    const returnValue = `sumValue`;\n\n    const windowSizeNearestVec4 = Math.floor(windowSize / 4) * 4;\n    const windowSizeVec4Remainder = windowSize % 4;\n\n    const updateSnippet = `\n        sumValue += dot(values, segFilter);\n    `;\n\n    let checkValueOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkValueOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return initializationValue;\n        }\n      `;\n    }\n\n    let checkSegmentIdOutOfBounds = '';\n    if (inSize % windowSize > 0) {\n      checkSegmentIdOutOfBounds = `\n        if (inIdx < 0 || inIdx >= ${inSize}) {\n          return -1.0;\n        }\n      `;\n    }\n\n    this.userCode = `\n      const float initializationValue = ${initializationValue};\n\n      float getValue(int batch, int inIdx) {\n        ${checkValueOutOfBounds}\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        ${checkSegmentIdOutOfBounds}\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          ${numSegments})) * float(${windowSize}));\n        int currentSeg = int(mod(float(outIdx), float(${numSegments})));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ${windowSizeNearestVec4}; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          ${updateSnippet}\n        }\n\n        int inIdx = inOffset + ${windowSizeNearestVec4};\n        if (${windowSizeVec4Remainder === 1}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 2}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          ${updateSnippet}\n        } else if (${windowSizeVec4Remainder === 3}) {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          ${updateSnippet}\n        }\n        setOutput(${returnValue});\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SelectProgram implements GPGPUProgram {\n  variableNames = ['c', 'a', 'b'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(cRank: number, shape: number[], rank: number) {\n    this.outputShape = shape;\n\n    let cCoords;\n    let abCoords;\n    if (rank > 4) {\n      throw Error(`Where for rank ${rank} is not yet supported`);\n    }\n\n    if (rank === 1) {\n      abCoords = `resRC`;\n      cCoords = `resRC`;\n    } else {\n      const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w'];\n      const cCoordVars = [];\n      const abCoordVars = [];\n      for (let i = 0; i < shape.length; i++) {\n        abCoordVars.push(`${currentCoords[i]}`);\n        if (i < cRank) {\n          cCoordVars.push(`${currentCoords[i]}`);\n        }\n      }\n      cCoords = cCoordVars.join();\n      abCoords = abCoordVars.join();\n    }\n\n    const dtype = getCoordsDataType(rank);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        float cVal = getC(${cCoords});\n        if (cVal >= 1.0) {\n          setOutput(getA(${abCoords}));\n        } else {\n          setOutput(getB(${abCoords}));\n        }\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SliceProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const uniformPart = `uniform int start[${this.rank}];`;\n    const sourceCoords = getCoords(this.rank);\n\n    let body: string;\n    const coordSum = destSize.map((_, i) => {\n      return `sourceLoc.${coords[i]} = start[${i}] + coords.${coords[i]};`;\n    });\n    body = `\n        ${dtype} sourceLoc;\n        ${dtype} coords = getOutputCoords();\n        ${coordSum.join('\\n')}\n      `;\n    this.userCode = `\n      ${uniformPart}\n      void main() {\n        ${body}\n        setOutput(getSource(${sourceCoords}));\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n\nconst coords = ['x', 'y', 'z', 'w', 'u', 'v'];\n\nfunction getCoords(rank: number): string {\n  if (rank === 1) {\n    return 'sourceLoc';\n  } else if (rank <= 6) {\n    return coords.slice(0, rank).map(x => 'sourceLoc.' + x).join(',');\n  } else {\n    throw Error(`Slicing for rank ${rank} is not yet supported`);\n  }\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels} from '../packing_util';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class SlicePackedProgram implements GPGPUProgram {\n  variableNames = ['source'];\n  packedInputs = true;\n  packedOutput = true;\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  // Caching uniform location for speed.\n  startLoc: WebGLUniformLocation;\n\n  constructor(destSize: number[]) {\n    this.outputShape = destSize;\n    this.rank = destSize.length;\n\n    const dtype = getCoordsDataType(this.rank);\n    const coords = getChannels('coords', this.rank);\n    const sourceLoc = getChannels('sourceLoc', this.rank);\n\n    const innerDims =\n        this.rank === 1 ? 'sourceLoc' : `vec2(${sourceLoc.slice(-2).join()})`;\n    const getChannel =\n        `getChannel(getSource(${sourceLoc.join()}), ${innerDims})`;\n    const upperRow = `\n      result.x = ${getChannel};\n      if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n        ++${sourceLoc[this.rank - 1]};\n        result.y = ${getChannel};\n        --${sourceLoc[this.rank - 1]};\n      }\n    `;\n    const lowerRow = this.rank === 1 ? '' : `\n      --${coords[this.rank - 1]};\n      if (++${coords[this.rank - 2]} < ${destSize[this.rank - 2]}) {\n        ++${sourceLoc[this.rank - 2]};\n        result.z = ${getChannel};\n        if (++${coords[this.rank - 1]} < ${destSize[this.rank - 1]}) {\n          ++${sourceLoc[this.rank - 1]};\n          result.w = ${getChannel};\n        }\n      }\n    `;\n\n    const sourceLocSetup = this.rank <= 4 ?\n        `sourceLoc = coords +\n            ${dtype}(${destSize.map((_, i) => `start[${i}]`).join()});` :\n        destSize.map((_, i) => `${sourceLoc[i]} = ${coords[i]} + start[${i}];`)\n            .join('\\n');\n    this.userCode = `\n      uniform int start[${this.rank}];\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        ${dtype} sourceLoc;\n        ${sourceLocSetup}\n        vec4 result = vec4(0.);\n        ${upperRow}\n        ${lowerRow}\n        setOutput(result);\n      }\n    `;\n  }\n\n  getCustomSetupFunc(start: number[]) {\n    if (start.length !== this.rank) {\n      throw Error(\n          `The rank (${this.rank}) of the program must match the ` +\n          `length of start (${start.length})`);\n    }\n    return (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => {\n      if (this.startLoc == null) {\n        this.startLoc = gpgpu.getUniformLocationNoThrow(webGLProgram, 'start');\n        if (this.startLoc == null) {\n          // This means the compiler has optimized and realized it doesn't need\n          // the uniform.\n          return;\n        }\n      }\n      gpgpu.gl.uniform1iv(this.startLoc, start);\n    };\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class StridedSliceProgram implements GPGPUProgram {\n  variableNames = ['x'];\n  outputShape: number[];\n  userCode: string;\n\n  constructor(\n      begin: number[], strides: number[], size: number[]) {\n    this.outputShape = size;\n    const rank = size.length;\n    const inputDtype = getCoordsDataType(size.length);\n    const dtype = getCoordsDataType(size.length);\n\n    let newCoords = '';\n    if (rank === 1) {\n      newCoords = 'coords * strides + begin';\n    } else {\n      let outputAxis = 0;\n      newCoords =\n          size.map((_, i) => {\n                outputAxis++;\n                return size.length === 1 ?\n                    `coords * strides[${i}] + begin[${i}]` :\n                    `coords[${outputAxis - 1}] * strides[${i}] + begin[${i}]`;\n              })\n              .join(',');\n    }\n\n    this.userCode = `\n      ${inputDtype} begin = ${inputDtype}(${begin});\n      ${inputDtype} strides = ${inputDtype}(${strides});\n\n      void main() {\n        ${dtype} coords = getOutputCoords();\n        setOutput(getX(${newCoords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../environment';\n\nimport {GPGPUContext} from './gpgpu_context';\nimport {PhysicalTextureType, TextureUsage} from './tex_util';\n\nexport class TextureManager {\n  private numUsedTextures = 0;\n  private numFreeTextures = 0;\n  private freeTextures: {[shape: string]: WebGLTexture[]} = {};\n  private logEnabled = false;\n  private usedTextures: {[shape: string]: WebGLTexture[]} = {};\n\n  constructor(private gpgpu: GPGPUContext) {}\n\n  acquireTexture(\n      shapeRC: [number, number], usage: TextureUsage,\n      isPacked: boolean): WebGLTexture {\n    const physicalTexType = getPhysicalFromLogicalTextureType(usage, isPacked);\n\n    const shapeKey = getKeyFromTextureShape(shapeRC, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    if (!(shapeKey in this.usedTextures)) {\n      this.usedTextures[shapeKey] = [];\n    }\n\n    if (this.freeTextures[shapeKey].length > 0) {\n      this.numFreeTextures--;\n      this.numUsedTextures++;\n      this.log();\n      const newTexture = this.freeTextures[shapeKey].shift();\n      this.usedTextures[shapeKey].push(newTexture);\n      return newTexture;\n    }\n    this.numUsedTextures++;\n    this.log();\n\n    let newTexture: WebGLTexture;\n    if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT32) {\n      newTexture = this.gpgpu.createPackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.PACKED_2X2_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16PackedMatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT32) {\n      newTexture =\n          this.gpgpu.createFloat32MatrixTexture(shapeRC[0], shapeRC[1]);\n    } else if (physicalTexType === PhysicalTextureType.UNPACKED_FLOAT16) {\n      newTexture =\n          this.gpgpu.createFloat16MatrixTexture(shapeRC[0], shapeRC[1]);\n\n    } else if (\n        physicalTexType === PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE) {\n      newTexture =\n          this.gpgpu.createUnsignedBytesMatrixTexture(shapeRC[0], shapeRC[1]);\n    }\n    this.usedTextures[shapeKey].push(newTexture);\n\n    return newTexture;\n  }\n\n  releaseTexture(\n      texture: WebGLTexture, shape: [number, number],\n      logicalTexType: TextureUsage, isPacked: boolean): void {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    const physicalTexType =\n        getPhysicalFromLogicalTextureType(logicalTexType, isPacked);\n    const shapeKey = getKeyFromTextureShape(shape, physicalTexType, isPacked);\n    if (!(shapeKey in this.freeTextures)) {\n      this.freeTextures[shapeKey] = [];\n    }\n    this.freeTextures[shapeKey].push(texture);\n    this.numFreeTextures++;\n    this.numUsedTextures--;\n    const texList = this.usedTextures[shapeKey];\n    const texIndex = texList.indexOf(texture);\n    if (texIndex < 0) {\n      throw new Error(\n          'Cannot release a texture that was never provided by this ' +\n          'texture manager');\n    }\n    texList.splice(texIndex, 1);\n    this.log();\n  }\n\n  private log() {\n    if (!this.logEnabled) {\n      return;\n    }\n    const total = this.numFreeTextures + this.numUsedTextures;\n    console.log(\n        'Free/Used', `${this.numFreeTextures} / ${this.numUsedTextures}`,\n        `(${total})`);\n  }\n\n  getNumUsedTextures(): number {\n    return this.numUsedTextures;\n  }\n\n  getNumFreeTextures(): number {\n    return this.numFreeTextures;\n  }\n\n  dispose() {\n    if (this.freeTextures == null) {\n      // Already disposed.\n      return;\n    }\n    for (const texShape in this.freeTextures) {\n      this.freeTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    for (const texShape in this.usedTextures) {\n      this.usedTextures[texShape].forEach(tex => {\n        this.gpgpu.deleteMatrixTexture(tex);\n      });\n    }\n    this.freeTextures = null;\n    this.usedTextures = null;\n    this.numUsedTextures = 0;\n    this.numFreeTextures = 0;\n  }\n}\n\nfunction getPhysicalTextureForRendering(isPacked: boolean):\n    PhysicalTextureType {\n  if (env().getBool('WEBGL_RENDER_FLOAT32_ENABLED')) {\n    if (isPacked) {\n      return PhysicalTextureType.PACKED_2X2_FLOAT32;\n    }\n    return PhysicalTextureType.UNPACKED_FLOAT32;\n  }\n\n  if (isPacked) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT16;\n  }\n  return PhysicalTextureType.UNPACKED_FLOAT16;\n}\n\nfunction getPhysicalFromLogicalTextureType(\n    logicalTexType: TextureUsage, isPacked: boolean): PhysicalTextureType {\n  if (logicalTexType === TextureUsage.UPLOAD) {\n    return PhysicalTextureType.PACKED_2X2_FLOAT32;\n  } else if (logicalTexType === TextureUsage.RENDER || logicalTexType == null) {\n    return getPhysicalTextureForRendering(isPacked);\n  } else if (\n      logicalTexType === TextureUsage.DOWNLOAD ||\n      logicalTexType === TextureUsage.PIXELS) {\n    return PhysicalTextureType.PACKED_4X1_UNSIGNED_BYTE;\n  }\n  throw new Error(`Unknown logical texture type ${logicalTexType}`);\n}\n\nfunction getKeyFromTextureShape(\n    shapeRowsCol: [number, number], physicalTexType: PhysicalTextureType,\n    isPacked: boolean): string {\n  return `${shapeRowsCol[0]}_${shapeRowsCol[1]}_${physicalTexType}_${isPacked}`;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TileProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], reps: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[i] * reps[i];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const sourceCoords = getSourceCoords(aShape);\n\n    this.userCode = `\n      void main() {\n        ${dtype} resRC = getOutputCoords();\n        setOutput(getA(${sourceCoords}));\n      }\n    `;\n  }\n}\n\nfunction getSourceCoords(aShape: number[]): string {\n  const rank = aShape.length;\n  if (rank > 5) {\n    throw Error(`Tile for rank ${rank} is not yet supported`);\n  }\n  if (rank === 1) {\n    return `imod(resRC, ${aShape[0]})`;\n  }\n\n  const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u'];\n\n  const sourceCoords = [];\n  for (let i = 0; i < aShape.length; i++) {\n    sourceCoords.push(`imod(${currentCoords[i]}, ${aShape[i]})`);\n  }\n  return sourceCoords.join();\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const ERF_P = 0.3275911;\nexport const ERF_A1 = 0.254829592;\nexport const ERF_A2 = -0.284496736;\nexport const ERF_A3 = 1.421413741;\nexport const ERF_A4 = -1.453152027;\nexport const ERF_A5 = 1.061405429;\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nexport const SELU_SCALEALPHA = 1.7580993408473768599402175208123;\nexport const SELU_SCALE = 1.0507009873554804934193349852946;\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as erf_util from '../../ops/erf_util';\nimport * as selu_util from '../../ops/selu_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport class UnaryOpProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      float unaryOperation(float x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n\nconst CHECK_NAN_SNIPPET = `if (isnan(x)) return x;`;\n\nexport const LINEAR = `return x;`;\n\nexport const ABS = `return abs(x);`;\n\nexport const RELU = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : x;\n`;\n\nexport const RELU6 = CHECK_NAN_SNIPPET + `\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n`;\n\nexport const ELU = `return (x >= 0.0) ? x : (exp(x) - 1.0);`;\n\nexport const SELU = `\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = ${selu_util.SELU_SCALEALPHA};\n  float scale = ${selu_util.SELU_SCALE};\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n`;\n\nexport function STEP(alpha = 0.0) {\n  return CHECK_NAN_SNIPPET + `\n    return x > 0.0 ? 1.0 : float(${alpha});\n  `;\n}\n\nexport const NEG = `return -x;`;\n\nexport const CEIL = `return ceil(x);`;\n\nexport const FLOOR = `return floor(x);`;\n\nexport const SIGN = `\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n`;\n\nexport const IS_NAN = `return float(isnan(x));`;\n\nexport const IS_INF = `return float(isinf(x));`;\n\nexport const IS_FINITE = `return float(!isnan(x) && !isinf(x));`;\n\nexport const ROUND = `\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n`;\n\nexport const EXP = `return exp(x);`;\n\nexport const EXPM1 = `return exp(x) - 1.0;`;\n\nexport const LOG = `if (x < 0.0) return NAN;\n  return log(x);`;\n\nexport const LOG1P = `return log(1.0 + x);`;\n\nexport const SQRT = `return sqrt(x);`;\n\nexport const RSQRT = `return inversesqrt(x);`;\n\nexport const SIGMOID = `return 1.0 / (1.0 + exp(-1.0 * x));`;\n\n/**\n * mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n *\n * epsilon is the difference between 1.0 and the next representable\n * float. For a single precision 32 bit float this should be 2^-23, see:\n * https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n *\n * too_large = (x > -threshold) is value above which exp(x) may overflow\n * but softplus(x) == x is within machine epsilon\n *\n * too_small = (x < threshold) is value below which exp(x) may underflow,\n * but softplus(x) == exp(x) is within machine epsilon.\n */\nexport const SOFTPLUS = `\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n`;\n\nexport const SIN = CHECK_NAN_SNIPPET + `\n  return sin(x);\n`;\n\nexport const COS = CHECK_NAN_SNIPPET + `\n  return cos(x);\n`;\n\nexport const TAN = `return tan(x);`;\n\nexport const ASIN = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n`;\n\nexport const ACOS = CHECK_NAN_SNIPPET + `\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n`;\n\nexport const ATAN = CHECK_NAN_SNIPPET + `\n  return atan(x);\n`;\n\nexport const SINH = `\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n`;\n\nexport const COSH = `\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n`;\n\nexport const TANH = `\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n`;\n\nexport const ASINH = CHECK_NAN_SNIPPET + `return log(x + sqrt(x * x + 1.0));`;\n\nexport const ACOSH = CHECK_NAN_SNIPPET + `\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));`;\n\nexport const ATANH = CHECK_NAN_SNIPPET + `\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;`;\n\nexport const ERF = `\n  // Error function is calculated approximately with elementary function.\n  // See \"Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables\", Abramowitz and Stegun.\n  float p = ${erf_util.ERF_P};\n  float a1 = ${erf_util.ERF_A1};\n  float a2 = ${erf_util.ERF_A2};\n  float a3 = ${erf_util.ERF_A3};\n  float a4 = ${erf_util.ERF_A4};\n  float a5 = ${erf_util.ERF_A5};\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n`;\n\nexport const SQUARE = `return x * x;`;\n\nexport const RECIPROCAL = `return 1.0 / x;`;\n\nexport const LOGICAL_NOT = `return float(!(x >= 1.0));`;\n\nexport const TO_INT = `return float(int(x));`;\n\nexport const CLONE = 'return x;';\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\n\nexport const LINEAR = `return x;`;\n\nexport const LOG = `\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n`;\n\nexport const RELU = `\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const RELU6 = `\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n`;\n\nexport const ELU = `\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n`;\n\nexport class UnaryOpPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], opSnippet: string) {\n    this.outputShape = aShape;\n    this.userCode = `\n      vec4 unaryOperation(vec4 x) {\n        ${opSnippet}\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getChannels, getSourceCoords} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class UnpackProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  packedInputs = true;\n  packedOutput = false;\n  outputShape: number[];\n  userCode: string;\n\n  constructor(outputShape: number[]) {\n    this.outputShape = outputShape;\n    const rank = outputShape.length;\n\n    const channels = getChannels('rc', rank);\n    const dtype = getCoordsDataType(rank);\n    const sourceCoords = getSourceCoords(rank, channels);\n    const innerDims = channels.slice(-2);\n    const coords = rank <= 1 ? 'rc' : `vec2(${innerDims.join(',')})`;\n\n    this.userCode = `\n      void main() {\n        ${dtype} rc = getOutputCoords();\n        vec4 packedInput = getA(${sourceCoords});\n\n        setOutput(getChannel(packedInput, ${coords}));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// Import webgl flags.\nimport './flags_webgl';\n\nimport * as device_util from '../../device_util';\nimport {ENGINE, MemoryInfo, TimingInfo} from '../../engine';\nimport {env} from '../../environment';\nimport {tidy} from '../../globals';\nimport {TensorInfo} from '../../kernel_registry';\nimport {warn} from '../../log';\nimport {buffer} from '../../ops/array_ops';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport {computeOutShape} from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {div} from '../../ops/div';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as reduce_util from '../../ops/reduce_util';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as segment_util from '../../ops/segment_util';\nimport * as slice_util from '../../ops/slice_util';\nimport {softmax} from '../../ops/softmax';\nimport {range, scalar, tensor} from '../../ops/tensor_ops';\nimport {transpose} from '../../ops/transpose';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../../tensor';\nimport {BackendValues, DataType, DataTypeMap, NumericDataType, Rank, RecursiveArray, ShapeMap, sumOutType, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, getTypedArrayFromDType, inferDtype, sizeFromShape} from '../../util';\nimport {DataStorage, EPSILON_FLOAT16, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport {mergeRealAndImagArrays} from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {AddNProgram} from './addn_gpu';\nimport {AddNPackedProgram} from './addn_packed_gpu';\nimport {ArgMinMaxProgram} from './argminmax_gpu';\nimport {ArgMinMaxPackedProgram} from './argminmax_packed_gpu';\nimport {AvgPool2DBackpropProgram, AvgPool3DBackpropProgram} from './avg_pool_backprop_gpu';\nimport {BatchNormProgram} from './batchnorm_gpu';\nimport {BatchNormPackedProgram} from './batchnorm_packed_gpu';\nimport * as binaryop_complex_gpu from './binaryop_complex_gpu';\nimport {BinaryOpComplexProgram} from './binaryop_complex_gpu';\nimport * as binaryop_gpu from './binaryop_gpu';\nimport {BinaryOpProgram} from './binaryop_gpu';\nimport * as binaryop_packed_gpu from './binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from './binaryop_packed_gpu';\nimport {getWebGLContext} from './canvas_util';\nimport {ClipProgram} from './clip_gpu';\nimport {ClipPackedProgram} from './clip_packed_gpu';\nimport {ComplexAbsProgram} from './complex_abs_gpu';\nimport {ConcatProgram} from './concat_gpu';\nimport {ConcatPackedProgram} from './concat_packed_gpu';\nimport {Conv2DDerFilterProgram, Conv2DDerInputProgram, Conv3DDerFilterProgram, Conv3DDerInputProgram} from './conv_backprop_gpu';\nimport {DepthwiseConv2DDerFilterProgram, DepthwiseConv2DDerInputProgram} from './conv_backprop_gpu_depthwise';\nimport {Conv2DProgram, Conv3DProgram} from './conv_gpu';\nimport {DepthwiseConv2DProgram} from './conv_gpu_depthwise';\nimport {DepthwiseConvPacked2DProgram} from './conv_packed_gpu_depthwise';\nimport {CropAndResizeProgram} from './crop_and_resize_gpu';\nimport {CumSumProgram} from './cumsum_gpu';\nimport {DecodeMatrixProgram} from './decode_matrix_gpu';\nimport {DecodeMatrixPackedProgram} from './decode_matrix_packed_gpu';\nimport {DepthToSpaceProgram} from './depth_to_space_gpu';\nimport {DiagProgram} from './diag_gpu';\nimport {EncodeFloatProgram} from './encode_float_gpu';\nimport {EncodeFloatPackedProgram} from './encode_float_packed_gpu';\nimport {EncodeMatrixProgram} from './encode_matrix_gpu';\nimport {EncodeMatrixPackedProgram} from './encode_matrix_packed_gpu';\nimport * as fft_gpu from './fft_gpu';\nimport {FFTProgram} from './fft_gpu';\nimport {FillProgram} from './fill_gpu';\nimport {GatherProgram} from './gather_gpu';\nimport {GatherNDProgram} from './gather_nd_gpu';\nimport {GPGPUContext} from './gpgpu_context';\nimport * as gpgpu_math from './gpgpu_math';\nimport {GPGPUBinary, GPGPUProgram, TensorData} from './gpgpu_math';\nimport {Im2ColPackedProgram} from './im2col_packed_gpu';\nimport {LRNProgram} from './lrn_gpu';\nimport {LRNGradProgram} from './lrn_grad_gpu';\nimport {LRNPackedProgram} from './lrn_packed_gpu';\nimport {MaxPool2DBackpropProgram, MaxPool3DBackpropProgram} from './max_pool_backprop_gpu';\nimport {MatMulPackedProgram} from './mulmat_packed_gpu';\nimport {MultinomialProgram} from './multinomial_gpu';\nimport {OneHotProgram} from './onehot_gpu';\nimport {PackProgram} from './pack_gpu';\nimport {PadProgram} from './pad_gpu';\nimport {PadPackedProgram} from './pad_packed_gpu';\nimport {Pool2DProgram, Pool3DProgram} from './pool_gpu';\nimport {ReduceProgram} from './reduce_gpu';\nimport {ReshapePackedProgram} from './reshape_packed_gpu';\nimport {ResizeBilinearBackpropProgram} from './resize_bilinear_backprop_gpu';\nimport {ResizeBilinearProgram} from './resize_bilinear_gpu';\nimport {ResizeBilinearPackedProgram} from './resize_bilinear_packed_gpu';\nimport {ResizeNearestNeigborBackpropProgram} from './resize_nearest_neighbor_backprop_gpu';\nimport {ResizeNearestNeighborProgram} from './resize_nearest_neighbor_gpu';\nimport {ReverseProgram} from './reverse_gpu';\nimport {ReversePackedProgram} from './reverse_packed_gpu';\nimport {ScatterProgram} from './scatter_gpu';\nimport {SegmentOpProgram} from './segment_gpu';\nimport {SelectProgram} from './select_gpu';\nimport {SliceProgram} from './slice_gpu';\nimport {SlicePackedProgram} from './slice_packed_gpu';\nimport {StridedSliceProgram} from './strided_slice_gpu';\nimport * as tex_util from './tex_util';\nimport {TextureData, TextureUsage} from './tex_util';\nimport {TextureManager} from './texture_manager';\nimport {TileProgram} from './tile_gpu';\nimport * as unary_op from './unaryop_gpu';\nimport {UnaryOpProgram} from './unaryop_gpu';\nimport * as unary_packed_op from './unaryop_packed_gpu';\nimport {UnaryOpPackedProgram} from './unaryop_packed_gpu';\nimport {UnpackProgram} from './unpack_gpu';\nimport * as webgl_util from './webgl_util';\n\ntype KernelInfo = {\n  name: string; query: Promise<number>;\n};\n\nexport type TimerNode = RecursiveArray<KernelInfo>|KernelInfo;\nexport interface CPUTimerQuery {\n  startMs: number;\n  endMs?: number;\n}\n\nexport interface WebGLMemoryInfo extends MemoryInfo {\n  numBytesInGPU: number;\n  unreliable: boolean;\n}\n\nexport interface WebGLTimingInfo extends TimingInfo {\n  uploadWaitMs: number;\n  downloadWaitMs: number;\n}\n\nconst binaryCaches: {[webGLVersion: string]: {[key: string]: GPGPUBinary}} = {};\n\nexport function getBinaryCache(webGLVersion: number) {\n  if (webGLVersion in binaryCaches) {\n    return binaryCaches[webGLVersion];\n  }\n  binaryCaches[webGLVersion] = {};\n  return binaryCaches[webGLVersion];\n}\n\nfunction mapActivationToShaderProgram(\n    activation: Activation, packed = false): string {\n  if (activation === 'linear') {\n    if (packed) {\n      return unary_packed_op.LINEAR;\n    }\n    return unary_op.LINEAR;\n  } else if (activation === 'relu') {\n    if (packed) {\n      return unary_packed_op.RELU;\n    }\n    return unary_op.RELU;\n  } else if (activation === 'elu') {\n    if (packed) {\n      return unary_packed_op.ELU;\n    }\n    return unary_op.ELU;\n  } else if (activation === 'relu6') {\n    if (packed) {\n      return unary_packed_op.RELU6;\n    }\n    return unary_op.RELU6;\n  } else if (activation === 'prelu') {\n    if (packed) {\n      return binaryop_packed_gpu.PRELU;\n    }\n    return binaryop_gpu.PRELU;\n  }\n  throw new Error(`Activation ${\n      activation} has not been implemented for the WebGL backend.`);\n}\n\n// Empirically determined constant used to determine size threshold for handing\n// off execution to the CPU.\nconst CPU_HANDOFF_SIZE_THRESHOLD = 128;\n\n// Empirically determined constant used to decide the number of MB on GPU\n// before we warn about high memory use. The MB are this constant * screen area\n// * dpi / 1024 / 1024.\nconst BEFORE_PAGING_CONSTANT = 600;\nfunction numMBBeforeWarning(): number {\n  if (env().global.screen == null) {\n    return 1024;  // 1 GB.\n  }\n  return (env().global.screen.height * env().global.screen.width *\n          window.devicePixelRatio) *\n      BEFORE_PAGING_CONSTANT / 1024 / 1024;\n}\n\n// Empirically determined minimal shared dimension in matmul before we forward\n// to a.mul(b).sum() in order to take advantage of GPU parallelism. See\n// https://github.com/tensorflow/tfjs-core/pull/1379 for benchmarks.\nexport const MATMUL_SHARED_DIM_THRESHOLD = 1000;\n\nexport class MathBackendWebGL extends KernelBackend {\n  texData: DataStorage<TextureData>;\n  gpgpu: GPGPUContext;\n\n  // Maps data ids that have a pending read operation, to list of subscribers.\n  private pendingRead = new WeakMap<DataId, Array<(arr: TypedArray) => void>>();\n  // List of data ids that are scheduled for disposal, but are waiting on a\n  // pending read operation.\n  private pendingDisposal = new WeakSet<DataId>();\n  // Used to count the number of 'shallow' sliced tensors that point to the\n  // same data id.\n  private dataRefCount = new WeakMap<DataId, number>();\n  private numBytesInGPU = 0;\n\n  private canvas: HTMLCanvasElement|OffscreenCanvas;\n\n  private programTimersStack: TimerNode[];\n  private activeTimers: TimerNode[];\n  // Accumulated time spent (including blocking) in uploading data to webgl.\n  private uploadWaitMs = 0;\n  // Accumulated time spent (including blocking in downloading data from webgl.\n  private downloadWaitMs = 0;\n  private cpuBackend: KernelBackend;\n\n  // Number of bits of precision of this backend.\n  private floatPrecisionValue: 32|16;\n\n  private textureManager: TextureManager;\n  private binaryCache: {[key: string]: GPGPUBinary};\n  private gpgpuCreatedLocally: boolean;\n  private numMBBeforeWarning: number;\n  private warnedAboutMemory = false;\n\n  constructor(gpgpu?: GPGPUContext) {\n    super();\n    if (!env().getBool('HAS_WEBGL')) {\n      throw new Error('WebGL is not supported on this device');\n    }\n\n    if (gpgpu == null) {\n      const gl = getWebGLContext(env().getNumber('WEBGL_VERSION'));\n      this.binaryCache = getBinaryCache(env().getNumber('WEBGL_VERSION'));\n      this.gpgpu = new GPGPUContext(gl);\n      this.canvas = gl.canvas;\n      this.gpgpuCreatedLocally = true;\n    } else {\n      this.gpgpu = gpgpu;\n      this.binaryCache = {};\n      this.gpgpuCreatedLocally = false;\n      this.canvas = gpgpu.gl.canvas;\n    }\n    this.textureManager = new TextureManager(this.gpgpu);\n    this.numMBBeforeWarning = numMBBeforeWarning();\n\n    this.texData = new DataStorage(this, ENGINE);\n  }\n\n  numDataIds() {\n    return this.texData.numDataIds() +\n        (this.cpuBackend ? this.cpuBackend.numDataIds() : 0) -\n        this.pendingDeletes;\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64' && values != null) {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    const dataId = {};\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    if (env().getBool('DEBUG')) {\n      this.checkNumericalProblems(values);\n    }\n    if (dtype === 'complex64') {\n      throw new Error(\n          `Cannot write to a complex64 dtype. ` +\n          `Please use tf.complex(real, imag).`);\n    }\n    this.texData.set(\n        dataId, {shape, dtype, values, usage: TextureUsage.UPLOAD});\n  }\n\n  readSync(dataId: DataId): BackendValues {\n    const texData = this.texData.get(dataId);\n    const {values, dtype, complexTensors, slice, shape, isPacked} = texData;\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.readSync(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n    if (dtype === 'string') {\n      return values;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let result: Float32Array;\n    if (dtype === 'complex64') {\n      const realValues = complexTensors.real.dataSync() as Float32Array;\n      const imagValues = complexTensors.imag.dataSync() as Float32Array;\n      result = mergeRealAndImagArrays(realValues, imagValues);\n    } else {\n      result = this.getValuesFromTexture(dataId);\n    }\n\n    if (shouldTimeProgram) {\n      this.downloadWaitMs += util.now() - start;\n    }\n    return this.convertAndCacheOnCPU(dataId, result);\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    if (this.pendingRead.has(dataId)) {\n      const subscribers = this.pendingRead.get(dataId);\n      return new Promise<TypedArray>(resolve => subscribers.push(resolve));\n    }\n    const texData = this.texData.get(dataId);\n    const {values, shape, slice, dtype, complexTensors, isPacked} = texData;\n\n    if (slice != null) {\n      let program;\n      if (isPacked) {\n        program = new UnaryOpPackedProgram(shape, unary_op.CLONE);\n      } else {\n        program = new UnaryOpProgram(shape, unary_op.CLONE);\n      }\n      const res =\n          this.runWebGLProgram(program, [{dataId, shape, dtype}], dtype);\n      const data = this.read(res.dataId);\n      this.disposeData(res.dataId);\n      return data;\n    }\n\n    if (values != null) {\n      return this.convertAndCacheOnCPU(dataId);\n    }\n\n    if (!env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED') &&\n        env().getNumber('WEBGL_VERSION') === 2) {\n      throw new Error(\n          `tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and ` +\n          `WEBGL_VERSION=2 not yet supported.`);\n    }\n\n    let buffer = null;\n    let tmpDownloadTarget: TensorInfo;\n\n    if (dtype !== 'complex64' && env().get('WEBGL_BUFFER_SUPPORTED')) {\n      // Possibly copy the texture into a buffer before inserting a fence.\n      tmpDownloadTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpDownloadTarget.dataId);\n\n      buffer = this.gpgpu.createBufferFromTexture(\n          tmpData.texture, ...tex_util.getDenseTexShape(shape));\n    }\n\n    this.pendingRead.set(dataId, []);\n\n    if (dtype !== 'complex64') {\n      // Create a fence and wait for it to resolve.\n      await this.gpgpu.createAndWaitForFence();\n    }\n\n    // Download the values from the GPU.\n    let vals: Float32Array;\n    if (dtype === 'complex64') {\n      const ps = await Promise.all(\n          [complexTensors.real.data(), complexTensors.imag.data()]);\n      const realValues = ps[0];\n      const imagValues = ps[1];\n      vals = mergeRealAndImagArrays(\n          realValues as Float32Array, imagValues as Float32Array);\n    } else if (buffer == null) {\n      vals = this.getValuesFromTexture(dataId);\n    } else {\n      const size = util.sizeFromShape(shape);\n      vals = this.gpgpu.downloadFloat32MatrixFromBuffer(buffer, size);\n    }\n    if (tmpDownloadTarget != null) {\n      this.disposeData(tmpDownloadTarget.dataId);\n    }\n    const dTypeVals = this.convertAndCacheOnCPU(dataId, vals);\n\n    const subscribers = this.pendingRead.get(dataId);\n    this.pendingRead.delete(dataId);\n\n    // Notify all pending reads.\n    subscribers.forEach(resolve => resolve(dTypeVals));\n    if (this.pendingDisposal.has(dataId)) {\n      this.pendingDisposal.delete(dataId);\n      this.disposeData(dataId);\n      this.pendingDeletes--;\n    }\n    return dTypeVals;\n  }\n\n  private checkNumericalProblems(values: BackendValues): void {\n    if (values == null) {\n      return;\n    }\n    for (let i = 0; i < values.length; i++) {\n      const num = values[i] as number;\n      if (!webgl_util.canBeRepresented(num)) {\n        if (env().getBool('WEBGL_RENDER_FLOAT32_CAPABLE')) {\n          throw Error(\n              `The value ${num} cannot be represented with your ` +\n              `current settings. Consider enabling float32 rendering: ` +\n              `'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'`);\n        }\n        throw Error(`The value ${num} cannot be represented on this device.`);\n      }\n    }\n  }\n\n  private getValuesFromTexture(dataId: DataId): Float32Array {\n    const {shape, dtype, isPacked} = this.texData.get(dataId);\n    const size = util.sizeFromShape(shape);\n    if (env().getBool('WEBGL_DOWNLOAD_FLOAT_ENABLED')) {\n      const tmpTarget = this.decode(dataId);\n      const tmpData = this.texData.get(tmpTarget.dataId);\n      const vals = this.gpgpu\n                       .downloadMatrixFromPackedTexture(\n                           tmpData.texture, ...tex_util.getDenseTexShape(shape))\n                       .subarray(0, size);\n\n      this.disposeData(tmpTarget.dataId);\n\n      return vals;\n    }\n\n    const shouldUsePackedProgram =\n        env().getBool('WEBGL_PACK') && isPacked === true;\n    const outputShape =\n        shouldUsePackedProgram ? webgl_util.getShapeAs3D(shape) : shape;\n    const program = shouldUsePackedProgram ?\n        new EncodeFloatPackedProgram(outputShape as [number, number, number]) :\n        new EncodeFloatProgram(outputShape);\n    const output = this.runWebGLProgram(\n        program, [{shape: outputShape, dtype, dataId}], 'float32');\n    const tmpData = this.texData.get(output.dataId);\n    const vals =\n        this.gpgpu\n            .downloadByteEncodedFloatMatrixFromOutputTexture(\n                tmpData.texture, tmpData.texShape[0], tmpData.texShape[1])\n            .subarray(0, size);\n    this.disposeData(output.dataId);\n\n    return vals;\n  }\n\n  async time(f: () => void): Promise<WebGLTimingInfo> {\n    const oldActiveTimers = this.activeTimers;\n    const newActiveTimers: TimerNode[] = [];\n\n    let outerMostTime = false;\n    if (this.programTimersStack == null) {\n      this.programTimersStack = newActiveTimers;\n      outerMostTime = true;\n    } else {\n      this.activeTimers.push(newActiveTimers);\n    }\n    this.activeTimers = newActiveTimers;\n\n    f();\n\n    // needing to split these up because util.flatten only accepts certain types\n    const flattenedActiveTimerQueries =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.query))\n            .filter(d => d != null);\n    const flattenedActiveTimerNames =\n        util.flatten(this.activeTimers.map((d: KernelInfo) => d.name))\n            .filter(d => d != null);\n\n    this.activeTimers = oldActiveTimers;\n\n    if (outerMostTime) {\n      this.programTimersStack = null;\n    }\n\n    const res: WebGLTimingInfo = {\n      uploadWaitMs: this.uploadWaitMs,\n      downloadWaitMs: this.downloadWaitMs,\n      kernelMs: null,\n      wallMs: null  // will be filled by the engine\n    };\n\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      const kernelMs = await Promise.all(flattenedActiveTimerQueries);\n\n      res['kernelMs'] = util.sum(kernelMs);\n      res['getExtraProfileInfo'] = () =>\n          kernelMs.map((d, i) => ({name: flattenedActiveTimerNames[i], ms: d}))\n              .map(d => `${d.name}: ${d.ms}`)\n              .join(', ');\n    } else {\n      res['kernelMs'] = {\n        error: 'WebGL query timers are not supported in this environment.'\n      };\n    }\n\n    this.uploadWaitMs = 0;\n    this.downloadWaitMs = 0;\n    return res;\n  }\n  memory(): WebGLMemoryInfo {\n    return {unreliable: false, numBytesInGPU: this.numBytesInGPU} as\n        WebGLMemoryInfo;\n  }\n\n  private startTimer(): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      return this.gpgpu.beginQuery();\n    }\n    return {startMs: util.now(), endMs: null};\n  }\n\n  private endTimer(query: WebGLQuery|CPUTimerQuery): WebGLQuery|CPUTimerQuery {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      this.gpgpu.endQuery();\n      return query;\n    }\n    (query as CPUTimerQuery).endMs = util.now();\n    return query;\n  }\n\n  private async getQueryTime(query: WebGLQuery|CPUTimerQuery): Promise<number> {\n    if (env().getNumber('WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE') > 0) {\n      return this.gpgpu.waitForQueryAndGetTime(query as WebGLQuery);\n    }\n    const timerQuery = query as CPUTimerQuery;\n    return timerQuery.endMs - timerQuery.startMs;\n  }\n\n  private pendingDeletes = 0;\n\n  disposeData(dataId: DataId): void {\n    if (this.pendingDisposal.has(dataId)) {\n      return;\n    }\n    if (this.pendingRead.has(dataId)) {\n      this.pendingDisposal.add(dataId);\n      this.pendingDeletes++;\n      return;\n    }\n    // No-op if already disposed.\n    if (!this.texData.has(dataId)) {\n      return;\n    }\n\n    this.releaseGPUData(dataId);\n    const {complexTensors} = this.texData.get(dataId);\n    if (complexTensors != null) {\n      complexTensors.real.dispose();\n      complexTensors.imag.dispose();\n    }\n    this.texData.delete(dataId);\n  }\n\n  private releaseGPUData(dataId: DataId): void {\n    const {texture, dtype, texShape, usage, isPacked, slice} =\n        this.texData.get(dataId);\n    const key = slice && slice.origDataId || dataId;\n    const refCount = this.dataRefCount.get(key);\n    if (refCount > 1) {\n      this.dataRefCount.set(key, refCount - 1);\n    } else {\n      this.dataRefCount.delete(key);\n      if (texture != null) {\n        this.numBytesInGPU -= this.computeBytes(texShape, dtype);\n        this.textureManager.releaseTexture(texture, texShape, usage, isPacked);\n      }\n    }\n    const texData = this.texData.get(dataId);\n    texData.texture = null;\n    texData.texShape = null;\n    texData.isPacked = false;\n    texData.slice = null;\n  }\n\n  getTexture(dataId: DataId): WebGLTexture {\n    this.uploadToGPU(dataId);\n    return this.texData.get(dataId).texture;\n  }\n\n  /**\n   * Returns internal information for the specific data bucket. Used in unit\n   * tests.\n   */\n  getDataInfo(dataId: DataId): TextureData {\n    return this.texData.get(dataId);\n  }\n\n  private getCPUBackend(): KernelBackend|null {\n    if (!env().getBool('WEBGL_CPU_FORWARD')) {\n      return null;\n    }\n\n    if (this.cpuBackend == null) {\n      this.cpuBackend = ENGINE.findBackend('cpu');\n    }\n\n    return this.cpuBackend;\n  }\n\n  /*\n  Tests whether all the inputs to an op are small and on the CPU. This heuristic\n  determines when it would be faster to execute a kernel on the CPU. WebGL\n  kernels opt into running this check and forwarding when appropriate.\n  TODO(https://github.com/tensorflow/tfjs/issues/872): Develop a more\n  sustainable strategy for optimizing backend execution of ops.\n   */\n  shouldExecuteOnCPU(\n      inputs: TensorInfo[],\n      sizeThreshold = CPU_HANDOFF_SIZE_THRESHOLD): boolean {\n    return this.getCPUBackend() != null &&\n        inputs.every(\n            input => this.texData.get(input.dataId).texture == null &&\n                util.sizeFromShape(input.shape) < sizeThreshold);\n  }\n\n  getGPGPUContext(): GPGPUContext {\n    return this.gpgpu;\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(real.shape, 'complex64');\n    const resultData = this.texData.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.texData.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.slice(x, begin, size);\n    }\n    // Short-circuit computation if the slice is zero-sized.\n    if (util.sizeFromShape(size) === 0) {\n      return tensor([], size, x.dtype) as T;\n    }\n    const {isPacked} = this.texData.get(x.dataId);\n    const isContinous = slice_util.isSliceContinous(x.shape, begin, size);\n    if (isPacked || !isContinous) {\n      const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n          new SlicePackedProgram(size) :\n          new SliceProgram(size);\n      const customSetup = program.getCustomSetupFunc(begin);\n      return this.compileAndRun(program, [x], null, customSetup);\n    }\n    this.uploadToGPU(x.dataId);\n    return this.shallowSlice(x, begin, size) as T;\n  }\n\n  private shallowSlice(x: Tensor, begin: number[], size: number[]): Tensor {\n    const xTexData = this.texData.get(x.dataId);\n    const t = this.makeOutput(size, x.dtype);\n    const newTexData = this.texData.get(t.dataId);\n    // Copy texture data from the original tensor.\n    Object.assign(newTexData, xTexData);\n    newTexData.shape = size;\n    newTexData.dtype = x.dtype;\n    let flatOffset = slice_util.computeFlatOffset(begin, x.strides);\n    if (xTexData.slice) {\n      // We are slicing an already sliced tensor, so we have to accumulate\n      // the offset.\n      flatOffset += xTexData.slice.flatOffset;\n    }\n    newTexData.slice = {\n      flatOffset,\n      // Point to the original dataId, which is used to do ref counting.\n      origDataId: xTexData.slice && xTexData.slice.origDataId || x.dataId\n    };\n\n    // Increase the ref count for that data bucket.\n    const refCount = this.dataRefCount.get(newTexData.slice.origDataId) || 1;\n    this.dataRefCount.set(newTexData.slice.origDataId, refCount + 1);\n\n    return t;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.stridedSlice(x, begin, end, strides);\n    }\n\n    const outShape = slice_util.computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return tensor([], outShape) as T;\n    }\n\n    const program = new StridedSliceProgram(begin, strides, outShape);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new ReversePackedProgram(x.shape, axis) :\n        new ReverseProgram(x.shape, axis);\n    return this.compileAndRun(program, [x]);\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    if (this.shouldExecuteOnCPU(tensors)) {\n      return this.cpuBackend.concat(tensors, axis);\n    }\n\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n    if (tensors.length > env().getNumber('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.concat(tensors.slice(0, midIndex), axis);\n      const rightSide = this.concat(tensors.slice(midIndex), axis);\n      return this.concat([leftSide, rightSide], axis);\n    }\n    if (env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') && tensors[0].rank > 1) {\n      const program = new ConcatPackedProgram(tensors.map(t => t.shape), axis);\n      return this.compileAndRun(program, tensors);\n    }\n    // Any concat of n-dimensional tensors across any axis can be reduced to\n    // a concatenation of two-dimensional tensors across the axis 1 by first\n    // partitioning the axes of the original tensors into those less than the\n    // axis to be concatenated and the rest. Then reshape the tensors\n    // into a two-dimensional tensor by collapsing these two sets of axes and\n    // concatenate the resulting matrices across the axis 1, finally reshaping\n    // the result to have the proper shape.\n    const outShape = computeOutShape(tensors.map(t => t.shape), axis);\n    const tensors2D =\n        tensors.map(t => t.as2D(-1, sizeFromShape(t.shape.slice(axis))));\n    const program = new ConcatProgram(tensors2D.map(t => t.shape));\n    const res: Tensor = this.compileAndRun(program, tensors2D);\n    return res.reshape(outShape);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.neg(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.NEG, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.NEG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const [batch, , ] = a.shape;\n\n    // Since the matrices are vectors, it is faster to call mul().sum()\n    // because sum() is O(sqrt(N)) due to divide-and-conquer.\n    if ((outerShapeA === 1 || outerShapeB === 1) &&\n        sharedDim > MATMUL_SHARED_DIM_THRESHOLD) {\n      if (transposeA) {\n        a = transpose(a, [0, 2, 1]);\n      }\n      if (transposeB) {\n        b = transpose(b, [0, 2, 1]);\n      }\n\n      const a3D = outerShapeB === 1 ? a : a.as3D(batch, sharedDim, 1);\n      const axis = outerShapeB === 1 ? 2 : 1;\n      const b3D = outerShapeB === 1 ? b.as3D(batch, 1, sharedDim) : b;\n      return this.multiply(a3D, b3D).sum(axis, true /* keepDims */);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB);\n    return this.compileAndRun<Tensor3D>(program, [a, b], dtype);\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    const outerShapeA = transposeA ? a.shape[2] : a.shape[1];\n    const outerShapeB = transposeB ? b.shape[1] : b.shape[2];\n    const [batch, , ] = a.shape;\n\n    const dtype = upcastType(a.dtype, b.dtype);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const program = new MatMulPackedProgram(\n        a.shape, [batch, outerShapeA, outerShapeB], transposeA, transposeB,\n        hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [a, b];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun<Tensor3D>(program, inputs, dtype);\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64') {\n      const aData = this.texData.get(a.dataId);\n      const bData = this.texData.get(b.dataId);\n\n      const realProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.REAL, a.shape, b.shape);\n      const imagProgram = new BinaryOpComplexProgram(\n          binaryop_complex_gpu.COMPLEX_MULTIPLY.IMAG, a.shape, b.shape);\n\n      const inputs = [\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(a, aData.complexTensors.imag),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.real),\n        this.makeComplexComponentTensorInfo(b, bData.complexTensors.imag)\n      ];\n      const real = this.compileAndRun<Tensor>(realProgram, inputs);\n      const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n\n      const complex = this.complex(real, imag);\n      real.dispose();\n      imag.dispose();\n      return complex;\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.multiply(a, b);\n    }\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.MUL, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.MUL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], a.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    const inputs = [x, mean, variance];\n\n    let offsetShape = null;\n    if (offset != null) {\n      offsetShape = offset.shape;\n      inputs.push(offset);\n    }\n\n    let scaleShape = null;\n    if (scale != null) {\n      scaleShape = scale.shape;\n      inputs.push(scale);\n    }\n\n    if (env().getBool('WEBGL_PACK_NORMALIZATION')) {\n      const batchNormPackedProgram = new BatchNormPackedProgram(\n          x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n          varianceEpsilon);\n      return this.compileAndRun<Tensor4D>(batchNormPackedProgram, inputs);\n    }\n\n    const batchNormProgram = new BatchNormProgram(\n        x.shape, mean.shape, variance.shape, offsetShape, scaleShape,\n        varianceEpsilon);\n    return this.compileAndRun(batchNormProgram, inputs);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, radius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_NORMALIZATION') ?\n        new LRNPackedProgram(x.shape, radius, bias, alpha, beta) :\n        new LRNProgram(x.shape, radius, bias, alpha, beta);\n    return this.compileAndRun(program, [x]);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    const program =\n        new LRNGradProgram(inputImage.shape, depthRadius, bias, alpha, beta);\n    return this.compileAndRun(program, [inputImage, outputImage, dy]);\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    if (x.dtype === 'string') {\n      const data = this.readSync(x.dataId) as Uint8Array[];\n      const decodedData = data.map(d => util.decodeString(d));\n      const buf = buffer(x.shape, x.dtype, decodedData);\n      return tile(buf, reps) as T;\n    }\n    const program = new TileProgram(x.shape, reps);\n    return this.compileAndRun(program, [x]);\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n        new PadPackedProgram(x.shape, paddings, constantValue) :\n        new PadProgram(x.shape, paddings, constantValue);\n    return this.compileAndRun(program, [x]);\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    if (this.shouldExecuteOnCPU([x, indices])) {\n      return this.cpuBackend.gather(x, indices, axis);\n    }\n    const program = new GatherProgram(x.shape, indices.size, axis);\n    return this.compileAndRun(program, [x, indices]);\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'batchToSpaceND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return transpose(x.reshape(reshaped), permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    util.assert(\n        x.rank <= 4,\n        () => 'spaceToBatchND for rank > 4 with a WebGL backend not ' +\n            'implemented yet');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return transpose(\n               paddedX.reshape(reshapedPaddedShape),\n               permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  private reduce(\n      x: Tensor2D, reduceType: 'all'|'any'|'max'|'min'|'sum'|'prod',\n      dtype: DataType): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program = new ReduceProgram(reduceInfo, reduceType);\n    const output = this.compileAndRun<Tensor2D>(program, [x], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.reduce(output, reduceType, dtype);\n  }\n\n  private argReduce(\n      x: Tensor2D, reduceType: 'max'|'min',\n      bestIndicesA: Tensor2D = null): Tensor2D {\n    let batchSize = x.shape[0];\n    let inSize = x.shape[1];\n    if (bestIndicesA != null) {\n      batchSize = bestIndicesA.shape[0];\n      inSize = bestIndicesA.shape[1];\n    }\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const reduceInfo = {windowSize, inSize, batchSize};\n    const program =\n        new ArgMinMaxProgram(reduceInfo, reduceType, bestIndicesA == null);\n    const inputs = [x];\n    if (bestIndicesA != null) {\n      inputs.push(bestIndicesA);\n    }\n    const output = this.compileAndRun<Tensor2D>(program, inputs, 'int32');\n    // No need to run another GPGPU program.\n    if (output.shape[1] === 1) {\n      return output;\n    }\n    return this.argReduce(x, reduceType, output);\n  }\n\n  private argReducePacked(\n      x: Tensor, reduceType: 'max'|'min', bestIndicesA: Tensor = null): Tensor {\n    const inShape = bestIndicesA != null ? bestIndicesA.shape : x.shape;\n    const inSize = inShape[inShape.length - 1];\n    const windowSize = reduce_util.computeOptimalWindowSize(inSize);\n    const program = new ArgMinMaxPackedProgram(\n        inShape, windowSize, reduceType, bestIndicesA == null);\n    const inputs = bestIndicesA == null ? [x] : [x, bestIndicesA];\n    const output = this.compileAndRun<Tensor>(program, inputs, 'int32');\n    if (output.rank === x.rank) {\n      return this.argReducePacked(x, reduceType, output);\n    }\n    return output;\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'sum', outputDType).reshape(outShape);\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.prod(x, axes);\n    }\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    return this.reduce(a2D, 'prod', outputDType).reshape(outShape);\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    let axis = 0;\n    const permutation = axis_util.getAxesPermutation([axis], x.rank);\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = transpose(x, permutation);\n      axis = axis_util.getInnerMostAxes(1, x.rank)[0];\n    }\n\n    const outShape =\n        segment_util.computeOutShape(permutedX.shape, axis, numSegments);\n    const inSize = util.sizeFromShape([permutedX.shape[axis]]);\n    const a2D = permutedX.as2D(-1, inSize);\n    const outputDType = sumOutType(x.dtype);\n    let result =\n        this.segOpCompute(\n                a2D, 'unsortedSegmentSum', segmentIds, outputDType, numSegments)\n            .reshape(outShape);\n    if (permutation != null) {\n      result = transpose(result, axis_util.getUndoAxesPermutation(permutation));\n    }\n    return result;\n  }\n\n  private segOpCompute(\n      x: Tensor2D, segOpType: 'unsortedSegmentSum', segmentIds: Tensor1D,\n      dtype: DataType, numSegments: number): Tensor2D {\n    const batchSize = x.shape[0];\n    const inSize = x.shape[1];\n    const windowSize =\n        segment_util.segOpComputeOptimalWindowSize(inSize, numSegments);\n    const segOpInfo = {windowSize, inSize, batchSize, numSegments};\n    const program = new SegmentOpProgram(segOpInfo, segOpType);\n    const output =\n        this.compileAndRun<Tensor2D>(program, [x, segmentIds], dtype);\n    // No need to run another GPGPU program.\n    if (output.shape[1] === numSegments) {\n      return output;\n    }\n    segmentIds = range(0, numSegments).tile([inSize / windowSize]);\n    return this.segOpCompute(output, segOpType, segmentIds, dtype, numSegments);\n  }\n\n  private argMinMaxReduce(x: Tensor, axis: number, reduceType: 'min'|'max'):\n      Tensor {\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims(\n        'arg' + reduceType.charAt(0).toUpperCase() + reduceType.slice(1), axes,\n        x.rank);\n    if (!env().getBool('WEBGL_PACK_REDUCE') || x.rank <= 2) {\n      const [outShape, reduceShape] =\n          axis_util.computeOutAndReduceShapes(x.shape, axes);\n      const inSize = util.sizeFromShape(reduceShape);\n      const a2D = x.as2D(-1, inSize);\n      return this.argReduce(a2D, reduceType).reshape(outShape);\n    }\n    return this.argReducePacked(x, reduceType);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'min');\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    return this.argMinMaxReduce(x, axis, 'max');\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `WebGL cumsum shader expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const program = new CumSumProgram(x.shape, exclusive, reverse);\n    return this.compileAndRun(program, [x]);\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.EQUAL, 'bool');\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.NOT_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.NOT_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.less(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.LESS, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LESS_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LESS_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.greater(a, b);\n    }\n\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.GREATER, 'bool');\n    }\n\n    const program = new BinaryOpProgram(binaryop_gpu.GREATER, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.GREATER_EQUAL, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.GREATER_EQUAL, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOGICAL_NOT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_AND, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_AND, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_packed_gpu.LOGICAL_OR, 'bool');\n    }\n    const program =\n        new BinaryOpProgram(binaryop_gpu.LOGICAL_OR, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b], 'bool');\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    const program = new SelectProgram(condition.rank, a.shape, a.rank);\n    return this.compileAndRun(\n        program, [condition, a, b], upcastType(a.dtype, b.dtype));\n  }\n\n  where(condition: Tensor): Tensor2D {\n    warn(\n        'tf.where() in webgl locks the UI thread. ' +\n        'Call tf.whereAsync() instead');\n    const condVals = condition.dataSync();\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    const xVals = x.dataSync();\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'min', a2D.dtype).reshape(outShape);\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.minimum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MIN, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MIN, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MOD, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MOD, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.max(x, axes);\n    }\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'max', a2D.dtype).reshape(outShape);\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.maximum(a, b);\n    }\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.MAX, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.MAX, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'all', a2D.dtype).reshape(outShape);\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const inSize = util.sizeFromShape(reduceShape);\n    const a2D = x.as2D(-1, inSize);\n    return this.reduce(a2D, 'any', a2D.dtype).reshape(outShape);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    const op = binaryop_gpu.INT_DIV;\n    const outputDtype = 'int32';\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(\n          a, b, binaryop_packed_gpu.INT_DIV, outputDtype);\n    }\n    const program = new BinaryOpProgram(op, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], outputDtype);\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.ADD);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.add(a, b);\n    }\n\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.ADD, dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.ADD, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  private packedUnaryOp(x: TensorInfo, op: string, dtype: DataType) {\n    const program = new UnaryOpPackedProgram(x.shape, op);\n    return this.compileAndRun<Tensor>(program, [x], dtype);\n  }\n\n  private packedBinaryOp(\n      a: TensorInfo, b: TensorInfo, op: string, dtype: DataType,\n      checkOutOfBounds = false) {\n    const program =\n        new BinaryOpPackedProgram(op, a.shape, b.shape, checkOutOfBounds);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  /**\n   * Computes a complex binary operation that can be decomposed into a simple\n   * binary operation on both the real and imagary parts.\n   */\n  private complexSeparableBinaryOp(a: Tensor, b: Tensor, op: string): Tensor {\n    const aData = this.texData.get(a.dataId);\n    const bData = this.texData.get(b.dataId);\n\n    const [real, imag] = [\n      [aData.complexTensors.real, bData.complexTensors.real],\n      [aData.complexTensors.imag, bData.complexTensors.imag]\n    ].map(complexParts => {\n      const [aPart, bPart] = complexParts;\n\n      const aHandle = this.makeComplexComponentTensorInfo(a, aPart);\n      const bHandle = this.makeComplexComponentTensorInfo(b, bPart);\n\n      const program = new BinaryOpProgram(op, a.shape, b.shape);\n      return this.compileAndRun<Tensor>(\n          program, [aHandle, bHandle], upcastType(aPart.dtype, bPart.dtype));\n    });\n\n    const complex = this.complex(real, imag);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  // Returns a TensorInfo with the complex shape and the dataId of the\n  // underlying part. We need to do this because a reshaped complex tensor is\n  // not reflected in its parts.\n  private makeComplexComponentTensorInfo(\n      complexTensor: Tensor, complexPart: Tensor): TensorInfo {\n    return {\n      dataId: complexPart.dataId,\n      dtype: complexPart.dtype,\n      shape: complexTensor.shape\n    };\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    if (tensors.length === 1) {\n      return tensors[0];\n    }\n\n    // Limit the number of uploaded textures for optimization.\n    if (tensors.length > env().get('WEBGL_MAX_TEXTURES_IN_SHADER')) {\n      const midIndex = Math.floor(tensors.length / 2);\n      const leftSide = this.addN(tensors.slice(0, midIndex));\n      const rightSide = this.addN(tensors.slice(midIndex));\n      return this.addN([leftSide, rightSide]);\n    }\n\n    const dtype =\n        tensors.map(t => t.dtype).reduce((d1, d2) => upcastType(d1, d2));\n    const shapes = tensors.map(t => t.shape);\n    // We can make sure shapes are identical in op level.\n    const usePackedOp = env().getBool('WEBGL_PACK');\n    const program = usePackedOp ?\n        new AddNPackedProgram(tensors[0].shape, shapes) :\n        new AddNProgram(tensors[0].shape, shapes);\n    return this.compileAndRun<T>(program, tensors, dtype);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' && b.dtype === 'complex64') {\n      return this.complexSeparableBinaryOp(a, b, binaryop_gpu.SUB);\n    }\n\n    if (this.shouldExecuteOnCPU([a, b])) {\n      return this.cpuBackend.subtract(a, b);\n    }\n    const dtype = upcastType(a.dtype, b.dtype);\n    if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n      return this.packedBinaryOp(a, b, binaryop_gpu.SUB, a.dtype);\n    }\n    const program = new BinaryOpProgram(binaryop_gpu.SUB, a.shape, b.shape);\n    return this.compileAndRun<Tensor>(program, [a, b], dtype);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    const usePackedOp = env().getBool('WEBGL_PACK_BINARY_OPERATIONS');\n    const program = usePackedOp ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.POW, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.POW, a.shape, b.shape);\n    const dtype = upcastType(a.dtype, b.dtype);\n    return this.compileAndRun<T>(program, [a, b], dtype);\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.ceil(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.CEIL, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.CEIL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.floor(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.FLOOR, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.FLOOR);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_NAN);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isInf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_INF);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n  isFinite<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.IS_FINITE);\n    return this.compileAndRun(program, [x], 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ROUND);\n    return this.compileAndRun(program, [x]);\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.exp(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXP, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXP);\n    return this.compileAndRun(program, [x]);\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.expm1(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.EXPM1, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.EXPM1);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softmax<T extends Tensor>(logits: T, dim: number): T {\n    const axes = util.parseAxisParam([dim], logits.shape);\n    const maxLogit = this.max(logits, axes);\n    const expandedShape = axis_util.expandShapeToKeepDim(maxLogit.shape, axes);\n    const a = this.subtract(logits, maxLogit.reshape(expandedShape));\n    const b = this.exp(a);\n    const sumExp = this.sum(b, axes).reshape(expandedShape);\n\n    // TODO(annxingyuan): Call divImpl rather than op as part of softmax kernel\n    // modularization.\n    return div(b, sumExp);\n  }\n\n  log<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.log(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.LOG, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG);\n    return this.compileAndRun(program, [x]);\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.LOG1P);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.rsqrt(x);\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.RSQRT);\n    return this.compileAndRun(program, [x]);\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.RECIPROCAL);\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    let program: UnaryOpProgram|UnaryOpPackedProgram;\n    if (env().getBool('WEBGL_PACK')) {\n      program = new UnaryOpPackedProgram(x.shape, unary_packed_op.RELU6);\n    } else {\n      program = new UnaryOpProgram(x.shape, unary_op.RELU6);\n    }\n    return this.compileAndRun(program, [x]);\n  }\n\n  prelu<T extends Tensor>(x: T, alpha: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.PRELU, x.shape, alpha.shape) :\n        new BinaryOpProgram(binaryop_gpu.PRELU, x.shape, alpha.shape);\n    return this.compileAndRun(program, [x, alpha]);\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_packed_op.ELU, x.dtype) as T;\n    }\n    const program = new UnaryOpProgram(x.shape, unary_op.ELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(\n            binaryop_packed_gpu.ELU_DER, dy.shape, y.shape) :\n        new BinaryOpProgram(binaryop_gpu.ELU_DER, dy.shape, y.shape);\n    return this.compileAndRun(program, [dy, y]);\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SELU);\n    return this.compileAndRun(program, [x]);\n  }\n\n  int<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TO_INT);\n    return this.compileAndRun(program, [x], 'int32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    let program;\n    if (env().getBool('WEBGL_PACK_CLIP')) {\n      program = new ClipPackedProgram(x.shape);\n    } else {\n      program = new ClipProgram(x.shape);\n    }\n    const customSetup = program.getCustomSetupFunc(min, max);\n    return this.compileAndRun(program, [x], null, customSetup);\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    if (this.shouldExecuteOnCPU([x])) {\n      return this.cpuBackend.abs(x);\n    }\n\n    if (env().getBool('WEBGL_PACK_UNARY_OPERATIONS')) {\n      return this.packedUnaryOp(x, unary_op.ABS, x.dtype) as T;\n    }\n\n    const program = new UnaryOpProgram(x.shape, unary_op.ABS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const xData = this.texData.get(x.dataId);\n\n    const program = new ComplexAbsProgram(x.shape);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    return this.compileAndRun<Tensor>(program, inputs) as T;\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIGMOID);\n    return this.compileAndRun(program, [x]);\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SOFTPLUS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASIN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOS);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATAN);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(binaryop_packed_gpu.ATAN2, a.shape, b.shape) :\n        new BinaryOpProgram(binaryop_gpu.ATAN2, a.shape, b.shape);\n    return this.compileAndRun(program, [a, b]);\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.SINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.COSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.TANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ASINH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ACOSH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ATANH);\n    return this.compileAndRun(program, [x]);\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.ERF);\n    return this.compileAndRun(program, [x]);\n  }\n\n  step<T extends Tensor>(x: T, alpha: number): T {\n    const program = new UnaryOpProgram(x.shape, unary_op.STEP(alpha));\n    return this.compileAndRun(program, [x]);\n  }\n\n  private conv2dByMatMul(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Reshapes conv2D input to 2D tensors, uses matMul and then reshape the\n    // result from 2D to 4D.\n    const xShape = x.shape;\n    const xTexData = this.texData.get(x.dataId);\n    const sharedMatMulDim = convInfo.inChannels;\n    const outerShapeX = xShape[0] * xShape[1] * xShape[2];\n    const outerShapeFilter = convInfo.outChannels;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const transposeA = false;\n    const transposeB = false;\n\n    // TODO: Once reduction ops are packed, batchMatMul will always be packed\n    // and we can remove this condition.\n    const batchMatMulWillBeUnpacked =\n        (outerShapeX === 1 || outerShapeFilter === 1) &&\n        sharedMatMulDim > MATMUL_SHARED_DIM_THRESHOLD;\n    const reshapeWillBeExpensive = xShape[2] % 2 !== 0 && !!xTexData.isPacked;\n\n    if (batchMatMulWillBeUnpacked || !env().getBool('WEBGL_LAZILY_UNPACK') ||\n        !env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ||\n        !reshapeWillBeExpensive) {\n      const targetShape = isChannelsLast ? xShape[0] * xShape[1] * xShape[2] :\n                                           xShape[0] * xShape[2] * xShape[3];\n      const xReshaped = this.reshape(x, [1, targetShape, convInfo.inChannels]);\n      const filterReshaped =\n          this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n      return this.reshape<Rank.R4>(\n          this.fusedBatchMatMul({\n            a: xReshaped as Tensor3D,\n            b: filterReshaped as Tensor3D,\n            transposeA,\n            transposeB,\n            bias,\n            activation,\n            preluActivationWeights\n          }),\n          convInfo.outShape);\n    }\n\n    // Following optimization is specific to packed |x| with odd row count\n    // (For example, in channelLast mode, 'row count' refers to x.shape[2]):\n    // we avoid expensive packed 2x2 reshape by padding row count to next,\n    // even number. When x.shape[2] is odd, the result of packed batchMatMul is\n    // the same (has the same texture layout and and values in the texture) as\n    // it is for even x.shape[2] + 1. We make the odd-rows tensor to look like\n    // even-rows tensor before the operation and, after the batchMatMul,\n    // fix the even-rows result to have odd number of rows.\n    const targetShape = isChannelsLast ?\n        xShape[0] * xShape[1] * (xShape[2] + 1) :\n        xShape[0] * xShape[2] * (xShape[3] + 1);\n    const xReshaped: TensorInfo = {\n      dataId: x.dataId,\n      shape: [1, targetShape, convInfo.inChannels],\n      dtype: x.dtype\n    };\n    // xTexData.shape gets referenced from GPGPUBinary.inShapeInfos.\n    // Decrementing row count, after batchMatMul->...->compileProgram leads to\n    // invalid row count within the reference in GPGPUBinary.inShapeInfos.\n    // Alternative fix would be to provide a copy to GPGPUBinary.inShapeInfos\n    // in compileProgram method, but that would affect compilation of all\n    // programs - instead, provide a copy here, with even row count, before\n    // calling batchMatMul->...->compileProgram and after that, the original\n    // xTexData.shape is restored.\n    const originalXTexDataShape = xTexData.shape;\n    xTexData.shape = xTexData.shape.slice();\n    xTexData.shape[xTexData.shape.length - 2]++;\n    util.assert(\n        webgl_util.isReshapeFree(xTexData.shape, xReshaped.shape),\n        () => `packed reshape ${xTexData.shape} to ${\n            xReshaped.shape} isn't free`);\n    const filterReshaped =\n        this.reshape(filter, [1, convInfo.inChannels, convInfo.outChannels]);\n\n    const pointwiseConv = this.fusedBatchMatMul({\n      a: xReshaped as Tensor3D,\n      b: filterReshaped as Tensor3D,\n      transposeA,\n      transposeB,\n      bias,\n      activation,\n      preluActivationWeights\n    });\n    const pointwiseConvTexData = this.texData.get(pointwiseConv.dataId);\n    util.assert(\n        pointwiseConvTexData.isPacked,\n        () => 'batchMatMul result is expected to be packed');\n    // Restore the input shape to original.\n    xTexData.shape = originalXTexDataShape;\n    // Set the output shape - there is no need for expensive reshape as data\n    // layout is already correct.\n    pointwiseConvTexData.shape = convInfo.outShape;\n    return ENGINE.makeTensorFromDataId(\n               pointwiseConv.dataId, convInfo.outShape, pointwiseConv.dtype) as\n        Tensor4D;\n  }\n\n  private conv2dWithIm2Row(\n      x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo, bias?: Tensor,\n      activation?: Activation, preluActivationWeights?: Tensor): Tensor4D {\n    // Rearranges conv2d input so each block to be convolved over forms the\n    // column of a new matrix with shape [filterWidth * filterHeight *\n    // inChannels, outHeight * outWidth]. The filter is also rearranged so each\n    // output channel forms a row of a new matrix with shape [outChannels,\n    // filterWidth * filterHeight * inChannels]. The convolution is then\n    // computed by multiplying these matrices and reshaping the result.\n    const {\n      filterWidth,\n      filterHeight,\n      inChannels,\n      outWidth,\n      outHeight,\n      dataFormat\n    } = convInfo;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n\n    const sharedDim = filterWidth * filterHeight * inChannels;\n    const numCols = outHeight * outWidth;\n    const x2ColShape = [sharedDim, numCols];\n    const transposeA = true;\n    const transposeB = false;\n\n    const xSqueezed = x.squeeze([0]);\n    const w2Row = filter.reshape([1, sharedDim, -1]);\n\n    const im2ColProgram =\n        new Im2ColPackedProgram(x2ColShape, xSqueezed.shape, convInfo);\n    const im2Col: Tensor3D =\n        this.compileAndRun<Tensor2D>(im2ColProgram, [xSqueezed]).reshape([\n          1, x2ColShape[0], x2ColShape[1]\n        ]);\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, true) : null;\n    const matmulProgram = new MatMulPackedProgram(\n        im2Col.shape, [1, numCols, convInfo.outChannels], transposeA,\n        transposeB, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [im2Col, w2Row];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    const product = this.compileAndRun<Tensor4D>(matmulProgram, inputs);\n\n    if (isChannelsLast) {\n      return product.reshape([1, outHeight, outWidth, convInfo.outChannels]);\n    } else {\n      return product.reshape([1, convInfo.outChannels, outHeight, outWidth]);\n    }\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && input.shape[0] === 1) {\n      return this.conv2dWithIm2Row(\n          input, filter, convInfo, bias, activation, preluActivationWeights);\n    }\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    const fusedActivation =\n        activation ? mapActivationToShaderProgram(activation, false) : null;\n    const program = new Conv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    const inputs: TensorInfo[] = [input, filter];\n    if (bias) {\n      inputs.push(bias);\n    }\n    if (preluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n    return this.compileAndRun(program, inputs);\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    if (convInfo.filterHeight === 1 && convInfo.filterWidth === 1 &&\n        convInfo.dilationHeight === 1 && convInfo.dilationWidth === 1 &&\n        convInfo.strideHeight === 1 && convInfo.strideWidth === 1 &&\n        (convInfo.padInfo.type === 'SAME' ||\n         convInfo.padInfo.type === 'VALID')) {\n      return this.conv2dByMatMul(x, filter, convInfo);\n    }\n    if (env().getBool('WEBGL_CONV_IM2COL') && x.shape[0] === 1) {\n      return this.conv2dWithIm2Row(x, filter, convInfo);\n    }\n    const program = new Conv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new Conv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Conv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    const shouldPackDepthwiseConv = env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1;\n    const fusedActivation = activation ?\n        mapActivationToShaderProgram(activation, shouldPackDepthwiseConv) :\n        null;\n    const inputs: Tensor[] = [input, filter];\n\n    const hasBias = bias != null;\n    const hasPreluActivationWeights = preluActivationWeights != null;\n    if (hasBias) {\n      inputs.push(bias);\n    }\n    if (hasPreluActivationWeights) {\n      inputs.push(preluActivationWeights);\n    }\n\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (shouldPackDepthwiseConv) {\n      program = new DepthwiseConvPacked2DProgram(\n          convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n      return this.compileAndRun(program, inputs);\n    }\n\n    program = new DepthwiseConv2DProgram(\n        convInfo, hasBias, fusedActivation, hasPreluActivationWeights);\n    return this.compileAndRun(program, inputs);\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    let program: DepthwiseConv2DProgram|DepthwiseConvPacked2DProgram;\n    if (env().getBool('WEBGL_PACK_DEPTHWISECONV') &&\n        convInfo.strideWidth <= 2 &&\n        convInfo.outChannels / convInfo.inChannels === 1) {\n      program = new DepthwiseConvPacked2DProgram(convInfo);\n      return this.compileAndRun(program, [x, filter]);\n    }\n\n    program = new DepthwiseConv2DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const program = new DepthwiseConv2DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DProgram(convInfo);\n    return this.compileAndRun(program, [x, filter]);\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const program = new Conv3DDerInputProgram(convInfo);\n    return this.compileAndRun(program, [dy, filter]);\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Conv3DDerFilterProgram(convInfo);\n    return this.compileAndRun(program, [x, dy]);\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x]);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const program = new Pool2DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    const getPositions = true;\n    const maxPoolPositionsProgram =\n        new Pool2DProgram(convInfo, 'max', getPositions);\n    const maxPoolPositions: Tensor4D =\n        this.compileAndRun(maxPoolPositionsProgram, [x]);\n\n    const maxPoolBackPropProgram = new MaxPool2DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPoolBackPropProgram, [dy, maxPoolPositions], x.dtype);\n    maxPoolPositions.dispose();\n    return result as Tensor4D;\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    const avgPoolBackpropProgram = new AvgPool2DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPoolBackpropProgram, [dy], x.dtype);\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'avg', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const avgPool3dBackpropProgram = new AvgPool3DBackpropProgram(convInfo);\n    return this.compileAndRun(avgPool3dBackpropProgram, [dy], x.dtype);\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const program = new Pool3DProgram(convInfo, 'max', false);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const getPositions = true;\n    const maxPool3dPositionsProgram =\n        new Pool3DProgram(convInfo, 'max', getPositions);\n    const maxPool3dPositions: Tensor5D =\n        this.compileAndRun(maxPool3dPositionsProgram, [x]);\n    const maxPool3dBackPropProgram = new MaxPool3DBackpropProgram(convInfo);\n    const result = this.compileAndRun(\n        maxPool3dBackPropProgram, [dy, maxPool3dPositions], x.dtype);\n    maxPool3dPositions.dispose();\n    return result as Tensor5D;\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const texData = this.texData.get(x.dataId);\n    if (texData.isPacked && !webgl_util.isReshapeFree(x.shape, shape) &&\n        !(texData.texture !== null &&\n          webgl_util.isReshapeFree(texData.shape, shape))) {\n      const info = this.packedReshape(x, shape);\n      return ENGINE.makeTensorFromDataId(info.dataId, info.shape, info.dtype) as\n          Tensor<R>;\n    }\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = env().getBool('WEBGL_PACK_IMAGE_OPERATIONS') ?\n        new ResizeBilinearPackedProgram(\n            x.shape, newHeight, newWidth, alignCorners) :\n        new ResizeBilinearProgram(x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x], 'float32');\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean):\n      Tensor4D {\n    const program = new ResizeBilinearBackpropProgram(dy, x, alignCorners);\n\n    return this.compileAndRun(program, [dy]);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    const program = new ResizeNearestNeighborProgram(\n        x.shape, newHeight, newWidth, alignCorners);\n    return this.compileAndRun(program, [x]);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean): Tensor4D {\n    const program =\n        new ResizeNearestNeigborBackpropProgram(dy, x, alignCorners);\n    return this.compileAndRun(program, [dy]);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    const probs = normalized ? logits : softmax(logits);\n    const batchSize = probs.shape[0];\n    const numOutcomes = probs.shape[1];\n    const program = new MultinomialProgram(batchSize, numOutcomes, numSamples);\n    const customSetup = program.getCustomSetupFunc(seed);\n    return this.compileAndRun(program, [probs], 'int32', customSetup);\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    const program = new OneHotProgram(indices.size, depth, onValue, offValue);\n    return this.compileAndRun(program, [indices]);\n  }\n\n  diag(x: Tensor): Tensor {\n    const program = new DiagProgram(x.size);\n    return this.compileAndRun(program, [x]);\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n    const boxesVals = boxes.dataSync();\n    const scoresVals = scores.dataSync();\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  cropAndResize(\n      image: Tensor4D, boxes: Tensor2D, boxIndex: Tensor1D,\n      cropSize: [number, number], method: 'bilinear'|'nearest',\n      extrapolationValue: number): Tensor4D {\n    const program = new CropAndResizeProgram(\n        image.shape, boxes.shape, cropSize, method, extrapolationValue);\n    return this.compileAndRun(program, [image, boxes, boxIndex], 'float32');\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = (dataFormat === 'NHWC') ? x.shape[1] : x.shape[2];\n    const inputWidth = (dataFormat === 'NHWC') ? x.shape[2] : x.shape[3];\n    const inputDepth = (dataFormat === 'NHWC') ? x.shape[3] : x.shape[1];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const outputShape = (dataFormat === 'NHWC') ?\n        [batchSize, outputHeight, outputWidth, outputDepth] :\n        [batchSize, outputDepth, outputHeight, outputWidth];\n\n    const program = new DepthToSpaceProgram(outputShape, blockSize, dataFormat);\n    return this.compileAndRun(program, [x]);\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n    const flattenIndices = indices.reshape([numUpdates, sliceRank]);\n    const flattenX = updates.reshape([numUpdates, sliceSize]);\n\n    if (outputSize === 0) {\n      return backend_util.reshapeTensor(tensor([]), shape);\n    }\n    const defaultValue = scalar(0);\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, flattenIndices.rank, flattenX.rank, strides,\n        flattenShape);\n    const res: Tensor =\n        this.compileAndRun(program, [flattenX, flattenIndices, defaultValue]);\n    return res.reshape(shape);\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n\n    const sumDupeIndices = false;\n    const program = new ScatterProgram(\n        numUpdates, sliceRank, sparseIndices.rank, sparseValues.rank, strides,\n        [outputSize, 1], sumDupeIndices);\n    const res: Tensor = this.compileAndRun(\n        program, [sparseValues, sparseIndices, defaultValue]);\n    return res.reshape(outputShape);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    const inverse = false;\n    return this.fftImpl(x, inverse);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    const inverse = true;\n    return this.fftImpl(x, inverse);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const xData = this.texData.get(x.dataId);\n\n    const realProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.REAL, x.shape, inverse);\n    const imagProgram =\n        new FFTProgram(fft_gpu.COMPLEX_FFT.IMAG, x.shape, inverse);\n    const inputs = [\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.real),\n      this.makeComplexComponentTensorInfo(x, xData.complexTensors.imag),\n    ];\n\n    const real = this.compileAndRun<Tensor>(realProgram, inputs);\n    const imag = this.compileAndRun<Tensor>(imagProgram, inputs);\n    const complex = this.complex(real, imag).as2D(x.shape[0], x.shape[1]);\n    real.dispose();\n    imag.dispose();\n    return complex;\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n\n    const flattenIndices = indices.reshape([numSlices, sliceRank]);\n    const flattenX = x.reshape([x.size / sliceSize, sliceSize]);\n    const program =\n        new GatherNDProgram(sliceRank, strides, [numSlices, sliceSize]);\n    const res: Tensor = this.compileAndRun(program, [flattenX, flattenIndices]);\n    return res.reshape(resultShape);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n\n    if (dtype === 'string') {\n      // String type should be handled in CPU memory.\n      const values = getArrayFromDType(dtype, sizeFromShape(shape));\n      values.fill(value as string);\n      return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n    } else {\n      const program = new FillProgram(shape, value as number);\n      const customSetup = program.getCustomSetupFunc(value as number);\n      return this.compileAndRun(program, [], dtype, customSetup);\n    }\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported under string dtype');\n    } else {\n      // TODO(cais, smilkov): Add WebGL shader for onesLike:\n      //   https://github.com/tensorflow/tfjs/issues/1293\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    return this.fill(x.shape, x.dtype === 'string' ? '' : 0, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    // TODO: Use CPU implementation due to the precision problem in Safari.\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  makeTensorInfo(shape: number[], dtype: DataType): TensorInfo {\n    const dataId = this.write(null /* values */, shape, dtype);\n    this.texData.get(dataId).usage = null;\n    return {dataId, shape, dtype};\n  }\n\n  private makeOutput<T extends Tensor>(shape: number[], dtype: DataType): T {\n    const {dataId} = this.makeTensorInfo(shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  private unpackTensor(input: TensorInfo): TensorInfo {\n    const program = new UnpackProgram(input.shape);\n    return this.runWebGLProgram(program, [input], input.dtype);\n  }\n\n  private packTensor(input: TensorInfo): TensorInfo {\n    const program = new PackProgram(input.shape);\n    const preventEagerUnpackingOutput = true;\n    return this.runWebGLProgram(\n        program, [input], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOutput);\n  }\n\n  private packedReshape(input: TensorInfo, afterShape: number[]): TensorInfo {\n    const input3DShape = [\n      webgl_util.getBatchDim(input.shape),\n      ...webgl_util.getRowsCols(input.shape)\n    ] as [number, number, number];\n    const input3D: TensorInfo = {\n      dtype: input.dtype,\n      shape: input3DShape,\n      dataId: input.dataId\n    };\n    const afterShapeAs3D = [\n      webgl_util.getBatchDim(afterShape), ...webgl_util.getRowsCols(afterShape)\n    ] as [number, number, number];\n\n    const program = new ReshapePackedProgram(afterShapeAs3D, input3DShape);\n    const preventEagerUnpackingOfOutput = true;\n    const output = this.runWebGLProgram(\n        program, [input3D], input.dtype, null /* customSetup */,\n        preventEagerUnpackingOfOutput);\n    return {dataId: output.dataId, shape: afterShape, dtype: output.dtype};\n  }\n\n  private decode(dataId: DataId): TensorInfo {\n    const texData = this.texData.get(dataId);\n    const {isPacked, shape, dtype} = texData;\n    const shapeAs3D =\n        webgl_util.getShapeAs3D(shape) as [number, number, number];\n    let program;\n    if (isPacked) {\n      program = new DecodeMatrixPackedProgram(shapeAs3D);\n    } else {\n      program = new DecodeMatrixProgram(shapeAs3D);\n    }\n    const preventEagerUnpackingOfOutput = true;\n    const out = this.runWebGLProgram(\n        program, [{shape: shapeAs3D, dtype, dataId}], dtype,\n        null /* customSetup */, preventEagerUnpackingOfOutput);\n    return {dtype, shape, dataId: out.dataId};\n  }\n\n  runWebGLProgram(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): TensorInfo {\n    const output = this.makeTensorInfo(program.outputShape, outputDtype);\n    const outData = this.texData.get(output.dataId);\n    if (program.packedOutput) {\n      outData.isPacked = true;\n    }\n    if (program.outPackingScheme === tex_util.PackingScheme.DENSE) {\n      const texelShape = tex_util.getDenseTexShape(program.outputShape);\n      // For a densely packed output, we explicitly set texShape\n      // so it doesn't get assigned later according to our typical packing\n      // scheme wherein a single texel can only contain values from adjacent\n      // rows/cols.\n      outData.texShape = texelShape.map(d => d * 2) as [number, number];\n    }\n    if (program.outTexUsage != null) {\n      outData.usage = program.outTexUsage;\n    }\n    if (sizeFromShape(output.shape) === 0) {\n      // Short-circuit the computation since the result is empty (has 0 in its\n      // shape).\n      outData.values = getTypedArrayFromDType(output.dtype as 'float32', 0);\n      return output;\n    }\n\n    const dataToDispose: TensorInfo[] = [];\n    const inputsData: TensorData[] = inputs.map(input => {\n      if (input.dtype === 'complex64') {\n        throw new Error(\n            `GPGPUProgram does not support complex64 input. For complex64 ` +\n            `dtypes, please separate the program into real and imaginary ` +\n            `parts.`);\n      }\n\n      let texData = this.texData.get(input.dataId);\n\n      if (texData.texture == null) {\n        if (!program.packedInputs &&\n            util.sizeFromShape(input.shape) <=\n                env().getNumber('WEBGL_SIZE_UPLOAD_UNIFORM')) {\n          // Upload small tensors that live on the CPU as uniforms, not as\n          // textures. Do this only when the environment supports 32bit floats\n          // due to problems when comparing 16bit floats with 32bit floats.\n          // TODO(https://github.com/tensorflow/tfjs/issues/821): Make it\n          // possible for packed shaders to sample from uniforms.\n          return {\n            shape: input.shape,\n            texData: null,\n            isUniform: true,\n            uniformValues: texData.values as TypedArray\n          };\n        }\n\n        // This ensures that if a packed program's inputs have not yet been\n        // uploaded to the GPU, they get uploaded as packed right off the bat.\n        if (program.packedInputs) {\n          texData.isPacked = true;\n          texData.shape = input.shape;\n        }\n      } else if (!!texData.isPacked !== !!program.packedInputs) {\n        input = texData.isPacked ? this.unpackTensor(input) :\n                                   this.packTensor(input);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n      } else if (\n          texData.isPacked &&\n          !webgl_util.isReshapeFree(texData.shape, input.shape)) {\n        // This is a special case where a texture exists for a tensor\n        // but the shapes are incompatible (due to packing constraints) because\n        // the tensor did not have a chance to go through the packed reshape\n        // shader. This only happens when we reshape the *same* tensor to form\n        // *distinct* inputs to an op, e.g. dotting a vector with itself. This\n        // case will disappear once packed uploading is the default.\n\n        const savedInput = input;\n        const targetShape = input.shape;\n\n        input.shape = texData.shape;\n        input = this.packedReshape(input as Tensor, targetShape);\n        dataToDispose.push(input);\n        texData = this.texData.get(input.dataId);\n\n        savedInput.shape = targetShape;\n      }\n\n      this.uploadToGPU(input.dataId);\n      return {shape: input.shape, texData, isUniform: false};\n    });\n\n    this.uploadToGPU(output.dataId);\n    const outputData:\n        TensorData = {shape: output.shape, texData: outData, isUniform: false};\n    const key = gpgpu_math.makeShaderKey(program, inputsData, outputData);\n    const binary = this.getAndSaveBinary(key, () => {\n      return gpgpu_math.compileProgram(\n          this.gpgpu, program, inputsData, outputData);\n    });\n    const shouldTimeProgram = this.activeTimers != null;\n    let query: WebGLQuery|CPUTimerQuery;\n    if (shouldTimeProgram) {\n      query = this.startTimer();\n    }\n\n    gpgpu_math.runProgram(\n        this.gpgpu, binary, inputsData, outputData, customSetup);\n\n    dataToDispose.forEach(info => this.disposeData(info.dataId));\n\n    if (shouldTimeProgram) {\n      query = this.endTimer(query);\n      this.activeTimers.push(\n          {name: program.constructor.name, query: this.getQueryTime(query)});\n    }\n\n    if (!env().getBool('WEBGL_LAZILY_UNPACK') && outData.isPacked &&\n        preventEagerUnpackingOfOutput === false) {\n      const unpacked = this.unpackTensor(output);\n      this.disposeData(output.dataId);\n      return unpacked;\n    }\n    return output;\n  }\n\n  compileAndRun<K extends TensorInfo>(\n      program: GPGPUProgram, inputs: TensorInfo[], outputDtype?: DataType,\n      customSetup?: (gpgpu: GPGPUContext, webGLProgram: WebGLProgram) => void,\n      preventEagerUnpackingOfOutput = false): K {\n    outputDtype = outputDtype || inputs[0].dtype;\n    const outInfo = this.runWebGLProgram(\n        program, inputs, outputDtype, customSetup,\n        preventEagerUnpackingOfOutput);\n    return ENGINE.makeTensorFromDataId(\n               outInfo.dataId, outInfo.shape, outInfo.dtype) as {} as K;\n  }\n\n  private getAndSaveBinary(key: string, getBinary: () => GPGPUBinary):\n      GPGPUBinary {\n    if (!(key in this.binaryCache)) {\n      this.binaryCache[key] = getBinary();\n    }\n    return this.binaryCache[key];\n  }\n\n  getTextureManager(): TextureManager {\n    return this.textureManager;\n  }\n\n  private disposed = false;\n\n  dispose() {\n    if (this.disposed) {\n      return;\n    }\n    // Avoid disposing the compiled webgl programs during unit testing because\n    // it slows down test execution.\n    if (!env().getBool('IS_TEST')) {\n      const allKeys = Object.keys(this.binaryCache);\n      allKeys.forEach(key => {\n        this.gpgpu.deleteProgram(this.binaryCache[key].webGLProgram);\n        delete this.binaryCache[key];\n      });\n    }\n    this.textureManager.dispose();\n    if (this.canvas != null &&\n        (typeof (HTMLCanvasElement) !== 'undefined' &&\n         this.canvas instanceof HTMLCanvasElement)) {\n      this.canvas.remove();\n    } else {\n      this.canvas = null;\n    }\n    if (this.gpgpuCreatedLocally) {\n      this.gpgpu.program = null;\n      this.gpgpu.dispose();\n    }\n    this.disposed = true;\n  }\n\n  floatPrecision(): 16|32 {\n    if (this.floatPrecisionValue == null) {\n      this.floatPrecisionValue = tidy(() => {\n        if (!env().get('WEBGL_RENDER_FLOAT32_ENABLED')) {\n          // Momentarily switching DEBUG flag to false so we don't throw an\n          // error trying to upload a small value.\n          const debugFlag = env().getBool('DEBUG');\n          env().set('DEBUG', false);\n          const underflowCheckValue = this.abs(scalar(1e-8)).dataSync()[0];\n          env().set('DEBUG', debugFlag);\n\n          if (underflowCheckValue > 0) {\n            return 32;\n          }\n        }\n        return 16;\n      });\n    }\n    return this.floatPrecisionValue;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n\n  private uploadToGPU(dataId: DataId): void {\n    const texData = this.texData.get(dataId);\n    const {shape, dtype, values, texture, usage, isPacked} = texData;\n\n    if (texture != null) {\n      // Array is already on GPU. No-op.\n      return;\n    }\n    const shouldTimeProgram = this.activeTimers != null;\n    let start: number;\n    if (shouldTimeProgram) {\n      start = util.now();\n    }\n\n    let texShape = texData.texShape;\n    if (texShape == null) {\n      texShape = webgl_util.getTextureShapeFromLogicalShape(shape, isPacked);\n      texData.texShape = texShape;\n    }\n\n    if (values != null) {\n      const shapeAs3D = webgl_util.getShapeAs3D(shape);\n\n      let program;\n      let width = texShape[1], height = texShape[0];\n      const isByteArray = values instanceof Uint8Array;\n\n      if (isPacked) {\n        [width, height] = tex_util.getPackedMatrixTextureShapeWidthHeight(\n            texShape[0], texShape[1]);\n        program = new EncodeMatrixPackedProgram(\n            shapeAs3D, [height, width], isByteArray);\n      } else {\n        program =\n            new EncodeMatrixProgram(shapeAs3D, [height, width], isByteArray);\n      }\n\n      const tempDenseInputHandle = this.makeTensorInfo([height, width], dtype);\n      if (isByteArray) {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.PIXELS;\n      } else {\n        this.texData.get(tempDenseInputHandle.dataId).usage =\n            TextureUsage.UPLOAD;\n      }\n      this.gpgpu.uploadDenseMatrixToTexture(\n          this.getTexture(tempDenseInputHandle.dataId), width, height,\n          values as TypedArray);\n\n      // We want the output to remain packed regardless of the value of\n      // WEBGL_PACK.\n      const preventEagerUnpacking = true;\n      const encodedOutputTarget = this.runWebGLProgram(\n          program, [tempDenseInputHandle], dtype, null, preventEagerUnpacking);\n\n      // Have the original texture assume the identity of the encoded output.\n      const outputTexData = this.texData.get(encodedOutputTarget.dataId);\n      texData.texture = outputTexData.texture;\n      texData.texShape = outputTexData.texShape;\n      texData.isPacked = outputTexData.isPacked;\n      texData.usage = outputTexData.usage;\n\n      this.disposeData(tempDenseInputHandle.dataId);\n      this.texData.delete(encodedOutputTarget.dataId);\n\n      // Once uploaded, don't store the values on cpu.\n      texData.values = null;\n      if (shouldTimeProgram) {\n        this.uploadWaitMs += util.now() - start;\n      }\n    } else {\n      const newTexture = this.acquireTexture(texShape, usage, dtype, isPacked);\n      texData.texture = newTexture;\n    }\n  }\n\n  private convertAndCacheOnCPU(dataId: DataId, float32Values?: Float32Array):\n      TypedArray {\n    const texData = this.texData.get(dataId);\n    const {dtype} = texData;\n\n    this.releaseGPUData(dataId);\n\n    if (float32Values != null) {\n      texData.values = float32ToTypedArray(float32Values, dtype as 'float32');\n    }\n    return texData.values as TypedArray;\n  }\n\n  private acquireTexture(\n      texShape: [number, number], texType: TextureUsage, dtype: DataType,\n      isPacked: boolean): WebGLTexture {\n    this.numBytesInGPU += this.computeBytes(texShape, dtype);\n    if (!this.warnedAboutMemory &&\n        this.numBytesInGPU > this.numMBBeforeWarning * 1024 * 1024) {\n      const mb = (this.numBytesInGPU / 1024 / 1024).toFixed(2);\n      this.warnedAboutMemory = true;\n      console.warn(\n          `High memory usage in GPU: ${mb} MB, ` +\n          `most likely due to a memory leak`);\n    }\n    return this.textureManager.acquireTexture(texShape, texType, isPacked);\n  }\n\n  private computeBytes(shape: [number, number], dtype: DataType) {\n    return shape[0] * shape[1] * util.bytesPerElement(dtype);\n  }\n}\n\nif (device_util.isBrowser()) {\n  ENGINE.registerBackend(\n      'webgl', () => new MathBackendWebGL(), 2 /* priority */);\n}\n\nfunction float32ToTypedArray<D extends NumericDataType>(\n    a: Float32Array, dtype: D): DataTypeMap[D] {\n  if (dtype === 'float32' || dtype === 'complex64') {\n    return a as DataTypeMap[D];\n  } else if (dtype === 'int32' || dtype === 'bool') {\n    const result = (dtype === 'int32') ? new Int32Array(a.length) :\n                                         new Uint8Array(a.length);\n    for (let i = 0; i < result.length; ++i) {\n      result[i] = Math.round(a[i]);\n    }\n    return result as DataTypeMap[D];\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {nearestDivisor} from '../util';\n\nimport {PARALLELIZE_THRESHOLD} from './reduce_util';\n\nexport interface SegOpInfo {\n  windowSize: number;\n  batchSize: number;\n  inSize: number;\n  numSegments: number;\n}\n\nexport function segOpComputeOptimalWindowSize(\n    inSize: number, numSegments: number): number {\n  let done = false;\n  let res;\n\n  if (inSize <= PARALLELIZE_THRESHOLD) {\n    res = inSize;\n    done = true;\n  } else {\n    res = nearestDivisor(inSize, Math.floor(Math.sqrt(inSize)));\n  }\n\n  while (!done) {\n    if (res > numSegments || res === inSize) {\n      done = true;\n    } else {\n      res = nearestDivisor(inSize, res + 1);\n    }\n  }\n  return res;\n}\n\nexport function computeOutShape(\n    aShape: number[], axis: number, numSegments: number): number[] {\n  const outShape = [];\n  const rank = aShape.length;\n  for (let dim = 0; dim < rank; dim++) {\n    if (dim !== axis) {\n      outShape.push(aShape[dim]);\n    } else {\n      outShape.push(numSegments);\n    }\n  }\n  return outShape;\n}\n\nexport interface GatherOpShapeInfo {\n  batchSize: number;\n  sliceSize: number;\n  dimSize: number;\n  outputShape: number[];\n}\nexport function collectGatherOpShapeInfo(\n    x: Tensor, indices: Tensor, axis: number): GatherOpShapeInfo {\n  const dimSize = x.shape[axis];\n\n  const outputShape: number[] = [];\n  let batchSize = 1;\n  let sliceSize = 1;\n  for (let i = 0; i < axis; i++) {\n    outputShape.push(x.shape[i]);\n    batchSize *= x.shape[i];\n  }\n\n  for (let i = 0; i < indices.rank; i++) {\n    outputShape.push(indices.shape[i]);\n  }\n\n  for (let i = axis + 1; i < x.rank; i++) {\n    outputShape.push(x.shape[i]);\n    sliceSize *= x.shape[i];\n  }\n\n  return {batchSize, sliceSize, dimSize, outputShape};\n}\n","// A port of an algorithm by Johannes Baagøe <baagoe@baagoe.com>, 2010\n// http://baagoe.com/en/RandomMusings/javascript/\n// https://github.com/nquinlan/better-random-numbers-for-javascript-mirror\n// Original work is under MIT license -\n\n// Copyright (C) 2010 by Johannes Baagøe <baagoe@baagoe.org>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to deal\n// in the Software without restriction, including without limitation the rights\n// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n// copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n// \n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n// \n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n// THE SOFTWARE.\n\n\n\n(function(global, module, define) {\n\nfunction Alea(seed) {\n  var me = this, mash = Mash();\n\n  me.next = function() {\n    var t = 2091639 * me.s0 + me.c * 2.3283064365386963e-10; // 2^-32\n    me.s0 = me.s1;\n    me.s1 = me.s2;\n    return me.s2 = t - (me.c = t | 0);\n  };\n\n  // Apply the seeding algorithm from Baagoe.\n  me.c = 1;\n  me.s0 = mash(' ');\n  me.s1 = mash(' ');\n  me.s2 = mash(' ');\n  me.s0 -= mash(seed);\n  if (me.s0 < 0) { me.s0 += 1; }\n  me.s1 -= mash(seed);\n  if (me.s1 < 0) { me.s1 += 1; }\n  me.s2 -= mash(seed);\n  if (me.s2 < 0) { me.s2 += 1; }\n  mash = null;\n}\n\nfunction copy(f, t) {\n  t.c = f.c;\n  t.s0 = f.s0;\n  t.s1 = f.s1;\n  t.s2 = f.s2;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new Alea(seed),\n      state = opts && opts.state,\n      prng = xg.next;\n  prng.int32 = function() { return (xg.next() * 0x100000000) | 0; }\n  prng.double = function() {\n    return prng() + (prng() * 0x200000 | 0) * 1.1102230246251565e-16; // 2^-53\n  };\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nfunction Mash() {\n  var n = 0xefc8249d;\n\n  var mash = function(data) {\n    data = data.toString();\n    for (var i = 0; i < data.length; i++) {\n      n += data.charCodeAt(i);\n      var h = 0.02519603282416938 * n;\n      n = h >>> 0;\n      h -= n;\n      h *= n;\n      n = h >>> 0;\n      h -= n;\n      n += h * 0x100000000; // 2^32\n    }\n    return (n >>> 0) * 2.3283064365386963e-10; // 2^-32\n  };\n\n  return mash;\n}\n\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.alea = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xor128\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n\n  // Set up generator function.\n  me.next = function() {\n    var t = me.x ^ (me.x << 11);\n    me.x = me.y;\n    me.y = me.z;\n    me.z = me.w;\n    return me.w ^= (me.w >>> 19) ^ t ^ (t >>> 8);\n  };\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor128 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorwow\" prng algorithm by\n// George Marsaglia.  See http://www.jstatsoft.org/v08/i14/paper\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var t = (me.x ^ (me.x >>> 2));\n    me.x = me.y; me.y = me.z; me.z = me.w; me.w = me.v;\n    return (me.d = (me.d + 362437 | 0)) +\n       (me.v = (me.v ^ (me.v << 4)) ^ (t ^ (t << 1))) | 0;\n  };\n\n  me.x = 0;\n  me.y = 0;\n  me.z = 0;\n  me.w = 0;\n  me.v = 0;\n\n  if (seed === (seed | 0)) {\n    // Integer seed.\n    me.x = seed;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 64; k++) {\n    me.x ^= strseed.charCodeAt(k) | 0;\n    if (k == strseed.length) {\n      me.d = me.x << 10 ^ me.x >>> 4;\n    }\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.x = f.x;\n  t.y = f.y;\n  t.z = f.z;\n  t.w = f.w;\n  t.v = f.v;\n  t.d = f.d;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorwow = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","// A Javascript implementaion of the \"xorshift7\" algorithm by\n// François Panneton and Pierre L'ecuyer:\n// \"On the Xorgshift Random Number Generators\"\n// http://saluc.engr.uconn.edu/refs/crypto/rng/panneton05onthexorshift.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    // Update xor generator.\n    var X = me.x, i = me.i, t, v, w;\n    t = X[i]; t ^= (t >>> 7); v = t ^ (t << 24);\n    t = X[(i + 1) & 7]; v ^= t ^ (t >>> 10);\n    t = X[(i + 3) & 7]; v ^= t ^ (t >>> 3);\n    t = X[(i + 4) & 7]; v ^= t ^ (t << 7);\n    t = X[(i + 7) & 7]; t = t ^ (t << 13); v ^= t ^ (t << 9);\n    X[i] = v;\n    me.i = (i + 1) & 7;\n    return v;\n  };\n\n  function init(me, seed) {\n    var j, w, X = [];\n\n    if (seed === (seed | 0)) {\n      // Seed state array using a 32-bit integer.\n      w = X[0] = seed;\n    } else {\n      // Seed state using a string.\n      seed = '' + seed;\n      for (j = 0; j < seed.length; ++j) {\n        X[j & 7] = (X[j & 7] << 15) ^\n            (seed.charCodeAt(j) + X[(j + 1) & 7] << 13);\n      }\n    }\n    // Enforce an array length of 8, not all zeroes.\n    while (X.length < 8) X.push(0);\n    for (j = 0; j < 8 && X[j] === 0; ++j);\n    if (j == 8) w = X[7] = -1; else w = X[j];\n\n    me.x = X;\n    me.i = 0;\n\n    // Discard an initial 256 values.\n    for (j = 256; j > 0; --j) {\n      me.next();\n    }\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.x = f.x.slice();\n  t.i = f.i;\n  return t;\n}\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.x) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xorshift7 = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n","// A Javascript implementaion of Richard Brent's Xorgens xor4096 algorithm.\n//\n// This fast non-cryptographic random number generator is designed for\n// use in Monte-Carlo algorithms. It combines a long-period xorshift\n// generator with a Weyl generator, and it passes all common batteries\n// of stasticial tests for randomness while consuming only a few nanoseconds\n// for each prng generated.  For background on the generator, see Brent's\n// paper: \"Some long-period random number generators using shifts and xors.\"\n// http://arxiv.org/pdf/1004.3115v1.pdf\n//\n// Usage:\n//\n// var xor4096 = require('xor4096');\n// random = xor4096(1);                        // Seed with int32 or string.\n// assert.equal(random(), 0.1520436450538547); // (0, 1) range, 53 bits.\n// assert.equal(random.int32(), 1806534897);   // signed int32, 32 bits.\n//\n// For nonzero numeric keys, this impelementation provides a sequence\n// identical to that by Brent's xorgens 3 implementaion in C.  This\n// implementation also provides for initalizing the generator with\n// string seeds, or for saving and restoring the state of the generator.\n//\n// On Chrome, this prng benchmarks about 2.1 times slower than\n// Javascript's built-in Math.random().\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this;\n\n  // Set up generator function.\n  me.next = function() {\n    var w = me.w,\n        X = me.X, i = me.i, t, v;\n    // Update Weyl generator.\n    me.w = w = (w + 0x61c88647) | 0;\n    // Update xor generator.\n    v = X[(i + 34) & 127];\n    t = X[i = ((i + 1) & 127)];\n    v ^= v << 13;\n    t ^= t << 17;\n    v ^= v >>> 15;\n    t ^= t >>> 12;\n    // Update Xor generator array state.\n    v = X[i] = v ^ t;\n    me.i = i;\n    // Result is the combination.\n    return (v + (w ^ (w >>> 16))) | 0;\n  };\n\n  function init(me, seed) {\n    var t, v, i, j, w, X = [], limit = 128;\n    if (seed === (seed | 0)) {\n      // Numeric seeds initialize v, which is used to generates X.\n      v = seed;\n      seed = null;\n    } else {\n      // String seeds are mixed into v and X one character at a time.\n      seed = seed + '\\0';\n      v = 0;\n      limit = Math.max(limit, seed.length);\n    }\n    // Initialize circular array and weyl value.\n    for (i = 0, j = -32; j < limit; ++j) {\n      // Put the unicode characters into the array, and shuffle them.\n      if (seed) v ^= seed.charCodeAt((j + 32) % seed.length);\n      // After 32 shuffles, take v as the starting w value.\n      if (j === 0) w = v;\n      v ^= v << 10;\n      v ^= v >>> 15;\n      v ^= v << 4;\n      v ^= v >>> 13;\n      if (j >= 0) {\n        w = (w + 0x61c88647) | 0;     // Weyl.\n        t = (X[j & 127] ^= (v + w));  // Combine xor and weyl to init array.\n        i = (0 == t) ? i + 1 : 0;     // Count zeroes.\n      }\n    }\n    // We have detected all zeroes; make the key nonzero.\n    if (i >= 128) {\n      X[(seed && seed.length || 0) & 127] = -1;\n    }\n    // Run the generator 512 times to further mix the state before using it.\n    // Factoring this as a function slows the main generator, so it is just\n    // unrolled here.  The weyl generator is not advanced while warming up.\n    i = 127;\n    for (j = 4 * 128; j > 0; --j) {\n      v = X[(i + 34) & 127];\n      t = X[i = ((i + 1) & 127)];\n      v ^= v << 13;\n      t ^= t << 17;\n      v ^= v >>> 15;\n      t ^= t >>> 12;\n      X[i] = v ^ t;\n    }\n    // Storing state as object members is faster than using closure variables.\n    me.w = w;\n    me.X = X;\n    me.i = i;\n  }\n\n  init(me, seed);\n}\n\nfunction copy(f, t) {\n  t.i = f.i;\n  t.w = f.w;\n  t.X = f.X.slice();\n  return t;\n};\n\nfunction impl(seed, opts) {\n  if (seed == null) seed = +(new Date);\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (state.X) copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.xor4096 = impl;\n}\n\n})(\n  this,                                     // window object or global\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n","// A Javascript implementaion of the \"Tyche-i\" prng algorithm by\n// Samuel Neves and Filipe Araujo.\n// See https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n\n(function(global, module, define) {\n\nfunction XorGen(seed) {\n  var me = this, strseed = '';\n\n  // Set up generator function.\n  me.next = function() {\n    var b = me.b, c = me.c, d = me.d, a = me.a;\n    b = (b << 25) ^ (b >>> 7) ^ c;\n    c = (c - d) | 0;\n    d = (d << 24) ^ (d >>> 8) ^ a;\n    a = (a - b) | 0;\n    me.b = b = (b << 20) ^ (b >>> 12) ^ c;\n    me.c = c = (c - d) | 0;\n    me.d = (d << 16) ^ (c >>> 16) ^ a;\n    return me.a = (a - b) | 0;\n  };\n\n  /* The following is non-inverted tyche, which has better internal\n   * bit diffusion, but which is about 25% slower than tyche-i in JS.\n  me.next = function() {\n    var a = me.a, b = me.b, c = me.c, d = me.d;\n    a = (me.a + me.b | 0) >>> 0;\n    d = me.d ^ a; d = d << 16 ^ d >>> 16;\n    c = me.c + d | 0;\n    b = me.b ^ c; b = b << 12 ^ d >>> 20;\n    me.a = a = a + b | 0;\n    d = d ^ a; me.d = d = d << 8 ^ d >>> 24;\n    me.c = c = c + d | 0;\n    b = b ^ c;\n    return me.b = (b << 7 ^ b >>> 25);\n  }\n  */\n\n  me.a = 0;\n  me.b = 0;\n  me.c = 2654435769 | 0;\n  me.d = 1367130551;\n\n  if (seed === Math.floor(seed)) {\n    // Integer seed.\n    me.a = (seed / 0x100000000) | 0;\n    me.b = seed | 0;\n  } else {\n    // String seed.\n    strseed += seed;\n  }\n\n  // Mix in string seed, then discard an initial batch of 64 values.\n  for (var k = 0; k < strseed.length + 20; k++) {\n    me.b ^= strseed.charCodeAt(k) | 0;\n    me.next();\n  }\n}\n\nfunction copy(f, t) {\n  t.a = f.a;\n  t.b = f.b;\n  t.c = f.c;\n  t.d = f.d;\n  return t;\n};\n\nfunction impl(seed, opts) {\n  var xg = new XorGen(seed),\n      state = opts && opts.state,\n      prng = function() { return (xg.next() >>> 0) / 0x100000000; };\n  prng.double = function() {\n    do {\n      var top = xg.next() >>> 11,\n          bot = (xg.next() >>> 0) / 0x100000000,\n          result = (top + bot) / (1 << 21);\n    } while (result === 0);\n    return result;\n  };\n  prng.int32 = xg.next;\n  prng.quick = prng;\n  if (state) {\n    if (typeof(state) == 'object') copy(state, xg);\n    prng.state = function() { return copy(xg, {}); }\n  }\n  return prng;\n}\n\nif (module && module.exports) {\n  module.exports = impl;\n} else if (define && define.amd) {\n  define(function() { return impl; });\n} else {\n  this.tychei = impl;\n}\n\n})(\n  this,\n  (typeof module) == 'object' && module,    // present in node.js\n  (typeof define) == 'function' && define   // present with an AMD loader\n);\n\n\n","/*\nCopyright 2014 David Bau.\n\nPermission is hereby granted, free of charge, to any person obtaining\na copy of this software and associated documentation files (the\n\"Software\"), to deal in the Software without restriction, including\nwithout limitation the rights to use, copy, modify, merge, publish,\ndistribute, sublicense, and/or sell copies of the Software, and to\npermit persons to whom the Software is furnished to do so, subject to\nthe following conditions:\n\nThe above copyright notice and this permission notice shall be\nincluded in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND,\nEXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\nMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\nIN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\nCLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\nTORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\nSOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n*/\n\n(function (pool, math) {\n//\n// The following constants are related to IEEE 754 limits.\n//\nvar global = this,\n    width = 256,        // each RC4 output is 0 <= x < 256\n    chunks = 6,         // at least six RC4 outputs for each double\n    digits = 52,        // there are 52 significant digits in a double\n    rngname = 'random', // rngname: name for Math.random and Math.seedrandom\n    startdenom = math.pow(width, chunks),\n    significance = math.pow(2, digits),\n    overflow = significance * 2,\n    mask = width - 1,\n    nodecrypto;         // node.js crypto module, initialized at the bottom.\n\n//\n// seedrandom()\n// This is the seedrandom function described above.\n//\nfunction seedrandom(seed, options, callback) {\n  var key = [];\n  options = (options == true) ? { entropy: true } : (options || {});\n\n  // Flatten the seed string or build one from local entropy if needed.\n  var shortseed = mixkey(flatten(\n    options.entropy ? [seed, tostring(pool)] :\n    (seed == null) ? autoseed() : seed, 3), key);\n\n  // Use the seed to initialize an ARC4 generator.\n  var arc4 = new ARC4(key);\n\n  // This function returns a random double in [0, 1) that contains\n  // randomness in every bit of the mantissa of the IEEE 754 value.\n  var prng = function() {\n    var n = arc4.g(chunks),             // Start with a numerator n < 2 ^ 48\n        d = startdenom,                 //   and denominator d = 2 ^ 48.\n        x = 0;                          //   and no 'extra last byte'.\n    while (n < significance) {          // Fill up all significant digits by\n      n = (n + x) * width;              //   shifting numerator and\n      d *= width;                       //   denominator and generating a\n      x = arc4.g(1);                    //   new least-significant-byte.\n    }\n    while (n >= overflow) {             // To avoid rounding up, before adding\n      n /= 2;                           //   last byte, shift everything\n      d /= 2;                           //   right using integer math until\n      x >>>= 1;                         //   we have exactly the desired bits.\n    }\n    return (n + x) / d;                 // Form the number within [0, 1).\n  };\n\n  prng.int32 = function() { return arc4.g(4) | 0; }\n  prng.quick = function() { return arc4.g(4) / 0x100000000; }\n  prng.double = prng;\n\n  // Mix the randomness into accumulated entropy.\n  mixkey(tostring(arc4.S), pool);\n\n  // Calling convention: what to return as a function of prng, seed, is_math.\n  return (options.pass || callback ||\n      function(prng, seed, is_math_call, state) {\n        if (state) {\n          // Load the arc4 state from the given state if it has an S array.\n          if (state.S) { copy(state, arc4); }\n          // Only provide the .state method if requested via options.state.\n          prng.state = function() { return copy(arc4, {}); }\n        }\n\n        // If called as a method of Math (Math.seedrandom()), mutate\n        // Math.random because that is how seedrandom.js has worked since v1.0.\n        if (is_math_call) { math[rngname] = prng; return seed; }\n\n        // Otherwise, it is a newer calling convention, so return the\n        // prng directly.\n        else return prng;\n      })(\n  prng,\n  shortseed,\n  'global' in options ? options.global : (this == math),\n  options.state);\n}\nmath['seed' + rngname] = seedrandom;\n\n//\n// ARC4\n//\n// An ARC4 implementation.  The constructor takes a key in the form of\n// an array of at most (width) integers that should be 0 <= x < (width).\n//\n// The g(count) method returns a pseudorandom integer that concatenates\n// the next (count) outputs from ARC4.  Its return value is a number x\n// that is in the range 0 <= x < (width ^ count).\n//\nfunction ARC4(key) {\n  var t, keylen = key.length,\n      me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n\n  // The empty key [] is treated as [0].\n  if (!keylen) { key = [keylen++]; }\n\n  // Set up S using the standard key scheduling algorithm.\n  while (i < width) {\n    s[i] = i++;\n  }\n  for (i = 0; i < width; i++) {\n    s[i] = s[j = mask & (j + key[i % keylen] + (t = s[i]))];\n    s[j] = t;\n  }\n\n  // The \"g\" method returns the next (count) outputs as one number.\n  (me.g = function(count) {\n    // Using instance members instead of closure state nearly doubles speed.\n    var t, r = 0,\n        i = me.i, j = me.j, s = me.S;\n    while (count--) {\n      t = s[i = mask & (i + 1)];\n      r = r * width + s[mask & ((s[i] = s[j = mask & (j + t)]) + (s[j] = t))];\n    }\n    me.i = i; me.j = j;\n    return r;\n    // For robust unpredictability, the function call below automatically\n    // discards an initial batch of values.  This is called RC4-drop[256].\n    // See http://google.com/search?q=rsa+fluhrer+response&btnI\n  })(width);\n}\n\n//\n// copy()\n// Copies internal state of ARC4 to or from a plain object.\n//\nfunction copy(f, t) {\n  t.i = f.i;\n  t.j = f.j;\n  t.S = f.S.slice();\n  return t;\n};\n\n//\n// flatten()\n// Converts an object tree to nested arrays of strings.\n//\nfunction flatten(obj, depth) {\n  var result = [], typ = (typeof obj), prop;\n  if (depth && typ == 'object') {\n    for (prop in obj) {\n      try { result.push(flatten(obj[prop], depth - 1)); } catch (e) {}\n    }\n  }\n  return (result.length ? result : typ == 'string' ? obj : obj + '\\0');\n}\n\n//\n// mixkey()\n// Mixes a string seed into a key that is an array of integers, and\n// returns a shortened string seed that is equivalent to the result key.\n//\nfunction mixkey(seed, key) {\n  var stringseed = seed + '', smear, j = 0;\n  while (j < stringseed.length) {\n    key[mask & j] =\n      mask & ((smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++));\n  }\n  return tostring(key);\n}\n\n//\n// autoseed()\n// Returns an object for autoseeding, using window.crypto and Node crypto\n// module if available.\n//\nfunction autoseed() {\n  try {\n    var out;\n    if (nodecrypto && (out = nodecrypto.randomBytes)) {\n      // The use of 'out' to remember randomBytes makes tight minified code.\n      out = out(width);\n    } else {\n      out = new Uint8Array(width);\n      (global.crypto || global.msCrypto).getRandomValues(out);\n    }\n    return tostring(out);\n  } catch (e) {\n    var browser = global.navigator,\n        plugins = browser && browser.plugins;\n    return [+new Date, global, plugins, global.screen, tostring(pool)];\n  }\n}\n\n//\n// tostring()\n// Converts an array of charcodes to a string\n//\nfunction tostring(a) {\n  return String.fromCharCode.apply(0, a);\n}\n\n//\n// When seedrandom.js is loaded, we immediately mix a few bits\n// from the built-in RNG into the entropy pool.  Because we do\n// not want to interfere with deterministic PRNG state later,\n// seedrandom will not call math.random on its own again after\n// initialization.\n//\nmixkey(math.random(), pool);\n\n//\n// Nodejs and AMD support: export the implementation as a module using\n// either convention.\n//\nif ((typeof module) == 'object' && module.exports) {\n  module.exports = seedrandom;\n  // When in node.js, try using crypto package for autoseeding.\n  try {\n    nodecrypto = require('crypto');\n  } catch (ex) {}\n} else if ((typeof define) == 'function' && define.amd) {\n  define(function() { return seedrandom; });\n}\n\n// End anonymous scope, and pass initial values.\n})(\n  [],     // pool: entropy pool starts empty\n  Math    // math: package containing random, pow, and seedrandom\n);\n","// A library of seedable RNGs implemented in Javascript.\n//\n// Usage:\n//\n// var seedrandom = require('seedrandom');\n// var random = seedrandom(1); // or any seed.\n// var x = random();       // 0 <= x < 1.  Every bit is random.\n// var x = random.quick(); // 0 <= x < 1.  32 bits of randomness.\n\n// alea, a 53-bit multiply-with-carry generator by Johannes Baagøe.\n// Period: ~2^116\n// Reported to pass all BigCrush tests.\nvar alea = require('./lib/alea');\n\n// xor128, a pure xor-shift generator by George Marsaglia.\n// Period: 2^128-1.\n// Reported to fail: MatrixRank and LinearComp.\nvar xor128 = require('./lib/xor128');\n\n// xorwow, George Marsaglia's 160-bit xor-shift combined plus weyl.\n// Period: 2^192-2^32\n// Reported to fail: CollisionOver, SimpPoker, and LinearComp.\nvar xorwow = require('./lib/xorwow');\n\n// xorshift7, by François Panneton and Pierre L'ecuyer, takes\n// a different approach: it adds robustness by allowing more shifts\n// than Marsaglia's original three.  It is a 7-shift generator\n// with 256 bits, that passes BigCrush with no systmatic failures.\n// Period 2^256-1.\n// No systematic BigCrush failures reported.\nvar xorshift7 = require('./lib/xorshift7');\n\n// xor4096, by Richard Brent, is a 4096-bit xor-shift with a\n// very long period that also adds a Weyl generator. It also passes\n// BigCrush with no systematic failures.  Its long period may\n// be useful if you have many generators and need to avoid\n// collisions.\n// Period: 2^4128-2^32.\n// No systematic BigCrush failures reported.\nvar xor4096 = require('./lib/xor4096');\n\n// Tyche-i, by Samuel Neves and Filipe Araujo, is a bit-shifting random\n// number generator derived from ChaCha, a modern stream cipher.\n// https://eden.dei.uc.pt/~sneves/pubs/2011-snfa2.pdf\n// Period: ~2^127\n// No systematic BigCrush failures reported.\nvar tychei = require('./lib/tychei');\n\n// The original ARC4-based prng included in this library.\n// Period: ~2^1600\nvar sr = require('./seedrandom');\n\nsr.alea = alea;\nsr.xor128 = xor128;\nsr.xorwow = xorwow;\nsr.xorshift7 = xorshift7;\nsr.xor4096 = xor4096;\nsr.tychei = tychei;\n\nmodule.exports = sr;\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {AddNInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Adds a list of `tf.Tensor`s element-wise, each with the same shape and dtype.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor1d([3, 4]);\n * const c = tf.tensor1d([5, 6]);\n *\n * tf.addN([a, b, c]).print();\n * ```\n * @param tensors A list of tensors with the same shape and dtype.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction addN_<T extends Tensor>(tensors: Array<T|TensorLike>): T {\n  util.assert(\n      Array.isArray(tensors),\n      () => 'The argument passed to tf.addN() must be a list of tensors');\n  util.assert(\n      tensors.length >= 1,\n      () => `Must pass at least one tensor to tf.addN(), but got ` +\n          `${tensors.length}`);\n\n  const $tensors =\n      tensors.map((t, i) => convertToTensor(t, `tensors${i}`, 'addN'));\n\n  const firstTensor = $tensors[0];\n  $tensors.forEach(t => {\n    if (t.dtype !== firstTensor.dtype) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same dtype');\n    }\n  });\n\n  $tensors.forEach(t => {\n    if (!util.arraysEqual(t.shape, firstTensor.shape)) {\n      throw new Error(\n          'All tensors passed to tf.addN() must have the same shape');\n    }\n  });\n\n  const forward: ForwardFunc<Tensor> = (backend, save) =>\n      backend.addN($tensors);\n\n  const inputs: AddNInputs = $tensors;\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as {} as NamedTensorMap, null /* grad */,\n             'AddN') as T;\n}\n\nexport const addN = op({addN_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {deprecationWarn} from '../globals';\nimport {Tensor, Tensor4D} from '../tensor';\nimport {Rank} from '../types';\n\nexport function warnDeprecation(): void {\n  deprecationWarn(\n      'tf.batchNormalization() is going away. ' +\n      'Use tf.batchNorm() instead, and note the positional argument change ' +\n      'of scale, offset, and varianceEpsilon');\n}\n\nexport function xAs4D<R extends Rank>(x: Tensor<R>) {\n  let x4D: Tensor4D;\n  if (x.rank === 0 || x.rank === 1) {\n    x4D = x.as4D(1, 1, 1, x.size);\n  } else if (x.rank === 2) {\n    x4D = x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  } else {\n    x4D = x as Tensor4D;\n  }\n\n  return x4D;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {FusedBatchNormAttrs, FusedBatchNormInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor, Tensor1D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {warnDeprecation, xAs4D} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * @deprecated Please use `tf.batchNorm` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike): Tensor<R> {\n  warnDeprecation();\n  return batchNorm_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n/**\n * Batch normalization.\n *\n * As described in\n * [http://arxiv.org/abs/1502.03167](http://arxiv.org/abs/1502.03167).\n *\n * Mean, variance, scale, and offset can be of two shapes:\n *   - The same shape as the input.\n *   - In the common case, the depth dimension is the last dimension of x, so\n *     the values would be an `tf.Tensor1D` of shape [depth].\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that parameters passed are of given rank\n *   - `tf.batchNorm2d`\n *   - `tf.batchNorm3d`\n *   - `tf.batchNorm4d`\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction batchNorm_<R extends Rank>(\n    x: Tensor<R>|TensorLike, mean: Tensor<R>|Tensor1D|TensorLike,\n    variance: Tensor<R>|Tensor1D|TensorLike,\n    offset?: Tensor<R>|Tensor1D|TensorLike,\n    scale?: Tensor<R>|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor<R> {\n  if (varianceEpsilon == null) {\n    varianceEpsilon = 0.001;\n  }\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor<R>|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor<R>|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n\n  util.assert(\n      $mean.rank === $variance.rank,\n      () => 'Batch normalization gradient requires mean and variance to have ' +\n          'equal ranks.');\n  util.assert(\n      $offset == null || $mean.rank === $offset.rank,\n      () => 'Batch normalization gradient requires mean and offset to have ' +\n          'equal ranks.');\n  util.assert(\n      $scale == null || $mean.rank === $scale.rank,\n      () => 'Batch normalization gradient requires mean and scale to have ' +\n          'equal ranks.');\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const x4D: Tensor4D = xAs4D($x);\n\n    const res = backend.batchNormalization(\n        x4D, as1DOr4D($mean), as1DOr4D($variance), varianceEpsilon,\n        as1DOr4D($scale), as1DOr4D($offset));\n\n    save([$x, $mean, $variance, $scale]);\n\n    return res;\n  };\n\n  const inputs: FusedBatchNormInputs =\n      {x: $x, scale: $scale, offset: $offset, mean: $mean, variance: $variance};\n\n  const attrs: FusedBatchNormAttrs = {varianceEpsilon};\n\n  const res = ENGINE.runKernelFunc(\n      forward, inputs as {} as NamedTensorMap, null /* gradient */,\n      'FusedBatchNorm', attrs as {} as NamedAttrMap);\n\n  return res.reshape($x.shape);\n}\n\nfunction as1DOr4D(x: Tensor): Tensor4D|Tensor1D {\n  if (x == null) {\n    return null;\n  }\n  if (x.rank === 0) {\n    return x.as1D();\n  } else if (x.rank === 1) {\n    return x as Tensor1D;\n  } else if (x.rank === 2) {\n    return x.as4D(1, 1, x.shape[0], x.shape[1]);\n  } else if (x.rank === 3) {\n    return x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  return x as Tensor4D;\n}\n\n// todo(yassogba): Remove batchNormalization since it is deprecated.\nexport const batchNormalization = op({batchNormalization_});\nexport const batchNorm = op({batchNorm_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 2D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike, scale?: Tensor2D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor2D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor2D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 2,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 2 || $mean.rank === 1,\n      () => `Error in batchNorm2D: mean must be rank 2 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 2 || $variance.rank === 1,\n      () => `Error in batchNorm2D: variance must be rank 2 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 2 || $scale.rank === 1,\n        () => `Error in batchNorm2D: scale must be rank 2 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 2 || $offset.rank === 1,\n        () => `Error in batchNorm2D: offset must be rank 2 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm2d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization2d_(\n    x: Tensor2D|TensorLike, mean: Tensor2D|Tensor1D|TensorLike,\n    variance: Tensor2D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor2D|Tensor1D|TensorLike,\n    offset?: Tensor2D|Tensor1D|TensorLike): Tensor2D {\n  warnDeprecation();\n  return batchNorm2d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization2d since it is deprecated.\nexport const batchNormalization2d = op({batchNormalization2d_});\nexport const batchNorm2d = op({batchNorm2d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 3D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike, scale?: Tensor3D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor3D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor3D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 3,\n      () => `Error in batchNorm3D: x must be rank 3 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 3 || $mean.rank === 1,\n      () => `Error in batchNorm3D: mean must be rank 3 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 3 || $variance.rank === 1,\n      () => `Error in batchNorm3D: variance must be rank 3 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 3 || $scale.rank === 1,\n        () => `Error in batchNorm3D: scale must be rank 3 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 3 || $offset.rank === 1,\n        () => `Error in batchNorm3D: offset must be rank 3 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm3d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization3d_(\n    x: Tensor3D|TensorLike, mean: Tensor3D|Tensor1D|TensorLike,\n    variance: Tensor3D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor3D|Tensor1D|TensorLike,\n    offset?: Tensor3D|Tensor1D|TensorLike): Tensor3D {\n  warnDeprecation();\n  return batchNorm3d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization3d since it is deprecated.\nexport const batchNormalization3d = op({batchNormalization3d_});\nexport const batchNorm3d = op({batchNorm3d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchNorm} from './batchnorm';\nimport {warnDeprecation} from './batchnorm_util';\nimport {op} from './operation';\n\n/**\n * Batch normalization, strictly for 4D. For the more relaxed version, see\n * `tf.batchNorm`.\n *\n * @param x The input Tensor.\n * @param mean A mean Tensor.\n * @param variance A variance Tensor.\n * @param offset An offset Tensor.\n * @param scale A scale Tensor.\n * @param varianceEpsilon A small float number to avoid dividing by 0.\n */\nfunction batchNorm4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike, scale?: Tensor4D|Tensor1D|TensorLike,\n    varianceEpsilon?: number): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'batchNorm');\n  const $mean = convertToTensor(mean, 'mean', 'batchNorm');\n  const $variance = convertToTensor(variance, 'variance', 'batchNorm');\n  let $scale: Tensor4D|Tensor1D;\n  if (scale != null) {\n    $scale = convertToTensor(scale, 'scale', 'batchNorm');\n  }\n  let $offset: Tensor4D|Tensor1D;\n  if (offset != null) {\n    $offset = convertToTensor(offset, 'offset', 'batchNorm');\n  }\n  util.assert(\n      $x.rank === 4,\n      () => `Error in batchNorm4D: x must be rank 4 but got rank ` +\n          `${$x.rank}.`);\n  util.assert(\n      $mean.rank === 4 || $mean.rank === 1,\n      () => `Error in batchNorm4D: mean must be rank 4 or rank 1 but ` +\n          `got rank ${$mean.rank}.`);\n  util.assert(\n      $variance.rank === 4 || $variance.rank === 1,\n      () => `Error in batchNorm4D: variance must be rank 4 or rank 1 ` +\n          `but got rank ${$variance.rank}.`);\n  if ($scale != null) {\n    util.assert(\n        $scale.rank === 4 || $scale.rank === 1,\n        () => `Error in batchNorm4D: scale must be rank 4 or rank 1 ` +\n            `but got rank ${$scale.rank}.`);\n  }\n  if ($offset != null) {\n    util.assert(\n        $offset.rank === 4 || $offset.rank === 1,\n        () => `Error in batchNorm4D: offset must be rank 4 or rank 1 ` +\n            `but got rank ${$offset.rank}.`);\n  }\n  return batchNorm($x, $mean, $variance, $offset, $scale, varianceEpsilon);\n}\n\n/**\n * @deprecated Please use `tf.batchNorm4d` instead and note the positional\n *     argument change of scale, offset, and varianceEpsilon.\n */\nfunction batchNormalization4d_(\n    x: Tensor4D|TensorLike, mean: Tensor4D|Tensor1D|TensorLike,\n    variance: Tensor4D|Tensor1D|TensorLike, varianceEpsilon = .001,\n    scale?: Tensor4D|Tensor1D|TensorLike,\n    offset?: Tensor4D|Tensor1D|TensorLike): Tensor4D {\n  warnDeprecation();\n  return batchNorm4d_(x, mean, variance, offset, scale, varianceEpsilon);\n}\n\n// todo(yassogba): Remove batchNormalization4d since it is deprecated.\nexport const batchNormalization4d = op({batchNormalization4d_});\nexport const batchNorm4d = op({batchNorm4d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelBackend} from '../backends/backend';\nimport {ENGINE} from '../engine';\nimport {BroadcastTo, BroadCastToAttrs, BroadcastToInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Broadcast an array to a compatible shape NumPy-style.\n *\n * The tensor's shape is compared to the broadcast shape from end to beginning.\n * Ones are prepended to the tensor's shape until is has the same length as\n * the broadcast shape. If input.shape[i]==shape[i], the (i+1)-th axis is\n * already broadcast-compatible. If input.shape[i]==1 and shape[i]==N, then\n * the input tensor is tiled N times along that axis (using tf.tile).\n *\n * @param input The tensor that is to be broadcasted.\n * @param shape The input is to be broadcast to this shape.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction broadcastTo_<R extends Rank>(\n    x: Tensor|TensorLike, shape: ShapeMap[R]): Tensor<R> {\n  let input = convertToTensor(x, 'broadcastTo', 'x');\n  const xShape = input.shape;\n\n  if (shape.some(d => !(d > 0) || d % 1 !== 0)) {\n    throw new Error(`broadcastTo(): Invalid broadcast shape [${shape}].`);\n  }\n\n  if (shape.length < input.rank) {\n    throw new Error(`broadcastTo(): shape.length=${shape.length} < input.rank=${\n        input.rank}.`);\n  }\n\n  if (shape.length > input.rank) {\n    const newShape = input.shape.slice();\n    while (newShape.length < shape.length) {\n      newShape.unshift(1);\n    }\n    input = input.reshape(newShape);\n  }\n\n  const inputShape = input.shape;\n  const reps: number[] = Array.from(shape);\n  for (let i = shape.length - 1; i >= 0; i--) {\n    if (inputShape[i] === shape[i]) {\n      reps[i] = 1;\n    } else if (input.shape[i] !== 1) {\n      throw new Error(\n          `broadcastTo(): [${xShape}] cannot be broadcast to [${shape}].`);\n    }\n  }\n  const axes = reps.map((n, i) => n > 1 ? i : -1).filter(i => i >= 0);\n\n  if (axes.length === 0) {\n    return input.clone() as Tensor<R>;\n  }\n\n  const forward = (backend: KernelBackend) => backend.tile(input, reps);\n  const keepDims = true;\n  const backward = (dy: Tensor) => ({x: () => dy.sum(axes, keepDims)});\n\n  const inputs: BroadcastToInputs = {x: input};\n  const attrs: BroadCastToAttrs = {shape, inputShape};\n\n  return ENGINE.runKernelFunc(\n             forward, inputs as unknown as NamedTensorMap, backward,\n             BroadcastTo, attrs as unknown as NamedAttrMap) as Tensor<R>;\n}\n\nexport const broadcastTo = op({broadcastTo_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Identity} from '../kernel_names';\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Creates a new tensor with the same values and shape as the specified\n * tensor.\n *\n * ```js\n * const x = tf.tensor([1, 2]);\n *\n * x.clone().print();\n * ```\n *\n * @param x The tensor to clone.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction clone_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'clone', null);\n  const forward = () =>\n      ENGINE.makeTensorFromDataId($x.dataId, $x.shape, $x.dtype) as T;\n\n  // Note this op is called tf.identity in python. Hence the kernel name used\n  // here.\n  return ENGINE.runKernelFunc(forward, {x: $x}, null /* grad */, Identity);\n}\n\nexport const clone = op({clone_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {whereImpl} from '../backends/where_impl';\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of `NOT x` element-wise.\n *\n * ```js\n * const a = tf.tensor1d([false, true], 'bool');\n *\n * a.logicalNot().print();\n * ```\n *\n * @param x The input tensor. Must be of dtype 'bool'.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalNot_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'logicalNot', 'bool');\n  return ENGINE.runKernelFunc(backend => backend.logicalNot($x), {$x});\n}\n\n/**\n * Returns the truth value of `a AND b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalAnd(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalAnd_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalAnd', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalAnd', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.logicalAnd($a, $b), {a: $a, b: $b},\n             null /* grad */, 'LogicalAnd') as T;\n}\n\n/**\n * Returns the truth value of `a OR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalOr(b).print();\n * ```\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalOr_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalOr', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalOr', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.logicalOr($a, $b), {$a, $b}) as\n      T;\n}\n\n/**\n * Returns the truth value of `a XOR b` element-wise. Supports broadcasting.\n *\n * ```js\n * const a = tf.tensor1d([false, false, true, true], 'bool');\n * const b = tf.tensor1d([false, true, false, true], 'bool');\n *\n * a.logicalXor(b).print();\n * ```\n *\n * @param a The first input tensor. Must be of dtype bool.\n * @param b The second input tensor. Must be of dtype bool.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction logicalXor_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'logicalXor', 'bool');\n  const $b = convertToTensor(b, 'b', 'logicalXor', 'bool');\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  // x ^ y = (x | y) & ~(x & y)\n  return logicalOr(a, b).logicalAnd(logicalAnd(a, b).logicalNot()) as T;\n}\n\n/**\n * Returns the elements, either `a` or `b` depending on the `condition`.\n *\n * If the condition is true, select from `a`, otherwise select from `b`.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const a = tf.tensor1d([1 , 2, 3]);\n * const b = tf.tensor1d([-1, -2, -3]);\n *\n * a.where(cond, b).print();\n * ```\n *\n * @param condition The input condition. Must be of dtype bool.\n * @param a If `condition` is rank 1, `a` may have a higher rank but\n *     its first dimension must match the size of `condition`.\n * @param b A tensor with the same shape and type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction where_<T extends Tensor>(\n    condition: Tensor|TensorLike, a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'where');\n  const $b = convertToTensor(b, 'b', 'where');\n  const $condition = convertToTensor(condition, 'condition', 'where', 'bool');\n\n  assertShapesMatch($a.shape, $b.shape, 'Error in where: ');\n\n  if ($condition.rank === 1) {\n    // If condition rank is 1, then the first dimension must match the size of\n    // condition.\n    assert(\n        $condition.shape[0] === $a.shape[0],\n        () => 'The first dimension of `a` must match the size of `condition`.');\n  } else {\n    // A must have the same shape as condition.\n    assertShapesMatch($condition.shape, $b.shape, 'Error in where: ');\n  }\n\n  // TODO(julianoks): Return null for condition gradient\n  // when backprop supports it.\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$condition] = saved;\n    return {\n      $condition: () => zerosLike($condition).toFloat(),\n      $a: () => dy.mul($condition.cast(dy.dtype)),\n      $b: () => dy.mul($condition.logicalNot().cast(dy.dtype))\n    } as {$a: () => T, $b: () => T, $condition: () => T};\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.select($condition, $a, $b);\n    save([$condition]);\n    return res;\n  }, {$condition, $a, $b}, grad) as T;\n}\n\n/**\n * Returns the coordinates of true elements of condition.\n *\n * The coordinates are returned in a 2-D tensor where the first dimension (rows)\n * represents the number of true elements, and the second dimension (columns)\n * represents the coordinates of the true elements. Keep in mind, the shape of\n * the output tensor can vary depending on how many true values there are in\n * input. Indices are output in row-major order. The resulting tensor has the\n * shape `[numTrueElems, condition.rank]`.\n *\n * This is analogous to calling the python `tf.where(cond)` without an x or y.\n *\n * ```js\n * const cond = tf.tensor1d([false, false, true], 'bool');\n * const result = await tf.whereAsync(cond);\n * result.print();\n * ```\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nasync function whereAsync_(condition: Tensor|TensorLike): Promise<Tensor2D> {\n  const $condition =\n      convertToTensor(condition, 'condition', 'whereAsync', 'bool');\n  const vals = await $condition.data();\n  const res = whereImpl($condition.shape, vals);\n  if (condition !== $condition) {\n    $condition.dispose();\n  }\n  return res;\n}\n\nexport const logicalAnd = op({logicalAnd_});\nexport const logicalNot = op({logicalNot_});\nexport const logicalOr = op({logicalOr_});\nexport const logicalXor = op({logicalXor_});\nexport const where = op({where_});\nexport const whereAsync = whereAsync_;\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {div} from './div';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Divides two `tf.Tensor`s element-wise, A / B. Supports broadcasting. Return 0\n * if denominator is 0.\n *\n * We also expose `tf.divStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 9, 16]);\n * const b = tf.tensor1d([1, 2, 3, 4]);\n * const c = tf.tensor1d([0, 0, 0, 0]);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * ```js\n * // Broadcast div a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(2);\n * const c = tf.scalar(0);\n *\n * a.divNoNan(b).print();  // or tf.divNoNan(a, b)\n * a.divNoNan(c).print();  // or tf.divNoNan(a, c)\n * ```\n *\n * @param a The first tensor as the numerator.\n * @param b The second tensor as the denominator. Must have the same dtype as\n * `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction divNoNan_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  // TODO: Make this into its own kernel.\n  let $a = convertToTensor(a, 'a', 'div');\n  let $b = convertToTensor(b, 'b', 'div');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const divResult = div($a, $b);\n  const zeros = zerosLike(divResult);\n  const bEqualsZero = $b.equal(zeros);\n  return where(bEqualsZero, zeros, divResult) as T;\n}\n\nexport const divNoNan = op({divNoNan_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tile, TileAttrs, TileInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {DataType, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Construct a tensor by repeating it the number of times given by reps.\n *\n * This operation creates a new tensor by replicating `input` `reps`\n * times. The output tensor's i'th dimension has `input.shape[i] *\n * reps[i]` elements, and the values of `input` are replicated\n * `reps[i]` times along the i'th dimension. For example, tiling\n * `[a, b, c, d]` by `[2]` produces `[a, b, c, d, a, b, c, d]`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n *\n * a.tile([2]).print();    // or a.tile([2])\n * ```\n *\n * ```js\n * const a = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.tile([1, 2]).print();  // or a.tile([1, 2])\n * ```\n * @param x The tensor to tile.\n * @param reps Determines the number of replications per dimension.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction tile_<T extends Tensor>(x: T|TensorLike, reps: number[]): T {\n  const parseAs: DataType = null;\n  const $x = convertToTensor(x, 'x', 'tile', parseAs);\n  util.assert(\n      $x.rank === reps.length,\n      () => `Error in transpose: rank of input ${$x.rank} ` +\n          `must match length of reps ${reps}.`);\n\n  const forward: ForwardFunc<T> = (backend, save) => {\n    const res = backend.tile($x, reps);\n    save([$x]);\n    return res;\n  };\n\n  const inputsToSave = [$x];\n  const inputs: TileInputs = {x: $x};\n  const attrs: TileAttrs = {reps};\n\n  return ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, Tile,\n      attrs as unknown as NamedAttrMap, inputsToSave);\n}\n\nexport const tile = op({tile_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor2D} from '../tensor';\nimport {DataType} from '../types';\n\nimport {buffer, expandDims} from './array_ops';\nimport {op} from './operation';\nimport {tile} from './tile';\n\n/**\n * Create an identity matrix.\n *\n * @param numRows Number of rows.\n * @param numColumns Number of columns. Defaults to `numRows`.\n * @param batchShape If provided, will add the batch shape to the beginning\n *   of the shape of the returned `tf.Tensor` by repeating the identity\n *   matrix.\n * @param dtype Data type.\n * @returns Identity matrix of the specified size and data type, possibly\n *   with batch repetition if `batchShape` is specified.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction eye_(\n    numRows: number, numColumns?: number,\n    batchShape?:\n        [\n          number\n        ]|[number,\n           number]|[number, number, number]|[number, number, number, number],\n    dtype: DataType = 'float32'): Tensor2D {\n  if (numColumns == null) {\n    numColumns = numRows;\n  }\n  const buff = buffer([numRows, numColumns], dtype);\n  const n = numRows <= numColumns ? numRows : numColumns;\n  for (let i = 0; i < n; ++i) {\n    buff.set(1, i, i);\n  }\n  const out = buff.toTensor().as2D(numRows, numColumns);\n  if (batchShape == null) {\n    return out;\n  } else {\n    if (batchShape.length === 1) {\n      return tile(expandDims(out, 0), [batchShape[0], 1, 1]);\n    } else if (batchShape.length === 2) {\n      return tile(\n          expandDims(expandDims(out, 0), 0),\n          [batchShape[0], batchShape[1], 1, 1]);\n    } else if (batchShape.length === 3) {\n      return tile(\n          expandDims(expandDims(expandDims(out, 0), 0), 0),\n          [batchShape[0], batchShape[1], batchShape[2], 1, 1]);\n    } else {\n      throw new Error(\n          `eye() currently supports only 1D and 2D ` +\n          // tslint:disable-next-line:no-any\n          `batchShapes, but received ${(batchShape as any).length}D.`);\n    }\n  }\n}\n\nexport const eye = op({eye_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with values drawn from a multinomial distribution.\n *\n * ```js\n * const probs = tf.tensor([.75, .25]);\n * tf.multinomial(probs, 3).print();\n * ```\n *\n * @param logits 1D array with unnormalized log-probabilities, or\n *     2D array of shape `[batchSize, numOutcomes]`. See the `normalized`\n *     parameter.\n * @param numSamples Number of samples to draw for each row slice.\n * @param seed The seed number.\n * @param normalized Whether the provided `logits` are normalized true\n *     probabilities (sum to 1). Defaults to false.\n * @return 1D array of shape `[numSamples]`, or 2D array of shape\n *     `[batchSize, numSamples]`, depending on the rank of the input.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction multinomial_(\n    logits: Tensor1D|Tensor2D|TensorLike, numSamples: number, seed?: number,\n    normalized = false): Tensor1D|Tensor2D {\n  const $logits = convertToTensor(logits, 'logits', 'multinomial');\n  const numOutcomes = $logits.size;\n  const origRank = $logits.rank;\n  if (numOutcomes < 2) {\n    throw new Error(\n        `Error in multinomial: you need at least 2 outcomes, but got ` +\n        `${numOutcomes}.`);\n  }\n  if (origRank > 2) {\n    throw new Error(`Rank of probabilities must be 1 or 2, but is ${origRank}`);\n  }\n  seed = seed || Math.random();\n  const logits2D = origRank === 1 ? $logits.as2D(1, -1) : $logits as Tensor2D;\n  const res = ENGINE.runKernelFunc(\n      backend => backend.multinomial(logits2D, normalized, numSamples, seed),\n      {logits2D});\n  return origRank === 1 ? res.as1D() : res;\n}\n\nexport const multinomial = op({multinomial_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {OneHot, OneHotAttrs, OneHotInputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Creates a one-hot `tf.Tensor`. The locations represented by `indices` take\n * value `onValue` (defaults to 1), while all other locations take value\n * `offValue` (defaults to 0). If `indices` is rank `R`, the output has rank\n * `R+1` with the last axis of size `depth`.\n *\n * ```js\n * tf.oneHot(tf.tensor1d([0, 1], 'int32'), 3).print();\n * ```\n *\n * @param indices `tf.Tensor` of indices with dtype `int32`.\n * @param depth The depth of the one hot dimension.\n * @param onValue A number used to fill in the output when the index matches\n * the location.\n * @param offValue A number used to fill in the output when the index does\n *     not match the location.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction oneHot_(\n    indices: Tensor|TensorLike, depth: number, onValue = 1,\n    offValue = 0): Tensor {\n  if (depth < 2) {\n    throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);\n  }\n  let $indices = convertToTensor(indices, 'indices', 'oneHot', 'int32');\n  const outShape = [...$indices.shape, depth];\n  $indices = $indices.flatten();\n\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    save([$indices]);\n    return backend.oneHot($indices as Tensor1D, depth, onValue, offValue);\n  };\n\n  const inputs: OneHotInputs = {indices: $indices};\n  const attrs: OneHotAttrs = {depth, onValue, offValue};\n\n  const result = ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, OneHot,\n      attrs as unknown as NamedAttrMap);\n  return result.reshape(outShape);\n}\n\nexport const oneHot = op({oneHot_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {PadV2, PadV2Attrs, PadV2Inputs} from '../kernel_names';\nimport {NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\n\n/**\n * Pads a `tf.Tensor` with a given value and paddings.\n *\n * This operation currently only implements the `CONSTANT` mode.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `paddings` is of given length.\n *   - `tf.pad1d`\n *   - `tf.pad2d`\n *   - `tf.pad3d`\n *   - `tf.pad4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * x.pad([[1, 2]]).print();\n * ```\n * @param x The tensor to pad.\n * @param paddings An array of length `R` (the rank of the tensor), where\n * each element is a length-2 tuple of ints `[padBefore, padAfter]`,\n * specifying how much to pad along each dimension of the tensor.\n * @param constantValue The pad value to use. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Transformations'} */\nfunction pad_<T extends Tensor>(\n    x: T|TensorLike, paddings: Array<[number, number]>, constantValue = 0): T {\n  const $x = convertToTensor(x, 'x', 'pad');\n  if ($x.rank === 0) {\n    throw new Error('pad(scalar) is not defined. Pass non-scalar to pad');\n  }\n  const forward: ForwardFunc<T> = (backend, save) => {\n    save([$x]);\n    return backend.pad($x, paddings, constantValue);\n  };\n\n  const attrs: PadV2Attrs = {paddings, constantValue};\n  const inputs: PadV2Inputs = {x: $x};\n  return ENGINE.runKernelFunc(\n      forward, inputs as unknown as NamedTensorMap, null /* grad */, PadV2,\n      attrs as unknown as NamedAttrMap);\n}\n\nexport const pad = op({pad_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor1D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor1D` with a given value and paddings. See `pad` for details.\n */\nfunction pad1d_(\n    x: Tensor1D|TensorLike, paddings: [number, number],\n    constantValue = 0): Tensor1D {\n  assert(\n      paddings.length === 2,\n      () => 'Invalid number of paddings. Must be length of 2.');\n  return pad(x, [paddings], constantValue);\n}\n\nexport const pad1d = op({pad1d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor2D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor2D` with a given value and paddings. See `pad` for details.\n */\nfunction pad2d_(\n    x: Tensor2D|TensorLike, paddings: [[number, number], [number, number]],\n    constantValue = 0): Tensor2D {\n  assert(\n      paddings.length === 2 && paddings[0].length === 2 &&\n          paddings[1].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad2d = op({pad2d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor3D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor3D` with a given value and paddings. See `pad` for details.\n */\nfunction pad3d_(\n    x: Tensor3D|TensorLike,\n    paddings: [[number, number], [number, number], [number, number]],\n    constantValue = 0): Tensor3D {\n  assert(\n      paddings.length === 3 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad3d = op({pad3d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor4D} from '../tensor';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {op} from './operation';\nimport {pad} from './pad';\n\n/**\n * Pads a `tf.Tensor4D` with a given value and paddings. See `pad` for details.\n */\nfunction pad4d_(\n    x: Tensor4D|TensorLike,\n    paddings:\n        [\n          [number, number], [number, number], [number, number], [number, number]\n        ],\n    constantValue = 0): Tensor4D {\n  assert(\n      paddings.length === 4 && paddings[0].length === 2 &&\n          paddings[1].length === 2 && paddings[2].length === 2 &&\n          paddings[3].length === 2,\n      () => 'Invalid number of paddings. Must be length of 2 each.');\n  return pad(x, paddings, constantValue);\n}\n\nexport const pad4d = op({pad4d_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {op} from './operation';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a random number generator\n * function defined by the user.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param randFunction A random number generator function which is called\n * for each element in the output tensor.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\nfunction rand_<R extends Rank>(\n    shape: ShapeMap[R], randFunction: () => number,\n    dtype?: DataType): Tensor<R> {\n  const size = sizeFromShape(shape);\n  let values = null;\n  if (dtype == null || dtype === 'float32') {\n    values = new Float32Array(size);\n  } else if (dtype === 'int32') {\n    values = new Int32Array(size);\n  } else if (dtype === 'bool') {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  for (let i = 0; i < size; i++) {\n    values[i] = randFunction();\n  }\n  return ENGINE.makeTensor(values, shape, dtype) as Tensor<R>;\n}\n\nexport const rand = op({rand_});\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from './engine';\nimport {inferShape} from './tensor_util_env';\nimport {RecursiveArray, TensorLike, TypedArray} from './types';\nimport {arraysEqual, flatten, isString, isTypedArray} from './util';\n\nconst TEST_EPSILON_FLOAT32 = 1e-3;\nexport const TEST_EPSILON_FLOAT16 = 1e-1;\n\nexport function expectArraysClose(\n    actual: TypedArray|number|RecursiveArray<number>,\n    expected: TypedArray|number|RecursiveArray<number>, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, epsilon));\n}\n\nexport function testEpsilon() {\n  return ENGINE.backend.floatPrecision() === 32 ? TEST_EPSILON_FLOAT32 :\n                                                  TEST_EPSILON_FLOAT16;\n}\n\nfunction expectArraysPredicate(\n    actual: TensorLike, expected: TensorLike,\n    predicate: (a: {}, b: {}) => boolean) {\n  let checkClassType = true;\n  if (isTypedArray(actual) || isTypedArray(expected)) {\n    checkClassType = false;\n  }\n  if (isTypedArray(actual) && isTypedArray(expected)) {\n    checkClassType = true;\n  }\n  if (checkClassType) {\n    const aType = actual.constructor.name;\n    const bType = expected.constructor.name;\n\n    if (aType !== bType) {\n      throw new Error(\n          `Arrays are of different type. Actual: ${aType}. ` +\n          `Expected: ${bType}`);\n    }\n  }\n\n  if (Array.isArray(actual) && Array.isArray(expected)) {\n    const actualShape = inferShape(actual);\n    const expectedShape = inferShape(expected);\n    if (!arraysEqual(actualShape, expectedShape)) {\n      throw new Error(\n          `Arrays have different shapes. ` +\n          `Actual: [${actualShape}]. Expected: [${expectedShape}]`);\n    }\n  }\n\n  const actualFlat =\n      isTypedArray(actual) ? actual : flatten(actual as RecursiveArray<number>);\n  const expectedFlat = isTypedArray(expected) ?\n      expected :\n      flatten(expected as RecursiveArray<number>);\n\n  if (actualFlat.length !== expectedFlat.length) {\n    throw new Error(\n        `Arrays have different lengths actual: ${actualFlat.length} vs ` +\n        `expected: ${expectedFlat.length}.\\n` +\n        `Actual:   ${actualFlat}.\\n` +\n        `Expected: ${expectedFlat}.`);\n  }\n  for (let i = 0; i < expectedFlat.length; ++i) {\n    const a = actualFlat[i];\n    const e = expectedFlat[i];\n\n    if (!predicate(a, e)) {\n      throw new Error(\n          `Arrays differ: actual[${i}] = ${a}, expected[${i}] = ${e}.\\n` +\n          `Actual:   ${actualFlat}.\\n` +\n          `Expected: ${expectedFlat}.`);\n    }\n  }\n}\n\nexport interface DoneFn {\n  (): void;\n  fail: (message?: Error|string) => void;\n}\n\nexport function expectPromiseToFail(fn: () => Promise<{}>, done: DoneFn): void {\n  fn().then(() => done.fail(), () => done());\n}\n\nexport function expectArraysEqual(actual: TensorLike, expected: TensorLike) {\n  const exp = typeof expected === 'string' || typeof expected === 'number' ||\n          typeof expected === 'boolean' ?\n      [expected] as number[] :\n      expected as number[];\n  if (isString(actual) || isString((actual as string[])[0]) ||\n      isString(expected) || isString((expected as string[])[0])) {\n    // tslint:disable-next-line: triple-equals\n    return expectArraysPredicate(actual, exp, (a, b) => a == b);\n  }\n  return expectArraysPredicate(\n      actual, expected, (a, b) => areClose(a as number, b as number, 0));\n}\n\nexport function expectNumbersClose(a: number, e: number, epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  if (!areClose(a, e, epsilon)) {\n    throw new Error(`Numbers differ: actual === ${a}, expected === ${e}`);\n  }\n}\n\nfunction areClose(a: number, e: number, epsilon: number): boolean {\n  if (!isFinite(a) && !isFinite(e)) {\n    return true;\n  }\n  if (isNaN(a) || isNaN(e) || Math.abs(a - e) > epsilon) {\n    return false;\n  }\n  return true;\n}\n\nexport function expectValuesInRange(\n    actual: TypedArray|number[], low: number, high: number) {\n  for (let i = 0; i < actual.length; i++) {\n    if (actual[i] < low || actual[i] > high) {\n      throw new Error(\n          `Value out of range:${actual[i]} low: ${low}, high: ${high}`);\n    }\n  }\n}\n\nexport function expectArrayBuffersEqual(\n    actual: ArrayBuffer, expected: ArrayBuffer) {\n  // Safari & Jasmine don't like comparing ArrayBuffers directly. Wrapping in\n  // a Float32Array solves this issue.\n  expect(new Float32Array(actual)).toEqual(new Float32Array(expected));\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {expectNumbersClose, testEpsilon} from '../test_util';\nimport {TypedArray} from '../types';\n\nexport interface RandomBase {\n  nextValue(): number;\n}\n\nexport interface RandomGamma {\n  nextValue(): number;\n}\n\nexport interface RandNormalDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\nexport interface RandGammaDataTypes {\n  float32: Float32Array;\n  int32: Int32Array;\n}\n\n// https://en.wikipedia.org/wiki/Marsaglia_polar_method\nexport class MPRandGauss implements RandomBase {\n  private mean: number;\n  private stdDev: number;\n  private nextVal: number;\n  private dtype?: keyof RandNormalDataTypes;\n  private truncated?: boolean;\n  private upper?: number;\n  private lower?: number;\n  private random: seedrandom.prng;\n\n  constructor(\n      mean: number, stdDeviation: number, dtype?: keyof RandNormalDataTypes,\n      truncated?: boolean, seed?: number) {\n    this.mean = mean;\n    this.stdDev = stdDeviation;\n    this.dtype = dtype;\n    this.nextVal = NaN;\n    this.truncated = truncated;\n    if (this.truncated) {\n      this.upper = this.mean + this.stdDev * 2;\n      this.lower = this.mean - this.stdDev * 2;\n    }\n    const seedValue = seed ? seed : Math.random();\n    this.random = seedrandom.alea(seedValue.toString());\n  }\n\n  /** Returns next sample from a Gaussian distribution. */\n  public nextValue(): number {\n    if (!isNaN(this.nextVal)) {\n      const value = this.nextVal;\n      this.nextVal = NaN;\n      return value;\n    }\n\n    let resultX: number, resultY: number;\n    let isValid = false;\n    while (!isValid) {\n      let v1: number, v2: number, s: number;\n      do {\n        v1 = 2 * this.random() - 1;\n        v2 = 2 * this.random() - 1;\n        s = v1 * v1 + v2 * v2;\n      } while (s >= 1 || s === 0);\n\n      const mul = Math.sqrt(-2.0 * Math.log(s) / s);\n      resultX = this.mean + this.stdDev * v1 * mul;\n      resultY = this.mean + this.stdDev * v2 * mul;\n\n      if (!this.truncated || this.isValidTruncated(resultX)) {\n        isValid = true;\n      }\n    }\n\n    if (!this.truncated || this.isValidTruncated(resultY)) {\n      this.nextVal = this.convertValue(resultY);\n    }\n    return this.convertValue(resultX);\n  }\n\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype == null || this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  /** Returns true if less than 2-standard-deviations from the mean. */\n  private isValidTruncated(value: number): boolean {\n    return value <= this.upper && value >= this.lower;\n  }\n}\n\n// Marsaglia, George, and Wai Wan Tsang. 2000. \"A Simple Method for Generating\n// Gamma Variables.\"\nexport class RandGamma implements RandomGamma {\n  private alpha: number;\n  private beta: number;\n  private d: number;\n  private c: number;\n  private dtype?: keyof RandGammaDataTypes;\n  private randu: seedrandom.prng;\n  private randn: MPRandGauss;\n\n  constructor(\n      alpha: number, beta: number, dtype: keyof RandGammaDataTypes,\n      seed?: number) {\n    this.alpha = alpha;\n    this.beta = 1 / beta;  // convert rate to scale parameter\n    this.dtype = dtype;\n\n    const seedValue = seed ? seed : Math.random();\n    this.randu = seedrandom.alea(seedValue.toString());\n    this.randn = new MPRandGauss(0, 1, dtype, false, this.randu());\n\n    if (alpha < 1) {\n      this.d = alpha + (2 / 3);\n    } else {\n      this.d = alpha - (1 / 3);\n    }\n    this.c = 1 / Math.sqrt(9 * this.d);\n  }\n\n  /** Returns next sample from a gamma distribution. */\n  public nextValue(): number {\n    let x2: number, v0: number, v1: number, x: number, u: number, v: number;\n    while (true) {\n      do {\n        x = this.randn.nextValue();\n        v = 1 + (this.c * x);\n      } while (v <= 0);\n      v *= v * v;\n      x2 = x * x;\n      v0 = 1 - (0.331 * x2 * x2);\n      v1 = (0.5 * x2) + (this.d * (1 - v + Math.log(v)));\n      u = this.randu();\n      if (u < v0 || Math.log(u) < v1) {\n        break;\n      }\n    }\n    v = (1 / this.beta) * this.d * v;\n    if (this.alpha < 1) {\n      v *= Math.pow(this.randu(), 1 / this.alpha);\n    }\n    return this.convertValue(v);\n  }\n  /** Handles proper rounding for non-floating-point numbers. */\n  private convertValue(value: number): number {\n    if (this.dtype === 'float32') {\n      return value;\n    }\n    return Math.round(value);\n  }\n}\n\nexport class UniformRandom implements RandomBase {\n  private min: number;\n  private range: number;\n  private random: seedrandom.prng;\n  private dtype?: keyof RandNormalDataTypes;\n\n  constructor(\n      min = 0, max = 1, dtype?: keyof RandNormalDataTypes,\n      seed?: string|number) {\n    this.min = min;\n    this.range = max - min;\n    this.dtype = dtype;\n    if (seed == null) {\n      seed = Math.random();\n    }\n    if (typeof seed === 'number') {\n      seed = seed.toString();\n    }\n\n    if (!this.canReturnFloat() && this.range <= 1) {\n      throw new Error(\n          `The difference between ${min} - ${max} <= 1 and dtype is not float`);\n    }\n    this.random = seedrandom.alea(seed);\n  }\n\n  /** Handles proper rounding for non floating point numbers. */\n  private canReturnFloat = () =>\n      (this.dtype == null || this.dtype === 'float32');\n\n  private convertValue(value: number): number {\n    if (this.canReturnFloat()) {\n      return value;\n    }\n    return Math.round(value);\n  }\n\n  nextValue() {\n    return this.convertValue(this.min + this.range * this.random());\n  }\n}\n\nexport function jarqueBeraNormalityTest(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Jarque%E2%80%93Bera_test\n  const n = values.length;\n  const s = skewness(values);\n  const k = kurtosis(values);\n  const jb = n / 6 * (Math.pow(s, 2) + 0.25 * Math.pow(k - 3, 2));\n  // JB test requires 2-degress of freedom from Chi-Square @ 0.95:\n  // http://www.itl.nist.gov/div898/handbook/eda/section3/eda3674.htm\n  const CHI_SQUARE_2DEG = 5.991;\n  if (jb > CHI_SQUARE_2DEG) {\n    throw new Error(`Invalid p-value for JB: ${jb}`);\n  }\n}\n\nexport function expectArrayInMeanStdRange(\n    actual: TypedArray|number[], expectedMean: number, expectedStdDev: number,\n    epsilon?: number) {\n  if (epsilon == null) {\n    epsilon = testEpsilon();\n  }\n  const actualMean = mean(actual);\n  expectNumbersClose(actualMean, expectedMean, epsilon);\n  expectNumbersClose(\n      standardDeviation(actual, actualMean), expectedStdDev, epsilon);\n}\n\nfunction mean(values: TypedArray|number[]) {\n  let sum = 0;\n  for (let i = 0; i < values.length; i++) {\n    sum += values[i];\n  }\n  return sum / values.length;\n}\n\nfunction standardDeviation(values: TypedArray|number[], mean: number) {\n  let squareDiffSum = 0;\n  for (let i = 0; i < values.length; i++) {\n    const diff = values[i] - mean;\n    squareDiffSum += diff * diff;\n  }\n  return Math.sqrt(squareDiffSum / values.length);\n}\n\nfunction kurtosis(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Kurtosis\n  const valuesMean = mean(values);\n  const n = values.length;\n  let sum2 = 0;\n  let sum4 = 0;\n  for (let i = 0; i < n; i++) {\n    const v = values[i] - valuesMean;\n    sum2 += Math.pow(v, 2);\n    sum4 += Math.pow(v, 4);\n  }\n  return (1 / n) * sum4 / Math.pow((1 / n) * sum2, 2);\n}\n\nfunction skewness(values: TypedArray|number[]) {\n  // https://en.wikipedia.org/wiki/Skewness\n  const valuesMean = mean(values);\n  const n = values.length;\n  let sum2 = 0;\n  let sum3 = 0;\n  for (let i = 0; i < n; i++) {\n    const v = values[i] - valuesMean;\n    sum2 += Math.pow(v, 2);\n    sum3 += Math.pow(v, 3);\n  }\n  return (1 / n) * sum3 / Math.pow((1 / (n - 1)) * sum2, 3 / 2);\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {RandGamma} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a gamma distribution.\n *\n * ```js\n * tf.randomGamma([2, 2], 1).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param alpha The shape parameter of the gamma distribution.\n * @param beta The inverse scale parameter of the gamma distribution. Defaults\n *     to 1.\n * @param dtype The data type of the output. Defaults to float32.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomGamma_<R extends Rank>(\n    shape: ShapeMap[R], alpha: number, beta = 1,\n    dtype: 'float32'|'int32' = 'float32', seed?: number): Tensor<R> {\n  if (beta == null) {\n    beta = 1;\n  }\n  if (dtype == null) {\n    dtype = 'float32';\n  }\n  if (dtype !== 'float32' && dtype !== 'int32') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const rgamma = new RandGamma(alpha, beta, dtype, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = rgamma.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomGamma = op({randomGamma_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {MPRandGauss} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a normal distribution.\n *\n * ```js\n * tf.randomNormal([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type ${dtype}`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, false /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomNormal = op({randomNormal_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {UniformRandom} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a uniform distribution.\n *\n * The generated values follow a uniform distribution in the range [minval,\n * maxval). The lower bound minval is included in the range, while the upper\n * bound maxval is excluded.\n *\n * ```js\n * tf.randomUniform([2, 2]).print();\n * ```\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param minval The lower bound on the range of random values to generate.\n *   Defaults to 0.\n * @param maxval The upper bound on the range of random values to generate.\n *   Defaults to 1.\n * @param dtype The data type of the output tensor. Defaults to 'float32'.\n */\n/** @doc {heading: 'Tensors', subheading: 'Random'} */\nfunction randomUniform_<R extends Rank>(\n    shape: ShapeMap[R], minval = 0, maxval = 1, dtype: DataType = 'float32',\n    seed?: number|string): Tensor<R> {\n  const res = buffer(shape, dtype);\n  const random = new UniformRandom(minval, maxval, null, seed);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = random.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const randomUniform = op({randomUniform_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Computes square of `x` element-wise: `x ^ 2`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, Math.sqrt(2), -1]);\n *\n * x.square().print();  // or tf.square(x)\n * ```\n * @param x The input Tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction square_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'square');\n  const attrs = {};\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [];\n  return ENGINE.runKernelFunc((backend, save) => {\n    save([$x]);\n    return backend.square($x);\n  }, {x: $x}, null /* grad */, 'Square', attrs, inputsToSave, outputsToSave);\n}\n\nexport const square = op({square_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {SquaredDifference, SquaredDifferenceInputs} from '../kernel_names';\nimport {Tensor} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Returns (a - b) * (a - b) element-wise.\n * Supports broadcasting.\n *\n * We also expose `tf.squaredDifferenceStrict` which has the same signature as\n * this op and asserts that `a` and `b` are the same shape (does not\n * broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 4, 3, 16]);\n * const b = tf.tensor1d([1, 2, 9, 4]);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * ```js\n * // Broadcast squared difference  a with b.\n * const a = tf.tensor1d([2, 4, 6, 8]);\n * const b = tf.scalar(5);\n *\n * a.squaredDifference(b).print();  // or tf.squaredDifference(a, b)\n * ```\n *\n * @param a The first tensor.\n * @param b The second tensor. Must have the same type as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Arithmetic'} */\nfunction squaredDifference_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'squaredDifference');\n  let $b = convertToTensor(b, 'b', 'squaredDifference');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  const der = (dy: Tensor, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    const two = scalar(2);\n    const derA = () => dy.mul($a.sub($b).mul(two));\n    const derB = () => dy.mul($b.sub($a).mul(two));\n    return {a: derA, b: derB};\n  };\n  const forward: ForwardFunc<Tensor> = (backend, save) => {\n    const res = backend.squaredDifference($a, $b);\n    save([$a, $b]);\n    return res;\n  };\n\n  const inputs: SquaredDifferenceInputs = {a: $a, b: $b};\n  const attrs = {};\n\n  const inputsToSave = [$a, $b];\n  const outputToSave: boolean[] = [];\n  return ENGINE.runKernelFunc(\n             forward, inputs as unknown as NamedTensorMap, der,\n             SquaredDifference, attrs, inputsToSave, outputToSave) as T;\n}\n\nexport const squaredDifference = op({squaredDifference_});\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {DataType, Rank, ShapeMap} from '../types';\n\nimport {buffer} from './array_ops';\nimport {op} from './operation';\nimport {MPRandGauss} from './rand_util';\n\n/**\n * Creates a `tf.Tensor` with values sampled from a truncated normal\n * distribution.\n *\n * ```js\n * tf.truncatedNormal([2, 2]).print();\n * ```\n *\n * The generated values follow a normal distribution with specified mean and\n * standard deviation, except that values whose magnitude is more than 2\n * standard deviations from the mean are dropped and re-picked.\n *\n * @param shape An array of integers defining the output tensor shape.\n * @param mean The mean of the normal distribution.\n * @param stdDev The standard deviation of the normal distribution.\n * @param dtype The data type of the output tensor.\n * @param seed The seed for the random number generator.\n */\n/** @doc {heading: 'Tensors', subheading: 'Creation'} */\nfunction truncatedNormal_<R extends Rank>(\n    shape: ShapeMap[R], mean = 0, stdDev = 1, dtype?: 'float32'|'int32',\n    seed?: number): Tensor<R> {\n  if (dtype != null && (dtype as DataType) === 'bool') {\n    throw new Error(`Unsupported data type $ { dtype }`);\n  }\n  const randGauss =\n      new MPRandGauss(mean, stdDev, dtype, true /* truncated */, seed);\n  const res = buffer(shape, dtype);\n  for (let i = 0; i < res.values.length; i++) {\n    res.values[i] = randGauss.nextValue();\n  }\n  return res.toTensor();\n}\n\nexport const truncatedNormal = op({truncatedNormal_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {assertAndGetBroadcastShape} from './broadcast_util';\nimport {op} from './operation';\nimport {zerosLike} from './tensor_ops';\n\n/**\n * Returns the truth value of (a != b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.notEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([0, 2, 3]);\n *\n * a.notEqual(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction notEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'notEqual');\n  let $b = convertToTensor(b, 'b', 'notEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n  return ENGINE.runKernelFunc(\n             backend => backend.notEqual($a, $b), {a: $a, b: $b},\n             null /* grad */, 'NotEqual') as T;\n}\n\n/**\n * Strict version of `tf.notEqual` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction notEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'notEqualStrict');\n  const $b = convertToTensor(b, 'b', 'notEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in notEqualStrict: ');\n  return $a.notEqual($b);\n}\n\n/**\n * Returns the truth value of (a < b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessStrict` which has the same signature as this op and\n * asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.less(b).print();\n * ```\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction less_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'less');\n  let $b = convertToTensor(b, 'b', 'less');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.less($a, $b), {a: $a, b: $b}, null /* grad */,\n             'Less') as T;\n}\n\n/**\n * Strict version of `tf.less` that forces `a` and `b` to be of the same\n * shape.\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same shape and dtype as\n *     `a`.\n */\nfunction lessStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessStrict');\n  const $b = convertToTensor(b, 'b', 'lessStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessStrict: ');\n  return $a.less($b);\n}\n\n/**\n * Returns the truth value of (a == b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.equalStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.equal(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction equal_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'equal');\n  let $b = convertToTensor(b, 'b', 'equal');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(backend => backend.equal($a, $b), {$a, $b}) as T;\n}\n\nfunction equalStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'equalStrict');\n  const $b = convertToTensor(b, 'b', 'equalStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in equalStrict: ');\n  return $a.equal($b);\n}\n\n/**\n * Returns the truth value of (a <= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.lessEqualStrict` which has the same signature as this op\n * and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.lessEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction lessEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'lessEqual');\n  let $b = convertToTensor(b, 'b', 'lessEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.lessEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, null /* grad */, 'LessEqual') as T;\n}\n\nfunction lessEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'lessEqualStrict');\n  const $b = convertToTensor(b, 'b', 'lessEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in lessEqualStrict: ');\n  return $a.lessEqual($b);\n}\n\n/**\n * Returns the truth value of (a > b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greater(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greater_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greater');\n  let $b = convertToTensor(b, 'b', 'greater');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  return ENGINE.runKernelFunc(\n             backend => backend.greater($a, $b), {a: $a, b: $b},\n             null /* grad */, 'Greater') as T;\n}\n\nfunction greaterStrict_<T extends Tensor>(a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterStrict');\n  const $b = convertToTensor(b, 'b', 'greaterStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterStrict: ');\n  return $a.greater($b);\n}\n\n/**\n * Returns the truth value of (a >= b) element-wise. Supports broadcasting.\n *\n * We also expose `tf.greaterEqualStrict` which has the same signature as this\n * op and asserts that `a` and `b` are the same shape (does not broadcast).\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([2, 2, 2]);\n *\n * a.greaterEqual(b).print();\n * ```\n *\n * @param a The first input tensor.\n * @param b The second input tensor. Must have the same dtype as `a`.\n */\n/** @doc {heading: 'Operations', subheading: 'Logical'} */\nfunction greaterEqual_<T extends Tensor>(\n    a: Tensor|TensorLike, b: Tensor|TensorLike): T {\n  let $a = convertToTensor(a, 'a', 'greaterEqual');\n  let $b = convertToTensor(b, 'b', 'greaterEqual');\n  [$a, $b] = makeTypesMatch($a, $b);\n  assertAndGetBroadcastShape($a.shape, $b.shape);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$a, $b] = saved;\n    return {a: () => zerosLike($a), b: () => zerosLike($b)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.greaterEqual($a, $b);\n    save([$a, $b]);\n    return res;\n  }, {a: $a, b: $b}, grad, 'GreaterEqual') as T;\n}\n\nfunction greaterEqualStrict_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike): T {\n  const $a = convertToTensor(a, 'a', 'greaterEqualStrict');\n  const $b = convertToTensor(b, 'b', 'greaterEqualStrict');\n  assertShapesMatch($a.shape, $b.shape, 'Error in greaterEqualStrict: ');\n  return $a.greaterEqual($b);\n}\n\nexport const equal = op({equal_});\nexport const equalStrict = op({equalStrict_});\nexport const greater = op({greater_});\nexport const greaterEqual = op({greaterEqual_});\nexport const greaterEqualStrict = op({greaterEqualStrict_});\nexport const greaterStrict = op({greaterStrict_});\nexport const less = op({less_});\nexport const lessEqual = op({lessEqual_});\nexport const lessEqualStrict = op({lessEqualStrict_});\nexport const lessStrict = op({lessStrict_});\nexport const notEqual = op({notEqual_});\nexport const notEqualStrict = op({notEqualStrict_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, isInt, parseAxisParam} from '../util';\nimport {expandDims} from './array_ops';\nimport {getUndoAxesPermutation} from './axis_util';\nimport {maximum} from './binary_ops';\nimport {greaterEqual} from './compare';\nimport {logicalAnd, where} from './logical_ops';\nimport {op} from './operation';\nimport {collectGatherOpShapeInfo} from './segment_util';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the sum along segments of a `tf.Tensor`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const segmentIds = tf.tensor1d([1, 2, 0, 1], 'int32');\n * const numSegments = 3;\n *\n * x.unsortedSegmentSum(segmentIds, numSegments).print()\n * //or tf.unsortedSegmentSum(x, segmentIds, numSegments)\n * ```\n * @param x The `tf.Tensor` that will be summed along its segments.\n * @param segmentIds A `tf.Tensor1D` whose rank is equal to the rank of `x`'s\n * dimension along the `axis`.  Maps each element of `x` to a segment.\n * @param numSegments The number of distinct `segmentIds`.\n */\n/** @doc {heading: 'Operations', subheading: 'Segment'} */\nfunction unsortedSegmentSum_<T extends Tensor>(\n    x: T|TensorLike, segmentIds: Tensor1D|TensorLike, numSegments: number): T {\n  const $x = convertToTensor(x, 'x', 'unsortedSegmentSum');\n  const $segmentIds =\n      convertToTensor(segmentIds, 'segmentIds', 'unsortedSegmentSum', 'int32');\n  assert(isInt(numSegments), () => 'numSegments must be of dtype int');\n\n  const gradFunc = (dy: T, saved: Tensor[]) => {\n    const [$segmentIds] = saved;\n    const derX = () => {\n      return gatherDropNegatives(dy, $segmentIds as Tensor1D);\n    };\n    return {$x: derX};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.unsortedSegmentSum($x, $segmentIds, numSegments);\n    save([$segmentIds]);\n    return res;\n  }, {$x}, gradFunc) as T;\n}\n\n/**\n * Gather slices from tensor `x`'s axis `axis` according to `indices`.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n * const indices = tf.tensor1d([1, 3, 3], 'int32');\n *\n * x.gather(indices).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const indices = tf.tensor1d([1, 1, 0], 'int32');\n *\n * x.gather(indices).print();\n * ```\n * @param x The input tensor whose slices to be gathered.\n * @param indices The indices of the values to extract.\n * @param axis The axis over which to select values. Defaults to 0.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction gather_<T extends Tensor>(\n    x: T|TensorLike, indices: Tensor|TensorLike, axis = 0): T {\n  const $x = convertToTensor(x, 'x', 'gather');\n  const $indices = convertToTensor(indices, 'indices', 'gather', 'int32');\n  axis = parseAxisParam(axis, $x.shape)[0];\n  const shapeInfo = collectGatherOpShapeInfo($x, $indices, axis);\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$indices] = saved;\n    const derX = () => {\n      const paramsShape = $x.shape;\n      const indicesSize = $indices.size;\n\n      const outerShape = paramsShape.slice(0, axis);\n      const outerDims = outerShape.length;\n      const innerShape = paramsShape.slice(axis, paramsShape.length).slice(1);\n      const innerDims = innerShape.length;\n\n      const outerAxesIndices = arrayRange(0, outerDims);\n      const innerAxesIndices =\n          arrayRange(outerDims + 1, outerDims + 1 + innerDims);\n\n      const valuesShape = arrayConcat([outerShape, [indicesSize], innerShape]);\n\n      const values = dy.reshape(valuesShape);\n      const reshapedIndices = $indices.reshape([indicesSize]);\n\n      const transposeDims =\n          arrayConcat([[outerDims], outerAxesIndices, innerAxesIndices]);\n      const valuesTranspose = values.transpose(transposeDims);\n      let paramsGrad = unsortedSegmentSum(\n          valuesTranspose, reshapedIndices as Tensor1D, $x.shape[axis]);\n\n      const invertTransposeDims = getUndoAxesPermutation(transposeDims);\n      paramsGrad = paramsGrad.transpose(invertTransposeDims);\n\n      return paramsGrad as T;\n    };\n    return {x: derX, indices: () => $indices};\n  };\n  return (ENGINE.runKernelFunc(\n              (backend, save) => {\n                const res = backend.gather($x, $indices.flatten(), axis);\n                save([$indices]);\n                return res;\n              },\n              {x: $x, indices: $indices}, grad, 'Gather', {axis}))\n             .reshape(shapeInfo.outputShape) as T;\n}\n\nfunction arrayRange(start: number, stop: number): number[] {\n  const result = [];\n  for (let i = start; i < stop; ++i) {\n    result.push(i);\n  }\n  return result;\n}\n\nfunction arrayConcat(arrays: number[][]): number[] {\n  const result = [];\n  for (let i = 0; i < arrays.length; ++i) {\n    for (let j = 0; j < arrays[i].length; ++j) {\n      result.push(arrays[i][j]);\n    }\n  }\n  return result;\n}\n\nfunction gatherDropNegatives<T extends Tensor>(x: T, indices: Tensor1D) {\n  // Helper function for unsorted segment ops. Gathers params for\n  // positive segment ids and gathers 0 for inputs with negative segment id.\n  // Mirrors _GatherDropNegatives from tensorflow/python/ops/math_grad.py\n  const zeroClippedIndices = maximum(indices, zerosLike(indices));\n  const gathered = gather(x, zeroClippedIndices as Tensor1D);\n  let isPositive = greaterEqual(indices, scalar(0, 'int32'));\n  const numIters = gathered.rank - isPositive.rank;\n  for (let i = 0; i < numIters; ++i) {\n    isPositive = expandDims(isPositive, i + 1);\n  }\n  isPositive = logicalAnd(isPositive, ones(gathered.shape, 'bool'));\n  const zeroSlice = zerosLike(gathered);\n  return where(isPositive, gathered, zeroSlice);\n}\n\nexport const gather = op({gather_});\nexport const unsortedSegmentSum = op({unsortedSegmentSum_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {whereAsync} from './logical_ops';\nimport {gather} from './segment_ops';\n\n/**\n * Apply boolean mask to tensor.\n *\n * ```js\n * const tensor = tf.tensor2d([1, 2, 3, 4, 5, 6], [3, 2]);\n * const mask = tf.tensor1d([1, 0, 1], 'bool');\n * const result = await tf.booleanMaskAsync(tensor, mask);\n * result.print();\n * ```\n *\n * @param tensor N-D tensor.\n * @param mask K-D boolean tensor, K <= N and K must be known statically.\n * @param axis A 0-D int Tensor representing the axis in tensor to mask from.\n *     By default, axis is 0 which will mask from the first dimension.\n *     Otherwise K + axis <= N.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nasync function booleanMaskAsync_(\n    tensor: Tensor|TensorLike, mask: Tensor|TensorLike,\n    axis?: number): Promise<Tensor> {\n  const $tensor = convertToTensor(tensor, 'tensor', 'boolMask');\n  const $mask = convertToTensor(mask, 'mask', 'boolMask', 'bool');\n\n  const axisFrom = axis == null ? 0 : axis;\n  const maskDim = $mask.rank;\n  const tensorShape = $tensor.shape;\n\n  util.assert(maskDim > 0, () => 'mask cannot be scalar');\n  util.assertShapesMatch(\n      tensorShape.slice(axisFrom, axisFrom + maskDim), $mask.shape,\n      `mask's shape must match the first K dimensions of tensor's shape,`);\n\n  let leadingSize = 1;\n  for (let i = axisFrom; i < axisFrom + maskDim; i++) {\n    leadingSize *= tensorShape[i];\n  }\n  const targetTensorShape =\n      tensorShape.slice(0, axisFrom)\n          .concat([leadingSize], tensorShape.slice(axisFrom + maskDim));\n  const reshapedTensor = $tensor.reshape(targetTensorShape);\n  const reshapedMask = $mask.reshape([-1]);\n  const positivePositions = await whereAsync(reshapedMask);\n  const indices = positivePositions.squeeze([1]);\n\n  const res = gather(reshapedTensor, indices, axisFrom);\n\n  // Ensure no memory leak.\n  if (tensor !== $tensor) {\n    $tensor.dispose();\n  }\n  if (mask !== $mask) {\n    $mask.dispose();\n  }\n  indices.dispose();\n  reshapedTensor.dispose();\n  reshapedMask.dispose();\n  positivePositions.dispose();\n\n  return res;\n}\n\nexport const booleanMaskAsync = booleanMaskAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor2D, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes a 1D convolution over the input x.\n *\n * @param x The input tensor, of rank 3 or rank 2, of shape\n *     `[batch, width, inChannels]`. If rank 2, batch of 1 is assumed.\n * @param filter The filter, rank 3, of shape\n *     `[filterWidth, inDepth, outDepth]`.\n * @param stride The number of entries by which the filter is moved right at\n *     each step.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from \"NWC\", \"NCW\". Defaults to \"NWC\",\n *     the data is stored in the order of [batch, in_width, in_channels]. Only\n *     \"NWC\" is currently supported.\n * @param dilation The dilation rate in which we sample input values in\n *     atrous convolution. Defaults to `1`. If it is greater than 1, then\n *     stride must be `1`.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv1d_<T extends Tensor2D|Tensor3D>(\n    x: T|TensorLike, filter: Tensor3D|TensorLike, stride: number,\n    pad: 'valid'|'same'|number, dataFormat: 'NWC'|'NCW' = 'NWC', dilation = 1,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv1d');\n  const $filter = convertToTensor(filter, 'filter', 'conv1d');\n\n  let x3D = $x as Tensor3D;\n  let reshapedTo3D = false;\n  if ($x.rank === 2) {\n    reshapedTo3D = true;\n    x3D = $x.as3D(1, $x.shape[0], $x.shape[1]);\n  }\n\n  util.assert(\n      x3D.rank === 3,\n      () => `Error in conv1d: input must be rank 3, but got rank ${x3D.rank}.`);\n  util.assert(\n      $filter.rank === 3,\n      () => `Error in conv1d: filter must be rank 3, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv1d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x3D.shape[2] === $filter.shape[1],\n      () => `Error in conv1d: depth of input (${x3D.shape[2]}) must match ` +\n          `input depth for filter ${$filter.shape[1]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(stride, dilation),\n      () => 'Error in conv1D: Either stride or dilation must be 1. ' +\n          `Got stride ${stride} and dilation '${dilation}'`);\n  util.assert(\n      dataFormat === 'NWC',\n      () => `Error in conv1d: got dataFormat of ${\n          dataFormat} but only NWC is currently supported.`);\n\n  const filter4D =\n      $filter.as4D(1, $filter.shape[0], $filter.shape[1], $filter.shape[2]);\n  const input4D = x3D.as4D(x3D.shape[0], 1, x3D.shape[1], x3D.shape[2]);\n  const strides: [number, number] = [1, stride];\n  const dilations: [number, number] = [1, dilation];\n\n  const conv2dDataFormat = 'NHWC';\n\n  const res = conv2d(\n      input4D, filter4D, strides, pad, conv2dDataFormat, dilations,\n      dimRoundingMode);\n\n  if (reshapedTo3D) {\n    return res.as2D(res.shape[2], res.shape[3]) as T;\n  }\n  return res.as3D(res.shape[0], res.shape[2], res.shape[3]) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2d: input must be rank 4, but got rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  util.assert(\n      inDepth === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${inDepth}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D] = saved as [Tensor4D, Tensor4D];\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of conv2D: dilation rates greater than 1 ' +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    return {\n      x: () => conv2dDerInput(x4D.shape, dy, $filter, strides, pad, dataFormat),\n      filter: () =>\n          conv2dDerFilter(x4D, dy, $filter.shape, strides, pad, dataFormat)\n    };\n  };\n\n  const inputsToSave = [$filter, x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2d(x4D, $filter, convInfo);\n    save([$filter, x4D]);\n\n    return res;\n  }, {x: x4D, filter: $filter}, grad, 'Conv2D', convInfo, inputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 2D convolution.\n *\n * @param xShape The shape of the input: [batch, height, width, inDepth].\n * If length of 3, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 4 or rank 3 of shape\n *   `[batch, outHeight, outWidth, outDepth]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction conv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, strides: [number, number]|number,\n    pad: 'valid'|'same'|number, dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape4D = xShape as [number, number, number, number];\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n    xShape4D = [1, xShape[0], xShape[1], xShape[2]];\n  }\n\n  util.assert(\n      xShape4D.length === 4,\n      () =>\n          `Error in conv2dDerInput: inShape must be length 4, but got length ` +\n          `${xShape4D.length}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerInput: dy must be rank 4, but got ` +\n          `rank ${dy4D.rank}`);\n  util.assert(\n      filter.rank === 4,\n      () => `Error in conv2dDerInput: filter must be rank 4, but got ` +\n          `rank ${filter.rank}`);\n  const inDepth = dataFormat === 'NHWC' ? xShape4D[3] : xShape4D[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filter.shape[2],\n      () => `Error in conv2dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[2]}.`);\n  util.assert(\n      outDepth === filter.shape[3],\n      () => `Error in conv2dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[3]}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerInput: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n\n  const grad = (ddx: Tensor4D, saved: Tensor[]) => {\n    const [filter, dy4D] = saved;\n    return {\n      dy4D: () => conv2d(\n          ddx, filter as Tensor4D, strides, pad, dataFormat, dilations,\n          dimRoundingMode),\n      filter: () => conv2dDerFilter(\n          ddx, dy4D as Tensor4D, (filter as Tensor4D).shape, strides, pad,\n          dataFormat, dimRoundingMode)\n    };\n  };\n\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      xShape4D, filter.shape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv2dDerInput(dy4D, filter, convInfo);\n    save([filter, dy4D]);\n    return res;\n  }, {dy4D, filter}, grad);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 2D convolution.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     [batch, height, width, inChannels]. If rank 3, batch of 1 is assumed.\n * @param dy The dy image, of rank 4 or rank 3, of shape\n *     [batch, height, width, outDepth]. If rank 3, batch of 1 is assumed.\n * @param filterShape The shape of the filter, length 4,\n *     [filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels].\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction conv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in conv2dDerFilter: input must be rank 4, but got shape ` +\n          `${x4D.shape}.`);\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in conv2dDerFilter: dy must be rank 4, but got shape ` +\n          `${dy4D.shape}.`);\n  util.assert(\n      filterShape.length === 4,\n      () => `Error in conv2dDerFilter: filterShape must be length 4, but got ` +\n          `${filterShape}.`);\n  const inDepth = dataFormat === 'NHWC' ? x4D.shape[3] : x4D.shape[1];\n  const outDepth = dataFormat === 'NHWC' ? dy4D.shape[3] : dy4D.shape[1];\n  util.assert(\n      inDepth === filterShape[2],\n      () => `Error in conv2dDerFilter: depth of input ${inDepth}) must ` +\n          `match input depth in filter (${filterShape[2]}.`);\n  util.assert(\n      outDepth === filterShape[3],\n      () => `Error in conv2dDerFilter: depth of dy (${outDepth}) must ` +\n          `match output depth for filter (${filterShape[3]}).`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in conv2dDerFilter: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const dilations = 1;\n  const $dataFormat = conv_util.convertConv2DDataFormat(dataFormat);\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, filterShape, strides, dilations, pad, dimRoundingMode, false,\n      $dataFormat);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv2dDerFilter(x4D, dy4D, convInfo), {x4D, dy4D});\n}\n\n/**\n * Computes the transposed 2D convolution of an image, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 4 or rank 3, of shape\n *   `[batch, height, width, inDepth]`. If rank 3, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 4 or rank 3:\n *     `[batch, height, width, outDepth]`. If rank 3, batch of 1 is assumed.\n * @param strides The strides of the original convolution:\n *     `[strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n * @param dimRoundingMode The rounding mode used when computing output\n *    dimensions if pad is a number. If none is provided, it will not round\n *    and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv2dTranspose_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    outputShape: [number, number, number, number]|[number, number, number],\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'conv2dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv2dTranspose');\n\n  return conv2dDerInput_(\n      outputShape, $x, $filter, strides, pad, 'NHWC', dimRoundingMode);\n}\n\n/**\n * Depthwise 2D convolution.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction depthwiseConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filter: Tensor4D|TensorLike,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC',\n    dilations: [number, number]|number = [1, 1],\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in depthwiseConv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in depthwiseConv2d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in depthwiseConv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [x4D, $filter] = saved;\n    return {\n      x: () => depthwiseConv2dDerInput(\n          (x4D as Tensor4D).shape, dy, $filter as Tensor4D, convInfo),\n      filter: () => depthwiseConv2dDerFilter(\n          x4D as Tensor4D, dy, ($filter as Tensor4D).shape, convInfo),\n    };\n  };\n\n  const inputsToSave = [x4D, $filter];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.depthwiseConv2D(x4D, $filter, convInfo);\n        save([x4D, $filter]);\n        return res;\n      },\n      {x: x4D, filter: $filter}, grad, 'DepthwiseConv2dNative', convInfo,\n      inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * 2-D convolution with separable filters.\n *\n * Performs a depthwise convolution that acts separately on channels followed\n * by a pointwise convolution that mixes channels. Note that this is\n * separability between dimensions [1, 2] and 3, not spatial separability\n * between dimensions 1 and 2.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/separable_conv2d)\n * for more details.\n *\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param depthwiseFilter The depthwise filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`. This is\n *     the filter used in the first step.\n * @param pointwiseFilter The pointwise filter tensor, rank 4, of shape\n *     `[1, 1, inChannels * channelMultiplier, outChannels]`. This is\n *     the filter used in the second step.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction separableConv2d_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthwiseFilter: Tensor4D|TensorLike,\n    pointwiseFilter: Tensor4D|TensorLike, strides: [number, number]|number,\n    pad: 'valid'|'same', dilation: [number, number]|number = [1, 1],\n    dataFormat: 'NHWC'|'NCHW' = 'NHWC'): T {\n  const $x = convertToTensor(x, 'x', 'separableConv2d');\n  const $depthwiseFilter =\n      convertToTensor(depthwiseFilter, 'depthwiseFilter', 'separableConv2d');\n  const $pointwiseFilter =\n      convertToTensor(pointwiseFilter, 'pointwiseFilter', 'separableConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n\n  if (dataFormat === 'NCHW') {\n    throw new Error(\n        'separableConv2d currently does not support dataFormat NCHW; only ' +\n        'NHWC is supported');\n  }\n\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in separableConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $depthwiseFilter.rank === 4,\n      () => `Error in separableConv2d: depthwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.rank === 4,\n      () => `Error in separableConv2d: pointwise filter must be rank 4, but ` +\n          `got rank ${$depthwiseFilter.rank}.`);\n  util.assert(\n      $pointwiseFilter.shape[0] === 1,\n      () =>\n          `Error in separableConv2d: the first dimension of pointwise filter ` +\n          ` must be 1, but got ${$pointwiseFilter.shape[0]}.`);\n  util.assert(\n      $pointwiseFilter.shape[1] === 1,\n      () => `Error in separableConv2d: the second dimension of pointwise ` +\n          `filter must be 1, but got ${$pointwiseFilter.shape[1]}.`);\n\n  const inChannels = $depthwiseFilter.shape[2];\n  const channelMultiplier = $depthwiseFilter.shape[3];\n  util.assert(\n      $pointwiseFilter.shape[2] === inChannels * channelMultiplier,\n      () =>\n          `Error in separableConv2d: the third dimension of pointwise filter ` +\n          `must be ${inChannels * channelMultiplier}, ` +\n          `but got ${$pointwiseFilter.shape[2]}.`);\n\n  const depthwise = depthwiseConv2d(\n      x4D, $depthwiseFilter, strides, pad, dataFormat, dilation);\n  const pointwiseStride = 1;\n  const res =\n      conv2d(depthwise, $pointwiseFilter, pointwiseStride, 'valid', dataFormat);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction parseTupleParam(\n    param: number|[number, number]|[number, number, number]):\n    [number, number, number] {\n  if (typeof param === 'number') {\n    return [param, param, param];\n  }\n  if (param.length === 2) {\n    return [param[0], param[1], 1];\n  }\n  return param;\n}\n\nfunction tupleValuesAreOne(\n    param: number|[number, number]|[number, number, number]): boolean {\n  const [dimA, dimB, dimC] = parseTupleParam(param);\n  return dimA === 1 && dimB === 1 && dimC === 1;\n}\n\nfunction eitherStridesOrDilationsAreOne(\n    strides: number|[number, number]|[number, number, number],\n    dilations: number|[number, number]|[number, number, number]): boolean {\n  return tupleValuesAreOne(strides) || tupleValuesAreOne(dilations);\n}\n\nfunction depthwiseConv2dDerInput_<T extends Tensor3D|Tensor4D>(\n    xShape: [number, number, number, number]|[number, number, number], dy: T,\n    filter: Tensor4D, convInfo: conv_util.Conv2DInfo): T {\n  let dy4D = dy as Tensor4D;\n  let reshapedTo4D = false;\n  if (dy.rank === 3) {\n    reshapedTo4D = true;\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerInput(dy4D, filter, convInfo),\n      {dy4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nfunction depthwiseConv2dDerFilter_<T extends Tensor3D|Tensor4D>(\n    x: T, dy: T, filterShape: [number, number, number, number],\n    convInfo: conv_util.Conv2DInfo): Tensor4D {\n  let x4D = x as Tensor4D;\n  if (x.rank === 3) {\n    x4D = x.as4D(1, x.shape[0], x.shape[1], x.shape[2]);\n  }\n  let dy4D = dy as Tensor4D;\n  if (dy4D.rank === 3) {\n    dy4D = dy.as4D(1, dy.shape[0], dy.shape[1], dy.shape[2]);\n  }\n  return ENGINE.runKernelFunc(\n      backend => backend.depthwiseConv2DDerFilter(x4D, dy4D, convInfo),\n      {x4D, dy4D});\n}\n\n/**\n * Computes a 3D convolution over the input x.\n *\n * @param x The input tensor, of rank 5 or rank 4, of shape\n *     `[batch, depth, height, width, channels]`. If rank 4,\n * batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inChannels, outChannels]`.\n *      inChannels must match between input and filter.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat: An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationDepth, dilationHeight,\n *     dilationWidth]` in which we sample input values across the height\n *     and width dimensions in atrous convolution. Defaults to `[1, 1, 1]`.\n *     If `dilations` is a single number, then\n *     `dilationDepth == dilationHeight == dilationWidth`. If it is greater\n *     than 1, then all values of `strides` must be 1.\n */\n\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    strides: [number, number, number]|number, pad: 'valid'|'same',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations: [number, number, number]|number = [1, 1, 1]): T {\n  const $x = convertToTensor(x, 'x', 'conv3d');\n  const $filter = convertToTensor(filter, 'filter', 'conv3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3d: input must be rank 5, but got rank ${x5D.rank}.`);\n  util.assert(\n      $filter.rank === 5,\n      () => `Error in conv3d: filter must be rank 5, but got rank ` +\n          `${$filter.rank}.`);\n  util.assert(\n      x5D.shape[4] === $filter.shape[3],\n      () => `Error in conv3d: depth of input (${x5D.shape[4]}) must match ` +\n          `input depth for filter ${$filter.shape[3]}.`);\n  util.assert(\n      eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv3D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in conv3d: got dataFormat of ${\n          dataFormat} but only NDHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, $filter.shape, strides, dilations, pad);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    util.assert(\n        tupleValuesAreOne(dilations),\n        () =>\n            'Error in gradient of conv3D: dilation rates greater than 1 are ' +\n            `not yet supported in gradients. Got dilations '${dilations}'`);\n    const [x5D, $filter] = saved;\n    return {\n      x: () => conv3dDerInput_(\n          (x5D as Tensor5D).shape, dy, $filter as Tensor5D, strides, pad),\n      $filter: () => conv3dDerFilter_(\n          x5D as Tensor5D, dy, ($filter as Tensor5D).shape, strides, pad)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.conv3d(x5D, $filter, convInfo);\n    save([x5D, $filter]);\n    return res;\n  }, {x: x5D, $filter}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the input of a 3D convolution.\n *\n * @param xShape The shape of the input: [batch, depth, height, width,\n * in_channels]. If length of 4, batch of 1 is assumed.\n * @param dy The derivative of the output, of rank 5 or rank 4 of shape\n *   `[batch, outDepth, outHeight, outWidth, in_channels]`.\n * If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 5, of shape\n *     `[filterDepth, filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideDepth, strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm used:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n */\nfunction conv3dDerInput_<T extends Tensor4D|Tensor5D>(\n    xShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    dy: T, filter: Tensor5D, strides: [number, number, number]|number,\n    pad: 'valid'|'same'): T {\n  util.assert(\n      xShape.length === dy.rank,\n      () => `Length of inShape ` +\n          `(${xShape.length}) and rank of dy (${dy.rank}) must match`);\n\n  let xShape5D = xShape as [number, number, number, number, number];\n  let dy5D = dy as Tensor5D;\n  let reshapedTo5D = false;\n  if (dy.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n    xShape5D = [1, xShape[0], xShape[1], xShape[2], xShape[3]];\n  }\n\n  const inDepth = xShape5D[4];\n  const outDepth = dy5D.shape[4];\n  util.assert(\n      xShape5D.length === 5,\n      () =>\n          `Error in conv3dDerInput: inShape must be length 5, but got length ` +\n          `${xShape5D.length}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerInput: dy must be rank 5, but got ` +\n          `rank ${dy5D.rank}`);\n  util.assert(\n      filter.rank === 5,\n      () => `Error in conv3dDerInput: filter must be rank 5, but got ` +\n          `rank ${filter.rank}`);\n  util.assert(\n      inDepth === filter.shape[3],\n      () => `Error in conv3dDerInput: depth of input (${inDepth}) must ` +\n          `match input depth for filter ${filter.shape[3]}.`);\n  util.assert(\n      outDepth === filter.shape[4],\n      () => `Error in conv3dDerInput: depth of output (${outDepth}) must ` +\n          `match output depth for filter ${filter.shape[4]}.`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      xShape5D, filter.shape, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.conv3dDerInput(dy5D, filter, convInfo), {dy5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the derivative of the filter of a 3D convolution.\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     [batch, depth, height, width, inChannels]. If rank 4, batch of 1 is\n *     assumed.\n * @param dy The dy image, of rank 5 or rank 4, of shape\n *     [batch, depth, height, width, outDepth]. If rank 4, batch of 1 is\n *     assumed.\n * @param filterShape The shape of the filter, length 5,\n *     [filterDepth, filterHeight, filterWidth, inDepth, outDepth].\n * @param strides The strides of the convolution: [strideDepth, strideHeight,\n * strideWidth].\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction conv3dDerFilter_<T extends Tensor4D|Tensor5D>(\n    x: T, dy: T, filterShape: [number, number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): Tensor5D {\n  let x5D = x as Tensor5D;\n  if (x.rank === 4) {\n    x5D = x.as5D(1, x.shape[0], x.shape[1], x.shape[2], x.shape[3]);\n  }\n  let dy5D = dy as Tensor5D;\n  if (dy5D.rank === 4) {\n    dy5D = dy.as5D(1, dy.shape[0], dy.shape[1], dy.shape[2], dy.shape[3]);\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in conv3dDerFilter: input must be rank 5, but got shape ` +\n          `${x5D.shape}.`);\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in conv3dDerFilter: dy must be rank 5, but got shape ` +\n          `${dy5D.shape}.`);\n  util.assert(\n      filterShape.length === 5,\n      () => `Error in conv3dDerFilter: filterShape must be length 5, but got ` +\n          `${filterShape}.`);\n  util.assert(\n      x5D.shape[4] === filterShape[3],\n      () => `Error in conv3dDerFilter: depth of input ${x5D.shape[4]}) must ` +\n          `match input depth in filter (${filterShape[3]}.`);\n  util.assert(\n      dy5D.shape[4] === filterShape[4],\n      () => `Error in conv3dDerFilter: depth of dy (${dy5D.shape[4]}) must ` +\n          `match output depth for filter (${filterShape[4]}).`);\n\n  const dilations = 1;\n\n  const convInfo = conv_util.computeConv3DInfo(\n      x5D.shape, filterShape, strides, dilations, pad);\n  return ENGINE.runKernelFunc(\n      backend => backend.conv3dDerFilter(x5D, dy5D, convInfo), {x5D, dy5D});\n}\n\n/**\n * Computes the transposed 3D convolution of a volume, also known as a\n * deconvolution.\n *\n * @param x The input image, of rank 5 or rank 4, of shape\n *   `[batch, depth, height, width, inDepth]`. If rank 4, batch of 1 is assumed.\n * @param filter The filter, rank 4, of shape\n *     `[depth, filterHeight, filterWidth, outDepth, inDepth]`.\n *     `inDepth` must match `inDepth` in `x`.\n * @param outputShape Output shape, of rank 5 or rank 4:\n *     `[batch, depth, height, width, outDepth]`. If rank 3, batch of 1 is\n *    assumed.\n * @param strides The strides of the original convolution:\n *     `[strideDepth, strideHeight, strideWidth]`.\n * @param pad  The type of padding algorithm used in the non-transpose version\n *    of the op.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction conv3dTranspose_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filter: Tensor5D|TensorLike,\n    outputShape:\n        [number, number, number, number,\n         number]|[number, number, number, number],\n    strides: [number, number, number]|number, pad: 'valid'|'same'): T {\n  const $x = convertToTensor(x, 'x', 'conv3dTranspose');\n  const $filter = convertToTensor(filter, 'filter', 'conv3dTranspose');\n\n  return conv3dDerInput_(outputShape, $x, $filter, strides, pad);\n}\n\nexport const conv1d = op({conv1d_});\nexport const conv2d = op({conv2d_});\nexport const conv3d = op({conv3d_});\nexport const conv2dDerFilter = op({conv2dDerFilter_});\nexport const conv2dDerInput = op({conv2dDerInput_});\nexport const depthwiseConv2d = op({depthwiseConv2d_});\nexport const depthwiseConv2dDerInput = op({depthwiseConv2dDerInput_});\nexport const depthwiseConv2dDerFilter = op({depthwiseConv2dDerFilter_});\nexport const separableConv2d = op({separableConv2d_});\nexport const conv2dTranspose = op({conv2dTranspose_});\nexport const conv3dTranspose = op({conv3dTranspose_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Computes the dot product of two matrices, A * B. These must be matrices.\n *\n * ```js\n * const a = tf.tensor2d([1, 2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * a.matMul(b).print();  // or tf.matMul(a, b)\n * ```\n * @param a First matrix in dot product operation.\n * @param b Second matrix in dot product operation.\n * @param transposeA If true, `a` is transposed before multiplication.\n * @param transposeB If true, `b` is transposed before multiplication.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction matMul_<T extends Tensor>(\n    a: T|TensorLike, b: T|TensorLike, transposeA = false,\n    transposeB = false): T {\n  let $a = convertToTensor(a, 'a', 'matMul');\n  let $b = convertToTensor(b, 'b', 'matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () => `Error in matMul: inputs must have the same rank of at least 2, ` +\n          `got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D] = saved as Tensor3D[];\n    if (!transposeA && !transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, true),\n        b: () => a3D.matMul(dy, true, false)\n      };\n    } else if (!transposeA && transposeB) {\n      return {\n        a: () => dy.matMul(b3D, false, false),\n        b: () => dy.matMul(a3D, true, false)\n      };\n    } else if (transposeA && !transposeB) {\n      return {\n        a: () => b3D.matMul(dy, false, true),\n        b: () => a3D.matMul(dy, false, false)\n      };\n    } else {\n      return {\n        a: () => b3D.matMul(dy, true, true),\n        b: () => dy.matMul(a3D, true, true)\n      };\n    }\n  };\n\n  const attrs = {transposeA, transposeB};\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.batchMatMul(a3D, b3D, transposeA, transposeB);\n    save([a3D, b3D]);\n    return res;\n  }, {a: a3D, b: b3D}, grad, 'BatchMatMul', attrs);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes the outer product of two vectors, `v1` and `v2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2, 3]);\n * const b = tf.tensor1d([3, 4, 5]);\n *\n * tf.outerProduct(a, b).print();\n * ```\n * @param v1 The first vector in the outer product operation.\n * @param v2 The second vector in the outer product operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction outerProduct_(\n    v1: Tensor1D|TensorLike, v2: Tensor1D|TensorLike): Tensor2D {\n  const $v1 = convertToTensor(v1, 'v1', 'outerProduct');\n  const $v2 = convertToTensor(v2, 'v2', 'outerProduct');\n\n  util.assert(\n      $v1.rank === 1 && $v2.rank === 1,\n      () => `Error in outerProduct: inputs must be rank 1, but got ranks ` +\n          `${$v1.rank} and ${$v2.rank}.`);\n\n  return $v1.as2D(-1, 1).matMul($v2.as2D(1, -1));\n}\n\n/**\n * Computes the dot product of two matrices and/or vectors, `t1` and `t2`.\n *\n * ```js\n * const a = tf.tensor1d([1, 2]);\n * const b = tf.tensor2d([[1, 2], [3, 4]]);\n * const c = tf.tensor2d([[1, 2, 3], [4, 5, 6]]);\n *\n * a.dot(b).print();  // or tf.dot(a, b)\n * b.dot(a).print();\n * b.dot(c).print();\n * ```\n * @param t1 The first tensor in the dot operation.\n * @param t2 The second tensor in the dot operation.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction dot_(t1: Tensor|TensorLike, t2: Tensor|TensorLike): Tensor {\n  const $t1 = convertToTensor(t1, 't1', 'dot');\n  const $t2 = convertToTensor(t2, 't2', 'dot');\n  util.assert(\n      ($t1.rank === 1 || $t1.rank === 2) && ($t2.rank === 1 || $t2.rank === 2),\n      () => `Error in dot: inputs must all be rank 1 or 2, but got ranks ` +\n          `${$t1.rank} and ${$t2.rank}.`);\n\n  const t1Inner = ($t1.rank === 1 ? $t1.size : $t1.shape[1]);\n  const t2Inner = ($t2.rank === 1 ? $t2.size : $t2.shape[0]);\n\n  util.assert(\n      t1Inner === t2Inner,\n      () => `Error in dot: inner dimensions of inputs must match, but got ` +\n          `${t1Inner} and ${t2Inner}.`);\n\n  if ($t1.rank === 1 && $t2.rank === 1) {\n    return $t1.as2D(1, -1).matMul($t2.as2D(-1, 1)).asScalar();\n  } else if ($t1.rank === 1 && $t2.rank === 2) {\n    return $t1.as2D(1, -1).matMul($t2.as2D($t2.shape[0], $t2.shape[1])).as1D();\n  } else if ($t1.rank === 2 && $t2.rank === 1) {\n    return $t1.matMul($t2.as2D(-1, 1)).as1D();\n  } else {\n    return $t1.matMul($t2.as2D($t2.shape[0], $t2.shape[1]));\n  }\n}\n\nexport const matMul = op({matMul_});\nexport const dot = op({dot_});\nexport const outerProduct = op({outerProduct_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Reverses a `tf.Tensor1D`.\n *\n * @param x The input tensor.\n */\nfunction reverse1d_(x: Tensor1D|TensorLike): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 1,\n      () => `Error in reverse1D: x must be rank 1 but got rank ${$x.rank}.`);\n  return reverse($x, 0);\n}\n\n/**\n * Reverses a `tf.Tensor2D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse2d_(x: Tensor2D|TensorLike, axis?: number|number[]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 2,\n      () => `Error in reverse2D: x must be rank 2 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor3D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse3d_(x: Tensor3D|TensorLike, axis?: number|number[]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 3,\n      () => `Error in reverse3D: x must be rank 3 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor4D` along a specified axis.\n *\n * @param x The input tensor.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\nfunction reverse4d_(x: Tensor4D|TensorLike, axis?: number|number[]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'reverse');\n  util.assert(\n      $x.rank === 4,\n      () => `Error in reverse4D: x must be rank 4 but got rank ${$x.rank}.`);\n  return reverse($x, axis);\n}\n\n/**\n * Reverses a `tf.Tensor` along a specified axis.\n *\n * Also available are stricter rank-specific methods that assert that `x` is\n * of the given rank:\n *   - `tf.reverse1d`\n *   - `tf.reverse2d`\n *   - `tf.reverse3d`\n *   - `tf.reverse4d`\n *\n * Except `tf.reverse1d` (which does not have axis param), all methods have\n * same signature as this method.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.reverse().print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.reverse(axis).print();\n * ```\n * @param x The input tensor to be reversed.\n * @param axis The set of dimensions to reverse. Must be in the\n *     range [-rank(x), rank(x)). Defaults to all axes.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction reverse_<T extends Tensor>(\n    x: T|TensorLike, axis?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'reverse');\n\n  if ($x.rank === 0) {\n    return $x.clone();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const grad = (dy: T) => {\n    return {$x: () => dy.reverse(axes)};\n  };\n  const res =\n      ENGINE.runKernelFunc(backend => backend.reverse($x, axes), {$x}, grad);\n  return res.reshapeAs($x);\n}\n\nexport const reverse = op({reverse_});\nexport const reverse1d = op({reverse1d_});\nexport const reverse2d = op({reverse2d_});\nexport const reverse3d = op({reverse3d_});\nexport const reverse4d = op({reverse4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D, Tensor5D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {batchToSpaceND, spaceToBatchND} from './array_ops';\nimport * as conv_util from './conv_util';\nimport {op} from './operation';\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction maxPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'maxPool');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in maxPool: input must be rank 4 but got rank ${x4D.rank}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x: () => maxPoolBackprop(\n          dy, x4D as Tensor4D, y as Tensor4D, filterSize, strides, dilations,\n          pad)\n    };\n  };\n\n  const inputsToSave = [x4D];\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool(x4D, convInfo);\n    save([x4D, y]);\n    return y;\n  }, {x: x4D}, grad, 'MaxPool', convInfo, inputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return maxPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\nfunction avgPoolImpl_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number, dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $x = convertToTensor(x, 'x', 'avgPool', 'float32');\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in avgPool: x must be rank 4 but got rank ${x4D.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  if (convInfo.filterWidth === 1 && convInfo.filterHeight === 1 &&\n      util.arraysEqual(convInfo.inShape, convInfo.outShape)) {\n    return $x.clone();\n  }\n\n  const grad = (dy: Tensor4D) => {\n    return {\n      x: () => avgPoolBackprop(dy, x4D, filterSize, strides, dilations, pad)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool(x4D, convInfo), {x: x4D}, grad, 'AvgPool',\n      convInfo);\n  res = res.cast($x.dtype);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the 2D average pooling of an image.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  return avgPoolImpl_(x, filterSize, strides, 1, pad, dimRoundingMode);\n}\n\n/**\n * Performs an N-D pooling operation\n *\n * @param input The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param windowShape The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param poolingType The type of pooling, either 'max' or 'avg'.\n * @param pad The type of padding algorithm:\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *         https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in dilated pooling. Defaults to `[1, 1]`. If `dilationRate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction pool_<T extends Tensor3D|Tensor4D>(\n    input: T|TensorLike, windowShape: [number, number]|number,\n    poolingType: 'avg'|'max', pad: 'valid'|'same'|number,\n    dilations?: [number, number]|number, strides?: [number, number]|number) {\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  if (strides == null) {\n    strides = 1;\n  }\n  if (pad === 0) {\n    pad = 'valid';\n  }\n  const $x = convertToTensor(input, 'x', 'maxPool');\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in pool: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  const convInfo = conv_util.computePool2DInfo(\n      x4D.shape, windowShape, strides, dilations, pad);\n  const dilation: [number, number] =\n      [convInfo.dilationHeight, convInfo.dilationWidth];\n\n  // The following implementation does batchToSpace(pool(spaceToBatch(x)))\n  // whenever dilation > 1 since the TF kernels do not support dilation > 1.\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L1037\n\n  let basePadding: number[][];\n  if (pad === 'same') {\n    basePadding = withSpaceToBatchBasePaddings(\n        [convInfo.filterHeight, convInfo.filterWidth], dilation);\n  } else {\n    basePadding = [[0, 0], [0, 0]];\n  }\n  const isDilationOne = dilation[0] === 1 && dilation[1] === 1;\n  const [adjustedPadding, adjustedCrops] = requiredSpaceToBatchPaddings(\n      [convInfo.inHeight, convInfo.inWidth], dilation, basePadding);\n  const convertedPad = isDilationOne ? pad : 'valid';\n  const convertedX =\n      isDilationOne ? x4D : spaceToBatchND(x4D, dilation, adjustedPadding);\n  const forwardOp = poolingType === 'avg' ?\n      () => avgPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad) :\n      () => maxPoolImpl_(\n          convertedX, windowShape, strides, 1 /* dilation */, convertedPad);\n  const y = forwardOp();\n  const res = isDilationOne ? y : batchToSpaceND(y, dilation, adjustedCrops);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 2D max pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The original input image, of rank 4, of shape\n *     [batchSize, height, width, channels].\n * @param output The original output image, of rank 4, of shape\n *     [batchSize, outHeight, outWidth, channels].\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPoolBackprop(\n    dy: Tensor4D|TensorLike, input: Tensor4D|TensorLike,\n    output: Tensor4D|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): Tensor4D {\n  const $dy = convertToTensor(dy, 'dy', 'maxPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPoolBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy ` +\n          `(${$dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in maxPoolBackProp: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  util.assert(\n      $dy.rank === 4,\n      () => `Error in maxPoolBackprop: dy must be rank 4 but got rank ` +\n          `${$dy.rank}.`);\n  util.assert(\n      $input.rank === 4,\n      () => `Error in maxPoolBackprop: input must be rank 4 but got rank ` +\n          `${$input.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPoolBackprop: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool2DInfo(\n      $input.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPoolBackprop($dy, $input, $output, convInfo),\n      {$dy, $input});\n  return res;\n}\n\n/**\n * Computes the backprop of an 2D avg pool.\n *\n * @param dy The dy error, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param input The input image, of rank 4 or rank 3 of shape\n *     [batchSize, height, width, channels]. If rank 3, batch of 1 is\n * assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n */\nfunction avgPoolBackprop<T extends Tensor3D|Tensor4D>(\n    dy: T|TensorLike, input: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number, dilations: [number, number]|number,\n    pad: 'valid'|'same'|number): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPoolBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPoolBackprop');\n  util.assert(\n      $input.rank === $dy.rank,\n      () => `Rank of input (${$input.rank}) does not match rank of dy (${\n          $dy.rank})`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in avgPoolBackprop: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n\n  let input4D = $input as Tensor4D;\n  let dy4D = $dy as Tensor4D;\n  let reshapedTo4D = false;\n  if ($input.rank === 3) {\n    reshapedTo4D = true;\n    input4D = $input.as4D(1, $input.shape[0], $input.shape[1], $input.shape[2]);\n    dy4D = $dy.as4D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2]);\n  }\n\n  util.assert(\n      dy4D.rank === 4,\n      () => `Error in avgPoolBackprop: dy must be rank 4 but got rank ` +\n          `${dy4D.rank}.`);\n  util.assert(\n      input4D.rank === 4,\n      () => `Error in avgPoolBackprop: input must be rank 4 but got rank ` +\n          `${input4D.rank}.`);\n\n  const convInfo = conv_util.computePool2DInfo(\n      input4D.shape, filterSize, strides, dilations, pad);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPoolBackprop(dy4D, input4D, convInfo),\n      {dy4D, input4D});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n// Helper function to compute crops and paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/array_ops.py#L2184\nfunction requiredSpaceToBatchPaddings(\n    inputShape: [number, number], blockShape: [number, number],\n    basePadding: number[][]) {\n  const padStart = basePadding.map(b => b[0]);\n  const origPadEnd = basePadding.map(b => b[1]);\n  const fullInputShape = inputShape.concat(padStart, origPadEnd);\n  const padEndExtra = blockShape.map((b, i) => (b - fullInputShape[i] % b) % b);\n  const padEnd = origPadEnd.map((s, i) => s + padEndExtra[i]);\n  const paddings = blockShape.map((_, i) => [padStart[i], padEnd[i]]);\n  const crops = blockShape.map((_, i) => [0, padEndExtra[i]]);\n  return [paddings, crops];\n}\n\n// Helper function to compute base paddings for pool with dilation > 1.\n// tslint:disable-next-line:max-line-length\n// https://github.com/tensorflow/tensorflow/blob/50f6bb67dc98c9b74630b6047aae7a4f8a40fd02/tensorflow/python/ops/nn_ops.py#L524\nfunction withSpaceToBatchBasePaddings(\n    filterShape: [number, number], dilation: [number, number]) {\n  // Spatial dimensions of the filters and the upsampled filters in which we\n  // introduce (rate - 1) zeros between consecutive filter values.\n  const dilatedFilterShape = filterShape.map((s, i) => {\n    return s + (s - 1) * (dilation[i] - 1);\n  });\n  const padExtraShape = dilatedFilterShape.map(s => s - 1);\n\n  // When padding is odd, we pad more at end, following the same\n  // convention as conv2d.\n  const padExtraStart = padExtraShape.map(s => Math.floor(s / 2));\n  const padExtraEnd = padExtraShape.map((s, i) => s - padExtraStart[i]);\n  return padExtraShape.map((_, i) => {\n    return [padExtraStart[i], padExtraEnd[i]];\n  });\n}\n\n/**\n * Computes the 3D average pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.avgPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction avgPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number,\n    ): T {\n  const $x = convertToTensor(x, 'x', 'avgPool3d', 'float32');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in avgPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in avgPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in avgPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D) => {\n    return {\n      x: () => avgPool3dBackprop(\n          dy, x5D, filterSize, strides, dilations, pad, dimRoundingMode)\n    };\n  };\n\n  let res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3d(x5D, convInfo), {x: x5D}, grad);\n  res = res.cast(x5D.dtype);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d avg pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction avgPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'avgPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'avgPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in avgPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in avgPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in avgPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.avgPool3dBackprop(dy5D, input5D, convInfo),\n      {dy5D, input5D});\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 3D max pooling.\n *\n * ```js\n * const x = tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]);\n * const result = tf.maxPool3d(x, 2, 1, 'valid');\n * result.print();\n * ```\n *\n * @param x The input tensor, of rank 5 or rank 4 of shape\n *     `[batch, depth, height, width, inChannels]`.\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     If `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`.\n *     If `strides` is a single number,\n *     then `strideDepth == strideHeight == strideWidth`.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1*1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPool3d_<T extends Tensor4D|Tensor5D>(\n    x: T|TensorLike, filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil',\n    dataFormat: 'NDHWC'|'NCDHW' = 'NDHWC',\n    dilations?: [number, number, number]|number): T {\n  const $x = convertToTensor(x, 'x', 'maxPool3d');\n\n  let x5D = $x as Tensor5D;\n  let reshapedTo5D = false;\n  if ($x.rank === 4) {\n    reshapedTo5D = true;\n    x5D = $x.as5D(1, $x.shape[0], $x.shape[1], $x.shape[2], $x.shape[3]);\n  }\n\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      x5D.rank === 5,\n      () => `Error in maxPool3d: x must be rank 5 but got rank ${x5D.rank}.`);\n  util.assert(\n      dataFormat === 'NDHWC',\n      () => `Error in maxPool3d: Only NDHWC is currently supported, ` +\n          `but got dataFormat of ${dataFormat}`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3d: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      x5D.shape, filterSize, strides, dilations, pad, dimRoundingMode,\n      dataFormat);\n\n  const grad = (dy: Tensor5D, saved: Tensor[]) => {\n    const [x5D, y] = saved;\n    return {\n      x: () => maxPool3dBackprop(\n          dy, x5D as Tensor5D, y as Tensor5D, filterSize, strides, dilations,\n          pad, dimRoundingMode)\n    };\n  };\n\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.maxPool3d(x5D, convInfo);\n    save([x5D, y]);\n    return y;\n  }, {x: x5D}, grad);\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the backprop of a 3d max pool.\n *\n * @param dy The dy error, of rank 5 of shape\n *     [batchSize, depth, height, width, channels].\n * assumed.\n * @param input The original input image, of rank 5 or rank 4 of shape\n *     [batchSize, depth, height, width, channels].\n * @param output The original output image, of rank 5 of shape\n *     [batchSize, outDepth, outHeight, outWidth, channels].\n * @param filterSize The filter size:\n *     `[filterDepth, filterHeight, filterWidth]`.\n *     `filterSize` is a single number,\n *     then `filterDepth == filterHeight == filterWidth`.\n * @param strides The strides of the pooling:\n *     `[strideDepth, strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dilations The dilation rates:\n *     `[dilationDepth, dilationHeight, dilationWidth]`\n *     in which we sample input values across the depth, height and width\n *     dimensions in dilated pooling.\n *     Defaults to `[1, 1, 1]`. If `dilations` is a single number,\n *     then `dilationDepth == dilationHeight == dilationWidth`.\n *     If it is greater than 1, then all values of `strides` must be 1.\n * @param pad A string from: 'same', 'valid'. The type of padding algorithm\n *     used in the forward prop of the op.\n * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. The\n *     rounding mode used when computing output dimensions if pad is a\n *     number. If none is provided, it will not round and error if the output\n *     is of fractional size.\n */\nfunction maxPool3dBackprop<T extends Tensor4D|Tensor5D>(\n    dy: T|TensorLike, input: T|TensorLike, output: T|TensorLike,\n    filterSize: [number, number, number]|number,\n    strides: [number, number, number]|number,\n    dilations: [number, number, number]|number, pad: 'valid'|'same'|number,\n    dimRoundingMode?: 'floor'|'round'|'ceil'): T {\n  const $dy = convertToTensor(dy, 'dy', 'maxPool3dBackprop');\n  const $input = convertToTensor(input, 'input', 'maxPool3dBackprop');\n  const $output = convertToTensor(output, 'output', 'maxPool3dBackprop');\n\n  let dy5D = $dy as Tensor5D;\n  let input5D = $input as Tensor5D;\n  let output5D = $output as Tensor5D;\n  let reshapedTo5D = false;\n  if ($input.rank === 4) {\n    reshapedTo5D = true;\n    dy5D = $dy.as5D(1, $dy.shape[0], $dy.shape[1], $dy.shape[2], $dy.shape[3]);\n    input5D = $input.as5D(\n        1, $input.shape[0], $input.shape[1], $input.shape[2], $input.shape[3]);\n    output5D = $output.as5D(\n        1, $output.shape[0], $output.shape[1], $output.shape[2],\n        $output.shape[3]);\n  }\n\n  util.assert(\n      dy5D.rank === 5,\n      () => `Error in maxPool3dBackprop: dy must be rank 5 but got rank ` +\n          `${dy5D.rank}.`);\n  util.assert(\n      input5D.rank === 5,\n      () => `Error in maxPool3dBackprop: input must be rank 5 but got rank ` +\n          `${input5D.rank}.`);\n  util.assert(\n      output5D.rank === 5,\n      () => `Error in maxPool3dBackprop: output must be rank 5 but got rank ` +\n          `${output5D.rank}.`);\n  if (dilations == null) {\n    dilations = [1, 1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in maxPool3dBackprop: Either strides or dilations ' +\n          `must be 1. Got strides ${strides} and dilations '${dilations}'`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in maxPool3dBackprop: pad must be an integer when ` +\n            `using, dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computePool3DInfo(\n      input5D.shape, filterSize, strides, dilations, pad, dimRoundingMode);\n  const res = ENGINE.runKernelFunc(\n      backend => backend.maxPool3dBackprop(dy5D, input5D, output5D, convInfo),\n      {dy5D, input5D});\n\n  if (reshapedTo5D) {\n    return res.as4D(res.shape[1], res.shape[2], res.shape[3], res.shape[4]) as\n        T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes the 2D max pooling of an image with Argmax index.\n * The indices in argmax are flattened, so that a maximum value at position `[b,\n * y, x, c]` becomes flattened index: `(y * width + x) * channels + c` if\n * include_batch_in_index is False; `((b * height + y) * width + x) * channels\n * +c` if include_batch_in_index is True.\n *\n * The indices returned are always in `[0, height) x [0, width)` before\n * flattening.\n *\n * @param x The input tensor, of rank 4 or rank 3 of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param filterSize The filter size: `[filterHeight, filterWidth]`. If\n *     `filterSize` is a single number, then `filterHeight == filterWidth`.\n * @param strides The strides of the pooling: `[strideHeight, strideWidth]`. If\n *     `strides` is a single number, then `strideHeight == strideWidth`.\n * @param dataFormat An optional string from: \"NDHWC\", \"NCDHW\". Defaults to\n *     \"NDHWC\". Specify the data format of the input and output data. With the\n *     default format \"NDHWC\", the data is stored in the order of: [batch,\n *     depth, height, width, channels]. Only \"NDHWC\" is currently supported.\n * @param pad The type of padding algorithm.\n *    - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *    - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *    - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param includeBatchIndex Defaults to False. Whether to include batch\n *    dimension in flattened index of argmax.\n */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\n/** @doc {heading: 'Operations', subheading: 'Convolution'} */\nfunction maxPoolWithArgmax_<T extends Tensor4D>(\n    x: T|TensorLike, filterSize: [number, number]|number,\n    strides: [number, number]|number,\n    pad: 'valid'|'same'|number, includeBatchInIndex = false): NamedTensorMap {\n  const $x = convertToTensor(x, 'x', 'maxPoolWithArgmax');\n\n  const attrs = {filterSize, strides, pad, includeBatchInIndex};\n\n  const result =\n      ENGINE.runKernel('MaxPoolWithArgmax', {x: $x}, attrs) as Tensor[];\n\n  return {result: result[0], indexes: result[1]};\n}\n\nexport const maxPool = op({maxPool_});\nexport const avgPool = op({avgPool_});\nexport const pool = op({pool_});\nexport const maxPool3d = op({maxPool3d_});\nexport const avgPool3d = op({avgPool3d_});\nexport const maxPoolWithArgmax = op({maxPoolWithArgmax_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\nimport {pad} from './pad';\nimport * as slice_util from './slice_util';\n\n/**\n * Extracts a 1D slice from 1D array starting at coordinates `begin` and is\n * of length `size`. See `slice` for details.\n */\nfunction slice1d_(\n    x: Tensor1D|TensorLike, begin: number, size: number): Tensor1D {\n  const $x = convertToTensor(x, 'x', 'slice1d');\n  util.assert(\n      $x.rank === 1,\n      () =>\n          `slice1d expects a rank-1 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, [begin], [size]);\n}\n\n/**\n * Extracts a 2D slice from a 2D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice2d_(\n    x: Tensor2D|TensorLike, begin: [number, number],\n    size: [number, number]): Tensor2D {\n  const $x = convertToTensor(x, 'x', 'slice2d');\n  util.assert(\n      $x.rank === 2,\n      () =>\n          `slice2d expects a rank-2 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 3D slice from a 3D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice3d_(\n    x: Tensor3D|TensorLike, begin: [number, number, number],\n    size: [number, number, number]): Tensor3D {\n  const $x = convertToTensor(x, 'x', 'slice3d');\n  util.assert(\n      $x.rank === 3,\n      () =>\n          `slice3d expects a rank-3 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a 4D slice from a 4D array starting at coordinates `begin` and\n * is of size `size`. See `slice` for details.\n */\nfunction slice4d_(\n    x: Tensor4D|TensorLike, begin: [number, number, number, number],\n    size: [number, number, number, number]): Tensor4D {\n  const $x = convertToTensor(x, 'x', 'slice4d');\n  util.assert(\n      $x.rank === 4,\n      () =>\n          `slice4d expects a rank-4 tensor, but got a rank-${$x.rank} tensor`);\n  return slice($x, begin, size);\n}\n\n/**\n * Extracts a slice from a `tf.Tensor` starting at coordinates `begin`\n * and is of size `size`.\n *\n * Also available are stricter rank-specific methods with the same signature\n * as this method that assert that `x` is of the given rank:\n *   - `tf.slice1d`\n *   - `tf.slice2d`\n *   - `tf.slice3d`\n *   - `tf.slice4d`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.slice([1], [2]).print();\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * x.slice([1, 0], [1, 2]).print();\n * ```\n * @param x The input `tf.Tensor` to slice from.\n * @param begin The coordinates to start the slice from. The length can be\n *     less than the rank of x - the rest of the axes will have implicit 0 as\n *     start. Can also be a single number, in which case it specifies the\n *     first axis.\n * @param size The size of the slice. The length can be less than the rank of\n *     x - the rest of the axes will have implicit -1. A value of -1 requests\n *     the rest of the dimensions in the axis. Can also be a single number,\n *     in which case it specifies the size of the first axis.\n */\n/** @doc {heading: 'Tensors', subheading: 'Slicing and Joining'} */\nfunction slice_<R extends Rank, T extends Tensor<R>>(\n    x: T|TensorLike, begin: number|number[], size?: number|number[]): T {\n  const $x = convertToTensor(x, 'x', 'slice');\n\n  if ($x.rank === 0) {\n    throw new Error('Slicing scalar is not possible');\n  }\n  // The following logic allows for more ergonomic calls.\n  let begin_: number[];\n  if (typeof begin === 'number') {\n    begin_ = [begin, ...new Array($x.rank - 1).fill(0)];\n  } else if (begin.length < $x.rank) {\n    begin_ = begin.concat(new Array($x.rank - begin.length).fill(0));\n  } else {\n    begin_ = begin.slice();\n  }\n  begin_.forEach(d => {\n    util.assert(\n        d !== -1, () => 'slice() does not support negative begin indexing.');\n  });\n  let size_: number[];\n  if (size == null) {\n    size_ = new Array($x.rank).fill(-1);\n  } else if (typeof size === 'number') {\n    size_ = [size, ...new Array($x.rank - 1).fill(-1)];\n  } else if (size.length < $x.rank) {\n    size_ = size.concat(new Array($x.rank - size.length).fill(-1));\n  } else {\n    size_ = size;\n  }\n  size_ = size_.map((d, i) => {\n    if (d >= 0) {\n      return d;\n    } else {\n      util.assert(\n          d === -1,\n          () => `Negative size values should be exactly -1 but got ` +\n              `${d} for the slice() size at index ${i}.`);\n      return $x.shape[i] - begin_[i];\n    }\n  });\n  slice_util.assertParamsValid($x, begin_, size_);\n  const inputShape = $x.shape;\n  const grad = (dy: T) => {\n    // Create an Nx2 padding where the first column represents how many\n    // zeros are prepended (at start) for each dimension, and the second\n    // column indicates how many zeros are appended (at end).\n\n    // The number of zeros to append is the shape of the input\n    // elementwise-subtracted by both the begin vector and sizes vector.\n    const paddings: Array<[number, number]> = [];\n    for (let i = 0; i < dy.rank; i++) {\n      paddings.push([begin_[i], inputShape[i] - begin_[i] - size_[i]]);\n    }\n    return {x: () => pad(dy, paddings)};\n  };\n  const attrs = {begin: begin_, size: size_};\n  return ENGINE.runKernelFunc(\n      backend => backend.slice($x, begin_, size_), {x: $x}, grad, 'Slice',\n      attrs);\n}\n\nexport const slice = op({slice_});\nexport const slice1d = op({slice1d_});\nexport const slice2d = op({slice2d_});\nexport const slice3d = op({slice3d_});\nexport const slice4d = op({slice4d_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {ones, scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes the log(sum(exp(elements across the reduction dimensions)).\n *\n * Reduces the input along the dimensions given in `axis`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.logSumExp().print();  // or tf.logSumExp(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.logSumExp(axis).print();  // or tf.logSumExp(a, axis)\n * ```\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. If null (the default),\n *     reduces all dimensions.\n * @param keepDims If true, retains reduced dimensions with length\n *     of 1. Defaults to false.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction logSumExp_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'logSumExp');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const xMax = $x.max(axes, true /* keepDims */);\n  const a = $x.sub(xMax);\n  const b = a.exp();\n  const c = b.sum(axes);\n  const d = c.log();\n  const res = xMax.reshape(d.shape).add(d);\n\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, axes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the sum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If axes has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.sum().print();  // or tf.sum(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.sum(axis).print();  // or tf.sum(x, axis)\n * ```\n *\n * @param x The input tensor to compute the sum over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction sum_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'sum');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since sum is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const permutation = axis_util.getAxesPermutation(axes, x.rank);\n    let reductionAxes = axes;\n    let permutedX = x;\n    if (permutation != null) {\n      permutedX = x.transpose(permutation);\n      reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, x.rank);\n    }\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32'));\n      return derX;\n    };\n\n    const gradInputs = (dy: Tensor) => {\n      return {x: () => gradFunc(dy)};\n    };\n\n    const attrs = {axes: reductionAxes};\n    let value = ENGINE.runKernelFunc(\n        backend => backend.sum(permutedX, reductionAxes), {x: permutedX},\n        gradInputs, 'Sum', attrs);\n\n    if (keepDims) {\n      const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n      value = value.reshape(newShape);\n    }\n\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Computes the product of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and a\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.prod().print();  // or tf.prod(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.prod(axis).print();  // or tf.prod(x, axis)\n * ```\n *\n * @param x The input tensor to compute the product over. If the dtype is `bool`\n *   it will be converted to `int32` and the output dtype will be `int32`.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction prod_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'prod');\n\n  if ($x.dtype === 'bool') {\n    $x = $x.toInt();\n  }\n  const axes = util.parseAxisParam(axis, $x.shape);\n\n  const permutation = axis_util.getAxesPermutation(axes, $x.rank);\n  let reductionAxes = axes;\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX = $x.transpose(permutation);\n    reductionAxes = axis_util.getInnerMostAxes(reductionAxes.length, $x.rank);\n  }\n  let value = ENGINE.runKernelFunc(\n      backend => backend.prod(permutedX, reductionAxes), {permutedX});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(value.shape, axes);\n    value = value.reshape(newShape);\n  }\n\n  return value as T;\n}\n/**\n * Computes the mean of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces `x` along the dimensions given in `axis`. Unless `keepDims` is\n * true, the rank of the `tf.Tensor` is reduced by 1 for each entry in `axis`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axis` has no entries, all dimensions are reduced, and a `tf.Tensor` with\n * a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.mean().print();  // or tf.mean(a)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.mean(axis).print();  // or tf.mean(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction mean_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  const $x = convertToTensor(x, 'x', 'mean');\n\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const shapes = axis_util.computeOutAndReduceShapes($x.shape, axes);\n  const reduceShape = shapes[1];\n  const reduceSize = util.sizeFromShape(reduceShape);\n\n  // Use a custom gradient to bypass 2 gradient backprops since mean is used\n  // extremely often.\n  const customOp = customGrad((x: Tensor) => {\n    const reduceSizeScalar = scalar(reduceSize);\n    // Cast if needed.\n    const xReduce =\n        reduceSizeScalar.dtype === x.dtype ? x : x.cast(reduceSizeScalar.dtype);\n    const res = xReduce.div(reduceSizeScalar);\n    const value = res.sum(axis, keepDims);\n\n    const gradFunc = (dy: Tensor) => {\n      const expandedDyShape = x.shape.slice();\n      axes.forEach(axis => {\n        expandedDyShape[axis] = 1;\n      });\n      const expandedDy = dy.reshape(expandedDyShape);\n      const derX = expandedDy.mul(ones(x.shape, 'float32')).div(reduceSize);\n      return derX;\n    };\n    return {value, gradFunc};\n  });\n\n  return customOp($x) as T;\n}\n\n/**\n * Gradient helper function for the min and max operations.\n */\nfunction gradForMinAndMax<T extends Tensor>(\n    dy: T, y: T, xOrig: Tensor, origAxes: number[], permutedAxes: number[]) {\n  if (y.rank < xOrig.rank) {\n    y = y.reshape(axis_util.expandShapeToKeepDim(y.shape, origAxes)) as T;\n  }\n  if (dy.rank < xOrig.rank) {\n    dy = dy.reshape(axis_util.expandShapeToKeepDim(dy.shape, origAxes)) as T;\n  }\n  return {\n    x: () => {\n      const dx = dy.mul(xOrig.equal(y).cast(dy.dtype));\n      return permutedAxes == null ? dx : dx.transpose(permutedAxes);\n    }\n  };\n}\n\n/**\n * Computes the minimum value from the input.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the array is reduced by 1 for each entry in `axes`.\n * If `keepDims` is true, the reduced dimensions are retained with length 1.\n * If `axes` has no entries, all dimensions are reduced, and an array with a\n * single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.min().print();  // or tf.min(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.min(axis).print();  // or tf.min(x, axis)\n * ```\n *\n * @param x The input Tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction min_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'min');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.min($x, axes);\n    save([xOrig, y]);\n    return y as T;\n  }, {x: $x}, grad, 'Min', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res;\n}\n\n/**\n * Computes the maximum of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.max().print();  // or tf.max(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n *\n * const axis = 1;\n * x.max(axis).print();  // or tf.max(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction max_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'max');\n  const xOrig = $x;\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n\n  const grad = (dy: T, saved: Tensor[]) =>\n      gradForMinAndMax(dy, saved[1], saved[0], origAxes, permutedAxes);\n\n  const inputsToSave = [$x];\n  const outputsToSave: boolean[] = [true];\n  let res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.max($x, axes);\n    save([xOrig, y]);\n    return y;\n  }, {x: $x}, grad, 'Max', {axes}, inputsToSave, outputsToSave);\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    res = res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Returns the indices of the minimum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMin().print();  // or tf.argMin(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMin(axis).print();  // or tf.argMin(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n *\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMin_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMin');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {$x: () => zerosLike($x)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMin($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {$x}, grad) as T;\n}\n\n/**\n * Returns the indices of the maximum values along an `axis`.\n *\n * The result has the same shape as `input` with the dimension along `axis`\n * removed.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3]);\n *\n * x.argMax().print();  // or tf.argMax(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 2, 4, 3], [2, 2]);\n *\n * const axis = 1;\n * x.argMax(axis).print();  // or tf.argMax(x, axis)\n * ```\n *\n * @param x The input tensor.\n * @param axis The dimension to reduce. Defaults to 0 (outer-most dimension).\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction argMax_<T extends Tensor>(x: Tensor|TensorLike, axis = 0): T {\n  let $x = convertToTensor(x, 'x', 'argMax');\n\n  if (axis == null) {\n    axis = 0;\n  }\n  let axes = util.parseAxisParam(axis, $x.shape);\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => zerosLike($x)};\n  };\n  const attrs = {axis: axes[0]};\n  const inputsToSave = [$x];\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.argMax($x, axes[0]);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'ArgMax', attrs, inputsToSave) as T;\n}\n\n/**\n * Computes the logical and of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.all().print();  // or tf.all(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.all(axis).print();  // or tf.all(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction all_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'all', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.all($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Computes the logical or of elements across dimensions of a `tf.Tensor`.\n *\n * Reduces the input along the dimensions given in `axes`. Unless `keepDims`\n * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in\n * `axes`. If `keepDims` is true, the reduced dimensions are retained with\n * length 1. If `axes` has no entries, all dimensions are reduced, and an\n * `tf.Tensor` with a single element is returned.\n *\n * ```js\n * const x = tf.tensor1d([1, 1, 1], 'bool');\n *\n * x.any().print();  // or tf.any(x)\n * ```\n *\n * ```js\n * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool');\n *\n * const axis = 1;\n * x.any(axis).print();  // or tf.any(x, axis)\n * ```\n *\n * @param x The input tensor. Must be of dtype bool.\n * @param axis The dimension(s) to reduce. By default it reduces\n *     all dimensions.\n * @param keepDims If true, retains reduced dimensions with size 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Reduction'} */\nfunction any_<T extends Tensor>(\n    x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T {\n  let $x = convertToTensor(x, 'x', 'any', 'bool');\n\n  const origAxes = util.parseAxisParam(axis, $x.shape);\n  let axes = origAxes;\n  const permutedAxes = axis_util.getAxesPermutation(axes, $x.rank);\n  if (permutedAxes != null) {\n    $x = $x.transpose(permutedAxes);\n    axes = axis_util.getInnerMostAxes(axes.length, $x.rank);\n  }\n  const res = ENGINE.runKernelFunc(backend => backend.any($x, axes), {$x});\n  if (keepDims) {\n    const newShape = axis_util.expandShapeToKeepDim(res.shape, origAxes);\n    return res.reshape(newShape) as T;\n  }\n  return res as T;\n}\n\n/**\n * Calculates the mean and variance of `x`. The mean and variance are\n * calculated by aggregating the contents of `x` across `axes`. If `x` is\n * 1-D and `axes = [0]` this is just the mean and variance of a vector.\n *\n * @param x The input tensor.\n * @param axis The dimension(s) along with to compute mean and\n *     variance. By default it reduces all dimensions.\n * @param keepDims If true, the moments have the same dimensionality as the\n *     input.\n * @return An object with two keys: `mean` and `variance`.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction moments_(\n    x: Tensor|TensorLike, axis: number|number[] = null,\n    keepDims = false): {mean: Tensor, variance: Tensor} {\n  x = convertToTensor(x, 'x', 'moments');\n  const axes = util.parseAxisParam(axis, x.shape);\n  const mean = x.mean(axes, keepDims);\n  let keepDimsShape = mean.shape;\n  if (!keepDims) {\n    keepDimsShape = axis_util.expandShapeToKeepDim(mean.shape, axes);\n  }\n  const devSquared = x.toFloat().sub(mean.reshape(keepDimsShape)).square();\n  const variance = devSquared.mean(axes, keepDims);\n  return {mean, variance};\n}\n\nexport const all = op({all_});\n// tslint:disable-next-line:variable-name\nexport const any = op({any_});\nexport const argMax = op({argMax_});\nexport const argMin = op({argMin_});\nexport const logSumExp = op({logSumExp_});\nexport const max = op({max_});\nexport const mean = op({mean_});\nexport const min = op({min_});\nexport const moments = op({moments_});\nexport const sum = op({sum_});\nexport const prod = op({prod_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {maximum} from './binary_ops';\nimport {getReductionAxes} from './broadcast_util';\nimport {where} from './logical_ops';\nimport {op} from './operation';\nimport {SELU_SCALE, SELU_SCALEALPHA} from './selu_util';\nimport {scalar, zerosLike} from './tensor_ops';\n\n/**\n * Computes rectified linear element-wise: `max(x, 0)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.relu().print();  // or tf.relu(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {x: () => dy.mulStrict($x.step().toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu');\n}\n\n/**\n * Computes rectified linear 6 element-wise: `min(max(x, 0), 6)`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 8]);\n *\n * x.relu6().print();  // or tf.relu6(x)\n * ```\n * @param x The input tensor. If the dtype is `bool`, the output dtype will be\n *     `int32'.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction relu6_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'relu6');\n\n  if ($x.dtype === 'bool') {\n    return $x.toInt();\n  }\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    const mask = $x.lessEqual(6).mul($x.step());\n    return {x: () => dy.mulStrict(mask.toFloat() as T)};\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.relu6($x);\n    save([$x]);\n    return res;\n  }, {x: $x}, grad, 'Relu6');\n}\n\n/**\n * Computes exponential linear element-wise: `x > 0 ? e ^ x - 1 : 0`.\n *\n * ```js\n * const x = tf.tensor1d([-1, 1, -3, 2]);\n *\n * x.elu().print();  // or tf.elu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction elu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'elu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [y] = saved;\n    return {\n      $x: () =>\n          ENGINE.runKernelFunc(backend => backend.eluDer(dy, y), {dy, y}) as T\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.elu($x);\n    save([y]);\n    return y;\n  }, {$x}, grad);\n}\n\n/**\n * Computes scaled exponential linear element-wise.\n *\n * `x < 0 ? scale * alpha * (exp(x) - 1) : x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.selu().print();  // or tf.selu(x)\n * ```\n * @param x The input tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction selu_<T extends Tensor>(x: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'selu');\n\n  const grad = (dy: T, saved: Tensor[]) => {\n    const [$x] = saved;\n    return {\n      $x: () => {\n        const mask = $x.greater(scalar(0));\n\n        const scaleAlpha = scalar(SELU_SCALEALPHA);\n        const scale = scalar(SELU_SCALE);\n\n        const greaterThanZeroDer = dy.mul(scale);\n        const lessEqualZeroDer = dy.mul(scaleAlpha).mul($x.toFloat().exp());\n\n        return where(mask, greaterThanZeroDer, lessEqualZeroDer) as T;\n      }\n    };\n  };\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.selu($x);\n    save([$x]);\n    return res;\n  }, {$x}, grad);\n}\n\n/**\n * Computes leaky rectified linear element-wise.\n *\n * See\n * [http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf](\n *     http://web.stanford.edu/~awni/papers/relu_hybrid_icml2013_final.pdf)\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n *\n * x.leakyRelu(0.1).print();  // or tf.leakyRelu(x, 0.1)\n * ```\n * @param x The input tensor.\n * @param alpha The scaling factor for negative values, defaults to 0.2.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction leakyRelu_<T extends Tensor>(x: T|TensorLike, alpha = 0.2): T {\n  const $x = convertToTensor(x, 'x', 'leakyRelu');\n  return maximum(scalar(alpha).mul($x), $x);\n}\n\n/**\n * Computes leaky rectified linear element-wise with parametric alphas.\n *\n * `x < 0 ? alpha * x : f(x) = x`\n *\n * ```js\n * const x = tf.tensor1d([-1, 2, -3, 4]);\n * const alpha = tf.scalar(0.1);\n *\n * x.prelu(alpha).print();  // or tf.prelu(x, alpha)\n * ```\n * @param x The input tensor.\n * @param alpha Scaling factor for negative values.\n */\n/** @doc {heading: 'Operations', subheading: 'Basic math'} */\nfunction prelu_<T extends Tensor>(x: T|TensorLike, alpha: T|TensorLike): T {\n  const $x = convertToTensor(x, 'x', 'prelu');\n  const $alpha = convertToTensor(alpha, 'alpha', 'prelu');\n\n  const grad = (dy: Tensor, saved: Tensor[]) => {\n    const [$x, $alpha] = saved;\n    const mask = $x.greater(0);\n\n    return {\n      x: () => where(mask, dy, dy.mul($alpha)) as T,\n      alpha: () => {\n        let res = where(mask, zerosLike(dy), dy.mul($x));\n        const reduceAxes = getReductionAxes($alpha.shape, dy.shape);\n        if (reduceAxes.length > 0) {\n          res = res.sum(reduceAxes);\n        }\n        return res.reshape($alpha.shape) as T;\n      }\n    };\n  };\n\n  return ENGINE.runKernelFunc((backend, save) => {\n    const res = backend.prelu($x, $alpha);\n    save([$x, $alpha]);\n    return res;\n  }, {x: $x, alpha: $alpha}, grad, 'Prelu') as T;\n}\n\nexport const elu = op({elu_});\nexport const leakyRelu = op({leakyRelu_});\nexport const prelu = op({prelu_});\nexport const relu = op({relu_});\nexport const relu6 = op({relu6_});\nexport const selu = op({selu_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {op} from './operation';\n\n/**\n * Normalizes the activation of a local neighborhood across or within\n * channels.\n *\n * @param x The input tensor. The 4-D input tensor is treated as a 3-D array\n *     of 1D vectors (along the last dimension), and each vector is\n *     normalized independently.\n * @param depthRadius The number of adjacent channels in the 1D normalization\n *     window.\n * @param bias A constant bias term for the basis.\n * @param alpha A scale factor, usually positive.\n * @param beta An exponent.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction localResponseNormalization_<T extends Tensor3D|Tensor4D>(\n    x: T|TensorLike, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5): T {\n  const $x = convertToTensor(x, 'x', 'localResponseNormalization');\n  util.assert(\n      $x.rank === 4 || $x.rank === 3,\n      () => `Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank ${$x.rank}.`);\n  util.assert(\n      util.isInt(depthRadius),\n      () => `Error in localResponseNormalization: depthRadius must be an ` +\n          `integer but got depthRadius ${depthRadius}.`);\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    const [x4D, y] = saved;\n    return {\n      x4D: () => ENGINE.runKernelFunc(\n          backend => backend.LRNGrad(\n              dy, x4D as Tensor4D, y as Tensor4D, depthRadius, bias, alpha,\n              beta),\n          {})\n    };\n  };\n  const res = ENGINE.runKernelFunc((backend, save) => {\n    const y = backend.localResponseNormalization4D(\n        x4D, depthRadius, bias, alpha, beta);\n    save([x4D, y]);\n    return y;\n  }, {x4D}, backward);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  } else {\n    return res as T;\n  }\n}\n\nexport const localResponseNormalization = op({localResponseNormalization_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {parseAxisParam} from '../util';\n\nimport * as axis_util from './axis_util';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Computes the norm of scalar, vectors, and matrices.\n * This function can compute several different vector norms (the 1-norm, the\n * Euclidean or 2-norm, the inf-norm, and in general the p-norm for p > 0)\n * and matrix norms (Frobenius, 1-norm, and inf-norm).\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * x.norm().print();  // or tf.norm(x)\n * ```\n *\n * @param x The input array.\n * @param ord Optional. Order of the norm. Supported norm types are\n * following:\n *\n *  | ord        | norm for matrices         | norm for vectors\n *  |------------|---------------------------|---------------------\n *  |'euclidean' |Frobenius norm             |2-norm\n *  |'fro'       |Frobenius norm\t           |\n *  |Infinity    |max(sum(abs(x), axis=1))   |max(abs(x))\n *  |-Infinity   |min(sum(abs(x), axis=1))   |min(abs(x))\n *  |1           |max(sum(abs(x), axis=0))   |sum(abs(x))\n *  |2           |                           |sum(abs(x)^2)^1/2*\n *\n * @param axis Optional. If axis is null (the default), the input is\n * considered a vector and a single vector norm is computed over the entire\n * set of values in the Tensor, i.e. norm(x, ord) is equivalent\n * to norm(x.reshape([-1]), ord). If axis is a integer, the input\n * is considered a batch of vectors, and axis determines the axis in x\n * over which to compute vector norms. If axis is a 2-tuple of integer it is\n * considered a batch of matrices and axis determines the axes in NDArray\n * over which to compute a matrix norm.\n * @param keepDims Optional. If true, the norm have the same dimensionality\n * as the input.\n */\n/** @doc {heading: 'Operations', subheading: 'Matrices'} */\nfunction norm_(\n    x: Tensor|TensorLike, ord: number|'euclidean'|'fro' = 'euclidean',\n    axis: number|number[] = null, keepDims = false): Tensor {\n  x = convertToTensor(x, 'x', 'norm');\n\n  const norm = normImpl(x, ord, axis);\n  let keepDimsShape = norm.shape;\n  if (keepDims) {\n    const axes = parseAxisParam(axis, x.shape);\n    keepDimsShape = axis_util.expandShapeToKeepDim(norm.shape, axes);\n  }\n  return norm.reshape(keepDimsShape);\n}\n\nfunction normImpl(\n    x: Tensor, p: number|string, axis: number|number[] = null): Tensor {\n  if (x.rank === 0) {\n    return x.abs();\n  }\n\n  // consider vector when no axis is specified\n  if (x.rank !== 1 && axis === null) {\n    return normImpl(x.reshape([-1]), p, axis);\n  }\n\n  // vector\n  if (x.rank === 1 || typeof axis === 'number' ||\n      Array.isArray(axis) && axis.length === 1) {\n    if (p === 1) {\n      return x.abs().sum(axis);\n    }\n    if (p === Infinity) {\n      return x.abs().max(axis);\n    }\n    if (p === -Infinity) {\n      return x.abs().min(axis);\n    }\n    if (p === 'euclidean' || p === 2) {\n      // norm(x, 2) = sum(abs(xi) ^ 2) ^ 1/2\n      return x.abs().pow(scalar(2, 'int32')).sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  // matrix (assumption axis[0] < axis[1])\n  if (Array.isArray(axis) && axis.length === 2) {\n    if (p === 1) {\n      return x.abs().sum(axis[0]).max(axis[1] - 1);\n    }\n    if (p === Infinity) {\n      return x.abs().sum(axis[1]).max(axis[0]);\n    }\n    if (p === -Infinity) {\n      return x.abs().sum(axis[1]).min(axis[0]);\n    }\n    if (p === 'fro' || p === 'euclidean') {\n      // norm(x) = sqrt(sum(pow(x, 2)))\n      return x.square().sum(axis).sqrt();\n    }\n\n    throw new Error(`Error in norm: invalid ord value: ${p}`);\n  }\n\n  throw new Error(`Error in norm: invalid axis: ${axis}`);\n}\n\nexport const norm = op({norm_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor, convertToTensorArray} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * @docalias (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D]\n */\nexport type LSTMCellFunc = {\n  (data: Tensor2D, c: Tensor2D, h: Tensor2D): [Tensor2D, Tensor2D];\n};\n\n/**\n * Computes the next states and outputs of a stack of LSTMCells.\n *\n * Each cell output is used as input to the next cell.\n *\n * Returns `[cellState, cellOutput]`.\n *\n * Derived from tf.contrib.rn.MultiRNNCell.\n *\n * @param lstmCells Array of LSTMCell functions.\n * @param data The input to the cell.\n * @param c Array of previous cell states.\n * @param h Array of previous cell outputs.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction multiRNNCell_(\n    lstmCells: LSTMCellFunc[], data: Tensor2D|TensorLike,\n    c: Array<Tensor2D|TensorLike>,\n    h: Array<Tensor2D|TensorLike>): [Tensor2D[], Tensor2D[]] {\n  const $data = convertToTensor(data, 'data', 'multiRNNCell');\n  const $c = convertToTensorArray(c, 'c', 'multiRNNCell');\n  const $h = convertToTensorArray(h, 'h', 'multiRNNCell');\n\n  let input = $data;\n  const newStates = [];\n  for (let i = 0; i < lstmCells.length; i++) {\n    const output = lstmCells[i](input, $c[i], $h[i]);\n    newStates.push(output[0]);\n    newStates.push(output[1]);\n    input = output[1];\n  }\n  const newC: Tensor2D[] = [];\n  const newH: Tensor2D[] = [];\n  for (let i = 0; i < newStates.length; i += 2) {\n    newC.push(newStates[i]);\n    newH.push(newStates[i + 1]);\n  }\n  return [newC, newH];\n}\n\n/**\n * Computes the next state and output of a BasicLSTMCell.\n *\n * Returns `[newC, newH]`.\n *\n * Derived from tf.contrib.rnn.BasicLSTMCell.\n *\n * @param forgetBias Forget bias for the cell.\n * @param lstmKernel The weights for the cell.\n * @param lstmBias The bias for the cell.\n * @param data The input to the cell.\n * @param c Previous cell state.\n * @param h Previous cell output.\n */\n/** @doc {heading: 'Operations', subheading: 'RNN'} */\nfunction basicLSTMCell_(\n    forgetBias: Scalar|TensorLike, lstmKernel: Tensor2D|TensorLike,\n    lstmBias: Tensor1D|TensorLike, data: Tensor2D|TensorLike,\n    c: Tensor2D|TensorLike, h: Tensor2D|TensorLike): [Tensor2D, Tensor2D] {\n  const $forgetBias =\n      convertToTensor(forgetBias, 'forgetBias', 'basicLSTMCell');\n  const $lstmKernel =\n      convertToTensor(lstmKernel, 'lstmKernel', 'basicLSTMCell');\n  const $lstmBias = convertToTensor(lstmBias, 'lstmBias', 'basicLSTMCell');\n  const $data = convertToTensor(data, 'data', 'basicLSTMCell');\n  const $c = convertToTensor(c, 'c', 'basicLSTMCell');\n  const $h = convertToTensor(h, 'h', 'basicLSTMCell');\n\n  const combined = $data.concat($h, 1);\n  const weighted = combined.matMul($lstmKernel);\n  const res: Tensor2D = weighted.add($lstmBias);\n\n  // i = input_gate, j = new_input, f = forget_gate, o = output_gate\n  const batchSize = res.shape[0];\n  const sliceCols = res.shape[1] / 4;\n  const sliceSize: [number, number] = [batchSize, sliceCols];\n  const i = res.slice([0, 0], sliceSize);\n  const j = res.slice([0, sliceCols], sliceSize);\n  const f = res.slice([0, sliceCols * 2], sliceSize);\n  const o = res.slice([0, sliceCols * 3], sliceSize);\n\n  const newC = i.sigmoid().mulStrict(j.tanh()).addStrict(\n      $c.mulStrict($forgetBias.add(f).sigmoid() as Tensor2D));\n  const newH = newC.tanh().mulStrict(o.sigmoid());\n  return [newC, newH];\n}\n\nexport const basicLSTMCell = op({basicLSTMCell_});\nexport const multiRNNCell = op({multiRNNCell_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Scalar, Tensor} from '../tensor';\nimport {assertTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\nimport {pow} from './binary_ops';\nimport {op} from './operation';\nimport {scalar} from './tensor_ops';\n\n/**\n * Compute the moving average of a variable.\n *\n * Without zeroDebias, the moving average operation is defined by:\n *   `v += delta`\n * where\n *   `delta = (1 - decay) * (x - v)`\n *\n * With zeroDebias (default), the `delta` term is scaled to debias the\n * effect of the (assumed) zero-initialization of `v`.\n *   `delta /= (1 - decay ^ step)`\n *\n * For more details on the zero-debiasing algorithm, see:\n *   https://arxiv.org/abs/1412.6980\n *\n * Note that this function is completely stateless and does not keep track of\n * step count. The step count needs to be maintained by the caller and passed\n * in as `step`.\n *\n * @param v The current moving average value.\n * @param x New input value, must have the same shape and dtype as `v`.\n * @param decay The decay factor. Typical values are 0.95 and 0.99.\n * @param step Step count.\n * @param zeroDebias: Whether zeroDebias is to be performed (default: `true`).\n * @returns The new moving average value.\n */\n/** @doc {heading: 'Operations', subheading: 'Moving Average'} */\nfunction movingAverage_<T extends Tensor>(\n    v: T|TensorLike, x: T|TensorLike, decay: number|Scalar,\n    step?: number|Scalar, zeroDebias = true): T {\n  const $v = convertToTensor(v, 'v', 'movingAverage');\n  const $x = convertToTensor(x, 'x', 'movingAverage');\n  const $decay = convertToTensor(decay, 'decay', 'movingAverage');\n\n  assertTypesMatch($v, $x);\n  util.assert(\n      util.arraysEqual($v.shape, $x.shape), () => 'Shape mismatch in v and x');\n\n  const one = scalar(1);\n  const oneMinusDecay = one.sub($decay);\n\n  let update = $x.sub($v).mul(oneMinusDecay);\n  if (zeroDebias) {\n    util.assert(\n        step != null, () => 'When using zeroDebias: true, step is required.');\n    const $step = convertToTensor(step, 'step', 'movingAverage');\n    update = update.div(one.sub(pow($decay, $step)));\n  }\n  return $v.add(update);\n}\n\nexport const movingAverage = op({movingAverage_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {slice} from './slice';\nimport {computeOutShape, maskToAxes, startForAxis, stopForAxis} from './slice_util';\n\n/**\n * Extracts a strided slice of a tensor.\n *\n * Roughly speaking, this op extracts a slice of size (end-begin)/stride from\n * the given input tensor (x). Starting at the location specified by begin the\n * slice continues by adding stride to the index until all dimensions are not\n * less than end. Note that a stride can be negative, which causes a reverse\n * slice.\n *\n * ```js\n * const t = tf.tensor3d([1, 1, 1 ,2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6],\n *    [3, 2, 3]);\n * t.stridedSlice([1, 0, 0], [2, 1, 3], [1, 1, 1]).print()  // [[[3, 3, 3]]]\n * t.stridedSlice([1, 0, 0], [2, 2, 3], [1, 1, 1]).print()  // [[[3, 3, 3],\n *                                                     // [4, 4, 4]]]\n * t.stridedSlice([1, -1, 0], [2, -3, 3], [1, -1, 1]).print() // [[[4, 4, 4],\n *                                                     // [3, 3, 3]]]\n * ```\n *\n * @param x The tensor to stride slice.\n * @param begin The coordinates to start the slice from.\n * @param end: The coordinates to end the slice at.\n * @param strides: The size of the slice.\n * @param beginMask: If the ith bit of beginMask is set, begin[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param endMask: If the ith bit of endMask is set, end[i] is ignored\n *      and the fullest possible range in that dimension is used instead.\n * @param shrinkAxisMask: a bitmask where bit i implies that\n * the ith specification should shrink the dimensionality. begin and end must\n * imply a slice of size 1 in the dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction stridedSlice_(\n    x: Tensor|TensorLike, begin: number[], end: number[], strides?: number[],\n    beginMask = 0, endMask = 0, ellipsisMask = 0, newAxisMask = 0,\n    shrinkAxisMask = 0): Tensor {\n  if (strides == null) {\n    strides = new Array(begin.length);\n  }\n  if (ellipsisMask !== 0) {\n    throw new Error('ellipsis mask is not yet supported');\n  }\n  let $x = convertToTensor(x, 'x', 'stridedSlice');\n\n  // Expand the dims of x based on the newAxisMask.\n  const expandAxes = maskToAxes(newAxisMask);\n  const newShape = $x.shape.slice();\n  expandAxes.forEach(axis => {\n    begin[axis] = 0;\n    end[axis] = 1;\n    newShape.splice(axis, 0, 1);\n  });\n  $x = $x.reshape(newShape);\n\n  // Normalize the start, end and strides.\n  for (let axis = 0; axis < $x.rank; axis++) {\n    begin[axis] = startForAxis(beginMask, begin, strides, $x.shape, axis);\n    end[axis] = stopForAxis(endMask, end, strides, $x.shape, axis);\n    strides[axis] = strides[axis] || 1;\n  }\n\n  const shrinkAxes = maskToAxes(shrinkAxisMask);\n  // Adjust the ends based on the shrink mask.\n  shrinkAxes.forEach(axis => {\n    end[axis] = begin[axis] + 1;\n    strides[axis] = 1;\n  });\n\n  // Figure out the output shape.\n  const size = computeOutShape(begin, end, strides);\n  // Remove the axes based on shrinkMask.\n  const outShape = size.filter((_, axis) => shrinkAxes.indexOf(axis) === -1);\n\n  const nonStrided = strides.every(v => v === 1);\n  if (nonStrided) {\n    return slice($x, begin, size).reshape(outShape);\n  }\n  const res = ENGINE.runKernelFunc(\n      backend => backend.stridedSlice($x, begin, end, strides), {$x});\n  return res.reshape(outShape);\n}\n\nexport const stridedSlice = op({stridedSlice_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {NumericTensor, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Finds the values and indices of the `k` largest entries along the last\n * dimension.\n *\n * If the input is a vector (rank=1), finds the k largest entries in the vector\n * and outputs their values and indices as vectors. Thus values[j] is the j-th\n * largest entry in input, and its index is indices[j].\n * For higher rank inputs, computes the top k entries along the last dimension.\n *\n * If two elements are equal, the lower-index element appears first.\n *\n * ```js\n * const a = tf.tensor2d([[1, 5], [4, 3]]);\n * const {values, indices} = tf.topk(a);\n * values.print();\n * indices.print();\n * ```\n * @param x 1-D or higher `tf.Tensor` with last dimension being at least `k`.\n * @param k Number of top elements to look for along the last dimension.\n * @param sorted If true, the resulting `k` elements will be sorted by the\n *     values in descending order.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nfunction topk_<T extends Tensor>(\n    x: T|TensorLike, k = 1, sorted = true): {values: T, indices: T} {\n  const $x = convertToTensor(x, 'x', 'topk');\n  if ($x.rank === 0) {\n    throw new Error('topk() expects the input to be of rank 1 or higher');\n  }\n  const lastDim = $x.shape[$x.shape.length - 1];\n  if (k > lastDim) {\n    throw new Error(\n        `'k' passed to topk() must be <= the last dimension (${lastDim}) ` +\n        `but got ${k}`);\n  }\n\n  const [values, indices] =\n      ENGINE.runKernelFunc(b => b.topk($x as NumericTensor, k, sorted), {$x});\n  return {values, indices} as {values: T, indices: T};\n}\n\nexport const topk = op({topk_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\nimport * as scatter_nd_util from './scatter_nd_util';\n\n/**\n * Creates a new tensor by applying sparse updates to individual\n * values or slices within a zero tensor of the given shape tensor according to\n * indices. This operator is the inverse of the `tf.gatherND` operator which\n * extracts values or slices from a given tensor.\n *\n * ```js\n * const indices = tf.tensor2d([4, 3, 1, 7], [4, 1], 'int32');\n * const updates = tf.tensor1d([9, 10, 11, 12]);\n * const shape = [8];\n * tf.scatterND(indices, updates, shape).print() //[0, 11, 0, 10, 9, 0, 0, 12]\n * ```\n *\n * @param indices The tensor contains the indices into the output tensor.\n * @param updates The tensor contains the value for the indices.\n * @param shape: The shape of the output tensor.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction scatterND_<R extends Rank>(\n    indices: Tensor|TensorLike, updates: Tensor|TensorLike,\n    shape: ShapeMap[R]): Tensor<R> {\n  const $indices = convertToTensor(indices, 'indices', 'scatterND', 'int32');\n  const $updates = convertToTensor(updates, 'updates', 'scatterND');\n  scatter_nd_util.validateInput($updates, $indices, shape);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.scatterND($indices, $updates, shape),\n      {indices: $indices, updates: $updates}, null /* backward */, 'ScatterNd',\n      {shape});\n}\n\nexport const scatterND = op({scatterND_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {complex, imag, real} from '../ops/complex_ops';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor2D} from '../tensor';\nimport {assert} from '../util';\nimport {scalar, zeros} from './tensor_ops';\n\n/**\n * Fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the inner-most\n * dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.fft().print();  // tf.spectral.fft(x).print();\n * ```\n * @param input The complex input to compute an fft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction fft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.fft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.fft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Inverse fast Fourier transform.\n *\n * Computes the inverse 1-dimensional discrete Fourier transform over the\n * inner-most dimension of input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([1, 2, 3]);\n * const x = tf.complex(real, imag);\n *\n * x.ifft().print();  // tf.spectral.ifft(x).print();\n * ```\n * @param input The complex input to compute an ifft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction ifft_(input: Tensor): Tensor {\n  assert(\n      input.dtype === 'complex64',\n      () => `The dtype for tf.spectral.ifft() must be complex64 ` +\n          `but got ${input.dtype}.`);\n\n  // Collapse all outer dimensions to a single batch dimension.\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n  const input2D = input.as2D(batch, innerDimensionSize);\n\n  const ret = ENGINE.runKernelFunc(backend => backend.ifft(input2D), {input});\n\n  return ret.reshape(input.shape);\n}\n\n/**\n * Real value input fast Fourier transform.\n *\n * Computes the 1-dimensional discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n *\n * real.rfft().print();\n * ```\n * @param input The real value input to compute an rfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction rfft_(input: Tensor, fftLength?: number): Tensor {\n  assert(\n      input.dtype === 'float32',\n      () => `The dtype for rfft() must be real value but got ${input.dtype}`);\n\n  let innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  let adjustedInput: Tensor;\n  if (fftLength != null && fftLength < innerDimensionSize) {\n    // Need to crop\n    const begin = input.shape.map(v => 0);\n    const size = input.shape.map(v => v);\n    size[input.shape.length - 1] = fftLength;\n    adjustedInput = input.slice(begin, size);\n    innerDimensionSize = fftLength;\n  } else if (fftLength != null && fftLength > innerDimensionSize) {\n    // Need to pad with zeros\n    const zerosShape = input.shape.map(v => v);\n    zerosShape[input.shape.length - 1] = fftLength - innerDimensionSize;\n    adjustedInput = input.concat(zeros(zerosShape), input.shape.length - 1);\n    innerDimensionSize = fftLength;\n  } else {\n    adjustedInput = input;\n  }\n\n  // Complement the input with zero imaginary numbers.\n  const zerosInput = adjustedInput.zerosLike();\n  const complexInput =\n      complex(adjustedInput, zerosInput).as2D(batch, innerDimensionSize);\n\n  const ret = fft(complexInput);\n\n  // Exclude complex conjugations. These conjugations are put symmetrically.\n  const half = Math.floor(innerDimensionSize / 2) + 1;\n  const realValues = real(ret);\n  const imagValues = imag(ret);\n  const realComplexConjugate = realValues.split(\n      [half, innerDimensionSize - half], realValues.shape.length - 1);\n  const imagComplexConjugate = imagValues.split(\n      [half, innerDimensionSize - half], imagValues.shape.length - 1);\n\n  const outputShape = adjustedInput.shape.slice();\n  outputShape[adjustedInput.shape.length - 1] = half;\n\n  return complex(realComplexConjugate[0], imagComplexConjugate[0])\n      .reshape(outputShape);\n}\n\n/**\n * Inversed real value input fast Fourier transform.\n *\n * Computes the 1-dimensional inversed discrete Fourier transform over the\n * inner-most dimension of the real input.\n *\n * ```js\n * const real = tf.tensor1d([1, 2, 3]);\n * const imag = tf.tensor1d([0, 0, 0]);\n * const x = tf.complex(real, imag);\n *\n * x.irfft().print();\n * ```\n * @param input The real value input to compute an irfft over.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}\n */\nfunction irfft_(input: Tensor): Tensor {\n  const innerDimensionSize = input.shape[input.shape.length - 1];\n  const batch = input.size / innerDimensionSize;\n\n  if (innerDimensionSize <= 2) {\n    const complexInput = input.as2D(batch, innerDimensionSize);\n    const ret = ifft(complexInput);\n    return real(ret);\n  } else {\n    // The length of unique components of the DFT of a real-valued signal\n    // is 2 * (input_len - 1)\n    const outputShape = [batch, 2 * (innerDimensionSize - 1)];\n    const realInput = real(input).as2D(batch, innerDimensionSize);\n    const imagInput = imag(input).as2D(batch, innerDimensionSize);\n\n    const realConjugate =\n        realInput.slice([0, 1], [batch, innerDimensionSize - 2]).reverse(1);\n    const imagConjugate: Tensor2D =\n        imagInput.slice([0, 1], [batch, innerDimensionSize - 2])\n            .reverse(1)\n            .mul(scalar(-1));\n\n    const r = realInput.concat(realConjugate, 1);\n    const i = imagInput.concat(imagConjugate, 1);\n    const complexInput = complex(r, i).as2D(outputShape[0], outputShape[1]);\n    const ret = ifft(complexInput);\n    return real(ret);\n  }\n}\n\nexport const fft = op({fft_});\nexport const ifft = op({ifft_});\nexport const rfft = op({rfft_});\nexport const irfft = op({irfft_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport * as sparse_to_dense from '../ops/sparse_to_dense_util';\nimport {Scalar, Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {Rank, ScalarLike, ShapeMap, TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Converts a sparse representation into a dense tensor.\n *\n * Builds an array dense with shape outputShape such that:\n *\n * // If sparseIndices is scalar\n * dense[i] = (i == sparseIndices ? sparseValues : defaultValue)\n *\n * // If sparseIndices is a vector, then for each i\n * dense[sparseIndices[i]] = sparseValues[i]\n *\n * // If sparseIndices is an n by d matrix, then for each i in [0, n)\n * dense[sparseIndices[i][0], ..., sparseIndices[i][d-1]] = sparseValues[i]\n * All other values in dense are set to defaultValue. If sparseValues is a\n * scalar, all sparse indices are set to this single value.\n *\n * If indices are repeated the final value is summed over all values for those\n * indices.\n *\n * ```js\n * const indices = tf.tensor1d([4, 5, 6, 1, 2, 3], 'int32');\n * const values = tf.tensor1d([10, 11, 12, 13, 14, 15], 'float32');\n * const shape = [8];\n * tf.sparseToDense(indices, values, shape).print();\n * ```\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape Shape of the dense output tensor. the type is inferred.\n * @param defaultValue Scalar. Value to set for indices not specified in\n * sparseIndices. Defaults to zero.\n */\n/** @doc {heading: 'Operations', subheading: 'Normalization'} */\nfunction sparseToDense_<R extends Rank>(\n    sparseIndices: Tensor|TensorLike, sparseValues: Tensor|TensorLike,\n    outputShape: ShapeMap[R], defaultValue: Scalar|ScalarLike = 0): Tensor<R> {\n  const $sparseIndices =\n      convertToTensor(sparseIndices, 'sparseIndices', 'sparseToDense', 'int32');\n  const $sparseValues =\n      convertToTensor(sparseValues, 'sparseValues', 'sparseToDense');\n  const $defaultValue = convertToTensor(\n      defaultValue, 'defaultValue', 'sparseToDense', $sparseValues.dtype);\n\n  sparse_to_dense.validateInput(\n      $sparseIndices, $sparseValues, outputShape, $defaultValue);\n\n  return ENGINE.runKernelFunc(\n      backend => backend.sparseToDense(\n          $sparseIndices, $sparseValues, outputShape, $defaultValue),\n      {$sparseIndices, $sparseValues, $defaultValue});\n}\n\nexport const sparseToDense = op({sparseToDense_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Tensor} from '../tensor';\n\n/**\n * Validate sparseToDense inputs.\n *\n * @param sparseIndices A 0-D, 1-D, or 2-D Tensor of type int32.\n * sparseIndices[i] contains the complete index where sparseValues[i] will be\n * placed.\n * @param sparseValues A 0-D or 1-D Tensor. Values\n * corresponding to each row of sparseIndices, or a scalar value to be used for\n * all sparse indices.\n * @param outputShape number[]. Shape of the dense output tensor.\n * @param validateIndices boolean. indice validation is not supported, error\n * will be thrown if it is set.\n */\nexport function validateInput(\n    sparseIndices: Tensor, sparseValues: Tensor, outputShape: number[],\n    defaultValues: Tensor) {\n  if (sparseIndices.dtype !== 'int32') {\n    throw new Error(\n        'tf.sparseToDense() expects the indices to be int32 type,' +\n        ` but the dtype was ${sparseIndices.dtype}.`);\n  }\n  if (sparseIndices.rank > 2) {\n    throw new Error(\n        'sparseIndices should be a scalar, vector, or matrix,' +\n        ` but got shape ${sparseIndices.shape}.`);\n  }\n\n  const numElems = sparseIndices.rank > 0 ? sparseIndices.shape[0] : 1;\n  const numDims = sparseIndices.rank > 1 ? sparseIndices.shape[1] : 1;\n\n  if (outputShape.length !== numDims) {\n    throw new Error(\n        'outputShape has incorrect number of elements:,' +\n        ` ${outputShape.length}, should be: ${numDims}.`);\n  }\n\n  const numValues = sparseValues.size;\n  if (!(sparseValues.rank === 0 ||\n        sparseValues.rank === 1 && numValues === numElems)) {\n    throw new Error(\n        'sparseValues has incorrect shape ' +\n        `${sparseValues.shape}, should be [] or [${numElems}]`);\n  }\n\n  if (sparseValues.dtype !== defaultValues.dtype) {\n    throw new Error('sparseValues.dtype must match defaultValues.dtype');\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {op} from './operation';\n\n/**\n * Gather slices from input tensor into a Tensor with shape specified by\n * `indices`.\n *\n * `indices` is an K-dimensional integer tensor, best thought of as a\n * (K-1)-dimensional tensor of indices into input, where each element defines a\n * slice of input:\n * output[\\\\(i_0, ..., i_{K-2}\\\\)] = input[indices[\\\\(i_0, ..., i_{K-2}\\\\)]]\n *\n * Whereas in `tf.gather`, `indices` defines slices into the first dimension of\n * input, in `tf.gatherND`, `indices` defines slices into the first N dimensions\n * of input, where N = indices.shape[-1].\n *\n * The last dimension of indices can be at most the rank of input:\n * indices.shape[-1] <= input.rank\n *\n * The last dimension of `indices` corresponds to elements\n * (if indices.shape[-1] == input.rank) or slices\n * (if indices.shape[-1] < input.rank) along dimension indices.shape[-1] of\n * input.\n * The output tensor has shape\n * indices.shape[:-1] + input.shape[indices.shape[-1]:]\n *\n * Note that on CPU, if an out of bound index is found, an error is returned. On\n * GPU, if an out of bound index is found, a 0 is stored in the corresponding\n * output value.\n *\n * ```js\n * const indices = tf.tensor2d([0, 1, 1, 0], [2,2], 'int32');\n * const input = tf.tensor2d([9, 10, 11, 12], [2, 2]);\n * tf.gatherND(input, indices).print() // [10, 11]\n * ```\n *\n * @param x The tensor from which to gather values.\n * @param indices Index tensor, must be of type int32.\n */\n/** @doc {heading: 'Operations', subheading: 'Slicing and Joining'} */\nfunction gatherND_(x: Tensor|TensorLike, indices: Tensor|TensorLike): Tensor {\n  const $indices = convertToTensor(indices, 'indices', 'gatherND', 'int32');\n  const $x = convertToTensor(x, 'x', 'gatherND');\n  return ENGINE.runKernelFunc(\n      backend => backend.gatherND($x, $indices), {x: $x, indices: $indices},\n      null /* backward */, 'GatherNd');\n}\nexport const gatherND = op({gatherND_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {op} from './operation';\n\n/**\n * Returns a diagonal tensor with a given diagonal values.\n *\n * Given a diagonal, this operation returns a tensor with the diagonal and\n * everything else padded with zeros.\n *\n * Assume the input has dimensions `[D1,..., Dk]`, then the output is a tensor\n * of rank 2k with dimensions `[D1,..., Dk, D1,..., Dk]`\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4]);\n *\n * tf.diag(x).print()\n * ```\n * ```js\n * const x = tf.tensor1d([1, 2, 3, 4, 5, 6, 6, 8], [4, 2])\n *\n * tf.diag(x).print()\n * ```\n * @param x The input tensor.\n */\nfunction diag_(x: Tensor): Tensor {\n  const $x = convertToTensor(x, 'x', 'diag').flatten();\n  const outShape = [...x.shape, ...x.shape];\n  return ENGINE.runKernelFunc(backend => backend.diag($x), {$x})\n      .reshape(outShape);\n}\n\nexport const diag = op({diag_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {getNoiseShape} from './dropout_util';\nimport {op} from './operation';\nimport {randomUniform} from './random_uniform';\n\n/**\n * Computes dropout.\n *\n * ```js\n * const x = tf.tensor1d([1, 2, 2, 1]);\n * const rate = 0.75;\n * const output = tf.dropout(x, rate);\n * output.print();\n * ```\n *\n * @param x A floating point Tensor or TensorLike.\n * @param rate A float in the range [0, 1). The probability that each element\n *   of x is discarded.\n * @param noiseShape An array of numbers of type int32, representing the\n * shape for randomly generated keep/drop flags. If the noiseShape has null\n * value, it will be automatically replaced with the x's relative dimension\n * size. Optional.\n * @param seed Used to create random seeds. Optional.\n * @returns A Tensor of the same shape of x.\n */\n/** @doc {heading: 'Operations', subheading: 'Dropout'} */\nfunction dropout_(\n    x: Tensor|TensorLike, rate: number, noiseShape?: number[],\n    seed?: number|string): Tensor {\n  const $x = convertToTensor(x, 'x', 'dropout');\n\n  util.assert(\n      $x.dtype === 'float32',\n      () => `x has to be a floating point tensor since it's going to be ` +\n          `scaled, but got a ${$x.dtype} tensor instead.`);\n  util.assert(\n      rate >= 0 && rate < 1,\n      () => `rate must be a float in the range [0, 1), but got ${rate}.`);\n\n  if (rate === 0) {\n    return x instanceof Tensor ? $x.clone() : $x;\n  }\n\n  const $noiseShape = getNoiseShape($x, noiseShape);\n  const keepProb = 1 - rate;\n  const multiplier = randomUniform($noiseShape, 0, 1, 'float32', seed)\n                         .add(keepProb)\n                         .floor()\n                         .div(keepProb);\n\n  return $x.mul(multiplier);\n}\n\nexport const dropout = op({dropout_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport * as util from '../util';\n\n/**\n * Normalize noise shape based on provided tensor and noise shape.\n *\n * @param x Tensor.\n * @param noiseShape The shape for the randomly generated keep/drop flags, as\n *   an array of numbers. Optional.\n * @returns Normalized noise shape.\n */\nexport function getNoiseShape(x: Tensor, noiseShape?: number[]): number[] {\n  if (noiseShape == null) {\n    return x.shape.slice();\n  }\n  if (util.arraysEqual(x.shape, noiseShape)) {\n    return noiseShape;\n  }\n  if (x.shape.length === noiseShape.length) {\n    const newDimension: number[] = [];\n    for (let i = 0; i < x.shape.length; i++) {\n      if (noiseShape[i] == null && x.shape[i] != null) {\n        newDimension.push(x.shape[i]);\n      } else {\n        newDimension.push(noiseShape[i]);\n      }\n    }\n    return newDimension;\n  }\n\n  return noiseShape;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor1D} from '../tensor';\n\nimport {mul} from './binary_ops';\nimport {concat} from './concat_split';\nimport {slice} from './slice';\nimport {rfft} from './spectral_ops';\nimport {fill, tensor1d, tensor2d} from './tensor_ops';\n\n/**\n * Generate a Hann window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hannWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hannWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.5, 0.5);\n}\n\n/**\n * Generate a hamming window.\n *\n * See: https://en.wikipedia.org/wiki/Window_function#Hann_and_Hamming_windows\n *\n * ```js\n * tf.signal.hammingWindow(10).print();\n * ```\n * @param The length of window\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction hammingWindow_(windowLength: number): Tensor1D {\n  return cosineWindow(windowLength, 0.54, 0.46);\n}\n\n/**\n * Expands input into frames of frameLength.\n * Slides a window size with frameStep.\n *\n * ```js\n * tf.signal.frame([1, 2, 3], 2, 1).print();\n * ```\n * @param signal The input tensor to be expanded\n * @param frameLength Length of each frame\n * @param frameStep The frame hop size in samples.\n * @param padEnd Whether to pad the end of signal with padValue.\n * @param padValue An number to use where the input signal does\n *     not exist when padEnd is True.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction frame_(\n    signal: Tensor1D, frameLength: number, frameStep: number, padEnd = false,\n    padValue = 0): Tensor {\n  let start = 0;\n  const output: Tensor[] = [];\n  while (start + frameLength <= signal.size) {\n    output.push(slice(signal, start, frameLength));\n    start += frameStep;\n  }\n\n  if (padEnd) {\n    while (start < signal.size) {\n      const padLen = (start + frameLength) - signal.size;\n      const pad = concat(\n          [slice(signal, start, frameLength - padLen),\n           fill([padLen], padValue)]);\n      output.push(pad);\n      start += frameStep;\n    }\n  }\n\n  if (output.length === 0) {\n    return tensor2d([], [0, frameLength]);\n  }\n\n  return concat(output).as2D(output.length, frameLength);\n}\n\n/**\n * Computes the Short-time Fourier Transform of signals\n * See: https://en.wikipedia.org/wiki/Short-time_Fourier_transform\n *\n * ```js\n * const input = tf.tensor1d([1, 1, 1, 1, 1])\n * tf.signal.stft(input, 3, 1).print();\n * ```\n * @param signal 1-dimensional real value tensor.\n * @param frameLength The window length of samples.\n * @param frameStep The number of samples to step.\n * @param fftLength The size of the FFT to apply.\n * @param windowFn A callable that takes a window length and returns 1-d tensor.\n */\n/**\n * @doc {heading: 'Operations', subheading: 'Signal', namespace: 'signal'}\n */\nfunction stft_(\n    signal: Tensor1D, frameLength: number, frameStep: number,\n    fftLength?: number,\n    windowFn: (length: number) => Tensor1D = hannWindow): Tensor {\n  if (fftLength == null) {\n    fftLength = enclosingPowerOfTwo(frameLength);\n  }\n  const framedSignal = frame(signal, frameLength, frameStep);\n  const windowedSignal = mul(framedSignal, windowFn(frameLength));\n  const output: Tensor[] = [];\n  for (let i = 0; i < framedSignal.shape[0]; i++) {\n    output.push(rfft(windowedSignal.slice([i, 0], [1, frameLength]),\n      fftLength));\n  }\n  return concat(output);\n}\n\nfunction enclosingPowerOfTwo(value: number) {\n  // Return 2**N for integer N such that 2**N >= value.\n  return Math.floor(Math.pow(2, Math.ceil(Math.log(value) / Math.log(2.0))));\n}\n\nfunction cosineWindow(windowLength: number, a: number, b: number): Tensor1D {\n  const even = 1 - windowLength % 2;\n  const newValues = new Float32Array(windowLength);\n  for (let i = 0; i < windowLength; ++i) {\n    const cosArg = (2.0 * Math.PI * i) / (windowLength + even - 1);\n    newValues[i] = a - b * Math.cos(cosArg);\n  }\n  return tensor1d(newValues, 'float32');\n}\n\nexport const hannWindow = op({hannWindow_});\nexport const hammingWindow = op({hammingWindow_});\nexport const frame = op({frame_});\nexport const stft = op({stft_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert, assertShapesMatch, getTypedArrayFromDType} from '../util';\nimport {tensor} from './tensor_ops';\n\n/**\n * Returns whether the targets are in the top K predictions.\n *\n * ```js\n * const predictions = tf.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);\n * const targets = tf.tensor1d([2, 0]);\n * const precision = await tf.inTopKAsync(predictions, targets);\n * precision.print();\n * ```\n * @param predictions 2-D or higher `tf.Tensor` with last dimension being\n *     at least `k`.\n * @param targets 1-D or higher `tf.Tensor`.\n * @param k Optional Number of top elements to look at for computing precision,\n *     default to 1.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nasync function inTopKAsync_<T extends Tensor, U extends Tensor>(\n    predictions: T|TensorLike, targets: U|TensorLike, k = 1): Promise<U> {\n  const $predictions = convertToTensor(predictions, 'predictions', 'inTopK');\n  const $targets = convertToTensor(targets, 'targets', 'inTopK');\n\n  assert(\n      $predictions.rank > 1,\n      () => 'inTopK() expects the predictions to be of rank 2 or higher, ' +\n          `but got ${$predictions.rank}`);\n  assert(\n      $predictions.rank - 1 === $targets.rank,\n      () => `predictions rank should be 1 larger than ` +\n          `targets rank, but got predictions rank ` +\n          `${$predictions.rank} and targets rank ${$targets.rank}`);\n  assertShapesMatch(\n      $predictions.shape.slice(0, $predictions.shape.length - 1),\n      $targets.shape,\n      `predictions's shape should be align with the targets' shape, ` +\n          'except the last dimension.');\n  const lastDim = $predictions.shape[$predictions.shape.length - 1];\n  assert(\n      k > 0 && k <= lastDim,\n      () => `'k' passed to inTopK() must be > 0 && <= the predictions last ` +\n          `dimension (${lastDim}), but got ${k}`);\n\n  const predictionsVals = await $predictions.data();\n  const targetsVals = await $targets.data();\n\n  // Reshape predictionsVals into a 2d tensor [batch, lastDim]\n  // and look up topK along lastDim.\n  const [batch, size] = [predictionsVals.length / lastDim, lastDim];\n  const precision = getTypedArrayFromDType('bool', batch);\n\n  for (let b = 0; b < batch; b++) {\n    const offset = b * size;\n    const vals = predictionsVals.subarray(offset, offset + size);\n    const valAndInd: Array<{value: number, index: number}> = [];\n    for (let i = 0; i < vals.length; i++) {\n      valAndInd.push({value: vals[i], index: i});\n    }\n    valAndInd.sort((a, b) => b.value - a.value);\n\n    precision[b] = 0;\n    for (let i = 0; i < k; i++) {\n      if (valAndInd[i].index === targetsVals[b]) {\n        precision[b] = 1;\n        break;\n      }\n    }\n  }\n\n  if (predictions !== $predictions) {\n    $predictions.dispose();\n  }\n  if (targets !== $targets) {\n    $targets.dispose();\n  }\n\n  // Output precision has the same shape as targets.\n  return tensor(precision, $targets.shape, 'bool') as U;\n}\n\nexport const inTopKAsync = inTopKAsync_;\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {customGrad} from '../gradients';\nimport {Tensor} from '../tensor';\nimport {GradSaveFunc} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assertShapesMatch} from '../util';\nimport {expandShapeToKeepDim} from './axis_util';\nimport {minimum} from './binary_ops';\nimport {op} from './operation';\nimport {ones, scalar} from './tensor_ops';\n\nexport enum Reduction {\n  NONE,\n  MEAN,\n  SUM,\n  SUM_BY_NONZERO_WEIGHTS\n}\n\n/**\n * Computes the weighted loss between two tensors.\n *\n * @param losses Tensor of shape `[batch_size, d1, ... dN]`.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `losses`, and must be broadcastable to `losses` (i.e., all\n *    dimensions must be either `1`, or the same as the corresponding\n *    `losses` dimension).\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction computeWeightedLoss_<T extends Tensor, O extends Tensor>(\n    losses: T|TensorLike, weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $losses = convertToTensor(losses, 'losses', 'computeWeightedLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'computeWeightedLoss');\n  }\n\n  const weightedLoss = ($weights == null) ? $losses : $losses.mul($weights);\n\n  if (reduction === Reduction.NONE) {\n    return weightedLoss as O;\n  }\n  if (reduction === Reduction.SUM) {\n    return weightedLoss.sum();\n  }\n  if (reduction === Reduction.MEAN) {\n    if ($weights == null) {\n      return weightedLoss.mean();\n    } else {\n      const broadcastFactor = $losses.size / $weights.size;\n      const result = weightedLoss.sum().div($weights.sum());\n      return broadcastFactor > 1 ? result.div(scalar(broadcastFactor)) :\n                                   result as O;\n    }\n  }\n  if (reduction === Reduction.SUM_BY_NONZERO_WEIGHTS) {\n    if ($weights == null) {\n      return weightedLoss.sum().div(scalar($losses.size));\n    } else {\n      const broadcastedWeights = $weights.mul(ones($losses.shape));\n\n      const numNonZeros =\n          broadcastedWeights.notEqual(scalar(0)).sum().toFloat();\n      return weightedLoss.sum().div(numNonZeros);\n    }\n  }\n\n  throw Error(`Unknown reduction: ${reduction}`);\n}\n\n/**\n * Computes the absolute difference loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction absoluteDifference_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'absoluteDifference');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'absoluteDifference');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'absoluteDifference');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in absoluteDifference: ');\n\n  const losses = $labels.sub($predictions).abs();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the mean squared error between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction meanSquaredError_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'meanSquaredError');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'meanSquaredError');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'meanSquaredError');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in meanSquaredError: ');\n\n  const losses = $labels.squaredDifference($predictions);\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the cosine distance loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param axis The dimension along which the cosine distance is computed.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction cosineDistance_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike, axis: number,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'cosineDistance');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'cosineDistance');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'cosineDistance');\n  }\n  assertShapesMatch(\n      $labels.shape, $predictions.shape, 'Error in cosineDistance: ');\n\n  const one = scalar(1);\n  const losses = one.sub($labels.mul($predictions).sum(axis, true));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the Hinge loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction hingeLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $labels = convertToTensor(labels, 'labels', 'hingeLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'hingeLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'hingeLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in hingeLoss: ');\n\n  const one = scalar(1);\n  // Convert binary labels to (-1, 1)\n  $labels = scalar(2).mul($labels).sub(one);\n  const losses = one.sub($labels.mul($predictions)).relu();\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the log loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param epsilon A small increment to avoid taking log of zero\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction logLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, epsilon = 1e-7,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'logLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'logLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'logLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in logLoss: ');\n\n  const one = scalar(1);\n  const epsilonScalar = scalar(epsilon);\n  const losses = $labels.mul($predictions.add(epsilonScalar).log())\n                     .neg()\n                     .sub(one.sub($labels).mul(\n                         one.sub($predictions).add(epsilonScalar).log()));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nfunction sigmoidCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, logits: T|TensorLike): O {\n  const $labels =\n      convertToTensor(labels, 'labels', 'sigmoidCrossEntropyWithLogits');\n  const $logits =\n      convertToTensor(logits, 'logits', 'sigmoidCrossEntropyWithLogits');\n  assertShapesMatch(\n      $labels.shape, $logits.shape, 'Error in sigmoidCrossEntropyWithLogits: ');\n\n  /**\n   * Implementation Details:\n   *\n   * For brevity, let `x = logits`, `z = labels`.  The logistic loss is\n   *     z * -log(sigmoid(x)) + (1 - z) * -log(1 - sigmoid(x))\n   *   = z * -log(1 / (1 + exp(-x))) + (1 - z) * -log(exp(-x) / (1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (-log(exp(-x)) + log(1 + exp(-x)))\n   *   = z * log(1 + exp(-x)) + (1 - z) * (x + log(1 + exp(-x))\n   *   = (1 - z) * x + log(1 + exp(-x))\n   *   = x - x * z + log(1 + exp(-x))\n   *\n   *   For x < 0, to avoid overflow in exp(-x), we reformulate the above\n   *     x - x * z + log(1 + exp(-x))\n   *   = log(exp(x)) - x * z + log(1 + exp(-x))\n   *   = - x * z + log(1 + exp(x))\n   *\n   * Hence, to ensure stability and avoid overflow, the implementation uses\n   * this equivalent formulation:\n   *     max(x, 0) - x * z + log(1 + exp(-abs(x)))\n   */\n  const maxOutput = $logits.relu();\n  const outputXTarget = $logits.mul($labels);\n  const sigmoidOutput = $logits.abs().neg().exp().log1p();\n\n  return maxOutput.sub(outputXTarget).add(sigmoidOutput);\n}\n\n/**\n * Computes the sigmoid cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newMulticlassLabels = multiclassLabels * (1 - labelSmoothing)\n *                         + 0.5 * labelSmoothing\n *\n * @param multiClassLabels The ground truth output tensor of shape\n * [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction sigmoidCrossEntropy_<T extends Tensor, O extends Tensor>(\n    multiClassLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $multiClassLabels = convertToTensor(\n      multiClassLabels, 'multiClassLabels', 'sigmoidCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'sigmoidCrossEntropy');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'sigmoidCrossEntropy');\n  }\n  assertShapesMatch(\n      $multiClassLabels.shape, $logits.shape, 'Error in sigmoidCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const half = scalar(0.5);\n\n    $multiClassLabels = $multiClassLabels.mul(one.sub(labelSmoothingScalar))\n                            .add(half.mul(labelSmoothingScalar));\n  }\n  const losses = sigmoidCrossEntropyWithLogits_($multiClassLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes the huber loss between two tensors.\n *\n * @param labels The ground truth output tensor, same dimensions as\n *    'predictions'.\n * @param predictions The predicted outputs.\n * @param weights Tensor whose rank is either 0, or the same rank as\n *    `labels`, and must be broadcastable to `labels` (i.e., all dimensions\n *    must be either `1`, or the same as the corresponding `losses`\n *    dimension).\n * @param delta Point where huber loss changes from quadratic to linear.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`.\n */\n/** @doc {heading: 'Training', subheading: 'Losses', namespace: 'losses'} */\nfunction huberLoss_<T extends Tensor, O extends Tensor>(\n    labels: T|TensorLike, predictions: T|TensorLike,\n    weights?: Tensor|TensorLike, delta = 1.0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  const $labels = convertToTensor(labels, 'labels', 'huberLoss');\n  const $predictions = convertToTensor(predictions, 'predictions', 'huberLoss');\n  let $weights: Tensor = null;\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'huberLoss');\n  }\n  assertShapesMatch($labels.shape, $predictions.shape, 'Error in huberLoss: ');\n\n  const deltaScalar = scalar(delta);\n  const error = $predictions.sub($labels).abs();\n  const quadratic = minimum(error, deltaScalar);\n  const linear = error.sub(quadratic);\n\n  const losses =\n      scalar(0.5).mul(quadratic.square()).add(deltaScalar.mul(linear));\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\n/**\n * Computes softmax cross entropy between logits and labels.\n *\n * Measures the probability error in discrete classification tasks in which\n * the classes are mutually exclusive (each entry is in exactly one class).\n * For example, each CIFAR-10 image is labeled with one and only one label: an\n * image can be a dog or a truck, but not both.\n *\n * `NOTE`: While the classes are mutually exclusive, their probabilities need\n * not be. All that is required is that each row of labels is a valid\n * probability distribution. If they are not, the computation of the gradient\n * will be incorrect.\n *\n * `WARNING`: This op expects unscaled logits, since it performs a softmax on\n * logits internally for efficiency. Do not call this op with the output of\n * softmax, as it will produce incorrect results.\n *\n * logits and labels must have the same shape, e.g. [batch_size, num_classes]\n * and the same dtype.\n * @param labels The labels array.\n * @param logits The logits array.\n * @param dim The dimension softmax would be performed on. Defaults to `-1`\n *     which indicates the last dimension.\n */\nfunction softmaxCrossEntropyWithLogits_<T extends Tensor, O extends Tensor>(\n    labels: T, logits: T, dim = -1): O {\n  if (dim === -1) {\n    dim = logits.rank - 1;\n  }\n\n  if (dim !== logits.rank - 1) {\n    throw Error(\n        `Softmax cross entropy along a non-last dimension is not yet ` +\n        `supported. Labels / logits was rank ${logits.rank} ` +\n        `and dim was ${dim}`);\n  }\n  // Use a custom gradient for numerical stability.\n  const customOp =\n      customGrad((labels: Tensor, logits: Tensor, save: GradSaveFunc) => {\n        // Reference:\n        //   1. http://cs231n.github.io/linear-classify/#softmax\n        //   2. https://blog.feedly.com/tricks-of-the-trade-logsumexp/\n        const keepDims = true;\n        const lse = logits.logSumExp([dim], keepDims);\n        const logResult = logits.toFloat().sub(lse);\n        save([labels, logResult]);\n\n        const costVector = logResult.mul(labels).neg();\n        const value: O = costVector.sum([dim]);\n\n        const gradFunc = (dy: O, saved: Tensor[]) => {\n          const [labels, logResult] = saved;\n          const dyShape = expandShapeToKeepDim(dy.shape, [dim]);\n          return [\n            dy.reshape(dyShape).mul(labels.toFloat().sub(logResult.exp())),\n            dy.reshape(dyShape).mul(logResult.exp().sub(labels.toFloat())),\n          ];\n        };\n        return {value, gradFunc};\n      });\n\n  return customOp(labels, logits);\n}\n\n/**\n * Computes the softmax cross entropy loss between two tensors.\n *\n * If labelSmoothing is nonzero, smooth the labels towards 1/2:\n *\n *   newOnehotLabels = onehotLabels * (1 - labelSmoothing)\n *                         + labelSmoothing / numClasses\n *\n * @param onehotLabels One hot encoded labels\n *    [batch_size, num_classes], same dimensions as 'predictions'.\n * @param logits The predicted outputs.\n * @param weights Tensor whose rank is either 0, or 1, and must be\n *    broadcastable to `loss`  of shape [batch_size]\n * @param labelSmoothing If greater than 0, then smooth the labels.\n * @param reduction Type of reduction to apply to loss. Should be of type\n *    `Reduction`\n */\n/** @doc { heading: 'Training', subheading: 'Losses', namespace: 'losses' } */\nfunction softmaxCrossEntropy_<T extends Tensor, O extends Tensor>(\n    onehotLabels: T|TensorLike, logits: T|TensorLike,\n    weights?: Tensor|TensorLike, labelSmoothing = 0,\n    reduction = Reduction.SUM_BY_NONZERO_WEIGHTS): O {\n  let $onehotLabels =\n      convertToTensor(onehotLabels, 'onehotLabels', 'softmaxCrossEntropy');\n  const $logits = convertToTensor(logits, 'logits', 'softmaxCrossEntropy');\n  let $weights: Tensor = null;\n\n  if (weights != null) {\n    $weights = convertToTensor(weights, 'weights', 'softmaxCrossEntropy');\n  }\n\n  assertShapesMatch(\n      $onehotLabels.shape, $logits.shape, 'Error in softmaxCrossEntropy: ');\n\n  if (labelSmoothing > 0) {\n    const labelSmoothingScalar = scalar(labelSmoothing);\n    const one = scalar(1);\n    const numClasses = scalar($onehotLabels.shape[1]);\n\n    $onehotLabels = $onehotLabels.mul(one.sub(labelSmoothingScalar))\n                        .add(labelSmoothingScalar.div(numClasses));\n  }\n\n  const losses = softmaxCrossEntropyWithLogits_($onehotLabels, $logits);\n\n  return computeWeightedLoss(losses, $weights, reduction);\n}\n\nexport const absoluteDifference = op({absoluteDifference_});\nexport const computeWeightedLoss = op({computeWeightedLoss_});\nexport const cosineDistance = op({cosineDistance_});\nexport const hingeLoss = op({hingeLoss_});\nexport const huberLoss = op({huberLoss_});\nexport const logLoss = op({logLoss_});\nexport const meanSquaredError = op({meanSquaredError_});\nexport const sigmoidCrossEntropy = op({sigmoidCrossEntropy_});\nexport const softmaxCrossEntropy = op({softmaxCrossEntropy_});\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Linear algebra ops.\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose} from '../globals';\nimport {Tensor, Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport {assert} from '../util';\nimport {squeeze, stack, unstack} from './array_ops';\nimport {sub} from './binary_ops';\nimport {split} from './concat_split';\nimport {eye} from './eye';\nimport {logicalAnd, where} from './logical_ops';\nimport {norm} from './norm';\nimport {op} from './operation';\nimport {sum} from './reduction_ops';\nimport {range, scalar, tensor2d, zeros} from './tensor_ops';\n\n/**\n * Copy a tensor setting everything outside a central band in each innermost\n * matrix to zero.\n *\n * The band part is computed as follows: Assume input has `k` dimensions\n * `[I, J, K, ..., M, N]`, then the output is a tensor with the same shape where\n * `band[i, j, k, ..., m, n] = in_band(m, n) * input[i, j, k, ..., m, n]`.\n * The indicator function\n * `in_band(m, n) = (num_lower < 0 || (m-n) <= num_lower))`\n * `&& (num_upper < 0 || (n-m) <= num_upper)`\n *\n * ```js\n * const x = tf.tensor2d([[ 0,  1,  2, 3],\n *                        [-1,  0,  1, 2],\n *                        [-2, -1,  0, 1],\n *                        [-3, -2, -1, 0]]);\n * let y = tf.linalg.bandPart(x, 1, -1);\n * y.print(); // [[ 0,  1,  2, 3],\n *            //  [-1,  0,  1, 2],\n *            //  [ 0, -1,  0, 1],\n *            //  [ 0, 0 , -1, 0]]\n * let z = tf.linalg.bandPart(x, 2, 1);\n * z.print(); // [[ 0,  1,  0, 0],\n *            //  [-1,  0,  1, 0],\n *            //  [-2, -1,  0, 1],\n *            //  [ 0, -2, -1, 0]]\n * ```\n *\n * @param x Rank `k` tensor\n * @param numLower Number of subdiagonals to keep.\n *   If negative, keep entire lower triangle.\n * @param numUpper Number of subdiagonals to keep.\n *   If negative, keep entire upper triangle.\n * @returns Rank `k` tensor of the same shape as input.\n *   The extracted banded tensor.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction bandPart_<T extends Tensor>(\n    a: T|TensorLike, numLower: number, numUpper: number): T {\n  if (numLower % 1 !== 0) {\n    throw new Error(\n        `bandPart(): numLower must be an integer, got ${numLower}.`);\n  }\n  if (numUpper % 1 !== 0) {\n    throw new Error(\n        `bandPart(): numUpper must be an integer, got ${numUpper}.`);\n  }\n\n  const $a = convertToTensor(a, 'a', 'bandPart');\n\n  if ($a.rank < 2) {\n    throw new Error(`bandPart(): Rank must be at least 2, got ${$a.rank}.`);\n  }\n\n  const shape = $a.shape, [M, N] = $a.shape.slice(-2);\n\n  if (!(numLower <= M)) {\n    throw new Error(\n        `bandPart(): numLower (${numLower})` +\n        ` must not be greater than the number of rows (${M}).`);\n  }\n  if (!(numUpper <= N)) {\n    throw new Error(\n        `bandPart(): numUpper (${numUpper})` +\n        ` must not be greater than the number of columns (${N}).`);\n  }\n\n  if (numLower < 0) {\n    numLower = M;\n  }\n  if (numUpper < 0) {\n    numUpper = N;\n  }\n\n  const i = range(0, M, 1, 'int32').reshape([-1, 1]),\n        j = range(0, N, 1, 'int32'), ij = sub(i, j);\n\n  const inBand = logicalAnd(\n      ij.lessEqual(scalar(+numLower, 'int32')),\n      ij.greaterEqual(scalar(-numUpper, 'int32')));\n\n  const zero = zeros([M, N], $a.dtype);\n\n  return stack(unstack($a.reshape([-1, M, N]))\n                   .map(mat => where(inBand, mat, zero)))\n             .reshape(shape) as T;\n}\n\n/**\n * Gram-Schmidt orthogonalization.\n *\n * ```js\n * const x = tf.tensor2d([[1, 2], [3, 4]]);\n * let y = tf.linalg.gramSchmidt(x);\n * y.print();\n * console.log('Othogonalized:');\n * y.dot(y.transpose()).print();  // should be nearly the identity matrix.\n * console.log('First row direction maintained:');\n * const data = await y.array();\n * console.log(data[0][1] / data[0][0]);  // should be nearly 2.\n * ```\n *\n * @param xs The vectors to be orthogonalized, in one of the two following\n *   formats:\n *   - An Array of `tf.Tensor1D`.\n *   - A `tf.Tensor2D`, i.e., a matrix, in which case the vectors are the rows\n *     of `xs`.\n *   In each case, all the vectors must have the same length and the length\n *   must be greater than or equal to the number of vectors.\n * @returns The orthogonalized and normalized vectors or matrix.\n *   Orthogonalization means that the vectors or the rows of the matrix\n *   are orthogonal (zero inner products). Normalization means that each\n *   vector or each row of the matrix has an L2 norm that equals `1`.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction gramSchmidt_(xs: Tensor1D[]|Tensor2D): Tensor1D[]|Tensor2D {\n  let inputIsTensor2D: boolean;\n  if (Array.isArray(xs)) {\n    inputIsTensor2D = false;\n    assert(\n        xs != null && xs.length > 0,\n        () => 'Gram-Schmidt process: input must not be null, undefined, or ' +\n            'empty');\n    const dim = xs[0].shape[0];\n    for (let i = 1; i < xs.length; ++i) {\n      assert(\n          xs[i].shape[0] === dim,\n          () =>\n              'Gram-Schmidt: Non-unique lengths found in the input vectors: ' +\n              `(${(xs as Tensor1D[])[i].shape[0]} vs. ${dim})`);\n    }\n  } else {\n    inputIsTensor2D = true;\n    xs = split(xs, xs.shape[0], 0).map(x => squeeze(x, [0]));\n  }\n\n  assert(\n      xs.length <= xs[0].shape[0],\n      () => `Gram-Schmidt: Number of vectors (${\n                (xs as Tensor1D[]).length}) exceeds ` +\n          `number of dimensions (${(xs as Tensor1D[])[0].shape[0]}).`);\n\n  const ys: Tensor1D[] = [];\n  const xs1d = xs;\n  for (let i = 0; i < xs.length; ++i) {\n    ys.push(ENGINE.tidy(() => {\n      let x = xs1d[i];\n      if (i > 0) {\n        for (let j = 0; j < i; ++j) {\n          const proj = sum(ys[j].mulStrict(x)).mul(ys[j]);\n          x = x.sub(proj);\n        }\n      }\n      return x.div(norm(x, 'euclidean'));\n    }));\n  }\n\n  if (inputIsTensor2D) {\n    return stack(ys, 0) as Tensor2D;\n  } else {\n    return ys;\n  }\n}\n\n/**\n * Compute QR decomposition of m-by-n matrix using Householder transformation.\n *\n * Implementation based on\n *   [http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf]\n * (http://www.cs.cornell.edu/~bindel/class/cs6210-f09/lec18.pdf)\n *\n * ```js\n * const a = tf.tensor2d([[1, 2], [3, 4]]);\n * let [q, r] = tf.linalg.qr(a);\n * console.log('Q');\n * q.print();\n * console.log('R');\n * r.print();\n * console.log('Orthogonalized');\n * q.dot(q.transpose()).print()  // should be nearly the identity matrix.\n * console.log('Reconstructed');\n * q.dot(r).print(); // should be nearly [[1, 2], [3, 4]];\n * ```\n *\n * @param x The `tf.Tensor` to be QR-decomposed. Must have rank >= 2. Suppose\n *   it has the shape `[..., M, N]`.\n * @param fullMatrices An optional boolean parameter. Defaults to `false`.\n *   If `true`, compute full-sized `Q`. If `false` (the default),\n *   compute only the leading N columns of `Q` and `R`.\n * @returns An `Array` of two `tf.Tensor`s: `[Q, R]`. `Q` is a unitary matrix,\n *   i.e., its columns all have unit norm and are mutually orthogonal.\n *   If `M >= N`,\n *     If `fullMatrices` is `false` (default),\n *       - `Q` has a shape of `[..., M, N]`,\n *       - `R` has a shape of `[..., N, N]`.\n *     If `fullMatrices` is `true` (default),\n *       - `Q` has a shape of `[..., M, M]`,\n *       - `R` has a shape of `[..., M, N]`.\n *   If `M < N`,\n *     - `Q` has a shape of `[..., M, M]`,\n *     - `R` has a shape of `[..., M, N]`.\n * @throws If the rank of `x` is less than 2.\n */\n/**\n * @doc {heading:'Operations',\n *       subheading:'Linear Algebra',\n *       namespace:'linalg'}\n */\nfunction qr_(x: Tensor, fullMatrices = false): [Tensor, Tensor] {\n  if (x.rank < 2) {\n    throw new Error(\n        `qr() requires input tensor to have a rank >= 2, but got rank ${\n            x.rank}`);\n  } else if (x.rank === 2) {\n    return qr2d(x as Tensor2D, fullMatrices);\n  } else {\n    // Rank > 2.\n    // TODO(cais): Below we split the input into individual 2D tensors,\n    //   perform QR decomposition on them and then stack the results back\n    //   together. We should explore whether this can be parallelized.\n    const outerDimsProd = x.shape.slice(0, x.shape.length - 2)\n                              .reduce((value, prev) => value * prev);\n    const x2ds = unstack(\n        x.reshape([\n          outerDimsProd, x.shape[x.shape.length - 2],\n          x.shape[x.shape.length - 1]\n        ]),\n        0);\n    const q2ds: Tensor2D[] = [];\n    const r2ds: Tensor2D[] = [];\n    x2ds.forEach(x2d => {\n      const [q2d, r2d] = qr2d(x2d as Tensor2D, fullMatrices);\n      q2ds.push(q2d);\n      r2ds.push(r2d);\n    });\n    const q = stack(q2ds, 0).reshape(x.shape);\n    const r = stack(r2ds, 0).reshape(x.shape);\n    return [q, r];\n  }\n}\n\nfunction qr2d(x: Tensor2D, fullMatrices = false): [Tensor2D, Tensor2D] {\n  return ENGINE.tidy(() => {\n    if (x.shape.length !== 2) {\n      throw new Error(\n          `qr2d() requires a 2D Tensor, but got a ${x.shape.length}D Tensor.`);\n    }\n\n    const m = x.shape[0];\n    const n = x.shape[1];\n\n    let q = eye(m);     // Orthogonal transform so far.\n    let r = x.clone();  // Transformed matrix so far.\n\n    const one2D = tensor2d([[1]], [1, 1]);\n    let w: Tensor2D = one2D.clone();\n\n    const iters = m >= n ? n : m;\n    for (let j = 0; j < iters; ++j) {\n      // This tidy within the for-loop ensures we clean up temporary\n      // tensors as soon as they are no longer needed.\n      const rTemp = r;\n      const wTemp = w;\n      const qTemp = q;\n      [w, r, q] = ENGINE.tidy((): [Tensor2D, Tensor2D, Tensor2D] => {\n        // Find H = I - tau * w * w', to put zeros below R(j, j).\n        const rjEnd1 = r.slice([j, j], [m - j, 1]);\n        const normX = rjEnd1.norm();\n        const rjj = r.slice([j, j], [1, 1]);\n\n        // The sign() function returns 0 on 0, which causes division by zero.\n        const s = tensor2d([[-1]]).where(rjj.greater(0), tensor2d([[1]]));\n\n        const u1 = rjj.sub(s.mul(normX));\n        const wPre = rjEnd1.div(u1);\n        if (wPre.shape[0] === 1) {\n          w = one2D.clone();\n        } else {\n          w = one2D.concat(\n              wPre.slice([1, 0], [wPre.shape[0] - 1, wPre.shape[1]]) as\n                  Tensor2D,\n              0);\n        }\n        const tau = s.matMul(u1).div(normX).neg() as Tensor2D;\n\n        // -- R := HR, Q := QH.\n        const rjEndAll = r.slice([j, 0], [m - j, n]);\n        const tauTimesW: Tensor2D = tau.mul(w);\n        const wT: Tensor2D = w.transpose();\n        if (j === 0) {\n          r = rjEndAll.sub(tauTimesW.matMul(wT.matMul(rjEndAll)));\n        } else {\n          const rTimesTau: Tensor2D =\n              rjEndAll.sub(tauTimesW.matMul(wT.matMul(rjEndAll)));\n          r = r.slice([0, 0], [j, n]).concat(rTimesTau, 0);\n        }\n        const tawTimesWT: Tensor2D = tauTimesW.transpose();\n        const qAllJEnd = q.slice([0, j], [m, q.shape[1] - j]);\n        if (j === 0) {\n          q = qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tawTimesWT));\n        } else {\n          const qTimesTau: Tensor2D =\n              qAllJEnd.sub(qAllJEnd.matMul(w).matMul(tawTimesWT));\n          q = q.slice([0, 0], [m, j]).concat(qTimesTau, 1);\n        }\n        return [w, r, q];\n      });\n      dispose([rTemp, wTemp, qTemp]);\n    }\n\n    if (!fullMatrices && m > n) {\n      q = q.slice([0, 0], [m, n]);\n      r = r.slice([0, 0], [n, n]);\n    }\n\n    return [q, r];\n  }) as [Tensor2D, Tensor2D];\n}\n\nexport const bandPart = op({bandPart_});\nexport const gramSchmidt = op({gramSchmidt_});\nexport const qr = op({qr_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {nonMaxSuppressionV3, nonMaxSuppressionV5} from '../backends/non_max_suppression_impl';\nimport {ENGINE, ForwardFunc} from '../engine';\nimport {Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D} from '../tensor';\nimport {NamedTensorMap} from '../tensor_types';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {op} from './operation';\n\n/**\n * Bilinear resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeBilinear_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeBilinear');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeBilinear: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () => `Error in resizeBilinear: new shape must 2D, but got shape ` +\n          `${size}.`);\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n\n  const [newHeight, newWidth] = size;\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeBilinear(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      x: () => ENGINE.runKernelFunc(\n          backend => backend.resizeBilinearBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(\n      forward, {x: batchImages}, backward, 'ResizeBilinear',\n      {alignCorners, newHeight, newWidth});\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * NearestNeighbor resize a batch of 3D images to a new shape.\n *\n * @param images The images, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is assumed.\n * @param size The new shape `[newHeight, newWidth]` to resize the\n *     images to. Each channel is resized individually.\n * @param alignCorners Defaults to False. If true, rescale\n *     input by `(new_height - 1) / (height - 1)`, which exactly aligns the 4\n *     corners of images and resized images. If false, rescale by\n *     `new_height / height`. Treat similarly the width dimension.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction resizeNearestNeighbor_<T extends Tensor3D|Tensor4D>(\n    images: T|TensorLike, size: [number, number], alignCorners = false): T {\n  const $images = convertToTensor(images, 'images', 'resizeNearestNeighbor');\n  util.assert(\n      $images.rank === 3 || $images.rank === 4,\n      () => `Error in resizeNearestNeighbor: x must be rank 3 or 4, but got ` +\n          `rank ${$images.rank}.`);\n  util.assert(\n      size.length === 2,\n      () =>\n          `Error in resizeNearestNeighbor: new shape must 2D, but got shape ` +\n          `${size}.`);\n  util.assert(\n      $images.dtype === 'float32' || $images.dtype === 'int32',\n      () => '`images` must have `int32` or `float32` as dtype');\n\n  let batchImages = $images as Tensor4D;\n  let reshapedTo4D = false;\n  if ($images.rank === 3) {\n    reshapedTo4D = true;\n    batchImages =\n        $images.as4D(1, $images.shape[0], $images.shape[1], $images.shape[2]);\n  }\n  const [newHeight, newWidth] = size;\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) => {\n    save([batchImages]);\n    return backend.resizeNearestNeighbor(\n        batchImages, newHeight, newWidth, alignCorners);\n  };\n\n  const backward = (dy: Tensor4D, saved: Tensor[]) => {\n    return {\n      batchImages: () => ENGINE.runKernelFunc(\n          backend => backend.resizeNearestNeighborBackprop(\n              dy, saved[0] as Tensor4D, alignCorners),\n          {})\n    };\n  };\n\n  const res = ENGINE.runKernelFunc(forward, {batchImages}, backward);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @return A 1D tensor with the selected box indices.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppression_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Tensor1D {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold};\n  return ENGINE.runKernelFunc(\n      b => b.nonMaxSuppression(\n          $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold),\n      {boxes: $boxes, scores: $scores}, null /* grad */, 'NonMaxSuppressionV3',\n      attrs);\n}\n\n/** This is the async version of `nonMaxSuppression` */\nasync function nonMaxSuppressionAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY): Promise<Tensor1D> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV3(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\n/**\n * Performs non maximum suppression of bounding boxes based on\n * iou (intersection over union).\n *\n * This op also supports a Soft-NMS mode (c.f.\n * Bodla et al, https://arxiv.org/abs/1704.04503) where boxes reduce the score\n * of other overlapping boxes, therefore favoring different regions of the image\n * with high scores. To enable this Soft-NMS mode, set the `softNmsSigma`\n * parameter to be larger than 0.\n *\n * @param boxes a 2d tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the corners of\n *     the bounding box.\n * @param scores a 1d tensor providing the box scores of shape `[numBoxes]`.\n * @param maxOutputSize The maximum number of boxes to be selected.\n * @param iouThreshold A float representing the threshold for deciding whether\n *     boxes overlap too much with respect to IOU. Must be between [0, 1].\n *     Defaults to 0.5 (50% box overlap).\n * @param scoreThreshold A threshold for deciding when to remove boxes based\n *     on score. Defaults to -inf, which means any score is accepted.\n * @param softNmsSigma A float representing the sigma parameter for Soft NMS.\n *     When sigma is 0, it falls back to nonMaxSuppression.\n * @return A map with the following properties:\n *     - selectedIndices: A 1D tensor with the selected box indices.\n *     - selectedScores: A 1D tensor with the corresponding scores for each\n *       selected box.\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction nonMaxSuppressionWithScore_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): NamedTensorMap {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppression');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppression');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const attrs = {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n\n  const result = ENGINE.runKernel(\n                     'NonMaxSuppressionV5', {boxes: $boxes, scores: $scores},\n                     attrs) as Tensor[];\n\n  return {selectedIndices: result[0], selectedScores: result[1]};\n}\n\n/** This is the async version of `nonMaxSuppressionWithScore` */\nasync function nonMaxSuppressionWithScoreAsync_(\n    boxes: Tensor2D|TensorLike, scores: Tensor1D|TensorLike,\n    maxOutputSize: number, iouThreshold = 0.5,\n    scoreThreshold = Number.NEGATIVE_INFINITY,\n    softNmsSigma = 0.0): Promise<NamedTensorMap> {\n  const $boxes = convertToTensor(boxes, 'boxes', 'nonMaxSuppressionAsync');\n  const $scores = convertToTensor(scores, 'scores', 'nonMaxSuppressionAsync');\n\n  const inputs = nonMaxSuppSanityCheck(\n      $boxes, $scores, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n  maxOutputSize = inputs.maxOutputSize;\n  iouThreshold = inputs.iouThreshold;\n  scoreThreshold = inputs.scoreThreshold;\n  softNmsSigma = inputs.softNmsSigma;\n\n  const boxesAndScores = await Promise.all([$boxes.data(), $scores.data()]);\n  const boxesVals = boxesAndScores[0];\n  const scoresVals = boxesAndScores[1];\n\n  const res = nonMaxSuppressionV5(\n      boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold,\n      softNmsSigma);\n\n  if ($boxes !== boxes) {\n    $boxes.dispose();\n  }\n  if ($scores !== scores) {\n    $scores.dispose();\n  }\n  return res;\n}\n\nfunction nonMaxSuppSanityCheck(\n    boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n    iouThreshold: number, scoreThreshold: number, softNmsSigma?: number): {\n  maxOutputSize: number,\n  iouThreshold: number,\n  scoreThreshold: number,\n  softNmsSigma: number\n} {\n  if (iouThreshold == null) {\n    iouThreshold = 0.5;\n  }\n  if (scoreThreshold == null) {\n    scoreThreshold = Number.NEGATIVE_INFINITY;\n  }\n  if (softNmsSigma == null) {\n    softNmsSigma = 0.0;\n  }\n\n  const numBoxes = boxes.shape[0];\n  maxOutputSize = Math.min(maxOutputSize, numBoxes);\n\n  util.assert(\n      0 <= iouThreshold && iouThreshold <= 1,\n      () => `iouThreshold must be in [0, 1], but was '${iouThreshold}'`);\n  util.assert(\n      boxes.rank === 2,\n      () => `boxes must be a 2D tensor, but was of rank '${boxes.rank}'`);\n  util.assert(\n      boxes.shape[1] === 4,\n      () =>\n          `boxes must have 4 columns, but 2nd dimension was ${boxes.shape[1]}`);\n  util.assert(scores.rank === 1, () => 'scores must be a 1D tensor');\n  util.assert(\n      scores.shape[0] === numBoxes,\n      () => `scores has incompatible shape with boxes. Expected ${numBoxes}, ` +\n          `but was ${scores.shape[0]}`);\n  util.assert(\n      0 <= softNmsSigma && softNmsSigma <= 1,\n      () => `softNmsSigma must be in [0, 1], but was '${softNmsSigma}'`);\n  return {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma};\n}\n\n/**\n * Extracts crops from the input image tensor and resizes them using bilinear\n * sampling or nearest neighbor sampling (possibly with aspect ratio change)\n * to a common output size specified by crop_size.\n *\n * @param image 4d tensor of shape `[batch,imageHeight,imageWidth, depth]`,\n *     where imageHeight and imageWidth must be positive, specifying the\n *     batch of images from which to take crops\n * @param boxes 2d float32 tensor of shape `[numBoxes, 4]`. Each entry is\n *     `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the normalized\n *     coordinates of the box in the boxInd[i]'th image in the batch\n * @param boxInd 1d int32 tensor of shape `[numBoxes]` with values in range\n *     `[0, batch)` that specifies the image that the `i`-th box refers to.\n * @param cropSize 1d int32 tensor of 2 elements `[cropHeigh, cropWidth]`\n *     specifying the size to which all crops are resized to.\n * @param method Optional string from `'bilinear' | 'nearest'`,\n *     defaults to bilinear, which specifies the sampling method for resizing\n * @param extrapolationValue A threshold for deciding when to remove boxes based\n *     on score. Defaults to 0.\n * @return A 4D tensor of the shape `[numBoxes,cropHeight,cropWidth,depth]`\n */\n/** @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'} */\nfunction cropAndResize_(\n    image: Tensor4D|TensorLike,\n    boxes: Tensor2D|TensorLike,\n    boxInd: Tensor1D|TensorLike,\n    cropSize: [number, number],\n    method?: 'bilinear'|'nearest',\n    extrapolationValue?: number,\n    ): Tensor4D {\n  const $image = convertToTensor(image, 'image', 'cropAndResize');\n  const $boxes = convertToTensor(boxes, 'boxes', 'cropAndResize', 'float32');\n  const $boxInd = convertToTensor(boxInd, 'boxInd', 'cropAndResize', 'int32');\n  method = method || 'bilinear';\n  extrapolationValue = extrapolationValue || 0;\n\n  const numBoxes = $boxes.shape[0];\n\n  util.assert(\n      $image.rank === 4,\n      () => 'Error in cropAndResize: image must be rank 4,' +\n          `but got rank ${$image.rank}.`);\n  util.assert(\n      $boxes.rank === 2 && $boxes.shape[1] === 4,\n      () => `Error in cropAndResize: boxes must be have size [${numBoxes},4] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      $boxInd.rank === 1 && $boxInd.shape[0] === numBoxes,\n      () => `Error in cropAndResize: boxInd must be have size [${numBoxes}] ` +\n          `but had shape ${$boxes.shape}.`);\n  util.assert(\n      cropSize.length === 2,\n      () => `Error in cropAndResize: cropSize must be of length 2, but got ` +\n          `length ${cropSize.length}.`);\n  util.assert(\n      cropSize[0] >= 1 && cropSize[1] >= 1,\n      () => `cropSize must be atleast [1,1], but was ${cropSize}`);\n  util.assert(\n      method === 'bilinear' || method === 'nearest',\n      () => `method must be bilinear or nearest, but was ${method}`);\n\n  const forward: ForwardFunc<Tensor4D> = (backend, save) =>\n      backend.cropAndResize(\n          $image, $boxes, $boxInd, cropSize, method, extrapolationValue);\n\n  const res = ENGINE.runKernelFunc(\n      forward, {images: $image, boxes: $boxes, boxInd: $boxInd}, null /* der */,\n      'CropAndResize', {method, extrapolationValue, cropSize});\n  return res;\n}\n\nexport const resizeBilinear = op({resizeBilinear_});\nexport const resizeNearestNeighbor = op({resizeNearestNeighbor_});\nexport const nonMaxSuppression = op({nonMaxSuppression_});\nexport const nonMaxSuppressionAsync = nonMaxSuppressionAsync_;\nexport const nonMaxSuppressionWithScore = op({nonMaxSuppressionWithScore_});\nexport const nonMaxSuppressionWithScoreAsync = nonMaxSuppressionWithScoreAsync_;\nexport const cropAndResize = op({cropAndResize_});\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\n\nimport {Conv2DInfo} from './conv_util';\n\nexport type Activation = 'linear'|'relu'|'prelu'|'elu'|'relu6';\n\nexport type FusedBatchMatMulConfig = {\n  a: Tensor3D,\n  b: Tensor3D,\n  transposeA: boolean,\n  transposeB: boolean,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\nexport type FusedConv2DConfig = {\n  input: Tensor4D,\n  filter: Tensor4D,\n  convInfo: Conv2DInfo,\n  bias?: Tensor,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n};\n\n// Whether we should call fused ops.\nexport const shouldFuse = (gradientDepth: number, activation: Activation) => {\n  const gradientMode = gradientDepth > 0;\n  return !gradientMode || activation === 'linear';\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {conv2dDerFilter, conv2dDerInput, depthwiseConv2dDerFilter, depthwiseConv2dDerInput} from '../ops/conv';\nimport * as conv_util from '../ops/conv_util';\nimport {op} from '../ops/operation';\nimport {Tensor, Tensor3D, Tensor4D} from '../tensor';\nimport {makeTypesMatch} from '../tensor_util';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {add} from './add';\nimport * as broadcast_util from './broadcast_util';\nimport {conv2d as unfusedConv2d, depthwiseConv2d as unfusedDepthwiseConv2d} from './conv';\nimport {Activation, shouldFuse} from './fused_util';\nimport {matMul as unfusedMatMul} from './matmul';\nimport {elu, prelu, relu, relu6} from './relu_ops';\n\n// Returns gradient for fused activation.\nconst getFusedDyActivation =\n    (dy: Tensor, y: Tensor, activation: Activation): Tensor => {\n      if (activation == null || activation === 'linear') {\n        return dy;\n      }\n      if (activation === 'relu') {\n        return dy.mul(y.step());\n      }\n      throw new Error(\n          `Gradient for activation ${activation} has not been ` +\n          `implemented yet.`);\n    };\n\n// Returns gradient for fused bias.\nconst getFusedBiasGradient = (bias: Tensor, dyActivation: Tensor): Tensor => {\n  let res = dyActivation;\n  const reduceAxes =\n      broadcast_util.getReductionAxes(bias.shape, dyActivation.shape);\n  if (reduceAxes.length > 0) {\n    res = res.sum(reduceAxes);\n  }\n  return res.reshape(bias.shape);\n};\n\nconst applyActivation =\n    (x: Tensor, activation: Activation, preluActivationWeights?: Tensor):\n        Tensor => {\n          if (activation === 'linear') {\n            return x;\n          } else if (activation === 'relu') {\n            return relu(x);\n          } else if (activation === 'elu') {\n            return elu(x);\n          } else if (activation === 'relu6') {\n            return relu6(x);\n          } else if (activation === 'prelu') {\n            return prelu(x, preluActivationWeights);\n          }\n          throw new Error(`Unknown fused activation ${activation}.`);\n        };\n\n/**\n * Computes the dot product of two matrices with optional activation and bias.\n *\n * ```js\n * const a = tf.tensor2d([-1, -2], [1, 2]);\n * const b = tf.tensor2d([1, 2, 3, 4], [2, 2]);\n * const bias = tf.tensor2d([1, 2], [1, 2]);\n *\n * tf.fused.matMul({a, b, bias, activation: 'relu'}).print();\n * ```\n *\n * @param obj An object with the following properties:\n * - `a` First matrix in dot product operation.\n * - `b` Second matrix in dot product operation.\n * - `transposeA` If true, `a` is transposed before multiplication.\n * - `transposeB` If true, `b` is transposed before multiplication.\n * - `bias` Matrix to be added to the result.\n * - `activation` Name of activation kernel (defaults to `linear`).\n * - `preluActivationWeights` Tensor of prelu weights.\n */\nfunction fusedMatMul_<T extends Tensor>({\n  a,\n  b,\n  transposeA = false,\n  transposeB = false,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  a: T|TensorLike,\n  b: T|TensorLike,\n  transposeA?: boolean,\n  transposeB?: boolean,\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedMatMul(a, b, transposeA, transposeB);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  let $a = convertToTensor(a, 'a', 'fused matMul');\n  let $b = convertToTensor(b, 'b', 'fused matMul');\n  [$a, $b] = makeTypesMatch($a, $b);\n\n  const innerShapeA =\n      transposeA ? $a.shape[$a.rank - 2] : $a.shape[$a.rank - 1];\n  const innerShapeB =\n      transposeB ? $b.shape[$b.rank - 1] : $b.shape[$b.rank - 2];\n\n  const outerShapeA =\n      transposeA ? $a.shape[$a.rank - 1] : $a.shape[$a.rank - 2];\n  const outerShapeB =\n      transposeB ? $b.shape[$b.rank - 2] : $b.shape[$b.rank - 1];\n\n  const outerDimsA = $a.shape.slice(0, -2);\n  const outerDimsB = $b.shape.slice(0, -2);\n  const batchDimA = util.sizeFromShape(outerDimsA);\n  const batchDimB = util.sizeFromShape(outerDimsB);\n\n  util.assert(\n      $a.rank >= 2 && $b.rank >= 2 && $a.rank === $b.rank,\n      () =>\n          `Error in fused matMul: inputs must have the same rank of at least ` +\n          `2, got ranks ${$a.rank} and ${$b.rank}.`);\n\n  util.assert(\n      util.arraysEqual(outerDimsA, outerDimsB),\n      () => `Error in fused matMul: outer dimensions (${outerDimsA}) and (` +\n          `${outerDimsB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} must match.`);\n\n  util.assert(\n      innerShapeA === innerShapeB,\n      () => `Error in fused matMul: inner shapes (${innerShapeA}) and (` +\n          `${innerShapeB}) of Tensors with shapes ${$a.shape} and ` +\n          `${$b.shape} and transposeA=${transposeA}` +\n          ` and transposeB=${transposeB} must match.`);\n\n  const outShape = $a.shape.slice(0, -2).concat([outerShapeA, outerShapeB]);\n\n  const a3D = transposeA ? $a.as3D(batchDimA, innerShapeA, outerShapeA) :\n                           $a.as3D(batchDimA, outerShapeA, innerShapeA);\n  const b3D = transposeB ? $b.as3D(batchDimB, outerShapeB, innerShapeB) :\n                           $b.as3D(batchDimB, innerShapeB, outerShapeB);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused matMul');\n    [$bias] = makeTypesMatch($bias, $a);\n\n    broadcast_util.assertAndGetBroadcastShape(outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused matMul');\n  }\n\n  const grad = (dy: Tensor3D, saved: Tensor[]) => {\n    const [a3D, b3D, y] = saved;\n    const dyActivation = getFusedDyActivation(dy, y, activation);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    if (!transposeA && !transposeB) {\n      return Object.assign(\n          {\n            a: () => dyActivation.matMul(b3D as Tensor3D, false, true),\n            b: () => a3D.matMul(dyActivation, true, false)\n          },\n          biasGradient);\n    } else if (!transposeA && transposeB) {\n      return Object.assign(\n          {\n            a: () => dyActivation.matMul(b3D as Tensor3D, false, false),\n            b: () => dyActivation.matMul(a3D as Tensor3D, true, false)\n          },\n          biasGradient);\n    } else if (transposeA && !transposeB) {\n      return Object.assign(\n          {\n            a: () => b3D.matMul(dyActivation, false, true),\n            b: () => a3D.matMul(dyActivation, false, false)\n          },\n          biasGradient);\n    } else {\n      return Object.assign(\n          {\n            a: () => b3D.matMul(dyActivation, true, true),\n            b: () => dyActivation.matMul(a3D as Tensor3D, true, true)\n          },\n          biasGradient);\n    }\n  };\n\n  const inputs:\n      {a: Tensor, b: Tensor,\n       bias?: Tensor,\n       preluActivationWeights?: Tensor} = {a: a3D, b: b3D};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [a3D, b3D];\n  const outputsToSave = [true];\n\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const y = backend.fusedBatchMatMul({\n          a: a3D,\n          b: b3D,\n          transposeA,\n          transposeB,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([a3D, b3D, y]);\n        return y;\n      },\n      inputs, grad, '_FusedMatMul', {transposeA, transposeB, activation},\n      inputsToSave, outputsToSave);\n  return res.reshape(outShape) as T;\n}\n\n/**\n * Computes a 2D convolution over the input x, optionally fused with adding a\n * bias and applying an activation.\n *\n * ```js\n * const inputDepth = 2;\n * const inShape = [2, 2, 2, inputDepth];\n * const outputDepth = 2;\n * const fSize = 1;\n * const pad = 0;\n * const strides = 1;\n *\n * const x = tf.tensor4d( [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,\n * 16], inShape);\n * const w = tf.tensor4d([-1, 1, -2, 0.5], [fSize, fSize, inputDepth,\n * outputDepth]);\n *\n * tf.fused.conv2d({ x, filter: w, strides, pad, dataFormat: 'NHWC',\n * dilations: [1, 1], bias: tf.scalar(5), activation: 'relu' }).print();\n * ```\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter, rank 4, of shape\n *     `[filterHeight, filterWidth, inDepth, outDepth]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid` output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dataFormat An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `dilations` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`) to be\n *     applied\n *      after biasAdd.\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  activation = activation || 'linear';\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'conv2d');\n  const $filter = convertToTensor(filter, 'filter', 'conv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused conv2d: input must be rank 4, but got rank ` +\n          `${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused conv2d: filter must be rank 4, but got rank ` +\n          `${$filter.rank}.`);\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused conv2d: pad must be an integer when using, ` +\n            `dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in conv2d: depth of input (${x4D.shape[3]}) must match ` +\n          `input depth for filter ${$filter.shape[2]}.`);\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () => 'Error in conv2D: Either strides or dilations must be 1. ' +\n          `Got strides ${strides} and dilations '${dilations}'`);\n  util.assert(\n      dataFormat === 'NHWC',\n      () => `Error in conv2d: got dataFormat of ${\n          dataFormat} but only NHWC is currently supported.`);\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused conv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    const [$filter, x4D, y] = saved as [Tensor4D, Tensor4D, Tensor4D];\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused conv2D: ' +\n            `dilation rates greater than 1 ` +\n            `are not yet supported in gradients. Got dilations '${dilations}'`);\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () =>\n              conv2dDerInput(x4D.shape, dyActivation, $filter, strides, pad),\n          filter: () =>\n              conv2dDerFilter(x4D, dyActivation, $filter.shape, strides, pad)\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];  // Save the only output.\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedConv2d({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedConv2D', {convInfo, activation}, inputsToSave,\n      outputsToSave);\n\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n\n  return res as T;\n}\n\n/**\n * Computes depthwise 2D convolution, optionally fused with adding a\n * bias and applying an activation.\n *\n * Given a 4D `input` array and a `filter` array of shape\n * `[filterHeight, filterWidth, inChannels, channelMultiplier]` containing\n * `inChannels` convolutional filters of depth 1, this op applies a\n * different filter to each input channel (expanding from 1 channel to\n * `channelMultiplier` channels for each), then concatenates the results\n * together. The output has `inChannels * channelMultiplier` channels.\n *\n * See\n * [https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d](\n *     https://www.tensorflow.org/api_docs/python/tf/nn/depthwise_conv2d)\n * for more details.\n *\n * @param obj An object with the following properties:\n * @param x The input tensor, of rank 4 or rank 3, of shape\n *     `[batch, height, width, inChannels]`. If rank 3, batch of 1 is\n * assumed.\n * @param filter The filter tensor, rank 4, of shape\n *     `[filterHeight, filterWidth, inChannels, channelMultiplier]`.\n * @param strides The strides of the convolution: `[strideHeight,\n * strideWidth]`. If strides is a single number, then `strideHeight ==\n * strideWidth`.\n * @param pad The type of padding algorithm.\n *   - `same` and stride 1: output will be of same size as input,\n *       regardless of filter size.\n *   - `valid`: output will be smaller than input if filter is larger\n *       than 1x1.\n *   - For more info, see this guide:\n *     [https://www.tensorflow.org/api_guides/python/nn#Convolution](\n *          https://www.tensorflow.org/api_guides/python/nn#Convolution)\n * @param dilations The dilation rates: `[dilationHeight, dilationWidth]`\n *     in which we sample input values across the height and width dimensions\n *     in atrous convolution. Defaults to `[1, 1]`. If `rate` is a single\n *     number, then `dilationHeight == dilationWidth`. If it is greater than\n *     1, then all values of `strides` must be 1.\n * @param dataFormat: An optional string from: \"NHWC\", \"NCHW\". Defaults to\n *     \"NHWC\". Specify the data format of the input and output data. With the\n *     default format \"NHWC\", the data is stored in the order of: [batch,\n *     height, width, channels]. Only \"NHWC\" is currently supported.\n * @param dimRoundingMode The rounding mode used when computing output\n *     dimensions if pad is a number. If none is provided, it will not round\n *     and error if the output is of fractional size.\n * @param bias Tensor to be added to the result.\n * @param activation Name of activation kernel (defaults to `linear`).\n * @param preluActivationWeights Tensor of prelu weights to be applied as part\n *     of a `prelu` activation, typically the same shape as `x`.\n */\nfunction fusedDepthwiseConv2d_<T extends Tensor3D|Tensor4D>({\n  x,\n  filter,\n  strides,\n  pad,\n  dataFormat = 'NHWC',\n  dilations = [1, 1],\n  dimRoundingMode,\n  bias,\n  activation = 'linear',\n  preluActivationWeights\n}: {\n  x: T|TensorLike,\n  filter: Tensor4D|TensorLike,\n  strides: [number, number]|number,\n  pad: 'valid'|'same'|number,\n  dataFormat?: 'NHWC'|'NCHW',\n  dilations?: [number, number]|number,\n  dimRoundingMode?: 'floor'|'round'|'ceil',\n  bias?: Tensor|TensorLike,\n  activation?: Activation,\n  preluActivationWeights?: Tensor\n}): T {\n  if (shouldFuse(ENGINE.state.gradientDepth, activation) === false) {\n    let result = unfusedDepthwiseConv2d(\n        x, filter, strides, pad, dataFormat, dilations, dimRoundingMode);\n    if (bias != null) {\n      result = add(result, bias);\n    }\n\n    return applyActivation(result, activation, preluActivationWeights) as T;\n  }\n\n  const $x = convertToTensor(x, 'x', 'depthwiseConv2d');\n  const $filter = convertToTensor(filter, 'filter', 'depthwiseConv2d');\n\n  let x4D = $x as Tensor4D;\n  let reshapedTo4D = false;\n  if ($x.rank === 3) {\n    reshapedTo4D = true;\n    x4D = $x.as4D(1, $x.shape[0], $x.shape[1], $x.shape[2]);\n  }\n  util.assert(\n      x4D.rank === 4,\n      () => `Error in fused depthwiseConv2d: input must be rank 4, but got ` +\n          `rank ${x4D.rank}.`);\n  util.assert(\n      $filter.rank === 4,\n      () => `Error in fused depthwiseConv2d: filter must be rank 4, ` +\n          `but got rank ${$filter.rank}.`);\n  util.assert(\n      x4D.shape[3] === $filter.shape[2],\n      () => `Error in fused depthwiseConv2d: number of input channels ` +\n          `(${x4D.shape[3]}) must match the inChannels dimension in ` +\n          `filter ${$filter.shape[2]}.`);\n  if (dilations == null) {\n    dilations = [1, 1];\n  }\n  util.assert(\n      conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n      () =>\n          'Error in fused depthwiseConv2d: Either strides or dilations must ' +\n          `be 1. Got strides ${strides} and dilations '${dilations}'`);\n\n  if (dimRoundingMode != null) {\n    util.assert(\n        util.isInt(pad as number),\n        () => `Error in fused depthwiseConv2d: pad must be an integer when ` +\n            `using dimRoundingMode ${dimRoundingMode} but got pad ${pad}.`);\n  }\n\n  const convInfo = conv_util.computeConv2DInfo(\n      x4D.shape, $filter.shape, strides, dilations, pad, dimRoundingMode,\n      true /* depthwise */);\n\n  let $bias: Tensor;\n  if (bias != null) {\n    $bias = convertToTensor(bias, 'bias', 'fused conv2d');\n    [$bias] = makeTypesMatch($bias, $x);\n\n    broadcast_util.assertAndGetBroadcastShape(convInfo.outShape, $bias.shape);\n  }\n\n  let $preluActivationWeights: Tensor;\n  if (preluActivationWeights != null) {\n    $preluActivationWeights = convertToTensor(\n        preluActivationWeights, 'prelu weights', 'fused depthwiseConv2d');\n  }\n\n  const grad = (dy: Tensor4D, saved: Tensor[]) => {\n    util.assert(\n        conv_util.tupleValuesAreOne(dilations),\n        () => 'Error in gradient of fused depthwiseConv2d: dilation rates ' +\n            `greater than 1 are not yet supported. Got dilations ` +\n            `'${dilations}'`);\n    const [$filter, x4D, y] = saved;\n\n    const dyActivation = getFusedDyActivation(dy, y, activation) as Tensor4D;\n\n    let biasGradient = {};\n    if (bias != null) {\n      biasGradient = {bias: () => getFusedBiasGradient($bias, dyActivation)};\n    }\n\n    return Object.assign(\n        {\n          x: () => depthwiseConv2dDerInput(\n              (x4D as Tensor4D).shape, dyActivation, $filter as Tensor4D,\n              convInfo),\n          filter: () => depthwiseConv2dDerFilter(\n              x4D as Tensor4D, dyActivation, ($filter as Tensor4D).shape,\n              convInfo),\n        },\n        biasGradient);\n  };\n\n  const inputs: {\n    x: Tensor,\n    filter: Tensor,\n    bias?: Tensor,\n    preluActivationWeights?: Tensor\n  } = {x: x4D, filter: $filter};\n  if (bias != null) {\n    inputs.bias = $bias;\n  }\n  if (preluActivationWeights != null) {\n    inputs.preluActivationWeights = $preluActivationWeights;\n  }\n\n  const inputsToSave = [$filter, x4D];\n  const outputsToSave = [true];\n  const res = ENGINE.runKernelFunc(\n      (backend, save) => {\n        const res = backend.fusedDepthwiseConv2D({\n          input: x4D,\n          filter: $filter,\n          convInfo,\n          bias: $bias,\n          activation,\n          preluActivationWeights: $preluActivationWeights\n        });\n        save([$filter, x4D, res]);\n        return res;\n      },\n      inputs, grad, 'FusedDepthwiseConv2D', {convInfo, activation},\n      inputsToSave, outputsToSave);\n  if (reshapedTo4D) {\n    return res.as3D(res.shape[1], res.shape[2], res.shape[3]) as T;\n  }\n  return res as T;\n}\n\nexport const matMul = op({fusedMatMul_});\nexport const conv2d = op({fusedConv2d_});\nexport const depthwiseConv2d = op({fusedDepthwiseConv2d_});\n\nexport {Activation};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../kernel_registry';\nimport {assert} from '../../util';\n\nexport function assertNotComplex(\n    tensor: TensorInfo|TensorInfo[], opName: string): void {\n  if (!Array.isArray(tensor)) {\n    tensor = [tensor];\n  }\n  tensor.forEach(t => {\n    if (t != null) {\n      assert(\n          t.dtype !== 'complex64',\n          () => `${opName} does not support complex64 tensors.`);\n    }\n  });\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Conv2DInfo} from '../../ops/conv_util';\nimport * as ops from '../../ops/ops';\nimport {buffer} from '../../ops/ops';\nimport {TensorBuffer} from '../../tensor';\nimport {DataType, Rank, TypedArray} from '../../types';\n\nexport function pool(\n    xValues: TypedArray, xShape: number[], dtype: DataType, strides: number[],\n    convInfo: Conv2DInfo, poolType: 'max'|'avg'): TensorBuffer<Rank, DataType> {\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padTop = convInfo.padInfo.top;\n  const padLeft = convInfo.padInfo.left;\n\n  const initialValue =\n      (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                            Number.POSITIVE_INFINITY);\n\n  const output = ops.buffer(convInfo.outShape, dtype);\n  const outputVals = output.values;\n\n  const outputBatchStrides =\n      convInfo.outShape[1] * convInfo.outShape[2] * convInfo.outShape[3];\n  const outputRowStrides = convInfo.outShape[2] * convInfo.outShape[3];\n  const outputColStrides = convInfo.outShape[3];\n\n  for (let b = 0; b < convInfo.batchSize; ++b) {\n    const outputBatchOffset = b * outputBatchStrides;\n    const inputBatchOffset = b * strides[0];\n    for (let d = 0; d < convInfo.inChannels; ++d) {\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const xRCorner = yR * strideHeight - padTop;\n        const xRMin = Math.max(0, xRCorner);\n        const xRMax =\n            Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n        const outputRowOffset = outputBatchOffset + yR * outputRowStrides;\n        for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n          const xCCorner = yC * strideWidth - padLeft;\n          const xCMin = Math.max(0, xCCorner);\n          const xCMax =\n              Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n          let minMaxValue = initialValue;\n          let avgValue = 0;\n          let count = 0;\n          for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n            const xROffset = inputBatchOffset + xR * strides[1];\n            for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n              const xCOffset = xROffset + xC * strides[2];\n              const pixel = xValues[xCOffset + d];\n              if ((poolType === 'max' && pixel > minMaxValue)) {\n                minMaxValue = pixel;\n              } else if (poolType === 'avg') {\n                avgValue += pixel;\n                count++;\n              }\n            }\n            if (isNaN(minMaxValue)) {\n              break;\n            }\n          }\n          const outputOffset = outputRowOffset + yC * outputColStrides + d;\n          outputVals[outputOffset] =\n              poolType === 'avg' ? avgValue / count : minMaxValue;\n        }\n      }\n    }\n  }\n  return output;\n}\n\nexport function maxPoolPositions(\n    xValues: TypedArray, xShape: number[], dtype: DataType,\n    convInfo: Conv2DInfo, flattenPositions = false,\n    includeBatchInIndex = false): TensorBuffer<Rank, 'int32'> {\n  const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n  const strideHeight = convInfo.strideHeight;\n  const strideWidth = convInfo.strideWidth;\n  const dilationHeight = convInfo.dilationHeight;\n  const dilationWidth = convInfo.dilationWidth;\n  const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n  const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n  const padTop = convInfo.padInfo.top;\n  const padLeft = convInfo.padInfo.left;\n\n  const xBuf = buffer(xShape, dtype, xValues);\n  for (let b = 0; b < convInfo.batchSize; ++b) {\n    for (let d = 0; d < convInfo.inChannels; ++d) {\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const xRCorner = yR * strideHeight - padTop;\n        let xRMin = xRCorner;\n        while (xRMin < 0) {\n          xRMin += dilationHeight;\n        }\n        // const xRMin = Math.max(0, xRCorner);\n        const xRMax =\n            Math.min(convInfo.inHeight, effectiveFilterHeight + xRCorner);\n        for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n          const xCCorner = yC * strideWidth - padLeft;\n          let xCMin = xCCorner;\n          while (xCMin < 0) {\n            xCMin += dilationWidth;\n          }\n          const xCMax =\n              Math.min(convInfo.inWidth, effectiveFilterWidth + xCCorner);\n          let maxValue = Number.NEGATIVE_INFINITY;\n          let maxPosition = -1;\n\n          for (let xR = xRMin; xR < xRMax; xR += dilationHeight) {\n            const wR = xR - xRCorner;\n            for (let xC = xCMin; xC < xCMax; xC += dilationWidth) {\n              const wC = xC - xCCorner;\n              const pixel = xBuf.get(b, xR, xC, d);\n              if (pixel > maxValue) {\n                maxValue = pixel as number;\n                if (flattenPositions) {\n                  maxPosition = includeBatchInIndex ?\n                      ((b * convInfo.inHeight + xR) * convInfo.inWidth + xC) *\n                              convInfo.inChannels +\n                          d :\n                      (xR * convInfo.inWidth + xC) * convInfo.inChannels + d;\n                } else {\n                  maxPosition = wR * effectiveFilterWidth + wC;\n                }\n              }\n            }\n          }\n          maxPositions.set(maxPosition, b, yR, yC, d);\n        }\n      }\n    }\n  }\n  return maxPositions;\n}\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as seedrandom from 'seedrandom';\n\nimport {ENGINE} from '../../engine';\nimport {env} from '../../environment';\nimport {warn} from '../../log';\nimport * as array_ops_util from '../../ops/array_ops_util';\nimport * as axis_util from '../../ops/axis_util';\nimport * as broadcast_util from '../../ops/broadcast_util';\nimport {complex, imag, real} from '../../ops/complex_ops';\nimport * as concat_util from '../../ops/concat_util';\nimport {Conv2DInfo, Conv3DInfo} from '../../ops/conv_util';\nimport {div} from '../../ops/div';\nimport * as erf_util from '../../ops/erf_util';\nimport {Activation, FusedBatchMatMulConfig, FusedConv2DConfig} from '../../ops/fused_util';\nimport * as gather_nd_util from '../../ops/gather_nd_util';\nimport * as ops from '../../ops/ops';\nimport {buffer, scalar, tensor, tensor4d} from '../../ops/ops';\nimport * as scatter_nd_util from '../../ops/scatter_nd_util';\nimport * as selu_util from '../../ops/selu_util';\nimport {computeFlatOffset, computeOutShape, isSliceContinous} from '../../ops/slice_util';\nimport {transpose} from '../../ops/transpose';\nimport {DataId, Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer} from '../../tensor';\nimport {BackendValues, DataType, DataValues, NumericDataType, Rank, ShapeMap, TypedArray, upcastType} from '../../types';\nimport * as util from '../../util';\nimport {getArrayFromDType, inferDtype, now, sizeFromShape} from '../../util';\nimport {BackendTimingInfo, DataStorage, EPSILON_FLOAT32, KernelBackend} from '../backend';\nimport * as backend_util from '../backend_util';\nimport * as complex_util from '../complex_util';\nimport {nonMaxSuppressionV3} from '../non_max_suppression_impl';\nimport {split} from '../split_shared';\nimport {tile} from '../tile_impl';\nimport {topkImpl} from '../topk_impl';\nimport {whereImpl} from '../where_impl';\n\nimport {assertNotComplex} from './cpu_util';\nimport {maxPoolPositions, pool} from './pool_utils';\n\nfunction mapActivation(\n    backend: MathBackendCPU, x: Tensor, activation: Activation,\n    preluActivationWeights?: Tensor): Tensor {\n  if (activation === 'linear') {\n    return backend.linear(x);\n  } else if (activation === 'relu') {\n    return backend.relu(x);\n  } else if (activation === 'elu') {\n    return backend.elu(x);\n  } else if (activation === 'relu6') {\n    return backend.relu6(x);\n  } else if (activation === 'prelu') {\n    return backend.prelu(x, preluActivationWeights);\n  }\n  throw new Error(\n      `Activation ${activation} has not been implemented for the CPU backend.`);\n}\n\nexport interface TensorData<D extends DataType> {\n  values?: BackendValues;\n  dtype: D;\n  // For complex numbers, the real and imaginary parts are stored as their own\n  // individual tensors, with a parent joining the two with the\n  // complexTensors field.\n  // TODO(smilkov): Replace Tensor with TensorInfo when you modularize ops\n  // that work with complex tensors.\n  complexTensors?: {real: Tensor, imag: Tensor};\n}\n\nexport class MathBackendCPU extends KernelBackend {\n  public blockSize = 48;\n\n  data: DataStorage<TensorData<DataType>>;\n  private firstUse = true;\n\n  constructor() {\n    super();\n    this.data = new DataStorage(this, ENGINE);\n  }\n\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    if (this.firstUse) {\n      this.firstUse = false;\n      if (env().get('IS_NODE')) {\n        warn(\n            '\\n============================\\n' +\n            'Hi there 👋. Looks like you are running TensorFlow.js in ' +\n            'Node.js. To speed things up dramatically, install our node ' +\n            'backend, which binds to TensorFlow C++, by running ' +\n            'npm i @tensorflow/tfjs-node, ' +\n            'or npm i @tensorflow/tfjs-node-gpu if you have CUDA. ' +\n            'Then call require(\\'@tensorflow/tfjs-node\\'); (-gpu ' +\n            'suffix for CUDA) at the start of your program. ' +\n            'Visit https://github.com/tensorflow/tfjs-node for more details.' +\n            '\\n============================');\n      }\n    }\n    const dataId = {};\n    this.data.set(dataId, {values, dtype});\n    return dataId;\n  }\n\n  move(dataId: DataId, values: BackendValues, shape: number[], dtype: DataType):\n      void {\n    this.data.set(dataId, {values, dtype});\n  }\n\n  numDataIds(): number {\n    return this.data.numDataIds();\n  }\n\n  async read(dataId: DataId): Promise<BackendValues> {\n    return this.readSync(dataId);\n  }\n  readSync(dataId: DataId): BackendValues {\n    const {dtype, complexTensors} = this.data.get(dataId);\n    if (dtype === 'complex64') {\n      const realValues =\n          this.readSync(complexTensors.real.dataId) as Float32Array;\n      const imagValues =\n          this.readSync(complexTensors.imag.dataId) as Float32Array;\n      return complex_util.mergeRealAndImagArrays(realValues, imagValues);\n    }\n    return this.data.get(dataId).values;\n  }\n\n  private bufferSync<R extends Rank>(t: Tensor<R>): TensorBuffer<R> {\n    const data = this.readSync(t.dataId);\n    let decodedData = data as DataValues;\n    if (t.dtype === 'string') {\n      try {\n        // Decode the bytes into string.\n        decodedData = (data as Uint8Array[]).map(d => util.decodeString(d));\n      } catch {\n        throw new Error('Failed to decode encoded string bytes into utf-8');\n      }\n    }\n    return buffer(t.shape, t.dtype, decodedData) as TensorBuffer<R>;\n  }\n\n  private makeOutput<T extends Tensor>(\n      values: BackendValues, shape: number[], dtype: DataType): T {\n    const dataId = this.write(values, shape, dtype);\n    return ENGINE.makeTensorFromDataId(dataId, shape, dtype, this) as T;\n  }\n\n  disposeData(dataId: DataId): void {\n    if (this.data.has(dataId)) {\n      const {complexTensors} = this.data.get(dataId);\n      if (complexTensors != null) {\n        complexTensors.real.dispose();\n        complexTensors.imag.dispose();\n      }\n      this.data.delete(dataId);\n    }\n  }\n\n  async time(f: () => void): Promise<BackendTimingInfo> {\n    const start = now();\n    f();\n    const kernelMs = now() - start;\n    return {kernelMs};\n  }\n\n  memory() {\n    return {\n      // Unreliable due to automatic gc. The numbers above are cumulative.\n      unreliable: true,\n      reasons:\n          ['The reported memory is an upper bound. Due to automatic garbage ' +\n           'collection, the true allocated memory may be less.']\n    };\n  }\n\n  complex<T extends Tensor>(real: T, imag: T): T {\n    const result = this.makeOutput(null, real.shape, 'complex64');\n\n    const resultData = this.data.get(result.dataId);\n    // The backend owns the reference to the underlying real and imaginary\n    // clones. These will explicitly get disposed when the complex tensor is\n    // disposed.\n    resultData.complexTensors = {\n      real: ENGINE.keep(real.clone()),\n      imag: ENGINE.keep(imag.clone())\n    };\n\n    return result as T;\n  }\n  real<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.real.clone() as T;\n  }\n  imag<T extends Tensor>(input: T): T {\n    const resultData = this.data.get(input.dataId);\n    return resultData.complexTensors.imag.clone() as T;\n  }\n\n  slice<T extends Tensor>(x: T, begin: number[], size: number[]): T {\n    assertNotComplex(x, 'slice');\n\n    const isContinous = isSliceContinous(x.shape, begin, size);\n    if (isContinous) {\n      const flatOffset = computeFlatOffset(begin, x.strides);\n      const length = util.sizeFromShape(size);\n      const vals = this.readSync(x.dataId) as TypedArray;\n      return tensor(\n                 vals.subarray(flatOffset, flatOffset + length), size,\n                 x.dtype) as T;\n    }\n\n    const buffer = ops.buffer(size, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; ++i) {\n      const loc = buffer.indexToLoc(i);\n      const xLoc = loc.map((idx, j) => idx + begin[j]);\n      buffer.values[i] = xBuf.get(...xLoc);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  stridedSlice<T extends Tensor>(\n      x: T, begin: number[], end: number[], strides: number[]): T {\n    assertNotComplex(x, 'stridedSlice');\n\n    const outShape = computeOutShape(begin, end, strides);\n\n    if (outShape.some(axis => axis === 0)) {\n      return ops.tensor([], outShape) as T;\n    }\n\n    const buffer = ops.buffer(outShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n    for (let i = 0; i < buffer.size; i++) {\n      const loc = buffer.indexToLoc(i);\n\n      const newLoc: number[] = new Array(loc.length);\n      for (let j = 0; j < newLoc.length; j++) {\n        newLoc[j] = loc[j] * strides[j] + begin[j];\n      }\n      buffer.set(xBuf.get(...newLoc), ...loc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  diag(x: Tensor): Tensor {\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const buffer = ops.buffer([x.size, x.size], x.dtype);\n    const vals = buffer.values;\n    for (let i = 0; i < xVals.length; i++) {\n      vals[i * x.size + i] = xVals[i];\n    }\n    return buffer.toTensor();\n  }\n\n  unstack(x: Tensor, axis: number): Tensor[] {\n    const num = x.shape[axis];\n    const outShape: number[] = new Array(x.rank - 1);\n    let outIndex = 0;\n    for (let i = 0; i < x.rank; i++) {\n      if (i !== axis) {\n        outShape[outIndex++] = x.shape[i];\n      }\n    }\n\n    const begin = new Array(x.rank).fill(0);\n    const size = x.shape.slice();\n    size[axis] = 1;\n    const res = new Array(num);\n    for (let i = 0; i < res.length; i++) {\n      begin[axis] = i;\n      res[i] = this.slice(x, begin, size).reshape(outShape);\n    }\n    return res;\n  }\n\n  reverse<T extends Tensor>(x: T, axis: number[]): T {\n    assertNotComplex(x, 'reverse');\n\n    const buffer = ops.buffer(x.shape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < buffer.size; i++) {\n      const outLoc = buffer.indexToLoc(i);\n      const inLoc = outLoc.slice();\n      axis.forEach(ax => inLoc[ax] = x.shape[ax] - 1 - inLoc[ax]);\n      buffer.set(xBuf.get(...inLoc), ...outLoc);\n    }\n\n    return buffer.toTensor() as T;\n  }\n\n  concat(tensors: Tensor[], axis: number): Tensor {\n    if (tensors[0].dtype === 'complex64') {\n      const reals = tensors.map((t) => real(t));\n      const imags = tensors.map((t) => imag(t));\n      return complex(this.concat(reals, axis), this.concat(imags, axis));\n    }\n    const tensors2D = tensors.map(t => {\n      const innerSize = util.sizeFromShape(t.shape.slice(axis));\n      return t.as2D(-1, innerSize);\n    });\n    const outShape =\n        concat_util.computeOutShape(tensors2D.map(t => t.shape), 1 /* axis */);\n    const values =\n        ops.buffer(outShape as [number, number], tensors[0].dtype as 'float32')\n            .values;\n    if (tensors2D[0].shape[0] === 1) {\n      // Use built-in TypedArray.set() method for speed.\n      let offset = 0;\n      tensors2D.forEach(t => {\n        values.set(this.readSync(t.dataId) as TypedArray, offset);\n        offset += t.size;\n      });\n    } else {\n      let colOffset = 0;\n      tensors2D.forEach(t => {\n        const tVals = this.readSync(t.dataId) as TypedArray;\n        let tIdx = 0;\n        for (let row = 0; row < t.shape[0]; ++row) {\n          const resIdx = row * outShape[1] + colOffset;\n          for (let col = 0; col < t.shape[1]; ++col) {\n            values[resIdx + col] = tVals[tIdx++];\n          }\n        }\n        colOffset += t.shape[1];\n      });\n    }\n    const finalOutShape =\n        concat_util.computeOutShape(tensors.map(t => t.shape), axis);\n    return tensor(values, finalOutShape, tensors[0].dtype);\n  }\n\n  neg<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'neg');\n\n    return this.multiply(ops.scalar(-1), x) as T;\n  }\n\n  add(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal + bReal, imag: aImag + bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue + bValue);\n  }\n\n  addN<T extends Tensor>(tensors: T[]): T {\n    assertNotComplex(tensors, 'addN');\n\n    const vals = tensors.map(t => this.readSync(t.dataId) as TypedArray);\n    const result = ops.buffer(tensors[0].shape, tensors[0].dtype as 'float32');\n    const resultVals = result.values;\n    for (let i = 0; i < tensors.length; i++) {\n      const currVals = vals[i];\n      for (let j = 0; j < resultVals.length; j++) {\n        resultVals[j] += currVals[j];\n      }\n    }\n    return result.toTensor() as T;\n  }\n\n  softmax<T extends Tensor>(logits: T, dim: number): T {\n    const axes = util.parseAxisParam([dim], logits.shape);\n    const maxLogit = this.max(logits, axes);\n    const expandedShape = axis_util.expandShapeToKeepDim(maxLogit.shape, axes);\n    const a = this.subtract(logits, maxLogit.reshape(expandedShape));\n    const b = this.exp(a);\n    const sumExp = this.sum(b, axes).reshape(expandedShape);\n\n    // TODO(annxingyuan): Call divImpl rather than op as part of softmax kernel\n    // modularization.\n    return div(b, sumExp);\n  }\n\n  subtract(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {real: aReal - bReal, imag: aImag - bImag};\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue - bValue);\n  }\n\n  pow<T extends Tensor>(a: T, b: Tensor): T {\n    assertNotComplex([a, b], 'pow');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.pow(aValue, bValue)) as\n        T;\n  }\n\n  batchMatMul(\n      a: Tensor3D, b: Tensor3D, transposeA: boolean,\n      transposeB: boolean): Tensor3D {\n    assertNotComplex([a, b], 'matMul');\n\n    const sharedDim = transposeA ? a.shape[1] : a.shape[2];\n    const leftDim = transposeA ? a.shape[2] : a.shape[1];\n    const rightDim = transposeB ? b.shape[1] : b.shape[2];\n    const batchDim = a.shape[0];\n\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const [aBatch, aOuterStep, aInnerStep] = transposeA ?\n        [a.strides[0], 1, a.strides[1]] :\n        [a.strides[0], a.strides[1], 1];\n    const [bInnerStep, bOuterStep, bBatch] = transposeB ?\n        [1, b.strides[1], b.strides[0]] :\n        [b.strides[1], 1, b.strides[0]];\n\n    const size = leftDim * rightDim;\n    const result = buffer([batchDim, leftDim, rightDim], a.dtype);\n    const resVals = result.values as TypedArray;\n    const blockSize = this.blockSize;\n\n    for (let b = 0; b < batchDim; b++) {\n      for (let i0 = 0; i0 < leftDim; i0 += blockSize) {\n        for (let j0 = 0; j0 < rightDim; j0 += blockSize) {\n          for (let k0 = 0; k0 < sharedDim; k0 += blockSize) {\n            // for when blockSize doesn't evenly divide the input\n            const iBlock = Math.min(i0 + blockSize, leftDim);\n            const jBlock = Math.min(j0 + blockSize, rightDim);\n            const kBlock = Math.min(k0 + blockSize, sharedDim);\n\n            for (let i = i0; i < iBlock; i++) {\n              for (let j = j0; j < jBlock; j++) {\n                let sum = 0.0;\n\n                for (let k = k0; k < kBlock; k++) {\n                  sum += aValues[b * aBatch + i * aOuterStep + k * aInnerStep] *\n                      bValues[k * bInnerStep + j * bOuterStep + b * bBatch];\n                }\n                resVals[b * size + (i * rightDim + j)] += sum;\n              }\n            }\n          }\n        }\n      }\n    }\n    return result.toTensor() as Tensor3D;\n  }\n\n  fusedBatchMatMul(\n      {a, b, transposeA, transposeB, bias, activation, preluActivationWeights}:\n          FusedBatchMatMulConfig): Tensor3D {\n    let result = this.batchMatMul(a, b, transposeA, transposeB);\n    if (bias) {\n      result = this.add(result, bias) as Tensor3D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor3D;\n    }\n    return result;\n  }\n\n  multiply(a: Tensor, b: Tensor): Tensor {\n    if (a.dtype === 'complex64' || b.dtype === 'complex64') {\n      return this.broadcastedBinaryComplexOp(\n          a.cast('complex64'), b.cast('complex64'),\n          (aReal, aImag, bReal, bImag) => {\n            return {\n              real: aReal * bReal - aImag * bImag,\n              imag: aReal * bImag + aImag * bReal\n            };\n          });\n    }\n\n    return this.broadcastedBinaryOp(\n        a, b, upcastType(a.dtype, b.dtype),\n        (aValue, bValue) => aValue * bValue);\n  }\n\n  floorDiv(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'floorDiv');\n\n    const op = (a: number, b: number) => Math.floor(a / b);\n    const outputDtype = 'int32';\n    return this.broadcastedBinaryOp(a, b, outputDtype, op);\n  }\n\n  sum(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    axis_util.assertAxesAreInnerMostDims('sum', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let sum = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        sum += aVals[offset + j];\n      }\n      vals[i] = sum;\n    }\n    return result;\n  }\n\n  prod(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'sum');\n\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(outShape, resultDtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let prod = 1;\n      for (let j = 0; j < reduceSize; ++j) {\n        prod *= aVals[offset + j];\n      }\n      vals[i] = prod;\n    }\n    return result;\n  }\n\n  unsortedSegmentSum<T extends Tensor>(\n      x: T, segmentIds: Tensor1D, numSegments: number): Tensor {\n    assertNotComplex(x, 'unsortedSegmentSum');\n\n    const res = [];\n\n    // Reshape the segment id's so that they can be broadcast with\n    // x. The new shape should be [segmentIds.shape, 1, ..., 1]\n    const numIters = x.rank - segmentIds.rank;\n    for (let i = 0; i < numIters; ++i) {\n      segmentIds = segmentIds.expandDims(i + 1);\n    }\n\n    for (let i = 0; i < numSegments; ++i) {\n      const segmentId = ops.scalar(i, 'int32');\n      const mask = ops.equal(segmentId, segmentIds).asType('float32');\n      const sum = mask.mul(x).sum(0);\n      res.push(sum);\n    }\n\n    return ops.stack(res);\n  }\n\n  argMin(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMin');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMin', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      let minIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n          minIndex = j;\n        }\n      }\n      vals[i] = minIndex;\n    }\n    return result;\n  }\n\n  argMax(x: Tensor, axis: number): Tensor {\n    assertNotComplex(x, 'argMax');\n\n    const axes = [axis];\n    axis_util.assertAxesAreInnerMostDims('argMax', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, 'int32');\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      let maxIndex = 0;\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n          maxIndex = j;\n        }\n      }\n      vals[i] = maxIndex;\n    }\n    return result;\n  }\n\n  cumsum(x: Tensor, axis: number, exclusive: boolean, reverse: boolean):\n      Tensor {\n    assertNotComplex(x, 'cumsum');\n\n    if (axis !== x.rank - 1) {\n      throw new Error(\n          `backend.cumsum in CPU expects an inner-most axis=${x.rank - 1} ` +\n          `but got axis=${axis}`);\n    }\n    const resultDtype = upcastType(x.dtype, 'int32');\n    const result = ops.zeros(x.shape, resultDtype);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    const finalDim = x.shape[x.rank - 1];\n    const indexAdjuster = reverse ?\n        (i: number, j: number) => i + finalDim - j - 1 :\n        (i: number, j: number) => i + j;\n    for (let i = 0; i < aVals.length; i += finalDim) {\n      for (let j = 0; j < finalDim; j++) {\n        const idx = indexAdjuster(i, j);\n        if (j === 0) {\n          vals[idx] = exclusive ? 0 : aVals[idx];\n        } else {\n          const prevIdx = indexAdjuster(i, j - 1);\n          vals[idx] = exclusive ? aVals[prevIdx] + vals[prevIdx] :\n                                  aVals[idx] + vals[prevIdx];\n        }\n      }\n    }\n    return result;\n  }\n\n  equal(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'equal');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal === bVal) ? 1 : 0;\n    });\n  }\n\n  notEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'notEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal !== bVal) ? 1 : 0;\n    });\n  }\n\n  less(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'less');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal < bVal) ? 1 : 0;\n    });\n  }\n\n  lessEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'lessEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal <= bVal) ? 1 : 0;\n    });\n  }\n\n  greater(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greater');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal > bVal) ? 1 : 0;\n    });\n  }\n\n  greaterEqual(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'greaterEqual');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return (aVal >= bVal) ? 1 : 0;\n    });\n  }\n\n  logicalNot<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'logicalNot');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = values[i] ? 0 : 1;\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  logicalAnd(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalAnd');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal && bVal;\n    });\n  }\n\n  logicalOr(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'logicalOr');\n\n    return this.broadcastedBinaryOp(a, b, 'bool', (aVal, bVal) => {\n      return aVal || bVal;\n    });\n  }\n\n  select(condition: Tensor, a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([condition, a, b], 'select');\n\n    const values = this.readSync(condition.dataId) as TypedArray;\n    const aValues = this.readSync(a.dataId) as TypedArray;\n    const bValues = this.readSync(b.dataId) as TypedArray;\n    const result = ops.zeros(a.shape, upcastType(a.dtype, b.dtype));\n    const newValues = this.readSync(result.dataId) as TypedArray;\n    let index = 0;\n    const offset = condition.rank === 0 || condition.rank > 1 || a.rank === 1 ?\n        1 :\n        util.sizeFromShape(a.shape.slice(1));\n\n    for (let i = 0; i < values.length; i++) {\n      for (let j = 0; j < offset; j++) {\n        if (values[i] === 1) {\n          newValues[index++] = aValues[i];\n        } else {\n          newValues[index++] = bValues[i];\n        }\n      }\n    }\n\n    return result;\n  }\n\n  where(condition: Tensor): Tensor2D {\n    assertNotComplex([condition], 'where');\n\n    const condVals = this.readSync(condition.dataId) as TypedArray;\n    return whereImpl(condition.shape, condVals);\n  }\n\n  topk<T extends Tensor>(x: T, k: number, sorted: boolean): [T, T] {\n    assertNotComplex(x, 'topk');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    return topkImpl(xVals, x.shape, x.dtype as NumericDataType, k, sorted);\n  }\n\n  min(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'min');\n\n    axis_util.assertAxesAreInnerMostDims('min', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let min = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value < min) {\n          min = value;\n        }\n      }\n      vals[i] = min;\n    }\n    return result;\n  }\n\n  minimum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'minimum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.min(aVal, bVal));\n  }\n\n  mod(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'mod');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const rem = aVal % bVal;\n      if ((aVal < 0 && bVal < 0) || (aVal >= 0 && bVal >= 0)) {\n        return rem;\n      } else {\n        return (rem + bVal) % bVal;\n      }\n    });\n  }\n\n  max(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'max');\n\n    axis_util.assertAxesAreInnerMostDims('max', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let max = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        if (value > max) {\n          max = value;\n        }\n      }\n      vals[i] = max;\n    }\n    return result;\n  }\n\n  maximum(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'maximum');\n\n    return this.broadcastedBinaryOp(\n        a, b, a.dtype, (aVal, bVal) => Math.max(aVal, bVal));\n  }\n\n  all(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'all');\n\n    axis_util.assertAxesAreInnerMostDims('all', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let all = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        all = all && value;\n      }\n      vals[i] = all;\n    }\n    return result;\n  }\n\n  any(x: Tensor, axes: number[]): Tensor {\n    assertNotComplex(x, 'any');\n\n    axis_util.assertAxesAreInnerMostDims('any', axes, x.rank);\n    const [outShape, reduceShape] =\n        axis_util.computeOutAndReduceShapes(x.shape, axes);\n    const result = ops.zeros(outShape, x.dtype);\n    const reduceSize = util.sizeFromShape(reduceShape);\n    const vals = this.readSync(result.dataId) as TypedArray;\n\n    const aVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < vals.length; ++i) {\n      const offset = i * reduceSize;\n      let anyVal = aVals[offset];\n      for (let j = 0; j < reduceSize; ++j) {\n        const value = aVals[offset + j];\n        anyVal = anyVal || value;\n      }\n      vals[i] = anyVal;\n    }\n    return result;\n  }\n\n  squaredDifference(a: Tensor, b: Tensor): Tensor {\n    assertNotComplex([a, b], 'squaredDifference');\n\n    return this.broadcastedBinaryOp(a, b, a.dtype, (aVal, bVal) => {\n      const diff = aVal - bVal;\n      return diff * diff;\n    });\n  }\n\n  ceil<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'ceil');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.ceil(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  floor<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'floor');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.floor(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sign<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (values[i] < 0) {\n        newValues[i] = -1;\n      } else if (values[i] > 0) {\n        newValues[i] = 1;\n      } else {\n        newValues[i] = 0;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  isNaN<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isNaN(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isInf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Math.abs(values[i]) === Infinity) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  isFinite<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'x');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Uint8Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      if (Number.isFinite(values[i])) {\n        newValues[i] = 1;\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'bool');\n  }\n\n  round<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'round');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      // The algorithm is based on banker's rounding.\n      const base = Math.floor(values[i]);\n      if (values[i] - base < 0.5) {\n        newValues[i] = Math.floor(values[i]);\n      } else if (values[i] - base > 0.5) {\n        newValues[i] = Math.ceil(values[i]);\n      } else {\n        if (base % 2.0 === 0.0) {\n          newValues[i] = base;\n        } else {\n          newValues[i] = base + 1.0;\n        }\n      }\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  exp<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'exp');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.exp(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  expm1<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'expm1');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = Math.expm1(values[i]);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  log1p<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'log1p');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.log1p(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  sqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  rsqrt<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'rsqrt');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = 1 / Math.sqrt(value);\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  reciprocal<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'reciprocal');\n\n    const values = this.readSync(x.dataId) as TypedArray;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      newValues[i] = 1 / values[i];\n    }\n    return this.makeOutput(newValues, x.shape, 'float32');\n  }\n\n  linear<T extends Tensor>(x: T): T {\n    return x;\n  }\n\n  relu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.max(0, inVals[i]);\n    }\n    return res as T;\n  }\n\n  relu6<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'relu');\n\n    const res = ops.zeros(x.shape, x.dtype);\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const inVals = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < inVals.length; ++i) {\n      resVals[i] = Math.min(Math.max(0, inVals[i]), 6);\n    }\n    return res as T;\n  }\n\n  prelu<T extends Tensor>(x: T, a: T): T {\n    assertNotComplex([x, a], 'prelu');\n\n    return this.broadcastedBinaryOp(\n               x, a, x.dtype,\n               (xValue, aValue) => xValue < 0 ? aValue * xValue : xValue) as T;\n  }\n\n  elu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'elu');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = v;\n      } else {\n        resultValues[i] = (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  eluDer<T extends Tensor>(dy: T, y: T): T {\n    assertNotComplex([dy, y], 'eluDer');\n\n    const resultValues = new Float32Array(y.size);\n    const values = this.readSync(y.dataId) as TypedArray;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 1) {\n        resultValues[i] = dyValues[i];\n      } else {\n        resultValues[i] = dyValues[i] * (v + 1);\n      }\n    }\n    return this.makeOutput(resultValues, y.shape, 'float32');\n  }\n\n  selu<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'selu');\n\n    // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n    // see: https://arxiv.org/abs/1706.02515\n    const scaleAlpha = selu_util.SELU_SCALEALPHA;\n    const scale = selu_util.SELU_SCALE;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      if (v >= 0) {\n        resultValues[i] = scale * v;\n      } else {\n        resultValues[i] = scaleAlpha * (Math.exp(v) - 1);\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  clip<T extends Tensor>(x: T, min: number, max: number): T {\n    assertNotComplex(x, 'clip');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const v = values[i];\n      resultValues[i] = v > max ? max : (v < min ? min : v);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  abs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.abs(values[i]);\n    }\n\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  complexAbs<T extends Tensor>(x: T): T {\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < x.size; ++i) {\n      const real = values[i * 2];\n      const imag = values[i * 2 + 1];\n      resultValues[i] = Math.hypot(real, imag);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  int<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'int');\n\n    const resultValues = new Int32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = values[i];\n    }\n    return this.makeOutput(resultValues, x.shape, 'int32');\n  }\n\n  sigmoid<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sigmoid');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = 1 / (1 + Math.exp(-values[i]));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  softplus<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'softplus');\n\n    // mirrors the implementation of tf.nn.softplus: https://goo.gl/vkcvwX\n\n    // epsilon is the difference between 1.0 and the next representable float.\n    // For a single precision 32 bit float this should be 2^-23, see:\n    // https://math.byu.edu/~schow/work/IEEEFloatingPoint.htm\n    const epsilon = 1.1920928955078125e-7;\n    const threshold = Math.log(epsilon) + 2.0;\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < values.length; ++i) {\n      // Value above which exp(x) may overflow, but softplus(x) == x\n      // is within machine epsilon.\n      const tooLarge = values[i] > -threshold;\n\n      // Value below which exp(x) may underflow, but softplus(x) == exp(x)\n      // is within machine epsilon.\n      const tooSmall = values[i] < threshold;\n\n      const expX = Math.exp(values[i]);\n      let result;\n\n      if (tooSmall) {\n        result = expX;\n      } else if (tooLarge) {\n        result = values[i];\n      } else {\n        result = Math.log(1.0 + expX);\n      }\n      resultValues[i] = result;\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  sin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.tan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asin<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asin');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asin(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acos<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acos');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acos(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atan');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atan(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atan2<T extends Tensor>(a: T, b: T): T {\n    assertNotComplex([a, b], 'atan2');\n\n    return this.broadcastedBinaryOp(\n               a, b, a.dtype, (aValue, bValue) => Math.atan2(aValue, bValue)) as\n        T;\n  }\n\n  sinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'sinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.sinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  cosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'cosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.cosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  tanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'tanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = util.tanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  asinh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'asinh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.asinh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  acosh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'acosh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.acosh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  atanh<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'atanh');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      resultValues[i] = Math.atanh(values[i]);\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  erf<T extends Tensor>(x: T): T {\n    assertNotComplex(x, 'erf');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    const p = erf_util.ERF_P;\n    const a1 = erf_util.ERF_A1;\n    const a2 = erf_util.ERF_A2;\n    const a3 = erf_util.ERF_A3;\n    const a4 = erf_util.ERF_A4;\n    const a5 = erf_util.ERF_A5;\n    for (let i = 0; i < values.length; ++i) {\n      const sign = Math.sign(values[i]);\n      const v = Math.abs(values[i]);\n      const t = 1.0 / (1.0 + p * v);\n      resultValues[i] = sign *\n          (1.0 -\n           (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t *\n               Math.exp(-v * v));\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  step<T extends Tensor>(x: T, alpha = 0): T {\n    assertNotComplex(x, 'step');\n\n    const resultValues = new Float32Array(x.size);\n    const values = this.readSync(x.dataId) as TypedArray;\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      if (isNaN(value)) {\n        resultValues[i] = NaN;\n      } else {\n        resultValues[i] = value > 0 ? 1 : alpha;\n      }\n    }\n    return this.makeOutput(resultValues, x.shape, 'float32');\n  }\n\n  fusedConv2d(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.conv2d(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  conv2d(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, filter], 'conv2d');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n\n    const xBatchStride = x.strides[0];\n    const xRowStride = isChannelsLast ? x.strides[1] : x.strides[2];\n    const xColStride = isChannelsLast ? x.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : x.strides[1];\n    const yBatchStride = y.strides[0];\n    const yRowStride = isChannelsLast ? y.strides[1] : y.strides[2];\n    const yColStride = isChannelsLast ? y.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : y.strides[1];\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * xBatchStride;\n      const yOffset1 = b * yBatchStride;\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * yRowStride;\n        const xRCorner = yR * convInfo.strideHeight - padTop;\n        for (let wR = 0; wR < filterHeight; wR++) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * xRowStride;\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * yColStride;\n            const xCCorner = yC * convInfo.strideWidth - padLeft;\n            for (let wC = 0; wC < filterWidth; wC++) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * xColStride;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1 * xChannelStride];\n                for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                  yVals[yOffset3 + d2 * yChannelStride] +=\n                      xVal * wVals[wOffset3 + d2];\n                }\n                wOffset3 += convInfo.outChannels;\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor() as Tensor4D;\n  }\n\n  conv3d(x: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padFront = convInfo.padInfo.front;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const y = ops.buffer<Rank.R5>(convInfo.outShape, x.dtype as 'float32');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yF = 0; yF < convInfo.outDepth; ++yF) {\n        const yOffset2 = yOffset1 + yF * y.strides[1];\n        const xFCorner = yF * convInfo.strideDepth - padFront;\n        for (let wF = 0; wF < filterDepth; wF++) {\n          const xF = xFCorner + wF * dilationDepth;\n          if (xF < 0 || xF >= convInfo.inDepth) {\n            continue;\n          }\n          const wOffset1 = wF * filter.strides[0];\n          const xOffset2 = xOffset1 + xF * x.strides[1];\n\n          for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n            const yOffset3 = yOffset2 + yR * y.strides[2];\n            const xRCorner = yR * convInfo.strideHeight - padTop;\n            for (let wR = 0; wR < filterHeight; wR++) {\n              const xR = xRCorner + wR * dilationHeight;\n              if (xR < 0 || xR >= convInfo.inHeight) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wR * filter.strides[1];\n              const xOffset3 = xOffset2 + xR * x.strides[2];\n              for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n                const yOffset4 = yOffset3 + yC * convInfo.outChannels;\n                const xCCorner = yC * convInfo.strideWidth - padLeft;\n                for (let wC = 0; wC < filterWidth; wC++) {\n                  const xC = xCCorner + wC * dilationWidth;\n                  if (xC < 0 || xC >= convInfo.inWidth) {\n                    continue;\n                  }\n                  const wOffset3 = wOffset2 + wC * filter.strides[2];\n                  const xOffset4 = xOffset3 + xC * convInfo.inChannels;\n                  let wOffset4 = wOffset3;\n                  for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                    const xVal = xVals[xOffset4 + d1];\n                    for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n                      yVals[yOffset4 + d2] += xVal * wVals[wOffset4 + d2];\n                    }\n                    wOffset4 += convInfo.outChannels;\n                  }\n                }\n              }\n            }\n          }\n        }\n      }\n    }\n    return y.toTensor();\n  }\n\n  conv2dDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'conv2dDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth,\n      dataFormat\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    const isChannelsLast = dataFormat === 'channelsLast';\n    const xBatchStride = dx.strides[0];\n    const xRowStride = isChannelsLast ? dx.strides[1] : dx.strides[2];\n    const xColStride = isChannelsLast ? dx.strides[2] : 1;\n    const xChannelStride = isChannelsLast ? 1 : dx.strides[1];\n    const yBatchStride = dy.strides[0];\n    const yRowStride = isChannelsLast ? dy.strides[1] : dy.strides[2];\n    const yColStride = isChannelsLast ? dy.strides[2] : 1;\n    const yChannelStride = isChannelsLast ? 1 : dy.strides[1];\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset =\n                    yBatchStride * b + yRowStride * yR + yColStride * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let d2 = 0; d2 < outChannels; ++d2) {\n                  const pixel = dyValues[dyOffset + yChannelStride * d2];\n                  const weight = fltValues[fltOffset + d2];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            const dxOffset = xBatchStride * b + xRowStride * xR +\n                xColStride * xC + xChannelStride * d1;\n            dxValues[dxOffset] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv3dDerInput(dy: Tensor5D, filter: Tensor5D, convInfo: Conv3DInfo):\n      Tensor5D {\n    const dx = ops.buffer<Rank.R5>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2, dxS3] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2, fltS3] = filter.strides;\n    const {\n      batchSize,\n      filterDepth,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inDepth,\n      inHeight,\n      inWidth,\n      outChannels,\n      outDepth,\n      outHeight,\n      outWidth,\n      strideDepth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const frontPad = filterDepth - 1 - convInfo.padInfo.front;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        // Frames of depth\n        for (let xF = 0; xF < inDepth; ++xF) {\n          const xFCorner = xF - frontPad;\n          const xFMin = Math.max(0, Math.ceil(xFCorner / strideDepth));\n          const yFMax =\n              Math.min(outDepth, (filterDepth + xFCorner) / strideDepth);\n\n          // Rows as per standard 2d matrix notation\n          for (let xR = 0; xR < inHeight; ++xR) {\n            const xRCorner = xR - topPad;\n            const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n            const yRMax =\n                Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n            // Columns as per standard 2d matrix notation\n            for (let xC = 0; xC < inWidth; ++xC) {\n              const xCCorner = xC - leftPad;\n              const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n              const yCMax =\n                  Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n              let dotProd = 0;\n              for (let yF = xFMin; yF < yFMax; ++yF) {\n                const wF = yF * strideDepth - xFCorner;\n\n                for (let yR = xRMin; yR < yRMax; ++yR) {\n                  const wR = yR * strideHeight - xRCorner;\n\n                  for (let yC = xCMin; yC < yCMax; ++yC) {\n                    const wC = yC * strideWidth - xCCorner;\n                    const dyOffset =\n                        dyS0 * b + dyS1 * yF + dyS2 * yR + dyS3 * yC;\n                    const fltOffset = fltS0 * (filterDepth - 1 - wF) +\n                        fltS1 * (filterHeight - 1 - wR) +\n                        fltS2 * (filterWidth - 1 - wC) + fltS3 * d1;\n\n                    for (let d2 = 0; d2 < outChannels; ++d2) {\n                      const pixel = dyValues[dyOffset + d2];\n                      const weight = fltValues[fltOffset + d2];\n                      dotProd += pixel * weight;\n                    }\n                  }\n                }\n              }\n              dxValues[dxS0 * b + dxS1 * xF + dxS2 * xR + dxS3 * xC + d1] =\n                  dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  conv2dDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([x, dy], 'conv2dDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const isChannelsLast = convInfo.dataFormat === 'channelsLast';\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n          for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n            // Need to convolve.\n            let dotProd = 0;\n            for (let b = 0; b < convInfo.batchSize; ++b) {\n              for (let yR = yRMin; yR < yRMax; ++yR) {\n                const xR = wR + yR * strideHeight - topPad;\n                for (let yC = yCMin; yC < yCMax; ++yC) {\n                  const xC = wC + yC * strideWidth - leftPad;\n                  if (isChannelsLast) {\n                    dotProd +=\n                        xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n                  } else {\n                    dotProd +=\n                        xBuf.get(b, d1, xR, xC) * dyBuf.get(b, d2, yR, yC);\n                  }\n                }\n              }\n            }\n            dW.set(dotProd, wR, wC, d1, d2);\n          }\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  conv3dDerFilter(x: Tensor5D, dy: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n\n    const dw = ops.buffer<Rank.R5>(convInfo.filterShape, 'float32');\n    const dwValues = dw.values;\n    const [dwS0, dwS1, dwS2, dwS3] = dw.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2, dyS3] = dy.strides;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const [xS0, xS1, xS2, xS3] = x.strides;\n\n    const frontPad = convInfo.padInfo.front;\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n\n    for (let wF = 0; wF < filterDepth; ++wF) {\n      const yFMin = Math.max(0, Math.ceil((frontPad - wF) / strideDepth));\n      const yFMax = Math.min(\n          convInfo.outDepth, (convInfo.inDepth + frontPad - wF) / strideDepth);\n      const wOffset1 = wF * dwS0;\n\n      for (let wR = 0; wR < filterHeight; ++wR) {\n        const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n        const yRMax = Math.min(\n            convInfo.outHeight,\n            (convInfo.inHeight + topPad - wR) / strideHeight);\n        const wOffset2 = wR * dwS1 + wOffset1;\n\n        for (let wC = 0; wC < filterWidth; ++wC) {\n          const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n          const yCMax = Math.min(\n              convInfo.outWidth,\n              (convInfo.inWidth + leftPad - wC) / strideWidth);\n          const wOffset3 = wC * dwS2 + wOffset2;\n\n          for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n            const wOffset4 = d1 * dwS3 + wOffset3;\n\n            for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n              let dotProd = 0;\n              for (let b = 0; b < convInfo.batchSize; ++b) {\n                const xOffset1 = b * xS0;\n                const yOffset1 = b * dyS0;\n\n                for (let yF = yFMin; yF < yFMax; ++yF) {\n                  const xF = wF + yF * strideDepth - frontPad;\n                  const xOffset2 = xF * xS1 + xOffset1;\n                  const yOffset2 = yF * dyS1 + yOffset1;\n\n                  for (let yR = yRMin; yR < yRMax; ++yR) {\n                    const xR = wR + yR * strideHeight - topPad;\n                    const xOffset3 = xR * xS2 + xOffset2;\n                    const yOffset3 = yR * dyS2 + yOffset2;\n\n                    for (let yC = yCMin; yC < yCMax; ++yC) {\n                      const xC = wC + yC * strideWidth - leftPad;\n                      const xOffset4 = xC * xS3 + xOffset3;\n                      const yOffset4 = yC * dyS3 + yOffset3;\n\n                      dotProd +=\n                          xValues[xOffset4 + d1] * dyValues[yOffset4 + d2];\n                    }\n                  }\n                }\n              }\n              dwValues[wOffset4 + d2] = dotProd;\n            }\n          }\n        }\n      }\n    }\n    return dw.toTensor();\n  }\n\n  fusedDepthwiseConv2D(\n      {input, filter, convInfo, bias, activation, preluActivationWeights}:\n          FusedConv2DConfig): Tensor4D {\n    let result = this.depthwiseConv2D(input, filter, convInfo);\n\n    if (bias) {\n      result = this.add(result, bias) as Tensor4D;\n    }\n    if (activation) {\n      result =\n          mapActivation(this, result, activation, preluActivationWeights) as\n          Tensor4D;\n    }\n    return result;\n  }\n\n  depthwiseConv2D(x: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, filter], 'depthwiseConv2D');\n\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const padLeft = convInfo.padInfo.left;\n    const padTop = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n    const y = ops.buffer(convInfo.outShape, x.dtype as 'float32');\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const wVals = this.readSync(filter.dataId) as TypedArray;\n    const yVals = y.values;\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      const xOffset1 = b * x.strides[0];\n      const yOffset1 = b * y.strides[0];\n      for (let yR = 0; yR < convInfo.outHeight; ++yR) {\n        const yOffset2 = yOffset1 + yR * y.strides[1];\n        const xRCorner = yR * convInfo.strideHeight - padLeft;\n        for (let wR = 0; wR < filterHeight; ++wR) {\n          const xR = xRCorner + wR * dilationHeight;\n          if (xR < 0 || xR >= convInfo.inHeight) {\n            continue;\n          }\n          const wOffset1 = wR * filter.strides[0];\n          const xOffset2 = xOffset1 + xR * x.strides[1];\n          for (let yC = 0; yC < convInfo.outWidth; ++yC) {\n            const yOffset3 = yOffset2 + yC * y.strides[2];\n            const xCCorner = yC * convInfo.strideWidth - padTop;\n            for (let wC = 0; wC < filterWidth; ++wC) {\n              const xC = xCCorner + wC * dilationWidth;\n              if (xC < 0 || xC >= convInfo.inWidth) {\n                continue;\n              }\n              const wOffset2 = wOffset1 + wC * filter.strides[1];\n              const xOffset3 = xOffset2 + xC * convInfo.inChannels;\n              let yOffset4 = yOffset3;\n              let wOffset3 = wOffset2;\n              for (let d1 = 0; d1 < convInfo.inChannels; ++d1) {\n                const xVal = xVals[xOffset3 + d1];\n                for (let q = 0; q < chMul; ++q) {\n                  yVals[yOffset4 + q] += xVal * wVals[wOffset3 + q];\n                }\n                yOffset4 += chMul;\n                wOffset3 += chMul;\n              }\n            }\n          }\n        }\n      }\n    }\n\n    return y.toTensor() as Tensor4D;\n  }\n\n  depthwiseConv2DDerInput(dy: Tensor4D, filter: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([dy, filter], 'depthwiseConv2DDerInput');\n\n    const dx = ops.buffer<Rank.R4>(convInfo.inShape, 'float32');\n    const dxValues = dx.values;\n    const [dxS0, dxS1, dxS2] = dx.strides;\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const [dyS0, dyS1, dyS2] = dy.strides;\n    const fltValues = this.readSync(filter.dataId) as TypedArray;\n    const [fltS0, fltS1, fltS2] = filter.strides;\n    const {\n      batchSize,\n      filterHeight,\n      filterWidth,\n      inChannels,\n      inHeight,\n      inWidth,\n      outChannels,\n      outHeight,\n      outWidth,\n      strideHeight,\n      strideWidth\n    } = convInfo;\n    const topPad = filterHeight - 1 - convInfo.padInfo.top;\n    const leftPad = filterWidth - 1 - convInfo.padInfo.left;\n    const chMul = outChannels / inChannels;\n\n    for (let b = 0; b < batchSize; ++b) {\n      for (let d1 = 0; d1 < inChannels; ++d1) {\n        for (let xR = 0; xR < inHeight; ++xR) {\n          const xRCorner = xR - topPad;\n          const xRMin = Math.max(0, Math.ceil(xRCorner / strideHeight));\n          const yRMax =\n              Math.min(outHeight, (filterHeight + xRCorner) / strideHeight);\n\n          for (let xC = 0; xC < inWidth; ++xC) {\n            const xCCorner = xC - leftPad;\n            const xCMin = Math.max(0, Math.ceil(xCCorner / strideWidth));\n            const yCMax =\n                Math.min(outWidth, (filterWidth + xCCorner) / strideWidth);\n\n            let dotProd = 0;\n            for (let yR = xRMin; yR < yRMax; ++yR) {\n              const wR = yR * strideHeight - xRCorner;\n\n              for (let yC = xCMin; yC < yCMax; ++yC) {\n                const wC = yC * strideWidth - xCCorner;\n                const dyOffset = dyS0 * b + dyS1 * yR + dyS2 * yC;\n                const fltOffset = fltS0 * (filterHeight - 1 - wR) +\n                    fltS1 * (filterWidth - 1 - wC) + fltS2 * d1;\n\n                for (let dm = 0; dm < chMul; ++dm) {\n                  const d2 = d1 * chMul + dm;\n                  const pixel = dyValues[dyOffset + d2];\n                  const weight = fltValues[fltOffset + dm];\n                  dotProd += pixel * weight;\n                }\n              }\n            }\n            dxValues[dxS0 * b + dxS1 * xR + dxS2 * xC + d1] = dotProd;\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  depthwiseConv2DDerFilter(x: Tensor4D, dy: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, dy], 'depthwiseConv2DDerFilter');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dW = ops.buffer<Rank.R4>(convInfo.filterShape, 'float32');\n\n    const leftPad = convInfo.padInfo.left;\n    const topPad = convInfo.padInfo.top;\n    const chMul = convInfo.outChannels / convInfo.inChannels;\n\n    const xBuf = this.bufferSync(x);\n    const dyBuf = this.bufferSync(dy);\n    for (let wR = 0; wR < filterHeight; ++wR) {\n      const yRMin = Math.max(0, Math.ceil((topPad - wR) / strideHeight));\n      const yRMax = Math.min(\n          convInfo.outHeight, (convInfo.inHeight + topPad - wR) / strideHeight);\n\n      for (let wC = 0; wC < filterWidth; ++wC) {\n        const yCMin = Math.max(0, Math.ceil((leftPad - wC) / strideWidth));\n        const yCMax = Math.min(\n            convInfo.outWidth, (convInfo.inWidth + leftPad - wC) / strideWidth);\n\n        for (let d2 = 0; d2 < convInfo.outChannels; ++d2) {\n          const d1 = Math.trunc(d2 / chMul);\n          const dm = d2 % chMul;\n\n          let dotProd = 0;\n          for (let b = 0; b < convInfo.batchSize; ++b) {\n            for (let yR = yRMin; yR < yRMax; ++yR) {\n              const xR = wR + yR * strideHeight - topPad;\n              for (let yC = yCMin; yC < yCMax; ++yC) {\n                const xC = wC + yC * strideWidth - leftPad;\n                dotProd += xBuf.get(b, xR, xC, d1) * dyBuf.get(b, yR, yC, d2);\n              }\n            }\n          }\n          dW.set(dotProd, wR, wC, d1, dm);\n        }\n      }\n    }\n    return dW.toTensor();\n  }\n\n  tile<T extends Tensor>(x: T, reps: number[]): T {\n    assertNotComplex(x, 'tile');\n    return tile(this.bufferSync(x), reps) as T;\n  }\n\n  pad<T extends Tensor>(\n      x: T, paddings: Array<[number, number]>, constantValue: number): T {\n    assertNotComplex(x, 'pad');\n\n    const outShape = paddings.map(\n        (p, i) => p[0] /* beforePad */ + x.shape[i] + p[1] /* afterPad */);\n    const start = paddings.map(p => p[0]);\n    const xBuffer = this.bufferSync(x);\n    const buffer = ops.buffer(outShape, x.dtype as 'float32');\n    if (constantValue !== 0) {\n      buffer.values.fill(constantValue);\n    }\n\n    for (let i = 0; i < x.size; i++) {\n      const coords = xBuffer.indexToLoc(i);\n      const outCoords = coords.map((c, i) => c + start[i]);\n      buffer.set(xBuffer.get(...coords), ...outCoords);\n    }\n    return buffer.toTensor() as T;\n  }\n\n  gather<T extends Tensor>(x: T, indices: Tensor1D, axis: number): T {\n    assertNotComplex([x, indices], 'gather');\n\n    const newShape: number[] = x.shape.slice();\n    const indicesValues = this.readSync(indices.dataId) as TypedArray;\n    newShape[axis] = indicesValues.length;\n    const result = buffer(newShape, x.dtype);\n    const xBuf = this.bufferSync(x);\n\n    for (let i = 0; i < result.size; ++i) {\n      const newLoc = result.indexToLoc(i);\n\n      const originalLoc: number[] = newLoc.slice();\n      originalLoc[axis] = indicesValues[newLoc[axis]];\n\n      const originalIndex = xBuf.locToIndex(originalLoc);\n      result.values[i] = xBuf.values[originalIndex];\n    }\n    return result.toTensor() as T;\n  }\n\n  batchToSpaceND<T extends Tensor>(\n      x: T, blockShape: number[], crops: number[][]): T {\n    assertNotComplex([x], 'batchToSpaceND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const reshaped = array_ops_util.getReshaped(x.shape, blockShape, prod);\n    const permuted =\n        array_ops_util.getPermuted(reshaped.length, blockShape.length);\n    const reshapedPermuted =\n        array_ops_util.getReshapedPermuted(x.shape, blockShape, prod);\n    const sliceBeginCoords =\n        array_ops_util.getSliceBeginCoords(crops, blockShape.length);\n    const sliceSize =\n        array_ops_util.getSliceSize(reshapedPermuted, crops, blockShape.length);\n\n    return transpose(x.reshape(reshaped), permuted)\n               .reshape(reshapedPermuted)\n               .slice(sliceBeginCoords, sliceSize) as T;\n  }\n\n  spaceToBatchND<T extends Tensor>(\n      x: T, blockShape: number[], paddings: Array<[number, number]>): T {\n    assertNotComplex([x], 'spaceToBatchND');\n\n    const prod = blockShape.reduce((a, b) => a * b);\n\n    const completePaddings: Array<[number, number]> = [[0, 0]];\n    completePaddings.push(...paddings);\n    for (let i = 1 + blockShape.length; i < x.shape.length; ++i) {\n      completePaddings.push([0, 0]);\n    }\n\n    const paddedX = x.pad(completePaddings);\n\n    const reshapedPaddedShape =\n        array_ops_util.getReshaped(paddedX.shape, blockShape, prod, false);\n    const permutedReshapedPaddedPermutation = array_ops_util.getPermuted(\n        reshapedPaddedShape.length, blockShape.length, false);\n    const flattenShape = array_ops_util.getReshapedPermuted(\n        paddedX.shape, blockShape, prod, false);\n\n    return transpose(\n               paddedX.reshape(reshapedPaddedShape),\n               permutedReshapedPaddedPermutation)\n               .reshape(flattenShape) as T;\n  }\n\n  maxPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'maxPool');\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    return pool(xValues, x.shape, x.dtype, x.strides, convInfo, 'max')\n               .toTensor() as Tensor4D;\n  }\n\n  maxPoolBackprop(dy: Tensor4D, x: Tensor4D, y: Tensor4D, convInfo: Conv2DInfo):\n      Tensor4D {\n    assertNotComplex([x, y], 'maxPoolBackprop');\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const maxPosBuf = buffer(\n        convInfo.outShape, x.dtype,\n        maxPoolPositions(xValues, x.shape, x.dtype, convInfo).values);\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n                const maxPos = effectiveFilterHeight * effectiveFilterWidth -\n                    1 - (maxPosBuf.get(b, dyR, dyC, d) as number);\n                const curPos = wR * effectiveFilterWidth + wC;\n\n                const mask = maxPos === curPos ? 1 : 0;\n                if (mask === 0) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel * mask;\n              }\n            }\n            dx.set(dotProd, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  avgPoolBackprop(dy: Tensor4D, x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex([dy, x], 'avgPoolBackprop');\n\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R4>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let b = 0; b < convInfo.batchSize; ++b) {\n      for (let d = 0; d < convInfo.inChannels; ++d) {\n        for (let dxR = 0; dxR < convInfo.inHeight; ++dxR) {\n          for (let dxC = 0; dxC < convInfo.inWidth; ++dxC) {\n            // Shader code begins.\n            const dyRCorner = dxR - padTop;\n            const dyCCorner = dxC - padLeft;\n            let dotProd = 0;\n            for (let wR = 0; wR < effectiveFilterHeight; wR += dilationHeight) {\n              const dyR = (dyRCorner + wR) / strideHeight;\n              if (dyR < 0 || dyR >= convInfo.outHeight ||\n                  Math.floor(dyR) !== dyR) {\n                continue;\n              }\n              for (let wC = 0; wC < effectiveFilterWidth; wC += dilationWidth) {\n                const dyC = (dyCCorner + wC) / strideWidth;\n                if (dyC < 0 || dyC >= convInfo.outWidth ||\n                    Math.floor(dyC) !== dyC) {\n                  continue;\n                }\n\n                const pixel = dyBuf.get(b, dyR, dyC, d);\n                dotProd += pixel;\n              }\n            }\n            dx.set(dotProd * avgMultiplier, b, dxR, dxC, d);\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  private pool3d(x: Tensor5D, convInfo: Conv3DInfo, poolType: 'max'|'avg'):\n      Tensor5D {\n    assertNotComplex(x, 'pool3d');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const initialValue =\n        (poolType === 'max' ? Number.NEGATIVE_INFINITY :\n                              Number.POSITIVE_INFINITY);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = ops.buffer(convInfo.outShape, x.dtype);\n    const outputVals = output.values;\n\n    const outputBatchStrides = convInfo.outShape[1] * convInfo.outShape[2] *\n        convInfo.outShape[3] * convInfo.outShape[4];\n    const outputDepthStrides =\n        convInfo.outShape[2] * convInfo.outShape[3] * convInfo.outShape[4];\n    const outputRowStrides = convInfo.outShape[3] * convInfo.outShape[4];\n    const outputColStrides = convInfo.outShape[4];\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      const outputBatchOffset = batch * outputBatchStrides;\n      const inputBatchOffset = batch * x.strides[0];\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          const outputDepthOffset =\n              outputBatchOffset + yDepth * outputDepthStrides;\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            const outputRowOffset = outputDepthOffset + yRow * outputRowStrides;\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n              // Shader code begins\n              const outputColOffset = outputRowOffset + yCol * outputColStrides;\n              let minMaxValue = initialValue;\n              let avgValue = 0;\n              let count = 0;\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const xDepthOffset = inputBatchOffset + xDepth * x.strides[1];\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const xRowOffset = xDepthOffset + xRow * x.strides[2];\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const xColOffset = xRowOffset + xCol * x.strides[3];\n                    const pixel = xValues[xColOffset + channel];\n                    if ((poolType === 'max' && pixel > minMaxValue)) {\n                      minMaxValue = pixel;\n                    } else if (poolType === 'avg') {\n                      avgValue += pixel;\n                      count++;\n                    }\n                    if (isNaN(minMaxValue)) {\n                      break;\n                    }\n                  }\n                  if (isNaN(minMaxValue)) {\n                    break;\n                  }\n                }\n                if (isNaN(minMaxValue)) {\n                  break;\n                }\n              }\n              const outputOffset = outputColOffset + channel;\n              outputVals[outputOffset] =\n                  poolType === 'avg' ? avgValue / count : minMaxValue;\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor5D;\n  }\n\n  avgPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'avgPool3d');\n\n    return this.pool3d(x, convInfo, 'avg').toFloat();\n  }\n\n  avgPool3dBackprop(dy: Tensor5D, x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([dy, x], 'avgPool3dBackprop');\n\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const filterDepth = convInfo.filterDepth;\n    const filterHeight = convInfo.filterHeight;\n    const filterWidth = convInfo.filterWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const avgMultiplier = 1 / (filterDepth * filterHeight * filterWidth);\n\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins.\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel;\n                  }\n                }\n              }\n              dx.set(\n                  dotProd * avgMultiplier, batch, dxDepth, dxRow, dxCol,\n                  channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  maxPool3d(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex(x, 'maxPool3d');\n\n    return this.pool3d(x, convInfo, 'max').toFloat();\n  }\n\n  private maxPool3dPositions(x: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    const maxPositions = ops.buffer(convInfo.outShape, 'int32');\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = convInfo.padInfo.front;\n    const padTop = convInfo.padInfo.top;\n    const padLeft = convInfo.padInfo.left;\n\n    const xBuf = this.bufferSync(x);\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let yDepth = 0; yDepth < convInfo.outDepth; ++yDepth) {\n          const xDepthCorner = yDepth * strideDepth - padFront;\n          let xDepthMin = xDepthCorner;\n          while (xDepthMin < 0) {\n            xDepthMin += dilationDepth;\n          }\n          const xDepthMax =\n              Math.min(convInfo.inDepth, effectiveFilterDepth + xDepthCorner);\n          for (let yRow = 0; yRow < convInfo.outHeight; ++yRow) {\n            const xRowCorner = yRow * strideHeight - padTop;\n            let xRowMin = xRowCorner;\n            while (xRowMin < 0) {\n              xRowMin += dilationHeight;\n            }\n            const xRowMax =\n                Math.min(convInfo.inHeight, effectiveFilterHeight + xRowCorner);\n            for (let yCol = 0; yCol < convInfo.outWidth; ++yCol) {\n              const xColCorner = yCol * strideWidth - padLeft;\n              let xColMin = xColCorner;\n              while (xColMin < 0) {\n                xColMin += dilationWidth;\n              }\n              const xColMax =\n                  Math.min(convInfo.inWidth, effectiveFilterWidth + xColCorner);\n\n              // Shader code begins\n              let maxValue = Number.NEGATIVE_INFINITY;\n              let maxPosition = -1;\n\n              for (let xDepth = xDepthMin; xDepth < xDepthMax;\n                   xDepth += dilationDepth) {\n                const wDepth = xDepth - xDepthCorner;\n                for (let xRow = xRowMin; xRow < xRowMax;\n                     xRow += dilationHeight) {\n                  const wRow = xRow - xRowCorner;\n                  for (let xCol = xColMin; xCol < xColMax;\n                       xCol += dilationWidth) {\n                    const wCol = xCol - xColCorner;\n                    const pixel = xBuf.get(batch, xDepth, xRow, xCol, channel);\n                    if (pixel >= maxValue) {\n                      maxValue = pixel;\n                      maxPosition = wDepth * effectiveFilterHeight *\n                              effectiveFilterWidth +\n                          wRow * effectiveFilterHeight + wCol;\n                    }\n                  }\n                }\n              }\n\n              maxPositions.set(maxPosition, batch, yDepth, yRow, yCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return maxPositions.toTensor() as Tensor5D;\n  }\n\n  maxPool3dBackprop(\n      dy: Tensor5D, x: Tensor5D, y: Tensor5D, convInfo: Conv3DInfo): Tensor5D {\n    assertNotComplex([x, y], 'maxPool3dBackprop');\n\n    const maxPositions = this.maxPool3dPositions(x, convInfo);\n    const strideDepth = convInfo.strideDepth;\n    const strideHeight = convInfo.strideHeight;\n    const strideWidth = convInfo.strideWidth;\n    const dilationDepth = convInfo.dilationDepth;\n    const dilationHeight = convInfo.dilationHeight;\n    const dilationWidth = convInfo.dilationWidth;\n    const effectiveFilterDepth = convInfo.effectiveFilterDepth;\n    const effectiveFilterHeight = convInfo.effectiveFilterHeight;\n    const effectiveFilterWidth = convInfo.effectiveFilterWidth;\n    const padFront = effectiveFilterDepth - 1 - convInfo.padInfo.front;\n    const padLeft = effectiveFilterWidth - 1 - convInfo.padInfo.left;\n    const padTop = effectiveFilterHeight - 1 - convInfo.padInfo.top;\n    const dx = ops.buffer<Rank.R5>(x.shape, 'float32');\n\n    const maxPosBuf = this.bufferSync(maxPositions);\n    const dyBuf = this.bufferSync(dy);\n\n    for (let batch = 0; batch < convInfo.batchSize; ++batch) {\n      for (let channel = 0; channel < convInfo.inChannels; ++channel) {\n        for (let dxDepth = 0; dxDepth < convInfo.inDepth; ++dxDepth) {\n          for (let dxRow = 0; dxRow < convInfo.inHeight; ++dxRow) {\n            for (let dxCol = 0; dxCol < convInfo.inWidth; ++dxCol) {\n              // Shader code begins\n              const dyDepthCorner = dxDepth - padFront;\n              const dyRowCorner = dxRow - padTop;\n              const dyColCorner = dxCol - padLeft;\n              let dotProd = 0;\n              for (let wDepth = 0; wDepth < effectiveFilterDepth;\n                   wDepth += dilationDepth) {\n                const dyDepth = (dyDepthCorner + wDepth) / strideDepth;\n                if (dyDepth < 0 || dyDepth >= convInfo.outDepth ||\n                    Math.floor(dyDepth) !== dyDepth) {\n                  continue;\n                }\n                for (let wRow = 0; wRow < effectiveFilterHeight;\n                     wRow += dilationHeight) {\n                  const dyRow = (dyRowCorner + wRow) / strideHeight;\n                  if (dyRow < 0 || dyRow >= convInfo.outHeight ||\n                      Math.floor(dyRow) !== dyRow) {\n                    continue;\n                  }\n                  for (let wCol = 0; wCol < effectiveFilterWidth;\n                       wCol += dilationWidth) {\n                    const dyCol = (dyColCorner + wCol) / strideWidth;\n                    if (dyCol < 0 || dyCol >= convInfo.outWidth ||\n                        Math.floor(dyCol) !== dyCol) {\n                      continue;\n                    }\n\n                    const maxPos = effectiveFilterDepth *\n                            effectiveFilterHeight * effectiveFilterWidth -\n                        1 -\n                        maxPosBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    const curPos =\n                        wDepth * effectiveFilterHeight * effectiveFilterWidth +\n                        wRow * effectiveFilterWidth + wCol;\n\n                    const mask = maxPos === curPos ? 1 : 0;\n                    if (mask === 0) {\n                      continue;\n                    }\n\n                    const pixel =\n                        dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);\n                    dotProd += pixel * mask;\n                  }\n                }\n              }\n              dx.set(dotProd, batch, dxDepth, dxRow, dxCol, channel);\n            }\n          }\n        }\n      }\n    }\n    return dx.toTensor();\n  }\n\n  cast<T extends Tensor>(x: T, dtype: DataType): T {\n    return backend_util.castTensor(x, dtype, this);\n  }\n\n  reshape<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    return backend_util.reshapeTensor(x, shape);\n  }\n\n  avgPool(x: Tensor4D, convInfo: Conv2DInfo): Tensor4D {\n    assertNotComplex(x, 'avgPool');\n    assertNotComplex(x, 'maxPool');\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    return pool(xValues, x.shape, x.dtype, x.strides, convInfo, 'avg')\n               .toTensor()\n               .toFloat() as Tensor4D;\n  }\n\n  resizeBilinear(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeBilinear');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result = new Float32Array(\n        util.sizeFromShape([batch, newHeight, newWidth, numChannels]));\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n    let outputIdx = 0;\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n    for (let b = 0; b < batch; b++) {\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceRowFloor = Math.floor(sourceFracRow);\n        const rowFrac = sourceFracRow - sourceRowFloor;\n        const sourceRowCeil = Math.min(oldHeight - 1, Math.ceil(sourceFracRow));\n        const topRowOffset = b * x.strides[0] + sourceRowFloor * x.strides[1];\n        const botRowOffset = b * x.strides[0] + sourceRowCeil * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceColFloor = Math.floor(sourceFracCol);\n          const colFrac = sourceFracCol - sourceColFloor;\n          const sourceColCeil =\n              Math.min(oldWidth - 1, Math.ceil(sourceFracCol));\n          const topLeftOffest = topRowOffset + sourceColFloor * x.strides[2];\n          const botLeftOffset = botRowOffset + sourceColFloor * x.strides[2];\n          const topRightOffset = topRowOffset + sourceColCeil * x.strides[2];\n          const botRightOffest = botRowOffset + sourceColCeil * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n\n            // Compute the fractional index of the source.\n            const topLeft = xValues[topLeftOffest + d];\n            const bottomLeft = xValues[botLeftOffset + d];\n            const topRight = xValues[topRightOffset + d];\n            const bottomRight = xValues[botRightOffest + d];\n\n            const top = topLeft + (topRight - topLeft) * colFrac;\n            const bottom = bottomLeft + (bottomRight - bottomLeft) * colFrac;\n            const newValue = top + (bottom - top) * rowFrac;\n\n            result[outputIdx++] = newValue;\n          }\n        }\n      }\n    }\n    return ops.tensor(result, [batch, newHeight, newWidth, numChannels]);\n  }\n\n  resizeBilinearBackprop(dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeBilinearBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass and add the\n    // corresponding coefficient from dy to the gradient (with some\n    // interpolation).\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/3039375c86a5bbc9610c7725dcaa95d635f87ba2/tensorflow/core/kernels/resize_bilinear_op.cc#L275\n\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    let offset = 0;\n    for (let b = 0; b < batch; b++) {\n      const bOffset = b * x.strides[0];\n      for (let r = 0; r < yHeight; r++) {\n        const dxR = r * heightScale;\n        const topDxRIndex = Math.floor(dxR);\n        const bottomDxRIndex = Math.min(Math.ceil(dxR), xHeight - 1);\n\n        const topDxROffset = bOffset + topDxRIndex * x.strides[1];\n        const bottomDxROffset = bOffset + bottomDxRIndex * x.strides[1];\n\n        const dxRLerp = dxR - topDxRIndex;\n        const inverseDxRLerp = 1.0 - dxRLerp;\n        for (let c = 0; c < yWidth; c++) {\n          const dxC = c * widthScale;\n          const leftDxCIndex = Math.floor(dxC);\n          const rightDxCIndex = Math.min(Math.ceil(dxC), xWidth - 1);\n          const dxCLerp = dxC - leftDxCIndex;\n          const inverseDxCLerp = 1.0 - dxCLerp;\n\n          const topLeftRCOffset = topDxROffset + leftDxCIndex * x.strides[2];\n          const topRightRCOffset = topDxROffset + rightDxCIndex * x.strides[2];\n          const bottomLeftRCOffset =\n              bottomDxROffset + leftDxCIndex * x.strides[2];\n          const bottomRightRCOffset =\n              bottomDxROffset + rightDxCIndex * x.strides[2];\n\n          const inverseDxRLerpTimesInverseDxCLerp =\n              inverseDxRLerp * inverseDxCLerp;\n          const inverseDxRLerpTimesDxCLerp = inverseDxRLerp * dxCLerp;\n          const dxRLerpTimesInverseDxCLerp = dxRLerp * inverseDxCLerp;\n          const dxRLerpTimesDxCLerp = dxRLerp * dxCLerp;\n          for (let d = 0; d < depth; d++) {\n            const dyVal = dyValues[offset++];\n            output[topLeftRCOffset + d] +=\n                dyVal * inverseDxRLerpTimesInverseDxCLerp;\n            output[topRightRCOffset + d] += dyVal * inverseDxRLerpTimesDxCLerp;\n            output[bottomLeftRCOffset + d] +=\n                dyVal * dxRLerpTimesInverseDxCLerp;\n            output[bottomRightRCOffset + d] += dyVal * dxRLerpTimesDxCLerp;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, [batch, xWidth, xHeight, depth], x.dtype);\n  }\n\n  resizeNearestNeighbor(\n      x: Tensor4D, newHeight: number, newWidth: number,\n      alignCorners: boolean): Tensor4D {\n    assertNotComplex(x, 'resizeNearestNeighbor');\n\n    const [batch, oldHeight, oldWidth, numChannels] = x.shape;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const output = new Float32Array(batch * newHeight * newWidth * numChannels);\n\n    const effectiveInputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? oldHeight - 1 : oldHeight,\n      (alignCorners && newWidth > 1) ? oldWidth - 1 : oldWidth\n    ];\n\n    const effectiveOutputSize: [number, number] = [\n      (alignCorners && newHeight > 1) ? newHeight - 1 : newHeight,\n      (alignCorners && newWidth > 1) ? newWidth - 1 : newWidth\n    ];\n\n    const effectiveRowSizeRatio =\n        effectiveInputSize[0] / effectiveOutputSize[0];\n    const effectiveColSizeRatio =\n        effectiveInputSize[1] / effectiveOutputSize[1];\n\n    let outputOffset = 0;\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < newHeight; r++) {\n        const sourceFracRow = effectiveRowSizeRatio * r;\n        const sourceNearestRow = Math.min(\n            oldHeight - 1,\n            alignCorners ? Math.round(sourceFracRow) :\n                           Math.floor(sourceFracRow));\n        const rowOffset = batchOffset + sourceNearestRow * x.strides[1];\n        for (let c = 0; c < newWidth; c++) {\n          const sourceFracCol = effectiveColSizeRatio * c;\n          const sourceNearestCol = Math.min(\n              oldWidth - 1,\n              alignCorners ? Math.round(sourceFracCol) :\n                             Math.floor(sourceFracCol));\n          const colOffset = rowOffset + sourceNearestCol * x.strides[2];\n          for (let d = 0; d < numChannels; d++) {\n            // Begin shader.\n            // Compute the fractional index of the source.\n            const newVal = xValues[colOffset + d];\n            output[outputOffset++] = newVal;\n          }\n        }\n      }\n    }\n    return ops.tensor(\n        output, [batch, newHeight, newWidth, numChannels], x.dtype);\n  }\n\n  resizeNearestNeighborBackprop(\n      dy: Tensor4D, x: Tensor4D, alignCorners: boolean) {\n    assertNotComplex([dy, x], 'resizeNearestNeighborBackprop');\n\n    const [batch, xHeight, xWidth, depth] = x.shape;\n    const [, yHeight, yWidth] = dy.shape;\n\n    const output = new Float32Array(batch * xHeight * xWidth * depth);\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n\n    // In the backwards pass, we want to find the pixels that were generated\n    // for each pixel in the input image the forward pass\n\n    const effectiveXSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? xHeight - 1 : xHeight,\n      (alignCorners && yWidth > 1) ? xWidth - 1 : xWidth\n    ];\n\n    const effectiveYSize: [number, number] = [\n      (alignCorners && yHeight > 1) ? yHeight - 1 : yHeight,\n      (alignCorners && yWidth > 1) ? yWidth - 1 : yWidth\n    ];\n\n    const heightScale = effectiveXSize[0] / effectiveYSize[0];\n    const widthScale = effectiveXSize[1] / effectiveYSize[1];\n\n    const invHeightScale = 1 / heightScale;\n    const invWidthScale = 1 / widthScale;\n\n    // This defines the size of the window of values around a particular\n    // index in dy that we want to search for contributions to dx.\n    const winHeight = (Math.ceil(invHeightScale) * 2) + 2;\n    const winWidth = (Math.ceil(invWidthScale) * 2) + 2;\n\n    // Loop over the output space.\n    for (let b = 0; b < batch; b++) {\n      const batchOffset = b * x.strides[0];\n      for (let r = 0; r < xHeight; r++) {\n        const rowOffset = batchOffset + r * x.strides[1];\n\n        // Compute bounds for where in dy we will look\n        const startRLerp = Math.floor(r * invHeightScale);\n        const startDyR = Math.floor(startRLerp - (winHeight / 2));\n        for (let c = 0; c < xWidth; c++) {\n          const colOffset = rowOffset + c * x.strides[2];\n\n          // Compute bounds for where in dy we will look\n          const startCLerp = Math.floor(c * invWidthScale);\n          const startDyC = Math.floor(startCLerp - (winWidth / 2));\n\n          for (let d = 0; d < depth; d++) {\n            let accum = 0;\n            // loop over dy\n\n            for (let dyRIndex = 0; dyRIndex < winHeight; dyRIndex++) {\n              const dyR = dyRIndex + startDyR;\n              // Guard against the window exceeding the bounds of dy\n              if (dyR < 0 || dyR >= yHeight) {\n                continue;\n              }\n\n              const dyROffset = batchOffset + dyR * dy.strides[1];\n              const sourceFracRow = dyR * heightScale;\n              const sourceNearestRow = Math.min(\n                  xHeight - 1,\n                  alignCorners ? Math.round(sourceFracRow) :\n                                 Math.floor(sourceFracRow));\n              if (r !== sourceNearestRow) {\n                continue;\n              }\n              for (let dyCIndex = 0; dyCIndex < winWidth; dyCIndex++) {\n                const dyC = dyCIndex + startDyC;\n                // Guard against the window exceeding the bounds of dy\n                if (dyC < 0 || dyC >= yWidth) {\n                  continue;\n                }\n\n                const dyCOffset = dyROffset + dyC * dy.strides[2];\n                const sourceFracCol = dyC * widthScale;\n                const sourceNearestCol = Math.min(\n                    xWidth - 1,\n                    alignCorners ? Math.round(sourceFracCol) :\n                                   Math.floor(sourceFracCol));\n\n                if (c === sourceNearestCol) {\n                  accum += dyValues[dyCOffset + d];\n                }\n              }\n            }\n            output[colOffset + d] = accum;\n          }\n        }\n      }\n    }\n    return ops.tensor4d(output, x.shape, x.dtype);\n  }\n\n  batchNormalization(\n      x: Tensor4D, mean: Tensor4D|Tensor1D, variance: Tensor4D|Tensor1D,\n      varianceEpsilon: number, scale?: Tensor4D|Tensor1D,\n      offset?: Tensor4D|Tensor1D): Tensor4D {\n    assertNotComplex([x, mean, variance, scale, offset], 'batchNorm');\n\n    const xVals = this.readSync(x.dataId) as TypedArray;\n    const mVals = this.readSync(mean.dataId) as TypedArray;\n    const varVals = this.readSync(variance.dataId) as TypedArray;\n    const sVals = scale ? this.readSync(scale.dataId) as TypedArray :\n                          new Float32Array([1]);\n    const offVals = offset ? this.readSync(offset.dataId) as TypedArray :\n                             new Float32Array([0]);\n    const outVals = new Float32Array(xVals.length);\n\n    const offValsLength = offVals.length;\n    const sValsLength = sVals.length;\n    const varValsLength = varVals.length;\n    const mValsLength = mVals.length;\n\n    let offi = 0;\n    let mi = 0;\n    let si = 0;\n    let vi = 0;\n    for (let i = 0; i < xVals.length; ++i) {\n      outVals[i] = offVals[offi++] +\n          (xVals[i] - mVals[mi++]) * sVals[si++] /\n              Math.sqrt(varVals[vi++] + varianceEpsilon);\n      if (offi >= offValsLength) {\n        offi = 0;\n      }\n      if (mi >= mValsLength) {\n        mi = 0;\n      }\n      if (si >= sValsLength) {\n        si = 0;\n      }\n      if (vi >= varValsLength) {\n        vi = 0;\n      }\n    }\n    return tensor4d(outVals, x.shape);\n  }\n\n  localResponseNormalization4D(\n      x: Tensor4D, depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(x, 'localResponseNormalization4D');\n\n    const channels = x.shape[3];\n    const maxD = channels - 1;\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const size = x.size;\n    const result = new Float32Array(size);\n\n    function sumAcrossChannels(offset: number) {\n      const currentChannel = offset % channels;\n      let beginSumOffset =\n          offset - currentChannel + Math.max(0, currentChannel - depthRadius);\n      const endSumOffset = offset - currentChannel +\n          Math.min(currentChannel + depthRadius, maxD);\n\n      let sum = 0.0;\n      for (; beginSumOffset <= endSumOffset; beginSumOffset++) {\n        const z = xValues[beginSumOffset];\n        sum += z * z;\n      }\n      return sum;\n    }\n\n    for (let offset = 0; offset < size; offset++) {\n      const sum = sumAcrossChannels(offset);\n      const val = xValues[offset] * Math.pow(bias + alpha * sum, -beta);\n      result[offset] = val;\n    }\n\n    return ops.tensor4d(result, x.shape);\n  }\n\n  LRNGrad(\n      dy: Tensor4D, inputImage: Tensor4D, outputImage: Tensor4D,\n      depthRadius: number, bias: number, alpha: number,\n      beta: number): Tensor4D {\n    assertNotComplex(dy, 'LRNGrad');\n    const channels = dy.shape[3];\n    const dyValues = this.readSync(dy.dataId) as TypedArray;\n    const inputImageValues = this.readSync(inputImage.dataId) as TypedArray;\n    const outputImageValues = this.readSync(outputImage.dataId) as TypedArray;\n    const result = new Float32Array(dy.size);\n    const size = dy.size;\n\n    for (let offset = 0; offset < size; offset++) {\n      const currentChannel = offset % channels;\n      const depthBegin =\n          (offset - currentChannel) + Math.max(0, currentChannel - depthRadius);\n      const depthEnd = (offset - currentChannel) +\n          Math.min(channels, currentChannel + depthRadius + 1);\n\n      let norm = 0;\n      for (let k = depthBegin; k < depthEnd; k++) {\n        norm += Math.pow(inputImageValues[k], 2);\n      }\n      norm = alpha * norm + bias;\n\n      for (let k = depthBegin; k < depthEnd; k++) {\n        let dyi = -2 * alpha * beta * inputImageValues[k] *\n            outputImageValues[offset] / norm;\n        if (offset === k) {\n          dyi += Math.pow(norm, -beta);\n        }\n        dyi *= dyValues[offset];\n        result[k] += dyi;\n      }\n    }\n    return ops.tensor4d(result, dy.shape);\n  }\n\n  multinomial(\n      logits: Tensor2D, normalized: boolean, numSamples: number,\n      seed: number): Tensor2D {\n    assertNotComplex(logits, 'multinomial');\n\n    const probabilities = normalized ? logits : ops.softmax(logits);\n    const batchSize = probabilities.shape[0];\n    const numEvents = probabilities.shape[1];\n    const res = ops.zeros<Rank.R2>([batchSize, numSamples], 'int32');\n    const resVals = this.readSync(res.dataId) as TypedArray;\n    const probVals = this.readSync(probabilities.dataId) as TypedArray;\n\n    for (let b = 0; b < batchSize; ++b) {\n      const offset = b * numEvents;\n      // The cdf won't include the last event. It will be implicit if no other\n      // event happened.\n      const cdf = new Float32Array(numEvents - 1);\n      cdf[0] = probVals[offset];\n      for (let event = 1; event < cdf.length; ++event) {\n        cdf[event] = cdf[event - 1] + probVals[offset + event];\n      }\n\n      const random = seedrandom.alea(seed.toString());\n      const outOffset = b * numSamples;\n      for (let sampleId = 0; sampleId < numSamples; ++sampleId) {\n        const r = random();\n\n        // Assume last event happened by default.\n        resVals[outOffset + sampleId] = cdf.length;\n\n        for (let event = 0; event < cdf.length; event++) {\n          if (r < cdf[event]) {\n            resVals[outOffset + sampleId] = event;\n            break;\n          }\n        }\n      }\n    }\n    return res;\n  }\n\n  oneHot(indices: Tensor1D, depth: number, onValue: number, offValue: number):\n      Tensor2D {\n    assertNotComplex(indices, 'oneHot');\n\n    const res = new Float32Array(indices.size * depth);\n    res.fill(offValue);\n    const indicesVal = this.readSync(indices.dataId) as TypedArray;\n\n    for (let event = 0; event < indices.size; ++event) {\n      if (indicesVal[event] >= 0 && indicesVal[event] < depth) {\n        res[event * depth + indicesVal[event]] = onValue;\n      }\n    }\n    return ops.tensor2d(res, [indices.size, depth], 'int32');\n  }\n\n  nonMaxSuppression(\n      boxes: Tensor2D, scores: Tensor1D, maxOutputSize: number,\n      iouThreshold: number, scoreThreshold: number): Tensor1D {\n    assertNotComplex(boxes, 'nonMaxSuppression');\n\n    const boxesVals = this.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = this.readSync(scores.dataId) as TypedArray;\n    return nonMaxSuppressionV3(\n        boxesVals, scoresVals, maxOutputSize, iouThreshold, scoreThreshold);\n  }\n\n  fft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, false);\n  }\n\n  ifft(x: Tensor2D): Tensor2D {\n    return this.fftBatch(x, true);\n  }\n\n  /**\n   * Calculate FFT of inner most elements of batch tensor.\n   */\n  private fftBatch(x: Tensor2D, inverse: boolean): Tensor2D {\n    const batch = x.shape[0];\n    const innerDim = x.shape[1];\n    // Collects real and imaginary values separately.\n    const realResult = ops.buffer(x.shape, 'float32');\n    const imagResult = ops.buffer(x.shape, 'float32');\n\n    const real = ops.real(x).as2D(batch, innerDim);\n    const imag = ops.imag(x).as2D(batch, innerDim);\n\n    for (let b = 0; b < batch; b++) {\n      // TODO: Support slice ops for complex type.\n      const r = real.slice([b, 0], [1, innerDim]);\n      const i = imag.slice([b, 0], [1, innerDim]);\n      const input = ops.complex(r, i);\n      // Run FFT by batch element.\n      const res =\n          this.readSync(this.fftImpl(input, inverse).dataId) as Float32Array;\n      for (let d = 0; d < innerDim; d++) {\n        const c = complex_util.getComplexWithIndex(res, d);\n        realResult.values[b * innerDim + d] = c.real;\n        imagResult.values[b * innerDim + d] = c.imag;\n      }\n    }\n\n    const t = ops.complex(realResult.toTensor(), imagResult.toTensor());\n    return t.as2D(batch, innerDim);\n  }\n\n  private fftImpl(x: Tensor2D, inverse: boolean): Tensor2D {\n    const x1D = x.as1D();\n\n    const n = x1D.size;\n\n    if (this.isExponentOf2(n)) {\n      let result = this.fftRadix2(x1D, n, inverse).as2D(x.shape[0], x.shape[1]);\n      if (inverse) {\n        result = ops.complex(\n                     ops.real(result).div(scalar(n)),\n                     ops.imag(result).div(scalar(n))) as Tensor2D;\n      }\n      return result;\n    } else {\n      const data = this.readSync(x.dataId) as TypedArray;\n      const rawOutput =\n          this.fourierTransformByMatmul(data, n, inverse) as Float32Array;\n      const output = complex_util.splitRealAndImagArrays(rawOutput);\n      return ops.complex(output.real, output.imag).as2D(x.shape[0], x.shape[1]);\n    }\n  }\n\n  private isExponentOf2(size: number): boolean {\n    return (size & size - 1) === 0;\n  }\n\n  // FFT using Cooley-Tukey algorithm on radix 2 dimensional input.\n  private fftRadix2(input: Tensor1D, size: number, inverse: boolean): Tensor1D {\n    if (size === 1) {\n      return input;\n    }\n    const data = this.readSync(input.dataId) as TypedArray as Float32Array;\n    const half = size / 2;\n    const evenComplex = complex_util.complexWithEvenIndex(data);\n    let evenTensor = ops.complex(evenComplex.real, evenComplex.imag).as1D();\n    const oddComplex = complex_util.complexWithOddIndex(data);\n    let oddTensor = ops.complex(oddComplex.real, oddComplex.imag).as1D();\n\n    // Recursive call for half part of original input.\n    evenTensor = this.fftRadix2(evenTensor, half, inverse);\n    oddTensor = this.fftRadix2(oddTensor, half, inverse);\n\n    const e = complex_util.exponents(size, inverse);\n    const exponent = ops.complex(e.real, e.imag).mul(oddTensor);\n\n    const addPart = evenTensor.add(exponent);\n    const subPart = evenTensor.sub(exponent);\n\n    const realTensor = ops.real(addPart).concat(ops.real(subPart));\n    const imagTensor = ops.imag(addPart).concat(ops.imag(subPart));\n\n    return ops.complex(realTensor, imagTensor).as1D();\n  }\n\n  // Calculate fourier transform by multplying sinusoid matrix.\n  private fourierTransformByMatmul(\n      data: TypedArray, size: number, inverse: boolean): TypedArray {\n    const ret = new Float32Array(size * 2);\n    // TODO: Use matmul instead once it supports complex64 type.\n    for (let r = 0; r < size; r++) {\n      let real = 0.0;\n      let imag = 0.0;\n      for (let c = 0; c < size; c++) {\n        const e = complex_util.exponent(r * c, size, inverse);\n        const term = complex_util.getComplexWithIndex(data as Float32Array, c);\n        real += term.real * e.real - term.imag * e.imag;\n        imag += term.real * e.imag + term.imag * e.real;\n      }\n      if (inverse) {\n        real /= size;\n        imag /= size;\n      }\n      complex_util.assignToTypedArray(ret, real, imag, r);\n    }\n    return ret;\n  }\n\n  depthToSpace(x: Tensor4D, blockSize: number, dataFormat: 'NHWC'|'NCHW'):\n      Tensor4D {\n    util.assert(\n        dataFormat === 'NHWC',\n        () => `Only NHWC dataFormat supported on CPU for depthToSpace. Got ${\n            dataFormat}`);\n    util.assert(\n        blockSize > 1,\n        () =>\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n\n    const batchSize = x.shape[0];\n    const inputHeight = x.shape[1];\n    const inputWidth = x.shape[2];\n    const inputDepth = x.shape[3];\n\n    const outputHeight = inputHeight * blockSize;\n    const outputWidth = inputWidth * blockSize;\n    const outputDepth = inputDepth / (blockSize * blockSize);\n\n    const xValues = this.readSync(x.dataId) as TypedArray;\n    const result =\n        new Float32Array(batchSize * outputHeight * outputWidth * outputDepth);\n\n    let outputIdx = 0;\n    for (let b = 0; b < batchSize; ++b) {\n      for (let h = 0; h < outputHeight; ++h) {\n        const inH = Math.floor(h / blockSize);\n        const offsetH = (h % blockSize);\n        for (let w = 0; w < outputWidth; ++w) {\n          const inW = Math.floor(w / blockSize);\n          const offsetW = (w % blockSize);\n          const offsetD = (offsetH * blockSize + offsetW) * outputDepth;\n          for (let d = 0; d < outputDepth; ++d) {\n            const inD = d + offsetD;\n            const inputIdx =\n                inD + inputDepth * (inW + inputWidth * (inH + inputHeight * b));\n            result[outputIdx++] = xValues[inputIdx];\n          }\n        }\n      }\n    }\n    return ops.tensor4d(\n        result, [batchSize, outputHeight, outputWidth, outputDepth]);\n  }\n\n  private broadcastedBinaryOp(\n      a: Tensor, b: Tensor, dtype: DataType,\n      op: (a: number, b: number) => number): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const result = ops.buffer(newShape, dtype);\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const resVals = result.values;\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < resVals.length; ++i) {\n        resVals[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      const aBuf = this.bufferSync(a);\n      const bBuf = this.bufferSync(b);\n      for (let i = 0; i < resVals.length; ++i) {\n        const loc = result.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bBuf.locToIndex(bLoc);\n\n        resVals[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n    return result.toTensor();\n  }\n\n  private broadcastedBinaryComplexOp(\n      a: Tensor, b: Tensor,\n      op:\n          (aReal: number, aImag: number, bReal: number,\n           bImag: number) => {real: number, imag: number}): Tensor {\n    const newShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const realResult = ops.buffer(newShape, 'float32');\n    const imagResult = ops.buffer(newShape, 'float32');\n\n    const aVals = this.readSync(a.dataId) as TypedArray;\n    const bVals = this.readSync(b.dataId) as TypedArray;\n    const aBroadcastDims = broadcast_util.getBroadcastDims(a.shape, newShape);\n    const bBroadcastDims = broadcast_util.getBroadcastDims(b.shape, newShape);\n\n    const realVals = realResult.values;\n    const imagVals = imagResult.values;\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < realVals.length; i++) {\n        const aIdx = i % aVals.length;\n        const bIdx = i % bVals.length;\n\n        const result =\n            op(aVals[aIdx * 2], aVals[aIdx * 2 + 1], bVals[bIdx * 2],\n               bVals[bIdx * 2 + 1]);\n\n        realVals[i] = result.real;\n        imagVals[i] = result.imag;\n      }\n    } else {\n      const aRealBuf =\n          this.bufferSync(this.data.get(a.dataId).complexTensors.real);\n      const bRealBuf =\n          this.bufferSync(this.data.get(b.dataId).complexTensors.real);\n      for (let i = 0; i < realVals.length; i++) {\n        const loc = realResult.indexToLoc(i);\n\n        const aLoc = loc.slice(-a.rank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = aRealBuf.locToIndex(aLoc);\n\n        const bLoc = loc.slice(-b.rank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = bRealBuf.locToIndex(bLoc);\n\n        const opResult =\n            op(aVals[aIndex * 2], aVals[aIndex * 2 + 1], bVals[bIndex * 2],\n               bVals[bIndex * 2 + 1]);\n\n        realVals[i] = opResult.real;\n        imagVals[i] = opResult.imag;\n      }\n    }\n    return this.complex(realResult.toTensor(), imagResult.toTensor());\n  }\n\n  split<T extends Tensor>(x: T, sizeSplits: number[], axis: number): T[] {\n    return split(x, sizeSplits, axis);\n  }\n\n  dispose() {}\n\n  floatPrecision(): 16|32 {\n    return 32;\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return EPSILON_FLOAT32;\n  }\n\n  cropAndResize(\n      images: Tensor4D,\n      boxes: Tensor2D,\n      boxIndex: Tensor1D,\n      cropSize: [number, number],\n      method: string,\n      extrapolationValue: number,\n  ) {\n    const [batch, imageHeight, imageWidth, numChannels] = images.shape;\n    const numBoxes = boxes.shape[0];\n\n    const [cropHeight, cropWidth] = cropSize;\n    const output =\n        ops.buffer([numBoxes, cropHeight, cropWidth, numChannels], 'float32');\n\n    const boxVals = this.readSync(boxes.dataId) as TypedArray;\n    const boxIndVals = this.readSync(boxIndex.dataId) as TypedArray;\n    const imageVals = this.readSync(images.dataId) as TypedArray;\n\n    const inStride = images.strides;   // to calculate flat indexes into image\n    const outStride = output.strides;  // to calculate flat indexes into output\n\n    // Reference implementation\n    // tslint:disable-next-line:max-line-length\n    // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/crop_and_resize_op.cc\n    for (let b = 0; b < numBoxes; b++) {\n      const startInd = b * 4;\n      const y1 = boxVals[startInd];\n      const x1 = boxVals[startInd + 1];\n      const y2 = boxVals[startInd + 2];\n      const x2 = boxVals[startInd + 3];\n\n      const bInd: number = boxIndVals[b];\n      if (bInd >= batch) {\n        continue;\n      }\n\n      const heightScale = (cropHeight > 1) ?\n          (y2 - y1) * (imageHeight - 1) / (cropHeight - 1) :\n          0;\n      const widthScale =\n          (cropWidth > 1) ? (x2 - x1) * (imageWidth - 1) / (cropWidth - 1) : 0;\n\n      for (let y = 0; y < cropHeight; y++) {\n        const yInd: number = (cropHeight > 1) ?\n            y1 * (imageHeight - 1) + y * (heightScale) :\n            0.5 * (y1 + y2) * (imageHeight - 1);\n\n        if (yInd < 0 || yInd > imageHeight - 1) {\n          for (let x = 0; x < cropWidth; x++) {\n            for (let c = 0; c < numChannels; c++) {\n              const ind =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = extrapolationValue;\n            }\n          }\n          continue;\n        }\n\n        if (method === 'bilinear') {\n          const topInd = Math.floor(yInd);\n          const bottomInd = Math.ceil(yInd);\n          const yLerp = yInd - topInd;\n\n          for (let x = 0; x < cropWidth; x++) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const leftInd = Math.floor(xInd);\n            const rightInd = Math.ceil(xInd);\n            const xLerp = xInd - leftInd;\n\n            for (let c = 0; c < numChannels; c++) {\n              let ind = c + leftInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + topInd * inStride[1] +\n                  bInd * inStride[0];\n              const topRight = imageVals[ind];\n\n              ind = c + leftInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomLeft = imageVals[ind];\n\n              ind = c + rightInd * inStride[2] + bottomInd * inStride[1] +\n                  bInd * inStride[0];\n              const bottomRight = imageVals[ind];\n\n              const top = topLeft + (topRight - topLeft) * xLerp;\n              const bottom = bottomLeft + (bottomRight - bottomLeft) * xLerp;\n\n              ind = c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[ind] = top + ((bottom - top) * yLerp);\n            }\n          }\n        } else {  // method == \"nearest\"\n          for (let x = 0; x < cropWidth; ++x) {\n            const xInd = (cropWidth > 1) ?\n                x1 * (imageWidth - 1) + x * widthScale :\n                0.5 * (x1 + x2) * (imageWidth - 1);\n\n            if (xInd < 0 || xInd > imageWidth - 1) {\n              for (let c = 0; c < numChannels; c++) {\n                const ind =\n                    c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n                output.values[ind] = extrapolationValue;\n              }\n              continue;\n            }\n\n            const closestX = Math.round(xInd);\n            const closestY = Math.round(yInd);\n            for (let c = 0; c < numChannels; c++) {\n              const inInd = c + closestX * inStride[2] +\n                  closestY * inStride[1] + bInd * inStride[0];\n              const outInd =\n                  c + x * outStride[2] + y * outStride[1] + b * outStride[0];\n              output.values[outInd] = imageVals[inInd];\n            }\n          }\n        }\n      }\n    }\n    return output.toTensor() as Tensor4D;\n  }\n\n  sparseToDense<R extends Rank>(\n      sparseIndices: Tensor, sparseValues: Tensor, outputShape: ShapeMap[R],\n      defaultValue: Scalar): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(\n            sparseValues, sparseIndices, outputShape);\n    const sumDupeIndices = false;\n    return this.scatter(\n        sparseIndices, sparseValues, outputShape, outputSize, sliceSize,\n        numUpdates, sliceRank, strides, defaultValue, sumDupeIndices);\n  }\n\n  gatherND(x: Tensor, indices: Tensor): Tensor {\n    const indicesShape = indices.shape;\n    const sliceRank = indicesShape[indicesShape.length - 1];\n\n    const [resultShape, numSlices, sliceSize, strides] =\n        gather_nd_util.prepareAndValidate(x, indices);\n    if (numSlices === 0) {\n      return tensor([], resultShape, x.dtype);\n    }\n\n    const buffer = new TensorBuffer([numSlices, sliceSize], x.dtype);\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const xData = this.readSync(x.dataId) as TypedArray;\n\n    for (let i = 0; i < numSlices; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        flattenIndex += dim * strides[j];\n        index.push(dim);\n      }\n      if (flattenIndex < 0 || flattenIndex >= x.size / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${x.shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        buffer.values[i * sliceSize + k] = xData[flattenIndex * sliceSize + k];\n      }\n    }\n    return buffer.toTensor().reshape(resultShape);\n  }\n\n  scatterND<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R]): Tensor<R> {\n    const {sliceRank, numUpdates, sliceSize, strides, outputSize} =\n        scatter_nd_util.calculateShapes(updates, indices, shape);\n    const defaultValue = scalar(0);\n    const sumDupeIndices = true;\n    return this.scatter(\n        indices, updates, shape, outputSize, sliceSize, numUpdates, sliceRank,\n        strides, defaultValue, sumDupeIndices);\n  }\n\n  fill<R extends Rank>(\n      shape: ShapeMap[R], value: number|string, dtype?: DataType): Tensor<R> {\n    dtype = dtype || inferDtype(value);\n    const values = getArrayFromDType(dtype, sizeFromShape(shape)) as TypedArray;\n    values.fill(value as number);\n    return ENGINE.makeTensor(values, shape, dtype, this) as Tensor<R>;\n  }\n\n  onesLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    if (x.dtype === 'string') {\n      throw new Error('onesLike is not supported for string tensors');\n    } else {\n      return this.fill(x.shape, 1, x.dtype);\n    }\n  }\n\n  zerosLike<R extends Rank>(x: Tensor<R>): Tensor<R> {\n    const values =\n        getArrayFromDType(x.dtype, sizeFromShape(x.shape)) as TypedArray;\n    return this.makeOutput(values, x.shape, x.dtype);\n  }\n\n  linspace(start: number, stop: number, num: number): Tensor1D {\n    return backend_util.linspaceImpl(start, stop, num);\n  }\n\n  private scatter<R extends Rank>(\n      indices: Tensor, updates: Tensor, shape: ShapeMap[R], outputSize: number,\n      sliceSize: number, numUpdates: number, sliceRank: number,\n      strides: number[], defaultValue: Scalar,\n      sumDupeIndices: boolean): Tensor<R> {\n    const flattenShape = [outputSize / sliceSize, sliceSize];\n\n    const indicesData = this.readSync(indices.dataId) as TypedArray;\n    const updatesData = this.readSync(updates.dataId) as TypedArray;\n\n    if (outputSize === 0) {\n      return tensor([], shape, updates.dtype);\n    }\n\n    const buffer = new TensorBuffer(flattenShape, updates.dtype as 'float32');\n    buffer.values.fill((this.readSync(defaultValue.dataId) as TypedArray)[0]);\n\n    for (let i = 0; i < numUpdates; i++) {\n      const index = [];\n      let flattenIndex = 0;\n      for (let j = 0; j < sliceRank; j++) {\n        const dim = indicesData[i * sliceRank + j];\n        index.push(dim);\n        flattenIndex += dim * strides[j];\n      }\n\n      if (flattenIndex < 0 || flattenIndex >= outputSize / sliceSize) {\n        throw new Error(\n            `Invalid indices: ${index} does not index into ${shape}`);\n      }\n\n      for (let k = 0; k < sliceSize; k++) {\n        if (sumDupeIndices) {\n          buffer.values[flattenIndex * sliceSize + k] +=\n              updatesData[i * sliceSize + k];\n        } else {\n          buffer.values[flattenIndex * sliceSize + k] = updates.rank === 0 ?\n              updatesData[0] :\n              updatesData[i * sliceSize + k];\n        }\n      }\n    }\n    return buffer.toTensor().reshape(shape);\n  }\n}\n\nENGINE.registerBackend('cpu', () => new MathBackendCPU(), 1 /* priority */);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as backend_util from '../../../backends/backend_util';\nimport {BinaryInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {DataType, NumericDataType, TypedArray} from '../../../types';\nimport * as util from '../../../util';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport function createBinaryKernelConfig(\n    name: string,\n    op: (\n        aShape: number[], bShape: number[], aVals: TypedArray,\n        bVals: TypedArray,\n        dtype: DataType) => [TypedArray, number[]]): KernelConfig {\n  return {\n    kernelName: name,\n    backendName: 'cpu',\n    kernelFunc: ({inputs, backend}) => {\n      const {a, b} = inputs as BinaryInputs;\n      const cpuBackend = backend as MathBackendCPU;\n      assertNotComplex([a, b], name);\n\n      const aVals = cpuBackend.data.get(a.dataId).values as TypedArray;\n      const bVals = cpuBackend.data.get(b.dataId).values as TypedArray;\n\n      const [resultData, resultShape] =\n          op(a.shape, b.shape, aVals, bVals, a.dtype);\n\n      const dataId = cpuBackend.write(resultData, resultShape, a.dtype);\n      return {dataId, shape: resultShape, dtype: a.dtype};\n    }\n  };\n}\n\nexport function createBinaryKernelImpl(op: (a: number, b: number) => number) {\n  return (aShape: number[], bShape: number[], aVals: TypedArray,\n          bVals: TypedArray, dtype: DataType): [TypedArray, number[]] => {\n    const newShape = backend_util.assertAndGetBroadcastShape(aShape, bShape);\n\n    const resultRank = newShape.length;\n    const resultStrides = util.computeStrides(newShape);\n    const resultSize = util.sizeFromShape(newShape);\n\n    const result =\n        util.getTypedArrayFromDType(dtype as NumericDataType, resultSize);\n\n    const aRank = aShape.length;\n    const bRank = bShape.length;\n\n    const aStrides = util.computeStrides(aShape);\n    const bStrides = util.computeStrides(bShape);\n\n    const aBroadcastDims = backend_util.getBroadcastDims(aShape, newShape);\n    const bBroadcastDims = backend_util.getBroadcastDims(bShape, newShape);\n\n    if (aBroadcastDims.length + bBroadcastDims.length === 0) {\n      for (let i = 0; i < result.length; ++i) {\n        result[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);\n      }\n    } else {\n      for (let i = 0; i < result.length; ++i) {\n        const loc = util.indexToLoc(i, resultRank, resultStrides);\n\n        const aLoc = loc.slice(-aRank);\n        aBroadcastDims.forEach(d => aLoc[d] = 0);\n        const aIndex = util.locToIndex(aLoc, aRank, aStrides);\n\n        const bLoc = loc.slice(-bRank);\n        bBroadcastDims.forEach(d => bLoc[d] = 0);\n        const bIndex = util.locToIndex(bLoc, bRank, bStrides);\n\n        result[i] = op(aVals[aIndex], bVals[bIndex]);\n      }\n    }\n\n    return [result, newShape];\n  };\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {createBinaryKernelImpl} from '../utils/kernel_utils';\n\nexport const divImpl = createBinaryKernelImpl((a: number, b: number) => a / b);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div} from '../../../kernel_names';\nimport {createBinaryKernelConfig} from '../utils/kernel_utils';\nimport {divImpl} from './Div_impl';\n\nexport const divConfig = createBinaryKernelConfig(Div, divImpl);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {MaxPoolWithArgmax, MaxPoolWithArgmaxAttrs, MaxPoolWithArgmaxInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport {TypedArray} from '../../../types';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nimport {maxPoolWithArgmaxImpl} from './MaxPoolWithArgmax_impl';\n\nexport const maxPoolWithArgmaxConfig: KernelConfig = {\n  kernelName: MaxPoolWithArgmax,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as MaxPoolWithArgmaxInputs;\n    const {filterSize, strides, pad, includeBatchInIndex} =\n        attrs as {} as MaxPoolWithArgmaxAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'MaxPoolWithArgmax');\n\n    const values = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const convInfo = conv_util.computePool2DInfo(\n        x.shape as [number, number, number, number], filterSize, strides,\n        [1, 1], pad);\n    const [pooled, indexes] = maxPoolWithArgmaxImpl(\n        values, x.shape, x.dtype, includeBatchInIndex, convInfo);\n\n    const pooledDataId =\n        cpuBackend.write(pooled as Float32Array, convInfo.outShape, x.dtype);\n    const indexesDataId =\n        cpuBackend.write(indexes as Int32Array, convInfo.outShape, x.dtype);\n    return [\n      {dataId: pooledDataId, shape: convInfo.outShape, dtype: x.dtype},\n      {dataId: indexesDataId, shape: convInfo.outShape, dtype: 'int32'}\n    ];\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Conv2DInfo} from '../../../ops/conv_util';\nimport {DataType, TypedArray} from '../../../types';\nimport {computeStrides} from '../../../util';\nimport {maxPoolPositions, pool} from '../pool_utils';\nexport function maxPoolWithArgmaxImpl(\n    xValues: TypedArray, xShape: number[], dtype: DataType,\n    includeBatchInIndex: boolean, convInfo: Conv2DInfo) {\n  const strides = computeStrides(xShape);\n  const maxPools = pool(xValues, xShape, dtype, strides, convInfo, 'max');\n  const maxPositions = maxPoolPositions(\n      xValues, xShape, dtype, convInfo, true, includeBatchInIndex);\n\n  return [maxPools.values, maxPositions.values];\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NonMaxSuppressionV5, NonMaxSuppressionV5Attrs, NonMaxSuppressionV5Inputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {TypedArray} from '../../../types';\nimport {nonMaxSuppressionV5} from '../../non_max_suppression_impl';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport const nonMaxSuppressionV5Config: KernelConfig = {\n  kernelName: NonMaxSuppressionV5,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    const {boxes, scores} = inputs as NonMaxSuppressionV5Inputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as unknown as NonMaxSuppressionV5Attrs;\n\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(boxes, 'NonMaxSuppressionWithScore');\n\n    const boxesVals = cpuBackend.data.get(boxes.dataId).values as TypedArray;\n    const scoresVals = cpuBackend.data.get(scores.dataId).values as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square, SquareInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nexport const squareConfig: KernelConfig = {\n  kernelName: Square,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const cpuBackend = backend as MathBackendCPU;\n    assertNotComplex(x, 'square');\n\n    const values = cpuBackend.data.get(x.dataId).values as Float32Array;\n    const newValues = new Float32Array(values.length);\n    for (let i = 0; i < values.length; ++i) {\n      const value = values[i];\n      newValues[i] = value * value;\n    }\n    const dataId = cpuBackend.write(newValues, x.shape, x.dtype);\n    return {dataId, shape: x.shape, dtype: x.dtype};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SquaredDifference} from '../../../kernel_names';\nimport {createBinaryKernelImpl} from '../utils/kernel_utils';\nimport {createBinaryKernelConfig} from '../utils/kernel_utils';\n\nconst squaredDifferenceImpl = createBinaryKernelImpl((aVal, bVal) => {\n  const diff = aVal - bVal;\n  return diff * diff;\n});\n\nexport const squaredDifferenceConfig =\n    createBinaryKernelConfig(SquaredDifference, squaredDifferenceImpl);\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {DataType, NumericDataType, TypedArray} from '../../../types';\nimport * as util from '../../../util';\n\nexport function transposeImpl(\n    xVals: TypedArray, xShape: number[], dtype: DataType, perm: number[],\n    newShape: number[]): TypedArray {\n  const xSize = util.sizeFromShape(xShape);\n  const xRank = xShape.length;\n  const xStrides = util.computeStrides(xShape);\n  const newStrides = util.computeStrides(newShape);\n\n  const result = util.getTypedArrayFromDType(\n      dtype as NumericDataType, util.sizeFromShape(newShape));\n\n  for (let i = 0; i < xSize; ++i) {\n    const loc = util.indexToLoc(i, xRank, xStrides);\n\n    // Permute location.\n    const newLoc: number[] = new Array(loc.length);\n    for (let i = 0; i < newLoc.length; i++) {\n      newLoc[i] = loc[perm[i]];\n    }\n\n    const newIndex = util.locToIndex(newLoc, xRank, newStrides);\n    result[newIndex] = xVals[i];\n  }\n  return result;\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n// We explicitly import the modular kernels so they get registered in the\n// global registry when we compile the library. A modular build would replace\n// the contents of this file and import only the kernels that are needed.\nimport {KernelConfig, registerKernel} from '../../kernel_registry';\n\nimport {divConfig} from './kernels/Div';\nimport {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';\nimport {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';\nimport {squareConfig} from './kernels/Square';\nimport {squaredDifferenceConfig} from './kernels/SquaredDifference';\nimport {transposeConfig} from './kernels/Transpose';\n\n// List all kernel configs here\nconst kernelConfigs: KernelConfig[] = [\n  nonMaxSuppressionV5Config, squareConfig, squaredDifferenceConfig, divConfig,\n  transposeConfig, maxPoolWithArgmaxConfig\n];\n\nfor (const kernelConfig of kernelConfigs) {\n  registerKernel(kernelConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Transpose, TransposeAttrs, TransposeInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {TypedArray} from '../../../types';\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\n\nimport {transposeImpl} from './Transpose_impl';\n\nexport const transposeConfig: KernelConfig = {\n  kernelName: Transpose,\n  backendName: 'cpu',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as TransposeInputs;\n    const {perm} = attrs as {} as TransposeAttrs;\n    const cpuBackend = backend as MathBackendCPU;\n\n    assertNotComplex(x, 'transpose');\n\n    const xRank = x.shape.length;\n\n    const newShape: number[] = new Array(xRank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n\n    const values = cpuBackend.data.get(x.dataId).values as TypedArray;\n    const result = transposeImpl(values, x.shape, x.dtype, perm, newShape);\n\n    const dataId = cpuBackend.write(result, newShape, x.dtype);\n    return {dataId, shape: newShape, dtype: x.dtype};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div, DivInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {divImpl} from './Div_impl';\n\nexport const divConfig: KernelConfig = {\n  kernelName: Div,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {a, b} = inputs as DivInputs;\n\n    const webglBackend = backend as MathBackendWebGL;\n\n    return divImpl(a, b, webglBackend);\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {FromPixels, FromPixelsAttrs, FromPixelsInputs} from '../../../kernel_names';\nimport {KernelFunc, TensorInfo} from '../../../kernel_registry';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {TextureUsage} from '../tex_util';\n\nimport {FromPixelsProgram} from './FromPixels_utils/from_pixels_gpu';\nimport {FromPixelsPackedProgram} from './FromPixels_utils/from_pixels_packed_gpu';\n\nexport const fromPixelsConfig: KernelConfig = {\n  kernelName: FromPixels,\n  backendName: 'webgl',\n  kernelFunc: fromPixels as {} as KernelFunc,\n};\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\nfunction fromPixels(args: {\n  inputs: FromPixelsInputs,\n  backend: MathBackendWebGL,\n  attrs: FromPixelsAttrs\n}): TensorInfo {\n  const {inputs, backend, attrs} = args;\n  let {pixels} = inputs;\n  const {numChannels} = attrs;\n\n  const isVideo = typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement;\n  const isImage = typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement;\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n\n  const texShape: [number, number] = [height, width];\n  const outShape = [height, width, numChannels];\n\n  if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement | HTMLImageElement, 0, 0, width, height);\n    pixels = fromPixels2DContext.canvas;\n  }\n\n  const tempPixelHandle = backend.makeTensorInfo(texShape, 'int32');\n  // This is a byte texture with pixels.\n  backend.texData.get(tempPixelHandle.dataId).usage = TextureUsage.PIXELS;\n  backend.gpgpu.uploadPixelDataToTexture(\n      backend.getTexture(tempPixelHandle.dataId), pixels as ImageData);\n  const program = env().getBool('WEBGL_PACK') ?\n      new FromPixelsPackedProgram(outShape) :\n      new FromPixelsProgram(outShape);\n  const res = backend.runWebGLProgram(program, [tempPixelHandle], 'int32');\n  backend.disposeData(tempPixelHandle.dataId);\n  return res;\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from '../../glsl_version';\nimport {GPGPUProgram} from '../../gpgpu_math';\n\nexport class FromPixelsProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${width}.0, ${height}.0);\n\n        vec4 values = ${glsl.texture2D}(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getGlslDifferences} from '../../glsl_version';\nimport {GPGPUProgram} from '../../gpgpu_math';\n\nexport class FromPixelsPackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  userCode: string;\n  outputShape: number[];\n  packedInputs = false;\n  packedOutput = true;\n\n  constructor(outputShape: number[]) {\n    const glsl = getGlslDifferences();\n    const [height, width, ] = outputShape;\n    this.outputShape = outputShape;\n    this.userCode = `\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2(${width}.0, ${height}.0);\n            vec4 values = ${glsl.texture2D}(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        ${glsl.output} = result;\n      }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {MaxPoolWithArgmax, MaxPoolWithArgmaxAttrs, MaxPoolWithArgmaxInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport * as util from '../../../util';\nimport {MathBackendWebGL} from '../backend_webgl';\n\nimport {maxPoolWithArgmaxImpl} from './MaxPoolWithArgmax_impl';\n\nexport const maxPoolWithArgmaxConfig: KernelConfig = {\n  kernelName: MaxPoolWithArgmax,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as MaxPoolWithArgmaxInputs;\n    const {filterSize, strides, pad, includeBatchInIndex} =\n        attrs as {} as MaxPoolWithArgmaxAttrs;\n    const webglBackend = backend as MathBackendWebGL;\n\n    util.assert(\n        x.shape.length === 4,\n        () => `Error in maxPool: input must be rank 4 but got rank ${\n            x.shape.length}.`);\n    const dilations: [number, number] = [1, 1];\n    util.assert(\n        conv_util.eitherStridesOrDilationsAreOne(strides, dilations),\n        () => 'Error in maxPool: Either strides or dilations must be 1. ' +\n            `Got strides ${strides} and dilations '${dilations}'`);\n\n    const convInfo = conv_util.computePool2DInfo(\n        x.shape as [number, number, number, number], filterSize, strides,\n        dilations, pad);\n\n    const [result, indexes] =\n        maxPoolWithArgmaxImpl(x, includeBatchInIndex, convInfo, webglBackend);\n    return [result, indexes];\n  }\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposeProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    const dtype = getCoordsDataType(this.rank);\n    const switched = getSwitchedCoords(newDim);\n\n    this.userCode = `\n    void main() {\n      ${dtype} resRC = getOutputCoords();\n      setOutput(getA(${switched}));\n    }\n    `;\n  }\n}\n\nfunction getSwitchedCoords(newDim: number[]): string {\n  const rank = newDim.length;\n  if (rank > 6) {\n    throw Error(`Transpose for rank ${rank} is not yet supported`);\n  }\n  const originalOrder =\n      ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w', 'resRC.u', 'resRC.v'];\n  const switchedCoords = new Array(rank);\n  for (let i = 0; i < newDim.length; i++) {\n    switchedCoords[newDim[i]] = originalOrder[i];\n  }\n  return switchedCoords.join();\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {getVecChannels} from '../packing_util';\n\nimport {GPGPUProgram} from './gpgpu_math';\nimport {getCoordsDataType} from './shader_compiler';\n\nexport class TransposePackedProgram implements GPGPUProgram {\n  variableNames = ['A'];\n  outputShape: number[];\n  userCode: string;\n  rank: number;\n  packedInputs = true;\n  packedOutput = true;\n\n  constructor(aShape: number[], newDim: number[]) {\n    const outputShape: number[] = new Array(aShape.length);\n    for (let i = 0; i < outputShape.length; i++) {\n      outputShape[i] = aShape[newDim[i]];\n    }\n    this.outputShape = outputShape;\n    this.rank = outputShape.length;\n    if (this.rank > 6) {\n      throw Error(\n          `Packed transpose for rank ${this.rank} is not yet supported.`);\n    }\n    const dtype = getCoordsDataType(this.rank);\n\n    const outputOrder = getVecChannels('rc', this.rank);\n    const switchedOrder = new Array(this.rank);\n    for (let i = 0; i < newDim.length; i++) {\n      switchedOrder[newDim[i]] = outputOrder[i];\n    }\n    const innerDims = `vec2(${switchedOrder.slice(-2).join()})`;\n    const nextColumn =\n        `++${outputOrder[this.rank - 1]} < ${outputShape[this.rank - 1]}`;\n    const getc = `getChannel(getA(${switchedOrder.join()}), ${innerDims})`;\n\n    this.userCode = `\n    void main() {\n      ${dtype} rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ${getc};\n      if(${nextColumn}) {\n        result[1] = ${getc};\n      }\n      --${outputOrder[this.rank - 1]};\n      if(++${outputOrder[this.rank - 2]} < ${outputShape[this.rank - 2]}) {\n        result[2] = ${getc};\n        if(${nextColumn}) {\n          result[3] = ${getc};\n        }\n      }\n      setOutput(result);\n    }\n    `;\n  }\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {KernelConfig, registerKernel} from '../../kernel_registry';\n\nimport {divConfig} from './kernels/Div';\nimport {fromPixelsConfig} from './kernels/FromPixels';\nimport {maxPoolWithArgmaxConfig} from './kernels/MaxPoolWithArgmax';\nimport {nonMaxSuppressionV5Config} from './kernels/NonMaxSuppressionV5';\nimport {squareConfig} from './kernels/Square';\nimport {squaredDifferenceConfig} from './kernels/SquaredDifference';\nimport {transposeConfig} from './kernels/Transpose';\n\n// List all kernel configs here\nconst kernelConfigs: KernelConfig[] = [\n  fromPixelsConfig, divConfig, nonMaxSuppressionV5Config, squareConfig,\n  squaredDifferenceConfig, transposeConfig, maxPoolWithArgmaxConfig\n];\n\nfor (const kernelConfig of kernelConfigs) {\n  registerKernel(kernelConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TypedArray} from '../../../../src/types';\nimport {transposeImpl as cpuTranspose} from '../../../backends/cpu/kernels/Transpose_impl';\nimport {Transpose, TransposeAttrs, TransposeInputs} from '../../../kernel_names';\nimport {KernelConfig, TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {transposeImpl} from './Transpose_impl';\n\nexport const transposeConfig: KernelConfig = {\n  kernelName: Transpose,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, attrs, backend}) => {\n    const {x} = inputs as TransposeInputs;\n    const {perm} = attrs as {} as TransposeAttrs;\n    const webglBackend = backend as MathBackendWebGL;\n\n    const xRank = x.shape.length;\n\n    const newShape: number[] = new Array(xRank);\n    for (let i = 0; i < newShape.length; i++) {\n      newShape[i] = x.shape[perm[i]];\n    }\n\n    let out: TensorInfo;\n    if (webglBackend.shouldExecuteOnCPU([x])) {\n      const xTexData = webglBackend.texData.get(x.dataId);\n      const values = xTexData.values as TypedArray;\n      const outValues = cpuTranspose(values, x.shape, x.dtype, perm, newShape);\n\n      out = webglBackend.makeTensorInfo(newShape, x.dtype);\n      const outData = webglBackend.texData.get(out.dataId);\n      outData.values = outValues;\n    } else {\n      out = transposeImpl(x, perm, webglBackend);\n    }\n    return out;\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport * as binaryop_gpu from '../binaryop_gpu';\nimport {BinaryOpProgram} from '../binaryop_gpu';\nimport * as binaryop_packed_gpu from '../binaryop_packed_gpu';\nimport {BinaryOpPackedProgram} from '../binaryop_packed_gpu';\n\nexport function divImpl(\n    a: TensorInfo, b: TensorInfo, backend: MathBackendWebGL): TensorInfo {\n  let program = new BinaryOpProgram(binaryop_gpu.DIV, a.shape, b.shape);\n  if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {\n    program = new BinaryOpPackedProgram(\n        binaryop_packed_gpu.DIV, a.shape, b.shape, true);\n  }\n  const output = backend.runWebGLProgram(program, [a, b], 'float32');\n  return output;\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {NonMaxSuppressionV5, NonMaxSuppressionV5Attrs, NonMaxSuppressionV5Inputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {warn} from '../../../log';\nimport {TypedArray} from '../../../types';\nimport {nonMaxSuppressionV5} from '../../non_max_suppression_impl';\n\nimport {MathBackendWebGL} from '../backend_webgl';\n\nexport const nonMaxSuppressionV5Config: KernelConfig = {\n  kernelName: NonMaxSuppressionV5,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend, attrs}) => {\n    warn(\n        'tf.nonMaxSuppression() in webgl locks the UI thread. ' +\n        'Call tf.nonMaxSuppressionAsync() instead');\n\n    const {boxes, scores} = inputs as NonMaxSuppressionV5Inputs;\n    const {maxOutputSize, iouThreshold, scoreThreshold, softNmsSigma} =\n        attrs as unknown as NonMaxSuppressionV5Attrs;\n\n    const gpuBackend = backend as MathBackendWebGL;\n\n    const boxesVals = gpuBackend.readSync(boxes.dataId) as TypedArray;\n    const scoresVals = gpuBackend.readSync(scores.dataId) as TypedArray;\n\n    const maxOutputSizeVal = maxOutputSize;\n    const iouThresholdVal = iouThreshold;\n    const scoreThresholdVal = scoreThreshold;\n    const softNmsSigmaVal = softNmsSigma;\n\n    const {selectedIndices, selectedScores} = nonMaxSuppressionV5(\n        boxesVals, scoresVals, maxOutputSizeVal, iouThresholdVal,\n        scoreThresholdVal, softNmsSigmaVal);\n\n    return [selectedIndices, selectedScores];\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square, SquareInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\n\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {SQUARE, UnaryOpProgram} from '../unaryop_gpu';\n\nexport const squareConfig: KernelConfig = {\n  kernelName: Square,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {x} = inputs as SquareInputs;\n    const webglBackend = backend as MathBackendWebGL;\n    const program = new UnaryOpProgram(x.shape, SQUARE);\n    return webglBackend.runWebGLProgram(program, [x], x.dtype);\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {SquaredDifference, SquaredDifferenceInputs} from '../../../kernel_names';\nimport {KernelConfig} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {BinaryOpProgram} from '../binaryop_gpu';\nimport {BinaryOpPackedProgram} from '../binaryop_packed_gpu';\n\nexport const squaredDifferenceConfig: KernelConfig = {\n  kernelName: SquaredDifference,\n  backendName: 'webgl',\n  kernelFunc: ({inputs, backend}) => {\n    const {a, b} = inputs as SquaredDifferenceInputs;\n    const SQUARED_DIFFERENCE = 'return (a - b) * (a - b);';\n    const webGLBackend = backend as MathBackendWebGL;\n\n    const program = env().getBool('WEBGL_PACK_BINARY_OPERATIONS') ?\n        new BinaryOpPackedProgram(SQUARED_DIFFERENCE, a.shape, b.shape) :\n        new BinaryOpProgram(SQUARED_DIFFERENCE, a.shape, b.shape);\n    return webGLBackend.compileAndRun(program, [a, b]);\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../../../environment';\nimport {TensorInfo} from '../../../kernel_registry';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {TransposeProgram} from '../transpose_gpu';\nimport {TransposePackedProgram} from '../transpose_packed_gpu';\n\nexport function transposeImpl(\n    x: TensorInfo, perm: number[], backend: MathBackendWebGL): TensorInfo {\n  const program = env().getBool('WEBGL_PACK_ARRAY_OPERATIONS') ?\n      new TransposePackedProgram(x.shape, perm) :\n      new TransposeProgram(x.shape, perm);\n  return backend.runWebGLProgram(program, [x], x.dtype);\n}\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {TensorInfo} from '../../../kernel_registry';\nimport * as conv_util from '../../../ops/conv_util';\nimport {MathBackendWebGL} from '../backend_webgl';\nimport {Pool2DProgram} from '../pool_gpu';\n\nexport function maxPoolWithArgmaxImpl(\n    x: TensorInfo, includeBatchInIndex: boolean, convInfo: conv_util.Conv2DInfo,\n    backend: MathBackendWebGL): TensorInfo[] {\n  let program = new Pool2DProgram(convInfo, 'max', false);\n  const poolOutput = backend.runWebGLProgram(program, [x], 'float32');\n\n  program = new Pool2DProgram(convInfo, 'max', true, true, includeBatchInIndex);\n  const indexOutput = backend.runWebGLProgram(program, [x], 'float32');\n  return [poolOutput, indexOutput];\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {addGradConfig} from './gradients/Add_grad';\nimport {addNGradConfig} from './gradients/AddN_grad';\nimport {broadcastToGradConfig} from './gradients/BroadcastTo_grad';\nimport {divGradConfig} from './gradients/Div_grad';\nimport {fusedBatchNormGradConfig} from './gradients/FusedBatchNorm_grad';\nimport {identityGradConfig} from './gradients/Identity_grad';\nimport {oneHotGradConfig} from './gradients/OneHot_grad';\nimport {padV2GradConfig} from './gradients/PadV2_grad';\nimport {squareGradConfig} from './gradients/Square_grad';\nimport {squaredDifferenceGradConfig} from './gradients/SquaredDifference_grad';\nimport {tileGradConfig} from './gradients/Tile_grad';\nimport {transposeGradConfig} from './gradients/Transpose_grad';\nimport {GradConfig} from './kernel_registry';\nimport {registerGradient} from './kernel_registry';\n\n// Export all kernel configs here so that the package can auto register them\nconst gradConfigs: GradConfig[] = [\n  addGradConfig, addNGradConfig, broadcastToGradConfig, divGradConfig,\n  fusedBatchNormGradConfig, identityGradConfig, oneHotGradConfig,\n  padV2GradConfig, squareGradConfig, squaredDifferenceGradConfig,\n  tileGradConfig, transposeGradConfig\n];\n\nfor (const gradientConfig of gradConfigs) {\n  registerGradient(gradientConfig);\n}\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {Add} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport * as broadcast_util from '../ops/broadcast_util';\nimport {Tensor} from '../tensor';\n\nexport const addGradConfig: GradConfig = {\n  kernelName: Add,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const outShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n\n    const derA = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes(a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape(a.shape);\n    };\n    const derB = () => {\n      let res = dy;\n      const reduceAxes = broadcast_util.getReductionAxes(b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = res.sum(reduceAxes);\n      }\n      return res.reshape(b.shape);\n    };\n\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AddN} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const addNGradConfig: GradConfig = {\n  kernelName: AddN,\n  saveAllInputs: true,\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const ders: {[key: string]: () => Tensor} = {};\n    saved.forEach((_, i) => {\n      ders[i] = () => dy.clone();\n    });\n    return ders;\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BroadcastTo, BroadCastToAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const broadcastToGradConfig: GradConfig = {\n  kernelName: BroadcastTo,\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const broadCastToAttrs: BroadCastToAttrs =\n        attrs as unknown as BroadCastToAttrs;\n\n    const inputShape = broadCastToAttrs.inputShape;\n    const outputShape = broadCastToAttrs.shape;\n\n    const reps: number[] = Array.from(outputShape);\n    for (let i = inputShape.length - 1; i >= 0; i--) {\n      if (inputShape[i] === outputShape[i]) {\n        reps[i] = 1;\n      } else if (inputShape[i] !== 1) {\n        throw new Error(`broadcastTo(): [${\n            inputShape}] cannot be broadcast to [${outputShape}].`);\n      }\n    }\n    const axes: number[] = [];\n    for (let i = 0; i < reps.length; i++) {\n      if (reps[i] > 1) {\n        axes.push(i);\n      }\n    }\n    const keepDims = true;\n    return {x: () => dy.sum(axes, keepDims)};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Div} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport * as broadcast_util from '../ops/broadcast_util';\nimport {div} from '../ops/div';\nimport {sum} from '../ops/reduction_ops';\nimport {square} from '../ops/square';\nimport {neg} from '../ops/unary_ops';\nimport {Tensor} from '../tensor';\n\nexport const divGradConfig: GradConfig = {\n  kernelName: Div,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const outShape =\n        broadcast_util.assertAndGetBroadcastShape(a.shape, b.shape);\n    const derA = () => {\n      const res = div(dy, b.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes(a.shape, outShape);\n      if (reduceAxes.length > 0) {\n        return sum(res, reduceAxes).reshape(a.shape);\n      }\n      return res;\n    };\n    const derB = () => {\n      let res = dy.mul(a.toFloat());\n      const reduceAxes = broadcast_util.getReductionAxes(b.shape, outShape);\n      if (reduceAxes.length > 0) {\n        res = sum(res, reduceAxes).reshape(b.shape);\n      }\n      const tmp = square(b);\n      return neg(div(res, tmp.toFloat()));\n    };\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {FusedBatchNorm, FusedBatchNormAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {xAs4D} from '../ops/batchnorm_util';\nimport {getReductionAxes} from '../ops/broadcast_util';\nimport {add, mul, reshape, sub} from '../ops/ops';\nimport {sum} from '../ops/reduction_ops';\nimport {scalar} from '../ops/tensor_ops';\nimport {tile} from '../ops/tile';\nimport {rsqrt} from '../ops/unary_ops';\nimport {Tensor, Tensor4D} from '../tensor';\nimport {Rank, ShapeMap} from '../types';\n\nexport const fusedBatchNormGradConfig: GradConfig = {\n  kernelName: FusedBatchNorm,\n  inputsToSave: ['x', 'mean', 'variance', 'scale'],\n  gradFunc: <R extends Rank>(\n      dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const batchNormalizationAttrs: FusedBatchNormAttrs =\n        attrs as {} as FusedBatchNormAttrs;\n    const {varianceEpsilon} = batchNormalizationAttrs;\n    const [x, mean, variance, scale] = saved;\n\n    const x4D: Tensor4D = xAs4D(x);\n\n    const scaleValue = scale == null ? scalar(1) : scale;\n    const reductionAxes = getReductionAxes(mean.shape, x4D.shape);\n    const tileShape: number[] = [];\n    if (mean.rank === 1) {\n      for (let i = 0; i < x4D.shape.length - 1; ++i) {\n        tileShape.push(x4D.shape[i]);\n      }\n      tileShape.push(1);\n    }\n\n    const xMinusMean = sub(x, mean);\n    const dyTimesScaleValue = mul(dy, scaleValue);\n    const oneOverSqrtVariance = rsqrt(add(variance, scalar(varianceEpsilon)));\n    const minusHalfRCube = mul(\n        mul(mul(oneOverSqrtVariance, oneOverSqrtVariance), oneOverSqrtVariance),\n        scalar(-0.5));\n\n    const derX = () => {\n      if (mean.rank === 1) {\n        return reshape(\n            mul(mul(dy,\n                    tile(\n                        oneOverSqrtVariance.as4D(1, 1, 1, mean.shape[0]),\n                        tileShape)),\n                scaleValue),\n            x.shape);\n      } else {\n        return reshape(mul(mul(dy, oneOverSqrtVariance), scaleValue), x.shape);\n      }\n    };\n    const derMean = () => {\n      let meanDer =\n          mul(mul(oneOverSqrtVariance, scalar(-1)), dyTimesScaleValue);\n      if (mean.rank === 1) {\n        meanDer = sum(meanDer, reductionAxes);\n      }\n      return reshape(meanDer, mean.shape as ShapeMap[R]);\n    };\n    const derVariance = () => {\n      let varianceDer = mul(mul(minusHalfRCube, xMinusMean), dyTimesScaleValue);\n\n      if (mean.rank === 1) {\n        varianceDer = sum(varianceDer, reductionAxes);\n      }\n      return reshape(varianceDer, mean.shape as ShapeMap[R]);\n    };\n    const derScale = () => {\n      const xMinusMean2TimesRsqrt = mul(xMinusMean, oneOverSqrtVariance);\n\n      let scaleDer = mul(dy, xMinusMean2TimesRsqrt);\n      if (mean.rank === 1) {\n        scaleDer = sum(scaleDer, reductionAxes);\n      }\n      return reshape(scaleDer, mean.shape as ShapeMap[R]);\n    };\n    const derOffset = () => {\n      let offsetDer = dy;\n      if (mean.rank === 1) {\n        offsetDer = sum(offsetDer, reductionAxes);\n      }\n      return reshape(offsetDer, mean.shape as ShapeMap[R]);\n    };\n    return {\n      x: derX,\n      mean: derMean,\n      variance: derVariance,\n      scale: derScale,\n      offset: derOffset\n    };\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Identity} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const identityGradConfig: GradConfig = {\n  kernelName: Identity,\n  gradFunc: (dy: Tensor) => {\n    return {x: () => dy.toFloat()};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {OneHot} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {zeros} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const oneHotGradConfig: GradConfig = {\n  kernelName: OneHot,\n  inputsToSave: ['indices'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const indices = saved[0];\n    return {indices: () => zeros(indices.shape, 'float32')};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {PadV2, PadV2Attrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const padV2GradConfig: GradConfig = {\n  kernelName: PadV2,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    // Pad introduces values around the original tensor, so the gradient\n    // slices the original shape out of the gradient.\n    const x = saved[0];\n    const {paddings} = attrs as unknown as PadV2Attrs;\n    const begin = paddings.map(p => p[0]);\n    return {x: () => dy.slice(begin, x.shape)};\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Square} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {Tensor} from '../tensor';\n\nexport const squareGradConfig: GradConfig = {\n  kernelName: Square,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [x] = saved;\n    return {x: () => dy.mul(x.toFloat().mul(2))};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {SquaredDifference} from '../kernel_names';\nimport {GradConfig} from '../kernel_registry';\nimport {mul, sub} from '../ops/binary_ops';\nimport {scalar} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const squaredDifferenceGradConfig: GradConfig = {\n  kernelName: SquaredDifference,\n  inputsToSave: ['a', 'b'],\n  gradFunc: (dy: Tensor, saved: Tensor[]) => {\n    const [a, b] = saved;\n    const two = scalar(2);\n    const derA = () => mul(dy, mul(two, sub(a, b)));\n    const derB = () => mul(dy, mul(two, sub(b, a)));\n    return {a: derA, b: derB};\n  }\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tile, TileAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport {zerosLike} from '../ops/tensor_ops';\nimport {Tensor} from '../tensor';\n\nexport const tileGradConfig: GradConfig = {\n  kernelName: Tile,\n  inputsToSave: ['x'],\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const [x] = saved;\n    const {reps} = attrs as unknown as TileAttrs;\n\n    const derX = () => {\n      let xGrad = zerosLike(x);\n      // TODO(cais): Maybe reduce memory footprint by avoiding repeated\n      // slicing.\n      if (x.rank === 1) {\n        for (let i = 0; i < reps[0]; ++i) {\n          xGrad = xGrad.add(dy.slice([i * x.shape[0]], [x.shape[0]]));\n        }\n      } else if (x.rank === 2) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            xGrad = xGrad.add(dy.slice(\n                [i * x.shape[0], j * x.shape[1]], [x.shape[0], x.shape[1]]));\n          }\n        }\n      } else if (x.rank === 3) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              xGrad = xGrad.add(dy.slice(\n                  [i * x.shape[0], j * x.shape[1], k * x.shape[2]],\n                  [x.shape[0], x.shape[1], x.shape[2]]));\n            }\n          }\n        }\n      } else if (x.rank === 4) {\n        for (let i = 0; i < reps[0]; ++i) {\n          for (let j = 0; j < reps[1]; ++j) {\n            for (let k = 0; k < reps[2]; ++k) {\n              for (let l = 0; l < reps[3]; ++l) {\n                xGrad = xGrad.add(dy.slice(\n                    [\n                      i * x.shape[0], j * x.shape[1], k * x.shape[2],\n                      l * x.shape[3]\n                    ],\n                    [x.shape[0], x.shape[1], x.shape[2], x.shape[3]]));\n              }\n            }\n          }\n        }\n      } else {\n        throw new Error(\n            `Gradient for tile operation is not implemented for rank-` +\n            `${x.rank} tensors yet.`);\n      }\n      return xGrad;\n    };\n    return {x: derX};\n  },\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Transpose, TransposeAttrs} from '../kernel_names';\nimport {GradConfig, NamedAttrMap} from '../kernel_registry';\nimport * as axis_util from '../ops/axis_util';\nimport {transpose} from '../ops/transpose';\nimport {Tensor} from '../tensor';\n\nexport const transposeGradConfig: GradConfig = {\n  kernelName: Transpose,\n  gradFunc: (dy: Tensor, saved: Tensor[], attrs: NamedAttrMap) => {\n    const transposeAttrs: TransposeAttrs = attrs as {} as TransposeAttrs;\n    const {perm} = transposeAttrs;\n    const undoPerm = axis_util.getUndoAxesPermutation(perm);\n    return {x: () => transpose(dy, undoPerm)};\n  }\n};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\nexport class PlatformBrowser implements Platform {\n  // According to the spec, the built-in encoder can do only UTF-8 encoding.\n  // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n  private textEncoder: TextEncoder;\n\n  fetch(path: string, init?: RequestInit): Promise<Response> {\n    return fetch(path, init);\n  }\n\n  now(): number {\n    return performance.now();\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Browser's encoder only supports utf-8, but got ${encoding}`);\n    }\n    if (this.textEncoder == null) {\n      this.textEncoder = new TextEncoder();\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    return new TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_BROWSER')) {\n  env().setPlatform('browser', new PlatformBrowser());\n}\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {env} from '../environment';\n\nimport {Platform} from './platform';\n\n// We are wrapping this within an object so it can be stubbed by Jasmine.\nexport const getNodeFetch = {\n  // tslint:disable-next-line:no-require-imports\n  importFetch: () => require('node-fetch')\n};\n\ntype FetchFn = (url: string, init?: RequestInit) => Promise<Response>;\nlet systemFetch: FetchFn;\n// These getters and setters are for testing so we don't export a mutable\n// variable.\nexport function resetSystemFetch() {\n  systemFetch = null;\n}\nexport function setSystemFetch(fetchFn: FetchFn) {\n  systemFetch = fetchFn;\n}\nexport function getSystemFetch(): FetchFn {\n  return systemFetch;\n}\n\nexport class PlatformNode implements Platform {\n  private textEncoder: TextEncoder;\n  // tslint:disable-next-line:no-any\n  util: any;\n\n  constructor() {\n    // tslint:disable-next-line:no-require-imports\n    this.util = require('util');\n    // According to the spec, the built-in encoder can do only UTF-8 encoding.\n    // https://developer.mozilla.org/en-US/docs/Web/API/TextEncoder/TextEncoder\n    this.textEncoder = new this.util.TextEncoder();\n  }\n\n  fetch(path: string, requestInits?: RequestInit): Promise<Response> {\n    if (env().global.fetch != null) {\n      return env().global.fetch(path, requestInits);\n    }\n\n    if (systemFetch == null) {\n      systemFetch = getNodeFetch.importFetch();\n    }\n    return systemFetch(path, requestInits);\n  }\n\n  now(): number {\n    const time = process.hrtime();\n    return time[0] * 1000 + time[1] / 1000000;\n  }\n\n  encode(text: string, encoding: string): Uint8Array {\n    if (encoding !== 'utf-8' && encoding !== 'utf8') {\n      throw new Error(\n          `Node built-in encoder only supports utf-8, but got ${encoding}`);\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes: Uint8Array, encoding: string): string {\n    if (bytes.length === 0) {\n      return '';\n    }\n    return new this.util.TextDecoder(encoding).decode(bytes);\n  }\n}\n\nif (env().get('IS_NODE')) {\n  env().setPlatform('node', new PlatformNode());\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/* Type definitions for exporting and importing of models. */\n\n/**\n * A map from Tensor dtype to number of bytes per element of the Tensor.\n */\nexport const DTYPE_VALUE_SIZE_MAP: {[dtype: string]: number} = {\n  'float32': 4,\n  'int32': 4,\n  'uint16': 2,\n  'uint8': 1,\n  'bool': 1,\n};\n\n/**\n * A weight manifest.\n *\n * The weight manifest consists of an ordered list of weight-manifest groups.\n * Each weight-manifest group (\"group\" for short hereafter) consists of a\n * number of weight values stored in a number of paths.\n * See the documentation of `WeightManifestGroupConfig` below for more details.\n */\nexport declare type WeightsManifestConfig = WeightsManifestGroupConfig[];\n\n/**\n * A weight-manifest group.\n *\n * Consists of an ordered list of weight values encoded in binary format,\n * stored in an ordered list of paths.\n */\nexport declare interface WeightsManifestGroupConfig {\n  /**\n   * An ordered list of paths.\n   *\n   * Paths are intentionally abstract in order to be general. For example, they\n   * can be relative URL paths or relative paths on the file system.\n   */\n  paths: string[];\n\n  /**\n   * Specifications of the weights stored in the paths.\n   */\n  weights: WeightsManifestEntry[];\n}\n\n/**\n * Group to which the weight belongs.\n *\n * - 'optimizer': Weight from a stateful optimizer.\n */\nexport type WeightGroup = 'model'|'optimizer';\n\n/**\n * An entry in the weight manifest.\n *\n * The entry contains specification of a weight.\n */\nexport declare interface WeightsManifestEntry {\n  /**\n   * Name of the weight, e.g., 'Dense_1/bias'\n   */\n  name: string;\n\n  /**\n   * Shape of the weight.\n   */\n  shape: number[];\n\n  /**\n   * Data type of the weight.\n   */\n  dtype: 'float32'|'int32'|'bool'|'string';\n\n  /**\n   * Type of the weight.\n   *\n   * Optional.\n   *\n   * The value 'optimizer' indicates the weight belongs to an optimizer\n   * (i.e., used only during model training and not during inference).\n   */\n  group?: WeightGroup;\n\n  /**\n   * Information for dequantization of the weight.\n   */\n  quantization?: {\n    scale: number,           // The scaling constant to multiply by.\n    min: number,             // The (possibly nudged) minimum weight to add.\n    dtype: 'uint16'|'uint8'  // The dtype of the quantized weights.\n  };\n}\n\n/**\n * Options for saving a model.\n * @innamespace io\n */\nexport interface SaveConfig {\n  /**\n   * Whether to save only the trainable weights of the model, ignoring the\n   * non-trainable ones.\n   */\n  trainableOnly?: boolean;\n\n  /**\n   * Whether the optimizer will be saved (if exists).\n   *\n   * Default: `false`.\n   */\n  includeOptimizer?: boolean;\n}\n\n/**\n * Result of a saving operation.\n */\nexport interface SaveResult {\n  /**\n   * Information about the model artifacts saved.\n   */\n  modelArtifactsInfo: ModelArtifactsInfo;\n\n  /**\n   * HTTP responses from the server that handled the model-saving request (if\n   * any). This is applicable only to server-based saving routes.\n   */\n  responses?: Response[];\n\n  /**\n   * Error messages and related data (if any).\n   */\n  errors?: Array<{}|string>;\n}\n\nexport declare interface ModelArtifactsInfo {\n  /**\n   * Timestamp for when the model is saved.\n   */\n  dateSaved: Date;\n\n  /**\n   * TODO (cais,yassogba) consider removing GraphDef as GraphDefs now\n   * come in a JSON format and none of our IOHandlers support a non json\n   * format. We could conder replacing this with 'Binary' if we want to\n   * allow future handlers to save to non json formats (though they will\n   * probably want more information than 'Binary').\n   * Type of the model topology\n   *\n   * Type of the model topology\n   *\n   * Possible values:\n   *   - JSON: JSON config (human-readable, e.g., Keras JSON).\n   *   - GraphDef: TensorFlow\n   *     [GraphDef](https://www.tensorflow.org/extend/tool_developers/#graphdef)\n   *     protocol buffer (binary).\n   */\n  modelTopologyType: 'JSON'|'GraphDef';\n\n  /**\n   * Size of model topology (Keras JSON or GraphDef), in bytes.\n   */\n  modelTopologyBytes?: number;\n\n  /**\n   * Size of weight specification or manifest, in bytes.\n   */\n  weightSpecsBytes?: number;\n\n  /**\n   * Size of weight value data, in bytes.\n   */\n  weightDataBytes?: number;\n}\n\n/** Model training configuration. */\nexport declare interface TrainingConfig {\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  // See\n  // tslint:disable-next-line:max-line-length\n  // https://github.com/tensorflow/tfjs-layers/blob/master/src/keras_format/training_config.ts\n  /** Optimizer used for the model training. */\n  optimizer_config: {};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Loss function(s) for the model's output(s). */\n  loss: string|string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  /** Metric function(s) for the model's output(s). */\n  metrics?: string[]|{[key: string]: string};\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  weighted_metrics?: string[];\n\n  // TODO(cais): Tighten the typing once keras spec is available to tfjs-core.\n  sample_weight_mode?: string;\n\n  loss_weights?: number[]|{[key: string]: number};\n}\n\n/**\n * The serialized artifacts of a model, including topology and weights.\n *\n * The `modelTopology`, `trainingConfig`, `weightSpecs` and `weightData` fields\n * of this interface are optional, in order to support topology- or weights-only\n * saving and loading.\n *\n * Note this interface is used internally in IOHandlers.  For the file format\n * written to disk as `model.json`, see `ModelJSON`.\n */\nexport declare interface ModelArtifacts {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology?: {}|ArrayBuffer;\n\n  /**\n   * Serialized configuration for the model's training.\n   */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weight specifications.\n   *\n   * This corresponds to the weightsData below.\n   */\n  weightSpecs?: WeightsManifestEntry[];\n\n  /**\n   * Binary buffer for all weight values concatenated in the order specified\n   * by `weightSpecs`.\n   */\n  weightData?: ArrayBuffer;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * The on-disk format of the `model.json` file.\n *\n * TF.js 1.0 always populates the optional fields when writing model.json.\n * Prior versions did not provide those fields.\n */\nexport declare interface ModelJSON {\n  /**\n   * Model topology.\n   *\n   * For Keras-style `tf.Model`s, this is a JSON object.\n   * For TensorFlow-style models (e.g., `SavedModel`), this is the JSON\n   * encoding of the `GraphDef` protocol buffer.\n   */\n  modelTopology: {};\n\n  /** Model training configuration. */\n  trainingConfig?: TrainingConfig;\n\n  /**\n   * Weights manifest.\n   *\n   * The weights manifest consists of an ordered list of weight-manifest\n   * groups. Each weight-manifest group consists of a number of weight values\n   * stored in a number of paths. See the documentation of\n   * `WeightsManifestConfig` for more details.\n   */\n  weightsManifest: WeightsManifestConfig;\n\n  /**\n   * Hard-coded format name for models saved from TensorFlow.js or converted\n   * by TensorFlow.js Converter.\n   */\n  format?: string;\n\n  /**\n   * What library is responsible for originally generating this artifact.\n   *\n   * Used for debugging purposes. E.g., 'TensorFlow.js v1.0.0'.\n   */\n  generatedBy?: string;\n\n  /**\n   * What library or tool is responsible for converting the original model\n   * to this format, applicable only if the model is output by a converter.\n   *\n   * Used for debugging purposes.  E.g., 'TensorFlow.js Converter v1.0.0'.\n   *\n   * A value of `null` means the model artifacts are generated without any\n   * conversion process (e.g., saved directly from a TensorFlow.js\n   * `tf.LayersModel` instance.)\n   */\n  convertedBy?: string|null;\n\n  /**\n   * User-defined metadata about the model.\n   */\n  userDefinedMetadata?: {};\n}\n\n/**\n * Type definition for handlers of loading operations.\n */\nexport type LoadHandler = () => Promise<ModelArtifacts>;\n\n/**\n * Type definition for handlers of saving operations.\n */\nexport type SaveHandler = (modelArtifact: ModelArtifacts) =>\n    Promise<SaveResult>;\n\n/**\n * Interface for a model import/export handler.\n *\n * The `save` and `load` handlers are both optional, in order to allow handlers\n * that support only saving or loading.\n */\n// tslint:disable-next-line:interface-name\nexport interface IOHandler {\n  save?: SaveHandler;\n  load?: LoadHandler;\n}\n\n/**\n * An interface for the manager of a model store.\n *\n * A model store is defined as a storage medium on which multiple models can\n * be stored. Each stored model has a unique `path` as its identifier.\n * A `ModelStoreManager` for the store allows actions including\n *\n * - Listing the models stored in the store.\n * - Deleting a model from the store.\n */\nexport interface ModelStoreManager {\n  /**\n   * List all models in the model store.\n   *\n   * @returns A dictionary mapping paths of existing models to their\n   *   model artifacts info. Model artifacts info include type of the model's\n   *   topology, byte sizes of the topology, weights, etc.\n   */\n  listModels(): Promise<{[path: string]: ModelArtifactsInfo}>;\n\n  /**\n   * Remove a model specified by `path`.\n   *\n   * @param path\n   * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n   *   is successful).\n   * @throws Error if deletion fails, e.g., if no model exists at `path`.\n   */\n  removeModel(path: string): Promise<ModelArtifactsInfo>;\n}\n\n/**\n * Callback for the progress of a long-running action such as an HTTP\n * request for a large binary object.\n *\n * `fraction` should be a number in the [0, 1] interval, indicating how\n * much of the action has completed.\n */\nexport type OnProgressCallback = (fraction: number) => void;\n\n/** @innamespace io */\nexport interface LoadOptions {\n  /**\n   * RequestInit (options) for HTTP requests.\n   *\n   * For detailed information on the supported fields, see\n   * [https://developer.mozilla.org/en-US/docs/Web/API/Request/Request](\n   *     https://developer.mozilla.org/en-US/docs/Web/API/Request/Request)\n   */\n  requestInit?: RequestInit;\n\n  /**\n   * Progress callback.\n   */\n  onProgress?: OnProgressCallback;\n\n  /**\n   * A function used to override the `window.fetch` function.\n   */\n  fetchFunc?: Function;\n\n  /**\n   * Strict loading model: whether extraneous weights or missing\n   * weights should trigger an `Error`.\n   *\n   * If `true`, require that the provided weights exactly match those\n   * required by the layers. `false` means that both extra weights\n   * and missing weights will be silently ignored.\n   *\n   * Default: `true`.\n   */\n  strict?: boolean;\n\n  /**\n   * Path prefix for weight files, by default this is calculated from the\n   * path of the model JSON file.\n   *\n   * For instance, if the path to the model JSON file is\n   * `http://localhost/foo/model.json`, then the default path prefix will be\n   * `http://localhost/foo/`. If a weight file has the path value\n   * `group1-shard1of2` in the weight manifest, then the weight file will be\n   * loaded from `http://localhost/foo/group1-shard1of2` by default. However,\n   * if you provide a `weightPathPrefix` value of\n   * `http://localhost/foo/alt-weights`, then the weight file will be loaded\n   * from the path `http://localhost/foo/alt-weights/group1-shard1of2` instead.\n   */\n  weightPathPrefix?: string;\n\n  /**\n   * Whether the module or model is to be loaded from TF Hub.\n   *\n   * Setting this to `true` allows passing a TF-Hub module URL, omitting the\n   * standard model file name and the query parameters.\n   *\n   * Default: `false`.\n   */\n  fromTFHub?: boolean;\n}\n\n/**\n * Additional options for Platform.fetch\n */\nexport interface RequestDetails {\n  /**\n   * Is this request for a binary file (as opposed to a json file)\n   */\n  isBinary?: boolean;\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tensor} from '../ops/tensor_ops';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\nimport {TypedArray} from '../types';\nimport {sizeFromShape} from '../util';\n\nimport {DTYPE_VALUE_SIZE_MAP, ModelArtifacts, ModelArtifactsInfo, WeightGroup, WeightsManifestEntry} from './types';\n\n/** Number of bytes reserved for the length of the string. (32bit integer). */\nconst NUM_BYTES_STRING_LENGTH = 4;\n\n/**\n * Encode a map from names to weight values as an ArrayBuffer, along with an\n * `Array` of `WeightsManifestEntry` as specification of the encoded weights.\n *\n * This function does not perform sharding.\n *\n * This function is the reverse of `decodeWeights`.\n *\n * @param tensors A map (\"dict\") from names to tensors.\n * @param group Group to which the weights belong (optional).\n * @returns A `Promise` of\n *   - A flat `ArrayBuffer` with all the binary values of the `Tensor`s\n *     concatenated.\n *   - An `Array` of `WeightManifestEntry`s, carrying information including\n *     tensor names, `dtype`s and shapes.\n * @throws Error: on unsupported tensor `dtype`.\n */\nexport async function encodeWeights(\n    tensors: NamedTensorMap|NamedTensor[], group?: WeightGroup):\n    Promise<{data: ArrayBuffer, specs: WeightsManifestEntry[]}> {\n  // TODO(adarob, cais): Support quantization.\n  const specs: WeightsManifestEntry[] = [];\n  const dataPromises: Array<Promise<TypedArray>> = [];\n\n  const names: string[] = Array.isArray(tensors) ?\n      tensors.map(tensor => tensor.name) :\n      Object.keys(tensors);\n\n  for (let i = 0; i < names.length; ++i) {\n    const name = names[i];\n    const t = Array.isArray(tensors) ? tensors[i].tensor : tensors[name];\n    if (t.dtype !== 'float32' && t.dtype !== 'int32' && t.dtype !== 'bool' &&\n        t.dtype !== 'string') {\n      throw new Error(`Unsupported dtype in weight '${name}': ${t.dtype}`);\n    }\n    const spec: WeightsManifestEntry = {name, shape: t.shape, dtype: t.dtype};\n    if (t.dtype === 'string') {\n      const utf8bytes = new Promise<TypedArray>(async resolve => {\n        const vals = await t.bytes() as Uint8Array[];\n        const totalNumBytes = vals.reduce((p, c) => p + c.length, 0) +\n            NUM_BYTES_STRING_LENGTH * vals.length;\n        const bytes = new Uint8Array(totalNumBytes);\n        let offset = 0;\n        for (let i = 0; i < vals.length; i++) {\n          const val = vals[i];\n          const bytesOfLength =\n              new Uint8Array(new Uint32Array([val.length]).buffer);\n          bytes.set(bytesOfLength, offset);\n          offset += NUM_BYTES_STRING_LENGTH;\n          bytes.set(val, offset);\n          offset += val.length;\n        }\n        resolve(bytes);\n      });\n      dataPromises.push(utf8bytes);\n    } else {\n      dataPromises.push(t.data());\n    }\n    if (group != null) {\n      spec.group = group;\n    }\n    specs.push(spec);\n  }\n\n  const tensorValues = await Promise.all(dataPromises);\n  return {data: concatenateTypedArrays(tensorValues), specs};\n}\n\n/**\n * Decode flat ArrayBuffer as weights.\n *\n * This function does not handle sharding.\n *\n * This function is the reverse of `encodeWeights`.\n *\n * @param buffer A flat ArrayBuffer carrying the binary values of the tensors\n *   concatenated in the order specified in `specs`.\n * @param specs Specifications of the names, dtypes and shapes of the tensors\n *   whose value are encoded by `buffer`.\n * @return A map from tensor name to tensor value, with the names corresponding\n *   to names in `specs`.\n * @throws Error, if any of the tensors has unsupported dtype.\n */\nexport function decodeWeights(\n    buffer: ArrayBuffer, specs: WeightsManifestEntry[]): NamedTensorMap {\n  // TODO(adarob, cais): Support quantization.\n  const out: NamedTensorMap = {};\n  let offset = 0;\n  for (const spec of specs) {\n    const name = spec.name;\n    const dtype = spec.dtype;\n    const shape = spec.shape;\n    const size = sizeFromShape(shape);\n    let values: TypedArray|string[]|Uint8Array[];\n\n    if ('quantization' in spec) {\n      const quantization = spec.quantization;\n      if (quantization.dtype !== 'uint8' && quantization.dtype !== 'uint16') {\n        throw new Error(\n            `Weight ${spec.name} has unknown ` +\n            `quantization dtype ${quantization.dtype}. ` +\n            `Supported quantization dtypes are: 'uint8' and 'uint16'.`);\n      }\n      const quantizationSizeFactor = DTYPE_VALUE_SIZE_MAP[quantization.dtype];\n      const byteBuffer =\n          buffer.slice(offset, offset + size * quantizationSizeFactor);\n      const quantizedArray = (quantization.dtype === 'uint8') ?\n          new Uint8Array(byteBuffer) :\n          new Uint16Array(byteBuffer);\n      if (dtype === 'float32') {\n        values = Float32Array.from(\n            quantizedArray, v => v * quantization.scale + quantization.min);\n      } else if (dtype === 'int32') {\n        values = Int32Array.from(\n            quantizedArray,\n            v => Math.round(v * quantization.scale + quantization.min));\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * quantizationSizeFactor;\n    } else if (dtype === 'string') {\n      const size = sizeFromShape(spec.shape);\n      values = [];\n      for (let i = 0; i < size; i++) {\n        const byteLength = new Uint32Array(\n            buffer.slice(offset, offset + NUM_BYTES_STRING_LENGTH))[0];\n        offset += NUM_BYTES_STRING_LENGTH;\n        const bytes = new Uint8Array(buffer.slice(offset, offset + byteLength));\n        (values as Uint8Array[]).push(bytes);\n        offset += byteLength;\n      }\n    } else {\n      const dtypeFactor = DTYPE_VALUE_SIZE_MAP[dtype];\n      const byteBuffer = buffer.slice(offset, offset + size * dtypeFactor);\n\n      if (dtype === 'float32') {\n        values = new Float32Array(byteBuffer);\n      } else if (dtype === 'int32') {\n        values = new Int32Array(byteBuffer);\n      } else if (dtype === 'bool') {\n        values = new Uint8Array(byteBuffer);\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * dtypeFactor;\n    }\n\n    out[name] = tensor(values, shape, dtype);\n  }\n  return out;\n}\n\n/**\n * Concatenate TypedArrays into an ArrayBuffer.\n */\nexport function concatenateTypedArrays(xs: TypedArray[]): ArrayBuffer {\n  // TODO(adarob, cais): Support quantization.\n  if (xs === null) {\n    throw new Error(`Invalid input value: ${JSON.stringify(xs)}`);\n  }\n\n  let totalByteLength = 0;\n\n  // `normalizedXs` is here for this reason: a `TypedArray`'s `buffer'\n  // can have a different byte length from that of the `TypedArray` itself,\n  // for example, when the `TypedArray` is created from an offset in an\n  // `ArrayBuffer`. `normliazedXs` holds `TypedArray`s whose `buffer`s match\n  // the `TypedArray` in byte length. If an element of `xs` does not show\n  // this property, a new `TypedArray` that satisfy this property will be\n  // constructed and pushed into `normalizedXs`.\n  const normalizedXs: TypedArray[] = [];\n  xs.forEach((x: TypedArray) => {\n    totalByteLength += x.byteLength;\n    // tslint:disable:no-any\n    normalizedXs.push(\n        x.byteLength === x.buffer.byteLength ? x :\n                                               new (x.constructor as any)(x));\n    if (!(x as any instanceof Float32Array || x as any instanceof Int32Array ||\n          x as any instanceof Uint8Array)) {\n      throw new Error(`Unsupported TypedArray subtype: ${x.constructor.name}`);\n    }\n    // tslint:enable:no-any\n  });\n\n  const y = new Uint8Array(totalByteLength);\n  let offset = 0;\n  normalizedXs.forEach((x: TypedArray) => {\n    y.set(new Uint8Array(x.buffer), offset);\n    offset += x.byteLength;\n  });\n\n  return y.buffer;\n}\n\n// Use Buffer on Node.js instead of Blob/atob/btoa\nconst useNodeBuffer = typeof Buffer !== 'undefined' &&\n    (typeof Blob === 'undefined' || typeof atob === 'undefined' ||\n     typeof btoa === 'undefined');\n\n/**\n * Calculate the byte length of a JavaScript string.\n *\n * Note that a JavaScript string can contain wide characters, therefore the\n * length of the string is not necessarily equal to the byte length.\n *\n * @param str Input string.\n * @returns Byte length.\n */\nexport function stringByteLength(str: string): number {\n  if (useNodeBuffer) {\n    return Buffer.byteLength(str);\n  }\n  return new Blob([str]).size;\n}\n\n/**\n * Encode an ArrayBuffer as a base64 encoded string.\n *\n * @param buffer `ArrayBuffer` to be converted.\n * @returns A string that base64-encodes `buffer`.\n */\nexport function arrayBufferToBase64String(buffer: ArrayBuffer): string {\n  if (useNodeBuffer) {\n    return Buffer.from(buffer).toString('base64');\n  }\n  const buf = new Uint8Array(buffer);\n  let s = '';\n  for (let i = 0, l = buf.length; i < l; i++) {\n    s += String.fromCharCode(buf[i]);\n  }\n  return btoa(s);\n}\n\n/**\n * Decode a base64 string as an ArrayBuffer.\n *\n * @param str Base64 string.\n * @returns Decoded `ArrayBuffer`.\n */\nexport function base64StringToArrayBuffer(str: string): ArrayBuffer {\n  if (useNodeBuffer) {\n    const buf = Buffer.from(str, 'base64');\n    return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);\n  }\n  const s = atob(str);\n  const buffer = new Uint8Array(s.length);\n  for (let i = 0; i < s.length; ++i) {\n    buffer.set([s.charCodeAt(i)], i);\n  }\n  return buffer.buffer;\n}\n\n/**\n * Concatenate a number of ArrayBuffers into one.\n *\n * @param buffers A number of array buffers to concatenate.\n * @returns Result of concatenating `buffers` in order.\n */\nexport function concatenateArrayBuffers(buffers: ArrayBuffer[]): ArrayBuffer {\n  let totalByteLength = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    totalByteLength += buffer.byteLength;\n  });\n\n  const temp = new Uint8Array(totalByteLength);\n  let offset = 0;\n  buffers.forEach((buffer: ArrayBuffer) => {\n    temp.set(new Uint8Array(buffer), offset);\n    offset += buffer.byteLength;\n  });\n  return temp.buffer;\n}\n\n/**\n * Get the basename of a path.\n *\n * Behaves in a way analogous to Linux's basename command.\n *\n * @param path\n */\nexport function basename(path: string): string {\n  const SEPARATOR = '/';\n  path = path.trim();\n  while (path.endsWith(SEPARATOR)) {\n    path = path.slice(0, path.length - 1);\n  }\n  const items = path.split(SEPARATOR);\n  return items[items.length - 1];\n}\n\n/**\n * Populate ModelArtifactsInfo fields for a model with JSON topology.\n * @param modelArtifacts\n * @returns A ModelArtifactsInfo object.\n */\nexport function getModelArtifactsInfoForJSON(modelArtifacts: ModelArtifacts):\n    ModelArtifactsInfo {\n  if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n    throw new Error('Expected JSON model topology, received ArrayBuffer.');\n  }\n\n  return {\n    dateSaved: new Date(),\n    modelTopologyType: 'JSON',\n    modelTopologyBytes: modelArtifacts.modelTopology == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),\n    weightSpecsBytes: modelArtifacts.weightSpecs == null ?\n        0 :\n        stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),\n    weightDataBytes: modelArtifacts.weightData == null ?\n        0 :\n        modelArtifacts.weightData.byteLength,\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {IOHandler} from './types';\n\nexport type IORouter = (url: string|string[], onProgress?: Function) =>\n    IOHandler;\n\nexport class IORouterRegistry {\n  // Singleton instance.\n  private static instance: IORouterRegistry;\n\n  private saveRouters: IORouter[];\n  private loadRouters: IORouter[];\n\n  private constructor() {\n    this.saveRouters = [];\n    this.loadRouters = [];\n  }\n\n  private static getInstance(): IORouterRegistry {\n    if (IORouterRegistry.instance == null) {\n      IORouterRegistry.instance = new IORouterRegistry();\n    }\n    return IORouterRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerSaveRouter(saveRouter: IORouter) {\n    IORouterRegistry.getInstance().saveRouters.push(saveRouter);\n  }\n\n  /**\n   * Register a load-handler router.\n   *\n   * @param loadRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `load` method defined or `null`.\n   */\n  static registerLoadRouter(loadRouter: IORouter) {\n    IORouterRegistry.getInstance().loadRouters.push(loadRouter);\n  }\n\n  /**\n   * Look up IOHandler for saving, given a URL-like string.\n   *\n   * @param url\n   * @returns If only one match is found, an instance of IOHandler with the\n   * `save` method defined. If no match is found, `null`.\n   * @throws Error, if more than one match is found.\n   */\n  static getSaveHandlers(url: string|string[]): IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'save');\n  }\n\n  /**\n   * Look up IOHandler for loading, given a URL-like string.\n   *\n   * @param url\n   * @param onProgress Optional, progress callback function, fired periodically\n   *   before the load is completed.\n   * @returns All valid handlers for `url`, given the currently registered\n   *   handler routers.\n   */\n  static getLoadHandlers(url: string|string[], onProgress?: Function):\n      IOHandler[] {\n    return IORouterRegistry.getHandlers(url, 'load', onProgress);\n  }\n\n  private static getHandlers(\n      url: string|string[], handlerType: 'save'|'load',\n      onProgress?: Function): IOHandler[] {\n    const validHandlers: IOHandler[] = [];\n    const routers = handlerType === 'load' ?\n        IORouterRegistry.getInstance().loadRouters :\n        IORouterRegistry.getInstance().saveRouters;\n    routers.forEach(router => {\n      const handler = router(url, onProgress);\n      if (handler !== null) {\n        validHandlers.push(handler);\n      }\n    });\n    return validHandlers;\n  }\n}\n\nexport const registerSaveRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerSaveRouter(loudRouter);\nexport const registerLoadRouter = (loudRouter: IORouter) =>\n    IORouterRegistry.registerLoadRouter(loudRouter);\nexport const getSaveHandlers = (url: string|string[]) =>\n    IORouterRegistry.getSaveHandlers(url);\nexport const getLoadHandlers = (url: string|string[], onProgress?: Function) =>\n    IORouterRegistry.getLoadHandlers(url, onProgress);\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * Classes and functions for model management across multiple storage mediums.\n *\n * Supported client actions:\n * - Listing models on all registered storage mediums.\n * - Remove model by URL from any registered storage mediums, by using URL\n *   string.\n * - Moving or copying model from one path to another in the same medium or from\n *   one medium to another, by using URL strings.\n */\n\nimport {assert} from '../util';\n\nimport {IORouterRegistry} from './router_registry';\nimport {ModelArtifactsInfo, ModelStoreManager} from './types';\n\nconst URL_SCHEME_SUFFIX = '://';\n\nexport class ModelStoreManagerRegistry {\n  // Singleton instance.\n  private static instance: ModelStoreManagerRegistry;\n\n  private managers: {[scheme: string]: ModelStoreManager};\n\n  private constructor() {\n    this.managers = {};\n  }\n\n  private static getInstance(): ModelStoreManagerRegistry {\n    if (ModelStoreManagerRegistry.instance == null) {\n      ModelStoreManagerRegistry.instance = new ModelStoreManagerRegistry();\n    }\n    return ModelStoreManagerRegistry.instance;\n  }\n\n  /**\n   * Register a save-handler router.\n   *\n   * @param saveRouter A function that maps a URL-like string onto an instance\n   * of `IOHandler` with the `save` method defined or `null`.\n   */\n  static registerManager(scheme: string, manager: ModelStoreManager) {\n    assert(scheme != null, () => 'scheme must not be undefined or null.');\n    if (scheme.endsWith(URL_SCHEME_SUFFIX)) {\n      scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));\n    }\n    assert(scheme.length > 0, () => 'scheme must not be an empty string.');\n    const registry = ModelStoreManagerRegistry.getInstance();\n    assert(\n        registry.managers[scheme] == null,\n        () => `A model store manager is already registered for scheme '${\n            scheme}'.`);\n    registry.managers[scheme] = manager;\n  }\n\n  static getManager(scheme: string): ModelStoreManager {\n    const manager = this.getInstance().managers[scheme];\n    if (manager == null) {\n      throw new Error(`Cannot find model manager for scheme '${scheme}'`);\n    }\n    return manager;\n  }\n\n  static getSchemes(): string[] {\n    return Object.keys(this.getInstance().managers);\n  }\n}\n\n/**\n * Helper method for parsing a URL string into a scheme and a path.\n *\n * @param url E.g., 'localstorage://my-model'\n * @returns A dictionary with two fields: scheme and path.\n *   Scheme: e.g., 'localstorage' in the example above.\n *   Path: e.g., 'my-model' in the example above.\n */\nfunction parseURL(url: string): {scheme: string, path: string} {\n  if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {\n    throw new Error(\n        `The url string provided does not contain a scheme. ` +\n        `Supported schemes are: ` +\n        `${ModelStoreManagerRegistry.getSchemes().join(',')}`);\n  }\n  return {\n    scheme: url.split(URL_SCHEME_SUFFIX)[0],\n    path: url.split(URL_SCHEME_SUFFIX)[1],\n  };\n}\n\nasync function cloneModelInternal(\n    sourceURL: string, destURL: string,\n    deleteSource = false): Promise<ModelArtifactsInfo> {\n  assert(\n      sourceURL !== destURL,\n      () => `Old path and new path are the same: '${sourceURL}'`);\n\n  const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);\n  assert(\n      loadHandlers.length > 0,\n      () => `Copying failed because no load handler is found for source URL ${\n          sourceURL}.`);\n  assert(\n      loadHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `load handlers for source URL ${sourceURL}.`);\n  const loadHandler = loadHandlers[0];\n\n  const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);\n  assert(\n      saveHandlers.length > 0,\n      () => `Copying failed because no save handler is found for destination ` +\n          `URL ${destURL}.`);\n  assert(\n      saveHandlers.length < 2,\n      () => `Copying failed because more than one (${loadHandlers.length}) ` +\n          `save handlers for destination URL ${destURL}.`);\n  const saveHandler = saveHandlers[0];\n\n  const sourceScheme = parseURL(sourceURL).scheme;\n  const sourcePath = parseURL(sourceURL).path;\n  const sameMedium = sourceScheme === parseURL(sourceURL).scheme;\n\n  const modelArtifacts = await loadHandler.load();\n\n  // If moving within the same storage medium, remove the old model as soon as\n  // the loading is done. Without doing this, it is possible that the combined\n  // size of the two models will cause the cloning to fail.\n  if (deleteSource && sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  const saveResult = await saveHandler.save(modelArtifacts);\n\n  // If moving between mediums, the deletion is done after the save succeeds.\n  // This guards against the case in which saving to the destination medium\n  // fails.\n  if (deleteSource && !sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme)\n        .removeModel(sourcePath);\n  }\n\n  return saveResult.modelArtifactsInfo;\n}\n\n/**\n * List all models stored in registered storage mediums.\n *\n * For a web browser environment, the registered mediums are Local Storage and\n * IndexedDB.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @returns A `Promise` of a dictionary mapping URLs of existing models to\n * their model artifacts info. URLs include medium-specific schemes, e.g.,\n *   'indexeddb://my/model/1'. Model artifacts info include type of the\n * model's topology, byte sizes of the topology, weights, etc.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function listModels(): Promise<{[url: string]: ModelArtifactsInfo}> {\n  const schemes = ModelStoreManagerRegistry.getSchemes();\n  const out: {[url: string]: ModelArtifactsInfo} = {};\n  for (const scheme of schemes) {\n    const schemeOut =\n        await ModelStoreManagerRegistry.getManager(scheme).listModels();\n    for (const path in schemeOut) {\n      const url = scheme + URL_SCHEME_SUFFIX + path;\n      out[url] = schemeOut[path];\n    }\n  }\n  return out;\n}\n\n/**\n * Remove a model specified by URL from a reigstered storage medium.\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Delete the model.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n * ```\n *\n * @param url A URL to a stored model, with a scheme prefix, e.g.,\n *   'localstorage://my-model-1', 'indexeddb://my/model/2'.\n * @returns ModelArtifactsInfo of the deleted model (if and only if deletion\n *   is successful).\n * @throws Error if deletion fails, e.g., if no model exists at `path`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function removeModel(url: string): Promise<ModelArtifactsInfo> {\n  const schemeAndPath = parseURL(url);\n  const manager = ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);\n  return manager.removeModel(schemeAndPath.path);\n}\n\n/**\n * Copy a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Copying within a storage medium, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Copying between two storage mediums, e.g.,\n *    `tf.io.copyModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Copy the model, from Local Storage to IndexedDB.\n * await tf.io.copyModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove both models.\n * await tf.io.removeModel('localstorage://demo/management/model1');\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of copying.\n * @param destURL Destination URL of copying.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if copying fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function copyModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = false;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\n/**\n * Move a model from one URL to another.\n *\n * This function supports:\n *\n * 1. Moving within a storage medium, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'localstorage://model-2')`\n * 2. Moving between two storage mediums, e.g.,\n *    `tf.io.moveModel('localstorage://model-1', 'indexeddb://model-1')`\n *\n * ```js\n * // First create and save a model.\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * await model.save('localstorage://demo/management/model1');\n *\n * // Then list existing models.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Move the model, from Local Storage to IndexedDB.\n * await tf.io.moveModel(\n *     'localstorage://demo/management/model1',\n *     'indexeddb://demo/management/model1');\n *\n * // List models again.\n * console.log(JSON.stringify(await tf.io.listModels()));\n *\n * // Remove the moved model.\n * await tf.io.removeModel('indexeddb://demo/management/model1');\n * ```\n *\n * @param sourceURL Source URL of moving.\n * @param destURL Destination URL of moving.\n * @returns ModelArtifactsInfo of the copied model (if and only if copying\n *   is successful).\n * @throws Error if moving fails, e.g., if no model exists at `sourceURL`, or\n *   if `oldPath` and `newPath` are identical.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Management',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nasync function moveModel(\n    sourceURL: string, destURL: string): Promise<ModelArtifactsInfo> {\n  const deleteSource = true;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\n\nexport {moveModel, copyModel, removeModel, listModels};\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst DATABASE_NAME = 'tensorflowjs';\nconst DATABASE_VERSION = 1;\n\n// Model data and ModelArtifactsInfo (metadata) are stored in two separate\n// stores for efficient access of the list of stored models and their metadata.\n// 1. The object store for model data: topology, weights and weight manifests.\nconst MODEL_STORE_NAME = 'models_store';\n// 2. The object store for ModelArtifactsInfo, including meta-information such\n//    as the type of topology (JSON vs binary), byte size of the topology, byte\n//    size of the weights, etc.\nconst INFO_STORE_NAME = 'model_info_store';\n\n/**\n * Delete the entire database for tensorflow.js, including the models store.\n */\nexport async function deleteDatabase(): Promise<void> {\n  const idbFactory = getIndexedDBFactory();\n\n  return new Promise<void>((resolve, reject) => {\n    const deleteRequest = idbFactory.deleteDatabase(DATABASE_NAME);\n    deleteRequest.onsuccess = () => resolve();\n    deleteRequest.onerror = error => reject(error);\n  });\n}\n\nfunction getIndexedDBFactory(): IDBFactory {\n  if (!env().getBool('IS_BROWSER')) {\n    // TODO(cais): Add more info about what IOHandler subtypes are available.\n    //   Maybe point to a doc page on the web and/or automatically determine\n    //   the available IOHandlers and print them in the error message.\n    throw new Error(\n        'Failed to obtain IndexedDB factory because the current environment' +\n        'is not a web browser.');\n  }\n  // tslint:disable-next-line:no-any\n  const theWindow: any = window || self;\n  const factory = theWindow.indexedDB || theWindow.mozIndexedDB ||\n      theWindow.webkitIndexedDB || theWindow.msIndexedDB ||\n      theWindow.shimIndexedDB;\n  if (factory == null) {\n    throw new Error(\n        'The current browser does not appear to support IndexedDB.');\n  }\n  return factory;\n}\n\nfunction setUpDatabase(openRequest: IDBRequest) {\n  const db = openRequest.result as IDBDatabase;\n  db.createObjectStore(MODEL_STORE_NAME, {keyPath: 'modelPath'});\n  db.createObjectStore(INFO_STORE_NAME, {keyPath: 'modelPath'});\n}\n\n/**\n * IOHandler subclass: Browser IndexedDB.\n *\n * See the doc string of `browserIndexedDB` for more details.\n */\nexport class BrowserIndexedDB implements IOHandler {\n  protected readonly indexedDB: IDBFactory;\n  protected readonly modelPath: string;\n\n  static readonly URL_SCHEME = 'indexeddb://';\n\n  constructor(modelPath: string) {\n    this.indexedDB = getIndexedDBFactory();\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For IndexedDB, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    // TODO(cais): Support saving GraphDef models.\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    return this.databaseAction(this.modelPath, modelArtifacts) as\n        Promise<SaveResult>;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    return this.databaseAction(this.modelPath) as Promise<ModelArtifacts>;\n  }\n\n  /**\n   * Perform database action to put model artifacts into or read model artifacts\n   * from IndexedDB object store.\n   *\n   * Whether the action is put or get depends on whether `modelArtifacts` is\n   * specified. If it is specified, the action will be put; otherwise the action\n   * will be get.\n   *\n   * @param modelPath A unique string path for the model.\n   * @param modelArtifacts If specified, it will be the model artifacts to be\n   *   stored in IndexedDB.\n   * @returns A `Promise` of `SaveResult`, if the action is put, or a `Promise`\n   *   of `ModelArtifacts`, if the action is get.\n   */\n  private databaseAction(modelPath: string, modelArtifacts?: ModelArtifacts):\n      Promise<ModelArtifacts|SaveResult> {\n    return new Promise<ModelArtifacts|SaveResult>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n\n        if (modelArtifacts == null) {\n          // Read model out from object store.\n          const modelTx = db.transaction(MODEL_STORE_NAME, 'readonly');\n          const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n          const getRequest = modelStore.get(this.modelPath);\n          getRequest.onsuccess = () => {\n            if (getRequest.result == null) {\n              db.close();\n              return reject(new Error(\n                  `Cannot find model with path '${this.modelPath}' ` +\n                  `in IndexedDB.`));\n            } else {\n              resolve(getRequest.result.modelArtifacts);\n            }\n          };\n          getRequest.onerror = error => {\n            db.close();\n            return reject(getRequest.error);\n          };\n          modelTx.oncomplete = () => db.close();\n        } else {\n          // Put model into object store.\n          const modelArtifactsInfo: ModelArtifactsInfo =\n              getModelArtifactsInfoForJSON(modelArtifacts);\n          // First, put ModelArtifactsInfo into info store.\n          const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n          let infoStore = infoTx.objectStore(INFO_STORE_NAME);\n          const putInfoRequest =\n              infoStore.put({modelPath: this.modelPath, modelArtifactsInfo});\n          let modelTx: IDBTransaction;\n          putInfoRequest.onsuccess = () => {\n            // Second, put model data into model store.\n            modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n            const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n            const putModelRequest = modelStore.put({\n              modelPath: this.modelPath,\n              modelArtifacts,\n              modelArtifactsInfo\n            });\n            putModelRequest.onsuccess = () => resolve({modelArtifactsInfo});\n            putModelRequest.onerror = error => {\n              // If the put-model request fails, roll back the info entry as\n              // well.\n              infoStore = infoTx.objectStore(INFO_STORE_NAME);\n              const deleteInfoRequest = infoStore.delete(this.modelPath);\n              deleteInfoRequest.onsuccess = () => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n              deleteInfoRequest.onerror = error => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n            };\n          };\n          putInfoRequest.onerror = error => {\n            db.close();\n            return reject(putInfoRequest.error);\n          };\n          infoTx.oncomplete = () => {\n            if (modelTx == null) {\n              db.close();\n            } else {\n              modelTx.oncomplete = () => db.close();\n            }\n          };\n        }\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nexport const indexedDBRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserIndexedDB.URL_SCHEME)) {\n      return browserIndexedDB(url.slice(BrowserIndexedDB.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(indexedDBRouter);\nIORouterRegistry.registerLoadRouter(indexedDBRouter);\n\n/**\n * Creates a browser IndexedDB IOHandler for saving and loading models.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save('indexeddb://MyModel'));\n * console.log(saveResult);\n * ```\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),\n *   which can be used with, e.g., `tf.Model.save`.\n */\nexport function browserIndexedDB(modelPath: string): IOHandler {\n  return new BrowserIndexedDB(modelPath);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserIndexedDB.URL_SCHEME) ?\n      key.slice(BrowserIndexedDB.URL_SCHEME.length) :\n      key;\n}\n\nexport class BrowserIndexedDBManager implements ModelStoreManager {\n  private indexedDB: IDBFactory;\n\n  constructor() {\n    this.indexedDB = getIndexedDBFactory();\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    return new Promise<{[path: string]: ModelArtifactsInfo}>(\n        (resolve, reject) => {\n          const openRequest =\n              this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n          openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n          openRequest.onsuccess = () => {\n            const db = openRequest.result;\n            const tx = db.transaction(INFO_STORE_NAME, 'readonly');\n            const store = tx.objectStore(INFO_STORE_NAME);\n            // tslint:disable:max-line-length\n            // Need to cast `store` as `any` here because TypeScript's DOM\n            // library does not have the `getAll()` method even though the\n            // method is supported in the latest version of most mainstream\n            // browsers:\n            // https://developer.mozilla.org/en-US/docs/Web/API/IDBObjectStore/getAll\n            // tslint:enable:max-line-length\n            // tslint:disable-next-line:no-any\n            const getAllInfoRequest = (store as any).getAll() as IDBRequest;\n            getAllInfoRequest.onsuccess = () => {\n              const out: {[path: string]: ModelArtifactsInfo} = {};\n              for (const item of getAllInfoRequest.result) {\n                out[item.modelPath] = item.modelArtifactsInfo;\n              }\n              resolve(out);\n            };\n            getAllInfoRequest.onerror = error => {\n              db.close();\n              return reject(getAllInfoRequest.error);\n            };\n            tx.oncomplete = () => db.close();\n          };\n          openRequest.onerror = error => reject(openRequest.error);\n        });\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    return new Promise<ModelArtifactsInfo>((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n        const infoTx = db.transaction(INFO_STORE_NAME, 'readwrite');\n        const infoStore = infoTx.objectStore(INFO_STORE_NAME);\n\n        const getInfoRequest = infoStore.get(path);\n        let modelTx: IDBTransaction;\n        getInfoRequest.onsuccess = () => {\n          if (getInfoRequest.result == null) {\n            db.close();\n            return reject(new Error(\n                `Cannot find model with path '${path}' ` +\n                `in IndexedDB.`));\n          } else {\n            // First, delete the entry in the info store.\n            const deleteInfoRequest = infoStore.delete(path);\n            const deleteModelData = () => {\n              // Second, delete the entry in the model store.\n              modelTx = db.transaction(MODEL_STORE_NAME, 'readwrite');\n              const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n              const deleteModelRequest = modelStore.delete(path);\n              deleteModelRequest.onsuccess = () =>\n                  resolve(getInfoRequest.result.modelArtifactsInfo);\n              deleteModelRequest.onerror = error =>\n                  reject(getInfoRequest.error);\n            };\n            // Proceed with deleting model data regardless of whether deletion\n            // of info data succeeds or not.\n            deleteInfoRequest.onsuccess = deleteModelData;\n            deleteInfoRequest.onerror = error => {\n              deleteModelData();\n              db.close();\n              return reject(getInfoRequest.error);\n            };\n          }\n        };\n        getInfoRequest.onerror = error => {\n          db.close();\n          return reject(getInfoRequest.error);\n        };\n\n        infoTx.oncomplete = () => {\n          if (modelTx == null) {\n            db.close();\n          } else {\n            modelTx.oncomplete = () => db.close();\n          }\n        };\n      };\n      openRequest.onerror = error => reject(openRequest.error);\n    });\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {arrayBufferToBase64String, base64StringToArrayBuffer, getModelArtifactsInfoForJSON} from './io_utils';\nimport {ModelStoreManagerRegistry} from './model_management';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelArtifactsInfo, ModelStoreManager, SaveResult} from './types';\n\nconst PATH_SEPARATOR = '/';\nconst PATH_PREFIX = 'tensorflowjs_models';\nconst INFO_SUFFIX = 'info';\nconst MODEL_TOPOLOGY_SUFFIX = 'model_topology';\nconst WEIGHT_SPECS_SUFFIX = 'weight_specs';\nconst WEIGHT_DATA_SUFFIX = 'weight_data';\nconst MODEL_METADATA_SUFFIX = 'model_metadata';\n\n/**\n * Purge all tensorflow.js-saved model artifacts from local storage.\n *\n * @returns Paths of the models purged.\n */\nexport function purgeLocalStorageArtifacts(): string[] {\n  if (!env().getBool('IS_BROWSER') ||\n      typeof window === 'undefined' ||\n      typeof window.localStorage === 'undefined') {\n    throw new Error(\n        'purgeLocalStorageModels() cannot proceed because local storage is ' +\n        'unavailable in the current environment.');\n  }\n  const LS = window.localStorage;\n  const purgedModelPaths: string[] = [];\n  for (let i = 0; i < LS.length; ++i) {\n    const key = LS.key(i);\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    if (key.startsWith(prefix) && key.length > prefix.length) {\n      LS.removeItem(key);\n      const modelName = getModelPathFromKey(key);\n      if (purgedModelPaths.indexOf(modelName) === -1) {\n        purgedModelPaths.push(modelName);\n      }\n    }\n  }\n  return purgedModelPaths;\n}\n\nfunction getModelKeys(path: string): {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n} {\n  return {\n    info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),\n    topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),\n    weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),\n    weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),\n    modelMetadata:\n        [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR)\n  };\n}\n\n/**\n * Get model path from a local-storage key.\n *\n * E.g., 'tensorflowjs_models/my/model/1/info' --> 'my/model/1'\n *\n * @param key\n */\nfunction getModelPathFromKey(key: string) {\n  const items = key.split(PATH_SEPARATOR);\n  if (items.length < 3) {\n    throw new Error(`Invalid key format: ${key}`);\n  }\n  return items.slice(1, items.length - 1).join(PATH_SEPARATOR);\n}\n\nfunction maybeStripScheme(key: string) {\n  return key.startsWith(BrowserLocalStorage.URL_SCHEME) ?\n      key.slice(BrowserLocalStorage.URL_SCHEME.length) :\n      key;\n}\n\ndeclare type LocalStorageKeys = {\n  info: string,\n  topology: string,\n  weightSpecs: string,\n  weightData: string,\n  modelMetadata: string\n};\n\n/**\n * IOHandler subclass: Browser Local Storage.\n *\n * See the doc string to `browserLocalStorage` for more details.\n */\nexport class BrowserLocalStorage implements IOHandler {\n  protected readonly LS: Storage;\n  protected readonly modelPath: string;\n  protected readonly keys: LocalStorageKeys;\n\n  static readonly URL_SCHEME = 'localstorage://';\n\n  constructor(modelPath: string) {\n    if (!env().getBool('IS_BROWSER') ||\n          typeof window === 'undefined' ||\n          typeof window.localStorage === 'undefined') {\n      // TODO(cais): Add more info about what IOHandler subtypes are\n      // available.\n      //   Maybe point to a doc page on the web and/or automatically determine\n      //   the available IOHandlers and print them in the error message.\n      throw new Error(\n          'The current environment does not support local storage.');\n    }\n    this.LS = window.localStorage;\n\n    if (modelPath == null || !modelPath) {\n      throw new Error(\n          'For local storage, modelPath must not be null, undefined or empty.');\n    }\n    this.modelPath = modelPath;\n    this.keys = getModelKeys(this.modelPath);\n  }\n\n  /**\n   * Save model artifacts to browser local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @param modelArtifacts The model artifacts to be stored.\n   * @returns An instance of SaveResult.\n   */\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserLocalStorage.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const topology = JSON.stringify(modelArtifacts.modelTopology);\n      const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);\n\n      const modelArtifactsInfo: ModelArtifactsInfo =\n          getModelArtifactsInfoForJSON(modelArtifacts);\n\n      try {\n        this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));\n        this.LS.setItem(this.keys.topology, topology);\n        this.LS.setItem(this.keys.weightSpecs, weightSpecs);\n        this.LS.setItem(\n            this.keys.weightData,\n            arrayBufferToBase64String(modelArtifacts.weightData));\n        this.LS.setItem(this.keys.modelMetadata, JSON.stringify({\n          format: modelArtifacts.format,\n          generatedBy: modelArtifacts.generatedBy,\n          convertedBy: modelArtifacts.convertedBy,\n          userDefinedMetadata: modelArtifacts.userDefinedMetadata\n        }));\n\n        return {modelArtifactsInfo};\n      } catch (err) {\n        // If saving failed, clean up all items saved so far.\n        this.LS.removeItem(this.keys.info);\n        this.LS.removeItem(this.keys.topology);\n        this.LS.removeItem(this.keys.weightSpecs);\n        this.LS.removeItem(this.keys.weightData);\n        this.LS.removeItem(this.keys.modelMetadata);\n\n        throw new Error(\n            `Failed to save model '${this.modelPath}' to local storage: ` +\n            `size quota being exceeded is a possible cause of this failure: ` +\n            `modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, ` +\n            `weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, ` +\n            `weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`);\n      }\n    }\n  }\n\n  /**\n   * Load a model from local storage.\n   *\n   * See the documentation to `browserLocalStorage` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const info =\n        JSON.parse(this.LS.getItem(this.keys.info)) as ModelArtifactsInfo;\n    if (info == null) {\n      throw new Error(\n          `In local storage, there is no model with name '${this.modelPath}'`);\n    }\n\n    if (info.modelTopologyType !== 'JSON') {\n      throw new Error(\n          'BrowserLocalStorage does not support loading non-JSON model ' +\n          'topology yet.');\n    }\n\n    const out: ModelArtifacts = {};\n\n    // Load topology.\n    const topology = JSON.parse(this.LS.getItem(this.keys.topology));\n    if (topology == null) {\n      throw new Error(\n          `In local storage, the topology of model '${this.modelPath}' ` +\n          `is missing.`);\n    }\n    out.modelTopology = topology;\n\n    // Load weight specs.\n    const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));\n    if (weightSpecs == null) {\n      throw new Error(\n          `In local storage, the weight specs of model '${this.modelPath}' ` +\n          `are missing.`);\n    }\n    out.weightSpecs = weightSpecs;\n\n    // Load meta-data fields.\n    const metadataString = this.LS.getItem(this.keys.modelMetadata);\n    if (metadataString != null) {\n      const metadata = JSON.parse(metadataString) as ModelArtifacts;\n      out.format = metadata['format'];\n      out.generatedBy = metadata['generatedBy'];\n      out.convertedBy = metadata['convertedBy'];\n      out.userDefinedMetadata = metadata['userDefinedMetadata'];\n    }\n\n    // Load weight data.\n    const weightDataBase64 = this.LS.getItem(this.keys.weightData);\n    if (weightDataBase64 == null) {\n      throw new Error(\n          `In local storage, the binary weight values of model ` +\n          `'${this.modelPath}' are missing.`);\n    }\n    out.weightData = base64StringToArrayBuffer(weightDataBase64);\n\n    return out;\n  }\n}\n\nexport const localStorageRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserLocalStorage.URL_SCHEME)) {\n      return browserLocalStorage(\n          url.slice(BrowserLocalStorage.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(localStorageRouter);\nIORouterRegistry.registerLoadRouter(localStorageRouter);\n\n/**\n * Factory function for local storage IOHandler.\n *\n * This `IOHandler` supports both `save` and `load`.\n *\n * For each model's saved artifacts, four items are saved to local storage.\n *   - `${PATH_SEPARATOR}/${modelPath}/info`: Contains meta-info about the\n *     model, such as date saved, type of the topology, size in bytes, etc.\n *   - `${PATH_SEPARATOR}/${modelPath}/topology`: Model topology. For Keras-\n *     style models, this is a stringized JSON.\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_specs`: Weight specs of the\n *     model, can be used to decode the saved binary weight values (see\n *     item below).\n *   - `${PATH_SEPARATOR}/${modelPath}/weight_data`: Concatenated binary\n *     weight values, stored as a base64-encoded string.\n *\n * Saving may throw an `Error` if the total size of the artifacts exceed the\n * browser-specific quota.\n *\n * @param modelPath A unique identifier for the model to be saved. Must be a\n *   non-empty string.\n * @returns An instance of `IOHandler`, which can be used with, e.g.,\n *   `tf.Model.save`.\n */\nexport function browserLocalStorage(modelPath: string): IOHandler {\n  return new BrowserLocalStorage(modelPath);\n}\n\nexport class BrowserLocalStorageManager implements ModelStoreManager {\n  private readonly LS: Storage;\n\n  constructor() {\n    assert(\n        env().getBool('IS_BROWSER'),\n        () => 'Current environment is not a web browser');\n    assert(\n        typeof window === 'undefined' ||\n        typeof window.localStorage !== 'undefined',\n        () => 'Current browser does not appear to support localStorage');\n    this.LS = window.localStorage;\n  }\n\n  async listModels(): Promise<{[path: string]: ModelArtifactsInfo}> {\n    const out: {[path: string]: ModelArtifactsInfo} = {};\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    const suffix = PATH_SEPARATOR + INFO_SUFFIX;\n    for (let i = 0; i < this.LS.length; ++i) {\n      const key = this.LS.key(i);\n      if (key.startsWith(prefix) && key.endsWith(suffix)) {\n        const modelPath = getModelPathFromKey(key);\n        out[modelPath] = JSON.parse(this.LS.getItem(key)) as ModelArtifactsInfo;\n      }\n    }\n    return out;\n  }\n\n  async removeModel(path: string): Promise<ModelArtifactsInfo> {\n    path = maybeStripScheme(path);\n    const keys = getModelKeys(path);\n    if (this.LS.getItem(keys.info) == null) {\n      throw new Error(`Cannot find model at path '${path}'`);\n    }\n    const info = JSON.parse(this.LS.getItem(keys.info)) as ModelArtifactsInfo;\n\n    this.LS.removeItem(keys.info);\n    this.LS.removeItem(keys.topology);\n    this.LS.removeItem(keys.weightSpecs);\n    this.LS.removeItem(keys.weightData);\n    return info;\n  }\n}\n\nif (env().getBool('IS_BROWSER')) {\n  // Wrap the construction and registration, to guard against browsers that\n  // don't support Local Storage.\n  try {\n    ModelStoreManagerRegistry.registerManager(\n        BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n  } catch (err) {\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers related to files, such as browser-triggered file downloads,\n * user-selected files in browser.\n */\n\nimport {env} from '../environment';\n\nimport {basename, concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, ModelArtifacts, ModelJSON, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\nconst DEFAULT_FILE_NAME_PREFIX = 'model';\nconst DEFAULT_JSON_EXTENSION_NAME = '.json';\nconst DEFAULT_WEIGHT_DATA_EXTENSION_NAME = '.weights.bin';\n\nfunction defer<T>(f: () => T): Promise<T> {\n  return new Promise(resolve => setTimeout(resolve)).then(f);\n}\n\nexport class BrowserDownloads implements IOHandler {\n  private readonly modelTopologyFileName: string;\n  private readonly weightDataFileName: string;\n  private readonly jsonAnchor: HTMLAnchorElement;\n  private readonly weightDataAnchor: HTMLAnchorElement;\n\n  static readonly URL_SCHEME = 'downloads://';\n\n  constructor(fileNamePrefix?: string) {\n    if (!env().getBool('IS_BROWSER')) {\n      // TODO(cais): Provide info on what IOHandlers are available under the\n      //   current environment.\n      throw new Error(\n          'browserDownloads() cannot proceed because the current environment ' +\n          'is not a browser.');\n    }\n\n    if (fileNamePrefix.startsWith(BrowserDownloads.URL_SCHEME)) {\n      fileNamePrefix = fileNamePrefix.slice(BrowserDownloads.URL_SCHEME.length);\n    }\n    if (fileNamePrefix == null || fileNamePrefix.length === 0) {\n      fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;\n    }\n\n    this.modelTopologyFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;\n    this.weightDataFileName =\n        fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (typeof (document) === 'undefined') {\n      throw new Error(\n          'Browser downloads are not supported in ' +\n          'this environment since `document` is not present');\n    }\n    const weightsURL = window.URL.createObjectURL(new Blob(\n        [modelArtifacts.weightData], {type: 'application/octet-stream'}));\n\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserDownloads.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    } else {\n      const weightsManifest: WeightsManifestConfig = [{\n        paths: ['./' + this.weightDataFileName],\n        weights: modelArtifacts.weightSpecs\n      }];\n      const modelTopologyAndWeightManifest: ModelJSON = {\n        modelTopology: modelArtifacts.modelTopology,\n        format: modelArtifacts.format,\n        generatedBy: modelArtifacts.generatedBy,\n        convertedBy: modelArtifacts.convertedBy,\n        weightsManifest\n      };\n      const modelTopologyAndWeightManifestURL =\n          window.URL.createObjectURL(new Blob(\n              [JSON.stringify(modelTopologyAndWeightManifest)],\n              {type: 'application/json'}));\n\n      // If anchor elements are not provided, create them without attaching them\n      // to parents, so that the downloaded file names can be controlled.\n      const jsonAnchor = this.jsonAnchor == null ? document.createElement('a') :\n                                                   this.jsonAnchor;\n      jsonAnchor.download = this.modelTopologyFileName;\n      jsonAnchor.href = modelTopologyAndWeightManifestURL;\n      // Trigger downloads by evoking a click event on the download anchors.\n      // When multiple downloads are started synchronously, Firefox will only\n      // save the last one.\n      await defer(() => jsonAnchor.dispatchEvent(new MouseEvent('click')));\n\n      if (modelArtifacts.weightData != null) {\n        const weightDataAnchor = this.weightDataAnchor == null ?\n            document.createElement('a') :\n            this.weightDataAnchor;\n        weightDataAnchor.download = this.weightDataFileName;\n        weightDataAnchor.href = weightsURL;\n        await defer(\n            () => weightDataAnchor.dispatchEvent(new MouseEvent('click')));\n      }\n\n      return {modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts)};\n    }\n  }\n}\n\nclass BrowserFiles implements IOHandler {\n  private readonly files: File[];\n\n  constructor(files: File[]) {\n    if (files == null || files.length < 1) {\n      throw new Error(\n          `When calling browserFiles, at least 1 file is required, ` +\n          `but received ${files}`);\n    }\n    this.files = files;\n  }\n\n  async load(): Promise<ModelArtifacts> {\n    const jsonFile = this.files[0];\n    const weightFiles = this.files.slice(1);\n\n    return new Promise<ModelArtifacts>((resolve, reject) => {\n      const jsonReader = new FileReader();\n      jsonReader.onload = (event: Event) => {\n        // tslint:disable-next-line:no-any\n        const modelJSON = JSON.parse((event.target as any).result) as ModelJSON;\n        const modelTopology = modelJSON.modelTopology;\n        if (modelTopology == null) {\n          reject(new Error(\n              `modelTopology field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        if (weightFiles.length === 0) {\n          resolve({modelTopology});\n        }\n\n        const weightsManifest = modelJSON.weightsManifest;\n        if (weightsManifest == null) {\n          reject(new Error(\n              `weightManifest field is missing from file ${jsonFile.name}`));\n          return;\n        }\n\n        let pathToFile: {[path: string]: File};\n        try {\n          pathToFile =\n              this.checkManifestAndWeightFiles(weightsManifest, weightFiles);\n        } catch (err) {\n          reject(err);\n          return;\n        }\n\n        const weightSpecs: WeightsManifestEntry[] = [];\n        const paths: string[] = [];\n        const perFileBuffers: ArrayBuffer[] = [];\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            paths.push(path);\n            perFileBuffers.push(null);\n          });\n          weightSpecs.push(...weightsGroup.weights);\n        });\n\n        weightsManifest.forEach(weightsGroup => {\n          weightsGroup.paths.forEach(path => {\n            const weightFileReader = new FileReader();\n            weightFileReader.onload = (event: Event) => {\n              // tslint:disable-next-line:no-any\n              const weightData = (event.target as any).result as ArrayBuffer;\n              const index = paths.indexOf(path);\n              perFileBuffers[index] = weightData;\n              if (perFileBuffers.indexOf(null) === -1) {\n                resolve({\n                  modelTopology,\n                  weightSpecs,\n                  weightData: concatenateArrayBuffers(perFileBuffers),\n                  format: modelJSON.format,\n                  generatedBy: modelJSON.generatedBy,\n                  convertedBy: modelJSON.convertedBy,\n                  userDefinedMetadata: modelJSON.userDefinedMetadata\n                });\n              }\n            };\n            weightFileReader.onerror = error =>\n                reject(`Failed to weights data from file of path '${path}'.`);\n            weightFileReader.readAsArrayBuffer(pathToFile[path]);\n          });\n        });\n      };\n      jsonReader.onerror = error => reject(\n          `Failed to read model topology and weights manifest JSON ` +\n          `from file '${jsonFile.name}'. BrowserFiles supports loading ` +\n          `Keras-style tf.Model artifacts only.`);\n      jsonReader.readAsText(jsonFile);\n    });\n  }\n\n  /**\n   * Check the compatibility between weights manifest and weight files.\n   */\n  private checkManifestAndWeightFiles(\n      manifest: WeightsManifestConfig, files: File[]): {[path: string]: File} {\n    const basenames: string[] = [];\n    const fileNames = files.map(file => basename(file.name));\n    const pathToFile: {[path: string]: File} = {};\n    for (const group of manifest) {\n      group.paths.forEach(path => {\n        const pathBasename = basename(path);\n        if (basenames.indexOf(pathBasename) !== -1) {\n          throw new Error(\n              `Duplicate file basename found in weights manifest: ` +\n              `'${pathBasename}'`);\n        }\n        basenames.push(pathBasename);\n        if (fileNames.indexOf(pathBasename) === -1) {\n          throw new Error(\n              `Weight file with basename '${pathBasename}' is not provided.`);\n        } else {\n          pathToFile[path] = files[fileNames.indexOf(pathBasename)];\n        }\n      });\n    }\n\n    if (basenames.length !== files.length) {\n      throw new Error(\n          `Mismatch in the number of files in weights manifest ` +\n          `(${basenames.length}) and the number of weight files provided ` +\n          `(${files.length}).`);\n    }\n    return pathToFile;\n  }\n}\n\nexport const browserDownloadsRouter: IORouter = (url: string|string[]) => {\n  if (!env().getBool('IS_BROWSER')) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserDownloads.URL_SCHEME)) {\n      return browserDownloads(url.slice(BrowserDownloads.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(browserDownloadsRouter);\n\n/**\n * Creates an IOHandler that triggers file downloads from the browser.\n *\n * The returned `IOHandler` instance can be used as model exporting methods such\n * as `tf.Model.save` and supports only saving.\n *\n * ```js\n * const model = tf.sequential();\n * model.add(tf.layers.dense(\n *     {units: 1, inputShape: [10], activation: 'sigmoid'}));\n * const saveResult = await model.save('downloads://mymodel');\n * // This will trigger downloading of two files:\n * //   'mymodel.json' and 'mymodel.weights.bin'.\n * console.log(saveResult);\n * ```\n *\n * @param fileNamePrefix Prefix name of the files to be downloaded. For use with\n *   `tf.Model`, `fileNamePrefix` should follow either of the following two\n *   formats:\n *   1. `null` or `undefined`, in which case the default file\n *      names will be used:\n *      - 'model.json' for the JSON file containing the model topology and\n *        weights manifest.\n *      - 'model.weights.bin' for the binary file containing the binary weight\n *        values.\n *   2. A single string or an Array of a single string, as the file name prefix.\n *      For example, if `'foo'` is provided, the downloaded JSON\n *      file and binary weights file will be named 'foo.json' and\n *      'foo.weights.bin', respectively.\n * @param config Additional configuration for triggering downloads.\n * @returns An instance of `BrowserDownloads` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserDownloads(fileNamePrefix = 'model'): IOHandler {\n  return new BrowserDownloads(fileNamePrefix);\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from user-selected files.\n *\n * This method can be used for loading from files such as user-selected files\n * in the browser.\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * // Note: This code snippet won't run properly without the actual file input\n * //   elements in the HTML DOM.\n *\n * // Suppose there are two HTML file input (`<input type=\"file\" ...>`)\n * // elements.\n * const uploadJSONInput = document.getElementById('upload-json');\n * const uploadWeightsInput = document.getElementById('upload-weights');\n * const model = await tf.loadLayersModel(tf.io.browserFiles(\n *     [uploadJSONInput.files[0], uploadWeightsInput.files[0]]));\n * ```\n *\n * @param files `File`s to load from. Currently, this function supports only\n *   loading from files that contain Keras-style models (i.e., `tf.Model`s), for\n *   which an `Array` of `File`s is expected (in that order):\n *   - A JSON file containing the model topology and weight manifest.\n *   - Optionally, One or more binary files containing the binary weights.\n *     These files must have names that match the paths in the `weightsManifest`\n *     contained by the aforementioned JSON file, or errors will be thrown\n *     during loading. These weights files have the same format as the ones\n *     generated by `tensorflowjs_converter` that comes with the `tensorflowjs`\n *     Python PIP package. If no weights files are provided, only the model\n *     topology will be loaded from the JSON file above.\n * @returns An instance of `Files` `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function browserFiles(files: File[]): IOHandler {\n  return new BrowserFiles(files);\n}\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from '../util';\n\nimport {OnProgressCallback} from './types';\n\n/**\n * Monitor Promise.all progress, fire onProgress callback function.\n *\n * @param promises Promise list going to be monitored\n * @param onProgress Callback function. Fired when a promise resolved.\n * @param startFraction Optional fraction start. Default to 0.\n * @param endFraction Optional fraction end. Default to 1.\n */\nexport function monitorPromisesProgress(\n    promises: Array<Promise<{}|void>>, onProgress: OnProgressCallback,\n    startFraction?: number, endFraction?: number) {\n  checkPromises(promises);\n  startFraction = startFraction == null ? 0 : startFraction;\n  endFraction = endFraction == null ? 1 : endFraction;\n  checkFraction(startFraction, endFraction);\n  let resolvedPromise = 0;\n\n  const registerMonitor = (promise: Promise<{}>) => {\n    promise.then(value => {\n      const fraction = startFraction +\n          ++resolvedPromise / promises.length * (endFraction - startFraction);\n      // pass fraction as parameter to callback function.\n      onProgress(fraction);\n      return value;\n    });\n    return promise;\n  };\n\n  function checkPromises(promises: Array<Promise<{}|void>>): void {\n    assert(\n        promises != null && Array.isArray(promises) && promises.length > 0,\n        () => 'promises must be a none empty array');\n  }\n\n  function checkFraction(startFraction: number, endFraction: number): void {\n    assert(\n        startFraction >= 0 && startFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got startFraction ${startFraction}`);\n    assert(\n        endFraction >= 0 && endFraction <= 1,\n        () => `Progress fraction must be in range [0, 1], but ` +\n            `got endFraction ${endFraction}`);\n    assert(\n        endFraction >= startFraction,\n        () => `startFraction must be no more than endFraction, but ` +\n            `got startFraction ${startFraction} and endFraction ` +\n            `${endFraction}`);\n  }\n\n  return Promise.all(promises.map(registerMonitor));\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {env} from '../environment';\n\nimport {NamedTensorMap} from '../tensor_types';\nimport * as util from '../util';\nimport {decodeWeights} from './io_utils';\nimport {monitorPromisesProgress} from './progress';\nimport {DTYPE_VALUE_SIZE_MAP, LoadOptions, WeightsManifestConfig, WeightsManifestEntry} from './types';\n\n/**\n * Reads binary weights data from a number of URLs.\n *\n * @param fetchURLs URLs to send the HTTP requests at, using `fetch` calls.\n * @param requestOptions RequestInit (options) for the HTTP requests.\n * @param fetchFunc Optional overriding value for the `window.fetch` function.\n * @param onProgress Optional, progress callback function, fired periodically\n *   before the load is completed.\n * @returns A `Promise` of an Array of `ArrayBuffer`. The Array has the same\n *   length as `fetchURLs`.\n */\nexport async function loadWeightsAsArrayBuffer(\n    fetchURLs: string[], loadOptions?: LoadOptions): Promise<ArrayBuffer[]> {\n  if (loadOptions == null) {\n    loadOptions = {};\n  }\n\n  const fetchFunc = loadOptions.fetchFunc == null ? env().platform.fetch :\n                                                    loadOptions.fetchFunc;\n\n  // Create the requests for all of the weights in parallel.\n  const requests = fetchURLs.map(\n      fetchURL =>\n          fetchFunc(fetchURL, loadOptions.requestInit, {isBinary: true}));\n\n  const fetchStartFraction = 0;\n  const fetchEndFraction = 0.5;\n\n  const responses = loadOptions.onProgress == null ?\n      await Promise.all(requests) :\n      await monitorPromisesProgress(\n          requests, loadOptions.onProgress, fetchStartFraction,\n          fetchEndFraction);\n\n  const bufferPromises = responses.map(response => response.arrayBuffer());\n\n  const bufferStartFraction = 0.5;\n  const bufferEndFraction = 1;\n\n  const buffers = loadOptions.onProgress == null ?\n      await Promise.all(bufferPromises) :\n      await monitorPromisesProgress(\n          bufferPromises, loadOptions.onProgress, bufferStartFraction,\n          bufferEndFraction);\n  return buffers;\n}\n\n/**\n * Reads a weights manifest JSON configuration, fetches the weights and\n * returns them as `Tensor`s.\n *\n * @param manifest The weights manifest JSON.\n * @param filePathPrefix The path prefix for filenames given in the manifest.\n *     Defaults to the empty string.\n * @param weightNames The names of the weights to be fetched.\n */\nexport async function loadWeights(\n    manifest: WeightsManifestConfig, filePathPrefix = '',\n    weightNames?: string[],\n    requestInit?: RequestInit): Promise<NamedTensorMap> {\n  // TODO(nsthorat): Groups are currently fetched atomically. If you need a\n  // single weight from a group, the whole group will be fetched. At a future\n  // date, we should support fetching only the individual shards within a\n  // group that are needed to reconstruct the requested weight.\n  // TODO(cais): Use `decodeWeights` for implementation.\n\n  const fetchWeights = (fetchUrls: string[]) =>\n      loadWeightsAsArrayBuffer(fetchUrls, {requestInit});\n  const loadWeights = weightsLoaderFactory(fetchWeights);\n\n  return loadWeights(manifest, filePathPrefix, weightNames);\n}\n\n/**\n * Creates a function, which reads a weights manifest JSON configuration,\n * fetches the weight files using the specified function and returns them as\n * `Tensor`s.\n *\n * ```js\n * // example for creating a nodejs weight loader, which reads the weight files\n * // from disk using fs.readFileSync\n *\n * import * as fs from 'fs'\n *\n * const fetchWeightsFromDisk = (filePaths: string[]) =>\n *   filePaths.map(filePath => fs.readFileSync(filePath).buffer)\n *\n * const loadWeights = tf.io.weightsLoaderFactory(fetchWeightsFromDisk)\n *\n * const manifest = JSON.parse(\n *   fs.readFileSync('./my_model-weights_manifest').toString()\n * )\n * const weightMap = await loadWeights(manifest, './')\n * ```\n * @param fetchWeightsFunction The function used for fetching the weight files.\n * @returns Weight loading function.\n */\nexport function weightsLoaderFactory(\n    fetchWeightsFunction: (fetchUrls: string[]) => Promise<ArrayBuffer[]>):\n    (manifest: WeightsManifestConfig, filePathPrefix?: string,\n     weightNames?: string[]) => Promise<NamedTensorMap> {\n  return async(\n             manifest: WeightsManifestConfig, filePathPrefix = '',\n             weightNames?: string[]): Promise<NamedTensorMap> => {\n    // Collect all the groups, weights, and their relative offsets to be\n    // fetched.\n    const groupIndicesToFetchMap = manifest.map(() => false);\n    const groupWeightsToFetch: {\n      [group: number]: Array<{\n        manifestEntry: WeightsManifestEntry; groupOffset: number;\n        sizeBytes: number;\n      }>\n    } = {};\n    const weightsFound =\n        weightNames != null ? weightNames.map(() => false) : [];\n    const allManifestWeightNames: string[] = [];\n    manifest.forEach((manifestGroupConfig, groupIndex) => {\n      let groupOffset = 0;\n      manifestGroupConfig.weights.forEach(weightsEntry => {\n        const rawDtype = ('quantization' in weightsEntry) ?\n            weightsEntry.quantization.dtype :\n            weightsEntry.dtype;\n\n        const weightsBytes = DTYPE_VALUE_SIZE_MAP[rawDtype] *\n            util.sizeFromShape(weightsEntry.shape);\n\n        const enqueueWeightsForFetchingFn = () => {\n          groupIndicesToFetchMap[groupIndex] = true;\n          if (groupWeightsToFetch[groupIndex] == null) {\n            groupWeightsToFetch[groupIndex] = [];\n          }\n\n          groupWeightsToFetch[groupIndex].push({\n            manifestEntry: weightsEntry,\n            groupOffset,\n            sizeBytes: weightsBytes\n          });\n        };\n\n        if (weightNames != null) {\n          weightNames.forEach((weightName, weightIndex) => {\n            if (weightName === weightsEntry.name) {\n              enqueueWeightsForFetchingFn();\n              weightsFound[weightIndex] = true;\n            }\n          });\n        } else {\n          enqueueWeightsForFetchingFn();\n        }\n\n        allManifestWeightNames.push(weightsEntry.name);\n        groupOffset += weightsBytes;\n      });\n    });\n\n    if (!weightsFound.every(found => found)) {\n      const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);\n      throw new Error(\n          `Could not find weights in manifest with names: ` +\n          `${weightsNotFound.join(', ')}. \\n` +\n          `Manifest JSON has weights with names: ` +\n          `${allManifestWeightNames.join(', ')}.`);\n    }\n\n    // Convert the one-hot boolean groupId => shouldFetch map to a list of group\n    // IDs.\n    const groupIndicesToFetch =\n        groupIndicesToFetchMap.reduce((accumulator, shouldFetch, i) => {\n          if (shouldFetch) {\n            accumulator.push(i);\n          }\n          return accumulator;\n        }, []);\n\n    const fetchUrls: string[] = [];\n    groupIndicesToFetch.forEach(i => {\n      manifest[i].paths.forEach(filepath => {\n        const fetchUrl = filePathPrefix +\n            (!filePathPrefix.endsWith('/') ? '/' : '') + filepath;\n        fetchUrls.push(fetchUrl);\n      });\n    });\n    const buffers = await fetchWeightsFunction(fetchUrls);\n\n    const weightsTensorMap: NamedTensorMap = {};\n    let bufferIndexOffset = 0;\n    groupIndicesToFetch.forEach(i => {\n      const numBuffers = manifest[i].paths.length;\n\n      let groupBytes = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        groupBytes += buffers[bufferIndexOffset + i].byteLength;\n      }\n\n      // Create a buffer for the whole group.\n      const groupBuffer = new ArrayBuffer(groupBytes);\n      const groupByteBuffer = new Uint8Array(groupBuffer);\n      let groupBufferOffset = 0;\n      for (let i = 0; i < numBuffers; i++) {\n        const buffer = new Uint8Array(buffers[bufferIndexOffset + i]);\n        groupByteBuffer.set(buffer, groupBufferOffset);\n        groupBufferOffset += buffer.byteLength;\n      }\n\n      const weightsEntries = groupWeightsToFetch[i];\n      weightsEntries.forEach(weightsEntry => {\n        const byteBuffer = groupBuffer.slice(\n            weightsEntry.groupOffset,\n            weightsEntry.groupOffset + weightsEntry.sizeBytes);\n        const nameToTensorMap =\n            decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);\n        for (const name in nameToTensorMap) {\n          weightsTensorMap[name] = nameToTensorMap[name];\n        }\n      });\n\n      bufferIndexOffset += numBuffers;\n    });\n\n    return weightsTensorMap;\n  };\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandler implementations based on HTTP requests in the web browser.\n *\n * Uses [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).\n */\n\nimport {env} from '../environment';\n\nimport {assert} from '../util';\nimport {concatenateArrayBuffers, getModelArtifactsInfoForJSON} from './io_utils';\nimport {IORouter, IORouterRegistry} from './router_registry';\nimport {IOHandler, LoadOptions, ModelArtifacts, ModelJSON, OnProgressCallback, SaveResult, WeightsManifestConfig, WeightsManifestEntry} from './types';\nimport {loadWeightsAsArrayBuffer} from './weights_loader';\n\nconst OCTET_STREAM_MIME_TYPE = 'application/octet-stream';\nconst JSON_TYPE = 'application/json';\nexport class HTTPRequest implements IOHandler {\n  protected readonly path: string;\n  protected readonly requestInit: RequestInit;\n\n  private readonly fetch: Function;\n\n  readonly DEFAULT_METHOD = 'POST';\n\n  static readonly URL_SCHEME_REGEX = /^https?:\\/\\//;\n\n  private readonly weightPathPrefix: string;\n  private readonly onProgress: OnProgressCallback;\n\n  constructor(path: string, loadOptions?: LoadOptions) {\n    if (loadOptions == null) {\n      loadOptions = {};\n    }\n    this.weightPathPrefix = loadOptions.weightPathPrefix;\n    this.onProgress = loadOptions.onProgress;\n\n    if (loadOptions.fetchFunc != null) {\n      assert(\n          typeof loadOptions.fetchFunc === 'function',\n          () => 'Must pass a function that matches the signature of ' +\n              '`fetch` (see ' +\n              'https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)');\n      this.fetch = loadOptions.fetchFunc;\n    } else {\n      this.fetch = env().platform.fetch;\n    }\n\n    assert(\n        path != null && path.length > 0,\n        () => 'URL path for http must not be null, undefined or ' +\n            'empty.');\n\n    if (Array.isArray(path)) {\n      assert(\n          path.length === 2,\n          () => 'URL paths for http must have a length of 2, ' +\n              `(actual length is ${path.length}).`);\n    }\n    this.path = path;\n\n    if (loadOptions.requestInit != null &&\n        loadOptions.requestInit.body != null) {\n      throw new Error(\n          'requestInit is expected to have no pre-existing body, but has one.');\n    }\n    this.requestInit = loadOptions.requestInit || {};\n  }\n\n  async save(modelArtifacts: ModelArtifacts): Promise<SaveResult> {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\n          'BrowserHTTPRequest.save() does not support saving model topology ' +\n          'in binary formats yet.');\n    }\n\n    const init = Object.assign({method: this.DEFAULT_METHOD}, this.requestInit);\n    init.body = new FormData();\n\n    const weightsManifest: WeightsManifestConfig = [{\n      paths: ['./model.weights.bin'],\n      weights: modelArtifacts.weightSpecs,\n    }];\n    const modelTopologyAndWeightManifest: ModelJSON = {\n      modelTopology: modelArtifacts.modelTopology,\n      format: modelArtifacts.format,\n      generatedBy: modelArtifacts.generatedBy,\n      convertedBy: modelArtifacts.convertedBy,\n      userDefinedMetadata: modelArtifacts.userDefinedMetadata,\n      weightsManifest\n    };\n\n    init.body.append(\n        'model.json',\n        new Blob(\n            [JSON.stringify(modelTopologyAndWeightManifest)],\n            {type: JSON_TYPE}),\n        'model.json');\n\n    if (modelArtifacts.weightData != null) {\n      init.body.append(\n          'model.weights.bin',\n          new Blob([modelArtifacts.weightData], {type: OCTET_STREAM_MIME_TYPE}),\n          'model.weights.bin');\n    }\n\n    const response = await this.fetch(this.path, init);\n\n    if (response.ok) {\n      return {\n        modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts),\n        responses: [response],\n      };\n    } else {\n      throw new Error(\n          `BrowserHTTPRequest.save() failed due to HTTP response status ` +\n          `${response.status}.`);\n    }\n  }\n\n  /**\n   * Load model artifacts via HTTP request(s).\n   *\n   * See the documentation to `tf.io.http` for details on the saved\n   * artifacts.\n   *\n   * @returns The loaded model artifacts (if loading succeeds).\n   */\n  async load(): Promise<ModelArtifacts> {\n    const modelConfigRequest = await this.fetch(this.path, this.requestInit);\n\n    if (!modelConfigRequest.ok) {\n      throw new Error(\n          `Request to ${this.path} failed with status code ` +\n          `${modelConfigRequest.status}. Please verify this URL points to ` +\n          `the model JSON of the model to load.`);\n    }\n    let modelConfig: ModelJSON;\n    try {\n      modelConfig = await modelConfigRequest.json();\n    } catch (e) {\n      let message = `Failed to parse model JSON of response from ${this.path}.`;\n      // TODO(nsthorat): Remove this after some time when we're comfortable that\n      // .pb files are mostly gone.\n      if (this.path.endsWith('.pb')) {\n        message += ' Your path contains a .pb file extension. ' +\n            'Support for .pb models have been removed in TensorFlow.js 1.0 ' +\n            'in favor of .json models. You can re-convert your Python ' +\n            'TensorFlow model using the TensorFlow.js 1.0 conversion scripts ' +\n            'or you can convert your.pb models with the \\'pb2json\\'' +\n            'NPM script in the tensorflow/tfjs-converter repository.';\n      } else {\n        message += ' Please make sure the server is serving valid ' +\n            'JSON for this request.';\n      }\n      throw new Error(message);\n    }\n    const modelTopology = modelConfig.modelTopology;\n    const weightsManifest = modelConfig.weightsManifest;\n    const generatedBy = modelConfig.generatedBy;\n    const convertedBy = modelConfig.convertedBy;\n    const format = modelConfig.format;\n    const userDefinedMetadata = modelConfig.userDefinedMetadata;\n\n    // We do not allow both modelTopology and weightsManifest to be missing.\n    if (modelTopology == null && weightsManifest == null) {\n      throw new Error(\n          `The JSON from HTTP path ${this.path} contains neither model ` +\n          `topology or manifest for weights.`);\n    }\n\n    let weightSpecs: WeightsManifestEntry[];\n    let weightData: ArrayBuffer;\n    if (weightsManifest != null) {\n      const results = await this.loadWeights(weightsManifest);\n      [weightSpecs, weightData] = results;\n    }\n\n    return {\n      modelTopology,\n      weightSpecs,\n      weightData,\n      userDefinedMetadata,\n      generatedBy,\n      convertedBy,\n      format\n    };\n  }\n\n  private async loadWeights(weightsManifest: WeightsManifestConfig):\n      Promise<[WeightsManifestEntry[], ArrayBuffer]> {\n    const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;\n    const [prefix, suffix] = parseUrl(weightPath);\n    const pathPrefix = this.weightPathPrefix || prefix;\n\n    const weightSpecs = [];\n    for (const entry of weightsManifest) {\n      weightSpecs.push(...entry.weights);\n    }\n\n    const fetchURLs: string[] = [];\n    weightsManifest.forEach(weightsGroup => {\n      weightsGroup.paths.forEach(path => {\n        fetchURLs.push(pathPrefix + path + suffix);\n      });\n    });\n    const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {\n      requestInit: this.requestInit,\n      fetchFunc: this.fetch,\n      onProgress: this.onProgress\n    });\n    return [weightSpecs, concatenateArrayBuffers(buffers)];\n  }\n}\n\n/**\n * Extract the prefix and suffix of the url, where the prefix is the path before\n * the last file, and suffix is the search params after the last file.\n * ```\n * const url = 'http://tfhub.dev/model/1/tensorflowjs_model.pb?tfjs-format=file'\n * [prefix, suffix] = parseUrl(url)\n * // prefix = 'http://tfhub.dev/model/1/'\n * // suffix = '?tfjs-format=file'\n * ```\n * @param url the model url to be parsed.\n */\nexport function parseUrl(url: string): [string, string] {\n  const lastSlash = url.lastIndexOf('/');\n  const lastSearchParam = url.lastIndexOf('?');\n  const prefix = url.substring(0, lastSlash);\n  const suffix =\n      lastSearchParam > lastSlash ? url.substring(lastSearchParam) : '';\n  return [prefix + '/', suffix];\n}\n\nexport function isHTTPScheme(url: string): boolean {\n  return url.match(HTTPRequest.URL_SCHEME_REGEX) != null;\n}\n\nexport const httpRouter: IORouter =\n    (url: string, onProgress?: OnProgressCallback) => {\n      if (typeof fetch === 'undefined') {\n        // `http` uses `fetch` or `node-fetch`, if one wants to use it in\n        // an environment that is not the browser or node they have to setup a\n        // global fetch polyfill.\n        return null;\n      } else {\n        let isHTTP = true;\n        if (Array.isArray(url)) {\n          isHTTP = url.every(urlItem => isHTTPScheme(urlItem));\n        } else {\n          isHTTP = isHTTPScheme(url);\n        }\n        if (isHTTP) {\n          return http(url, {onProgress});\n        }\n      }\n      return null;\n    };\nIORouterRegistry.registerSaveRouter(httpRouter);\nIORouterRegistry.registerLoadRouter(httpRouter);\n\n/**\n * Creates an IOHandler subtype that sends model artifacts to HTTP server.\n *\n * An HTTP request of the `multipart/form-data` mime type will be sent to the\n * `path` URL. The form data includes artifacts that represent the topology\n * and/or weights of the model. In the case of Keras-style `tf.Model`, two\n * blobs (files) exist in form-data:\n *   - A JSON file consisting of `modelTopology` and `weightsManifest`.\n *   - A binary weights file consisting of the concatenated weight values.\n * These files are in the same format as the one generated by\n * [tfjs_converter](https://js.tensorflow.org/tutorials/import-keras.html).\n *\n * The following code snippet exemplifies the client-side code that uses this\n * function:\n *\n * ```js\n * const model = tf.sequential();\n * model.add(\n *     tf.layers.dense({units: 1, inputShape: [100], activation: 'sigmoid'}));\n *\n * const saveResult = await model.save(tf.io.http(\n *     'http://model-server:5000/upload', {requestInit: {method: 'PUT'}}));\n * console.log(saveResult);\n * ```\n *\n * If the default `POST` method is to be used, without any custom parameters\n * such as headers, you can simply pass an HTTP or HTTPS URL to `model.save`:\n *\n * ```js\n * const saveResult = await model.save('http://model-server:5000/upload');\n * ```\n *\n * The following GitHub Gist\n * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864\n * implements a server based on [flask](https://github.com/pallets/flask) that\n * can receive the request. Upon receiving the model artifacts via the requst,\n * this particular server reconsistutes instances of [Keras\n * Models](https://keras.io/models/model/) in memory.\n *\n *\n * @param path A URL path to the model.\n *   Can be an absolute HTTP path (e.g.,\n *   'http://localhost:8000/model-upload)') or a relative path (e.g.,\n *   './model-upload').\n * @param requestInit Request configurations to be used when sending\n *    HTTP request to server using `fetch`. It can contain fields such as\n *    `method`, `credentials`, `headers`, `mode`, etc. See\n *    https://developer.mozilla.org/en-US/docs/Web/API/Request/Request\n *    for more information. `requestInit` must not have a body, because the\n * body will be set by TensorFlow.js. File blobs representing the model\n * topology (filename: 'model.json') and the weights of the model (filename:\n * 'model.weights.bin') will be appended to the body. If `requestInit` has a\n * `body`, an Error will be thrown.\n * @param loadOptions Optional configuration for the loading. It includes the\n *   following fields:\n *   - weightPathPrefix Optional, this specifies the path prefix for weight\n *     files, by default this is calculated from the path param.\n *   - fetchFunc Optional, custom `fetch` function. E.g., in Node.js,\n *     the `fetch` from node-fetch can be used here.\n *   - onProgress Optional, progress callback function, fired periodically\n *     before the load is completed.\n * @returns An instance of `IOHandler`.\n */\n/**\n * @doc {\n *   heading: 'Models',\n *   subheading: 'Loading',\n *   namespace: 'io',\n *   ignoreCI: true\n * }\n */\nexport function http(path: string, loadOptions?: LoadOptions): IOHandler {\n  return new HTTPRequest(path, loadOptions);\n}\n\n/**\n * Deprecated. Use `tf.io.http`.\n * @param path\n * @param loadOptions\n */\nexport function browserHTTPRequest(\n    path: string, loadOptions?: LoadOptions): IOHandler {\n  return http(path, loadOptions);\n}\n","/**\n * @license\n * Copyright 2018 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * IOHandlers that pass through the in-memory ModelArtifacts format.\n */\n\nimport {IOHandler, ModelArtifacts, SaveResult, TrainingConfig, WeightsManifestEntry} from './types';\n\nclass PassthroughLoader implements IOHandler {\n  constructor(private readonly modelArtifacts?: ModelArtifacts) {}\n\n  async load(): Promise<ModelArtifacts> {\n    return this.modelArtifacts;\n  }\n}\n\nclass PassthroughSaver implements IOHandler {\n  constructor(\n      private readonly saveHandler:\n          (artifacts: ModelArtifacts) => Promise<SaveResult>) {}\n\n  async save(modelArtifacts: ModelArtifacts) {\n    return this.saveHandler(modelArtifacts);\n  }\n}\n\n/**\n * Creates an IOHandler that loads model artifacts from memory.\n *\n * When used in conjunction with `tf.loadLayersModel`, an instance of\n * `tf.LayersModel` (Keras-style) can be constructed from the loaded artifacts.\n *\n * ```js\n * const model = await tf.loadLayersModel(tf.io.fromMemory(\n *     modelTopology, weightSpecs, weightData));\n * ```\n *\n * @param modelArtifacts a object containing model topology (i.e., parsed from\n *   the JSON format).\n * @param weightSpecs An array of `WeightsManifestEntry` objects describing the\n *   names, shapes, types, and quantization of the weight data.\n * @param weightData A single `ArrayBuffer` containing the weight data,\n *   concatenated in the order described by the weightSpecs.\n * @param trainingConfig Model training configuration. Optional.\n *\n * @returns A passthrough `IOHandler` that simply loads the provided data.\n */\nexport function fromMemory(\n    modelArtifacts: {}|ModelArtifacts, weightSpecs?: WeightsManifestEntry[],\n    weightData?: ArrayBuffer, trainingConfig?: TrainingConfig): IOHandler {\n  if (arguments.length === 1) {\n    const isModelArtifacts =\n        (modelArtifacts as ModelArtifacts).modelTopology != null ||\n        (modelArtifacts as ModelArtifacts).weightSpecs != null;\n    if (isModelArtifacts) {\n      return new PassthroughLoader(modelArtifacts as ModelArtifacts);\n    } else {\n      // Legacy support: with only modelTopology.\n      // TODO(cais): Remove this deprecated API.\n      console.warn(\n          'Please call tf.io.fromMemory() with only one argument. ' +\n          'The argument should be of type ModelArtifacts. ' +\n          'The multi-argument signature of tf.io.fromMemory() has been ' +\n          'deprecated and will be removed in a future release.');\n      return new PassthroughLoader({modelTopology: modelArtifacts as {}});\n    }\n  } else {\n    // Legacy support.\n    // TODO(cais): Remove this deprecated API.\n    console.warn(\n        'Please call tf.io.fromMemory() with only one argument. ' +\n        'The argument should be of type ModelArtifacts. ' +\n        'The multi-argument signature of tf.io.fromMemory() has been ' +\n        'deprecated and will be removed in a future release.');\n    return new PassthroughLoader({\n      modelTopology: modelArtifacts as {},\n      weightSpecs,\n      weightData,\n      trainingConfig\n    });\n  }\n}\n\n/**\n * Creates an IOHandler that passes saved model artifacts to a callback.\n *\n * ```js\n * function handleSave(artifacts) {\n *   // ... do something with the artifacts ...\n *   return {modelArtifactsInfo: {...}, ...};\n * }\n *\n * const saveResult = model.save(tf.io.withSaveHandler(handleSave));\n * ```\n *\n * @param saveHandler A function that accepts a `ModelArtifacts` and returns a\n *     `SaveResult`.\n */\nexport function withSaveHandler(\n    saveHandler: (artifacts: ModelArtifacts) =>\n        Promise<SaveResult>): IOHandler {\n  return new PassthroughSaver(saveHandler);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Tensor1D, Tensor2D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {TensorLike} from '../types';\nimport * as util from '../util';\n\nimport {oneHot} from './one_hot';\nimport {op} from './operation';\n\n/**\n * Computes the confusion matrix from true labels and predicted labels.\n *\n * ```js\n * const labels = tf.tensor1d([0, 1, 2, 1, 0], 'int32');\n * const predictions = tf.tensor1d([0, 2, 2, 1, 0], 'int32');\n * const numClasses = 3;\n * const out = tf.math.confusionMatrix(labels, predictions, numClasses);\n * out.print();\n * // Expected output matrix:\n * // [[2, 0, 0],\n * //  [0, 1, 1],\n * //  [0, 0, 1]]\n * ```\n *\n * @param labels The target labels, assumed to be 0-based integers\n *   for the classes. The shape is `[numExamples]`, where\n *   `numExamples` is the number of examples included.\n * @param predictions The predicted classes, assumed to be\n *   0-based integers for the classes. Must have the same shape as `labels`.\n * @param numClasses Number of all classes, as an integer.\n *   Its value must be larger than the largest element in `labels` and\n *   `predictions`.\n * @returns The confusion matrix as a int32-type 2D tensor. The value at\n *   row `r` and column `c` is the number of times examples of actual class\n *   `r` were predicted as class `c`.\n */\n/** @doc {heading: 'Operations', subheading: 'Evaluation'} */\nexport function confusionMatrix_(\n    labels: Tensor1D|TensorLike, predictions: Tensor1D|TensorLike,\n    numClasses: number): Tensor2D {\n  const $labels = convertToTensor(labels, 'labels', 'confusionMatrix');\n  const $predictions =\n      convertToTensor(predictions, 'predictions', 'confusionMatrix');\n\n  util.assert(\n      numClasses == null || numClasses > 0 && Number.isInteger(numClasses),\n      () => `If provided, numClasses must be a positive integer, ` +\n          `but got ${numClasses}`);\n  util.assert(\n      $labels.rank === 1,\n      () => `Expected the rank of labels to be 1, but got ${$labels.rank}`);\n  util.assert(\n      $predictions.rank === 1,\n      () => `Expected the rank of predictions to be 1, ` +\n          `but got ${$predictions.rank}`);\n  util.assert(\n      $labels.shape[0] === $predictions.shape[0],\n      () => `Mismatch in the number of examples: ` +\n          `${$labels.shape[0]} vs. ${$predictions.shape[0]}. ` +\n          `Labels and predictions should have the same number of elements.`);\n  util.assert(\n      numClasses > 0 && Number.isInteger(numClasses),\n      () => `numClasses is required to be a positive integer, but got ` +\n          `${numClasses}`);\n  // TODO(cais): In the future, if oneHot supports tensors inputs for\n  //   `numClasses`, `confusionMatrix` can make `numClasses` optional.\n\n  const oneHotLabels = oneHot($labels.asType('int32'), numClasses) as Tensor2D;\n  const oneHotPredictions =\n      oneHot($predictions.asType('int32'), numClasses) as Tensor2D;\n  const oneHotLabelsT: Tensor2D = oneHotLabels.transpose();\n  return oneHotLabelsT.matMul(oneHotPredictions).asType('int32');\n}\n\nexport const confusionMatrix = op({confusionMatrix_});\n","/**\n * @license\n * Copyright 2019 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {getKernel} from '../kernel_registry';\nimport {Tensor, Tensor2D, Tensor3D} from '../tensor';\nimport {convertToTensor} from '../tensor_util_env';\nimport {PixelData, TensorLike} from '../types';\n\nimport {op} from './operation';\nimport {tensor3d} from './tensor_ops';\n\nlet fromPixels2DContext: CanvasRenderingContext2D;\n\n/**\n * Creates a `tf.Tensor` from an image.\n *\n * ```js\n * const image = new ImageData(1, 1);\n * image.data[0] = 100;\n * image.data[1] = 150;\n * image.data[2] = 200;\n * image.data[3] = 255;\n *\n * tf.browser.fromPixels(image).print();\n * ```\n *\n * @param pixels The input image to construct the tensor from. The\n * supported image types are all 4-channel. You can also pass in an image\n * object with following attributes:\n * `{data: Uint8Array; width: number; height: number}`\n * @param numChannels The number of channels of the output tensor. A\n * numChannels value less than 4 allows you to ignore channels. Defaults to\n * 3 (ignores alpha channel of input image).\n */\n/** @doc {heading: 'Browser', namespace: 'browser', ignoreCI: true} */\nfunction fromPixels_(\n    pixels: PixelData|ImageData|HTMLImageElement|HTMLCanvasElement|\n    HTMLVideoElement,\n    numChannels = 3): Tensor3D {\n  // Sanity checks.\n  if (numChannels > 4) {\n    throw new Error(\n        'Cannot construct Tensor with more than 4 channels from pixels.');\n  }\n  if (pixels == null) {\n    throw new Error('pixels passed to tf.browser.fromPixels() can not be null');\n  }\n  let isPixelData = false;\n  let isImageData = false;\n  let isVideo = false;\n  let isImage = false;\n  let isCanvasLike = false;\n  if ((pixels as PixelData).data instanceof Uint8Array) {\n    isPixelData = true;\n  } else if (\n      typeof (ImageData) !== 'undefined' && pixels instanceof ImageData) {\n    isImageData = true;\n  } else if (\n      typeof (HTMLVideoElement) !== 'undefined' &&\n      pixels instanceof HTMLVideoElement) {\n    isVideo = true;\n  } else if (\n      typeof (HTMLImageElement) !== 'undefined' &&\n      pixels instanceof HTMLImageElement) {\n    isImage = true;\n    // tslint:disable-next-line: no-any\n  } else if ((pixels as any).getContext != null) {\n    isCanvasLike = true;\n  } else {\n    throw new Error(\n        'pixels passed to tf.browser.fromPixels() must be either an ' +\n        `HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData ` +\n        `in browser, or OffscreenCanvas, ImageData in webworker` +\n        ` or {data: Uint32Array, width: number, height: number}, ` +\n        `but was ${(pixels as {}).constructor.name}`);\n  }\n  if (isVideo) {\n    const HAVE_CURRENT_DATA_READY_STATE = 2;\n    if (isVideo &&\n        (pixels as HTMLVideoElement).readyState <\n            HAVE_CURRENT_DATA_READY_STATE) {\n      throw new Error(\n          'The video element has not loaded data yet. Please wait for ' +\n          '`loadeddata` event on the <video> element.');\n    }\n  }\n  // If the current backend has 'FromPixels' registered, it has a more\n  // efficient way of handling pixel uploads, so we call that.\n  const kernel = getKernel('FromPixels', ENGINE.backendName);\n  if (kernel != null) {\n    return ENGINE.runKernel('FromPixels', {pixels} as {}, {numChannels}) as\n        Tensor3D;\n  }\n\n  const [width, height] = isVideo ?\n      [\n        (pixels as HTMLVideoElement).videoWidth,\n        (pixels as HTMLVideoElement).videoHeight\n      ] :\n      [pixels.width, pixels.height];\n  let vals: Uint8ClampedArray|Uint8Array;\n\n  if (isCanvasLike) {\n    vals =\n        // tslint:disable-next-line:no-any\n        (pixels as any).getContext('2d').getImageData(0, 0, width, height).data;\n  } else if (isImageData || isPixelData) {\n    vals = (pixels as PixelData | ImageData).data;\n  } else if (isImage || isVideo) {\n    if (fromPixels2DContext == null) {\n      fromPixels2DContext = document.createElement('canvas').getContext('2d');\n    }\n    fromPixels2DContext.canvas.width = width;\n    fromPixels2DContext.canvas.height = height;\n    fromPixels2DContext.drawImage(\n        pixels as HTMLVideoElement, 0, 0, width, height);\n    vals = fromPixels2DContext.getImageData(0, 0, width, height).data;\n  }\n  let values: Int32Array;\n  if (numChannels === 4) {\n    values = new Int32Array(vals);\n  } else {\n    const numPixels = width * height;\n    values = new Int32Array(numPixels * numChannels);\n    for (let i = 0; i < numPixels; i++) {\n      for (let channel = 0; channel < numChannels; ++channel) {\n        values[i * numChannels + channel] = vals[i * 4 + channel];\n      }\n    }\n  }\n  const outShape: [number, number, number] = [height, width, numChannels];\n  return tensor3d(values, outShape, 'int32');\n}\n\n/**\n * Draws a `tf.Tensor` of pixel values to a byte array or optionally a\n * canvas.\n *\n * When the dtype of the input is 'float32', we assume values in the range\n * [0-1]. Otherwise, when input is 'int32', we assume values in the range\n * [0-255].\n *\n * Returns a promise that resolves when the canvas has been drawn to.\n *\n * @param img A rank-2 or rank-3 tensor. If rank-2, draws grayscale. If\n *     rank-3, must have depth of 1, 3 or 4. When depth of 1, draws\n * grayscale. When depth of 3, we draw with the first three components of\n * the depth dimension corresponding to r, g, b and alpha = 1. When depth of\n * 4, all four components of the depth dimension correspond to r, g, b, a.\n * @param canvas The canvas to draw to.\n */\n/** @doc {heading: 'Browser', namespace: 'browser'} */\nexport async function toPixels(\n    img: Tensor2D|Tensor3D|TensorLike,\n    canvas?: HTMLCanvasElement): Promise<Uint8ClampedArray> {\n  let $img = convertToTensor(img, 'img', 'toPixels');\n  if (!(img instanceof Tensor)) {\n    // Assume int32 if user passed a native array.\n    $img = $img.toInt();\n  }\n  if ($img.rank !== 2 && $img.rank !== 3) {\n    throw new Error(\n        `toPixels only supports rank 2 or 3 tensors, got rank ${$img.rank}.`);\n  }\n  const [height, width] = $img.shape.slice(0, 2);\n  const depth = $img.rank === 2 ? 1 : $img.shape[2];\n\n  if (depth > 4 || depth === 2) {\n    throw new Error(\n        `toPixels only supports depth of size ` +\n        `1, 3 or 4 but got ${depth}`);\n  }\n\n  const data = await $img.data();\n  const minTensor = $img.min();\n  const maxTensor = $img.max();\n  const vals = await Promise.all([minTensor.data(), maxTensor.data()]);\n  const minVals = vals[0];\n  const maxVals = vals[1];\n  const min = minVals[0];\n  const max = maxVals[0];\n  minTensor.dispose();\n  maxTensor.dispose();\n  if ($img.dtype === 'float32') {\n    if (min < 0 || max > 1) {\n      throw new Error(\n          `Tensor values for a float32 Tensor must be in the ` +\n          `range [0 - 1] but got range [${min} - ${max}].`);\n    }\n  } else if ($img.dtype === 'int32') {\n    if (min < 0 || max > 255) {\n      throw new Error(\n          `Tensor values for a int32 Tensor must be in the ` +\n          `range [0 - 255] but got range [${min} - ${max}].`);\n    }\n  } else {\n    throw new Error(\n        `Unsupported type for toPixels: ${$img.dtype}.` +\n        ` Please use float32 or int32 tensors.`);\n  }\n  const multiplier = $img.dtype === 'float32' ? 255 : 1;\n  const bytes = new Uint8ClampedArray(width * height * 4);\n\n  for (let i = 0; i < height * width; ++i) {\n    let r, g, b, a;\n    if (depth === 1) {\n      r = data[i] * multiplier;\n      g = data[i] * multiplier;\n      b = data[i] * multiplier;\n      a = 255;\n    } else if (depth === 3) {\n      r = data[i * 3] * multiplier;\n      g = data[i * 3 + 1] * multiplier;\n      b = data[i * 3 + 2] * multiplier;\n      a = 255;\n    } else if (depth === 4) {\n      r = data[i * 4] * multiplier;\n      g = data[i * 4 + 1] * multiplier;\n      b = data[i * 4 + 2] * multiplier;\n      a = data[i * 4 + 3] * multiplier;\n    }\n\n    const j = i * 4;\n    bytes[j + 0] = Math.round(r);\n    bytes[j + 1] = Math.round(g);\n    bytes[j + 2] = Math.round(b);\n    bytes[j + 3] = Math.round(a);\n  }\n\n  if (canvas != null) {\n    canvas.width = width;\n    canvas.height = height;\n    const ctx = canvas.getContext('2d');\n    const imageData = new ImageData(bytes, width, height);\n    ctx.putImageData(imageData, 0, 0);\n  }\n  if ($img !== img) {\n    $img.dispose();\n  }\n  return bytes;\n}\n\nexport const fromPixels = op({fromPixels_});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {assert} from './util';\n\n/**\n * Types to support JSON-esque data structures internally.\n *\n * Internally ConfigDict's use camelCase keys and values where the\n * values are class names to be instantiated.  On the python side, these\n * will be snake_case.  Internally we allow Enums into the values for better\n * type safety, but these need to be converted to raw primitives (usually\n * strings) for round-tripping with python.\n *\n * toConfig returns the TS-friendly representation. model.toJSON() returns\n * the pythonic version as that's the portable format.  If you need to\n * python-ify a non-model level toConfig output, you'll need to use a\n * convertTsToPythonic from serialization_utils in -Layers.\n *\n */\nexport declare type ConfigDictValue =\n    boolean | number | string | null | ConfigDictArray | ConfigDict;\nexport declare interface ConfigDict {\n  [key: string]: ConfigDictValue;\n}\nexport declare interface ConfigDictArray extends Array<ConfigDictValue> {}\n\n/**\n * Type to represent the class-type of Serializable objects.\n *\n * Ie the class prototype with access to the constructor and any\n * static members/methods. Instance methods are not listed here.\n *\n * Source for this idea: https://stackoverflow.com/a/43607255\n */\nexport declare type SerializableConstructor<T extends Serializable> = {\n  // tslint:disable-next-line:no-any\n  new (...args: any[]): T; className: string; fromConfig: FromConfigMethod<T>;\n};\nexport declare type FromConfigMethod<T extends Serializable> =\n    (cls: SerializableConstructor<T>, config: ConfigDict) => T;\n\n/**\n * Serializable defines the serialization contract.\n *\n * TFJS requires serializable classes to return their className when asked\n * to avoid issues with minification.\n */\nexport abstract class Serializable {\n  /**\n   * Return the class name for this class to use in serialization contexts.\n   *\n   * Generally speaking this will be the same thing that constructor.name\n   * would have returned.  However, the class name needs to be robust\n   * against minification for serialization/deserialization to work properly.\n   *\n   * There's also places such as initializers.VarianceScaling, where\n   * implementation details between different languages led to different\n   * class hierarchies and a non-leaf node is used for serialization purposes.\n   */\n  getClassName(): string {\n    return (this.constructor as SerializableConstructor<Serializable>)\n        .className;\n  }\n\n  /**\n   * Return all the non-weight state needed to serialize this object.\n   */\n  abstract getConfig(): ConfigDict;\n\n  /**\n   * Creates an instance of T from a ConfigDict.\n   *\n   * This works for most descendants of serializable.  A few need to\n   * provide special handling.\n   * @param cls A Constructor for the class to instantiate.\n   * @param config The Configuration for the object.\n   */\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config);\n  }\n}\n\n/**\n * Maps string keys to class constructors.\n *\n * Used during (de)serialization from the cross-language JSON format, which\n * requires the class name in the serialization format matches the class\n * names as used in Python, should it exist.\n */\nexport class SerializationMap {\n  private static instance: SerializationMap;\n  classNameMap: {\n    [className: string]:\n        [SerializableConstructor<Serializable>, FromConfigMethod<Serializable>]\n  };\n\n  private constructor() {\n    this.classNameMap = {};\n  }\n\n  /**\n   * Returns the singleton instance of the map.\n   */\n  static getMap(): SerializationMap {\n    if (SerializationMap.instance == null) {\n      SerializationMap.instance = new SerializationMap();\n    }\n    return SerializationMap.instance;\n  }\n\n  /**\n   * Registers the class as serializable.\n   */\n  static register<T extends Serializable>(cls: SerializableConstructor<T>) {\n    SerializationMap.getMap().classNameMap[cls.className] =\n        [cls, cls.fromConfig];\n  }\n}\n\n/**\n * Register a class with the serialization map of TensorFlow.js.\n *\n * This is often used for registering custom Layers, so they can be\n * serialized and deserialized.\n *\n * Example:\n *\n * ```js\n * class MyCustomLayer extends tf.layers.Layer {\n *   static className = 'MyCustomLayer';\n *\n *   constructor(config) {\n *     super(config);\n *   }\n * }\n * tf.serialization.registerClass(MyCustomLayer);\n * ```\n *\n * @param cls The class to be registered. It must have a public static member\n *   called `className` defined and the value must be a non-empty string.\n */\n/** @doc {heading: 'Models', subheading: 'Serialization', ignoreCI: true} */\nexport function registerClass<T extends Serializable>(\n    cls: SerializableConstructor<T>) {\n  assert(\n      cls.className != null,\n      () => `Class being registered does not have the static className ` +\n          `property defined.`);\n  assert(\n      typeof cls.className === 'string',\n      () => `className is required to be a string, but got type ` +\n          typeof cls.className);\n  assert(\n      cls.className.length > 0,\n      () => `Class being registered has an empty-string as its className, ` +\n          `which is disallowed.`);\n\n  SerializationMap.register(cls);\n}\n","/** @license See the LICENSE file. */\n\n// This code is auto-generated, do not modify this file!\nconst version = '1.7.4';\nexport {version};\n","/**\n * @license\n * Copyright 2019 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport * as gpgpu_util from './backends/webgl/gpgpu_util';\nimport * as webgl_util from './backends/webgl/webgl_util';\nimport {env} from './environment';\n\nexport {MathBackendWebGL, WebGLMemoryInfo, WebGLTimingInfo} from './backends/webgl/backend_webgl';\nexport {setWebGLContext} from './backends/webgl/canvas_util';\nexport {GPGPUContext} from './backends/webgl/gpgpu_context';\nexport {GPGPUProgram} from './backends/webgl/gpgpu_math';\n// WebGL specific utils.\nexport {gpgpu_util, webgl_util};\n\n/**\n * Enforce use of half precision textures if available on the platform.\n */\n/** @doc {heading: 'Environment', namespace: 'webgl'} */\nexport function forceHalfFloat(): void {\n  env().set('WEBGL_FORCE_F16_TEXTURES', true);\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {dispose} from '../globals';\nimport {variableGrads} from '../gradients';\nimport {scalar} from '../ops/ops';\nimport {Serializable} from '../serialization';\nimport {Scalar, Variable} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\n/**\n * A variable that belongs to an optimizer.\n *\n * The `originalName` field is required for keeping track of the canonical\n * name of the variable, which is usually the name of the model weight that\n * the variable is related to plus a suffix, e.g., 'dense1/kernel/momentum'.\n * The name of the `Variable` object itself cannot be used directly due to\n * possible deduplication: Every `Variable` must have a unique name but more\n * than one optimizer objects of the same type may be created for the same model\n * or the same `Variable`.\n */\nexport interface OptimizerVariable {\n  originalName: string;\n  variable: Variable;\n}\n\n/** @doc {heading: 'Training', subheading: 'Classes', namespace: 'train'} */\nexport abstract class Optimizer extends Serializable {\n  protected iterations_: number;\n\n  /**\n   * Executes `f()` and minimizes the scalar output of `f()` by computing\n   * gradients of y with respect to the list of trainable variables provided by\n   * `varList`. If no list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to minimize.\n   * @param returnCost Whether to return the scalar cost value produced by\n   * executing `f()`.\n   * @param varList An optional list of variables to update. If specified, only\n   * the trainable variables in varList will be updated by minimize. Defaults to\n   * all trainable variables.\n   */\n  /** @doc {heading: 'Training', subheading: 'Optimizers'} */\n  minimize(f: () => Scalar, returnCost = false, varList?: Variable[]): Scalar\n      |null {\n    const {value, grads} = this.computeGradients(f, varList);\n\n    if (varList != null) {\n      const gradArray: NamedTensor[] =\n          varList.map(v => ({name: v.name, tensor: grads[v.name]}));\n      this.applyGradients(gradArray);\n    } else {\n      this.applyGradients(grads);\n    }\n\n    // Dispose gradients.\n    dispose(grads);\n\n    if (returnCost) {\n      return value;\n    } else {\n      value.dispose();\n      return null;\n    }\n  }\n\n  /**\n   * The number of iterations that this optimizer instance has been invoked for.\n   */\n  get iterations(): number {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return this.iterations_;\n  }\n\n  protected incrementIterations() {\n    this.iterations_ = this.iterations + 1;\n  }\n\n  /**\n   * Executes f() and computes the gradient of the scalar output of f() with\n   * respect to the list of trainable variables provided by `varList`. If no\n   * list is provided, it defaults to all trainable variables.\n   *\n   * @param f The function to execute and whose output to use for computing\n   * gradients with respect to variables.\n   * @param varList An optional list of variables to compute gradients with\n   * respect to. If specified, only the trainable variables in varList will have\n   * gradients computed with respect to. Defaults to all trainable variables.\n   */\n  computeGradients(f: () => Scalar, varList?: Variable[]):\n      {value: Scalar, grads: NamedTensorMap} {\n    return variableGrads(f, varList);\n  }\n\n  /**\n   * Updates variables by using the computed gradients.\n   *\n   * @param variableGradients A mapping of variable name to its gradient value.\n   */\n  abstract applyGradients(variableGradients: NamedTensorMap|\n                          NamedTensor[]): void;\n\n  /**\n   * Dispose the variables (if any) owned by this optimizer instance.\n   */\n  dispose(): void {\n    if (this.iterations_ != null) {\n      dispose(this.iterations_);\n    }\n  }\n\n  async saveIterations(): Promise<NamedTensor> {\n    if (this.iterations_ == null) {\n      this.iterations_ = 0;\n    }\n    return {\n      name: 'iter',  // Named for Python compatibility.\n      // TODO(cais): Use 'int64' type when available.\n      tensor: scalar(this.iterations_, 'int32')\n    };\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for this optimizer yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error(\n        `setWeights() is not implemented for this optimizer class ` +\n        `${this.getClassName()}`);\n  }\n\n  /**\n   * Extract the first element of the weight values and set it\n   * as the iterations counter variable of this instance of optimizer.\n   *\n   * @param weightValues\n   * @returns Weight values with the first element consumed and excluded.\n   */\n  protected async extractIterations(weightValues: NamedTensor[]):\n      Promise<NamedTensor[]> {\n    this.iterations_ = (await weightValues[0].tensor.data())[0];\n    return weightValues.slice(1);\n  }\n}\n\nObject.defineProperty(Optimizer, Symbol.hasInstance, {\n  value: (instance: Optimizer) => {\n    return instance.minimize != null && instance.computeGradients != null &&\n        instance.applyGradients != null;\n  }\n});\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdadeltaOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adadelta';  // Name matters for Python compatibility.\n  private accumulatedGrads: OptimizerVariable[] = [];\n  private accumulatedUpdates: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected rho: number,\n      protected epsilon: number = null) {\n    super();\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedGrads[i] == null) {\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accum_grad`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedUpdates[i] == null) {\n        this.accumulatedUpdates[i] = {\n          originalName: `${name}/accum_var`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n      const accumulatedUpdate = this.accumulatedUpdates[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.mul(this.rho).add(\n            gradient.square().mul(1 - this.rho));\n\n        const updates = accumulatedUpdate.add(this.epsilon)\n                            .sqrt()\n                            .div(accumulatedGrad.add(this.epsilon).sqrt())\n                            .mul(gradient);\n\n        const newAccumulatedUpdate = accumulatedUpdate.mul(this.rho).add(\n            updates.square().mul(1 - this.rho));\n\n        accumulatedGrad.assign(newAccumulatedGrad);\n        accumulatedUpdate.assign(newAccumulatedUpdate);\n\n        const newValue = updates.mul(-this.learningRate).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedUpdates != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n      dispose(this.accumulatedUpdates.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedGrads, ...this.accumulatedUpdates];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedGrads =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedUpdates =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'rho': this.rho,\n      'epsilon': this.epsilon\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['rho'], config['epsilon']);\n  }\n}\nregisterClass(AdadeltaOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {fill} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class AdagradOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adagrad';  // Note: Name matters for Python compatibility.\n\n  private accumulatedGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private initialAccumulatorValue = 0.1) {\n    super();\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulatedGrads[i] == null) {\n        const trainable = false;\n        this.accumulatedGrads[i] = {\n          originalName: `${name}/accumulator`,\n          variable: tidy(\n              () => fill(value.shape, this.initialAccumulatorValue)\n                        .variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedGrad = this.accumulatedGrads[i].variable;\n\n      tidy(() => {\n        const newAccumulatedGrad = accumulatedGrad.add(gradient.square());\n        accumulatedGrad.assign(newAccumulatedGrad);\n\n        const newValue =\n            gradient\n                .div(newAccumulatedGrad.add(ENGINE.backend.epsilon()).sqrt())\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedGrads != null) {\n      dispose(this.accumulatedGrads.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulatedGrads.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulatedGrads = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'initialAccumulatorValue': this.initialAccumulatorValue,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate'], config['initialAccumulatorValue']);\n  }\n}\nregisterClass(AdagradOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {pow, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adam';  // Note: Name matters for Python compatibility.\n  private accBeta1: Variable;\n  private accBeta2: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedSecondMoment: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null) {\n    super();\n    tidy(() => {\n      // accB* will be updated by batch.\n      this.accBeta1 = scalar(beta1).variable();\n      this.accBeta2 = scalar(beta2).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const oneMinusAccBeta2 = sub(1, this.accBeta2);\n\n      varNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n        if (this.accumulatedSecondMoment[i] == null) {\n          this.accumulatedSecondMoment[i] = {\n            originalName: `${name}/v`,\n            variable: tidy(() => zerosLike(value).variable(trainable))\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const secondMoment = this.accumulatedSecondMoment[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n        const newSecondMoment = secondMoment.mul(this.beta2)\n                                    .add(gradient.square().mul(1 - this.beta2));\n\n        const biasCorrectedFirstMoment = newFirstMoment.div(oneMinusAccBeta1);\n        const biasCorrectedSecondMoment = newSecondMoment.div(oneMinusAccBeta2);\n\n        firstMoment.assign(newFirstMoment);\n        secondMoment.assign(newSecondMoment);\n\n        const newValue =\n            biasCorrectedFirstMoment\n                .div(biasCorrectedSecondMoment.sqrt().add(this.epsilon))\n                .mul(-this.learningRate)\n                .add(value);\n        value.assign(newValue);\n      });\n\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n      this.accBeta2.assign(this.accBeta2.mul(this.beta2));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.accBeta2.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedSecondMoment != null) {\n      dispose(this.accumulatedSecondMoment.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedFirstMoment, ...this.accumulatedSecondMoment];\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    tidy(() => {\n      this.accBeta1.assign(pow(this.beta1, this.iterations_ + 1));\n      this.accBeta2.assign(pow(this.beta2, this.iterations_ + 1));\n    });\n\n    const variableCount = weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedFirstMoment =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedSecondMoment =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon']);\n  }\n}\nregisterClass(AdamOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {div, scalar, sub, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Variable} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\nexport class AdamaxOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'Adamax';  // Note: Name matters for Python compatbility.\n  private accBeta1: Variable;\n  private iteration: Variable;\n\n  private accumulatedFirstMoment: OptimizerVariable[] = [];\n  private accumulatedWeightedInfNorm: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected beta1: number,\n      protected beta2: number, protected epsilon: number = null,\n      protected decay = 0.0) {\n    super();\n\n    tidy(() => {\n      this.iteration = scalar(0).variable();\n      this.accBeta1 = scalar(beta1).variable();\n    });\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    tidy(() => {\n      const oneMinusAccBeta1 = sub(1, this.accBeta1);\n      const lr = div(-this.learningRate, this.iteration.mul(this.decay).add(1));\n\n      variableNames.forEach((name, i) => {\n        const value = ENGINE.registeredVariables[name];\n        const trainable = false;\n        if (this.accumulatedFirstMoment[i] == null) {\n          this.accumulatedFirstMoment[i] = {\n            originalName: `${name}/m`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n        if (this.accumulatedWeightedInfNorm[i] == null) {\n          this.accumulatedWeightedInfNorm[i] = {\n            originalName: `${name}/v`,\n            variable: zerosLike(value).variable(trainable)\n          };\n        }\n\n        const gradient = Array.isArray(variableGradients) ?\n            variableGradients[i].tensor :\n            variableGradients[name];\n        if (gradient == null) {\n          return;\n        }\n\n        const firstMoment = this.accumulatedFirstMoment[i].variable;\n        const weightedInfNorm = this.accumulatedWeightedInfNorm[i].variable;\n\n        const newFirstMoment =\n            firstMoment.mul(this.beta1).add(gradient.mul(1 - this.beta1));\n\n        const ut0 = weightedInfNorm.mul(this.beta2);\n        const ut1 = gradient.abs();\n\n        const newWeightedInfNorm = ut0.maximum(ut1);\n\n        firstMoment.assign(newFirstMoment);\n        weightedInfNorm.assign(newWeightedInfNorm);\n\n        const newValue =\n            lr.div(oneMinusAccBeta1)\n                .mul(newFirstMoment.div(newWeightedInfNorm.add(this.epsilon)))\n                .add(value);\n\n        value.assign(newValue);\n      });\n\n      this.iteration.assign(this.iteration.add(1));\n      this.accBeta1.assign(this.accBeta1.mul(this.beta1));\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.accBeta1.dispose();\n    this.iteration.dispose();\n\n    if (this.accumulatedFirstMoment != null) {\n      dispose(this.accumulatedFirstMoment.map(v => v.variable));\n    }\n    if (this.accumulatedWeightedInfNorm != null) {\n      dispose(this.accumulatedWeightedInfNorm.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    throw new Error('getWeights() is not implemented for Adamax yet.');\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    throw new Error('setWeights() is not implemented for Adamax yet.');\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'beta1': this.beta1,\n      'beta2': this.beta2,\n      'epsilon': this.epsilon,\n      'decay': this.decay\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['beta1'], config['beta2'],\n        config['epsilon'], config['decay']);\n  }\n}\nregisterClass(AdamaxOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {keep, tidy} from '../globals';\nimport {scalar} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar} from '../tensor';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer} from './optimizer';\n\n/** @doclink Optimizer */\nexport class SGDOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'SGD';  // Note: Name matters for Python compatibility.\n  protected c: Scalar;\n\n  constructor(protected learningRate: number) {\n    super();\n    this.setLearningRate(learningRate);\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const varNames = Array.isArray(variableGradients) ?\n        variableGradients.map(v => v.name) :\n        Object.keys(variableGradients);\n    varNames.forEach((name, i) => {\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n      const value = ENGINE.registeredVariables[name];\n      tidy(() => {\n        const newValue = this.c.mul(gradient).add(value);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  /**\n   * Sets the learning rate of the optimizer.\n   */\n  setLearningRate(learningRate: number) {\n    this.learningRate = learningRate;\n    if (this.c != null) {\n      this.c.dispose();\n    }\n    this.c = keep(scalar(-learningRate));\n  }\n\n  dispose() {\n    this.c.dispose();\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    return [await this.saveIterations()];\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    if (weightValues.length !== 0) {\n      throw new Error('SGD optimizer does not have settable weights.');\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {'learningRate': this.learningRate};\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(config['learningRate']);\n  }\n}\nregisterClass(SGDOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {scalar, zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {Scalar, Tensor} from '../tensor';\nimport {NamedTensor, NamedVariableMap} from '../tensor_types';\n\nimport {OptimizerVariable} from './optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\n/** @doclink Optimizer */\nexport class MomentumOptimizer extends SGDOptimizer {\n  /** @nocollapse */\n  static className = 'Momentum';  // Name matters for Python compatibility.\n  private m: Scalar;\n  private accumulations: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, private momentum: number,\n      private useNesterov = false) {\n    super(learningRate);\n    this.m = scalar(this.momentum);\n  }\n\n  applyGradients(variableGradients: NamedVariableMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      if (this.accumulations[i] == null) {\n        const trainable = false;\n        this.accumulations[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const accumulation = this.accumulations[i].variable;\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      tidy(() => {\n        let newValue: Tensor;\n        const newAccumulation = this.m.mul(accumulation).add(gradient);\n        if (this.useNesterov) {\n          newValue =\n              this.c.mul(gradient.add(newAccumulation.mul(this.m))).add(value);\n        } else {\n          newValue = this.c.mul(newAccumulation).add(value);\n        }\n        accumulation.assign(newAccumulation);\n        value.assign(newValue);\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    this.m.dispose();\n    if (this.accumulations != null) {\n      dispose(this.accumulations.map(v => v.variable));\n    }\n  }\n\n  /**\n   * Sets the momentum of the optimizer.\n   *\n   * @param momentum\n   */\n  setMomentum(momentum: number) {\n    this.momentum = momentum;\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    return [await this.saveIterations()].concat(this.accumulations.map(\n        v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const trainable = false;\n    this.accumulations = weightValues.map(\n        v => ({originalName: v.name, variable: v.tensor.variable(trainable)}));\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'momentum': this.momentum,\n      'useNesterov': this.useNesterov\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['momentum'], config['useNesterov']);\n  }\n}\nregisterClass(MomentumOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {ENGINE} from '../engine';\nimport {dispose, tidy} from '../globals';\nimport {zerosLike} from '../ops/ops';\nimport {ConfigDict, registerClass, Serializable, SerializableConstructor} from '../serialization';\nimport {NamedTensor, NamedTensorMap} from '../tensor_types';\n\nimport {Optimizer, OptimizerVariable} from './optimizer';\n\n/** @doclink Optimizer */\nexport class RMSPropOptimizer extends Optimizer {\n  /** @nocollapse */\n  static className = 'RMSProp';  // Note: Name matters for Python compatibility.\n  private centered: boolean;\n\n  private accumulatedMeanSquares: OptimizerVariable[] = [];\n  private accumulatedMoments: OptimizerVariable[] = [];\n  private accumulatedMeanGrads: OptimizerVariable[] = [];\n\n  constructor(\n      protected learningRate: number, protected decay = 0.9,\n      protected momentum = 0.0, protected epsilon: number = null,\n      centered = false) {\n    super();\n\n    this.centered = centered;\n\n    if (epsilon == null) {\n      this.epsilon = ENGINE.backend.epsilon();\n    }\n    if (learningRate == null) {\n      throw new Error(`learningRate for RMSPropOptimizer must be defined.`);\n    }\n  }\n\n  applyGradients(variableGradients: NamedTensorMap|NamedTensor[]) {\n    const variableNames = Array.isArray(variableGradients) ?\n        variableGradients.map(item => item.name) :\n        Object.keys(variableGradients);\n\n    variableNames.forEach((name, i) => {\n      const value = ENGINE.registeredVariables[name];\n      const trainable = false;\n      if (this.accumulatedMeanSquares[i] == null) {\n        this.accumulatedMeanSquares[i] = {\n          originalName: `${name}/rms`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMoments[i] == null) {\n        this.accumulatedMoments[i] = {\n          originalName: `${name}/momentum`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n      if (this.accumulatedMeanGrads[i] == null && this.centered) {\n        this.accumulatedMeanGrads[i] = {\n          originalName: `${name}/mg`,\n          variable: tidy(() => zerosLike(value).variable(trainable))\n        };\n      }\n\n      const gradient = Array.isArray(variableGradients) ?\n          variableGradients[i].tensor :\n          variableGradients[name];\n      if (gradient == null) {\n        return;\n      }\n\n      const accumulatedMeanSquare = this.accumulatedMeanSquares[i].variable;\n      const accumulatedMoments = this.accumulatedMoments[i].variable;\n      tidy(() => {\n        const newAccumulatedMeanSquare =\n            accumulatedMeanSquare.mul(this.decay)\n                .add(gradient.square().mul(1 - this.decay));\n\n        if (this.centered) {\n          const accumulatedMeanGrad = this.accumulatedMeanGrads[i].variable;\n          // Centered gradient\n          const newAccumulatedMeanGrad = accumulatedMeanGrad.mul(this.decay)\n                                             .add(gradient.mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare\n                                    .sub(newAccumulatedMeanGrad.square().add(\n                                        this.epsilon))\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMeanGrad.assign(newAccumulatedMeanGrad);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        } else {\n          // Plain gradient\n          const newAccumulatedMeanSquare =\n              accumulatedMeanSquare.mul(this.decay)\n                  .add(gradient.square().mul(1 - this.decay));\n\n          const newAccumulatedMoments =\n              accumulatedMoments.mul(this.momentum)\n                  .add(gradient.mul(this.learningRate)\n                           .div(newAccumulatedMeanSquare.add(this.epsilon)\n                                    .sqrt()));\n\n          accumulatedMeanSquare.assign(newAccumulatedMeanSquare);\n          accumulatedMoments.assign(newAccumulatedMoments);\n\n          const newValue = value.sub(newAccumulatedMoments);\n          value.assign(newValue);\n        }\n      });\n    });\n    this.incrementIterations();\n  }\n\n  dispose(): void {\n    if (this.accumulatedMeanSquares != null) {\n      dispose(this.accumulatedMeanSquares.map(v => v.variable));\n    }\n    if (this.accumulatedMeanGrads != null && this.centered) {\n      dispose(this.accumulatedMeanGrads.map(v => v.variable));\n    }\n    if (this.accumulatedMoments != null) {\n      dispose(this.accumulatedMoments.map(v => v.variable));\n    }\n  }\n\n  async getWeights(): Promise<NamedTensor[]> {\n    // Order matters for Python compatibility.\n    const variables: OptimizerVariable[] =\n        [...this.accumulatedMeanSquares, ...this.accumulatedMoments];\n    if (this.centered) {\n      variables.push(...this.accumulatedMeanGrads);\n    }\n    return [await this.saveIterations()].concat(\n        variables.map(v => ({name: v.originalName, tensor: v.variable})));\n  }\n\n  async setWeights(weightValues: NamedTensor[]): Promise<void> {\n    weightValues = await this.extractIterations(weightValues);\n    const variableCount =\n        this.centered ? weightValues.length / 3 : weightValues.length / 2;\n    const trainable = false;\n    this.accumulatedMeanSquares =\n        weightValues.slice(0, variableCount).map(v => ({\n                                                   originalName: v.name,\n                                                   variable: v.tensor.variable(\n                                                       trainable)\n                                                 }));\n    this.accumulatedMoments =\n        weightValues.slice(variableCount, variableCount * 2)\n            .map(v => ({\n                   originalName: v.name,\n                   variable: v.tensor.variable(trainable)\n                 }));\n    if (this.centered) {\n      this.accumulatedMeanGrads =\n          weightValues.slice(variableCount * 2, variableCount * 3)\n              .map(v => ({\n                     originalName: v.name,\n                     variable: v.tensor.variable(trainable)\n                   }));\n    }\n  }\n\n  getConfig(): ConfigDict {\n    return {\n      'learningRate': this.learningRate,\n      'decay': this.decay,\n      'momentum': this.momentum,\n      'epsilon': this.epsilon,\n      'centered': this.centered\n    };\n  }\n\n  /** @nocollapse */\n  static fromConfig<T extends Serializable>(\n      cls: SerializableConstructor<T>, config: ConfigDict): T {\n    return new cls(\n        config['learningRate'], config['decay'], config['momentum'],\n        config['epsilon'], config['centered']);\n  }\n}\nregisterClass(RMSPropOptimizer);\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {AdadeltaOptimizer} from './adadelta_optimizer';\nimport {AdagradOptimizer} from './adagrad_optimizer';\nimport {AdamOptimizer} from './adam_optimizer';\nimport {AdamaxOptimizer} from './adamax_optimizer';\nimport {MomentumOptimizer} from './momentum_optimizer';\nimport {RMSPropOptimizer} from './rmsprop_optimizer';\nimport {SGDOptimizer} from './sgd_optimizer';\n\nexport class OptimizerConstructors {\n  /**\n   * Constructs a `tf.SGDOptimizer` that uses stochastic gradient descent.\n   *\n   * ```js\n   * // Fit a quadratic function by learning the coefficients a, b, c.\n   * const xs = tf.tensor1d([0, 1, 2, 3]);\n   * const ys = tf.tensor1d([1.1, 5.9, 16.8, 33.9]);\n   *\n   * const a = tf.scalar(Math.random()).variable();\n   * const b = tf.scalar(Math.random()).variable();\n   * const c = tf.scalar(Math.random()).variable();\n   *\n   * // y = a * x^2 + b * x + c.\n   * const f = x => a.mul(x.square()).add(b.mul(x)).add(c);\n   * const loss = (pred, label) => pred.sub(label).square().mean();\n   *\n   * const learningRate = 0.01;\n   * const optimizer = tf.train.sgd(learningRate);\n   *\n   * // Train the model.\n   * for (let i = 0; i < 10; i++) {\n   *   optimizer.minimize(() => loss(f(xs), ys));\n   * }\n   *\n   * // Make predictions.\n   * console.log(\n   *     `a: ${a.dataSync()}, b: ${b.dataSync()}, c: ${c.dataSync()}`);\n   * const preds = f(xs).dataSync();\n   * preds.forEach((pred, i) => {\n   *   console.log(`x: ${i}, pred: ${pred}`);\n   * });\n   * ```\n   *\n   * @param learningRate The learning rate to use for the SGD algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static sgd(learningRate: number): SGDOptimizer {\n    return new SGDOptimizer(learningRate);\n  }\n\n  /**\n   * Constructs a `tf.MomentumOptimizer` that uses momentum gradient\n   * descent.\n   *\n   * See\n   * [http://proceedings.mlr.press/v28/sutskever13.pdf](\n   * http://proceedings.mlr.press/v28/sutskever13.pdf)\n   *\n   * @param learningRate The learning rate to use for the Momentum gradient\n   * descent algorithm.\n   * @param momentum The momentum to use for the momentum gradient descent\n   * algorithm.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static momentum(learningRate: number, momentum: number, useNesterov = false):\n      MomentumOptimizer {\n    return new MomentumOptimizer(learningRate, momentum, useNesterov);\n  }\n\n  /**\n   * Constructs a `tf.RMSPropOptimizer` that uses RMSProp gradient\n   * descent. This implementation uses plain momentum and is not centered\n   * version of RMSProp.\n   *\n   * See\n   * [http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf](\n   * http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf)\n   *\n   * @param learningRate The learning rate to use for the RMSProp gradient\n   * descent algorithm.\n   * @param decay The discounting factor for the history/coming gradient.\n   * @param momentum The momentum to use for the RMSProp gradient descent\n   * algorithm.\n   * @param epsilon Small value to avoid zero denominator.\n   * @param centered If true, gradients are normalized by the estimated\n   * variance of the gradient.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static rmsprop(\n      learningRate: number, decay = .9, momentum = 0.0, epsilon: number = null,\n      centered = false): RMSPropOptimizer {\n    return new RMSPropOptimizer(\n        learningRate, decay, momentum, epsilon, centered);\n  }\n\n  /**\n   * Constructs a `tf.AdamOptimizer` that uses the Adam algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adam gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adam(\n      learningRate = 0.001, beta1 = 0.9, beta2 = 0.999,\n      epsilon: number = null): AdamOptimizer {\n    return new AdamOptimizer(learningRate, beta1, beta2, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdadeltaOptimizer` that uses the Adadelta algorithm.\n   * See [https://arxiv.org/abs/1212.5701](https://arxiv.org/abs/1212.5701)\n   *\n   * @param learningRate The learning rate to use for the Adadelta gradient\n   * descent algorithm.\n   * @param rho The learning rate decay over each update.\n   * @param epsilon A constant epsilon used to better condition the grad\n   * update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adadelta(learningRate = .001, rho = .95, epsilon: number = null):\n      AdadeltaOptimizer {\n    return new AdadeltaOptimizer(learningRate, rho, epsilon);\n  }\n\n  /**\n   * Constructs a `tf.AdamaxOptimizer` that uses the Adamax algorithm.\n   * See [https://arxiv.org/abs/1412.6980](https://arxiv.org/abs/1412.6980)\n   *\n   * @param learningRate The learning rate to use for the Adamax gradient\n   * descent algorithm.\n   * @param beta1 The exponential decay rate for the 1st moment estimates.\n   * @param beta2 The exponential decay rate for the 2nd moment estimates.\n   * @param epsilon A small constant for numerical stability.\n   * @param decay The learning rate decay over each update.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adamax(\n      learningRate = 0.002, beta1 = 0.9, beta2 = 0.999, epsilon: number = null,\n      decay = 0.0): AdamaxOptimizer {\n    return new AdamaxOptimizer(learningRate, beta1, beta2, epsilon, decay);\n  }\n\n  /**\n   * Constructs a `tf.AdagradOptimizer` that uses the Adagrad algorithm.\n   * See\n   * [http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf](\n   * http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf)\n   * or\n   * [http://ruder.io/optimizing-gradient-descent/index.html#adagrad](\n   * http://ruder.io/optimizing-gradient-descent/index.html#adagrad)\n   *\n   * @param learningRate The learning rate to use for the Adagrad gradient\n   * descent algorithm.\n   * @param initialAccumulatorValue Starting value for the accumulators, must be\n   * positive.\n   */\n  /**\n   * @doc {heading: 'Training', subheading: 'Optimizers', namespace: 'train'}\n   */\n  static adagrad(learningRate: number, initialAccumulatorValue = 0.1):\n      AdagradOptimizer {\n    return new AdagradOptimizer(learningRate, initialAccumulatorValue);\n  }\n}\n","/**\n * @license\n * Copyright 2018 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n// So typings can propagate.\nimport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nimport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nimport {AdamOptimizer} from './optimizers/adam_optimizer';\nimport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nimport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nimport {OptimizerConstructors} from './optimizers/optimizer_constructors';\nimport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nimport {SGDOptimizer} from './optimizers/sgd_optimizer';\n\n// tslint:disable-next-line:no-unused-expression\n[MomentumOptimizer, SGDOptimizer, AdadeltaOptimizer, AdagradOptimizer,\n RMSPropOptimizer, AdamaxOptimizer, AdamOptimizer];\n\nexport const train = {\n  sgd: OptimizerConstructors.sgd,\n  momentum: OptimizerConstructors.momentum,\n  adadelta: OptimizerConstructors.adadelta,\n  adagrad: OptimizerConstructors.adagrad,\n  rmsprop: OptimizerConstructors.rmsprop,\n  adamax: OptimizerConstructors.adamax,\n  adam: OptimizerConstructors.adam\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nconst delayCallback: Function = (() => {\n  if (typeof requestAnimationFrame !== 'undefined') {\n    return requestAnimationFrame;\n  } else if (typeof setImmediate !== 'undefined') {\n    return setImmediate;\n  }\n  return (f: Function) => f();  // no delays\n})();\n\n/**\n * Returns a promise that resolve when a requestAnimationFrame has completed.\n *\n * On Node.js this uses setImmediate instead of requestAnimationFrame.\n *\n * This is simply a sugar method so that users can do the following:\n * `await tf.nextFrame();`\n */\n/** @doc {heading: 'Performance', subheading: 'Timing'} */\nfunction nextFrame(): Promise<void> {\n  return new Promise<void>(resolve => delayCallback(() => resolve()));\n}\n\nexport {nextFrame};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {add} from '../../ops/add';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    add<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.add = function<T extends Tensor>(b: Tensor|TensorLike): T {\n  return add(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {broadcastTo} from '../../ops/broadcast_to';\nimport {Tensor} from '../../tensor';\nimport {Rank, ShapeMap} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    broadcastTo<R extends Rank>(shape: ShapeMap[R]): Tensor<R>;\n  }\n}\n\nTensor.prototype.broadcastTo = function<R extends Rank>(shape: ShapeMap[R]):\n    Tensor<R> {\n  return broadcastTo(this, shape);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {div} from '../../ops/div';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    div<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.div = function<T extends Tensor>(b: Tensor|TensorLike): T {\n  return div(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {divNoNan} from '../../ops/div_no_nan';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    divNoNan<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.divNoNan = function<T extends Tensor>(b: Tensor|\n                                                       TensorLike): T {\n  return divNoNan(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {squaredDifference} from '../../ops/squared_difference';\nimport {Tensor} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    squaredDifference<T extends Tensor>(b: Tensor|TensorLike): T;\n  }\n}\n\nTensor.prototype.squaredDifference = function<T extends Tensor>(b: Tensor|\n                                                                TensorLike): T {\n  return squaredDifference(this, b);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {tile} from '../../ops/tile';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    tile<T extends Tensor>(b: number[]): T;\n  }\n}\n\nTensor.prototype.tile = function<T extends Tensor>(reps: number[]): T {\n  return tile(this, reps) as T;\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {oneHot} from '../../ops/one_hot';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    oneHot(depth: number, onValue: number, offValue: number): Tensor;\n  }\n}\n\nTensor.prototype.oneHot = function(\n    depth: number, onValue = 1, offValue = 0): Tensor {\n  return oneHot(this, depth, onValue, offValue);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {transpose} from '../../ops/transpose';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    transpose<T extends Tensor>(perm?: number[]): T;\n  }\n}\n\nTensor.prototype.transpose = function<T extends Tensor>(\n    this: T, perm?: number[]): T {\n  return transpose(this, perm);\n};\n","/**\n * @license\n * Copyright 2020 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {pad} from '../../ops/pad';\nimport {Tensor} from '../../tensor';\nimport {Rank} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    pad<T extends Tensor>(\n        paddings: Array<[number, number]>, constantValue?: number): T;\n  }\n}\n\nTensor.prototype.pad = function<T extends Tensor>(\n    this: T, paddings: Array<[number, number]>, constantValue: number): T {\n  return pad(this, paddings, constantValue);\n};\n","/**\n * @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\nimport {batchNorm} from '../../ops/batchnorm';\nimport {Tensor, Tensor1D} from '../../tensor';\nimport {Rank, TensorLike} from '../../types';\n\ndeclare module '../../tensor' {\n  interface Tensor<R extends Rank = Rank> {\n    batchNorm<T extends Tensor>(\n      mean: Tensor<R> | Tensor1D | TensorLike,\n      variance: Tensor<R> | Tensor1D | TensorLike,\n      offset?: Tensor<R> | Tensor1D | TensorLike,\n      scale?: Tensor<R> | Tensor1D | TensorLike,\n      varianceEpsilon?: number\n    ): Tensor<R>;\n  }\n}\n\nTensor.prototype.batchNorm = function <R extends Rank>(\n  this: Tensor<R> | TensorLike, mean: Tensor<R> | Tensor1D | TensorLike,\n  variance: Tensor<R> | Tensor1D | TensorLike,\n  offset?: Tensor<R> | Tensor1D | TensorLike,\n  scale?: Tensor<R> | Tensor1D | TensorLike,\n  varianceEpsilon?: number): Tensor<R> {\n  return batchNorm(this, mean, variance, offset, scale, varianceEpsilon);\n};\n","/**\n * @license\n * Copyright 2017 Google Inc. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\n/**\n * @fileoverview\n * @suppress {partialAlias} Optimization disabled due to passing the module\n * object into a function below:\n *\n *   import * as ops from './ops/ops';\n *   setOpHandler(ops);\n */\n\n// Engine is the global singleton that needs to be initialized before the rest\n// of the app.\nimport './engine';\n// Register backend-agnostic flags.\nimport './flags';\n// backend_cpu.ts and backend_webgl.ts are standalone files and should be\n// explicitly included here.\nimport './backends/webgl/backend_webgl';\nimport './backends/cpu/backend_cpu';\n// Import all kernels from cpu.\nimport './backends/cpu/register_all_kernels';\n// Import all kernels from webgl.\nimport './backends/webgl/register_all_kernels';\n\n// Register all the gradients.\nimport './register_all_gradients';\n\nimport './platforms/platform_browser';\nimport './platforms/platform_node';\n\nimport * as backend_util from './backends/backend_util';\n// Serialization.\nimport * as io from './io/io';\nimport * as math from './math';\nimport * as browser from './ops/browser';\nimport * as gather_util from './ops/gather_nd_util';\nimport * as scatter_util from './ops/scatter_nd_util';\nimport * as slice_util from './ops/slice_util';\nimport * as serialization from './serialization';\nimport {setOpHandler} from './tensor';\nimport * as tensor_util from './tensor_util';\nimport * as test_util from './test_util';\nimport * as util from './util';\nimport {version} from './version';\nimport * as webgl from './webgl';\n\nexport {InferenceModel, MetaGraph, MetaGraphInfo, ModelPredictConfig, ModelTensorInfo, SavedModelTensorInfo, SignatureDef, SignatureDefInfo} from './model_types';\n// Optimizers.\nexport {AdadeltaOptimizer} from './optimizers/adadelta_optimizer';\nexport {AdagradOptimizer} from './optimizers/adagrad_optimizer';\nexport {AdamOptimizer} from './optimizers/adam_optimizer';\nexport {AdamaxOptimizer} from './optimizers/adamax_optimizer';\nexport {MomentumOptimizer} from './optimizers/momentum_optimizer';\nexport {Optimizer} from './optimizers/optimizer';\nexport {RMSPropOptimizer} from './optimizers/rmsprop_optimizer';\nexport {SGDOptimizer} from './optimizers/sgd_optimizer';\nexport {Scalar, Tensor, Tensor1D, Tensor2D, Tensor3D, Tensor4D, Tensor5D, TensorBuffer, Variable} from './tensor';\nexport {GradSaveFunc, NamedTensorMap, TensorContainer, TensorContainerArray, TensorContainerObject} from './tensor_types';\nexport {DataType, DataTypeMap, DataValues, Rank, RecursiveArray, ShapeMap, sumOutType, TensorLike} from './types';\n\nexport * from './ops/ops';\nexport {LSTMCellFunc} from './ops/lstm';\nexport {Reduction} from './ops/loss_ops';\n\nexport * from './train';\nexport * from './globals';\nexport * from './kernel_names';\nexport * from './kernel_registry';\nexport {customGrad, grad, grads, valueAndGrad, valueAndGrads, variableGrads} from './gradients';\n\nexport {TimingInfo, MemoryInfo} from './engine';\nexport {Environment, env, ENV} from './environment';\nexport {Platform} from './platforms/platform';\n\nexport {version as version_core};\n\n// Top-level method exports.\nexport {nextFrame} from './browser_util';\n\n// Second level exports.\nexport {\n  browser,\n  io,\n  math,\n  serialization,\n  test_util,\n  util,\n  backend_util,\n  webgl,\n  tensor_util,\n  slice_util,\n  gather_util,\n  scatter_util\n};\n\n// Backend specific.\nexport {KernelBackend, BackendTimingInfo, DataMover, DataStorage} from './backends/backend';\n\nimport * as ops from './ops/ops';\nsetOpHandler(ops);\n\n// Import all op chainers and add type info to Tensor.\nimport 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